


"""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 OwlViTImageProcessor, OwlViTProcessor
@require_vision
class     _UpperCamelCase    (  unittest.TestCase						):
							'''simple docstring'''







							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     tempfile.mkdtemp()

										# fmt: off
										__lowerCAmelCase							       =     ["", "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
										__lowerCAmelCase							       =     dict(zip(__a       ,  range(len(__a      )      )      )      )
										__lowerCAmelCase							       =     ["#version: 0.2", "l o", "lo w</w>", "e r</w>", ""]
										__lowerCAmelCase							       =     {"unk_token": "<unk>"}

										__lowerCAmelCase							       =     os.path.join(self.tmpdirname       ,  VOCAB_FILES_NAMES["vocab_file"]      )
										__lowerCAmelCase							       =     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(__a      ) + "\n"      )
										with open(self.merges_file       ,  "w"       ,  encoding="utf-8"      ) as fp:
													fp.write("\n".join(__a      )      )

										__lowerCAmelCase							       =     {
										    "do_resize": True,
										    "size": 20,
										    "do_center_crop": True,
										    "crop_size": 18,
										    "do_normalize": True,
										    "image_mean": [0.4_8_1_4_5_4_6_6, 0.4_5_7_8_2_7_5, 0.4_0_8_2_1_0_7_3],
										    "image_std": [0.2_6_8_6_2_9_5_4, 0.2_6_1_3_0_2_5_8, 0.2_7_5_7_7_7_1_1],
										}
										__lowerCAmelCase							       =     os.path.join(self.tmpdirname       ,  __a      )
										with open(self.image_processor_file       ,  "w"       ,  encoding="utf-8"      ) as fp:
													json.dump(__a       ,  __a      )

							def      snake_case							(	self       ,  **__a      ):
										return CLIPTokenizer.from_pretrained(self.tmpdirname       ,  pad_token="!"       ,  **__a      )

							def      snake_case							(	self       ,  **__a      ):
										return CLIPTokenizerFast.from_pretrained(self.tmpdirname       ,  pad_token="!"       ,  **__a      )

							def      snake_case							(	self       ,  **__a      ):
										return OwlViTImageProcessor.from_pretrained(self.tmpdirname       ,  **__a      )

							def      snake_case							(	self      ):
										shutil.rmtree(self.tmpdirname      )

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     [np.random.randint(2_55       ,  size=(3, 30, 4_00)       ,  dtype=np.uinta      )]

										__lowerCAmelCase							       =     [Image.fromarray(np.moveaxis(__a       ,  0       ,  -1      )      ) for x in image_inputs]

										return image_inputs

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     self.get_tokenizer()
										__lowerCAmelCase							       =     self.get_rust_tokenizer()
										__lowerCAmelCase							       =     self.get_image_processor()

										__lowerCAmelCase							       =     OwlViTProcessor(tokenizer=__a       ,  image_processor=__a      )
										processor_slow.save_pretrained(self.tmpdirname      )
										__lowerCAmelCase							       =     OwlViTProcessor.from_pretrained(self.tmpdirname       ,  use_fast=__a      )

										__lowerCAmelCase							       =     OwlViTProcessor(tokenizer=__a       ,  image_processor=__a      )
										processor_fast.save_pretrained(self.tmpdirname      )
										__lowerCAmelCase							       =     OwlViTProcessor.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       ,  __a      )
										self.assertIsInstance(processor_fast.tokenizer       ,  __a      )

										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       ,  __a      )
										self.assertIsInstance(processor_fast.image_processor       ,  __a      )

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     OwlViTProcessor(tokenizer=self.get_tokenizer()       ,  image_processor=self.get_image_processor()      )
										processor.save_pretrained(self.tmpdirname      )

										__lowerCAmelCase							       =     self.get_tokenizer(bos_token="(BOS)"       ,  eos_token="(EOS)"      )
										__lowerCAmelCase							       =     self.get_image_processor(do_normalize=__a      )

										__lowerCAmelCase							       =     OwlViTProcessor.from_pretrained(
										    self.tmpdirname       ,  bos_token="(BOS)"       ,  eos_token="(EOS)"       ,  do_normalize=__a      )

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

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

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     self.get_image_processor()
										__lowerCAmelCase							       =     self.get_tokenizer()

										__lowerCAmelCase							       =     OwlViTProcessor(tokenizer=__a       ,  image_processor=__a      )

										__lowerCAmelCase							       =     self.prepare_image_inputs()

										__lowerCAmelCase							       =     image_processor(__a       ,  return_tensors="np"      )
										__lowerCAmelCase							       =     processor(images=__a       ,  return_tensors="np"      )

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

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     self.get_image_processor()
										__lowerCAmelCase							       =     self.get_tokenizer()

										__lowerCAmelCase							       =     OwlViTProcessor(tokenizer=__a       ,  image_processor=__a      )

										__lowerCAmelCase							       =     "lower newer"

										__lowerCAmelCase							       =     processor(text=__a       ,  return_tensors="np"      )

										__lowerCAmelCase							       =     tokenizer(__a       ,  return_tensors="np"      )

										for key in encoded_tok.keys():
													self.assertListEqual(encoded_tok[key][0].tolist()       ,  encoded_processor[key][0].tolist()      )

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     self.get_image_processor()
										__lowerCAmelCase							       =     self.get_tokenizer()

										__lowerCAmelCase							       =     OwlViTProcessor(tokenizer=__a       ,  image_processor=__a      )

										__lowerCAmelCase							       =     "lower newer"
										__lowerCAmelCase							       =     self.prepare_image_inputs()

										__lowerCAmelCase							       =     processor(text=__a       ,  images=__a      )

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

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

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     "google/owlvit-base-patch32"
										__lowerCAmelCase							       =     OwlViTProcessor.from_pretrained(__a      )

										__lowerCAmelCase							       =     ["cat", "nasa badge"]
										__lowerCAmelCase							       =     processor(text=__a      )

										__lowerCAmelCase							       =     16
										self.assertListEqual(list(inputs.keys()      )       ,  ["input_ids", "attention_mask"]      )
										self.assertEqual(inputs["input_ids"].shape       ,  (2, seq_length)      )

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

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     "google/owlvit-base-patch32"
										__lowerCAmelCase							       =     OwlViTProcessor.from_pretrained(__a      )

										__lowerCAmelCase							       =     [["cat", "nasa badge"], ["person"]]
										__lowerCAmelCase							       =     processor(text=__a      )

										__lowerCAmelCase							       =     16
										__lowerCAmelCase							       =     len(__a      )
										__lowerCAmelCase							       =     max([len(__a      ) for texts in input_texts]      )

										self.assertListEqual(list(inputs.keys()      )       ,  ["input_ids", "attention_mask"]      )
										self.assertEqual(inputs["input_ids"].shape       ,  (batch_size * num_max_text_queries, seq_length)      )

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

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     "google/owlvit-base-patch32"
										__lowerCAmelCase							       =     OwlViTProcessor.from_pretrained(__a      )

										__lowerCAmelCase							       =     ["cat", "nasa badge"]
										__lowerCAmelCase							       =     processor(text=__a      )

										__lowerCAmelCase							       =     16
										__lowerCAmelCase							       =     inputs["input_ids"]
										__lowerCAmelCase							       =     [
										    [4_94_06, 23_68, 4_94_07, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
										    [4_94_06, 68_41, 1_13_01, 4_94_07, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
										]

										self.assertListEqual(list(inputs.keys()      )       ,  ["input_ids", "attention_mask"]      )
										self.assertEqual(inputs["input_ids"].shape       ,  (2, seq_length)      )
										self.assertListEqual(list(input_ids[0]      )       ,  predicted_ids[0]      )
										self.assertListEqual(list(input_ids[1]      )       ,  predicted_ids[1]      )

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     self.get_image_processor()
										__lowerCAmelCase							       =     self.get_tokenizer()

										__lowerCAmelCase							       =     OwlViTProcessor(tokenizer=__a       ,  image_processor=__a      )

										__lowerCAmelCase							       =     self.prepare_image_inputs()
										__lowerCAmelCase							       =     self.prepare_image_inputs()

										__lowerCAmelCase							       =     processor(images=__a       ,  query_images=__a      )

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

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



							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     self.get_image_processor()
										__lowerCAmelCase							       =     self.get_tokenizer()

										__lowerCAmelCase							       =     OwlViTProcessor(tokenizer=__a       ,  image_processor=__a      )

										__lowerCAmelCase							       =     [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

										__lowerCAmelCase							       =     processor.batch_decode(__a      )
										__lowerCAmelCase							       =     tokenizer.batch_decode(__a      )

										self.assertListEqual(__a       ,  __a      )








'''simple docstring'''


import unittest

import numpy as np


def 		_lowercase (SCREAMING_SNAKE_CASE       ,					SCREAMING_SNAKE_CASE       ,					SCREAMING_SNAKE_CASE       ,					SCREAMING_SNAKE_CASE = None       ,					):




     '''simple docstring'''





     __A	:       List[Any]      =							np.shape(SCREAMING_SNAKE_CASE							)
     __A	:       List[str]      =							np.shape(SCREAMING_SNAKE_CASE							)
     __A	:       Dict      =							np.shape(SCREAMING_SNAKE_CASE							)

     if shape_a[0] != shape_b[0]:
          __A	:       Tuple      =							(
              "Expected the same number of rows for A and B. "
              f"Instead found A of size {shape_a} and B of size {shape_b}"
          )
          raise ValueError(SCREAMING_SNAKE_CASE							)

     if shape_b[1] != shape_c[1]:
          __A	:       Optional[Any]      =							(
              "Expected the same number of columns for B and C. "
              f"Instead found B of size {shape_b} and C of size {shape_c}"
          )
          raise ValueError(SCREAMING_SNAKE_CASE							)

     __A	:       Tuple      =							pseudo_inv
     if a_inv is None:
          try:
               __A	:       Optional[Any]      =							np.linalg.inv(SCREAMING_SNAKE_CASE							)
          except np.linalg.LinAlgError:
               raise ValueError(
                   "Input matrix A is not invertible. Cannot compute Schur complement."							)

     return mat_c - mat_b.T @ a_inv @ mat_b







class 							__magic_name__	(       unittest.TestCase ):

     """simple docstring"""






     def lowerCAmelCase__  (   self		):


          '''simple docstring'''





          __A	:       Any      =							np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]		)
          __A	:       Tuple      =							np.array([[0, 3], [3, 0], [2, 3]]		)
          __A	:       Tuple      =							np.array([[2, 1], [6, 3]]		)

          __A	:       Optional[Any]      =							schur_complement(lowerCamelCase			,     lowerCamelCase			,     lowerCamelCase		)

          __A	:       int      =							np.block([[a, b], [b.T, c]]		)

          __A	:       int      =							np.linalg.det(lowerCamelCase		)
          __A	:       List[str]      =							np.linalg.det(lowerCamelCase		)
          __A	:       Any      =							np.linalg.det(lowerCamelCase		)

          self.assertAlmostEqual(lowerCamelCase			,     det_a * det_s		)


     def lowerCAmelCase__  (   self		):


          '''simple docstring'''





          __A	:       Optional[int]      =							np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]		)
          __A	:       List[Any]      =							np.array([[0, 3], [3, 0], [2, 3]]		)
          __A	:       List[str]      =							np.array([[2, 1], [6, 3]]		)

          with self.assertRaises(lowerCamelCase		):
               schur_complement(lowerCamelCase			,     lowerCamelCase			,     lowerCamelCase		)


     def lowerCAmelCase__  (   self		):


          '''simple docstring'''





          __A	:       Any      =							np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]		)
          __A	:       Union[str, Any]      =							np.array([[0, 3], [3, 0], [2, 3]]		)
          __A	:       Optional[Any]      =							np.array([[2, 1, 3], [6, 3, 5]]		)

          with self.assertRaises(lowerCamelCase		):
               schur_complement(lowerCamelCase			,     lowerCamelCase			,     lowerCamelCase		)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      unittest.main()

