text: 
  from .load import load
  
  from pytplot import options
  
  def fields(trange=['2018-11-5', '2018-11-6'], 
          datatype='mag_rtn', 
          level='l2',
          suffix='',  
          get_support_data=False, 
          varformat=None,
          varnames=[],
          downloadonly=False,
          notplot=False,
          no_update=False,
          time_clip=False):
      """
      This function loads Parker Solar Probe FIELDS data
      
      Parameters
      ----------
          trange : list of str
              time range of interest [starttime, endtime] with the format 
              'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day 
              ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss']
  
          datatype: str
              Data type; Valid options:
  
          suffix: str
              The tplot variable names will be given this suffix.  By default, 
              no suffix is added.
  
          get_support_data: bool
              Data with an attribute "VAR_TYPE" with a value of "support_data"
              will be loaded into tplot.  By default, only loads in data with a 
              "VAR_TYPE" attribute of "data".
  
          varformat: str
              The file variable formats to load into tplot.  Wildcard character
              "*" is accepted.  By default, all variables are loaded in.
  
          varnames: list of str
              List of variable names to load (if not specified,
              all data variables are loaded)
  
          downloadonly: bool
              Set this flag to download the CDF files, but not load them into 
              tplot variables
  
          notplot: bool
              Return the data in hash tables instead of creating tplot variables
  
          no_update: bool
              If set, only load data from your local cache
  
          time_clip: bool
              Time clip the variables to exactly the range specified in the trange keyword
  
      Returns
      ----------
          List of tplot variables created.
  
      """
  
      # SCaM data is Level 3
      if datatype == 'merged_scam_wf':
          level = 'l3'
  
      spec_types = None
      if datatype == 'dfb_dc_spec' or datatype == 'dfb_ac_spec' or datatype == 'dfb_dc_xspec' or datatype == 'dfb_ac_xspec':
          if level == 'l1':
              spec_types = ['1', '2', '3', '4']
          else:
              if datatype == 'dfb_dc_spec' or datatype == 'dfb_ac_spec':
                  spec_types = ['dV12hg','dV34hg','dV12lg','dV34lg',
                      'SCMulfhg','SCMvlfhg','SCMwlfhg',
                      'SCMulflg','SCMvlflg','SCMwlflg',
                      'SCMdlfhg','SCMelfhg','SCMflfhg',
                      'SCMdlflg','SCMelflg','SCMflflg',
                      'SCMmf', 'V5hg']
              else:
                  spec_types = ['SCMdlfhg_SCMelfhg','SCMdlfhg_SCMflfhg','SCMelfhg_SCMflfhg',
                      'SCMulfhg_SCMvlfhg','SCMulfhg_SCMwlfhg','SCMvlfhg_SCMwlfhg',
                      'dV12hg_dV34hg']
  
      loaded_vars = load(instrument='fields', trange=trange, datatype=datatype, spec_types=spec_types, level=level, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update)
      
      if loaded_vars is None or notplot or downloadonly:
          return loaded_vars
  
      if 'psp_fld_l2_mag_RTN'+suffix in loaded_vars:
          options('psp_fld_l2_mag_RTN'+suffix, 'legend_names', ['Br (RTN)', 'Bt (RTN)', 'Bn (RTN)'])
  
      return loaded_vars
  
  def spc(trange=['2018-11-5', '2018-11-6'], 
          datatype='l3i', 
          level='l3',
          suffix='',  
          get_support_data=False, 
          varformat=None,
          varnames=[],
          downloadonly=False,
          notplot=False,
          no_update=False,
          time_clip=False):
      """
      This function loads Parker Solar Probe Solar Probe Cup data
      
      Parameters
      ----------
          trange : list of str
              time range of interest [starttime, endtime] with the format 
              'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day 
              ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss']
  
          datatype: str
              Data type; Valid options:
  
          suffix: str
              The tplot variable names will be given this suffix.  By default, 
              no suffix is added.
  
          get_support_data: bool
              Data with an attribute "VAR_TYPE" with a value of "support_data"
              will be loaded into tplot.  By default, only loads in data with a 
              "VAR_TYPE" attribute of "data".
  
          varformat: str
              The file variable formats to load into tplot.  Wildcard character
              "*" is accepted.  By default, all variables are loaded in.
  
          varnames: list of str
              List of variable names to load (if not specified,
              all data variables are loaded)
  
          downloadonly: bool
              Set this flag to download the CDF files, but not load them into 
              tplot variables
  
          notplot: bool
              Return the data in hash tables instead of creating tplot variables
  
          no_update: bool
              If set, only load data from your local cache
  
          time_clip: bool
              Time clip the variables to exactly the range specified in the trange keyword
  
      Returns
      ----------
          List of tplot variables created.
  
      """
      return load(instrument='spc', trange=trange, datatype=datatype, level=level, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update)
  
  def spe(trange=['2018-11-5', '2018-11-6'], 
          datatype='spa_sf1_32e', 
          level='l2',
          suffix='',  
          get_support_data=False, 
          varformat=None,
          varnames=[],
          downloadonly=False,
          notplot=False,
          no_update=False,
          time_clip=False):
      """
      This function loads Parker Solar Probe SWEAP/SPAN-e data
      
      Parameters
      ----------
          trange : list of str
              time range of interest [starttime, endtime] with the format 
              'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day 
              ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss']
  
          datatype: str
              Data type; Valid options:
  
          suffix: str
              The tplot variable names will be given this suffix.  By default, 
              no suffix is added.
  
          get_support_data: bool
              Data with an attribute "VAR_TYPE" with a value of "support_data"
              will be loaded into tplot.  By default, only loads in data with a 
              "VAR_TYPE" attribute of "data".
  
          varformat: str
              The file variable formats to load into tplot.  Wildcard character
              "*" is accepted.  By default, all variables are loaded in.
  
          varnames: list of str
              List of variable names to load (if not specified,
              all data variables are loaded)
  
          downloadonly: bool
              Set this flag to download the CDF files, but not load them into 
              tplot variables
  
          notplot: bool
              Return the data in hash tables instead of creating tplot variables
  
          no_update: bool
              If set, only load data from your local cache
  
          time_clip: bool
              Time clip the variables to exactly the range specified in the trange keyword
  
      Returns
      ----------
          List of tplot variables created.
  
      """
      return load(instrument='spe', trange=trange, datatype=datatype, level=level, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update)
  
  def spi(trange=['2018-11-5', '2018-11-6'], 
          datatype='spi_sf0a_mom_inst', 
          level='l3',
          suffix='',  
          get_support_data=False, 
          varformat=None,
          varnames=[],
          downloadonly=False,
          notplot=False,
          no_update=False,
          time_clip=False):
      """
      This function loads Parker Solar Probe SWEAP/SPAN-i data
      
      Parameters
      ----------
          trange : list of str
              time range of interest [starttime, endtime] with the format 
              'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day 
              ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss']
  
          datatype: str
              Data type; Valid options:
  
          suffix: str
              The tplot variable names will be given this suffix.  By default, 
              no suffix is added.
  
          get_support_data: bool
              Data with an attribute "VAR_TYPE" with a value of "support_data"
              will be loaded into tplot.  By default, only loads in data with a 
              "VAR_TYPE" attribute of "data".
  
          varformat: str
              The file variable formats to load into tplot.  Wildcard character
              "*" is accepted.  By default, all variables are loaded in.
  
          varnames: list of str
              List of variable names to load (if not specified,
              all data variables are loaded)
  
          downloadonly: bool
              Set this flag to download the CDF files, but not load them into 
              tplot variables
  
          notplot: bool
              Return the data in hash tables instead of creating tplot variables
  
          no_update: bool
              If set, only load data from your local cache
  
          time_clip: bool
              Time clip the variables to exactly the range specified in the trange keyword
  
      Returns
      ----------
          List of tplot variables created.
  
      """
      return load(instrument='spi', trange=trange, datatype=datatype, level=level, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update)
  
  def epihi(trange=['2018-11-5', '2018-11-6'], 
          datatype='let1_rates1h', 
          level='l2',
          suffix='',  
          get_support_data=False, 
          varformat=None,
          varnames=[],
          downloadonly=False,
          notplot=False,
          no_update=False,
          time_clip=False):
      """
      This function loads Parker Solar Probe ISoIS/EPI-Hi data
      
      Parameters
      ----------
          trange : list of str
              time range of interest [starttime, endtime] with the format 
              'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day 
              ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss']
  
          datatype: str
              Data type; Valid options:
  
          suffix: str
              The tplot variable names will be given this suffix.  By default, 
              no suffix is added.
  
          get_support_data: bool
              Data with an attribute "VAR_TYPE" with a value of "support_data"
              will be loaded into tplot.  By default, only loads in data with a 
              "VAR_TYPE" attribute of "data".
  
          varformat: str
              The file variable formats to load into tplot.  Wildcard character
              "*" is accepted.  By default, all variables are loaded in.
  
          varnames: list of str
              List of variable names to load (if not specified,
              all data variables are loaded)
  
          downloadonly: bool
              Set this flag to download the CDF files, but not load them into 
              tplot variables
  
          notplot: bool
              Return the data in hash tables instead of creating tplot variables
  
          no_update: bool
              If set, only load data from your local cache
  
          time_clip: bool
              Time clip the variables to exactly the range specified in the trange keyword
  
      Returns
      ----------
          List of tplot variables created.
  
      """
      return load(instrument='epihi', trange=trange, datatype=datatype, level=level, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update)
  
  def epilo(trange=['2018-11-5', '2018-11-6'], 
          datatype='pe', 
          level='l2',
          suffix='',  
          get_support_data=False, 
          varformat=None,
          varnames=[],
          downloadonly=False,
          notplot=False,
          no_update=False,
          time_clip=False):
      """
      This function loads Parker Solar Probe ISoIS/EPI-Lo data
      
      Parameters
      ----------
          trange : list of str
              time range of interest [starttime, endtime] with the format 
              'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day 
              ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss']
  
          datatype: str
              Data type; Valid options:
  
          suffix: str
              The tplot variable names will be given this suffix.  By default, 
              no suffix is added.
  
          get_support_data: bool
              Data with an attribute "VAR_TYPE" with a value of "support_data"
              will be loaded into tplot.  By default, only loads in data with a 
              "VAR_TYPE" attribute of "data".
  
          varformat: str
              The file variable formats to load into tplot.  Wildcard character
              "*" is accepted.  By default, all variables are loaded in.
  
          varnames: list of str
              List of variable names to load (if not specified,
              all data variables are loaded)
  
          downloadonly: bool
              Set this flag to download the CDF files, but not load them into 
              tplot variables
  
          notplot: bool
              Return the data in hash tables instead of creating tplot variables
  
          no_update: bool
              If set, only load data from your local cache
  
          time_clip: bool
              Time clip the variables to exactly the range specified in the trange keyword
  
      Returns
      ----------
          List of tplot variables created.
  
      """
      return load(instrument='epilo', trange=trange, datatype=datatype, level=level, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update)
  
  def epi(trange=['2018-11-5', '2018-11-6'], 
          datatype='summary', 
          level='l2',
          suffix='',  
          get_support_data=False, 
          varformat=None,
          varnames=[],
          downloadonly=False,
          notplot=False,
          no_update=False,
          time_clip=False):
      """
      This function loads Parker Solar Probe ISoIS/EPI (merged summary) data
      
      Parameters
      ----------
          trange : list of str
              time range of interest [starttime, endtime] with the format 
              'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day 
              ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss']
  
          datatype: str
              Data type; Valid options:
  
          suffix: str
              The tplot variable names will be given this suffix.  By default, 
              no suffix is added.
  
          get_support_data: bool
              Data with an attribute "VAR_TYPE" with a value of "support_data"
              will be loaded into tplot.  By default, only loads in data with a 
              "VAR_TYPE" attribute of "data".
  
          varformat: str
              The file variable formats to load into tplot.  Wildcard character
              "*" is accepted.  By default, all variables are loaded in.
  
          varnames: list of str
              List of variable names to load (if not specified,
              all data variables are loaded)
  
          downloadonly: bool
              Set this flag to download the CDF files, but not load them into 
              tplot variables
  
          notplot: bool
              Return the data in hash tables instead of creating tplot variables
  
          no_update: bool
              If set, only load data from your local cache
  
          time_clip: bool
              Time clip the variables to exactly the range specified in the trange keyword
  
      Returns
      ----------
          List of tplot variables created.
  
      """
      return load(instrument='epi', trange=trange, datatype=datatype, level=level, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update)
  