
"""simple docstring"""





import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin


class A_	(lowercase__				,unittest.TestCase      ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__			:						List[str]       =		BlenderbotSmallTokenizer
  SCREAMING_SNAKE_CASE__			:						List[Any]       =		False







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     super().setUp()

     UpperCAmelCase_					:					List[str]			     =    ["__start__", "adapt", "act", "ap@@", "te", "__end__", "__unk__"]
     UpperCAmelCase_					:					Any			     =    dict(zip(lowercase_				,   range(len(lowercase_  )  )  )  )

     UpperCAmelCase_					:					Dict			     =    ["#version: 0.2", "a p", "t e</w>", "ap t</w>", "a d", "ad apt</w>", "a c", "ac t</w>", ""]
     UpperCAmelCase_					:					str			     =    {"unk_token": "__unk__", "bos_token": "__start__", "eos_token": "__end__"}

     UpperCAmelCase_					:					Optional[int]			     =    os.path.join(self.tmpdirname				,   VOCAB_FILES_NAMES["vocab_file"]  )
     UpperCAmelCase_					:					List[str]			     =    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				,   **lowercase_  ):

     """simple docstring"""
     kwargs.update(self.special_tokens_map  )
     return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname				,   **lowercase_  )







  def        UpperCamelCase__					(		self				,   lowercase_  ):

     """simple docstring"""
     UpperCAmelCase_					:					List[Any]			     =    "adapt act apte"
     UpperCAmelCase_					:					str			     =    "adapt act apte"
     return input_text, output_text







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Tuple			     =    BlenderbotSmallTokenizer(self.vocab_file				,   self.merges_file				,   **self.special_tokens_map  )
     UpperCAmelCase_					:					Any			     =    "adapt act apte"
     UpperCAmelCase_					:					Union[str, Any]			     =    ["adapt", "act", "ap@@", "te"]
     UpperCAmelCase_					:					str			     =    tokenizer.tokenize(lowercase_  )
     self.assertListEqual(lowercase_				,   lowercase_  )

     UpperCAmelCase_					:					List[Any]			     =    [tokenizer.bos_token] + tokens + [tokenizer.eos_token]

     UpperCAmelCase_					:					Optional[Any]			     =    [0, 1, 2, 3, 4, 5]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_  )				,   lowercase_  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Optional[Any]			     =    BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"  )
     assert tok("sam"  ).input_ids == [1384]
     UpperCAmelCase_					:					List[Any]			     =    "I am a small frog."
     UpperCAmelCase_					:					List[Any]			     =    tok([src_text]				,   padding=lowercase_				,   truncation=lowercase_  )["input_ids"]
     UpperCAmelCase_					:					Dict			     =    tok.batch_decode(lowercase_				,   skip_special_tokens=lowercase_				,   clean_up_tokenization_spaces=lowercase_  )[0]
     assert src_text != decoded  # I wish it did!
     assert decoded == "i am a small frog ."







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Tuple			     =    BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"  )
     UpperCAmelCase_					:					List[str]			     =    "I am a small frog ."
     UpperCAmelCase_					:					Any			     =    "."
     UpperCAmelCase_					:					Union[str, Any]			     =    tok(lowercase_  )["input_ids"]
     UpperCAmelCase_					:					List[Any]			     =    tok(lowercase_  )["input_ids"]

     assert encoded[-1] == encoded_dot[0]




"""simple docstring"""





import argparse
from collections import defaultdict







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   UpperCAmelCase_					:					int			     =    f"""{file}_{class_name}_{test_name}"""
   done_test[_id] += 1

   with open(__lowerCamelCase,		"r"  ) as f:
      UpperCAmelCase_					:					List[Any]			     =    f.readlines()

   UpperCAmelCase_					:					int			     =    f"""class {class_name}("""
   UpperCAmelCase_					:					Optional[Any]			     =    f"""{4 * " "}def {test_name}("""
   UpperCAmelCase_					:					Optional[Any]			     =    f"""{8 * " "}{correct_line.split()[0]}"""
   UpperCAmelCase_					:					Tuple			     =    f"""{16 * " "}{correct_line.split()[0]}"""
   UpperCAmelCase_					:					int			     =    False
   UpperCAmelCase_					:					Union[str, Any]			     =    False
   UpperCAmelCase_					:					str			     =    False
   UpperCAmelCase_					:					Optional[Any]			     =    False
   UpperCAmelCase_					:					List[str]			     =    0
   UpperCAmelCase_					:					Optional[int]			     =    0

   UpperCAmelCase_					:					int			     =    []
   for line in lines:
      if line.startswith(__lowerCamelCase  ):
         UpperCAmelCase_					:					Tuple			     =    True
      elif in_class and line.startswith(__lowerCamelCase  ):
         UpperCAmelCase_					:					Optional[int]			     =    True
      elif in_class and in_func and (line.startswith(__lowerCamelCase  ) or line.startswith(__lowerCamelCase  )):
         UpperCAmelCase_					:					Any			     =    len(line.split(correct_line.split()[0]  )[0]  )
         count += 1

         if count == done_test[_id]:
            UpperCAmelCase_					:					Union[str, Any]			     =    True

      if in_class and in_func and in_line:
         if ")" not in line:
            continue
         else:
            UpperCAmelCase_					:					Any			     =    True

      if in_class and in_func and in_line and insert_line:
         new_lines.append(f"""{spaces * " "}{correct_line}"""  )
         UpperCAmelCase_					:					int			     =    False
      else:
         new_lines.append(__lowerCamelCase  )

   with open(__lowerCamelCase,		"w"  ) as f:
      for line in new_lines:
         f.write(__lowerCamelCase  )







def 	__a     (		__lowerCamelCase,		__lowerCamelCase=None  ):
   if fail is not None:
      with open(__lowerCamelCase,		"r"  ) as f:
         UpperCAmelCase_					:					Tuple			     =    {l.strip() for l in f.readlines()}
   else:
      UpperCAmelCase_					:					str			     =    None

   with open(__lowerCamelCase,		"r"  ) as f:
      UpperCAmelCase_					:					Optional[int]			     =    f.readlines()

   UpperCAmelCase_					:					Any			     =    defaultdict(__lowerCamelCase  )
   for line in correct_lines:
      UpperCAmelCase_     ,   UpperCAmelCase_     ,   UpperCAmelCase_     ,   UpperCAmelCase_					:					Any			     =    line.split(";"  )
      if test_failures is None or "::".join([file, class_name, test_name]  ) in test_failures:
         overwrite_file(__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  )


if __name__ == "__main__":
    _a		       =							argparse.ArgumentParser()
    parser.add_argument('--correct_filename', help='filename of tests with expected result')
    parser.add_argument('--fail_filename', help='filename of test failures', type=str, default=None)
    _a		       =							parser.parse_args()

    main(args.correct_filename, args.fail_filename)


