
'''simple docstring'''






import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


__lowercase	=    '''
Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.

In March 2021, Hugging Face raised $40 million in a Series B funding round.[3]

On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]
'''

class 							_snake_case     (  unittest.TestCase						,    lowerCAmelCase_ ):
	"""simple docstring"""





	def 	__A      (						self				: List[Any]      ):
			lowerCAmelCase_   :       int    							=load_tool('''summarization'''      )
			self.tool.setup()
			lowerCAmelCase_   :       Dict    							=load_tool('''summarization'''					,						remote=UpperCamelCase_      )




	def 	__A      (						self				: Union[str, Any]      ):
			lowerCAmelCase_   :       List[str]    							=self.tool(UpperCamelCase_      )
			self.assertEqual(
			    UpperCamelCase_					,						'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''					,						)




	def 	__A      (						self				: int      ):
			lowerCAmelCase_   :       Optional[int]    							=self.remote_tool(UpperCamelCase_      )
			self.assertEqual(
			    UpperCamelCase_					,						'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''					,						)




	def 	__A      (						self				: Tuple      ):
			lowerCAmelCase_   :       List[Any]    							=self.tool(text=UpperCamelCase_      )
			self.assertEqual(
			    UpperCamelCase_					,						'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''					,						)





	def 	__A      (						self				: Optional[Any]      ):
			lowerCAmelCase_   :       Any    							=self.remote_tool(text=UpperCamelCase_      )
			self.assertEqual(
			    UpperCamelCase_					,						'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''					,						)








'''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


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


__lowercase	=    '''lfs-multipart-upload'''

class 							_snake_case     (  lowerCAmelCase_ ):
	"""simple docstring"""





	@staticmethod
	def 	__A      (						UpperCamelCase_				: ArgumentParser      ):
			lowerCAmelCase_   :       Dict    							=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_      )      )

			lowerCAmelCase_   :       str    							=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 							_snake_case     :
	"""simple docstring"""





	def __init__(						self				: Any					,						UpperCamelCase_				: str      ):
			lowerCAmelCase_   :       Any    							=args





	def 	__A      (						self				: Optional[int]      ):
			warnings.warn(
			    '''Managing repositories through transformers-cli is deprecated. Please use `huggingface-cli` instead.'''      )
			lowerCAmelCase_   :       Optional[Any]    							=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__					(							_SCREAMING_SNAKE_CASE  ):
		lowerCAmelCase_   :       Optional[int]    							=json.dumps(_SCREAMING_SNAKE_CASE  ) + '''\n'''
		sys.stdout.write(_SCREAMING_SNAKE_CASE  )
		sys.stdout.flush()







def 		SCREAMING_SNAKE_CASE__					(							):
		lowerCAmelCase_   :       List[Any]    							=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 							_snake_case     (  lowerCAmelCase_ ):
	"""simple docstring"""





	def __init__(						self				: Tuple					,						UpperCamelCase_				: str					,						UpperCamelCase_				: int					,						UpperCamelCase_				: int      ):
			lowerCAmelCase_   :       int    							=filepath
			lowerCAmelCase_   :       Optional[Any]    							=seek_from
			lowerCAmelCase_   :       Tuple    							=read_limit
			lowerCAmelCase_   :       Tuple    							=0




	def __enter__(						self				: int      ):
			lowerCAmelCase_   :       str    							=open(self.filepath					,						'''rb'''      )
			self.f.seek(self.seek_from      )
			return self




	def __len__(						self				: Optional[Any]      ):
			lowerCAmelCase_   :       Tuple    							=os.fstat(self.f.fileno()      ).st_size
			return min(self.read_limit					,						total_length - self.seek_from      )




	def 	__A      (						self				: Any					,						UpperCamelCase_				: str=-1      ):
			if self.n_seen >= self.read_limit:
					return b""
			lowerCAmelCase_   :       str    							=self.read_limit - self.n_seen
			lowerCAmelCase_   :       Optional[int]    							=self.f.read(remaining_amount if n < 0 else min(UpperCamelCase_					,						UpperCamelCase_      )      )
			self.n_seen += len(UpperCamelCase_      )
			return data




	def __iter__(						self				: int      ):
			yield self.read(n=4 * 1024 * 1024      )





	def __exit__(						self				: Tuple					,						*UpperCamelCase_				: Tuple      ):
			self.f.close()







class 							_snake_case     :
	"""simple docstring"""





	def __init__(						self				: List[str]					,						UpperCamelCase_				: List[str]      ):
			lowerCAmelCase_   :       int    							=args





	def 	__A      (						self				: List[Any]      ):
			# Immediately after invoking a custom transfer process, git-lfs
			# sends initiation data to the process over stdin.
			# This tells the process useful information about the configuration.
			lowerCAmelCase_   :       Union[str, Any]    							=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:
					lowerCAmelCase_   :       List[Any]    							=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      )

					lowerCAmelCase_   :       List[Any]    							=msg['''oid''']
					lowerCAmelCase_   :       List[str]    							=msg['''path''']
					lowerCAmelCase_   :       int    							=msg['''action''']['''href''']
					lowerCAmelCase_   :       List[Any]    							=msg['''action''']['''header''']
					lowerCAmelCase_   :       Union[str, Any]    							=int(header.pop('''chunk_size'''      )      )
					lowerCAmelCase_   :       List[str]    							=list(header.values()      )

					lowerCAmelCase_   :       Dict    							=[]
					for i, presigned_url in enumerate(UpperCamelCase_      ):
							with FileSlice(UpperCamelCase_					,						seek_from=i * chunk_size					,						read_limit=UpperCamelCase_      ) as data:
									lowerCAmelCase_   :       Optional[Any]    							=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.

					lowerCAmelCase_   :       Optional[Any]    							=requests.post(
					    UpperCamelCase_					,						json={
					        '''oid''': oid,
					        '''parts''': parts,
					    }					,						)
					r.raise_for_status()

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






