






import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links




def 				A		(					lowercase__  :  Optional[Any] ,		lowercase__  :  str=7  )		-> List[str]:
	UpperCamelCase__ :List[Any]						=      None
	if token is not None:
		UpperCamelCase__ :Optional[int]						=      {"""Accept""": """application/vnd.github+json""", """Authorization""": f"""Bearer {token}"""}

	# The id of a workflow (not of a workflow run)
	UpperCamelCase__ :str						=      """636036"""

	UpperCamelCase__ :Tuple						=      f"""https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs"""
	# On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
	url += f"""?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}"""

	UpperCamelCase__ :List[str]						=      requests.get(lowercase__ ,		headers=lowercase__  ).json()

	return result["workflow_runs"]




def 				A		(					lowercase__  :  Optional[Any]  )		-> Optional[Any]:
	UpperCamelCase__ :Any						=      get_daily_ci_runs(lowercase__  )
	UpperCamelCase__ :Optional[Any]						=      None
	for workflow_run in workflow_runs:
		if workflow_run["status"] == "completed":
			UpperCamelCase__ :Tuple						=      workflow_run["""id"""]
			break

	return workflow_run_id




def 				A		(					lowercase__  :  Union[str, Any] ,		lowercase__  :  int ,		lowercase__  :  int  )		-> List[str]:
	UpperCamelCase__ :Any						=      get_last_daily_ci_runs(lowercase__  )
	if workflow_run_id is not None:
		UpperCamelCase__ :int						=      get_artifacts_links(worflow_run_id=lowercase__ ,		token=lowercase__  )
		for artifact_name in artifact_names:
			if artifact_name in artifacts_links:
				UpperCamelCase__ :int						=      artifacts_links[artifact_name]
				download_artifact(
				    artifact_name=lowercase__ ,		artifact_url=lowercase__ ,		output_dir=lowercase__ ,		token=lowercase__  )




def 				A		(					lowercase__  :  Optional[Any] ,		lowercase__  :  Optional[Any] ,		lowercase__  :  List[str]  )		-> Optional[int]:
	get_last_daily_ci_artifacts(lowercase__ ,		lowercase__ ,		lowercase__  )

	UpperCamelCase__ :str						=      {}
	for artifact_name in artifact_names:
		UpperCamelCase__ :List[Any]						=      os.path.join(lowercase__ ,		f"""{artifact_name}.zip"""  )
		if os.path.isfile(lowercase__  ):
			UpperCamelCase__ :Optional[Any]						=      {}
			with zipfile.ZipFile(lowercase__  ) as z:
				for filename in z.namelist():
					if not os.path.isdir(lowercase__  ):
						# read the file
						with z.open(lowercase__  ) as f:
							UpperCamelCase__ :str						=      f.read().decode("""UTF-8"""  )

	return results




import inspect
import os
import unittest
from dataclasses import dataclass

import torch

from accelerate import Accelerator, DistributedDataParallelKwargs, GradScalerKwargs
from accelerate.state import AcceleratorState
from accelerate.test_utils import execute_subprocess_async, require_cuda, require_multi_gpu
from accelerate.utils import KwargsHandler



@dataclass
class      _UpperCAmelCase      (							A__  ):
     UpperCamelCase__		     =					0
     UpperCamelCase__		     =					False
     UpperCamelCase__		     =					3.0







class      _UpperCAmelCase      (							unittest.TestCase  ):




     def 		snake_case_		(					self):
         # If no defaults are changed, `to_kwargs` returns an empty dict.
         self.assertDictEqual(MockClass().to_kwargs()			,    {})
         self.assertDictEqual(MockClass(a=2).to_kwargs()			,    {'''a''': 2})
         self.assertDictEqual(MockClass(a=2			,    b=a__).to_kwargs()			,    {'''a''': 2, '''b''': True})
         self.assertDictEqual(MockClass(a=2			,    c=2.2_5).to_kwargs()			,    {'''a''': 2, '''c''': 2.2_5})




     @require_cuda
     def 		snake_case_		(					self):
         # If no defaults are changed, `to_kwargs` returns an empty dict.
         A__					=       GradScalerKwargs(init_scale=1_0_2_4			,    growth_factor=2)
         AcceleratorState._reset_state()
         A__					=       Accelerator(mixed_precision='''fp16'''			,    kwargs_handlers=[scaler_handler])
         print(accelerator.use_fpaa)
         A__					=       accelerator.scaler

         # Check the kwargs have been applied
         self.assertEqual(scaler._init_scale			,    1_0_2_4.0)
         self.assertEqual(scaler._growth_factor			,    2.0)

         # Check the other values are at the default
         self.assertEqual(scaler._backoff_factor			,    0.5)
         self.assertEqual(scaler._growth_interval			,    2_0_0_0)
         self.assertEqual(scaler._enabled			,    a__)




     @require_multi_gpu
     def 		snake_case_		(					self):
         A__					=       ['''torchrun''', F"--nproc_per_node={torch.cuda.device_count()}", inspect.getfile(self.__class__)]
         execute_subprocess_async(a__			,    env=os.environ.copy())


if __name__ == "__main__":
   _lowercase    	=		DistributedDataParallelKwargs(bucket_cap_mb=15, find_unused_parameters=True)
   _lowercase    	=		Accelerator(kwargs_handlers=[ddp_scaler])
   _lowercase    	=		torch.nn.Linear(100, 200)
   _lowercase    	=		accelerator.prepare(model)

   # Check the values changed in kwargs
   _lowercase    	=		""
   _lowercase    	=		model.bucket_bytes_cap // (1024 * 1024)
   if observed_bucket_cap_map != 15:
      error_msg += F"Kwargs badly passed, should have `15` but found {observed_bucket_cap_map}.\n"
   if model.find_unused_parameters is not True:
      error_msg += F"Kwargs badly passed, should have `True` but found {model.find_unused_parameters}.\n"

   # Check the values of the defaults
   if model.dim != 0:
      error_msg += F"Default value not respected, should have `0` but found {model.dim}.\n"
   if model.broadcast_buffers is not True:
      error_msg += F"Default value not respected, should have `True` but found {model.broadcast_buffers}.\n"
   if model.gradient_as_bucket_view is not False:
      error_msg += F"Default value not respected, should have `False` but found {model.gradient_as_bucket_view}.\n"

   # Raise error at the end to make sure we don't stop at the first failure.
   if len(error_msg) > 0:
      raise ValueError(error_msg)
