






"""simple docstring"""





from __future__ import annotations

import numpy as np
from numpy import floataa
from numpy.typing import NDArray







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	)					->	list[float]:
      """simple docstring"""

      UpperCamelCase__       ,						UpperCamelCase__         =    coefficient_matrix.shape
      UpperCamelCase__       ,						UpperCamelCase__         =    constant_matrix.shape

      if rowsa != colsa:
            UpperCamelCase__         =    F'Coefficient matrix dimensions must be nxn but received {rowsa}x{colsa}'
            raise ValueError(SCREAMING_SNAKE_CASE					)

      if colsa != 1:
            UpperCamelCase__         =    F'Constant matrix must be nx1 but received {rowsa}x{colsa}'
            raise ValueError(SCREAMING_SNAKE_CASE					)

      if rowsa != rowsa:
            UpperCamelCase__         =    (
                'Coefficient and constant matrices dimensions must be nxn and nx1 but '
                F'received {rowsa}x{colsa} and {rowsa}x{colsa}'
            )
            raise ValueError(SCREAMING_SNAKE_CASE					)

      if len(SCREAMING_SNAKE_CASE					) != rowsa:
            UpperCamelCase__         =    (
                'Number of initial values must be equal to number of rows in coefficient '
                F'matrix but received {len(SCREAMING_SNAKE_CASE					)} and {rowsa}'
            )
            raise ValueError(SCREAMING_SNAKE_CASE					)

      if iterations <= 0:
            raise ValueError('Iterations must be at least 1'					)

      UpperCamelCase__         =    np.concatenate(
          (coefficient_matrix, constant_matrix) ,	axis=1					)

      UpperCamelCase__       ,						UpperCamelCase__         =    table.shape

      strictly_diagonally_dominant(SCREAMING_SNAKE_CASE					)

      # Iterates the whole matrix for given number of times
      for _ in range(SCREAMING_SNAKE_CASE					):
            UpperCamelCase__         =    []
            for row in range(SCREAMING_SNAKE_CASE					):
                  UpperCamelCase__         =    0
                  for col in range(SCREAMING_SNAKE_CASE					):
                        if col == row:
                              UpperCamelCase__         =    table[row][col]
                        elif col == cols - 1:
                              UpperCamelCase__         =    table[row][col]
                        else:
                              temp += (-1) * table[row][col] * init_val[col]
                  UpperCamelCase__         =    (temp + val) / denom
                  new_val.append(SCREAMING_SNAKE_CASE					)
            UpperCamelCase__         =    new_val

      return [float(SCREAMING_SNAKE_CASE					) for i in new_val]







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	bool:
      """simple docstring"""

      UpperCamelCase__       ,						UpperCamelCase__         =    table.shape

      UpperCamelCase__         =    True

      for i in range(0 ,	SCREAMING_SNAKE_CASE					):
            UpperCamelCase__         =    0
            for j in range(0 ,	cols - 1					):
                  if i == j:
                        continue
                  else:
                        total += table[i][j]

            if table[i][i] <= total:
                  raise ValueError('Coefficient matrix is not strictly diagonally dominant'					)

      return is_diagonally_dominant


# Test Cases
if __name__ == "__main__":
  import doctest

  doctest.testmod()












"""simple docstring"""





from argparse import ArgumentParser

from . import BaseTransformersCLICommand







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Dict:
    """simple docstring"""

    return DownloadCommand(args.model ,	args.cache_dir ,	args.force ,	args.trust_remote_code					)





class    __lowerCamelCase    (  _a  ):

   @staticmethod
   def 						SCREAMING_SNAKE_CASE__ (					snake_case_      )		->       Union[str, Any]:
       UpperCamelCase__         =    parser.add_parser('download'      )
       download_parser.add_argument(
           '--cache-dir' ,				type=snake_case_ ,				default=snake_case_ ,				help='Path to location to store the models'      )
       download_parser.add_argument(
           '--force' ,				action='store_true' ,				help='Force the model to be download even if already in cache-dir'      )
       download_parser.add_argument(
           '--trust-remote-code' ,				action='store_true' ,				help='Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you\'ve reviewed the code as it will execute on your local machine' ,				)
       download_parser.add_argument('model' ,				type=snake_case_ ,				help='Name of the model to download'      )
       download_parser.set_defaults(func=snake_case_      )

   def __init__(					self ,				snake_case_ ,				snake_case_ ,				snake_case_ ,				snake_case_      )		->       str:
       UpperCamelCase__         =    model
       UpperCamelCase__         =    cache
       UpperCamelCase__         =    force
       UpperCamelCase__         =    trust_remote_code







   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       List[Any]:
       from ..models.auto import AutoModel, AutoTokenizer

       AutoModel.from_pretrained(
           self._model ,				cache_dir=self._cache ,				force_download=self._force ,				trust_remote_code=self._trust_remote_code      )
       AutoTokenizer.from_pretrained(
           self._model ,				cache_dir=self._cache ,				force_download=self._force ,				trust_remote_code=self._trust_remote_code      )




