





'''simple docstring'''


import os
from dataclasses import replace

import jax
import wandb
from bigbird_flax import Args, DataCollator, FlaxBigBirdForNaturalQuestions, Trainer, build_tx, train_step, val_step
from datasets import load_dataset
from flax import jax_utils

from transformers import BigBirdTokenizerFast


if __name__ == "__main__":
       print("#################### AVAILABLE DEVICES ####################")
       print(jax.devices())
       print("###########################################################")

       # setup for wandb sweep
       _SCREAMING_SNAKE_CASE			=							Args()
       _SCREAMING_SNAKE_CASE			=							wandb.init(project="bigbird-natural-questions", config=args.__dict__)
       _SCREAMING_SNAKE_CASE			=							dict(logger.config)
       del wandb_args["batch_size"]
       _SCREAMING_SNAKE_CASE			=							replace(args, **wandb_args)
       _SCREAMING_SNAKE_CASE			=							args.base_dir + "-" + wandb.run.id
       _SCREAMING_SNAKE_CASE			=							replace(args, base_dir=base_dir)
       print(args)

       _SCREAMING_SNAKE_CASE			=							load_dataset("json", data_files=args.tr_data_path)["train"]
       _SCREAMING_SNAKE_CASE			=							load_dataset("json", data_files=args.val_data_path)["train"]

       # drop extra batch for now
       _SCREAMING_SNAKE_CASE			=							range(len(tr_dataset) - len(tr_dataset) % args.batch_size)
       _SCREAMING_SNAKE_CASE			=							tr_dataset.shuffle().select(indices)
       _SCREAMING_SNAKE_CASE			=							range(len(val_dataset) - len(val_dataset) % args.batch_size)
       _SCREAMING_SNAKE_CASE			=							val_dataset.shuffle().select(indices)

       if os.environ.get("TRAIN_ON_SMALL", "false") == "true":
              _SCREAMING_SNAKE_CASE			=							tr_dataset.shuffle().select(range(8_00_00))
              _SCREAMING_SNAKE_CASE			=							val_dataset.shuffle().select(range(80_00))

       print(tr_dataset)
       print(val_dataset)

       _SCREAMING_SNAKE_CASE			=							FlaxBigBirdForNaturalQuestions.from_pretrained(
           args.model_id, block_size=args.block_size, num_random_blocks=args.num_random_blocks
       )
       _SCREAMING_SNAKE_CASE			=							BigBirdTokenizerFast.from_pretrained(args.model_id)
       _SCREAMING_SNAKE_CASE			=							DataCollator(pad_id=tokenizer.pad_token_id, max_length=40_96)

       _SCREAMING_SNAKE_CASE			=							{
           "lr": args.lr,
           "init_lr": args.init_lr,
           "warmup_steps": args.warmup_steps,
           "num_train_steps": args.max_epochs * (len(tr_dataset) // args.batch_size),
           "weight_decay": args.weight_decay,
       }
       _SCREAMING_SNAKE_CASE	,					_SCREAMING_SNAKE_CASE			=							build_tx(**tx_args)

       _SCREAMING_SNAKE_CASE			=							Trainer(
           args=args,
           data_collator=data_collator,
           model_save_fn=model.save_pretrained,
           train_step_fn=train_step,
           val_step_fn=val_step,
           logger=logger,
           scheduler_fn=lr,
       )

       _SCREAMING_SNAKE_CASE			=							None
       _SCREAMING_SNAKE_CASE			=							trainer.create_state(model, tx, num_train_steps=tx_args["num_train_steps"], ckpt_dir=ckpt_dir)
       try:
              trainer.train(state, tr_dataset, val_dataset)
       except KeyboardInterrupt:
              print("Oooops; TRAINING STOPPED UNFORTUNATELY")

       print("SAVING WEIGHTS IN `final-weights`")
       _SCREAMING_SNAKE_CASE			=							jax_utils.unreplicate(state.params)
       model.save_pretrained(os.path.join(args.base_dir, "final-weights"), params=params)









'''simple docstring'''


import math


def 		__a(SCREAMING_SNAKE_CASE_					:   int      ):



    '''simple docstring'''





    if number == 0:
        _lowerCAmelCase		     = "Zero"
        return words
    else:
        _lowerCAmelCase		     = math.logaa(SCREAMING_SNAKE_CASE_      )
        _lowerCAmelCase		     = digits + 1
        _lowerCAmelCase		     = {}
        _lowerCAmelCase		     = ""
        _lowerCAmelCase		     = "One"
        _lowerCAmelCase		     = "Two"
        _lowerCAmelCase		     = "Three"
        _lowerCAmelCase		     = "Four"
        _lowerCAmelCase		     = "Five"
        _lowerCAmelCase		     = "Six"
        _lowerCAmelCase		     = "Seven"
        _lowerCAmelCase		     = "Eight"
        _lowerCAmelCase		     = "Nine"

        _lowerCAmelCase		     = {}
        _lowerCAmelCase		     = ""
        _lowerCAmelCase		     = "Twenty"
        _lowerCAmelCase		     = "Thirty"
        _lowerCAmelCase		     = "Forty"
        _lowerCAmelCase		     = "Fifty"
        _lowerCAmelCase		     = "Sixty"
        _lowerCAmelCase		     = "Seventy"
        _lowerCAmelCase		     = "Eighty"
        _lowerCAmelCase		     = "Ninety"

        _lowerCAmelCase		     = {}
        _lowerCAmelCase		     = "Ten"
        _lowerCAmelCase		     = "Eleven"
        _lowerCAmelCase		     = "Twelve"
        _lowerCAmelCase		     = "Thirteen"
        _lowerCAmelCase		     = "Fourteen"
        _lowerCAmelCase		     = "Fifteen"
        _lowerCAmelCase		     = "Sixteen"
        _lowerCAmelCase		     = "Seventeen"
        _lowerCAmelCase		     = "Eighteen"
        _lowerCAmelCase		     = "Nineteen"

        _lowerCAmelCase		     = {}
        _lowerCAmelCase		     = "Hundred,"
        _lowerCAmelCase		     = "Thousand,"
        _lowerCAmelCase		     = "Lakh,"
        _lowerCAmelCase		     = "Crore,"

        _lowerCAmelCase		     = number
        _lowerCAmelCase		     = ""
        _lowerCAmelCase		     = 0
        _lowerCAmelCase		     = int(SCREAMING_SNAKE_CASE_      )
        while counter < digits:
            _lowerCAmelCase		     = temp_num % 10
            if counter % 2 == 0:
                _lowerCAmelCase		     = ""
                if counter in placevalue and current != 0:
                    _lowerCAmelCase		     = placevalue[counter]
                if counter == 2:
                    _lowerCAmelCase		     = singles[current] + addition + words
                elif counter == 0:
                    if ((temp_num % 100) // 10) == 1:
                        _lowerCAmelCase		     = teens[current] + addition + words
                        _lowerCAmelCase		     = temp_num // 10
                        counter += 1
                    else:
                        _lowerCAmelCase		     = singles[current] + addition + words

                else:
                    _lowerCAmelCase		     = doubles[current] + addition + words

            else:
                if counter == 1:
                    if current == 1:
                        _lowerCAmelCase		     = teens[number % 10] + words
                    else:
                        _lowerCAmelCase		     = ""
                        if counter in placevalue:
                            _lowerCAmelCase		     = placevalue[counter]
                        _lowerCAmelCase		     = doubles[current] + addition + words
                else:
                    _lowerCAmelCase		     = ""
                    if counter in placevalue:
                        if current == 0 and ((temp_num % 100) // 10) == 0:
                            _lowerCAmelCase		     = ""
                        else:
                            _lowerCAmelCase		     = placevalue[counter]
                    if ((temp_num % 100) // 10) == 1:
                        _lowerCAmelCase		     = teens[current] + addition + words
                        _lowerCAmelCase		     = temp_num // 10
                        counter += 1
                    else:
                        _lowerCAmelCase		     = singles[current] + addition + words
            counter += 1
            _lowerCAmelCase		     = temp_num // 10
    return words


if __name__ == "__main__":
       import doctest

       doctest.testmod()


