





'''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,
)


_lowercase       						=			"hf-internal-testing/tiny-random-bert"
_lowercase       						=			os.path.join(TRANSFORMERS_CACHE, 'models--hf-internal-testing--tiny-random-bert')
_lowercase       						=			"9b8c223d42b2188cb49d29af482996f9d0f3e5a6"
class 			_lowercase						(       unittest.TestCase					):







     def     UpperCamelCase			( self    ) ->	Union[str, Any]:

      '''simple docstring'''





      snake_case				=			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:
       snake_case				=			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.
      snake_case				=			cached_file(_UpperCamelCase    ,   _UpperCamelCase    )
      self.assertEqual(_UpperCamelCase    ,   _UpperCamelCase    )

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







     def     UpperCamelCase			( self    ) ->	Union[str, Any]:

      '''simple docstring'''





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

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

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







     def     UpperCamelCase			( self    ) ->	str:

      '''simple docstring'''





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

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

      snake_case				=			cached_file(_UpperCamelCase    ,   '''conf'''    ,   _raise_exceptions_for_missing_entries=_UpperCamelCase    )
      self.assertIsNone(_UpperCamelCase    )

      snake_case				=			cached_file(_UpperCamelCase    ,   '''conf'''    ,   local_files_only=_UpperCamelCase    ,   _raise_exceptions_for_missing_entries=_UpperCamelCase    )
      self.assertIsNone(_UpperCamelCase    )

      snake_case				=			mock.Mock()
      snake_case				=			5_00
      snake_case				=			{}
      snake_case				=			HTTPError
      snake_case				=			{}

      # 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:
       snake_case				=			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    ) ->	Any:

      '''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    ) ->	Union[str, 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'''    )

      snake_case				=			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.
      snake_case				=			json.loads(open(_UpperCamelCase    ,   '''r'''    ).read()    )
      self.assertEqual(config['''hidden_size''']    ,   7_68    )







     def     UpperCamelCase			( self    ) ->	List[str]:

      '''simple docstring'''





      with tempfile.TemporaryDirectory() as tmp_dir:
       snake_case				=			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'''    )    )








'''simple docstring'''







import hashlib
import unittest

from transformers import MODEL_FOR_DEPTH_ESTIMATION_MAPPING, is_torch_available, is_vision_available
from transformers.pipelines import DepthEstimationPipeline, pipeline
from transformers.testing_utils import (
    is_pipeline_test,
    nested_simplify,
    require_tf,
    require_timm,
    require_torch,
    require_vision,
    slow,
)

from .test_pipelines_common import ANY


if is_torch_available():
   import torch

if is_vision_available():
   from PIL import Image
else:
   class 			_lowercase						:







        @staticmethod
        def     UpperCamelCase			( *A__    ,   **A__    ) ->	List[Any]:
         pass

def    __UpperCamelCase	(	a    : Image     ) ->str:
 snake_case				=			hashlib.mda(image.tobytes()     )
 return m.hexdigest()






@is_pipeline_test
@require_vision
@require_timm
@require_torch
class 			_lowercase						(       unittest.TestCase					):
     _UpperCAmelCase										=					MODEL_FOR_DEPTH_ESTIMATION_MAPPING







     def     UpperCamelCase			( self    ,   A__    ,   A__    ,   A__    ) ->	Union[str, Any]:
      snake_case				=			DepthEstimationPipeline(model=A__    ,   image_processor=A__    )
      return depth_estimator, [
          "./tests/fixtures/tests_samples/COCO/000000039769.png",
          "./tests/fixtures/tests_samples/COCO/000000039769.png",
      ]







     def     UpperCamelCase			( self    ,   A__    ,   A__    ) ->	List[Any]:
      snake_case				=			depth_estimator('''./tests/fixtures/tests_samples/COCO/000000039769.png'''    )
      self.assertEqual({'''predicted_depth''': ANY(torch.Tensor    ), '''depth''': ANY(Image.Image    )}    ,   A__    )
      import datasets

      snake_case				=			datasets.load_dataset('''hf-internal-testing/fixtures_image_utils'''    ,   '''image'''    ,   split='''test'''    )
      snake_case				=			depth_estimator(
          [
              Image.open('''./tests/fixtures/tests_samples/COCO/000000039769.png'''    ),
              '''http://images.cocodataset.org/val2017/000000039769.jpg''',
              # RGBA
              dataset[0]['''file'''],
              # LA
              dataset[1]['''file'''],
              # L
              dataset[2]['''file'''],
          ]    )
      self.assertEqual(
          [
              {'''predicted_depth''': ANY(torch.Tensor    ), '''depth''': ANY(Image.Image    )},
              {'''predicted_depth''': ANY(torch.Tensor    ), '''depth''': ANY(Image.Image    )},
              {'''predicted_depth''': ANY(torch.Tensor    ), '''depth''': ANY(Image.Image    )},
              {'''predicted_depth''': ANY(torch.Tensor    ), '''depth''': ANY(Image.Image    )},
              {'''predicted_depth''': ANY(torch.Tensor    ), '''depth''': ANY(Image.Image    )},
          ]    ,   A__    ,   )







     @require_tf
     @unittest.skip('''Depth estimation is not implemented in TF'''    )
     def     UpperCamelCase			( self    ) ->	Optional[Any]:
      pass







     @slow
     @require_torch
     def     UpperCamelCase			( self    ) ->	Dict:
      snake_case				=			'''Intel/dpt-large'''
      snake_case				=			pipeline('''depth-estimation'''    ,   model=A__    )
      snake_case				=			depth_estimator('''http://images.cocodataset.org/val2017/000000039769.jpg'''    )
      snake_case				=			hashimage(outputs['''depth''']    )

      # This seems flaky.
      # self.assertEqual(outputs["depth"], "1a39394e282e9f3b0741a90b9f108977")
      self.assertEqual(nested_simplify(outputs['''predicted_depth'''].max().item()    )    ,   2_9.3_0_4    )
      self.assertEqual(nested_simplify(outputs['''predicted_depth'''].min().item()    )    ,   2.6_6_2    )







     @require_torch
     def     UpperCamelCase			( self    ) ->	Any:
      # This is highly irregular to have no small tests.
      self.skipTest('''There is not hf-internal-testing tiny model for either GLPN nor DPT'''    )

