import unittest

from diffusers import __version__
from diffusers.utils import deprecate


class _a       (	unittest.TestCase ):

	'''simple docstring'''



	lowerCamelCase_   :      Union[str, Any]       =	""".""".join([str(int(__version__.split(""".""" )[0] ) + 1 )] + __version__.split(""".""" )[1:] )
	lowerCamelCase_   :      Tuple       =	"""0.0.1"""

	def 					__UpperCAmelCase(       self   ):
			__A							:   Dict	  =				{"deprecated_arg": 4}

			with self.assertWarns(__UpperCAmelCase   ) as warning:
					__A							:   Optional[Any]	  =				deprecate("deprecated_arg"							,			self.higher_version							,			"message"							,			take_from=__UpperCAmelCase   )

			assert output == 4
			assert (
			    str(warning.warning   )
			    == F"The `deprecated_arg` argument is deprecated and will be removed in version {self.higher_version}."
			    " message"
			)

	def 					__UpperCAmelCase(       self   ):
			__A							:   Optional[Any]	  =				{"deprecated_arg": 4}

			with self.assertWarns(__UpperCAmelCase   ) as warning:
					__A							:   Any	  =				deprecate(("deprecated_arg", self.higher_version, "message")							,			take_from=__UpperCAmelCase   )

			assert output == 4
			assert (
			    str(warning.warning   )
			    == F"The `deprecated_arg` argument is deprecated and will be removed in version {self.higher_version}."
			    " message"
			)

	def 					__UpperCAmelCase(       self   ):
			__A							:   Any	  =				{"deprecated_arg_1": 4, "deprecated_arg_2": 8}
			with self.assertWarns(__UpperCAmelCase   ) as warning:
					__A  ,       __A							:   Optional[Any]	  =				deprecate(
					    ("deprecated_arg_1", self.higher_version, "Hey")							,			("deprecated_arg_2", self.higher_version, "Hey")							,			take_from=__UpperCAmelCase							,			)
			assert output_a == 4
			assert output_a == 8
			assert (
			    str(warning.warnings[0].message   )
			    == "The `deprecated_arg_1` argument is deprecated and will be removed in version"
			    F" {self.higher_version}. Hey"
			)
			assert (
			    str(warning.warnings[1].message   )
			    == "The `deprecated_arg_2` argument is deprecated and will be removed in version"
			    F" {self.higher_version}. Hey"
			)

	def 					__UpperCAmelCase(       self   ):
			__A							:   Union[str, Any]	  =				{"deprecated_arg": 4}

			with self.assertRaises(__UpperCAmelCase   ) as error:
					deprecate(("wrong_arg", self.higher_version, "message")							,			take_from=__UpperCAmelCase   )

			assert "test_deprecate_function_incorrect_arg in" in str(error.exception   )
			assert "line" in str(error.exception   )
			assert "got an unexpected keyword argument `deprecated_arg`" in str(error.exception   )

	def 					__UpperCAmelCase(       self   ):
			with self.assertWarns(__UpperCAmelCase   ) as warning:
					deprecate(("deprecated_arg", self.higher_version, "message")   )

			assert (
			    str(warning.warning   )
			    == F"`deprecated_arg` is deprecated and will be removed in version {self.higher_version}. message"
			)

	def 					__UpperCAmelCase(       self   ):
			with self.assertWarns(__UpperCAmelCase   ) as warning:
					deprecate(
					    ("deprecated_arg_1", self.higher_version, "Hey")							,			("deprecated_arg_2", self.higher_version, "Hey")							,			)
			assert (
			    str(warning.warnings[0].message   )
			    == F"`deprecated_arg_1` is deprecated and will be removed in version {self.higher_version}. Hey"
			)
			assert (
			    str(warning.warnings[1].message   )
			    == F"`deprecated_arg_2` is deprecated and will be removed in version {self.higher_version}. Hey"
			)

	def 					__UpperCAmelCase(       self   ):


			class _a       :

				'''simple docstring'''



				lowerCamelCase_   :      Optional[Any]       =	5

			with self.assertWarns(__UpperCAmelCase   ) as warning:
					__A							:   str	  =				deprecate(("arg", self.higher_version, "message")							,			take_from=Args()   )

			assert arg == 5
			assert (
			    str(warning.warning   )
			    == F"The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message"
			)

	def 					__UpperCAmelCase(       self   ):


			class _a       :

				'''simple docstring'''



				lowerCamelCase_   :      str       =	5
				lowerCamelCase_   :      str       =	7

			with self.assertWarns(__UpperCAmelCase   ) as warning:
					__A  ,       __A							:   Union[str, Any]	  =				deprecate(
					    ("arg", self.higher_version, "message")							,			("foo", self.higher_version, "message")							,			("does not exist", self.higher_version, "message")							,			take_from=Args()							,			)

			assert arg_a == 5
			assert arg_a == 7
			assert (
			    str(warning.warning   )
			    == F"The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message"
			)
			assert (
			    str(warning.warnings[0].message   )
			    == F"The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message"
			)
			assert (
			    str(warning.warnings[1].message   )
			    == F"The `foo` attribute is deprecated and will be removed in version {self.higher_version}. message"
			)

	def 					__UpperCAmelCase(       self   ):
			__A							:   Optional[Any]	  =				{"deprecated_arg": 4}

			with self.assertRaises(__UpperCAmelCase   ) as error:
					deprecate(("wrong_arg", self.lower_version, "message")							,			take_from=__UpperCAmelCase   )

			assert (
			    str(error.exception   )
			    == "The deprecation tuple ('wrong_arg', '0.0.1', 'message') should be removed since diffusers' version"
			    F" {__version__} is >= {self.lower_version}"
			)

	def 					__UpperCAmelCase(       self   ):
			with self.assertWarns(__UpperCAmelCase   ) as warning:
					deprecate(("deprecated_arg", self.higher_version, "This message is better!!!")							,			standard_warn=__UpperCAmelCase   )

			assert str(warning.warning   ) == "This message is better!!!"







	def 					__UpperCAmelCase(       self   ):
			with self.assertWarns(__UpperCAmelCase   ) as warning:
					deprecate(("deprecated_arg", self.higher_version, "This message is better!!!")							,			standard_warn=__UpperCAmelCase   )
			assert str(warning.warning   ) == "This message is better!!!"
			assert "diffusers/tests/others/test_utils.py" in warning.filename






from typing import Any

import numpy as np


class _a       :

	'''simple docstring'''



	def __init__(       self							,			__UpperCAmelCase							,			__UpperCAmelCase   ):
			# Check if RHS is negative
			if np.any(tableau[:, -1]							,			where=tableau[:, -1] < 0   ):
					raise ValueError("RHS must be > 0"   )

			__A							:   Any	  =				tableau
			__A  ,       __A							:   Dict	  =				tableau.shape

			# Number of decision variables x1, x2, x3...
			__A							:   Any	  =				n_vars

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

			# 2 if there are >= or == constraints (nonstandard), 1 otherwise (std)
			__A							:   List[Any]	  =				(self.n_art_vars > 0) + 1

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

			# Objectives for each stage
			__A							:   List[Any]	  =				["max"]

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

			__A							:   Tuple	  =				[""]

			# Index of current pivot row and column
			__A							:   Tuple	  =				None
			__A							:   List[str]	  =				None

			# Does objective row only contain (non)-negative values?
			__A							:   Optional[int]	  =				False

	@staticmethod
	def 					__UpperCAmelCase(       *__UpperCAmelCase   ):
			if len(__UpperCAmelCase   ) != 3:
					raise ValueError("Must provide n_vars, n_slack, and n_art_vars"   )

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

			# decision | slack | artificial
			__A							:   List[Any]	  =				["x", "s", "a"]
			__A							:   List[str]	  =				[]
			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							,			__UpperCAmelCase   ):
			__A							:   Optional[Any]	  =				self.objectives[-1]

			# Find entries of highest magnitude in objective rows
			__A							:   Optional[int]	  =				(objective == "min") - (objective == "max")
			__A							:   Any	  =				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:
					__A							:   Any	  =				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
			__A							:   Optional[int]	  =				slice(self.n_stages							,			self.n_rows   )

			# RHS
			__A							:   Optional[Any]	  =				tableau[s, -1]

			# Elements of pivot column within slice
			__A							:   List[Any]	  =				tableau[s, col_idx]

			# Array filled with nans
			__A							:   Union[str, Any]	  =				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
			__A							:   int	  =				np.divide(__UpperCAmelCase							,			__UpperCAmelCase							,			out=__UpperCAmelCase							,			where=divisor > 0   )

			# Arg of minimum quotient excluding the nan values. n_stages is added
			# to compensate for earlier exclusion of objective columns
			__A							:   Optional[Any]	  =				np.nanargmin(__UpperCAmelCase   ) + self.n_stages
			return row_idx, col_idx

	def 					__UpperCAmelCase(       self							,			__UpperCAmelCase							,			__UpperCAmelCase							,			__UpperCAmelCase   ):
			__A							:   List[Any]	  =				tableau[row_idx].copy()

			__A							:   Tuple	  =				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
			__A							:   str	  =				piv_row
			return tableau

	def 					__UpperCAmelCase(       self							,			__UpperCAmelCase   ):
			self.objectives.pop()

			if not self.objectives:
					return tableau

			# Slice containing ids for artificial columns
			__A							:   List[Any]	  =				slice(-self.n_art_vars - 1							,			-1   )

			# Delete the artificial variable columns
			__A							:   Tuple	  =				np.delete(__UpperCAmelCase							,			__UpperCAmelCase							,			axis=1   )

			# Delete the objective row of the first stage
			__A							:   List[str]	  =				np.delete(__UpperCAmelCase							,			0							,			axis=0   )

			__A							:   Union[str, Any]	  =				1
			self.n_rows -= 1
			__A							:   str	  =				0
			__A							:   str	  =				False
			return tableau

	def 					__UpperCAmelCase(       self   ):
			# Stop simplex algorithm from cycling.
			for _ in range(100   ):
					# Completion of each stage removes an objective. If both stages
					# are complete, then no objectives are left
					if not self.objectives:
							__A							:   Optional[Any]	  =				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   )

					__A  ,       __A							:   Dict	  =				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
							__A							:   int	  =				self.change_stage(self.tableau   )
					else:
							__A							:   Dict	  =				self.pivot(self.tableau							,			__UpperCAmelCase							,			__UpperCAmelCase   )
			return {}







	def 					__UpperCAmelCase(       self							,			__UpperCAmelCase							,			__UpperCAmelCase   ):
			__A							:   Union[str, Any]	  =				{"P": abs(tableau[0, -1]   )}

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

					# First entry in the nonzero ids
					__A							:   List[Any]	  =				nonzero[0][0]
					__A							:   Tuple	  =				tableau[nonzero_rowidx, i]

					# If there is only one nonzero value in column, which is one
					if n_nonzero == nonzero_val == 1:
							__A							:   Union[str, Any]	  =				tableau[nonzero_rowidx, -1]
							__A							:   Optional[int]	  =				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(__UpperCAmelCase							,			0   )
			return output_dict


if __name__ == "__main__":
					import doctest

					doctest.testmod()





