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hf_public_repos/tokenizers/bindings/python/tests
|
hf_public_repos/tokenizers/bindings/python/tests/bindings/test_normalizers.py
|
import pickle
import pytest
from tokenizers import NormalizedString, Tokenizer
from tokenizers.models import BPE
from tokenizers.normalizers import BertNormalizer, Lowercase, Normalizer, Sequence, Strip, Prepend
class TestBertNormalizer:
def test_instantiate(self):
assert isinstance(BertNormalizer(), Normalizer)
assert isinstance(BertNormalizer(), BertNormalizer)
assert isinstance(pickle.loads(pickle.dumps(BertNormalizer())), BertNormalizer)
def test_strip_accents(self):
normalizer = BertNormalizer(strip_accents=True, lowercase=False, handle_chinese_chars=False, clean_text=False)
output = normalizer.normalize_str("Héllò")
assert output == "Hello"
def test_handle_chinese_chars(self):
normalizer = BertNormalizer(strip_accents=False, lowercase=False, handle_chinese_chars=True, clean_text=False)
output = normalizer.normalize_str("你好")
assert output == " 你 好 "
def test_clean_text(self):
normalizer = BertNormalizer(strip_accents=False, lowercase=False, handle_chinese_chars=False, clean_text=True)
output = normalizer.normalize_str("\ufeffHello")
assert output == "Hello"
def test_lowercase(self):
normalizer = BertNormalizer(strip_accents=False, lowercase=True, handle_chinese_chars=False, clean_text=False)
output = normalizer.normalize_str("Héllò")
assert output == "héllò"
def test_can_modify(self):
normalizer = BertNormalizer(clean_text=True, handle_chinese_chars=True, strip_accents=True, lowercase=True)
assert normalizer.clean_text == True
assert normalizer.handle_chinese_chars == True
assert normalizer.strip_accents == True
assert normalizer.lowercase == True
# Modify these
normalizer.clean_text = False
assert normalizer.clean_text == False
normalizer.handle_chinese_chars = False
assert normalizer.handle_chinese_chars == False
normalizer.strip_accents = None
assert normalizer.strip_accents == None
normalizer.lowercase = False
assert normalizer.lowercase == False
class TestSequence:
def test_instantiate(self):
assert isinstance(Sequence([]), Normalizer)
assert isinstance(Sequence([]), Sequence)
assert isinstance(pickle.loads(pickle.dumps(Sequence([]))), Sequence)
def test_can_make_sequences(self):
normalizer = Sequence([Lowercase(), Strip()])
output = normalizer.normalize_str(" HELLO ")
assert output == "hello"
class TestLowercase:
def test_instantiate(self):
assert isinstance(Lowercase(), Normalizer)
assert isinstance(Lowercase(), Lowercase)
assert isinstance(pickle.loads(pickle.dumps(Lowercase())), Lowercase)
def test_lowercase(self):
normalizer = Lowercase()
output = normalizer.normalize_str("HELLO")
assert output == "hello"
class TestStrip:
def test_instantiate(self):
assert isinstance(Strip(), Normalizer)
assert isinstance(Strip(), Strip)
assert isinstance(pickle.loads(pickle.dumps(Strip())), Strip)
def test_left_strip(self):
normalizer = Strip(left=True, right=False)
output = normalizer.normalize_str(" hello ")
assert output == "hello "
def test_right_strip(self):
normalizer = Strip(left=False, right=True)
output = normalizer.normalize_str(" hello ")
assert output == " hello"
def test_full_strip(self):
normalizer = Strip(left=True, right=True)
output = normalizer.normalize_str(" hello ")
assert output == "hello"
def test_can_modify(self):
normalizer = Strip(left=True, right=True)
assert normalizer.left == True
assert normalizer.right == True
# Modify these
normalizer.left = False
assert normalizer.left == False
normalizer.right = False
assert normalizer.right == False
class TestPrepend:
def test_instantiate(self):
assert isinstance(Prepend("▁"), Normalizer)
assert isinstance(Prepend("▁"), Prepend)
assert isinstance(pickle.loads(pickle.dumps(Prepend("▁"))), Prepend)
def test_prepend(self):
normalizer = Prepend(prepend="▁")
output = normalizer.normalize_str("hello")
assert output == "▁hello"
def test_can_modify(self):
normalizer = Prepend("▁")
assert normalizer.prepend == "▁"
# Modify these
normalizer.prepend = "-"
assert normalizer.prepend == "-"
class TestCustomNormalizer:
class BadCustomNormalizer:
def normalize(self, normalized, wrong):
pass
class GoodCustomNormalizer:
def normalize(self, normalized):
self.kept_normalized = normalized
normalized.replace("there", "you")
def use_after_normalize(self):
self.kept_normalized.replace("something", "else")
def test_instantiate(self):
bad = Normalizer.custom(TestCustomNormalizer.BadCustomNormalizer())
good_custom = TestCustomNormalizer.GoodCustomNormalizer()
good = Normalizer.custom(good_custom)
assert isinstance(bad, Normalizer)
assert isinstance(good, Normalizer)
with pytest.raises(Exception, match="TypeError:.*normalize()"):
bad.normalize_str("Hey there!")
assert good.normalize_str("Hey there!") == "Hey you!"
with pytest.raises(Exception, match="Cannot use a NormalizedStringRefMut outside `normalize`"):
good_custom.use_after_normalize()
def test_normalizer_interface(self):
normalizer = Normalizer.custom(TestCustomNormalizer.GoodCustomNormalizer())
normalized = NormalizedString("Hey there!")
normalizer.normalize(normalized)
assert repr(normalized) == 'NormalizedString(original="Hey there!", normalized="Hey you!")'
assert str(normalized) == "Hey you!"
| 0
|
hf_public_repos/tokenizers/bindings/python/tests
|
hf_public_repos/tokenizers/bindings/python/tests/bindings/test_tokenizer.py
|
import pickle
import numpy as np
import pytest
from tokenizers import AddedToken, Encoding, Tokenizer
from tokenizers.implementations import BertWordPieceTokenizer
from tokenizers.models import BPE, Model, WordPiece, Unigram
from tokenizers.normalizers import Lowercase
from tokenizers.pre_tokenizers import ByteLevel
from tokenizers.processors import BertProcessing, RobertaProcessing
from ..utils import bert_files, data_dir, multiprocessing_with_parallelism, roberta_files
class TestAddedToken:
def test_instantiate_with_content_only(self):
added_token = AddedToken("<mask>")
added_token.content = "<MASK>"
assert added_token.content == "<MASK>"
assert type(added_token) == AddedToken
added_token.content = added_token.content.lower()
assert added_token.special == False
added_token.special = True
assert added_token.special == True
added_token.special = False
assert str(added_token) == "<mask>"
assert (
repr(added_token)
== 'AddedToken("<mask>", rstrip=False, lstrip=False, single_word=False, normalized=True, special=False)'
)
assert added_token.rstrip == False
assert added_token.lstrip == False
assert added_token.single_word == False
assert added_token.normalized == True
assert isinstance(pickle.loads(pickle.dumps(added_token)), AddedToken)
def test_can_set_rstrip(self):
added_token = AddedToken("<mask>", rstrip=True)
assert added_token.rstrip == True
assert added_token.lstrip == False
assert added_token.single_word == False
assert added_token.normalized == True
def test_can_set_lstrip(self):
added_token = AddedToken("<mask>", lstrip=True)
assert added_token.rstrip == False
assert added_token.lstrip == True
assert added_token.single_word == False
assert added_token.normalized == True
def test_can_set_single_world(self):
added_token = AddedToken("<mask>", single_word=True)
assert added_token.rstrip == False
assert added_token.lstrip == False
assert added_token.single_word == True
assert added_token.normalized == True
def test_can_set_normalized(self):
added_token = AddedToken("<mask>", normalized=False)
assert added_token.rstrip == False
assert added_token.lstrip == False
assert added_token.single_word == False
assert added_token.normalized == False
class TestTokenizer:
def test_has_expected_type_and_methods(self):
tokenizer = Tokenizer(BPE())
assert type(tokenizer) == Tokenizer
assert callable(tokenizer.num_special_tokens_to_add)
assert callable(tokenizer.get_vocab)
assert callable(tokenizer.get_vocab_size)
assert callable(tokenizer.enable_truncation)
assert callable(tokenizer.no_truncation)
assert callable(tokenizer.enable_padding)
assert callable(tokenizer.no_padding)
assert callable(tokenizer.encode)
assert callable(tokenizer.encode_batch)
assert callable(tokenizer.decode)
assert callable(tokenizer.decode_batch)
assert callable(tokenizer.token_to_id)
assert callable(tokenizer.id_to_token)
assert callable(tokenizer.add_tokens)
assert callable(tokenizer.add_special_tokens)
assert callable(tokenizer.train)
assert callable(tokenizer.post_process)
assert isinstance(tokenizer.model, Model)
assert tokenizer.normalizer is None
assert tokenizer.pre_tokenizer is None
assert tokenizer.post_processor is None
assert tokenizer.decoder is None
assert isinstance(pickle.loads(pickle.dumps(Tokenizer(BPE()))), Tokenizer)
def test_add_tokens(self):
tokenizer = Tokenizer(BPE())
added = tokenizer.add_tokens(["my", "name", "is", "john"])
assert added == 4
tokens = [AddedToken("the"), AddedToken("quick", normalized=False), AddedToken()]
assert tokens[0].normalized == True
added = tokenizer.add_tokens(tokens)
assert added == 2
assert tokens[0].normalized == True
assert tokens[1].normalized == False
def test_add_special_tokens(self):
tokenizer = Tokenizer(BPE())
# Can add special tokens as `str`
added = tokenizer.add_special_tokens(["my", "name", "is", "john"])
assert added == 4
# Can add special tokens as `AddedToken`
tokens = [AddedToken("the"), AddedToken("quick", normalized=True), AddedToken()]
assert tokens[0].normalized == True
added = tokenizer.add_special_tokens(tokens)
assert added == 2
assert tokens[0].normalized == False
assert tokens[1].normalized == True
def test_encode(self):
tokenizer = Tokenizer(BPE())
tokenizer.add_tokens(["my", "name", "is", "john", "pair"])
# Can encode single sequence
output = tokenizer.encode("my name is john")
assert output.tokens == ["my", "name", "is", "john"]
assert type(output.ids) == list
assert type(output.type_ids) == list
assert type(output.offsets) == list
with pytest.warns(DeprecationWarning):
assert type(output.words) == list
assert type(output.word_ids) == list
assert type(output.special_tokens_mask) == list
assert type(output.attention_mask) == list
assert type(output.overflowing) == list
# Can encode a pair of sequences
output = tokenizer.encode("my name is john", "pair")
assert output.tokens == ["my", "name", "is", "john", "pair"]
assert isinstance(pickle.loads(pickle.dumps(output)), Encoding)
# Can encode a single pre-tokenized sequence
output = tokenizer.encode(["my", "name", "is", "john"], is_pretokenized=True)
assert output.tokens == ["my", "name", "is", "john"]
# Can encode a batch with both a single sequence and a pair of sequences
output = tokenizer.encode_batch(["my name is john", ("my name is john", "pair")])
assert len(output) == 2
def test_encode_formats(self, bert_files):
with pytest.deprecated_call():
tokenizer = BertWordPieceTokenizer(bert_files["vocab"])
# Encode
output = tokenizer.encode("my name is john")
assert output.tokens == ["[CLS]", "my", "name", "is", "john", "[SEP]"]
output = tokenizer.encode("my name is john", "pair")
assert output.tokens == ["[CLS]", "my", "name", "is", "john", "[SEP]", "pair", "[SEP]"]
output = tokenizer.encode(["my", "name", "is", "john"], is_pretokenized=True)
assert output.tokens == ["[CLS]", "my", "name", "is", "john", "[SEP]"]
output = tokenizer.encode(["my", "name", "is", "john"], ["pair"], is_pretokenized=True)
assert output.tokens == ["[CLS]", "my", "name", "is", "john", "[SEP]", "pair", "[SEP]"]
# Encode batch
result_single = [
["[CLS]", "my", "name", "is", "john", "[SEP]"],
["[CLS]", "my", "name", "is", "georges", "[SEP]"],
]
result_pair = [
["[CLS]", "my", "name", "is", "john", "[SEP]", "pair", "[SEP]"],
["[CLS]", "my", "name", "is", "georges", "[SEP]", "pair", "[SEP]"],
]
def format(encodings):
return [e.tokens for e in encodings]
def test_single(input, is_pretokenized=False):
output = tokenizer.encode_batch(input, is_pretokenized=is_pretokenized)
assert format(output) == result_single
def test_pair(input, is_pretokenized=False):
output = tokenizer.encode_batch(input, is_pretokenized=is_pretokenized)
assert format(output) == result_pair
# Classic inputs
# Lists
test_single(["My name is John", "My name is Georges"])
test_pair([("my name is john", "pair"), ("my name is georges", "pair")])
test_pair([["my name is john", "pair"], ["my name is georges", "pair"]])
# Tuples
test_single(("My name is John", "My name is Georges"))
test_pair((("My name is John", "pair"), ("My name is Georges", "pair")))
# Numpy
test_single(np.array(["My name is John", "My name is Georges"]))
test_pair(np.array([("My name is John", "pair"), ("My name is Georges", "pair")]))
test_pair(np.array([["My name is John", "pair"], ["My name is Georges", "pair"]]))
# PreTokenized inputs
# Lists
test_single([["My", "name", "is", "John"], ["My", "name", "is", "Georges"]], True)
test_pair(
[
(["My", "name", "is", "John"], ["pair"]),
(["My", "name", "is", "Georges"], ["pair"]),
],
True,
)
test_pair(
[
[["My", "name", "is", "John"], ["pair"]],
[["My", "name", "is", "Georges"], ["pair"]],
],
True,
)
# Tuples
test_single((("My", "name", "is", "John"), ("My", "name", "is", "Georges")), True)
test_pair(
(
(("My", "name", "is", "John"), ("pair",)),
(("My", "name", "is", "Georges"), ("pair",)),
),
True,
)
test_pair(
(
(["My", "name", "is", "John"], ["pair"]),
(["My", "name", "is", "Georges"], ["pair"]),
),
True,
)
# Numpy
test_single(
np.array([["My", "name", "is", "John"], ["My", "name", "is", "Georges"]]),
True,
)
test_single(
np.array((("My", "name", "is", "John"), ("My", "name", "is", "Georges"))),
True,
)
test_pair(
np.array(
[
[["My", "name", "is", "John"], ["pair"]],
[["My", "name", "is", "Georges"], ["pair"]],
],
dtype=object,
),
True,
)
test_pair(
np.array(
(
(("My", "name", "is", "John"), ("pair",)),
(("My", "name", "is", "Georges"), ("pair",)),
),
dtype=object,
),
True,
)
# Mal formed
with pytest.raises(TypeError, match="TextInputSequence must be str"):
tokenizer.encode([["my", "name"]])
with pytest.raises(TypeError, match="TextInputSequence must be str"):
tokenizer.encode("My name is john", [["pair"]])
with pytest.raises(TypeError, match="TextInputSequence must be str"):
tokenizer.encode("my name is john", ["pair"])
with pytest.raises(TypeError, match="InputSequence must be Union[List[str]"):
tokenizer.encode("My name is john", is_pretokenized=True)
with pytest.raises(TypeError, match="InputSequence must be Union[List[str]"):
tokenizer.encode("My name is john", ["pair"], is_pretokenized=True)
with pytest.raises(TypeError, match="InputSequence must be Union[List[str]"):
tokenizer.encode(["My", "name", "is", "John"], "pair", is_pretokenized=True)
def test_encode_add_special_tokens(self, roberta_files):
with pytest.deprecated_call():
tokenizer = Tokenizer(BPE(roberta_files["vocab"], roberta_files["merges"]))
tokenizer.add_special_tokens(["<s>", "</s>"])
tokenizer.pre_tokenizer = ByteLevel(add_prefix_space=True)
tokenizer.post_processor = RobertaProcessing(
("</s>", tokenizer.token_to_id("</s>")),
("<s>", tokenizer.token_to_id("<s>")),
)
# Can encode with special tokens
output_with_specials = tokenizer.encode("My name is John", add_special_tokens=True)
assert output_with_specials.tokens == ["<s>", "ĠMy", "Ġname", "Ġis", "ĠJohn", "</s>"]
# Can encode without special tokens
output_without_specials = tokenizer.encode("My name is John", add_special_tokens=False)
assert output_without_specials.tokens == ["ĠMy", "Ġname", "Ġis", "ĠJohn"]
def test_truncation(self):
tokenizer = Tokenizer(BPE())
tokenizer.add_tokens(["my", "name", "is", "john", "pair"])
tokenizer.enable_truncation(2)
# Can truncate single sequences
output = tokenizer.encode("my name is john")
assert output.tokens == ["my", "name"]
# Can truncate pair sequences as well
output = tokenizer.encode("my name is john", "pair")
assert output.tokens == ["my", "pair"]
# Can get the params and give them to enable_truncation
trunc = tokenizer.truncation
tokenizer.enable_truncation(**trunc)
# Left truncation direction
tokenizer.enable_truncation(2, direction="left")
output = tokenizer.encode("my name is john")
assert output.tokens == ["is", "john"]
output = tokenizer.encode("my name is john", "pair")
assert output.tokens == ["john", "pair"]
def test_padding(self):
tokenizer = Tokenizer(BPE())
tokenizer.add_tokens(["my", "name", "is", "john", "pair"])
# By default it does nothing when encoding single sequence
tokenizer.enable_padding()
output = tokenizer.encode("my name")
assert output.tokens == ["my", "name"]
# Can pad to the longest in a batch
output = tokenizer.encode_batch(["my name", "my name is john"])
assert all([len(encoding) == 4 for encoding in output])
# Can pad to the specified length otherwise
tokenizer.enable_padding(length=4)
output = tokenizer.encode("my name")
assert output.tokens == ["my", "name", "[PAD]", "[PAD]"]
output = tokenizer.encode("my name", "pair")
assert output.tokens == ["my", "name", "pair", "[PAD]"]
# Can get the params and give them to enable_padding
padding = tokenizer.padding
tokenizer.enable_padding(**padding)
def test_decode(self):
tokenizer = Tokenizer(BPE())
tokenizer.add_tokens(["my", "name", "is", "john", "pair"])
# Can decode single sequences
output = tokenizer.decode([0, 1, 2, 3])
assert output == "my name is john"
# Can decode batch
output = tokenizer.decode_batch([[0, 1, 2, 3], [4]])
assert output == ["my name is john", "pair"]
def test_get_vocab(self):
tokenizer = Tokenizer(BPE())
tokenizer.add_tokens(["my", "name", "is", "john", "pair"])
# Can retrieve vocab with added tokens
vocab = tokenizer.get_vocab(with_added_tokens=True)
assert vocab == {"is": 2, "john": 3, "my": 0, "name": 1, "pair": 4}
# Can retrieve vocab without added tokens
vocab = tokenizer.get_vocab(with_added_tokens=False)
assert vocab == {}
# Can retrieve added token decoder
vocab = tokenizer.get_added_tokens_decoder()
assert vocab == {
0: AddedToken("my", rstrip=False, lstrip=False, single_word=False, normalized=True, special=False),
1: AddedToken("name", rstrip=False, lstrip=False, single_word=False, normalized=True, special=False),
2: AddedToken("is", rstrip=False, lstrip=False, single_word=False, normalized=True, special=False),
3: AddedToken("john", rstrip=False, lstrip=False, single_word=False, normalized=True, special=False),
4: AddedToken("pair", rstrip=False, lstrip=False, single_word=False, normalized=True, special=False),
}
def test_get_vocab_size(self):
tokenizer = Tokenizer(BPE())
tokenizer.add_tokens(["my", "name", "is", "john", "pair"])
# Can retrieve vocab's size with added tokens
size = tokenizer.get_vocab_size(with_added_tokens=True)
assert size == 5
# Can retrieve vocab's size without added tokens
size = tokenizer.get_vocab_size(with_added_tokens=False)
assert size == 0
def test_post_process(self):
tokenizer = Tokenizer(BPE())
tokenizer.add_tokens(["my", "name", "is", "john", "pair"])
tokenizer.enable_truncation(2)
tokenizer.enable_padding(length=4)
encoding = tokenizer.encode("my name is john")
pair_encoding = tokenizer.encode("pair")
# Can post process a single encoding
output = tokenizer.post_process(encoding)
assert output.tokens == ["my", "name", "[PAD]", "[PAD]"]
# Can post process a pair of encodings
output = tokenizer.post_process(encoding, pair_encoding)
assert output.tokens == ["my", "pair", "[PAD]", "[PAD]"]
def test_multiprocessing_with_parallelism(self):
tokenizer = Tokenizer(BPE())
multiprocessing_with_parallelism(tokenizer, False)
multiprocessing_with_parallelism(tokenizer, True)
def test_from_pretrained(self):
tokenizer = Tokenizer.from_pretrained("bert-base-cased")
output = tokenizer.encode("Hey there dear friend!", add_special_tokens=False)
assert output.tokens == ["Hey", "there", "dear", "friend", "!"]
def test_from_pretrained_revision(self):
tokenizer = Tokenizer.from_pretrained("anthony/tokenizers-test")
output = tokenizer.encode("Hey there dear friend!", add_special_tokens=False)
assert output.tokens == ["hey", "there", "dear", "friend", "!"]
tokenizer = Tokenizer.from_pretrained("anthony/tokenizers-test", revision="gpt-2")
output = tokenizer.encode("Hey there dear friend!", add_special_tokens=False)
assert output.tokens == ["Hey", "Ġthere", "Ġdear", "Ġfriend", "!"]
def test_unigram_byte_fallback(self):
vocab = [
("<unk>", 0.0),
("A", -0.01),
("sen", -0.02),
("te", -0.03),
("n", -0.04),
("ce", -0.05),
("<0xF0>", -0.06),
("<0x9F>", -0.06),
("<0xA4>", -0.06),
("<0x97>", -0.06),
(" ", -0.4),
]
tokenizer = tokenizer = Tokenizer(Unigram(vocab, 0, byte_fallback=False))
output = tokenizer.encode("A sentence 🤗")
assert output.ids == [1, 10, 2, 3, 4, 5, 10, 0]
assert output.tokens == ["A", " ", "sen", "te", "n", "ce", " ", "🤗"]
tokenizer = Tokenizer(Unigram(vocab, 0, byte_fallback=True))
output = tokenizer.encode("A sentence 🤗")
assert output.ids == [1, 10, 2, 3, 4, 5, 10, 6, 7, 8, 9]
assert output.tokens == ["A", " ", "sen", "te", "n", "ce", " ", "<0xF0>", "<0x9F>", "<0xA4>", "<0x97>"]
| 0
|
hf_public_repos/tokenizers/bindings/python/tests
|
hf_public_repos/tokenizers/bindings/python/tests/bindings/test_pre_tokenizers.py
|
import json
import pickle
import pytest
from tokenizers.pre_tokenizers import (
BertPreTokenizer,
ByteLevel,
CharDelimiterSplit,
Digits,
Metaspace,
PreTokenizer,
Punctuation,
Sequence,
Split,
UnicodeScripts,
Whitespace,
WhitespaceSplit,
)
class TestByteLevel:
def test_instantiate(self):
assert ByteLevel() is not None
assert ByteLevel(add_prefix_space=True) is not None
assert ByteLevel(add_prefix_space=False) is not None
assert isinstance(ByteLevel(), PreTokenizer)
assert isinstance(ByteLevel(), ByteLevel)
assert isinstance(pickle.loads(pickle.dumps(ByteLevel())), ByteLevel)
def test_has_alphabet(self):
assert isinstance(ByteLevel.alphabet(), list)
assert len(ByteLevel.alphabet()) == 256
def test_can_modify(self):
pretok = ByteLevel(add_prefix_space=False)
assert pretok.add_prefix_space == False
# Modify these
pretok.add_prefix_space = True
assert pretok.add_prefix_space == True
def test_manual_reload(self):
byte_level = ByteLevel()
state = json.loads(byte_level.__getstate__())
reloaded = ByteLevel(**state)
assert isinstance(reloaded, ByteLevel)
class TestSplit:
def test_instantiate(self):
pre_tokenizer = Split(pattern=" ", behavior="removed")
assert pre_tokenizer is not None
assert isinstance(pre_tokenizer, PreTokenizer)
assert isinstance(pre_tokenizer, Split)
assert isinstance(pickle.loads(pickle.dumps(Split(" ", "removed"))), Split)
# test with invert=True
pre_tokenizer_with_invert = Split(pattern=" ", behavior="isolated", invert=True)
assert pre_tokenizer_with_invert is not None
assert isinstance(pre_tokenizer_with_invert, PreTokenizer)
assert isinstance(pre_tokenizer_with_invert, Split)
assert isinstance(pickle.loads(pickle.dumps(Split(" ", "removed", True))), Split)
class TestWhitespace:
def test_instantiate(self):
assert Whitespace() is not None
assert isinstance(Whitespace(), PreTokenizer)
assert isinstance(Whitespace(), Whitespace)
assert isinstance(pickle.loads(pickle.dumps(Whitespace())), Whitespace)
class TestWhitespaceSplit:
def test_instantiate(self):
assert WhitespaceSplit() is not None
assert isinstance(WhitespaceSplit(), PreTokenizer)
assert isinstance(WhitespaceSplit(), WhitespaceSplit)
assert isinstance(pickle.loads(pickle.dumps(WhitespaceSplit())), WhitespaceSplit)
class TestBertPreTokenizer:
def test_instantiate(self):
assert BertPreTokenizer() is not None
assert isinstance(BertPreTokenizer(), PreTokenizer)
assert isinstance(BertPreTokenizer(), BertPreTokenizer)
assert isinstance(pickle.loads(pickle.dumps(BertPreTokenizer())), BertPreTokenizer)
class TestMetaspace:
def test_instantiate(self):
assert Metaspace() is not None
assert Metaspace(replacement="-") is not None
with pytest.raises(ValueError, match="expected a string of length 1"):
Metaspace(replacement="")
assert Metaspace(add_prefix_space=True) is not None
assert isinstance(Metaspace(), PreTokenizer)
assert isinstance(Metaspace(), Metaspace)
assert isinstance(pickle.loads(pickle.dumps(Metaspace())), Metaspace)
def test_can_modify(self):
pretok = Metaspace(replacement="$", add_prefix_space=False)
assert pretok.replacement == "$"
assert pretok.add_prefix_space == False
# Modify these
pretok.replacement = "%"
assert pretok.replacement == "%"
pretok.add_prefix_space = True
assert pretok.add_prefix_space == True
pretok.prepend_scheme = "never"
assert pretok.prepend_scheme == "never"
class TestCharDelimiterSplit:
def test_instantiate(self):
assert CharDelimiterSplit("-") is not None
with pytest.raises(ValueError, match="expected a string of length 1"):
CharDelimiterSplit("")
assert isinstance(CharDelimiterSplit(" "), PreTokenizer)
assert isinstance(CharDelimiterSplit(" "), CharDelimiterSplit)
assert isinstance(pickle.loads(pickle.dumps(CharDelimiterSplit("-"))), CharDelimiterSplit)
def test_can_modify(self):
pretok = CharDelimiterSplit("@")
assert pretok.delimiter == "@"
# Modify these
pretok.delimiter = "!"
assert pretok.delimiter == "!"
class TestPunctuation:
def test_instantiate(self):
assert Punctuation() is not None
assert Punctuation("removed") is not None
assert isinstance(Punctuation(), PreTokenizer)
assert isinstance(Punctuation(), Punctuation)
assert isinstance(pickle.loads(pickle.dumps(Punctuation())), Punctuation)
class TestSequence:
def test_instantiate(self):
assert Sequence([]) is not None
assert isinstance(Sequence([]), PreTokenizer)
assert isinstance(Sequence([]), Sequence)
dumped = pickle.dumps(Sequence([]))
assert isinstance(pickle.loads(dumped), Sequence)
def test_bert_like(self):
pre_tokenizer = Sequence([WhitespaceSplit(), Punctuation()])
assert isinstance(Sequence([]), PreTokenizer)
assert isinstance(Sequence([]), Sequence)
assert isinstance(pickle.loads(pickle.dumps(pre_tokenizer)), Sequence)
result = pre_tokenizer.pre_tokenize_str("Hey friend! How are you?!?")
assert result == [
("Hey", (0, 3)),
("friend", (4, 10)),
("!", (10, 11)),
("How", (16, 19)),
("are", (20, 23)),
("you", (24, 27)),
("?", (27, 28)),
("!", (28, 29)),
("?", (29, 30)),
]
class TestDigits:
def test_instantiate(self):
assert Digits() is not None
assert isinstance(Digits(), PreTokenizer)
assert isinstance(Digits(), Digits)
assert isinstance(Digits(True), Digits)
assert isinstance(Digits(False), Digits)
assert isinstance(pickle.loads(pickle.dumps(Digits())), Digits)
def test_can_modify(self):
pretok = Digits(individual_digits=False)
assert pretok.individual_digits == False
# Modify these
pretok.individual_digits = True
assert pretok.individual_digits == True
class TestUnicodeScripts:
def test_instantiate(self):
assert UnicodeScripts() is not None
assert isinstance(UnicodeScripts(), PreTokenizer)
assert isinstance(UnicodeScripts(), UnicodeScripts)
assert isinstance(pickle.loads(pickle.dumps(UnicodeScripts())), UnicodeScripts)
class TestCustomPreTokenizer:
class BadCustomPretok:
def pre_tokenize(self, pretok, wrong):
# This method does not have the right signature: it takes one too many arg
pass
class GoodCustomPretok:
def split(self, n, normalized):
# Here we just test that we can return a List[NormalizedString], it
# does not really make sense to return twice the same otherwise
return [normalized, normalized]
def pre_tokenize(self, pretok):
pretok.split(self.split)
def test_instantiate(self):
bad = PreTokenizer.custom(TestCustomPreTokenizer.BadCustomPretok())
good = PreTokenizer.custom(TestCustomPreTokenizer.GoodCustomPretok())
assert isinstance(bad, PreTokenizer)
assert isinstance(good, PreTokenizer)
with pytest.raises(Exception, match="TypeError:.*pre_tokenize()"):
bad.pre_tokenize_str("Hey there!")
assert good.pre_tokenize_str("Hey there!") == [
("Hey there!", (0, 10)),
("Hey there!", (0, 10)),
]
def test_camel_case(self):
class CamelCasePretok:
def get_state(self, c):
if c.islower():
return "lower"
elif c.isupper():
return "upper"
elif c.isdigit():
return "digit"
else:
return "rest"
def split(self, n, normalized):
i = 0
# states = {"any", "lower", "upper", "digit", "rest"}
state = "any"
pieces = []
for j, c in enumerate(normalized.normalized):
c_state = self.get_state(c)
if state == "any":
state = c_state
if state != "rest" and state == c_state:
pass
elif state == "upper" and c_state == "lower":
pass
else:
pieces.append(normalized[i:j])
i = j
state = c_state
pieces.append(normalized[i:])
return pieces
def pre_tokenize(self, pretok):
pretok.split(self.split)
camel = PreTokenizer.custom(CamelCasePretok())
assert camel.pre_tokenize_str("HeyThere!?-ThisIsLife") == [
("Hey", (0, 3)),
("There", (3, 8)),
("!", (8, 9)),
("?", (9, 10)),
("-", (10, 11)),
("This", (11, 15)),
("Is", (15, 17)),
("Life", (17, 21)),
]
| 0
|
hf_public_repos/tokenizers/bindings/python/tests
|
hf_public_repos/tokenizers/bindings/python/tests/bindings/test_encoding.py
|
import pytest
from tokenizers import BertWordPieceTokenizer
from ..utils import bert_files, data_dir
class TestEncoding:
@pytest.fixture(scope="class")
def encodings(self, bert_files):
tokenizer = BertWordPieceTokenizer.from_file(bert_files["vocab"])
single_encoding = tokenizer.encode("I love HuggingFace")
pair_encoding = tokenizer.encode("I love HuggingFace", "Do you?")
return single_encoding, pair_encoding
def test_sequence_ids(self, encodings):
single, pair = encodings
assert single.sequence_ids == [None, 0, 0, 0, 0, None]
assert pair.sequence_ids == [None, 0, 0, 0, 0, None, 1, 1, 1, None]
def test_n_sequences(self, encodings):
single, pair = encodings
assert single.n_sequences == 1
assert pair.n_sequences == 2
def test_word_to_tokens(self, encodings):
single, pair = encodings
assert single.tokens == ["[CLS]", "i", "love", "hugging", "##face", "[SEP]"]
assert single.word_to_tokens(0) == (1, 2)
assert pair.tokens == [
"[CLS]",
"i",
"love",
"hugging",
"##face",
"[SEP]",
"do",
"you",
"?",
"[SEP]",
]
assert pair.word_to_tokens(0) == (1, 2)
assert pair.word_to_tokens(0, 0) == (1, 2)
assert pair.word_to_tokens(6, 0) == None
assert pair.word_to_tokens(0, 1) == (6, 7)
def test_word_to_chars(self, encodings):
single, pair = encodings
assert single.word_to_chars(2) == (7, 18)
assert pair.word_to_chars(2) == (7, 18)
assert pair.word_to_chars(2, 0) == (7, 18)
assert pair.word_to_chars(2, 1) == (6, 7)
def test_token_to_sequence(self, encodings):
single, pair = encodings
assert single.token_to_sequence(2) == 0
assert pair.token_to_sequence(2) == 0
assert pair.token_to_sequence(0) == None
assert pair.token_to_sequence(5) == None
assert pair.token_to_sequence(6) == 1
assert pair.token_to_sequence(8) == 1
assert pair.token_to_sequence(9) == None
assert pair.token_to_sequence(1200) == None
def test_token_to_chars(self, encodings):
single, pair = encodings
assert single.token_to_chars(0) == None
assert single.token_to_chars(2) == (2, 6)
assert pair.token_to_chars(2) == (2, 6)
assert pair.token_to_chars(5) == None
assert pair.token_to_chars(6) == (0, 2)
def test_token_to_word(self, encodings):
single, pair = encodings
assert single.token_to_word(0) == None
assert single.token_to_word(1) == 0
assert single.token_to_word(4) == 2
assert pair.token_to_word(1) == 0
assert pair.token_to_word(4) == 2
assert pair.token_to_word(5) == None
assert pair.token_to_word(6) == 0
assert pair.token_to_word(7) == 1
def test_char_to_token(self, encodings):
single, pair = encodings
assert single.char_to_token(0) == 1
assert pair.char_to_token(0) == 1
assert pair.char_to_token(0, 0) == 1
assert pair.char_to_token(1, 0) == None
assert pair.char_to_token(0, 1) == 6
assert pair.char_to_token(2, 1) == None
def test_char_to_word(self, encodings):
single, pair = encodings
assert single.char_to_word(0) == 0
assert single.char_to_word(1) == None
assert pair.char_to_word(2) == 1
assert pair.char_to_word(2, 0) == 1
assert pair.char_to_word(2, 1) == None
assert pair.char_to_word(3, 1) == 1
def test_truncation(self, encodings):
single, _ = encodings
single.truncate(2, 1, "right")
assert single.tokens == ["[CLS]", "i"]
assert single.overflowing[0].tokens == ["i", "love"]
def test_invalid_truncate_direction(self, encodings):
single, _ = encodings
with pytest.raises(ValueError) as excinfo:
single.truncate(2, 1, "not_a_direction")
assert "Invalid truncation direction value : not_a_direction" == str(excinfo.value)
| 0
|
hf_public_repos/tokenizers/bindings/python/tests
|
hf_public_repos/tokenizers/bindings/python/tests/bindings/test_decoders.py
|
import json
import pickle
import pytest
from tokenizers.decoders import (
CTC,
BPEDecoder,
ByteLevel,
Decoder,
Metaspace,
Sequence,
WordPiece,
ByteFallback,
Replace,
Strip,
Fuse,
)
class TestByteLevel:
def test_instantiate(self):
assert ByteLevel() is not None
assert isinstance(ByteLevel(), Decoder)
assert isinstance(ByteLevel(), ByteLevel)
assert isinstance(pickle.loads(pickle.dumps(ByteLevel())), ByteLevel)
def test_decoding(self):
decoder = ByteLevel()
assert decoder.decode(["My", "Ġname", "Ġis", "ĠJohn"]) == "My name is John"
def test_manual_reload(self):
byte_level = ByteLevel()
state = json.loads(byte_level.__getstate__())
reloaded = ByteLevel(**state)
assert isinstance(reloaded, ByteLevel)
class TestReplace:
def test_instantiate(self):
assert Replace("_", " ") is not None
assert isinstance(Replace("_", " "), Decoder)
assert isinstance(Replace("_", " "), Replace)
# assert isinstance(pickle.loads(pickle.dumps(Replace("_", " "))), Replace)
def test_decoding(self):
decoder = Replace("_", " ")
assert decoder.decode(["My", "_name", "_is", "_John"]) == "My name is John"
class TestWordPiece:
def test_instantiate(self):
assert WordPiece() is not None
assert WordPiece(prefix="__") is not None
assert WordPiece(cleanup=True) is not None
assert isinstance(WordPiece(), Decoder)
assert isinstance(WordPiece(), WordPiece)
assert isinstance(pickle.loads(pickle.dumps(WordPiece())), WordPiece)
def test_decoding(self):
decoder = WordPiece()
assert decoder.decode(["My", "na", "##me", "is", "Jo", "##hn"]) == "My name is John"
assert decoder.decode(["I", "'m", "Jo", "##hn"]) == "I'm John"
decoder = WordPiece(prefix="__", cleanup=False)
assert decoder.decode(["My", "na", "__me", "is", "Jo", "__hn"]) == "My name is John"
assert decoder.decode(["I", "'m", "Jo", "__hn"]) == "I 'm John"
def test_can_modify(self):
decoder = WordPiece(prefix="$$", cleanup=False)
assert decoder.prefix == "$$"
assert decoder.cleanup == False
# Modify these
decoder.prefix = "__"
assert decoder.prefix == "__"
decoder.cleanup = True
assert decoder.cleanup == True
class TestByteFallback:
def test_instantiate(self):
assert ByteFallback() is not None
assert isinstance(ByteFallback(), Decoder)
assert isinstance(ByteFallback(), ByteFallback)
assert isinstance(pickle.loads(pickle.dumps(ByteFallback())), ByteFallback)
def test_decoding(self):
decoder = ByteFallback()
assert decoder.decode(["My", " na", "me"]) == "My name"
assert decoder.decode(["<0x61>"]) == "a"
assert decoder.decode(["<0xE5>"]) == "�"
assert decoder.decode(["<0xE5>", "<0x8f>"]) == "��"
assert decoder.decode(["<0xE5>", "<0x8f>", "<0xab>"]) == "叫"
assert decoder.decode(["<0xE5>", "<0x8f>", "a"]) == "��a"
assert decoder.decode(["<0xE5>", "<0x8f>", "<0xab>", "a"]) == "叫a"
class TestFuse:
def test_instantiate(self):
assert Fuse() is not None
assert isinstance(Fuse(), Decoder)
assert isinstance(Fuse(), Fuse)
assert isinstance(pickle.loads(pickle.dumps(Fuse())), Fuse)
def test_decoding(self):
decoder = Fuse()
assert decoder.decode(["My", " na", "me"]) == "My name"
class TestStrip:
def test_instantiate(self):
assert Strip(left=0, right=0) is not None
assert isinstance(Strip(content="_", left=0, right=0), Decoder)
assert isinstance(Strip(content="_", left=0, right=0), Strip)
assert isinstance(pickle.loads(pickle.dumps(Strip(content="_", left=0, right=0))), Strip)
def test_decoding(self):
decoder = Strip(content="_", left=1, right=0)
assert decoder.decode(["_My", " na", "me", " _-", "__-"]) == "My name _-_-"
class TestMetaspace:
def test_instantiate(self):
assert Metaspace() is not None
assert Metaspace(replacement="-") is not None
with pytest.raises(ValueError, match="expected a string of length 1"):
Metaspace(replacement="")
assert Metaspace(add_prefix_space=True) is not None
assert isinstance(Metaspace(), Decoder)
assert isinstance(Metaspace(), Metaspace)
assert isinstance(pickle.loads(pickle.dumps(Metaspace())), Metaspace)
def test_decoding(self):
decoder = Metaspace()
assert decoder.decode(["▁My", "▁name", "▁is", "▁John"]) == "My name is John"
decoder = Metaspace(replacement="-", add_prefix_space=False)
assert decoder.decode(["-My", "-name", "-is", "-John"]) == " My name is John"
def test_can_modify(self):
decoder = Metaspace(replacement="*", add_prefix_space=False)
assert decoder.replacement == "*"
assert decoder.add_prefix_space == False
# Modify these
decoder.replacement = "&"
assert decoder.replacement == "&"
decoder.add_prefix_space = True
assert decoder.add_prefix_space == True
class TestBPEDecoder:
def test_instantiate(self):
assert BPEDecoder() is not None
assert BPEDecoder(suffix="_") is not None
assert isinstance(BPEDecoder(), Decoder)
assert isinstance(BPEDecoder(), BPEDecoder)
assert isinstance(pickle.loads(pickle.dumps(BPEDecoder())), BPEDecoder)
def test_decoding(self):
decoder = BPEDecoder()
assert decoder.decode(["My</w>", "na", "me</w>", "is</w>", "Jo", "hn</w>"]) == "My name is John"
decoder = BPEDecoder(suffix="_")
assert decoder.decode(["My_", "na", "me_", "is_", "Jo", "hn_"]) == "My name is John"
def test_can_modify(self):
decoder = BPEDecoder(suffix="123")
assert decoder.suffix == "123"
# Modify these
decoder.suffix = "</w>"
assert decoder.suffix == "</w>"
class TestCTCDecoder:
def test_instantiate(self):
assert CTC() is not None
assert CTC(pad_token="[PAD]") is not None
assert isinstance(CTC(), Decoder)
assert isinstance(CTC(), CTC)
assert isinstance(pickle.loads(pickle.dumps(CTC())), CTC)
def test_decoding(self):
decoder = CTC()
assert (
decoder.decode(["<pad>", "<pad>", "h", "e", "e", "l", "l", "<pad>", "l", "o", "o", "o", "<pad>"])
== "hello"
)
decoder = CTC(pad_token="[PAD]")
assert (
decoder.decode(["[PAD]", "[PAD]", "h", "e", "e", "l", "l", "[PAD]", "l", "o", "o", "o", "[PAD]"])
== "hello"
)
def test_can_modify(self):
decoder = CTC(pad_token="[PAD]")
assert decoder.pad_token == "[PAD]"
assert decoder.word_delimiter_token == "|"
assert decoder.cleanup == True
# Modify these
decoder.pad_token = "{pad}"
assert decoder.pad_token == "{pad}"
decoder.word_delimiter_token = "_"
assert decoder.word_delimiter_token == "_"
decoder.cleanup = False
assert decoder.cleanup == False
class TestSequenceDecoder:
def test_instantiate(self):
assert Sequence([]) is not None
assert Sequence([CTC()]) is not None
assert isinstance(Sequence([]), Decoder)
assert isinstance(Sequence([]), Sequence)
serialized = pickle.dumps(Sequence([]))
assert isinstance(pickle.loads(serialized), Sequence)
def test_decoding(self):
decoder = Sequence([CTC(), Metaspace()])
initial = ["▁", "▁", "H", "H", "i", "i", "▁", "y", "o", "u"]
expected = "Hi you"
assert decoder.decode(initial) == expected
| 0
|
hf_public_repos/tokenizers/bindings/python/tests
|
hf_public_repos/tokenizers/bindings/python/tests/bindings/test_models.py
|
import pickle
import pytest
from tokenizers.models import BPE, Model, WordLevel, WordPiece
from ..utils import bert_files, data_dir, roberta_files
class TestBPE:
def test_instantiate(self, roberta_files):
assert isinstance(BPE(), Model)
assert isinstance(BPE(), BPE)
vocab = {"a": 0, "b": 1, "ab": 2}
merges = [("a", "b")]
assert isinstance(BPE(vocab, merges), Model)
assert isinstance(BPE.from_file(roberta_files["vocab"], roberta_files["merges"]), BPE)
with pytest.raises(ValueError, match="`vocab` and `merges` must be both specified"):
BPE(vocab=vocab)
with pytest.raises(ValueError, match="`vocab` and `merges` must be both specified"):
BPE(merges=merges)
assert isinstance(
pickle.loads(pickle.dumps(BPE(vocab, merges))),
BPE,
)
# Deprecated calls in 0.9
with pytest.deprecated_call():
assert isinstance(BPE(roberta_files["vocab"], roberta_files["merges"]), Model)
with pytest.raises(ValueError, match="`vocab` and `merges` must be both specified"):
BPE(vocab=roberta_files["vocab"])
with pytest.raises(ValueError, match="`vocab` and `merges` must be both specified"):
BPE(merges=roberta_files["merges"])
with pytest.deprecated_call():
assert isinstance(
pickle.loads(pickle.dumps(BPE(roberta_files["vocab"], roberta_files["merges"]))),
BPE,
)
def test_can_modify(self):
model = BPE(
dropout=0.5,
unk_token="[UNK]",
continuing_subword_prefix="__prefix__",
end_of_word_suffix="__suffix__",
fuse_unk=False,
)
assert model.dropout == 0.5
assert model.unk_token == "[UNK]"
assert model.continuing_subword_prefix == "__prefix__"
assert model.end_of_word_suffix == "__suffix__"
assert model.fuse_unk == False
assert model.byte_fallback == False
# Modify these
model.dropout = 0.1
assert pytest.approx(model.dropout) == 0.1
model.unk_token = "<unk>"
assert model.unk_token == "<unk>"
model.continuing_subword_prefix = None
assert model.continuing_subword_prefix == None
model.end_of_word_suffix = "suff"
assert model.end_of_word_suffix == "suff"
model.fuse_unk = True
assert model.fuse_unk == True
model.byte_fallback = True
assert model.byte_fallback == True
class TestWordPiece:
def test_instantiate(self, bert_files):
assert isinstance(WordPiece(), Model)
assert isinstance(WordPiece(), WordPiece)
vocab = {"a": 0, "b": 1, "ab": 2}
assert isinstance(WordPiece(vocab), Model)
assert isinstance(WordPiece(vocab), WordPiece)
assert isinstance(WordPiece.from_file(bert_files["vocab"]), WordPiece)
assert isinstance(pickle.loads(pickle.dumps(WordPiece(vocab))), WordPiece)
# Deprecated calls in 0.9
with pytest.deprecated_call():
assert isinstance(WordPiece(bert_files["vocab"]), Model)
with pytest.deprecated_call():
assert isinstance(pickle.loads(pickle.dumps(WordPiece(bert_files["vocab"]))), WordPiece)
def test_can_modify(self):
model = WordPiece(
unk_token="<oov>",
continuing_subword_prefix="__prefix__",
max_input_chars_per_word=200,
)
assert model.unk_token == "<oov>"
assert model.continuing_subword_prefix == "__prefix__"
assert model.max_input_chars_per_word == 200
# Modify these
model.unk_token = "<unk>"
assert model.unk_token == "<unk>"
model.continuing_subword_prefix = "$$$"
assert model.continuing_subword_prefix == "$$$"
model.max_input_chars_per_word = 10
assert model.max_input_chars_per_word == 10
class TestWordLevel:
def test_instantiate(self, roberta_files):
assert isinstance(WordLevel(), Model)
assert isinstance(WordLevel(), WordLevel)
vocab = {"a": 0, "b": 1, "ab": 2}
assert isinstance(WordLevel(vocab), Model)
assert isinstance(WordLevel(vocab), WordLevel)
assert isinstance(WordLevel.from_file(roberta_files["vocab"]), WordLevel)
# The WordLevel model expects a vocab.json using the same format as roberta
# so we can just try to load with this file
with pytest.deprecated_call():
assert isinstance(WordLevel(roberta_files["vocab"]), Model)
with pytest.deprecated_call():
assert isinstance(WordLevel(roberta_files["vocab"]), WordLevel)
def test_can_modify(self):
model = WordLevel(unk_token="<oov>")
assert model.unk_token == "<oov>"
# Modify these
model.unk_token = "<unk>"
assert model.unk_token == "<unk>"
| 0
|
hf_public_repos/tokenizers/bindings/python/tests
|
hf_public_repos/tokenizers/bindings/python/tests/bindings/test_trainers.py
|
import copy
import os
import pickle
import pytest
from tokenizers import (
AddedToken,
SentencePieceUnigramTokenizer,
Tokenizer,
models,
normalizers,
pre_tokenizers,
trainers,
)
from ..utils import data_dir, train_files
class TestBpeTrainer:
def test_can_modify(self):
trainer = trainers.BpeTrainer(
vocab_size=12345,
min_frequency=12,
show_progress=False,
special_tokens=["1", "2"],
limit_alphabet=13,
initial_alphabet=["a", "b", "c"],
continuing_subword_prefix="pref",
end_of_word_suffix="suf",
)
assert trainer.vocab_size == 12345
assert trainer.min_frequency == 12
assert trainer.show_progress == False
assert trainer.special_tokens == [
AddedToken("1", special=True),
AddedToken("2", special=True),
]
assert trainer.limit_alphabet == 13
assert sorted(trainer.initial_alphabet) == ["a", "b", "c"]
assert trainer.continuing_subword_prefix == "pref"
assert trainer.end_of_word_suffix == "suf"
# Modify these
trainer.vocab_size = 20000
assert trainer.vocab_size == 20000
trainer.min_frequency = 1
assert trainer.min_frequency == 1
trainer.show_progress = True
assert trainer.show_progress == True
trainer.special_tokens = []
assert trainer.special_tokens == []
trainer.limit_alphabet = None
assert trainer.limit_alphabet == None
trainer.initial_alphabet = ["d", "z"]
assert sorted(trainer.initial_alphabet) == ["d", "z"]
trainer.continuing_subword_prefix = None
assert trainer.continuing_subword_prefix == None
trainer.end_of_word_suffix = None
assert trainer.continuing_subword_prefix == None
def test_can_pickle(self):
assert (
trainers.BpeTrainer(min_frequency=12).__getstate__()
== b"""{"BpeTrainer":{"min_frequency":12,"vocab_size":30000,"show_progress":true,"special_tokens":[],"limit_alphabet":null,"initial_alphabet":[],"continuing_subword_prefix":null,"end_of_word_suffix":null,"max_token_length":null,"words":{}}}"""
)
assert isinstance(pickle.loads(pickle.dumps(trainers.BpeTrainer(min_frequency=12))), trainers.BpeTrainer)
assert isinstance(copy.deepcopy(trainers.BpeTrainer(min_frequency=12)), trainers.BpeTrainer)
# Make sure everything is correct
assert pickle.dumps(pickle.loads(pickle.dumps(trainers.BpeTrainer(min_frequency=12)))) == pickle.dumps(
trainers.BpeTrainer(min_frequency=12)
)
class TestWordPieceTrainer:
def test_can_modify(self):
trainer = trainers.WordPieceTrainer(
vocab_size=12345,
min_frequency=12,
show_progress=False,
special_tokens=["1", "2"],
limit_alphabet=13,
initial_alphabet=["a", "b", "c"],
continuing_subword_prefix="pref",
end_of_word_suffix="suf",
)
assert trainer.vocab_size == 12345
assert trainer.min_frequency == 12
assert trainer.show_progress == False
assert trainer.special_tokens == [
AddedToken("1", special=True),
AddedToken("2", special=True),
]
assert trainer.limit_alphabet == 13
assert sorted(trainer.initial_alphabet) == ["a", "b", "c"]
assert trainer.continuing_subword_prefix == "pref"
assert trainer.end_of_word_suffix == "suf"
# Modify these
trainer.vocab_size = 20000
assert trainer.vocab_size == 20000
trainer.min_frequency = 1
assert trainer.min_frequency == 1
trainer.show_progress = True
assert trainer.show_progress == True
trainer.special_tokens = []
assert trainer.special_tokens == []
trainer.limit_alphabet = None
assert trainer.limit_alphabet == None
trainer.initial_alphabet = ["d", "z"]
assert sorted(trainer.initial_alphabet) == ["d", "z"]
trainer.continuing_subword_prefix = None
assert trainer.continuing_subword_prefix == None
trainer.end_of_word_suffix = None
assert trainer.continuing_subword_prefix == None
def test_can_pickle(self):
assert isinstance(pickle.loads(pickle.dumps(trainers.WordPieceTrainer())), trainers.WordPieceTrainer)
class TestWordLevelTrainer:
def test_can_modify(self):
trainer = trainers.WordLevelTrainer(
vocab_size=12345, min_frequency=12, show_progress=False, special_tokens=["1", "2"]
)
assert trainer.vocab_size == 12345
assert trainer.min_frequency == 12
assert trainer.show_progress == False
assert trainer.special_tokens == [
AddedToken("1", special=True),
AddedToken("2", special=True),
]
# Modify these
trainer.vocab_size = 20000
assert trainer.vocab_size == 20000
trainer.min_frequency = 1
assert trainer.min_frequency == 1
trainer.show_progress = True
assert trainer.show_progress == True
trainer.special_tokens = []
assert trainer.special_tokens == []
def test_can_pickle(self):
assert isinstance(pickle.loads(pickle.dumps(trainers.WordLevelTrainer())), trainers.WordLevelTrainer)
class TestUnigram:
def test_train(self, train_files):
tokenizer = SentencePieceUnigramTokenizer()
tokenizer.train(train_files["small"], show_progress=False)
filename = "tests/data/unigram_trained.json"
tokenizer.save(filename)
os.remove(filename)
def test_train_parallelism_with_custom_pretokenizer(self, train_files):
class GoodCustomPretok:
def split(self, n, normalized):
# Here we just test that we can return a List[NormalizedString], it
# does not really make sense to return twice the same otherwise
return [normalized, normalized]
def pre_tokenize(self, pretok):
pretok.split(self.split)
custom = pre_tokenizers.PreTokenizer.custom(GoodCustomPretok())
bpe_tokenizer = Tokenizer(models.BPE())
bpe_tokenizer.normalizer = normalizers.Lowercase()
bpe_tokenizer.pre_tokenizer = custom
if "TOKENIZERS_PARALLELISM" in os.environ:
del os.environ["TOKENIZERS_PARALLELISM"]
trainer = trainers.BpeTrainer(special_tokens=["<unk>"], show_progress=False)
bpe_tokenizer.train([train_files["small"]], trainer=trainer)
def test_can_pickle(self):
assert isinstance(pickle.loads(pickle.dumps(trainers.UnigramTrainer())), trainers.UnigramTrainer)
def test_train_with_special_tokens(self):
filename = "tests/data/dummy-unigram-special_tokens-train.txt"
with open(filename, "w") as f:
f.write(
"""
[CLS] The Zen of Python, by Tim Peters [SEP]
[CLS] Beautiful is better than ugly. [SEP]
[CLS] Explicit is better than implicit. [SEP]
[CLS] Simple is better than complex. [SEP]
[CLS] Complex is better than complicated. [SEP]
[CLS] Flat is better than nested. [SEP]
[CLS] Sparse is better than dense. [SEP]
[CLS] Readability counts. [SEP]
[CLS] Special cases aren't special enough to break the rules. [SEP]
[CLS] Although practicality beats purity. [SEP]
[CLS] Errors should never pass silently. [SEP]
[CLS] Unless explicitly silenced. [SEP]
[CLS] In the face of ambiguity, refuse the temptation to guess. [SEP]
[CLS] There should be one-- and preferably only one --obvious way to do it. [SEP]
[CLS] Although that way may not be obvious at first unless you're Dutch. [SEP]
[CLS] Now is better than never. [SEP]
[CLS] Although never is often better than *right* now. [SEP]
[CLS] If the implementation is hard to explain, it's a bad idea. [SEP]
[CLS] If the implementation is easy to explain, it may be a good idea. [SEP]
[CLS] Namespaces are one honking great idea -- let's do more of those! [SEP]
"""
)
tokenizer = Tokenizer(models.Unigram())
trainer = trainers.UnigramTrainer(
show_progress=False, special_tokens=["[PAD]", "[SEP]", "[CLS]"], unk_token="[UNK]"
)
tokenizer.train([filename], trainer=trainer)
assert tokenizer.encode("[CLS] This is a test [SEP]").tokens == [
"[CLS]",
" T",
"h",
"i",
"s",
" is ",
"a",
" ",
"te",
"s",
"t ",
"[SEP]",
]
tokenizer = Tokenizer(models.Unigram())
trainer = trainers.UnigramTrainer(
show_progress=False,
special_tokens=["[PAD]", "[SEP]", "[CLS]"],
unk_token="[UNK]",
vocab_size=100,
)
tokenizer.train([filename], trainer=trainer)
assert tokenizer.get_vocab_size() == 100
tokenizer = Tokenizer(models.Unigram())
trainer = trainers.UnigramTrainer(
show_progress=False,
special_tokens=["[PAD]", "[SEP]", "[CLS]", "[UNK]"],
unk_token="[UNK]",
vocab_size=100,
)
tokenizer.train([filename], trainer=trainer)
assert tokenizer.get_vocab_size() == 100
def test_cannot_train_different_model(self):
tokenizer = Tokenizer(models.BPE())
trainer = trainers.UnigramTrainer(show_progress=False)
with pytest.raises(Exception, match="UnigramTrainer can only train a Unigram"):
tokenizer.train([], trainer)
def test_can_modify(self):
trainer = trainers.UnigramTrainer(
vocab_size=12345,
show_progress=False,
special_tokens=["1", AddedToken("2", lstrip=True)],
initial_alphabet=["a", "b", "c"],
)
assert trainer.vocab_size == 12345
assert trainer.show_progress == False
assert trainer.special_tokens == [
AddedToken("1", normalized=False, special=True),
AddedToken("2", lstrip=True, normalized=False, special=True),
]
assert sorted(trainer.initial_alphabet) == ["a", "b", "c"]
# Modify these
trainer.vocab_size = 20000
assert trainer.vocab_size == 20000
trainer.show_progress = True
assert trainer.show_progress == True
trainer.special_tokens = []
assert trainer.special_tokens == []
trainer.initial_alphabet = ["d", "z"]
assert sorted(trainer.initial_alphabet) == ["d", "z"]
def test_continuing_prefix_trainer_mistmatch(self):
UNK = "[UNK]"
special_tokens = [UNK]
tokenizer = Tokenizer(models.BPE(unk_token=UNK, continuing_subword_prefix="##"))
trainer = trainers.BpeTrainer(special_tokens=special_tokens)
tokenizer.pre_tokenizer = pre_tokenizers.Sequence(
[pre_tokenizers.Whitespace(), pre_tokenizers.Digits(individual_digits=True)]
)
tokenizer.train(files=["data/big.txt"], trainer=trainer)
tokenizer.save("data/tokenizer.json")
tokenizer.from_file("data/tokenizer.json")
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|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/.cargo/config.toml
|
[target.x86_64-apple-darwin]
rustflags = [
"-C", "link-arg=-undefined",
"-C", "link-arg=dynamic_lookup",
"-C", "link-arg=-mmacosx-version-min=10.11",
]
[target.aarch64-apple-darwin]
rustflags = [
"-C", "link-arg=-undefined",
"-C", "link-arg=dynamic_lookup",
"-C", "link-arg=-mmacosx-version-min=10.11",
]
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|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/examples/train_with_datasets.py
|
import datasets
from tokenizers import Tokenizer, models, normalizers, pre_tokenizers, trainers
# Build a tokenizer
bpe_tokenizer = Tokenizer(models.BPE())
bpe_tokenizer.pre_tokenizer = pre_tokenizers.Whitespace()
bpe_tokenizer.normalizer = normalizers.Lowercase()
# Initialize a dataset
dataset = datasets.load_dataset("wikitext", "wikitext-103-raw-v1", split="train")
# Build an iterator over this dataset
def batch_iterator():
batch_size = 1000
for batch in dataset.iter(batch_size=batch_size):
yield batch["text"]
# And finally train
bpe_tokenizer.train_from_iterator(batch_iterator(), length=len(dataset))
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|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/examples/train_bert_wordpiece.py
|
import argparse
import glob
from tokenizers import BertWordPieceTokenizer
parser = argparse.ArgumentParser()
parser.add_argument(
"--files",
default=None,
metavar="path",
type=str,
required=True,
help="The files to use as training; accept '**/*.txt' type of patterns \
if enclosed in quotes",
)
parser.add_argument(
"--out",
default="./",
type=str,
help="Path to the output directory, where the files will be saved",
)
parser.add_argument("--name", default="bert-wordpiece", type=str, help="The name of the output vocab files")
args = parser.parse_args()
files = glob.glob(args.files)
if not files:
print(f"File does not exist: {args.files}")
exit(1)
# Initialize an empty tokenizer
tokenizer = BertWordPieceTokenizer(
clean_text=True,
handle_chinese_chars=True,
strip_accents=True,
lowercase=True,
)
# And then train
tokenizer.train(
files,
vocab_size=10000,
min_frequency=2,
show_progress=True,
special_tokens=["[PAD]", "[UNK]", "[CLS]", "[SEP]", "[MASK]"],
limit_alphabet=1000,
wordpieces_prefix="##",
)
# Save the files
tokenizer.save_model(args.out, args.name)
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|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/examples/train_bytelevel_bpe.py
|
import argparse
import glob
from os.path import join
from tokenizers import ByteLevelBPETokenizer
parser = argparse.ArgumentParser()
parser.add_argument(
"--files",
default=None,
metavar="path",
type=str,
required=True,
help="The files to use as training; accept '**/*.txt' type of patterns \
if enclosed in quotes",
)
parser.add_argument(
"--out",
default="./",
type=str,
help="Path to the output directory, where the files will be saved",
)
parser.add_argument("--name", default="bpe-bytelevel", type=str, help="The name of the output vocab files")
args = parser.parse_args()
files = glob.glob(args.files)
if not files:
print(f"File does not exist: {args.files}")
exit(1)
# Initialize an empty tokenizer
tokenizer = ByteLevelBPETokenizer(add_prefix_space=True)
# And then train
tokenizer.train(
files,
vocab_size=10000,
min_frequency=2,
show_progress=True,
special_tokens=["<s>", "<pad>", "</s>"],
)
# Save the files
tokenizer.save_model(args.out, args.name)
# Restoring model from learned vocab/merges
tokenizer = ByteLevelBPETokenizer(
join(args.out, "{}-vocab.json".format(args.name)),
join(args.out, "{}-merges.txt".format(args.name)),
add_prefix_space=True,
)
# Test encoding
print(tokenizer.encode("Training ByteLevel BPE is very easy").tokens)
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|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/examples/example.py
|
import argparse
import logging
import time
from tqdm import tqdm
logging.getLogger("transformers").disabled = True
logging.getLogger("transformers.tokenization_utils").disabled = True
from tokenizers import Tokenizer, decoders, pre_tokenizers
from tokenizers.models import BPE, WordPiece
from tokenizers.normalizers import BertNormalizer
from tokenizers.processors import BertProcessing
from transformers import BertTokenizer, GPT2Tokenizer
parser = argparse.ArgumentParser()
parser.add_argument("--type", default="gpt2", type=str, help="The type of tokenizer (bert|gpt2)")
parser.add_argument("--file", default=None, type=str, help="The file to encode")
parser.add_argument("--vocab", default=None, type=str, required=True, help="The vocab file")
parser.add_argument("--merges", default=None, type=str, help="The merges.txt file")
parser.add_argument("--debug", action="store_true", help="Verbose output")
args = parser.parse_args()
if args.type == "gpt2" and args.merges is None:
raise Exception("Expected merges.txt file")
if args.file is not None:
with open(args.file, "r") as fp:
text = [line.strip() for line in fp]
else:
text = """
The Zen of Python, by Tim Peters
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!
""".split(
"\n"
)
if args.type == "gpt2":
print("Running GPT-2 tokenizer")
tok_p = GPT2Tokenizer.from_pretrained("gpt2")
# Create a Tokenizer using BPE
tok_r = Tokenizer(BPE(args.vocab, args.merges))
# Use ByteLevel PreTokenizer
tok_r.pre_tokenizer = pre_tokenizers.ByteLevel(add_prefix_space=False)
# Use ByteLevel Decoder
tok_r.decoder = decoders.ByteLevel()
elif args.type == "bert":
print("Running Bert tokenizer")
tok_p = BertTokenizer.from_pretrained(args.vocab)
tok_r = Tokenizer(WordPiece(args.vocab, unk_token="[UNK]", max_input_chars_per_word=100))
tok_r.normalizer = BertNormalizer(
clean_text=True,
handle_chinese_chars=True,
strip_accents=True,
lowercase=True,
)
# tok_r.pre_tokenizer = pre_tokenizers.Whitespace()
tok_r.pre_tokenizer = pre_tokenizers.BertPreTokenizer()
tok_r.decoder = decoders.WordPiece()
tok_r.post_processor = BertProcessing(
("[SEP]", tok_r.token_to_id("[SEP]")),
("[CLS]", tok_r.token_to_id("[CLS]")),
)
else:
raise Exception(f"Unknown type {args.type}")
def tokenize_r():
return tok_r.encode_batch(text)
def tokenize_p():
return [tok_p.encode(sentence, add_special_tokens=True) for sentence in tqdm(text)]
print(f"Tokenizing {len(text)} lines")
# Rust version
start = time.time()
encoded_r = tokenize_r()
end = time.time()
time_r = end - start
print(f"Rust tokenizer took: {time_r} sec")
# Python version
start = time.time()
encoded_p = tokenize_p()
end = time.time()
time_p = end - start
print(f"Transformer tokenizer took: {time_p} sec")
print(f"SpeedUp Ratio: {time_p / time_r}")
ids_r = [sentence.ids for sentence in encoded_r]
diff_ids = 0
for i in range(0, len(encoded_r)):
if encoded_r[i].ids != encoded_p[i]:
diff_ids += 1
if args.debug:
print(encoded_r[i].ids)
print(encoded_p[i])
print(encoded_r[i].tokens)
print(tok_p.tokenize(text[i]))
print(text[i])
print("")
print(f"Ids differences: {diff_ids}")
decoded_r = tok_r.decode_batch([sentence.ids for sentence in encoded_r], False)
decoded_p = [tok_p.decode(en) for en in encoded_p]
diff_decoded = 0
for i in range(0, len(text)):
if decoded_r[i] != decoded_p[i]:
diff_decoded += 1
if args.debug:
print(f"Original: {text[i]}")
print(f"Rust: {decoded_r[i]}")
print(f"Python: {decoded_p[i]}")
print("")
print(f"Decoding differences: {diff_decoded}")
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|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/examples/using_the_visualizer.ipynb
|
from tokenizers import BertWordPieceTokenizer
from tokenizers.tools import EncodingVisualizer
EncodingVisualizer.unk_token_regex.search("aaa[udsnk]aaa")text = """Mathias Bynens 'Z͑ͫ̓ͪ̂ͫ̽͏̴̙̤̞͉͚̯̞̠͍A̴̵̜̰͔ͫ͗͢L̠ͨͧͩ͘G̴̻͈͍͔̹̑͗̎̅͛́Ǫ̵̹̻̝̳͂̌̌͘!͖̬̰̙̗̿̋ͥͥ̂ͣ̐́́͜͞': Whenever you’re working on a piece of JavaScript code that deals with strings or regular expressions in some way, just add a unit test that contains a pile of poo (💩) in a string, 💩💩💩💩💩💩💩💩💩💩💩💩 and see if anything breaks. It’s a quick, fun, and easy way to see if your code supports astral symbols. Once you’ve found a Unicode-related bug in your code, all you need to do is apply the techniques discussed in this post to fix it."""tokenizer = BertWordPieceTokenizer("/tmp/bert-base-uncased-vocab.txt", lowercase=True)
visualizer = EncodingVisualizer(tokenizer=tokenizer)visualizer(text)from tokenizers.tools import Annotationanno1 = Annotation(start=0, end=2, label="foo")
anno2 = Annotation(start=2, end=4, label="bar")
anno3 = Annotation(start=6, end=8, label="poo")
anno4 = Annotation(start=9, end=12, label="shoe")
annotations=[
anno1,
anno2,
anno3,
anno4,
Annotation(start=23, end=30, label="random tandem bandem sandem landem fandom"),
Annotation(start=63, end=70, label="foo"),
Annotation(start=80, end=95, label="bar"),
Annotation(start=120, end=128, label="bar"),
Annotation(start=152, end=155, label="poo"),
]
visualizer(text,annotations=annotations)funnyAnnotations = [dict(startPlace=i,endPlace=i+3,theTag=str(i)) for i in range(0,20,4)]
funnyAnnotationsconverter = lambda funny: Annotation(start=funny['startPlace'], end=funny['endPlace'], label=funny['theTag'])
visualizer = EncodingVisualizer(tokenizer=tokenizer, default_to_notebook=True, annotation_converter=converter)visualizer(text, annotations=funnyAnnotations)from tokenizers import ByteLevelBPETokenizer
roberta_tokenizer = ByteLevelBPETokenizer.from_file('/tmp/roberta-base-vocab.json', '/tmp/roberta-base-merges.txt')
roberta_visualizer = EncodingVisualizer(tokenizer=roberta_tokenizer, default_to_notebook=True)
roberta_visualizer(text, annotations=annotations)
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|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/examples/custom_components.py
|
from typing import List
import jieba
from tokenizers import NormalizedString, PreTokenizedString, Regex, Tokenizer
from tokenizers.decoders import Decoder
from tokenizers.models import BPE
from tokenizers.normalizers import Normalizer
from tokenizers.pre_tokenizers import PreTokenizer
class JiebaPreTokenizer:
def jieba_split(self, i: int, normalized_string: NormalizedString) -> List[NormalizedString]:
splits = []
# we need to call `str(normalized_string)` because jieba expects a str,
# not a NormalizedString
for token, start, stop in jieba.tokenize(str(normalized_string)):
splits.append(normalized_string[start:stop])
return splits
# We can also easily do it in one line:
# return [normalized_string[w[1] : w[2]] for w in jieba.tokenize(str(normalized_string))]
def odd_number_split(self, i: int, normalized_string: NormalizedString) -> List[NormalizedString]:
# Just an odd example...
splits = []
last = 0
for i, char in enumerate(str(normalized_string)):
if char.isnumeric() and int(char) % 2 == 1:
splits.append(normalized_string[last:i])
last = i
# Don't forget the last one
splits.append(normalized_string[last:])
return splits
def pre_tokenize(self, pretok: PreTokenizedString):
# Let's call split on the PreTokenizedString to split using `self.jieba_split`
pretok.split(self.jieba_split)
# Here we can call `pretok.split` multiple times if we want to apply
# different algorithm, but we generally just need to call it once.
pretok.split(self.odd_number_split)
class CustomDecoder:
def decode(self, tokens: List[str]) -> str:
return "".join(tokens)
class CustomNormalizer:
def normalize(self, normalized: NormalizedString):
# Most of these can be replaced by a `Sequence` combining some provided Normalizer,
# (ie Sequence([ NFKC(), Replace(Regex("\s+"), " "), Lowercase() ])
# and it should be the prefered way. That being said, here is an example of the kind
# of things that can be done here:
normalized.nfkc()
normalized.filter(lambda char: not char.isnumeric())
normalized.replace(Regex("\s+"), " ")
normalized.lowercase()
# This section shows how to attach these custom components to the Tokenizer
tok = Tokenizer(BPE())
tok.normalizer = Normalizer.custom(CustomNormalizer())
tok.pre_tokenizer = PreTokenizer.custom(JiebaPreTokenizer())
tok.decoder = Decoder.custom(CustomDecoder())
input = "永和服装饰品有限公司"
print("PreTokenize:", input)
print(tok.pre_tokenizer.pre_tokenize_str(input))
# [('永和', (0, 2)), ('服装', (2, 4)), ('饰品', (4, 6)), ('有限公司', (6, 10))]
input = "112233"
print("PreTokenize:", input)
print(tok.pre_tokenizer.pre_tokenize_str(input))
# [('1', (0, 1)), ('122', (1, 4)), ('3', (4, 5)), ('3', (5, 6))]
input = "1234 ℌ𝔢𝔩𝔩𝔬 𝔱𝔥𝔢𝔯𝔢 𝓂𝓎 𝒹ℯ𝒶𝓇 𝕕𝕖𝕒𝕣 𝕗𝕣𝕚𝕖𝕟𝕕!"
print("Normalize:", input)
print(tok.normalizer.normalize_str(input))
# " hello there my dear dear friend!"
| 0
|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/scripts/spm_parity_check.py
|
import tokenizers
from argparse import ArgumentParser
import sentencepiece as spm
from collections import Counter
import json
import os
import datetime
try:
from termcolor import colored
has_color = True
except Exception:
has_color = False
def main():
parser = ArgumentParser("SentencePiece parity checker")
parser.add_argument(
"--input-file",
"-i",
type=str,
required=True,
help="Which files do you want to train from",
)
parser.add_argument(
"--model-file",
"-m",
type=str,
required=False,
default=None,
help="Use a pretrained token file",
)
parser.add_argument(
"--model-prefix",
type=str,
default="spm_parity",
help="Model prefix for spm_train",
)
parser.add_argument(
"--vocab-size",
"-v",
type=int,
default=8000,
help="Vocab size for spm_train",
)
parser.add_argument(
"--verbose",
action="store_true",
help="Verbosity",
)
parser.add_argument(
"--train",
action="store_true",
help="Instead of checking the encoder part, we check the trainer part",
)
parser.add_argument(
"--from-spm",
action="store_true",
help="Directly load the spm file with it's own normalizer",
)
args = parser.parse_args()
trained = False
if args.model_file is None:
spm.SentencePieceTrainer.Train(
f"--input={args.input_file} --model_prefix={args.model_prefix}"
f" --character_coverage=1.0"
f" --max_sentence_length=40000"
f" --num_threads=1"
f" --vocab_size={args.vocab_size}"
)
trained = True
args.model_file = f"{args.model_prefix}.model"
try:
if args.train:
check_train(args)
else:
check_encode(args)
finally:
if trained:
os.remove(f"{args.model_prefix}.model")
os.remove(f"{args.model_prefix}.vocab")
def check_train(args):
sp = spm.SentencePieceProcessor()
sp.Load(args.model_file)
tokenizer = tokenizers.SentencePieceUnigramTokenizer()
tokenizer.train(args.input_file, show_progress=False)
spm_tokens = 0
tokenizer_tokens = 0
with open(args.input_file, "r") as f:
for i, line in enumerate(f):
line = line.strip()
ids = sp.EncodeAsIds(line)
encoded = tokenizer.encode(line)
spm_tokens += len(ids)
tokenizer_tokens += len(encoded.ids)
vocab = [0 for i in range(args.vocab_size)]
spm_vocab = [0 for i in range(args.vocab_size)]
for token, index in tokenizer.get_vocab().items():
vocab[index] = token
for i in range(args.vocab_size):
spm_vocab[i] = sp.id_to_piece(i)
# 0 is unk in tokenizers, 0, 1, 2 are unk bos, eos in spm by default.
for i, (token, spm_token) in enumerate(zip(vocab[1:], spm_vocab[3:])):
if token != spm_token:
print(f"First different token is token {i} ({token} != {spm_token})")
break
print(f"Tokenizer used {tokenizer_tokens}, where spm used {spm_tokens}")
assert (
tokenizer_tokens < spm_tokens
), "Our trainer should be at least more efficient than the SPM one"
print("Ok our trainer is at least more efficient than the SPM one")
def check_diff(spm_diff, tok_diff, sp, tok):
if spm_diff == list(reversed(tok_diff)):
# AAA -> AA+A vs A+AA case.
return True
elif len(spm_diff) == len(tok_diff) and tok.decode(spm_diff) == tok.decode(
tok_diff
):
# Second order OK
# Barrich -> Barr + ich vs Bar + rich
return True
spm_reencoded = sp.encode(sp.decode(spm_diff))
tok_reencoded = tok.encode(tok.decode(spm_diff)).ids
if spm_reencoded != spm_diff and spm_reencoded == tok_reencoded:
# Type 3 error.
# Snehagatha ->
# Sne, h, aga, th, a
# Sne, ha, gat, ha
# Encoding the wrong with sp does not even recover what spm gave us
# It fits tokenizer however...
return True
return False
def check_details(line, spm_ids, tok_ids, sp, tok):
# Encoding can be the same with same result AAA -> A + AA vs AA + A
# We can check that we use at least exactly the same number of tokens.
for i, (spm_id, tok_id) in enumerate(zip(spm_ids, tok_ids)):
if spm_id != tok_id:
break
first = i
for i, (spm_id, tok_id) in enumerate(zip(reversed(spm_ids), reversed(tok_ids))):
if spm_id != tok_id:
break
last = len(spm_ids) - i
spm_diff = spm_ids[first:last]
tok_diff = tok_ids[first:last]
if check_diff(spm_diff, tok_diff, sp, tok):
return True
if last - first > 5:
# We might have twice a single problem, attempt to subdivide the disjointed tokens into smaller problems
spms = Counter(spm_ids[first:last])
toks = Counter(tok_ids[first:last])
removable_tokens = {
spm_ for (spm_, si) in spms.items() if toks.get(spm_, 0) == si
}
min_width = 3
for i in range(last - first - min_width):
if all(
spm_ids[first + i + j] in removable_tokens for j in range(min_width)
):
possible_matches = [
k
for k in range(last - first - min_width)
if tok_ids[first + k : first + k + min_width]
== spm_ids[first + i : first + i + min_width]
]
for j in possible_matches:
if check_diff(
spm_ids[first : first + i], tok_ids[first : first + j], sp, tok
) and check_details(
line,
spm_ids[first + i : last],
tok_ids[first + j : last],
sp,
tok,
):
return True
print(f"Spm: {[tok.decode([spm_ids[i]]) for i in range(first, last)]}")
try:
print(f"Tok: {[tok.decode([tok_ids[i]]) for i in range(first, last)]}")
except Exception:
pass
ok_start = tok.decode(spm_ids[:first])
ok_end = tok.decode(spm_ids[last:])
wrong = tok.decode(spm_ids[first:last])
print()
if has_color:
print(
f"{colored(ok_start, 'grey')}{colored(wrong, 'red')}{colored(ok_end, 'grey')}"
)
else:
print(wrong)
return False
def check_encode(args):
sp = spm.SentencePieceProcessor()
sp.Load(args.model_file)
if args.from_spm:
tok = tokenizers.SentencePieceUnigramTokenizer.from_spm(args.model_file)
else:
vocab = [(sp.id_to_piece(i), sp.get_score(i)) for i in range(sp.piece_size())]
unk_id = sp.unk_id()
tok = tokenizers.SentencePieceUnigramTokenizer(vocab, unk_id)
perfect = 0
imperfect = 0
wrong = 0
now = datetime.datetime.now
spm_total_time = datetime.timedelta(seconds=0)
tok_total_time = datetime.timedelta(seconds=0)
with open(args.input_file, "r", encoding="utf-8-sig") as f:
for i, line in enumerate(f):
line = line.strip()
start = now()
ids = sp.EncodeAsIds(line)
spm_time = now()
encoded = tok.encode(line)
tok_time = now()
spm_total_time += spm_time - start
tok_total_time += tok_time - spm_time
if args.verbose:
if i % 10000 == 0:
print(
f"({perfect} / {imperfect} / {wrong} ----- {perfect + imperfect + wrong})"
)
print(f"SPM: {spm_total_time} - TOK: {tok_total_time}")
if ids != encoded.ids:
if check_details(line, ids, encoded.ids, sp, tok):
imperfect += 1
continue
else:
wrong += 1
else:
perfect += 1
assert ids == encoded.ids, f"line {i}: {line} : \n\n{ids}\n{encoded.ids}\n{list(zip(encoded.ids, encoded.tokens))}"
print(f"({perfect} / {imperfect} / {wrong} ----- {perfect + imperfect + wrong})")
total = perfect + imperfect + wrong
print(
f"Accuracy {perfect * 100 / total:.2f} Slowdown : {tok_total_time/ spm_total_time:.2f}"
)
if __name__ == "__main__":
main()
| 0
|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/scripts/convert.py
|
import transformers
from tokenizers.implementations import SentencePieceUnigramTokenizer, BaseTokenizer
from tokenizers.processors import TemplateProcessing
from tokenizers.models import Unigram, BPE
from tokenizers import decoders
from tokenizers import Tokenizer, Regex
from tokenizers.normalizers import (
StripAccents,
NFKD,
Lowercase,
Sequence,
BertNormalizer,
Precompiled,
Replace,
)
from tokenizers.pre_tokenizers import (
Digits,
WhitespaceSplit,
Metaspace,
Sequence as PSequence,
)
import json
import unicodedata
import sys
import os
import datetime
import argparse
sys.path.append(".")
from spm_parity_check import check_details
from sentencepiece_extractor import SentencePieceExtractor
def check_number_comma(piece: str) -> bool:
return len(piece) < 2 or piece[-1] != "," or not piece[-2].isdigit()
def get_proto(filename: str):
try:
import sys
sys.path.append(".")
import sentencepiece_model_pb2 as model
except Exception:
raise Exception(
"You don't seem to have the required protobuf file, in order to use this function you need to run `pip install protobuf` and `wget https://raw.githubusercontent.com/google/sentencepiece/master/python/sentencepiece_model_pb2.py` for us to be able to read the intrinsics of your spm_file. `pip install sentencepiece` is not required."
)
m = model.ModelProto()
m.ParseFromString(open(filename, "rb").read())
return m
class Converter:
def __init__(self, original_tokenizer):
self.original_tokenizer = original_tokenizer
def converted(self) -> Tokenizer:
raise NotImplementedError()
class SpmConverter(Converter):
def __init__(self, *args):
super().__init__(*args)
self.proto = get_proto(self.original_tokenizer.vocab_file)
def vocab(self, proto):
return [(piece.piece, piece.score) for piece in proto.pieces]
def unk_id(self, proto):
return proto.trainer_spec.unk_id
def tokenizer(self, proto):
model_type = proto.trainer_spec.model_type
vocab = self.vocab(proto)
unk_id = self.unk_id(proto)
if model_type == 1:
tokenizer = Tokenizer(Unigram(vocab, unk_id))
elif model_type == 2:
vocab, merges = SentencePieceExtractor(self.original_tokenizer.vocab_file).extract()
tokenizer = Tokenizer(
BPE(vocab, merges, unk_token=proto.trainer_spec.unk_piece, fuse_unk=True)
)
else:
raise Exception(
"You're trying to run a `Unigram` model but you're file was trained with a different algorithm"
)
return tokenizer
def normalizer(self, proto):
precompiled_charsmap = proto.normalizer_spec.precompiled_charsmap
return Sequence([Precompiled(precompiled_charsmap), Replace(Regex(" {2,}"), " ")])
def post_processor(self, tokenizer):
return None
def converted(self):
tokenizer = self.tokenizer(self.proto)
# Tokenizer assemble
tokenizer.normalizer = self.normalizer(self.proto)
replacement = "▁"
add_prefix_space = True
tokenizer.pre_tokenizer = Metaspace(
replacement=replacement, add_prefix_space=add_prefix_space
)
tokenizer.decoder = decoders.Metaspace(
replacement=replacement, add_prefix_space=add_prefix_space
)
post_processor = self.post_processor(tokenizer)
if post_processor:
tokenizer.post_processor = post_processor
# TODO what parameters should we give ?
parameters = {}
return BaseTokenizer(tokenizer, parameters)
class AlbertConverter(SpmConverter):
def vocab(self, proto):
return [
(piece.piece, piece.score)
if check_number_comma(piece.piece)
else (piece.piece, piece.score - 100)
for piece in proto.pieces
]
def normalizer(self, proto):
normalizers = [Replace("``", '"'), Replace("''", '"')]
if not self.original_tokenizer.keep_accents:
normalizers.append(NFKD())
normalizers.append(StripAccents())
if self.original_tokenizer.do_lower_case:
normalizers.append(Lowercase())
precompiled_charsmap = proto.normalizer_spec.precompiled_charsmap
normalizers.append(Precompiled(precompiled_charsmap))
normalizers.append(Replace(Regex(" {2,}"), " "))
return Sequence(normalizers)
def post_processor(self, tokenizer):
return TemplateProcessing(
seq_a=["[CLS]", "$0", "[SEP]"],
seq_b=["$1", "[SEP]"],
special_tokens=[
("[CLS]", tokenizer.get_vocab()["[CLS]"]),
("[SEP]", tokenizer.get_vocab()["[SEP]"]),
],
)
class CamembertConverter(SpmConverter):
def vocab(self, proto):
vocab = [
("<s>NOTUSED", 0.0),
("<pad>", 0.0),
("</s>NOTUSED", 0.0),
("<unk>", 0.0),
]
vocab += [(piece.piece, piece.score) for piece in proto.pieces]
return vocab
def unk_id(self, proto):
# See vocab unk position
return 3
def post_processor(self, tokenizer):
return TemplateProcessing(
seq_a=["<s>", "$0", "</s>"],
seq_b=["$1", "</s>"],
special_tokens=[
("<s>", tokenizer.get_vocab()["<s>"]),
("</s>", tokenizer.get_vocab()["</s>"]),
],
)
class MBartConverter(SpmConverter):
def vocab(self, proto):
vocab = [
("<s>", 0.0),
("<pad>", 0.0),
("</s>", 0.0),
("<unk>", 0.0),
]
vocab += [(piece.piece, piece.score) for piece in proto.pieces[3:]]
vocab += [
("ar_AR", 0.0),
("cs_CZ", 0.0),
("de_DE", 0.0),
("en_XX", 0.0),
("es_XX", 0.0),
("et_EE", 0.0),
("fi_FI", 0.0),
("fr_XX", 0.0),
("gu_IN", 0.0),
("hi_IN", 0.0),
("it_IT", 0.0),
("ja_XX", 0.0),
("kk_KZ", 0.0),
("ko_KR", 0.0),
("lt_LT", 0.0),
("lv_LV", 0.0),
("my_MM", 0.0),
("ne_NP", 0.0),
("nl_XX", 0.0),
("ro_RO", 0.0),
("ru_RU", 0.0),
("si_LK", 0.0),
("tr_TR", 0.0),
("vi_VN", 0.0),
("zh_CN", 0.0),
]
return vocab
def unk_id(self, proto):
return 3
def post_processor(self, tokenizer):
return TemplateProcessing(
seq_a=["$0", "</s>", "en_XX"],
seq_b=["$1", "</s>"],
special_tokens=[
("en_XX", tokenizer.get_vocab()["en_XX"]),
("</s>", tokenizer.get_vocab()["</s>"]),
],
)
class XLMRobertaConverter(SpmConverter):
def vocab(self, proto):
vocab = [
("<s>", 0.0),
("<pad>", 0.0),
("</s>", 0.0),
("<unk>", 0.0),
]
vocab += [(piece.piece, piece.score) for piece in proto.pieces[3:]]
return vocab
def unk_id(self, proto):
unk_id = 3
return unk_id
def post_processor(self, tokenizer):
return TemplateProcessing(
seq_a=["<s>", "$0", "</s>"],
seq_b=["$1", "</s>"],
special_tokens=[
("<s>", tokenizer.get_vocab()["<s>"]),
("</s>", tokenizer.get_vocab()["</s>"]),
],
)
class XLNetConverter(SpmConverter):
def vocab(self, proto):
return [
(piece.piece, piece.score)
if check_number_comma(piece.piece)
else (piece.piece, piece.score - 100)
for piece in proto.pieces
]
def normalizer(self, proto):
normalizers = [Replace("``", '"'), Replace("''", '"')]
if not self.original_tokenizer.keep_accents:
normalizers.append(NFKD())
normalizers.append(StripAccents())
if self.original_tokenizer.do_lower_case:
normalizers.append(Lowercase())
precompiled_charsmap = proto.normalizer_spec.precompiled_charsmap
normalizers.append(Precompiled(precompiled_charsmap))
normalizers.append(Replace(Regex(" {2,}"), " "))
return Sequence(normalizers)
def post_processor(self, tokenizer):
return TemplateProcessing(
seq_a=["$0", "<sep>", "<cls>"],
seq_b=["$1", "<sep>"],
special_tokens=[
("<sep>", tokenizer.get_vocab()["<sep>"]),
("<cls>", tokenizer.get_vocab()["<cls>"]),
],
)
class ReformerConverter(SpmConverter):
pass
class PegasusConverter(SpmConverter):
offset = 103
def vocab(self, proto):
vocab = [
(self.original_tokenizer.pad_token, 0),
(self.original_tokenizer.eos_token, 0),
]
vocab += [(f"unk_{i}", -100) for i in range(2, 2 + self.offset)]
vocab += [(piece.piece, piece.score) for piece in proto.pieces[2:]]
return vocab
def unk_id(self, proto):
return proto.trainer_spec.unk_id + self.offset
def post_processor(self, tokenizer):
eos = self.original_tokenizer.eos_token
return TemplateProcessing(
seq_a=["$0", eos],
seq_b=["$1", eos],
special_tokens=[(eos, tokenizer.get_vocab()[eos])],
)
class T5Converter(SpmConverter):
def post_processor(self, tokenizer):
return TemplateProcessing(
seq_a=["$0", "</s>"],
seq_b=["$1", "</s>"],
special_tokens=[("</s>", tokenizer.get_vocab()["</s>"])],
)
CONVERTERS = {
"AlbertTokenizer": AlbertConverter,
"CamembertTokenizer": CamembertConverter,
"XLMRobertaTokenizer": XLMRobertaConverter,
"MBartTokenizer": MBartConverter,
"XLNetTokenizer": XLNetConverter,
"ReformerTokenizer": ReformerConverter,
"PegasusTokenizer": PegasusConverter,
"T5Tokenizer": T5Converter,
}
def check(pretrained, filename):
transformer_tokenizer = transformers.AutoTokenizer.from_pretrained(pretrained)
converter_class = CONVERTERS[transformer_tokenizer.__class__.__name__]
tokenizer = converter_class(transformer_tokenizer).converted()
now = datetime.datetime.now
trans_total_time = datetime.timedelta(seconds=0)
tok_total_time = datetime.timedelta(seconds=0)
with open(filename, "r") as f:
for i, line in enumerate(f):
line = line.strip()
start = now()
ids = transformer_tokenizer.encode(line)
trans = now()
tok_ids = tokenizer.encode(line).ids
tok = now()
trans_total_time += trans - start
tok_total_time += tok - trans
if ids != tok_ids:
if check_details(line, ids, tok_ids, transformer_tokenizer, tokenizer):
continue
assert ids == tok_ids, f"Error in line {i}: {line} {ids} != {tok_ids}"
tokenizer.save(f"{pretrained.replace('/', '-')}.json")
return ("OK", trans_total_time / tok_total_time)
def main():
pretraineds = [
"albert-base-v1",
"albert-large-v1",
"albert-xlarge-v1",
"albert-xxlarge-v1",
"albert-base-v2",
"albert-large-v2",
"albert-xlarge-v2",
"albert-xxlarge-v2",
"camembert-base",
"xlm-roberta-base",
"xlm-roberta-large",
"xlm-roberta-large-finetuned-conll02-dutch",
"xlm-roberta-large-finetuned-conll02-spanish",
"xlm-roberta-large-finetuned-conll03-english",
"xlm-roberta-large-finetuned-conll03-german",
"facebook/mbart-large-en-ro",
"facebook/mbart-large-cc25",
"xlnet-base-cased",
"xlnet-large-cased",
"google/reformer-crime-and-punishment",
"t5-small",
"google/pegasus-large",
]
parser = argparse.ArgumentParser()
parser.add_argument(
"--filename",
required=True,
type=str,
help="The filename that we are going to encode in both versions to check that conversion worked",
)
parser.add_argument(
"--models",
type=lambda s: s.split(","),
default=pretraineds,
help=f"The pretrained tokenizers you want to test agains, (default: {pretraineds})",
)
args = parser.parse_args()
print(args.filename)
model_len = 50
status_len = 6
speedup_len = 8
print(f"|{'Model':^{model_len}}|{'Status':^{status_len}}|{'Speedup':^{speedup_len}}|")
print(f"|{'-'*model_len}|{'-'*status_len}|{'-'*speedup_len}|")
for pretrained in args.models:
status, speedup = check(pretrained, args.filename)
print(
f"|{pretrained:<{model_len}}|{status:^{status_len}}|{speedup:^{speedup_len - 1}.2f}x|"
)
if __name__ == "__main__":
main()
| 0
|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/scripts/sentencepiece_extractor.py
|
from argparse import ArgumentParser
from json import dump
from logging import basicConfig, getLogger
from os import linesep, remove
from os.path import exists
from tempfile import NamedTemporaryFile
from typing import Dict, List, Tuple
from requests import get
from sentencepiece import SentencePieceProcessor
from tqdm import trange, tqdm
basicConfig()
logger = getLogger()
class SentencePieceExtractor:
"""
Extractor implementation for SentencePiece trained models.
https://github.com/google/sentencepiece
"""
def __init__(self, model: str):
# Get SentencePiece
self.sp = SentencePieceProcessor()
self.sp.Load(model)
def extract(self) -> Tuple[Dict[str, int], List[Tuple]]:
sp = self.sp
vocab = {sp.id_to_piece(index): index for index in trange(sp.GetPieceSize())}
# Merges
merges = []
for piece_l in tqdm(vocab.keys(), total=sp.GetPieceSize()):
for piece_r in vocab.keys():
merge = f"{piece_l}{piece_r}"
piece_id = vocab.get(merge, None)
if piece_id:
merges += [(piece_l, piece_r, piece_id)]
merges = sorted(merges, key=lambda val: val[2])
merges = [(val[0], val[1]) for val in merges]
return vocab, merges
class YouTokenToMeExtractor:
"""
Extractor implementation for YouTokenToMe trained models format.
Model are as follow:
vocab_size nb_merges
piece piece_id
...(repeated vocab_size)
piece_id_left piece_id_right piece_id
...(repeated nb merges)
"""
def __init__(self, model: str):
self._model = model
def extract(self) -> Tuple[Dict[str, int], List[Tuple]]:
with open(self._model, "r") as model_f:
# Retrieve information
nb_pieces, nb_merges = map(int, model_f.readline().split())
vocab, merges = {}, []
# Vocab
for _ in trange(nb_pieces):
piece, piece_id = map(int, model_f.readline().split())
vocab[piece_id] = chr(piece)
# Merges
for _ in trange(nb_merges):
piece_id_l, piece_id_r, piece = map(int, model_f.readline().split())
piece_l, piece_r = vocab[piece_id_l], vocab[piece_id_r]
vocab[piece] = f"{piece_l}{piece_r}"
merges += [(piece_l, piece_r)]
# Special tokens
unk, pad, bos, eos = map(int, model_f.readline().split())
vocab[unk] = "<unk>"
vocab[pad] = "<pad>"
vocab[bos] = "<bos>"
vocab[eos] = "<eos>"
# Invert key and value for vocab
vocab = dict(zip(vocab.values(), vocab.keys()))
return vocab, merges
if __name__ == "__main__":
parser = ArgumentParser("SentencePiece vocab extractor")
parser.add_argument(
"--provider",
type=str,
required=True,
choices=["sentencepiece", "youtokentome"],
help="Indicate the format of the file.",
)
parser.add_argument(
"--model", type=str, required=True, help="SentencePiece model to extract vocab from."
)
parser.add_argument(
"--vocab-output-path",
type=str,
required=True,
help="Path where the vocab.json file will be extracted",
)
parser.add_argument(
"--merges-output-path",
type=str,
required=True,
help="Path where the merges file will be extracted",
)
# Parse cli arguments
args = parser.parse_args()
try:
if args.model.startswith("http"):
# Saving model
with NamedTemporaryFile("wb", delete=False) as f:
logger.info("Writing content from {} to {}".format(args.model, f.name))
response = get(args.model, allow_redirects=True)
f.write(response.content)
args.remote_model = args.model
args.model = f.name
# Allocate extractor
extractor = (
SentencePieceExtractor if args.provider == "sentencepiece" else YouTokenToMeExtractor
)
extractor = extractor(args.model)
logger.info(f"Using {type(extractor).__name__}")
# Open output files and let's extract model information
with open(args.vocab_output_path, "w") as vocab_f:
with open(args.merges_output_path, "w") as merges_f:
# Do the extraction
vocab, merges = extractor.extract()
# Save content
dump(vocab, vocab_f)
merges_f.writelines(map(lambda x: f"{x[0]} {x[1]}{linesep}", merges))
finally:
# If model was downloaded from internet we need to cleanup the tmp folder.
if hasattr(args, "remote_model") and exists(args.model):
remove(args.model)
| 0
|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/src/normalizers.rs
|
use std::sync::{Arc, RwLock};
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use crate::error::ToPyResult;
use crate::utils::{PyNormalizedString, PyNormalizedStringRefMut, PyPattern};
use serde::ser::SerializeStruct;
use serde::{Deserialize, Deserializer, Serialize, Serializer};
use tk::normalizers::{
BertNormalizer, Lowercase, Nmt, NormalizerWrapper, Precompiled, Prepend, Replace, Strip,
StripAccents, NFC, NFD, NFKC, NFKD,
};
use tk::{NormalizedString, Normalizer};
use tokenizers as tk;
/// Represents the different kind of NormalizedString we can receive from Python:
/// - Owned: Created in Python and owned by Python
/// - RefMut: A mutable reference to a NormalizedString owned by Rust
#[derive(FromPyObject)]
enum PyNormalizedStringMut<'p> {
Owned(PyRefMut<'p, PyNormalizedString>),
RefMut(PyNormalizedStringRefMut),
}
impl PyNormalizedStringMut<'_> {
/// Normalized the underlying `NormalizedString` using the provided normalizer
pub fn normalize_with<N>(&mut self, normalizer: &N) -> PyResult<()>
where
N: Normalizer,
{
match self {
PyNormalizedStringMut::Owned(ref mut n) => normalizer.normalize(&mut n.normalized),
PyNormalizedStringMut::RefMut(n) => n.map_as_mut(|n| normalizer.normalize(n))?,
}
.map_err(|e| exceptions::PyException::new_err(format!("{}", e)))
}
}
/// Base class for all normalizers
///
/// This class is not supposed to be instantiated directly. Instead, any implementation of a
/// Normalizer will return an instance of this class when instantiated.
#[pyclass(dict, module = "tokenizers.normalizers", name = "Normalizer", subclass)]
#[derive(Clone, Serialize, Deserialize)]
pub struct PyNormalizer {
#[serde(flatten)]
pub(crate) normalizer: PyNormalizerTypeWrapper,
}
impl PyNormalizer {
pub(crate) fn new(normalizer: PyNormalizerTypeWrapper) -> Self {
PyNormalizer { normalizer }
}
pub(crate) fn get_as_subtype(&self, py: Python<'_>) -> PyResult<PyObject> {
let base = self.clone();
Ok(match self.normalizer {
PyNormalizerTypeWrapper::Sequence(_) => Py::new(py, (PySequence {}, base))?.into_py(py),
PyNormalizerTypeWrapper::Single(ref inner) => match &*inner.as_ref().read().unwrap() {
PyNormalizerWrapper::Custom(_) => Py::new(py, base)?.into_py(py),
PyNormalizerWrapper::Wrapped(ref inner) => match inner {
NormalizerWrapper::Sequence(_) => {
Py::new(py, (PySequence {}, base))?.into_py(py)
}
NormalizerWrapper::BertNormalizer(_) => {
Py::new(py, (PyBertNormalizer {}, base))?.into_py(py)
}
NormalizerWrapper::StripNormalizer(_) => {
Py::new(py, (PyBertNormalizer {}, base))?.into_py(py)
}
NormalizerWrapper::Prepend(_) => Py::new(py, (PyPrepend {}, base))?.into_py(py),
NormalizerWrapper::StripAccents(_) => {
Py::new(py, (PyStripAccents {}, base))?.into_py(py)
}
NormalizerWrapper::NFC(_) => Py::new(py, (PyNFC {}, base))?.into_py(py),
NormalizerWrapper::NFD(_) => Py::new(py, (PyNFD {}, base))?.into_py(py),
NormalizerWrapper::NFKC(_) => Py::new(py, (PyNFKC {}, base))?.into_py(py),
NormalizerWrapper::NFKD(_) => Py::new(py, (PyNFKD {}, base))?.into_py(py),
NormalizerWrapper::Lowercase(_) => {
Py::new(py, (PyLowercase {}, base))?.into_py(py)
}
NormalizerWrapper::Precompiled(_) => {
Py::new(py, (PyPrecompiled {}, base))?.into_py(py)
}
NormalizerWrapper::Replace(_) => Py::new(py, (PyReplace {}, base))?.into_py(py),
NormalizerWrapper::Nmt(_) => Py::new(py, (PyNmt {}, base))?.into_py(py),
},
},
})
}
}
impl Normalizer for PyNormalizer {
fn normalize(&self, normalized: &mut NormalizedString) -> tk::Result<()> {
self.normalizer.normalize(normalized)
}
}
#[pymethods]
impl PyNormalizer {
#[staticmethod]
fn custom(obj: PyObject) -> Self {
Self {
normalizer: PyNormalizerWrapper::Custom(CustomNormalizer::new(obj)).into(),
}
}
fn __getstate__(&self, py: Python) -> PyResult<PyObject> {
let data = serde_json::to_string(&self.normalizer).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while attempting to pickle Normalizer: {}",
e
))
})?;
Ok(PyBytes::new(py, data.as_bytes()).to_object(py))
}
fn __setstate__(&mut self, py: Python, state: PyObject) -> PyResult<()> {
match state.extract::<&PyBytes>(py) {
Ok(s) => {
self.normalizer = serde_json::from_slice(s.as_bytes()).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while attempting to unpickle Normalizer: {}",
e
))
})?;
Ok(())
}
Err(e) => Err(e),
}
}
/// Normalize a :class:`~tokenizers.NormalizedString` in-place
///
/// This method allows to modify a :class:`~tokenizers.NormalizedString` to
/// keep track of the alignment information. If you just want to see the result
/// of the normalization on a raw string, you can use
/// :meth:`~tokenizers.normalizers.Normalizer.normalize_str`
///
/// Args:
/// normalized (:class:`~tokenizers.NormalizedString`):
/// The normalized string on which to apply this
/// :class:`~tokenizers.normalizers.Normalizer`
#[pyo3(text_signature = "(self, normalized)")]
fn normalize(&self, mut normalized: PyNormalizedStringMut) -> PyResult<()> {
normalized.normalize_with(&self.normalizer)
}
/// Normalize the given string
///
/// This method provides a way to visualize the effect of a
/// :class:`~tokenizers.normalizers.Normalizer` but it does not keep track of the alignment
/// information. If you need to get/convert offsets, you can use
/// :meth:`~tokenizers.normalizers.Normalizer.normalize`
///
/// Args:
/// sequence (:obj:`str`):
/// A string to normalize
///
/// Returns:
/// :obj:`str`: A string after normalization
#[pyo3(text_signature = "(self, sequence)")]
fn normalize_str(&self, sequence: &str) -> PyResult<String> {
let mut normalized = NormalizedString::from(sequence);
ToPyResult(self.normalizer.normalize(&mut normalized)).into_py()?;
Ok(normalized.get().to_owned())
}
}
macro_rules! getter {
($self: ident, $variant: ident, $name: ident) => {{
let super_ = $self.as_ref();
if let PyNormalizerTypeWrapper::Single(ref norm) = super_.normalizer {
let wrapper = norm.read().unwrap();
if let PyNormalizerWrapper::Wrapped(NormalizerWrapper::$variant(o)) = (*wrapper).clone()
{
o.$name
} else {
unreachable!()
}
} else {
unreachable!()
}
}};
}
macro_rules! setter {
($self: ident, $variant: ident, $name: ident, $value: expr) => {{
let super_ = $self.as_ref();
if let PyNormalizerTypeWrapper::Single(ref norm) = super_.normalizer {
let mut wrapper = norm.write().unwrap();
if let PyNormalizerWrapper::Wrapped(NormalizerWrapper::$variant(ref mut o)) = *wrapper {
o.$name = $value;
}
}
}};
}
/// BertNormalizer
///
/// Takes care of normalizing raw text before giving it to a Bert model.
/// This includes cleaning the text, handling accents, chinese chars and lowercasing
///
/// Args:
/// clean_text (:obj:`bool`, `optional`, defaults to :obj:`True`):
/// Whether to clean the text, by removing any control characters
/// and replacing all whitespaces by the classic one.
///
/// handle_chinese_chars (:obj:`bool`, `optional`, defaults to :obj:`True`):
/// Whether to handle chinese chars by putting spaces around them.
///
/// strip_accents (:obj:`bool`, `optional`):
/// Whether to strip all accents. If this option is not specified (ie == None),
/// then it will be determined by the value for `lowercase` (as in the original Bert).
///
/// lowercase (:obj:`bool`, `optional`, defaults to :obj:`True`):
/// Whether to lowercase.
#[pyclass(extends=PyNormalizer, module = "tokenizers.normalizers", name = "BertNormalizer")]
pub struct PyBertNormalizer {}
#[pymethods]
impl PyBertNormalizer {
#[getter]
fn get_clean_text(self_: PyRef<Self>) -> bool {
getter!(self_, BertNormalizer, clean_text)
}
#[setter]
fn set_clean_text(self_: PyRef<Self>, clean_text: bool) {
setter!(self_, BertNormalizer, clean_text, clean_text);
}
#[getter]
fn get_handle_chinese_chars(self_: PyRef<Self>) -> bool {
getter!(self_, BertNormalizer, handle_chinese_chars)
}
#[setter]
fn set_handle_chinese_chars(self_: PyRef<Self>, handle_chinese_chars: bool) {
setter!(
self_,
BertNormalizer,
handle_chinese_chars,
handle_chinese_chars
);
}
#[getter]
fn get_strip_accents(self_: PyRef<Self>) -> Option<bool> {
getter!(self_, BertNormalizer, strip_accents)
}
#[setter]
fn set_strip_accents(self_: PyRef<Self>, strip_accents: Option<bool>) {
setter!(self_, BertNormalizer, strip_accents, strip_accents);
}
#[getter]
fn get_lowercase(self_: PyRef<Self>) -> bool {
getter!(self_, BertNormalizer, lowercase)
}
#[setter]
fn set_lowercase(self_: PyRef<Self>, lowercase: bool) {
setter!(self_, BertNormalizer, lowercase, lowercase)
}
#[new]
#[pyo3(signature = (
clean_text = true,
handle_chinese_chars = true,
strip_accents = None,
lowercase = true
),
text_signature = "(self, clean_text=True, handle_chinese_chars=True, strip_accents=None, lowercase=True)")]
fn new(
clean_text: bool,
handle_chinese_chars: bool,
strip_accents: Option<bool>,
lowercase: bool,
) -> (Self, PyNormalizer) {
let normalizer =
BertNormalizer::new(clean_text, handle_chinese_chars, strip_accents, lowercase);
(PyBertNormalizer {}, normalizer.into())
}
}
/// NFD Unicode Normalizer
#[pyclass(extends=PyNormalizer, module = "tokenizers.normalizers", name = "NFD")]
pub struct PyNFD {}
#[pymethods]
impl PyNFD {
#[new]
#[pyo3(text_signature = "(self)")]
fn new() -> (Self, PyNormalizer) {
(PyNFD {}, PyNormalizer::new(NFD.into()))
}
}
/// NFKD Unicode Normalizer
#[pyclass(extends=PyNormalizer, module = "tokenizers.normalizers", name = "NFKD")]
pub struct PyNFKD {}
#[pymethods]
impl PyNFKD {
#[new]
#[pyo3(text_signature = "(self)")]
fn new() -> (Self, PyNormalizer) {
(PyNFKD {}, NFKD.into())
}
}
/// NFC Unicode Normalizer
#[pyclass(extends=PyNormalizer, module = "tokenizers.normalizers", name = "NFC")]
pub struct PyNFC {}
#[pymethods]
impl PyNFC {
#[new]
#[pyo3(text_signature = "(self)")]
fn new() -> (Self, PyNormalizer) {
(PyNFC {}, NFC.into())
}
}
/// NFKC Unicode Normalizer
#[pyclass(extends=PyNormalizer, module = "tokenizers.normalizers", name = "NFKC")]
pub struct PyNFKC {}
#[pymethods]
impl PyNFKC {
#[new]
#[pyo3(text_signature = "(self)")]
fn new() -> (Self, PyNormalizer) {
(PyNFKC {}, NFKC.into())
}
}
/// Allows concatenating multiple other Normalizer as a Sequence.
/// All the normalizers run in sequence in the given order
///
/// Args:
/// normalizers (:obj:`List[Normalizer]`):
/// A list of Normalizer to be run as a sequence
#[pyclass(extends=PyNormalizer, module = "tokenizers.normalizers", name = "Sequence")]
pub struct PySequence {}
#[pymethods]
impl PySequence {
#[new]
#[pyo3(text_signature = None)]
fn new(normalizers: &PyList) -> PyResult<(Self, PyNormalizer)> {
let mut sequence = Vec::with_capacity(normalizers.len());
for n in normalizers.iter() {
let normalizer: PyRef<PyNormalizer> = n.extract()?;
match &normalizer.normalizer {
PyNormalizerTypeWrapper::Sequence(inner) => sequence.extend(inner.iter().cloned()),
PyNormalizerTypeWrapper::Single(inner) => sequence.push(inner.clone()),
}
}
Ok((
PySequence {},
PyNormalizer::new(PyNormalizerTypeWrapper::Sequence(sequence)),
))
}
fn __getnewargs__<'p>(&self, py: Python<'p>) -> &'p PyTuple {
PyTuple::new(py, [PyList::empty(py)])
}
fn __len__(&self) -> usize {
0
}
}
/// Lowercase Normalizer
#[pyclass(extends=PyNormalizer, module = "tokenizers.normalizers", name = "Lowercase")]
pub struct PyLowercase {}
#[pymethods]
impl PyLowercase {
#[new]
#[pyo3(text_signature = "(self)")]
fn new() -> (Self, PyNormalizer) {
(PyLowercase {}, Lowercase.into())
}
}
/// Strip normalizer
#[pyclass(extends=PyNormalizer, module = "tokenizers.normalizers", name = "Strip")]
pub struct PyStrip {}
#[pymethods]
impl PyStrip {
#[getter]
fn get_left(self_: PyRef<Self>) -> bool {
getter!(self_, StripNormalizer, strip_left)
}
#[setter]
fn set_left(self_: PyRef<Self>, left: bool) {
setter!(self_, StripNormalizer, strip_left, left)
}
#[getter]
fn get_right(self_: PyRef<Self>) -> bool {
getter!(self_, StripNormalizer, strip_right)
}
#[setter]
fn set_right(self_: PyRef<Self>, right: bool) {
setter!(self_, StripNormalizer, strip_right, right)
}
#[new]
#[pyo3(signature = (left = true, right = true), text_signature = "(self, left=True, right=True)")]
fn new(left: bool, right: bool) -> (Self, PyNormalizer) {
(PyStrip {}, Strip::new(left, right).into())
}
}
/// Prepend normalizer
#[pyclass(extends=PyNormalizer, module = "tokenizers.normalizers", name = "Prepend")]
pub struct PyPrepend {}
#[pymethods]
impl PyPrepend {
#[getter]
fn get_prepend(self_: PyRef<Self>) -> String {
getter!(self_, Prepend, prepend)
}
#[setter]
fn set_prepend(self_: PyRef<Self>, prepend: String) {
setter!(self_, Prepend, prepend, prepend)
}
#[new]
#[pyo3(signature = (prepend="▁".to_string()), text_signature = "(self, prepend)")]
fn new(prepend: String) -> (Self, PyNormalizer) {
(PyPrepend {}, Prepend::new(prepend).into())
}
}
/// StripAccents normalizer
#[pyclass(extends=PyNormalizer, module = "tokenizers.normalizers", name = "StripAccents")]
pub struct PyStripAccents {}
#[pymethods]
impl PyStripAccents {
#[new]
#[pyo3(text_signature = "(self)")]
fn new() -> (Self, PyNormalizer) {
(PyStripAccents {}, StripAccents.into())
}
}
/// Nmt normalizer
#[pyclass(extends=PyNormalizer, module = "tokenizers.normalizers", name = "Nmt")]
pub struct PyNmt {}
#[pymethods]
impl PyNmt {
#[new]
#[pyo3(text_signature = "(self)")]
fn new() -> (Self, PyNormalizer) {
(PyNmt {}, Nmt.into())
}
}
/// Precompiled normalizer
/// Don't use manually it is used for compatiblity for SentencePiece.
#[pyclass(extends=PyNormalizer, module = "tokenizers.normalizers", name = "Precompiled")]
pub struct PyPrecompiled {}
#[pymethods]
impl PyPrecompiled {
#[new]
#[pyo3(text_signature = "(self, precompiled_charsmap)")]
fn new(py_precompiled_charsmap: &PyBytes) -> PyResult<(Self, PyNormalizer)> {
let precompiled_charsmap: &[u8] = FromPyObject::extract(py_precompiled_charsmap)?;
Ok((
PyPrecompiled {},
Precompiled::from(precompiled_charsmap)
.map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while attempting to build Precompiled normalizer: {}",
e
))
})?
.into(),
))
}
}
/// Replace normalizer
#[pyclass(extends=PyNormalizer, module = "tokenizers.normalizers", name = "Replace")]
pub struct PyReplace {}
#[pymethods]
impl PyReplace {
#[new]
#[pyo3(text_signature = "(self, pattern, content)")]
fn new(pattern: PyPattern, content: String) -> PyResult<(Self, PyNormalizer)> {
Ok((
PyReplace {},
ToPyResult(Replace::new(pattern, content)).into_py()?.into(),
))
}
}
#[derive(Debug, Clone)]
pub(crate) struct CustomNormalizer {
inner: PyObject,
}
impl CustomNormalizer {
pub fn new(inner: PyObject) -> Self {
Self { inner }
}
}
impl tk::tokenizer::Normalizer for CustomNormalizer {
fn normalize(&self, normalized: &mut NormalizedString) -> tk::Result<()> {
Python::with_gil(|py| {
let normalized = PyNormalizedStringRefMut::new(normalized);
let py_normalized = self.inner.as_ref(py);
py_normalized.call_method("normalize", (normalized.get(),), None)?;
Ok(())
})
}
}
impl Serialize for CustomNormalizer {
fn serialize<S>(&self, _serializer: S) -> Result<S::Ok, S::Error>
where
S: Serializer,
{
Err(serde::ser::Error::custom(
"Custom Normalizer cannot be serialized",
))
}
}
impl<'de> Deserialize<'de> for CustomNormalizer {
fn deserialize<D>(_deserializer: D) -> Result<Self, D::Error>
where
D: Deserializer<'de>,
{
Err(serde::de::Error::custom(
"Custom Normalizer cannot be deserialized",
))
}
}
#[derive(Debug, Clone, Deserialize)]
#[serde(untagged)]
pub(crate) enum PyNormalizerWrapper {
Custom(CustomNormalizer),
Wrapped(NormalizerWrapper),
}
impl Serialize for PyNormalizerWrapper {
fn serialize<S>(&self, serializer: S) -> Result<<S as Serializer>::Ok, <S as Serializer>::Error>
where
S: Serializer,
{
match self {
PyNormalizerWrapper::Wrapped(inner) => inner.serialize(serializer),
PyNormalizerWrapper::Custom(inner) => inner.serialize(serializer),
}
}
}
#[derive(Debug, Clone, Deserialize)]
#[serde(untagged)]
pub(crate) enum PyNormalizerTypeWrapper {
Sequence(Vec<Arc<RwLock<PyNormalizerWrapper>>>),
Single(Arc<RwLock<PyNormalizerWrapper>>),
}
impl Serialize for PyNormalizerTypeWrapper {
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
where
S: Serializer,
{
match self {
PyNormalizerTypeWrapper::Sequence(seq) => {
let mut ser = serializer.serialize_struct("Sequence", 2)?;
ser.serialize_field("type", "Sequence")?;
ser.serialize_field("normalizers", seq)?;
ser.end()
}
PyNormalizerTypeWrapper::Single(inner) => inner.serialize(serializer),
}
}
}
impl<I> From<I> for PyNormalizerWrapper
where
I: Into<NormalizerWrapper>,
{
fn from(norm: I) -> Self {
PyNormalizerWrapper::Wrapped(norm.into())
}
}
impl<I> From<I> for PyNormalizerTypeWrapper
where
I: Into<PyNormalizerWrapper>,
{
fn from(norm: I) -> Self {
PyNormalizerTypeWrapper::Single(Arc::new(RwLock::new(norm.into())))
}
}
impl<I> From<I> for PyNormalizer
where
I: Into<NormalizerWrapper>,
{
fn from(norm: I) -> Self {
PyNormalizer {
normalizer: norm.into().into(),
}
}
}
impl Normalizer for PyNormalizerTypeWrapper {
fn normalize(&self, normalized: &mut NormalizedString) -> tk::Result<()> {
match self {
PyNormalizerTypeWrapper::Single(inner) => inner.read().unwrap().normalize(normalized),
PyNormalizerTypeWrapper::Sequence(inner) => inner
.iter()
.try_for_each(|n| n.read().unwrap().normalize(normalized)),
}
}
}
impl Normalizer for PyNormalizerWrapper {
fn normalize(&self, normalized: &mut NormalizedString) -> tk::Result<()> {
match self {
PyNormalizerWrapper::Wrapped(inner) => inner.normalize(normalized),
PyNormalizerWrapper::Custom(inner) => inner.normalize(normalized),
}
}
}
/// Normalizers Module
#[pymodule]
pub fn normalizers(_py: Python, m: &PyModule) -> PyResult<()> {
m.add_class::<PyNormalizer>()?;
m.add_class::<PyBertNormalizer>()?;
m.add_class::<PyNFD>()?;
m.add_class::<PyNFKD>()?;
m.add_class::<PyNFC>()?;
m.add_class::<PyNFKC>()?;
m.add_class::<PySequence>()?;
m.add_class::<PyLowercase>()?;
m.add_class::<PyStrip>()?;
m.add_class::<PyStripAccents>()?;
m.add_class::<PyPrepend>()?;
m.add_class::<PyNmt>()?;
m.add_class::<PyPrecompiled>()?;
m.add_class::<PyReplace>()?;
Ok(())
}
#[cfg(test)]
mod test {
use pyo3::prelude::*;
use tk::normalizers::unicode::{NFC, NFKC};
use tk::normalizers::utils::Sequence;
use tk::normalizers::NormalizerWrapper;
use crate::normalizers::{PyNormalizer, PyNormalizerTypeWrapper, PyNormalizerWrapper};
#[test]
fn get_subtype() {
Python::with_gil(|py| {
let py_norm = PyNormalizer::new(NFC.into());
let py_nfc = py_norm.get_as_subtype(py).unwrap();
assert_eq!("NFC", py_nfc.as_ref(py).get_type().name().unwrap());
})
}
#[test]
fn serialize() {
let py_wrapped: PyNormalizerWrapper = NFKC.into();
let py_ser = serde_json::to_string(&py_wrapped).unwrap();
let rs_wrapped = NormalizerWrapper::NFKC(NFKC);
let rs_ser = serde_json::to_string(&rs_wrapped).unwrap();
assert_eq!(py_ser, rs_ser);
let py_norm: PyNormalizer = serde_json::from_str(&rs_ser).unwrap();
match py_norm.normalizer {
PyNormalizerTypeWrapper::Single(inner) => match *inner.as_ref().read().unwrap() {
PyNormalizerWrapper::Wrapped(NormalizerWrapper::NFKC(_)) => {}
_ => panic!("Expected NFKC"),
},
_ => panic!("Expected wrapped, not sequence."),
}
let py_seq: PyNormalizerWrapper = Sequence::new(vec![NFC.into(), NFKC.into()]).into();
let py_wrapper_ser = serde_json::to_string(&py_seq).unwrap();
let rs_wrapped = NormalizerWrapper::Sequence(Sequence::new(vec![NFC.into(), NFKC.into()]));
let rs_ser = serde_json::to_string(&rs_wrapped).unwrap();
assert_eq!(py_wrapper_ser, rs_ser);
let py_seq = PyNormalizer::new(py_seq.into());
let py_ser = serde_json::to_string(&py_seq).unwrap();
assert_eq!(py_wrapper_ser, py_ser);
let rs_seq = Sequence::new(vec![NFC.into(), NFKC.into()]);
let rs_ser = serde_json::to_string(&rs_seq).unwrap();
assert_eq!(py_wrapper_ser, rs_ser);
}
#[test]
fn deserialize_sequence() {
let string = r#"{"type": "NFKC"}"#;
let normalizer: PyNormalizer = serde_json::from_str(string).unwrap();
match normalizer.normalizer {
PyNormalizerTypeWrapper::Single(inner) => match *inner.as_ref().read().unwrap() {
PyNormalizerWrapper::Wrapped(NormalizerWrapper::NFKC(_)) => {}
_ => panic!("Expected NFKC"),
},
_ => panic!("Expected wrapped, not sequence."),
}
let sequence_string = format!(r#"{{"type": "Sequence", "normalizers": [{}]}}"#, string);
let normalizer: PyNormalizer = serde_json::from_str(&sequence_string).unwrap();
match normalizer.normalizer {
PyNormalizerTypeWrapper::Single(inner) => match &*inner.as_ref().read().unwrap() {
PyNormalizerWrapper::Wrapped(NormalizerWrapper::Sequence(sequence)) => {
let normalizers = sequence.get_normalizers();
assert_eq!(normalizers.len(), 1);
match normalizers[0] {
NormalizerWrapper::NFKC(_) => {}
_ => panic!("Expected NFKC"),
}
}
_ => panic!("Expected sequence"),
},
_ => panic!("Expected single"),
};
}
}
| 0
|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/src/error.rs
|
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::type_object::PyTypeInfo;
use std::fmt::{Display, Formatter, Result as FmtResult};
use tokenizers::tokenizer::Result;
#[derive(Debug)]
pub struct PyError(pub String);
impl PyError {
#[allow(dead_code)]
pub fn from(s: &str) -> Self {
PyError(String::from(s))
}
pub fn into_pyerr<T: PyTypeInfo>(self) -> PyErr {
PyErr::new::<T, _>(format!("{}", self))
}
}
impl Display for PyError {
fn fmt(&self, fmt: &mut Formatter) -> FmtResult {
write!(fmt, "{}", self.0)
}
}
impl std::error::Error for PyError {}
pub struct ToPyResult<T>(pub Result<T>);
impl<T> From<ToPyResult<T>> for PyResult<T> {
fn from(v: ToPyResult<T>) -> Self {
v.0.map_err(|e| exceptions::PyException::new_err(format!("{}", e)))
}
}
impl<T> ToPyResult<T> {
pub fn into_py(self) -> PyResult<T> {
self.into()
}
}
pub(crate) fn deprecation_warning(py: Python<'_>, version: &str, message: &str) -> PyResult<()> {
let deprecation_warning = py.import("builtins")?.getattr("DeprecationWarning")?;
let full_message = format!("Deprecated in {}: {}", version, message);
pyo3::PyErr::warn(py, deprecation_warning, &full_message, 0)
}
| 0
|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/src/encoding.rs
|
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use tk::tokenizer::{Offsets, PaddingDirection};
use tk::utils::truncation::TruncationDirection;
use tokenizers as tk;
use crate::error::{deprecation_warning, PyError};
/// The :class:`~tokenizers.Encoding` represents the output of a :class:`~tokenizers.Tokenizer`.
#[pyclass(dict, module = "tokenizers", name = "Encoding")]
#[repr(transparent)]
pub struct PyEncoding {
pub encoding: tk::tokenizer::Encoding,
}
impl From<tk::tokenizer::Encoding> for PyEncoding {
fn from(v: tk::tokenizer::Encoding) -> Self {
Self { encoding: v }
}
}
#[pymethods]
impl PyEncoding {
#[new]
#[pyo3(text_signature = None)]
fn new() -> Self {
Self {
encoding: tk::tokenizer::Encoding::default(),
}
}
fn __getstate__(&self, py: Python) -> PyResult<PyObject> {
let data = serde_json::to_string(&self.encoding).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while attempting to pickle Encoding: {}",
e
))
})?;
Ok(PyBytes::new(py, data.as_bytes()).to_object(py))
}
fn __setstate__(&mut self, py: Python, state: PyObject) -> PyResult<()> {
match state.extract::<&PyBytes>(py) {
Ok(s) => {
self.encoding = serde_json::from_slice(s.as_bytes()).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while attempting to unpickle Encoding: {}",
e
))
})?;
Ok(())
}
Err(e) => Err(e),
}
}
fn __repr__(&self) -> PyResult<String> {
Ok(format!(
"Encoding(num_tokens={}, attributes=[ids, type_ids, tokens, offsets, \
attention_mask, special_tokens_mask, overflowing])",
self.encoding.get_ids().len()
))
}
fn __len__(&self) -> PyResult<usize> {
Ok(self.encoding.len())
}
/// Merge the list of encodings into one final :class:`~tokenizers.Encoding`
///
/// Args:
/// encodings (A :obj:`List` of :class:`~tokenizers.Encoding`):
/// The list of encodings that should be merged in one
///
/// growing_offsets (:obj:`bool`, defaults to :obj:`True`):
/// Whether the offsets should accumulate while merging
///
/// Returns:
/// :class:`~tokenizers.Encoding`: The resulting Encoding
#[staticmethod]
#[pyo3(signature = (encodings, growing_offsets = true))]
#[pyo3(text_signature = "(encodings, growing_offsets=True)")]
fn merge(encodings: Vec<PyRef<PyEncoding>>, growing_offsets: bool) -> PyEncoding {
tk::tokenizer::Encoding::merge(
encodings.into_iter().map(|e| e.encoding.clone()),
growing_offsets,
)
.into()
}
/// The number of sequences represented
///
/// Returns:
/// :obj:`int`: The number of sequences in this :class:`~tokenizers.Encoding`
#[getter]
fn get_n_sequences(&self) -> usize {
self.encoding.n_sequences()
}
/// Set the given sequence index
///
/// Set the given sequence index for the whole range of tokens contained in this
/// :class:`~tokenizers.Encoding`.
#[pyo3(text_signature = "(self, sequence_id)")]
fn set_sequence_id(&mut self, sequence_id: usize) {
self.encoding.set_sequence_id(sequence_id);
}
/// The generated IDs
///
/// The IDs are the main input to a Language Model. They are the token indices,
/// the numerical representations that a LM understands.
///
/// Returns:
/// :obj:`List[int]`: The list of IDs
#[getter]
fn get_ids(&self) -> Vec<u32> {
self.encoding.get_ids().to_vec()
}
/// The generated tokens
///
/// They are the string representation of the IDs.
///
/// Returns:
/// :obj:`List[str]`: The list of tokens
#[getter]
fn get_tokens(&self) -> Vec<String> {
self.encoding.get_tokens().to_vec()
}
/// The generated word indices.
///
/// .. warning::
/// This is deprecated and will be removed in a future version.
/// Please use :obj:`~tokenizers.Encoding.word_ids` instead.
///
/// They represent the index of the word associated to each token.
/// When the input is pre-tokenized, they correspond to the ID of the given input label,
/// otherwise they correspond to the words indices as defined by the
/// :class:`~tokenizers.pre_tokenizers.PreTokenizer` that was used.
///
/// For special tokens and such (any token that was generated from something that was
/// not part of the input), the output is :obj:`None`
///
/// Returns:
/// A :obj:`List` of :obj:`Optional[int]`: A list of optional word index.
#[getter]
fn get_words(&self, py: Python<'_>) -> PyResult<Vec<Option<u32>>> {
deprecation_warning(
py,
"0.9.4",
"Encoding.words is deprecated, please use Encoding.word_ids instead.",
)?;
Ok(self.get_word_ids())
}
/// The generated word indices.
///
/// They represent the index of the word associated to each token.
/// When the input is pre-tokenized, they correspond to the ID of the given input label,
/// otherwise they correspond to the words indices as defined by the
/// :class:`~tokenizers.pre_tokenizers.PreTokenizer` that was used.
///
/// For special tokens and such (any token that was generated from something that was
/// not part of the input), the output is :obj:`None`
///
/// Returns:
/// A :obj:`List` of :obj:`Optional[int]`: A list of optional word index.
#[getter]
fn get_word_ids(&self) -> Vec<Option<u32>> {
self.encoding.get_word_ids().to_vec()
}
/// The generated sequence indices.
///
/// They represent the index of the input sequence associated to each token.
/// The sequence id can be None if the token is not related to any input sequence,
/// like for example with special tokens.
///
/// Returns:
/// A :obj:`List` of :obj:`Optional[int]`: A list of optional sequence index.
#[getter]
fn get_sequence_ids(&self) -> Vec<Option<usize>> {
self.encoding.get_sequence_ids()
}
/// The generated type IDs
///
/// Generally used for tasks like sequence classification or question answering,
/// these tokens let the LM know which input sequence corresponds to each tokens.
///
/// Returns:
/// :obj:`List[int]`: The list of type ids
#[getter]
fn get_type_ids(&self) -> Vec<u32> {
self.encoding.get_type_ids().to_vec()
}
/// The offsets associated to each token
///
/// These offsets let's you slice the input string, and thus retrieve the original
/// part that led to producing the corresponding token.
///
/// Returns:
/// A :obj:`List` of :obj:`Tuple[int, int]`: The list of offsets
#[getter]
fn get_offsets(&self) -> Vec<(usize, usize)> {
self.encoding.get_offsets().to_vec()
}
/// The special token mask
///
/// This indicates which tokens are special tokens, and which are not.
///
/// Returns:
/// :obj:`List[int]`: The special tokens mask
#[getter]
fn get_special_tokens_mask(&self) -> Vec<u32> {
self.encoding.get_special_tokens_mask().to_vec()
}
/// The attention mask
///
/// This indicates to the LM which tokens should be attended to, and which should not.
/// This is especially important when batching sequences, where we need to applying
/// padding.
///
/// Returns:
/// :obj:`List[int]`: The attention mask
#[getter]
fn get_attention_mask(&self) -> Vec<u32> {
self.encoding.get_attention_mask().to_vec()
}
/// A :obj:`List` of overflowing :class:`~tokenizers.Encoding`
///
/// When using truncation, the :class:`~tokenizers.Tokenizer` takes care of splitting
/// the output into as many pieces as required to match the specified maximum length.
/// This field lets you retrieve all the subsequent pieces.
///
/// When you use pairs of sequences, the overflowing pieces will contain enough
/// variations to cover all the possible combinations, while respecting the provided
/// maximum length.
#[getter]
fn get_overflowing(&self) -> Vec<PyEncoding> {
self.encoding
.get_overflowing()
.clone()
.into_iter()
.map(|e| e.into())
.collect()
}
/// Get the encoded tokens corresponding to the word at the given index
/// in one of the input sequences.
///
/// Args:
/// word_index (:obj:`int`):
/// The index of a word in one of the input sequences.
/// sequence_index (:obj:`int`, defaults to :obj:`0`):
/// The index of the sequence that contains the target word
///
/// Returns:
/// :obj:`Tuple[int, int]`: The range of tokens: :obj:`(first, last + 1)`
#[pyo3(signature = (word_index, sequence_index = 0))]
#[pyo3(text_signature = "(self, word_index, sequence_index=0)")]
fn word_to_tokens(&self, word_index: u32, sequence_index: usize) -> Option<(usize, usize)> {
self.encoding.word_to_tokens(word_index, sequence_index)
}
/// Get the offsets of the word at the given index in one of the input sequences.
///
/// Args:
/// word_index (:obj:`int`):
/// The index of a word in one of the input sequences.
/// sequence_index (:obj:`int`, defaults to :obj:`0`):
/// The index of the sequence that contains the target word
///
/// Returns:
/// :obj:`Tuple[int, int]`: The range of characters (span) :obj:`(first, last + 1)`
#[pyo3(signature = (word_index, sequence_index = 0))]
#[pyo3(text_signature = "(self, word_index, sequence_index=0)")]
fn word_to_chars(&self, word_index: u32, sequence_index: usize) -> Option<Offsets> {
self.encoding.word_to_chars(word_index, sequence_index)
}
/// Get the index of the sequence represented by the given token.
///
/// In the general use case, this method returns :obj:`0` for a single sequence or
/// the first sequence of a pair, and :obj:`1` for the second sequence of a pair
///
/// Args:
/// token_index (:obj:`int`):
/// The index of a token in the encoded sequence.
///
/// Returns:
/// :obj:`int`: The sequence id of the given token
#[pyo3(text_signature = "(self, token_index)")]
fn token_to_sequence(&self, token_index: usize) -> Option<usize> {
self.encoding.token_to_sequence(token_index)
}
/// Get the offsets of the token at the given index.
///
/// The returned offsets are related to the input sequence that contains the
/// token. In order to determine in which input sequence it belongs, you
/// must call :meth:`~tokenizers.Encoding.token_to_sequence()`.
///
/// Args:
/// token_index (:obj:`int`):
/// The index of a token in the encoded sequence.
///
/// Returns:
/// :obj:`Tuple[int, int]`: The token offsets :obj:`(first, last + 1)`
#[pyo3(text_signature = "(self, token_index)")]
fn token_to_chars(&self, token_index: usize) -> Option<Offsets> {
let (_, offsets) = self.encoding.token_to_chars(token_index)?;
Some(offsets)
}
/// Get the index of the word that contains the token in one of the input sequences.
///
/// The returned word index is related to the input sequence that contains
/// the token. In order to determine in which input sequence it belongs, you
/// must call :meth:`~tokenizers.Encoding.token_to_sequence()`.
///
/// Args:
/// token_index (:obj:`int`):
/// The index of a token in the encoded sequence.
///
/// Returns:
/// :obj:`int`: The index of the word in the relevant input sequence.
#[pyo3(text_signature = "(self, token_index)")]
fn token_to_word(&self, token_index: usize) -> Option<u32> {
let (_, word_idx) = self.encoding.token_to_word(token_index)?;
Some(word_idx)
}
/// Get the token that contains the char at the given position in the input sequence.
///
/// Args:
/// char_pos (:obj:`int`):
/// The position of a char in the input string
/// sequence_index (:obj:`int`, defaults to :obj:`0`):
/// The index of the sequence that contains the target char
///
/// Returns:
/// :obj:`int`: The index of the token that contains this char in the encoded sequence
#[pyo3(signature = (char_pos, sequence_index = 0))]
#[pyo3(text_signature = "(self, char_pos, sequence_index=0)")]
fn char_to_token(&self, char_pos: usize, sequence_index: usize) -> Option<usize> {
self.encoding.char_to_token(char_pos, sequence_index)
}
/// Get the word that contains the char at the given position in the input sequence.
///
/// Args:
/// char_pos (:obj:`int`):
/// The position of a char in the input string
/// sequence_index (:obj:`int`, defaults to :obj:`0`):
/// The index of the sequence that contains the target char
///
/// Returns:
/// :obj:`int`: The index of the word that contains this char in the input sequence
#[pyo3(signature = (char_pos, sequence_index = 0))]
#[pyo3(text_signature = "(self, char_pos, sequence_index=0)")]
fn char_to_word(&self, char_pos: usize, sequence_index: usize) -> Option<u32> {
self.encoding.char_to_word(char_pos, sequence_index)
}
/// Pad the :class:`~tokenizers.Encoding` at the given length
///
/// Args:
/// length (:obj:`int`):
/// The desired length
///
/// direction: (:obj:`str`, defaults to :obj:`right`):
/// The expected padding direction. Can be either :obj:`right` or :obj:`left`
///
/// pad_id (:obj:`int`, defaults to :obj:`0`):
/// The ID corresponding to the padding token
///
/// pad_type_id (:obj:`int`, defaults to :obj:`0`):
/// The type ID corresponding to the padding token
///
/// pad_token (:obj:`str`, defaults to `[PAD]`):
/// The pad token to use
#[pyo3(signature = (length, **kwargs))]
#[pyo3(
text_signature = "(self, length, direction='right', pad_id=0, pad_type_id=0, pad_token='[PAD]')"
)]
fn pad(&mut self, length: usize, kwargs: Option<&PyDict>) -> PyResult<()> {
let mut pad_id = 0;
let mut pad_type_id = 0;
let mut pad_token = "[PAD]";
let mut direction = PaddingDirection::Right;
if let Some(kwargs) = kwargs {
for (key, value) in kwargs {
let key: &str = key.extract()?;
match key {
"direction" => {
let value: &str = value.extract()?;
direction = match value {
"left" => Ok(PaddingDirection::Left),
"right" => Ok(PaddingDirection::Right),
other => Err(PyError(format!(
"Unknown `direction`: `{}`. Use \
one of `left` or `right`",
other
))
.into_pyerr::<exceptions::PyValueError>()),
}?;
}
"pad_id" => pad_id = value.extract()?,
"pad_type_id" => pad_type_id = value.extract()?,
"pad_token" => pad_token = value.extract()?,
_ => println!("Ignored unknown kwarg option {}", key),
}
}
}
self.encoding
.pad(length, pad_id, pad_type_id, pad_token, direction);
Ok(())
}
/// Truncate the :class:`~tokenizers.Encoding` at the given length
///
/// If this :class:`~tokenizers.Encoding` represents multiple sequences, when truncating
/// this information is lost. It will be considered as representing a single sequence.
///
/// Args:
/// max_length (:obj:`int`):
/// The desired length
///
/// stride (:obj:`int`, defaults to :obj:`0`):
/// The length of previous content to be included in each overflowing piece
///
/// direction (:obj:`str`, defaults to :obj:`right`):
/// Truncate direction
#[pyo3(signature = (max_length, stride = 0, direction = "right"))]
#[pyo3(text_signature = "(self, max_length, stride=0, direction='right')")]
fn truncate(&mut self, max_length: usize, stride: usize, direction: &str) -> PyResult<()> {
let tdir = match direction {
"left" => Ok(TruncationDirection::Left),
"right" => Ok(TruncationDirection::Right),
_ => Err(PyError(format!(
"Invalid truncation direction value : {}",
direction
))
.into_pyerr::<exceptions::PyValueError>()),
}?;
self.encoding.truncate(max_length, stride, tdir);
Ok(())
}
}
| 0
|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/src/token.rs
|
use pyo3::prelude::*;
use tk::Token;
#[pyclass(module = "tokenizers", name = "Token")]
#[derive(Clone)]
pub struct PyToken {
token: Token,
}
impl From<Token> for PyToken {
fn from(token: Token) -> Self {
Self { token }
}
}
impl From<PyToken> for Token {
fn from(token: PyToken) -> Self {
token.token
}
}
#[pymethods]
impl PyToken {
#[new]
#[pyo3(text_signature = None)]
fn new(id: u32, value: String, offsets: (usize, usize)) -> PyToken {
Token::new(id, value, offsets).into()
}
#[getter]
fn get_id(&self) -> u32 {
self.token.id
}
#[getter]
fn get_value(&self) -> &str {
&self.token.value
}
#[getter]
fn get_offsets(&self) -> (usize, usize) {
self.token.offsets
}
fn as_tuple(&self) -> (u32, &str, (usize, usize)) {
(self.token.id, &self.token.value, self.token.offsets)
}
}
| 0
|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/src/lib.rs
|
#![warn(clippy::all)]
#![allow(clippy::upper_case_acronyms)]
// Many false positives with pyo3 it seems &str, and &PyAny get flagged
#![allow(clippy::borrow_deref_ref)]
extern crate tokenizers as tk;
mod decoders;
mod encoding;
mod error;
mod models;
mod normalizers;
mod pre_tokenizers;
mod processors;
mod token;
mod tokenizer;
mod trainers;
mod utils;
use pyo3::prelude::*;
use pyo3::wrap_pymodule;
pub const VERSION: &str = env!("CARGO_PKG_VERSION");
// For users using multiprocessing in python, it is quite easy to fork the process running
// tokenizers, ending up with a deadlock because we internaly make use of multithreading. So
// we register a callback to be called in the event of a fork so that we can warn the user.
#[cfg(target_family = "unix")]
static mut REGISTERED_FORK_CALLBACK: bool = false;
#[cfg(target_family = "unix")]
extern "C" fn child_after_fork() {
use tk::parallelism::*;
if has_parallelism_been_used() && !is_parallelism_configured() {
eprintln!(
"huggingface/tokenizers: The current process just got forked, after parallelism has \
already been used. Disabling parallelism to avoid deadlocks..."
);
eprintln!("To disable this warning, you can either:");
eprintln!(
"\t- Avoid using `tokenizers` before the fork if possible\n\
\t- Explicitly set the environment variable {}=(true | false)",
ENV_VARIABLE
);
set_parallelism(false);
}
}
/// Tokenizers Module
#[pymodule]
pub fn tokenizers(_py: Python, m: &PyModule) -> PyResult<()> {
let _ = env_logger::try_init_from_env("TOKENIZERS_LOG");
// Register the fork callback
#[cfg(target_family = "unix")]
unsafe {
if !REGISTERED_FORK_CALLBACK {
libc::pthread_atfork(None, None, Some(child_after_fork));
REGISTERED_FORK_CALLBACK = true;
}
}
m.add_class::<tokenizer::PyTokenizer>()?;
m.add_class::<tokenizer::PyAddedToken>()?;
m.add_class::<token::PyToken>()?;
m.add_class::<encoding::PyEncoding>()?;
m.add_class::<utils::PyRegex>()?;
m.add_class::<utils::PyNormalizedString>()?;
m.add_class::<utils::PyPreTokenizedString>()?;
m.add_wrapped(wrap_pymodule!(models::models))?;
m.add_wrapped(wrap_pymodule!(pre_tokenizers::pre_tokenizers))?;
m.add_wrapped(wrap_pymodule!(decoders::decoders))?;
m.add_wrapped(wrap_pymodule!(processors::processors))?;
m.add_wrapped(wrap_pymodule!(normalizers::normalizers))?;
m.add_wrapped(wrap_pymodule!(trainers::trainers))?;
m.add("__version__", env!("CARGO_PKG_VERSION"))?;
Ok(())
}
| 0
|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/src/decoders.rs
|
use std::sync::{Arc, RwLock};
use crate::utils::PyChar;
use crate::utils::PyPattern;
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use serde::de::Error;
use serde::{Deserialize, Deserializer, Serialize, Serializer};
use tk::decoders::bpe::BPEDecoder;
use tk::decoders::byte_fallback::ByteFallback;
use tk::decoders::byte_level::ByteLevel;
use tk::decoders::ctc::CTC;
use tk::decoders::fuse::Fuse;
use tk::decoders::metaspace::Metaspace;
use tk::decoders::sequence::Sequence;
use tk::decoders::strip::Strip;
use tk::decoders::wordpiece::WordPiece;
use tk::decoders::DecoderWrapper;
use tk::normalizers::replace::Replace;
use tk::Decoder;
use tokenizers as tk;
use super::error::ToPyResult;
/// Base class for all decoders
///
/// This class is not supposed to be instantiated directly. Instead, any implementation of
/// a Decoder will return an instance of this class when instantiated.
#[pyclass(dict, module = "tokenizers.decoders", name = "Decoder", subclass)]
#[derive(Clone, Deserialize, Serialize)]
pub struct PyDecoder {
#[serde(flatten)]
pub(crate) decoder: PyDecoderWrapper,
}
impl PyDecoder {
pub(crate) fn new(decoder: PyDecoderWrapper) -> Self {
PyDecoder { decoder }
}
pub(crate) fn get_as_subtype(&self, py: Python<'_>) -> PyResult<PyObject> {
let base = self.clone();
Ok(match &self.decoder {
PyDecoderWrapper::Custom(_) => Py::new(py, base)?.into_py(py),
PyDecoderWrapper::Wrapped(inner) => match &*inner.as_ref().read().unwrap() {
DecoderWrapper::Metaspace(_) => Py::new(py, (PyMetaspaceDec {}, base))?.into_py(py),
DecoderWrapper::WordPiece(_) => Py::new(py, (PyWordPieceDec {}, base))?.into_py(py),
DecoderWrapper::ByteFallback(_) => {
Py::new(py, (PyByteFallbackDec {}, base))?.into_py(py)
}
DecoderWrapper::Strip(_) => Py::new(py, (PyStrip {}, base))?.into_py(py),
DecoderWrapper::Fuse(_) => Py::new(py, (PyFuseDec {}, base))?.into_py(py),
DecoderWrapper::ByteLevel(_) => Py::new(py, (PyByteLevelDec {}, base))?.into_py(py),
DecoderWrapper::Replace(_) => Py::new(py, (PyReplaceDec {}, base))?.into_py(py),
DecoderWrapper::BPE(_) => Py::new(py, (PyBPEDecoder {}, base))?.into_py(py),
DecoderWrapper::CTC(_) => Py::new(py, (PyCTCDecoder {}, base))?.into_py(py),
DecoderWrapper::Sequence(_) => {
Py::new(py, (PySequenceDecoder {}, base))?.into_py(py)
}
},
})
}
}
impl Decoder for PyDecoder {
fn decode_chain(&self, tokens: Vec<String>) -> tk::Result<Vec<String>> {
self.decoder.decode_chain(tokens)
}
}
#[pymethods]
impl PyDecoder {
#[staticmethod]
fn custom(decoder: PyObject) -> Self {
let decoder = PyDecoderWrapper::Custom(Arc::new(RwLock::new(CustomDecoder::new(decoder))));
PyDecoder::new(decoder)
}
fn __getstate__(&self, py: Python) -> PyResult<PyObject> {
let data = serde_json::to_string(&self.decoder).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while attempting to pickle Decoder: {}",
e
))
})?;
Ok(PyBytes::new(py, data.as_bytes()).to_object(py))
}
fn __setstate__(&mut self, py: Python, state: PyObject) -> PyResult<()> {
match state.extract::<&PyBytes>(py) {
Ok(s) => {
self.decoder = serde_json::from_slice(s.as_bytes()).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while attempting to unpickle Decoder: {}",
e
))
})?;
Ok(())
}
Err(e) => Err(e),
}
}
/// Decode the given list of tokens to a final string
///
/// Args:
/// tokens (:obj:`List[str]`):
/// The list of tokens to decode
///
/// Returns:
/// :obj:`str`: The decoded string
#[pyo3(text_signature = "(self, tokens)")]
fn decode(&self, tokens: Vec<String>) -> PyResult<String> {
ToPyResult(self.decoder.decode(tokens)).into()
}
}
macro_rules! getter {
($self: ident, $variant: ident, $($name: tt)+) => {{
let super_ = $self.as_ref();
if let PyDecoderWrapper::Wrapped(ref wrap) = super_.decoder {
if let DecoderWrapper::$variant(ref dec) = *wrap.read().unwrap() {
dec.$($name)+
} else {
unreachable!()
}
} else {
unreachable!()
}
}};
}
macro_rules! setter {
($self: ident, $variant: ident, $name: ident, $value: expr) => {{
let super_ = $self.as_ref();
if let PyDecoderWrapper::Wrapped(ref wrap) = super_.decoder {
if let DecoderWrapper::$variant(ref mut dec) = *wrap.write().unwrap() {
dec.$name = $value;
}
}
}};
($self: ident, $variant: ident, @$name: ident, $value: expr) => {{
let super_ = $self.as_ref();
if let PyDecoderWrapper::Wrapped(ref wrap) = super_.decoder {
if let DecoderWrapper::$variant(ref mut dec) = *wrap.write().unwrap() {
dec.$name($value);
}
}
}};
}
/// ByteLevel Decoder
///
/// This decoder is to be used in tandem with the :class:`~tokenizers.pre_tokenizers.ByteLevel`
/// :class:`~tokenizers.pre_tokenizers.PreTokenizer`.
#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "ByteLevel")]
pub struct PyByteLevelDec {}
#[pymethods]
impl PyByteLevelDec {
#[new]
#[pyo3(signature = (**_kwargs), text_signature = "(self)")]
fn new(_kwargs: Option<&PyDict>) -> (Self, PyDecoder) {
(PyByteLevelDec {}, ByteLevel::default().into())
}
}
/// Replace Decoder
///
/// This decoder is to be used in tandem with the :class:`~tokenizers.pre_tokenizers.Replace`
/// :class:`~tokenizers.pre_tokenizers.PreTokenizer`.
#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "Replace")]
pub struct PyReplaceDec {}
#[pymethods]
impl PyReplaceDec {
#[new]
#[pyo3(text_signature = "(self, pattern, content)")]
fn new(pattern: PyPattern, content: String) -> PyResult<(Self, PyDecoder)> {
Ok((
PyReplaceDec {},
ToPyResult(Replace::new(pattern, content)).into_py()?.into(),
))
}
}
/// WordPiece Decoder
///
/// Args:
/// prefix (:obj:`str`, `optional`, defaults to :obj:`##`):
/// The prefix to use for subwords that are not a beginning-of-word
///
/// cleanup (:obj:`bool`, `optional`, defaults to :obj:`True`):
/// Whether to cleanup some tokenization artifacts. Mainly spaces before punctuation,
/// and some abbreviated english forms.
#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "WordPiece")]
pub struct PyWordPieceDec {}
#[pymethods]
impl PyWordPieceDec {
#[getter]
fn get_prefix(self_: PyRef<Self>) -> String {
getter!(self_, WordPiece, prefix.clone())
}
#[setter]
fn set_prefix(self_: PyRef<Self>, prefix: String) {
setter!(self_, WordPiece, prefix, prefix);
}
#[getter]
fn get_cleanup(self_: PyRef<Self>) -> bool {
getter!(self_, WordPiece, cleanup)
}
#[setter]
fn set_cleanup(self_: PyRef<Self>, cleanup: bool) {
setter!(self_, WordPiece, cleanup, cleanup);
}
#[new]
#[pyo3(signature = (prefix = String::from("##"), cleanup = true), text_signature = "(self, prefix=\"##\", cleanup=True)")]
fn new(prefix: String, cleanup: bool) -> (Self, PyDecoder) {
(PyWordPieceDec {}, WordPiece::new(prefix, cleanup).into())
}
}
/// ByteFallback Decoder
/// ByteFallback is a simple trick which converts tokens looking like `<0x61>`
/// to pure bytes, and attempts to make them into a string. If the tokens
/// cannot be decoded you will get � instead for each inconvertable byte token
///
#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "ByteFallback")]
pub struct PyByteFallbackDec {}
#[pymethods]
impl PyByteFallbackDec {
#[new]
#[pyo3(signature = (), text_signature = "(self)")]
fn new() -> (Self, PyDecoder) {
(PyByteFallbackDec {}, ByteFallback::new().into())
}
}
/// Fuse Decoder
/// Fuse simply fuses every token into a single string.
/// This is the last step of decoding, this decoder exists only if
/// there is need to add other decoders *after* the fusion
#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "Fuse")]
pub struct PyFuseDec {}
#[pymethods]
impl PyFuseDec {
#[new]
#[pyo3(signature = (), text_signature = "(self)")]
fn new() -> (Self, PyDecoder) {
(PyFuseDec {}, Fuse::new().into())
}
}
/// Strip normalizer
/// Strips n left characters of each token, or n right characters of each token
#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "Strip")]
pub struct PyStrip {}
#[pymethods]
impl PyStrip {
#[getter]
fn get_start(self_: PyRef<Self>) -> usize {
getter!(self_, Strip, start)
}
#[setter]
fn set_start(self_: PyRef<Self>, start: usize) {
setter!(self_, Strip, start, start)
}
#[getter]
fn get_stop(self_: PyRef<Self>) -> usize {
getter!(self_, Strip, stop)
}
#[setter]
fn set_stop(self_: PyRef<Self>, stop: usize) {
setter!(self_, Strip, stop, stop)
}
#[getter]
fn get_content(self_: PyRef<Self>) -> char {
getter!(self_, Strip, content)
}
#[setter]
fn set_content(self_: PyRef<Self>, content: char) {
setter!(self_, Strip, content, content)
}
#[new]
#[pyo3(signature = (content=' ', left=0, right=0), text_signature = "(self, content, left=0, right=0)")]
fn new(content: char, left: usize, right: usize) -> (Self, PyDecoder) {
(PyStrip {}, Strip::new(content, left, right).into())
}
}
/// Metaspace Decoder
///
/// Args:
/// replacement (:obj:`str`, `optional`, defaults to :obj:`▁`):
/// The replacement character. Must be exactly one character. By default we
/// use the `▁` (U+2581) meta symbol (Same as in SentencePiece).
///
/// add_prefix_space (:obj:`bool`, `optional`, defaults to :obj:`True`):
/// Whether to add a space to the first word if there isn't already one. This
/// lets us treat `hello` exactly like `say hello`.
#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "Metaspace")]
pub struct PyMetaspaceDec {}
#[pymethods]
impl PyMetaspaceDec {
#[getter]
fn get_replacement(self_: PyRef<Self>) -> String {
getter!(self_, Metaspace, get_replacement().to_string())
}
#[setter]
fn set_replacement(self_: PyRef<Self>, replacement: PyChar) {
setter!(self_, Metaspace, @set_replacement, replacement.0);
}
#[getter]
fn get_add_prefix_space(self_: PyRef<Self>) -> bool {
getter!(self_, Metaspace, add_prefix_space)
}
#[setter]
fn set_add_prefix_space(self_: PyRef<Self>, add_prefix_space: bool) {
setter!(self_, Metaspace, add_prefix_space, add_prefix_space);
}
#[new]
#[pyo3(signature = (replacement = PyChar('▁'), add_prefix_space = true), text_signature = "(self, replacement = \"▁\", add_prefix_space = True)")]
fn new(replacement: PyChar, add_prefix_space: bool) -> (Self, PyDecoder) {
(
PyMetaspaceDec {},
Metaspace::new(replacement.0, add_prefix_space).into(),
)
}
}
/// BPEDecoder Decoder
///
/// Args:
/// suffix (:obj:`str`, `optional`, defaults to :obj:`</w>`):
/// The suffix that was used to caracterize an end-of-word. This suffix will
/// be replaced by whitespaces during the decoding
#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "BPEDecoder")]
pub struct PyBPEDecoder {}
#[pymethods]
impl PyBPEDecoder {
#[getter]
fn get_suffix(self_: PyRef<Self>) -> String {
getter!(self_, BPE, suffix.clone())
}
#[setter]
fn set_suffix(self_: PyRef<Self>, suffix: String) {
setter!(self_, BPE, suffix, suffix);
}
#[new]
#[pyo3(signature = (suffix = String::from("</w>")), text_signature = "(self, suffix=\"</w>\")")]
fn new(suffix: String) -> (Self, PyDecoder) {
(PyBPEDecoder {}, BPEDecoder::new(suffix).into())
}
}
/// CTC Decoder
///
/// Args:
/// pad_token (:obj:`str`, `optional`, defaults to :obj:`<pad>`):
/// The pad token used by CTC to delimit a new token.
/// word_delimiter_token (:obj:`str`, `optional`, defaults to :obj:`|`):
/// The word delimiter token. It will be replaced by a <space>
/// cleanup (:obj:`bool`, `optional`, defaults to :obj:`True`):
/// Whether to cleanup some tokenization artifacts.
/// Mainly spaces before punctuation, and some abbreviated english forms.
#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "CTC")]
pub struct PyCTCDecoder {}
#[pymethods]
impl PyCTCDecoder {
#[getter]
fn get_pad_token(self_: PyRef<Self>) -> String {
getter!(self_, CTC, pad_token.clone())
}
#[setter]
fn set_pad_token(self_: PyRef<Self>, pad_token: String) {
setter!(self_, CTC, pad_token, pad_token);
}
#[getter]
fn get_word_delimiter_token(self_: PyRef<Self>) -> String {
getter!(self_, CTC, word_delimiter_token.clone())
}
#[setter]
fn set_word_delimiter_token(self_: PyRef<Self>, word_delimiter_token: String) {
setter!(self_, CTC, word_delimiter_token, word_delimiter_token);
}
#[getter]
fn get_cleanup(self_: PyRef<Self>) -> bool {
getter!(self_, CTC, cleanup)
}
#[setter]
fn set_cleanup(self_: PyRef<Self>, cleanup: bool) {
setter!(self_, CTC, cleanup, cleanup);
}
#[new]
#[pyo3(signature = (
pad_token = String::from("<pad>"),
word_delimiter_token = String::from("|"),
cleanup = true
),
text_signature = "(self, pad_token=\"<pad>\", word_delimiter_token=\"|\", cleanup=True)")]
fn new(pad_token: String, word_delimiter_token: String, cleanup: bool) -> (Self, PyDecoder) {
(
PyCTCDecoder {},
CTC::new(pad_token, word_delimiter_token, cleanup).into(),
)
}
}
/// Sequence Decoder
///
/// Args:
/// decoders (:obj:`List[Decoder]`)
/// The decoders that need to be chained
#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name="Sequence")]
pub struct PySequenceDecoder {}
#[pymethods]
impl PySequenceDecoder {
#[new]
#[pyo3(signature = (decoders_py), text_signature = "(self, decoders)")]
fn new(decoders_py: &PyList) -> PyResult<(Self, PyDecoder)> {
let mut decoders: Vec<DecoderWrapper> = Vec::with_capacity(decoders_py.len());
for decoder_py in decoders_py.iter() {
let decoder: PyRef<PyDecoder> = decoder_py.extract()?;
let decoder = match &decoder.decoder {
PyDecoderWrapper::Wrapped(inner) => inner,
PyDecoderWrapper::Custom(_) => unimplemented!(),
};
decoders.push(decoder.read().unwrap().clone());
}
Ok((PySequenceDecoder {}, Sequence::new(decoders).into()))
}
fn __getnewargs__<'p>(&self, py: Python<'p>) -> &'p PyTuple {
PyTuple::new(py, [PyList::empty(py)])
}
}
#[derive(Clone)]
pub(crate) struct CustomDecoder {
inner: PyObject,
}
impl CustomDecoder {
pub(crate) fn new(inner: PyObject) -> Self {
CustomDecoder { inner }
}
}
impl Decoder for CustomDecoder {
fn decode(&self, tokens: Vec<String>) -> tk::Result<String> {
Python::with_gil(|py| {
let decoded = self
.inner
.call_method(py, "decode", (tokens,), None)?
.extract(py)?;
Ok(decoded)
})
}
fn decode_chain(&self, tokens: Vec<String>) -> tk::Result<Vec<String>> {
Python::with_gil(|py| {
let decoded = self
.inner
.call_method(py, "decode_chain", (tokens,), None)?
.extract(py)?;
Ok(decoded)
})
}
}
impl Serialize for CustomDecoder {
fn serialize<S>(&self, _serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: Serializer,
{
Err(serde::ser::Error::custom(
"Custom PyDecoder cannot be serialized",
))
}
}
impl<'de> Deserialize<'de> for CustomDecoder {
fn deserialize<D>(_deserializer: D) -> std::result::Result<Self, D::Error>
where
D: Deserializer<'de>,
{
Err(D::Error::custom("PyDecoder cannot be deserialized"))
}
}
#[derive(Clone, Deserialize, Serialize)]
#[serde(untagged)]
pub(crate) enum PyDecoderWrapper {
Custom(Arc<RwLock<CustomDecoder>>),
Wrapped(Arc<RwLock<DecoderWrapper>>),
}
impl<I> From<I> for PyDecoderWrapper
where
I: Into<DecoderWrapper>,
{
fn from(norm: I) -> Self {
PyDecoderWrapper::Wrapped(Arc::new(RwLock::new(norm.into())))
}
}
impl<I> From<I> for PyDecoder
where
I: Into<DecoderWrapper>,
{
fn from(dec: I) -> Self {
PyDecoder {
decoder: dec.into().into(),
}
}
}
impl Decoder for PyDecoderWrapper {
fn decode_chain(&self, tokens: Vec<String>) -> tk::Result<Vec<String>> {
match self {
PyDecoderWrapper::Wrapped(inner) => inner.read().unwrap().decode_chain(tokens),
PyDecoderWrapper::Custom(inner) => inner.read().unwrap().decode_chain(tokens),
}
}
}
/// Decoders Module
#[pymodule]
pub fn decoders(_py: Python, m: &PyModule) -> PyResult<()> {
m.add_class::<PyDecoder>()?;
m.add_class::<PyByteLevelDec>()?;
m.add_class::<PyReplaceDec>()?;
m.add_class::<PyWordPieceDec>()?;
m.add_class::<PyByteFallbackDec>()?;
m.add_class::<PyFuseDec>()?;
m.add_class::<PyStrip>()?;
m.add_class::<PyMetaspaceDec>()?;
m.add_class::<PyBPEDecoder>()?;
m.add_class::<PyCTCDecoder>()?;
m.add_class::<PySequenceDecoder>()?;
Ok(())
}
#[cfg(test)]
mod test {
use std::sync::{Arc, RwLock};
use pyo3::prelude::*;
use tk::decoders::metaspace::Metaspace;
use tk::decoders::DecoderWrapper;
use crate::decoders::{CustomDecoder, PyDecoder, PyDecoderWrapper};
#[test]
fn get_subtype() {
Python::with_gil(|py| {
let py_dec = PyDecoder::new(Metaspace::default().into());
let py_meta = py_dec.get_as_subtype(py).unwrap();
assert_eq!("Metaspace", py_meta.as_ref(py).get_type().name().unwrap());
})
}
#[test]
fn serialize() {
let py_wrapped: PyDecoderWrapper = Metaspace::default().into();
let py_ser = serde_json::to_string(&py_wrapped).unwrap();
let rs_wrapped = DecoderWrapper::Metaspace(Metaspace::default());
let rs_ser = serde_json::to_string(&rs_wrapped).unwrap();
assert_eq!(py_ser, rs_ser);
let py_dec: PyDecoder = serde_json::from_str(&rs_ser).unwrap();
match py_dec.decoder {
PyDecoderWrapper::Wrapped(msp) => match *msp.as_ref().read().unwrap() {
DecoderWrapper::Metaspace(_) => {}
_ => panic!("Expected Metaspace"),
},
_ => panic!("Expected wrapped, not custom."),
}
let obj = Python::with_gil(|py| {
let py_msp = PyDecoder::new(Metaspace::default().into());
let obj: PyObject = Py::new(py, py_msp).unwrap().into_py(py);
obj
});
let py_seq = PyDecoderWrapper::Custom(Arc::new(RwLock::new(CustomDecoder::new(obj))));
assert!(serde_json::to_string(&py_seq).is_err());
}
}
| 0
|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/src/models.rs
|
use std::collections::HashMap;
use std::path::{Path, PathBuf};
use std::sync::{Arc, RwLock};
use crate::token::PyToken;
use crate::trainers::PyTrainer;
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use serde::{Deserialize, Serialize};
use tk::models::bpe::{BpeBuilder, Merges, Vocab, BPE};
use tk::models::unigram::Unigram;
use tk::models::wordlevel::WordLevel;
use tk::models::wordpiece::{WordPiece, WordPieceBuilder};
use tk::models::ModelWrapper;
use tk::{Model, Token};
use tokenizers as tk;
use super::error::{deprecation_warning, ToPyResult};
/// Base class for all models
///
/// The model represents the actual tokenization algorithm. This is the part that
/// will contain and manage the learned vocabulary.
///
/// This class cannot be constructed directly. Please use one of the concrete models.
#[pyclass(module = "tokenizers.models", name = "Model", subclass)]
#[derive(Clone, Serialize, Deserialize)]
pub struct PyModel {
#[serde(flatten)]
pub model: Arc<RwLock<ModelWrapper>>,
}
impl PyModel {
pub(crate) fn get_as_subtype(&self, py: Python<'_>) -> PyResult<PyObject> {
let base = self.clone();
Ok(match *self.model.as_ref().read().unwrap() {
ModelWrapper::BPE(_) => Py::new(py, (PyBPE {}, base))?.into_py(py),
ModelWrapper::WordPiece(_) => Py::new(py, (PyWordPiece {}, base))?.into_py(py),
ModelWrapper::WordLevel(_) => Py::new(py, (PyWordLevel {}, base))?.into_py(py),
ModelWrapper::Unigram(_) => Py::new(py, (PyUnigram {}, base))?.into_py(py),
})
}
}
impl Model for PyModel {
type Trainer = PyTrainer;
fn tokenize(&self, tokens: &str) -> tk::Result<Vec<Token>> {
self.model.read().unwrap().tokenize(tokens)
}
fn token_to_id(&self, token: &str) -> Option<u32> {
self.model.read().unwrap().token_to_id(token)
}
fn id_to_token(&self, id: u32) -> Option<String> {
self.model.read().unwrap().id_to_token(id)
}
fn get_vocab(&self) -> HashMap<String, u32> {
self.model.read().unwrap().get_vocab()
}
fn get_vocab_size(&self) -> usize {
self.model.read().unwrap().get_vocab_size()
}
fn save(&self, folder: &Path, name: Option<&str>) -> tk::Result<Vec<PathBuf>> {
self.model.read().unwrap().save(folder, name)
}
fn get_trainer(&self) -> Self::Trainer {
self.model.read().unwrap().get_trainer().into()
}
}
impl<I> From<I> for PyModel
where
I: Into<ModelWrapper>,
{
fn from(model: I) -> Self {
Self {
model: Arc::new(RwLock::new(model.into())),
}
}
}
#[pymethods]
impl PyModel {
#[new]
#[pyo3(text_signature = None)]
fn __new__() -> Self {
// Instantiate a default empty model. This doesn't really make sense, but we need
// to be able to instantiate an empty model for pickle capabilities.
PyModel {
model: Arc::new(RwLock::new(BPE::default().into())),
}
}
fn __getstate__(&self, py: Python) -> PyResult<PyObject> {
let data = serde_json::to_string(&self.model).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while attempting to pickle Model: {}",
e
))
})?;
Ok(PyBytes::new(py, data.as_bytes()).to_object(py))
}
fn __setstate__(&mut self, py: Python, state: PyObject) -> PyResult<()> {
match state.extract::<&PyBytes>(py) {
Ok(s) => {
self.model = serde_json::from_slice(s.as_bytes()).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while attempting to unpickle Model: {}",
e
))
})?;
Ok(())
}
Err(e) => Err(e),
}
}
/// Tokenize a sequence
///
/// Args:
/// sequence (:obj:`str`):
/// A sequence to tokenize
///
/// Returns:
/// A :obj:`List` of :class:`~tokenizers.Token`: The generated tokens
#[pyo3(text_signature = "(self, sequence)")]
fn tokenize(&self, sequence: &str) -> PyResult<Vec<PyToken>> {
Ok(ToPyResult(self.model.read().unwrap().tokenize(sequence))
.into_py()?
.into_iter()
.map(|t| t.into())
.collect())
}
/// Get the ID associated to a token
///
/// Args:
/// token (:obj:`str`):
/// A token to convert to an ID
///
/// Returns:
/// :obj:`int`: The ID associated to the token
#[pyo3(text_signature = "(self, tokens)")]
fn token_to_id(&self, token: &str) -> Option<u32> {
self.model.read().unwrap().token_to_id(token)
}
/// Get the token associated to an ID
///
/// Args:
/// id (:obj:`int`):
/// An ID to convert to a token
///
/// Returns:
/// :obj:`str`: The token associated to the ID
#[pyo3(text_signature = "(self, id)")]
fn id_to_token(&self, id: u32) -> Option<String> {
self.model.read().unwrap().id_to_token(id)
}
/// Save the current model
///
/// Save the current model in the given folder, using the given prefix for the various
/// files that will get created.
/// Any file with the same name that already exists in this folder will be overwritten.
///
/// Args:
/// folder (:obj:`str`):
/// The path to the target folder in which to save the various files
///
/// prefix (:obj:`str`, `optional`):
/// An optional prefix, used to prefix each file name
///
/// Returns:
/// :obj:`List[str]`: The list of saved files
#[pyo3(text_signature = "(self, folder, prefix)")]
fn save<'a>(
&self,
py: Python<'_>,
folder: &str,
mut prefix: Option<&'a str>,
name: Option<&'a str>,
) -> PyResult<Vec<String>> {
if name.is_some() {
deprecation_warning(
py,
"0.10.0",
"Parameter `name` of Model.save has been renamed `prefix`",
)?;
if prefix.is_none() {
prefix = name;
}
}
let saved: PyResult<Vec<_>> =
ToPyResult(self.model.read().unwrap().save(Path::new(folder), prefix)).into();
Ok(saved?
.into_iter()
.map(|path| path.to_string_lossy().into_owned())
.collect())
}
/// Get the associated :class:`~tokenizers.trainers.Trainer`
///
/// Retrieve the :class:`~tokenizers.trainers.Trainer` associated to this
/// :class:`~tokenizers.models.Model`.
///
/// Returns:
/// :class:`~tokenizers.trainers.Trainer`: The Trainer used to train this model
#[pyo3(text_signature = "(self)")]
fn get_trainer(&self, py: Python<'_>) -> PyResult<PyObject> {
PyTrainer::from(self.model.read().unwrap().get_trainer()).get_as_subtype(py)
}
}
/// An implementation of the BPE (Byte-Pair Encoding) algorithm
///
/// Args:
/// vocab (:obj:`Dict[str, int]`, `optional`):
/// A dictionnary of string keys and their ids :obj:`{"am": 0,...}`
///
/// merges (:obj:`List[Tuple[str, str]]`, `optional`):
/// A list of pairs of tokens (:obj:`Tuple[str, str]`) :obj:`[("a", "b"),...]`
///
/// cache_capacity (:obj:`int`, `optional`):
/// The number of words that the BPE cache can contain. The cache allows
/// to speed-up the process by keeping the result of the merge operations
/// for a number of words.
///
/// dropout (:obj:`float`, `optional`):
/// A float between 0 and 1 that represents the BPE dropout to use.
///
/// unk_token (:obj:`str`, `optional`):
/// The unknown token to be used by the model.
///
/// continuing_subword_prefix (:obj:`str`, `optional`):
/// The prefix to attach to subword units that don't represent a beginning of word.
///
/// end_of_word_suffix (:obj:`str`, `optional`):
/// The suffix to attach to subword units that represent an end of word.
///
/// fuse_unk (:obj:`bool`, `optional`):
/// Whether to fuse any subsequent unknown tokens into a single one
///
/// byte_fallback (:obj:`bool`, `optional`):
/// Whether to use spm byte-fallback trick (defaults to False)
#[pyclass(extends=PyModel, module = "tokenizers.models", name = "BPE")]
pub struct PyBPE {}
impl PyBPE {
fn with_builder(mut builder: BpeBuilder, kwargs: Option<&PyDict>) -> PyResult<(Self, PyModel)> {
if let Some(kwargs) = kwargs {
for (key, value) in kwargs {
let key: &str = key.extract()?;
match key {
"cache_capacity" => builder = builder.cache_capacity(value.extract()?),
"dropout" => {
if let Some(dropout) = value.extract()? {
builder = builder.dropout(dropout);
}
}
"unk_token" => {
if let Some(unk) = value.extract()? {
builder = builder.unk_token(unk);
}
}
"continuing_subword_prefix" => {
builder = builder.continuing_subword_prefix(value.extract()?)
}
"end_of_word_suffix" => builder = builder.end_of_word_suffix(value.extract()?),
"fuse_unk" => builder = builder.fuse_unk(value.extract()?),
"byte_fallback" => builder = builder.byte_fallback(value.extract()?),
_ => println!("Ignored unknown kwarg option {}", key),
};
}
}
match builder.build() {
Err(e) => Err(exceptions::PyException::new_err(format!(
"Error while initializing BPE: {}",
e
))),
Ok(bpe) => Ok((PyBPE {}, bpe.into())),
}
}
}
macro_rules! getter {
($self: ident, $variant: ident, $($name: tt)+) => {{
let super_ = $self.as_ref();
let model = super_.model.read().unwrap();
if let ModelWrapper::$variant(ref mo) = *model {
mo.$($name)+
} else {
unreachable!()
}
}};
}
macro_rules! setter {
($self: ident, $variant: ident, $name: ident, $value: expr) => {{
let super_ = $self.as_ref();
let mut model = super_.model.write().unwrap();
if let ModelWrapper::$variant(ref mut mo) = *model {
mo.$name = $value;
}
}};
}
#[derive(FromPyObject)]
enum PyVocab<'a> {
Vocab(Vocab),
Filename(&'a str),
}
#[derive(FromPyObject)]
enum PyMerges<'a> {
Merges(Merges),
Filename(&'a str),
}
#[pymethods]
impl PyBPE {
#[getter]
fn get_dropout(self_: PyRef<Self>) -> Option<f32> {
getter!(self_, BPE, dropout)
}
#[setter]
fn set_dropout(self_: PyRef<Self>, dropout: Option<f32>) {
setter!(self_, BPE, dropout, dropout);
}
#[getter]
fn get_unk_token(self_: PyRef<Self>) -> Option<String> {
getter!(self_, BPE, unk_token.clone())
}
#[setter]
fn set_unk_token(self_: PyRef<Self>, unk_token: Option<String>) {
setter!(self_, BPE, unk_token, unk_token);
}
#[getter]
fn get_continuing_subword_prefix(self_: PyRef<Self>) -> Option<String> {
getter!(self_, BPE, continuing_subword_prefix.clone())
}
#[setter]
fn set_continuing_subword_prefix(
self_: PyRef<Self>,
continuing_subword_prefix: Option<String>,
) {
setter!(
self_,
BPE,
continuing_subword_prefix,
continuing_subword_prefix
);
}
#[getter]
fn get_end_of_word_suffix(self_: PyRef<Self>) -> Option<String> {
getter!(self_, BPE, end_of_word_suffix.clone())
}
#[setter]
fn set_end_of_word_suffix(self_: PyRef<Self>, end_of_word_suffix: Option<String>) {
setter!(self_, BPE, end_of_word_suffix, end_of_word_suffix);
}
#[getter]
fn get_fuse_unk(self_: PyRef<Self>) -> bool {
getter!(self_, BPE, fuse_unk)
}
#[setter]
fn set_fuse_unk(self_: PyRef<Self>, fuse_unk: bool) {
setter!(self_, BPE, fuse_unk, fuse_unk);
}
#[getter]
fn get_byte_fallback(self_: PyRef<Self>) -> bool {
getter!(self_, BPE, byte_fallback)
}
#[setter]
fn set_byte_fallback(self_: PyRef<Self>, byte_fallback: bool) {
setter!(self_, BPE, byte_fallback, byte_fallback);
}
#[new]
#[pyo3(
signature = (vocab=None, merges=None, **kwargs),
text_signature = "(self, vocab=None, merges=None, cache_capacity=None, dropout=None, unk_token=None, continuing_subword_prefix=None, end_of_word_suffix=None, fuse_unk=None, byte_fallback=False)")]
fn new(
py: Python<'_>,
vocab: Option<PyVocab>,
merges: Option<PyMerges>,
kwargs: Option<&PyDict>,
) -> PyResult<(Self, PyModel)> {
if (vocab.is_some() && merges.is_none()) || (vocab.is_none() && merges.is_some()) {
return Err(exceptions::PyValueError::new_err(
"`vocab` and `merges` must be both specified",
));
}
let mut builder = BPE::builder();
if let (Some(vocab), Some(merges)) = (vocab, merges) {
match (vocab, merges) {
(PyVocab::Vocab(vocab), PyMerges::Merges(merges)) => {
builder = builder.vocab_and_merges(vocab, merges);
}
(PyVocab::Filename(vocab_filename), PyMerges::Filename(merges_filename)) => {
deprecation_warning(
py,
"0.9.0",
"BPE.__init__ will not create from files anymore, try `BPE.from_file` instead",
)?;
builder =
builder.files(vocab_filename.to_string(), merges_filename.to_string());
}
_ => {
return Err(exceptions::PyValueError::new_err(
"`vocab` and `merges` must be both be from memory or both filenames",
));
}
}
}
PyBPE::with_builder(builder, kwargs)
}
/// Read a :obj:`vocab.json` and a :obj:`merges.txt` files
///
/// This method provides a way to read and parse the content of these files,
/// returning the relevant data structures. If you want to instantiate some BPE models
/// from memory, this method gives you the expected input from the standard files.
///
/// Args:
/// vocab (:obj:`str`):
/// The path to a :obj:`vocab.json` file
///
/// merges (:obj:`str`):
/// The path to a :obj:`merges.txt` file
///
/// Returns:
/// A :obj:`Tuple` with the vocab and the merges:
/// The vocabulary and merges loaded into memory
#[staticmethod]
#[pyo3(text_signature = "(self, vocab, merges)")]
fn read_file(vocab: &str, merges: &str) -> PyResult<(Vocab, Merges)> {
BPE::read_file(vocab, merges).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while reading vocab & merges files: {}",
e
))
})
}
/// Instantiate a BPE model from the given files.
///
/// This method is roughly equivalent to doing::
///
/// vocab, merges = BPE.read_file(vocab_filename, merges_filename)
/// bpe = BPE(vocab, merges)
///
/// If you don't need to keep the :obj:`vocab, merges` values lying around,
/// this method is more optimized than manually calling
/// :meth:`~tokenizers.models.BPE.read_file` to initialize a :class:`~tokenizers.models.BPE`
///
/// Args:
/// vocab (:obj:`str`):
/// The path to a :obj:`vocab.json` file
///
/// merges (:obj:`str`):
/// The path to a :obj:`merges.txt` file
///
/// Returns:
/// :class:`~tokenizers.models.BPE`: An instance of BPE loaded from these files
#[classmethod]
#[pyo3(signature = (vocab, merges, **kwargs))]
#[pyo3(text_signature = "(cls, vocab, merge, **kwargs)")]
fn from_file(
_cls: &PyType,
py: Python,
vocab: &str,
merges: &str,
kwargs: Option<&PyDict>,
) -> PyResult<Py<Self>> {
let (vocab, merges) = BPE::read_file(vocab, merges).map_err(|e| {
exceptions::PyException::new_err(format!("Error while reading BPE files: {}", e))
})?;
Py::new(
py,
PyBPE::new(
py,
Some(PyVocab::Vocab(vocab)),
Some(PyMerges::Merges(merges)),
kwargs,
)?,
)
}
}
/// An implementation of the WordPiece algorithm
///
/// Args:
/// vocab (:obj:`Dict[str, int]`, `optional`):
/// A dictionnary of string keys and their ids :obj:`{"am": 0,...}`
///
/// unk_token (:obj:`str`, `optional`):
/// The unknown token to be used by the model.
///
/// max_input_chars_per_word (:obj:`int`, `optional`):
/// The maximum number of characters to authorize in a single word.
#[pyclass(extends=PyModel, module = "tokenizers.models", name = "WordPiece")]
pub struct PyWordPiece {}
impl PyWordPiece {
fn with_builder(
mut builder: WordPieceBuilder,
kwargs: Option<&PyDict>,
) -> PyResult<(Self, PyModel)> {
if let Some(kwargs) = kwargs {
for (key, val) in kwargs {
let key: &str = key.extract()?;
match key {
"unk_token" => {
builder = builder.unk_token(val.extract()?);
}
"max_input_chars_per_word" => {
builder = builder.max_input_chars_per_word(val.extract()?);
}
"continuing_subword_prefix" => {
builder = builder.continuing_subword_prefix(val.extract()?);
}
_ => println!("Ignored unknown kwargs option {}", key),
}
}
}
match builder.build() {
Err(e) => Err(exceptions::PyException::new_err(format!(
"Error while initializing WordPiece: {}",
e
))),
Ok(wordpiece) => Ok((PyWordPiece {}, wordpiece.into())),
}
}
}
#[pymethods]
impl PyWordPiece {
#[getter]
fn get_unk_token(self_: PyRef<Self>) -> String {
getter!(self_, WordPiece, unk_token.clone())
}
#[setter]
fn set_unk_token(self_: PyRef<Self>, unk_token: String) {
setter!(self_, WordPiece, unk_token, unk_token);
}
#[getter]
fn get_continuing_subword_prefix(self_: PyRef<Self>) -> String {
getter!(self_, WordPiece, continuing_subword_prefix.clone())
}
#[setter]
fn set_continuing_subword_prefix(self_: PyRef<Self>, continuing_subword_prefix: String) {
setter!(
self_,
WordPiece,
continuing_subword_prefix,
continuing_subword_prefix
);
}
#[getter]
fn get_max_input_chars_per_word(self_: PyRef<Self>) -> usize {
getter!(self_, WordPiece, max_input_chars_per_word)
}
#[setter]
fn set_max_input_chars_per_word(self_: PyRef<Self>, max: usize) {
setter!(self_, WordPiece, max_input_chars_per_word, max);
}
#[new]
#[pyo3(signature = (vocab=None, **kwargs), text_signature = "(self, vocab, unk_token, max_input_chars_per_word)")]
fn new(
py: Python<'_>,
vocab: Option<PyVocab>,
kwargs: Option<&PyDict>,
) -> PyResult<(Self, PyModel)> {
let mut builder = WordPiece::builder();
if let Some(vocab) = vocab {
match vocab {
PyVocab::Vocab(vocab) => {
builder = builder.vocab(vocab);
}
PyVocab::Filename(vocab_filename) => {
deprecation_warning(
py,
"0.9.0",
"WordPiece.__init__ will not create from files anymore, try `WordPiece.from_file` instead",
)?;
builder = builder.files(vocab_filename.to_string());
}
}
}
PyWordPiece::with_builder(builder, kwargs)
}
/// Read a :obj:`vocab.txt` file
///
/// This method provides a way to read and parse the content of a standard `vocab.txt`
/// file as used by the WordPiece Model, returning the relevant data structures. If you
/// want to instantiate some WordPiece models from memory, this method gives you the
/// expected input from the standard files.
///
/// Args:
/// vocab (:obj:`str`):
/// The path to a :obj:`vocab.txt` file
///
/// Returns:
/// :obj:`Dict[str, int]`: The vocabulary as a :obj:`dict`
#[staticmethod]
#[pyo3(text_signature = "(vocab)")]
fn read_file(vocab: &str) -> PyResult<Vocab> {
WordPiece::read_file(vocab).map_err(|e| {
exceptions::PyException::new_err(format!("Error while reading WordPiece file: {}", e))
})
}
/// Instantiate a WordPiece model from the given file
///
/// This method is roughly equivalent to doing::
///
/// vocab = WordPiece.read_file(vocab_filename)
/// wordpiece = WordPiece(vocab)
///
/// If you don't need to keep the :obj:`vocab` values lying around, this method is
/// more optimized than manually calling :meth:`~tokenizers.models.WordPiece.read_file` to
/// initialize a :class:`~tokenizers.models.WordPiece`
///
/// Args:
/// vocab (:obj:`str`):
/// The path to a :obj:`vocab.txt` file
///
/// Returns:
/// :class:`~tokenizers.models.WordPiece`: An instance of WordPiece loaded from file
#[classmethod]
#[pyo3(signature = (vocab, **kwargs))]
#[pyo3(text_signature = "(vocab, **kwargs)")]
fn from_file(
_cls: &PyType,
py: Python,
vocab: &str,
kwargs: Option<&PyDict>,
) -> PyResult<Py<Self>> {
let vocab = WordPiece::read_file(vocab).map_err(|e| {
exceptions::PyException::new_err(format!("Error while reading WordPiece file: {}", e))
})?;
Py::new(
py,
PyWordPiece::new(py, Some(PyVocab::Vocab(vocab)), kwargs)?,
)
}
}
/// An implementation of the WordLevel algorithm
///
/// Most simple tokenizer model based on mapping tokens to their corresponding id.
///
/// Args:
/// vocab (:obj:`str`, `optional`):
/// A dictionnary of string keys and their ids :obj:`{"am": 0,...}`
///
/// unk_token (:obj:`str`, `optional`):
/// The unknown token to be used by the model.
#[pyclass(extends=PyModel, module = "tokenizers.models", name = "WordLevel")]
pub struct PyWordLevel {}
#[pymethods]
impl PyWordLevel {
#[getter]
fn get_unk_token(self_: PyRef<Self>) -> String {
getter!(self_, WordLevel, unk_token.clone())
}
#[setter]
fn set_unk_token(self_: PyRef<Self>, unk_token: String) {
setter!(self_, WordLevel, unk_token, unk_token);
}
#[new]
#[pyo3(signature = (vocab=None, unk_token = None), text_signature = "(self, vocab, unk_token)")]
fn new(
py: Python<'_>,
vocab: Option<PyVocab>,
unk_token: Option<String>,
) -> PyResult<(Self, PyModel)> {
let mut builder = WordLevel::builder();
if let Some(vocab) = vocab {
match vocab {
PyVocab::Vocab(vocab) => {
builder = builder.vocab(vocab);
}
PyVocab::Filename(vocab_filename) => {
deprecation_warning(
py,
"0.9.0",
"WordLevel.__init__ will not create from files anymore, \
try `WordLevel.from_file` instead",
)?;
builder = builder.files(vocab_filename.to_string());
}
};
}
if let Some(unk_token) = unk_token {
builder = builder.unk_token(unk_token);
}
Ok((
PyWordLevel {},
builder
.build()
.map_err(|e| exceptions::PyException::new_err(e.to_string()))?
.into(),
))
}
/// Read a :obj:`vocab.json`
///
/// This method provides a way to read and parse the content of a vocabulary file,
/// returning the relevant data structures. If you want to instantiate some WordLevel models
/// from memory, this method gives you the expected input from the standard files.
///
/// Args:
/// vocab (:obj:`str`):
/// The path to a :obj:`vocab.json` file
///
/// Returns:
/// :obj:`Dict[str, int]`: The vocabulary as a :obj:`dict`
#[staticmethod]
#[pyo3(text_signature = "(vocab)")]
fn read_file(vocab: &str) -> PyResult<Vocab> {
WordLevel::read_file(vocab).map_err(|e| {
exceptions::PyException::new_err(format!("Error while reading WordLevel file: {}", e))
})
}
/// Instantiate a WordLevel model from the given file
///
/// This method is roughly equivalent to doing::
///
/// vocab = WordLevel.read_file(vocab_filename)
/// wordlevel = WordLevel(vocab)
///
/// If you don't need to keep the :obj:`vocab` values lying around, this method is
/// more optimized than manually calling :meth:`~tokenizers.models.WordLevel.read_file` to
/// initialize a :class:`~tokenizers.models.WordLevel`
///
/// Args:
/// vocab (:obj:`str`):
/// The path to a :obj:`vocab.json` file
///
/// Returns:
/// :class:`~tokenizers.models.WordLevel`: An instance of WordLevel loaded from file
#[classmethod]
#[pyo3(signature = (vocab, unk_token = None))]
#[pyo3(text_signature = "(vocab, unk_token)")]
fn from_file(
_cls: &PyType,
py: Python,
vocab: &str,
unk_token: Option<String>,
) -> PyResult<Py<Self>> {
let vocab = WordLevel::read_file(vocab).map_err(|e| {
exceptions::PyException::new_err(format!("Error while reading WordLevel file: {}", e))
})?;
Py::new(
py,
PyWordLevel::new(py, Some(PyVocab::Vocab(vocab)), unk_token)?,
)
}
}
/// An implementation of the Unigram algorithm
///
/// Args:
/// vocab (:obj:`List[Tuple[str, float]]`, `optional`, `optional`):
/// A list of vocabulary items and their relative score [("am", -0.2442),...]
#[pyclass(extends=PyModel, module = "tokenizers.models", name = "Unigram")]
pub struct PyUnigram {}
#[pymethods]
impl PyUnigram {
#[new]
#[pyo3(text_signature = "(self, vocab, unk_id, byte_fallback)")]
fn new(
vocab: Option<Vec<(String, f64)>>,
unk_id: Option<usize>,
byte_fallback: Option<bool>,
) -> PyResult<(Self, PyModel)> {
match (vocab, unk_id, byte_fallback) {
(Some(vocab), unk_id, byte_fallback) => {
let model =
Unigram::from(vocab, unk_id, byte_fallback.unwrap_or(false)).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while loading Unigram: {}",
e
))
})?;
Ok((PyUnigram {}, model.into()))
}
(None, None, _) => Ok((PyUnigram {}, Unigram::default().into())),
_ => Err(exceptions::PyValueError::new_err(
"`vocab` and `unk_id` must be both specified",
)),
}
}
}
/// Models Module
#[pymodule]
pub fn models(_py: Python, m: &PyModule) -> PyResult<()> {
m.add_class::<PyModel>()?;
m.add_class::<PyBPE>()?;
m.add_class::<PyWordPiece>()?;
m.add_class::<PyWordLevel>()?;
m.add_class::<PyUnigram>()?;
Ok(())
}
#[cfg(test)]
mod test {
use crate::models::PyModel;
use pyo3::prelude::*;
use tk::models::bpe::BPE;
use tk::models::ModelWrapper;
#[test]
fn get_subtype() {
Python::with_gil(|py| {
let py_model = PyModel::from(BPE::default());
let py_bpe = py_model.get_as_subtype(py).unwrap();
assert_eq!("BPE", py_bpe.as_ref(py).get_type().name().unwrap());
})
}
#[test]
fn serialize() {
let rs_bpe = BPE::default();
let rs_bpe_ser = serde_json::to_string(&rs_bpe).unwrap();
let rs_wrapper: ModelWrapper = rs_bpe.into();
let rs_wrapper_ser = serde_json::to_string(&rs_wrapper).unwrap();
let py_model = PyModel::from(rs_wrapper);
let py_ser = serde_json::to_string(&py_model).unwrap();
assert_eq!(py_ser, rs_bpe_ser);
assert_eq!(py_ser, rs_wrapper_ser);
let py_model: PyModel = serde_json::from_str(&rs_bpe_ser).unwrap();
match *py_model.model.as_ref().read().unwrap() {
ModelWrapper::BPE(_) => (),
_ => panic!("Expected Bert postprocessor."),
};
let py_model: PyModel = serde_json::from_str(&rs_wrapper_ser).unwrap();
match *py_model.model.as_ref().read().unwrap() {
ModelWrapper::BPE(_) => (),
_ => panic!("Expected Bert postprocessor."),
};
}
}
| 0
|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/src/pre_tokenizers.rs
|
use std::sync::{Arc, RwLock};
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use serde::ser::SerializeStruct;
use serde::{Deserialize, Deserializer, Serialize, Serializer};
use tk::normalizer::SplitDelimiterBehavior;
use tk::pre_tokenizers::bert::BertPreTokenizer;
use tk::pre_tokenizers::byte_level::ByteLevel;
use tk::pre_tokenizers::delimiter::CharDelimiterSplit;
use tk::pre_tokenizers::digits::Digits;
use tk::pre_tokenizers::metaspace::{Metaspace, PrependScheme};
use tk::pre_tokenizers::punctuation::Punctuation;
use tk::pre_tokenizers::split::Split;
use tk::pre_tokenizers::unicode_scripts::UnicodeScripts;
use tk::pre_tokenizers::whitespace::{Whitespace, WhitespaceSplit};
use tk::pre_tokenizers::PreTokenizerWrapper;
use tk::tokenizer::Offsets;
use tk::{PreTokenizedString, PreTokenizer};
use tokenizers as tk;
use super::error::ToPyResult;
use super::utils::*;
/// Base class for all pre-tokenizers
///
/// This class is not supposed to be instantiated directly. Instead, any implementation of a
/// PreTokenizer will return an instance of this class when instantiated.
#[pyclass(
dict,
module = "tokenizers.pre_tokenizers",
name = "PreTokenizer",
subclass
)]
#[derive(Clone, Serialize, Deserialize)]
pub struct PyPreTokenizer {
#[serde(flatten)]
pub(crate) pretok: PyPreTokenizerTypeWrapper,
}
impl PyPreTokenizer {
#[allow(dead_code)]
pub(crate) fn new(pretok: PyPreTokenizerTypeWrapper) -> Self {
PyPreTokenizer { pretok }
}
pub(crate) fn get_as_subtype(&self, py: Python<'_>) -> PyResult<PyObject> {
let base = self.clone();
Ok(match &self.pretok {
PyPreTokenizerTypeWrapper::Sequence(_) => {
Py::new(py, (PySequence {}, base))?.into_py(py)
}
PyPreTokenizerTypeWrapper::Single(ref inner) => {
match &*inner.as_ref().read().unwrap() {
PyPreTokenizerWrapper::Custom(_) => Py::new(py, base)?.into_py(py),
PyPreTokenizerWrapper::Wrapped(inner) => match inner {
PreTokenizerWrapper::Whitespace(_) => {
Py::new(py, (PyWhitespace {}, base))?.into_py(py)
}
PreTokenizerWrapper::Split(_) => {
Py::new(py, (PySplit {}, base))?.into_py(py)
}
PreTokenizerWrapper::Punctuation(_) => {
Py::new(py, (PyPunctuation {}, base))?.into_py(py)
}
PreTokenizerWrapper::Sequence(_) => {
Py::new(py, (PySequence {}, base))?.into_py(py)
}
PreTokenizerWrapper::Metaspace(_) => {
Py::new(py, (PyMetaspace {}, base))?.into_py(py)
}
PreTokenizerWrapper::Delimiter(_) => {
Py::new(py, (PyCharDelimiterSplit {}, base))?.into_py(py)
}
PreTokenizerWrapper::WhitespaceSplit(_) => {
Py::new(py, (PyWhitespaceSplit {}, base))?.into_py(py)
}
PreTokenizerWrapper::ByteLevel(_) => {
Py::new(py, (PyByteLevel {}, base))?.into_py(py)
}
PreTokenizerWrapper::BertPreTokenizer(_) => {
Py::new(py, (PyBertPreTokenizer {}, base))?.into_py(py)
}
PreTokenizerWrapper::Digits(_) => {
Py::new(py, (PyDigits {}, base))?.into_py(py)
}
PreTokenizerWrapper::UnicodeScripts(_) => {
Py::new(py, (PyUnicodeScripts {}, base))?.into_py(py)
}
},
}
}
})
}
}
impl PreTokenizer for PyPreTokenizer {
fn pre_tokenize(&self, normalized: &mut PreTokenizedString) -> tk::Result<()> {
self.pretok.pre_tokenize(normalized)
}
}
#[pymethods]
impl PyPreTokenizer {
#[staticmethod]
fn custom(pretok: PyObject) -> Self {
PyPreTokenizer {
pretok: PyPreTokenizerWrapper::Custom(CustomPreTokenizer::new(pretok)).into(),
}
}
fn __getstate__(&self, py: Python) -> PyResult<PyObject> {
let data = serde_json::to_string(&self.pretok).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while attempting to pickle PreTokenizer: {}",
e
))
})?;
Ok(PyBytes::new(py, data.as_bytes()).to_object(py))
}
fn __setstate__(&mut self, py: Python, state: PyObject) -> PyResult<()> {
match state.extract::<&PyBytes>(py) {
Ok(s) => {
let unpickled = serde_json::from_slice(s.as_bytes()).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while attempting to unpickle PreTokenizer: {}",
e
))
})?;
self.pretok = unpickled;
Ok(())
}
Err(e) => Err(e),
}
}
/// Pre-tokenize a :class:`~tokenizers.PyPreTokenizedString` in-place
///
/// This method allows to modify a :class:`~tokenizers.PreTokenizedString` to
/// keep track of the pre-tokenization, and leverage the capabilities of the
/// :class:`~tokenizers.PreTokenizedString`. If you just want to see the result of
/// the pre-tokenization of a raw string, you can use
/// :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize_str`
///
/// Args:
/// pretok (:class:`~tokenizers.PreTokenizedString):
/// The pre-tokenized string on which to apply this
/// :class:`~tokenizers.pre_tokenizers.PreTokenizer`
#[pyo3(text_signature = "(self, pretok)")]
fn pre_tokenize(&self, pretok: &mut PyPreTokenizedString) -> PyResult<()> {
ToPyResult(self.pretok.pre_tokenize(&mut pretok.pretok)).into()
}
/// Pre tokenize the given string
///
/// This method provides a way to visualize the effect of a
/// :class:`~tokenizers.pre_tokenizers.PreTokenizer` but it does not keep track of the
/// alignment, nor does it provide all the capabilities of the
/// :class:`~tokenizers.PreTokenizedString`. If you need some of these, you can use
/// :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize`
///
/// Args:
/// sequence (:obj:`str`):
/// A string to pre-tokeize
///
/// Returns:
/// :obj:`List[Tuple[str, Offsets]]`:
/// A list of tuple with the pre-tokenized parts and their offsets
#[pyo3(text_signature = "(self, sequence)")]
fn pre_tokenize_str(&self, s: &str) -> PyResult<Vec<(String, Offsets)>> {
let mut pretokenized = tk::tokenizer::PreTokenizedString::from(s);
ToPyResult(self.pretok.pre_tokenize(&mut pretokenized)).into_py()?;
Ok(pretokenized
.get_splits(tk::OffsetReferential::Original, tk::OffsetType::Char)
.into_iter()
.map(|(s, o, _)| (s.to_owned(), o))
.collect())
}
}
macro_rules! getter {
($self: ident, $variant: ident, $($name: tt)+) => {{
let super_ = $self.as_ref();
if let PyPreTokenizerTypeWrapper::Single(ref single) = super_.pretok {
if let PyPreTokenizerWrapper::Wrapped(PreTokenizerWrapper::$variant(ref pretok)) =
*single.read().unwrap() {
pretok.$($name)+
} else {
unreachable!()
}
} else {
unreachable!()
}
}};
}
macro_rules! setter {
($self: ident, $variant: ident, $name: ident, $value: expr) => {{
let super_ = $self.as_ref();
if let PyPreTokenizerTypeWrapper::Single(ref single) = super_.pretok {
if let PyPreTokenizerWrapper::Wrapped(PreTokenizerWrapper::$variant(ref mut pretok)) =
*single.write().unwrap()
{
pretok.$name = $value;
}
}
}};
($self: ident, $variant: ident, @$name: ident, $value: expr) => {{
let super_ = $self.as_ref();
if let PyPreTokenizerTypeWrapper::Single(ref single) = super_.pretok {
if let PyPreTokenizerWrapper::Wrapped(PreTokenizerWrapper::$variant(ref mut pretok)) =
*single.write().unwrap()
{
pretok.$name($value);
}
}
}};
}
/// ByteLevel PreTokenizer
///
/// This pre-tokenizer takes care of replacing all bytes of the given string
/// with a corresponding representation, as well as splitting into words.
///
/// Args:
/// add_prefix_space (:obj:`bool`, `optional`, defaults to :obj:`True`):
/// Whether to add a space to the first word if there isn't already one. This
/// lets us treat `hello` exactly like `say hello`.
/// use_regex (:obj:`bool`, `optional`, defaults to :obj:`True`):
/// Set this to :obj:`False` to prevent this `pre_tokenizer` from using
/// the GPT2 specific regexp for spliting on whitespace.
#[pyclass(extends=PyPreTokenizer, module = "tokenizers.pre_tokenizers", name = "ByteLevel")]
pub struct PyByteLevel {}
#[pymethods]
impl PyByteLevel {
#[getter]
fn get_add_prefix_space(self_: PyRef<Self>) -> bool {
getter!(self_, ByteLevel, add_prefix_space)
}
#[setter]
fn set_add_prefix_space(self_: PyRef<Self>, add_prefix_space: bool) {
setter!(self_, ByteLevel, add_prefix_space, add_prefix_space);
}
#[getter]
fn get_use_regex(self_: PyRef<Self>) -> bool {
getter!(self_, ByteLevel, use_regex)
}
#[setter]
fn set_use_regex(self_: PyRef<Self>, use_regex: bool) {
setter!(self_, ByteLevel, use_regex, use_regex);
}
#[new]
#[pyo3(signature = (add_prefix_space = true, use_regex = true, **_kwargs), text_signature = "(self, add_prefix_space=True, use_regex=True)")]
fn new(
add_prefix_space: bool,
use_regex: bool,
_kwargs: Option<&PyDict>,
) -> (Self, PyPreTokenizer) {
(
PyByteLevel {},
ByteLevel::default()
.add_prefix_space(add_prefix_space)
.use_regex(use_regex)
.into(),
)
}
/// Returns the alphabet used by this PreTokenizer.
///
/// Since the ByteLevel works as its name suggests, at the byte level, it
/// encodes each byte value to a unique visible character. This means that there is a
/// total of 256 different characters composing this alphabet.
///
/// Returns:
/// :obj:`List[str]`: A list of characters that compose the alphabet
#[staticmethod]
#[pyo3(text_signature = "()")]
fn alphabet() -> Vec<String> {
ByteLevel::alphabet()
.into_iter()
.map(|c| c.to_string())
.collect()
}
}
/// This pre-tokenizer simply splits using the following regex: `\w+|[^\w\s]+`
#[pyclass(extends=PyPreTokenizer, module = "tokenizers.pre_tokenizers", name = "Whitespace")]
pub struct PyWhitespace {}
#[pymethods]
impl PyWhitespace {
#[new]
#[pyo3(text_signature = "(self)")]
fn new() -> (Self, PyPreTokenizer) {
(PyWhitespace {}, Whitespace {}.into())
}
}
/// This pre-tokenizer simply splits on the whitespace. Works like `.split()`
#[pyclass(extends=PyPreTokenizer, module = "tokenizers.pre_tokenizers", name = "WhitespaceSplit")]
pub struct PyWhitespaceSplit {}
#[pymethods]
impl PyWhitespaceSplit {
#[new]
#[pyo3(text_signature = "(self)")]
fn new() -> (Self, PyPreTokenizer) {
(PyWhitespaceSplit {}, WhitespaceSplit.into())
}
}
/// Split PreTokenizer
///
/// This versatile pre-tokenizer splits using the provided pattern and
/// according to the provided behavior. The pattern can be inverted by
/// making use of the invert flag.
///
/// Args:
/// pattern (:obj:`str` or :class:`~tokenizers.Regex`):
/// A pattern used to split the string. Usually a string or a a regex built with `tokenizers.Regex`
///
/// behavior (:class:`~tokenizers.SplitDelimiterBehavior`):
/// The behavior to use when splitting.
/// Choices: "removed", "isolated", "merged_with_previous", "merged_with_next",
/// "contiguous"
///
/// invert (:obj:`bool`, `optional`, defaults to :obj:`False`):
/// Whether to invert the pattern.
#[pyclass(extends=PyPreTokenizer, module = "tokenizers.pre_tokenizers", name = "Split")]
pub struct PySplit {}
#[pymethods]
impl PySplit {
#[new]
#[pyo3(signature = (pattern, behavior, invert = false), text_signature = "(self, pattern, behavior, invert=False)")]
fn new(
pattern: PyPattern,
behavior: PySplitDelimiterBehavior,
invert: bool,
) -> PyResult<(Self, PyPreTokenizer)> {
Ok((
PySplit {},
ToPyResult(Split::new(pattern, behavior.into(), invert))
.into_py()?
.into(),
))
}
fn __getnewargs__<'p>(&self, py: Python<'p>) -> &'p PyTuple {
PyTuple::new(py, [" ", "removed"])
}
}
/// This pre-tokenizer simply splits on the provided char. Works like `.split(delimiter)`
///
/// Args:
/// delimiter: str:
/// The delimiter char that will be used to split input
#[pyclass(extends=PyPreTokenizer, module = "tokenizers.pre_tokenizers", name = "CharDelimiterSplit")]
pub struct PyCharDelimiterSplit {}
#[pymethods]
impl PyCharDelimiterSplit {
#[getter]
fn get_delimiter(self_: PyRef<Self>) -> String {
getter!(self_, Delimiter, delimiter.to_string())
}
#[setter]
fn set_delimiter(self_: PyRef<Self>, delimiter: PyChar) {
setter!(self_, Delimiter, delimiter, delimiter.0);
}
#[new]
#[pyo3(text_signature = None)]
pub fn new(delimiter: PyChar) -> PyResult<(Self, PyPreTokenizer)> {
Ok((
PyCharDelimiterSplit {},
CharDelimiterSplit::new(delimiter.0).into(),
))
}
fn __getnewargs__<'p>(&self, py: Python<'p>) -> &'p PyTuple {
PyTuple::new(py, [" "])
}
}
/// BertPreTokenizer
///
/// This pre-tokenizer splits tokens on spaces, and also on punctuation.
/// Each occurence of a punctuation character will be treated separately.
#[pyclass(extends=PyPreTokenizer, module = "tokenizers.pre_tokenizers", name = "BertPreTokenizer")]
pub struct PyBertPreTokenizer {}
#[pymethods]
impl PyBertPreTokenizer {
#[new]
#[pyo3(text_signature = "(self)")]
fn new() -> (Self, PyPreTokenizer) {
(PyBertPreTokenizer {}, BertPreTokenizer.into())
}
}
/// This pre-tokenizer simply splits on punctuation as individual characters.
///
/// Args:
/// behavior (:class:`~tokenizers.SplitDelimiterBehavior`):
/// The behavior to use when splitting.
/// Choices: "removed", "isolated" (default), "merged_with_previous", "merged_with_next",
/// "contiguous"
#[pyclass(extends=PyPreTokenizer, module = "tokenizers.pre_tokenizers", name = "Punctuation")]
pub struct PyPunctuation {}
#[pymethods]
impl PyPunctuation {
#[new]
#[pyo3( signature = (behavior = PySplitDelimiterBehavior(SplitDelimiterBehavior::Isolated)), text_signature = "(self, behavior=\"isolated\")")]
fn new(behavior: PySplitDelimiterBehavior) -> (Self, PyPreTokenizer) {
(PyPunctuation {}, Punctuation::new(behavior.into()).into())
}
}
/// This pre-tokenizer composes other pre_tokenizers and applies them in sequence
#[pyclass(extends=PyPreTokenizer, module = "tokenizers.pre_tokenizers", name = "Sequence")]
pub struct PySequence {}
#[pymethods]
impl PySequence {
#[new]
#[pyo3(text_signature = "(self, pretokenizers)")]
fn new(pre_tokenizers: &PyList) -> PyResult<(Self, PyPreTokenizer)> {
let mut sequence = Vec::with_capacity(pre_tokenizers.len());
for n in pre_tokenizers.iter() {
let pretokenizer: PyRef<PyPreTokenizer> = n.extract()?;
match &pretokenizer.pretok {
PyPreTokenizerTypeWrapper::Sequence(inner) => {
sequence.extend(inner.iter().cloned())
}
PyPreTokenizerTypeWrapper::Single(inner) => sequence.push(inner.clone()),
}
}
Ok((
PySequence {},
PyPreTokenizer::new(PyPreTokenizerTypeWrapper::Sequence(sequence)),
))
}
fn __getnewargs__<'p>(&self, py: Python<'p>) -> &'p PyTuple {
PyTuple::new(py, [PyList::empty(py)])
}
}
fn from_string(string: String) -> Result<PrependScheme, PyErr> {
let scheme = match string.as_str() {
"first" => PrependScheme::First,
"never" => PrependScheme::Never,
"always" => PrependScheme::Always,
_ => {
return Err(exceptions::PyValueError::new_err(format!(
"{} is an unknown variant, should be one of ['first', 'never', 'always']",
string
)));
}
};
Ok(scheme)
}
/// Metaspace pre-tokenizer
///
/// This pre-tokenizer replaces any whitespace by the provided replacement character.
/// It then tries to split on these spaces.
///
/// Args:
/// replacement (:obj:`str`, `optional`, defaults to :obj:`▁`):
/// The replacement character. Must be exactly one character. By default we
/// use the `▁` (U+2581) meta symbol (Same as in SentencePiece).
///
/// add_prefix_space (:obj:`bool`, `optional`, defaults to :obj:`True`):
/// Whether to add a space to the first word if there isn't already one. This
/// lets us treat `hello` exactly like `say hello`.
#[pyclass(extends=PyPreTokenizer, module = "tokenizers.pre_tokenizers", name = "Metaspace")]
pub struct PyMetaspace {}
#[pymethods]
impl PyMetaspace {
#[getter]
fn get_replacement(self_: PyRef<Self>) -> String {
getter!(self_, Metaspace, get_replacement().to_string())
}
#[setter]
fn set_replacement(self_: PyRef<Self>, replacement: PyChar) {
setter!(self_, Metaspace, @set_replacement, replacement.0);
}
#[getter]
fn get_add_prefix_space(self_: PyRef<Self>) -> bool {
getter!(self_, Metaspace, add_prefix_space)
}
#[setter]
fn set_add_prefix_space(self_: PyRef<Self>, add_prefix_space: bool) {
setter!(self_, Metaspace, add_prefix_space, add_prefix_space);
}
#[getter]
fn get_prepend_scheme(self_: PyRef<Self>) -> String {
// Assuming Metaspace has a method to get the prepend_scheme as a string
let scheme: PrependScheme = getter!(self_, Metaspace, get_prepend_scheme());
match scheme {
PrependScheme::First => "first",
PrependScheme::Never => "never",
PrependScheme::Always => "always",
}
.to_string()
}
#[setter]
fn set_prepend_scheme(self_: PyRef<Self>, prepend_scheme: String) -> PyResult<()> {
let scheme = from_string(prepend_scheme)?;
setter!(self_, Metaspace, @set_prepend_scheme, scheme);
Ok(())
}
#[new]
#[pyo3(signature = (replacement = PyChar('▁'), add_prefix_space = true, prepend_scheme=None, **_kwargs), text_signature = "(self, replacement=\"_\", add_prefix_space=True)")]
fn new(
replacement: PyChar,
add_prefix_space: bool,
prepend_scheme: Option<String>,
_kwargs: Option<&PyDict>,
) -> PyResult<(Self, PyPreTokenizer)> {
// Create a new Metaspace instance
let mut new_instance: Metaspace = Metaspace::new(replacement.0, add_prefix_space);
// If a prepend scheme is provided, set it
if let Some(prepend_scheme) = prepend_scheme {
match from_string(prepend_scheme) {
Ok(prepend_scheme_enum) => new_instance.set_prepend_scheme(prepend_scheme_enum),
Err(err) => return Err(err),
}
}
Ok((PyMetaspace {}, new_instance.into()))
}
}
/// This pre-tokenizer simply splits using the digits in separate tokens
///
/// Args:
/// individual_digits (:obj:`bool`, `optional`, defaults to :obj:`False`):
/// If set to True, digits will each be separated as follows::
///
/// "Call 123 please" -> "Call ", "1", "2", "3", " please"
///
/// If set to False, digits will grouped as follows::
///
/// "Call 123 please" -> "Call ", "123", " please"
#[pyclass(extends=PyPreTokenizer, module = "tokenizers.pre_tokenizers", name = "Digits")]
pub struct PyDigits {}
#[pymethods]
impl PyDigits {
#[getter]
fn get_individual_digits(self_: PyRef<Self>) -> bool {
getter!(self_, Digits, individual_digits)
}
#[setter]
fn set_individual_digits(self_: PyRef<Self>, individual_digits: bool) {
setter!(self_, Digits, individual_digits, individual_digits);
}
#[new]
#[pyo3(signature = (individual_digits = false), text_signature = "(self, individual_digits=False)")]
fn new(individual_digits: bool) -> (Self, PyPreTokenizer) {
(PyDigits {}, Digits::new(individual_digits).into())
}
}
/// This pre-tokenizer splits on characters that belong to different language family
/// It roughly follows https://github.com/google/sentencepiece/blob/master/data/Scripts.txt
/// Actually Hiragana and Katakana are fused with Han, and 0x30FC is Han too.
/// This mimicks SentencePiece Unigram implementation.
#[pyclass(extends=PyPreTokenizer, module = "tokenizers.pre_tokenizers", name = "UnicodeScripts")]
pub struct PyUnicodeScripts {}
#[pymethods]
impl PyUnicodeScripts {
#[new]
#[pyo3(text_signature = "(self)")]
fn new() -> (Self, PyPreTokenizer) {
(PyUnicodeScripts {}, UnicodeScripts::new().into())
}
}
#[derive(Clone)]
pub(crate) struct CustomPreTokenizer {
inner: PyObject,
}
impl CustomPreTokenizer {
pub fn new(inner: PyObject) -> Self {
Self { inner }
}
}
impl tk::tokenizer::PreTokenizer for CustomPreTokenizer {
fn pre_tokenize(&self, sentence: &mut PreTokenizedString) -> tk::Result<()> {
Python::with_gil(|py| {
let pretok = PyPreTokenizedStringRefMut::new(sentence);
let py_pretok = self.inner.as_ref(py);
py_pretok.call_method("pre_tokenize", (pretok.get(),), None)?;
Ok(())
})
}
}
impl Serialize for CustomPreTokenizer {
fn serialize<S>(&self, _serializer: S) -> Result<S::Ok, S::Error>
where
S: Serializer,
{
Err(serde::ser::Error::custom(
"Custom PreTokenizer cannot be serialized",
))
}
}
impl<'de> Deserialize<'de> for CustomPreTokenizer {
fn deserialize<D>(_deserializer: D) -> Result<Self, D::Error>
where
D: Deserializer<'de>,
{
Err(serde::de::Error::custom(
"Custom PreTokenizer cannot be deserialized",
))
}
}
#[derive(Clone, Deserialize)]
#[serde(untagged)]
pub(crate) enum PyPreTokenizerWrapper {
Custom(CustomPreTokenizer),
Wrapped(PreTokenizerWrapper),
}
impl Serialize for PyPreTokenizerWrapper {
fn serialize<S>(&self, serializer: S) -> Result<<S as Serializer>::Ok, <S as Serializer>::Error>
where
S: Serializer,
{
match self {
PyPreTokenizerWrapper::Wrapped(inner) => inner.serialize(serializer),
PyPreTokenizerWrapper::Custom(inner) => inner.serialize(serializer),
}
}
}
#[derive(Clone, Deserialize)]
#[serde(untagged)]
pub(crate) enum PyPreTokenizerTypeWrapper {
Sequence(Vec<Arc<RwLock<PyPreTokenizerWrapper>>>),
Single(Arc<RwLock<PyPreTokenizerWrapper>>),
}
impl Serialize for PyPreTokenizerTypeWrapper {
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
where
S: Serializer,
{
match self {
PyPreTokenizerTypeWrapper::Sequence(seq) => {
let mut ser = serializer.serialize_struct("Sequence", 2)?;
ser.serialize_field("type", "Sequence")?;
ser.serialize_field("pretokenizers", seq)?;
ser.end()
}
PyPreTokenizerTypeWrapper::Single(inner) => inner.serialize(serializer),
}
}
}
impl<I> From<I> for PyPreTokenizerWrapper
where
I: Into<PreTokenizerWrapper>,
{
fn from(pretok: I) -> Self {
PyPreTokenizerWrapper::Wrapped(pretok.into())
}
}
impl<I> From<I> for PyPreTokenizerTypeWrapper
where
I: Into<PyPreTokenizerWrapper>,
{
fn from(pretok: I) -> Self {
PyPreTokenizerTypeWrapper::Single(Arc::new(RwLock::new(pretok.into())))
}
}
impl<I> From<I> for PyPreTokenizer
where
I: Into<PreTokenizerWrapper>,
{
fn from(pretok: I) -> Self {
PyPreTokenizer {
pretok: pretok.into().into(),
}
}
}
impl PreTokenizer for PyPreTokenizerTypeWrapper {
fn pre_tokenize(&self, pretok: &mut PreTokenizedString) -> tk::Result<()> {
match self {
PyPreTokenizerTypeWrapper::Single(inner) => inner.read().unwrap().pre_tokenize(pretok),
PyPreTokenizerTypeWrapper::Sequence(inner) => inner
.iter()
.try_for_each(|n| n.read().unwrap().pre_tokenize(pretok)),
}
}
}
impl PreTokenizer for PyPreTokenizerWrapper {
fn pre_tokenize(&self, pretok: &mut PreTokenizedString) -> tk::Result<()> {
match self {
PyPreTokenizerWrapper::Wrapped(inner) => inner.pre_tokenize(pretok),
PyPreTokenizerWrapper::Custom(inner) => inner.pre_tokenize(pretok),
}
}
}
/// PreTokenizers Module
#[pymodule]
pub fn pre_tokenizers(_py: Python, m: &PyModule) -> PyResult<()> {
m.add_class::<PyPreTokenizer>()?;
m.add_class::<PyByteLevel>()?;
m.add_class::<PyWhitespace>()?;
m.add_class::<PyWhitespaceSplit>()?;
m.add_class::<PySplit>()?;
m.add_class::<PyBertPreTokenizer>()?;
m.add_class::<PyMetaspace>()?;
m.add_class::<PyCharDelimiterSplit>()?;
m.add_class::<PyPunctuation>()?;
m.add_class::<PySequence>()?;
m.add_class::<PyDigits>()?;
m.add_class::<PyUnicodeScripts>()?;
Ok(())
}
#[cfg(test)]
mod test {
use pyo3::prelude::*;
use tk::pre_tokenizers::sequence::Sequence;
use tk::pre_tokenizers::whitespace::{Whitespace, WhitespaceSplit};
use tk::pre_tokenizers::PreTokenizerWrapper;
use crate::pre_tokenizers::{
CustomPreTokenizer, PyPreTokenizer, PyPreTokenizerTypeWrapper, PyPreTokenizerWrapper,
};
#[test]
fn get_subtype() {
Python::with_gil(|py| {
let py_norm = PyPreTokenizer::new(Whitespace {}.into());
let py_wsp = py_norm.get_as_subtype(py).unwrap();
assert_eq!("Whitespace", py_wsp.as_ref(py).get_type().name().unwrap());
})
}
#[test]
fn serialize() {
let py_wrapped: PyPreTokenizerWrapper = Whitespace {}.into();
let py_ser = serde_json::to_string(&py_wrapped).unwrap();
let rs_wrapped = PreTokenizerWrapper::Whitespace(Whitespace {});
let rs_ser = serde_json::to_string(&rs_wrapped).unwrap();
assert_eq!(py_ser, rs_ser);
let py_pretok: PyPreTokenizer = serde_json::from_str(&rs_ser).unwrap();
match py_pretok.pretok {
PyPreTokenizerTypeWrapper::Single(inner) => match *inner.as_ref().read().unwrap() {
PyPreTokenizerWrapper::Wrapped(PreTokenizerWrapper::Whitespace(_)) => {}
_ => panic!("Expected Whitespace"),
},
_ => panic!("Expected wrapped, not custom."),
}
let py_seq: PyPreTokenizerWrapper =
Sequence::new(vec![Whitespace {}.into(), WhitespaceSplit.into()]).into();
let py_wrapper_ser = serde_json::to_string(&py_seq).unwrap();
let rs_wrapped = PreTokenizerWrapper::Sequence(Sequence::new(vec![
Whitespace {}.into(),
WhitespaceSplit.into(),
]));
let rs_ser = serde_json::to_string(&rs_wrapped).unwrap();
assert_eq!(py_wrapper_ser, rs_ser);
let py_seq = PyPreTokenizer::new(py_seq.into());
let py_ser = serde_json::to_string(&py_seq).unwrap();
assert_eq!(py_wrapper_ser, py_ser);
let obj = Python::with_gil(|py| {
let py_wsp = PyPreTokenizer::new(Whitespace {}.into());
let obj: PyObject = Py::new(py, py_wsp).unwrap().into_py(py);
obj
});
let py_seq: PyPreTokenizerWrapper =
PyPreTokenizerWrapper::Custom(CustomPreTokenizer::new(obj));
assert!(serde_json::to_string(&py_seq).is_err());
}
}
| 0
|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/src/processors.rs
|
use std::convert::TryInto;
use std::sync::Arc;
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use crate::encoding::PyEncoding;
use crate::error::ToPyResult;
use serde::{Deserialize, Serialize};
use tk::processors::bert::BertProcessing;
use tk::processors::byte_level::ByteLevel;
use tk::processors::roberta::RobertaProcessing;
use tk::processors::sequence::Sequence;
use tk::processors::template::{SpecialToken, Template};
use tk::processors::PostProcessorWrapper;
use tk::{Encoding, PostProcessor};
use tokenizers as tk;
/// Base class for all post-processors
///
/// This class is not supposed to be instantiated directly. Instead, any implementation of
/// a PostProcessor will return an instance of this class when instantiated.
#[pyclass(
dict,
module = "tokenizers.processors",
name = "PostProcessor",
subclass
)]
#[derive(Clone, Deserialize, Serialize)]
pub struct PyPostProcessor {
#[serde(flatten)]
pub processor: Arc<PostProcessorWrapper>,
}
impl PyPostProcessor {
pub fn new(processor: Arc<PostProcessorWrapper>) -> Self {
PyPostProcessor { processor }
}
pub(crate) fn get_as_subtype(&self, py: Python<'_>) -> PyResult<PyObject> {
let base = self.clone();
Ok(match self.processor.as_ref() {
PostProcessorWrapper::ByteLevel(_) => Py::new(py, (PyByteLevel {}, base))?.into_py(py),
PostProcessorWrapper::Bert(_) => Py::new(py, (PyBertProcessing {}, base))?.into_py(py),
PostProcessorWrapper::Roberta(_) => {
Py::new(py, (PyRobertaProcessing {}, base))?.into_py(py)
}
PostProcessorWrapper::Template(_) => {
Py::new(py, (PyTemplateProcessing {}, base))?.into_py(py)
}
PostProcessorWrapper::Sequence(_) => Py::new(py, (PySequence {}, base))?.into_py(py),
})
}
}
impl PostProcessor for PyPostProcessor {
fn added_tokens(&self, is_pair: bool) -> usize {
self.processor.added_tokens(is_pair)
}
fn process_encodings(
&self,
encodings: Vec<Encoding>,
add_special_tokens: bool,
) -> tk::Result<Vec<Encoding>> {
self.processor
.process_encodings(encodings, add_special_tokens)
}
}
#[pymethods]
impl PyPostProcessor {
fn __getstate__(&self, py: Python) -> PyResult<PyObject> {
let data = serde_json::to_string(self.processor.as_ref()).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while attempting to pickle PostProcessor: {}",
e
))
})?;
Ok(PyBytes::new(py, data.as_bytes()).to_object(py))
}
fn __setstate__(&mut self, py: Python, state: PyObject) -> PyResult<()> {
match state.extract::<&PyBytes>(py) {
Ok(s) => {
self.processor = serde_json::from_slice(s.as_bytes()).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while attempting to unpickle PostProcessor: {}",
e
))
})?;
Ok(())
}
Err(e) => Err(e),
}
}
/// Return the number of special tokens that would be added for single/pair sentences.
///
/// Args:
/// is_pair (:obj:`bool`):
/// Whether the input would be a pair of sequences
///
/// Returns:
/// :obj:`int`: The number of tokens to add
#[pyo3(text_signature = "(self, is_pair)")]
fn num_special_tokens_to_add(&self, is_pair: bool) -> usize {
self.processor.added_tokens(is_pair)
}
/// Post-process the given encodings, generating the final one
///
/// Args:
/// encoding (:class:`~tokenizers.Encoding`):
/// The encoding for the first sequence
///
/// pair (:class:`~tokenizers.Encoding`, `optional`):
/// The encoding for the pair sequence
///
/// add_special_tokens (:obj:`bool`):
/// Whether to add the special tokens
///
/// Return:
/// :class:`~tokenizers.Encoding`: The final encoding
#[pyo3(signature = (encoding, pair = None, add_special_tokens = true))]
#[pyo3(text_signature = "(self, encoding, pair=None, add_special_tokens=True)")]
fn process(
&self,
encoding: &PyEncoding,
pair: Option<&PyEncoding>,
add_special_tokens: bool,
) -> PyResult<PyEncoding> {
let final_encoding = ToPyResult(self.processor.process(
encoding.encoding.clone(),
pair.map(|e| e.encoding.clone()),
add_special_tokens,
))
.into_py()?;
Ok(final_encoding.into())
}
}
/// This post-processor takes care of adding the special tokens needed by
/// a Bert model:
///
/// - a SEP token
/// - a CLS token
///
/// Args:
/// sep (:obj:`Tuple[str, int]`):
/// A tuple with the string representation of the SEP token, and its id
///
/// cls (:obj:`Tuple[str, int]`):
/// A tuple with the string representation of the CLS token, and its id
#[pyclass(extends=PyPostProcessor, module = "tokenizers.processors", name = "BertProcessing")]
pub struct PyBertProcessing {}
#[pymethods]
impl PyBertProcessing {
#[new]
#[pyo3(text_signature = "(self, sep, cls)")]
fn new(sep: (String, u32), cls: (String, u32)) -> (Self, PyPostProcessor) {
(
PyBertProcessing {},
PyPostProcessor::new(Arc::new(BertProcessing::new(sep, cls).into())),
)
}
fn __getnewargs__<'p>(&self, py: Python<'p>) -> &'p PyTuple {
PyTuple::new(py, [("", 0), ("", 0)])
}
}
/// This post-processor takes care of adding the special tokens needed by
/// a Roberta model:
///
/// - a SEP token
/// - a CLS token
///
/// It also takes care of trimming the offsets.
/// By default, the ByteLevel BPE might include whitespaces in the produced tokens. If you don't
/// want the offsets to include these whitespaces, then this PostProcessor should be initialized
/// with :obj:`trim_offsets=True`
///
/// Args:
/// sep (:obj:`Tuple[str, int]`):
/// A tuple with the string representation of the SEP token, and its id
///
/// cls (:obj:`Tuple[str, int]`):
/// A tuple with the string representation of the CLS token, and its id
///
/// trim_offsets (:obj:`bool`, `optional`, defaults to :obj:`True`):
/// Whether to trim the whitespaces from the produced offsets.
///
/// add_prefix_space (:obj:`bool`, `optional`, defaults to :obj:`True`):
/// Whether the add_prefix_space option was enabled during pre-tokenization. This
/// is relevant because it defines the way the offsets are trimmed out.
#[pyclass(extends=PyPostProcessor, module = "tokenizers.processors", name = "RobertaProcessing")]
pub struct PyRobertaProcessing {}
#[pymethods]
impl PyRobertaProcessing {
#[new]
#[pyo3(signature = (sep, cls, trim_offsets = true, add_prefix_space = true), text_signature = "(self, sep, cls, trim_offsets=True, add_prefix_space=True)")]
fn new(
sep: (String, u32),
cls: (String, u32),
trim_offsets: bool,
add_prefix_space: bool,
) -> (Self, PyPostProcessor) {
let proc = RobertaProcessing::new(sep, cls)
.trim_offsets(trim_offsets)
.add_prefix_space(add_prefix_space);
(
PyRobertaProcessing {},
PyPostProcessor::new(Arc::new(proc.into())),
)
}
fn __getnewargs__<'p>(&self, py: Python<'p>) -> &'p PyTuple {
PyTuple::new(py, [("", 0), ("", 0)])
}
}
/// This post-processor takes care of trimming the offsets.
///
/// By default, the ByteLevel BPE might include whitespaces in the produced tokens. If you don't
/// want the offsets to include these whitespaces, then this PostProcessor must be used.
///
/// Args:
/// trim_offsets (:obj:`bool`):
/// Whether to trim the whitespaces from the produced offsets.
#[pyclass(extends=PyPostProcessor, module = "tokenizers.processors", name = "ByteLevel")]
pub struct PyByteLevel {}
#[pymethods]
impl PyByteLevel {
#[new]
#[pyo3(signature = (trim_offsets = None, **_kwargs), text_signature = "(self, trim_offsets=True)")]
fn new(trim_offsets: Option<bool>, _kwargs: Option<&PyDict>) -> (Self, PyPostProcessor) {
let mut byte_level = ByteLevel::default();
if let Some(to) = trim_offsets {
byte_level = byte_level.trim_offsets(to);
}
(
PyByteLevel {},
PyPostProcessor::new(Arc::new(byte_level.into())),
)
}
}
#[derive(Clone, Debug)]
pub struct PySpecialToken(SpecialToken);
impl From<PySpecialToken> for SpecialToken {
fn from(v: PySpecialToken) -> Self {
v.0
}
}
impl FromPyObject<'_> for PySpecialToken {
fn extract(ob: &PyAny) -> PyResult<Self> {
if let Ok(v) = ob.extract::<(String, u32)>() {
Ok(Self(v.into()))
} else if let Ok(v) = ob.extract::<(u32, String)>() {
Ok(Self(v.into()))
} else if let Ok(d) = ob.downcast::<PyDict>() {
let id = d
.get_item("id")
.ok_or_else(|| exceptions::PyValueError::new_err("`id` must be specified"))?
.extract::<String>()?;
let ids = d
.get_item("ids")
.ok_or_else(|| exceptions::PyValueError::new_err("`ids` must be specified"))?
.extract::<Vec<u32>>()?;
let tokens = d
.get_item("tokens")
.ok_or_else(|| exceptions::PyValueError::new_err("`tokens` must be specified"))?
.extract::<Vec<String>>()?;
Ok(Self(
ToPyResult(SpecialToken::new(id, ids, tokens)).into_py()?,
))
} else {
Err(exceptions::PyTypeError::new_err(
"Expected Union[Tuple[str, int], Tuple[int, str], dict]",
))
}
}
}
#[derive(Clone, Debug)]
pub struct PyTemplate(Template);
impl From<PyTemplate> for Template {
fn from(v: PyTemplate) -> Self {
v.0
}
}
impl FromPyObject<'_> for PyTemplate {
fn extract(ob: &PyAny) -> PyResult<Self> {
if let Ok(s) = ob.extract::<&str>() {
Ok(Self(
s.try_into().map_err(exceptions::PyValueError::new_err)?,
))
} else if let Ok(s) = ob.extract::<Vec<&str>>() {
Ok(Self(
s.try_into().map_err(exceptions::PyValueError::new_err)?,
))
} else {
Err(exceptions::PyTypeError::new_err(
"Expected Union[str, List[str]]",
))
}
}
}
/// Provides a way to specify templates in order to add the special tokens to each
/// input sequence as relevant.
///
/// Let's take :obj:`BERT` tokenizer as an example. It uses two special tokens, used to
/// delimitate each sequence. :obj:`[CLS]` is always used at the beginning of the first
/// sequence, and :obj:`[SEP]` is added at the end of both the first, and the pair
/// sequences. The final result looks like this:
///
/// - Single sequence: :obj:`[CLS] Hello there [SEP]`
/// - Pair sequences: :obj:`[CLS] My name is Anthony [SEP] What is my name? [SEP]`
///
/// With the type ids as following::
///
/// [CLS] ... [SEP] ... [SEP]
/// 0 0 0 1 1
///
/// You can achieve such behavior using a TemplateProcessing::
///
/// TemplateProcessing(
/// single="[CLS] $0 [SEP]",
/// pair="[CLS] $A [SEP] $B:1 [SEP]:1",
/// special_tokens=[("[CLS]", 1), ("[SEP]", 0)],
/// )
///
/// In this example, each input sequence is identified using a ``$`` construct. This identifier
/// lets us specify each input sequence, and the type_id to use. When nothing is specified,
/// it uses the default values. Here are the different ways to specify it:
///
/// - Specifying the sequence, with default ``type_id == 0``: ``$A`` or ``$B``
/// - Specifying the `type_id` with default ``sequence == A``: ``$0``, ``$1``, ``$2``, ...
/// - Specifying both: ``$A:0``, ``$B:1``, ...
///
/// The same construct is used for special tokens: ``<identifier>(:<type_id>)?``.
///
/// **Warning**: You must ensure that you are giving the correct tokens/ids as these
/// will be added to the Encoding without any further check. If the given ids correspond
/// to something totally different in a `Tokenizer` using this `PostProcessor`, it
/// might lead to unexpected results.
///
/// Args:
/// single (:obj:`Template`):
/// The template used for single sequences
///
/// pair (:obj:`Template`):
/// The template used when both sequences are specified
///
/// special_tokens (:obj:`Tokens`):
/// The list of special tokens used in each sequences
///
/// Types:
///
/// Template (:obj:`str` or :obj:`List`):
/// - If a :obj:`str` is provided, the whitespace is used as delimiter between tokens
/// - If a :obj:`List[str]` is provided, a list of tokens
///
/// Tokens (:obj:`List[Union[Tuple[int, str], Tuple[str, int], dict]]`):
/// - A :obj:`Tuple` with both a token and its associated ID, in any order
/// - A :obj:`dict` with the following keys:
/// - "id": :obj:`str` => The special token id, as specified in the Template
/// - "ids": :obj:`List[int]` => The associated IDs
/// - "tokens": :obj:`List[str]` => The associated tokens
///
/// The given dict expects the provided :obj:`ids` and :obj:`tokens` lists to have
/// the same length.
#[pyclass(extends=PyPostProcessor, module = "tokenizers.processors", name = "TemplateProcessing")]
pub struct PyTemplateProcessing {}
#[pymethods]
impl PyTemplateProcessing {
#[new]
#[pyo3(signature = (single = None, pair = None, special_tokens = None), text_signature = "(self, single, pair, special_tokens)")]
fn new(
single: Option<PyTemplate>,
pair: Option<PyTemplate>,
special_tokens: Option<Vec<PySpecialToken>>,
) -> PyResult<(Self, PyPostProcessor)> {
let mut builder = tk::processors::template::TemplateProcessing::builder();
if let Some(seq) = single {
builder.single(seq.into());
}
if let Some(seq) = pair {
builder.pair(seq.into());
}
if let Some(sp) = special_tokens {
builder.special_tokens(sp);
}
let processor = builder
.build()
.map_err(|e| exceptions::PyValueError::new_err(e.to_string()))?;
Ok((
PyTemplateProcessing {},
PyPostProcessor::new(Arc::new(processor.into())),
))
}
}
/// Sequence Processor
///
/// Args:
/// processors (:obj:`List[PostProcessor]`)
/// The processors that need to be chained
#[pyclass(extends=PyPostProcessor, module = "tokenizers.processors", name = "Sequence")]
pub struct PySequence {}
#[pymethods]
impl PySequence {
#[new]
#[pyo3(signature = (processors_py), text_signature = "(self, processors)")]
fn new(processors_py: &PyList) -> (Self, PyPostProcessor) {
let mut processors: Vec<PostProcessorWrapper> = Vec::with_capacity(processors_py.len());
for n in processors_py.iter() {
let processor: PyRef<PyPostProcessor> = n.extract().unwrap();
let processor = processor.processor.as_ref();
processors.push(processor.clone());
}
let sequence_processor = Sequence::new(processors);
(
PySequence {},
PyPostProcessor::new(Arc::new(PostProcessorWrapper::Sequence(sequence_processor))),
)
}
fn __getnewargs__<'p>(&self, py: Python<'p>) -> &'p PyTuple {
PyTuple::new(py, [PyList::empty(py)])
}
}
/// Processors Module
#[pymodule]
pub fn processors(_py: Python, m: &PyModule) -> PyResult<()> {
m.add_class::<PyPostProcessor>()?;
m.add_class::<PyBertProcessing>()?;
m.add_class::<PyRobertaProcessing>()?;
m.add_class::<PyByteLevel>()?;
m.add_class::<PyTemplateProcessing>()?;
m.add_class::<PySequence>()?;
Ok(())
}
#[cfg(test)]
mod test {
use std::sync::Arc;
use pyo3::prelude::*;
use tk::processors::bert::BertProcessing;
use tk::processors::PostProcessorWrapper;
use crate::processors::PyPostProcessor;
#[test]
fn get_subtype() {
Python::with_gil(|py| {
let py_proc = PyPostProcessor::new(Arc::new(
BertProcessing::new(("SEP".into(), 0), ("CLS".into(), 1)).into(),
));
let py_bert = py_proc.get_as_subtype(py).unwrap();
assert_eq!(
"BertProcessing",
py_bert.as_ref(py).get_type().name().unwrap()
);
})
}
#[test]
fn serialize() {
let rs_processing = BertProcessing::new(("SEP".into(), 0), ("CLS".into(), 1));
let rs_wrapper: PostProcessorWrapper = rs_processing.clone().into();
let rs_processing_ser = serde_json::to_string(&rs_processing).unwrap();
let rs_wrapper_ser = serde_json::to_string(&rs_wrapper).unwrap();
let py_processing = PyPostProcessor::new(Arc::new(rs_wrapper));
let py_ser = serde_json::to_string(&py_processing).unwrap();
assert_eq!(py_ser, rs_processing_ser);
assert_eq!(py_ser, rs_wrapper_ser);
let py_processing: PyPostProcessor = serde_json::from_str(&rs_processing_ser).unwrap();
match py_processing.processor.as_ref() {
PostProcessorWrapper::Bert(_) => (),
_ => panic!("Expected Bert postprocessor."),
}
let py_processing: PyPostProcessor = serde_json::from_str(&rs_wrapper_ser).unwrap();
match py_processing.processor.as_ref() {
PostProcessorWrapper::Bert(_) => (),
_ => panic!("Expected Bert postprocessor."),
}
}
}
| 0
|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/src/trainers.rs
|
use std::sync::{Arc, RwLock};
use crate::models::PyModel;
use crate::tokenizer::PyAddedToken;
use crate::utils::PyChar;
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use serde::{Deserialize, Serialize};
use tk::models::TrainerWrapper;
use tk::Trainer;
use tokenizers as tk;
/// Base class for all trainers
///
/// This class is not supposed to be instantiated directly. Instead, any implementation of a
/// Trainer will return an instance of this class when instantiated.
#[pyclass(module = "tokenizers.trainers", name = "Trainer", subclass)]
#[derive(Clone, Deserialize, Serialize)]
pub struct PyTrainer {
#[serde(flatten)]
pub trainer: Arc<RwLock<TrainerWrapper>>,
}
impl PyTrainer {
#[cfg(test)]
pub(crate) fn new(trainer: Arc<RwLock<TrainerWrapper>>) -> Self {
PyTrainer { trainer }
}
pub(crate) fn get_as_subtype(&self, py: Python<'_>) -> PyResult<PyObject> {
let base = self.clone();
Ok(match *self.trainer.as_ref().read().unwrap() {
TrainerWrapper::BpeTrainer(_) => Py::new(py, (PyBpeTrainer {}, base))?.into_py(py),
TrainerWrapper::WordPieceTrainer(_) => {
Py::new(py, (PyWordPieceTrainer {}, base))?.into_py(py)
}
TrainerWrapper::WordLevelTrainer(_) => {
Py::new(py, (PyWordLevelTrainer {}, base))?.into_py(py)
}
TrainerWrapper::UnigramTrainer(_) => {
Py::new(py, (PyUnigramTrainer {}, base))?.into_py(py)
}
})
}
}
#[pymethods]
impl PyTrainer {
fn __getstate__(&self, py: Python) -> PyResult<PyObject> {
let data = serde_json::to_string(&self.trainer).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while attempting to pickle PyTrainer: {}",
e
))
})?;
Ok(PyBytes::new(py, data.as_bytes()).to_object(py))
}
fn __setstate__(&mut self, py: Python, state: PyObject) -> PyResult<()> {
match state.extract::<&PyBytes>(py) {
Ok(s) => {
let unpickled = serde_json::from_slice(s.as_bytes()).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while attempting to unpickle PyTrainer: {}",
e
))
})?;
self.trainer = unpickled;
Ok(())
}
Err(e) => Err(e),
}
}
}
impl Trainer for PyTrainer {
type Model = PyModel;
fn should_show_progress(&self) -> bool {
self.trainer.read().unwrap().should_show_progress()
}
fn train(&self, model: &mut PyModel) -> tk::Result<Vec<tk::AddedToken>> {
self.trainer
.read()
.unwrap()
.train(&mut model.model.write().unwrap())
}
fn feed<I, S, F>(&mut self, iterator: I, process: F) -> tk::Result<()>
where
I: Iterator<Item = S> + Send,
S: AsRef<str> + Send,
F: Fn(&str) -> tk::Result<Vec<String>> + Sync,
{
self.trainer.write().unwrap().feed(iterator, process)
}
}
impl<I> From<I> for PyTrainer
where
I: Into<TrainerWrapper>,
{
fn from(trainer: I) -> Self {
PyTrainer {
trainer: Arc::new(RwLock::new(trainer.into())),
}
}
}
macro_rules! getter {
($self: ident, $variant: ident, $($name: tt)+) => {{
let super_ = $self.as_ref();
if let TrainerWrapper::$variant(ref trainer) = *super_.trainer.read().unwrap() {
trainer.$($name)+
} else {
unreachable!()
}
}};
}
macro_rules! setter {
($self: ident, $variant: ident, $name: ident, $value: expr) => {{
let super_ = $self.as_ref();
if let TrainerWrapper::$variant(ref mut trainer) = *super_.trainer.write().unwrap() {
trainer.$name = $value;
}
}};
($self: ident, $variant: ident, @$name: ident, $value: expr) => {{
let super_ = $self.as_ref();
if let TrainerWrapper::$variant(ref mut trainer) = *super_.trainer.write().unwrap() {
trainer.$name($value);
}
}};
}
/// Trainer capable of training a BPE model
///
/// Args:
/// vocab_size (:obj:`int`, `optional`):
/// The size of the final vocabulary, including all tokens and alphabet.
///
/// min_frequency (:obj:`int`, `optional`):
/// The minimum frequency a pair should have in order to be merged.
///
/// show_progress (:obj:`bool`, `optional`):
/// Whether to show progress bars while training.
///
/// special_tokens (:obj:`List[Union[str, AddedToken]]`, `optional`):
/// A list of special tokens the model should know of.
///
/// limit_alphabet (:obj:`int`, `optional`):
/// The maximum different characters to keep in the alphabet.
///
/// initial_alphabet (:obj:`List[str]`, `optional`):
/// A list of characters to include in the initial alphabet, even
/// if not seen in the training dataset.
/// If the strings contain more than one character, only the first one
/// is kept.
///
/// continuing_subword_prefix (:obj:`str`, `optional`):
/// A prefix to be used for every subword that is not a beginning-of-word.
///
/// end_of_word_suffix (:obj:`str`, `optional`):
/// A suffix to be used for every subword that is a end-of-word.
///
/// max_token_length (:obj:`int`, `optional`):
/// Prevents creating tokens longer than the specified size.
/// This can help with reducing polluting your vocabulary with
/// highly repetitive tokens like `======` for wikipedia
///
#[pyclass(extends=PyTrainer, module = "tokenizers.trainers", name = "BpeTrainer")]
pub struct PyBpeTrainer {}
#[pymethods]
impl PyBpeTrainer {
#[getter]
fn get_vocab_size(self_: PyRef<Self>) -> usize {
getter!(self_, BpeTrainer, vocab_size)
}
#[setter]
fn set_vocab_size(self_: PyRef<Self>, vocab_size: usize) {
setter!(self_, BpeTrainer, vocab_size, vocab_size);
}
#[getter]
fn get_min_frequency(self_: PyRef<Self>) -> u32 {
getter!(self_, BpeTrainer, min_frequency)
}
#[setter]
fn set_min_frequency(self_: PyRef<Self>, freq: u32) {
setter!(self_, BpeTrainer, min_frequency, freq);
}
#[getter]
fn get_show_progress(self_: PyRef<Self>) -> bool {
getter!(self_, BpeTrainer, show_progress)
}
#[setter]
fn set_show_progress(self_: PyRef<Self>, show_progress: bool) {
setter!(self_, BpeTrainer, show_progress, show_progress);
}
#[getter]
fn get_special_tokens(self_: PyRef<Self>) -> Vec<PyAddedToken> {
getter!(
self_,
BpeTrainer,
special_tokens
.iter()
.map(|tok| tok.clone().into())
.collect()
)
}
#[setter]
fn set_special_tokens(self_: PyRef<Self>, special_tokens: &PyList) -> PyResult<()> {
setter!(
self_,
BpeTrainer,
special_tokens,
special_tokens
.into_iter()
.map(|token| {
if let Ok(content) = token.extract::<String>() {
Ok(tk::tokenizer::AddedToken::from(content, true))
} else if let Ok(mut token) = token.extract::<PyRefMut<PyAddedToken>>() {
token.special = true;
Ok(token.get_token())
} else {
Err(exceptions::PyTypeError::new_err(
"Special tokens must be a List[Union[str, AddedToken]]",
))
}
})
.collect::<PyResult<Vec<_>>>()?
);
Ok(())
}
#[getter]
fn get_limit_alphabet(self_: PyRef<Self>) -> Option<usize> {
getter!(self_, BpeTrainer, limit_alphabet)
}
#[setter]
fn set_limit_alphabet(self_: PyRef<Self>, limit: Option<usize>) {
setter!(self_, BpeTrainer, limit_alphabet, limit);
}
#[getter]
fn get_max_token_length(self_: PyRef<Self>) -> Option<usize> {
getter!(self_, BpeTrainer, max_token_length)
}
#[setter]
fn set_max_token_length(self_: PyRef<Self>, limit: Option<usize>) {
setter!(self_, BpeTrainer, max_token_length, limit);
}
#[getter]
fn get_initial_alphabet(self_: PyRef<Self>) -> Vec<String> {
getter!(
self_,
BpeTrainer,
initial_alphabet.iter().map(|c| c.to_string()).collect()
)
}
#[setter]
fn set_initial_alphabet(self_: PyRef<Self>, alphabet: Vec<PyChar>) {
setter!(
self_,
BpeTrainer,
initial_alphabet,
alphabet.into_iter().map(|c| c.0).collect()
);
}
#[getter]
fn get_continuing_subword_prefix(self_: PyRef<Self>) -> Option<String> {
getter!(self_, BpeTrainer, continuing_subword_prefix.clone())
}
#[setter]
fn set_continuing_subword_prefix(self_: PyRef<Self>, prefix: Option<String>) {
setter!(self_, BpeTrainer, continuing_subword_prefix, prefix);
}
#[getter]
fn get_end_of_word_suffix(self_: PyRef<Self>) -> Option<String> {
getter!(self_, BpeTrainer, end_of_word_suffix.clone())
}
#[setter]
fn set_end_of_word_suffix(self_: PyRef<Self>, suffix: Option<String>) {
setter!(self_, BpeTrainer, end_of_word_suffix, suffix);
}
#[new]
#[pyo3(signature = (**kwargs), text_signature = None)]
pub fn new(kwargs: Option<&PyDict>) -> PyResult<(Self, PyTrainer)> {
let mut builder = tk::models::bpe::BpeTrainer::builder();
if let Some(kwargs) = kwargs {
for (key, val) in kwargs {
let key: &str = key.extract()?;
match key {
"vocab_size" => builder = builder.vocab_size(val.extract()?),
"min_frequency" => builder = builder.min_frequency(val.extract()?),
"show_progress" => builder = builder.show_progress(val.extract()?),
"special_tokens" => {
builder = builder.special_tokens(
val.downcast::<PyList>()?
.into_iter()
.map(|token| {
if let Ok(content) = token.extract::<String>() {
Ok(PyAddedToken::from(content, Some(true)).get_token())
} else if let Ok(mut token) =
token.extract::<PyRefMut<PyAddedToken>>()
{
token.special = true;
Ok(token.get_token())
} else {
Err(exceptions::PyTypeError::new_err(
"special_tokens must be a List[Union[str, AddedToken]]",
))
}
})
.collect::<PyResult<Vec<_>>>()?,
);
}
"limit_alphabet" => builder = builder.limit_alphabet(val.extract()?),
"max_token_length" => builder = builder.max_token_length(val.extract()?),
"initial_alphabet" => {
let alphabet: Vec<String> = val.extract()?;
builder = builder.initial_alphabet(
alphabet
.into_iter()
.filter_map(|s| s.chars().next())
.collect(),
);
}
"continuing_subword_prefix" => {
builder = builder.continuing_subword_prefix(val.extract()?)
}
"end_of_word_suffix" => builder = builder.end_of_word_suffix(val.extract()?),
_ => println!("Ignored unknown kwargs option {}", key),
};
}
}
Ok((PyBpeTrainer {}, builder.build().into()))
}
}
/// Trainer capable of training a WordPiece model
///
/// Args:
/// vocab_size (:obj:`int`, `optional`):
/// The size of the final vocabulary, including all tokens and alphabet.
///
/// min_frequency (:obj:`int`, `optional`):
/// The minimum frequency a pair should have in order to be merged.
///
/// show_progress (:obj:`bool`, `optional`):
/// Whether to show progress bars while training.
///
/// special_tokens (:obj:`List[Union[str, AddedToken]]`, `optional`):
/// A list of special tokens the model should know of.
///
/// limit_alphabet (:obj:`int`, `optional`):
/// The maximum different characters to keep in the alphabet.
///
/// initial_alphabet (:obj:`List[str]`, `optional`):
/// A list of characters to include in the initial alphabet, even
/// if not seen in the training dataset.
/// If the strings contain more than one character, only the first one
/// is kept.
///
/// continuing_subword_prefix (:obj:`str`, `optional`):
/// A prefix to be used for every subword that is not a beginning-of-word.
///
/// end_of_word_suffix (:obj:`str`, `optional`):
/// A suffix to be used for every subword that is a end-of-word.
#[pyclass(extends=PyTrainer, module = "tokenizers.trainers", name = "WordPieceTrainer")]
pub struct PyWordPieceTrainer {}
#[pymethods]
impl PyWordPieceTrainer {
#[getter]
fn get_vocab_size(self_: PyRef<Self>) -> usize {
getter!(self_, WordPieceTrainer, vocab_size())
}
#[setter]
fn set_vocab_size(self_: PyRef<Self>, vocab_size: usize) {
setter!(self_, WordPieceTrainer, @set_vocab_size, vocab_size);
}
#[getter]
fn get_min_frequency(self_: PyRef<Self>) -> u32 {
getter!(self_, WordPieceTrainer, min_frequency())
}
#[setter]
fn set_min_frequency(self_: PyRef<Self>, freq: u32) {
setter!(self_, WordPieceTrainer, @set_min_frequency, freq);
}
#[getter]
fn get_show_progress(self_: PyRef<Self>) -> bool {
getter!(self_, WordPieceTrainer, show_progress())
}
#[setter]
fn set_show_progress(self_: PyRef<Self>, show_progress: bool) {
setter!(self_, WordPieceTrainer, @set_show_progress, show_progress);
}
#[getter]
fn get_special_tokens(self_: PyRef<Self>) -> Vec<PyAddedToken> {
getter!(
self_,
WordPieceTrainer,
special_tokens()
.iter()
.map(|tok| tok.clone().into())
.collect()
)
}
#[setter]
fn set_special_tokens(self_: PyRef<Self>, special_tokens: &PyList) -> PyResult<()> {
setter!(
self_,
WordPieceTrainer,
@set_special_tokens,
special_tokens
.into_iter()
.map(|token| {
if let Ok(content) = token.extract::<String>() {
Ok(tk::tokenizer::AddedToken::from(content, true))
} else if let Ok(mut token) = token.extract::<PyRefMut<PyAddedToken>>() {
token.special = true;
Ok(token.get_token())
} else {
Err(exceptions::PyTypeError::new_err(
"Special tokens must be a List[Union[str, AddedToken]]",
))
}
})
.collect::<PyResult<Vec<_>>>()?
);
Ok(())
}
#[getter]
fn get_limit_alphabet(self_: PyRef<Self>) -> Option<usize> {
getter!(self_, WordPieceTrainer, limit_alphabet())
}
#[setter]
fn set_limit_alphabet(self_: PyRef<Self>, limit: Option<usize>) {
setter!(self_, WordPieceTrainer, @set_limit_alphabet, limit);
}
#[getter]
fn get_initial_alphabet(self_: PyRef<Self>) -> Vec<String> {
getter!(
self_,
WordPieceTrainer,
initial_alphabet().iter().map(|c| c.to_string()).collect()
)
}
#[setter]
fn set_initial_alphabet(self_: PyRef<Self>, alphabet: Vec<PyChar>) {
setter!(
self_,
WordPieceTrainer,
@set_initial_alphabet,
alphabet.into_iter().map(|c| c.0).collect()
);
}
#[getter]
fn get_continuing_subword_prefix(self_: PyRef<Self>) -> Option<String> {
getter!(self_, WordPieceTrainer, continuing_subword_prefix().clone())
}
#[setter]
fn set_continuing_subword_prefix(self_: PyRef<Self>, prefix: Option<String>) {
setter!(self_, WordPieceTrainer, @set_continuing_subword_prefix, prefix);
}
#[getter]
fn get_end_of_word_suffix(self_: PyRef<Self>) -> Option<String> {
getter!(self_, WordPieceTrainer, end_of_word_suffix().clone())
}
#[setter]
fn set_end_of_word_suffix(self_: PyRef<Self>, suffix: Option<String>) {
setter!(self_, WordPieceTrainer, @set_end_of_word_suffix, suffix);
}
#[new]
#[pyo3(
signature = (** kwargs),
text_signature = "(self, vocab_size=30000, min_frequency=0, show_progress=True, special_tokens=[], limit_alphabet=None, initial_alphabet= [],continuing_subword_prefix=\"##\", end_of_word_suffix=None)"
)]
pub fn new(kwargs: Option<&PyDict>) -> PyResult<(Self, PyTrainer)> {
let mut builder = tk::models::wordpiece::WordPieceTrainer::builder();
if let Some(kwargs) = kwargs {
for (key, val) in kwargs {
let key: &str = key.extract()?;
match key {
"vocab_size" => builder = builder.vocab_size(val.extract()?),
"min_frequency" => builder = builder.min_frequency(val.extract()?),
"show_progress" => builder = builder.show_progress(val.extract()?),
"special_tokens" => {
builder = builder.special_tokens(
val.downcast::<PyList>()?
.into_iter()
.map(|token| {
if let Ok(content) = token.extract::<String>() {
Ok(PyAddedToken::from(content, Some(true)).get_token())
} else if let Ok(mut token) =
token.extract::<PyRefMut<PyAddedToken>>()
{
token.special = true;
Ok(token.get_token())
} else {
Err(exceptions::PyTypeError::new_err(
"special_tokens must be a List[Union[str, AddedToken]]",
))
}
})
.collect::<PyResult<Vec<_>>>()?,
);
}
"limit_alphabet" => builder = builder.limit_alphabet(val.extract()?),
"initial_alphabet" => {
let alphabet: Vec<String> = val.extract()?;
builder = builder.initial_alphabet(
alphabet
.into_iter()
.filter_map(|s| s.chars().next())
.collect(),
);
}
"continuing_subword_prefix" => {
builder = builder.continuing_subword_prefix(val.extract()?)
}
"end_of_word_suffix" => builder = builder.end_of_word_suffix(val.extract()?),
_ => println!("Ignored unknown kwargs option {}", key),
};
}
}
Ok((PyWordPieceTrainer {}, builder.build().into()))
}
}
/// Trainer capable of training a WorldLevel model
///
/// Args:
/// vocab_size (:obj:`int`, `optional`):
/// The size of the final vocabulary, including all tokens and alphabet.
///
/// min_frequency (:obj:`int`, `optional`):
/// The minimum frequency a pair should have in order to be merged.
///
/// show_progress (:obj:`bool`, `optional`):
/// Whether to show progress bars while training.
///
/// special_tokens (:obj:`List[Union[str, AddedToken]]`):
/// A list of special tokens the model should know of.
#[pyclass(extends=PyTrainer, module = "tokenizers.trainers", name = "WordLevelTrainer")]
pub struct PyWordLevelTrainer {}
#[pymethods]
impl PyWordLevelTrainer {
#[getter]
fn get_vocab_size(self_: PyRef<Self>) -> usize {
getter!(self_, WordLevelTrainer, vocab_size)
}
#[setter]
fn set_vocab_size(self_: PyRef<Self>, vocab_size: usize) {
setter!(self_, WordLevelTrainer, vocab_size, vocab_size);
}
#[getter]
fn get_min_frequency(self_: PyRef<Self>) -> u32 {
getter!(self_, WordLevelTrainer, min_frequency)
}
#[setter]
fn set_min_frequency(self_: PyRef<Self>, freq: u32) {
setter!(self_, WordLevelTrainer, min_frequency, freq);
}
#[getter]
fn get_show_progress(self_: PyRef<Self>) -> bool {
getter!(self_, WordLevelTrainer, show_progress)
}
#[setter]
fn set_show_progress(self_: PyRef<Self>, show_progress: bool) {
setter!(self_, WordLevelTrainer, show_progress, show_progress);
}
#[getter]
fn get_special_tokens(self_: PyRef<Self>) -> Vec<PyAddedToken> {
getter!(
self_,
WordLevelTrainer,
special_tokens
.iter()
.map(|tok| tok.clone().into())
.collect()
)
}
#[setter]
fn set_special_tokens(self_: PyRef<Self>, special_tokens: &PyList) -> PyResult<()> {
setter!(
self_,
WordLevelTrainer,
special_tokens,
special_tokens
.into_iter()
.map(|token| {
if let Ok(content) = token.extract::<String>() {
Ok(tk::tokenizer::AddedToken::from(content, true))
} else if let Ok(mut token) = token.extract::<PyRefMut<PyAddedToken>>() {
token.special = true;
Ok(token.get_token())
} else {
Err(exceptions::PyTypeError::new_err(
"Special tokens must be a List[Union[str, AddedToken]]",
))
}
})
.collect::<PyResult<Vec<_>>>()?
);
Ok(())
}
#[new]
#[pyo3(signature = (**kwargs), text_signature = None)]
pub fn new(kwargs: Option<&PyDict>) -> PyResult<(Self, PyTrainer)> {
let mut builder = tk::models::wordlevel::WordLevelTrainer::builder();
if let Some(kwargs) = kwargs {
for (key, val) in kwargs {
let key: &str = key.extract()?;
match key {
"vocab_size" => {
builder.vocab_size(val.extract()?);
}
"min_frequency" => {
builder.min_frequency(val.extract()?);
}
"show_progress" => {
builder.show_progress(val.extract()?);
}
"special_tokens" => {
builder.special_tokens(
val.downcast::<PyList>()?
.into_iter()
.map(|token| {
if let Ok(content) = token.extract::<String>() {
Ok(PyAddedToken::from(content, Some(true)).get_token())
} else if let Ok(mut token) =
token.extract::<PyRefMut<PyAddedToken>>()
{
token.special = true;
Ok(token.get_token())
} else {
Err(exceptions::PyTypeError::new_err(
"special_tokens must be a List[Union[str, AddedToken]]",
))
}
})
.collect::<PyResult<Vec<_>>>()?,
);
}
_ => println!("Ignored unknown kwargs option {}", key),
}
}
}
Ok((
PyWordLevelTrainer {},
builder
.build()
.expect("WordLevelTrainerBuilder cannot fail")
.into(),
))
}
}
/// Trainer capable of training a Unigram model
///
/// Args:
/// vocab_size (:obj:`int`):
/// The size of the final vocabulary, including all tokens and alphabet.
///
/// show_progress (:obj:`bool`):
/// Whether to show progress bars while training.
///
/// special_tokens (:obj:`List[Union[str, AddedToken]]`):
/// A list of special tokens the model should know of.
///
/// initial_alphabet (:obj:`List[str]`):
/// A list of characters to include in the initial alphabet, even
/// if not seen in the training dataset.
/// If the strings contain more than one character, only the first one
/// is kept.
///
/// shrinking_factor (:obj:`float`):
/// The shrinking factor used at each step of the training to prune the
/// vocabulary.
///
/// unk_token (:obj:`str`):
/// The token used for out-of-vocabulary tokens.
///
/// max_piece_length (:obj:`int`):
/// The maximum length of a given token.
///
/// n_sub_iterations (:obj:`int`):
/// The number of iterations of the EM algorithm to perform before
/// pruning the vocabulary.
#[pyclass(extends=PyTrainer, module = "tokenizers.trainers", name = "UnigramTrainer")]
pub struct PyUnigramTrainer {}
#[pymethods]
impl PyUnigramTrainer {
#[getter]
fn get_vocab_size(self_: PyRef<Self>) -> u32 {
getter!(self_, UnigramTrainer, vocab_size)
}
#[setter]
fn set_vocab_size(self_: PyRef<Self>, vocab_size: u32) {
setter!(self_, UnigramTrainer, vocab_size, vocab_size);
}
#[getter]
fn get_show_progress(self_: PyRef<Self>) -> bool {
getter!(self_, UnigramTrainer, show_progress)
}
#[setter]
fn set_show_progress(self_: PyRef<Self>, show_progress: bool) {
setter!(self_, UnigramTrainer, show_progress, show_progress);
}
#[getter]
fn get_special_tokens(self_: PyRef<Self>) -> Vec<PyAddedToken> {
getter!(
self_,
UnigramTrainer,
special_tokens
.iter()
.map(|tok| tok.clone().into())
.collect()
)
}
#[setter]
fn set_special_tokens(self_: PyRef<Self>, special_tokens: &PyList) -> PyResult<()> {
setter!(
self_,
UnigramTrainer,
special_tokens,
special_tokens
.into_iter()
.map(|token| {
if let Ok(content) = token.extract::<String>() {
Ok(tk::tokenizer::AddedToken::from(content, true))
} else if let Ok(mut token) = token.extract::<PyRefMut<PyAddedToken>>() {
token.special = true;
Ok(token.get_token())
} else {
Err(exceptions::PyTypeError::new_err(
"Special tokens must be a List[Union[str, AddedToken]]",
))
}
})
.collect::<PyResult<Vec<_>>>()?
);
Ok(())
}
#[getter]
fn get_initial_alphabet(self_: PyRef<Self>) -> Vec<String> {
getter!(
self_,
UnigramTrainer,
initial_alphabet.iter().map(|c| c.to_string()).collect()
)
}
#[setter]
fn set_initial_alphabet(self_: PyRef<Self>, alphabet: Vec<PyChar>) {
setter!(
self_,
UnigramTrainer,
initial_alphabet,
alphabet.into_iter().map(|c| c.0).collect()
);
}
#[new]
#[pyo3(
signature = (**kwargs),
text_signature = "(self, vocab_size=8000, show_progress=True, special_tokens=[], shrinking_factor=0.75, unk_token=None, max_piece_length=16, n_sub_iterations=2)"
)]
pub fn new(kwargs: Option<&PyDict>) -> PyResult<(Self, PyTrainer)> {
let mut builder = tk::models::unigram::UnigramTrainer::builder();
if let Some(kwargs) = kwargs {
for (key, val) in kwargs {
let key: &str = key.extract()?;
match key {
"vocab_size" => builder.vocab_size(val.extract()?),
"show_progress" => builder.show_progress(val.extract()?),
"n_sub_iterations" => builder.n_sub_iterations(val.extract()?),
"shrinking_factor" => builder.shrinking_factor(val.extract()?),
"unk_token" => builder.unk_token(val.extract()?),
"max_piece_length" => builder.max_piece_length(val.extract()?),
"seed_size" => builder.seed_size(val.extract()?),
"initial_alphabet" => {
let alphabet: Vec<String> = val.extract()?;
builder.initial_alphabet(
alphabet
.into_iter()
.filter_map(|s| s.chars().next())
.collect(),
)
}
"special_tokens" => builder.special_tokens(
val.downcast::<PyList>()?
.into_iter()
.map(|token| {
if let Ok(content) = token.extract::<String>() {
Ok(PyAddedToken::from(content, Some(true)).get_token())
} else if let Ok(mut token) =
token.extract::<PyRefMut<PyAddedToken>>()
{
token.special = true;
Ok(token.get_token())
} else {
Err(exceptions::PyTypeError::new_err(
"special_tokens must be a List[Union[str, AddedToken]]",
))
}
})
.collect::<PyResult<Vec<_>>>()?,
),
_ => {
println!("Ignored unknown kwargs option {}", key);
&mut builder
}
};
}
}
let trainer: tokenizers::models::unigram::UnigramTrainer =
builder.build().map_err(|e| {
exceptions::PyException::new_err(format!("Cannot build UnigramTrainer: {}", e))
})?;
Ok((PyUnigramTrainer {}, trainer.into()))
}
}
/// Trainers Module
#[pymodule]
pub fn trainers(_py: Python, m: &PyModule) -> PyResult<()> {
m.add_class::<PyTrainer>()?;
m.add_class::<PyBpeTrainer>()?;
m.add_class::<PyWordPieceTrainer>()?;
m.add_class::<PyWordLevelTrainer>()?;
m.add_class::<PyUnigramTrainer>()?;
Ok(())
}
#[cfg(test)]
mod tests {
use super::*;
use tk::models::bpe::trainer::BpeTrainer;
#[test]
fn get_subtype() {
Python::with_gil(|py| {
let py_trainer = PyTrainer::new(Arc::new(RwLock::new(BpeTrainer::default().into())));
let py_bpe = py_trainer.get_as_subtype(py).unwrap();
assert_eq!("BpeTrainer", py_bpe.as_ref(py).get_type().name().unwrap());
})
}
}
| 0
|
hf_public_repos/tokenizers/bindings/python
|
hf_public_repos/tokenizers/bindings/python/src/tokenizer.rs
|
use std::collections::{hash_map::DefaultHasher, HashMap};
use std::hash::{Hash, Hasher};
use numpy::{npyffi, PyArray1};
use pyo3::class::basic::CompareOp;
use pyo3::exceptions;
use pyo3::intern;
use pyo3::prelude::*;
use pyo3::types::*;
use pyo3::AsPyPointer;
use tk::models::bpe::BPE;
use tk::tokenizer::{
Model, PaddingDirection, PaddingParams, PaddingStrategy, PostProcessor, TokenizerImpl,
TruncationDirection, TruncationParams, TruncationStrategy,
};
use tk::utils::iter::ResultShunt;
use tokenizers as tk;
use super::decoders::PyDecoder;
use super::encoding::PyEncoding;
use super::error::{PyError, ToPyResult};
use super::models::PyModel;
use super::normalizers::PyNormalizer;
use super::pre_tokenizers::PyPreTokenizer;
use super::trainers::PyTrainer;
use crate::processors::PyPostProcessor;
use crate::utils::{MaybeSizedIterator, PyBufferedIterator};
use std::collections::BTreeMap;
/// Represents a token that can be be added to a :class:`~tokenizers.Tokenizer`.
/// It can have special options that defines the way it should behave.
///
/// Args:
/// content (:obj:`str`): The content of the token
///
/// single_word (:obj:`bool`, defaults to :obj:`False`):
/// Defines whether this token should only match single words. If :obj:`True`, this
/// token will never match inside of a word. For example the token ``ing`` would match
/// on ``tokenizing`` if this option is :obj:`False`, but not if it is :obj:`True`.
/// The notion of "`inside of a word`" is defined by the word boundaries pattern in
/// regular expressions (ie. the token should start and end with word boundaries).
///
/// lstrip (:obj:`bool`, defaults to :obj:`False`):
/// Defines whether this token should strip all potential whitespaces on its left side.
/// If :obj:`True`, this token will greedily match any whitespace on its left. For
/// example if we try to match the token ``[MASK]`` with ``lstrip=True``, in the text
/// ``"I saw a [MASK]"``, we would match on ``" [MASK]"``. (Note the space on the left).
///
/// rstrip (:obj:`bool`, defaults to :obj:`False`):
/// Defines whether this token should strip all potential whitespaces on its right
/// side. If :obj:`True`, this token will greedily match any whitespace on its right.
/// It works just like :obj:`lstrip` but on the right.
///
/// normalized (:obj:`bool`, defaults to :obj:`True` with :meth:`~tokenizers.Tokenizer.add_tokens` and :obj:`False` with :meth:`~tokenizers.Tokenizer.add_special_tokens`):
/// Defines whether this token should match against the normalized version of the input
/// text. For example, with the added token ``"yesterday"``, and a normalizer in charge of
/// lowercasing the text, the token could be extract from the input ``"I saw a lion
/// Yesterday"``.
/// special (:obj:`bool`, defaults to :obj:`False` with :meth:`~tokenizers.Tokenizer.add_tokens` and :obj:`False` with :meth:`~tokenizers.Tokenizer.add_special_tokens`):
/// Defines whether this token should be skipped when decoding.
///
#[pyclass(dict, module = "tokenizers", name = "AddedToken")]
pub struct PyAddedToken {
pub content: String,
pub special: bool,
pub single_word: Option<bool>,
pub lstrip: Option<bool>,
pub rstrip: Option<bool>,
pub normalized: Option<bool>,
}
impl PyAddedToken {
pub fn from<S: Into<String>>(content: S, special: Option<bool>) -> Self {
Self {
content: content.into(),
special: special.unwrap_or(false),
single_word: None,
lstrip: None,
rstrip: None,
normalized: None,
}
}
pub fn get_token(&self) -> tk::tokenizer::AddedToken {
let mut token = tk::AddedToken::from(&self.content, self.special);
if let Some(sw) = self.single_word {
token = token.single_word(sw);
}
if let Some(ls) = self.lstrip {
token = token.lstrip(ls);
}
if let Some(rs) = self.rstrip {
token = token.rstrip(rs);
}
if let Some(n) = self.normalized {
token = token.normalized(n);
}
token
}
pub fn as_pydict<'py>(&self, py: Python<'py>) -> PyResult<&'py PyDict> {
let dict = PyDict::new(py);
let token = self.get_token();
dict.set_item("content", token.content)?;
dict.set_item("single_word", token.single_word)?;
dict.set_item("lstrip", token.lstrip)?;
dict.set_item("rstrip", token.rstrip)?;
dict.set_item("normalized", token.normalized)?;
dict.set_item("special", token.special)?;
Ok(dict)
}
}
impl From<tk::AddedToken> for PyAddedToken {
fn from(token: tk::AddedToken) -> Self {
Self {
content: token.content,
single_word: Some(token.single_word),
lstrip: Some(token.lstrip),
rstrip: Some(token.rstrip),
normalized: Some(token.normalized),
special: token.special,
}
}
}
#[pymethods]
impl PyAddedToken {
#[new]
#[pyo3(signature = (content=None, **kwargs), text_signature = "(self, content, single_word=False, lstrip=False, rstrip=False, normalized=True, special=False)")]
fn __new__(content: Option<&str>, kwargs: Option<&PyDict>) -> PyResult<Self> {
let mut token = PyAddedToken::from(content.unwrap_or(""), None);
if let Some(kwargs) = kwargs {
for (key, value) in kwargs {
let key: &str = key.extract()?;
match key {
"single_word" => token.single_word = Some(value.extract()?),
"lstrip" => token.lstrip = Some(value.extract()?),
"rstrip" => token.rstrip = Some(value.extract()?),
"normalized" => token.normalized = Some(value.extract()?),
"special" => token.special = value.extract()?,
_ => println!("Ignored unknown kwarg option {}", key),
}
}
}
Ok(token)
}
fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult<&'py PyDict> {
self.as_pydict(py)
}
fn __setstate__(&mut self, py: Python, state: PyObject) -> PyResult<()> {
match state.extract::<&PyDict>(py) {
Ok(state) => {
for (key, value) in state {
let key: &str = key.extract()?;
match key {
"content" => self.content = value.extract()?,
"single_word" => self.single_word = Some(value.extract()?),
"lstrip" => self.lstrip = Some(value.extract()?),
"rstrip" => self.rstrip = Some(value.extract()?),
"normalized" => self.normalized = Some(value.extract()?),
"special" => self.special = value.extract()?,
_ => {}
}
}
Ok(())
}
Err(e) => Err(e),
}
}
/// Get the content of this :obj:`AddedToken`
#[getter]
fn get_content(&self) -> &str {
&self.content
}
/// Set the content of this :obj:`AddedToken`
#[setter]
fn set_content(&mut self, content: String) {
self.content = content;
}
/// Get the value of the :obj:`rstrip` option
#[getter]
fn get_rstrip(&self) -> bool {
self.get_token().rstrip
}
/// Get the value of the :obj:`lstrip` option
#[getter]
fn get_lstrip(&self) -> bool {
self.get_token().lstrip
}
/// Get the value of the :obj:`single_word` option
#[getter]
fn get_single_word(&self) -> bool {
self.get_token().single_word
}
/// Get the value of the :obj:`normalized` option
#[getter]
fn get_normalized(&self) -> bool {
self.get_token().normalized
}
/// Get the value of the :obj:`special` option
#[getter]
fn get_special(&self) -> bool {
self.get_token().special
}
/// Set the value of the :obj:`special` option
#[setter]
fn set_special(&mut self, special: bool) {
self.special = special;
}
fn __str__(&self) -> PyResult<&str> {
Ok(&self.content)
}
fn __repr__(&self) -> PyResult<String> {
let bool_to_python = |p| match p {
true => "True",
false => "False",
};
let token = self.get_token();
Ok(format!(
"AddedToken(\"{}\", rstrip={}, lstrip={}, single_word={}, normalized={}, special={})",
self.content,
bool_to_python(token.rstrip),
bool_to_python(token.lstrip),
bool_to_python(token.single_word),
bool_to_python(token.normalized),
bool_to_python(token.special)
))
}
fn __richcmp__(&self, other: Py<PyAddedToken>, op: CompareOp) -> bool {
use CompareOp::*;
Python::with_gil(|py| match op {
Lt | Le | Gt | Ge => false,
Eq => self.get_token() == other.borrow(py).get_token(),
Ne => self.get_token() != other.borrow(py).get_token(),
})
}
fn __hash__(&self) -> u64 {
let mut hasher = DefaultHasher::new();
self.get_token().hash(&mut hasher);
hasher.finish()
}
}
struct TextInputSequence<'s>(tk::InputSequence<'s>);
impl<'s> FromPyObject<'s> for TextInputSequence<'s> {
fn extract(ob: &'s PyAny) -> PyResult<Self> {
let err = exceptions::PyTypeError::new_err("TextInputSequence must be str");
if let Ok(s) = ob.downcast::<PyString>() {
Ok(Self(s.to_string_lossy().into()))
} else {
Err(err)
}
}
}
impl<'s> From<TextInputSequence<'s>> for tk::InputSequence<'s> {
fn from(s: TextInputSequence<'s>) -> Self {
s.0
}
}
struct PyArrayUnicode(Vec<String>);
impl FromPyObject<'_> for PyArrayUnicode {
fn extract(ob: &PyAny) -> PyResult<Self> {
// SAFETY Making sure the pointer is a valid numpy array requires calling numpy C code
if unsafe { npyffi::PyArray_Check(ob.py(), ob.as_ptr()) } == 0 {
return Err(exceptions::PyTypeError::new_err("Expected an np.array"));
}
let arr = ob.as_ptr() as *mut npyffi::PyArrayObject;
// SAFETY Getting all the metadata about the numpy array to check its sanity
let (type_num, elsize, alignment, data, nd, flags) = unsafe {
let desc = (*arr).descr;
(
(*desc).type_num,
(*desc).elsize as usize,
(*desc).alignment as usize,
(*arr).data,
(*arr).nd,
(*arr).flags,
)
};
if nd != 1 {
return Err(exceptions::PyTypeError::new_err(
"Expected a 1 dimensional np.array",
));
}
if flags & (npyffi::NPY_ARRAY_C_CONTIGUOUS | npyffi::NPY_ARRAY_F_CONTIGUOUS) == 0 {
return Err(exceptions::PyTypeError::new_err(
"Expected a contiguous np.array",
));
}
if type_num != npyffi::types::NPY_TYPES::NPY_UNICODE as i32 {
return Err(exceptions::PyTypeError::new_err(
"Expected a np.array[dtype='U']",
));
}
// SAFETY Looking at the raw numpy data to create new owned Rust strings via copies (so it's safe afterwards).
unsafe {
let n_elem = *(*arr).dimensions as usize;
let all_bytes = std::slice::from_raw_parts(data as *const u8, elsize * n_elem);
let seq = (0..n_elem)
.map(|i| {
let bytes = &all_bytes[i * elsize..(i + 1) * elsize];
let unicode = pyo3::ffi::PyUnicode_FromKindAndData(
pyo3::ffi::PyUnicode_4BYTE_KIND as _,
bytes.as_ptr() as *const _,
elsize as isize / alignment as isize,
);
let py = ob.py();
let obj = PyObject::from_owned_ptr(py, unicode);
let s = obj.downcast::<PyString>(py)?;
Ok(s.to_string_lossy().trim_matches(char::from(0)).to_owned())
})
.collect::<PyResult<Vec<_>>>()?;
Ok(Self(seq))
}
}
}
impl From<PyArrayUnicode> for tk::InputSequence<'_> {
fn from(s: PyArrayUnicode) -> Self {
s.0.into()
}
}
struct PyArrayStr(Vec<String>);
impl FromPyObject<'_> for PyArrayStr {
fn extract(ob: &PyAny) -> PyResult<Self> {
let array = ob.downcast::<PyArray1<PyObject>>()?;
let seq = array
.readonly()
.as_array()
.iter()
.map(|obj| {
let s = obj.downcast::<PyString>(ob.py())?;
Ok(s.to_string_lossy().into_owned())
})
.collect::<PyResult<Vec<_>>>()?;
Ok(Self(seq))
}
}
impl From<PyArrayStr> for tk::InputSequence<'_> {
fn from(s: PyArrayStr) -> Self {
s.0.into()
}
}
struct PreTokenizedInputSequence<'s>(tk::InputSequence<'s>);
impl<'s> FromPyObject<'s> for PreTokenizedInputSequence<'s> {
fn extract(ob: &'s PyAny) -> PyResult<Self> {
if let Ok(seq) = ob.extract::<PyArrayUnicode>() {
return Ok(Self(seq.into()));
}
if let Ok(seq) = ob.extract::<PyArrayStr>() {
return Ok(Self(seq.into()));
}
if let Ok(s) = ob.downcast::<PyList>() {
if let Ok(seq) = s.extract::<Vec<&str>>() {
return Ok(Self(seq.into()));
}
}
if let Ok(s) = ob.downcast::<PyTuple>() {
if let Ok(seq) = s.extract::<Vec<&str>>() {
return Ok(Self(seq.into()));
}
}
Err(exceptions::PyTypeError::new_err(
"PreTokenizedInputSequence must be Union[List[str], Tuple[str]]",
))
}
}
impl<'s> From<PreTokenizedInputSequence<'s>> for tk::InputSequence<'s> {
fn from(s: PreTokenizedInputSequence<'s>) -> Self {
s.0
}
}
struct TextEncodeInput<'s>(tk::EncodeInput<'s>);
impl<'s> FromPyObject<'s> for TextEncodeInput<'s> {
fn extract(ob: &'s PyAny) -> PyResult<Self> {
if let Ok(i) = ob.extract::<TextInputSequence>() {
return Ok(Self(i.into()));
}
if let Ok((i1, i2)) = ob.extract::<(TextInputSequence, TextInputSequence)>() {
return Ok(Self((i1, i2).into()));
}
if let Ok(arr) = ob.extract::<Vec<&PyAny>>() {
if arr.len() == 2 {
let first = arr[0].extract::<TextInputSequence>()?;
let second = arr[1].extract::<TextInputSequence>()?;
return Ok(Self((first, second).into()));
}
}
Err(exceptions::PyTypeError::new_err(
"TextEncodeInput must be Union[TextInputSequence, Tuple[InputSequence, InputSequence]]",
))
}
}
impl<'s> From<TextEncodeInput<'s>> for tk::tokenizer::EncodeInput<'s> {
fn from(i: TextEncodeInput<'s>) -> Self {
i.0
}
}
struct PreTokenizedEncodeInput<'s>(tk::EncodeInput<'s>);
impl<'s> FromPyObject<'s> for PreTokenizedEncodeInput<'s> {
fn extract(ob: &'s PyAny) -> PyResult<Self> {
if let Ok(i) = ob.extract::<PreTokenizedInputSequence>() {
return Ok(Self(i.into()));
}
if let Ok((i1, i2)) = ob.extract::<(PreTokenizedInputSequence, PreTokenizedInputSequence)>()
{
return Ok(Self((i1, i2).into()));
}
if let Ok(arr) = ob.extract::<Vec<&PyAny>>() {
if arr.len() == 2 {
let first = arr[0].extract::<PreTokenizedInputSequence>()?;
let second = arr[1].extract::<PreTokenizedInputSequence>()?;
return Ok(Self((first, second).into()));
}
}
Err(exceptions::PyTypeError::new_err(
"PreTokenizedEncodeInput must be Union[PreTokenizedInputSequence, \
Tuple[PreTokenizedInputSequence, PreTokenizedInputSequence]]",
))
}
}
impl<'s> From<PreTokenizedEncodeInput<'s>> for tk::tokenizer::EncodeInput<'s> {
fn from(i: PreTokenizedEncodeInput<'s>) -> Self {
i.0
}
}
type Tokenizer = TokenizerImpl<PyModel, PyNormalizer, PyPreTokenizer, PyPostProcessor, PyDecoder>;
/// A :obj:`Tokenizer` works as a pipeline. It processes some raw text as input
/// and outputs an :class:`~tokenizers.Encoding`.
///
/// Args:
/// model (:class:`~tokenizers.models.Model`):
/// The core algorithm that this :obj:`Tokenizer` should be using.
///
#[pyclass(dict, module = "tokenizers", name = "Tokenizer")]
#[derive(Clone)]
pub struct PyTokenizer {
tokenizer: Tokenizer,
}
impl PyTokenizer {
fn new(tokenizer: Tokenizer) -> Self {
PyTokenizer { tokenizer }
}
fn from_model(model: PyModel) -> Self {
PyTokenizer::new(TokenizerImpl::new(model))
}
}
#[pymethods]
impl PyTokenizer {
#[new]
#[pyo3(text_signature = "(self, model)")]
fn __new__(model: PyRef<PyModel>) -> Self {
PyTokenizer::from_model(model.clone())
}
fn __getstate__(&self, py: Python) -> PyResult<PyObject> {
let data = serde_json::to_string(&self.tokenizer).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while attempting to pickle Tokenizer: {}",
e
))
})?;
Ok(PyBytes::new(py, data.as_bytes()).to_object(py))
}
fn __setstate__(&mut self, py: Python, state: PyObject) -> PyResult<()> {
match state.extract::<&PyBytes>(py) {
Ok(s) => {
self.tokenizer = serde_json::from_slice(s.as_bytes()).map_err(|e| {
exceptions::PyException::new_err(format!(
"Error while attempting to unpickle Tokenizer: {}",
e
))
})?;
Ok(())
}
Err(e) => Err(e),
}
}
fn __getnewargs__<'p>(&self, py: Python<'p>) -> &'p PyTuple {
let model = PyModel::from(BPE::default()).into_py(py);
PyTuple::new(py, vec![model])
}
/// Instantiate a new :class:`~tokenizers.Tokenizer` from the given JSON string.
///
/// Args:
/// json (:obj:`str`):
/// A valid JSON string representing a previously serialized
/// :class:`~tokenizers.Tokenizer`
///
/// Returns:
/// :class:`~tokenizers.Tokenizer`: The new tokenizer
#[staticmethod]
#[pyo3(text_signature = "(json)")]
fn from_str(json: &str) -> PyResult<Self> {
let tokenizer: PyResult<_> = ToPyResult(json.parse()).into();
Ok(Self::new(tokenizer?))
}
/// Instantiate a new :class:`~tokenizers.Tokenizer` from the file at the given path.
///
/// Args:
/// path (:obj:`str`):
/// A path to a local JSON file representing a previously serialized
/// :class:`~tokenizers.Tokenizer`
///
/// Returns:
/// :class:`~tokenizers.Tokenizer`: The new tokenizer
#[staticmethod]
#[pyo3(text_signature = "(path)")]
fn from_file(path: &str) -> PyResult<Self> {
let tokenizer: PyResult<_> = ToPyResult(Tokenizer::from_file(path)).into();
Ok(Self::new(tokenizer?))
}
/// Instantiate a new :class:`~tokenizers.Tokenizer` from the given buffer.
///
/// Args:
/// buffer (:obj:`bytes`):
/// A buffer containing a previously serialized :class:`~tokenizers.Tokenizer`
///
/// Returns:
/// :class:`~tokenizers.Tokenizer`: The new tokenizer
#[staticmethod]
#[pyo3(text_signature = "(buffer)")]
fn from_buffer(buffer: &PyBytes) -> PyResult<Self> {
let tokenizer = serde_json::from_slice(buffer.as_bytes()).map_err(|e| {
exceptions::PyValueError::new_err(format!(
"Cannot instantiate Tokenizer from buffer: {}",
e
))
})?;
Ok(Self { tokenizer })
}
/// Instantiate a new :class:`~tokenizers.Tokenizer` from an existing file on the
/// Hugging Face Hub.
///
/// Args:
/// identifier (:obj:`str`):
/// The identifier of a Model on the Hugging Face Hub, that contains
/// a tokenizer.json file
/// revision (:obj:`str`, defaults to `main`):
/// A branch or commit id
/// auth_token (:obj:`str`, `optional`, defaults to `None`):
/// An optional auth token used to access private repositories on the
/// Hugging Face Hub
///
/// Returns:
/// :class:`~tokenizers.Tokenizer`: The new tokenizer
#[staticmethod]
#[pyo3(signature = (identifier, revision = String::from("main"), auth_token = None))]
#[pyo3(text_signature = "(identifier, revision=\"main\", auth_token=None)")]
fn from_pretrained(
identifier: &str,
revision: String,
auth_token: Option<String>,
) -> PyResult<Self> {
let path = Python::with_gil(|py| -> PyResult<String> {
let huggingface_hub = PyModule::import(py, intern!(py, "huggingface_hub"))?;
let hf_hub_download = huggingface_hub.getattr(intern!(py, "hf_hub_download"))?;
let kwargs = [
(intern!(py, "repo_id"), identifier),
(intern!(py, "filename"), "tokenizer.json"),
(intern!(py, "revision"), &revision),
]
.into_py_dict(py);
if let Some(auth_token) = auth_token {
kwargs.set_item(intern!(py, "token"), auth_token)?;
}
let path: String = hf_hub_download.call((), Some(kwargs))?.extract()?;
Ok(path)
})?;
let tokenizer: PyResult<_> = ToPyResult(Tokenizer::from_file(path)).into();
Ok(Self::new(tokenizer?))
}
/// Gets a serialized string representing this :class:`~tokenizers.Tokenizer`.
///
/// Args:
/// pretty (:obj:`bool`, defaults to :obj:`False`):
/// Whether the JSON string should be pretty formatted.
///
/// Returns:
/// :obj:`str`: A string representing the serialized Tokenizer
#[pyo3(signature = (pretty = false))]
#[pyo3(text_signature = "(self, pretty=False)")]
fn to_str(&self, pretty: bool) -> PyResult<String> {
ToPyResult(self.tokenizer.to_string(pretty)).into()
}
/// Save the :class:`~tokenizers.Tokenizer` to the file at the given path.
///
/// Args:
/// path (:obj:`str`):
/// A path to a file in which to save the serialized tokenizer.
///
/// pretty (:obj:`bool`, defaults to :obj:`True`):
/// Whether the JSON file should be pretty formatted.
#[pyo3(signature = (path, pretty = true))]
#[pyo3(text_signature = "(self, path, pretty=True)")]
fn save(&self, path: &str, pretty: bool) -> PyResult<()> {
ToPyResult(self.tokenizer.save(path, pretty)).into()
}
/// Return the number of special tokens that would be added for single/pair sentences.
/// :param is_pair: Boolean indicating if the input would be a single sentence or a pair
/// :return:
#[pyo3(text_signature = "(self, is_pair)")]
fn num_special_tokens_to_add(&self, is_pair: bool) -> usize {
self.tokenizer
.get_post_processor()
.map_or(0, |p| p.added_tokens(is_pair))
}
/// Get the underlying vocabulary
///
/// Args:
/// with_added_tokens (:obj:`bool`, defaults to :obj:`True`):
/// Whether to include the added tokens
///
/// Returns:
/// :obj:`Dict[str, int]`: The vocabulary
#[pyo3(signature = (with_added_tokens = true))]
#[pyo3(text_signature = "(self, with_added_tokens=True)")]
fn get_vocab(&self, with_added_tokens: bool) -> HashMap<String, u32> {
self.tokenizer.get_vocab(with_added_tokens)
}
/// Get the underlying vocabulary
///
/// Returns:
/// :obj:`Dict[int, AddedToken]`: The vocabulary
#[pyo3(signature = ())]
#[pyo3(text_signature = "(self)")]
fn get_added_tokens_decoder(&self) -> BTreeMap<u32, PyAddedToken> {
let mut sorted_map = BTreeMap::new();
for (key, value) in self.tokenizer.get_added_tokens_decoder() {
sorted_map.insert(key, value.into());
}
sorted_map
}
/// Get the size of the underlying vocabulary
///
/// Args:
/// with_added_tokens (:obj:`bool`, defaults to :obj:`True`):
/// Whether to include the added tokens
///
/// Returns:
/// :obj:`int`: The size of the vocabulary
#[pyo3(signature = (with_added_tokens = true))]
#[pyo3(text_signature = "(self, with_added_tokens=True)")]
fn get_vocab_size(&self, with_added_tokens: bool) -> usize {
self.tokenizer.get_vocab_size(with_added_tokens)
}
/// Enable truncation
///
/// Args:
/// max_length (:obj:`int`):
/// The max length at which to truncate
///
/// stride (:obj:`int`, `optional`):
/// The length of the previous first sequence to be included in the overflowing
/// sequence
///
/// strategy (:obj:`str`, `optional`, defaults to :obj:`longest_first`):
/// The strategy used to truncation. Can be one of ``longest_first``, ``only_first`` or
/// ``only_second``.
///
/// direction (:obj:`str`, defaults to :obj:`right`):
/// Truncate direction
#[pyo3(signature = (max_length, **kwargs))]
#[pyo3(
text_signature = "(self, max_length, stride=0, strategy='longest_first', direction='right')"
)]
fn enable_truncation(&mut self, max_length: usize, kwargs: Option<&PyDict>) -> PyResult<()> {
let mut params = TruncationParams {
max_length,
..Default::default()
};
if let Some(kwargs) = kwargs {
for (key, value) in kwargs {
let key: &str = key.extract()?;
match key {
"stride" => params.stride = value.extract()?,
"strategy" => {
let value: &str = value.extract()?;
params.strategy = match value {
"longest_first" => Ok(TruncationStrategy::LongestFirst),
"only_first" => Ok(TruncationStrategy::OnlyFirst),
"only_second" => Ok(TruncationStrategy::OnlySecond),
_ => Err(PyError(format!(
"Unknown `strategy`: `{}`. Use \
one of `longest_first`, `only_first`, or `only_second`",
value
))
.into_pyerr::<exceptions::PyValueError>()),
}?
}
"direction" => {
let value: &str = value.extract()?;
params.direction = match value {
"left" => Ok(TruncationDirection::Left),
"right" => Ok(TruncationDirection::Right),
_ => Err(PyError(format!(
"Unknown `direction`: `{}`. Use \
one of `left` or `right`.",
value
))
.into_pyerr::<exceptions::PyValueError>()),
}?
}
_ => println!("Ignored unknown kwarg option {}", key),
}
}
}
if let Err(error_message) = self.tokenizer.with_truncation(Some(params)) {
return Err(PyError(error_message.to_string()).into_pyerr::<exceptions::PyValueError>());
}
Ok(())
}
/// Disable truncation
#[pyo3(text_signature = "(self)")]
fn no_truncation(&mut self) {
self.tokenizer
.with_truncation(None)
.expect("Failed to set truncation to `None`! This should never happen");
}
/// Get the currently set truncation parameters
///
/// `Cannot set, use` :meth:`~tokenizers.Tokenizer.enable_truncation` `instead`
///
/// Returns:
/// (:obj:`dict`, `optional`):
/// A dict with the current truncation parameters if truncation is enabled
#[getter]
fn get_truncation<'py>(&self, py: Python<'py>) -> PyResult<Option<&'py PyDict>> {
self.tokenizer.get_truncation().map_or(Ok(None), |params| {
let dict = PyDict::new(py);
dict.set_item("max_length", params.max_length)?;
dict.set_item("stride", params.stride)?;
dict.set_item("strategy", params.strategy.as_ref())?;
dict.set_item("direction", params.direction.as_ref())?;
Ok(Some(dict))
})
}
/// Enable the padding
///
/// Args:
/// direction (:obj:`str`, `optional`, defaults to :obj:`right`):
/// The direction in which to pad. Can be either ``right`` or ``left``
///
/// pad_to_multiple_of (:obj:`int`, `optional`):
/// If specified, the padding length should always snap to the next multiple of the
/// given value. For example if we were going to pad witha length of 250 but
/// ``pad_to_multiple_of=8`` then we will pad to 256.
///
/// pad_id (:obj:`int`, defaults to 0):
/// The id to be used when padding
///
/// pad_type_id (:obj:`int`, defaults to 0):
/// The type id to be used when padding
///
/// pad_token (:obj:`str`, defaults to :obj:`[PAD]`):
/// The pad token to be used when padding
///
/// length (:obj:`int`, `optional`):
/// If specified, the length at which to pad. If not specified we pad using the size of
/// the longest sequence in a batch.
#[pyo3(signature = (**kwargs))]
#[pyo3(
text_signature = "(self, direction='right', pad_id=0, pad_type_id=0, pad_token='[PAD]', length=None, pad_to_multiple_of=None)"
)]
fn enable_padding(&mut self, kwargs: Option<&PyDict>) -> PyResult<()> {
let mut params = PaddingParams::default();
if let Some(kwargs) = kwargs {
for (key, value) in kwargs {
let key: &str = key.extract()?;
match key {
"direction" => {
let value: &str = value.extract()?;
params.direction = match value {
"left" => Ok(PaddingDirection::Left),
"right" => Ok(PaddingDirection::Right),
other => Err(PyError(format!(
"Unknown `direction`: `{}`. Use \
one of `left` or `right`",
other
))
.into_pyerr::<exceptions::PyValueError>()),
}?;
}
"pad_to_multiple_of" => {
if let Some(multiple) = value.extract()? {
params.pad_to_multiple_of = multiple;
}
}
"pad_id" => params.pad_id = value.extract()?,
"pad_type_id" => params.pad_type_id = value.extract()?,
"pad_token" => params.pad_token = value.extract()?,
"max_length" => {
println!(
"enable_padding(max_length=X) is deprecated, \
use enable_padding(length=X) instead"
);
if let Some(l) = value.extract()? {
params.strategy = PaddingStrategy::Fixed(l);
} else {
params.strategy = PaddingStrategy::BatchLongest;
}
}
"length" => {
if let Some(l) = value.extract()? {
params.strategy = PaddingStrategy::Fixed(l);
} else {
params.strategy = PaddingStrategy::BatchLongest;
}
}
_ => println!("Ignored unknown kwarg option {}", key),
}
}
}
self.tokenizer.with_padding(Some(params));
Ok(())
}
/// Disable padding
#[pyo3(text_signature = "(self)")]
fn no_padding(&mut self) {
self.tokenizer.with_padding(None);
}
/// Get the current padding parameters
///
/// `Cannot be set, use` :meth:`~tokenizers.Tokenizer.enable_padding` `instead`
///
/// Returns:
/// (:obj:`dict`, `optional`):
/// A dict with the current padding parameters if padding is enabled
#[getter]
fn get_padding<'py>(&self, py: Python<'py>) -> PyResult<Option<&'py PyDict>> {
self.tokenizer.get_padding().map_or(Ok(None), |params| {
let dict = PyDict::new(py);
dict.set_item(
"length",
match params.strategy {
tk::PaddingStrategy::BatchLongest => None,
tk::PaddingStrategy::Fixed(size) => Some(size),
},
)?;
dict.set_item("pad_to_multiple_of", params.pad_to_multiple_of)?;
dict.set_item("pad_id", params.pad_id)?;
dict.set_item("pad_token", ¶ms.pad_token)?;
dict.set_item("pad_type_id", params.pad_type_id)?;
dict.set_item("direction", params.direction.as_ref())?;
Ok(Some(dict))
})
}
/// Encode the given sequence and pair. This method can process raw text sequences
/// as well as already pre-tokenized sequences.
///
/// Example:
/// Here are some examples of the inputs that are accepted::
///
/// encode("A single sequence")`
/// encode("A sequence", "And its pair")`
/// encode([ "A", "pre", "tokenized", "sequence" ], is_pretokenized=True)`
/// encode(
/// [ "A", "pre", "tokenized", "sequence" ], [ "And", "its", "pair" ],
/// is_pretokenized=True
/// )
///
/// Args:
/// sequence (:obj:`~tokenizers.InputSequence`):
/// The main input sequence we want to encode. This sequence can be either raw
/// text or pre-tokenized, according to the ``is_pretokenized`` argument:
///
/// - If ``is_pretokenized=False``: :class:`~tokenizers.TextInputSequence`
/// - If ``is_pretokenized=True``: :class:`~tokenizers.PreTokenizedInputSequence`
///
/// pair (:obj:`~tokenizers.InputSequence`, `optional`):
/// An optional input sequence. The expected format is the same that for ``sequence``.
///
/// is_pretokenized (:obj:`bool`, defaults to :obj:`False`):
/// Whether the input is already pre-tokenized
///
/// add_special_tokens (:obj:`bool`, defaults to :obj:`True`):
/// Whether to add the special tokens
///
/// Returns:
/// :class:`~tokenizers.Encoding`: The encoded result
///
#[pyo3(signature = (sequence, pair = None, is_pretokenized = false, add_special_tokens = true))]
#[pyo3(
text_signature = "(self, sequence, pair=None, is_pretokenized=False, add_special_tokens=True)"
)]
fn encode(
&self,
sequence: &PyAny,
pair: Option<&PyAny>,
is_pretokenized: bool,
add_special_tokens: bool,
) -> PyResult<PyEncoding> {
let sequence: tk::InputSequence = if is_pretokenized {
sequence.extract::<PreTokenizedInputSequence>()?.into()
} else {
sequence.extract::<TextInputSequence>()?.into()
};
let input = match pair {
Some(pair) => {
let pair: tk::InputSequence = if is_pretokenized {
pair.extract::<PreTokenizedInputSequence>()?.into()
} else {
pair.extract::<TextInputSequence>()?.into()
};
tk::EncodeInput::Dual(sequence, pair)
}
None => tk::EncodeInput::Single(sequence),
};
ToPyResult(
self.tokenizer
.encode_char_offsets(input, add_special_tokens)
.map(|e| e.into()),
)
.into()
}
/// Encode the given batch of inputs. This method accept both raw text sequences
/// as well as already pre-tokenized sequences.
///
/// Example:
/// Here are some examples of the inputs that are accepted::
///
/// encode_batch([
/// "A single sequence",
/// ("A tuple with a sequence", "And its pair"),
/// [ "A", "pre", "tokenized", "sequence" ],
/// ([ "A", "pre", "tokenized", "sequence" ], "And its pair")
/// ])
///
/// Args:
/// input (A :obj:`List`/:obj:`Tuple` of :obj:`~tokenizers.EncodeInput`):
/// A list of single sequences or pair sequences to encode. Each sequence
/// can be either raw text or pre-tokenized, according to the ``is_pretokenized``
/// argument:
///
/// - If ``is_pretokenized=False``: :class:`~tokenizers.TextEncodeInput`
/// - If ``is_pretokenized=True``: :class:`~tokenizers.PreTokenizedEncodeInput`
///
/// is_pretokenized (:obj:`bool`, defaults to :obj:`False`):
/// Whether the input is already pre-tokenized
///
/// add_special_tokens (:obj:`bool`, defaults to :obj:`True`):
/// Whether to add the special tokens
///
/// Returns:
/// A :obj:`List` of :class:`~tokenizers.Encoding`: The encoded batch
///
#[pyo3(signature = (input, is_pretokenized = false, add_special_tokens = true))]
#[pyo3(text_signature = "(self, input, is_pretokenized=False, add_special_tokens=True)")]
fn encode_batch(
&self,
py: Python<'_>,
input: Vec<&PyAny>,
is_pretokenized: bool,
add_special_tokens: bool,
) -> PyResult<Vec<PyEncoding>> {
let input: Vec<tk::EncodeInput> = input
.into_iter()
.map(|o| {
let input: tk::EncodeInput = if is_pretokenized {
o.extract::<PreTokenizedEncodeInput>()?.into()
} else {
o.extract::<TextEncodeInput>()?.into()
};
Ok(input)
})
.collect::<PyResult<Vec<tk::EncodeInput>>>()?;
py.allow_threads(|| {
ToPyResult(
self.tokenizer
.encode_batch_char_offsets(input, add_special_tokens)
.map(|encodings| encodings.into_iter().map(|e| e.into()).collect()),
)
.into()
})
}
/// Decode the given list of ids back to a string
///
/// This is used to decode anything coming back from a Language Model
///
/// Args:
/// ids (A :obj:`List/Tuple` of :obj:`int`):
/// The list of ids that we want to decode
///
/// skip_special_tokens (:obj:`bool`, defaults to :obj:`True`):
/// Whether the special tokens should be removed from the decoded string
///
/// Returns:
/// :obj:`str`: The decoded string
#[pyo3(signature = (ids, skip_special_tokens = true))]
#[pyo3(text_signature = "(self, ids, skip_special_tokens=True)")]
fn decode(&self, ids: Vec<u32>, skip_special_tokens: bool) -> PyResult<String> {
ToPyResult(self.tokenizer.decode(&ids, skip_special_tokens)).into()
}
/// Decode a batch of ids back to their corresponding string
///
/// Args:
/// sequences (:obj:`List` of :obj:`List[int]`):
/// The batch of sequences we want to decode
///
/// skip_special_tokens (:obj:`bool`, defaults to :obj:`True`):
/// Whether the special tokens should be removed from the decoded strings
///
/// Returns:
/// :obj:`List[str]`: A list of decoded strings
#[pyo3(signature = (sequences, skip_special_tokens = true))]
#[pyo3(text_signature = "(self, sequences, skip_special_tokens=True)")]
fn decode_batch(
&self,
py: Python<'_>,
sequences: Vec<Vec<u32>>,
skip_special_tokens: bool,
) -> PyResult<Vec<String>> {
py.allow_threads(|| {
let slices = sequences.iter().map(|v| &v[..]).collect::<Vec<&[u32]>>();
ToPyResult(self.tokenizer.decode_batch(&slices, skip_special_tokens)).into()
})
}
/// Convert the given token to its corresponding id if it exists
///
/// Args:
/// token (:obj:`str`):
/// The token to convert
///
/// Returns:
/// :obj:`Optional[int]`: An optional id, :obj:`None` if out of vocabulary
#[pyo3(text_signature = "(self, token)")]
fn token_to_id(&self, token: &str) -> Option<u32> {
self.tokenizer.token_to_id(token)
}
/// Convert the given id to its corresponding token if it exists
///
/// Args:
/// id (:obj:`int`):
/// The id to convert
///
/// Returns:
/// :obj:`Optional[str]`: An optional token, :obj:`None` if out of vocabulary
#[pyo3(text_signature = "(self, id)")]
fn id_to_token(&self, id: u32) -> Option<String> {
self.tokenizer.id_to_token(id)
}
/// Add the given tokens to the vocabulary
///
/// The given tokens are added only if they don't already exist in the vocabulary.
/// Each token then gets a new attributed id.
///
/// Args:
/// tokens (A :obj:`List` of :class:`~tokenizers.AddedToken` or :obj:`str`):
/// The list of tokens we want to add to the vocabulary. Each token can be either a
/// string or an instance of :class:`~tokenizers.AddedToken` for more customization.
///
/// Returns:
/// :obj:`int`: The number of tokens that were created in the vocabulary
#[pyo3(text_signature = "(self, tokens)")]
fn add_tokens(&mut self, tokens: &PyList) -> PyResult<usize> {
let tokens = tokens
.into_iter()
.map(|token| {
if let Ok(content) = token.extract::<String>() {
Ok(PyAddedToken::from(content, Some(false)).get_token())
} else if let Ok(mut token) = token.extract::<PyRefMut<PyAddedToken>>() {
token.special = false;
Ok(token.get_token())
} else {
Err(exceptions::PyTypeError::new_err(
"Input must be a List[Union[str, AddedToken]]",
))
}
})
.collect::<PyResult<Vec<_>>>()?;
Ok(self.tokenizer.add_tokens(&tokens))
}
/// Add the given special tokens to the Tokenizer.
///
/// If these tokens are already part of the vocabulary, it just let the Tokenizer know about
/// them. If they don't exist, the Tokenizer creates them, giving them a new id.
///
/// These special tokens will never be processed by the model (ie won't be split into
/// multiple tokens), and they can be removed from the output when decoding.
///
/// Args:
/// tokens (A :obj:`List` of :class:`~tokenizers.AddedToken` or :obj:`str`):
/// The list of special tokens we want to add to the vocabulary. Each token can either
/// be a string or an instance of :class:`~tokenizers.AddedToken` for more
/// customization.
///
/// Returns:
/// :obj:`int`: The number of tokens that were created in the vocabulary
#[pyo3(text_signature = "(self, tokens)")]
fn add_special_tokens(&mut self, tokens: &PyList) -> PyResult<usize> {
let tokens = tokens
.into_iter()
.map(|token| {
if let Ok(content) = token.extract::<String>() {
Ok(tk::tokenizer::AddedToken::from(content, true))
} else if let Ok(mut token) = token.extract::<PyRefMut<PyAddedToken>>() {
token.special = true;
Ok(token.get_token())
} else {
Err(exceptions::PyTypeError::new_err(
"Input must be a List[Union[str, AddedToken]]",
))
}
})
.collect::<PyResult<Vec<_>>>()?;
Ok(self.tokenizer.add_special_tokens(&tokens))
}
/// Train the Tokenizer using the given files.
///
/// Reads the files line by line, while keeping all the whitespace, even new lines.
/// If you want to train from data store in-memory, you can check
/// :meth:`~tokenizers.Tokenizer.train_from_iterator`
///
/// Args:
/// files (:obj:`List[str]`):
/// A list of path to the files that we should use for training
///
/// trainer (:obj:`~tokenizers.trainers.Trainer`, `optional`):
/// An optional trainer that should be used to train our Model
#[pyo3(signature = (files, trainer = None))]
#[pyo3(text_signature = "(self, files, trainer = None)")]
fn train(&mut self, files: Vec<String>, trainer: Option<&mut PyTrainer>) -> PyResult<()> {
let mut trainer =
trainer.map_or_else(|| self.tokenizer.get_model().get_trainer(), |t| t.clone());
Python::with_gil(|py| {
py.allow_threads(|| {
ToPyResult(
self.tokenizer
.train_from_files(&mut trainer, files)
.map(|_| {}),
)
.into()
})
})
}
/// Train the Tokenizer using the provided iterator.
///
/// You can provide anything that is a Python Iterator
///
/// * A list of sequences :obj:`List[str]`
/// * A generator that yields :obj:`str` or :obj:`List[str]`
/// * A Numpy array of strings
/// * ...
///
/// Args:
/// iterator (:obj:`Iterator`):
/// Any iterator over strings or list of strings
///
/// trainer (:obj:`~tokenizers.trainers.Trainer`, `optional`):
/// An optional trainer that should be used to train our Model
///
/// length (:obj:`int`, `optional`):
/// The total number of sequences in the iterator. This is used to
/// provide meaningful progress tracking
#[pyo3(signature = (iterator, trainer = None, length = None))]
#[pyo3(text_signature = "(self, iterator, trainer=None, length=None)")]
fn train_from_iterator(
&mut self,
py: Python,
iterator: &PyAny,
trainer: Option<&mut PyTrainer>,
length: Option<usize>,
) -> PyResult<()> {
let mut trainer =
trainer.map_or_else(|| self.tokenizer.get_model().get_trainer(), |t| t.clone());
let buffered_iter = PyBufferedIterator::new(
iterator,
|element| {
// Each element of the iterator can either be:
// - An iterator, to allow batching
// - A string
if let Ok(s) = element.downcast::<PyString>() {
itertools::Either::Right(std::iter::once(s.to_str().map(|s| s.to_owned())))
} else {
match element.iter() {
Ok(iter) => itertools::Either::Left(
iter.map(|i| i?.extract::<String>())
.collect::<Vec<_>>()
.into_iter(),
),
Err(e) => itertools::Either::Right(std::iter::once(Err(e))),
}
}
},
256,
)?;
py.allow_threads(|| {
ResultShunt::process(buffered_iter, |iter| {
self.tokenizer
.train(&mut trainer, MaybeSizedIterator::new(iter, length))
.map(|_| {})
.map_err(|e| exceptions::PyException::new_err(e.to_string()))
})?
})
}
/// Apply all the post-processing steps to the given encodings.
///
/// The various steps are:
///
/// 1. Truncate according to the set truncation params (provided with
/// :meth:`~tokenizers.Tokenizer.enable_truncation`)
/// 2. Apply the :class:`~tokenizers.processors.PostProcessor`
/// 3. Pad according to the set padding params (provided with
/// :meth:`~tokenizers.Tokenizer.enable_padding`)
///
/// Args:
/// encoding (:class:`~tokenizers.Encoding`):
/// The :class:`~tokenizers.Encoding` corresponding to the main sequence.
///
/// pair (:class:`~tokenizers.Encoding`, `optional`):
/// An optional :class:`~tokenizers.Encoding` corresponding to the pair sequence.
///
/// add_special_tokens (:obj:`bool`):
/// Whether to add the special tokens
///
/// Returns:
/// :class:`~tokenizers.Encoding`: The final post-processed encoding
#[pyo3(signature = (encoding, pair = None, add_special_tokens = true))]
#[pyo3(text_signature = "(self, encoding, pair=None, add_special_tokens=True)")]
fn post_process(
&self,
encoding: &PyEncoding,
pair: Option<&PyEncoding>,
add_special_tokens: bool,
) -> PyResult<PyEncoding> {
ToPyResult(
self.tokenizer
.post_process(
encoding.encoding.clone(),
pair.map(|p| p.encoding.clone()),
add_special_tokens,
)
.map(|e| e.into()),
)
.into()
}
/// The :class:`~tokenizers.models.Model` in use by the Tokenizer
#[getter]
fn get_model(&self, py: Python<'_>) -> PyResult<PyObject> {
self.tokenizer.get_model().get_as_subtype(py)
}
/// Set the :class:`~tokenizers.models.Model`
#[setter]
fn set_model(&mut self, model: PyRef<PyModel>) {
self.tokenizer.with_model(model.clone());
}
/// The `optional` :class:`~tokenizers.normalizers.Normalizer` in use by the Tokenizer
#[getter]
fn get_normalizer(&self, py: Python<'_>) -> PyResult<PyObject> {
if let Some(n) = self.tokenizer.get_normalizer() {
n.get_as_subtype(py)
} else {
Ok(py.None())
}
}
/// Set the :class:`~tokenizers.normalizers.Normalizer`
#[setter]
fn set_normalizer(&mut self, normalizer: PyRef<PyNormalizer>) {
self.tokenizer.with_normalizer(normalizer.clone());
}
/// The `optional` :class:`~tokenizers.pre_tokenizers.PreTokenizer` in use by the Tokenizer
#[getter]
fn get_pre_tokenizer(&self, py: Python<'_>) -> PyResult<PyObject> {
if let Some(pt) = self.tokenizer.get_pre_tokenizer() {
pt.get_as_subtype(py)
} else {
Ok(py.None())
}
}
/// Set the :class:`~tokenizers.normalizers.Normalizer`
#[setter]
fn set_pre_tokenizer(&mut self, pretok: PyRef<PyPreTokenizer>) {
self.tokenizer.with_pre_tokenizer(pretok.clone());
}
/// The `optional` :class:`~tokenizers.processors.PostProcessor` in use by the Tokenizer
#[getter]
fn get_post_processor(&self, py: Python<'_>) -> PyResult<PyObject> {
if let Some(n) = self.tokenizer.get_post_processor() {
n.get_as_subtype(py)
} else {
Ok(py.None())
}
}
/// Set the :class:`~tokenizers.processors.PostProcessor`
#[setter]
fn set_post_processor(&mut self, processor: PyRef<PyPostProcessor>) {
self.tokenizer.with_post_processor(processor.clone());
}
/// The `optional` :class:`~tokenizers.decoders.Decoder` in use by the Tokenizer
#[getter]
fn get_decoder(&self, py: Python<'_>) -> PyResult<PyObject> {
if let Some(dec) = self.tokenizer.get_decoder() {
dec.get_as_subtype(py)
} else {
Ok(py.None())
}
}
/// Set the :class:`~tokenizers.decoders.Decoder`
#[setter]
fn set_decoder(&mut self, decoder: PyRef<PyDecoder>) {
self.tokenizer.with_decoder(decoder.clone());
}
}
#[cfg(test)]
mod test {
use super::*;
use crate::models::PyModel;
use crate::normalizers::{PyNormalizer, PyNormalizerTypeWrapper};
use std::sync::{Arc, RwLock};
use tempfile::NamedTempFile;
use tk::normalizers::{Lowercase, NFKC};
#[test]
fn serialize() {
let mut tokenizer = Tokenizer::new(PyModel::from(BPE::default()));
tokenizer.with_normalizer(PyNormalizer::new(PyNormalizerTypeWrapper::Sequence(vec![
Arc::new(RwLock::new(NFKC.into())),
Arc::new(RwLock::new(Lowercase.into())),
])));
let tmp = NamedTempFile::new().unwrap().into_temp_path();
tokenizer.save(&tmp, false).unwrap();
Tokenizer::from_file(&tmp).unwrap();
}
}
| 0
|
hf_public_repos/tokenizers/bindings/python/src
|
hf_public_repos/tokenizers/bindings/python/src/utils/regex.rs
|
use onig::Regex;
use pyo3::exceptions;
use pyo3::prelude::*;
/// Instantiate a new Regex with the given pattern
#[pyclass(module = "tokenizers", name = "Regex")]
pub struct PyRegex {
pub inner: Regex,
pub pattern: String,
}
#[pymethods]
impl PyRegex {
#[new]
#[pyo3(text_signature = "(self, pattern)")]
fn new(s: &str) -> PyResult<Self> {
Ok(Self {
inner: Regex::new(s)
.map_err(|e| exceptions::PyException::new_err(e.description().to_owned()))?,
pattern: s.to_owned(),
})
}
}
| 0
|
hf_public_repos/tokenizers/bindings/python/src
|
hf_public_repos/tokenizers/bindings/python/src/utils/mod.rs
|
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use std::marker::PhantomData;
use std::sync::{Arc, Mutex};
mod iterators;
mod normalization;
mod pretokenization;
mod regex;
pub use iterators::*;
pub use normalization::*;
pub use pretokenization::*;
pub use regex::*;
// PyChar
// This type is a temporary hack to accept `char` as argument
// To be removed once https://github.com/PyO3/pyo3/pull/1282 has been released
pub struct PyChar(pub char);
impl FromPyObject<'_> for PyChar {
fn extract(obj: &PyAny) -> PyResult<Self> {
let s = <PyString as PyTryFrom<'_>>::try_from(obj)?.to_str()?;
let mut iter = s.chars();
if let (Some(ch), None) = (iter.next(), iter.next()) {
Ok(Self(ch))
} else {
Err(exceptions::PyValueError::new_err(
"expected a string of length 1",
))
}
}
}
// RefMut utils
pub trait DestroyPtr {
fn destroy(&mut self);
}
pub struct RefMutGuard<'r, T: DestroyPtr + Clone> {
content: T,
r: PhantomData<&'r mut T>,
}
impl<T: DestroyPtr + Clone> RefMutGuard<'_, T> {
pub fn new(content: T) -> Self {
Self {
content,
r: PhantomData,
}
}
pub fn get(&self) -> T {
self.content.clone()
}
}
impl<T: DestroyPtr + Clone> Drop for RefMutGuard<'_, T> {
fn drop(&mut self) {
self.content.destroy()
}
}
#[derive(Clone)]
pub struct RefMutContainer<T> {
inner: Arc<Mutex<Option<*mut T>>>,
}
impl<T> RefMutContainer<T> {
pub fn new(content: &mut T) -> Self {
Self {
inner: Arc::new(Mutex::new(Some(content))),
}
}
pub fn map<F: FnOnce(&T) -> U, U>(&self, f: F) -> Option<U> {
let lock = self.inner.lock().unwrap();
let ptr = lock.as_ref()?;
Some(f(unsafe { ptr.as_ref().unwrap() }))
}
pub fn map_mut<F: FnOnce(&mut T) -> U, U>(&mut self, f: F) -> Option<U> {
let lock = self.inner.lock().unwrap();
let ptr = lock.as_ref()?;
Some(f(unsafe { ptr.as_mut().unwrap() }))
}
}
impl<T> DestroyPtr for RefMutContainer<T> {
fn destroy(&mut self) {
self.inner.lock().unwrap().take();
}
}
unsafe impl<T: Send> Send for RefMutContainer<T> {}
unsafe impl<T: Sync> Sync for RefMutContainer<T> {}
| 0
|
hf_public_repos/tokenizers/bindings/python/src
|
hf_public_repos/tokenizers/bindings/python/src/utils/normalization.rs
|
use super::regex::PyRegex;
use super::{DestroyPtr, RefMutContainer, RefMutGuard};
use crate::error::ToPyResult;
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use tk::normalizer::{char_to_bytes, NormalizedString, Range, SplitDelimiterBehavior};
use tk::pattern::Pattern;
/// Represents a Pattern as used by `NormalizedString`
#[derive(Clone, FromPyObject)]
pub enum PyPattern<'p> {
#[pyo3(annotation = "str")]
Str(&'p str),
#[pyo3(annotation = "tokenizers.Regex")]
Regex(Py<PyRegex>),
// TODO: Add the compatibility for Fn(char) -> bool
}
impl Pattern for PyPattern<'_> {
fn find_matches(&self, inside: &str) -> tk::Result<Vec<(tk::Offsets, bool)>> {
match self {
PyPattern::Str(s) => {
let mut chars = s.chars();
if let (Some(c), None) = (chars.next(), chars.next()) {
c.find_matches(inside)
} else {
s.find_matches(inside)
}
}
PyPattern::Regex(r) => {
Python::with_gil(|py| (&r.borrow(py).inner).find_matches(inside))
}
}
}
}
impl From<PyPattern<'_>> for tk::normalizers::replace::ReplacePattern {
fn from(pattern: PyPattern<'_>) -> Self {
match pattern {
PyPattern::Str(s) => Self::String(s.to_owned()),
PyPattern::Regex(r) => Python::with_gil(|py| Self::Regex(r.borrow(py).pattern.clone())),
}
}
}
impl From<PyPattern<'_>> for tk::pre_tokenizers::split::SplitPattern {
fn from(pattern: PyPattern<'_>) -> Self {
match pattern {
PyPattern::Str(s) => Self::String(s.to_owned()),
PyPattern::Regex(r) => Python::with_gil(|py| Self::Regex(r.borrow(py).pattern.clone())),
}
}
}
#[derive(Debug, Clone, FromPyObject)]
pub enum PyRange<'s> {
#[pyo3(annotation = "int")]
Single(isize),
#[pyo3(annotation = "Tuple[uint, uint]")]
Range(usize, usize),
#[pyo3(annotation = "slice")]
Slice(&'s PySlice),
}
impl PyRange<'_> {
pub fn to_range(&self, max_len: usize) -> PyResult<std::ops::Range<usize>> {
match self {
PyRange::Single(i) => {
if i.is_negative() {
let i = -i as usize;
if i > max_len {
Err(exceptions::PyValueError::new_err(format!(
"{} is bigger than max len",
i
)))
} else {
Ok(max_len - i..max_len - i + 1)
}
} else {
let i = *i as usize;
Ok(i..i + 1)
}
}
PyRange::Range(s, e) => Ok(*s..*e),
PyRange::Slice(s) => {
let r = s.indices(max_len as std::os::raw::c_long)?;
Ok(r.start as usize..r.stop as usize)
}
}
}
}
#[derive(Clone)]
pub struct PySplitDelimiterBehavior(pub SplitDelimiterBehavior);
impl FromPyObject<'_> for PySplitDelimiterBehavior {
fn extract(obj: &PyAny) -> PyResult<Self> {
let s = obj.extract::<&str>()?;
Ok(Self(match s {
"removed" => Ok(SplitDelimiterBehavior::Removed),
"isolated" => Ok(SplitDelimiterBehavior::Isolated),
"merged_with_previous" => Ok(SplitDelimiterBehavior::MergedWithPrevious),
"merged_with_next" => Ok(SplitDelimiterBehavior::MergedWithNext),
"contiguous" => Ok(SplitDelimiterBehavior::Contiguous),
_ => Err(exceptions::PyValueError::new_err(
"Wrong value for SplitDelimiterBehavior, expected one of: \
`removed, isolated, merged_with_previous, merged_with_next, contiguous`",
)),
}?))
}
}
impl From<PySplitDelimiterBehavior> for SplitDelimiterBehavior {
fn from(v: PySplitDelimiterBehavior) -> Self {
v.0
}
}
fn filter(normalized: &mut NormalizedString, func: &PyAny) -> PyResult<()> {
let err = "`filter` expect a callable with the signature: `fn(char) -> bool`";
if !func.is_callable() {
Err(exceptions::PyTypeError::new_err(err))
} else {
normalized.filter(|c| {
func.call1((c.to_string(),))
.expect(err)
.extract()
.expect(err)
});
Ok(())
}
}
fn for_each(normalized: &NormalizedString, func: &PyAny) -> PyResult<()> {
let err = "`for_each` expect a callable with the signature: `fn(char)`";
if !func.is_callable() {
Err(exceptions::PyTypeError::new_err(err))
} else {
normalized.for_each(|c| {
func.call1((c.to_string(),)).expect(err);
});
Ok(())
}
}
fn map(normalized: &mut NormalizedString, func: &PyAny) -> PyResult<()> {
let err = "`map` expect a callable with the signature: `fn(char) -> char`";
if !func.is_callable() {
Err(exceptions::PyTypeError::new_err(err))
} else {
normalized.map(|c| {
let c: &str = func
.call1((c.to_string(),))
.expect(err)
.extract()
.expect(err);
c.chars().next().expect(err)
});
Ok(())
}
}
fn slice(
normalized: &NormalizedString,
range: &PyRange<'_>,
) -> PyResult<Option<PyNormalizedString>> {
let n_char = normalized.len();
let char_range = range.to_range(n_char)?;
Ok(
char_to_bytes(normalized.get(), char_range).and_then(|bytes_range| {
normalized
.slice(Range::Normalized(bytes_range))
.map(|n| n.into())
}),
)
}
/// NormalizedString
///
/// A NormalizedString takes care of modifying an "original" string, to obtain a "normalized" one.
/// While making all the requested modifications, it keeps track of the alignment information
/// between the two versions of the string.
///
/// Args:
/// sequence: str:
/// The string sequence used to initialize this NormalizedString
#[pyclass(module = "tokenizers", name = "NormalizedString")]
#[derive(Clone)]
pub struct PyNormalizedString {
pub(crate) normalized: NormalizedString,
}
#[pymethods]
impl PyNormalizedString {
#[new]
#[pyo3(text_signature = None)]
fn new(s: &str) -> Self {
NormalizedString::from(s).into()
}
/// The normalized part of the string
#[getter]
fn get_normalized(&self) -> &str {
self.normalized.get()
}
#[getter]
fn get_original(&self) -> &str {
self.normalized.get_original()
}
/// Runs the NFD normalization
#[pyo3(text_signature = "(self)")]
fn nfd(&mut self) {
self.normalized.nfd();
}
/// Runs the NFKD normalization
#[pyo3(text_signature = "(self)")]
fn nfkd(&mut self) {
self.normalized.nfkd();
}
/// Runs the NFC normalization
#[pyo3(text_signature = "(self)")]
fn nfc(&mut self) {
self.normalized.nfc();
}
/// Runs the NFKC normalization
#[pyo3(text_signature = "(self)")]
fn nfkc(&mut self) {
self.normalized.nfkc();
}
/// Lowercase the string
#[pyo3(text_signature = "(self)")]
fn lowercase(&mut self) {
self.normalized.lowercase();
}
/// Uppercase the string
#[pyo3(text_signature = "(self)")]
fn uppercase(&mut self) {
self.normalized.uppercase();
}
/// Prepend the given sequence to the string
#[pyo3(text_signature = "(self, s)")]
fn prepend(&mut self, s: &str) {
self.normalized.prepend(s);
}
/// Append the given sequence to the string
#[pyo3(text_signature = "(self, s)")]
fn append(&mut self, s: &str) {
self.normalized.append(s);
}
/// Strip the left of the string
#[pyo3(text_signature = "(self)")]
fn lstrip(&mut self) {
self.normalized.lstrip();
}
/// Strip the right of the string
#[pyo3(text_signature = "(self)")]
fn rstrip(&mut self) {
self.normalized.rstrip();
}
/// Strip both ends of the string
#[pyo3(text_signature = "(self)")]
fn strip(&mut self) {
self.normalized.strip();
}
/// Clears the string
#[pyo3(text_signature = "(self)")]
fn clear(&mut self) {
self.normalized.clear();
}
/// Slice the string using the given range
#[pyo3(text_signature = "(self, range)")]
fn slice(&self, range: PyRange) -> PyResult<Option<PyNormalizedString>> {
slice(&self.normalized, &range)
}
/// Filter each character of the string using the given func
#[pyo3(text_signature = "(self, func)")]
fn filter(&mut self, func: &PyAny) -> PyResult<()> {
filter(&mut self.normalized, func)
}
/// Calls the given function for each character of the string
#[pyo3(text_signature = "(self, func)")]
fn for_each(&self, func: &PyAny) -> PyResult<()> {
for_each(&self.normalized, func)
}
/// Calls the given function for each character of the string
///
/// Replaces each character of the string using the returned value. Each
/// returned value **must** be a str of length 1 (ie a character).
#[pyo3(text_signature = "(self, func)")]
fn map(&mut self, func: &PyAny) -> PyResult<()> {
map(&mut self.normalized, func)
}
/// Split the NormalizedString using the given pattern and the specified behavior
///
/// Args:
/// pattern: Pattern:
/// A pattern used to split the string. Usually a string or a regex built with `tokenizers.Regex`
///
/// behavior: SplitDelimiterBehavior:
/// The behavior to use when splitting.
/// Choices: "removed", "isolated", "merged_with_previous", "merged_with_next",
/// "contiguous"
///
/// Returns:
/// A list of NormalizedString, representing each split
#[pyo3(text_signature = "(self, pattern, behavior)")]
fn split(
&mut self,
pattern: PyPattern,
behavior: PySplitDelimiterBehavior,
) -> PyResult<Vec<PyNormalizedString>> {
Ok(ToPyResult(self.normalized.split(pattern, behavior.into()))
.into_py()?
.into_iter()
.map(|n| n.into())
.collect())
}
/// Replace the content of the given pattern with the provided content
///
/// Args:
/// pattern: Pattern:
/// A pattern used to match the string. Usually a string or a Regex
///
/// content: str:
/// The content to be used as replacement
#[pyo3(text_signature = "(self, pattern, content)")]
fn replace(&mut self, pattern: PyPattern, content: &str) -> PyResult<()> {
ToPyResult(self.normalized.replace(pattern, content)).into()
}
fn __repr__(&self) -> String {
format!(
r#"NormalizedString(original="{}", normalized="{}")"#,
self.normalized.get_original(),
self.normalized.get()
)
}
fn __str__(&self) -> &str {
self.normalized.get()
}
fn __getitem__(&self, range: PyRange<'_>) -> PyResult<Option<PyNormalizedString>> {
slice(&self.normalized, &range)
}
}
impl From<NormalizedString> for PyNormalizedString {
fn from(normalized: NormalizedString) -> Self {
Self { normalized }
}
}
impl From<PyNormalizedString> for NormalizedString {
fn from(normalized: PyNormalizedString) -> Self {
normalized.normalized
}
}
#[pyclass(module = "tokenizers", name = "NormalizedStringRefMut")]
#[derive(Clone)]
pub struct PyNormalizedStringRefMut {
inner: RefMutContainer<NormalizedString>,
}
impl DestroyPtr for PyNormalizedStringRefMut {
fn destroy(&mut self) {
self.inner.destroy();
}
}
impl PyNormalizedStringRefMut {
pub fn new(normalized: &mut NormalizedString) -> RefMutGuard<Self> {
RefMutGuard::new(Self {
inner: RefMutContainer::new(normalized),
})
}
pub fn destroyed_error() -> PyErr {
exceptions::PyException::new_err("Cannot use a NormalizedStringRefMut outside `normalize`")
}
/// Provides a way to access a reference to the underlying NormalizedString
pub fn map_as_ref<F: FnOnce(&NormalizedString) -> U, U>(&self, f: F) -> PyResult<U> {
self.inner
.map(f)
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)
}
/// Provides a way to access a mutable reference to the underlying NormalizedString
pub fn map_as_mut<F: FnOnce(&mut NormalizedString) -> U, U>(&mut self, f: F) -> PyResult<U> {
self.inner
.map_mut(f)
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)
}
}
#[pymethods]
impl PyNormalizedStringRefMut {
#[getter]
fn get_normalized(&self) -> PyResult<String> {
self.inner
.map(|n| n.get().to_owned())
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)
}
#[getter]
fn get_original(&self) -> PyResult<String> {
self.inner
.map(|n| n.get_original().to_owned())
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)
}
fn nfd(&mut self) -> PyResult<()> {
self.inner
.map_mut(|n| {
n.nfd();
})
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)?;
Ok(())
}
fn nfkd(&mut self) -> PyResult<()> {
self.inner
.map_mut(|n| {
n.nfkd();
})
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)?;
Ok(())
}
fn nfc(&mut self) -> PyResult<()> {
self.inner
.map_mut(|n| {
n.nfc();
})
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)?;
Ok(())
}
fn nfkc(&mut self) -> PyResult<()> {
self.inner
.map_mut(|n| {
n.nfkc();
})
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)?;
Ok(())
}
fn lowercase(&mut self) -> PyResult<()> {
self.inner
.map_mut(|n| {
n.lowercase();
})
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)?;
Ok(())
}
fn uppercase(&mut self) -> PyResult<()> {
self.inner
.map_mut(|n| {
n.uppercase();
})
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)?;
Ok(())
}
fn prepend(&mut self, s: &str) -> PyResult<()> {
self.inner
.map_mut(|n| {
n.prepend(s);
})
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)?;
Ok(())
}
fn append(&mut self, s: &str) -> PyResult<()> {
self.inner
.map_mut(|n| {
n.append(s);
})
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)?;
Ok(())
}
fn lstrip(&mut self) -> PyResult<()> {
self.inner
.map_mut(|n| {
n.lstrip();
})
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)?;
Ok(())
}
fn rstrip(&mut self) -> PyResult<()> {
self.inner
.map_mut(|n| {
n.rstrip();
})
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)?;
Ok(())
}
fn strip(&mut self) -> PyResult<()> {
self.inner
.map_mut(|n| {
n.strip();
})
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)?;
Ok(())
}
fn clear(&mut self) -> PyResult<()> {
self.inner
.map_mut(|n| {
n.clear();
})
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)?;
Ok(())
}
fn slice(&self, range: PyRange) -> PyResult<Option<PyNormalizedString>> {
self.inner
.map(|n| slice(n, &range))
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)?
}
fn filter(&mut self, func: &PyAny) -> PyResult<()> {
self.inner
.map_mut(|n| filter(n, func))
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)??;
Ok(())
}
fn for_each(&self, func: &PyAny) -> PyResult<()> {
self.inner
.map(|n| for_each(n, func))
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)??;
Ok(())
}
fn map(&mut self, func: &PyAny) -> PyResult<()> {
self.inner
.map_mut(|n| map(n, func))
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)??;
Ok(())
}
fn split(
&mut self,
pattern: PyPattern,
behavior: PySplitDelimiterBehavior,
) -> PyResult<Vec<PyNormalizedString>> {
Ok(ToPyResult(
self.inner
.map_mut(|n| n.split(pattern, behavior.into()))
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)?,
)
.into_py()?
.into_iter()
.map(|n| n.into())
.collect())
}
fn replace(&mut self, pattern: PyPattern, content: &str) -> PyResult<()> {
ToPyResult(
self.inner
.map_mut(|n| n.replace(pattern, content))
.ok_or_else(PyNormalizedStringRefMut::destroyed_error)?,
)
.into()
}
}
| 0
|
hf_public_repos/tokenizers/bindings/python/src
|
hf_public_repos/tokenizers/bindings/python/src/utils/pretokenization.rs
|
use tokenizers as tk;
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use super::{
DestroyPtr, PyNormalizedString, PyNormalizedStringRefMut, RefMutContainer, RefMutGuard,
};
use crate::encoding::PyEncoding;
use crate::error::ToPyResult;
use crate::token::PyToken;
use tk::{OffsetReferential, OffsetType, Offsets, PreTokenizedString, Token};
fn split(pretok: &mut PreTokenizedString, func: &PyAny) -> PyResult<()> {
if !func.is_callable() {
Err(exceptions::PyTypeError::new_err(
"`split` expect a callable with the signature: \
`fn(index: int, normalized: NormalizedString) -> List[NormalizedString]`",
))
} else {
ToPyResult(pretok.split(|i, normalized| {
let output = func.call((i, PyNormalizedString::from(normalized)), None)?;
Ok(output
.extract::<Vec<PyNormalizedString>>()?
.into_iter()
.map(tk::NormalizedString::from))
}))
.into()
}
}
fn normalize(pretok: &mut PreTokenizedString, func: &PyAny) -> PyResult<()> {
if !func.is_callable() {
Err(exceptions::PyTypeError::new_err(
"`normalize` expect a callable with the signature: \
`fn(normalized: NormalizedString)`",
))
} else {
ToPyResult(pretok.normalize(|normalized| {
let norm = PyNormalizedStringRefMut::new(normalized);
func.call((norm.get(),), None)?;
Ok(())
}))
.into()
}
}
fn tokenize(pretok: &mut PreTokenizedString, func: &PyAny) -> PyResult<()> {
if !func.is_callable() {
Err(exceptions::PyTypeError::new_err(
"`tokenize` expect a callable with the signature: \
`fn(str) -> List[Token]`",
))
} else {
ToPyResult(pretok.tokenize(|normalized| {
let output = func.call((normalized.get(),), None)?;
Ok(output
.extract::<&PyList>()?
.into_iter()
.map(|obj| Ok(Token::from(obj.extract::<PyToken>()?)))
.collect::<PyResult<Vec<_>>>()?)
}))
.into()
}
}
/// This is an enum
#[derive(Clone)]
pub struct PyOffsetReferential(OffsetReferential);
impl FromPyObject<'_> for PyOffsetReferential {
fn extract(obj: &PyAny) -> PyResult<Self> {
let s = obj.extract::<&str>()?;
Ok(Self(match s {
"original" => Ok(OffsetReferential::Original),
"normalized" => Ok(OffsetReferential::Normalized),
_ => Err(exceptions::PyValueError::new_err(
"Wrong value for OffsetReferential, expected one of `original, normalized`",
)),
}?))
}
}
#[derive(Clone)]
pub struct PyOffsetType(OffsetType);
impl FromPyObject<'_> for PyOffsetType {
fn extract(obj: &PyAny) -> PyResult<Self> {
let s = obj.extract::<&str>()?;
Ok(Self(match s {
"byte" => Ok(OffsetType::Byte),
"char" => Ok(OffsetType::Char),
_ => Err(exceptions::PyValueError::new_err(
"Wrong value for OffsetType, expected one of `byte, char`",
)),
}?))
}
}
type PySplit = (String, Offsets, Option<Vec<PyToken>>);
fn get_splits(
pretok: &PreTokenizedString,
offset_referential: PyOffsetReferential,
offset_type: PyOffsetType,
) -> Vec<PySplit> {
pretok
.get_splits(offset_referential.0, offset_type.0)
.into_iter()
.map(|(s, o, t)| {
(
s.to_owned(),
o,
t.as_ref()
.map(|tokens| tokens.iter().map(|t| t.clone().into()).collect()),
)
})
.collect()
}
fn to_encoding(
pretok: &PreTokenizedString,
type_id: u32,
word_idx: Option<u32>,
) -> PyResult<PyEncoding> {
Ok(ToPyResult(
pretok
.clone()
.into_encoding(word_idx, type_id, tk::OffsetType::Char),
)
.into_py()?
.into())
}
/// PreTokenizedString
///
/// Wrapper over a string, that provides a way to normalize, pre-tokenize, tokenize the
/// underlying string, while keeping track of the alignment information (offsets).
///
/// The PreTokenizedString manages what we call `splits`. Each split represents a substring
/// which is a subpart of the original string, with the relevant offsets and tokens.
///
/// When calling one of the methods used to modify the PreTokenizedString (namely one of
/// `split`, `normalize` or `tokenize), only the `splits` that don't have any associated
/// tokens will get modified.
///
/// Args:
/// sequence: str:
/// The string sequence used to initialize this PreTokenizedString
#[pyclass(module = "tokenizers", name = "PreTokenizedString")]
pub struct PyPreTokenizedString {
pub(crate) pretok: tk::PreTokenizedString,
}
impl From<PreTokenizedString> for PyPreTokenizedString {
fn from(pretok: PreTokenizedString) -> Self {
Self { pretok }
}
}
impl From<PyPreTokenizedString> for PreTokenizedString {
fn from(pretok: PyPreTokenizedString) -> Self {
pretok.pretok
}
}
#[pymethods]
impl PyPreTokenizedString {
#[new]
#[pyo3(text_signature = "(self, sequence)")]
fn new(s: &str) -> Self {
PreTokenizedString::from(s).into()
}
/// Split the PreTokenizedString using the given `func`
///
/// Args:
/// func: Callable[[index, NormalizedString], List[NormalizedString]]:
/// The function used to split each underlying split.
/// It is expected to return a list of `NormalizedString`, that represent the new
/// splits. If the given `NormalizedString` does not need any splitting, we can
/// just return it directly.
/// In order for the offsets to be tracked accurately, any returned `NormalizedString`
/// should come from calling either `.split` or `.slice` on the received one.
#[pyo3(text_signature = "(self, func)")]
fn split(&mut self, func: &PyAny) -> PyResult<()> {
split(&mut self.pretok, func)
}
/// Normalize each split of the `PreTokenizedString` using the given `func`
///
/// Args:
/// func: Callable[[NormalizedString], None]:
/// The function used to normalize each underlying split. This function
/// does not need to return anything, just calling the methods on the provided
/// NormalizedString allow its modification.
#[pyo3(text_signature = "(self, func)")]
fn normalize(&mut self, func: &PyAny) -> PyResult<()> {
normalize(&mut self.pretok, func)
}
/// Tokenize each split of the `PreTokenizedString` using the given `func`
///
/// Args:
/// func: Callable[[str], List[Token]]:
/// The function used to tokenize each underlying split. This function must return
/// a list of Token generated from the input str.
#[pyo3(text_signature = "(self, func)")]
fn tokenize(&mut self, func: &PyAny) -> PyResult<()> {
tokenize(&mut self.pretok, func)
}
/// Return an Encoding generated from this PreTokenizedString
///
/// Args:
/// type_id: int = 0:
/// The type_id to be used on the generated Encoding.
///
/// word_idx: Optional[int] = None:
/// An optional word index to be used for each token of this Encoding. If provided,
/// all the word indices in the generated Encoding will use this value, instead
/// of the one automatically tracked during pre-tokenization.
///
/// Returns:
/// An Encoding
#[pyo3(signature = (type_id = 0, word_idx = None))]
#[pyo3(text_signature = "(self, type_id=0, word_idx=None)")]
fn to_encoding(&self, type_id: u32, word_idx: Option<u32>) -> PyResult<PyEncoding> {
to_encoding(&self.pretok, type_id, word_idx)
}
/// Get the splits currently managed by the PreTokenizedString
///
/// Args:
/// offset_referential: :obj:`str`
/// Whether the returned splits should have offsets expressed relative
/// to the original string, or the normalized one. choices: "original", "normalized".
///
/// offset_type: :obj:`str`
/// Whether the returned splits should have offsets expressed in bytes or chars.
/// When slicing an str, we usually want to use chars, which is the default value.
/// Now in some cases it might be interesting to get these offsets expressed in bytes,
/// so it is possible to change this here.
/// choices: "char", "bytes"
///
/// Returns
/// A list of splits
#[pyo3(signature = (
offset_referential = PyOffsetReferential(OffsetReferential::Original),
offset_type = PyOffsetType(OffsetType::Char)
))]
#[pyo3(text_signature = "(self, offset_referential=\"original\", offset_type=\"char\")")]
fn get_splits(
&self,
offset_referential: PyOffsetReferential,
offset_type: PyOffsetType,
) -> Vec<PySplit> {
get_splits(&self.pretok, offset_referential, offset_type)
}
}
#[pyclass(module = "tokenizers", name = "PreTokenizedString")]
#[derive(Clone)]
pub struct PyPreTokenizedStringRefMut {
inner: RefMutContainer<PreTokenizedString>,
}
impl DestroyPtr for PyPreTokenizedStringRefMut {
fn destroy(&mut self) {
self.inner.destroy();
}
}
impl PyPreTokenizedStringRefMut {
pub fn new(pretok: &mut tk::PreTokenizedString) -> RefMutGuard<Self> {
// SAFETY: This is safe because we return a RefMutGuard here.
// The compiler will make sure the &mut stays valid as necessary.
RefMutGuard::new(Self {
inner: RefMutContainer::new(pretok),
})
}
pub fn destroyed_error() -> PyErr {
exceptions::PyException::new_err(
"Cannot use a PreTokenizedStringRefMut outside `pre_tokenize`",
)
}
}
#[pymethods]
impl PyPreTokenizedStringRefMut {
fn split(&mut self, func: &PyAny) -> PyResult<()> {
self.inner
.map_mut(|pretok| split(pretok, func))
.ok_or_else(PyPreTokenizedStringRefMut::destroyed_error)?
}
fn normalize(&mut self, func: &PyAny) -> PyResult<()> {
self.inner
.map_mut(|pretok| normalize(pretok, func))
.ok_or_else(PyPreTokenizedStringRefMut::destroyed_error)?
}
fn tokenize(&mut self, func: &PyAny) -> PyResult<()> {
self.inner
.map_mut(|pretok| tokenize(pretok, func))
.ok_or_else(PyPreTokenizedStringRefMut::destroyed_error)?
}
#[pyo3(signature = (type_id = 0, word_idx = None))]
fn to_encoding(&self, type_id: u32, word_idx: Option<u32>) -> PyResult<PyEncoding> {
self.inner
.map(|pretok| to_encoding(pretok, type_id, word_idx))
.ok_or_else(PyPreTokenizedStringRefMut::destroyed_error)?
}
#[pyo3(signature = (
offset_referential = PyOffsetReferential(OffsetReferential::Original),
offset_type = PyOffsetType(OffsetType::Char)
))]
fn get_splits(
&self,
offset_referential: PyOffsetReferential,
offset_type: PyOffsetType,
) -> PyResult<Vec<PySplit>> {
self.inner
.map(|pretok| get_splits(pretok, offset_referential, offset_type))
.ok_or_else(PyPreTokenizedStringRefMut::destroyed_error)
}
}
| 0
|
hf_public_repos/tokenizers/bindings/python/src
|
hf_public_repos/tokenizers/bindings/python/src/utils/iterators.rs
|
use pyo3::prelude::*;
use pyo3::AsPyPointer;
use std::collections::VecDeque;
/// An simple iterator that can be instantiated with a specified length.
/// We use this with iterators that don't have a size_hint but we might
/// know its size. This is useful with progress bars for example.
pub struct MaybeSizedIterator<I> {
length: Option<usize>,
iter: I,
}
impl<I> MaybeSizedIterator<I>
where
I: Iterator,
{
pub fn new(iter: I, length: Option<usize>) -> Self {
Self { length, iter }
}
}
impl<I> Iterator for MaybeSizedIterator<I>
where
I: Iterator,
{
type Item = I::Item;
fn next(&mut self) -> Option<Self::Item> {
self.iter.next()
}
fn size_hint(&self) -> (usize, Option<usize>) {
(self.length.unwrap_or(0), None)
}
}
/// A buffered iterator that takes care of locking the GIL only when needed.
/// The `PyIterator` provided by PyO3 keeps a Python GIL token all along
/// and thus doesn't allow us to release the GIL to allow having other threads.
///
/// This iterator serves two purposes:
/// - First, as opposed to the `pyo3::PyIterator`, it is Send and can easily be parallelized
/// - Second, this let us release the GIL between two refills of the buffer, allowing other
/// Python threads to work
pub struct PyBufferedIterator<T, F> {
iter: Option<Py<PyAny>>,
converter: F,
buffer: VecDeque<PyResult<T>>,
size: usize,
}
impl<T, F, I> PyBufferedIterator<T, F>
where
F: Fn(&PyAny) -> I,
I: IntoIterator<Item = PyResult<T>>,
{
/// Create a new PyBufferedIterator using the provided Python object.
/// This object must implement the Python Iterator Protocol, and an error will
/// be return if the contract is not respected.
///
/// The `converter` provides a way to convert each item in the iterator into
/// something that doesn't embed a 'py token and thus allows the GIL to be released
///
/// The `buffer_size` represents the number of items that we buffer before we
/// need to acquire the GIL again.
pub fn new(iter: &PyAny, converter: F, buffer_size: usize) -> PyResult<Self> {
let py = iter.py();
let iter: Py<PyAny> = unsafe {
py.from_borrowed_ptr_or_err::<PyAny>(pyo3::ffi::PyObject_GetIter(iter.as_ptr()))?
.to_object(py)
};
Ok(Self {
iter: Some(iter),
converter,
buffer: VecDeque::with_capacity(buffer_size),
size: buffer_size,
})
}
/// Refill the buffer, and set `self.iter` as `None` if nothing more to get
fn refill(&mut self) -> PyResult<()> {
if self.iter.is_none() {
return Ok(());
}
Python::with_gil(|py| loop {
if self.buffer.len() >= self.size {
return Ok(());
}
match unsafe {
py.from_owned_ptr_or_opt::<PyAny>(pyo3::ffi::PyIter_Next(
self.iter.as_ref().unwrap().as_ref(py).as_ptr(),
))
} {
Some(obj) => self.buffer.extend((self.converter)(obj)),
None => {
if PyErr::occurred(py) {
return Err(PyErr::fetch(py));
} else {
self.iter = None;
}
}
};
if self.iter.is_none() {
return Ok(());
}
})
}
}
impl<T, F, I> Iterator for PyBufferedIterator<T, F>
where
F: Fn(&PyAny) -> I,
I: IntoIterator<Item = PyResult<T>>,
{
type Item = PyResult<T>;
fn next(&mut self) -> Option<Self::Item> {
if !self.buffer.is_empty() {
self.buffer.pop_front()
} else if self.iter.is_some() {
if let Err(e) = self.refill() {
return Some(Err(e));
}
self.next()
} else {
None
}
}
}
| 0
|
hf_public_repos/tokenizers/bindings
|
hf_public_repos/tokenizers/bindings/node/Cargo.toml
|
[package]
authors = ["Nicolas Patry <[email protected]>"]
edition = "2021"
name = "node"
version = "0.15.1-dev.0"
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
[lib]
crate-type = ["cdylib"]
[dependencies]
napi = "2"
napi-derive = "2"
serde = { version = "1.0.163", features = ["derive"] }
tokenizers = { path = "../../tokenizers/" }
[build-dependencies]
napi-build = "2"
[profile.release]
lto = true
| 0
|
hf_public_repos/tokenizers/bindings
|
hf_public_repos/tokenizers/bindings/node/.eslintrc.yml
|
parser: '@typescript-eslint/parser'
parserOptions:
ecmaFeatures:
jsx: true
ecmaVersion: latest
sourceType: module
project: ./tsconfig.json
env:
browser: true
es6: true
node: true
jest: true
ignorePatterns: ['index.js', 'target/']
plugins:
- import
- '@typescript-eslint'
extends:
- eslint:recommended
- plugin:prettier/recommended
rules:
# 0 = off, 1 = warn, 2 = error
'space-before-function-paren': 0
'no-useless-constructor': 0
'no-undef': 2
'no-console': [2, { allow: ['error', 'warn', 'info', 'assert'] }]
'comma-dangle': ['error', 'only-multiline']
'no-unused-vars': 0
'no-var': 2
'one-var-declaration-per-line': 2
'prefer-const': 2
'no-const-assign': 2
'no-duplicate-imports': 2
'no-use-before-define': [2, { 'functions': false, 'classes': false }]
'eqeqeq': [2, 'always', { 'null': 'ignore' }]
'no-case-declarations': 0
'no-restricted-syntax':
[
2,
{
'selector': 'BinaryExpression[operator=/(==|===|!=|!==)/][left.raw=true], BinaryExpression[operator=/(==|===|!=|!==)/][right.raw=true]',
'message': Don't compare for equality against boolean literals,
},
]
# https://github.com/benmosher/eslint-plugin-import/pull/334
'import/no-duplicates': 2
'import/first': 2
'import/newline-after-import': 2
'import/order':
[
2,
{
'newlines-between': 'always',
'alphabetize': { 'order': 'asc' },
'groups': ['builtin', 'external', 'internal', 'parent', 'sibling', 'index'],
},
]
overrides:
- files:
- ./**/*{.ts,.tsx}
rules:
'no-unused-vars': [2, { varsIgnorePattern: '^_', argsIgnorePattern: '^_', ignoreRestSiblings: true }]
'no-undef': 0
# TypeScript declare merge
'no-redeclare': 0
'no-useless-constructor': 0
'no-dupe-class-members': 0
'no-case-declarations': 0
'no-duplicate-imports': 0
# TypeScript Interface and Type
'no-use-before-define': 0
'@typescript-eslint/adjacent-overload-signatures': 2
'@typescript-eslint/await-thenable': 2
'@typescript-eslint/consistent-type-assertions': 2
'@typescript-eslint/ban-types':
[
'error',
{
'types':
{
'String': { 'message': 'Use string instead', 'fixWith': 'string' },
'Number': { 'message': 'Use number instead', 'fixWith': 'number' },
'Boolean': { 'message': 'Use boolean instead', 'fixWith': 'boolean' },
'Function': { 'message': 'Use explicit type instead' },
},
},
]
'@typescript-eslint/explicit-member-accessibility':
[
'error',
{
accessibility: 'explicit',
overrides:
{
accessors: 'no-public',
constructors: 'no-public',
methods: 'no-public',
properties: 'no-public',
parameterProperties: 'explicit',
},
},
]
'@typescript-eslint/method-signature-style': 2
'@typescript-eslint/no-floating-promises': 2
'@typescript-eslint/no-implied-eval': 2
'@typescript-eslint/no-for-in-array': 2
'@typescript-eslint/no-inferrable-types': 2
'@typescript-eslint/no-invalid-void-type': 2
'@typescript-eslint/no-misused-new': 2
'@typescript-eslint/no-misused-promises': 2
'@typescript-eslint/no-namespace': 2
'@typescript-eslint/no-non-null-asserted-optional-chain': 2
'@typescript-eslint/no-throw-literal': 2
'@typescript-eslint/no-unnecessary-boolean-literal-compare': 2
'@typescript-eslint/prefer-for-of': 2
'@typescript-eslint/prefer-nullish-coalescing': 2
'@typescript-eslint/switch-exhaustiveness-check': 2
'@typescript-eslint/prefer-optional-chain': 2
'@typescript-eslint/prefer-readonly': 2
'@typescript-eslint/prefer-string-starts-ends-with': 0
'@typescript-eslint/no-array-constructor': 2
'@typescript-eslint/require-await': 2
'@typescript-eslint/return-await': 2
'@typescript-eslint/ban-ts-comment':
[2, { 'ts-expect-error': false, 'ts-ignore': true, 'ts-nocheck': true, 'ts-check': false }]
'@typescript-eslint/naming-convention':
[
2,
{
selector: 'memberLike',
format: ['camelCase', 'PascalCase'],
modifiers: ['private'],
leadingUnderscore: 'forbid',
},
]
'@typescript-eslint/no-unused-vars':
[2, { varsIgnorePattern: '^_', argsIgnorePattern: '^_', ignoreRestSiblings: true }]
'@typescript-eslint/member-ordering':
[
2,
{
default:
[
'public-static-field',
'protected-static-field',
'private-static-field',
'public-static-method',
'protected-static-method',
'private-static-method',
'public-instance-field',
'protected-instance-field',
'private-instance-field',
'public-constructor',
'protected-constructor',
'private-constructor',
'public-instance-method',
'protected-instance-method',
'private-instance-method',
],
},
]
| 0
|
hf_public_repos/tokenizers/bindings
|
hf_public_repos/tokenizers/bindings/node/rustfmt.toml
|
tab_spaces = 2
| 0
|
hf_public_repos/tokenizers/bindings
|
hf_public_repos/tokenizers/bindings/node/LICENSE
|
MIT License
Copyright (c) 2020 N-API for Rust
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
| 0
|
hf_public_repos/tokenizers/bindings
|
hf_public_repos/tokenizers/bindings/node/Makefile
|
.PHONY: style check-style test
DATA_DIR = data
dir_guard=@mkdir -p $(@D)
# Format source code automatically
style:
npm run lint
# Check the source code is formatted correctly
check-style:
npm run lint-check
TESTS_RESOURCES = $(DATA_DIR)/small.txt $(DATA_DIR)/roberta.json $(DATA_DIR)/tokenizer-wiki.json $(DATA_DIR)/bert-wiki.json
# Launch the test suite
test: $(TESTS_RESOURCES)
npm run test
$(DATA_DIR)/big.txt :
$(dir_guard)
wget https://norvig.com/big.txt -O $@
$(DATA_DIR)/small.txt : $(DATA_DIR)/big.txt
head -100 $(DATA_DIR)/big.txt > $@
$(DATA_DIR)/roberta.json :
$(dir_guard)
wget https://huggingface.co/roberta-large/raw/main/tokenizer.json -O $@
$(DATA_DIR)/tokenizer-wiki.json :
$(dir_guard)
wget https://s3.amazonaws.com/models.huggingface.co/bert/anthony/doc-quicktour/tokenizer.json -O $@
$(DATA_DIR)/bert-wiki.json :
$(dir_guard)
wget https://s3.amazonaws.com/models.huggingface.co/bert/anthony/doc-pipeline/tokenizer.json -O $@
| 0
|
hf_public_repos/tokenizers/bindings
|
hf_public_repos/tokenizers/bindings/node/.yarnrc.yml
|
nodeLinker: node-modules
npmAuditRegistry: 'https://registry.npmjs.org'
yarnPath: .yarn/releases/yarn-3.5.1.cjs
| 0
|
hf_public_repos/tokenizers/bindings
|
hf_public_repos/tokenizers/bindings/node/jest.config.js
|
/* eslint-disable prettier/prettier */
// For a detailed explanation regarding each configuration property, visit:
// https://jestjs.io/docs/en/configuration.html
module.exports = {
// All imported modules in your tests should be mocked automatically
// automock: false,
// Stop running tests after `n` failures
// bail: 0,
// Respect "browser" field in package.json when resolving modules
// browser: false,
// The directory where Jest should store its cached dependency information
// cacheDirectory: "/private/var/folders/y_/n6h0fkqn3m57bg_ktk25j7rm0000gn/T/jest_dx",
// Automatically clear mock calls and instances between every test
// clearMocks: false,
// Indicates whether the coverage information should be collected while executing the test
// collectCoverage: false,
// An array of glob patterns indicating a set of files for which coverage information should be collected
// collectCoverageFrom: null,
// The directory where Jest should output its coverage files
// coverageDirectory: null,
// An array of regexp pattern strings used to skip coverage collection
// coveragePathIgnorePatterns: [
// "/node_modules/"
// ],
// A list of reporter names that Jest uses when writing coverage reports
// coverageReporters: [
// "json",
// "text",
// "lcov",
// "clover"
// ],
// An object that configures minimum threshold enforcement for coverage results
// coverageThreshold: null,
// A path to a custom dependency extractor
// dependencyExtractor: null,
// Make calling deprecated APIs throw helpful error messages
// errorOnDeprecated: false,
// Force coverage collection from ignored files using an array of glob patterns
// forceCoverageMatch: [],
// A path to a module which exports an async function that is triggered once before all test suites
// globalSetup: null,
// A path to a module which exports an async function that is triggered once after all test suites
// globalTeardown: null,
// A set of global variables that need to be available in all test environments
// globals: {},
// The maximum amount of workers used to run your tests. Can be specified as % or a number. E.g. maxWorkers: 10% will use 10% of your CPU amount + 1 as the maximum worker number. maxWorkers: 2 will use a maximum of 2 workers.
// maxWorkers: "50%",
// An array of directory names to be searched recursively up from the requiring module's location
// moduleDirectories: [
// "node_modules"
// ],
// An array of file extensions your modules use
// moduleFileExtensions: [
// "js",
// "json",
// "jsx",
// "ts",
// "tsx",
// "node"
// ],
// A map from regular expressions to module names that allow to stub out resources with a single module
// moduleNameMapper: {},
// An array of regexp pattern strings, matched against all module paths before considered 'visible' to the module loader
// modulePathIgnorePatterns: [],
// Activates notifications for test results
// notify: false,
// An enum that specifies notification mode. Requires { notify: true }
// notifyMode: "failure-change",
// A preset that is used as a base for Jest's configuration
preset: 'ts-jest',
// Run tests from one or more projects
// projects: null,
// Use this configuration option to add custom reporters to Jest
// reporters: undefined,
// Automatically reset mock state between every test
// resetMocks: false,
// Reset the module registry before running each individual test
// resetModules: false,
// A path to a custom resolver
// resolver: null,
// Automatically restore mock state between every test
// restoreMocks: false,
// The root directory that Jest should scan for tests and modules within
// rootDir: null,
// A list of paths to directories that Jest should use to search for files in
// roots: [
// "<rootDir>"
// ],
// Allows you to use a custom runner instead of Jest's default test runner
// runner: "jest-runner",
// The paths to modules that run some code to configure or set up the testing environment before each test
// setupFiles: [],
// A list of paths to modules that run some code to configure or set up the testing framework before each test
// setupFilesAfterEnv: [],
// A list of paths to snapshot serializer modules Jest should use for snapshot testing
// snapshotSerializers: [],
// The test environment that will be used for testing
testEnvironment: 'node',
// Options that will be passed to the testEnvironment
// testEnvironmentOptions: {},
// Adds a location field to test results
// testLocationInResults: false,
// The glob patterns Jest uses to detect test files
// testMatch: [
// "**/__tests__/**/*.[jt]s?(x)",
// "**/?(*.)+(spec|test).[tj]s?(x)"
// ],
// An array of regexp pattern strings that are matched against all test paths, matched tests are skipped
testPathIgnorePatterns: ['/node_modules/', '/dist/'],
// The regexp pattern or array of patterns that Jest uses to detect test files
// testRegex: [],
// This option allows the use of a custom results processor
// testResultsProcessor: null,
// This option allows use of a custom test runner
// testRunner: "jasmine2",
// This option sets the URL for the jsdom environment. It is reflected in properties such as location.href
// testURL: "http://localhost",
// Setting this value to "fake" allows the use of fake timers for functions such as "setTimeout"
// timers: "real",
// A map from regular expressions to paths to transformers
// transform: null,
// An array of regexp pattern strings that are matched against all source file paths, matched files will skip transformation
// transformIgnorePatterns: [
// "/node_modules/"
// ],
// An array of regexp pattern strings that are matched against all modules before the module loader will automatically return a mock for them
// unmockedModulePathPatterns: undefined,
// Indicates whether each individual test should be reported during the run
// verbose: null,
// An array of regexp patterns that are matched against all source file paths before re-running tests in watch mode
watchPathIgnorePatterns: ['<rootDir>/node_modules/', '<rootDir>/native/', '<rootDir>/dist/', '<rootDir>/build/'],
// Whether to use watchman for file crawling
// watchman: true,
}
| 0
|
hf_public_repos/tokenizers/bindings
|
hf_public_repos/tokenizers/bindings/node/build.rs
|
extern crate napi_build;
fn main() {
napi_build::setup();
}
| 0
|
hf_public_repos/tokenizers/bindings
|
hf_public_repos/tokenizers/bindings/node/index.js
|
/* tslint:disable */
/* eslint-disable */
/* prettier-ignore */
/* auto-generated by NAPI-RS */
const { existsSync, readFileSync } = require('fs')
const { join } = require('path')
const { platform, arch } = process
let nativeBinding = null
let localFileExisted = false
let loadError = null
function isMusl() {
// For Node 10
if (!process.report || typeof process.report.getReport !== 'function') {
try {
const lddPath = require('child_process').execSync('which ldd').toString().trim()
return readFileSync(lddPath, 'utf8').includes('musl')
} catch (e) {
return true
}
} else {
const { glibcVersionRuntime } = process.report.getReport().header
return !glibcVersionRuntime
}
}
switch (platform) {
case 'android':
switch (arch) {
case 'arm64':
localFileExisted = existsSync(join(__dirname, 'tokenizers.android-arm64.node'))
try {
if (localFileExisted) {
nativeBinding = require('./tokenizers.android-arm64.node')
} else {
nativeBinding = require('tokenizers-android-arm64')
}
} catch (e) {
loadError = e
}
break
case 'arm':
localFileExisted = existsSync(join(__dirname, 'tokenizers.android-arm-eabi.node'))
try {
if (localFileExisted) {
nativeBinding = require('./tokenizers.android-arm-eabi.node')
} else {
nativeBinding = require('tokenizers-android-arm-eabi')
}
} catch (e) {
loadError = e
}
break
default:
throw new Error(`Unsupported architecture on Android ${arch}`)
}
break
case 'win32':
switch (arch) {
case 'x64':
localFileExisted = existsSync(join(__dirname, 'tokenizers.win32-x64-msvc.node'))
try {
if (localFileExisted) {
nativeBinding = require('./tokenizers.win32-x64-msvc.node')
} else {
nativeBinding = require('tokenizers-win32-x64-msvc')
}
} catch (e) {
loadError = e
}
break
case 'ia32':
localFileExisted = existsSync(join(__dirname, 'tokenizers.win32-ia32-msvc.node'))
try {
if (localFileExisted) {
nativeBinding = require('./tokenizers.win32-ia32-msvc.node')
} else {
nativeBinding = require('tokenizers-win32-ia32-msvc')
}
} catch (e) {
loadError = e
}
break
case 'arm64':
localFileExisted = existsSync(join(__dirname, 'tokenizers.win32-arm64-msvc.node'))
try {
if (localFileExisted) {
nativeBinding = require('./tokenizers.win32-arm64-msvc.node')
} else {
nativeBinding = require('tokenizers-win32-arm64-msvc')
}
} catch (e) {
loadError = e
}
break
default:
throw new Error(`Unsupported architecture on Windows: ${arch}`)
}
break
case 'darwin':
localFileExisted = existsSync(join(__dirname, 'tokenizers.darwin-universal.node'))
try {
if (localFileExisted) {
nativeBinding = require('./tokenizers.darwin-universal.node')
} else {
nativeBinding = require('tokenizers-darwin-universal')
}
break
} catch {}
switch (arch) {
case 'x64':
localFileExisted = existsSync(join(__dirname, 'tokenizers.darwin-x64.node'))
try {
if (localFileExisted) {
nativeBinding = require('./tokenizers.darwin-x64.node')
} else {
nativeBinding = require('tokenizers-darwin-x64')
}
} catch (e) {
loadError = e
}
break
case 'arm64':
localFileExisted = existsSync(join(__dirname, 'tokenizers.darwin-arm64.node'))
try {
if (localFileExisted) {
nativeBinding = require('./tokenizers.darwin-arm64.node')
} else {
nativeBinding = require('tokenizers-darwin-arm64')
}
} catch (e) {
loadError = e
}
break
default:
throw new Error(`Unsupported architecture on macOS: ${arch}`)
}
break
case 'freebsd':
if (arch !== 'x64') {
throw new Error(`Unsupported architecture on FreeBSD: ${arch}`)
}
localFileExisted = existsSync(join(__dirname, 'tokenizers.freebsd-x64.node'))
try {
if (localFileExisted) {
nativeBinding = require('./tokenizers.freebsd-x64.node')
} else {
nativeBinding = require('tokenizers-freebsd-x64')
}
} catch (e) {
loadError = e
}
break
case 'linux':
switch (arch) {
case 'x64':
if (isMusl()) {
localFileExisted = existsSync(join(__dirname, 'tokenizers.linux-x64-musl.node'))
try {
if (localFileExisted) {
nativeBinding = require('./tokenizers.linux-x64-musl.node')
} else {
nativeBinding = require('tokenizers-linux-x64-musl')
}
} catch (e) {
loadError = e
}
} else {
localFileExisted = existsSync(join(__dirname, 'tokenizers.linux-x64-gnu.node'))
try {
if (localFileExisted) {
nativeBinding = require('./tokenizers.linux-x64-gnu.node')
} else {
nativeBinding = require('tokenizers-linux-x64-gnu')
}
} catch (e) {
loadError = e
}
}
break
case 'arm64':
if (isMusl()) {
localFileExisted = existsSync(join(__dirname, 'tokenizers.linux-arm64-musl.node'))
try {
if (localFileExisted) {
nativeBinding = require('./tokenizers.linux-arm64-musl.node')
} else {
nativeBinding = require('tokenizers-linux-arm64-musl')
}
} catch (e) {
loadError = e
}
} else {
localFileExisted = existsSync(join(__dirname, 'tokenizers.linux-arm64-gnu.node'))
try {
if (localFileExisted) {
nativeBinding = require('./tokenizers.linux-arm64-gnu.node')
} else {
nativeBinding = require('tokenizers-linux-arm64-gnu')
}
} catch (e) {
loadError = e
}
}
break
case 'arm':
localFileExisted = existsSync(join(__dirname, 'tokenizers.linux-arm-gnueabihf.node'))
try {
if (localFileExisted) {
nativeBinding = require('./tokenizers.linux-arm-gnueabihf.node')
} else {
nativeBinding = require('tokenizers-linux-arm-gnueabihf')
}
} catch (e) {
loadError = e
}
break
default:
throw new Error(`Unsupported architecture on Linux: ${arch}`)
}
break
default:
throw new Error(`Unsupported OS: ${platform}, architecture: ${arch}`)
}
if (!nativeBinding) {
if (loadError) {
throw loadError
}
throw new Error(`Failed to load native binding`)
}
const {
Decoder,
bpeDecoder,
byteFallbackDecoder,
ctcDecoder,
fuseDecoder,
metaspaceDecoder,
replaceDecoder,
sequenceDecoder,
stripDecoder,
wordPieceDecoder,
Encoding,
TruncationDirection,
TruncationStrategy,
Model,
BPE,
WordPiece,
WordLevel,
Unigram,
Normalizer,
prependNormalizer,
stripAccentsNormalizer,
bertNormalizer,
nfdNormalizer,
nfkdNormalizer,
nfcNormalizer,
nfkcNormalizer,
stripNormalizer,
sequenceNormalizer,
lowercase,
replace,
nmt,
precompiled,
JsSplitDelimiterBehavior,
PreTokenizer,
byteLevelPreTokenizer,
byteLevelAlphabet,
whitespacePreTokenizer,
whitespaceSplitPreTokenizer,
bertPreTokenizer,
metaspacePreTokenizer,
splitPreTokenizer,
punctuationPreTokenizer,
sequencePreTokenizer,
charDelimiterSplit,
digitsPreTokenizer,
Processor,
bertProcessing,
robertaProcessing,
byteLevelProcessing,
templateProcessing,
sequenceProcessing,
PaddingDirection,
AddedToken,
Tokenizer,
Trainer,
slice,
mergeEncodings,
} = nativeBinding
module.exports.Decoder = Decoder
module.exports.bpeDecoder = bpeDecoder
module.exports.byteFallbackDecoder = byteFallbackDecoder
module.exports.ctcDecoder = ctcDecoder
module.exports.fuseDecoder = fuseDecoder
module.exports.metaspaceDecoder = metaspaceDecoder
module.exports.replaceDecoder = replaceDecoder
module.exports.sequenceDecoder = sequenceDecoder
module.exports.stripDecoder = stripDecoder
module.exports.wordPieceDecoder = wordPieceDecoder
module.exports.Encoding = Encoding
module.exports.TruncationDirection = TruncationDirection
module.exports.TruncationStrategy = TruncationStrategy
module.exports.Model = Model
module.exports.BPE = BPE
module.exports.WordPiece = WordPiece
module.exports.WordLevel = WordLevel
module.exports.Unigram = Unigram
module.exports.Normalizer = Normalizer
module.exports.prependNormalizer = prependNormalizer
module.exports.stripAccentsNormalizer = stripAccentsNormalizer
module.exports.bertNormalizer = bertNormalizer
module.exports.nfdNormalizer = nfdNormalizer
module.exports.nfkdNormalizer = nfkdNormalizer
module.exports.nfcNormalizer = nfcNormalizer
module.exports.nfkcNormalizer = nfkcNormalizer
module.exports.stripNormalizer = stripNormalizer
module.exports.sequenceNormalizer = sequenceNormalizer
module.exports.lowercase = lowercase
module.exports.replace = replace
module.exports.nmt = nmt
module.exports.precompiled = precompiled
module.exports.JsSplitDelimiterBehavior = JsSplitDelimiterBehavior
module.exports.PreTokenizer = PreTokenizer
module.exports.byteLevelPreTokenizer = byteLevelPreTokenizer
module.exports.byteLevelAlphabet = byteLevelAlphabet
module.exports.whitespacePreTokenizer = whitespacePreTokenizer
module.exports.whitespaceSplitPreTokenizer = whitespaceSplitPreTokenizer
module.exports.bertPreTokenizer = bertPreTokenizer
module.exports.metaspacePreTokenizer = metaspacePreTokenizer
module.exports.splitPreTokenizer = splitPreTokenizer
module.exports.punctuationPreTokenizer = punctuationPreTokenizer
module.exports.sequencePreTokenizer = sequencePreTokenizer
module.exports.charDelimiterSplit = charDelimiterSplit
module.exports.digitsPreTokenizer = digitsPreTokenizer
module.exports.Processor = Processor
module.exports.bertProcessing = bertProcessing
module.exports.robertaProcessing = robertaProcessing
module.exports.byteLevelProcessing = byteLevelProcessing
module.exports.templateProcessing = templateProcessing
module.exports.sequenceProcessing = sequenceProcessing
module.exports.PaddingDirection = PaddingDirection
module.exports.AddedToken = AddedToken
module.exports.Tokenizer = Tokenizer
module.exports.Trainer = Trainer
module.exports.slice = slice
module.exports.mergeEncodings = mergeEncodings
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target
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# EditorConfig helps developers define and maintain consistent
# coding styles between different editors or IDEs
# http://editorconfig.org
root = true
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<p align="center">
<br>
<img src="https://huggingface.co/landing/assets/tokenizers/tokenizers-logo.png" width="600"/>
<br>
<p>
<p align="center">
<a href="https://badge.fury.io/js/tokenizers">
<img alt="Build" src="https://badge.fury.io/js/tokenizers.svg">
</a>
<a href="https://github.com/huggingface/tokenizers/blob/master/LICENSE">
<img alt="GitHub" src="https://img.shields.io/github/license/huggingface/tokenizers.svg?color=blue">
</a>
</p>
<br>
NodeJS implementation of today's most used tokenizers, with a focus on performance and
versatility. Bindings over the [Rust](https://github.com/huggingface/tokenizers/tree/master/tokenizers) implementation.
If you are interested in the High-level design, you can go check it there.
## Main features
- Train new vocabularies and tokenize using 4 pre-made tokenizers (Bert WordPiece and the 3
most common BPE versions).
- Extremely fast (both training and tokenization), thanks to the Rust implementation. Takes
less than 20 seconds to tokenize a GB of text on a server's CPU.
- Easy to use, but also extremely versatile.
- Designed for research and production.
- Normalization comes with alignments tracking. It's always possible to get the part of the
original sentence that corresponds to a given token.
- Does all the pre-processing: Truncate, Pad, add the special tokens your model needs.
## Installation
```bash
npm install tokenizers@latest
```
## Basic example
```ts
import { Tokenizer } from "tokenizers";
const tokenizer = await Tokenizer.fromFile("tokenizer.json");
const wpEncoded = await tokenizer.encode("Who is John?");
console.log(wpEncoded.getLength());
console.log(wpEncoded.getTokens());
console.log(wpEncoded.getIds());
console.log(wpEncoded.getAttentionMask());
console.log(wpEncoded.getOffsets());
console.log(wpEncoded.getOverflowing());
console.log(wpEncoded.getSpecialTokensMask());
console.log(wpEncoded.getTypeIds());
console.log(wpEncoded.getWordIds());
```
## License
[Apache License 2.0](../../LICENSE)
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export type TextInputSequence = string
export type PreTokenizedInputSequence = string[]
export type InputSequence = TextInputSequence | PreTokenizedInputSequence
export type TextEncodeInput = TextInputSequence | [TextInputSequence, TextInputSequence]
export type PreTokenizedEncodeInput = PreTokenizedInputSequence | [PreTokenizedInputSequence, PreTokenizedInputSequence]
export type EncodeInput = TextEncodeInput | PreTokenizedEncodeInput
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hf_public_repos/tokenizers/bindings
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"allowSyntheticDefaultImports": true
},
"include": ["."],
"exclude": ["node_modules"]
}
| 0
|
hf_public_repos/tokenizers/bindings
|
hf_public_repos/tokenizers/bindings/node/index.d.ts
|
/* tslint:disable */
/* eslint-disable */
/* auto-generated by NAPI-RS */
export function bpeDecoder(suffix?: string | undefined | null): Decoder
export function byteFallbackDecoder(): Decoder
export function ctcDecoder(
padToken?: string = '<pad>',
wordDelimiterToken?: string | undefined | null,
cleanup?: boolean | undefined | null,
): Decoder
export function fuseDecoder(): Decoder
export function metaspaceDecoder(replacement?: string = '▁', addPrefixSpace?: bool = true): Decoder
export function replaceDecoder(pattern: string, content: string): Decoder
export function sequenceDecoder(decoders: Array<Decoder>): Decoder
export function stripDecoder(content: string, left: number, right: number): Decoder
export function wordPieceDecoder(prefix?: string = '##', cleanup?: bool = true): Decoder
export const enum TruncationDirection {
Left = 'Left',
Right = 'Right',
}
export const enum TruncationStrategy {
LongestFirst = 'LongestFirst',
OnlyFirst = 'OnlyFirst',
OnlySecond = 'OnlySecond',
}
export interface BpeOptions {
cacheCapacity?: number
dropout?: number
unkToken?: string
continuingSubwordPrefix?: string
endOfWordSuffix?: string
fuseUnk?: boolean
byteFallback?: boolean
}
export interface WordPieceOptions {
unkToken?: string
continuingSubwordPrefix?: string
maxInputCharsPerWord?: number
}
export interface WordLevelOptions {
unkToken?: string
}
export interface UnigramOptions {
unkId?: number
byteFallback?: boolean
}
export function prependNormalizer(prepend: string): Normalizer
export function stripAccentsNormalizer(): Normalizer
export interface BertNormalizerOptions {
cleanText?: boolean
handleChineseChars?: boolean
stripAccents?: boolean
lowercase?: boolean
}
/**
* bert_normalizer(options?: {
* cleanText?: bool = true,
* handleChineseChars?: bool = true,
* stripAccents?: bool = true,
* lowercase?: bool = true
* })
*/
export function bertNormalizer(options?: BertNormalizerOptions | undefined | null): Normalizer
export function nfdNormalizer(): Normalizer
export function nfkdNormalizer(): Normalizer
export function nfcNormalizer(): Normalizer
export function nfkcNormalizer(): Normalizer
export function stripNormalizer(left?: boolean | undefined | null, right?: boolean | undefined | null): Normalizer
export function sequenceNormalizer(normalizers: Array<Normalizer>): Normalizer
export function lowercase(): Normalizer
export function replace(pattern: string, content: string): Normalizer
export function nmt(): Normalizer
export function precompiled(bytes: Array<number>): Normalizer
export const enum JsSplitDelimiterBehavior {
Removed = 'Removed',
Isolated = 'Isolated',
MergedWithPrevious = 'MergedWithPrevious',
MergedWithNext = 'MergedWithNext',
Contiguous = 'Contiguous',
}
/** byte_level(addPrefixSpace: bool = true, useRegex: bool = true) */
export function byteLevelPreTokenizer(
addPrefixSpace?: boolean | undefined | null,
useRegex?: boolean | undefined | null,
): PreTokenizer
export function byteLevelAlphabet(): Array<string>
export function whitespacePreTokenizer(): PreTokenizer
export function whitespaceSplitPreTokenizer(): PreTokenizer
export function bertPreTokenizer(): PreTokenizer
export function metaspacePreTokenizer(replacement?: string = '▁', addPrefixSpace?: bool = true): PreTokenizer
export function splitPreTokenizer(pattern: string, behavior: string, invert?: boolean | undefined | null): PreTokenizer
export function punctuationPreTokenizer(behavior?: string | undefined | null): PreTokenizer
export function sequencePreTokenizer(preTokenizers: Array<PreTokenizer>): PreTokenizer
export function charDelimiterSplit(delimiter: string): PreTokenizer
export function digitsPreTokenizer(individualDigits?: boolean | undefined | null): PreTokenizer
export function bertProcessing(sep: [string, number], cls: [string, number]): Processor
export function robertaProcessing(
sep: [string, number],
cls: [string, number],
trimOffsets?: boolean | undefined | null,
addPrefixSpace?: boolean | undefined | null,
): Processor
export function byteLevelProcessing(trimOffsets?: boolean | undefined | null): Processor
export function templateProcessing(
single: string,
pair?: string | undefined | null,
specialTokens?: Array<[string, number]> | undefined | null,
): Processor
export function sequenceProcessing(processors: Array<Processor>): Processor
export const enum PaddingDirection {
Left = 0,
Right = 1,
}
export interface PaddingOptions {
maxLength?: number
direction?: string | PaddingDirection
padToMultipleOf?: number
padId?: number
padTypeId?: number
padToken?: string
}
export interface EncodeOptions {
isPretokenized?: boolean
addSpecialTokens?: boolean
}
export interface TruncationOptions {
maxLength?: number
strategy?: TruncationStrategy
direction?: string | TruncationDirection
stride?: number
}
export interface AddedTokenOptions {
singleWord?: boolean
leftStrip?: boolean
rightStrip?: boolean
normalized?: boolean
}
export interface JsFromPretrainedParameters {
revision?: string
authToken?: string
}
export function slice(s: string, beginIndex?: number | undefined | null, endIndex?: number | undefined | null): string
export function mergeEncodings(encodings: Array<Encoding>, growingOffsets?: boolean | undefined | null): Encoding
/** Decoder */
export class Decoder {
decode(tokens: Array<string>): string
}
export type JsEncoding = Encoding
export class Encoding {
constructor()
getLength(): number
getNSequences(): number
getIds(): Array<number>
getTypeIds(): Array<number>
getAttentionMask(): Array<number>
getSpecialTokensMask(): Array<number>
getTokens(): Array<string>
getOffsets(): Array<Array<number>>
getWordIds(): Array<number | undefined | null>
charToToken(pos: number, seqId?: number | undefined | null): number | null
charToWord(pos: number, seqId?: number | undefined | null): number | null
pad(length: number, options?: PaddingOptions | undefined | null): void
truncate(
length: number,
stride?: number | undefined | null,
direction?: string | TruncationDirection | undefined | null,
): void
wordToTokens(word: number, seqId?: number | undefined | null): [number, number] | null | undefined
wordToChars(word: number, seqId?: number | undefined | null): [number, number] | null | undefined
tokenToChars(token: number): [number, [number, number]] | null | undefined
tokenToWord(token: number): number | null
getOverflowing(): Array<Encoding>
getSequenceIds(): Array<number | undefined | null>
tokenToSequence(token: number): number | null
}
export class Model {}
export type Bpe = BPE
export class BPE {
static empty(): Model
static init(vocab: Vocab, merges: Merges, options?: BpeOptions | undefined | null): Model
static fromFile(vocab: string, merges: string, options?: BpeOptions | undefined | null): Promise<Model>
}
export class WordPiece {
static init(vocab: Vocab, options?: WordPieceOptions | undefined | null): Model
static empty(): WordPiece
static fromFile(vocab: string, options?: WordPieceOptions | undefined | null): Promise<Model>
}
export class WordLevel {
static init(vocab: Vocab, options?: WordLevelOptions | undefined | null): Model
static empty(): WordLevel
static fromFile(vocab: string, options?: WordLevelOptions | undefined | null): Promise<Model>
}
export class Unigram {
static init(vocab: Array<[string, number]>, options?: UnigramOptions | undefined | null): Model
static empty(): Model
}
/** Normalizer */
export class Normalizer {
normalizeString(sequence: string): string
}
/** PreTokenizers */
export class PreTokenizer {
preTokenizeString(sequence: string): [string, [number, number]][]
}
export class Processor {}
export class AddedToken {
constructor(token: string, isSpecial: boolean, options?: AddedTokenOptions | undefined | null)
getContent(): string
}
export class Tokenizer {
constructor(model: Model)
setPreTokenizer(preTokenizer: PreTokenizer): void
setDecoder(decoder: Decoder): void
setModel(model: Model): void
setPostProcessor(postProcessor: Processor): void
setNormalizer(normalizer: Normalizer): void
save(path: string, pretty?: boolean | undefined | null): void
addAddedTokens(tokens: Array<AddedToken>): number
addTokens(tokens: Array<string>): number
encode(
sentence: InputSequence,
pair?: InputSequence | null,
encodeOptions?: EncodeOptions | undefined | null,
): Promise<JsEncoding>
encodeBatch(sentences: EncodeInput[], encodeOptions?: EncodeOptions | undefined | null): Promise<JsEncoding[]>
decode(ids: Array<number>, skipSpecialTokens: boolean): Promise<string>
decodeBatch(ids: Array<Array<number>>, skipSpecialTokens: boolean): Promise<string[]>
static fromString(s: string): Tokenizer
static fromFile(file: string): Tokenizer
addSpecialTokens(tokens: Array<string>): void
setTruncation(maxLength: number, options?: TruncationOptions | undefined | null): void
disableTruncation(): void
setPadding(options?: PaddingOptions | undefined | null): void
disablePadding(): void
getDecoder(): Decoder | null
getNormalizer(): Normalizer | null
getPreTokenizer(): PreTokenizer | null
getPostProcessor(): Processor | null
getVocab(withAddedTokens?: boolean | undefined | null): Record<string, number>
getVocabSize(withAddedTokens?: boolean | undefined | null): number
idToToken(id: number): string | null
tokenToId(token: string): number | null
train(files: Array<string>): void
runningTasks(): number
postProcess(
encoding: Encoding,
pair?: Encoding | undefined | null,
addSpecialTokens?: boolean | undefined | null,
): Encoding
}
export class Trainer {}
| 0
|
hf_public_repos/tokenizers/bindings
|
hf_public_repos/tokenizers/bindings/node/.taplo.toml
|
exclude = ["node_modules/**/*.toml"]
# https://taplo.tamasfe.dev/configuration/formatter-options.html
[formatting]
align_entries = true
indent_tables = true
reorder_keys = true
| 0
|
hf_public_repos/tokenizers/bindings/node/.yarn
|
hf_public_repos/tokenizers/bindings/node/.yarn/releases/yarn-3.5.1.cjs
|
#!/usr/bin/env node
/* eslint-disable */
//prettier-ignore
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b=t;return b!==t&&(Me=m,b=Rn(b)),m=b,m}function V1(){var m,b,N;return m=Q,r.substr(Q,2)===Tl?(b=Tl,Q+=2):(b=t,I===0&&Qe(Fn)),b!==t&&(Me=m,b=ns()),m=b,m===t&&(m=Q,r.charCodeAt(Q)===92?(b=ss,Q++):(b=t,I===0&&Qe(gt)),b!==t?(wo.test(r.charAt(Q))?(N=r.charAt(Q),Q++):(N=t,I===0&&Qe(At)),N!==t?(Me=m,b=An(N),m=b):(Q=m,m=t)):(Q=m,m=t)),m}function yge(){var m,b,N;for(m=Q,b=[],N=X1(),N===t&&(se.test(r.charAt(Q))?(N=r.charAt(Q),Q++):(N=t,I===0&&Qe(yo)));N!==t;)b.push(N),N=X1(),N===t&&(se.test(r.charAt(Q))?(N=r.charAt(Q),Q++):(N=t,I===0&&Qe(yo)));return b!==t&&(Me=m,b=Rn(b)),m=b,m}function X1(){var m,b,N;return m=Q,r.substr(Q,2)===S?(b=S,Q+=2):(b=t,I===0&&Qe(Tt)),b!==t&&(Me=m,b=hg()),m=b,m===t&&(m=Q,r.substr(Q,2)===Ol?(b=Ol,Q+=2):(b=t,I===0&&Qe(bp)),b!==t&&(Me=m,b=Sp()),m=b,m===t&&(m=Q,r.charCodeAt(Q)===92?(b=ss,Q++):(b=t,I===0&&Qe(gt)),b!==t?(vp.test(r.charAt(Q))?(N=r.charAt(Q),Q++):(N=t,I===0&&Qe(xp)),N!==t?(Me=m,b=Pp(),m=b):(Q=m,m=t)):(Q=m,m=t),m===t&&(m=Q,r.substr(Q,2)===G?(b=G,Q+=2):(b=t,I===0&&Qe(yt)),b!==t&&(Me=m,b=IA()),m=b,m===t&&(m=Q,r.substr(Q,2)===Wi?(b=Wi,Q+=2):(b=t,I===0&&Qe(Ml)),b!==t&&(Me=m,b=Xe()),m=b,m===t&&(m=Q,r.substr(Q,2)===ha?(b=ha,Q+=2):(b=t,I===0&&Qe(pg)),b!==t&&(Me=m,b=OE()),m=b,m===t&&(m=Q,r.substr(Q,2)===Dp?(b=Dp,Q+=2):(b=t,I===0&&Qe(ME)),b!==t&&(Me=m,b=ar()),m=b,m===t&&(m=Q,r.substr(Q,2)===Nn?(b=Nn,Q+=2):(b=t,I===0&&Qe(Ul)),b!==t&&(Me=m,b=kp()),m=b,m===t&&(m=Q,r.charCodeAt(Q)===92?(b=ss,Q++):(b=t,I===0&&Qe(gt)),b!==t?(Ks.test(r.charAt(Q))?(N=r.charAt(Q),Q++):(N=t,I===0&&Qe(pa)),N!==t?(Me=m,b=An(N),m=b):(Q=m,m=t)):(Q=m,m=t),m===t&&(m=wge()))))))))),m}function wge(){var m,b,N,K,ce,Se,ht,Bt,Jr,hi,as,AS;return m=Q,r.charCodeAt(Q)===92?(b=ss,Q++):(b=t,I===0&&Qe(gt)),b!==t?(N=nS(),N!==t?(Me=m,b=ln(N),m=b):(Q=m,m=t)):(Q=m,m=t),m===t&&(m=Q,r.substr(Q,2)===Te?(b=Te,Q+=2):(b=t,I===0&&Qe(dg)),b!==t?(N=Q,K=Q,ce=nS(),ce!==t?(Se=On(),Se!==t?(ce=[ce,Se],K=ce):(Q=K,K=t)):(Q=K,K=t),K===t&&(K=nS()),K!==t?N=r.substring(N,Q):N=K,N!==t?(Me=m,b=ln(N),m=b):(Q=m,m=t)):(Q=m,m=t),m===t&&(m=Q,r.substr(Q,2)===Kl?(b=Kl,Q+=2):(b=t,I===0&&Qe(Hs)),b!==t?(N=Q,K=Q,ce=On(),ce!==t?(Se=On(),Se!==t?(ht=On(),ht!==t?(Bt=On(),Bt!==t?(ce=[ce,Se,ht,Bt],K=ce):(Q=K,K=t)):(Q=K,K=t)):(Q=K,K=t)):(Q=K,K=t),K!==t?N=r.substring(N,Q):N=K,N!==t?(Me=m,b=ln(N),m=b):(Q=m,m=t)):(Q=m,m=t),m===t&&(m=Q,r.substr(Q,2)===Hl?(b=Hl,Q+=2):(b=t,I===0&&Qe(yA)),b!==t?(N=Q,K=Q,ce=On(),ce!==t?(Se=On(),Se!==t?(ht=On(),ht!==t?(Bt=On(),Bt!==t?(Jr=On(),Jr!==t?(hi=On(),hi!==t?(as=On(),as!==t?(AS=On(),AS!==t?(ce=[ce,Se,ht,Bt,Jr,hi,as,AS],K=ce):(Q=K,K=t)):(Q=K,K=t)):(Q=K,K=t)):(Q=K,K=t)):(Q=K,K=t)):(Q=K,K=t)):(Q=K,K=t)):(Q=K,K=t),K!==t?N=r.substring(N,Q):N=K,N!==t?(Me=m,b=Cg(N),m=b):(Q=m,m=t)):(Q=m,m=t)))),m}function nS(){var m;return mg.test(r.charAt(Q))?(m=r.charAt(Q),Q++):(m=t,I===0&&Qe(da)),m}function On(){var m;return Ca.test(r.charAt(Q))?(m=r.charAt(Q),Q++):(m=t,I===0&&Qe(rt)),m}function Bge(){var m,b,N,K,ce;if(m=Q,b=[],N=Q,r.charCodeAt(Q)===92?(K=ss,Q++):(K=t,I===0&&Qe(gt)),K!==t?(r.length>Q?(ce=r.charAt(Q),Q++):(ce=t,I===0&&Qe(Bo)),ce!==t?(Me=N,K=An(ce),N=K):(Q=N,N=t)):(Q=N,N=t),N===t&&(N=Q,K=Q,I++,ce=tU(),I--,ce===t?K=void 0:(Q=K,K=t),K!==t?(r.length>Q?(ce=r.charAt(Q),Q++):(ce=t,I===0&&Qe(Bo)),ce!==t?(Me=N,K=An(ce),N=K):(Q=N,N=t)):(Q=N,N=t)),N!==t)for(;N!==t;)b.push(N),N=Q,r.charCodeAt(Q)===92?(K=ss,Q++):(K=t,I===0&&Qe(gt)),K!==t?(r.length>Q?(ce=r.charAt(Q),Q++):(ce=t,I===0&&Qe(Bo)),ce!==t?(Me=N,K=An(ce),N=K):(Q=N,N=t)):(Q=N,N=t),N===t&&(N=Q,K=Q,I++,ce=tU(),I--,ce===t?K=void 0:(Q=K,K=t),K!==t?(r.length>Q?(ce=r.charAt(Q),Q++):(ce=t,I===0&&Qe(Bo)),ce!==t?(Me=N,K=An(ce),N=K):(Q=N,N=t)):(Q=N,N=t));else b=t;return b!==t&&(Me=m,b=Rn(b)),m=b,m}function sS(){var m,b,N,K,ce,Se;if(m=Q,r.charCodeAt(Q)===45?(b=wA,Q++):(b=t,I===0&&Qe(Gl)),b===t&&(r.charCodeAt(Q)===43?(b=Gs,Q++):(b=t,I===0&&Qe(Yl))),b===t&&(b=null),b!==t){if(N=[],qe.test(r.charAt(Q))?(K=r.charAt(Q),Q++):(K=t,I===0&&Qe(ne)),K!==t)for(;K!==t;)N.push(K),qe.test(r.charAt(Q))?(K=r.charAt(Q),Q++):(K=t,I===0&&Qe(ne));else N=t;if(N!==t)if(r.charCodeAt(Q)===46?(K=UE,Q++):(K=t,I===0&&Qe(Rp)),K!==t){if(ce=[],qe.test(r.charAt(Q))?(Se=r.charAt(Q),Q++):(Se=t,I===0&&Qe(ne)),Se!==t)for(;Se!==t;)ce.push(Se),qe.test(r.charAt(Q))?(Se=r.charAt(Q),Q++):(Se=t,I===0&&Qe(ne));else ce=t;ce!==t?(Me=m,b=Eg(b,N,ce),m=b):(Q=m,m=t)}else Q=m,m=t;else Q=m,m=t}else Q=m,m=t;if(m===t){if(m=Q,r.charCodeAt(Q)===45?(b=wA,Q++):(b=t,I===0&&Qe(Gl)),b===t&&(r.charCodeAt(Q)===43?(b=Gs,Q++):(b=t,I===0&&Qe(Yl))),b===t&&(b=null),b!==t){if(N=[],qe.test(r.charAt(Q))?(K=r.charAt(Q),Q++):(K=t,I===0&&Qe(ne)),K!==t)for(;K!==t;)N.push(K),qe.test(r.charAt(Q))?(K=r.charAt(Q),Q++):(K=t,I===0&&Qe(ne));else N=t;N!==t?(Me=m,b=Fp(b,N),m=b):(Q=m,m=t)}else Q=m,m=t;if(m===t&&(m=Q,b=aS(),b!==t&&(Me=m,b=KE(b)),m=b,m===t&&(m=Q,b=ql(),b!==t&&(Me=m,b=jl(b)),m=b,m===t)))if(m=Q,r.charCodeAt(Q)===40?(b=ge,Q++):(b=t,I===0&&Qe(re)),b!==t){for(N=[],K=He();K!==t;)N.push(K),K=He();if(N!==t)if(K=Z1(),K!==t){for(ce=[],Se=He();Se!==t;)ce.push(Se),Se=He();ce!==t?(r.charCodeAt(Q)===41?(Se=O,Q++):(Se=t,I===0&&Qe(F)),Se!==t?(Me=m,b=HE(K),m=b):(Q=m,m=t)):(Q=m,m=t)}else Q=m,m=t;else Q=m,m=t}else Q=m,m=t}return m}function oS(){var m,b,N,K,ce,Se,ht,Bt;if(m=Q,b=sS(),b!==t){for(N=[],K=Q,ce=[],Se=He();Se!==t;)ce.push(Se),Se=He();if(ce!==t)if(r.charCodeAt(Q)===42?(Se=Ig,Q++):(Se=t,I===0&&Qe(BA)),Se===t&&(r.charCodeAt(Q)===47?(Se=Rr,Q++):(Se=t,I===0&&Qe(GE))),Se!==t){for(ht=[],Bt=He();Bt!==t;)ht.push(Bt),Bt=He();ht!==t?(Bt=sS(),Bt!==t?(Me=K,ce=Ys(b,Se,Bt),K=ce):(Q=K,K=t)):(Q=K,K=t)}else Q=K,K=t;else Q=K,K=t;for(;K!==t;){for(N.push(K),K=Q,ce=[],Se=He();Se!==t;)ce.push(Se),Se=He();if(ce!==t)if(r.charCodeAt(Q)===42?(Se=Ig,Q++):(Se=t,I===0&&Qe(BA)),Se===t&&(r.charCodeAt(Q)===47?(Se=Rr,Q++):(Se=t,I===0&&Qe(GE))),Se!==t){for(ht=[],Bt=He();Bt!==t;)ht.push(Bt),Bt=He();ht!==t?(Bt=sS(),Bt!==t?(Me=K,ce=Ys(b,Se,Bt),K=ce):(Q=K,K=t)):(Q=K,K=t)}else Q=K,K=t;else Q=K,K=t}N!==t?(Me=m,b=js(b,N),m=b):(Q=m,m=t)}else Q=m,m=t;return m}function Z1(){var m,b,N,K,ce,Se,ht,Bt;if(m=Q,b=oS(),b!==t){for(N=[],K=Q,ce=[],Se=He();Se!==t;)ce.push(Se),Se=He();if(ce!==t)if(r.charCodeAt(Q)===43?(Se=Gs,Q++):(Se=t,I===0&&Qe(Yl)),Se===t&&(r.charCodeAt(Q)===45?(Se=wA,Q++):(Se=t,I===0&&Qe(Gl))),Se!==t){for(ht=[],Bt=He();Bt!==t;)ht.push(Bt),Bt=He();ht!==t?(Bt=oS(),Bt!==t?(Me=K,ce=yg(b,Se,Bt),K=ce):(Q=K,K=t)):(Q=K,K=t)}else Q=K,K=t;else Q=K,K=t;for(;K!==t;){for(N.push(K),K=Q,ce=[],Se=He();Se!==t;)ce.push(Se),Se=He();if(ce!==t)if(r.charCodeAt(Q)===43?(Se=Gs,Q++):(Se=t,I===0&&Qe(Yl)),Se===t&&(r.charCodeAt(Q)===45?(Se=wA,Q++):(Se=t,I===0&&Qe(Gl))),Se!==t){for(ht=[],Bt=He();Bt!==t;)ht.push(Bt),Bt=He();ht!==t?(Bt=oS(),Bt!==t?(Me=K,ce=yg(b,Se,Bt),K=ce):(Q=K,K=t)):(Q=K,K=t)}else Q=K,K=t;else Q=K,K=t}N!==t?(Me=m,b=js(b,N),m=b):(Q=m,m=t)}else Q=m,m=t;return m}function _1(){var m,b,N,K,ce,Se;if(m=Q,r.substr(Q,3)===QA?(b=QA,Q+=3):(b=t,I===0&&Qe(R)),b!==t){for(N=[],K=He();K!==t;)N.push(K),K=He();if(N!==t)if(K=Z1(),K!==t){for(ce=[],Se=He();Se!==t;)ce.push(Se),Se=He();ce!==t?(r.substr(Q,2)===q?(Se=q,Q+=2):(Se=t,I===0&&Qe(Ce)),Se!==t?(Me=m,b=Ue(K),m=b):(Q=m,m=t)):(Q=m,m=t)}else Q=m,m=t;else Q=m,m=t}else Q=m,m=t;return m}function $1(){var m,b,N,K;return m=Q,r.substr(Q,2)===Re?(b=Re,Q+=2):(b=t,I===0&&Qe(ze)),b!==t?(N=Mr(),N!==t?(r.charCodeAt(Q)===41?(K=O,Q++):(K=t,I===0&&Qe(F)),K!==t?(Me=m,b=dt(N),m=b):(Q=m,m=t)):(Q=m,m=t)):(Q=m,m=t),m}function aS(){var m,b,N,K,ce,Se;return 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r=0,e=arguments.length;r<e;r++)mme(this,arguments[r]);return this.length};Ht.prototype.unshift=function(){for(var r=0,e=arguments.length;r<e;r++)Eme(this,arguments[r]);return this.length};Ht.prototype.pop=function(){if(!!this.tail){var r=this.tail.value;return this.tail=this.tail.prev,this.tail?this.tail.next=null:this.head=null,this.length--,r}};Ht.prototype.shift=function(){if(!!this.head){var r=this.head.value;return this.head=this.head.next,this.head?this.head.prev=null:this.tail=null,this.length--,r}};Ht.prototype.forEach=function(r,e){e=e||this;for(var t=this.head,i=0;t!==null;i++)r.call(e,t.value,i,this),t=t.next};Ht.prototype.forEachReverse=function(r,e){e=e||this;for(var t=this.tail,i=this.length-1;t!==null;i--)r.call(e,t.value,i,this),t=t.prev};Ht.prototype.get=function(r){for(var e=0,t=this.head;t!==null&&e<r;e++)t=t.next;if(e===r&&t!==null)return t.value};Ht.prototype.getReverse=function(r){for(var e=0,t=this.tail;t!==null&&e<r;e++)t=t.prev;if(e===r&&t!==null)return 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n=i[t],s=r[n];e.call(null,s,n)}else throw Error("non exhaustive match")}exports.forEach=forEach;function isString(r){return typeof r=="string"}exports.isString=isString;function isUndefined(r){return r===void 0}exports.isUndefined=isUndefined;function isFunction(r){return r instanceof Function}exports.isFunction=isFunction;function drop(r,e){return e===void 0&&(e=1),r.slice(e,r.length)}exports.drop=drop;function dropRight(r,e){return e===void 0&&(e=1),r.slice(0,r.length-e)}exports.dropRight=dropRight;function filter(r,e){var t=[];if(Array.isArray(r))for(var i=0;i<r.length;i++){var n=r[i];e.call(null,n)&&t.push(n)}return t}exports.filter=filter;function reject(r,e){return filter(r,function(t){return!e(t)})}exports.reject=reject;function pick(r,e){for(var t=Object.keys(r),i={},n=0;n<t.length;n++){var s=t[n],o=r[s];e(o)&&(i[s]=o)}return i}exports.pick=pick;function has(r,e){return isObject(r)?r.hasOwnProperty(e):!1}exports.has=has;function contains(r,e){return find(r,function(t){return t===e})!==void 0}exports.contains=contains;function cloneArr(r){for(var e=[],t=0;t<r.length;t++)e.push(r[t]);return e}exports.cloneArr=cloneArr;function cloneObj(r){var e={};for(var t in r)Object.prototype.hasOwnProperty.call(r,t)&&(e[t]=r[t]);return e}exports.cloneObj=cloneObj;function find(r,e){for(var t=0;t<r.length;t++){var i=r[t];if(e.call(null,i))return i}}exports.find=find;function findAll(r,e){for(var t=[],i=0;i<r.length;i++){var n=r[i];e.call(null,n)&&t.push(n)}return t}exports.findAll=findAll;function reduce(r,e,t){for(var i=Array.isArray(r),n=i?r:values(r),s=i?[]:keys(r),o=t,a=0;a<n.length;a++)o=e.call(null,o,n[a],i?a:s[a]);return o}exports.reduce=reduce;function compact(r){return reject(r,function(e){return e==null})}exports.compact=compact;function uniq(r,e){e===void 0&&(e=function(i){return i});var t=[];return reduce(r,function(i,n){var s=e(n);return contains(t,s)?i:(t.push(s),i.concat(n))},[])}exports.uniq=uniq;function partial(r){for(var e=[],t=1;t<arguments.length;t++)e[t-1]=arguments[t];var i=[null],n=i.concat(e);return Function.bind.apply(r,n)}exports.partial=partial;function isArray(r){return Array.isArray(r)}exports.isArray=isArray;function isRegExp(r){return r instanceof RegExp}exports.isRegExp=isRegExp;function isObject(r){return r instanceof Object}exports.isObject=isObject;function every(r,e){for(var t=0;t<r.length;t++)if(!e(r[t],t))return!1;return!0}exports.every=every;function difference(r,e){return reject(r,function(t){return contains(e,t)})}exports.difference=difference;function some(r,e){for(var t=0;t<r.length;t++)if(e(r[t]))return!0;return!1}exports.some=some;function indexOf(r,e){for(var t=0;t<r.length;t++)if(r[t]===e)return t;return-1}exports.indexOf=indexOf;function sortBy(r,e){var t=cloneArr(r);return t.sort(function(i,n){return e(i)-e(n)}),t}exports.sortBy=sortBy;function zipObject(r,e){if(r.length!==e.length)throw Error("can't zipObject with different number of keys and values!");for(var t={},i=0;i<r.length;i++)t[r[i]]=e[i];return t}exports.zipObject=zipObject;function assign(r){for(var e=[],t=1;t<arguments.length;t++)e[t-1]=arguments[t];for(var i=0;i<e.length;i++)for(var n=e[i],s=keys(n),o=0;o<s.length;o++){var a=s[o];r[a]=n[a]}return r}exports.assign=assign;function assignNoOverwrite(r){for(var e=[],t=1;t<arguments.length;t++)e[t-1]=arguments[t];for(var i=0;i<e.length;i++)for(var n=e[i],s=keys(n),o=0;o<s.length;o++){var a=s[o];has(r,a)||(r[a]=n[a])}return r}exports.assignNoOverwrite=assignNoOverwrite;function defaults(){for(var r=[],e=0;e<arguments.length;e++)r[e]=arguments[e];return assignNoOverwrite.apply(void 0,__spreadArray([{}],r,!1))}exports.defaults=defaults;function groupBy(r,e){var t={};return forEach(r,function(i){var n=e(i),s=t[n];s?s.push(i):t[n]=[i]}),t}exports.groupBy=groupBy;function merge(r,e){for(var t=cloneObj(r),i=keys(e),n=0;n<i.length;n++){var s=i[n],o=e[s];t[s]=o}return t}exports.merge=merge;function NOOP(){}exports.NOOP=NOOP;function IDENTITY(r){return r}exports.IDENTITY=IDENTITY;function packArray(r){for(var e=[],t=0;t<r.length;t++){var i=r[t];e.push(i!==void 0?i:void 0)}return e}exports.packArray=packArray;function PRINT_ERROR(r){console&&console.error&&console.error("Error: "+r)}exports.PRINT_ERROR=PRINT_ERROR;function PRINT_WARNING(r){console&&console.warn&&console.warn("Warning: "+r)}exports.PRINT_WARNING=PRINT_WARNING;function isES2015MapSupported(){return typeof Map=="function"}exports.isES2015MapSupported=isES2015MapSupported;function peek(r){return r[r.length-1]}exports.peek=peek;function timer(r){var e=new Date().getTime(),t=r(),i=new Date().getTime(),n=i-e;return{time:n,value:t}}exports.timer=timer;function toFastProperties(toBecomeFast){function FakeConstructor(){}FakeConstructor.prototype=toBecomeFast;var fakeInstance=new FakeConstructor;function fakeAccess(){return typeof fakeInstance.bar}return fakeAccess(),fakeAccess(),toBecomeFast;eval(toBecomeFast)}exports.toFastProperties=toFastProperties;function upperFirst(r){if(!r)return r;var e=getCharacterFromCodePointAt(r,0);return e.toUpperCase()+r.substring(e.length)}exports.upperFirst=upperFirst;var surrogatePairPattern=/[\uD800-\uDBFF][\uDC00-\uDFFF]/;function getCharacterFromCodePointAt(r,e){var t=r.substring(e,e+1);return surrogatePairPattern.test(t)?t:r[e]}});var $I=w((MY,_I)=>{(function(r,e){typeof define=="function"&&define.amd?define([],e):typeof _I=="object"&&_I.exports?_I.exports=e():r.regexpToAst=e()})(typeof self<"u"?self:MY,function(){function r(){}r.prototype.saveState=function(){return{idx:this.idx,input:this.input,groupIdx:this.groupIdx}},r.prototype.restoreState=function(p){this.idx=p.idx,this.input=p.input,this.groupIdx=p.groupIdx},r.prototype.pattern=function(p){this.idx=0,this.input=p,this.groupIdx=0,this.consumeChar("/");var C=this.disjunction();this.consumeChar("/");for(var y={type:"Flags",loc:{begin:this.idx,end:p.length},global:!1,ignoreCase:!1,multiLine:!1,unicode:!1,sticky:!1};this.isRegExpFlag();)switch(this.popChar()){case"g":o(y,"global");break;case"i":o(y,"ignoreCase");break;case"m":o(y,"multiLine");break;case"u":o(y,"unicode");break;case"y":o(y,"sticky");break}if(this.idx!==this.input.length)throw Error("Redundant input: "+this.input.substring(this.idx));return{type:"Pattern",flags:y,value:C,loc:this.loc(0)}},r.prototype.disjunction=function(){var p=[],C=this.idx;for(p.push(this.alternative());this.peekChar()==="|";)this.consumeChar("|"),p.push(this.alternative());return{type:"Disjunction",value:p,loc:this.loc(C)}},r.prototype.alternative=function(){for(var p=[],C=this.idx;this.isTerm();)p.push(this.term());return{type:"Alternative",value:p,loc:this.loc(C)}},r.prototype.term=function(){return this.isAssertion()?this.assertion():this.atom()},r.prototype.assertion=function(){var p=this.idx;switch(this.popChar()){case"^":return{type:"StartAnchor",loc:this.loc(p)};case"$":return{type:"EndAnchor",loc:this.loc(p)};case"\\":switch(this.popChar()){case"b":return{type:"WordBoundary",loc:this.loc(p)};case"B":return{type:"NonWordBoundary",loc:this.loc(p)}}throw Error("Invalid Assertion Escape");case"(":this.consumeChar("?");var C;switch(this.popChar()){case"=":C="Lookahead";break;case"!":C="NegativeLookahead";break}a(C);var y=this.disjunction();return this.consumeChar(")"),{type:C,value:y,loc:this.loc(p)}}l()},r.prototype.quantifier=function(p){var C,y=this.idx;switch(this.popChar()){case"*":C={atLeast:0,atMost:1/0};break;case"+":C={atLeast:1,atMost:1/0};break;case"?":C={atLeast:0,atMost:1};break;case"{":var B=this.integerIncludingZero();switch(this.popChar()){case"}":C={atLeast:B,atMost:B};break;case",":var v;this.isDigit()?(v=this.integerIncludingZero(),C={atLeast:B,atMost:v}):C={atLeast:B,atMost:1/0},this.consumeChar("}");break}if(p===!0&&C===void 0)return;a(C);break}if(!(p===!0&&C===void 0))return a(C),this.peekChar(0)==="?"?(this.consumeChar("?"),C.greedy=!1):C.greedy=!0,C.type="Quantifier",C.loc=this.loc(y),C},r.prototype.atom=function(){var p,C=this.idx;switch(this.peekChar()){case".":p=this.dotAll();break;case"\\":p=this.atomEscape();break;case"[":p=this.characterClass();break;case"(":p=this.group();break}return p===void 0&&this.isPatternCharacter()&&(p=this.patternCharacter()),a(p),p.loc=this.loc(C),this.isQuantifier()&&(p.quantifier=this.quantifier()),p},r.prototype.dotAll=function(){return this.consumeChar("."),{type:"Set",complement:!0,value:[n(`
`),n("\r"),n("\u2028"),n("\u2029")]}},r.prototype.atomEscape=function(){switch(this.consumeChar("\\"),this.peekChar()){case"1":case"2":case"3":case"4":case"5":case"6":case"7":case"8":case"9":return this.decimalEscapeAtom();case"d":case"D":case"s":case"S":case"w":case"W":return this.characterClassEscape();case"f":case"n":case"r":case"t":case"v":return this.controlEscapeAtom();case"c":return this.controlLetterEscapeAtom();case"0":return this.nulCharacterAtom();case"x":return this.hexEscapeSequenceAtom();case"u":return this.regExpUnicodeEscapeSequenceAtom();default:return this.identityEscapeAtom()}},r.prototype.decimalEscapeAtom=function(){var p=this.positiveInteger();return{type:"GroupBackReference",value:p}},r.prototype.characterClassEscape=function(){var p,C=!1;switch(this.popChar()){case"d":p=u;break;case"D":p=u,C=!0;break;case"s":p=f;break;case"S":p=f,C=!0;break;case"w":p=g;break;case"W":p=g,C=!0;break}return a(p),{type:"Set",value:p,complement:C}},r.prototype.controlEscapeAtom=function(){var p;switch(this.popChar()){case"f":p=n("\f");break;case"n":p=n(`
`);break;case"r":p=n("\r");break;case"t":p=n(" ");break;case"v":p=n("\v");break}return a(p),{type:"Character",value:p}},r.prototype.controlLetterEscapeAtom=function(){this.consumeChar("c");var p=this.popChar();if(/[a-zA-Z]/.test(p)===!1)throw Error("Invalid ");var C=p.toUpperCase().charCodeAt(0)-64;return{type:"Character",value:C}},r.prototype.nulCharacterAtom=function(){return this.consumeChar("0"),{type:"Character",value:n("\0")}},r.prototype.hexEscapeSequenceAtom=function(){return this.consumeChar("x"),this.parseHexDigits(2)},r.prototype.regExpUnicodeEscapeSequenceAtom=function(){return this.consumeChar("u"),this.parseHexDigits(4)},r.prototype.identityEscapeAtom=function(){var p=this.popChar();return{type:"Character",value:n(p)}},r.prototype.classPatternCharacterAtom=function(){switch(this.peekChar()){case`
`:case"\r":case"\u2028":case"\u2029":case"\\":case"]":throw Error("TBD");default:var p=this.popChar();return{type:"Character",value:n(p)}}},r.prototype.characterClass=function(){var p=[],C=!1;for(this.consumeChar("["),this.peekChar(0)==="^"&&(this.consumeChar("^"),C=!0);this.isClassAtom();){var y=this.classAtom(),B=y.type==="Character";if(B&&this.isRangeDash()){this.consumeChar("-");var v=this.classAtom(),D=v.type==="Character";if(D){if(v.value<y.value)throw Error("Range out of order in character class");p.push({from:y.value,to:v.value})}else s(y.value,p),p.push(n("-")),s(v.value,p)}else s(y.value,p)}return this.consumeChar("]"),{type:"Set",complement:C,value:p}},r.prototype.classAtom=function(){switch(this.peekChar()){case"]":case`
`:case"\r":case"\u2028":case"\u2029":throw Error("TBD");case"\\":return this.classEscape();default:return this.classPatternCharacterAtom()}},r.prototype.classEscape=function(){switch(this.consumeChar("\\"),this.peekChar()){case"b":return this.consumeChar("b"),{type:"Character",value:n("\b")};case"d":case"D":case"s":case"S":case"w":case"W":return this.characterClassEscape();case"f":case"n":case"r":case"t":case"v":return this.controlEscapeAtom();case"c":return this.controlLetterEscapeAtom();case"0":return this.nulCharacterAtom();case"x":return this.hexEscapeSequenceAtom();case"u":return this.regExpUnicodeEscapeSequenceAtom();default:return this.identityEscapeAtom()}},r.prototype.group=function(){var p=!0;switch(this.consumeChar("("),this.peekChar(0)){case"?":this.consumeChar("?"),this.consumeChar(":"),p=!1;break;default:this.groupIdx++;break}var C=this.disjunction();this.consumeChar(")");var y={type:"Group",capturing:p,value:C};return p&&(y.idx=this.groupIdx),y},r.prototype.positiveInteger=function(){var p=this.popChar();if(i.test(p)===!1)throw Error("Expecting a positive integer");for(;t.test(this.peekChar(0));)p+=this.popChar();return parseInt(p,10)},r.prototype.integerIncludingZero=function(){var p=this.popChar();if(t.test(p)===!1)throw Error("Expecting an integer");for(;t.test(this.peekChar(0));)p+=this.popChar();return parseInt(p,10)},r.prototype.patternCharacter=function(){var p=this.popChar();switch(p){case`
`:case"\r":case"\u2028":case"\u2029":case"^":case"$":case"\\":case".":case"*":case"+":case"?":case"(":case")":case"[":case"|":throw Error("TBD");default:return{type:"Character",value:n(p)}}},r.prototype.isRegExpFlag=function(){switch(this.peekChar(0)){case"g":case"i":case"m":case"u":case"y":return!0;default:return!1}},r.prototype.isRangeDash=function(){return this.peekChar()==="-"&&this.isClassAtom(1)},r.prototype.isDigit=function(){return t.test(this.peekChar(0))},r.prototype.isClassAtom=function(p){switch(p===void 0&&(p=0),this.peekChar(p)){case"]":case`
`:case"\r":case"\u2028":case"\u2029":return!1;default:return!0}},r.prototype.isTerm=function(){return this.isAtom()||this.isAssertion()},r.prototype.isAtom=function(){if(this.isPatternCharacter())return!0;switch(this.peekChar(0)){case".":case"\\":case"[":case"(":return!0;default:return!1}},r.prototype.isAssertion=function(){switch(this.peekChar(0)){case"^":case"$":return!0;case"\\":switch(this.peekChar(1)){case"b":case"B":return!0;default:return!1}case"(":return this.peekChar(1)==="?"&&(this.peekChar(2)==="="||this.peekChar(2)==="!");default:return!1}},r.prototype.isQuantifier=function(){var p=this.saveState();try{return this.quantifier(!0)!==void 0}catch{return!1}finally{this.restoreState(p)}},r.prototype.isPatternCharacter=function(){switch(this.peekChar()){case"^":case"$":case"\\":case".":case"*":case"+":case"?":case"(":case")":case"[":case"|":case"/":case`
`:case"\r":case"\u2028":case"\u2029":return!1;default:return!0}},r.prototype.parseHexDigits=function(p){for(var C="",y=0;y<p;y++){var B=this.popChar();if(e.test(B)===!1)throw Error("Expecting a HexDecimal digits");C+=B}var v=parseInt(C,16);return{type:"Character",value:v}},r.prototype.peekChar=function(p){return p===void 0&&(p=0),this.input[this.idx+p]},r.prototype.popChar=function(){var p=this.peekChar(0);return this.consumeChar(),p},r.prototype.consumeChar=function(p){if(p!==void 0&&this.input[this.idx]!==p)throw Error("Expected: '"+p+"' but found: '"+this.input[this.idx]+"' at offset: "+this.idx);if(this.idx>=this.input.length)throw Error("Unexpected end of input");this.idx++},r.prototype.loc=function(p){return{begin:p,end:this.idx}};var e=/[0-9a-fA-F]/,t=/[0-9]/,i=/[1-9]/;function n(p){return p.charCodeAt(0)}function s(p,C){p.length!==void 0?p.forEach(function(y){C.push(y)}):C.push(p)}function o(p,C){if(p[C]===!0)throw"duplicate flag "+C;p[C]=!0}function a(p){if(p===void 0)throw Error("Internal Error - Should never get here!")}function l(){throw Error("Internal Error - Should never get here!")}var c,u=[];for(c=n("0");c<=n("9");c++)u.push(c);var g=[n("_")].concat(u);for(c=n("a");c<=n("z");c++)g.push(c);for(c=n("A");c<=n("Z");c++)g.push(c);var f=[n(" "),n("\f"),n(`
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`)+" Please open an issue at: https://github.com/bd82/regexp-to-ast/issues"+n)}}return[]}dn.getOptimizedStartCodesIndices=yEe;function iy(r,e,t){switch(r.type){case"Disjunction":for(var i=0;i<r.value.length;i++)iy(r.value[i],e,t);break;case"Alternative":for(var n=r.value,i=0;i<n.length;i++){var s=n[i];switch(s.type){case"EndAnchor":case"GroupBackReference":case"Lookahead":case"NegativeLookahead":case"StartAnchor":case"WordBoundary":case"NonWordBoundary":continue}var o=s;switch(o.type){case"Character":ry(o.value,e,t);break;case"Set":if(o.complement===!0)throw Error(GY);(0,gs.forEach)(o.value,function(c){if(typeof c=="number")ry(c,e,t);else{var u=c;if(t===!0)for(var g=u.from;g<=u.to;g++)ry(g,e,t);else{for(var g=u.from;g<=u.to&&g<va.minOptimizationVal;g++)ry(g,e,t);if(u.to>=va.minOptimizationVal)for(var f=u.from>=va.minOptimizationVal?u.from:va.minOptimizationVal,h=u.to,p=(0,va.charCodeToOptimizedIndex)(f),C=(0,va.charCodeToOptimizedIndex)(h),y=p;y<=C;y++)e[y]=y}}});break;case"Group":iy(o.value,e,t);break;default:throw Error("Non Exhaustive Match")}var a=o.quantifier!==void 0&&o.quantifier.atLeast===0;if(o.type==="Group"&&kv(o)===!1||o.type!=="Group"&&a===!1)break}break;default:throw Error("non exhaustive match!")}return(0,gs.values)(e)}dn.firstCharOptimizedIndices=iy;function ry(r,e,t){var i=(0,va.charCodeToOptimizedIndex)(r);e[i]=i,t===!0&&wEe(r,e)}function wEe(r,e){var t=String.fromCharCode(r),i=t.toUpperCase();if(i!==t){var n=(0,va.charCodeToOptimizedIndex)(i.charCodeAt(0));e[n]=n}else{var s=t.toLowerCase();if(s!==t){var n=(0,va.charCodeToOptimizedIndex)(s.charCodeAt(0));e[n]=n}}}function UY(r,e){return(0,gs.find)(r.value,function(t){if(typeof t=="number")return(0,gs.contains)(e,t);var i=t;return(0,gs.find)(e,function(n){return i.from<=n&&n<=i.to})!==void 0})}function kv(r){return r.quantifier&&r.quantifier.atLeast===0?!0:r.value?(0,gs.isArray)(r.value)?(0,gs.every)(r.value,kv):kv(r.value):!1}var BEe=function(r){IEe(e,r);function e(t){var i=r.call(this)||this;return i.targetCharCodes=t,i.found=!1,i}return e.prototype.visitChildren=function(t){if(this.found!==!0){switch(t.type){case"Lookahead":this.visitLookahead(t);return;case"NegativeLookahead":this.visitNegativeLookahead(t);return}r.prototype.visitChildren.call(this,t)}},e.prototype.visitCharacter=function(t){(0,gs.contains)(this.targetCharCodes,t.value)&&(this.found=!0)},e.prototype.visitSet=function(t){t.complement?UY(t,this.targetCharCodes)===void 0&&(this.found=!0):UY(t,this.targetCharCodes)!==void 0&&(this.found=!0)},e}(KY.BaseRegExpVisitor);function QEe(r,e){if(e instanceof RegExp){var t=(0,HY.getRegExpAst)(e),i=new BEe(r);return i.visit(t),i.found}else return(0,gs.find)(e,function(n){return(0,gs.contains)(r,n.charCodeAt(0))})!==void 0}dn.canMatchCharCode=QEe});var Rv=w(Ve=>{"use strict";var jY=Ve&&Ve.__extends||function(){var r=function(e,t){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(i,n){i.__proto__=n}||function(i,n){for(var s in n)Object.prototype.hasOwnProperty.call(n,s)&&(i[s]=n[s])},r(e,t)};return function(e,t){if(typeof t!="function"&&t!==null)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");r(e,t);function i(){this.constructor=e}e.prototype=t===null?Object.create(t):(i.prototype=t.prototype,new i)}}();Object.defineProperty(Ve,"__esModule",{value:!0});Ve.charCodeToOptimizedIndex=Ve.minOptimizationVal=Ve.buildLineBreakIssueMessage=Ve.LineTerminatorOptimizedTester=Ve.isShortPattern=Ve.isCustomPattern=Ve.cloneEmptyGroups=Ve.performWarningRuntimeChecks=Ve.performRuntimeChecks=Ve.addStickyFlag=Ve.addStartOfInput=Ve.findUnreachablePatterns=Ve.findModesThatDoNotExist=Ve.findInvalidGroupType=Ve.findDuplicatePatterns=Ve.findUnsupportedFlags=Ve.findStartOfInputAnchor=Ve.findEmptyMatchRegExps=Ve.findEndOfInputAnchor=Ve.findInvalidPatterns=Ve.findMissingPatterns=Ve.validatePatterns=Ve.analyzeTokenTypes=Ve.enableSticky=Ve.disableSticky=Ve.SUPPORT_STICKY=Ve.MODES=Ve.DEFAULT_MODE=void 0;var qY=$I(),ir=Bd(),xe=Gt(),Zg=YY(),JY=ty(),Do="PATTERN";Ve.DEFAULT_MODE="defaultMode";Ve.MODES="modes";Ve.SUPPORT_STICKY=typeof new RegExp("(?:)").sticky=="boolean";function bEe(){Ve.SUPPORT_STICKY=!1}Ve.disableSticky=bEe;function SEe(){Ve.SUPPORT_STICKY=!0}Ve.enableSticky=SEe;function vEe(r,e){e=(0,xe.defaults)(e,{useSticky:Ve.SUPPORT_STICKY,debug:!1,safeMode:!1,positionTracking:"full",lineTerminatorCharacters:["\r",`
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`)+` The regexp unicode flag is not currently supported by the regexp-to-ast library.
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`)+` This will disable the lexer's first char optimizations.
For details See: https://chevrotain.io/docs/guide/resolving_lexer_errors.html#CUSTOM_OPTIMIZE`),y=!1;return v},[])}),t("ArrayPacking",function(){B=(0,xe.packArray)(B)}),{emptyGroups:p,patternIdxToConfig:C,charCodeToPatternIdxToConfig:B,hasCustom:n,canBeOptimized:y}}Ve.analyzeTokenTypes=vEe;function xEe(r,e){var t=[],i=WY(r);t=t.concat(i.errors);var n=zY(i.valid),s=n.valid;return t=t.concat(n.errors),t=t.concat(PEe(s)),t=t.concat(ej(s)),t=t.concat(tj(s,e)),t=t.concat(rj(s)),t}Ve.validatePatterns=xEe;function PEe(r){var e=[],t=(0,xe.filter)(r,function(i){return(0,xe.isRegExp)(i[Do])});return e=e.concat(VY(t)),e=e.concat(ZY(t)),e=e.concat(_Y(t)),e=e.concat($Y(t)),e=e.concat(XY(t)),e}function WY(r){var e=(0,xe.filter)(r,function(n){return!(0,xe.has)(n,Do)}),t=(0,xe.map)(e,function(n){return{message:"Token Type: ->"+n.name+"<- missing static 'PATTERN' property",type:ir.LexerDefinitionErrorType.MISSING_PATTERN,tokenTypes:[n]}}),i=(0,xe.difference)(r,e);return{errors:t,valid:i}}Ve.findMissingPatterns=WY;function zY(r){var e=(0,xe.filter)(r,function(n){var s=n[Do];return!(0,xe.isRegExp)(s)&&!(0,xe.isFunction)(s)&&!(0,xe.has)(s,"exec")&&!(0,xe.isString)(s)}),t=(0,xe.map)(e,function(n){return{message:"Token Type: ->"+n.name+"<- static 'PATTERN' can only be a RegExp, a Function matching the {CustomPatternMatcherFunc} type or an Object matching the {ICustomPattern} interface.",type:ir.LexerDefinitionErrorType.INVALID_PATTERN,tokenTypes:[n]}}),i=(0,xe.difference)(r,e);return{errors:t,valid:i}}Ve.findInvalidPatterns=zY;var DEe=/[^\\][\$]/;function VY(r){var e=function(n){jY(s,n);function s(){var o=n!==null&&n.apply(this,arguments)||this;return o.found=!1,o}return s.prototype.visitEndAnchor=function(o){this.found=!0},s}(qY.BaseRegExpVisitor),t=(0,xe.filter)(r,function(n){var s=n[Do];try{var o=(0,JY.getRegExpAst)(s),a=new e;return a.visit(o),a.found}catch{return DEe.test(s.source)}}),i=(0,xe.map)(t,function(n){return{message:`Unexpected RegExp Anchor Error:
Token Type: ->`+n.name+`<- static 'PATTERN' cannot contain end of input anchor '$'
See chevrotain.io/docs/guide/resolving_lexer_errors.html#ANCHORS for details.`,type:ir.LexerDefinitionErrorType.EOI_ANCHOR_FOUND,tokenTypes:[n]}});return i}Ve.findEndOfInputAnchor=VY;function XY(r){var e=(0,xe.filter)(r,function(i){var n=i[Do];return n.test("")}),t=(0,xe.map)(e,function(i){return{message:"Token Type: ->"+i.name+"<- static 'PATTERN' must not match an empty string",type:ir.LexerDefinitionErrorType.EMPTY_MATCH_PATTERN,tokenTypes:[i]}});return t}Ve.findEmptyMatchRegExps=XY;var kEe=/[^\\[][\^]|^\^/;function ZY(r){var e=function(n){jY(s,n);function s(){var o=n!==null&&n.apply(this,arguments)||this;return o.found=!1,o}return s.prototype.visitStartAnchor=function(o){this.found=!0},s}(qY.BaseRegExpVisitor),t=(0,xe.filter)(r,function(n){var s=n[Do];try{var o=(0,JY.getRegExpAst)(s),a=new e;return a.visit(o),a.found}catch{return kEe.test(s.source)}}),i=(0,xe.map)(t,function(n){return{message:`Unexpected RegExp Anchor Error:
Token Type: ->`+n.name+`<- static 'PATTERN' cannot contain start of input anchor '^'
See https://chevrotain.io/docs/guide/resolving_lexer_errors.html#ANCHORS for details.`,type:ir.LexerDefinitionErrorType.SOI_ANCHOR_FOUND,tokenTypes:[n]}});return i}Ve.findStartOfInputAnchor=ZY;function _Y(r){var e=(0,xe.filter)(r,function(i){var n=i[Do];return n instanceof RegExp&&(n.multiline||n.global)}),t=(0,xe.map)(e,function(i){return{message:"Token Type: ->"+i.name+"<- static 'PATTERN' may NOT contain global('g') or multiline('m')",type:ir.LexerDefinitionErrorType.UNSUPPORTED_FLAGS_FOUND,tokenTypes:[i]}});return t}Ve.findUnsupportedFlags=_Y;function $Y(r){var e=[],t=(0,xe.map)(r,function(s){return(0,xe.reduce)(r,function(o,a){return s.PATTERN.source===a.PATTERN.source&&!(0,xe.contains)(e,a)&&a.PATTERN!==ir.Lexer.NA&&(e.push(a),o.push(a)),o},[])});t=(0,xe.compact)(t);var i=(0,xe.filter)(t,function(s){return s.length>1}),n=(0,xe.map)(i,function(s){var o=(0,xe.map)(s,function(l){return l.name}),a=(0,xe.first)(s).PATTERN;return{message:"The same RegExp pattern ->"+a+"<-"+("has been used in all of the following Token Types: "+o.join(", ")+" <-"),type:ir.LexerDefinitionErrorType.DUPLICATE_PATTERNS_FOUND,tokenTypes:s}});return n}Ve.findDuplicatePatterns=$Y;function ej(r){var e=(0,xe.filter)(r,function(i){if(!(0,xe.has)(i,"GROUP"))return!1;var n=i.GROUP;return n!==ir.Lexer.SKIPPED&&n!==ir.Lexer.NA&&!(0,xe.isString)(n)}),t=(0,xe.map)(e,function(i){return{message:"Token Type: ->"+i.name+"<- static 'GROUP' can only be Lexer.SKIPPED/Lexer.NA/A String",type:ir.LexerDefinitionErrorType.INVALID_GROUP_TYPE_FOUND,tokenTypes:[i]}});return t}Ve.findInvalidGroupType=ej;function tj(r,e){var t=(0,xe.filter)(r,function(n){return n.PUSH_MODE!==void 0&&!(0,xe.contains)(e,n.PUSH_MODE)}),i=(0,xe.map)(t,function(n){var s="Token Type: ->"+n.name+"<- static 'PUSH_MODE' value cannot refer to a Lexer Mode ->"+n.PUSH_MODE+"<-which does not exist";return{message:s,type:ir.LexerDefinitionErrorType.PUSH_MODE_DOES_NOT_EXIST,tokenTypes:[n]}});return i}Ve.findModesThatDoNotExist=tj;function rj(r){var e=[],t=(0,xe.reduce)(r,function(i,n,s){var o=n.PATTERN;return o===ir.Lexer.NA||((0,xe.isString)(o)?i.push({str:o,idx:s,tokenType:n}):(0,xe.isRegExp)(o)&&FEe(o)&&i.push({str:o.source,idx:s,tokenType:n})),i},[]);return(0,xe.forEach)(r,function(i,n){(0,xe.forEach)(t,function(s){var o=s.str,a=s.idx,l=s.tokenType;if(n<a&&REe(o,i.PATTERN)){var c="Token: ->"+l.name+`<- can never be matched.
`+("Because it appears AFTER the Token Type ->"+i.name+"<-")+`in the lexer's definition.
See https://chevrotain.io/docs/guide/resolving_lexer_errors.html#UNREACHABLE`;e.push({message:c,type:ir.LexerDefinitionErrorType.UNREACHABLE_PATTERN,tokenTypes:[i,l]})}})}),e}Ve.findUnreachablePatterns=rj;function REe(r,e){if((0,xe.isRegExp)(e)){var t=e.exec(r);return t!==null&&t.index===0}else{if((0,xe.isFunction)(e))return e(r,0,[],{});if((0,xe.has)(e,"exec"))return e.exec(r,0,[],{});if(typeof e=="string")return e===r;throw Error("non exhaustive match")}}function FEe(r){var e=[".","\\","[","]","|","^","$","(",")","?","*","+","{"];return(0,xe.find)(e,function(t){return r.source.indexOf(t)!==-1})===void 0}function Nv(r){var e=r.ignoreCase?"i":"";return new RegExp("^(?:"+r.source+")",e)}Ve.addStartOfInput=Nv;function Lv(r){var e=r.ignoreCase?"iy":"y";return new RegExp(""+r.source,e)}Ve.addStickyFlag=Lv;function NEe(r,e,t){var i=[];return(0,xe.has)(r,Ve.DEFAULT_MODE)||i.push({message:"A MultiMode Lexer cannot be initialized without a <"+Ve.DEFAULT_MODE+`> property in its definition
`,type:ir.LexerDefinitionErrorType.MULTI_MODE_LEXER_WITHOUT_DEFAULT_MODE}),(0,xe.has)(r,Ve.MODES)||i.push({message:"A MultiMode Lexer cannot be initialized without a <"+Ve.MODES+`> property in its definition
`,type:ir.LexerDefinitionErrorType.MULTI_MODE_LEXER_WITHOUT_MODES_PROPERTY}),(0,xe.has)(r,Ve.MODES)&&(0,xe.has)(r,Ve.DEFAULT_MODE)&&!(0,xe.has)(r.modes,r.defaultMode)&&i.push({message:"A MultiMode Lexer cannot be initialized with a "+Ve.DEFAULT_MODE+": <"+r.defaultMode+`>which does not exist
`,type:ir.LexerDefinitionErrorType.MULTI_MODE_LEXER_DEFAULT_MODE_VALUE_DOES_NOT_EXIST}),(0,xe.has)(r,Ve.MODES)&&(0,xe.forEach)(r.modes,function(n,s){(0,xe.forEach)(n,function(o,a){(0,xe.isUndefined)(o)&&i.push({message:"A Lexer cannot be initialized using an undefined Token Type. Mode:"+("<"+s+"> at index: <"+a+`>
`),type:ir.LexerDefinitionErrorType.LEXER_DEFINITION_CANNOT_CONTAIN_UNDEFINED})})}),i}Ve.performRuntimeChecks=NEe;function LEe(r,e,t){var i=[],n=!1,s=(0,xe.compact)((0,xe.flatten)((0,xe.mapValues)(r.modes,function(l){return l}))),o=(0,xe.reject)(s,function(l){return l[Do]===ir.Lexer.NA}),a=oj(t);return e&&(0,xe.forEach)(o,function(l){var c=nj(l,a);if(c!==!1){var u=sj(l,c),g={message:u,type:c.issue,tokenType:l};i.push(g)}else(0,xe.has)(l,"LINE_BREAKS")?l.LINE_BREAKS===!0&&(n=!0):(0,Zg.canMatchCharCode)(a,l.PATTERN)&&(n=!0)}),e&&!n&&i.push({message:`Warning: No LINE_BREAKS Found.
This Lexer has been defined to track line and column information,
But none of the Token Types can be identified as matching a line terminator.
See https://chevrotain.io/docs/guide/resolving_lexer_errors.html#LINE_BREAKS
for details.`,type:ir.LexerDefinitionErrorType.NO_LINE_BREAKS_FLAGS}),i}Ve.performWarningRuntimeChecks=LEe;function TEe(r){var e={},t=(0,xe.keys)(r);return(0,xe.forEach)(t,function(i){var n=r[i];if((0,xe.isArray)(n))e[i]=[];else throw Error("non exhaustive match")}),e}Ve.cloneEmptyGroups=TEe;function Ov(r){var e=r.PATTERN;if((0,xe.isRegExp)(e))return!1;if((0,xe.isFunction)(e))return!0;if((0,xe.has)(e,"exec"))return!0;if((0,xe.isString)(e))return!1;throw Error("non exhaustive match")}Ve.isCustomPattern=Ov;function ij(r){return(0,xe.isString)(r)&&r.length===1?r.charCodeAt(0):!1}Ve.isShortPattern=ij;Ve.LineTerminatorOptimizedTester={test:function(r){for(var e=r.length,t=this.lastIndex;t<e;t++){var i=r.charCodeAt(t);if(i===10)return this.lastIndex=t+1,!0;if(i===13)return r.charCodeAt(t+1)===10?this.lastIndex=t+2:this.lastIndex=t+1,!0}return!1},lastIndex:0};function nj(r,e){if((0,xe.has)(r,"LINE_BREAKS"))return!1;if((0,xe.isRegExp)(r.PATTERN)){try{(0,Zg.canMatchCharCode)(e,r.PATTERN)}catch(t){return{issue:ir.LexerDefinitionErrorType.IDENTIFY_TERMINATOR,errMsg:t.message}}return!1}else{if((0,xe.isString)(r.PATTERN))return!1;if(Ov(r))return{issue:ir.LexerDefinitionErrorType.CUSTOM_LINE_BREAK};throw Error("non exhaustive match")}}function sj(r,e){if(e.issue===ir.LexerDefinitionErrorType.IDENTIFY_TERMINATOR)return`Warning: unable to identify line terminator usage in pattern.
`+(" The problem is in the <"+r.name+`> Token Type
`)+(" Root cause: "+e.errMsg+`.
`)+" For details See: https://chevrotain.io/docs/guide/resolving_lexer_errors.html#IDENTIFY_TERMINATOR";if(e.issue===ir.LexerDefinitionErrorType.CUSTOM_LINE_BREAK)return`Warning: A Custom Token Pattern should specify the <line_breaks> option.
`+(" The problem is in the <"+r.name+`> Token Type
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a boolean 2nd argument is no longer supported`);this.config=(0,nr.merge)(Qd,t);var n=this.config.traceInitPerf;n===!0?(this.traceInitMaxIdent=1/0,this.traceInitPerf=!0):typeof n=="number"&&(this.traceInitMaxIdent=n,this.traceInitPerf=!0),this.traceInitIndent=-1,this.TRACE_INIT("Lexer Constructor",function(){var s,o=!0;i.TRACE_INIT("Lexer Config handling",function(){if(i.config.lineTerminatorsPattern===Qd.lineTerminatorsPattern)i.config.lineTerminatorsPattern=_s.LineTerminatorOptimizedTester;else if(i.config.lineTerminatorCharacters===Qd.lineTerminatorCharacters)throw Error(`Error: Missing <lineTerminatorCharacters> property on the Lexer config.
For details See: https://chevrotain.io/docs/guide/resolving_lexer_errors.html#MISSING_LINE_TERM_CHARS`);if(t.safeMode&&t.ensureOptimizations)throw Error('"safeMode" and "ensureOptimizations" flags are mutually exclusive.');i.trackStartLines=/full|onlyStart/i.test(i.config.positionTracking),i.trackEndLines=/full/i.test(i.config.positionTracking),(0,nr.isArray)(e)?(s={modes:{}},s.modes[_s.DEFAULT_MODE]=(0,nr.cloneArr)(e),s[_s.DEFAULT_MODE]=_s.DEFAULT_MODE):(o=!1,s=(0,nr.cloneObj)(e))}),i.config.skipValidations===!1&&(i.TRACE_INIT("performRuntimeChecks",function(){i.lexerDefinitionErrors=i.lexerDefinitionErrors.concat((0,_s.performRuntimeChecks)(s,i.trackStartLines,i.config.lineTerminatorCharacters))}),i.TRACE_INIT("performWarningRuntimeChecks",function(){i.lexerDefinitionWarning=i.lexerDefinitionWarning.concat((0,_s.performWarningRuntimeChecks)(s,i.trackStartLines,i.config.lineTerminatorCharacters))})),s.modes=s.modes?s.modes:{},(0,nr.forEach)(s.modes,function(u,g){s.modes[g]=(0,nr.reject)(u,function(f){return(0,nr.isUndefined)(f)})});var a=(0,nr.keys)(s.modes);if((0,nr.forEach)(s.modes,function(u,g){i.TRACE_INIT("Mode: <"+g+"> processing",function(){if(i.modes.push(g),i.config.skipValidations===!1&&i.TRACE_INIT("validatePatterns",function(){i.lexerDefinitionErrors=i.lexerDefinitionErrors.concat((0,_s.validatePatterns)(u,a))}),(0,nr.isEmpty)(i.lexerDefinitionErrors)){(0,GEe.augmentTokenTypes)(u);var f;i.TRACE_INIT("analyzeTokenTypes",function(){f=(0,_s.analyzeTokenTypes)(u,{lineTerminatorCharacters:i.config.lineTerminatorCharacters,positionTracking:t.positionTracking,ensureOptimizations:t.ensureOptimizations,safeMode:t.safeMode,tracer:i.TRACE_INIT.bind(i)})}),i.patternIdxToConfig[g]=f.patternIdxToConfig,i.charCodeToPatternIdxToConfig[g]=f.charCodeToPatternIdxToConfig,i.emptyGroups=(0,nr.merge)(i.emptyGroups,f.emptyGroups),i.hasCustom=f.hasCustom||i.hasCustom,i.canModeBeOptimized[g]=f.canBeOptimized}})}),i.defaultMode=s.defaultMode,!(0,nr.isEmpty)(i.lexerDefinitionErrors)&&!i.config.deferDefinitionErrorsHandling){var l=(0,nr.map)(i.lexerDefinitionErrors,function(u){return u.message}),c=l.join(`-----------------------
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Disable the "ensureOptimizations" lexer config flag to silently ignore this and run the lexer in an un-optimized mode.
Or inspect the console log for details on how to resolve these issues.`)}),i.TRACE_INIT("clearRegExpParserCache",function(){(0,jEe.clearRegExpParserCache)()}),i.TRACE_INIT("toFastProperties",function(){(0,nr.toFastProperties)(i)})})}return r.prototype.tokenize=function(e,t){if(t===void 0&&(t=this.defaultMode),!(0,nr.isEmpty)(this.lexerDefinitionErrors)){var i=(0,nr.map)(this.lexerDefinitionErrors,function(o){return o.message}),n=i.join(`-----------------------
`);throw new Error(`Unable to Tokenize because Errors detected in definition of Lexer:
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ga=i.canModeBeOptimized[rs]&&i.config.safeMode===!1;pe&&ga?Ne=le:Ne=oe}};function fe(pr){ke.push(pr),pe=this.charCodeToPatternIdxToConfig[pr],ue=this.patternIdxToConfig[pr],F=ue.length,F=ue.length;var Ii=this.canModeBeOptimized[pr]&&this.config.safeMode===!1;pe&&Ii?Ne=le:Ne=oe}fe.call(this,t);for(var ae;j<H;){c=null;var qe=L.charCodeAt(j),ne=Ne(qe),Y=ne.length;for(n=0;n<Y;n++){ae=ne[n];var he=ae.pattern;u=null;var ie=ae.short;if(ie!==!1?qe===ie&&(c=he):ae.isCustom===!0?(D=he.exec(L,j,W,ge),D!==null?(c=D[0],D.payload!==void 0&&(u=D.payload)):c=null):(this.updateLastIndex(he,j),c=this.match(he,e,j)),c!==null){if(l=ae.longerAlt,l!==void 0){var de=l.length;for(o=0;o<de;o++){var _e=ue[l[o]],Pt=_e.pattern;if(g=null,_e.isCustom===!0?(D=Pt.exec(L,j,W,ge),D!==null?(a=D[0],D.payload!==void 0&&(g=D.payload)):a=null):(this.updateLastIndex(Pt,j),a=this.match(Pt,e,j)),a&&a.length>c.length){c=a,u=g,ae=_e;break}}}break}}if(c!==null){if(f=c.length,h=ae.group,h!==void 0&&(p=ae.tokenTypeIdx,C=this.createTokenInstance(c,j,p,ae.tokenType,A,Ae,f),this.handlePayload(C,u),h===!1?$=this.addToken(W,$,C):ge[h].push(C)),e=this.chopInput(e,f),j=j+f,Ae=this.computeNewColumn(Ae,f),re===!0&&ae.canLineTerminator===!0){var It=0,Or=void 0,ii=void 0;O.lastIndex=0;do Or=O.test(c),Or===!0&&(ii=O.lastIndex-1,It++);while(Or===!0);It!==0&&(A=A+It,Ae=f-ii,this.updateTokenEndLineColumnLocation(C,h,ii,It,A,Ae,f))}this.handleModes(ae,Be,fe,C)}else{for(var gi=j,hr=A,fi=Ae,ni=!1;!ni&&j<H;)for(B=L.charCodeAt(j),e=this.chopInput(e,1),j++,s=0;s<F;s++){var Us=ue[s],he=Us.pattern,ie=Us.short;if(ie!==!1?L.charCodeAt(j)===ie&&(ni=!0):Us.isCustom===!0?ni=he.exec(L,j,W,ge)!==null:(this.updateLastIndex(he,j),ni=he.exec(e)!==null),ni===!0)break}y=j-gi,v=this.config.errorMessageProvider.buildUnexpectedCharactersMessage(L,gi,y,hr,fi),_.push({offset:gi,line:hr,column:fi,length:y,message:v})}}return this.hasCustom||(W.length=$),{tokens:W,groups:ge,errors:_}},r.prototype.handleModes=function(e,t,i,n){if(e.pop===!0){var s=e.push;t(n),s!==void 0&&i.call(this,s)}else e.push!==void 0&&i.call(this,e.push)},r.prototype.chopInput=function(e,t){return e.substring(t)},r.prototype.updateLastIndex=function(e,t){e.lastIndex=t},r.prototype.updateTokenEndLineColumnLocation=function(e,t,i,n,s,o,a){var l,c;t!==void 0&&(l=i===a-1,c=l?-1:0,n===1&&l===!0||(e.endLine=s+c,e.endColumn=o-1+-c))},r.prototype.computeNewColumn=function(e,t){return e+t},r.prototype.createTokenInstance=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];return null},r.prototype.createOffsetOnlyToken=function(e,t,i,n){return{image:e,startOffset:t,tokenTypeIdx:i,tokenType:n}},r.prototype.createStartOnlyToken=function(e,t,i,n,s,o){return{image:e,startOffset:t,startLine:s,startColumn:o,tokenTypeIdx:i,tokenType:n}},r.prototype.createFullToken=function(e,t,i,n,s,o,a){return{image:e,startOffset:t,endOffset:t+a-1,startLine:s,endLine:s,startColumn:o,endColumn:o+a-1,tokenTypeIdx:i,tokenType:n}},r.prototype.addToken=function(e,t,i){return 666},r.prototype.addTokenUsingPush=function(e,t,i){return e.push(i),t},r.prototype.addTokenUsingMemberAccess=function(e,t,i){return e[t]=i,t++,t},r.prototype.handlePayload=function(e,t){},r.prototype.handlePayloadNoCustom=function(e,t){},r.prototype.handlePayloadWithCustom=function(e,t){t!==null&&(e.payload=t)},r.prototype.match=function(e,t,i){return null},r.prototype.matchWithTest=function(e,t,i){var n=e.test(t);return n===!0?t.substring(i,e.lastIndex):null},r.prototype.matchWithExec=function(e,t){var i=e.exec(t);return i!==null?i[0]:i},r.prototype.TRACE_INIT=function(e,t){if(this.traceInitPerf===!0){this.traceInitIndent++;var i=new Array(this.traceInitIndent+1).join(" ");this.traceInitIndent<this.traceInitMaxIdent&&console.log(i+"--> <"+e+">");var n=(0,nr.timer)(t),s=n.time,o=n.value,a=s>10?console.warn:console.log;return this.traceInitIndent<this.traceInitMaxIdent&&a(i+"<-- <"+e+"> time: "+s+"ms"),this.traceInitIndent--,o}else return t()},r.SKIPPED="This marks a skipped Token pattern, this means each token identified by it willbe consumed and then thrown into oblivion, this can be used to for example to completely ignore whitespace.",r.NA=/NOT_APPLICABLE/,r}();Cc.Lexer=JEe});var LA=w(bi=>{"use strict";Object.defineProperty(bi,"__esModule",{value:!0});bi.tokenMatcher=bi.createTokenInstance=bi.EOF=bi.createToken=bi.hasTokenLabel=bi.tokenName=bi.tokenLabel=void 0;var $s=Gt(),WEe=Bd(),Hv=_g();function zEe(r){return wj(r)?r.LABEL:r.name}bi.tokenLabel=zEe;function VEe(r){return 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n=r.call(this)||this;return n.topRule=t,n.occurrence=i,n.result={token:void 0,occurrence:void 0,isEndOfRule:void 0},n}return e.prototype.startWalking=function(){return this.walk(this.topRule),this.result},e}(zj.RestWalker);Nr.AbstractNextTerminalAfterProductionWalker=Pd;var BIe=function(r){mc(e,r);function e(){return r!==null&&r.apply(this,arguments)||this}return e.prototype.walkMany=function(t,i,n){if(t.idx===this.occurrence){var s=(0,Ut.first)(i.concat(n));this.result.isEndOfRule=s===void 0,s instanceof kt.Terminal&&(this.result.token=s.terminalType,this.result.occurrence=s.idx)}else r.prototype.walkMany.call(this,t,i,n)},e}(Pd);Nr.NextTerminalAfterManyWalker=BIe;var QIe=function(r){mc(e,r);function e(){return r!==null&&r.apply(this,arguments)||this}return e.prototype.walkManySep=function(t,i,n){if(t.idx===this.occurrence){var s=(0,Ut.first)(i.concat(n));this.result.isEndOfRule=s===void 0,s instanceof kt.Terminal&&(this.result.token=s.terminalType,this.result.occurrence=s.idx)}else 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i=[],n=0;function s(c){return c.concat((0,Ut.drop)(r,n+1))}function o(c){var u=Xj(s(c),e,t);return i.concat(u)}for(;t.length<e&&n<r.length;){var a=r[n];if(a instanceof kt.Alternative)return o(a.definition);if(a instanceof kt.NonTerminal)return o(a.definition);if(a instanceof kt.Option)i=o(a.definition);else if(a instanceof kt.RepetitionMandatory){var l=a.definition.concat([new kt.Repetition({definition:a.definition})]);return o(l)}else if(a instanceof kt.RepetitionMandatoryWithSeparator){var l=[new kt.Alternative({definition:a.definition}),new kt.Repetition({definition:[new kt.Terminal({terminalType:a.separator})].concat(a.definition)})];return o(l)}else if(a instanceof kt.RepetitionWithSeparator){var l=a.definition.concat([new kt.Repetition({definition:[new kt.Terminal({terminalType:a.separator})].concat(a.definition)})]);i=o(l)}else if(a instanceof kt.Repetition){var l=a.definition.concat([new kt.Repetition({definition:a.definition})]);i=o(l)}else{if(a instanceof 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p=0;p<f;p++){for(var C=g[p],y=C.length,B=0;B<y;B++){var v=this.LA(B+1);if(t(v,C[B])===!1)continue e}return u}}};if(s&&!i){var o=(0,sr.map)(r,function(l){return(0,sr.flatten)(l)}),a=(0,sr.reduce)(o,function(l,c,u){return(0,sr.forEach)(c,function(g){(0,sr.has)(l,g.tokenTypeIdx)||(l[g.tokenTypeIdx]=u),(0,sr.forEach)(g.categoryMatches,function(f){(0,sr.has)(l,f)||(l[f]=u)})}),l},[]);return function(){var l=this.LA(1);return a[l.tokenTypeIdx]}}else return function(){for(var l=0;l<n;l++){var c=r[l],u=c.length;e:for(var g=0;g<u;g++){for(var f=c[g],h=f.length,p=0;p<h;p++){var C=this.LA(p+1);if(t(C,f[p])===!1)continue e}return l}}}}Zt.buildAlternativesLookAheadFunc=NIe;function LIe(r,e,t){var i=(0,sr.every)(r,function(c){return c.length===1}),n=r.length;if(i&&!t){var s=(0,sr.flatten)(r);if(s.length===1&&(0,sr.isEmpty)(s[0].categoryMatches)){var o=s[0],a=o.tokenTypeIdx;return function(){return this.LA(1).tokenTypeIdx===a}}else{var l=(0,sr.reduce)(s,function(c,u,g){return 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e=[];if(er.isEmpty(r))return e;var t=er.first(r);if(t instanceof to.NonTerminal)e.push(t.referencedRule);else if(t instanceof to.Alternative||t instanceof to.Option||t instanceof to.RepetitionMandatory||t instanceof to.RepetitionMandatoryWithSeparator||t instanceof to.RepetitionWithSeparator||t instanceof to.Repetition)e=e.concat(Rd(t.definition));else if(t instanceof to.Alternation)e=er.flatten(er.map(t.definition,function(o){return Rd(o.definition)}));else if(!(t instanceof to.Terminal))throw Error("non exhaustive match");var i=(0,_v.isOptionalProd)(t),n=r.length>1;if(i&&n){var s=er.drop(r);return e.concat(Rd(s))}else return e}Vt.getFirstNoneTerminal=Rd;var tx=function(r){Zv(e,r);function e(){var t=r!==null&&r.apply(this,arguments)||this;return t.alternations=[],t}return e.prototype.visitAlternation=function(t){this.alternations.push(t)},e}($v.GAstVisitor);function Aq(r,e){var t=new tx;r.accept(t);var i=t.alternations,n=er.reduce(i,function(s,o){var 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h=t.buildEmptyRepetitionError({topLevelRule:n,repetition:a});i.push({message:h,type:No.ParserDefinitionErrorType.NO_NON_EMPTY_LOOKAHEAD,ruleName:n.name})}})}),i}Vt.validateSomeNonEmptyLookaheadPath=gq;function YIe(r,e,t,i){var n=[],s=(0,br.reduce)(r,function(a,l,c){return e.definition[c].ignoreAmbiguities===!0||(0,br.forEach)(l,function(u){var g=[c];(0,br.forEach)(r,function(f,h){c!==h&&(0,tf.containsPath)(f,u)&&e.definition[h].ignoreAmbiguities!==!0&&g.push(h)}),g.length>1&&!(0,tf.containsPath)(n,u)&&(n.push(u),a.push({alts:g,path:u}))}),a},[]),o=er.map(s,function(a){var l=(0,br.map)(a.alts,function(u){return u+1}),c=i.buildAlternationAmbiguityError({topLevelRule:t,alternation:e,ambiguityIndices:l,prefixPath:a.path});return{message:c,type:No.ParserDefinitionErrorType.AMBIGUOUS_ALTS,ruleName:t.name,occurrence:e.idx,alternatives:[a.alts]}});return o}function fq(r,e,t,i){var n=[],s=(0,br.reduce)(r,function(o,a,l){var c=(0,br.map)(a,function(u){return{idx:l,path:u}});return 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i=this;if(!this.canTokenTypeBeInsertedInRecovery(e)||(0,hs.isEmpty)(t))return!1;var n=this.LA(1),s=(0,hs.find)(t,function(o){return i.tokenMatcher(n,o)})!==void 0;return s},r.prototype.canRecoverWithSingleTokenDeletion=function(e){var t=this.tokenMatcher(this.LA(2),e);return t},r.prototype.isInCurrentRuleReSyncSet=function(e){var t=this.getCurrFollowKey(),i=this.getFollowSetFromFollowKey(t);return(0,hs.contains)(i,e)},r.prototype.findReSyncTokenType=function(){for(var e=this.flattenFollowSet(),t=this.LA(1),i=2;;){var n=t.tokenType;if((0,hs.contains)(e,n))return n;t=this.LA(i),i++}},r.prototype.getCurrFollowKey=function(){if(this.RULE_STACK.length===1)return Ui.EOF_FOLLOW_KEY;var e=this.getLastExplicitRuleShortName(),t=this.getLastExplicitRuleOccurrenceIndex(),i=this.getPreviousExplicitRuleShortName();return{ruleName:this.shortRuleNameToFullName(e),idxInCallingRule:t,inRule:this.shortRuleNameToFullName(i)}},r.prototype.buildFullFollowKeyStack=function(){var e=this,t=this.RULE_STACK,i=this.RULE_OCCURRENCE_STACK;return(0,hs.map)(t,function(n,s){return s===0?Ui.EOF_FOLLOW_KEY:{ruleName:e.shortRuleNameToFullName(n),idxInCallingRule:i[s],inRule:e.shortRuleNameToFullName(t[s-1])}})},r.prototype.flattenFollowSet=function(){var e=this,t=(0,hs.map)(this.buildFullFollowKeyStack(),function(i){return e.getFollowSetFromFollowKey(i)});return(0,hs.flatten)(t)},r.prototype.getFollowSetFromFollowKey=function(e){if(e===Ui.EOF_FOLLOW_KEY)return[dy.EOF];var t=e.ruleName+e.idxInCallingRule+rye.IN+e.inRule;return this.resyncFollows[t]},r.prototype.addToResyncTokens=function(e,t){return this.tokenMatcher(e,dy.EOF)||t.push(e),t},r.prototype.reSyncTo=function(e){for(var t=[],i=this.LA(1);this.tokenMatcher(i,e)===!1;)i=this.SKIP_TOKEN(),this.addToResyncTokens(i,t);return(0,hs.dropRight)(t)},r.prototype.attemptInRepetitionRecovery=function(e,t,i,n,s,o,a){},r.prototype.getCurrentGrammarPath=function(e,t){var i=this.getHumanReadableRuleStack(),n=(0,hs.cloneArr)(this.RULE_OCCURRENCE_STACK),s={ruleStack:i,occurrenceStack:n,lastTok:e,lastTokOccurrence:t};return s},r.prototype.getHumanReadableRuleStack=function(){var e=this;return(0,hs.map)(this.RULE_STACK,function(t){return e.shortRuleNameToFullName(t)})},r}();Ui.Recoverable=nye;function yq(r,e,t,i,n,s,o){var a=this.getKeyForAutomaticLookahead(i,n),l=this.firstAfterRepMap[a];if(l===void 0){var c=this.getCurrRuleFullName(),u=this.getGAstProductions()[c],g=new s(u,n);l=g.startWalking(),this.firstAfterRepMap[a]=l}var f=l.token,h=l.occurrence,p=l.isEndOfRule;this.RULE_STACK.length===1&&p&&f===void 0&&(f=dy.EOF,h=1),this.shouldInRepetitionRecoveryBeTried(f,h,o)&&this.tryInRepetitionRecovery(r,e,t,f)}Ui.attemptInRepetitionRecovery=yq});var Cy=w(Jt=>{"use 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0&&(i=Ax.DEFAULT_RULE_CONFIG),(0,Tq.contains)(this.definedRulesNames,e)){var n=yye.defaultGrammarValidatorErrorProvider.buildDuplicateRuleNameError({topLevelRule:e,grammarName:this.className}),s={message:n,type:Ax.ParserDefinitionErrorType.DUPLICATE_RULE_NAME,ruleName:e};this.definitionErrors.push(s)}this.definedRulesNames.push(e);var o=this.defineRule(e,t,i);return this[e]=o,o},r.prototype.OVERRIDE_RULE=function(e,t,i){i===void 0&&(i=Ax.DEFAULT_RULE_CONFIG);var n=[];n=n.concat((0,wye.validateRuleIsOverridden)(e,this.definedRulesNames,this.className)),this.definitionErrors=this.definitionErrors.concat(n);var s=this.defineRule(e,t,i);return this[e]=s,s},r.prototype.BACKTRACK=function(e,t){return function(){this.isBackTrackingStack.push(1);var i=this.saveRecogState();try{return e.apply(this,t),!0}catch(n){if((0,Iye.isRecognitionException)(n))return!1;throw n}finally{this.reloadRecogState(i),this.isBackTrackingStack.pop()}}},r.prototype.getGAstProductions=function(){return this.gastProductionsCache},r.prototype.getSerializedGastProductions=function(){return(0,Bye.serializeGrammar)((0,Tq.values)(this.gastProductionsCache))},r}();yy.RecognizerApi=Qye});var Hq=w(By=>{"use strict";Object.defineProperty(By,"__esModule",{value:!0});By.RecognizerEngine=void 0;var Pr=Gt(),jn=Cy(),wy=nf(),Mq=kd(),of=Dd(),Uq=Yn(),bye=sx(),Kq=LA(),Ld=_g(),Sye=ox(),vye=function(){function r(){}return r.prototype.initRecognizerEngine=function(e,t){if(this.className=(0,Sye.classNameFromInstance)(this),this.shortRuleNameToFull={},this.fullRuleNameToShort={},this.ruleShortNameIdx=256,this.tokenMatcher=Ld.tokenStructuredMatcherNoCategories,this.definedRulesNames=[],this.tokensMap={},this.isBackTrackingStack=[],this.RULE_STACK=[],this.RULE_OCCURRENCE_STACK=[],this.gastProductionsCache={},(0,Pr.has)(t,"serializedGrammar"))throw Error(`The Parser's configuration can no longer contain a <serializedGrammar> property.
See: https://chevrotain.io/docs/changes/BREAKING_CHANGES.html#_6-0-0
For Further details.`);if((0,Pr.isArray)(e)){if((0,Pr.isEmpty)(e))throw Error(`A Token Vocabulary cannot be empty.
Note that the first argument for the parser constructor
is no longer a Token vector (since v4.0).`);if(typeof e[0].startOffset=="number")throw Error(`The Parser constructor no longer accepts a token vector as the first argument.
See: https://chevrotain.io/docs/changes/BREAKING_CHANGES.html#_4-0-0
For Further details.`)}if((0,Pr.isArray)(e))this.tokensMap=(0,Pr.reduce)(e,function(o,a){return o[a.name]=a,o},{});else if((0,Pr.has)(e,"modes")&&(0,Pr.every)((0,Pr.flatten)((0,Pr.values)(e.modes)),Ld.isTokenType)){var i=(0,Pr.flatten)((0,Pr.values)(e.modes)),n=(0,Pr.uniq)(i);this.tokensMap=(0,Pr.reduce)(n,function(o,a){return o[a.name]=a,o},{})}else if((0,Pr.isObject)(e))this.tokensMap=(0,Pr.cloneObj)(e);else throw new Error("<tokensDictionary> argument must be An Array of Token constructors, A dictionary of Token constructors or an IMultiModeLexerDefinition");this.tokensMap.EOF=Kq.EOF;var s=(0,Pr.every)((0,Pr.values)(e),function(o){return(0,Pr.isEmpty)(o.categoryMatches)});this.tokenMatcher=s?Ld.tokenStructuredMatcherNoCategories:Ld.tokenStructuredMatcher,(0,Ld.augmentTokenTypes)((0,Pr.values)(this.tokensMap))},r.prototype.defineRule=function(e,t,i){if(this.selfAnalysisDone)throw Error("Grammar rule <"+e+`> may not be defined after the 'performSelfAnalysis' method has been called'
Make sure that all grammar rule definitions are done before 'performSelfAnalysis' is called.`);var n=(0,Pr.has)(i,"resyncEnabled")?i.resyncEnabled:Uq.DEFAULT_RULE_CONFIG.resyncEnabled,s=(0,Pr.has)(i,"recoveryValueFunc")?i.recoveryValueFunc:Uq.DEFAULT_RULE_CONFIG.recoveryValueFunc,o=this.ruleShortNameIdx<<jn.BITS_FOR_METHOD_TYPE+jn.BITS_FOR_OCCURRENCE_IDX;this.ruleShortNameIdx++,this.shortRuleNameToFull[o]=e,this.fullRuleNameToShort[e]=o;function a(u){try{if(this.outputCst===!0){t.apply(this,u);var g=this.CST_STACK[this.CST_STACK.length-1];return this.cstPostRule(g),g}else return t.apply(this,u)}catch(f){return this.invokeRuleCatch(f,n,s)}finally{this.ruleFinallyStateUpdate()}}var l=function(u,g){return u===void 0&&(u=0),this.ruleInvocationStateUpdate(o,e,u),a.call(this,g)},c="ruleName";return l[c]=e,l.originalGrammarAction=t,l},r.prototype.invokeRuleCatch=function(e,t,i){var n=this.RULE_STACK.length===1,s=t&&!this.isBackTracking()&&this.recoveryEnabled;if((0,wy.isRecognitionException)(e)){var o=e;if(s){var a=this.findReSyncTokenType();if(this.isInCurrentRuleReSyncSet(a))if(o.resyncedTokens=this.reSyncTo(a),this.outputCst){var l=this.CST_STACK[this.CST_STACK.length-1];return l.recoveredNode=!0,l}else return i();else{if(this.outputCst){var l=this.CST_STACK[this.CST_STACK.length-1];l.recoveredNode=!0,o.partialCstResult=l}throw o}}else{if(n)return this.moveToTerminatedState(),i();throw o}}else throw e},r.prototype.optionInternal=function(e,t){var i=this.getKeyForAutomaticLookahead(jn.OPTION_IDX,t);return this.optionInternalLogic(e,t,i)},r.prototype.optionInternalLogic=function(e,t,i){var n=this,s=this.getLaFuncFromCache(i),o,a;if(e.DEF!==void 0){if(o=e.DEF,a=e.GATE,a!==void 0){var l=s;s=function(){return a.call(n)&&l.call(n)}}}else o=e;if(s.call(this)===!0)return o.call(this)},r.prototype.atLeastOneInternal=function(e,t){var i=this.getKeyForAutomaticLookahead(jn.AT_LEAST_ONE_IDX,e);return this.atLeastOneInternalLogic(e,t,i)},r.prototype.atLeastOneInternalLogic=function(e,t,i){var n=this,s=this.getLaFuncFromCache(i),o,a;if(t.DEF!==void 0){if(o=t.DEF,a=t.GATE,a!==void 0){var l=s;s=function(){return a.call(n)&&l.call(n)}}}else o=t;if(s.call(this)===!0)for(var c=this.doSingleRepetition(o);s.call(this)===!0&&c===!0;)c=this.doSingleRepetition(o);else throw this.raiseEarlyExitException(e,Mq.PROD_TYPE.REPETITION_MANDATORY,t.ERR_MSG);this.attemptInRepetitionRecovery(this.atLeastOneInternal,[e,t],s,jn.AT_LEAST_ONE_IDX,e,of.NextTerminalAfterAtLeastOneWalker)},r.prototype.atLeastOneSepFirstInternal=function(e,t){var i=this.getKeyForAutomaticLookahead(jn.AT_LEAST_ONE_SEP_IDX,e);this.atLeastOneSepFirstInternalLogic(e,t,i)},r.prototype.atLeastOneSepFirstInternalLogic=function(e,t,i){var n=this,s=t.DEF,o=t.SEP,a=this.getLaFuncFromCache(i);if(a.call(this)===!0){s.call(this);for(var l=function(){return n.tokenMatcher(n.LA(1),o)};this.tokenMatcher(this.LA(1),o)===!0;)this.CONSUME(o),s.call(this);this.attemptInRepetitionRecovery(this.repetitionSepSecondInternal,[e,o,l,s,of.NextTerminalAfterAtLeastOneSepWalker],l,jn.AT_LEAST_ONE_SEP_IDX,e,of.NextTerminalAfterAtLeastOneSepWalker)}else throw this.raiseEarlyExitException(e,Mq.PROD_TYPE.REPETITION_MANDATORY_WITH_SEPARATOR,t.ERR_MSG)},r.prototype.manyInternal=function(e,t){var i=this.getKeyForAutomaticLookahead(jn.MANY_IDX,e);return this.manyInternalLogic(e,t,i)},r.prototype.manyInternalLogic=function(e,t,i){var n=this,s=this.getLaFuncFromCache(i),o,a;if(t.DEF!==void 0){if(o=t.DEF,a=t.GATE,a!==void 0){var l=s;s=function(){return a.call(n)&&l.call(n)}}}else o=t;for(var c=!0;s.call(this)===!0&&c===!0;)c=this.doSingleRepetition(o);this.attemptInRepetitionRecovery(this.manyInternal,[e,t],s,jn.MANY_IDX,e,of.NextTerminalAfterManyWalker,c)},r.prototype.manySepFirstInternal=function(e,t){var i=this.getKeyForAutomaticLookahead(jn.MANY_SEP_IDX,e);this.manySepFirstInternalLogic(e,t,i)},r.prototype.manySepFirstInternalLogic=function(e,t,i){var n=this,s=t.DEF,o=t.SEP,a=this.getLaFuncFromCache(i);if(a.call(this)===!0){s.call(this);for(var l=function(){return n.tokenMatcher(n.LA(1),o)};this.tokenMatcher(this.LA(1),o)===!0;)this.CONSUME(o),s.call(this);this.attemptInRepetitionRecovery(this.repetitionSepSecondInternal,[e,o,l,s,of.NextTerminalAfterManySepWalker],l,jn.MANY_SEP_IDX,e,of.NextTerminalAfterManySepWalker)}},r.prototype.repetitionSepSecondInternal=function(e,t,i,n,s){for(;i();)this.CONSUME(t),n.call(this);this.attemptInRepetitionRecovery(this.repetitionSepSecondInternal,[e,t,i,n,s],i,jn.AT_LEAST_ONE_SEP_IDX,e,s)},r.prototype.doSingleRepetition=function(e){var t=this.getLexerPosition();e.call(this);var i=this.getLexerPosition();return i>t},r.prototype.orInternal=function(e,t){var i=this.getKeyForAutomaticLookahead(jn.OR_IDX,t),n=(0,Pr.isArray)(e)?e:e.DEF,s=this.getLaFuncFromCache(i),o=s.call(this,n);if(o!==void 0){var a=n[o];return a.ALT.call(this)}this.raiseNoAltException(t,e.ERR_MSG)},r.prototype.ruleFinallyStateUpdate=function(){if(this.RULE_STACK.pop(),this.RULE_OCCURRENCE_STACK.pop(),this.cstFinallyStateUpdate(),this.RULE_STACK.length===0&&this.isAtEndOfInput()===!1){var e=this.LA(1),t=this.errorMessageProvider.buildNotAllInputParsedMessage({firstRedundant:e,ruleName:this.getCurrRuleFullName()});this.SAVE_ERROR(new wy.NotAllInputParsedException(t,e))}},r.prototype.subruleInternal=function(e,t,i){var n;try{var s=i!==void 0?i.ARGS:void 0;return n=e.call(this,t,s),this.cstPostNonTerminal(n,i!==void 0&&i.LABEL!==void 0?i.LABEL:e.ruleName),n}catch(o){this.subruleInternalError(o,i,e.ruleName)}},r.prototype.subruleInternalError=function(e,t,i){throw(0,wy.isRecognitionException)(e)&&e.partialCstResult!==void 0&&(this.cstPostNonTerminal(e.partialCstResult,t!==void 0&&t.LABEL!==void 0?t.LABEL:i),delete e.partialCstResult),e},r.prototype.consumeInternal=function(e,t,i){var n;try{var s=this.LA(1);this.tokenMatcher(s,e)===!0?(this.consumeToken(),n=s):this.consumeInternalError(e,s,i)}catch(o){n=this.consumeInternalRecovery(e,t,o)}return this.cstPostTerminal(i!==void 0&&i.LABEL!==void 0?i.LABEL:e.name,n),n},r.prototype.consumeInternalError=function(e,t,i){var n,s=this.LA(0);throw i!==void 0&&i.ERR_MSG?n=i.ERR_MSG:n=this.errorMessageProvider.buildMismatchTokenMessage({expected:e,actual:t,previous:s,ruleName:this.getCurrRuleFullName()}),this.SAVE_ERROR(new wy.MismatchedTokenException(n,t,s))},r.prototype.consumeInternalRecovery=function(e,t,i){if(this.recoveryEnabled&&i.name==="MismatchedTokenException"&&!this.isBackTracking()){var n=this.getFollowsForInRuleRecovery(e,t);try{return this.tryInRuleRecovery(e,n)}catch(s){throw s.name===bye.IN_RULE_RECOVERY_EXCEPTION?i:s}}else throw i},r.prototype.saveRecogState=function(){var e=this.errors,t=(0,Pr.cloneArr)(this.RULE_STACK);return{errors:e,lexerState:this.exportLexerState(),RULE_STACK:t,CST_STACK:this.CST_STACK}},r.prototype.reloadRecogState=function(e){this.errors=e.errors,this.importLexerState(e.lexerState),this.RULE_STACK=e.RULE_STACK},r.prototype.ruleInvocationStateUpdate=function(e,t,i){this.RULE_OCCURRENCE_STACK.push(i),this.RULE_STACK.push(e),this.cstInvocationStateUpdate(t,e)},r.prototype.isBackTracking=function(){return this.isBackTrackingStack.length!==0},r.prototype.getCurrRuleFullName=function(){var e=this.getLastExplicitRuleShortName();return this.shortRuleNameToFull[e]},r.prototype.shortRuleNameToFullName=function(e){return this.shortRuleNameToFull[e]},r.prototype.isAtEndOfInput=function(){return this.tokenMatcher(this.LA(1),Kq.EOF)},r.prototype.reset=function(){this.resetLexerState(),this.isBackTrackingStack=[],this.errors=[],this.RULE_STACK=[],this.CST_STACK=[],this.RULE_OCCURRENCE_STACK=[]},r}();By.RecognizerEngine=vye});var Yq=w(Qy=>{"use strict";Object.defineProperty(Qy,"__esModule",{value:!0});Qy.ErrorHandler=void 0;var lx=nf(),cx=Gt(),Gq=kd(),xye=Yn(),Pye=function(){function r(){}return r.prototype.initErrorHandler=function(e){this._errors=[],this.errorMessageProvider=(0,cx.has)(e,"errorMessageProvider")?e.errorMessageProvider:xye.DEFAULT_PARSER_CONFIG.errorMessageProvider},r.prototype.SAVE_ERROR=function(e){if((0,lx.isRecognitionException)(e))return e.context={ruleStack:this.getHumanReadableRuleStack(),ruleOccurrenceStack:(0,cx.cloneArr)(this.RULE_OCCURRENCE_STACK)},this._errors.push(e),e;throw Error("Trying to save an Error which is not a RecognitionException")},Object.defineProperty(r.prototype,"errors",{get:function(){return(0,cx.cloneArr)(this._errors)},set:function(e){this._errors=e},enumerable:!1,configurable:!0}),r.prototype.raiseEarlyExitException=function(e,t,i){for(var n=this.getCurrRuleFullName(),s=this.getGAstProductions()[n],o=(0,Gq.getLookaheadPathsForOptionalProd)(e,s,t,this.maxLookahead),a=o[0],l=[],c=1;c<=this.maxLookahead;c++)l.push(this.LA(c));var u=this.errorMessageProvider.buildEarlyExitMessage({expectedIterationPaths:a,actual:l,previous:this.LA(0),customUserDescription:i,ruleName:n});throw this.SAVE_ERROR(new lx.EarlyExitException(u,this.LA(1),this.LA(0)))},r.prototype.raiseNoAltException=function(e,t){for(var i=this.getCurrRuleFullName(),n=this.getGAstProductions()[i],s=(0,Gq.getLookaheadPathsForOr)(e,n,this.maxLookahead),o=[],a=1;a<=this.maxLookahead;a++)o.push(this.LA(a));var l=this.LA(0),c=this.errorMessageProvider.buildNoViableAltMessage({expectedPathsPerAlt:s,actual:o,previous:l,customUserDescription:t,ruleName:this.getCurrRuleFullName()});throw this.SAVE_ERROR(new lx.NoViableAltException(c,this.LA(1),l))},r}();Qy.ErrorHandler=Pye});var Jq=w(by=>{"use strict";Object.defineProperty(by,"__esModule",{value:!0});by.ContentAssist=void 0;var jq=Dd(),qq=Gt(),Dye=function(){function r(){}return r.prototype.initContentAssist=function(){},r.prototype.computeContentAssist=function(e,t){var i=this.gastProductionsCache[e];if((0,qq.isUndefined)(i))throw Error("Rule ->"+e+"<- does not exist in this grammar.");return(0,jq.nextPossibleTokensAfter)([i],t,this.tokenMatcher,this.maxLookahead)},r.prototype.getNextPossibleTokenTypes=function(e){var t=(0,qq.first)(e.ruleStack),i=this.getGAstProductions(),n=i[t],s=new jq.NextAfterTokenWalker(n,e).startWalking();return s},r}();by.ContentAssist=Dye});var eJ=w(xy=>{"use strict";Object.defineProperty(xy,"__esModule",{value:!0});xy.GastRecorder=void 0;var In=Gt(),To=Cn(),kye=Bd(),Xq=_g(),Zq=LA(),Rye=Yn(),Fye=Cy(),vy={description:"This Object indicates the Parser is during Recording Phase"};Object.freeze(vy);var Wq=!0,zq=Math.pow(2,Fye.BITS_FOR_OCCURRENCE_IDX)-1,_q=(0,Zq.createToken)({name:"RECORDING_PHASE_TOKEN",pattern:kye.Lexer.NA});(0,Xq.augmentTokenTypes)([_q]);var $q=(0,Zq.createTokenInstance)(_q,`This IToken indicates the Parser is in Recording Phase
See: https://chevrotain.io/docs/guide/internals.html#grammar-recording for details`,-1,-1,-1,-1,-1,-1);Object.freeze($q);var Nye={name:`This CSTNode indicates the Parser is in Recording Phase
See: https://chevrotain.io/docs/guide/internals.html#grammar-recording for details`,children:{}},Lye=function(){function r(){}return r.prototype.initGastRecorder=function(e){this.recordingProdStack=[],this.RECORDING_PHASE=!1},r.prototype.enableRecording=function(){var e=this;this.RECORDING_PHASE=!0,this.TRACE_INIT("Enable Recording",function(){for(var t=function(n){var s=n>0?n:"";e["CONSUME"+s]=function(o,a){return this.consumeInternalRecord(o,n,a)},e["SUBRULE"+s]=function(o,a){return this.subruleInternalRecord(o,n,a)},e["OPTION"+s]=function(o){return this.optionInternalRecord(o,n)},e["OR"+s]=function(o){return this.orInternalRecord(o,n)},e["MANY"+s]=function(o){this.manyInternalRecord(n,o)},e["MANY_SEP"+s]=function(o){this.manySepFirstInternalRecord(n,o)},e["AT_LEAST_ONE"+s]=function(o){this.atLeastOneInternalRecord(n,o)},e["AT_LEAST_ONE_SEP"+s]=function(o){this.atLeastOneSepFirstInternalRecord(n,o)}},i=0;i<10;i++)t(i);e.consume=function(n,s,o){return this.consumeInternalRecord(s,n,o)},e.subrule=function(n,s,o){return this.subruleInternalRecord(s,n,o)},e.option=function(n,s){return this.optionInternalRecord(s,n)},e.or=function(n,s){return this.orInternalRecord(s,n)},e.many=function(n,s){this.manyInternalRecord(n,s)},e.atLeastOne=function(n,s){this.atLeastOneInternalRecord(n,s)},e.ACTION=e.ACTION_RECORD,e.BACKTRACK=e.BACKTRACK_RECORD,e.LA=e.LA_RECORD})},r.prototype.disableRecording=function(){var e=this;this.RECORDING_PHASE=!1,this.TRACE_INIT("Deleting Recording methods",function(){for(var t=0;t<10;t++){var i=t>0?t:"";delete e["CONSUME"+i],delete e["SUBRULE"+i],delete e["OPTION"+i],delete e["OR"+i],delete e["MANY"+i],delete e["MANY_SEP"+i],delete e["AT_LEAST_ONE"+i],delete e["AT_LEAST_ONE_SEP"+i]}delete e.consume,delete e.subrule,delete e.option,delete e.or,delete e.many,delete e.atLeastOne,delete e.ACTION,delete e.BACKTRACK,delete e.LA})},r.prototype.ACTION_RECORD=function(e){},r.prototype.BACKTRACK_RECORD=function(e,t){return function(){return!0}},r.prototype.LA_RECORD=function(e){return Rye.END_OF_FILE},r.prototype.topLevelRuleRecord=function(e,t){try{var i=new To.Rule({definition:[],name:e});return i.name=e,this.recordingProdStack.push(i),t.call(this),this.recordingProdStack.pop(),i}catch(n){if(n.KNOWN_RECORDER_ERROR!==!0)try{n.message=n.message+`
This error was thrown during the "grammar recording phase" For more info see:
https://chevrotain.io/docs/guide/internals.html#grammar-recording`}catch{throw n}throw n}},r.prototype.optionInternalRecord=function(e,t){return Td.call(this,To.Option,e,t)},r.prototype.atLeastOneInternalRecord=function(e,t){Td.call(this,To.RepetitionMandatory,t,e)},r.prototype.atLeastOneSepFirstInternalRecord=function(e,t){Td.call(this,To.RepetitionMandatoryWithSeparator,t,e,Wq)},r.prototype.manyInternalRecord=function(e,t){Td.call(this,To.Repetition,t,e)},r.prototype.manySepFirstInternalRecord=function(e,t){Td.call(this,To.RepetitionWithSeparator,t,e,Wq)},r.prototype.orInternalRecord=function(e,t){return Tye.call(this,e,t)},r.prototype.subruleInternalRecord=function(e,t,i){if(Sy(t),!e||(0,In.has)(e,"ruleName")===!1){var n=new Error("<SUBRULE"+Vq(t)+"> argument is invalid"+(" expecting a Parser method reference but got: <"+JSON.stringify(e)+">")+(`
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<link rel='stylesheet' href='`+o+`'>
`,c=`
<script src='`+n+`vendor/railroad-diagrams.js'><\/script>
<script src='`+n+`src/diagrams_builder.js'><\/script>
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gx=w((qet,IJ)=>{var Md=mJ(),EJ={};for(let r of Object.keys(Md))EJ[Md[r]]=r;var st={rgb:{channels:3,labels:"rgb"},hsl:{channels:3,labels:"hsl"},hsv:{channels:3,labels:"hsv"},hwb:{channels:3,labels:"hwb"},cmyk:{channels:4,labels:"cmyk"},xyz:{channels:3,labels:"xyz"},lab:{channels:3,labels:"lab"},lch:{channels:3,labels:"lch"},hex:{channels:1,labels:["hex"]},keyword:{channels:1,labels:["keyword"]},ansi16:{channels:1,labels:["ansi16"]},ansi256:{channels:1,labels:["ansi256"]},hcg:{channels:3,labels:["h","c","g"]},apple:{channels:3,labels:["r16","g16","b16"]},gray:{channels:1,labels:["gray"]}};IJ.exports=st;for(let r of Object.keys(st)){if(!("channels"in st[r]))throw new Error("missing channels property: "+r);if(!("labels"in st[r]))throw new Error("missing channel labels property: "+r);if(st[r].labels.length!==st[r].channels)throw new Error("channel and label counts mismatch: "+r);let{channels:e,labels:t}=st[r];delete st[r].channels,delete 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e=r[0]/255,t=r[1]/255,i=r[2]/255,n=Math.min(1-e,1-t,1-i),s=(1-e-n)/(1-n)||0,o=(1-t-n)/(1-n)||0,a=(1-i-n)/(1-n)||0;return[s*100,o*100,a*100,n*100]};function gwe(r,e){return(r[0]-e[0])**2+(r[1]-e[1])**2+(r[2]-e[2])**2}st.rgb.keyword=function(r){let e=EJ[r];if(e)return e;let t=1/0,i;for(let n of Object.keys(Md)){let s=Md[n],o=gwe(r,s);o<t&&(t=o,i=n)}return i};st.keyword.rgb=function(r){return Md[r]};st.rgb.xyz=function(r){let e=r[0]/255,t=r[1]/255,i=r[2]/255;e=e>.04045?((e+.055)/1.055)**2.4:e/12.92,t=t>.04045?((t+.055)/1.055)**2.4:t/12.92,i=i>.04045?((i+.055)/1.055)**2.4:i/12.92;let n=e*.4124+t*.3576+i*.1805,s=e*.2126+t*.7152+i*.0722,o=e*.0193+t*.1192+i*.9505;return[n*100,s*100,o*100]};st.rgb.lab=function(r){let e=st.rgb.xyz(r),t=e[0],i=e[1],n=e[2];t/=95.047,i/=100,n/=108.883,t=t>.008856?t**(1/3):7.787*t+16/116,i=i>.008856?i**(1/3):7.787*i+16/116,n=n>.008856?n**(1/3):7.787*n+16/116;let s=116*i-16,o=500*(t-i),a=200*(i-n);return[s,o,a]};st.hsl.rgb=function(r){let e=r[0]/360,t=r[1]/100,i=r[2]/100,n,s,o;if(t===0)return o=i*255,[o,o,o];i<.5?n=i*(1+t):n=i+t-i*t;let a=2*i-n,l=[0,0,0];for(let c=0;c<3;c++)s=e+1/3*-(c-1),s<0&&s++,s>1&&s--,6*s<1?o=a+(n-a)*6*s:2*s<1?o=n:3*s<2?o=a+(n-a)*(2/3-s)*6:o=a,l[c]=o*255;return l};st.hsl.hsv=function(r){let e=r[0],t=r[1]/100,i=r[2]/100,n=t,s=Math.max(i,.01);i*=2,t*=i<=1?i:2-i,n*=s<=1?s:2-s;let o=(i+t)/2,a=i===0?2*n/(s+n):2*t/(i+t);return[e,a*100,o*100]};st.hsv.rgb=function(r){let e=r[0]/60,t=r[1]/100,i=r[2]/100,n=Math.floor(e)%6,s=e-Math.floor(e),o=255*i*(1-t),a=255*i*(1-t*s),l=255*i*(1-t*(1-s));switch(i*=255,n){case 0:return[i,l,o];case 1:return[a,i,o];case 2:return[o,i,l];case 3:return[o,a,i];case 4:return[l,o,i];case 5:return[i,o,a]}};st.hsv.hsl=function(r){let e=r[0],t=r[1]/100,i=r[2]/100,n=Math.max(i,.01),s,o;o=(2-t)*i;let a=(2-t)*n;return s=t*n,s/=a<=1?a:2-a,s=s||0,o/=2,[e,s*100,o*100]};st.hwb.rgb=function(r){let e=r[0]/360,t=r[1]/100,i=r[2]/100,n=t+i,s;n>1&&(t/=n,i/=n);let o=Math.floor(6*e),a=1-i;s=6*e-o,(o&1)!==0&&(s=1-s);let l=t+s*(a-t),c,u,g;switch(o){default:case 6:case 0:c=a,u=l,g=t;break;case 1:c=l,u=a,g=t;break;case 2:c=t,u=a,g=l;break;case 3:c=t,u=l,g=a;break;case 4:c=l,u=t,g=a;break;case 5:c=a,u=t,g=l;break}return[c*255,u*255,g*255]};st.cmyk.rgb=function(r){let e=r[0]/100,t=r[1]/100,i=r[2]/100,n=r[3]/100,s=1-Math.min(1,e*(1-n)+n),o=1-Math.min(1,t*(1-n)+n),a=1-Math.min(1,i*(1-n)+n);return[s*255,o*255,a*255]};st.xyz.rgb=function(r){let e=r[0]/100,t=r[1]/100,i=r[2]/100,n,s,o;return n=e*3.2406+t*-1.5372+i*-.4986,s=e*-.9689+t*1.8758+i*.0415,o=e*.0557+t*-.204+i*1.057,n=n>.0031308?1.055*n**(1/2.4)-.055:n*12.92,s=s>.0031308?1.055*s**(1/2.4)-.055:s*12.92,o=o>.0031308?1.055*o**(1/2.4)-.055:o*12.92,n=Math.min(Math.max(0,n),1),s=Math.min(Math.max(0,s),1),o=Math.min(Math.max(0,o),1),[n*255,s*255,o*255]};st.xyz.lab=function(r){let e=r[0],t=r[1],i=r[2];e/=95.047,t/=100,i/=108.883,e=e>.008856?e**(1/3):7.787*e+16/116,t=t>.008856?t**(1/3):7.787*t+16/116,i=i>.008856?i**(1/3):7.787*i+16/116;let n=116*t-16,s=500*(e-t),o=200*(t-i);return[n,s,o]};st.lab.xyz=function(r){let e=r[0],t=r[1],i=r[2],n,s,o;s=(e+16)/116,n=t/500+s,o=s-i/200;let a=s**3,l=n**3,c=o**3;return s=a>.008856?a:(s-16/116)/7.787,n=l>.008856?l:(n-16/116)/7.787,o=c>.008856?c:(o-16/116)/7.787,n*=95.047,s*=100,o*=108.883,[n,s,o]};st.lab.lch=function(r){let e=r[0],t=r[1],i=r[2],n;n=Math.atan2(i,t)*360/2/Math.PI,n<0&&(n+=360);let o=Math.sqrt(t*t+i*i);return[e,o,n]};st.lch.lab=function(r){let e=r[0],t=r[1],n=r[2]/360*2*Math.PI,s=t*Math.cos(n),o=t*Math.sin(n);return[e,s,o]};st.rgb.ansi16=function(r,e=null){let[t,i,n]=r,s=e===null?st.rgb.hsv(r)[2]:e;if(s=Math.round(s/50),s===0)return 30;let o=30+(Math.round(n/255)<<2|Math.round(i/255)<<1|Math.round(t/255));return s===2&&(o+=60),o};st.hsv.ansi16=function(r){return st.rgb.ansi16(st.hsv.rgb(r),r[2])};st.rgb.ansi256=function(r){let e=r[0],t=r[1],i=r[2];return e===t&&t===i?e<8?16:e>248?231:Math.round((e-8)/247*24)+232:16+36*Math.round(e/255*5)+6*Math.round(t/255*5)+Math.round(i/255*5)};st.ansi16.rgb=function(r){let e=r%10;if(e===0||e===7)return r>50&&(e+=3.5),e=e/10.5*255,[e,e,e];let t=(~~(r>50)+1)*.5,i=(e&1)*t*255,n=(e>>1&1)*t*255,s=(e>>2&1)*t*255;return[i,n,s]};st.ansi256.rgb=function(r){if(r>=232){let s=(r-232)*10+8;return[s,s,s]}r-=16;let e,t=Math.floor(r/36)/5*255,i=Math.floor((e=r%36)/6)/5*255,n=e%6/5*255;return[t,i,n]};st.rgb.hex=function(r){let t=(((Math.round(r[0])&255)<<16)+((Math.round(r[1])&255)<<8)+(Math.round(r[2])&255)).toString(16).toUpperCase();return"000000".substring(t.length)+t};st.hex.rgb=function(r){let e=r.toString(16).match(/[a-f0-9]{6}|[a-f0-9]{3}/i);if(!e)return[0,0,0];let t=e[0];e[0].length===3&&(t=t.split("").map(a=>a+a).join(""));let i=parseInt(t,16),n=i>>16&255,s=i>>8&255,o=i&255;return[n,s,o]};st.rgb.hcg=function(r){let e=r[0]/255,t=r[1]/255,i=r[2]/255,n=Math.max(Math.max(e,t),i),s=Math.min(Math.min(e,t),i),o=n-s,a,l;return o<1?a=s/(1-o):a=0,o<=0?l=0:n===e?l=(t-i)/o%6:n===t?l=2+(i-e)/o:l=4+(e-t)/o,l/=6,l%=1,[l*360,o*100,a*100]};st.hsl.hcg=function(r){let e=r[1]/100,t=r[2]/100,i=t<.5?2*e*t:2*e*(1-t),n=0;return i<1&&(n=(t-.5*i)/(1-i)),[r[0],i*100,n*100]};st.hsv.hcg=function(r){let e=r[1]/100,t=r[2]/100,i=e*t,n=0;return i<1&&(n=(t-i)/(1-i)),[r[0],i*100,n*100]};st.hcg.rgb=function(r){let e=r[0]/360,t=r[1]/100,i=r[2]/100;if(t===0)return[i*255,i*255,i*255];let n=[0,0,0],s=e%1*6,o=s%1,a=1-o,l=0;switch(Math.floor(s)){case 0:n[0]=1,n[1]=o,n[2]=0;break;case 1:n[0]=a,n[1]=1,n[2]=0;break;case 2:n[0]=0,n[1]=1,n[2]=o;break;case 3:n[0]=0,n[1]=a,n[2]=1;break;case 4:n[0]=o,n[1]=0,n[2]=1;break;default:n[0]=1,n[1]=0,n[2]=a}return l=(1-t)*i,[(t*n[0]+l)*255,(t*n[1]+l)*255,(t*n[2]+l)*255]};st.hcg.hsv=function(r){let e=r[1]/100,t=r[2]/100,i=e+t*(1-e),n=0;return i>0&&(n=e/i),[r[0],n*100,i*100]};st.hcg.hsl=function(r){let e=r[1]/100,i=r[2]/100*(1-e)+.5*e,n=0;return i>0&&i<.5?n=e/(2*i):i>=.5&&i<1&&(n=e/(2*(1-i))),[r[0],n*100,i*100]};st.hcg.hwb=function(r){let e=r[1]/100,t=r[2]/100,i=e+t*(1-e);return[r[0],(i-e)*100,(1-i)*100]};st.hwb.hcg=function(r){let e=r[1]/100,i=1-r[2]/100,n=i-e,s=0;return n<1&&(s=(i-n)/(1-n)),[r[0],n*100,s*100]};st.apple.rgb=function(r){return[r[0]/65535*255,r[1]/65535*255,r[2]/65535*255]};st.rgb.apple=function(r){return[r[0]/255*65535,r[1]/255*65535,r[2]/255*65535]};st.gray.rgb=function(r){return[r[0]/100*255,r[0]/100*255,r[0]/100*255]};st.gray.hsl=function(r){return[0,0,r[0]]};st.gray.hsv=st.gray.hsl;st.gray.hwb=function(r){return[0,100,r[0]]};st.gray.cmyk=function(r){return[0,0,0,r[0]]};st.gray.lab=function(r){return[r[0],0,0]};st.gray.hex=function(r){let e=Math.round(r[0]/100*255)&255,i=((e<<16)+(e<<8)+e).toString(16).toUpperCase();return"000000".substring(i.length)+i};st.rgb.gray=function(r){return[(r[0]+r[1]+r[2])/3/255*100]}});var wJ=w((Jet,yJ)=>{var Ty=gx();function fwe(){let r={},e=Object.keys(Ty);for(let t=e.length,i=0;i<t;i++)r[e[i]]={distance:-1,parent:null};return r}function hwe(r){let e=fwe(),t=[r];for(e[r].distance=0;t.length;){let i=t.pop(),n=Object.keys(Ty[i]);for(let s=n.length,o=0;o<s;o++){let a=n[o],l=e[a];l.distance===-1&&(l.distance=e[i].distance+1,l.parent=i,t.unshift(a))}}return e}function pwe(r,e){return function(t){return e(r(t))}}function dwe(r,e){let t=[e[r].parent,r],i=Ty[e[r].parent][r],n=e[r].parent;for(;e[n].parent;)t.unshift(e[n].parent),i=pwe(Ty[e[n].parent][n],i),n=e[n].parent;return i.conversion=t,i}yJ.exports=function(r){let e=hwe(r),t={},i=Object.keys(e);for(let n=i.length,s=0;s<n;s++){let o=i[s];e[o].parent!==null&&(t[o]=dwe(o,e))}return t}});var QJ=w((Wet,BJ)=>{var fx=gx(),Cwe=wJ(),Af={},mwe=Object.keys(fx);function Ewe(r){let e=function(...t){let i=t[0];return i==null?i:(i.length>1&&(t=i),r(t))};return"conversion"in r&&(e.conversion=r.conversion),e}function Iwe(r){let e=function(...t){let i=t[0];if(i==null)return i;i.length>1&&(t=i);let n=r(t);if(typeof n=="object")for(let s=n.length,o=0;o<s;o++)n[o]=Math.round(n[o]);return n};return"conversion"in r&&(e.conversion=r.conversion),e}mwe.forEach(r=>{Af[r]={},Object.defineProperty(Af[r],"channels",{value:fx[r].channels}),Object.defineProperty(Af[r],"labels",{value:fx[r].labels});let e=Cwe(r);Object.keys(e).forEach(i=>{let n=e[i];Af[r][i]=Iwe(n),Af[r][i].raw=Ewe(n)})});BJ.exports=Af});var DJ=w((zet,PJ)=>{"use strict";var bJ=(r,e)=>(...t)=>`\x1B[${r(...t)+e}m`,SJ=(r,e)=>(...t)=>{let i=r(...t);return`\x1B[${38+e};5;${i}m`},vJ=(r,e)=>(...t)=>{let i=r(...t);return`\x1B[${38+e};2;${i[0]};${i[1]};${i[2]}m`},Oy=r=>r,xJ=(r,e,t)=>[r,e,t],lf=(r,e,t)=>{Object.defineProperty(r,e,{get:()=>{let i=t();return 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t,i;if(e.path){if(e.pathname)throw new TypeError("Parameters `path` and `pathname` are mutually exclusive.");if(e.search)throw new TypeError("Parameters `path` and `search` are mutually exclusive.");if(e.searchParams)throw new TypeError("Parameters `path` and `searchParams` are mutually exclusive.")}if(e.search&&e.searchParams)throw new TypeError("Parameters `search` and `searchParams` are mutually exclusive.");if(!r){if(!e.protocol)throw new TypeError("No URL protocol specified");r=`${e.protocol}//${(i=(t=e.hostname)!==null&&t!==void 0?t:e.host)!==null&&i!==void 0?i:""}`}let n=new jPe.URL(r);if(e.path){let s=e.path.indexOf("?");s===-1?e.pathname=e.path:(e.pathname=e.path.slice(0,s),e.search=e.path.slice(s+1)),delete e.path}for(let s of qPe)e[s]&&(n[s]=e[s].toString());return n}});var e6=w(AR=>{"use strict";Object.defineProperty(AR,"__esModule",{value:!0});var aR=class{constructor(){this.weakMap=new WeakMap,this.map=new Map}set(e,t){typeof e=="object"?this.weakMap.set(e,t):this.map.set(e,t)}get(e){return typeof e=="object"?this.weakMap.get(e):this.map.get(e)}has(e){return typeof e=="object"?this.weakMap.has(e):this.map.has(e)}};AR.default=aR});var cR=w(lR=>{"use strict";Object.defineProperty(lR,"__esModule",{value:!0});var JPe=async r=>{let e=[],t=0;for await(let i of r)e.push(i),t+=Buffer.byteLength(i);return Buffer.isBuffer(e[0])?Buffer.concat(e,t):Buffer.from(e.join(""))};lR.default=JPe});var r6=w(Oc=>{"use strict";Object.defineProperty(Oc,"__esModule",{value:!0});Oc.dnsLookupIpVersionToFamily=Oc.isDnsLookupIpVersion=void 0;var t6={auto:0,ipv4:4,ipv6:6};Oc.isDnsLookupIpVersion=r=>r in t6;Oc.dnsLookupIpVersionToFamily=r=>{if(Oc.isDnsLookupIpVersion(r))return t6[r];throw new Error("Invalid DNS lookup IP version")}});var uR=w(rB=>{"use strict";Object.defineProperty(rB,"__esModule",{value:!0});rB.isResponseOk=void 0;rB.isResponseOk=r=>{let{statusCode:e}=r,t=r.request.options.followRedirect?299:399;return e>=200&&e<=t||e===304}});var n6=w(gR=>{"use strict";Object.defineProperty(gR,"__esModule",{value:!0});var i6=new Set;gR.default=r=>{i6.has(r)||(i6.add(r),process.emitWarning(`Got: ${r}`,{type:"DeprecationWarning"}))}});var s6=w(fR=>{"use strict";Object.defineProperty(fR,"__esModule",{value:!0});var mr=Ga(),WPe=(r,e)=>{if(mr.default.null_(r.encoding))throw new TypeError("To get a Buffer, set `options.responseType` to `buffer` instead");mr.assert.any([mr.default.string,mr.default.undefined],r.encoding),mr.assert.any([mr.default.boolean,mr.default.undefined],r.resolveBodyOnly),mr.assert.any([mr.default.boolean,mr.default.undefined],r.methodRewriting),mr.assert.any([mr.default.boolean,mr.default.undefined],r.isStream),mr.assert.any([mr.default.string,mr.default.undefined],r.responseType),r.responseType===void 0&&(r.responseType="text");let{retry:t}=r;if(e?r.retry={...e.retry}:r.retry={calculateDelay:i=>i.computedValue,limit:0,methods:[],statusCodes:[],errorCodes:[],maxRetryAfter:void 0},mr.default.object(t)?(r.retry={...r.retry,...t},r.retry.methods=[...new Set(r.retry.methods.map(i=>i.toUpperCase()))],r.retry.statusCodes=[...new Set(r.retry.statusCodes)],r.retry.errorCodes=[...new Set(r.retry.errorCodes)]):mr.default.number(t)&&(r.retry.limit=t),mr.default.undefined(r.retry.maxRetryAfter)&&(r.retry.maxRetryAfter=Math.min(...[r.timeout.request,r.timeout.connect].filter(mr.default.number))),mr.default.object(r.pagination)){e&&(r.pagination={...e.pagination,...r.pagination});let{pagination:i}=r;if(!mr.default.function_(i.transform))throw new Error("`options.pagination.transform` must be implemented");if(!mr.default.function_(i.shouldContinue))throw new Error("`options.pagination.shouldContinue` must be implemented");if(!mr.default.function_(i.filter))throw new TypeError("`options.pagination.filter` must be implemented");if(!mr.default.function_(i.paginate))throw new Error("`options.pagination.paginate` must be implemented")}return r.responseType==="json"&&r.headers.accept===void 0&&(r.headers.accept="application/json"),r};fR.default=WPe});var o6=w(wC=>{"use strict";Object.defineProperty(wC,"__esModule",{value:!0});wC.retryAfterStatusCodes=void 0;wC.retryAfterStatusCodes=new Set([413,429,503]);var zPe=({attemptCount:r,retryOptions:e,error:t,retryAfter:i})=>{if(r>e.limit)return 0;let n=e.methods.includes(t.options.method),s=e.errorCodes.includes(t.code),o=t.response&&e.statusCodes.includes(t.response.statusCode);if(!n||!s&&!o)return 0;if(t.response){if(i)return e.maxRetryAfter===void 0||i>e.maxRetryAfter?0:i;if(t.response.statusCode===413)return 0}let a=Math.random()*100;return 2**(r-1)*1e3+a};wC.default=zPe});var bC=w(Yt=>{"use strict";Object.defineProperty(Yt,"__esModule",{value:!0});Yt.UnsupportedProtocolError=Yt.ReadError=Yt.TimeoutError=Yt.UploadError=Yt.CacheError=Yt.HTTPError=Yt.MaxRedirectsError=Yt.RequestError=Yt.setNonEnumerableProperties=Yt.knownHookEvents=Yt.withoutBody=Yt.kIsNormalizedAlready=void 0;var a6=J("util"),A6=J("stream"),VPe=J("fs"),VA=J("url"),l6=J("http"),hR=J("http"),XPe=J("https"),ZPe=Qz(),_Pe=kz(),c6=l5(),$Pe=f5(),eDe=G5(),tDe=Zw(),Ee=Ga(),rDe=W5(),u6=eR(),iDe=iR(),g6=X5(),nDe=_5(),f6=$5(),sDe=e6(),oDe=cR(),h6=r6(),aDe=uR(),XA=n6(),ADe=s6(),lDe=o6(),pR,Pi=Symbol("request"),sB=Symbol("response"),Gf=Symbol("responseSize"),Yf=Symbol("downloadedSize"),jf=Symbol("bodySize"),qf=Symbol("uploadedSize"),iB=Symbol("serverResponsesPiped"),p6=Symbol("unproxyEvents"),d6=Symbol("isFromCache"),dR=Symbol("cancelTimeouts"),C6=Symbol("startedReading"),Jf=Symbol("stopReading"),nB=Symbol("triggerRead"),ZA=Symbol("body"),BC=Symbol("jobs"),m6=Symbol("originalResponse"),E6=Symbol("retryTimeout");Yt.kIsNormalizedAlready=Symbol("isNormalizedAlready");var cDe=Ee.default.string(process.versions.brotli);Yt.withoutBody=new Set(["GET","HEAD"]);Yt.knownHookEvents=["init","beforeRequest","beforeRedirect","beforeError","beforeRetry","afterResponse"];function uDe(r){for(let e in r){let t=r[e];if(!Ee.default.string(t)&&!Ee.default.number(t)&&!Ee.default.boolean(t)&&!Ee.default.null_(t)&&!Ee.default.undefined(t))throw new TypeError(`The \`searchParams\` value '${String(t)}' must be a string, number, boolean or null`)}}function gDe(r){return Ee.default.object(r)&&!("statusCode"in r)}var CR=new sDe.default,fDe=async r=>new Promise((e,t)=>{let i=n=>{t(n)};r.pending||e(),r.once("error",i),r.once("ready",()=>{r.off("error",i),e()})}),hDe=new Set([300,301,302,303,304,307,308]),pDe=["context","body","json","form"];Yt.setNonEnumerableProperties=(r,e)=>{let t={};for(let i of r)if(!!i)for(let n of pDe)n in i&&(t[n]={writable:!0,configurable:!0,enumerable:!1,value:i[n]});Object.defineProperties(e,t)};var ei=class extends Error{constructor(e,t,i){var n;if(super(e),Error.captureStackTrace(this,this.constructor),this.name="RequestError",this.code=t.code,i instanceof gB?(Object.defineProperty(this,"request",{enumerable:!1,value:i}),Object.defineProperty(this,"response",{enumerable:!1,value:i[sB]}),Object.defineProperty(this,"options",{enumerable:!1,value:i.options})):Object.defineProperty(this,"options",{enumerable:!1,value:i}),this.timings=(n=this.request)===null||n===void 0?void 0:n.timings,Ee.default.string(t.stack)&&Ee.default.string(this.stack)){let s=this.stack.indexOf(this.message)+this.message.length,o=this.stack.slice(s).split(`
`).reverse(),a=t.stack.slice(t.stack.indexOf(t.message)+t.message.length).split(`
`).reverse();for(;a.length!==0&&a[0]===o[0];)o.shift();this.stack=`${this.stack.slice(0,s)}${o.reverse().join(`
`)}${a.reverse().join(`
`)}`}}};Yt.RequestError=ei;var oB=class extends ei{constructor(e){super(`Redirected ${e.options.maxRedirects} times. Aborting.`,{},e),this.name="MaxRedirectsError"}};Yt.MaxRedirectsError=oB;var aB=class extends ei{constructor(e){super(`Response code ${e.statusCode} (${e.statusMessage})`,{},e.request),this.name="HTTPError"}};Yt.HTTPError=aB;var AB=class extends ei{constructor(e,t){super(e.message,e,t),this.name="CacheError"}};Yt.CacheError=AB;var lB=class extends ei{constructor(e,t){super(e.message,e,t),this.name="UploadError"}};Yt.UploadError=lB;var cB=class extends ei{constructor(e,t,i){super(e.message,e,i),this.name="TimeoutError",this.event=e.event,this.timings=t}};Yt.TimeoutError=cB;var QC=class extends ei{constructor(e,t){super(e.message,e,t),this.name="ReadError"}};Yt.ReadError=QC;var uB=class extends ei{constructor(e){super(`Unsupported protocol "${e.url.protocol}"`,{},e),this.name="UnsupportedProtocolError"}};Yt.UnsupportedProtocolError=uB;var dDe=["socket","connect","continue","information","upgrade","timeout"],gB=class extends A6.Duplex{constructor(e,t={},i){super({autoDestroy:!1,highWaterMark:0}),this[Yf]=0,this[qf]=0,this.requestInitialized=!1,this[iB]=new Set,this.redirects=[],this[Jf]=!1,this[nB]=!1,this[BC]=[],this.retryCount=0,this._progressCallbacks=[];let n=()=>this._unlockWrite(),s=()=>this._lockWrite();this.on("pipe",c=>{c.prependListener("data",n),c.on("data",s),c.prependListener("end",n),c.on("end",s)}),this.on("unpipe",c=>{c.off("data",n),c.off("data",s),c.off("end",n),c.off("end",s)}),this.on("pipe",c=>{c instanceof hR.IncomingMessage&&(this.options.headers={...c.headers,...this.options.headers})});let{json:o,body:a,form:l}=t;if((o||a||l)&&this._lockWrite(),Yt.kIsNormalizedAlready in t)this.options=t;else try{this.options=this.constructor.normalizeArguments(e,t,i)}catch(c){Ee.default.nodeStream(t.body)&&t.body.destroy(),this.destroy(c);return}(async()=>{var c;try{this.options.body instanceof VPe.ReadStream&&await fDe(this.options.body);let{url:u}=this.options;if(!u)throw new TypeError("Missing `url` property");if(this.requestUrl=u.toString(),decodeURI(this.requestUrl),await this._finalizeBody(),await this._makeRequest(),this.destroyed){(c=this[Pi])===null||c===void 0||c.destroy();return}for(let g of this[BC])g();this[BC].length=0,this.requestInitialized=!0}catch(u){if(u instanceof ei){this._beforeError(u);return}this.destroyed||this.destroy(u)}})()}static normalizeArguments(e,t,i){var n,s,o,a,l;let c=t;if(Ee.default.object(e)&&!Ee.default.urlInstance(e))t={...i,...e,...t};else{if(e&&t&&t.url!==void 0)throw new TypeError("The `url` option is mutually exclusive with the `input` argument");t={...i,...t},e!==void 0&&(t.url=e),Ee.default.urlInstance(t.url)&&(t.url=new VA.URL(t.url.toString()))}if(t.cache===!1&&(t.cache=void 0),t.dnsCache===!1&&(t.dnsCache=void 0),Ee.assert.any([Ee.default.string,Ee.default.undefined],t.method),Ee.assert.any([Ee.default.object,Ee.default.undefined],t.headers),Ee.assert.any([Ee.default.string,Ee.default.urlInstance,Ee.default.undefined],t.prefixUrl),Ee.assert.any([Ee.default.object,Ee.default.undefined],t.cookieJar),Ee.assert.any([Ee.default.object,Ee.default.string,Ee.default.undefined],t.searchParams),Ee.assert.any([Ee.default.object,Ee.default.string,Ee.default.undefined],t.cache),Ee.assert.any([Ee.default.object,Ee.default.number,Ee.default.undefined],t.timeout),Ee.assert.any([Ee.default.object,Ee.default.undefined],t.context),Ee.assert.any([Ee.default.object,Ee.default.undefined],t.hooks),Ee.assert.any([Ee.default.boolean,Ee.default.undefined],t.decompress),Ee.assert.any([Ee.default.boolean,Ee.default.undefined],t.ignoreInvalidCookies),Ee.assert.any([Ee.default.boolean,Ee.default.undefined],t.followRedirect),Ee.assert.any([Ee.default.number,Ee.default.undefined],t.maxRedirects),Ee.assert.any([Ee.default.boolean,Ee.default.undefined],t.throwHttpErrors),Ee.assert.any([Ee.default.boolean,Ee.default.undefined],t.http2),Ee.assert.any([Ee.default.boolean,Ee.default.undefined],t.allowGetBody),Ee.assert.any([Ee.default.string,Ee.default.undefined],t.localAddress),Ee.assert.any([h6.isDnsLookupIpVersion,Ee.default.undefined],t.dnsLookupIpVersion),Ee.assert.any([Ee.default.object,Ee.default.undefined],t.https),Ee.assert.any([Ee.default.boolean,Ee.default.undefined],t.rejectUnauthorized),t.https&&(Ee.assert.any([Ee.default.boolean,Ee.default.undefined],t.https.rejectUnauthorized),Ee.assert.any([Ee.default.function_,Ee.default.undefined],t.https.checkServerIdentity),Ee.assert.any([Ee.default.string,Ee.default.object,Ee.default.array,Ee.default.undefined],t.https.certificateAuthority),Ee.assert.any([Ee.default.string,Ee.default.object,Ee.default.array,Ee.default.undefined],t.https.key),Ee.assert.any([Ee.default.string,Ee.default.object,Ee.default.array,Ee.default.undefined],t.https.certificate),Ee.assert.any([Ee.default.string,Ee.default.undefined],t.https.passphrase),Ee.assert.any([Ee.default.string,Ee.default.buffer,Ee.default.array,Ee.default.undefined],t.https.pfx)),Ee.assert.any([Ee.default.object,Ee.default.undefined],t.cacheOptions),Ee.default.string(t.method)?t.method=t.method.toUpperCase():t.method="GET",t.headers===(i==null?void 0:i.headers)?t.headers={...t.headers}:t.headers=tDe({...i==null?void 0:i.headers,...t.headers}),"slashes"in t)throw new TypeError("The legacy `url.Url` has been deprecated. Use `URL` instead.");if("auth"in t)throw new TypeError("Parameter `auth` is deprecated. Use `username` / `password` instead.");if("searchParams"in t&&t.searchParams&&t.searchParams!==(i==null?void 0:i.searchParams)){let h;if(Ee.default.string(t.searchParams)||t.searchParams instanceof VA.URLSearchParams)h=new VA.URLSearchParams(t.searchParams);else{uDe(t.searchParams),h=new VA.URLSearchParams;for(let p in t.searchParams){let C=t.searchParams[p];C===null?h.append(p,""):C!==void 0&&h.append(p,C)}}(n=i==null?void 0:i.searchParams)===null||n===void 0||n.forEach((p,C)=>{h.has(C)||h.append(C,p)}),t.searchParams=h}if(t.username=(s=t.username)!==null&&s!==void 0?s:"",t.password=(o=t.password)!==null&&o!==void 0?o:"",Ee.default.undefined(t.prefixUrl)?t.prefixUrl=(a=i==null?void 0:i.prefixUrl)!==null&&a!==void 0?a:"":(t.prefixUrl=t.prefixUrl.toString(),t.prefixUrl!==""&&!t.prefixUrl.endsWith("/")&&(t.prefixUrl+="/")),Ee.default.string(t.url)){if(t.url.startsWith("/"))throw new Error("`input` must not start with a slash when using `prefixUrl`");t.url=f6.default(t.prefixUrl+t.url,t)}else(Ee.default.undefined(t.url)&&t.prefixUrl!==""||t.protocol)&&(t.url=f6.default(t.prefixUrl,t));if(t.url){"port"in t&&delete t.port;let{prefixUrl:h}=t;Object.defineProperty(t,"prefixUrl",{set:C=>{let y=t.url;if(!y.href.startsWith(C))throw new Error(`Cannot change \`prefixUrl\` from ${h} to ${C}: ${y.href}`);t.url=new VA.URL(C+y.href.slice(h.length)),h=C},get:()=>h});let{protocol:p}=t.url;if(p==="unix:"&&(p="http:",t.url=new VA.URL(`http://unix${t.url.pathname}${t.url.search}`)),t.searchParams&&(t.url.search=t.searchParams.toString()),p!=="http:"&&p!=="https:")throw new uB(t);t.username===""?t.username=t.url.username:t.url.username=t.username,t.password===""?t.password=t.url.password:t.url.password=t.password}let{cookieJar:u}=t;if(u){let{setCookie:h,getCookieString:p}=u;Ee.assert.function_(h),Ee.assert.function_(p),h.length===4&&p.length===0&&(h=a6.promisify(h.bind(t.cookieJar)),p=a6.promisify(p.bind(t.cookieJar)),t.cookieJar={setCookie:h,getCookieString:p})}let{cache:g}=t;if(g&&(CR.has(g)||CR.set(g,new c6((h,p)=>{let C=h[Pi](h,p);return Ee.default.promise(C)&&(C.once=(y,B)=>{if(y==="error")C.catch(B);else if(y==="abort")(async()=>{try{(await C).once("abort",B)}catch{}})();else throw new Error(`Unknown HTTP2 promise event: ${y}`);return C}),C},g))),t.cacheOptions={...t.cacheOptions},t.dnsCache===!0)pR||(pR=new _Pe.default),t.dnsCache=pR;else if(!Ee.default.undefined(t.dnsCache)&&!t.dnsCache.lookup)throw new TypeError(`Parameter \`dnsCache\` must be a CacheableLookup instance or a boolean, got ${Ee.default(t.dnsCache)}`);Ee.default.number(t.timeout)?t.timeout={request:t.timeout}:i&&t.timeout!==i.timeout?t.timeout={...i.timeout,...t.timeout}:t.timeout={...t.timeout},t.context||(t.context={});let f=t.hooks===(i==null?void 0:i.hooks);t.hooks={...t.hooks};for(let h of Yt.knownHookEvents)if(h in t.hooks)if(Ee.default.array(t.hooks[h]))t.hooks[h]=[...t.hooks[h]];else throw new TypeError(`Parameter \`${h}\` must be an Array, got ${Ee.default(t.hooks[h])}`);else t.hooks[h]=[];if(i&&!f)for(let h of Yt.knownHookEvents)i.hooks[h].length>0&&(t.hooks[h]=[...i.hooks[h],...t.hooks[h]]);if("family"in t&&XA.default('"options.family" was never documented, please use "options.dnsLookupIpVersion"'),i!=null&&i.https&&(t.https={...i.https,...t.https}),"rejectUnauthorized"in t&&XA.default('"options.rejectUnauthorized" is now deprecated, please use "options.https.rejectUnauthorized"'),"checkServerIdentity"in t&&XA.default('"options.checkServerIdentity" was never documented, please use "options.https.checkServerIdentity"'),"ca"in t&&XA.default('"options.ca" was never documented, please use "options.https.certificateAuthority"'),"key"in t&&XA.default('"options.key" was never documented, please use "options.https.key"'),"cert"in t&&XA.default('"options.cert" was never documented, please use "options.https.certificate"'),"passphrase"in t&&XA.default('"options.passphrase" was never documented, please use "options.https.passphrase"'),"pfx"in t&&XA.default('"options.pfx" was never documented, please use "options.https.pfx"'),"followRedirects"in t)throw new TypeError("The `followRedirects` option does not exist. Use `followRedirect` instead.");if(t.agent){for(let h in t.agent)if(h!=="http"&&h!=="https"&&h!=="http2")throw new TypeError(`Expected the \`options.agent\` properties to be \`http\`, \`https\` or \`http2\`, got \`${h}\``)}return t.maxRedirects=(l=t.maxRedirects)!==null&&l!==void 0?l:0,Yt.setNonEnumerableProperties([i,c],t),ADe.default(t,i)}_lockWrite(){let e=()=>{throw new TypeError("The payload has been already provided")};this.write=e,this.end=e}_unlockWrite(){this.write=super.write,this.end=super.end}async _finalizeBody(){let{options:e}=this,{headers:t}=e,i=!Ee.default.undefined(e.form),n=!Ee.default.undefined(e.json),s=!Ee.default.undefined(e.body),o=i||n||s,a=Yt.withoutBody.has(e.method)&&!(e.method==="GET"&&e.allowGetBody);if(this._cannotHaveBody=a,o){if(a)throw new TypeError(`The \`${e.method}\` method cannot be used with a body`);if([s,i,n].filter(l=>l).length>1)throw new TypeError("The `body`, `json` and `form` options are mutually exclusive");if(s&&!(e.body instanceof 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gg(d){try{if(d==Io&&V)return new Uint8Array(V);var E=da(d);if(E)return E;if(C)return C(d);throw"sync fetching of the wasm failed: you can preload it to Module['wasmBinary'] manually, or emcc.py will do that for you when generating HTML (but not JS)"}catch(I){wr(I)}}function Bp(d,E){var I,k,T;try{T=gg(d),k=new WebAssembly.Module(T),I=new WebAssembly.Instance(k,E)}catch(te){var Z=te.toString();throw D("failed to compile wasm module: "+Z),(Z.includes("imported Memory")||Z.includes("memory import"))&&D("Memory size incompatibility issues may be due to changing INITIAL_MEMORY at runtime to something too large. 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E=S.lookupPath(d,{follow_mount:!1});if(!S.isMountpoint(E.node))throw new S.ErrnoError(28);var I=E.node,k=I.mounted,T=S.getMounts(k);Object.keys(S.nameTable).forEach(function(te){for(var we=S.nameTable[te];we;){var me=we.name_next;T.includes(we.mount)&&S.destroyNode(we),we=me}}),I.mounted=null;var Z=I.mount.mounts.indexOf(k);I.mount.mounts.splice(Z,1)},lookup:function(d,E){return d.node_ops.lookup(d,E)},mknod:function(d,E,I){var k=S.lookupPath(d,{parent:!0}),T=k.node,Z=Qt.basename(d);if(!Z||Z==="."||Z==="..")throw new S.ErrnoError(28);var te=S.mayCreate(T,Z);if(te)throw new S.ErrnoError(te);if(!T.node_ops.mknod)throw new S.ErrnoError(63);return T.node_ops.mknod(T,Z,E,I)},create:function(d,E){return E=E!==void 0?E:438,E&=4095,E|=32768,S.mknod(d,E,0)},mkdir:function(d,E){return E=E!==void 0?E:511,E&=1023,E|=16384,S.mknod(d,E,0)},mkdirTree:function(d,E){for(var I=d.split("/"),k="",T=0;T<I.length;++T)if(!!I[T]){k+="/"+I[T];try{S.mkdir(k,E)}catch(Z){if(Z.errno!=20)throw 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S.ErrnoError(10);try{S.trackingDelegate.willDeletePath&&S.trackingDelegate.willDeletePath(d)}catch(te){D("FS.trackingDelegate['willDeletePath']('"+d+"') threw an exception: "+te.message)}I.node_ops.rmdir(I,k),S.destroyNode(T);try{S.trackingDelegate.onDeletePath&&S.trackingDelegate.onDeletePath(d)}catch(te){D("FS.trackingDelegate['onDeletePath']('"+d+"') threw an exception: "+te.message)}},readdir:function(d){var E=S.lookupPath(d,{follow:!0}),I=E.node;if(!I.node_ops.readdir)throw new S.ErrnoError(54);return I.node_ops.readdir(I)},unlink:function(d){var E=S.lookupPath(d,{parent:!0}),I=E.node,k=Qt.basename(d),T=S.lookupNode(I,k),Z=S.mayDelete(I,k,!1);if(Z)throw new S.ErrnoError(Z);if(!I.node_ops.unlink)throw new S.ErrnoError(63);if(S.isMountpoint(T))throw new S.ErrnoError(10);try{S.trackingDelegate.willDeletePath&&S.trackingDelegate.willDeletePath(d)}catch(te){D("FS.trackingDelegate['willDeletePath']('"+d+"') threw an exception: 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k=S.lookupPath(d,{follow:!0}),T=k.node;T.node_ops.setattr(T,{timestamp:Math.max(E,I)})},open:function(d,E,I,k,T){if(d==="")throw new S.ErrnoError(44);E=typeof E=="string"?S.modeStringToFlags(E):E,I=typeof I>"u"?438:I,E&64?I=I&4095|32768:I=0;var Z;if(typeof d=="object")Z=d;else{d=Qt.normalize(d);try{var te=S.lookupPath(d,{follow:!(E&131072)});Z=te.node}catch{}}var we=!1;if(E&64)if(Z){if(E&128)throw new S.ErrnoError(20)}else Z=S.mknod(d,I,0),we=!0;if(!Z)throw new S.ErrnoError(44);if(S.isChrdev(Z.mode)&&(E&=-513),E&65536&&!S.isDir(Z.mode))throw new S.ErrnoError(54);if(!we){var me=S.mayOpen(Z,E);if(me)throw new S.ErrnoError(me)}E&512&&S.truncate(Z,0),E&=-131713;var Je=S.createStream({node:Z,path:S.getPath(Z),flags:E,seekable:!0,position:0,stream_ops:Z.stream_ops,ungotten:[],error:!1},k,T);Je.stream_ops.open&&Je.stream_ops.open(Je),t.logReadFiles&&!(E&1)&&(S.readFiles||(S.readFiles={}),d in S.readFiles||(S.readFiles[d]=1,D("FS.trackingDelegate error on read file: 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|55177<=A&&A<=55203?u:A==9757||A==9977||9994<=A&&A<=9997||A==127877||127938<=A&&A<=127940||A==127943||127946<=A&&A<=127948||128066<=A&&A<=128067||128070<=A&&A<=128080||A==128110||128112<=A&&A<=128120||A==128124||128129<=A&&A<=128131||128133<=A&&A<=128135||A==128170||128372<=A&&A<=128373||A==128378||A==128400||128405<=A&&A<=128406||128581<=A&&A<=128583||128587<=A&&A<=128591||A==128675||128692<=A&&A<=128694||A==128704||A==128716||129304<=A&&A<=129308||129310<=A&&A<=129311||A==129318||129328<=A&&A<=129337||129341<=A&&A<=129342||129489<=A&&A<=129501?h:127995<=A&&A<=127999?p:A==8205?C:A==9792||A==9794||9877<=A&&A<=9878||A==9992||A==10084||A==127752||A==127806||A==127859||A==127891||A==127908||A==127912||A==127979||A==127981||A==128139||128187<=A&&A<=128188||A==128295||A==128300||A==128488||A==128640||A==128658?y:128102<=A&&A<=128105?B:g}return 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Map([["C","cwd"],["f","file"],["z","gzip"],["P","preservePaths"],["U","unlink"],["strip-components","strip"],["stripComponents","strip"],["keep-newer","newer"],["keepNewer","newer"],["keep-newer-files","newer"],["keepNewerFiles","newer"],["k","keep"],["keep-existing","keep"],["keepExisting","keep"],["m","noMtime"],["no-mtime","noMtime"],["p","preserveOwner"],["L","follow"],["h","follow"]]);E9.exports=r=>r?Object.keys(r).map(e=>[m9.has(e)?m9.get(e):e,r[e]]).reduce((e,t)=>(e[t[0]]=t[1],e),Object.create(null)):{}});var _f=w((yot,x9)=>{"use strict";var I9=typeof process=="object"&&process?process:{stdout:null,stderr:null},yRe=J("events"),y9=J("stream"),w9=J("string_decoder").StringDecoder,Wa=Symbol("EOF"),za=Symbol("maybeEmitEnd"),tl=Symbol("emittedEnd"),OB=Symbol("emittingEnd"),NC=Symbol("emittedError"),MB=Symbol("closed"),B9=Symbol("read"),UB=Symbol("flush"),Q9=Symbol("flushChunk"),vn=Symbol("encoding"),Va=Symbol("decoder"),KB=Symbol("flowing"),LC=Symbol("paused"),Zf=Symbol("resume"),Ci=Symbol("bufferLength"),zR=Symbol("bufferPush"),VR=Symbol("bufferShift"),Hi=Symbol("objectMode"),Gi=Symbol("destroyed"),XR=Symbol("emitData"),b9=Symbol("emitEnd"),ZR=Symbol("emitEnd2"),Xa=Symbol("async"),TC=r=>Promise.resolve().then(r),S9=global._MP_NO_ITERATOR_SYMBOLS_!=="1",wRe=S9&&Symbol.asyncIterator||Symbol("asyncIterator not implemented"),BRe=S9&&Symbol.iterator||Symbol("iterator not implemented"),QRe=r=>r==="end"||r==="finish"||r==="prefinish",bRe=r=>r instanceof ArrayBuffer||typeof r=="object"&&r.constructor&&r.constructor.name==="ArrayBuffer"&&r.byteLength>=0,SRe=r=>!Buffer.isBuffer(r)&&ArrayBuffer.isView(r),HB=class{constructor(e,t,i){this.src=e,this.dest=t,this.opts=i,this.ondrain=()=>e[Zf](),t.on("drain",this.ondrain)}unpipe(){this.dest.removeListener("drain",this.ondrain)}proxyErrors(){}end(){this.unpipe(),this.opts.end&&this.dest.end()}},_R=class extends HB{unpipe(){this.src.removeListener("error",this.proxyErrors),super.unpipe()}constructor(e,t,i){super(e,t,i),this.proxyErrors=n=>t.emit("error",n),e.on("error",this.proxyErrors)}};x9.exports=class v9 extends y9{constructor(e){super(),this[KB]=!1,this[LC]=!1,this.pipes=[],this.buffer=[],this[Hi]=e&&e.objectMode||!1,this[Hi]?this[vn]=null:this[vn]=e&&e.encoding||null,this[vn]==="buffer"&&(this[vn]=null),this[Xa]=e&&!!e.async||!1,this[Va]=this[vn]?new w9(this[vn]):null,this[Wa]=!1,this[tl]=!1,this[OB]=!1,this[MB]=!1,this[NC]=null,this.writable=!0,this.readable=!0,this[Ci]=0,this[Gi]=!1}get 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L0.Sync(r),qNe=r=>new L0(r)});var tZ=w(ci=>{"use strict";ci.c=ci.create=TX();ci.r=ci.replace=oN();ci.t=ci.list=B0();ci.u=ci.update=qX();ci.x=ci.extract=eZ();ci.Pack=A0();ci.Unpack=QN();ci.Parse=w0();ci.ReadEntry=qB();ci.WriteEntry=LF();ci.Header=ih();ci.Pax=WB();ci.types=CF()});var sZ=w((fat,nZ)=>{var SN;nZ.exports.getContent=()=>(typeof SN>"u"&&(SN=J("zlib").brotliDecompressSync(Buffer.from("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t+=r<0?su.left(-r):r>0?su.right(r):"",t+=e<0?su.up(-e):e>0?su.down(e):"",t},restore(r={}){let{after:e,cursor:t,initial:i,input:n,prompt:s,size:o,value:a}=r;if(i=rT.isPrimitive(i)?String(i):"",n=rT.isPrimitive(n)?String(n):"",a=rT.isPrimitive(a)?String(a):"",o){let l=go.cursor.up(o)+go.cursor.to(s.length),c=n.length-t;return c>0&&(l+=go.cursor.left(c)),l}if(a||e){let l=!n&&!!i?-i.length:-n.length+t;return e&&(l-=e.length),n===""&&i&&!s.includes(i)&&(l+=i.length),go.cursor.move(l)}}},nT=go.erase={screen:pl.screen,up:pl.up,down:pl.down,line:pl.line,lineEnd:pl.lineEnd,lineStart:pl.lineStart,lines(r){let e="";for(let t=0;t<r;t++)e+=go.erase.line+(t<r-1?go.cursor.up(1):"");return r&&(e+=go.code.beginning),e}};go.clear=(r="",e=process.stdout.columns)=>{if(!e)return nT.line+su.to(0);let t=s=>[...pje.unstyle(s)].length,i=r.split(/\r?\n/),n=0;for(let s of i)n+=1+Math.floor(Math.max(t(s)-1,0)/e);return(nT.line+su.prevLine()).repeat(n-1)+nT.line+su.to(0)}});var Yh=w((vgt,Ine)=>{"use strict";var dje=J("events"),Ene=uo(),sT=ine(),Cje=sne(),mje=ane(),Eje=fne(),Dn=ji(),ou=mne(),Tm=class extends dje{constructor(e={}){super(),this.name=e.name,this.type=e.type,this.options=e,Eje(this),Cje(this),this.state=new mje(this),this.initial=[e.initial,e.default].find(t=>t!=null),this.stdout=e.stdout||process.stdout,this.stdin=e.stdin||process.stdin,this.scale=e.scale||1,this.term=this.options.term||process.env.TERM_PROGRAM,this.margin=yje(this.options.margin),this.setMaxListeners(0),Ije(this)}async keypress(e,t={}){this.keypressed=!0;let i=sT.action(e,sT(e,t),this.options.actions);this.state.keypress=i,this.emit("keypress",e,i),this.emit("state",this.state.clone());let n=this.options[i.action]||this[i.action]||this.dispatch;if(typeof n=="function")return await n.call(this,e,i);this.alert()}alert(){delete this.state.alert,this.options.show===!1?this.emit("alert"):this.stdout.write(ou.code.beep)}cursorHide(){this.stdout.write(ou.cursor.hide()),Dn.onExit(()=>this.cursorShow())}cursorShow(){this.stdout.write(ou.cursor.show())}write(e){!e||(this.stdout&&this.state.show!==!1&&this.stdout.write(e),this.state.buffer+=e)}clear(e=0){let t=this.state.buffer;this.state.buffer="",!(!t&&!e||this.options.show===!1)&&this.stdout.write(ou.cursor.down(e)+ou.clear(t,this.width))}restore(){if(this.state.closed||this.options.show===!1)return;let{prompt:e,after:t,rest:i}=this.sections(),{cursor:n,initial:s="",input:o="",value:a=""}=this,l=this.state.size=i.length,c={after:t,cursor:n,initial:s,input:o,prompt:e,size:l,value:a},u=ou.cursor.restore(c);u&&this.stdout.write(u)}sections(){let{buffer:e,input:t,prompt:i}=this.state;i=Ene.unstyle(i);let n=Ene.unstyle(e),s=n.indexOf(i),o=n.slice(0,s),l=n.slice(s).split(`
`),c=l[0],u=l[l.length-1],f=(i+(t?" "+t:"")).length,h=f<c.length?c.slice(f+1):"";return{header:o,prompt:c,after:h,rest:l.slice(1),last:u}}async submit(){this.state.submitted=!0,this.state.validating=!0,this.options.onSubmit&&await this.options.onSubmit.call(this,this.name,this.value,this);let e=this.state.error||await this.validate(this.value,this.state);if(e!==!0){let t=`
`+this.symbols.pointer+" ";typeof e=="string"?t+=e.trim():t+="Invalid input",this.state.error=`
`+this.styles.danger(t),this.state.submitted=!1,await this.render(),await this.alert(),this.state.validating=!1,this.state.error=void 0;return}this.state.validating=!1,await this.render(),await this.close(),this.value=await this.result(this.value),this.emit("submit",this.value)}async cancel(e){this.state.cancelled=this.state.submitted=!0,await this.render(),await this.close(),typeof this.options.onCancel=="function"&&await this.options.onCancel.call(this,this.name,this.value,this),this.emit("cancel",await this.error(e))}async close(){this.state.closed=!0;try{let e=this.sections(),t=Math.ceil(e.prompt.length/this.width);e.rest&&this.write(ou.cursor.down(e.rest.length)),this.write(`
`.repeat(t))}catch{}this.emit("close")}start(){!this.stop&&this.options.show!==!1&&(this.stop=sT.listen(this,this.keypress.bind(this)),this.once("close",this.stop))}async skip(){return this.skipped=this.options.skip===!0,typeof this.options.skip=="function"&&(this.skipped=await this.options.skip.call(this,this.name,this.value)),this.skipped}async initialize(){let{format:e,options:t,result:i}=this;if(this.format=()=>e.call(this,this.value),this.result=()=>i.call(this,this.value),typeof t.initial=="function"&&(this.initial=await t.initial.call(this,this)),typeof t.onRun=="function"&&await t.onRun.call(this,this),typeof t.onSubmit=="function"){let n=t.onSubmit.bind(this),s=this.submit.bind(this);delete this.options.onSubmit,this.submit=async()=>(await n(this.name,this.value,this),s())}await this.start(),await this.render()}render(){throw new Error("expected prompt to have a custom render method")}run(){return new Promise(async(e,t)=>{if(this.once("submit",e),this.once("cancel",t),await this.skip())return this.render=()=>{},this.submit();await this.initialize(),this.emit("run")})}async element(e,t,i){let{options:n,state:s,symbols:o,timers:a}=this,l=a&&a[e];s.timer=l;let c=n[e]||s[e]||o[e],u=t&&t[e]!=null?t[e]:await c;if(u==="")return u;let g=await this.resolve(u,s,t,i);return!g&&t&&t[e]?this.resolve(c,s,t,i):g}async prefix(){let e=await this.element("prefix")||this.symbols,t=this.timers&&this.timers.prefix,i=this.state;return i.timer=t,Dn.isObject(e)&&(e=e[i.status]||e.pending),Dn.hasColor(e)?e:(this.styles[i.status]||this.styles.pending)(e)}async message(){let e=await this.element("message");return Dn.hasColor(e)?e:this.styles.strong(e)}async separator(){let e=await this.element("separator")||this.symbols,t=this.timers&&this.timers.separator,i=this.state;i.timer=t;let n=e[i.status]||e.pending||i.separator,s=await this.resolve(n,i);return Dn.isObject(s)&&(s=s[i.status]||s.pending),Dn.hasColor(s)?s:this.styles.muted(s)}async pointer(e,t){let i=await this.element("pointer",e,t);if(typeof i=="string"&&Dn.hasColor(i))return i;if(i){let n=this.styles,s=this.index===t,o=s?n.primary:c=>c,a=await this.resolve(i[s?"on":"off"]||i,this.state),l=Dn.hasColor(a)?a:o(a);return s?l:" ".repeat(a.length)}}async indicator(e,t){let i=await this.element("indicator",e,t);if(typeof i=="string"&&Dn.hasColor(i))return i;if(i){let n=this.styles,s=e.enabled===!0,o=s?n.success:n.dark,a=i[s?"on":"off"]||i;return Dn.hasColor(a)?a:o(a)}return""}body(){return null}footer(){if(this.state.status==="pending")return this.element("footer")}header(){if(this.state.status==="pending")return this.element("header")}async hint(){if(this.state.status==="pending"&&!this.isValue(this.state.input)){let e=await this.element("hint");return Dn.hasColor(e)?e:this.styles.muted(e)}}error(e){return this.state.submitted?"":e||this.state.error}format(e){return e}result(e){return e}validate(e){return this.options.required===!0?this.isValue(e):!0}isValue(e){return e!=null&&e!==""}resolve(e,...t){return Dn.resolve(this,e,...t)}get base(){return Tm.prototype}get style(){return this.styles[this.state.status]}get height(){return this.options.rows||Dn.height(this.stdout,25)}get width(){return this.options.columns||Dn.width(this.stdout,80)}get size(){return{width:this.width,height:this.height}}set cursor(e){this.state.cursor=e}get cursor(){return this.state.cursor}set input(e){this.state.input=e}get input(){return this.state.input}set value(e){this.state.value=e}get value(){let{input:e,value:t}=this.state,i=[t,e].find(this.isValue.bind(this));return this.isValue(i)?i:this.initial}static get prompt(){return e=>new this(e).run()}};function Ije(r){let e=n=>r[n]===void 0||typeof r[n]=="function",t=["actions","choices","initial","margin","roles","styles","symbols","theme","timers","value"],i=["body","footer","error","header","hint","indicator","message","prefix","separator","skip"];for(let n of Object.keys(r.options)){if(t.includes(n)||/^on[A-Z]/.test(n))continue;let s=r.options[n];typeof s=="function"&&e(n)?i.includes(n)||(r[n]=s.bind(r)):typeof r[n]!="function"&&(r[n]=s)}}function yje(r){typeof r=="number"&&(r=[r,r,r,r]);let e=[].concat(r||[]),t=n=>n%2===0?`
`:" ",i=[];for(let n=0;n<4;n++){let s=t(n);e[n]?i.push(s.repeat(e[n])):i.push("")}return i}Ine.exports=Tm});var Bne=w((xgt,wne)=>{"use strict";var wje=ji(),yne={default(r,e){return e},checkbox(r,e){throw new Error("checkbox role is not implemented yet")},editable(r,e){throw new Error("editable role is not implemented yet")},expandable(r,e){throw new Error("expandable role is not implemented yet")},heading(r,e){return e.disabled="",e.indicator=[e.indicator," "].find(t=>t!=null),e.message=e.message||"",e},input(r,e){throw new Error("input role is not implemented yet")},option(r,e){return yne.default(r,e)},radio(r,e){throw new Error("radio role is not implemented yet")},separator(r,e){return e.disabled="",e.indicator=[e.indicator," "].find(t=>t!=null),e.message=e.message||r.symbols.line.repeat(5),e},spacer(r,e){return e}};wne.exports=(r,e={})=>{let t=wje.merge({},yne,e.roles);return t[r]||t.default}});var Om=w((Pgt,Sne)=>{"use strict";var Bje=uo(),Qje=Yh(),bje=Bne(),SQ=ji(),{reorder:oT,scrollUp:Sje,scrollDown:vje,isObject:Qne,swap:xje}=SQ,aT=class extends Qje{constructor(e){super(e),this.cursorHide(),this.maxSelected=e.maxSelected||1/0,this.multiple=e.multiple||!1,this.initial=e.initial||0,this.delay=e.delay||0,this.longest=0,this.num=""}async initialize(){typeof this.options.initial=="function"&&(this.initial=await this.options.initial.call(this)),await this.reset(!0),await super.initialize()}async reset(){let{choices:e,initial:t,autofocus:i,suggest:n}=this.options;if(this.state._choices=[],this.state.choices=[],this.choices=await Promise.all(await this.toChoices(e)),this.choices.forEach(s=>s.enabled=!1),typeof n!="function"&&this.selectable.length===0)throw new Error("At least one choice must be selectable");Qne(t)&&(t=Object.keys(t)),Array.isArray(t)?(i!=null&&(this.index=this.findIndex(i)),t.forEach(s=>this.enable(this.find(s))),await this.render()):(i!=null&&(t=i),typeof t=="string"&&(t=this.findIndex(t)),typeof t=="number"&&t>-1&&(this.index=Math.max(0,Math.min(t,this.choices.length)),this.enable(this.find(this.index)))),this.isDisabled(this.focused)&&await this.down()}async toChoices(e,t){this.state.loadingChoices=!0;let i=[],n=0,s=async(o,a)=>{typeof o=="function"&&(o=await o.call(this)),o instanceof Promise&&(o=await o);for(let l=0;l<o.length;l++){let c=o[l]=await this.toChoice(o[l],n++,a);i.push(c),c.choices&&await s(c.choices,c)}return i};return s(e,t).then(o=>(this.state.loadingChoices=!1,o))}async toChoice(e,t,i){if(typeof e=="function"&&(e=await e.call(this,this)),e instanceof Promise&&(e=await e),typeof e=="string"&&(e={name:e}),e.normalized)return e;e.normalized=!0;let n=e.value;if(e=bje(e.role,this.options)(this,e),typeof e.disabled=="string"&&!e.hint&&(e.hint=e.disabled,e.disabled=!0),e.disabled===!0&&e.hint==null&&(e.hint="(disabled)"),e.index!=null)return e;e.name=e.name||e.key||e.title||e.value||e.message,e.message=e.message||e.name||"",e.value=[e.value,e.name].find(this.isValue.bind(this)),e.input="",e.index=t,e.cursor=0,SQ.define(e,"parent",i),e.level=i?i.level+1:1,e.indent==null&&(e.indent=i?i.indent+" ":e.indent||""),e.path=i?i.path+"."+e.name:e.name,e.enabled=!!(this.multiple&&!this.isDisabled(e)&&(e.enabled||this.isSelected(e))),this.isDisabled(e)||(this.longest=Math.max(this.longest,Bje.unstyle(e.message).length));let o={...e};return e.reset=(a=o.input,l=o.value)=>{for(let c of Object.keys(o))e[c]=o[c];e.input=a,e.value=l},n==null&&typeof e.initial=="function"&&(e.input=await e.initial.call(this,this.state,e,t)),e}async onChoice(e,t){this.emit("choice",e,t,this),typeof e.onChoice=="function"&&await e.onChoice.call(this,this.state,e,t)}async addChoice(e,t,i){let n=await this.toChoice(e,t,i);return this.choices.push(n),this.index=this.choices.length-1,this.limit=this.choices.length,n}async newItem(e,t,i){let n={name:"New choice name?",editable:!0,newChoice:!0,...e},s=await this.addChoice(n,t,i);return s.updateChoice=()=>{delete s.newChoice,s.name=s.message=s.input,s.input="",s.cursor=0},this.render()}indent(e){return e.indent==null?e.level>1?" ".repeat(e.level-1):"":e.indent}dispatch(e,t){if(this.multiple&&this[t.name])return this[t.name]();this.alert()}focus(e,t){return typeof t!="boolean"&&(t=e.enabled),t&&!e.enabled&&this.selected.length>=this.maxSelected?this.alert():(this.index=e.index,e.enabled=t&&!this.isDisabled(e),e)}space(){return this.multiple?(this.toggle(this.focused),this.render()):this.alert()}a(){if(this.maxSelected<this.choices.length)return this.alert();let e=this.selectable.every(t=>t.enabled);return this.choices.forEach(t=>t.enabled=!e),this.render()}i(){return this.choices.length-this.selected.length>this.maxSelected?this.alert():(this.choices.forEach(e=>e.enabled=!e.enabled),this.render())}g(e=this.focused){return this.choices.some(t=>!!t.parent)?(this.toggle(e.parent&&!e.choices?e.parent:e),this.render()):this.a()}toggle(e,t){if(!e.enabled&&this.selected.length>=this.maxSelected)return this.alert();typeof t!="boolean"&&(t=!e.enabled),e.enabled=t,e.choices&&e.choices.forEach(n=>this.toggle(n,t));let i=e.parent;for(;i;){let n=i.choices.filter(s=>this.isDisabled(s));i.enabled=n.every(s=>s.enabled===!0),i=i.parent}return bne(this,this.choices),this.emit("toggle",e,this),e}enable(e){return this.selected.length>=this.maxSelected?this.alert():(e.enabled=!this.isDisabled(e),e.choices&&e.choices.forEach(this.enable.bind(this)),e)}disable(e){return e.enabled=!1,e.choices&&e.choices.forEach(this.disable.bind(this)),e}number(e){this.num+=e;let t=i=>{let n=Number(i);if(n>this.choices.length-1)return this.alert();let s=this.focused,o=this.choices.find(a=>n===a.index);if(!o.enabled&&this.selected.length>=this.maxSelected)return this.alert();if(this.visible.indexOf(o)===-1){let a=oT(this.choices),l=a.indexOf(o);if(s.index>l){let c=a.slice(l,l+this.limit),u=a.filter(g=>!c.includes(g));this.choices=c.concat(u)}else{let c=l-this.limit+1;this.choices=a.slice(c).concat(a.slice(0,c))}}return this.index=this.choices.indexOf(o),this.toggle(this.focused),this.render()};return clearTimeout(this.numberTimeout),new Promise(i=>{let n=this.choices.length,s=this.num,o=(a=!1,l)=>{clearTimeout(this.numberTimeout),a&&(l=t(s)),this.num="",i(l)};if(s==="0"||s.length===1&&Number(s+"0")>n)return o(!0);if(Number(s)>n)return o(!1,this.alert());this.numberTimeout=setTimeout(()=>o(!0),this.delay)})}home(){return this.choices=oT(this.choices),this.index=0,this.render()}end(){let e=this.choices.length-this.limit,t=oT(this.choices);return this.choices=t.slice(e).concat(t.slice(0,e)),this.index=this.limit-1,this.render()}first(){return this.index=0,this.render()}last(){return this.index=this.visible.length-1,this.render()}prev(){return this.visible.length<=1?this.alert():this.up()}next(){return this.visible.length<=1?this.alert():this.down()}right(){return this.cursor>=this.input.length?this.alert():(this.cursor++,this.render())}left(){return this.cursor<=0?this.alert():(this.cursor--,this.render())}up(){let e=this.choices.length,t=this.visible.length,i=this.index;return this.options.scroll===!1&&i===0?this.alert():e>t&&i===0?this.scrollUp():(this.index=(i-1%e+e)%e,this.isDisabled()?this.up():this.render())}down(){let e=this.choices.length,t=this.visible.length,i=this.index;return this.options.scroll===!1&&i===t-1?this.alert():e>t&&i===t-1?this.scrollDown():(this.index=(i+1)%e,this.isDisabled()?this.down():this.render())}scrollUp(e=0){return this.choices=Sje(this.choices),this.index=e,this.isDisabled()?this.up():this.render()}scrollDown(e=this.visible.length-1){return this.choices=vje(this.choices),this.index=e,this.isDisabled()?this.down():this.render()}async shiftUp(){if(this.options.sort===!0){this.sorting=!0,this.swap(this.index-1),await this.up(),this.sorting=!1;return}return this.scrollUp(this.index)}async shiftDown(){if(this.options.sort===!0){this.sorting=!0,this.swap(this.index+1),await this.down(),this.sorting=!1;return}return this.scrollDown(this.index)}pageUp(){return this.visible.length<=1?this.alert():(this.limit=Math.max(this.limit-1,0),this.index=Math.min(this.limit-1,this.index),this._limit=this.limit,this.isDisabled()?this.up():this.render())}pageDown(){return this.visible.length>=this.choices.length?this.alert():(this.index=Math.max(0,this.index),this.limit=Math.min(this.limit+1,this.choices.length),this._limit=this.limit,this.isDisabled()?this.down():this.render())}swap(e){xje(this.choices,this.index,e)}isDisabled(e=this.focused){return e&&["disabled","collapsed","hidden","completing","readonly"].some(i=>e[i]===!0)?!0:e&&e.role==="heading"}isEnabled(e=this.focused){if(Array.isArray(e))return e.every(t=>this.isEnabled(t));if(e.choices){let t=e.choices.filter(i=>!this.isDisabled(i));return e.enabled&&t.every(i=>this.isEnabled(i))}return e.enabled&&!this.isDisabled(e)}isChoice(e,t){return e.name===t||e.index===Number(t)}isSelected(e){return Array.isArray(this.initial)?this.initial.some(t=>this.isChoice(e,t)):this.isChoice(e,this.initial)}map(e=[],t="value"){return[].concat(e||[]).reduce((i,n)=>(i[n]=this.find(n,t),i),{})}filter(e,t){let n=typeof e=="function"?e:(a,l)=>[a.name,l].includes(e),o=(this.options.multiple?this.state._choices:this.choices).filter(n);return t?o.map(a=>a[t]):o}find(e,t){if(Qne(e))return t?e[t]:e;let n=typeof e=="function"?e:(o,a)=>[o.name,a].includes(e),s=this.choices.find(n);if(s)return t?s[t]:s}findIndex(e){return this.choices.indexOf(this.find(e))}async submit(){let e=this.focused;if(!e)return this.alert();if(e.newChoice)return e.input?(e.updateChoice(),this.render()):this.alert();if(this.choices.some(o=>o.newChoice))return this.alert();let{reorder:t,sort:i}=this.options,n=this.multiple===!0,s=this.selected;return s===void 0?this.alert():(Array.isArray(s)&&t!==!1&&i!==!0&&(s=SQ.reorder(s)),this.value=n?s.map(o=>o.name):s.name,super.submit())}set choices(e=[]){this.state._choices=this.state._choices||[],this.state.choices=e;for(let t of e)this.state._choices.some(i=>i.name===t.name)||this.state._choices.push(t);if(!this._initial&&this.options.initial){this._initial=!0;let t=this.initial;if(typeof t=="string"||typeof t=="number"){let i=this.find(t);i&&(this.initial=i.index,this.focus(i,!0))}}}get choices(){return bne(this,this.state.choices||[])}set visible(e){this.state.visible=e}get visible(){return(this.state.visible||this.choices).slice(0,this.limit)}set limit(e){this.state.limit=e}get limit(){let{state:e,options:t,choices:i}=this,n=e.limit||this._limit||t.limit||i.length;return Math.min(n,this.height)}set value(e){super.value=e}get value(){return typeof super.value!="string"&&super.value===this.initial?this.input:super.value}set index(e){this.state.index=e}get index(){return Math.max(0,this.state?this.state.index:0)}get enabled(){return this.filter(this.isEnabled.bind(this))}get focused(){let e=this.choices[this.index];return e&&this.state.submitted&&this.multiple!==!0&&(e.enabled=!0),e}get selectable(){return this.choices.filter(e=>!this.isDisabled(e))}get selected(){return this.multiple?this.enabled:this.focused}};function bne(r,e){if(e instanceof Promise)return e;if(typeof e=="function"){if(SQ.isAsyncFn(e))return e;e=e.call(r,r)}for(let t of e){if(Array.isArray(t.choices)){let i=t.choices.filter(n=>!r.isDisabled(n));t.enabled=i.every(n=>n.enabled===!0)}r.isDisabled(t)===!0&&delete t.enabled}return e}Sne.exports=aT});var dl=w((Dgt,vne)=>{"use strict";var Pje=Om(),AT=ji(),lT=class extends Pje{constructor(e){super(e),this.emptyError=this.options.emptyError||"No items were selected"}async dispatch(e,t){if(this.multiple)return this[t.name]?await this[t.name](e,t):await super.dispatch(e,t);this.alert()}separator(){if(this.options.separator)return super.separator();let e=this.styles.muted(this.symbols.ellipsis);return this.state.submitted?super.separator():e}pointer(e,t){return!this.multiple||this.options.pointer?super.pointer(e,t):""}indicator(e,t){return this.multiple?super.indicator(e,t):""}choiceMessage(e,t){let i=this.resolve(e.message,this.state,e,t);return e.role==="heading"&&!AT.hasColor(i)&&(i=this.styles.strong(i)),this.resolve(i,this.state,e,t)}choiceSeparator(){return":"}async renderChoice(e,t){await this.onChoice(e,t);let i=this.index===t,n=await this.pointer(e,t),s=await this.indicator(e,t)+(e.pad||""),o=await this.resolve(e.hint,this.state,e,t);o&&!AT.hasColor(o)&&(o=this.styles.muted(o));let a=this.indent(e),l=await this.choiceMessage(e,t),c=()=>[this.margin[3],a+n+s,l,this.margin[1],o].filter(Boolean).join(" ");return e.role==="heading"?c():e.disabled?(AT.hasColor(l)||(l=this.styles.disabled(l)),c()):(i&&(l=this.styles.em(l)),c())}async renderChoices(){if(this.state.loading==="choices")return this.styles.warning("Loading choices");if(this.state.submitted)return"";let e=this.visible.map(async(s,o)=>await this.renderChoice(s,o)),t=await Promise.all(e);t.length||t.push(this.styles.danger("No matching choices"));let i=this.margin[0]+t.join(`
`),n;return this.options.choicesHeader&&(n=await this.resolve(this.options.choicesHeader,this.state)),[n,i].filter(Boolean).join(`
`)}format(){return!this.state.submitted||this.state.cancelled?"":Array.isArray(this.selected)?this.selected.map(e=>this.styles.primary(e.name)).join(", "):this.styles.primary(this.selected.name)}async render(){let{submitted:e,size:t}=this.state,i="",n=await this.header(),s=await this.prefix(),o=await this.separator(),a=await this.message();this.options.promptLine!==!1&&(i=[s,a,o,""].join(" "),this.state.prompt=i);let l=await this.format(),c=await this.error()||await this.hint(),u=await this.renderChoices(),g=await this.footer();l&&(i+=l),c&&!i.includes(c)&&(i+=" "+c),e&&!l&&!u.trim()&&this.multiple&&this.emptyError!=null&&(i+=this.styles.danger(this.emptyError)),this.clear(t),this.write([n,i,u,g].filter(Boolean).join(`
`)),this.write(this.margin[2]),this.restore()}};vne.exports=lT});var Pne=w((kgt,xne)=>{"use strict";var Dje=dl(),kje=(r,e)=>{let t=r.toLowerCase();return i=>{let s=i.toLowerCase().indexOf(t),o=e(i.slice(s,s+t.length));return s>=0?i.slice(0,s)+o+i.slice(s+t.length):i}},cT=class extends Dje{constructor(e){super(e),this.cursorShow()}moveCursor(e){this.state.cursor+=e}dispatch(e){return this.append(e)}space(e){return this.options.multiple?super.space(e):this.append(e)}append(e){let{cursor:t,input:i}=this.state;return this.input=i.slice(0,t)+e+i.slice(t),this.moveCursor(1),this.complete()}delete(){let{cursor:e,input:t}=this.state;return t?(this.input=t.slice(0,e-1)+t.slice(e),this.moveCursor(-1),this.complete()):this.alert()}deleteForward(){let{cursor:e,input:t}=this.state;return t[e]===void 0?this.alert():(this.input=`${t}`.slice(0,e)+`${t}`.slice(e+1),this.complete())}number(e){return this.append(e)}async complete(){this.completing=!0,this.choices=await this.suggest(this.input,this.state._choices),this.state.limit=void 0,this.index=Math.min(Math.max(this.visible.length-1,0),this.index),await this.render(),this.completing=!1}suggest(e=this.input,t=this.state._choices){if(typeof this.options.suggest=="function")return this.options.suggest.call(this,e,t);let i=e.toLowerCase();return t.filter(n=>n.message.toLowerCase().includes(i))}pointer(){return""}format(){if(!this.focused)return this.input;if(this.options.multiple&&this.state.submitted)return this.selected.map(e=>this.styles.primary(e.message)).join(", ");if(this.state.submitted){let e=this.value=this.input=this.focused.value;return this.styles.primary(e)}return this.input}async render(){if(this.state.status!=="pending")return super.render();let e=this.options.highlight?this.options.highlight.bind(this):this.styles.placeholder,t=kje(this.input,e),i=this.choices;this.choices=i.map(n=>({...n,message:t(n.message)})),await super.render(),this.choices=i}submit(){return this.options.multiple&&(this.value=this.selected.map(e=>e.name)),super.submit()}};xne.exports=cT});var gT=w((Rgt,Dne)=>{"use strict";var uT=ji();Dne.exports=(r,e={})=>{r.cursorHide();let{input:t="",initial:i="",pos:n,showCursor:s=!0,color:o}=e,a=o||r.styles.placeholder,l=uT.inverse(r.styles.primary),c=C=>l(r.styles.black(C)),u=t,g=" ",f=c(g);if(r.blink&&r.blink.off===!0&&(c=C=>C,f=""),s&&n===0&&i===""&&t==="")return c(g);if(s&&n===0&&(t===i||t===""))return c(i[0])+a(i.slice(1));i=uT.isPrimitive(i)?`${i}`:"",t=uT.isPrimitive(t)?`${t}`:"";let h=i&&i.startsWith(t)&&i!==t,p=h?c(i[t.length]):f;if(n!==t.length&&s===!0&&(u=t.slice(0,n)+c(t[n])+t.slice(n+1),p=""),s===!1&&(p=""),h){let C=r.styles.unstyle(u+p);return u+p+a(i.slice(C.length))}return u+p}});var vQ=w((Fgt,kne)=>{"use strict";var Rje=uo(),Fje=dl(),Nje=gT(),fT=class extends Fje{constructor(e){super({...e,multiple:!0}),this.type="form",this.initial=this.options.initial,this.align=[this.options.align,"right"].find(t=>t!=null),this.emptyError="",this.values={}}async reset(e){return await super.reset(),e===!0&&(this._index=this.index),this.index=this._index,this.values={},this.choices.forEach(t=>t.reset&&t.reset()),this.render()}dispatch(e){return!!e&&this.append(e)}append(e){let t=this.focused;if(!t)return this.alert();let{cursor:i,input:n}=t;return t.value=t.input=n.slice(0,i)+e+n.slice(i),t.cursor++,this.render()}delete(){let e=this.focused;if(!e||e.cursor<=0)return this.alert();let{cursor:t,input:i}=e;return e.value=e.input=i.slice(0,t-1)+i.slice(t),e.cursor--,this.render()}deleteForward(){let e=this.focused;if(!e)return this.alert();let{cursor:t,input:i}=e;if(i[t]===void 0)return this.alert();let n=`${i}`.slice(0,t)+`${i}`.slice(t+1);return e.value=e.input=n,this.render()}right(){let e=this.focused;return e?e.cursor>=e.input.length?this.alert():(e.cursor++,this.render()):this.alert()}left(){let e=this.focused;return e?e.cursor<=0?this.alert():(e.cursor--,this.render()):this.alert()}space(e,t){return this.dispatch(e,t)}number(e,t){return this.dispatch(e,t)}next(){let e=this.focused;if(!e)return this.alert();let{initial:t,input:i}=e;return t&&t.startsWith(i)&&i!==t?(e.value=e.input=t,e.cursor=e.value.length,this.render()):super.next()}prev(){let e=this.focused;return e?e.cursor===0?super.prev():(e.value=e.input="",e.cursor=0,this.render()):this.alert()}separator(){return""}format(e){return this.state.submitted?"":super.format(e)}pointer(){return""}indicator(e){return e.input?"\u29BF":"\u2299"}async choiceSeparator(e,t){let i=await this.resolve(e.separator,this.state,e,t)||":";return i?" "+this.styles.disabled(i):""}async renderChoice(e,t){await this.onChoice(e,t);let{state:i,styles:n}=this,{cursor:s,initial:o="",name:a,hint:l,input:c=""}=e,{muted:u,submitted:g,primary:f,danger:h}=n,p=l,C=this.index===t,y=e.validate||(()=>!0),B=await this.choiceSeparator(e,t),v=e.message;this.align==="right"&&(v=v.padStart(this.longest+1," ")),this.align==="left"&&(v=v.padEnd(this.longest+1," "));let D=this.values[a]=c||o,L=c?"success":"dark";await y.call(e,D,this.state)!==!0&&(L="danger");let H=n[L],j=H(await this.indicator(e,t))+(e.pad||""),$=this.indent(e),V=()=>[$,j,v+B,c,p].filter(Boolean).join(" ");if(i.submitted)return v=Rje.unstyle(v),c=g(c),p="",V();if(e.format)c=await e.format.call(this,c,e,t);else{let W=this.styles.muted;c=Nje(this,{input:c,initial:o,pos:s,showCursor:C,color:W})}return this.isValue(c)||(c=this.styles.muted(this.symbols.ellipsis)),e.result&&(this.values[a]=await e.result.call(this,D,e,t)),C&&(v=f(v)),e.error?c+=(c?" ":"")+h(e.error.trim()):e.hint&&(c+=(c?" ":"")+u(e.hint.trim())),V()}async submit(){return this.value=this.values,super.base.submit.call(this)}};kne.exports=fT});var hT=w((Ngt,Fne)=>{"use strict";var Lje=vQ(),Tje=()=>{throw new Error("expected prompt to have a custom authenticate method")},Rne=(r=Tje)=>{class e extends Lje{constructor(i){super(i)}async submit(){this.value=await r.call(this,this.values,this.state),super.base.submit.call(this)}static create(i){return Rne(i)}}return e};Fne.exports=Rne()});var Tne=w((Lgt,Lne)=>{"use strict";var Oje=hT();function Mje(r,e){return r.username===this.options.username&&r.password===this.options.password}var Nne=(r=Mje)=>{let e=[{name:"username",message:"username"},{name:"password",message:"password",format(i){return this.options.showPassword?i:(this.state.submitted?this.styles.primary:this.styles.muted)(this.symbols.asterisk.repeat(i.length))}}];class t extends Oje.create(r){constructor(n){super({...n,choices:e})}static create(n){return Nne(n)}}return t};Lne.exports=Nne()});var xQ=w((Tgt,One)=>{"use strict";var Uje=Yh(),{isPrimitive:Kje,hasColor:Hje}=ji(),pT=class extends Uje{constructor(e){super(e),this.cursorHide()}async initialize(){let e=await this.resolve(this.initial,this.state);this.input=await this.cast(e),await super.initialize()}dispatch(e){return this.isValue(e)?(this.input=e,this.submit()):this.alert()}format(e){let{styles:t,state:i}=this;return i.submitted?t.success(e):t.primary(e)}cast(e){return this.isTrue(e)}isTrue(e){return/^[ty1]/i.test(e)}isFalse(e){return/^[fn0]/i.test(e)}isValue(e){return Kje(e)&&(this.isTrue(e)||this.isFalse(e))}async hint(){if(this.state.status==="pending"){let e=await this.element("hint");return Hje(e)?e:this.styles.muted(e)}}async render(){let{input:e,size:t}=this.state,i=await this.prefix(),n=await this.separator(),s=await this.message(),o=this.styles.muted(this.default),a=[i,s,o,n].filter(Boolean).join(" ");this.state.prompt=a;let l=await this.header(),c=this.value=this.cast(e),u=await this.format(c),g=await this.error()||await this.hint(),f=await this.footer();g&&!a.includes(g)&&(u+=" "+g),a+=" "+u,this.clear(t),this.write([l,a,f].filter(Boolean).join(`
`)),this.restore()}set value(e){super.value=e}get value(){return this.cast(super.value)}};One.exports=pT});var Une=w((Ogt,Mne)=>{"use strict";var Gje=xQ(),dT=class extends Gje{constructor(e){super(e),this.default=this.options.default||(this.initial?"(Y/n)":"(y/N)")}};Mne.exports=dT});var Hne=w((Mgt,Kne)=>{"use strict";var Yje=dl(),jje=vQ(),jh=jje.prototype,CT=class extends Yje{constructor(e){super({...e,multiple:!0}),this.align=[this.options.align,"left"].find(t=>t!=null),this.emptyError="",this.values={}}dispatch(e,t){let i=this.focused,n=i.parent||{};return!i.editable&&!n.editable&&(e==="a"||e==="i")?super[e]():jh.dispatch.call(this,e,t)}append(e,t){return jh.append.call(this,e,t)}delete(e,t){return jh.delete.call(this,e,t)}space(e){return this.focused.editable?this.append(e):super.space()}number(e){return this.focused.editable?this.append(e):super.number(e)}next(){return this.focused.editable?jh.next.call(this):super.next()}prev(){return this.focused.editable?jh.prev.call(this):super.prev()}async indicator(e,t){let i=e.indicator||"",n=e.editable?i:super.indicator(e,t);return await this.resolve(n,this.state,e,t)||""}indent(e){return e.role==="heading"?"":e.editable?" ":" "}async renderChoice(e,t){return e.indent="",e.editable?jh.renderChoice.call(this,e,t):super.renderChoice(e,t)}error(){return""}footer(){return this.state.error}async validate(){let e=!0;for(let t of this.choices){if(typeof t.validate!="function"||t.role==="heading")continue;let i=t.parent?this.value[t.parent.name]:this.value;if(t.editable?i=t.value===t.name?t.initial||"":t.value:this.isDisabled(t)||(i=t.enabled===!0),e=await t.validate(i,this.state),e!==!0)break}return e!==!0&&(this.state.error=typeof e=="string"?e:"Invalid Input"),e}submit(){if(this.focused.newChoice===!0)return super.submit();if(this.choices.some(e=>e.newChoice))return this.alert();this.value={};for(let e of this.choices){let t=e.parent?this.value[e.parent.name]:this.value;if(e.role==="heading"){this.value[e.name]={};continue}e.editable?t[e.name]=e.value===e.name?e.initial||"":e.value:this.isDisabled(e)||(t[e.name]=e.enabled===!0)}return this.base.submit.call(this)}};Kne.exports=CT});var au=w((Ugt,Gne)=>{"use strict";var qje=Yh(),Jje=gT(),{isPrimitive:Wje}=ji(),mT=class extends qje{constructor(e){super(e),this.initial=Wje(this.initial)?String(this.initial):"",this.initial&&this.cursorHide(),this.state.prevCursor=0,this.state.clipboard=[]}async keypress(e,t={}){let i=this.state.prevKeypress;return this.state.prevKeypress=t,this.options.multiline===!0&&t.name==="return"&&(!i||i.name!=="return")?this.append(`
`,t):super.keypress(e,t)}moveCursor(e){this.cursor+=e}reset(){return this.input=this.value="",this.cursor=0,this.render()}dispatch(e,t){if(!e||t.ctrl||t.code)return this.alert();this.append(e)}append(e){let{cursor:t,input:i}=this.state;this.input=`${i}`.slice(0,t)+e+`${i}`.slice(t),this.moveCursor(String(e).length),this.render()}insert(e){this.append(e)}delete(){let{cursor:e,input:t}=this.state;if(e<=0)return this.alert();this.input=`${t}`.slice(0,e-1)+`${t}`.slice(e),this.moveCursor(-1),this.render()}deleteForward(){let{cursor:e,input:t}=this.state;if(t[e]===void 0)return this.alert();this.input=`${t}`.slice(0,e)+`${t}`.slice(e+1),this.render()}cutForward(){let e=this.cursor;if(this.input.length<=e)return this.alert();this.state.clipboard.push(this.input.slice(e)),this.input=this.input.slice(0,e),this.render()}cutLeft(){let e=this.cursor;if(e===0)return this.alert();let t=this.input.slice(0,e),i=this.input.slice(e),n=t.split(" ");this.state.clipboard.push(n.pop()),this.input=n.join(" "),this.cursor=this.input.length,this.input+=i,this.render()}paste(){if(!this.state.clipboard.length)return this.alert();this.insert(this.state.clipboard.pop()),this.render()}toggleCursor(){this.state.prevCursor?(this.cursor=this.state.prevCursor,this.state.prevCursor=0):(this.state.prevCursor=this.cursor,this.cursor=0),this.render()}first(){this.cursor=0,this.render()}last(){this.cursor=this.input.length-1,this.render()}next(){let e=this.initial!=null?String(this.initial):"";if(!e||!e.startsWith(this.input))return this.alert();this.input=this.initial,this.cursor=this.initial.length,this.render()}prev(){if(!this.input)return this.alert();this.reset()}backward(){return this.left()}forward(){return this.right()}right(){return this.cursor>=this.input.length?this.alert():(this.moveCursor(1),this.render())}left(){return this.cursor<=0?this.alert():(this.moveCursor(-1),this.render())}isValue(e){return!!e}async format(e=this.value){let t=await this.resolve(this.initial,this.state);return this.state.submitted?this.styles.submitted(e||t):Jje(this,{input:e,initial:t,pos:this.cursor})}async render(){let e=this.state.size,t=await this.prefix(),i=await this.separator(),n=await this.message(),s=[t,n,i].filter(Boolean).join(" ");this.state.prompt=s;let o=await this.header(),a=await this.format(),l=await this.error()||await this.hint(),c=await this.footer();l&&!a.includes(l)&&(a+=" "+l),s+=" "+a,this.clear(e),this.write([o,s,c].filter(Boolean).join(`
`)),this.restore()}};Gne.exports=mT});var jne=w((Kgt,Yne)=>{"use strict";var zje=r=>r.filter((e,t)=>r.lastIndexOf(e)===t),PQ=r=>zje(r).filter(Boolean);Yne.exports=(r,e={},t="")=>{let{past:i=[],present:n=""}=e,s,o;switch(r){case"prev":case"undo":return s=i.slice(0,i.length-1),o=i[i.length-1]||"",{past:PQ([t,...s]),present:o};case"next":case"redo":return s=i.slice(1),o=i[0]||"",{past:PQ([...s,t]),present:o};case"save":return{past:PQ([...i,t]),present:""};case"remove":return o=PQ(i.filter(a=>a!==t)),n="",o.length&&(n=o.pop()),{past:o,present:n};default:throw new Error(`Invalid action: "${r}"`)}}});var IT=w((Hgt,Jne)=>{"use strict";var Vje=au(),qne=jne(),ET=class extends Vje{constructor(e){super(e);let t=this.options.history;if(t&&t.store){let i=t.values||this.initial;this.autosave=!!t.autosave,this.store=t.store,this.data=this.store.get("values")||{past:[],present:i},this.initial=this.data.present||this.data.past[this.data.past.length-1]}}completion(e){return this.store?(this.data=qne(e,this.data,this.input),this.data.present?(this.input=this.data.present,this.cursor=this.input.length,this.render()):this.alert()):this.alert()}altUp(){return this.completion("prev")}altDown(){return this.completion("next")}prev(){return this.save(),super.prev()}save(){!this.store||(this.data=qne("save",this.data,this.input),this.store.set("values",this.data))}submit(){return this.store&&this.autosave===!0&&this.save(),super.submit()}};Jne.exports=ET});var zne=w((Ggt,Wne)=>{"use strict";var Xje=au(),yT=class extends Xje{format(){return""}};Wne.exports=yT});var Xne=w((Ygt,Vne)=>{"use strict";var Zje=au(),wT=class extends Zje{constructor(e={}){super(e),this.sep=this.options.separator||/, */,this.initial=e.initial||""}split(e=this.value){return e?String(e).split(this.sep):[]}format(){let e=this.state.submitted?this.styles.primary:t=>t;return this.list.map(e).join(", ")}async submit(e){let t=this.state.error||await this.validate(this.list,this.state);return t!==!0?(this.state.error=t,super.submit()):(this.value=this.list,super.submit())}get list(){return this.split()}};Vne.exports=wT});var _ne=w((jgt,Zne)=>{"use strict";var _je=dl(),BT=class extends _je{constructor(e){super({...e,multiple:!0})}};Zne.exports=BT});var bT=w((qgt,$ne)=>{"use strict";var $je=au(),QT=class extends $je{constructor(e={}){super({style:"number",...e}),this.min=this.isValue(e.min)?this.toNumber(e.min):-1/0,this.max=this.isValue(e.max)?this.toNumber(e.max):1/0,this.delay=e.delay!=null?e.delay:1e3,this.float=e.float!==!1,this.round=e.round===!0||e.float===!1,this.major=e.major||10,this.minor=e.minor||1,this.initial=e.initial!=null?e.initial:"",this.input=String(this.initial),this.cursor=this.input.length,this.cursorShow()}append(e){return!/[-+.]/.test(e)||e==="."&&this.input.includes(".")?this.alert("invalid number"):super.append(e)}number(e){return super.append(e)}next(){return this.input&&this.input!==this.initial?this.alert():this.isValue(this.initial)?(this.input=this.initial,this.cursor=String(this.initial).length,this.render()):this.alert()}up(e){let t=e||this.minor,i=this.toNumber(this.input);return i>this.max+t?this.alert():(this.input=`${i+t}`,this.render())}down(e){let t=e||this.minor,i=this.toNumber(this.input);return i<this.min-t?this.alert():(this.input=`${i-t}`,this.render())}shiftDown(){return this.down(this.major)}shiftUp(){return this.up(this.major)}format(e=this.input){return typeof this.options.format=="function"?this.options.format.call(this,e):this.styles.info(e)}toNumber(e=""){return this.float?+e:Math.round(+e)}isValue(e){return/^[-+]?[0-9]+((\.)|(\.[0-9]+))?$/.test(e)}submit(){let e=[this.input,this.initial].find(t=>this.isValue(t));return this.value=this.toNumber(e||0),super.submit()}};$ne.exports=QT});var tse=w((Jgt,ese)=>{ese.exports=bT()});var ise=w((Wgt,rse)=>{"use strict";var eqe=au(),ST=class extends eqe{constructor(e){super(e),this.cursorShow()}format(e=this.input){return this.keypressed?(this.state.submitted?this.styles.primary:this.styles.muted)(this.symbols.asterisk.repeat(e.length)):""}};rse.exports=ST});var ose=w((zgt,sse)=>{"use strict";var tqe=uo(),rqe=Om(),nse=ji(),vT=class extends rqe{constructor(e={}){super(e),this.widths=[].concat(e.messageWidth||50),this.align=[].concat(e.align||"left"),this.linebreak=e.linebreak||!1,this.edgeLength=e.edgeLength||3,this.newline=e.newline||`
`;let t=e.startNumber||1;typeof this.scale=="number"&&(this.scaleKey=!1,this.scale=Array(this.scale).fill(0).map((i,n)=>({name:n+t})))}async reset(){return this.tableized=!1,await super.reset(),this.render()}tableize(){if(this.tableized===!0)return;this.tableized=!0;let e=0;for(let t of this.choices){e=Math.max(e,t.message.length),t.scaleIndex=t.initial||2,t.scale=[];for(let i=0;i<this.scale.length;i++)t.scale.push({index:i})}this.widths[0]=Math.min(this.widths[0],e+3)}async dispatch(e,t){if(this.multiple)return this[t.name]?await this[t.name](e,t):await super.dispatch(e,t);this.alert()}heading(e,t,i){return this.styles.strong(e)}separator(){return this.styles.muted(this.symbols.ellipsis)}right(){let e=this.focused;return e.scaleIndex>=this.scale.length-1?this.alert():(e.scaleIndex++,this.render())}left(){let e=this.focused;return e.scaleIndex<=0?this.alert():(e.scaleIndex--,this.render())}indent(){return""}format(){return this.state.submitted?this.choices.map(t=>this.styles.info(t.index)).join(", "):""}pointer(){return""}renderScaleKey(){return this.scaleKey===!1||this.state.submitted?"":["",...this.scale.map(i=>` ${i.name} - ${i.message}`)].map(i=>this.styles.muted(i)).join(`
`)}renderScaleHeading(e){let t=this.scale.map(l=>l.name);typeof this.options.renderScaleHeading=="function"&&(t=this.options.renderScaleHeading.call(this,e));let i=this.scaleLength-t.join("").length,n=Math.round(i/(t.length-1)),o=t.map(l=>this.styles.strong(l)).join(" ".repeat(n)),a=" ".repeat(this.widths[0]);return this.margin[3]+a+this.margin[1]+o}scaleIndicator(e,t,i){if(typeof this.options.scaleIndicator=="function")return this.options.scaleIndicator.call(this,e,t,i);let n=e.scaleIndex===t.index;return t.disabled?this.styles.hint(this.symbols.radio.disabled):n?this.styles.success(this.symbols.radio.on):this.symbols.radio.off}renderScale(e,t){let i=e.scale.map(s=>this.scaleIndicator(e,s,t)),n=this.term==="Hyper"?"":" ";return i.join(n+this.symbols.line.repeat(this.edgeLength))}async renderChoice(e,t){await this.onChoice(e,t);let i=this.index===t,n=await this.pointer(e,t),s=await e.hint;s&&!nse.hasColor(s)&&(s=this.styles.muted(s));let o=p=>this.margin[3]+p.replace(/\s+$/,"").padEnd(this.widths[0]," "),a=this.newline,l=this.indent(e),c=await this.resolve(e.message,this.state,e,t),u=await this.renderScale(e,t),g=this.margin[1]+this.margin[3];this.scaleLength=tqe.unstyle(u).length,this.widths[0]=Math.min(this.widths[0],this.width-this.scaleLength-g.length);let h=nse.wordWrap(c,{width:this.widths[0],newline:a}).split(`
`).map(p=>o(p)+this.margin[1]);return i&&(u=this.styles.info(u),h=h.map(p=>this.styles.info(p))),h[0]+=u,this.linebreak&&h.push(""),[l+n,h.join(`
`)].filter(Boolean)}async renderChoices(){if(this.state.submitted)return"";this.tableize();let e=this.visible.map(async(n,s)=>await this.renderChoice(n,s)),t=await Promise.all(e),i=await this.renderScaleHeading();return this.margin[0]+[i,...t.map(n=>n.join(" "))].join(`
`)}async render(){let{submitted:e,size:t}=this.state,i=await this.prefix(),n=await this.separator(),s=await this.message(),o="";this.options.promptLine!==!1&&(o=[i,s,n,""].join(" "),this.state.prompt=o);let a=await this.header(),l=await this.format(),c=await this.renderScaleKey(),u=await this.error()||await this.hint(),g=await this.renderChoices(),f=await this.footer(),h=this.emptyError;l&&(o+=l),u&&!o.includes(u)&&(o+=" "+u),e&&!l&&!g.trim()&&this.multiple&&h!=null&&(o+=this.styles.danger(h)),this.clear(t),this.write([a,o,c,g,f].filter(Boolean).join(`
`)),this.state.submitted||this.write(this.margin[2]),this.restore()}submit(){this.value={};for(let e of this.choices)this.value[e.name]=e.scaleIndex;return this.base.submit.call(this)}};sse.exports=vT});var lse=w((Vgt,Ase)=>{"use strict";var ase=uo(),iqe=(r="")=>typeof r=="string"?r.replace(/^['"]|['"]$/g,""):"",PT=class{constructor(e){this.name=e.key,this.field=e.field||{},this.value=iqe(e.initial||this.field.initial||""),this.message=e.message||this.name,this.cursor=0,this.input="",this.lines=[]}},nqe=async(r={},e={},t=i=>i)=>{let i=new Set,n=r.fields||[],s=r.template,o=[],a=[],l=[],c=1;typeof s=="function"&&(s=await s());let u=-1,g=()=>s[++u],f=()=>s[u+1],h=p=>{p.line=c,o.push(p)};for(h({type:"bos",value:""});u<s.length-1;){let p=g();if(/^[^\S\n ]$/.test(p)){h({type:"text",value:p});continue}if(p===`
`){h({type:"newline",value:p}),c++;continue}if(p==="\\"){p+=g(),h({type:"text",value:p});continue}if((p==="$"||p==="#"||p==="{")&&f()==="{"){let y=g();p+=y;let B={type:"template",open:p,inner:"",close:"",value:p},v;for(;v=g();){if(v==="}"){f()==="}"&&(v+=g()),B.value+=v,B.close=v;break}v===":"?(B.initial="",B.key=B.inner):B.initial!==void 0&&(B.initial+=v),B.value+=v,B.inner+=v}B.template=B.open+(B.initial||B.inner)+B.close,B.key=B.key||B.inner,e.hasOwnProperty(B.key)&&(B.initial=e[B.key]),B=t(B),h(B),l.push(B.key),i.add(B.key);let D=a.find(L=>L.name===B.key);B.field=n.find(L=>L.name===B.key),D||(D=new PT(B),a.push(D)),D.lines.push(B.line-1);continue}let C=o[o.length-1];C.type==="text"&&C.line===c?C.value+=p:h({type:"text",value:p})}return h({type:"eos",value:""}),{input:s,tabstops:o,unique:i,keys:l,items:a}};Ase.exports=async r=>{let e=r.options,t=new Set(e.required===!0?[]:e.required||[]),i={...e.values,...e.initial},{tabstops:n,items:s,keys:o}=await nqe(e,i),a=xT("result",r,e),l=xT("format",r,e),c=xT("validate",r,e,!0),u=r.isValue.bind(r);return async(g={},f=!1)=>{let h=0;g.required=t,g.items=s,g.keys=o,g.output="";let p=async(v,D,L,H)=>{let j=await c(v,D,L,H);return j===!1?"Invalid field "+L.name:j};for(let v of n){let D=v.value,L=v.key;if(v.type!=="template"){D&&(g.output+=D);continue}if(v.type==="template"){let H=s.find(_=>_.name===L);e.required===!0&&g.required.add(H.name);let j=[H.input,g.values[H.value],H.value,D].find(u),V=(H.field||{}).message||v.inner;if(f){let _=await p(g.values[L],g,H,h);if(_&&typeof _=="string"||_===!1){g.invalid.set(L,_);continue}g.invalid.delete(L);let A=await a(g.values[L],g,H,h);g.output+=ase.unstyle(A);continue}H.placeholder=!1;let W=D;D=await l(D,g,H,h),j!==D?(g.values[L]=j,D=r.styles.typing(j),g.missing.delete(V)):(g.values[L]=void 0,j=`<${V}>`,D=r.styles.primary(j),H.placeholder=!0,g.required.has(L)&&g.missing.add(V)),g.missing.has(V)&&g.validating&&(D=r.styles.warning(j)),g.invalid.has(L)&&g.validating&&(D=r.styles.danger(j)),h===g.index&&(W!==D?D=r.styles.underline(D):D=r.styles.heading(ase.unstyle(D))),h++}D&&(g.output+=D)}let C=g.output.split(`
`).map(v=>" "+v),y=s.length,B=0;for(let v of s)g.invalid.has(v.name)&&v.lines.forEach(D=>{C[D][0]===" "&&(C[D]=g.styles.danger(g.symbols.bullet)+C[D].slice(1))}),r.isValue(g.values[v.name])&&B++;return g.completed=(B/y*100).toFixed(0),g.output=C.join(`
`),g.output}};function xT(r,e,t,i){return(n,s,o,a)=>typeof o.field[r]=="function"?o.field[r].call(e,n,s,o,a):[i,n].find(l=>e.isValue(l))}});var use=w((Xgt,cse)=>{"use strict";var sqe=uo(),oqe=lse(),aqe=Yh(),DT=class extends aqe{constructor(e){super(e),this.cursorHide(),this.reset(!0)}async initialize(){this.interpolate=await oqe(this),await super.initialize()}async reset(e){this.state.keys=[],this.state.invalid=new Map,this.state.missing=new Set,this.state.completed=0,this.state.values={},e!==!0&&(await this.initialize(),await this.render())}moveCursor(e){let t=this.getItem();this.cursor+=e,t.cursor+=e}dispatch(e,t){if(!t.code&&!t.ctrl&&e!=null&&this.getItem()){this.append(e,t);return}this.alert()}append(e,t){let i=this.getItem(),n=i.input.slice(0,this.cursor),s=i.input.slice(this.cursor);this.input=i.input=`${n}${e}${s}`,this.moveCursor(1),this.render()}delete(){let e=this.getItem();if(this.cursor<=0||!e.input)return this.alert();let t=e.input.slice(this.cursor),i=e.input.slice(0,this.cursor-1);this.input=e.input=`${i}${t}`,this.moveCursor(-1),this.render()}increment(e){return e>=this.state.keys.length-1?0:e+1}decrement(e){return e<=0?this.state.keys.length-1:e-1}first(){this.state.index=0,this.render()}last(){this.state.index=this.state.keys.length-1,this.render()}right(){if(this.cursor>=this.input.length)return this.alert();this.moveCursor(1),this.render()}left(){if(this.cursor<=0)return this.alert();this.moveCursor(-1),this.render()}prev(){this.state.index=this.decrement(this.state.index),this.getItem(),this.render()}next(){this.state.index=this.increment(this.state.index),this.getItem(),this.render()}up(){this.prev()}down(){this.next()}format(e){let t=this.state.completed<100?this.styles.warning:this.styles.success;return this.state.submitted===!0&&this.state.completed!==100&&(t=this.styles.danger),t(`${this.state.completed}% completed`)}async render(){let{index:e,keys:t=[],submitted:i,size:n}=this.state,s=[this.options.newline,`
`].find(v=>v!=null),o=await this.prefix(),a=await this.separator(),l=await this.message(),c=[o,l,a].filter(Boolean).join(" ");this.state.prompt=c;let u=await this.header(),g=await this.error()||"",f=await this.hint()||"",h=i?"":await this.interpolate(this.state),p=this.state.key=t[e]||"",C=await this.format(p),y=await this.footer();C&&(c+=" "+C),f&&!C&&this.state.completed===0&&(c+=" "+f),this.clear(n);let B=[u,c,h,y,g.trim()];this.write(B.filter(Boolean).join(s)),this.restore()}getItem(e){let{items:t,keys:i,index:n}=this.state,s=t.find(o=>o.name===i[n]);return s&&s.input!=null&&(this.input=s.input,this.cursor=s.cursor),s}async submit(){typeof this.interpolate!="function"&&await this.initialize(),await this.interpolate(this.state,!0);let{invalid:e,missing:t,output:i,values:n}=this.state;if(e.size){let a="";for(let[l,c]of e)a+=`Invalid ${l}: ${c}
`;return this.state.error=a,super.submit()}if(t.size)return this.state.error="Required: "+[...t.keys()].join(", "),super.submit();let o=sqe.unstyle(i).split(`
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","base64")).toString()),UO)});var ale=w((tBt,ole)=>{var zO=Symbol("arg flag"),kn=class extends Error{constructor(e,t){super(e),this.name="ArgError",this.code=t,Object.setPrototypeOf(this,kn.prototype)}};function uE(r,{argv:e=process.argv.slice(2),permissive:t=!1,stopAtPositional:i=!1}={}){if(!r)throw new kn("argument specification object is required","ARG_CONFIG_NO_SPEC");let n={_:[]},s={},o={};for(let a of Object.keys(r)){if(!a)throw new kn("argument key cannot be an empty string","ARG_CONFIG_EMPTY_KEY");if(a[0]!=="-")throw new kn(`argument key must start with '-' but found: '${a}'`,"ARG_CONFIG_NONOPT_KEY");if(a.length===1)throw new kn(`argument key must have a name; singular '-' keys are not allowed: ${a}`,"ARG_CONFIG_NONAME_KEY");if(typeof r[a]=="string"){s[a]=r[a];continue}let l=r[a],c=!1;if(Array.isArray(l)&&l.length===1&&typeof l[0]=="function"){let[u]=l;l=(g,f,h=[])=>(h.push(u(g,f,h[h.length-1])),h),c=u===Boolean||u[zO]===!0}else if(typeof l=="function")c=l===Boolean||l[zO]===!0;else throw new kn(`type missing or not a function or valid array type: ${a}`,"ARG_CONFIG_VAD_TYPE");if(a[1]!=="-"&&a.length>2)throw new kn(`short argument keys (with a single hyphen) must have only one character: ${a}`,"ARG_CONFIG_SHORTOPT_TOOLONG");o[a]=[l,c]}for(let a=0,l=e.length;a<l;a++){let c=e[a];if(i&&n._.length>0){n._=n._.concat(e.slice(a));break}if(c==="--"){n._=n._.concat(e.slice(a+1));break}if(c.length>1&&c[0]==="-"){let u=c[1]==="-"||c.length===2?[c]:c.slice(1).split("").map(g=>`-${g}`);for(let g=0;g<u.length;g++){let f=u[g],[h,p]=f[1]==="-"?f.split(/=(.*)/,2):[f,void 0],C=h;for(;C in s;)C=s[C];if(!(C in o))if(t){n._.push(f);continue}else throw new kn(`unknown or unexpected option: ${h}`,"ARG_UNKNOWN_OPTION");let[y,B]=o[C];if(!B&&g+1<u.length)throw new kn(`option requires argument (but was followed by another short argument): ${h}`,"ARG_MISSING_REQUIRED_SHORTARG");if(B)n[C]=y(!0,C,n[C]);else if(p===void 0){if(e.length<a+2||e[a+1].length>1&&e[a+1][0]==="-"&&!(e[a+1].match(/^-?\d*(\.(?=\d))?\d*$/)&&(y===Number||typeof BigInt<"u"&&y===BigInt))){let v=h===C?"":` (alias for ${C})`;throw new kn(`option requires argument: ${h}${v}`,"ARG_MISSING_REQUIRED_LONGARG")}n[C]=y(e[a+1],C,n[C]),++a}else n[C]=y(p,C,n[C])}}else n._.push(c)}return n}uE.flag=r=>(r[zO]=!0,r);uE.COUNT=uE.flag((r,e,t)=>(t||0)+1);uE.ArgError=kn;ole.exports=uE});var mle=w((kBt,Cle)=>{var _O;Cle.exports=()=>(typeof 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n;return r>0?n=Mce(r,e):n=null,n===null?(e.needReadable=e.length<=e.highWaterMark,r=0):(e.length-=r,e.awaitDrain=0),e.length===0&&(e.ended||(e.needReadable=!0),t!==r&&e.ended&&YM(this)),n!==null&&this.emit("data",n),n};function D6e(r,e){if(Dt("onEofChunk"),!e.ended){if(e.decoder){var t=e.decoder.end();t&&t.length&&(e.buffer.push(t),e.length+=e.objectMode?1:t.length)}e.ended=!0,e.sync?vb(r):(e.needReadable=!1,e.emittedReadable||(e.emittedReadable=!0,Tce(r)))}}function vb(r){var e=r._readableState;Dt("emitReadable",e.needReadable,e.emittedReadable),e.needReadable=!1,e.emittedReadable||(Dt("emitReadable",e.flowing),e.emittedReadable=!0,process.nextTick(Tce,r))}function Tce(r){var e=r._readableState;Dt("emitReadable_",e.destroyed,e.length,e.ended),!e.destroyed&&(e.length||e.ended)&&(r.emit("readable"),e.emittedReadable=!1),e.needReadable=!e.flowing&&!e.ended&&e.length<=e.highWaterMark,JM(r)}function jM(r,e){e.readingMore||(e.readingMore=!0,process.nextTick(k6e,r,e))}function 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0},ownKeys(r){return Object.keys(r.__specs)},get(r,e){return typeof e=="symbol"||e.slice(0,2)==="__"||e in Xu.prototype?r[e]:r.get(e)},set(r,e,t){if(typeof e=="symbol"||e.slice(0,2)==="__")return r[e]=t,!0;throw new Error("figgyPudding options cannot be modified. 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Found: ${r.length}`);throw a.code="EBADSIZE",a.found=r.length,a.expected=t.size,a.sri=e,a}else{let a=new Error(`Integrity checksum failed when using ${i}: Wanted ${e}, but got ${s}. (${r.length} bytes)`);throw a.code="EINTEGRITY",a.found=s,a.expected=e,a.algorithm=i,a.sri=e,a}}ua.exports.checkStream=GVe;function GVe(r,e,t){t=an(t);let i=t.Promise||Promise,n=l1(t.concat({integrity:e}));return new i((s,o)=>{r.pipe(n),r.on("error",o),n.on("error",o);let a;n.on("verified",l=>{a=l}),n.on("end",()=>s(a)),n.on("data",()=>{})})}ua.exports.integrityStream=l1;function l1(r){r=an(r);let e=r.integrity&&ca(r.integrity,r),t=e&&Object.keys(e).length,i=t&&e.pickAlgorithm(r),n=t&&e[i],s=Array.from(new Set(r.algorithms.concat(i?[i]:[]))),o=s.map(PE.createHash),a=0,l=new FVe({transform(c,u,g){a+=c.length,o.forEach(f=>f.update(c,u)),g(null,c,u)}}).on("end",()=>{let c=r.options&&r.options.length?`?${r.options.join("?")}`:"",u=ca(o.map((f,h)=>`${s[h]}-${f.digest("base64")}${c}`).join(" "),r),g=t&&u.match(e,r);if(typeof r.size=="number"&&a!==r.size){let f=new Error(`stream size mismatch when checking ${e}.
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Found: ${a}`);f.code="EBADSIZE",f.found=a,f.expected=r.size,f.sri=e,l.emit("error",f)}else if(r.integrity&&!g){let f=new Error(`${e} integrity checksum failed when using ${i}: wanted ${n} but got ${u}. 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sm={};ut(sm,{BuildType:()=>O0,Cache:()=>Rt,Configuration:()=>ye,DEFAULT_LOCK_FILENAME:()=>ok,DEFAULT_RC_FILENAME:()=>sk,FormatType:()=>xi,InstallMode:()=>es,LightReport:()=>ra,LinkType:()=>Ef,Manifest:()=>ot,MessageName:()=>Ct,MultiFetcher:()=>Df,PackageExtensionStatus:()=>Xx,PackageExtensionType:()=>Vx,Project:()=>je,ProjectLookup:()=>ck,Report:()=>vi,ReportError:()=>at,SettingsType:()=>ak,StreamReport:()=>Ge,TAG_REGEXP:()=>Rf,TelemetryManager:()=>Sh,ThrowReport:()=>ti,VirtualFetcher:()=>Ff,Workspace:()=>bh,WorkspaceFetcher:()=>Lf,WorkspaceResolver:()=>jr,YarnVersion:()=>Lr,execUtils:()=>Cr,folderUtils:()=>Lw,formatUtils:()=>ee,hashUtils:()=>li,httpUtils:()=>Xt,miscUtils:()=>Ie,nodeUtils:()=>ws,parseMessageName:()=>TI,scriptUtils:()=>Wt,semverUtils:()=>vt,stringifyMessageName:()=>FA,structUtils:()=>P,tgzUtils:()=>mi,treeUtils:()=>$n});var Cr={};ut(Cr,{EndStrategy:()=>hk,ExecError:()=>Yw,PipeError:()=>dC,execvp:()=>tk,pipevp:()=>Wo});var 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Oe={root:"/",dot:".",parent:".."},xt={nodeModules:"node_modules",manifest:"package.json",lockfile:"yarn.lock",virtual:"__virtual__",pnpJs:".pnp.js",pnpCjs:".pnp.cjs",rc:".yarnrc.yml"},U=Object.create(Mp.default),x=Object.create(Mp.default.posix);U.cwd=()=>process.cwd();x.cwd=()=>fS(process.cwd());x.resolve=(...r)=>r.length>0&&x.isAbsolute(r[0])?Mp.default.posix.resolve(...r):Mp.default.posix.resolve(x.cwd(),...r);var nU=function(r,e,t){return e=r.normalize(e),t=r.normalize(t),e===t?".":(e.endsWith(r.sep)||(e=e+r.sep),t.startsWith(e)?t.slice(e.length):null)};U.fromPortablePath=sU;U.toPortablePath=fS;U.contains=(r,e)=>nU(U,r,e);x.contains=(r,e)=>nU(x,r,e);var Nge=/^([a-zA-Z]:.*)$/,Lge=/^\/\/(\.\/)?(.*)$/,Tge=/^\/([a-zA-Z]:.*)$/,Oge=/^\/unc\/(\.dot\/)?(.*)$/;function sU(r){if(process.platform!=="win32")return r;let e,t;if(e=r.match(Tge))r=e[1];else if(t=r.match(Oge))r=`\\\\${t[1]?".\\":""}${t[2]}`;else return r;return r.replace(/\//g,"\\")}function 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i;try{i=this.lstatSync(e)}catch(n){if(n.code==="ENOENT")return;throw n}if(i.isDirectory()){if(t)for(let n of this.readdirSync(e))this.removeSync(this.pathUtils.resolve(e,n));this.rmdirSync(e)}else this.unlinkSync(e)}async mkdirpPromise(e,{chmod:t,utimes:i}={}){if(e=this.resolve(e),e===this.pathUtils.dirname(e))return;let n=e.split(this.pathUtils.sep),s;for(let o=2;o<=n.length;++o){let a=n.slice(0,o).join(this.pathUtils.sep);if(!this.existsSync(a)){try{await this.mkdirPromise(a)}catch(l){if(l.code==="EEXIST")continue;throw l}if(s!=null||(s=a),t!=null&&await this.chmodPromise(a,t),i!=null)await this.utimesPromise(a,i[0],i[1]);else{let l=await this.statPromise(this.pathUtils.dirname(a));await this.utimesPromise(a,l.atime,l.mtime)}}}return s}mkdirpSync(e,{chmod:t,utimes:i}={}){if(e=this.resolve(e),e===this.pathUtils.dirname(e))return;let n=e.split(this.pathUtils.sep),s;for(let o=2;o<=n.length;++o){let 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s="";try{s=this.readFileSync(e,"utf8")}catch{}let o=i?Vl(s,t):t;s!==o&&this.writeFileSync(e,o,{mode:n})}async movePromise(e,t){try{await this.renamePromise(e,t)}catch(i){if(i.code==="EXDEV")await this.copyPromise(t,e),await this.removePromise(e);else throw i}}moveSync(e,t){try{this.renameSync(e,t)}catch(i){if(i.code==="EXDEV")this.copySync(t,e),this.removeSync(e);else throw i}}async lockPromise(e,t){let i=`${e}.flock`,n=1e3/60,s=Date.now(),o=null,a=async()=>{let l;try{[l]=await this.readJsonPromise(i)}catch{return Date.now()-s<500}try{return process.kill(l,0),!0}catch{return!1}};for(;o===null;)try{o=await this.openPromise(i,"wx")}catch(l){if(l.code==="EEXIST"){if(!await a())try{await this.unlinkPromise(i);continue}catch{}if(Date.now()-s<60*1e3)await new Promise(c=>setTimeout(c,n));else throw new Error(`Couldn't acquire a lock in a reasonable time (via ${i})`)}else throw l}await this.writePromise(o,JSON.stringify([process.pid]));try{return await t()}finally{try{await 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`}function Vl(r,e){return e.replace(/\r?\n/g,Yge(r))}var bg=J("fs"),IS=J("stream"),hU=J("util"),yS=Pe(J("zlib"));var uU=Pe(J("fs"));var $t=class extends xA{constructor(t=uU.default){super();this.realFs=t,typeof this.realFs.lutimes<"u"&&(this.lutimesPromise=this.lutimesPromiseImpl,this.lutimesSync=this.lutimesSyncImpl)}getExtractHint(){return!1}getRealPath(){return Oe.root}resolve(t){return x.resolve(t)}async openPromise(t,i,n){return await new Promise((s,o)=>{this.realFs.open(U.fromPortablePath(t),i,n,this.makeCallback(s,o))})}openSync(t,i,n){return this.realFs.openSync(U.fromPortablePath(t),i,n)}async opendirPromise(t,i){return await new Promise((n,s)=>{typeof i<"u"?this.realFs.opendir(U.fromPortablePath(t),i,this.makeCallback(n,s)):this.realFs.opendir(U.fromPortablePath(t),this.makeCallback(n,s))}).then(n=>Object.defineProperty(n,"path",{value:t,configurable:!0,writable:!0}))}opendirSync(t,i){let n=typeof i<"u"?this.realFs.opendirSync(U.fromPortablePath(t),i):this.realFs.opendirSync(U.fromPortablePath(t));return Object.defineProperty(n,"path",{value:t,configurable:!0,writable:!0})}async readPromise(t,i,n=0,s=0,o=-1){return await new Promise((a,l)=>{this.realFs.read(t,i,n,s,o,(c,u)=>{c?l(c):a(u)})})}readSync(t,i,n,s,o){return this.realFs.readSync(t,i,n,s,o)}async writePromise(t,i,n,s,o){return await new Promise((a,l)=>typeof i=="string"?this.realFs.write(t,i,n,this.makeCallback(a,l)):this.realFs.write(t,i,n,s,o,this.makeCallback(a,l)))}writeSync(t,i,n,s,o){return typeof i=="string"?this.realFs.writeSync(t,i,n):this.realFs.writeSync(t,i,n,s,o)}async closePromise(t){await new Promise((i,n)=>{this.realFs.close(t,this.makeCallback(i,n))})}closeSync(t){this.realFs.closeSync(t)}createReadStream(t,i){let n=t!==null?U.fromPortablePath(t):t;return this.realFs.createReadStream(n,i)}createWriteStream(t,i){let n=t!==null?U.fromPortablePath(t):t;return this.realFs.createWriteStream(n,i)}async realpathPromise(t){return await new Promise((i,n)=>{this.realFs.realpath(U.fromPortablePath(t),{},this.makeCallback(i,n))}).then(i=>U.toPortablePath(i))}realpathSync(t){return U.toPortablePath(this.realFs.realpathSync(U.fromPortablePath(t),{}))}async existsPromise(t){return await new Promise(i=>{this.realFs.exists(U.fromPortablePath(t),i)})}accessSync(t,i){return this.realFs.accessSync(U.fromPortablePath(t),i)}async accessPromise(t,i){return await new Promise((n,s)=>{this.realFs.access(U.fromPortablePath(t),i,this.makeCallback(n,s))})}existsSync(t){return this.realFs.existsSync(U.fromPortablePath(t))}async statPromise(t,i){return await new Promise((n,s)=>{i?this.realFs.stat(U.fromPortablePath(t),i,this.makeCallback(n,s)):this.realFs.stat(U.fromPortablePath(t),this.makeCallback(n,s))})}statSync(t,i){return i?this.realFs.statSync(U.fromPortablePath(t),i):this.realFs.statSync(U.fromPortablePath(t))}async fstatPromise(t,i){return await new Promise((n,s)=>{i?this.realFs.fstat(t,i,this.makeCallback(n,s)):this.realFs.fstat(t,this.makeCallback(n,s))})}fstatSync(t,i){return i?this.realFs.fstatSync(t,i):this.realFs.fstatSync(t)}async lstatPromise(t,i){return await new Promise((n,s)=>{i?this.realFs.lstat(U.fromPortablePath(t),i,this.makeCallback(n,s)):this.realFs.lstat(U.fromPortablePath(t),this.makeCallback(n,s))})}lstatSync(t,i){return i?this.realFs.lstatSync(U.fromPortablePath(t),i):this.realFs.lstatSync(U.fromPortablePath(t))}async fchmodPromise(t,i){return await new Promise((n,s)=>{this.realFs.fchmod(t,i,this.makeCallback(n,s))})}fchmodSync(t,i){return this.realFs.fchmodSync(t,i)}async chmodPromise(t,i){return await new Promise((n,s)=>{this.realFs.chmod(U.fromPortablePath(t),i,this.makeCallback(n,s))})}chmodSync(t,i){return this.realFs.chmodSync(U.fromPortablePath(t),i)}async fchownPromise(t,i,n){return await new Promise((s,o)=>{this.realFs.fchown(t,i,n,this.makeCallback(s,o))})}fchownSync(t,i,n){return this.realFs.fchownSync(t,i,n)}async chownPromise(t,i,n){return await new Promise((s,o)=>{this.realFs.chown(U.fromPortablePath(t),i,n,this.makeCallback(s,o))})}chownSync(t,i,n){return this.realFs.chownSync(U.fromPortablePath(t),i,n)}async renamePromise(t,i){return await new Promise((n,s)=>{this.realFs.rename(U.fromPortablePath(t),U.fromPortablePath(i),this.makeCallback(n,s))})}renameSync(t,i){return this.realFs.renameSync(U.fromPortablePath(t),U.fromPortablePath(i))}async copyFilePromise(t,i,n=0){return await new Promise((s,o)=>{this.realFs.copyFile(U.fromPortablePath(t),U.fromPortablePath(i),n,this.makeCallback(s,o))})}copyFileSync(t,i,n=0){return this.realFs.copyFileSync(U.fromPortablePath(t),U.fromPortablePath(i),n)}async appendFilePromise(t,i,n){return await new Promise((s,o)=>{let a=typeof t=="string"?U.fromPortablePath(t):t;n?this.realFs.appendFile(a,i,n,this.makeCallback(s,o)):this.realFs.appendFile(a,i,this.makeCallback(s,o))})}appendFileSync(t,i,n){let s=typeof t=="string"?U.fromPortablePath(t):t;n?this.realFs.appendFileSync(s,i,n):this.realFs.appendFileSync(s,i)}async writeFilePromise(t,i,n){return await new Promise((s,o)=>{let a=typeof t=="string"?U.fromPortablePath(t):t;n?this.realFs.writeFile(a,i,n,this.makeCallback(s,o)):this.realFs.writeFile(a,i,this.makeCallback(s,o))})}writeFileSync(t,i,n){let s=typeof t=="string"?U.fromPortablePath(t):t;n?this.realFs.writeFileSync(s,i,n):this.realFs.writeFileSync(s,i)}async unlinkPromise(t){return await new Promise((i,n)=>{this.realFs.unlink(U.fromPortablePath(t),this.makeCallback(i,n))})}unlinkSync(t){return this.realFs.unlinkSync(U.fromPortablePath(t))}async utimesPromise(t,i,n){return await new Promise((s,o)=>{this.realFs.utimes(U.fromPortablePath(t),i,n,this.makeCallback(s,o))})}utimesSync(t,i,n){this.realFs.utimesSync(U.fromPortablePath(t),i,n)}async lutimesPromiseImpl(t,i,n){let s=this.realFs.lutimes;if(typeof s>"u")throw Up("unavailable Node binding",`lutimes '${t}'`);return await new Promise((o,a)=>{s.call(this.realFs,U.fromPortablePath(t),i,n,this.makeCallback(o,a))})}lutimesSyncImpl(t,i,n){let s=this.realFs.lutimesSync;if(typeof s>"u")throw Up("unavailable Node binding",`lutimes '${t}'`);s.call(this.realFs,U.fromPortablePath(t),i,n)}async mkdirPromise(t,i){return await new Promise((n,s)=>{this.realFs.mkdir(U.fromPortablePath(t),i,this.makeCallback(n,s))})}mkdirSync(t,i){return this.realFs.mkdirSync(U.fromPortablePath(t),i)}async rmdirPromise(t,i){return await new Promise((n,s)=>{i?this.realFs.rmdir(U.fromPortablePath(t),i,this.makeCallback(n,s)):this.realFs.rmdir(U.fromPortablePath(t),this.makeCallback(n,s))})}rmdirSync(t,i){return this.realFs.rmdirSync(U.fromPortablePath(t),i)}async linkPromise(t,i){return await new Promise((n,s)=>{this.realFs.link(U.fromPortablePath(t),U.fromPortablePath(i),this.makeCallback(n,s))})}linkSync(t,i){return this.realFs.linkSync(U.fromPortablePath(t),U.fromPortablePath(i))}async symlinkPromise(t,i,n){return await new Promise((s,o)=>{this.realFs.symlink(U.fromPortablePath(t.replace(/\/+$/,"")),U.fromPortablePath(i),n,this.makeCallback(s,o))})}symlinkSync(t,i,n){return this.realFs.symlinkSync(U.fromPortablePath(t.replace(/\/+$/,"")),U.fromPortablePath(i),n)}async readFilePromise(t,i){return await new Promise((n,s)=>{let o=typeof t=="string"?U.fromPortablePath(t):t;this.realFs.readFile(o,i,this.makeCallback(n,s))})}readFileSync(t,i){let n=typeof t=="string"?U.fromPortablePath(t):t;return this.realFs.readFileSync(n,i)}async readdirPromise(t,i){return await new Promise((n,s)=>{i!=null&&i.withFileTypes?this.realFs.readdir(U.fromPortablePath(t),{withFileTypes:!0},this.makeCallback(n,s)):this.realFs.readdir(U.fromPortablePath(t),this.makeCallback(o=>n(o),s))})}readdirSync(t,i){return i!=null&&i.withFileTypes?this.realFs.readdirSync(U.fromPortablePath(t),{withFileTypes:!0}):this.realFs.readdirSync(U.fromPortablePath(t))}async readlinkPromise(t){return await new Promise((i,n)=>{this.realFs.readlink(U.fromPortablePath(t),this.makeCallback(i,n))}).then(i=>U.toPortablePath(i))}readlinkSync(t){return U.toPortablePath(this.realFs.readlinkSync(U.fromPortablePath(t)))}async truncatePromise(t,i){return await new Promise((n,s)=>{this.realFs.truncate(U.fromPortablePath(t),i,this.makeCallback(n,s))})}truncateSync(t,i){return this.realFs.truncateSync(U.fromPortablePath(t),i)}async ftruncatePromise(t,i){return await new Promise((n,s)=>{this.realFs.ftruncate(t,i,this.makeCallback(n,s))})}ftruncateSync(t,i){return this.realFs.ftruncateSync(t,i)}watch(t,i,n){return this.realFs.watch(U.fromPortablePath(t),i,n)}watchFile(t,i,n){return this.realFs.watchFile(U.fromPortablePath(t),i,n)}unwatchFile(t,i){return this.realFs.unwatchFile(U.fromPortablePath(t),i)}makeCallback(t,i){return(n,s)=>{n?i(n):t(s)}}};var fU=J("events");function gU(r,e){if(r!==e)throw new Error(`Invalid StatWatcher status: expected '${e}', got '${r}'`)}var Qg=class extends fU.EventEmitter{constructor(t,i,{bigint:n=!1}={}){super();this.status="ready";this.changeListeners=new Map;this.startTimeout=null;this.fakeFs=t,this.path=i,this.bigint=n,this.lastStats=this.stat()}static create(t,i,n){let s=new Qg(t,i,n);return s.start(),s}start(){gU(this.status,"ready"),this.status="running",this.startTimeout=setTimeout(()=>{this.startTimeout=null,this.fakeFs.existsSync(this.path)||this.emit("change",this.lastStats,this.lastStats)},3)}stop(){gU(this.status,"running"),this.status="stopped",this.startTimeout!==null&&(clearTimeout(this.startTimeout),this.startTimeout=null),this.emit("stop")}stat(){try{return this.fakeFs.statSync(this.path,{bigint:this.bigint})}catch{let i=this.bigint?new Bg:new Ea;return WE(i)}}makeInterval(t){let i=setInterval(()=>{let n=this.stat(),s=this.lastStats;gS(n,s)||(this.lastStats=n,this.emit("change",n,s))},t.interval);return t.persistent?i:i.unref()}registerChangeListener(t,i){this.addListener("change",t),this.changeListeners.set(t,this.makeInterval(i))}unregisterChangeListener(t){this.removeListener("change",t);let i=this.changeListeners.get(t);typeof i<"u"&&clearInterval(i),this.changeListeners.delete(t)}unregisterAllChangeListeners(){for(let t of this.changeListeners.keys())this.unregisterChangeListener(t)}hasChangeListeners(){return this.changeListeners.size>0}ref(){for(let t of this.changeListeners.values())t.ref();return this}unref(){for(let t of this.changeListeners.values())t.unref();return this}};var rI=new WeakMap;function iI(r,e,t,i){let n,s,o,a;switch(typeof t){case"function":n=!1,s=!0,o=5007,a=t;break;default:({bigint:n=!1,persistent:s=!0,interval:o=5007}=t),a=i;break}let l=rI.get(r);typeof l>"u"&&rI.set(r,l=new Map);let c=l.get(e);return typeof c>"u"&&(c=Qg.create(r,e,{bigint:n}),l.set(e,c)),c.registerChangeListener(a,{persistent:s,interval:o}),c}function Gp(r,e,t){let i=rI.get(r);if(typeof i>"u")return;let n=i.get(e);typeof n>"u"||(typeof t>"u"?n.unregisterAllChangeListeners():n.unregisterChangeListener(t),n.hasChangeListeners()||(n.stop(),i.delete(e)))}function Yp(r){let e=rI.get(r);if(!(typeof e>"u"))for(let t of e.keys())Gp(r,t)}var Xl="mixed";function jge(r){if(typeof r=="string"&&String(+r)===r)return+r;if(typeof r=="number"&&Number.isFinite(r))return r<0?Date.now()/1e3:r;if(hU.types.isDate(r))return r.getTime()/1e3;throw new Error("Invalid time")}function ES(){return Buffer.from([80,75,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0])}var Wr=class extends xA{constructor(t,i){super();this.lzSource=null;this.listings=new Map;this.entries=new Map;this.fileSources=new Map;this.fds=new Map;this.nextFd=0;this.ready=!1;this.readOnly=!1;this.libzip=i.libzip;let n=i;if(this.level=typeof n.level<"u"?n.level:Xl,t!=null||(t=ES()),typeof t=="string"){let{baseFs:a=new $t}=n;this.baseFs=a,this.path=t}else this.path=null,this.baseFs=null;if(i.stats)this.stats=i.stats;else if(typeof t=="string")try{this.stats=this.baseFs.statSync(t)}catch(a){if(a.code==="ENOENT"&&n.create)this.stats=Tp();else throw a}else this.stats=Tp();let s=this.libzip.malloc(4);try{let a=0;if(typeof t=="string"&&n.create&&(a|=this.libzip.ZIP_CREATE|this.libzip.ZIP_TRUNCATE),i.readOnly&&(a|=this.libzip.ZIP_RDONLY,this.readOnly=!0),typeof t=="string")this.zip=this.libzip.open(U.fromPortablePath(t),a,s);else{let l=this.allocateUnattachedSource(t);try{this.zip=this.libzip.openFromSource(l,a,s),this.lzSource=l}catch(c){throw this.libzip.source.free(l),c}}if(this.zip===0){let l=this.libzip.struct.errorS();throw this.libzip.error.initWithCode(l,this.libzip.getValue(s,"i32")),this.makeLibzipError(l)}}finally{this.libzip.free(s)}this.listings.set(Oe.root,new Set);let o=this.libzip.getNumEntries(this.zip,0);for(let a=0;a<o;++a){let l=this.libzip.getName(this.zip,a,0);if(x.isAbsolute(l))continue;let c=x.resolve(Oe.root,l);this.registerEntry(c,a),l.endsWith("/")&&this.registerListing(c)}if(this.symlinkCount=this.libzip.ext.countSymlinks(this.zip),this.symlinkCount===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));this.ready=!0}makeLibzipError(t){let i=this.libzip.struct.errorCodeZip(t),n=this.libzip.error.strerror(t),s=new _E(n,this.libzip.errors[i]);if(i===this.libzip.errors.ZIP_ER_CHANGED)throw new Error(`Assertion failed: Unexpected libzip error: ${s.message}`);return s}getExtractHint(t){for(let i of this.entries.keys()){let n=this.pathUtils.extname(i);if(t.relevantExtensions.has(n))return!0}return!1}getAllFiles(){return Array.from(this.entries.keys())}getRealPath(){if(!this.path)throw new Error("ZipFS don't have real paths when loaded from a buffer");return this.path}getBufferAndClose(){if(this.prepareClose(),!this.lzSource)throw new Error("ZipFS was not created from a Buffer");if(this.entries.size===0)return this.discardAndClose(),ES();try{if(this.libzip.source.keep(this.lzSource),this.libzip.close(this.zip)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));if(this.libzip.source.open(this.lzSource)===-1)throw this.makeLibzipError(this.libzip.source.error(this.lzSource));if(this.libzip.source.seek(this.lzSource,0,0,this.libzip.SEEK_END)===-1)throw this.makeLibzipError(this.libzip.source.error(this.lzSource));let t=this.libzip.source.tell(this.lzSource);if(t===-1)throw this.makeLibzipError(this.libzip.source.error(this.lzSource));if(this.libzip.source.seek(this.lzSource,0,0,this.libzip.SEEK_SET)===-1)throw this.makeLibzipError(this.libzip.source.error(this.lzSource));let i=this.libzip.malloc(t);if(!i)throw new Error("Couldn't allocate enough memory");try{let n=this.libzip.source.read(this.lzSource,i,t);if(n===-1)throw this.makeLibzipError(this.libzip.source.error(this.lzSource));if(n<t)throw new Error("Incomplete read");if(n>t)throw new Error("Overread");let s=this.libzip.HEAPU8.subarray(i,i+t);return Buffer.from(s)}finally{this.libzip.free(i)}}finally{this.libzip.source.close(this.lzSource),this.libzip.source.free(this.lzSource),this.ready=!1}}prepareClose(){if(!this.ready)throw $E("archive closed, close");Yp(this)}saveAndClose(){if(!this.path||!this.baseFs)throw new Error("ZipFS cannot be saved and must be discarded when loaded from a buffer");if(this.prepareClose(),this.readOnly){this.discardAndClose();return}let t=this.baseFs.existsSync(this.path)||this.stats.mode===Lp?void 0:this.stats.mode;if(this.entries.size===0)this.discardAndClose(),this.baseFs.writeFileSync(this.path,ES(),{mode:t});else{if(this.libzip.close(this.zip)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));typeof t<"u"&&this.baseFs.chmodSync(this.path,t)}this.ready=!1}discardAndClose(){this.prepareClose(),this.libzip.discard(this.zip),this.ready=!1}resolve(t){return x.resolve(Oe.root,t)}async openPromise(t,i,n){return this.openSync(t,i,n)}openSync(t,i,n){let s=this.nextFd++;return this.fds.set(s,{cursor:0,p:t}),s}hasOpenFileHandles(){return!!this.fds.size}async opendirPromise(t,i){return this.opendirSync(t,i)}opendirSync(t,i={}){let n=this.resolveFilename(`opendir '${t}'`,t);if(!this.entries.has(n)&&!this.listings.has(n))throw Js(`opendir '${t}'`);let s=this.listings.get(n);if(!s)throw Qo(`opendir '${t}'`);let o=[...s],a=this.openSync(n,"r");return tI(this,n,o,{onClose:()=>{this.closeSync(a)}})}async readPromise(t,i,n,s,o){return this.readSync(t,i,n,s,o)}readSync(t,i,n=0,s=i.byteLength,o=-1){let a=this.fds.get(t);if(typeof a>"u")throw Hr("read");let l=o===-1||o===null?a.cursor:o,c=this.readFileSync(a.p);c.copy(i,n,l,l+s);let u=Math.max(0,Math.min(c.length-l,s));return(o===-1||o===null)&&(a.cursor+=u),u}async writePromise(t,i,n,s,o){return typeof i=="string"?this.writeSync(t,i,o):this.writeSync(t,i,n,s,o)}writeSync(t,i,n,s,o){throw typeof this.fds.get(t)>"u"?Hr("read"):new Error("Unimplemented")}async closePromise(t){return this.closeSync(t)}closeSync(t){if(typeof this.fds.get(t)>"u")throw Hr("read");this.fds.delete(t)}createReadStream(t,{encoding:i}={}){if(t===null)throw new Error("Unimplemented");let n=this.openSync(t,"r"),s=Object.assign(new IS.PassThrough({emitClose:!0,autoDestroy:!0,destroy:(a,l)=>{clearImmediate(o),this.closeSync(n),l(a)}}),{close(){s.destroy()},bytesRead:0,path:t}),o=setImmediate(async()=>{try{let a=await this.readFilePromise(t,i);s.bytesRead=a.length,s.end(a)}catch(a){s.destroy(a)}});return s}createWriteStream(t,{encoding:i}={}){if(this.readOnly)throw cn(`open '${t}'`);if(t===null)throw new Error("Unimplemented");let n=[],s=this.openSync(t,"w"),o=Object.assign(new IS.PassThrough({autoDestroy:!0,emitClose:!0,destroy:(a,l)=>{try{a?l(a):(this.writeFileSync(t,Buffer.concat(n),i),l(null))}catch(c){l(c)}finally{this.closeSync(s)}}}),{bytesWritten:0,path:t,close(){o.destroy()}});return o.on("data",a=>{let l=Buffer.from(a);o.bytesWritten+=l.length,n.push(l)}),o}async realpathPromise(t){return this.realpathSync(t)}realpathSync(t){let i=this.resolveFilename(`lstat '${t}'`,t);if(!this.entries.has(i)&&!this.listings.has(i))throw Js(`lstat '${t}'`);return i}async existsPromise(t){return this.existsSync(t)}existsSync(t){if(!this.ready)throw $E(`archive closed, existsSync '${t}'`);if(this.symlinkCount===0){let n=x.resolve(Oe.root,t);return this.entries.has(n)||this.listings.has(n)}let i;try{i=this.resolveFilename(`stat '${t}'`,t,void 0,!1)}catch{return!1}return i===void 0?!1:this.entries.has(i)||this.listings.has(i)}async accessPromise(t,i){return this.accessSync(t,i)}accessSync(t,i=bg.constants.F_OK){let n=this.resolveFilename(`access '${t}'`,t);if(!this.entries.has(n)&&!this.listings.has(n))throw Js(`access '${t}'`);if(this.readOnly&&i&bg.constants.W_OK)throw cn(`access '${t}'`)}async statPromise(t,i={bigint:!1}){return i.bigint?this.statSync(t,{bigint:!0}):this.statSync(t)}statSync(t,i={bigint:!1,throwIfNoEntry:!0}){let n=this.resolveFilename(`stat '${t}'`,t,void 0,i.throwIfNoEntry);if(n!==void 0){if(!this.entries.has(n)&&!this.listings.has(n)){if(i.throwIfNoEntry===!1)return;throw Js(`stat '${t}'`)}if(t[t.length-1]==="/"&&!this.listings.has(n))throw Qo(`stat '${t}'`);return this.statImpl(`stat '${t}'`,n,i)}}async fstatPromise(t,i){return this.fstatSync(t,i)}fstatSync(t,i){let n=this.fds.get(t);if(typeof n>"u")throw Hr("fstatSync");let{p:s}=n,o=this.resolveFilename(`stat '${s}'`,s);if(!this.entries.has(o)&&!this.listings.has(o))throw Js(`stat '${s}'`);if(s[s.length-1]==="/"&&!this.listings.has(o))throw Qo(`stat '${s}'`);return this.statImpl(`fstat '${s}'`,o,i)}async lstatPromise(t,i={bigint:!1}){return i.bigint?this.lstatSync(t,{bigint:!0}):this.lstatSync(t)}lstatSync(t,i={bigint:!1,throwIfNoEntry:!0}){let n=this.resolveFilename(`lstat '${t}'`,t,!1,i.throwIfNoEntry);if(n!==void 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this.libzip.free(i),this.makeLibzipError(this.libzip.getError(this.zip));return s}setFileSource(t,i){let n=Buffer.isBuffer(i)?i:Buffer.from(i),s=x.relative(Oe.root,t),o=this.allocateSource(i);try{let a=this.libzip.file.add(this.zip,s,o,this.libzip.ZIP_FL_OVERWRITE);if(a===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));if(this.level!=="mixed"){let l=this.level===0?this.libzip.ZIP_CM_STORE:this.libzip.ZIP_CM_DEFLATE;if(this.libzip.file.setCompression(this.zip,a,0,l,this.level)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip))}return this.fileSources.set(a,n),a}catch(a){throw this.libzip.source.free(o),a}}isSymbolicLink(t){if(this.symlinkCount===0)return!1;if(this.libzip.file.getExternalAttributes(this.zip,t,0,0,this.libzip.uint08S,this.libzip.uint32S)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));return this.libzip.getValue(this.libzip.uint08S,"i8")>>>0!==this.libzip.ZIP_OPSYS_UNIX?!1:(this.libzip.getValue(this.libzip.uint32S,"i32")>>>16&61440)===40960}getFileSource(t,i={asyncDecompress:!1}){let n=this.fileSources.get(t);if(typeof n<"u")return n;let s=this.libzip.struct.statS();if(this.libzip.statIndex(this.zip,t,0,0,s)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));let a=this.libzip.struct.statCompSize(s),l=this.libzip.struct.statCompMethod(s),c=this.libzip.malloc(a);try{let u=this.libzip.fopenIndex(this.zip,t,0,this.libzip.ZIP_FL_COMPRESSED);if(u===0)throw this.makeLibzipError(this.libzip.getError(this.zip));try{let g=this.libzip.fread(u,c,a,0);if(g===-1)throw this.makeLibzipError(this.libzip.file.getError(u));if(g<a)throw new Error("Incomplete read");if(g>a)throw new Error("Overread");let f=this.libzip.HEAPU8.subarray(c,c+a),h=Buffer.from(f);if(l===0)return this.fileSources.set(t,h),h;if(i.asyncDecompress)return new Promise((p,C)=>{yS.default.inflateRaw(h,(y,B)=>{y?C(y):(this.fileSources.set(t,B),p(B))})});{let p=yS.default.inflateRawSync(h);return this.fileSources.set(t,p),p}}finally{this.libzip.fclose(u)}}finally{this.libzip.free(c)}}async fchmodPromise(t,i){return this.chmodPromise(this.fdToPath(t,"fchmod"),i)}fchmodSync(t,i){return this.chmodSync(this.fdToPath(t,"fchmodSync"),i)}async chmodPromise(t,i){return this.chmodSync(t,i)}chmodSync(t,i){if(this.readOnly)throw cn(`chmod '${t}'`);i&=493;let n=this.resolveFilename(`chmod '${t}'`,t,!1),s=this.entries.get(n);if(typeof s>"u")throw new Error(`Assertion failed: The entry should have been registered (${n})`);let a=this.getUnixMode(s,32768)&-512|i;if(this.libzip.file.setExternalAttributes(this.zip,s,0,0,this.libzip.ZIP_OPSYS_UNIX,a<<16)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip))}async fchownPromise(t,i,n){return this.chownPromise(this.fdToPath(t,"fchown"),i,n)}fchownSync(t,i,n){return this.chownSync(this.fdToPath(t,"fchownSync"),i,n)}async chownPromise(t,i,n){return this.chownSync(t,i,n)}chownSync(t,i,n){throw new Error("Unimplemented")}async renamePromise(t,i){return this.renameSync(t,i)}renameSync(t,i){throw new Error("Unimplemented")}async copyFilePromise(t,i,n){let{indexSource:s,indexDest:o,resolvedDestP:a}=this.prepareCopyFile(t,i,n),l=await this.getFileSource(s,{asyncDecompress:!0}),c=this.setFileSource(a,l);c!==o&&this.registerEntry(a,c)}copyFileSync(t,i,n=0){let{indexSource:s,indexDest:o,resolvedDestP:a}=this.prepareCopyFile(t,i,n),l=this.getFileSource(s),c=this.setFileSource(a,l);c!==o&&this.registerEntry(a,c)}prepareCopyFile(t,i,n=0){if(this.readOnly)throw cn(`copyfile '${t} -> '${i}'`);if((n&bg.constants.COPYFILE_FICLONE_FORCE)!==0)throw Up("unsupported clone operation",`copyfile '${t}' -> ${i}'`);let s=this.resolveFilename(`copyfile '${t} -> ${i}'`,t),o=this.entries.get(s);if(typeof o>"u")throw vA(`copyfile '${t}' -> '${i}'`);let a=this.resolveFilename(`copyfile '${t}' -> ${i}'`,i),l=this.entries.get(a);if((n&(bg.constants.COPYFILE_EXCL|bg.constants.COPYFILE_FICLONE_FORCE))!==0&&typeof l<"u")throw eI(`copyfile '${t}' -> '${i}'`);return{indexSource:o,resolvedDestP:a,indexDest:l}}async appendFilePromise(t,i,n){if(this.readOnly)throw cn(`open '${t}'`);return typeof n>"u"?n={flag:"a"}:typeof n=="string"?n={flag:"a",encoding:n}:typeof n.flag>"u"&&(n={flag:"a",...n}),this.writeFilePromise(t,i,n)}appendFileSync(t,i,n={}){if(this.readOnly)throw cn(`open '${t}'`);return typeof n>"u"?n={flag:"a"}:typeof n=="string"?n={flag:"a",encoding:n}:typeof n.flag>"u"&&(n={flag:"a",...n}),this.writeFileSync(t,i,n)}fdToPath(t,i){var s;let n=(s=this.fds.get(t))==null?void 0:s.p;if(typeof n>"u")throw Hr(i);return n}async writeFilePromise(t,i,n){let{encoding:s,mode:o,index:a,resolvedP:l}=this.prepareWriteFile(t,n);a!==void 0&&typeof n=="object"&&n.flag&&n.flag.includes("a")&&(i=Buffer.concat([await this.getFileSource(a,{asyncDecompress:!0}),Buffer.from(i)])),s!==null&&(i=i.toString(s));let c=this.setFileSource(l,i);c!==a&&this.registerEntry(l,c),o!==null&&await this.chmodPromise(l,o)}writeFileSync(t,i,n){let{encoding:s,mode:o,index:a,resolvedP:l}=this.prepareWriteFile(t,n);a!==void 0&&typeof n=="object"&&n.flag&&n.flag.includes("a")&&(i=Buffer.concat([this.getFileSource(a),Buffer.from(i)])),s!==null&&(i=i.toString(s));let c=this.setFileSource(l,i);c!==a&&this.registerEntry(l,c),o!==null&&this.chmodSync(l,o)}prepareWriteFile(t,i){if(typeof t=="number"&&(t=this.fdToPath(t,"read")),this.readOnly)throw cn(`open '${t}'`);let n=this.resolveFilename(`open '${t}'`,t);if(this.listings.has(n))throw Kp(`open '${t}'`);let s=null,o=null;typeof i=="string"?s=i:typeof i=="object"&&({encoding:s=null,mode:o=null}=i);let a=this.entries.get(n);return{encoding:s,mode:o,resolvedP:n,index:a}}async unlinkPromise(t){return this.unlinkSync(t)}unlinkSync(t){if(this.readOnly)throw cn(`unlink '${t}'`);let i=this.resolveFilename(`unlink '${t}'`,t);if(this.listings.has(i))throw Kp(`unlink '${t}'`);let n=this.entries.get(i);if(typeof n>"u")throw vA(`unlink '${t}'`);this.deleteEntry(i,n)}async utimesPromise(t,i,n){return this.utimesSync(t,i,n)}utimesSync(t,i,n){if(this.readOnly)throw cn(`utimes '${t}'`);let s=this.resolveFilename(`utimes '${t}'`,t);this.utimesImpl(s,n)}async lutimesPromise(t,i,n){return this.lutimesSync(t,i,n)}lutimesSync(t,i,n){if(this.readOnly)throw cn(`lutimes '${t}'`);let s=this.resolveFilename(`utimes '${t}'`,t,!1);this.utimesImpl(s,n)}utimesImpl(t,i){this.listings.has(t)&&(this.entries.has(t)||this.hydrateDirectory(t));let n=this.entries.get(t);if(n===void 0)throw new Error("Unreachable");if(this.libzip.file.setMtime(this.zip,n,0,jge(i),0)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip))}async mkdirPromise(t,i){return this.mkdirSync(t,i)}mkdirSync(t,{mode:i=493,recursive:n=!1}={}){if(n)return this.mkdirpSync(t,{chmod:i});if(this.readOnly)throw cn(`mkdir '${t}'`);let s=this.resolveFilename(`mkdir '${t}'`,t);if(this.entries.has(s)||this.listings.has(s))throw eI(`mkdir '${t}'`);this.hydrateDirectory(s),this.chmodSync(s,i)}async rmdirPromise(t,i){return this.rmdirSync(t,i)}rmdirSync(t,{recursive:i=!1}={}){if(this.readOnly)throw cn(`rmdir '${t}'`);if(i){this.removeSync(t);return}let n=this.resolveFilename(`rmdir '${t}'`,t),s=this.listings.get(n);if(!s)throw Qo(`rmdir '${t}'`);if(s.size>0)throw aU(`rmdir '${t}'`);let o=this.entries.get(n);if(typeof o>"u")throw vA(`rmdir '${t}'`);this.deleteEntry(t,o)}hydrateDirectory(t){let i=this.libzip.dir.add(this.zip,x.relative(Oe.root,t));if(i===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));return this.registerListing(t),this.registerEntry(t,i),i}async linkPromise(t,i){return this.linkSync(t,i)}linkSync(t,i){throw AU(`link '${t}' -> '${i}'`)}async symlinkPromise(t,i){return this.symlinkSync(t,i)}symlinkSync(t,i){if(this.readOnly)throw cn(`symlink '${t}' -> '${i}'`);let n=this.resolveFilename(`symlink '${t}' -> '${i}'`,i);if(this.listings.has(n))throw Kp(`symlink '${t}' -> '${i}'`);if(this.entries.has(n))throw eI(`symlink '${t}' -> '${i}'`);let s=this.setFileSource(n,t);if(this.registerEntry(n,s),this.libzip.file.setExternalAttributes(this.zip,s,0,0,this.libzip.ZIP_OPSYS_UNIX,41471<<16)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));this.symlinkCount+=1}async readFilePromise(t,i){typeof i=="object"&&(i=i?i.encoding:void 0);let n=await this.readFileBuffer(t,{asyncDecompress:!0});return i?n.toString(i):n}readFileSync(t,i){typeof i=="object"&&(i=i?i.encoding:void 0);let n=this.readFileBuffer(t);return i?n.toString(i):n}readFileBuffer(t,i={asyncDecompress:!1}){typeof t=="number"&&(t=this.fdToPath(t,"read"));let n=this.resolveFilename(`open '${t}'`,t);if(!this.entries.has(n)&&!this.listings.has(n))throw Js(`open '${t}'`);if(t[t.length-1]==="/"&&!this.listings.has(n))throw Qo(`open '${t}'`);if(this.listings.has(n))throw Kp("read");let s=this.entries.get(n);if(s===void 0)throw new Error("Unreachable");return this.getFileSource(s,i)}async readdirPromise(t,i){return this.readdirSync(t,i)}readdirSync(t,i){let n=this.resolveFilename(`scandir '${t}'`,t);if(!this.entries.has(n)&&!this.listings.has(n))throw Js(`scandir '${t}'`);let s=this.listings.get(n);if(!s)throw Qo(`scandir '${t}'`);let o=[...s];return i!=null&&i.withFileTypes?o.map(a=>Object.assign(this.statImpl("lstat",x.join(t,a)),{name:a})):o}async readlinkPromise(t){let i=this.prepareReadlink(t);return(await this.getFileSource(i,{asyncDecompress:!0})).toString()}readlinkSync(t){let i=this.prepareReadlink(t);return this.getFileSource(i).toString()}prepareReadlink(t){let i=this.resolveFilename(`readlink '${t}'`,t,!1);if(!this.entries.has(i)&&!this.listings.has(i))throw Js(`readlink '${t}'`);if(t[t.length-1]==="/"&&!this.listings.has(i))throw Qo(`open '${t}'`);if(this.listings.has(i))throw vA(`readlink '${t}'`);let n=this.entries.get(i);if(n===void 0)throw new Error("Unreachable");if(!this.isSymbolicLink(n))throw vA(`readlink '${t}'`);return n}async truncatePromise(t,i=0){let n=this.resolveFilename(`open '${t}'`,t),s=this.entries.get(n);if(typeof s>"u")throw vA(`open '${t}'`);let o=await this.getFileSource(s,{asyncDecompress:!0}),a=Buffer.alloc(i,0);return o.copy(a),await this.writeFilePromise(t,a)}truncateSync(t,i=0){let n=this.resolveFilename(`open '${t}'`,t),s=this.entries.get(n);if(typeof s>"u")throw vA(`open '${t}'`);let o=this.getFileSource(s),a=Buffer.alloc(i,0);return o.copy(a),this.writeFileSync(t,a)}async ftruncatePromise(t,i){return this.truncatePromise(this.fdToPath(t,"ftruncate"),i)}ftruncateSync(t,i){return this.truncateSync(this.fdToPath(t,"ftruncateSync"),i)}watch(t,i,n){let s;switch(typeof i){case"function":case"string":case"undefined":s=!0;break;default:({persistent:s=!0}=i);break}if(!s)return{on:()=>{},close:()=>{}};let o=setInterval(()=>{},24*60*60*1e3);return{on:()=>{},close:()=>{clearInterval(o)}}}watchFile(t,i,n){let s=x.resolve(Oe.root,t);return iI(this,s,i,n)}unwatchFile(t,i){let n=x.resolve(Oe.root,t);return Gp(this,n,i)}};var pi=class extends Ia{getExtractHint(e){return this.baseFs.getExtractHint(e)}resolve(e){return this.mapFromBase(this.baseFs.resolve(this.mapToBase(e)))}getRealPath(){return this.mapFromBase(this.baseFs.getRealPath())}async openPromise(e,t,i){return this.baseFs.openPromise(this.mapToBase(e),t,i)}openSync(e,t,i){return this.baseFs.openSync(this.mapToBase(e),t,i)}async opendirPromise(e,t){return Object.assign(await this.baseFs.opendirPromise(this.mapToBase(e),t),{path:e})}opendirSync(e,t){return Object.assign(this.baseFs.opendirSync(this.mapToBase(e),t),{path:e})}async readPromise(e,t,i,n,s){return await this.baseFs.readPromise(e,t,i,n,s)}readSync(e,t,i,n,s){return this.baseFs.readSync(e,t,i,n,s)}async writePromise(e,t,i,n,s){return typeof t=="string"?await this.baseFs.writePromise(e,t,i):await this.baseFs.writePromise(e,t,i,n,s)}writeSync(e,t,i,n,s){return typeof t=="string"?this.baseFs.writeSync(e,t,i):this.baseFs.writeSync(e,t,i,n,s)}async closePromise(e){return this.baseFs.closePromise(e)}closeSync(e){this.baseFs.closeSync(e)}createReadStream(e,t){return this.baseFs.createReadStream(e!==null?this.mapToBase(e):e,t)}createWriteStream(e,t){return this.baseFs.createWriteStream(e!==null?this.mapToBase(e):e,t)}async realpathPromise(e){return this.mapFromBase(await this.baseFs.realpathPromise(this.mapToBase(e)))}realpathSync(e){return this.mapFromBase(this.baseFs.realpathSync(this.mapToBase(e)))}async existsPromise(e){return this.baseFs.existsPromise(this.mapToBase(e))}existsSync(e){return this.baseFs.existsSync(this.mapToBase(e))}accessSync(e,t){return this.baseFs.accessSync(this.mapToBase(e),t)}async accessPromise(e,t){return this.baseFs.accessPromise(this.mapToBase(e),t)}async statPromise(e,t){return this.baseFs.statPromise(this.mapToBase(e),t)}statSync(e,t){return this.baseFs.statSync(this.mapToBase(e),t)}async fstatPromise(e,t){return this.baseFs.fstatPromise(e,t)}fstatSync(e,t){return this.baseFs.fstatSync(e,t)}lstatPromise(e,t){return this.baseFs.lstatPromise(this.mapToBase(e),t)}lstatSync(e,t){return this.baseFs.lstatSync(this.mapToBase(e),t)}async fchmodPromise(e,t){return this.baseFs.fchmodPromise(e,t)}fchmodSync(e,t){return this.baseFs.fchmodSync(e,t)}async chmodPromise(e,t){return this.baseFs.chmodPromise(this.mapToBase(e),t)}chmodSync(e,t){return this.baseFs.chmodSync(this.mapToBase(e),t)}async fchownPromise(e,t,i){return this.baseFs.fchownPromise(e,t,i)}fchownSync(e,t,i){return this.baseFs.fchownSync(e,t,i)}async chownPromise(e,t,i){return this.baseFs.chownPromise(this.mapToBase(e),t,i)}chownSync(e,t,i){return this.baseFs.chownSync(this.mapToBase(e),t,i)}async renamePromise(e,t){return this.baseFs.renamePromise(this.mapToBase(e),this.mapToBase(t))}renameSync(e,t){return this.baseFs.renameSync(this.mapToBase(e),this.mapToBase(t))}async copyFilePromise(e,t,i=0){return this.baseFs.copyFilePromise(this.mapToBase(e),this.mapToBase(t),i)}copyFileSync(e,t,i=0){return this.baseFs.copyFileSync(this.mapToBase(e),this.mapToBase(t),i)}async appendFilePromise(e,t,i){return this.baseFs.appendFilePromise(this.fsMapToBase(e),t,i)}appendFileSync(e,t,i){return this.baseFs.appendFileSync(this.fsMapToBase(e),t,i)}async writeFilePromise(e,t,i){return this.baseFs.writeFilePromise(this.fsMapToBase(e),t,i)}writeFileSync(e,t,i){return this.baseFs.writeFileSync(this.fsMapToBase(e),t,i)}async unlinkPromise(e){return this.baseFs.unlinkPromise(this.mapToBase(e))}unlinkSync(e){return this.baseFs.unlinkSync(this.mapToBase(e))}async utimesPromise(e,t,i){return this.baseFs.utimesPromise(this.mapToBase(e),t,i)}utimesSync(e,t,i){return this.baseFs.utimesSync(this.mapToBase(e),t,i)}async mkdirPromise(e,t){return this.baseFs.mkdirPromise(this.mapToBase(e),t)}mkdirSync(e,t){return this.baseFs.mkdirSync(this.mapToBase(e),t)}async rmdirPromise(e,t){return this.baseFs.rmdirPromise(this.mapToBase(e),t)}rmdirSync(e,t){return this.baseFs.rmdirSync(this.mapToBase(e),t)}async linkPromise(e,t){return this.baseFs.linkPromise(this.mapToBase(e),this.mapToBase(t))}linkSync(e,t){return this.baseFs.linkSync(this.mapToBase(e),this.mapToBase(t))}async symlinkPromise(e,t,i){let n=this.mapToBase(t);if(this.pathUtils.isAbsolute(e))return this.baseFs.symlinkPromise(this.mapToBase(e),n,i);let s=this.mapToBase(this.pathUtils.join(this.pathUtils.dirname(t),e)),o=this.baseFs.pathUtils.relative(this.baseFs.pathUtils.dirname(n),s);return this.baseFs.symlinkPromise(o,n,i)}symlinkSync(e,t,i){let n=this.mapToBase(t);if(this.pathUtils.isAbsolute(e))return this.baseFs.symlinkSync(this.mapToBase(e),n,i);let s=this.mapToBase(this.pathUtils.join(this.pathUtils.dirname(t),e)),o=this.baseFs.pathUtils.relative(this.baseFs.pathUtils.dirname(n),s);return this.baseFs.symlinkSync(o,n,i)}async readFilePromise(e,t){return t==="utf8"?this.baseFs.readFilePromise(this.fsMapToBase(e),t):this.baseFs.readFilePromise(this.fsMapToBase(e),t)}readFileSync(e,t){return t==="utf8"?this.baseFs.readFileSync(this.fsMapToBase(e),t):this.baseFs.readFileSync(this.fsMapToBase(e),t)}async readdirPromise(e,t){return this.baseFs.readdirPromise(this.mapToBase(e),t)}readdirSync(e,t){return this.baseFs.readdirSync(this.mapToBase(e),t)}async readlinkPromise(e){return this.mapFromBase(await this.baseFs.readlinkPromise(this.mapToBase(e)))}readlinkSync(e){return this.mapFromBase(this.baseFs.readlinkSync(this.mapToBase(e)))}async truncatePromise(e,t){return this.baseFs.truncatePromise(this.mapToBase(e),t)}truncateSync(e,t){return this.baseFs.truncateSync(this.mapToBase(e),t)}async ftruncatePromise(e,t){return this.baseFs.ftruncatePromise(e,t)}ftruncateSync(e,t){return this.baseFs.ftruncateSync(e,t)}watch(e,t,i){return this.baseFs.watch(this.mapToBase(e),t,i)}watchFile(e,t,i){return this.baseFs.watchFile(this.mapToBase(e),t,i)}unwatchFile(e,t){return this.baseFs.unwatchFile(this.mapToBase(e),t)}fsMapToBase(e){return typeof e=="number"?e:this.mapToBase(e)}};var bo=class extends pi{constructor(t,{baseFs:i,pathUtils:n}){super(n);this.target=t,this.baseFs=i}getRealPath(){return this.target}getBaseFs(){return this.baseFs}mapFromBase(t){return t}mapToBase(t){return t}};var qt=class extends pi{constructor(t,{baseFs:i=new $t}={}){super(x);this.target=this.pathUtils.normalize(t),this.baseFs=i}getRealPath(){return this.pathUtils.resolve(this.baseFs.getRealPath(),this.target)}resolve(t){return this.pathUtils.isAbsolute(t)?x.normalize(t):this.baseFs.resolve(x.join(this.target,t))}mapFromBase(t){return t}mapToBase(t){return this.pathUtils.isAbsolute(t)?t:this.pathUtils.join(this.target,t)}};var pU=Oe.root,So=class extends pi{constructor(t,{baseFs:i=new $t}={}){super(x);this.target=this.pathUtils.resolve(Oe.root,t),this.baseFs=i}getRealPath(){return this.pathUtils.resolve(this.baseFs.getRealPath(),this.pathUtils.relative(Oe.root,this.target))}getTarget(){return this.target}getBaseFs(){return this.baseFs}mapToBase(t){let i=this.pathUtils.normalize(t);if(this.pathUtils.isAbsolute(t))return this.pathUtils.resolve(this.target,this.pathUtils.relative(pU,t));if(i.match(/^\.\.\/?/))throw new Error(`Resolving this path (${t}) would escape the jail`);return this.pathUtils.resolve(this.target,t)}mapFromBase(t){return this.pathUtils.resolve(pU,this.pathUtils.relative(this.target,t))}};var Sg=class extends pi{constructor(t,i){super(i);this.instance=null;this.factory=t}get baseFs(){return this.instance||(this.instance=this.factory()),this.instance}set baseFs(t){this.instance=t}mapFromBase(t){return t}mapToBase(t){return t}};var Ze=()=>Object.assign(new Error("ENOSYS: unsupported filesystem access"),{code:"ENOSYS"}),wS=class extends Ia{constructor(){super(x)}getExtractHint(){throw Ze()}getRealPath(){throw Ze()}resolve(){throw Ze()}async openPromise(){throw Ze()}openSync(){throw Ze()}async opendirPromise(){throw Ze()}opendirSync(){throw Ze()}async readPromise(){throw Ze()}readSync(){throw Ze()}async writePromise(){throw Ze()}writeSync(){throw Ze()}async closePromise(){throw Ze()}closeSync(){throw Ze()}createWriteStream(){throw Ze()}createReadStream(){throw Ze()}async realpathPromise(){throw Ze()}realpathSync(){throw Ze()}async readdirPromise(){throw Ze()}readdirSync(){throw Ze()}async existsPromise(e){throw Ze()}existsSync(e){throw Ze()}async accessPromise(){throw Ze()}accessSync(){throw Ze()}async statPromise(){throw Ze()}statSync(){throw Ze()}async fstatPromise(e){throw Ze()}fstatSync(e){throw Ze()}async lstatPromise(e){throw Ze()}lstatSync(e){throw Ze()}async fchmodPromise(){throw Ze()}fchmodSync(){throw Ze()}async chmodPromise(){throw Ze()}chmodSync(){throw Ze()}async fchownPromise(){throw Ze()}fchownSync(){throw Ze()}async chownPromise(){throw Ze()}chownSync(){throw Ze()}async mkdirPromise(){throw Ze()}mkdirSync(){throw Ze()}async rmdirPromise(){throw Ze()}rmdirSync(){throw Ze()}async linkPromise(){throw Ze()}linkSync(){throw Ze()}async symlinkPromise(){throw Ze()}symlinkSync(){throw Ze()}async renamePromise(){throw Ze()}renameSync(){throw Ze()}async copyFilePromise(){throw Ze()}copyFileSync(){throw Ze()}async appendFilePromise(){throw Ze()}appendFileSync(){throw Ze()}async writeFilePromise(){throw Ze()}writeFileSync(){throw Ze()}async unlinkPromise(){throw Ze()}unlinkSync(){throw Ze()}async utimesPromise(){throw Ze()}utimesSync(){throw Ze()}async readFilePromise(){throw Ze()}readFileSync(){throw Ze()}async readlinkPromise(){throw Ze()}readlinkSync(){throw Ze()}async truncatePromise(){throw Ze()}truncateSync(){throw Ze()}async ftruncatePromise(e,t){throw Ze()}ftruncateSync(e,t){throw Ze()}watch(){throw Ze()}watchFile(){throw Ze()}unwatchFile(){throw Ze()}},jp=wS;jp.instance=new wS;var vg=class extends pi{constructor(t){super(U);this.baseFs=t}mapFromBase(t){return U.fromPortablePath(t)}mapToBase(t){return U.toPortablePath(t)}};var qge=/^[0-9]+$/,BS=/^(\/(?:[^/]+\/)*?(?:\$\$virtual|__virtual__))((?:\/((?:[^/]+-)?[a-f0-9]+)(?:\/([^/]+))?)?((?:\/.*)?))$/,Jge=/^([^/]+-)?[a-f0-9]+$/,Br=class extends pi{constructor({baseFs:t=new $t}={}){super(x);this.baseFs=t}static makeVirtualPath(t,i,n){if(x.basename(t)!=="__virtual__")throw new Error('Assertion failed: Virtual folders must be named "__virtual__"');if(!x.basename(i).match(Jge))throw new Error("Assertion failed: Virtual components must be ended by an hexadecimal hash");let o=x.relative(x.dirname(t),n).split("/"),a=0;for(;a<o.length&&o[a]==="..";)a+=1;let l=o.slice(a);return x.join(t,i,String(a),...l)}static resolveVirtual(t){let i=t.match(BS);if(!i||!i[3]&&i[5])return t;let n=x.dirname(i[1]);if(!i[3]||!i[4])return n;if(!qge.test(i[4]))return t;let o=Number(i[4]),a="../".repeat(o),l=i[5]||".";return Br.resolveVirtual(x.join(n,a,l))}getExtractHint(t){return this.baseFs.getExtractHint(t)}getRealPath(){return this.baseFs.getRealPath()}realpathSync(t){let i=t.match(BS);if(!i)return this.baseFs.realpathSync(t);if(!i[5])return t;let n=this.baseFs.realpathSync(this.mapToBase(t));return Br.makeVirtualPath(i[1],i[3],n)}async realpathPromise(t){let i=t.match(BS);if(!i)return await this.baseFs.realpathPromise(t);if(!i[5])return t;let n=await this.baseFs.realpathPromise(this.mapToBase(t));return Br.makeVirtualPath(i[1],i[3],n)}mapToBase(t){if(t==="")return t;if(this.pathUtils.isAbsolute(t))return Br.resolveVirtual(t);let i=Br.resolveVirtual(this.baseFs.resolve(Oe.dot)),n=Br.resolveVirtual(this.baseFs.resolve(t));return x.relative(i,n)||Oe.dot}mapFromBase(t){return t}};var qp=J("fs");var un=4278190080,zi=704643072,dU=(r,e)=>{let t=r.indexOf(e);if(t<=0)return null;let i=t;for(;t>=0&&(i=t+e.length,r[i]!==x.sep);){if(r[t-1]===x.sep)return null;t=r.indexOf(e,i)}return r.length>i&&r[i]!==x.sep?null:r.slice(0,i)},Mn=class extends xA{constructor({libzip:t,baseFs:i=new $t,filter:n=null,maxOpenFiles:s=1/0,readOnlyArchives:o=!1,useCache:a=!0,maxAge:l=5e3,fileExtensions:c=null}){super();this.fdMap=new Map;this.nextFd=3;this.isZip=new Set;this.notZip=new Set;this.realPaths=new Map;this.limitOpenFilesTimeout=null;this.libzipFactory=typeof t!="function"?()=>t:t,this.baseFs=i,this.zipInstances=a?new Map:null,this.filter=n,this.maxOpenFiles=s,this.readOnlyArchives=o,this.maxAge=l,this.fileExtensions=c}static async openPromise(t,i){let n=new Mn(i);try{return await t(n)}finally{n.saveAndClose()}}get libzip(){return typeof this.libzipInstance>"u"&&(this.libzipInstance=this.libzipFactory()),this.libzipInstance}getExtractHint(t){return this.baseFs.getExtractHint(t)}getRealPath(){return this.baseFs.getRealPath()}saveAndClose(){if(Yp(this),this.zipInstances)for(let[t,{zipFs:i}]of this.zipInstances.entries())i.saveAndClose(),this.zipInstances.delete(t)}discardAndClose(){if(Yp(this),this.zipInstances)for(let[t,{zipFs:i}]of this.zipInstances.entries())i.discardAndClose(),this.zipInstances.delete(t)}resolve(t){return this.baseFs.resolve(t)}remapFd(t,i){let n=this.nextFd++|zi;return this.fdMap.set(n,[t,i]),n}async openPromise(t,i,n){return await this.makeCallPromise(t,async()=>await this.baseFs.openPromise(t,i,n),async(s,{subPath:o})=>this.remapFd(s,await s.openPromise(o,i,n)))}openSync(t,i,n){return this.makeCallSync(t,()=>this.baseFs.openSync(t,i,n),(s,{subPath:o})=>this.remapFd(s,s.openSync(o,i,n)))}async opendirPromise(t,i){return await this.makeCallPromise(t,async()=>await this.baseFs.opendirPromise(t,i),async(n,{subPath:s})=>await n.opendirPromise(s,i),{requireSubpath:!1})}opendirSync(t,i){return this.makeCallSync(t,()=>this.baseFs.opendirSync(t,i),(n,{subPath:s})=>n.opendirSync(s,i),{requireSubpath:!1})}async readPromise(t,i,n,s,o){if((t&un)!==zi)return await this.baseFs.readPromise(t,i,n,s,o);let a=this.fdMap.get(t);if(typeof a>"u")throw Hr("read");let[l,c]=a;return await l.readPromise(c,i,n,s,o)}readSync(t,i,n,s,o){if((t&un)!==zi)return this.baseFs.readSync(t,i,n,s,o);let a=this.fdMap.get(t);if(typeof a>"u")throw Hr("readSync");let[l,c]=a;return l.readSync(c,i,n,s,o)}async writePromise(t,i,n,s,o){if((t&un)!==zi)return typeof i=="string"?await this.baseFs.writePromise(t,i,n):await this.baseFs.writePromise(t,i,n,s,o);let a=this.fdMap.get(t);if(typeof a>"u")throw Hr("write");let[l,c]=a;return typeof i=="string"?await l.writePromise(c,i,n):await l.writePromise(c,i,n,s,o)}writeSync(t,i,n,s,o){if((t&un)!==zi)return typeof i=="string"?this.baseFs.writeSync(t,i,n):this.baseFs.writeSync(t,i,n,s,o);let a=this.fdMap.get(t);if(typeof a>"u")throw Hr("writeSync");let[l,c]=a;return typeof i=="string"?l.writeSync(c,i,n):l.writeSync(c,i,n,s,o)}async closePromise(t){if((t&un)!==zi)return await this.baseFs.closePromise(t);let i=this.fdMap.get(t);if(typeof i>"u")throw Hr("close");this.fdMap.delete(t);let[n,s]=i;return await n.closePromise(s)}closeSync(t){if((t&un)!==zi)return this.baseFs.closeSync(t);let i=this.fdMap.get(t);if(typeof i>"u")throw Hr("closeSync");this.fdMap.delete(t);let[n,s]=i;return n.closeSync(s)}createReadStream(t,i){return t===null?this.baseFs.createReadStream(t,i):this.makeCallSync(t,()=>this.baseFs.createReadStream(t,i),(n,{archivePath:s,subPath:o})=>{let a=n.createReadStream(o,i);return a.path=U.fromPortablePath(this.pathUtils.join(s,o)),a})}createWriteStream(t,i){return t===null?this.baseFs.createWriteStream(t,i):this.makeCallSync(t,()=>this.baseFs.createWriteStream(t,i),(n,{subPath:s})=>n.createWriteStream(s,i))}async realpathPromise(t){return await this.makeCallPromise(t,async()=>await this.baseFs.realpathPromise(t),async(i,{archivePath:n,subPath:s})=>{let o=this.realPaths.get(n);return typeof o>"u"&&(o=await this.baseFs.realpathPromise(n),this.realPaths.set(n,o)),this.pathUtils.join(o,this.pathUtils.relative(Oe.root,await i.realpathPromise(s)))})}realpathSync(t){return this.makeCallSync(t,()=>this.baseFs.realpathSync(t),(i,{archivePath:n,subPath:s})=>{let o=this.realPaths.get(n);return typeof o>"u"&&(o=this.baseFs.realpathSync(n),this.realPaths.set(n,o)),this.pathUtils.join(o,this.pathUtils.relative(Oe.root,i.realpathSync(s)))})}async existsPromise(t){return await this.makeCallPromise(t,async()=>await this.baseFs.existsPromise(t),async(i,{subPath:n})=>await i.existsPromise(n))}existsSync(t){return this.makeCallSync(t,()=>this.baseFs.existsSync(t),(i,{subPath:n})=>i.existsSync(n))}async accessPromise(t,i){return await this.makeCallPromise(t,async()=>await this.baseFs.accessPromise(t,i),async(n,{subPath:s})=>await n.accessPromise(s,i))}accessSync(t,i){return this.makeCallSync(t,()=>this.baseFs.accessSync(t,i),(n,{subPath:s})=>n.accessSync(s,i))}async statPromise(t,i){return await this.makeCallPromise(t,async()=>await this.baseFs.statPromise(t,i),async(n,{subPath:s})=>await n.statPromise(s,i))}statSync(t,i){return this.makeCallSync(t,()=>this.baseFs.statSync(t,i),(n,{subPath:s})=>n.statSync(s,i))}async fstatPromise(t,i){if((t&un)!==zi)return this.baseFs.fstatPromise(t,i);let n=this.fdMap.get(t);if(typeof n>"u")throw Hr("fstat");let[s,o]=n;return s.fstatPromise(o,i)}fstatSync(t,i){if((t&un)!==zi)return this.baseFs.fstatSync(t,i);let n=this.fdMap.get(t);if(typeof n>"u")throw Hr("fstatSync");let[s,o]=n;return s.fstatSync(o,i)}async lstatPromise(t,i){return await this.makeCallPromise(t,async()=>await this.baseFs.lstatPromise(t,i),async(n,{subPath:s})=>await n.lstatPromise(s,i))}lstatSync(t,i){return this.makeCallSync(t,()=>this.baseFs.lstatSync(t,i),(n,{subPath:s})=>n.lstatSync(s,i))}async fchmodPromise(t,i){if((t&un)!==zi)return this.baseFs.fchmodPromise(t,i);let n=this.fdMap.get(t);if(typeof n>"u")throw Hr("fchmod");let[s,o]=n;return s.fchmodPromise(o,i)}fchmodSync(t,i){if((t&un)!==zi)return this.baseFs.fchmodSync(t,i);let n=this.fdMap.get(t);if(typeof n>"u")throw Hr("fchmodSync");let[s,o]=n;return s.fchmodSync(o,i)}async chmodPromise(t,i){return await this.makeCallPromise(t,async()=>await this.baseFs.chmodPromise(t,i),async(n,{subPath:s})=>await n.chmodPromise(s,i))}chmodSync(t,i){return this.makeCallSync(t,()=>this.baseFs.chmodSync(t,i),(n,{subPath:s})=>n.chmodSync(s,i))}async fchownPromise(t,i,n){if((t&un)!==zi)return this.baseFs.fchownPromise(t,i,n);let s=this.fdMap.get(t);if(typeof s>"u")throw Hr("fchown");let[o,a]=s;return o.fchownPromise(a,i,n)}fchownSync(t,i,n){if((t&un)!==zi)return this.baseFs.fchownSync(t,i,n);let s=this.fdMap.get(t);if(typeof s>"u")throw Hr("fchownSync");let[o,a]=s;return o.fchownSync(a,i,n)}async chownPromise(t,i,n){return await this.makeCallPromise(t,async()=>await this.baseFs.chownPromise(t,i,n),async(s,{subPath:o})=>await s.chownPromise(o,i,n))}chownSync(t,i,n){return this.makeCallSync(t,()=>this.baseFs.chownSync(t,i,n),(s,{subPath:o})=>s.chownSync(o,i,n))}async renamePromise(t,i){return await this.makeCallPromise(t,async()=>await this.makeCallPromise(i,async()=>await this.baseFs.renamePromise(t,i),async()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})}),async(n,{subPath:s})=>await this.makeCallPromise(i,async()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})},async(o,{subPath:a})=>{if(n!==o)throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"});return await n.renamePromise(s,a)}))}renameSync(t,i){return this.makeCallSync(t,()=>this.makeCallSync(i,()=>this.baseFs.renameSync(t,i),()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})}),(n,{subPath:s})=>this.makeCallSync(i,()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})},(o,{subPath:a})=>{if(n!==o)throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"});return n.renameSync(s,a)}))}async copyFilePromise(t,i,n=0){let s=async(o,a,l,c)=>{if((n&qp.constants.COPYFILE_FICLONE_FORCE)!==0)throw Object.assign(new Error(`EXDEV: cross-device clone not permitted, copyfile '${a}' -> ${c}'`),{code:"EXDEV"});if(n&qp.constants.COPYFILE_EXCL&&await this.existsPromise(a))throw Object.assign(new Error(`EEXIST: file already exists, copyfile '${a}' -> '${c}'`),{code:"EEXIST"});let u;try{u=await o.readFilePromise(a)}catch{throw Object.assign(new Error(`EINVAL: invalid argument, copyfile '${a}' -> '${c}'`),{code:"EINVAL"})}await l.writeFilePromise(c,u)};return await this.makeCallPromise(t,async()=>await this.makeCallPromise(i,async()=>await this.baseFs.copyFilePromise(t,i,n),async(o,{subPath:a})=>await s(this.baseFs,t,o,a)),async(o,{subPath:a})=>await this.makeCallPromise(i,async()=>await s(o,a,this.baseFs,i),async(l,{subPath:c})=>o!==l?await s(o,a,l,c):await o.copyFilePromise(a,c,n)))}copyFileSync(t,i,n=0){let s=(o,a,l,c)=>{if((n&qp.constants.COPYFILE_FICLONE_FORCE)!==0)throw Object.assign(new Error(`EXDEV: cross-device clone not permitted, copyfile '${a}' -> ${c}'`),{code:"EXDEV"});if(n&qp.constants.COPYFILE_EXCL&&this.existsSync(a))throw Object.assign(new Error(`EEXIST: file already exists, copyfile '${a}' -> '${c}'`),{code:"EEXIST"});let u;try{u=o.readFileSync(a)}catch{throw Object.assign(new Error(`EINVAL: invalid argument, copyfile '${a}' -> '${c}'`),{code:"EINVAL"})}l.writeFileSync(c,u)};return this.makeCallSync(t,()=>this.makeCallSync(i,()=>this.baseFs.copyFileSync(t,i,n),(o,{subPath:a})=>s(this.baseFs,t,o,a)),(o,{subPath:a})=>this.makeCallSync(i,()=>s(o,a,this.baseFs,i),(l,{subPath:c})=>o!==l?s(o,a,l,c):o.copyFileSync(a,c,n)))}async appendFilePromise(t,i,n){return await this.makeCallPromise(t,async()=>await this.baseFs.appendFilePromise(t,i,n),async(s,{subPath:o})=>await s.appendFilePromise(o,i,n))}appendFileSync(t,i,n){return this.makeCallSync(t,()=>this.baseFs.appendFileSync(t,i,n),(s,{subPath:o})=>s.appendFileSync(o,i,n))}async writeFilePromise(t,i,n){return await this.makeCallPromise(t,async()=>await this.baseFs.writeFilePromise(t,i,n),async(s,{subPath:o})=>await s.writeFilePromise(o,i,n))}writeFileSync(t,i,n){return this.makeCallSync(t,()=>this.baseFs.writeFileSync(t,i,n),(s,{subPath:o})=>s.writeFileSync(o,i,n))}async unlinkPromise(t){return await this.makeCallPromise(t,async()=>await this.baseFs.unlinkPromise(t),async(i,{subPath:n})=>await i.unlinkPromise(n))}unlinkSync(t){return this.makeCallSync(t,()=>this.baseFs.unlinkSync(t),(i,{subPath:n})=>i.unlinkSync(n))}async utimesPromise(t,i,n){return await this.makeCallPromise(t,async()=>await this.baseFs.utimesPromise(t,i,n),async(s,{subPath:o})=>await s.utimesPromise(o,i,n))}utimesSync(t,i,n){return this.makeCallSync(t,()=>this.baseFs.utimesSync(t,i,n),(s,{subPath:o})=>s.utimesSync(o,i,n))}async mkdirPromise(t,i){return await this.makeCallPromise(t,async()=>await this.baseFs.mkdirPromise(t,i),async(n,{subPath:s})=>await n.mkdirPromise(s,i))}mkdirSync(t,i){return this.makeCallSync(t,()=>this.baseFs.mkdirSync(t,i),(n,{subPath:s})=>n.mkdirSync(s,i))}async rmdirPromise(t,i){return await this.makeCallPromise(t,async()=>await this.baseFs.rmdirPromise(t,i),async(n,{subPath:s})=>await n.rmdirPromise(s,i))}rmdirSync(t,i){return this.makeCallSync(t,()=>this.baseFs.rmdirSync(t,i),(n,{subPath:s})=>n.rmdirSync(s,i))}async linkPromise(t,i){return await this.makeCallPromise(i,async()=>await this.baseFs.linkPromise(t,i),async(n,{subPath:s})=>await n.linkPromise(t,s))}linkSync(t,i){return this.makeCallSync(i,()=>this.baseFs.linkSync(t,i),(n,{subPath:s})=>n.linkSync(t,s))}async symlinkPromise(t,i,n){return await this.makeCallPromise(i,async()=>await this.baseFs.symlinkPromise(t,i,n),async(s,{subPath:o})=>await s.symlinkPromise(t,o))}symlinkSync(t,i,n){return this.makeCallSync(i,()=>this.baseFs.symlinkSync(t,i,n),(s,{subPath:o})=>s.symlinkSync(t,o))}async readFilePromise(t,i){return this.makeCallPromise(t,async()=>{switch(i){case"utf8":return await this.baseFs.readFilePromise(t,i);default:return await this.baseFs.readFilePromise(t,i)}},async(n,{subPath:s})=>await n.readFilePromise(s,i))}readFileSync(t,i){return this.makeCallSync(t,()=>{switch(i){case"utf8":return this.baseFs.readFileSync(t,i);default:return this.baseFs.readFileSync(t,i)}},(n,{subPath:s})=>n.readFileSync(s,i))}async readdirPromise(t,i){return await this.makeCallPromise(t,async()=>await this.baseFs.readdirPromise(t,i),async(n,{subPath:s})=>await n.readdirPromise(s,i),{requireSubpath:!1})}readdirSync(t,i){return this.makeCallSync(t,()=>this.baseFs.readdirSync(t,i),(n,{subPath:s})=>n.readdirSync(s,i),{requireSubpath:!1})}async readlinkPromise(t){return await this.makeCallPromise(t,async()=>await this.baseFs.readlinkPromise(t),async(i,{subPath:n})=>await i.readlinkPromise(n))}readlinkSync(t){return this.makeCallSync(t,()=>this.baseFs.readlinkSync(t),(i,{subPath:n})=>i.readlinkSync(n))}async truncatePromise(t,i){return await this.makeCallPromise(t,async()=>await this.baseFs.truncatePromise(t,i),async(n,{subPath:s})=>await n.truncatePromise(s,i))}truncateSync(t,i){return this.makeCallSync(t,()=>this.baseFs.truncateSync(t,i),(n,{subPath:s})=>n.truncateSync(s,i))}async ftruncatePromise(t,i){if((t&un)!==zi)return this.baseFs.ftruncatePromise(t,i);let n=this.fdMap.get(t);if(typeof n>"u")throw Hr("ftruncate");let[s,o]=n;return s.ftruncatePromise(o,i)}ftruncateSync(t,i){if((t&un)!==zi)return this.baseFs.ftruncateSync(t,i);let n=this.fdMap.get(t);if(typeof n>"u")throw Hr("ftruncateSync");let[s,o]=n;return s.ftruncateSync(o,i)}watch(t,i,n){return this.makeCallSync(t,()=>this.baseFs.watch(t,i,n),(s,{subPath:o})=>s.watch(o,i,n))}watchFile(t,i,n){return this.makeCallSync(t,()=>this.baseFs.watchFile(t,i,n),()=>iI(this,t,i,n))}unwatchFile(t,i){return this.makeCallSync(t,()=>this.baseFs.unwatchFile(t,i),()=>Gp(this,t,i))}async makeCallPromise(t,i,n,{requireSubpath:s=!0}={}){if(typeof 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`;await M.changeFilePromise(t,i,{automaticNewlines:!0}),this.manifest.raw=e}};var x$=6,OMe=1,MMe=/ *, */g,P$=/\/$/,UMe=32,KMe=(0,JN.promisify)(WN.default.gzip),HMe=(0,JN.promisify)(WN.default.gunzip),es=(t=>(t.UpdateLockfile="update-lockfile",t.SkipBuild="skip-build",t))(es||{}),jN={restoreInstallersCustomData:["installersCustomData"],restoreResolutions:["accessibleLocators","conditionalLocators","disabledLocators","optionalBuilds","storedDescriptors","storedResolutions","storedPackages","lockFileChecksum"],restoreBuildState:["storedBuildState"]},D$=r=>tn(`${OMe}`,r),je=class{constructor(e,{configuration:t}){this.resolutionAliases=new Map;this.workspaces=[];this.workspacesByCwd=new Map;this.workspacesByIdent=new Map;this.storedResolutions=new Map;this.storedDescriptors=new Map;this.storedPackages=new Map;this.storedChecksums=new Map;this.storedBuildState=new Map;this.accessibleLocators=new Set;this.conditionalLocators=new Set;this.disabledLocators=new Set;this.originalPackages=new Map;this.optionalBuilds=new Set;this.lockfileNeedsRefresh=!1;this.peerRequirements=new Map;this.installersCustomData=new Map;this.lockFileChecksum=null;this.installStateChecksum=null;this.configuration=t,this.cwd=e}static async find(e,t){var p,C,y;if(!e.projectCwd)throw new be(`No project found in ${t}`);let i=e.projectCwd,n=t,s=null;for(;s!==e.projectCwd;){if(s=n,M.existsSync(x.join(s,xt.manifest))){i=s;break}n=x.dirname(s)}let o=new je(e.projectCwd,{configuration:e});(p=ye.telemetry)==null||p.reportProject(o.cwd),await o.setupResolutions(),await o.setupWorkspaces(),(C=ye.telemetry)==null||C.reportWorkspaceCount(o.workspaces.length),(y=ye.telemetry)==null||y.reportDependencyCount(o.workspaces.reduce((B,v)=>B+v.manifest.dependencies.size+v.manifest.devDependencies.size,0));let a=o.tryWorkspaceByCwd(i);if(a)return{project:o,workspace:a,locator:a.anchoredLocator};let l=await o.findLocatorForLocation(`${i}/`,{strict:!0});if(l)return{project:o,locator:l,workspace:null};let c=$e(e,o.cwd,Ke.PATH),u=$e(e,x.relative(o.cwd,i),Ke.PATH),g=`- If ${c} isn't intended to be a project, remove any yarn.lock and/or package.json file there.`,f=`- If ${c} is intended to be a project, it might be that you forgot to list ${u} in its workspace configuration.`,h=`- Finally, if ${c} is fine and you intend ${u} to be treated as a completely separate project (not even a workspace), create an empty yarn.lock file in it.`;throw new be(`The nearest package directory (${$e(e,i,Ke.PATH)}) doesn't seem to be part of the project declared in ${$e(e,o.cwd,Ke.PATH)}.
${[g,f,h].join(`
`)}`)}async setupResolutions(){var i;this.storedResolutions=new Map,this.storedDescriptors=new Map,this.storedPackages=new Map,this.lockFileChecksum=null;let e=x.join(this.cwd,this.configuration.get("lockfileFilename")),t=this.configuration.get("defaultLanguageName");if(M.existsSync(e)){let n=await M.readFilePromise(e,"utf8");this.lockFileChecksum=D$(n);let s=yi(n);if(s.__metadata){let o=s.__metadata.version,a=s.__metadata.cacheKey;this.lockfileNeedsRefresh=o<x$;for(let l of Object.keys(s)){if(l==="__metadata")continue;let c=s[l];if(typeof c.resolution>"u")throw new Error(`Assertion failed: Expected the lockfile entry to have a resolution field (${l})`);let u=Dc(c.resolution,!0),g=new ot;g.load(c,{yamlCompatibilityMode:!0});let f=g.version,h=g.languageName||t,p=c.linkType.toUpperCase(),C=(i=c.conditions)!=null?i:null,y=g.dependencies,B=g.peerDependencies,v=g.dependenciesMeta,D=g.peerDependenciesMeta,L=g.bin;if(c.checksum!=null){let j=typeof a<"u"&&!c.checksum.includes("/")?`${a}/${c.checksum}`:c.checksum;this.storedChecksums.set(u.locatorHash,j)}let H={...u,version:f,languageName:h,linkType:p,conditions:C,dependencies:y,peerDependencies:B,dependenciesMeta:v,peerDependenciesMeta:D,bin:L};this.originalPackages.set(H.locatorHash,H);for(let j of l.split(MMe)){let $=WA(j);this.storedDescriptors.set($.descriptorHash,$),this.storedResolutions.set($.descriptorHash,u.locatorHash)}}}}}async setupWorkspaces(){this.workspaces=[],this.workspacesByCwd=new Map,this.workspacesByIdent=new Map;let e=new Set,t=(0,_0.default)(4),i=async(n,s)=>{if(e.has(s))return n;e.add(s);let o=new bh(s,{project:this});await t(()=>o.setup());let a=n.then(()=>{this.addWorkspace(o);let l=this.storedPackages.get(o.anchoredLocator.locatorHash);l&&(o.dependencies=l.dependencies)});return Array.from(o.workspacesCwds).reduce(i,a)};await i(Promise.resolve(),this.cwd)}addWorkspace(e){let t=this.workspacesByIdent.get(e.locator.identHash);if(typeof t<"u")throw new Error(`Duplicate workspace name ${Ai(this.configuration,e.locator)}: ${U.fromPortablePath(e.cwd)} conflicts with ${U.fromPortablePath(t.cwd)}`);this.workspaces.push(e),this.workspacesByCwd.set(e.cwd,e),this.workspacesByIdent.set(e.locator.identHash,e)}get topLevelWorkspace(){return this.getWorkspaceByCwd(this.cwd)}tryWorkspaceByCwd(e){x.isAbsolute(e)||(e=x.resolve(this.cwd,e)),e=x.normalize(e).replace(/\/+$/,"");let t=this.workspacesByCwd.get(e);return t||null}getWorkspaceByCwd(e){let t=this.tryWorkspaceByCwd(e);if(!t)throw new Error(`Workspace not found (${e})`);return t}tryWorkspaceByFilePath(e){let t=null;for(let i of this.workspaces)x.relative(i.cwd,e).startsWith("../")||t&&t.cwd.length>=i.cwd.length||(t=i);return t||null}getWorkspaceByFilePath(e){let t=this.tryWorkspaceByFilePath(e);if(!t)throw new Error(`Workspace not found (${e})`);return t}tryWorkspaceByIdent(e){let t=this.workspacesByIdent.get(e.identHash);return typeof t>"u"?null:t}getWorkspaceByIdent(e){let t=this.tryWorkspaceByIdent(e);if(!t)throw new Error(`Workspace not found (${Ai(this.configuration,e)})`);return t}tryWorkspaceByDescriptor(e){let t=this.tryWorkspaceByIdent(e);return t===null||(JA(e)&&(e=iC(e)),!t.accepts(e.range))?null:t}getWorkspaceByDescriptor(e){let t=this.tryWorkspaceByDescriptor(e);if(t===null)throw new Error(`Workspace not found (${tr(this.configuration,e)})`);return t}tryWorkspaceByLocator(e){let t=this.tryWorkspaceByIdent(e);return t===null||(jo(e)&&(e=nC(e)),t.locator.locatorHash!==e.locatorHash&&t.anchoredLocator.locatorHash!==e.locatorHash)?null:t}getWorkspaceByLocator(e){let t=this.tryWorkspaceByLocator(e);if(!t)throw new Error(`Workspace not found (${mt(this.configuration,e)})`);return t}refreshWorkspaceDependencies(){for(let e of this.workspaces){let t=this.storedPackages.get(e.anchoredLocator.locatorHash);if(!t)throw new Error(`Assertion failed: Expected workspace ${lC(this.configuration,e)} (${$e(this.configuration,x.join(e.cwd,xt.manifest),Ke.PATH)}) to have been resolved. Run "yarn install" to update the lockfile`);e.dependencies=new Map(t.dependencies)}}deleteDescriptor(e){this.storedResolutions.delete(e),this.storedDescriptors.delete(e)}deleteLocator(e){this.originalPackages.delete(e),this.storedPackages.delete(e),this.accessibleLocators.delete(e)}forgetResolution(e){if("descriptorHash"in e){let t=this.storedResolutions.get(e.descriptorHash);this.deleteDescriptor(e.descriptorHash);let i=new Set(this.storedResolutions.values());typeof t<"u"&&!i.has(t)&&this.deleteLocator(t)}if("locatorHash"in e){this.deleteLocator(e.locatorHash);for(let[t,i]of this.storedResolutions)i===e.locatorHash&&this.deleteDescriptor(t)}}forgetTransientResolutions(){let e=this.configuration.makeResolver(),t=new Map;for(let[i,n]of this.storedResolutions.entries()){let s=t.get(n);s||t.set(n,s=new Set),s.add(i)}for(let i of this.originalPackages.values()){let n;try{n=e.shouldPersistResolution(i,{project:this,resolver:e})}catch{n=!1}if(!n){this.deleteLocator(i.locatorHash);let s=t.get(i.locatorHash);if(s){t.delete(i.locatorHash);for(let o of s)this.deleteDescriptor(o)}}}}forgetVirtualResolutions(){for(let e of this.storedPackages.values())for(let[t,i]of e.dependencies)JA(i)&&e.dependencies.set(t,iC(i))}getDependencyMeta(e,t){let i={},s=this.topLevelWorkspace.manifest.dependenciesMeta.get(Ot(e));if(!s)return i;let o=s.get(null);if(o&&Object.assign(i,o),t===null||!k$.default.valid(t))return i;for(let[a,l]of s)a!==null&&a===t&&Object.assign(i,l);return i}async findLocatorForLocation(e,{strict:t=!1}={}){let i=new ti,n=this.configuration.getLinkers(),s={project:this,report:i};for(let o of n){let a=await o.findPackageLocator(e,s);if(a){if(t&&(await o.findPackageLocation(a,s)).replace(P$,"")!==e.replace(P$,""))continue;return a}}return null}async resolveEverything(e){if(!this.workspacesByCwd||!this.workspacesByIdent)throw new Error("Workspaces must have been setup before calling this function");this.forgetVirtualResolutions(),e.lockfileOnly||this.forgetTransientResolutions();let t=e.resolver||this.configuration.makeResolver(),i=new W0(t);await i.setup(this,{report:e.report});let n=e.lockfileOnly?[new V0(t)]:[i,t],s=new kf([new z0(t),...n]),o=this.configuration.makeFetcher(),a=e.lockfileOnly?{project:this,report:e.report,resolver:s}:{project:this,report:e.report,resolver:s,fetchOptions:{project:this,cache:e.cache,checksums:this.storedChecksums,report:e.report,fetcher:o,cacheOptions:{mirrorWriteOnly:!0}}},l=new Map,c=new Map,u=new Map,g=new Map,f=new Map,h=new Map,p=this.topLevelWorkspace.anchoredLocator,C=new Set,y=[],B=$D(),v=this.configuration.getSupportedArchitectures();await e.report.startProgressPromise(vi.progressViaTitle(),async W=>{let _=async O=>{let F=await df(async()=>await s.resolve(O,a),ke=>`${mt(this.configuration,O)}: ${ke}`);if(!oC(O,F))throw new Error(`Assertion failed: The locator cannot be changed by the resolver (went from ${mt(this.configuration,O)} to ${mt(this.configuration,F)})`);g.set(F.locatorHash,F);let ue=this.configuration.normalizePackage(F);for(let[ke,Fe]of ue.dependencies){let Ne=await this.configuration.reduceHook(le=>le.reduceDependency,Fe,this,ue,Fe,{resolver:s,resolveOptions:a});if(!sC(Fe,Ne))throw new Error("Assertion failed: The descriptor ident cannot be changed through aliases");let oe=s.bindDescriptor(Ne,O,a);ue.dependencies.set(ke,oe)}let pe=io([...ue.dependencies.values()].map(ke=>re(ke)));return y.push(pe),pe.catch(()=>{}),c.set(ue.locatorHash,ue),ue},A=async O=>{let F=f.get(O.locatorHash);if(typeof F<"u")return F;let ue=Promise.resolve().then(()=>_(O));return f.set(O.locatorHash,ue),ue},Ae=async(O,F)=>{let ue=await re(F);return l.set(O.descriptorHash,O),u.set(O.descriptorHash,ue.locatorHash),ue},ge=async O=>{W.setTitle(tr(this.configuration,O));let F=this.resolutionAliases.get(O.descriptorHash);if(typeof F<"u")return Ae(O,this.storedDescriptors.get(F));let ue=s.getResolutionDependencies(O,a),pe=new Map(await io(ue.map(async Ne=>{let oe=s.bindDescriptor(Ne,p,a),le=await re(oe);return C.add(le.locatorHash),[Ne.descriptorHash,le]}))),Fe=(await df(async()=>await s.getCandidates(O,pe,a),Ne=>`${tr(this.configuration,O)}: ${Ne}`))[0];if(typeof Fe>"u")throw new Error(`${tr(this.configuration,O)}: No candidates found`);return l.set(O.descriptorHash,O),u.set(O.descriptorHash,Fe.locatorHash),A(Fe)},re=O=>{let F=h.get(O.descriptorHash);if(typeof F<"u")return F;l.set(O.descriptorHash,O);let ue=Promise.resolve().then(()=>ge(O));return h.set(O.descriptorHash,ue),ue};for(let O of this.workspaces){let F=O.anchoredDescriptor;y.push(re(F))}for(;y.length>0;){let O=[...y];y.length=0,await io(O)}});let D=new Set(this.resolutionAliases.values()),L=new Set(c.keys()),H=new Set,j=new Map;GMe({project:this,report:e.report,accessibleLocators:H,volatileDescriptors:D,optionalBuilds:L,peerRequirements:j,allDescriptors:l,allResolutions:u,allPackages:c});for(let W of C)L.delete(W);for(let W of D)l.delete(W),u.delete(W);let $=new Set,V=new Set;for(let W of c.values())W.conditions!=null&&(!L.has(W.locatorHash)||(kw(W,v)||(kw(W,B)&&e.report.reportWarningOnce(77,`${mt(this.configuration,W)}: Your current architecture (${process.platform}-${process.arch}) is supported by this package, but is missing from the ${$e(this.configuration,"supportedArchitectures",xi.SETTING)} setting`),V.add(W.locatorHash)),$.add(W.locatorHash)));this.storedResolutions=u,this.storedDescriptors=l,this.storedPackages=c,this.accessibleLocators=H,this.conditionalLocators=$,this.disabledLocators=V,this.originalPackages=g,this.optionalBuilds=L,this.peerRequirements=j,this.refreshWorkspaceDependencies()}async fetchEverything({cache:e,report:t,fetcher:i,mode:n}){let s={mockedPackages:this.disabledLocators,unstablePackages:this.conditionalLocators},o=i||this.configuration.makeFetcher(),a={checksums:this.storedChecksums,project:this,cache:e,fetcher:o,report:t,cacheOptions:s},l=Array.from(new Set(Bn(this.storedResolutions.values(),[f=>{let h=this.storedPackages.get(f);if(!h)throw new Error("Assertion failed: The locator should have been registered");return Es(h)}])));n==="update-lockfile"&&(l=l.filter(f=>!this.storedChecksums.has(f)));let c=!1,u=vi.progressViaCounter(l.length);await t.reportProgress(u);let g=(0,_0.default)(UMe);if(await t.startCacheReport(async()=>{await io(l.map(f=>g(async()=>{let h=this.storedPackages.get(f);if(!h)throw new Error("Assertion failed: The locator should have been registered");if(jo(h))return;let p;try{p=await o.fetch(h,a)}catch(C){C.message=`${mt(this.configuration,h)}: ${C.message}`,t.reportExceptionOnce(C),c=C;return}p.checksum!=null?this.storedChecksums.set(h.locatorHash,p.checksum):this.storedChecksums.delete(h.locatorHash),p.releaseFs&&p.releaseFs()}).finally(()=>{u.tick()})))}),c)throw c}async linkEverything({cache:e,report:t,fetcher:i,mode:n}){var Ae,ge,re;let s={mockedPackages:this.disabledLocators,unstablePackages:this.conditionalLocators,skipIntegrityCheck:!0},o=i||this.configuration.makeFetcher(),a={checksums:this.storedChecksums,project:this,cache:e,fetcher:o,report:t,skipIntegrityCheck:!0,cacheOptions:s},l=this.configuration.getLinkers(),c={project:this,report:t},u=new Map(l.map(O=>{let F=O.makeInstaller(c),ue=F.getCustomDataKey(),pe=this.installersCustomData.get(ue);return typeof pe<"u"&&F.attachCustomData(pe),[O,F]})),g=new Map,f=new Map,h=new Map,p=new Map(await io([...this.accessibleLocators].map(async O=>{let F=this.storedPackages.get(O);if(!F)throw new Error("Assertion failed: The locator should have been registered");return[O,await o.fetch(F,a)]}))),C=[];for(let O of this.accessibleLocators){let F=this.storedPackages.get(O);if(typeof F>"u")throw new Error("Assertion failed: The locator should have been registered");let ue=p.get(F.locatorHash);if(typeof ue>"u")throw new Error("Assertion failed: The fetch result should have been registered");let pe=[],ke=Ne=>{pe.push(Ne)},Fe=this.tryWorkspaceByLocator(F);if(Fe!==null){let Ne=[],{scripts:oe}=Fe.manifest;for(let Be of["preinstall","install","postinstall"])oe.has(Be)&&Ne.push([0,Be]);try{for(let[Be,fe]of u)if(Be.supportsPackage(F,c)&&(await fe.installPackage(F,ue,{holdFetchResult:ke})).buildDirective!==null)throw new Error("Assertion failed: Linkers can't return build directives for workspaces; this responsibility befalls to the Yarn core")}finally{pe.length===0?(Ae=ue.releaseFs)==null||Ae.call(ue):C.push(io(pe).catch(()=>{}).then(()=>{var Be;(Be=ue.releaseFs)==null||Be.call(ue)}))}let le=x.join(ue.packageFs.getRealPath(),ue.prefixPath);f.set(F.locatorHash,le),!jo(F)&&Ne.length>0&&h.set(F.locatorHash,{directives:Ne,buildLocations:[le]})}else{let Ne=l.find(Be=>Be.supportsPackage(F,c));if(!Ne)throw new at(12,`${mt(this.configuration,F)} isn't supported by any available linker`);let oe=u.get(Ne);if(!oe)throw new Error("Assertion failed: The installer should have been registered");let le;try{le=await oe.installPackage(F,ue,{holdFetchResult:ke})}finally{pe.length===0?(ge=ue.releaseFs)==null||ge.call(ue):C.push(io(pe).then(()=>{}).then(()=>{var Be;(Be=ue.releaseFs)==null||Be.call(ue)}))}g.set(F.locatorHash,Ne),f.set(F.locatorHash,le.packageLocation),le.buildDirective&&le.buildDirective.length>0&&le.packageLocation&&h.set(F.locatorHash,{directives:le.buildDirective,buildLocations:[le.packageLocation]})}}let y=new Map;for(let O of this.accessibleLocators){let F=this.storedPackages.get(O);if(!F)throw new Error("Assertion failed: The locator should have been registered");let ue=this.tryWorkspaceByLocator(F)!==null,pe=async(ke,Fe)=>{let Ne=f.get(F.locatorHash);if(typeof Ne>"u")throw new Error(`Assertion failed: The package (${mt(this.configuration,F)}) should have been registered`);let oe=[];for(let le of F.dependencies.values()){let Be=this.storedResolutions.get(le.descriptorHash);if(typeof Be>"u")throw new Error(`Assertion failed: The resolution (${tr(this.configuration,le)}, from ${mt(this.configuration,F)})should have been registered`);let fe=this.storedPackages.get(Be);if(typeof fe>"u")throw new Error(`Assertion failed: The package (${Be}, resolved from ${tr(this.configuration,le)}) should have been registered`);let ae=this.tryWorkspaceByLocator(fe)===null?g.get(Be):null;if(typeof ae>"u")throw new Error(`Assertion failed: The package (${Be}, resolved from ${tr(this.configuration,le)}) should have been registered`);ae===ke||ae===null?f.get(fe.locatorHash)!==null&&oe.push([le,fe]):!ue&&Ne!==null&&hf(y,Be).push(Ne)}Ne!==null&&await Fe.attachInternalDependencies(F,oe)};if(ue)for(let[ke,Fe]of u)ke.supportsPackage(F,c)&&await pe(ke,Fe);else{let ke=g.get(F.locatorHash);if(!ke)throw new Error("Assertion failed: The linker should have been found");let Fe=u.get(ke);if(!Fe)throw new Error("Assertion failed: The installer should have been registered");await pe(ke,Fe)}}for(let[O,F]of y){let ue=this.storedPackages.get(O);if(!ue)throw new Error("Assertion failed: The package should have been registered");let pe=g.get(ue.locatorHash);if(!pe)throw new Error("Assertion failed: The linker should have been found");let ke=u.get(pe);if(!ke)throw new Error("Assertion failed: The installer should have been registered");await ke.attachExternalDependents(ue,F)}let B=new Map;for(let O of u.values()){let F=await O.finalizeInstall();for(let ue of(re=F==null?void 0:F.records)!=null?re:[])h.set(ue.locatorHash,{directives:ue.buildDirective,buildLocations:ue.buildLocations});typeof(F==null?void 0:F.customData)<"u"&&B.set(O.getCustomDataKey(),F.customData)}if(this.installersCustomData=B,await io(C),n==="skip-build")return;let v=new Set(this.storedPackages.keys()),D=new Set(h.keys());for(let O of D)v.delete(O);let L=(0,X0.createHash)("sha512");L.update(process.versions.node),await this.configuration.triggerHook(O=>O.globalHashGeneration,this,O=>{L.update("\0"),L.update(O)});let H=L.digest("hex"),j=new Map,$=O=>{let F=j.get(O.locatorHash);if(typeof F<"u")return F;let ue=this.storedPackages.get(O.locatorHash);if(typeof ue>"u")throw new Error("Assertion failed: The package should have been registered");let pe=(0,X0.createHash)("sha512");pe.update(O.locatorHash),j.set(O.locatorHash,"<recursive>");for(let ke of ue.dependencies.values()){let Fe=this.storedResolutions.get(ke.descriptorHash);if(typeof Fe>"u")throw new Error(`Assertion failed: The resolution (${tr(this.configuration,ke)}) should have been registered`);let Ne=this.storedPackages.get(Fe);if(typeof Ne>"u")throw new Error("Assertion failed: The package should have been registered");pe.update($(Ne))}return F=pe.digest("hex"),j.set(O.locatorHash,F),F},V=(O,F)=>{let ue=(0,X0.createHash)("sha512");ue.update(H),ue.update($(O));for(let pe of F)ue.update(pe);return ue.digest("hex")},W=new Map,_=!1,A=O=>{let F=new Set([O.locatorHash]);for(let ue of F){let pe=this.storedPackages.get(ue);if(!pe)throw new Error("Assertion failed: The package should have been registered");for(let ke of pe.dependencies.values()){let Fe=this.storedResolutions.get(ke.descriptorHash);if(!Fe)throw new Error(`Assertion failed: The resolution (${tr(this.configuration,ke)}) should have been registered`);if(Fe!==O.locatorHash&&D.has(Fe))return!1;let Ne=this.storedPackages.get(Fe);if(!Ne)throw new Error("Assertion failed: The package should have been registered");let oe=this.tryWorkspaceByLocator(Ne);if(oe){if(oe.anchoredLocator.locatorHash!==O.locatorHash&&D.has(oe.anchoredLocator.locatorHash))return!1;F.add(oe.anchoredLocator.locatorHash)}F.add(Fe)}}return!0};for(;D.size>0;){let O=D.size,F=[];for(let ue of D){let pe=this.storedPackages.get(ue);if(!pe)throw new Error("Assertion failed: The package should have been registered");if(!A(pe))continue;let ke=h.get(pe.locatorHash);if(!ke)throw new Error("Assertion failed: The build directive should have been registered");let Fe=V(pe,ke.buildLocations);if(this.storedBuildState.get(pe.locatorHash)===Fe){W.set(pe.locatorHash,Fe),D.delete(ue);continue}_||(await this.persistInstallStateFile(),_=!0),this.storedBuildState.has(pe.locatorHash)?t.reportInfo(8,`${mt(this.configuration,pe)} must be rebuilt because its dependency tree changed`):t.reportInfo(7,`${mt(this.configuration,pe)} must be built because it never has been before or the last one failed`);let Ne=ke.buildLocations.map(async oe=>{if(!x.isAbsolute(oe))throw new Error(`Assertion failed: Expected the build location to be absolute (not ${oe})`);for(let[le,Be]of ke.directives){let fe=`# This file contains the result of Yarn building a package (${Es(pe)})
`;switch(le){case 0:fe+=`# Script name: ${Be}
`;break;case 1:fe+=`# Script code: ${Be}
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you may not need this rule anymore.`);break;case"redundant":e.report.reportWarning(69,`${f}: This rule seems redundant when applied on the original package; the extension may have been applied upstream.`);break}}if(n!==null){let c=Vl(n,this.generateLockfile());if(c!==n){let u=IZ(i,i,n,c,void 0,void 0,{maxEditLength:100});if(u){e.report.reportSeparator();for(let g of u.hunks){e.report.reportInfo(null,`@@ -${g.oldStart},${g.oldLines} +${g.newStart},${g.newLines} @@`);for(let f of g.lines)f.startsWith("+")?e.report.reportError(28,$e(this.configuration,f,Ke.ADDED)):f.startsWith("-")?e.report.reportError(28,$e(this.configuration,f,Ke.REMOVED)):e.report.reportInfo(null,$e(this.configuration,f,"grey"))}e.report.reportSeparator()}throw new at(28,"The lockfile would have been modified by this install, which is explicitly forbidden.")}}});for(let c of this.configuration.packageExtensions.values())for(let[,u]of c)for(let g of u)g.userProvided&&g.status==="active"&&((l=ye.telemetry)==null||l.reportPackageExtension(Bc(g,Ke.PACKAGE_EXTENSION)));await e.report.startTimerPromise("Fetch step",async()=>{await this.fetchEverything(e),(typeof e.persistProject>"u"||e.persistProject)&&e.mode!=="update-lockfile"&&await this.cacheCleanup(e)});let s=e.immutable?[...new Set(this.configuration.get("immutablePatterns"))].sort():[],o=await Promise.all(s.map(async c=>bw(c,{cwd:this.cwd})));(typeof e.persistProject>"u"||e.persistProject)&&await this.persist(),await e.report.startTimerPromise("Link step",async()=>{if(e.mode==="update-lockfile"){e.report.reportWarning(73,`Skipped due to ${$e(this.configuration,"mode=update-lockfile",Ke.CODE)}`);return}await this.linkEverything(e);let c=await Promise.all(s.map(async u=>bw(u,{cwd:this.cwd})));for(let u=0;u<s.length;++u)o[u]!==c[u]&&e.report.reportError(64,`The checksum for ${s[u]} has been modified by this install, which is explicitly forbidden.`)}),await this.persistInstallStateFile(),await this.configuration.triggerHook(c=>c.afterAllInstalled,this,e)}generateLockfile(){let e=new Map;for(let[n,s]of this.storedResolutions.entries()){let o=e.get(s);o||e.set(s,o=new Set),o.add(n)}let t={};t.__metadata={version:x$,cacheKey:void 0};for(let[n,s]of e.entries()){let o=this.originalPackages.get(n);if(!o)continue;let a=[];for(let f of s){let h=this.storedDescriptors.get(f);if(!h)throw new Error("Assertion failed: The descriptor should have been registered");a.push(h)}let l=a.map(f=>bn(f)).sort().join(", "),c=new ot;c.version=o.linkType==="HARD"?o.version:"0.0.0-use.local",c.languageName=o.languageName,c.dependencies=new Map(o.dependencies),c.peerDependencies=new Map(o.peerDependencies),c.dependenciesMeta=new Map(o.dependenciesMeta),c.peerDependenciesMeta=new Map(o.peerDependenciesMeta),c.bin=new Map(o.bin);let u,g=this.storedChecksums.get(o.locatorHash);if(typeof g<"u"){let f=g.indexOf("/");if(f===-1)throw new Error("Assertion failed: Expected the checksum to reference its cache key");let h=g.slice(0,f),p=g.slice(f+1);typeof t.__metadata.cacheKey>"u"&&(t.__metadata.cacheKey=h),h===t.__metadata.cacheKey?u=p:u=g}t[l]={...c.exportTo({},{compatibilityMode:!1}),linkType:o.linkType.toLowerCase(),resolution:Es(o),checksum:u,conditions:o.conditions||void 0}}return`${[`# This file is generated by running "yarn install" inside your project.
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ie=re.dependencies.get(he.identHash);if(!ie&&sC(_,he)&&(W.identHash===_.identHash?ie=W:(ie=_t(_,W.range),e.set(ie.descriptorHash,ie),t.set(ie.descriptorHash,_.locatorHash),a.delete(ie.descriptorHash))),(!ie||ie.range==="missing:")&&ae.dependencies.has(he.identHash)){ae.peerDependencies.delete(he.identHash);continue}ie||(ie=_t(he,"missing:")),ae.dependencies.set(ie.identHash,ie),JA(ie)&&wc(h,ie.descriptorHash).add(ae.locatorHash),g.set(ie.identHash,ie),ie.range==="missing:"&&qe.add(ie.identHash),ne.set(he.identHash,(Y=A.get(he.identHash))!=null?Y:ae.locatorHash)}ae.dependencies=new Map(Bn(ae.dependencies,([he,ie])=>Ot(ie)))}),pe.push(()=>{if(!i.has(ae.locatorHash))return;let Y=c.get(Be.locatorHash);typeof Y=="number"&&Y>=2&&B();let he=c.get(Be.locatorHash),ie=typeof he<"u"?he+1:1;c.set(Be.locatorHash,ie),D(fe,ae,ne,{top:Ae,optional:oe}),c.set(Be.locatorHash,ie-1)}),ke.push(()=>{let Y=re.dependencies.get(Ne.identHash);if(typeof Y>"u")throw new Error("Assertion failed: Expected the peer 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ae>"u"){Be.set(fe,oe);continue}if(ae===oe)continue;i.delete(le.locatorHash),e.delete(oe.descriptorHash),t.delete(oe.descriptorHash),n.delete(le.locatorHash);let qe=h.get(oe.descriptorHash)||[],ne=[re.locatorHash,...qe];h.delete(oe.descriptorHash);for(let Y of ne){let he=i.get(Y);typeof he>"u"||(he.dependencies.get(oe.identHash).descriptorHash!==ae.descriptorHash&&(Fe=!1),he.dependencies.set(oe.identHash,ae))}}}while(!Fe);for(let Ne of[...pe,...ke])Ne()};for(let W of r.workspaces){let _=W.anchoredLocator;a.delete(W.anchoredDescriptor.descriptorHash),D(W.anchoredDescriptor,_,new Map,{top:_.locatorHash,optional:!1})}let H;(A=>(A[A.NotProvided=0]="NotProvided",A[A.NotCompatible=1]="NotCompatible"))(H||(H={}));let j=[];for(let[W,_]of C){let A=i.get(W);if(typeof A>"u")throw new Error("Assertion failed: Expected the root to be registered");let Ae=p.get(W);if(!(typeof Ae>"u"))for(let ge of _){let re=i.get(ge);if(!(typeof re>"u"))for(let[O,F]of Ae){let ue=en(O);if(re.peerDependencies.has(ue.identHash))continue;let pe=`p${tn(ge,O,W).slice(0,5)}`;o.set(pe,{subject:ge,requested:ue,rootRequester:W,allRequesters:F});let ke=A.dependencies.get(ue.identHash);if(typeof ke<"u"){let Fe=v(ke),Ne=(V=Fe.version)!=null?V:"0.0.0",oe=new Set;for(let Be of F){let fe=i.get(Be);if(typeof fe>"u")throw new Error("Assertion failed: Expected the link to be registered");let ae=fe.peerDependencies.get(ue.identHash);if(typeof ae>"u")throw new Error("Assertion failed: Expected the ident to be registered");oe.add(ae.range)}[...oe].every(Be=>{if(Be.startsWith(jr.protocol)){if(!r.tryWorkspaceByLocator(Fe))return!1;Be=Be.slice(jr.protocol.length),(Be==="^"||Be==="~")&&(Be="*")}return kc(Ne,Be)})||j.push({type:1,subject:re,requested:ue,requester:A,version:Ne,hash:pe,requirementCount:F.length})}else{let Fe=A.peerDependenciesMeta.get(O);Fe!=null&&Fe.optional||j.push({type:0,subject:re,requested:ue,requester:A,hash:pe})}}}}let $=[W=>jD(W.subject),W=>Ot(W.requested),W=>`${W.type}`];l==null||l.startSectionSync({reportFooter:()=>{l.reportWarning(0,`Some peer dependencies are incorrectly met; run ${$e(r.configuration,"yarn explain peer-requirements <hash>",Ke.CODE)} for details, where ${$e(r.configuration,"<hash>",Ke.CODE)} is the six-letter p-prefixed code`)},skipIfEmpty:!0},()=>{for(let W of Bn(j,$))switch(W.type){case 0:l.reportWarning(2,`${mt(r.configuration,W.subject)} doesn't provide ${Ai(r.configuration,W.requested)} (${$e(r.configuration,W.hash,Ke.CODE)}), requested by ${Ai(r.configuration,W.requester)}`);break;case 1:{let _=W.requirementCount>1?"and some of its descendants request":"requests";l.reportWarning(60,`${mt(r.configuration,W.subject)} provides ${Ai(r.configuration,W.requested)} (${$e(r.configuration,W.hash,Ke.CODE)}) with version ${AC(r.configuration,W.version)}, which doesn't satisfy what ${Ai(r.configuration,W.requester)} ${_}`)}break}})}var Sh=class{constructor(e,t){this.values=new 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o=(y=this.interactive)!=null?y:t.get("preferInteractive"),a=Hm(this,i),l=[...o?["reuse"]:[],"project",...this.cached?["cache"]:[],"latest"],c=o?1/0:1,u=await Promise.all(this.packages.map(async B=>{let v=B.match(/^\.{0,2}\//)?await KT(B,{cwd:this.context.cwd,workspace:n}):P.tryParseDescriptor(B),D=B.match(/^(https?:|git@github)/);if(D)throw new be(`It seems you are trying to add a package using a ${ee.pretty(t,`${D[0]}...`,xi.RANGE)} url; we now require package names to be explicitly specified.
Try running the command again with the package name prefixed: ${ee.pretty(t,"yarn add",xi.CODE)} ${ee.pretty(t,P.makeDescriptor(P.makeIdent(null,"my-package"),`${D[0]}...`),xi.DESCRIPTOR)}`);if(!v)throw new be(`The ${ee.pretty(t,B,xi.CODE)} string didn't match the required format (package-name@range). Did you perhaps forget to explicitly reference the package name?`);let L=Cqe(n,v,{dev:this.dev,peer:this.peer,preferDev:this.preferDev,optional:this.optional});return await Promise.all(L.map(async j=>{let $=await Gm(v,{project:i,workspace:n,cache:s,target:j,modifier:a,strategies:l,maxResults:c});return{request:v,suggestedDescriptors:$,target:j}}))})).then(B=>B.flat()),g=await ra.start({configuration:t,stdout:this.context.stdout,suggestInstall:!1},async B=>{for(let{request:v,suggestedDescriptors:{suggestions:D,rejections:L}}of u)if(D.filter(j=>j.descriptor!==null).length===0){let[j]=L;if(typeof j>"u")throw new Error("Assertion failed: Expected an error to have been set");i.configuration.get("enableNetwork")?B.reportError(27,`${P.prettyDescriptor(t,v)} can't be resolved to a satisfying range`):B.reportError(27,`${P.prettyDescriptor(t,v)} can't be resolved to a satisfying range (note: network resolution has been disabled)`),B.reportSeparator(),B.reportExceptionOnce(j)}});if(g.hasErrors())return g.exitCode();let f=!1,h=[],p=[];for(let{suggestedDescriptors:{suggestions:B},target:v}of u){let D,L=B.filter(V=>V.descriptor!==null),H=L[0].descriptor,j=L.every(V=>P.areDescriptorsEqual(V.descriptor,H));L.length===1||j?D=H:(f=!0,{answer:D}=await(0,Nse.prompt)({type:"select",name:"answer",message:"Which range do you want to use?",choices:B.map(({descriptor:V,name:W,reason:_})=>V?{name:W,hint:_,descriptor:V}:{name:W,hint:_,disabled:!0}),onCancel:()=>process.exit(130),result(V){return this.find(V,"descriptor")},stdin:this.context.stdin,stdout:this.context.stdout}));let $=n.manifest[v].get(D.identHash);(typeof $>"u"||$.descriptorHash!==D.descriptorHash)&&(n.manifest[v].set(D.identHash,D),this.optional&&(v==="dependencies"?n.manifest.ensureDependencyMeta({...D,range:"unknown"}).optional=!0:v==="peerDependencies"&&(n.manifest.ensurePeerDependencyMeta({...D,range:"unknown"}).optional=!0)),typeof $>"u"?h.push([n,v,D,l]):p.push([n,v,$,D]))}return await t.triggerMultipleHooks(B=>B.afterWorkspaceDependencyAddition,h),await t.triggerMultipleHooks(B=>B.afterWorkspaceDependencyReplacement,p),f&&this.context.stdout.write(`
`),(await Ge.start({configuration:t,json:this.json,stdout:this.context.stdout,includeLogs:!this.context.quiet},async B=>{await i.install({cache:s,report:B,mode:this.mode})})).exitCode()}};Au.paths=[["add"]],Au.usage=ve.Usage({description:"add dependencies to the project",details:"\n This command adds a package to the package.json for the nearest workspace.\n\n - If it didn't exist before, the package will by default be added to the regular `dependencies` field, but this behavior can be overriden thanks to the `-D,--dev` flag (which will cause the dependency to be added to the `devDependencies` field instead) and the `-P,--peer` flag (which will do the same but for `peerDependencies`).\n\n - If the package was already listed in your dependencies, it will by default be upgraded whether it's part of your `dependencies` or `devDependencies` (it won't ever update `peerDependencies`, though).\n\n - If set, the `--prefer-dev` flag will operate as a more flexible `-D,--dev` in that it will add the package to your `devDependencies` if it isn't already listed in either `dependencies` or `devDependencies`, but it will also happily upgrade your `dependencies` if that's what you already use (whereas `-D,--dev` would throw an exception).\n\n - If set, the `-O,--optional` flag will add the package to the `optionalDependencies` field and, in combination with the `-P,--peer` flag, it will add the package as an optional peer dependency. If the package was already listed in your `dependencies`, it will be upgraded to `optionalDependencies`. If the package was already listed in your `peerDependencies`, in combination with the `-P,--peer` flag, it will be upgraded to an optional peer dependency: `\"peerDependenciesMeta\": { \"<package>\": { \"optional\": true } }`\n\n - If the added package doesn't specify a range at all its `latest` tag will be resolved and the returned version will be used to generate a new semver range (using the `^` modifier by default unless otherwise configured via the `defaultSemverRangePrefix` configuration, or the `~` modifier if `-T,--tilde` is specified, or no modifier at all if `-E,--exact` is specified). Two exceptions to this rule: the first one is that if the package is a workspace then its local version will be used, and the second one is that if you use `-P,--peer` the default range will be `*` and won't be resolved at all.\n\n - If the added package specifies a range (such as `^1.0.0`, `latest`, or `rc`), Yarn will add this range as-is in the resulting package.json entry (in particular, tags such as `rc` will be encoded as-is rather than being converted into a semver range).\n\n If the `--cached` option is used, Yarn will preferably reuse the highest version already used somewhere within the project, even if through a transitive dependency.\n\n If the `-i,--interactive` option is used (or if the `preferInteractive` settings is toggled on) the command will first try to check whether other workspaces in the project use the specified package and, if so, will offer to reuse them.\n\n If the `--mode=<mode>` option is set, Yarn will change which artifacts are generated. The modes currently supported are:\n\n - `skip-build` will not run the build scripts at all. Note that this is different from setting `enableScripts` to false because the latter will disable build scripts, and thus affect the content of the artifacts generated on disk, whereas the former will just disable the build step - but not the scripts themselves, which just won't run.\n\n - `update-lockfile` will skip the link step altogether, and only fetch packages that are missing from the lockfile (or that have no associated checksums). This mode is typically used by tools like Renovate or Dependabot to keep a lockfile up-to-date without incurring the full install cost.\n\n For a compilation of all the supported protocols, please consult the dedicated page from our website: https://yarnpkg.com/features/protocols.\n ",examples:[["Add a regular package to the current workspace","$0 add lodash"],["Add a specific version for a package to the current workspace","$0 add [email protected]"],["Add a package from a GitHub repository (the master branch) to the current workspace using a URL","$0 add lodash@https://github.com/lodash/lodash"],["Add a package from a GitHub repository (the master branch) to the current workspace using the GitHub protocol","$0 add lodash@github:lodash/lodash"],["Add a package from a GitHub repository (the master branch) to the current workspace using the GitHub protocol (shorthand)","$0 add lodash@lodash/lodash"],["Add a package from a specific branch of a GitHub repository to the current workspace using the GitHub protocol (shorthand)","$0 add lodash-es@lodash/lodash#es"]]});function Cqe(r,e,{dev:t,peer:i,preferDev:n,optional:s}){let o=r.manifest["dependencies"].has(e.identHash),a=r.manifest["devDependencies"].has(e.identHash),l=r.manifest["peerDependencies"].has(e.identHash);if((t||i)&&o)throw new be(`Package "${P.prettyIdent(r.project.configuration,e)}" is already listed as a regular dependency - remove the -D,-P flags or remove it from your dependencies first`);if(!t&&!i&&l)throw new be(`Package "${P.prettyIdent(r.project.configuration,e)}" is already listed as a peer dependency - use either of -D or -P, or remove it from your peer dependencies first`);if(s&&a)throw new be(`Package "${P.prettyIdent(r.project.configuration,e)}" is already listed as a dev dependency - remove the -O flag or remove it from your dev dependencies first`);if(s&&!i&&l)throw new be(`Package "${P.prettyIdent(r.project.configuration,e)}" is already listed as a peer dependency - remove the -O flag or add the -P flag or remove it from your peer dependencies first`);if((t||n)&&s)throw new be(`Package "${P.prettyIdent(r.project.configuration,e)}" cannot simultaneously be a dev dependency and an optional dependency`);let c=[];return i&&c.push("peerDependencies"),(t||n)&&c.push("devDependencies"),s&&c.push("dependencies"),c.length>0?c:a?["devDependencies"]:l?["peerDependencies"]:["dependencies"]}var lu=class extends De{constructor(){super(...arguments);this.verbose=z.Boolean("-v,--verbose",!1,{description:"Print both the binary name and the locator of the package that provides the binary"});this.json=z.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.name=z.String({required:!1})}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,locator:n}=await je.find(t,this.context.cwd);if(await i.restoreInstallState(),this.name){let a=(await Wt.getPackageAccessibleBinaries(n,{project:i})).get(this.name);if(!a)throw new be(`Couldn't find a binary named "${this.name}" for package "${P.prettyLocator(t,n)}"`);let[,l]=a;return this.context.stdout.write(`${l}
`),0}return(await Ge.start({configuration:t,json:this.json,stdout:this.context.stdout},async o=>{let a=await Wt.getPackageAccessibleBinaries(n,{project:i}),c=Array.from(a.keys()).reduce((u,g)=>Math.max(u,g.length),0);for(let[u,[g,f]]of a)o.reportJson({name:u,source:P.stringifyIdent(g),path:f});if(this.verbose)for(let[u,[g]]of a)o.reportInfo(null,`${u.padEnd(c," ")} ${P.prettyLocator(t,g)}`);else for(let u of a.keys())o.reportInfo(null,u)})).exitCode()}};lu.paths=[["bin"]],lu.usage=ve.Usage({description:"get the path to a binary script",details:`
When used without arguments, this command will print the list of all the binaries available in the current workspace. Adding the \`-v,--verbose\` flag will cause the output to contain both the binary name and the locator of the package that provides the binary.
When an argument is specified, this command will just print the path to the binary on the standard output and exit. Note that the reported path may be stored within a zip archive.
`,examples:[["List all the available binaries","$0 bin"],["Print the path to a specific binary","$0 bin eslint"]]});var cu=class extends De{constructor(){super(...arguments);this.mirror=z.Boolean("--mirror",!1,{description:"Remove the global cache files instead of the local cache files"});this.all=z.Boolean("--all",!1,{description:"Remove both the global cache files and the local cache files of the current project"})}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),i=await Rt.find(t);return(await Ge.start({configuration:t,stdout:this.context.stdout},async()=>{let s=(this.all||this.mirror)&&i.mirrorCwd!==null,o=!this.mirror;s&&(await M.removePromise(i.mirrorCwd),await t.triggerHook(a=>a.cleanGlobalArtifacts,t)),o&&await M.removePromise(i.cwd)})).exitCode()}};cu.paths=[["cache","clean"],["cache","clear"]],cu.usage=ve.Usage({description:"remove the shared cache files",details:`
This command will remove all the files from the cache.
`,examples:[["Remove all the local archives","$0 cache clean"],["Remove all the archives stored in the ~/.yarn directory","$0 cache clean --mirror"]]});var Lse=Pe(uQ()),GT=J("util"),uu=class extends De{constructor(){super(...arguments);this.json=z.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.unsafe=z.Boolean("--no-redacted",!1,{description:"Don't redact secrets (such as tokens) from the output"});this.name=z.String()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),i=this.name.replace(/[.[].*$/,""),n=this.name.replace(/^[^.[]*/,"");if(typeof t.settings.get(i)>"u")throw new be(`Couldn't find a configuration settings named "${i}"`);let o=t.getSpecial(i,{hideSecrets:!this.unsafe,getNativePaths:!0}),a=Ie.convertMapsToIndexableObjects(o),l=n?(0,Lse.default)(a,n):a,c=await Ge.start({configuration:t,includeFooter:!1,json:this.json,stdout:this.context.stdout},async u=>{u.reportJson(l)});if(!this.json){if(typeof l=="string")return this.context.stdout.write(`${l}
`),c.exitCode();GT.inspect.styles.name="cyan",this.context.stdout.write(`${(0,GT.inspect)(l,{depth:1/0,colors:t.get("enableColors"),compact:!1})}
`)}return c.exitCode()}};uu.paths=[["config","get"]],uu.usage=ve.Usage({description:"read a configuration settings",details:`
This command will print a configuration setting.
Secrets (such as tokens) will be redacted from the output by default. If this behavior isn't desired, set the \`--no-redacted\` to get the untransformed value.
`,examples:[["Print a simple configuration setting","yarn config get yarnPath"],["Print a complex configuration setting","yarn config get packageExtensions"],["Print a nested field from the configuration",`yarn config get 'npmScopes["my-company"].npmRegistryServer'`],["Print a token from the configuration","yarn config get npmAuthToken --no-redacted"],["Print a configuration setting as JSON","yarn config get packageExtensions --json"]]});var Woe=Pe(zT()),zoe=Pe(uQ()),Voe=Pe(Joe()),VT=J("util"),gu=class extends De{constructor(){super(...arguments);this.json=z.Boolean("--json",!1,{description:"Set complex configuration settings to JSON values"});this.home=z.Boolean("-H,--home",!1,{description:"Update the home configuration instead of the project configuration"});this.name=z.String();this.value=z.String()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),i=()=>{if(!t.projectCwd)throw new be("This command must be run from within a project folder");return t.projectCwd},n=this.name.replace(/[.[].*$/,""),s=this.name.replace(/^[^.[]*\.?/,"");if(typeof t.settings.get(n)>"u")throw new be(`Couldn't find a configuration settings named "${n}"`);if(n==="enableStrictSettings")throw new be("This setting only affects the file it's in, and thus cannot be set from the CLI");let a=this.json?JSON.parse(this.value):this.value;await(this.home?p=>ye.updateHomeConfiguration(p):p=>ye.updateConfiguration(i(),p))(p=>{if(s){let C=(0,Woe.default)(p);return(0,Voe.default)(C,this.name,a),C}else return{...p,[n]:a}});let u=(await ye.find(this.context.cwd,this.context.plugins)).getSpecial(n,{hideSecrets:!0,getNativePaths:!0}),g=Ie.convertMapsToIndexableObjects(u),f=s?(0,zoe.default)(g,s):g;return(await Ge.start({configuration:t,includeFooter:!1,stdout:this.context.stdout},async p=>{VT.inspect.styles.name="cyan",p.reportInfo(0,`Successfully set ${this.name} to ${(0,VT.inspect)(f,{depth:1/0,colors:t.get("enableColors"),compact:!1})}`)})).exitCode()}};gu.paths=[["config","set"]],gu.usage=ve.Usage({description:"change a configuration settings",details:`
This command will set a configuration setting.
When used without the \`--json\` flag, it can only set a simple configuration setting (a string, a number, or a boolean).
When used with the \`--json\` flag, it can set both simple and complex configuration settings, including Arrays and Objects.
`,examples:[["Set a simple configuration setting (a string, a number, or a boolean)","yarn config set initScope myScope"],["Set a simple configuration setting (a string, a number, or a boolean) using the `--json` flag",'yarn config set initScope --json \\"myScope\\"'],["Set a complex configuration setting (an Array) using the `--json` flag",`yarn config set unsafeHttpWhitelist --json '["*.example.com", "example.com"]'`],["Set a complex configuration setting (an Object) using the `--json` flag",`yarn config set packageExtensions --json '{ "@babel/parser@*": { "dependencies": { "@babel/types": "*" } } }'`],["Set a nested configuration setting",'yarn config set npmScopes.company.npmRegistryServer "https://npm.example.com"'],["Set a nested configuration setting using indexed access for non-simple keys",`yarn config set 'npmRegistries["//npm.example.com"].npmAuthToken' "ffffffff-ffff-ffff-ffff-ffffffffffff"`]]});var nae=Pe(zT()),sae=Pe(am()),oae=Pe(iae()),fu=class extends De{constructor(){super(...arguments);this.home=z.Boolean("-H,--home",!1,{description:"Update the home configuration instead of the project configuration"});this.name=z.String()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),i=()=>{if(!t.projectCwd)throw new be("This command must be run from within a project folder");return t.projectCwd},n=this.name.replace(/[.[].*$/,""),s=this.name.replace(/^[^.[]*\.?/,"");if(typeof t.settings.get(n)>"u")throw new be(`Couldn't find a configuration settings named "${n}"`);let a=this.home?c=>ye.updateHomeConfiguration(c):c=>ye.updateConfiguration(i(),c);return(await Ge.start({configuration:t,includeFooter:!1,stdout:this.context.stdout},async c=>{let u=!1;await a(g=>{if(!(0,sae.default)(g,this.name))return c.reportWarning(0,`Configuration doesn't contain setting ${this.name}; there is nothing to unset`),u=!0,g;let f=s?(0,nae.default)(g):{...g};return(0,oae.default)(f,this.name),f}),u||c.reportInfo(0,`Successfully unset ${this.name}`)})).exitCode()}};fu.paths=[["config","unset"]],fu.usage=ve.Usage({description:"unset a configuration setting",details:`
This command will unset a configuration setting.
`,examples:[["Unset a simple configuration setting","yarn config unset initScope"],["Unset a complex configuration setting","yarn config unset packageExtensions"],["Unset a nested configuration setting","yarn config unset npmScopes.company.npmRegistryServer"]]});var XT=J("util"),hu=class extends De{constructor(){super(...arguments);this.verbose=z.Boolean("-v,--verbose",!1,{description:"Print the setting description on top of the regular key/value information"});this.why=z.Boolean("--why",!1,{description:"Print the reason why a setting is set a particular way"});this.json=z.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"})}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins,{strict:!1});return(await Ge.start({configuration:t,json:this.json,stdout:this.context.stdout},async n=>{if(t.invalid.size>0&&!this.json){for(let[s,o]of t.invalid)n.reportError(34,`Invalid configuration key "${s}" in ${o}`);n.reportSeparator()}if(this.json){let s=Ie.sortMap(t.settings.keys(),o=>o);for(let o of s){let a=t.settings.get(o),l=t.getSpecial(o,{hideSecrets:!0,getNativePaths:!0}),c=t.sources.get(o);this.verbose?n.reportJson({key:o,effective:l,source:c}):n.reportJson({key:o,effective:l,source:c,...a})}}else{let s=Ie.sortMap(t.settings.keys(),l=>l),o=s.reduce((l,c)=>Math.max(l,c.length),0),a={breakLength:1/0,colors:t.get("enableColors"),maxArrayLength:2};if(this.why||this.verbose){let l=s.map(u=>{let g=t.settings.get(u);if(!g)throw new Error(`Assertion failed: This settings ("${u}") should have been registered`);let f=this.why?t.sources.get(u)||"<default>":g.description;return[u,f]}),c=l.reduce((u,[,g])=>Math.max(u,g.length),0);for(let[u,g]of l)n.reportInfo(null,`${u.padEnd(o," ")} ${g.padEnd(c," ")} ${(0,XT.inspect)(t.getSpecial(u,{hideSecrets:!0,getNativePaths:!0}),a)}`)}else for(let l of s)n.reportInfo(null,`${l.padEnd(o," ")} ${(0,XT.inspect)(t.getSpecial(l,{hideSecrets:!0,getNativePaths:!0}),a)}`)}})).exitCode()}};hu.paths=[["config"]],hu.usage=ve.Usage({description:"display the current configuration",details:`
This command prints the current active configuration settings.
`,examples:[["Print the active configuration settings","$0 config"]]});ls();var NQ={};ut(NQ,{Strategy:()=>jm,acceptedStrategies:()=>I8e,dedupe:()=>ZT});var aae=Pe(wn()),jm=(e=>(e.HIGHEST="highest",e))(jm||{}),I8e=new Set(Object.values(jm)),y8e={highest:async(r,e,{resolver:t,fetcher:i,resolveOptions:n,fetchOptions:s})=>{let o=new Map;for(let[a,l]of r.storedResolutions){let c=r.storedDescriptors.get(a);if(typeof c>"u")throw new Error(`Assertion failed: The descriptor (${a}) should have been registered`);Ie.getSetWithDefault(o,c.identHash).add(l)}return Array.from(r.storedDescriptors.values(),async a=>{if(e.length&&!aae.default.isMatch(P.stringifyIdent(a),e))return null;let l=r.storedResolutions.get(a.descriptorHash);if(typeof l>"u")throw new Error(`Assertion failed: The resolution (${a.descriptorHash}) should have been registered`);let c=r.originalPackages.get(l);if(typeof c>"u"||!t.shouldPersistResolution(c,n))return null;let u=o.get(a.identHash);if(typeof u>"u")throw new Error(`Assertion failed: The resolutions (${a.identHash}) should have been registered`);if(u.size===1)return null;let g=[...u].map(y=>{let B=r.originalPackages.get(y);if(typeof B>"u")throw new Error(`Assertion failed: The package (${y}) should have been registered`);return B.reference}),f=await t.getSatisfying(a,g,n),h=f==null?void 0:f[0];if(typeof h>"u")return null;let p=h.locatorHash,C=r.originalPackages.get(p);if(typeof C>"u")throw new Error(`Assertion failed: The package (${p}) should have been registered`);return p===l?null:{descriptor:a,currentPackage:c,updatedPackage:C}})}};async function ZT(r,{strategy:e,patterns:t,cache:i,report:n}){let{configuration:s}=r,o=new ti,a=s.makeResolver(),l=s.makeFetcher(),c={cache:i,checksums:r.storedChecksums,fetcher:l,project:r,report:o,skipIntegrityCheck:!0,cacheOptions:{skipIntegrityCheck:!0}},u={project:r,resolver:a,report:o,fetchOptions:c};return await n.startTimerPromise("Deduplication step",async()=>{let g=y8e[e],f=await g(r,t,{resolver:a,resolveOptions:u,fetcher:l,fetchOptions:c}),h=vi.progressViaCounter(f.length);await n.reportProgress(h);let p=0;await Promise.all(f.map(B=>B.then(v=>{if(v===null)return;p++;let{descriptor:D,currentPackage:L,updatedPackage:H}=v;n.reportInfo(0,`${P.prettyDescriptor(s,D)} can be deduped from ${P.prettyLocator(s,L)} to ${P.prettyLocator(s,H)}`),n.reportJson({descriptor:P.stringifyDescriptor(D),currentResolution:P.stringifyLocator(L),updatedResolution:P.stringifyLocator(H)}),r.storedResolutions.set(D.descriptorHash,H.locatorHash)}).finally(()=>h.tick())));let C;switch(p){case 0:C="No packages";break;case 1:C="One package";break;default:C=`${p} packages`}let y=ee.pretty(s,e,ee.Type.CODE);return n.reportInfo(0,`${C} can be deduped using the ${y} strategy`),p})}var pu=class extends De{constructor(){super(...arguments);this.strategy=z.String("-s,--strategy","highest",{description:"The strategy to use when deduping dependencies",validator:Xi(jm)});this.check=z.Boolean("-c,--check",!1,{description:"Exit with exit code 1 when duplicates are found, without persisting the dependency tree"});this.json=z.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.mode=z.String("--mode",{description:"Change what artifacts installs generate",validator:Xi(es)});this.patterns=z.Rest()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i}=await je.find(t,this.context.cwd),n=await Rt.find(t);await i.restoreInstallState({restoreResolutions:!1});let s=0,o=await Ge.start({configuration:t,includeFooter:!1,stdout:this.context.stdout,json:this.json},async a=>{s=await ZT(i,{strategy:this.strategy,patterns:this.patterns,cache:n,report:a})});return o.hasErrors()?o.exitCode():this.check?s?1:0:(await Ge.start({configuration:t,stdout:this.context.stdout,json:this.json},async l=>{await i.install({cache:n,report:l,mode:this.mode})})).exitCode()}};pu.paths=[["dedupe"]],pu.usage=ve.Usage({description:"deduplicate dependencies with overlapping ranges",details:"\n Duplicates are defined as descriptors with overlapping ranges being resolved and locked to different locators. They are a natural consequence of Yarn's deterministic installs, but they can sometimes pile up and unnecessarily increase the size of your project.\n\n This command dedupes dependencies in the current project using different strategies (only one is implemented at the moment):\n\n - `highest`: Reuses (where possible) the locators with the highest versions. This means that dependencies can only be upgraded, never downgraded. It's also guaranteed that it never takes more than a single pass to dedupe the entire dependency tree.\n\n **Note:** Even though it never produces a wrong dependency tree, this command should be used with caution, as it modifies the dependency tree, which can sometimes cause problems when packages don't strictly follow semver recommendations. Because of this, it is recommended to also review the changes manually.\n\n If set, the `-c,--check` flag will only report the found duplicates, without persisting the modified dependency tree. If changes are found, the command will exit with a non-zero exit code, making it suitable for CI purposes.\n\n If the `--mode=<mode>` option is set, Yarn will change which artifacts are generated. The modes currently supported are:\n\n - `skip-build` will not run the build scripts at all. Note that this is different from setting `enableScripts` to false because the latter will disable build scripts, and thus affect the content of the artifacts generated on disk, whereas the former will just disable the build step - but not the scripts themselves, which just won't run.\n\n - `update-lockfile` will skip the link step altogether, and only fetch packages that are missing from the lockfile (or that have no associated checksums). This mode is typically used by tools like Renovate or Dependabot to keep a lockfile up-to-date without incurring the full install cost.\n\n This command accepts glob patterns as arguments (if valid Idents and supported by [micromatch](https://github.com/micromatch/micromatch)). Make sure to escape the patterns, to prevent your own shell from trying to expand them.\n\n ### In-depth explanation:\n\n Yarn doesn't deduplicate dependencies by default, otherwise installs wouldn't be deterministic and the lockfile would be useless. What it actually does is that it tries to not duplicate dependencies in the first place.\n\n **Example:** If `foo@^2.3.4` (a dependency of a dependency) has already been resolved to `[email protected]`, running `yarn add foo@*`will cause Yarn to reuse `[email protected]`, even if the latest `foo` is actually `[email protected]`, thus preventing unnecessary duplication.\n\n Duplication happens when Yarn can't unlock dependencies that have already been locked inside the lockfile.\n\n **Example:** If `foo@^2.3.4` (a dependency of a dependency) has already been resolved to `[email protected]`, running `yarn add [email protected]` will cause Yarn to install `[email protected]` because the existing resolution doesn't satisfy the range `2.10.14`. This behavior can lead to (sometimes) unwanted duplication, since now the lockfile contains 2 separate resolutions for the 2 `foo` descriptors, even though they have overlapping ranges, which means that the lockfile can be simplified so that both descriptors resolve to `[email protected]`.\n ",examples:[["Dedupe all packages","$0 dedupe"],["Dedupe all packages using a specific strategy","$0 dedupe --strategy highest"],["Dedupe a specific package","$0 dedupe lodash"],["Dedupe all packages with the `@babel/*` scope","$0 dedupe '@babel/*'"],["Check for duplicates (can be used as a CI step)","$0 dedupe --check"]]});var Vh=class extends De{async execute(){let{plugins:e}=await ye.find(this.context.cwd,this.context.plugins),t=[];for(let o of e){let{commands:a}=o[1];if(a){let c=Hn.from(a).definitions();t.push([o[0],c])}}let i=this.cli.definitions(),n=(o,a)=>o.split(" ").slice(1).join()===a.split(" ").slice(1).join(),s=Aae()["@yarnpkg/builder"].bundles.standard;for(let o of t){let a=o[1];for(let l of a)i.find(c=>n(c.path,l.path)).plugin={name:o[0],isDefault:s.includes(o[0])}}this.context.stdout.write(`${JSON.stringify(i,null,2)}
`)}};Vh.paths=[["--clipanion=definitions"]];var Xh=class extends De{async execute(){this.context.stdout.write(this.cli.usage(null))}};Xh.paths=[["help"],["--help"],["-h"]];var qm=class extends De{constructor(){super(...arguments);this.leadingArgument=z.String();this.args=z.Proxy()}async execute(){if(this.leadingArgument.match(/[\\/]/)&&!P.tryParseIdent(this.leadingArgument)){let t=x.resolve(this.context.cwd,U.toPortablePath(this.leadingArgument));return await this.cli.run(this.args,{cwd:t})}else return await this.cli.run(["run",this.leadingArgument,...this.args])}};var Zh=class extends De{async execute(){this.context.stdout.write(`${Lr||"<unknown>"}
`)}};Zh.paths=[["-v"],["--version"]];var du=class extends De{constructor(){super(...arguments);this.commandName=z.String();this.args=z.Proxy()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,locator:n}=await je.find(t,this.context.cwd);return await i.restoreInstallState(),await Wt.executePackageShellcode(n,this.commandName,this.args,{cwd:this.context.cwd,stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr,project:i})}};du.paths=[["exec"]],du.usage=ve.Usage({description:"execute a shell script",details:`
This command simply executes a shell script within the context of the root directory of the active workspace using the portable shell.
It also makes sure to call it in a way that's compatible with the current project (for example, on PnP projects the environment will be setup in such a way that PnP will be correctly injected into the environment).
`,examples:[["Execute a single shell command","$0 exec echo Hello World"],["Execute a shell script",'$0 exec "tsc & babel src --out-dir lib"']]});ls();var Cu=class extends De{constructor(){super(...arguments);this.hash=z.String({required:!1,validator:od(sd(),[ad(/^p[0-9a-f]{5}$/)])})}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i}=await je.find(t,this.context.cwd);return await i.restoreInstallState({restoreResolutions:!1}),await i.applyLightResolution(),typeof this.hash<"u"?await B8e(this.hash,i,{stdout:this.context.stdout}):(await Ge.start({configuration:t,stdout:this.context.stdout,includeFooter:!1},async s=>{var a;let o=[([,l])=>P.stringifyLocator(i.storedPackages.get(l.subject)),([,l])=>P.stringifyIdent(l.requested)];for(let[l,c]of Ie.sortMap(i.peerRequirements,o)){let u=i.storedPackages.get(c.subject);if(typeof u>"u")throw new Error("Assertion failed: Expected the subject package to have been registered");let g=i.storedPackages.get(c.rootRequester);if(typeof g>"u")throw new Error("Assertion failed: Expected the root package to have been registered");let f=(a=u.dependencies.get(c.requested.identHash))!=null?a:null,h=ee.pretty(t,l,ee.Type.CODE),p=P.prettyLocator(t,u),C=P.prettyIdent(t,c.requested),y=P.prettyIdent(t,g),B=c.allRequesters.length-1,v=`descendant${B===1?"":"s"}`,D=B>0?` and ${B} ${v}`:"",L=f!==null?"provides":"doesn't provide";s.reportInfo(null,`${h} \u2192 ${p} ${L} ${C} to ${y}${D}`)}})).exitCode()}};Cu.paths=[["explain","peer-requirements"]],Cu.usage=ve.Usage({description:"explain a set of peer requirements",details:`
A set of peer requirements represents all peer requirements that a dependent must satisfy when providing a given peer request to a requester and its descendants.
When the hash argument is specified, this command prints a detailed explanation of all requirements of the set corresponding to the hash and whether they're satisfied or not.
When used without arguments, this command lists all sets of peer requirements and the corresponding hash that can be used to get detailed information about a given set.
**Note:** A hash is a six-letter p-prefixed code that can be obtained from peer dependency warnings or from the list of all peer requirements (\`yarn explain peer-requirements\`).
`,examples:[["Explain the corresponding set of peer requirements for a hash","$0 explain peer-requirements p1a4ed"],["List all sets of peer requirements","$0 explain peer-requirements"]]});async function B8e(r,e,t){let{configuration:i}=e,n=e.peerRequirements.get(r);if(typeof n>"u")throw new Error(`No peerDependency requirements found for hash: "${r}"`);return(await Ge.start({configuration:i,stdout:t.stdout,includeFooter:!1},async o=>{var B,v;let a=e.storedPackages.get(n.subject);if(typeof a>"u")throw new Error("Assertion failed: Expected the subject package to have been registered");let l=e.storedPackages.get(n.rootRequester);if(typeof l>"u")throw new Error("Assertion failed: Expected the root package to have been registered");let c=(B=a.dependencies.get(n.requested.identHash))!=null?B:null,u=c!==null?e.storedResolutions.get(c.descriptorHash):null;if(typeof u>"u")throw new Error("Assertion failed: Expected the resolution to have been registered");let g=u!==null?e.storedPackages.get(u):null;if(typeof g>"u")throw new Error("Assertion failed: Expected the provided package to have been registered");let f=[...n.allRequesters.values()].map(D=>{let L=e.storedPackages.get(D);if(typeof L>"u")throw new Error("Assertion failed: Expected the package to be registered");let H=P.devirtualizeLocator(L),j=e.storedPackages.get(H.locatorHash);if(typeof j>"u")throw new Error("Assertion failed: Expected the package to be registered");let $=j.peerDependencies.get(n.requested.identHash);if(typeof $>"u")throw new Error("Assertion failed: Expected the peer dependency to be registered");return{pkg:L,peerDependency:$}});if(g!==null){let D=f.every(({peerDependency:L})=>vt.satisfiesWithPrereleases(g.version,L.range));o.reportInfo(0,`${P.prettyLocator(i,a)} provides ${P.prettyLocator(i,g)} with version ${P.prettyReference(i,(v=g.version)!=null?v:"<missing>")}, which ${D?"satisfies":"doesn't satisfy"} the following requirements:`)}else o.reportInfo(0,`${P.prettyLocator(i,a)} doesn't provide ${P.prettyIdent(i,n.requested)}, breaking the following requirements:`);o.reportSeparator();let h=ee.mark(i),p=[];for(let{pkg:D,peerDependency:L}of Ie.sortMap(f,H=>P.stringifyLocator(H.pkg))){let j=(g!==null?vt.satisfiesWithPrereleases(g.version,L.range):!1)?h.Check:h.Cross;p.push({stringifiedLocator:P.stringifyLocator(D),prettyLocator:P.prettyLocator(i,D),prettyRange:P.prettyRange(i,L.range),mark:j})}let C=Math.max(...p.map(({stringifiedLocator:D})=>D.length)),y=Math.max(...p.map(({prettyRange:D})=>D.length));for(let{stringifiedLocator:D,prettyLocator:L,prettyRange:H,mark:j}of Ie.sortMap(p,({stringifiedLocator:$})=>$))o.reportInfo(null,`${L.padEnd(C+(L.length-D.length)," ")} \u2192 ${H.padEnd(y," ")} ${j}`);p.length>1&&(o.reportSeparator(),o.reportInfo(0,`Note: these requirements start with ${P.prettyLocator(e.configuration,l)}`))})).exitCode()}ls();var lae=Pe(Xr()),mu=class extends De{constructor(){super(...arguments);this.onlyIfNeeded=z.Boolean("--only-if-needed",!1,{description:"Only lock the Yarn version if it isn't already locked"});this.version=z.String()}async execute(){var o;let t=await ye.find(this.context.cwd,this.context.plugins);if(this.onlyIfNeeded&&t.get("yarnPath")){let a=t.sources.get("yarnPath");if(!a)throw new Error("Assertion failed: Expected 'yarnPath' to have a source");let l=(o=t.projectCwd)!=null?o:t.startingCwd;if(x.contains(l,a))return 0}let i=()=>{if(typeof Lr>"u")throw new be("The --install flag can only be used without explicit version specifier from the Yarn CLI");return`file://${process.argv[1]}`},n;if(this.version==="self")n=i();else if(this.version==="latest"||this.version==="berry"||this.version==="stable")n=`https://repo.yarnpkg.com/${await Jm(t,"stable")}/packages/yarnpkg-cli/bin/yarn.js`;else if(this.version==="canary")n=`https://repo.yarnpkg.com/${await Jm(t,"canary")}/packages/yarnpkg-cli/bin/yarn.js`;else if(this.version==="classic")n="https://classic.yarnpkg.com/latest.js";else if(this.version.match(/^https?:/))n=this.version;else if(this.version.match(/^\.{0,2}[\\/]/)||U.isAbsolute(this.version))n=`file://${U.resolve(this.version)}`;else if(vt.satisfiesWithPrereleases(this.version,">=2.0.0"))n=`https://repo.yarnpkg.com/${this.version}/packages/yarnpkg-cli/bin/yarn.js`;else if(vt.satisfiesWithPrereleases(this.version,"^0.x || ^1.x"))n=`https://github.com/yarnpkg/yarn/releases/download/v${this.version}/yarn-${this.version}.js`;else if(vt.validRange(this.version))n=`https://repo.yarnpkg.com/${await Q8e(t,this.version)}/packages/yarnpkg-cli/bin/yarn.js`;else throw new be(`Invalid version descriptor "${this.version}"`);return(await Ge.start({configuration:t,stdout:this.context.stdout,includeLogs:!this.context.quiet},async a=>{let l="file://",c;n.startsWith(l)?(a.reportInfo(0,`Downloading ${ee.pretty(t,n,xi.URL)}`),c=await M.readFilePromise(U.toPortablePath(n.slice(l.length)))):(a.reportInfo(0,`Retrieving ${ee.pretty(t,n,xi.PATH)}`),c=await Xt.get(n,{configuration:t})),await _T(t,null,c,{report:a})})).exitCode()}};mu.paths=[["set","version"]],mu.usage=ve.Usage({description:"lock the Yarn version used by the project",details:"\n This command will download a specific release of Yarn directly from the Yarn GitHub repository, will store it inside your project, and will change the `yarnPath` settings from your project `.yarnrc.yml` file to point to the new file.\n\n A very good use case for this command is to enforce the version of Yarn used by any single member of your team inside the same project - by doing this you ensure that you have control over Yarn upgrades and downgrades (including on your deployment servers), and get rid of most of the headaches related to someone using a slightly different version and getting different behavior.\n\n The version specifier can be:\n\n - a tag:\n - `latest` / `berry` 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local filesystem","$0 set version ./yarn.cjs"],["Use a release from a URL","$0 set version https://repo.yarnpkg.com/3.1.0/packages/yarnpkg-cli/bin/yarn.js"],["Download the version used to invoke the command","$0 set version self"]]});async function Q8e(r,e){let i=(await Xt.get("https://repo.yarnpkg.com/tags",{configuration:r,jsonResponse:!0})).tags.filter(n=>vt.satisfiesWithPrereleases(n,e));if(i.length===0)throw new be(`No matching release found for range ${ee.pretty(r,e,ee.Type.RANGE)}.`);return i[0]}async function Jm(r,e){let t=await Xt.get("https://repo.yarnpkg.com/tags",{configuration:r,jsonResponse:!0});if(!t.latest[e])throw new be(`Tag ${ee.pretty(r,e,ee.Type.RANGE)} not found`);return t.latest[e]}async function _T(r,e,t,{report:i}){var h;e===null&&await M.mktempPromise(async p=>{let C=x.join(p,"yarn.cjs");await M.writeFilePromise(C,t);let{stdout:y}=await Cr.execvp(process.execPath,[U.fromPortablePath(C),"--version"],{cwd:p,env:{...process.env,YARN_IGNORE_PATH:"1"}});if(e=y.trim(),!lae.default.valid(e))throw new Error(`Invalid semver version. ${ee.pretty(r,"yarn --version",ee.Type.CODE)} returned:
${e}`)});let n=(h=r.projectCwd)!=null?h:r.startingCwd,s=x.resolve(n,".yarn/releases"),o=x.resolve(s,`yarn-${e}.cjs`),a=x.relative(r.startingCwd,o),l=x.relative(n,o);i.reportInfo(0,`Saving the new release in ${ee.pretty(r,a,"magenta")}`),await M.removePromise(x.dirname(o)),await M.mkdirPromise(x.dirname(o),{recursive:!0}),await M.writeFilePromise(o,t,{mode:493}),await ye.updateConfiguration(n,{yarnPath:l});let c=await ot.tryFind(n)||new ot;c.packageManager=`yarn@${e&&Ie.isTaggedYarnVersion(e)?e:await Jm(r,"stable")}`;let u={};c.exportTo(u);let g=x.join(n,ot.fileName),f=`${JSON.stringify(u,null,c.indent)}
`;await M.changeFilePromise(g,f,{automaticNewlines:!0})}function cae(r){return Ct[TI(r)]}var b8e=/## (?<code>YN[0-9]{4}) - `(?<name>[A-Z_]+)`\n\n(?<details>(?:.(?!##))+)/gs;async function S8e(r){let t=`https://repo.yarnpkg.com/${Ie.isTaggedYarnVersion(Lr)?Lr:await Jm(r,"canary")}/packages/gatsby/content/advanced/error-codes.md`,i=await Xt.get(t,{configuration:r});return new Map(Array.from(i.toString().matchAll(b8e),({groups:n})=>{if(!n)throw new Error("Assertion failed: Expected the match to have been successful");let s=cae(n.code);if(n.name!==s)throw new Error(`Assertion failed: Invalid error code data: Expected "${n.name}" to be named "${s}"`);return[n.code,n.details]}))}var Eu=class extends De{constructor(){super(...arguments);this.code=z.String({required:!1,validator:od(sd(),[ad(/^YN[0-9]{4}$/)])});this.json=z.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"})}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins);if(typeof this.code<"u"){let i=cae(this.code),n=ee.pretty(t,i,ee.Type.CODE),s=this.cli.format().header(`${this.code} - ${n}`),a=(await S8e(t)).get(this.code),l=typeof a<"u"?ee.jsonOrPretty(this.json,t,ee.tuple(ee.Type.MARKDOWN,{text:a,format:this.cli.format(),paragraphs:!0})):`This error code does not have a description.
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`;this.json?this.context.stdout.write(`${JSON.stringify({code:this.code,name:i,details:l})}
`):this.context.stdout.write(`${s}
${l}
`)}else{let i={children:Ie.mapAndFilter(Object.entries(Ct),([n,s])=>Number.isNaN(Number(n))?Ie.mapAndFilter.skip:{label:FA(Number(n)),value:ee.tuple(ee.Type.CODE,s)})};$n.emitTree(i,{configuration:t,stdout:this.context.stdout,json:this.json})}}};Eu.paths=[["explain"]],Eu.usage=ve.Usage({description:"explain an error code",details:`
When the code argument is specified, this command prints its name and its details.
When used without arguments, this command lists all error codes and their names.
`,examples:[["Explain an error code","$0 explain YN0006"],["List all error codes","$0 explain"]]});var uae=Pe(wn()),Iu=class extends De{constructor(){super(...arguments);this.all=z.Boolean("-A,--all",!1,{description:"Print versions of a package from the whole project"});this.recursive=z.Boolean("-R,--recursive",!1,{description:"Print information for all packages, including transitive dependencies"});this.extra=z.Array("-X,--extra",[],{description:"An array of requests of extra data provided by plugins"});this.cache=z.Boolean("--cache",!1,{description:"Print information about the cache entry of a package (path, size, checksum)"});this.dependents=z.Boolean("--dependents",!1,{description:"Print all dependents for each matching package"});this.manifest=z.Boolean("--manifest",!1,{description:"Print data obtained by looking at the package archive (license, homepage, ...)"});this.nameOnly=z.Boolean("--name-only",!1,{description:"Only print the name for the matching packages"});this.virtuals=z.Boolean("--virtuals",!1,{description:"Print each instance of the virtual packages"});this.json=z.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.patterns=z.Rest()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n}=await je.find(t,this.context.cwd),s=await Rt.find(t);if(!n&&!this.all)throw new ct(i.cwd,this.context.cwd);await i.restoreInstallState();let o=new Set(this.extra);this.cache&&o.add("cache"),this.dependents&&o.add("dependents"),this.manifest&&o.add("manifest");let a=(L,{recursive:H})=>{let j=L.anchoredLocator.locatorHash,$=new Map,V=[j];for(;V.length>0;){let W=V.shift();if($.has(W))continue;let _=i.storedPackages.get(W);if(typeof _>"u")throw new Error("Assertion failed: Expected the package to be registered");if($.set(W,_),P.isVirtualLocator(_)&&V.push(P.devirtualizeLocator(_).locatorHash),!(!H&&W!==j))for(let A of _.dependencies.values()){let Ae=i.storedResolutions.get(A.descriptorHash);if(typeof Ae>"u")throw new Error("Assertion failed: Expected the resolution to be registered");V.push(Ae)}}return $.values()},l=({recursive:L})=>{let H=new Map;for(let j of i.workspaces)for(let $ of a(j,{recursive:L}))H.set($.locatorHash,$);return H.values()},c=({all:L,recursive:H})=>L&&H?i.storedPackages.values():L?l({recursive:H}):a(n,{recursive:H}),u=({all:L,recursive:H})=>{let j=c({all:L,recursive:H}),$=this.patterns.map(_=>{let A=P.parseLocator(_),Ae=uae.default.makeRe(P.stringifyIdent(A)),ge=P.isVirtualLocator(A),re=ge?P.devirtualizeLocator(A):A;return O=>{let F=P.stringifyIdent(O);if(!Ae.test(F))return!1;if(A.reference==="unknown")return!0;let ue=P.isVirtualLocator(O),pe=ue?P.devirtualizeLocator(O):O;return!(ge&&ue&&A.reference!==O.reference||re.reference!==pe.reference)}}),V=Ie.sortMap([...j],_=>P.stringifyLocator(_));return{selection:V.filter(_=>$.length===0||$.some(A=>A(_))),sortedLookup:V}},{selection:g,sortedLookup:f}=u({all:this.all,recursive:this.recursive});if(g.length===0)throw new be("No package matched your request");let h=new Map;if(this.dependents)for(let L of f)for(let H of L.dependencies.values()){let j=i.storedResolutions.get(H.descriptorHash);if(typeof j>"u")throw new Error("Assertion failed: Expected the resolution to be registered");Ie.getArrayWithDefault(h,j).push(L)}let p=new Map;for(let L of f){if(!P.isVirtualLocator(L))continue;let H=P.devirtualizeLocator(L);Ie.getArrayWithDefault(p,H.locatorHash).push(L)}let C={},y={children:C},B=t.makeFetcher(),v={project:i,fetcher:B,cache:s,checksums:i.storedChecksums,report:new ti,cacheOptions:{skipIntegrityCheck:!0},skipIntegrityCheck:!0},D=[async(L,H,j)=>{var W,_;if(!H.has("manifest"))return;let $=await B.fetch(L,v),V;try{V=await ot.find($.prefixPath,{baseFs:$.packageFs})}finally{(W=$.releaseFs)==null||W.call($)}j("Manifest",{License:ee.tuple(ee.Type.NO_HINT,V.license),Homepage:ee.tuple(ee.Type.URL,(_=V.raw.homepage)!=null?_:null)})},async(L,H,j)=>{var Ae;if(!H.has("cache"))return;let $={mockedPackages:i.disabledLocators,unstablePackages:i.conditionalLocators},V=(Ae=i.storedChecksums.get(L.locatorHash))!=null?Ae:null,W=s.getLocatorPath(L,V,$),_;if(W!==null)try{_=M.statSync(W)}catch{}let A=typeof _<"u"?[_.size,ee.Type.SIZE]:void 0;j("Cache",{Checksum:ee.tuple(ee.Type.NO_HINT,V),Path:ee.tuple(ee.Type.PATH,W),Size:A})}];for(let L of g){let H=P.isVirtualLocator(L);if(!this.virtuals&&H)continue;let j={},$={value:[L,ee.Type.LOCATOR],children:j};if(C[P.stringifyLocator(L)]=$,this.nameOnly){delete $.children;continue}let V=p.get(L.locatorHash);typeof V<"u"&&(j.Instances={label:"Instances",value:ee.tuple(ee.Type.NUMBER,V.length)}),j.Version={label:"Version",value:ee.tuple(ee.Type.NO_HINT,L.version)};let W=(A,Ae)=>{let ge={};if(j[A]=ge,Array.isArray(Ae))ge.children=Ae.map(re=>({value:re}));else{let re={};ge.children=re;for(let[O,F]of Object.entries(Ae))typeof F>"u"||(re[O]={label:O,value:F})}};if(!H){for(let A of D)await A(L,o,W);await t.triggerHook(A=>A.fetchPackageInfo,L,o,W)}L.bin.size>0&&!H&&W("Exported Binaries",[...L.bin.keys()].map(A=>ee.tuple(ee.Type.PATH,A)));let _=h.get(L.locatorHash);typeof _<"u"&&_.length>0&&W("Dependents",_.map(A=>ee.tuple(ee.Type.LOCATOR,A))),L.dependencies.size>0&&!H&&W("Dependencies",[...L.dependencies.values()].map(A=>{var re;let Ae=i.storedResolutions.get(A.descriptorHash),ge=typeof Ae<"u"&&(re=i.storedPackages.get(Ae))!=null?re:null;return ee.tuple(ee.Type.RESOLUTION,{descriptor:A,locator:ge})})),L.peerDependencies.size>0&&H&&W("Peer dependencies",[...L.peerDependencies.values()].map(A=>{var O,F;let Ae=L.dependencies.get(A.identHash),ge=typeof Ae<"u"&&(O=i.storedResolutions.get(Ae.descriptorHash))!=null?O:null,re=ge!==null&&(F=i.storedPackages.get(ge))!=null?F:null;return ee.tuple(ee.Type.RESOLUTION,{descriptor:A,locator:re})}))}$n.emitTree(y,{configuration:t,json:this.json,stdout:this.context.stdout,separators:this.nameOnly?0:2})}};Iu.paths=[["info"]],Iu.usage=ve.Usage({description:"see information related to packages",details:"\n This command prints various information related to the specified packages, accepting glob patterns.\n\n By default, if the locator reference is missing, Yarn will default to print the information about all the matching direct dependencies of the package for the active workspace. To instead print all versions of the package that are direct dependencies of any of your workspaces, use the `-A,--all` flag. Adding the `-R,--recursive` flag will also report transitive dependencies.\n\n Some fields will be hidden by default in order to keep the output readable, but can be selectively displayed by using additional options (`--dependents`, `--manifest`, `--virtuals`, ...) described in the option descriptions.\n\n Note that this command will only print the information directly related to the selected packages - if you wish to know why the package is there in the first place, use `yarn why` which will do just that (it also provides a `-R,--recursive` flag that may be of some help).\n ",examples:[["Show information about Lodash","$0 info lodash"]]});var LQ=Pe(Ac());ls();var yu=class extends De{constructor(){super(...arguments);this.json=z.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.immutable=z.Boolean("--immutable",{description:"Abort with an error exit code if the lockfile was to be modified"});this.immutableCache=z.Boolean("--immutable-cache",{description:"Abort with an error exit code if the cache folder was to be modified"});this.checkCache=z.Boolean("--check-cache",!1,{description:"Always refetch the packages and ensure that their checksums are consistent"});this.inlineBuilds=z.Boolean("--inline-builds",{description:"Verbosely print the output of the build steps of dependencies"});this.mode=z.String("--mode",{description:"Change what artifacts installs generate",validator:Xi(es)});this.cacheFolder=z.String("--cache-folder",{hidden:!0});this.frozenLockfile=z.Boolean("--frozen-lockfile",{hidden:!0});this.ignoreEngines=z.Boolean("--ignore-engines",{hidden:!0});this.nonInteractive=z.Boolean("--non-interactive",{hidden:!0});this.preferOffline=z.Boolean("--prefer-offline",{hidden:!0});this.production=z.Boolean("--production",{hidden:!0});this.registry=z.String("--registry",{hidden:!0});this.silent=z.Boolean("--silent",{hidden:!0});this.networkTimeout=z.String("--network-timeout",{hidden:!0})}async execute(){var f;let t=await ye.find(this.context.cwd,this.context.plugins);typeof this.inlineBuilds<"u"&&t.useWithSource("<cli>",{enableInlineBuilds:this.inlineBuilds},t.startingCwd,{overwrite:!0});let i=!!process.env.FUNCTION_TARGET||!!process.env.GOOGLE_RUNTIME,n=async(h,{error:p})=>{let C=await Ge.start({configuration:t,stdout:this.context.stdout,includeFooter:!1},async y=>{p?y.reportError(50,h):y.reportWarning(50,h)});return C.hasErrors()?C.exitCode():null};if(typeof this.ignoreEngines<"u"){let h=await n("The --ignore-engines option is deprecated; engine checking isn't a core feature anymore",{error:!LQ.default.VERCEL});if(h!==null)return h}if(typeof this.registry<"u"){let h=await n("The --registry option is deprecated; prefer setting npmRegistryServer in your .yarnrc.yml file",{error:!1});if(h!==null)return h}if(typeof this.preferOffline<"u"){let h=await n("The --prefer-offline flag is deprecated; use the --cached flag with 'yarn add' instead",{error:!LQ.default.VERCEL});if(h!==null)return h}if(typeof this.production<"u"){let h=await n("The --production option is deprecated on 'install'; use 'yarn workspaces focus' instead",{error:!0});if(h!==null)return h}if(typeof this.nonInteractive<"u"){let h=await n("The --non-interactive option is deprecated",{error:!i});if(h!==null)return h}if(typeof this.frozenLockfile<"u"&&(await n("The --frozen-lockfile option is deprecated; use --immutable and/or --immutable-cache instead",{error:!1}),this.immutable=this.frozenLockfile),typeof this.cacheFolder<"u"){let h=await n("The cache-folder option has been deprecated; 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automatically enabling the compatibility node-modules linker \u{1F44D}"),y.reportSeparator(),t.use("<compat>",{nodeLinker:"node-modules"},h,{overwrite:!0}),await ye.updateConfiguration(h,{nodeLinker:"node-modules"})});if(C.hasErrors())return C.exitCode()}}if(t.projectCwd!==null){let h=await Ge.start({configuration:t,json:this.json,stdout:this.context.stdout,includeFooter:!1},async p=>{var C;(C=ye.telemetry)!=null&&C.isNew&&(p.reportInfo(65,"Yarn will periodically gather anonymous telemetry: https://yarnpkg.com/advanced/telemetry"),p.reportInfo(65,`Run ${ee.pretty(t,"yarn config set --home enableTelemetry 0",ee.Type.CODE)} to disable`),p.reportSeparator())});if(h.hasErrors())return h.exitCode()}let{project:l,workspace:c}=await je.find(t,this.context.cwd),u=await Rt.find(t,{immutable:a,check:this.checkCache});if(!c)throw new ct(l.cwd,this.context.cwd);return await l.restoreInstallState({restoreResolutions:!1}),(await Ge.start({configuration:t,json:this.json,stdout:this.context.stdout,includeLogs:!0},async h=>{await l.install({cache:u,report:h,immutable:o,mode:this.mode})})).exitCode()}};yu.paths=[["install"],ve.Default],yu.usage=ve.Usage({description:"install the project dependencies",details:`
This command sets up your project if needed. The installation is split into four different steps that each have their own characteristics:
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- **Fetch:** Then we download all the dependencies if needed, and make sure that they're all stored within our cache (check the value of \`cacheFolder\` in \`yarn config\` to see where the cache files are stored).
- **Link:** Then we send the dependency tree information to internal plugins tasked with writing them on the disk in some form (for example by generating the .pnp.cjs file you might know).
- **Build:** Once the dependency tree has been written on the disk, the package manager will now be free to run the build scripts for all packages that might need it, in a topological order compatible with the way they depend on one another. See https://yarnpkg.com/advanced/lifecycle-scripts for detail.
Note that running this command is not part of the recommended workflow. Yarn supports zero-installs, which means that as long as you store your cache and your .pnp.cjs file inside your repository, everything will work without requiring any install right after cloning your repository or switching branches.
If the \`--immutable\` option is set (defaults to true on CI), Yarn will abort with an error exit code if the lockfile was to be modified (other paths can be added using the \`immutablePatterns\` configuration setting). For backward compatibility we offer an alias under the name of \`--frozen-lockfile\`, but it will be removed in a later release.
If the \`--immutable-cache\` option is set, Yarn will abort with an error exit code if the cache folder was to be modified (either because files would be added, or because they'd be removed).
If the \`--check-cache\` option is set, Yarn will always refetch the packages and will ensure that their checksum matches what's 1/ described in the lockfile 2/ inside the existing cache files (if present). This is recommended as part of your CI workflow if you're both following the Zero-Installs model and accepting PRs from third-parties, as they'd otherwise have the ability to alter the checked-in packages before submitting them.
If the \`--inline-builds\` option is set, Yarn will verbosely print the output of the build steps of your dependencies (instead of writing them into individual files). This is likely useful mostly for debug purposes only when using Docker-like environments.
If the \`--mode=<mode>\` option is set, Yarn will change which artifacts are generated. The modes currently supported are:
- \`skip-build\` will not run the build scripts at all. Note that this is different from setting \`enableScripts\` to false because the latter will disable build scripts, and thus affect the content of the artifacts generated on disk, whereas the former will just disable the build step - but not the scripts themselves, which just won't run.
- \`update-lockfile\` will skip the link step altogether, and only fetch packages that are missing from the lockfile (or that have no associated checksums). This mode is typically used by tools like Renovate or Dependabot to keep a lockfile up-to-date without incurring the full install cost.
`,examples:[["Install the project","$0 install"],["Validate a project when using Zero-Installs","$0 install --immutable --immutable-cache"],["Validate a project when using Zero-Installs (slightly safer if you accept external PRs)","$0 install --immutable --immutable-cache --check-cache"]]});var v8e="|||||||",x8e=">>>>>>>",P8e="=======",gae="<<<<<<<";async function D8e(r,e){if(!r.projectCwd)return!1;let t=x.join(r.projectCwd,r.get("lockfileFilename"));if(!await M.existsPromise(t))return!1;let i=await M.readFilePromise(t,"utf8");if(!i.includes(gae))return!1;if(e)throw new at(47,"Cannot autofix a lockfile when running an immutable install");let[n,s]=k8e(i),o,a;try{o=yi(n),a=yi(s)}catch{throw new at(46,"The individual variants of the lockfile failed to parse")}let l={...o,...a};for(let[c,u]of Object.entries(l))typeof u=="string"&&delete l[c];return await M.changeFilePromise(t,Ba(l),{automaticNewlines:!0}),!0}function k8e(r){let e=[[],[]],t=r.split(/\r?\n/g),i=!1;for(;t.length>0;){let n=t.shift();if(typeof n>"u")throw new Error("Assertion failed: Some lines should remain");if(n.startsWith(gae)){for(;t.length>0;){let s=t.shift();if(typeof s>"u")throw new Error("Assertion failed: Some lines should remain");if(s===P8e){i=!1;break}else if(i||s.startsWith(v8e)){i=!0;continue}else e[0].push(s)}for(;t.length>0;){let s=t.shift();if(typeof s>"u")throw new Error("Assertion failed: Some lines should remain");if(s.startsWith(x8e))break;e[1].push(s)}}else e[0].push(n),e[1].push(n)}return[e[0].join(`
`),e[1].join(`
`)]}var wu=class extends De{constructor(){super(...arguments);this.all=z.Boolean("-A,--all",!1,{description:"Link all workspaces belonging to the target project to the current one"});this.private=z.Boolean("-p,--private",!1,{description:"Also link private workspaces belonging to the target project to the current one"});this.relative=z.Boolean("-r,--relative",!1,{description:"Link workspaces using relative paths instead of absolute paths"});this.destination=z.String()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n}=await je.find(t,this.context.cwd),s=await Rt.find(t);if(!n)throw new ct(i.cwd,this.context.cwd);await i.restoreInstallState({restoreResolutions:!1});let o=x.resolve(this.context.cwd,U.toPortablePath(this.destination)),a=await ye.find(o,this.context.plugins,{useRc:!1,strict:!1}),{project:l,workspace:c}=await je.find(a,o);if(i.cwd===l.cwd)throw new be("Invalid destination; Can't link the project to itself");if(!c)throw new ct(l.cwd,o);let u=i.topLevelWorkspace,g=[];if(this.all){for(let h of l.workspaces)h.manifest.name&&(!h.manifest.private||this.private)&&g.push(h);if(g.length===0)throw new be("No workspace found to be linked in the target project")}else{if(!c.manifest.name)throw new be("The target workspace doesn't have a name and thus cannot be linked");if(c.manifest.private&&!this.private)throw new be("The target workspace is marked private - use the --private flag to link it anyway");g.push(c)}for(let h of g){let p=P.stringifyIdent(h.locator),C=this.relative?x.relative(i.cwd,h.cwd):h.cwd;u.manifest.resolutions.push({pattern:{descriptor:{fullName:p}},reference:`portal:${C}`})}return(await Ge.start({configuration:t,stdout:this.context.stdout},async h=>{await i.install({cache:s,report:h})})).exitCode()}};wu.paths=[["link"]],wu.usage=ve.Usage({description:"connect the local project to another one",details:"\n This command will set a new `resolutions` field in the project-level manifest and point it to the workspace at the specified location (even if part of another project).\n ",examples:[["Register a remote workspace for use in the current project","$0 link ~/ts-loader"],["Register all workspaces from a remote project for use in the current project","$0 link ~/jest --all"]]});var Bu=class extends De{constructor(){super(...arguments);this.args=z.Proxy()}async execute(){return this.cli.run(["exec","node",...this.args])}};Bu.paths=[["node"]],Bu.usage=ve.Usage({description:"run node with the hook already setup",details:`
This command simply runs Node. It also makes sure to call it in a way that's compatible with the current project (for example, on PnP projects the environment will be setup in such a way that PnP will be correctly injected into the environment).
The Node process will use the exact same version of Node as the one used to run Yarn itself, which might be a good way to ensure that your commands always use a consistent Node version.
`,examples:[["Run a Node script","$0 node ./my-script.js"]]});var mae=J("os");var fae=J("os");var R8e="https://raw.githubusercontent.com/yarnpkg/berry/master/plugins.yml";async function bu(r){let e=await Xt.get(R8e,{configuration:r});return yi(e.toString())}var Qu=class extends De{constructor(){super(...arguments);this.json=z.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"})}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins);return(await Ge.start({configuration:t,json:this.json,stdout:this.context.stdout},async n=>{let s=await bu(t);for(let[o,{experimental:a,...l}]of Object.entries(s)){let c=o;a&&(c+=" [experimental]"),n.reportJson({name:o,experimental:a,...l}),n.reportInfo(null,c)}})).exitCode()}};Qu.paths=[["plugin","list"]],Qu.usage=ve.Usage({category:"Plugin-related commands",description:"list the available official plugins",details:"\n This command prints the plugins available directly from the Yarn repository. Only those plugins can be referenced by name in `yarn plugin import`.\n ",examples:[["List the official plugins","$0 plugin list"]]});var F8e=/^[0-9]+$/;function hae(r){return F8e.test(r)?`pull/${r}/head`:r}var N8e=({repository:r,branch:e},t)=>[["git","init",U.fromPortablePath(t)],["git","remote","add","origin",r],["git","fetch","origin","--depth=1",hae(e)],["git","reset","--hard","FETCH_HEAD"]],L8e=({branch:r})=>[["git","fetch","origin","--depth=1",hae(r),"--force"],["git","reset","--hard","FETCH_HEAD"],["git","clean","-dfx"]],T8e=({plugins:r,noMinify:e},t)=>[["yarn","build:cli",...new Array().concat(...r.map(i=>["--plugin",x.resolve(t,i)])),...e?["--no-minify"]:[],"|"]],Su=class extends De{constructor(){super(...arguments);this.installPath=z.String("--path",{description:"The path where the repository should be cloned to"});this.repository=z.String("--repository","https://github.com/yarnpkg/berry.git",{description:"The repository that should be cloned"});this.branch=z.String("--branch","master",{description:"The branch of the repository that should be cloned"});this.plugins=z.Array("--plugin",[],{description:"An array of additional plugins that should be included in the bundle"});this.noMinify=z.Boolean("--no-minify",!1,{description:"Build a bundle for development (debugging) - non-minified and non-mangled"});this.force=z.Boolean("-f,--force",!1,{description:"Always clone the repository instead of trying to fetch the latest commits"});this.skipPlugins=z.Boolean("--skip-plugins",!1,{description:"Skip updating the contrib plugins"})}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i}=await je.find(t,this.context.cwd),n=typeof this.installPath<"u"?x.resolve(this.context.cwd,U.toPortablePath(this.installPath)):x.resolve(U.toPortablePath((0,fae.tmpdir)()),"yarnpkg-sources",li.makeHash(this.repository).slice(0,6));return(await Ge.start({configuration:t,stdout:this.context.stdout},async o=>{await $T(this,{configuration:t,report:o,target:n}),o.reportSeparator(),o.reportInfo(0,"Building a fresh bundle"),o.reportSeparator(),await Wm(T8e(this,n),{configuration:t,context:this.context,target:n}),o.reportSeparator();let a=x.resolve(n,"packages/yarnpkg-cli/bundles/yarn.js"),l=await M.readFilePromise(a);await _T(t,"sources",l,{report:o}),this.skipPlugins||await O8e(this,{project:i,report:o,target:n})})).exitCode()}};Su.paths=[["set","version","from","sources"]],Su.usage=ve.Usage({description:"build Yarn from master",details:`
This command will clone the Yarn repository into a temporary folder, then build it. The resulting bundle will then be copied into the local project.
By default, it also updates all contrib plugins to the same commit the bundle is built from. This behavior can be disabled by using the \`--skip-plugins\` flag.
`,examples:[["Build Yarn from master","$0 set version from sources"]]});async function Wm(r,{configuration:e,context:t,target:i}){for(let[n,...s]of r){let o=s[s.length-1]==="|";if(o&&s.pop(),o)await Cr.pipevp(n,s,{cwd:i,stdin:t.stdin,stdout:t.stdout,stderr:t.stderr,strict:!0});else{t.stdout.write(`${ee.pretty(e,` $ ${[n,...s].join(" ")}`,"grey")}
`);try{await Cr.execvp(n,s,{cwd:i,strict:!0})}catch(a){throw t.stdout.write(a.stdout||a.stack),a}}}}async function $T(r,{configuration:e,report:t,target:i}){let n=!1;if(!r.force&&M.existsSync(x.join(i,".git"))){t.reportInfo(0,"Fetching the latest commits"),t.reportSeparator();try{await Wm(L8e(r),{configuration:e,context:r.context,target:i}),n=!0}catch{t.reportSeparator(),t.reportWarning(0,"Repository update failed; we'll try to regenerate it")}}n||(t.reportInfo(0,"Cloning the remote repository"),t.reportSeparator(),await M.removePromise(i),await M.mkdirPromise(i,{recursive:!0}),await Wm(N8e(r,i),{configuration:e,context:r.context,target:i}))}async function O8e(r,{project:e,report:t,target:i}){let n=await bu(e.configuration),s=new Set(Object.keys(n));for(let o of e.configuration.plugins.keys())!s.has(o)||await eO(o,r,{project:e,report:t,target:i})}var pae=Pe(Xr()),dae=J("url"),Cae=J("vm");var vu=class extends De{constructor(){super(...arguments);this.name=z.String()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins);return(await Ge.start({configuration:t,stdout:this.context.stdout},async n=>{let{project:s}=await je.find(t,this.context.cwd),o,a;if(this.name.match(/^\.{0,2}[\\/]/)||U.isAbsolute(this.name)){let l=x.resolve(this.context.cwd,U.toPortablePath(this.name));n.reportInfo(0,`Reading ${ee.pretty(t,l,ee.Type.PATH)}`),o=x.relative(s.cwd,l),a=await M.readFilePromise(l)}else{let l;if(this.name.match(/^https?:/)){try{new dae.URL(this.name)}catch{throw new at(52,`Plugin specifier "${this.name}" is neither a plugin name nor a valid url`)}o=this.name,l=this.name}else{let c=P.parseLocator(this.name.replace(/^((@yarnpkg\/)?plugin-)?/,"@yarnpkg/plugin-"));if(c.reference!=="unknown"&&!pae.default.valid(c.reference))throw new at(0,"Official plugins only accept strict version references. Use an explicit URL if you wish to download them from another location.");let u=P.stringifyIdent(c),g=await bu(t);if(!Object.prototype.hasOwnProperty.call(g,u))throw new at(51,`Couldn't find a plugin named "${u}" on the remote registry. Note that only the plugins referenced on our website (https://github.com/yarnpkg/berry/blob/master/plugins.yml) can be referenced by their name; any other plugin will have to be referenced through its public url (for example https://github.com/yarnpkg/berry/raw/master/packages/plugin-typescript/bin/%40yarnpkg/plugin-typescript.js).`);o=u,l=g[u].url,c.reference!=="unknown"?l=l.replace(/\/master\//,`/${u}/${c.reference}/`):Lr!==null&&(l=l.replace(/\/master\//,`/@yarnpkg/cli/${Lr}/`))}n.reportInfo(0,`Downloading ${ee.pretty(t,l,"green")}`),a=await Xt.get(l,{configuration:t})}await tO(o,a,{project:s,report:n})})).exitCode()}};vu.paths=[["plugin","import"]],vu.usage=ve.Usage({category:"Plugin-related commands",description:"download a plugin",details:`
This command downloads the specified plugin from its remote location and updates the configuration to reference it in further CLI invocations.
Three types of plugin references are accepted:
- If the plugin is stored within the Yarn repository, it can be referenced by name.
- Third-party plugins can be referenced directly through their public urls.
- Local plugins can be referenced by their path on the disk.
Plugins cannot be downloaded from the npm registry, and aren't allowed to have dependencies (they need to be bundled into a single file, possibly thanks to the \`@yarnpkg/builder\` package).
`,examples:[['Download and activate the "@yarnpkg/plugin-exec" plugin',"$0 plugin import @yarnpkg/plugin-exec"],['Download and activate the "@yarnpkg/plugin-exec" plugin (shorthand)',"$0 plugin import exec"],["Download and activate a community plugin","$0 plugin import https://example.org/path/to/plugin.js"],["Activate a local plugin","$0 plugin import ./path/to/plugin.js"]]});async function tO(r,e,{project:t,report:i}){let{configuration:n}=t,s={},o={exports:s};(0,Cae.runInNewContext)(e.toString(),{module:o,exports:s});let a=o.exports.name,l=`.yarn/plugins/${a}.cjs`,c=x.resolve(t.cwd,l);i.reportInfo(0,`Saving the new plugin in ${ee.pretty(n,l,"magenta")}`),await M.mkdirPromise(x.dirname(c),{recursive:!0}),await M.writeFilePromise(c,e);let u={path:l,spec:r};await ye.updateConfiguration(t.cwd,g=>{let f=[],h=!1;for(let p of g.plugins||[]){let C=typeof p!="string"?p.path:p,y=x.resolve(t.cwd,U.toPortablePath(C)),{name:B}=Ie.dynamicRequire(y);B!==a?f.push(p):(f.push(u),h=!0)}return h||f.push(u),{...g,plugins:f}})}var M8e=({pluginName:r,noMinify:e},t)=>[["yarn",`build:${r}`,...e?["--no-minify"]:[],"|"]],xu=class extends De{constructor(){super(...arguments);this.installPath=z.String("--path",{description:"The path where the repository should be cloned to"});this.repository=z.String("--repository","https://github.com/yarnpkg/berry.git",{description:"The repository that should be cloned"});this.branch=z.String("--branch","master",{description:"The branch of the repository that should be cloned"});this.noMinify=z.Boolean("--no-minify",!1,{description:"Build a plugin for development (debugging) - non-minified and non-mangled"});this.force=z.Boolean("-f,--force",!1,{description:"Always clone the repository instead of trying to fetch the latest commits"});this.name=z.String()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),i=typeof this.installPath<"u"?x.resolve(this.context.cwd,U.toPortablePath(this.installPath)):x.resolve(U.toPortablePath((0,mae.tmpdir)()),"yarnpkg-sources",li.makeHash(this.repository).slice(0,6));return(await Ge.start({configuration:t,stdout:this.context.stdout},async s=>{let{project:o}=await je.find(t,this.context.cwd),a=P.parseIdent(this.name.replace(/^((@yarnpkg\/)?plugin-)?/,"@yarnpkg/plugin-")),l=P.stringifyIdent(a),c=await bu(t);if(!Object.prototype.hasOwnProperty.call(c,l))throw new at(51,`Couldn't find a plugin named "${l}" on the remote registry. Note that only the plugins referenced on our website (https://github.com/yarnpkg/berry/blob/master/plugins.yml) can be built and imported from sources.`);let u=l;await $T(this,{configuration:t,report:s,target:i}),await eO(u,this,{project:o,report:s,target:i})})).exitCode()}};xu.paths=[["plugin","import","from","sources"]],xu.usage=ve.Usage({category:"Plugin-related commands",description:"build a plugin from sources",details:`
This command clones the Yarn repository into a temporary folder, builds the specified contrib plugin and updates the configuration to reference it in further CLI invocations.
The plugins can be referenced by their short name if sourced from the official Yarn repository.
`,examples:[['Build and activate the "@yarnpkg/plugin-exec" plugin',"$0 plugin import from sources @yarnpkg/plugin-exec"],['Build and activate the "@yarnpkg/plugin-exec" plugin (shorthand)',"$0 plugin import from sources exec"]]});async function eO(r,{context:e,noMinify:t},{project:i,report:n,target:s}){let o=r.replace(/@yarnpkg\//,""),{configuration:a}=i;n.reportSeparator(),n.reportInfo(0,`Building a fresh ${o}`),n.reportSeparator(),await Wm(M8e({pluginName:o,noMinify:t},s),{configuration:a,context:e,target:s}),n.reportSeparator();let l=x.resolve(s,`packages/${o}/bundles/${r}.js`),c=await M.readFilePromise(l);await tO(r,c,{project:i,report:n})}var Pu=class extends De{constructor(){super(...arguments);this.name=z.String()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i}=await je.find(t,this.context.cwd);return(await Ge.start({configuration:t,stdout:this.context.stdout},async s=>{let o=this.name,a=P.parseIdent(o);if(!t.plugins.has(o))throw new be(`${P.prettyIdent(t,a)} isn't referenced by the current configuration`);let l=`.yarn/plugins/${o}.cjs`,c=x.resolve(i.cwd,l);M.existsSync(c)&&(s.reportInfo(0,`Removing ${ee.pretty(t,l,ee.Type.PATH)}...`),await M.removePromise(c)),s.reportInfo(0,"Updating the configuration..."),await ye.updateConfiguration(i.cwd,u=>{if(!Array.isArray(u.plugins))return u;let g=u.plugins.filter(f=>f.path!==l);return u.plugins.length===g.length?u:{...u,plugins:g}})})).exitCode()}};Pu.paths=[["plugin","remove"]],Pu.usage=ve.Usage({category:"Plugin-related commands",description:"remove a plugin",details:`
This command deletes the specified plugin from the .yarn/plugins folder and removes it from the configuration.
**Note:** The plugins have to be referenced by their name property, which can be obtained using the \`yarn plugin runtime\` command. Shorthands are not allowed.
`,examples:[["Remove a plugin imported from the Yarn repository","$0 plugin remove @yarnpkg/plugin-typescript"],["Remove a plugin imported from a local file","$0 plugin remove my-local-plugin"]]});var Du=class extends De{constructor(){super(...arguments);this.json=z.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"})}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins);return(await Ge.start({configuration:t,json:this.json,stdout:this.context.stdout},async n=>{for(let s of t.plugins.keys()){let o=this.context.plugins.plugins.has(s),a=s;o&&(a+=" [builtin]"),n.reportJson({name:s,builtin:o}),n.reportInfo(null,`${a}`)}})).exitCode()}};Du.paths=[["plugin","runtime"]],Du.usage=ve.Usage({category:"Plugin-related commands",description:"list the active plugins",details:`
This command prints the currently active plugins. Will be displayed both builtin plugins and external plugins.
`,examples:[["List the currently active plugins","$0 plugin runtime"]]});var ku=class extends De{constructor(){super(...arguments);this.idents=z.Rest()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n}=await je.find(t,this.context.cwd),s=await Rt.find(t);if(!n)throw new ct(i.cwd,this.context.cwd);let o=new Set;for(let l of this.idents)o.add(P.parseIdent(l).identHash);if(await i.restoreInstallState({restoreResolutions:!1}),await i.resolveEverything({cache:s,report:new ti}),o.size>0)for(let l of i.storedPackages.values())o.has(l.identHash)&&i.storedBuildState.delete(l.locatorHash);else i.storedBuildState.clear();return(await Ge.start({configuration:t,stdout:this.context.stdout,includeLogs:!this.context.quiet},async l=>{await i.install({cache:s,report:l})})).exitCode()}};ku.paths=[["rebuild"]],ku.usage=ve.Usage({description:"rebuild the project's native packages",details:`
This command will automatically cause Yarn to forget about previous compilations of the given packages and to run them again.
Note that while Yarn forgets the compilation, the previous artifacts aren't erased from the filesystem and may affect the next builds (in good or bad). To avoid this, you may remove the .yarn/unplugged folder, or any other relevant location where packages might have been stored (Yarn may offer a way to do that automatically in the future).
By default all packages will be rebuilt, but you can filter the list by specifying the names of the packages you want to clear from memory.
`,examples:[["Rebuild all packages","$0 rebuild"],["Rebuild fsevents only","$0 rebuild fsevents"]]});var rO=Pe(wn());ls();var Ru=class extends De{constructor(){super(...arguments);this.all=z.Boolean("-A,--all",!1,{description:"Apply the operation to all workspaces from the current project"});this.mode=z.String("--mode",{description:"Change what artifacts installs generate",validator:Xi(es)});this.patterns=z.Rest()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n}=await je.find(t,this.context.cwd),s=await Rt.find(t);if(!n)throw new ct(i.cwd,this.context.cwd);await i.restoreInstallState({restoreResolutions:!1});let o=this.all?i.workspaces:[n],a=["dependencies","devDependencies","peerDependencies"],l=[],c=!1,u=[];for(let p of this.patterns){let C=!1,y=P.parseIdent(p);for(let B of o){let v=[...B.manifest.peerDependenciesMeta.keys()];for(let D of(0,rO.default)(v,p))B.manifest.peerDependenciesMeta.delete(D),c=!0,C=!0;for(let D of a){let L=B.manifest.getForScope(D),H=[...L.values()].map(j=>P.stringifyIdent(j));for(let j of(0,rO.default)(H,P.stringifyIdent(y))){let{identHash:$}=P.parseIdent(j),V=L.get($);if(typeof V>"u")throw new Error("Assertion failed: Expected the descriptor to be registered");B.manifest[D].delete($),u.push([B,D,V]),c=!0,C=!0}}}C||l.push(p)}let g=l.length>1?"Patterns":"Pattern",f=l.length>1?"don't":"doesn't",h=this.all?"any":"this";if(l.length>0)throw new be(`${g} ${ee.prettyList(t,l,xi.CODE)} ${f} match any packages referenced by ${h} workspace`);return c?(await t.triggerMultipleHooks(C=>C.afterWorkspaceDependencyRemoval,u),(await Ge.start({configuration:t,stdout:this.context.stdout},async C=>{await i.install({cache:s,report:C,mode:this.mode})})).exitCode()):0}};Ru.paths=[["remove"]],Ru.usage=ve.Usage({description:"remove dependencies from the project",details:`
This command will remove the packages matching the specified patterns from the current workspace.
If the \`--mode=<mode>\` option is set, Yarn will change which artifacts are generated. The modes currently supported are:
- \`skip-build\` will not run the build scripts at all. Note that this is different from setting \`enableScripts\` to false because the latter will disable build scripts, and thus affect the content of the artifacts generated on disk, whereas the former will just disable the build step - but not the scripts themselves, which just won't run.
- \`update-lockfile\` will skip the link step altogether, and only fetch packages that are missing from the lockfile (or that have no associated checksums). This mode is typically used by tools like Renovate or Dependabot to keep a lockfile up-to-date without incurring the full install cost.
This command accepts glob patterns as arguments (if valid Idents and supported by [micromatch](https://github.com/micromatch/micromatch)). Make sure to escape the patterns, to prevent your own shell from trying to expand them.
`,examples:[["Remove a dependency from the current project","$0 remove lodash"],["Remove a dependency from all workspaces at once","$0 remove lodash --all"],["Remove all dependencies starting with `eslint-`","$0 remove 'eslint-*'"],["Remove all dependencies with the `@babel` scope","$0 remove '@babel/*'"],["Remove all dependencies matching `react-dom` or `react-helmet`","$0 remove 'react-{dom,helmet}'"]]});var Eae=J("util"),_h=class extends De{async execute(){let e=await ye.find(this.context.cwd,this.context.plugins),{project:t,workspace:i}=await je.find(e,this.context.cwd);if(!i)throw new ct(t.cwd,this.context.cwd);return(await Ge.start({configuration:e,stdout:this.context.stdout},async s=>{let o=i.manifest.scripts,a=Ie.sortMap(o.keys(),u=>u),l={breakLength:1/0,colors:e.get("enableColors"),maxArrayLength:2},c=a.reduce((u,g)=>Math.max(u,g.length),0);for(let[u,g]of o.entries())s.reportInfo(null,`${u.padEnd(c," ")} ${(0,Eae.inspect)(g,l)}`)})).exitCode()}};_h.paths=[["run"]];var Fu=class extends De{constructor(){super(...arguments);this.inspect=z.String("--inspect",!1,{tolerateBoolean:!0,description:"Forwarded to the underlying Node process when executing a binary"});this.inspectBrk=z.String("--inspect-brk",!1,{tolerateBoolean:!0,description:"Forwarded to the underlying Node process when executing a binary"});this.topLevel=z.Boolean("-T,--top-level",!1,{description:"Check the root workspace for scripts and/or binaries instead of the current one"});this.binariesOnly=z.Boolean("-B,--binaries-only",!1,{description:"Ignore any user defined scripts and only check for binaries"});this.silent=z.Boolean("--silent",{hidden:!0});this.scriptName=z.String();this.args=z.Proxy()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n,locator:s}=await je.find(t,this.context.cwd);await i.restoreInstallState();let o=this.topLevel?i.topLevelWorkspace.anchoredLocator:s;if(!this.binariesOnly&&await Wt.hasPackageScript(o,this.scriptName,{project:i}))return await Wt.executePackageScript(o,this.scriptName,this.args,{project:i,stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr});let a=await Wt.getPackageAccessibleBinaries(o,{project:i});if(a.get(this.scriptName)){let c=[];return this.inspect&&(typeof this.inspect=="string"?c.push(`--inspect=${this.inspect}`):c.push("--inspect")),this.inspectBrk&&(typeof this.inspectBrk=="string"?c.push(`--inspect-brk=${this.inspectBrk}`):c.push("--inspect-brk")),await Wt.executePackageAccessibleBinary(o,this.scriptName,this.args,{cwd:this.context.cwd,project:i,stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr,nodeArgs:c,packageAccessibleBinaries:a})}if(!this.topLevel&&!this.binariesOnly&&n&&this.scriptName.includes(":")){let u=(await Promise.all(i.workspaces.map(async g=>g.manifest.scripts.has(this.scriptName)?g:null))).filter(g=>g!==null);if(u.length===1)return await Wt.executeWorkspaceScript(u[0],this.scriptName,this.args,{stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr})}if(this.topLevel)throw this.scriptName==="node-gyp"?new be(`Couldn't find a script name "${this.scriptName}" in the top-level (used by ${P.prettyLocator(t,s)}). This typically happens because some package depends on "node-gyp" to build itself, but didn't list it in their dependencies. To fix that, please run "yarn add node-gyp" into your top-level workspace. You also can open an issue on the repository of the specified package to suggest them to use an optional peer dependency.`):new be(`Couldn't find a script name "${this.scriptName}" in the top-level (used by ${P.prettyLocator(t,s)}).`);{if(this.scriptName==="global")throw new be("The 'yarn global' commands have been removed in 2.x - consider using 'yarn dlx' or a third-party plugin instead");let c=[this.scriptName].concat(this.args);for(let[u,g]of vh)for(let f of g)if(c.length>=f.length&&JSON.stringify(c.slice(0,f.length))===JSON.stringify(f))throw new be(`Couldn't find a script named "${this.scriptName}", but a matching command can be found in the ${u} plugin. You can install it with "yarn plugin import ${u}".`);throw new be(`Couldn't find a script named "${this.scriptName}".`)}}};Fu.paths=[["run"]],Fu.usage=ve.Usage({description:"run a script defined in the package.json",details:`
This command will run a tool. The exact tool that will be executed will depend on the current state of your workspace:
- If the \`scripts\` field from your local package.json contains a matching script name, its definition will get executed.
- Otherwise, if one of the local workspace's dependencies exposes a binary with a matching name, this binary will get executed.
- Otherwise, if the specified name contains a colon character and if one of the workspaces in the project contains exactly one script with a matching name, then this script will get executed.
Whatever happens, the cwd of the spawned process will be the workspace that declares the script (which makes it possible to call commands cross-workspaces using the third syntax).
`,examples:[["Run the tests from the local workspace","$0 run test"],['Same thing, but without the "run" keyword',"$0 test"],["Inspect Webpack while running","$0 run --inspect-brk webpack"]]});var Nu=class extends De{constructor(){super(...arguments);this.save=z.Boolean("-s,--save",!1,{description:"Persist the resolution inside the top-level manifest"});this.descriptor=z.String();this.resolution=z.String()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n}=await je.find(t,this.context.cwd),s=await Rt.find(t);if(await i.restoreInstallState({restoreResolutions:!1}),!n)throw new ct(i.cwd,this.context.cwd);let o=P.parseDescriptor(this.descriptor,!0),a=P.makeDescriptor(o,this.resolution);return i.storedDescriptors.set(o.descriptorHash,o),i.storedDescriptors.set(a.descriptorHash,a),i.resolutionAliases.set(o.descriptorHash,a.descriptorHash),(await Ge.start({configuration:t,stdout:this.context.stdout},async c=>{await i.install({cache:s,report:c})})).exitCode()}};Nu.paths=[["set","resolution"]],Nu.usage=ve.Usage({description:"enforce a package resolution",details:'\n This command updates the resolution table so that `descriptor` is resolved by `resolution`.\n\n Note that by default this command only affect the current resolution table - meaning that this "manual override" will disappear if you remove the lockfile, or if the package disappear from the table. If you wish to make the enforced resolution persist whatever happens, add the `-s,--save` flag which will also edit the `resolutions` field from your top-level manifest.\n\n Note that no attempt is made at validating that `resolution` is a valid resolution entry for `descriptor`.\n ',examples:[["Force all instances of lodash@npm:^1.2.3 to resolve to 1.5.0","$0 set resolution lodash@npm:^1.2.3 1.5.0"]]});var Iae=Pe(wn()),Lu=class extends De{constructor(){super(...arguments);this.all=z.Boolean("-A,--all",!1,{description:"Unlink all workspaces belonging to the target project from the current one"});this.leadingArguments=z.Rest()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n}=await je.find(t,this.context.cwd),s=await Rt.find(t);if(!n)throw new ct(i.cwd,this.context.cwd);let o=i.topLevelWorkspace,a=new Set;if(this.leadingArguments.length===0&&this.all)for(let{pattern:c,reference:u}of o.manifest.resolutions)u.startsWith("portal:")&&a.add(c.descriptor.fullName);if(this.leadingArguments.length>0)for(let c of this.leadingArguments){let u=x.resolve(this.context.cwd,U.toPortablePath(c));if(Ie.isPathLike(c)){let g=await ye.find(u,this.context.plugins,{useRc:!1,strict:!1}),{project:f,workspace:h}=await je.find(g,u);if(!h)throw new ct(f.cwd,u);if(this.all){for(let p of f.workspaces)p.manifest.name&&a.add(P.stringifyIdent(p.locator));if(a.size===0)throw new be("No workspace found to be unlinked in the target project")}else{if(!h.manifest.name)throw new be("The target workspace doesn't have a name and thus cannot be unlinked");a.add(P.stringifyIdent(h.locator))}}else{let g=[...o.manifest.resolutions.map(({pattern:f})=>f.descriptor.fullName)];for(let f of(0,Iae.default)(g,c))a.add(f)}}return o.manifest.resolutions=o.manifest.resolutions.filter(({pattern:c})=>!a.has(c.descriptor.fullName)),(await Ge.start({configuration:t,stdout:this.context.stdout},async c=>{await i.install({cache:s,report:c})})).exitCode()}};Lu.paths=[["unlink"]],Lu.usage=ve.Usage({description:"disconnect the local project from another one",details:`
This command will remove any resolutions in the project-level manifest that would have been added via a yarn link with similar arguments.
`,examples:[["Unregister a remote workspace in the current project","$0 unlink ~/ts-loader"],["Unregister all workspaces from a remote project in the current project","$0 unlink ~/jest --all"],["Unregister all previously linked workspaces","$0 unlink --all"],["Unregister all workspaces matching a glob","$0 unlink '@babel/*' 'pkg-{a,b}'"]]});var yae=Pe(Um()),iO=Pe(wn());ls();var ml=class extends De{constructor(){super(...arguments);this.interactive=z.Boolean("-i,--interactive",{description:"Offer various choices, depending on the detected upgrade paths"});this.exact=z.Boolean("-E,--exact",!1,{description:"Don't use any semver modifier on the resolved range"});this.tilde=z.Boolean("-T,--tilde",!1,{description:"Use the `~` semver modifier on the resolved range"});this.caret=z.Boolean("-C,--caret",!1,{description:"Use the `^` semver modifier on the resolved range"});this.recursive=z.Boolean("-R,--recursive",!1,{description:"Resolve again ALL resolutions for those packages"});this.mode=z.String("--mode",{description:"Change what artifacts installs generate",validator:Xi(es)});this.patterns=z.Rest()}async execute(){return this.recursive?await this.executeUpRecursive():await this.executeUpClassic()}async executeUpRecursive(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n}=await je.find(t,this.context.cwd),s=await Rt.find(t);if(!n)throw new ct(i.cwd,this.context.cwd);await i.restoreInstallState({restoreResolutions:!1});let o=[...i.storedDescriptors.values()],a=o.map(g=>P.stringifyIdent(g)),l=new Set;for(let g of this.patterns){if(P.parseDescriptor(g).range!=="unknown")throw new be("Ranges aren't allowed when using --recursive");for(let f of(0,iO.default)(a,g)){let h=P.parseIdent(f);l.add(h.identHash)}}let c=o.filter(g=>l.has(g.identHash));for(let g of c)i.storedDescriptors.delete(g.descriptorHash),i.storedResolutions.delete(g.descriptorHash);return(await Ge.start({configuration:t,stdout:this.context.stdout},async g=>{await i.install({cache:s,report:g})})).exitCode()}async executeUpClassic(){var y;let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n}=await je.find(t,this.context.cwd),s=await Rt.find(t);if(!n)throw new ct(i.cwd,this.context.cwd);await i.restoreInstallState({restoreResolutions:!1});let o=(y=this.interactive)!=null?y:t.get("preferInteractive"),a=Hm(this,i),l=o?["keep","reuse","project","latest"]:["project","latest"],c=[],u=[];for(let B of this.patterns){let v=!1,D=P.parseDescriptor(B);for(let L of i.workspaces)for(let H of["dependencies","devDependencies"]){let $=[...L.manifest.getForScope(H).values()].map(V=>P.stringifyIdent(V));for(let V of(0,iO.default)($,P.stringifyIdent(D))){let W=P.parseIdent(V),_=L.manifest[H].get(W.identHash);if(typeof _>"u")throw new Error("Assertion failed: Expected the descriptor to be registered");let A=P.makeDescriptor(W,D.range);c.push(Promise.resolve().then(async()=>[L,H,_,await Gm(A,{project:i,workspace:L,cache:s,target:H,modifier:a,strategies:l})])),v=!0}}v||u.push(B)}if(u.length>1)throw new be(`Patterns ${ee.prettyList(t,u,xi.CODE)} don't match any packages referenced by any workspace`);if(u.length>0)throw new be(`Pattern ${ee.prettyList(t,u,xi.CODE)} doesn't match any packages referenced by any workspace`);let g=await Promise.all(c),f=await ra.start({configuration:t,stdout:this.context.stdout,suggestInstall:!1},async B=>{for(let[,,v,{suggestions:D,rejections:L}]of g){let H=D.filter(j=>j.descriptor!==null);if(H.length===0){let[j]=L;if(typeof j>"u")throw new Error("Assertion failed: Expected an error to have been set");let $=this.cli.error(j);i.configuration.get("enableNetwork")?B.reportError(27,`${P.prettyDescriptor(t,v)} can't be resolved to a satisfying range
${$}`):B.reportError(27,`${P.prettyDescriptor(t,v)} can't be resolved to a satisfying range (note: network resolution has been disabled)
${$}`)}else H.length>1&&!o&&B.reportError(27,`${P.prettyDescriptor(t,v)} has multiple possible upgrade strategies; use -i to disambiguate manually`)}});if(f.hasErrors())return f.exitCode();let h=!1,p=[];for(let[B,v,,{suggestions:D}]of g){let L,H=D.filter(W=>W.descriptor!==null),j=H[0].descriptor,$=H.every(W=>P.areDescriptorsEqual(W.descriptor,j));H.length===1||$?L=j:(h=!0,{answer:L}=await(0,yae.prompt)({type:"select",name:"answer",message:`Which range to you want to use in ${P.prettyWorkspace(t,B)} \u276F ${v}?`,choices:D.map(({descriptor:W,name:_,reason:A})=>W?{name:_,hint:A,descriptor:W}:{name:_,hint:A,disabled:!0}),onCancel:()=>process.exit(130),result(W){return this.find(W,"descriptor")},stdin:this.context.stdin,stdout:this.context.stdout}));let V=B.manifest[v].get(L.identHash);if(typeof V>"u")throw new Error("Assertion failed: This descriptor should have a matching entry");if(V.descriptorHash!==L.descriptorHash)B.manifest[v].set(L.identHash,L),p.push([B,v,V,L]);else{let W=t.makeResolver(),_={project:i,resolver:W},A=W.bindDescriptor(V,B.anchoredLocator,_);i.forgetResolution(A)}}return await t.triggerMultipleHooks(B=>B.afterWorkspaceDependencyReplacement,p),h&&this.context.stdout.write(`
`),(await Ge.start({configuration:t,stdout:this.context.stdout},async B=>{await i.install({cache:s,report:B,mode:this.mode})})).exitCode()}};ml.paths=[["up"]],ml.usage=ve.Usage({description:"upgrade dependencies across the project",details:"\n This command upgrades the packages matching the list of specified patterns to their latest available version across the whole project (regardless of whether they're part of `dependencies` or `devDependencies` - `peerDependencies` won't be affected). This is a project-wide command: all workspaces will be upgraded in the process.\n\n If `-R,--recursive` is set the command will change behavior and no other switch will be allowed. When operating under this mode `yarn up` will force all ranges matching the selected packages to be resolved again (often to the highest available versions) before being stored in the lockfile. It however won't touch your manifests anymore, so depending on your needs you might want to run both `yarn up` and `yarn up -R` to cover all bases.\n\n If `-i,--interactive` is set (or if the `preferInteractive` settings is toggled on) the command will offer various choices, depending on the detected upgrade paths. Some upgrades require this flag in order to resolve ambiguities.\n\n The, `-C,--caret`, `-E,--exact` and `-T,--tilde` options have the same meaning as in the `add` command (they change the modifier used when the range is missing or a tag, and are ignored when the range is explicitly set).\n\n If the `--mode=<mode>` option is set, Yarn will change which artifacts are generated. The modes currently supported are:\n\n - `skip-build` will not run the build scripts at all. Note that this is different from setting `enableScripts` to false because the latter will disable build scripts, and thus affect the content of the artifacts generated on disk, whereas the former will just disable the build step - but not the scripts themselves, which just won't run.\n\n - `update-lockfile` will skip the link step altogether, and only fetch packages that are missing from the lockfile (or that have no associated checksums). This mode is typically used by tools like Renovate or Dependabot to keep a lockfile up-to-date without incurring the full install cost.\n\n Generally you can see `yarn up` as a counterpart to what was `yarn upgrade --latest` in Yarn 1 (ie it ignores the ranges previously listed in your manifests), but unlike `yarn upgrade` which only upgraded dependencies in the current workspace, `yarn up` will upgrade all workspaces at the same time.\n\n This command accepts glob patterns as arguments (if valid Descriptors and supported by [micromatch](https://github.com/micromatch/micromatch)). Make sure to escape the patterns, to prevent your own shell from trying to expand them.\n\n **Note:** The ranges have to be static, only the package scopes and names can contain glob patterns.\n ",examples:[["Upgrade all instances of lodash to the latest release","$0 up lodash"],["Upgrade all instances of lodash to the latest release, but ask confirmation for each","$0 up lodash -i"],["Upgrade all instances of lodash to 1.2.3","$0 up [email protected]"],["Upgrade all instances of packages with the `@babel` scope to the latest release","$0 up '@babel/*'"],["Upgrade all instances of packages containing the word `jest` to the latest release","$0 up '*jest*'"],["Upgrade all instances of packages with the `@babel` scope to 7.0.0","$0 up '@babel/*@7.0.0'"]]}),ml.schema=[av("recursive",lc.Forbids,["interactive","exact","tilde","caret"],{ignore:[void 0,!1]})];var Tu=class extends De{constructor(){super(...arguments);this.recursive=z.Boolean("-R,--recursive",!1,{description:"List, for each workspace, what are all the paths that lead to the dependency"});this.json=z.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.peers=z.Boolean("--peers",!1,{description:"Also print the peer dependencies that match the specified name"});this.package=z.String()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n}=await je.find(t,this.context.cwd);if(!n)throw new ct(i.cwd,this.context.cwd);await i.restoreInstallState();let s=P.parseIdent(this.package).identHash,o=this.recursive?K8e(i,s,{configuration:t,peers:this.peers}):U8e(i,s,{configuration:t,peers:this.peers});$n.emitTree(o,{configuration:t,stdout:this.context.stdout,json:this.json,separators:1})}};Tu.paths=[["why"]],Tu.usage=ve.Usage({description:"display the reason why a package is needed",details:`
This command prints the exact reasons why a package appears in the dependency tree.
If \`-R,--recursive\` is set, the listing will go in depth and will list, for each workspaces, what are all the paths that lead to the dependency. Note that the display is somewhat optimized in that it will not print the package listing twice for a single package, so if you see a leaf named "Foo" when looking for "Bar", it means that "Foo" already got printed higher in the tree.
`,examples:[["Explain why lodash is used in your project","$0 why lodash"]]});function U8e(r,e,{configuration:t,peers:i}){let n=Ie.sortMap(r.storedPackages.values(),a=>P.stringifyLocator(a)),s={},o={children:s};for(let a of n){let l={};for(let u of a.dependencies.values()){if(!i&&a.peerDependencies.has(u.identHash))continue;let g=r.storedResolutions.get(u.descriptorHash);if(!g)throw new Error("Assertion failed: The resolution should have been registered");let f=r.storedPackages.get(g);if(!f)throw new Error("Assertion failed: The package should have been registered");if(f.identHash!==e)continue;{let p=P.stringifyLocator(a);s[p]={value:[a,ee.Type.LOCATOR],children:l}}let h=P.stringifyLocator(f);l[h]={value:[{descriptor:u,locator:f},ee.Type.DEPENDENT]}}}return o}function K8e(r,e,{configuration:t,peers:i}){let n=Ie.sortMap(r.workspaces,f=>P.stringifyLocator(f.anchoredLocator)),s=new Set,o=new Set,a=f=>{if(s.has(f.locatorHash))return 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OQ=class{supports(e,t){return ep(e.reference)}getLocalPath(e,t){return null}async fetch(e,t){let i=t.checksums.get(e.locatorHash)||null,n=uO(e),s=new Map(t.checksums);s.set(n.locatorHash,i);let o={...t,checksums:s},a=await this.downloadHosted(n,o);if(a!==null)return a;let[l,c,u]=await t.cache.fetchPackageFromCache(e,i,{onHit:()=>t.report.reportCacheHit(e),onMiss:()=>t.report.reportCacheMiss(e,`${P.prettyLocator(t.project.configuration,e)} can't be found in the cache and will be fetched from the remote repository`),loader:()=>this.cloneFromRemote(n,o),skipIntegrityCheck:t.skipIntegrityCheck,...t.cacheOptions});return{packageFs:l,releaseFs:c,prefixPath:P.getIdentVendorPath(e),checksum:u}}async downloadHosted(e,t){return t.project.configuration.reduceHook(i=>i.fetchHostedRepository,null,e,t)}async cloneFromRemote(e,t){let i=await fO(e.reference,t.project.configuration),n=zm(e.reference),s=x.join(i,"package.tgz");await 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ot.find(i.prefixPath,{baseFs:i.packageFs}),i.releaseFs);return{...e,version:n.version||"0.0.0",languageName:n.languageName||t.project.configuration.get("defaultLanguageName"),linkType:"HARD",conditions:n.getConditions(),dependencies:n.dependencies,peerDependencies:n.peerDependencies,dependenciesMeta:n.dependenciesMeta,peerDependenciesMeta:n.peerDependenciesMeta,bin:n.bin}}};var s4e={configuration:{changesetBaseRefs:{description:"The base git refs that the current HEAD is compared against when detecting changes. 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","base64")).toString()),EO}var 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Soft links don't support build scripts, so they'll be ignored.`),[]):t&&t.built===!1?(n==null||n.reportInfoOnce(5,`${P.prettyLocator(i,r)} lists build scripts, but its build has been explicitly disabled through configuration.`),[]):!i.get("enableScripts")&&!t.built?(n==null||n.reportWarningOnce(4,`${P.prettyLocator(i,r)} lists build scripts, but all build scripts have been disabled.`),[]):Ile(r,"build",{configuration:i,report:n})?s:[]}var Aze=new Set([".exe",".h",".hh",".hpp",".c",".cc",".cpp",".java",".jar",".node"]);function eM(r){return r.packageFs.getExtractHint({relevantExtensions:Aze})}function tM(r){let e=x.join(r.prefixPath,"binding.gyp");return r.packageFs.existsSync(e)}var hE={};ut(hE,{getUnpluggedPath:()=>fE});function fE(r,{configuration:e}){return x.resolve(e.get("pnpUnpluggedFolder"),P.slugifyLocator(r))}var lze=new Set([P.makeIdent(null,"open").identHash,P.makeIdent(null,"opn").identHash]),wl=class{constructor(){this.mode="strict";this.pnpCache=new Map}supportsPackage(e,t){return this.isEnabled(t)}async findPackageLocation(e,t){if(!this.isEnabled(t))throw new Error("Assertion failed: Expected the PnP linker to be enabled");let i=Bl(t.project).cjs;if(!M.existsSync(i))throw new be(`The project in ${ee.pretty(t.project.configuration,`${t.project.cwd}/package.json`,ee.Type.PATH)} doesn't seem to have been installed - running an install there might help`);let n=Ie.getFactoryWithDefault(this.pnpCache,i,()=>Ie.dynamicRequire(i,{cachingStrategy:Ie.CachingStrategy.FsTime})),s={name:P.stringifyIdent(e),reference:e.reference},o=n.getPackageInformation(s);if(!o)throw new be(`Couldn't find ${P.prettyLocator(t.project.configuration,e)} in the currently installed PnP map - running an install might help`);return U.toPortablePath(o.packageLocation)}async findPackageLocator(e,t){if(!this.isEnabled(t))return null;let i=Bl(t.project).cjs;if(!M.existsSync(i))return null;let s=Ie.getFactoryWithDefault(this.pnpCache,i,()=>Ie.dynamicRequire(i,{cachingStrategy:Ie.CachingStrategy.FsTime})).findPackageLocator(U.fromPortablePath(e));return s?P.makeLocator(P.parseIdent(s.name),s.reference):null}makeInstaller(e){return new Yu(e)}isEnabled(e){return!(e.project.configuration.get("nodeLinker")!=="pnp"||e.project.configuration.get("pnpMode")!==this.mode)}},Yu=class{constructor(e){this.opts=e;this.mode="strict";this.asyncActions=new Ie.AsyncActions(10);this.packageRegistry=new Map;this.virtualTemplates=new Map;this.isESMLoaderRequired=!1;this.customData={store:new Map};this.unpluggedPaths=new Set;this.opts=e}getCustomDataKey(){return JSON.stringify({name:"PnpInstaller",version:2})}attachCustomData(e){this.customData=e}async installPackage(e,t,i){let n=P.stringifyIdent(e),s=e.reference,o=!!this.opts.project.tryWorkspaceByLocator(e),a=P.isVirtualLocator(e),l=e.peerDependencies.size>0&&!a,c=!l&&!o,u=!l&&e.linkType!=="SOFT",g,f;if(c||u){let D=a?P.devirtualizeLocator(e):e;g=this.customData.store.get(D.locatorHash),typeof g>"u"&&(g=await cze(t),e.linkType==="HARD"&&this.customData.store.set(D.locatorHash,g)),g.manifest.type==="module"&&(this.isESMLoaderRequired=!0),f=this.opts.project.getDependencyMeta(D,e.version)}let h=c?rb(e,g,f,{configuration:this.opts.project.configuration,report:this.opts.report}):[],p=u?await this.unplugPackageIfNeeded(e,g,t,f,i):t.packageFs;if(x.isAbsolute(t.prefixPath))throw new Error(`Assertion failed: Expected the prefix path (${t.prefixPath}) to be relative to the parent`);let C=x.resolve(p.getRealPath(),t.prefixPath),y=rM(this.opts.project.cwd,C),B=new Map,v=new Set;if(a){for(let D of e.peerDependencies.values())B.set(P.stringifyIdent(D),null),v.add(P.stringifyIdent(D));if(!o){let D=P.devirtualizeLocator(e);this.virtualTemplates.set(D.locatorHash,{location:rM(this.opts.project.cwd,Br.resolveVirtual(C)),locator:D})}}return Ie.getMapWithDefault(this.packageRegistry,n).set(s,{packageLocation:y,packageDependencies:B,packagePeers:v,linkType:e.linkType,discardFromLookup:t.discardFromLookup||!1}),{packageLocation:C,buildDirective:h.length>0?h:null}}async attachInternalDependencies(e,t){let i=this.getPackageInformation(e);for(let[n,s]of t){let o=P.areIdentsEqual(n,s)?s.reference:[P.stringifyIdent(s),s.reference];i.packageDependencies.set(P.stringifyIdent(n),o)}}async attachExternalDependents(e,t){for(let i of t)this.getDiskInformation(i).packageDependencies.set(P.stringifyIdent(e),e.reference)}async finalizeInstall(){if(this.opts.project.configuration.get("pnpMode")!==this.mode)return;let e=Bl(this.opts.project);if(M.existsSync(e.cjsLegacy)&&(this.opts.report.reportWarning(0,`Removing the old ${ee.pretty(this.opts.project.configuration,xt.pnpJs,ee.Type.PATH)} file. You might need to manually update existing references to reference the new ${ee.pretty(this.opts.project.configuration,xt.pnpCjs,ee.Type.PATH)} file. If you use Editor SDKs, you'll have to rerun ${ee.pretty(this.opts.project.configuration,"yarn sdks",ee.Type.CODE)}.`),await M.removePromise(e.cjsLegacy)),this.isEsmEnabled()||await M.removePromise(e.esmLoader),this.opts.project.configuration.get("nodeLinker")!=="pnp"){await M.removePromise(e.cjs),await M.removePromise(this.opts.project.configuration.get("pnpDataPath")),await M.removePromise(e.esmLoader),await M.removePromise(this.opts.project.configuration.get("pnpUnpluggedFolder"));return}for(let{locator:u,location:g}of this.virtualTemplates.values())Ie.getMapWithDefault(this.packageRegistry,P.stringifyIdent(u)).set(u.reference,{packageLocation:g,packageDependencies:new Map,packagePeers:new Set,linkType:"SOFT",discardFromLookup:!1});this.packageRegistry.set(null,new Map([[null,this.getPackageInformation(this.opts.project.topLevelWorkspace.anchoredLocator)]]));let t=this.opts.project.configuration.get("pnpFallbackMode"),i=this.opts.project.workspaces.map(({anchoredLocator:u})=>({name:P.stringifyIdent(u),reference:u.reference})),n=t!=="none",s=[],o=new Map,a=Ie.buildIgnorePattern([".yarn/sdks/**",...this.opts.project.configuration.get("pnpIgnorePatterns")]),l=this.packageRegistry,c=this.opts.project.configuration.get("pnpShebang");if(t==="dependencies-only")for(let u of this.opts.project.storedPackages.values())this.opts.project.tryWorkspaceByLocator(u)&&s.push({name:P.stringifyIdent(u),reference:u.reference});return await this.asyncActions.wait(),await this.finalizeInstallWithPnp({dependencyTreeRoots:i,enableTopLevelFallback:n,fallbackExclusionList:s,fallbackPool:o,ignorePattern:a,packageRegistry:l,shebang:c}),{customData:this.customData}}async transformPnpSettings(e){}isEsmEnabled(){if(this.opts.project.configuration.sources.has("pnpEnableEsmLoader"))return this.opts.project.configuration.get("pnpEnableEsmLoader");if(this.isESMLoaderRequired)return!0;for(let e of this.opts.project.workspaces)if(e.manifest.type==="module")return!0;return!1}async finalizeInstallWithPnp(e){let t=Bl(this.opts.project),i=this.opts.project.configuration.get("pnpDataPath"),n=await this.locateNodeModules(e.ignorePattern);if(n.length>0){this.opts.report.reportWarning(31,"One or more node_modules have been detected and will be removed. This operation may take some time.");for(let o of n)await M.removePromise(o)}if(await this.transformPnpSettings(e),this.opts.project.configuration.get("pnpEnableInlining")){let o=YAe(e);await M.changeFilePromise(t.cjs,o,{automaticNewlines:!0,mode:493}),await M.removePromise(i)}else{let o=x.relative(x.dirname(t.cjs),i),{dataFile:a,loaderFile:l}=jAe({...e,dataLocation:o});await M.changeFilePromise(t.cjs,l,{automaticNewlines:!0,mode:493}),await M.changeFilePromise(i,a,{automaticNewlines:!0,mode:420})}this.isEsmEnabled()&&(this.opts.report.reportWarning(0,"ESM support for PnP uses the experimental loader API and is therefore experimental"),await M.changeFilePromise(t.esmLoader,(0,$O.default)(),{automaticNewlines:!0,mode:420}));let s=this.opts.project.configuration.get("pnpUnpluggedFolder");if(this.unpluggedPaths.size===0)await M.removePromise(s);else for(let o of await M.readdirPromise(s)){let a=x.resolve(s,o);this.unpluggedPaths.has(a)||await M.removePromise(a)}}async locateNodeModules(e){let t=[],i=e?new RegExp(e):null;for(let n of this.opts.project.workspaces){let s=x.join(n.cwd,"node_modules");if(i&&i.test(x.relative(this.opts.project.cwd,n.cwd))||!M.existsSync(s))continue;let o=await M.readdirPromise(s,{withFileTypes:!0}),a=o.filter(l=>!l.isDirectory()||l.name===".bin"||!l.name.startsWith("."));if(a.length===o.length)t.push(s);else for(let l of a)t.push(x.join(s,l.name))}return t}async unplugPackageIfNeeded(e,t,i,n,s){return this.shouldBeUnplugged(e,t,n)?this.unplugPackage(e,i,s):i.packageFs}shouldBeUnplugged(e,t,i){return typeof i.unplugged<"u"?i.unplugged:lze.has(e.identHash)||e.conditions!=null?!0:t.manifest.preferUnplugged!==null?t.manifest.preferUnplugged:!!(rb(e,t,i,{configuration:this.opts.project.configuration}).length>0||t.misc.extractHint)}async unplugPackage(e,t,i){let n=fE(e,{configuration:this.opts.project.configuration});return this.opts.project.disabledLocators.has(e.locatorHash)?new bo(n,{baseFs:t.packageFs,pathUtils:x}):(this.unpluggedPaths.add(n),i.holdFetchResult(this.asyncActions.set(e.locatorHash,async()=>{let s=x.join(n,t.prefixPath,".ready");await M.existsPromise(s)||(this.opts.project.storedBuildState.delete(e.locatorHash),await M.mkdirPromise(n,{recursive:!0}),await M.copyPromise(n,Oe.dot,{baseFs:t.packageFs,overwrite:!1}),await M.writeFilePromise(s,""))})),new qt(n))}getPackageInformation(e){let t=P.stringifyIdent(e),i=e.reference,n=this.packageRegistry.get(t);if(!n)throw new Error(`Assertion failed: The package information store should have been available (for ${P.prettyIdent(this.opts.project.configuration,e)})`);let s=n.get(i);if(!s)throw new Error(`Assertion failed: The package information should have been available (for ${P.prettyLocator(this.opts.project.configuration,e)})`);return s}getDiskInformation(e){let t=Ie.getMapWithDefault(this.packageRegistry,"@@disk"),i=rM(this.opts.project.cwd,e);return Ie.getFactoryWithDefault(t,i,()=>({packageLocation:i,packageDependencies:new Map,packagePeers:new Set,linkType:"SOFT",discardFromLookup:!1}))}};function rM(r,e){let t=x.relative(r,e);return t.match(/^\.{0,2}\//)||(t=`./${t}`),t.replace(/\/?$/,"/")}async function cze(r){var i;let e=(i=await ot.tryFind(r.prefixPath,{baseFs:r.packageFs}))!=null?i:new ot,t=new Set(["preinstall","install","postinstall"]);for(let n of e.scripts.keys())t.has(n)||e.scripts.delete(n);return{manifest:{scripts:e.scripts,preferUnplugged:e.preferUnplugged,type:e.type},misc:{extractHint:eM(r),hasBindingGyp:tM(r)}}}var yle=Pe(wn());var ju=class extends De{constructor(){super(...arguments);this.all=z.Boolean("-A,--all",!1,{description:"Unplug direct dependencies from the entire project"});this.recursive=z.Boolean("-R,--recursive",!1,{description:"Unplug both direct and transitive dependencies"});this.json=z.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.patterns=z.Rest()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n}=await je.find(t,this.context.cwd),s=await Rt.find(t);if(!n)throw new ct(i.cwd,this.context.cwd);if(t.get("nodeLinker")!=="pnp")throw new be("This command can only be used if the `nodeLinker` option is set to `pnp`");await i.restoreInstallState();let o=new Set(this.patterns),a=this.patterns.map(h=>{let p=P.parseDescriptor(h),C=p.range!=="unknown"?p:P.makeDescriptor(p,"*");if(!vt.validRange(C.range))throw new be(`The range of the descriptor patterns must be a valid semver range (${P.prettyDescriptor(t,C)})`);return y=>{let B=P.stringifyIdent(y);return!yle.default.isMatch(B,P.stringifyIdent(C))||y.version&&!vt.satisfiesWithPrereleases(y.version,C.range)?!1:(o.delete(h),!0)}}),l=()=>{let h=[];for(let p of i.storedPackages.values())!i.tryWorkspaceByLocator(p)&&!P.isVirtualLocator(p)&&a.some(C=>C(p))&&h.push(p);return h},c=h=>{let p=new Set,C=[],y=(B,v)=>{if(!p.has(B.locatorHash)&&(p.add(B.locatorHash),!i.tryWorkspaceByLocator(B)&&a.some(D=>D(B))&&C.push(B),!(v>0&&!this.recursive)))for(let D of B.dependencies.values()){let L=i.storedResolutions.get(D.descriptorHash);if(!L)throw new Error("Assertion failed: The resolution should have been registered");let H=i.storedPackages.get(L);if(!H)throw new Error("Assertion failed: The package should have been registered");y(H,v+1)}};for(let B of h){let v=i.storedPackages.get(B.anchoredLocator.locatorHash);if(!v)throw new Error("Assertion failed: The package should have been registered");y(v,0)}return C},u,g;if(this.all&&this.recursive?(u=l(),g="the project"):this.all?(u=c(i.workspaces),g="any workspace"):(u=c([n]),g="this workspace"),o.size>1)throw new be(`Patterns ${ee.prettyList(t,o,ee.Type.CODE)} don't match any packages referenced by ${g}`);if(o.size>0)throw new be(`Pattern ${ee.prettyList(t,o,ee.Type.CODE)} doesn't match any packages referenced by ${g}`);return u=Ie.sortMap(u,h=>P.stringifyLocator(h)),(await Ge.start({configuration:t,stdout:this.context.stdout,json:this.json},async h=>{var p;for(let C of u){let y=(p=C.version)!=null?p:"unknown",B=i.topLevelWorkspace.manifest.ensureDependencyMeta(P.makeDescriptor(C,y));B.unplugged=!0,h.reportInfo(0,`Will unpack ${P.prettyLocator(t,C)} to ${ee.pretty(t,fE(C,{configuration:t}),ee.Type.PATH)}`),h.reportJson({locator:P.stringifyLocator(C),version:y})}await i.topLevelWorkspace.persistManifest(),h.reportSeparator(),await i.install({cache:s,report:h})})).exitCode()}};ju.paths=[["unplug"]],ju.usage=ve.Usage({description:"force the unpacking of a list of packages",details:"\n This command will add the selectors matching the specified patterns to the list of packages that must be unplugged when installed.\n\n A package being unplugged means that instead of being referenced directly through its archive, it will be unpacked at install time in the directory configured via `pnpUnpluggedFolder`. Note that unpacking packages this way is generally not recommended because it'll make it harder to store your packages within the repository. However, it's a good approach to quickly and safely debug some packages, and can even sometimes be required depending on the context (for example when the package contains shellscripts).\n\n Running the command will set a persistent flag inside your top-level `package.json`, in the `dependenciesMeta` field. As such, to undo its effects, you'll need to revert the changes made to the manifest and run `yarn install` to apply the modification.\n\n By default, only direct dependencies from the current workspace are affected. If `-A,--all` is set, direct dependencies from the entire project are affected. Using the `-R,--recursive` flag will affect transitive dependencies as well as direct ones.\n\n This command accepts glob patterns inside the scope and name components (not the range). Make sure to escape the patterns to prevent your own shell from trying to expand them.\n ",examples:[["Unplug the lodash dependency from the active workspace","yarn unplug lodash"],["Unplug all instances of lodash referenced by any workspace","yarn unplug lodash -A"],["Unplug all instances of lodash referenced by the active workspace and its dependencies","yarn unplug lodash -R"],["Unplug all instances of lodash, anywhere","yarn unplug lodash -AR"],["Unplug one specific version of lodash","yarn unplug [email protected]"],["Unplug all packages with the `@babel` scope","yarn unplug '@babel/*'"],["Unplug all packages (only for testing, not recommended)","yarn unplug -R '*'"]]});var Bl=r=>({cjs:x.join(r.cwd,xt.pnpCjs),cjsLegacy:x.join(r.cwd,xt.pnpJs),esmLoader:x.join(r.cwd,".pnp.loader.mjs")}),Qle=r=>/\s/.test(r)?JSON.stringify(r):r;async function uze(r,e,t){let i=Bl(r),n=`--require ${Qle(U.fromPortablePath(i.cjs))}`;if(M.existsSync(i.esmLoader)&&(n=`${n} --experimental-loader ${(0,Ble.pathToFileURL)(U.fromPortablePath(i.esmLoader)).href}`),i.cjs.includes(" ")&&wle.default.lt(process.versions.node,"12.0.0"))throw new Error(`Expected the build location to not include spaces when using Node < 12.0.0 (${process.versions.node})`);if(M.existsSync(i.cjs)){let s=e.NODE_OPTIONS||"",o=/\s*--require\s+\S*\.pnp\.c?js\s*/g,a=/\s*--experimental-loader\s+\S*\.pnp\.loader\.mjs\s*/;s=s.replace(o," ").replace(a," ").trim(),s=s?`${n} ${s}`:n,e.NODE_OPTIONS=s}}async function gze(r,e){let t=Bl(r);e(t.cjs),e(t.esmLoader),e(r.configuration.get("pnpDataPath")),e(r.configuration.get("pnpUnpluggedFolder"))}var fze={hooks:{populateYarnPaths:gze,setupScriptEnvironment:uze},configuration:{nodeLinker:{description:'The linker used for installing Node packages, one of: "pnp", "node-modules"',type:"STRING",default:"pnp"},pnpMode:{description:"If 'strict', generates standard PnP maps. If 'loose', merges them with the n_m resolution.",type:"STRING",default:"strict"},pnpShebang:{description:"String to prepend to the generated PnP script",type:"STRING",default:"#!/usr/bin/env node"},pnpIgnorePatterns:{description:"Array of glob patterns; files matching them will use the classic resolution",type:"STRING",default:[],isArray:!0},pnpEnableEsmLoader:{description:"If true, Yarn will generate an ESM loader (`.pnp.loader.mjs`). 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i}function Yue(r,e){var i;let t=_Ve(r,e);for(let n of Object.keys(t))if((i=t[n])!=null?i:0>0)return!0;return!1}function jue(r,e){var s;let t={},i={children:t},n=Object.values(r.advisories);if(e!=null){let o=Gue(e);n=n.filter(a=>o.has(a.severity))}for(let o of Ie.sortMap(n,a=>a.module_name))t[o.module_name]={label:o.module_name,value:ee.tuple(ee.Type.RANGE,o.findings.map(a=>a.version).join(", ")),children:{ID:{label:"ID",value:ee.tuple(ee.Type.NUMBER,o.id)},Issue:{label:"Issue",value:ee.tuple(ee.Type.NO_HINT,o.title)},URL:{label:"URL",value:ee.tuple(ee.Type.URL,o.url)},Severity:{label:"Severity",value:ee.tuple(ee.Type.NO_HINT,o.severity)},["Vulnerable Versions"]:{label:"Vulnerable Versions",value:ee.tuple(ee.Type.RANGE,o.vulnerable_versions)},["Patched Versions"]:{label:"Patched Versions",value:ee.tuple(ee.Type.RANGE,o.patched_versions)},Via:{label:"Via",value:ee.tuple(ee.Type.NO_HINT,Array.from(new Set(o.findings.map(a=>a.paths).flat().map(a=>a.split(">")[0]))).join(", "))},Recommendation:{label:"Recommendation",value:ee.tuple(ee.Type.NO_HINT,(s=o.recommendation)==null?void 0:s.replace(/\n/g," "))}}};return i}function que(r,e,{all:t,environment:i}){let n=t?r.workspaces:[e],s=["all","production"].includes(i),o=[];if(s)for(let c of n)for(let u of c.manifest.dependencies.values())o.push(u);let a=["all","development"].includes(i),l=[];if(a)for(let c of n)for(let u of c.manifest.devDependencies.values())l.push(u);return Hue([...o,...l].filter(c=>P.parseRange(c.range).protocol===null))}function Jue(r,e,{all:t}){var s;let i=ZVe(r,e,{all:t}),n={};for(let o of r.storedPackages.values())n[P.stringifyIdent(o)]={version:(s=o.version)!=null?s:"0.0.0",integrity:o.identHash,requires:Hue(o.dependencies.values()),dev:i.has(P.convertLocatorToDescriptor(o).descriptorHash)};return n}var _u=class extends De{constructor(){super(...arguments);this.all=z.Boolean("-A,--all",!1,{description:"Audit dependencies from all workspaces"});this.recursive=z.Boolean("-R,--recursive",!1,{description:"Audit transitive dependencies as well"});this.environment=z.String("--environment","all",{description:"Which environments to cover",validator:Xi(Mb)});this.json=z.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.severity=z.String("--severity","info",{description:"Minimal severity requested for packages to be displayed",validator:Xi(Ub)});this.excludes=z.Array("--exclude",[],{description:"Array of glob patterns of packages to exclude from audit"});this.ignores=z.Array("--ignore",[],{description:"Array of glob patterns of advisory ID's to ignore in the audit report"})}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n}=await je.find(t,this.context.cwd);if(!n)throw new ct(i.cwd,this.context.cwd);await i.restoreInstallState();let s=que(i,n,{all:this.all,environment:this.environment}),o=Jue(i,n,{all:this.all});if(!this.recursive)for(let C of Object.keys(o))Object.prototype.hasOwnProperty.call(s,C)?o[C].requires={}:delete o[C];let a=Array.from(new Set([...t.get("npmAuditExcludePackages"),...this.excludes]));if(a){for(let C of Object.keys(s))kE.default.isMatch(C,a)&&delete s[C];for(let C of Object.keys(o))kE.default.isMatch(C,a)&&delete o[C];for(let C of Object.keys(o))for(let y of Object.keys(o[C].requires))kE.default.isMatch(y,a)&&delete o[C].requires[y]}let l={requires:s,dependencies:o},c=or.getAuditRegistry(n.manifest,{configuration:t}),u,g=await ra.start({configuration:t,stdout:this.context.stdout},async()=>{u=await Mt.post("/-/npm/v1/security/audits/quick",l,{authType:Mt.AuthType.BEST_EFFORT,configuration:t,jsonResponse:!0,registry:c})});if(g.hasErrors())return g.exitCode();let f=Array.from(new Set([...t.get("npmAuditIgnoreAdvisories"),...this.ignores]));if(f){for(let C of Object.keys(u.advisories))if(kE.default.isMatch(C,f)){let y=u.advisories[C],B=0;y.findings.forEach(v=>B+=v.paths.length),u.metadata.vulnerabilities[y.severity]-=B,delete u.advisories[C]}}let h=Yue(u.metadata.vulnerabilities,this.severity);return!this.json&&h?($n.emitTree(jue(u,this.severity),{configuration:t,json:this.json,stdout:this.context.stdout,separators:2}),1):(await Ge.start({configuration:t,includeFooter:!1,json:this.json,stdout:this.context.stdout},async C=>{C.reportJson(u),h||C.reportInfo(1,"No audit suggestions")})).exitCode()}};_u.paths=[["npm","audit"]],_u.usage=ve.Usage({description:"perform a vulnerability audit against the installed packages",details:`
This command checks for known security reports on the packages you use. The reports are by default extracted from the npm registry, and may or may not be relevant to your actual program (not all vulnerabilities affect all code paths).
For consistency with our other commands the default is to only check the direct dependencies for the active workspace. To extend this search to all workspaces, use \`-A,--all\`. To extend this search to both direct and transitive dependencies, use \`-R,--recursive\`.
Applying the \`--severity\` flag will limit the audit table to vulnerabilities of the corresponding severity and above. Valid values are ${DE.map(t=>`\`${t}\``).join(", ")}.
If the \`--json\` flag is set, Yarn will print the output exactly as received from the registry. Regardless of this flag, the process will exit with a non-zero exit code if a report is found for the selected packages.
If certain packages produce false positives for a particular environment, the \`--exclude\` flag can be used to exclude any number of packages from the audit. This can also be set in the configuration file with the \`npmAuditExcludePackages\` option.
If particular advisories are needed to be ignored, the \`--ignore\` flag can be used with Advisory ID's to ignore any number of advisories in the audit report. This can also be set in the configuration file with the \`npmAuditIgnoreAdvisories\` option.
To understand the dependency tree requiring vulnerable packages, check the raw report with the \`--json\` flag or use \`yarn why <package>\` to get more information as to who depends on them.
`,examples:[["Checks for known security issues with the installed packages. The output is a list of known issues.","yarn npm audit"],["Audit dependencies in all workspaces","yarn npm audit --all"],["Limit auditing to `dependencies` (excludes `devDependencies`)","yarn npm audit --environment production"],["Show audit report as valid JSON","yarn npm audit --json"],["Audit all direct and transitive dependencies","yarn npm audit --recursive"],["Output moderate (or more severe) vulnerabilities","yarn npm audit --severity moderate"],["Exclude certain packages","yarn npm audit --exclude package1 --exclude package2"],["Ignore specific advisories","yarn npm audit --ignore 1234567 --ignore 7654321"]]});var g1=Pe(Xr()),f1=J("util"),$u=class extends De{constructor(){super(...arguments);this.fields=z.String("-f,--fields",{description:"A comma-separated list of manifest fields that should be displayed"});this.json=z.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.packages=z.Rest()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i}=await je.find(t,this.context.cwd),n=typeof this.fields<"u"?new Set(["name",...this.fields.split(/\s*,\s*/)]):null,s=[],o=!1,a=await Ge.start({configuration:t,includeFooter:!1,json:this.json,stdout:this.context.stdout},async l=>{for(let c of this.packages){let u;if(c==="."){let L=i.topLevelWorkspace;if(!L.manifest.name)throw new be(`Missing ${ee.pretty(t,"name",ee.Type.CODE)} field in ${U.fromPortablePath(x.join(L.cwd,xt.manifest))}`);u=P.makeDescriptor(L.manifest.name,"unknown")}else u=P.parseDescriptor(c);let g=Mt.getIdentUrl(u),f=h1(await Mt.get(g,{configuration:t,ident:u,jsonResponse:!0,customErrorMessage:Mt.customPackageError})),h=Object.keys(f.versions).sort(g1.default.compareLoose),C=f["dist-tags"].latest||h[h.length-1],y=vt.validRange(u.range);if(y){let L=g1.default.maxSatisfying(h,y);L!==null?C=L:(l.reportWarning(0,`Unmet range ${P.prettyRange(t,u.range)}; falling back to the latest version`),o=!0)}else Object.prototype.hasOwnProperty.call(f["dist-tags"],u.range)?C=f["dist-tags"][u.range]:u.range!=="unknown"&&(l.reportWarning(0,`Unknown tag ${P.prettyRange(t,u.range)}; falling back to the latest version`),o=!0);let B=f.versions[C],v={...f,...B,version:C,versions:h},D;if(n!==null){D={};for(let L of n){let H=v[L];if(typeof H<"u")D[L]=H;else{l.reportWarning(1,`The ${ee.pretty(t,L,ee.Type.CODE)} field doesn't exist inside ${P.prettyIdent(t,u)}'s information`),o=!0;continue}}}else this.json||(delete v.dist,delete v.readme,delete v.users),D=v;l.reportJson(D),this.json||s.push(D)}});f1.inspect.styles.name="cyan";for(let l of s)(l!==s[0]||o)&&this.context.stdout.write(`
`),this.context.stdout.write(`${(0,f1.inspect)(l,{depth:1/0,colors:!0,compact:!1})}
`);return a.exitCode()}};$u.paths=[["npm","info"]],$u.usage=ve.Usage({category:"Npm-related commands",description:"show information about a package",details:"\n This command fetches information about a package from the npm registry and prints it in a tree format.\n\n The package does not have to be installed locally, but needs to have been published (in particular, local changes will be ignored even for workspaces).\n\n Append `@<range>` to the package argument to provide information specific to the latest version that satisfies the range or to the corresponding tagged version. If the range is invalid or if there is no version satisfying the range, the command will print a warning and fall back to the latest version.\n\n If the `-f,--fields` option is set, it's a comma-separated list of fields which will be used to only display part of the package information.\n\n By default, this command won't return the `dist`, `readme`, and `users` fields, since they are often very long. To explicitly request those fields, explicitly list them with the `--fields` flag or request the output in JSON mode.\n ",examples:[["Show all available information about react (except the `dist`, `readme`, and `users` fields)","yarn npm info react"],["Show all available information about react as valid JSON (including the `dist`, `readme`, and `users` fields)","yarn npm info react --json"],["Show all available information about [email protected]","yarn npm info [email protected]"],["Show all available information about react@next","yarn npm info react@next"],["Show the description of react","yarn npm info react --fields description"],["Show all available versions of react","yarn npm info react --fields versions"],["Show the readme of react","yarn npm info react --fields readme"],["Show a few fields of react","yarn npm info react --fields homepage,repository"]]});function h1(r){if(Array.isArray(r)){let e=[];for(let t of r)t=h1(t),t&&e.push(t);return e}else if(typeof r=="object"&&r!==null){let e={};for(let t of Object.keys(r)){if(t.startsWith("_"))continue;let i=h1(r[t]);i&&(e[t]=i)}return e}else return r||null}var Wue=Pe(Um()),eg=class extends De{constructor(){super(...arguments);this.scope=z.String("-s,--scope",{description:"Login to the registry configured for a given scope"});this.publish=z.Boolean("--publish",!1,{description:"Login to the publish registry"})}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),i=await Kb({configuration:t,cwd:this.context.cwd,publish:this.publish,scope:this.scope});return(await Ge.start({configuration:t,stdout:this.context.stdout,includeFooter:!1},async s=>{let o=await t9e({configuration:t,registry:i,report:s,stdin:this.context.stdin,stdout:this.context.stdout}),a=`/-/user/org.couchdb.user:${encodeURIComponent(o.name)}`,l=await Mt.put(a,o,{attemptedAs:o.name,configuration:t,registry:i,jsonResponse:!0,authType:Mt.AuthType.NO_AUTH});return await e9e(i,l.token,{configuration:t,scope:this.scope}),s.reportInfo(0,"Successfully logged in")})).exitCode()}};eg.paths=[["npm","login"]],eg.usage=ve.Usage({category:"Npm-related commands",description:"store new login info to access the npm registry",details:"\n This command will ask you for your username, password, and 2FA One-Time-Password (when it applies). It will then modify your local configuration (in your home folder, never in the project itself) to reference the new tokens thus generated.\n\n Adding the `-s,--scope` flag will cause the authentication to be done against whatever registry is configured for the associated scope (see also `npmScopes`).\n\n Adding the `--publish` flag will cause the authentication to be done against the registry used when publishing the package (see also `publishConfig.registry` and `npmPublishRegistry`).\n ",examples:[["Login to the default registry","yarn npm login"],["Login to the registry linked to the @my-scope registry","yarn npm login --scope my-scope"],["Login to the publish registry for the current package","yarn npm login --publish"]]});async function Kb({scope:r,publish:e,configuration:t,cwd:i}){return r&&e?or.getScopeRegistry(r,{configuration:t,type:or.RegistryType.PUBLISH_REGISTRY}):r?or.getScopeRegistry(r,{configuration:t}):e?or.getPublishRegistry((await Hh(t,i)).manifest,{configuration:t}):or.getDefaultRegistry({configuration:t})}async function e9e(r,e,{configuration:t,scope:i}){let n=o=>a=>{let l=Ie.isIndexableObject(a)?a:{},c=l[o],u=Ie.isIndexableObject(c)?c:{};return{...l,[o]:{...u,npmAuthToken:e}}},s=i?{npmScopes:n(i)}:{npmRegistries:n(r)};return await ye.updateHomeConfiguration(s)}async function t9e({configuration:r,registry:e,report:t,stdin:i,stdout:n}){t.reportInfo(0,`Logging in to ${ee.pretty(r,e,ee.Type.URL)}`);let s=!1;if(e.match(/^https:\/\/npm\.pkg\.github\.com(\/|$)/)&&(t.reportInfo(0,"You seem to be using the GitHub Package Registry. Tokens must be generated with the 'repo', 'write:packages', and 'read:packages' permissions."),s=!0),t.reportSeparator(),process.env.YARN_IS_TEST_ENV)return{name:process.env.YARN_INJECT_NPM_USER||"",password:process.env.YARN_INJECT_NPM_PASSWORD||""};let{username:o,password:a}=await(0,Wue.prompt)([{type:"input",name:"username",message:"Username:",required:!0,onCancel:()=>process.exit(130),stdin:i,stdout:n},{type:"password",name:"password",message:s?"Token:":"Password:",required:!0,onCancel:()=>process.exit(130),stdin:i,stdout:n}]);return t.reportSeparator(),{name:o,password:a}}var mp=new Set(["npmAuthIdent","npmAuthToken"]),tg=class extends De{constructor(){super(...arguments);this.scope=z.String("-s,--scope",{description:"Logout of the registry configured for a given scope"});this.publish=z.Boolean("--publish",!1,{description:"Logout of the publish registry"});this.all=z.Boolean("-A,--all",!1,{description:"Logout of all registries"})}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),i=async()=>{var c;let s=await Kb({configuration:t,cwd:this.context.cwd,publish:this.publish,scope:this.scope}),o=await ye.find(this.context.cwd,this.context.plugins),a=P.makeIdent((c=this.scope)!=null?c:null,"pkg");return!or.getAuthConfiguration(s,{configuration:o,ident:a}).get("npmAuthToken")};return(await Ge.start({configuration:t,stdout:this.context.stdout},async s=>{if(this.all&&(await i9e(),s.reportInfo(0,"Successfully logged out from everything")),this.scope){await zue("npmScopes",this.scope),await i()?s.reportInfo(0,`Successfully logged out from ${this.scope}`):s.reportWarning(0,"Scope authentication settings removed, but some other ones settings still apply to it");return}let o=await Kb({configuration:t,cwd:this.context.cwd,publish:this.publish});await zue("npmRegistries",o),await i()?s.reportInfo(0,`Successfully logged out from ${o}`):s.reportWarning(0,"Registry authentication settings removed, but some other ones settings still apply to it")})).exitCode()}};tg.paths=[["npm","logout"]],tg.usage=ve.Usage({category:"Npm-related commands",description:"logout of the npm registry",details:"\n This command will log you out by modifying your local configuration (in your home folder, never in the project itself) to delete all credentials linked to a registry.\n\n Adding the `-s,--scope` flag will cause the deletion to be done against whatever registry is configured for the associated scope (see also `npmScopes`).\n\n Adding the `--publish` flag will cause the deletion to be done against the registry used when publishing the package (see also `publishConfig.registry` and `npmPublishRegistry`).\n\n Adding the `-A,--all` flag will cause the deletion to be done against all registries and scopes.\n ",examples:[["Logout of the default registry","yarn npm logout"],["Logout of the @my-scope scope","yarn npm logout --scope my-scope"],["Logout of the publish registry for the current package","yarn npm logout --publish"],["Logout of all registries","yarn npm logout --all"]]});function r9e(r,e){let t=r[e];if(!Ie.isIndexableObject(t))return!1;let i=new Set(Object.keys(t));if([...mp].every(s=>!i.has(s)))return!1;for(let s of mp)i.delete(s);if(i.size===0)return r[e]=void 0,!0;let n={...t};for(let s of mp)delete n[s];return r[e]=n,!0}async function i9e(){let r=e=>{let t=!1,i=Ie.isIndexableObject(e)?{...e}:{};i.npmAuthToken&&(delete i.npmAuthToken,t=!0);for(let n of Object.keys(i))r9e(i,n)&&(t=!0);if(Object.keys(i).length!==0)return t?i:e};return await ye.updateHomeConfiguration({npmRegistries:r,npmScopes:r})}async function zue(r,e){return await ye.updateHomeConfiguration({[r]:t=>{let i=Ie.isIndexableObject(t)?t:{};if(!Object.prototype.hasOwnProperty.call(i,e))return t;let n=i[e],s=Ie.isIndexableObject(n)?n:{},o=new Set(Object.keys(s));if([...mp].every(l=>!o.has(l)))return t;for(let l of mp)o.delete(l);if(o.size===0)return Object.keys(i).length===1?void 0:{...i,[e]:void 0};let a={};for(let l of mp)a[l]=void 0;return{...i,[e]:{...s,...a}}}})}var rg=class extends De{constructor(){super(...arguments);this.access=z.String("--access",{description:"The access for the published package (public or restricted)"});this.tag=z.String("--tag","latest",{description:"The tag on the registry that the package should be attached to"});this.tolerateRepublish=z.Boolean("--tolerate-republish",!1,{description:"Warn and exit when republishing an already existing version of a package"});this.otp=z.String("--otp",{description:"The OTP token to use with the command"})}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n}=await je.find(t,this.context.cwd);if(!n)throw new ct(i.cwd,this.context.cwd);if(n.manifest.private)throw new be("Private workspaces cannot be published");if(n.manifest.name===null||n.manifest.version===null)throw new be("Workspaces must have valid names and versions to be published on an external registry");await i.restoreInstallState();let s=n.manifest.name,o=n.manifest.version,a=or.getPublishRegistry(n.manifest,{configuration:t});return(await Ge.start({configuration:t,stdout:this.context.stdout},async c=>{var u,g;if(this.tolerateRepublish)try{let f=await Mt.get(Mt.getIdentUrl(s),{configuration:t,registry:a,ident:s,jsonResponse:!0});if(!Object.prototype.hasOwnProperty.call(f,"versions"))throw new at(15,'Registry returned invalid data for - missing "versions" field');if(Object.prototype.hasOwnProperty.call(f.versions,o)){c.reportWarning(0,`Registry already knows about version ${o}; skipping.`);return}}catch(f){if(((g=(u=f.originalError)==null?void 0:u.response)==null?void 0:g.statusCode)!==404)throw f}await Wt.maybeExecuteWorkspaceLifecycleScript(n,"prepublish",{report:c}),await la.prepareForPack(n,{report:c},async()=>{let f=await la.genPackList(n);for(let B of f)c.reportInfo(null,B);let h=await la.genPackStream(n,f),p=await Ie.bufferStream(h),C=await Cp.getGitHead(n.cwd),y=await Cp.makePublishBody(n,p,{access:this.access,tag:this.tag,registry:a,gitHead:C});await Mt.put(Mt.getIdentUrl(s),y,{configuration:t,registry:a,ident:s,otp:this.otp,jsonResponse:!0})}),c.reportInfo(0,"Package archive published")})).exitCode()}};rg.paths=[["npm","publish"]],rg.usage=ve.Usage({category:"Npm-related commands",description:"publish the active workspace to the npm registry",details:'\n This command will pack the active workspace into a fresh archive and upload it to the npm registry.\n\n The package will by default be attached to the `latest` tag on the registry, but this behavior can be overriden by using the `--tag` option.\n\n Note that for legacy reasons scoped packages are by default published with an access set to `restricted` (aka "private packages"). This requires you to register for a paid npm plan. In case you simply wish to publish a public scoped package to the registry (for free), just add the `--access public` flag. This behavior can be enabled by default through the `npmPublishAccess` settings.\n ',examples:[["Publish the active workspace","yarn npm publish"]]});var Vue=Pe(Xr());var ig=class extends De{constructor(){super(...arguments);this.json=z.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.package=z.String({required:!1})}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n}=await je.find(t,this.context.cwd),s;if(typeof this.package<"u")s=P.parseIdent(this.package);else{if(!n)throw new ct(i.cwd,this.context.cwd);if(!n.manifest.name)throw new be(`Missing 'name' field in ${U.fromPortablePath(x.join(n.cwd,xt.manifest))}`);s=n.manifest.name}let o=await RE(s,t),l={children:Ie.sortMap(Object.entries(o),([c])=>c).map(([c,u])=>({value:ee.tuple(ee.Type.RESOLUTION,{descriptor:P.makeDescriptor(s,c),locator:P.makeLocator(s,u)})}))};return $n.emitTree(l,{configuration:t,json:this.json,stdout:this.context.stdout})}};ig.paths=[["npm","tag","list"]],ig.usage=ve.Usage({category:"Npm-related commands",description:"list all dist-tags of a package",details:`
This command will list all tags of a package from the npm registry.
If the package is not specified, Yarn will default to the current workspace.
`,examples:[["List all tags of package `my-pkg`","yarn npm tag list my-pkg"]]});async function RE(r,e){let t=`/-/package${Mt.getIdentUrl(r)}/dist-tags`;return Mt.get(t,{configuration:e,ident:r,jsonResponse:!0,customErrorMessage:Mt.customPackageError})}var ng=class extends De{constructor(){super(...arguments);this.package=z.String();this.tag=z.String()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n}=await je.find(t,this.context.cwd);if(!n)throw new ct(i.cwd,this.context.cwd);let s=P.parseDescriptor(this.package,!0),o=s.range;if(!Vue.default.valid(o))throw new be(`The range ${ee.pretty(t,s.range,ee.Type.RANGE)} must be a valid semver version`);let a=or.getPublishRegistry(n.manifest,{configuration:t}),l=ee.pretty(t,s,ee.Type.IDENT),c=ee.pretty(t,o,ee.Type.RANGE),u=ee.pretty(t,this.tag,ee.Type.CODE);return(await Ge.start({configuration:t,stdout:this.context.stdout},async f=>{let h=await RE(s,t);Object.prototype.hasOwnProperty.call(h,this.tag)&&h[this.tag]===o&&f.reportWarning(0,`Tag ${u} is already set to version ${c}`);let p=`/-/package${Mt.getIdentUrl(s)}/dist-tags/${encodeURIComponent(this.tag)}`;await Mt.put(p,o,{configuration:t,registry:a,ident:s,jsonRequest:!0,jsonResponse:!0}),f.reportInfo(0,`Tag ${u} added to version ${c} of package ${l}`)})).exitCode()}};ng.paths=[["npm","tag","add"]],ng.usage=ve.Usage({category:"Npm-related commands",description:"add a tag for a specific version of a package",details:`
This command will add a tag to the npm registry for a specific version of a package. If the tag already exists, it will be overwritten.
`,examples:[["Add a `beta` tag for version `2.3.4-beta.4` of package `my-pkg`","yarn npm tag add [email protected] beta"]]});var sg=class extends De{constructor(){super(...arguments);this.package=z.String();this.tag=z.String()}async execute(){if(this.tag==="latest")throw new be("The 'latest' tag cannot be removed.");let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n}=await je.find(t,this.context.cwd);if(!n)throw new ct(i.cwd,this.context.cwd);let s=P.parseIdent(this.package),o=or.getPublishRegistry(n.manifest,{configuration:t}),a=ee.pretty(t,this.tag,ee.Type.CODE),l=ee.pretty(t,s,ee.Type.IDENT),c=await RE(s,t);if(!Object.prototype.hasOwnProperty.call(c,this.tag))throw new be(`${a} is not a tag of package ${l}`);return(await Ge.start({configuration:t,stdout:this.context.stdout},async g=>{let f=`/-/package${Mt.getIdentUrl(s)}/dist-tags/${encodeURIComponent(this.tag)}`;await Mt.del(f,{configuration:t,registry:o,ident:s,jsonResponse:!0}),g.reportInfo(0,`Tag ${a} removed from package ${l}`)})).exitCode()}};sg.paths=[["npm","tag","remove"]],sg.usage=ve.Usage({category:"Npm-related commands",description:"remove a tag from a package",details:`
This command will remove a tag from a package from the npm registry.
`,examples:[["Remove the `beta` tag from package `my-pkg`","yarn npm tag remove my-pkg beta"]]});var og=class extends De{constructor(){super(...arguments);this.scope=z.String("-s,--scope",{description:"Print username for the registry configured for a given scope"});this.publish=z.Boolean("--publish",!1,{description:"Print username for the publish registry"})}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),i;return this.scope&&this.publish?i=or.getScopeRegistry(this.scope,{configuration:t,type:or.RegistryType.PUBLISH_REGISTRY}):this.scope?i=or.getScopeRegistry(this.scope,{configuration:t}):this.publish?i=or.getPublishRegistry((await Hh(t,this.context.cwd)).manifest,{configuration:t}):i=or.getDefaultRegistry({configuration:t}),(await Ge.start({configuration:t,stdout:this.context.stdout},async s=>{var a,l;let o;try{o=await Mt.get("/-/whoami",{configuration:t,registry:i,authType:Mt.AuthType.ALWAYS_AUTH,jsonResponse:!0,ident:this.scope?P.makeIdent(this.scope,""):void 0})}catch(c){if(((a=c.response)==null?void 0:a.statusCode)===401||((l=c.response)==null?void 0:l.statusCode)===403){s.reportError(41,"Authentication failed - your credentials may have expired");return}else throw c}s.reportInfo(0,o.username)})).exitCode()}};og.paths=[["npm","whoami"]],og.usage=ve.Usage({category:"Npm-related commands",description:"display the name of the authenticated user",details:"\n Print the username associated with the current authentication settings to the standard output.\n\n When using `-s,--scope`, the username printed will be the one that matches the authentication settings of the registry associated with the given scope (those settings can be overriden using the `npmRegistries` map, and the registry associated with the scope is configured via the `npmScopes` map).\n\n When using `--publish`, the registry we'll select will by default be the one used when publishing packages (`publishConfig.registry` or `npmPublishRegistry` if available, otherwise we'll fallback to the regular `npmRegistryServer`).\n ",examples:[["Print username for the default registry","yarn npm whoami"],["Print username for the registry on a given scope","yarn npm whoami --scope company"]]});var n9e={configuration:{npmPublishAccess:{description:"Default access of the published packages",type:"STRING",default:null},npmAuditExcludePackages:{description:"Array of glob patterns of packages to exclude from npm audit",type:"STRING",default:[],isArray:!0},npmAuditIgnoreAdvisories:{description:"Array of glob patterns of advisory IDs to exclude from npm audit",type:"STRING",default:[],isArray:!0}},commands:[_u,$u,eg,tg,rg,ng,ig,sg,og]},s9e=n9e;var Q1={};ut(Q1,{default:()=>y9e,patchUtils:()=>ag});var ag={};ut(ag,{applyPatchFile:()=>Gb,diffFolders:()=>w1,ensureUnpatchedDescriptor:()=>C1,extractPackageToDisk:()=>y1,extractPatchFlags:()=>rge,isParentRequired:()=>I1,loadPatchFiles:()=>TE,makeDescriptor:()=>m1,makeLocator:()=>E1,makePatchHash:()=>B1,parseDescriptor:()=>NE,parseLocator:()=>LE,parsePatchFile:()=>FE});var o9e=/^@@ -(\d+)(,(\d+))? 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`)+(n.hunk.parts[0].noNewlineAtEndOfFile?"":`
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The following error was reported by 'git':
${s}`);let o=t.startsWith("/")?a=>a.slice(1):a=>a;return n.replace(new RegExp(`(a|b)(${Ie.escapeRegExp(`/${o(t)}/`)})`,"g"),"$1/").replace(new RegExp(`(a|b)${Ie.escapeRegExp(`/${o(i)}/`)}`,"g"),"$1/").replace(new RegExp(Ie.escapeRegExp(`${t}/`),"g"),"").replace(new RegExp(Ie.escapeRegExp(`${i}/`),"g"),"")}function B1(r,e){let t=[];for(let{source:i}of r){if(i===null)continue;let n=FE(i);for(let s of n){let{semverExclusivity:o,...a}=s;o!==null&&e!==null&&!vt.satisfiesWithPrereleases(e,o)||t.push(JSON.stringify(a))}}return li.makeHash(`${3}`,...t).slice(0,6)}function ige(r,{configuration:e,report:t}){for(let i of r.parts)for(let n of i.lines)switch(i.type){case"context":t.reportInfo(null,` ${ee.pretty(e,n,"grey")}`);break;case"deletion":t.reportError(28,`- ${ee.pretty(e,n,ee.Type.REMOVED)}`);break;case"insertion":t.reportError(28,`+ ${ee.pretty(e,n,ee.Type.ADDED)}`);break;default:Ie.assertNever(i.type)}}var Yb=class{supports(e,t){return!!e.reference.startsWith("patch:")}getLocalPath(e,t){return null}async fetch(e,t){let i=t.checksums.get(e.locatorHash)||null,[n,s,o]=await t.cache.fetchPackageFromCache(e,i,{onHit:()=>t.report.reportCacheHit(e),onMiss:()=>t.report.reportCacheMiss(e,`${P.prettyLocator(t.project.configuration,e)} can't be found in the cache and will be fetched from the disk`),loader:()=>this.patchPackage(e,t),skipIntegrityCheck:t.skipIntegrityCheck,...t.cacheOptions});return{packageFs:n,releaseFs:s,prefixPath:P.getIdentVendorPath(e),localPath:this.getLocalPath(e,t),checksum:o}}async patchPackage(e,t){let{parentLocator:i,sourceLocator:n,sourceVersion:s,patchPaths:o}=LE(e),a=await TE(i,o,t),l=await M.mktempPromise(),c=x.join(l,"current.zip"),u=await t.fetcher.fetch(n,t),g=P.getIdentVendorPath(e),f=await on(),h=new Wr(c,{libzip:f,create:!0,level:t.project.configuration.get("compressionLevel")});await Ie.releaseAfterUseAsync(async()=>{await h.copyPromise(g,u.prefixPath,{baseFs:u.packageFs,stableSort:!0})},u.releaseFs),h.saveAndClose();for(let{source:p,optional:C}of a){if(p===null)continue;let y=new Wr(c,{libzip:f,level:t.project.configuration.get("compressionLevel")}),B=new qt(x.resolve(Oe.root,g),{baseFs:y});try{await Gb(FE(p),{baseFs:B,version:s})}catch(v){if(!(v instanceof Ip))throw v;let D=t.project.configuration.get("enableInlineHunks"),L=!D&&!C?" (set enableInlineHunks for details)":"",H=`${P.prettyLocator(t.project.configuration,e)}: ${v.message}${L}`,j=$=>{!D||ige(v.hunk,{configuration:t.project.configuration,report:$})};if(y.discardAndClose(),C){t.report.reportWarningOnce(66,H,{reportExtra:j});continue}else throw new at(66,H,j)}y.saveAndClose()}return new Wr(c,{libzip:f,level:t.project.configuration.get("compressionLevel")})}};var jb=class{supportsDescriptor(e,t){return!!e.range.startsWith("patch:")}supportsLocator(e,t){return!!e.reference.startsWith("patch:")}shouldPersistResolution(e,t){return!1}bindDescriptor(e,t,i){let{patchPaths:n}=NE(e);return n.every(s=>!I1(s))?e:P.bindDescriptor(e,{locator:P.stringifyLocator(t)})}getResolutionDependencies(e,t){let{sourceDescriptor:i}=NE(e);return[i]}async getCandidates(e,t,i){if(!i.fetchOptions)throw new Error("Assertion failed: This resolver cannot be used unless a fetcher is configured");let{parentLocator:n,sourceDescriptor:s,patchPaths:o}=NE(e),a=await TE(n,o,i.fetchOptions),l=t.get(s.descriptorHash);if(typeof l>"u")throw new Error("Assertion failed: The dependency should have been resolved");let c=B1(a,l.version);return[E1(e,{parentLocator:n,sourcePackage:l,patchPaths:o,patchHash:c})]}async getSatisfying(e,t,i){return null}async resolve(e,t){let{sourceLocator:i}=LE(e);return{...await t.resolver.resolve(i,t),...e}}};var Ag=class extends De{constructor(){super(...arguments);this.save=z.Boolean("-s,--save",!1,{description:"Add the patch to your resolution entries"});this.patchFolder=z.String()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n}=await je.find(t,this.context.cwd);if(!n)throw new ct(i.cwd,this.context.cwd);await i.restoreInstallState();let s=x.resolve(this.context.cwd,U.toPortablePath(this.patchFolder)),o=x.join(s,"../source"),a=x.join(s,"../.yarn-patch.json");if(!M.existsSync(o))throw new be("The argument folder didn't get created by 'yarn patch'");let l=await w1(o,s),c=await M.readJsonPromise(a),u=P.parseLocator(c.locator,!0);if(!i.storedPackages.has(u.locatorHash))throw new be("No package found in the project for the given locator");if(!this.save){this.context.stdout.write(l);return}let g=t.get("patchFolder"),f=x.join(g,`${P.slugifyLocator(u)}.patch`);await M.mkdirPromise(g,{recursive:!0}),await M.writeFilePromise(f,l);let h=new Map;for(let p of i.storedPackages.values()){if(P.isVirtualLocator(p))continue;let C=p.dependencies.get(u.identHash);if(!C)continue;let y=P.isVirtualDescriptor(C)?P.devirtualizeDescriptor(C):C,B=C1(y),v=i.storedResolutions.get(B.descriptorHash);if(!v)throw new Error("Assertion failed: Expected the resolution to have been registered");if(!i.storedPackages.get(v))throw new Error("Assertion failed: Expected the package to have been registered");let L=i.originalPackages.get(p.locatorHash);if(!L)throw new Error("Assertion failed: Expected the original package to have been registered");let H=L.dependencies.get(C.identHash);if(!H)throw new Error("Assertion failed: Expected the original dependency to have been registered");h.set(H.descriptorHash,H)}for(let p of h.values()){let C=m1(p,{parentLocator:null,sourceDescriptor:P.convertLocatorToDescriptor(u),sourceVersion:null,patchPaths:[`./${x.relative(i.cwd,f)}`]});i.topLevelWorkspace.manifest.resolutions.push({pattern:{descriptor:{fullName:P.stringifyIdent(C),description:p.range}},reference:C.range})}await i.persist()}};Ag.paths=[["patch-commit"]],Ag.usage=ve.Usage({description:"generate a patch out of a directory",details:"\n By default, this will print a patchfile on stdout based on the diff between the folder passed in and the original version of the package. Such file is suitable for consumption with the `patch:` protocol.\n\n With the `-s,--save` option set, the patchfile won't be printed on stdout anymore and will instead be stored within a local file (by default kept within `.yarn/patches`, but configurable via the `patchFolder` setting). A `resolutions` entry will also be added to your top-level manifest, referencing the patched package via the `patch:` protocol.\n\n Note that only folders generated by `yarn patch` are accepted as valid input for `yarn patch-commit`.\n "});var lg=class extends De{constructor(){super(...arguments);this.json=z.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.package=z.String()}async execute(){let t=await ye.find(this.context.cwd,this.context.plugins),{project:i,workspace:n}=await je.find(t,this.context.cwd),s=await Rt.find(t);if(!n)throw new ct(i.cwd,this.context.cwd);await i.restoreInstallState();let o=P.parseLocator(this.package);if(o.reference==="unknown"){let a=Ie.mapAndFilter([...i.storedPackages.values()],l=>l.identHash!==o.identHash?Ie.mapAndFilter.skip:P.isVirtualLocator(l)?Ie.mapAndFilter.skip:l);if(a.length===0)throw new be("No package found in the project for the given locator");if(a.length>1)throw new be(`Multiple candidate packages found; explicitly choose one of them (use \`yarn why <package>\` to get more information as to who depends on them):
${a.map(l=>`
- ${P.prettyLocator(t,l)}`).join("")}`);o=a[0]}if(!i.storedPackages.has(o.locatorHash))throw new be("No package found in the project for the given locator");await Ge.start({configuration:t,json:this.json,stdout:this.context.stdout},async a=>{let l=await y1(o,{cache:s,project:i});a.reportJson({locator:P.stringifyLocator(o),path:U.fromPortablePath(l)}),a.reportInfo(0,`Package ${P.prettyLocator(t,o)} got extracted with success!`),a.reportInfo(0,`You can now edit the following folder: ${ee.pretty(t,U.fromPortablePath(l),"magenta")}`),a.reportInfo(0,`Once you are done run ${ee.pretty(t,`yarn patch-commit -s ${process.platform==="win32"?'"':""}${U.fromPortablePath(l)}${process.platform==="win32"?'"':""}`,"cyan")} and Yarn will store a patchfile based on your changes.`)})}};lg.paths=[["patch"]],lg.usage=ve.Usage({description:"prepare a package for patching",details:"\n This command will cause a package to be extracted in a temporary directory intended to be editable at will.\n \n Once you're done with your changes, run `yarn patch-commit -s <path>` (with `<path>` being the temporary directory you received) to generate a patchfile and register it into your top-level manifest via the `patch:` protocol. Run `yarn patch-commit -h` for more details.\n "});var I9e={configuration:{enableInlineHunks:{description:"If true, the installs will print unmatched patch hunks",type:"BOOLEAN",default:!1},patchFolder:{description:"Folder where the patch files must be written",type:"ABSOLUTE_PATH",default:"./.yarn/patches"}},commands:[Ag,lg],fetchers:[Yb],resolvers:[jb]},y9e=I9e;var x1={};ut(x1,{default:()=>Q9e});var qb=class{supportsPackage(e,t){return this.isEnabled(t)}async findPackageLocation(e,t){if(!this.isEnabled(t))throw new Error("Assertion failed: Expected the pnpm linker to be enabled");let i=S1(),n=t.project.installersCustomData.get(i);if(!n)throw new be(`The project in ${ee.pretty(t.project.configuration,`${t.project.cwd}/package.json`,ee.Type.PATH)} doesn't seem to have been installed - running an install there might help`);let s=n.pathByLocator.get(e.locatorHash);if(typeof s>"u")throw new be(`Couldn't find ${P.prettyLocator(t.project.configuration,e)} in the currently installed pnpm map - running an install might help`);return s}async findPackageLocator(e,t){if(!this.isEnabled(t))return null;let i=S1(),n=t.project.installersCustomData.get(i);if(!n)throw new be(`The project in ${ee.pretty(t.project.configuration,`${t.project.cwd}/package.json`,ee.Type.PATH)} doesn't seem to have been installed - running an install there might help`);let s=e.match(/(^.*\/node_modules\/(@[^/]*\/)?[^/]+)(\/.*$)/);if(s){let l=n.locatorByPath.get(s[1]);if(l)return l}let o=e,a=e;do{a=o,o=x.dirname(a);let l=n.locatorByPath.get(a);if(l)return l}while(o!==a);return null}makeInstaller(e){return new b1(e)}isEnabled(e){return e.project.configuration.get("nodeLinker")==="pnpm"}},b1=class{constructor(e){this.opts=e;this.asyncActions=new Ie.AsyncActions(10);this.customData={pathByLocator:new Map,locatorByPath:new Map}}getCustomDataKey(){return S1()}attachCustomData(e){}async installPackage(e,t,i){switch(e.linkType){case"SOFT":return this.installPackageSoft(e,t,i);case"HARD":return this.installPackageHard(e,t,i)}throw new Error("Assertion failed: Unsupported package link type")}async installPackageSoft(e,t,i){let n=x.resolve(t.packageFs.getRealPath(),t.prefixPath);return this.customData.pathByLocator.set(e.locatorHash,n),{packageLocation:n,buildDirective:null}}async installPackageHard(e,t,i){var u;let n=w9e(e,{project:this.opts.project});this.customData.locatorByPath.set(n,P.stringifyLocator(e)),this.customData.pathByLocator.set(e.locatorHash,n),i.holdFetchResult(this.asyncActions.set(e.locatorHash,async()=>{await M.mkdirPromise(n,{recursive:!0}),await M.copyPromise(n,t.prefixPath,{baseFs:t.packageFs,overwrite:!1})}));let o=P.isVirtualLocator(e)?P.devirtualizeLocator(e):e,a={manifest:(u=await ot.tryFind(t.prefixPath,{baseFs:t.packageFs}))!=null?u:new ot,misc:{hasBindingGyp:po.hasBindingGyp(t)}},l=this.opts.project.getDependencyMeta(o,e.version),c=po.extractBuildScripts(e,a,l,{configuration:this.opts.project.configuration,report:this.opts.report});return{packageLocation:n,buildDirective:c}}async attachInternalDependencies(e,t){this.opts.project.configuration.get("nodeLinker")==="pnpm"&&(!nge(e,{project:this.opts.project})||this.asyncActions.reduce(e.locatorHash,async i=>{await i;let n=this.customData.pathByLocator.get(e.locatorHash);if(typeof n>"u")throw new Error(`Assertion failed: Expected the package to have been registered (${P.stringifyLocator(e)})`);let s=x.join(n,xt.nodeModules),o=[],a=await sge(s);for(let[l,c]of t){let u=c;nge(c,{project:this.opts.project})||(this.opts.report.reportWarningOnce(0,"The pnpm linker doesn't support providing different versions to workspaces' peer dependencies"),u=P.devirtualizeLocator(c));let g=this.customData.pathByLocator.get(u.locatorHash);if(typeof g>"u")throw new Error(`Assertion failed: Expected the package to have been registered (${P.stringifyLocator(c)})`);let f=P.stringifyIdent(l),h=x.join(s,f),p=x.relative(x.dirname(h),g),C=a.get(f);a.delete(f),o.push(Promise.resolve().then(async()=>{if(C){if(C.isSymbolicLink()&&await M.readlinkPromise(h)===p)return;await M.removePromise(h)}await M.mkdirpPromise(x.dirname(h)),process.platform=="win32"?await M.symlinkPromise(g,h,"junction"):await M.symlinkPromise(p,h)}))}o.push(oge(s,a)),await Promise.all(o)}))}async attachExternalDependents(e,t){throw new Error("External dependencies haven't been implemented for the pnpm linker")}async finalizeInstall(){let e=Age(this.opts.project);if(this.opts.project.configuration.get("nodeLinker")!=="pnpm")await M.removePromise(e);else{let t=[],i=new Set;for(let s of this.customData.pathByLocator.values()){let o=x.contains(e,s);if(o!==null){let[a,,...l]=o.split(x.sep);i.add(a);let c=x.join(e,a);t.push(M.readdirPromise(c).then(u=>Promise.all(u.map(async g=>{let f=x.join(c,g);if(g===xt.nodeModules){let h=await sge(f);return h.delete(l.join(x.sep)),oge(f,h)}else return M.removePromise(f)}))).catch(u=>{if(u.code!=="ENOENT")throw u}))}}let n;try{n=await M.readdirPromise(e)}catch{n=[]}for(let s of n)i.has(s)||t.push(M.removePromise(x.join(e,s)));await Promise.all(t)}return await this.asyncActions.wait(),await v1(e),this.opts.project.configuration.get("nodeLinker")!=="node-modules"&&await v1(age(this.opts.project)),{customData:this.customData}}};function S1(){return JSON.stringify({name:"PnpmInstaller",version:2})}function age(r){return x.join(r.cwd,xt.nodeModules)}function Age(r){return x.join(age(r),".store")}function w9e(r,{project:e}){let t=P.slugifyLocator(r),i=P.getIdentVendorPath(r);return x.join(Age(e),t,i)}function nge(r,{project:e}){return!P.isVirtualLocator(r)||!e.tryWorkspaceByLocator(r)}async function sge(r){let e=new Map,t=[];try{t=await M.readdirPromise(r,{withFileTypes:!0})}catch(i){if(i.code!=="ENOENT")throw i}try{for(let i of t)if(!i.name.startsWith("."))if(i.name.startsWith("@")){let n=await M.readdirPromise(x.join(r,i.name),{withFileTypes:!0});if(n.length===0)e.set(i.name,i);else for(let s of n)e.set(`${i.name}/${s.name}`,s)}else e.set(i.name,i)}catch(i){if(i.code!=="ENOENT")throw i}return e}async function oge(r,e){var n;let t=[],i=new Set;for(let s of e.keys()){t.push(M.removePromise(x.join(r,s)));let o=(n=P.tryParseIdent(s))==null?void 0:n.scope;o&&i.add(`@${o}`)}return Promise.all(t).then(()=>Promise.all([...i].map(s=>v1(x.join(r,s)))))}async function v1(r){try{await M.rmdirPromise(r)}catch(e){if(e.code!=="ENOENT"&&e.code!=="ENOTEMPTY")throw e}}var B9e={linkers:[qb]},Q9e=B9e;var BQ=()=>({modules:new Map([["@yarnpkg/cli",Nm],["@yarnpkg/core",sm],["@yarnpkg/fslib",Wp],["@yarnpkg/libzip",xC],["@yarnpkg/parsers",td],["@yarnpkg/shell",RC],["clipanion",F$(ud)],["semver",b9e],["typanion",fn],["yup",S9e],["@yarnpkg/plugin-essentials",pO],["@yarnpkg/plugin-compat",IO],["@yarnpkg/plugin-dlx",yO],["@yarnpkg/plugin-file",bO],["@yarnpkg/plugin-git",hO],["@yarnpkg/plugin-github",SO],["@yarnpkg/plugin-http",vO],["@yarnpkg/plugin-init",kO],["@yarnpkg/plugin-link",RO],["@yarnpkg/plugin-nm",hM],["@yarnpkg/plugin-npm",u1],["@yarnpkg/plugin-npm-cli",p1],["@yarnpkg/plugin-pack",o1],["@yarnpkg/plugin-patch",Q1],["@yarnpkg/plugin-pnp",iM],["@yarnpkg/plugin-pnpm",x1]]),plugins:new Set(["@yarnpkg/plugin-essentials","@yarnpkg/plugin-compat","@yarnpkg/plugin-dlx","@yarnpkg/plugin-file","@yarnpkg/plugin-git","@yarnpkg/plugin-github","@yarnpkg/plugin-http","@yarnpkg/plugin-init","@yarnpkg/plugin-link","@yarnpkg/plugin-nm","@yarnpkg/plugin-npm","@yarnpkg/plugin-npm-cli","@yarnpkg/plugin-pack","@yarnpkg/plugin-patch","@yarnpkg/plugin-pnp","@yarnpkg/plugin-pnpm"])});$0({binaryVersion:Lr||"<unknown>",pluginConfiguration:BQ()});})();
/*!
* buildToken
* Builds OAuth token prefix (helper function)
*
* @name buildToken
* @function
* @param {GitUrl} obj The parsed Git url object.
* @return {String} token prefix
*/
/*!
* fill-range <https://github.com/jonschlinkert/fill-range>
*
* Copyright (c) 2014-present, Jon Schlinkert.
* Licensed under the MIT License.
*/
/*!
* is-extglob <https://github.com/jonschlinkert/is-extglob>
*
* Copyright (c) 2014-2016, Jon Schlinkert.
* Licensed under the MIT License.
*/
/*!
* is-glob <https://github.com/jonschlinkert/is-glob>
*
* Copyright (c) 2014-2017, Jon Schlinkert.
* Released under the MIT License.
*/
/*!
* is-number <https://github.com/jonschlinkert/is-number>
*
* Copyright (c) 2014-present, Jon Schlinkert.
* Released under the MIT License.
*/
/*!
* is-windows <https://github.com/jonschlinkert/is-windows>
*
* Copyright © 2015-2018, Jon Schlinkert.
* Released under the MIT License.
*/
/*!
* to-regex-range <https://github.com/micromatch/to-regex-range>
*
* Copyright (c) 2015-present, Jon Schlinkert.
* Released under the MIT License.
*/
/**
@license
Copyright (c) 2015, Rebecca Turner
Permission to use, copy, modify, and/or distribute this software for any
purpose with or without fee is hereby granted, provided that the above
copyright notice and this permission notice appear in all copies.
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
PERFORMANCE OF THIS SOFTWARE.
*/
/**
@license
Copyright Joyent, Inc. and other Node contributors.
Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge, publish,
distribute, sublicense, and/or sell copies of the Software, and to permit
persons to whom the Software is furnished to do so, subject to the
following conditions:
The above copyright notice and this permission notice shall be included
in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
USE OR OTHER DEALINGS IN THE SOFTWARE.
*/
/**
@license
Copyright Node.js contributors. All rights reserved.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to
deal in the Software without restriction, including without limitation the
rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
sell copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
IN THE SOFTWARE.
*/
/**
@license
The MIT License (MIT)
Copyright (c) 2014 Blake Embrey ([email protected])
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
*/
| 0
|
hf_public_repos/tokenizers/bindings/node
|
hf_public_repos/tokenizers/bindings/node/.cargo/config.toml
|
[target.aarch64-unknown-linux-musl]
linker = "aarch64-linux-musl-gcc"
rustflags = ["-C", "target-feature=-crt-static"]
| 0
|
hf_public_repos/tokenizers/bindings/node/examples
|
hf_public_repos/tokenizers/bindings/node/examples/documentation/pipeline.test.ts
|
/* eslint-disable */
var globRequire = require;
describe("pipelineExample", () => {
// This is a hack to let us require using path similar to what the user has to use
function require(mod: string) {
if (mod.startsWith("tokenizers")) {
// let path = mod.slice("tokenizers".length);
return globRequire("../../");
} else {
return globRequire(mod);
}
}
let console = {
log: (..._args: any[]) => {}
};
it("shows pipeline parts", async () => {
// START reload_tokenizer
let { Tokenizer } = require("tokenizers");
let tokenizer = Tokenizer.fromFile("data/tokenizer-wiki.json");
// END reload_tokenizer
// START setup_normalizer
let { sequenceNormalizer, nfdNormalizer, stripAccentsNormalizer } = require("tokenizers");
let normalizer = sequenceNormalizer([nfdNormalizer(), stripAccentsNormalizer()]);
// END setup_normalizer
// START test_normalizer
let normalized = normalizer.normalizeString("Héllò hôw are ü?")
// "Hello how are u?"
// END test_normalizer
expect(normalized).toEqual("Hello how are u?");
// START replace_normalizer
tokenizer.setNormalizer(normalizer)
// END replace_normalizer
// START setup_pre_tokenizer
let { whitespacePreTokenizer } = require("tokenizers");
var preTokenizer = whitespacePreTokenizer();
var preTokenized = preTokenizer.preTokenizeString("Hello! How are you? I'm fine, thank you.");
// END setup_pre_tokenizer
expect(preTokenized).toEqual([
["Hello", [0, 5]],
["!", [5, 6]],
["How", [7, 10]],
["are", [11, 14]],
["you", [15, 18]],
["?", [18, 19]],
["I", [20, 21]],
["'", [21, 22]],
['m', [22, 23]],
["fine", [24, 28]],
[",", [28, 29]],
["thank", [30, 35]],
["you", [36, 39]],
[".", [39, 40]]
]);
// START combine_pre_tokenizer
let { sequencePreTokenizer, digitsPreTokenizer } = require("tokenizers");
var preTokenizer = sequencePreTokenizer([whitespacePreTokenizer(), digitsPreTokenizer(true)]);
var preTokenized = preTokenizer.preTokenizeString("Call 911!");
// END combine_pre_tokenizer
// START replace_pre_tokenizer
tokenizer.setPreTokenizer(preTokenizer)
// END replace_pre_tokenizer
// START setup_processor
let { templateProcessing } = require("tokenizers");
tokenizer.setPostProcessor(templateProcessing(
"[CLS] $A [SEP]",
"[CLS] $A [SEP] $B:1 [SEP]:1",
[["[CLS]", 1], ["[SEP]", 2]]
));
// END setup_processor
// START test_decoding
let output = await tokenizer.encode("Hello, y'all! How are you 😁 ?");
console.log(output.getIds());
// [1, 27253, 16, 93, 11, 5097, 5, 7961, 5112, 6218, 0, 35, 2]
let decoded = await tokenizer.decode([1, 27253, 16, 93, 11, 5097, 5, 7961, 5112, 6218, 0, 35, 2], true);
// "Hello , y ' all ! How are you ?"
// END test_decoding
expect(decoded).toEqual("Hello , y ' all ! How are you ?");
});
it.skip("trains the tokenizer", async () => {
// START bert_setup_tokenizer
let { Tokenizer } = require("tokenizers");
let { WordPiece } = require("tokenizers");
let bertTokenizer = new Tokenizer(WordPiece.init({}, { unkToken: "[UNK]" }));
// END bert_setup_tokenizer
// START bert_setup_normalizer
let { sequenceNormalizer, lowercaseNormalizer, nfdNormalizer, stripAccentsNormalizer }
= require("tokenizers");
bertTokenizer.setNormalizer(sequenceNormalizer([
nfdNormalizer(), lowercaseNormalizer(), stripAccentsNormalizer()
]))
// END bert_setup_normalizer
// START bert_setup_pre_tokenizer
let { whitespacePreTokenizer } = require("tokenizers");
bertTokenizer.setPreTokenizer(whitespacePreTokenizer());
// END bert_setup_pre_tokenizer
// START bert_setup_processor
let { templateProcessing } = require("tokenizers");
bertTokenizer.setPostProcessor(templateProcessing(
"[CLS] $A [SEP]",
"[CLS] $A [SEP] $B:1 [SEP]:1",
[["[CLS]", 1], ["[SEP]", 2]]
));
// END bert_setup_processor
// START bert_train_tokenizer
let { wordPieceTrainer } = require("tokenizers");
let trainer = wordPieceTrainer({
vocabSize: 30522,
specialTokens: ["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]"]
});
let files = ["test", "train", "valid"].map(split => `data/wikitext-103-raw/wiki.${split}.raw`);
bertTokenizer.train(files, trainer);
bertTokenizer.save("data/bert-wiki.json")
// END bert_train_tokenizer
});
it("shows a full bert example", async () => {
let { Tokenizer } = require("tokenizers");
let bertTokenizer = await Tokenizer.fromFile("data/bert-wiki.json")
// START bert_test_decoding
let output = await bertTokenizer.encode("Welcome to the 🤗 Tokenizers library.");
console.log(output.getTokens());
// ["[CLS]", "welcome", "to", "the", "[UNK]", "tok", "##eni", "##zer", "##s", "library", ".", "[SEP]"]
var decoded = await bertTokenizer.decode(output.getIds(), true);
// "welcome to the tok ##eni ##zer ##s library ."
// END bert_test_decoding
expect(decoded).toEqual("welcome to the tok ##eni ##zer ##s library .");
// START bert_proper_decoding
let { wordPieceDecoder } = require("tokenizers");
bertTokenizer.setDecoder(wordPieceDecoder());
var decoded = await bertTokenizer.decode(output.getIds(), true);
// "welcome to the tokenizers library."
// END bert_proper_decoding
expect(decoded).toEqual("welcome to the tokenizers library.");
});
});
| 0
|
hf_public_repos/tokenizers/bindings/node/examples
|
hf_public_repos/tokenizers/bindings/node/examples/documentation/quicktour.test.ts
|
/* eslint-disable */
var globRequire = require
console.log = (..._args: any[]) => {}
describe('quicktourExample', () => {
function require(mod: string) {
if (mod.startsWith('tokenizers')) {
return globRequire('../../')
} else {
return globRequire(mod)
}
}
it.skip('trains the tokenizer', async () => {
// START init_tokenizer
let { Tokenizer } = require('tokenizers')
let { BPE } = require('tokenizers')
let tokenizer = new Tokenizer(BPE.init({}, [], { unkToken: '[UNK]' }))
// END init_tokenizer
// START init_trainer
let { bpeTrainer } = require('tokenizers')
let trainer = bpeTrainer({
specialTokens: ['[UNK]', '[CLS]', '[SEP]', '[PAD]', '[MASK]'],
})
// END init_trainer
// START init_pretok
let { whitespacePreTokenizer } = require('tokenizers')
tokenizer.setPreTokenizer(whitespacePreTokenizer())
// END init_pretok
// START train
let files = ['test', 'train', 'valid'].map((split) => `data/wikitext-103-raw/wiki.${split}.raw`)
tokenizer.train(files, trainer)
// END train
// START save
tokenizer.save('data/tokenizer-wiki.json')
// END save
})
it('shows a quicktour example', async () => {
let { Tokenizer } = require('tokenizers')
// START reload_tokenizer
let tokenizer = Tokenizer.fromFile('data/tokenizer-wiki.json')
// END reload_tokenizer
// START encode
var output = await tokenizer.encode("Hello, y'all! How are you 😁 ?")
// END encode
// START print_tokens
console.log(output.getTokens())
// ["Hello", ",", "y", "'", "all", "!", "How", "are", "you", "[UNK]", "?"]
// END print_tokens
expect(output.getTokens()).toEqual(['Hello', ',', 'y', "'", 'all', '!', 'How', 'are', 'you', '[UNK]', '?'])
// START print_ids
console.log(output.getIds())
// [27253, 16, 93, 11, 5097, 5, 7961, 5112, 6218, 0, 35]
// END print_ids
expect(output.getIds()).toEqual([27253, 16, 93, 11, 5097, 5, 7961, 5112, 6218, 0, 35])
// START print_offsets
let offsets = output.getOffsets()
console.log(offsets[9])
// (26, 27)
// END print_offsets
expect(offsets[9]).toEqual([26, 27])
// START use_offsets
let { slice } = require('tokenizers')
let sentence = "Hello, y'all! How are you 😁 ?"
let [start, end] = offsets[9]
console.log(slice(sentence, start, end))
// "😁"
// END use_offsets
expect(slice(sentence, start, end)).toEqual('😁')
// START check_sep
console.log(tokenizer.tokenToId('[SEP]'))
// 2
// END check_sep
expect(tokenizer.tokenToId('[SEP]')).toEqual(2)
// START init_template_processing
let { templateProcessing } = require('tokenizers')
tokenizer.setPostProcessor(
templateProcessing('[CLS] $A [SEP]', '[CLS] $A [SEP] $B:1 [SEP]:1', [
['[CLS]', tokenizer.tokenToId('[CLS]')],
['[SEP]', tokenizer.tokenToId('[SEP]')],
]),
)
// END init_template_processing
// START print_special_tokens
var output = await tokenizer.encode("Hello, y'all! How are you 😁 ?")
console.log(output.getTokens())
// ["[CLS]", "Hello", ",", "y", "'", "all", "!", "How", "are", "you", "[UNK]", "?", "[SEP]"]
// END print_special_tokens
expect(output.getTokens()).toEqual([
'[CLS]',
'Hello',
',',
'y',
"'",
'all',
'!',
'How',
'are',
'you',
'[UNK]',
'?',
'[SEP]',
])
// START print_special_tokens_pair
var output = await tokenizer.encode("Hello, y'all!", 'How are you 😁 ?')
console.log(output.getTokens())
// ["[CLS]", "Hello", ",", "y", "'", "all", "!", "[SEP]", "How", "are", "you", "[UNK]", "?", "[SEP]"]
// END print_special_tokens_pair
expect(output.getTokens()).toEqual([
'[CLS]',
'Hello',
',',
'y',
"'",
'all',
'!',
'[SEP]',
'How',
'are',
'you',
'[UNK]',
'?',
'[SEP]',
])
// START print_type_ids
console.log(output.getTypeIds())
// [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1]
// END print_type_ids
expect(output.getTypeIds()).toEqual([0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1])
// START encode_batch
var output = await tokenizer.encodeBatch(["Hello, y'all!", 'How are you 😁 ?'])
// END encode_batch
// START encode_batch_pair
// var output = await tokenizer.encodeBatch(
// [["Hello, y'all!", "How are you 😁 ?"], ["Hello to you too!", "I'm fine, thank you!"]]
// );
// END encode_batch_pair
// START enable_padding
tokenizer.setPadding({ padId: 3, padToken: '[PAD]' })
// END enable_padding
// START print_batch_tokens
var output = await tokenizer.encodeBatch(["Hello, y'all!", 'How are you 😁 ?'])
console.log(output[1].getTokens())
// ["[CLS]", "How", "are", "you", "[UNK]", "?", "[SEP]", "[PAD]"]
// END print_batch_tokens
expect(output[1].getTokens()).toEqual(['[CLS]', 'How', 'are', 'you', '[UNK]', '?', '[SEP]', '[PAD]'])
// START print_attention_mask
console.log(output[1].getAttentionMask())
// [1, 1, 1, 1, 1, 1, 1, 0]
// END print_attention_mask
expect(output[1].getAttentionMask()).toEqual([1, 1, 1, 1, 1, 1, 1, 0])
})
})
| 0
|
hf_public_repos/tokenizers/bindings/node/lib
|
hf_public_repos/tokenizers/bindings/node/lib/bindings/utils.test.ts
|
// import { promisify } from 'util'
import { BPE, Tokenizer, mergeEncodings, slice } from '../../'
describe('slice', () => {
const text = 'My name is John 👋'
const sliceText = slice.bind({}, text)
it('returns the full text when no params', () => {
const sliced = sliceText()
expect(sliced).toEqual(text)
})
it('accepts `undefined` as second parameter', () => {
const original = sliceText(undefined)
expect(original).toEqual(text)
})
it('accepts `undefined` as third parameter', () => {
const original = sliceText(0, undefined)
expect(original).toEqual(text)
})
it('throws an error when `begin` is out of range', () => {
expect(() => sliceText(1000)).toThrow()
})
it('returns slice starting at the specified index', () => {
const original = sliceText(3)
expect(original).toEqual('name is John 👋')
})
it('throws an error when `end` is out of range', () => {
expect(() => sliceText(0, 1000)).toThrow()
})
it('returns the text between the two specified indexes', () => {
const original = sliceText(3, 7)
expect(original).toEqual('name')
})
describe('with only a negative `begin`', () => {
it('returns the original string counting from the end when in the range', () => {
const original = sliceText(-1)
expect(original).toEqual('👋')
})
it('throws an error when out of range', () => {
expect(() => sliceText(-1000)).toThrow()
})
})
describe('with a positive `begin` and a negative `end`', () => {
it('returns correct slice when resulting range is valid', () => {
const original = sliceText(3, -7)
expect(original).toEqual('name is')
})
it('throws an error when resulting `end` index is lower than `begin`', () => {
expect(() => sliceText(7, -12)).toThrow()
})
it('throws an error when `begin` is out of range', () => {
expect(() => sliceText(1000, -12)).toThrow()
})
it('throws an error when resulting `end` index is out of range', () => {
expect(() => sliceText(7, -1000)).toThrow()
})
})
describe('with a negative `begin` and a positive `end`', () => {
it('returns correct slice when resulting range is valid', () => {
const original = sliceText(-9, 10)
expect(original).toEqual('is')
})
it('throws an error when resulting `begin` index is upper than `end`', () => {
expect(() => sliceText(-3, 5)).toThrow()
})
it('throws an error when `end` is out of range', () => {
expect(() => sliceText(-5, 1000)).toThrow()
})
it('throws an error when resulting `begin` index is out of range', () => {
expect(() => sliceText(-1000, 10)).toThrow()
})
})
describe('with negatives `begin` and `end`', () => {
it('returns correct slice when resulting range is valid', () => {
const original = sliceText(-9, -7)
expect(original).toEqual('is')
})
it('throws an error when resulting `end` index is lower than `begin`', () => {
expect(() => sliceText(-5, -10)).toThrow()
})
it('throws an error when resulting `begin` index is out of range', () => {
expect(() => sliceText(-1000, -10)).toThrow()
})
it('throws an error when resulting `end` index is out of range', () => {
expect(() => sliceText(-10, -1000)).toThrow()
})
})
})
describe('mergeEncodings', () => {
const model = BPE.empty()
const tokenizer = new Tokenizer(model)
tokenizer.addTokens(['my', 'name', 'is', 'john'])
it('accepts `undefined` as a second parameter', () => {
const encoding = mergeEncodings([], undefined)
expect(encoding.constructor.name).toEqual('Encoding')
})
it('returns correct result with `growingOffsets` not provided', async () => {
const firstEncoding = await tokenizer.encode('my name is', null)
const secondEncoding = await tokenizer.encode('john', null)
const encoding = mergeEncodings([firstEncoding, secondEncoding])
expect(encoding.getTokens()).toEqual(['my', 'name', 'is', 'john'])
expect(encoding.getOffsets()).toEqual([
[0, 2],
[3, 7],
[8, 10],
[0, 4],
])
})
it('returns correct result when `growingOffsets` is `false`', async () => {
const firstEncoding = await tokenizer.encode('my name is', null)
const secondEncoding = await tokenizer.encode('john', null)
const encoding = mergeEncodings([firstEncoding, secondEncoding], false)
expect(encoding.getTokens()).toEqual(['my', 'name', 'is', 'john'])
expect(encoding.getOffsets()).toEqual([
[0, 2],
[3, 7],
[8, 10],
[0, 4],
])
})
it('returns correct result when `growingOffsets` is `true`', async () => {
const firstEncoding = await tokenizer.encode('my name is', null)
const secondEncoding = await tokenizer.encode('john', null)
const encoding = mergeEncodings([firstEncoding, secondEncoding], true)
expect(encoding.getTokens()).toEqual(['my', 'name', 'is', 'john'])
expect(encoding.getOffsets()).toEqual([
[0, 2],
[3, 7],
[8, 10],
[10, 14],
])
})
})
| 0
|
hf_public_repos/tokenizers/bindings/node/lib
|
hf_public_repos/tokenizers/bindings/node/lib/bindings/models.test.ts
|
/* eslint-disable @typescript-eslint/no-empty-function */
/* eslint-disable @typescript-eslint/no-explicit-any */
import { BPE, Unigram, WordPiece } from '../../'
const MOCKS_DIR = __dirname + '/__mocks__'
describe('WordPiece', () => {
describe('fromFile', () => {
it('throws if called with only one argument', () => {
expect(() => (WordPiece as any).fromFile()).toThrow(
'Failed to convert JavaScript value `Undefined` into rust type `String`',
)
})
it('throws if called with 2 arguments without a callback as third argument', () => {
expect(() => (WordPiece as any).fromFile({})).toThrow(
'Failed to convert JavaScript value `Object {}` into rust type `String`',
)
})
it('has its callback called with the loaded model', async () => {
const model = await WordPiece.fromFile(`${MOCKS_DIR}/vocab.txt`)
expect(model).toBeDefined()
})
})
})
describe('BPE', () => {
describe('fromFile', () => {
it('has its callback called with the loaded model', async () => {
const model = await BPE.fromFile(`${MOCKS_DIR}/vocab.json`, `${MOCKS_DIR}/merges.txt`)
expect(model).toBeDefined()
})
it('has its callback called with the loaded model', async () => {
const model = await BPE.fromFile(`${MOCKS_DIR}/vocab.json`, `${MOCKS_DIR}/merges.txt`, {})
expect(model).toBeDefined()
})
})
describe('When initialized from memory', () => {
it('returns the loaded Model', () => {
const bpe = BPE.init({ a: 0, b: 1, ab: 2 }, [['a', 'b']])
// expect(bpe.constructor.name).toEqual("Model");
expect(bpe.constructor.name).toEqual('BPE')
})
})
})
describe('Unigram', () => {
it('can be initialized from memory', () => {
const unigram = Unigram.init(
[
['<unk>', 0],
['Hello', -1],
['there', -2],
],
{
unkId: 0,
},
)
expect(unigram.constructor.name).toEqual('Unigram')
})
})
| 0
|
hf_public_repos/tokenizers/bindings/node/lib
|
hf_public_repos/tokenizers/bindings/node/lib/bindings/pre-tokenizers.test.ts
|
import {
byteLevelPreTokenizer,
metaspacePreTokenizer,
punctuationPreTokenizer,
sequencePreTokenizer,
splitPreTokenizer,
whitespaceSplitPreTokenizer,
} from '../../'
describe('byteLevelPreTokenizer', () => {
it('instantiates correctly', () => {
const processor = byteLevelPreTokenizer()
expect(processor.constructor.name).toEqual('PreTokenizer')
})
})
describe('metaspacePreTokenizer', () => {
it('instantiates correctly without any parameter', () => {
const processor = metaspacePreTokenizer()
expect(processor.constructor.name).toEqual('PreTokenizer')
})
it('accepts `undefined` as first parameter', () => {
expect(metaspacePreTokenizer(undefined)).toBeDefined()
})
it('accepts `undefined` as second parameter', () => {
expect(metaspacePreTokenizer('t', undefined)).toBeDefined()
})
it('can pre-tokenize strings', () => {
const pretok = metaspacePreTokenizer()
expect(pretok.preTokenizeString('Hello there friend')).toEqual([
['▁Hello', [0, 5]],
['▁there', [5, 11]],
['▁friend', [11, 18]],
])
})
})
describe('punctuationPreTokenizer', () => {
it('instantiates correctly without any parameter', () => {
const processor = punctuationPreTokenizer()
expect(processor.constructor.name).toEqual('PreTokenizer')
})
it('instantiates correctly with non-default split delimeter', () => {
const processor = punctuationPreTokenizer('removed')
expect(processor.constructor.name).toEqual('PreTokenizer')
})
})
describe('splitPreTokenizer', () => {
it('instantiates correctly with invert parameter', () => {
const processor = splitPreTokenizer(' ', 'mergedWithPrevious', false)
expect(processor.constructor.name).toEqual('PreTokenizer')
})
})
describe('sequencePreTokenizer', () => {
it('instantiates correctly', () => {
const punctuation = punctuationPreTokenizer()
const whitespace = whitespaceSplitPreTokenizer()
const sequence2 = sequencePreTokenizer([])
expect(sequence2.constructor.name).toEqual('PreTokenizer')
const sequence3 = sequencePreTokenizer([punctuation, whitespace])
expect(sequence3.constructor.name).toEqual('PreTokenizer')
})
})
| 0
|
hf_public_repos/tokenizers/bindings/node/lib
|
hf_public_repos/tokenizers/bindings/node/lib/bindings/encoding.test.ts
|
import {
PaddingDirection,
WordPiece,
punctuationPreTokenizer,
sequencePreTokenizer,
whitespacePreTokenizer,
Encoding,
EncodeOptions,
Tokenizer,
} from '../../'
import { InputSequence } from '../../types'
const MOCKS_DIR = __dirname + '/__mocks__'
describe('Can modify pretokenizers on the fly', () => {
let encoding: Encoding
let encode: (
sequence: InputSequence,
pair?: InputSequence | null,
options?: EncodeOptions | null,
) => Promise<Encoding>
let tokenizer: Tokenizer
beforeAll(async () => {
const model = await WordPiece.fromFile(`${MOCKS_DIR}/vocab.txt`, {
continuingSubwordPrefix: '##',
})
tokenizer = new Tokenizer(model)
encode = tokenizer.encode.bind(tokenizer)
})
it('Can change pre tokenizer', async () => {
const input = 'my name is john.!?'
tokenizer.setPreTokenizer(sequencePreTokenizer([whitespacePreTokenizer()]))
encoding = await encode(input, null)
expect(encoding.getIds()).toEqual([0, 1, 2, 3, 4, 8])
// Change pre tokenizer
tokenizer.setPreTokenizer(sequencePreTokenizer([whitespacePreTokenizer(), punctuationPreTokenizer()]))
encoding = await encode(input, null)
expect(encoding.getIds()).toEqual([0, 1, 2, 3, 4, 8, 8, 8])
})
})
describe('Encoding', () => {
const originalString = 'my name is john'
const originalPairString = 'what is yours?'
let encoding: Encoding
let encodingDual: Encoding
let encode: (
sequence: InputSequence,
pair?: InputSequence | null,
options?: EncodeOptions | null,
) => Promise<Encoding>
beforeAll(async () => {
const model = await WordPiece.fromFile(`${MOCKS_DIR}/vocab.txt`, {
continuingSubwordPrefix: '##',
})
const tokenizer = new Tokenizer(model)
tokenizer.setPreTokenizer(whitespacePreTokenizer())
encode = tokenizer.encode.bind(tokenizer)
})
beforeEach(async () => {
encoding = await encode(originalString, null)
encodingDual = await encode(originalString, originalPairString)
})
it('has a list of defined methods', () => {
expect(typeof encoding.wordToTokens).toBe('function')
expect(typeof encoding.wordToChars).toBe('function')
expect(typeof encoding.tokenToChars).toBe('function')
expect(typeof encoding.tokenToWord).toBe('function')
expect(typeof encoding.charToToken).toBe('function')
expect(typeof encoding.charToWord).toBe('function')
expect(typeof encoding.getAttentionMask).toBe('function')
expect(typeof encoding.getIds).toBe('function')
expect(typeof encoding.getLength).toBe('function')
expect(typeof encoding.getOffsets).toBe('function')
expect(typeof encoding.getOverflowing).toBe('function')
expect(typeof encoding.getSpecialTokensMask).toBe('function')
expect(typeof encoding.getTokens).toBe('function')
expect(typeof encoding.getTypeIds).toBe('function')
expect(typeof encoding.getWordIds).toBe('function')
expect(typeof encoding.getSequenceIds).toBe('function')
expect(typeof encoding.pad).toBe('function')
expect(typeof encoding.truncate).toBe('function')
})
describe('truncate', () => {
it('accepts `undefined` as second parameter', () => {
expect(encoding.truncate(10, undefined)).toBeUndefined()
})
it('should throw an Error on invalid direction', () => {
const t = () => encoding.truncate(10, 3, 'not_valid')
expect(t).toThrow(`not_valid is not a valid truncation direction`)
})
})
describe('getWordIds', () => {
it('returns the correct list of indexes', () => {
const indexes = encoding.getWordIds()
expect(indexes).toEqual([0, 1, 2, 3, 3])
})
})
describe('getSequenceIds', () => {
it('returns the correct list of indexes', () => {
expect(encoding.getSequenceIds()).toEqual([0, 0, 0, 0, 0])
expect(encodingDual.getSequenceIds()).toEqual([0, 0, 0, 0, 0, 1, 1, 1, 1])
})
})
describe('wordToTokens', () => {
it('returns the correct indexes', () => {
const indexes = encoding.wordToTokens(3)
expect(indexes).toEqual([3, 5])
})
it('returns the corrent indexes with pair sequences', () => {
expect(encodingDual.wordToTokens(3, 0)).toEqual([3, 5])
expect(encodingDual.wordToTokens(3, 1)).toEqual([8, 9])
})
it('returns undefined when out of range word', () => {
const index = encoding.wordToTokens(100)
expect(index).toBeNull()
})
})
describe('wordToChars', () => {
it('returns the correct offsets', () => {
const offsets = encoding.wordToChars(3)
expect(offsets).toEqual([11, 15])
})
it('returns the correct offsets with pair sequences', () => {
expect(encodingDual.wordToChars(3, 0)).toEqual([11, 15])
expect(encodingDual.wordToChars(3, 1)).toEqual([13, 14])
})
it('returns undefined when out of range word', () => {
const offsets = encoding.wordToChars(100)
expect(offsets).toBeNull()
})
})
describe('tokenToSequence', () => {
it('returns the correct value', () => {
expect(encodingDual.tokenToSequence(4)).toEqual(0)
expect(encodingDual.tokenToSequence(6)).toEqual(1)
})
})
describe('tokenToChars', () => {
it('returns the correct offsets', () => {
const offsets = encoding.tokenToChars(3)
expect(offsets).toEqual([11, 13])
})
it('returns the correct offsets with pair sequences', () => {
expect(encodingDual.tokenToChars(3)).toEqual([11, 13])
expect(encodingDual.tokenToChars(7)).toEqual([8, 13])
})
it('returns undefined when out of range token', () => {
const offsets = encoding.tokenToChars(100)
expect(offsets).toBeNull()
})
})
describe('tokenToWord', () => {
it('returns the correct index', () => {
const index = encoding.tokenToWord(3)
expect(index).toEqual(3)
})
it('returns the correct index with pair sequences', () => {
expect(encodingDual.tokenToWord(3)).toEqual(3)
expect(encodingDual.tokenToWord(7)).toEqual(2)
})
it('returns undefined when out of range token', () => {
const index = encoding.tokenToWord(100)
expect(index).toBeNull()
})
})
describe('charToToken', () => {
it('returns the correct index', () => {
const index = encoding.charToToken(3)
expect(index).toEqual(1)
})
it('returns the correct index with pair sequences', () => {
expect(encodingDual.charToToken(3, 0)).toEqual(1)
expect(encodingDual.charToToken(3, 1)).toEqual(5)
})
it('returns undefined when out of range char', () => {
const index = encoding.charToToken(100)
expect(index).toBeNull()
})
})
describe('charToWord', () => {
it('returns the correct index', () => {
const index = encoding.charToWord(3)
expect(index).toEqual(1)
})
it('returns the correct index with pair sequences', () => {
expect(encodingDual.charToWord(3, 0)).toEqual(1)
expect(encodingDual.charToWord(3, 1)).toEqual(0)
})
it('returns undefined when out of range char', () => {
const index = encoding.charToWord(100)
expect(index).toBeNull()
})
})
describe('pad', () => {
it('works correctly with only one parameter', () => {
encoding.pad(10)
expect(encoding.getTokens()).toHaveLength(10)
})
it('accepts `undefined` as second parameter', () => {
encoding.pad(10, undefined)
expect(encoding.getTokens()).toHaveLength(10)
})
it('accepts options as second parameter', () => {
encoding.pad(10, {
direction: PaddingDirection.Left,
padToken: '[PA]',
padTypeId: 10,
padId: 400,
})
const tokens = encoding.getTokens()
expect(tokens).toHaveLength(10)
expect(tokens[0]).toBe('[PA]')
expect(encoding.getTypeIds()[0]).toBe(10)
expect(encoding.getIds()[0]).toBe(400)
})
})
})
| 0
|
hf_public_repos/tokenizers/bindings/node/lib
|
hf_public_repos/tokenizers/bindings/node/lib/bindings/tokenizer.test.ts
|
/* eslint-disable @typescript-eslint/no-explicit-any */
/* eslint-disable @typescript-eslint/no-empty-function */
import { TruncationStrategy, BPE, Encoding, AddedToken, Tokenizer } from '../../'
// jest.mock('../../bindings/tokenizer');
// jest.mock('../../bindings/models', () => ({
// __esModule: true,
// Model: jest.fn()
// }));
// Or:
// jest.mock('../../bindings/models', () => {
// return require('../../bindings/__mocks__/models');
// });
// const TokenizerMock = mocked(Tokenizer);
describe('AddedToken', () => {
it('instantiates with only content', () => {
const addToken = new AddedToken('test', false)
expect(addToken.constructor.name).toEqual('AddedToken')
})
it('instantiates with empty options', () => {
const addToken = new AddedToken('test', false, {})
expect(addToken.constructor.name).toEqual('AddedToken')
})
it('instantiates with options', () => {
const addToken = new AddedToken('test', false, {
leftStrip: true,
rightStrip: true,
singleWord: true,
})
expect(addToken.constructor.name).toEqual('AddedToken')
})
describe('getContent', () => {
it('returns the string content of AddedToken', () => {
const addedToken = new AddedToken('test', false)
expect(addedToken.getContent()).toEqual('test')
})
})
})
describe('Tokenizer', () => {
it('has expected methods', () => {
const model = BPE.empty()
const tokenizer = new Tokenizer(model)
expect(typeof Tokenizer.fromFile).toBe('function')
expect(typeof Tokenizer.fromString).toBe('function')
// expect(typeof Tokenizer.fromPretrained).toBe('function')
expect(typeof tokenizer.addSpecialTokens).toBe('function')
expect(typeof tokenizer.addTokens).toBe('function')
expect(typeof tokenizer.decode).toBe('function')
expect(typeof tokenizer.decodeBatch).toBe('function')
expect(typeof tokenizer.disablePadding).toBe('function')
expect(typeof tokenizer.disableTruncation).toBe('function')
expect(typeof tokenizer.encode).toBe('function')
expect(typeof tokenizer.encodeBatch).toBe('function')
expect(typeof tokenizer.getDecoder).toBe('function')
expect(typeof tokenizer.getNormalizer).toBe('function')
expect(typeof tokenizer.getPostProcessor).toBe('function')
expect(typeof tokenizer.getPreTokenizer).toBe('function')
expect(typeof tokenizer.getVocab).toBe('function')
expect(typeof tokenizer.getVocabSize).toBe('function')
expect(typeof tokenizer.idToToken).toBe('function')
expect(typeof tokenizer.runningTasks).toBe('function')
expect(typeof tokenizer.save).toBe('function')
expect(typeof tokenizer.setDecoder).toBe('function')
expect(typeof tokenizer.setModel).toBe('function')
expect(typeof tokenizer.setNormalizer).toBe('function')
expect(typeof tokenizer.setPadding).toBe('function')
expect(typeof tokenizer.setPostProcessor).toBe('function')
expect(typeof tokenizer.setPreTokenizer).toBe('function')
expect(typeof tokenizer.setTruncation).toBe('function')
expect(typeof tokenizer.tokenToId).toBe('function')
expect(typeof tokenizer.toString).toBe('function')
expect(typeof tokenizer.train).toBe('function')
})
// it('can be instantiated from the hub', async () => {
// let tokenizer: Tokenizer
// let output: Encoding
// tokenizer = Tokenizer.fromPretrained('bert-base-cased')
// output = await tokenizer.encode('Hey there dear friend!', null, { addSpecialTokens: false })
// expect(output.getTokens()).toEqual(['Hey', 'there', 'dear', 'friend', '!'])
// tokenizer = Tokenizer.fromPretrained('anthony/tokenizers-test')
// output = await tokenizer.encode('Hey there dear friend!', null, { addSpecialTokens: false })
// expect(output.getTokens()).toEqual(['hey', 'there', 'dear', 'friend', '!'])
// tokenizer = Tokenizer.fromPretrained('anthony/tokenizers-test', {
// revision: 'gpt-2',
// })
// output = await tokenizer.encode('Hey there dear friend!', null, { addSpecialTokens: false })
// expect(output.getTokens()).toEqual(['Hey', 'Ġthere', 'Ġdear', 'Ġfriend', '!'])
// }, 10000)
describe('addTokens', () => {
it('accepts a list of string as new tokens when initial model is empty', () => {
const model = BPE.empty()
const tokenizer = new Tokenizer(model)
const nbAdd = tokenizer.addTokens(['my', 'name', 'is', 'john', 'pair'])
expect(nbAdd).toBe(5)
})
it('accepts a list of AddedToken as new tokens when initial model is empty', () => {
const model = BPE.empty()
const tokenizer = new Tokenizer(model)
const addedToken = new AddedToken('test', false)
const nbAdd = tokenizer.addAddedTokens([addedToken])
expect(nbAdd).toBe(1)
})
})
describe('encode', () => {
let tokenizer: Tokenizer
beforeEach(() => {
// Clear all instances and calls to constructor and all methods:
// TokenizerMock.mockClear();
const model = BPE.empty()
tokenizer = new Tokenizer(model)
tokenizer.addTokens(['my', 'name', 'is', 'john', 'pair'])
})
it('accepts a pair of strings as parameters', async () => {
const encoding = await tokenizer.encode('my name is john', 'pair')
expect(encoding).toBeDefined()
})
it('accepts a string with a null pair', async () => {
const encoding = await tokenizer.encode('my name is john', null)
expect(encoding).toBeDefined()
})
// TODO
// it("throws if we try to encode a pre-tokenized string without isPretokenized=true", async () => {
// await expect((encode as any)(["my", "name", "is", "john"], null)).rejects.toThrow(
// "encode with isPreTokenized=false expect string"
// );
// });
// it("accepts a pre-tokenized string as parameter", async () => {
// const encoding = await tokenizer.encode(["my", "name", "is", "john"], undefined, {
// isPretokenized: true,
// });
// expect(encoding).toBeDefined();
// });
// it("throws if we try to encodeBatch pre-tokenized strings without isPretokenized=true", async () => {
// await expect((encodeBatch as any)([["my", "name", "is", "john"]])).rejects.toThrow(
// "encodeBatch with isPretokenized=false expects input to be `EncodeInput[]` " +
// "with `EncodeInput = string | [string, string]`"
// );
// });
// it("accepts a pre-tokenized input in encodeBatch", async () => {
// const encoding = await tokenizer.encodeBatch([["my", "name", "is", "john"]], {
// isPretokenized: true,
// });
// expect(encoding).toBeDefined();
// });
it('Encodes correctly if called with only one argument', async () => {
const encoded = await tokenizer.encode('my name is john')
expect(encoded.getIds()).toEqual([0, 1, 2, 3])
})
it('returns an Encoding', async () => {
const encoding = await tokenizer.encode('my name is john', 'pair')
expect(encoding.getAttentionMask()).toEqual([1, 1, 1, 1, 1])
const ids = encoding.getIds()
expect(Array.isArray(ids)).toBe(true)
expect(ids).toHaveLength(5)
for (const id of ids) {
expect(typeof id).toBe('number')
}
expect(encoding.getOffsets()).toEqual([
[0, 2],
[3, 7],
[8, 10],
[11, 15],
[0, 4],
])
expect(encoding.getOverflowing()).toEqual([])
expect(encoding.getSpecialTokensMask()).toEqual([0, 0, 0, 0, 0])
expect(encoding.getTokens()).toEqual(['my', 'name', 'is', 'john', 'pair'])
expect(encoding.getTypeIds()).toEqual([0, 0, 0, 0, 1])
})
describe('when truncation is enabled', () => {
it('truncates with default if no truncation options provided', async () => {
tokenizer.setTruncation(2)
const singleEncoding = await tokenizer.encode('my name is john', null)
expect(singleEncoding.getTokens()).toEqual(['my', 'name'])
const pairEncoding = await tokenizer.encode('my name is john', 'pair')
expect(pairEncoding.getTokens()).toEqual(['my', 'pair'])
})
it('throws an error with strategy `only_second` and no pair is encoded', async () => {
tokenizer.setTruncation(2, { strategy: TruncationStrategy.OnlySecond })
await expect(tokenizer.encode('my name is john', null)).rejects.toThrow(
'Truncation error: Second sequence not provided',
)
})
})
describe('when padding is enabled', () => {
it('does not pad anything with default options', async () => {
tokenizer.setPadding()
const singleEncoding = await tokenizer.encode('my name', null)
expect(singleEncoding.getTokens()).toEqual(['my', 'name'])
const pairEncoding = await tokenizer.encode('my name', 'pair')
expect(pairEncoding.getTokens()).toEqual(['my', 'name', 'pair'])
})
it('pads to the right by default', async () => {
tokenizer.setPadding({ maxLength: 5 })
const singleEncoding = await tokenizer.encode('my name', null)
expect(singleEncoding.getTokens()).toEqual(['my', 'name', '[PAD]', '[PAD]', '[PAD]'])
const pairEncoding = await tokenizer.encode('my name', 'pair')
expect(pairEncoding.getTokens()).toEqual(['my', 'name', 'pair', '[PAD]', '[PAD]'])
})
it('pads to multiple of the given value', async () => {
tokenizer.setPadding({ padToMultipleOf: 8 })
const singleEncoding = await tokenizer.encode('my name', null)
expect(singleEncoding.getTokens()).toHaveLength(8)
const pairEncoding = await tokenizer.encode('my name', 'pair')
expect(pairEncoding.getTokens()).toHaveLength(8)
})
})
})
describe('decode', () => {
let tokenizer: Tokenizer
beforeEach(() => {
const model = BPE.empty()
tokenizer = new Tokenizer(model)
tokenizer.addTokens(['my', 'name', 'is', 'john', 'pair'])
})
it('has its callback called with the decoded string', async () => {
const decode = tokenizer.decode.bind(tokenizer)
expect(await decode([0, 1, 2, 3], true)).toEqual('my name is john')
})
})
describe('decodeBatch', () => {
let tokenizer: Tokenizer
beforeEach(() => {
const model = BPE.empty()
tokenizer = new Tokenizer(model)
tokenizer.addTokens(['my', 'name', 'is', 'john', 'pair'])
})
it('has its callback called with the decoded string', async () => {
const decodeBatch = tokenizer.decodeBatch.bind(tokenizer)
expect(await decodeBatch([[0, 1, 2, 3], [4]], true)).toEqual(['my name is john', 'pair'])
})
})
describe('getVocab', () => {
it('accepts `undefined` as parameter', () => {
const model = BPE.empty()
const tokenizer = new Tokenizer(model)
expect(tokenizer.getVocab(undefined)).toBeDefined()
})
it('returns the vocabulary', () => {
const model = BPE.empty()
const tokenizer = new Tokenizer(model)
tokenizer.addTokens(['my', 'name', 'is', 'john'])
expect(tokenizer.getVocab(true)).toEqual({
my: 0,
name: 1,
is: 2,
john: 3,
})
})
})
describe('getVocabSize', () => {
it('accepts `undefined` as parameter', () => {
const model = BPE.empty()
const tokenizer = new Tokenizer(model)
expect(tokenizer.getVocabSize(undefined)).toBeDefined()
})
})
describe('setTruncation', () => {
it('returns the full truncation configuration', () => {
const model = BPE.empty()
const tokenizer = new Tokenizer(model)
tokenizer.setTruncation(2)
// TODO Return type is weird
// const expectedConfig: TruncationOptions = {
// maxLength: 2,
// strategy: TruncationStrategy.LongestFirst,
// stride: 0,
// direction: TruncationDirection.Right,
// };
// expect(truncation).toEqual(expectedConfig);
})
})
describe('setPadding', () => {
it('returns the full padding params', () => {
const model = BPE.empty()
const tokenizer = new Tokenizer(model)
tokenizer.setPadding()
// TODO Return type is weird
// const expectedConfig: PaddingOptions = {
// direction: PaddingDirection.Right,
// padId: 0,
// padToken: "[PAD]",
// padTypeId: 0,
// };
// expect(padding).toEqual(expectedConfig);
})
})
describe('postProcess', () => {
let tokenizer: Tokenizer
let firstEncoding: Encoding
let secondEncoding: Encoding
beforeAll(() => {
const model = BPE.empty()
tokenizer = new Tokenizer(model)
tokenizer.addTokens(['my', 'name', 'is', 'john', 'pair'])
})
beforeEach(async () => {
firstEncoding = await tokenizer.encode('my name is john', null)
secondEncoding = await tokenizer.encode('pair', null)
tokenizer.setTruncation(2)
tokenizer.setPadding({ maxLength: 5 })
})
it('returns correctly with a single Encoding param', () => {
const encoding = tokenizer.postProcess(firstEncoding)
expect(encoding.getTokens()).toEqual(['my', 'name', '[PAD]', '[PAD]', '[PAD]'])
})
it('returns correctly with `undefined` as second and third parameters', () => {
const encoding = tokenizer.postProcess(firstEncoding, undefined, undefined)
expect(encoding.getTokens()).toEqual(['my', 'name', '[PAD]', '[PAD]', '[PAD]'])
})
it('returns correctly with 2 encodings', () => {
const encoding = tokenizer.postProcess(firstEncoding, secondEncoding)
expect(encoding.getTokens()).toEqual(['my', 'pair', '[PAD]', '[PAD]', '[PAD]'])
})
})
})
| 0
|
hf_public_repos/tokenizers/bindings/node/lib
|
hf_public_repos/tokenizers/bindings/node/lib/bindings/decoders.test.ts
|
import {
bpeDecoder,
byteFallbackDecoder,
ctcDecoder,
fuseDecoder,
metaspaceDecoder,
replaceDecoder,
sequenceDecoder,
stripDecoder,
wordPieceDecoder,
} from '../../'
describe('wordPieceDecoder', () => {
it('accepts `undefined` as first parameter', () => {
expect(wordPieceDecoder(undefined)).toBeDefined()
})
it('accepts `undefined` as second parameter', () => {
expect(wordPieceDecoder('test', undefined)).toBeDefined()
})
it('can decode arrays of strings', () => {
expect(wordPieceDecoder().decode(['Hel', '##lo', 'there', 'my', 'fr', '##iend'])).toEqual('Hello there my friend')
})
})
describe('byteFallbackDecoder', () => {
it('accepts `undefined` as first parameter', () => {
expect(byteFallbackDecoder()).toBeDefined()
})
it('can decode arrays of strings', () => {
expect(byteFallbackDecoder().decode(['Hel', 'lo'])).toEqual('Hello')
expect(byteFallbackDecoder().decode(['<0x61>'])).toEqual('a')
expect(byteFallbackDecoder().decode(['<0x61>'])).toEqual('a')
expect(byteFallbackDecoder().decode(['My', ' na', 'me'])).toEqual('My name')
expect(byteFallbackDecoder().decode(['<0x61>'])).toEqual('a')
expect(byteFallbackDecoder().decode(['<0xE5>'])).toEqual('�')
expect(byteFallbackDecoder().decode(['<0xE5>', '<0x8f>'])).toEqual('��')
expect(byteFallbackDecoder().decode(['<0xE5>', '<0x8f>', '<0xab>'])).toEqual('叫')
expect(byteFallbackDecoder().decode(['<0xE5>', '<0x8f>', 'a'])).toEqual('��a')
expect(byteFallbackDecoder().decode(['<0xE5>', '<0x8f>', '<0xab>', 'a'])).toEqual('叫a')
})
})
describe('replaceDecoder', () => {
it('can decode arrays of strings', () => {
expect(replaceDecoder('_', ' ').decode(['Hello', '_Hello'])).toEqual('Hello Hello')
})
})
describe('fuseDecoder', () => {
it('accepts `undefined` as first parameter', () => {
expect(fuseDecoder()).toBeDefined()
})
it('can decode arrays of strings', () => {
expect(fuseDecoder().decode(['Hel', 'lo'])).toEqual('Hello')
})
})
describe('stripDecoder', () => {
it('accepts `undefined` as first parameter', () => {
expect(stripDecoder('_', 0, 0)).toBeDefined()
})
it('can decode arrays of strings', () => {
expect(stripDecoder('_', 1, 0).decode(['_Hel', 'lo', '__there'])).toEqual('Hello_there')
})
})
describe('metaspaceDecoder', () => {
it('accepts `undefined` as first parameter', () => {
expect(metaspaceDecoder(undefined)).toBeDefined()
})
it('accepts `undefined` as second parameter', () => {
expect(metaspaceDecoder('t', undefined)).toBeDefined()
})
it('works', () => {
expect(metaspaceDecoder().decode(['▁Hello'])).toEqual('Hello')
})
})
describe('bpeDecoder', () => {
it('accepts `undefined` as parameter', () => {
expect(bpeDecoder(undefined)).toBeDefined()
})
})
describe('ctcDecoder', () => {
it('accepts `undefined` as parameter', () => {
expect(ctcDecoder(undefined)).toBeDefined()
})
it('encodes correctly', () => {
expect(ctcDecoder().decode(['<pad>', 'h', 'h', 'e', 'e', 'l', 'l', '<pad>', 'l', 'l', 'o'])).toEqual('hello')
})
})
describe('sequenceDecoder', () => {
it('accepts `empty list` as parameter', () => {
expect(sequenceDecoder([])).toBeDefined()
})
it('encodes correctly', () => {
expect(
sequenceDecoder([ctcDecoder(), metaspaceDecoder()]).decode(['▁', '▁', 'H', 'H', 'i', 'i', '▁', 'y', 'o', 'u']),
).toEqual('Hi you')
})
})
| 0
|
hf_public_repos/tokenizers/bindings/node/lib
|
hf_public_repos/tokenizers/bindings/node/lib/bindings/normalizers.test.ts
|
import { prependNormalizer, stripAccentsNormalizer, stripNormalizer } from '../../'
describe('stripNormalizer', () => {
it('instantiates with no parameters', () => {
const normalizer = stripNormalizer()
expect(normalizer.constructor.name).toEqual('Normalizer')
})
it('accepts `undefined` as first parameter', () => {
expect(stripNormalizer(undefined)).toBeDefined()
})
it('accepts `undefined` as second parameter', () => {
expect(stripNormalizer(false, undefined)).toBeDefined()
})
it('instantiates with one parameter', () => {
const normalizer = stripNormalizer(false)
expect(normalizer.constructor.name).toEqual('Normalizer')
})
it('instantiates with two parameters', () => {
const normalizer = stripNormalizer(false, true)
expect(normalizer.constructor.name).toEqual('Normalizer')
})
it('prepend instantiates with one parameter', () => {
const normalizer = prependNormalizer('_')
expect(normalizer.constructor.name).toEqual('Normalizer')
expect(normalizer.normalizeString('Hello')).toEqual('_Hello')
})
it('can normalize strings', () => {
const normalizer = stripNormalizer()
expect(normalizer.normalizeString(' Hello there ')).toEqual('Hello there')
})
})
describe('stripAccentsNormalizer', () => {
it('initialize', () => {
const normalizer = stripAccentsNormalizer()
expect(normalizer.constructor.name).toEqual('Normalizer')
})
})
| 0
|
hf_public_repos/tokenizers/bindings/node/lib
|
hf_public_repos/tokenizers/bindings/node/lib/bindings/post-processors.test.ts
|
/* eslint-disable @typescript-eslint/no-explicit-any */
import { bertProcessing, byteLevelProcessing, robertaProcessing, sequenceProcessing, templateProcessing } from '../../'
describe('bertProcessing', () => {
it('instantiates correctly with only two parameters', () => {
const processor = bertProcessing(['sep', 1], ['cls', 2])
expect(processor.constructor.name).toEqual('Processor')
})
it('throws if only one argument is provided', () => {
expect(() => (bertProcessing as any)(['sep', 1])).toThrow('Given napi value is not an array')
})
it('throws if arguments are malformed', () => {
expect(() => (bertProcessing as any)(['sep', '1'], ['cls', '2'])).toThrow(
'Failed to convert napi value String into rust type `u32`',
)
expect(() => (bertProcessing as any)(['sep'], ['cls'])).toThrow('Array length < 2')
})
})
describe('byteLevelProcessing', () => {
it('instantiates correctly without any parameter', () => {
const processor = byteLevelProcessing()
expect(processor.constructor.name).toEqual('Processor')
})
it('accepts `undefined` as first parameter', () => {
expect(byteLevelProcessing(undefined)).toBeDefined()
})
it('accepts `boolean` as first parameter', () => {
expect(byteLevelProcessing(true)).toBeDefined()
})
})
describe('robertaProcessing', () => {
it('instantiates correctly with only two parameters', () => {
const processor = robertaProcessing(['sep', 1], ['cls', 2])
expect(processor.constructor.name).toEqual('Processor')
})
it('accepts `undefined` as third and fourth parameters', () => {
expect(robertaProcessing(['sep', 1], ['cls', 2], undefined, undefined)).toBeDefined()
})
it('accepts `boolean` as third and fourth parameter', () => {
expect(robertaProcessing(['sep', 1], ['cls', 2], true, true)).toBeDefined()
})
})
describe('templateProcessing', () => {
it('instantiates correctly with only a single template', () => {
const processor = templateProcessing('$A $A')
expect(processor.constructor.name).toEqual('Processor')
})
it('throws if special tokens are missing', () => {
expect(() => templateProcessing('[CLS] $A [SEP]')).toThrow('Missing SpecialToken(s) with id(s)')
})
it('instantiates correctly with both templates', () => {
const processor = templateProcessing('[CLS] $A [SEP]', '[CLS] $A [SEP] $B:1 [SEP]:1', [
['[CLS]', 1],
['[SEP]', 2],
])
expect(processor.constructor.name).toEqual('Processor')
})
})
describe('sequenceProcessing', () => {
it('accepts `PostProcessor[]` as first parameter', () => {
const template = templateProcessing('[CLS] $A [SEP]', '[CLS] $A [SEP] $B:1 [SEP]:1', [
['[CLS]', 1],
['[SEP]', 2],
])
const bytelevel = byteLevelProcessing(true)
expect(sequenceProcessing([bytelevel, template])).toBeDefined()
})
})
| 0
|
hf_public_repos/tokenizers/bindings/node/lib/bindings
|
hf_public_repos/tokenizers/bindings/node/lib/bindings/__mocks__/vocab.txt
|
my
name
is
jo
##hn
what
yours
pair
[UNK]
| 0
|
hf_public_repos/tokenizers/bindings/node/lib/bindings
|
hf_public_repos/tokenizers/bindings/node/lib/bindings/__mocks__/vocab.json
|
{}
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/win32-arm64-msvc/README.md
|
# `tokenizers-win32-arm64-msvc`
This is the **aarch64-pc-windows-msvc** binary for `tokenizers`
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/win32-arm64-msvc/package.json
|
{
"name": "tokenizers-win32-arm64-msvc",
"version": "0.13.4-rc1",
"os": [
"win32"
],
"cpu": [
"arm64"
],
"main": "tokenizers.win32-arm64-msvc.node",
"files": [
"tokenizers.win32-arm64-msvc.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
"N-API",
"Rust",
"node-addon",
"node-addon-api"
],
"license": "MIT",
"engines": {
"node": ">= 10"
},
"publishConfig": {
"registry": "https://registry.npmjs.org/",
"access": "public"
},
"repository": "tokenizers"
}
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/linux-arm-gnueabihf/README.md
|
# `tokenizers-linux-arm-gnueabihf`
This is the **armv7-unknown-linux-gnueabihf** binary for `tokenizers`
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/linux-arm-gnueabihf/package.json
|
{
"name": "tokenizers-linux-arm-gnueabihf",
"version": "0.13.4-rc1",
"os": [
"linux"
],
"cpu": [
"arm"
],
"main": "tokenizers.linux-arm-gnueabihf.node",
"files": [
"tokenizers.linux-arm-gnueabihf.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
"N-API",
"Rust",
"node-addon",
"node-addon-api"
],
"license": "MIT",
"engines": {
"node": ">= 10"
},
"publishConfig": {
"registry": "https://registry.npmjs.org/",
"access": "public"
},
"repository": "tokenizers"
}
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/darwin-x64/README.md
|
# `tokenizers-darwin-x64`
This is the **x86_64-apple-darwin** binary for `tokenizers`
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/darwin-x64/package.json
|
{
"name": "tokenizers-darwin-x64",
"version": "0.13.4-rc1",
"os": [
"darwin"
],
"cpu": [
"x64"
],
"main": "tokenizers.darwin-x64.node",
"files": [
"tokenizers.darwin-x64.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
"N-API",
"Rust",
"node-addon",
"node-addon-api"
],
"license": "MIT",
"engines": {
"node": ">= 10"
},
"publishConfig": {
"registry": "https://registry.npmjs.org/",
"access": "public"
},
"repository": "tokenizers"
}
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/linux-arm64-musl/README.md
|
# `tokenizers-linux-arm64-musl`
This is the **aarch64-unknown-linux-musl** binary for `tokenizers`
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/linux-arm64-musl/package.json
|
{
"name": "tokenizers-linux-arm64-musl",
"version": "0.13.4-rc1",
"os": [
"linux"
],
"cpu": [
"arm64"
],
"main": "tokenizers.linux-arm64-musl.node",
"files": [
"tokenizers.linux-arm64-musl.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
"N-API",
"Rust",
"node-addon",
"node-addon-api"
],
"license": "MIT",
"engines": {
"node": ">= 10"
},
"publishConfig": {
"registry": "https://registry.npmjs.org/",
"access": "public"
},
"repository": "tokenizers",
"libc": [
"musl"
]
}
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/linux-x64-gnu/README.md
|
# `tokenizers-linux-x64-gnu`
This is the **x86_64-unknown-linux-gnu** binary for `tokenizers`
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/linux-x64-gnu/package.json
|
{
"name": "tokenizers-linux-x64-gnu",
"version": "0.13.4-rc1",
"os": [
"linux"
],
"cpu": [
"x64"
],
"main": "tokenizers.linux-x64-gnu.node",
"files": [
"tokenizers.linux-x64-gnu.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
"N-API",
"Rust",
"node-addon",
"node-addon-api"
],
"license": "MIT",
"engines": {
"node": ">= 10"
},
"publishConfig": {
"registry": "https://registry.npmjs.org/",
"access": "public"
},
"repository": "tokenizers",
"libc": [
"glibc"
]
}
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/android-arm-eabi/README.md
|
# `tokenizers-android-arm-eabi`
This is the **armv7-linux-androideabi** binary for `tokenizers`
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/android-arm-eabi/package.json
|
{
"name": "tokenizers-android-arm-eabi",
"version": "0.13.4-rc1",
"os": [
"android"
],
"cpu": [
"arm"
],
"main": "tokenizers.android-arm-eabi.node",
"files": [
"tokenizers.android-arm-eabi.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
"N-API",
"Rust",
"node-addon",
"node-addon-api"
],
"license": "MIT",
"engines": {
"node": ">= 10"
},
"publishConfig": {
"registry": "https://registry.npmjs.org/",
"access": "public"
},
"repository": "tokenizers"
}
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/android-arm64/README.md
|
# `tokenizers-android-arm64`
This is the **aarch64-linux-android** binary for `tokenizers`
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/android-arm64/package.json
|
{
"name": "tokenizers-android-arm64",
"version": "0.13.4-rc1",
"os": [
"android"
],
"cpu": [
"arm64"
],
"main": "tokenizers.android-arm64.node",
"files": [
"tokenizers.android-arm64.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
"N-API",
"Rust",
"node-addon",
"node-addon-api"
],
"license": "MIT",
"engines": {
"node": ">= 10"
},
"publishConfig": {
"registry": "https://registry.npmjs.org/",
"access": "public"
},
"repository": "tokenizers"
}
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/win32-ia32-msvc/README.md
|
# `tokenizers-win32-ia32-msvc`
This is the **i686-pc-windows-msvc** binary for `tokenizers`
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/win32-ia32-msvc/package.json
|
{
"name": "tokenizers-win32-ia32-msvc",
"version": "0.13.4-rc1",
"os": [
"win32"
],
"cpu": [
"ia32"
],
"main": "tokenizers.win32-ia32-msvc.node",
"files": [
"tokenizers.win32-ia32-msvc.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
"N-API",
"Rust",
"node-addon",
"node-addon-api"
],
"license": "MIT",
"engines": {
"node": ">= 10"
},
"publishConfig": {
"registry": "https://registry.npmjs.org/",
"access": "public"
},
"repository": "tokenizers"
}
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/freebsd-x64/README.md
|
# `tokenizers-freebsd-x64`
This is the **x86_64-unknown-freebsd** binary for `tokenizers`
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/freebsd-x64/package.json
|
{
"name": "tokenizers-freebsd-x64",
"version": "0.13.4-rc1",
"os": [
"freebsd"
],
"cpu": [
"x64"
],
"main": "tokenizers.freebsd-x64.node",
"files": [
"tokenizers.freebsd-x64.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
"N-API",
"Rust",
"node-addon",
"node-addon-api"
],
"license": "MIT",
"engines": {
"node": ">= 10"
},
"publishConfig": {
"registry": "https://registry.npmjs.org/",
"access": "public"
},
"repository": "tokenizers"
}
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/linux-x64-musl/README.md
|
# `tokenizers-linux-x64-musl`
This is the **x86_64-unknown-linux-musl** binary for `tokenizers`
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/linux-x64-musl/package.json
|
{
"name": "tokenizers-linux-x64-musl",
"version": "0.13.4-rc1",
"os": [
"linux"
],
"cpu": [
"x64"
],
"main": "tokenizers.linux-x64-musl.node",
"files": [
"tokenizers.linux-x64-musl.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
"N-API",
"Rust",
"node-addon",
"node-addon-api"
],
"license": "MIT",
"engines": {
"node": ">= 10"
},
"publishConfig": {
"registry": "https://registry.npmjs.org/",
"access": "public"
},
"repository": "tokenizers",
"libc": [
"musl"
]
}
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/darwin-arm64/README.md
|
# `tokenizers-darwin-arm64`
This is the **aarch64-apple-darwin** binary for `tokenizers`
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/darwin-arm64/package.json
|
{
"name": "tokenizers-darwin-arm64",
"version": "0.13.4-rc1",
"os": [
"darwin"
],
"cpu": [
"arm64"
],
"main": "tokenizers.darwin-arm64.node",
"files": [
"tokenizers.darwin-arm64.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
"N-API",
"Rust",
"node-addon",
"node-addon-api"
],
"license": "MIT",
"engines": {
"node": ">= 10"
},
"publishConfig": {
"registry": "https://registry.npmjs.org/",
"access": "public"
},
"repository": "tokenizers"
}
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/linux-arm64-gnu/README.md
|
# `tokenizers-linux-arm64-gnu`
This is the **aarch64-unknown-linux-gnu** binary for `tokenizers`
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/linux-arm64-gnu/package.json
|
{
"name": "tokenizers-linux-arm64-gnu",
"version": "0.13.4-rc1",
"os": [
"linux"
],
"cpu": [
"arm64"
],
"main": "tokenizers.linux-arm64-gnu.node",
"files": [
"tokenizers.linux-arm64-gnu.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
"N-API",
"Rust",
"node-addon",
"node-addon-api"
],
"license": "MIT",
"engines": {
"node": ">= 10"
},
"publishConfig": {
"registry": "https://registry.npmjs.org/",
"access": "public"
},
"repository": "tokenizers",
"libc": [
"glibc"
]
}
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/win32-x64-msvc/README.md
|
# `tokenizers-win32-x64-msvc`
This is the **x86_64-pc-windows-msvc** binary for `tokenizers`
| 0
|
hf_public_repos/tokenizers/bindings/node/npm
|
hf_public_repos/tokenizers/bindings/node/npm/win32-x64-msvc/package.json
|
{
"name": "tokenizers-win32-x64-msvc",
"version": "0.13.4-rc1",
"os": [
"win32"
],
"cpu": [
"x64"
],
"main": "tokenizers.win32-x64-msvc.node",
"files": [
"tokenizers.win32-x64-msvc.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
"N-API",
"Rust",
"node-addon",
"node-addon-api"
],
"license": "MIT",
"engines": {
"node": ">= 10"
},
"publishConfig": {
"registry": "https://registry.npmjs.org/",
"access": "public"
},
"repository": "tokenizers"
}
| 0
|
hf_public_repos/tokenizers/bindings/node
|
hf_public_repos/tokenizers/bindings/node/src/normalizers.rs
|
use crate::arc_rwlock_serde;
use napi::bindgen_prelude::*;
use napi_derive::napi;
use serde::{Deserialize, Serialize};
use std::sync::{Arc, RwLock};
use tk::normalizers::NormalizerWrapper;
use tk::NormalizedString;
use tokenizers as tk;
/// Normalizer
#[derive(Debug, Clone, Serialize, Deserialize)]
#[napi]
pub struct Normalizer {
#[serde(flatten, with = "arc_rwlock_serde")]
normalizer: Option<Arc<RwLock<NormalizerWrapper>>>,
}
#[napi]
impl Normalizer {
#[napi]
pub fn normalize_string(&self, sequence: String) -> Result<String> {
use tk::Normalizer;
let mut normalized = NormalizedString::from(sequence);
self
.normalize(&mut normalized)
.map_err(|e| Error::from_reason(format!("{}", e)))?;
Ok(normalized.get().to_string())
}
}
impl tk::Normalizer for Normalizer {
fn normalize(&self, normalized: &mut NormalizedString) -> tk::Result<()> {
self
.normalizer
.as_ref()
.ok_or("Uninitialized Normalizer")?
.read()
.unwrap()
.normalize(normalized)?;
Ok(())
}
}
#[napi]
pub fn prepend_normalizer(prepend: String) -> Normalizer {
Normalizer {
normalizer: Some(Arc::new(RwLock::new(
tk::normalizers::prepend::Prepend::new(prepend).into(),
))),
}
}
#[napi]
pub fn strip_accents_normalizer() -> Normalizer {
Normalizer {
normalizer: Some(Arc::new(RwLock::new(
tk::normalizers::strip::StripAccents.into(),
))),
}
}
#[napi(object)]
#[derive(Default)]
pub struct BertNormalizerOptions {
pub clean_text: Option<bool>,
pub handle_chinese_chars: Option<bool>,
pub strip_accents: Option<bool>,
pub lowercase: Option<bool>,
}
/// bert_normalizer(options?: {
/// cleanText?: bool = true,
/// handleChineseChars?: bool = true,
/// stripAccents?: bool = true,
/// lowercase?: bool = true
/// })
#[napi]
pub fn bert_normalizer(options: Option<BertNormalizerOptions>) -> Normalizer {
let options = options.unwrap_or_default();
Normalizer {
normalizer: Some(Arc::new(RwLock::new(
tk::normalizers::bert::BertNormalizer::new(
options.clean_text.unwrap_or(true),
options.handle_chinese_chars.unwrap_or(true),
options.strip_accents,
options.lowercase.unwrap_or(true),
)
.into(),
))),
}
}
#[napi]
pub fn nfd_normalizer() -> Normalizer {
Normalizer {
normalizer: Some(Arc::new(RwLock::new(tk::normalizers::unicode::NFD.into()))),
}
}
#[napi]
pub fn nfkd_normalizer() -> Normalizer {
Normalizer {
normalizer: Some(Arc::new(RwLock::new(tk::normalizers::unicode::NFKD.into()))),
}
}
#[napi]
pub fn nfc_normalizer() -> Normalizer {
Normalizer {
normalizer: Some(Arc::new(RwLock::new(tk::normalizers::unicode::NFC.into()))),
}
}
#[napi]
pub fn nfkc_normalizer() -> Normalizer {
Normalizer {
normalizer: Some(Arc::new(RwLock::new(tk::normalizers::unicode::NFKC.into()))),
}
}
// /// strip(left?: boolean, right?: boolean)
#[napi]
pub fn strip_normalizer(left: Option<bool>, right: Option<bool>) -> Normalizer {
let left = left.unwrap_or(true);
let right = right.unwrap_or(true);
Normalizer {
normalizer: Some(Arc::new(RwLock::new(
tk::normalizers::strip::Strip::new(left, right).into(),
))),
}
}
#[napi]
pub fn sequence_normalizer(normalizers: Vec<&Normalizer>) -> Normalizer {
let mut sequence: Vec<NormalizerWrapper> = Vec::with_capacity(normalizers.len());
normalizers.into_iter().for_each(|normalizer| {
if let Some(normalizer) = &normalizer.normalizer {
sequence.push((**normalizer).read().unwrap().clone())
}
});
Normalizer {
normalizer: Some(Arc::new(RwLock::new(NormalizerWrapper::Sequence(
tk::normalizers::Sequence::new(sequence),
)))),
}
}
#[napi]
pub fn lowercase() -> Normalizer {
Normalizer {
normalizer: Some(Arc::new(RwLock::new(
tk::normalizers::utils::Lowercase.into(),
))),
}
}
#[napi]
pub fn replace(pattern: String, content: String) -> Result<Normalizer> {
Ok(Normalizer {
normalizer: Some(Arc::new(RwLock::new(
tk::normalizers::replace::Replace::new(pattern, content)
.map_err(|e| Error::from_reason(e.to_string()))?
.into(),
))),
})
}
#[napi]
pub fn nmt() -> Normalizer {
Normalizer {
normalizer: Some(Arc::new(RwLock::new(tk::normalizers::unicode::Nmt.into()))),
}
}
#[napi]
pub fn precompiled(bytes: Vec<u8>) -> Result<Normalizer> {
Ok(Normalizer {
normalizer: Some(Arc::new(RwLock::new(
tk::normalizers::precompiled::Precompiled::from(&bytes)
.map_err(|e| Error::from_reason(e.to_string()))?
.into(),
))),
})
}
| 0
|
hf_public_repos/tokenizers/bindings/node
|
hf_public_repos/tokenizers/bindings/node/src/encoding.rs
|
use crate::tokenizer::PaddingOptions;
use napi::bindgen_prelude::*;
use napi_derive::napi;
use tokenizers::utils::truncation::TruncationDirection;
use tokenizers::Encoding;
#[napi(js_name = "Encoding")]
#[derive(Clone, Default)]
pub struct JsEncoding {
pub(crate) encoding: Option<Encoding>,
}
impl From<Encoding> for JsEncoding {
fn from(value: Encoding) -> Self {
Self {
encoding: Some(value),
}
}
}
impl TryFrom<JsEncoding> for Encoding {
type Error = Error;
fn try_from(value: JsEncoding) -> Result<Self> {
value
.encoding
.ok_or(Error::from_reason("Uninitialized encoding".to_string()))
}
}
#[napi(string_enum, js_name = "TruncationDirection")]
pub enum JsTruncationDirection {
Left,
Right,
}
impl From<JsTruncationDirection> for TruncationDirection {
fn from(value: JsTruncationDirection) -> Self {
match value {
JsTruncationDirection::Left => TruncationDirection::Left,
JsTruncationDirection::Right => TruncationDirection::Right,
}
}
}
impl TryFrom<String> for JsTruncationDirection {
type Error = Error;
fn try_from(value: String) -> Result<JsTruncationDirection> {
match value.as_str() {
"left" => Ok(JsTruncationDirection::Left),
"right" => Ok(JsTruncationDirection::Right),
s => Err(Error::from_reason(format!(
"{s:?} is not a valid direction"
))),
}
}
}
#[napi(string_enum, js_name = "TruncationStrategy")]
pub enum JsTruncationStrategy {
LongestFirst,
OnlyFirst,
OnlySecond,
}
impl From<JsTruncationStrategy> for tokenizers::TruncationStrategy {
fn from(value: JsTruncationStrategy) -> Self {
match value {
JsTruncationStrategy::LongestFirst => tokenizers::TruncationStrategy::LongestFirst,
JsTruncationStrategy::OnlyFirst => tokenizers::TruncationStrategy::OnlyFirst,
JsTruncationStrategy::OnlySecond => tokenizers::TruncationStrategy::OnlySecond,
}
}
}
#[napi]
impl JsEncoding {
#[napi(constructor)]
pub fn new() -> Self {
Self { encoding: None }
}
#[napi]
pub fn get_length(&self) -> u32 {
self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.get_ids()
.len() as u32
}
#[napi]
pub fn get_n_sequences(&self) -> u32 {
self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.n_sequences() as u32
}
#[napi]
pub fn get_ids(&self) -> Vec<u32> {
self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.get_ids()
.to_vec()
}
#[napi]
pub fn get_type_ids(&self) -> Vec<u32> {
self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.get_type_ids()
.to_vec()
}
#[napi]
pub fn get_attention_mask(&self) -> Vec<u32> {
self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.get_attention_mask()
.to_vec()
}
#[napi]
pub fn get_special_tokens_mask(&self) -> Vec<u32> {
self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.get_special_tokens_mask()
.to_vec()
}
#[napi]
pub fn get_tokens(&self) -> Vec<String> {
self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.get_tokens()
.to_vec()
}
#[napi]
pub fn get_offsets(&self) -> Vec<Vec<u32>> {
self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.get_offsets()
.iter()
.map(|(a, b)| vec![*a as u32, *b as u32])
.collect()
}
#[napi]
pub fn get_word_ids(&self) -> Vec<Option<u32>> {
self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.get_word_ids()
.to_vec()
}
#[napi]
pub fn char_to_token(&self, pos: u32, seq_id: Option<u32>) -> Option<u32> {
let seq_id = seq_id.unwrap_or(0);
self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.char_to_token(pos as usize, seq_id as usize)
.map(|i| i as u32)
}
#[napi]
pub fn char_to_word(&self, pos: u32, seq_id: Option<u32>) -> Option<u32> {
let seq_id = seq_id.unwrap_or(0);
self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.char_to_word(pos as usize, seq_id as usize)
}
#[napi]
pub fn pad(&mut self, length: u32, options: Option<PaddingOptions>) -> Result<()> {
let params: tokenizers::PaddingParams = options.unwrap_or_default().try_into()?;
self.encoding.as_mut().expect("Uninitialized Encoding").pad(
length as usize,
params.pad_id,
params.pad_type_id,
¶ms.pad_token,
params.direction,
);
Ok(())
}
#[napi]
pub fn truncate(
&mut self,
length: u32,
stride: Option<u32>,
direction: Option<Either<String, JsTruncationDirection>>,
) -> Result<()> {
let stride = stride.unwrap_or_default();
let direction = match direction {
None => TruncationDirection::Left,
Some(Either::A(s)) => match s.as_str() {
"left" => TruncationDirection::Left,
"right" => TruncationDirection::Right,
d => {
return Err(Error::from_reason(format!(
"{d} is not a valid truncation direction"
)));
}
},
Some(Either::B(t)) => t.into(),
};
self
.encoding
.as_mut()
.expect("Uninitialized Encoding")
.truncate(length as usize, stride as usize, direction);
Ok(())
}
#[napi(ts_return_type = "[number, number] | null | undefined")]
pub fn word_to_tokens(&self, env: Env, word: u32, seq_id: Option<u32>) -> Result<Option<Array>> {
let seq_id = seq_id.unwrap_or(0);
if let Some((a, b)) = self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.word_to_tokens(word, seq_id as usize)
{
let mut arr = env.create_array(2)?;
arr.set(0, env.create_uint32(a as u32)?)?;
arr.set(1, env.create_uint32(b as u32)?)?;
Ok(Some(arr))
} else {
Ok(None)
}
}
#[napi(ts_return_type = "[number, number] | null | undefined")]
pub fn word_to_chars(&self, env: Env, word: u32, seq_id: Option<u32>) -> Result<Option<Array>> {
let seq_id = seq_id.unwrap_or(0);
if let Some((a, b)) = self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.word_to_chars(word, seq_id as usize)
{
let mut arr = env.create_array(2)?;
arr.set(0, env.create_uint32(a as u32)?)?;
arr.set(1, env.create_uint32(b as u32)?)?;
Ok(Some(arr))
} else {
Ok(None)
}
}
#[napi(ts_return_type = "[number, [number, number]] | null | undefined")]
pub fn token_to_chars(&self, env: Env, token: u32) -> Result<Option<Array>> {
if let Some((_, (start, stop))) = self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.token_to_chars(token as usize)
{
let mut offsets = env.create_array(2)?;
offsets.set(0, env.create_uint32(start as u32)?)?;
offsets.set(1, env.create_uint32(stop as u32)?)?;
Ok(Some(offsets))
} else {
Ok(None)
}
}
#[napi]
pub fn token_to_word(&self, token: u32) -> Result<Option<u32>> {
if let Some((_, index)) = self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.token_to_word(token as usize)
{
Ok(Some(index))
} else {
Ok(None)
}
}
#[napi]
pub fn get_overflowing(&self) -> Vec<JsEncoding> {
self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.get_overflowing()
.clone()
.into_iter()
.map(|enc| JsEncoding {
encoding: Some(enc),
})
.collect()
}
#[napi]
pub fn get_sequence_ids(&self) -> Vec<Option<u32>> {
self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.get_sequence_ids()
.into_iter()
.map(|s| s.map(|id| id as u32))
.collect()
}
#[napi]
pub fn token_to_sequence(&self, token: u32) -> Option<u32> {
self
.encoding
.as_ref()
.expect("Uninitialized Encoding")
.token_to_sequence(token as usize)
.map(|s| s as u32)
}
}
| 0
|
hf_public_repos/tokenizers/bindings/node
|
hf_public_repos/tokenizers/bindings/node/src/lib.rs
|
#![deny(clippy::all)]
pub const VERSION: &str = env!("CARGO_PKG_VERSION");
mod arc_rwlock_serde;
pub mod decoders;
pub mod encoding;
pub mod models;
pub mod normalizers;
pub mod pre_tokenizers;
pub mod processors;
pub mod tasks;
pub mod tokenizer;
pub mod trainers;
pub mod utils;
| 0
|
hf_public_repos/tokenizers/bindings/node
|
hf_public_repos/tokenizers/bindings/node/src/decoders.rs
|
use crate::arc_rwlock_serde;
use serde::{Deserialize, Serialize};
extern crate tokenizers as tk;
use napi::bindgen_prelude::*;
use napi_derive::napi;
use std::sync::{Arc, RwLock};
use tk::decoders::DecoderWrapper;
/// Decoder
#[derive(Clone, Serialize, Deserialize)]
#[napi]
pub struct Decoder {
#[serde(flatten, with = "arc_rwlock_serde")]
decoder: Option<Arc<RwLock<DecoderWrapper>>>,
}
#[napi]
impl Decoder {
#[napi]
pub fn decode(&self, tokens: Vec<String>) -> Result<String> {
use tk::Decoder;
self
.decoder
.as_ref()
.unwrap()
.read()
.unwrap()
.decode(tokens)
.map_err(|e| Error::from_reason(format!("{}", e)))
}
}
impl tk::Decoder for Decoder {
fn decode_chain(&self, tokens: Vec<String>) -> tk::Result<Vec<String>> {
self
.decoder
.as_ref()
.ok_or("Uninitialized Decoder")?
.read()
.unwrap()
.decode_chain(tokens)
}
}
#[napi]
pub fn bpe_decoder(suffix: Option<String>) -> Decoder {
let suffix = suffix.unwrap_or("</w>".to_string());
let decoder = Some(Arc::new(RwLock::new(
tk::decoders::bpe::BPEDecoder::new(suffix).into(),
)));
Decoder { decoder }
}
#[napi]
pub fn byte_fallback_decoder() -> Decoder {
Decoder {
decoder: Some(Arc::new(RwLock::new(
tk::decoders::byte_fallback::ByteFallback::new().into(),
))),
}
}
#[napi]
pub fn ctc_decoder(
#[napi(ts_arg_type = "string = '<pad>'")] pad_token: Option<String>,
word_delimiter_token: Option<String>,
cleanup: Option<bool>,
) -> Decoder {
let pad_token = pad_token.unwrap_or("<pad>".to_string());
let word_delimiter_token = word_delimiter_token.unwrap_or("|".to_string());
let cleanup = cleanup.unwrap_or(true);
let decoder = Some(Arc::new(RwLock::new(
tk::decoders::ctc::CTC::new(pad_token, word_delimiter_token, cleanup).into(),
)));
Decoder { decoder }
}
#[napi]
pub fn fuse_decoder() -> Decoder {
Decoder {
decoder: Some(Arc::new(RwLock::new(
tk::decoders::fuse::Fuse::new().into(),
))),
}
}
#[napi]
pub fn metaspace_decoder(
#[napi(ts_arg_type = "string = '▁'")] replacement: Option<String>,
#[napi(ts_arg_type = "bool = true")] add_prefix_space: Option<bool>,
) -> Result<Decoder> {
let add_prefix_space = add_prefix_space.unwrap_or(true);
let replacement = replacement.unwrap_or("▁".to_string());
if replacement.chars().count() != 1 {
return Err(Error::from_reason(
"replacement is supposed to be a single char",
));
}
let replacement = replacement.chars().next().unwrap();
Ok(Decoder {
decoder: Some(Arc::new(RwLock::new(
tk::decoders::metaspace::Metaspace::new(replacement, add_prefix_space).into(),
))),
})
}
#[napi]
pub fn replace_decoder(pattern: String, content: String) -> Result<Decoder> {
Ok(Decoder {
decoder: Some(Arc::new(RwLock::new(
tk::normalizers::replace::Replace::new(pattern, content)
.map_err(|e| Error::from_reason(e.to_string()))?
.into(),
))),
})
}
#[napi]
pub fn sequence_decoder(decoders: Vec<&Decoder>) -> Decoder {
let sequence: Vec<tk::DecoderWrapper> = decoders
.into_iter()
.filter_map(|decoder| {
decoder
.decoder
.as_ref()
.map(|decoder| (**decoder).read().unwrap().clone())
})
.clone()
.collect();
Decoder {
decoder: Some(Arc::new(RwLock::new(tk::DecoderWrapper::Sequence(
tk::decoders::sequence::Sequence::new(sequence),
)))),
}
}
#[napi]
pub fn strip_decoder(content: String, left: u32, right: u32) -> Result<Decoder> {
let content: char = content.chars().next().ok_or(Error::from_reason(
"Expected non empty string for strip pattern",
))?;
Ok(Decoder {
decoder: Some(Arc::new(RwLock::new(
tk::decoders::strip::Strip::new(content, left as usize, right as usize).into(),
))),
})
}
#[napi]
pub fn word_piece_decoder(
#[napi(ts_arg_type = "string = '##'")] prefix: Option<String>,
#[napi(ts_arg_type = "bool = true")] cleanup: Option<bool>,
) -> Decoder {
let prefix = prefix.unwrap_or("##".to_string());
let cleanup = cleanup.unwrap_or(true);
Decoder {
decoder: Some(Arc::new(RwLock::new(
tk::decoders::wordpiece::WordPiece::new(prefix, cleanup).into(),
))),
}
}
| 0
|
hf_public_repos/tokenizers/bindings/node
|
hf_public_repos/tokenizers/bindings/node/src/models.rs
|
use crate::arc_rwlock_serde;
use crate::tasks::models::{BPEFromFilesTask, WordLevelFromFilesTask, WordPieceFromFilesTask};
use crate::trainers::Trainer;
use napi::bindgen_prelude::*;
use napi_derive::napi;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::path::{Path, PathBuf};
use std::sync::{Arc, RwLock};
use tokenizers as tk;
use tokenizers::models::bpe::{BpeBuilder, Merges, Vocab};
use tokenizers::models::wordlevel::WordLevelBuilder;
use tokenizers::models::wordpiece::WordPieceBuilder;
#[napi]
#[derive(Clone, Serialize, Deserialize)]
pub struct Model {
#[serde(flatten, with = "arc_rwlock_serde")]
pub(crate) model: Option<Arc<RwLock<tk::models::ModelWrapper>>>,
}
impl<M> From<M> for Model
where
M: Into<tk::models::ModelWrapper>,
{
fn from(wrapper: M) -> Self {
Self {
model: Some(Arc::new(RwLock::new(wrapper.into()))),
}
}
}
#[napi(js_name = "BPE")]
pub struct Bpe {}
#[napi]
impl Bpe {
#[napi(factory, ts_return_type = "Model")]
pub fn empty() -> Result<Model> {
let bpe = tk::models::bpe::BPE::default();
Ok(Model {
model: Some(Arc::new(RwLock::new(bpe.into()))),
})
}
#[napi(factory, ts_return_type = "Model")]
pub fn init(vocab: Vocab, merges: Merges, options: Option<BpeOptions>) -> Result<Model> {
let options = options.unwrap_or_default();
let mut builder = tk::models::bpe::BPE::builder().vocab_and_merges(vocab, merges);
builder = options.apply_to_bpe_builder(builder);
let model = builder
.build()
.map_err(|e| Error::from_reason(e.to_string()))?;
Ok(Model {
model: Some(Arc::new(RwLock::new(model.into()))),
})
}
#[napi(ts_return_type = "Promise<Model>")]
pub fn from_file(
vocab: String,
merges: String,
options: Option<BpeOptions>,
) -> AsyncTask<BPEFromFilesTask> {
let options = options.unwrap_or_default();
let mut builder = tk::models::bpe::BPE::from_file(&vocab, &merges);
builder = options.apply_to_bpe_builder(builder);
AsyncTask::new(BPEFromFilesTask {
builder: Some(builder),
})
}
}
impl tk::Model for Model {
type Trainer = Trainer;
fn tokenize(&self, sequence: &str) -> tk::Result<Vec<tk::Token>> {
self
.model
.as_ref()
.ok_or("Uninitialized Model")?
.read()
.unwrap()
.tokenize(sequence)
}
fn token_to_id(&self, token: &str) -> Option<u32> {
self.model.as_ref()?.read().unwrap().token_to_id(token)
}
fn id_to_token(&self, id: u32) -> Option<String> {
self.model.as_ref()?.read().unwrap().id_to_token(id)
}
fn get_vocab(&self) -> HashMap<String, u32> {
self
.model
.as_ref()
.expect("Uninitialized Model")
.read()
.unwrap()
.get_vocab()
}
fn get_vocab_size(&self) -> usize {
self
.model
.as_ref()
.expect("Uninitialized Model")
.read()
.unwrap()
.get_vocab_size()
}
fn save(&self, folder: &Path, name: Option<&str>) -> tk::Result<Vec<PathBuf>> {
self
.model
.as_ref()
.ok_or("Uninitialized Model")?
.read()
.unwrap()
.save(folder, name)
}
fn get_trainer(&self) -> Self::Trainer {
self
.model
.as_ref()
.expect("Uninitialized Model")
.read()
.unwrap()
.get_trainer()
.into()
}
}
#[derive(Default)]
#[napi(object)]
pub struct BpeOptions {
pub cache_capacity: Option<u32>,
pub dropout: Option<f64>,
pub unk_token: Option<String>,
pub continuing_subword_prefix: Option<String>,
pub end_of_word_suffix: Option<String>,
pub fuse_unk: Option<bool>,
pub byte_fallback: Option<bool>,
}
impl BpeOptions {
fn apply_to_bpe_builder(self, mut builder: BpeBuilder) -> BpeBuilder {
if let Some(cache_capacity) = self.cache_capacity {
builder = builder.cache_capacity(cache_capacity as usize);
}
if let Some(dropout) = self.dropout {
builder = builder.dropout(dropout as f32);
}
if let Some(unk_token) = self.unk_token {
builder = builder.unk_token(unk_token);
}
if let Some(continuing_subword_prefix) = self.continuing_subword_prefix {
builder = builder.continuing_subword_prefix(continuing_subword_prefix);
}
if let Some(end_of_word_suffix) = self.end_of_word_suffix {
builder = builder.end_of_word_suffix(end_of_word_suffix);
}
if let Some(fuse_unk) = self.fuse_unk {
builder = builder.fuse_unk(fuse_unk);
}
if let Some(byte_fallback) = self.byte_fallback {
builder = builder.byte_fallback(byte_fallback);
}
builder
}
}
#[derive(Default)]
#[napi(object)]
pub struct WordPieceOptions {
pub unk_token: Option<String>,
pub continuing_subword_prefix: Option<String>,
pub max_input_chars_per_word: Option<u32>,
}
impl WordPieceOptions {
fn apply_to_wordpiece_builder(self, mut builder: WordPieceBuilder) -> WordPieceBuilder {
if let Some(token) = self.unk_token {
builder = builder.unk_token(token);
}
if let Some(prefix) = self.continuing_subword_prefix {
builder = builder.continuing_subword_prefix(prefix);
}
if let Some(max) = self.max_input_chars_per_word {
builder = builder.max_input_chars_per_word(max as usize);
}
builder
}
}
#[napi]
pub struct WordPiece {}
#[napi]
impl WordPiece {
#[napi(factory, ts_return_type = "Model")]
pub fn init(vocab: Vocab, options: Option<WordPieceOptions>) -> Result<Model> {
let options = options.unwrap_or_default();
let mut builder = tk::models::wordpiece::WordPiece::builder().vocab(vocab);
builder = options.apply_to_wordpiece_builder(builder);
let model = builder
.build()
.map_err(|e| Error::from_reason(e.to_string()))?;
Ok(Model {
model: Some(Arc::new(RwLock::new(model.into()))),
})
}
#[napi(factory)]
pub fn empty() -> Model {
let wordpiece = tk::models::wordpiece::WordPiece::default();
Model {
model: Some(Arc::new(RwLock::new(wordpiece.into()))),
}
}
#[napi(ts_return_type = "Promise<Model>")]
pub fn from_file(
vocab: String,
options: Option<WordPieceOptions>,
) -> AsyncTask<WordPieceFromFilesTask> {
let options = options.unwrap_or_default();
let mut builder = tk::models::wordpiece::WordPiece::from_file(&vocab);
builder = options.apply_to_wordpiece_builder(builder);
AsyncTask::new(WordPieceFromFilesTask {
builder: Some(builder),
})
}
}
#[derive(Default)]
#[napi(object)]
pub struct WordLevelOptions {
pub unk_token: Option<String>,
}
impl WordLevelOptions {
fn apply_to_wordlevel_builder(self, mut builder: WordLevelBuilder) -> WordLevelBuilder {
if let Some(token) = self.unk_token {
builder = builder.unk_token(token);
}
builder
}
}
#[napi]
pub struct WordLevel {}
#[napi]
impl WordLevel {
#[napi(factory, ts_return_type = "Model")]
pub fn init(vocab: Vocab, options: Option<WordLevelOptions>) -> Result<Model> {
let options = options.unwrap_or_default();
let mut builder = tk::models::wordlevel::WordLevel::builder().vocab(vocab);
builder = options.apply_to_wordlevel_builder(builder);
let model = builder
.build()
.map_err(|e| Error::from_reason(e.to_string()))?;
Ok(Model {
model: Some(Arc::new(RwLock::new(model.into()))),
})
}
#[napi(factory)]
pub fn empty() -> Model {
let wordlevel = tk::models::wordlevel::WordLevel::default();
Model {
model: Some(Arc::new(RwLock::new(wordlevel.into()))),
}
}
#[napi(ts_return_type = "Promise<Model>")]
pub fn from_file(
vocab: String,
options: Option<WordLevelOptions>,
) -> AsyncTask<WordLevelFromFilesTask> {
let options = options.unwrap_or_default();
let mut builder = tk::models::wordlevel::WordLevel::builder().files(vocab);
builder = options.apply_to_wordlevel_builder(builder);
AsyncTask::new(WordLevelFromFilesTask {
builder: Some(builder),
})
}
}
#[derive(Default)]
#[napi(object)]
pub struct UnigramOptions {
pub unk_id: Option<u32>,
pub byte_fallback: Option<bool>,
}
#[napi]
pub struct Unigram {}
#[napi]
impl Unigram {
#[napi(factory, ts_return_type = "Model")]
pub fn init(vocab: Vec<(String, f64)>, options: Option<UnigramOptions>) -> Result<Model> {
let options = options.unwrap_or_default();
let unigram = tk::models::unigram::Unigram::from(
vocab,
options.unk_id.map(|u| u as usize),
options.byte_fallback.unwrap_or(false),
)
.map_err(|e| Error::from_reason(e.to_string()))?;
Ok(Model {
model: Some(Arc::new(RwLock::new(unigram.into()))),
})
}
#[napi(factory, ts_return_type = "Model")]
pub fn empty() -> Model {
let unigram = tk::models::unigram::Unigram::default();
Model {
model: Some(Arc::new(RwLock::new(unigram.into()))),
}
}
}
| 0
|
hf_public_repos/tokenizers/bindings/node
|
hf_public_repos/tokenizers/bindings/node/src/pre_tokenizers.rs
|
use crate::arc_rwlock_serde;
use napi::bindgen_prelude::*;
use napi_derive::napi;
use serde::{Deserialize, Serialize};
use std::sync::{Arc, RwLock};
use tk::pre_tokenizers::PreTokenizerWrapper;
use tk::PreTokenizedString;
use tk::SplitDelimiterBehavior;
use tokenizers as tk;
#[napi(string_enum)]
pub enum JsSplitDelimiterBehavior {
Removed,
Isolated,
MergedWithPrevious,
MergedWithNext,
Contiguous,
}
impl TryFrom<String> for JsSplitDelimiterBehavior {
type Error = Error;
fn try_from(value: String) -> Result<Self> {
match &value[..] {
"removed" => Ok(JsSplitDelimiterBehavior::Removed),
"isolated" => Ok(JsSplitDelimiterBehavior::Isolated),
"mergedWithPrevious" => Ok(JsSplitDelimiterBehavior::MergedWithPrevious),
"mergedWithNext" => Ok(JsSplitDelimiterBehavior::MergedWithNext),
"contiguous" => Ok(JsSplitDelimiterBehavior::Contiguous),
_ => Err(Error::from_reason(
"Wrong value for SplitDelimiterBehavior, expected one of: \
`removed, isolated, mergedWithPrevious, mergedWithNext, contiguous`"
.to_string(),
)),
}
}
}
impl From<JsSplitDelimiterBehavior> for SplitDelimiterBehavior {
fn from(value: JsSplitDelimiterBehavior) -> Self {
match value {
JsSplitDelimiterBehavior::Removed => SplitDelimiterBehavior::Removed,
JsSplitDelimiterBehavior::Isolated => SplitDelimiterBehavior::Isolated,
JsSplitDelimiterBehavior::MergedWithPrevious => SplitDelimiterBehavior::MergedWithPrevious,
JsSplitDelimiterBehavior::MergedWithNext => SplitDelimiterBehavior::MergedWithNext,
JsSplitDelimiterBehavior::Contiguous => SplitDelimiterBehavior::Contiguous,
}
}
}
/// PreTokenizers
#[derive(Clone, Debug, Serialize, Deserialize)]
#[napi]
pub struct PreTokenizer {
#[serde(flatten, with = "arc_rwlock_serde")]
pretok: Option<Arc<RwLock<PreTokenizerWrapper>>>,
}
impl tk::PreTokenizer for PreTokenizer {
fn pre_tokenize(&self, pretokenized: &mut PreTokenizedString) -> tk::Result<()> {
self
.pretok
.as_ref()
.ok_or("Uninitialized PreTokenizer")?
.read()
.unwrap()
.pre_tokenize(pretokenized)?;
Ok(())
}
}
#[napi]
impl PreTokenizer {
#[napi(ts_return_type = "[string, [number, number]][]")]
pub fn pre_tokenize_string(&self, sequence: String, env: Env) -> Result<Vec<Array>> {
use tk::PreTokenizer;
let mut pretokenized = PreTokenizedString::from(sequence);
self
.pre_tokenize(&mut pretokenized)
.map_err(|e| Error::from_reason(format!("{}", e)))?;
pretokenized
.get_splits(tk::OffsetReferential::Original, tk::OffsetType::Char)
.into_iter()
.map(|(s, (start, end), _)| -> Result<Array> {
let mut arr = env.create_array(2)?;
let mut offset = env.create_array(2)?;
offset.set(0, env.create_uint32(start as u32)?)?;
offset.set(1, env.create_uint32(end as u32)?)?;
arr.set(0, env.create_string(s)?)?;
arr.set(1, offset)?;
Ok(arr)
})
.collect::<Result<Vec<_>>>()
}
}
/// byte_level(addPrefixSpace: bool = true, useRegex: bool = true)
#[napi]
pub fn byte_level_pre_tokenizer(
add_prefix_space: Option<bool>,
use_regex: Option<bool>,
) -> PreTokenizer {
let mut byte_level = tk::pre_tokenizers::byte_level::ByteLevel::default();
if let Some(add_prefix_space) = add_prefix_space {
byte_level = byte_level.add_prefix_space(add_prefix_space);
}
if let Some(use_regex) = use_regex {
byte_level = byte_level.use_regex(use_regex);
}
PreTokenizer {
pretok: Some(Arc::new(RwLock::new(byte_level.into()))),
}
}
#[napi]
pub fn byte_level_alphabet() -> Vec<String> {
tk::pre_tokenizers::byte_level::ByteLevel::alphabet()
.into_iter()
.map(|c| c.to_string())
.collect::<Vec<_>>()
}
#[napi]
pub fn whitespace_pre_tokenizer() -> PreTokenizer {
PreTokenizer {
pretok: Some(Arc::new(RwLock::new(
tk::pre_tokenizers::whitespace::Whitespace.into(),
))),
}
}
#[napi]
pub fn whitespace_split_pre_tokenizer() -> PreTokenizer {
PreTokenizer {
pretok: Some(Arc::new(RwLock::new(
tk::pre_tokenizers::whitespace::WhitespaceSplit.into(),
))),
}
}
#[napi]
pub fn bert_pre_tokenizer() -> PreTokenizer {
PreTokenizer {
pretok: Some(Arc::new(RwLock::new(
tk::pre_tokenizers::bert::BertPreTokenizer.into(),
))),
}
}
#[napi]
pub fn metaspace_pre_tokenizer(
#[napi(ts_arg_type = "string = '▁'")] replacement: Option<String>,
#[napi(ts_arg_type = "bool = true")] add_prefix_space: Option<bool>,
) -> Result<PreTokenizer> {
let add_prefix_space = add_prefix_space.unwrap_or(true);
let replacement = replacement.unwrap_or("▁".to_string());
if replacement.chars().count() != 1 {
return Err(Error::from_reason(
"replacement is supposed to be a single char",
));
}
let replacement = replacement.chars().next().unwrap();
Ok(PreTokenizer {
pretok: Some(Arc::new(RwLock::new(
tk::pre_tokenizers::metaspace::Metaspace::new(replacement, add_prefix_space).into(),
))),
})
}
#[napi]
pub fn split_pre_tokenizer(
pattern: String,
behavior: String,
invert: Option<bool>,
) -> Result<PreTokenizer> {
let behavior: JsSplitDelimiterBehavior = behavior.try_into()?;
let invert = invert.unwrap_or(false);
Ok(PreTokenizer {
pretok: Some(Arc::new(RwLock::new(
tk::pre_tokenizers::split::Split::new(pattern, behavior.into(), invert)
.map_err(|e| Error::from_reason(e.to_string()))?
.into(),
))),
})
}
#[napi]
pub fn punctuation_pre_tokenizer(behavior: Option<String>) -> Result<PreTokenizer> {
let behavior = match behavior {
Some(behavior) => behavior.try_into()?,
None => JsSplitDelimiterBehavior::Isolated,
};
Ok(PreTokenizer {
pretok: Some(Arc::new(RwLock::new(
tk::pre_tokenizers::punctuation::Punctuation::new(behavior.into()).into(),
))),
})
}
#[napi]
pub fn sequence_pre_tokenizer(pre_tokenizers: Vec<&PreTokenizer>) -> PreTokenizer {
let mut sequence: Vec<PreTokenizerWrapper> = Vec::with_capacity(pre_tokenizers.len());
pre_tokenizers.into_iter().for_each(|pre_tokenizer| {
if let Some(pre_tokenizer) = &pre_tokenizer.pretok {
sequence.push((**pre_tokenizer).read().unwrap().clone())
}
});
PreTokenizer {
pretok: Some(Arc::new(RwLock::new(PreTokenizerWrapper::Sequence(
tk::pre_tokenizers::sequence::Sequence::new(sequence),
)))),
}
}
#[napi]
pub fn char_delimiter_split(delimiter: String) -> Result<PreTokenizer> {
if delimiter.chars().count() != 1 {
return Err(Error::from_reason(
"delimiter is supposed to be a single char",
));
}
let delimiter = delimiter.chars().next().unwrap();
Ok(PreTokenizer {
pretok: Some(Arc::new(RwLock::new(
tk::pre_tokenizers::delimiter::CharDelimiterSplit::new(delimiter).into(),
))),
})
}
#[napi]
pub fn digits_pre_tokenizer(individual_digits: Option<bool>) -> PreTokenizer {
let individual_digits = individual_digits.unwrap_or(false);
PreTokenizer {
pretok: Some(Arc::new(RwLock::new(
tk::pre_tokenizers::digits::Digits::new(individual_digits).into(),
))),
}
}
| 0
|
hf_public_repos/tokenizers/bindings/node
|
hf_public_repos/tokenizers/bindings/node/src/processors.rs
|
use crate::arc_rwlock_serde;
use serde::{Deserialize, Serialize};
extern crate tokenizers as tk;
use napi::bindgen_prelude::*;
use napi_derive::napi;
use std::sync::{Arc, RwLock};
use tk::processors::PostProcessorWrapper;
use tk::Encoding;
#[derive(Clone, Serialize, Deserialize)]
#[napi]
pub struct Processor {
#[serde(flatten, with = "arc_rwlock_serde")]
processor: Option<Arc<RwLock<PostProcessorWrapper>>>,
}
impl tk::PostProcessor for Processor {
fn added_tokens(&self, is_pair: bool) -> usize {
self
.processor
.as_ref()
.expect("Uninitialized PostProcessor")
.read()
.unwrap()
.added_tokens(is_pair)
}
fn process_encodings(
&self,
encodings: Vec<Encoding>,
add_special_tokens: bool,
) -> tk::Result<Vec<Encoding>> {
self
.processor
.as_ref()
.ok_or("Uninitialized PostProcessor")?
.read()
.unwrap()
.process_encodings(encodings, add_special_tokens)
}
}
#[napi]
pub fn bert_processing(sep: (String, u32), cls: (String, u32)) -> Result<Processor> {
Ok(Processor {
processor: Some(Arc::new(RwLock::new(
tk::processors::bert::BertProcessing::new(sep, cls).into(),
))),
})
}
#[napi]
pub fn roberta_processing(
sep: (String, u32),
cls: (String, u32),
trim_offsets: Option<bool>,
add_prefix_space: Option<bool>,
) -> Result<Processor> {
let trim_offsets = trim_offsets.unwrap_or(true);
let add_prefix_space = add_prefix_space.unwrap_or(true);
let mut processor = tk::processors::roberta::RobertaProcessing::new(sep, cls);
processor = processor.trim_offsets(trim_offsets);
processor = processor.add_prefix_space(add_prefix_space);
Ok(Processor {
processor: Some(Arc::new(RwLock::new(processor.into()))),
})
}
#[napi]
pub fn byte_level_processing(trim_offsets: Option<bool>) -> Result<Processor> {
let mut byte_level = tk::processors::byte_level::ByteLevel::default();
if let Some(trim_offsets) = trim_offsets {
byte_level = byte_level.trim_offsets(trim_offsets);
}
Ok(Processor {
processor: Some(Arc::new(RwLock::new(byte_level.into()))),
})
}
#[napi]
pub fn template_processing(
single: String,
pair: Option<String>,
special_tokens: Option<Vec<(String, u32)>>,
) -> Result<Processor> {
let special_tokens = special_tokens.unwrap_or_default();
let mut builder = tk::processors::template::TemplateProcessing::builder();
builder.try_single(single).map_err(Error::from_reason)?;
builder.special_tokens(special_tokens);
if let Some(pair) = pair {
builder.try_pair(pair).map_err(Error::from_reason)?;
}
let processor = builder
.build()
.map_err(|e| Error::from_reason(e.to_string()))?;
Ok(Processor {
processor: Some(Arc::new(RwLock::new(processor.into()))),
})
}
#[napi]
pub fn sequence_processing(processors: Vec<&Processor>) -> Processor {
let sequence: Vec<tk::PostProcessorWrapper> = processors
.into_iter()
.filter_map(|processor| {
processor
.processor
.as_ref()
.map(|processor| (**processor).read().unwrap().clone())
})
.clone()
.collect();
Processor {
processor: Some(Arc::new(RwLock::new(PostProcessorWrapper::Sequence(
tk::processors::sequence::Sequence::new(sequence),
)))),
}
}
| 0
|
hf_public_repos/tokenizers/bindings/node
|
hf_public_repos/tokenizers/bindings/node/src/trainers.rs
|
use crate::models::Model;
use napi_derive::napi;
use std::sync::{Arc, RwLock};
use tokenizers as tk;
use tokenizers::models::TrainerWrapper;
#[napi]
pub struct Trainer {
trainer: Option<Arc<RwLock<TrainerWrapper>>>,
}
impl From<TrainerWrapper> for Trainer {
fn from(trainer: TrainerWrapper) -> Self {
Self {
trainer: Some(Arc::new(RwLock::new(trainer))),
}
}
}
impl tk::Trainer for Trainer {
type Model = Model;
fn should_show_progress(&self) -> bool {
self
.trainer
.as_ref()
.expect("Uninitialized Trainer")
.read()
.unwrap()
.should_show_progress()
}
fn train(&self, model: &mut Self::Model) -> tk::Result<Vec<tk::AddedToken>> {
let special_tokens = self
.trainer
.as_ref()
.ok_or("Uninitialized Trainer")?
.read()
.unwrap()
.train(
&mut model
.model
.as_ref()
.ok_or("Uninitialized Model")?
.write()
.unwrap(),
)?;
Ok(special_tokens)
}
fn feed<I, S, F>(&mut self, iterator: I, process: F) -> tk::Result<()>
where
I: Iterator<Item = S> + Send,
S: AsRef<str> + Send,
F: Fn(&str) -> tk::Result<Vec<String>> + Sync,
{
self
.trainer
.as_ref()
.ok_or("Uninitialized Trainer")?
.write()
.unwrap()
.feed(iterator, process)
}
}
| 0
|
hf_public_repos/tokenizers/bindings/node
|
hf_public_repos/tokenizers/bindings/node/src/arc_rwlock_serde.rs
|
use serde::de::Deserializer;
use serde::ser::Serializer;
use serde::{Deserialize, Serialize};
use std::sync::{Arc, RwLock};
pub fn serialize<S, T>(val: &Option<Arc<RwLock<T>>>, s: S) -> Result<S::Ok, S::Error>
where
S: Serializer,
T: Serialize,
{
T::serialize(&*(val.clone().unwrap()).read().unwrap(), s)
}
pub fn deserialize<'de, D, T>(d: D) -> Result<Option<Arc<RwLock<T>>>, D::Error>
where
D: Deserializer<'de>,
T: Deserialize<'de>,
{
Ok(Some(Arc::new(RwLock::new(T::deserialize(d)?))))
}
| 0
|
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