



"""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


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


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

def 				_lowerCAmelCase   (     lowercase_		):

						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 				_lowerCAmelCase   (     lowercase_	,			lowercase_		):
						# Use the cached results
						if PIPELINE_TEST_MAPPING[task].get(lowercase_	,			lowercase_		) is not None:
												return PIPELINE_TEST_MAPPING[task][framework]

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

						if framework == "pt":
												UpperCAmelCase    =				getattr(lowercase_	,			'model_mapping'	,			lowercase_		)
						elif framework == "tf":
												UpperCAmelCase    =				getattr(lowercase_	,			'tf_model_mapping'	,			lowercase_		)

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

						# cache the results
						UpperCAmelCase    =				mapping
						return mapping

def 				_lowerCAmelCase   (     lowercase_	,			lowercase_		):
						UpperCAmelCase    =				get_framework(lowercase_		)
						if framework is None:
												return None
						UpperCAmelCase    =				get_mapping_for_task(lowercase_	,			lowercase_		)
						if mapping is None:
												return None

						UpperCAmelCase    =				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.
						UpperCAmelCase    =				mapping.get(config_classes[0]	,			lowercase_		)
						if isinstance(lowercase_	,			(tuple, list)		):
												UpperCAmelCase    =				sorted(lowercase_	,			key=lambda lowercase_		: x.__name__		)

						return model_class

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

						return dict(lowercase_		)

def 				_lowerCAmelCase   (     lowercase_		):
						UpperCAmelCase    =				get_framework(lowercase_		)
						if framework == "pt":
												UpperCAmelCase    =				'torch'
						UpperCAmelCase    =				'{}'

						UpperCAmelCase    =				get_pipeline_model_mapping(lowercase_		)
						if len(lowercase_		) == 0:
												return ""

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

						return text

def 				_lowerCAmelCase   (     lowercase_		):
						UpperCAmelCase    =				{'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 				_lowerCAmelCase   (     lowercase_		):
						UpperCAmelCase    =				[x for x in get_test_classes(lowercase_		) if is_valid_test_class(lowercase_		)]

						UpperCAmelCase    =				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:
																		UpperCAmelCase    =				test_class
																		break
    # Take the test class with the shortest name (just a heuristic)
						if target_test_class is None and len(lowercase_		) > 0:
												UpperCAmelCase    =				sorted(lowercase_	,			key=lambda lowercase_		: (len(x.__name__		), x.__name__)		)[0]

						return target_test_class

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

						return end_idx

def 				_lowerCAmelCase   (     lowercase_	,			lowercase_=False		):
						if getattr(lowercase_	,			'pipeline_model_mapping'	,			lowercase_		) is not None:
												if not overwrite:
																		return "", -1

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

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

						if start_idx is None:
												return "", -1
						# Find the ending index (inclusive) of the above found block.
						UpperCAmelCase    =				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
						UpperCAmelCase    =				re.compile(R'\s(is_\S+?_available\(\))\s'		)
						for line in class_lines[start_idx : end_idx + 1]:
												UpperCAmelCase    =				r.search(lowercase_		)
												if backend_condition is not None:
																		# replace the leading and trailing whitespaces to the space character " ".
																		UpperCAmelCase    =				' ' + backend_condition[0][1:-1] + ' '
																		UpperCAmelCase    =				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`.
												UpperCAmelCase    =				end_idx
						else:
												# `pipeline_model_mapping` is defined. The target index is set to be one **BEFORE** its start index.
												UpperCAmelCase    =				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.
																		UpperCAmelCase    =				None  # noqa

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

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

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

						return line_to_add

def 				_lowerCAmelCase   (     lowercase_	,			lowercase_=False		):
						UpperCAmelCase    =				find_test_class(lowercase_		)
						if test_class:
												add_pipeline_model_mapping(lowercase_	,			overwrite=lowercase_		)


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

				snake_case_         = []
				if args.test_file:
								snake_case_         = [args.test_file]
				else:
								snake_case_         = 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 typing import Any

import numpy as np







class    A_    :



						"""simple docstring"""






						def __init__(      self				:List[str]     ,						lowercase_				:np.ndarray     ,						lowercase_				:int      )       ->    None:
												# Check if RHS is negative
												if np.any(tableau[:, -1]     ,						where=tableau[:, -1] < 0      ):
																		raise ValueError('RHS must be > 0'      )

												UpperCAmelCase    =				tableau
												UpperCAmelCase   ,					UpperCAmelCase    =				tableau.shape

												# Number of decision variables x1, x2, x3...
												UpperCAmelCase    =				n_vars

												# Number of artificial variables to be minimised
												UpperCAmelCase    =				len(np.where(tableau[self.n_vars : -1] == -1      )[0]      )

												# 2 if there are >= or == constraints (nonstandard), 1 otherwise (std)
												UpperCAmelCase    =				(self.n_art_vars > 0) + 1

												# Number of slack variables added to make inequalities into equalities
												UpperCAmelCase    =				self.n_rows - self.n_stages

												# Objectives for each stage
												UpperCAmelCase    =				['max']

												# In two stage simplex, first minimise then maximise
												if self.n_art_vars:
																		self.objectives.append('min'      )

												UpperCAmelCase    =				['']

												# Index of current pivot row and column
												UpperCAmelCase    =				None
												UpperCAmelCase    =				None

												# Does objective row only contain (non)-negative values?
												UpperCAmelCase    =				False






						@staticmethod
						def 			UpperCAmelCase__  (      *lowercase_				:int      )       ->    list[str]:
												if len(lowercase_      ) != 3:
																		raise ValueError('Must provide n_vars, n_slack, and n_art_vars'      )

												if not all(x >= 0 and isinstance(lowercase_     ,						lowercase_      ) for x in args      ):
																		raise ValueError('All arguments must be non-negative integers'      )

												# decision | slack | artificial
												UpperCAmelCase    =				['x', 's', 'a']
												UpperCAmelCase    =				[]
												for i in range(3      ):
																		for j in range(args[i]      ):
																								titles.append(string_starts[i] + str(j + 1      )      )
												titles.append('RHS'      )
												return titles






						def 			UpperCAmelCase__  (      self				:List[str]     ,						lowercase_				:np.ndarray      )       ->    tuple[Any, Any]:
												UpperCAmelCase    =				self.objectives[-1]

												# Find entries of highest magnitude in objective rows
												UpperCAmelCase    =				(objective == 'min') - (objective == 'max')
												UpperCAmelCase    =				np.argmax(sign * tableau[0, : self.n_vars]      )

												# Choice is only valid if below 0 for maximise, and above for minimise
												if sign * self.tableau[0, col_idx] <= 0:
																		UpperCAmelCase    =				True
																		return 0, 0

												# Pivot row is chosen as having the lowest quotient when elements of
												# the pivot column divide the right-hand side

												# Slice excluding the objective rows
												UpperCAmelCase    =				slice(self.n_stages     ,						self.n_rows      )

												# RHS
												UpperCAmelCase    =				tableau[s, -1]

												# Elements of pivot column within slice
												UpperCAmelCase    =				tableau[s, col_idx]

												# Array filled with nans
												UpperCAmelCase    =				np.full(self.n_rows - self.n_stages     ,						np.nan      )

												# If element in pivot column is greater than zeron_stages, return
												# quotient or nan otherwise
												UpperCAmelCase    =				np.divide(lowercase_     ,						lowercase_     ,						out=lowercase_     ,						where=divisor > 0      )

												# Arg of minimum quotient excluding the nan values. n_stages is added
												# to compensate for earlier exclusion of objective columns
												UpperCAmelCase    =				np.nanargmin(lowercase_      ) + self.n_stages
												return row_idx, col_idx






						def 			UpperCAmelCase__  (      self				:Union[str, Any]     ,						lowercase_				:np.ndarray     ,						lowercase_				:int     ,						lowercase_				:int      )       ->    np.ndarray:
												UpperCAmelCase    =				tableau[row_idx].copy()

												UpperCAmelCase    =				piv_row[col_idx]

												# Entry becomes 1
												piv_row *= 1 / piv_val

												# Variable in pivot column becomes basic, ie the only non-zero entry
												for idx, coeff in enumerate(tableau[:, col_idx]      ):
																		tableau[idx] += -coeff * piv_row
												UpperCAmelCase    =				piv_row
												return tableau






						def 			UpperCAmelCase__  (      self				:Optional[Any]     ,						lowercase_				:np.ndarray      )       ->    np.ndarray:
												self.objectives.pop()

												if not self.objectives:
																		return tableau

												# Slice containing ids for artificial columns
												UpperCAmelCase    =				slice(-self.n_art_vars - 1     ,						-1      )

												# Delete the artificial variable columns
												UpperCAmelCase    =				np.delete(lowercase_     ,						lowercase_     ,						axis=1      )

												# Delete the objective row of the first stage
												UpperCAmelCase    =				np.delete(lowercase_     ,						0     ,						axis=0      )

												UpperCAmelCase    =				1
												self.n_rows -= 1
												UpperCAmelCase    =				0
												UpperCAmelCase    =				False
												return tableau






						def 			UpperCAmelCase__  (      self				:List[Any]      )       ->    dict[Any, Any]:
												# Stop simplex algorithm from cycling.
												for _ in range(1_00      ):
																		# Completion of each stage removes an objective. If both stages
																		# are complete, then no objectives are left
																		if not self.objectives:
																								UpperCAmelCase    =				self.generate_col_titles(
																								    self.n_vars     ,						self.n_slack     ,						self.n_art_vars      )

																								# Find the values of each variable at optimal solution
																								return self.interpret_tableau(self.tableau     ,						self.col_titles      )

																		UpperCAmelCase   ,					UpperCAmelCase    =				self.find_pivot(self.tableau      )

																		# If there are no more negative values in objective row
																		if self.stop_iter:
																								# Delete artificial variable columns and rows. Update attributes
																								UpperCAmelCase    =				self.change_stage(self.tableau      )
																		else:
																								UpperCAmelCase    =				self.pivot(self.tableau     ,						lowercase_     ,						lowercase_      )
												return {}






						def 			UpperCAmelCase__  (      self				:Union[str, Any]     ,						lowercase_				:np.ndarray     ,						lowercase_				:list[str]      )       ->    dict[str, float]:
												UpperCAmelCase    =				{'P': abs(tableau[0, -1]      )}

												for i in range(self.n_vars      ):
																		# Gives ids of nonzero entries in the ith column
																		UpperCAmelCase    =				np.nonzero(tableau[:, i]      )
																		UpperCAmelCase    =				len(nonzero[0]      )

																		# First entry in the nonzero ids
																		UpperCAmelCase    =				nonzero[0][0]
																		UpperCAmelCase    =				tableau[nonzero_rowidx, i]

																		# If there is only one nonzero value in column, which is one
																		if n_nonzero == nonzero_val == 1:
																								UpperCAmelCase    =				tableau[nonzero_rowidx, -1]
																								UpperCAmelCase    =				rhs_val

        # Check for basic variables
												for title in col_titles:
																		# Don't add RHS or slack variables to output dict
																		if title[0] not in "R-s-a":
																								output_dict.setdefault(lowercase_     ,						0      )
												return output_dict


if __name__ == "__main__":
				import doctest

				doctest.testmod()





