




'''simple docstring'''





import ast
import os
import re
import shutil
import tempfile
import unittest
from unittest import mock

import torch

from accelerate.test_utils.examples import compare_against_test
from accelerate.test_utils.testing import TempDirTestCase, require_trackers, run_command, slow
from accelerate.utils import write_basic_config


# DataLoaders built from `test_samples/MRPC` for quick testing
# Should mock `{script_name}.get_dataloaders` via:
# @mock.patch("{script_name}.get_dataloaders", mocked_dataloaders)

UpperCAmelCase_						=[
    """cross_validation.py""",
    """gradient_accumulation.py""",
    """local_sgd.py""",
    """multi_process_metrics.py""",
    """memory.py""",
    """automatic_gradient_accumulation.py""",
    """fsdp_with_peak_mem_tracking.py""",
    """deepspeed_with_config_support.py""",
    """megatron_lm_gpt_pretraining.py""",
]


class 							__UpperCamelCase			( unittest.TestCase  ):





				'''simple docstring'''



				def       __snake_case		( self       , UpperCAmelCase_       , UpperCAmelCase_       , UpperCAmelCase_ = None       , UpperCAmelCase_ = None						):
											lowerCAmelCase   =		None
											lowerCAmelCase   =		os.path.abspath(os.path.join('''examples'''       , '''by_feature'''						)						)
											lowerCAmelCase   =		os.path.abspath('''examples'''						)
											for item in os.listdir(UpperCAmelCase_						):
																		if item not in EXCLUDE_EXAMPLES:
																									lowerCAmelCase   =		os.path.join(UpperCAmelCase_       , UpperCAmelCase_						)
																									if os.path.isfile(UpperCAmelCase_						) and ".py" in item_path:
																																with self.subTest(
																																    tested_script=UpperCAmelCase_       , feature_script=UpperCAmelCase_       , tested_section='''main()''' if parser_only else '''training_function()'''       , ):
																																							lowerCAmelCase   =		compare_against_test(
																																							    os.path.join(UpperCAmelCase_       , UpperCAmelCase_						)       , UpperCAmelCase_       , UpperCAmelCase_       , UpperCAmelCase_						)
																																							lowerCAmelCase   =		'''\n'''.join(UpperCAmelCase_						)
																																							if special_strings is not None:
																																														for string in special_strings:
																																																					lowerCAmelCase   =		diff.replace(UpperCAmelCase_       , ''''''						)
																																							self.assertEqual(UpperCAmelCase_       , ''''''						)



				def       __snake_case		( self						):
											self.one_complete_example('''complete_nlp_example.py'''       , UpperCAmelCase_						)
											self.one_complete_example('''complete_nlp_example.py'''       , UpperCAmelCase_						)






				def       __snake_case		( self						):
											lowerCAmelCase   =		os.path.abspath(os.path.join('''examples'''       , '''cv_example.py'''						)						)
											lowerCAmelCase   =		[
											    ''' ''' * 16 + '''{\n\n''',
											    ''' ''' * 20 + '''"accuracy": eval_metric["accuracy"],\n\n''',
											    ''' ''' * 20 + '''"f1": eval_metric["f1"],\n\n''',
											    ''' ''' * 20 + '''"train_loss": total_loss.item() / len(train_dataloader),\n\n''',
											    ''' ''' * 20 + '''"epoch": epoch,\n\n''',
											    ''' ''' * 16 + '''},\n\n''',
											    ''' ''' * 16 + '''step=epoch,\n''',
											    ''' ''' * 12,
											    ''' ''' * 8 + '''for step, batch in enumerate(active_dataloader):\n''',
											]
											self.one_complete_example('''complete_cv_example.py'''       , UpperCAmelCase_       , UpperCAmelCase_       , UpperCAmelCase_						)
											self.one_complete_example('''complete_cv_example.py'''       , UpperCAmelCase_       , UpperCAmelCase_       , UpperCAmelCase_						)




@mock.patch.dict(os.environ     ,					{"""TESTING_MOCKED_DATALOADERS""": """1"""}  )
class 							__UpperCamelCase			( __UpperCAmelCase  ):





				'''simple docstring'''



				__a							: List[Any]										=False



				@classmethod
				def       __snake_case		( cls						):
											super().setUpClass()
											lowerCAmelCase   =		tempfile.mkdtemp()
											lowerCAmelCase   =		os.path.join(cls._tmpdir       , '''default_config.yml'''						)

											write_basic_config(save_location=cls.configPath						)
											lowerCAmelCase   =		['''accelerate''', '''launch''', '''--config_file''', cls.configPath]



				@classmethod
				def       __snake_case		( cls						):
											super().tearDownClass()
											shutil.rmtree(cls._tmpdir						)



				def       __snake_case		( self						):
											lowerCAmelCase   =		F"""
        examples/by_feature/checkpointing.py
        --checkpointing_steps epoch
        --output_dir {self.tmpdir}
        """.split()
											run_command(self._launch_args + testargs						)
											self.assertTrue(os.path.exists(os.path.join(self.tmpdir       , '''epoch_0'''						)						)						)



				def       __snake_case		( self						):
											lowerCAmelCase   =		F"""
        examples/by_feature/checkpointing.py
        --checkpointing_steps 1
        --output_dir {self.tmpdir}
        """.split()
											lowerCAmelCase   =		run_command(self._launch_args + testargs						)
											self.assertTrue(os.path.exists(os.path.join(self.tmpdir       , '''step_2'''						)						)						)



				def       __snake_case		( self						):
											lowerCAmelCase   =		F"""
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir       , "epoch_0"						)}
        """.split()
											lowerCAmelCase   =		run_command(self._launch_args + testargs       , return_stdout=UpperCAmelCase_						)
											self.assertNotIn('''epoch 0:'''       , UpperCAmelCase_						)
											self.assertIn('''epoch 1:'''       , UpperCAmelCase_						)



				def       __snake_case		( self						):
											lowerCAmelCase   =		F"""
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir       , "step_2"						)}
        """.split()
											lowerCAmelCase   =		run_command(self._launch_args + testargs       , return_stdout=UpperCAmelCase_						)
											if torch.cuda.is_available():
																		lowerCAmelCase   =		torch.cuda.device_count()
											else:
																		lowerCAmelCase   =		1
											if num_processes > 1:
																		self.assertNotIn('''epoch 0:'''       , UpperCAmelCase_						)
																		self.assertIn('''epoch 1:'''       , UpperCAmelCase_						)
											else:
																		self.assertIn('''epoch 0:'''       , UpperCAmelCase_						)
																		self.assertIn('''epoch 1:'''       , UpperCAmelCase_						)



				@slow
				def       __snake_case		( self						):
											lowerCAmelCase   =		'''
        examples/by_feature/cross_validation.py
        --num_folds 2
        '''.split()
											with mock.patch.dict(os.environ       , {'''TESTING_MOCKED_DATALOADERS''': '''0'''}						):
																		lowerCAmelCase   =		run_command(self._launch_args + testargs       , return_stdout=UpperCAmelCase_						)
																		lowerCAmelCase   =		re.findall('''({.+})'''       , UpperCAmelCase_						)
																		lowerCAmelCase   =		[r for r in results if '''accuracy''' in r][-1]
																		lowerCAmelCase   =		ast.literal_eval(UpperCAmelCase_						)
																		self.assertGreaterEqual(results['''accuracy''']       , 0.75						)



				def       __snake_case		( self						):
											lowerCAmelCase   =		['''examples/by_feature/multi_process_metrics.py''']
											run_command(self._launch_args + testargs						)



				@require_trackers
				@mock.patch.dict(os.environ       , {'''WANDB_MODE''': '''offline'''}						)
				def       __snake_case		( self						):




											with tempfile.TemporaryDirectory() as tmpdir:
																		lowerCAmelCase   =		F"""
            examples/by_feature/tracking.py
            --with_tracking
            --project_dir {tmpdir}
            """.split()
																		run_command(self._launch_args + testargs						)
																		self.assertTrue(os.path.exists(os.path.join(UpperCAmelCase_       , '''tracking'''						)						)						)



				def       __snake_case		( self						):
											lowerCAmelCase   =		['''examples/by_feature/gradient_accumulation.py''']
											run_command(self._launch_args + testargs						)






				def       __snake_case		( self						):
											lowerCAmelCase   =		['''examples/by_feature/local_sgd.py''']
											run_command(self._launch_args + testargs						)









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_						={
    """configuration_jukebox""": [
        """JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """JukeboxConfig""",
        """JukeboxPriorConfig""",
        """JukeboxVQVAEConfig""",
    ],
    """tokenization_jukebox""": ["""JukeboxTokenizer"""],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase_						=[
		    """JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """JukeboxModel""",
		    """JukeboxPreTrainedModel""",
		    """JukeboxVQVAE""",
		    """JukeboxPrior""",
		]

if TYPE_CHECKING:
		from .configuration_jukebox import (
		    JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    JukeboxConfig,
		    JukeboxPriorConfig,
		    JukeboxVQVAEConfig,
		)
		from .tokenization_jukebox import JukeboxTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_jukebox import (
				    JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
				    JukeboxModel,
				    JukeboxPreTrainedModel,
				    JukeboxPrior,
				    JukeboxVQVAE,
				)

else:
		import sys

		UpperCAmelCase_						=_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



