




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


# DO **NOT** add item to this set (unless the reason is approved)
__a  :		List[Any]		     =   {
    '''tests/models/esm/test_modeling_esmfold.py''',  # The pipeline test mapping is added to `test_modeling_esm.py`
}
def  snake_case_					(		SCREAMING_SNAKE_CASE_    )      ->			int:

							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_    )      ->			Tuple:

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

							lowercase__  :	int        =							pipeline_test_mapping[task]["test"]
							lowercase__  :	Optional[Any]        =							None

							if framework == "pt":
														lowercase__  :	Optional[Any]        =							getattr(lowercase_    ,"model_mapping"    ,lowercase_    )
							elif framework == "tf":
														lowercase__  :	List[str]        =							getattr(lowercase_    ,"tf_model_mapping"    ,lowercase_    )

							if mapping is not None:
														lowercase__  :	List[str]        =							dict(mapping.items()    )

							# cache the results
							lowercase__  :	Union[str, Any]        =							mapping
							return mapping
def  snake_case_					(		SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_    )      ->			Optional[Any]:
							lowercase__  :	List[str]        =							get_framework(lowercase_    )
							if framework is None:
														return None
							lowercase__  :	List[Any]        =							get_mapping_for_task(lowercase_    ,lowercase_    )
							if mapping is None:
														return None

							lowercase__  :	Tuple        =							list({model_class.config_class for model_class in test_class.all_model_classes}    )
							if len(lowercase_    ) != 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__  :	Optional[Any]        =							mapping.get(config_classes[0]    ,lowercase_    )
							if isinstance(lowercase_    ,(tuple, list)    ):
														lowercase__  :	Any        =							sorted(lowercase_    ,key=lambda SCREAMING_SNAKE_CASE_    : x.__name__    )

							return model_class
def  snake_case_					(		SCREAMING_SNAKE_CASE_    )      ->			Any:
							lowercase__  :	Optional[Any]        =							[(task, get_model_for_pipeline_test(lowercase_    ,lowercase_    )) for task in pipeline_test_mapping]
							lowercase__  :	Any        =							sorted([(task, model) for task, model in mapping if model is not None]    ,key=lambda SCREAMING_SNAKE_CASE_    : x[0]    )

							return dict(lowercase_    )
def  snake_case_					(		SCREAMING_SNAKE_CASE_    )      ->			Optional[Any]:
							lowercase__  :	Tuple        =							get_framework(lowercase_    )
							if framework == "pt":
														lowercase__  :	Tuple        =							"torch"
							lowercase__  :	Dict        =							"{}"

							lowercase__  :	Union[str, Any]        =							get_pipeline_model_mapping(lowercase_    )
							if len(lowercase_    ) == 0:
														return ""

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

							return text
def  snake_case_					(		SCREAMING_SNAKE_CASE_    )      ->			int:
							lowercase__  :	Tuple        =							{"ModelTesterMixin", "TFModelTesterMixin", "FlaxModelTesterMixin"}
							if not issubclass(lowercase_    ,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_    )      ->			Optional[Any]:
							lowercase__  :	str        =							[x for x in get_test_classes(lowercase_    ) if is_valid_test_class(lowercase_    )]

							lowercase__  :	Dict        =							None
							for test_class in test_classes:
														# If a test class has defined `pipeline_model_mapping`, let's take it
														if getattr(lowercase_    ,"pipeline_model_mapping"    ,lowercase_    ) is not None:
																					lowercase__  :	Optional[Any]        =							test_class
																					break
																					 # Take the test class with the shortest name (just a heuristic)
							if target_test_class is None and len(lowercase_    ) > 0:
														lowercase__  :	str        =							sorted(lowercase_    ,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_    )      ->			Union[str, Any]:
							lowercase__  :	List[Any]        =							start_idx
							for idx, line in enumerate(lines[start_idx:]    ):
														lowercase__  :	Any        =							len(lowercase_    ) - len(line.lstrip()    )
														if idx == 0 or indent > indent_level or (indent == indent_level and line.strip() == ")"):
																					lowercase__  :	int        =							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    )      ->			Optional[int]:

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

							lowercase__  :	Union[str, Any]        =							get_pipeline_model_mapping_string(lowercase_    )
							if len(lowercase_    ) == 0:
														return "", -1
							lowercase__  :	Optional[Any]        =							line_to_add + "\n"

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

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

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

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

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

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

							return line_to_add
def  snake_case_					(		SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_=False    )      ->			List[Any]:
							lowercase__  :	Tuple        =							find_test_class(lowercase_    )
							if test_class:
														add_pipeline_model_mapping(lowercase_    ,overwrite=lowercase_    )


if __name__ == "__main__":
							__a  :		Dict		     =   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  :		Dict		     =   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  :		int		     =   []
							if args.test_file:
														__a  :		str		     =   [args.test_file]
							else:
														__a  :		Tuple		     =   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 numpy as np
def  snake_case_					(		SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_    )      ->			int:
							lowercase__  :	str        =							n_draws * class_counts / class_counts.sum()
							# floored means we don't overshoot n_samples, but probably undershoot
							lowercase__  :	Union[str, Any]        =							np.floor(SCREAMING_SNAKE_CASE_    )
							# we add samples according to how much "left over" probability
							# they had, until we arrive at n_samples
							lowercase__  :	Tuple        =							int(n_draws - floored.sum()    )
							if need_to_add > 0:
														lowercase__  :	Union[str, Any]        =							continuous - floored
														lowercase__  :	Optional[Any]        =							np.sort(np.unique(SCREAMING_SNAKE_CASE_    )    )[::-1]
														# add according to remainder, but break ties
														# randomly to avoid biases
														for value in values:
																					((lowercase__) ,       )  :	Optional[Any]        =							np.where(remainder == value    )
																					# if we need_to_add less than what's in inds
																					# we draw randomly from them.
																					# if we need to add more, we add them all and
																					# go to the next value
																					lowercase__  :	Dict        =							min(len(SCREAMING_SNAKE_CASE_    )    ,SCREAMING_SNAKE_CASE_    )
																					lowercase__  :	Any        =							rng.choice(SCREAMING_SNAKE_CASE_    ,size=SCREAMING_SNAKE_CASE_    ,replace=SCREAMING_SNAKE_CASE_    )
																					floored[inds] += 1
																					need_to_add -= add_now
																					if need_to_add == 0:
																												break
							return floored.astype(np.intaa    )




def  snake_case_					(		SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_=10    )      ->			List[str]:
							lowercase__ ,       lowercase__  :	int        =							np.unique(SCREAMING_SNAKE_CASE_    ,return_inverse=SCREAMING_SNAKE_CASE_    )
							lowercase__  :	int        =							classes.shape[0]
							lowercase__  :	Union[str, Any]        =							np.bincount(SCREAMING_SNAKE_CASE_    )
							if np.min(SCREAMING_SNAKE_CASE_    ) < 2:
														raise ValueError("Minimum class count error"    )
							if n_train < n_classes:
														raise ValueError(
														    "The train_size = %d should be greater or " "equal to the number of classes = %d" % (n_train, n_classes)    )
							if n_test < n_classes:
														raise ValueError(
														    "The test_size = %d should be greater or " "equal to the number of classes = %d" % (n_test, n_classes)    )
							lowercase__  :	List[Any]        =							np.split(np.argsort(SCREAMING_SNAKE_CASE_    ,kind="mergesort"    )    ,np.cumsum(SCREAMING_SNAKE_CASE_    )[:-1]    )
							for _ in range(SCREAMING_SNAKE_CASE_    ):
														lowercase__  :	str        =							approximate_mode(SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_    )
														lowercase__  :	int        =							class_counts - n_i
														lowercase__  :	int        =							approximate_mode(SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_    ,SCREAMING_SNAKE_CASE_    )

														lowercase__  :	Tuple        =							[]
														lowercase__  :	int        =							[]

														for i in range(SCREAMING_SNAKE_CASE_    ):
																					lowercase__  :	Union[str, Any]        =							rng.permutation(class_counts[i]    )
																					lowercase__  :	List[Any]        =							class_indices[i].take(SCREAMING_SNAKE_CASE_    ,mode="clip"    )
																					train.extend(perm_indices_class_i[: n_i[i]]    )
																					test.extend(perm_indices_class_i[n_i[i] : n_i[i] + t_i[i]]    )
														lowercase__  :	Tuple        =							rng.permutation(SCREAMING_SNAKE_CASE_    )
														lowercase__  :	Dict        =							rng.permutation(SCREAMING_SNAKE_CASE_    )

														yield train, test