
'''simple docstring'''


import argparse
import os
import re


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

# Matches is_xxx_available()
__lowercase							:   Optional[int]					=     re.compile(r'''is\_([a-z_]*)_available\(\)''')
# Matches from xxx import bla
__lowercase							:   Optional[Any]					=     re.compile(r'''\s+from\s+\S*\s+import\s+([^\(\s].*)\n''')


__lowercase							:   Dict					=     '''
{0} = None
'''

__lowercase							:   Optional[int]					=     '''
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})

    @classmethod
    def from_config(cls, *args, **kwargs):
        requires_backends(cls, {1})

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, {1})
'''


__lowercase							:   str					=     '''
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
'''




def lowercase_	(   _lowercase				)     ->							Dict:
					'''simple docstring'''

					lowerCamelCase_					:      str     =		_re_backend.findall(_lowercase				)
					if len(_lowercase				) == 0:
										return None

					return "_and_".join(_lowercase				)




def lowercase_	(   )     ->							Tuple:
					'''simple docstring'''

					with open(os.path.join(_lowercase			,       '''__init__.py'''				)			,       '''r'''			,       encoding='''utf-8'''			,       newline='''\n'''				) as f:
										lowerCamelCase_					:      List[str]     =		f.readlines()

					# Get to the point we do the actual imports for type checking
					lowerCamelCase_					:      Dict     =		0
					lowerCamelCase_					:      int     =		{}
					# Go through the end of the file
					while line_index < len(_lowercase				):
										# If the line contains is_backend_available, we grab all objects associated with the `else` block
										lowerCamelCase_					:      Tuple     =		find_backend(lines[line_index]				)
										if backend is not None:
															while not lines[line_index].startswith('''else:'''				):
																				line_index += 1
															line_index += 1
															lowerCamelCase_					:      int     =		[]
															# Until we unindent, add backend objects to the list
															while line_index < len(_lowercase				) and len(lines[line_index]				) > 1:
																				lowerCamelCase_					:      Dict     =		lines[line_index]
																				lowerCamelCase_					:      Optional[Any]     =		_re_single_line_import.search(_lowercase				)
																				if single_line_import_search is not None:
																									objects.extend(single_line_import_search.groups()[0].split(''', '''				)				)
																				elif line.startswith(''' ''' * 8				):
																									objects.append(line[8:-2]				)
																				line_index += 1

															if len(_lowercase				) > 0:
																				lowerCamelCase_					:      List[str]     =		objects
										else:
															line_index += 1

					return backend_specific_objects




def lowercase_	(   _lowercase			,       _lowercase				)     ->							Dict:
					'''simple docstring'''

					if name.isupper():
										return DUMMY_CONSTANT.format(_lowercase				)
					elif name.islower():
										return DUMMY_FUNCTION.format(_lowercase			,       _lowercase				)
					else:
										return DUMMY_CLASS.format(_lowercase			,       _lowercase				)




def lowercase_	(   _lowercase=None				)     ->							List[str]:
					'''simple docstring'''

					if backend_specific_objects is None:
										lowerCamelCase_					:      Optional[Any]     =		read_init()
					# For special correspondence backend to module name as used in the function requires_modulename
					lowerCamelCase_					:      Optional[int]     =		{}

					for backend, objects in backend_specific_objects.items():
										lowerCamelCase_					:      Tuple     =		'[' + ', '.join(F"""\"{b}\"""" for b in backend.split('''_and_'''				)				) + ']'
										lowerCamelCase_					:      Union[str, Any]     =		'# This file is autogenerated by the command `make fix-copies`, do not edit.\n'
										dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
										dummy_file += "\n".join([create_dummy_object(_lowercase			,       _lowercase				) for o in objects]				)
										lowerCamelCase_					:      List[str]     =		dummy_file

					return dummy_files




def lowercase_	(   _lowercase=False				)     ->							List[Any]:
					'''simple docstring'''

					lowerCamelCase_					:      Dict     =		create_dummy_files()
					# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
					lowerCamelCase_					:      Union[str, Any]     =		{'torch': 'pt'}

					# Locate actual dummy modules and read their content.
					lowerCamelCase_					:      List[Any]     =		os.path.join(_lowercase			,       '''utils'''				)
					lowerCamelCase_					:      int     =		{
					    backend: os.path.join(_lowercase			,       F"""dummy_{short_names.get(_lowercase			,       _lowercase				)}_objects.py"""				)
					    for backend in dummy_files.keys()
					}

					lowerCamelCase_					:      int     =		{}
					for backend, file_path in dummy_file_paths.items():
										if os.path.isfile(_lowercase				):
															with open(_lowercase			,       '''r'''			,       encoding='''utf-8'''			,       newline='''\n'''				) as f:
																				lowerCamelCase_					:      List[Any]     =		f.read()
										else:
															lowerCamelCase_					:      Tuple     =		''

					for backend in dummy_files.keys():
										if dummy_files[backend] != actual_dummies[backend]:
															if overwrite:
																				print(
																				    F"""Updating diffusers.utils.dummy_{short_names.get(_lowercase			,       _lowercase				)}_objects.py as the main """
																				    '''__init__ has new objects.'''				)
																				with open(dummy_file_paths[backend]			,       '''w'''			,       encoding='''utf-8'''			,       newline='''\n'''				) as f:
																									f.write(dummy_files[backend]				)
															else:
																				raise ValueError(
																				    '''The main __init__ has objects that are not present in '''
																				    F"""diffusers.utils.dummy_{short_names.get(_lowercase			,       _lowercase				)}_objects.py. Run `make fix-copies` """
																				    '''to fix this.'''				)


if __name__ == "__main__":
					__lowercase							:   int					=     argparse.ArgumentParser()
					parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
					__lowercase							:   Tuple					=     parser.parse_args()

					check_dummies(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 	__lowercase				(  _lowercase    ):

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Any     =		tempfile.mkdtemp()
								lowerCamelCase_					:      Optional[int]     =		5

								# Realm tok
								lowerCamelCase_					:      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''',
								]
								lowerCamelCase_					:      Optional[int]     =		os.path.join(self.tmpdirname			,   '''realm_tokenizer'''      )
								os.makedirs(A			,   exist_ok=A      )
								lowerCamelCase_					:      str     =		os.path.join(A			,   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]      )      )

								lowerCamelCase_					:      List[Any]     =		os.path.join(self.tmpdirname			,   '''realm_block_records'''      )
								os.makedirs(A			,   exist_ok=A      )

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

			def        UpperCAmelCase__ (self      ):
								shutil.rmtree(self.tmpdirname      )

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      int     =		RealmConfig(num_block_records=self.num_block_records      )
								return config

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Optional[int]     =		Dataset.from_dict(
								    {
								        '''id''': ['''0''', '''1'''],
								        '''question''': ['''foo''', '''bar'''],
								        '''answers''': [['''Foo''', '''Bar'''], ['''Bar''']],
								    }      )
								return dataset

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      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=A			,   )
								return block_records

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Dict     =		RealmRetriever(
								    block_records=self.get_dummy_block_records()			,   tokenizer=self.get_tokenizer()			,   )
								return retriever

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Optional[Any]     =		self.get_config()
								lowerCamelCase_					:      List[Any]     =		self.get_dummy_retriever()
								lowerCamelCase_					:      Dict     =		retriever.tokenizer

								lowerCamelCase_					:      List[Any]     =		np.array([0, 3]			,   dtype='''long'''      )
								lowerCamelCase_					:      int     =		tokenizer(['''Test question''']      ).input_ids
								lowerCamelCase_					:      Any     =		tokenizer(
								    ['''the fourth''']			,   add_special_tokens=A			,   return_token_type_ids=A			,   return_attention_mask=A			,   ).input_ids
								lowerCamelCase_					:      Any     =		config.reader_seq_len

								lowerCamelCase_,      lowerCamelCase_,      lowerCamelCase_,      lowerCamelCase_					:      Tuple     =		retriever(
								    A			,   A			,   answer_ids=A			,   max_length=A			,   return_tensors='''np'''      )

								self.assertEqual(len(A      )			,   2      )
								self.assertEqual(len(A      )			,   2      )
								self.assertEqual(len(A      )			,   2      )
								self.assertEqual(concat_inputs.input_ids.shape			,   (2, 1_0)      )
								self.assertEqual(concat_inputs.attention_mask.shape			,   (2, 1_0)      )
								self.assertEqual(concat_inputs.token_type_ids.shape			,   (2, 1_0)      )
								self.assertEqual(concat_inputs.special_tokens_mask.shape			,   (2, 1_0)      )
								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        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      str     =		self.get_config()
								lowerCamelCase_					:      Optional[Any]     =		self.get_dummy_retriever()
								lowerCamelCase_					:      Optional[int]     =		retriever.tokenizer

								lowerCamelCase_					:      int     =		np.array([0, 3, 5]			,   dtype='''long'''      )
								lowerCamelCase_					:      List[Any]     =		tokenizer(['''Test question''']      ).input_ids
								lowerCamelCase_					:      int     =		tokenizer(
								    ['''the fourth''', '''longer longer''']			,   add_special_tokens=A			,   return_token_type_ids=A			,   return_attention_mask=A			,   ).input_ids
								lowerCamelCase_					:      Tuple     =		config.reader_seq_len

								lowerCamelCase_,      lowerCamelCase_,      lowerCamelCase_,      lowerCamelCase_					:      int     =		retriever(
								    A			,   A			,   answer_ids=A			,   max_length=A			,   return_tensors='''np'''      )

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






			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Any     =		self.get_dummy_retriever()
								retriever.save_pretrained(os.path.join(self.tmpdirname			,   '''realm_block_records'''      )      )

								# Test local path
								lowerCamelCase_					:      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:
													lowerCamelCase_					:      Dict     =		os.path.join(
													    os.path.join(self.tmpdirname			,   '''realm_block_records'''      )			,   _REALM_BLOCK_RECORDS_FILENAME      )
													lowerCamelCase_					:      str     =		RealmRetriever.from_pretrained('''google/realm-cc-news-pretrained-openqa'''      )

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


