"""simple docstring"""
import enum
import shutil
import sys


SCREAMING_SNAKE_CASE__						,       SCREAMING_SNAKE_CASE__      						=  shutil.get_terminal_size()

SCREAMING_SNAKE_CASE__      						=  {"UP": "A", "DOWN": "B", "RIGHT": "C", "LEFT": "D"}



class   lowerCAmelCase_    (			enum.Enum					):



				"""simple docstring"""
				_lowerCAmelCase     :    str			  =						0
				_lowerCAmelCase     :    Dict			  =						1





def    lowerCAmelCase__    (			_UpperCamelCase       :				List[str] ,			_UpperCamelCase       :				Tuple=""					)					->				Union[str, Any]:





						"""simple docstring"""






						sys.stdout.write(str(_UpperCamelCase					) + end					)
						sys.stdout.flush()





def    lowerCAmelCase__    (			_UpperCamelCase       :				str ,			_UpperCamelCase       :				str ,			_UpperCamelCase       :				str=""					)					->				Optional[Any]:





						"""simple docstring"""






						forceWrite(f"""\u001b[{color}m{content}\u001b[0m""" ,			_UpperCamelCase					)





def    lowerCAmelCase__    (			)					->				int:





						"""simple docstring"""






						forceWrite('\r'					)





def    lowerCAmelCase__    (			_UpperCamelCase       :				int ,			_UpperCamelCase       :				str					)					->				Optional[Any]:





						"""simple docstring"""






						forceWrite(f"""\033[{num_lines}{CURSOR_TO_CHAR[direction.upper()]}"""					)





def    lowerCAmelCase__    (			)					->				Optional[Any]:





						"""simple docstring"""






						forceWrite(' ' * TERMINAL_WIDTH					)
						reset_cursor()





def    lowerCAmelCase__    (			)					->				int:





						"""simple docstring"""






						reset_cursor()
						forceWrite('-' * TERMINAL_WIDTH					)







"""simple docstring"""
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,
					)


