# coding=utf-8

# Lint as: python3
"""XWinograd"""


import json

import pandas as pd

import datasets


logger = datasets.logging.get_logger(__name__)


_CITATION = """\
@misc{tikhonov2021heads,
    title={It's All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning},
    author={Alexey Tikhonov and Max Ryabinin},
    year={2021},
    eprint={2106.12066},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}
"""

_DESCRIPTION = """\
A multilingual collection of Winograd Schemas in six languages \
that can be used for evaluation of cross-lingual commonsense reasoning capabilities.
"""


#_URL = "https://github.com/yandex-research/crosslingual_winograd/blob/main/dataset.tsv"
#_URL = "https://huggingface.co/datasets/muennighoff/xwinograd/resolve/main/data/xwinograd.tsv"
_URL = "https://huggingface.co/datasets/Muennighoff/xwinograd/resolve/main/data/xwinograd.tsv"

import json
import random

def winogrande_format(row):
    array = row["pronoun"]
    position_idx = json.loads(array)[1][0]
    # Turn unicode into proper chinese characters
    sent = str(u"{}".format(row["sent"]))
    start_idx = 0
    for i, tok in enumerate(json.loads(row["toks"])):
        tok = str(u"{}".format(tok))
        cur_start_idx = sent.find(tok)
        if i == position_idx:
            break
        sent = sent[cur_start_idx + len(tok):]
        start_idx += cur_start_idx + len(tok)
    # +1 to give room for an optional space
    row["sentence"] = row["sent"][:start_idx] + row["sent"][start_idx:start_idx+len(tok)+1].replace(tok, "_") + row["sent"][start_idx+len(tok)+1:]

    sol = json.loads(row["solution"])

    cor_answer_idx = random.choice([1, 2])
    incor_answer_idx = 2 if cor_answer_idx == 1 else 1

    cor_answer = str(u"{}".format(sol[0][0])) if sol[0][-1] == True else str(u"{}".format(sol[1][0]))
    incor_answer = str(u"{}".format(sol[0][0])) if sol[0][-1] == False else str(u"{}".format(sol[1][0]))

    row[f"option{cor_answer_idx}"] = cor_answer
    row[f"option{incor_answer_idx}"] = incor_answer
    row["answer"] = cor_answer_idx
    return row


class XWinograd(datasets.GeneratorBasedBuilder):
    """XWinograd"""

    VERSION = datasets.Version("1.0.0")
    BUILDER_CONFIGS = [
        datasets.BuilderConfig(
            name="en",
            version=VERSION,
            description="X",
        ),
        datasets.BuilderConfig(
            name="fr",
            version=VERSION,
            description="X",
        ),
        datasets.BuilderConfig(
            name="jp",
            version=VERSION,
            description="X",
        ),
        datasets.BuilderConfig(
            name="pt",
            version=VERSION,
            description="X",
        ),
        datasets.BuilderConfig(
            name="ru",
            version=VERSION,
            description="X",
        ),
        datasets.BuilderConfig(
            name="zh",
            version=VERSION,
            description="X",
        ),
    ]
    DEFAULT_CONFIG_NAME = "en"

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "sentence": datasets.Value("string"),
                    "option1": datasets.Value("string"),
                    "option2": datasets.Value("string"),
                    "answer": datasets.Value("string")
                }
            ),
            supervised_keys=None,
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        downloaded_files = dl_manager.download_and_extract(_URL)
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={'filepath': downloaded_files}
            )
        ]

    def _generate_examples(self, filepath):
        """This function returns the examples in the raw (text) form."""
        logger.info("generating examples from = %s", filepath)
        ds = pd.read_csv(
            filepath, sep='\t', header=None, 
            names=["lang", "type", "original", "sent", "toks", "pronoun", "solution"]
        )
        if self.config.name:
            ds = ds[ds["lang"] == self.config.name]
        ds = ds.apply(winogrande_format, axis=1)

        for idx, row in ds.iterrows():
            yield idx, {
                "sentence": row["sentence"],
                "option1": row["option1"],
                "option2": row["option2"],
                "answer": row["answer"],
            }