






"""simple docstring"""
import logging
from pathlib import Path

import numpy as np
import pytorch_lightning as pl
import torch
from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
from pytorch_lightning.utilities import rank_zero_only
from utils_rag import save_json

def 							snake_case (  A__		):
			UpperCAmelCase_	:					Optional[int]     	=   filter(lambda A__		: p.requires_grad      ,model.parameters()		)
			UpperCAmelCase_	:					Optional[Any]     	=   sum([np.prod(p.size()		) for p in model_parameters]		)
			return params


lowerCamelCase_							      = logging.getLogger(__name__)

def 							snake_case (  A__      ,A__		):
			if metric == "rouge2":
						UpperCAmelCase_	:					int     	=   "{val_avg_rouge2:.4f}-{step_count}"
			elif metric == "bleu":
						UpperCAmelCase_	:					Optional[Any]     	=   "{val_avg_bleu:.4f}-{step_count}"
			elif metric == "em":
						UpperCAmelCase_	:					Tuple     	=   "{val_avg_em:.4f}-{step_count}"
			else:
						raise NotImplementedError(
						    F"""seq2seq callbacks only support rouge2 and bleu, got {metric}, You can make your own by adding to this"""
						    " function."		)

			UpperCAmelCase_	:					Dict     	=   ModelCheckpoint(
			    dirpath=A__      ,filename=A__      ,monitor=F"""val_{metric}"""      ,mode="max"      ,save_top_k=3      ,every_n_epochs=1      ,)
			return checkpoint_callback

def 							snake_case (  A__      ,A__		):
			return EarlyStopping(
			    monitor=F"""val_{metric}"""      ,mode="min" if "loss" in metric else "max"      ,patience=A__      ,verbose=A__      ,)







class      UpperCamelCase_			(pl.Callback	):





	def 	_SCREAMING_SNAKE_CASE ( self   :					Tuple      ,      lowerCAmelCase_   :					Dict      ,      lowerCAmelCase_   :					Dict		)		->     str:
				UpperCAmelCase_	:					Dict     	=   {f"""lr_group_{i}""": param["lr"] for i, param in enumerate(pl_module.trainer.optimizers[0].param_groups		)}
				pl_module.logger.log_metrics(lowerCAmelCase_		)





	@rank_zero_only
	def 	_SCREAMING_SNAKE_CASE ( self   :					Dict      ,      lowerCAmelCase_   :					pl.Trainer      ,      lowerCAmelCase_   :					pl.LightningModule      ,      lowerCAmelCase_   :					str      ,      lowerCAmelCase_   :					Dict=True		)		->     None:
				logger.info(f"""***** {type_path} results at step {trainer.global_step:05d} *****"""		)
				UpperCAmelCase_	:					Optional[Any]     	=   trainer.callback_metrics
				trainer.logger.log_metrics({k: v for k, v in metrics.items() if k not in ["log", "progress_bar", "preds"]}		)
				# Log results
				UpperCAmelCase_	:					int     	=   Path(pl_module.hparams.output_dir		)
				if type_path == "test":
							UpperCAmelCase_	:					List[str]     	=   od / "test_results.txt"
							UpperCAmelCase_	:					Any     	=   od / "test_generations.txt"
				else:
							# this never gets hit. I prefer not to save intermediate generations, and results are in metrics.json
							# If people want this it will be easy enough to add back.
							UpperCAmelCase_	:					Union[str, Any]     	=   od / f"""{type_path}_results/{trainer.global_step:05d}.txt"""
							UpperCAmelCase_	:					List[str]     	=   od / f"""{type_path}_generations/{trainer.global_step:05d}.txt"""
							results_file.parent.mkdir(exist_ok=lowerCAmelCase_		)
							generations_file.parent.mkdir(exist_ok=lowerCAmelCase_		)
				with open(lowerCAmelCase_      ,      "a+"		) as writer:
							for key in sorted(lowerCAmelCase_		):
										if key in ["log", "progress_bar", "preds"]:
													continue
										UpperCAmelCase_	:					Any     	=   metrics[key]
										if isinstance(lowerCAmelCase_      ,      torch.Tensor		):
													UpperCAmelCase_	:					Optional[Any]     	=   val.item()
										UpperCAmelCase_	:					str     	=   f"""{key}: {val:.6f}\n"""
										writer.write(lowerCAmelCase_		)

				if not save_generations:
							return

				if "preds" in metrics:
							UpperCAmelCase_	:					str     	=   "\n".join(metrics["preds"]		)
							generations_file.open("w+"		).write(lowerCAmelCase_		)





	@rank_zero_only
	def 	_SCREAMING_SNAKE_CASE ( self   :					Tuple      ,      lowerCAmelCase_   :					Any      ,      lowerCAmelCase_   :					List[str]		)		->     Dict:
				try:
							UpperCAmelCase_	:					Optional[Any]     	=   pl_module.model.model.num_parameters()
				except AttributeError:
							UpperCAmelCase_	:					Optional[Any]     	=   pl_module.model.num_parameters()

				UpperCAmelCase_	:					Tuple     	=   count_trainable_parameters(lowerCAmelCase_		)
				# mp stands for million parameters
				trainer.logger.log_metrics({"n_params": npars, "mp": npars / 1e6, "grad_mp": n_trainable_pars / 1e6}		)





	@rank_zero_only
	def 	_SCREAMING_SNAKE_CASE ( self   :					Tuple      ,      lowerCAmelCase_   :					pl.Trainer      ,      lowerCAmelCase_   :					pl.LightningModule		)		->     Optional[int]:
				save_json(pl_module.metrics      ,      pl_module.metrics_save_path		)
				return self._write_logs(lowerCAmelCase_      ,      lowerCAmelCase_      ,      "test"		)





	@rank_zero_only
	def 	_SCREAMING_SNAKE_CASE ( self   :					int      ,      lowerCAmelCase_   :					pl.Trainer      ,      lowerCAmelCase_   :					List[Any]		)		->     List[Any]:
				save_json(pl_module.metrics      ,      pl_module.metrics_save_path		)
				# Uncommenting this will save val generations
				# return self._write_logs(trainer, pl_module, "valid")








from datasets.utils.patching import _PatchedModuleObj, patch_submodule

from . import _test_patching

def 	_lowerCAmelCase (    ):
      import os as original_os
      from os import path as original_path
      from os import rename as original_rename
      from os.path import dirname as original_dirname
      from os.path import join as original_join

      assert _test_patching.os is original_os
      assert _test_patching.path is original_path
      assert _test_patching.join is original_join

      assert _test_patching.renamed_os is original_os
      assert _test_patching.renamed_path is original_path
      assert _test_patching.renamed_join is original_join

      lowercase__  =	'__test_patch_submodule_mock__'
      with patch_submodule(_test_patching    ,	'os.path.join'    ,	A__						):
            # Every way to access os.path.join must be patched, and the rest must stay untouched

            # check os.path.join
            assert isinstance(_test_patching.os    ,	_PatchedModuleObj						)
            assert isinstance(_test_patching.os.path    ,	_PatchedModuleObj						)
            assert _test_patching.os.path.join is mock

            # check path.join
            assert isinstance(_test_patching.path    ,	_PatchedModuleObj						)
            assert _test_patching.path.join is mock

            # check join
            assert _test_patching.join is mock

            # check that the other attributes are untouched
            assert _test_patching.os.rename is original_rename
            assert _test_patching.path.dirname is original_dirname
            assert _test_patching.os.path.dirname is original_dirname

            # Even renamed modules or objects must be patched

            # check renamed_os.path.join
            assert isinstance(_test_patching.renamed_os    ,	_PatchedModuleObj						)
            assert isinstance(_test_patching.renamed_os.path    ,	_PatchedModuleObj						)
            assert _test_patching.renamed_os.path.join is mock

            # check renamed_path.join
            assert isinstance(_test_patching.renamed_path    ,	_PatchedModuleObj						)
            assert _test_patching.renamed_path.join is mock

            # check renamed_join
            assert _test_patching.renamed_join is mock

            # check that the other attributes are untouched
            assert _test_patching.renamed_os.rename is original_rename
            assert _test_patching.renamed_path.dirname is original_dirname
            assert _test_patching.renamed_os.path.dirname is original_dirname

      # check that everthing is back to normal when the patch is over

      assert _test_patching.os is original_os
      assert _test_patching.path is original_path
      assert _test_patching.join is original_join

      assert _test_patching.renamed_os is original_os
      assert _test_patching.renamed_path is original_path
      assert _test_patching.renamed_join is original_join

def 	_lowerCAmelCase (    ):
      assert _test_patching.open is open

      lowercase__  =	'__test_patch_submodule_builtin_mock__'
      # _test_patching has "open" in its globals
      assert _test_patching.open is open
      with patch_submodule(_test_patching    ,	'open'    ,	A__						):
            assert _test_patching.open is mock

      # check that everthing is back to normal when the patch is over

      assert _test_patching.open is open

def 	_lowerCAmelCase (    ):
      # pandas.read_csv is not present in _test_patching
      lowercase__  =	'__test_patch_submodule_missing_mock__'
      with patch_submodule(_test_patching    ,	'pandas.read_csv'    ,	A__						):
            pass

def 	_lowerCAmelCase (    ):
      # builtin should always be mocked even if they're not in the globals
      # in case they're loaded at one point
      lowercase__  =	'__test_patch_submodule_missing_builtin_mock__'
      # _test_patching doesn't have "len" in its globals
      assert getattr(_test_patching    ,	'len'    ,	A__						) is None
      with patch_submodule(_test_patching    ,	'len'    ,	A__						):
            assert _test_patching.len is mock
      assert _test_patching.len is len

def 	_lowerCAmelCase (    ):
      lowercase__  =	'__test_patch_submodule_start_and_stop_mock__'
      lowercase__  =	patch_submodule(_test_patching    ,	'open'    ,	A__						)
      assert _test_patching.open is open
      patch.start()
      assert _test_patching.open is mock
      patch.stop()
      assert _test_patching.open is open

def 	_lowerCAmelCase (    ):
      from os import rename as original_rename
      from os.path import dirname as original_dirname
      from os.path import join as original_join

      lowercase__  =	'__test_patch_submodule_successive_join__'
      lowercase__  =	'__test_patch_submodule_successive_dirname__'
      lowercase__  =	'__test_patch_submodule_successive_rename__'
      assert _test_patching.os.path.join is original_join
      assert _test_patching.os.path.dirname is original_dirname
      assert _test_patching.os.rename is original_rename

      with patch_submodule(_test_patching    ,	'os.path.join'    ,	A__						):
            with patch_submodule(_test_patching    ,	'os.rename'    ,	A__						):
                  with patch_submodule(_test_patching    ,	'os.path.dirname'    ,	A__						):
                        assert _test_patching.os.path.join is mock_join
                        assert _test_patching.os.path.dirname is mock_dirname
                        assert _test_patching.os.rename is mock_rename

    # try another order
      with patch_submodule(_test_patching    ,	'os.rename'    ,	A__						):
            with patch_submodule(_test_patching    ,	'os.path.join'    ,	A__						):
                  with patch_submodule(_test_patching    ,	'os.path.dirname'    ,	A__						):
                        assert _test_patching.os.path.join is mock_join
                        assert _test_patching.os.path.dirname is mock_dirname
                        assert _test_patching.os.rename is mock_rename

      assert _test_patching.os.path.join is original_join
      assert _test_patching.os.path.dirname is original_dirname
      assert _test_patching.os.rename is original_rename

def 	_lowerCAmelCase (    ):
      lowercase__  =	'__test_patch_submodule_doesnt_exist_mock__'
      with patch_submodule(_test_patching    ,	'__module_that_doesn_exist__.__attribute_that_doesn_exist__'    ,	A__						):
            pass
      with patch_submodule(_test_patching    ,	'os.__attribute_that_doesn_exist__'    ,	A__						):
            pass
