


from __future__ import annotations

from typing import Any



class 						_UpperCAmelCase      :






		def __init__(						self				:     Union[str, Any]   ,  UpperCAmelCase				:     int   ,  UpperCAmelCase				:     int   ,  UpperCAmelCase				:     float = 0):
				SCREAMING_SNAKE_CASE_     ,				SCREAMING_SNAKE_CASE_				:str				     =						row, column
				SCREAMING_SNAKE_CASE_				:int				     =						[[default_value for c in range(UpperCAmelCase)] for r in range(UpperCAmelCase)]






		def __str__(						self				:     int):
				SCREAMING_SNAKE_CASE_				:str				     =						F"Matrix consist of {self.row} rows and {self.column} columns\n"

				# Make string identifier
				SCREAMING_SNAKE_CASE_				:List[str]				     =						0
				for row_vector in self.array:
						for obj in row_vector:
								SCREAMING_SNAKE_CASE_				:int				     =						max(UpperCAmelCase   ,  len(str(UpperCAmelCase)))
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						F"%{max_element_length}s"

				# Make string and return
				def single_line(UpperCAmelCase				:     list[float]) -> str:
						nonlocal string_format_identifier
						SCREAMING_SNAKE_CASE_				:str				     =						"["
						line += ", ".join(string_format_identifier % (obj,) for obj in row_vector)
						line += "]"
						return line

				s += "\n".join(single_line(UpperCAmelCase) for row_vector in self.array)
				return s






		def __repr__(						self				:     Any):
				return str(self)






		def _snake_case		(						self				:     List[Any]   ,  UpperCAmelCase				:     tuple[int, int]):
				if not (isinstance(UpperCAmelCase   ,  (list, tuple)) and len(UpperCAmelCase) == 2):
						return False
				elif not (0 <= loc[0] < self.row and 0 <= loc[1] < self.column):
						return False
				else:
						return True






		def __getitem__(						self				:     Optional[Any]   ,  UpperCAmelCase				:     tuple[int, int]):
				assert self.validate_indicies(UpperCAmelCase)
				return self.array[loc[0]][loc[1]]






		def __setitem__(						self				:     str   ,  UpperCAmelCase				:     tuple[int, int]   ,  UpperCAmelCase				:     float):
				assert self.validate_indicies(UpperCAmelCase)
				SCREAMING_SNAKE_CASE_				:Any				     =						value






		def __add__(						self				:     List[Any]   ,  UpperCAmelCase				:     Matrix):
				assert isinstance(UpperCAmelCase   ,  UpperCAmelCase)
				assert self.row == another.row and self.column == another.column

				# Add
				SCREAMING_SNAKE_CASE_				:str				     =						Matrix(self.row   ,  self.column)
				for r in range(self.row):
						for c in range(self.column):
								SCREAMING_SNAKE_CASE_				:Optional[int]				     =						self[r, c] + another[r, c]
				return result






		def __neg__(						self				:     Any):
				SCREAMING_SNAKE_CASE_				:List[str]				     =						Matrix(self.row   ,  self.column)
				for r in range(self.row):
						for c in range(self.column):
								SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						-self[r, c]
				return result






		def __sub__(						self				:     Union[str, Any]   ,  UpperCAmelCase				:     Matrix):
				return self + (-another)






		def __mul__(						self				:     Optional[int]   ,  UpperCAmelCase				:     int | float | Matrix):

				if isinstance(UpperCAmelCase   ,  (int, float)):  # Scalar multiplication
						SCREAMING_SNAKE_CASE_				:str				     =						Matrix(self.row   ,  self.column)
						for r in range(self.row):
								for c in range(self.column):
										SCREAMING_SNAKE_CASE_				:Optional[int]				     =						self[r, c] * another
						return result
				elif isinstance(UpperCAmelCase   ,  UpperCAmelCase):  # Matrix multiplication
						assert self.column == another.row
						SCREAMING_SNAKE_CASE_				:List[str]				     =						Matrix(self.row   ,  another.column)
						for r in range(self.row):
								for c in range(another.column):
										for i in range(self.column):
												result[r, c] += self[r, i] * another[i, c]
						return result
				else:
						SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						F"Unsupported type given for another ({type(UpperCAmelCase)})"
						raise TypeError(UpperCAmelCase)






		def _snake_case		(						self				:     int):
				SCREAMING_SNAKE_CASE_				:Any				     =						Matrix(self.column   ,  self.row)
				for r in range(self.row):
						for c in range(self.column):
								SCREAMING_SNAKE_CASE_				:Any				     =						self[r, c]
				return result







		def _snake_case		(						self				:     Union[str, Any]   ,  UpperCAmelCase				:     Matrix   ,  UpperCAmelCase				:     Matrix):
				assert isinstance(UpperCAmelCase   ,  UpperCAmelCase) and isinstance(UpperCAmelCase   ,  UpperCAmelCase)
				assert self.row == self.column == u.row == v.row  # u, v should be column vector
				assert u.column == v.column == 1  # u, v should be column vector

				# Calculate
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						v.transpose()
				SCREAMING_SNAKE_CASE_				:List[Any]				     =						(v_t * self * u)[0, 0] + 1
				if numerator_factor == 0:
						return None  # It's not invertable
				return self - ((self * u) * (v_t * self) * (1.0 / numerator_factor))


# Testing
if __name__ == "__main__":


		def     lowercase	(    ):



				'''simple docstring'''




				SCREAMING_SNAKE_CASE_				:List[Any]				     =						Matrix(3     , 3     , 0 )
				for i in range(3 ):
						SCREAMING_SNAKE_CASE_				:List[str]				     =						1
				print(F"a^(-1) is {ainv}" )
				# u, v
				SCREAMING_SNAKE_CASE_				:Dict				     =						Matrix(3     , 1     , 0 )
				SCREAMING_SNAKE_CASE_     ,				SCREAMING_SNAKE_CASE_     ,				SCREAMING_SNAKE_CASE_				:List[Any]				     =						1, 2, -3
				SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						Matrix(3     , 1     , 0 )
				SCREAMING_SNAKE_CASE_     ,				SCREAMING_SNAKE_CASE_     ,				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						4, -2, 5
				print(F"u is {u}" )
				print(F"v is {v}" )
				print(F"uv^T is {u * v.transpose()}" )
				# Sherman Morrison
				print(F"(a + uv^T)^(-1) is {ainv.sherman_morrison(a     , a )}" )


		def     lowercase	(    ):



				'''simple docstring'''




				import doctest

				doctest.testmod()
		testa()










from argparse import ArgumentParser

from ..pipelines import Pipeline, PipelineDataFormat, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand


SCREAMING_SNAKE_CASE__     					=			logging.get_logger(__name__)  # pylint: disable=invalid-name


def     lowercase	(    a ):



		'''simple docstring'''




		if not path:
				return "pipe"

		for ext in PipelineDataFormat.SUPPORTED_FORMATS:
				if path.endswith(a ):
						return ext

		raise Exception(
		    F"Unable to determine file format from file extension {path}. "
		    F"Please provide the format through --format {PipelineDataFormat.SUPPORTED_FORMATS}" )


def     lowercase	(    a ):



		'''simple docstring'''




		SCREAMING_SNAKE_CASE_				:Tuple				     =						pipeline(
		    task=args.task     , model=args.model if args.model else None     , config=args.config     , tokenizer=args.tokenizer     , device=args.device     , )
		SCREAMING_SNAKE_CASE_				:Any				     =						try_infer_format_from_ext(args.input ) if args.format == "infer" else args.format
		SCREAMING_SNAKE_CASE_				:str				     =						PipelineDataFormat.from_str(
		    format=a     , output_path=args.output     , input_path=args.input     , column=args.column if args.column else nlp.default_input_names     , overwrite=args.overwrite     , )
		return RunCommand(a     , a )



class 						_UpperCAmelCase      (     lowercase							):






		def __init__(						self				:     List[Any]   ,  UpperCAmelCase				:     Pipeline   ,  UpperCAmelCase				:     PipelineDataFormat):
				SCREAMING_SNAKE_CASE_				:int				     =						nlp
				SCREAMING_SNAKE_CASE_				:Any				     =						reader






		@staticmethod
		def _snake_case		(						UpperCAmelCase				:     ArgumentParser):
				SCREAMING_SNAKE_CASE_				:Any				     =						parser.add_parser("run"   ,  help="Run a pipeline through the CLI")
				run_parser.add_argument("--task"   ,  choices=get_supported_tasks()   ,  help="Task to run")
				run_parser.add_argument("--input"   ,  type=UpperCAmelCase   ,  help="Path to the file to use for inference")
				run_parser.add_argument("--output"   ,  type=UpperCAmelCase   ,  help="Path to the file that will be used post to write results.")
				run_parser.add_argument("--model"   ,  type=UpperCAmelCase   ,  help="Name or path to the model to instantiate.")
				run_parser.add_argument("--config"   ,  type=UpperCAmelCase   ,  help="Name or path to the model's config to instantiate.")
				run_parser.add_argument(
				    "--tokenizer"   ,  type=UpperCAmelCase   ,  help="Name of the tokenizer to use. (default: same as the model name)")
				run_parser.add_argument(
				    "--column"   ,  type=UpperCAmelCase   ,  help="Name of the column to use as input. (For multi columns input as QA use column1,columns2)"   ,  )
				run_parser.add_argument(
				    "--format"   ,  type=UpperCAmelCase   ,  default="infer"   ,  choices=PipelineDataFormat.SUPPORTED_FORMATS   ,  help="Input format to read from"   ,  )
				run_parser.add_argument(
				    "--device"   ,  type=UpperCAmelCase   ,  default=-1   ,  help="Indicate the device to run onto, -1 indicates CPU, >= 0 indicates GPU (default: -1)"   ,  )
				run_parser.add_argument("--overwrite"   ,  action="store_true"   ,  help="Allow overwriting the output file.")
				run_parser.set_defaults(func=UpperCAmelCase)







		def _snake_case		(						self				:     List[str]):
				SCREAMING_SNAKE_CASE_     ,				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						self._nlp, []

				for entry in self._reader:
						SCREAMING_SNAKE_CASE_				:int				     =						nlp(**UpperCAmelCase) if self._reader.is_multi_columns else nlp(UpperCAmelCase)
						if isinstance(UpperCAmelCase   ,  UpperCAmelCase):
								outputs.append(UpperCAmelCase)
						else:
								outputs += output

        # Saving data
				if self._nlp.binary_output:
						SCREAMING_SNAKE_CASE_				:Dict				     =						self._reader.save_binary(UpperCAmelCase)
						logger.warning(F"Current pipeline requires output to be in binary format, saving at {binary_path}")
				else:
						self._reader.save(UpperCAmelCase)






