d1a2563cbf10c1470835b04bbc6e7d627d71019a,nilearn/input_data/nifti_labels_masker.py,NiftiLabelsMasker,__init__,#NiftiLabelsMasker#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,125

Before Change

                                          "minimum", "maximum",
                                          "standard_deviation", "variance"}

        if strategy not in available_reduction_strategies:
            raise ValueError(str.format(
                "Invalid strategy "{}". Valid strategies are {}.",
                strategy,
                available_reduction_strategies
            ))

        self.strategy = strategy

        if resampling_target not in ("labels", "data", None):
            raise ValueError("invalid value for "resampling_target" "

After Change

        if strategy not in available_reduction_strategies:
            raise ValueError(str.format(
                "Invalid strategy "{}". Valid strategies are {}.",
                strategy,
                available_reduction_strategies
            ))

        self.strategy = strategy

        if resampling_target not in ("labels", "data", None):
            raise ValueError("invalid value for "resampling_target" "
                             "parameter: " + str(resampling_target))

    def fit(self, X=None, y=None):

Instances