'''simple docstring'''

from __future__ import annotations

from random import random
from typing import Generic, TypeVar

lowercase_     		= TypeVar('''KT''')
lowercase_     		= TypeVar('''VT''')
class   SCREAMING_SNAKE_CASE			(						Generic[KT, VT]):







		"""simple docstring"""






		def __init__(   self		,						__A = "root"		,						__A = None				) ->     Dict:
								_lowerCAmelCase										=key
								_lowerCAmelCase										=value
								_lowerCAmelCase										=[]






		def __repr__(   self				) ->     str:
								return F'''Node({self.key}: {self.value})'''






		@property
		def 		UpperCamelCase__       (   self				) ->     int:
								return len(self.forward				)

class   SCREAMING_SNAKE_CASE			(						Generic[KT, VT]):







		"""simple docstring"""






		def __init__(   self		,						__A = 0.5		,						__A = 16				) ->     int:
								_lowerCAmelCase										=Node[KT, VT]()
								_lowerCAmelCase										=0
								_lowerCAmelCase										=p
								_lowerCAmelCase										=max_level






		def __str__(   self				) ->     str:
								_lowerCAmelCase										=list(self				)

								if len(__A				) == 0:
														return F'''SkipList(level={self.level})'''

								_lowerCAmelCase										=max((len(str(__A				)				) for item in items)		,						default=4				)
								_lowerCAmelCase										=max(__A		,						4				) + 4

								_lowerCAmelCase										=self.head
								_lowerCAmelCase										=[]

								_lowerCAmelCase										=node.forward.copy()
								lines.append(F'''[{node.key}]'''.ljust(__A		,						'-'				) + '* ' * len(__A				)				)
								lines.append(' ' * label_size + '| ' * len(__A				)				)

								while len(node.forward				) != 0:
														_lowerCAmelCase										=node.forward[0]

														lines.append(
														    F'''[{node.key}]'''.ljust(__A		,						'-'				)
														    + ' '.join(str(n.key				) if n.key == node.key else '|' for n in forwards				)				)
														lines.append(' ' * label_size + '| ' * len(__A				)				)
														_lowerCAmelCase										=node.forward

								lines.append('None'.ljust(__A				) + '* ' * len(__A				)				)
								return F'''SkipList(level={self.level})\n''' + "\n".join(__A				)






		def __iter__(   self				) ->     int:
								_lowerCAmelCase										=self.head

								while len(node.forward				) != 0:
														yield node.forward[0].key
														_lowerCAmelCase										=node.forward[0]






		def 		UpperCamelCase__       (   self				) ->     int:
								_lowerCAmelCase										=1
								while random() < self.p and level < self.max_level:
														level += 1

								return level






		def 		UpperCamelCase__       (   self		,						__A				) ->     tuple[Node[KT, VT] | None, list[Node[KT, VT]]]:
								_lowerCAmelCase										=[]

								_lowerCAmelCase										=self.head

								for i in reversed(range(self.level				)				):
														# i < node.level - When node level is lesser than `i` decrement `i`.
														# node.forward[i].key < key - Jumping to node with key value higher
														#                             or equal to searched key would result
														#                             in skipping searched key.
														while i < node.level and node.forward[i].key < key:
																				_lowerCAmelCase										=node.forward[i]
														# Each leftmost node (relative to searched node) will potentially have to
														# be updated.
														update_vector.append(__A				)

								update_vector.reverse()  # Note that we were inserting values in reverse order.

								# len(node.forward) != 0 - If current node doesn't contain any further
								#                          references then searched key is not present.
								# node.forward[0].key == key - Next node key should be equal to search key
								#                              if key is present.
								if len(node.forward				) != 0 and node.forward[0].key == key:
														return node.forward[0], update_vector
								else:
														return None, update_vector






		def 		UpperCamelCase__       (   self		,						__A				) ->     int:
								_lowerCAmelCase						,				_lowerCAmelCase										=self._locate_node(__A				)

								if node is not None:
														for i, update_node in enumerate(__A				):
																				# Remove or replace all references to removed node.
																				if update_node.level > i and update_node.forward[i].key == key:
																										if node.level > i:
																																_lowerCAmelCase										=node.forward[i]
																										else:
																																_lowerCAmelCase										=update_node.forward[:i]






		def 		UpperCamelCase__       (   self		,						__A		,						__A				) ->     Tuple:
								_lowerCAmelCase						,				_lowerCAmelCase										=self._locate_node(__A				)
								if node is not None:
														_lowerCAmelCase										=value
								else:
														_lowerCAmelCase										=self.random_level()

														if level > self.level:
																				# After level increase we have to add additional nodes to head.
																				for _ in range(self.level - 1		,						__A				):
																										update_vector.append(self.head				)
																				_lowerCAmelCase										=level

														_lowerCAmelCase										=Node(__A		,						__A				)

														for i, update_node in enumerate(update_vector[:level]				):
																				# Change references to pass through new node.
																				if update_node.level > i:
																										new_node.forward.append(update_node.forward[i]				)

																				if update_node.level < i + 1:
																										update_node.forward.append(__A				)
																				else:
																										_lowerCAmelCase										=new_node






		def 		UpperCamelCase__       (   self		,						__A				) ->     VT | None:
								_lowerCAmelCase						,				_lowerCAmelCase										=self._locate_node(__A				)

								if node is not None:
														return node.value

								return None



def 							UpperCamelCase__			(			):


						'''simple docstring'''






						_lowerCAmelCase										=SkipList()
						skip_list.insert('Key1'			,      3      )
						skip_list.insert('Key2'			,      1_2      )
						skip_list.insert('Key3'			,      4_1      )
						skip_list.insert('Key4'			,      -1_9      )

						_lowerCAmelCase										=skip_list.head
						_lowerCAmelCase										={}
						while node.level != 0:
												_lowerCAmelCase										=node.forward[0]
												_lowerCAmelCase										=node.value

						assert len(a__      ) == 4
						assert all_values["Key1"] == 3
						assert all_values["Key2"] == 1_2
						assert all_values["Key3"] == 4_1
						assert all_values["Key4"] == -1_9



def 							UpperCamelCase__			(			):


						'''simple docstring'''






						_lowerCAmelCase										=SkipList()
						skip_list.insert('Key1'			,      1_0      )
						skip_list.insert('Key1'			,      1_2      )

						skip_list.insert('Key5'			,      7      )
						skip_list.insert('Key7'			,      1_0      )
						skip_list.insert('Key10'			,      5      )

						skip_list.insert('Key7'			,      7      )
						skip_list.insert('Key5'			,      5      )
						skip_list.insert('Key10'			,      1_0      )

						_lowerCAmelCase										=skip_list.head
						_lowerCAmelCase										={}
						while node.level != 0:
												_lowerCAmelCase										=node.forward[0]
												_lowerCAmelCase										=node.value

						if len(a__      ) != 4:
												print()
						assert len(a__      ) == 4
						assert all_values["Key1"] == 1_2
						assert all_values["Key7"] == 7
						assert all_values["Key5"] == 5
						assert all_values["Key10"] == 1_0



def 							UpperCamelCase__			(			):


						'''simple docstring'''






						_lowerCAmelCase										=SkipList()
						assert skip_list.find('Some key'      ) is None



def 							UpperCamelCase__			(			):


						'''simple docstring'''






						_lowerCAmelCase										=SkipList()

						skip_list.insert('Key2'			,      2_0      )
						assert skip_list.find('Key2'      ) == 2_0

						skip_list.insert('Some Key'			,      1_0      )
						skip_list.insert('Key2'			,      8      )
						skip_list.insert('V'			,      1_3      )

						assert skip_list.find('Y'      ) is None
						assert skip_list.find('Key2'      ) == 8
						assert skip_list.find('Some Key'      ) == 1_0
						assert skip_list.find('V'      ) == 1_3



def 							UpperCamelCase__			(			):


						'''simple docstring'''






						_lowerCAmelCase										=SkipList()
						skip_list.delete('Some key'      )

						assert len(skip_list.head.forward      ) == 0



def 							UpperCamelCase__			(			):


						'''simple docstring'''






						_lowerCAmelCase										=SkipList()

						skip_list.insert('Key1'			,      1_2      )
						skip_list.insert('V'			,      1_3      )
						skip_list.insert('X'			,      1_4      )
						skip_list.insert('Key2'			,      1_5      )

						skip_list.delete('V'      )
						skip_list.delete('Key2'      )

						assert skip_list.find('V'      ) is None
						assert skip_list.find('Key2'      ) is None



def 							UpperCamelCase__			(			):


						'''simple docstring'''






						_lowerCAmelCase										=SkipList()

						skip_list.insert('Key1'			,      1_2      )
						skip_list.insert('V'			,      1_3      )
						skip_list.insert('X'			,      1_4      )
						skip_list.insert('Key2'			,      1_5      )

						skip_list.delete('V'      )
						assert skip_list.find('V'      ) is None
						assert skip_list.find('X'      ) == 1_4
						assert skip_list.find('Key1'      ) == 1_2
						assert skip_list.find('Key2'      ) == 1_5

						skip_list.delete('X'      )
						assert skip_list.find('V'      ) is None
						assert skip_list.find('X'      ) is None
						assert skip_list.find('Key1'      ) == 1_2
						assert skip_list.find('Key2'      ) == 1_5

						skip_list.delete('Key1'      )
						assert skip_list.find('V'      ) is None
						assert skip_list.find('X'      ) is None
						assert skip_list.find('Key1'      ) is None
						assert skip_list.find('Key2'      ) == 1_5

						skip_list.delete('Key2'      )
						assert skip_list.find('V'      ) is None
						assert skip_list.find('X'      ) is None
						assert skip_list.find('Key1'      ) is None
						assert skip_list.find('Key2'      ) is None



def 							UpperCamelCase__			(			):


						'''simple docstring'''






						_lowerCAmelCase										=SkipList()

						skip_list.insert('Key1'			,      1_2      )
						skip_list.insert('V'			,      1_3      )
						skip_list.insert('X'			,      1_4_2      )
						skip_list.insert('Key2'			,      1_5      )

						skip_list.delete('X'      )

						def traverse_keys(a__      ):
												yield node.key
												for forward_node in node.forward:
																		yield from traverse_keys(a__      )

						assert len(set(traverse_keys(skip_list.head      )      )      ) == 4



def 							UpperCamelCase__			(			):


						'''simple docstring'''






						def is_sorted(a__      ):
												return all(next_item >= item for item, next_item in zip(a__			,      lst[1:]      )      )

						_lowerCAmelCase										=SkipList()
						for i in range(1_0      ):
												skip_list.insert(a__			,      a__      )
						assert is_sorted(list(a__      )      )
						skip_list.delete(5      )
						skip_list.delete(8      )
						skip_list.delete(2      )
						assert is_sorted(list(a__      )      )
						skip_list.insert(-1_2			,      -1_2      )
						skip_list.insert(7_7			,      7_7      )
						assert is_sorted(list(a__      )      )



def 							UpperCamelCase__			(			):


						'''simple docstring'''






						for _ in range(1_0_0      ):
												# Repeat test 100 times due to the probabilistic nature of skip list
												# random values == random bugs
												test_insert()
												test_insert_overrides_existing_value()

												test_searching_empty_list_returns_none()
												test_search()

												test_deleting_item_from_empty_list_do_nothing()
												test_deleted_items_are_not_founded_by_find_method()
												test_delete_removes_only_given_key()
												test_delete_doesnt_leave_dead_nodes()

												test_iter_always_yields_sorted_values()



def 							UpperCamelCase__			(			):


						'''simple docstring'''






						_lowerCAmelCase										=SkipList()
						skip_list.insert(2			,      '2'      )
						skip_list.insert(4			,      '4'      )
						skip_list.insert(6			,      '4'      )
						skip_list.insert(4			,      '5'      )
						skip_list.insert(8			,      '4'      )
						skip_list.insert(9			,      '4'      )

						skip_list.delete(4      )

						print(a__      )


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							main()






'''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


lowercase_     		= '''sshleifer/mar_enro_6_3_student'''
class   SCREAMING_SNAKE_CASE			(						__lowercase):







		"""simple docstring"""






		def 		UpperCamelCase__       (   self				) ->     Optional[Any]:
								super().setUp()

								_lowerCAmelCase										=cached_path(
								    'https://cdn-datasets.huggingface.co/translation/wmt_en_ro-tr40k-va0.5k-te0.5k.tar.gz'		,						extract_compressed_file=__A		,						)
								_lowerCAmelCase										=F'''{data_cached}/wmt_en_ro-tr40k-va0.5k-te0.5k'''






		@slow
		@require_torch_gpu
		def 		UpperCamelCase__       (   self				) ->     Union[str, Any]:
								MarianMTModel.from_pretrained(__A				)






		@slow
		@require_torch_gpu
		def 		UpperCamelCase__       (   self				) ->     Union[str, Any]:
								_lowerCAmelCase										={
								    '$MAX_LEN': 64,
								    '$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
								_lowerCAmelCase										=(self.test_file_dir / 'train_mbart_cc25_enro.sh').open().read().split('finetune.py'				)[1].strip()
								_lowerCAmelCase										=bash_script.replace('\\\n'		,						''				).strip().replace('"$@"'		,						''				)
								for k, v in env_vars_to_replace.items():
														_lowerCAmelCase										=bash_script.replace(__A		,						str(__A				)				)
								_lowerCAmelCase										=self.get_auto_remove_tmp_dir()

								# bash_script = bash_script.replace("--fp16 ", "")
								_lowerCAmelCase										=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

								_lowerCAmelCase										=['finetune.py'] + bash_script.split() + args
								with patch.object(__A		,						'argv'		,						__A				):
														_lowerCAmelCase										=argparse.ArgumentParser()
														_lowerCAmelCase										=pl.Trainer.add_argparse_args(__A				)
														_lowerCAmelCase										=SummarizationModule.add_model_specific_args(__A		,						os.getcwd()				)
														_lowerCAmelCase										=parser.parse_args()
														_lowerCAmelCase										=main(__A				)

								# Check metrics
								_lowerCAmelCase										=load_json(model.metrics_save_path				)
								_lowerCAmelCase										=metrics['val'][0]
								_lowerCAmelCase										=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}''']		,						__A				)

								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
								_lowerCAmelCase										=os.listdir(__A				)
								_lowerCAmelCase										=[x for x in contents if x.endswith('.ckpt'				)][0]
								_lowerCAmelCase										=os.path.join(args.output_dir		,						__A				)
								_lowerCAmelCase										=torch.load(__A		,						map_location='cpu'				)
								_lowerCAmelCase										='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:
														_lowerCAmelCase										={os.path.basename(__A				) 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   SCREAMING_SNAKE_CASE			(						__lowercase):







		"""simple docstring"""






		@timeout_decorator.timeout(600				)
		@slow
		@require_torch_gpu
		def 		UpperCamelCase__       (   self				) ->     Tuple:
								_lowerCAmelCase										=F'''{self.test_file_dir_str}/test_data/wmt_en_ro'''
								_lowerCAmelCase										={
								    '--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
								_lowerCAmelCase										=(
								    (self.test_file_dir / 'distil_marian_no_teacher.sh').open().read().split('distillation.py'				)[1].strip()
								)
								_lowerCAmelCase										=bash_script.replace('\\\n'		,						''				).strip().replace('"$@"'		,						''				)
								_lowerCAmelCase										=bash_script.replace('--fp16 '		,						' '				)

								for k, v in env_vars_to_replace.items():
														_lowerCAmelCase										=bash_script.replace(__A		,						str(__A				)				)
								_lowerCAmelCase										=self.get_auto_remove_tmp_dir()
								_lowerCAmelCase										=bash_script.replace('--fp16'		,						''				)
								_lowerCAmelCase										=6
								_lowerCAmelCase										=(
								    ['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(__A		,						'argv'		,						__A				):
														_lowerCAmelCase										=argparse.ArgumentParser()
														_lowerCAmelCase										=pl.Trainer.add_argparse_args(__A				)
														_lowerCAmelCase										=SummarizationDistiller.add_model_specific_args(__A		,						os.getcwd()				)
														_lowerCAmelCase										=parser.parse_args()
														# assert args.gpus == gpus THIS BREAKS for multi_gpu

														_lowerCAmelCase										=distill_main(__A				)

								# Check metrics
								_lowerCAmelCase										=load_json(model.metrics_save_path				)
								_lowerCAmelCase										=metrics['val'][0]
								_lowerCAmelCase										=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}''']		,						__A				)

								# check lightning ckpt can be loaded and has a reasonable statedict
								_lowerCAmelCase										=os.listdir(__A				)
								_lowerCAmelCase										=[x for x in contents if x.endswith('.ckpt'				)][0]
								_lowerCAmelCase										=os.path.join(args.output_dir		,						__A				)
								_lowerCAmelCase										=torch.load(__A		,						map_location='cpu'				)
								_lowerCAmelCase										='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:
														_lowerCAmelCase										={os.path.basename(__A				) 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





