




import itertools
import json
import linecache
import os
import pickle
import re
import socket
import string
from collections import Counter
from logging import getLogger
from pathlib import Path
from typing import Callable, Dict, Iterable, List

import git
import torch
from torch.utils.data import Dataset

from transformers import BartTokenizer, RagTokenizer, TaTokenizer


def 						lowerCamelCase__    (		_A     ,	_A     ,	_A     ,	_A     ,	_A=True     ,	_A="pt"							):







	'''simple docstring'''





	snake_case_		    =     {"add_prefix_space": True} if isinstance(_A     ,	_A							) and not line.startswith(" "							) else {}
	snake_case_		    =     padding_side
	return tokenizer(
	    [line]     ,	max_length=_A     ,	padding="max_length" if pad_to_max_length else None     ,	truncation=_A     ,	return_tensors=_A     ,	add_special_tokens=_A     ,	**_A     ,	)


def 						lowerCamelCase__    (		_A     ,	_A     ,	_A=None     ,	):







	'''simple docstring'''





	snake_case_		    =     input_ids.ne(_A							).any(dim=0							)
	if attention_mask is None:
		return input_ids[:, keep_column_mask]
	else:
		return (input_ids[:, keep_column_mask], attention_mask[:, keep_column_mask])
class 		UpperCAmelCase   (				UpperCAmelCase__			):







						'''simple docstring'''





						def __init__(						self							:     int       ,	__lowercase							:     List[Any]       ,	__lowercase							:     Tuple       ,	__lowercase							:     List[Any]       ,	__lowercase							:     str       ,	__lowercase							:     Tuple="train"       ,	__lowercase							:     List[str]=None       ,	__lowercase							:     List[Any]=None       ,	__lowercase							:     Optional[Any]=None       ,	__lowercase							:     Union[str, Any]=""       ,	):






							"""simple docstring"""






							super().__init__()
							snake_case_		    =     Path(__lowercase						).joinpath(type_path + ".source"						)
							snake_case_		    =     Path(__lowercase						).joinpath(type_path + ".target"						)
							snake_case_		    =     self.get_char_lens(self.src_file						)
							snake_case_		    =     max_source_length
							snake_case_		    =     max_target_length
							assert min(self.src_lens						) > 0, f"found empty line in {self.src_file}"
							snake_case_		    =     tokenizer
							snake_case_		    =     prefix
							if n_obs is not None:
								snake_case_		    =     self.src_lens[:n_obs]
							snake_case_		    =     src_lang
							snake_case_		    =     tgt_lang






						def __len__(						self							:     List[Any]						):






							"""simple docstring"""






							return len(self.src_lens						)






						def __getitem__(						self							:     List[Any]       ,	__lowercase							:     Dict						):






							"""simple docstring"""






							snake_case_		    =     index + 1  # linecache starts at 1
							snake_case_		    =     self.prefix + linecache.getline(str(self.src_file						)       ,	__lowercase						).rstrip("\n"						)
							snake_case_		    =     linecache.getline(str(self.tgt_file						)       ,	__lowercase						).rstrip("\n"						)
							assert source_line, f"empty source line for index {index}"
							assert tgt_line, f"empty tgt line for index {index}"

							# Need to add eos token manually for T5
							if isinstance(self.tokenizer       ,	__lowercase						):
								source_line += self.tokenizer.eos_token
								tgt_line += self.tokenizer.eos_token

							# Pad source and target to the right
							snake_case_		    =     (
							    self.tokenizer.question_encoder if isinstance(self.tokenizer       ,	__lowercase						) else self.tokenizer
							)
							snake_case_		    =     self.tokenizer.generator if isinstance(self.tokenizer       ,	__lowercase						) else self.tokenizer

							snake_case_		    =     encode_line(__lowercase       ,	__lowercase       ,	self.max_source_length       ,	"right"						)
							snake_case_		    =     encode_line(__lowercase       ,	__lowercase       ,	self.max_target_length       ,	"right"						)

							snake_case_		    =     source_inputs["input_ids"].squeeze()
							snake_case_		    =     target_inputs["input_ids"].squeeze()
							snake_case_		    =     source_inputs["attention_mask"].squeeze()
							return {
							    "input_ids": source_ids,
							    "attention_mask": src_mask,
							    "decoder_input_ids": target_ids,
							}






						@staticmethod
						def        snake_case__						(						__lowercase							:     Optional[int]						):






							"""simple docstring"""






							return [len(__lowercase						) for x in Path(__lowercase						).open().readlines()]






						def        snake_case__						(						self							:     Dict       ,	__lowercase							:     Union[str, Any]						):






							"""simple docstring"""






							snake_case_		    =     torch.stack([x["input_ids"] for x in batch]						)
							snake_case_		    =     torch.stack([x["attention_mask"] for x in batch]						)
							snake_case_		    =     torch.stack([x["decoder_input_ids"] for x in batch]						)
							snake_case_		    =     (
							    self.tokenizer.generator.pad_token_id
							    if isinstance(self.tokenizer       ,	__lowercase						)
							    else self.tokenizer.pad_token_id
							)
							snake_case_		    =     (
							    self.tokenizer.question_encoder.pad_token_id
							    if isinstance(self.tokenizer       ,	__lowercase						)
							    else self.tokenizer.pad_token_id
							)
							snake_case_		    =     trim_batch(__lowercase       ,	__lowercase						)
							snake_case_    ,      snake_case_		    =     trim_batch(__lowercase       ,	__lowercase       ,	attention_mask=__lowercase						)
							snake_case_		    =     {
							    "input_ids": source_ids,
							    "attention_mask": source_mask,
							    "decoder_input_ids": y,
							}
							return batch







lowercase__				:     str 		=						getLogger(__name__)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return list(itertools.chain.from_iterable(_A							)							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	snake_case_		    =     get_git_info()
	save_json(_A     ,	os.path.join(_A     ,	"git_log.json"							)							)


def 						lowerCamelCase__    (		_A     ,	_A     ,	_A=4     ,	**_A							):







	'''simple docstring'''





	with open(_A     ,	"w"							) as f:
		json.dump(_A     ,	_A     ,	indent=_A     ,	**_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	with open(_A							) as f:
		return json.load(_A							)


def 						lowerCamelCase__    (		):







	'''simple docstring'''





	snake_case_		    =     git.Repo(search_parent_directories=_A							)
	snake_case_		    =     {
	    "repo_id": str(_A							),
	    "repo_sha": str(repo.head.object.hexsha							),
	    "repo_branch": str(repo.active_branch							),
	    "hostname": str(socket.gethostname()							),
	}
	return repo_infos


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	return list(map(_A     ,	_A							)							)


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	with open(_A     ,	"wb"							) as f:
		return pickle.dump(_A     ,	_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	def remove_articles(_A							):
		return re.sub(R"\b(a|an|the)\b"     ,	" "     ,	_A							)

	def white_space_fix(_A							):
		return " ".join(text.split()							)

	def remove_punc(_A							):
		snake_case_		    =     set(string.punctuation							)
		return "".join(ch for ch in text if ch not in exclude							)

	def lower(_A							):
		return text.lower()

	return white_space_fix(remove_articles(remove_punc(lower(_A							)							)							)							)


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	snake_case_		    =     normalize_answer(_A							).split()
	snake_case_		    =     normalize_answer(_A							).split()
	snake_case_		    =     Counter(_A							) & Counter(_A							)
	snake_case_		    =     sum(common.values()							)
	if num_same == 0:
		return 0
	snake_case_		    =     1.0 * num_same / len(_A							)
	snake_case_		    =     1.0 * num_same / len(_A							)
	snake_case_		    =     (2 * precision * recall) / (precision + recall)
	return fa


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	return normalize_answer(_A							) == normalize_answer(_A							)


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	assert len(_A							) == len(_A							)
	snake_case_		    =     0
	for hypo, pred in zip(_A     ,	_A							):
		em += exact_match_score(_A     ,	_A							)
	if len(_A							) > 0:
		em /= len(_A							)
	return {"em": em}


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return model_prefix.startswith("rag"							)






def 						lowerCamelCase__    (		_A     ,	_A     ,	_A							):







	'''simple docstring'''





	snake_case_		    =     {p: p for p in extra_params}
	# T5 models don't have `dropout` param, they have `dropout_rate` instead
	snake_case_		    =     "dropout_rate"
	for p in extra_params:
		if getattr(_A     ,	_A     ,	_A							):
			if not hasattr(_A     ,	_A							) and not hasattr(_A     ,	equivalent_param[p]							):
				logger.info("config doesn't have a `{}` attribute".format(_A							)							)
				delattr(_A     ,	_A							)
				continue
			snake_case_		    =     p if hasattr(_A     ,	_A							) else equivalent_param[p]
			setattr(_A     ,	_A     ,	getattr(_A     ,	_A							)							)
			delattr(_A     ,	_A							)
	return hparams, config






from timeit import timeit

lowercase__				:     Union[str, Any] 		=						{
    "MALAYALAM": True,
    "String": False,
    "rotor": True,
    "level": True,
    "A": True,
    "BB": True,
    "ABC": False,
    "amanaplanacanalpanama": True,  # "a man a plan a canal panama"
}
# Ensure our test data is valid
assert all((key == key[::-1]) is value for key, value in test_data.items())


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	snake_case_		    =     0
	snake_case_		    =     len(_A							) - 1
	while start_i < end_i:
		if s[start_i] == s[end_i]:
			start_i += 1
			end_i -= 1
		else:
			return False
	return True


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	snake_case_		    =     len(_A							) // 2
	snake_case_		    =     len(_A							)

	# We need to traverse till half of the length of string
	# as we can get access of the i'th last element from
	# i'th index.
	# eg: [0,1,2,3,4,5] => 4th index can be accessed
	# with the help of 1st index (i==n-i-1)
	# where n is length of string
	return all(s[i] == s[n - i - 1] for i in range(_A							)							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	if len(_A							) <= 2:
		return True
	if s[0] == s[len(_A							) - 1]:
		return is_palindrome_recursive(s[1:-1]							)
	else:
		return False


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return s == s[::-1]


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	snake_case_		    =     f"all({name}(key) is value for key, value in test_data.items())"
	snake_case_		    =     f"from __main__ import test_data, {name}"
	snake_case_		    =     500000
	snake_case_		    =     timeit(stmt=_A     ,	setup=_A     ,	number=_A							)
	print(f"{name:<35} finished {number:,} runs in {result:.5f} seconds"							)


if __name__ == "__main__":
		for key, value in test_data.items():
				assert is_palindrome(key) is is_palindrome_recursive(key)
				assert is_palindrome(key) is is_palindrome_slice(key)
				print(f'''{key:21} {value}''')
		print("a man a plan a canal panama")

		# finished 500,000 runs in 0.46793 seconds
		benchmark_function("is_palindrome_slice")
		# finished 500,000 runs in 0.85234 seconds
		benchmark_function("is_palindrome")
		# finished 500,000 runs in 1.32028 seconds
		benchmark_function("is_palindrome_recursive")
		# finished 500,000 runs in 2.08679 seconds
		benchmark_function("is_palindrome_traversal")
