





import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
	lowerCAmelCase_    =				'''pt'''
elif is_tf_available():
	lowerCAmelCase_    =				'''tf'''
else:
	lowerCAmelCase_    =				'''jax'''



class 					__lowerCAmelCase       (			_a,     unittest.TestCase     ):
			lowerCamelCase_     :     Optional[int]       			=      ByTaTokenizer
			lowerCamelCase_     :     str       			=      False






			def 			lowerCamelCase  (self    )     ->   Tuple:


							'''simple docstring'''



							super().setUp()
							snake_case_						:    Any				=  ByTaTokenizer()
							tokenizer.save_pretrained(self.tmpdirname    )






			@cached_property
			def 			lowerCamelCase  (self    )     ->   List[Any]:


							'''simple docstring'''



							return ByTaTokenizer.from_pretrained('''google/byt5-small'''    )






			def 			lowerCamelCase  (self					,							**__magic_name__    )     ->   ByTaTokenizer:


							'''simple docstring'''



							return self.tokenizer_class.from_pretrained(self.tmpdirname					,							**__magic_name__    )






			def 			lowerCamelCase  (self					,							__magic_name__					,							__magic_name__=False					,							__magic_name__=20					,							__magic_name__=5    )     ->   Tuple[str, list]:


							'''simple docstring'''



							snake_case_						:    List[Any]				=  []
							for i in range(len(__magic_name__    )    ):
											try:
															snake_case_						:    List[Any]				=  tokenizer.decode([i]					,							clean_up_tokenization_spaces=__magic_name__    )
											except UnicodeDecodeError:
															pass
											toks.append((i, tok)    )

							snake_case_						:    Union[str, Any]				=  list(filter(lambda __magic_name__    : re.match(R'''^[ a-zA-Z]+$'''					,							t[1]    )					,							__magic_name__    )    )
							snake_case_						:    Optional[Any]				=  list(filter(lambda __magic_name__    : [t[0]] == tokenizer.encode(t[1]					,							add_special_tokens=__magic_name__    )					,							__magic_name__    )    )
							if max_length is not None and len(__magic_name__    ) > max_length:
											snake_case_						:    Union[str, Any]				=  toks[:max_length]
							if min_length is not None and len(__magic_name__    ) < min_length and len(__magic_name__    ) > 0:
											while len(__magic_name__    ) < min_length:
															snake_case_						:    int				=  toks + toks
        # toks_str = [t[1] for t in toks]
							snake_case_						:    Any				=  [t[0] for t in toks]

							# Ensure consistency
							snake_case_						:    List[str]				=  tokenizer.decode(__magic_name__					,							clean_up_tokenization_spaces=__magic_name__    )
							if " " not in output_txt and len(__magic_name__    ) > 1:
											snake_case_						:    Any				=  (
											    tokenizer.decode([toks_ids[0]]					,							clean_up_tokenization_spaces=__magic_name__    )
											    + ''' '''
											    + tokenizer.decode(toks_ids[1:]					,							clean_up_tokenization_spaces=__magic_name__    )
											)
							if with_prefix_space:
											snake_case_						:    Optional[Any]				=  ''' ''' + output_txt
							snake_case_						:    Optional[int]				=  tokenizer.encode(__magic_name__					,							add_special_tokens=__magic_name__    )
							return output_txt, output_ids






			def 			lowerCamelCase  (self    )     ->   Tuple:


							'''simple docstring'''



							snake_case_						:    List[str]				=  self.ta_base_tokenizer
							snake_case_						:    int				=  tokenizer(['''hi</s>''', '''I went to the gym</s>''', '''</s>''']    )
							snake_case_						:    Optional[Any]				=  tokenizer(['''hi''', '''I went to the gym''', '''''']    )
							self.assertListEqual(batch_with_eos_added['''input_ids''']					,							batch_without_eos_added['''input_ids''']    )






			def 			lowerCamelCase  (self    )     ->   Optional[int]:


							'''simple docstring'''



							snake_case_						:    List[Any]				=  self.ta_base_tokenizer
							snake_case_						:    Union[str, Any]				=  '''Unicode €.'''
							snake_case_						:    List[str]				=  tokenizer(__magic_name__    )
							snake_case_						:    str				=  [88, 113, 108, 102, 114, 103, 104, 35, 229, 133, 175, 49, 1]
							self.assertEqual(encoded['''input_ids''']					,							__magic_name__    )

							# decoding
							snake_case_						:    Any				=  tokenizer.decode(__magic_name__    )
							self.assertEqual(__magic_name__					,							'''Unicode €.</s>'''    )

							snake_case_						:    List[Any]				=  tokenizer('''e è é ê ë'''    )
							snake_case_						:    Optional[int]				=  [104, 35, 198, 171, 35, 198, 172, 35, 198, 173, 35, 198, 174, 1]
							self.assertEqual(encoded['''input_ids''']					,							__magic_name__    )
							# decoding
							snake_case_						:    Optional[int]				=  tokenizer.decode(__magic_name__    )
							self.assertEqual(__magic_name__					,							'''e è é ê ë</s>'''    )

							# encode/decode, but with `encode` instead of `__call__`
							self.assertEqual(tokenizer.decode(tokenizer.encode('''e è é ê ë'''    )    )					,							'''e è é ê ë</s>'''    )






			def 			lowerCamelCase  (self    )     ->   Tuple:


							'''simple docstring'''



							snake_case_						:    Tuple				=  self.ta_base_tokenizer
							snake_case_						:    str				=  ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
							# fmt: off
							snake_case_						:    Tuple				=  [68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 1, 0]
							# fmt: on
							snake_case_						:    Optional[Any]				=  tokenizer(__magic_name__					,							padding=__magic_name__					,							return_tensors=__magic_name__    )
							self.assertIsInstance(__magic_name__					,							__magic_name__    )

							if FRAMEWORK != "jax":
											snake_case_						:    Union[str, Any]				=  list(batch.input_ids.numpy()[0]    )
							else:
											snake_case_						:    str				=  list(batch.input_ids.tolist()[0]    )

							self.assertListEqual(__magic_name__					,							__magic_name__    )

							self.assertEqual((2, 37)					,							batch.input_ids.shape    )
							self.assertEqual((2, 37)					,							batch.attention_mask.shape    )






			def 			lowerCamelCase  (self    )     ->   Union[str, Any]:


							'''simple docstring'''



							snake_case_						:    Dict				=  self.ta_base_tokenizer
							snake_case_						:    int				=  ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
							snake_case_						:    Optional[Any]				=  tokenizer(__magic_name__					,							padding=__magic_name__					,							return_tensors=__magic_name__    )
							# check if input_ids are returned and no decoder_input_ids
							self.assertIn('''input_ids'''					,							__magic_name__    )
							self.assertIn('''attention_mask'''					,							__magic_name__    )
							self.assertNotIn('''decoder_input_ids'''					,							__magic_name__    )
							self.assertNotIn('''decoder_attention_mask'''					,							__magic_name__    )






			def 			lowerCamelCase  (self    )     ->   List[str]:


							'''simple docstring'''



							snake_case_						:    Dict				=  self.ta_base_tokenizer
							snake_case_						:    Optional[int]				=  [
							    '''Summary of the text.''',
							    '''Another summary.''',
							]
							snake_case_						:    str				=  tokenizer(
							    text_target=__magic_name__					,							max_length=32					,							padding='''max_length'''					,							truncation=__magic_name__					,							return_tensors=__magic_name__    )
							self.assertEqual(32					,							targets['''input_ids'''].shape[1]    )






			def 			lowerCamelCase  (self    )     ->   Optional[Any]:


							'''simple docstring'''



							snake_case_						:    Union[str, Any]				=  self.ta_base_tokenizer
							snake_case_						:    List[str]				=  ['''A long paragraph for summarization. </s>''']
							snake_case_						:    Optional[Any]				=  ['''Summary of the text. </s>''']
							# fmt: off
							snake_case_						:    Dict				=  [68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 35, 1]
							snake_case_						:    str				=  [86, 120, 112, 112, 100, 117, 124, 35, 114, 105, 35, 119, 107, 104, 35, 119, 104, 123, 119, 49, 35, 1]
							# fmt: on

							snake_case_						:    str				=  tokenizer(__magic_name__					,							text_target=__magic_name__    )

							self.assertEqual(__magic_name__					,							batch['''input_ids'''][0]    )
							self.assertEqual(__magic_name__					,							batch['''labels'''][0]    )






			def 			lowerCamelCase  (self    )     ->   List[str]:


							'''simple docstring'''



							snake_case_						:    Tuple				=  self.get_tokenizers()
							for tokenizer in tokenizers:
											with self.subTest(F'''{tokenizer.__class__.__name__}'''    ):
															self.assertNotEqual(tokenizer.model_max_length					,							42    )

        # Now let's start the test
							snake_case_						:    Optional[int]				=  self.get_tokenizers()
							for tokenizer in tokenizers:
											with self.subTest(F'''{tokenizer.__class__.__name__}'''    ):
															# Isolate this from the other tests because we save additional tokens/etc
															snake_case_						:    Tuple				=  tempfile.mkdtemp()

															snake_case_						:    List[str]				=  ''' He is very happy, UNwant\u00E9d,running'''
															snake_case_						:    List[str]				=  tokenizer.encode(__magic_name__					,							add_special_tokens=__magic_name__    )
															tokenizer.save_pretrained(__magic_name__    )

															snake_case_						:    str				=  tokenizer.__class__.from_pretrained(__magic_name__    )
															snake_case_						:    Any				=  after_tokenizer.encode(__magic_name__					,							add_special_tokens=__magic_name__    )
															self.assertListEqual(__magic_name__					,							__magic_name__    )

															shutil.rmtree(__magic_name__    )

							snake_case_						:    Optional[int]				=  self.get_tokenizers(model_max_length=42    )
							for tokenizer in tokenizers:
											with self.subTest(F'''{tokenizer.__class__.__name__}'''    ):
															# Isolate this from the other tests because we save additional tokens/etc
															snake_case_						:    Optional[int]				=  tempfile.mkdtemp()

															snake_case_						:    Dict				=  ''' He is very happy, UNwant\u00E9d,running'''
															tokenizer.add_tokens(['''bim''', '''bambam''']    )
															snake_case_						:    Optional[int]				=  tokenizer.additional_special_tokens
															additional_special_tokens.append('''new_additional_special_token'''    )
															tokenizer.add_special_tokens({'''additional_special_tokens''': additional_special_tokens}    )
															snake_case_						:    str				=  tokenizer.encode(__magic_name__					,							add_special_tokens=__magic_name__    )
															tokenizer.save_pretrained(__magic_name__    )

															snake_case_						:    Union[str, Any]				=  tokenizer.__class__.from_pretrained(__magic_name__    )
															snake_case_						:    Dict				=  after_tokenizer.encode(__magic_name__					,							add_special_tokens=__magic_name__    )
															self.assertListEqual(__magic_name__					,							__magic_name__    )
															self.assertIn('''new_additional_special_token'''					,							after_tokenizer.additional_special_tokens    )
															self.assertEqual(after_tokenizer.model_max_length					,							42    )

															snake_case_						:    List[str]				=  tokenizer.__class__.from_pretrained(__magic_name__					,							model_max_length=43    )
															self.assertEqual(tokenizer.model_max_length					,							43    )

															shutil.rmtree(__magic_name__    )






			def 			lowerCamelCase  (self    )     ->   List[Any]:


							'''simple docstring'''



							snake_case_						:    List[str]				=  []
							if self.test_slow_tokenizer:
											tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())    )

							if self.test_rust_tokenizer:
											tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())    )

							for tokenizer_class, tokenizer_utils in tokenizer_list:
											with tempfile.TemporaryDirectory() as tmp_dir:
															tokenizer_utils.save_pretrained(__magic_name__    )

															with open(os.path.join(__magic_name__					,							'''special_tokens_map.json'''    )					,							encoding='''utf-8'''    ) as json_file:
																			snake_case_						:    str				=  json.load(__magic_name__    )

															with open(os.path.join(__magic_name__					,							'''tokenizer_config.json'''    )					,							encoding='''utf-8'''    ) as json_file:
																			snake_case_						:    str				=  json.load(__magic_name__    )

															snake_case_						:    str				=  [F'''<extra_id_{i}>''' for i in range(125    )]

															snake_case_						:    Optional[int]				=  added_tokens_extra_ids + [
															    '''an_additional_special_token'''
															]
															snake_case_						:    Optional[Any]				=  added_tokens_extra_ids + [
															    '''an_additional_special_token'''
															]

															with open(os.path.join(__magic_name__					,							'''special_tokens_map.json'''    )					,							'''w'''					,							encoding='''utf-8'''    ) as outfile:
																			json.dump(__magic_name__					,							__magic_name__    )
															with open(os.path.join(__magic_name__					,							'''tokenizer_config.json'''    )					,							'''w'''					,							encoding='''utf-8'''    ) as outfile:
																			json.dump(__magic_name__					,							__magic_name__    )

															# the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
															# into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
															# "special_tokens_map.json" files
															snake_case_						:    List[Any]				=  tokenizer_class.from_pretrained(
															    __magic_name__					,							)
															self.assertIn(
															    '''an_additional_special_token'''					,							tokenizer_without_change_in_init.additional_special_tokens    )
															# self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
															self.assertEqual(
															    ['''an_additional_special_token''']					,							tokenizer_without_change_in_init.convert_ids_to_tokens(
															        tokenizer_without_change_in_init.convert_tokens_to_ids(['''an_additional_special_token''']    )    )					,							)

															# Now we test that we can change the value of additional_special_tokens in the from_pretrained
															snake_case_						:    Dict				=  added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''					,							lstrip=__magic_name__    )]
															snake_case_						:    int				=  tokenizer_class.from_pretrained(
															    __magic_name__					,							additional_special_tokens=__magic_name__					,							)

															self.assertIn('''a_new_additional_special_token'''					,							tokenizer.additional_special_tokens    )
															self.assertEqual(
															    ['''a_new_additional_special_token''']					,							tokenizer.convert_ids_to_tokens(
															        tokenizer.convert_tokens_to_ids(['''a_new_additional_special_token''']    )    )					,							)






			def 			lowerCamelCase  (self    )     ->   Union[str, Any]:


							'''simple docstring'''



							snake_case_						:    Tuple				=  []
							if self.test_slow_tokenizer:
											tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())    )

							if self.test_rust_tokenizer:
											tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())    )

							for tokenizer_class, tokenizer_utils in tokenizer_list:
											with tempfile.TemporaryDirectory() as tmp_dir:
															tokenizer_utils.save_pretrained(__magic_name__    )

															snake_case_						:    Dict				=  tokenizer_class.from_pretrained(__magic_name__    )

															self.assertTrue(tokenizer.decode([255]    ) == ''''''    )






			def 			lowerCamelCase  (self    )     ->   List[Any]:


							'''simple docstring'''



							pass






			def 			lowerCamelCase  (self    )     ->   List[str]:


							'''simple docstring'''



							pass






			def 			lowerCamelCase  (self    )     ->   Any:


							'''simple docstring'''



							pass






			def 			lowerCamelCase  (self    )     ->   Union[str, Any]:


							'''simple docstring'''



							pass






			def 			lowerCamelCase  (self    )     ->   Optional[Any]:


							'''simple docstring'''



							snake_case_						:    Tuple				=  self.get_tokenizers(fast=__magic_name__					,							do_lower_case=__magic_name__    )
							for tokenizer in tokenizers:
											with self.subTest(F'''{tokenizer.__class__.__name__}'''    ):
															snake_case_						:    Dict				=  ['''t''', '''h''', '''i''', '''s''', ''' ''', '''i''', '''s''', ''' ''', '''a''', ''' ''', '''t''', '''e''', '''x''', '''t''', '''</s>''']
															snake_case_						:    Optional[int]				=  tokenizer.convert_tokens_to_string(__magic_name__    )

															self.assertIsInstance(__magic_name__					,							__magic_name__    )






			def 			lowerCamelCase  (self    )     ->   List[str]:


							'''simple docstring'''



							snake_case_						:    List[Any]				=  self.get_tokenizers()
							for tokenizer in tokenizers:
											with self.subTest(F'''{tokenizer.__class__.__name__}'''    ):
															snake_case_						:    List[Any]				=  [
															    '''bos_token''',
															    '''eos_token''',
															    '''unk_token''',
															    '''sep_token''',
															    '''pad_token''',
															    '''cls_token''',
															    '''mask_token''',
															]

															snake_case_						:    List[str]				=  0
															snake_case_						:    Any				=  tokenizer.convert_ids_to_tokens(
															    __magic_name__					,							skip_special_tokens=__magic_name__    )

															for attr in attributes_list:
																			setattr(__magic_name__					,							attr + '''_id'''					,							__magic_name__    )
																			self.assertEqual(getattr(__magic_name__					,							__magic_name__    )					,							__magic_name__    )
																			self.assertEqual(getattr(__magic_name__					,							attr + '''_id'''    )					,							__magic_name__    )

																			setattr(__magic_name__					,							attr + '''_id'''					,							__magic_name__    )
																			self.assertEqual(getattr(__magic_name__					,							__magic_name__    )					,							__magic_name__    )
																			self.assertEqual(getattr(__magic_name__					,							attr + '''_id'''    )					,							__magic_name__    )

															setattr(__magic_name__					,							'''additional_special_tokens_ids'''					,							[]    )
															self.assertListEqual(getattr(__magic_name__					,							'''additional_special_tokens'''    )					,							[]    )
															self.assertListEqual(getattr(__magic_name__					,							'''additional_special_tokens_ids'''    )					,							[]    )

															setattr(__magic_name__					,							'''additional_special_tokens_ids'''					,							[token_id_to_test_setters]    )
															self.assertListEqual(getattr(__magic_name__					,							'''additional_special_tokens'''    )					,							[token_to_test_setters]    )
															self.assertListEqual(getattr(__magic_name__					,							'''additional_special_tokens_ids'''    )					,							[token_id_to_test_setters]    )







import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin



class 					__lowerCAmelCase       (			_a,     unittest.TestCase     ):
			lowerCamelCase_     :     Any       			=      BioGptTokenizer
			lowerCamelCase_     :     Optional[Any]       			=      False






			def 			lowerCamelCase  (self    )     ->   List[Any]:


							'''simple docstring'''



							super().setUp()

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							snake_case_						:    Optional[Any]				=  [
							    '''l''',
							    '''o''',
							    '''w''',
							    '''e''',
							    '''r''',
							    '''s''',
							    '''t''',
							    '''i''',
							    '''d''',
							    '''n''',
							    '''w</w>''',
							    '''r</w>''',
							    '''t</w>''',
							    '''lo''',
							    '''low''',
							    '''er</w>''',
							    '''low</w>''',
							    '''lowest</w>''',
							    '''newer</w>''',
							    '''wider</w>''',
							    '''<unk>''',
							]
							snake_case_						:    Union[str, Any]				=  dict(zip(__magic_name__					,							range(len(__magic_name__    )    )    )    )
							snake_case_						:    Union[str, Any]				=  ['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

							snake_case_						:    Any				=  os.path.join(self.tmpdirname					,							VOCAB_FILES_NAMES['''vocab_file''']    )
							snake_case_						:    Dict				=  os.path.join(self.tmpdirname					,							VOCAB_FILES_NAMES['''merges_file''']    )
							with open(self.vocab_file					,							'''w'''    ) as fp:
											fp.write(json.dumps(__magic_name__    )    )
							with open(self.merges_file					,							'''w'''    ) as fp:
											fp.write('''\n'''.join(__magic_name__    )    )






			def 			lowerCamelCase  (self					,							__magic_name__    )     ->   int:


							'''simple docstring'''



							snake_case_						:    str				=  '''lower newer'''
							snake_case_						:    Dict				=  '''lower newer'''
							return input_text, output_text






			def 			lowerCamelCase  (self    )     ->   Union[str, Any]:


							'''simple docstring'''



							snake_case_						:    Optional[int]				=  BioGptTokenizer(self.vocab_file					,							self.merges_file    )

							snake_case_						:    Union[str, Any]				=  '''lower'''
							snake_case_						:    Optional[int]				=  ['''low''', '''er</w>''']
							snake_case_						:    Any				=  tokenizer.tokenize(__magic_name__    )
							self.assertListEqual(__magic_name__					,							__magic_name__    )

							snake_case_						:    Optional[int]				=  tokens + ['''<unk>''']
							snake_case_						:    List[str]				=  [14, 15, 20]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__    )					,							__magic_name__    )






			@slow
			def 			lowerCamelCase  (self    )     ->   Optional[Any]:


							'''simple docstring'''



							snake_case_						:    Optional[int]				=  BioGptTokenizer.from_pretrained('''microsoft/biogpt'''    )

							snake_case_						:    List[Any]				=  tokenizer.encode('''sequence builders'''					,							add_special_tokens=__magic_name__    )
							snake_case_						:    str				=  tokenizer.encode('''multi-sequence build'''					,							add_special_tokens=__magic_name__    )

							snake_case_						:    str				=  tokenizer.build_inputs_with_special_tokens(__magic_name__    )
							snake_case_						:    List[str]				=  tokenizer.build_inputs_with_special_tokens(__magic_name__					,							__magic_name__    )

							self.assertTrue(encoded_sentence == [2] + text    )
							self.assertTrue(encoded_pair == [2] + text + [2] + text_a    )
