

from __future__ import annotations

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





def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__       ,							):







							'''simple docstring'''






							snake_case_          =   coefficient_matrix.shape
							snake_case_          =   constant_matrix.shape

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

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

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

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

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

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

							snake_case_          =   table.shape

							strictly_diagonally_dominant(UpperCAmelCase__				)

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

							return [float(UpperCAmelCase__				) for i in new_val]





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   table.shape

							snake_case_          =   True

							for i in range(0       ,							UpperCAmelCase__				):
														snake_case_          =   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()







from __future__ import annotations

import os
from typing import Any

import requests

_UpperCAmelCase		:       int						    =	"""https://api.github.com"""

# https://docs.github.com/en/free-pro-team@latest/rest/reference/users#get-the-authenticated-user
_UpperCAmelCase		:       Dict						    =	BASE_URL + """/user"""

# https://github.com/settings/tokens
_UpperCAmelCase		:       Optional[Any]						    =	os.environ.get("""USER_TOKEN""", """""")





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   {
							    'Authorization': F'''token {auth_token}''',
							    'Accept': 'application/vnd.github.v3+json',
							}
							return requests.get(UpperCamelCase__       ,							headers=UpperCamelCase__				).json()


if __name__ == "__main__":  # pragma: no cover
					if USER_TOKEN:
										for key, value in fetch_github_info(USER_TOKEN).items():
															print(F'''{key}: {value}''')
					else:
										raise ValueError("""'USER_TOKEN' field cannot be empty.""")




