


from __future__ import annotations






class   UpperCamelCase       :


   '''simple docstring'''







   def __init__(  self ,				UpperCamelCase_		):
        lowercase_							:Tuple			     =							order

        # a_{0} ... a_{k}
        lowercase_							:List[Any]			     =							[1.0] + [0.0] * order
        # b_{0} ... b_{k}
        lowercase_							:Tuple			     =							[1.0] + [0.0] * order

        # x[n-1] ... x[n-k]
        lowercase_							:str			     =							[0.0] * self.order
        # y[n-1] ... y[n-k]
        lowercase_							:str			     =							[0.0] * self.order
   def 		UpperCamelCase	(  self ,				UpperCamelCase_ ,				UpperCamelCase_		):



        if len(__UpperCAmelCase		) < self.order:
             lowercase_							:Union[str, Any]			     =							[1.0, *a_coeffs]

        if len(__UpperCAmelCase		) != self.order + 1:
             lowercase_							:int			     =							(
                 f"Expected a_coeffs to have {self.order + 1} elements "
                 f"for {self.order}-order filter, got {len(__UpperCAmelCase		)}"
             )
             raise ValueError(__UpperCAmelCase		)

        if len(__UpperCAmelCase		) != self.order + 1:
             lowercase_							:Dict			     =							(
                 f"Expected b_coeffs to have {self.order + 1} elements "
                 f"for {self.order}-order filter, got {len(__UpperCAmelCase		)}"
             )
             raise ValueError(__UpperCAmelCase		)

        lowercase_							:Optional[Any]			     =							a_coeffs
        lowercase_							:Union[str, Any]			     =							b_coeffs




   def 		UpperCamelCase	(  self ,				UpperCamelCase_		):
        lowercase_							:Union[str, Any]			     =							0.0

        # Start at index 1 and do index 0 at the end.
        for i in range(1 ,				self.order + 1		):
             result += (
                 self.b_coeffs[i] * self.input_history[i - 1]
                 - self.a_coeffs[i] * self.output_history[i - 1]
             )

        lowercase_							:Any			     =							(result + self.b_coeffs[0] * sample) / self.a_coeffs[0]

        lowercase_							:Any			     =							self.input_history[:-1]
        lowercase_							:Union[str, Any]			     =							self.output_history[:-1]

        lowercase_							:Tuple			     =							sample
        lowercase_							:List[Any]			     =							result

        return result






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase		       =      {
    """configuration_instructblip""": [
        """INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """InstructBlipConfig""",
        """InstructBlipQFormerConfig""",
        """InstructBlipVisionConfig""",
    ],
    """processing_instructblip""": ["""InstructBlipProcessor"""],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase		       =      [
						    """INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """InstructBlipQFormerModel""",
						    """InstructBlipPreTrainedModel""",
						    """InstructBlipForConditionalGeneration""",
						    """InstructBlipVisionModel""",
						]

if TYPE_CHECKING:
						from .configuration_instructblip import (
						    INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    InstructBlipConfig,
						    InstructBlipQFormerConfig,
						    InstructBlipVisionConfig,
						)
						from .processing_instructblip import InstructBlipProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_instructblip import (
												    INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
												    InstructBlipForConditionalGeneration,
												    InstructBlipPreTrainedModel,
												    InstructBlipQFormerModel,
												    InstructBlipVisionModel,
												)

else:
						import sys

						lowerCamelCase		       =      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


