



'''simple docstring'''

import argparse
import os
import sys
from unittest.mock import patch

import pytorch_lightning as pl
import timeout_decorator
import torch
from distillation import SummarizationDistiller, distill_main
from finetune import SummarizationModule, main

from transformers import MarianMTModel
from transformers.file_utils import cached_path
from transformers.testing_utils import TestCasePlus, require_torch_gpu, slow
from utils import load_json


__lowerCAmelCase									=   '''sshleifer/mar_enro_6_3_student'''

class 	__magic_name__						(    _UpperCamelCase   ):







							def 							__lowercase			(							self					:       int		):
									super().setUp()

									_a     :      Any        =							cached_path(
									    'https://cdn-datasets.huggingface.co/translation/wmt_en_ro-tr40k-va0.5k-te0.5k.tar.gz'	,extract_compressed_file=_UpperCAmelCase	,)
									_a     :      List[str]        =							F"""{data_cached}/wmt_en_ro-tr40k-va0.5k-te0.5k"""







							@slow
							@require_torch_gpu
							def 							__lowercase			(							self					:       Dict		):
									MarianMTModel.from_pretrained(_UpperCAmelCase		)







							@slow
							@require_torch_gpu
							def 							__lowercase			(							self					:       Any		):
									_a     :      Any        =							{
									    '$MAX_LEN': 64,
									    '$BS': 64,
									    '$GAS': 1,
									    '$ENRO_DIR': self.data_dir,
									    'facebook/mbart-large-cc25': MARIAN_MODEL,
									    # "val_check_interval=0.25": "val_check_interval=1.0",
									    '--learning_rate=3e-5': '--learning_rate 3e-4',
									    '--num_train_epochs 6': '--num_train_epochs 1',
									}

									# Clean up bash script
									_a     :      Union[str, Any]        =							(self.test_file_dir / 'train_mbart_cc25_enro.sh').open().read().split('finetune.py'		)[1].strip()
									_a     :      Union[str, Any]        =							bash_script.replace('\\\n'	,''		).strip().replace('"$@"'	,''		)
									for k, v in env_vars_to_replace.items():
											_a     :      int        =							bash_script.replace(_UpperCAmelCase	,str(_UpperCAmelCase		)		)
									_a     :      List[str]        =							self.get_auto_remove_tmp_dir()

									# bash_script = bash_script.replace("--fp16 ", "")
									_a     :      Any        =							F"""
            --output_dir {output_dir}
            --tokenizer_name Helsinki-NLP/opus-mt-en-ro
            --sortish_sampler
            --do_predict
            --gpus 1
            --freeze_encoder
            --n_train 40000
            --n_val 500
            --n_test 500
            --fp16_opt_level O1
            --num_sanity_val_steps 0
            --eval_beams 2
        """.split()
									# XXX: args.gpus > 1 : handle multi_gpu in the future

									_a     :      List[str]        =							['finetune.py'] + bash_script.split() + args
									with patch.object(_UpperCAmelCase	,'argv'	,_UpperCAmelCase		):
											_a     :      str        =							argparse.ArgumentParser()
											_a     :      Any        =							pl.Trainer.add_argparse_args(_UpperCAmelCase		)
											_a     :      List[Any]        =							SummarizationModule.add_model_specific_args(_UpperCAmelCase	,os.getcwd()		)
											_a     :      Optional[int]        =							parser.parse_args()
											_a     :      int        =							main(_UpperCAmelCase		)

									# Check metrics
									_a     :      Any        =							load_json(model.metrics_save_path		)
									_a     :      int        =							metrics['val'][0]
									_a     :      Tuple        =							metrics['val'][-1]
									self.assertEqual(len(metrics['val']		)	,(args.max_epochs / args.val_check_interval)		)
									assert isinstance(last_step_stats[F"""val_avg_{model.val_metric}"""]	,_UpperCAmelCase		)

									self.assertGreater(last_step_stats['val_avg_gen_time']	,0.01		)
									# model hanging on generate. Maybe bad config was saved. (XXX: old comment/assert?)
									self.assertLessEqual(last_step_stats['val_avg_gen_time']	,1.0		)

									# test learning requirements:

									# 1. BLEU improves over the course of training by more than 2 pts
									self.assertGreater(last_step_stats['val_avg_bleu'] - first_step_stats['val_avg_bleu']	,2		)

									# 2. BLEU finishes above 17
									self.assertGreater(last_step_stats['val_avg_bleu']	,17		)

									# 3. test BLEU and val BLEU within ~1.1 pt.
									self.assertLess(abs(metrics['val'][-1]['val_avg_bleu'] - metrics['test'][-1]['test_avg_bleu']		)	,1.1		)

									# check lightning ckpt can be loaded and has a reasonable statedict
									_a     :      Optional[Any]        =							os.listdir(_UpperCAmelCase		)
									_a     :      Optional[Any]        =							[x for x in contents if x.endswith('.ckpt'		)][0]
									_a     :      List[str]        =							os.path.join(args.output_dir	,_UpperCAmelCase		)
									_a     :      Optional[int]        =							torch.load(_UpperCAmelCase	,map_location='cpu'		)
									_a     :      List[str]        =							'model.model.decoder.layers.0.encoder_attn_layer_norm.weight'
									assert expected_key in ckpt["state_dict"]
									assert ckpt["state_dict"]["model.model.decoder.layers.0.encoder_attn_layer_norm.weight"].dtype == torch.floataa

									# TODO: turn on args.do_predict when PL bug fixed.
									if args.do_predict:
											_a     :      Optional[Any]        =							{os.path.basename(_UpperCAmelCase		) for p in contents}
											assert "test_generations.txt" in contents
											assert "test_results.txt" in contents
											# assert len(metrics["val"]) ==  desired_n_evals
											assert len(metrics['test']		) == 1

class 	__magic_name__						(    _UpperCamelCase   ):







							@timeout_decorator.timeout(600		)
							@slow
							@require_torch_gpu
							def 							__lowercase			(							self					:       Any		):
									_a     :      Any        =							F"""{self.test_file_dir_str}/test_data/wmt_en_ro"""
									_a     :      Union[str, Any]        =							{
									    '--fp16_opt_level=O1': '',
									    '$MAX_LEN': 128,
									    '$BS': 16,
									    '$GAS': 1,
									    '$ENRO_DIR': data_dir,
									    '$m': 'sshleifer/student_marian_en_ro_6_1',
									    'val_check_interval=0.25': 'val_check_interval=1.0',
									}

									# Clean up bash script
									_a     :      Any        =							(
									    (self.test_file_dir / 'distil_marian_no_teacher.sh').open().read().split('distillation.py'		)[1].strip()
									)
									_a     :      Optional[int]        =							bash_script.replace('\\\n'	,''		).strip().replace('"$@"'	,''		)
									_a     :      Tuple        =							bash_script.replace('--fp16 '	,' '		)

									for k, v in env_vars_to_replace.items():
											_a     :      Tuple        =							bash_script.replace(_UpperCAmelCase	,str(_UpperCAmelCase		)		)
									_a     :      Dict        =							self.get_auto_remove_tmp_dir()
									_a     :      int        =							bash_script.replace('--fp16'	,''		)
									_a     :      Any        =							6
									_a     :      int        =							(
									    ['distillation.py']
									    + bash_script.split()
									    + [
									        F"""--output_dir={output_dir}""",
									        '--gpus=1',
									        '--learning_rate=1e-3',
									        F"""--num_train_epochs={epochs}""",
									        '--warmup_steps=10',
									        '--val_check_interval=1.0',
									        '--do_predict',
									    ]
									)
									with patch.object(_UpperCAmelCase	,'argv'	,_UpperCAmelCase		):
											_a     :      List[str]        =							argparse.ArgumentParser()
											_a     :      Union[str, Any]        =							pl.Trainer.add_argparse_args(_UpperCAmelCase		)
											_a     :      Any        =							SummarizationDistiller.add_model_specific_args(_UpperCAmelCase	,os.getcwd()		)
											_a     :      Dict        =							parser.parse_args()
											# assert args.gpus == gpus THIS BREAKS for multi_gpu

											_a     :      Dict        =							distill_main(_UpperCAmelCase		)

									# Check metrics
									_a     :      Optional[Any]        =							load_json(model.metrics_save_path		)
									_a     :      Optional[Any]        =							metrics['val'][0]
									_a     :      Union[str, Any]        =							metrics['val'][-1]
									assert len(metrics['val']		) >= (args.max_epochs / args.val_check_interval)  # +1 accounts for val_sanity_check

									assert last_step_stats["val_avg_gen_time"] >= 0.01

									assert first_step_stats["val_avg_bleu"] < last_step_stats["val_avg_bleu"]  # model learned nothing
									assert 1.0 >= last_step_stats["val_avg_gen_time"]  # model hanging on generate. Maybe bad config was saved.
									assert isinstance(last_step_stats[F"""val_avg_{model.val_metric}"""]	,_UpperCAmelCase		)

									# check lightning ckpt can be loaded and has a reasonable statedict
									_a     :      Tuple        =							os.listdir(_UpperCAmelCase		)
									_a     :      Dict        =							[x for x in contents if x.endswith('.ckpt'		)][0]
									_a     :      Union[str, Any]        =							os.path.join(args.output_dir	,_UpperCAmelCase		)
									_a     :      str        =							torch.load(_UpperCAmelCase	,map_location='cpu'		)
									_a     :      Union[str, Any]        =							'model.model.decoder.layers.0.encoder_attn_layer_norm.weight'
									assert expected_key in ckpt["state_dict"]
									assert ckpt["state_dict"]["model.model.decoder.layers.0.encoder_attn_layer_norm.weight"].dtype == torch.floataa

									# TODO: turn on args.do_predict when PL bug fixed.
									if args.do_predict:
											_a     :      int        =							{os.path.basename(_UpperCAmelCase		) for p in contents}
											assert "test_generations.txt" in contents
											assert "test_results.txt" in contents
											# assert len(metrics["val"]) ==  desired_n_evals
											assert len(metrics['test']		) == 1









'''simple docstring'''

from typing import Any

class 	__magic_name__						:







							def __init__(							self					:       List[Any]	,_UpperCAmelCase					:       Any		):
									_a     :      List[Any]        =							data
									_a     :      Union[str, Any]        =							None







							def __repr__(							self					:       Any		):
									return F"""Node({self.data})"""

class 	__magic_name__						:







							def __init__(							self					:       int		):
									_a     :      Tuple        =							None







							def __iter__(							self					:       str		):
									_a     :      int        =							self.head
									while node:
											yield node.data
											_a     :      Union[str, Any]        =							node.next







							def __len__(							self					:       Optional[Any]		):
									return sum(1 for _ in self		)







							def __repr__(							self					:       str		):
									return "->".join([str(_UpperCAmelCase		) for item in self]		)







							def __getitem__(							self					:       Tuple	,_UpperCAmelCase					:       int		):
									if not 0 <= index < len(self		):
											raise ValueError('list index out of range.'		)
									for i, node in enumerate(self		):
											if i == index:
													return node
									return None







							def __setitem__(							self					:       Union[str, Any]	,_UpperCAmelCase					:       int	,_UpperCAmelCase					:       Any		):
									if not 0 <= index < len(self		):
											raise ValueError('list index out of range.'		)
									_a     :      Any        =							self.head
									for _ in range(_UpperCAmelCase		):
											_a     :      Optional[Any]        =							current.next
									_a     :      Optional[int]        =							data







							def 							__lowercase			(							self					:       Optional[int]	,_UpperCAmelCase					:       Any		):
									self.insert_nth(len(self		)	,_UpperCAmelCase		)







							def 							__lowercase			(							self					:       Union[str, Any]	,_UpperCAmelCase					:       Any		):
									self.insert_nth(0	,_UpperCAmelCase		)







							def 							__lowercase			(							self					:       str	,_UpperCAmelCase					:       int	,_UpperCAmelCase					:       Any		):
									if not 0 <= index <= len(self		):
											raise IndexError('list index out of range'		)
									_a     :      int        =							Node(_UpperCAmelCase		)
									if self.head is None:
											_a     :      str        =							new_node
									elif index == 0:
											_a     :      List[str]        =							self.head  # link new_node to head
											_a     :      Union[str, Any]        =							new_node
									else:
											_a     :      int        =							self.head
											for _ in range(index - 1		):
													_a     :      Union[str, Any]        =							temp.next
											_a     :      List[str]        =							temp.next
											_a     :      Optional[int]        =							new_node







							def 							__lowercase			(							self					:       Optional[int]		):  # print every node data
									print(self		)







							def 							__lowercase			(							self					:       str		):
									return self.delete_nth(0		)







							def 							__lowercase			(							self					:       str		):  # delete from tail
									return self.delete_nth(len(self		) - 1		)







							def 							__lowercase			(							self					:       List[str]	,_UpperCAmelCase					:       int = 0		):
									if not 0 <= index <= len(self		) - 1:  # test if index is valid
											raise IndexError('List index out of range.'		)
									_a     :      Optional[Any]        =							self.head  # default first node
									if index == 0:
											_a     :      int        =							self.head.next
									else:
											_a     :      int        =							self.head
											for _ in range(index - 1		):
													_a     :      str        =							temp.next
											_a     :      str        =							temp.next
											_a     :      int        =							temp.next.next
									return delete_node.data







							def 							__lowercase			(							self					:       List[Any]		):
									return self.head is None







							def 							__lowercase			(							self					:       Tuple		):
									_a     :      List[Any]        =							None
									_a     :      Tuple        =							self.head

									while current:
											# Store the current node's next node.
											_a     :      Dict        =							current.next
											# Make the current node's next point backwards
											_a     :      str        =							prev
											# Make the previous node be the current node
											_a     :      Tuple        =							current
											# Make the current node the next node (to progress iteration)
											_a     :      Optional[Any]        =							next_node
									# Return prev in order to put the head at the end
									_a     :      int        =							prev



def      __lowerCamelCase     (      )			->      None:
		_a     :      List[str]        =							LinkedList()
		assert linked_list.is_empty() is True
		assert str(lowerCAmelCase_  ) == ""

		try:
				linked_list.delete_head()
				raise AssertionError  # This should not happen.
		except IndexError:
				assert True  # This should happen.

		try:
				linked_list.delete_tail()
				raise AssertionError  # This should not happen.
		except IndexError:
				assert True  # This should happen.

		for i in range(10  ):
				assert len(lowerCAmelCase_  ) == i
				linked_list.insert_nth(lowerCAmelCase_						,			i + 1  )
		assert str(lowerCAmelCase_  ) == "->".join(str(lowerCAmelCase_  ) for i in range(1						,			11  )  )

		linked_list.insert_head(0  )
		linked_list.insert_tail(11  )
		assert str(lowerCAmelCase_  ) == "->".join(str(lowerCAmelCase_  ) for i in range(0						,			12  )  )

		assert linked_list.delete_head() == 0
		assert linked_list.delete_nth(9  ) == 10
		assert linked_list.delete_tail() == 11
		assert len(lowerCAmelCase_  ) == 9
		assert str(lowerCAmelCase_  ) == "->".join(str(lowerCAmelCase_  ) for i in range(1						,			10  )  )

		assert all(linked_list[i] == i + 1 for i in range(0						,			9  )  ) is True

		for i in range(0						,			9  ):
				_a     :      Union[str, Any]        =							-i
		assert all(linked_list[i] == -i for i in range(0						,			9  )  ) is True

		linked_list.reverse()
		assert str(lowerCAmelCase_  ) == "->".join(str(lowerCAmelCase_  ) for i in range(-8						,			1  )  )



def      __lowerCamelCase     (      )			->      None:
		_a     :      Dict        =							[
		    -9,
		    100,
		    Node(77345112  ),
		    'dlrow olleH',
		    7,
		    5555,
		    0,
		    -192.55_555,
		    'Hello, world!',
		    77.9,
		    Node(10  ),
		    None,
		    None,
		    12.20,
		]
		_a     :      List[Any]        =							LinkedList()

		for i in test_input:
				linked_list.insert_tail(lowerCAmelCase_  )

		# Check if it's empty or not
		assert linked_list.is_empty() is False
		assert (
		    str(lowerCAmelCase_  ) == "-9->100->Node(77345112)->dlrow olleH->7->5555->0->"
		    "-192.55555->Hello, world!->77.9->Node(10)->None->None->12.2"
		)

		# Delete the head
		_a     :      List[str]        =							linked_list.delete_head()
		assert result == -9
		assert (
		    str(lowerCAmelCase_  ) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
		    "Hello, world!->77.9->Node(10)->None->None->12.2"
		)

		# Delete the tail
		_a     :      Dict        =							linked_list.delete_tail()
		assert result == 12.2
		assert (
		    str(lowerCAmelCase_  ) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
		    "Hello, world!->77.9->Node(10)->None->None"
		)

		# Delete a node in specific location in linked list
		_a     :      Optional[Any]        =							linked_list.delete_nth(10  )
		assert result is None
		assert (
		    str(lowerCAmelCase_  ) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
		    "Hello, world!->77.9->Node(10)->None"
		)

		# Add a Node instance to its head
		linked_list.insert_head(Node('Hello again, world!'  )  )
		assert (
		    str(lowerCAmelCase_  )
		    == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
		    "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None"
		)

		# Add None to its tail
		linked_list.insert_tail(lowerCAmelCase_  )
		assert (
		    str(lowerCAmelCase_  )
		    == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
		    "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None->None"
		)

		# Reverse the linked list
		linked_list.reverse()
		assert (
		    str(lowerCAmelCase_  )
		    == "None->None->Node(10)->77.9->Hello, world!->-192.55555->0->5555->"
		    "7->dlrow olleH->Node(77345112)->100->Node(Hello again, world!)"
		)



def      __lowerCamelCase     (      )			->      Union[str, Any]:
		from doctest import testmod

		testmod()

		_a     :      Optional[int]        =							LinkedList()
		linked_list.insert_head(input('Inserting 1st at head '  ).strip()  )
		linked_list.insert_head(input('Inserting 2nd at head '  ).strip()  )
		print('\nPrint list:'  )
		linked_list.print_list()
		linked_list.insert_tail(input('\nInserting 1st at tail '  ).strip()  )
		linked_list.insert_tail(input('Inserting 2nd at tail '  ).strip()  )
		print('\nPrint list:'  )
		linked_list.print_list()
		print('\nDelete head'  )
		linked_list.delete_head()
		print('Delete tail'  )
		linked_list.delete_tail()
		print('\nPrint list:'  )
		linked_list.print_list()
		print('\nReverse linked list'  )
		linked_list.reverse()
		print('\nPrint list:'  )
		linked_list.print_list()
		print('\nString representation of linked list:'  )
		print(lowerCAmelCase_  )
		print('\nReading/changing Node data using indexing:'  )
		print(f"""Element at Position 1: {linked_list[1]}"""  )
		_a     :      Optional[Any]        =							input('Enter New Value: '  ).strip()
		print('New list:'  )
		print(lowerCAmelCase_  )
		print(f"""length of linked_list is : {len(lowerCAmelCase_  )}"""  )


if __name__ == "__main__":
							main()




