




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

import pytest
from parameterized import 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.py',
            'model_name_or_path': 'distilbert-base-cased',
            'instance_type': 'ml.g4dn.xlarge',
            'results': {'train_runtime': 6_50, 'eval_accuracy': 0.6, 'eval_loss': 0.9},
        },
        {
            'framework': 'tensorflow',
            'script': 'run_tf.py',
            'model_name_or_path': 'distilbert-base-cased',
            'instance_type': 'ml.g4dn.xlarge',
            'results': {'train_runtime': 6_00, 'eval_accuracy': 0.3, 'eval_loss': 0.9},
        },
    ]					)
class       SCREAMING_SNAKE_CASE__					(					unittest.TestCase					):


						def   __lowercase (							self				:			Tuple					):
										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=lowerCAmelCase						,						)
										assert hasattr(self						,						"""env"""					)


						def   __lowercase (							self				:			Union[str, Any]						,						lowerCAmelCase				:			Optional[int]=1					):
										# 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}-single'''						,						instance_count=lowerCAmelCase						,						instance_type=self.instance_type						,						debugger_hook_config=lowerCAmelCase						,						hyperparameters={**self.env.hyperparameters, """model_name_or_path""": self.model_name_or_path}						,						metric_definitions=self.env.metric_definitions						,						py_version="""py36"""						,						)


						def   __lowercase (							self				:			Tuple						,						lowerCAmelCase				:			str					):
										TrainingJobAnalytics(lowerCAmelCase					).export_csv(f'''{self.env.test_path}/{job_name}_metrics.csv'''					)




						def   __lowercase (							self				:			Tuple					):
										# create estimator
										lowerCAmelCase  =				self.create_estimator()

										# run training
										estimator.fit()

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

										# extract kpis
										lowerCAmelCase  =				list(result_metrics_df[result_metrics_df.metric_name == """eval_accuracy"""]["""value"""]					)
										lowerCAmelCase  =				list(result_metrics_df[result_metrics_df.metric_name == """eval_loss"""]["""value"""]					)
										# get train time from SageMaker job, this includes starting, preprocessing, stopping
										lowerCAmelCase  =				(
										    Session().describe_training_job(estimator.latest_training_job.name					).get("""TrainingTimeInSeconds"""						,						99_9999					)
										)

										# 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}						,						lowerCAmelCase					)











"""simple docstring"""







import os
import string
import sys


a      =							1 << 8

a      =							{
    'tab': ord('\t'),
    'newline': ord('\r'),
    'esc': 2_7,
    'up': 6_5 + ARROW_KEY_FLAG,
    'down': 6_6 + ARROW_KEY_FLAG,
    'right': 6_7 + ARROW_KEY_FLAG,
    'left': 6_8 + ARROW_KEY_FLAG,
    'mod_int': 9_1,
    'undefined': sys.maxsize,
    'interrupt': 3,
    'insert': 5_0,
    'delete': 5_1,
    'pg_up': 5_3,
    'pg_down': 5_4,
}

a      =							KEYMAP['up']
a      =							KEYMAP['left']

if sys.platform == "win32":
		a      =							[]
		a      =							{
		    b'\xe0H': KEYMAP['up'] - ARROW_KEY_FLAG,
		    b'\x00H': KEYMAP['up'] - ARROW_KEY_FLAG,
		    b'\xe0P': KEYMAP['down'] - ARROW_KEY_FLAG,
		    b'\x00P': KEYMAP['down'] - ARROW_KEY_FLAG,
		    b'\xe0M': KEYMAP['right'] - ARROW_KEY_FLAG,
		    b'\x00M': KEYMAP['right'] - ARROW_KEY_FLAG,
		    b'\xe0K': KEYMAP['left'] - ARROW_KEY_FLAG,
		    b'\x00K': KEYMAP['left'] - ARROW_KEY_FLAG,
		}

for i in range(1_0):
		a      =							ord(str(i))





def 							lowercase					()     ->  str:


				'''simple docstring'''






				if os.name == "nt":
								import msvcrt

								lowerCAmelCase  =				"""mbcs"""
								# Flush the keyboard buffer
								while msvcrt.kbhit():
												msvcrt.getch()
								if len(snake_case__ ) == 0:
												# Read the keystroke
												lowerCAmelCase  =				msvcrt.getch()

												# If it is a prefix char, get second part
												if ch in (b"\x00", b"\xe0"):
																lowerCAmelCase  =				ch + msvcrt.getch()
																# Translate actual Win chars to bullet char types
																try:
																				lowerCAmelCase  =				chr(WIN_KEYMAP[cha] )
																				WIN_CH_BUFFER.append(chr(KEYMAP["""mod_int"""] ) )
																				WIN_CH_BUFFER.append(snake_case__ )
																				if ord(snake_case__ ) in (
																				    KEYMAP["insert"] - 1 << 9,
																				    KEYMAP["delete"] - 1 << 9,
																				    KEYMAP["pg_up"] - 1 << 9,
																				    KEYMAP["pg_down"] - 1 << 9,
																				):
																								WIN_CH_BUFFER.append(chr(126 ) )
																				lowerCAmelCase  =				chr(KEYMAP["""esc"""] )
																except KeyError:
																				lowerCAmelCase  =				cha[1]
												else:
																lowerCAmelCase  =				ch.decode(snake_case__ )
								else:
												lowerCAmelCase  =				WIN_CH_BUFFER.pop(0 )
				elif os.name == "posix":
								import termios
								import tty

								lowerCAmelCase  =				sys.stdin.fileno()
								lowerCAmelCase  =				termios.tcgetattr(snake_case__ )
								try:
												tty.setraw(snake_case__ )
												lowerCAmelCase  =				sys.stdin.read(1 )
								finally:
												termios.tcsetattr(snake_case__      ,       termios.TCSADRAIN      ,       snake_case__ )
				return ch






def 							lowercase					()     ->  List[str]:


				'''simple docstring'''






				lowerCAmelCase  =				get_raw_chars()
				if ord(snake_case__ ) in [KEYMAP["interrupt"], KEYMAP["newline"]]:
								return char

				elif ord(snake_case__ ) == KEYMAP["esc"]:
								lowerCAmelCase  =				get_raw_chars()
								if ord(snake_case__ ) == KEYMAP["mod_int"]:
												lowerCAmelCase  =				get_raw_chars()
												if ord(snake_case__ ) >= KEYMAP["arrow_begin"] - ARROW_KEY_FLAG and ord(snake_case__ ) <= KEYMAP["arrow_end"] - ARROW_KEY_FLAG:
																return chr(ord(snake_case__ ) + ARROW_KEY_FLAG )
												else:
																return KEYMAP["undefined"]
								else:
												return get_raw_chars()

				else:
								if char in string.printable:
												return char
								else:
												return KEYMAP["undefined"]





