




"""simple docstring"""
from cva import destroyAllWindows, imread, imshow, waitKey





def 						UpperCAmelCase				(			A__:    Tuple     )  ->     Union[str, Any]:
			# getting number of pixels in the image
			__lowerCamelCase					:	Optional[Any]	       =				img.shape[0], img.shape[1]

			# converting each pixel's color to its negative
			for i in range(A__     ):
						for j in range(A__     ):
									__lowerCamelCase					:	Optional[Any]	       =				[255, 255, 255] - img[i][j]

			return img


if __name__ == "__main__":
						# read original image
						a_				:    Dict										=     imread('''image_data/lena.jpg''', 1)

						# convert to its negative
						a_				:    str										=     convert_to_negative(img)

						# show result image
						imshow('''negative of original image''', img)
						waitKey(0)
						destroyAllWindows()









"""simple docstring"""
import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import AutoConfig, BertConfig, GPTaConfig
from transformers.configuration_utils import PretrainedConfig
from transformers.testing_utils import TOKEN, USER, is_staging_test


sys.path.append(str(Path(__file__).parent.parent / '''utils'''))

from test_module.custom_configuration import CustomConfig  # noqa E402


a_				:    Optional[int]										=     {
    '''return_dict''': False,
    '''output_hidden_states''': True,
    '''output_attentions''': True,
    '''torchscript''': True,
    '''torch_dtype''': '''float16''',
    '''use_bfloat16''': True,
    '''tf_legacy_loss''': True,
    '''pruned_heads''': {'''a''': 1},
    '''tie_word_embeddings''': False,
    '''is_decoder''': True,
    '''cross_attention_hidden_size''': 1_28,
    '''add_cross_attention''': True,
    '''tie_encoder_decoder''': True,
    '''max_length''': 50,
    '''min_length''': 3,
    '''do_sample''': True,
    '''early_stopping''': True,
    '''num_beams''': 3,
    '''num_beam_groups''': 3,
    '''diversity_penalty''': 0.5,
    '''temperature''': 2.0,
    '''top_k''': 10,
    '''top_p''': 0.7,
    '''typical_p''': 0.2,
    '''repetition_penalty''': 0.8,
    '''length_penalty''': 0.8,
    '''no_repeat_ngram_size''': 5,
    '''encoder_no_repeat_ngram_size''': 5,
    '''bad_words_ids''': [1, 2, 3],
    '''num_return_sequences''': 3,
    '''chunk_size_feed_forward''': 5,
    '''output_scores''': True,
    '''return_dict_in_generate''': True,
    '''forced_bos_token_id''': 2,
    '''forced_eos_token_id''': 3,
    '''remove_invalid_values''': True,
    '''architectures''': ['''BertModel'''],
    '''finetuning_task''': '''translation''',
    '''id2label''': {0: '''label'''},
    '''label2id''': {'''label''': '''0'''},
    '''tokenizer_class''': '''BertTokenizerFast''',
    '''prefix''': '''prefix''',
    '''bos_token_id''': 6,
    '''pad_token_id''': 7,
    '''eos_token_id''': 8,
    '''sep_token_id''': 9,
    '''decoder_start_token_id''': 10,
    '''exponential_decay_length_penalty''': (5, 1.0_1),
    '''suppress_tokens''': [0, 1],
    '''begin_suppress_tokens''': 2,
    '''task_specific_params''': {'''translation''': '''some_params'''},
    '''problem_type''': '''regression''',
}

@is_staging_test
class __lowercase(      unittest.TestCase				):




					'''simple docstring'''


					@classmethod
					def     snake_case_				(    cls     ):
								__lowerCamelCase					:	Tuple	       =				TOKEN
								HfFolder.save_token(__a     )
					@classmethod
					def     snake_case_				(    cls     ):
								try:
											delete_repo(token=cls._token						,	repo_id='test-config'     )
								except HTTPError:
											pass

								try:
											delete_repo(token=cls._token						,	repo_id='valid_org/test-config-org'     )
								except HTTPError:
											pass

								try:
											delete_repo(token=cls._token						,	repo_id='test-dynamic-config'     )
								except HTTPError:
											pass
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	List[str]	       =				BertConfig(
								    vocab_size=99						,	hidden_size=32						,	num_hidden_layers=5						,	num_attention_heads=4						,	intermediate_size=37     )
								config.push_to_hub('test-config'						,	use_auth_token=self._token     )

								__lowerCamelCase					:	Any	       =				BertConfig.from_pretrained(f'''{USER}/test-config'''     )
								for k, v in config.to_dict().items():
											if k != "transformers_version":
														self.assertEqual(__a						,	getattr(__a						,	__a     )     )

        # Reset repo
								delete_repo(token=self._token						,	repo_id='test-config'     )

								# Push to hub via save_pretrained
								with tempfile.TemporaryDirectory() as tmp_dir:
											config.save_pretrained(__a						,	repo_id='test-config'						,	push_to_hub=__a						,	use_auth_token=self._token     )

								__lowerCamelCase					:	Any	       =				BertConfig.from_pretrained(f'''{USER}/test-config'''     )
								for k, v in config.to_dict().items():
											if k != "transformers_version":
														self.assertEqual(__a						,	getattr(__a						,	__a     )     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	int	       =				BertConfig(
								    vocab_size=99						,	hidden_size=32						,	num_hidden_layers=5						,	num_attention_heads=4						,	intermediate_size=37     )
								config.push_to_hub('valid_org/test-config-org'						,	use_auth_token=self._token     )

								__lowerCamelCase					:	Tuple	       =				BertConfig.from_pretrained('valid_org/test-config-org'     )
								for k, v in config.to_dict().items():
											if k != "transformers_version":
														self.assertEqual(__a						,	getattr(__a						,	__a     )     )

        # Reset repo
								delete_repo(token=self._token						,	repo_id='valid_org/test-config-org'     )

								# Push to hub via save_pretrained
								with tempfile.TemporaryDirectory() as tmp_dir:
											config.save_pretrained(
											    __a						,	repo_id='valid_org/test-config-org'						,	push_to_hub=__a						,	use_auth_token=self._token     )

								__lowerCamelCase					:	Tuple	       =				BertConfig.from_pretrained('valid_org/test-config-org'     )
								for k, v in config.to_dict().items():
											if k != "transformers_version":
														self.assertEqual(__a						,	getattr(__a						,	__a     )     )





					def     snake_case_				(    self     ):
								CustomConfig.register_for_auto_class()
								__lowerCamelCase					:	Optional[Any]	       =				CustomConfig(attribute=42     )

								config.push_to_hub('test-dynamic-config'						,	use_auth_token=self._token     )

								# This has added the proper auto_map field to the config
								self.assertDictEqual(config.auto_map						,	{'AutoConfig': 'custom_configuration.CustomConfig'}     )

								__lowerCamelCase					:	Tuple	       =				AutoConfig.from_pretrained(f'''{USER}/test-dynamic-config'''						,	trust_remote_code=__a     )
								# Can't make an isinstance check because the new_config is from the FakeConfig class of a dynamic module
								self.assertEqual(new_config.__class__.__name__						,	'CustomConfig'     )
								self.assertEqual(new_config.attribute						,	42     )



class __lowercase(      unittest.TestCase				):




					'''simple docstring'''


					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Tuple	       =				GPTaConfig()

								# attempt to modify each of int/float/bool/str config records and verify they were updated
								__lowerCamelCase					:	List[str]	       =				c.n_embd + 1  # int
								__lowerCamelCase					:	Dict	       =				c.resid_pdrop + 1.0  # float
								__lowerCamelCase					:	int	       =				not c.scale_attn_weights  # bool
								__lowerCamelCase					:	Optional[int]	       =				c.summary_type + 'foo'  # str
								c.update_from_string(
								    f'''n_embd={n_embd},resid_pdrop={resid_pdrop},scale_attn_weights={scale_attn_weights},summary_type={summary_type}'''     )
								self.assertEqual(__a						,	c.n_embd						,	'mismatch for key: n_embd'     )
								self.assertEqual(__a						,	c.resid_pdrop						,	'mismatch for key: resid_pdrop'     )
								self.assertEqual(__a						,	c.scale_attn_weights						,	'mismatch for key: scale_attn_weights'     )
								self.assertEqual(__a						,	c.summary_type						,	'mismatch for key: summary_type'     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Tuple	       =				PretrainedConfig()
								__lowerCamelCase					:	Dict	       =				[key for key in base_config.__dict__ if key not in config_common_kwargs]
								# If this part of the test fails, you have arguments to addin config_common_kwargs above.
								self.assertListEqual(
								    __a						,	['is_encoder_decoder', '_name_or_path', '_commit_hash', 'transformers_version']     )
								__lowerCamelCase					:	int	       =				[key for key, value in config_common_kwargs.items() if value == getattr(__a						,	__a     )]
								if len(__a     ) > 0:
											raise ValueError(
											    'The following keys are set with the default values in'
											    ' `test_configuration_common.config_common_kwargs` pick another value for them:'
											    f''' {", ".join(__a     )}.'''     )
					def     snake_case_				(    self     ):
								with self.assertRaises(__a     ):
											# config is in subfolder, the following should not work without specifying the subfolder
											__lowerCamelCase					:	int	       =				BertConfig.from_pretrained('hf-internal-testing/tiny-random-bert-subfolder'     )

								__lowerCamelCase					:	Optional[int]	       =				BertConfig.from_pretrained('hf-internal-testing/tiny-random-bert-subfolder'						,	subfolder='bert'     )

								self.assertIsNotNone(__a     )
					def     snake_case_				(    self     ):
								# A mock response for an HTTP head request to emulate server down
								__lowerCamelCase					:	List[str]	       =				mock.Mock()
								__lowerCamelCase					:	Tuple	       =				500
								__lowerCamelCase					:	Tuple	       =				{}
								__lowerCamelCase					:	Optional[Any]	       =				HTTPError
								__lowerCamelCase					:	str	       =				{}

								# Download this model to make sure it's in the cache.
								__lowerCamelCase					:	Optional[int]	       =				BertConfig.from_pretrained('hf-internal-testing/tiny-random-bert'     )

								# Under the mock environment we get a 500 error when trying to reach the model.
								with mock.patch('requests.Session.request'						,	return_value=__a     ) as mock_head:
											__lowerCamelCase					:	Union[str, Any]	       =				BertConfig.from_pretrained('hf-internal-testing/tiny-random-bert'     )
											# This check we did call the fake head request
											mock_head.assert_called()
					def     snake_case_				(    self     ):
								# This test is for deprecated behavior and can be removed in v5
								__lowerCamelCase					:	Optional[Any]	       =				BertConfig.from_pretrained(
								    'https://huggingface.co/hf-internal-testing/tiny-random-bert/resolve/main/config.json'     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	List[Any]	       =				AutoConfig.from_pretrained('bert-base-cased'     )
								__lowerCamelCase					:	str	       =				['config.4.0.0.json']

								with tempfile.TemporaryDirectory() as tmp_dir:
											configuration.save_pretrained(__a     )
											__lowerCamelCase					:	Optional[int]	       =				2
											json.dump(configuration.to_dict()						,	open(os.path.join(__a						,	'config.4.0.0.json'     )						,	'w'     )     )

											# This should pick the new configuration file as the version of Transformers is > 4.0.0
											__lowerCamelCase					:	Any	       =				AutoConfig.from_pretrained(__a     )
											self.assertEqual(new_configuration.hidden_size						,	2     )

											# Will need to be adjusted if we reach v42 and this test is still here.
											# Should pick the old configuration file as the version of Transformers is < 4.42.0
											__lowerCamelCase					:	Any	       =				['config.42.0.0.json']
											__lowerCamelCase					:	Tuple	       =				768
											configuration.save_pretrained(__a     )
											shutil.move(os.path.join(__a						,	'config.4.0.0.json'     )						,	os.path.join(__a						,	'config.42.0.0.json'     )     )
											__lowerCamelCase					:	Dict	       =				AutoConfig.from_pretrained(__a     )
											self.assertEqual(new_configuration.hidden_size						,	768     )





					def     snake_case_				(    self     ):
								# This repo has two configuration files, one for v4.0.0 and above with a different hidden size.
								__lowerCamelCase					:	List[str]	       =				'hf-internal-testing/test-two-configs'

								import transformers as new_transformers

								__lowerCamelCase					:	Tuple	       =				'v4.0.0'
								__lowerCamelCase       ,      __lowerCamelCase					:	Optional[Any]	       =				new_transformers.models.auto.AutoConfig.from_pretrained(
								    __a						,	return_unused_kwargs=__a     )
								self.assertEqual(new_configuration.hidden_size						,	2     )
								# This checks `_configuration_file` ia not kept in the kwargs by mistake.
								self.assertDictEqual(__a						,	{}     )

								# Testing an older version by monkey-patching the version in the module it's used.
								import transformers as old_transformers

								__lowerCamelCase					:	Union[str, Any]	       =				'v3.0.0'
								__lowerCamelCase					:	Optional[int]	       =				old_transformers.models.auto.AutoConfig.from_pretrained(__a     )
								self.assertEqual(old_configuration.hidden_size						,	768     )



