



"""simple docstring"""


import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin







@require_jieba
class 				A_      (					SCREAMING_SNAKE_CASE_     ,       unittest.TestCase    ):



						"""simple docstring"""
						__UpperCamelCase		    =							CpmAntTokenizer
						__UpperCamelCase		    =							False






						def      UpperCAmelCase__					( self			:List[str] )    ->      Union[str, Any]:
												super().setUp()

												UpperCAmelCase					=			[
												    '<d>',
												    '</d>',
												    '<s>',
												    '</s>',
												    '</_>',
												    '<unk>',
												    '<pad>',
												    '</n>',
												    '我',
												    '是',
												    'C',
												    'P',
												    'M',
												    'A',
												    'n',
												    't',
												]
												UpperCAmelCase					=			os.path.join(self.tmpdirname       ,  VOCAB_FILES_NAMES['vocab_file'] )
												with open(self.vocab_file       ,  'w'       ,  encoding='utf-8' ) as vocab_writer:
																		vocab_writer.write(''.join([x + '\n' for x in vocab_tokens] ) )






						@tooslow
						def      UpperCAmelCase__					( self			:Optional[Any] )    ->      List[str]:
												UpperCAmelCase					=			CpmAntTokenizer.from_pretrained('openbmb/cpm-ant-10b' )
												UpperCAmelCase					=			'今天天气真好！'
												UpperCAmelCase					=			['今天', '天气', '真', '好', '！']
												UpperCAmelCase					=			tokenizer.tokenize(lowercase_ )
												self.assertListEqual(lowercase_       ,  lowercase_ )
												UpperCAmelCase					=			'今天天气真好！'
												UpperCAmelCase					=			[tokenizer.bos_token] + tokens

												UpperCAmelCase					=			[6, 98_02, 1_49_62, 20_82, 8_31, 2_44]
												self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_ )       ,  lowercase_ )

												UpperCAmelCase					=			tokenizer.decode(lowercase_ )
												self.assertEqual(lowercase_       ,  lowercase_ )










"""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 )





