




'''simple docstring'''

import functools
import operator

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase_     		= logging.get_logger(__name__)

lowercase_     		= {
    "microsoft/unispeech-sat-base-100h-libri-ft": (
        "https://huggingface.co/microsoft/unispeech-sat-base-100h-libri-ft/resolve/main/config.json"
    ),
    # See all UniSpeechSat models at https://huggingface.co/models?filter=unispeech_sat
}
class   SCREAMING_SNAKE_CASE			(						_lowerCamelCase):







		"""simple docstring"""
		lowercase   :      Union[str, Any]       =							'unispeech-sat'






		def __init__(   self		,						__A=32		,						__A=768		,						__A=12		,						__A=12		,						__A=3072		,						__A="gelu"		,						__A=0.1		,						__A=0.1		,						__A=0.1		,						__A=0.0		,						__A=0.0		,						__A=0.1		,						__A=0.1		,						__A=0.02		,						__A=1E-5		,						__A="group"		,						__A="gelu"		,						__A=(512, 512, 512, 512, 512, 512, 512)		,						__A=(5, 2, 2, 2, 2, 2, 2)		,						__A=(10, 3, 3, 3, 3, 2, 2)		,						__A=False		,						__A=128		,						__A=16		,						__A=False		,						__A=True		,						__A=0.05		,						__A=10		,						__A=2		,						__A=0.0		,						__A=10		,						__A=0		,						__A=320		,						__A=2		,						__A=0.1		,						__A=100		,						__A=256		,						__A=256		,						__A=0.1		,						__A="mean"		,						__A=False		,						__A=False		,						__A=256		,						__A=(512, 512, 512, 512, 1500)		,						__A=(5, 3, 3, 1, 1)		,						__A=(1, 2, 3, 1, 1)		,						__A=512		,						__A=0		,						__A=1		,						__A=2		,						__A=504		,						**__A		,						) ->     List[str]:
								super().__init__(**A__		,						pad_token_id=A__		,						bos_token_id=A__		,						eos_token_id=A__				)
								_lowerCAmelCase										=hidden_size
								_lowerCAmelCase										=feat_extract_norm
								_lowerCAmelCase										=feat_extract_activation
								_lowerCAmelCase										=list(A__				)
								_lowerCAmelCase										=list(A__				)
								_lowerCAmelCase										=list(A__				)
								_lowerCAmelCase										=conv_bias
								_lowerCAmelCase										=num_conv_pos_embeddings
								_lowerCAmelCase										=num_conv_pos_embedding_groups
								_lowerCAmelCase										=len(self.conv_dim				)
								_lowerCAmelCase										=num_hidden_layers
								_lowerCAmelCase										=intermediate_size
								_lowerCAmelCase										=hidden_act
								_lowerCAmelCase										=num_attention_heads
								_lowerCAmelCase										=hidden_dropout
								_lowerCAmelCase										=attention_dropout
								_lowerCAmelCase										=activation_dropout
								_lowerCAmelCase										=feat_proj_dropout
								_lowerCAmelCase										=final_dropout
								_lowerCAmelCase										=layerdrop
								_lowerCAmelCase										=layer_norm_eps
								_lowerCAmelCase										=initializer_range
								_lowerCAmelCase										=vocab_size
								_lowerCAmelCase										=num_clusters
								_lowerCAmelCase										=do_stable_layer_norm
								_lowerCAmelCase										=use_weighted_layer_sum

								if (
								    (len(self.conv_stride				) != self.num_feat_extract_layers)
								    or (len(self.conv_kernel				) != self.num_feat_extract_layers)
								    or (len(self.conv_dim				) != self.num_feat_extract_layers)
								):
														raise ValueError(
														    'Configuration for convolutional layers is incorrect. It is required that `len(config.conv_dim)` =='
														    ' `len(config.conv_stride)` == `len(config.conv_kernel)`, but is `len(config.conv_dim) ='
														    F''' {len(self.conv_dim				)}`, `len(config.conv_stride) = {len(self.conv_stride				)}`,'''
														    F''' `len(config.conv_kernel) = {len(self.conv_kernel				)}`.'''				)

								# fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
								_lowerCAmelCase										=apply_spec_augment
								_lowerCAmelCase										=mask_time_prob
								_lowerCAmelCase										=mask_time_length
								_lowerCAmelCase										=mask_time_min_masks
								_lowerCAmelCase										=mask_feature_prob
								_lowerCAmelCase										=mask_feature_length
								_lowerCAmelCase										=mask_feature_min_masks

								# parameters for pretraining with codevector quantized representations
								_lowerCAmelCase										=num_codevectors_per_group
								_lowerCAmelCase										=num_codevector_groups
								_lowerCAmelCase										=contrastive_logits_temperature
								_lowerCAmelCase										=feat_quantizer_dropout
								_lowerCAmelCase										=num_negatives
								_lowerCAmelCase										=codevector_dim
								_lowerCAmelCase										=proj_codevector_dim
								_lowerCAmelCase										=diversity_loss_weight

								# ctc loss
								_lowerCAmelCase										=ctc_loss_reduction
								_lowerCAmelCase										=ctc_zero_infinity

								# SequenceClassification-specific parameter. Feel free to ignore for other classes.
								_lowerCAmelCase										=classifier_proj_size

								# XVector-specific parameters. Feel free to ignore for other classes.
								_lowerCAmelCase										=list(A__				)
								_lowerCAmelCase										=list(A__				)
								_lowerCAmelCase										=list(A__				)
								_lowerCAmelCase										=xvector_output_dim






		@property
		def 		UpperCamelCase__       (   self				) ->     Dict:
								return functools.reduce(operator.mul		,						self.conv_stride		,						1				)






'''simple docstring'''

from PIL import Image



def 							UpperCamelCase__			(			a__			,      a__      ):


						'''simple docstring'''






						def brightness(a__      ) -> float:
												return 1_2_8 + level + (c - 1_2_8)

						if not -255.0 <= level <= 255.0:
												raise ValueError('level must be between -255.0 (black) and 255.0 (white)'      )
						return img.point(a__      )


if __name__ == "__main__":
							# Load image
							with Image.open('''image_data/lena.jpg''') as img:
														# Change brightness to 100
														lowercase_     		= change_brightness(img, 100)
														brigt_img.save('''image_data/lena_brightness.png''', format='''png''')





