"""A module defining types for describing instrument scans and windows,
as well as a :class:`~.Term` subclass for the `scan attribute` family.
"""

from collections import namedtuple
from collections.abc import MutableSequence
from typing import Optional

from ms_deisotope.utils import _MappingOverAttributeProxy
from .cv import Term, TermSet


def _isclose(x, y, atol=1e-3):
    return abs(x - y) < atol


_IsolationWindowBase = namedtuple(
    "IsolationWindow", ['lower', 'target', 'upper'])


[docs]class IsolationWindow(_IsolationWindowBase):
    r"""Describes the m/z interval a precursor ion was isolated from in the precursor scan

    An :class:`IsolationWindow` instance is comparable, hashable, and orderable. It is based
    on a :class:`namedtuple`, and supports the same interface and methods as a :class:`tuple`.

    Attributes
    ----------
    lower: float
        The distance from the center of the isolation window towards 0
    target: float
        The center of the isolation window in m/z
    upper: float
        The distance from the center of the isolation window towards :math:`\infty`
    lower_bound: float
        The m/z coordinate of the lower bound :attr:`target` - :attr:`lower`
    upper_bound: float
        The m/z coordinate of the upper bound :attr:`target` + :attr:`upper`
    width: float
        The sum of :attr:`lower` and :attr:`upper`, the total m/z space spanned by
        the window
    """

    __slots__ = ()
    __hash__ = _IsolationWindowBase.__hash__

[docs]    @classmethod
    def make_empty(cls, point):
        """A helper method for instantiating an empty isolation window centered at
        `point`

        Parameters
        ----------
        point : float
            The point to center the new empty window at.

        Returns
        -------
        :class:`IsolationWindow`
        """
        return cls(0, point, 0)

    @property
    def lower_bound(self):
        """The m/z coordinate of the lower bound :attr:`target` - :attr:`lower`
        """
        return self.target - self.lower

    @property
    def upper_bound(self):
        """The m/z coordinate of the upper bound :attr:`target` + :attr:`upper`
        """
        return self.target + self.upper

    @property
    def width(self):
        """The sum of :attr:`lower` and :attr:`upper`, the total m/z space spanned by
        the window"""
        return self.lower + self.upper

    def __contains__(self, x):
        return self.spans(x, 0.1)

[docs]    def spans(self, x, tolerance=0.1):
        """Test whether `x` is within the interval defined by this window's bounds.

        This method permits a small amount of error (controlled by `tolerance`) when
        computing the bounds.

        Equivalent to: :code:`(self.lower_bound - tolerance) <= x <= (self.upper_bound + tolerance)`

        Parameters
        ----------
        x : float
            The number to query
        tolerance : float, optional
            The amount of error to accept when computing the bounds (the default is 0.1)

        Returns
        -------
        :class:`bool`
        """
        return (self.lower_bound - tolerance) <= x <= (self.upper_bound + tolerance)

[docs]    def is_empty(self):
        """Tests if the window is empty (e.g. its upper bound is equal to its lower bound)

        Returns
        -------
        :class:`bool`
        """
        if self.lower is None:
            return self.upper is None
        return self.lower == self.upper == 0.0

    def __nonzero__(self):
        return not self.is_empty()

    def __bool__(self):
        return self.__nonzero__()

    def __eq__(self, other):
        return _isclose(self.lower, other.lower) and _isclose(
            self.upper, other.upper) and _isclose(
                self.target, other.target)

    def __ne__(self, other):
        return not (self == other)

    @property
    def __dict__(self):
        return _MappingOverAttributeProxy(self)

    def __reduce__(self):
        return self.__class__, (self.lower, self.target, self.upper)


[docs]class ScanAcquisitionInformation(MutableSequence):
    """Describes the set distinct scans along the measurable range by
    the instrument that were performed to produce the acquired data

    :class:`ScanAcquisitionInformation` objects implement the :class:`MutableSequence`
    interface, acting as a sequence of :class:`ScanEventInformation` objects.

    Attributes
    ----------
    combination : :class:`str`
        A controlled vocabulary string describing the way in which scans were combined
    scan_list : :class:`list` of :class:`ScanEventInformation`
        The list of scan events performed
    """

    __slots__ = ("combination", "scan_list")

    @property
    def __dict__(self):
        return _MappingOverAttributeProxy(self)

    def __init__(self, combination, scan_list):  # pylint: disable=super-init-not-called
        self.combination = combination
        self.scan_list = scan_list

    def __getitem__(self, i):
        return self.scan_list[i]

    def __setitem__(self, i, value):
        self.scan_list[i] = value

    def __delitem__(self, i):
        del self.scan_list[i]

[docs]    def insert(self, index, value):
        """Insert an event at a given position

        Parameters
        ----------
        index : int
            The position to add the new event
        value : :class:`ScanEventInformation`
            The event to insert
        """
        if not isinstance(value, ScanEventInformation):
            raise TypeError(
                f"Expected ScanEventInformation but got {type(value)}"
            )
        self.scan_list.insert(index, value)

    def __len__(self):
        return len(self.scan_list)

    def __repr__(self):
        return f"ScanAcquisitionInformation(combination={self.combination}, scan_list={self.scan_list})"

    def __eq__(self, other):
        return self.combination == other.combination and self.scan_list == other.scan_list

    def __ne__(self, other):
        return not (self == other)

    def __reduce__(self):
        return self.__class__, (self.combination, self.scan_list)

[docs]    def copy(self) -> 'ScanAcquisitionInformation':
        """Make a shallow copy of this object"""
        return self.__class__(
            self.combination, [se.copy() for se in self.scan_list])


class _IonMobilityMixin(object):
    __slots__ = ()

    @property
    def _ion_mobility(self):
        return IonMobilityMethods(self)

    def has_ion_mobility(self):
        """Check whether the scan has ion mobility measure.

        Returns
        -------
        bool
        """
        return self._ion_mobility.has_ion_mobility()

    @property
    def drift_time(self):
        """Fetch the drift time quantity of the scan

        Returns
        -------
        value: float or :const:`None`
            The measured drift time, or :const:`None`
        """
        return self._ion_mobility.drift_time()

    @drift_time.setter
    def drift_time(self, value):
        if value is None or value == 0:
            return
        else:
            raise ValueError("Cannot set drift time directly yet.")

    @property
    def ion_mobility_type(self):
        """Fetch the ion mobility type of the scan.

        Returns
        -------
        ims_type: :class:`ScanAttribute` or :const:`None`
            The ion mobility type, or :const:`None`
        """
        return self._ion_mobility.ion_mobility_type()


class ScanEventInformation(_IonMobilityMixin):
    """Describe a single instrument scan, one or more of which compose
    an actual :class:`Scan` object which describes a spectrum.

    Attributes
    ----------
    start_time: :class:`unitfloat`
        The time since the experiment began when the scan started being acquired.
    window_list: :class:`list` of :class:`ScanWindow`
        The intervals over the m/z axis that were sampled from during this scan.
    injection_time: :class:`unitfloat`
        The time spent injecting ions into the analyzer.
    traits: :class:`dict`
        A mapping from :class:`ScanAttribute` to optional values describing this scan event.
    drift_time: :class:`unitfloat`
        The IMS drift time, if present, :const:`None` otherwise. Determined from :attr:`traits`.
    ion_mobility_type: :class:`ScanAttribute`
        The IMS mechanism type, if present, :const:`None` otherwise. Determined from :attr:`traits`.
    """

    __slots__ = ("start_time", "window_list", "injection_time", "traits")

    @property
    def __dict__(self):
        return _MappingOverAttributeProxy(self)

    def __init__(self, start_time, window_list, drift_time=None,
                 injection_time=None, traits=None, **options):
        self.traits = traits or {}
        self.traits.update(options)
        self.start_time = start_time
        self.window_list = window_list or []
        self.drift_time = drift_time
        self.injection_time = injection_time

    @property
    def scan_configuration(self) -> Optional[str]:
        """Retrieve the scan configuration ID

        Returns
        -------
        str, optional
        """
        return self.traits.get('preset scan configuration')

    def copy(self) -> 'ScanEventInformation':
        """Return a shallow copy of this object"""
        return self.__class__(
            self.start_time, self.window_list[:],
            None, self.injection_time, self.traits.copy())

    def __getitem__(self, i):
        return self.window_list[i]

    def __iter__(self):
        return iter(self.window_list)

    def __len__(self):
        return len(self.window_list)

    def __repr__(self):
        if self.has_ion_mobility():
            tail = f", drift_time={self.drift_time}"
        else:
            tail = ''
        if self.injection_time is not None:
            tail += f', injection_time={self.injection_time}'
        if self.traits:
            tail += f", traits={self.traits}"
        form = f"ScanEventInformation(start_time={self.start_time}, window_list={self.window_list}{tail})"
        return form

    def __eq__(self, other):
        eq = _isclose(self.start_time, other.start_time) and (
            self.window_list == other.window_list)
        if not eq:
            return False
        if self.has_ion_mobility() != other.has_ion_mobility():
            return False
        if self.has_ion_mobility() and not _isclose(self.drift_time, other.drift_time):
            return False
        return True

    def __ne__(self, other):
        return not (self == other)

    def total_scan_window(self):
        """Create a :class:`ScanWindow` spanning from the lowest m/z of the lowest window
        to the highest m/z of the highest window.

        Returns
        -------
        :class:`ScanWindow`
        """
        low = float('inf')
        high = 0
        for window in self:
            low = min(low, window.lower)
            high = max(high, window.upper)
        return ScanWindow(low, high)

    def __reduce__(self):
        return self.__class__, (self.start_time, self.window_list, None, self.injection_time, self.traits)


class ScanWindow(namedtuple("ScanWindow", ['lower', 'upper'])):
    """Represent a single contiguous m/z interval that was sampled from during a scan.

    This type supports spanning testing using the :meth:`__contains__` method, and is
    equality comparable and hashable.

    Attributes
    ----------
    lower: float
        The lower bound of the window
    upper: float
        The upper bound of the window
    """
    __slots__ = ()

    @property
    def __dict__(self):
        return _MappingOverAttributeProxy(self)

    def __reduce__(self):
        return self.__class__, (self.lower, self.upper)

    def __contains__(self, i):
        return self.lower <= i <= self.upper

    def is_empty(self):
        """Test whether the window's bounds are both equal to :const:`None`
        or `0`.

        Returns
        -------
        bool
        """
        if self.lower is None:
            return self.upper is None
        return self.lower == self.upper == 0.0

    def __nonzero__(self):
        return not self.is_empty()

    def __bool__(self):
        return self.__nonzero__()

    def __eq__(self, other):
        return _isclose(self.lower, other.lower) and _isclose(
            self.upper, other.upper)

    def __hash__(self):
        return super(ScanWindow, self).__hash__()

    def __ne__(self, other):
        return not (self == other)


class ScanAttribute(Term):
    """Describes a single trait or attribute belonging to a scan,
    such as injection time, filter string, or instrument configuration.
    """
    __slots__ = ()


scan_attributes = []

# [[[cog
# import cog
# from ms_deisotope.data_source.metadata.cv import render_list
# render_list('scan attribute', term_cls_name="ScanAttribute", writer=cog.out)
# ]]]
# CV Version: 4.1.95
scan_attributes = TermSet([
    ScanAttribute('mass resolution', 'MS:1000011',
                  ('Smallest mass difference between two equal magnitude peaks '
                   'so that the valley between them is a specified fraction of '
                   'the peak height.'),
                  'scan attribute',
                  ['scan attribute', 'object attribute']),
    ScanAttribute('scan rate', 'MS:1000015',
                  ('Rate in Th/sec for scanning analyzers.'),
                  'scan attribute',
                  ['scan attribute', 'object attribute']),
    ScanAttribute('scan start time', 'MS:1000016',
                  ('The time that an analyzer started a scan, relative to the '
                   'start of the MS run.'),
                  'scan attribute',
                  ['scan attribute', 'PSM-level attribute', 'object attribute', 'single identification result attribute', 'identification attribute', 'analysis attribute', 'spectrum identification result details']),
    ScanAttribute('zoom scan', 'MS:1000497',
                  ('Special scan mode where data with improved resolution is '
                   'acquired. This is typically achieved by scanning a more '
                   'narrow m/z window or scanning with a lower scan rate.'),
                  'scan attribute',
                  ['scan attribute', 'object attribute']),
    ScanAttribute('dwell time', 'MS:1000502',
                  ('The time spent gathering data across a peak.'),
                  'scan attribute',
                  ['scan attribute', 'object attribute']),
    ScanAttribute('filter string', 'MS:1000512',
                  ('A string unique to Thermo instrument describing instrument '
                   'settings for the scan.'),
                  'scan attribute',
                  ['scan attribute', 'object attribute']),
    ScanAttribute('preset scan configuration', 'MS:1000616',
                  ('A user-defined scan configuration that specifies the '
                   'instrumental settings in which a spectrum is acquired. An '
                   'instrument may cycle through a list of preset scan '
                   'configurations to acquire data. This is a more generic term '
                   'for the Thermo \\"scan event\\", which is defined in the '
                   'Thermo Xcalibur glossary as: a mass spectrometer scan that '
                   'is defined by choosing the necessary scan parameter '
                   'settings. Multiple scan events can be defined for each '
                   'segment of time.'),
                  'scan attribute',
                  ['scan attribute', 'object attribute']),
    ScanAttribute('mass resolving power', 'MS:1000800',
                  ('The observed mass divided by the difference between two '
                   'masses that can be separated: m/dm. The procedure by which '
                   'dm was obtained and the mass at which the measurement was '
                   'made should be reported.'),
                  'scan attribute',
                  ['scan attribute', 'object attribute']),
    ScanAttribute('analyzer scan offset', 'MS:1000803',
                  ('Offset between two analyzers in a constant neutral loss or '
                   'neutral gain scan. The value corresponds to the neutral loss '
                   'or neutral gain value.'),
                  'scan attribute',
                  ['scan attribute', 'object attribute']),
    ScanAttribute('elution time', 'MS:1000826',
                  ('The time of elution from all used chromatographic columns '
                   '(one or more) in the chromatographic separation step, '
                   'relative to the start of the chromatography.'),
                  'scan attribute',
                  ['scan attribute', 'object attribute']),
    ScanAttribute('interchannel delay', 'MS:1000880',
                  ('The duration of intervals between scanning, during which the '
                   'instrument configuration is switched.'),
                  'scan attribute',
                  ['scan attribute', 'object attribute']),
    ScanAttribute('ion injection time', 'MS:1000927',
                  ('The length of time spent filling an ion trapping device.'),
                  'scan attribute',
                  ['scan attribute', 'object attribute']),
    ScanAttribute('first column elution time', 'MS:1002082',
                  ('The time of elution from the first chromatographic column in '
                   'the chromatographic separation step, relative to the start '
                   'of chromatography on the first column.'),
                  'scan attribute',
                  ['scan attribute', 'object attribute']),
    ScanAttribute('second column elution time', 'MS:1002083',
                  ('The time of elution from the second chromatographic column '
                   'in the chromatographic separation step, relative to the '
                   'start of the chromatography on the second column.'),
                  'scan attribute',
                  ['scan attribute', 'object attribute']),
    ScanAttribute('instrument specific scan attribute', 'MS:1002527',
                  ('Instrument specific scan properties that are associated with '
                   'a value.'),
                  'scan attribute',
                  ['scan attribute', 'object attribute']),
    ScanAttribute('ion mobility attribute', 'MS:1002892',
                  ('An attribute describing ion mobility searches.'),
                  'scan attribute',
                  ['scan attribute', 'PSM-level attribute', 'object attribute', 'single identification result attribute', 'identification attribute', 'analysis attribute', 'spectrum identification result details']),
    ScanAttribute('scan number', 'MS:1003057',
                  ('Ordinal number of the scan indicating its order of '
                   'acquisition within a mass spectrometry acquisition run.'),
                  'scan attribute',
                  ['scan attribute', 'object attribute']),
    ScanAttribute('synchronous prefilter selection', 'MS:1002528',
                  ('Synchronous prefilter selection.'),
                  'scan attribute',
                  ['instrument specific scan attribute', 'scan attribute', 'object attribute']),
    ScanAttribute('FAIMS compensation voltage', 'MS:1001581',
                  ('The DC potential applied to the asymmetric waveform in FAIMS '
                   'that compensates for the difference between high and low '
                   'field mobility of an ion.'),
                  'scan attribute',
                  ['ion mobility attribute', 'scan attribute', 'PSM-level attribute', 'object attribute', 'single identification result attribute', 'identification attribute', 'analysis attribute', 'spectrum identification result details']),
    ScanAttribute('ion mobility drift time', 'MS:1002476',
                  ('Drift time of an ion or spectrum of ions as measured in an '
                   'ion mobility mass spectrometer. This time might refer to the '
                   'central value of a bin into which all ions within a narrow '
                   'range of drift time have been aggregated.'),
                  'scan attribute',
                  ['ion selection attribute', 'ion mobility attribute', 'object attribute', 'scan attribute', 'PSM-level attribute', 'single identification result attribute', 'identification attribute', 'analysis attribute', 'spectrum identification result details']),
    ScanAttribute('inverse reduced ion mobility', 'MS:1002815',
                  ('Ion mobility measurement for an ion or spectrum of ions as '
                   'measured in an ion mobility mass spectrometer. This might '
                   'refer to the central value of a bin into which all ions '
                   'within a narrow range of mobilities have been aggregated.'),
                  'scan attribute',
                  ['ion selection attribute', 'ion mobility attribute', 'object attribute', 'scan attribute', 'PSM-level attribute', 'single identification result attribute', 'identification attribute', 'analysis attribute', 'spectrum identification result details']),
])
# [[[end]]]


FAIMS_compensation_voltage = scan_attributes['MS:1001581']
ion_mobility_drift_time = scan_attributes['MS:1002476']
inverse_reduced_ion_mobility = scan_attributes['MS:1002815']
ion_mobility_attribute = scan_attributes['MS:1002892']

ION_MOBILITY_TYPES = {
    FAIMS_compensation_voltage,
    ion_mobility_drift_time,
    inverse_reduced_ion_mobility,
    ion_mobility_attribute,
}


class IonMobilityMethods(object):
    """Determine the ion mobility measure of a scan event.

    This interface attempts to find FAIMS compensation voltage,
    ion mobility drift time, and inverse reduced ion mobility.

    Attributes
    ----------
    scan_event: :class:`ScanEventInformation`
        The scan to interpret.
    """

    def __init__(self, scan_event):
        self.scan_event = scan_event

    def _get_traits(self):
        return self.scan_event.traits

    def get(self):
        """Find the first ion mobility trait of the scan.

        Returns
        -------
        ims_type: :class:`ScanAttribute`
            The ion mobility type.
        value: float
            The drift time value.
        """
        for ims_type in ION_MOBILITY_TYPES:
            result = self._get_traits().get(ims_type.name)
            if result is not None:
                return (ims_type, result)
        return None

    def has_ion_mobility(self):
        """Check whether the scan has ion mobility measure.

        Returns
        -------
        bool
        """
        return self.get() is not None

    def drift_time(self):
        """Fetch the drift time quantity of the scan

        Returns
        -------
        value: float or :const:`None`
            The measured drift time, or :const:`None`
        """
        _ims_type_value = self.get()
        if _ims_type_value is None:
            return None
        _ims_type, value = _ims_type_value
        return value

    def add_ion_mobility(self, ion_mobility_type, drift_time):
        """Set the drift time value for a specific type of ion mobility on
        the scan event.

        Parameters
        ----------
        ion_mobility_type : :class:`unitfloat`
            The type of ion mobility to set the drift time for
        drift_time : :class:`unitfloat`
            The drift time, with appropriate units.
        """
        self._get_traits()[ion_mobility_type] = drift_time

    def remove_ion_mobility_type(self, ion_mobility_type):
        """Remove a specific type of ion mobility from the scan.

        Parameters
        ----------
        ion_mobility_type : :class:`ScanAttribute`
            The type of ion mobility to remove.
        """
        self._get_traits().pop(ion_mobility_type)

    def ion_mobility_type(self):
        """Fetch the ion mobility type of the scan.

        Returns
        -------
        ims_type: :class:`ScanAttribute` or :const:`None`
            The ion mobility type, or :const:`None`
        """
        _ims_type_value = self.get()
        if _ims_type_value is None:
            return None
        ims_type, _value = _ims_type_value
        return ims_type


binary_data_arrays = []

# [[[cog
# import cog
# from ms_deisotope.data_source.metadata.cv import render_list
# render_list('binary data array', writer=cog.out)
# ]]]
# CV Version: 4.1.95
binary_data_arrays = TermSet([
    Term('m/z array', 'MS:1000514',
         ('A data array of m/z values.'),
         'binary data array',
         ['binary data array']),
    Term('intensity array', 'MS:1000515',
         ('A data array of intensity values.'),
         'binary data array',
         ['binary data array']),
    Term('charge array', 'MS:1000516',
         ('A data array of charge values.'),
         'binary data array',
         ['binary data array']),
    Term('signal to noise array', 'MS:1000517',
         ('A data array of signal-to-noise values.'),
         'binary data array',
         ['binary data array']),
    Term('time array', 'MS:1000595',
         ('A data array of relative time offset values from a reference '
          'time.'),
         'binary data array',
         ['binary data array']),
    Term('wavelength array', 'MS:1000617',
         ('A data array of electromagnetic radiation wavelength values.'),
         'binary data array',
         ['binary data array']),
    Term('non-standard data array', 'MS:1000786',
         ('A data array that contains data not covered by any other '
          'term in this group. Please do not use this term, if the '
          'binary data array type might be commonly used - contact the '
          'PSI-MS working group in order to have another CV term added.'),
         'binary data array',
         ['binary data array']),
    Term('flow rate array', 'MS:1000820',
         ('A data array of flow rate measurements.'),
         'binary data array',
         ['binary data array']),
    Term('pressure array', 'MS:1000821',
         ('A data array of pressure measurements.'),
         'binary data array',
         ['binary data array']),
    Term('temperature array', 'MS:1000822',
         ('A data array of temperature measurements.'),
         'binary data array',
         ['binary data array']),
    Term('mean charge array', 'MS:1002478',
         ('Array of mean charge values where the mean charge is '
          'calculated as a weighted mean of the charges of individual '
          'peaks that are aggregated into a processed spectrum.'),
         'binary data array',
         ['binary data array']),
    Term('resolution array', 'MS:1002529',
         ('A data array of resolution values.'),
         'binary data array',
         ['binary data array']),
    Term('baseline array', 'MS:1002530',
         ('A data array of signal baseline values (the signal in the '
          'absence of analytes).'),
         'binary data array',
         ['binary data array']),
    Term('noise array', 'MS:1002742',
         ('A data array of noise values.'),
         'binary data array',
         ['binary data array']),
    Term('sampled noise m/z array', 'MS:1002743',
         ('A data array of parallel, independent m/z values for a '
          'sampling of noise across a spectrum (typically much smaller '
          'than MS:1000514, the m/z array).'),
         'binary data array',
         ['binary data array']),
    Term('sampled noise intensity array', 'MS:1002744',
         ('A data array of intensity values for the amplitude of noise '
          'variation superposed on the baseline (MS:1002745) across a '
          'spectrum (for use with MS:1002743, sampled noise m/z array).'),
         'binary data array',
         ['binary data array']),
    Term('sampled noise baseline array', 'MS:1002745',
         ('A data array of baseline intensity values (the intensity in '
          'the absence of analytes) for a sampling of noise across a '
          'spectrum (for use with MS:1002743, sampled noise m/z array).'),
         'binary data array',
         ['binary data array']),
    Term('ion mobility array', 'MS:1002893',
         ('Abstract array of ion mobility data values. A more specific '
          'child term concept should be specified in data files to make '
          'precise the nature of the data being provided.'),
         'binary data array',
         ['binary data array']),
    Term('mass array', 'MS:1003143',
         ('A data array of mass values.'),
         'binary data array',
         ['binary data array']),
    Term('scanning quadrupole position lower bound m/z array', 'MS:1003157',
         ('Array of m/z values representing the lower bound m/z of the '
          'quadrupole position at each point in the spectrum.'),
         'binary data array',
         ['binary data array']),
    Term('scanning quadrupole position upper bound m/z array', 'MS:1003158',
         ('Array of m/z values representing the upper bound m/z of the '
          'quadrupole position at each point in the spectrum.'),
         'binary data array',
         ['binary data array']),
    Term('mean ion mobility drift time array', 'MS:1002477',
         ('Array of population mean ion mobility values from a drift '
          'time device, reported in seconds (or milliseconds), '
          'corresponding to a spectrum of individual peaks encoded with '
          'an m/z array.'),
         'binary data array',
         ['ion mobility array', 'binary data array']),
    Term('mean ion mobility array', 'MS:1002816',
         ('Array of population mean ion mobility values (K or K0) based '
          'on ion separation in gaseous phase due to different ion '
          'mobilities under an electric field based on ion size, m/z '
          'and shape, corresponding to a spectrum of individual peaks '
          'encoded with an m/z array.'),
         'binary data array',
         ['ion mobility array', 'binary data array']),
    Term('mean inverse reduced ion mobility array', 'MS:1003006',
         ('Array of population mean ion mobility values based on ion '
          'separation in gaseous phase due to different ion mobilities '
          'under an electric field based on ion size, m/z and shape, '
          'normalized for the local conditions and reported in volt- '
          'second per square centimeter, corresponding to a spectrum of '
          'individual peaks encoded with an m/z array.'),
         'binary data array',
         ['ion mobility array', 'binary data array']),
    Term('raw ion mobility array', 'MS:1003007',
         ('Array of raw ion mobility values (K or K0) based on ion '
          'separation in gaseous phase due to different ion mobilities '
          'under an electric field based on ion size, m/z and shape, '
          'corresponding to a spectrum of individual peaks encoded with '
          'an m/z array.'),
         'binary data array',
         ['ion mobility array', 'binary data array']),
    Term('raw inverse reduced ion mobility array', 'MS:1003008',
         ('Array of raw ion mobility values based on ion separation in '
          'gaseous phase due to different ion mobilities under an '
          'electric field based on ion size, m/z and shape, normalized '
          'for the local conditions and reported in volt-second per '
          'square centimeter, corresponding to a spectrum of individual '
          'peaks encoded with an m/z array.'),
         'binary data array',
         ['ion mobility array', 'binary data array']),
    Term('raw ion mobility drift time array', 'MS:1003153',
         ('Array of raw ion mobility values from a drift time device, '
          'reported in seconds (or milliseconds), corresponding to a '
          'spectrum of individual peaks encoded with an m/z array.'),
         'binary data array',
         ['ion mobility array', 'binary data array']),
    Term('deconvoluted ion mobility array', 'MS:1003154',
         ('Array of ion mobility values (K or K0) based on ion '
          'separation in gaseous phase due to different ion mobilities '
          'under an electric field based on ion size, m/z and shape, as '
          'an average property of an analyte post peak-detection, '
          'weighted charge state reduction, and/or adduct aggregation, '
          'corresponding to a spectrum of individual peaks encoded with '
          'an m/z array.'),
         'binary data array',
         ['ion mobility array', 'binary data array']),
    Term('deconvoluted inverse reduced ion mobility array', 'MS:1003155',
         ('Array of ion mobility values based on ion separation in '
          'gaseous phase due to different ion mobilities under an '
          'electric field based on ion size, m/z and shape, normalized '
          'for the local conditions and reported in volt-second per '
          'square centimeter, as an average property of an analyte post '
          'peak-detection, weighted charge state reduction, and/or '
          'adduct aggregation, corresponding to a spectrum of '
          'individual peaks encoded with an m/z array.'),
         'binary data array',
         ['ion mobility array', 'binary data array']),
    Term('deconvoluted ion mobility drift time array', 'MS:1003156',
         ('Array of mean ion mobility values from a drift time device, '
          'reported in seconds (or milliseconds), as an average '
          'property of an analyte post peak-detection, weighted charge '
          'state reduction, and/or adduct aggregation, corresponding to '
          'a spectrum of individual peaks encoded with an m/z array.'),
         'binary data array',
         ['ion mobility array', 'binary data array']),
])
# [[[end]]]


__all__ = [
    "IsolationWindow", "ScanAcquisitionInformation", "ScanEventInformation",
    "ScanWindow", "ScanAttribute", "scan_attributes",
]