





'''simple docstring'''




import argparse
import glob
import importlib.util
import os
import re

import black
from doc_builder.style_doc import style_docstrings_in_code


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
lowercase__    :      List[str]						=    '''src/diffusers'''
lowercase__    :      Union[str, Any]						=    '''.'''


# This is to make sure the diffusers module imported is the one in the repo.
lowercase__    :      List[Any]						=    importlib.util.spec_from_file_location(
    '''diffusers''',
    os.path.join(DIFFUSERS_PATH, '''__init__.py'''),
    submodule_search_locations=[DIFFUSERS_PATH],
)
lowercase__    :      Optional[int]						=    spec.loader.load_module()






def        _lowerCAmelCase			(  __snake_case  : Optional[Any] ,							__snake_case  : List[str]			)     ->     Optional[int]:
     return line.startswith(__snake_case			) or len(__snake_case			) <= 1 or re.search(r'^\s*\)(\s*->.*:|:)\s*$' ,							__snake_case			) is not None






def        _lowerCAmelCase			(  __snake_case  : Optional[int]			)     ->     Tuple:
     __A						: Dict      =       object_name.split('.'			)
     __A						: str      =       0

     # First let's find the module where our object lives.
     __A						: int      =       parts[i]
     while i < len(__snake_case			) and not os.path.isfile(os.path.join(__snake_case ,							f'{module}.py'			)			):
          i += 1
          if i < len(__snake_case			):
               __A						: str      =       os.path.join(__snake_case ,							parts[i]			)
     if i >= len(__snake_case			):
          raise ValueError(f'`object_name` should begin with the name of a module of diffusers but got {object_name}.'			)

     with open(os.path.join(__snake_case ,							f'{module}.py'			) ,							'r' ,							encoding='utf-8' ,							newline='\n'			) as f:
          __A						: Dict      =       f.readlines()

     # Now let's find the class / func in the code!
     __A						: Tuple      =       ''
     __A						: int      =       0
     for name in parts[i + 1 :]:
          while (
              line_index < len(__snake_case			) and re.search(rf'^{indent}(class|def)\s+{name}(\(|\:)' ,							lines[line_index]			) is None
          ):
               line_index += 1
          indent += "    "
          line_index += 1

     if line_index >= len(__snake_case			):
          raise ValueError(f' {object_name} does not match any function or class in {module}.'			)

     # We found the beginning of the class / func, now let's find the end (when the indent diminishes).
     __A						: List[str]      =       line_index
     while line_index < len(__snake_case			) and _should_continue(lines[line_index] ,							__snake_case			):
          line_index += 1
     # Clean up empty lines at the end (if any).
     while len(lines[line_index - 1]			) <= 1:
          line_index -= 1

     __A						: List[str]      =       lines[start_index:line_index]
     return "".join(__snake_case			)


lowercase__    :      int						=    re.compile(r'''^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)''')
lowercase__    :      List[str]						=    re.compile(r'''^\s*(\S+)->(\S+)(\s+.*|$)''')
lowercase__    :      Union[str, Any]						=    re.compile(r'''<FILL\s+[^>]*>''')






def        _lowerCAmelCase			(  __snake_case  : Tuple			)     ->     Tuple:
     __A						: List[Any]      =       code.split('\n'			)
     __A						: List[Any]      =       0
     while idx < len(__snake_case			) and len(lines[idx]			) == 0:
          idx += 1
     if idx < len(__snake_case			):
          return re.search(r'^(\s*)\S' ,							lines[idx]			).groups()[0]
     return ""






def        _lowerCAmelCase			(  __snake_case  : Union[str, Any]			)     ->     Tuple:
     __A						: Optional[int]      =       len(get_indent(__snake_case			)			) > 0
     if has_indent:
          __A						: List[str]      =       f'class Bla:\n{code}'
     __A						: Any      =       black.Mode(target_versions={black.TargetVersion.PYaa} ,							line_length=1_19 ,							preview=__snake_case			)
     __A						: List[Any]      =       black.format_str(__snake_case ,							mode=__snake_case			)
     __A ,__A						: int      =       style_docstrings_in_code(__snake_case			)
     return result[len('class Bla:\n'			) :] if has_indent else result






def        _lowerCAmelCase			(  __snake_case  : List[Any] ,							__snake_case  : Union[str, Any]=False			)     ->     Union[str, Any]:
     with open(__snake_case ,							'r' ,							encoding='utf-8' ,							newline='\n'			) as f:
          __A						: Optional[int]      =       f.readlines()
     __A						: Union[str, Any]      =       []
     __A						: Any      =       0
     # Not a for loop cause `lines` is going to change (if `overwrite=True`).
     while line_index < len(__snake_case			):
          __A						: Tuple      =       _re_copy_warning.search(lines[line_index]			)
          if search is None:
               line_index += 1
               continue

          # There is some copied code here, let's retrieve the original.
          __A ,__A ,__A						: Optional[int]      =       search.groups()
          __A						: List[str]      =       find_code_in_diffusers(__snake_case			)
          __A						: Optional[Any]      =       get_indent(__snake_case			)

          __A						: str      =       line_index + 1 if indent == theoretical_indent else line_index + 2
          __A						: str      =       theoretical_indent
          __A						: Tuple      =       start_index

          # Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
          __A						: Tuple      =       True
          while line_index < len(__snake_case			) and should_continue:
               line_index += 1
               if line_index >= len(__snake_case			):
                    break
               __A						: List[str]      =       lines[line_index]
               __A						: str      =       _should_continue(__snake_case ,							__snake_case			) and re.search(f'^{indent}# End copy' ,							__snake_case			) is None
          # Clean up empty lines at the end (if any).
          while len(lines[line_index - 1]			) <= 1:
               line_index -= 1

          __A						: Optional[Any]      =       lines[start_index:line_index]
          __A						: List[str]      =       ''.join(__snake_case			)

          # Remove any nested `Copied from` comments to avoid circular copies
          __A						: Dict      =       [line for line in theoretical_code.split('\n'			) if _re_copy_warning.search(__snake_case			) is None]
          __A						: List[Any]      =       '\n'.join(__snake_case			)

          # Before comparing, use the `replace_pattern` on the original code.
          if len(__snake_case			) > 0:
               __A						: Tuple      =       replace_pattern.replace('with' ,							''			).split(','			)
               __A						: Any      =       [_re_replace_pattern.search(__snake_case			) for p in patterns]
               for pattern in patterns:
                    if pattern is None:
                         continue
                    __A ,__A ,__A						: Union[str, Any]      =       pattern.groups()
                    __A						: Union[str, Any]      =       re.sub(__snake_case ,							__snake_case ,							__snake_case			)
                    if option.strip() == "all-casing":
                         __A						: Optional[int]      =       re.sub(obja.lower() ,							obja.lower() ,							__snake_case			)
                         __A						: Any      =       re.sub(obja.upper() ,							obja.upper() ,							__snake_case			)

            # Blackify after replacement. To be able to do that, we need the header (class or function definition)
            # from the previous line
               __A						: Any      =       blackify(lines[start_index - 1] + theoretical_code			)
               __A						: List[Any]      =       theoretical_code[len(lines[start_index - 1]			) :]

          # Test for a diff and act accordingly.
          if observed_code != theoretical_code:
               diffs.append([object_name, start_index]			)
               if overwrite:
                    __A						: Dict      =       lines[:start_index] + [theoretical_code] + lines[line_index:]
                    __A						: int      =       start_index + 1

     if overwrite and len(__snake_case			) > 0:
          # Warn the user a file has been modified.
          print(f'Detected changes, rewriting {filename}.'			)
          with open(__snake_case ,							'w' ,							encoding='utf-8' ,							newline='\n'			) as f:
               f.writelines(__snake_case			)
     return diffs






def        _lowerCAmelCase			(  __snake_case  : bool = False			)     ->     List[str]:
     __A						: int      =       glob.glob(os.path.join(__snake_case ,							'**/*.py'			) ,							recursive=__snake_case			)
     __A						: Union[str, Any]      =       []
     for filename in all_files:
          __A						: List[str]      =       is_copy_consistent(__snake_case ,							__snake_case			)
          diffs += [f'- {filename}: copy does not match {d[0]} at line {d[1]}' for d in new_diffs]
     if not overwrite and len(__snake_case			) > 0:
          __A						: List[Any]      =       '\n'.join(__snake_case			)
          raise Exception(
              'Found the following copy inconsistencies:\n'
              + diff
              + '\nRun `make fix-copies` or `python utils/check_copies.py --fix_and_overwrite` to fix them.'			)


if __name__ == "__main__":
  lowercase__    :      Union[str, Any]						=    argparse.ArgumentParser()
  parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
  lowercase__    :      List[str]						=    parser.parse_args()

  check_copies(args.fix_and_overwrite)






'''simple docstring'''




import os
import shutil
import tempfile
from unittest import TestCase
from unittest.mock import patch

import numpy as np
from datasets import Dataset

from transformers.models.realm.configuration_realm import RealmConfig
from transformers.models.realm.retrieval_realm import _REALM_BLOCK_RECORDS_FILENAME, RealmRetriever
from transformers.models.realm.tokenization_realm import VOCAB_FILES_NAMES, RealmTokenizer


class  SCREAMING_SNAKE_CASE    (a__							):


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: Any      =       tempfile.mkdtemp()
          __A						: str      =       5

          # Realm tok
          __A						: Union[str, Any]      =       [
              '[UNK]',
              '[CLS]',
              '[SEP]',
              '[PAD]',
              '[MASK]',
              'test',
              'question',
              'this',
              'is',
              'the',
              'first',
              'second',
              'third',
              'fourth',
              'fifth',
              'record',
              'want',
              '##want',
              '##ed',
              'wa',
              'un',
              'runn',
              '##ing',
              ',',
              'low',
              'lowest',
          ]
          __A						: Union[str, Any]      =       os.path.join(self.tmpdirname						,	'realm_tokenizer')
          os.makedirs(_UpperCAmelCase						,	exist_ok=_UpperCAmelCase)
          __A						: Tuple      =       os.path.join(_UpperCAmelCase						,	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]))

          __A						: int      =       os.path.join(self.tmpdirname						,	'realm_block_records')
          os.makedirs(_UpperCAmelCase						,	exist_ok=_UpperCAmelCase)


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          return RealmTokenizer.from_pretrained(os.path.join(self.tmpdirname						,	'realm_tokenizer'))


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          shutil.rmtree(self.tmpdirname)


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: Union[str, Any]      =       RealmConfig(num_block_records=self.num_block_records)
          return config


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: Dict      =       Dataset.from_dict(
              {
                  'id': ['0', '1'],
                  'question': ['foo', 'bar'],
                  'answers': [['Foo', 'Bar'], ['Bar']],
              })
          return dataset


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: Any      =       np.array(
              [
                  B'This is the first record',
                  B'This is the second record',
                  B'This is the third record',
                  B'This is the fourth record',
                  B'This is the fifth record',
                  B'This is a longer longer longer record',
              ]						,	dtype=_UpperCAmelCase						,	)
          return block_records


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: Optional[Any]      =       RealmRetriever(
              block_records=self.get_dummy_block_records()						,	tokenizer=self.get_tokenizer()						,	)
          return retriever


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: List[Any]      =       self.get_config()
          __A						: str      =       self.get_dummy_retriever()
          __A						: List[str]      =       retriever.tokenizer

          __A						: Dict      =       np.array([0, 3]						,	dtype='long')
          __A						: Dict      =       tokenizer(['Test question']).input_ids
          __A						: Optional[Any]      =       tokenizer(
              ['the fourth']						,	add_special_tokens=_UpperCAmelCase						,	return_token_type_ids=_UpperCAmelCase						,	return_attention_mask=_UpperCAmelCase						,	).input_ids
          __A						: str      =       config.reader_seq_len

          __A ,__A ,__A ,__A						: List[str]      =       retriever(
              _UpperCAmelCase						,	_UpperCAmelCase						,	answer_ids=_UpperCAmelCase						,	max_length=_UpperCAmelCase						,	return_tensors='np')

          self.assertEqual(len(_UpperCAmelCase)						,	2)
          self.assertEqual(len(_UpperCAmelCase)						,	2)
          self.assertEqual(len(_UpperCAmelCase)						,	2)
          self.assertEqual(concat_inputs.input_ids.shape						,	(2, 10))
          self.assertEqual(concat_inputs.attention_mask.shape						,	(2, 10))
          self.assertEqual(concat_inputs.token_type_ids.shape						,	(2, 10))
          self.assertEqual(concat_inputs.special_tokens_mask.shape						,	(2, 10))
          self.assertEqual(
              tokenizer.convert_ids_to_tokens(concat_inputs.input_ids[0])						,	['[CLS]', 'test', 'question', '[SEP]', 'this', 'is', 'the', 'first', 'record', '[SEP]']						,	)
          self.assertEqual(
              tokenizer.convert_ids_to_tokens(concat_inputs.input_ids[1])						,	['[CLS]', 'test', 'question', '[SEP]', 'this', 'is', 'the', 'fourth', 'record', '[SEP]']						,	)


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: int      =       self.get_config()
          __A						: Any      =       self.get_dummy_retriever()
          __A						: str      =       retriever.tokenizer

          __A						: Dict      =       np.array([0, 3, 5]						,	dtype='long')
          __A						: Tuple      =       tokenizer(['Test question']).input_ids
          __A						: Union[str, Any]      =       tokenizer(
              ['the fourth', 'longer longer']						,	add_special_tokens=_UpperCAmelCase						,	return_token_type_ids=_UpperCAmelCase						,	return_attention_mask=_UpperCAmelCase						,	).input_ids
          __A						: Dict      =       config.reader_seq_len

          __A ,__A ,__A ,__A						: str      =       retriever(
              _UpperCAmelCase						,	_UpperCAmelCase						,	answer_ids=_UpperCAmelCase						,	max_length=_UpperCAmelCase						,	return_tensors='np')

          self.assertEqual([False, True, True]						,	_UpperCAmelCase)
          self.assertEqual([[-1, -1, -1], [6, -1, -1], [6, 7, 8]]						,	_UpperCAmelCase)
          self.assertEqual([[-1, -1, -1], [7, -1, -1], [7, 8, 9]]						,	_UpperCAmelCase)


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: Optional[Any]      =       self.get_dummy_retriever()
          retriever.save_pretrained(os.path.join(self.tmpdirname						,	'realm_block_records'))

          # Test local path
          __A						: str      =       retriever.from_pretrained(os.path.join(self.tmpdirname						,	'realm_block_records'))
          self.assertEqual(retriever.block_records[0]						,	B'This is the first record')

          # Test mocked remote path
          with patch('transformers.models.realm.retrieval_realm.hf_hub_download') as mock_hf_hub_download:
               __A						: int      =       os.path.join(
                   os.path.join(self.tmpdirname						,	'realm_block_records')						,	_REALM_BLOCK_RECORDS_FILENAME)
               __A						: Tuple      =       RealmRetriever.from_pretrained('google/realm-cc-news-pretrained-openqa')

          self.assertEqual(retriever.block_records[0]						,	B'This is the first record')