


"""simple docstring"""






# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
from typing import List




def        A_					(					UpperCAmelCase__       ,   UpperCAmelCase__				)     ->     Any:
   if name != "training_function" and name != "main":
      raise ValueError(F'Incorrect function name passed: {name}, choose either \'main\' or \'training_function\''				)
   a	, a   :	Any						=    [], False
   for line in lines:
      if not found_start and F'def {name}' in line:
         a   :	List[Any]						=    True
         good_lines.append(UpperCAmelCase__				)
         continue
      if found_start:
         if name == "training_function" and "def main" in line:
            return good_lines
         if name == "main" and "if __name__" in line:
            return good_lines
         good_lines.append(UpperCAmelCase__				)




def        A_					(					UpperCAmelCase__				)     ->     int:
   return [line for line in lines if not line.lstrip().startswith('#'				) and line != "\n"]




def        A_					(					UpperCAmelCase__       ,   UpperCAmelCase__       ,   UpperCAmelCase__       ,   UpperCAmelCase__ = None				)     ->     str:
   with open(UpperCAmelCase__       ,   'r'				) as f:
      a   :	Optional[Any]						=    f.readlines()
   with open(os.path.abspath(os.path.join('examples'       ,   'nlp_example.py'				)				)       ,   'r'				) as f:
      a   :	Tuple						=    f.readlines()
   with open(UpperCAmelCase__       ,   'r'				) as f:
      a   :	Optional[int]						=    f.readlines()
   if secondary_filename is not None:
      with open(UpperCAmelCase__       ,   'r'				) as f:
         a   :	Any						=    f.readlines()

    # This is our base, we remove all the code from here in our `full_filename` and `feature_filename` to find the new content
   if parser_only:
      a   :	Optional[Any]						=    clean_lines(get_function_contents_by_name(UpperCAmelCase__       ,   'main'				)				)
      a   :	List[str]						=    clean_lines(get_function_contents_by_name(UpperCAmelCase__       ,   'main'				)				)
      a   :	List[str]						=    clean_lines(get_function_contents_by_name(UpperCAmelCase__       ,   'main'				)				)
      if secondary_filename is not None:
         a   :	Optional[int]						=    clean_lines(get_function_contents_by_name(UpperCAmelCase__       ,   'main'				)				)
   else:
      a   :	List[Any]						=    clean_lines(get_function_contents_by_name(UpperCAmelCase__       ,   'training_function'				)				)
      a   :	int						=    clean_lines(get_function_contents_by_name(UpperCAmelCase__       ,   'training_function'				)				)
      a   :	Dict						=    clean_lines(get_function_contents_by_name(UpperCAmelCase__       ,   'training_function'				)				)
      if secondary_filename is not None:
         a   :	Optional[Any]						=    clean_lines(
             get_function_contents_by_name(UpperCAmelCase__       ,   'training_function'				)				)

   a   :	Tuple						=    'train_dataloader, eval_dataloader = get_dataloaders(accelerator, batch_size)\n'

   # Specific code in our script that differs from the full version, aka what is new
   a   :	int						=    []
   a   :	str						=    []  # We keep track of the idxs just in case it's a repeated statement
   a   :	Tuple						=    iter(UpperCAmelCase__				)
   for i in range(len(UpperCAmelCase__				) - 1				):
      if i not in passed_idxs:
         a   :	Dict						=    next(UpperCAmelCase__				)
         if (line not in full_file_func) and (line.lstrip() != _dl_line):
            if "TESTING_MOCKED_DATALOADERS" not in line:
               new_feature_code.append(UpperCAmelCase__				)
               passed_idxs.append(UpperCAmelCase__				)
            else:
               # Skip over the `config['num_epochs'] = 2` statement
               a   :	List[Any]						=    next(UpperCAmelCase__				)

    # Extract out just the new parts from the full_file_training_func
   a   :	Dict						=    []
   a   :	Union[str, Any]						=    []  # We keep track of the idxs just in case it's a repeated statement
   for i, line in enumerate(UpperCAmelCase__				):
      if i not in passed_idxs:
         if (line not in full_file_func) and (line.lstrip() != _dl_line):
            if "TESTING_MOCKED_DATALOADERS" not in line:
               new_full_example_parts.append(UpperCAmelCase__				)
               passed_idxs.append(UpperCAmelCase__				)

    # Finally, get the overall diff
   a   :	Tuple						=    [line for line in new_feature_code if line not in new_full_example_parts]
   if secondary_filename is not None:
      a   :	Optional[int]						=    [line for line in full_file_contents if line not in secondary_file_func]
      a   :	List[str]						=    [line for line in diff_from_example if line not in diff_from_two]

   return diff_from_example









"""simple docstring"""






from transformers.models.cpm.tokenization_cpm import CpmTokenizer
from transformers.testing_utils import custom_tokenizers

from ..xlnet.test_modeling_xlnet import XLNetModelTest


@custom_tokenizers
class 	A_       (     _UpperCAmelCase   ):





  """simple docstring"""

  def 							lowercase_     (						self  ,					__UpperCAmelCase  ,					__UpperCAmelCase  ,					__UpperCAmelCase  ,					__UpperCAmelCase  ,					__UpperCAmelCase						)				->					int:
     return True






  def 							lowercase_     (						self						)				->					int:
     a   :	Optional[int]						=    CpmTokenizer.from_pretrained('TsinghuaAI/CPM-Generate'						)
     a   :	Any						=    'Hugging Face大法好，谁用谁知道。'
     a   :	Tuple						=    'Hugging Face大法好,谁用谁知道。<unk>'
     a   :	Optional[int]						=    '▁Hu gg ing ▁ ▂ ▁F ace ▁大法 ▁好 ▁ , ▁谁 ▁用 ▁谁 ▁知 道 ▁ 。'.split()

     a   :	Optional[int]						=    tokenizer.tokenize(__UpperCAmelCase						)
     self.assertListEqual(__UpperCAmelCase  ,					__UpperCAmelCase						)

     a   :	Optional[Any]						=    tokens + [tokenizer.unk_token]

     a   :	str						=    [1_37_89, 1_32_83, 14_21, 8, 10, 11_64, 1_36_08, 1_65_28, 63, 8, 9, 4_40, 1_08, 4_40, 1_21, 90, 8, 12, 0]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase						)  ,					__UpperCAmelCase						)

     a   :	List[Any]						=    tokenizer.decode(__UpperCAmelCase						)
     self.assertEqual(__UpperCAmelCase  ,					__UpperCAmelCase						)





