


'''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


UpperCAmelCase_		:       int							       =		{}
for task, _ in pipeline_test_mapping.items():
				UpperCAmelCase_		:       str							       =		{'pt': None, 'tf': None}


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







def       snake_case_       (  SCREAMING_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       snake_case_       (  SCREAMING_SNAKE_CASE__							,				SCREAMING_SNAKE_CASE__					):







				"""simple docstring"""





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

				_SCREAMING_SNAKE_CASE			:	Optional[Any]							=				pipeline_test_mapping[task]["""test"""]
				_SCREAMING_SNAKE_CASE			:	List[Any]							=				None

				if framework == "pt":
								_SCREAMING_SNAKE_CASE			:	Optional[Any]							=				getattr(SCREAMING_SNAKE_CASE__							,				"""model_mapping"""							,				SCREAMING_SNAKE_CASE__					)
				elif framework == "tf":
								_SCREAMING_SNAKE_CASE			:	List[Any]							=				getattr(SCREAMING_SNAKE_CASE__							,				"""tf_model_mapping"""							,				SCREAMING_SNAKE_CASE__					)

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

				# cache the results
				_SCREAMING_SNAKE_CASE			:	Tuple							=				mapping
				return mapping







def       snake_case_       (  SCREAMING_SNAKE_CASE__							,				SCREAMING_SNAKE_CASE__					):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE			:	Union[str, Any]							=				get_framework(SCREAMING_SNAKE_CASE__					)
				if framework is None:
								return None
				_SCREAMING_SNAKE_CASE			:	Optional[Any]							=				get_mapping_for_task(SCREAMING_SNAKE_CASE__							,				SCREAMING_SNAKE_CASE__					)
				if mapping is None:
								return None

				_SCREAMING_SNAKE_CASE			:	Optional[Any]							=				list({model_class.config_class for model_class in test_class.all_model_classes}					)
				if len(SCREAMING_SNAKE_CASE__					) != 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.
				_SCREAMING_SNAKE_CASE			:	Dict							=				mapping.get(config_classes[0]							,				SCREAMING_SNAKE_CASE__					)
				if isinstance(SCREAMING_SNAKE_CASE__							,				(tuple, list)					):
								_SCREAMING_SNAKE_CASE			:	Union[str, Any]							=				sorted(SCREAMING_SNAKE_CASE__							,				key=lambda SCREAMING_SNAKE_CASE__					: x.__name__					)

				return model_class







def       snake_case_       (  SCREAMING_SNAKE_CASE__					):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE			:	Dict							=				[(task, get_model_for_pipeline_test(SCREAMING_SNAKE_CASE__							,				SCREAMING_SNAKE_CASE__					)) for task in pipeline_test_mapping]
				_SCREAMING_SNAKE_CASE			:	Tuple							=				sorted([(task, model) for task, model in mapping if model is not None]							,				key=lambda SCREAMING_SNAKE_CASE__					: x[0]					)

				return dict(SCREAMING_SNAKE_CASE__					)







def       snake_case_       (  SCREAMING_SNAKE_CASE__					):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE			:	List[str]							=				get_framework(SCREAMING_SNAKE_CASE__					)
				if framework == "pt":
								_SCREAMING_SNAKE_CASE			:	Tuple							=				"""torch"""
				_SCREAMING_SNAKE_CASE			:	Union[str, Any]							=				"""{}"""

				_SCREAMING_SNAKE_CASE			:	Tuple							=				get_pipeline_model_mapping(SCREAMING_SNAKE_CASE__					)
				if len(SCREAMING_SNAKE_CASE__					) == 0:
								return ""

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

				return text







def       snake_case_       (  SCREAMING_SNAKE_CASE__					):







				"""simple docstring"""





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







def       snake_case_       (  SCREAMING_SNAKE_CASE__					):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE			:	Optional[Any]							=				[x for x in get_test_classes(SCREAMING_SNAKE_CASE__					) if is_valid_test_class(SCREAMING_SNAKE_CASE__					)]

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

				return target_test_class







def       snake_case_       (  SCREAMING_SNAKE_CASE__							,				SCREAMING_SNAKE_CASE__							,				SCREAMING_SNAKE_CASE__					):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE			:	Tuple							=				start_idx
				for idx, line in enumerate(lines[start_idx:]					):
								_SCREAMING_SNAKE_CASE			:	Optional[int]							=				len(SCREAMING_SNAKE_CASE__					) - len(line.lstrip()					)
								if idx == 0 or indent > indent_level or (indent == indent_level and line.strip() == ")"):
												_SCREAMING_SNAKE_CASE			:	Union[str, Any]							=				start_idx + idx
								elif idx > 0 and indent <= indent_level:
												# Outside the definition block of `pipeline_model_mapping`
												break

				return end_idx







def       snake_case_       (  SCREAMING_SNAKE_CASE__							,				SCREAMING_SNAKE_CASE__=False					):







				"""simple docstring"""





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

				_SCREAMING_SNAKE_CASE			:	Tuple							=				get_pipeline_model_mapping_string(SCREAMING_SNAKE_CASE__					)
				if len(SCREAMING_SNAKE_CASE__					) == 0:
								return "", -1
				_SCREAMING_SNAKE_CASE			:	Dict							=				line_to_add + """\n"""

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

				if start_idx is None:
								return "", -1
				# Find the ending index (inclusive) of the above found block.
				_SCREAMING_SNAKE_CASE			:	Union[str, Any]							=				find_block_ending(SCREAMING_SNAKE_CASE__							,				SCREAMING_SNAKE_CASE__							,				SCREAMING_SNAKE_CASE__					)

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

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

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

				_SCREAMING_SNAKE_CASE			:	List[str]							=				inspect.getsourcefile(SCREAMING_SNAKE_CASE__					)
				with open(SCREAMING_SNAKE_CASE__							,				"""w"""							,				encoding="""UTF-8"""							,				newline="""\n"""					) as fp:
								fp.write(SCREAMING_SNAKE_CASE__					)

				return line_to_add







def       snake_case_       (  SCREAMING_SNAKE_CASE__							,				SCREAMING_SNAKE_CASE__=False					):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE			:	Union[str, Any]							=				find_test_class(SCREAMING_SNAKE_CASE__					)
				if test_class:
								add_pipeline_model_mapping(SCREAMING_SNAKE_CASE__							,				overwrite=SCREAMING_SNAKE_CASE__					)


if __name__ == "__main__":
				UpperCAmelCase_		:       List[Any]							       =		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`.',
				)
				UpperCAmelCase_		:       str							       =		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.')

				UpperCAmelCase_		:       Optional[int]							       =		[]
				if args.test_file:
								UpperCAmelCase_		:       List[str]							       =		[args.test_file]
				else:
								UpperCAmelCase_		:       List[str]							       =		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'''


from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_		:       Tuple							       =		logging.get_logger(__name__)

UpperCAmelCase_		:       List[Any]							       =		{
    # pcqm4mv1 now deprecated
    'graphormer-base': 'https://huggingface.co/clefourrier/graphormer-base-pcqm4mv2/resolve/main/config.json',
    # See all Graphormer models at https://huggingface.co/models?filter=graphormer
}





class    lowercase__  (						_snake_case ):





							'''simple docstring'''


							A_							:				Union[str, Any]				     =  """graphormer"""
							A_							:				Tuple				     =  ["""past_key_values"""]






							def __init__(   self   , __snake_case = 1   , __snake_case = 512 * 9   , __snake_case = 512 * 3   , __snake_case = 512   , __snake_case = 512   , __snake_case = 512   , __snake_case = 128   , __snake_case = 5   , __snake_case = 1024   , __snake_case = "multi_hop"   , __snake_case = 512   , __snake_case = False   , __snake_case = 12   , __snake_case = 768   , __snake_case = 768   , __snake_case = 32   , __snake_case = 0.1   , __snake_case = 0.1   , __snake_case = 0.0   , __snake_case = False   , __snake_case = False   , __snake_case = False   , __snake_case = "gelu"   , __snake_case = None   , __snake_case = False   , __snake_case = 0   , __snake_case = False   , __snake_case = 0.0   , __snake_case = 8   , __snake_case = None   , __snake_case = None   , __snake_case = True   , __snake_case = True   , __snake_case=0   , __snake_case=1   , __snake_case=2   , **__snake_case   , ):
											_SCREAMING_SNAKE_CASE			:	Dict							=				num_classes
											_SCREAMING_SNAKE_CASE			:	Dict							=				num_atoms
											_SCREAMING_SNAKE_CASE			:	Dict							=				num_in_degree
											_SCREAMING_SNAKE_CASE			:	Optional[int]							=				num_out_degree
											_SCREAMING_SNAKE_CASE			:	Any							=				num_edges
											_SCREAMING_SNAKE_CASE			:	Optional[Any]							=				num_spatial
											_SCREAMING_SNAKE_CASE			:	Optional[Any]							=				num_edge_dis
											_SCREAMING_SNAKE_CASE			:	int							=				edge_type
											_SCREAMING_SNAKE_CASE			:	Tuple							=				multi_hop_max_dist
											_SCREAMING_SNAKE_CASE			:	Optional[Any]							=				spatial_pos_max
											_SCREAMING_SNAKE_CASE			:	Union[str, Any]							=				max_nodes
											_SCREAMING_SNAKE_CASE			:	str							=				num_hidden_layers
											_SCREAMING_SNAKE_CASE			:	Optional[int]							=				embedding_dim
											_SCREAMING_SNAKE_CASE			:	Optional[int]							=				embedding_dim
											_SCREAMING_SNAKE_CASE			:	int							=				ffn_embedding_dim
											_SCREAMING_SNAKE_CASE			:	Dict							=				num_attention_heads
											_SCREAMING_SNAKE_CASE			:	Optional[int]							=				dropout
											_SCREAMING_SNAKE_CASE			:	List[str]							=				attention_dropout
											_SCREAMING_SNAKE_CASE			:	int							=				layerdrop
											_SCREAMING_SNAKE_CASE			:	List[Any]							=				encoder_normalize_before
											_SCREAMING_SNAKE_CASE			:	Union[str, Any]							=				pre_layernorm
											_SCREAMING_SNAKE_CASE			:	Union[str, Any]							=				apply_graphormer_init
											_SCREAMING_SNAKE_CASE			:	List[str]							=				activation_fn
											_SCREAMING_SNAKE_CASE			:	Union[str, Any]							=				embed_scale
											_SCREAMING_SNAKE_CASE			:	Optional[int]							=				freeze_embeddings
											_SCREAMING_SNAKE_CASE			:	Optional[Any]							=				num_trans_layers_to_freeze
											_SCREAMING_SNAKE_CASE			:	List[Any]							=				share_input_output_embed
											_SCREAMING_SNAKE_CASE			:	Tuple							=				traceable
											_SCREAMING_SNAKE_CASE			:	List[str]							=				q_noise
											_SCREAMING_SNAKE_CASE			:	str							=				qn_block_size

											# These parameters are here for future extensions
											# atm, the model only supports self attention
											_SCREAMING_SNAKE_CASE			:	Any							=				kdim
											_SCREAMING_SNAKE_CASE			:	int							=				vdim
											_SCREAMING_SNAKE_CASE			:	Any							=				self_attention
											_SCREAMING_SNAKE_CASE			:	Tuple							=				bias

											super().__init__(
											    pad_token_id=__snake_case   , bos_token_id=__snake_case   , eos_token_id=__snake_case   , **__snake_case   , )




