






"""simple docstring"""





import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union

import numpy as np



def     __lowercase					(    a :				Any       ,		a :				Tuple )					->					Union[str, Any]:
      __snake_case      :    List[str]  			=f'''{sampling_rate}'''
      __snake_case      :    Any  			='''1'''
      __snake_case      :    List[str]  			='''f32le'''
      __snake_case      :    int  			=[
          '''ffmpeg''',
          '''-i''',
          '''pipe:0''',
          '''-ac''',
          ac,
          '''-ar''',
          ar,
          '''-f''',
          format_for_conversion,
          '''-hide_banner''',
          '''-loglevel''',
          '''quiet''',
          '''pipe:1''',
      ]

      try:
            with subprocess.Popen(_lowercase       ,		stdin=subprocess.PIPE       ,		stdout=subprocess.PIPE ) as ffmpeg_process:
                  __snake_case      :    Dict  			=ffmpeg_process.communicate(_lowercase )
      except FileNotFoundError as error:
            raise ValueError('''ffmpeg was not found but is required to load audio files from filename''' ) from error
      __snake_case      :    Dict  			=output_stream[0]
      __snake_case      :    Optional[Any]  			=np.frombuffer(_lowercase       ,		np.floataa )
      if audio.shape[0] == 0:
            raise ValueError('''Malformed soundfile''' )
      return audio



def     __lowercase					(    a :				str       ,		a :				Dict       ,		a :				Dict = "f32le"       ,		)					->					Tuple:
      __snake_case      :    int  			=f'''{sampling_rate}'''
      __snake_case      :    Optional[int]  			='''1'''
      if format_for_conversion == "s16le":
            __snake_case      :    int  			=2
      elif format_for_conversion == "f32le":
            __snake_case      :    Any  			=4
      else:
            raise ValueError(f'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`''' )

      __snake_case      :    Any  			=platform.system()
      if system == "Linux":
            __snake_case      :    List[str]  			='''alsa'''
            __snake_case      :    List[Any]  			='''default'''
      elif system == "Darwin":
            __snake_case      :    int  			='''avfoundation'''
            __snake_case      :    List[Any]  			=''':0'''
      elif system == "Windows":
            __snake_case      :    List[str]  			='''dshow'''
            __snake_case      :    Union[str, Any]  			='''default'''

      __snake_case      :    Union[str, Any]  			=[
          '''ffmpeg''',
          '''-f''',
          format_,
          '''-i''',
          input_,
          '''-ac''',
          ac,
          '''-ar''',
          ar,
          '''-f''',
          format_for_conversion,
          '''-fflags''',
          '''nobuffer''',
          '''-hide_banner''',
          '''-loglevel''',
          '''quiet''',
          '''pipe:1''',
      ]
      __snake_case      :    Any  			=int(round(sampling_rate * chunk_length_s ) ) * size_of_sample
      __snake_case      :    str  			=_ffmpeg_stream(_lowercase       ,		_lowercase )
      for item in iterator:
            yield item



def     __lowercase					(    a :				Any       ,		a :				Optional[int]       ,		a :				Union[str, Any] = None       ,		a :				List[Any] = None       ,		a :				str = "f32le"       ,		)					->					List[str]:







      if stream_chunk_s is not None:
            __snake_case      :    Dict  			=stream_chunk_s
      else:
            __snake_case      :    int  			=chunk_length_s

      __snake_case      :    Dict  			=ffmpeg_microphone(_lowercase       ,		_lowercase       ,		format_for_conversion=_lowercase )
      if format_for_conversion == "s16le":
            __snake_case      :    Optional[int]  			=np.intaa
            __snake_case      :    Union[str, Any]  			=2
      elif format_for_conversion == "f32le":
            __snake_case      :    List[Any]  			=np.floataa
            __snake_case      :    Optional[Any]  			=4
      else:
            raise ValueError(f'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`''' )

      if stride_length_s is None:
            __snake_case      :    str  			=chunk_length_s / 6
      __snake_case      :    Any  			=int(round(sampling_rate * chunk_length_s ) ) * size_of_sample
      if isinstance(_lowercase       ,		(int, float) ):
            __snake_case      :    Optional[Any]  			=[stride_length_s, stride_length_s]

      __snake_case      :    Union[str, Any]  			=int(round(sampling_rate * stride_length_s[0] ) ) * size_of_sample
      __snake_case      :    List[Any]  			=int(round(sampling_rate * stride_length_s[1] ) ) * size_of_sample
      __snake_case      :    Optional[int]  			=datetime.datetime.now()
      __snake_case      :    List[str]  			=datetime.timedelta(seconds=_lowercase )
      for item in chunk_bytes_iter(_lowercase       ,		_lowercase       ,		stride=(stride_left, stride_right)       ,		stream=_lowercase ):
            # Put everything back in numpy scale
            __snake_case      :    Dict  			=np.frombuffer(item['''raw''']       ,		dtype=_lowercase )
            __snake_case      :    int  			=(
                item['''stride'''][0] // size_of_sample,
                item['''stride'''][1] // size_of_sample,
            )
            __snake_case      :    Optional[Any]  			=sampling_rate
            audio_time += delta
            if datetime.datetime.now() > audio_time + 10 * delta:
                  # We're late !! SKIP
                  continue
            yield item



def     __lowercase					(    a :				List[Any]       ,		a :				Union[str, Any]       ,		a :				Tuple       ,		a :				List[Any] = False )					->					str:
      __snake_case      :    Any  			=B''''''
      __snake_case			,				__snake_case      :    List[str]  			=stride
      if stride_left + stride_right >= chunk_len:
            raise ValueError(
                f'''Stride needs to be strictly smaller than chunk_len: ({stride_left}, {stride_right}) vs {chunk_len}''' )
      __snake_case      :    List[Any]  			=0
      for raw in iterator:
            acc += raw
            if stream and len(_lowercase ) < chunk_len:
                  __snake_case      :    Union[str, Any]  			=(_stride_left, 0)
                  yield {"raw": acc[:chunk_len], "stride": stride, "partial": True}
            else:
                  while len(_lowercase ) >= chunk_len:
                        # We are flushing the accumulator
                        __snake_case      :    Any  			=(_stride_left, stride_right)
                        __snake_case      :    Union[str, Any]  			={'''raw''': acc[:chunk_len], '''stride''': stride}
                        if stream:
                              __snake_case      :    Optional[int]  			=False
                        yield item
                        __snake_case      :    Union[str, Any]  			=stride_left
                        __snake_case      :    List[str]  			=acc[chunk_len - stride_left - stride_right :]
    # Last chunk
      if len(_lowercase ) > stride_left:
            __snake_case      :    List[str]  			={'''raw''': acc, '''stride''': (_stride_left, 0)}
            if stream:
                  __snake_case      :    str  			=False
            yield item



def     __lowercase					(    a :				Union[str, Any]       ,		a :				Union[str, Any] )					->					Any:
      __snake_case      :    Dict  			=2**24  # 16Mo
      try:
            with subprocess.Popen(_lowercase       ,		stdout=subprocess.PIPE       ,		bufsize=_lowercase ) as ffmpeg_process:
                  while True:
                        __snake_case      :    List[str]  			=ffmpeg_process.stdout.read(_lowercase )
                        if raw == b"":
                              break
                        yield raw
      except FileNotFoundError as error:
            raise ValueError('''ffmpeg was not found but is required to stream audio files from filename''' ) from error










"""simple docstring"""





import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class      _lowercase (     lowerCAmelCase		,  unittest.TestCase						):
      _a   :     List[str]								=   MgpstrTokenizer
      _a   :     int								=   False
      _a   :     List[str]								=   {}
      _a   :     Optional[Any]								=   False


      def _UpperCamelCase						(    self				:	str						):





            """simple docstring"""







            super().setUp()

            # fmt: off
            __snake_case      :    Union[str, Any]  			=['''[GO]''', '''[s]''', '''0''', '''1''', '''2''', '''3''', '''4''', '''5''', '''6''', '''7''', '''8''', '''9''', '''a''', '''b''', '''c''', '''d''', '''e''', '''f''', '''g''', '''h''', '''i''', '''j''', '''k''', '''l''', '''m''', '''n''', '''o''', '''p''', '''q''', '''r''', '''s''', '''t''', '''u''', '''v''', '''w''', '''x''', '''y''', '''z''']
            # fmt: on
            __snake_case      :    Optional[Any]  			=dict(zip(a							,   range(len(a						)						)						)						)

            __snake_case      :    int  			=os.path.join(self.tmpdirname							,   VOCAB_FILES_NAMES['''vocab_file''']						)
            with open(self.vocab_file							,   '''w'''							,   encoding='''utf-8'''						) as fp:
                  fp.write(json.dumps(a						) + '''\n'''						)


      def _UpperCamelCase						(    self				:	Any							,   **a				:	int						):





            """simple docstring"""







            return MgpstrTokenizer.from_pretrained(self.tmpdirname							,   **a						)


      def _UpperCamelCase						(    self				:	int							,   a				:	Any						):





            """simple docstring"""







            __snake_case      :    Dict  			='''tester'''
            __snake_case      :    str  			='''tester'''
            return input_text, output_text


      @unittest.skip('''MGP-STR always lower cases letters.'''						)
      def _UpperCamelCase						(    self				:	Any						):





            """simple docstring"""







            pass


      def _UpperCamelCase						(    self				:	Any						):





            """simple docstring"""







            __snake_case      :    List[Any]  			=self.get_tokenizers(do_lower_case=a						)
            for tokenizer in tokenizers:
                  with self.subTest(f'''{tokenizer.__class__.__name__}'''						):
                        __snake_case      :    List[Any]  			='''[SPECIAL_TOKEN]'''

                        tokenizer.add_special_tokens({'''cls_token''': special_token}						)
                        __snake_case      :    Tuple  			=tokenizer.encode([special_token]							,   add_special_tokens=a						)
                        self.assertEqual(len(a						)							,   1						)

                        __snake_case      :    int  			=tokenizer.decode(a							,   skip_special_tokens=a						)
                        self.assertTrue(special_token not in decoded						)


      def _UpperCamelCase						(    self				:	Tuple						):





            """simple docstring"""







            __snake_case      :    Union[str, Any]  			=self.get_tokenizers()
            for tokenizer in tokenizers:
                  with self.subTest(f'''{tokenizer.__class__.__name__}'''						):
                        __snake_case			,				__snake_case      :    Tuple  			=self.get_input_output_texts(a						)

                        __snake_case      :    int  			=tokenizer.tokenize(a						)
                        __snake_case      :    str  			=tokenizer.convert_tokens_to_ids(a						)
                        __snake_case      :    Union[str, Any]  			=tokenizer.encode(a							,   add_special_tokens=a						)
                        self.assertListEqual(a							,   a						)

                        __snake_case      :    Tuple  			=tokenizer.convert_ids_to_tokens(a						)
                        self.assertNotEqual(len(a						)							,   0						)
                        __snake_case      :    Optional[Any]  			=tokenizer.decode(a						)
                        self.assertIsInstance(a							,   a						)

                        self.assertEqual(text_a.replace(''' '''							,   ''''''						)							,   a						)


      @unittest.skip('''MGP-STR tokenizer only handles one sequence.'''						)
      def _UpperCamelCase						(    self				:	List[Any]						):





            """simple docstring"""







            pass







      @unittest.skip('''inputs cannot be pretokenized in MgpstrTokenizer'''						)
      def _UpperCamelCase						(    self				:	List[str]						):





            """simple docstring"""







            pass


