



"""simple docstring"""


snake_case_    					=	"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"

def 			_lowerCAmelCase				(       lowercase_						):



						if not isinstance(lowercase_		,     lowercase_						):
												UpperCAmelCase					=			F"""a bytes-like object is required, not '{data.__class__.__name__}'"""
												raise TypeError(lowercase_						)

						UpperCAmelCase					=			''''''.join(bin(lowercase_						)[2:].zfill(8						) for byte in data						)

						UpperCAmelCase					=			len(lowercase_						) % 6 != 0

						if padding_needed:
												# The padding that will be added later
												UpperCAmelCase					=			B'''=''' * ((6 - len(lowercase_						) % 6) // 2)

												# Append binary_stream with arbitrary binary digits (0's by default) to make its
												# length a multiple of 6.
												binary_stream += "0" * (6 - len(lowercase_						) % 6)
						else:
												UpperCAmelCase					=			B''''''

						# Encode every 6 binary digits to their corresponding Base64 character
						return (
						    "".join(
						        B64_CHARSET[int(binary_stream[index : index + 6]		,     2						)]
						        for index in range(0		,     len(lowercase_						)		,     6						)						).encode()
						    + padding
						)

def 			_lowerCAmelCase				(       lowercase_						):



						if not isinstance(lowercase_		,     lowercase_						) and not isinstance(lowercase_		,     lowercase_						):
												UpperCAmelCase					=			(
												    '''argument should be a bytes-like object or ASCII string, '''
												    F"""not '{encoded_data.__class__.__name__}'"""
												)
												raise TypeError(lowercase_						)

						# In case encoded_data is a bytes-like object, make sure it contains only
						# ASCII characters so we convert it to a string object
						if isinstance(lowercase_		,     lowercase_						):
												try:
																		UpperCAmelCase					=			encoded_data.decode('utf-8'						)
												except UnicodeDecodeError:
																		raise ValueError('base64 encoded data should only contain ASCII characters'						)

						UpperCAmelCase					=			encoded_data.count('='						)

						# Check if the encoded string contains non base64 characters
						if padding:
												assert all(
												    char in B64_CHARSET for char in encoded_data[:-padding]						), "Invalid base64 character(s) found."
						else:
												assert all(
												    char in B64_CHARSET for char in encoded_data						), "Invalid base64 character(s) found."

						# Check the padding
						assert len(lowercase_						) % 4 == 0 and padding < 3, "Incorrect padding"

						if padding:
												# Remove padding if there is one
												UpperCAmelCase					=			encoded_data[:-padding]

												UpperCAmelCase					=			''''''.join(
												    bin(B64_CHARSET.index(lowercase_						)						)[2:].zfill(6						) for char in encoded_data						)[: -padding * 2]
						else:
												UpperCAmelCase					=			''''''.join(
												    bin(B64_CHARSET.index(lowercase_						)						)[2:].zfill(6						) for char in encoded_data						)

						UpperCAmelCase					=			[
						    int(binary_stream[index : index + 8]		,     2						)
						    for index in range(0		,     len(lowercase_						)		,     8						)
						]

						return bytes(lowercase_						)


if __name__ == "__main__":
				import doctest

				doctest.testmod()










"""simple docstring"""


import math

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

def 			_lowerCAmelCase				(       lowercase_		,     lowercase_		,     lowercase_ = 1		,     lowercase_ = 1		,     lowercase_ = 1.0e4		,     lowercase_ = False		,     lowercase_ = 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"""
						UpperCAmelCase					=			float(embedding_dim // 2						)
						UpperCAmelCase					=			math.log(max_timescale / min_timescale						) / (num_timescales - freq_shift)
						UpperCAmelCase					=			min_timescale * jnp.exp(jnp.arange(lowercase_		,     dtype=jnp.floataa						) * -log_timescale_increment						)
						UpperCAmelCase					=			jnp.expand_dims(lowercase_		,     1						) * jnp.expand_dims(lowercase_		,     0						)

						# scale embeddings
						UpperCAmelCase					=			scale * emb

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







class 				A_      (					nn.Module    ):



						"""simple docstring"""
						__UpperCamelCase		    =							32
						__UpperCamelCase		    =							jnp.floataa






						@nn.compact
						def __call__( self			:Union[str, Any]       ,  lowercase_			:Tuple )    ->      str:
												UpperCAmelCase					=			nn.Dense(self.time_embed_dim       ,  dtype=self.dtype       ,  name='linear_1' )(lowercase_ )
												UpperCAmelCase					=			nn.silu(lowercase_ )
												UpperCAmelCase					=			nn.Dense(self.time_embed_dim       ,  dtype=self.dtype       ,  name='linear_2' )(lowercase_ )
												return temb







class 				A_      (					nn.Module    ):



						"""simple docstring"""
						__UpperCamelCase		    =							32
						__UpperCamelCase		    =							False
						__UpperCamelCase		    =							1






						@nn.compact
						def __call__( self			:Any       ,  lowercase_			:int )    ->      Union[str, Any]:
												return get_sinusoidal_embeddings(
												    lowercase_       ,  embedding_dim=self.dim       ,  flip_sin_to_cos=self.flip_sin_to_cos       ,  freq_shift=self.freq_shift )





