"""Musk: A Census Dataset"""

from typing import List

import datasets

import pandas


VERSION = datasets.Version("1.0.0")
_BASE_FEATURE_NAMES = [
    "name",
    "conformation_name",
    "ray_0",
    "ray_1",
    "ray_2",
    "ray_3",
    "ray_4",
    "ray_5",
    "ray_6",
    "ray_7",
    "ray_8",
    "ray_9",
    "ray_10",
    "ray_11",
    "ray_12",
    "ray_13",
    "ray_14",
    "ray_15",
    "ray_16",
    "ray_17",
    "ray_18",
    "ray_19",
    "ray_20",
    "ray_21",
    "ray_22",
    "ray_23",
    "ray_24",
    "ray_25",
    "ray_26",
    "ray_27",
    "ray_28",
    "ray_29",
    "ray_30",
    "ray_31",
    "ray_32",
    "ray_33",
    "ray_34",
    "ray_35",
    "ray_36",
    "ray_37",
    "ray_38",
    "ray_39",
    "ray_40",
    "ray_41",
    "ray_42",
    "ray_43",
    "ray_44",
    "ray_45",
    "ray_46",
    "ray_47",
    "ray_48",
    "ray_49",
    "ray_50",
    "ray_51",
    "ray_52",
    "ray_53",
    "ray_54",
    "ray_55",
    "ray_56",
    "ray_57",
    "ray_58",
    "ray_59",
    "ray_60",
    "ray_61",
    "ray_62",
    "ray_63",
    "ray_64",
    "ray_65",
    "ray_66",
    "ray_67",
    "ray_68",
    "ray_69",
    "ray_70",
    "ray_71",
    "ray_72",
    "ray_73",
    "ray_74",
    "ray_75",
    "ray_76",
    "ray_77",
    "ray_78",
    "ray_79",
    "ray_80",
    "ray_81",
    "ray_82",
    "ray_83",
    "ray_84",
    "ray_85",
    "ray_86",
    "ray_87",
    "ray_88",
    "ray_89",
    "ray_90",
    "ray_91",
    "ray_92",
    "ray_93",
    "ray_94",
    "ray_95",
    "ray_96",
    "ray_97",
    "ray_98",
    "ray_99",
    "ray_100",
    "ray_101",
    "ray_102",
    "ray_103",
    "ray_104",
    "ray_105",
    "ray_106",
    "ray_107",
    "ray_108",
    "ray_109",
    "ray_110",
    "ray_111",
    "ray_112",
    "ray_113",
    "ray_114",
    "ray_115",
    "ray_116",
    "ray_117",
    "ray_118",
    "ray_119",
    "ray_120",
    "ray_121",
    "ray_122",
    "ray_123",
    "ray_124",
    "ray_125",
    "ray_126",
    "ray_127",
    "ray_128",
    "ray_129",
    "ray_130",
    "ray_131",
    "ray_132",
    "ray_133",
    "ray_134",
    "ray_135",
    "ray_136",
    "ray_137",
    "ray_138",
    "ray_139",
    "ray_140",
    "ray_141",
    "ray_142",
    "ray_143",
    "ray_144",
    "ray_145",
    "ray_146",
    "ray_147",
    "ray_148",
    "ray_149",
    "ray_150",
    "ray_151",
    "ray_152",
    "ray_153",
    "ray_154",
    "ray_155",
    "ray_156",
    "ray_157",
    "ray_158",
    "ray_159",
    "ray_160",
    "ray_161",
    "oxy_distance",
    "displacement_1",
    "displacement_2",
    "displacement_3",
    "is_muskV2"
]

DESCRIPTION = "Musk dataset from the UCI ML repository."
_HOMEPAGE = "https://archive.ics.uci.edu/ml/datasets/Musk"
_URLS = ("https://archive.ics.uci.edu/ml/datasets/Musk")
_CITATION = """
@misc{misc_musk_(version_2)_75,
  author       = {Chapman,David & Jain,Ajay},
  title        = {{Musk (Version 2)}},
  year         = {1994},
  howpublished = {UCI Machine Learning Repository},
  note         = {{DOI}: \\url{10.24432/C51608}}
}"""

# Dataset info
urls_per_split = {
    "train": "https://huggingface.co./datasets/mstz/muskV2/raw/main/clean1.data"
}
features_types_per_config = {
    "musk": {
        "ray_0": datasets.Value("float64"),
        "ray_1": datasets.Value("float64"),
        "ray_2": datasets.Value("float64"),
        "ray_3": datasets.Value("float64"),
        "ray_4": datasets.Value("float64"),
        "ray_5": datasets.Value("float64"),
        "ray_6": datasets.Value("float64"),
        "ray_7": datasets.Value("float64"),
        "ray_8": datasets.Value("float64"),
        "ray_9": datasets.Value("float64"),
        "ray_10": datasets.Value("float64"),
        "ray_11": datasets.Value("float64"),
        "ray_12": datasets.Value("float64"),
        "ray_13": datasets.Value("float64"),
        "ray_14": datasets.Value("float64"),
        "ray_15": datasets.Value("float64"),
        "ray_16": datasets.Value("float64"),
        "ray_17": datasets.Value("float64"),
        "ray_18": datasets.Value("float64"),
        "ray_19": datasets.Value("float64"),
        "ray_20": datasets.Value("float64"),
        "ray_21": datasets.Value("float64"),
        "ray_22": datasets.Value("float64"),
        "ray_23": datasets.Value("float64"),
        "ray_24": datasets.Value("float64"),
        "ray_25": datasets.Value("float64"),
        "ray_26": datasets.Value("float64"),
        "ray_27": datasets.Value("float64"),
        "ray_28": datasets.Value("float64"),
        "ray_29": datasets.Value("float64"),
        "ray_30": datasets.Value("float64"),
        "ray_31": datasets.Value("float64"),
        "ray_32": datasets.Value("float64"),
        "ray_33": datasets.Value("float64"),
        "ray_34": datasets.Value("float64"),
        "ray_35": datasets.Value("float64"),
        "ray_36": datasets.Value("float64"),
        "ray_37": datasets.Value("float64"),
        "ray_38": datasets.Value("float64"),
        "ray_39": datasets.Value("float64"),
        "ray_40": datasets.Value("float64"),
        "ray_41": datasets.Value("float64"),
        "ray_42": datasets.Value("float64"),
        "ray_43": datasets.Value("float64"),
        "ray_44": datasets.Value("float64"),
        "ray_45": datasets.Value("float64"),
        "ray_46": datasets.Value("float64"),
        "ray_47": datasets.Value("float64"),
        "ray_48": datasets.Value("float64"),
        "ray_49": datasets.Value("float64"),
        "ray_50": datasets.Value("float64"),
        "ray_51": datasets.Value("float64"),
        "ray_52": datasets.Value("float64"),
        "ray_53": datasets.Value("float64"),
        "ray_54": datasets.Value("float64"),
        "ray_55": datasets.Value("float64"),
        "ray_56": datasets.Value("float64"),
        "ray_57": datasets.Value("float64"),
        "ray_58": datasets.Value("float64"),
        "ray_59": datasets.Value("float64"),
        "ray_60": datasets.Value("float64"),
        "ray_61": datasets.Value("float64"),
        "ray_62": datasets.Value("float64"),
        "ray_63": datasets.Value("float64"),
        "ray_64": datasets.Value("float64"),
        "ray_65": datasets.Value("float64"),
        "ray_66": datasets.Value("float64"),
        "ray_67": datasets.Value("float64"),
        "ray_68": datasets.Value("float64"),
        "ray_69": datasets.Value("float64"),
        "ray_70": datasets.Value("float64"),
        "ray_71": datasets.Value("float64"),
        "ray_72": datasets.Value("float64"),
        "ray_73": datasets.Value("float64"),
        "ray_74": datasets.Value("float64"),
        "ray_75": datasets.Value("float64"),
        "ray_76": datasets.Value("float64"),
        "ray_77": datasets.Value("float64"),
        "ray_78": datasets.Value("float64"),
        "ray_79": datasets.Value("float64"),
        "ray_80": datasets.Value("float64"),
        "ray_81": datasets.Value("float64"),
        "ray_82": datasets.Value("float64"),
        "ray_83": datasets.Value("float64"),
        "ray_84": datasets.Value("float64"),
        "ray_85": datasets.Value("float64"),
        "ray_86": datasets.Value("float64"),
        "ray_87": datasets.Value("float64"),
        "ray_88": datasets.Value("float64"),
        "ray_89": datasets.Value("float64"),
        "ray_90": datasets.Value("float64"),
        "ray_91": datasets.Value("float64"),
        "ray_92": datasets.Value("float64"),
        "ray_93": datasets.Value("float64"),
        "ray_94": datasets.Value("float64"),
        "ray_95": datasets.Value("float64"),
        "ray_96": datasets.Value("float64"),
        "ray_97": datasets.Value("float64"),
        "ray_98": datasets.Value("float64"),
        "ray_99": datasets.Value("float64"),
        "ray_100": datasets.Value("float64"),
        "ray_101": datasets.Value("float64"),
        "ray_102": datasets.Value("float64"),
        "ray_103": datasets.Value("float64"),
        "ray_104": datasets.Value("float64"),
        "ray_105": datasets.Value("float64"),
        "ray_106": datasets.Value("float64"),
        "ray_107": datasets.Value("float64"),
        "ray_108": datasets.Value("float64"),
        "ray_109": datasets.Value("float64"),
        "ray_110": datasets.Value("float64"),
        "ray_111": datasets.Value("float64"),
        "ray_112": datasets.Value("float64"),
        "ray_113": datasets.Value("float64"),
        "ray_114": datasets.Value("float64"),
        "ray_115": datasets.Value("float64"),
        "ray_116": datasets.Value("float64"),
        "ray_117": datasets.Value("float64"),
        "ray_118": datasets.Value("float64"),
        "ray_119": datasets.Value("float64"),
        "ray_120": datasets.Value("float64"),
        "ray_121": datasets.Value("float64"),
        "ray_122": datasets.Value("float64"),
        "ray_123": datasets.Value("float64"),
        "ray_124": datasets.Value("float64"),
        "ray_125": datasets.Value("float64"),
        "ray_126": datasets.Value("float64"),
        "ray_127": datasets.Value("float64"),
        "ray_128": datasets.Value("float64"),
        "ray_129": datasets.Value("float64"),
        "ray_130": datasets.Value("float64"),
        "ray_131": datasets.Value("float64"),
        "ray_132": datasets.Value("float64"),
        "ray_133": datasets.Value("float64"),
        "ray_134": datasets.Value("float64"),
        "ray_135": datasets.Value("float64"),
        "ray_136": datasets.Value("float64"),
        "ray_137": datasets.Value("float64"),
        "ray_138": datasets.Value("float64"),
        "ray_139": datasets.Value("float64"),
        "ray_140": datasets.Value("float64"),
        "ray_141": datasets.Value("float64"),
        "ray_142": datasets.Value("float64"),
        "ray_143": datasets.Value("float64"),
        "ray_144": datasets.Value("float64"),
        "ray_145": datasets.Value("float64"),
        "ray_146": datasets.Value("float64"),
        "ray_147": datasets.Value("float64"),
        "ray_148": datasets.Value("float64"),
        "ray_149": datasets.Value("float64"),
        "ray_150": datasets.Value("float64"),
        "ray_151": datasets.Value("float64"),
        "ray_152": datasets.Value("float64"),
        "ray_153": datasets.Value("float64"),
        "ray_154": datasets.Value("float64"),
        "ray_155": datasets.Value("float64"),
        "ray_156": datasets.Value("float64"),
        "ray_157": datasets.Value("float64"),
        "ray_158": datasets.Value("float64"),
        "ray_159": datasets.Value("float64"),
        "ray_160": datasets.Value("float64"),
        "ray_161": datasets.Value("float64"),
        "oxy_distance": datasets.Value("float64"),
        "displacement_1": datasets.Value("float64"),
        "displacement_2": datasets.Value("float64"),
        "displacement_3": datasets.Value("float64"),
        "is_musk": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
    }
}
features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}


class MuskConfig(datasets.BuilderConfig):
    def __init__(self, **kwargs):
        super(MuskConfig, self).__init__(version=VERSION, **kwargs)
        self.features = features_per_config[kwargs["name"]]


class Musk(datasets.GeneratorBasedBuilder):
    # dataset versions
    DEFAULT_CONFIG = "musk"
    BUILDER_CONFIGS = [
        MuskConfig(name="musk",
                    description="Musk for binary classification.")
    ]


    def _info(self):       
        info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE,
                                    features=features_per_config[self.config.name])

        return info
    
    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
        downloads = dl_manager.download_and_extract(urls_per_split)

        return [
            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads["train"]})
        ]
    
    def _generate_examples(self, filepath: str):
        data = pandas.read_csv(filepath, header=None)
        data.columns = _BASE_FEATURE_NAMES
        data.drop("name", axis="columns", inplace=True)
        data.drop("conformation_name", axis="columns", inplace=True)

        for row_id, row in data.iterrows():
            data_row = dict(row)

            yield row_id, data_row