def turbocmap():
    """
	Returns the Turbo colormap: an improved version of the awful jet colormap.

	The look-up table contains 256 entries. Each entry is a floating point sRGB triplet.

	Usage:

	>>> turbo=nmmn.plots.turbocmap()
	>>> imshow(rho, cmap=turbo)

	Copyright 2019 Google LLC.
	SPDX-License-Identifier: Apache-2.0
	Author: Anton Mikhailov

	References:

	- `turbo colormap array <https://gist.github.com/mikhailov-work/ee72ba4191942acecc03fe6da94fc73f>`_
	- Google AI `blog post <https://ai.googleblog.com/2019/08/turbo-improved-rainbow-colormap-for.html>`_ describing the advantages of the colormap
	"""
    from matplotlib.colors import ListedColormap
    turbo_colormap_data = [[0.18995, 0.07176, 0.23217], [0.19483, 0.08339, 
        0.26149], [0.19956, 0.09498, 0.29024], [0.20415, 0.10652, 0.31844],
        [0.2086, 0.11802, 0.34607], [0.21291, 0.12947, 0.37314], [0.21708, 
        0.14087, 0.39964], [0.22111, 0.15223, 0.42558], [0.225, 0.16354, 
        0.45096], [0.22875, 0.17481, 0.47578], [0.23236, 0.18603, 0.50004],
        [0.23582, 0.1972, 0.52373], [0.23915, 0.20833, 0.54686], [0.24234, 
        0.21941, 0.56942], [0.24539, 0.23044, 0.59142], [0.2483, 0.24143, 
        0.61286], [0.25107, 0.25237, 0.63374], [0.25369, 0.26327, 0.65406],
        [0.25618, 0.27412, 0.67381], [0.25853, 0.28492, 0.693], [0.26074, 
        0.29568, 0.71162], [0.2628, 0.30639, 0.72968], [0.26473, 0.31706, 
        0.74718], [0.26652, 0.32768, 0.76412], [0.26816, 0.33825, 0.7805],
        [0.26967, 0.34878, 0.79631], [0.27103, 0.35926, 0.81156], [0.27226,
        0.3697, 0.82624], [0.27334, 0.38008, 0.84037], [0.27429, 0.39043, 
        0.85393], [0.27509, 0.40072, 0.86692], [0.27576, 0.41097, 0.87936],
        [0.27628, 0.42118, 0.89123], [0.27667, 0.43134, 0.90254], [0.27691,
        0.44145, 0.91328], [0.27701, 0.45152, 0.92347], [0.27698, 0.46153, 
        0.93309], [0.2768, 0.47151, 0.94214], [0.27648, 0.48144, 0.95064],
        [0.27603, 0.49132, 0.95857], [0.27543, 0.50115, 0.96594], [0.27469,
        0.51094, 0.97275], [0.27381, 0.52069, 0.97899], [0.27273, 0.5304, 
        0.98461], [0.27106, 0.54015, 0.9893], [0.26878, 0.54995, 0.99303],
        [0.26592, 0.55979, 0.99583], [0.26252, 0.56967, 0.99773], [0.25862,
        0.57958, 0.99876], [0.25425, 0.5895, 0.99896], [0.24946, 0.59943, 
        0.99835], [0.24427, 0.60937, 0.99697], [0.23874, 0.61931, 0.99485],
        [0.23288, 0.62923, 0.99202], [0.22676, 0.63913, 0.98851], [0.22039,
        0.64901, 0.98436], [0.21382, 0.65886, 0.97959], [0.20708, 0.66866, 
        0.97423], [0.20021, 0.67842, 0.96833], [0.19326, 0.68812, 0.9619],
        [0.18625, 0.69775, 0.95498], [0.17923, 0.70732, 0.94761], [0.17223,
        0.7168, 0.93981], [0.16529, 0.7262, 0.93161], [0.15844, 0.73551, 
        0.92305], [0.15173, 0.74472, 0.91416], [0.14519, 0.75381, 0.90496],
        [0.13886, 0.76279, 0.8955], [0.13278, 0.77165, 0.8858], [0.12698, 
        0.78037, 0.8759], [0.12151, 0.78896, 0.86581], [0.11639, 0.7974, 
        0.85559], [0.11167, 0.80569, 0.84525], [0.10738, 0.81381, 0.83484],
        [0.10357, 0.82177, 0.82437], [0.10026, 0.82955, 0.81389], [0.0975, 
        0.83714, 0.80342], [0.09532, 0.84455, 0.79299], [0.09377, 0.85175, 
        0.78264], [0.09287, 0.85875, 0.7724], [0.09267, 0.86554, 0.7623], [
        0.0932, 0.87211, 0.75237], [0.09451, 0.87844, 0.74265], [0.09662, 
        0.88454, 0.73316], [0.09958, 0.8904, 0.72393], [0.10342, 0.896, 
        0.715], [0.10815, 0.90142, 0.70599], [0.11374, 0.90673, 0.69651], [
        0.12014, 0.91193, 0.6866], [0.12733, 0.91701, 0.67627], [0.13526, 
        0.92197, 0.66556], [0.14391, 0.9268, 0.65448], [0.15323, 0.93151, 
        0.64308], [0.16319, 0.93609, 0.63137], [0.17377, 0.94053, 0.61938],
        [0.18491, 0.94484, 0.60713], [0.19659, 0.94901, 0.59466], [0.20877,
        0.95304, 0.58199], [0.22142, 0.95692, 0.56914], [0.23449, 0.96065, 
        0.55614], [0.24797, 0.96423, 0.54303], [0.2618, 0.96765, 0.52981],
        [0.27597, 0.97092, 0.51653], [0.29042, 0.97403, 0.50321], [0.30513,
        0.97697, 0.48987], [0.32006, 0.97974, 0.47654], [0.33517, 0.98234, 
        0.46325], [0.35043, 0.98477, 0.45002], [0.36581, 0.98702, 0.43688],
        [0.38127, 0.98909, 0.42386], [0.39678, 0.99098, 0.41098], [0.41229,
        0.99268, 0.39826], [0.42778, 0.99419, 0.38575], [0.44321, 0.99551, 
        0.37345], [0.45854, 0.99663, 0.3614], [0.47375, 0.99755, 0.34963],
        [0.48879, 0.99828, 0.33816], [0.50362, 0.99879, 0.32701], [0.51822,
        0.9991, 0.31622], [0.53255, 0.99919, 0.30581], [0.54658, 0.99907, 
        0.29581], [0.56026, 0.99873, 0.28623], [0.57357, 0.99817, 0.27712],
        [0.58646, 0.99739, 0.26849], [0.59891, 0.99638, 0.26038], [0.61088,
        0.99514, 0.2528], [0.62233, 0.99366, 0.24579], [0.63323, 0.99195, 
        0.23937], [0.64362, 0.98999, 0.23356], [0.65394, 0.98775, 0.22835],
        [0.66428, 0.98524, 0.2237], [0.67462, 0.98246, 0.2196], [0.68494, 
        0.97941, 0.21602], [0.69525, 0.9761, 0.21294], [0.70553, 0.97255, 
        0.21032], [0.71577, 0.96875, 0.20815], [0.72596, 0.9647, 0.2064], [
        0.7361, 0.96043, 0.20504], [0.74617, 0.95593, 0.20406], [0.75617, 
        0.95121, 0.20343], [0.76608, 0.94627, 0.20311], [0.77591, 0.94113, 
        0.2031], [0.78563, 0.93579, 0.20336], [0.79524, 0.93025, 0.20386],
        [0.80473, 0.92452, 0.20459], [0.8141, 0.91861, 0.20552], [0.82333, 
        0.91253, 0.20663], [0.83241, 0.90627, 0.20788], [0.84133, 0.89986, 
        0.20926], [0.8501, 0.89328, 0.21074], [0.85868, 0.88655, 0.2123], [
        0.86709, 0.87968, 0.21391], [0.8753, 0.87267, 0.21555], [0.88331, 
        0.86553, 0.21719], [0.89112, 0.85826, 0.2188], [0.8987, 0.85087, 
        0.22038], [0.90605, 0.84337, 0.22188], [0.91317, 0.83576, 0.22328],
        [0.92004, 0.82806, 0.22456], [0.92666, 0.82025, 0.2257], [0.93301, 
        0.81236, 0.22667], [0.93909, 0.80439, 0.22744], [0.94489, 0.79634, 
        0.228], [0.95039, 0.78823, 0.22831], [0.9556, 0.78005, 0.22836], [
        0.96049, 0.77181, 0.22811], [0.96507, 0.76352, 0.22754], [0.96931, 
        0.75519, 0.22663], [0.97323, 0.74682, 0.22536], [0.97679, 0.73842, 
        0.22369], [0.98, 0.73, 0.22161], [0.98289, 0.7214, 0.21918], [
        0.98549, 0.7125, 0.2165], [0.98781, 0.7033, 0.21358], [0.98986, 
        0.69382, 0.21043], [0.99163, 0.68408, 0.20706], [0.99314, 0.67408, 
        0.20348], [0.99438, 0.66386, 0.19971], [0.99535, 0.65341, 0.19577],
        [0.99607, 0.64277, 0.19165], [0.99654, 0.63193, 0.18738], [0.99675,
        0.62093, 0.18297], [0.99672, 0.60977, 0.17842], [0.99644, 0.59846, 
        0.17376], [0.99593, 0.58703, 0.16899], [0.99517, 0.57549, 0.16412],
        [0.99419, 0.56386, 0.15918], [0.99297, 0.55214, 0.15417], [0.99153,
        0.54036, 0.1491], [0.98987, 0.52854, 0.14398], [0.98799, 0.51667, 
        0.13883], [0.9859, 0.50479, 0.13367], [0.9836, 0.49291, 0.12849], [
        0.98108, 0.48104, 0.12332], [0.97837, 0.4692, 0.11817], [0.97545, 
        0.4574, 0.11305], [0.97234, 0.44565, 0.10797], [0.96904, 0.43399, 
        0.10294], [0.96555, 0.42241, 0.09798], [0.96187, 0.41093, 0.0931],
        [0.95801, 0.39958, 0.08831], [0.95398, 0.38836, 0.08362], [0.94977,
        0.37729, 0.07905], [0.94538, 0.36638, 0.07461], [0.94084, 0.35566, 
        0.07031], [0.93612, 0.34513, 0.06616], [0.93125, 0.33482, 0.06218],
        [0.92623, 0.32473, 0.05837], [0.92105, 0.31489, 0.05475], [0.91572,
        0.3053, 0.05134], [0.91024, 0.29599, 0.04814], [0.90463, 0.28696, 
        0.04516], [0.89888, 0.27824, 0.04243], [0.89298, 0.26981, 0.03993],
        [0.88691, 0.26152, 0.03753], [0.88066, 0.25334, 0.03521], [0.87422,
        0.24526, 0.03297], [0.8676, 0.2373, 0.03082], [0.86079, 0.22945, 
        0.02875], [0.8538, 0.2217, 0.02677], [0.84662, 0.21407, 0.02487], [
        0.83926, 0.20654, 0.02305], [0.83172, 0.19912, 0.02131], [0.82399, 
        0.19182, 0.01966], [0.81608, 0.18462, 0.01809], [0.80799, 0.17753, 
        0.0166], [0.79971, 0.17055, 0.0152], [0.79125, 0.16368, 0.01387], [
        0.7826, 0.15693, 0.01264], [0.77377, 0.15028, 0.01148], [0.76476, 
        0.14374, 0.01041], [0.75556, 0.13731, 0.00942], [0.74617, 0.13098, 
        0.00851], [0.73661, 0.12477, 0.00769], [0.72686, 0.11867, 0.00695],
        [0.71692, 0.11268, 0.00629], [0.7068, 0.1068, 0.00571], [0.6965, 
        0.10102, 0.00522], [0.68602, 0.09536, 0.00481], [0.67535, 0.0898, 
        0.00449], [0.66449, 0.08436, 0.00424], [0.65345, 0.07902, 0.00408],
        [0.64223, 0.0738, 0.00401], [0.63082, 0.06868, 0.00401], [0.61923, 
        0.06367, 0.0041], [0.60746, 0.05878, 0.00427], [0.5955, 0.05399, 
        0.00453], [0.58336, 0.04931, 0.00486], [0.57103, 0.04474, 0.00529],
        [0.55852, 0.04028, 0.00579], [0.54583, 0.03593, 0.00638], [0.53295,
        0.03169, 0.00705], [0.51989, 0.02756, 0.0078], [0.50664, 0.02354, 
        0.00863], [0.49321, 0.01963, 0.00955], [0.4796, 0.01583, 0.01055]]
    return ListedColormap(turbo_colormap_data)
