






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





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case=None       ,			):
     __lowerCAmelCase             =       input_ids.ne(__snake_case							).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      (a_      ):


      def __init__(						self       ,    __UpperCamelCase       ,    __UpperCamelCase       ,    __UpperCamelCase       ,    __UpperCamelCase       ,    __UpperCamelCase="train"       ,    __UpperCamelCase=None       ,    __UpperCamelCase=None       ,    __UpperCamelCase=None       ,    __UpperCamelCase=""       ,    )->						List[Any]:
           super().__init__()
           __lowerCAmelCase             =       Path(__UpperCamelCase						).joinpath(type_path + ".source"						)
           __lowerCAmelCase             =       Path(__UpperCamelCase						).joinpath(type_path + ".target"						)
           __lowerCAmelCase             =       self.get_char_lens(self.src_file						)
           __lowerCAmelCase             =       max_source_length
           __lowerCAmelCase             =       max_target_length
           assert min(self.src_lens						) > 0, F"""found empty line in {self.src_file}"""
           __lowerCAmelCase             =       tokenizer
           __lowerCAmelCase             =       prefix
           if n_obs is not None:
                __lowerCAmelCase             =       self.src_lens[:n_obs]
           __lowerCAmelCase             =       src_lang
           __lowerCAmelCase             =       tgt_lang


      def __len__(						self						)->						Any:
           return len(self.src_lens						)


      def __getitem__(						self       ,    __UpperCamelCase						)->						Dict[str, torch.Tensor]:
           __lowerCAmelCase             =       index + 1  # linecache starts at 1
           __lowerCAmelCase             =       self.prefix + linecache.getline(str(self.src_file						)       ,    __UpperCamelCase						).rstrip("\n"						)
           __lowerCAmelCase             =       linecache.getline(str(self.tgt_file						)       ,    __UpperCamelCase						).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       ,    __UpperCamelCase						):
                source_line += self.tokenizer.eos_token
                tgt_line += self.tokenizer.eos_token

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

           __lowerCAmelCase             =       encode_line(__UpperCamelCase       ,    __UpperCamelCase       ,    self.max_source_length       ,    "right"						)
           __lowerCAmelCase             =       encode_line(__UpperCamelCase       ,    __UpperCamelCase       ,    self.max_target_length       ,    "right"						)

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


      @staticmethod
      def 			__UpperCAmelCase		(						__UpperCamelCase						)->						List[Any]:
           return [len(__UpperCamelCase						) for x in Path(__UpperCamelCase						).open().readlines()]


      def 			__UpperCAmelCase		(						self       ,    __UpperCamelCase						)->						Dict[str, torch.Tensor]:
           __lowerCAmelCase             =       torch.stack([x["input_ids"] for x in batch]						)
           __lowerCAmelCase             =       torch.stack([x["attention_mask"] for x in batch]						)
           __lowerCAmelCase             =       torch.stack([x["decoder_input_ids"] for x in batch]						)
           __lowerCAmelCase             =       (
               self.tokenizer.generator.pad_token_id
               if isinstance(self.tokenizer       ,    __UpperCamelCase						)
               else self.tokenizer.pad_token_id
           )
           __lowerCAmelCase             =       (
               self.tokenizer.question_encoder.pad_token_id
               if isinstance(self.tokenizer       ,    __UpperCamelCase						)
               else self.tokenizer.pad_token_id
           )
           __lowerCAmelCase             =       trim_batch(__UpperCamelCase       ,    __UpperCamelCase						)
           __lowerCAmelCase      ,			__lowerCAmelCase             =       trim_batch(__UpperCamelCase       ,    __UpperCamelCase       ,    attention_mask=__UpperCamelCase						)
           __lowerCAmelCase             =       {
               "input_ids": source_ids,
               "attention_mask": source_mask,
               "decoder_input_ids": y,
           }
           return batch

lowerCamelCase      :       str    =						getLogger(__name__)





def    __lowerCAmelCase   (    __snake_case							):
     return list(itertools.chain.from_iterable(__snake_case							)							)





def    __lowerCAmelCase   (    __snake_case							):
     __lowerCAmelCase             =       get_git_info()
     save_json(__snake_case       ,			os.path.join(__snake_case       ,			"git_log.json"							)							)





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case=4       ,			**__snake_case							):
     with open(__snake_case       ,			"w"							) as f:
          json.dump(__snake_case       ,			__snake_case       ,			indent=__snake_case       ,			**__snake_case							)





def    __lowerCAmelCase   (    __snake_case							):
     with open(__snake_case							) as f:
          return json.load(__snake_case							)





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





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case							):
     return list(map(__snake_case       ,			__snake_case							)							)





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case							):
     with open(__snake_case       ,			"wb"							) as f:
          return pickle.dump(__snake_case       ,			__snake_case							)





def    __lowerCAmelCase   (    __snake_case							):

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

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

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

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

     return white_space_fix(remove_articles(remove_punc(lower(__snake_case							)							)							)							)





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





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case							):
     return normalize_answer(__snake_case							) == normalize_answer(__snake_case							)





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





def    __lowerCAmelCase   (    __snake_case							):
     return model_prefix.startswith("rag"							)





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














# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
lowerCamelCase      :       Dict    =						abspath(join(dirname(dirname(__file__)), '''src'''))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='''ignore''', category=FutureWarning)





def    __lowerCAmelCase   (    __snake_case							):
     from diffusers.utils.testing_utils import pytest_addoption_shared

     pytest_addoption_shared(__snake_case							)





def    __lowerCAmelCase   (    __snake_case							):
     from diffusers.utils.testing_utils import pytest_terminal_summary_main

     __lowerCAmelCase             =       terminalreporter.config.getoption("--make-reports"							)
     if make_reports:
          pytest_terminal_summary_main(__snake_case       ,			id=__snake_case							)






