





"""simple docstring"""
import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english






@require_tokenizers
class 					_UpperCAmelCase   (	lowercase_     ,							unittest.TestCase ):
					UpperCamelCase      =							RoCBertTokenizer
					UpperCamelCase      =							None
					UpperCamelCase      =							False
					UpperCamelCase      =							True
					UpperCamelCase      =							filter_non_english


					def 	lowerCamelCase       (					self			:Optional[int]		):
												super().setUp()

												A		=  ["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "你", "好", "是", "谁", "a", "b", "c", "d"]
												A		=  {}
												A		=  {}
												for i, value in enumerate(__UpperCamelCase		):
																			A		=  i
																			A		=  i
												A		=  os.path.join(self.tmpdirname     ,       VOCAB_FILES_NAMES["vocab_file"]		)
												A		=  os.path.join(self.tmpdirname     ,       VOCAB_FILES_NAMES["word_shape_file"]		)
												A		=  os.path.join(self.tmpdirname     ,       VOCAB_FILES_NAMES["word_pronunciation_file"]		)
												with open(self.vocab_file     ,       "w"     ,       encoding="utf-8"		) as vocab_writer:
																			vocab_writer.write("".join([x + "\n" for x in vocab_tokens]		)		)
												with open(self.word_shape_file     ,       "w"     ,       encoding="utf-8"		) as word_shape_writer:
																			json.dump(__UpperCamelCase     ,       __UpperCamelCase     ,       ensure_ascii=__UpperCamelCase		)
												with open(self.word_pronunciation_file     ,       "w"     ,       encoding="utf-8"		) as word_pronunciation_writer:
																			json.dump(__UpperCamelCase     ,       __UpperCamelCase     ,       ensure_ascii=__UpperCamelCase		)


					def 	lowerCamelCase       (					self			:Optional[int]		):
												A		=  self.tokenizer_class(self.vocab_file     ,       self.word_shape_file     ,       self.word_pronunciation_file		)

												A		=  tokenizer.tokenize("你好[SEP]你是谁"		)
												self.assertListEqual(__UpperCamelCase     ,       ["你", "好", "[SEP]", "你", "是", "谁"]		)
												self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase		)     ,       [5, 6, 2, 5, 7, 8]		)
												self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(__UpperCamelCase		)     ,       [5, 6, 2, 5, 7, 8]		)
												self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(__UpperCamelCase		)     ,       [5, 6, 2, 5, 7, 8]		)


					def 	lowerCamelCase       (					self			:int		):
												A		=  RoCBertBasicTokenizer()

												self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"		)     ,       ["ah", "\u535A", "\u63A8", "zz"]		)


					def 	lowerCamelCase       (					self			:Optional[Any]		):
												A		=  RoCBertBasicTokenizer(do_lower_case=__UpperCamelCase		)

												self.assertListEqual(
												    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "		)     ,       ["hello", "!", "how", "are", "you", "?"]		)
												self.assertListEqual(tokenizer.tokenize("H\u00E9llo"		)     ,       ["hello"]		)


					def 	lowerCamelCase       (					self			:int		):
												A		=  RoCBertBasicTokenizer(do_lower_case=__UpperCamelCase     ,       strip_accents=__UpperCamelCase		)

												self.assertListEqual(
												    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "		)     ,       ["hällo", "!", "how", "are", "you", "?"]		)
												self.assertListEqual(tokenizer.tokenize("H\u00E9llo"		)     ,       ["h\u00E9llo"]		)


					def 	lowerCamelCase       (					self			:Dict		):
												A		=  RoCBertBasicTokenizer(do_lower_case=__UpperCamelCase     ,       strip_accents=__UpperCamelCase		)

												self.assertListEqual(
												    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "		)     ,       ["hallo", "!", "how", "are", "you", "?"]		)
												self.assertListEqual(tokenizer.tokenize("H\u00E9llo"		)     ,       ["hello"]		)


					def 	lowerCamelCase       (					self			:Any		):
												A		=  RoCBertBasicTokenizer(do_lower_case=__UpperCamelCase		)

												self.assertListEqual(
												    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "		)     ,       ["hallo", "!", "how", "are", "you", "?"]		)
												self.assertListEqual(tokenizer.tokenize("H\u00E9llo"		)     ,       ["hello"]		)


					def 	lowerCamelCase       (					self			:Optional[Any]		):
												A		=  RoCBertBasicTokenizer(do_lower_case=__UpperCamelCase		)

												self.assertListEqual(
												    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "		)     ,       ["HeLLo", "!", "how", "Are", "yoU", "?"]		)


					def 	lowerCamelCase       (					self			:Union[str, Any]		):
												A		=  RoCBertBasicTokenizer(do_lower_case=__UpperCamelCase     ,       strip_accents=__UpperCamelCase		)

												self.assertListEqual(
												    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "		)     ,       ["HäLLo", "!", "how", "Are", "yoU", "?"]		)


					def 	lowerCamelCase       (					self			:Dict		):
												A		=  RoCBertBasicTokenizer(do_lower_case=__UpperCamelCase     ,       strip_accents=__UpperCamelCase		)

												self.assertListEqual(
												    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "		)     ,       ["HaLLo", "!", "how", "Are", "yoU", "?"]		)


					def 	lowerCamelCase       (					self			:Union[str, Any]		):
												A		=  RoCBertBasicTokenizer(do_lower_case=__UpperCamelCase     ,       never_split=["[UNK]"]		)

												self.assertListEqual(
												    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"		)     ,       ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]		)


					def 	lowerCamelCase       (					self			:int		):
												A		=  ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

												A		=  {}
												for i, token in enumerate(__UpperCamelCase		):
																			A		=  i
												A		=  RoCBertWordpieceTokenizer(vocab=__UpperCamelCase     ,       unk_token="[UNK]"		)

												self.assertListEqual(tokenizer.tokenize(""		)     ,       []		)

												self.assertListEqual(tokenizer.tokenize("unwanted running"		)     ,       ["un", "##want", "##ed", "runn", "##ing"]		)

												self.assertListEqual(tokenizer.tokenize("unwantedX running"		)     ,       ["[UNK]", "runn", "##ing"]		)


					def 	lowerCamelCase       (					self			:str		):
												self.assertTrue(_is_whitespace(" "		)		)
												self.assertTrue(_is_whitespace("\t"		)		)
												self.assertTrue(_is_whitespace("\r"		)		)
												self.assertTrue(_is_whitespace("\n"		)		)
												self.assertTrue(_is_whitespace("\u00A0"		)		)

												self.assertFalse(_is_whitespace("A"		)		)
												self.assertFalse(_is_whitespace("-"		)		)


					def 	lowerCamelCase       (					self			:List[str]		):
												self.assertTrue(_is_control("\u0005"		)		)

												self.assertFalse(_is_control("A"		)		)
												self.assertFalse(_is_control(" "		)		)
												self.assertFalse(_is_control("\t"		)		)
												self.assertFalse(_is_control("\r"		)		)


					def 	lowerCamelCase       (					self			:Tuple		):
												self.assertTrue(_is_punctuation("-"		)		)
												self.assertTrue(_is_punctuation("$"		)		)
												self.assertTrue(_is_punctuation("`"		)		)
												self.assertTrue(_is_punctuation("."		)		)

												self.assertFalse(_is_punctuation("A"		)		)
												self.assertFalse(_is_punctuation(" "		)		)


					def 	lowerCamelCase       (					self			:int		):
												A		=  self.get_tokenizer()

												# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
												self.assertListEqual([tokenizer.tokenize(__UpperCamelCase		) for t in ["Test", "\xad", "test"]]     ,       [["[UNK]"], [], ["[UNK]"]]		)

												if self.test_rust_tokenizer:
																			A		=  self.get_rust_tokenizer()
																			self.assertListEqual(
																			    [rust_tokenizer.tokenize(__UpperCamelCase		) for t in ["Test", "\xad", "test"]]     ,       [["[UNK]"], [], ["[UNK]"]]		)


					def 	lowerCamelCase       (					self			:Optional[Any]		):
												for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																			with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"		):
																										A		=  self.rust_tokenizer_class.from_pretrained(__UpperCamelCase     ,       **__UpperCamelCase		)

																										A		=  f"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
																										A		=  tokenizer_r.encode_plus(
																										    __UpperCamelCase     ,       return_attention_mask=__UpperCamelCase     ,       return_token_type_ids=__UpperCamelCase     ,       return_offsets_mapping=__UpperCamelCase     ,       add_special_tokens=__UpperCamelCase     ,       )

																										A		=  tokenizer_r.do_lower_case if hasattr(__UpperCamelCase     ,       "do_lower_case"		) else False
																										A		=  (
																										    [
																										        ((0, 0), tokenizer_r.cls_token),
																										        ((0, 1), "A"),
																										        ((1, 2), ","),
																										        ((3, 5), "na"),
																										        ((5, 6), "##ï"),
																										        ((6, 8), "##ve"),
																										        ((9, 15), tokenizer_r.mask_token),
																										        ((16, 21), "Allen"),
																										        ((21, 23), "##NL"),
																										        ((23, 24), "##P"),
																										        ((25, 33), "sentence"),
																										        ((33, 34), "."),
																										        ((0, 0), tokenizer_r.sep_token),
																										    ]
																										    if not do_lower_case
																										    else [
																										        ((0, 0), tokenizer_r.cls_token),
																										        ((0, 1), "a"),
																										        ((1, 2), ","),
																										        ((3, 8), "naive"),
																										        ((9, 15), tokenizer_r.mask_token),
																										        ((16, 21), "allen"),
																										        ((21, 23), "##nl"),
																										        ((23, 24), "##p"),
																										        ((25, 33), "sentence"),
																										        ((33, 34), "."),
																										        ((0, 0), tokenizer_r.sep_token),
																										    ]
																										)

																										self.assertEqual(
																										    [e[1] for e in expected_results]     ,       tokenizer_r.convert_ids_to_tokens(tokens["input_ids"]		)		)
																										self.assertEqual([e[0] for e in expected_results]     ,       tokens["offset_mapping"]		)


					def 	lowerCamelCase       (					self			:Any		):
												A		=  ["的", "人", "有"]
												A		=  "".join(__UpperCamelCase		)
												for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																			with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"		):
																										A		=  True
																										A		=  self.tokenizer_class.from_pretrained(__UpperCamelCase     ,       **__UpperCamelCase		)
																										A		=  self.rust_tokenizer_class.from_pretrained(__UpperCamelCase     ,       **__UpperCamelCase		)

																										A		=  tokenizer_p.encode(__UpperCamelCase     ,       add_special_tokens=__UpperCamelCase		)
																										A		=  tokenizer_r.encode(__UpperCamelCase     ,       add_special_tokens=__UpperCamelCase		)

																										A		=  tokenizer_r.convert_ids_to_tokens(__UpperCamelCase		)
																										A		=  tokenizer_p.convert_ids_to_tokens(__UpperCamelCase		)

																										# it is expected that each Chinese character is not preceded by "##"
																										self.assertListEqual(__UpperCamelCase     ,       __UpperCamelCase		)
																										self.assertListEqual(__UpperCamelCase     ,       __UpperCamelCase		)

																										A		=  False
																										A		=  self.rust_tokenizer_class.from_pretrained(__UpperCamelCase     ,       **__UpperCamelCase		)
																										A		=  self.tokenizer_class.from_pretrained(__UpperCamelCase     ,       **__UpperCamelCase		)

																										A		=  tokenizer_r.encode(__UpperCamelCase     ,       add_special_tokens=__UpperCamelCase		)
																										A		=  tokenizer_p.encode(__UpperCamelCase     ,       add_special_tokens=__UpperCamelCase		)

																										A		=  tokenizer_r.convert_ids_to_tokens(__UpperCamelCase		)
																										A		=  tokenizer_p.convert_ids_to_tokens(__UpperCamelCase		)

																										# it is expected that only the first Chinese character is not preceded by "##".
																										A		=  [
																										    f"##{token}" if idx != 0 else token for idx, token in enumerate(__UpperCamelCase		)
																										]
																										self.assertListEqual(__UpperCamelCase     ,       __UpperCamelCase		)
																										self.assertListEqual(__UpperCamelCase     ,       __UpperCamelCase		)


					@slow
					def 	lowerCamelCase       (					self			:List[str]		):
												A		=  self.tokenizer_class(self.vocab_file     ,       self.word_shape_file     ,       self.word_pronunciation_file		)

												A		=  tokenizer.encode("你好"     ,       add_special_tokens=__UpperCamelCase		)
												A		=  tokenizer.encode("你是谁"     ,       add_special_tokens=__UpperCamelCase		)

												A		=  tokenizer.build_inputs_with_special_tokens(__UpperCamelCase		)
												A		=  tokenizer.build_inputs_with_special_tokens(__UpperCamelCase     ,       __UpperCamelCase		)

												assert encoded_sentence == [1] + text + [2]
												assert encoded_pair == [1] + text + [2] + text_a + [2]


					def 	lowerCamelCase       (					self			:List[Any]		):
												A		=  self.get_tokenizers(do_lower_case=__UpperCamelCase		)
												for tokenizer in tokenizers:
																			with self.subTest(f"{tokenizer.__class__.__name__}"		):
																										A		=  "你好，你是谁"
																										A		=  tokenizer.tokenize(__UpperCamelCase		)
																										A		=  tokenizer.convert_tokens_to_ids(__UpperCamelCase		)
																										A		=  tokenizer.convert_tokens_to_shape_ids(__UpperCamelCase		)
																										A		=  tokenizer.convert_tokens_to_pronunciation_ids(__UpperCamelCase		)
																										A		=  tokenizer.prepare_for_model(
																										    __UpperCamelCase     ,       __UpperCamelCase     ,       __UpperCamelCase     ,       add_special_tokens=__UpperCamelCase		)

																										A		=  tokenizer.encode_plus(__UpperCamelCase     ,       add_special_tokens=__UpperCamelCase		)

																										self.assertEqual(__UpperCamelCase     ,       __UpperCamelCase		)









"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


_snake_case     :		Union[str, Any]       						= {
    'configuration_encodec': [
        'ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'EncodecConfig',
    ],
    'feature_extraction_encodec': ['EncodecFeatureExtractor'],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_snake_case     :		int       						= [
		    'ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'EncodecModel',
		    'EncodecPreTrainedModel',
		]

if TYPE_CHECKING:
		from .configuration_encodec import (
		    ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    EncodecConfig,
		)
		from .feature_extraction_encodec import EncodecFeatureExtractor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_encodec import (
				    ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
				    EncodecModel,
				    EncodecPreTrainedModel,
				)

else:
		import sys

		_snake_case     :		str       						= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


