
"""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       lowerCAmelCase__				(						unittest.TestCase	):







     def      lowercase	(							self			:			List[Any]			):
       _snake_case					     =       tempfile.mkdtemp()

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

       _snake_case					     =       os.path.join(self.tmpdirname    ,      VOCAB_FILES_NAMES['''vocab_file''']			)
       _snake_case					     =       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			)			)

       _snake_case					     =       {
           '''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],
       }
       _snake_case					     =       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			:			List[Any]    ,      **_lowerCamelCase			:			Tuple			):
       return CLIPTokenizer.from_pretrained(self.tmpdirname    ,      pad_token='''!'''    ,      **_lowerCamelCase			)







     def      lowercase	(							self			:			Dict    ,      **_lowerCamelCase			:			Any			):
       return CLIPTokenizerFast.from_pretrained(self.tmpdirname    ,      pad_token='''!'''    ,      **_lowerCamelCase			)







     def      lowercase	(							self			:			List[Any]    ,      **_lowerCamelCase			:			Dict			):
       return OwlViTImageProcessor.from_pretrained(self.tmpdirname    ,      **_lowerCamelCase			)







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







     def      lowercase	(							self			:			List[str]			):
       _snake_case					     =       [np.random.randint(255    ,      size=(3, 30, 400)    ,      dtype=np.uinta			)]

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

       return image_inputs







     def      lowercase	(							self			:			List[Any]			):
       _snake_case					     =       self.get_tokenizer()
       _snake_case					     =       self.get_rust_tokenizer()
       _snake_case					     =       self.get_image_processor()

       _snake_case					     =       OwlViTProcessor(tokenizer=_lowerCamelCase    ,      image_processor=_lowerCamelCase			)
       processor_slow.save_pretrained(self.tmpdirname			)
       _snake_case					     =       OwlViTProcessor.from_pretrained(self.tmpdirname    ,      use_fast=_lowerCamelCase			)

       _snake_case					     =       OwlViTProcessor(tokenizer=_lowerCamelCase    ,      image_processor=_lowerCamelCase			)
       processor_fast.save_pretrained(self.tmpdirname			)
       _snake_case					     =       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    ,      _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			:			Optional[int]			):
       _snake_case					     =       OwlViTProcessor(tokenizer=self.get_tokenizer()    ,      image_processor=self.get_image_processor()			)
       processor.save_pretrained(self.tmpdirname			)

       _snake_case					     =       self.get_tokenizer(bos_token='''(BOS)'''    ,      eos_token='''(EOS)'''			)
       _snake_case					     =       self.get_image_processor(do_normalize=_lowerCamelCase			)

       _snake_case					     =       OwlViTProcessor.from_pretrained(
           self.tmpdirname    ,      bos_token='''(BOS)'''    ,      eos_token='''(EOS)'''    ,      do_normalize=_lowerCamelCase			)

       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			:			Tuple			):
       _snake_case					     =       self.get_image_processor()
       _snake_case					     =       self.get_tokenizer()

       _snake_case					     =       OwlViTProcessor(tokenizer=_lowerCamelCase    ,      image_processor=_lowerCamelCase			)

       _snake_case					     =       self.prepare_image_inputs()

       _snake_case					     =       image_processor(_lowerCamelCase    ,      return_tensors='''np'''			)
       _snake_case					     =       processor(images=_lowerCamelCase    ,      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      lowercase	(							self			:			Tuple			):
       _snake_case					     =       self.get_image_processor()
       _snake_case					     =       self.get_tokenizer()

       _snake_case					     =       OwlViTProcessor(tokenizer=_lowerCamelCase    ,      image_processor=_lowerCamelCase			)

       _snake_case					     =       '''lower newer'''

       _snake_case					     =       processor(text=_lowerCamelCase    ,      return_tensors='''np'''			)

       _snake_case					     =       tokenizer(_lowerCamelCase    ,      return_tensors='''np'''			)

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







     def      lowercase	(							self			:			Optional[int]			):
       _snake_case					     =       self.get_image_processor()
       _snake_case					     =       self.get_tokenizer()

       _snake_case					     =       OwlViTProcessor(tokenizer=_lowerCamelCase    ,      image_processor=_lowerCamelCase			)

       _snake_case					     =       '''lower newer'''
       _snake_case					     =       self.prepare_image_inputs()

       _snake_case					     =       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			:			Dict			):
       _snake_case					     =       '''google/owlvit-base-patch32'''
       _snake_case					     =       OwlViTProcessor.from_pretrained(_lowerCamelCase			)

       _snake_case					     =       ['''cat''', '''nasa badge''']
       _snake_case					     =       processor(text=_lowerCamelCase			)

       _snake_case					     =       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(_lowerCamelCase			):
         processor()







     def      lowercase	(							self			:			Any			):
       _snake_case					     =       '''google/owlvit-base-patch32'''
       _snake_case					     =       OwlViTProcessor.from_pretrained(_lowerCamelCase			)

       _snake_case					     =       [['''cat''', '''nasa badge'''], ['''person''']]
       _snake_case					     =       processor(text=_lowerCamelCase			)

       _snake_case					     =       16
       _snake_case					     =       len(_lowerCamelCase			)
       _snake_case					     =       max([len(_lowerCamelCase			) 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(_lowerCamelCase			):
         processor()







     def      lowercase	(							self			:			Any			):
       _snake_case					     =       '''google/owlvit-base-patch32'''
       _snake_case					     =       OwlViTProcessor.from_pretrained(_lowerCamelCase			)

       _snake_case					     =       ['''cat''', '''nasa badge''']
       _snake_case					     =       processor(text=_lowerCamelCase			)

       _snake_case					     =       16
       _snake_case					     =       inputs['''input_ids''']
       _snake_case					     =       [
           [49406, 2368, 49407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
           [49406, 6841, 11301, 49407, 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      lowercase	(							self			:			List[Any]			):
       _snake_case					     =       self.get_image_processor()
       _snake_case					     =       self.get_tokenizer()

       _snake_case					     =       OwlViTProcessor(tokenizer=_lowerCamelCase    ,      image_processor=_lowerCamelCase			)

       _snake_case					     =       self.prepare_image_inputs()
       _snake_case					     =       self.prepare_image_inputs()

       _snake_case					     =       processor(images=_lowerCamelCase    ,      query_images=_lowerCamelCase			)

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

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







     def      lowercase	(							self			:			Any			):
       _snake_case					     =       self.get_image_processor()
       _snake_case					     =       self.get_tokenizer()

       _snake_case					     =       OwlViTProcessor(tokenizer=_lowerCamelCase    ,      image_processor=_lowerCamelCase			)

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

       _snake_case					     =       processor.batch_decode(_lowerCamelCase			)
       _snake_case					     =       tokenizer.batch_decode(_lowerCamelCase			)

       self.assertListEqual(_lowerCamelCase    ,      _lowerCamelCase			)





"""simple docstring"""



import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


UpperCAmelCase__          = 'http://www.mocksite.com/file1.txt'
UpperCAmelCase__          = '"text": ["foo", "foo"]'
UpperCAmelCase__          = '6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8'

class       lowerCAmelCase__				:
     __a						=					200
     __a						=					{"""Content-Length""": """100"""}
     __a						=					{}







     def      lowercase	(							self			:			List[str]    ,      **_lowerCamelCase			:			List[str]			):
       return [bytes(_lowerCamelCase    ,      '''utf-8'''			)]






def 					_UpperCAmelCase      ( *__lowerCamelCase   :       List[str] ,					**__lowerCamelCase   :       Dict		)     ->					Dict:
  return MockResponse()
@pytest.mark.parametrize('''urls_type''' ,					[str, list, dict]		)
def 					_UpperCAmelCase      ( __lowerCamelCase   :       Union[str, Any] ,					__lowerCamelCase   :       List[str] ,					__lowerCamelCase   :       str		)     ->					int:
  import requests

  monkeypatch.setattr(__lowerCamelCase ,					'''request''' ,					__lowerCamelCase		)

  _snake_case					     =       URL
  if issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       url
  elif issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       [url]
  elif issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       {'''train''': url}
  _snake_case					     =       '''dummy'''
  _snake_case					     =       '''downloads'''
  _snake_case					     =       tmp_path
  _snake_case					     =       DownloadConfig(
      cache_dir=os.path.join(__lowerCamelCase ,					__lowerCamelCase		) ,					use_etag=__lowerCamelCase ,					)
  _snake_case					     =       DownloadManager(dataset_name=__lowerCamelCase ,					download_config=__lowerCamelCase		)
  _snake_case					     =       dl_manager.download(__lowerCamelCase		)
  _snake_case					     =       urls
  for downloaded_paths in [downloaded_paths]:
    if isinstance(__lowerCamelCase ,					__lowerCamelCase		):
      _snake_case					     =       [downloaded_paths]
      _snake_case					     =       [urls]
    elif isinstance(__lowerCamelCase ,					__lowerCamelCase		):
      assert "train" in downloaded_paths.keys()
      _snake_case					     =       downloaded_paths.values()
      _snake_case					     =       urls.values()
    assert downloaded_paths
    for downloaded_path, input_url in zip(__lowerCamelCase ,					__lowerCamelCase		):
      assert downloaded_path == dl_manager.downloaded_paths[input_url]
      _snake_case					     =       Path(__lowerCamelCase		)
      _snake_case					     =       downloaded_path.parts
      assert parts[-1] == HASH
      assert parts[-2] == cache_subdir
      assert downloaded_path.exists()
      _snake_case					     =       downloaded_path.read_text()
      assert content == CONTENT
      _snake_case					     =       downloaded_path.with_suffix('''.json'''		)
      assert metadata_downloaded_path.exists()
      _snake_case					     =       json.loads(metadata_downloaded_path.read_text()		)
      assert metadata_content == {"url": URL, "etag": None}
@pytest.mark.parametrize('''paths_type''' ,					[str, list, dict]		)
def 					_UpperCAmelCase      ( __lowerCamelCase   :       int ,					__lowerCamelCase   :       str ,					__lowerCamelCase   :       Optional[int]		)     ->					int:
  _snake_case					     =       str(__lowerCamelCase		)
  if issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       filename
  elif issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       [filename]
  elif issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       {'''train''': filename}
  _snake_case					     =       '''dummy'''
  _snake_case					     =       xz_file.parent
  _snake_case					     =       '''extracted'''
  _snake_case					     =       DownloadConfig(
      cache_dir=__lowerCamelCase ,					use_etag=__lowerCamelCase ,					)
  _snake_case					     =       DownloadManager(dataset_name=__lowerCamelCase ,					download_config=__lowerCamelCase		)
  _snake_case					     =       dl_manager.extract(__lowerCamelCase		)
  _snake_case					     =       paths
  for extracted_paths in [extracted_paths]:
    if isinstance(__lowerCamelCase ,					__lowerCamelCase		):
      _snake_case					     =       [extracted_paths]
      _snake_case					     =       [paths]
    elif isinstance(__lowerCamelCase ,					__lowerCamelCase		):
      assert "train" in extracted_paths.keys()
      _snake_case					     =       extracted_paths.values()
      _snake_case					     =       paths.values()
    assert extracted_paths
    for extracted_path, input_path in zip(__lowerCamelCase ,					__lowerCamelCase		):
      assert extracted_path == dl_manager.extracted_paths[input_path]
      _snake_case					     =       Path(__lowerCamelCase		)
      _snake_case					     =       extracted_path.parts
      assert parts[-1] == hash_url_to_filename(__lowerCamelCase ,					etag=__lowerCamelCase		)
      assert parts[-2] == extracted_subdir
      assert extracted_path.exists()
      _snake_case					     =       extracted_path.read_text()
      _snake_case					     =       text_file.read_text()
      assert extracted_file_content == expected_file_content
def 					_UpperCAmelCase      ( __lowerCamelCase   :       Tuple ,					__lowerCamelCase   :       List[Any]		)     ->					Dict:
  assert path.endswith('''.jsonl'''		)
  for num_items, line in enumerate(__lowerCamelCase ,					start=1		):
    _snake_case					     =       json.loads(line.decode('''utf-8'''		)		)
    assert item.keys() == {"col_1", "col_2", "col_3"}
  assert num_items == 4
@pytest.mark.parametrize('''archive_jsonl''' ,					['''tar_jsonl_path''', '''zip_jsonl_path''']		)
def 					_UpperCAmelCase      ( __lowerCamelCase   :       Dict ,					__lowerCamelCase   :       str		)     ->					Dict:
  _snake_case					     =       request.getfixturevalue(__lowerCamelCase		)
  _snake_case					     =       DownloadManager()
  for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(__lowerCamelCase		) ,					start=1		):
    _test_jsonl(__lowerCamelCase ,					__lowerCamelCase		)
  assert num_jsonl == 2
@pytest.mark.parametrize('''archive_nested_jsonl''' ,					['''tar_nested_jsonl_path''', '''zip_nested_jsonl_path''']		)
def 					_UpperCAmelCase      ( __lowerCamelCase   :       str ,					__lowerCamelCase   :       List[Any]		)     ->					Tuple:
  _snake_case					     =       request.getfixturevalue(__lowerCamelCase		)
  _snake_case					     =       DownloadManager()
  for num_tar, (path, file) in enumerate(dl_manager.iter_archive(__lowerCamelCase		) ,					start=1		):
    for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(__lowerCamelCase		) ,					start=1		):
      _test_jsonl(__lowerCamelCase ,					__lowerCamelCase		)
  assert num_tar == 1
  assert num_jsonl == 2

def 					_UpperCAmelCase      ( __lowerCamelCase   :       Tuple		)     ->					List[Any]:
  _snake_case					     =       DownloadManager()
  for num_file, file in enumerate(dl_manager.iter_files(__lowerCamelCase		) ,					start=1		):
    assert os.path.basename(__lowerCamelCase		) == ("test.txt" if num_file == 1 else "train.txt")
  assert num_file == 2



