# coding=utf-8
# Copyright 2022 the HuggingFace Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import os

import datasets
import json

class DebugConfig(datasets.BuilderConfig):
    """BuilderConfig for Winoground."""

    def __init__(self, **kwargs):
        """BuilderConfig for Winoground.
        Args:
          **kwargs: keyword arguments forwarded to super.
        """
        super(DebugConfig, self).__init__(**kwargs)


class Debug(datasets.GeneratorBasedBuilder):
    BUILDER_CONFIG_CLASS = DebugConfig

    BUILDER_CONFIGS = [
        DebugConfig(
            name="default",
        ),
    ]

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "cue": datasets.Value("string"),
                }
            ),
            task_templates=[],
        )

    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""

        hf_auth_token = dl_manager.download_config.use_auth_token
        if hf_auth_token is None:
            raise ConnectionError(
                "Please set use_auth_token=True or use_auth_token='<TOKEN>' to download this dataset"
            )

        downloaded_files = dl_manager.download_and_extract({
            "examples": "winogavil_dataset.csv",
        })

        return [datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs=downloaded_files)]

    def _generate_examples(self, examples):
        """Yields examples."""
        df = pd.read_csv(examples)
        print("HERE!?")
        raise Exception("E")
        for r_idx, r in df.iterrows():
            r_dict = r.to_dict()
            yield r_idx, r_dict