





from __future__ import annotations




class     SCREAMING_SNAKE_CASE__ :



 def __init__(							self,__lowerCamelCase ):
        A__											=						order

        # a_{0} ... a_{k}
        A__											=						[1.0] + [0.0] * order
        # b_{0} ... b_{k}
        A__											=						[1.0] + [0.0] * order

        # x[n-1] ... x[n-k]
        A__											=						[0.0] * self.order
        # y[n-1] ... y[n-k]
        A__											=						[0.0] * self.order



 def 				UpperCamelCase			(							self,__lowerCamelCase,__lowerCamelCase ):
        if len(lowerCAmelCase__ ) < self.order:
               A__											=						[1.0, *a_coeffs]

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

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

        A__											=						a_coeffs
        A__											=						b_coeffs




 def 				UpperCamelCase			(							self,__lowerCamelCase ):
        A__											=						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]
               )

        A__											=						(result + self.b_coeffs[0] * sample) / self.a_coeffs[0]

        A__											=						self.input_history[:-1]
        A__											=						self.output_history[:-1]

        A__											=						sample
        A__											=						result

        return result












"""simple docstring"""




# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from argparse import ArgumentParser

from accelerate.commands.config import get_config_parser
from accelerate.commands.env import env_command_parser
from accelerate.commands.launch import launch_command_parser
from accelerate.commands.test import test_command_parser
from accelerate.commands.tpu import tpu_command_parser






def       _SCREAMING_SNAKE_CASE		(	) ->Dict:






	'''simple docstring'''






	a      :		Any	=				ArgumentParser("Accelerate CLI tool"    ,       usage="accelerate <command> [<args>]"    ,       allow_abbrev=_lowercase					)
	a      :		List[Any]	=				parser.add_subparsers(help="accelerate command helpers"					)

	# Register commands
	get_config_parser(subparsers=_lowercase					)
	env_command_parser(subparsers=_lowercase					)
	launch_command_parser(subparsers=_lowercase					)
	tpu_command_parser(subparsers=_lowercase					)
	test_command_parser(subparsers=_lowercase					)

	# Let's go
	a      :		List[Any]	=				parser.parse_args()

	if not hasattr(_lowercase    ,       "func"					):
		parser.print_help()
		exit(1					)

	# Run
	args.func(_lowercase					)


if __name__ == "__main__":
		main()


