import json
import os
import subprocess
import unittest
from ast import literal_eval

import pytest
from parameterized import parameterized, parameterized_class

from . import is_sagemaker_available


if is_sagemaker_available():
   from sagemaker import Session, TrainingJobAnalytics
   from sagemaker.huggingface import HuggingFace







@pytest.mark.skipif(
    literal_eval(os.getenv("TEST_SAGEMAKER"     ,	"False"	)	) is not True     ,	reason="Skipping test because should only be run when releasing minor transformers version"     ,	)
@pytest.mark.usefixtures("sm_env"	)
@parameterized_class(
    [
        {
            "framework": "pytorch",
            "script": "run_glue_model_parallelism.py",
            "model_name_or_path": "roberta-large",
            "instance_type": "ml.p3dn.24xlarge",
            "results": {"train_runtime": 16_00, "eval_accuracy": 0.3, "eval_loss": 1.2},
        },
        {
            "framework": "pytorch",
            "script": "run_glue.py",
            "model_name_or_path": "roberta-large",
            "instance_type": "ml.p3dn.24xlarge",
            "results": {"train_runtime": 16_00, "eval_accuracy": 0.3, "eval_loss": 1.2},
        },
    ]	)
class __snake_case       (		unittest.TestCase	):




   def 			__a		(					self    :       Tuple   ):



     """simple docstring"""






     if self.framework == "pytorch":
       subprocess.run(
           f"""cp ./examples/pytorch/text-classification/run_glue.py {self.env.test_path}/run_glue.py""".split() ,			encoding="""utf-8""" ,			check=UpperCAmelCase_ ,			)
     assert hasattr(self ,			"""env"""   )




   def 			__a		(					self    :       Tuple ,			_lowercase    :       Optional[Any]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   {
         """enabled""": True,
         """processes_per_host""": 8,
     }
     SCREAMING_SNAKE_CASE__    							=   {
         """enabled""": True,
         """parameters""": {
             """microbatches""": 4,
             """placement_strategy""": """spread""",
             """pipeline""": """interleaved""",
             """optimize""": """speed""",
             """partitions""": 4,
             """ddp""": True,
         },
     }

     SCREAMING_SNAKE_CASE__    							=   {"""smdistributed""": {"""modelparallel""": smp_options}, """mpi""": mpi_options}

     SCREAMING_SNAKE_CASE__    							=   """trainer""" if self.script == """run_glue.py""" else """smtrainer"""
     # creates estimator
     return HuggingFace(
         entry_point=self.script ,			source_dir=self.env.test_path ,			role=self.env.role ,			image_uri=self.env.image_uri ,			base_job_name=f"""{self.env.base_job_name}-{instance_count}-smp-{name_extension}""" ,			instance_count=UpperCAmelCase_ ,			instance_type=self.instance_type ,			debugger_hook_config=UpperCAmelCase_ ,			hyperparameters={
             **self.env.hyperparameters,
             """model_name_or_path""": self.model_name_or_path,
             """max_steps""": 5_00,
         } ,			metric_definitions=self.env.metric_definitions ,			distribution=UpperCAmelCase_ ,			py_version="""py36""" ,			)




   def 			__a		(					self    :       Optional[int] ,			_lowercase    :       List[str]   ):



     """simple docstring"""






     TrainingJobAnalytics(UpperCAmelCase_   ).export_csv(f"""{self.env.test_path}/{job_name}_metrics.csv"""   )




   @parameterized.expand([(1,)]   )
   def 			__a		(					self    :       Any ,			_lowercase    :       str   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   self.create_estimator(UpperCAmelCase_   )

     # run training
     estimator.fit()

     # result dataframe
     SCREAMING_SNAKE_CASE__    							=   TrainingJobAnalytics(estimator.latest_training_job.name   ).dataframe()

     # extract kpis
     SCREAMING_SNAKE_CASE__    							=   list(result_metrics_df[result_metrics_df.metric_name == """eval_accuracy"""]["""value"""]   )
     SCREAMING_SNAKE_CASE__    							=   list(result_metrics_df[result_metrics_df.metric_name == """eval_loss"""]["""value"""]   )
     # get train time from SageMaker job, this includes starting, preprocessing, stopping
     SCREAMING_SNAKE_CASE__    							=   (
         Session().describe_training_job(estimator.latest_training_job.name   ).get("""TrainingTimeInSeconds""" ,			99_99_99   )
     )

     # assert kpis
     assert train_runtime <= self.results["train_runtime"]
     assert all(t >= self.results["""eval_accuracy"""] for t in eval_accuracy   )
     assert all(t <= self.results["""eval_loss"""] for t in eval_loss   )

     # dump tests result into json file to share in PR
     with open(f"""{estimator.latest_training_job.name}.json""" ,			"""w"""   ) as outfile:
       json.dump({"""train_time""": train_runtime, """eval_accuracy""": eval_accuracy, """eval_loss""": eval_loss} ,			UpperCAmelCase_   )

from __future__ import annotations

from collections.abc import Iterator
from typing import Any







class __snake_case       :




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



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   data
     SCREAMING_SNAKE_CASE__    							=   None







class __snake_case       :




   def __init__(					self    :       List[Any]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   None
     SCREAMING_SNAKE_CASE__    							=   None




   def __iter__(					self    :       Tuple   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   self.head
     while self.head:
       yield node.data
       SCREAMING_SNAKE_CASE__    							=   node.next
       if node == self.head:
         break




   def __len__(					self    :       int   ):



     """simple docstring"""






     return sum(1 for _ in self   )




   def __repr__(					self    :       Optional[int]   ):



     """simple docstring"""






     return "->".join(str(_lowercase   ) for item in iter(self   )   )




   def 			__a		(					self    :       Optional[int] ,			_lowercase    :       Any   ):



     """simple docstring"""






     self.insert_nth(len(self   ) ,			_lowercase   )




   def 			__a		(					self    :       Tuple ,			_lowercase    :       Any   ):



     """simple docstring"""






     self.insert_nth(0 ,			_lowercase   )




   def 			__a		(					self    :       Tuple ,			_lowercase    :       int ,			_lowercase    :       Any   ):



     """simple docstring"""






     if index < 0 or index > len(self   ):
       raise IndexError("""list index out of range."""   )
     SCREAMING_SNAKE_CASE__    							=   Node(_lowercase   )
     if self.head is None:
       SCREAMING_SNAKE_CASE__    							=   new_node  # first node points itself
       SCREAMING_SNAKE_CASE__    							=   SCREAMING_SNAKE_CASE__    							=   new_node
     elif index == 0:  # insert at head
       SCREAMING_SNAKE_CASE__    							=   self.head
       SCREAMING_SNAKE_CASE__    							=   SCREAMING_SNAKE_CASE__    							=   new_node
     else:
       SCREAMING_SNAKE_CASE__    							=   self.head
       for _ in range(index - 1   ):
         SCREAMING_SNAKE_CASE__    							=   temp.next
       SCREAMING_SNAKE_CASE__    							=   temp.next
       SCREAMING_SNAKE_CASE__    							=   new_node
       if index == len(self   ) - 1:  # insert at tail
         SCREAMING_SNAKE_CASE__    							=   new_node




   def 			__a		(					self    :       Dict   ):



     """simple docstring"""






     return self.delete_nth(0   )




   def 			__a		(					self    :       str   ):



     """simple docstring"""






     return self.delete_nth(len(self   ) - 1   )




   def 			__a		(					self    :       str ,			_lowercase    :       int = 0   ):



     """simple docstring"""






     if not 0 <= index < len(self   ):
       raise IndexError("""list index out of range."""   )
     SCREAMING_SNAKE_CASE__    							=   self.head
     if self.head == self.tail:  # just one node
       SCREAMING_SNAKE_CASE__    							=   SCREAMING_SNAKE_CASE__    							=   None
     elif index == 0:  # delete head node
       SCREAMING_SNAKE_CASE__    							=   self.tail.next.next
       SCREAMING_SNAKE_CASE__    							=   self.head.next
     else:
       SCREAMING_SNAKE_CASE__    							=   self.head
       for _ in range(index - 1   ):
         SCREAMING_SNAKE_CASE__    							=   temp.next
       SCREAMING_SNAKE_CASE__    							=   temp.next
       SCREAMING_SNAKE_CASE__    							=   temp.next.next
       if index == len(self   ) - 1:  # delete at tail
         SCREAMING_SNAKE_CASE__    							=   temp
     return delete_node.data




   def 			__a		(					self    :       Optional[int]   ):



     """simple docstring"""






     return len(self   ) == 0





def 			__SCREAMING_SNAKE_CASE						(      )							->      None:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   CircularLinkedList()
  assert len(__UpperCamelCase			) == 0
  assert circular_linked_list.is_empty() is True
  assert str(__UpperCamelCase			) == ""

  try:
    circular_linked_list.delete_front()
    raise AssertionError  # This should not happen
  except IndexError:
    assert True  # This should happen

  try:
    circular_linked_list.delete_tail()
    raise AssertionError  # This should not happen
  except IndexError:
    assert True  # This should happen

  try:
    circular_linked_list.delete_nth(-1			)
    raise AssertionError
  except IndexError:
    assert True

  try:
    circular_linked_list.delete_nth(0			)
    raise AssertionError
  except IndexError:
    assert True

  assert circular_linked_list.is_empty() is True
  for i in range(5			):
    assert len(__UpperCamelCase			) == i
    circular_linked_list.insert_nth(__UpperCamelCase				,  i + 1			)
  assert str(__UpperCamelCase			) == "->".join(str(__UpperCamelCase			) for i in range(1				,  6			)			)

  circular_linked_list.insert_tail(6			)
  assert str(__UpperCamelCase			) == "->".join(str(__UpperCamelCase			) for i in range(1				,  7			)			)
  circular_linked_list.insert_head(0			)
  assert str(__UpperCamelCase			) == "->".join(str(__UpperCamelCase			) for i in range(0				,  7			)			)

  assert circular_linked_list.delete_front() == 0
  assert circular_linked_list.delete_tail() == 6
  assert str(__UpperCamelCase			) == "->".join(str(__UpperCamelCase			) for i in range(1				,  6			)			)
  assert circular_linked_list.delete_nth(2			) == 3

  circular_linked_list.insert_nth(2				,  3			)
  assert str(__UpperCamelCase			) == "->".join(str(__UpperCamelCase			) for i in range(1				,  6			)			)

  assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
   import doctest

   doctest.testmod()
