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DOC: minor fixes to make doctests pass
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‎CHANGES.rst

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New Tools and Services
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----------------------
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ipac.irsa.most
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^^^^^^^^^^^^^^
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ipac.irsa
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^^^^^^^^^
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- New module to access the Moving Object Search Tool (MOST) added. [#2660]
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- New class to access the Moving Object Search Tool (MOST) added. [#2660]
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gaia
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^^^^

‎docs/index.rst

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@@ -255,7 +255,7 @@ The following modules have been completed using a common API:
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heasarc/heasarc.rst
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hips2fits/hips2fits.rst
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hitran/hitran.rst
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ipac/irsa/most/most.rst
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ipac/irsa/most.rst
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ipac/irsa/irsa_dust/irsa_dust.rst
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ipac/irsa/ibe/ibe.rst
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ipac/irsa/irsa.rst

‎docs/ipac/irsa/most/most.rst renamed to ‎docs/ipac/irsa/most.rst

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******************************
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IRSA Moving Object Search Tool
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******************************
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.. _astroquery.ipac.irsa.most:
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**********************************************************
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IRSA Moving Object Search Tool (astroquery.ipac.irsa.most)
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**********************************************************
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Moving Object Search Tool (MOST) can determine the orbit for a given solar system
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object then find images that covered the object's predicted positions in select
@@ -358,19 +360,19 @@ asteroid `Victoria <https://en.wikipedia.org/wiki/12_Victoria>`_ as:
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... obs_begin="2014-05-29",
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... obs_end="2014-05-30")
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<Table length=10>
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ra_obj dec_obj sun_dist geo_dist ... saa_sep qual_frame image_set
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float64 float64 float64 float64 ... float64 int64 int64
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---------- --------- -------- -------- ... ------- ---------- ---------
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333.539704 -0.779309 1.8179 1.4638 ... 15.039 10 6
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333.539704 -0.779309 1.8179 1.4638 ... 15.039 10 6
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333.589056 -0.747249 1.8179 1.4626 ... 46.517 10 6
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333.589056 -0.747249 1.8179 1.4626 ... 46.517 10 6
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333.638285 -0.71525 1.8179 1.4614 ... 89.053 10 6
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333.638285 -0.71525 1.8179 1.4614 ... 89.053 10 6
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333.687494 -0.683205 1.8178 1.4603 ... 115.076 10 6
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333.687494 -0.683205 1.8178 1.4603 ... 115.076 10 6
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333.73658 -0.651221 1.8178 1.4591 ... 73.321 10 6
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333.73658 -0.651221 1.8178 1.4591 ... 73.321 10 6
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ra_obj dec_obj sun_dist geo_dist ... moon_sep saa_sep qual_frame image_set
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float64 float64 float64 float64 ... float64 float64 int64 int64
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---------- --------- -------- -------- ... -------- ------- ---------- ---------
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333.539704 -0.779309 1.8179 1.4638 ... 102.339 15.039 10 6
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333.539704 -0.779309 1.8179 1.4638 ... 102.339 15.039 10 6
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333.589056 -0.747249 1.8179 1.4626 ... 103.825 46.517 10 6
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333.589056 -0.747249 1.8179 1.4626 ... 103.825 46.517 10 6
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333.638286 -0.71525 1.8179 1.4614 ... 105.327 89.053 10 6
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333.638286 -0.71525 1.8179 1.4614 ... 105.327 89.053 10 6
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333.687495 -0.683205 1.8178 1.4603 ... 106.803 115.076 10 6
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333.687495 -0.683205 1.8178 1.4603 ... 106.803 115.076 10 6
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333.736581 -0.651221 1.8178 1.4591 ... 108.294 73.321 10 6
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333.736581 -0.651221 1.8178 1.4591 ... 108.294 73.321 10 6
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To return more than just a table of image identifiers, use one of the more
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verbose output modes - ``Regular`` or ``Full``.
@@ -388,19 +390,19 @@ verbose output modes - ``Regular`` or ``Full``.
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dict_keys(['results', 'metadata', 'region', 'fits_tarball', 'region_tarball'])
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>>> matched["metadata"]
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<Table length=10>
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ra_obj dec_obj sun_dist geo_dist ... saa_sep qual_frame image_set
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float64 float64 float64 float64 ... float64 int64 int64
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---------- --------- -------- -------- ... ------- ---------- ---------
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333.539704 -0.779309 1.8179 1.4638 ... 15.039 10 6
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333.539704 -0.779309 1.8179 1.4638 ... 15.039 10 6
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333.589056 -0.747249 1.8179 1.4626 ... 46.517 10 6
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333.589056 -0.747249 1.8179 1.4626 ... 46.517 10 6
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333.638285 -0.71525 1.8179 1.4614 ... 89.053 10 6
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333.638285 -0.71525 1.8179 1.4614 ... 89.053 10 6
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333.687494 -0.683205 1.8178 1.4603 ... 115.076 10 6
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333.687494 -0.683205 1.8178 1.4603 ... 115.076 10 6
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333.73658 -0.651221 1.8178 1.4591 ... 73.321 10 6
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333.73658 -0.651221 1.8178 1.4591 ... 73.321 10 6
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ra_obj dec_obj sun_dist geo_dist ... moon_sep saa_sep qual_frame image_set
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float64 float64 float64 float64 ... float64 float64 int64 int64
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---------- --------- -------- -------- ... -------- ------- ---------- ---------
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333.539704 -0.779309 1.8179 1.4638 ... 102.339 15.039 10 6
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333.539704 -0.779309 1.8179 1.4638 ... 102.339 15.039 10 6
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333.589056 -0.747249 1.8179 1.4626 ... 103.825 46.517 10 6
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333.589056 -0.747249 1.8179 1.4626 ... 103.825 46.517 10 6
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333.638286 -0.71525 1.8179 1.4614 ... 105.327 89.053 10 6
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333.638286 -0.71525 1.8179 1.4614 ... 105.327 89.053 10 6
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333.687495 -0.683205 1.8178 1.4603 ... 106.803 115.076 10 6
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333.687495 -0.683205 1.8178 1.4603 ... 106.803 115.076 10 6
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333.736581 -0.651221 1.8178 1.4591 ... 108.294 73.321 10 6
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333.736581 -0.651221 1.8178 1.4591 ... 108.294 73.321 10 6
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As demonstrated, the returned values are stored in a dictionary and which
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``metadata`` key table matches the ``Brief`` output mode table.
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.. doctest-remote-data::
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>>> matched["fits_tarball"]
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>>> matched["fits_tarball"] # doctest: +IGNORE_OUTPUT
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'https://irsa.ipac.caltech.edu/workspace/TMP_X69utS_13312/Most/pid15792/fitsimage_A850RA.tar.gz'
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>>> matched["region_tarball"]
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>>> matched["region_tarball"] # doctest: +IGNORE_OUTPUT
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'https://irsa.ipac.caltech.edu/workspace/TMP_X69utS_13312/Most/pid15792/ds9region_A850RA.tar'
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>>> matched["results"].columns
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<TableColumns names=('Image_ID','date_obs','time_obs','mjd_obs','ra_obj','dec_obj','sun_dist','geo_dist','dist_ctr','phase','vmag','image_url','postcard_url','region_file')> # noqa: E501
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>>> matched["results"]["time_obs", "image_url"]
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<TableColumns names=('Image_ID','date_obs','time_obs','mjd_obs','ra_obj','dec_obj','sun_dist','geo_dist','dist_ctr','phase','vmag','image_url','postcard_url','region_file')>
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>>> matched["results"]["time_obs", "image_url"] # doctest: +IGNORE_OUTPUT
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<Table length=10>
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time_obs image_url
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str12 str103

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