
"""simple docstring"""




import inspect
import os
import unittest
from pathlib import Path

import torch

import accelerate
from accelerate.test_utils import execute_subprocess_async
from accelerate.test_utils.testing import run_command

class     _UpperCamelCase			(   unittest.TestCase					):






			'''simple docstring'''

			__UpperCamelCase :  Any    =	inspect.getfile(accelerate.test_utils					)
			__UpperCamelCase :  str    =	os.path.sep.join(mod_file.split(os.path.sep					)[:-1] + ["""scripts""", """test_cli.py"""]					)

			__UpperCamelCase :  Union[str, Any]    =	["""accelerate""", """launch"""]
			__UpperCamelCase :  Any    =	Path.home() / """.cache/huggingface/accelerate"""
			__UpperCamelCase :  Optional[Any]    =	"""default_config.yaml"""
			__UpperCamelCase :  Dict    =	config_folder / config_file
			__UpperCamelCase :  Tuple    =	config_folder / """_default_config.yaml"""

			__UpperCamelCase :  Tuple    =	Path("""tests/test_configs"""					)

			@classmethod
			def  lowerCAmelCase__		(    cls	:    Optional[int] ):
							if cls.config_path.is_file():
											cls.config_path.rename(cls.changed_path )

			@classmethod
			def  lowerCAmelCase__		(    cls	:    Any ):
							if cls.changed_path.is_file():
											cls.changed_path.rename(cls.config_path )

			def  lowerCAmelCase__		(    self	:    int ):
							UpperCamelCase_:							List[Any]		=  self.base_cmd
							if torch.cuda.is_available() and (torch.cuda.device_count() > 1):
											cmd += ["--multi_gpu"]
							execute_subprocess_async(cmd + [self.test_file_path]  ,		env=os.environ.copy() )

			def  lowerCAmelCase__		(    self	:    int ):
							for config in sorted(self.test_config_path.glob("""**/*.yaml""" ) ):
											with self.subTest(config_file=snake_case_ ):
															execute_subprocess_async(
															    self.base_cmd + ["""--config_file""", str(snake_case_ ), self.test_file_path]  ,		env=os.environ.copy() )




			def  lowerCAmelCase__		(    self	:    int ):
							execute_subprocess_async(["""accelerate""", """test"""]  ,		env=os.environ.copy() )




class     _UpperCamelCase			(   unittest.TestCase					):






			'''simple docstring'''

			__UpperCamelCase :  Dict    =	"""test-tpu"""
			__UpperCamelCase :  str    =	"""us-central1-a"""
			__UpperCamelCase :  Tuple    =	"""ls"""
			__UpperCamelCase :  List[Any]    =	["""accelerate""", """tpu-config"""]
			__UpperCamelCase :  str    =	"""cd /usr/share"""
			__UpperCamelCase :  Any    =	"""tests/test_samples/test_command_file.sh"""
			__UpperCamelCase :  Any    =	"""Running gcloud compute tpus tpu-vm ssh"""

			def  lowerCAmelCase__		(    self	:    int ):
							UpperCamelCase_:							Tuple		=  run_command(
							    self.cmd
							    + ["""--command""", self.command, """--tpu_zone""", self.tpu_zone, """--tpu_name""", self.tpu_name, """--debug"""]  ,		return_stdout=snake_case_  ,		)
							self.assertIn(
							    f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'''  ,		snake_case_  ,		)

			def  lowerCAmelCase__		(    self	:    Any ):
							UpperCamelCase_:							Any		=  run_command(
							    self.cmd
							    + [
							        """--config_file""",
							        """tests/test_configs/0_12_0.yaml""",
							        """--command""",
							        self.command,
							        """--tpu_zone""",
							        self.tpu_zone,
							        """--tpu_name""",
							        self.tpu_name,
							        """--debug""",
							    ]  ,		return_stdout=snake_case_  ,		)
							self.assertIn(
							    f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'''  ,		snake_case_  ,		)

			def  lowerCAmelCase__		(    self	:    Any ):
							UpperCamelCase_:							Union[str, Any]		=  run_command(
							    self.cmd + ["""--config_file""", """tests/test_configs/latest.yaml""", """--debug"""]  ,		return_stdout=snake_case_ )
							self.assertIn(
							    f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo "hello world"; echo "this is a second command" --worker all'''  ,		snake_case_  ,		)

			def  lowerCAmelCase__		(    self	:    List[str] ):
							UpperCamelCase_:							str		=  run_command(
							    self.cmd + ["""--config_file""", """tests/test_configs/latest.yaml""", """--command""", self.command, """--debug"""]  ,		return_stdout=snake_case_  ,		)
							self.assertIn(
							    f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'''  ,		snake_case_  ,		)

			def  lowerCAmelCase__		(    self	:    Tuple ):
							UpperCamelCase_:							int		=  run_command(
							    self.cmd
							    + [
							        """--config_file""",
							        """tests/test_configs/latest.yaml""",
							        """--command""",
							        self.command,
							        """--command""",
							        """echo \"Hello World\"""",
							        """--debug""",
							    ]  ,		return_stdout=snake_case_  ,		)
							self.assertIn(
							    f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls; echo "Hello World" --worker all'''  ,		snake_case_  ,		)

			def  lowerCAmelCase__		(    self	:    Optional[int] ):
							UpperCamelCase_:							Dict		=  run_command(
							    self.cmd
							    + ["""--config_file""", """tests/test_configs/latest.yaml""", """--command_file""", self.command_file, """--debug"""]  ,		return_stdout=snake_case_  ,		)
							self.assertIn(
							    f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo "hello world"; echo "this is a second command" --worker all'''  ,		snake_case_  ,		)

			def  lowerCAmelCase__		(    self	:    List[Any] ):
							UpperCamelCase_:							Optional[Any]		=  run_command(
							    self.cmd
							    + [
							        """--config_file""",
							        """tests/test_configs/0_12_0.yaml""",
							        """--command_file""",
							        self.command_file,
							        """--tpu_zone""",
							        self.tpu_zone,
							        """--tpu_name""",
							        self.tpu_name,
							        """--debug""",
							    ]  ,		return_stdout=snake_case_  ,		)
							self.assertIn(
							    f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo "hello world"; echo "this is a second command" --worker all'''  ,		snake_case_  ,		)

			def  lowerCAmelCase__		(    self	:    Dict ):
							UpperCamelCase_:							List[Any]		=  run_command(
							    self.cmd + ["""--config_file""", """tests/test_configs/latest.yaml""", """--install_accelerate""", """--debug"""]  ,		return_stdout=snake_case_  ,		)
							self.assertIn(
							    f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate -U; echo "hello world"; echo "this is a second command" --worker all'''  ,		snake_case_  ,		)




			def  lowerCAmelCase__		(    self	:    Any ):
							UpperCamelCase_:							Dict		=  run_command(
							    self.cmd
							    + [
							        """--config_file""",
							        """tests/test_configs/latest.yaml""",
							        """--install_accelerate""",
							        """--accelerate_version""",
							        """12.0.0""",
							        """--debug""",
							    ]  ,		return_stdout=snake_case_  ,		)
							self.assertIn(
							    f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate==12.0.0; echo "hello world"; echo "this is a second command" --worker all'''  ,		snake_case_  ,		)








import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


lowerCamelCase_  :	Any 				=					5_00_00
lowerCamelCase_  :	Any 				=					50_00

lowerCamelCase_				,    lowerCamelCase_  :	Tuple 				=					os.path.split(__file__)
lowerCamelCase_  :	int 				=					os.path.join(RESULTS_BASEPATH, """results""", RESULTS_FILENAME.replace(""".py""", """.json"""))







@get_duration
def     A__   (  lowerCamelCase       ,      lowerCamelCase  )					->		Tuple:
				for i in range(lowerCamelCase  ):
								UpperCamelCase_:							Dict		=  dataset[i]







@get_duration
def     A__   (  lowerCamelCase       ,      lowerCamelCase       ,      lowerCamelCase  )					->		Tuple:
				for i in range(0       ,      len(lowerCamelCase  )       ,      lowerCamelCase  ):
								UpperCamelCase_:							List[Any]		=  dataset[i : i + batch_size]







@get_duration
def     A__   (  lowerCamelCase       ,      lowerCamelCase       ,      lowerCamelCase  )					->		Any:
				with dataset.formatted_as(type=lowerCamelCase  ):
								for i in range(lowerCamelCase  ):
												UpperCamelCase_:							List[str]		=  dataset[i]







@get_duration
def     A__   (  lowerCamelCase       ,      lowerCamelCase       ,      lowerCamelCase       ,      lowerCamelCase  )					->		Optional[int]:
				with dataset.formatted_as(type=lowerCamelCase  ):
								for i in range(0       ,      lowerCamelCase       ,      lowerCamelCase  ):
												UpperCamelCase_:							Union[str, Any]		=  dataset[i : i + batch_size]







def     A__   (  )					->		Tuple:
				UpperCamelCase_:							int		=  {"""num examples""": SPEED_TEST_N_EXAMPLES}
				UpperCamelCase_:							Union[str, Any]		=  [
				    (read, {"""length""": SMALL_TEST}),
				    (read, {"""length""": SPEED_TEST_N_EXAMPLES}),
				    (read_batch, {"""length""": SPEED_TEST_N_EXAMPLES, """batch_size""": 10}),
				    (read_batch, {"""length""": SPEED_TEST_N_EXAMPLES, """batch_size""": 1_00}),
				    (read_batch, {"""length""": SPEED_TEST_N_EXAMPLES, """batch_size""": 10_00}),
				    (read_formatted, {"""type""": """numpy""", """length""": SMALL_TEST}),
				    (read_formatted, {"""type""": """pandas""", """length""": SMALL_TEST}),
				    (read_formatted, {"""type""": """torch""", """length""": SMALL_TEST}),
				    (read_formatted, {"""type""": """tensorflow""", """length""": SMALL_TEST}),
				    (read_formatted_batch, {"""type""": """numpy""", """length""": SMALL_TEST, """batch_size""": 10}),
				    (read_formatted_batch, {"""type""": """numpy""", """length""": SMALL_TEST, """batch_size""": 10_00}),
				]

				UpperCamelCase_:							Tuple		=  [
				    (read, {"""length""": SMALL_TEST}),
				    (read, {"""length""": SPEED_TEST_N_EXAMPLES}),
				    (read_batch, {"""length""": SPEED_TEST_N_EXAMPLES, """batch_size""": 10}),
				    (read_batch, {"""length""": SPEED_TEST_N_EXAMPLES, """batch_size""": 1_00}),
				    (read_batch, {"""length""": SPEED_TEST_N_EXAMPLES, """batch_size""": 10_00}),
				    (read_formatted, {"""type""": """numpy""", """length""": SMALL_TEST}),
				    (read_formatted_batch, {"""type""": """numpy""", """length""": SMALL_TEST, """batch_size""": 10}),
				    (read_formatted_batch, {"""type""": """numpy""", """length""": SMALL_TEST, """batch_size""": 10_00}),
				]
				with tempfile.TemporaryDirectory() as tmp_dir:
								print("""generating dataset"""  )
								UpperCamelCase_:							int		=  datasets.Features(
								    {"""list""": datasets.Sequence(datasets.Value("""float32"""  )  ), """numbers""": datasets.Value("""float32"""  )}  )
								UpperCamelCase_:							Optional[int]		=  generate_example_dataset(
								    os.path.join(lowerCamelCase       ,      """dataset.arrow"""  )       ,      lowerCamelCase       ,      num_examples=lowerCamelCase       ,      seq_shapes={"""list""": (1_00,)}       ,      )
								print("""first set of iterations"""  )
								for func, kwargs in functions:
												print(func.__name__       ,      str(lowerCamelCase  )  )
												UpperCamelCase_:							List[Any]		=  func(lowerCamelCase       ,      **lowerCamelCase  )

								print("""shuffling dataset"""  )
								UpperCamelCase_:							Dict		=  dataset.shuffle()
								print("""Second set of iterations (after shuffling"""  )
								for func, kwargs in functions_shuffled:
												print("""shuffled """       ,      func.__name__       ,      str(lowerCamelCase  )  )
												UpperCamelCase_:							List[Any]		=  func(
												    lowerCamelCase       ,      **lowerCamelCase  )

				with open(lowerCamelCase       ,      """wb"""  ) as f:
								f.write(json.dumps(lowerCamelCase  ).encode("""utf-8"""  )  )


if __name__ == "__main__":  # useful to run the profiler
							benchmark_iterating()






