
"""simple docstring"""





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,	)				->						jnp.ndarray:


					"""simple docstring"""





					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(__snake_case,	dtype=jnp.floataa      ) * -log_timescale_increment      )
					_UpperCamelCase									=    jnp.expand_dims(__snake_case,	1      ) * jnp.expand_dims(__snake_case,	0      )

					# scale embeddings
					_UpperCamelCase									=    scale * emb

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






class        _UpperCAmelCase(       nn.Module      ):
		lowercase__         = 32
		lowercase__         = jnp.floataa



		@nn.compact
		def __call__(   self							,						__a)			->			Any:






							'''simple docstring'''
							_UpperCamelCase									=    nn.Dense(self.time_embed_dim							,						dtype=self.dtype							,						name='''linear_1''')(__a)
							_UpperCamelCase									=    nn.silu(__a)
							_UpperCamelCase									=    nn.Dense(self.time_embed_dim							,						dtype=self.dtype							,						name='''linear_2''')(__a)
							return temb






class        _UpperCAmelCase(       nn.Module      ):
		lowercase__         = 32
		lowercase__         = False
		lowercase__         = 1



		@nn.compact
		def __call__(   self							,						__a)			->			Optional[Any]:






							'''simple docstring'''
							return get_sinusoidal_embeddings(
							    __a							,						embedding_dim=self.dim							,						flip_sin_to_cos=self.flip_sin_to_cos							,						freq_shift=self.freq_shift)














'''simple docstring'''

import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


UpperCamelCase      					="\nHugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.\n\nIn March 2021, Hugging Face raised $40 million in a Series B funding round.[3]\n\nOn April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]\n"




class      A     (   unittest.TestCase, SCREAMING_SNAKE_CASE__    ):






 """simple docstring"""





 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: Optional[Any]            =				load_tool("""text-question-answering"""			)
       self.tool.setup()
       UpperCamelCase_					: List[str]            =				load_tool("""text-question-answering"""      ,  remote=__lowerCAmelCase			)
 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: Union[str, Any]            =				self.tool(__lowerCAmelCase      ,  """What did Hugging Face do in April 2021?"""			)
       self.assertEqual(__lowerCAmelCase      ,  """launched the BigScience Research Workshop"""			)
 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: Optional[Any]            =				self.remote_tool(__lowerCAmelCase      ,  """What did Hugging Face do in April 2021?"""			)
       self.assertEqual(__lowerCAmelCase      ,  """launched the BigScience Research Workshop"""			)
 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: List[Any]            =				self.tool(text=__lowerCAmelCase      ,  question="""What did Hugging Face do in April 2021?"""			)
       self.assertEqual(__lowerCAmelCase      ,  """launched the BigScience Research Workshop"""			)





 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: Dict            =				self.remote_tool(text=__lowerCAmelCase      ,  question="""What did Hugging Face do in April 2021?"""			)
       self.assertEqual(__lowerCAmelCase      ,  """launched the BigScience Research Workshop"""			)






