


import gc
import unittest

from diffusers import FlaxDPMSolverMultistepScheduler, FlaxStableDiffusionPipeline
from diffusers.utils import is_flax_available, slow
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
    import jax
    import jax.numpy as jnp
    from flax.jax_utils import replicate
    from flax.training.common_utils import shard


@slow
@require_flax
class     lowercase__  (					unittest.TestCase		):






  def 			_UpperCAmelCase  (					self      :					Union[str, Any] ):




         """simple docstring"""







         super().tearDown()
         gc.collect()






  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         UpperCAmelCase__						,			UpperCAmelCase__										=     FlaxStableDiffusionPipeline.from_pretrained(
             "stabilityai/stable-diffusion-2"		,						revision="bf16"		,						dtype=jnp.bfloataa		,						)

         UpperCAmelCase__										=     "A painting of a squirrel eating a burger"
         UpperCAmelCase__										=     jax.device_count()
         UpperCAmelCase__										=     num_samples * [prompt]
         UpperCAmelCase__										=     sd_pipe.prepare_inputs(_lowercase )

         UpperCAmelCase__										=     replicate(_lowercase )
         UpperCAmelCase__										=     shard(_lowercase )

         UpperCAmelCase__										=     jax.random.PRNGKey(0 )
         UpperCAmelCase__										=     jax.random.split(_lowercase		,						jax.device_count() )

         UpperCAmelCase__										=     sd_pipe(_lowercase		,						_lowercase		,						_lowercase		,						num_inference_steps=25		,						jit=_lowercase )[0]
         assert images.shape == (jax.device_count(), 1, 7_68, 7_68, 3)

         UpperCAmelCase__										=     images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:] )
         UpperCAmelCase__										=     images[0, 2_53:2_56, 2_53:2_56, -1]

         UpperCAmelCase__										=     jnp.asarray(jax.device_get(image_slice.flatten() ) )
         UpperCAmelCase__										=     jnp.array([0.4_2_3_8, 0.4_4_1_4, 0.4_3_9_5, 0.4_4_5_3, 0.4_6_2_9, 0.4_5_9_0, 0.4_5_3_1, 0.4_5_5_0_8, 0.4_5_1_2] )
         print(F"""output_slice: {output_slice}""" )
         assert jnp.abs(output_slice - expected_slice ).max() < 1E-2






  def 			_UpperCAmelCase  (					self      :					Dict ):




         """simple docstring"""







         UpperCAmelCase__										=     "stabilityai/stable-diffusion-2"
         UpperCAmelCase__						,			UpperCAmelCase__										=     FlaxDPMSolverMultistepScheduler.from_pretrained(_lowercase		,						subfolder="scheduler" )
         UpperCAmelCase__						,			UpperCAmelCase__										=     FlaxStableDiffusionPipeline.from_pretrained(
             _lowercase		,						scheduler=_lowercase		,						revision="bf16"		,						dtype=jnp.bfloataa		,						)
         UpperCAmelCase__										=     scheduler_params

         UpperCAmelCase__										=     "A painting of a squirrel eating a burger"
         UpperCAmelCase__										=     jax.device_count()
         UpperCAmelCase__										=     num_samples * [prompt]
         UpperCAmelCase__										=     sd_pipe.prepare_inputs(_lowercase )

         UpperCAmelCase__										=     replicate(_lowercase )
         UpperCAmelCase__										=     shard(_lowercase )

         UpperCAmelCase__										=     jax.random.PRNGKey(0 )
         UpperCAmelCase__										=     jax.random.split(_lowercase		,						jax.device_count() )

         UpperCAmelCase__										=     sd_pipe(_lowercase		,						_lowercase		,						_lowercase		,						num_inference_steps=25		,						jit=_lowercase )[0]
         assert images.shape == (jax.device_count(), 1, 7_68, 7_68, 3)

         UpperCAmelCase__										=     images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:] )
         UpperCAmelCase__										=     images[0, 2_53:2_56, 2_53:2_56, -1]

         UpperCAmelCase__										=     jnp.asarray(jax.device_get(image_slice.flatten() ) )
         UpperCAmelCase__										=     jnp.array([0.4_3_3_6, 0.4_2_9_6_9, 0.4_4_5_3, 0.4_1_9_9, 0.4_2_9_7, 0.4_5_3_1, 0.4_4_3_4, 0.4_4_3_4, 0.4_2_9_7] )
         print(F"""output_slice: {output_slice}""" )
         assert jnp.abs(output_slice - expected_slice ).max() < 1E-2









from __future__ import annotations


class     lowercase__  :






  def __init__(					self      :					int		,						_lowercase      :					list[list[int]] ):




         """simple docstring"""







         UpperCAmelCase__										=     TypeError(
             "Matrices must be formed from a list of zero or more lists containing at "
             "least one and the same number of values, each of which must be of type "
             "int or float." )
         if len(_lowercase ) != 0:
                UpperCAmelCase__										=     len(rows[0] )
                if cols == 0:
                       raise error
                for row in rows:
                       if len(_lowercase ) != cols:
                              raise error
                       for value in row:
                              if not isinstance(_lowercase		,						(int, float) ):
                                     raise error
                UpperCAmelCase__										=     rows
         else:
                UpperCAmelCase__										=     []






  def 			_UpperCAmelCase  (					self      :					Dict ):




         """simple docstring"""







         return [[row[i] for row in self.rows] for i in range(len(self.rows[0] ) )]






  @property
  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         return len(self.rows )






  @property
  def 			_UpperCAmelCase  (					self      :					Optional[Any] ):




         """simple docstring"""







         return len(self.rows[0] )






  @property
  def 			_UpperCAmelCase  (					self      :					Optional[Any] ):




         """simple docstring"""







         return (self.num_rows, self.num_columns)






  @property
  def 			_UpperCAmelCase  (					self      :					Tuple ):




         """simple docstring"""







         return self.order[0] == self.order[1]






  def 			_UpperCAmelCase  (					self      :					Optional[Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     [
             [0 if column_num != row_num else 1 for column_num in range(self.num_rows )]
             for row_num in range(self.num_rows )
         ]
         return Matrix(_lowercase )






  def 			_UpperCAmelCase  (					self      :					Tuple ):




         """simple docstring"""







         if not self.is_square:
                return 0
         if self.order == (0, 0):
                return 1
         if self.order == (1, 1):
                return int(self.rows[0][0] )
         if self.order == (2, 2):
                return int(
                    (self.rows[0][0] * self.rows[1][1])
                    - (self.rows[0][1] * self.rows[1][0]) )
         else:
                return sum(
                    self.rows[0][column] * self.cofactors().rows[0][column]
                    for column in range(self.num_columns ) )






  def 			_UpperCAmelCase  (					self      :					Any ):




         """simple docstring"""







         return bool(self.determinant() )






  def 			_UpperCAmelCase  (					self      :					Optional[Any]		,						_lowercase      :					int		,						_lowercase      :					int ):




         """simple docstring"""







         UpperCAmelCase__										=     [
             [
                 self.rows[other_row][other_column]
                 for other_column in range(self.num_columns )
                 if other_column != column
             ]
             for other_row in range(self.num_rows )
             if other_row != row
         ]
         return Matrix(_lowercase ).determinant()






  def 			_UpperCAmelCase  (					self      :					str		,						_lowercase      :					int		,						_lowercase      :					int ):




         """simple docstring"""







         if (row + column) % 2 == 0:
                return self.get_minor(_lowercase		,						_lowercase )
         return -1 * self.get_minor(_lowercase		,						_lowercase )






  def 			_UpperCAmelCase  (					self      :					Optional[Any] ):




         """simple docstring"""







         return Matrix(
             [
                 [self.get_minor(_lowercase		,						_lowercase ) for column in range(self.num_columns )]
                 for row in range(self.num_rows )
             ] )






  def 			_UpperCAmelCase  (					self      :					List[str] ):




         """simple docstring"""







         return Matrix(
             [
                 [
                     self.minors().rows[row][column]
                     if (row + column) % 2 == 0
                     else self.minors().rows[row][column] * -1
                     for column in range(self.minors().num_columns )
                 ]
                 for row in range(self.minors().num_rows )
             ] )






  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         UpperCAmelCase__										=     [
             [self.cofactors().rows[column][row] for column in range(self.num_columns )]
             for row in range(self.num_rows )
         ]
         return Matrix(_lowercase )






  def 			_UpperCAmelCase  (					self      :					List[str] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.determinant()
         if not determinant:
                raise TypeError("Only matrices with a non-zero determinant have an inverse" )
         return self.adjugate() * (1 / determinant)






  def __repr__(					self      :					Dict ):




         """simple docstring"""







         return str(self.rows )






  def __str__(					self      :					Tuple ):




         """simple docstring"""







         if self.num_rows == 0:
                return "[]"
         if self.num_rows == 1:
                return "[[" + ". ".join(str(self.rows[0] ) ) + "]]"
         return (
             "["
             + "\n ".join(
                 [
                     "[" + ". ".join([str(_lowercase ) for value in row] ) + ".]"
                     for row in self.rows
                 ] )
             + "]"
         )






  def 			_UpperCAmelCase  (					self      :					Any		,						_lowercase      :					list[int]		,						_lowercase      :					int | None = None ):




         """simple docstring"""







         UpperCAmelCase__										=     TypeError("Row must be a list containing all ints and/or floats" )
         if not isinstance(_lowercase		,						_lowercase ):
                raise type_error
         for value in row:
                if not isinstance(_lowercase		,						(int, float) ):
                       raise type_error
         if len(_lowercase ) != self.num_columns:
                raise ValueError(
                    "Row must be equal in length to the other rows in the matrix" )
         if position is None:
                self.rows.append(_lowercase )
         else:
                UpperCAmelCase__										=     self.rows[0:position] + [row] + self.rows[position:]






  def 			_UpperCAmelCase  (					self      :					Optional[Any]		,						_lowercase      :					list[int]		,						_lowercase      :					int | None = None ):




         """simple docstring"""







         UpperCAmelCase__										=     TypeError(
             "Column must be a list containing all ints and/or floats" )
         if not isinstance(_lowercase		,						_lowercase ):
                raise type_error
         for value in column:
                if not isinstance(_lowercase		,						(int, float) ):
                       raise type_error
         if len(_lowercase ) != self.num_rows:
                raise ValueError(
                    "Column must be equal in length to the other columns in the matrix" )
         if position is None:
                UpperCAmelCase__										=     [self.rows[i] + [column[i]] for i in range(self.num_rows )]
         else:
                UpperCAmelCase__										=     [
                    self.rows[i][0:position] + [column[i]] + self.rows[i][position:]
                    for i in range(self.num_rows )
                ]






  def __eq__(					self      :					Dict		,						_lowercase      :					object ):




         """simple docstring"""







         if not isinstance(_lowercase		,						_lowercase ):
                return NotImplemented
         return self.rows == other.rows






  def __ne__(					self      :					List[Any]		,						_lowercase      :					object ):




         """simple docstring"""







         return not self == other






  def __neg__(					self      :					int ):




         """simple docstring"""







         return self * -1






  def __add__(					self      :					List[Any]		,						_lowercase      :					Matrix ):




         """simple docstring"""







         if self.order != other.order:
                raise ValueError("Addition requires matrices of the same order" )
         return Matrix(
             [
                 [self.rows[i][j] + other.rows[i][j] for j in range(self.num_columns )]
                 for i in range(self.num_rows )
             ] )






  def __sub__(					self      :					Optional[int]		,						_lowercase      :					Matrix ):




         """simple docstring"""







         if self.order != other.order:
                raise ValueError("Subtraction requires matrices of the same order" )
         return Matrix(
             [
                 [self.rows[i][j] - other.rows[i][j] for j in range(self.num_columns )]
                 for i in range(self.num_rows )
             ] )






  def __mul__(					self      :					int		,						_lowercase      :					Matrix | int | float ):




         """simple docstring"""







         if isinstance(_lowercase		,						(int, float) ):
                return Matrix(
                    [[int(element * other ) for element in row] for row in self.rows] )
         elif isinstance(_lowercase		,						_lowercase ):
                if self.num_columns != other.num_rows:
                       raise ValueError(
                           "The number of columns in the first matrix must "
                           "be equal to the number of rows in the second" )
                return Matrix(
                    [
                        [Matrix.dot_product(_lowercase		,						_lowercase ) for column in other.columns()]
                        for row in self.rows
                    ] )
         else:
                raise TypeError(
                    "A Matrix can only be multiplied by an int, float, or another matrix" )






  def __pow__(					self      :					Optional[Any]		,						_lowercase      :					int ):




         """simple docstring"""







         if not isinstance(_lowercase		,						_lowercase ):
                raise TypeError("A Matrix can only be raised to the power of an int" )
         if not self.is_square:
                raise ValueError("Only square matrices can be raised to a power" )
         if other == 0:
                return self.identity()
         if other < 0:
                if self.is_invertable():
                       return self.inverse() ** (-other)
                raise ValueError(
                    "Only invertable matrices can be raised to a negative power" )
         UpperCAmelCase__										=     self
         for _ in range(other - 1 ):
                result *= self
         return result






  @classmethod
  def 			_UpperCAmelCase  (					cls      :					List[Any]		,						_lowercase      :					list[int]		,						_lowercase      :					list[int] ):




         """simple docstring"""







         return sum(row[i] * column[i] for i in range(len(_lowercase ) ) )


if __name__ == "__main__":
    import doctest

    doctest.testmod()





