

"""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  _lowerCAmelCase  (     lowercase					,unittest.TestCase       ):







 """simple docstring"""







 __UpperCAmelCase     : Any       		=     BlenderbotSmallTokenizer
 __UpperCAmelCase     : Dict       		=     False


 def  _lowercase			(      self							:      Any     ):
    super().setUp()

    __lowercase								=						["__start__", "adapt", "act", "ap@@", "te", "__end__", "__unk__"]
    __lowercase								=						dict(zip(UpperCAmelCase__, range(len(UpperCAmelCase__     )     )     )     )

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

    __lowercase								=						os.path.join(self.tmpdirname, VOCAB_FILES_NAMES["vocab_file"]     )
    __lowercase								=						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(UpperCAmelCase__     ) + "\n"     )
    with open(self.merges_file, "w", encoding="utf-8"     ) as fp:
       fp.write("\n".join(UpperCAmelCase__     )     )


 def  _lowercase			(      self							:      List[str], **UpperCAmelCase__							:      int     ):
    kwargs.update(self.special_tokens_map     )
    return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname, **UpperCAmelCase__     )


 def  _lowercase			(      self							:      int, UpperCAmelCase__							:      Dict     ):
    __lowercase								=						"adapt act apte"
    __lowercase								=						"adapt act apte"
    return input_text, output_text


 def  _lowercase			(      self							:      Optional[Any]     ):
    __lowercase								=						BlenderbotSmallTokenizer(self.vocab_file, self.merges_file, **self.special_tokens_map     )
    __lowercase								=						"adapt act apte"
    __lowercase								=						["adapt", "act", "ap@@", "te"]
    __lowercase								=						tokenizer.tokenize(UpperCAmelCase__     )
    self.assertListEqual(UpperCAmelCase__, UpperCAmelCase__     )

    __lowercase								=						[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

    __lowercase								=						[0, 1, 2, 3, 4, 5]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase__     ), UpperCAmelCase__     )


 def  _lowercase			(      self							:      int     ):
    __lowercase								=						BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"     )
    assert tok("sam"     ).input_ids == [1_3_8_4]
    __lowercase								=						"I am a small frog."
    __lowercase								=						tok([src_text], padding=UpperCAmelCase__, truncation=UpperCAmelCase__     )["input_ids"]
    __lowercase								=						tok.batch_decode(UpperCAmelCase__, skip_special_tokens=UpperCAmelCase__, clean_up_tokenization_spaces=UpperCAmelCase__     )[0]
    assert src_text != decoded  # I wish it did!
    assert decoded == "i am a small frog ."



 def  _lowercase			(      self							:      List[Any]     ):
    __lowercase								=						BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"     )
    __lowercase								=						"I am a small frog ."
    __lowercase								=						"."
    __lowercase								=						tok(UpperCAmelCase__     )["input_ids"]
    __lowercase								=						tok(UpperCAmelCase__     )["input_ids"]

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







"""simple docstring"""





import argparse
import os
import re


_a							=							'src/transformers/models/auto'


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
_a							=							re.compile(r'[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict')
# re pattern that matches identifiers in mappings
_a							=							re.compile(r'\s*\(\s*"(\S[^"]+)"')




def   _A  (  UpperCamelCase_					:	Any,      UpperCamelCase_					:	bool = False)     ->						Optional[Any]:
   '''simple docstring'''


   with open(UpperCamelCase_,      "r",      encoding="utf-8") as f:
      __lowercase								=						f.read()

   __lowercase								=						content.split("\n")
   __lowercase								=						[]
   __lowercase								=						0
   while line_idx < len(UpperCamelCase_):
      if _re_intro_mapping.search(lines[line_idx]) is not None:
         __lowercase								=						len(re.search(r"^(\s*)\S",      lines[line_idx]).groups()[0]) + 8
         # Start of a new mapping!
         while not lines[line_idx].startswith(" " * indent + "("):
            new_lines.append(lines[line_idx])
            line_idx += 1

         __lowercase								=						[]
         while lines[line_idx].strip() != "]":
            # Blocks either fit in one line or not
            if lines[line_idx].strip() == "(":
               __lowercase								=						line_idx
               while not lines[line_idx].startswith(" " * indent + ")"):
                  line_idx += 1
               blocks.append("\n".join(lines[start_idx : line_idx + 1]))
            else:
               blocks.append(lines[line_idx])
            line_idx += 1

         # Sort blocks by their identifiers
         __lowercase								=						sorted(UpperCamelCase_,      key=lambda UpperCamelCase_: _re_identifier.search(UpperCamelCase_).groups()[0])
         new_lines += blocks
      else:
         new_lines.append(lines[line_idx])
         line_idx += 1

   if overwrite:
      with open(UpperCamelCase_,      "w",      encoding="utf-8") as f:
         f.write("\n".join(UpperCamelCase_))
   elif "\n".join(UpperCamelCase_) != content:
      return True




def   _A  (  UpperCamelCase_					:	bool = False)     ->						Optional[Any]:
   '''simple docstring'''


   __lowercase								=						[os.path.join(UpperCamelCase_,      UpperCamelCase_) for f in os.listdir(UpperCamelCase_) if f.endswith(".py")]
   __lowercase								=						[sort_auto_mapping(UpperCamelCase_,      overwrite=UpperCamelCase_) for fname in fnames]

   if not overwrite and any(UpperCamelCase_):
      __lowercase								=						[f for f, d in zip(UpperCamelCase_,      UpperCamelCase_) if d]
      raise ValueError(
          F"""The following files have auto mappings that need sorting: {", ".join(UpperCamelCase_)}. Run `make style` to fix"""
          " this.")


if __name__ == "__main__":
   _a							=							argparse.ArgumentParser()
   parser.add_argument('--check_only', action='store_true', help='Whether to only check or fix style.')
   _a							=							parser.parse_args()

   sort_all_auto_mappings(not args.check_only)




