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from typing import List

import datasets

import pandas


VERSION = datasets.Version("1.0.0")

DESCRIPTION = "Arhythmia dataset from the UCI ML repository."
_HOMEPAGE = "https://archive-beta.ics.uci.edu/dataset/5/arrhythmia"
_URLS = ("https://archive-beta.ics.uci.edu/dataset/5/arrhythmia")
_CITATION = """
@misc{misc_arrhythmia_5,
  author       = {Guvenir,H., Acar,Burak & Muderrisoglu,Haldun},
  title        = {{Arrhythmia}},
  year         = {1998},
  howpublished = {UCI Machine Learning Repository},
  note         = {{DOI}: \\url{10.24432/C5BS32}}
}"""

# Dataset info
urls_per_split = {
    "train": "https://huggingface.co/datasets/mstz/arhythmia/raw/main/arrhythmia.data"
}
features_types_per_config = {
    "arhythmia": {
        "age": datasets.Value("int8"),
        "is_female": datasets.Value("bool"),
        "height": datasets.Value("float64"),
        "weight": datasets.Value("float64"),
        "qrs_duration": datasets.Value("float64"),
        "p_r_interval": datasets.Value("float64"),
        "q_t_interval": datasets.Value("float64"),
        "t_interval": datasets.Value("float64"),
        "p_interval": datasets.Value("float64"),
        "qrs": datasets.Value("float64"),
        "t": datasets.Value("float64"),
        "p": datasets.Value("float64"),
        "qrst": datasets.Value("float64"),
        "j": datasets.Value("float64"),
        "heart_rate": datasets.Value("float64"),
        "average_witdth_of_wave_q_on_DI": datasets.Value("float64"),
        "average_witdth_of_wave_r_on_DI": datasets.Value("float64"),
        "average_witdth_of_wave_s_on_DI": datasets.Value("float64"),
        "average_witdth_of_wave_rprime_on_DI": datasets.Value("float64"),
        "average_witdth_of_wave_sprime_on_DI": datasets.Value("float64"),
        "number_of_deflections_on_DI": datasets.Value("float64"),
        "type_of_ragged_r_wave_on_DI": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_r_wave_on_DI": datasets.Value("float64"),
        "type_of_ragged_p_wave_on_DI": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_p_wave_on_DI": datasets.Value("float64"),
        "type_of_ragged_t_wave_on_DI": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_t_wave_on_DI": datasets.Value("float64"),
        "average_witdth_of_wave_q_on_DII": datasets.Value("float64"),
        "average_witdth_of_wave_r_on_DII": datasets.Value("float64"),
        "average_witdth_of_wave_s_on_DII": datasets.Value("float64"),
        "average_witdth_of_wave_rprime_on_DII": datasets.Value("float64"),
        "average_witdth_of_wave_sprime_on_DII": datasets.Value("float64"),
        "number_of_deflections_on_DII": datasets.Value("float64"),
        "type_of_ragged_r_wave_on_DII": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_r_wave_on_DII": datasets.Value("float64"),
        "type_of_ragged_p_wave_on_DII": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_p_wave_on_DII": datasets.Value("float64"),
        "type_of_ragged_t_wave_on_DII": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_t_wave_on_DII": datasets.Value("float64"),
        "average_witdth_of_wave_q_on_DIII": datasets.Value("float64"),
        "average_witdth_of_wave_r_on_DIII": datasets.Value("float64"),
        "average_witdth_of_wave_s_on_DIII": datasets.Value("float64"),
        "average_witdth_of_wave_rprime_on_DIII": datasets.Value("float64"),
        "average_witdth_of_wave_sprime_on_DIII": datasets.Value("float64"),
        "number_of_deflections_on_DIII": datasets.Value("float64"),
        "type_of_ragged_r_wave_on_DIII": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_r_wave_on_DIII": datasets.Value("float64"),
        "type_of_ragged_p_wave_on_DIII": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_p_wave_on_DIII": datasets.Value("float64"),
        "type_of_ragged_t_wave_on_DIII": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_t_wave_on_DIII": datasets.Value("float64"),
        "average_witdth_of_wave_q_on_AVR": datasets.Value("float64"),
        "average_witdth_of_wave_r_on_AVR": datasets.Value("float64"),
        "average_witdth_of_wave_s_on_AVR": datasets.Value("float64"),
        "average_witdth_of_wave_rprime_on_AVR": datasets.Value("float64"),
        "average_witdth_of_wave_sprime_on_AVR": datasets.Value("float64"),
        "number_of_deflections_on_AVR": datasets.Value("float64"),
        "type_of_ragged_r_wave_on_AVR": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_r_wave_on_AVR": datasets.Value("float64"),
        "type_of_ragged_p_wave_on_AVR": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_p_wave_on_AVR": datasets.Value("float64"),
        "type_of_ragged_t_wave_on_AVR": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_t_wave_on_AVR": datasets.Value("float64"),
        "average_witdth_of_wave_q_on_AVL": datasets.Value("float64"),
        "average_witdth_of_wave_r_on_AVL": datasets.Value("float64"),
        "average_witdth_of_wave_s_on_AVL": datasets.Value("float64"),
        "average_witdth_of_wave_rprime_on_AVL": datasets.Value("float64"),
        "average_witdth_of_wave_sprime_on_AVL": datasets.Value("float64"),
        "number_of_deflections_on_AVL": datasets.Value("float64"),
        "type_of_ragged_r_wave_on_AVL": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_r_wave_on_AVL": datasets.Value("float64"),
        "type_of_ragged_p_wave_on_AVL": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_p_wave_on_AVL": datasets.Value("float64"),
        "type_of_ragged_t_wave_on_AVL": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_t_wave_on_AVL": datasets.Value("float64"),
        "average_witdth_of_wave_q_on_AVF": datasets.Value("float64"),
        "average_witdth_of_wave_r_on_AVF": datasets.Value("float64"),
        "average_witdth_of_wave_s_on_AVF": datasets.Value("float64"),
        "average_witdth_of_wave_rprime_on_AVF": datasets.Value("float64"),
        "average_witdth_of_wave_sprime_on_AVF": datasets.Value("float64"),
        "number_of_deflections_on_AVF": datasets.Value("float64"),
        "type_of_ragged_r_wave_on_AVF": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_r_wave_on_AVF": datasets.Value("float64"),
        "type_of_ragged_p_wave_on_AVF": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_p_wave_on_AVF": datasets.Value("float64"),
        "type_of_ragged_t_wave_on_AVF": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_t_wave_on_AVF": datasets.Value("float64"),
        "average_witdth_of_wave_q_on_V1": datasets.Value("float64"),
        "average_witdth_of_wave_r_on_V1": datasets.Value("float64"),
        "average_witdth_of_wave_s_on_V1": datasets.Value("float64"),
        "average_witdth_of_wave_rprime_on_V1": datasets.Value("float64"),
        "average_witdth_of_wave_sprime_on_V1": datasets.Value("float64"),
        "number_of_deflections_on_V1": datasets.Value("float64"),
        "type_of_ragged_r_wave_on_V1": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_r_wave_on_V1": datasets.Value("float64"),
        "type_of_ragged_p_wave_on_V1": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_p_wave_on_V1": datasets.Value("float64"),
        "type_of_ragged_t_wave_on_V1": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_t_wave_on_V1": datasets.Value("float64"),
        "average_witdth_of_wave_q_on_V2": datasets.Value("float64"),
        "average_witdth_of_wave_r_on_V2": datasets.Value("float64"),
        "average_witdth_of_wave_s_on_V2": datasets.Value("float64"),
        "average_witdth_of_wave_rprime_on_V2": datasets.Value("float64"),
        "average_witdth_of_wave_sprime_on_V2": datasets.Value("float64"),
        "number_of_deflections_on_V2": datasets.Value("float64"),
        "type_of_ragged_r_wave_on_V2": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_r_wave_on_V2": datasets.Value("float64"),
        "type_of_ragged_p_wave_on_V2": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_p_wave_on_V2": datasets.Value("float64"),
        "type_of_ragged_t_wave_on_V2": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_t_wave_on_V2": datasets.Value("float64"),
        "average_witdth_of_wave_q_on_V3": datasets.Value("float64"),
        "average_witdth_of_wave_r_on_V3": datasets.Value("float64"),
        "average_witdth_of_wave_s_on_V3": datasets.Value("float64"),
        "average_witdth_of_wave_rprime_on_V3": datasets.Value("float64"),
        "average_witdth_of_wave_sprime_on_V3": datasets.Value("float64"),
        "number_of_deflections_on_V3": datasets.Value("float64"),
        "type_of_ragged_r_wave_on_V3": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_r_wave_on_V3": datasets.Value("float64"),
        "type_of_ragged_p_wave_on_V3": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_p_wave_on_V3": datasets.Value("float64"),
        "type_of_ragged_t_wave_on_V3": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_t_wave_on_V3": datasets.Value("float64"),
        "average_witdth_of_wave_q_on_V4": datasets.Value("float64"),
        "average_witdth_of_wave_r_on_V4": datasets.Value("float64"),
        "average_witdth_of_wave_s_on_V4": datasets.Value("float64"),
        "average_witdth_of_wave_rprime_on_V4": datasets.Value("float64"),
        "average_witdth_of_wave_sprime_on_V4": datasets.Value("float64"),
        "number_of_deflections_on_V4": datasets.Value("float64"),
        "type_of_ragged_r_wave_on_V4": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_r_wave_on_V4": datasets.Value("float64"),
        "type_of_ragged_p_wave_on_V4": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_p_wave_on_V4": datasets.Value("float64"),
        "type_of_ragged_t_wave_on_V4": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_t_wave_on_V4": datasets.Value("float64"),
        "average_witdth_of_wave_q_on_V5": datasets.Value("float64"),
        "average_witdth_of_wave_r_on_V5": datasets.Value("float64"),
        "average_witdth_of_wave_s_on_V5": datasets.Value("float64"),
        "average_witdth_of_wave_rprime_on_V5": datasets.Value("float64"),
        "average_witdth_of_wave_sprime_on_V5": datasets.Value("float64"),
        "number_of_deflections_on_V5": datasets.Value("float64"),
        "type_of_ragged_r_wave_on_V5": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_r_wave_on_V5": datasets.Value("float64"),
        "type_of_ragged_p_wave_on_V5": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_p_wave_on_V5": datasets.Value("float64"),
        "type_of_ragged_t_wave_on_V5": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_t_wave_on_V5": datasets.Value("float64"),
        "average_witdth_of_wave_q_on_V6": datasets.Value("float64"),
        "average_witdth_of_wave_r_on_V6": datasets.Value("float64"),
        "average_witdth_of_wave_s_on_V6": datasets.Value("float64"),
        "average_witdth_of_wave_rprime_on_V6": datasets.Value("float64"),
        "average_witdth_of_wave_sprime_on_V6": datasets.Value("float64"),
        "number_of_deflections_on_V6": datasets.Value("float64"),
        "type_of_ragged_r_wave_on_V6": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_r_wave_on_V6": datasets.Value("float64"),
        "type_of_ragged_p_wave_on_V6": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_p_wave_on_V6": datasets.Value("float64"),
        "type_of_ragged_t_wave_on_V6": datasets.Value("float64"),
        "type_of_diphasic_derivation_of_t_wave_on_V6": datasets.Value("float64"),
        "amplitude_of_jj_wave_on_DI": datasets.Value("float64"),
        "amplitude_of_q_wave_on_DI": datasets.Value("float64"),
        "amplitude_of_r_wave_on_DI": datasets.Value("float64"),
        "amplitude_of_s_wave_on_DI": datasets.Value("float64"),
        "amplitude_of_rprime_wave_on_DI": datasets.Value("float64"),
        "amplitude_of_sprime_wave_on_DI": datasets.Value("float64"),
        "amplitude_of_p_wave_on_DI": datasets.Value("float64"),
        "amplitude_of_t_wave_on_DI": datasets.Value("float64"),
        "qrsa_on_DI": datasets.Value("float64"),
        "qrsta_on_DI": datasets.Value("float64"),
        "amplitude_of_jj_wave_on_DII": datasets.Value("float64"),
        "amplitude_of_q_wave_on_DII": datasets.Value("float64"),
        "amplitude_of_r_wave_on_DII": datasets.Value("float64"),
        "amplitude_of_s_wave_on_DII": datasets.Value("float64"),
        "amplitude_of_rprime_wave_on_DII": datasets.Value("float64"),
        "amplitude_of_sprime_wave_on_DII": datasets.Value("float64"),
        "amplitude_of_p_wave_on_DII": datasets.Value("float64"),
        "amplitude_of_t_wave_on_DII": datasets.Value("float64"),
        "qrsa_on_DII": datasets.Value("float64"),
        "qrsta_on_DII": datasets.Value("float64"),
        "amplitude_of_jj_wave_on_DIII": datasets.Value("float64"),
        "amplitude_of_q_wave_on_DIII": datasets.Value("float64"),
        "amplitude_of_r_wave_on_DIII": datasets.Value("float64"),
        "amplitude_of_s_wave_on_DIII": datasets.Value("float64"),
        "amplitude_of_rprime_wave_on_DIII": datasets.Value("float64"),
        "amplitude_of_sprime_wave_on_DIII": datasets.Value("float64"),
        "amplitude_of_p_wave_on_DIII": datasets.Value("float64"),
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        "amplitude_of_t_wave_on_AVF": datasets.Value("float64"),
        "qrsa_on_AVF": datasets.Value("float64"),
        "qrsta_on_AVF": datasets.Value("float64"),
        "amplitude_of_jj_wave_on_V1": datasets.Value("float64"),
        "amplitude_of_q_wave_on_V1": datasets.Value("float64"),
        "amplitude_of_r_wave_on_V1": datasets.Value("float64"),
        "amplitude_of_s_wave_on_V1": datasets.Value("float64"),
        "amplitude_of_rprime_wave_on_V1": datasets.Value("float64"),
        "amplitude_of_sprime_wave_on_V1": datasets.Value("float64"),
        "amplitude_of_p_wave_on_V1": datasets.Value("float64"),
        "amplitude_of_t_wave_on_V1": datasets.Value("float64"),
        "qrsa_on_V1": datasets.Value("float64"),
        "qrsta_on_V1": datasets.Value("float64"),
        "amplitude_of_jj_wave_on_V2": datasets.Value("float64"),
        "amplitude_of_q_wave_on_V2": datasets.Value("float64"),
        "amplitude_of_r_wave_on_V2": datasets.Value("float64"),
        "amplitude_of_s_wave_on_V2": datasets.Value("float64"),
        "amplitude_of_rprime_wave_on_V2": datasets.Value("float64"),
        "amplitude_of_sprime_wave_on_V2": datasets.Value("float64"),
        "amplitude_of_p_wave_on_V2": datasets.Value("float64"),
        "amplitude_of_t_wave_on_V2": datasets.Value("float64"),
        "qrsa_on_V2": datasets.Value("float64"),
        "qrsta_on_V2": datasets.Value("float64"),
        "amplitude_of_jj_wave_on_V3": datasets.Value("float64"),
        "amplitude_of_q_wave_on_V3": datasets.Value("float64"),
        "amplitude_of_r_wave_on_V3": datasets.Value("float64"),
        "amplitude_of_s_wave_on_V3": datasets.Value("float64"),
        "amplitude_of_rprime_wave_on_V3": datasets.Value("float64"),
        "amplitude_of_sprime_wave_on_V3": datasets.Value("float64"),
        "amplitude_of_p_wave_on_V3": datasets.Value("float64"),
        "amplitude_of_t_wave_on_V3": datasets.Value("float64"),
        "qrsa_on_V3": datasets.Value("float64"),
        "qrsta_on_V3": datasets.Value("float64"),
        "amplitude_of_jj_wave_on_V4": datasets.Value("float64"),
        "amplitude_of_q_wave_on_V4": datasets.Value("float64"),
        "amplitude_of_r_wave_on_V4": datasets.Value("float64"),
        "amplitude_of_s_wave_on_V4": datasets.Value("float64"),
        "amplitude_of_rprime_wave_on_V4": datasets.Value("float64"),
        "amplitude_of_sprime_wave_on_V4": datasets.Value("float64"),
        "amplitude_of_p_wave_on_V4": datasets.Value("float64"),
        "amplitude_of_t_wave_on_V4": datasets.Value("float64"),
        "qrsa_on_V4": datasets.Value("float64"),
        "qrsta_on_V4": datasets.Value("float64"),
        "amplitude_of_jj_wave_on_V5": datasets.Value("float64"),
        "amplitude_of_q_wave_on_V5": datasets.Value("float64"),
        "amplitude_of_r_wave_on_V5": datasets.Value("float64"),
        "amplitude_of_s_wave_on_V5": datasets.Value("float64"),
        "amplitude_of_rprime_wave_on_V5": datasets.Value("float64"),
        "amplitude_of_sprime_wave_on_V5": datasets.Value("float64"),
        "amplitude_of_p_wave_on_V5": datasets.Value("float64"),
        "amplitude_of_t_wave_on_V5": datasets.Value("float64"),
        "qrsa_on_V5": datasets.Value("float64"),
        "qrsta_on_V5": datasets.Value("float64"),
        "amplitude_of_jj_wave_on_V6": datasets.Value("float64"),
        "amplitude_of_q_wave_on_V6": datasets.Value("float64"),
        "amplitude_of_r_wave_on_V6": datasets.Value("float64"),
        "amplitude_of_s_wave_on_V6": datasets.Value("float64"),
        "amplitude_of_rprime_wave_on_V6": datasets.Value("float64"),
        "amplitude_of_sprime_wave_on_V6": datasets.Value("float64"),
        "amplitude_of_p_wave_on_V6": datasets.Value("float64"),
        "amplitude_of_t_wave_on_V6": datasets.Value("float64"),
        "qrsa_on_V6": datasets.Value("float64"),
        "qrsta_on_V6": datasets.Value("float64"),
        "has_arhythmia": 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 ArhythmiaConfig(datasets.BuilderConfig):
    def __init__(self, **kwargs):
        super(ArhythmiaConfig, self).__init__(version=VERSION, **kwargs)
        self.features = features_per_config[kwargs["name"]]


class Arhythmia(datasets.GeneratorBasedBuilder):
    # dataset versions
    DEFAULT_CONFIG = "arhythmia"
    BUILDER_CONFIGS = [
        ArhythmiaConfig(name="arhythmia",
                    description="Multiclass classification of arhythmia type."),
        ArhythmiaConfig(name="has_arhythmia",
                    description="Binary classification of arhythmia."),
    ]


    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)
        data = self.preprocess(data, config=self.config.name)

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

            yield row_id, data_row

    def preprocess(self, data: pandas.DataFrame, config: str = DEFAULT_CONFIG) -> pandas.DataFrame:
        data = data[(data.t != "?") & (data.qrst != "?") & (data.p != "?") & (data.j != "?") & (data.heart_rate != "?")]
        data = data.astype({"t": int, "qrst": int, "p": int, "j": int, "heart_rate": int,
                           "is_female": bool})
        if "type_of_arrhythmia" in data.columns:
            data = data.rename(columns={"type_of_arrhythmia": "type_of_arhythmia"})
        
        label_encoding = {
            1: 0,
            2: 1,
            3: 2,
            4: 3,
            5: 4,
            6: 5,
            7: 6,
            8: 7,
            9: 8,
            10: 9,
            14: 10,
            15: 11,
            16: 12,
        }
        data.loc[:, "type_of_arhythmia"] = data["type_of_arhythmia"].apply(lambda x: label_encoding[x])

        if config == "has_arhythmia":
            data.loc[:, "type_of_arhythmia"] = data["type_of_arhythmia"].apply(lambda x: 0 if x == 0 else 1)
            data = data.rename(columns={"type_of_arhythmia": "has_arhythmia"})

        return data[list(features_types_per_config[config].keys())]