



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

import numpy as np

def        a						(      _UpperCAmelCase							:					bytes ,   _UpperCAmelCase							:					int						):







		'''simple docstring'''





		__UpperCAmelCase    :     Union[str, Any]													=	f'{sampling_rate}'
		__UpperCAmelCase    :     List[Any]													=	'''1'''
		__UpperCAmelCase    :     Union[str, Any]													=	'''f32le'''
		__UpperCAmelCase    :     Any													=	[
		    '''ffmpeg''',
		    '''-i''',
		    '''pipe:0''',
		    '''-ac''',
		    ac,
		    '''-ar''',
		    ar,
		    '''-f''',
		    format_for_conversion,
		    '''-hide_banner''',
		    '''-loglevel''',
		    '''quiet''',
		    '''pipe:1''',
		]

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

def        a						(      _UpperCAmelCase							:					int ,   _UpperCAmelCase							:					float ,   _UpperCAmelCase							:					str = "f32le" ,   ):







		'''simple docstring'''





		__UpperCAmelCase    :     List[Any]													=	f'{sampling_rate}'
		__UpperCAmelCase    :     Union[str, Any]													=	'''1'''
		if format_for_conversion == "s16le":
				__UpperCAmelCase    :     Union[str, Any]													=	2
		elif format_for_conversion == "f32le":
				__UpperCAmelCase    :     Dict													=	4
		else:
				raise ValueError(f'Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'						)

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

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

def        a						(      _UpperCAmelCase							:					int ,   _UpperCAmelCase							:					float ,   _UpperCAmelCase							:					Optional[int] = None ,   _UpperCAmelCase							:					Optional[Union[Tuple[float, float], float]] = None ,   _UpperCAmelCase							:					str = "f32le" ,   ):







		'''simple docstring'''





		if stream_chunk_s is not None:
				__UpperCAmelCase    :     Optional[int]													=	stream_chunk_s
		else:
				__UpperCAmelCase    :     Optional[int]													=	chunk_length_s

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

		if stride_length_s is None:
				__UpperCAmelCase    :     Dict													=	chunk_length_s / 6
		__UpperCAmelCase    :     Any													=	int(round(sampling_rate * chunk_length_s						)						) * size_of_sample
		if isinstance(_UpperCAmelCase ,   (int, float)						):
				__UpperCAmelCase    :     Optional[int]													=	[stride_length_s, stride_length_s]

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

def        a						(      _UpperCAmelCase							:					str ,   _UpperCAmelCase							:					int ,   _UpperCAmelCase							:					Tuple[int, int] ,   _UpperCAmelCase							:					bool = False						):







		'''simple docstring'''





		__UpperCAmelCase    :     List[Any]													=	B''''''
		__UpperCAmelCase							,					__UpperCAmelCase    :     Dict													=	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}'						)
		__UpperCAmelCase    :     List[str]													=	0
		for raw in iterator:
				acc += raw
				if stream and len(_UpperCAmelCase						) < chunk_len:
						__UpperCAmelCase    :     List[Any]													=	(_stride_left, 0)
						yield {"raw": acc[:chunk_len], "stride": stride, "partial": True}
				else:
						while len(_UpperCAmelCase						) >= chunk_len:
								# We are flushing the accumulator
								__UpperCAmelCase    :     Tuple													=	(_stride_left, stride_right)
								__UpperCAmelCase    :     Union[str, Any]													=	{'''raw''': acc[:chunk_len], '''stride''': stride}
								if stream:
										__UpperCAmelCase    :     int													=	False
								yield item
								__UpperCAmelCase    :     int													=	stride_left
								__UpperCAmelCase    :     int													=	acc[chunk_len - stride_left - stride_right :]
    # Last chunk
		if len(_UpperCAmelCase						) > stride_left:
				__UpperCAmelCase    :     Any													=	{'''raw''': acc, '''stride''': (_stride_left, 0)}
				if stream:
						__UpperCAmelCase    :     Tuple													=	False
				yield item

def        a						(      _UpperCAmelCase							:					str ,   _UpperCAmelCase							:					int						):







		'''simple docstring'''





		__UpperCAmelCase    :     Tuple													=	2**24  # 16Mo
		try:
				with subprocess.Popen(_UpperCAmelCase ,   stdout=subprocess.PIPE ,   bufsize=_UpperCAmelCase						) as ffmpeg_process:
						while True:
								__UpperCAmelCase    :     List[str]													=	ffmpeg_process.stdout.read(_UpperCAmelCase						)
								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 glob
import os
import random
from string import ascii_lowercase, digits

import cva
__A   			=""
__A   			=""
__A   			=""
__A   			=1  # (0 is vertical, 1 is horizontal)

def        a						(      ):







		'''simple docstring'''





		__UpperCAmelCase							,					__UpperCAmelCase    :     Union[str, Any]													=	get_dataset(_UpperCAmelCase ,   _UpperCAmelCase						)
		print('''Processing...'''						)
		__UpperCAmelCase							,					__UpperCAmelCase							,					__UpperCAmelCase    :     List[Any]													=	update_image_and_anno(_UpperCAmelCase ,   _UpperCAmelCase ,   _UpperCAmelCase						)

		for index, image in enumerate(_UpperCAmelCase						):
				# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
				__UpperCAmelCase    :     Any													=	random_chars(32						)
				__UpperCAmelCase    :     List[str]													=	paths[index].split(os.sep						)[-1].rsplit('''.''' ,   1						)[0]
				__UpperCAmelCase    :     Optional[Any]													=	f'{OUTPUT_DIR}/{file_name}_FLIP_{letter_code}'
				cva.imwrite(f'/{file_root}.jpg' ,   _UpperCAmelCase ,   [cva.IMWRITE_JPEG_QUALITY, 85]						)
				print(f'Success {index+1}/{len(_UpperCAmelCase						)} with {file_name}'						)
				__UpperCAmelCase    :     Optional[Any]													=	[]
				for anno in new_annos[index]:
						__UpperCAmelCase    :     Union[str, Any]													=	f'{anno[0]} {anno[1]} {anno[2]} {anno[3]} {anno[4]}'
						annos_list.append(_UpperCAmelCase						)
				with open(f'/{file_root}.txt' ,   '''w'''						) as outfile:
						outfile.write('''\n'''.join(line for line in annos_list						)						)

def        a						(      _UpperCAmelCase							:					str ,   _UpperCAmelCase							:					str						):







		'''simple docstring'''





		__UpperCAmelCase    :     Any													=	[]
		__UpperCAmelCase    :     Any													=	[]
		for label_file in glob.glob(os.path.join(_UpperCAmelCase ,   '''*.txt'''						)						):
				__UpperCAmelCase    :     Optional[Any]													=	label_file.split(os.sep						)[-1].rsplit('''.''' ,   1						)[0]
				with open(_UpperCAmelCase						) as in_file:
						__UpperCAmelCase    :     List[str]													=	in_file.readlines()
				__UpperCAmelCase    :     Optional[Any]													=	os.path.join(_UpperCAmelCase ,   f'{label_name}.jpg'						)

				__UpperCAmelCase    :     str													=	[]
				for obj_list in obj_lists:
						__UpperCAmelCase    :     str													=	obj_list.rstrip('''\n'''						).split(''' '''						)
						boxes.append(
						    [
						        int(obj[0]						),
						        float(obj[1]						),
						        float(obj[2]						),
						        float(obj[3]						),
						        float(obj[4]						),
						    ]						)
				if not boxes:
						continue
				img_paths.append(_UpperCAmelCase						)
				labels.append(_UpperCAmelCase						)
		return img_paths, labels

def        a						(      _UpperCAmelCase							:					list ,   _UpperCAmelCase							:					list ,   _UpperCAmelCase							:					int = 1						):







		'''simple docstring'''





		__UpperCAmelCase    :     Dict													=	[]
		__UpperCAmelCase    :     Optional[Any]													=	[]
		__UpperCAmelCase    :     Any													=	[]
		for idx in range(len(_UpperCAmelCase						)						):
				__UpperCAmelCase    :     Tuple													=	[]
				__UpperCAmelCase    :     List[Any]													=	img_list[idx]
				path_list.append(_UpperCAmelCase						)
				__UpperCAmelCase    :     str													=	anno_list[idx]
				__UpperCAmelCase    :     str													=	cva.imread(_UpperCAmelCase						)
				if flip_type == 1:
						__UpperCAmelCase    :     Any													=	cva.flip(_UpperCAmelCase ,   _UpperCAmelCase						)
						for bbox in img_annos:
								__UpperCAmelCase    :     List[str]													=	1 - bbox[1]
								new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]]						)
				elif flip_type == 0:
						__UpperCAmelCase    :     Any													=	cva.flip(_UpperCAmelCase ,   _UpperCAmelCase						)
						for bbox in img_annos:
								__UpperCAmelCase    :     Union[str, Any]													=	1 - bbox[2]
								new_annos.append([bbox[0], bbox[1], y_center_new, bbox[3], bbox[4]]						)
				new_annos_lists.append(_UpperCAmelCase						)
				new_imgs_list.append(_UpperCAmelCase						)
		return new_imgs_list, new_annos_lists, path_list

def        a						(      _UpperCAmelCase							:					int = 32						):







		'''simple docstring'''





		assert number_char > 1, "The number of character should greater than 1"
		__UpperCAmelCase    :     Union[str, Any]													=	ascii_lowercase + digits
		return "".join(random.choice(_UpperCAmelCase						) for _ in range(_UpperCAmelCase						)						)


if __name__ == "__main__":
				main()
				print("DONE ✅")





