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rangekiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cpplist index out of rangekiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cpplist index out of rangekiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva._cython_speedups.points_in_polygonnumpy.PyArray_MultiIterNew1numpy.PyArray_MultiIterNew2numpy.PyArray_MultiIterNew3numpy.PyArray_MultiIterNew4numpy.PyArray_MultiIterNew5numpy.import_arraykiva\_cython_speedups.cppnumpy.import_arraynumpy.import_umathkiva\_cython_speedups.cppnumpy.import_umathnumpy.import_ufunckiva\_cython_speedups.cppnumpy.import_ufunc__cinit____cinit____cinit____cinit__View.MemoryView.array.__cinit__shapeformatArgument '%.200s' must not be Noneobject of type 'NoneType' has no len()kiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppbytesExpected %.16s, got %.200skiva\_cython_speedups.cppexpected bytes, NoneType foundkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppinteger division or modulo by zerovalue too large to perform divisionView.MemoryView.array.__cinit__PyObject_GetBuffer: view==NULL argument is obsoletekiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.array.__getbuffer__kiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.array.memview.__get__kiva\_cython_speedups.cppView.MemoryView.array.get_memviewkiva\_cython_speedups.cppView.MemoryView.array.__getattr__kiva\_cython_speedups.cppView.MemoryView.array.__getitem__kiva\_cython_speedups.cppView.MemoryView.array.__setitem__kiva\_cython_speedups.cppView.MemoryView.array.__reduce_cython__kiva\_cython_speedups.cppView.MemoryView.array.__setstate_cython__kiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.array_cwrapper__init____init__View.MemoryView.Enum.__init__kiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.Enum.__reduce_cython__tupleExpected %.16s, got %.200skiva\_cython_speedups.cppView.MemoryView.Enum.__setstate_cython____cinit____cinit____cinit__View.MemoryView.memoryview.__cinit__kiva\_cython_speedups.cppView.MemoryView.memoryview.__cinit__kiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.memoryview.get_item_pointerkiva\_cython_speedups.cppView.MemoryView.memoryview.__getitem__kiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.memoryview.__setitem__kiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.memoryview.is_slicekiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.memoryview.is_slicekiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.memoryview.setitem_slice_assignmentkiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.memoryview.setitem_slice_assign_scalarkiva\_cython_speedups.cppView.MemoryView.memoryview.setitem_indexedkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cpplist index out of rangekiva\_cython_speedups.cppView.MemoryView.memoryview.convert_item_to_objectkiva\_cython_speedups.cppView.MemoryView.memoryview.convert_item_to_objectkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppbytesExpected %.16s, got %.200skiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppbytesExpected %.16s, got %.200s'NoneType' is not iterablekiva\_cython_speedups.cppView.MemoryView.memoryview.assign_item_from_objectPyObject_GetBuffer: view==NULL argument is obsoletekiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.memoryview.__getbuffer__kiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.memoryview.T.__get__kiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.memoryview.shape.__get__kiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.memoryview.strides.__get__kiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.memoryview.suboffsets.__get__View.MemoryView.memoryview.ndim.__get__View.MemoryView.memoryview.itemsize.__get__kiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.memoryview.nbytes.__get__kiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.memoryview.size.__get__kiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.memoryview.__repr__kiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.memoryview.__str__View.MemoryView.memoryview.is_c_contigView.MemoryView.memoryview.is_f_contigcView.MemoryView.memoryview.copyfortranView.MemoryView.memoryview.copy_fortrankiva\_cython_speedups.cppView.MemoryView.memoryview.__reduce_cython__kiva\_cython_speedups.cppView.MemoryView.memoryview.__setstate_cython__kiva\_cython_speedups.cppView.MemoryView.memoryview_cwrapperkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView._unellipsifykiva\_cython_speedups.cppView.MemoryView.assert_direct_dimensionskiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppmemviewsliceobjmemviewsliceobjView.MemoryView.memview_sliceIndex out of bounds (axis %d)Step may not be zero (axis %d)View.MemoryView.slice_memviewsliceAll dimensions preceding dimension %d must be indexed and not slicedinteger division or modulo by zerovalue too large to perform divisionkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.pybuffer_indexCannot transpose memoryview with indirect dimensionsView.MemoryView.transpose_memsliceView.MemoryView._memoryviewslice.convert_item_to_objectkiva\_cython_speedups.cppView.MemoryView._memoryviewslice.assign_item_from_objectkiva\_cython_speedups.cppView.MemoryView._memoryviewslice.__reduce_cython__kiva\_cython_speedups.cppView.MemoryView._memoryviewslice.__setstate_cython__kiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.memoryview_fromsliceView.MemoryView.get_slice_from_memviewView.MemoryView.memoryview_copyView.MemoryView.memoryview_copy_from_sliceView.MemoryView.copy_data_to_tempkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView._err_extentskiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView._err_dimkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView._errDimension %d is not directView.MemoryView.memoryview_copy_contentskiva\_cython_speedups.cpp__pyx_unpickle_Enum__pyx_unpickle_Enum__pyx_unpickle_Enum__pyx_unpickle_Enum__pyx_unpickle_EnumView.MemoryView.__pyx_unpickle_Enumkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cpptupleExpected %.16s, got %.200skiva\_cython_speedups.cppView.MemoryView.__pyx_unpickle_Enum'NoneType' object is not subscriptabletuple index out of rangekiva\_cython_speedups.cppobject of type 'NoneType' has no len()kiva\_cython_speedups.cpp'NoneType' object is not subscriptabletuple index out of rangekiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppView.MemoryView.__pyx_unpickle_Enum__set_statekiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppSubscript deletion not supported by %.200s__getattr____reduce_cython____setstate_cython__memviewkiva._cython_speedups.arraykiva\_cython_speedups.cpp__reduce_cython____setstate_cython__kiva._cython_speedups.Enumkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppSubscript deletion not supported by %.200sis_c_contigis_f_contigcopycopy_fortran__reduce_cython____setstate_cython__Tbaseshapestridessuboffsetsndimitemsizenbytessizekiva._cython_speedups.memoryviewkiva\_cython_speedups.cpp__reduce_cython____setstate_cython__basekiva._cython_speedups._memoryviewsliceInternal class for passing memoryview slices to Python_cython_speedupsbuiltinstypebuiltinskiva\_cython_speedups.cppnumpydtypenumpyflatiternumpybroadcastnumpyndarraynumpygenericnumpynumbernumpyintegernumpysignedintegernumpyunsignedintegernumpyinexactnumpyfloatingnumpycomplexfloatingnumpyflexiblenumpycharacternumpyufuncnumpykiva\_cython_speedups.cppInterpreter change detected - this module can only be loaded into one interpreter per process.kiva\_cython_speedups.cppnamekiva\_cython_speedups.cpp__loader__loader__file__origin__package__parent__path__submodule_search_locationsbuiltinsModule '_cython_speedups' has already been imported. Re-initialisation is not supported.cython_runtime__builtins__kiva._cython_speedupskiva._cython_speedupskiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppgetbuffer(obj, view, flags)kiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppkiva\_cython_speedups.cppgetbuffer(obj, view, flags)kiva\_cython_speedups.cppgetbuffer(obj, view, flags)kiva\_cython_speedups.cppkiva\_cython_speedups.cppinit kiva._cython_speedupskiva\_cython_speedups.cppinit kiva._cython_speedupsname '%U' is not definedat leastat mostexactlys%.200s() takes %.8s %zd positional argument%.1s (%zd given)%s() got multiple values for keyword argument '%U'%.200s() keywords must be strings%s() got an unexpected keyword argument '%U' while calling a Python objectNULL result without error in PyObject_Callkiva\_cython_speedups.cpp while calling a Python objectkiva\_cython_speedups.cppkiva\_cython_speedups.cpp while calling a Python objectNULL result without error in PyObject_Callkiva\_cython_speedups.cppkiva\_cython_speedups.cppraise: arg 3 must be a traceback or Noneinstance exception may not have a separate valuekiva\_cython_speedups.cppraise: exception class must be a subclass of BaseExceptioncalling %R should have returned an instance of BaseException, not %Rexception causes must derive from BaseExceptionOut of bounds on buffer access (axis %d)memviewslice is already initialized!Acquisition count is %d (line %d)Acquisition count is %d (line %d)kiva\_cython_speedups.cppkiva\_cython_speedups.cppMissing type objectArgument '%.200s' has incorrect type (expected %.200s, got %.200s)kiva\_cython_speedups.cppkiva\_cython_speedups.cpp'%.200s' object is not subscriptablecannot fit '%.200s' into an index-sized integerc-string too long to convert to Pythontoo many values to unpack (expected %zd)sneed more than %zd value%.1s to unpack'NoneType' object is not iterableMissing type objectCannot convert %.200s to %.200skiva._cython_speedupslocal variable '%s' referenced before assignmentcannot import name %Shasattr(): attribute name must be stringkiva\_cython_speedups.cppkiva\_cython_speedups.cppUnable to initialize pickling for %s%.200s.%.200s is not a type object%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObjectkiva\_cython_speedups.cpp%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObjectkiva\_cython_speedups.cpp%s.%s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject%s (%s:%d)buffer dtypeDoes not understand character buffer dtype format string ('%c')Unexpected format string character: '%c''bool''char''signed char''unsigned char''short''unsigned short''int''unsigned int''long''unsigned long''long long''unsigned long long''complex float''float''complex double''double''complex long double''long double'a structPython objecta pointera stringendunparseable format stringPython does not define a standard format string size for long double ('g')..end'Buffer dtype mismatch, expected %s%s%s but got %sBuffer dtype mismatch, expected '%s' but got %s in '%s.%s'Expected a dimension of size %zu, got %zuExpected %d dimensions, got %dExpected a dimension of size %zu, got %dBuffer dtype mismatch; next field is at offset %zd but %zd expectedCannot handle repeated arrays in format stringExpected a comma in format string, got '%c'Expected %d dimension(s), got %dUnexpected end of format string, expected ')'Little-endian buffer not supported on big-endian compilerBig-endian buffer not supported on little-endian compilerBuffer acquisition: Expected '{' after 'T'Buffer is not indirectly contiguous in dimension %d.Buffer and memoryview are not contiguous in the same dimension.Buffer and memoryview are not contiguous in the same dimension.C-contiguous buffer is not contiguous in dimension %dC-contiguous buffer is not indirect in dimension %dBuffer exposes suboffsets but no stridesBuffer not compatible with direct access in dimension %d.Buffer is not indirectly accessible in dimension %d.Buffer not fortran contiguous.Buffer not C contiguous.Buffer has wrong number of dimensions (expected %d, got %d)sskiva\_cython_speedups.cppItem size of buffer (%zu byte%s) does not match size of '%s' (%zu byte%s)kiva\_cython_speedups.cppCannot copy memoryview slice with indirect dimensions (axis %d)value too large to convert to npy_uint8can't convert negative value to npy_uint8kiva\_cython_speedups.cppkiva\_cython_speedups.cppvalue too large to convert to intcan't convert negative value to intkiva\_cython_speedups.cppkiva\_cython_speedups.cppvalue too large to convert to longcan't convert negative value to longkiva\_cython_speedups.cppkiva\_cython_speedups.cppvalue too large to convert to charcan't convert negative value to char%d.%dkiva._cython_speedupskiva\_cython_speedups.cppcompiletime version %s of module '%.100s' does not match runtime version %skiva\_cython_speedups.cpp__int__ returned non-int (type %.200s).  The ability to return an instance of a strict subclass of int is deprecated, and may be removed in a future version of Python.__%.4s__ returned non-%.4s (type %.200s)kiva\_cython_speedups.cppintan integer is requiredkiva\_cython_speedups.cppkiva\_cython_speedups.cpppts_view__pyx_stateupdatefortran<strided and direct>cline_in_traceback<strided and indirect>$@P`Indirect dimensions not supported<contiguous and indirect>poly_pts_view__setstate_cython__numpyCannot assign to read-only memoryviewImportError<contiguous and direct>Unable to convert item to objectreshape__setstate____main__Empty shape tuple for cython.array__pyx_resultmemviewastypeenumerateTest whether point pairs in pts are within the polygon, poly_pts.

    Parameters
    ----------
    pts
        an Nx2 array of x,y point pairs (floating point).  Each point is tested
        to determine whether it falls within the polygon defined by `poly_pts`.
    poly_pts
        an Mx2 array of x,y point pairs (floating point) that define the
        boundaries of a polygon.  The last point is considered to be connected
        to the first point.
    return
        a 1D array of integers.  1 is returned if the corresponding x,y pair
        in `pts` falls within `poly_pts`.  0 is returned otherwise.

    This algorithm works for complex polygons.

    Note: If the test point is on the border of the polygon, this
    algorithm will deliver unpredictable results; i.e. the result
    may be "inside" or "outside" depending on arbitrary factors
    such as how the polygon is oriented with respect to the
    coordinate system.

    Adapted from: http://www.alienryderflex.com/polygon/

    Example::

        >>> import numpy as np
        >>> from enable import points_in_polygon
        >>> poly = np.array(((0.0, 0.0),
                            (10.0, 0.0),
                            (10.0, 10.0),
                            (0.0, 10.0)))
        >>> pts = np.array(((-1.0, -1.0),
                           (5.0, 5.0),
                           (15.0, 15.0)))
        >>> results = points_in_polygon(pts, poly)
        [0 1 0]

    __reduce_cython__asarrayallocate_buffer__dict__¼unable to allocate shape and strides.ValueErrorView.MemoryViewshapecfloat64<MemoryView of %r object>OrangeASCII__reduce__modeencodepts must be an Nx2 or 2xN arrayuse_windingstartzerosCannot index with type '%s'dtype_is_objectkiva\_cython_speedups.pyx__import__poly_ptsOut of bounds on buffer access (axis %d)__new__Cannot create writable memory view from read-only memoryview__pyx_unpickle_EnumpackerrorIndexErrornamestringsourcestep__pyx_checksumpoly_pts must be an Nx2 or 2xN arraybool_Can only create a buffer that is contiguous in memory.MemoryErrorunable to allocate array data.__pyx_vtable__transpose__pyx_type<MemoryView of %r at 0x%x>structsize__test__stopitemsize <= 0 for cython.arrayobjitemsize__getstate__flagsgot differing extents in dimension %d (got %d and %d)__pyx_getbufferPickleErrorascontiguousarrayInvalid shape in axis %d: %d.np<strided and direct or indirect>__pyx_PickleErrorpoints_in_polygon (line 15)resultsuint8TypeErrorkiva._cython_speedupspoints_in_polygonptsInvalid mode, expected 'c' or 'fortran', got %spickleno default __reduce__ due to non-trivial __cinit__Incompatible checksums (0x%x vs (0xb068931, 0x82a3537, 0x6ae9995) = (name))numpy.core.multiarray failed to import__name____reduce_ex__ndimid__class__formatnumpy.core.umath failed to importEllipsisdtypeunpackBuffer view does not expose stridesbaseð?@D£¶b
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__stdio_common_vsprintffreemalloc8_initterm9_initterm_eA_seh_filter_dll_configure_narrow_argv5_initialize_narrow_environment6_initialize_onexit_table$_execute_onexit_table_cexitapi-ms-win-crt-stdio-l1-1-0.dllapi-ms-win-crt-heap-l1-1-0.dllapi-ms-win-crt-runtime-l1-1-0.dllFmemcpy±¿DNæ@»ÿÿÿÿ*À)`*(*)d*ð8¬Test whether point pairs in pts are within the polygon, poly_pts.

    Parameters
    ----------
    pts
        an Nx2 array of x,y point pairs (floating point).  Each point is tested
        to determine whether it falls within the polygon defined by `poly_pts`.
    poly_pts
        an Mx2 array of x,y point pairs (floating point) that define the
        boundaries of a polygon.  The last point is considered to be connected
        to the first point.
    return
        a 1D array of integers.  1 is returned if the corresponding x,y pair
        in `pts` falls within `poly_pts`.  0 is returned otherwise.

    This algorithm works for complex polygons.

    Note: If the test point is on the border of the polygon, this
    algorithm will deliver unpredictable results; i.e. the result
    may be "inside" or "outside" depending on arbitrary factors
    such as how the polygon is oriented with respect to the
    coordinate system.

    Adapted from: http://www.alienryderflex.com/polygon/

    Example::

        >>> import numpy as np
        >>> from enable import points_in_polygon
        >>> poly = np.array(((0.0, 0.0),
                            (10.0, 0.0),
                            (10.0, 10.0),
                            (0.0, 10.0)))
        >>> pts = np.array(((-1.0, -1.0),
                           (5.0, 5.0),
                           (15.0, 15.0)))
        >>> results = points_in_polygon(pts, poly)
        [0 1 0]

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