"""simple docstring"""




import re
from pathlib import Path
from unittest import TestCase

import pytest





@pytest.mark.integration
class 					A							(    UpperCAmelCase_					):


   def       lowercase_				(self					:						int	,  __UpperCAmelCase					:						str		)						->    str:
         """simple docstring"""



         with open(__UpperCAmelCase	,  encoding="utf-8"		) as input_file:
               UpperCAmelCase__								=  re.compile(r"(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)"		)
               UpperCAmelCase__								=  input_file.read()
               UpperCAmelCase__								=  regexp.search(__UpperCAmelCase		)

         return match


   def       lowercase_				(self					:						Dict	,  __UpperCAmelCase					:						str		)						->    Any:
         """simple docstring"""



         with open(__UpperCAmelCase	,  encoding="utf-8"		) as input_file:
               UpperCAmelCase__								=  re.compile(r"#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()"	,  re.DOTALL		)
               UpperCAmelCase__								=  input_file.read()
               # use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
               UpperCAmelCase__								=  regexp.finditer(__UpperCAmelCase		)

         UpperCAmelCase__								=  [match for match in matches if match is not None and match.group(1		) is not None]
         return matches[0] if matches else None


   def       lowercase_				(self					:						Dict		)						->    Any:
         """simple docstring"""



         UpperCAmelCase__								=  Path("./datasets"		)
         UpperCAmelCase__								=  list(dataset_paths.absolute().glob("**/*.py"		)		)

         for dataset in dataset_files:
               if self._no_encoding_on_file_open(str(__UpperCAmelCase		)		):
                     raise AssertionError(f"""open(...) must use utf-8 encoding in {dataset}"""		)





   def       lowercase_				(self					:						Any		)						->    Optional[Any]:
         """simple docstring"""



         UpperCAmelCase__								=  Path("./datasets"		)
         UpperCAmelCase__								=  list(dataset_paths.absolute().glob("**/*.py"		)		)

         for dataset in dataset_files:
               if self._no_print_statements(str(__UpperCAmelCase		)		):
                     raise AssertionError(f"""print statement found in {dataset}. Use datasets.logger/logging instead."""		)




from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
      if not (is_transformers_available() and is_torch_available()):
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      from ...utils.dummy_torch_and_transformers_objects import ShapEPipeline
else:
      from .camera import create_pan_cameras
      from .pipeline_shap_e import ShapEPipeline
      from .pipeline_shap_e_img2img import ShapEImgaImgPipeline
      from .renderer import (
          BoundingBoxVolume,
          ImportanceRaySampler,
          MLPNeRFModelOutput,
          MLPNeRSTFModel,
          ShapEParamsProjModel,
          ShapERenderer,
          StratifiedRaySampler,
          VoidNeRFModel,
      )



