


'''simple docstring'''

import json
import os
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from requests.exceptions import HTTPError

from transformers.utils import (
    CONFIG_NAME,
    FLAX_WEIGHTS_NAME,
    TF2_WEIGHTS_NAME,
    TRANSFORMERS_CACHE,
    WEIGHTS_NAME,
    cached_file,
    get_file_from_repo,
    has_file,
)


lowerCamelCase							:   Optional[Any]  						=	'hf-internal-testing/tiny-random-bert'
lowerCamelCase							:   Optional[int]  						=	os.path.join(TRANSFORMERS_CACHE, 'models--hf-internal-testing--tiny-random-bert')
lowerCamelCase							:   Optional[Any]  						=	'9b8c223d42b2188cb49d29af482996f9d0f3e5a6'
class   __lowerCAmelCase						(unittest.TestCase     ):





      '''simple docstring'''






      def       UpperCamelCase__		(self    :    Optional[int] ):

             '''simple docstring'''







             lowercase__      			= cached_file(UpperCamelCase   ,						UpperCamelCase )
             # Should have downloaded the file in here
             self.assertTrue(os.path.isdir(UpperCamelCase ) )
             # Cache should contain at least those three subfolders:
             for subfolder in ["blobs", "refs", "snapshots"]:
                    self.assertTrue(os.path.isdir(os.path.join(UpperCamelCase   ,						UpperCamelCase ) ) )
             with open(os.path.join(UpperCamelCase   ,						'''refs'''   ,						'''main''' ) ) as f:
                    lowercase__      			= f.read()
             self.assertEqual(UpperCamelCase   ,						os.path.join(UpperCamelCase   ,						'''snapshots'''   ,						UpperCamelCase   ,						UpperCamelCase ) )
             self.assertTrue(os.path.isfile(UpperCamelCase ) )

             # File is cached at the same place the second time.
             lowercase__      			= cached_file(UpperCamelCase   ,						UpperCamelCase )
             self.assertEqual(UpperCamelCase   ,						UpperCamelCase )

             # Using a specific revision to test the full commit hash.
             lowercase__      			= cached_file(UpperCamelCase   ,						UpperCamelCase   ,						revision='''9b8c223''' )
             self.assertEqual(UpperCamelCase   ,						os.path.join(UpperCamelCase   ,						'''snapshots'''   ,						UpperCamelCase   ,						UpperCamelCase ) )



      def       UpperCamelCase__		(self    :    Tuple ):

             '''simple docstring'''







             with self.assertRaisesRegex(UpperCamelCase   ,						'''is not a valid model identifier''' ):
                    lowercase__      			= cached_file('''tiny-random-bert'''   ,						UpperCamelCase )

             with self.assertRaisesRegex(UpperCamelCase   ,						'''is not a valid git identifier''' ):
                    lowercase__      			= cached_file(UpperCamelCase   ,						UpperCamelCase   ,						revision='''aaaa''' )

             with self.assertRaisesRegex(UpperCamelCase   ,						'''does not appear to have a file named''' ):
                    lowercase__      			= cached_file(UpperCamelCase   ,						'''conf''' )



      def       UpperCamelCase__		(self    :    Optional[Any] ):

             '''simple docstring'''







             with self.assertRaisesRegex(UpperCamelCase   ,						'''does not appear to have a file named''' ):
                    lowercase__      			= cached_file(UpperCamelCase   ,						'''conf''' )

             with open(os.path.join(UpperCamelCase   ,						'''refs'''   ,						'''main''' ) ) as f:
                    lowercase__      			= f.read()
             self.assertTrue(os.path.isfile(os.path.join(UpperCamelCase   ,						'''.no_exist'''   ,						UpperCamelCase   ,						'''conf''' ) ) )

             lowercase__      			= cached_file(UpperCamelCase   ,						'''conf'''   ,						_raise_exceptions_for_missing_entries=UpperCamelCase )
             self.assertIsNone(UpperCamelCase )

             lowercase__      			= cached_file(UpperCamelCase   ,						'''conf'''   ,						local_files_only=UpperCamelCase   ,						_raise_exceptions_for_missing_entries=UpperCamelCase )
             self.assertIsNone(UpperCamelCase )

             lowercase__      			= mock.Mock()
             lowercase__      			= 500
             lowercase__      			= {}
             lowercase__      			= HTTPError
             lowercase__      			= {}

             # Under the mock environment we get a 500 error when trying to reach the tokenizer.
             with mock.patch('''requests.Session.request'''   ,						return_value=UpperCamelCase ) as mock_head:
                    lowercase__      			= cached_file(UpperCamelCase   ,						'''conf'''   ,						_raise_exceptions_for_connection_errors=UpperCamelCase )
                    self.assertIsNone(UpperCamelCase )
                    # This check we did call the fake head request
                    mock_head.assert_called()



      def       UpperCamelCase__		(self    :    Dict ):

             '''simple docstring'''







             self.assertTrue(has_file('''hf-internal-testing/tiny-bert-pt-only'''   ,						UpperCamelCase ) )
             self.assertFalse(has_file('''hf-internal-testing/tiny-bert-pt-only'''   ,						UpperCamelCase ) )
             self.assertFalse(has_file('''hf-internal-testing/tiny-bert-pt-only'''   ,						UpperCamelCase ) )



      def       UpperCamelCase__		(self    :    List[Any] ):

             '''simple docstring'''







             self.assertIsNone(get_file_from_repo('''bert-base-cased'''   ,						'''ahah.txt''' ) )

             # The function raises if the repository does not exist.
             with self.assertRaisesRegex(UpperCamelCase   ,						'''is not a valid model identifier''' ):
                    get_file_from_repo('''bert-base-case'''   ,						UpperCamelCase )

             # The function raises if the revision does not exist.
             with self.assertRaisesRegex(UpperCamelCase   ,						'''is not a valid git identifier''' ):
                    get_file_from_repo('''bert-base-cased'''   ,						UpperCamelCase   ,						revision='''ahaha''' )

             lowercase__      			= get_file_from_repo('''bert-base-cased'''   ,						UpperCamelCase )
             # The name is the cached name which is not very easy to test, so instead we load the content.
             lowercase__      			= json.loads(open(UpperCamelCase   ,						'''r''' ).read() )
             self.assertEqual(config['''hidden_size''']   ,						768 )






      def       UpperCamelCase__		(self    :    Tuple ):

             '''simple docstring'''







             with tempfile.TemporaryDirectory() as tmp_dir:
                    lowercase__      			= Path(UpperCamelCase ) / '''a.txt'''
                    filename.touch()
                    self.assertEqual(get_file_from_repo(UpperCamelCase   ,						'''a.txt''' )   ,						str(UpperCamelCase ) )

                    self.assertIsNone(get_file_from_repo(UpperCamelCase   ,						'''b.txt''' ) )







from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available, is_vision_available
from ...utils import OptionalDependencyNotAvailable


lowerCAmelCase_       	=	{'''configuration_dpt''': ['''DPT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DPTConfig''']}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_       	=	['''DPTFeatureExtractor''']
					lowerCAmelCase_       	=	['''DPTImageProcessor''']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_       	=	[
					    '''DPT_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''DPTForDepthEstimation''',
					    '''DPTForSemanticSegmentation''',
					    '''DPTModel''',
					    '''DPTPreTrainedModel''',
					]


if TYPE_CHECKING:
					from .configuration_dpt import DPT_PRETRAINED_CONFIG_ARCHIVE_MAP, DPTConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_dpt import DPTFeatureExtractor
										from .image_processing_dpt import DPTImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_dpt import (
										    DPT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    DPTForDepthEstimation,
										    DPTForSemanticSegmentation,
										    DPTModel,
										    DPTPreTrainedModel,
										)


else:
					import sys

					lowerCAmelCase_       	=	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)