

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     a__  (    _UpperCAmelCase							,		unittest.TestCase	):
			"""simple docstring"""







			__lowerCamelCase       				=				RoCBertTokenizer
			__lowerCamelCase       				=				None
			__lowerCamelCase       				=				False
			__lowerCamelCase       				=				True
			__lowerCamelCase       				=				filter_non_english


			def    UpperCamelCase						(			self				)     ->  Tuple:
							'''simple docstring'''






							super().setUp()

							A__						=	["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "你", "好", "是", "谁", "a", "b", "c", "d"]
							A__						=	{}
							A__						=	{}
							for i, value in enumerate(lowercase				):
											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(lowercase					,					lowercase					,					ensure_ascii=lowercase				)
							with open(self.word_pronunciation_file					,					"w"					,					encoding="utf-8"				) as word_pronunciation_writer:
											json.dump(lowercase					,					lowercase					,					ensure_ascii=lowercase				)


			def    UpperCamelCase						(			self				)     ->  Tuple:
							'''simple docstring'''






							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(lowercase					,					["你", "好", "[SEP]", "你", "是", "谁"]				)
							self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase				)					,					[5, 6, 2, 5, 7, 8]				)
							self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(lowercase				)					,					[5, 6, 2, 5, 7, 8]				)
							self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(lowercase				)					,					[5, 6, 2, 5, 7, 8]				)


			def    UpperCamelCase						(			self				)     ->  List[str]:
							'''simple docstring'''






							A__						=	RoCBertBasicTokenizer()

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


			def    UpperCamelCase						(			self				)     ->  Optional[Any]:
							'''simple docstring'''






							A__						=	RoCBertBasicTokenizer(do_lower_case=lowercase				)

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


			def    UpperCamelCase						(			self				)     ->  Union[str, Any]:
							'''simple docstring'''






							A__						=	RoCBertBasicTokenizer(do_lower_case=lowercase					,					strip_accents=lowercase				)

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


			def    UpperCamelCase						(			self				)     ->  Dict:
							'''simple docstring'''






							A__						=	RoCBertBasicTokenizer(do_lower_case=lowercase					,					strip_accents=lowercase				)

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


			def    UpperCamelCase						(			self				)     ->  Any:
							'''simple docstring'''






							A__						=	RoCBertBasicTokenizer(do_lower_case=lowercase				)

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


			def    UpperCamelCase						(			self				)     ->  Tuple:
							'''simple docstring'''






							A__						=	RoCBertBasicTokenizer(do_lower_case=lowercase				)

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


			def    UpperCamelCase						(			self				)     ->  Dict:
							'''simple docstring'''






							A__						=	RoCBertBasicTokenizer(do_lower_case=lowercase					,					strip_accents=lowercase				)

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


			def    UpperCamelCase						(			self				)     ->  List[str]:
							'''simple docstring'''






							A__						=	RoCBertBasicTokenizer(do_lower_case=lowercase					,					strip_accents=lowercase				)

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


			def    UpperCamelCase						(			self				)     ->  Tuple:
							'''simple docstring'''






							A__						=	RoCBertBasicTokenizer(do_lower_case=lowercase					,					never_split=["[UNK]"]				)

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


			def    UpperCamelCase						(			self				)     ->  Optional[int]:
							'''simple docstring'''






							A__						=	["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

							A__						=	{}
							for i, token in enumerate(lowercase				):
											A__						=	i
							A__						=	RoCBertWordpieceTokenizer(vocab=lowercase					,					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    UpperCamelCase						(			self				)     ->  int:
							'''simple docstring'''






							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    UpperCamelCase						(			self				)     ->  int:
							'''simple docstring'''






							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    UpperCamelCase						(			self				)     ->  int:
							'''simple docstring'''






							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    UpperCamelCase						(			self				)     ->  Tuple:
							'''simple docstring'''






							A__						=	self.get_tokenizer()

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

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


			def    UpperCamelCase						(			self				)     ->  Union[str, Any]:
							'''simple docstring'''






							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(lowercase					,					**lowercase				)

															A__						=	F'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
															A__						=	tokenizer_r.encode_plus(
															    lowercase					,					return_attention_mask=lowercase					,					return_token_type_ids=lowercase					,					return_offsets_mapping=lowercase					,					add_special_tokens=lowercase					,					)

															A__						=	tokenizer_r.do_lower_case if hasattr(lowercase					,					"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    UpperCamelCase						(			self				)     ->  List[Any]:
							'''simple docstring'''






							A__						=	["的", "人", "有"]
							A__						=	"".join(lowercase				)
							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(lowercase					,					**lowercase				)
															A__						=	self.rust_tokenizer_class.from_pretrained(lowercase					,					**lowercase				)

															A__						=	tokenizer_p.encode(lowercase					,					add_special_tokens=lowercase				)
															A__						=	tokenizer_r.encode(lowercase					,					add_special_tokens=lowercase				)

															A__						=	tokenizer_r.convert_ids_to_tokens(lowercase				)
															A__						=	tokenizer_p.convert_ids_to_tokens(lowercase				)

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

															A__						=	False
															A__						=	self.rust_tokenizer_class.from_pretrained(lowercase					,					**lowercase				)
															A__						=	self.tokenizer_class.from_pretrained(lowercase					,					**lowercase				)

															A__						=	tokenizer_r.encode(lowercase					,					add_special_tokens=lowercase				)
															A__						=	tokenizer_p.encode(lowercase					,					add_special_tokens=lowercase				)

															A__						=	tokenizer_r.convert_ids_to_tokens(lowercase				)
															A__						=	tokenizer_p.convert_ids_to_tokens(lowercase				)

															# 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(lowercase				)
															]
															self.assertListEqual(lowercase					,					lowercase				)
															self.assertListEqual(lowercase					,					lowercase				)


			@slow
			def    UpperCamelCase						(			self				)     ->  Optional[Any]:
							'''simple docstring'''






							A__						=	self.tokenizer_class(self.vocab_file					,					self.word_shape_file					,					self.word_pronunciation_file				)

							A__						=	tokenizer.encode("你好"					,					add_special_tokens=lowercase				)
							A__						=	tokenizer.encode("你是谁"					,					add_special_tokens=lowercase				)

							A__						=	tokenizer.build_inputs_with_special_tokens(lowercase				)
							A__						=	tokenizer.build_inputs_with_special_tokens(lowercase					,					lowercase				)

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


			def    UpperCamelCase						(			self				)     ->  Tuple:
							'''simple docstring'''






							A__						=	self.get_tokenizers(do_lower_case=lowercase				)
							for tokenizer in tokenizers:
											with self.subTest(F'{tokenizer.__class__.__name__}'				):
															A__						=	"你好，你是谁"
															A__						=	tokenizer.tokenize(lowercase				)
															A__						=	tokenizer.convert_tokens_to_ids(lowercase				)
															A__						=	tokenizer.convert_tokens_to_shape_ids(lowercase				)
															A__						=	tokenizer.convert_tokens_to_pronunciation_ids(lowercase				)
															A__						=	tokenizer.prepare_for_model(
															    lowercase					,					lowercase					,					lowercase					,					add_special_tokens=lowercase				)

															A__						=	tokenizer.encode_plus(lowercase					,					add_special_tokens=lowercase				)

															self.assertEqual(lowercase					,					lowercase				)








"""simple docstring"""





import os
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, Optional, Union

import numpy as np
import pyarrow as pa

from .. import config
from ..download.streaming_download_manager import xopen, xsplitext
from ..table import array_cast
from ..utils.py_utils import no_op_if_value_is_null, string_to_dict


if TYPE_CHECKING:
       from .features import FeatureType


SCREAMING_SNAKE_CASE__,      SCREAMING_SNAKE_CASE__,      SCREAMING_SNAKE_CASE__					=   False, False, False

@dataclass
class 		lowercase					:
      _SCREAMING_SNAKE_CASE					=      None
      _SCREAMING_SNAKE_CASE					=      True
      _SCREAMING_SNAKE_CASE					=      True
      _SCREAMING_SNAKE_CASE					=      None
      # Automatically constructed
      _SCREAMING_SNAKE_CASE					=      "dict"
      _SCREAMING_SNAKE_CASE					=      pa.struct({'bytes': pa.binary(), 'path': pa.string()}					)
      _SCREAMING_SNAKE_CASE					=      field(default='Audio'     ,  init=_UpperCAmelCase     ,  repr=_UpperCAmelCase					)





      def __call__(       self )		->     Union[str, Any]:
            return self.pa_type





      def     _snake_case			(       self      ,						lowercase )		->     dict:
            try:
                  import soundfile as sf  # soundfile is a dependency of librosa, needed to decode audio files.
            except ImportError as err:
                  raise ImportError("""To support encoding audio data, please install 'soundfile'.""" ) from err
            if isinstance(lowercase      ,						lowercase ):
                  return {"bytes": None, "path": value}
            elif isinstance(lowercase      ,						lowercase ):
                  return {"bytes": value, "path": None}
            elif "array" in value:
                  # convert the audio array to wav bytes
                  lowerCAmelCase  						=       BytesIO()
                  sf.write(lowercase      ,						value["""array"""]      ,						value["""sampling_rate"""]      ,						format="""wav""" )
                  return {"bytes": buffer.getvalue(), "path": None}
            elif value.get("""path""" ) is not None and os.path.isfile(value["""path"""] ):
                  # we set "bytes": None to not duplicate the data if they're already available locally
                  if value["path"].endswith("""pcm""" ):
                        # "PCM" only has raw audio bytes
                        if value.get("""sampling_rate""" ) is None:
                              # At least, If you want to convert "PCM-byte" to "WAV-byte", you have to know sampling rate
                              raise KeyError("""To use PCM files, please specify a 'sampling_rate' in Audio object""" )
                        if value.get("""bytes""" ):
                              # If we already had PCM-byte, we don`t have to make "read file, make bytes" (just use it!)
                              lowerCAmelCase  						=       np.frombuffer(value["""bytes"""]      ,						dtype=np.intaa ).astype(np.floataa ) / 32_767
                        else:
                              lowerCAmelCase  						=       np.memmap(value["""path"""]      ,						dtype="""h"""      ,						mode="""r""" ).astype(np.floataa ) / 32_767

                        lowerCAmelCase  						=       BytesIO(bytes() )
                        sf.write(lowercase      ,						lowercase      ,						value["""sampling_rate"""]      ,						format="""wav""" )
                        return {"bytes": buffer.getvalue(), "path": None}
                  else:
                        return {"bytes": None, "path": value.get("""path""" )}
            elif value.get("""bytes""" ) is not None or value.get("""path""" ) is not None:
                  # store the audio bytes, and path is used to infer the audio format using the file extension
                  return {"bytes": value.get("""bytes""" ), "path": value.get("""path""" )}
            else:
                  raise ValueError(
                      f'An audio sample should have one of \'path\' or \'bytes\' but they are missing or None in {value}.' )





      def     _snake_case			(       self      ,						lowercase      ,						lowercase = None )		->     dict:
            if not self.decode:
                  raise RuntimeError("""Decoding is disabled for this feature. Please use Audio(decode=True) instead.""" )

            lowerCAmelCase						,		lowerCAmelCase  						=       (value["""path"""], BytesIO(value["""bytes"""] )) if value["""bytes"""] is not None else (value["""path"""], None)
            if path is None and file is None:
                  raise ValueError(f'An audio sample should have one of \'path\' or \'bytes\' but both are None in {value}.' )

            try:
                  import librosa
                  import soundfile as sf
            except ImportError as err:
                  raise ImportError("""To support decoding audio files, please install 'librosa' and 'soundfile'.""" ) from err

            lowerCAmelCase  						=       xsplitext(lowercase )[1][1:].lower() if path is not None else None
            if not config.IS_OPUS_SUPPORTED and audio_format == "opus":
                  raise RuntimeError(
                      """Decoding 'opus' files requires system library 'libsndfile'>=1.0.31, """
                      """You can try to update `soundfile` python library: `pip install \"soundfile>=0.12.1\"`. """ )
            elif not config.IS_MP3_SUPPORTED and audio_format == "mp3":
                  raise RuntimeError(
                      """Decoding 'mp3' files requires system library 'libsndfile'>=1.1.0, """
                      """You can try to update `soundfile` python library: `pip install \"soundfile>=0.12.1\"`. """ )

            if file is None:
                  lowerCAmelCase  						=       token_per_repo_id or {}
                  lowerCAmelCase  						=       path.split("""::""" )[-1]
                  try:
                        lowerCAmelCase  						=       string_to_dict(lowercase      ,						config.HUB_DATASETS_URL )["""repo_id"""]
                        lowerCAmelCase  						=       token_per_repo_id[repo_id]
                  except (ValueError, KeyError):
                        lowerCAmelCase  						=       None

                  with xopen(lowercase      ,						"""rb"""      ,						use_auth_token=lowercase ) as f:
                        lowerCAmelCase						,		lowerCAmelCase  						=       sf.read(lowercase )

            else:
                  lowerCAmelCase						,		lowerCAmelCase  						=       sf.read(lowercase )

            lowerCAmelCase  						=       array.T
            if self.mono:
                  lowerCAmelCase  						=       librosa.to_mono(lowercase )
            if self.sampling_rate and self.sampling_rate != sampling_rate:
                  lowerCAmelCase  						=       librosa.resample(lowercase      ,						orig_sr=lowercase      ,						target_sr=self.sampling_rate )
                  lowerCAmelCase  						=       self.sampling_rate

            return {"path": path, "array": array, "sampling_rate": sampling_rate}





      def     _snake_case			(       self )		->     Union["FeatureType", Dict[str, "FeatureType"]]:
            from .features import Value

            if self.decode:
                  raise ValueError("""Cannot flatten a decoded Audio feature.""" )
            return {
                "bytes": Value("""binary""" ),
                "path": Value("""string""" ),
            }





      def     _snake_case			(       self      ,						lowercase )		->     pa.StructArray:
            if pa.types.is_string(storage.type ):
                  lowerCAmelCase  						=       pa.array([None] * len(lowercase )      ,						type=pa.binary() )
                  lowerCAmelCase  						=       pa.StructArray.from_arrays([bytes_array, storage]      ,						["""bytes""", """path"""]      ,						mask=storage.is_null() )
            elif pa.types.is_binary(storage.type ):
                  lowerCAmelCase  						=       pa.array([None] * len(lowercase )      ,						type=pa.string() )
                  lowerCAmelCase  						=       pa.StructArray.from_arrays([storage, path_array]      ,						["""bytes""", """path"""]      ,						mask=storage.is_null() )
            elif pa.types.is_struct(storage.type ) and storage.type.get_all_field_indices("""array""" ):
                  lowerCAmelCase  						=       pa.array([Audio().encode_example(lowercase ) if x is not None else None for x in storage.to_pylist()] )
            elif pa.types.is_struct(storage.type ):
                  if storage.type.get_field_index("""bytes""" ) >= 0:
                        lowerCAmelCase  						=       storage.field("""bytes""" )
                  else:
                        lowerCAmelCase  						=       pa.array([None] * len(lowercase )      ,						type=pa.binary() )
                  if storage.type.get_field_index("""path""" ) >= 0:
                        lowerCAmelCase  						=       storage.field("""path""" )
                  else:
                        lowerCAmelCase  						=       pa.array([None] * len(lowercase )      ,						type=pa.string() )
                  lowerCAmelCase  						=       pa.StructArray.from_arrays([bytes_array, path_array]      ,						["""bytes""", """path"""]      ,						mask=storage.is_null() )
            return array_cast(lowercase      ,						self.pa_type )





      def     _snake_case			(       self      ,						lowercase )		->     pa.StructArray:

            @no_op_if_value_is_null
            def path_to_bytes(lowercase ):
                  with xopen(lowercase      ,						"""rb""" ) as f:
                        lowerCAmelCase  						=       f.read()
                  return bytes_

            lowerCAmelCase  						=       pa.array(
                [
                    (path_to_bytes(x["""path"""] ) if x["""bytes"""] is None else x["""bytes"""]) if x is not None else None
                    for x in storage.to_pylist()
                ]      ,						type=pa.binary()      ,						)
            lowerCAmelCase  						=       pa.array(
                [os.path.basename(lowercase ) if path is not None else None for path in storage.field("""path""" ).to_pylist()]      ,						type=pa.string()      ,						)
            lowerCAmelCase  						=       pa.StructArray.from_arrays([bytes_array, path_array]      ,						["""bytes""", """path"""]      ,						mask=bytes_array.is_null() )
            return array_cast(lowercase      ,						self.pa_type )






