

'''simple docstring'''



from __future__ import annotations

import math
import random
from collections.abc import Collection
from typing import overload



class lowerCamelCase			:



			'''simple docstring'''






			def __init__(				self	:						str		,      lowerCAmelCase_	:						Collection[float] | None = None			)      ->		None:





									'''simple docstring'''
									if components is None:
															A__					:       Optional[Any]     =[]
									A__					:       Union[str, Any]     =list(lowerCAmelCase_			)


			def __len__(				self	:						Union[str, Any]			)      ->		int:





									'''simple docstring'''
									return len(self.__components			)


			def __str__(				self	:						Optional[Any]			)      ->		str:





									'''simple docstring'''
									return "(" + ",".join(map(lowerCAmelCase_		,      self.__components			)			) + ")"


			def __add__(				self	:						List[str]		,      lowerCAmelCase_	:						Vector			)      ->		Vector:





									'''simple docstring'''
									A__					:       str     =len(self			)
									if size == len(lowerCAmelCase_			):
															A__					:       Dict     =[self.__components[i] + other.component(lowerCAmelCase_			) for i in range(lowerCAmelCase_			)]
															return Vector(lowerCAmelCase_			)
									else:
															raise Exception("""must have the same size"""			)


			def __sub__(				self	:						Any		,      lowerCAmelCase_	:						Vector			)      ->		Vector:





									'''simple docstring'''
									A__					:       Optional[int]     =len(self			)
									if size == len(lowerCAmelCase_			):
															A__					:       Optional[Any]     =[self.__components[i] - other.component(lowerCAmelCase_			) for i in range(lowerCAmelCase_			)]
															return Vector(lowerCAmelCase_			)
									else:  # error case
															raise Exception("""must have the same size"""			)


			@overload
			def __mul__(				self	:						Union[str, Any]		,      lowerCAmelCase_	:						float			)      ->		Vector:





									'''simple docstring'''
									...


			@overload
			def __mul__(				self	:						List[str]		,      lowerCAmelCase_	:						Vector			)      ->		float:





									'''simple docstring'''
									...


			def __mul__(				self	:						Any		,      lowerCAmelCase_	:						float | Vector			)      ->		float | Vector:





									'''simple docstring'''
									if isinstance(lowerCAmelCase_		,      (float, int)			):
															A__					:       Any     =[c * other for c in self.__components]
															return Vector(lowerCAmelCase_			)
									elif isinstance(lowerCAmelCase_		,      lowerCAmelCase_			) and len(self			) == len(lowerCAmelCase_			):
															A__					:       Tuple     =len(self			)
															A__					:       Tuple     =[self.__components[i] * other.component(lowerCAmelCase_			) for i in range(lowerCAmelCase_			)]
															return sum(lowerCAmelCase_			)
									else:  # error case
															raise Exception("""invalid operand!"""			)


			def lowercase__						(				self	:						Tuple			)      ->		Vector:





									'''simple docstring'''
									return Vector(self.__components			)


			def lowercase__						(				self	:						List[str]		,      lowerCAmelCase_	:						int			)      ->		float:





									'''simple docstring'''
									if isinstance(lowerCAmelCase_		,      lowerCAmelCase_			) and -len(self.__components			) <= i < len(self.__components			):
															return self.__components[i]
									else:
															raise Exception("""index out of range"""			)


			def lowercase__						(				self	:						Tuple		,      lowerCAmelCase_	:						int		,      lowerCAmelCase_	:						float			)      ->		None:





									'''simple docstring'''
									assert -len(self.__components			) <= pos < len(self.__components			)
									A__					:       str     =value


			def lowercase__						(				self	:						Dict			)      ->		float:





									'''simple docstring'''
									if len(self.__components			) == 0:
															raise Exception("""Vector is empty"""			)
									A__					:       Dict     =[c**2 for c in self.__components]
									return math.sqrt(sum(lowerCAmelCase_			)			)



			def lowercase__						(				self	:						str		,      lowerCAmelCase_	:						Vector		,      lowerCAmelCase_	:						bool = False			)      ->		float:





									'''simple docstring'''
									A__					:       str     =self * other
									A__					:       Optional[Any]     =self.euclidean_length() * other.euclidean_length()
									if deg:
															return math.degrees(math.acos(num / den			)			)
									else:
															return math.acos(num / den			)


def 						__lowerCamelCase	(       __snake_case					:		int	)	->							Vector:






						"""simple docstring"""





						assert isinstance(__snake_case,		__snake_case	)
						return Vector([0] * dimension	)
def 						__lowerCamelCase	(       __snake_case					:		int,		__snake_case					:		int	)	->							Vector:






						"""simple docstring"""





						assert isinstance(__snake_case,		__snake_case	) and (isinstance(__snake_case,		__snake_case	))
						A__					:       Optional[int]     =[0] * dimension
						A__					:       Dict     =1
						return Vector(__snake_case	)
def 						__lowerCamelCase	(       __snake_case					:		float,		__snake_case					:		Vector,		__snake_case					:		Vector	)	->							Vector:






						"""simple docstring"""





						assert (
						    isinstance(__snake_case,		__snake_case	)
						    and isinstance(__snake_case,		__snake_case	)
						    and (isinstance(__snake_case,		(int, float)	))
						)
						return x * scalar + y
def 						__lowerCamelCase	(       __snake_case					:		int,		__snake_case					:		int,		__snake_case					:		int	)	->							Vector:






						"""simple docstring"""





						random.seed(__snake_case	)
						A__					:       Optional[int]     =[random.randint(__snake_case,		__snake_case	) for _ in range(__snake_case	)]
						return Vector(__snake_case	)



class lowerCamelCase			:



			'''simple docstring'''






			def __init__(				self	:						Optional[int]		,      lowerCAmelCase_	:						list[list[float]]		,      lowerCAmelCase_	:						int		,      lowerCAmelCase_	:						int			)      ->		None:





									'''simple docstring'''
									A__					:       int     =matrix
									A__					:       Dict     =w
									A__					:       Dict     =h


			def __str__(				self	:						Tuple			)      ->		str:





									'''simple docstring'''
									A__					:       Any     =""""""
									for i in range(self.__height			):
															ans += "|"
															for j in range(self.__width			):
																					if j < self.__width - 1:
																											ans += str(self.__matrix[i][j]			) + ","
																					else:
																											ans += str(self.__matrix[i][j]			) + "|\n"
									return ans


			def __add__(				self	:						List[str]		,      lowerCAmelCase_	:						Matrix			)      ->		Matrix:





									'''simple docstring'''
									if self.__width == other.width() and self.__height == other.height():
															A__					:       Dict     =[]
															for i in range(self.__height			):
																					A__					:       Any     =[
																					    self.__matrix[i][j] + other.component(lowerCAmelCase_		,      lowerCAmelCase_			)
																					    for j in range(self.__width			)
																					]
																					matrix.append(lowerCAmelCase_			)
															return Matrix(lowerCAmelCase_		,      self.__width		,      self.__height			)
									else:
															raise Exception("""matrix must have the same dimension!"""			)


			def __sub__(				self	:						int		,      lowerCAmelCase_	:						Matrix			)      ->		Matrix:





									'''simple docstring'''
									if self.__width == other.width() and self.__height == other.height():
															A__					:       str     =[]
															for i in range(self.__height			):
																					A__					:       Tuple     =[
																					    self.__matrix[i][j] - other.component(lowerCAmelCase_		,      lowerCAmelCase_			)
																					    for j in range(self.__width			)
																					]
																					matrix.append(lowerCAmelCase_			)
															return Matrix(lowerCAmelCase_		,      self.__width		,      self.__height			)
									else:
															raise Exception("""matrices must have the same dimension!"""			)


			@overload
			def __mul__(				self	:						str		,      lowerCAmelCase_	:						float			)      ->		Matrix:





									'''simple docstring'''
									...


			@overload
			def __mul__(				self	:						Tuple		,      lowerCAmelCase_	:						Vector			)      ->		Vector:





									'''simple docstring'''
									...


			def __mul__(				self	:						List[Any]		,      lowerCAmelCase_	:						float | Vector			)      ->		Vector | Matrix:





									'''simple docstring'''
									if isinstance(lowerCAmelCase_		,      lowerCAmelCase_			):  # matrix-vector
															if len(lowerCAmelCase_			) == self.__width:
																					A__					:       int     =zero_vector(self.__height			)
																					for i in range(self.__height			):
																											A__					:       str     =[
																											    self.__matrix[i][j] * other.component(lowerCAmelCase_			)
																											    for j in range(self.__width			)
																											]
																											ans.change_component(lowerCAmelCase_		,      sum(lowerCAmelCase_			)			)
																					return ans
															else:
																					raise Exception(
																					    """vector must have the same size as the """
																					    """number of columns of the matrix!"""			)
									elif isinstance(lowerCAmelCase_		,      (int, float)			):  # matrix-scalar
															A__					:       str     =[
															    [self.__matrix[i][j] * other for j in range(self.__width			)]
															    for i in range(self.__height			)
															]
															return Matrix(lowerCAmelCase_		,      self.__width		,      self.__height			)
									return None


			def lowercase__						(				self	:						int			)      ->		int:





									'''simple docstring'''
									return self.__height


			def lowercase__						(				self	:						List[str]			)      ->		int:





									'''simple docstring'''
									return self.__width


			def lowercase__						(				self	:						List[Any]		,      lowerCAmelCase_	:						int		,      lowerCAmelCase_	:						int			)      ->		float:





									'''simple docstring'''
									if 0 <= x < self.__height and 0 <= y < self.__width:
															return self.__matrix[x][y]
									else:
															raise Exception("""change_component: indices out of bounds"""			)


			def lowercase__						(				self	:						Optional[int]		,      lowerCAmelCase_	:						int		,      lowerCAmelCase_	:						int		,      lowerCAmelCase_	:						float			)      ->		None:





									'''simple docstring'''
									if 0 <= x < self.__height and 0 <= y < self.__width:
															A__					:       Optional[Any]     =value
									else:
															raise Exception("""change_component: indices out of bounds"""			)


			def lowercase__						(				self	:						str		,      lowerCAmelCase_	:						int		,      lowerCAmelCase_	:						int			)      ->		float:





									'''simple docstring'''
									if self.__height != self.__width:
															raise Exception("""Matrix is not square"""			)
									A__					:       Union[str, Any]     =self.__matrix[:x] + self.__matrix[x + 1 :]
									for i in range(len(lowerCAmelCase_			)			):
															A__					:       Dict     =minor[i][:y] + minor[i][y + 1 :]
									return Matrix(lowerCAmelCase_		,      self.__width - 1		,      self.__height - 1			).determinant()


			def lowercase__						(				self	:						str		,      lowerCAmelCase_	:						int		,      lowerCAmelCase_	:						int			)      ->		float:





									'''simple docstring'''
									if self.__height != self.__width:
															raise Exception("""Matrix is not square"""			)
									if 0 <= x < self.__height and 0 <= y < self.__width:
															return (-1) ** (x + y) * self.minor(lowerCAmelCase_		,      lowerCAmelCase_			)
									else:
															raise Exception("""Indices out of bounds"""			)



			def lowercase__						(				self	:						Dict			)      ->		float:





									'''simple docstring'''
									if self.__height != self.__width:
															raise Exception("""Matrix is not square"""			)
									if self.__height < 1:
															raise Exception("""Matrix has no element"""			)
									elif self.__height == 1:
															return self.__matrix[0][0]
									elif self.__height == 2:
															return (
															    self.__matrix[0][0] * self.__matrix[1][1]
															    - self.__matrix[0][1] * self.__matrix[1][0]
															)
									else:
															A__					:       str     =[
															    self.__matrix[0][y] * self.cofactor(0		,      lowerCAmelCase_			) for y in range(self.__width			)
															]
															return sum(lowerCAmelCase_			)


def 						__lowerCamelCase	(       __snake_case					:		int	)	->							Matrix:






						"""simple docstring"""





						A__					:       list[list[float]]     =[[0] * n for _ in range(__snake_case	)]
						return Matrix(__snake_case,		__snake_case,		__snake_case	)
def 						__lowerCamelCase	(       __snake_case					:		int,		__snake_case					:		int,		__snake_case					:		int,		__snake_case					:		int	)	->							Matrix:






						"""simple docstring"""





						random.seed(__snake_case	)
						A__					:       list[list[float]]     =[
						    [random.randint(__snake_case,		__snake_case	) for _ in range(__snake_case	)] for _ in range(__snake_case	)
						]
						return Matrix(__snake_case,		__snake_case,		__snake_case	)




'''simple docstring'''



import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_vision_available


if is_vision_available():
		from PIL import Image

		from transformers import CLIPSegProcessor, ViTImageProcessor



@require_vision
class lowerCamelCase			(  unittest.TestCase						):



			'''simple docstring'''






			def lowercase__						(				self	:						Optional[int]			)      ->		int:





									'''simple docstring'''
									A__					:       int     =tempfile.mkdtemp()

									# fmt: off
									A__					:       Optional[int]     =["""l""", """o""", """w""", """e""", """r""", """s""", """t""", """i""", """d""", """n""", """lo""", """l</w>""", """w</w>""", """r</w>""", """t</w>""", """low</w>""", """er</w>""", """lowest</w>""", """newer</w>""", """wider""", """<unk>""", """<|startoftext|>""", """<|endoftext|>"""]
									# fmt: on
									A__					:       List[Any]     =dict(zip(lowerCAmelCase_		,      range(len(lowerCAmelCase_			)			)			)			)
									A__					:       Tuple     =["""#version: 0.2""", """l o""", """lo w</w>""", """e r</w>""", """"""]
									A__					:       int     ={"""unk_token""": """<unk>"""}

									A__					:       Optional[Any]     =os.path.join(self.tmpdirname		,      VOCAB_FILES_NAMES["""vocab_file"""]			)
									A__					:       int     =os.path.join(self.tmpdirname		,      VOCAB_FILES_NAMES["""merges_file"""]			)
									with open(self.vocab_file		,      """w"""		,      encoding="""utf-8"""			) as fp:
															fp.write(json.dumps(lowerCAmelCase_			) + """\n"""			)
									with open(self.merges_file		,      """w"""		,      encoding="""utf-8"""			) as fp:
															fp.write("""\n""".join(lowerCAmelCase_			)			)

									A__					:       Dict     ={
									    """do_resize""": True,
									    """size""": 20,
									    """do_center_crop""": True,
									    """crop_size""": 18,
									    """do_normalize""": True,
									    """image_mean""": [0.48145466, 0.4578275, 0.40821073],
									    """image_std""": [0.26862954, 0.26130258, 0.27577711],
									}
									A__					:       Dict     =os.path.join(self.tmpdirname		,      lowerCAmelCase_			)
									with open(self.image_processor_file		,      """w"""		,      encoding="""utf-8"""			) as fp:
															json.dump(lowerCAmelCase_		,      lowerCAmelCase_			)


			def lowercase__						(				self	:						Optional[Any]		,      **lowerCAmelCase_	:						Union[str, Any]			)      ->		int:





									'''simple docstring'''
									return CLIPTokenizer.from_pretrained(self.tmpdirname		,      **lowerCAmelCase_			)


			def lowercase__						(				self	:						Optional[Any]		,      **lowerCAmelCase_	:						Optional[Any]			)      ->		Optional[Any]:





									'''simple docstring'''
									return CLIPTokenizerFast.from_pretrained(self.tmpdirname		,      **lowerCAmelCase_			)


			def lowercase__						(				self	:						Union[str, Any]		,      **lowerCAmelCase_	:						str			)      ->		Union[str, Any]:





									'''simple docstring'''
									return ViTImageProcessor.from_pretrained(self.tmpdirname		,      **lowerCAmelCase_			)


			def lowercase__						(				self	:						Dict			)      ->		str:





									'''simple docstring'''
									shutil.rmtree(self.tmpdirname			)


			def lowercase__						(				self	:						List[str]			)      ->		Optional[Any]:





									'''simple docstring'''
									A__					:       Dict     =[np.random.randint(2_55		,      size=(3, 30, 4_00)		,      dtype=np.uinta			)]

									A__					:       int     =[Image.fromarray(np.moveaxis(lowerCAmelCase_		,      0		,      -1			)			) for x in image_inputs]

									return image_inputs


			def lowercase__						(				self	:						Dict			)      ->		Optional[Any]:





									'''simple docstring'''
									A__					:       int     =self.get_tokenizer()
									A__					:       Optional[int]     =self.get_rust_tokenizer()
									A__					:       Any     =self.get_image_processor()

									A__					:       int     =CLIPSegProcessor(tokenizer=lowerCAmelCase_		,      image_processor=lowerCAmelCase_			)
									processor_slow.save_pretrained(self.tmpdirname			)
									A__					:       Dict     =CLIPSegProcessor.from_pretrained(self.tmpdirname		,      use_fast=lowerCAmelCase_			)

									A__					:       int     =CLIPSegProcessor(tokenizer=lowerCAmelCase_		,      image_processor=lowerCAmelCase_			)
									processor_fast.save_pretrained(self.tmpdirname			)
									A__					:       Optional[int]     =CLIPSegProcessor.from_pretrained(self.tmpdirname			)

									self.assertEqual(processor_slow.tokenizer.get_vocab()		,      tokenizer_slow.get_vocab()			)
									self.assertEqual(processor_fast.tokenizer.get_vocab()		,      tokenizer_fast.get_vocab()			)
									self.assertEqual(tokenizer_slow.get_vocab()		,      tokenizer_fast.get_vocab()			)
									self.assertIsInstance(processor_slow.tokenizer		,      lowerCAmelCase_			)
									self.assertIsInstance(processor_fast.tokenizer		,      lowerCAmelCase_			)

									self.assertEqual(processor_slow.image_processor.to_json_string()		,      image_processor.to_json_string()			)
									self.assertEqual(processor_fast.image_processor.to_json_string()		,      image_processor.to_json_string()			)
									self.assertIsInstance(processor_slow.image_processor		,      lowerCAmelCase_			)
									self.assertIsInstance(processor_fast.image_processor		,      lowerCAmelCase_			)


			def lowercase__						(				self	:						str			)      ->		List[str]:





									'''simple docstring'''
									A__					:       List[str]     =CLIPSegProcessor(tokenizer=self.get_tokenizer()		,      image_processor=self.get_image_processor()			)
									processor.save_pretrained(self.tmpdirname			)

									A__					:       List[Any]     =self.get_tokenizer(bos_token="""(BOS)"""		,      eos_token="""(EOS)"""			)
									A__					:       Union[str, Any]     =self.get_image_processor(do_normalize=lowerCAmelCase_		,      padding_value=1.0			)

									A__					:       Optional[int]     =CLIPSegProcessor.from_pretrained(
									    self.tmpdirname		,      bos_token="""(BOS)"""		,      eos_token="""(EOS)"""		,      do_normalize=lowerCAmelCase_		,      padding_value=1.0			)

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

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


			def lowercase__						(				self	:						str			)      ->		str:





									'''simple docstring'''
									A__					:       Optional[Any]     =self.get_image_processor()
									A__					:       int     =self.get_tokenizer()

									A__					:       Optional[int]     =CLIPSegProcessor(tokenizer=lowerCAmelCase_		,      image_processor=lowerCAmelCase_			)

									A__					:       Dict     =self.prepare_image_inputs()

									A__					:       List[Any]     =image_processor(lowerCAmelCase_		,      return_tensors="""np"""			)
									A__					:       List[Any]     =processor(images=lowerCAmelCase_		,      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 lowercase__						(				self	:						Optional[int]			)      ->		Optional[int]:





									'''simple docstring'''
									A__					:       Any     =self.get_image_processor()
									A__					:       Optional[Any]     =self.get_tokenizer()

									A__					:       int     =CLIPSegProcessor(tokenizer=lowerCAmelCase_		,      image_processor=lowerCAmelCase_			)

									A__					:       Any     ="""lower newer"""

									A__					:       Optional[int]     =processor(text=lowerCAmelCase_			)

									A__					:       Optional[int]     =tokenizer(lowerCAmelCase_			)

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


			def lowercase__						(				self	:						List[Any]			)      ->		List[str]:





									'''simple docstring'''
									A__					:       Any     =self.get_image_processor()
									A__					:       Optional[Any]     =self.get_tokenizer()

									A__					:       Union[str, Any]     =CLIPSegProcessor(tokenizer=lowerCAmelCase_		,      image_processor=lowerCAmelCase_			)

									A__					:       Optional[Any]     ="""lower newer"""
									A__					:       List[str]     =self.prepare_image_inputs()

									A__					:       Optional[Any]     =processor(text=lowerCAmelCase_		,      images=lowerCAmelCase_			)

									self.assertListEqual(list(inputs.keys()			)		,      ["""input_ids""", """attention_mask""", """pixel_values"""]			)

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


			def lowercase__						(				self	:						Any			)      ->		Optional[Any]:





									'''simple docstring'''
									A__					:       Optional[Any]     =self.get_image_processor()
									A__					:       List[str]     =self.get_tokenizer()

									A__					:       Optional[int]     =CLIPSegProcessor(tokenizer=lowerCAmelCase_		,      image_processor=lowerCAmelCase_			)

									A__					:       Tuple     =self.prepare_image_inputs()
									A__					:       str     =self.prepare_image_inputs()

									A__					:       int     =processor(images=lowerCAmelCase_		,      visual_prompt=lowerCAmelCase_			)

									self.assertListEqual(list(inputs.keys()			)		,      ["""pixel_values""", """conditional_pixel_values"""]			)

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



			def lowercase__						(				self	:						Optional[Any]			)      ->		str:





									'''simple docstring'''
									A__					:       List[str]     =self.get_image_processor()
									A__					:       Optional[int]     =self.get_tokenizer()

									A__					:       Any     =CLIPSegProcessor(tokenizer=lowerCAmelCase_		,      image_processor=lowerCAmelCase_			)

									A__					:       List[Any]     =[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

									A__					:       Tuple     =processor.batch_decode(lowerCAmelCase_			)
									A__					:       List[Any]     =tokenizer.batch_decode(lowerCAmelCase_			)

									self.assertListEqual(lowerCAmelCase_		,      lowerCAmelCase_			)

