"""
Language Models are Few-Shot Learners
https://arxiv.org/pdf/2005.14165.pdf

A small battery of 10 tests that involve asking language models a simple arithmetic
problem in natural language.

Homepage: https://github.com/openai/gpt-3/tree/master/data
"""
import abc
import json
import os
from collections import namedtuple
from lm_eval.base import Task, rf
from lm_eval.metrics import mean
from best_download import download_file


_CITATION = """
@inproceedings{NEURIPS2020_1457c0d6,
    author = {Brown, Tom and Mann, Benjamin and Ryder, Nick and Subbiah, Melanie and Kaplan, Jared D and Dhariwal, Prafulla and Neelakantan, Arvind and Shyam, Pranav and Sastry, Girish and Askell, Amanda and Agarwal, Sandhini and Herbert-Voss, Ariel and Krueger, Gretchen and Henighan, Tom and Child, Rewon and Ramesh, Aditya and Ziegler, Daniel and Wu, Jeffrey and Winter, Clemens and Hesse, Chris and Chen, Mark and Sigler, Eric and Litwin, Mateusz and Gray, Scott and Chess, Benjamin and Clark, Jack and Berner, Christopher and McCandlish, Sam and Radford, Alec and Sutskever, Ilya and Amodei, Dario},
    booktitle = {Advances in Neural Information Processing Systems},
    editor = {H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin},
    pages = {1877--1901},
    publisher = {Curran Associates, Inc.},
    title = {Language Models are Few-Shot Learners},
    url = {https://proceedings.neurips.cc/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf},
    volume = {33},
    year = {2020}
}
"""


ArithmeticDoc = namedtuple('ArithmeticDoc', ['context', 'completion'])


class Arithmetic(Task):
    VERSION = 0
    directory = 'data/arithmetic/'

    def __init__(self):
        super().__init__()

    def download(self):
        file_name, checksum = self.get_file_download_info()
        url = 'https://raw.githubusercontent.com/openai/gpt-3/master/data/' + file_name
        if not os.path.exists(self.directory):
            os.makedirs(self.directory)
        download_file(url, local_file=self.directory+file_name, expected_checksum=checksum)
        self.set_docs()

    @abc.abstractmethod
    def get_file_download_info(self):
        """returns a tuple of (file_name, checksum)"""
        pass

    def set_docs(self):
        file_name, _ = self.get_file_download_info()
        jsons = open(self.directory+file_name, 'r')
        self._docs = [self.load_doc(json.loads(line)) for line in jsons]

    def has_training_docs(self):
        return False

    def has_validation_docs(self):
        return True

    def has_test_docs(self):
        return False

    def training_docs(self):
        return NotImplemented

    def validation_docs(self):
        return self._docs

    def test_docs(self):
        return NotImplemented
    
    def doc_to_text(self, doc):
        return doc.context

    def doc_to_target(self, doc):
        return doc.completion

    def load_doc(self, doc_json):
        return ArithmeticDoc(context=doc_json['context'].strip()
            .replace('\n\n', '\n')
            .replace('Q:', 'Question:')
            .replace('A:', 'Answer:'), completion=doc_json['completion'])
    
    def construct_requests(self, doc, ctx):
        ll, is_prediction = rf.loglikelihood(ctx, doc.completion)
        return is_prediction

    def process_results(self, doc, results):
        is_prediction, = results
        return {
            "acc": is_prediction
        }

    def aggregation(self):
        return {
            "acc": mean,
        }

    def higher_is_better(self):
        return {
            "acc": True
        }


class Arithmetic2DPlus(Arithmetic):
    def get_file_download_info(self):
        return 'two_digit_addition.jsonl', '75a54b7a3db3b23369df74fe440c23025f3d3c51f664300bd3d56632b2617b3d'

class Arithmetic2DMinus(Arithmetic):
    def get_file_download_info(self):
        return 'two_digit_subtraction.jsonl', 'da956066ff108c00b341d360567472784f5fd872d6465071b44a14291205bc03'

class Arithmetic3DPlus(Arithmetic):
    def get_file_download_info(self):
        return 'three_digit_addition.jsonl', '124865e30efd2abfbc1855dd34c218fc02d32d780ace970ab9b4ea3fa74c798b'

class Arithmetic3DMinus(Arithmetic):
    def get_file_download_info(self):
        return 'three_digit_subtraction.jsonl', '7fc6aaedcb0e2bd17c398dd4147c5585b1e608278a8e98b914e69656707d6a29'

class Arithmetic4DPlus(Arithmetic):
    def get_file_download_info(self):
        return 'four_digit_addition.jsonl', '459c6f75baa2e8d7cf50bdd07db6d0ca9133a6b137d95d09267db85b6e07f391'

class Arithmetic4DMinus(Arithmetic):
    def get_file_download_info(self):
        return 'four_digit_subtraction.jsonl', '0c47db40a10c052ef0cf732a9ef2edaa53d66377d43eb47a9c382d33a8af7102'

class Arithmetic5DPlus(Arithmetic):
    def get_file_download_info(self):
        return 'five_digit_addition.jsonl', '30ada42efe315b958c6e9649274005d3b720e50298e92c3a2d321f8996e58f54'

class Arithmetic5DMinus(Arithmetic):
    def get_file_download_info(self):
        return 'five_digit_subtraction.jsonl', '8b98ccfc943cbf9193bcf1984954aa0b1a4527016072d972a2b055cc1482ca3c'

class Arithmetic2DMultiplication(Arithmetic):
    def get_file_download_info(self):
        return 'two_digit_multiplication.jsonl', '5613d1d1cc3b2c03edc1990252247d34c10ec82944b2cdeb19e71b00f237f431'

class Arithmetic1DComposite(Arithmetic):
   def get_file_download_info(self):
        return 'single_digit_three_ops.jsonl', '08b34e3272a8ff1d4932d63f251519d14c485c38d582366e1e323d0b859c3925'