"""simple docstring"""






import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class     snake_case	(			__UpperCAmelCase				,   unittest.TestCase    ):




					"""simple docstring"""

					snake_case__       =			HerbertTokenizer
					snake_case__       =			HerbertTokenizerFast
					snake_case__       =			True







					def 		__lowerCAmelCase						(    self       :     Optional[int]      ):
									super().setUp()

									# Use a simpler test file without japanese/chinese characters
									with open(f'''{get_tests_dir()}/fixtures/sample_text_no_unicode.txt'''   ,encoding='utf-8'      ) as f_data:
													UpperCAmelCase__					=							f_data.read().replace('\n\n'   ,'\n'      ).strip()

									UpperCAmelCase__					=							[
									    '<s>',
									    '</s>',
									    '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>',
									    ',</w>',
									    '<unk>',
									]
									UpperCAmelCase__					=							dict(zip(lowerCamelCase__   ,range(len(lowerCamelCase__      )      )      )      )
									UpperCAmelCase__					=							['l o 123', 'lo w 1456', 'e r</w> 1789', '']

									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'      ) as fp:
													fp.write(json.dumps(lowerCamelCase__      )      )
									with open(self.merges_file   ,'w'      ) as fp:
													fp.write('\n'.join(lowerCamelCase__      )      )







					def 		__lowerCAmelCase						(    self       :     List[str]   ,lowerCamelCase__       :     Any      ):
									UpperCAmelCase__					=							'lower newer'
									UpperCAmelCase__					=							'lower newer'
									return input_text, output_text







					def 		__lowerCAmelCase						(    self       :     Union[str, Any]      ):
									UpperCAmelCase__					=							self.tokenizer_class(vocab_file=self.vocab_file   ,merges_file=self.merges_file      )

									UpperCAmelCase__					=							'lower'
									UpperCAmelCase__					=							['low', 'er</w>']
									UpperCAmelCase__					=							tokenizer.tokenize(lowerCamelCase__      )
									self.assertListEqual(lowerCamelCase__   ,lowerCamelCase__      )

									UpperCAmelCase__					=							tokens + ['<unk>']
									UpperCAmelCase__					=							[16, 17, 23]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__      )   ,lowerCamelCase__      )







					def 		__lowerCAmelCase						(    self       :     str      ):
									if not self.test_rust_tokenizer:
													return

									UpperCAmelCase__					=							self.get_tokenizer()
									UpperCAmelCase__					=							self.get_rust_tokenizer()

									UpperCAmelCase__					=							'lower,newer'

									UpperCAmelCase__					=							tokenizer.tokenize(lowerCamelCase__      )
									UpperCAmelCase__					=							rust_tokenizer.tokenize(lowerCamelCase__      )
									self.assertListEqual(lowerCamelCase__   ,lowerCamelCase__      )

									UpperCAmelCase__					=							tokenizer.encode(lowerCamelCase__   ,add_special_tokens=lowerCamelCase__      )
									UpperCAmelCase__					=							rust_tokenizer.encode(lowerCamelCase__   ,add_special_tokens=lowerCamelCase__      )
									self.assertListEqual(lowerCamelCase__   ,lowerCamelCase__      )

									UpperCAmelCase__					=							self.get_rust_tokenizer()
									UpperCAmelCase__					=							tokenizer.encode(lowerCamelCase__      )
									UpperCAmelCase__					=							rust_tokenizer.encode(lowerCamelCase__      )
									self.assertListEqual(lowerCamelCase__   ,lowerCamelCase__      )







					@slow
					def 		__lowerCAmelCase						(    self       :     Optional[Any]      ):
									UpperCAmelCase__					=							self.tokenizer_class.from_pretrained('allegro/herbert-base-cased'      )

									UpperCAmelCase__					=							tokenizer.encode('konstruowanie sekwencji'   ,add_special_tokens=lowerCamelCase__      )
									UpperCAmelCase__					=							tokenizer.encode('konstruowanie wielu sekwencji'   ,add_special_tokens=lowerCamelCase__      )

									UpperCAmelCase__					=							tokenizer.build_inputs_with_special_tokens(lowerCamelCase__      )
									UpperCAmelCase__					=							tokenizer.build_inputs_with_special_tokens(lowerCamelCase__   ,lowerCamelCase__      )

									assert encoded_sentence == [0] + text + [2]
									assert encoded_pair == [0] + text + [2] + text_a + [2]




"""simple docstring"""






import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


lowerCAmelCase__  :  List[Any]											=     '\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     snake_case	(			unittest.TestCase				,   __UpperCAmelCase    ):




					"""simple docstring"""

					def 		__lowerCAmelCase						(    self       :     Tuple      ):
									UpperCAmelCase__					=							load_tool('summarization'      )
									self.tool.setup()
									UpperCAmelCase__					=							load_tool('summarization'   ,remote=lowerCamelCase__      )







					def 		__lowerCAmelCase						(    self       :     Union[str, Any]      ):
									UpperCAmelCase__					=							self.tool(lowerCamelCase__      )
									self.assertEqual(
									    lowerCamelCase__   ,'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'   ,)







					def 		__lowerCAmelCase						(    self       :     Tuple      ):
									UpperCAmelCase__					=							self.remote_tool(lowerCamelCase__      )
									self.assertEqual(
									    lowerCamelCase__   ,'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'   ,)







					def 		__lowerCAmelCase						(    self       :     List[Any]      ):
									UpperCAmelCase__					=							self.tool(text=lowerCamelCase__      )
									self.assertEqual(
									    lowerCamelCase__   ,'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'   ,)







					def 		__lowerCAmelCase						(    self       :     Tuple      ):
									UpperCAmelCase__					=							self.remote_tool(text=lowerCamelCase__      )
									self.assertEqual(
									    lowerCamelCase__   ,'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'   ,)



