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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def is_call(self, call):
 """Locate genotypes with a given call. Parameters call : array_like, int, shape (ploidy,) The genotype call to find. Returns ------- out : ndarray, bool, shape (n_variants, n_samples) Array where elements are True if the genotype is `call`. Examples -------- array([[False, False], [False, False], [ True, False]]) <GenotypeVector shape=(3, 2) dtype=int64> 0/0 0/1 0/2 array([False, False, True]) """


        # guard conditions
        if not len(call) == self.shape[-1]:
            raise ValueError('invalid call ploidy: %s', repr(call))

        if self.ndim == 2:
            call = np.asarray(call)[np.newaxis, :]
        else:
            call = np.asarray(call)[np.newaxis, np.newaxis, :]
        out = np.all(self.values == call, axis=-1)

        # handle mask
        if self.mask is not None:
            out &= ~self.mask

        return out