



import os
import shutil
import unittest
from unittest.mock import patch

from transformers.testing_utils import CaptureStd, is_pt_tf_cross_test, require_torch



class        __snake_case		(  unittest.TestCase		):




							@patch('''sys.argv'''       ,       ['''fakeprogrampath''', '''env'''])
							def      UpperCAmelCase__    ( self  : str):
									# test transformers-cli env
									import transformers.commands.transformers_cli

									with CaptureStd() as cs:
											transformers.commands.transformers_cli.main()
									self.assertIn('''Python version'''       ,       cs.out)
									self.assertIn('''Platform'''       ,       cs.out)
									self.assertIn('''Using distributed or parallel set-up in script?'''       ,       cs.out)




							@is_pt_tf_cross_test
							@patch(
							    '''sys.argv'''       ,       ['''fakeprogrampath''', '''pt-to-tf''', '''--model-name''', '''hf-internal-testing/tiny-random-gptj''', '''--no-pr'''])
							def      UpperCAmelCase__    ( self  : Optional[Any]):
									import transformers.commands.transformers_cli

									shutil.rmtree('''/tmp/hf-internal-testing/tiny-random-gptj'''       ,       ignore_errors=A_)  # cleans potential past runs
									transformers.commands.transformers_cli.main()

									# The original repo has no TF weights -- if they exist, they were created by the CLI
									self.assertTrue(os.path.exists('''/tmp/hf-internal-testing/tiny-random-gptj/tf_model.h5'''))




							@require_torch
							@patch('''sys.argv'''       ,       ['''fakeprogrampath''', '''download''', '''hf-internal-testing/tiny-random-gptj''', '''--cache-dir''', '''/tmp'''])
							def      UpperCAmelCase__    ( self  : Dict):
									import transformers.commands.transformers_cli

									# # remove any previously downloaded model to start clean
									shutil.rmtree('''/tmp/models--hf-internal-testing--tiny-random-gptj'''       ,       ignore_errors=A_)

									# run the command
									transformers.commands.transformers_cli.main()

									# check if the model files are downloaded correctly on /tmp/models--hf-internal-testing--tiny-random-gptj
									self.assertTrue(os.path.exists('''/tmp/models--hf-internal-testing--tiny-random-gptj/blobs'''))
									self.assertTrue(os.path.exists('''/tmp/models--hf-internal-testing--tiny-random-gptj/refs'''))
									self.assertTrue(os.path.exists('''/tmp/models--hf-internal-testing--tiny-random-gptj/snapshots'''))







							@require_torch
							@patch(
							    '''sys.argv'''       ,       [
							        '''fakeprogrampath''',
							        '''download''',
							        '''hf-internal-testing/test_dynamic_model_with_tokenizer''',
							        '''--trust-remote-code''',
							        '''--cache-dir''',
							        '''/tmp''',
							    ]       ,       )
							def      UpperCAmelCase__    ( self  : str):
									import transformers.commands.transformers_cli

									# # remove any previously downloaded model to start clean
									shutil.rmtree('''/tmp/models--hf-internal-testing--test_dynamic_model_with_tokenizer'''       ,       ignore_errors=A_)

									# run the command
									transformers.commands.transformers_cli.main()

									# check if the model files are downloaded correctly on /tmp/models--hf-internal-testing--test_dynamic_model_with_tokenizer
									self.assertTrue(os.path.exists('''/tmp/models--hf-internal-testing--test_dynamic_model_with_tokenizer/blobs'''))
									self.assertTrue(os.path.exists('''/tmp/models--hf-internal-testing--test_dynamic_model_with_tokenizer/refs'''))
									self.assertTrue(
									    os.path.exists('''/tmp/models--hf-internal-testing--test_dynamic_model_with_tokenizer/snapshots'''))










import warnings

from ...utils import logging
from .image_processing_detr import DetrImageProcessor


A__						:						str          =      logging.get_logger(__name__)



class        __snake_case		(  UpperCamelCase_		):




							def __init__( self  : Union[str, Any]       ,       *A_  : int       ,       **A_  : List[str]):
									warnings.warn(
									    '''The class DetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
									    ''' Please use DetrImageProcessor instead.'''       ,       A_       ,       )
									super().__init__(*A_       ,       **A_)





