






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

import numpy as np




def      __A					(     _lowercase					,			_lowercase ):

					'''simple docstring'''







					_A								= f"""{sampling_rate}"""
					_A								= '''1'''
					_A								= '''f32le'''
					_A								= [
					    '''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:
															_A								= 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
					_A								= output_stream[0]
					_A								= np.frombuffer(_lowercase					,			np.floataa )
					if audio.shape[0] == 0:
										raise ValueError('''Malformed soundfile''' )
					return audio




def      __A					(     _lowercase					,			_lowercase					,			_lowercase = "f32le"					,			):

					'''simple docstring'''







					_A								= f"""{sampling_rate}"""
					_A								= '''1'''
					if format_for_conversion == "s16le":
										_A								= 2
					elif format_for_conversion == "f32le":
										_A								= 4
					else:
										raise ValueError(f"""Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`""" )

					_A								= platform.system()
					if system == "Linux":
										_A								= '''alsa'''
										_A								= '''default'''
					elif system == "Darwin":
										_A								= '''avfoundation'''
										_A								= ''':0'''
					elif system == "Windows":
										_A								= '''dshow'''
										_A								= '''default'''

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




def      __A					(     _lowercase					,			_lowercase					,			_lowercase = None					,			_lowercase = None					,			_lowercase = "f32le"					,			):

					'''simple docstring'''







					if stream_chunk_s is not None:
										_A								= stream_chunk_s
					else:
										_A								= chunk_length_s

					_A								= ffmpeg_microphone(_lowercase					,			_lowercase					,			format_for_conversion=_lowercase )
					if format_for_conversion == "s16le":
										_A								= np.intaa
										_A								= 2
					elif format_for_conversion == "f32le":
										_A								= np.floataa
										_A								= 4
					else:
										raise ValueError(f"""Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`""" )

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

					_A								= int(round(sampling_rate * stride_length_s[0] ) ) * size_of_sample
					_A								= int(round(sampling_rate * stride_length_s[1] ) ) * size_of_sample
					_A								= datetime.datetime.now()
					_A								= 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
										_A								= np.frombuffer(item['''raw''']					,			dtype=_lowercase )
										_A								= (
										    item['''stride'''][0] // size_of_sample,
										    item['''stride'''][1] // size_of_sample,
										)
										_A								= sampling_rate
										audio_time += delta
										if datetime.datetime.now() > audio_time + 10 * delta:
															# We're late !! SKIP
															continue
										yield item




def      __A					(     _lowercase					,			_lowercase					,			_lowercase					,			_lowercase = False ):

					'''simple docstring'''







					_A								= b''''''
					_A							,_A								= 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}""" )
					_A								= 0
					for raw in iterator:
										acc += raw
										if stream and len(_lowercase ) < chunk_len:
															_A								= (_stride_left, 0)
															yield {"raw": acc[:chunk_len], "stride": stride, "partial": True}
										else:
															while len(_lowercase ) >= chunk_len:
																				# We are flushing the accumulator
																				_A								= (_stride_left, stride_right)
																				_A								= {'''raw''': acc[:chunk_len], '''stride''': stride}
																				if stream:
																									_A								= False
																				yield item
																				_A								= stride_left
																				_A								= acc[chunk_len - stride_left - stride_right :]
    # Last chunk
					if len(_lowercase ) > stride_left:
										_A								= {'''raw''': acc, '''stride''': (_stride_left, 0)}
										if stream:
															_A								= False
										yield item




def      __A					(     _lowercase					,			_lowercase ):

					'''simple docstring'''







					_A								= 2**24  # 16Mo
					try:
										with subprocess.Popen(_lowercase					,			stdout=subprocess.PIPE					,			bufsize=_lowercase ) as ffmpeg_process:
															while True:
																				_A								= 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











import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


__A      =				'\\n    Text data.\n    Second line of data.'

__A      =				'file'




@pytest.fixture(scope='''session''' )
def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= tmp_path_factory.mktemp('''data''' ) / (FILE_PATH + '''.zstd''')
					_A								= bytes(_lowercase					,			'''utf-8''' )
					with zstd.open(_lowercase					,			'''wb''' ) as f:
										f.write(_lowercase )
					return path




@pytest.fixture
def      __A					(     _lowercase ):

					'''simple docstring'''







					with open(os.path.join(tmpfs.local_root_dir					,			_lowercase )					,			'''w''' ) as f:
										f.write(_lowercase )
					return FILE_PATH




@pytest.mark.parametrize('''compression_format'''					,			['''gzip''', '''xz''', '''zstd'''] )
def      __A					(     _lowercase					,			_lowercase					,			_lowercase					,			_lowercase					,			_lowercase					,			_lowercase ):

					'''simple docstring'''







					_A								= {'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_path}
					_A								= input_paths[compression_format]
					_A								= tmp_path / '''cache'''
					_A								= DownloadConfig(cache_dir=_lowercase					,			extract_compressed_file=_lowercase )
					_A								= cached_path(_lowercase					,			download_config=_lowercase )
					with open(_lowercase ) as f:
										_A								= f.read()
					with open(_lowercase ) as f:
										_A								= f.read()
					assert extracted_file_content == expected_file_content




@pytest.mark.parametrize('''default_extracted'''					,			[True, False] )
@pytest.mark.parametrize('''default_cache_dir'''					,			[True, False] )
def      __A					(     _lowercase					,			_lowercase					,			_lowercase					,			_lowercase					,			_lowercase ):

					'''simple docstring'''







					_A								= '''custom_cache'''
					_A								= '''custom_extracted_dir'''
					_A								= tmp_path / '''custom_extracted_path'''
					if default_extracted:
										_A								= ('''downloads''' if default_cache_dir else custom_cache_dir, '''extracted''')
					else:
										monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_DIR'''					,			_lowercase )
										monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''					,			str(_lowercase ) )
										_A								= custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

					_A								= xz_file
					_A								= (
					    DownloadConfig(extract_compressed_file=_lowercase )
					    if default_cache_dir
					    else DownloadConfig(cache_dir=tmp_path / custom_cache_dir					,			extract_compressed_file=_lowercase )
					)
					_A								= cached_path(_lowercase					,			download_config=_lowercase )
					assert Path(_lowercase ).parent.parts[-2:] == expected




def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= str(Path(_lowercase ).resolve() )
					assert cached_path(_lowercase ) == text_file
					# relative path
					_A								= str(Path(_lowercase ).resolve().relative_to(Path(os.getcwd() ) ) )
					assert cached_path(_lowercase ) == text_file




def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= str(tmp_path.resolve() / '''__missing_file__.txt''' )
					with pytest.raises(_lowercase ):
										cached_path(_lowercase )
					# relative path
					_A								= '''./__missing_file__.txt'''
					with pytest.raises(_lowercase ):
										cached_path(_lowercase )




def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= get_from_cache(f"""tmp://{tmpfs_file}""" )
					with open(_lowercase ) as f:
										_A								= f.read()
					assert output_file_content == FILE_CONTENT




@patch('''datasets.config.HF_DATASETS_OFFLINE'''					,			_lowercase )
def      __A					(     ):

					'''simple docstring'''







					with pytest.raises(_lowercase ):
										cached_path('''https://huggingface.co''' )




@patch('''datasets.config.HF_DATASETS_OFFLINE'''					,			_lowercase )
def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= tmp_path_factory.mktemp('''data''' ) / '''file.html'''
					with pytest.raises(_lowercase ):
										http_get('''https://huggingface.co'''					,			temp_file=_lowercase )
					with pytest.raises(_lowercase ):
										http_head('''https://huggingface.co''' )




@patch('''datasets.config.HF_DATASETS_OFFLINE'''					,			_lowercase )
def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= tmp_path_factory.mktemp('''data''' ) / '''file.html'''
					with pytest.raises(_lowercase ):
										ftp_get('''ftp://huggingface.co'''					,			temp_file=_lowercase )
					with pytest.raises(_lowercase ):
										ftp_head('''ftp://huggingface.co''' )




@patch('''datasets.config.HF_DATASETS_OFFLINE'''					,			_lowercase )
def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= tmp_path_factory.mktemp('''data''' ) / '''file.html'''
					with pytest.raises(_lowercase ):
										fsspec_get('''s3://huggingface.co'''					,			temp_file=_lowercase )
					with pytest.raises(_lowercase ):
										fsspec_head('''s3://huggingface.co''' )



