






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      __SCREAMING_SNAKE_CASE(		a_			,     unittest.TestCase		):
							_UpperCAmelCase       			=				CpmAntTokenizer
							_UpperCAmelCase       			=				False
							def lowerCAmelCase_       (   self:					Dict  )						->						str:
											super().setUp()

											snake_case__													=   [
											    "<d>",
											    "</d>",
											    "<s>",
											    "</s>",
											    "</_>",
											    "<unk>",
											    "<pad>",
											    "</n>",
											    "我",
											    "是",
											    "C",
											    "P",
											    "M",
											    "A",
											    "n",
											    "t",
											]
											snake_case__													=   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 lowerCAmelCase_       (   self:					List[str]  )						->						Optional[Any]:
											snake_case__													=   CpmAntTokenizer.from_pretrained('openbmb/cpm-ant-10b'  )
											snake_case__													=   "今天天气真好！"
											snake_case__													=   ["今天", "天气", "真", "好", "！"]
											snake_case__													=   tokenizer.tokenize(_a  )
											self.assertListEqual(_a				,		_a  )
											snake_case__													=   "今天天气真好！"
											snake_case__													=   [tokenizer.bos_token] + tokens

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

											snake_case__													=   tokenizer.decode(_a  )
											self.assertEqual(_a				,		_a  )






"""simple docstring"""




import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


_A			:       int   		=       """
Hugging 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.

In March 2021, Hugging Face raised $40 million in a Series B funding round.[3]

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.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]
"""

class 		a__						(      unittest.TestCase,			a_						):
   def 			__magic_name__			(			self				):
          lowercase    :				Tuple       		=							load_tool("text-question-answering"				)
          self.tool.setup()
          lowercase    :				Dict       		=							load_tool("text-question-answering"	,    remote=_a				)
   def 			__magic_name__			(			self				):
          lowercase    :				str       		=							self.tool(_a	,    "What did Hugging Face do in April 2021?"				)
          self.assertEqual(_a	,    "launched the BigScience Research Workshop"				)
   def 			__magic_name__			(			self				):
          lowercase    :				Union[str, Any]       		=							self.remote_tool(_a	,    "What did Hugging Face do in April 2021?"				)
          self.assertEqual(_a	,    "launched the BigScience Research Workshop"				)
   def 			__magic_name__			(			self				):
          lowercase    :				int       		=							self.tool(text=_a	,    question="What did Hugging Face do in April 2021?"				)
          self.assertEqual(_a	,    "launched the BigScience Research Workshop"				)

   def 			__magic_name__			(			self				):
          lowercase    :				Optional[Any]       		=							self.remote_tool(text=_a	,    question="What did Hugging Face do in April 2021?"				)
          self.assertEqual(_a	,    "launched the BigScience Research Workshop"				)


