
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											=    """src/diffusers"""
_lowercase											=    """."""


# This is to make sure the diffusers module imported is the one in the repo.
_lowercase											=    importlib.util.spec_from_file_location(
    """diffusers""",
    os.path.join(DIFFUSERS_PATH, """__init__.py"""),
    submodule_search_locations=[DIFFUSERS_PATH],
)
_lowercase											=    spec.loader.load_module()
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Any			,							UpperCAmelCase_	:     Any				)			->						Union[str, Any]:
       return line.startswith(__snake_case				) or len(__snake_case				) <= 1 or re.search(R'''^\s*\)(\s*->.*:|:)\s*$'''			,							__snake_case				) is not None
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[str]				)			->						int:
       SCREAMING_SNAKE_CASE_							:				Any		=object_name.split('''.'''				)
       SCREAMING_SNAKE_CASE_							:				List[Any]		=0

       # First let's find the module where our object lives.
       SCREAMING_SNAKE_CASE_							:				Optional[Any]		=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				):
                     SCREAMING_SNAKE_CASE_							:				Optional[Any]		=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:
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=f.readlines()

       # Now let's find the class / func in the code!
       SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=''''''
       SCREAMING_SNAKE_CASE_							:				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).
       SCREAMING_SNAKE_CASE_							:				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

       SCREAMING_SNAKE_CASE_							:				Optional[Any]		=lines[start_index:line_index]
       return "".join(__snake_case				)


_lowercase											=    re.compile(R"""^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)""")
_lowercase											=    re.compile(R"""^\s*(\S+)->(\S+)(\s+.*|$)""")
_lowercase											=    re.compile(R"""<FILL\s+[^>]*>""")
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[Any]				)			->						List[Any]:
       SCREAMING_SNAKE_CASE_							:				Tuple		=code.split('''\n'''				)
       SCREAMING_SNAKE_CASE_							:				Dict		=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 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[Any]				)			->						List[Any]:
       SCREAMING_SNAKE_CASE_							:				Any		=len(get_indent(__snake_case				)				) > 0
       if has_indent:
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=f'class Bla:\n{code}'
       SCREAMING_SNAKE_CASE_							:				List[Any]		=black.Mode(target_versions={black.TargetVersion.PYaa}			,							line_length=1_1_9			,							preview=__snake_case				)
       SCREAMING_SNAKE_CASE_							:				Optional[int]		=black.format_str(__snake_case			,							mode=__snake_case				)
       SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=style_docstrings_in_code(__snake_case				)
       return result[len('''class Bla:\n'''				) :] if has_indent else result
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     int			,							UpperCAmelCase_	:     Optional[Any]=False				)			->						int:
       with open(__snake_case			,							'''r'''			,							encoding='''utf-8'''			,							newline='''\n'''				) as f:
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=f.readlines()
       SCREAMING_SNAKE_CASE_							:				int		=[]
       SCREAMING_SNAKE_CASE_							:				Dict		=0
       # Not a for loop cause `lines` is going to change (if `overwrite=True`).
       while line_index < len(__snake_case				):
              SCREAMING_SNAKE_CASE_							:				List[Any]		=_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.
              SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_							:				str		=search.groups()
              SCREAMING_SNAKE_CASE_							:				Dict		=find_code_in_diffusers(__snake_case				)
              SCREAMING_SNAKE_CASE_							:				Any		=get_indent(__snake_case				)

              SCREAMING_SNAKE_CASE_							:				List[str]		=line_index + 1 if indent == theoretical_indent else line_index + 2
              SCREAMING_SNAKE_CASE_							:				Dict		=theoretical_indent
              SCREAMING_SNAKE_CASE_							:				List[Any]		=start_index

              # Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=True
              while line_index < len(__snake_case				) and should_continue:
                     line_index += 1
                     if line_index >= len(__snake_case				):
                            break
                     SCREAMING_SNAKE_CASE_							:				Optional[int]		=lines[line_index]
                     SCREAMING_SNAKE_CASE_							:				int		=_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

              SCREAMING_SNAKE_CASE_							:				Tuple		=lines[start_index:line_index]
              SCREAMING_SNAKE_CASE_							:				int		=''''''.join(__snake_case				)

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

              # Before comparing, use the `replace_pattern` on the original code.
              if len(__snake_case				) > 0:
                     SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=replace_pattern.replace('''with'''			,							''''''				).split(''','''				)
                     SCREAMING_SNAKE_CASE_							:				Optional[Any]		=[_re_replace_pattern.search(__snake_case				) for p in patterns]
                     for pattern in patterns:
                            if pattern is None:
                                   continue
                            SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_							:				List[str]		=pattern.groups()
                            SCREAMING_SNAKE_CASE_							:				str		=re.sub(__snake_case			,							__snake_case			,							__snake_case				)
                            if option.strip() == "all-casing":
                                   SCREAMING_SNAKE_CASE_							:				Any		=re.sub(obja.lower()			,							obja.lower()			,							__snake_case				)
                                   SCREAMING_SNAKE_CASE_							:				Dict		=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
                     SCREAMING_SNAKE_CASE_							:				List[str]		=blackify(lines[start_index - 1] + theoretical_code				)
                     SCREAMING_SNAKE_CASE_							:				int		=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:
                            SCREAMING_SNAKE_CASE_							:				Tuple		=lines[:start_index] + [theoretical_code] + lines[line_index:]
                            SCREAMING_SNAKE_CASE_							:				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 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[Any] = False				)			->						Dict:
       SCREAMING_SNAKE_CASE_							:				List[str]		=glob.glob(os.path.join(__snake_case			,							'''**/*.py'''				)			,							recursive=__snake_case				)
       SCREAMING_SNAKE_CASE_							:				Optional[int]		=[]
       for filename in all_files:
              SCREAMING_SNAKE_CASE_							:				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:
              SCREAMING_SNAKE_CASE_							:				Optional[int]		='''\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											=    argparse.ArgumentParser()
 parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
 _lowercase											=    parser.parse_args()

 check_copies(args.fix_and_overwrite)

from __future__ import annotations

import unittest

import numpy as np

from transformers import BlipTextConfig
from transformers.testing_utils import require_tf, slow
from transformers.utils import is_tf_available

from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask


if is_tf_available():
					import tensorflow as tf

					from transformers import TFBlipTextModel
					from transformers.models.blip.modeling_tf_blip import TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST
class     lowerCAmelCase_     :







							def __init__(   self      :     Any ,			_A      :     int ,			_A      :     int=12 ,			_A      :     int=7 ,			_A      :     Tuple=True ,			_A      :     Optional[int]=True ,			_A      :     Union[str, Any]=True ,			_A      :     str=99 ,			_A      :     str=32 ,			_A      :     int=32 ,			_A      :     Optional[Any]=2 ,			_A      :     Dict=4 ,			_A      :     int=37 ,			_A      :     List[Any]=0.1 ,			_A      :     str=0.1 ,			_A      :     Any=512 ,			_A      :     int=0.02 ,			_A      :     Optional[Any]=0 ,			_A      :     Dict=None ,			):
												_UpperCamelCase			     =     parent
												_UpperCamelCase			     =     batch_size
												_UpperCamelCase			     =     seq_length
												_UpperCamelCase			     =     is_training
												_UpperCamelCase			     =     use_input_mask
												_UpperCamelCase			     =     use_labels
												_UpperCamelCase			     =     vocab_size
												_UpperCamelCase			     =     hidden_size
												_UpperCamelCase			     =     projection_dim
												_UpperCamelCase			     =     num_hidden_layers
												_UpperCamelCase			     =     num_attention_heads
												_UpperCamelCase			     =     intermediate_size
												_UpperCamelCase			     =     dropout
												_UpperCamelCase			     =     attention_dropout
												_UpperCamelCase			     =     max_position_embeddings
												_UpperCamelCase			     =     initializer_range
												_UpperCamelCase			     =     scope
												_UpperCamelCase			     =     bos_token_id







							def  UpperCamelCase_						(   self      :     List[str]		):
												_UpperCamelCase			     =     ids_tensor([self.batch_size, self.seq_length] ,			self.vocab_size		)

												_UpperCamelCase			     =     None
												if self.use_input_mask:
																	_UpperCamelCase			     =     random_attention_mask([self.batch_size, self.seq_length]		)

												if input_mask is not None:
																	_UpperCamelCase			     =     input_mask.numpy()
																	_UpperCamelCase     ,    _UpperCamelCase			     =     input_mask.shape
																	_UpperCamelCase			     =     np.random.randint(1 ,			seq_length - 1 ,			size=(batch_size,)		)
																	for batch_idx, start_index in enumerate(_A		):
																						_UpperCamelCase			     =     1
																						_UpperCamelCase			     =     0

												_UpperCamelCase			     =     self.get_config()

												return config, input_ids, tf.convert_to_tensor(_A		)







							def  UpperCamelCase_						(   self      :     str		):
												return BlipTextConfig(
												    vocab_size=self.vocab_size ,			hidden_size=self.hidden_size ,			projection_dim=self.projection_dim ,			num_hidden_layers=self.num_hidden_layers ,			num_attention_heads=self.num_attention_heads ,			intermediate_size=self.intermediate_size ,			dropout=self.dropout ,			attention_dropout=self.attention_dropout ,			max_position_embeddings=self.max_position_embeddings ,			initializer_range=self.initializer_range ,			bos_token_id=self.bos_token_id ,			)







							def  UpperCamelCase_						(   self      :     List[str] ,			_A      :     Tuple ,			_A      :     str ,			_A      :     Optional[Any]		):
												_UpperCamelCase			     =     TFBlipTextModel(config=_A		)
												_UpperCamelCase			     =     model(_A ,			attention_mask=_A ,			training=_A		)
												_UpperCamelCase			     =     model(_A ,			training=_A		)
												self.parent.assertEqual(result.last_hidden_state.shape ,			(self.batch_size, self.seq_length, self.hidden_size)		)
												self.parent.assertEqual(result.pooler_output.shape ,			(self.batch_size, self.hidden_size)		)







							def  UpperCamelCase_						(   self      :     Tuple		):
												_UpperCamelCase			     =     self.prepare_config_and_inputs()
												_UpperCamelCase     ,    _UpperCamelCase     ,    _UpperCamelCase			     =     config_and_inputs
												_UpperCamelCase			     =     {'''input_ids''': input_ids, '''attention_mask''': input_mask}
												return config, inputs_dict




@require_tf
class     lowerCAmelCase_     (       __lowercase,  unittest.TestCase ):
							UpperCAmelCase				   =     (TFBlipTextModel,) if is_tf_available() else ()
							UpperCAmelCase				   =     False
							UpperCAmelCase				   =     False
							UpperCAmelCase				   =     False







							def  UpperCamelCase_						(   self      :     Dict		):
												_UpperCamelCase			     =     BlipTextModelTester(self		)
												_UpperCamelCase			     =     ConfigTester(self ,			config_class=_A ,			hidden_size=37		)







							def  UpperCamelCase_						(   self      :     Dict		):
												self.config_tester.run_common_tests()







							def  UpperCamelCase_						(   self      :     int		):
												_UpperCamelCase			     =     self.model_tester.prepare_config_and_inputs()
												self.model_tester.create_and_check_model(*_A		)







							def  UpperCamelCase_						(   self      :     List[Any]		):
												pass







							def  UpperCamelCase_						(   self      :     Tuple		):
												pass







							@unittest.skip(reason='''Blip does not use inputs_embeds'''		)
							def  UpperCamelCase_						(   self      :     Dict		):
												pass







							@unittest.skip(reason='''BlipTextModel has no base class and is not available in MODEL_MAPPING'''		)
							def  UpperCamelCase_						(   self      :     Dict		):
												pass







							@unittest.skip(reason='''BlipTextModel has no base class and is not available in MODEL_MAPPING'''		)
							def  UpperCamelCase_						(   self      :     List[str]		):
												pass







							@slow
							def  UpperCamelCase_						(   self      :     Optional[int]		):
												for model_name in TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
																	_UpperCamelCase			     =     TFBlipTextModel.from_pretrained(_A		)
																	self.assertIsNotNone(_A		)







							def  UpperCamelCase_						(   self      :     int ,			_A      :     Optional[int]=True		):
												super().test_pt_tf_model_equivalence(allow_missing_keys=_A		)
