# Buggy code
def backprojection(
    calibrated_event_list, pixel_size=(1.0, 1.0) * u.arcsec, image_dim=(64, 64) * u.pix
):
    """
    Given a stacked calibrated event list fits file create a back
    projection image.

    .. warning:: The image is not in the right orientation!

    Parameters
    ----------
    calibrated_event_list : string
        filename of a RHESSI calibrated event list
    pixel_size : `~astropy.units.Quantity` instance
        the size of the pixels in arcseconds. Default is (1,1).
    image_dim : `~astropy.units.Quantity` instance
        the size of the output image in number of pixels

    Returns
    -------
    out : RHESSImap
        Return a backprojection map.

    Examples
    --------
    >>> import sunpy.data
    >>> import sunpy.data.sample
    >>> import sunpy.instr.rhessi as rhessi
    >>> sunpy.data.download_sample_data(overwrite=False)   # doctest: +SKIP
    >>> map = rhessi.backprojection(sunpy.data.sample.RHESSI_EVENT_LIST)   # doctest: +SKIP
    >>> map.peek()   # doctest: +SKIP

    """
    if not isinstance(pixel_size, u.Quantity):
        raise ValueError("Must be astropy Quantity in arcseconds")
    try:
        pixel_size = pixel_size.to(u.arcsec)
    except:
        raise ValueError("'{0}' is not a valid pixel_size unit".format(pixel_size.unit))
    if not (isinstance(image_dim, u.Quantity) and image_dim.unit == "pix"):
        raise ValueError("Must be astropy Quantity in pixels")

    afits = fits.open(calibrated_event_list)
    info_parameters = afits[2]
    xyoffset = info_parameters.data.field("USED_XYOFFSET")[0]
    time_range = TimeRange(info_parameters.data.field("ABSOLUTE_TIME_RANGE")[0])

    image = np.zeros(image_dim.value)

    # find out what detectors were used
    det_index_mask = afits[1].data.field("det_index_mask")[0]
    detector_list = (np.arange(9) + 1) * np.array(det_index_mask)
    for detector in detector_list:
        if detector > 0:
            image = image + _backproject(
                calibrated_event_list,
                detector=detector,
                pixel_size=pixel_size.value,
                image_dim=image_dim.value,
            )

    dict_header = {
        "DATE-OBS": time_range.center().strftime("%Y-%m-%d %H:%M:%S"),
        "CDELT1": pixel_size[0],
        "NAXIS1": image_dim[0],
        "CRVAL1": xyoffset[0],
        "CRPIX1": image_dim[0].value / 2 + 0.5,
        "CUNIT1": "arcsec",
        "CTYPE1": "HPLN-TAN",
        "CDELT2": pixel_size[1],
        "NAXIS2": image_dim[1],
        "CRVAL2": xyoffset[1],
        "CRPIX2": image_dim[0].value / 2 + 0.5,
        "CUNIT2": "arcsec",
        "CTYPE2": "HPLT-TAN",
        "HGLT_OBS": 0,
        "HGLN_OBS": 0,
        "RSUN_OBS": solar_semidiameter_angular_size(time_range.center()).value,
        "RSUN_REF": sunpy.sun.constants.radius.value,
        "DSUN_OBS": sunearth_distance(time_range.center())
        * sunpy.sun.constants.au.value,
    }

    header = sunpy.map.MetaDict(dict_header)
    result_map = sunpy.map.Map(image, header)

    return result_map


# Traceback (TypeError)
import sunpy.data
>>> import sunpy.data.sample
>>> import sunpy.instr.rhessi as rhessi
>>> sunpy.data.download_sample_data(overwrite=False)
>>> map = rhessi.backprojection(sunpy.data.sample.RHESSI_EVENT_LIST)

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-35-2587d1ec7c8a> in <module>()
----> 1 map = rhessi.backprojection(sunpy.data.sample.RHESSI_EVENT_LIST)

/Users/bsipocz/munka/devel/sunpy/sunpy/instr/rhessi.py in backprojection(calibrated_event_list, pixel_size, image_dim)
405         "CDELT1": pixel_size[0],
406         "NAXIS1": image_dim[0],
--> 407         "CRVAL1": xyoffset[0],
408         "CRPIX1": image_dim[0].value/2 + 0.5,
409         "CUNIT1": "arcsec",

/Users/bsipocz/munka/devel/sunpy/sunpy/time/timerange.py in center(self)
128         value : `datetime.datetime`
129         """
--> 130         return self.start + self.dt / 2
131
132     @property

/Users/bsipocz/munka/devel/sunpy/sunpy/time/timerange.py in dt(self)
117         dt : `datetime.timedelta`
118         """
--> 119         return self._t2 - self._t1
120
121     @property

TypeError: unsupported operand type(s) for -: 'NoneType' and 'NoneType'

# Fixed code
def backprojection(
    calibrated_event_list, pixel_size=(1.0, 1.0) * u.arcsec, image_dim=(64, 64) * u.pix
):
    """
    Given a stacked calibrated event list fits file create a back
    projection image.

    .. warning:: The image is not in the right orientation!

    Parameters
    ----------
    calibrated_event_list : string
        filename of a RHESSI calibrated event list
    pixel_size : `~astropy.units.Quantity` instance
        the size of the pixels in arcseconds. Default is (1,1).
    image_dim : `~astropy.units.Quantity` instance
        the size of the output image in number of pixels

    Returns
    -------
    out : RHESSImap
        Return a backprojection map.

    Examples
    --------
    >>> import sunpy.data
    >>> import sunpy.data.sample
    >>> import sunpy.instr.rhessi as rhessi
    >>> sunpy.data.download_sample_data(overwrite=False)   # doctest: +SKIP
    >>> map = rhessi.backprojection(sunpy.data.sample.RHESSI_EVENT_LIST)   # doctest: +SKIP
    >>> map.peek()   # doctest: +SKIP

    """
    pixel_size = pixel_size.to(u.arcsec)
    image_dim = np.array(image_dim.to(u.pix).value, dtype=int)

    afits = fits.open(calibrated_event_list)
    info_parameters = afits[2]
    xyoffset = info_parameters.data.field("USED_XYOFFSET")[0]
    time_range = TimeRange(info_parameters.data.field("ABSOLUTE_TIME_RANGE")[0])

    image = np.zeros(image_dim)

    # find out what detectors were used
    det_index_mask = afits[1].data.field("det_index_mask")[0]
    detector_list = (np.arange(9) + 1) * np.array(det_index_mask)
    for detector in detector_list:
        if detector > 0:
            image = image + _backproject(
                calibrated_event_list,
                detector=detector,
                pixel_size=pixel_size.value,
                image_dim=image_dim,
            )

    dict_header = {
        "DATE-OBS": time_range.center.strftime("%Y-%m-%d %H:%M:%S"),
        "CDELT1": pixel_size[0],
        "NAXIS1": image_dim[0],
        "CRVAL1": xyoffset[0],
        "CRPIX1": image_dim[0] / 2 + 0.5,
        "CUNIT1": "arcsec",
        "CTYPE1": "HPLN-TAN",
        "CDELT2": pixel_size[1],
        "NAXIS2": image_dim[1],
        "CRVAL2": xyoffset[1],
        "CRPIX2": image_dim[0] / 2 + 0.5,
        "CUNIT2": "arcsec",
        "CTYPE2": "HPLT-TAN",
        "HGLT_OBS": 0,
        "HGLN_OBS": 0,
        "RSUN_OBS": solar_semidiameter_angular_size(time_range.center).value,
        "RSUN_REF": sunpy.sun.constants.radius.value,
        "DSUN_OBS": sunearth_distance(time_range.center) * sunpy.sun.constants.au.value,
    }

    result_map = sunpy.map.Map(image, dict_header)

    return result_map