


'''simple docstring'''

import json
import os
import subprocess
import sys
import warnings
from argparse import ArgumentParser
from contextlib import AbstractContextManager
from typing import Dict, List, Optional

import requests

from ..utils import logging
from . import BaseTransformersCLICommand


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


lowerCamelCase  						=     'lfs-multipart-upload'
class   __lowerCAmelCase						(lowercase_					):





      '''simple docstring'''






      @staticmethod
      def 				UpperCamelCase__		(UpperCamelCase   :   ArgumentParser			):

             '''simple docstring'''







             lowercase__				      =			parser.add_parser(
                 '''lfs-enable-largefiles'''       ,						help=(
                     '''Deprecated: use `huggingface-cli` instead. Configure your repository to enable upload of files > 5GB.'''
                 )       ,						)
             enable_parser.add_argument('''path'''       ,						type=__UpperCamelCase       ,						help='''Local path to repository you want to configure.'''			)
             enable_parser.set_defaults(func=lambda UpperCamelCase			: LfsEnableCommand(__UpperCamelCase			)			)

             lowercase__				      =			parser.add_parser(
                 __UpperCamelCase       ,						help=(
                     '''Deprecated: use `huggingface-cli` instead. '''
                     '''Command will get called by git-lfs, do not call it directly.'''
                 )       ,						)
             upload_parser.set_defaults(func=lambda UpperCamelCase			: LfsUploadCommand(__UpperCamelCase			)			)






class   __lowerCAmelCase						:





      '''simple docstring'''






      def __init__(self   :   Any       ,						UpperCamelCase   :   int			):

             '''simple docstring'''







             lowercase__				      =			args






      def 				UpperCamelCase__		(self   :   Optional[Any]			):

             '''simple docstring'''







             warnings.warn(
                 '''Managing repositories through transformers-cli is deprecated. Please use `huggingface-cli` instead.'''			)
             lowercase__				      =			os.path.abspath(self.args.path			)
             if not os.path.isdir(__UpperCamelCase			):
                    print('''This does not look like a valid git repo.'''			)
                    exit(1			)
             subprocess.run(
                 '''git config lfs.customtransfer.multipart.path transformers-cli'''.split()       ,						check=__UpperCamelCase       ,						cwd=__UpperCamelCase			)
             subprocess.run(
                 f"git config lfs.customtransfer.multipart.args {LFS_MULTIPART_UPLOAD_COMMAND}".split()       ,						check=__UpperCamelCase       ,						cwd=__UpperCamelCase       ,						)
             print('''Local repo set up for largefiles'''			)






def _SCREAMING_SNAKE_CASE				(A	)	->	Dict:






       """simple docstring"""







       lowercase__				      =			json.dumps(A	) + '''\n'''
       sys.stdout.write(A	)
       sys.stdout.flush()

def _SCREAMING_SNAKE_CASE				()	->	Union[str, Any]:






       """simple docstring"""







       lowercase__				      =			json.loads(sys.stdin.readline().strip()	)

       if "terminate" in (msg.get('''type'''	), msg.get('''event'''	)):
              # terminate message received
              return None

       if msg.get('''event'''	) not in ("download", "upload"):
              logger.critical('''Received unexpected message'''	)
              sys.exit(1	)

       return msg
class   __lowerCAmelCase						(lowercase_					):





      '''simple docstring'''






      def __init__(self   :   List[Any]       ,						UpperCamelCase   :   str       ,						UpperCamelCase   :   int       ,						UpperCamelCase   :   int			):

             '''simple docstring'''







             lowercase__				      =			filepath
             lowercase__				      =			seek_from
             lowercase__				      =			read_limit
             lowercase__				      =			0



      def __enter__(self   :   Optional[Any]			):

             '''simple docstring'''







             lowercase__				      =			open(self.filepath       ,						'''rb'''			)
             self.f.seek(self.seek_from			)
             return self



      def __len__(self   :   Dict			):

             '''simple docstring'''







             lowercase__				      =			os.fstat(self.f.fileno()			).st_size
             return min(self.read_limit       ,						total_length - self.seek_from			)



      def 				UpperCamelCase__		(self   :   Tuple       ,						UpperCamelCase   :   Any=-1			):

             '''simple docstring'''







             if self.n_seen >= self.read_limit:
                    return b""
             lowercase__				      =			self.read_limit - self.n_seen
             lowercase__				      =			self.f.read(remaining_amount if n < 0 else min(__UpperCamelCase       ,						__UpperCamelCase			)			)
             self.n_seen += len(__UpperCamelCase			)
             return data



      def __iter__(self   :   Dict			):

             '''simple docstring'''







             yield self.read(n=4 * 1024 * 1024			)






      def __exit__(self   :   Optional[Any]       ,						*UpperCamelCase   :   Dict			):

             '''simple docstring'''







             self.f.close()






class   __lowerCAmelCase						:





      '''simple docstring'''






      def __init__(self   :   Optional[Any]       ,						UpperCamelCase   :   str			):

             '''simple docstring'''







             lowercase__				      =			args






      def 				UpperCamelCase__		(self   :   Any			):

             '''simple docstring'''







             lowercase__				      =			json.loads(sys.stdin.readline().strip()			)
             if not (init_msg.get('''event'''			) == "init" and init_msg.get('''operation'''			) == "upload"):
                    write_msg({'''error''': {'''code''': 32, '''message''': '''Wrong lfs init operation'''}}			)
                    sys.exit(1			)

             # The transfer process should use the information it needs from the
             # initiation structure, and also perform any one-off setup tasks it
             # needs to do. It should then respond on stdout with a simple empty
             # confirmation structure, as follows:
             write_msg({}			)

             # After the initiation exchange, git-lfs will send any number of
             # transfer requests to the stdin of the transfer process, in a serial sequence.
             while True:
                    lowercase__				      =			read_msg()
                    if msg is None:
                           # When all transfers have been processed, git-lfs will send
                           # a terminate event to the stdin of the transfer process.
                           # On receiving this message the transfer process should
                           # clean up and terminate. No response is expected.
                           sys.exit(0			)

                    lowercase__				      =			msg['''oid''']
                    lowercase__				      =			msg['''path''']
                    lowercase__				      =			msg['''action''']['''href''']
                    lowercase__				      =			msg['''action''']['''header''']
                    lowercase__				      =			int(header.pop('''chunk_size'''			)			)
                    lowercase__				      =			list(header.values()			)

                    lowercase__				      =			[]
                    for i, presigned_url in enumerate(__UpperCamelCase			):
                           with FileSlice(__UpperCamelCase       ,						seek_from=i * chunk_size       ,						read_limit=__UpperCamelCase			) as data:
                                  lowercase__				      =			requests.put(__UpperCamelCase       ,						data=__UpperCamelCase			)
                                  r.raise_for_status()
                                  parts.append(
                                      {
                                          '''etag''': r.headers.get('''etag'''			),
                                          '''partNumber''': i + 1,
                                      }			)
                                  # In order to support progress reporting while data is uploading / downloading,
                                  # the transfer process should post messages to stdout
                                  write_msg(
                                      {
                                          '''event''': '''progress''',
                                          '''oid''': oid,
                                          '''bytesSoFar''': (i + 1) * chunk_size,
                                          '''bytesSinceLast''': chunk_size,
                                      }			)
                                  # Not precise but that's ok.

                    lowercase__				      =			requests.post(
                        __UpperCamelCase       ,						json={
                            '''oid''': oid,
                            '''parts''': parts,
                        }       ,						)
                    r.raise_for_status()

                    write_msg({'''event''': '''complete''', '''oid''': oid}			)








'''simple docstring'''

import random
import unittest

import torch

from diffusers import IFImgaImgPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device

from ..pipeline_params import (
    TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS,
    TEXT_GUIDED_IMAGE_VARIATION_PARAMS,
)
from ..test_pipelines_common import PipelineTesterMixin
from . import IFPipelineTesterMixin
@skip_mps
class   __lowerCAmelCase						(lowercase_  ,					lowercase_  ,					unittest.TestCase					):





      '''simple docstring'''






      lowerCAmelCase__ :					Dict   =							IFImgaImgPipeline
      lowerCAmelCase__ :					int   =							TEXT_GUIDED_IMAGE_VARIATION_PARAMS - {"""width""", """height"""}
      lowerCAmelCase__ :					Optional[int]   =							TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS
      lowerCAmelCase__ :					str   =							PipelineTesterMixin.required_optional_params - {"""latents"""}



      def 				UpperCamelCase__		(self   :   Dict			):

             '''simple docstring'''







             return self._get_dummy_components()



      def 				UpperCamelCase__		(self   :   Optional[Any]       ,						UpperCamelCase   :   List[Any]       ,						UpperCamelCase   :   Optional[Any]=0			):

             '''simple docstring'''







             if str(UpperCamelCase			).startswith('''mps'''			):
                    lowercase__				      =			torch.manual_seed(UpperCamelCase			)
             else:
                    lowercase__				      =			torch.Generator(device=UpperCamelCase			).manual_seed(UpperCamelCase			)

             lowercase__				      =			floats_tensor((1, 3, 32, 32)       ,						rng=random.Random(UpperCamelCase			)			).to(UpperCamelCase			)

             lowercase__				      =			{
                 '''prompt''': '''A painting of a squirrel eating a burger''',
                 '''image''': image,
                 '''generator''': generator,
                 '''num_inference_steps''': 2,
                 '''output_type''': '''numpy''',
             }

             return inputs



      def 				UpperCamelCase__		(self   :   int			):

             '''simple docstring'''







             self._test_save_load_optional_components()



      @unittest.skipIf(
          torch_device != '''cuda''' or not is_xformers_available()       ,						reason='''XFormers attention is only available with CUDA and `xformers` installed'''       ,						)
      def 				UpperCamelCase__		(self   :   Optional[Any]			):

             '''simple docstring'''







             self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1E-3			)



      @unittest.skipIf(torch_device != '''cuda'''       ,						reason='''float16 requires CUDA'''			)
      def 				UpperCamelCase__		(self   :   Any			):

             '''simple docstring'''







             super().test_save_load_floataa(expected_max_diff=1E-1			)



      @unittest.skipIf(torch_device != '''cuda'''       ,						reason='''float16 requires CUDA'''			)
      def 				UpperCamelCase__		(self   :   Dict			):

             '''simple docstring'''







             super().test_floataa_inference(expected_max_diff=1E-1			)



      def 				UpperCamelCase__		(self   :   Optional[int]			):

             '''simple docstring'''







             self._test_attention_slicing_forward_pass(expected_max_diff=1E-2			)



      def 				UpperCamelCase__		(self   :   str			):

             '''simple docstring'''







             self._test_save_load_local()






      def 				UpperCamelCase__		(self   :   List[Any]			):

             '''simple docstring'''







             self._test_inference_batch_single_identical(
                 expected_max_diff=1E-2       ,						)




