






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(					__UpperCamelCase      ):



 @staticmethod
 def 						UpperCAmelCase    (	UpperCAmelCase__   :   ArgumentParser	):

    """simple docstring"""






    lowercase__						:	Optional[int]         = parser.add_parser("""login""" ,		help="""Log in using the same credentials as on huggingface.co"""	)
    login_parser.set_defaults(func=lambda UpperCAmelCase__	: LoginCommand(UpperCAmelCase__	)	)
    lowercase__						:	Union[str, Any]         = parser.add_parser("""whoami""" ,		help="""Find out which huggingface.co account you are logged in as."""	)
    whoami_parser.set_defaults(func=lambda UpperCAmelCase__	: WhoamiCommand(UpperCAmelCase__	)	)
    lowercase__						:	str         = parser.add_parser("""logout""" ,		help="""Log out"""	)
    logout_parser.set_defaults(func=lambda UpperCAmelCase__	: LogoutCommand(UpperCAmelCase__	)	)

    # new system: git-based repo system
    lowercase__						:	Dict         = parser.add_parser(
        """repo""" ,		help="""Deprecated: use `huggingface-cli` instead. Commands to interact with your huggingface.co repos.""" ,		)
    lowercase__						:	str         = repo_parser.add_subparsers(
        help="""Deprecated: use `huggingface-cli` instead. huggingface.co repos related commands"""	)
    lowercase__						:	List[Any]         = 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=UpperCAmelCase__ ,		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=UpperCAmelCase__ ,		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 UpperCAmelCase__	: RepoCreateCommand(UpperCAmelCase__	)	)
class        __snake_case:
 lowercase :       Optional[int]		      =		'''\u001b[1m'''
 lowercase :       str		      =		'''\u001b[31m'''
 lowercase :       Dict		      =		'''\u001b[90m'''
 lowercase :       Optional[int]		      =		'''\u001b[0m'''



 @classmethod
 def 						UpperCAmelCase    (	cls   :   int ,		UpperCAmelCase__   :   Union[str, Any]	):

    """simple docstring"""






    return f'''{cls._bold}{s}{cls._reset}'''



 @classmethod
 def 						UpperCAmelCase    (	cls   :   Dict ,		UpperCAmelCase__   :   Optional[Any]	):

    """simple docstring"""






    return f'''{cls._bold}{cls._red}{s}{cls._reset}'''







 @classmethod
 def 						UpperCAmelCase    (	cls   :   str ,		UpperCAmelCase__   :   Dict	):

    """simple docstring"""






    return f'''{cls._gray}{s}{cls._reset}'''
def       a__						(  A		,				A					):
   lowercase__						:	Dict         = [max(len(str(A					)					) for x in col					) for col in zip(*A		,				A					)]
   lowercase__						:	List[Any]         = ("""{{:{}}} """ * len(A					)).format(*A					)
   lowercase__						:	Any         = []
   lines.append(row_format.format(*A					)					)
   lines.append(row_format.format(*["""-""" * w for w in col_widths]					)					)
   for row in rows:
      lines.append(row_format.format(*A					)					)
   return "\n".join(A					)
class        __snake_case:



 def __init__(	self   :   Union[str, Any] ,		UpperCAmelCase__   :   str	):

    """simple docstring"""






    lowercase__						:	str         = args
class        __snake_case(					__UpperCamelCase      ):



 def 						UpperCAmelCase    (	self   :   List[Any]	):

    """simple docstring"""






    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(					__UpperCamelCase      ):



 def 						UpperCAmelCase    (	self   :   Union[str, Any]	):

    """simple docstring"""






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



 def 						UpperCAmelCase    (	self   :   str	):

    """simple docstring"""






    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(					__UpperCamelCase      ):



 def 						UpperCAmelCase    (	self   :   str	):

    """simple docstring"""






    print(
        ANSI.red(
            """WARNING! Managing repositories through transformers-cli is deprecated. """
            """Please use `huggingface-cli` instead."""	)	)
    lowercase__						:	str         = HfFolder.get_token()
    if token is None:
       print("""Not logged in"""	)
       exit(1	)
    try:
       lowercase__						:	List[str]         = 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:
       lowercase__						:	List[Any]         = 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(""""""	)

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

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










from typing import SupportsIndex

import numpy as np
from scipy.ndimage import convolve
def       a__						(  A		,				A		,				A					):
   lowercase__						:	Dict         = np.stack((horizontal_flow, vertical_flow)		,				2					)

   # Create a grid of all pixel coordinates and subtract the flow to get the
   # target pixels coordinates
   lowercase__						:	Tuple         = np.stack(
       np.meshgrid(np.arange(0		,				image.shape[1]					)		,				np.arange(0		,				image.shape[0]					)					)		,				2					)
   lowercase__						:	Union[str, Any]         = np.round(grid - flow					).astype(np.intaa					)

   # Find the locations outside of the original image
   lowercase__						:	Optional[Any]         = (grid < 0) | (grid >= np.array([image.shape[1], image.shape[0]]					))
   lowercase__						:	int         = 0

   lowercase__						:	Tuple         = image[grid[:, :, 1], grid[:, :, 0]]

   # Set pixels at invalid locations to 0
   lowercase__						:	str         = 0

   return warped
def       a__						(  A		,				A		,				A		,				A = None		,				):
   if alpha is None:
      lowercase__						:	Tuple         = 0.1

   # Initialize flow
   lowercase__						:	Optional[int]         = np.zeros_like(A					)
   lowercase__						:	Tuple         = np.zeros_like(A					)

   # Prepare kernels for the calculation of the derivatives and the average velocity
   lowercase__						:	Tuple         = np.array([[-1, 1], [-1, 1]]					) * 0.2_5
   lowercase__						:	int         = np.array([[-1, -1], [1, 1]]					) * 0.2_5
   lowercase__						:	Optional[int]         = np.array([[1, 1], [1, 1]]					) * 0.2_5
   lowercase__						:	Optional[Any]         = np.array(
       [[1 / 12, 1 / 6, 1 / 12], [1 / 6, 0, 1 / 6], [1 / 12, 1 / 6, 1 / 12]]					)

   # Iteratively refine the flow
   for _ in range(A					):
      lowercase__						:	Optional[int]         = warp(A		,				A		,				A					)
      lowercase__						:	Union[str, Any]         = convolve(A		,				A					) + convolve(A		,				A					)
      lowercase__						:	Union[str, Any]         = convolve(A		,				A					) + convolve(A		,				A					)
      lowercase__						:	str         = convolve(A		,				A					) + convolve(A		,				-kernel_t					)

      lowercase__						:	str         = convolve(A		,				A					)
      lowercase__						:	Tuple         = convolve(A		,				A					)

      # This updates the flow as proposed in the paper (Step 12)
      lowercase__						:	List[Any]         = (
          derivative_x * avg_horizontal_velocity
          + derivative_y * avg_vertical_velocity
          + derivative_t
      )
      lowercase__						:	Union[str, Any]         = update / (alpha**2 + derivative_x**2 + derivative_y**2)

      lowercase__						:	Optional[int]         = avg_horizontal_velocity - derivative_x * update
      lowercase__						:	int         = avg_vertical_velocity - derivative_y * update

   return horizontal_flow, vertical_flow


if __name__ == "__main__":
 import doctest

 doctest.testmod()


