



"""simple docstring"""


import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin







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



						"""simple docstring"""
						__UpperCamelCase		    =							RobertaTokenizer
						__UpperCamelCase		    =							RobertaTokenizerFast
						__UpperCamelCase		    =							True
						__UpperCamelCase		    =							{"""cls_token""": """<s>"""}






						def      UpperCAmelCase__					( self			:List[Any] )    ->      Optional[Any]:
												super().setUp()

												# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
												UpperCAmelCase					=			[
												    'l',
												    'o',
												    'w',
												    'e',
												    'r',
												    's',
												    't',
												    'i',
												    'd',
												    'n',
												    '\u0120',
												    '\u0120l',
												    '\u0120n',
												    '\u0120lo',
												    '\u0120low',
												    'er',
												    '\u0120lowest',
												    '\u0120newer',
												    '\u0120wider',
												    '<unk>',
												]
												UpperCAmelCase					=			dict(zip(lowercase_       ,  range(len(lowercase_ ) ) ) )
												UpperCAmelCase					=			['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
												UpperCAmelCase					=			{'unk_token': '<unk>'}

												UpperCAmelCase					=			os.path.join(self.tmpdirname       ,  VOCAB_FILES_NAMES['vocab_file'] )
												UpperCAmelCase					=			os.path.join(self.tmpdirname       ,  VOCAB_FILES_NAMES['merges_file'] )
												with open(self.vocab_file       ,  'w'       ,  encoding='utf-8' ) as fp:
																		fp.write(json.dumps(lowercase_ ) + '\n' )
												with open(self.merges_file       ,  'w'       ,  encoding='utf-8' ) as fp:
																		fp.write('\n'.join(lowercase_ ) )






						def      UpperCAmelCase__					( self			:List[str]       ,  **lowercase_			:Optional[int] )    ->      str:
												kwargs.update(self.special_tokens_map )
												return self.tokenizer_class.from_pretrained(self.tmpdirname       ,  **lowercase_ )






						def      UpperCAmelCase__					( self			:int       ,  **lowercase_			:Any )    ->      Union[str, Any]:
												kwargs.update(self.special_tokens_map )
												return RobertaTokenizerFast.from_pretrained(self.tmpdirname       ,  **lowercase_ )






						def      UpperCAmelCase__					( self			:str       ,  lowercase_			:Optional[int] )    ->      Tuple:
												UpperCAmelCase					=			'lower newer'
												UpperCAmelCase					=			'lower newer'
												return input_text, output_text






						def      UpperCAmelCase__					( self			:List[Any] )    ->      Optional[int]:
												UpperCAmelCase					=			self.tokenizer_class(self.vocab_file       ,  self.merges_file       ,  **self.special_tokens_map )
												UpperCAmelCase					=			'lower newer'
												UpperCAmelCase					=			['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
												UpperCAmelCase					=			tokenizer.tokenize(lowercase_ )  # , add_prefix_space=True)
												self.assertListEqual(lowercase_       ,  lowercase_ )

												UpperCAmelCase					=			tokens + [tokenizer.unk_token]
												UpperCAmelCase					=			[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
												self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_ )       ,  lowercase_ )






						def      UpperCAmelCase__					( self			:Union[str, Any] )    ->      Any:
												UpperCAmelCase					=			self.get_tokenizer()

												self.assertListEqual(tokenizer.encode('Hello world!'       ,  add_special_tokens=lowercase_ )       ,  [0, 3_14_14, 2_32, 3_28, 2] )
												self.assertListEqual(
												    tokenizer.encode('Hello world! cécé herlolip 418'       ,  add_special_tokens=lowercase_ )       ,  [0, 3_14_14, 2_32, 3_28, 7_40, 11_40, 1_26_95, 69, 4_60_78, 15_88, 2]       ,  )






						@slow
						def      UpperCAmelCase__					( self			:List[Any] )    ->      Dict:
												UpperCAmelCase					=			self.tokenizer_class.from_pretrained('roberta-base' )

												UpperCAmelCase					=			tokenizer.encode('sequence builders'       ,  add_special_tokens=lowercase_ )
												UpperCAmelCase					=			tokenizer.encode('multi-sequence build'       ,  add_special_tokens=lowercase_ )

												UpperCAmelCase					=			tokenizer.encode(
												    'sequence builders'       ,  add_special_tokens=lowercase_       ,  add_prefix_space=lowercase_ )
												UpperCAmelCase					=			tokenizer.encode(
												    'sequence builders'       ,  'multi-sequence build'       ,  add_special_tokens=lowercase_       ,  add_prefix_space=lowercase_ )

												UpperCAmelCase					=			tokenizer.build_inputs_with_special_tokens(lowercase_ )
												UpperCAmelCase					=			tokenizer.build_inputs_with_special_tokens(lowercase_       ,  lowercase_ )

												assert encoded_sentence == encoded_text_from_decode
												assert encoded_pair == encoded_pair_from_decode






						def      UpperCAmelCase__					( self			:Dict )    ->      Dict:
												UpperCAmelCase					=			self.get_tokenizer()

												UpperCAmelCase					=			'Encode this sequence.'
												UpperCAmelCase					=			tokenizer.byte_encoder[' '.encode('utf-8' )[0]]

												# Testing encoder arguments
												UpperCAmelCase					=			tokenizer.encode(lowercase_       ,  add_special_tokens=lowercase_       ,  add_prefix_space=lowercase_ )
												UpperCAmelCase					=			tokenizer.convert_ids_to_tokens(encoded[0] )[0]
												self.assertNotEqual(lowercase_       ,  lowercase_ )

												UpperCAmelCase					=			tokenizer.encode(lowercase_       ,  add_special_tokens=lowercase_       ,  add_prefix_space=lowercase_ )
												UpperCAmelCase					=			tokenizer.convert_ids_to_tokens(encoded[0] )[0]
												self.assertEqual(lowercase_       ,  lowercase_ )

												tokenizer.add_special_tokens({'bos_token': '<s>'} )
												UpperCAmelCase					=			tokenizer.encode(lowercase_       ,  add_special_tokens=lowercase_ )
												UpperCAmelCase					=			tokenizer.convert_ids_to_tokens(encoded[1] )[0]
												self.assertNotEqual(lowercase_       ,  lowercase_ )

												# Testing spaces after special tokens
												UpperCAmelCase					=			'<mask>'
												tokenizer.add_special_tokens(
												    {'mask_token': AddedToken(lowercase_       ,  lstrip=lowercase_       ,  rstrip=lowercase_ )} )  # mask token has a left space
												UpperCAmelCase					=			tokenizer.convert_tokens_to_ids(lowercase_ )

												UpperCAmelCase					=			'Encode <mask> sequence'
												UpperCAmelCase					=			'Encode <mask>sequence'

												UpperCAmelCase					=			tokenizer.encode(lowercase_ )
												UpperCAmelCase					=			encoded.index(lowercase_ )
												UpperCAmelCase					=			tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1] )[0]
												self.assertEqual(lowercase_       ,  lowercase_ )

												UpperCAmelCase					=			tokenizer.encode(lowercase_ )
												UpperCAmelCase					=			encoded.index(lowercase_ )
												UpperCAmelCase					=			tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1] )[0]
												self.assertNotEqual(lowercase_       ,  lowercase_ )






						def      UpperCAmelCase__					( self			:Tuple )    ->      Tuple:
												pass






						def      UpperCAmelCase__					( self			:Union[str, Any] )    ->      Any:
												for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																		with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
																								UpperCAmelCase					=			self.rust_tokenizer_class.from_pretrained(lowercase_       ,  **lowercase_ )
																								UpperCAmelCase					=			self.tokenizer_class.from_pretrained(lowercase_       ,  **lowercase_ )
																								UpperCAmelCase					=			'A, <mask> AllenNLP sentence.'
																								UpperCAmelCase					=			tokenizer_r.encode_plus(lowercase_       ,  add_special_tokens=lowercase_       ,  return_token_type_ids=lowercase_ )
																								UpperCAmelCase					=			tokenizer_p.encode_plus(lowercase_       ,  add_special_tokens=lowercase_       ,  return_token_type_ids=lowercase_ )

																								# token_type_ids should put 0 everywhere
																								self.assertEqual(sum(tokens_r['token_type_ids'] )       ,  sum(tokens_p['token_type_ids'] ) )

																								# attention_mask should put 1 everywhere, so sum over length should be 1
																								self.assertEqual(
																								    sum(tokens_r['attention_mask'] ) / len(tokens_r['attention_mask'] )       ,  sum(tokens_p['attention_mask'] ) / len(tokens_p['attention_mask'] )       ,  )

																								UpperCAmelCase					=			tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids'] )
																								UpperCAmelCase					=			tokenizer_p.convert_ids_to_tokens(tokens_p['input_ids'] )

																								# Rust correctly handles the space before the mask while python doesnt
																								self.assertSequenceEqual(tokens_p['input_ids']       ,  [0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2] )
																								self.assertSequenceEqual(tokens_r['input_ids']       ,  [0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2] )

																								self.assertSequenceEqual(
																								    lowercase_       ,  ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>'] )
																								self.assertSequenceEqual(
																								    lowercase_       ,  ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>'] )






						def      UpperCAmelCase__					( self			:Optional[int] )    ->      List[Any]:
												for trim_offsets, add_prefix_space in itertools.product([True, False]       ,  repeat=2 ):
																		UpperCAmelCase					=			self.rust_tokenizer_class.from_pretrained(
																		    self.tmpdirname       ,  use_fast=lowercase_       ,  add_prefix_space=lowercase_       ,  trim_offsets=lowercase_ )

																		UpperCAmelCase					=			json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__() )
																		UpperCAmelCase					=			json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__() )

																		self.assertEqual(pre_tokenizer_state['add_prefix_space']       ,  lowercase_ )

																		self.assertEqual(post_processor_state['add_prefix_space']       ,  lowercase_ )
																		self.assertEqual(post_processor_state['trim_offsets']       ,  lowercase_ )






						def      UpperCAmelCase__					( self			:Tuple )    ->      Tuple:
												# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
												# `trim_offsets`
												for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																		with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
																								UpperCAmelCase					=			'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
																								UpperCAmelCase					=			f"""{text_of_1_token} {text_of_1_token}"""

																								UpperCAmelCase					=			self.rust_tokenizer_class.from_pretrained(
																								    lowercase_       ,  use_fast=lowercase_       ,  add_prefix_space=lowercase_       ,  trim_offsets=lowercase_ )
																								UpperCAmelCase					=			tokenizer_r(lowercase_       ,  return_offsets_mapping=lowercase_       ,  add_special_tokens=lowercase_ )
																								self.assertEqual(encoding.offset_mapping[0]       ,  (0, len(lowercase_ )) )
																								self.assertEqual(
																								    encoding.offset_mapping[1]       ,  (len(lowercase_ ) + 1, len(lowercase_ ) + 1 + len(lowercase_ ))       ,  )

																								UpperCAmelCase					=			self.rust_tokenizer_class.from_pretrained(
																								    lowercase_       ,  use_fast=lowercase_       ,  add_prefix_space=lowercase_       ,  trim_offsets=lowercase_ )
																								UpperCAmelCase					=			tokenizer_r(lowercase_       ,  return_offsets_mapping=lowercase_       ,  add_special_tokens=lowercase_ )
																								self.assertEqual(encoding.offset_mapping[0]       ,  (0, len(lowercase_ )) )
																								self.assertEqual(
																								    encoding.offset_mapping[1]       ,  (len(lowercase_ ) + 1, len(lowercase_ ) + 1 + len(lowercase_ ))       ,  )

																								UpperCAmelCase					=			self.rust_tokenizer_class.from_pretrained(
																								    lowercase_       ,  use_fast=lowercase_       ,  add_prefix_space=lowercase_       ,  trim_offsets=lowercase_ )
																								UpperCAmelCase					=			tokenizer_r(lowercase_       ,  return_offsets_mapping=lowercase_       ,  add_special_tokens=lowercase_ )
																								self.assertEqual(encoding.offset_mapping[0]       ,  (0, len(lowercase_ )) )
																								self.assertEqual(
																								    encoding.offset_mapping[1]       ,  (len(lowercase_ ), len(lowercase_ ) + 1 + len(lowercase_ ))       ,  )

																								UpperCAmelCase					=			self.rust_tokenizer_class.from_pretrained(
																								    lowercase_       ,  use_fast=lowercase_       ,  add_prefix_space=lowercase_       ,  trim_offsets=lowercase_ )
																								UpperCAmelCase					=			tokenizer_r(lowercase_       ,  return_offsets_mapping=lowercase_       ,  add_special_tokens=lowercase_ )
																								self.assertEqual(encoding.offset_mapping[0]       ,  (0, len(lowercase_ )) )
																								self.assertEqual(
																								    encoding.offset_mapping[1]       ,  (len(lowercase_ ), len(lowercase_ ) + 1 + len(lowercase_ ))       ,  )

																								UpperCAmelCase					=			f""" {text}"""

																								# tokenizer_r = self.rust_tokenizer_class.from_pretrained(
																								#     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
																								# )
																								# encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
																								# self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
																								# self.assertEqual(
																								#     encoding.offset_mapping[1],
																								#     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
																								# )

																								UpperCAmelCase					=			self.rust_tokenizer_class.from_pretrained(
																								    lowercase_       ,  use_fast=lowercase_       ,  add_prefix_space=lowercase_       ,  trim_offsets=lowercase_ )
																								UpperCAmelCase					=			tokenizer_r(lowercase_       ,  return_offsets_mapping=lowercase_       ,  add_special_tokens=lowercase_ )
																								self.assertEqual(encoding.offset_mapping[0]       ,  (1, 1 + len(lowercase_ )) )
																								self.assertEqual(
																								    encoding.offset_mapping[1]       ,  (1 + len(lowercase_ ) + 1, 1 + len(lowercase_ ) + 1 + len(lowercase_ ))       ,  )

																								UpperCAmelCase					=			self.rust_tokenizer_class.from_pretrained(
																								    lowercase_       ,  use_fast=lowercase_       ,  add_prefix_space=lowercase_       ,  trim_offsets=lowercase_ )
																								UpperCAmelCase					=			tokenizer_r(lowercase_       ,  return_offsets_mapping=lowercase_       ,  add_special_tokens=lowercase_ )
																								self.assertEqual(encoding.offset_mapping[0]       ,  (0, 1 + len(lowercase_ )) )
																								self.assertEqual(
																								    encoding.offset_mapping[1]       ,  (1 + len(lowercase_ ), 1 + len(lowercase_ ) + 1 + len(lowercase_ ))       ,  )

																								UpperCAmelCase					=			self.rust_tokenizer_class.from_pretrained(
																								    lowercase_       ,  use_fast=lowercase_       ,  add_prefix_space=lowercase_       ,  trim_offsets=lowercase_ )
																								UpperCAmelCase					=			tokenizer_r(lowercase_       ,  return_offsets_mapping=lowercase_       ,  add_special_tokens=lowercase_ )
																								self.assertEqual(encoding.offset_mapping[0]       ,  (0, 1 + len(lowercase_ )) )
																								self.assertEqual(
																								    encoding.offset_mapping[1]       ,  (1 + len(lowercase_ ), 1 + len(lowercase_ ) + 1 + len(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 )





