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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 putmask(self, mask, new, align=True, inplace=False, axis=0, transpose=False):
 """ putmask the data to the block; we must be a single block and not generate other blocks return the resulting block Parameters mask : the condition to respect new : a ndarray/object align : boolean, perform alignment on other/cond, default is True inplace : perform inplace modification, default is False Returns ------- a new block, the result of the putmask """

        inplace = validate_bool_kwarg(inplace, 'inplace')

        # use block's copy logic.
        # .values may be an Index which does shallow copy by default
        new_values = self.values if inplace else self.copy().values
        new_values, new = self._try_coerce_args(new_values, new)

        if isinstance(new, np.ndarray) and len(new) == len(mask):
            new = new[mask]

        mask = _safe_reshape(mask, new_values.shape)

        new_values[mask] = new
        new_values = self._try_coerce_result(new_values)
        return [self.make_block(values=new_values)]