

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     a__  (    unittest.TestCase	):
			"""simple docstring"""







			def    UpperCamelCase						(			self					,					lowercase					,					lowercase					,					lowercase = None					,					lowercase = None				)     ->  Optional[Any]:
							'''simple docstring'''






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


			def    UpperCamelCase						(			self				)     ->  List[Any]:
							'''simple docstring'''






							self.one_complete_example("complete_nlp_example.py"					,					lowercase				)
							self.one_complete_example("complete_nlp_example.py"					,					lowercase				)


			def    UpperCamelCase						(			self				)     ->  int:
							'''simple docstring'''






							A__						=	os.path.abspath(os.path.join("examples"					,					"cv_example.py"				)				)
							A__						=	[
							    " " * 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"					,					lowercase					,					lowercase					,					lowercase				)
							self.one_complete_example("complete_cv_example.py"					,					lowercase					,					lowercase					,					lowercase				)

@mock.patch.dict(os.environ							,		{'TESTING_MOCKED_DATALOADERS': '1'}	)
class     a__  (    lowercase_	):
			"""simple docstring"""







			__lowerCamelCase       				=				False


			@classmethod
			def    UpperCamelCase						(			cls				)     ->  Union[str, Any]:
							'''simple docstring'''






							super().setUpClass()
							A__						=	tempfile.mkdtemp()
							A__						=	os.path.join(cls._tmpdir					,					"default_config.yml"				)

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


			@classmethod
			def    UpperCamelCase						(			cls				)     ->  int:
							'''simple docstring'''






							super().tearDownClass()
							shutil.rmtree(cls._tmpdir				)


			def    UpperCamelCase						(			self				)     ->  Optional[Any]:
							'''simple docstring'''






							A__						=	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				)     ->  Optional[Any]:
							'''simple docstring'''






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


			def    UpperCamelCase						(			self				)     ->  List[str]:
							'''simple docstring'''






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


			def    UpperCamelCase						(			self				)     ->  Union[str, Any]:
							'''simple docstring'''






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


			@slow
			def    UpperCamelCase						(			self				)     ->  Dict:
							'''simple docstring'''






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


			def    UpperCamelCase						(			self				)     ->  Tuple:
							'''simple docstring'''






							A__						=	["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				)     ->  Optional[int]:
							'''simple docstring'''






							with tempfile.TemporaryDirectory() as tmpdir:
											A__						=	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(lowercase					,					"tracking"				)				)				)


			def    UpperCamelCase						(			self				)     ->  Dict:
							'''simple docstring'''






							A__						=	["examples/by_feature/gradient_accumulation.py"]
							run_command(self._launch_args + testargs				)


			def    UpperCamelCase						(			self				)     ->  Union[str, Any]:
							'''simple docstring'''






							A__						=	["examples/by_feature/local_sgd.py"]
							run_command(self._launch_args + testargs				)




from typing import Dict, List, Optional

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_UpperCAmelCase		:   Any										=       logging.get_logger(__name__)


_UpperCAmelCase		:   Dict										=       {
    """nielsr/canine-s""": 2048,
}

# Unicode defines 1,114,112 total “codepoints”
_UpperCAmelCase		:   Tuple										=       111_4112

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
_UpperCAmelCase		:   List[str]										=       0

_UpperCAmelCase		:   Any										=       0xE000
_UpperCAmelCase		:   Dict										=       0xE001
_UpperCAmelCase		:   Optional[int]										=       0xE002
_UpperCAmelCase		:   Tuple										=       0xE003
_UpperCAmelCase		:   Tuple										=       0xE004

# Maps special codepoints to human-readable names.
_UpperCAmelCase		:   Dict[int, str]										=       {
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
_UpperCAmelCase		:   Dict[str, int]										=       {name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}







class  lowercase				(       lowercase_			):
				__SCREAMING_SNAKE_CASE					: str       			=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




				def __init__(					self      ,   snake_case=chr(snake_case       )      ,   snake_case=chr(snake_case       )      ,   snake_case=chr(snake_case       )      ,   snake_case=chr(snake_case       )      ,   snake_case=chr(snake_case       )      ,   snake_case=chr(snake_case       )      ,   snake_case=False      ,   snake_case=2048      ,   **snake_case      ,   ):
											snake_case_							=    AddedToken(snake_case      ,   lstrip=snake_case      ,   rstrip=snake_case       ) if isinstance(snake_case      ,   snake_case       ) else bos_token
											snake_case_							=    AddedToken(snake_case      ,   lstrip=snake_case      ,   rstrip=snake_case       ) if isinstance(snake_case      ,   snake_case       ) else eos_token
											snake_case_							=    AddedToken(snake_case      ,   lstrip=snake_case      ,   rstrip=snake_case       ) if isinstance(snake_case      ,   snake_case       ) else sep_token
											snake_case_							=    AddedToken(snake_case      ,   lstrip=snake_case      ,   rstrip=snake_case       ) if isinstance(snake_case      ,   snake_case       ) else cls_token
											snake_case_							=    AddedToken(snake_case      ,   lstrip=snake_case      ,   rstrip=snake_case       ) if isinstance(snake_case      ,   snake_case       ) else pad_token

											# Mask token behave like a normal word, i.e. include the space before it
											snake_case_							=    AddedToken(snake_case      ,   lstrip=snake_case      ,   rstrip=snake_case       ) if isinstance(snake_case      ,   snake_case       ) else mask_token

											super().__init__(
											    bos_token=snake_case      ,   eos_token=snake_case      ,   sep_token=snake_case      ,   cls_token=snake_case      ,   pad_token=snake_case      ,   mask_token=snake_case      ,   add_prefix_space=snake_case      ,   model_max_length=snake_case      ,   **snake_case      ,   )

											# Creates a mapping for looking up the IDs of special symbols.
											snake_case_							=    {}
											for codepoint, name in SPECIAL_CODEPOINTS.items():
																		snake_case_							=    codepoint

											# Creates a mapping for looking up the string forms of special symbol IDs.
											snake_case_							=    {
											    codepoint: name for name, codepoint in self._special_codepoints.items()
											}

											snake_case_							=    UNICODE_VOCAB_SIZE
											snake_case_							=    len(self._special_codepoints       )




				@property
				def     a							(					self       ):
											return self._unicode_vocab_size




				def     a							(					self      ,   snake_case       ):
											return list(snake_case       )




				def     a							(					self      ,   snake_case       ):
											try:
																		return ord(snake_case       )
											except TypeError:
																		raise ValueError(F'''invalid token: \'{token}\''''       )




				def     a							(					self      ,   snake_case       ):
											try:
																		if index in SPECIAL_CODEPOINTS:
																									return SPECIAL_CODEPOINTS[index]
																		return chr(snake_case       )
											except TypeError:
																		raise ValueError(F'''invalid id: {index}'''       )




				def     a							(					self      ,   snake_case       ):
											return "".join(snake_case       )




				def     a							(					self      ,   snake_case      ,   snake_case = None       ):
											snake_case_							=    [self.sep_token_id]
											snake_case_							=    [self.cls_token_id]

											snake_case_							=    cls + token_ids_a + sep
											if token_ids_a is not None:
																		result += token_ids_a + sep
											return result




				def     a							(					self      ,   snake_case      ,   snake_case = None      ,   snake_case = False       ):
											if already_has_special_tokens:
																		return super().get_special_tokens_mask(
																		    token_ids_a=snake_case      ,   token_ids_a=snake_case      ,   already_has_special_tokens=snake_case       )

											snake_case_							=    [1] + ([0] * len(snake_case       )) + [1]
											if token_ids_a is not None:
																		result += ([0] * len(snake_case       )) + [1]
											return result




				def     a							(					self      ,   snake_case      ,   snake_case = None       ):
											snake_case_							=    [self.sep_token_id]
											snake_case_							=    [self.cls_token_id]

											snake_case_							=    len(cls + token_ids_a + sep       ) * [0]
											if token_ids_a is not None:
																		result += len(token_ids_a + sep       ) * [1]
											return result




				def     a							(					self      ,   snake_case      ,   snake_case = None       ):
											return ()




