def __post_init__()

in competitions/info.py [0:0]

• 47 lines of code
• 5 McCabe index (conditional complexity)

    def __post_init__(self):
        config_fname = hf_hub_download(
            repo_id=self.competition_id,
            filename="conf.json",
            use_auth_token=self.autotrain_token,
            repo_type="dataset",
        )
        competition_desc = hf_hub_download(
            repo_id=self.competition_id,
            filename="COMPETITION_DESC.md",
            use_auth_token=self.autotrain_token,
            repo_type="dataset",
        )
        dataset_desc = hf_hub_download(
            repo_id=self.competition_id,
            filename="DATASET_DESC.md",
            use_auth_token=self.autotrain_token,
            repo_type="dataset",
        )
        self.config = self.load_config(config_fname)
        self.competition_desc = self.load_md(competition_desc)
        self.dataset_desc = self.load_md(dataset_desc)
        try:
            submission_desc = hf_hub_download(
                repo_id=self.competition_id,
                filename="SUBMISSION_DESC.md",
                use_auth_token=self.autotrain_token,
                repo_type="dataset",
            )
            self.submission_desc = self.load_md(submission_desc)
        except Exception:
            self.submission_desc = None

        try:
            rules_md = hf_hub_download(
                repo_id=self.competition_id,
                filename="RULES.md",
                use_auth_token=self.autotrain_token,
                repo_type="dataset",
            )
            self.rules_md = self.load_md(rules_md)
        except Exception:
            self.rules_md = None

        if self.config["EVAL_METRIC"] == "custom":
            if "SCORING_METRIC" not in self.config:
                raise ValueError(
                    "For custom metrics, please provide a single SCORING_METRIC name in the competition config file: conf.json"
                )