


"""simple docstring"""




import unittest

from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
from transformers.utils import cached_property




class  __snake_case      (unittest.TestCase     ):




							@cached_property
							def      __a      (    self:						Optional[Any]      ):
										return BlenderbotTokenizer.from_pretrained("""facebook/blenderbot-3B"""      )




							@cached_property
							def      __a      (    self:						Union[str, Any]      ):
										return BlenderbotTokenizerFast.from_pretrained("""facebook/blenderbot-3B"""      )




							def      __a      (    self:						Optional[Any]      ):
										__lowerCamelCase        =			self.tokenizer_ab
										__lowerCamelCase        =			""" I am a small frog."""
										__lowerCamelCase        =			tok([src_text]    ,       padding=A_    ,       truncation=A_      )["""input_ids"""]
										__lowerCamelCase        =			tok.batch_decode(A_    ,       skip_special_tokens=A_    ,       clean_up_tokenization_spaces=A_      )[0]
										assert src_text == decoded




							def      __a      (    self:						Tuple      ):
										__lowerCamelCase        =			self.rust_tokenizer_ab
										__lowerCamelCase        =			""" I am a small frog."""
										__lowerCamelCase        =			tok([src_text]    ,       padding=A_    ,       truncation=A_      )["""input_ids"""]
										__lowerCamelCase        =			tok.batch_decode(A_    ,       skip_special_tokens=A_    ,       clean_up_tokenization_spaces=A_      )[0]
										assert src_text == decoded




							def      __a      (    self:						Dict      ):
										assert self.tokenizer_ab.add_prefix_space
										assert self.tokenizer_ab([""" Sam""", """Sam"""]      ).input_ids == [[55_02, 2], [55_02, 2]]




							def      __a      (    self:						Any      ):
										assert self.rust_tokenizer_ab.add_prefix_space
										assert self.rust_tokenizer_ab([""" Sam""", """Sam"""]      ).input_ids == [[55_02, 2], [55_02, 2]]








"""simple docstring"""




import argparse
import logging
import sys
from unittest.mock import patch

import run_glue_with_pabee

from transformers.testing_utils import TestCasePlus


logging.basicConfig(level=logging.DEBUG)

__magic_name__	:   Optional[int]          =							logging.getLogger()





def 			a_   (  ):
			__lowerCamelCase        =			argparse.ArgumentParser()
			parser.add_argument("""-f"""    )
			__lowerCamelCase        =			parser.parse_args()
			return args.f




class  __snake_case      (lowerCamelCase     ):




							def      __a      (    self:						Optional[int]      ):
										__lowerCamelCase        =			logging.StreamHandler(sys.stdout      )
										logger.addHandler(A_      )

										__lowerCamelCase        =			self.get_auto_remove_tmp_dir()
										__lowerCamelCase        =			f'\n            run_glue_with_pabee.py\n            --model_type albert\n            --model_name_or_path albert-base-v2\n            --data_dir ./tests/fixtures/tests_samples/MRPC/\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            --task_name mrpc\n            --do_train\n            --do_eval\n            --per_gpu_train_batch_size=2\n            --per_gpu_eval_batch_size=1\n            --learning_rate=2e-5\n            --max_steps=50\n            --warmup_steps=2\n            --seed=42\n            --max_seq_length=128\n            '.split()

										with patch.object(A_    ,       """argv"""    ,       A_      ):
													__lowerCamelCase        =			run_glue_with_pabee.main()
													for value in result.values():
																self.assertGreaterEqual(A_    ,       0.75      )




