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"numpy.broadcast.reset", "numpy.broadcast.shape", "numpy.broadcast.size", "numpy.broadcast_arrays", "numpy.broadcast_shapes", "numpy.broadcast_to", "numpy.busday_count", "numpy.busday_offset", "numpy.busdaycalendar", "numpy.busdaycalendar.holidays", "numpy.busdaycalendar.weekmask", "numpy.byte_bounds", "numpy.c_", "numpy.can_cast", "numpy.cbrt", "numpy.ceil", "numpy.char.add", "numpy.char.array", "numpy.char.asarray", "numpy.char.capitalize", "numpy.char.center", "numpy.char.chararray", "numpy.char.chararray.T", "numpy.char.chararray.all", "numpy.char.chararray.any", "numpy.char.chararray.argmax", "numpy.char.chararray.argmin", "numpy.char.chararray.argpartition", "numpy.char.chararray.argsort", "numpy.char.chararray.astype", "numpy.char.chararray.base", "numpy.char.chararray.byteswap", "numpy.char.chararray.capitalize", "numpy.char.chararray.center", "numpy.char.chararray.choose", "numpy.char.chararray.clip", "numpy.char.chararray.compress", "numpy.char.chararray.conj", "numpy.char.chararray.conjugate", "numpy.char.chararray.copy", "numpy.char.chararray.count", "numpy.char.chararray.ctypes", "numpy.char.chararray.cumprod", "numpy.char.chararray.cumsum", "numpy.char.chararray.data", "numpy.char.chararray.decode", "numpy.char.chararray.diagonal", "numpy.char.chararray.dot", "numpy.char.chararray.dtype", "numpy.char.chararray.dump", "numpy.char.chararray.dumps", "numpy.char.chararray.encode", "numpy.char.chararray.endswith", "numpy.char.chararray.expandtabs", "numpy.char.chararray.fill", "numpy.char.chararray.find", "numpy.char.chararray.flags", "numpy.char.chararray.flat", "numpy.char.chararray.flatten", "numpy.char.chararray.getfield", "numpy.char.chararray.imag", "numpy.char.chararray.index", "numpy.char.chararray.isalnum", "numpy.char.chararray.isalpha", "numpy.char.chararray.isdecimal", "numpy.char.chararray.isdigit", "numpy.char.chararray.islower", "numpy.char.chararray.isnumeric", "numpy.char.chararray.isspace", "numpy.char.chararray.istitle", 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"numpy.distutils.ccompiler.CCompiler_find_executables", "numpy.distutils.ccompiler.CCompiler_get_version", "numpy.distutils.ccompiler.CCompiler_object_filenames", "numpy.distutils.ccompiler.CCompiler_show_customization", "numpy.distutils.ccompiler.CCompiler_spawn", "numpy.distutils.ccompiler.gen_lib_options", "numpy.distutils.ccompiler.new_compiler", "numpy.distutils.ccompiler.replace_method", "numpy.distutils.ccompiler.simple_version_match", "numpy.distutils.ccompiler_opt", "numpy.distutils.ccompiler_opt.CCompilerOpt", "numpy.distutils.ccompiler_opt.CCompilerOpt.cache_flush", "numpy.distutils.ccompiler_opt.CCompilerOpt.cache_hash", "numpy.distutils.ccompiler_opt.CCompilerOpt.cc_normalize_flags", "numpy.distutils.ccompiler_opt.CCompilerOpt.cc_test_cexpr", "numpy.distutils.ccompiler_opt.CCompilerOpt.cc_test_flags", "numpy.distutils.ccompiler_opt.CCompilerOpt.conf_c_prefix", "numpy.distutils.ccompiler_opt.CCompilerOpt.conf_c_prefix_", 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"numpy.fill_diagonal", "numpy.find_common_type", "numpy.finfo", "numpy.finfo.smallest_normal", "numpy.finfo.tiny", "numpy.fix", "numpy.flatiter", "numpy.flatiter.base", "numpy.flatiter.coords", "numpy.flatiter.copy", "numpy.flatiter.index", "numpy.flatnonzero", "numpy.flip", "numpy.fliplr", "numpy.flipud", "numpy.float_power", "numpy.floor", "numpy.floor_divide", "numpy.fmax", "numpy.fmin", "numpy.fmod", "numpy.format_float_positional", "numpy.format_float_scientific", "numpy.format_parser", "numpy.frexp", "numpy.from_dlpack", "numpy.frombuffer", "numpy.fromfile", "numpy.fromfunction", "numpy.fromiter", "numpy.frompyfunc", "numpy.fromregex", "numpy.fromstring", "numpy.full", "numpy.full_like", "numpy.gcd", "numpy.generic.T", "numpy.generic.__array__", "numpy.generic.__array_interface__", "numpy.generic.__array_priority__", "numpy.generic.__array_struct__", "numpy.generic.__array_wrap__", "numpy.generic.__reduce__", "numpy.generic.__setstate__", "numpy.generic.base", "numpy.generic.byteswap", "numpy.generic.data", "numpy.generic.dtype", "numpy.generic.flags", "numpy.generic.flat", "numpy.generic.imag", "numpy.generic.itemsize", "numpy.generic.ndim", "numpy.generic.real", "numpy.generic.setflags", "numpy.generic.shape", "numpy.generic.size", "numpy.generic.squeeze", "numpy.generic.strides", "numpy.genfromtxt", "numpy.geomspace", "numpy.get_include", "numpy.get_printoptions", "numpy.getbufsize", "numpy.geterr", "numpy.geterrcall", "numpy.geterrobj", "numpy.gradient", "numpy.greater", "numpy.greater_equal", "numpy.hamming", "numpy.hanning", "numpy.heaviside", "numpy.histogram", "numpy.histogram2d", "numpy.histogram_bin_edges", "numpy.histogramdd", "numpy.hsplit", "numpy.hstack", "numpy.hypot", "numpy.i0", "numpy.identity", "numpy.iinfo", "numpy.iinfo.max", "numpy.iinfo.min", "numpy.imag", "numpy.in1d", "numpy.indices", "numpy.info", "numpy.inner", "numpy.insert", "numpy.interp", "numpy.intersect1d", "numpy.invert", "numpy.is_busday", "numpy.isclose", 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"numpy.polynomial.chebyshev.Chebyshev", "numpy.polynomial.chebyshev.Chebyshev.__call__", "numpy.polynomial.chebyshev.Chebyshev.basis", "numpy.polynomial.chebyshev.Chebyshev.basis_name", "numpy.polynomial.chebyshev.Chebyshev.cast", "numpy.polynomial.chebyshev.Chebyshev.convert", "numpy.polynomial.chebyshev.Chebyshev.copy", "numpy.polynomial.chebyshev.Chebyshev.cutdeg", "numpy.polynomial.chebyshev.Chebyshev.degree", "numpy.polynomial.chebyshev.Chebyshev.deriv", "numpy.polynomial.chebyshev.Chebyshev.domain", "numpy.polynomial.chebyshev.Chebyshev.fit", "numpy.polynomial.chebyshev.Chebyshev.fromroots", "numpy.polynomial.chebyshev.Chebyshev.has_samecoef", "numpy.polynomial.chebyshev.Chebyshev.has_samedomain", "numpy.polynomial.chebyshev.Chebyshev.has_sametype", "numpy.polynomial.chebyshev.Chebyshev.has_samewindow", "numpy.polynomial.chebyshev.Chebyshev.identity", "numpy.polynomial.chebyshev.Chebyshev.integ", "numpy.polynomial.chebyshev.Chebyshev.interpolate", "numpy.polynomial.chebyshev.Chebyshev.linspace", "numpy.polynomial.chebyshev.Chebyshev.mapparms", "numpy.polynomial.chebyshev.Chebyshev.maxpower", "numpy.polynomial.chebyshev.Chebyshev.roots", "numpy.polynomial.chebyshev.Chebyshev.symbol", "numpy.polynomial.chebyshev.Chebyshev.trim", "numpy.polynomial.chebyshev.Chebyshev.truncate", "numpy.polynomial.chebyshev.Chebyshev.window", "numpy.polynomial.chebyshev.cheb2poly", "numpy.polynomial.chebyshev.chebadd", "numpy.polynomial.chebyshev.chebcompanion", "numpy.polynomial.chebyshev.chebder", "numpy.polynomial.chebyshev.chebdiv", "numpy.polynomial.chebyshev.chebdomain", "numpy.polynomial.chebyshev.chebfit", "numpy.polynomial.chebyshev.chebfromroots", "numpy.polynomial.chebyshev.chebgauss", "numpy.polynomial.chebyshev.chebgrid2d", "numpy.polynomial.chebyshev.chebgrid3d", "numpy.polynomial.chebyshev.chebint", "numpy.polynomial.chebyshev.chebinterpolate", "numpy.polynomial.chebyshev.chebline", "numpy.polynomial.chebyshev.chebmul", "numpy.polynomial.chebyshev.chebmulx", "numpy.polynomial.chebyshev.chebone", "numpy.polynomial.chebyshev.chebpow", "numpy.polynomial.chebyshev.chebpts1", "numpy.polynomial.chebyshev.chebpts2", "numpy.polynomial.chebyshev.chebroots", "numpy.polynomial.chebyshev.chebsub", "numpy.polynomial.chebyshev.chebtrim", "numpy.polynomial.chebyshev.chebval", "numpy.polynomial.chebyshev.chebval2d", "numpy.polynomial.chebyshev.chebval3d", "numpy.polynomial.chebyshev.chebvander", "numpy.polynomial.chebyshev.chebvander2d", "numpy.polynomial.chebyshev.chebvander3d", "numpy.polynomial.chebyshev.chebweight", "numpy.polynomial.chebyshev.chebx", "numpy.polynomial.chebyshev.chebzero", "numpy.polynomial.chebyshev.poly2cheb", "numpy.polynomial.hermite.Hermite", "numpy.polynomial.hermite.Hermite.__call__", "numpy.polynomial.hermite.Hermite.basis", "numpy.polynomial.hermite.Hermite.basis_name", "numpy.polynomial.hermite.Hermite.cast", "numpy.polynomial.hermite.Hermite.convert", "numpy.polynomial.hermite.Hermite.copy", "numpy.polynomial.hermite.Hermite.cutdeg", "numpy.polynomial.hermite.Hermite.degree", "numpy.polynomial.hermite.Hermite.deriv", "numpy.polynomial.hermite.Hermite.domain", "numpy.polynomial.hermite.Hermite.fit", "numpy.polynomial.hermite.Hermite.fromroots", "numpy.polynomial.hermite.Hermite.has_samecoef", "numpy.polynomial.hermite.Hermite.has_samedomain", "numpy.polynomial.hermite.Hermite.has_sametype", "numpy.polynomial.hermite.Hermite.has_samewindow", "numpy.polynomial.hermite.Hermite.identity", "numpy.polynomial.hermite.Hermite.integ", "numpy.polynomial.hermite.Hermite.linspace", "numpy.polynomial.hermite.Hermite.mapparms", "numpy.polynomial.hermite.Hermite.maxpower", "numpy.polynomial.hermite.Hermite.roots", "numpy.polynomial.hermite.Hermite.symbol", "numpy.polynomial.hermite.Hermite.trim", "numpy.polynomial.hermite.Hermite.truncate", "numpy.polynomial.hermite.Hermite.window", "numpy.polynomial.hermite.herm2poly", "numpy.polynomial.hermite.hermadd", "numpy.polynomial.hermite.hermcompanion", "numpy.polynomial.hermite.hermder", "numpy.polynomial.hermite.hermdiv", "numpy.polynomial.hermite.hermdomain", "numpy.polynomial.hermite.hermfit", "numpy.polynomial.hermite.hermfromroots", "numpy.polynomial.hermite.hermgauss", "numpy.polynomial.hermite.hermgrid2d", "numpy.polynomial.hermite.hermgrid3d", "numpy.polynomial.hermite.hermint", "numpy.polynomial.hermite.hermline", "numpy.polynomial.hermite.hermmul", "numpy.polynomial.hermite.hermmulx", "numpy.polynomial.hermite.hermone", "numpy.polynomial.hermite.hermpow", "numpy.polynomial.hermite.hermroots", "numpy.polynomial.hermite.hermsub", "numpy.polynomial.hermite.hermtrim", "numpy.polynomial.hermite.hermval", "numpy.polynomial.hermite.hermval2d", "numpy.polynomial.hermite.hermval3d", "numpy.polynomial.hermite.hermvander", "numpy.polynomial.hermite.hermvander2d", "numpy.polynomial.hermite.hermvander3d", "numpy.polynomial.hermite.hermweight", "numpy.polynomial.hermite.hermx", "numpy.polynomial.hermite.hermzero", "numpy.polynomial.hermite.poly2herm", "numpy.polynomial.hermite_e.HermiteE", "numpy.polynomial.hermite_e.HermiteE.__call__", "numpy.polynomial.hermite_e.HermiteE.basis", "numpy.polynomial.hermite_e.HermiteE.basis_name", "numpy.polynomial.hermite_e.HermiteE.cast", "numpy.polynomial.hermite_e.HermiteE.convert", "numpy.polynomial.hermite_e.HermiteE.copy", "numpy.polynomial.hermite_e.HermiteE.cutdeg", "numpy.polynomial.hermite_e.HermiteE.degree", "numpy.polynomial.hermite_e.HermiteE.deriv", "numpy.polynomial.hermite_e.HermiteE.domain", "numpy.polynomial.hermite_e.HermiteE.fit", "numpy.polynomial.hermite_e.HermiteE.fromroots", "numpy.polynomial.hermite_e.HermiteE.has_samecoef", "numpy.polynomial.hermite_e.HermiteE.has_samedomain", "numpy.polynomial.hermite_e.HermiteE.has_sametype", "numpy.polynomial.hermite_e.HermiteE.has_samewindow", "numpy.polynomial.hermite_e.HermiteE.identity", "numpy.polynomial.hermite_e.HermiteE.integ", "numpy.polynomial.hermite_e.HermiteE.linspace", "numpy.polynomial.hermite_e.HermiteE.mapparms", "numpy.polynomial.hermite_e.HermiteE.maxpower", "numpy.polynomial.hermite_e.HermiteE.roots", "numpy.polynomial.hermite_e.HermiteE.symbol", "numpy.polynomial.hermite_e.HermiteE.trim", "numpy.polynomial.hermite_e.HermiteE.truncate", "numpy.polynomial.hermite_e.HermiteE.window", "numpy.polynomial.hermite_e.herme2poly", "numpy.polynomial.hermite_e.hermeadd", "numpy.polynomial.hermite_e.hermecompanion", "numpy.polynomial.hermite_e.hermeder", "numpy.polynomial.hermite_e.hermediv", "numpy.polynomial.hermite_e.hermedomain", "numpy.polynomial.hermite_e.hermefit", "numpy.polynomial.hermite_e.hermefromroots", "numpy.polynomial.hermite_e.hermegauss", "numpy.polynomial.hermite_e.hermegrid2d", "numpy.polynomial.hermite_e.hermegrid3d", "numpy.polynomial.hermite_e.hermeint", "numpy.polynomial.hermite_e.hermeline", "numpy.polynomial.hermite_e.hermemul", "numpy.polynomial.hermite_e.hermemulx", "numpy.polynomial.hermite_e.hermeone", "numpy.polynomial.hermite_e.hermepow", "numpy.polynomial.hermite_e.hermeroots", "numpy.polynomial.hermite_e.hermesub", "numpy.polynomial.hermite_e.hermetrim", "numpy.polynomial.hermite_e.hermeval", "numpy.polynomial.hermite_e.hermeval2d", "numpy.polynomial.hermite_e.hermeval3d", "numpy.polynomial.hermite_e.hermevander", "numpy.polynomial.hermite_e.hermevander2d", "numpy.polynomial.hermite_e.hermevander3d", "numpy.polynomial.hermite_e.hermeweight", "numpy.polynomial.hermite_e.hermex", "numpy.polynomial.hermite_e.hermezero", "numpy.polynomial.hermite_e.poly2herme", "numpy.polynomial.laguerre.Laguerre", "numpy.polynomial.laguerre.Laguerre.__call__", "numpy.polynomial.laguerre.Laguerre.basis", "numpy.polynomial.laguerre.Laguerre.basis_name", "numpy.polynomial.laguerre.Laguerre.cast", "numpy.polynomial.laguerre.Laguerre.convert", "numpy.polynomial.laguerre.Laguerre.copy", "numpy.polynomial.laguerre.Laguerre.cutdeg", "numpy.polynomial.laguerre.Laguerre.degree", "numpy.polynomial.laguerre.Laguerre.deriv", "numpy.polynomial.laguerre.Laguerre.domain", "numpy.polynomial.laguerre.Laguerre.fit", "numpy.polynomial.laguerre.Laguerre.fromroots", "numpy.polynomial.laguerre.Laguerre.has_samecoef", "numpy.polynomial.laguerre.Laguerre.has_samedomain", "numpy.polynomial.laguerre.Laguerre.has_sametype", "numpy.polynomial.laguerre.Laguerre.has_samewindow", "numpy.polynomial.laguerre.Laguerre.identity", "numpy.polynomial.laguerre.Laguerre.integ", "numpy.polynomial.laguerre.Laguerre.linspace", "numpy.polynomial.laguerre.Laguerre.mapparms", "numpy.polynomial.laguerre.Laguerre.maxpower", "numpy.polynomial.laguerre.Laguerre.roots", "numpy.polynomial.laguerre.Laguerre.symbol", "numpy.polynomial.laguerre.Laguerre.trim", "numpy.polynomial.laguerre.Laguerre.truncate", "numpy.polynomial.laguerre.Laguerre.window", "numpy.polynomial.laguerre.lag2poly", "numpy.polynomial.laguerre.lagadd", "numpy.polynomial.laguerre.lagcompanion", "numpy.polynomial.laguerre.lagder", "numpy.polynomial.laguerre.lagdiv", "numpy.polynomial.laguerre.lagdomain", "numpy.polynomial.laguerre.lagfit", "numpy.polynomial.laguerre.lagfromroots", "numpy.polynomial.laguerre.laggauss", "numpy.polynomial.laguerre.laggrid2d", "numpy.polynomial.laguerre.laggrid3d", "numpy.polynomial.laguerre.lagint", "numpy.polynomial.laguerre.lagline", "numpy.polynomial.laguerre.lagmul", "numpy.polynomial.laguerre.lagmulx", "numpy.polynomial.laguerre.lagone", "numpy.polynomial.laguerre.lagpow", "numpy.polynomial.laguerre.lagroots", "numpy.polynomial.laguerre.lagsub", "numpy.polynomial.laguerre.lagtrim", "numpy.polynomial.laguerre.lagval", "numpy.polynomial.laguerre.lagval2d", "numpy.polynomial.laguerre.lagval3d", "numpy.polynomial.laguerre.lagvander", "numpy.polynomial.laguerre.lagvander2d", "numpy.polynomial.laguerre.lagvander3d", "numpy.polynomial.laguerre.lagweight", "numpy.polynomial.laguerre.lagx", "numpy.polynomial.laguerre.lagzero", "numpy.polynomial.laguerre.poly2lag", "numpy.polynomial.legendre.Legendre", "numpy.polynomial.legendre.Legendre.__call__", "numpy.polynomial.legendre.Legendre.basis", "numpy.polynomial.legendre.Legendre.basis_name", "numpy.polynomial.legendre.Legendre.cast", "numpy.polynomial.legendre.Legendre.convert", "numpy.polynomial.legendre.Legendre.copy", "numpy.polynomial.legendre.Legendre.cutdeg", "numpy.polynomial.legendre.Legendre.degree", "numpy.polynomial.legendre.Legendre.deriv", "numpy.polynomial.legendre.Legendre.domain", "numpy.polynomial.legendre.Legendre.fit", "numpy.polynomial.legendre.Legendre.fromroots", "numpy.polynomial.legendre.Legendre.has_samecoef", "numpy.polynomial.legendre.Legendre.has_samedomain", "numpy.polynomial.legendre.Legendre.has_sametype", "numpy.polynomial.legendre.Legendre.has_samewindow", "numpy.polynomial.legendre.Legendre.identity", "numpy.polynomial.legendre.Legendre.integ", "numpy.polynomial.legendre.Legendre.linspace", "numpy.polynomial.legendre.Legendre.mapparms", "numpy.polynomial.legendre.Legendre.maxpower", "numpy.polynomial.legendre.Legendre.roots", "numpy.polynomial.legendre.Legendre.symbol", "numpy.polynomial.legendre.Legendre.trim", "numpy.polynomial.legendre.Legendre.truncate", "numpy.polynomial.legendre.Legendre.window", "numpy.polynomial.legendre.leg2poly", "numpy.polynomial.legendre.legadd", "numpy.polynomial.legendre.legcompanion", "numpy.polynomial.legendre.legder", "numpy.polynomial.legendre.legdiv", "numpy.polynomial.legendre.legdomain", "numpy.polynomial.legendre.legfit", "numpy.polynomial.legendre.legfromroots", "numpy.polynomial.legendre.leggauss", "numpy.polynomial.legendre.leggrid2d", "numpy.polynomial.legendre.leggrid3d", "numpy.polynomial.legendre.legint", "numpy.polynomial.legendre.legline", "numpy.polynomial.legendre.legmul", "numpy.polynomial.legendre.legmulx", "numpy.polynomial.legendre.legone", "numpy.polynomial.legendre.legpow", "numpy.polynomial.legendre.legroots", "numpy.polynomial.legendre.legsub", "numpy.polynomial.legendre.legtrim", "numpy.polynomial.legendre.legval", "numpy.polynomial.legendre.legval2d", "numpy.polynomial.legendre.legval3d", "numpy.polynomial.legendre.legvander", "numpy.polynomial.legendre.legvander2d", "numpy.polynomial.legendre.legvander3d", "numpy.polynomial.legendre.legweight", "numpy.polynomial.legendre.legx", "numpy.polynomial.legendre.legzero", "numpy.polynomial.legendre.poly2leg", "numpy.polynomial.polynomial.Polynomial", "numpy.polynomial.polynomial.Polynomial.__call__", "numpy.polynomial.polynomial.Polynomial.basis", "numpy.polynomial.polynomial.Polynomial.basis_name", "numpy.polynomial.polynomial.Polynomial.cast", "numpy.polynomial.polynomial.Polynomial.convert", "numpy.polynomial.polynomial.Polynomial.copy", "numpy.polynomial.polynomial.Polynomial.cutdeg", "numpy.polynomial.polynomial.Polynomial.degree", "numpy.polynomial.polynomial.Polynomial.deriv", "numpy.polynomial.polynomial.Polynomial.domain", "numpy.polynomial.polynomial.Polynomial.fit", "numpy.polynomial.polynomial.Polynomial.fromroots", "numpy.polynomial.polynomial.Polynomial.has_samecoef", "numpy.polynomial.polynomial.Polynomial.has_samedomain", "numpy.polynomial.polynomial.Polynomial.has_sametype", "numpy.polynomial.polynomial.Polynomial.has_samewindow", "numpy.polynomial.polynomial.Polynomial.identity", "numpy.polynomial.polynomial.Polynomial.integ", "numpy.polynomial.polynomial.Polynomial.linspace", "numpy.polynomial.polynomial.Polynomial.mapparms", "numpy.polynomial.polynomial.Polynomial.maxpower", "numpy.polynomial.polynomial.Polynomial.roots", "numpy.polynomial.polynomial.Polynomial.symbol", "numpy.polynomial.polynomial.Polynomial.trim", "numpy.polynomial.polynomial.Polynomial.truncate", "numpy.polynomial.polynomial.Polynomial.window", "numpy.polynomial.polynomial.polyadd", "numpy.polynomial.polynomial.polycompanion", "numpy.polynomial.polynomial.polyder", "numpy.polynomial.polynomial.polydiv", "numpy.polynomial.polynomial.polydomain", "numpy.polynomial.polynomial.polyfit", "numpy.polynomial.polynomial.polyfromroots", "numpy.polynomial.polynomial.polygrid2d", "numpy.polynomial.polynomial.polygrid3d", "numpy.polynomial.polynomial.polyint", "numpy.polynomial.polynomial.polyline", "numpy.polynomial.polynomial.polymul", "numpy.polynomial.polynomial.polymulx", "numpy.polynomial.polynomial.polyone", "numpy.polynomial.polynomial.polypow", "numpy.polynomial.polynomial.polyroots", "numpy.polynomial.polynomial.polysub", "numpy.polynomial.polynomial.polytrim", "numpy.polynomial.polynomial.polyval", "numpy.polynomial.polynomial.polyval2d", "numpy.polynomial.polynomial.polyval3d", "numpy.polynomial.polynomial.polyvalfromroots", "numpy.polynomial.polynomial.polyvander", "numpy.polynomial.polynomial.polyvander2d", "numpy.polynomial.polynomial.polyvander3d", "numpy.polynomial.polynomial.polyx", "numpy.polynomial.polynomial.polyzero", "numpy.polynomial.polyutils.RankWarning", "numpy.polynomial.polyutils.as_series", "numpy.polynomial.polyutils.getdomain", "numpy.polynomial.polyutils.mapdomain", "numpy.polynomial.polyutils.mapparms", "numpy.polynomial.polyutils.trimcoef", "numpy.polynomial.polyutils.trimseq", "numpy.polynomial.set_default_printstyle", "numpy.polysub", "numpy.polyval", "numpy.positive", "numpy.power", "numpy.printoptions", "numpy.prod", "numpy.promote_types", "numpy.ptp", "numpy.put", "numpy.put_along_axis", "numpy.putmask", "numpy.quantile", "numpy.r_", "numpy.rad2deg", "numpy.radians", "numpy.ravel", "numpy.ravel_multi_index", "numpy.real", "numpy.real_if_close", "numpy.recarray", "numpy.recarray.T", "numpy.recarray.all", "numpy.recarray.any", "numpy.recarray.argmax", "numpy.recarray.argmin", "numpy.recarray.argpartition", "numpy.recarray.argsort", "numpy.recarray.astype", "numpy.recarray.base", "numpy.recarray.byteswap", "numpy.recarray.choose", "numpy.recarray.clip", "numpy.recarray.compress", "numpy.recarray.conj", "numpy.recarray.conjugate", "numpy.recarray.copy", "numpy.recarray.ctypes", "numpy.recarray.cumprod", "numpy.recarray.cumsum", "numpy.recarray.data", "numpy.recarray.diagonal", "numpy.recarray.dot", "numpy.recarray.dtype", "numpy.recarray.dump", "numpy.recarray.dumps", "numpy.recarray.field", "numpy.recarray.fill", "numpy.recarray.flags", "numpy.recarray.flat", "numpy.recarray.flatten", "numpy.recarray.getfield", "numpy.recarray.imag", "numpy.recarray.item", "numpy.recarray.itemset", "numpy.recarray.itemsize", "numpy.recarray.max", "numpy.recarray.mean", "numpy.recarray.min", "numpy.recarray.nbytes", "numpy.recarray.ndim", "numpy.recarray.newbyteorder", "numpy.recarray.nonzero", "numpy.recarray.partition", "numpy.recarray.prod", "numpy.recarray.ptp", "numpy.recarray.put", "numpy.recarray.ravel", "numpy.recarray.real", "numpy.recarray.repeat", "numpy.recarray.reshape", "numpy.recarray.resize", "numpy.recarray.round", "numpy.recarray.searchsorted", "numpy.recarray.setfield", "numpy.recarray.setflags", "numpy.recarray.shape", "numpy.recarray.size", "numpy.recarray.sort", "numpy.recarray.squeeze", "numpy.recarray.std", "numpy.recarray.strides", "numpy.recarray.sum", "numpy.recarray.swapaxes", "numpy.recarray.take", "numpy.recarray.tobytes", "numpy.recarray.tofile", "numpy.recarray.tolist", "numpy.recarray.tostring", "numpy.recarray.trace", "numpy.recarray.transpose", "numpy.recarray.var", "numpy.recarray.view", "numpy.reciprocal", "numpy.record", "numpy.record.T", "numpy.record.all", "numpy.record.any", "numpy.record.argmax", "numpy.record.argmin", "numpy.record.argsort", "numpy.record.astype", "numpy.record.base", "numpy.record.byteswap", "numpy.record.choose", "numpy.record.clip", "numpy.record.compress", "numpy.record.conj", "numpy.record.conjugate", "numpy.record.copy", "numpy.record.cumprod", "numpy.record.cumsum", "numpy.record.data", "numpy.record.diagonal", "numpy.record.dtype", "numpy.record.dump", "numpy.record.dumps", "numpy.record.fill", "numpy.record.flags", "numpy.record.flat", "numpy.record.flatten", "numpy.record.getfield", "numpy.record.imag", "numpy.record.item", "numpy.record.itemset", "numpy.record.itemsize", "numpy.record.max", "numpy.record.mean", "numpy.record.min", "numpy.record.nbytes", "numpy.record.ndim", "numpy.record.newbyteorder", "numpy.record.nonzero", "numpy.record.pprint", "numpy.record.prod", "numpy.record.ptp", "numpy.record.put", "numpy.record.ravel", "numpy.record.real", "numpy.record.repeat", "numpy.record.reshape", "numpy.record.resize", "numpy.record.round", "numpy.record.searchsorted", "numpy.record.setfield", "numpy.record.setflags", "numpy.record.shape", "numpy.record.size", "numpy.record.sort", "numpy.record.squeeze", "numpy.record.std", "numpy.record.strides", "numpy.record.sum", "numpy.record.swapaxes", "numpy.record.take", "numpy.record.tobytes", "numpy.record.tofile", "numpy.record.tolist", "numpy.record.tostring", "numpy.record.trace", "numpy.record.transpose", "numpy.record.var", "numpy.record.view", "numpy.remainder", "numpy.repeat", "numpy.require", "numpy.reshape", "numpy.resize", "numpy.result_type", "numpy.right_shift", "numpy.rint", "numpy.roll", "numpy.rollaxis", "numpy.roots", "numpy.rot90", "numpy.round", "numpy.row_stack", "numpy.s_", "numpy.save", "numpy.savetxt", "numpy.savez", "numpy.savez_compressed", "numpy.sctype2char", "numpy.searchsorted", "numpy.select", "numpy.set_printoptions", "numpy.set_string_function", "numpy.setbufsize", "numpy.setdiff1d", "numpy.seterr", "numpy.seterrcall", "numpy.seterrobj", "numpy.setxor1d", "numpy.shape", "numpy.shares_memory", "numpy.show_config", "numpy.show_runtime", "numpy.sign", "numpy.signbit", "numpy.sin", "numpy.sinc", "numpy.sinh", "numpy.sort", "numpy.sort_complex", "numpy.source", "numpy.spacing", "numpy.split", "numpy.sqrt", "numpy.square", "numpy.squeeze", "numpy.stack", "numpy.std", "numpy.subtract", "numpy.sum", "numpy.swapaxes", "numpy.take", "numpy.take_along_axis", "numpy.tan", "numpy.tanh", "numpy.tensordot", "numpy.testing.assert_", "numpy.testing.assert_allclose", "numpy.testing.assert_almost_equal", "numpy.testing.assert_approx_equal", "numpy.testing.assert_array_almost_equal", "numpy.testing.assert_array_almost_equal_nulp", "numpy.testing.assert_array_equal", "numpy.testing.assert_array_less", "numpy.testing.assert_array_max_ulp", "numpy.testing.assert_equal", "numpy.testing.assert_no_gc_cycles", "numpy.testing.assert_no_warnings", "numpy.testing.assert_raises", "numpy.testing.assert_raises_regex", "numpy.testing.assert_string_equal", "numpy.testing.assert_warns", "numpy.testing.clear_and_catch_warnings", "numpy.testing.clear_and_catch_warnings.class_modules", "numpy.testing.decorate_methods", "numpy.testing.measure", "numpy.testing.overrides.allows_array_function_override", "numpy.testing.overrides.allows_array_ufunc_override", "numpy.testing.overrides.get_overridable_numpy_array_functions", "numpy.testing.overrides.get_overridable_numpy_ufuncs", "numpy.testing.print_assert_equal", "numpy.testing.rundocs", "numpy.testing.suppress_warnings", "numpy.testing.suppress_warnings.__call__", "numpy.testing.suppress_warnings.filter", "numpy.testing.suppress_warnings.record", "numpy.tile", "numpy.trace", "numpy.transpose", "numpy.trapz", "numpy.tri", "numpy.tril", "numpy.tril_indices", "numpy.tril_indices_from", "numpy.trim_zeros", "numpy.triu", "numpy.triu_indices", "numpy.triu_indices_from", "numpy.true_divide", "numpy.trunc", "numpy.typename", "numpy.ufunc", "numpy.ufunc.__call__", "numpy.ufunc.accumulate", "numpy.ufunc.at", "numpy.ufunc.identity", "numpy.ufunc.nargs", "numpy.ufunc.nin", "numpy.ufunc.nout", "numpy.ufunc.ntypes", "numpy.ufunc.outer", "numpy.ufunc.reduce", "numpy.ufunc.reduceat", "numpy.ufunc.resolve_dtypes", "numpy.ufunc.signature", "numpy.ufunc.types", "numpy.union1d", "numpy.unique", "numpy.unpackbits", "numpy.unravel_index", "numpy.unwrap", "numpy.vander", "numpy.var", "numpy.vdot", "numpy.vectorize", "numpy.vectorize.__call__", "numpy.vsplit", "numpy.vstack", "numpy.where", "numpy.who", "numpy.zeros", "numpy.zeros_like", "Global state", "NumPy reference", "NumPy internals", "NumPy C code explanations", "Masked arrays", "Constants of the <code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">numpy.ma</span></code> module", "The <code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">numpy.ma</span></code> module", "numpy.random.BitGenerator", "numpy.random.BitGenerator.capsule", "numpy.random.BitGenerator.cffi", "numpy.random.BitGenerator.ctypes", "numpy.random.BitGenerator.lock", "numpy.random.BitGenerator.random_raw", "numpy.random.BitGenerator.seed_seq", "numpy.random.BitGenerator.spawn", "numpy.random.BitGenerator.state", "numpy.random.MT19937.cffi", "numpy.random.MT19937.ctypes", "numpy.random.MT19937.jumped", "numpy.random.MT19937.state", "numpy.random.PCG64.advance", "numpy.random.PCG64.cffi", "numpy.random.PCG64.ctypes", "numpy.random.PCG64.jumped", "numpy.random.PCG64.state", "numpy.random.PCG64DXSM.advance", "numpy.random.PCG64DXSM.cffi", "numpy.random.PCG64DXSM.ctypes", "numpy.random.PCG64DXSM.jumped", "numpy.random.PCG64DXSM.state", "numpy.random.Philox.advance", "numpy.random.Philox.cffi", "numpy.random.Philox.ctypes", "numpy.random.Philox.jumped", "numpy.random.Philox.state", "numpy.random.SFC64.cffi", "numpy.random.SFC64.ctypes", "numpy.random.SFC64.state", "numpy.random.SeedSequence", "numpy.random.SeedSequence.entropy", "numpy.random.SeedSequence.generate_state", "numpy.random.SeedSequence.n_children_spawned", "numpy.random.SeedSequence.pool", "numpy.random.SeedSequence.pool_size", "numpy.random.SeedSequence.spawn", "numpy.random.SeedSequence.spawn_key", "numpy.random.SeedSequence.state", "Bit Generators", "Mersenne Twister (MT19937)", "Permuted Congruential Generator (64-bit, PCG64)", "Permuted Congruential Generator (64-bit, PCG64 DXSM)", "Philox Counter-based RNG", "SFC64 Small Fast Chaotic PRNG", "C API for random", "Compatibility Policy", "Extending via CFFI", "extending.pyx", "extending_distributions.pyx", "Extending <code class=\"xref py py-obj docutils literal notranslate\"><span class=\"pre\">numpy.random</span></code> via Cython", "meson.build", "Extending via Numba", "Extending via Numba and CFFI", "Extending", "numpy.random.Generator.beta", "numpy.random.Generator.binomial", "numpy.random.Generator.bit_generator", "numpy.random.Generator.bytes", "numpy.random.Generator.chisquare", "numpy.random.Generator.choice", "numpy.random.Generator.dirichlet", "numpy.random.Generator.exponential", "numpy.random.Generator.f", "numpy.random.Generator.gamma", "numpy.random.Generator.geometric", "numpy.random.Generator.gumbel", "numpy.random.Generator.hypergeometric", "numpy.random.Generator.integers", "numpy.random.Generator.laplace", "numpy.random.Generator.logistic", "numpy.random.Generator.lognormal", "numpy.random.Generator.logseries", "numpy.random.Generator.multinomial", "numpy.random.Generator.multivariate_hypergeometric", "numpy.random.Generator.multivariate_normal", "numpy.random.Generator.negative_binomial", "numpy.random.Generator.noncentral_chisquare", "numpy.random.Generator.noncentral_f", "numpy.random.Generator.normal", "numpy.random.Generator.pareto", "numpy.random.Generator.permutation", "numpy.random.Generator.permuted", "numpy.random.Generator.poisson", "numpy.random.Generator.power", "numpy.random.Generator.random", "numpy.random.Generator.rayleigh", "numpy.random.Generator.shuffle", "numpy.random.Generator.spawn", "numpy.random.Generator.standard_cauchy", "numpy.random.Generator.standard_exponential", "numpy.random.Generator.standard_gamma", "numpy.random.Generator.standard_normal", "numpy.random.Generator.standard_t", "numpy.random.Generator.triangular", "numpy.random.Generator.uniform", "numpy.random.Generator.vonmises", "numpy.random.Generator.wald", "numpy.random.Generator.weibull", "numpy.random.Generator.zipf", "numpy.random.RandomState.beta", "numpy.random.RandomState.binomial", "numpy.random.RandomState.bytes", "numpy.random.RandomState.chisquare", "numpy.random.RandomState.choice", "numpy.random.RandomState.dirichlet", "numpy.random.RandomState.exponential", "numpy.random.RandomState.f", "numpy.random.RandomState.gamma", "numpy.random.RandomState.geometric", "numpy.random.RandomState.get_state", "numpy.random.RandomState.gumbel", "numpy.random.RandomState.hypergeometric", "numpy.random.RandomState.laplace", "numpy.random.RandomState.logistic", "numpy.random.RandomState.lognormal", "numpy.random.RandomState.logseries", "numpy.random.RandomState.multinomial", "numpy.random.RandomState.multivariate_normal", "numpy.random.RandomState.negative_binomial", "numpy.random.RandomState.noncentral_chisquare", "numpy.random.RandomState.noncentral_f", "numpy.random.RandomState.normal", "numpy.random.RandomState.pareto", "numpy.random.RandomState.permutation", "numpy.random.RandomState.poisson", "numpy.random.RandomState.power", "numpy.random.RandomState.rand", "numpy.random.RandomState.randint", "numpy.random.RandomState.randn", "numpy.random.RandomState.random_integers", "numpy.random.RandomState.random_sample", "numpy.random.RandomState.rayleigh", "numpy.random.RandomState.seed", "numpy.random.RandomState.set_state", "numpy.random.RandomState.shuffle", "numpy.random.RandomState.standard_cauchy", "numpy.random.RandomState.standard_exponential", "numpy.random.RandomState.standard_gamma", "numpy.random.RandomState.standard_normal", "numpy.random.RandomState.standard_t", "numpy.random.RandomState.triangular", "numpy.random.RandomState.uniform", "numpy.random.RandomState.vonmises", "numpy.random.RandomState.wald", "numpy.random.RandomState.weibull", "numpy.random.RandomState.zipf", "numpy.random.beta", "numpy.random.binomial", "numpy.random.bytes", "numpy.random.chisquare", "numpy.random.choice", "numpy.random.dirichlet", "numpy.random.exponential", "numpy.random.f", "numpy.random.gamma", "numpy.random.geometric", "numpy.random.get_state", "numpy.random.gumbel", "numpy.random.hypergeometric", "numpy.random.laplace", "numpy.random.logistic", "numpy.random.lognormal", "numpy.random.logseries", "numpy.random.multinomial", "numpy.random.multivariate_normal", "numpy.random.negative_binomial", "numpy.random.noncentral_chisquare", "numpy.random.noncentral_f", "numpy.random.normal", "numpy.random.pareto", "numpy.random.permutation", "numpy.random.poisson", "numpy.random.power", "numpy.random.rand", "numpy.random.randint", "numpy.random.randn", "numpy.random.random", "numpy.random.random_integers", "numpy.random.random_sample", "numpy.random.ranf", "numpy.random.rayleigh", "numpy.random.sample", "numpy.random.seed", "numpy.random.set_state", "numpy.random.shuffle", "numpy.random.standard_cauchy", "numpy.random.standard_exponential", "numpy.random.standard_gamma", "numpy.random.standard_normal", "numpy.random.standard_t", "numpy.random.triangular", "numpy.random.uniform", "numpy.random.vonmises", "numpy.random.wald", "numpy.random.weibull", "numpy.random.zipf", "Random Generator", "Random sampling (<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">numpy.random</span></code>)", "Legacy Random Generation", "Multithreaded Generation", "What\u2019s New or Different", "Parallel Random Number Generation", "Performance", "Upgrading <code class=\"docutils literal notranslate\"><span class=\"pre\">PCG64</span></code> with <code class=\"docutils literal notranslate\"><span class=\"pre\">PCG64DXSM</span></code>", "Routines", "Array creation routines", "Array manipulation routines", "Binary operations", "String operations", "C-Types foreign function interface (<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">numpy.ctypeslib</span></code>)", "Datetime support functions", "Data type routines", "Mathematical functions with automatic domain", "Floating point error handling", "Discrete Fourier Transform (<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">numpy.fft</span></code>)", "Functional programming", "NumPy-specific help functions", "Input and output", "Linear algebra (<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">numpy.linalg</span></code>)", "Logic functions", "Masked array operations", "Mathematical functions", "Matrix library (<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">numpy.matlib</span></code>)", "Miscellaneous routines", "Padding Arrays", "Polynomials", "Chebyshev Series (<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">numpy.polynomial.chebyshev</span></code>)", "Using the Convenience Classes", "Hermite Series, \u201cPhysicists\u201d (<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">numpy.polynomial.hermite</span></code>)", "HermiteE Series, \u201cProbabilists\u201d (<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">numpy.polynomial.hermite_e</span></code>)", "Laguerre Series (<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">numpy.polynomial.laguerre</span></code>)", "Legendre Series (<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">numpy.polynomial.legendre</span></code>)", "Convenience Classes", "Poly1d", "Power Series (<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">numpy.polynomial.polynomial</span></code>)", "Polyutils", "Set routines", "Sorting, searching, and counting", "Statistics", "Test Support (<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">numpy.testing</span></code>)", "Support for testing overrides (<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">numpy.testing.overrides</span></code>)", "Window functions", "NumPy security", "CPU build options", "How does the CPU dispatcher work?", "CPU/SIMD Optimizations", "&lt;no title&gt;", "NumPy and SWIG", "numpy.i: a SWIG Interface File for NumPy", "Testing the numpy.i Typemaps", "Testing Guidelines", "Typing (<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">numpy.typing</span></code>)", "Universal functions (<code class=\"xref py py-class docutils literal notranslate\"><span class=\"pre\">ufunc</span></code>)", "Release notes", "NumPy 1.10.0 Release Notes", "NumPy 1.10.1 Release Notes", "NumPy 1.10.2 Release Notes", "NumPy 1.10.3 Release Notes", "NumPy 1.10.4 Release Notes", "NumPy 1.11.0 Release Notes", "NumPy 1.11.1 Release Notes", "NumPy 1.11.2 Release Notes", "NumPy 1.11.3 Release Notes", "NumPy 1.12.0 Release Notes", "NumPy 1.12.1 Release Notes", "NumPy 1.13.0 Release Notes", "NumPy 1.13.1 Release Notes", "NumPy 1.13.2 Release Notes", "NumPy 1.13.3 Release Notes", "NumPy 1.14.0 Release Notes", "NumPy 1.14.1 Release Notes", "NumPy 1.14.2 Release Notes", "NumPy 1.14.3 Release Notes", "NumPy 1.14.4 Release Notes", "NumPy 1.14.5 Release Notes", "NumPy 1.14.6 Release Notes", "NumPy 1.15.0 Release Notes", "NumPy 1.15.1 Release Notes", "NumPy 1.15.2 Release Notes", "NumPy 1.15.3 Release Notes", "NumPy 1.15.4 Release Notes", "NumPy 1.16.0 Release Notes", "NumPy 1.16.1 Release Notes", "NumPy 1.16.2 Release Notes", "NumPy 1.16.3 Release Notes", "NumPy 1.16.4 Release Notes", "NumPy 1.16.5 Release Notes", "NumPy 1.16.6 Release Notes", "NumPy 1.17.0 Release Notes", "NumPy 1.17.1 Release Notes", "NumPy 1.17.2 Release Notes", "NumPy 1.17.3 Release Notes", "NumPy 1.17.4 Release Notes", "NumPy 1.17.5 Release Notes", "NumPy 1.18.0 Release Notes", "NumPy 1.18.1 Release Notes", "NumPy 1.18.2 Release Notes", "NumPy 1.18.3 Release Notes", "NumPy 1.18.4 Release Notes", "NumPy 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2473, 2500, 2553, 2573, 2574, 2586, 2595, 2615, 2637, 2641, 2642, 2653, 2654, 2657, 2667], "unalign": [1, 59, 67, 2623, 2656], "uint8": [1, 17, 48, 52, 58, 170, 327, 467, 554, 658, 725, 751, 962, 998, 1073, 1084, 1125, 1172, 1238, 1291, 1360, 1364, 1374, 1440, 1526, 1628, 2010, 2012, 2034, 2286, 2376, 2436, 2483, 2509, 2568, 2603, 2609, 2637, 2641, 2651, 2667, 2673], "uint16": [1, 48, 58, 725, 2357, 2362, 2568, 2609, 2651], "uint32": [1, 48, 52, 58, 61, 261, 418, 1431, 1582, 2091, 2340, 2356, 2360, 2509, 2510, 2568, 2615, 2626, 2651, 2665], "uint64": [1, 48, 58, 61, 430, 460, 554, 1360, 2340, 2351, 2353, 2376, 2509, 2562, 2568, 2572, 2626, 2641, 2659], "data": [1, 3, 15, 17, 18, 21, 23, 30, 31, 34, 36, 44, 46, 48, 49, 50, 51, 54, 58, 62, 63, 65, 66, 68, 69, 71, 72, 73, 75, 83, 91, 92, 93, 94, 95, 96, 98, 101, 102, 103, 105, 111, 112, 113, 114, 115, 117, 118, 122, 126, 132, 147, 152, 154, 157, 160, 168, 170, 180, 187, 195, 198, 210, 222, 232, 233, 242, 243, 252, 259, 260, 261, 265, 268, 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787, 788, 789, 790, 791, 795, 796, 797, 799, 800, 805, 1235, 1651, 1688, 1748, 1805, 1862, 1919, 1975, 2292, 2301, 2364, 2371, 2372, 2374, 2375, 2378, 2379, 2380, 2387, 2388, 2392, 2399, 2404, 2406, 2407, 2409, 2415, 2416, 2419, 2420, 2422, 2423, 2424, 2430, 2431, 2434, 2446, 2451, 2453, 2454, 2456, 2462, 2463, 2466, 2467, 2469, 2470, 2471, 2477, 2478, 2481, 2496, 2501, 2503, 2504, 2523, 2527, 2559, 2590, 2597, 2615, 2620, 2627, 2629, 2637, 2639, 2644, 2645, 2647, 2658, 2661, 2668, 2675, 2680, 2684, 2691, 2692], "deal": [2, 4, 13, 18, 25, 27, 30, 34, 35, 50, 56, 66, 68, 793, 1235, 1651, 2534, 2535, 2536, 2537, 2538, 2539, 2540, 2541, 2543, 2553, 2564, 2565, 2574, 2585, 2590, 2609, 2620, 2628, 2641, 2645, 2646, 2648, 2653, 2661, 2670, 2672, 2677, 2683, 2690, 2692], "reach": [3, 13, 15, 17, 19, 20, 50, 68, 131, 1679, 1739, 1796, 1853, 1910, 1967, 2347, 2384, 2387, 2427, 2430, 2474, 2477, 2553, 2572, 2629, 2661], "want": [3, 4, 6, 7, 9, 13, 15, 16, 17, 18, 19, 20, 21, 28, 33, 37, 45, 50, 51, 54, 56, 57, 59, 63, 67, 74, 180, 337, 603, 731, 774, 971, 1134, 1298, 1381, 1533, 1693, 1753, 1810, 1867, 1924, 1975, 1979, 2041, 2220, 2271, 2347, 2357, 2362, 2369, 2413, 2441, 2460, 2506, 2510, 2511, 2536, 2554, 2557, 2559, 2560, 2561, 2565, 2568, 2578, 2585, 2597, 2615, 2622, 2623, 2624, 2631, 2661, 2663, 2665, 2667, 2668, 2670, 2672, 2673, 2675, 2676, 2678, 2679, 2680, 2681, 2682, 2684, 2685, 2692], "dive": [3, 2553, 2682], "necessari": [3, 4, 13, 15, 16, 17, 18, 19, 20, 21, 28, 29, 35, 37, 51, 55, 56, 59, 65, 66, 67, 71, 72, 73, 105, 106, 119, 126, 131, 157, 233, 390, 427, 435, 438, 440, 447, 453, 454, 585, 619, 625, 627, 632, 653, 654, 748, 760, 797, 965, 998, 1028, 1044, 1047, 1104, 1128, 1172, 1206, 1223, 1238, 1261, 1332, 1336, 1362, 1363, 1415, 1450, 1451, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1566, 1591, 1631, 1686, 1696, 1746, 1755, 1803, 1812, 1860, 1869, 1917, 1926, 2010, 2012, 2013, 2016, 2075, 2171, 2179, 2189, 2215, 2217, 2271, 2281, 2290, 2356, 2510, 2552, 2557, 2559, 2560, 2561, 2563, 2574, 2585, 2597, 2609, 2615, 2619, 2637, 2646, 2664, 2667, 2674, 2675, 2679, 2680, 2681, 2691, 2694], "contributor": [3, 5, 13, 15, 17, 20, 21, 45, 46, 2301, 2562, 2626, 2680], "dai": [3, 13, 21, 49, 62, 145, 146, 147, 148, 149, 310, 726, 2513, 2651, 2667], "These": [3, 5, 9, 12, 13, 15, 17, 19, 20, 22, 33, 39, 44, 48, 50, 51, 52, 55, 58, 59, 60, 62, 64, 65, 67, 68, 69, 73, 88, 142, 243, 296, 400, 446, 451, 580, 586, 587, 609, 634, 707, 766, 770, 1036, 1064, 1079, 1184, 1235, 1266, 1340, 1419, 1437, 1445, 1462, 1570, 1635, 1651, 1665, 1687, 1688, 1690, 1698, 1712, 1713, 1726, 1747, 1748, 1750, 1757, 1769, 1770, 1783, 1804, 1805, 1807, 1814, 1826, 1827, 1840, 1861, 1862, 1864, 1871, 1883, 1884, 1897, 1918, 1919, 1921, 1928, 1940, 1941, 1954, 1974, 1975, 1983, 1995, 1996, 2014, 2079, 2189, 2220, 2260, 2264, 2292, 2300, 2348, 2349, 2350, 2351, 2352, 2383, 2425, 2426, 2472, 2473, 2507, 2510, 2511, 2518, 2534, 2535, 2541, 2552, 2553, 2557, 2559, 2560, 2561, 2563, 2568, 2572, 2578, 2585, 2590, 2597, 2603, 2615, 2619, 2626, 2631, 2637, 2641, 2644, 2646, 2648, 2651, 2662, 2665, 2667, 2670, 2671, 2672, 2675, 2679, 2680, 2681, 2685, 2687, 2690, 2691, 2692, 2694], "close": [3, 5, 15, 17, 20, 21, 33, 35, 56, 58, 59, 63, 64, 94, 106, 109, 111, 130, 168, 178, 325, 335, 436, 586, 588, 589, 598, 666, 727, 793, 803, 804, 806, 807, 809, 960, 969, 985, 1063, 1078, 1122, 1132, 1155, 1232, 1265, 1289, 1297, 1364, 1372, 1380, 1524, 1532, 1591, 1611, 1626, 1690, 1975, 2023, 2032, 2040, 2182, 2184, 2193, 2257, 2299, 2306, 2353, 2383, 2387, 2426, 2430, 2436, 2438, 2450, 2473, 2477, 2483, 2486, 2500, 2510, 2512, 2561, 2562, 2563, 2585, 2616, 2626, 2642, 2646, 2648, 2655, 2673, 2686, 2695], "numpi": [3, 4, 5, 9, 12, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 39, 40, 44, 49, 51, 52, 54, 55, 56, 57, 58, 59, 60, 63, 64, 65, 68, 69, 70, 72, 2300, 2304, 2347, 2348, 2349, 2350, 2351, 2352, 2353, 2354, 2355, 2356, 2357, 2359, 2360, 2361, 2362, 2508, 2509, 2510, 2511, 2512, 2513, 2517, 2521, 2536, 2541, 2553, 2554, 2561, 2562, 2663, 2664, 2666, 2667, 2670, 2671, 2672, 2673, 2674, 2675, 2676, 2678, 2680, 2683, 2685, 2694], "complex": [3, 19, 21, 24, 29, 35, 36, 44, 52, 54, 55, 56, 59, 67, 68, 73, 80, 86, 92, 93, 94, 95, 96, 97, 98, 102, 105, 107, 126, 152, 168, 170, 176, 177, 198, 325, 327, 333, 334, 355, 433, 434, 446, 447, 468, 551, 574, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 603, 604, 607, 613, 614, 615, 617, 620, 621, 622, 624, 625, 627, 628, 631, 633, 634, 647, 650, 651, 656, 659, 664, 692, 717, 721, 723, 728, 729, 736, 737, 738, 739, 750, 786, 787, 788, 789, 797, 798, 800, 806, 807, 808, 809, 960, 962, 967, 968, 1028, 1062, 1070, 1095, 1096, 1100, 1106, 1122, 1125, 1130, 1131, 1152, 1206, 1242, 1261, 1276, 1277, 1280, 1282, 1289, 1291, 1295, 1296, 1313, 1315, 1316, 1359, 1360, 1372, 1374, 1378, 1379, 1395, 1438, 1440, 1441, 1447, 1459, 1461, 1524, 1526, 1530, 1531, 1546, 1624, 1630, 1675, 1689, 1702, 1704, 1708, 1709, 1710, 1735, 1749, 1759, 1761, 1765, 1766, 1767, 1792, 1806, 1816, 1818, 1822, 1823, 1824, 1849, 1863, 1873, 1875, 1879, 1880, 1881, 1906, 1920, 1930, 1932, 1936, 1937, 1938, 1963, 1976, 1985, 1987, 1992, 1993, 1994, 1998, 1999, 2000, 2001, 2002, 2008, 2022, 2023, 2032, 2034, 2038, 2039, 2055, 2172, 2179, 2181, 2183, 2187, 2189, 2201, 2206, 2207, 2211, 2215, 2268, 2281, 2290, 2291, 2509, 2511, 2513, 2521, 2523, 2532, 2551, 2562, 2565, 2569, 2578, 2579, 2588, 2590, 2597, 2609, 2610, 2615, 2619, 2635, 2637, 2644, 2650, 2652, 2653, 2654, 2655, 2657, 2658, 2659, 2663, 2667, 2670, 2672, 2673, 2677, 2683, 2685, 2691, 2692], "base": [3, 4, 5, 14, 17, 19, 20, 26, 27, 33, 39, 41, 44, 48, 50, 51, 52, 55, 56, 58, 59, 61, 62, 64, 67, 68, 70, 71, 72, 73, 76, 105, 113, 114, 120, 121, 124, 125, 142, 144, 160, 168, 180, 195, 243, 261, 317, 325, 337, 352, 400, 418, 436, 441, 456, 554, 583, 586, 592, 593, 594, 598, 607, 634, 638, 647, 666, 692, 698, 705, 707, 718, 732, 747, 759, 761, 775, 793, 800, 805, 806, 807, 809, 810, 811, 816, 817, 960, 971, 980, 983, 1044, 1046, 1048, 1049, 1078, 1122, 1134, 1144, 1146, 1149, 1184, 1232, 1236, 1265, 1277, 1289, 1298, 1308, 1340, 1372, 1381, 1391, 1419, 1431, 1462, 1524, 1533, 1543, 1570, 1582, 1591, 1626, 1631, 1633, 1675, 1687, 1698, 1712, 1713, 1735, 1747, 1757, 1769, 1770, 1792, 1804, 1814, 1826, 1827, 1849, 1861, 1871, 1883, 1884, 1906, 1918, 1928, 1940, 1941, 1963, 1974, 1983, 1995, 1996, 2004, 2008, 2015, 2016, 2024, 2032, 2041, 2052, 2079, 2091, 2098, 2169, 2195, 2250, 2299, 2300, 2305, 2307, 2315, 2320, 2325, 2330, 2338, 2347, 2353, 2401, 2407, 2448, 2454, 2498, 2504, 2510, 2513, 2517, 2521, 2536, 2541, 2544, 2551, 2552, 2553, 2554, 2558, 2559, 2560, 2561, 2562, 2568, 2570, 2572, 2578, 2585, 2587, 2594, 2600, 2605, 2615, 2619, 2620, 2621, 2629, 2630, 2631, 2634, 2644, 2645, 2647, 2649, 2651, 2654, 2664, 2665, 2667, 2668, 2671, 2674, 2678, 2679, 2680, 2683, 2685, 2691, 2692, 2694, 2695], "issu": [3, 13, 15, 17, 20, 21, 29, 36, 39, 40, 45, 48, 56, 59, 63, 69, 74, 79, 91, 460, 461, 466, 620, 621, 622, 759, 798, 1028, 1039, 1206, 1235, 1261, 1362, 1453, 1459, 1461, 1651, 1688, 1748, 1805, 1862, 1919, 1997, 2215, 2290, 2306, 2401, 2448, 2498, 2551, 2554, 2559, 2562, 2563, 2568, 2569, 2570, 2572, 2574, 2578, 2579, 2581, 2582, 2585, 2590, 2591, 2592, 2593, 2594, 2609, 2615, 2617, 2619, 2621, 2626, 2639, 2641, 2644, 2657, 2668, 2672, 2675, 2678, 2686, 2690, 2694], "quirk": [3, 2557], "happi": [3, 4, 13, 15, 21, 74, 2551], "stuck": 3, "appreci": [3, 2578, 2651], "improv": [3, 13, 15, 17, 19, 21, 45, 61, 62, 63, 65, 446, 586, 661, 707, 1235, 1651, 1702, 1759, 1816, 1873, 1930, 1985, 2217, 2347, 2354, 2506, 2507, 2509, 2511, 2552, 2562, 2565, 2569, 2570, 2576, 2577, 2579, 2580, 2582, 2586, 2598, 2599, 2600, 2601, 2602, 2610, 2612, 2614, 2634, 2635, 2643, 2648, 2650, 2651, 2655, 2671, 2679, 2680], "suggest": [3, 5, 13, 15, 21, 58, 68, 245, 402, 466, 707, 760, 1010, 1188, 1342, 1421, 1572, 2081, 2557, 2567, 2661], "workflow": [3, 9, 12, 17, 20, 27, 28, 2624, 2642], "toolchain": [3, 20, 24, 39, 41, 42, 2567, 2568, 2645], "shown": [3, 7, 15, 33, 58, 428, 435, 586, 796, 998, 1029, 1052, 1172, 1207, 1238, 2012, 2238, 2306, 2512, 2552, 2559, 2572, 2578, 2619, 2663, 2665, 2671, 2679, 2680, 2686], "But": [3, 15, 18, 44, 59, 62, 70, 131, 427, 575, 596, 730, 783, 2010, 2347, 2510, 2512, 2518, 2536, 2553, 2557, 2563, 2597, 2615, 2661, 2668, 2672, 2679, 2680, 2682, 2685, 2690, 2691], "leak": [3, 5, 13, 59, 804, 2565, 2573, 2576, 2577, 2582, 2584, 2587, 2588, 2595, 2598, 2612, 2614, 2617, 2620, 2635, 2636, 2638, 2643, 2644, 2652, 2653, 2655, 2679, 2680, 2690], "particularli": [3, 21, 24, 56, 586, 805, 2579, 2590, 2591, 2592, 2597, 2615, 2631, 2651, 2665, 2680, 2690, 2695], "subtl": [3, 2568, 2582, 2657], "difficult": [3, 13, 19, 33, 34, 50, 67, 1004, 1179, 2510, 2578, 2585, 2648, 2663, 2678, 2679, 2680, 2681, 2690, 2695], "narrow": [3, 35, 747, 2666], "down": [3, 9, 13, 102, 645, 646, 2271, 2292, 2375, 2510, 2557, 2590, 2591, 2597, 2644, 2680], "howev": [3, 4, 5, 13, 17, 23, 24, 27, 28, 29, 33, 35, 36, 38, 39, 40, 42, 46, 48, 50, 51, 52, 54, 55, 56, 58, 59, 63, 66, 67, 68, 73, 82, 87, 195, 211, 233, 268, 352, 368, 390, 425, 590, 591, 592, 593, 634, 705, 718, 723, 760, 793, 797, 804, 972, 973, 979, 980, 1028, 1068, 1069, 1135, 1136, 1145, 1146, 1159, 1206, 1261, 1308, 1319, 1336, 1357, 1358, 1362, 1391, 1398, 1415, 1436, 1438, 1439, 1459, 1461, 1543, 1549, 1566, 1587, 1624, 2010, 2012, 2017, 2020, 2052, 2058, 2075, 2096, 2181, 2215, 2217, 2219, 2250, 2281, 2290, 2292, 2300, 2354, 2381, 2425, 2472, 2507, 2510, 2511, 2512, 2527, 2534, 2536, 2551, 2553, 2557, 2558, 2559, 2560, 2568, 2572, 2574, 2578, 2582, 2585, 2590, 2597, 2603, 2609, 2631, 2641, 2644, 2647, 2654, 2657, 2661, 2663, 2664, 2667, 2668, 2670, 2672, 2674, 2675, 2676, 2678, 2679, 2680, 2686, 2691, 2692, 2694], "track": [3, 19, 20, 21, 27, 33, 59, 62, 66, 68, 74, 1591, 2579, 2590, 2615, 2631, 2655, 2657, 2670, 2672], "easili": [3, 18, 19, 50, 61, 71, 73, 707, 2250, 2306, 2536, 2590, 2646, 2654, 2661, 2664, 2673, 2675, 2678, 2679, 2680, 2681], "cover": [3, 15, 17, 18, 26, 56, 64, 102, 246, 403, 522, 586, 1263, 1343, 1422, 1573, 1632, 1665, 1726, 1783, 1840, 1897, 1954, 2082, 2206, 2260, 2264, 2296, 2405, 2452, 2502, 2512, 2553, 2557, 2561, 2619, 2661, 2665, 2666, 2668, 2678, 2679, 2680], "write": [3, 4, 6, 7, 16, 17, 19, 20, 21, 22, 28, 33, 37, 44, 50, 54, 56, 59, 66, 67, 68, 73, 78, 142, 243, 260, 400, 417, 448, 462, 466, 469, 607, 632, 760, 763, 765, 766, 767, 768, 770, 771, 772, 773, 774, 775, 794, 817, 1184, 1340, 1351, 1364, 1394, 1419, 1430, 1437, 1570, 1581, 1591, 2079, 2090, 2170, 2194, 2205, 2208, 2221, 2222, 2362, 2548, 2552, 2557, 2558, 2560, 2562, 2568, 2572, 2574, 2578, 2585, 2594, 2603, 2621, 2626, 2631, 2637, 2641, 2646, 2647, 2651, 2653, 2654, 2661, 2663, 2665, 2667, 2668, 2671, 2676, 2677, 2678, 2680, 2687, 2690, 2691, 2692, 2695], "short": [3, 5, 17, 20, 21, 23, 44, 52, 54, 55, 58, 60, 62, 64, 68, 151, 195, 259, 352, 416, 760, 980, 1146, 1308, 1350, 1391, 1429, 1543, 1580, 2052, 2089, 2204, 2267, 2268, 2506, 2557, 2558, 2561, 2572, 2578, 2585, 2608, 2614, 2615, 2626, 2663, 2668, 2673, 2674, 2692], "complic": [3, 5, 18, 19, 23, 39, 44, 49, 54, 211, 368, 586, 1159, 1319, 1398, 1549, 2058, 2362, 2557, 2561, 2562, 2572, 2592, 2641, 2654, 2661, 2667, 2672, 2680, 2681], "simpler": [3, 2181, 2536, 2590, 2670, 2671, 2672, 2679, 2680, 2695], "becaus": [3, 7, 13, 15, 18, 19, 20, 21, 23, 29, 33, 35, 36, 37, 44, 48, 50, 51, 52, 54, 55, 56, 58, 59, 63, 64, 66, 67, 68, 69, 70, 71, 74, 82, 87, 91, 151, 210, 295, 311, 367, 427, 447, 539, 550, 596, 604, 606, 619, 625, 627, 731, 732, 786, 793, 797, 798, 988, 1039, 1064, 1158, 1318, 1364, 1397, 1462, 1548, 1687, 1698, 1712, 1713, 1747, 1757, 1769, 1770, 1804, 1814, 1826, 1827, 1861, 1871, 1883, 1884, 1918, 1928, 1940, 1941, 1974, 1983, 1995, 1996, 2057, 2097, 2173, 2181, 2190, 2240, 2269, 2272, 2274, 2288, 2375, 2383, 2384, 2387, 2391, 2401, 2405, 2426, 2430, 2433, 2448, 2452, 2473, 2477, 2480, 2498, 2502, 2509, 2523, 2527, 2536, 2557, 2559, 2561, 2563, 2565, 2568, 2578, 2585, 2590, 2609, 2615, 2619, 2623, 2637, 2641, 2644, 2646, 2647, 2651, 2654, 2655, 2657, 2661, 2663, 2664, 2667, 2668, 2671, 2672, 2675, 2676, 2678, 2679, 2680, 2681, 2685, 2691, 2692], "trigger": [3, 5, 17, 20, 56, 67, 106, 664, 2189, 2194, 2240, 2552, 2559, 2586, 2603, 2616, 2628, 2654, 2667, 2671, 2672], "never": [3, 13, 50, 55, 58, 59, 62, 67, 68, 243, 400, 632, 692, 803, 816, 1184, 1340, 1419, 1570, 2079, 2288, 2354, 2512, 2551, 2562, 2568, 2574, 2585, 2597, 2603, 2609, 2619, 2626, 2631, 2637, 2641, 2654, 2657, 2667, 2672, 2679], "read": [3, 4, 5, 7, 9, 11, 13, 17, 18, 19, 20, 32, 33, 34, 35, 36, 37, 50, 54, 56, 59, 63, 66, 67, 68, 73, 78, 185, 188, 195, 342, 345, 352, 441, 443, 445, 466, 571, 657, 658, 659, 661, 663, 664, 691, 755, 760, 765, 766, 767, 768, 769, 804, 805, 974, 976, 980, 1000, 1084, 1124, 1138, 1141, 1146, 1174, 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2674, 2680, 2681, 2690, 2691, 2692], "add_np": 3, "doctest_namespac": 3, "env_setup": 3, "monkeypatch": [3, 2568], "setenv": 3, "pythonhashse": 3, "conftest": [3, 2594, 2640], "version": [3, 4, 5, 7, 10, 13, 16, 17, 18, 21, 24, 27, 28, 29, 33, 34, 35, 37, 39, 40, 45, 49, 50, 51, 52, 56, 60, 61, 62, 63, 64, 65, 67, 68, 69, 71, 73, 74, 82, 83, 86, 87, 89, 90, 91, 99, 100, 101, 102, 105, 106, 107, 112, 113, 115, 117, 122, 124, 125, 126, 131, 137, 142, 143, 144, 145, 146, 147, 152, 153, 166, 168, 185, 188, 246, 258, 259, 260, 262, 268, 313, 323, 325, 342, 345, 403, 415, 416, 417, 419, 425, 428, 432, 436, 438, 446, 447, 450, 451, 452, 457, 459, 462, 463, 464, 466, 467, 468, 476, 483, 540, 550, 555, 578, 586, 597, 598, 600, 602, 608, 609, 612, 614, 615, 617, 619, 620, 621, 622, 624, 625, 626, 627, 628, 629, 631, 632, 633, 643, 644, 647, 650, 651, 658, 659, 660, 661, 663, 664, 665, 666, 691, 692, 699, 704, 705, 707, 713, 718, 719, 722, 723, 724, 726, 727, 731, 732, 735, 758, 764, 765, 766, 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2383, 2384, 2385, 2386, 2387, 2388, 2391, 2392, 2393, 2394, 2397, 2398, 2399, 2400, 2401, 2402, 2403, 2404, 2405, 2406, 2407, 2408, 2409, 2411, 2412, 2413, 2414, 2415, 2416, 2417, 2419, 2420, 2421, 2422, 2423, 2424, 2425, 2426, 2427, 2428, 2429, 2430, 2431, 2433, 2434, 2435, 2436, 2437, 2438, 2439, 2440, 2444, 2445, 2446, 2447, 2448, 2449, 2450, 2451, 2452, 2453, 2454, 2455, 2456, 2458, 2459, 2460, 2461, 2462, 2463, 2464, 2466, 2467, 2468, 2469, 2470, 2471, 2472, 2473, 2474, 2475, 2476, 2477, 2478, 2480, 2481, 2482, 2483, 2484, 2486, 2487, 2489, 2494, 2495, 2496, 2497, 2498, 2499, 2500, 2501, 2502, 2503, 2504, 2507, 2508, 2510, 2511, 2512, 2513, 2521, 2523, 2559, 2561, 2562, 2563, 2572, 2578, 2579, 2580, 2585, 2590, 2597, 2610, 2621, 2641, 2645, 2646, 2648, 2654, 2655, 2661, 2663, 2667, 2668, 2670, 2671, 2672, 2678, 2679, 2680, 2681, 2683, 2685, 2691, 2692, 2694, 2695], "captur": [3, 2194, 2240, 2644, 2661], "design": [3, 13, 17, 35, 36, 54, 59, 67, 74, 125, 130, 760, 793, 1997, 2097, 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2691, 2695], "rememb": [4, 5, 19, 21, 68, 2181, 2534, 2661, 2667, 2670, 2672, 2678, 2679, 2680, 2683, 2691], "amount": [4, 39, 51, 56, 718, 732, 755, 2347, 2506, 2510, 2512, 2551, 2557, 2663, 2678, 2679, 2680], "skip": [4, 19, 26, 27, 33, 36, 37, 67, 68, 198, 252, 355, 409, 466, 483, 691, 758, 775, 805, 1015, 1152, 1193, 1227, 1316, 1346, 1395, 1425, 1462, 1546, 1576, 1687, 1698, 1712, 1713, 1747, 1757, 1769, 1770, 1804, 1814, 1826, 1827, 1861, 1871, 1883, 1884, 1918, 1928, 1940, 1941, 1974, 1983, 1995, 1996, 2055, 2085, 2548, 2552, 2562, 2568, 2615, 2616, 2629, 2630, 2631, 2633, 2643, 2644, 2651, 2654, 2669, 2675, 2680, 2684, 2692], "enough": [4, 13, 18, 19, 38, 52, 58, 59, 64, 67, 68, 152, 168, 325, 747, 960, 1122, 1276, 1289, 1372, 1524, 2011, 2032, 2206, 2510, 2512, 2561, 2572, 2574, 2578, 2615, 2626, 2653, 2657, 2663, 2668, 2670, 2671, 2674, 2680, 2682, 2692], "select": [4, 18, 19, 20, 44, 45, 50, 51, 62, 64, 67, 74, 101, 175, 198, 211, 332, 355, 368, 431, 438, 705, 707, 718, 727, 732, 794, 965, 990, 992, 1058, 1109, 1128, 1152, 1159, 1162, 1164, 1169, 1220, 1224, 1251, 1294, 1316, 1319, 1328, 1344, 1358, 1377, 1395, 1398, 1407, 1439, 1529, 1546, 1549, 1558, 1591, 1630, 1632, 2010, 2037, 2055, 2058, 2067, 2206, 2213, 2219, 2257, 2279, 2304, 2338, 2368, 2375, 2382, 2383, 2407, 2412, 2420, 2454, 2459, 2467, 2504, 2509, 2562, 2563, 2572, 2578, 2585, 2603, 2615, 2644, 2654, 2656, 2661, 2667, 2670, 2671, 2674, 2675, 2680, 2685, 2692, 2695], "besid": [4, 19, 50, 469, 2505, 2507, 2626, 2661, 2672, 2674, 2679], "variou": [4, 13, 17, 26, 31, 35, 37, 45, 48, 52, 54, 62, 64, 441, 770, 786, 795, 1630, 2200, 2204, 2206, 2232, 2353, 2506, 2513, 2523, 2534, 2536, 2541, 2559, 2565, 2566, 2568, 2576, 2577, 2579, 2596, 2598, 2603, 2606, 2626, 2627, 2628, 2637, 2643, 2645, 2651, 2657, 2661, 2665, 2667, 2668, 2671, 2672, 2674, 2692, 2695], "insid": [4, 15, 18, 23, 36, 37, 50, 56, 62, 67, 71, 73, 211, 368, 533, 634, 1159, 1211, 1219, 1319, 1398, 1549, 2017, 2058, 2184, 2240, 2250, 2252, 2253, 2362, 2512, 2548, 2582, 2600, 2615, 2661, 2667, 2673, 2679, 2680, 2691, 2694], "interpret": [4, 15, 18, 19, 23, 24, 33, 44, 49, 52, 54, 55, 56, 57, 58, 59, 67, 68, 106, 112, 113, 114, 118, 144, 210, 243, 271, 277, 301, 367, 400, 436, 441, 554, 568, 619, 625, 627, 658, 664, 698, 708, 746, 754, 760, 762, 805, 988, 995, 999, 1045, 1046, 1058, 1084, 1104, 1158, 1168, 1173, 1184, 1228, 1266, 1267, 1277, 1318, 1340, 1364, 1397, 1419, 1438, 1462, 1548, 1570, 1620, 1624, 1649, 1652, 1687, 1698, 1712, 1713, 1747, 1757, 1769, 1770, 1804, 1814, 1826, 1827, 1861, 1871, 1883, 1884, 1918, 1928, 1940, 1941, 1974, 1983, 1995, 1996, 2013, 2017, 2024, 2057, 2079, 2176, 2189, 2195, 2305, 2505, 2527, 2551, 2557, 2559, 2560, 2562, 2572, 2585, 2590, 2597, 2631, 2657, 2661, 2663, 2667, 2670, 2671, 2674, 2676, 2681, 2691, 2692, 2695], "verbos": [4, 37, 481, 586, 2225, 2226, 2227, 2228, 2230, 2231, 2233, 2559, 2562, 2568, 2603], "addition": [4, 5, 13, 15, 24, 25, 38, 39, 51, 56, 261, 418, 586, 1431, 1582, 2091, 2250, 2505, 2510, 2563, 2572, 2574, 2578, 2585, 2590, 2597, 2641, 2666, 2691, 2692], "success": [4, 5, 20, 37, 44, 59, 67, 68, 69, 73, 114, 2280, 2292, 2364, 2373, 2384, 2409, 2417, 2427, 2442, 2456, 2464, 2474, 2492, 2510, 2552, 2557, 2572, 2585, 2641, 2646, 2667, 2671, 2678, 2679, 2681], "4686": 4, "362": 4, "xfail": [4, 2559], "5": [4, 13, 23, 24, 27, 28, 29, 33, 35, 36, 44, 50, 51, 54, 55, 56, 57, 58, 59, 65, 69, 70, 81, 82, 87, 88, 89, 90, 91, 98, 99, 103, 110, 118, 119, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 151, 154, 160, 168, 178, 196, 220, 243, 245, 252, 268, 310, 317, 325, 335, 353, 377, 400, 402, 409, 425, 427, 428, 431, 432, 435, 438, 441, 443, 445, 447, 450, 451, 452, 453, 454, 459, 462, 463, 464, 466, 467, 468, 496, 539, 549, 550, 551, 552, 585, 586, 587, 598, 611, 614, 615, 616, 618, 626, 629, 630, 632, 638, 639, 641, 644, 645, 646, 647, 648, 649, 650, 651, 652, 656, 658, 661, 667, 691, 692, 698, 699, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 717, 718, 719, 721, 722, 723, 728, 731, 738, 740, 746, 747, 748, 750, 751, 754, 755, 756, 775, 783, 787, 789, 790, 794, 795, 799, 800, 803, 804, 805, 812, 813, 814, 815, 816, 949, 957, 960, 965, 966, 969, 979, 990, 991, 993, 995, 998, 999, 1000, 1010, 1012, 1015, 1016, 1021, 1022, 1023, 1028, 1031, 1036, 1037, 1039, 1040, 1044, 1045, 1046, 1047, 1050, 1052, 1058, 1061, 1063, 1067, 1073, 1074, 1078, 1080, 1082, 1083, 1084, 1090, 1091, 1094, 1095, 1096, 1118, 1122, 1128, 1129, 1132, 1145, 1154, 1162, 1163, 1165, 1168, 1172, 1173, 1174, 1176, 1184, 1188, 1190, 1193, 1194, 1199, 1200, 1201, 1206, 1212, 1220, 1222, 1223, 1226, 1228, 1231, 1232, 1233, 1234, 1235, 1236, 1238, 1239, 1243, 1244, 1247, 1248, 1252, 1254, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1273, 1274, 1276, 1278, 1279, 1280, 1281, 1283, 1285, 1286, 1289, 1297, 1309, 1311, 1312, 1313, 1314, 1321, 1322, 1323, 1324, 1329, 1330, 1340, 1342, 1345, 1346, 1352, 1356, 1357, 1358, 1359, 1361, 1362, 1363, 1364, 1372, 1380, 1392, 1403, 1419, 1421, 1425, 1436, 1437, 1438, 1439, 1441, 1443, 1444, 1445, 1453, 1454, 1456, 1458, 1459, 1524, 1532, 1544, 1554, 1570, 1572, 1576, 1587, 1591, 1618, 1620, 1624, 1625, 1626, 1627, 1629, 1630, 1631, 1632, 1635, 1648, 1650, 1651, 1652, 1653, 1661, 1662, 1665, 1674, 1688, 1689, 1693, 1694, 1696, 1697, 1699, 1700, 1701, 1702, 1704, 1722, 1723, 1726, 1734, 1742, 1745, 1753, 1754, 1756, 1761, 1769, 1771, 1779, 1780, 1783, 1791, 1810, 1811, 1818, 1836, 1837, 1840, 1848, 1867, 1868, 1875, 1876, 1879, 1893, 1894, 1897, 1905, 1913, 1919, 1932, 1950, 1951, 1954, 1962, 1975, 1982, 1987, 1998, 1999, 2000, 2002, 2006, 2008, 2010, 2012, 2013, 2015, 2016, 2017, 2019, 2020, 2021, 2022, 2023, 2032, 2040, 2053, 2063, 2079, 2081, 2085, 2096, 2097, 2167, 2170, 2173, 2174, 2175, 2176, 2178, 2179, 2180, 2182, 2183, 2184, 2187, 2189, 2190, 2192, 2195, 2196, 2197, 2198, 2201, 2203, 2204, 2207, 2210, 2214, 2215, 2217, 2218, 2219, 2223, 2225, 2226, 2228, 2230, 2231, 2233, 2254, 2256, 2257, 2258, 2259, 2260, 2261, 2263, 2264, 2265, 2266, 2267, 2271, 2272, 2278, 2279, 2280, 2287, 2288, 2289, 2290, 2291, 2294, 2295, 2296, 2297, 2298, 2299, 2305, 2306, 2354, 2362, 2364, 2367, 2368, 2369, 2370, 2376, 2379, 2380, 2381, 2382, 2383, 2384, 2387, 2389, 2390, 2391, 2392, 2393, 2395, 2400, 2401, 2406, 2407, 2409, 2411, 2412, 2413, 2414, 2423, 2424, 2425, 2426, 2427, 2430, 2432, 2433, 2434, 2436, 2437, 2438, 2439, 2443, 2447, 2448, 2450, 2453, 2454, 2456, 2458, 2459, 2460, 2461, 2470, 2471, 2472, 2473, 2474, 2477, 2479, 2480, 2481, 2483, 2484, 2486, 2487, 2493, 2497, 2498, 2500, 2503, 2504, 2505, 2506, 2508, 2509, 2511, 2534, 2536, 2554, 2557, 2561, 2562, 2564, 2565, 2568, 2569, 2570, 2571, 2572, 2574, 2579, 2580, 2584, 2585, 2590, 2592, 2594, 2596, 2597, 2598, 2599, 2600, 2601, 2603, 2604, 2605, 2606, 2607, 2609, 2615, 2619, 2625, 2641, 2642, 2644, 2645, 2646, 2648, 2651, 2652, 2653, 2654, 2658, 2661, 2663, 2664, 2666, 2667, 2668, 2670, 2671, 2672, 2673, 2674, 2675, 2679, 2680, 2681, 2683, 2685, 2690, 2691, 2692], "213": [4, 2536], "99": [4, 283, 585, 723, 808, 1219, 2014, 2508, 2661, 2683, 2684, 2692], "second": [4, 15, 18, 19, 21, 23, 31, 33, 36, 44, 51, 52, 54, 55, 56, 59, 65, 68, 69, 71, 73, 97, 101, 102, 122, 131, 150, 151, 246, 403, 427, 428, 435, 452, 456, 466, 551, 553, 554, 587, 607, 615, 616, 617, 618, 621, 622, 625, 628, 630, 637, 647, 699, 705, 706, 707, 709, 710, 718, 721, 730, 733, 736, 737, 742, 744, 748, 751, 754, 755, 804, 959, 1012, 1021, 1023, 1042, 1050, 1052, 1075, 1090, 1091, 1093, 1095, 1096, 1121, 1169, 1190, 1199, 1201, 1233, 1234, 1236, 1243, 1260, 1262, 1266, 1274, 1276, 1328, 1343, 1358, 1407, 1422, 1437, 1439, 1462, 1558, 1573, 1627, 1630, 1635, 1672, 1687, 1691, 1692, 1693, 1698, 1701, 1712, 1713, 1733, 1747, 1751, 1752, 1753, 1757, 1769, 1770, 1790, 1804, 1808, 1809, 1810, 1814, 1826, 1827, 1847, 1861, 1865, 1866, 1867, 1871, 1883, 1884, 1904, 1918, 1922, 1923, 1924, 1928, 1940, 1941, 1961, 1974, 1977, 1978, 1979, 1983, 1995, 1996, 2001, 2008, 2011, 2017, 2067, 2082, 2178, 2180, 2194, 2206, 2218, 2223, 2231, 2243, 2250, 2255, 2272, 2278, 2289, 2291, 2295, 2306, 2349, 2350, 2351, 2381, 2383, 2425, 2426, 2472, 2473, 2527, 2536, 2555, 2559, 2561, 2562, 2572, 2574, 2578, 2585, 2590, 2609, 2615, 2641, 2646, 2647, 2651, 2658, 2661, 2663, 2665, 2667, 2668, 2670, 2671, 2672, 2678, 2679, 2680, 2681, 2683, 2691, 2692], "Or": [4, 5, 6, 58, 699, 2010, 2223, 2250, 2257, 2292, 2557, 2559, 2661, 2667, 2683], "plugin": [4, 2301, 2562, 2568], "strang": [4, 59, 784, 786, 787, 796, 799, 1634, 2553, 2603, 2692], "side": [4, 48, 49, 55, 59, 150, 241, 398, 468, 484, 653, 654, 670, 699, 786, 788, 1006, 1021, 1023, 1181, 1199, 1201, 1338, 1417, 1568, 2077, 2187, 2381, 2384, 2425, 2438, 2472, 2486, 2572, 2574, 2590, 2597, 2607, 2615, 2647, 2671, 2680], "effect": [4, 8, 13, 15, 33, 35, 36, 48, 58, 59, 67, 106, 435, 446, 485, 586, 587, 647, 650, 651, 653, 654, 718, 732, 793, 1021, 1023, 1064, 1104, 1199, 1201, 1219, 1235, 1359, 1364, 1437, 1441, 1651, 2000, 2008, 2285, 2286, 2288, 2354, 2401, 2448, 2498, 2505, 2507, 2512, 2557, 2563, 2565, 2568, 2572, 2574, 2585, 2590, 2603, 2607, 2615, 2619, 2626, 2631, 2646, 2647, 2654, 2655, 2657, 2667, 2671, 2672, 2680], "whole": [4, 13, 18, 56, 67, 73, 1057, 1059, 1074, 1109, 1139, 2251, 2260, 2264, 2269, 2348, 2510, 2512, 2561, 2597, 2615, 2638], "path_to_testfil": 4, "test_fil": 4, "tox": 4, "py39": 4, "guidelin": [4, 39, 45, 50, 2513, 2551, 2610, 2615], "perform": [4, 18, 19, 36, 37, 44, 50, 51, 55, 56, 57, 59, 62, 63, 65, 67, 68, 73, 82, 87, 101, 102, 112, 113, 114, 122, 126, 270, 275, 278, 279, 291, 292, 298, 427, 428, 447, 467, 551, 586, 615, 617, 620, 621, 622, 627, 631, 644, 661, 707, 718, 724, 732, 754, 783, 794, 800, 965, 970, 1028, 1044, 1045, 1046, 1052, 1058, 1065, 1073, 1074, 1081, 1109, 1128, 1133, 1139, 1206, 1218, 1229, 1230, 1244, 1261, 1284, 1362, 1604, 1630, 1672, 1733, 1790, 1847, 1904, 1961, 2010, 2012, 2192, 2206, 2215, 2217, 2219, 2248, 2272, 2279, 2280, 2282, 2284, 2285, 2290, 2291, 2292, 2301, 2306, 2312, 2318, 2351, 2354, 2362, 2368, 2378, 2382, 2397, 2422, 2444, 2469, 2494, 2506, 2509, 2512, 2513, 2517, 2541, 2552, 2553, 2554, 2557, 2558, 2559, 2560, 2561, 2562, 2563, 2565, 2568, 2576, 2577, 2590, 2605, 2609, 2644, 2648, 2651, 2653, 2661, 2664, 2665, 2668, 2670, 2671, 2672, 2674, 2675, 2678, 2679, 2680, 2681, 2690, 2691, 2692, 2695], "ad": [4, 5, 7, 17, 19, 20, 21, 24, 30, 34, 36, 39, 44, 48, 51, 56, 59, 61, 62, 64, 65, 67, 68, 71, 81, 83, 102, 125, 133, 246, 403, 575, 586, 587, 614, 615, 617, 619, 620, 621, 622, 624, 625, 626, 627, 628, 629, 631, 727, 773, 785, 797, 798, 805, 810, 811, 1251, 1343, 1422, 1573, 1635, 1665, 1693, 1726, 1753, 1783, 1810, 1840, 1867, 1897, 1924, 1954, 1975, 1979, 2082, 2176, 2206, 2213, 2217, 2249, 2250, 2252, 2253, 2256, 2288, 2381, 2388, 2431, 2478, 2509, 2510, 2512, 2513, 2553, 2559, 2562, 2563, 2568, 2591, 2596, 2602, 2605, 2609, 2610, 2628, 2629, 2639, 2643, 2644, 2645, 2646, 2647, 2648, 2650, 2651, 2654, 2663, 2665, 2667, 2671, 2677, 2679, 2680, 2681, 2691, 2694], "linter_requir": 4, "linter": [4, 5], "script": [4, 20, 31, 39, 40, 71, 72, 2548, 2556, 2557, 2562, 2565, 2567, 2644, 2651, 2654, 2675, 2680, 2690, 2691], "messag": [4, 17, 21, 24, 28, 37, 56, 59, 67, 460, 469, 511, 539, 540, 547, 602, 2194, 2225, 2226, 2227, 2228, 2230, 2231, 2233, 2237, 2243, 2248, 2252, 2253, 2559, 2562, 2572, 2579, 2591, 2596, 2597, 2598, 2607, 2615, 2624, 2631, 2637, 2694], "test_scalarmath": 4, "34": [4, 128, 442, 617, 1988, 2263, 2511, 2536, 2609, 2626, 2667, 2683, 2692], "e303": 4, "blank": [4, 5, 15], "advis": [4, 46, 50, 586, 774, 1590, 2217, 2230, 2507, 2551, 2626, 2691], "push": [4, 7, 11, 17, 20, 21, 2585], "remot": [4, 5, 7, 11, 17, 75, 76, 77, 2670], "pipelin": [4, 2588, 2590, 2678], "style": [4, 5, 17, 19, 21, 28, 33, 44, 50, 52, 54, 55, 58, 59, 68, 73, 106, 112, 113, 114, 195, 197, 352, 354, 586, 597, 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2678, 2680, 2692, 2694], "uncommit": 4, "xdf": [4, 2675, 2694], "discard": [4, 5, 35, 446, 603, 628, 691, 1064, 1661, 1680, 1722, 1740, 1779, 1797, 1836, 1854, 1893, 1911, 1950, 1968, 2234, 2250, 2267, 2518, 2597, 2603, 2647, 2655, 2671], "go": [4, 5, 7, 13, 15, 17, 18, 20, 21, 37, 56, 61, 68, 817, 2190, 2534, 2552, 2559, 2572, 2578, 2590, 2667, 2668, 2672, 2679, 2686, 2691], "checkout": [4, 6, 11, 15, 17, 20, 2636, 2642, 2644], "reset": [4, 5, 19, 55, 56, 57, 59, 62, 67, 276, 600, 983, 1029, 1144, 1149, 1207, 1591, 2189, 2190, 2193, 2240, 2305, 2320, 2325, 2330, 2348, 2355, 2362, 2507, 2563, 2655, 2657, 2671, 2678], "hard": [4, 5, 984, 1011, 1044, 1089, 1153, 1189, 1249, 2306, 2557, 2559, 2563, 2641, 2665, 2680, 2690], "verifi": [4, 5, 33, 59, 783, 787, 1364, 1649, 2226, 2228, 2230, 2318, 2387, 2430, 2477, 2518, 2552, 2557, 2558, 2617, 2624, 2673, 2687], "version_info": 4, "end": [4, 5, 13, 15, 18, 19, 21, 23, 24, 25, 27, 28, 29, 31, 33, 34, 35, 36, 37, 39, 40, 50, 54, 56, 59, 61, 62, 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2654, 2668, 2674], "experi": [4, 66, 2300, 2373, 2381, 2386, 2417, 2425, 2429, 2464, 2472, 2476, 2510, 2578, 2626, 2631, 2641, 2680], "encourag": [4, 13, 21, 50, 2354, 2626, 2679], "advanc": [4, 12, 17, 30, 34, 44, 56, 59, 67, 68, 638, 1618, 2347, 2348, 2349, 2350, 2351, 2353, 2354, 2506, 2510, 2512, 2552, 2560, 2561, 2562, 2598, 2615, 2622, 2657, 2664, 2665, 2673, 2674, 2678, 2679, 2683, 2684, 2694, 2695], "invok": [4, 13, 37, 38, 50, 55, 65, 268, 425, 1357, 1436, 1587, 2096, 2236, 2237, 2239, 2306, 2557, 2559, 2562, 2574, 2578, 2615, 2633, 2668], "whose": [4, 44, 49, 50, 52, 54, 58, 59, 67, 68, 69, 92, 93, 94, 95, 96, 98, 105, 122, 153, 169, 174, 326, 331, 466, 583, 588, 589, 590, 591, 592, 593, 594, 611, 612, 632, 696, 784, 787, 788, 789, 806, 807, 808, 809, 817, 961, 964, 1028, 1050, 1123, 1127, 1206, 1261, 1266, 1269, 1290, 1293, 1362, 1373, 1376, 1440, 1445, 1452, 1453, 1455, 1457, 1460, 1461, 1525, 1528, 1623, 1628, 1631, 1634, 1679, 1695, 1739, 1754, 1796, 1811, 1853, 1868, 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2667, 2670, 2671, 2672, 2673, 2674, 2678, 2679, 2680, 2681, 2683, 2690, 2692, 2695], "through": [4, 5, 13, 15, 16, 18, 19, 21, 23, 26, 28, 39, 45, 50, 51, 54, 55, 56, 59, 67, 68, 71, 82, 87, 97, 105, 112, 113, 114, 142, 144, 145, 146, 147, 168, 178, 264, 314, 325, 335, 421, 436, 519, 577, 586, 692, 697, 707, 726, 746, 760, 762, 775, 791, 817, 960, 969, 1028, 1063, 1122, 1132, 1137, 1154, 1206, 1261, 1266, 1277, 1289, 1297, 1358, 1362, 1372, 1380, 1437, 1439, 1452, 1453, 1454, 1455, 1456, 1458, 1459, 1460, 1524, 1532, 1998, 2010, 2012, 2032, 2040, 2169, 2215, 2217, 2271, 2290, 2300, 2305, 2306, 2347, 2362, 2368, 2380, 2381, 2412, 2424, 2425, 2459, 2471, 2472, 2509, 2511, 2532, 2536, 2551, 2552, 2553, 2562, 2574, 2590, 2594, 2597, 2603, 2609, 2615, 2618, 2637, 2644, 2645, 2661, 2664, 2666, 2668, 2671, 2672, 2673, 2678, 2679, 2680, 2682, 2685, 2686, 2690, 2691], "bt": 4, "debuggingwithgdb": 4, "commonli": [4, 64, 68, 707, 2204, 2387, 2430, 2477, 2578, 2597, 2626, 2644, 2661, 2668, 2674, 2679, 2694], "proceed": [4, 16, 37, 51, 2351], "subroutin": [4, 23, 24, 26, 27, 28, 29, 31, 33, 34, 35, 36, 37, 40, 50, 59, 69, 73, 2616, 2631, 2644, 2677, 2680], "signal": [4, 19, 26, 56, 59, 64, 67, 123, 130, 435, 447, 616, 619, 620, 624, 625, 627, 630, 702, 703, 747, 775, 2204, 2288, 2370, 2387, 2414, 2430, 2461, 2477, 2523, 2568, 2691], "breakpoint": 4, "exp": [4, 35, 48, 70, 449, 591, 610, 614, 620, 622, 798, 806, 808, 810, 1750, 1768, 1807, 1825, 1864, 1882, 1999, 2205, 2230, 2273, 2274, 2275, 2276, 2277, 2283, 2370, 2372, 2374, 2377, 2378, 2379, 2387, 2399, 2404, 2406, 2414, 2416, 2419, 2421, 2422, 2423, 2430, 2446, 2451, 2453, 2461, 2463, 2466, 2468, 2469, 2470, 2477, 2496, 2501, 2503, 2521, 2523, 2562, 2598, 2668, 2692], "rich": [4, 68, 2380, 2424, 2471, 2559, 2633, 2679], "find": [4, 12, 13, 15, 17, 19, 21, 33, 35, 36, 44, 51, 55, 56, 57, 59, 69, 103, 200, 241, 246, 280, 357, 398, 403, 446, 604, 613, 699, 724, 755, 793, 796, 800, 995, 998, 1006, 1012, 1082, 1083, 1168, 1172, 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2552, 2559, 2578, 2621, 2654, 2661, 2668, 2672, 2686, 2690], "config": [5, 6, 7, 11, 15, 20, 37, 60, 61, 72, 73, 74, 533, 2199, 2553, 2559, 2563, 2564, 2578, 2603, 2644, 2652, 2681], "involv": [5, 13, 18, 19, 21, 50, 56, 59, 74, 801, 2551, 2553, 2560, 2561, 2562, 2565, 2566, 2568, 2572, 2574, 2615, 2631, 2637, 2647, 2657, 2665, 2666, 2678, 2680, 2695], "sequenc": [5, 18, 35, 44, 50, 51, 54, 59, 68, 71, 72, 86, 101, 105, 120, 121, 123, 131, 132, 156, 213, 276, 290, 370, 427, 429, 432, 435, 439, 444, 447, 473, 479, 513, 520, 524, 525, 527, 553, 598, 615, 617, 621, 622, 625, 626, 627, 629, 631, 633, 655, 665, 666, 691, 692, 702, 703, 705, 707, 708, 710, 718, 719, 722, 723, 732, 740, 745, 746, 747, 754, 774, 794, 803, 805, 816, 1044, 1048, 1049, 1051, 1055, 1061, 1075, 1078, 1081, 1082, 1091, 1094, 1104, 1169, 1231, 1232, 1243, 1252, 1262, 1265, 1271, 1275, 1328, 1363, 1407, 1445, 1454, 1456, 1458, 1513, 1558, 1591, 1618, 1625, 1626, 1629, 1630, 1631, 1633, 1634, 1648, 1649, 1652, 1653, 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2667, 2668, 2670, 2672, 2673, 2680, 2692], "fragment": [5, 20, 804, 2557, 2559], "readi": [5, 11, 16, 17, 21, 56, 73, 2559, 2678, 2680], "draft": [5, 15, 2626], "action": [5, 15, 20, 59, 1705, 1762, 1819, 1876, 1933, 1988, 1991, 2193, 2557, 2616, 2636, 2637, 2640, 2642, 2644, 2667, 2668, 2670, 2672, 2686, 2690], "oss": 5, "cpu": [5, 48, 59, 60, 62, 72, 484, 485, 497, 503, 504, 505, 513, 514, 516, 520, 524, 525, 527, 528, 531, 533, 534, 2301, 2354, 2512, 2562, 2572, 2590, 2594, 2595, 2596, 2610, 2615, 2637, 2639, 2641, 2644, 2650, 2654, 2668, 2676, 2694], "travi": [5, 18, 20, 2301, 2565, 2567, 2590, 2604, 2611, 2620, 2629, 2644, 2654], "travisci": [5, 2598], "against": [5, 17, 18, 19, 20, 33, 48, 63, 71, 82, 83, 87, 99, 100, 122, 133, 142, 143, 428, 450, 524, 602, 693, 718, 727, 732, 758, 793, 795, 796, 798, 804, 970, 990, 992, 998, 1028, 1050, 1052, 1065, 1133, 1162, 1164, 1172, 1206, 1220, 1223, 1224, 1238, 1261, 1358, 1362, 1363, 1439, 1448, 1449, 1452, 1453, 1454, 1455, 1456, 1457, 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2572, 2575, 2576, 2577, 2620, 2627, 2655, 2659, 2679], "don": [5, 7, 9, 13, 15, 17, 18, 20, 21, 36, 37, 50, 58, 59, 66, 67, 68, 466, 513, 539, 773, 1100, 1216, 1358, 1439, 2280, 2552, 2559, 2562, 2565, 2569, 2575, 2582, 2598, 2616, 2628, 2637, 2644, 2658, 2661, 2666, 2670, 2678, 2679, 2680, 2682, 2690, 2692], "doctest": [5, 1364, 2249, 2548, 2578, 2591], "valid": [5, 19, 23, 36, 37, 44, 51, 52, 54, 59, 64, 65, 67, 72, 75, 77, 124, 131, 145, 146, 147, 149, 270, 435, 441, 442, 443, 444, 445, 447, 600, 614, 619, 620, 625, 628, 663, 707, 726, 758, 972, 973, 1068, 1069, 1100, 1135, 1136, 1266, 1364, 1591, 1611, 1654, 1715, 1772, 1829, 1886, 1943, 2004, 2011, 2184, 2260, 2261, 2264, 2265, 2304, 2354, 2510, 2521, 2554, 2557, 2559, 2560, 2561, 2562, 2563, 2574, 2578, 2606, 2610, 2615, 2628, 2634, 2637, 2647, 2650, 2651, 2655, 2657, 2663, 2667, 2671, 2679], "cirru": [5, 2643], "cirrusci": 5, "mostli": [5, 15, 28, 58, 60, 71, 1674, 1734, 1791, 1848, 1905, 1962, 2250, 2510, 2511, 2535, 2537, 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2683, 2685, 2692], "03": [5, 51, 146, 747, 805, 1447, 1631, 1694, 1924, 2684], "upgrad": [5, 151, 760, 2017, 2239, 2347, 2506, 2510, 2511, 2574, 2575, 2576, 2577, 2585, 2599, 2602, 2612, 2613, 2619, 2643, 2644, 2651, 2694], "64": [5, 20, 27, 51, 52, 56, 58, 59, 61, 62, 64, 74, 430, 586, 634, 647, 692, 760, 805, 1074, 1457, 1460, 1628, 2008, 2172, 2179, 2309, 2310, 2312, 2316, 2317, 2321, 2322, 2326, 2327, 2331, 2332, 2335, 2336, 2347, 2348, 2351, 2352, 2362, 2376, 2506, 2510, 2512, 2557, 2562, 2563, 2585, 2590, 2621, 2622, 2623, 2626, 2641, 2644, 2648, 2653, 2654, 2665, 2673, 2674, 2683, 2685, 2691, 2692], "32": [5, 20, 50, 51, 52, 56, 58, 59, 61, 64, 68, 124, 128, 198, 252, 355, 409, 427, 567, 610, 692, 760, 1015, 1152, 1193, 1316, 1346, 1364, 1395, 1425, 1457, 1460, 1546, 1576, 1628, 2010, 2055, 2085, 2172, 2189, 2259, 2263, 2280, 2309, 2310, 2316, 2317, 2320, 2321, 2322, 2325, 2326, 2327, 2330, 2331, 2332, 2335, 2336, 2347, 2348, 2349, 2350, 2351, 2352, 2362, 2379, 2423, 2470, 2506, 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50, 2678, 2679, 2680, 2682], "onto": [5, 26, 56, 195, 352, 980, 1146, 1308, 1391, 1543, 1683, 1685, 1686, 1693, 1696, 1703, 1743, 1746, 1753, 1755, 1760, 1800, 1803, 1810, 1812, 1817, 1857, 1860, 1867, 1869, 1874, 1914, 1917, 1924, 1926, 1931, 2052, 2651, 2672, 2680, 2691], "11ee694744f2552d": 5, "26aa21a": 5, "lib": [5, 20, 24, 40, 50, 61, 66, 71, 72, 73, 151, 252, 409, 427, 712, 718, 724, 732, 804, 1015, 1193, 1226, 1346, 1364, 1425, 1438, 1576, 1624, 2017, 2085, 2181, 2182, 2184, 2185, 2192, 2198, 2208, 2249, 2284, 2285, 2353, 2355, 2359, 2361, 2362, 2513, 2518, 2521, 2526, 2534, 2559, 2562, 2563, 2565, 2568, 2570, 2572, 2574, 2581, 2590, 2593, 2596, 2601, 2602, 2604, 2615, 2630, 2657, 2661, 2666, 2670, 2671, 2680, 2681, 2684, 2694], "seek_gzip_factori": 5, "gzip": [5, 2183, 2670], "obj": [5, 50, 52, 59, 62, 68, 69, 105, 132, 156, 157, 180, 337, 439, 440, 441, 459, 461, 554, 673, 720, 722, 745, 892, 971, 1070, 1134, 1220, 1221, 1224, 1225, 1238, 1247, 1248, 1298, 1381, 1533, 2041, 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2644, 2651, 2663, 2670, 2671, 2679, 2680, 2691, 2692], "revis": [5, 54, 71], "detach": 5, "721fc64": 5, "foo": [5, 15, 35, 37, 61, 65, 71, 72, 73, 74, 274, 663, 804, 1105, 1106, 2559, 2563, 2597, 2671], "199": [5, 2692], "insert": [5, 20, 33, 36, 37, 49, 59, 88, 89, 90, 99, 100, 106, 109, 111, 131, 211, 241, 368, 398, 427, 459, 466, 586, 609, 653, 654, 692, 775, 803, 816, 1006, 1037, 1038, 1051, 1079, 1159, 1181, 1251, 1319, 1338, 1398, 1417, 1448, 1449, 1549, 1568, 1628, 2014, 2058, 2077, 2170, 2181, 2187, 2188, 2189, 2213, 2368, 2518, 2557, 2562, 2578, 2590, 2653, 2654, 2661, 2663, 2667, 2671], "66": [5, 55, 445, 2590, 2683, 2692], "0f22701": 5, "79": [5, 92, 96, 2683], "61": [5, 2683], "successfulli": [5, 20, 68, 71, 73, 74, 539, 2000, 2001, 2631], "sophist": [5, 792, 805, 2506, 2557, 2661, 2679, 2680], "went": 5, "wrong": [5, 19, 33, 51, 61, 67, 1634, 2347, 2381, 2425, 2472, 2557, 2562, 2563, 2565, 2567, 2569, 2570, 2572, 2573, 2575, 2582, 2606, 2609, 2624, 2641, 2653, 2655, 2656, 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1075, 1091, 1243, 1252, 1262, 1364, 2017, 2180, 2210, 2214, 2295, 2355, 2362, 2513, 2563, 2585, 2670, 2671, 2674], "taken": [7, 13, 15, 19, 35, 36, 37, 51, 52, 55, 59, 65, 67, 68, 73, 122, 427, 435, 466, 467, 585, 587, 594, 619, 625, 627, 629, 631, 704, 955, 1028, 1033, 1034, 1050, 1073, 1116, 1206, 1261, 1362, 1453, 1461, 1634, 1685, 1693, 1745, 1753, 1802, 1810, 1859, 1867, 1916, 1924, 1972, 1979, 2172, 2188, 2255, 2257, 2258, 2260, 2264, 2282, 2290, 2291, 2292, 2375, 2420, 2467, 2511, 2553, 2561, 2585, 2646, 2651, 2667, 2672, 2673, 2680, 2692], "enumer": [7, 65, 66, 68, 1691, 1692, 1705, 1706, 1707, 1751, 1752, 1762, 1763, 1764, 1808, 1809, 1819, 1820, 1821, 1865, 1866, 1876, 1877, 1878, 1922, 1923, 1933, 1934, 1935, 1977, 1978, 1988, 1989, 1990, 1991, 2647, 2648, 2672, 2679], "12": [7, 23, 26, 44, 50, 51, 55, 56, 71, 73, 74, 90, 99, 100, 121, 123, 125, 127, 130, 136, 137, 198, 252, 355, 409, 427, 442, 450, 451, 452, 458, 459, 463, 464, 468, 496, 551, 552, 580, 586, 611, 615, 617, 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2198, 2562], "limit": [13, 46, 48, 52, 65, 68, 174, 331, 428, 567, 620, 622, 634, 714, 766, 804, 964, 1052, 1127, 1293, 1376, 1528, 1699, 1758, 1815, 1872, 1929, 1984, 2024, 2036, 2179, 2204, 2206, 2217, 2300, 2354, 2387, 2391, 2402, 2403, 2430, 2433, 2449, 2450, 2477, 2480, 2499, 2500, 2506, 2557, 2562, 2563, 2572, 2573, 2578, 2588, 2590, 2597, 2612, 2615, 2616, 2626, 2631, 2641, 2645, 2655, 2657, 2667, 2668, 2670, 2674, 2678], "chat": 13, "educ": [13, 15, 17, 61], "outreach": 13, "deliber": [13, 1620, 2234], "arbitrari": [13, 19, 35, 36, 37, 50, 52, 54, 55, 58, 59, 64, 67, 68, 69, 73, 91, 180, 195, 245, 337, 352, 402, 551, 569, 597, 598, 662, 721, 760, 773, 775, 804, 971, 980, 1010, 1039, 1077, 1078, 1095, 1096, 1134, 1146, 1188, 1276, 1298, 1308, 1342, 1381, 1391, 1421, 1533, 1543, 1572, 2041, 2052, 2081, 2182, 2260, 2264, 2292, 2347, 2349, 2350, 2351, 2368, 2412, 2459, 2506, 2510, 2557, 2559, 2560, 2562, 2572, 2585, 2590, 2597, 2646, 2648, 2667, 2671, 2677, 2678, 2680, 2684], "quantit": 13, "metric": [13, 2572], "divers": [13, 2380, 2424, 2471], "background": [13, 45, 66, 2513, 2548, 2682], "viewpoint": 13, "talent": 13, "sole": [13, 48], "inact": [13, 21], "period": [13, 607, 723, 2288, 2347, 2349, 2350, 2351, 2352, 2354, 2510, 2512, 2523, 2562, 2585, 2647], "grace": [13, 310, 2569, 2615, 2636], "former": [13, 18, 50, 92, 94, 95, 96, 98, 268, 425, 1357, 1436, 1587, 2014, 2096, 2220, 2351, 2560, 2578, 2609, 2615, 2667], "retir": [13, 2680], "websit": [13, 15, 17], "reserv": [13, 46, 68, 2354, 2507, 2552, 2559, 2568, 2578, 2679], "deem": [13, 2236], "harm": [13, 2585], "attempt": [13, 19, 29, 59, 122, 195, 352, 446, 466, 468, 543, 551, 707, 794, 980, 1028, 1074, 1139, 1146, 1206, 1261, 1308, 1362, 1391, 1452, 1453, 1455, 1457, 1460, 1461, 1543, 2052, 2290, 2405, 2452, 2502, 2557, 2574, 2578, 2590, 2615, 2619, 2626, 2637, 2641, 2651, 2654, 2667, 2672, 2674, 2676, 2678], "resolut": [13, 59, 634, 2281, 2603, 2615, 2651], "emploi": [13, 19, 712, 2558], "wide": [13, 15, 52, 62, 74, 441, 548, 632, 793, 2370, 2406, 2414, 2453, 2461, 2503, 2505, 2532, 2552, 2557, 2561, 2570, 2578, 2615, 2661, 2671, 2679, 2680], "compani": [13, 2364, 2370, 2384, 2409, 2414, 2427, 2456, 2461, 2474, 2590], "univers": [13, 44, 50, 51, 55, 66, 68, 69, 123, 662, 702, 703, 747, 773, 793, 795, 1233, 1234, 1627, 2177, 2269, 2292, 2301, 2374, 2405, 2406, 2419, 2452, 2453, 2466, 2502, 2503, 2554, 2562, 2563, 2572, 2590, 2615, 2626, 2637, 2645, 2651, 2661, 2662, 2666, 2668, 2677, 2678, 2680, 2688], "Such": [13, 35, 48, 52, 58, 67, 68, 760, 1260, 2289, 2354, 2383, 2426, 2473, 2512, 2568, 2572, 2637, 2671, 2679], "financi": [13, 2562], "invest": 13, "employ": 13, "contract": [13, 46, 65, 586, 587, 2223, 2562, 2572, 2585, 2658], "influenc": [13, 50, 63, 2387, 2430, 2477, 2663], "proprietari": [13, 42, 2401, 2448, 2498], "shall": [13, 46], "disclos": 13, "recus": 13, "themselv": [13, 50, 52, 58, 145, 180, 337, 971, 1134, 1298, 1381, 1533, 1675, 1691, 1692, 1705, 1706, 1707, 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59, 67, 113, 114, 428, 586, 783, 797, 1045, 1046, 1052, 1462, 1687, 1698, 1712, 1713, 1747, 1757, 1769, 1770, 1804, 1814, 1826, 1827, 1861, 1871, 1883, 1884, 1918, 1928, 1940, 1941, 1974, 1983, 1995, 1996, 2318, 2348, 2379, 2423, 2442, 2470, 2492, 2505, 2567, 2568, 2572, 2585, 2615, 2657, 2674, 2690, 2694], "reporte": 13, "max": [13, 48, 55, 59, 68, 84, 99, 168, 174, 325, 331, 435, 485, 634, 705, 706, 707, 714, 718, 732, 784, 791, 793, 795, 960, 964, 1122, 1127, 1289, 1293, 1372, 1376, 1439, 1452, 1524, 1528, 2011, 2032, 2036, 2220, 2226, 2228, 2229, 2230, 2231, 2254, 2288, 2353, 2374, 2378, 2379, 2380, 2384, 2388, 2406, 2407, 2419, 2422, 2423, 2424, 2431, 2453, 2454, 2466, 2469, 2470, 2471, 2478, 2503, 2504, 2552, 2561, 2562, 2563, 2582, 2585, 2591, 2596, 2597, 2598, 2606, 2609, 2611, 2615, 2637, 2641, 2643, 2646, 2651, 2657, 2661, 2673, 2679, 2690, 2691, 2692], "usurp": 13, "offici": [13, 15, 16, 51, 2450, 2500, 2559, 2619, 2620, 2621, 2645, 2661], "duti": 13, "likewis": [13, 17, 127, 128, 129, 2557, 2572, 2667, 2671], "With": [13, 24, 27, 29, 36, 39, 48, 56, 57, 66, 67, 82, 87, 99, 100, 122, 131, 274, 309, 427, 450, 699, 709, 714, 795, 970, 990, 992, 998, 1028, 1044, 1050, 1065, 1090, 1133, 1162, 1164, 1172, 1206, 1220, 1223, 1224, 1227, 1238, 1261, 1358, 1362, 1363, 1439, 1448, 1449, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1631, 1634, 2010, 2012, 2016, 2215, 2217, 2250, 2279, 2290, 2294, 2401, 2448, 2498, 2510, 2534, 2557, 2560, 2568, 2572, 2578, 2590, 2592, 2597, 2619, 2626, 2631, 2641, 2646, 2661, 2668, 2670, 2679, 2692], "unit": [13, 17, 19, 49, 50, 59, 64, 67, 73, 92, 94, 455, 456, 616, 630, 746, 786, 792, 798, 1999, 2203, 2229, 2232, 2347, 2404, 2405, 2451, 2452, 2501, 2502, 2506, 2558, 2559, 2561, 2567, 2568, 2572, 2582, 2590, 2619, 2637, 2646, 2651, 2667, 2668, 2672], "gift": 13, "partnership": 13, "approv": [13, 17, 21], "employe": 13, "commenc": 13, "laps": 13, "resum": 13, "pursu": [13, 2578], "monei": 13, "donor": 13, "product": 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2587, 2594, 2597, 2602, 2605, 2612, 2615, 2617, 2625, 2628, 2643, 2647, 2653, 2657, 2667, 2668, 2673, 2674, 2678, 2692], "slower": [19, 775, 2179, 2217, 2223, 2353, 2383, 2511, 2551, 2561, 2631, 2664, 2670, 2678, 2680], "silent": [19, 33, 35, 36, 55, 59, 628, 1244, 2306, 2561, 2563, 2570, 2572, 2578, 2585, 2603, 2619, 2633, 2651, 2657, 2672, 2678], "scalarmath": 19, "precis": [19, 29, 36, 44, 52, 55, 56, 58, 59, 64, 68, 69, 73, 91, 106, 109, 111, 122, 245, 260, 261, 402, 417, 418, 430, 446, 451, 453, 454, 455, 580, 586, 588, 589, 590, 592, 593, 594, 595, 610, 634, 647, 653, 654, 694, 791, 1010, 1028, 1039, 1188, 1206, 1235, 1261, 1266, 1342, 1351, 1360, 1362, 1421, 1430, 1431, 1450, 1451, 1453, 1457, 1459, 1460, 1461, 1572, 1581, 1582, 1635, 1651, 1665, 1688, 1726, 1748, 1783, 1805, 1840, 1862, 1897, 1919, 1954, 1975, 2000, 2001, 2009, 2010, 2081, 2090, 2091, 2179, 2183, 2189, 2193, 2215, 2217, 2225, 2226, 2227, 2228, 2230, 2231, 2243, 2255, 2268, 2290, 2375, 2382, 2383, 2438, 2486, 2509, 2536, 2557, 2558, 2559, 2561, 2562, 2563, 2568, 2578, 2585, 2597, 2637, 2645, 2655, 2665, 2671, 2674, 2678, 2679, 2684, 2685, 2691, 2692], "layout": [19, 49, 50, 52, 54, 56, 59, 67, 68, 105, 112, 113, 114, 115, 117, 160, 168, 178, 195, 259, 317, 325, 335, 352, 416, 436, 586, 598, 666, 774, 960, 969, 980, 1000, 1063, 1078, 1122, 1132, 1146, 1174, 1232, 1239, 1265, 1277, 1289, 1297, 1308, 1332, 1350, 1364, 1372, 1380, 1391, 1429, 1462, 1524, 1532, 1543, 1580, 1626, 2020, 2024, 2032, 2040, 2052, 2089, 2169, 2170, 2299, 2300, 2561, 2568, 2648, 2651, 2654, 2657, 2667, 2668, 2671, 2678, 2679, 2692], "thread": [19, 62, 67, 69, 2307, 2338, 2348, 2351, 2356, 2508, 2527, 2561, 2562, 2584, 2587, 2590, 2591, 2593, 2616, 2618, 2628, 2644, 2655, 2657, 2658, 2674, 2690], "associ": [19, 49, 52, 54, 55, 58, 59, 65, 67, 68, 122, 634, 702, 705, 707, 1462, 1687, 1698, 1712, 1713, 1747, 1757, 1769, 1770, 1804, 1814, 1826, 1827, 1861, 1871, 1883, 1884, 1918, 1928, 1940, 1941, 1974, 1983, 1995, 1996, 2011, 2279, 2306, 2354, 2368, 2412, 2459, 2506, 2534, 2557, 2559, 2631, 2645, 2661, 2667, 2670, 2671, 2672, 2673, 2678, 2680, 2691], "proce": [19, 55, 2305, 2674, 2678], "construct": [19, 23, 25, 29, 34, 35, 36, 44, 49, 50, 51, 56, 57, 59, 60, 66, 68, 71, 73, 112, 113, 114, 131, 132, 160, 173, 259, 268, 317, 330, 416, 425, 427, 435, 441, 442, 443, 444, 445, 452, 456, 462, 554, 632, 638, 655, 658, 659, 660, 661, 663, 664, 706, 746, 750, 761, 762, 804, 963, 1029, 1044, 1051, 1071, 1084, 1085, 1105, 1106, 1126, 1207, 1277, 1292, 1350, 1357, 1375, 1429, 1436, 1437, 1462, 1527, 1580, 1587, 1596, 1635, 1687, 1698, 1712, 1713, 1747, 1757, 1769, 1770, 1804, 1814, 1826, 1827, 1861, 1871, 1883, 1884, 1918, 1928, 1940, 1941, 1974, 1983, 1995, 1996, 2024, 2035, 2089, 2096, 2181, 2198, 2204, 2254, 2304, 2347, 2505, 2506, 2510, 2512, 2536, 2557, 2560, 2568, 2570, 2578, 2590, 2597, 2615, 2631, 2637, 2641, 2651, 2655, 2657, 2661, 2667, 2668, 2670, 2671, 2672, 2678, 2679, 2680, 2681, 2684, 2691, 2692, 2695], "signatur": [19, 23, 25, 26, 29, 30, 33, 34, 35, 48, 66, 68, 69, 80, 81, 92, 93, 94, 95, 96, 97, 98, 127, 128, 129, 153, 154, 433, 434, 437, 448, 449, 457, 458, 549, 550, 599, 607, 608, 610, 613, 647, 648, 649, 650, 651, 652, 656, 667, 700, 701, 704, 711, 725, 730, 733, 734, 735, 749, 750, 751, 752, 753, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 1062, 1266, 1276, 1359, 1441, 1443, 1444, 1446, 1617, 1619, 1621, 1629, 2007, 2008, 2018, 2019, 2097, 2167, 2173, 2174, 2201, 2202, 2203, 2205, 2209, 2211, 2212, 2216, 2221, 2222, 2266, 2267, 2269, 2281, 2292, 2557, 2558, 2561, 2562, 2574, 2585, 2591, 2597, 2609, 2610, 2621, 2626, 2628, 2637, 2640, 2643, 2644, 2645, 2653, 2654, 2661, 2672, 2674, 2678, 2679, 2680, 2681], "cobject": [19, 68], "userloop": [19, 68, 2575], "search": [19, 20, 37, 59, 61, 72, 271, 468, 471, 483, 586, 587, 720, 817, 2187, 2242, 2301, 2513, 2562, 2576, 2577, 2619, 2650, 2651, 2653, 2657, 2667, 2671, 2674, 2675, 2678, 2680, 2691, 2692], "implic": [19, 50, 2657], "lesser": [19, 2678], "argument_list": 19, "notimpl": [19, 50, 773, 2562, 2620, 2640, 2653, 2654, 2666, 2668, 2672], "__array_priority__": [19, 50, 59, 2631, 2653, 2654, 2668, 2674, 2677], "__r": [19, 55], "op": [19, 55, 59, 67, 68, 69, 73, 1591, 1618, 2269, 2271, 2278, 2279, 2585, 2589, 2609, 2615, 2631, 2652, 2681], "__": [19, 55, 2574, 2624], "spars": [19, 50, 719, 1094, 1437, 2658, 2668, 2685, 2691], "npy_array_writebackifcopi": [19, 59, 68, 2578, 2631, 2679], "pyarray_resolvewritebackifcopi": [19, 59, 68, 195, 243, 352, 400, 980, 1146, 1184, 1308, 1340, 1391, 1419, 1543, 1570, 2052, 2079, 2578, 2631, 2679], "align": [19, 22, 52, 55, 59, 62, 67, 68, 106, 180, 195, 243, 337, 352, 400, 441, 442, 443, 444, 445, 514, 554, 570, 655, 720, 760, 971, 980, 987, 1134, 1146, 1157, 1184, 1298, 1308, 1340, 1381, 1391, 1419, 1533, 1543, 1570, 1591, 1999, 2024, 2041, 2052, 2079, 2169, 2362, 2379, 2423, 2470, 2508, 2518, 2552, 2560, 2562, 2563, 2579, 2582, 2615, 2623, 2624, 2626, 2630, 2631, 2636, 2637, 2641, 2659, 2663, 2672, 2673, 2678, 2679, 2680], "npy_allow_thread": [19, 59], "lock": [19, 59, 67, 195, 352, 980, 1146, 1308, 1391, 1543, 2052, 2307, 2348, 2351, 2356, 2357, 2362, 2572, 2657, 2679], "gil": [19, 59, 62, 67, 68, 69, 2356, 2357, 2362, 2562, 2565, 2569, 2584, 2587, 2653, 2655, 2656], "prior": [19, 46, 56, 59, 65, 72, 466, 467, 468, 805, 1073, 2369, 2413, 2460, 2534, 2557, 2568, 2578, 2585, 2615, 2641, 2672, 2680, 2695], "uniform": [19, 44, 575, 617, 620, 622, 699, 705, 707, 816, 1272, 2353, 2357, 2362, 2368, 2375, 2376, 2379, 2393, 2396, 2406, 2412, 2423, 2435, 2436, 2438, 2439, 2442, 2453, 2459, 2470, 2482, 2483, 2486, 2487, 2492, 2503, 2509, 2511, 2562, 2615, 2626, 2651, 2671], "outer": [19, 48, 50, 65, 70, 452, 466, 586, 587, 708, 748, 1234, 1591, 2250, 2562, 2572, 2663, 2666, 2671, 2672, 2692, 2695], "byteswap": [19, 59, 68, 658, 720, 776, 1084, 2562, 2656, 2676], "bufsiz": [19, 69], "settabl": [19, 58, 59, 2349, 2350, 2674], "consider": [19, 21, 50, 718, 732, 2518], "remaind": [19, 48, 56, 59, 550, 649, 652, 1443, 1444, 1635, 1650, 1686, 1746, 1803, 1860, 1917, 1973, 2277, 2283, 2536, 2568, 2574, 2590, 2615, 2641, 2667], "induc": [19, 2512, 2573, 2679], "__array_wrap__": [19, 50, 2573, 2646, 2668, 2674, 2677], "tupl": [19, 21, 35, 44, 48, 50, 52, 54, 55, 56, 57, 58, 59, 65, 68, 69, 71, 73, 80, 81, 82, 87, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 100, 112, 113, 114, 122, 127, 128, 129, 131, 133, 135, 143, 144, 150, 153, 154, 160, 180, 210, 211, 233, 244, 252, 265, 317, 337, 367, 368, 390, 401, 409, 422, 427, 433, 434, 437, 441, 442, 443, 444, 445, 448, 449, 450, 456, 457, 458, 463, 471, 509, 524, 549, 550, 554, 567, 581, 583, 587, 597, 599, 607, 608, 609, 610, 613, 618, 623, 638, 640, 644, 647, 648, 649, 650, 651, 652, 655, 656, 660, 687, 690, 699, 700, 701, 704, 708, 711, 719, 725, 730, 733, 734, 735, 740, 742, 746, 748, 750, 751, 752, 753, 754, 760, 765, 767, 768, 773, 775, 795, 802, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 869, 874, 934, 949, 970, 971, 988, 990, 992, 995, 1003, 1008, 1015, 1026, 1028, 1037, 1038, 1046, 1050, 1062, 1065, 1077, 1079, 1085, 1094, 1106, 1111, 1133, 1134, 1158, 1159, 1162, 1164, 1168, 1178, 1185, 1193, 1204, 1206, 1220, 1224, 1228, 1230, 1247, 1251, 1261, 1264, 1266, 1268, 1272, 1273, 1277, 1298, 1318, 1319, 1336, 1341, 1344, 1346, 1355, 1358, 1359, 1362, 1364, 1381, 1397, 1398, 1415, 1420, 1425, 1434, 1439, 1441, 1443, 1444, 1446, 1452, 1453, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1462, 1513, 1533, 1548, 1549, 1566, 1571, 1576, 1585, 1589, 1591, 1617, 1618, 1619, 1620, 1621, 1629, 1631, 1632, 1673, 1687, 1691, 1692, 1694, 1698, 1705, 1706, 1707, 1712, 1713, 1747, 1751, 1752, 1757, 1762, 1763, 1764, 1769, 1770, 1804, 1808, 1809, 1814, 1819, 1820, 1821, 1826, 1827, 1861, 1865, 1866, 1871, 1876, 1877, 1878, 1883, 1884, 1918, 1922, 1923, 1928, 1933, 1934, 1935, 1940, 1941, 1974, 1977, 1978, 1983, 1988, 1989, 1990, 1991, 1995, 1996, 2008, 2010, 2012, 2014, 2016, 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2466, 2467, 2468, 2469, 2470, 2471, 2472, 2473, 2474, 2475, 2476, 2477, 2478, 2480, 2481, 2482, 2483, 2484, 2486, 2487, 2489, 2492, 2494, 2495, 2496, 2497, 2498, 2499, 2500, 2501, 2502, 2503, 2504, 2505, 2507, 2518, 2536, 2557, 2561, 2562, 2578, 2627, 2631, 2641, 2648, 2653, 2654, 2658, 2661, 2665, 2667, 2670, 2672, 2673, 2674, 2678, 2679, 2681, 2683, 2692], "tri": [19, 20, 50, 59, 2186, 2560, 2637, 2651, 2666, 2694], "typeerror": [19, 50, 51, 56, 106, 122, 126, 261, 270, 418, 438, 445, 455, 468, 604, 656, 663, 742, 750, 1221, 1225, 1431, 1582, 2091, 2306, 2314, 2357, 2362, 2396, 2518, 2534, 2536, 2557, 2562, 2563, 2572, 2574, 2575, 2585, 2590, 2594, 2597, 2619, 2626, 2634, 2637, 2641, 2651, 2657, 2666, 2667, 2668, 2671, 2672, 2679, 2681, 2692], "construct_reduc": 19, "otyp": [19, 2292], "reduct": [19, 55, 59, 65, 67, 68, 69, 82, 87, 586, 1456, 1458, 1591, 1631, 2012, 2016, 2279, 2281, 2561, 2562, 2572, 2585, 2597, 2609, 2619, 2627, 2642, 2649, 2655, 2656, 2671, 2674], "retriev": [19, 50, 54, 67, 68, 71, 466, 583, 761, 1591, 2306, 2661, 2680], "storag": [19, 35, 51, 69, 260, 417, 659, 999, 1173, 1351, 1430, 1581, 2090, 2351, 2657, 2668, 2680, 2684, 2691], "un": [19, 576, 2575, 2585], "behav": [19, 44, 48, 52, 58, 59, 68, 69, 193, 195, 305, 350, 352, 722, 738, 805, 978, 980, 999, 1051, 1143, 1146, 1173, 1307, 1308, 1390, 1391, 1542, 1543, 1596, 2013, 2051, 2052, 2219, 2278, 2281, 2296, 2450, 2500, 2508, 2534, 2562, 2563, 2568, 2572, 2578, 2585, 2590, 2603, 2609, 2615, 2631, 2646, 2648, 2653, 2657, 2667, 2670, 2671, 2673, 2678, 2679, 2691, 2695], "axi": [19, 21, 44, 48, 50, 56, 57, 59, 65, 67, 82, 84, 85, 86, 87, 88, 89, 90, 92, 96, 99, 100, 101, 102, 110, 122, 123, 130, 131, 151, 160, 162, 163, 164, 165, 166, 167, 175, 181, 182, 217, 218, 219, 225, 226, 230, 246, 249, 251, 252, 254, 257, 265, 267, 268, 317, 319, 320, 321, 322, 323, 324, 332, 338, 339, 374, 375, 376, 382, 383, 387, 403, 406, 408, 409, 411, 414, 422, 424, 425, 431, 432, 450, 451, 452, 453, 454, 459, 466, 467, 551, 552, 553, 586, 602, 609, 614, 615, 617, 618, 619, 620, 621, 622, 624, 625, 627, 628, 631, 644, 645, 646, 650, 651, 660, 692, 699, 702, 703, 706, 709, 710, 719, 720, 722, 747, 754, 775, 784, 791, 795, 803, 816, 954, 955, 956, 957, 958, 959, 965, 970, 972, 973, 990, 991, 992, 996, 997, 998, 1000, 1002, 1012, 1013, 1014, 1015, 1016, 1018, 1026, 1028, 1030, 1033, 1034, 1035, 1036, 1037, 1038, 1040, 1041, 1042, 1050, 1058, 1061, 1065, 1066, 1068, 1069, 1073, 1075, 1079, 1085, 1090, 1091, 1094, 1107, 1109, 1110, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1128, 1133, 1135, 1136, 1162, 1163, 1164, 1169, 1170, 1171, 1172, 1174, 1177, 1190, 1191, 1192, 1193, 1194, 1196, 1204, 1206, 1220, 1222, 1223, 1224, 1226, 1229, 1230, 1237, 1238, 1239, 1243, 1248, 1250, 1251, 1252, 1253, 1254, 1261, 1262, 1276, 1283, 1284, 1285, 1286, 1287, 1288, 1294, 1299, 1300, 1321, 1322, 1323, 1328, 1329, 1330, 1332, 1334, 1343, 1344, 1345, 1346, 1347, 1349, 1355, 1356, 1357, 1358, 1359, 1362, 1363, 1366, 1367, 1368, 1369, 1370, 1371, 1377, 1382, 1383, 1400, 1401, 1402, 1407, 1408, 1409, 1413, 1422, 1423, 1424, 1425, 1426, 1428, 1434, 1435, 1436, 1437, 1439, 1441, 1448, 1449, 1450, 1451, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1518, 1519, 1520, 1521, 1522, 1523, 1529, 1534, 1535, 1551, 1552, 1553, 1558, 1559, 1560, 1564, 1573, 1574, 1575, 1576, 1577, 1579, 1585, 1586, 1587, 1612, 1628, 1629, 1630, 1631, 1685, 1693, 1745, 1753, 1802, 1810, 1859, 1867, 1916, 1924, 1972, 1979, 2010, 2012, 2013, 2014, 2016, 2017, 2020, 2026, 2027, 2028, 2029, 2030, 2031, 2037, 2042, 2043, 2060, 2061, 2062, 2067, 2068, 2069, 2073, 2082, 2083, 2084, 2085, 2086, 2088, 2094, 2095, 2096, 2168, 2170, 2171, 2175, 2176, 2178, 2180, 2181, 2203, 2206, 2210, 2213, 2214, 2215, 2217, 2218, 2219, 2220, 2223, 2254, 2255, 2256, 2257, 2271, 2279, 2280, 2285, 2286, 2288, 2290, 2294, 2295, 2305, 2368, 2379, 2381, 2383, 2389, 2390, 2395, 2397, 2412, 2423, 2426, 2443, 2444, 2459, 2470, 2473, 2493, 2494, 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1032, 1033, 1034, 1036, 1038, 1041, 1042, 1044, 1045, 1046, 1050, 1051, 1053, 1054, 1058, 1060, 1061, 1065, 1066, 1069, 1071, 1073, 1074, 1081, 1086, 1087, 1088, 1097, 1098, 1099, 1100, 1101, 1102, 1107, 1109, 1110, 1111, 1112, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1222, 1223, 1224, 1226, 1227, 1228, 1229, 1236, 1238, 1239, 1241, 1242, 1244, 1245, 1250, 1254, 1257, 1259, 1263, 2305, 2306, 2631, 2671, 2684], "fill_valu": [44, 59, 432, 665, 666, 928, 955, 957, 958, 959, 965, 970, 973, 979, 983, 986, 990, 991, 992, 995, 998, 999, 1000, 1001, 1003, 1009, 1012, 1016, 1019, 1021, 1022, 1023, 1024, 1029, 1031, 1032, 1033, 1034, 1036, 1038, 1040, 1041, 1042, 1044, 1045, 1046, 1050, 1051, 1056, 1058, 1060, 1061, 1065, 1066, 1069, 1070, 1071, 1073, 1074, 1080, 1081, 1086, 1087, 1088, 1097, 1098, 1099, 1100, 1101, 1102, 1107, 1109, 1110, 1111, 1112, 1116, 1118, 1119, 1121, 1128, 1133, 1136, 1145, 1149, 1150, 1151, 1154, 1156, 1162, 1163, 1164, 1168, 1172, 1173, 1174, 1175, 1178, 1187, 1190, 1194, 1197, 1199, 1200, 1201, 1202, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1236, 1238, 1239, 1241, 1242, 1244, 1245, 1250, 1254, 1257, 1259, 1263, 2230, 2306, 2562, 2574, 2588, 2631, 2637, 2648, 2671, 2684], "1e": [44, 48, 83, 106, 109, 610, 727, 786, 796, 807, 808, 810, 811, 955, 983, 986, 990, 992, 995, 1001, 1031, 1032, 1033, 1034, 1045, 1046, 1050, 1070, 1071, 1081, 1111, 1112, 1116, 1144, 1149, 1150, 1151, 1156, 1162, 1164, 1168, 1175, 1211, 1212, 1217, 1218, 1220, 1223, 1224, 1228, 1236, 1242, 1250, 1263, 1704, 1761, 1818, 1875, 1932, 1987, 2002, 2189, 2225, 2227, 2229, 2230, 2305, 2306, 2383, 2426, 2473, 2673, 2684], "recarrai": [44, 50, 112, 113, 268, 425, 441, 442, 443, 444, 445, 979, 1145, 1357, 1436, 1587, 2560, 2562, 2565, 2567, 2578, 2603, 2641, 2649, 2670], "as_strid": [44, 252, 409, 775, 1015, 1193, 1346, 1425, 1576, 2085, 2198, 2562, 2565, 2655], "int32": [44, 48, 52, 55, 56, 58, 69, 91, 109, 128, 152, 180, 187, 242, 252, 337, 344, 399, 409, 441, 442, 445, 554, 568, 576, 714, 741, 742, 743, 971, 975, 983, 1015, 1039, 1111, 1134, 1140, 1144, 1149, 1183, 1193, 1221, 1225, 1298, 1304, 1339, 1346, 1381, 1387, 1418, 1425, 1457, 1460, 1533, 1539, 1569, 1576, 1591, 1623, 2041, 2047, 2078, 2085, 2186, 2217, 2281, 2305, 2568, 2611, 2615, 2626, 2637, 2641, 2651, 2665, 2667, 2671, 2673, 2690, 2692], "i4": [44, 52, 54, 102, 105, 112, 113, 152, 442, 443, 445, 554, 562, 574, 578, 581, 633, 655, 743, 805, 1247, 1264, 1591, 2011, 2024, 2172, 2197, 2206, 2298, 2563, 2572, 2578, 2631, 2670, 2671], "f4": [44, 52, 54, 59, 112, 113, 152, 442, 633, 805, 1105, 1106, 1360, 1591, 2011, 2563, 2578, 2671], "exploit": [44, 435, 628, 2523], "programm": [44, 63, 2680, 2695], "favor": [44, 2562, 2568, 2585, 2603, 2618], "offload": 44, "touch": [44, 2644], "versu": [44, 156, 157, 160, 317, 439, 440, 1029, 1207], "distinct": [44, 68, 97, 193, 350, 596, 650, 651, 978, 1143, 1307, 1359, 1390, 1441, 1542, 2051, 2171, 2347, 2348, 2351, 2352, 2382, 2390, 2395, 2505, 2510, 2512, 2560, 2568, 2672, 2682, 2691], "feasibl": 44, "26": [45, 50, 51, 55, 74, 129, 1074, 2259, 2263, 2301, 2358, 2381, 2425, 2472, 2557, 2562, 2577, 2579, 2580, 2620, 2641, 2643, 2667, 2675, 2683, 2692], "histor": [45, 51, 58, 66, 74, 2563, 2615, 2682, 2691], "deriv": [45, 46, 58, 604, 699, 782, 1104, 1649, 1652, 1685, 1745, 1753, 1802, 1810, 1859, 1916, 1972, 2200, 2307, 2348, 2349, 2350, 2351, 2352, 2379, 2384, 2387, 2396, 2401, 2423, 2430, 2448, 2470, 2477, 2498, 2505, 2506, 2510, 2536, 2541, 2553, 2562, 2574, 2591, 2592, 2615, 2647, 2667, 2670, 2672, 2695], "assort": [45, 2695], "mathemat": [45, 92, 93, 94, 95, 96, 98, 448, 607, 699, 712, 795, 806, 807, 808, 2006, 2203, 2204, 2205, 2221, 2222, 2301, 2375, 2377, 2404, 2421, 2451, 2468, 2501, 2513, 2615, 2692, 2695], "discret": [45, 123, 130, 435, 447, 454, 467, 614, 615, 616, 617, 620, 621, 622, 625, 627, 628, 629, 630, 631, 723, 1073, 2204, 2301, 2375, 2376, 2403, 2407, 2436, 2438, 2450, 2454, 2483, 2486, 2500, 2504, 2509, 2513, 2695], "fourier": [45, 123, 435, 614, 615, 616, 617, 620, 621, 622, 625, 627, 628, 629, 630, 631, 2301, 2513, 2691, 2695], "statist": [45, 62, 775, 810, 1028, 1206, 1261, 1456, 1458, 1459, 1461, 1629, 1631, 2016, 2215, 2290, 2301, 2347, 2349, 2350, 2352, 2363, 2364, 2367, 2371, 2374, 2375, 2378, 2379, 2386, 2388, 2392, 2397, 2401, 2404, 2406, 2408, 2409, 2411, 2415, 2419, 2420, 2422, 2423, 2429, 2431, 2434, 2444, 2448, 2451, 2453, 2455, 2456, 2458, 2462, 2466, 2467, 2469, 2470, 2476, 2478, 2481, 2494, 2498, 2501, 2503, 2506, 2511, 2512, 2513, 2535, 2619, 2654, 2681, 2692, 2695], "beginn": [45, 66, 2688, 2692], "flowchart": 45, "2005": [46, 51, 54, 2511, 2645], "redistribut": 46, "met": [46, 59, 551, 794, 1074, 1107, 1109, 1110, 1139, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 2229, 2663], "disclaim": 46, "promot": [46, 59, 67, 105, 122, 444, 604, 647, 1276, 2008, 2011, 2172, 2254, 2281, 2513, 2562, 2578, 2579, 2597, 2619, 2637, 2639, 2641, 2648, 2674], "BY": [46, 2684], "holder": [46, 68], "AS": 46, "OR": [46, 87, 128, 814, 1284, 2679, 2680, 2691], "warranti": 46, "BUT": 46, "TO": [46, 2694], "merchant": 46, "fit": [46, 55, 58, 68, 198, 355, 791, 1152, 1235, 1316, 1364, 1395, 1546, 1634, 1651, 1688, 1694, 1708, 1709, 1710, 1748, 1765, 1766, 1767, 1805, 1822, 1823, 1824, 1862, 1879, 1880, 1881, 1919, 1936, 1937, 1938, 1975, 1992, 1993, 1994, 2055, 2168, 2172, 2177, 2379, 2388, 2423, 2431, 2470, 2478, 2510, 2534, 2541, 2553, 2562, 2590, 2619, 2641, 2647, 2651, 2652, 2665, 2672, 2674, 2679, 2684], "FOR": [46, 2645, 2694], "NO": 46, "event": [46, 62, 810, 811, 2372, 2374, 2391, 2399, 2416, 2419, 2433, 2446, 2463, 2466, 2480, 2496, 2626], "owner": [46, 59, 195, 243, 352, 400, 980, 1146, 1184, 1308, 1340, 1391, 1419, 1543, 1570, 2052, 2079], "liabl": 46, "indirect": [46, 101, 102, 246, 403, 754, 959, 1012, 1042, 1121, 1169, 1190, 1328, 1343, 1407, 1422, 1558, 1573, 1630, 2067, 2082, 2206, 2599, 2661], "incident": 46, "exemplari": 46, "consequenti": 46, "damag": 46, "procur": 46, "interrupt": [46, 2562], "ON": [46, 2318, 2348, 2694], "tort": 46, "neglig": [46, 2512, 2680], "SUCH": 46, "experiment": [48, 2562, 2568, 2585, 2590, 2615, 2646, 2651, 2654, 2657], "47": [48, 2263, 2371, 2415, 2462, 2562, 2683, 2692], "disallow": [48, 804, 2182, 2551, 2572, 2578, 2590, 2603, 2615, 2629, 2637], "consum": [48, 56, 59, 68, 160, 220, 317, 377, 760, 993, 1165, 1277, 1324, 1403, 1462, 1554, 2024, 2063, 2348, 2349, 2350, 2351, 2352, 2510, 2661, 2664, 2678], "conform": [48, 150, 806, 807, 808, 809, 2626], "aco": [48, 92], "arcco": [48, 94, 95, 2225, 2626], "acosh": 48, "arccosh": [48, 2626], "asin": [48, 94], "arcsin": [48, 92, 2203, 2232, 2626], "asinh": [48, 95], "arcsinh": [48, 93, 2626], "atan": [48, 96], "arctan": [48, 92, 94, 97, 2626, 2681], "atan2": [48, 97, 2681], "arctan2": [48, 86, 94, 96, 2639, 2681], "atanh": [48, 68, 98], "arctanh": [48, 93, 2626], "bitwise_left_shift": 48, "left_shift": [48, 59, 2173], "bitwise_invert": 48, "bitwise_right_shift": 48, "right_shift": [48, 59, 751], "bool_": [48, 52, 58, 69, 818, 1104, 2560, 2568, 2574, 2578, 2615, 2673], "concat": [48, 2562], "matrix_norm": 48, "vector_norm": 48, "permute_dim": 48, "pow": [48, 55, 1508, 1699, 1758, 1815, 1872, 1929, 1984, 2627], "unique_al": 48, "unique_count": [48, 2285, 2562], "unique_invers": [48, 2285], "unique_valu": [48, 2661], "wherea": [48, 55, 56, 58, 59, 65, 450, 1635, 2272, 2375, 2420, 2467, 2559, 2563, 2574, 2626, 2645, 2691, 2692], "diagon": [48, 55, 59, 263, 420, 431, 446, 462, 463, 464, 465, 586, 612, 632, 713, 783, 786, 787, 788, 789, 796, 1025, 1071, 1072, 1092, 1203, 1235, 1256, 1266, 1269, 1270, 1354, 1433, 1584, 1651, 2093, 2188, 2255, 2258, 2259, 2260, 2261, 2263, 2264, 2265, 2383, 2426, 2473, 2562, 2568, 2651, 2654, 2665, 2666, 2667, 2691, 2692], "tensordot": [48, 551, 586, 721, 801, 802, 1095, 1096, 1233, 1234, 1276, 1627, 2278, 2562], "trace": [48, 55, 59, 66, 462, 465, 466, 586, 1072, 2562, 2567, 2574, 2692], "argsort": [48, 50, 55, 59, 68, 101, 246, 403, 754, 759, 1012, 1190, 1343, 1422, 1573, 2014, 2082, 2187, 2206, 2220, 2256, 2562, 2568, 2572, 2585, 2627, 2661, 2691, 2692], "matrix_rank": [48, 2562, 2597, 2657, 2691], "rtol": [48, 83, 727, 1031, 1218, 2225, 2230], "tol": [48, 793, 1679, 1704, 1739, 1761, 1796, 1818, 1853, 1875, 1910, 1932, 1967, 1987, 2002, 2023, 2383, 2426, 2473, 2574], "pinv": [48, 2562, 2574, 2691], "rcond": [48, 791, 796, 1235, 1651, 1665, 1688, 1726, 1748, 1783, 1805, 1840, 1862, 1897, 1919, 1954, 1975, 2578], "ddof": [48, 251, 267, 408, 424, 446, 451, 1014, 1028, 1064, 1067, 1192, 1206, 1253, 1261, 1345, 1356, 1424, 1435, 1459, 1461, 1575, 1586, 2084, 2095, 2215, 2290, 2387, 2401, 2430, 2448, 2477, 2498, 2562, 2650], "newshap": [48, 59, 1004, 1106, 1179, 2170, 2661], "deviat": [48, 50, 59, 251, 408, 707, 955, 1014, 1028, 1033, 1034, 1116, 1192, 1206, 1253, 1261, 1273, 1345, 1424, 1459, 1461, 1575, 2084, 2215, 2290, 2306, 2371, 2379, 2383, 2387, 2400, 2401, 2415, 2423, 2426, 2430, 2437, 2447, 2448, 2462, 2470, 2473, 2477, 2484, 2497, 2498, 2615, 2661, 2663, 2672, 2692], "asarrai": [48, 50, 112, 114, 160, 317, 718, 773, 1045, 1278, 1279, 1311, 1312, 1635, 2169, 2296, 2356, 2357, 2362, 2559, 2568, 2578, 2615, 2637, 2641, 2647, 2666, 2668, 2672, 2680, 2691], "1e64": 48, "int8": [48, 52, 58, 116, 268, 425, 554, 597, 725, 998, 1077, 1172, 1221, 1225, 1231, 1238, 1264, 1357, 1436, 1587, 1625, 2010, 2012, 2096, 2172, 2198, 2217, 2298, 2568, 2572, 2599, 2609, 2637, 2641, 2651, 2665, 2673, 2684], "int16": [48, 52, 58, 170, 268, 327, 425, 441, 467, 554, 563, 714, 962, 998, 1029, 1073, 1125, 1172, 1207, 1238, 1291, 1357, 1374, 1436, 1440, 1526, 1587, 1687, 1698, 1712, 1713, 1747, 1757, 1769, 1770, 1804, 1814, 1826, 1827, 1861, 1871, 1883, 1884, 1918, 1928, 1940, 1941, 1974, 1983, 1995, 1996, 2012, 2034, 2096, 2193, 2568, 2599, 2609, 2641, 2651, 2673, 2684, 2692], "10404": 48, "fallsback": 48, "overflowerror": [48, 2563, 2569, 2574, 2657], "__pow__": [48, 2572], "__rpow__": 48, "can_cast": [48, 633, 1440, 2011, 2172, 2513, 2561, 2562, 2674], "result_typ": [48, 59, 122, 152, 554, 604, 633, 1440, 2011, 2513, 2609, 2622, 2631, 2641, 2648, 2671, 2674], "prod": [48, 55, 59, 220, 245, 377, 402, 801, 802, 993, 997, 1010, 1165, 1171, 1188, 1324, 1342, 1403, 1421, 1457, 1554, 1572, 2063, 2081, 2379, 2423, 2470, 2572, 2585, 2597, 2631, 2641, 2651, 2661, 2692], "upcast": [48, 59, 69, 105, 751, 2562, 2674, 2692], "ellips": 48, "sign": [48, 52, 59, 61, 68, 83, 97, 106, 125, 427, 433, 434, 437, 567, 574, 634, 652, 653, 654, 656, 694, 725, 798, 805, 998, 1062, 1172, 1238, 1443, 2010, 2012, 2167, 2183, 2189, 2217, 2267, 2268, 2376, 2436, 2438, 2483, 2486, 2509, 2518, 2523, 2557, 2558, 2562, 2568, 2586, 2596, 2601, 2615, 2637, 2646, 2647, 2651, 2655, 2661, 2665, 2673, 2676, 2682], "subsect": [48, 2505], "ab": [48, 80, 83, 123, 130, 446, 588, 589, 590, 607, 617, 702, 703, 727, 747, 784, 792, 794, 795, 1028, 1206, 1261, 1459, 1461, 2215, 2225, 2226, 2227, 2228, 2229, 2290, 2376, 2377, 2387, 2401, 2421, 2430, 2448, 2468, 2477, 2498, 2523, 2568, 2572, 2594, 2668, 2692], "bitwise_and": [48, 59, 128, 129, 725, 812, 2562], "bitwise_or": [48, 59, 127, 129, 725, 814], "bitwise_xor": [48, 59, 127, 128, 725, 815], "ceil": [48, 59, 91, 104, 637, 648, 649, 707, 805, 1039, 2174, 2179, 2267, 2508, 2552, 2562, 2637, 2691, 2692], "cosh": [48, 93, 2222, 2626], "expm1": [48, 607, 808, 2626], "floor": [48, 59, 104, 154, 550, 637, 649, 805, 910, 1443, 1631, 2016, 2167, 2174, 2179, 2267, 2536, 2562, 2637, 2646, 2692], "floor_divid": [48, 59, 550, 1443, 2167, 2568, 2574, 2592, 2597, 2615, 2619, 2626, 2631, 2637, 2641], "greater_equ": [48, 59, 275, 278, 291, 292, 298, 599, 700, 752, 753, 1621, 2637], "isfinit": [48, 61, 70, 733, 734, 735, 736, 737, 1212, 1447, 1452, 1455, 1460, 2562, 2573, 2690], "isinf": [48, 61, 70, 730, 734, 735, 736, 737, 1447, 2562, 2603, 2653, 2690], "isnan": [48, 61, 70, 730, 733, 735, 736, 737, 1358, 1439, 1447, 1450, 1451, 1452, 1455, 1457, 1460, 2279, 2562, 2574, 2603, 2667, 2690], "less_equ": [48, 59, 275, 278, 279, 291, 298, 599, 700, 701, 752, 1621, 2637], "logaddexp": [48, 811, 2590, 2609, 2645], "log10": [48, 123, 130, 702, 703, 718, 732, 747, 806, 809, 2572, 2626], "log1p": [48, 610, 806, 809, 2626, 2655], "log2": [48, 806, 811, 2626, 2645, 2648], "logical_and": [48, 59, 127, 813, 814, 815, 2590, 2631, 2651, 2654, 2691], "logical_not": [48, 725, 812, 814, 815, 2306, 2651, 2654], "logical_or": [48, 59, 128, 812, 813, 815, 1108, 2590, 2651, 2654, 2691], "logical_xor": [48, 129, 812, 813, 814, 2562, 2590], "multipli": [48, 50, 59, 68, 69, 453, 551, 586, 750, 751, 760, 788, 797, 913, 926, 939, 1233, 1234, 1276, 1450, 1591, 1627, 1635, 1685, 1693, 1696, 1697, 1745, 1753, 1755, 1756, 1802, 1810, 1812, 1813, 1859, 1867, 1869, 1870, 1916, 1924, 1926, 1927, 1972, 1976, 1979, 1981, 1982, 2010, 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588, 589, 590, 592, 593, 594, 595, 694, 2009, 2190, 2562, 2578, 2626, 2651, 2692], "2f": [106, 2360, 2362, 2661], "0x0": 106, "array_equiv": 107, "array2str": [109, 111, 2189, 2562, 2581, 2651], "4e": [109, 712, 2023, 2183], "000001": 109, "ari": [110, 119, 120, 121, 552, 585, 709, 2210, 2294, 2557], "indices_or_sect": [110, 552, 709, 2210, 2294], "asfarrai": [112, 113, 114, 2562], "asarray_chkfinit": [112, 113], "fromit": [112, 113, 114, 664, 2562], "fromfunct": [112, 113, 114, 2692], "may_share_memori": [115, 117, 2198, 2568, 2637], "whilst": [119, 1047], "arys1": [119, 120, 121, 1047, 1048, 1049], "arys2": [119, 120, 121, 1047, 1048, 1049], "atleast_2d": [119, 121, 131, 609, 1047, 1049, 1079, 2692], "atleast_3d": [119, 120, 609, 1047, 1048, 1079, 2692], "res2": [120, 121, 1048, 1049], "atleast_1d": [120, 121, 131, 609, 1048, 1049, 1079, 1620, 2597, 2692], "res1": [121, 1049], "weight": [122, 126, 451, 702, 703, 705, 706, 707, 708, 805, 991, 1050, 1163, 1222, 1235, 1362, 1453, 1651, 1665, 1688, 1690, 1711, 1726, 1748, 1750, 1768, 1783, 1805, 1807, 1825, 1840, 1862, 1864, 1882, 1897, 1919, 1921, 1939, 1954, 1975, 2354, 2381, 2388, 2425, 2431, 2472, 2478, 2563, 2590, 2647, 2661, 2663, 2671], "avg": [122, 1050], "sum_of_weight": [122, 1050], "retval": 122, "array_typ": [122, 633, 2557], "zerodivisionerror": [122, 2236], "triangular": [123, 783, 786, 787, 789, 797, 1266, 2260, 2261, 2264, 2265], "taper": [123, 130, 702, 703, 747], "rippl": 123, "frequenc": [123, 130, 451, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 627, 628, 630, 702, 703, 747, 2374, 2377, 2388, 2407, 2419, 2421, 2431, 2454, 2466, 2468, 2478, 2504, 2523, 2661], "sampl": [123, 130, 451, 616, 623, 628, 630, 692, 699, 702, 703, 705, 706, 708, 723, 747, 803, 816, 1235, 1272, 1273, 1456, 1458, 1631, 1651, 1665, 1688, 1690, 1694, 1700, 1701, 1708, 1709, 1710, 1726, 1748, 1750, 1765, 1766, 1767, 1783, 1805, 1807, 1822, 1823, 1824, 1840, 1862, 1864, 1879, 1880, 1881, 1897, 1919, 1921, 1936, 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1454, 1629, 1631, 1694, 2016, 2349, 2350, 2523, 2568, 2609], "blackman": [123, 702, 703, 747], "ham": [123, 130, 703, 747, 1216], "han": [123, 130, 702, 747, 2654], "kaiser": [123, 130, 702, 703], "literatur": [123, 130, 702, 703, 707, 747, 2374, 2419, 2466, 2626], "convolut": [123, 435, 447, 1653, 2292, 2523], "interpol": [123, 296, 625, 706, 723, 1235, 1456, 1458, 1631, 1651, 1688, 1694, 1748, 1805, 1862, 1919, 1975, 2016, 2171, 2204, 2562, 2563, 2578, 2590, 2626], "apod": [123, 130, 702, 703, 747], "discontinu": [123, 130, 702, 703, 747, 1456, 1458, 1631, 2016, 2288, 2570, 2626], "kanasewich": [123, 702, 703, 747], "periodogram": 123, "analysi": [123, 702, 703, 747, 2177, 2351, 2374, 2378, 2379, 2388, 2419, 2422, 2423, 2431, 2466, 2469, 2470, 2478, 2523, 2551, 2591, 2598, 2600, 2661, 2671], "spectra": [123, 130, 702, 703], "biometrika": 123, "1950": 123, "geophys": [123, 699, 702, 703, 747], "alberta": [123, 702, 703, 747], "press": [123, 702, 703, 747, 784, 786, 787, 793, 795, 796, 799, 1233, 1234, 1627, 1634, 2177, 2374, 2380, 2404, 2405, 2407, 2419, 2424, 2451, 2452, 2454, 2466, 2471, 2501, 2502, 2504, 2523], "1975": [123, 702, 703, 747], "109": [123, 702, 2511], "oppenheim": [123, 130], "schafer": [123, 130], "prentic": [123, 130, 1634], "hall": [123, 130, 1634, 2682], "468": [123, 130], "471": [123, 130, 2511], "window_funct": [123, 702, 703, 747], "flanneri": [123, 702, 703, 793, 2523], "teukolski": [123, 702, 703, 793, 2523], "vetterl": [123, 702, 703, 793], "cambridg": [123, 702, 703, 793, 2177, 2407, 2454, 2504, 2523], "1986": [123, 702, 703], "429": 123, "18181818": 123, "36363636": 123, "54545455": 123, "72727273": 123, "90909091": 123, "fftshift": [123, 130, 615, 617, 622, 623, 702, 703, 747, 2523], "line2d": [123, 130, 614, 620, 692, 702, 703, 723, 747, 803, 816, 2204], "ylabel": [123, 130, 702, 703, 747, 1631, 2203, 2204], "amplitud": [123, 130, 702, 703, 747, 2204, 2229, 2523], "xlabel": [123, 130, 702, 703, 747, 1631, 2203, 2204], "640x480": [123, 130, 702, 703, 747], "2048": [123, 130, 702, 703, 747, 2650], "mag": [123, 130, 702, 703, 747], "freq": [123, 130, 614, 616, 618, 623, 630, 702, 703, 747], "errstat": [123, 130, 647, 703, 2008, 2193, 2562, 2585, 2637, 2654], "magnitud": [123, 130, 607, 613, 702, 703, 712, 747, 793, 1438, 1624, 2377, 2421, 2468, 2597], "db": [123, 130, 702, 703, 747], "binary_repr": [124, 127, 128, 129, 725, 751, 817, 2173, 2562, 2573, 2644], "00012": 124, "insuffici": [125, 2562, 2695], "base_repr": [125, 698, 817, 2195], "25x": 125, "s_complement": [125, 725], "0011": 125, "11101": [125, 128], "minlength": [126, 2382, 2578], "histogram": [126, 468, 706, 707, 708, 740, 2187, 2372, 2374, 2377, 2379, 2385, 2386, 2387, 2388, 2391, 2392, 2394, 2399, 2402, 2403, 2404, 2405, 2406, 2407, 2416, 2419, 2421, 2423, 2428, 2429, 2430, 2431, 2433, 2434, 2438, 2440, 2446, 2449, 2450, 2451, 2452, 2453, 2454, 2463, 2466, 2468, 2470, 2475, 2476, 2477, 2478, 2480, 2481, 2486, 2489, 2496, 2499, 2500, 2501, 2502, 2503, 2504, 2513, 2562, 2568, 2569, 2576, 2577, 2586, 2588, 2595, 2596, 2601, 2637, 2643, 2648], "00001101": [127, 128, 129, 725], "00010001": [127, 129], "000000001": 127, "1100": [127, 1628], "00010000": 128, "00011101": 128, "2147483647": [128, 714, 1225, 2673], "xor": [129, 815], "00011100": 129, "11100": 129, "leakag": 130, "wors": [130, 2690], "bartlett": [130, 702, 703, 747], "tukei": [130, 614, 702, 703, 2523], "1958": [130, 702, 703, 2374, 2419, 2466], "saddl": 130, "river": 130, "38777878e": [130, 1759], "26064346e": 130, "59903635e": 130, "14397981e": 130, "36045180e": 130, "67046769e": 130, "assembl": [131, 432, 553, 710, 1075, 1091, 1243, 1252, 1262, 2180, 2214, 2295], "outermost": [131, 427, 1618], "block_arrai": 131, "greatest": [131, 667, 749, 2585, 2654, 2663], "illeg": [131, 2553, 2694], "spelt": [131, 180, 337, 664, 971, 1134, 1298, 1381, 1533, 2041, 2574], "vstack": [131, 429, 432, 553, 710, 791, 1055, 1075, 1091, 1243, 2180, 2210, 2562, 2574, 2641, 2650, 2657, 2661, 2665, 2691, 2692], "hstack": [131, 429, 432, 553, 705, 1055, 1075, 1243, 1262, 2180, 2210, 2295, 2562, 2574, 2641, 2661, 2665, 2691, 2692], "horizont": [131, 432, 466, 553, 632, 644, 706, 709, 710, 1075, 1090, 1091, 1243, 1262, 2178, 2180, 2210, 2295, 2661, 2692], "dstack": [131, 432, 710, 1091, 1243, 1262, 2180, 2210, 2295, 2641, 2692], "column_stack": [131, 151, 432, 553, 710, 1075, 1091, 1243, 1260, 1262, 2180, 2289, 2295, 2641, 2691, 2692], "vsplit": [131, 432, 1243, 1262, 2180, 2210, 2295, 2692], "lie": [131, 1677, 1737, 1794, 1851, 1908, 1965, 2536], "aaabb": 131, "cccdd": 131, "cdddd": 131, "_not_": [131, 662], "cccbb": 131, "ldict": 132, "gdict": 132, "r_": [132, 151, 446, 1438, 1624, 2562, 2691, 2692], "c_": [132, 446, 447, 451, 794, 1691, 1692, 1706, 1707, 1709, 1710, 1751, 1752, 1763, 1764, 1766, 1767, 1808, 1809, 1820, 1821, 1823, 1824, 1865, 1866, 1877, 1878, 1880, 1881, 1922, 1923, 1934, 1935, 1937, 1938, 1977, 1978, 1989, 1990, 1993, 1994, 2017, 2383, 2426, 2473, 2562, 2615, 2691, 2692], "in1": [133, 2680, 2681], "in2": [133, 2680, 2681], "amongst": 133, "broadcast_arrai": [133, 143, 144, 2562, 2563, 2565], "broadcast_shap": [133, 142, 144, 2562], "possess": [133, 138, 180, 337, 786, 971, 1134, 1298, 1381, 1533, 2041, 2561, 2695], "flatit": [135, 196, 353, 755, 756, 1309, 1392, 1462, 1544, 1588, 1589, 1591, 1687, 1698, 1712, 1713, 1747, 1757, 1769, 1770, 1804, 1814, 1826, 1827, 1861, 1871, 1883, 1884, 1918, 1928, 1940, 1941, 1974, 1983, 1995, 1996, 2053, 2628], "writabl": [142, 770, 774, 2169, 2508, 2585, 2597, 2679], "begind": [145, 2641], "enddat": [145, 2641], "weekmask": [145, 146, 147, 726], "busdayc": [145, 146, 726], "seven": [145, 146, 147, 149, 726, 784, 2578], "weekdai": [145, 146, 147, 726], "is_busdai": [145, 146, 147], "260": [145, 1440, 2288, 2619, 2692], "53": [145, 634, 1746, 2263, 2594, 2597, 2683, 2692], "modifiedfollow": 146, "modifiedpreced": [146, 2567], "busday_count": [146, 147, 726, 2641], "februari": 146, "wednesdai": 146, "juli": 147, "bdd": [147, 2223], "index_trick": [151, 427, 1226, 1438, 1624, 2017, 2181], "cclass": 151, "from_": [152, 2562], "i8": [152, 246, 403, 444, 554, 659, 663, 691, 979, 1021, 1023, 1104, 1105, 1106, 1145, 1199, 1201, 1343, 1422, 1573, 2011, 2024, 2082, 2306, 2615, 2626, 2668, 2670, 2671], "s4": [152, 158, 2011, 2684], "150": [152, 458, 2511], "5e100": 152, "u4": [152, 159, 2676, 2684], "cube": [153, 647, 707, 2008, 2562], "lceil": 154, "rceil": 154, "endswith": [156, 157, 160, 317, 439, 440, 805], "infix": [156, 157, 160, 317, 439, 440, 2561], "discontigu": [156, 439, 1044], "a1b2": [158, 159], "1b2a": [158, 159], "b2a1": [158, 159], "2a1b": [158, 159], "fillchar": [159, 172, 214, 236, 293, 303, 329, 371, 393], "u9": 159, "displac": [160, 317], "charar": [160, 317], "arr_t": [168, 325, 960, 1122, 1289, 1372, 1524, 2032], "complexwarn": [168, 325, 960, 1122, 1289, 1372, 1524, 2032, 2647], "toggl": [170, 327, 962, 1125, 1291, 1374, 1526, 2034, 2536, 2609], "8755": [170, 327, 962, 1125, 1291, 1374, 1526, 2034], "0x2233": [170, 327, 962, 1125, 1291, 1374, 1526, 2034], "13090": [170, 327, 962, 1125, 1291, 1374, 1526, 2034], "0x3322": [170, 327, 962, 1125, 1291, 1374, 1526, 2034], "ceg": [170, 327, 962, 1125, 1291, 1374, 1526, 2034], "fac": [170, 327, 962, 1125, 1291, 1374, 1526, 2034], "newbyteord": [170, 327, 443, 655, 658, 962, 1084, 1125, 1291, 1374, 1526, 2034, 2676], "copyto": [178, 335, 611, 969, 1063, 1132, 1297, 1380, 1532, 1633, 2015, 2040], "ctypeslib": [180, 337, 971, 1134, 1298, 1381, 1533, 2041, 2301, 2513, 2562, 2615, 2680], "undocu": [180, 337, 575, 971, 1134, 1298, 1381, 1533, 2041, 2578, 2585, 2597, 2657], "_ctype": [180, 337, 971, 1134, 1298, 1381, 1533, 2041, 2596, 2601, 2619], "_array_interface_": [180, 337, 971, 1134, 1298, 1381, 1533, 2041], "data_a": [180, 337, 971, 1134, 1298, 1381, 1533, 2041, 2680, 2690], "c_void_p": [180, 337, 971, 1134, 1298, 1381, 1533, 2041, 2680], "c_intp": [180, 337, 971, 1134, 1298, 1381, 1533, 2041, 2513, 2518, 2560, 2562, 2680], "basetyp": [180, 337, 971, 1134, 1298, 1381, 1533, 2041], "c_long": [180, 337, 971, 1134, 1298, 1381, 1533, 2041, 2518], "c_longlong": [180, 337, 971, 1134, 1298, 1381, 1533, 2041, 2518], "_as_parameter_": [180, 337, 971, 1134, 1298, 1381, 1533, 2041, 2619, 2680], "c_doubl": [180, 337, 971, 1134, 1298, 1381, 1533, 2041, 2518], "shape_a": [180, 337, 971, 1134, 1298, 1381, 1533, 2041, 2680, 2690], "c_short": [180, 337, 971, 1134, 1298, 1381, 1533, 2041], "strides_a": [180, 337, 971, 1134, 1298, 1381, 1533, 2041, 2680, 2690], "as_paramet": [180, 337, 971, 1134, 1298, 1381, 1533, 2041], "31962608": [180, 337, 971, 1134, 1298, 1381, 1533, 2041], "c_uint32": [180, 337, 971, 1134, 1298, 1381, 1533, 2041], "lp_c_uint": [180, 337, 971, 1134, 1298, 1381, 1533, 2041], "0x7ff2fc1fc200": [180, 337, 971, 1134, 1298, 1381, 1533, 2041], "c_uint": [180, 337, 971, 1134, 1298, 1381, 1533, 2041], "c_uint64": [180, 337, 971, 1134, 1298, 1381, 1533, 2041], "c_ulong": [180, 337, 971, 1134, 1298, 1381, 1533, 2041], "4294967296": [180, 337, 971, 1134, 1298, 1381, 1533, 2041], "_intern": [180, 337, 971, 1134, 1298, 1381, 1533, 2041], "c_long_array_2": [180, 337, 971, 1134, 1298, 1381, 1533, 2041], "0x7ff2fc1fce60": [180, 337, 971, 1134, 1298, 1381, 1533, 2041], "0x7ff2fc1ff320": [180, 337, 971, 1134, 1298, 1381, 1533, 2041], "tabsiz": [192, 276, 349], "unpack": [193, 350, 691, 805, 978, 1143, 1307, 1390, 1542, 1628, 2051, 2286, 2362, 2562, 2597], "setflag": [195, 352, 980, 1146, 1308, 1391, 1543, 2052, 2643], "fnc": [195, 352, 980, 1146, 1308, 1391, 1543, 2052], "carrai": [195, 352, 980, 1146, 1308, 1391, 1543, 2052, 2579], "farrai": [195, 352, 980, 1146, 1308, 1391, 1543, 2052, 2557], "fa": [195, 352, 980, 1146, 1308, 1391, 1543, 2052], "70710678": [199, 229, 356, 386, 786, 1317, 1333, 1396, 1412, 1547, 1563, 2056, 2072, 2203], "alphanumer": [201, 281, 358], "titlecas": [208, 258, 288, 365, 415], "int_typ": [210, 367, 714, 988, 1158, 1318, 1397, 1548, 2057], "seed": 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2300, 2574, 2694], "tool": [3, 20, 37, 2667, 2680, 2684], "find": [3, 194, 277, 351, 2525, 2529, 2530, 2680], "c": [3, 15, 19, 20, 36, 54, 63, 64, 65, 66, 68, 71, 1637, 2303, 2353, 2518, 2552, 2559, 2563, 2568, 2572, 2574, 2578, 2585, 2590, 2594, 2597, 2603, 2609, 2615, 2619, 2626, 2631, 2641, 2644, 2645, 2646, 2648, 2651, 2654, 2655, 2657, 2660, 2677, 2678, 2690, 2694], "error": [3, 2522, 2572, 2574, 2590, 2603, 2615, 2619, 2637, 2641, 2648, 2673, 2674], "addit": [3, 5, 11, 2590, 2619, 2654, 2680], "python": [3, 20, 35, 36, 37, 39, 54, 59, 68, 73, 2558, 2559, 2563, 2574, 2578, 2585, 2609, 2615, 2626, 2637, 2645, 2647, 2657, 2661, 2665, 2671, 2672, 2680, 2694], "us": [3, 4, 23, 24, 25, 27, 28, 35, 36, 37, 56, 59, 61, 68, 73, 2300, 2306, 2536, 2551, 2552, 2557, 2559, 2563, 2568, 2574, 2578, 2585, 2592, 2597, 2609, 2615, 2619, 2626, 2631, 2641, 2646, 2654, 2657, 2661, 2665, 2668, 2670, 2672, 2674, 2677, 2680, 2684, 2691, 2694, 2695], "togeth": [3, 2578, 2692], "pytest": [3, 2585], 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"mail": [5, 20], "list": [5, 20, 2585, 2609, 2661], "opinion": 5, "ask": [5, 2682], "chang": [5, 21, 48, 2515, 2529, 2563, 2565, 2568, 2572, 2574, 2578, 2585, 2590, 2591, 2593, 2594, 2597, 2603, 2609, 2615, 2619, 2626, 2631, 2637, 2641, 2644, 2645, 2646, 2647, 2648, 2650, 2651, 2654, 2655, 2657, 2660, 2676, 2692], "merg": [5, 6, 2565, 2567, 2569, 2570, 2571, 2575, 2576, 2577, 2579, 2580, 2581, 2582, 2583, 2584, 2586, 2587, 2588, 2589, 2590, 2592, 2594, 2595, 2596, 2598, 2599, 2600, 2601, 2602, 2604, 2605, 2606, 2607, 2608, 2610, 2611, 2612, 2613, 2614, 2616, 2617, 2618, 2620, 2621, 2622, 2623, 2624, 2627, 2628, 2629, 2630, 2632, 2633, 2634, 2635, 2636, 2638, 2639, 2640, 2642, 2643, 2644], "repo": [5, 7], "pr": [5, 20, 2565, 2567], "review": [5, 21], "rebas": 5, "recov": 5, "from": [5, 59, 67, 71, 73, 2514, 2529, 2534, 2559, 2560, 2563, 2568, 2578, 2590, 2603, 2609, 2615, 2619, 2626, 2631, 2641, 2657, 2661, 2665, 2671, 2672, 2675, 2680, 2684, 2694], "mess": 5, "thing": [5, 2682], "you": [5, 2661, 2680], "might": 5, "want": [5, 2552], "do": [5, 2552, 2574, 2585, 2597, 2615, 2661], "rewrit": 5, "histori": [5, 13], "delet": [5, 459, 2609], "github": [5, 7, 20, 21], "sever": [5, 2527, 2631, 2692], "peopl": 5, "share": [5, 2680], "singl": [5, 56, 2568, 2572, 2590, 2594, 2597, 2619, 2631, 2667], "repositori": 5, "checkout": 5, "an": [5, 55, 56, 61, 2305, 2306, 2563, 2568, 2572, 2578, 2585, 2597, 2609, 2615, 2626, 2641, 2661, 2671, 2672, 2679, 2682, 2684, 2692], "exist": [5, 77, 2514, 2529, 2597, 2603, 2661, 2665, 2672], "pull": [5, 20, 2570, 2571, 2575, 2576, 2577, 2579, 2580, 2581, 2582, 2583, 2584, 2586, 2587, 2588, 2589, 2592, 2594, 2595, 2596, 2598, 2599, 2600, 2601, 2602, 2604, 2605, 2606, 2607, 2608, 2610, 2611, 2612, 2613, 2614, 2616, 2617, 2618, 2620, 2621, 2622, 2623, 2624, 2627, 2628, 2629, 2630, 2632, 2633, 2634, 2635, 2636, 2638, 2639, 2640, 2642, 2643, 2644], "request": [5, 20, 2553, 2570, 2571, 2575, 2576, 2577, 2579, 2580, 2581, 2582, 2583, 2584, 2586, 2587, 2588, 2589, 2592, 2594, 2595, 2596, 2598, 2599, 2600, 2601, 2602, 2604, 2605, 2606, 2607, 2608, 2610, 2611, 2612, 2613, 2614, 2616, 2617, 2618, 2620, 2621, 2622, 2623, 2624, 2627, 2628, 2629, 2630, 2632, 2633, 2634, 2635, 2636, 2638, 2639, 2640, 2642, 2643, 2644], "explor": 5, "backport": [5, 20], "push": 5, "git": [6, 7, 10, 11, 12], "configur": [6, 60, 62, 71, 73, 2541, 2553, 2603, 2619, 2626, 2645], "user": [6, 15, 23, 32, 34, 59, 73, 2572, 2578, 2597, 2615, 2678, 2688, 2691], "name": [6, 48, 64, 73, 576, 577, 2585, 2597, 2603, 2615, 2657, 2670], "email": 6, "alias": [6, 58, 2615], "editor": 6, "instal": [7, 10, 39, 71, 2661, 2675, 2686, 2689], "creat": [7, 29, 59, 2514, 2520, 2529, 2559, 2574, 2641, 2661, 2665, 2672, 2678, 2679, 2681, 2683, 2685], "account": 7, "fork": 7, "local": [7, 9, 2552], "copi": [7, 9, 178, 335, 436, 641, 779, 833, 969, 1063, 1132, 1297, 1380, 1532, 1593, 1660, 1721, 1778, 1835, 1892, 1949, 2040, 2113, 2305, 2505, 2578, 2585, 2590, 2609, 2637, 2664, 2692], "look": 7, "over": [7, 53, 56, 2578, 2585, 2678], "ssh": 7, "kei": [7, 2641, 2691], "avoid": 7, "password": 7, "two": [8, 2591, 2597], "three": [8, 33], "dot": [8, 186, 343, 551, 1074, 1139, 1303, 1386, 1538, 2046, 2568, 2641, 2647], "differ": [8, 48, 54, 2509, 2511, 2530, 2552, 2560, 2590, 2591, 2596, 2597, 2603, 2631, 2637, 2661, 2691, 2692], "spec": 8, "updat": [9, 20, 2585, 2590, 2644], "resourc": 11, "tutori": [11, 15, 2682], "summari": [11, 13, 17, 2557, 2615], "manual": [11, 30, 34], "page": [11, 15, 2682], "onlin": 11, "project": 13, "govern": [13, 14], "decis": 13, "consensu": 13, "base": [13, 169, 326, 563, 639, 676, 826, 961, 1123, 1290, 1373, 1525, 2033, 2106, 2351, 2526, 2563, 2590, 2597, 2626, 2641, 2657, 2672], "commun": [13, 21], "steer": 13, "council": 13, "membership": [13, 2641], "conflict": [13, 2609], "interest": 13, "privat": [13, 2585], "subcommitte": 13, "numfocu": 13, "institut": 13, "partner": 13, "fund": 13, "document": [13, 15, 20, 22, 45, 2534, 2559, 2593, 2597, 2626, 2645], "acknowledg": [13, 2301], "licens": [13, 46], "how": [15, 20, 2553, 2661, 2664, 2679, 2682, 2683, 2685, 2687, 2690], "contribut": [15, 17], "team": 15, "meet": 15, "what": [15, 20, 62, 2306, 2509, 2661, 2695], "need": [15, 2574, 2578], "fix": [15, 17, 637, 2565, 2567, 2569, 2572, 2573, 2574, 2590, 2596, 2609, 2641, 2649, 2650, 2652, 2653, 2654, 2655, 2656, 2658, 2659, 2686], "framework": [15, 2619], "indirectli": 15, "style": [15, 2568, 2578, 2615, 2626], "docstr": [15, 2590, 2661], "1": [15, 20, 37, 59, 760, 2553, 2563, 2564, 2565, 2566, 2567, 2568, 2569, 2570, 2571, 2572, 2573, 2574, 2575, 2576, 2577, 2578, 2579, 2580, 2581, 2582, 2583, 2584, 2585, 2586, 2587, 2588, 2589, 2590, 2591, 2592, 2593, 2594, 2595, 2596, 2597, 2598, 2599, 2600, 2601, 2602, 2603, 2604, 2605, 2606, 2607, 2608, 2609, 2610, 2611, 2612, 2613, 2614, 2615, 2616, 2617, 2618, 2619, 2620, 2621, 2622, 2623, 2624, 2625, 2626, 2627, 2628, 2629, 2630, 2631, 2632, 2633, 2634, 2635, 2636, 2637, 2638, 2639, 2640, 2641, 2642, 2643, 2644, 2645, 2646, 2647, 2648, 2649, 2650, 2651, 2652, 2653, 2654, 2655, 2656, 2657, 2658, 2659, 2660, 2665, 2668, 2686], "comment": [15, 2626, 2670], "block": [15, 35, 36, 131, 2574, 2590, 2619, 2626], "common": [15, 35, 36, 2557, 2665], "doxygen": 15, "tag": 15, "exampl": [15, 25, 29, 31, 51, 52, 54, 55, 56, 57, 62, 67, 73, 2306, 2362, 2523, 2557, 2560, 2619, 2661, 2663, 2668, 2672, 2679, 2680, 2681, 2682, 2685, 2690, 2692], "2": [15, 20, 37, 54, 59, 760, 2553, 2565, 2570, 2574, 2576, 2580, 2585, 2587, 2592, 2599, 2603, 2605, 2611, 2617, 2621, 2628, 2633, 2639, 2643, 2645, 2650, 2653, 2656, 2659, 2665, 2668, 2686], "feed": 15, "3": [15, 20, 37, 760, 2553, 2563, 2566, 2571, 2574, 2577, 2578, 2581, 2588, 2593, 2597, 2600, 2606, 2611, 2612, 2615, 2618, 2622, 2626, 2629, 2634, 2640, 2645, 2647, 2665, 2668], "inclus": 15, "direct": [15, 20, 29, 36, 60, 2682], "read": [15, 29, 2525, 2563, 2578, 2590, 2631, 2661, 2665, 2668, 2683, 2684, 2692], "refer": [16, 30, 34, 64, 2301, 2523, 2534, 2535, 2590, 2626, 2679], "doc": [16, 17, 20, 2657], "prerequisit": [16, 2675, 2692], "submodul": 16, "instruct": 16, "process": [17, 20], "diverg": 17, "between": [17, 48, 2661, 2673], "upstream": 17, "guidelin": [17, 21, 2548, 2559], "stylist": 17, "coverag": 17, "warn": [17, 2300, 2532, 2542, 2544, 2563, 2572, 2574, 2590, 2597, 2603, 2645, 2647, 2654, 2668], "intern": [18, 55, 59, 68, 2302, 2522, 2563, 2645, 2646, 2674], "organ": [18, 2558], "arrai": [18, 19, 35, 48, 49, 50, 53, 54, 55, 56, 59, 67, 105, 156, 439, 441, 1044, 2304, 2305, 2306, 2514, 2515, 2528, 2529, 2532, 2533, 2557, 2560, 2563, 2568, 2572, 2574, 2578, 2585, 2590, 2591, 2594, 2596, 2597, 2603, 2609, 2615, 2619, 2626, 2637, 2641, 2644, 2645, 2646, 2648, 2651, 2654, 2657, 2661, 2663, 2664, 2665, 2666, 2667, 2668, 2671, 2672, 2673, 2678, 2679, 2681, 2684, 2685, 2691, 2692, 2693], "multidimension": [18, 2585, 2661], "index": [18, 19, 48, 53, 55, 56, 58, 67, 134, 200, 280, 357, 642, 1601, 2306, 2574, 2578, 2585, 2597, 2615, 2654, 2657, 2661, 2664, 2667, 2671, 2683, 2692], "order": [18, 56, 1644, 2547, 2565, 2568, 2572, 2578, 2597, 2603, 2615, 2676], "issu": [18, 2552, 2565, 2567, 2645, 2649, 2650, 2652, 2653, 2655, 2656, 2658, 2659], "explan": [19, 2303], "model": [19, 2619, 2626], "data": [19, 35, 52, 53, 55, 56, 59, 60, 64, 67, 183, 340, 678, 836, 1137, 1301, 1384, 1536, 2044, 2116, 2300, 2306, 2505, 2507, 2514, 2520, 2526, 2529, 2551, 2559, 2568, 2572, 2574, 2578, 2585, 2603, 2615, 2641, 2661, 2670, 2671, 2673, 2676, 2678], "type": [19, 35, 36, 48, 52, 54, 55, 56, 58, 59, 60, 64, 67, 68, 69, 584, 2283, 2518, 2520, 2523, 2528, 2557, 2560, 2563, 2568, 2574, 2578, 2585, 2590, 2596, 2597, 2603, 2609, 2615, 2619, 2626, 2631, 2637, 2641, 2648, 2657, 2670, 2671, 2673, 2674, 2676, 2678], "encapsul": 19, "n": [19, 50, 55, 2526, 2651], "d": [19, 2578], "iter": [19, 50, 53, 56, 59, 67, 135, 745, 2615, 2646, 2648, 2667, 2678, 2692], "broadcast": [19, 50, 56, 59, 133, 134, 135, 136, 137, 138, 139, 140, 141, 2563, 2568, 2657, 2661, 2663, 2674, 2678, 2692, 2693], "scalar": [19, 35, 58, 59, 2557, 2574, 2578, 2585, 2590, 2597, 2603, 2609, 2615, 2631, 2637, 2641, 2657, 2671, 2673], "univers": [19, 65, 2561, 2619, 2674, 2681, 2692], "function": [19, 23, 35, 48, 51, 55, 59, 61, 65, 67, 69, 73, 2507, 2518, 2519, 2521, 2522, 2524, 2525, 2528, 2530, 2532, 2535, 2537, 2538, 2539, 2540, 2543, 2544, 2549, 2550, 2557, 2559, 2561, 2563, 2572, 2574, 2578, 2585, 2590, 2596, 2597, 2603, 2609, 2615, 2619, 2626, 2631, 2637, 2641, 2646, 2647, 2648, 2651, 2654, 2657, 2660, 2665, 2670, 2671, 2672, 2674, 2678, 2679, 2680, 2681, 2692], "call": [19, 35, 2568, 2572, 2578, 2597, 2641, 2680], "One": 19, "loop": [19, 56, 57, 2603, 2609, 2626, 2678], "stride": [19, 252, 409, 690, 874, 1015, 1193, 1346, 1425, 1576, 2085, 2155, 2300, 2563, 2565, 2572, 2574, 2597, 2609, 2667], "buffer": [19, 56, 59, 2590, 2597, 2609, 2615, 2665, 2674], "final": [19, 2557], "output": [19, 56, 2516, 2526, 2557, 2574, 2603, 2609, 2615, 2619, 2626, 2631, 2657, 2674, 2684], "manipul": [19, 48, 55, 59, 61, 2305, 2515, 2529, 2572, 2671, 2692], "method": [19, 48, 50, 52, 55, 58, 59, 73, 2305, 2559, 2561, 2563, 2572, 2574, 2585, 2590, 2597, 2603, 2609, 2615, 2619, 2626, 2647, 2657, 2668, 2672, 2674, 2678, 2692], "reduc": [19, 2279, 2574, 2578, 2585, 2597, 2655, 2657], "accumul": [19, 2271, 2585], "reduceat": [19, 2280], "prepar": 20, "current": 20, "info": [20, 720], "support": [20, 39, 59, 2347, 2519, 2548, 2549, 2552, 2563, 2568, 2572, 2574, 2578, 2585, 2590, 2591, 2597, 2603, 2609, 2615, 2626, 2631, 2637, 2641, 2644, 2645, 2646, 2648, 2651, 2654, 2657, 2686], "platform": [20, 60, 2552, 2585, 2609, 2615, 2619, 2626], "chain": [20, 2590], "compil": [20, 29, 60, 73, 2552, 2563, 2578, 2585, 2590, 2603, 2615, 2641, 2646, 2675, 2680], "openbla": [20, 2603, 2626, 2654], "sourc": [20, 29, 73, 2208, 2506, 2526, 2553, 2558, 2646, 2675], "archiv": 20, "upload": 20, "pypi": [20, 2578], "gener": [20, 23, 27, 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2594, 2597, 2603, 2609, 2615, 2619, 2626, 2631, 2637, 2641, 2645, 2646, 2648, 2651, 2654, 2655, 2657, 2660], "number": [20, 64, 760, 1622, 2300, 2510, 2515, 2527, 2529, 2530, 2560, 2568, 2597, 2603, 2619, 2626, 2641, 2654, 2657, 2661, 2667], "note": [20, 52, 759, 760, 2535, 2557, 2562, 2563, 2564, 2565, 2566, 2567, 2568, 2569, 2570, 2571, 2572, 2573, 2574, 2575, 2576, 2577, 2578, 2579, 2580, 2581, 2582, 2583, 2584, 2585, 2586, 2587, 2588, 2589, 2590, 2591, 2592, 2593, 2594, 2595, 2596, 2597, 2598, 2599, 2600, 2601, 2602, 2603, 2604, 2605, 2606, 2607, 2608, 2609, 2610, 2611, 2612, 2613, 2614, 2615, 2616, 2617, 2618, 2619, 2620, 2621, 2622, 2623, 2624, 2625, 2626, 2627, 2628, 2629, 2630, 2631, 2632, 2633, 2634, 2635, 2636, 2637, 2638, 2639, 2640, 2641, 2642, 2643, 2644, 2645, 2646, 2647, 2648, 2649, 2650, 2651, 2652, 2653, 2654, 2655, 2656, 2657, 2658, 2659, 2660, 2667, 2691], "step": [20, 2682], "facil": [20, 2637], "add": [20, 81, 155, 2603, 2611, 2615, 2619, 2626, 2631, 2641, 2661], "drop": [20, 2563, 2572, 2641, 2654, 2657], "changelog": 20, "finish": [20, 1597], "pavement": 20, "py": [20, 73, 2559, 2572, 2578, 2615, 2654], "file": [20, 36, 37, 50, 71, 73, 760, 2526, 2557, 2558, 2578, 2597, 2603, 2609, 2615, 2626, 2631, 2641, 2654, 2684], "walkthrough": [20, 24, 27, 28, 29], "via": [20, 24, 25, 27, 28, 2355, 2358, 2360, 2361, 2609, 2615, 2619, 2626, 2654], "cibuildwheel": 20, "prefer": 20, "download": 20, "4": [20, 2553, 2567, 2582, 2589, 2594, 2601, 2607, 2613, 2623, 2630, 2635, 2646, 2665, 2686], "readm": 20, "5": [20, 2553, 2563, 2583, 2595, 2602, 2608, 2614, 2624, 2636, 2647, 2665, 2686], "reset": [20, 139, 1614], "mainten": [20, 2571], "state": [20, 2300, 2315, 2319, 2324, 2329, 2334, 2337, 2346, 2348, 2349, 2350, 2351, 2352, 2507, 2510, 2657], "prereleas": 20, "6": [20, 2574, 2584, 2596, 2625, 2637, 2645, 2648, 2649, 2650, 2665], "7": [20, 2626, 2651, 2652, 2653], "8": [20, 2654, 2655, 2656], "org": 20, "9": [20, 2657, 2658, 2659], "announc": 20, "10": [20, 2563, 2564, 2565, 2566, 2567], "11": [20, 2568, 2569, 2570, 2571], "post": 20, "task": 20, "12": [20, 2572, 2573, 2644], "oldest": 20, "further": [20, 2591, 2597, 2615, 2668, 2683, 2692], "who": [21, 2297, 2695], "can": [21, 64, 2563, 2568, 2572, 2574, 2578, 2585, 2597, 2603, 2609, 2615, 2626, 2637, 2641, 2661], "checklist": 21, "maintain": [21, 2631], "standard": [21, 48, 50, 2523, 2626, 2641, 2665], "repli": 21, "under": [22, 2585, 2597], "hood": [22, 2597], "f2py": [23, 26, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 2574, 2578, 2590, 2603, 2615, 2619, 2631, 2637, 2644, 2648, 2650, 2680], "case": [23, 2552, 2572, 2574, 2641, 2657], "defin": [23, 58, 59, 64, 68, 73, 2578, 2597, 2615, 2641, 2645, 2646, 2670, 2678, 2679], "modul": [23, 28, 29, 35, 36, 37, 71, 73, 2305, 2306, 2585, 2590, 2597, 2603, 2615, 2626, 2657, 2679], "deal": [23, 59, 2667, 2679], "kind": [23, 574, 2515, 2585, 2615], "specifi": [23, 52, 73, 2615, 2641, 2684], "charact": [23, 50, 2514, 2631, 2637], "string": [23, 35, 52, 2517, 2526, 2563, 2572, 2574, 2578, 2590, 2609, 2615, 2626, 2637, 2641, 2657, 2665, 2692], "assum": [23, 2597, 2648], "length": [23, 2578], "cmake": [24, 28, 74], "fibonacci": [24, 27, 28], "f77": [24, 27, 28], "distutil": [25, 71, 72, 73, 74, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 2563, 2568, 2572, 2578, 2597, 2603, 2609, 2615, 2619, 2626, 2648, 2650, 2655, 2657], "extens": [25, 29, 36, 37, 61, 535, 536, 537, 760, 2574, 2590, 2597, 2637, 2679, 2681], "system": [26, 60, 2511, 2563, 2568, 2572, 2574, 2585, 2644, 2651, 2657], "concept": [26, 2506], "meson": [27, 74, 2359, 2641, 2644, 2675], "autom": [27, 2572], "wrapper": [27, 2680], "salient": 27, "point": [27, 58, 61, 64, 2522, 2530, 2574, 2590, 2597, 2619, 2626, 2637, 2648, 2690], "scikit": [28, 74], "onli": [28, 2306, 2578, 2590, 2615, 2631, 2654], "setuptool": [28, 74], "replac": [28, 231, 300, 388, 2597, 2683], "improv": [29, 2563, 2568, 2572, 2574, 2578, 2585, 2590, 2591, 2593, 2596, 2597, 2603, 2609, 2611, 2615, 2619, 2626, 2631, 2637, 2641, 2644, 2645, 2646, 2654, 2657, 2660], "interfac": [29, 54, 55, 2518, 2557, 2558, 2619, 2668, 2690], "insert": [29, 53, 722, 2609], "fortran": [29, 35, 36, 40, 42, 73, 2565, 2568, 2619, 2626, 2637, 2648, 2690], "A": [29, 1278, 2557, 2568, 2590, 2603, 2619, 2626, 2663, 2672, 2682], "filter": [29, 2252, 2680, 2683], "keyword": [29, 48, 2561, 2563, 2572, 2585, 2590, 2597, 2603, 2615, 2637, 2657, 2679], "suit": 31, "guid": [32, 34, 73, 2534, 2688], "wai": 33, "wrap": [33, 2594, 2597, 2641, 2646], "quick": [33, 2506, 2534, 2552], "smart": 33, "bind": [35, 2644], "object": [35, 48, 49, 50, 52, 59, 2529, 2544, 2563, 2568, 2572, 2574, 2578, 2585, 2590, 2596, 2597, 2609, 2615, 2626, 2631, 2637, 2641, 2657, 2661, 2668, 2671, 2672, 2679], "argument": [35, 48, 55, 2561, 2563, 2568, 2572, 2574, 2578, 2585, 2590, 2597, 2603, 2609, 2615, 2619, 2626, 2637, 2641, 2651, 2654, 2657, 2670, 2679, 2680, 2681], "back": [35, 2684], "resolv": 35, "90": 35, "allocat": 35, "signatur": [36, 37, 65, 2282, 2563, 2572, 2590, 2619, 2631], "syntax": [36, 2574], "routin": [36, 53, 62, 2513, 2514, 2515, 2520, 2523, 2530, 2532, 2545, 2557], "declar": [36, 2611, 2615], "statement": [36, 2553, 2631], "attribut": [36, 50, 52, 55, 58, 73, 2305, 2561, 2572, 2574, 2590, 2597, 2615, 2619, 2626, 2631, 2637, 2672, 2678], "express": 36, "multi": [36, 56, 59, 67, 2590, 2615, 2651], "line": [36, 37, 2559, 2615, 2670], "extend": [36, 2348, 2349, 2350, 2351, 2352, 2355, 2356, 2358, 2360, 2361, 2362, 2585, 2590, 2619, 2646, 2673, 2679], "char": [36, 50, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 565, 2514, 2641], "selector": 36, "construct": [37, 52, 55, 67, 2306], "automat": [37, 2521, 2609, 2646, 2671, 2692], "conda": [38, 2694], "window": [38, 39, 40, 41, 42, 1681, 1741, 1798, 1855, 1912, 1969, 2511, 2550, 2578, 2590, 2615, 2626, 2645, 2694], "baselin": 39, "matrix": [39, 50, 55, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 2514, 2527, 2531, 2574, 2590, 2615, 2641, 2661, 2691], "ex": 39, "impli": 39, "powershel": 39, "msvc": [39, 2578], "store": 39, "path": [39, 2572, 2590, 2619, 2626], "intel": [40, 2552], "msys2": 41, "pgi": [42, 2578], "glossari": 44, "compat": [48, 2354, 2563, 2565, 2567, 2568, 2572, 2574, 2578, 2585, 2586, 2587, 2588, 2589, 2590, 2591, 2592, 2593, 2594, 2596, 2597, 2600, 2603, 2609, 2615, 2619, 2626, 2631, 2637, 2641, 2647, 2651, 2654, 2657, 2660, 2672], "tabl": 48, "array_api": [48, 2644], "instead": [48, 2568, 2578, 2585, 2590, 2615], "linalg": [48, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 2527, 2568, 2574, 2578, 2585, 2590, 2597, 2609, 2626, 2631, 2641, 2647], "namespac": [48, 2568, 2626, 2641], "renam": [48, 2578, 2585], "promot": [48, 2523, 2609, 2615, 2631, 2671], "strict": [48, 2619, 2626, 2637, 2641], "elementwis": [48, 2516], "creation": [48, 2514, 2529, 2541, 2572, 2619, 2665, 2671, 2672, 2692], "linear": [48, 2300, 2527, 2654, 2691], "algebra": [48, 2300, 2527, 2529, 2654, 2691], "statist": [48, 2547], "subclass": [50, 2568, 2572, 2574, 2590, 2619, 2631, 2672], "special": [50, 55, 59, 2305, 2530, 2552, 2574, 2597, 2657, 2665, 2690], "map": [50, 59, 2526, 2585], "record": [50, 441, 442, 443, 444, 445, 2098, 2099, 2100, 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, 2125, 2126, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2157, 2158, 2159, 2160, 2161, 2162, 2163, 2164, 2165, 2166, 2253, 2514, 2560, 2615, 2671], "rec": [50, 2514, 2609], "mask": [50, 1161, 2304, 2305, 2306, 2529, 2563, 2568, 2572, 2574, 2578, 2585, 2597, 2626, 2637, 2641, 2645, 2684], "ma": [50, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 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777, 778, 779, 780, 781, 2563, 2615, 2666, 2671], "class": [50, 71, 2305, 2514, 2517, 2532, 2535, 2536, 2537, 2538, 2539, 2540, 2541, 2543, 2563, 2568, 2572, 2574, 2578, 2590, 2615, 2619, 2626, 2637, 2641, 2657], "default": [50, 59, 2563, 2565, 2572, 2574, 2578, 2585, 2615, 2619, 2641, 2648], "flat": [50, 196, 353, 681, 756, 843, 981, 1147, 1309, 1392, 1544, 2053, 2123, 2578, 2667], "dimension": [50, 55, 2651, 2667], "enumer": [50, 59, 64], "datetim": [51, 2519, 2574, 2585, 2609, 2651], "timedelta": [51, 2574, 2615], "datetime64": [51, 2568, 2597, 2603], "convent": 51, "assumpt": 51, "arithmet": [51, 55, 2305, 2529, 2530, 2535, 2537, 2538, 2539, 2540, 2542, 2543], "unit": 51, "busi": [51, 2519], "dai": [51, 2519], "np": [51, 62, 2563, 2568, 2572, 2574, 2578, 2585, 2590, 2591, 2603, 2609, 2615, 2619, 2626, 2631, 2637, 2641, 2654, 2655, 2657], "is_busdai": [51, 726], "busday_count": [51, 145], "custom": [51, 2626, 2641, 2644, 2651, 2665, 2666, 2672, 2691], "weekmask": [51, 149], "shortcom": 51, "dtype": [52, 187, 344, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 679, 838, 975, 1140, 1304, 1387, 1539, 1595, 2047, 2118, 2532, 2560, 2563, 2568, 2572, 2574, 2578, 2585, 2597, 2603, 2609, 2615, 2619, 2626, 2631, 2637, 2641, 2657, 2676, 2681], "like": [53, 59, 2515, 2532, 2572, 2590, 2609, 2615, 2619, 2626, 2641], "oper": [53, 55, 2305, 2306, 2511, 2515, 2516, 2517, 2527, 2528, 2529, 2530, 2545, 2561, 2563, 2568, 2572, 2574, 2585, 2590, 2591, 2596, 2597, 2615, 2631, 2637, 2646, 2654, 2661, 2664, 2668, 2692], "protocol": [54, 2597, 2609, 2637, 2668], "side": 54, "struct": 54, "access": [54, 56, 59, 2306, 2505, 2529, 2609, 2615, 2631, 2661, 2667, 2671, 2679, 2683], "sinc": [54, 2204], "june": 54, "16": [54, 2578, 2590, 2591, 2592, 2593, 2594, 2595, 2596, 2648], "2006": 54, "descript": [54, 2526, 2552, 2597], "ndarrai": [55, 1462, 1463, 1464, 1465, 1466, 1467, 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"array-broadcasting-in-numpy"]], "Subclassing ndarray": [[2672, "subclassing-ndarray"]], "Introduction": [[2672, "introduction"], [2691, "introduction"], [2665, "introduction"], [2671, "introduction"], [2558, "introduction"], [2557, "introduction"], [2559, "introduction"]], "ndarrays and object creation": [[2672, "ndarrays-and-object-creation"]], "When to use subclassing": [[2672, "when-to-use-subclassing"]], "View casting": [[2672, "view-casting"]], "Creating new from template": [[2672, "creating-new-from-template"]], "Relationship of view casting and new-from-template": [[2672, "relationship-of-view-casting-and-new-from-template"]], "Implications for subclassing": [[2672, "implications-for-subclassing"]], "A brief Python primer on __new__ and __init__": [[2672, "a-brief-python-primer-on-new-and-init"]], "The role of __array_finalize__": [[2672, "the-role-of-array-finalize"]], "Simple example - adding an extra attribute to ndarray": [[2672, "simple-example-adding-an-extra-attribute-to-ndarray"]], "Slightly more realistic example - attribute added to existing array": [[2672, "slightly-more-realistic-example-attribute-added-to-existing-array"]], "__array_ufunc__ for ufuncs": [[2672, "array-ufunc-for-ufuncs"]], "__array_wrap__ for ufuncs and other functions": [[2672, "array-wrap-for-ufuncs-and-other-functions"]], "Extra gotchas - custom __del__ methods and ndarray.base": [[2672, "extra-gotchas-custom-del-methods-and-ndarray-base"]], "Subclassing and Downstream Compatibility": [[2672, "subclassing-and-downstream-compatibility"]], "How to write a NumPy how-to": [[2682, "how-to-write-a-numpy-how-to"]], "A stranger has asked for directions\u2026": [[2682, "a-stranger-has-asked-for-directions"]], "Give a brief but explicit answer": [[2682, "give-a-brief-but-explicit-answer"]], "Delegate": [[2682, "delegate"]], "If the question is broad, narrow and redirect it": [[2682, "if-the-question-is-broad-narrow-and-redirect-it"]], "If there are many steps, break them up": [[2682, "if-there-are-many-steps-break-them-up"]], "Why write how-tos when there\u2019s Stack Overflow, Reddit, Gitter\u2026?": [[2682, "why-write-how-tos-when-there-s-stack-overflow-reddit-gitter"]], "Aren\u2019t how-tos and tutorials the same thing?": [[2682, "aren-t-how-tos-and-tutorials-the-same-thing"]], "Is this page an example of a how-to?": [[2682, "is-this-page-an-example-of-a-how-to"]], "How to index ndarrays": [[2683, "how-to-index-ndarrays"]], "Access specific/arbitrary rows and columns": [[2683, "access-specific-arbitrary-rows-and-columns"]], "Index columns": [[2683, "index-columns"]], "Index along a specific axis": [[2683, "index-along-a-specific-axis"]], "Create subsets of larger matrices": [[2683, "create-subsets-of-larger-matrices"]], "Filter values": [[2683, "filter-values"]], "Non-zero elements": [[2683, "non-zero-elements"]], "Arbitrary conditions": [[2683, "arbitrary-conditions"]], "Replace values after filtering": [[2683, 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[2657, "compatibility-notes"], [2654, "compatibility-notes"], [2631, "compatibility-notes"], [2641, "compatibility-notes"], [2660, "compatibility-notes"], [2619, "compatibility-notes"], [2574, "compatibility-notes"], [2596, "compatibility-notes"], [2590, "compatibility-notes"], [2578, "compatibility-notes"], [2568, "compatibility-notes"], [2593, "compatibility-notes"], [2597, "compatibility-notes"], [2609, "compatibility-notes"], [2563, "compatibility-notes"], [2585, "compatibility-notes"], [2600, "compatibility-notes"], [2565, "compatibility-notes"], [2572, "compatibility-notes"], [2591, "compatibility-notes"], [2567, "compatibility-notes"], [2594, "compatibility-notes"], [2592, "compatibility-notes"], [2615, "compatibility-notes"], [2603, "compatibility-notes"]], "array.fill(scalar) may behave slightly different": [[2637, "array-fill-scalar-may-behave-slightly-different"]], "Subarray to object cast now copies": [[2637, "subarray-to-object-cast-now-copies"]], "Returned arrays respect 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third-party BitGenerators": [[2637, "added-pickle-support-for-third-party-bitgenerators"]], "arange() now explicitly fails with dtype=str": [[2637, "arange-now-explicitly-fails-with-dtype-str"]], "numpy.typing protocols are now runtime checkable": [[2637, "numpy-typing-protocols-are-now-runtime-checkable"]], "Performance improvements and changes": [[2637, "performance-improvements-and-changes"], [2631, "performance-improvements-and-changes"], [2641, "performance-improvements-and-changes"], [2615, "performance-improvements-and-changes"]], "Faster version of np.isin and np.in1d for integer arrays": [[2637, "faster-version-of-np-isin-and-np-in1d-for-integer-arrays"]], "Faster comparison operators": [[2637, "faster-comparison-operators"]], "Changes": [[2637, "changes"], [2655, "changes"], [2647, "changes"], [2651, "changes"], [2650, "changes"], [2654, "changes"], [2648, "changes"], [2641, "changes"], [2660, "changes"], [2619, "changes"], [2574, "changes"], [2590, "changes"], [2578, "changes"], [2568, "changes"], [2593, "changes"], [2597, "changes"], [2609, "changes"], [2563, "changes"], [2572, "changes"], [2591, "changes"], [2594, "changes"], [2615, "changes"], [2603, "changes"]], "Better reporting of integer division overflow": [[2637, "better-reporting-of-integer-division-overflow"]], "masked_invalid now modifies the mask in-place": [[2637, "masked-invalid-now-modifies-the-mask-in-place"]], "nditer/NpyIter allows all allocating all operands": [[2637, "nditer-npyiter-allows-all-allocating-all-operands"]], "How to create arrays with regularly-spaced values": [[2685, "how-to-create-arrays-with-regularly-spaced-values"]], "1D domains (intervals)": [[2685, "d-domains-intervals"]], "linspace vs. arange": [[2685, "linspace-vs-arange"]], "Other examples": [[2685, "other-examples"]], "geomspace and logspace": [[2685, "geomspace-and-logspace"]], "nD domains": [[2685, "nd-domains"]], "meshgrid": [[2685, "meshgrid"]], "mgrid": [[2685, "mgrid"]], "ogrid": [[2685, "ogrid"]], "Troubleshooting": [[2694, "troubleshooting"], [2644, "troubleshooting"]], "ImportError": [[2694, "importerror"]], "Using Python from conda (Anaconda)": [[2694, "using-python-from-conda-anaconda"]], "Using PyCharm with Anaconda/conda Python": [[2694, "using-pycharm-with-anaconda-conda-python"]], "Using VSCode with Anaconda/conda Python (or environments)": [[2694, "using-vscode-with-anaconda-conda-python-or-environments"]], "Using Eclipse/PyDev with Anaconda/conda Python (or environments)": [[2694, "using-eclipse-pydev-with-anaconda-conda-python-or-environments"]], "Raspberry Pi": [[2694, "raspberry-pi"]], "Debug build on Windows": [[2694, "debug-build-on-windows"]], "All Setups": [[2694, "all-setups"]], "Development Setup": [[2694, "development-setup"]], "Check Environment Variables": [[2694, "check-environment-variables"]], "C-API incompatibility": [[2694, "c-api-incompatibility"]], "Segfaults or crashes": [[2694, "segfaults-or-crashes"]], "NumPy: the absolute basics for beginners": [[2661, "numpy-the-absolute-basics-for-beginners"]], "Welcome to NumPy!": [[2661, "welcome-to-numpy"]], "Installing NumPy": [[2661, "installing-numpy"], [2689, "installing-numpy"]], "How to import NumPy": [[2661, "how-to-import-numpy"]], "Reading the example code": [[2661, "reading-the-example-code"]], "What\u2019s the difference between a Python list and a NumPy array?": [[2661, "whats-the-difference-between-a-python-list-and-a-numpy-array"]], "What is an array?": [[2661, "what-is-an-array"]], "More information about arrays": [[2661, "more-information-about-arrays"]], "How to create a basic array": [[2661, "how-to-create-a-basic-array"]], "Adding, removing, and sorting elements": [[2661, "adding-removing-and-sorting-elements"]], "How do you know the shape and size of an array?": [[2661, "how-do-you-know-the-shape-and-size-of-an-array"]], "Can you reshape an array?": [[2661, "can-you-reshape-an-array"]], "How to convert a 1D array into a 2D array (how to add a new axis to an array)": [[2661, "how-to-convert-a-1d-array-into-a-2d-array-how-to-add-a-new-axis-to-an-array"]], "Indexing and slicing": [[2661, "indexing-and-slicing"], [2306, "indexing-and-slicing"]], "How to create an array from existing data": [[2661, "how-to-create-an-array-from-existing-data"]], "Basic array operations": [[2661, "basic-array-operations"]], "Broadcasting": [[2661, "broadcasting"], [2663, "broadcasting"], [2674, "broadcasting"], [19, "broadcasting"]], "More useful array operations": [[2661, "more-useful-array-operations"]], "Creating matrices": [[2661, "creating-matrices"]], "Generating random numbers": [[2661, "generating-random-numbers"]], "How to get unique items and counts": [[2661, "how-to-get-unique-items-and-counts"]], "Transposing and reshaping a matrix": [[2661, "transposing-and-reshaping-a-matrix"]], "How to reverse an array": [[2661, "how-to-reverse-an-array"]], "Reshaping and flattening multidimensional arrays": [[2661, "reshaping-and-flattening-multidimensional-arrays"]], "How to access the docstring for more information": [[2661, "how-to-access-the-docstring-for-more-information"]], "Working with mathematical formulas": [[2661, "working-with-mathematical-formulas"]], "How to save and load NumPy objects": [[2661, "how-to-save-and-load-numpy-objects"]], "Importing and exporting a CSV": [[2661, "importing-and-exporting-a-csv"]], "Plotting arrays with Matplotlib": [[2661, "plotting-arrays-with-matplotlib"]], "NumPy 1.24.1 Release Notes": [[2638, "numpy-1-24-1-release-notes"]], "NumPy 1.6.1 Release Notes": [[2649, "numpy-1-6-1-release-notes"]], "Issues Fixed": [[2649, "issues-fixed"], [2565, "issues-fixed"], [2567, "issues-fixed"]], "NumPy 1.3.0 Release Notes": [[2645, "numpy-1-3-0-release-notes"]], "Highlights": [[2645, "highlights"], [2647, "highlights"], [2651, "highlights"], [2657, "highlights"], [2654, "highlights"], [2648, "highlights"], [2646, "highlights"], [2660, "highlights"], [2574, "highlights"], [2596, "highlights"], [2601, "highlights"], [2590, "highlights"], [2578, "highlights"], [2568, "highlights"], [2616, "highlights"], [2597, "highlights"], [2609, "highlights"], [2563, "highlights"], [2585, "highlights"], [2600, "highlights"], [2572, "highlights"], [2603, "highlights"], [2606, "highlights"]], "Python 2.6 support": [[2645, "python-2-6-support"]], "Generalized ufuncs": [[2645, "generalized-ufuncs"]], "Experimental Windows 64 bits support": [[2645, "experimental-windows-64-bits-support"]], "New features": [[2645, "new-features"], [2647, "new-features"], [2651, "new-features"], [2648, "new-features"], [2646, "new-features"]], "Formatting issues": [[2645, "formatting-issues"]], "Nan handling in max/min": [[2645, "nan-handling-in-max-min"]], "Nan handling in sign": [[2645, "nan-handling-in-sign"]], "New ufuncs": [[2645, "new-ufuncs"], [2646, "new-ufuncs"]], "Masked arrays": [[2645, "masked-arrays"], [2304, "masked-arrays"]], "gfortran support on windows": [[2645, "gfortran-support-on-windows"]], "Arch option for windows binary": [[2645, "arch-option-for-windows-binary"]], "Deprecated features": [[2645, "deprecated-features"], [2648, "deprecated-features"]], "Histogram": [[2645, "histogram"]], "Documentation changes": [[2645, "documentation-changes"]], "New C API": [[2645, "new-c-api"], [2646, "new-c-api"]], "Multiarray API": [[2645, "multiarray-api"]], "Ufunc API": [[2645, "ufunc-api"]], "New defines": [[2645, "new-defines"], [2646, "new-defines"]], "Portable NAN, INFINITY, etc\u2026": [[2645, "portable-nan-infinity-etc"]], "Internal changes": [[2645, "internal-changes"], [2646, "internal-changes"]], "numpy.core math configuration revamp": [[2645, "numpy-core-math-configuration-revamp"]], "umath refactor": [[2645, "umath-refactor"]], "Improvements to build warnings": [[2645, "improvements-to-build-warnings"]], "Separate core math library": [[2645, "separate-core-math-library"], [2646, "separate-core-math-library"]], "CPU arch detection": [[2645, "cpu-arch-detection"]], "NumPy 1.7.2 Release Notes": [[2653, "numpy-1-7-2-release-notes"]], "Issues fixed": [[2653, "issues-fixed"], [2655, "issues-fixed"], [2659, "issues-fixed"], [2652, "issues-fixed"], [2650, "issues-fixed"], [2658, "issues-fixed"], [2656, "issues-fixed"]], "NumPy 1.8.1 Release Notes": [[2655, "numpy-1-8-1-release-notes"]], "NDIter": [[2655, "nditer"], [2657, "nditer"]], "Optional reduced verbosity for np.distutils": [[2655, "optional-reduced-verbosity-for-np-distutils"], [2657, "optional-reduced-verbosity-for-np-distutils"]], "C-API": [[2655, "c-api"], [2651, "id2"], [2657, "c-api"], [2657, "id1"], [2654, "c-api"]], "Byte-swapping": [[2676, "byte-swapping"]], "Introduction to byte ordering and ndarrays": [[2676, "introduction-to-byte-ordering-and-ndarrays"]], "Changing byte ordering": [[2676, "changing-byte-ordering"]], "Data and dtype endianness don\u2019t match, change dtype to match data": [[2676, "data-and-dtype-endianness-don-t-match-change-dtype-to-match-data"]], "Data and type endianness don\u2019t match, change data to match dtype": [[2676, "data-and-type-endianness-don-t-match-change-data-to-match-dtype"]], "Data and dtype endianness match, swap data and dtype": [[2676, "data-and-dtype-endianness-match-swap-data-and-dtype"]], "NumPy quickstart": [[2692, "numpy-quickstart"]], "Prerequisites": [[2692, "prerequisites"], [2675, "prerequisites"], [16, "prerequisites"]], "The Basics": [[2692, "the-basics"]], "An example": [[2692, "an-example"]], "Array Creation": [[2692, "array-creation"]], "Printing Arrays": [[2692, "printing-arrays"]], "Basic Operations": [[2692, "basic-operations"]], "Universal Functions": [[2692, "universal-functions"]], "Indexing, Slicing and Iterating": [[2692, "indexing-slicing-and-iterating"]], "Shape Manipulation": [[2692, "shape-manipulation"], [59, "shape-manipulation"]], "Changing the shape of an array": [[2692, "changing-the-shape-of-an-array"]], "Stacking together different arrays": [[2692, "stacking-together-different-arrays"]], "Splitting one array into several smaller ones": [[2692, "splitting-one-array-into-several-smaller-ones"]], "Copies and Views": [[2692, "copies-and-views"]], "No Copy at All": [[2692, "no-copy-at-all"]], "View or Shallow Copy": [[2692, "view-or-shallow-copy"]], "Deep Copy": [[2692, "deep-copy"]], "Functions and Methods Overview": [[2692, "functions-and-methods-overview"]], "Less Basic": [[2692, "less-basic"]], "Broadcasting rules": [[2692, "broadcasting-rules"]], "Advanced indexing and index tricks": [[2692, "advanced-indexing-and-index-tricks"]], "Indexing with Arrays of Indices": [[2692, "indexing-with-arrays-of-indices"]], "Indexing with Boolean Arrays": [[2692, "indexing-with-boolean-arrays"]], "The ix_() function": [[2692, "the-ix-function"]], "Indexing with strings": [[2692, "indexing-with-strings"]], "Tricks and Tips": [[2692, "tricks-and-tips"]], "\u201cAutomatic\u201d Reshaping": [[2692, "automatic-reshaping"]], "Vector Stacking": [[2692, "vector-stacking"]], "Histograms": [[2692, "histograms"], [2547, "histograms"]], "NumPy for MATLAB users": [[2691, "numpy-for-matlab-users"]], "Some key differences": [[2691, "some-key-differences"]], "Rough equivalents": [[2691, "rough-equivalents"]], "General purpose equivalents": [[2691, "general-purpose-equivalents"]], "Linear algebra equivalents": [[2691, "linear-algebra-equivalents"]], "Notes": [[2691, "notes"], [2565, "notes"], [2535, "notes"], [760, "notes"], [759, "notes"]], "\u2018array\u2019 or \u2018matrix\u2019? Which should I use?": [[2691, "array-or-matrix-which-should-i-use"]], "Short answer": [[2691, "short-answer"]], "Long answer": [[2691, "long-answer"]], "Customizing your environment": [[2691, "customizing-your-environment"]], "Links": [[2691, "links"]], "NumPy 1.22.0 Release Notes": [[2626, "numpy-1-22-0-release-notes"]], "Deprecated numeric style dtype strings have been removed": [[2626, "deprecated-numeric-style-dtype-strings-have-been-removed"]], "Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio": [[2626, "expired-deprecations-for-loads-ndfromtxt-and-mafromtxt-in-npyio"]], "Use delimiter rather than delimitor as kwarg in mrecords": [[2626, "use-delimiter-rather-than-delimitor-as-kwarg-in-mrecords"]], "Passing boolean kth values to (arg-)partition has been deprecated": [[2626, "passing-boolean-kth-values-to-arg-partition-has-been-deprecated"]], "The np.MachAr class has been deprecated": [[2626, "the-np-machar-class-has-been-deprecated"]], "Distutils forces strict floating point model on clang": [[2626, "distutils-forces-strict-floating-point-model-on-clang"], [2619, "distutils-forces-strict-floating-point-model-on-clang"]], "Removed floor division support for complex types": [[2626, "removed-floor-division-support-for-complex-types"]], "numpy.vectorize functions now produce the same output class as the base function": [[2626, "numpy-vectorize-functions-now-produce-the-same-output-class-as-the-base-function"]], "Python 3.7 is no longer supported": [[2626, "python-3-7-is-no-longer-supported"]], "str/repr of complex dtypes now include space after punctuation": [[2626, "str-repr-of-complex-dtypes-now-include-space-after-punctuation"]], "Corrected advance in PCG64DSXM and PCG64": [[2626, "corrected-advance-in-pcg64dsxm-and-pcg64"]], "Change in generation of random 32 bit floating point variates": [[2626, "change-in-generation-of-random-32-bit-floating-point-variates"]], "C API changes": [[2626, "c-api-changes"], [2660, "c-api-changes"], [2619, "c-api-changes"], [2574, "c-api-changes"], [2590, "c-api-changes"], [2578, "c-api-changes"], [2597, "c-api-changes"], [2609, "c-api-changes"], [2585, "c-api-changes"], [2615, "c-api-changes"], [2603, "c-api-changes"]], "Masked inner-loops cannot be customized anymore": [[2626, "masked-inner-loops-cannot-be-customized-anymore"]], "Experimental exposure of future DType and UFunc API": [[2626, "experimental-exposure-of-future-dtype-and-ufunc-api"]], "NEP 49 configurable allocators": [[2626, "nep-49-configurable-allocators"]], "Implementation of the NEP 47 (adopting the array API standard)": [[2626, "implementation-of-the-nep-47-adopting-the-array-api-standard"]], "Generate C/C++ API reference documentation from comments blocks is now possible": [[2626, "generate-c-c-api-reference-documentation-from-comments-blocks-is-now-possible"]], "Assign the platform-specific c_intp precision via a mypy plugin": [[2626, "assign-the-platform-specific-c-intp-precision-via-a-mypy-plugin"]], "Add NEP 47-compatible dlpack support": [[2626, "add-nep-47-compatible-dlpack-support"]], "keepdims optional argument added to numpy.argmin, numpy.argmax": [[2626, "keepdims-optional-argument-added-to-numpy-argmin-numpy-argmax"]], "bit_count to compute the number of 1-bits in an integer": [[2626, "bit-count-to-compute-the-number-of-1-bits-in-an-integer"]], "The ndim and axis attributes have been added to numpy.AxisError": [[2626, "the-ndim-and-axis-attributes-have-been-added-to-numpy-axiserror"]], "Preliminary support for windows/arm64 target": [[2626, "preliminary-support-for-windows-arm64-target"]], "Added support for LoongArch": [[2626, "added-support-for-loongarch"]], "A .clang-format file has been added": [[2626, "a-clang-format-file-has-been-added"]], "is_integer is now available to numpy.floating and numpy.integer": [[2626, "is-integer-is-now-available-to-numpy-floating-and-numpy-integer"]], "Symbolic parser for Fortran dimension specifications": [[2626, "symbolic-parser-for-fortran-dimension-specifications"]], "ndarray, dtype and number are now runtime-subscriptable": [[2626, "ndarray-dtype-and-number-are-now-runtime-subscriptable"]], "ctypeslib.load_library can now take any path-like object": [[2626, "ctypeslib-load-library-can-now-take-any-path-like-object"]], "Add smallest_normal and smallest_subnormal attributes to finfo": [[2626, "add-smallest-normal-and-smallest-subnormal-attributes-to-finfo"]], "numpy.linalg.qr accepts stacked matrices as inputs": [[2626, "numpy-linalg-qr-accepts-stacked-matrices-as-inputs"]], "numpy.fromregex now accepts os.PathLike implementations": [[2626, "numpy-fromregex-now-accepts-os-pathlike-implementations"]], "Add new methods for quantile and percentile": [[2626, "add-new-methods-for-quantile-and-percentile"]], "Missing parameters have been added to the nan<x> functions": [[2626, "missing-parameters-have-been-added-to-the-nan-x-functions"]], "Annotating the main Numpy namespace": [[2626, "annotating-the-main-numpy-namespace"]], "Vectorize umath module using AVX-512": [[2626, "vectorize-umath-module-using-avx-512"]], "OpenBLAS v0.3.18": [[2626, "openblas-v0-3-18"]], "Array creation": [[2665, "array-creation"]], "1) Converting Python sequences to NumPy Arrays": [[2665, "converting-python-sequences-to-numpy-arrays"]], "2) Intrinsic NumPy array creation functions": [[2665, "intrinsic-numpy-array-creation-functions"]], "1 - 1D array creation functions": [[2665, "d-array-creation-functions"]], "2 - 2D array creation functions": [[2665, "id1"]], "3 - general ndarray creation functions": [[2665, "general-ndarray-creation-functions"]], "3) Replicating, joining, or mutating existing arrays": [[2665, "replicating-joining-or-mutating-existing-arrays"]], "4) Reading arrays from disk, either from standard or custom formats": [[2665, "reading-arrays-from-disk-either-from-standard-or-custom-formats"]], "Standard Binary Formats": [[2665, "standard-binary-formats"]], "Common ASCII Formats": [[2665, "common-ascii-formats"]], "5) Creating arrays from raw bytes through the use of strings or buffers": [[2665, "creating-arrays-from-raw-bytes-through-the-use-of-strings-or-buffers"]], "6) Use of special library functions (e.g., SciPy, Pandas, and OpenCV)": [[2665, "use-of-special-library-functions-e-g-scipy-pandas-and-opencv"]], "NumPy 1.23.5 Release Notes": [[2636, "numpy-1-23-5-release-notes"]], "NumPy 1.5.0 Release Notes": [[2647, "numpy-1-5-0-release-notes"]], "Python 3 compatibility": [[2647, "python-3-compatibility"]], "PEP 3118 compatibility": [[2647, "pep-3118-compatibility"]], "Warning on casting complex to real": [[2647, "warning-on-casting-complex-to-real"]], "Dot method for ndarrays": [[2647, "dot-method-for-ndarrays"]], "linalg.slogdet function": [[2647, "linalg-slogdet-function"]], "new header": [[2647, "new-header"]], "polynomial.polynomial": [[2647, "polynomial-polynomial"]], "polynomial.chebyshev": [[2647, "polynomial-chebyshev"]], "histogram": [[2647, "histogram"]], "correlate": [[2647, "correlate"]], "General Broadcasting Rules": [[2663, "general-broadcasting-rules"]], "Broadcastable arrays": [[2663, "broadcastable-arrays"]], "A Practical Example: Vector Quantization": [[2663, "a-practical-example-vector-quantization"]], "NumPy 1.23.4 Release Notes": [[2635, "numpy-1-23-4-release-notes"]], "NumPy 1.24.3 Release Notes": [[2640, "numpy-1-24-3-release-notes"]], "NumPy 1.7.0 Release Notes": [[2651, "numpy-1-7-0-release-notes"]], "Reduction UFuncs Generalize axis= Parameter": [[2651, "reduction-ufuncs-generalize-axis-parameter"]], "Reduction UFuncs New keepdims= Parameter": [[2651, "reduction-ufuncs-new-keepdims-parameter"]], "Datetime support": [[2651, "datetime-support"]], "Custom formatter for printing arrays": [[2651, "custom-formatter-for-printing-arrays"]], "New function numpy.random.choice": [[2651, "new-function-numpy-random-choice"]], "New function isclose": [[2651, "new-function-isclose"]], "Preliminary multi-dimensional support in the polynomial package": [[2651, "preliminary-multi-dimensional-support-in-the-polynomial-package"]], "Ability to pad rank-n arrays": [[2651, "ability-to-pad-rank-n-arrays"]], "New argument to searchsorted": [[2651, "new-argument-to-searchsorted"]], "Build system": [[2651, "build-system"], [2657, "build-system"], [2585, "build-system"]], "C API": [[2651, "c-api"], [2648, "c-api"], [2568, "c-api"], [2563, "c-api"], [2572, "c-api"]], "General": [[2651, "general"], [2651, "id1"], [2654, "general"], [2654, "id1"]], "Casting Rules": [[2651, "casting-rules"]], "NumPy fundamentals": [[2662, "numpy-fundamentals"]], "NumPy 1.9.0 Release Notes": [[2657, "numpy-1-9-0-release-notes"]], "Dropped Support": [[2657, "dropped-support"], [2654, "dropped-support"], [2563, "dropped-support"], [2572, "dropped-support"]], "Future Changes": [[2657, "future-changes"], [2654, "future-changes"], [2660, "future-changes"], [2574, "future-changes"], [2578, "future-changes"], [2568, "future-changes"], [2597, "future-changes"], [2563, "future-changes"], [2585, "future-changes"], [2572, "future-changes"], [2615, "future-changes"]], "The diagonal and diag functions return readonly views.": [[2657, "the-diagonal-and-diag-functions-return-readonly-views"]], "Special scalar float values don\u2019t cause upcast to double anymore": [[2657, "special-scalar-float-values-don-t-cause-upcast-to-double-anymore"]], "Percentile output changes": [[2657, "percentile-output-changes"]], "ndarray.tofile exception type": [[2657, "ndarray-tofile-exception-type"]], "Invalid fill value exceptions": [[2657, "invalid-fill-value-exceptions"]], "Polynomial Classes no longer derived from PolyBase": [[2657, "polynomial-classes-no-longer-derived-from-polybase"]], "Using numpy.random.binomial may change the RNG state vs. numpy < 1.9": [[2657, "using-numpy-random-binomial-may-change-the-rng-state-vs-numpy-1-9"]], "Random seed enforced to be a 32 bit unsigned integer": [[2657, "random-seed-enforced-to-be-a-32-bit-unsigned-integer"]], "Argmin and argmax out argument": [[2657, "argmin-and-argmax-out-argument"]], "Einsum": [[2657, "einsum"]], "Indexing": [[2657, "indexing"], [19, "indexing"], [58, "indexing"]], "Non-integer reduction axis indexes are deprecated": [[2657, "non-integer-reduction-axis-indexes-are-deprecated"]], "promote_types and string dtype": [[2657, "promote-types-and-string-dtype"]], "can_cast and string dtype": [[2657, "can-cast-and-string-dtype"]], "astype and string dtype": [[2657, "astype-and-string-dtype"]], "npyio.recfromcsv keyword arguments change": [[2657, "npyio-recfromcsv-keyword-arguments-change"]], "The doc/swig directory moved": [[2657, "the-doc-swig-directory-moved"]], "The npy_3kcompat.h header changed": [[2657, "the-npy-3kcompat-h-header-changed"]], "Negative indices in C-Api sq_item and sq_ass_item sequence methods": [[2657, "negative-indices-in-c-api-sq-item-and-sq-ass-item-sequence-methods"]], "zeros_like for string dtypes now returns empty strings": [[2657, "zeros-like-for-string-dtypes-now-returns-empty-strings"]], "Percentile supports more interpolation options": [[2657, "percentile-supports-more-interpolation-options"]], "Generalized axis support for median and percentile": [[2657, "generalized-axis-support-for-median-and-percentile"]], "Dtype parameter added to np.linspace and np.logspace": [[2657, "dtype-parameter-added-to-np-linspace-and-np-logspace"]], "More general np.triu and np.tril broadcasting": [[2657, "more-general-np-triu-and-np-tril-broadcasting"]], "tobytes alias for tostring method": [[2657, "tobytes-alias-for-tostring-method"]], "Compatibility to python numbers module": [[2657, "compatibility-to-python-numbers-module"]], "increasing parameter added to np.vander": [[2657, "increasing-parameter-added-to-np-vander"]], "unique_counts parameter added to np.unique": [[2657, "unique-counts-parameter-added-to-np-unique"]], "Support for median and percentile in nanfunctions": [[2657, "support-for-median-and-percentile-in-nanfunctions"]], "NumpyVersion class added": [[2657, "numpyversion-class-added"]], "Allow saving arrays with large number of named columns": [[2657, "allow-saving-arrays-with-large-number-of-named-columns"]], "Full broadcasting support for np.cross": [[2657, "full-broadcasting-support-for-np-cross"]], "Better numerical stability for sum in some cases": [[2657, "better-numerical-stability-for-sum-in-some-cases"]], "Percentile implemented in terms of np.partition": [[2657, "percentile-implemented-in-terms-of-np-partition"]], "Performance improvement for np.array": [[2657, "performance-improvement-for-np-array"]], "Performance improvement for np.searchsorted": [[2657, "performance-improvement-for-np-searchsorted"]], "Covariance check in np.random.multivariate_normal": [[2657, "covariance-check-in-np-random-multivariate-normal"]], "Polynomial Classes no longer template based": [[2657, "polynomial-classes-no-longer-template-based"]], "More GIL releases": [[2657, "more-gil-releases"]], "MaskedArray support for more complicated base classes": [[2657, "maskedarray-support-for-more-complicated-base-classes"], [2563, "maskedarray-support-for-more-complicated-base-classes"]], "Non-integer scalars for sequence repetition": [[2657, "non-integer-scalars-for-sequence-repetition"]], "select input deprecations": [[2657, "select-input-deprecations"]], "rank function": [[2657, "rank-function"]], "Object array equality comparisons": [[2657, "object-array-equality-comparisons"]], "Importing data with genfromtxt": [[2670, "importing-data-with-genfromtxt"]], "Defining the input": [[2670, "defining-the-input"]], "Splitting the lines into columns": [[2670, "splitting-the-lines-into-columns"]], "The delimiter argument": [[2670, "the-delimiter-argument"]], "The autostrip argument": [[2670, "the-autostrip-argument"]], "The comments argument": [[2670, "the-comments-argument"]], "Skipping lines and choosing columns": [[2670, "skipping-lines-and-choosing-columns"]], "The skip_header and skip_footer arguments": [[2670, "the-skip-header-and-skip-footer-arguments"]], "The usecols argument": [[2670, "the-usecols-argument"]], "Choosing the data type": [[2670, "choosing-the-data-type"]], "Setting the names": [[2670, "setting-the-names"]], "The names argument": [[2670, "the-names-argument"]], "The defaultfmt argument": [[2670, "the-defaultfmt-argument"]], "Validating names": [[2670, "validating-names"]], "Tweaking the conversion": [[2670, "tweaking-the-conversion"]], "The converters argument": [[2670, "the-converters-argument"]], "Using missing and filling values": [[2670, "using-missing-and-filling-values"]], "missing_values": [[2670, "missing-values"]], "filling_values": [[2670, "filling-values"]], "usemask": [[2670, "usemask"]], "Shortcut functions": [[2670, "shortcut-functions"]], "NumPy 1.9.2 Release Notes": [[2659, "numpy-1-9-2-release-notes"]], "Indexing on ndarrays": [[2667, "indexing-on-ndarrays"]], "Basic indexing": [[2667, "basic-indexing"]], "Single element indexing": [[2667, "single-element-indexing"]], "Slicing and striding": [[2667, "slicing-and-striding"]], "Dimensional indexing tools": [[2667, "dimensional-indexing-tools"]], "Advanced indexing": [[2667, "advanced-indexing"], [19, "advanced-indexing"]], "Integer array indexing": [[2667, "integer-array-indexing"]], "Boolean array indexing": [[2667, "boolean-array-indexing"]], "Combining advanced and basic indexing": [[2667, "combining-advanced-and-basic-indexing"]], "Field access": [[2667, "field-access"]], "Flat Iterator indexing": [[2667, "flat-iterator-indexing"]], "Assigning values to indexed arrays": [[2667, "assigning-values-to-indexed-arrays"]], "Dealing with variable numbers of indices within programs": [[2667, "dealing-with-variable-numbers-of-indices-within-programs"]], "Detailed notes": [[2667, "detailed-notes"]], "Using NumPy C-API": [[2677, "using-numpy-c-api"]], "NumPy 1.23.3 Release Notes": [[2634, "numpy-1-23-3-release-notes"]], "Verifying bugs and bug fixes in NumPy": [[2686, "verifying-bugs-and-bug-fixes-in-numpy"]], "1. Set up a virtual environment": [[2686, "set-up-a-virtual-environment"]], "2. Install the NumPy version in which the bug was reported": [[2686, "install-the-numpy-version-in-which-the-bug-was-reported"]], "1. Reproduce the bug": [[2686, "reproduce-the-bug"]], "4. Check for fixes in the latest version of NumPy": [[2686, "check-for-fixes-in-the-latest-version-of-numpy"]], "5. Support NumPy development by verifying and fixing bugs": [[2686, "support-numpy-development-by-verifying-and-fixing-bugs"]], "NumPy how-tos": [[2687, "numpy-how-tos"]], "NumPy 1.7.1 Release Notes": [[2652, "numpy-1-7-1-release-notes"]], "NumPy 1.22.2 Release Notes": [[2628, "numpy-1-22-2-release-notes"]], "NumPy 1.6.2 Release Notes": [[2650, "numpy-1-6-2-release-notes"]], "numpy.core": [[2650, "numpy-core"]], "numpy.lib": [[2650, "numpy-lib"], [2648, "numpy-lib"]], "numpy.distutils": [[2650, "numpy-distutils"], [2648, "numpy-distutils"], [2648, "id1"]], "numpy.random": [[2650, "numpy-random"]], "numpy.f2py": [[2650, "numpy-f2py"]], "numpy.poly": [[2650, "numpy-poly"], [1634, "numpy-poly"]], "NumPy 1.8.0 Release Notes": [[2654, "numpy-1-8-0-release-notes"]], "NPY_RELAXED_STRIDES_CHECKING": [[2654, "npy-relaxed-strides-checking"]], "Binary operations with non-arrays as second argument": [[2654, "binary-operations-with-non-arrays-as-second-argument"]], "Function median used with overwrite_input only partially sorts array": [[2654, "function-median-used-with-overwrite-input-only-partially-sorts-array"]], "Fix to financial.npv": [[2654, "fix-to-financial-npv"]], "Runtime warnings when comparing NaN numbers": [[2654, "runtime-warnings-when-comparing-nan-numbers"]], "Support for linear algebra on stacked arrays": [[2654, "support-for-linear-algebra-on-stacked-arrays"]], "In place fancy indexing for ufuncs": [[2654, "in-place-fancy-indexing-for-ufuncs"]], "New functions partition and argpartition": [[2654, "new-functions-partition-and-argpartition"]], "New functions nanmean, nanvar and nanstd": [[2654, "new-functions-nanmean-nanvar-and-nanstd"]], "New functions full and full_like": [[2654, "new-functions-full-and-full-like"]], "IO compatibility with large files": [[2654, "io-compatibility-with-large-files"]], "Building against OpenBLAS": [[2654, "building-against-openblas"]], "New constant": [[2654, "new-constant"]], "New modes for qr": [[2654, "new-modes-for-qr"]], "New invert argument to in1d": [[2654, "new-invert-argument-to-in1d"]], "Advanced indexing using np.newaxis": [[2654, "advanced-indexing-using-np-newaxis"]], "runtests.py": [[2654, "runtests-py"]], "IO performance improvements": [[2654, "io-performance-improvements"]], "Performance improvements to pad": [[2654, "performance-improvements-to-pad"]], "Performance improvements to isnan, isinf, isfinite and byteswap": [[2654, "performance-improvements-to-isnan-isinf-isfinite-and-byteswap"]], "Performance improvements via SSE2 vectorization": [[2654, "performance-improvements-via-sse2-vectorization"]], "Performance improvements to median": [[2654, "performance-improvements-to-median"]], "Overridable operand flags in ufunc C-API": [[2654, "overridable-operand-flags-in-ufunc-c-api"]], "C-API Array Additions": [[2654, "c-api-array-additions"]], "C-API Ufunc Additions": [[2654, "c-api-ufunc-additions"]], "C-API Developer Improvements": [[2654, "c-api-developer-improvements"]], "Authors": [[2654, "authors"]], "NumPy 1.22.1 Release Notes": [[2627, "numpy-1-22-1-release-notes"]], "Interoperability with NumPy": [[2668, "interoperability-with-numpy"]], "1. Using arbitrary objects in NumPy": [[2668, "using-arbitrary-objects-in-numpy"]], "The array interface protocol": [[2668, "the-array-interface-protocol"], [54, "the-array-interface-protocol"]], "The __array__() method": [[2668, "the-array-method"]], "The DLPack Protocol": [[2668, "the-dlpack-protocol"]], "2. Operating on foreign objects without converting": [[2668, "operating-on-foreign-objects-without-converting"]], "The __array_ufunc__ protocol": [[2668, "the-array-ufunc-protocol"]], "The __array_function__ protocol": [[2668, "the-array-function-protocol"]], "3. Returning foreign objects": [[2668, "returning-foreign-objects"]], "Interoperability examples": [[2668, "interoperability-examples"]], "Example: Pandas Series objects": [[2668, "example-pandas-series-objects"]], "Example: PyTorch tensors": [[2668, "example-pytorch-tensors"]], "Warning": [[2668, null]], "Example: CuPy arrays": [[2668, "example-cupy-arrays"]], "Example: Dask arrays": [[2668, "example-dask-arrays"]], "Example: DLPack": [[2668, "example-dlpack"]], "Copies and views": [[2664, "copies-and-views"]], "View": [[2664, "view"]], "Copy": [[2664, "copy"]], "Indexing operations": [[2664, "indexing-operations"]], "Other operations": [[2664, "other-operations"]], "How to tell if the array is a view or a copy": [[2664, "how-to-tell-if-the-array-is-a-view-or-a-copy"]], "Universal functions (ufunc) basics": [[2674, "universal-functions-ufunc-basics"]], "Ufunc methods": [[2674, "ufunc-methods"]], "Output type determination": [[2674, "output-type-determination"]], "Type casting rules": [[2674, "type-casting-rules"]], "Use of internal buffers": [[2674, "use-of-internal-buffers"]], "Error handling": [[2674, "error-handling"]], "Overriding ufunc behavior": [[2674, "overriding-ufunc-behavior"]], "Writing your own ufunc": [[2681, "writing-your-own-ufunc"]], "Creating a new universal function": [[2681, "creating-a-new-universal-function"]], "Example Non-ufunc extension": [[2681, "example-non-ufunc-extension"]], "Example NumPy ufunc for one dtype": [[2681, "example-numpy-ufunc-for-one-dtype"]], "Example NumPy ufunc with multiple dtypes": [[2681, "example-numpy-ufunc-with-multiple-dtypes"]], "Example NumPy ufunc with multiple arguments/return values": [[2681, "example-numpy-ufunc-with-multiple-arguments-return-values"]], "Example NumPy ufunc with structured array dtype arguments": [[2681, "example-numpy-ufunc-with-structured-array-dtype-arguments"]], "Reading and writing files": [[2684, "reading-and-writing-files"]], "Reading text and CSV files": [[2684, "reading-text-and-csv-files"]], "With no missing values": [[2684, "with-no-missing-values"]], "With missing values": [[2684, "with-missing-values"]], "With non-whitespace delimiters": [[2684, "with-non-whitespace-delimiters"]], "Masked-array output": [[2684, "masked-array-output"]], "Array output": [[2684, "array-output"]], "Array output, specified fill-in value": [[2684, "array-output-specified-fill-in-value"]], "Whitespace-delimited": [[2684, "whitespace-delimited"]], "Read a file in .npy or .npz format": [[2684, "read-a-file-in-npy-or-npz-format"]], "Write to a file to be read back by NumPy": [[2684, "write-to-a-file-to-be-read-back-by-numpy"]], "Binary": [[2684, "binary"]], "Human-readable": [[2684, "human-readable"]], "Large arrays": [[2684, "large-arrays"]], "Read an arbitrarily formatted binary file (\u201cbinary blob\u201d)": [[2684, "read-an-arbitrarily-formatted-binary-file-binary-blob"]], "Write or read large arrays": [[2684, "write-or-read-large-arrays"]], "Write files for reading by other (non-NumPy) tools": [[2684, "write-files-for-reading-by-other-non-numpy-tools"]], "Write or read a JSON file": [[2684, "write-or-read-a-json-file"]], "Save/restore using a pickle file": [[2684, "save-restore-using-a-pickle-file"]], "Convert from a pandas DataFrame to a NumPy array": [[2684, "convert-from-a-pandas-dataframe-to-a-numpy-array"]], "Save/restore using tofile and fromfile": [[2684, "save-restore-using-tofile-and-fromfile"]], "NumPy 1.22.3 Release Notes": [[2629, "numpy-1-22-3-release-notes"]], "NumPy 1.22.4 Release Notes": [[2630, "numpy-1-22-4-release-notes"]], "Using Python as glue": [[2680, "using-python-as-glue"]], "Calling other compiled libraries from Python": [[2680, "calling-other-compiled-libraries-from-python"]], "Hand-generated wrappers": [[2680, "hand-generated-wrappers"]], "f2py": [[2680, "f2py"]], "Cython": [[2680, "cython"], [2362, "cython"]], "Complex addition in Cython": [[2680, "complex-addition-in-cython"]], "Image filter in Cython": [[2680, "image-filter-in-cython"]], "Conclusion": [[2680, "conclusion"], [2680, "id4"]], "ctypes": [[2680, "index-2"]], "Having a shared library": [[2680, "having-a-shared-library"]], "Loading the shared library": [[2680, "loading-the-shared-library"]], "Converting arguments": [[2680, "converting-arguments"]], "Calling the function": [[2680, "calling-the-function"]], "Complete example": [[2680, "complete-example"]], "Additional tools you may find useful": [[2680, "additional-tools-you-may-find-useful"]], "SWIG": [[2680, "swig"]], "SIP": [[2680, "sip"]], "Boost Python": [[2680, "boost-python"]], "PyFort": [[2680, "pyfort"]], "NumPy 1.21.6 Release Notes": [[2625, "numpy-1-21-6-release-notes"]], "NumPy 1.23.0 Release Notes": [[2631, "numpy-1-23-0-release-notes"]], "New functions": [[2631, "new-functions"], [2660, "new-functions"], [2619, "new-functions"], [2574, "new-functions"], [2596, "new-functions"], [2590, "new-functions"], [2578, "new-functions"], [2597, "new-functions"], [2585, "new-functions"], [2615, "new-functions"], [2603, "new-functions"]], "crackfortran has support for operator and assignment overloading": [[2631, "crackfortran-has-support-for-operator-and-assignment-overloading"]], "f2py supports reading access type attributes from derived type statements": [[2631, "f2py-supports-reading-access-type-attributes-from-derived-type-statements"]], "New parameter ndmin added to genfromtxt": [[2631, "new-parameter-ndmin-added-to-genfromtxt"]], "np.loadtxt now supports quote character and single converter function": [[2631, "np-loadtxt-now-supports-quote-character-and-single-converter-function"]], "Changing to dtype of a different size now requires contiguity of only the last axis": [[2631, "changing-to-dtype-of-a-different-size-now-requires-contiguity-of-only-the-last-axis"]], "Deterministic output files for F2PY": [[2631, "deterministic-output-files-for-f2py"]], "keepdims parameter for average": [[2631, "keepdims-parameter-for-average"]], "1D np.linalg.norm preserves float input types, even for scalar results": [[2631, "d-np-linalg-norm-preserves-float-input-types-even-for-scalar-results"]], "Changes to structured (void) dtype promotion and comparisons": [[2631, "changes-to-structured-void-dtype-promotion-and-comparisons"]], "NPY_RELAXED_STRIDES_CHECKING has been removed": [[2631, "npy-relaxed-strides-checking-has-been-removed"]], "np.loadtxt has recieved several changes": [[2631, "np-loadtxt-has-recieved-several-changes"]], "ndarray.__array_finalize__ is now callable": [[2631, "ndarray-array-finalize-is-now-callable"]], "Add support for VSX4/Power10": [[2631, "add-support-for-vsx4-power10"]], "np.fromiter now accepts objects and subarrays": [[2631, "np-fromiter-now-accepts-objects-and-subarrays"]], "Math C library feature detection now uses correct signatures": [[2631, "math-c-library-feature-detection-now-uses-correct-signatures"]], "np.kron now maintains subclass information": [[2631, "np-kron-now-maintains-subclass-information"]], "Faster np.loadtxt": [[2631, "faster-np-loadtxt"]], "Faster reduction operators": [[2631, "faster-reduction-operators"]], "Faster np.where": [[2631, "faster-np-where"]], "Faster operations on NumPy scalars": [[2631, "faster-operations-on-numpy-scalars"]], "Faster np.kron": [[2631, "faster-np-kron"]], "NumPy 1.6.0 Release Notes": [[2648, "numpy-1-6-0-release-notes"]], "New 16-bit floating point type": [[2648, "new-16-bit-floating-point-type"]], "New iterator": [[2648, "new-iterator"]], "Legendre, Laguerre, Hermite, HermiteE polynomials in numpy.polynomial": [[2648, "legendre-laguerre-hermite-hermitee-polynomials-in-numpy-polynomial"]], "Fortran assumed shape array and size function support in numpy.f2py": [[2648, "fortran-assumed-shape-array-and-size-function-support-in-numpy-f2py"]], "Other new functions": [[2648, "other-new-functions"]], "default error handling": [[2648, "default-error-handling"]], "numpy.testing": [[2648, "numpy-testing"]], "Removed features": [[2648, "removed-features"]], "numpy.fft": [[2648, "numpy-fft"]], "numpy.memmap": [[2648, "numpy-memmap"], [1364, "numpy-memmap"]], "numpy.ma": [[2648, "numpy-ma"]], "Building from source": [[2675, "building-from-source"]], "Basic installation": [[2675, "basic-installation"]], "Advanced building with Meson": [[2675, "advanced-building-with-meson"]], "Testing": [[2675, "testing"], [2646, "testing"]], "Accelerated BLAS/LAPACK libraries": [[2675, "accelerated-blas-lapack-libraries"]], "Cross compilation": [[2675, "cross-compilation"]], "NumPy 1.4.0 Release Notes": [[2646, "numpy-1-4-0-release-notes"]], "Extended array wrapping mechanism for ufuncs": [[2646, "extended-array-wrapping-mechanism-for-ufuncs"]], "Automatic detection of forward incompatibilities": [[2646, "automatic-detection-of-forward-incompatibilities"]], "New iterators": [[2646, "new-iterators"]], "New polynomial support": [[2646, "new-polynomial-support"]], "Reusing npymath": [[2646, "reusing-npymath"]], "Improved set operations": [[2646, "improved-set-operations"]], "Use C99 complex functions when available": [[2646, "use-c99-complex-functions-when-available"]], "split multiarray and umath source code": [[2646, "split-multiarray-and-umath-source-code"]], "Separate compilation": [[2646, "separate-compilation"]], "NumPy 1.26.0 Release Notes": [[2644, "numpy-1-26-0-release-notes"]], "Array API v2022.12 support in numpy.array_api": [[2644, "array-api-v2022-12-support-in-numpy-array-api"]], "Support for the updated Accelerate BLAS/LAPACK library": [[2644, "support-for-the-updated-accelerate-blas-lapack-library"]], "meson backend for f2py": [[2644, "meson-backend-for-f2py"]], "bind(c) support for f2py": [[2644, "bind-c-support-for-f2py"]], "iso_c_binding support for f2py": [[2644, "iso-c-binding-support-for-f2py"]], "Build system changes": [[2644, "build-system-changes"]], "NumPy-specific build customization": [[2644, "numpy-specific-build-customization"]], "Build dependencies": [[2644, "build-dependencies"]], "NumPy 1.23.1 Release Notes": [[2632, "numpy-1-23-1-release-notes"]], "NumPy 1.25.0 Release Notes": [[2641, "numpy-1-25-0-release-notes"]], "np.pad with mode=wrap pads with strict multiples of original data": [[2641, "np-pad-with-mode-wrap-pads-with-strict-multiples-of-original-data"]], "Cython long_t and ulong_t removed": [[2641, "cython-long-t-and-ulong-t-removed"]], "Changed error message and type for bad axes argument to ufunc": [[2641, "changed-error-message-and-type-for-bad-axes-argument-to-ufunc"]], "Array-likes that define __array_ufunc__ can now override ufuncs if used as where": [[2641, "array-likes-that-define-array-ufunc-can-now-override-ufuncs-if-used-as-where"]], "Compiling against the NumPy C API is now backwards compatible by default": [[2641, "compiling-against-the-numpy-c-api-is-now-backwards-compatible-by-default"]], "np.einsum now accepts arrays with object dtype": [[2641, "np-einsum-now-accepts-arrays-with-object-dtype"]], "Add support for inplace matrix multiplication": [[2641, "add-support-for-inplace-matrix-multiplication"]], "Added NPY_ENABLE_CPU_FEATURES environment variable": [[2641, "added-npy-enable-cpu-features-environment-variable"]], "NumPy now has an np.exceptions namespace": [[2641, "numpy-now-has-an-np-exceptions-namespace"]], "np.linalg functions return NamedTuples": [[2641, "np-linalg-functions-return-namedtuples"]], "String functions in np.char are compatible with NEP 42 custom dtypes": [[2641, "string-functions-in-np-char-are-compatible-with-nep-42-custom-dtypes"]], "String dtype instances can be created from the string abstract dtype classes": [[2641, "string-dtype-instances-can-be-created-from-the-string-abstract-dtype-classes"]], "Fujitsu C/C++ compiler is now supported": [[2641, "fujitsu-c-c-compiler-is-now-supported"]], "SSL2 is now supported": [[2641, "ssl2-is-now-supported"]], "NDArrayOperatorsMixin specifies that it has no __slots__": [[2641, "ndarrayoperatorsmixin-specifies-that-it-has-no-slots"]], "Fix power of complex zero": [[2641, "fix-power-of-complex-zero"]], "New DTypePromotionError": [[2641, "new-dtypepromotionerror"]], "np.show_config uses information from Meson": [[2641, "np-show-config-uses-information-from-meson"]], "Fix np.ma.diff not preserving the mask when called with arguments prepend/append.": [[2641, "fix-np-ma-diff-not-preserving-the-mask-when-called-with-arguments-prepend-append"]], "Corrected error handling for NumPy C-API in Cython": [[2641, "corrected-error-handling-for-numpy-c-api-in-cython"]], "Ability to directly spawn random number generators": [[2641, "ability-to-directly-spawn-random-number-generators"]], "numpy.logspace now supports a non-scalar base argument": [[2641, "numpy-logspace-now-supports-a-non-scalar-base-argument"]], "np.ma.dot() now supports for non-2d arrays": [[2641, "np-ma-dot-now-supports-for-non-2d-arrays"]], "Explicitly show keys of .npz file in repr": [[2641, "explicitly-show-keys-of-npz-file-in-repr"]], "NumPy now exposes DType classes in np.dtypes": [[2641, "numpy-now-exposes-dtype-classes-in-np-dtypes"]], "Drop dtype metadata before saving in .npy or .npz files": [[2641, "drop-dtype-metadata-before-saving-in-npy-or-npz-files"]], "numpy.lib.recfunctions.structured_to_unstructured returns views in more cases": [[2641, "numpy-lib-recfunctions-structured-to-unstructured-returns-views-in-more-cases"]], "Signed and unsigned integers always compare correctly": [[2641, "signed-and-unsigned-integers-always-compare-correctly"]], "Faster np.argsort on AVX-512 enabled processors": [[2641, "faster-np-argsort-on-avx-512-enabled-processors"]], "Faster np.sort on AVX-512 enabled processors": [[2641, "faster-np-sort-on-avx-512-enabled-processors"]], "__array_function__ machinery is now much faster": [[2641, "array-function-machinery-is-now-much-faster"]], "ufunc.at can be much faster": [[2641, "ufunc-at-can-be-much-faster"]], "Faster membership test on NpzFile": [[2641, "faster-membership-test-on-npzfile"]], "np.r_[] and np.c_[] with certain 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"Searching": [[2546, "searching"]], "Counting": [[2546, "counting"]], "Testing the numpy.i Typemaps": [[2558, "testing-the-numpy-i-typemaps"]], "Testing Organization": [[2558, "testing-organization"]], "Testing Header Files": [[2558, "testing-header-files"]], "Testing Source Files": [[2558, "testing-source-files"]], "Testing SWIG Interface Files": [[2558, "testing-swig-interface-files"]], "Testing Python Scripts": [[2558, "testing-python-scripts"]], "NumPy 1.13.2 Release Notes": [[2576, "numpy-1-13-2-release-notes"]], "NumPy 1.21.0 Release Notes": [[2619, "numpy-1-21-0-release-notes"]], "Add PCG64DXSM BitGenerator": [[2619, "add-pcg64dxsm-bitgenerator"]], "The .dtype attribute must return a dtype": [[2619, "the-dtype-attribute-must-return-a-dtype"]], "Inexact matches for numpy.convolve and numpy.correlate are deprecated": [[2619, "inexact-matches-for-numpy-convolve-and-numpy-correlate-are-deprecated"]], "np.typeDict has been formally deprecated": [[2619, "np-typedict-has-been-formally-deprecated"]], "Exceptions will be raised during array-like creation": [[2619, "exceptions-will-be-raised-during-array-like-creation"]], "Four ndarray.ctypes methods have been deprecated": [[2619, "four-ndarray-ctypes-methods-have-been-deprecated"]], "Remove deprecated PolyBase and unused PolyError and PolyDomainError": [[2619, "remove-deprecated-polybase-and-unused-polyerror-and-polydomainerror"]], "Error type changes in universal functions": [[2619, "error-type-changes-in-universal-functions"]], "__array_ufunc__ argument validation": [[2619, "array-ufunc-argument-validation"]], "__array_ufunc__ and additional positional arguments": [[2619, "array-ufunc-and-additional-positional-arguments"]], "Validate input values in Generator.uniform": [[2619, "validate-input-values-in-generator-uniform"]], "/usr/include removed from default include paths": [[2619, "usr-include-removed-from-default-include-paths"]], "Changes to comparisons with dtype=...": [[2619, "changes-to-comparisons-with-dtype"]], "Changes to dtype and signature arguments in ufuncs": [[2619, "changes-to-dtype-and-signature-arguments-in-ufuncs"]], "Ufunc signature=... and dtype= generalization and casting": [[2619, "ufunc-signature-and-dtype-generalization-and-casting"]], "Use of ufunc->type_resolver and \u201ctype tuple\u201d": [[2619, "use-of-ufunc-type-resolver-and-type-tuple"]], "Added a mypy plugin for handling platform-specific numpy.number precisions": [[2619, "added-a-mypy-plugin-for-handling-platform-specific-numpy-number-precisions"]], "Let the mypy plugin manage extended-precision numpy.number subclasses": [[2619, "let-the-mypy-plugin-manage-extended-precision-numpy-number-subclasses"]], "New min_digits argument for printing float values": [[2619, "new-min-digits-argument-for-printing-float-values"]], "f2py now recognizes Fortran abstract interface blocks": [[2619, "f2py-now-recognizes-fortran-abstract-interface-blocks"]], "BLAS and LAPACK configuration via environment variables": [[2619, "blas-and-lapack-configuration-via-environment-variables"]], "A runtime-subcriptable alias has been added for ndarray": [[2619, "a-runtime-subcriptable-alias-has-been-added-for-ndarray"]], "Arbitrary period option for numpy.unwrap": [[2619, "arbitrary-period-option-for-numpy-unwrap"]], "np.unique now returns single NaN": [[2619, "np-unique-now-returns-single-nan"]], "Generator.rayleigh and Generator.geometric performance improved": [[2619, "generator-rayleigh-and-generator-geometric-performance-improved"]], "Placeholder annotations have been improved": [[2619, "placeholder-annotations-have-been-improved"]], "Performance improvements": [[2619, "performance-improvements"]], "Improved performance in integer division of NumPy arrays": [[2619, "improved-performance-in-integer-division-of-numpy-arrays"]], "Improve performance of np.save and np.load for small arrays": [[2619, "improve-performance-of-np-save-and-np-load-for-small-arrays"]], "numpy.piecewise output class now matches the input class": [[2619, "numpy-piecewise-output-class-now-matches-the-input-class"]], "Enable Accelerate Framework": [[2619, "enable-accelerate-framework"]], "NumPy 1.21.2 Release Notes": [[2621, "numpy-1-21-2-release-notes"]], "NumPy 1.13.0 Release Notes": [[2574, "numpy-1-13-0-release-notes"]], "Build System Changes": [[2574, "build-system-changes"], [2568, "build-system-changes"], [2572, "build-system-changes"]], "Error type changes": [[2574, "error-type-changes"]], "Tuple object dtypes": [[2574, "tuple-object-dtypes"]], "DeprecationWarning to error": [[2574, "deprecationwarning-to-error"], [2572, "deprecationwarning-to-error"]], "FutureWarning to changed behavior": [[2574, "futurewarning-to-changed-behavior"], [2568, "futurewarning-to-changed-behavior"], [2572, "futurewarning-to-changed-behavior"]], "dtypes are now always true": [[2574, "dtypes-are-now-always-true"]], "__getslice__ and __setslice__ are no longer needed in ndarray subclasses": [[2574, "getslice-and-setslice-are-no-longer-needed-in-ndarray-subclasses"]], "Indexing MaskedArrays/Constants with ... (ellipsis) now returns MaskedArray": [[2574, "indexing-maskedarrays-constants-with-ellipsis-now-returns-maskedarray"]], "GUfuncs on empty arrays and NpyIter axis removal": [[2574, "gufuncs-on-empty-arrays-and-npyiter-axis-removal"]], "PyArray_MapIterArrayCopyIfOverlap added to NumPy C-API": [[2574, "pyarray-mapiterarraycopyifoverlap-added-to-numpy-c-api"]], "__array_ufunc__ added": [[2574, "array-ufunc-added"]], "New positive ufunc": [[2574, "new-positive-ufunc"]], "New divmod ufunc": [[2574, "new-divmod-ufunc"]], "np.isnat ufunc tests for NaT special datetime and timedelta values": [[2574, "np-isnat-ufunc-tests-for-nat-special-datetime-and-timedelta-values"]], "np.heaviside ufunc computes the Heaviside function": [[2574, "np-heaviside-ufunc-computes-the-heaviside-function"]], "np.block function for creating blocked arrays": [[2574, "np-block-function-for-creating-blocked-arrays"]], "isin function, improving on in1d": [[2574, "isin-function-improving-on-in1d"]], "Temporary elision": [[2574, "temporary-elision"]], "axes argument for unique": [[2574, "axes-argument-for-unique"]], "np.gradient now supports unevenly spaced data": [[2574, "np-gradient-now-supports-unevenly-spaced-data"]], "Support for returning arrays of arbitrary dimensions in apply_along_axis": [[2574, "support-for-returning-arrays-of-arbitrary-dimensions-in-apply-along-axis"]], ".ndim property added to dtype to complement .shape": [[2574, "ndim-property-added-to-dtype-to-complement-shape"]], "Support for tracemalloc in Python 3.6": [[2574, "support-for-tracemalloc-in-python-3-6"]], "NumPy may be built with relaxed stride checking debugging": [[2574, "numpy-may-be-built-with-relaxed-stride-checking-debugging"]], "Ufunc behavior for overlapping inputs": [[2574, "ufunc-behavior-for-overlapping-inputs"]], "Partial support for 64-bit f2py extensions with MinGW": [[2574, "partial-support-for-64-bit-f2py-extensions-with-mingw"]], "Performance improvements for packbits and unpackbits": [[2574, "performance-improvements-for-packbits-and-unpackbits"]], "Fix for PPC long double floating point information": [[2574, "fix-for-ppc-long-double-floating-point-information"]], "Better default repr for ndarray subclasses": [[2574, "better-default-repr-for-ndarray-subclasses"]], "More reliable comparisons of masked arrays": [[2574, "more-reliable-comparisons-of-masked-arrays"]], "np.matrix with booleans elements can now be created using the string syntax": [[2574, "np-matrix-with-booleans-elements-can-now-be-created-using-the-string-syntax"]], "More linalg operations now accept empty vectors and matrices": [[2574, "more-linalg-operations-now-accept-empty-vectors-and-matrices"]], "Bundled version of LAPACK is now 3.2.2": [[2574, "bundled-version-of-lapack-is-now-3-2-2"]], "reduce of np.hypot.reduce and np.logical_xor allowed in more cases": [[2574, "reduce-of-np-hypot-reduce-and-np-logical-xor-allowed-in-more-cases"]], "Better repr of object arrays": [[2574, "better-repr-of-object-arrays"]], "argsort on masked arrays takes the same default arguments as sort": [[2574, "argsort-on-masked-arrays-takes-the-same-default-arguments-as-sort"]], "average now preserves subclasses": [[2574, "average-now-preserves-subclasses"]], "array == None and array != None do element-wise comparison": [[2574, "array-none-and-array-none-do-element-wise-comparison"]], "np.equal, np.not_equal for object arrays ignores object identity": [[2574, "np-equal-np-not-equal-for-object-arrays-ignores-object-identity"]], "Boolean indexing changes": [[2574, "boolean-indexing-changes"]], "np.random.multivariate_normal behavior with bad covariance matrix": [[2574, "np-random-multivariate-normal-behavior-with-bad-covariance-matrix"]], "assert_array_less compares np.inf and -np.inf now": [[2574, "assert-array-less-compares-np-inf-and-np-inf-now"]], "assert_array_ and masked arrays assert_equal hide less warnings": [[2574, "assert-array-and-masked-arrays-assert-equal-hide-less-warnings"]], "offset attribute value in memmap objects": [[2574, "offset-attribute-value-in-memmap-objects"]], "np.real and np.imag return scalars for scalar inputs": [[2574, "np-real-and-np-imag-return-scalars-for-scalar-inputs"]], "The polynomial convenience classes cannot be passed to ufuncs": [[2574, "the-polynomial-convenience-classes-cannot-be-passed-to-ufuncs"]], "Output arguments to ufuncs can be tuples also for ufunc methods": [[2574, "output-arguments-to-ufuncs-can-be-tuples-also-for-ufunc-methods"]], "NumPy 1.11.2 Release Notes": [[2570, "numpy-1-11-2-release-notes"]], "Pull Requests Merged": [[2570, "pull-requests-merged"], [2571, "pull-requests-merged"]], "NumPy 1.18.5 Release Notes": [[2608, "numpy-1-18-5-release-notes"]], "NumPy 1.16.6 Release Notes": [[2596, "numpy-1-16-6-release-notes"]], "Allow matmul (@ operator) to work with object arrays.": [[2596, "allow-matmul-operator-to-work-with-object-arrays"]], "Fix regression in matmul (@ operator) for boolean types": [[2596, "fix-regression-in-matmul-operator-for-boolean-types"]], "Array comparison assertions include maximum differences": [[2596, "array-comparison-assertions-include-maximum-differences"], [2597, "array-comparison-assertions-include-maximum-differences"], [2591, "array-comparison-assertions-include-maximum-differences"]], "NumPy 1.17.4 Release Notes": [[2601, "numpy-1-17-4-release-notes"]], "NumPy 1.16.0 Release Notes": [[2590, "numpy-1-16-0-release-notes"]], "New deprecations": [[2590, "new-deprecations"], [2594, "new-deprecations"]], "Future changes": [[2590, "future-changes"]], "f2py script on Windows": [[2590, "f2py-script-on-windows"]], "NaT comparisons": [[2590, "nat-comparisons"]], "complex64/128 alignment has changed": [[2590, "complex64-128-alignment-has-changed"]], "nd_grid __len__ removal": [[2590, "nd-grid-len-removal"]], "np.unravel_index now accepts shape keyword argument": [[2590, "np-unravel-index-now-accepts-shape-keyword-argument"]], "multi-field views return a view instead of a copy": [[2590, "multi-field-views-return-a-view-instead-of-a-copy"]], "Integrated squared error (ISE) estimator added to histogram": [[2590, "integrated-squared-error-ise-estimator-added-to-histogram"]], "max_rows keyword added for np.loadtxt": [[2590, "max-rows-keyword-added-for-np-loadtxt"]], "modulus operator support added for np.timedelta64 operands": [[2590, "modulus-operator-support-added-for-np-timedelta64-operands"]], "no-copy pickling of numpy arrays": [[2590, "no-copy-pickling-of-numpy-arrays"]], "build shell independence": [[2590, "build-shell-independence"]], "np.polynomial.Polynomial classes render in LaTeX in Jupyter notebooks": [[2590, "np-polynomial-polynomial-classes-render-in-latex-in-jupyter-notebooks"]], "randint and choice now work on empty distributions": [[2590, "randint-and-choice-now-work-on-empty-distributions"]], "linalg.lstsq, linalg.qr, and linalg.svd now 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"generalized-ufunc-signatures-now-allow-fixed-size-dimensions"]], "Generalized ufunc signatures now allow flexible dimensions": [[2590, "generalized-ufunc-signatures-now-allow-flexible-dimensions"]], "np.clip and the clip method check for memory overlap": [[2590, "np-clip-and-the-clip-method-check-for-memory-overlap"]], "New value unscaled for option cov in np.polyfit": [[2590, "new-value-unscaled-for-option-cov-in-np-polyfit"]], "Detailed docstrings for scalar numeric types": [[2590, "detailed-docstrings-for-scalar-numeric-types"]], "__module__ attribute now points to public modules": [[2590, "module-attribute-now-points-to-public-modules"]], "Large allocations marked as suitable for transparent hugepages": [[2590, "large-allocations-marked-as-suitable-for-transparent-hugepages"]], "Alpine Linux (and other musl c library distros) support": [[2590, "alpine-linux-and-other-musl-c-library-distros-support"]], "Speedup np.block for large arrays": [[2590, "speedup-np-block-for-large-arrays"]], "arr.ctypes.data_as(...) holds a reference to arr": [[2590, "arr-ctypes-data-as-holds-a-reference-to-arr"]], "Speedup np.take for read-only arrays": [[2590, "speedup-np-take-for-read-only-arrays"]], "Support path-like objects for more functions": [[2590, "support-path-like-objects-for-more-functions"]], "Better behaviour of ufunc identities during reductions": [[2590, "better-behaviour-of-ufunc-identities-during-reductions"]], "Improved conversion from ctypes objects": [[2590, "improved-conversion-from-ctypes-objects"]], "A new ndpointer.contents member": [[2590, "a-new-ndpointer-contents-member"]], "matmul is now a ufunc": [[2590, "matmul-is-now-a-ufunc"]], "Start and stop arrays for linspace, logspace and geomspace": [[2590, "start-and-stop-arrays-for-linspace-logspace-and-geomspace"]], "CI extended with additional services": [[2590, "ci-extended-with-additional-services"]], "Comparison ufuncs will now error rather than return NotImplemented": [[2590, "comparison-ufuncs-will-now-error-rather-than-return-notimplemented"]], "Positive will now raise a deprecation warning for non-numerical arrays": [[2590, "positive-will-now-raise-a-deprecation-warning-for-non-numerical-arrays"]], "NDArrayOperatorsMixin now implements matrix multiplication": [[2590, "ndarrayoperatorsmixin-now-implements-matrix-multiplication"]], "The scaling of the covariance matrix in np.polyfit is different": [[2590, "the-scaling-of-the-covariance-matrix-in-np-polyfit-is-different"]], "maximum and minimum no longer emit warnings": [[2590, "maximum-and-minimum-no-longer-emit-warnings"]], "Umath and multiarray c-extension modules merged into a single module": [[2590, "umath-and-multiarray-c-extension-modules-merged-into-a-single-module"]], "getfield validity checks extended": [[2590, "getfield-validity-checks-extended"]], "NumPy functions now support overrides with __array_function__": [[2590, "numpy-functions-now-support-overrides-with-array-function"]], "Arrays based off readonly buffers cannot be set writeable": [[2590, "arrays-based-off-readonly-buffers-cannot-be-set-writeable"]], "NumPy 1.18.1 Release Notes": [[2604, "numpy-1-18-1-release-notes"]], "NumPy 1.14.3 Release Notes": [[2581, "numpy-1-14-3-release-notes"]], "NumPy 1.19.4 Release Notes": [[2613, "numpy-1-19-4-release-notes"]], "NumPy 1.14.0 Release Notes": [[2578, "numpy-1-14-0-release-notes"]], "The mask of a masked array view is also a view rather than a copy": [[2578, "the-mask-of-a-masked-array-view-is-also-a-view-rather-than-a-copy"]], "np.ma.masked is no longer writeable": [[2578, "np-ma-masked-is-no-longer-writeable"]], "np.ma functions producing fill_value s have changed": [[2578, "np-ma-functions-producing-fill-value-s-have-changed"]], "a.flat.__array__() returns non-writeable arrays when a is non-contiguous": [[2578, "a-flat-array-returns-non-writeable-arrays-when-a-is-non-contiguous"]], "np.tensordot now returns zero array when contracting over 0-length dimension": [[2578, "np-tensordot-now-returns-zero-array-when-contracting-over-0-length-dimension"]], "numpy.testing reorganized": [[2578, "numpy-testing-reorganized"]], "np.asfarray no longer accepts non-dtypes through the dtype argument": [[2578, "np-asfarray-no-longer-accepts-non-dtypes-through-the-dtype-argument"]], "1D np.linalg.norm preserves float input types, even for arbitrary orders": [[2578, "d-np-linalg-norm-preserves-float-input-types-even-for-arbitrary-orders"]], "count_nonzero(arr, axis=()) now counts over no axes, not all axes": [[2578, "count-nonzero-arr-axis-now-counts-over-no-axes-not-all-axes"]], "__init__.py files added to test directories": [[2578, "init-py-files-added-to-test-directories"]], ".astype(bool) on unstructured void arrays now calls bool on each element": [[2578, "astype-bool-on-unstructured-void-arrays-now-calls-bool-on-each-element"]], "MaskedArray.squeeze never returns np.ma.masked": [[2578, "maskedarray-squeeze-never-returns-np-ma-masked"]], "Renamed first parameter of can_cast from from to from_": [[2578, "renamed-first-parameter-of-can-cast-from-from-to-from"]], "isnat raises TypeError when passed wrong type": [[2578, "isnat-raises-typeerror-when-passed-wrong-type"]], "dtype.__getitem__ raises TypeError when passed wrong type": [[2578, "dtype-getitem-raises-typeerror-when-passed-wrong-type"]], "User-defined types now need to implement __str__ and __repr__": [[2578, "user-defined-types-now-need-to-implement-str-and-repr"]], "Many changes to array printing, disableable with the new \u201clegacy\u201d printing mode": [[2578, "many-changes-to-array-printing-disableable-with-the-new-legacy-printing-mode"]], "PyPy compatible alternative to UPDATEIFCOPY arrays": [[2578, "pypy-compatible-alternative-to-updateifcopy-arrays"]], "Encoding argument for text IO functions": [[2578, "encoding-argument-for-text-io-functions"]], "External nose plugins are usable by numpy.testing.Tester": [[2578, "external-nose-plugins-are-usable-by-numpy-testing-tester"]], "parametrize decorator added to numpy.testing": [[2578, "parametrize-decorator-added-to-numpy-testing"]], "chebinterpolate function added to numpy.polynomial.chebyshev": [[2578, "chebinterpolate-function-added-to-numpy-polynomial-chebyshev"]], "Support for reading lzma compressed text files in Python 3": [[2578, "support-for-reading-lzma-compressed-text-files-in-python-3"]], "sign option added to np.setprintoptions and np.array2string": [[2578, "sign-option-added-to-np-setprintoptions-and-np-array2string"]], "hermitian option added to``np.linalg.matrix_rank``": [[2578, "hermitian-option-added-to-np-linalg-matrix-rank"]], "threshold and edgeitems options added to np.array2string": [[2578, "threshold-and-edgeitems-options-added-to-np-array2string"]], "concatenate and stack gained an out argument": [[2578, "concatenate-and-stack-gained-an-out-argument"]], "Support for PGI flang compiler on Windows": [[2578, "support-for-pgi-flang-compiler-on-windows"]], "Numerator degrees of freedom in random.noncentral_f need only be positive.": [[2578, "numerator-degrees-of-freedom-in-random-noncentral-f-need-only-be-positive"]], "The GIL is released for all np.einsum variations": [[2578, "the-gil-is-released-for-all-np-einsum-variations"]], "The np.einsum function will use BLAS when possible and optimize by default": [[2578, "the-np-einsum-function-will-use-blas-when-possible-and-optimize-by-default"]], "f2py now handles arrays of dimension 0": [[2578, "f2py-now-handles-arrays-of-dimension-0"]], "numpy.distutils supports using MSVC and mingw64-gfortran together": [[2578, "numpy-distutils-supports-using-msvc-and-mingw64-gfortran-together"]], "np.linalg.pinv now works on stacked matrices": [[2578, "np-linalg-pinv-now-works-on-stacked-matrices"]], "numpy.save aligns data to 64 bytes instead of 16": [[2578, "numpy-save-aligns-data-to-64-bytes-instead-of-16"]], "NPZ files now can be written without using temporary files": [[2578, "npz-files-now-can-be-written-without-using-temporary-files"]], "Better support for empty structured and string types": [[2578, "better-support-for-empty-structured-and-string-types"]], "Support for decimal.Decimal in np.lib.financial": [[2578, "support-for-decimal-decimal-in-np-lib-financial"]], "Float printing now uses \u201cdragon4\u201d algorithm for shortest decimal representation": [[2578, "float-printing-now-uses-dragon4-algorithm-for-shortest-decimal-representation"]], "void datatype elements are now printed in hex notation": [[2578, "void-datatype-elements-are-now-printed-in-hex-notation"]], "printing style for void datatypes is now independently customizable": [[2578, "printing-style-for-void-datatypes-is-now-independently-customizable"]], "Reduced memory usage of np.loadtxt": [[2578, "reduced-memory-usage-of-np-loadtxt"]], "Multiple-field indexing/assignment of structured arrays": [[2578, "multiple-field-indexing-assignment-of-structured-arrays"]], "Integer and Void scalars are now unaffected by np.set_string_function": [[2578, "integer-and-void-scalars-are-now-unaffected-by-np-set-string-function"]], "0d array printing changed, style arg of array2string deprecated": [[2578, "d-array-printing-changed-style-arg-of-array2string-deprecated"]], "Seeding RandomState using an array requires a 1-d array": [[2578, "seeding-randomstate-using-an-array-requires-a-1-d-array"]], "MaskedArray objects show a more useful repr": [[2578, "maskedarray-objects-show-a-more-useful-repr"]], "The repr of np.polynomial classes is more explicit": [[2578, "the-repr-of-np-polynomial-classes-is-more-explicit"]], "Support for testing overrides (numpy.testing.overrides)": [[2549, "support-for-testing-overrides-numpy-testing-overrides"]], "Utility Functions": [[2549, "utility-functions"]], "NumPy 1.20.2 Release Notes": [[2617, "numpy-1-20-2-release-notes"]], "numpy.i: a SWIG Interface File for NumPy": [[2557, "numpy-i-a-swig-interface-file-for-numpy"]], "Using numpy.i": [[2557, "using-numpy-i"]], "Available Typemaps": [[2557, "available-typemaps"]], "Input Arrays": [[2557, "input-arrays"]], "In-Place Arrays": [[2557, "in-place-arrays"]], "Argout Arrays": [[2557, "argout-arrays"]], "Argout View Arrays": [[2557, "argout-view-arrays"]], "Memory Managed Argout View Arrays": [[2557, "memory-managed-argout-view-arrays"]], "Output Arrays": [[2557, "output-arrays"]], "Other Common Types: bool": [[2557, "other-common-types-bool"]], "Other Common Types: complex": [[2557, "other-common-types-complex"]], "NumPy Array Scalars and SWIG": [[2557, "numpy-array-scalars-and-swig"]], "Why is There a Second File?": [[2557, "why-is-there-a-second-file"]], "Helper Functions": [[2557, "helper-functions"]], "Macros": [[2557, "macros"], [69, "macros"]], "Routines": [[2557, "routines"], [2513, "routines"]], "Beyond the Provided Typemaps": [[2557, "beyond-the-provided-typemaps"]], "A Common Example": [[2557, "a-common-example"]], "Other Situations": [[2557, "other-situations"]], "A Final Note": [[2557, "a-final-note"]], "Summary": [[2557, "summary"], [13, "summary"]], "NumPy 1.11.0 Release Notes": [[2568, "numpy-1-11-0-release-notes"]], "datetime64 changes": [[2568, "datetime64-changes"]], "linalg.norm return type changes": [[2568, "linalg-norm-return-type-changes"], [2568, "id2"]], "polynomial fit changes": [[2568, "polynomial-fit-changes"]], "np.dot now raises TypeError instead of ValueError": [[2568, "np-dot-now-raises-typeerror-instead-of-valueerror"], [2568, "id1"]], "% and // operators": [[2568, "and-operators"]], "object dtype detection for old-style classes": [[2568, "object-dtype-detection-for-old-style-classes"]], "np.gradient now supports an axis argument": [[2568, "np-gradient-now-supports-an-axis-argument"]], "np.lexsort now supports arrays with object data-type": [[2568, "np-lexsort-now-supports-arrays-with-object-data-type"]], "np.ma.core.MaskedArray now supports an order argument": [[2568, "np-ma-core-maskedarray-now-supports-an-order-argument"]], "Memory and speed improvements for masked arrays": [[2568, "memory-and-speed-improvements-for-masked-arrays"]], "ndarray.tofile now uses fallocate on linux": [[2568, "ndarray-tofile-now-uses-fallocate-on-linux"]], "Optimizations for operations of the form A.T @ A and A @ A.T": [[2568, "optimizations-for-operations-of-the-form-a-t-a-and-a-a-t"]], "np.testing.assert_warns can now be used as a context manager": [[2568, "np-testing-assert-warns-can-now-be-used-as-a-context-manager"]], "Speed improvement for np.random.shuffle": [[2568, "speed-improvement-for-np-random-shuffle"]], "Pyrex support was removed from numpy.distutils": [[2568, "pyrex-support-was-removed-from-numpy-distutils"]], "np.broadcast can now be called with a single argument": [[2568, "np-broadcast-can-now-be-called-with-a-single-argument"]], "np.trace now respects array subclasses": [[2568, "np-trace-now-respects-array-subclasses"]], "Views of arrays in Fortran order": [[2568, "views-of-arrays-in-fortran-order"]], "Invalid arguments for array ordering": [[2568, "invalid-arguments-for-array-ordering"]], "Random number generator in the testing namespace": [[2568, "random-number-generator-in-the-testing-namespace"]], "Random integer generation on a closed interval": [[2568, "random-integer-generation-on-a-closed-interval"]], "FutureWarnings": [[2568, "futurewarnings"]], "Assigning to slices/views of MaskedArray": [[2568, "assigning-to-slices-views-of-maskedarray"]], "NumPy 1.16.3 Release Notes": [[2593, "numpy-1-16-3-release-notes"]], "Unpickling while loading requires explicit opt-in": [[2593, "unpickling-while-loading-requires-explicit-opt-in"], [2597, "unpickling-while-loading-requires-explicit-opt-in"]], "Covariance in random.mvnormal cast to double": [[2593, "covariance-in-random-mvnormal-cast-to-double"]], "__array_interface__ offset now works as documented": [[2593, "array-interface-offset-now-works-as-documented"], [2597, "array-interface-offset-now-works-as-documented"]], "NumPy 1.20.1 Release Notes": [[2616, "numpy-1-20-1-release-notes"]], "NumPy 1.20.3 Release Notes": [[2618, "numpy-1-20-3-release-notes"]], "CPU build options": [[2552, "cpu-build-options"]], "Description": [[2552, "description"]], "Quick Start": [[2552, "quick-start"], [2506, "quick-start"]], "I am building NumPy for my local use": [[2552, "i-am-building-numpy-for-my-local-use"]], "I do not want to support the old processors of the x86 architecture": [[2552, "i-do-not-want-to-support-the-old-processors-of-the-x86-architecture"]], "I\u2019m facing the same case above but with ppc64 architecture": [[2552, "i-m-facing-the-same-case-above-but-with-ppc64-architecture"]], "Having issues with AVX512 features?": [[2552, "having-issues-with-avx512-features"]], "Supported Features": [[2552, "supported-features"]], "On x86": [[2552, "on-x86"]], "On IBM/POWER big-endian": [[2552, "on-ibm-power-big-endian"]], "On IBM/POWER little-endian": [[2552, "on-ibm-power-little-endian"]], "On ARMv7/A32": [[2552, "on-armv7-a32"]], "On ARMv8/A64": [[2552, "on-armv8-a64"]], "On IBM/ZSYSTEM(S390X)": [[2552, "on-ibm-zsystem-s390x"]], "Special Options": [[2552, "special-options"]], "Behaviors": [[2552, "behaviors"]], "Platform differences": [[2552, "platform-differences"]], "On x86::Intel Compiler": [[2552, "on-x86-intel-compiler"]], "On x86::Microsoft Visual C/C++": [[2552, "on-x86-microsoft-visual-c-c"]], "Build report": [[2552, "build-report"]], "Runtime dispatch": [[2552, "runtime-dispatch"]], "NumPy 1.15.1 Release Notes": [[2586, "numpy-1-15-1-release-notes"]], "Compatibility Note": [[2586, "compatibility-note"], [2587, "compatibility-note"], [2588, "compatibility-note"], [2589, "compatibility-note"]], "Set routines": [[2545, "set-routines"]], "Making proper sets": [[2545, "making-proper-sets"]], "Boolean operations": [[2545, "boolean-operations"]], "NumPy 1.19.2 Release Notes": [[2611, "numpy-1-19-2-release-notes"]], "Add NumPy declarations for Cython 3.0 and later": [[2611, "add-numpy-declarations-for-cython-3-0-and-later"], [2615, "add-numpy-declarations-for-cython-3-0-and-later"]], "NumPy 1.10.3 Release Notes": [[2566, "numpy-1-10-3-release-notes"]], "NumPy 1.18.2 Release Notes": [[2605, "numpy-1-18-2-release-notes"]], "NumPy 1.11.3 Release Notes": [[2571, "numpy-1-11-3-release-notes"]], "Contributors to maintenance/1.11.3": [[2571, "contributors-to-maintenance-1-11-3"]], "NumPy 1.17.0 Release Notes": [[2597, "numpy-1-17-0-release-notes"]], "numpy.polynomial functions warn when passed float in place of int": [[2597, "numpy-polynomial-functions-warn-when-passed-float-in-place-of-int"]], "Deprecate numpy.distutils.exec_command and temp_file_name": [[2597, "deprecate-numpy-distutils-exec-command-and-temp-file-name"]], "Writeable flag of C-API wrapped arrays": [[2597, "writeable-flag-of-c-api-wrapped-arrays"], [2594, "writeable-flag-of-c-api-wrapped-arrays"]], "numpy.nonzero should no longer be called on 0d arrays": [[2597, "numpy-nonzero-should-no-longer-be-called-on-0d-arrays"]], "Writing to the result of numpy.broadcast_arrays will warn": [[2597, "writing-to-the-result-of-numpy-broadcast-arrays-will-warn"]], "Shape-1 fields in dtypes won\u2019t be collapsed to scalars in a future version": [[2597, "shape-1-fields-in-dtypes-won-t-be-collapsed-to-scalars-in-a-future-version"]], "float16 subnormal rounding": [[2597, "float16-subnormal-rounding"]], "Signed zero when using divmod": [[2597, "signed-zero-when-using-divmod"], [2592, "signed-zero-when-using-divmod"]], "MaskedArray.mask now returns a view of the mask, not the mask itself": [[2597, "maskedarray-mask-now-returns-a-view-of-the-mask-not-the-mask-itself"]], "Do not lookup __buffer__ attribute in numpy.frombuffer": [[2597, "do-not-lookup-buffer-attribute-in-numpy-frombuffer"]], "out is buffered for memory overlaps in take, choose, put": [[2597, "out-is-buffered-for-memory-overlaps-in-take-choose-put"]], "Potential changes to the random stream in old random module": [[2597, "potential-changes-to-the-random-stream-in-old-random-module"]], "i0 now always returns a result with the same shape as the input": [[2597, "i0-now-always-returns-a-result-with-the-same-shape-as-the-input"]], "can_cast no longer assumes all unsafe casting is allowed": [[2597, "can-cast-no-longer-assumes-all-unsafe-casting-is-allowed"]], "ndarray.flags.writeable can be switched to true slightly more often": [[2597, "ndarray-flags-writeable-can-be-switched-to-true-slightly-more-often"]], "dimension or stride input arguments are now passed by npy_intp const*": [[2597, "dimension-or-stride-input-arguments-are-now-passed-by-npy-intp-const"]], "New extensible numpy.random module with selectable random number generators": [[2597, "new-extensible-numpy-random-module-with-selectable-random-number-generators"]], "libFLAME": [[2597, "libflame"]], "User-defined BLAS detection order": [[2597, "user-defined-blas-detection-order"]], "User-defined LAPACK detection order": [[2597, "user-defined-lapack-detection-order"]], "ufunc.reduce and related functions now accept a where mask": [[2597, "ufunc-reduce-and-related-functions-now-accept-a-where-mask"]], "Timsort and radix sort have replaced mergesort for stable sorting": [[2597, "timsort-and-radix-sort-have-replaced-mergesort-for-stable-sorting"]], "packbits and unpackbits accept an order keyword": [[2597, "packbits-and-unpackbits-accept-an-order-keyword"]], "unpackbits now accepts a count parameter": [[2597, "unpackbits-now-accepts-a-count-parameter"]], "linalg.svd and linalg.pinv can be faster on hermitian inputs": [[2597, "linalg-svd-and-linalg-pinv-can-be-faster-on-hermitian-inputs"]], "divmod operation is now supported for two timedelta64 operands": [[2597, "divmod-operation-is-now-supported-for-two-timedelta64-operands"], [2591, "divmod-operation-is-now-supported-for-two-timedelta64-operands"]], "fromfile now takes an offset argument": [[2597, "fromfile-now-takes-an-offset-argument"]], "New mode \u201cempty\u201d for pad": [[2597, "new-mode-empty-for-pad"]], "empty_like and related functions now accept a shape argument": [[2597, "empty-like-and-related-functions-now-accept-a-shape-argument"]], "Floating point scalars implement as_integer_ratio to match the builtin float": [[2597, "floating-point-scalars-implement-as-integer-ratio-to-match-the-builtin-float"]], "Structured dtype objects can be indexed with multiple fields names": [[2597, "structured-dtype-objects-can-be-indexed-with-multiple-fields-names"]], ".npy files support unicode field names": [[2597, "npy-files-support-unicode-field-names"]], "Replacement of the fftpack based fft module by the pocketfft library": [[2597, "replacement-of-the-fftpack-based-fft-module-by-the-pocketfft-library"]], "Further improvements to ctypes support in numpy.ctypeslib": [[2597, "further-improvements-to-ctypes-support-in-numpy-ctypeslib"]], "numpy.errstate is now also a function decorator": [[2597, "numpy-errstate-is-now-also-a-function-decorator"]], "numpy.exp and numpy.log speed up for float32 implementation": [[2597, "numpy-exp-and-numpy-log-speed-up-for-float32-implementation"]], "Improve performance of numpy.pad": [[2597, "improve-performance-of-numpy-pad"]], "numpy.interp handles infinities more robustly": [[2597, "numpy-interp-handles-infinities-more-robustly"]], "Pathlib support for fromfile, tofile and ndarray.dump": [[2597, "pathlib-support-for-fromfile-tofile-and-ndarray-dump"]], "Specialized isnan, isinf, and isfinite ufuncs for bool and int types": [[2597, "specialized-isnan-isinf-and-isfinite-ufuncs-for-bool-and-int-types"]], "isfinite supports datetime64 and timedelta64 types": [[2597, "isfinite-supports-datetime64-and-timedelta64-types"]], "New keywords added to nan_to_num": [[2597, "new-keywords-added-to-nan-to-num"]], "MemoryErrors caused by allocated overly large arrays are more descriptive": [[2597, "memoryerrors-caused-by-allocated-overly-large-arrays-are-more-descriptive"]], "floor, ceil, and trunc now respect builtin magic methods": [[2597, "floor-ceil-and-trunc-now-respect-builtin-magic-methods"]], "quantile now works on fraction.Fraction and decimal.Decimal objects": [[2597, "quantile-now-works-on-fraction-fraction-and-decimal-decimal-objects"]], "Support of object arrays in matmul": [[2597, "support-of-object-arrays-in-matmul"]], "median and percentile family of functions no longer warn about nan": [[2597, "median-and-percentile-family-of-functions-no-longer-warn-about-nan"]], "timedelta64 % 0 behavior adjusted to return NaT": [[2597, "timedelta64-0-behavior-adjusted-to-return-nat"], [2591, "timedelta64-0-behavior-adjusted-to-return-nat"]], "NumPy functions now always support overrides with __array_function__": [[2597, "numpy-functions-now-always-support-overrides-with-array-function"]], "lib.recfunctions.structured_to_unstructured does not squeeze single-field views": [[2597, "lib-recfunctions-structured-to-unstructured-does-not-squeeze-single-field-views"]], "clip now uses a ufunc under the hood": [[2597, "clip-now-uses-a-ufunc-under-the-hood"]], "Pickle protocol in savez set to 3 for force zip64 flag": [[2597, "pickle-protocol-in-savez-set-to-3-for-force-zip64-flag"]], "Structured arrays indexed with non-existent fields raise KeyError not ValueError": [[2597, "structured-arrays-indexed-with-non-existent-fields-raise-keyerror-not-valueerror"]], "NumPy 1.19.1 Release Notes": [[2610, "numpy-1-19-1-release-notes"]], "Poly1d": [[2542, "poly1d"]], "Basics": [[2542, "basics"], [2536, "basics"]], "Fitting": [[2542, "fitting"], [2536, "fitting"]], "Calculus": [[2542, "calculus"], [2543, "calculus"], [2537, "calculus"], [2536, "calculus"], [2540, "calculus"], [2535, "calculus"], [2538, "calculus"], [2541, "calculus"], [2539, "calculus"]], "Arithmetic": [[2542, "arithmetic"], [2543, "arithmetic"], [2537, "arithmetic"], [2529, "arithmetic"], [2540, "arithmetic"], [2535, "arithmetic"], [2538, "arithmetic"], [2539, "arithmetic"]], "Warnings": [[2542, "warnings"], [2532, "warnings"]], "NumPy 1.19.0 Release Notes": [[2609, "numpy-1-19-0-release-notes"]], "numpy.insert and numpy.delete can no longer be passed an axis on 0d arrays": [[2609, "numpy-insert-and-numpy-delete-can-no-longer-be-passed-an-axis-on-0d-arrays"]], "numpy.delete no longer ignores out-of-bounds indices": [[2609, "numpy-delete-no-longer-ignores-out-of-bounds-indices"]], "numpy.insert and numpy.delete no longer accept non-integral indices": [[2609, "numpy-insert-and-numpy-delete-no-longer-accept-non-integral-indices"]], "numpy.delete no longer casts boolean indices to integers": [[2609, "numpy-delete-no-longer-casts-boolean-indices-to-integers"]], "Changed random variate stream from numpy.random.Generator.dirichlet": [[2609, "changed-random-variate-stream-from-numpy-random-generator-dirichlet"]], "Scalar promotion in PyArray_ConvertToCommonType": [[2609, "scalar-promotion-in-pyarray-converttocommontype"]], "Fasttake and fastputmask slots are deprecated and NULL\u2019ed": [[2609, "fasttake-and-fastputmask-slots-are-deprecated-and-null-ed"]], "np.ediff1d casting behaviour with to_end and to_begin": [[2609, "np-ediff1d-casting-behaviour-with-to-end-and-to-begin"]], "Converting of empty array-like objects to NumPy arrays": [[2609, "converting-of-empty-array-like-objects-to-numpy-arrays"]], "Removed multiarray.int_asbuffer": [[2609, "removed-multiarray-int-asbuffer"]], "numpy.distutils.compat has been removed": [[2609, "numpy-distutils-compat-has-been-removed"]], "issubdtype no longer interprets float as np.floating": [[2609, "issubdtype-no-longer-interprets-float-as-np-floating"]], "Change output of round on scalars to be consistent with Python": [[2609, "change-output-of-round-on-scalars-to-be-consistent-with-python"]], "The numpy.ndarray constructor no longer interprets strides=() as strides=None": [[2609, "the-numpy-ndarray-constructor-no-longer-interprets-strides-as-strides-none"]], "C-Level string to datetime casts changed": [[2609, "c-level-string-to-datetime-casts-changed"]], "SeedSequence with small seeds no longer conflicts with spawning": [[2609, "seedsequence-with-small-seeds-no-longer-conflicts-with-spawning"]], "Deprecate automatic dtype=object for ragged input": [[2609, "deprecate-automatic-dtype-object-for-ragged-input"]], "Passing shape=0 to factory functions in numpy.rec is deprecated": [[2609, "passing-shape-0-to-factory-functions-in-numpy-rec-is-deprecated"]], "Deprecation of probably unused C-API functions": [[2609, "deprecation-of-probably-unused-c-api-functions"]], "Converting certain types to dtypes is Deprecated": [[2609, "converting-certain-types-to-dtypes-is-deprecated"]], "Deprecation of round for np.complexfloating scalars": [[2609, "deprecation-of-round-for-np-complexfloating-scalars"]], "numpy.ndarray.tostring() is deprecated in favor of tobytes()": [[2609, "numpy-ndarray-tostring-is-deprecated-in-favor-of-tobytes"]], "Better support for const dimensions in API functions": [[2609, "better-support-for-const-dimensions-in-api-functions"]], "Const qualify UFunc inner loops": [[2609, "const-qualify-ufunc-inner-loops"]], "numpy.frompyfunc now accepts an identity argument": [[2609, "numpy-frompyfunc-now-accepts-an-identity-argument"]], "np.str_ scalars now support the buffer protocol": [[2609, "np-str-scalars-now-support-the-buffer-protocol"]], "subok option for numpy.copy": [[2609, "subok-option-for-numpy-copy"]], "numpy.linalg.multi_dot now accepts an out argument": [[2609, "numpy-linalg-multi-dot-now-accepts-an-out-argument"]], "keepdims parameter for numpy.count_nonzero": [[2609, "keepdims-parameter-for-numpy-count-nonzero"]], "equal_nan parameter for numpy.array_equal": [[2609, "equal-nan-parameter-for-numpy-array-equal"]], "Improve detection of CPU features": [[2609, "improve-detection-of-cpu-features"]], "Use 64-bit integer size on 64-bit platforms in fallback lapack_lite": [[2609, "use-64-bit-integer-size-on-64-bit-platforms-in-fallback-lapack-lite"]], "Use AVX512 intrinsic to implement np.exp when input is np.float64": [[2609, "use-avx512-intrinsic-to-implement-np-exp-when-input-is-np-float64"]], "Ability to disable madvise hugepages": [[2609, "ability-to-disable-madvise-hugepages"]], "numpy.einsum accepts NumPy int64 type in subscript list": [[2609, "numpy-einsum-accepts-numpy-int64-type-in-subscript-list"]], "np.logaddexp2.identity changed to -inf": [[2609, "np-logaddexp2-identity-changed-to-inf"]], "Remove handling of extra argument to __array__": [[2609, "remove-handling-of-extra-argument-to-array"]], "numpy.random._bit_generator moved to numpy.random.bit_generator": [[2609, "numpy-random-bit-generator-moved-to-numpy-random-bit-generator"]], "Cython access to the random distributions is provided via a pxd file": [[2609, "cython-access-to-the-random-distributions-is-provided-via-a-pxd-file"]], "Fixed eigh and cholesky methods in numpy.random.multivariate_normal": [[2609, "fixed-eigh-and-cholesky-methods-in-numpy-random-multivariate-normal"]], "Fixed the jumping implementation in MT19937.jumped": [[2609, "fixed-the-jumping-implementation-in-mt19937-jumped"]], "NumPy 1.17.5 Release Notes": [[2602, "numpy-1-17-5-release-notes"]], "NumPy 1.15.2 Release Notes": [[2587, "numpy-1-15-2-release-notes"]], "NumPy 1.19.3 Release Notes": [[2612, "numpy-1-19-3-release-notes"]], "NumPy 1.21.3 Release Notes": [[2622, "numpy-1-21-3-release-notes"]], "NumPy 1.12.1 Release Notes": [[2573, "numpy-1-12-1-release-notes"]], "Bugs Fixed": [[2573, "bugs-fixed"]], "Universal functions (ufunc)": [[2561, "universal-functions-ufunc"]], "ufunc": [[2561, "ufunc"]], "Optional keyword arguments": [[2561, "optional-keyword-arguments"]], "Attributes": [[2561, "attributes"], [36, "attributes"], [52, "attributes"], [58, "attributes"]], "Methods": [[2561, "methods"], [52, "methods"], [19, "methods"], [58, "methods"]], "Available ufuncs": [[2561, "available-ufuncs"]], "Math operations": [[2561, "math-operations"]], "Trigonometric functions": [[2561, "trigonometric-functions"], [2530, "trigonometric-functions"]], "Bit-twiddling functions": [[2561, "bit-twiddling-functions"]], "Comparison functions": [[2561, "comparison-functions"]], "Floating functions": [[2561, "floating-functions"]], "NumPy 1.15.3 Release Notes": [[2588, "numpy-1-15-3-release-notes"]], "NumPy 1.10.0 Release Notes": [[2563, "numpy-1-10-0-release-notes"]], "Default casting rule change": [[2563, "default-casting-rule-change"]], "numpy version string": [[2563, "numpy-version-string"]], "relaxed stride checking": [[2563, "relaxed-stride-checking"]], "Concatenation of 1d arrays along any but axis=0 raises IndexError": [[2563, "concatenation-of-1d-arrays-along-any-but-axis-0-raises-indexerror"]], "np.ravel, np.diagonal and np.diag now preserve subtypes": [[2563, "np-ravel-np-diagonal-and-np-diag-now-preserve-subtypes"]], "rollaxis and swapaxes always return a view": [[2563, "rollaxis-and-swapaxes-always-return-a-view"]], "nonzero now returns base ndarrays": [[2563, "nonzero-now-returns-base-ndarrays"]], "recarray field return types": [[2563, "recarray-field-return-types"]], "recarray views": [[2563, "recarray-views"]], "\u2018out\u2019 keyword argument of ufuncs now accepts tuples of arrays": [[2563, "out-keyword-argument-of-ufuncs-now-accepts-tuples-of-arrays"]], "byte-array indices now raises an IndexError": [[2563, "byte-array-indices-now-raises-an-indexerror"]], "Masked arrays containing objects with arrays": [[2563, "masked-arrays-containing-objects-with-arrays"]], "Median warns and returns nan when invalid values are encountered": [[2563, "median-warns-and-returns-nan-when-invalid-values-are-encountered"]], "Functions available from numpy.ma.testutils have changed": [[2563, "functions-available-from-numpy-ma-testutils-have-changed"]], "Reading extra flags from site.cfg": [[2563, "reading-extra-flags-from-site-cfg"]], "np.cbrt to compute cube root for real floats": [[2563, "np-cbrt-to-compute-cube-root-for-real-floats"]], "numpy.distutils now allows parallel compilation": [[2563, "numpy-distutils-now-allows-parallel-compilation"]], "genfromtxt has a new max_rows argument": [[2563, "genfromtxt-has-a-new-max-rows-argument"]], "New function np.broadcast_to for invoking array broadcasting": [[2563, "new-function-np-broadcast-to-for-invoking-array-broadcasting"]], "New context manager clear_and_catch_warnings for testing warnings": [[2563, "new-context-manager-clear-and-catch-warnings-for-testing-warnings"]], "cov has new fweights and aweights arguments": [[2563, "cov-has-new-fweights-and-aweights-arguments"]], "Support for the \u2018@\u2019 operator in Python 3.5+": [[2563, "support-for-the-operator-in-python-3-5"]], "New argument norm to fft functions": [[2563, "new-argument-norm-to-fft-functions"]], "np.digitize using binary search": [[2563, "np-digitize-using-binary-search"]], "np.poly now casts integer inputs to float": [[2563, "np-poly-now-casts-integer-inputs-to-float"]], "np.interp can now be used with periodic functions": [[2563, "np-interp-can-now-be-used-with-periodic-functions"]], "np.pad supports more input types for pad_width and constant_values": [[2563, "np-pad-supports-more-input-types-for-pad-width-and-constant-values"]], "np.argmax and np.argmin now support an out argument": [[2563, "np-argmax-and-np-argmin-now-support-an-out-argument"]], "More system C99 complex functions detected and used": [[2563, "more-system-c99-complex-functions-detected-and-used"]], "np.loadtxt support for the strings produced by the float.hex method": [[2563, "np-loadtxt-support-for-the-strings-produced-by-the-float-hex-method"]], "np.isclose properly handles minimal values of integer dtypes": [[2563, "np-isclose-properly-handles-minimal-values-of-integer-dtypes"]], "np.allclose uses np.isclose internally.": [[2563, "np-allclose-uses-np-isclose-internally"]], "np.genfromtxt now handles large integers correctly": [[2563, "np-genfromtxt-now-handles-large-integers-correctly"]], "np.load, np.save have pickle backward compatibility flags": [[2563, "np-load-np-save-have-pickle-backward-compatibility-flags"]], "dotblas functionality moved to multiarray": [[2563, "dotblas-functionality-moved-to-multiarray"]], "stricter check of gufunc signature compliance": [[2563, "stricter-check-of-gufunc-signature-compliance"]], "views returned from np.einsum are writeable": [[2563, "views-returned-from-np-einsum-are-writeable"]], "np.argmin skips NaT values": [[2563, "np-argmin-skips-nat-values"]], "Array comparisons involving strings or structured dtypes": [[2563, "array-comparisons-involving-strings-or-structured-dtypes"]], "SafeEval": [[2563, "safeeval"]], "alterdot, restoredot": [[2563, "alterdot-restoredot"]], "pkgload, PackageLoader": [[2563, "pkgload-packageloader"]], "bias, ddof arguments to corrcoef": [[2563, "bias-ddof-arguments-to-corrcoef"]], "dtype string representation changes": [[2563, "dtype-string-representation-changes"]], "NumPy 1.15.0 Release Notes": [[2585, "numpy-1-15-0-release-notes"]], "Compiled testing modules renamed and made private": [[2585, "compiled-testing-modules-renamed-and-made-private"]], "The NpzFile returned by np.savez is now a collections.abc.Mapping": [[2585, "the-npzfile-returned-by-np-savez-is-now-a-collections-abc-mapping"]], "Under certain conditions, nditer must be used in a context manager": [[2585, "under-certain-conditions-nditer-must-be-used-in-a-context-manager"]], "Numpy has switched to using pytest instead of nose for testing": [[2585, "numpy-has-switched-to-using-pytest-instead-of-nose-for-testing"]], "Numpy no longer monkey-patches ctypes with __array_interface__": [[2585, "numpy-no-longer-monkey-patches-ctypes-with-array-interface"]], "np.ma.notmasked_contiguous and np.ma.flatnotmasked_contiguous always return lists": [[2585, "np-ma-notmasked-contiguous-and-np-ma-flatnotmasked-contiguous-always-return-lists"]], "np.squeeze restores old behavior of objects that cannot handle an axis argument": [[2585, "np-squeeze-restores-old-behavior-of-objects-that-cannot-handle-an-axis-argument"]], "unstructured void array\u2019s .item method now returns a bytes object": [[2585, "unstructured-void-array-s-item-method-now-returns-a-bytes-object"]], "copy.copy and copy.deepcopy no longer turn masked into an array": [[2585, "copy-copy-and-copy-deepcopy-no-longer-turn-masked-into-an-array"]], "Multifield Indexing of Structured Arrays will still return a copy": [[2585, "multifield-indexing-of-structured-arrays-will-still-return-a-copy"]], "New functions npy_get_floatstatus_barrier and npy_clear_floatstatus_barrier": [[2585, "new-functions-npy-get-floatstatus-barrier-and-npy-clear-floatstatus-barrier"]], "Changes to PyArray_GetDTypeTransferFunction": [[2585, "changes-to-pyarray-getdtypetransferfunction"]], "np.gcd and np.lcm ufuncs added for integer and objects types": [[2585, "np-gcd-and-np-lcm-ufuncs-added-for-integer-and-objects-types"]], "Support for cross-platform builds for iOS": [[2585, "support-for-cross-platform-builds-for-ios"]], "return_indices keyword added for np.intersect1d": [[2585, "return-indices-keyword-added-for-np-intersect1d"]], "np.quantile and np.nanquantile": [[2585, "np-quantile-and-np-nanquantile"]], "np.einsum updates": [[2585, "np-einsum-updates"]], "np.ufunc.reduce and related functions now accept an initial value": [[2585, "np-ufunc-reduce-and-related-functions-now-accept-an-initial-value"]], "np.flip can operate over multiple axes": [[2585, "np-flip-can-operate-over-multiple-axes"]], "histogram and histogramdd functions have moved to np.lib.histograms": [[2585, "histogram-and-histogramdd-functions-have-moved-to-np-lib-histograms"]], "histogram will accept NaN values when explicit bins are given": [[2585, "histogram-will-accept-nan-values-when-explicit-bins-are-given"]], "histogram works on datetime types, when explicit bin edges are given": [[2585, "histogram-works-on-datetime-types-when-explicit-bin-edges-are-given"]], "histogram \u201cauto\u201d estimator handles limited variance better": [[2585, "histogram-auto-estimator-handles-limited-variance-better"]], "The edges returned by histogram` and histogramdd now match the data float type": [[2585, "the-edges-returned-by-histogram-and-histogramdd-now-match-the-data-float-type"]], "histogramdd allows explicit ranges to be given in a subset of axes": [[2585, "histogramdd-allows-explicit-ranges-to-be-given-in-a-subset-of-axes"]], "The normed arguments of histogramdd and histogram2d have been renamed": [[2585, "the-normed-arguments-of-histogramdd-and-histogram2d-have-been-renamed"]], "np.r_ works with 0d arrays, and np.ma.mr_ works with np.ma.masked": [[2585, "np-r-works-with-0d-arrays-and-np-ma-mr-works-with-np-ma-masked"]], "np.ptp accepts a keepdims argument, and extended axis tuples": [[2585, "np-ptp-accepts-a-keepdims-argument-and-extended-axis-tuples"]], "MaskedArray.astype now is identical to ndarray.astype": [[2585, "maskedarray-astype-now-is-identical-to-ndarray-astype"]], "Enable AVX2/AVX512 at compile time": [[2585, "enable-avx2-avx512-at-compile-time"]], "nan_to_num always returns scalars when receiving scalar or 0d inputs": [[2585, "nan-to-num-always-returns-scalars-when-receiving-scalar-or-0d-inputs"]], "np.flatnonzero works on numpy-convertible types": [[2585, "np-flatnonzero-works-on-numpy-convertible-types"]], "np.interp returns numpy scalars rather than builtin scalars": [[2585, "np-interp-returns-numpy-scalars-rather-than-builtin-scalars"]], "Allow dtype field names to be unicode in Python 2": [[2585, "allow-dtype-field-names-to-be-unicode-in-python-2"]], "Comparison ufuncs accept dtype=object, overriding the default bool": [[2585, "comparison-ufuncs-accept-dtype-object-overriding-the-default-bool"]], "sort functions accept kind='stable'": [[2585, "sort-functions-accept-kind-stable"]], "Do not make temporary copies for in-place accumulation": [[2585, "do-not-make-temporary-copies-for-in-place-accumulation"]], "linalg.matrix_power can now handle stacks of matrices": [[2585, "linalg-matrix-power-can-now-handle-stacks-of-matrices"]], "Increased performance in random.permutation for multidimensional arrays": [[2585, "increased-performance-in-random-permutation-for-multidimensional-arrays"]], "Generalized ufuncs now accept axes, axis and keepdims arguments": [[2585, "generalized-ufuncs-now-accept-axes-axis-and-keepdims-arguments"]], "float128 values now print correctly on ppc systems": [[2585, "float128-values-now-print-correctly-on-ppc-systems"]], "New np.take_along_axis and np.put_along_axis functions": [[2585, "new-np-take-along-axis-and-np-put-along-axis-functions"]], "NumPy 1.17.3 Release Notes": [[2600, "numpy-1-17-3-release-notes"]], "NumPy 1.14.6 Release Notes": [[2584, "numpy-1-14-6-release-notes"]], "NumPy 1.16.5 Release Notes": [[2595, "numpy-1-16-5-release-notes"]], "NumPy 1.10.1 Release Notes": [[2564, "numpy-1-10-1-release-notes"]], "NumPy 1.17.2 Release Notes": [[2599, "numpy-1-17-2-release-notes"]], "Power Series (numpy.polynomial.polynomial)": [[2543, "power-series-numpy-polynomial-polynomial"]], "Classes": [[2543, "classes"], [2537, "classes"], [2540, "classes"], [2535, "classes"], [2538, "classes"], [2539, "classes"]], "Constants": [[2543, "constants"], [70, "module-numpy.doc.constants"], [69, "constants"], [2537, "constants"], [2529, "constants"], [2540, "constants"], [2535, "constants"], [2538, "constants"], [2541, "constants"], [2539, "constants"]], "Misc Functions": [[2543, "misc-functions"], [2537, "misc-functions"], [2540, "misc-functions"], [2535, "misc-functions"], [2538, "misc-functions"], [2539, "misc-functions"]], "See Also": [[2543, "see-also"], [2560, null], [2560, null]], "NumPy 1.10.2 Release Notes": [[2565, "numpy-1-10-2-release-notes"]], "Relaxed stride checking is no longer the default": [[2565, "relaxed-stride-checking-is-no-longer-the-default"]], "Fix swig bug in numpy.i": [[2565, "fix-swig-bug-in-numpy-i"]], "Deprecate views changing dimensions in fortran order": [[2565, "deprecate-views-changing-dimensions-in-fortran-order"]], "Merged PRs": [[2565, "merged-prs"], [2567, "merged-prs"]], "NumPy 1.19.5 Release Notes": [[2614, "numpy-1-19-5-release-notes"]], "Typing (numpy.typing)": [[2560, "typing-numpy-typing"]], "Mypy plugin": [[2560, "mypy-plugin"]], "Differences from the runtime NumPy API": [[2560, "differences-from-the-runtime-numpy-api"]], "ArrayLike": [[2560, "arraylike"]], "ndarray": [[2560, "ndarray"]], "DTypeLike": [[2560, "dtypelike"]], "Number precision": [[2560, "number-precision"]], "Timedelta64": [[2560, "timedelta64"]], "0D arrays": [[2560, "d-arrays"]], "Record array dtypes": [[2560, "record-array-dtypes"]], "API": [[2560, "api"]], "NumPy 1.12.0 Release Notes": [[2572, "numpy-1-12-0-release-notes"]], "Added Support": [[2572, "added-support"]], "Assignment of ndarray object\u2019s data attribute": [[2572, "assignment-of-ndarray-object-s-data-attribute"]], "Unsafe int casting of the num attribute in linspace": [[2572, "unsafe-int-casting-of-the-num-attribute-in-linspace"]], "Insufficient bit width parameter to binary_repr": [[2572, "insufficient-bit-width-parameter-to-binary-repr"]], "Multiple-field manipulation of structured arrays": [[2572, "multiple-field-manipulation-of-structured-arrays"]], "power and ** raise errors for integer to negative integer powers": [[2572, "power-and-raise-errors-for-integer-to-negative-integer-powers"]], "Relaxed stride checking is the default": [[2572, "relaxed-stride-checking-is-the-default"]], "The np.percentile \u2018midpoint\u2019 interpolation method fixed for exact indices": [[2572, "the-np-percentile-midpoint-interpolation-method-fixed-for-exact-indices"]], "keepdims kwarg is passed through to user-class methods": [[2572, "keepdims-kwarg-is-passed-through-to-user-class-methods"]], "bitwise_and identity changed": [[2572, "bitwise-and-identity-changed"], [2572, "id1"]], "ma.median warns and returns nan when unmasked invalid values are encountered": [[2572, "ma-median-warns-and-returns-nan-when-unmasked-invalid-values-are-encountered"]], "Greater consistency in assert_almost_equal": [[2572, "greater-consistency-in-assert-almost-equal"]], "NoseTester behaviour of warnings during testing": [[2572, "nosetester-behaviour-of-warnings-during-testing"]], "assert_warns and deprecated decorator more specific": [[2572, "assert-warns-and-deprecated-decorator-more-specific"]], "Writeable keyword argument for as_strided": [[2572, "writeable-keyword-argument-for-as-strided"]], "axes keyword argument for rot90": [[2572, "axes-keyword-argument-for-rot90"]], "Generalized flip": [[2572, "generalized-flip"]], "BLIS support in numpy.distutils": [[2572, "blis-support-in-numpy-distutils"]], "Hook in numpy/__init__.py to run distribution-specific checks": [[2572, "hook-in-numpy-init-py-to-run-distribution-specific-checks"]], "New nanfunctions nancumsum and nancumprod added": [[2572, "new-nanfunctions-nancumsum-and-nancumprod-added"]], "np.interp can now interpolate complex values": [[2572, "np-interp-can-now-interpolate-complex-values"]], "New polynomial evaluation function polyvalfromroots added": [[2572, "new-polynomial-evaluation-function-polyvalfromroots-added"]], "New array creation function geomspace added": [[2572, "new-array-creation-function-geomspace-added"]], "New context manager for testing warnings": [[2572, "new-context-manager-for-testing-warnings"]], "New masked array functions ma.convolve and ma.correlate added": [[2572, "new-masked-array-functions-ma-convolve-and-ma-correlate-added"]], "New float_power ufunc": [[2572, "new-float-power-ufunc"]], "np.loadtxt now supports a single integer as usecol argument": [[2572, "np-loadtxt-now-supports-a-single-integer-as-usecol-argument"]], "Improved automated bin estimators for histogram": [[2572, "improved-automated-bin-estimators-for-histogram"]], "np.roll can now roll multiple axes at the same time": [[2572, "np-roll-can-now-roll-multiple-axes-at-the-same-time"]], "The __complex__ method has been implemented for the ndarrays": [[2572, "the-complex-method-has-been-implemented-for-the-ndarrays"]], "pathlib.Path objects now supported": [[2572, "pathlib-path-objects-now-supported"]], "New bits attribute for np.finfo": [[2572, "new-bits-attribute-for-np-finfo"]], "New signature argument to np.vectorize": [[2572, "new-signature-argument-to-np-vectorize"]], "Emit py3kwarnings for division of integer arrays": [[2572, "emit-py3kwarnings-for-division-of-integer-arrays"]], "numpy.sctypes now includes bytes on Python3 too": [[2572, "numpy-sctypes-now-includes-bytes-on-python3-too"]], "Generalized Ufuncs will now unlock the GIL": [[2572, "generalized-ufuncs-will-now-unlock-the-gil"]], "Caches in np.fft are now bounded in total size and item count": [[2572, "caches-in-np-fft-are-now-bounded-in-total-size-and-item-count"]], "Improved handling of zero-width string/unicode dtypes": [[2572, "improved-handling-of-zero-width-string-unicode-dtypes"]], "Integer ufuncs vectorized with AVX2": [[2572, "integer-ufuncs-vectorized-with-avx2"]], "Order of operations optimization in np.einsum": [[2572, "order-of-operations-optimization-in-np-einsum"]], "quicksort has been changed to an introsort": [[2572, "quicksort-has-been-changed-to-an-introsort"]], "ediff1d improved performance and subclass handling": [[2572, "ediff1d-improved-performance-and-subclass-handling"]], "Improved precision of ndarray.mean for float16 arrays": [[2572, "improved-precision-of-ndarray-mean-for-float16-arrays"]], "All array-like methods are now called with keyword arguments in fromnumeric.py": [[2572, "all-array-like-methods-are-now-called-with-keyword-arguments-in-fromnumeric-py"]], "Operations on np.memmap objects return numpy arrays in most cases": [[2572, "operations-on-np-memmap-objects-return-numpy-arrays-in-most-cases"]], "stacklevel of warnings increased": [[2572, "stacklevel-of-warnings-increased"]], "NumPy 1.13.3 Release Notes": [[2577, "numpy-1-13-3-release-notes"]], "NumPy 1.14.1 Release Notes": [[2579, "numpy-1-14-1-release-notes"]], "NumPy 1.16.1 Release Notes": [[2591, "numpy-1-16-1-release-notes"]], "Enhancements": [[2591, "enhancements"]], "Further improvements to ctypes support in np.ctypeslib": [[2591, "further-improvements-to-ctypes-support-in-np-ctypeslib"]], "NumPy 1.14.2 Release Notes": [[2580, "numpy-1-14-2-release-notes"]], "NumPy 1.21.4 Release Notes": [[2623, "numpy-1-21-4-release-notes"]], "NumPy 1.13.1 Release Notes": [[2575, "numpy-1-13-1-release-notes"]], "NumPy 1.18.4 Release Notes": [[2607, "numpy-1-18-4-release-notes"]], "NumPy 1.15.4 Release Notes": [[2589, "numpy-1-15-4-release-notes"]], "NumPy 1.10.4 Release Notes": [[2567, "numpy-1-10-4-release-notes"]], "NumPy 1.16.4 Release Notes": [[2594, "numpy-1-16-4-release-notes"]], "Potential changes to the random stream": [[2594, "potential-changes-to-the-random-stream"]], "numpy.lib.recfunctions.structured_to_unstructured does not squeeze single-field views": [[2594, "numpy-lib-recfunctions-structured-to-unstructured-does-not-squeeze-single-field-views"]], "NumPy 1.21.1 Release Notes": [[2620, "numpy-1-21-1-release-notes"]], "NumPy and SWIG": [[2556, "numpy-and-swig"]], "NumPy 1.16.2 Release Notes": [[2592, "numpy-1-16-2-release-notes"]], "Release notes": [[2562, "release-notes"]], "NumPy 1.20.0 Release Notes": [[2615, "numpy-1-20-0-release-notes"]], "The random.Generator class has a new permuted function.": [[2615, "the-random-generator-class-has-a-new-permuted-function"]], "sliding_window_view provides a sliding window view for numpy arrays": [[2615, "sliding-window-view-provides-a-sliding-window-view-for-numpy-arrays"]], "numpy.broadcast_shapes is a new user-facing function": [[2615, "numpy-broadcast-shapes-is-a-new-user-facing-function"]], "Using the aliases of builtin types like np.int is deprecated": [[2615, "using-the-aliases-of-builtin-types-like-np-int-is-deprecated"]], "Passing shape=None to functions with a non-optional shape argument is deprecated": [[2615, "passing-shape-none-to-functions-with-a-non-optional-shape-argument-is-deprecated"]], "Indexing errors will be reported even when index result is empty": [[2615, "indexing-errors-will-be-reported-even-when-index-result-is-empty"]], "Inexact matches for mode and searchside are deprecated": [[2615, "inexact-matches-for-mode-and-searchside-are-deprecated"]], "Deprecation of numpy.dual": [[2615, "deprecation-of-numpy-dual"]], "outer and ufunc.outer deprecated for matrix": [[2615, "outer-and-ufunc-outer-deprecated-for-matrix"]], "Further Numeric Style types Deprecated": [[2615, "further-numeric-style-types-deprecated"]], "The ndincr method of ndindex is deprecated": [[2615, "the-ndincr-method-of-ndindex-is-deprecated"]], "ArrayLike objects which do not define __len__ and __getitem__": [[2615, "arraylike-objects-which-do-not-define-len-and-getitem"]], "Arrays cannot be using subarray dtypes": [[2615, "arrays-cannot-be-using-subarray-dtypes"]], "Financial functions removed": [[2615, "financial-functions-removed"]], "isinstance(dtype, np.dtype) and not type(dtype) is not np.dtype": [[2615, "isinstance-dtype-np-dtype-and-not-type-dtype-is-not-np-dtype"]], "Same kind casting in concatenate with axis=None": [[2615, "same-kind-casting-in-concatenate-with-axis-none"]], "NumPy Scalars are cast when assigned to arrays": [[2615, "numpy-scalars-are-cast-when-assigned-to-arrays"]], "Array coercion changes when Strings and other types are mixed": [[2615, "array-coercion-changes-when-strings-and-other-types-are-mixed"]], "Array coercion restructure": [[2615, "array-coercion-restructure"]], "Writing to the result of numpy.broadcast_arrays will export readonly buffers": [[2615, "writing-to-the-result-of-numpy-broadcast-arrays-will-export-readonly-buffers"]], "Numeric-style type names have been removed from type dictionaries": [[2615, "numeric-style-type-names-have-been-removed-from-type-dictionaries"]], "The operator.concat function now raises TypeError for array arguments": [[2615, "the-operator-concat-function-now-raises-typeerror-for-array-arguments"]], "nickname attribute removed from ABCPolyBase": [[2615, "nickname-attribute-removed-from-abcpolybase"]], "float->timedelta and uint64->timedelta promotion will raise a TypeError": [[2615, "float-timedelta-and-uint64-timedelta-promotion-will-raise-a-typeerror"]], "numpy.genfromtxt now correctly unpacks structured arrays": [[2615, "numpy-genfromtxt-now-correctly-unpacks-structured-arrays"]], "mgrid, r_, etc. consistently return correct outputs for non-default precision input": [[2615, "mgrid-r-etc-consistently-return-correct-outputs-for-non-default-precision-input"]], "Boolean array indices with mismatching shapes now properly give IndexError": [[2615, "boolean-array-indices-with-mismatching-shapes-now-properly-give-indexerror"]], "Casting errors interrupt Iteration": [[2615, "casting-errors-interrupt-iteration"]], "f2py generated code may return unicode instead of byte strings": [[2615, "f2py-generated-code-may-return-unicode-instead-of-byte-strings"]], "The first element of the __array_interface__[\"data\"] tuple  must be an integer": [[2615, "the-first-element-of-the-array-interface-data-tuple-must-be-an-integer"]], "poly1d respects the dtype of all-zero argument": [[2615, "poly1d-respects-the-dtype-of-all-zero-argument"]], "The numpy.i file for swig is Python 3 only.": [[2615, "the-numpy-i-file-for-swig-is-python-3-only"]], "Void dtype discovery in np.array": [[2615, "void-dtype-discovery-in-np-array"]], "The PyArray_DescrCheck macro is modified": [[2615, "the-pyarray-descrcheck-macro-is-modified"]], "Size of np.ndarray and np.void_ changed": [[2615, "size-of-np-ndarray-and-np-void-changed"]], "where keyword argument for numpy.all and numpy.any functions": [[2615, "where-keyword-argument-for-numpy-all-and-numpy-any-functions"]], "where keyword argument for numpy functions mean, std, var": [[2615, "where-keyword-argument-for-numpy-functions-mean-std-var"]], "norm=backward, forward keyword options for numpy.fft functions": [[2615, "norm-backward-forward-keyword-options-for-numpy-fft-functions"]], "NumPy is now typed": [[2615, "numpy-is-now-typed"]], "numpy.typing is accessible at runtime": [[2615, "numpy-typing-is-accessible-at-runtime"]], "New __f2py_numpy_version__ attribute for f2py generated modules.": [[2615, "new-f2py-numpy-version-attribute-for-f2py-generated-modules"]], "mypy tests can be run via runtests.py": [[2615, "mypy-tests-can-be-run-via-runtests-py"]], "Negation of user defined BLAS/LAPACK detection order": [[2615, "negation-of-user-defined-blas-lapack-detection-order"]], "Allow passing optimizations arguments to asv build": [[2615, "allow-passing-optimizations-arguments-to-asv-build"]], "The NVIDIA HPC SDK nvfortran compiler is now supported": [[2615, "the-nvidia-hpc-sdk-nvfortran-compiler-is-now-supported"]], "dtype option for cov and corrcoef": [[2615, "dtype-option-for-cov-and-corrcoef"]], "Improved string representation for polynomials (__str__)": [[2615, "improved-string-representation-for-polynomials-str"]], "Remove the Accelerate library as a candidate LAPACK library": [[2615, "remove-the-accelerate-library-as-a-candidate-lapack-library"]], "Object arrays containing multi-line objects have a more readable repr": [[2615, "object-arrays-containing-multi-line-objects-have-a-more-readable-repr"]], "Concatenate supports providing an output dtype": [[2615, "concatenate-supports-providing-an-output-dtype"]], "Thread safe f2py callback functions": [[2615, "thread-safe-f2py-callback-functions"]], "numpy.core.records.fromfile now supports file-like objects": [[2615, "numpy-core-records-fromfile-now-supports-file-like-objects"]], "RPATH support on AIX added to distutils": [[2615, "rpath-support-on-aix-added-to-distutils"]], "Use f90 compiler specified by the command line args": [[2615, "use-f90-compiler-specified-by-the-command-line-args"]], "Make the window functions exactly symmetric": [[2615, "make-the-window-functions-exactly-symmetric"]], "Enable multi-platform SIMD compiler optimizations": [[2615, "enable-multi-platform-simd-compiler-optimizations"]], "Changed behavior of divmod(1., 0.) and related functions": [[2615, "changed-behavior-of-divmod-1-0-and-related-functions"]], "Summary of New Behavior": [[2615, "id1"]], "np.linspace on integers now uses floor": [[2615, "np-linspace-on-integers-now-uses-floor"]], "Window functions": [[2550, "window-functions"]], "Various windows": [[2550, "various-windows"]], "Polyutils": [[2544, "module-numpy.polynomial.polyutils"]], "Warning objects": [[2544, "warning-objects"]], "Functions": [[2544, "functions"], [59, "functions"], [69, "functions"], [2521, "functions"]], "NumPy 1.14.5 Release Notes": [[2583, "numpy-1-14-5-release-notes"]], "NumPy 1.18.0 Release Notes": [[2603, "numpy-1-18-0-release-notes"]], "Multivariate hypergeometric distribution added to numpy.random": [[2603, "multivariate-hypergeometric-distribution-added-to-numpy-random"]], "np.fromfile and np.fromstring will error on bad data": [[2603, "np-fromfile-and-np-fromstring-will-error-on-bad-data"]], "Deprecate non-scalar arrays as fill values in ma.fill_value": [[2603, "deprecate-non-scalar-arrays-as-fill-values-in-ma-fill-value"]], "Deprecate PyArray_As1D, PyArray_As2D": [[2603, "deprecate-pyarray-as1d-pyarray-as2d"]], "Deprecate np.alen": [[2603, "deprecate-np-alen"]], "Deprecate the financial functions": [[2603, "deprecate-the-financial-functions"]], "The axis argument to numpy.ma.mask_cols and numpy.ma.mask_row is deprecated": [[2603, "the-axis-argument-to-numpy-ma-mask-cols-and-numpy-ma-mask-row-is-deprecated"]], "numpy.lib.recfunctions.drop_fields can no longer return None": [[2603, "numpy-lib-recfunctions-drop-fields-can-no-longer-return-none"]], "numpy.argmin/argmax/min/max returns NaT if it exists in array": [[2603, "numpy-argmin-argmax-min-max-returns-nat-if-it-exists-in-array"]], "np.can_cast(np.uint64, np.timedelta64, casting='safe') is now False": [[2603, "np-can-cast-np-uint64-np-timedelta64-casting-safe-is-now-false"]], "Changed random variate stream from numpy.random.Generator.integers": [[2603, "changed-random-variate-stream-from-numpy-random-generator-integers"]], "Add more ufunc loops for datetime64, timedelta64": [[2603, "add-more-ufunc-loops-for-datetime64-timedelta64"]], "Moved modules in numpy.random": [[2603, "moved-modules-in-numpy-random"]], "PyDataType_ISUNSIZED(descr) now returns False for structured datatypes": [[2603, "pydatatype-isunsized-descr-now-returns-false-for-structured-datatypes"]], "Add our own *.pxd cython import file": [[2603, "add-our-own-pxd-cython-import-file"]], "A tuple of axes can now be input to expand_dims": [[2603, "a-tuple-of-axes-can-now-be-input-to-expand-dims"]], "Support for 64-bit OpenBLAS": [[2603, "support-for-64-bit-openblas"]], "Add --f2cmap option to F2PY": [[2603, "add-f2cmap-option-to-f2py"]], "Different C numeric types of the same size have unique names": [[2603, "different-c-numeric-types-of-the-same-size-have-unique-names"]], "argwhere now produces a consistent result on 0d arrays": [[2603, "argwhere-now-produces-a-consistent-result-on-0d-arrays"]], "Add axis argument for random.permutation and random.shuffle": [[2603, "add-axis-argument-for-random-permutation-and-random-shuffle"]], "method keyword argument for np.random.multivariate_normal": [[2603, "method-keyword-argument-for-np-random-multivariate-normal"]], "Add complex number support for numpy.fromstring": [[2603, "add-complex-number-support-for-numpy-fromstring"]], "numpy.unique has consistent axes order when axis is not None": [[2603, "numpy-unique-has-consistent-axes-order-when-axis-is-not-none"]], "numpy.matmul with boolean output now converts to boolean values": [[2603, "numpy-matmul-with-boolean-output-now-converts-to-boolean-values"]], "numpy.random.randint produced incorrect value when the range was 2**32": [[2603, "numpy-random-randint-produced-incorrect-value-when-the-range-was-2-32"]], "Add complex number support for numpy.fromfile": [[2603, "add-complex-number-support-for-numpy-fromfile"]], "std=c99 added if compiler is named gcc": [[2603, "std-c99-added-if-compiler-is-named-gcc"]], "NaT now sorts to the end of arrays": [[2603, "nat-now-sorts-to-the-end-of-arrays"]], "Incorrect threshold in np.set_printoptions raises TypeError or ValueError": [[2603, "incorrect-threshold-in-np-set-printoptions-raises-typeerror-or-valueerror"]], "Warn when saving a dtype with metadata": [[2603, "warn-when-saving-a-dtype-with-metadata"]], "numpy.distutils append behavior changed for LDFLAGS and similar": [[2603, "numpy-distutils-append-behavior-changed-for-ldflags-and-similar"]], "Remove numpy.random.entropy without a deprecation": [[2603, "remove-numpy-random-entropy-without-a-deprecation"]], "Add options to quiet build configuration and build with -Werror": [[2603, "add-options-to-quiet-build-configuration-and-build-with-werror"]], "NumPy 1.18.3 Release Notes": [[2606, "numpy-1-18-3-release-notes"]], "NumPy security": [[2551, "numpy-security"]], "Advice for using NumPy on untrusted data": [[2551, "advice-for-using-numpy-on-untrusted-data"]], "How does the CPU dispatcher work?": [[2553, "how-does-the-cpu-dispatcher-work"]], "1- Configuration": [[2553, "configuration"]], "2- Discovering the environment": [[2553, "discovering-the-environment"]], "3- Validating the requested optimizations": [[2553, "validating-the-requested-optimizations"]], "4- Generating the main configuration header": [[2553, "generating-the-main-configuration-header"]], "5- Dispatch-able sources and configuration statements": [[2553, "dispatch-able-sources-and-configuration-statements"]], "NumPy 1.17.1 Release Notes": [[2598, "numpy-1-17-1-release-notes"]], "Test Support (numpy.testing)": [[2548, "test-support-numpy-testing"]], "Asserts": [[2548, "asserts"]], "Asserts (not recommended)": [[2548, "asserts-not-recommended"]], "Decorators": [[2548, "decorators"]], "Test Running": [[2548, "test-running"]], "Guidelines": [[2548, "guidelines"], [17, "guidelines"]], "Testing Guidelines": [[2559, "testing-guidelines"]], "Testing NumPy": [[2559, "testing-numpy"]], "Running tests from inside Python": [[2559, "running-tests-from-inside-python"]], "Running tests from the command line": [[2559, "running-tests-from-the-command-line"]], "Other methods of running tests": [[2559, "other-methods-of-running-tests"]], "Writing your own tests": [[2559, "writing-your-own-tests"]], "Using C code in 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"adding-user-defined-functions-to-f2py-generated-modules"]], "Adding user-defined variables": [[23, "adding-user-defined-variables"]], "Dealing with KIND specifiers": [[23, "dealing-with-kind-specifiers"]], "Character strings": [[23, "character-strings"]], "Assumed length character strings": [[23, "assumed-length-character-strings"]], "Using via numpy.distutils": [[25, "using-via-numpy-distutils"]], "Extensions to distutils": [[25, "extensions-to-distutils"]], "NumPy license": [[46, "numpy-license"]], "Signature file": [[36, "signature-file"]], "Signature files syntax": [[36, "signature-files-syntax"]], "Python module block": [[36, "python-module-block"]], "Fortran/C routine signatures": [[36, "fortran-c-routine-signatures"]], "Type declarations": [[36, "type-declarations"]], "Statements": [[36, "statements"]], "Attribute statements": [[36, "attribute-statements"]], "Use statements": [[36, "use-statements"]], "Common block statements": [[36, "common-block-statements"]], "Other 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