import subprocess
from argparse import ArgumentParser
from typing import List, Union

from huggingface_hub.hf_api import HfFolder, create_repo, whoami
from requests.exceptions import HTTPError

from . import BaseTransformersCLICommand




class 					_snake_case						(						_lowercase				):
					@staticmethod
					def    _lowerCamelCase (  __lowerCamelCase:				ArgumentParser     )    ->				List[str]:
												__UpperCAmelCase						:			int         =   parser.add_parser("login"	,  help="Log in using the same credentials as on huggingface.co"     )
												login_parser.set_defaults(func=lambda __lowerCamelCase     : LoginCommand(__lowerCamelCase     )     )
												__UpperCAmelCase						:			Dict         =   parser.add_parser("whoami"	,  help="Find out which huggingface.co account you are logged in as."     )
												whoami_parser.set_defaults(func=lambda __lowerCamelCase     : WhoamiCommand(__lowerCamelCase     )     )
												__UpperCAmelCase						:			int         =   parser.add_parser("logout"	,  help="Log out"     )
												logout_parser.set_defaults(func=lambda __lowerCamelCase     : LogoutCommand(__lowerCamelCase     )     )

												# new system: git-based repo system
												__UpperCAmelCase						:			Union[str, Any]         =   parser.add_parser(
												    "repo"	,  help="Deprecated: use `huggingface-cli` instead. Commands to interact with your huggingface.co repos."	,  )
												__UpperCAmelCase						:			List[str]         =   repo_parser.add_subparsers(
												    help="Deprecated: use `huggingface-cli` instead. huggingface.co repos related commands"     )
												__UpperCAmelCase						:			str         =   repo_subparsers.add_parser(
												    "create"	,  help="Deprecated: use `huggingface-cli` instead. Create a new repo on huggingface.co"     )
												repo_create_parser.add_argument(
												    "name"	,  type=__lowerCamelCase	,  help="Name for your model's repo. Will be namespaced under your username to build the model id."	,  )
												repo_create_parser.add_argument("--organization"	,  type=__lowerCamelCase	,  help="Optional: organization namespace."     )
												repo_create_parser.add_argument("-y"	,  "--yes"	,  action="store_true"	,  help="Optional: answer Yes to the prompt"     )
												repo_create_parser.set_defaults(func=lambda __lowerCamelCase     : RepoCreateCommand(__lowerCamelCase     )     )




class 					_snake_case						:
					lowerCamelCase__:		Any  =     "\u001b[1m"
					lowerCamelCase__:		int  =     "\u001b[31m"
					lowerCamelCase__:		Union[str, Any]  =     "\u001b[90m"
					lowerCamelCase__:		Optional[int]  =     "\u001b[0m"
					@classmethod
					def    _lowerCamelCase (  cls:				Optional[int]	,  __lowerCamelCase:				str     )    ->				Optional[int]:
												return f'''{cls._bold}{s}{cls._reset}'''
					@classmethod
					def    _lowerCamelCase (  cls:				Optional[int]	,  __lowerCamelCase:				Union[str, Any]     )    ->				Optional[int]:
												return f'''{cls._bold}{cls._red}{s}{cls._reset}'''





					@classmethod
					def    _lowerCamelCase (  cls:				Any	,  __lowerCamelCase:				Any     )    ->				Union[str, Any]:
												return f'''{cls._gray}{s}{cls._reset}'''




def   _UpperCamelCase   (			snake_case__,    snake_case__							)						->   str:
							__UpperCAmelCase						:			Dict         =   [max(len(str(snake_case__							)							) for x in col							) for col in zip(*snake_case__,    snake_case__							)]
							__UpperCAmelCase						:			Optional[int]         =   ("{{:{}}} " * len(snake_case__							)).format(*snake_case__							)
							__UpperCAmelCase						:			Any         =   []
							lines.append(row_format.format(*snake_case__							)							)
							lines.append(row_format.format(*["-" * w for w in col_widths]							)							)
							for row in rows:
														lines.append(row_format.format(*snake_case__							)							)
							return "\n".join(snake_case__							)




class 					_snake_case						:
					def __init__(  self:				Optional[Any]	,  __lowerCamelCase:				Optional[Any]     )    ->				List[Any]:
												__UpperCAmelCase						:			Tuple         =   args




class 					_snake_case						(						_lowercase				):
					def    _lowerCamelCase (  self:				int     )    ->				Dict:
												print(
												    ANSI.red(
												        "ERROR! `huggingface-cli login` uses an outdated login mechanism "
												        "that is not compatible with the Hugging Face Hub backend anymore. "
												        "Please use `huggingface-cli login instead."     )     )




class 					_snake_case						(						_lowercase				):
					def    _lowerCamelCase (  self:				List[str]     )    ->				Any:
												print(
												    ANSI.red(
												        "WARNING! `transformers-cli whoami` is deprecated and will be removed in v5. Please use "
												        "`huggingface-cli whoami` instead."     )     )
												__UpperCAmelCase						:			List[Any]         =   HfFolder.get_token()
												if token is None:
																			print("Not logged in"     )
																			exit()
												try:
																			__UpperCAmelCase    ,	__UpperCAmelCase						:			Any         =   whoami(__lowerCamelCase     )
																			print(__lowerCamelCase     )
																			if orgs:
																										print(ANSI.bold("orgs: "     )	,  ",".join(__lowerCamelCase     )     )
												except HTTPError as e:
																			print(__lowerCamelCase     )
																			print(ANSI.red(e.response.text     )     )
																			exit(1     )




class 					_snake_case						(						_lowercase				):
					def    _lowerCamelCase (  self:				str     )    ->				List[Any]:
												print(
												    ANSI.red(
												        "ERROR! `transformers-cli logout` uses an outdated logout mechanism "
												        "that is not compatible with the Hugging Face Hub backend anymore. "
												        "Please use `huggingface-cli logout instead."     )     )




class 					_snake_case						(						_lowercase				):
					def    _lowerCamelCase (  self:				int     )    ->				int:
												print(
												    ANSI.red(
												        "WARNING! Managing repositories through transformers-cli is deprecated. "
												        "Please use `huggingface-cli` instead."     )     )
												__UpperCAmelCase						:			Union[str, Any]         =   HfFolder.get_token()
												if token is None:
																			print("Not logged in"     )
																			exit(1     )
												try:
																			__UpperCAmelCase						:			Union[str, Any]         =   subprocess.check_output(["git", "--version"]     ).decode("utf-8"     )
																			print(ANSI.gray(stdout.strip()     )     )
												except FileNotFoundError:
																			print("Looks like you do not have git installed, please install."     )

												try:
																			__UpperCAmelCase						:			Optional[int]         =   subprocess.check_output(["git-lfs", "--version"]     ).decode("utf-8"     )
																			print(ANSI.gray(stdout.strip()     )     )
												except FileNotFoundError:
																			print(
																			    ANSI.red(
																			        "Looks like you do not have git-lfs installed, please install."
																			        " You can install from https://git-lfs.github.com/."
																			        " Then run `git lfs install` (you only have to do this once)."     )     )
												print(""     )

												__UpperCAmelCase    ,	__UpperCAmelCase						:			List[Any]         =   whoami(__lowerCamelCase     )
												__UpperCAmelCase						:			Any         =   self.args.organization if self.args.organization is not None else user
												__UpperCAmelCase						:			Tuple         =   f'''{namespace}/{self.args.name}'''
												print(f'''You are about to create {ANSI.bold(__lowerCamelCase     )}'''     )

												if not self.args.yes:
																			__UpperCAmelCase						:			Union[str, Any]         =   input("Proceed? [Y/n] "     ).lower()
																			if not (choice == "" or choice == "y" or choice == "yes"):
																										print("Abort"     )
																										exit()
												try:
																			__UpperCAmelCase						:			Optional[Any]         =   create_repo(__lowerCamelCase	,  name=self.args.name	,  organization=self.args.organization     )
												except HTTPError as e:
																			print(__lowerCamelCase     )
																			print(ANSI.red(e.response.text     )     )
																			exit(1     )
												print("\nYour repo now lives at:"     )
												print(f'''  {ANSI.bold(__lowerCamelCase     )}'''     )
												print("\nYou can clone it locally with the command below, and commit/push as usual."     )
												print(f'''\n  git clone {url}'''     )
												print(""     )





import numpy as np
import requests




def   _UpperCamelCase   (			)						->   Tuple:
							__UpperCAmelCase						:			Tuple         =   requests.get(
							    "https://raw.githubusercontent.com/yashLadha/The_Math_of_Intelligence/"
							    "master/Week1/ADRvsRating.csv"							)
							__UpperCAmelCase						:			List[Any]         =   response.text.splitlines()
							__UpperCAmelCase						:			Any         =   []
							for item in lines:
														__UpperCAmelCase						:			Any         =   item.split(","							)
														data.append(snake_case__							)
							data.pop(0							)  # This is for removing the labels from the list
							__UpperCAmelCase						:			List[str]         =   np.matrix(snake_case__							)
							return dataset




def   _UpperCamelCase   (			snake_case__,    snake_case__,    snake_case__,    snake_case__,    snake_case__							)						->   Optional[Any]:
							__UpperCAmelCase						:			Tuple         =   len_data

							__UpperCAmelCase						:			int         =   np.dot(snake_case__,    data_x.transpose()							)
							prod -= data_y.transpose()
							__UpperCAmelCase						:			Optional[int]         =   np.dot(snake_case__,    snake_case__							)
							__UpperCAmelCase						:			List[Any]         =   theta - (alpha / n) * sum_grad
							return theta




def   _UpperCamelCase   (			snake_case__,    snake_case__,    snake_case__,    snake_case__							)						->   Optional[int]:
							__UpperCAmelCase						:			Any         =   np.dot(snake_case__,    data_x.transpose()							)
							prod -= data_y.transpose()
							__UpperCAmelCase						:			Optional[int]         =   np.sum(np.square(snake_case__							)							)
							__UpperCAmelCase						:			List[Any]         =   sum_elem / (2 * len_data)
							return error




def   _UpperCamelCase   (			snake_case__,    snake_case__							)						->   Tuple:
							__UpperCAmelCase						:			Any         =   10_0000
							__UpperCAmelCase						:			Dict         =   0.000_1550

							__UpperCAmelCase						:			str         =   data_x.shape[1]
							__UpperCAmelCase						:			Any         =   data_x.shape[0] - 1

							__UpperCAmelCase						:			List[str]         =   np.zeros((1, no_features)							)

							for i in range(0,    snake_case__							):
														__UpperCAmelCase						:			Union[str, Any]         =   run_steep_gradient_descent(snake_case__,    snake_case__,    snake_case__,    snake_case__,    snake_case__							)
														__UpperCAmelCase						:			Any         =   sum_of_square_error(snake_case__,    snake_case__,    snake_case__,    snake_case__							)
														print(f'''At Iteration {i + 1} - Error is {error:.5f}'''							)

							return theta




def   _UpperCamelCase   (			snake_case__,    snake_case__							)						->   Optional[int]:
							__UpperCAmelCase						:			str         =   sum(abs(y - predicted_y[i]							) for i, y in enumerate(snake_case__							)							)
							return total / len(snake_case__							)




def   _UpperCamelCase   (			)						->   List[str]:
							__UpperCAmelCase						:			str         =   collect_dataset()

							__UpperCAmelCase						:			List[Any]         =   data.shape[0]
							__UpperCAmelCase						:			Union[str, Any]         =   np.c_[np.ones(snake_case__							), data[:, :-1]].astype(snake_case__							)
							__UpperCAmelCase						:			int         =   data[:, -1].astype(snake_case__							)

							__UpperCAmelCase						:			List[Any]         =   run_linear_regression(snake_case__,    snake_case__							)
							__UpperCAmelCase						:			List[str]         =   theta.shape[1]
							print("Resultant Feature vector : "							)
							for i in range(0,    snake_case__							):
														print(f'''{theta[0, i]:.5f}'''							)


if __name__ == "__main__":
	main()




