
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available


if is_torch_available():
 from transformers.pytorch_utils import is_torch_greater_or_equal_than_1_11
else:
 __lowerCAmelCase   :     Union[str, Any]      =						False

if is_vision_available():
 from PIL import Image

 from transformers import (
     AutoProcessor,
     PixaStructImageProcessor,
     PixaStructProcessor,
     PreTrainedTokenizerFast,
     TaTokenizer,
 )


@unittest.skipIf(
    not is_torch_greater_or_equal_than_1_11	,	reason='''`Pix2StructImageProcessor` requires `torch>=1.11.0`.'''	,	)
@require_vision
@require_torch
class   __lowerCAmelCase		(		unittest.TestCase ):



      """simple docstring"""







      def 						snake_case_     ( self						:    Tuple			):
          __lowercase						:     List[Any]		      =    tempfile.mkdtemp()

          __lowercase						:     List[Any]		      =    PixaStructImageProcessor()
          __lowercase						:     Union[str, Any]		      =    TaTokenizer.from_pretrained('''t5-small'''			)

          __lowercase						:     List[str]		      =    PixaStructProcessor(_snake_case			,    _snake_case			)

          processor.save_pretrained(self.tmpdirname			)




      def 						snake_case_     ( self						:    Optional[int]			,    **_snake_case						:    List[Any]			):
          return AutoProcessor.from_pretrained(self.tmpdirname			,    **_snake_case			).tokenizer




      def 						snake_case_     ( self						:    List[str]			,    **_snake_case						:    Any			):
          return AutoProcessor.from_pretrained(self.tmpdirname			,    **_snake_case			).image_processor




      def 						snake_case_     ( self						:    List[Any]			):
          shutil.rmtree(self.tmpdirname			)




      def 						snake_case_     ( self						:    List[str]			):
          __lowercase						:     Union[str, Any]		      =    [np.random.randint(255			,    size=(3, 30, 400)			,    dtype=np.uinta			)]

          __lowercase						:     Optional[Any]		      =    [Image.fromarray(np.moveaxis(_snake_case			,    0			,    -1			)			) for x in image_inputs]

          return image_inputs




      def 						snake_case_     ( self						:    Optional[Any]			):
          __lowercase						:     Optional[int]		      =    PixaStructProcessor(tokenizer=self.get_tokenizer()			,    image_processor=self.get_image_processor()			)
          processor.save_pretrained(self.tmpdirname			)

          __lowercase						:     Optional[Any]		      =    self.get_tokenizer(bos_token='''(BOS)'''			,    eos_token='''(EOS)'''			)
          __lowercase						:     str		      =    self.get_image_processor(do_normalize=_snake_case			,    padding_value=1.0			)

          __lowercase						:     Union[str, Any]		      =    PixaStructProcessor.from_pretrained(
              self.tmpdirname			,    bos_token='''(BOS)'''			,    eos_token='''(EOS)'''			,    do_normalize=_snake_case			,    padding_value=1.0			)

          self.assertEqual(processor.tokenizer.get_vocab()			,    tokenizer_add_kwargs.get_vocab()			)
          self.assertIsInstance(processor.tokenizer			,    _snake_case			)

          self.assertEqual(processor.image_processor.to_json_string()			,    image_processor_add_kwargs.to_json_string()			)
          self.assertIsInstance(processor.image_processor			,    _snake_case			)




      def 						snake_case_     ( self						:    str			):
          __lowercase						:     Union[str, Any]		      =    self.get_image_processor()
          __lowercase						:     Union[str, Any]		      =    self.get_tokenizer()

          __lowercase						:     Optional[Any]		      =    PixaStructProcessor(tokenizer=_snake_case			,    image_processor=_snake_case			)

          __lowercase						:     List[Any]		      =    self.prepare_image_inputs()

          __lowercase						:     int		      =    image_processor(_snake_case			,    return_tensors='''np'''			)
          __lowercase						:     Any		      =    processor(images=_snake_case			,    return_tensors='''np'''			)

          for key in input_feat_extract.keys():
              self.assertAlmostEqual(input_feat_extract[key].sum()			,    input_processor[key].sum()			,    delta=1E-2			)




      def 						snake_case_     ( self						:    List[str]			):
          __lowercase						:     int		      =    self.get_image_processor()
          __lowercase						:     List[Any]		      =    self.get_tokenizer()

          __lowercase						:     Dict		      =    PixaStructProcessor(tokenizer=_snake_case			,    image_processor=_snake_case			)

          __lowercase						:     Union[str, Any]		      =    '''lower newer'''

          __lowercase						:     Optional[Any]		      =    processor(text=_snake_case			)

          __lowercase						:     str		      =    tokenizer(_snake_case			,    return_token_type_ids=_snake_case			,    add_special_tokens=_snake_case			)

          for key in encoded_tok.keys():
              self.assertListEqual(encoded_tok[key]			,    encoded_processor[key]			)




      def 						snake_case_     ( self						:    Tuple			):
          __lowercase						:     int		      =    self.get_image_processor()
          __lowercase						:     Optional[Any]		      =    self.get_tokenizer()

          __lowercase						:     Any		      =    PixaStructProcessor(tokenizer=_snake_case			,    image_processor=_snake_case			)

          __lowercase						:     Optional[Any]		      =    '''lower newer'''
          __lowercase						:     List[str]		      =    self.prepare_image_inputs()

          __lowercase						:     Union[str, Any]		      =    processor(text=_snake_case			,    images=_snake_case			)

          self.assertListEqual(
              list(inputs.keys()			)			,    ['''flattened_patches''', '''attention_mask''', '''decoder_attention_mask''', '''decoder_input_ids''']			)

          # test if it raises when no input is passed
          with pytest.raises(_snake_case			):
              processor()




      def 						snake_case_     ( self						:    List[str]			):
          __lowercase						:     Union[str, Any]		      =    self.get_image_processor()
          __lowercase						:     List[Any]		      =    self.get_tokenizer()

          __lowercase						:     Dict		      =    PixaStructProcessor(tokenizer=_snake_case			,    image_processor=_snake_case			)

          __lowercase						:     List[Any]		      =    '''lower newer'''
          __lowercase						:     Optional[int]		      =    self.prepare_image_inputs()

          __lowercase						:     int		      =    processor(text=_snake_case			,    images=_snake_case			)

          __lowercase						:     str		      =    [512, 1024, 2048, 4096]
          __lowercase						:     List[Any]		      =    [770, 770, 770, 770]
          # with text
          for i, max_patch in enumerate(_snake_case			):
              __lowercase						:     List[Any]		      =    processor(text=_snake_case			,    images=_snake_case			,    max_patches=_snake_case			)
              self.assertEqual(inputs['''flattened_patches'''][0].shape[0]			,    _snake_case			)
              self.assertEqual(inputs['''flattened_patches'''][0].shape[1]			,    expected_hidden_size[i]			)

          # without text input
          for i, max_patch in enumerate(_snake_case			):
              __lowercase						:     List[str]		      =    processor(images=_snake_case			,    max_patches=_snake_case			)
              self.assertEqual(inputs['''flattened_patches'''][0].shape[0]			,    _snake_case			)
              self.assertEqual(inputs['''flattened_patches'''][0].shape[1]			,    expected_hidden_size[i]			)




      def 						snake_case_     ( self						:    List[str]			):
          __lowercase						:     Dict		      =    self.get_image_processor()
          __lowercase						:     str		      =    self.get_tokenizer()

          __lowercase						:     List[str]		      =    PixaStructProcessor(tokenizer=_snake_case			,    image_processor=_snake_case			)

          __lowercase						:     Dict		      =    [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

          __lowercase						:     Optional[int]		      =    processor.batch_decode(_snake_case			)
          __lowercase						:     Optional[int]		      =    tokenizer.batch_decode(_snake_case			)

          self.assertListEqual(_snake_case			,    _snake_case			)




      def 						snake_case_     ( self						:    Tuple			):
          __lowercase						:     Any		      =    self.get_image_processor()
          __lowercase						:     Any		      =    self.get_tokenizer()

          __lowercase						:     Optional[int]		      =    PixaStructProcessor(tokenizer=_snake_case			,    image_processor=_snake_case			)

          __lowercase						:     Union[str, Any]		      =    '''lower newer'''
          __lowercase						:     str		      =    self.prepare_image_inputs()

          __lowercase						:     Optional[Any]		      =    processor(text=_snake_case			,    images=_snake_case			)

          # For now the processor supports only ["flattened_patches", "input_ids", "attention_mask", "decoder_attention_mask"]
          self.assertListEqual(
              list(inputs.keys()			)			,    ['''flattened_patches''', '''attention_mask''', '''decoder_attention_mask''', '''decoder_input_ids''']			)

          __lowercase						:     int		      =    processor(text=_snake_case			)

          # For now the processor supports only ["flattened_patches", "input_ids", "attention_mask", "decoder_attention_mask"]
          self.assertListEqual(list(inputs.keys()			)			,    ['''input_ids''', '''attention_mask''']			)




from __future__ import annotations

from math import pi, pow


def       UpperCAmelCase_					(  __lowerCAmelCase		)	->  float:
    if side_length < 0:
        raise ValueError('''vol_cube() only accepts non-negative values'''		)
    return pow(__lowerCAmelCase		,   3		)


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		)	->  float:
    if height < 0 or radius < 0:
        raise ValueError('''vol_spherical_cap() only accepts non-negative values'''		)
    # Volume is 1/3 pi * height squared * (3 * radius - height)
    return 1 / 3 * pi * pow(__lowerCAmelCase		,   2		) * (3 * radius - height)


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		)	->  float:
    if radius_a < 0 or radius_a < 0 or centers_distance < 0:
        raise ValueError('''vol_spheres_intersect() only accepts non-negative values'''		)
    if centers_distance == 0:
        return vol_sphere(min(__lowerCAmelCase		,   __lowerCAmelCase		)		)

    __lowercase						:     Dict		      =    (
        (radius_a - radius_a + centers_distance)
        * (radius_a + radius_a - centers_distance)
        / (2 * centers_distance)
    )
    __lowercase						:     Optional[int]		      =    (
        (radius_a - radius_a + centers_distance)
        * (radius_a + radius_a - centers_distance)
        / (2 * centers_distance)
    )

    return vol_spherical_cap(__lowerCAmelCase		,   __lowerCAmelCase		) + vol_spherical_cap(__lowerCAmelCase		,   __lowerCAmelCase		)


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		)	->  float:

    if radius_a <= 0 or radius_a <= 0 or centers_distance < 0:
        raise ValueError(
            '''vol_spheres_union() only accepts non-negative values, non-zero radius'''		)

    if centers_distance == 0:
        return vol_sphere(max(__lowerCAmelCase		,   __lowerCAmelCase		)		)

    return (
        vol_sphere(__lowerCAmelCase		)
        + vol_sphere(__lowerCAmelCase		)
        - vol_spheres_intersect(__lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		)
    )


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		)	->  float:
    if width < 0 or height < 0 or length < 0:
        raise ValueError('''vol_cuboid() only accepts non-negative values'''		)
    return float(width * height * length		)


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		)	->  float:
    if height < 0 or area_of_base < 0:
        raise ValueError('''vol_cone() only accepts non-negative values'''		)
    return area_of_base * height / 3.0


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		)	->  float:
    if height < 0 or radius < 0:
        raise ValueError('''vol_right_circ_cone() only accepts non-negative values'''		)
    return pi * pow(__lowerCAmelCase		,   2		) * height / 3.0


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		)	->  float:
    if height < 0 or area_of_base < 0:
        raise ValueError('''vol_prism() only accepts non-negative values'''		)
    return float(area_of_base * height		)


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		)	->  float:
    if height < 0 or area_of_base < 0:
        raise ValueError('''vol_pyramid() only accepts non-negative values'''		)
    return area_of_base * height / 3.0


def       UpperCAmelCase_					(  __lowerCAmelCase		)	->  float:
    if radius < 0:
        raise ValueError('''vol_sphere() only accepts non-negative values'''		)
    # Volume is 4/3 * pi * radius cubed
    return 4 / 3 * pi * pow(__lowerCAmelCase		,   3		)


def       UpperCAmelCase_					(  __lowerCAmelCase		)	->  float:
    if radius < 0:
        raise ValueError('''vol_hemisphere() only accepts non-negative values'''		)
    # Volume is radius cubed * pi * 2/3
    return pow(__lowerCAmelCase		,   3		) * pi * 2 / 3


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		)	->  float:
    if height < 0 or radius < 0:
        raise ValueError('''vol_circular_cylinder() only accepts non-negative values'''		)
    # Volume is radius squared * height * pi
    return pow(__lowerCAmelCase		,   2		) * height * pi


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		)	->  float:
    # Volume - (outer_radius squared - inner_radius squared) * pi * height
    if inner_radius < 0 or outer_radius < 0 or height < 0:
        raise ValueError(
            '''vol_hollow_circular_cylinder() only accepts non-negative values'''		)
    if outer_radius <= inner_radius:
        raise ValueError('''outer_radius must be greater than inner_radius'''		)
    return pi * (pow(__lowerCAmelCase		,   2		) - pow(__lowerCAmelCase		,   2		)) * height


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		,   __lowerCAmelCase		)	->  float:
    # Volume is 1/3 * pi * height *
    #           (radius_1 squared + radius_2 squared + radius_1 * radius_2)
    if radius_a < 0 or radius_a < 0 or height < 0:
        raise ValueError('''vol_conical_frustum() only accepts non-negative values'''		)
    return (
        1
        / 3
        * pi
        * height
        * (pow(__lowerCAmelCase		,   2		) + pow(__lowerCAmelCase		,   2		) + radius_a * radius_a)
    )


def       UpperCAmelCase_					(  __lowerCAmelCase		,   __lowerCAmelCase		)	->  float:
    if torus_radius < 0 or tube_radius < 0:
        raise ValueError('''vol_torus() only accepts non-negative values'''		)
    return 2 * pow(__lowerCAmelCase		,   2		) * torus_radius * pow(__lowerCAmelCase		,   2		)


def       UpperCAmelCase_					(  )	->  Optional[Any]:
    print('''Volumes:'''		)
    print(F'Cube: {vol_cube(2		) = }'		)  # = 8
    print(F'Cuboid: {vol_cuboid(2		,   2		,   2		) = }'		)  # = 8
    print(F'Cone: {vol_cone(2		,   2		) = }'		)  # ~= 1.33
    print(F'Right Circular Cone: {vol_right_circ_cone(2		,   2		) = }'		)  # ~= 8.38
    print(F'Prism: {vol_prism(2		,   2		) = }'		)  # = 4
    print(F'Pyramid: {vol_pyramid(2		,   2		) = }'		)  # ~= 1.33
    print(F'Sphere: {vol_sphere(2		) = }'		)  # ~= 33.5
    print(F'Hemisphere: {vol_hemisphere(2		) = }'		)  # ~= 16.75
    print(F'Circular Cylinder: {vol_circular_cylinder(2		,   2		) = }'		)  # ~= 25.1
    print(F'Torus: {vol_torus(2		,   2		) = }'		)  # ~= 157.9
    print(F'Conical Frustum: {vol_conical_frustum(2		,   2		,   4		) = }'		)  # ~= 58.6
    print(F'Spherical cap: {vol_spherical_cap(1		,   2		) = }'		)  # ~= 5.24
    print(F'Spheres intersetion: {vol_spheres_intersect(2		,   2		,   1		) = }'		)  # ~= 21.21
    print(F'Spheres union: {vol_spheres_union(2		,   2		,   1		) = }'		)  # ~= 45.81
    print(
        F'Hollow Circular Cylinder: {vol_hollow_circular_cylinder(1		,   2		,   3		) = }'		)  # ~= 28.3


if __name__ == "__main__":
 main()


