import math

import flax.linen as nn
import jax.numpy as jnp






def _lowerCamelCase  (		snake_case     , snake_case     , snake_case = 1     , snake_case = 1     , snake_case = 1.0E4     , snake_case = False     , snake_case = 1.0     , ):
							assert timesteps.ndim == 1, "Timesteps should be a 1d-array"
							assert embedding_dim % 2 == 0, F'Embedding dimension {embedding_dim} should be even'
							_lowerCAmelCase							=							float(embedding_dim // 2  )
							_lowerCAmelCase							=							math.log(max_timescale / min_timescale  ) / (num_timescales - freq_shift)
							_lowerCAmelCase							=							min_timescale * jnp.exp(jnp.arange(snake_case     , dtype=jnp.floataa  ) * -log_timescale_increment  )
							_lowerCAmelCase							=							jnp.expand_dims(snake_case     , 1  ) * jnp.expand_dims(snake_case     , 0  )

							# scale embeddings
							_lowerCAmelCase							=							scale * emb

							if flip_sin_to_cos:
														_lowerCAmelCase							=							jnp.concatenate([jnp.cos(snake_case  ), jnp.sin(snake_case  )]     , axis=1  )
							else:
														_lowerCAmelCase							=							jnp.concatenate([jnp.sin(snake_case  ), jnp.cos(snake_case  )]     , axis=1  )
							_lowerCAmelCase							=							jnp.reshape(snake_case     , [jnp.shape(snake_case  )[0], embedding_dim]  )
							return signal



class        lowerCamelCase__				(   nn.Module				):
			UpperCamelCase__    							=3_2
			UpperCamelCase__    							=jnp.floataa





			@nn.compact
			def __call__(       self	:	Dict  ,  lowercase__	:	int						):
										_lowerCAmelCase							=							nn.Dense(self.time_embed_dim  ,  dtype=self.dtype  ,  name='linear_1'						)(lowercase__						)
										_lowerCAmelCase							=							nn.silu(lowercase__						)
										_lowerCAmelCase							=							nn.Dense(self.time_embed_dim  ,  dtype=self.dtype  ,  name='linear_2'						)(lowercase__						)
										return temb







class        lowerCamelCase__				(   nn.Module				):
			UpperCamelCase__    							=3_2
			UpperCamelCase__    							=False
			UpperCamelCase__    							=1





			@nn.compact
			def __call__(       self	:	Optional[Any]  ,  lowercase__	:	str						):
										return get_sinusoidal_embeddings(
										    lowercase__  ,  embedding_dim=self.dim  ,  flip_sin_to_cos=self.flip_sin_to_cos  ,  freq_shift=self.freq_shift						)







import argparse
import os
import re


_lowercase:	Optional[Any]       			=		'''src/transformers/models/auto'''


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
_lowercase:	Union[str, Any]       			=		re.compile(R'''[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict''')
# re pattern that matches identifiers in mappings
_lowercase:	Optional[Any]       			=		re.compile(R'''\s*\(\s*"(\S[^"]+)"''')






def _lowerCamelCase  (		snake_case     , snake_case = False  ):
							with open(snake_case     , 'r'     , encoding='utf-8'  ) as f:
														_lowerCAmelCase							=							f.read()

							_lowerCAmelCase							=							content.split('\n'  )
							_lowerCAmelCase							=							[]
							_lowerCAmelCase							=							0
							while line_idx < len(snake_case  ):
														if _re_intro_mapping.search(lines[line_idx]  ) is not None:
																					_lowerCAmelCase							=							len(re.search(R'^(\s*)\S'     , lines[line_idx]  ).groups()[0]  ) + 8
																					# Start of a new mapping!
																					while not lines[line_idx].startswith(' ' * indent + '('  ):
																												new_lines.append(lines[line_idx]  )
																												line_idx += 1

																					_lowerCAmelCase							=							[]
																					while lines[line_idx].strip() != "]":
																												# Blocks either fit in one line or not
																												if lines[line_idx].strip() == "(":
																																			_lowerCAmelCase							=							line_idx
																																			while not lines[line_idx].startswith(' ' * indent + ')'  ):
																																										line_idx += 1
																																			blocks.append('\n'.join(lines[start_idx : line_idx + 1]  )  )
																												else:
																																			blocks.append(lines[line_idx]  )
																												line_idx += 1

																					# Sort blocks by their identifiers
																					_lowerCAmelCase							=							sorted(snake_case     , key=lambda snake_case  : _re_identifier.search(snake_case  ).groups()[0]  )
																					new_lines += blocks
														else:
																					new_lines.append(lines[line_idx]  )
																					line_idx += 1

							if overwrite:
														with open(snake_case     , 'w'     , encoding='utf-8'  ) as f:
																					f.write('\n'.join(snake_case  )  )
							elif "\n".join(snake_case  ) != content:
														return True






def _lowerCamelCase  (		snake_case = False  ):
							_lowerCAmelCase							=							[os.path.join(snake_case     , snake_case  ) for f in os.listdir(snake_case  ) if f.endswith('.py'  )]
							_lowerCAmelCase							=							[sort_auto_mapping(snake_case     , overwrite=snake_case  ) for fname in fnames]

							if not overwrite and any(snake_case  ):
														_lowerCAmelCase							=							[f for f, d in zip(snake_case     , snake_case  ) if d]
														raise ValueError(
														    F'The following files have auto mappings that need sorting: {", ".join(snake_case  )}. Run `make style` to fix'
														    ' this.'  )


if __name__ == "__main__":
				_lowercase:	Any       			=		argparse.ArgumentParser()
				parser.add_argument('''--check_only''', action='''store_true''', help='''Whether to only check or fix style.''')
				_lowercase:	Tuple       			=		parser.parse_args()

				sort_all_auto_mappings(not args.check_only)






