



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


A__     				=	{}
for task, _ in pipeline_test_mapping.items():
	A__     				=	{"""pt""": None, """tf""": None}


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


def 		_UpperCAmelCase    (				snake_case      ):





					"""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 		_UpperCAmelCase    (				snake_case     ,						snake_case      ):





					"""simple docstring"""

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

					_lowerCAmelCase      =   pipeline_test_mapping[task]["""test"""]
					_lowerCAmelCase      =   None

					if framework == "pt":
										_lowerCAmelCase      =   getattr(_lowerCamelCase     ,						"""model_mapping"""     ,						_lowerCamelCase      )
					elif framework == "tf":
										_lowerCAmelCase      =   getattr(_lowerCamelCase     ,						"""tf_model_mapping"""     ,						_lowerCamelCase      )

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

					# cache the results
					_lowerCAmelCase      =   mapping
					return mapping


def 		_UpperCAmelCase    (				snake_case     ,						snake_case      ):





					"""simple docstring"""

					_lowerCAmelCase      =   get_framework(_lowerCamelCase      )
					if framework is None:
										return None
					_lowerCAmelCase      =   get_mapping_for_task(_lowerCamelCase     ,						_lowerCamelCase      )
					if mapping is None:
										return None

					_lowerCAmelCase      =   list({model_class.config_class for model_class in test_class.all_model_classes}      )
					if len(_lowerCamelCase      ) != 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.
					_lowerCAmelCase      =   mapping.get(config_classes[0]     ,						_lowerCamelCase      )
					if isinstance(_lowerCamelCase     ,						(tuple, list)      ):
										_lowerCAmelCase      =   sorted(_lowerCamelCase     ,						key=lambda snake_case      : x.__name__      )

					return model_class


def 		_UpperCAmelCase    (				snake_case      ):





					"""simple docstring"""

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

					return dict(_lowerCamelCase      )


def 		_UpperCAmelCase    (				snake_case      ):





					"""simple docstring"""

					_lowerCAmelCase      =   get_framework(_lowerCamelCase      )
					if framework == "pt":
										_lowerCAmelCase      =   """torch"""
					_lowerCAmelCase      =   """{}"""

					_lowerCAmelCase      =   get_pipeline_model_mapping(_lowerCamelCase      )
					if len(_lowerCamelCase      ) == 0:
										return ""

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

					return text


def 		_UpperCAmelCase    (				snake_case      ):





					"""simple docstring"""

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


def 		_UpperCAmelCase    (				snake_case      ):





					"""simple docstring"""

					_lowerCAmelCase      =   [x for x in get_test_classes(_lowerCamelCase      ) if is_valid_test_class(_lowerCamelCase      )]

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

					return target_test_class


def 		_UpperCAmelCase    (				snake_case     ,						snake_case     ,						snake_case      ):





					"""simple docstring"""

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

					return end_idx


def 		_UpperCAmelCase    (				snake_case     ,						snake_case=False      ):





					"""simple docstring"""

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

					_lowerCAmelCase      =   get_pipeline_model_mapping_string(_lowerCamelCase      )
					if len(_lowerCamelCase      ) == 0:
										return "", -1
					_lowerCAmelCase      =   line_to_add + """\n"""

					# The code defined the class `test_class`
					_lowerCAmelCase      =   inspect.getsourcelines(_lowerCamelCase      )
					# `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(_lowerCamelCase      ):
										if line.lstrip().startswith("""class """      ):
															_lowerCAmelCase      =   class_lines[idx:]
															class_start_line_no += idx
															break
					_lowerCAmelCase      =   class_start_line_no + len(_lowerCamelCase      ) - 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`.
					_lowerCAmelCase      =   None
					# The indent level of the line at `class_lines[start_idx]` (if defined)
					_lowerCAmelCase      =   0
					# To record if `pipeline_model_mapping` is found in `test_class`.
					_lowerCAmelCase      =   None
					for idx, line in enumerate(_lowerCamelCase      ):
										if line.strip().startswith("""all_model_classes = """      ):
															_lowerCAmelCase      =   len(_lowerCamelCase      ) - len(line.lstrip()      )
															_lowerCAmelCase      =   idx
										elif line.strip().startswith("""all_generative_model_classes = """      ):
															_lowerCAmelCase      =   len(_lowerCamelCase      ) - len(line.lstrip()      )
															_lowerCAmelCase      =   idx
										elif line.strip().startswith("""pipeline_model_mapping = """      ):
															_lowerCAmelCase      =   len(_lowerCamelCase      ) - len(line.lstrip()      )
															_lowerCAmelCase      =   idx
															_lowerCAmelCase      =   line
															break

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

					# 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
					_lowerCAmelCase      =   re.compile(R"""\s(is_\S+?_available\(\))\s"""      )
					for line in class_lines[start_idx : end_idx + 1]:
										_lowerCAmelCase      =   r.search(_lowerCamelCase      )
										if backend_condition is not None:
															# replace the leading and trailing whitespaces to the space character " ".
															_lowerCAmelCase      =   """ """ + backend_condition[0][1:-1] + """ """
															_lowerCAmelCase      =   r.sub(_lowerCamelCase     ,						_lowerCamelCase      )
															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`.
										_lowerCAmelCase      =   end_idx
					else:
										# `pipeline_model_mapping` is defined. The target index is set to be one **BEFORE** its start index.
										_lowerCAmelCase      =   start_idx - 1
										# mark the lines of the currently existing `pipeline_model_mapping` to be removed.
										for idx in range(_lowerCamelCase     ,						end_idx + 1      ):
															# These lines are going to be removed before writing to the test file.
															_lowerCAmelCase      =   None  # noqa

										# Make sure the test class is a subclass of `PipelineTesterMixin`.
					_lowerCAmelCase      =   [x.__name__ for x in test_class.__bases__]
					if "PipelineTesterMixin" not in parent_classes:
										# Put `PipelineTesterMixin` just before `unittest.TestCase`
										_lowerCAmelCase      =   [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"""      )
										_lowerCAmelCase      =   """, """.join(_parent_classes      )
										for idx, line in enumerate(_lowerCamelCase      ):
															# 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      ):
																									_lowerCAmelCase      =   None  # noqa
																				break
																				# Add the new, one-line, class declaration for `test_class`
										_lowerCAmelCase      =   F'class {test_class.__name__}({parent_classes}):\n'

					# Add indentation
					_lowerCAmelCase      =   """ """ * indent_level + line_to_add
					# Insert `pipeline_model_mapping` to `class_lines`.
					# (The line at `target_idx` should be kept by definition!)
					_lowerCAmelCase      =   class_lines[: target_idx + 1] + [line_to_add] + class_lines[target_idx + 1 :]
					# Remove the lines that are marked to be removed
					_lowerCAmelCase      =   [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)
					_lowerCAmelCase      =   inspect.getsourcelines(inspect.getmodule(_lowerCamelCase      )      )[0]
					# Be careful with the 1-off between line numbers and array indices
					_lowerCAmelCase      =   module_lines[: class_start_line_no - 1] + class_lines + module_lines[class_end_line_no:]
					_lowerCAmelCase      =   """""".join(_lowerCamelCase      )

					_lowerCAmelCase      =   inspect.getsourcefile(_lowerCamelCase      )
					with open(_lowerCamelCase     ,						"""w"""     ,						encoding="""UTF-8"""     ,						newline="""\n"""      ) as fp:
										fp.write(_lowerCamelCase      )

					return line_to_add


def 		_UpperCAmelCase    (				snake_case     ,						snake_case=False      ):





					"""simple docstring"""

					_lowerCAmelCase      =   find_test_class(_lowerCamelCase      )
					if test_class:
										add_pipeline_model_mapping(_lowerCamelCase     ,						overwrite=_lowerCamelCase      )


if __name__ == "__main__":
	A__     				=	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`.""",
	)
	A__     				=	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.""")

	A__     				=	[]
	if args.test_file:
		A__     				=	[args.test_file]
	else:
		A__     				=	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)








import os

from packaging import version

from .. import __version__
from .accelerate_utils import apply_forward_hook
from .constants import (
    CONFIG_NAME,
    DEPRECATED_REVISION_ARGS,
    DIFFUSERS_CACHE,
    DIFFUSERS_DYNAMIC_MODULE_NAME,
    FLAX_WEIGHTS_NAME,
    HF_MODULES_CACHE,
    HUGGINGFACE_CO_RESOLVE_ENDPOINT,
    ONNX_EXTERNAL_WEIGHTS_NAME,
    ONNX_WEIGHTS_NAME,
    SAFETENSORS_WEIGHTS_NAME,
    TEXT_ENCODER_ATTN_MODULE,
    WEIGHTS_NAME,
)
from .deprecation_utils import deprecate
from .doc_utils import replace_example_docstring
from .dynamic_modules_utils import get_class_from_dynamic_module
from .hub_utils import (
    HF_HUB_OFFLINE,
    _add_variant,
    _get_model_file,
    extract_commit_hash,
    http_user_agent,
)
from .import_utils import (
    BACKENDS_MAPPING,
    ENV_VARS_TRUE_AND_AUTO_VALUES,
    ENV_VARS_TRUE_VALUES,
    USE_JAX,
    USE_TF,
    USE_TORCH,
    DummyObject,
    OptionalDependencyNotAvailable,
    is_accelerate_available,
    is_accelerate_version,
    is_bsa_available,
    is_flax_available,
    is_ftfy_available,
    is_inflect_available,
    is_invisible_watermark_available,
    is_k_diffusion_available,
    is_k_diffusion_version,
    is_librosa_available,
    is_note_seq_available,
    is_omegaconf_available,
    is_onnx_available,
    is_safetensors_available,
    is_scipy_available,
    is_tensorboard_available,
    is_tf_available,
    is_torch_available,
    is_torch_version,
    is_torchsde_available,
    is_transformers_available,
    is_transformers_version,
    is_unidecode_available,
    is_wandb_available,
    is_xformers_available,
    requires_backends,
)
from .logging import get_logger
from .outputs import BaseOutput
from .pil_utils import PIL_INTERPOLATION, numpy_to_pil, pt_to_pil
from .torch_utils import is_compiled_module, randn_tensor


if is_torch_available():
	from .testing_utils import (
	    floats_tensor,
	    load_hf_numpy,
	    load_image,
	    load_numpy,
	    load_pt,
	    nightly,
	    parse_flag_from_env,
	    print_tensor_test,
	    require_torch_a,
	    require_torch_gpu,
	    skip_mps,
	    slow,
	    torch_all_close,
	    torch_device,
	)
	from .torch_utils import maybe_allow_in_graph

from .testing_utils import export_to_gif, export_to_video


A__     				=	get_logger(__name__)


def 		_UpperCAmelCase    (				snake_case      ):





					"""simple docstring"""

					if version.parse(snake_case      ) < version.parse(snake_case      ):
										if "dev" in min_version:
															_lowerCAmelCase      =   (
															    """This example requires a source install from HuggingFace diffusers (see """
															    """`https://huggingface.co/docs/diffusers/installation#install-from-source`),"""
															)
										else:
															_lowerCAmelCase      =   F'This example requires a minimum version of {min_version},'
										error_message += F' but the version found is {__version__}.\n'
										raise ImportError(snake_case      )



