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

import numpy as np






def 				UpperCAmelCase_						(				__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE				):
	lowercase	    =       F'''{sampling_rate}'''
	lowercase	    =       '1'
	lowercase	    =       'f32le'
	lowercase	    =       [
	    'ffmpeg',
	    '-i',
	    'pipe:0',
	    '-ac',
	    ac,
	    '-ar',
	    ar,
	    '-f',
	    format_for_conversion,
	    '-hide_banner',
	    '-loglevel',
	    'quiet',
	    'pipe:1',
	]

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






def 				UpperCAmelCase_						(				__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE = "f32le"					,				):
	lowercase	    =       F'''{sampling_rate}'''
	lowercase	    =       '1'
	if format_for_conversion == "s16le":
		lowercase	    =       2
	elif format_for_conversion == "f32le":
		lowercase	    =       4
	else:
		raise ValueError(F'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'''				)

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

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






def 				UpperCAmelCase_						(				__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE = None					,				__SCREAMING_SNAKE_CASE = None					,				__SCREAMING_SNAKE_CASE = "f32le"					,				):
	if stream_chunk_s is not None:
		lowercase	    =       stream_chunk_s
	else:
		lowercase	    =       chunk_length_s

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

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

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






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






def 				UpperCAmelCase_						(				__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE				):
	lowercase	    =       2**24  # 16Mo
	try:
		with subprocess.Popen(__SCREAMING_SNAKE_CASE					,				stdout=subprocess.PIPE					,				bufsize=__SCREAMING_SNAKE_CASE				) as ffmpeg_process:
			while True:
				lowercase	    =       ffmpeg_process.stdout.read(__SCREAMING_SNAKE_CASE				)
				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 os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


A_    							=					namedtuple(
    """_TestCommandArgs""",
    [
        """dataset""",
        """name""",
        """cache_dir""",
        """data_dir""",
        """all_configs""",
        """save_infos""",
        """ignore_verifications""",
        """force_redownload""",
        """clear_cache""",
    ],
    defaults=[None, None, None, False, False, False, False, False],
)






def  lowercase						(	lowerCAmelCase__	,lowerCAmelCase__						):
			return (abs(source - target						) / target) < 0.01






@pytest.mark.integration
def  lowercase						(	lowerCAmelCase__						):
			lowerCamelCase_					=  _TestCommandArgs(dataset=lowerCAmelCase__	,all_configs=lowerCAmelCase__	,save_infos=lowerCAmelCase__						)
			lowerCamelCase_					=  TestCommand(*lowerCAmelCase__						)
			test_command.run()
			lowerCamelCase_					=  os.path.join(lowerCAmelCase__	,'''README.md'''						)
			assert os.path.exists(lowerCAmelCase__						)
			lowerCamelCase_					=  DatasetInfosDict.from_directory(lowerCAmelCase__						)
			lowerCamelCase_					=  DatasetInfosDict(
			    {
			        '''default''': DatasetInfo(
			            features=Features(
			                {
			                    '''tokens''': Sequence(Value('''string'''						)						),
			                    '''ner_tags''': Sequence(
			                        ClassLabel(names=['''O''', '''B-PER''', '''I-PER''', '''B-ORG''', '''I-ORG''', '''B-LOC''', '''I-LOC''']						)						),
			                    '''langs''': Sequence(Value('''string'''						)						),
			                    '''spans''': Sequence(Value('''string'''						)						),
			                }						)	,splits=[
			                {
			                    '''name''': '''train''',
			                    '''num_bytes''': 2_351_563,
			                    '''num_examples''': 10_000,
			                },
			                {
			                    '''name''': '''validation''',
			                    '''num_bytes''': 238_418,
			                    '''num_examples''': 1_000,
			                },
			            ]	,download_size=3_940_680	,dataset_size=2_589_981	,)
			    }						)
			assert dataset_infos.keys() == expected_dataset_infos.keys()
			for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
						lowerCamelCase_		, lowerCamelCase_					=  getattr(dataset_infos['''default''']	,lowerCAmelCase__						), getattr(expected_dataset_infos['''default''']	,lowerCAmelCase__						)
						if key == "num_bytes":
									assert is_apercent_close(lowerCAmelCase__	,lowerCAmelCase__						)
						elif key == "splits":
									assert list(lowerCAmelCase__						) == list(lowerCAmelCase__						)
									for split in result:
												assert result[split].name == expected[split].name
												assert result[split].num_examples == expected[split].num_examples
												assert is_apercent_close(result[split].num_bytes	,expected[split].num_bytes						)
						else:
									result == expected



