

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)

lowerCAmelCase__       = [
    "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 						__magic_name__    (       unittest.TestCase    ):


	def _UpperCamelCase	(						self		: Union[str, Any]			,						lowerCAmelCase__		: str			,						lowerCAmelCase__		: bool			,						lowerCAmelCase__		: str = None			,						lowerCAmelCase__		: list = None    )    ->      List[Any]:
			UpperCAmelCase					      =  None
			UpperCAmelCase					      =  os.path.abspath(os.path.join("examples"			,						"by_feature"    )    )
			UpperCAmelCase					      =  os.path.abspath("examples"    )
			for item in os.listdir(lowerCAmelCase__    ):
					if item not in EXCLUDE_EXAMPLES:
							UpperCAmelCase					      =  os.path.join(lowerCAmelCase__			,						lowerCAmelCase__    )
							if os.path.isfile(lowerCAmelCase__    ) and ".py" in item_path:
									with self.subTest(
									    tested_script=lowerCAmelCase__			,						feature_script=lowerCAmelCase__			,						tested_section="main()" if parser_only else "training_function()"			,						):
											UpperCAmelCase					      =  compare_against_test(
											    os.path.join(lowerCAmelCase__			,						lowerCAmelCase__    )			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__    )
											UpperCAmelCase					      =  "\n".join(lowerCAmelCase__    )
											if special_strings is not None:
													for string in special_strings:
															UpperCAmelCase					      =  diff.replace(lowerCAmelCase__			,						""    )
											self.assertEqual(lowerCAmelCase__			,						""    )


	def _UpperCamelCase	(						self		: str    )    ->      Dict:
			self.one_complete_example("complete_nlp_example.py"			,						lowerCAmelCase__    )
			self.one_complete_example("complete_nlp_example.py"			,						lowerCAmelCase__    )


	def _UpperCamelCase	(						self		: List[str]    )    ->      Optional[int]:
			UpperCAmelCase					      =  os.path.abspath(os.path.join("examples"			,						"cv_example.py"    )    )
			UpperCAmelCase					      =  [
			    " " * 1_6 + "{\n\n",
			    " " * 2_0 + "\"accuracy\": eval_metric[\"accuracy\"],\n\n",
			    " " * 2_0 + "\"f1\": eval_metric[\"f1\"],\n\n",
			    " " * 2_0 + "\"train_loss\": total_loss.item() / len(train_dataloader),\n\n",
			    " " * 2_0 + "\"epoch\": epoch,\n\n",
			    " " * 1_6 + "},\n\n",
			    " " * 1_6 + "step=epoch,\n",
			    " " * 1_2,
			    " " * 8 + "for step, batch in enumerate(active_dataloader):\n",
			]
			self.one_complete_example("complete_cv_example.py"			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__    )
			self.one_complete_example("complete_cv_example.py"			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__    )






@mock.patch.dict(os.environ	,						{"""TESTING_MOCKED_DATALOADERS""": """1"""}    )
class 						__magic_name__    (       _snake_case    ):
	UpperCAmelCase							    =						False


	@classmethod
	def _UpperCamelCase	(						cls		: int    )    ->      Optional[Any]:
			super().setUpClass()
			UpperCAmelCase					      =  tempfile.mkdtemp()
			UpperCAmelCase					      =  os.path.join(cls._tmpdir			,						"default_config.yml"    )

			write_basic_config(save_location=cls.configPath    )
			UpperCAmelCase					      =  ["accelerate", "launch", "--config_file", cls.configPath]


	@classmethod
	def _UpperCamelCase	(						cls		: Optional[Any]    )    ->      str:
			super().tearDownClass()
			shutil.rmtree(cls._tmpdir    )


	def _UpperCamelCase	(						self		: List[Any]    )    ->      Optional[Any]:
			UpperCAmelCase					      =  f"\n        examples/by_feature/checkpointing.py\n        --checkpointing_steps epoch\n        --output_dir {self.tmpdir}\n        ".split()
			run_command(self._launch_args + testargs    )
			self.assertTrue(os.path.exists(os.path.join(self.tmpdir			,						"epoch_0"    )    )    )


	def _UpperCamelCase	(						self		: str    )    ->      Optional[int]:
			UpperCAmelCase					      =  f"\n        examples/by_feature/checkpointing.py\n        --checkpointing_steps 1\n        --output_dir {self.tmpdir}\n        ".split()
			UpperCAmelCase					      =  run_command(self._launch_args + testargs    )
			self.assertTrue(os.path.exists(os.path.join(self.tmpdir			,						"step_2"    )    )    )


	def _UpperCamelCase	(						self		: str    )    ->      Optional[int]:
			UpperCAmelCase					      =  f"\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir			,						'epoch_0'    )}\n        ".split()
			UpperCAmelCase					      =  run_command(self._launch_args + testargs			,						return_stdout=lowerCAmelCase__    )
			self.assertNotIn("epoch 0:"			,						lowerCAmelCase__    )
			self.assertIn("epoch 1:"			,						lowerCAmelCase__    )


	def _UpperCamelCase	(						self		: List[str]    )    ->      Optional[int]:
			UpperCAmelCase					      =  f"\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir			,						'step_2'    )}\n        ".split()
			UpperCAmelCase					      =  run_command(self._launch_args + testargs			,						return_stdout=lowerCAmelCase__    )
			if torch.cuda.is_available():
					UpperCAmelCase					      =  torch.cuda.device_count()
			else:
					UpperCAmelCase					      =  1
			if num_processes > 1:
					self.assertNotIn("epoch 0:"			,						lowerCAmelCase__    )
					self.assertIn("epoch 1:"			,						lowerCAmelCase__    )
			else:
					self.assertIn("epoch 0:"			,						lowerCAmelCase__    )
					self.assertIn("epoch 1:"			,						lowerCAmelCase__    )


	@slow
	def _UpperCamelCase	(						self		: str    )    ->      Dict:
			UpperCAmelCase					      =  "\n        examples/by_feature/cross_validation.py\n        --num_folds 2\n        ".split()
			with mock.patch.dict(os.environ			,						{"TESTING_MOCKED_DATALOADERS": "0"}    ):
					UpperCAmelCase					      =  run_command(self._launch_args + testargs			,						return_stdout=lowerCAmelCase__    )
					UpperCAmelCase					      =  re.findall("({.+})"			,						lowerCAmelCase__    )
					UpperCAmelCase					      =  [r for r in results if "accuracy" in r][-1]
					UpperCAmelCase					      =  ast.literal_eval(lowerCAmelCase__    )
					self.assertGreaterEqual(results["accuracy"]			,						0.75    )


	def _UpperCamelCase	(						self		: List[str]    )    ->      Any:
			UpperCAmelCase					      =  ["examples/by_feature/multi_process_metrics.py"]
			run_command(self._launch_args + testargs    )


	@require_trackers
	@mock.patch.dict(os.environ			,						{"WANDB_MODE": "offline"}    )
	def _UpperCamelCase	(						self		: Tuple    )    ->      Union[str, Any]:
			with tempfile.TemporaryDirectory() as tmpdir:
					UpperCAmelCase					      =  f"\n            examples/by_feature/tracking.py\n            --with_tracking\n            --project_dir {tmpdir}\n            ".split()
					run_command(self._launch_args + testargs    )
					self.assertTrue(os.path.exists(os.path.join(lowerCAmelCase__			,						"tracking"    )    )    )


	def _UpperCamelCase	(						self		: Optional[Any]    )    ->      Tuple:
			UpperCAmelCase					      =  ["examples/by_feature/gradient_accumulation.py"]
			run_command(self._launch_args + testargs    )


	def _UpperCamelCase	(						self		: List[Any]    )    ->      int:
			UpperCAmelCase					      =  ["examples/by_feature/local_sgd.py"]
			run_command(self._launch_args + testargs    )






import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
lowerCAmelCase__       = "src/diffusers"

# Matches is_xxx_available()
lowerCAmelCase__       = re.compile(r"is\_([a-z_]*)_available\(\)")
# Matches from xxx import bla
lowerCAmelCase__       = re.compile(r"\s+from\s+\S*\s+import\s+([^\(\s].*)\n")


lowerCAmelCase__       = "\n{0} = None\n"

lowerCAmelCase__       = "\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, {1})\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, {1})\n"


lowerCAmelCase__       = "\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n"
def      _lowerCAmelCase(	__A			):
  UpperCAmelCase					      =  _re_backend.findall(__A			)
  if len(__A			) == 0:
    return None

  return "_and_".join(__A			)
def      _lowerCAmelCase(	):
  with open(os.path.join(__A   ,       "__init__.py"			)   ,       "r"   ,       encoding="utf-8"   ,       newline="\n"			) as f:
    UpperCAmelCase					      =  f.readlines()

  # Get to the point we do the actual imports for type checking
  UpperCAmelCase					      =  0
  UpperCAmelCase					      =  {}
  # Go through the end of the file
  while line_index < len(__A			):
    # If the line contains is_backend_available, we grab all objects associated with the `else` block
    UpperCAmelCase					      =  find_backend(lines[line_index]			)
    if backend is not None:
      while not lines[line_index].startswith("else:"			):
        line_index += 1
      line_index += 1
      UpperCAmelCase					      =  []
      # Until we unindent, add backend objects to the list
      while line_index < len(__A			) and len(lines[line_index]			) > 1:
        UpperCAmelCase					      =  lines[line_index]
        UpperCAmelCase					      =  _re_single_line_import.search(__A			)
        if single_line_import_search is not None:
          objects.extend(single_line_import_search.groups()[0].split(", "			)			)
        elif line.startswith(" " * 8			):
          objects.append(line[8:-2]			)
        line_index += 1

      if len(__A			) > 0:
        UpperCAmelCase					      =  objects
    else:
      line_index += 1

  return backend_specific_objects
def      _lowerCAmelCase(	__A   ,       __A			):
  if name.isupper():
    return DUMMY_CONSTANT.format(__A			)
  elif name.islower():
    return DUMMY_FUNCTION.format(__A   ,       __A			)
  else:
    return DUMMY_CLASS.format(__A   ,       __A			)
def      _lowerCAmelCase(	__A=None			):
  if backend_specific_objects is None:
    UpperCAmelCase					      =  read_init()
  # For special correspondence backend to module name as used in the function requires_modulename
  UpperCAmelCase					      =  {}

  for backend, objects in backend_specific_objects.items():
    UpperCAmelCase					      =  "[" + ", ".join(F"\"{b}\"" for b in backend.split("_and_"			)			) + "]"
    UpperCAmelCase					      =  "# This file is autogenerated by the command `make fix-copies`, do not edit.\n"
    dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
    dummy_file += "\n".join([create_dummy_object(__A   ,       __A			) for o in objects]			)
    UpperCAmelCase					      =  dummy_file

  return dummy_files
def      _lowerCAmelCase(	__A=False			):
  UpperCAmelCase					      =  create_dummy_files()
  # For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
  UpperCAmelCase					      =  {"torch": "pt"}

  # Locate actual dummy modules and read their content.
  UpperCAmelCase					      =  os.path.join(__A   ,       "utils"			)
  UpperCAmelCase					      =  {
      backend: os.path.join(__A   ,       F"dummy_{short_names.get(__A   ,       __A			)}_objects.py"			)
      for backend in dummy_files.keys()
  }

  UpperCAmelCase					      =  {}
  for backend, file_path in dummy_file_paths.items():
    if os.path.isfile(__A			):
      with open(__A   ,       "r"   ,       encoding="utf-8"   ,       newline="\n"			) as f:
        UpperCAmelCase					      =  f.read()
    else:
      UpperCAmelCase					      =  ""

  for backend in dummy_files.keys():
    if dummy_files[backend] != actual_dummies[backend]:
      if overwrite:
        print(
            F"Updating diffusers.utils.dummy_{short_names.get(__A   ,       __A			)}_objects.py as the main "
            "__init__ has new objects."			)
        with open(dummy_file_paths[backend]   ,       "w"   ,       encoding="utf-8"   ,       newline="\n"			) as f:
          f.write(dummy_files[backend]			)
      else:
        raise ValueError(
            "The main __init__ has objects that are not present in "
            F"diffusers.utils.dummy_{short_names.get(__A   ,       __A			)}_objects.py. Run `make fix-copies` "
            "to fix this."			)


if __name__ == "__main__":
      lowerCAmelCase__       = argparse.ArgumentParser()
      parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
      lowerCAmelCase__       = parser.parse_args()

      check_dummies(args.fix_and_overwrite)



