def from_string(configuration: str) -> "PiecewiseLinearFn":
        """
        Parse the configuration of lambda coefficient (for scheduling).
        x = "3"                  # lambda will be a constant equal to x
        x = "0:1,1000:0"         # lambda will start from 1 and linearly decrease
                                 # to 0 during the first 1000 iterations
        x = "0:0,1000:0,2000:1"  # lambda will be equal to 0 for the first 1000
                                 # iterations, then will linearly increase to 1 until iteration 2000
        """
        if isinstance(configuration, float):
            return PiecewiseLinearFn([(0, configuration)])

        try:
            parts = configuration.split(",")
            if len(parts) == 1:
                v = float(configuration)
                return PiecewiseLinearFn([(0, v)])

            split = [s.split(":") for s in parts]
            pieces = [(int(t), float(v)) for t, v in split]
            return PiecewiseLinearFn(pieces)
        except Exception:
            raise ValueError(
                f"Invalid PiecewiseLinearFn configuration: {configuration!r}"
            )

        Parse the configuration of lambda coefficient (for scheduling).
        x = "3"                  # lambda will be a constant equal to x
        x = "0:1,1000:0"         # lambda will start from 1 and linearly decrease
                                 # to 0 during the first 1000 iterations
        x = "0:0,1000:0,2000:1"  # lambda will be equal to 0 for the first 1000
                                 # iterations, then will linearly increase to 1 until iteration 2000
        
structured_prompting/fairseq-version/fairseq/fairseq/tasks/online_backtranslation.py