


from typing import Dict, List, Optional, Union

import numpy as np

from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
    center_crop,
    convert_to_rgb,
    get_resize_output_image_size,
    normalize,
    rescale,
    resize,
    to_channel_dimension_format,
)
from ...image_utils import (
    OPENAI_CLIP_MEAN,
    OPENAI_CLIP_STD,
    ChannelDimension,
    ImageInput,
    PILImageResampling,
    make_list_of_images,
    to_numpy_array,
    valid_images,
)
from ...utils import TensorType, is_vision_available, logging


snake_case							:	List[str]					      =				logging.get_logger(__name__)


if is_vision_available():
						import PIL







class 	snake_case_       (lowerCamelCase_				):
					UpperCAmelCase__ :   int   				=      ['''pixel_values''']
					def __init__(				self       :List[Any]      ,__snake_case       :bool = True      ,__snake_case       :Dict[str, int] = None      ,__snake_case       :PILImageResampling = PILImageResampling.BICUBIC      ,__snake_case       :bool = True      ,__snake_case       :Dict[str, int] = None      ,__snake_case       :bool = True      ,__snake_case       :Union[int, float] = 1 / 2_55      ,__snake_case       :bool = True      ,__snake_case       :Optional[Union[float, List[float]]] = None      ,__snake_case       :Optional[Union[float, List[float]]] = None      ,__snake_case       :bool = True      ,**__snake_case       :Optional[Any]      ,) ->   None:
												super().__init__(**__snake_case				)
												a__					=					size if size is not None else {'shortest_edge': 2_24}
												a__					=					get_size_dict(__snake_case      ,default_to_square=__snake_case				)
												a__					=					crop_size if crop_size is not None else {'height': 2_24, 'width': 2_24}
												a__					=					get_size_dict(__snake_case      ,default_to_square=__snake_case      ,param_name='crop_size'				)

												a__					=					do_resize
												a__					=					size
												a__					=					resample
												a__					=					do_center_crop
												a__					=					crop_size
												a__					=					do_rescale
												a__					=					rescale_factor
												a__					=					do_normalize
												a__					=					image_mean if image_mean is not None else OPENAI_CLIP_MEAN
												a__					=					image_std if image_std is not None else OPENAI_CLIP_STD
												a__					=					do_convert_rgb
					def 			lowerCamelCase__(				self       :int      ,__snake_case       :np.ndarray      ,__snake_case       :Dict[str, int]      ,__snake_case       :PILImageResampling = PILImageResampling.BICUBIC      ,__snake_case       :Optional[Union[str, ChannelDimension]] = None      ,**__snake_case       :Union[str, Any]      ,) ->   np.ndarray:
												a__					=					get_size_dict(__snake_case      ,default_to_square=__snake_case				)
												if "shortest_edge" not in size:
																			raise ValueError(F'The `size` parameter must contain the key `shortest_edge`. Got {size.keys()}'				)
												a__					=					get_resize_output_image_size(__snake_case      ,size=size['shortest_edge']      ,default_to_square=__snake_case				)
												return resize(__snake_case      ,size=__snake_case      ,resample=__snake_case      ,data_format=__snake_case      ,**__snake_case				)
					def 			lowerCamelCase__(				self       :Optional[Any]      ,__snake_case       :np.ndarray      ,__snake_case       :Dict[str, int]      ,__snake_case       :Optional[Union[str, ChannelDimension]] = None      ,**__snake_case       :Optional[Any]      ,) ->   np.ndarray:
												a__					=					get_size_dict(__snake_case				)
												if "height" not in size or "width" not in size:
																			raise ValueError(F'The `size` parameter must contain the keys (height, width). Got {size.keys()}'				)
												return center_crop(__snake_case      ,size=(size['height'], size['width'])      ,data_format=__snake_case      ,**__snake_case				)
					def 			lowerCamelCase__(				self       :List[Any]      ,__snake_case       :np.ndarray      ,__snake_case       :Union[int, float]      ,__snake_case       :Optional[Union[str, ChannelDimension]] = None      ,**__snake_case       :List[Any]      ,) ->   List[Any]:
												return rescale(__snake_case      ,scale=__snake_case      ,data_format=__snake_case      ,**__snake_case				)
					def 			lowerCamelCase__(				self       :int      ,__snake_case       :np.ndarray      ,__snake_case       :Union[float, List[float]]      ,__snake_case       :Union[float, List[float]]      ,__snake_case       :Optional[Union[str, ChannelDimension]] = None      ,**__snake_case       :List[str]      ,) ->   np.ndarray:
												return normalize(__snake_case      ,mean=__snake_case      ,std=__snake_case      ,data_format=__snake_case      ,**__snake_case				)



					def 			lowerCamelCase__(				self       :Dict      ,__snake_case       :ImageInput      ,__snake_case       :bool = None      ,__snake_case       :Dict[str, int] = None      ,__snake_case       :PILImageResampling = None      ,__snake_case       :bool = None      ,__snake_case       :int = None      ,__snake_case       :bool = None      ,__snake_case       :float = None      ,__snake_case       :bool = None      ,__snake_case       :Optional[Union[float, List[float]]] = None      ,__snake_case       :Optional[Union[float, List[float]]] = None      ,__snake_case       :bool = None      ,__snake_case       :Optional[Union[str, TensorType]] = None      ,__snake_case       :Optional[ChannelDimension] = ChannelDimension.FIRST      ,**__snake_case       :Union[str, Any]      ,) ->   PIL.Image.Image:
												a__					=					do_resize if do_resize is not None else self.do_resize
												a__					=					size if size is not None else self.size
												a__					=					get_size_dict(__snake_case      ,param_name='size'      ,default_to_square=__snake_case				)
												a__					=					resample if resample is not None else self.resample
												a__					=					do_center_crop if do_center_crop is not None else self.do_center_crop
												a__					=					crop_size if crop_size is not None else self.crop_size
												a__					=					get_size_dict(__snake_case      ,param_name='crop_size'      ,default_to_square=__snake_case				)
												a__					=					do_rescale if do_rescale is not None else self.do_rescale
												a__					=					rescale_factor if rescale_factor is not None else self.rescale_factor
												a__					=					do_normalize if do_normalize is not None else self.do_normalize
												a__					=					image_mean if image_mean is not None else self.image_mean
												a__					=					image_std if image_std is not None else self.image_std
												a__					=					do_convert_rgb if do_convert_rgb is not None else self.do_convert_rgb

												a__					=					make_list_of_images(__snake_case				)

												if not valid_images(__snake_case				):
																			raise ValueError(
																			    'Invalid image type. Must be of type PIL.Image.Image, numpy.ndarray, '
																			    'torch.Tensor, tf.Tensor or jax.ndarray.'				)

												if do_resize and size is None:
																			raise ValueError('Size must be specified if do_resize is True.'				)

												if do_center_crop and crop_size is None:
																			raise ValueError('Crop size must be specified if do_center_crop is True.'				)

												if do_rescale and rescale_factor is None:
																			raise ValueError('Rescale factor must be specified if do_rescale is True.'				)

												if do_normalize and (image_mean is None or image_std is None):
																			raise ValueError('Image mean and std must be specified if do_normalize is True.'				)

												# PIL RGBA images are converted to RGB
												if do_convert_rgb:
																			a__					=					[convert_to_rgb(__snake_case				) for image in images]

												# All transformations expect numpy arrays.
												a__					=					[to_numpy_array(__snake_case				) for image in images]

												if do_resize:
																			a__					=					[self.resize(image=__snake_case      ,size=__snake_case      ,resample=__snake_case				) for image in images]

												if do_center_crop:
																			a__					=					[self.center_crop(image=__snake_case      ,size=__snake_case				) for image in images]

												if do_rescale:
																			a__					=					[self.rescale(image=__snake_case      ,scale=__snake_case				) for image in images]

												if do_normalize:
																			a__					=					[self.normalize(image=__snake_case      ,mean=__snake_case      ,std=__snake_case				) for image in images]

												a__					=					[to_channel_dimension_format(__snake_case      ,__snake_case				) for image in images]

												a__					=					{'pixel_values': images}
												return BatchFeature(data=__snake_case      ,tensor_type=__snake_case				)








import inspect
import os
import unittest
from pathlib import Path

import torch

import accelerate
from accelerate.test_utils import execute_subprocess_async
from accelerate.test_utils.testing import run_command







class 	snake_case_       (unittest.TestCase				):
					UpperCAmelCase__ :   Optional[Any]   				=      inspect.getfile(accelerate.test_utils				)
					UpperCAmelCase__ :   Tuple   				=      os.path.sep.join(mod_file.split(os.path.sep				)[:-1] + ['''scripts''', '''test_cli.py''']				)

					UpperCAmelCase__ :   Optional[int]   				=      ['''accelerate''', '''launch''']
					UpperCAmelCase__ :   List[str]   				=      Path.home() / '''.cache/huggingface/accelerate'''
					UpperCAmelCase__ :   Union[str, Any]   				=      '''default_config.yaml'''
					UpperCAmelCase__ :   List[Any]   				=      config_folder / config_file
					UpperCAmelCase__ :   Optional[int]   				=      config_folder / '''_default_config.yaml'''

					UpperCAmelCase__ :   int   				=      Path('''tests/test_configs'''				)
					@classmethod
					def 			lowerCamelCase__(				cls       :Any				) ->   int:
												if cls.config_path.is_file():
																			cls.config_path.rename(cls.changed_path				)
					@classmethod
					def 			lowerCamelCase__(				cls       :Dict				) ->   Union[str, Any]:
												if cls.changed_path.is_file():
																			cls.changed_path.rename(cls.config_path				)
					def 			lowerCamelCase__(				self       :Any				) ->   Optional[int]:
												a__					=					self.base_cmd
												if torch.cuda.is_available() and (torch.cuda.device_count() > 1):
																			cmd += ["--multi_gpu"]
												execute_subprocess_async(cmd + [self.test_file_path]      ,env=os.environ.copy()				)
					def 			lowerCamelCase__(				self       :str				) ->   List[Any]:
												for config in sorted(self.test_config_path.glob('**/*.yaml'				)				):
																			with self.subTest(config_file=__snake_case				):
																										execute_subprocess_async(
																										    self.base_cmd + ['--config_file', str(__snake_case				), self.test_file_path]      ,env=os.environ.copy()				)



					def 			lowerCamelCase__(				self       :int				) ->   List[str]:
												execute_subprocess_async(['accelerate', 'test']      ,env=os.environ.copy()				)







class 	snake_case_       (unittest.TestCase				):
					UpperCAmelCase__ :   List[Any]   				=      '''test-tpu'''
					UpperCAmelCase__ :   str   				=      '''us-central1-a'''
					UpperCAmelCase__ :   Optional[Any]   				=      '''ls'''
					UpperCAmelCase__ :   Optional[int]   				=      ['''accelerate''', '''tpu-config''']
					UpperCAmelCase__ :   Any   				=      '''cd /usr/share'''
					UpperCAmelCase__ :   Tuple   				=      '''tests/test_samples/test_command_file.sh'''
					UpperCAmelCase__ :   List[Any]   				=      '''Running gcloud compute tpus tpu-vm ssh'''
					def 			lowerCamelCase__(				self       :Optional[Any]				) ->   Tuple:
												a__					=					run_command(
												    self.cmd
												    + ['--command', self.command, '--tpu_zone', self.tpu_zone, '--tpu_name', self.tpu_name, '--debug']      ,return_stdout=__snake_case      ,)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'      ,__snake_case      ,)
					def 			lowerCamelCase__(				self       :int				) ->   str:
												a__					=					run_command(
												    self.cmd
												    + [
												        '--config_file',
												        'tests/test_configs/0_12_0.yaml',
												        '--command',
												        self.command,
												        '--tpu_zone',
												        self.tpu_zone,
												        '--tpu_name',
												        self.tpu_name,
												        '--debug',
												    ]      ,return_stdout=__snake_case      ,)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'      ,__snake_case      ,)
					def 			lowerCamelCase__(				self       :Any				) ->   Dict:
												a__					=					run_command(
												    self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--debug']      ,return_stdout=__snake_case				)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo "hello world"; echo "this is a second command" --worker all'      ,__snake_case      ,)
					def 			lowerCamelCase__(				self       :Tuple				) ->   str:
												a__					=					run_command(
												    self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--command', self.command, '--debug']      ,return_stdout=__snake_case      ,)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'      ,__snake_case      ,)
					def 			lowerCamelCase__(				self       :Dict				) ->   int:
												a__					=					run_command(
												    self.cmd
												    + [
												        '--config_file',
												        'tests/test_configs/latest.yaml',
												        '--command',
												        self.command,
												        '--command',
												        'echo "Hello World"',
												        '--debug',
												    ]      ,return_stdout=__snake_case      ,)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls; echo "Hello World" --worker all'      ,__snake_case      ,)
					def 			lowerCamelCase__(				self       :Union[str, Any]				) ->   List[Any]:
												a__					=					run_command(
												    self.cmd
												    + ['--config_file', 'tests/test_configs/latest.yaml', '--command_file', self.command_file, '--debug']      ,return_stdout=__snake_case      ,)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo "hello world"; echo "this is a second command" --worker all'      ,__snake_case      ,)
					def 			lowerCamelCase__(				self       :int				) ->   int:
												a__					=					run_command(
												    self.cmd
												    + [
												        '--config_file',
												        'tests/test_configs/0_12_0.yaml',
												        '--command_file',
												        self.command_file,
												        '--tpu_zone',
												        self.tpu_zone,
												        '--tpu_name',
												        self.tpu_name,
												        '--debug',
												    ]      ,return_stdout=__snake_case      ,)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo "hello world"; echo "this is a second command" --worker all'      ,__snake_case      ,)
					def 			lowerCamelCase__(				self       :Union[str, Any]				) ->   List[Any]:
												a__					=					run_command(
												    self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--install_accelerate', '--debug']      ,return_stdout=__snake_case      ,)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate -U; echo "hello world"; echo "this is a second command" --worker all'      ,__snake_case      ,)



					def 			lowerCamelCase__(				self       :Any				) ->   Optional[int]:
												a__					=					run_command(
												    self.cmd
												    + [
												        '--config_file',
												        'tests/test_configs/latest.yaml',
												        '--install_accelerate',
												        '--accelerate_version',
												        '12.0.0',
												        '--debug',
												    ]      ,return_stdout=__snake_case      ,)
												self.assertIn(
												    F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate==12.0.0; echo "hello world"; echo "this is a second command" --worker all'      ,__snake_case      ,)




