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https://github.com/google/earthengine-api.git
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313 lines
9.8 KiB
Python
Executable File
313 lines
9.8 KiB
Python
Executable File
#!/usr/bin/env python
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"""Collection filters.
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Example usage:
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Filter('time', low, high)
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.bounds(ring)
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.eq('time', value)
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.lt('time', value)
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"""
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# Using lowercase function naming to match the JavaScript names.
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# pylint: disable=g-bad-name
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from . import apifunction
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from . import computedobject
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from . import ee_exception
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# A map from the deprecated old-style comparison operator names to API
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# function names, implicitly prefixed with "Filter.". Negative operators
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# (those starting with "not_") are not included.
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_FUNCTION_NAMES = {
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'equals': 'equals',
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'less_than': 'lessThan',
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'greater_than': 'greaterThan',
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'contains': 'stringContains',
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'starts_with': 'stringStartsWith',
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'ends_with': 'stringEndsWith',
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}
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class Filter(computedobject.ComputedObject):
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"""An object to represent collection filters."""
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_initialized = False
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def __init__(self, opt_filter=None):
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"""Construct a filter.
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This constructor accepts the following args:
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1) Another filter.
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2) An array of filters (which are implicitly ANDed together).
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3) A ComputedObject returning a filter. Users shouldn't be making these;
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they're produced by the generator functions below.
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Args:
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opt_filter: Optional filter to add.
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"""
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self.initialize()
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if isinstance(opt_filter, (list, tuple)):
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if not opt_filter:
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raise ee_exception.EEException('Empty list specified for ee.Filter().')
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elif len(opt_filter) == 1:
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opt_filter = opt_filter[0]
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else:
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self._filter = tuple(opt_filter)
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super(Filter, self).__init__(
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apifunction.ApiFunction.lookup('Filter.and'),
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{'filters': self._filter})
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return
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if isinstance(opt_filter, computedobject.ComputedObject):
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super(Filter, self).__init__(
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opt_filter.func, opt_filter.args, opt_filter.varName)
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self._filter = (opt_filter,)
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elif opt_filter is None:
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# A silly call with no arguments left for backward-compatibility.
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# Encoding such a filter is expected to fail, but it can be composed
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# by calling the various methods that end up in _append().
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super(Filter, self).__init__(None, None)
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self._filter = ()
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else:
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raise ee_exception.EEException(
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'Invalid argument specified for ee.Filter(): %s' % opt_filter)
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@classmethod
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def initialize(cls):
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"""Imports API functions to this class."""
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if not cls._initialized:
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apifunction.ApiFunction.importApi(cls, 'Filter', 'Filter')
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cls._initialized = True
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@classmethod
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def reset(cls):
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"""Removes imported API functions from this class."""
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apifunction.ApiFunction.clearApi(cls)
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cls._initialized = False
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def predicateCount(self):
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"""Return the number of predicates that have been added to this filter.
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Returns:
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The number of predicates that have been added to this filter.
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This does not count nested predicates.
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"""
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return len(self._filter)
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def _append(self, new_filter):
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"""Append a predicate to this filter.
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These are implicitly ANDed.
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Args:
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new_filter: The filter to append to this one. Possible types are:
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1) another fully constructed Filter,
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2) a JSON representation of a filter,
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3) an array of 1 or 2.
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Returns:
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A new filter that is the combination of both.
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"""
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if new_filter is not None:
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prev = list(self._filter)
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if isinstance(new_filter, Filter):
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prev.extend(new_filter._filter) # pylint: disable=protected-access
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elif isinstance(new_filter, list):
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prev.extend(new_filter)
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else:
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prev.append(new_filter)
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return Filter(prev)
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def Not(self):
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"""Returns the opposite of this filter.
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Returns:
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The negated filter, which will match iff this filter doesn't.
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"""
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return apifunction.ApiFunction.call_('Filter.not', self)
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@staticmethod
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def metadata_(name, operator, value):
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"""Filter on metadata. This is deprecated.
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Args:
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name: The property name to filter on.
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operator: The type of comparison. One of:
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"equals", "less_than", "greater_than", "contains", "begins_with",
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"ends_with", or any of these prefixed with "not_".
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value: The value to compare against.
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Returns:
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The new filter.
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Deprecated. Use ee.Filter.eq(), ee.Filter.gte(), etc.'
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"""
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operator = operator.lower()
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# Check for negated filters.
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negated = False
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if operator.startswith('not_'):
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negated = True
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operator = operator[4:]
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# Convert the operator to a function.
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if operator not in _FUNCTION_NAMES:
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raise ee_exception.EEException(
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'Unknown filtering operator: %s' % operator)
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func_name = 'Filter.' + _FUNCTION_NAMES[operator]
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new_filter = apifunction.ApiFunction.call_(func_name, name, value)
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return new_filter.Not() if negated else new_filter
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@staticmethod
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def eq(name, value):
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"""Filter to metadata equal to the given value."""
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return apifunction.ApiFunction.call_('Filter.equals', name, value)
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@staticmethod
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def neq(name, value):
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"""Filter to metadata not equal to the given value."""
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return Filter.eq(name, value).Not()
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@staticmethod
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def lt(name, value):
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"""Filter to metadata less than the given value."""
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return apifunction.ApiFunction.call_('Filter.lessThan', name, value)
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@staticmethod
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def gte(name, value):
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"""Filter on metadata greater than or equal to the given value."""
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return Filter.lt(name, value).Not()
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@staticmethod
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def gt(name, value):
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"""Filter on metadata greater than the given value."""
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return apifunction.ApiFunction.call_('Filter.greaterThan', name, value)
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@staticmethod
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def lte(name, value):
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"""Filter on metadata less than or equal to the given value."""
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return Filter.gt(name, value).Not()
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@staticmethod
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def And(*args):
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"""Combine two or more filters using boolean AND."""
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if len(args) == 1 and isinstance(args[0], (list, tuple)):
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args = args[0]
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return apifunction.ApiFunction.call_('Filter.and', args)
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@staticmethod
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def Or(*args):
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"""Combine two or more filters using boolean OR."""
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if len(args) == 1 and isinstance(args[0], (list, tuple)):
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args = args[0]
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return apifunction.ApiFunction.call_('Filter.or', args)
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@staticmethod
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def date(start, opt_end=None):
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"""Filter images by date.
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The start and end may be a Date, numbers (interpreted as milliseconds since
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1970-01-01T00:00:00Z), or strings (such as '1996-01-01T08:00'). Based on
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'system:time_start'.
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Args:
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start: The inclusive start date.
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opt_end: The optional exclusive end date, If not specified, a
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1-millisecond range starting at 'start' is created.
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Returns:
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The modified filter.
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"""
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date_range = apifunction.ApiFunction.call_('DateRange', start, opt_end)
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return apifunction.ApiFunction.apply_('Filter.dateRangeContains', {
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'leftValue': date_range,
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'rightField': 'system:time_start'
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})
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@staticmethod
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def inList(opt_leftField=None,
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opt_rightValue=None,
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opt_rightField=None,
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opt_leftValue=None):
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"""Filter on metadata contained in a list.
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Args:
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opt_leftField: A selector for the left operand.
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Should not be specified if leftValue is specified.
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opt_rightValue: The value of the right operand.
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Should not be specified if rightField is specified.
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opt_rightField: A selector for the right operand.
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Should not be specified if rightValue is specified.
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opt_leftValue: The value of the left operand.
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Should not be specified if leftField is specified.
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Returns:
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The constructed filter.
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"""
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# Implement this in terms of listContains, with the arguments switched.
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# In listContains the list is on the left side, while in inList it's on
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# the right.
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return apifunction.ApiFunction.apply_('Filter.listContains', {
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'leftField': opt_rightField,
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'rightValue': opt_leftValue,
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'rightField': opt_leftField,
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'leftValue': opt_rightValue
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})
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@staticmethod
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def geometry(geometry, opt_errorMargin=None):
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"""Filter on intersection with geometry.
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Items in the collection with a footprint that fails to intersect
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the given geometry will be excluded.
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Args:
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geometry: The geometry to filter to either as a GeoJSON geometry,
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or a FeatureCollection, from which a geometry will be extracted.
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opt_errorMargin: An optional error margin. If a number, interpreted as
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sphere surface meters.
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Returns:
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The constructed filter.
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"""
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# Invoke geometry promotion then manually promote to a Feature.
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args = {
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'leftField': '.all',
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'rightValue': apifunction.ApiFunction.call_('Feature', geometry)
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}
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if opt_errorMargin is not None:
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args['maxError'] = opt_errorMargin
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return apifunction.ApiFunction.apply_('Filter.intersects', args)
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@staticmethod
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def bounds(geometry, opt_errorMargin=None):
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"""Filter on intersection with geometry.
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Items in the collection with a footprint that fails to intersect
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the given geometry will be excluded. This is an alias for geometry().
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Caution: providing a large or complex collection as input can result in poor
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performance. Collating the geometry of collections does not scale well, use
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the smallest collection (or geometry) that is required to achieve the
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desired outcome.
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Args:
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geometry: The geometry to filter to either as a GeoJSON geometry,
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or a FeatureCollection, from which a geometry will be extracted.
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opt_errorMargin: An optional error margin. If a number, interpreted as
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sphere surface meters.
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Returns:
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The constructed filter.
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"""
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return Filter.geometry(geometry, opt_errorMargin)
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@staticmethod
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def name():
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return 'Filter'
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