


'''simple docstring'''

import argparse
import glob
import inspect
import os
import re
import unittest

from get_test_info import get_test_classes

from tests.test_pipeline_mixin import pipeline_test_mapping


lowerCamelCase							:       Union[str, Any]  						=     {}
for task, _ in pipeline_test_mapping.items():
 lowerCamelCase							:       Tuple  						=     {'pt': None, 'tf': None}


# DO **NOT** add item to this set (unless the reason is approved)
lowerCamelCase							:       Dict  						=     {
    'tests/models/esm/test_modeling_esmfold.py',  # The pipeline test mapping is added to `test_modeling_esm.py`
}

def _SCREAMING_SNAKE_CASE				(A	)	->	str:






       """simple docstring"""







       if "ModelTesterMixin" in [x.__name__ for x in test_class.__bases__]:
              return "pt"
       elif "TFModelTesterMixin" in [x.__name__ for x in test_class.__bases__]:
              return "tf"
       elif "FlaxModelTesterMixin" in [x.__name__ for x in test_class.__bases__]:
              return "flax"
       else:
              return None

def _SCREAMING_SNAKE_CASE				(A  ,			A	)	->	int:






       """simple docstring"""







       if PIPELINE_TEST_MAPPING[task].get(A  ,			A	) is not None:
              return PIPELINE_TEST_MAPPING[task][framework]

       lowercase__				      =			pipeline_test_mapping[task]['''test''']
       lowercase__				      =			None

       if framework == "pt":
              lowercase__				      =			getattr(A  ,			'''model_mapping'''  ,			A	)
       elif framework == "tf":
              lowercase__				      =			getattr(A  ,			'''tf_model_mapping'''  ,			A	)

       if mapping is not None:
              lowercase__				      =			dict(mapping.items()	)

       # cache the results
       lowercase__				      =			mapping
       return mapping

def _SCREAMING_SNAKE_CASE				(A  ,			A	)	->	str:






       """simple docstring"""







       lowercase__				      =			get_framework(A	)
       if framework is None:
              return None
       lowercase__				      =			get_mapping_for_task(A  ,			A	)
       if mapping is None:
              return None

       lowercase__				      =			list({model_class.config_class for model_class in test_class.all_model_classes}	)
       if len(A	) != 1:
              raise ValueError('''There should be exactly one configuration class from `test_class.all_model_classes`.'''	)

       # This could be a list/tuple of model classes, but it's rare.
       lowercase__				      =			mapping.get(config_classes[0]  ,			A	)
       if isinstance(A  ,			(tuple, list)	):
              lowercase__				      =			sorted(A  ,			key=lambda A	: x.__name__	)

       return model_class

def _SCREAMING_SNAKE_CASE				(A	)	->	Optional[int]:






       """simple docstring"""







       lowercase__				      =			[(task, get_model_for_pipeline_test(A  ,			A	)) for task in pipeline_test_mapping]
       lowercase__				      =			sorted([(task, model) for task, model in mapping if model is not None]  ,			key=lambda A	: x[0]	)

       return dict(A	)

def _SCREAMING_SNAKE_CASE				(A	)	->	int:






       """simple docstring"""







       lowercase__				      =			get_framework(A	)
       if framework == "pt":
              lowercase__				      =			'''torch'''
       lowercase__				      =			'''{}'''

       lowercase__				      =			get_pipeline_model_mapping(A	)
       if len(A	) == 0:
              return ""

       lowercase__				      =			[]
       for task, model_classes in mapping.items():
              if isinstance(A  ,			(tuple, list)	):
                     # A list/tuple of model classes
                     lowercase__				      =			'''(''' + ''', '''.join([x.__name__ for x in model_classes]	) + ''')'''
              else:
                     # A single model class
                     lowercase__				      =			model_classes.__name__
              texts.append(f"\"{task}\": {value}"	)
       lowercase__				      =			'''{''' + ''', '''.join(A	) + '''}'''
       lowercase__				      =			f"pipeline_model_mapping = {text} if is_{framework}_available() else {default_value}"

       return text

def _SCREAMING_SNAKE_CASE				(A	)	->	Optional[Any]:






       """simple docstring"""







       lowercase__				      =			{'''ModelTesterMixin''', '''TFModelTesterMixin''', '''FlaxModelTesterMixin'''}
       if not issubclass(A  ,			unittest.TestCase	):
              return False
       return len(base_class_names.intersection([x.__name__ for x in test_class.__bases__]	)	) > 0

def _SCREAMING_SNAKE_CASE				(A	)	->	Any:






       """simple docstring"""







       lowercase__				      =			[x for x in get_test_classes(A	) if is_valid_test_class(A	)]

       lowercase__				      =			None
       for test_class in test_classes:
              # If a test class has defined `pipeline_model_mapping`, let's take it
              if getattr(A  ,			'''pipeline_model_mapping'''  ,			A	) is not None:
                     lowercase__				      =			test_class
                     break
    # Take the test class with the shortest name (just a heuristic)
       if target_test_class is None and len(A	) > 0:
              lowercase__				      =			sorted(A  ,			key=lambda A	: (len(x.__name__	), x.__name__)	)[0]

       return target_test_class

def _SCREAMING_SNAKE_CASE				(A  ,			A  ,			A	)	->	List[str]:






       """simple docstring"""







       lowercase__				      =			start_idx
       for idx, line in enumerate(lines[start_idx:]	):
              lowercase__				      =			len(A	) - len(line.lstrip()	)
              if idx == 0 or indent > indent_level or (indent == indent_level and line.strip() == ")"):
                     lowercase__				      =			start_idx + idx
              elif idx > 0 and indent <= indent_level:
                     # Outside the definition block of `pipeline_model_mapping`
                     break

       return end_idx

def _SCREAMING_SNAKE_CASE				(A  ,			A=False	)	->	Tuple:






       """simple docstring"""







       if getattr(A  ,			'''pipeline_model_mapping'''  ,			A	) is not None:
              if not overwrite:
                     return "", -1

       lowercase__				      =			get_pipeline_model_mapping_string(A	)
       if len(A	) == 0:
              return "", -1
       lowercase__				      =			line_to_add + '''\n'''

       # The code defined the class `test_class`
       lowercase__      ,lowercase__				      =			inspect.getsourcelines(A	)
       # `inspect` gives the code for an object, including decorator(s) if any.
       # We (only) need the exact line of the class definition.
       for idx, line in enumerate(A	):
              if line.lstrip().startswith('''class '''	):
                     lowercase__				      =			class_lines[idx:]
                     class_start_line_no += idx
                     break
       lowercase__				      =			class_start_line_no + len(A	) - 1

       # The index in `class_lines` that starts the definition of `all_model_classes`, `all_generative_model_classes` or
       # `pipeline_model_mapping`. This assumes they are defined in such order, and we take the start index of the last
       # block that appears in a `test_class`.
       lowercase__				      =			None
       # The indent level of the line at `class_lines[start_idx]` (if defined)
       lowercase__				      =			0
       # To record if `pipeline_model_mapping` is found in `test_class`.
       lowercase__				      =			None
       for idx, line in enumerate(A	):
              if line.strip().startswith('''all_model_classes = '''	):
                     lowercase__				      =			len(A	) - len(line.lstrip()	)
                     lowercase__				      =			idx
              elif line.strip().startswith('''all_generative_model_classes = '''	):
                     lowercase__				      =			len(A	) - len(line.lstrip()	)
                     lowercase__				      =			idx
              elif line.strip().startswith('''pipeline_model_mapping = '''	):
                     lowercase__				      =			len(A	) - len(line.lstrip()	)
                     lowercase__				      =			idx
                     lowercase__				      =			line
                     break

       if start_idx is None:
              return "", -1
       # Find the ending index (inclusive) of the above found block.
       lowercase__				      =			find_block_ending(A  ,			A  ,			A	)

       # Extract `is_xxx_available()` from existing blocks: some models require specific libraries like `timm` and use
       # `is_timm_available()` instead of `is_torch_available()`.
       # Keep leading and trailing whitespaces
       lowercase__				      =			re.compile(R'''\s(is_\S+?_available\(\))\s'''	)
       for line in class_lines[start_idx : end_idx + 1]:
              lowercase__				      =			r.search(A	)
              if backend_condition is not None:
                     # replace the leading and trailing whitespaces to the space character " ".
                     lowercase__				      =			''' ''' + backend_condition[0][1:-1] + ''' '''
                     lowercase__				      =			r.sub(A  ,			A	)
                     break

       if def_line is None:
              # `pipeline_model_mapping` is not defined. The target index is set to the ending index (inclusive) of
              # `all_model_classes` or `all_generative_model_classes`.
              lowercase__				      =			end_idx
       else:
              # `pipeline_model_mapping` is defined. The target index is set to be one **BEFORE** its start index.
              lowercase__				      =			start_idx - 1
              # mark the lines of the currently existing `pipeline_model_mapping` to be removed.
              for idx in range(A  ,			end_idx + 1	):
                     # These lines are going to be removed before writing to the test file.
                     lowercase__				      =			None  # noqa

    # Make sure the test class is a subclass of `PipelineTesterMixin`.
       lowercase__				      =			[x.__name__ for x in test_class.__bases__]
       if "PipelineTesterMixin" not in parent_classes:
              # Put `PipelineTesterMixin` just before `unittest.TestCase`
              lowercase__				      =			[x for x in parent_classes if x != '''TestCase'''] + ['''PipelineTesterMixin''']
              if "TestCase" in parent_classes:
                     # Here we **assume** the original string is always with `unittest.TestCase`.
                     _parent_classes.append('''unittest.TestCase'''	)
              lowercase__				      =			''', '''.join(_parent_classes	)
              for idx, line in enumerate(A	):
                     # Find the ending of the declaration of `test_class`
                     if line.strip().endswith('''):'''	):
                            # mark the lines of the declaration of `test_class` to be removed
                            for _idx in range(idx + 1	):
                                   lowercase__				      =			None  # noqa
                            break
        # Add the new, one-line, class declaration for `test_class`
              lowercase__				      =			f"class {test_class.__name__}({parent_classes}):\n"

       # Add indentation
       lowercase__				      =			''' ''' * indent_level + line_to_add
       # Insert `pipeline_model_mapping` to `class_lines`.
       # (The line at `target_idx` should be kept by definition!)
       lowercase__				      =			class_lines[: target_idx + 1] + [line_to_add] + class_lines[target_idx + 1 :]
       # Remove the lines that are marked to be removed
       lowercase__				      =			[x for x in class_lines if x is not None]

       # Move from test class to module (in order to write to the test file)
       lowercase__				      =			inspect.getsourcelines(inspect.getmodule(A	)	)[0]
       # Be careful with the 1-off between line numbers and array indices
       lowercase__				      =			module_lines[: class_start_line_no - 1] + class_lines + module_lines[class_end_line_no:]
       lowercase__				      =			''''''.join(A	)

       lowercase__				      =			inspect.getsourcefile(A	)
       with open(A  ,			'''w'''  ,			encoding='''UTF-8'''  ,			newline='''\n'''	) as fp:
              fp.write(A	)

       return line_to_add

def _SCREAMING_SNAKE_CASE				(A  ,			A=False	)	->	Any:






       """simple docstring"""







       lowercase__				      =			find_test_class(A	)
       if test_class:
              add_pipeline_model_mapping(A  ,			overwrite=A	)


if __name__ == "__main__":
 lowerCamelCase							:       Tuple  						=     argparse.ArgumentParser()
 parser.add_argument(
     '--test_file', type=str, help='A path to the test file, starting with the repository\'s `tests` directory.'
 )
 parser.add_argument(
     '--all',
     action='store_true',
     help='If to check and modify all test files.',
 )
 parser.add_argument(
     '--overwrite',
     action='store_true',
     help='If to overwrite a test class if it has already defined `pipeline_model_mapping`.',
 )
 lowerCamelCase							:       Tuple  						=     parser.parse_args()

 if not args.all and not args.test_file:
  raise ValueError('Please specify either `test_file` or pass `--all` to check/modify all test files.')
 elif args.all and args.test_file:
  raise ValueError('Only one of `--test_file` and `--all` could be specified.')

 lowerCamelCase							:       Dict  						=     []
 if args.test_file:
  lowerCamelCase							:       Tuple  						=     [args.test_file]
 else:
  lowerCamelCase							:       int  						=     os.path.join('tests', 'models', '**', 'test_modeling_*.py')
  for test_file in glob.glob(pattern):
   # `Flax` is not concerned at this moment
   if not test_file.startswith('test_modeling_flax_'):
    test_files.append(test_file)

 for test_file in test_files:
  if test_file in TEST_FILE_TO_IGNORE:
   print(f"""[SKIPPED] {test_file} is skipped as it is in `TEST_FILE_TO_IGNORE` in the file {__file__}.""")
   continue
  add_pipeline_model_mapping_to_test_file(test_file, overwrite=args.overwrite)








'''simple docstring'''

import random
import unittest

import torch

from diffusers import IFImgaImgPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device

from ..pipeline_params import (
    TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS,
    TEXT_GUIDED_IMAGE_VARIATION_PARAMS,
)
from ..test_pipelines_common import PipelineTesterMixin
from . import IFPipelineTesterMixin
@skip_mps
class   __lowerCAmelCase						(lowercase_  ,					lowercase_  ,					unittest.TestCase					):





      '''simple docstring'''






      lowerCAmelCase__ :					Dict   =							IFImgaImgPipeline
      lowerCAmelCase__ :					int   =							TEXT_GUIDED_IMAGE_VARIATION_PARAMS - {"""width""", """height"""}
      lowerCAmelCase__ :					Optional[int]   =							TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS
      lowerCAmelCase__ :					str   =							PipelineTesterMixin.required_optional_params - {"""latents"""}



      def 				UpperCamelCase__		(self   :   Dict			):

             '''simple docstring'''







             return self._get_dummy_components()



      def 				UpperCamelCase__		(self   :   Optional[Any]       ,						UpperCamelCase   :   List[Any]       ,						UpperCamelCase   :   Optional[Any]=0			):

             '''simple docstring'''







             if str(UpperCamelCase			).startswith('''mps'''			):
                    lowercase__				      =			torch.manual_seed(UpperCamelCase			)
             else:
                    lowercase__				      =			torch.Generator(device=UpperCamelCase			).manual_seed(UpperCamelCase			)

             lowercase__				      =			floats_tensor((1, 3, 32, 32)       ,						rng=random.Random(UpperCamelCase			)			).to(UpperCamelCase			)

             lowercase__				      =			{
                 '''prompt''': '''A painting of a squirrel eating a burger''',
                 '''image''': image,
                 '''generator''': generator,
                 '''num_inference_steps''': 2,
                 '''output_type''': '''numpy''',
             }

             return inputs



      def 				UpperCamelCase__		(self   :   int			):

             '''simple docstring'''







             self._test_save_load_optional_components()



      @unittest.skipIf(
          torch_device != '''cuda''' or not is_xformers_available()       ,						reason='''XFormers attention is only available with CUDA and `xformers` installed'''       ,						)
      def 				UpperCamelCase__		(self   :   Optional[Any]			):

             '''simple docstring'''







             self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1E-3			)



      @unittest.skipIf(torch_device != '''cuda'''       ,						reason='''float16 requires CUDA'''			)
      def 				UpperCamelCase__		(self   :   Any			):

             '''simple docstring'''







             super().test_save_load_floataa(expected_max_diff=1E-1			)



      @unittest.skipIf(torch_device != '''cuda'''       ,						reason='''float16 requires CUDA'''			)
      def 				UpperCamelCase__		(self   :   Dict			):

             '''simple docstring'''







             super().test_floataa_inference(expected_max_diff=1E-1			)



      def 				UpperCamelCase__		(self   :   Optional[int]			):

             '''simple docstring'''







             self._test_attention_slicing_forward_pass(expected_max_diff=1E-2			)



      def 				UpperCamelCase__		(self   :   str			):

             '''simple docstring'''







             self._test_save_load_local()






      def 				UpperCamelCase__		(self   :   List[Any]			):

             '''simple docstring'''







             self._test_inference_batch_single_identical(
                 expected_max_diff=1E-2       ,						)




