Split (1)

train · 339k rows

repo stringlengths 7 54	path stringlengths 4 223	func_name stringlengths 1 134	original_string stringlengths 75 104k	language stringclasses 1 value	code stringlengths 75 104k	code_tokens listlengths 20 28.4k	docstring stringlengths 1 46.3k	docstring_tokens listlengths 1 1.66k	sha stringlengths 40 40	url stringlengths 87 315	partition stringclasses 1 value	summary stringlengths 4 350	obf_code stringlengths 7.85k 764k
slundberg/shap	shap/plots/force_matplotlib.py	draw_bars	def draw_bars(out_value, features, feature_type, width_separators, width_bar): """Draw the bars and separators.""" rectangle_list = [] separator_list = [] pre_val = out_value for index, features in zip(range(len(features)), features): if feature_type == 'positive': left_bound = float(features[0]) right_bound = pre_val pre_val = left_bound separator_indent = np.abs(width_separators) separator_pos = left_bound colors = ['#FF0D57', '#FFC3D5'] else: left_bound = pre_val right_bound = float(features[0]) pre_val = right_bound separator_indent = - np.abs(width_separators) separator_pos = right_bound colors = ['#1E88E5', '#D1E6FA'] # Create rectangle if index == 0: if feature_type == 'positive': points_rectangle = [[left_bound, 0], [right_bound, 0], [right_bound, width_bar], [left_bound, width_bar], [left_bound + separator_indent, (width_bar / 2)] ] else: points_rectangle = [[right_bound, 0], [left_bound, 0], [left_bound, width_bar], [right_bound, width_bar], [right_bound + separator_indent, (width_bar / 2)] ] else: points_rectangle = [[left_bound, 0], [right_bound, 0], [right_bound + separator_indent * 0.90, (width_bar / 2)], [right_bound, width_bar], [left_bound, width_bar], [left_bound + separator_indent * 0.90, (width_bar / 2)]] line = plt.Polygon(points_rectangle, closed=True, fill=True, facecolor=colors[0], linewidth=0) rectangle_list += [line] # Create seperator points_separator = [[separator_pos, 0], [separator_pos + separator_indent, (width_bar / 2)], [separator_pos, width_bar]] line = plt.Polygon(points_separator, closed=None, fill=None, edgecolor=colors[1], lw=3) separator_list += [line] return rectangle_list, separator_list	python	def draw_bars(out_value, features, feature_type, width_separators, width_bar): """Draw the bars and separators.""" rectangle_list = [] separator_list = [] pre_val = out_value for index, features in zip(range(len(features)), features): if feature_type == 'positive': left_bound = float(features[0]) right_bound = pre_val pre_val = left_bound separator_indent = np.abs(width_separators) separator_pos = left_bound colors = ['#FF0D57', '#FFC3D5'] else: left_bound = pre_val right_bound = float(features[0]) pre_val = right_bound separator_indent = - np.abs(width_separators) separator_pos = right_bound colors = ['#1E88E5', '#D1E6FA'] # Create rectangle if index == 0: if feature_type == 'positive': points_rectangle = [[left_bound, 0], [right_bound, 0], [right_bound, width_bar], [left_bound, width_bar], [left_bound + separator_indent, (width_bar / 2)] ] else: points_rectangle = [[right_bound, 0], [left_bound, 0], [left_bound, width_bar], [right_bound, width_bar], [right_bound + separator_indent, (width_bar / 2)] ] else: points_rectangle = [[left_bound, 0], [right_bound, 0], [right_bound + separator_indent * 0.90, (width_bar / 2)], [right_bound, width_bar], [left_bound, width_bar], [left_bound + separator_indent * 0.90, (width_bar / 2)]] line = plt.Polygon(points_rectangle, closed=True, fill=True, facecolor=colors[0], linewidth=0) rectangle_list += [line] # Create seperator points_separator = [[separator_pos, 0], [separator_pos + separator_indent, (width_bar / 2)], [separator_pos, width_bar]] line = plt.Polygon(points_separator, closed=None, fill=None, edgecolor=colors[1], lw=3) separator_list += [line] return rectangle_list, separator_list	[ "def", "draw_bars", "(", "out_value", ",", "features", ",", "feature_type", ",", "width_separators", ",", "width_bar", ")", ":", "rectangle_list", "=", "[", "]", "separator_list", "=", "[", "]", "pre_val", "=", "out_value", "for", "index", ",", "features", "in", "zip", "(", "range", "(", "len", "(", "features", ")", ")", ",", "features", ")", ":", "if", "feature_type", "==", "'positive'", ":", "left_bound", "=", "float", "(", "features", "[", "0", "]", ")", "right_bound", "=", "pre_val", "pre_val", "=", "left_bound", "separator_indent", "=", "np", ".", "abs", "(", "width_separators", ")", "separator_pos", "=", "left_bound", "colors", "=", "[", "'#FF0D57'", ",", "'#FFC3D5'", "]", "else", ":", "left_bound", "=", "pre_val", "right_bound", "=", "float", "(", "features", "[", "0", "]", ")", "pre_val", "=", "right_bound", "separator_indent", "=", "-", "np", ".", "abs", "(", "width_separators", ")", "separator_pos", "=", "right_bound", "colors", "=", "[", "'#1E88E5'", ",", "'#D1E6FA'", "]", "# Create rectangle", "if", "index", "==", "0", ":", "if", "feature_type", "==", "'positive'", ":", "points_rectangle", "=", "[", "[", "left_bound", ",", "0", "]", ",", "[", "right_bound", ",", "0", "]", ",", "[", "right_bound", ",", "width_bar", "]", ",", "[", "left_bound", ",", "width_bar", "]", ",", "[", "left_bound", "+", "separator_indent", ",", "(", "width_bar", "/", "2", ")", "]", "]", "else", ":", "points_rectangle", "=", "[", "[", "right_bound", ",", "0", "]", ",", "[", "left_bound", ",", "0", "]", ",", "[", "left_bound", ",", "width_bar", "]", ",", "[", "right_bound", ",", "width_bar", "]", ",", "[", "right_bound", "+", "separator_indent", ",", "(", "width_bar", "/", "2", ")", "]", "]", "else", ":", "points_rectangle", "=", "[", "[", "left_bound", ",", "0", "]", ",", "[", "right_bound", ",", "0", "]", ",", "[", "right_bound", "+", "separator_indent", "", "0.90", ",", "(", "width_bar", "/", "2", ")", "]", ",", "[", "right_bound", ",", "width_bar", "]", ",", "[", "left_bound", ",", "width_bar", "]", ",", "[", "left_bound", "+", "separator_indent", "", "0.90", ",", "(", "width_bar", "/", "2", ")", "]", "]", "line", "=", "plt", ".", "Polygon", "(", "points_rectangle", ",", "closed", "=", "True", ",", "fill", "=", "True", ",", "facecolor", "=", "colors", "[", "0", "]", ",", "linewidth", "=", "0", ")", "rectangle_list", "+=", "[", "line", "]", "# Create seperator", "points_separator", "=", "[", "[", "separator_pos", ",", "0", "]", ",", "[", "separator_pos", "+", "separator_indent", ",", "(", "width_bar", "/", "2", ")", "]", ",", "[", "separator_pos", ",", "width_bar", "]", "]", "line", "=", "plt", ".", "Polygon", "(", "points_separator", ",", "closed", "=", "None", ",", "fill", "=", "None", ",", "edgecolor", "=", "colors", "[", "1", "]", ",", "lw", "=", "3", ")", "separator_list", "+=", "[", "line", "]", "return", "rectangle_list", ",", "separator_list" ]	Draw the bars and separators.	[ "Draw", "the", "bars", "and", "separators", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/plots/force_matplotlib.py#L15-L77	train	Draw the bars and separators.	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2021) + chr(53) + chr(0b11101 + 0o27), 0o10), ehT0Px3KOsy9(chr(141 - 93) + chr(0b1101111) + chr(0b100011 + 0o17) + chr(54) + '\x34', 0o10), ehT0Px3KOsy9(chr(1383 - 1335) + '\157' + '\062' + chr(0b110011) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\x34' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b1101 + 0o52) + '\x30', 52549 - 52541), ehT0Px3KOsy9('\060' + '\x6f' + chr(2374 - 2323) + chr(0b100101 + 0o15) + chr(0b11101 + 0o27), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(50) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b101000 + 0o12) + '\062', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b100101 + 0o22) + chr(0b10111 + 0o36), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000000 + 0o57) + chr(0b110001) + '\x36' + chr(1230 - 1180), 25200 - 25192), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100001 + 0o21) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x37' + chr(0b11111 + 0o27), 0o10), ehT0Px3KOsy9(chr(48) + chr(9072 - 8961) + chr(0b100010 + 0o20) + chr(0b100 + 0o54) + chr(1439 - 1384), 5815 - 5807), ehT0Px3KOsy9('\x30' + chr(0b1101111 + 0o0) + chr(0b110001) + chr(1756 - 1707) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11325 - 11214) + chr(0b10000 + 0o43) + '\065' + chr(2541 - 2487), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(4069 - 3958) + chr(2341 - 2292) + '\065' + chr(0b101100 + 0o12), 0b1000), ehT0Px3KOsy9(chr(400 - 352) + '\157' + chr(1304 - 1255) + '\061' + chr(0b110100), 35760 - 35752), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(11684 - 11573) + chr(49) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(8136 - 8025) + chr(2240 - 2191) + chr(0b110011) + chr(0b1110 + 0o50), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1023 - 972) + '\x32' + chr(0b11000 + 0o30), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000 + 0o2) + chr(0b110001) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5738 - 5627) + '\x37' + chr(2269 - 2217), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + chr(0b110011) + '\x31' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101110 + 0o101) + chr(2000 - 1949) + chr(0b110001) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(11730 - 11619) + chr(49) + chr(2130 - 2076) + chr(2257 - 2209), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5940 - 5829) + chr(855 - 806) + '\060', 0o10), ehT0Px3KOsy9(chr(220 - 172) + chr(0b101101 + 0o102) + chr(54) + '\061', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1011000 + 0o27) + chr(0b101001 + 0o12) + '\067' + chr(2530 - 2477), 0o10), ehT0Px3KOsy9(chr(281 - 233) + chr(0b1101111) + chr(0b100100 + 0o17) + chr(499 - 449) + chr(0b1 + 0o61), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2280 - 2229) + chr(999 - 946) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5014 - 4903) + '\063' + '\062', 10484 - 10476), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(856 - 802) + chr(0b110110), 27949 - 27941), ehT0Px3KOsy9('\060' + '\x6f' + chr(2293 - 2241) + chr(2496 - 2445), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(455 - 405) + '\062' + chr(0b110010 + 0o4), ord("\x08")), ehT0Px3KOsy9('\060' + chr(11607 - 11496) + '\063' + chr(2009 - 1956) + chr(1587 - 1536), 35418 - 35410), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1267 - 1218) + '\x30' + chr(51), 26149 - 26141), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100111 + 0o13) + '\062' + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1243 - 1192) + chr(0b110110) + chr(0b10001 + 0o40), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100011 + 0o14) + '\062' + chr(0b110101) + chr(556 - 501), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1010 + 0o47) + chr(0b110100) + '\062', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1100011 + 0o14) + '\x35' + chr(0b110000 + 0o0), 50236 - 50228)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'B'), '\x64' + chr(8283 - 8182) + chr(0b1100011) + chr(0b1101001 + 0o6) + '\x64' + chr(0b1100101))('\165' + chr(116) + '\x66' + chr(0b101101) + chr(2667 - 2611)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def hsDG0aSEKHqz(f4E4sHN_IAin, EEf4r9nUvta_, KoCT8x8J2VGC, CUJ_wdW2SzYu, af45Mdub0nuQ): nOPLTxmjLXX8 = [] w1uH23LInq13 = [] QU8RdFswmgNS = f4E4sHN_IAin for (XdowRbJKZWL9, EEf4r9nUvta_) in pZ0NK2y6HRbn(vQr8gNKaIaWE(c2A0yzQpDQB3(EEf4r9nUvta_)), EEf4r9nUvta_): if KoCT8x8J2VGC == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\xdb\xef\xcd\x0c\xbd\xe77'), chr(753 - 653) + '\x65' + chr(3317 - 3218) + chr(0b1101111) + chr(100) + chr(101))(chr(12707 - 12590) + '\x74' + chr(0b1011000 + 0o16) + chr(0b101101) + '\x38'): sJ2nDIYuj3ql = kkSX4ccExqw4(EEf4r9nUvta_[ehT0Px3KOsy9(chr(1679 - 1631) + '\x6f' + chr(1260 - 1212), ord("\x08"))]) oDIUkerdFEIj = QU8RdFswmgNS QU8RdFswmgNS = sJ2nDIYuj3ql l4vXgA4mJrdI = WqUC3KWvYVup.abs(CUJ_wdW2SzYu) gacLvHKaAfpZ = sJ2nDIYuj3ql bVKMf_d5jJzc = [xafqLlk3kkUe(SXOLrMavuUCe(b'O\xf2\xda\x94<\xe1\xa6'), chr(0b1100100) + chr(0b1001101 + 0o30) + '\143' + '\x6f' + chr(0b110010 + 0o62) + chr(0b1001110 + 0o27))(chr(0b101100 + 0o111) + chr(0b1000110 + 0o56) + chr(0b1100110) + chr(0b101101) + chr(0b1100 + 0o54)), xafqLlk3kkUe(SXOLrMavuUCe(b'O\xf2\xda\xe7K\x90\xa4'), chr(8815 - 8715) + chr(101) + chr(0b1100011) + '\157' + '\144' + chr(4040 - 3939))(chr(0b1000010 + 0o63) + '\164' + chr(2320 - 2218) + '\055' + chr(56))] else: sJ2nDIYuj3ql = QU8RdFswmgNS oDIUkerdFEIj = kkSX4ccExqw4(EEf4r9nUvta_[ehT0Px3KOsy9(chr(48) + chr(0b111100 + 0o63) + chr(0b110000), 8)]) QU8RdFswmgNS = oDIUkerdFEIj l4vXgA4mJrdI = -WqUC3KWvYVup.abs(CUJ_wdW2SzYu) gacLvHKaAfpZ = oDIUkerdFEIj bVKMf_d5jJzc = [xafqLlk3kkUe(SXOLrMavuUCe(b'O\x85\xd9\x9c@\x91\xa4'), chr(100) + '\x65' + chr(8588 - 8489) + '\157' + chr(0b1100100) + chr(8050 - 7949))(chr(9066 - 8949) + chr(3046 - 2930) + chr(102) + chr(0b101101) + chr(0b10011 + 0o45)), xafqLlk3kkUe(SXOLrMavuUCe(b'O\xf0\xad\xe1N\x92\xd0'), '\144' + chr(101) + '\143' + chr(111) + chr(0b1100100) + '\x65')(chr(0b1110101) + '\164' + '\146' + chr(0b101101) + chr(0b1100 + 0o54))] if XdowRbJKZWL9 == ehT0Px3KOsy9('\x30' + chr(111) + '\x30', 8): if KoCT8x8J2VGC == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\xdb\xef\xcd\x0c\xbd\xe77'), '\144' + chr(0b1000111 + 0o36) + chr(0b111 + 0o134) + chr(8783 - 8672) + chr(306 - 206) + chr(0b11101 + 0o110))('\x75' + chr(0b1001001 + 0o53) + chr(102) + '\055' + chr(56)): oHX7vgge3pGl = [[sJ2nDIYuj3ql, ehT0Px3KOsy9('\060' + chr(111) + chr(0b1100 + 0o44), 8)], [oDIUkerdFEIj, ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000), 8)], [oDIUkerdFEIj, af45Mdub0nuQ], [sJ2nDIYuj3ql, af45Mdub0nuQ], [sJ2nDIYuj3ql + l4vXgA4mJrdI, af45Mdub0nuQ / ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + '\x32', 0b1000)]] else: oHX7vgge3pGl = [[oDIUkerdFEIj, ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1001001 + 0o46) + chr(1277 - 1229), 8)], [sJ2nDIYuj3ql, ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', 8)], [sJ2nDIYuj3ql, af45Mdub0nuQ], [oDIUkerdFEIj, af45Mdub0nuQ], [oDIUkerdFEIj + l4vXgA4mJrdI, af45Mdub0nuQ / ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + '\x32', 8)]] else: oHX7vgge3pGl = [[sJ2nDIYuj3ql, ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(48), 8)], [oDIUkerdFEIj, ehT0Px3KOsy9('\x30' + chr(111) + chr(48), 8)], [oDIUkerdFEIj + l4vXgA4mJrdI * 0.9, af45Mdub0nuQ / ehT0Px3KOsy9('\060' + '\157' + chr(0b11100 + 0o26), 8)], [oDIUkerdFEIj, af45Mdub0nuQ], [sJ2nDIYuj3ql, af45Mdub0nuQ], [sJ2nDIYuj3ql + l4vXgA4mJrdI * 0.9, af45Mdub0nuQ / ehT0Px3KOsy9(chr(881 - 833) + '\157' + chr(0b110010), 8)]] LycYkDpyelF6 = eRubm8FH879n.Polygon(oHX7vgge3pGl, closed=ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(6737 - 6626) + chr(2395 - 2346), 0o10), fill=ehT0Px3KOsy9('\x30' + '\x6f' + '\x31', 8), facecolor=bVKMf_d5jJzc[ehT0Px3KOsy9(chr(0b110000) + chr(0b10000 + 0o137) + chr(1408 - 1360), 8)], linewidth=ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110000), 8)) nOPLTxmjLXX8 += [LycYkDpyelF6] cawhZI6KUFV2 = [[gacLvHKaAfpZ, ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000), 8)], [gacLvHKaAfpZ + l4vXgA4mJrdI, af45Mdub0nuQ / ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1444 - 1394), 8)], [gacLvHKaAfpZ, af45Mdub0nuQ]] LycYkDpyelF6 = eRubm8FH879n.Polygon(cawhZI6KUFV2, closed=None, fill=None, edgecolor=bVKMf_d5jJzc[ehT0Px3KOsy9(chr(1295 - 1247) + chr(5615 - 5504) + '\061', 8)], lw=ehT0Px3KOsy9(chr(48) + chr(3492 - 3381) + '\x33', 0b1000)) w1uH23LInq13 += [LycYkDpyelF6] return (nOPLTxmjLXX8, w1uH23LInq13)
slundberg/shap	shap/plots/force_matplotlib.py	format_data	def format_data(data): """Format data.""" # Format negative features neg_features = np.array([[data['features'][x]['effect'], data['features'][x]['value'], data['featureNames'][x]] for x in data['features'].keys() if data['features'][x]['effect'] < 0]) neg_features = np.array(sorted(neg_features, key=lambda x: float(x[0]), reverse=False)) # Format postive features pos_features = np.array([[data['features'][x]['effect'], data['features'][x]['value'], data['featureNames'][x]] for x in data['features'].keys() if data['features'][x]['effect'] >= 0]) pos_features = np.array(sorted(pos_features, key=lambda x: float(x[0]), reverse=True)) # Define link function if data['link'] == 'identity': convert_func = lambda x: x elif data['link'] == 'logit': convert_func = lambda x: 1 / (1 + np.exp(-x)) else: assert False, "ERROR: Unrecognized link function: " + str(data['link']) # Convert negative feature values to plot values neg_val = data['outValue'] for i in neg_features: val = float(i[0]) neg_val = neg_val + np.abs(val) i[0] = convert_func(neg_val) if len(neg_features) > 0: total_neg = np.max(neg_features[:, 0].astype(float)) - \ np.min(neg_features[:, 0].astype(float)) else: total_neg = 0 # Convert positive feature values to plot values pos_val = data['outValue'] for i in pos_features: val = float(i[0]) pos_val = pos_val - np.abs(val) i[0] = convert_func(pos_val) if len(pos_features) > 0: total_pos = np.max(pos_features[:, 0].astype(float)) - \ np.min(pos_features[:, 0].astype(float)) else: total_pos = 0 # Convert output value and base value data['outValue'] = convert_func(data['outValue']) data['baseValue'] = convert_func(data['baseValue']) return neg_features, total_neg, pos_features, total_pos	python	def format_data(data): """Format data.""" # Format negative features neg_features = np.array([[data['features'][x]['effect'], data['features'][x]['value'], data['featureNames'][x]] for x in data['features'].keys() if data['features'][x]['effect'] < 0]) neg_features = np.array(sorted(neg_features, key=lambda x: float(x[0]), reverse=False)) # Format postive features pos_features = np.array([[data['features'][x]['effect'], data['features'][x]['value'], data['featureNames'][x]] for x in data['features'].keys() if data['features'][x]['effect'] >= 0]) pos_features = np.array(sorted(pos_features, key=lambda x: float(x[0]), reverse=True)) # Define link function if data['link'] == 'identity': convert_func = lambda x: x elif data['link'] == 'logit': convert_func = lambda x: 1 / (1 + np.exp(-x)) else: assert False, "ERROR: Unrecognized link function: " + str(data['link']) # Convert negative feature values to plot values neg_val = data['outValue'] for i in neg_features: val = float(i[0]) neg_val = neg_val + np.abs(val) i[0] = convert_func(neg_val) if len(neg_features) > 0: total_neg = np.max(neg_features[:, 0].astype(float)) - \ np.min(neg_features[:, 0].astype(float)) else: total_neg = 0 # Convert positive feature values to plot values pos_val = data['outValue'] for i in pos_features: val = float(i[0]) pos_val = pos_val - np.abs(val) i[0] = convert_func(pos_val) if len(pos_features) > 0: total_pos = np.max(pos_features[:, 0].astype(float)) - \ np.min(pos_features[:, 0].astype(float)) else: total_pos = 0 # Convert output value and base value data['outValue'] = convert_func(data['outValue']) data['baseValue'] = convert_func(data['baseValue']) return neg_features, total_neg, pos_features, total_pos	[ "def", "format_data", "(", "data", ")", ":", "# Format negative features", "neg_features", "=", "np", ".", "array", "(", "[", "[", "data", "[", "'features'", "]", "[", "x", "]", "[", "'effect'", "]", ",", "data", "[", "'features'", "]", "[", "x", "]", "[", "'value'", "]", ",", "data", "[", "'featureNames'", "]", "[", "x", "]", "]", "for", "x", "in", "data", "[", "'features'", "]", ".", "keys", "(", ")", "if", "data", "[", "'features'", "]", "[", "x", "]", "[", "'effect'", "]", "<", "0", "]", ")", "neg_features", "=", "np", ".", "array", "(", "sorted", "(", "neg_features", ",", "key", "=", "lambda", "x", ":", "float", "(", "x", "[", "0", "]", ")", ",", "reverse", "=", "False", ")", ")", "# Format postive features", "pos_features", "=", "np", ".", "array", "(", "[", "[", "data", "[", "'features'", "]", "[", "x", "]", "[", "'effect'", "]", ",", "data", "[", "'features'", "]", "[", "x", "]", "[", "'value'", "]", ",", "data", "[", "'featureNames'", "]", "[", "x", "]", "]", "for", "x", "in", "data", "[", "'features'", "]", ".", "keys", "(", ")", "if", "data", "[", "'features'", "]", "[", "x", "]", "[", "'effect'", "]", ">=", "0", "]", ")", "pos_features", "=", "np", ".", "array", "(", "sorted", "(", "pos_features", ",", "key", "=", "lambda", "x", ":", "float", "(", "x", "[", "0", "]", ")", ",", "reverse", "=", "True", ")", ")", "# Define link function", "if", "data", "[", "'link'", "]", "==", "'identity'", ":", "convert_func", "=", "lambda", "x", ":", "x", "elif", "data", "[", "'link'", "]", "==", "'logit'", ":", "convert_func", "=", "lambda", "x", ":", "1", "/", "(", "1", "+", "np", ".", "exp", "(", "-", "x", ")", ")", "else", ":", "assert", "False", ",", "\"ERROR: Unrecognized link function: \"", "+", "str", "(", "data", "[", "'link'", "]", ")", "# Convert negative feature values to plot values", "neg_val", "=", "data", "[", "'outValue'", "]", "for", "i", "in", "neg_features", ":", "val", "=", "float", "(", "i", "[", "0", "]", ")", "neg_val", "=", "neg_val", "+", "np", ".", "abs", "(", "val", ")", "i", "[", "0", "]", "=", "convert_func", "(", "neg_val", ")", "if", "len", "(", "neg_features", ")", ">", "0", ":", "total_neg", "=", "np", ".", "max", "(", "neg_features", "[", ":", ",", "0", "]", ".", "astype", "(", "float", ")", ")", "-", "np", ".", "min", "(", "neg_features", "[", ":", ",", "0", "]", ".", "astype", "(", "float", ")", ")", "else", ":", "total_neg", "=", "0", "# Convert positive feature values to plot values", "pos_val", "=", "data", "[", "'outValue'", "]", "for", "i", "in", "pos_features", ":", "val", "=", "float", "(", "i", "[", "0", "]", ")", "pos_val", "=", "pos_val", "-", "np", ".", "abs", "(", "val", ")", "i", "[", "0", "]", "=", "convert_func", "(", "pos_val", ")", "if", "len", "(", "pos_features", ")", ">", "0", ":", "total_pos", "=", "np", ".", "max", "(", "pos_features", "[", ":", ",", "0", "]", ".", "astype", "(", "float", ")", ")", "-", "np", ".", "min", "(", "pos_features", "[", ":", ",", "0", "]", ".", "astype", "(", "float", ")", ")", "else", ":", "total_pos", "=", "0", "# Convert output value and base value", "data", "[", "'outValue'", "]", "=", "convert_func", "(", "data", "[", "'outValue'", "]", ")", "data", "[", "'baseValue'", "]", "=", "convert_func", "(", "data", "[", "'baseValue'", "]", ")", "return", "neg_features", ",", "total_neg", ",", "pos_features", ",", "total_pos" ]	Format data.	[ "Format", "data", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/plots/force_matplotlib.py#L199-L253	train	Format data into a single tree node.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(1199 - 1151) + chr(0b110010 + 0o0), 21417 - 21409), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b110111 + 0o70) + chr(0b110010 + 0o0) + chr(0b110110) + chr(0b110000), 44414 - 44406), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(0b100000 + 0o22) + '\064' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(203 - 155) + chr(4542 - 4431) + '\x32' + chr(1424 - 1372) + chr(55), 32985 - 32977), ehT0Px3KOsy9('\060' + chr(0b11110 + 0o121) + chr(50) + chr(326 - 278) + chr(0b101111 + 0o2), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(54) + chr(0b10001 + 0o40), 51263 - 51255), ehT0Px3KOsy9(chr(1870 - 1822) + '\x6f' + '\062' + chr(0b110011) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1011001 + 0o26) + chr(130 - 81) + chr(48) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1476 - 1428) + '\157' + chr(52) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10045 - 9934) + chr(0b100 + 0o55) + '\060' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1311 - 1263) + chr(0b1101111) + chr(0b0 + 0o62) + '\x35' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(138 - 87) + '\061', 12308 - 12300), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b101111 + 0o7) + chr(0b10010 + 0o36), 18605 - 18597), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1110 + 0o141) + '\x32' + '\x35', 10088 - 10080), ehT0Px3KOsy9('\x30' + chr(10625 - 10514) + chr(51) + chr(50) + chr(0b110101), 57264 - 57256), ehT0Px3KOsy9(chr(48) + chr(0b1000 + 0o147) + '\067' + '\x31', 0o10), ehT0Px3KOsy9(chr(1392 - 1344) + '\x6f' + chr(1913 - 1864) + chr(0b110001) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(887 - 837) + chr(1429 - 1378), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6324 - 6213) + '\x33' + '\x33' + '\062', 0o10), ehT0Px3KOsy9(chr(1239 - 1191) + '\157' + chr(50) + chr(2702 - 2650) + chr(1407 - 1353), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(865 - 754) + '\x33' + chr(1716 - 1668) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(2647 - 2536) + chr(49) + '\x30' + chr(2325 - 2275), 8), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\063' + chr(0b100010 + 0o17), 52982 - 52974), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x36', 25938 - 25930), ehT0Px3KOsy9('\x30' + chr(111) + '\066' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(0b1100 + 0o46) + chr(0b101110 + 0o7) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b110010 + 0o75) + '\x33' + '\x33' + '\063', 13946 - 13938), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + '\x32' + chr(285 - 236), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(4879 - 4768) + chr(0b110011) + chr(0b110101) + chr(49), 39057 - 39049), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(53) + '\x36', 8), ehT0Px3KOsy9(chr(0b110000) + chr(1771 - 1660) + chr(422 - 371) + chr(55) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b110110) + '\x33', 47089 - 47081), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b100010 + 0o17) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b100110 + 0o16) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101101 + 0o12) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(551 - 503) + chr(837 - 786), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(705 - 652) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(445 - 396) + '\064' + '\061', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(53) + chr(0b11 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(2068 - 2020) + '\157' + chr(0b10011 + 0o40) + chr(0b110010), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(2809 - 2756) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'l'), chr(0b111 + 0o135) + chr(101) + '\143' + '\x6f' + '\x64' + chr(101))(chr(5501 - 5384) + chr(0b1100110 + 0o16) + chr(1064 - 962) + '\055' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def auOA2Vhna1aK(ULnjp6D6efFH): u4HFbQ_Dl1A4 = WqUC3KWvYVup.B0ePDhpqxN5n([[ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'$\xd5\xc5\xd3\xf4\xc3\xf86'), '\x64' + chr(101) + chr(0b101 + 0o136) + '\157' + '\144' + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(1938 - 1893) + chr(0b110001 + 0o7))][OeWW0F1dBPRQ][xafqLlk3kkUe(SXOLrMavuUCe(b"'\xd6\xc2\xc2\xe2\xc5"), chr(0b1010000 + 0o24) + '\x65' + '\x63' + chr(0b10110 + 0o131) + chr(100) + '\x65')(chr(0b1110101) + '\x74' + '\146' + chr(0b100000 + 0o15) + chr(0b100011 + 0o25))], ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'$\xd5\xc5\xd3\xf4\xc3\xf86'), chr(100) + chr(0b1001111 + 0o26) + chr(0b100110 + 0o75) + '\x6f' + chr(0b100 + 0o140) + '\145')(chr(0b101111 + 0o106) + chr(350 - 234) + chr(0b1100110 + 0o0) + chr(45) + chr(0b100 + 0o64))][OeWW0F1dBPRQ][xafqLlk3kkUe(SXOLrMavuUCe(b'4\xd1\xc8\xd2\xe4'), chr(0b1100 + 0o130) + chr(0b1100101) + '\x63' + chr(0b1101101 + 0o2) + chr(100) + chr(0b1100101))(chr(0b1001010 + 0o53) + chr(116) + chr(6024 - 5922) + '\x2d' + '\x38')], ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'$\xd5\xc5\xd3\xf4\xc3\xf8\x0bC\xccj'), chr(0b10010 + 0o122) + chr(0b1100101) + chr(4027 - 3928) + chr(9081 - 8970) + chr(0b1100100) + '\145')(chr(0b1010100 + 0o41) + chr(0b1110100) + '\146' + chr(45) + '\070')][OeWW0F1dBPRQ]] for OeWW0F1dBPRQ in ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'$\xd5\xc5\xd3\xf4\xc3\xf86'), chr(0b11111 + 0o105) + chr(0b1100 + 0o131) + chr(7939 - 7840) + chr(0b11010 + 0o125) + '\x64' + chr(0b11011 + 0o112))(chr(12481 - 12364) + chr(0b1110100) + '\x66' + chr(353 - 308) + '\070')].keys() if ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'$\xd5\xc5\xd3\xf4\xc3\xf86'), '\x64' + chr(404 - 303) + '\x63' + '\x6f' + '\144' + chr(8341 - 8240))(chr(0b101011 + 0o112) + chr(116) + chr(2299 - 2197) + '\055' + '\x38')][OeWW0F1dBPRQ][xafqLlk3kkUe(SXOLrMavuUCe(b"'\xd6\xc2\xc2\xe2\xc5"), chr(0b110101 + 0o57) + chr(0b11011 + 0o112) + chr(1634 - 1535) + '\x6f' + chr(5442 - 5342) + '\x65')(chr(5128 - 5011) + chr(116) + chr(0b1100110) + '\x2d' + chr(1621 - 1565))] < ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1100101 + 0o12) + chr(48), 0o10)]) u4HFbQ_Dl1A4 = WqUC3KWvYVup.B0ePDhpqxN5n(vUlqIvNSaRMa(u4HFbQ_Dl1A4, key=lambda OeWW0F1dBPRQ: kkSX4ccExqw4(OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(236 - 188) + chr(0b10101 + 0o132) + '\x30', 8)]), reverse=ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + '\x30', 8))) qr3iuxVQ4QiT = WqUC3KWvYVup.B0ePDhpqxN5n([[ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'$\xd5\xc5\xd3\xf4\xc3\xf86'), '\144' + chr(0b100110 + 0o77) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(8442 - 8341))('\165' + chr(0b1000111 + 0o55) + chr(102) + '\x2d' + chr(56))][OeWW0F1dBPRQ][xafqLlk3kkUe(SXOLrMavuUCe(b"'\xd6\xc2\xc2\xe2\xc5"), chr(100) + chr(7155 - 7054) + chr(0b1100011) + chr(3537 - 3426) + chr(100) + chr(0b1100101))('\x75' + chr(12195 - 12079) + '\x66' + chr(45) + '\070')], ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'$\xd5\xc5\xd3\xf4\xc3\xf86'), chr(100) + '\145' + chr(0b1100011) + '\157' + '\x64' + '\x65')(chr(117) + chr(9058 - 8942) + chr(0b1100110) + '\x2d' + '\x38')][OeWW0F1dBPRQ][xafqLlk3kkUe(SXOLrMavuUCe(b'4\xd1\xc8\xd2\xe4'), chr(100) + chr(2619 - 2518) + chr(0b1000 + 0o133) + '\157' + chr(3170 - 3070) + chr(101))(chr(5297 - 5180) + '\x74' + '\x66' + '\055' + '\070')], ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'$\xd5\xc5\xd3\xf4\xc3\xf8\x0bC\xccj'), chr(0b1100100) + chr(101) + '\143' + chr(111) + '\144' + '\x65')(chr(0b1000010 + 0o63) + '\164' + chr(3905 - 3803) + chr(1432 - 1387) + chr(56))][OeWW0F1dBPRQ]] for OeWW0F1dBPRQ in ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'$\xd5\xc5\xd3\xf4\xc3\xf86'), '\x64' + '\145' + chr(99) + '\x6f' + '\144' + chr(0b1100101))('\x75' + '\164' + '\x66' + chr(1666 - 1621) + chr(2831 - 2775))].keys() if ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'$\xd5\xc5\xd3\xf4\xc3\xf86'), chr(2722 - 2622) + '\x65' + '\143' + '\x6f' + '\x64' + chr(3176 - 3075))(chr(0b11110 + 0o127) + '\x74' + '\x66' + '\055' + '\x38')][OeWW0F1dBPRQ][xafqLlk3kkUe(SXOLrMavuUCe(b"'\xd6\xc2\xc2\xe2\xc5"), '\144' + '\145' + '\x63' + chr(111) + chr(100) + '\145')(chr(9574 - 9457) + '\164' + chr(0b1100110) + '\x2d' + chr(0b11111 + 0o31))] >= ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\060', 8)]) qr3iuxVQ4QiT = WqUC3KWvYVup.B0ePDhpqxN5n(vUlqIvNSaRMa(qr3iuxVQ4QiT, key=lambda OeWW0F1dBPRQ: kkSX4ccExqw4(OeWW0F1dBPRQ[ehT0Px3KOsy9('\060' + chr(0b111101 + 0o62) + '\060', 8)]), reverse=ehT0Px3KOsy9(chr(1284 - 1236) + '\x6f' + '\061', 20827 - 20819))) if ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'.\xd9\xca\xcc'), chr(9244 - 9144) + chr(4709 - 4608) + chr(0b111000 + 0o53) + chr(111) + '\144' + chr(4072 - 3971))(chr(0b1000101 + 0o60) + chr(116) + chr(3463 - 3361) + chr(45) + chr(0b11010 + 0o36))] == xafqLlk3kkUe(SXOLrMavuUCe(b'+\xd4\xc1\xc9\xf5\xd8\xe9<'), '\144' + chr(6619 - 6518) + chr(99) + chr(0b101 + 0o152) + chr(0b1001100 + 0o30) + '\145')(chr(117) + '\164' + chr(0b101 + 0o141) + chr(0b101001 + 0o4) + '\x38'): def pzoxAClGPaBI(OeWW0F1dBPRQ): return OeWW0F1dBPRQ elif ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'.\xd9\xca\xcc'), chr(3266 - 3166) + chr(0b1100101) + '\143' + '\x6f' + chr(3922 - 3822) + '\x65')(chr(11336 - 11219) + chr(116) + chr(9565 - 9463) + '\x2d' + '\070')] == xafqLlk3kkUe(SXOLrMavuUCe(b'.\xdf\xc3\xce\xf5'), chr(3342 - 3242) + chr(0b101 + 0o140) + chr(0b1100011) + '\157' + chr(9308 - 9208) + chr(101))(chr(117) + chr(0b1110100) + '\x66' + chr(45) + '\x38'): def pzoxAClGPaBI(OeWW0F1dBPRQ): return ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + '\x31', 8) / (ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1111 + 0o42), 8) + xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b"'\xc8\xd4"), chr(5458 - 5358) + chr(0b1100101) + '\143' + chr(111) + chr(0b1011010 + 0o12) + '\145')(chr(0b1001010 + 0o53) + chr(116) + '\x66' + chr(0b100000 + 0o15) + chr(0b111000)))(-OeWW0F1dBPRQ)) else: assert ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + chr(97 - 49), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\xe2\xf6\xe8\xd3\x8b\xbd\x10L5\xccz\x1fr\xbbP06\xbe\x86\xa9+7m\x10\xc8\xae\x7f\x8a\xda\x95\x1c\xa7\x9b\x18'), chr(100) + '\145' + '\143' + '\157' + chr(100) + chr(101))('\x75' + chr(2177 - 2061) + chr(0b0 + 0o146) + chr(0b101100 + 0o1) + '\x38') + M8_cKLkHVB2V(ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'.\xd9\xca\xcc'), '\144' + chr(101) + chr(4192 - 4093) + chr(0b101101 + 0o102) + '\x64' + chr(0b1100101))(chr(117) + chr(11763 - 11647) + chr(0b1100110) + '\x2d' + chr(0b10000 + 0o50))]) BQJVD7P3b4PH = ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'-\xc5\xd0\xf1\xe0\xdd\xe8 '), '\x64' + chr(1742 - 1641) + chr(298 - 199) + chr(0b1001100 + 0o43) + '\144' + chr(0b1100101))(chr(0b101110 + 0o107) + chr(0b1110100) + '\146' + chr(45) + chr(0b111000))] for WVxHKyX45z_L in u4HFbQ_Dl1A4: pQxH2D_k9sXQ = kkSX4ccExqw4(WVxHKyX45z_L[ehT0Px3KOsy9('\060' + chr(0b101001 + 0o106) + chr(48), 8)]) BQJVD7P3b4PH = BQJVD7P3b4PH + WqUC3KWvYVup.abs(pQxH2D_k9sXQ) WVxHKyX45z_L[ehT0Px3KOsy9(chr(1689 - 1641) + chr(579 - 468) + '\x30', 8)] = pzoxAClGPaBI(BQJVD7P3b4PH) if c2A0yzQpDQB3(u4HFbQ_Dl1A4) > ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(0b110000), 8): ikJd26tDVyaM = WqUC3KWvYVup.tsdjvlgh9gDP(u4HFbQ_Dl1A4[:, ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11000 + 0o30), 8)].astype(kkSX4ccExqw4)) - WqUC3KWvYVup.Dx22bkKPdt5d(u4HFbQ_Dl1A4[:, ehT0Px3KOsy9(chr(2304 - 2256) + '\x6f' + chr(0b111 + 0o51), 8)].astype(kkSX4ccExqw4)) else: ikJd26tDVyaM = ehT0Px3KOsy9('\060' + '\x6f' + chr(48), 8) bk5EZQhoi8uK = ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'-\xc5\xd0\xf1\xe0\xdd\xe8 '), chr(6739 - 6639) + '\x65' + '\x63' + chr(0b1101111) + chr(0b1100100) + '\x65')('\x75' + chr(0b1000000 + 0o64) + chr(0b1100110) + '\x2d' + '\070')] for WVxHKyX45z_L in qr3iuxVQ4QiT: pQxH2D_k9sXQ = kkSX4ccExqw4(WVxHKyX45z_L[ehT0Px3KOsy9('\060' + chr(2378 - 2267) + chr(48), 8)]) bk5EZQhoi8uK = bk5EZQhoi8uK - WqUC3KWvYVup.abs(pQxH2D_k9sXQ) WVxHKyX45z_L[ehT0Px3KOsy9(chr(261 - 213) + '\157' + '\x30', 8)] = pzoxAClGPaBI(bk5EZQhoi8uK) if c2A0yzQpDQB3(qr3iuxVQ4QiT) > ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x30', 8): vLjLPbwSv6Is = WqUC3KWvYVup.tsdjvlgh9gDP(qr3iuxVQ4QiT[:, ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(48), 8)].astype(kkSX4ccExqw4)) - WqUC3KWvYVup.Dx22bkKPdt5d(qr3iuxVQ4QiT[:, ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x30', 8)].astype(kkSX4ccExqw4)) else: vLjLPbwSv6Is = ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000), 8) ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'-\xc5\xd0\xf1\xe0\xdd\xe8 '), chr(5562 - 5462) + chr(101) + chr(99) + chr(0b110000 + 0o77) + chr(0b1100100) + '\145')(chr(0b1011011 + 0o32) + chr(0b10110 + 0o136) + chr(3143 - 3041) + chr(45) + '\070')] = pzoxAClGPaBI(ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'-\xc5\xd0\xf1\xe0\xdd\xe8 '), chr(0b1001000 + 0o34) + '\145' + '\x63' + chr(111) + chr(0b110010 + 0o62) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(8247 - 8145) + chr(1056 - 1011) + chr(56))]) ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b' \xd1\xd7\xc2\xd7\xd0\xf10G'), chr(8147 - 8047) + '\145' + '\143' + chr(11560 - 11449) + chr(0b1010 + 0o132) + chr(9910 - 9809))(chr(13304 - 13187) + chr(0b1010000 + 0o44) + chr(0b111011 + 0o53) + '\055' + '\070')] = pzoxAClGPaBI(ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b' \xd1\xd7\xc2\xd7\xd0\xf10G'), '\144' + chr(584 - 483) + '\143' + '\157' + chr(0b1100100) + chr(0b101011 + 0o72))('\x75' + chr(0b110 + 0o156) + chr(6213 - 6111) + chr(0b100101 + 0o10) + '\x38')]) return (u4HFbQ_Dl1A4, ikJd26tDVyaM, qr3iuxVQ4QiT, vLjLPbwSv6Is)
slundberg/shap	shap/plots/force_matplotlib.py	draw_additive_plot	def draw_additive_plot(data, figsize, show, text_rotation=0): """Draw additive plot.""" # Turn off interactive plot if show == False: plt.ioff() # Format data neg_features, total_neg, pos_features, total_pos = format_data(data) # Compute overall metrics base_value = data['baseValue'] out_value = data['outValue'] offset_text = (np.abs(total_neg) + np.abs(total_pos)) * 0.04 # Define plots fig, ax = plt.subplots(figsize=figsize) # Compute axis limit update_axis_limits(ax, total_pos, pos_features, total_neg, neg_features, base_value) # Define width of bar width_bar = 0.1 width_separators = (ax.get_xlim()[1] - ax.get_xlim()[0]) / 200 # Create bar for negative shap values rectangle_list, separator_list = draw_bars(out_value, neg_features, 'negative', width_separators, width_bar) for i in rectangle_list: ax.add_patch(i) for i in separator_list: ax.add_patch(i) # Create bar for positive shap values rectangle_list, separator_list = draw_bars(out_value, pos_features, 'positive', width_separators, width_bar) for i in rectangle_list: ax.add_patch(i) for i in separator_list: ax.add_patch(i) # Add labels total_effect = np.abs(total_neg) + total_pos fig, ax = draw_labels(fig, ax, out_value, neg_features, 'negative', offset_text, total_effect, min_perc=0.05, text_rotation=text_rotation) fig, ax = draw_labels(fig, ax, out_value, pos_features, 'positive', offset_text, total_effect, min_perc=0.05, text_rotation=text_rotation) # higher lower legend draw_higher_lower_element(out_value, offset_text) # Add label for base value draw_base_element(base_value, ax) # Add output label out_names = data['outNames'][0] draw_output_element(out_names, out_value, ax) if show: plt.show() else: return plt.gcf()	python	def draw_additive_plot(data, figsize, show, text_rotation=0): """Draw additive plot.""" # Turn off interactive plot if show == False: plt.ioff() # Format data neg_features, total_neg, pos_features, total_pos = format_data(data) # Compute overall metrics base_value = data['baseValue'] out_value = data['outValue'] offset_text = (np.abs(total_neg) + np.abs(total_pos)) * 0.04 # Define plots fig, ax = plt.subplots(figsize=figsize) # Compute axis limit update_axis_limits(ax, total_pos, pos_features, total_neg, neg_features, base_value) # Define width of bar width_bar = 0.1 width_separators = (ax.get_xlim()[1] - ax.get_xlim()[0]) / 200 # Create bar for negative shap values rectangle_list, separator_list = draw_bars(out_value, neg_features, 'negative', width_separators, width_bar) for i in rectangle_list: ax.add_patch(i) for i in separator_list: ax.add_patch(i) # Create bar for positive shap values rectangle_list, separator_list = draw_bars(out_value, pos_features, 'positive', width_separators, width_bar) for i in rectangle_list: ax.add_patch(i) for i in separator_list: ax.add_patch(i) # Add labels total_effect = np.abs(total_neg) + total_pos fig, ax = draw_labels(fig, ax, out_value, neg_features, 'negative', offset_text, total_effect, min_perc=0.05, text_rotation=text_rotation) fig, ax = draw_labels(fig, ax, out_value, pos_features, 'positive', offset_text, total_effect, min_perc=0.05, text_rotation=text_rotation) # higher lower legend draw_higher_lower_element(out_value, offset_text) # Add label for base value draw_base_element(base_value, ax) # Add output label out_names = data['outNames'][0] draw_output_element(out_names, out_value, ax) if show: plt.show() else: return plt.gcf()	[ "def", "draw_additive_plot", "(", "data", ",", "figsize", ",", "show", ",", "text_rotation", "=", "0", ")", ":", "# Turn off interactive plot", "if", "show", "==", "False", ":", "plt", ".", "ioff", "(", ")", "# Format data", "neg_features", ",", "total_neg", ",", "pos_features", ",", "total_pos", "=", "format_data", "(", "data", ")", "# Compute overall metrics", "base_value", "=", "data", "[", "'baseValue'", "]", "out_value", "=", "data", "[", "'outValue'", "]", "offset_text", "=", "(", "np", ".", "abs", "(", "total_neg", ")", "+", "np", ".", "abs", "(", "total_pos", ")", ")", "*", "0.04", "# Define plots", "fig", ",", "ax", "=", "plt", ".", "subplots", "(", "figsize", "=", "figsize", ")", "# Compute axis limit", "update_axis_limits", "(", "ax", ",", "total_pos", ",", "pos_features", ",", "total_neg", ",", "neg_features", ",", "base_value", ")", "# Define width of bar", "width_bar", "=", "0.1", "width_separators", "=", "(", "ax", ".", "get_xlim", "(", ")", "[", "1", "]", "-", "ax", ".", "get_xlim", "(", ")", "[", "0", "]", ")", "/", "200", "# Create bar for negative shap values", "rectangle_list", ",", "separator_list", "=", "draw_bars", "(", "out_value", ",", "neg_features", ",", "'negative'", ",", "width_separators", ",", "width_bar", ")", "for", "i", "in", "rectangle_list", ":", "ax", ".", "add_patch", "(", "i", ")", "for", "i", "in", "separator_list", ":", "ax", ".", "add_patch", "(", "i", ")", "# Create bar for positive shap values", "rectangle_list", ",", "separator_list", "=", "draw_bars", "(", "out_value", ",", "pos_features", ",", "'positive'", ",", "width_separators", ",", "width_bar", ")", "for", "i", "in", "rectangle_list", ":", "ax", ".", "add_patch", "(", "i", ")", "for", "i", "in", "separator_list", ":", "ax", ".", "add_patch", "(", "i", ")", "# Add labels", "total_effect", "=", "np", ".", "abs", "(", "total_neg", ")", "+", "total_pos", "fig", ",", "ax", "=", "draw_labels", "(", "fig", ",", "ax", ",", "out_value", ",", "neg_features", ",", "'negative'", ",", "offset_text", ",", "total_effect", ",", "min_perc", "=", "0.05", ",", "text_rotation", "=", "text_rotation", ")", "fig", ",", "ax", "=", "draw_labels", "(", "fig", ",", "ax", ",", "out_value", ",", "pos_features", ",", "'positive'", ",", "offset_text", ",", "total_effect", ",", "min_perc", "=", "0.05", ",", "text_rotation", "=", "text_rotation", ")", "# higher lower legend", "draw_higher_lower_element", "(", "out_value", ",", "offset_text", ")", "# Add label for base value", "draw_base_element", "(", "base_value", ",", "ax", ")", "# Add output label", "out_names", "=", "data", "[", "'outNames'", "]", "[", "0", "]", "draw_output_element", "(", "out_names", ",", "out_value", ",", "ax", ")", "if", "show", ":", "plt", ".", "show", "(", ")", "else", ":", "return", "plt", ".", "gcf", "(", ")" ]	Draw additive plot.	[ "Draw", "additive", "plot", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/plots/force_matplotlib.py#L333-L397	train	Draw additive plot.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1000 + 0o147) + chr(0b110011) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b0 + 0o157) + '\x37' + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2523 - 2472) + chr(49) + chr(0b101010 + 0o6), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1001111 + 0o40) + chr(0b100010 + 0o17) + chr(0b110110) + chr(0b100011 + 0o21), 0b1000), ehT0Px3KOsy9(chr(1784 - 1736) + chr(0b1011001 + 0o26) + chr(2245 - 2194) + chr(1144 - 1094) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(11354 - 11243) + '\063' + chr(0b110100) + '\067', 0o10), ehT0Px3KOsy9(chr(2198 - 2150) + chr(0b1011000 + 0o27) + chr(0b10001 + 0o40) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(3805 - 3694) + chr(1943 - 1893) + chr(0b110001) + chr(1034 - 983), ord("\x08")), ehT0Px3KOsy9(chr(1405 - 1357) + chr(7770 - 7659) + chr(0b101011 + 0o11) + chr(0b10010 + 0o37), 1073 - 1065), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b110011) + chr(2189 - 2140), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + '\063' + '\062' + chr(1064 - 1009), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\064' + chr(1292 - 1243), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110111) + chr(48), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2455 - 2404) + '\x36' + '\060', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b100111 + 0o16) + chr(0b10000 + 0o41), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\060' + chr(0b1000 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(601 - 546) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5126 - 5015) + chr(0b110010) + chr(48) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1100 + 0o51) + chr(2681 - 2628), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + '\067' + chr(0b110010 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(51) + chr(0b101001 + 0o10), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100100 + 0o113) + '\x32' + chr(911 - 862) + chr(87 - 37), 37018 - 37010), ehT0Px3KOsy9(chr(467 - 419) + chr(0b1010 + 0o145) + '\x34', 33372 - 33364), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x36' + chr(620 - 569), ord("\x08")), ehT0Px3KOsy9(chr(1984 - 1936) + '\157' + '\062' + chr(2542 - 2487) + chr(0b11110 + 0o26), 0b1000), ehT0Px3KOsy9('\060' + chr(9392 - 9281) + chr(1609 - 1559) + chr(0b110001 + 0o4) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8615 - 8504) + chr(50) + '\065' + chr(54), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110001 + 0o6) + chr(0b100100 + 0o23), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\063' + chr(0b10101 + 0o35), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + chr(50) + chr(0b10 + 0o61) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10000 + 0o137) + chr(51) + chr(0b11110 + 0o22) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(2432 - 2382) + chr(0b101010 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\x36' + chr(1326 - 1275), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(0b110010) + chr(0b11011 + 0o26) + chr(0b100111 + 0o16), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + '\x33' + chr(0b100111 + 0o13), 8), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(0b110011) + chr(794 - 739) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(55) + chr(0b110100), 53567 - 53559), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(51) + '\063', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101100 + 0o11) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'2'), chr(100) + '\145' + chr(1956 - 1857) + '\x6f' + '\x64' + chr(101))('\165' + chr(0b1110100) + chr(623 - 521) + '\055' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def pwDm3wMTC5Co(ULnjp6D6efFH, EOCd1WZj2r_S, DCpH_3Y2dTvl, VOaNK7TojGg3=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\060', 0b1000)): if not DCpH_3Y2dTvl: xafqLlk3kkUe(eRubm8FH879n, xafqLlk3kkUe(SXOLrMavuUCe(b'uW\xae\x12'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\157' + chr(7603 - 7503) + chr(0b101000 + 0o75))('\x75' + chr(116) + chr(0b10111 + 0o117) + '\x2d' + '\x38'))() (u4HFbQ_Dl1A4, ikJd26tDVyaM, qr3iuxVQ4QiT, vLjLPbwSv6Is) = auOA2Vhna1aK(ULnjp6D6efFH) wScpY1SrPa2R = ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'~Y\xbb\x11\x80\x86`\xfeD'), chr(100) + chr(101) + chr(9494 - 9395) + chr(111) + '\144' + '\145')(chr(0b1110101) + '\164' + '\x66' + chr(0b100 + 0o51) + chr(0b111000))] f4E4sHN_IAin = ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'sM\xbc"\xb7\x8by\xee'), chr(0b1100100) + '\145' + chr(99) + chr(0b1101111) + chr(2697 - 2597) + chr(3398 - 3297))(chr(8159 - 8042) + '\x74' + chr(102) + chr(45) + '\070')] eU_iE0cfnX0g = (WqUC3KWvYVup.abs(ikJd26tDVyaM) + WqUC3KWvYVup.abs(vLjLPbwSv6Is)) * 0.04 (IPypcZ53eNRW, UFCqCPYQEkxy) = eRubm8FH879n.subplots(figsize=EOCd1WZj2r_S) eA2tPfiNGKnk(UFCqCPYQEkxy, vLjLPbwSv6Is, qr3iuxVQ4QiT, ikJd26tDVyaM, u4HFbQ_Dl1A4, wScpY1SrPa2R) af45Mdub0nuQ = 0.1 CUJ_wdW2SzYu = (UFCqCPYQEkxy.get_xlim()[ehT0Px3KOsy9('\x30' + chr(111) + '\x31', 18914 - 18906)] - UFCqCPYQEkxy.get_xlim()[ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\060', 8)]) / ehT0Px3KOsy9(chr(0b110000) + chr(12115 - 12004) + chr(0b10101 + 0o36) + chr(1416 - 1367) + chr(48), 8) (nOPLTxmjLXX8, w1uH23LInq13) = hsDG0aSEKHqz(f4E4sHN_IAin, u4HFbQ_Dl1A4, xafqLlk3kkUe(SXOLrMavuUCe(b'r]\xaf\x15\xa2\x8ez\xee'), chr(0b1100100) + chr(0b111101 + 0o50) + chr(99) + chr(111) + chr(0b1100100) + chr(0b1011000 + 0o15))('\x75' + chr(116) + '\146' + chr(0b11101 + 0o20) + chr(830 - 774)), CUJ_wdW2SzYu, af45Mdub0nuQ) for WVxHKyX45z_L in nOPLTxmjLXX8: xafqLlk3kkUe(UFCqCPYQEkxy, xafqLlk3kkUe(SXOLrMavuUCe(b'}\\\xac+\xa6\x86x\xe8I'), '\x64' + '\x65' + chr(8965 - 8866) + '\x6f' + chr(3226 - 3126) + chr(0b1011100 + 0o11))('\165' + chr(0b1011010 + 0o32) + chr(102) + chr(0b1000 + 0o45) + chr(839 - 783)))(WVxHKyX45z_L) for WVxHKyX45z_L in w1uH23LInq13: xafqLlk3kkUe(UFCqCPYQEkxy, xafqLlk3kkUe(SXOLrMavuUCe(b'}\\\xac+\xa6\x86x\xe8I'), chr(0b1100100) + '\145' + chr(1466 - 1367) + chr(111) + chr(0b1100100) + chr(679 - 578))('\165' + chr(116) + chr(102) + '\x2d' + chr(0b100110 + 0o22)))(WVxHKyX45z_L) (nOPLTxmjLXX8, w1uH23LInq13) = hsDG0aSEKHqz(f4E4sHN_IAin, qr3iuxVQ4QiT, xafqLlk3kkUe(SXOLrMavuUCe(b'lW\xbb\x1d\xa2\x8ez\xee'), '\x64' + '\x65' + '\143' + '\157' + chr(0b1011110 + 0o6) + chr(101))(chr(117) + chr(116) + chr(354 - 252) + chr(0b101101) + chr(1998 - 1942)), CUJ_wdW2SzYu, af45Mdub0nuQ) for WVxHKyX45z_L in nOPLTxmjLXX8: xafqLlk3kkUe(UFCqCPYQEkxy, xafqLlk3kkUe(SXOLrMavuUCe(b'}\\\xac+\xa6\x86x\xe8I'), '\144' + chr(101) + chr(0b11011 + 0o110) + '\157' + chr(100) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b10000 + 0o50)))(WVxHKyX45z_L) for WVxHKyX45z_L in w1uH23LInq13: xafqLlk3kkUe(UFCqCPYQEkxy, xafqLlk3kkUe(SXOLrMavuUCe(b'}\\\xac+\xa6\x86x\xe8I'), '\144' + chr(0b1100101) + '\x63' + '\157' + chr(0b1100100) + chr(0b100000 + 0o105))(chr(0b1100110 + 0o17) + chr(0b100111 + 0o115) + chr(102) + '\x2d' + chr(726 - 670)))(WVxHKyX45z_L) PmU7OU1fRP_K = WqUC3KWvYVup.abs(ikJd26tDVyaM) + vLjLPbwSv6Is (IPypcZ53eNRW, UFCqCPYQEkxy) = rSphOkA3nfgt(IPypcZ53eNRW, UFCqCPYQEkxy, f4E4sHN_IAin, u4HFbQ_Dl1A4, xafqLlk3kkUe(SXOLrMavuUCe(b'r]\xaf\x15\xa2\x8ez\xee'), chr(0b1100100) + chr(9365 - 9264) + '\x63' + '\x6f' + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b0 + 0o55) + chr(0b111000)), eU_iE0cfnX0g, PmU7OU1fRP_K, min_perc=0.05, text_rotation=VOaNK7TojGg3) (IPypcZ53eNRW, UFCqCPYQEkxy) = rSphOkA3nfgt(IPypcZ53eNRW, UFCqCPYQEkxy, f4E4sHN_IAin, qr3iuxVQ4QiT, xafqLlk3kkUe(SXOLrMavuUCe(b'lW\xbb\x1d\xa2\x8ez\xee'), '\144' + chr(0b10110 + 0o117) + chr(2868 - 2769) + '\157' + chr(0b1011010 + 0o12) + '\x65')(chr(0b111010 + 0o73) + chr(10473 - 10357) + chr(0b1100110) + '\x2d' + chr(0b1001 + 0o57)), eU_iE0cfnX0g, PmU7OU1fRP_K, min_perc=0.05, text_rotation=VOaNK7TojGg3) IQd9rQCOGJyP(f4E4sHN_IAin, eU_iE0cfnX0g) rrek6q4O1w6O(wScpY1SrPa2R, UFCqCPYQEkxy) AH1IQag9s8hy = ULnjp6D6efFH[xafqLlk3kkUe(SXOLrMavuUCe(b'sM\xbc:\xb7\x8ai\xf8'), chr(1218 - 1118) + chr(0b1010001 + 0o24) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(0b1000111 + 0o36))('\x75' + '\x74' + '\146' + '\055' + chr(0b10010 + 0o46))][ehT0Px3KOsy9(chr(2152 - 2104) + chr(0b1101111) + '\060', 8)] frmSYl7oIJd8(AH1IQag9s8hy, f4E4sHN_IAin, UFCqCPYQEkxy) if DCpH_3Y2dTvl: xafqLlk3kkUe(eRubm8FH879n, xafqLlk3kkUe(SXOLrMavuUCe(b'oP\xa7\x03'), chr(100) + chr(380 - 279) + chr(896 - 797) + '\x6f' + chr(100) + chr(101))(chr(117) + chr(5661 - 5545) + '\146' + '\x2d' + '\x38'))() else: return xafqLlk3kkUe(eRubm8FH879n, xafqLlk3kkUe(SXOLrMavuUCe(b'{[\xae'), chr(9513 - 9413) + chr(0b10001 + 0o124) + chr(0b111010 + 0o51) + chr(6700 - 6589) + chr(0b11110 + 0o106) + '\145')(chr(117) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(614 - 558)))()
slundberg/shap	setup.py	try_run_setup	def try_run_setup(kwargs): """ Fails gracefully when various install steps don't work. """ try: run_setup(kwargs) except Exception as e: print(str(e)) if "xgboost" in str(e).lower(): kwargs["test_xgboost"] = False print("Couldn't install XGBoost for testing!") try_run_setup(kwargs) elif "lightgbm" in str(e).lower(): kwargs["test_lightgbm"] = False print("Couldn't install LightGBM for testing!") try_run_setup(kwargs) elif kwargs["with_binary"]: kwargs["with_binary"] = False print("WARNING: The C extension could not be compiled, sklearn tree models not supported.") try_run_setup(**kwargs) else: print("ERROR: Failed to build!")	python	def try_run_setup(kwargs): """ Fails gracefully when various install steps don't work. """ try: run_setup(kwargs) except Exception as e: print(str(e)) if "xgboost" in str(e).lower(): kwargs["test_xgboost"] = False print("Couldn't install XGBoost for testing!") try_run_setup(kwargs) elif "lightgbm" in str(e).lower(): kwargs["test_lightgbm"] = False print("Couldn't install LightGBM for testing!") try_run_setup(kwargs) elif kwargs["with_binary"]: kwargs["with_binary"] = False print("WARNING: The C extension could not be compiled, sklearn tree models not supported.") try_run_setup(**kwargs) else: print("ERROR: Failed to build!")	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[ "Fails", "gracefully", "when", "various", "install", "steps", "don", "t", "work", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/setup.py#L101-L122	train	Fail gracefully when various install steps don t work.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b110110) + chr(0b101101 + 0o10), 0o10), ehT0Px3KOsy9(chr(2189 - 2141) + chr(5977 - 5866) + chr(0b110101) + '\062', 32601 - 32593), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(598 - 547) + chr(1934 - 1886) + chr(0b101000 + 0o13), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9116 - 9005) + chr(0b10000 + 0o42) + chr(2889 - 2835) + chr(53), 8), ehT0Px3KOsy9(chr(1196 - 1148) + chr(0b110000 + 0o77) + chr(50) + chr(0b110001) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\x37' + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10101 + 0o132) + chr(251 - 201) + chr(0b10101 + 0o35) + chr(955 - 906), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(2269 - 2219) + chr(0b110000) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(55) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(50) + chr(52) + chr(1595 - 1544), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(7795 - 7684) + chr(0b110001) + '\062' + chr(0b110010), 49163 - 49155), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(1454 - 1405) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(270 - 219) + chr(0b110011) + chr(50), 38751 - 38743), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(704 - 654) + chr(0b10 + 0o56) + chr(1033 - 979), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(51) + chr(0b100011 + 0o24) + chr(892 - 837), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(52) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(7292 - 7181) + chr(0b110001 + 0o1) + '\x37' + '\067', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x36' + chr(0b110101 + 0o2), 0b1000), ehT0Px3KOsy9(chr(1243 - 1195) + chr(0b1101111) + chr(0b100110 + 0o14) + chr(0b110101) + chr(0b101001 + 0o10), 56057 - 56049), ehT0Px3KOsy9(chr(1789 - 1741) + chr(111) + chr(49) + chr(91 - 43) + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(2270 - 2219) + chr(0b101110 + 0o4) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + '\061' + '\x31' + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(50) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101000 + 0o11) + '\064' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(55) + '\x30', 24321 - 24313), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11000 + 0o31) + '\x30' + chr(0b10110 + 0o36), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\060' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\x35' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9774 - 9663) + chr(0b10000 + 0o41) + '\065' + chr(0b110 + 0o57), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(0b110110), 23134 - 23126), ehT0Px3KOsy9(chr(677 - 629) + '\x6f' + chr(49) + chr(48) + chr(0b1100 + 0o51), 8), ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + chr(450 - 401) + chr(0b110111) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11 + 0o154) + '\060', 26571 - 26563), ehT0Px3KOsy9(chr(0b110000) + chr(0b110001 + 0o76) + chr(0b110110) + chr(0b1000 + 0o50), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10000 + 0o43) + chr(1079 - 1025) + chr(1881 - 1828), 1020 - 1012), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(50) + chr(0b110011) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\x37' + '\066', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1539 - 1491) + chr(5590 - 5479) + chr(0b1101 + 0o46) + '\062' + chr(52), 1591 - 1583)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(622 - 569) + chr(1438 - 1390), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b'), chr(0b1100100) + '\x65' + '\143' + '\157' + chr(100) + '\145')(chr(0b1110101) + chr(0b1000001 + 0o63) + chr(0b10010 + 0o124) + chr(1660 - 1615) + chr(1159 - 1103)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def wqq1zAxxJ8YN(M8EIoTs2GJXE): try: EwATcZIbVf05(M8EIoTs2GJXE) except jLmadlzMdunT as GlnVAPeT6CUe: zLUzGokYBM2Z(M8_cKLkHVB2V(GlnVAPeT6CUe)) if xafqLlk3kkUe(SXOLrMavuUCe(b'\xcdM\xa1\xda\xe7`\xcc'), chr(0b1010 + 0o132) + chr(101) + '\x63' + chr(111) + chr(8532 - 8432) + chr(0b100111 + 0o76))(chr(117) + chr(0b1110100) + chr(102) + chr(45) + '\x38') in xafqLlk3kkUe(M8_cKLkHVB2V(GlnVAPeT6CUe), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9E\xb4\xd0\xfa'), chr(0b1011100 + 0o10) + chr(7602 - 7501) + chr(99) + chr(111) + chr(100) + chr(0b10011 + 0o122))(chr(10683 - 10566) + '\x74' + chr(3701 - 3599) + '\x2d' + '\x38'))(): M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1O\xb0\xc1\xd7k\xdf\xf3\xed\x10\xd0&'), chr(0b11111 + 0o105) + chr(7286 - 7185) + chr(0b1100011) + '\157' + '\144' + '\145')(chr(0b1110101) + chr(0b1100100 + 0o20) + '\146' + chr(0b101101) + chr(2334 - 2278))] = ehT0Px3KOsy9(chr(1894 - 1846) + '\157' + '\x30', 8) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6E\xb6\xd9\xec}\x9f\xe5\xa2\x16\xcd!;\xbb\xea\x93\x05\xe7p\xeb\xbd;\xe7G^+\xf6\xcc\x19c6\ni^\x92\xba'), '\x64' + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(6452 - 6351))('\x75' + '\164' + chr(102) + '\x2d' + chr(1742 - 1686))) wqq1zAxxJ8YN(M8EIoTs2GJXE) elif xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9C\xa4\xdd\xfct\xda\xfc'), chr(1288 - 1188) + chr(0b100101 + 0o100) + '\143' + chr(0b1010 + 0o145) + '\144' + '\x65')(chr(6755 - 6638) + '\164' + chr(0b1100110) + chr(45) + '\070') in xafqLlk3kkUe(M8_cKLkHVB2V(GlnVAPeT6CUe), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9E\xb4\xd0\xfa'), '\144' + '\145' + chr(0b1100011) + chr(111) + '\x64' + '\x65')(chr(0b1100001 + 0o24) + chr(116) + '\146' + chr(45) + chr(0b111000)))(): M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1O\xb0\xc1\xd7\x7f\xd1\xf6\xea\x0b\xc40"'), '\144' + chr(1309 - 1208) + chr(0b1100011) + '\x6f' + '\x64' + '\145')('\165' + chr(9350 - 9234) + chr(0b1100110) + chr(45) + chr(0b111000))] = ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(48), 8) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6E\xb6\xd9\xec}\x9f\xe5\xa2\x16\xcd!;\xbb\xea\x93\x05\xf3^\xce-\xa6\x0f\xd1\x18"\xeb\x9eMr \rtY\x9b\xfc_'), '\144' + chr(6178 - 6077) + chr(0b1100011) + chr(0b100 + 0o153) + '\144' + chr(0b1100101))(chr(0b10010 + 0o143) + chr(9133 - 9017) + '\146' + chr(45) + chr(0b101000 + 0o20))) wqq1zAxxJ8YN(M8EIoTs2GJXE) elif M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2C\xb7\xdd\xd7q\xd1\xff\xe3\r\xda'), chr(0b111010 + 0o52) + chr(0b1001001 + 0o34) + '\143' + chr(0b111 + 0o150) + '\144' + chr(101))(chr(117) + chr(116) + chr(6696 - 6594) + chr(0b101101) + chr(2870 - 2814))]: M8EIoTs2GJXE[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2C\xb7\xdd\xd7q\xd1\xff\xe3\r\xda'), chr(0b1000000 + 0o44) + chr(0b1100101) + '\x63' + chr(111) + chr(0b100 + 0o140) + chr(0b1100101))(chr(117) + chr(0b1101001 + 0o13) + '\x66' + chr(45) + chr(1560 - 1504))] = ehT0Px3KOsy9('\x30' + chr(2978 - 2867) + chr(2276 - 2228), 8) zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b"\xe2k\x91\xfb\xc1]\xff\xab\xa2+\xcb7o\x99\xa6\x9a]\xcbR\xc76\xbb'\xfdG[+\xf1\x80\t&+\x11t\x10\x97\xfe^i\xbb\xd8Z\xaa\xd9\xedw\x94\xb1\xf1\x14\xcf7.\xa8\xe8\xdfQ\xcdR\xcce\xbf'\xf7\x02T7\xa4\x82\x02re\ru@\x85\xf4\x0c~\xb1\xd1\x04"), chr(8657 - 8557) + chr(2615 - 2514) + chr(99) + chr(0b111100 + 0o63) + chr(100) + chr(101))(chr(545 - 428) + chr(4590 - 4474) + '\x66' + chr(45) + chr(0b100011 + 0o25))) wqq1zAxxJ8YN(M8EIoTs2GJXE) else: zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0x\x91\xfa\xda)\x98\xd7\xe3\x16\xcf7+\xfa\xf2\x90\x05\xddB\xc0)\xb6i'), chr(8187 - 8087) + '\145' + chr(0b1100011 + 0o0) + chr(0b10001 + 0o136) + '\144' + chr(0b1100101))(chr(117) + chr(296 - 180) + chr(102) + '\055' + chr(56)))
slundberg/shap	shap/explainers/deep/deep_pytorch.py	deeplift_grad	def deeplift_grad(module, grad_input, grad_output): """The backward hook which computes the deeplift gradient for an nn.Module """ # first, get the module type module_type = module.__class__.__name__ # first, check the module is supported if module_type in op_handler: if op_handler[module_type].__name__ not in ['passthrough', 'linear_1d']: return op_handler[module_type](module, grad_input, grad_output) else: print('Warning: unrecognized nn.Module: {}'.format(module_type)) return grad_input	python	def deeplift_grad(module, grad_input, grad_output): """The backward hook which computes the deeplift gradient for an nn.Module """ # first, get the module type module_type = module.__class__.__name__ # first, check the module is supported if module_type in op_handler: if op_handler[module_type].__name__ not in ['passthrough', 'linear_1d']: return op_handler[module_type](module, grad_input, grad_output) else: print('Warning: unrecognized nn.Module: {}'.format(module_type)) return grad_input	[ "def", "deeplift_grad", "(", "module", ",", "grad_input", ",", "grad_output", ")", ":", "# first, get the module type", "module_type", "=", "module", ".", "__class__", ".", "__name__", "# first, check the module is supported", "if", "module_type", "in", "op_handler", ":", "if", "op_handler", "[", "module_type", "]", ".", "__name__", "not", "in", "[", "'passthrough'", ",", "'linear_1d'", "]", ":", "return", "op_handler", "[", "module_type", "]", "(", "module", ",", "grad_input", ",", "grad_output", ")", "else", ":", "print", "(", "'Warning: unrecognized nn.Module: {}'", ".", "format", "(", "module_type", ")", ")", "return", "grad_input" ]	The backward hook which computes the deeplift gradient for an nn.Module	[ "The", "backward", "hook", "which", "computes", "the", "deeplift", "gradient", "for", "an", "nn", ".", "Module" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/deep/deep_pytorch.py#L194-L206	train	The backward hook which computes the deeplift gradient for an nn. Module	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(12158 - 12047) + chr(2427 - 2375) + '\x32', 3201 - 3193), ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + chr(0b100110 + 0o15) + chr(53) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9833 - 9722) + chr(50) + chr(529 - 481) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1176 - 1128) + '\x6f' + chr(1968 - 1917) + chr(2642 - 2588) + chr(244 - 189), 51271 - 51263), ehT0Px3KOsy9('\060' + chr(6241 - 6130) + '\x33' + '\064' + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11010 + 0o31) + chr(969 - 919) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111111 + 0o60) + chr(1478 - 1429) + chr(0b100001 + 0o25) + chr(0b101 + 0o53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\067' + '\066', 30578 - 30570), ehT0Px3KOsy9(chr(0b110000) + chr(3615 - 3504) + chr(718 - 667) + chr(0b110011) + chr(0b110001), 16081 - 16073), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100000 + 0o21) + chr(54) + chr(0b101001 + 0o13), 22029 - 22021), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1868 - 1816) + chr(0b110111), 34640 - 34632), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\060' + chr(768 - 715), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1528 - 1417) + chr(0b100100 + 0o17) + chr(0b110100) + chr(0b110010), 53833 - 53825), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(55) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b110101) + chr(0b101001 + 0o16), 52926 - 52918), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1000 + 0o51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1111 + 0o43) + '\x35' + chr(51), 33975 - 33967), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + '\x33' + chr(48) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8872 - 8761) + chr(789 - 738) + chr(48) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1807 - 1758) + chr(52) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b10100 + 0o36), 6067 - 6059), ehT0Px3KOsy9(chr(830 - 782) + chr(0b1010101 + 0o32) + chr(0b110011) + '\x36' + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b0 + 0o66) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(5652 - 5541) + '\x32' + chr(1993 - 1942) + '\063', 8132 - 8124), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b1010 + 0o54) + chr(859 - 805), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + '\066' + chr(2402 - 2350), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(48) + chr(48), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11011 + 0o27) + chr(0b110110) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1734 - 1684) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + '\x35' + chr(0b110010), 51805 - 51797), ehT0Px3KOsy9(chr(230 - 182) + '\x6f' + chr(875 - 825) + chr(0b110111) + chr(50), 0b1000), ehT0Px3KOsy9(chr(2238 - 2190) + chr(0b1101111) + chr(0b10101 + 0o34) + '\x31' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3510 - 3399) + chr(0b110001) + chr(1441 - 1391) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + chr(0b100101 + 0o14) + '\066' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(52) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\063' + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(137 - 26) + chr(0b110010) + '\x36' + '\064', 0o10), ehT0Px3KOsy9(chr(694 - 646) + '\157' + '\063' + chr(2194 - 2144) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(53), 23729 - 23721), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(0b110001) + chr(0b110100) + chr(94 - 43), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1701 - 1653) + chr(0b1101111) + '\x35' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c'), chr(0b101001 + 0o73) + chr(101) + '\143' + chr(0b1101111) + chr(100) + chr(101))(chr(0b1110101) + chr(10308 - 10192) + chr(0b1100110) + '\x2d' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def vPOxXQkaQjjK(RqocVGOryNPv, fsiWC8ObsO3f, kZxxJOfkvwOx): aaolsOc7zn07 = RqocVGOryNPv.__class__.Gbej4oZqKLA6 if aaolsOc7zn07 in b8An5lr9Ys0x: if xafqLlk3kkUe(b8An5lr9Ys0x[aaolsOc7zn07], xafqLlk3kkUe(SXOLrMavuUCe(b'e\x8d\xe5\x9d\xd0\xb8*\xcf\x928f\xf3'), '\144' + chr(101) + '\x63' + chr(0b110001 + 0o76) + chr(0b1100100) + chr(0b1000001 + 0o44))('\x75' + '\x74' + chr(102) + '\055' + '\070')) not in [xafqLlk3kkUe(SXOLrMavuUCe(b'R\x8e\xf3\x84\x90\xbf\x02\xd1\xac\x13O'), chr(100) + chr(4364 - 4263) + chr(0b1100011) + chr(111) + '\x64' + '\145')(chr(117) + chr(0b1110100) + '\146' + '\x2d' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'N\x86\xee\x92\x85\xa5/\x8f\xbd'), chr(0b1100001 + 0o3) + chr(2159 - 2058) + '\x63' + chr(10949 - 10838) + chr(0b1010100 + 0o20) + chr(10201 - 10100))(chr(117) + '\164' + '\x66' + '\x2d' + '\070')]: return b8An5lr9Ys0x[aaolsOc7zn07](RqocVGOryNPv, fsiWC8ObsO3f, kZxxJOfkvwOx) else: zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'u\x8e\xf2\x99\x8d\xb9\x17\x84\xf9\x01I\xb7\x87\x9f\x00f\xc5\xa8\xb8\x06v\xd3\x1d\xf5\xd8y/\xd1eF\xdfss\r['), '\144' + chr(101) + chr(0b1011000 + 0o13) + chr(0b100111 + 0o110) + chr(100) + '\x65')(chr(1363 - 1246) + chr(0b11000 + 0o134) + '\146' + chr(744 - 699) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b't\xdb\xf2\x98\xac\xb6#\x8d\x89\x04B\xaf'), chr(0b10111 + 0o115) + chr(101) + '\143' + '\157' + chr(0b1001011 + 0o31) + chr(101))('\x75' + chr(0b1000010 + 0o62) + chr(0b1100110) + chr(0b11000 + 0o25) + chr(0b110001 + 0o7)))(aaolsOc7zn07)) return fsiWC8ObsO3f
slundberg/shap	shap/explainers/deep/deep_pytorch.py	add_interim_values	def add_interim_values(module, input, output): """The forward hook used to save interim tensors, detached from the graph. Used to calculate the multipliers """ try: del module.x except AttributeError: pass try: del module.y except AttributeError: pass module_type = module.__class__.__name__ if module_type in op_handler: func_name = op_handler[module_type].__name__ # First, check for cases where we don't need to save the x and y tensors if func_name == 'passthrough': pass else: # check only the 0th input varies for i in range(len(input)): if i != 0 and type(output) is tuple: assert input[i] == output[i], "Only the 0th input may vary!" # if a new method is added, it must be added here too. This ensures tensors # are only saved if necessary if func_name in ['maxpool', 'nonlinear_1d']: # only save tensors if necessary if type(input) is tuple: setattr(module, 'x', torch.nn.Parameter(input[0].detach())) else: setattr(module, 'x', torch.nn.Parameter(input.detach())) if type(output) is tuple: setattr(module, 'y', torch.nn.Parameter(output[0].detach())) else: setattr(module, 'y', torch.nn.Parameter(output.detach())) if module_type in failure_case_modules: input[0].register_hook(deeplift_tensor_grad)	python	def add_interim_values(module, input, output): """The forward hook used to save interim tensors, detached from the graph. Used to calculate the multipliers """ try: del module.x except AttributeError: pass try: del module.y except AttributeError: pass module_type = module.__class__.__name__ if module_type in op_handler: func_name = op_handler[module_type].__name__ # First, check for cases where we don't need to save the x and y tensors if func_name == 'passthrough': pass else: # check only the 0th input varies for i in range(len(input)): if i != 0 and type(output) is tuple: assert input[i] == output[i], "Only the 0th input may vary!" # if a new method is added, it must be added here too. This ensures tensors # are only saved if necessary if func_name in ['maxpool', 'nonlinear_1d']: # only save tensors if necessary if type(input) is tuple: setattr(module, 'x', torch.nn.Parameter(input[0].detach())) else: setattr(module, 'x', torch.nn.Parameter(input.detach())) if type(output) is tuple: setattr(module, 'y', torch.nn.Parameter(output[0].detach())) else: setattr(module, 'y', torch.nn.Parameter(output.detach())) if module_type in failure_case_modules: input[0].register_hook(deeplift_tensor_grad)	[ "def", "add_interim_values", "(", "module", ",", "input", ",", "output", ")", ":", "try", ":", "del", "module", ".", "x", "except", "AttributeError", ":", "pass", "try", ":", "del", "module", ".", "y", "except", "AttributeError", ":", "pass", "module_type", "=", "module", ".", "__class__", ".", "__name__", "if", "module_type", "in", "op_handler", ":", "func_name", "=", "op_handler", "[", "module_type", "]", ".", "__name__", "# First, check for cases where we don't need to save the x and y tensors", "if", "func_name", "==", "'passthrough'", ":", "pass", "else", ":", "# check only the 0th input varies", "for", "i", "in", "range", "(", "len", "(", "input", ")", ")", ":", "if", "i", "!=", "0", "and", "type", "(", "output", ")", "is", "tuple", ":", "assert", "input", "[", "i", "]", "==", "output", "[", "i", "]", ",", "\"Only the 0th input may vary!\"", "# if a new method is added, it must be added here too. This ensures tensors", "# are only saved if necessary", "if", "func_name", "in", "[", "'maxpool'", ",", "'nonlinear_1d'", "]", ":", "# only save tensors if necessary", "if", "type", "(", "input", ")", "is", "tuple", ":", "setattr", "(", "module", ",", "'x'", ",", "torch", ".", "nn", ".", "Parameter", "(", "input", "[", "0", "]", ".", "detach", "(", ")", ")", ")", "else", ":", "setattr", "(", "module", ",", "'x'", ",", "torch", ".", "nn", ".", "Parameter", "(", "input", ".", "detach", "(", ")", ")", ")", "if", "type", "(", "output", ")", "is", "tuple", ":", "setattr", "(", "module", ",", "'y'", ",", "torch", ".", "nn", ".", "Parameter", "(", "output", "[", "0", "]", ".", "detach", "(", ")", ")", ")", "else", ":", "setattr", "(", "module", ",", "'y'", ",", "torch", ".", "nn", ".", "Parameter", "(", "output", ".", "detach", "(", ")", ")", ")", "if", "module_type", "in", "failure_case_modules", ":", "input", "[", "0", "]", ".", "register_hook", "(", "deeplift_tensor_grad", ")" ]	The forward hook used to save interim tensors, detached from the graph. Used to calculate the multipliers	[ "The", "forward", "hook", "used", "to", "save", "interim", "tensors", "detached", "from", "the", "graph", ".", "Used", "to", "calculate", "the", "multipliers" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/deep/deep_pytorch.py#L209-L245	train	Adds interim values to the given module.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2201 - 2153) + chr(761 - 650) + chr(0b110111) + chr(1530 - 1482), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b110110) + chr(0b1011 + 0o51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + '\061' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1110 + 0o44) + chr(0b110011) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(10054 - 9943) + chr(0b10101 + 0o42) + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(4969 - 4858) + '\061' + chr(633 - 584) + chr(0b1100 + 0o47), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\x33' + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(4139 - 4028) + chr(0b110010) + chr(0b110100) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\064' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001011 + 0o44) + chr(51) + '\066' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1462 - 1414) + chr(111) + '\x31' + '\x30' + chr(994 - 943), 53575 - 53567), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(0b101111 + 0o2) + '\063' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b110010) + chr(51) + chr(268 - 214), 8), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b110110) + chr(1897 - 1844), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(48), 0b1000), ehT0Px3KOsy9(chr(1645 - 1597) + '\x6f' + chr(0b110001) + chr(0b110100) + chr(771 - 719), 56337 - 56329), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(53) + chr(1854 - 1803), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\063' + chr(2571 - 2517), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10101 + 0o34) + '\x34' + '\062', 48310 - 48302), ehT0Px3KOsy9('\x30' + chr(9335 - 9224) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(51), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(1908 - 1857), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(49) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010 + 0o145) + '\x32' + chr(486 - 437) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11111 + 0o22) + chr(0b10001 + 0o41) + chr(2278 - 2229), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\067' + chr(48), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b100010 + 0o25) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1363 - 1315) + chr(111) + chr(50) + '\x31' + chr(0b100010 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100110 + 0o11) + '\063' + '\x32' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(563 - 515) + chr(5196 - 5085) + chr(2074 - 2025) + chr(0b110000) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\063' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\067' + chr(48), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(1634 - 1579) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1100101 + 0o12) + chr(0b110100) + '\061', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(0b1110 + 0o44) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(959 - 848) + chr(51) + chr(0b110100 + 0o2) + chr(0b110011 + 0o4), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\x31' + chr(0b1000 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1339 - 1290) + chr(48) + '\x34', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + chr(48), 2561 - 2553)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x16'), '\144' + '\145' + chr(0b1010101 + 0o16) + '\157' + '\144' + chr(101))(chr(117) + '\x74' + chr(765 - 663) + chr(0b101101) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def nbnvHziplR7o(RqocVGOryNPv, Y3jVKaC8LEDU, e1jVqMSBZ01Y): try: del xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'wK\xa3[\xaeM\t/\x9c\xf5\xb1\xa6'), chr(0b1100100) + '\145' + chr(3709 - 3610) + chr(111) + chr(2355 - 2255) + '\x65')('\165' + chr(0b1110100) + chr(0b1111 + 0o127) + '\x2d' + chr(0b101 + 0o63))) except sHOWSIAKtU58: pass try: del xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'k_\x9d_\xd1\x7fa\x04\xaf\xea\xa9\xbf'), '\144' + chr(0b1100101) + chr(99) + chr(111) + chr(386 - 286) + chr(2879 - 2778))('\165' + '\x74' + chr(102) + chr(1315 - 1270) + '\x38')) except sHOWSIAKtU58: pass aaolsOc7zn07 = RqocVGOryNPv.__class__.Gbej4oZqKLA6 if aaolsOc7zn07 in b8An5lr9Ys0x: iyGI9pmJHTiU = b8An5lr9Ys0x[aaolsOc7zn07].Gbej4oZqKLA6 if iyGI9pmJHTiU == xafqLlk3kkUe(SXOLrMavuUCe(b'HO\x87\x7f\xeacJ$\xab\xc2\x8b'), '\x64' + chr(2858 - 2757) + chr(99) + '\157' + chr(0b11100 + 0o110) + chr(0b1010001 + 0o24))(chr(0b10001 + 0o144) + chr(3306 - 3190) + '\146' + '\x2d' + chr(0b111000)): pass else: for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(Y3jVKaC8LEDU)): if WVxHKyX45z_L != ehT0Px3KOsy9(chr(2031 - 1983) + chr(111) + chr(1514 - 1466), 50535 - 50527) and PlSM16l2KDPD(e1jVqMSBZ01Y, KNyTy8rYcwji): assert Y3jVKaC8LEDU[WVxHKyX45z_L] == e1jVqMSBZ01Y[WVxHKyX45z_L], xafqLlk3kkUe(SXOLrMavuUCe(b'w@\x98u\xbe\x7fP.\xfe\x95\x97\x9fc3\xf0\xc5e\x10\xcb\xb3\x03z+mn\xfb(\x19'), chr(0b1100100) + chr(2600 - 2499) + chr(0b1100011) + '\157' + '\x64' + '\x65')(chr(117) + '\164' + '\x66' + '\x2d' + chr(0b110100 + 0o4)) if iyGI9pmJHTiU in [xafqLlk3kkUe(SXOLrMavuUCe(b'UO\x8c\|\xf1dT'), '\144' + chr(5920 - 5819) + chr(2465 - 2366) + chr(111) + chr(4129 - 4029) + chr(229 - 128))(chr(0b1000 + 0o155) + chr(0b1110100) + '\x66' + chr(0b11010 + 0o23) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'VA\x9a`\xf7e]*\xac\xfa\xd2\x93'), '\x64' + chr(2590 - 2489) + chr(0b10000 + 0o123) + '\157' + '\x64' + '\145')(chr(8358 - 8241) + '\x74' + chr(0b1100110) + '\x2d' + chr(0b11010 + 0o36))]: if PlSM16l2KDPD(Y3jVKaC8LEDU, KNyTy8rYcwji): t0rOMsrOC7R_(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'@'), chr(100) + chr(6622 - 6521) + chr(0b11101 + 0o106) + chr(8676 - 8565) + chr(0b1001 + 0o133) + chr(5636 - 5535))('\165' + chr(0b10001 + 0o143) + '\x66' + chr(45) + chr(0b101101 + 0o13)), xafqLlk3kkUe(cEkFpYktkSeK.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'hO\x86m\xf3nL.\xac'), chr(0b1100100) + chr(0b1100000 + 0o5) + chr(99) + chr(0b11 + 0o154) + '\x64' + chr(101))(chr(0b11 + 0o162) + chr(0b1011011 + 0o31) + '\x66' + '\x2d' + chr(0b110001 + 0o7)))(xafqLlk3kkUe(Y3jVKaC8LEDU[ehT0Px3KOsy9(chr(1523 - 1475) + chr(111) + '\x30', 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\\K\x80m\xfdc'), chr(0b110011 + 0o61) + chr(0b1100101) + '\x63' + chr(0b110110 + 0o71) + chr(4073 - 3973) + '\145')(chr(117) + '\x74' + chr(102) + '\x2d' + '\x38'))())) else: t0rOMsrOC7R_(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'@'), chr(0b1001001 + 0o33) + '\x65' + chr(0b110010 + 0o61) + '\x6f' + '\x64' + chr(101))('\x75' + chr(0b1010111 + 0o35) + chr(102) + chr(0b101101) + chr(56)), xafqLlk3kkUe(cEkFpYktkSeK.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'hO\x86m\xf3nL.\xac'), chr(1877 - 1777) + chr(7349 - 7248) + chr(0b1100011) + chr(758 - 647) + '\x64' + chr(0b1011110 + 0o7))(chr(10652 - 10535) + chr(0b111100 + 0o70) + chr(0b1100110) + '\055' + '\070'))(xafqLlk3kkUe(Y3jVKaC8LEDU, xafqLlk3kkUe(SXOLrMavuUCe(b'\\K\x80m\xfdc'), '\x64' + '\145' + chr(3242 - 3143) + chr(0b1101111) + chr(5714 - 5614) + chr(0b1100101))('\165' + '\164' + chr(4088 - 3986) + '\055' + chr(0b110010 + 0o6)))())) if PlSM16l2KDPD(e1jVqMSBZ01Y, KNyTy8rYcwji): t0rOMsrOC7R_(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'A'), chr(100) + chr(0b1100101) + chr(0b11100 + 0o107) + chr(2976 - 2865) + chr(100) + chr(0b1100101))(chr(117) + '\x74' + chr(0b100010 + 0o104) + chr(0b101101) + '\x38'), xafqLlk3kkUe(cEkFpYktkSeK.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'hO\x86m\xf3nL.\xac'), chr(0b1100100) + '\145' + '\x63' + chr(1331 - 1220) + chr(0b1010011 + 0o21) + chr(0b1100101))(chr(7880 - 7763) + chr(0b1110100) + chr(4544 - 4442) + chr(45) + '\x38'))(xafqLlk3kkUe(e1jVqMSBZ01Y[ehT0Px3KOsy9('\x30' + '\x6f' + chr(589 - 541), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\\K\x80m\xfdc'), chr(0b1100100) + chr(3075 - 2974) + '\143' + '\x6f' + '\x64' + chr(0b111 + 0o136))('\165' + '\x74' + '\x66' + chr(0b101101) + '\x38'))())) else: t0rOMsrOC7R_(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'A'), '\144' + chr(0b1100101) + chr(0b110 + 0o135) + '\x6f' + chr(3910 - 3810) + '\x65')(chr(11536 - 11419) + chr(0b1110100) + '\x66' + '\055' + chr(56)), xafqLlk3kkUe(cEkFpYktkSeK.nn, xafqLlk3kkUe(SXOLrMavuUCe(b'hO\x86m\xf3nL.\xac'), chr(100) + chr(0b111111 + 0o46) + chr(8840 - 8741) + chr(11096 - 10985) + '\x64' + chr(0b1001010 + 0o33))(chr(117) + chr(0b1110100) + chr(0b1111 + 0o127) + '\055' + chr(56)))(xafqLlk3kkUe(e1jVqMSBZ01Y, xafqLlk3kkUe(SXOLrMavuUCe(b'\\K\x80m\xfdc'), chr(0b110001 + 0o63) + chr(0b1100101) + chr(99) + chr(111) + '\x64' + chr(0b1100101))(chr(0b100111 + 0o116) + chr(116) + chr(102) + chr(940 - 895) + '\070'))())) if aaolsOc7zn07 in pQmYQeVLw0rr: xafqLlk3kkUe(Y3jVKaC8LEDU[ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x30', 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'JK\x93e\xed\x7f]9\x81\xcd\x8c\x98('), chr(0b1100100) + chr(0b1010010 + 0o23) + '\143' + '\x6f' + chr(0b1100100) + chr(101))(chr(10924 - 10807) + chr(9590 - 9474) + '\146' + chr(1659 - 1614) + chr(1349 - 1293)))(NLRzbwwPiayE)
slundberg/shap	shap/explainers/deep/deep_pytorch.py	get_target_input	def get_target_input(module, input, output): """A forward hook which saves the tensor - attached to its graph. Used if we want to explain the interim outputs of a model """ try: del module.target_input except AttributeError: pass setattr(module, 'target_input', input)	python	def get_target_input(module, input, output): """A forward hook which saves the tensor - attached to its graph. Used if we want to explain the interim outputs of a model """ try: del module.target_input except AttributeError: pass setattr(module, 'target_input', input)	[ "def", "get_target_input", "(", "module", ",", "input", ",", "output", ")", ":", "try", ":", "del", "module", ".", "target_input", "except", "AttributeError", ":", "pass", "setattr", "(", "module", ",", "'target_input'", ",", "input", ")" ]	A forward hook which saves the tensor - attached to its graph. Used if we want to explain the interim outputs of a model	[ "A", "forward", "hook", "which", "saves", "the", "tensor", "-", "attached", "to", "its", "graph", ".", "Used", "if", "we", "want", "to", "explain", "the", "interim", "outputs", "of", "a", "model" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/deep/deep_pytorch.py#L248-L256	train	A forward hook which saves the input - attached to the model Used to explain the interim outputs of a model	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(4842 - 4731) + chr(52) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1557 - 1506) + chr(0b110001) + chr(0b11111 + 0o25), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b11101 + 0o27), 21438 - 21430), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1011 + 0o47) + chr(0b100011 + 0o23) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010001 + 0o36) + '\x33' + '\x32' + chr(2490 - 2438), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + '\x31' + '\x37' + chr(201 - 147), 0b1000), ehT0Px3KOsy9(chr(635 - 587) + chr(0b1101111) + chr(0b101011 + 0o11) + chr(54), 8), ehT0Px3KOsy9(chr(527 - 479) + '\157' + chr(49) + chr(0b101100 + 0o5) + chr(0b1101 + 0o51), 35900 - 35892), ehT0Px3KOsy9(chr(2225 - 2177) + chr(111) + chr(569 - 520) + '\064' + chr(1584 - 1529), 0o10), ehT0Px3KOsy9('\x30' + chr(4924 - 4813) + '\062' + '\x30' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1011101 + 0o22) + chr(54) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(1519 - 1471) + '\x30', 3280 - 3272), ehT0Px3KOsy9(chr(469 - 421) + '\x6f' + '\x31' + '\061' + '\x34', 65264 - 65256), ehT0Px3KOsy9('\x30' + chr(0b110101 + 0o72) + chr(386 - 336) + chr(0b11001 + 0o27) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\063', 0b1000), ehT0Px3KOsy9(chr(1643 - 1595) + '\157' + '\x33' + '\060' + chr(0b110011), 19719 - 19711), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\065' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(743 - 695) + '\x6f' + chr(0b110010) + chr(48) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10185 - 10074) + chr(1145 - 1096) + chr(0b100 + 0o57) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(304 - 254) + '\061' + chr(2039 - 1987), 18494 - 18486), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1426 - 1375) + '\067' + chr(0b110110), 44463 - 44455), ehT0Px3KOsy9('\060' + chr(0b100000 + 0o117) + chr(0b110100) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(0b11011 + 0o124) + chr(49) + chr(49) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(2209 - 2160) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\x37' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + '\x33' + chr(0b110010) + chr(51), 60677 - 60669), ehT0Px3KOsy9(chr(1612 - 1564) + chr(0b1101111) + '\063' + chr(1658 - 1606), 8), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(55), 9576 - 9568), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + '\x33' + chr(0b110100) + chr(211 - 157), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100110 + 0o14) + '\x36' + '\060', 56504 - 56496), ehT0Px3KOsy9('\060' + '\157' + chr(0b100100 + 0o16) + chr(571 - 521) + chr(2176 - 2121), 58977 - 58969), ehT0Px3KOsy9(chr(1958 - 1910) + chr(0b101101 + 0o102) + '\065' + '\062', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001111 + 0o40) + chr(50) + chr(1550 - 1501) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010011 + 0o34) + '\062' + '\x35' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(51) + chr(2267 - 2213), 25470 - 25462), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(48) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + '\061' + chr(1640 - 1586) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9602 - 9491) + '\064' + chr(139 - 86), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(1583 - 1472) + '\x32' + chr(51) + '\060', 36577 - 36569), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + '\x31' + chr(53) + '\x30', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(2014 - 1903) + chr(0b11010 + 0o33) + chr(2080 - 2032), 26786 - 26778)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x08'), '\144' + chr(101) + chr(0b1100011) + '\x6f' + chr(6988 - 6888) + chr(3977 - 3876))(chr(117) + chr(0b1101010 + 0o12) + '\146' + chr(0b100010 + 0o13) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def HfaDHt0lUaGd(RqocVGOryNPv, Y3jVKaC8LEDU, e1jVqMSBZ01Y): try: del xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b"R\xadn\xd1\xb1\ny'\t\xf2C4"), chr(0b1100100) + '\x65' + chr(0b1100001 + 0o2) + '\157' + '\x64' + '\145')(chr(10639 - 10522) + chr(1187 - 1071) + chr(0b1100110) + '\x2d' + '\x38')) except sHOWSIAKtU58: pass t0rOMsrOC7R_(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b"R\xadn\xd1\xb1\ny'\t\xf2C4"), chr(5381 - 5281) + chr(0b1100101) + chr(1672 - 1573) + chr(0b1000 + 0o147) + chr(8619 - 8519) + chr(101))(chr(3447 - 3330) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(56)), Y3jVKaC8LEDU)
slundberg/shap	shap/explainers/deep/deep_pytorch.py	PyTorchDeepExplainer.add_handles	def add_handles(self, model, forward_handle, backward_handle): """ Add handles to all non-container layers in the model. Recursively for non-container layers """ handles_list = [] for child in model.children(): if 'nn.modules.container' in str(type(child)): handles_list.extend(self.add_handles(child, forward_handle, backward_handle)) else: handles_list.append(child.register_forward_hook(forward_handle)) handles_list.append(child.register_backward_hook(backward_handle)) return handles_list	python	def add_handles(self, model, forward_handle, backward_handle): """ Add handles to all non-container layers in the model. Recursively for non-container layers """ handles_list = [] for child in model.children(): if 'nn.modules.container' in str(type(child)): handles_list.extend(self.add_handles(child, forward_handle, backward_handle)) else: handles_list.append(child.register_forward_hook(forward_handle)) handles_list.append(child.register_backward_hook(backward_handle)) return handles_list	[ "def", "add_handles", "(", "self", ",", "model", ",", "forward_handle", ",", "backward_handle", ")", ":", "handles_list", "=", "[", "]", "for", "child", "in", "model", ".", "children", "(", ")", ":", "if", "'nn.modules.container'", "in", "str", "(", "type", "(", "child", ")", ")", ":", "handles_list", ".", "extend", "(", "self", ".", "add_handles", "(", "child", ",", "forward_handle", ",", "backward_handle", ")", ")", "else", ":", "handles_list", ".", "append", "(", "child", ".", "register_forward_hook", "(", "forward_handle", ")", ")", "handles_list", ".", "append", "(", "child", ".", "register_backward_hook", "(", "backward_handle", ")", ")", "return", "handles_list" ]	Add handles to all non-container layers in the model. Recursively for non-container layers	[ "Add", "handles", "to", "all", "non", "-", "container", "layers", "in", "the", "model", ".", "Recursively", "for", "non", "-", "container", "layers" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/deep/deep_pytorch.py#L64-L76	train	Add handles to all non - container layers in the model.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(51) + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(54) + chr(0b11001 + 0o31), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3473 - 3362) + chr(0b110111) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101 + 0o55) + chr(2227 - 2178), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\060' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b110001) + chr(0b11000 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3983 - 3872) + '\x32' + chr(51) + '\060', 33368 - 33360), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1518 - 1468) + chr(0b110 + 0o57) + chr(1935 - 1886), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b110010) + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\x34' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10001 + 0o136) + chr(51) + chr(0b110000) + chr(0b110000), 51329 - 51321), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101010 + 0o11) + chr(690 - 638) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(6191 - 6080) + chr(0b100100 + 0o23) + chr(51), 0o10), ehT0Px3KOsy9(chr(2147 - 2099) + '\157' + '\x32' + '\067' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(536 - 485) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(2046 - 1998) + '\x6f' + chr(51) + chr(0b110100) + '\x30', 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(1950 - 1900) + '\067' + chr(0b11010 + 0o35), 48731 - 48723), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2499 - 2449) + chr(53) + chr(2320 - 2270), 37742 - 37734), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b11111 + 0o24) + chr(979 - 931), 0o10), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(0b100011 + 0o20) + '\064' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\064' + '\067', 47061 - 47053), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1048 - 1000) + '\x6f' + '\061' + chr(1301 - 1253) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b100011 + 0o20) + chr(1015 - 966), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\065' + chr(50), 2075 - 2067), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\x36' + chr(0b110001), 20075 - 20067), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(52) + chr(1039 - 988), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110 + 0o53) + chr(0b110111) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1213 - 1162) + '\064' + '\062', 53780 - 53772), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\066' + chr(1564 - 1511), 2877 - 2869), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(2509 - 2455), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\061' + chr(0b110001), 62509 - 62501), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110101) + chr(0b110010), 8), ehT0Px3KOsy9('\x30' + chr(3734 - 3623) + chr(794 - 743) + chr(51) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1448 - 1400) + '\x6f' + chr(0b101110 + 0o4) + chr(1999 - 1950) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1448 - 1400) + chr(0b1101111) + chr(0b110001) + chr(0b100 + 0o54) + chr(0b101001 + 0o10), 57711 - 57703), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\x35' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1000111 + 0o50) + '\063' + chr(0b110000) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\x37' + chr(48), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110101) + chr(0b11100 + 0o24), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7'), '\x64' + chr(0b1100101) + chr(99) + '\157' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1110100) + '\x66' + chr(0b100000 + 0o15) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def XzJovNA1M4t_(oVre8I6UXc3b, FK0vqzZ5gPN6, yXPdPeVo9Yme, i17W1_LKuEcj): Z7pPlYACW798 = [] for X_w6uktosk4i in xafqLlk3kkUe(FK0vqzZ5gPN6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xffn_]y"\xb9\xf9\xca\x94\x14\xb3'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + chr(0b1000111 + 0o35) + chr(101))('\165' + chr(0b1110100) + chr(102) + chr(1714 - 1669) + chr(56)))(): if xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7b\x1cS~#\xbd\xf4\xcc\xa6O\xa3\x8fU\xc8\xff\x89\xd1\xcf\xaa'), chr(0b1010101 + 0o17) + chr(101) + chr(0b1011 + 0o130) + chr(6376 - 6265) + chr(6883 - 6783) + '\145')(chr(0b1110101) + chr(11150 - 11034) + '\x66' + chr(0b101101) + chr(0b100000 + 0o30)) in M8_cKLkHVB2V(wmQmyeWBmUpv(X_w6uktosk4i)): xafqLlk3kkUe(Z7pPlYACW798, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfctF[\x7f#'), chr(0b1100100) + chr(2470 - 2369) + chr(99) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(7093 - 6976) + chr(0b11011 + 0o131) + chr(8841 - 8739) + chr(984 - 939) + '\070'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8hVay&\xa6\xfc\xc5\xb0\x12'), chr(0b1100100) + chr(0b111111 + 0o46) + chr(0b1100011) + chr(0b1101111) + chr(0b1101 + 0o127) + chr(101))(chr(117) + chr(0b1000000 + 0o64) + chr(5805 - 5703) + chr(0b101101) + '\070'))(X_w6uktosk4i, yXPdPeVo9Yme, i17W1_LKuEcj)) else: xafqLlk3kkUe(Z7pPlYACW798, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\|B[\x7f#'), '\x64' + chr(101) + '\143' + '\157' + chr(100) + '\x65')(chr(5028 - 4911) + '\164' + chr(102) + '\055' + chr(0b111000)))(xafqLlk3kkUe(X_w6uktosk4i, xafqLlk3kkUe(SXOLrMavuUCe(b'\xebiUWb3\xad\xea\xf6\xb3\x0e\xb2\x97Z\xce\xfa\xbf\xd7\xc5\xb7\x8e'), chr(9493 - 9393) + chr(3513 - 3412) + chr(5344 - 5245) + chr(111) + chr(654 - 554) + chr(101))(chr(0b1110101) + '\x74' + '\x66' + '\x2d' + chr(2578 - 2522)))(yXPdPeVo9Yme)) xafqLlk3kkUe(Z7pPlYACW798, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\|B[\x7f#'), chr(0b111111 + 0o45) + chr(0b1100101) + chr(0b11110 + 0o105) + chr(0b1101111) + '\x64' + chr(0b101111 + 0o66))(chr(0b1110101) + chr(5645 - 5529) + chr(102) + chr(526 - 481) + chr(0b1 + 0o67)))(xafqLlk3kkUe(X_w6uktosk4i, xafqLlk3kkUe(SXOLrMavuUCe(b'\xebiUWb3\xad\xea\xf6\xb7\x00\xa3\x8bL\xdd\xec\x84\xe0\xc2\xb7\x8a\xcc'), '\144' + '\145' + '\143' + '\157' + '\x64' + '\x65')(chr(4088 - 3971) + chr(0b101011 + 0o111) + '\146' + chr(1875 - 1830) + chr(0b1 + 0o67)))(i17W1_LKuEcj)) return Z7pPlYACW798
slundberg/shap	shap/explainers/tree.py	get_xgboost_json	def get_xgboost_json(model): """ This gets a JSON dump of an XGBoost model while ensuring the features names are their indexes. """ fnames = model.feature_names model.feature_names = None json_trees = model.get_dump(with_stats=True, dump_format="json") model.feature_names = fnames # this fixes a bug where XGBoost can return invalid JSON json_trees = [t.replace(": inf,", ": 1000000000000.0,") for t in json_trees] json_trees = [t.replace(": -inf,", ": -1000000000000.0,") for t in json_trees] return json_trees	python	def get_xgboost_json(model): """ This gets a JSON dump of an XGBoost model while ensuring the features names are their indexes. """ fnames = model.feature_names model.feature_names = None json_trees = model.get_dump(with_stats=True, dump_format="json") model.feature_names = fnames # this fixes a bug where XGBoost can return invalid JSON json_trees = [t.replace(": inf,", ": 1000000000000.0,") for t in json_trees] json_trees = [t.replace(": -inf,", ": -1000000000000.0,") for t in json_trees] return json_trees	[ "def", "get_xgboost_json", "(", "model", ")", ":", "fnames", "=", "model", ".", "feature_names", "model", ".", "feature_names", "=", "None", "json_trees", "=", "model", ".", "get_dump", "(", "with_stats", "=", "True", ",", "dump_format", "=", "\"json\"", ")", "model", ".", "feature_names", "=", "fnames", "# this fixes a bug where XGBoost can return invalid JSON", "json_trees", "=", "[", "t", ".", "replace", "(", "\": inf,\"", ",", "\": 1000000000000.0,\"", ")", "for", "t", "in", "json_trees", "]", "json_trees", "=", "[", "t", ".", "replace", "(", "\": -inf,\"", ",", "\": -1000000000000.0,\"", ")", "for", "t", "in", "json_trees", "]", "return", "json_trees" ]	This gets a JSON dump of an XGBoost model while ensuring the features names are their indexes.	[ "This", "gets", "a", "JSON", "dump", "of", "an", "XGBoost", "model", "while", "ensuring", "the", "features", "names", "are", "their", "indexes", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/tree.py#L907-L919	train	This function gets a JSON dump of an XGBoost model while ensuring the features names are their indexes.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1100100 + 0o13) + chr(0b110010) + chr(272 - 221) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(53) + chr(0b101100 + 0o4), 55515 - 55507), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(52) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(50) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(2229 - 2181) + chr(0b1101111) + '\x31' + chr(1645 - 1593) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101111 + 0o3) + chr(52) + '\x36', 11743 - 11735), ehT0Px3KOsy9(chr(580 - 532) + '\x6f' + chr(50) + '\x35' + chr(54), 42171 - 42163), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1344 - 1294) + '\x31' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1071 - 1023) + '\x6f' + chr(0b101110 + 0o3) + chr(0b110111) + chr(0b110000 + 0o1), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b11111 + 0o24) + chr(51) + chr(0b11 + 0o56), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x34' + chr(48), 64744 - 64736), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + '\061' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + chr(50) + '\x33' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\x36' + chr(780 - 729), 63407 - 63399), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + chr(82 - 31) + chr(0b110001) + chr(1874 - 1820), 0b1000), ehT0Px3KOsy9(chr(2077 - 2029) + chr(111) + chr(50) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1010110 + 0o31) + chr(0b110001) + '\067' + chr(0b1011 + 0o54), 10473 - 10465), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + '\062' + '\x35' + chr(2085 - 2034), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(51) + chr(0b101000 + 0o11), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x37' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(0b110011) + '\x37' + chr(52), 46683 - 46675), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11110 + 0o25) + '\x31' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(128 - 80) + '\062', 4359 - 4351), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(53) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\x37' + '\067', 45845 - 45837), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + '\061' + '\067' + chr(0b10111 + 0o37), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b10010 + 0o135) + '\x32' + chr(1896 - 1842), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(974 - 925) + '\067' + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(11294 - 11183) + '\x31' + chr(1631 - 1580) + '\063', 16545 - 16537), ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + '\x31' + chr(0b110001) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(1336 - 1284) + chr(0b110000), 8), ehT0Px3KOsy9('\060' + chr(8703 - 8592) + chr(49) + chr(1838 - 1790) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + chr(0b110011) + '\064' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(162 - 114) + chr(5255 - 5144) + chr(0b10000 + 0o42) + chr(0b100100 + 0o15) + '\062', 55598 - 55590), ehT0Px3KOsy9(chr(529 - 481) + chr(0b1100000 + 0o17) + chr(51) + chr(0b110011) + chr(0b10 + 0o65), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\x36' + chr(1327 - 1273), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b1010 + 0o51) + chr(48) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(0b11001 + 0o34) + chr(0b110011 + 0o4), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\067' + '\x33', 37472 - 37464), ehT0Px3KOsy9(chr(0b110000) + chr(9480 - 9369) + '\x32' + '\x32' + chr(53), 54144 - 54136)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(653 - 600) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3'), chr(0b1000100 + 0o40) + '\x65' + chr(0b101011 + 0o70) + '\157' + '\x64' + '\x65')(chr(0b10100 + 0o141) + chr(0b1110100) + '\x66' + '\x2d' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def ezxg2fy9oiZ_(FK0vqzZ5gPN6): N6gE1htigVVA = FK0vqzZ5gPN6.pfS5O3iUpFhz FK0vqzZ5gPN6.pfS5O3iUpFhz = None cHrb1IX2aPV1 = FK0vqzZ5gPN6.get_dump(with_stats=ehT0Px3KOsy9('\060' + '\x6f' + chr(1944 - 1895), 3283 - 3275), dump_format=xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\x1b\x8c9'), chr(0b10000 + 0o124) + '\x65' + '\143' + '\x6f' + chr(0b1100100) + chr(6504 - 6403))('\x75' + chr(116) + '\x66' + chr(45) + chr(1753 - 1697))) FK0vqzZ5gPN6.pfS5O3iUpFhz = N6gE1htigVVA cHrb1IX2aPV1 = [YeT3l7JgTbWR.replace(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7H\x8a9\x04\x8a'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b111001 + 0o66) + '\x64' + chr(101))('\165' + chr(116) + chr(102) + chr(0b1011 + 0o42) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7H\xd2gR\x96\x9e\xb8I\xe9\x108\xac\x83\xfe9O\x87'), '\144' + chr(3660 - 3559) + chr(99) + chr(0b1101111) + chr(8010 - 7910) + chr(101))(chr(4132 - 4015) + chr(0b110011 + 0o101) + chr(0b100101 + 0o101) + '\055' + chr(56))) for YeT3l7JgTbWR in cHrb1IX2aPV1] cHrb1IX2aPV1 = [YeT3l7JgTbWR.replace(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7H\xce>\x0c\xc0\x82'), chr(7042 - 6942) + chr(0b1100101) + chr(0b101111 + 0o64) + chr(111) + chr(100) + chr(101))(chr(2947 - 2830) + chr(8377 - 8261) + '\146' + chr(45) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b"\xa7H\xcefR\x96\x9e\xb8I\xe9\x108\xac\x83\xfe'Q\x9bu"), '\x64' + '\145' + chr(99) + chr(0b1000111 + 0o50) + chr(0b110111 + 0o55) + chr(101))('\165' + '\x74' + chr(0b1100101 + 0o1) + chr(45) + chr(718 - 662))) for YeT3l7JgTbWR in cHrb1IX2aPV1] return cHrb1IX2aPV1
slundberg/shap	shap/explainers/tree.py	TreeExplainer.__dynamic_expected_value	def __dynamic_expected_value(self, y): """ This computes the expected value conditioned on the given label value. """ return self.model.predict(self.data, np.ones(self.data.shape[0]) * y, output=self.model_output).mean(0)	python	def __dynamic_expected_value(self, y): """ This computes the expected value conditioned on the given label value. """ return self.model.predict(self.data, np.ones(self.data.shape[0]) * y, output=self.model_output).mean(0)	[ "def", "__dynamic_expected_value", "(", "self", ",", "y", ")", ":", "return", "self", ".", "model", ".", "predict", "(", "self", ".", "data", ",", "np", ".", "ones", "(", "self", ".", "data", ".", "shape", "[", "0", "]", ")", "*", "y", ",", "output", "=", "self", ".", "model_output", ")", ".", "mean", "(", "0", ")" ]	This computes the expected value conditioned on the given label value.	[ "This", "computes", "the", "expected", "value", "conditioned", "on", "the", "given", "label", "value", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/tree.py#L125-L129	train	This computes the expected value conditioned on the given label value.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\064', 0b1000), ehT0Px3KOsy9(chr(921 - 873) + '\157' + chr(50) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b110 + 0o61) + chr(2272 - 2222), 23339 - 23331), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b0 + 0o62) + '\x31' + chr(0b10011 + 0o44), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + '\x32' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(308 - 258) + chr(0b110000) + '\064', 0o10), ehT0Px3KOsy9(chr(387 - 339) + chr(10904 - 10793) + chr(0b11001 + 0o30) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b11100 + 0o31) + chr(0b10111 + 0o34), 0o10), ehT0Px3KOsy9(chr(1175 - 1127) + '\157' + chr(0b110010) + '\065' + chr(48), 8116 - 8108), ehT0Px3KOsy9(chr(1640 - 1592) + chr(0b1100100 + 0o13) + '\061' + '\061' + chr(1712 - 1662), 1778 - 1770), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\062' + chr(0b110010), 57648 - 57640), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(50) + chr(0b0 + 0o61), 28146 - 28138), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b110101) + chr(784 - 729), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100111 + 0o16) + chr(0b110000), 53195 - 53187), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10101 + 0o36), 14435 - 14427), ehT0Px3KOsy9(chr(1807 - 1759) + chr(111) + chr(0b110010) + chr(0b110000) + chr(1922 - 1869), 0o10), ehT0Px3KOsy9(chr(1659 - 1611) + chr(3891 - 3780) + chr(0b110010) + '\x32' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101100 + 0o6) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(1807 - 1758) + chr(1806 - 1756) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(9397 - 9286) + '\x32' + chr(0b110001) + chr(50), 62151 - 62143), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + '\x31' + chr(1465 - 1417), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101011 + 0o6) + chr(0b110101) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(1195 - 1146) + '\062' + chr(492 - 443), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1759 - 1706) + chr(1169 - 1114), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101101 + 0o5) + chr(2283 - 2230), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + '\x32' + chr(0b110111) + chr(1569 - 1521), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100011 + 0o114) + chr(0b101110 + 0o5) + '\x31' + chr(0b1011 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + '\061' + chr(0b11001 + 0o30) + chr(50), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1110 + 0o47) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(11134 - 11023) + '\063' + '\061' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2489 - 2439) + '\066' + chr(1201 - 1152), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\065' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(11380 - 11269) + '\062' + chr(0b11011 + 0o26) + chr(0b1100 + 0o45), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(49) + '\x36', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b1001 + 0o51) + '\067', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(1430 - 1380) + chr(0b110011), 8085 - 8077), ehT0Px3KOsy9('\060' + chr(10494 - 10383) + chr(49) + chr(0b100100 + 0o23) + '\062', 0b1000), ehT0Px3KOsy9(chr(1738 - 1690) + chr(9661 - 9550) + chr(0b1100 + 0o52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b0 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + '\x33' + chr(0b110001 + 0o5) + chr(0b110000), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + chr(53) + chr(0b1010 + 0o46), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b':'), chr(100) + '\145' + '\x63' + chr(0b1101111) + '\144' + '\145')(chr(0b1101000 + 0o15) + chr(0b1011010 + 0o32) + chr(0b1100110) + chr(0b101101) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def FPa9tUuy9EN8(oVre8I6UXc3b, SqiSOtYOqOJH): return xafqLlk3kkUe(oVre8I6UXc3b.model.predict(oVre8I6UXc3b.data, WqUC3KWvYVup.ones(oVre8I6UXc3b.data.shape[ehT0Px3KOsy9(chr(0b110000) + chr(10323 - 10212) + '\060', ord("\x08"))]) * SqiSOtYOqOJH, output=oVre8I6UXc3b.model_output), xafqLlk3kkUe(SXOLrMavuUCe(b'u[\x92\xc6d\xc7Q\xbd\xc9=\xfe&'), chr(0b1100100) + chr(0b1100101) + chr(6599 - 6500) + '\x6f' + '\x64' + chr(101))(chr(117) + '\x74' + '\146' + '\055' + chr(0b111000)))(ehT0Px3KOsy9('\060' + chr(8817 - 8706) + chr(0b11010 + 0o26), 8))
slundberg/shap	shap/explainers/tree.py	TreeExplainer.shap_values	def shap_values(self, X, y=None, tree_limit=None, approximate=False): """ Estimate the SHAP values for a set of samples. Parameters ---------- X : numpy.array, pandas.DataFrame or catboost.Pool (for catboost) A matrix of samples (# samples x # features) on which to explain the model's output. y : numpy.array An array of label values for each sample. Used when explaining loss functions. tree_limit : None (default) or int Limit the number of trees used by the model. By default None means no use the limit of the original model, and -1 means no limit. approximate : bool Run fast, but only roughly approximate the Tree SHAP values. This runs a method previously proposed by Saabas which only considers a single feature ordering. Take care since this does not have the consistency guarantees of Shapley values and places too much weight on lower splits in the tree. Returns ------- For models with a single output this returns a matrix of SHAP values (# samples x # features). Each row sums to the difference between the model output for that sample and the expected value of the model output (which is stored in the expected_value attribute of the explainer when it is constant). For models with vector outputs this returns a list of such matrices, one for each output. """ # see if we have a default tree_limit in place. if tree_limit is None: tree_limit = -1 if self.model.tree_limit is None else self.model.tree_limit # shortcut using the C++ version of Tree SHAP in XGBoost, LightGBM, and CatBoost if self.feature_dependence == "tree_path_dependent" and self.model.model_type != "internal" and self.data is None: phi = None if self.model.model_type == "xgboost": assert_import("xgboost") if not str(type(X)).endswith("xgboost.core.DMatrix'>"): X = xgboost.DMatrix(X) if tree_limit == -1: tree_limit = 0 phi = self.model.original_model.predict( X, ntree_limit=tree_limit, pred_contribs=True, approx_contribs=approximate, validate_features=False ) elif self.model.model_type == "lightgbm": assert not approximate, "approximate=True is not supported for LightGBM models!" phi = self.model.original_model.predict(X, num_iteration=tree_limit, pred_contrib=True) if phi.shape[1] != X.shape[1] + 1: phi = phi.reshape(X.shape[0], phi.shape[1]//(X.shape[1]+1), X.shape[1]+1) elif self.model.model_type == "catboost": # thanks to the CatBoost team for implementing this... assert not approximate, "approximate=True is not supported for CatBoost models!" assert tree_limit == -1, "tree_limit is not yet supported for CatBoost models!" if type(X) != catboost.Pool: X = catboost.Pool(X) phi = self.model.original_model.get_feature_importance(data=X, fstr_type='ShapValues') # note we pull off the last column and keep it as our expected_value if phi is not None: if len(phi.shape) == 3: self.expected_value = [phi[0, i, -1] for i in range(phi.shape[1])] return [phi[:, i, :-1] for i in range(phi.shape[1])] else: self.expected_value = phi[0, -1] return phi[:, :-1] # convert dataframes orig_X = X if str(type(X)).endswith("pandas.core.series.Series'>"): X = X.values elif str(type(X)).endswith("pandas.core.frame.DataFrame'>"): X = X.values flat_output = False if len(X.shape) == 1: flat_output = True X = X.reshape(1, X.shape[0]) if X.dtype != self.model.dtype: X = X.astype(self.model.dtype) X_missing = np.isnan(X, dtype=np.bool) assert str(type(X)).endswith("'numpy.ndarray'>"), "Unknown instance type: " + str(type(X)) assert len(X.shape) == 2, "Passed input data matrix X must have 1 or 2 dimensions!" if tree_limit < 0 or tree_limit > self.model.values.shape[0]: tree_limit = self.model.values.shape[0] if self.model_output == "logloss": assert y is not None, "Both samples and labels must be provided when explaining the loss (i.e. `explainer.shap_values(X, y)`)!" assert X.shape[0] == len(y), "The number of labels (%d) does not match the number of samples to explain (%d)!" % (len(y), X.shape[0]) transform = self.model.get_transform(self.model_output) if self.feature_dependence == "tree_path_dependent": assert self.model.fully_defined_weighting, "The background dataset you provided does not cover all the leaves in the model, " \ "so TreeExplainer cannot run with the feature_dependence=\"tree_path_dependent\" option! " \ "Try providing a larger background dataset, or using feature_dependence=\"independent\"." # run the core algorithm using the C extension assert_import("cext") phi = np.zeros((X.shape[0], X.shape[1]+1, self.model.n_outputs)) if not approximate: _cext.dense_tree_shap( self.model.children_left, self.model.children_right, self.model.children_default, self.model.features, self.model.thresholds, self.model.values, self.model.node_sample_weight, self.model.max_depth, X, X_missing, y, self.data, self.data_missing, tree_limit, self.model.base_offset, phi, feature_dependence_codes[self.feature_dependence], output_transform_codes[transform], False ) else: _cext.dense_tree_saabas( self.model.children_left, self.model.children_right, self.model.children_default, self.model.features, self.model.thresholds, self.model.values, self.model.max_depth, tree_limit, self.model.base_offset, output_transform_codes[transform], X, X_missing, y, phi ) # note we pull off the last column and keep it as our expected_value if self.model.n_outputs == 1: if self.model_output != "logloss": self.expected_value = phi[0, -1, 0] if flat_output: return phi[0, :-1, 0] else: return phi[:, :-1, 0] else: if self.model_output != "logloss": self.expected_value = [phi[0, -1, i] for i in range(phi.shape[2])] if flat_output: return [phi[0, :-1, i] for i in range(self.model.n_outputs)] else: return [phi[:, :-1, i] for i in range(self.model.n_outputs)]	python	def shap_values(self, X, y=None, tree_limit=None, approximate=False): """ Estimate the SHAP values for a set of samples. Parameters ---------- X : numpy.array, pandas.DataFrame or catboost.Pool (for catboost) A matrix of samples (# samples x # features) on which to explain the model's output. y : numpy.array An array of label values for each sample. Used when explaining loss functions. tree_limit : None (default) or int Limit the number of trees used by the model. By default None means no use the limit of the original model, and -1 means no limit. approximate : bool Run fast, but only roughly approximate the Tree SHAP values. This runs a method previously proposed by Saabas which only considers a single feature ordering. Take care since this does not have the consistency guarantees of Shapley values and places too much weight on lower splits in the tree. Returns ------- For models with a single output this returns a matrix of SHAP values (# samples x # features). Each row sums to the difference between the model output for that sample and the expected value of the model output (which is stored in the expected_value attribute of the explainer when it is constant). For models with vector outputs this returns a list of such matrices, one for each output. """ # see if we have a default tree_limit in place. if tree_limit is None: tree_limit = -1 if self.model.tree_limit is None else self.model.tree_limit # shortcut using the C++ version of Tree SHAP in XGBoost, LightGBM, and CatBoost if self.feature_dependence == "tree_path_dependent" and self.model.model_type != "internal" and self.data is None: phi = None if self.model.model_type == "xgboost": assert_import("xgboost") if not str(type(X)).endswith("xgboost.core.DMatrix'>"): X = xgboost.DMatrix(X) if tree_limit == -1: tree_limit = 0 phi = self.model.original_model.predict( X, ntree_limit=tree_limit, pred_contribs=True, approx_contribs=approximate, validate_features=False ) elif self.model.model_type == "lightgbm": assert not approximate, "approximate=True is not supported for LightGBM models!" phi = self.model.original_model.predict(X, num_iteration=tree_limit, pred_contrib=True) if phi.shape[1] != X.shape[1] + 1: phi = phi.reshape(X.shape[0], phi.shape[1]//(X.shape[1]+1), X.shape[1]+1) elif self.model.model_type == "catboost": # thanks to the CatBoost team for implementing this... assert not approximate, "approximate=True is not supported for CatBoost models!" assert tree_limit == -1, "tree_limit is not yet supported for CatBoost models!" if type(X) != catboost.Pool: X = catboost.Pool(X) phi = self.model.original_model.get_feature_importance(data=X, fstr_type='ShapValues') # note we pull off the last column and keep it as our expected_value if phi is not None: if len(phi.shape) == 3: self.expected_value = [phi[0, i, -1] for i in range(phi.shape[1])] return [phi[:, i, :-1] for i in range(phi.shape[1])] else: self.expected_value = phi[0, -1] return phi[:, :-1] # convert dataframes orig_X = X if str(type(X)).endswith("pandas.core.series.Series'>"): X = X.values elif str(type(X)).endswith("pandas.core.frame.DataFrame'>"): X = X.values flat_output = False if len(X.shape) == 1: flat_output = True X = X.reshape(1, X.shape[0]) if X.dtype != self.model.dtype: X = X.astype(self.model.dtype) X_missing = np.isnan(X, dtype=np.bool) assert str(type(X)).endswith("'numpy.ndarray'>"), "Unknown instance type: " + str(type(X)) assert len(X.shape) == 2, "Passed input data matrix X must have 1 or 2 dimensions!" if tree_limit < 0 or tree_limit > self.model.values.shape[0]: tree_limit = self.model.values.shape[0] if self.model_output == "logloss": assert y is not None, "Both samples and labels must be provided when explaining the loss (i.e. `explainer.shap_values(X, y)`)!" assert X.shape[0] == len(y), "The number of labels (%d) does not match the number of samples to explain (%d)!" % (len(y), X.shape[0]) transform = self.model.get_transform(self.model_output) if self.feature_dependence == "tree_path_dependent": assert self.model.fully_defined_weighting, "The background dataset you provided does not cover all the leaves in the model, " \ "so TreeExplainer cannot run with the feature_dependence=\"tree_path_dependent\" option! " \ "Try providing a larger background dataset, or using feature_dependence=\"independent\"." # run the core algorithm using the C extension assert_import("cext") phi = np.zeros((X.shape[0], X.shape[1]+1, self.model.n_outputs)) if not approximate: _cext.dense_tree_shap( self.model.children_left, self.model.children_right, self.model.children_default, self.model.features, self.model.thresholds, self.model.values, self.model.node_sample_weight, self.model.max_depth, X, X_missing, y, self.data, self.data_missing, tree_limit, self.model.base_offset, phi, feature_dependence_codes[self.feature_dependence], output_transform_codes[transform], False ) else: _cext.dense_tree_saabas( self.model.children_left, self.model.children_right, self.model.children_default, self.model.features, self.model.thresholds, self.model.values, self.model.max_depth, tree_limit, self.model.base_offset, output_transform_codes[transform], X, X_missing, y, phi ) # note we pull off the last column and keep it as our expected_value if self.model.n_outputs == 1: if self.model_output != "logloss": self.expected_value = phi[0, -1, 0] if flat_output: return phi[0, :-1, 0] else: return phi[:, :-1, 0] else: if self.model_output != "logloss": self.expected_value = [phi[0, -1, i] for i in range(phi.shape[2])] if flat_output: return [phi[0, :-1, i] for i in range(self.model.n_outputs)] else: return [phi[:, :-1, i] for i in range(self.model.n_outputs)]	[ "def", "shap_values", "(", "self", ",", "X", ",", "y", "=", "None", ",", "tree_limit", "=", "None", ",", "approximate", "=", "False", ")", ":", "# see if we have a default tree_limit in place.", "if", "tree_limit", "is", "None", ":", "tree_limit", "=", "-", "1", "if", "self", ".", "model", ".", "tree_limit", "is", "None", "else", "self", ".", "model", ".", "tree_limit", "# shortcut using the C++ version of Tree SHAP in XGBoost, LightGBM, and CatBoost", "if", "self", ".", "feature_dependence", "==", "\"tree_path_dependent\"", "and", "self", ".", "model", ".", 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"(", "(", "X", ".", "shape", "[", "0", "]", ",", "X", ".", "shape", "[", "1", "]", "+", "1", ",", "self", ".", "model", ".", "n_outputs", ")", ")", "if", "not", "approximate", ":", "_cext", ".", "dense_tree_shap", "(", "self", ".", "model", ".", "children_left", ",", "self", ".", "model", ".", "children_right", ",", "self", ".", "model", ".", "children_default", ",", "self", ".", "model", ".", "features", ",", "self", ".", "model", ".", "thresholds", ",", "self", ".", "model", ".", "values", ",", "self", ".", "model", ".", "node_sample_weight", ",", "self", ".", "model", ".", "max_depth", ",", "X", ",", "X_missing", ",", "y", ",", "self", ".", "data", ",", "self", ".", "data_missing", ",", "tree_limit", ",", "self", ".", "model", ".", "base_offset", ",", "phi", ",", "feature_dependence_codes", "[", "self", ".", "feature_dependence", "]", ",", "output_transform_codes", "[", "transform", "]", ",", "False", ")", "else", ":", "_cext", ".", "dense_tree_saabas", "(", "self", ".", "model", ".", "children_left", ",", "self", ".", "model", ".", "children_right", ",", "self", ".", "model", ".", "children_default", ",", "self", ".", "model", ".", "features", ",", "self", ".", "model", ".", "thresholds", ",", "self", ".", "model", ".", "values", ",", "self", ".", "model", ".", "max_depth", ",", "tree_limit", ",", "self", ".", "model", ".", "base_offset", ",", "output_transform_codes", "[", "transform", "]", ",", "X", ",", "X_missing", ",", "y", ",", "phi", ")", "# note we pull off the last column and keep it as our expected_value", "if", "self", ".", "model", ".", "n_outputs", "==", "1", ":", "if", "self", ".", "model_output", "!=", "\"logloss\"", ":", "self", ".", "expected_value", "=", "phi", "[", "0", ",", "-", "1", ",", "0", "]", "if", "flat_output", ":", "return", "phi", "[", "0", ",", ":", "-", "1", ",", "0", "]", "else", ":", "return", "phi", "[", ":", ",", ":", "-", "1", ",", "0", "]", "else", ":", "if", "self", ".", "model_output", "!=", "\"logloss\"", ":", "self", ".", "expected_value", "=", "[", "phi", "[", "0", ",", "-", "1", ",", "i", "]", "for", "i", "in", "range", "(", "phi", ".", "shape", "[", "2", "]", ")", "]", "if", "flat_output", ":", "return", "[", "phi", "[", "0", ",", ":", "-", "1", ",", "i", "]", "for", "i", "in", "range", "(", "self", ".", "model", ".", "n_outputs", ")", "]", "else", ":", "return", "[", "phi", "[", ":", ",", ":", "-", "1", ",", "i", "]", "for", "i", "in", "range", "(", "self", ".", "model", ".", "n_outputs", ")", "]" ]	Estimate the SHAP values for a set of samples. Parameters ---------- X : numpy.array, pandas.DataFrame or catboost.Pool (for catboost) A matrix of samples (# samples x # features) on which to explain the model's output. y : numpy.array An array of label values for each sample. Used when explaining loss functions. tree_limit : None (default) or int Limit the number of trees used by the model. By default None means no use the limit of the original model, and -1 means no limit. approximate : bool Run fast, but only roughly approximate the Tree SHAP values. This runs a method previously proposed by Saabas which only considers a single feature ordering. Take care since this does not have the consistency guarantees of Shapley values and places too much weight on lower splits in the tree. Returns ------- For models with a single output this returns a matrix of SHAP values (# samples x # features). Each row sums to the difference between the model output for that sample and the expected value of the model output (which is stored in the expected_value attribute of the explainer when it is constant). For models with vector outputs this returns a list of such matrices, one for each output.	[ "Estimate", "the", "SHAP", "values", "for", "a", "set", "of", "samples", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/tree.py#L131-L263	train	Estimate the Shap values for a set of samples.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1011 + 0o47) + '\x36' + chr(0b10010 + 0o40), 23758 - 23750), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110011 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2312 - 2201) + chr(0b110001) + '\066' + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\x31' + '\065', 34061 - 34053), ehT0Px3KOsy9(chr(1506 - 1458) + chr(0b1101111) + chr(0b110010) + '\x31' + chr(0b110110), 30757 - 30749), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b110 + 0o151) + '\063' + '\x33' + chr(0b100000 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\067' + chr(1807 - 1757), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(209 - 156) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(0b100101 + 0o16) + chr(0b1111 + 0o47), 26494 - 26486), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\067' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b110100) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(3286 - 3175) + chr(313 - 264) + '\x32' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1562 - 1514) + chr(0b1101111) + chr(0b10000 + 0o42) + chr(993 - 941) + chr(0b10001 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101101 + 0o6) + '\066' + chr(2632 - 2577), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\x31' + chr(0b10111 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101010 + 0o105) + chr(416 - 366) + chr(0b10000 + 0o40) + chr(51), 12996 - 12988), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + chr(1466 - 1415) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b10010 + 0o40) + '\067', 0o10), ehT0Px3KOsy9(chr(481 - 433) + '\157' + chr(0b110100) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b100000 + 0o22) + chr(0b1110 + 0o42), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\x30' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011001 + 0o26) + chr(49) + chr(0b110010) + chr(0b110100), 7432 - 7424), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(52) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(1736 - 1687) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(51), 40521 - 40513), ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + '\x30', 64185 - 64177), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010100 + 0o33) + chr(55) + '\063', 28822 - 28814), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100100 + 0o17) + chr(48) + chr(2036 - 1984), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(1190 - 1142) + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1000001 + 0o56) + chr(0b110001) + '\060' + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3155 - 3044) + chr(0b11001 + 0o34) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(1084 - 1034) + '\x30', 8), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b11111 + 0o30) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b101100 + 0o13) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001100 + 0o43) + chr(679 - 628) + '\062' + chr(53), 59937 - 59929), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b100111 + 0o13) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1499 - 1451) + chr(0b101000 + 0o107) + chr(0b110011) + chr(0b11100 + 0o27) + chr(49), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b1101 + 0o43) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(1770 - 1722) + chr(2232 - 2121) + '\063' + chr(0b110111) + chr(0b0 + 0o66), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(53) + chr(0b11000 + 0o30), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c'), chr(100) + '\x65' + chr(0b1000001 + 0o42) + chr(0b101000 + 0o107) + '\x64' + chr(101))(chr(0b1101 + 0o150) + chr(116) + chr(0b1100110) + chr(0b10100 + 0o31) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def B6TQhWekbimD(oVre8I6UXc3b, xEgrFJ0REugl, SqiSOtYOqOJH=None, om2D6HhkyzLU=None, g4P41MmTNtra=ehT0Px3KOsy9('\x30' + chr(0b11011 + 0o124) + chr(0b1010 + 0o46), 8)): if om2D6HhkyzLU is None: om2D6HhkyzLU = -ehT0Px3KOsy9('\x30' + '\x6f' + chr(49), ord("\x08")) if oVre8I6UXc3b.model.tree_limit is None else oVre8I6UXc3b.model.tree_limit if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4r\x13\xb9\xfb\xaa\xdfvz]\x110\xca\x93\xed\|2'), '\x64' + chr(0b0 + 0o145) + '\x63' + chr(10416 - 10305) + chr(881 - 781) + chr(0b1111 + 0o126))(chr(13522 - 13405) + chr(8517 - 8401) + chr(1535 - 1433) + chr(0b10110 + 0o27) + chr(56))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6e\x17\xa8\xd1\xa8\xdb]vg\x050\xd4\x92!\xe7z9V'), chr(100) + chr(0b11110 + 0o107) + chr(8635 - 8536) + chr(0b101010 + 0o105) + '\144' + '\145')('\x75' + '\164' + chr(0b1000 + 0o136) + '\055' + '\070') and xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfx\x16\xa8\xe2\x87\xcePn]'), chr(0b1100100) + chr(704 - 603) + chr(0b1010000 + 0o23) + chr(0b1101100 + 0o3) + '\x64' + chr(101))(chr(1450 - 1333) + chr(0b10100 + 0o140) + chr(102) + '\x2d' + '\x38')) != xafqLlk3kkUe(SXOLrMavuUCe(b'\xdby\x06\xa8\xfc\xb6\xdbE'), chr(0b1010010 + 0o22) + chr(101) + chr(7836 - 7737) + chr(0b10110 + 0o131) + chr(100) + '\x65')(chr(117) + chr(0b1110100) + chr(0b11011 + 0o113) + '\055' + '\x38') and (xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"\xe7[\x1c\xa7\xfe\xee\xfe\x1f{^'\x1d"), chr(0b1100100) + chr(101) + chr(3585 - 3486) + '\x6f' + chr(100) + chr(5845 - 5744))(chr(117) + chr(116) + chr(2075 - 1973) + chr(45) + '\070')) is None): IOGtkN7op9UY = None if xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfx\x16\xa8\xe2\x87\xcePn]'), chr(0b111110 + 0o46) + '\145' + chr(3543 - 3444) + '\x6f' + chr(0b1010001 + 0o23) + '\145')('\165' + chr(116) + '\146' + chr(1214 - 1169) + chr(0b111000))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xcap\x10\xa2\xe1\xab\xce'), '\x64' + '\145' + chr(2110 - 2011) + chr(0b1101101 + 0o2) + chr(100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1100110) + '\x2d' + '\x38'): LxkgAWKkJQrK(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcap\x10\xa2\xe1\xab\xce'), '\144' + '\x65' + chr(99) + chr(111) + '\144' + chr(338 - 237))(chr(0b1001110 + 0o47) + '\164' + '\x66' + chr(0b10 + 0o53) + chr(0b111000))) if not xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7y\x16\xbe\xf9\xb1\xceA'), chr(100) + chr(6878 - 6777) + '\143' + chr(0b1101111) + chr(100) + chr(2780 - 2679))(chr(0b1110101) + chr(0b1100011 + 0o21) + chr(5342 - 5240) + chr(0b101101) + chr(0b101111 + 0o11)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcap\x10\xa2\xe1\xab\xce\x07}W\x130\x8a\xb3\x02\xe2k%K\xa8\xe1j'), chr(6594 - 6494) + chr(0b11101 + 0o110) + chr(99) + '\157' + chr(4405 - 4305) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1010110 + 0o20) + chr(1939 - 1894) + chr(0b1010 + 0o56))): xEgrFJ0REugl = NKmEqkybnax6.DMatrix(xEgrFJ0REugl) if om2D6HhkyzLU == -ehT0Px3KOsy9('\060' + chr(2361 - 2250) + chr(1375 - 1326), 8): om2D6HhkyzLU = ehT0Px3KOsy9('\060' + '\157' + '\060', 8) IOGtkN7op9UY = oVre8I6UXc3b.model.original_model.POyImYQwg5VB(xEgrFJ0REugl, ntree_limit=om2D6HhkyzLU, pred_contribs=ehT0Px3KOsy9(chr(48) + '\157' + chr(1540 - 1491), 8), approx_contribs=g4P41MmTNtra, validate_features=ehT0Px3KOsy9(chr(1624 - 1576) + chr(111) + '\060', 8)) elif xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfx\x16\xa8\xe2\x87\xcePn]'), chr(2760 - 2660) + chr(101) + chr(8609 - 8510) + chr(0b1101111) + chr(0b1100100) + '\x65')('\165' + chr(0b1110100) + chr(4922 - 4820) + '\x2d' + '\x38')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xde~\x15\xa5\xfa\xbf\xd8D'), chr(0b100111 + 0o75) + '\x65' + chr(4820 - 4721) + '\x6f' + chr(0b111010 + 0o52) + chr(0b1100101))(chr(117) + '\x74' + chr(102) + '\055' + '\070'): assert not g4P41MmTNtra, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3g\x02\xbf\xe1\xa0\xd3D\x7fL\x04h\xf0\x85:\xe6?>Q\xf0\xa8;P\xeb`uK\xb4n3K\xb4\xd8\x9c\xba\xe1\xf9\xc8\x97\xd5\x7f\x06\x8a\xcc\x95\x9aDq\\\x049\xd7\xd6'), chr(0b1100100) + chr(0b1100101) + chr(8378 - 8279) + chr(111) + chr(100) + '\x65')('\165' + '\164' + '\x66' + '\x2d' + chr(0b111000)) IOGtkN7op9UY = oVre8I6UXc3b.model.original_model.POyImYQwg5VB(xEgrFJ0REugl, num_iteration=om2D6HhkyzLU, pred_contrib=ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + chr(0b101100 + 0o5), 8)) if xafqLlk3kkUe(IOGtkN7op9UY, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdcv\x07\x94\xe8\x94\xddEJH\x027'), chr(100) + chr(101) + chr(0b1100011) + '\157' + chr(100) + chr(5155 - 5054))(chr(8350 - 8233) + chr(116) + chr(102) + '\055' + chr(0b1100 + 0o54)))[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001), 8)] != xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdcv\x07\x94\xe8\x94\xddEJH\x027'), chr(0b1100100) + chr(5302 - 5201) + chr(0b1100011) + chr(7804 - 7693) + chr(0b11000 + 0o114) + chr(0b11 + 0o142))('\x75' + '\x74' + chr(0b10001 + 0o125) + chr(1509 - 1464) + chr(1447 - 1391)))[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 8)] + ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', 8): IOGtkN7op9UY = IOGtkN7op9UY.reshape(xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(1068 - 1020) + chr(111) + '\060', 8)], IOGtkN7op9UY.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + chr(2096 - 1985) + '\x31', 8)] // (xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061', 8)] + ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 8)), xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1011110 + 0o21) + '\061', 8)] + ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', 8)) elif xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfx\x16\xa8\xe2\x87\xcePn]'), chr(0b111101 + 0o47) + chr(0b1100101) + chr(1433 - 1334) + chr(10299 - 10188) + chr(0b1100100) + '\145')('\165' + chr(116) + chr(0b1100110) + '\055' + chr(0b111000))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1v\x06\xaf\xe1\xb7\xc9]'), chr(0b1100100) + chr(9743 - 9642) + '\x63' + '\x6f' + '\x64' + '\x65')(chr(0b100 + 0o161) + chr(0b11000 + 0o134) + chr(8345 - 8243) + '\055' + chr(56)): assert not g4P41MmTNtra, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3g\x02\xbf\xe1\xa0\xd3D\x7fL\x04h\xf0\x85:\xe6?>Q\xf0\xa8;P\xeb`uK\xb4n3K\xb4\xd8\x9c\xba\xe1\xf9\xc7\x9f\xc6U\x1d\xa2\xfd\xac\x9aDq\\\x049\xd7\xd6'), '\144' + chr(101) + chr(0b1100011) + '\157' + chr(0b1001000 + 0o34) + chr(101))('\x75' + chr(116) + chr(0b1100110) + chr(257 - 212) + chr(56)) assert om2D6HhkyzLU == -ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1676 - 1627), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6e\x17\xa8\xd1\xb4\xd3DwLA<\xd7\xd7!\xeckw[\xb5\xb2tW\xbecpT\xb61y#\x0e\xb6\x97\x88\xf5\xd0\xb8\xf0\xbc\xddx\x01\xb9\xae\xb5\xd5M{T\x12t'), chr(1611 - 1511) + '\145' + chr(99) + '\157' + '\144' + chr(101))(chr(117) + '\x74' + chr(0b1100110) + chr(45) + '\x38') if not PlSM16l2KDPD(xEgrFJ0REugl, xafqLlk3kkUe(GQvMBlISzRwH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2x\x1d\xa1'), chr(0b1100100) + chr(0b11011 + 0o112) + chr(0b1001 + 0o132) + '\x6f' + chr(100) + chr(0b100110 + 0o77))(chr(0b1110101) + '\164' + chr(8807 - 8705) + chr(0b101010 + 0o3) + chr(56)))): xEgrFJ0REugl = GQvMBlISzRwH.Pool(xEgrFJ0REugl) IOGtkN7op9UY = oVre8I6UXc3b.model.original_model.get_feature_importance(data=xEgrFJ0REugl, fstr_type=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\x7f\x13\xbd\xd8\xb9\xd6\\{K'), chr(0b1100100) + chr(3159 - 3058) + chr(99) + chr(1956 - 1845) + chr(0b110001 + 0o63) + '\x65')(chr(0b1110101) + '\x74' + chr(0b1001001 + 0o35) + chr(0b101011 + 0o2) + '\070')) if IOGtkN7op9UY is not None: if c2A0yzQpDQB3(xafqLlk3kkUe(IOGtkN7op9UY, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdcv\x07\x94\xe8\x94\xddEJH\x027'), '\x64' + '\x65' + chr(99) + chr(0b1101111) + chr(0b111 + 0o135) + chr(0b1100101))(chr(0b1110101) + chr(1002 - 886) + chr(0b1100110) + chr(0b101101) + '\070'))) == ehT0Px3KOsy9(chr(0b110000) + chr(0b1010111 + 0o30) + '\x33', 0b1000): oVre8I6UXc3b.e8FN4Cku5bId = [IOGtkN7op9UY[ehT0Px3KOsy9(chr(48) + chr(111) + '\060', 8), WVxHKyX45z_L, -ehT0Px3KOsy9('\060' + '\x6f' + '\061', 8)] for WVxHKyX45z_L in vQr8gNKaIaWE(IOGtkN7op9UY.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(407 - 358), 8)])] return [IOGtkN7op9UY[:, WVxHKyX45z_L, :-ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49), 8)] for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(IOGtkN7op9UY, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdcv\x07\x94\xe8\x94\xddEJH\x027'), '\144' + '\145' + chr(0b1001011 + 0o30) + chr(111) + '\144' + '\x65')('\x75' + chr(0b1110100) + chr(102) + chr(849 - 804) + '\x38'))[ehT0Px3KOsy9(chr(48) + chr(0b100011 + 0o114) + chr(49), 8)])] else: oVre8I6UXc3b.e8FN4Cku5bId = IOGtkN7op9UY[ehT0Px3KOsy9('\x30' + '\157' + '\x30', 8), -ehT0Px3KOsy9(chr(48) + chr(111) + chr(1198 - 1149), 8)] return IOGtkN7op9UY[:, :-ehT0Px3KOsy9('\x30' + '\x6f' + chr(49), 8)] b_wCkm4Ht4z5 = xEgrFJ0REugl if xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7y\x16\xbe\xf9\xb1\xceA'), chr(0b1100100) + chr(2716 - 2615) + chr(0b1100011) + '\x6f' + '\x64' + chr(0b1100101))(chr(0b1110101) + '\164' + '\x66' + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b"\xc2v\x1c\xa9\xef\xab\x94JqJ\x04{\xd7\x92=\xeaz$\x0c\x83\xa3&M\xae`'\x05"), chr(0b1001000 + 0o34) + '\145' + chr(1899 - 1800) + chr(111) + '\x64' + '\x65')(chr(0b111000 + 0o75) + chr(0b11000 + 0o134) + chr(0b1100110) + chr(659 - 614) + chr(925 - 869))): xEgrFJ0REugl = xEgrFJ0REugl.SPnCNu54H1db elif xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7y\x16\xbe\xf9\xb1\xceA'), chr(0b1100100) + '\x65' + chr(4520 - 4421) + '\x6f' + '\144' + '\x65')('\165' + chr(0b1110100) + chr(0b1000000 + 0o46) + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2v\x1c\xa9\xef\xab\x94JqJ\x04{\xc2\x85.\xeezyf\xb1\xb25b\xb9rm^\xe3{'), chr(3838 - 3738) + chr(3719 - 3618) + '\143' + '\x6f' + chr(0b10100 + 0o120) + chr(0b1100101))(chr(0b1110101) + '\x74' + '\146' + chr(45) + '\070')): xEgrFJ0REugl = xEgrFJ0REugl.SPnCNu54H1db eHR9O2LGSiYd = ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(102 - 54), 8) if c2A0yzQpDQB3(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdcv\x07\x94\xe8\x94\xddEJH\x027'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b110011 + 0o74) + chr(0b1100100) + chr(101))(chr(0b1011100 + 0o31) + '\164' + '\146' + chr(45) + chr(0b11 + 0o65)))) == ehT0Px3KOsy9('\x30' + '\157' + chr(49), 8): eHR9O2LGSiYd = ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001), 8) xEgrFJ0REugl = xEgrFJ0REugl.reshape(ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(49), 8), xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\x30', 8)]) if xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8D$\xf4\xc7\x93\xd4LspV\x1e'), chr(0b1100100) + chr(9240 - 9139) + chr(0b1100011) + chr(0b111000 + 0o67) + '\144' + '\145')('\x75' + chr(9095 - 8979) + chr(0b1100110) + chr(0b101101) + chr(527 - 471))) != xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8D$\xf4\xc7\x93\xd4LspV\x1e'), chr(100) + chr(101) + '\143' + '\157' + chr(0b1100100) + chr(1517 - 1416))('\x75' + chr(0b1110100) + '\x66' + chr(45) + chr(0b111000))): xEgrFJ0REugl = xEgrFJ0REugl.astype(oVre8I6UXc3b.model.jSV9IKnemH7K) thVLhtlXVOER = WqUC3KWvYVup.isnan(xEgrFJ0REugl, dtype=WqUC3KWvYVup.bool) assert xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7y\x16\xbe\xf9\xb1\xceA'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(7424 - 7324) + '\145')(chr(0b1101001 + 0o14) + chr(116) + '\x66' + chr(864 - 819) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b"\x95y\x07\xa0\xfe\xa1\x94GzY\x13'\xc5\x8eh\xbd"), chr(0b1010001 + 0o23) + chr(4259 - 4158) + chr(6802 - 6703) + chr(111) + chr(0b1011111 + 0o5) + '\x65')(chr(117) + chr(116) + '\x66' + chr(0b10011 + 0o32) + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7y\x19\xa3\xe1\xaf\xd4\twV\x12!\xc5\x99,\xe6?#[\xa0\xa3n\x04'), chr(100) + '\x65' + '\x63' + chr(4739 - 4628) + chr(4093 - 3993) + chr(3161 - 3060))('\x75' + '\x74' + chr(0b1100100 + 0o2) + chr(0b101101) + chr(2997 - 2941)) + M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)) assert c2A0yzQpDQB3(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdcv\x07\x94\xe8\x94\xddEJH\x027'), chr(5941 - 5841) + chr(101) + '\x63' + '\157' + chr(1218 - 1118) + '\145')(chr(117) + chr(5663 - 5547) + '\x66' + '\x2d' + chr(2952 - 2896)))) == ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062', 37937 - 37929), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2v\x01\xbe\xeb\xbc\x9a@pH\x14!\x84\x93.\xf7~wO\xb1\xb2&M\xb33X\x1b\xa90o3\x0e\xb8\x99\x8c\xb0\xb3\xe8\xa4\x91\xc07@\xed\xea\xb1\xd7LpK\x08:\xca\x84n'), '\x64' + chr(2530 - 2429) + '\x63' + '\x6f' + '\144' + chr(101))('\x75' + '\164' + chr(102) + chr(45) + '\x38') if om2D6HhkyzLU < ehT0Px3KOsy9(chr(1593 - 1545) + '\x6f' + chr(291 - 243), 8) or om2D6HhkyzLU > xafqLlk3kkUe(oVre8I6UXc3b.model.values, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdcv\x07\x94\xe8\x94\xddEJH\x027'), chr(0b1010101 + 0o17) + chr(0b101111 + 0o66) + '\143' + chr(0b1101111) + chr(100) + chr(101))(chr(0b11100 + 0o131) + '\164' + chr(0b1100110) + '\055' + '\070'))[ehT0Px3KOsy9('\060' + '\x6f' + '\x30', 8)]: om2D6HhkyzLU = oVre8I6UXc3b.model.values.nauYfLglTpcb[ehT0Px3KOsy9('\x30' + '\157' + chr(0b100101 + 0o13), 8)] if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfx\x16\xa8\xe2\x87\xd5\\jH\x14!'), chr(0b1000100 + 0o40) + chr(101) + '\143' + '\157' + '\x64' + chr(101))(chr(0b1100101 + 0o20) + chr(0b1110100) + chr(0b1011011 + 0o13) + chr(0b101101 + 0o0) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xdex\x15\xa1\xe1\xab\xc9'), chr(3403 - 3303) + chr(0b1100101) + chr(0b1010011 + 0o20) + chr(0b10110 + 0o131) + chr(0b1100100) + chr(101))('\165' + chr(116) + chr(102) + '\055' + chr(0b111000)): assert SqiSOtYOqOJH is not None, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0x\x06\xa5\xae\xab\xdbDnT\x04&\x84\x96!\xe7?;C\xb2\xa38W\xeb~uH\xb0e~"\x0e\xa0\x8a\x95\xa3\xfa\xbd\xe1\x9a\x92`\x1a\xa8\xe0\xf8\xdfQnT\x00<\xca\x9e!\xe4?#J\xb5\xe68K\xb8` \x13\xadkyi\x0e\xb0\x9d\x82\xa5\xff\xb8\xed\x90\xd7e\\\xbe\xe6\xb9\xcavhY\r \xc1\x84g\xdb3w[\xf9\xa6}\x05'), chr(0b1100100) + chr(0b1000100 + 0o41) + chr(0b1011001 + 0o12) + chr(2402 - 2291) + chr(178 - 78) + chr(101))(chr(0b1010011 + 0o42) + '\x74' + '\x66' + chr(45) + chr(56)) assert xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdcv\x07\x94\xe8\x94\xddEJH\x027'), chr(0b1010100 + 0o20) + chr(0b110111 + 0o56) + chr(0b1100011) + chr(111) + chr(7479 - 7379) + chr(101))(chr(0b1110101) + chr(0b1110010 + 0o2) + chr(0b1000001 + 0o45) + chr(1615 - 1570) + chr(0b111 + 0o61)))[ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11111 + 0o21), 8)] == c2A0yzQpDQB3(SqiSOtYOqOJH), xafqLlk3kkUe(SXOLrMavuUCe(b"\xe6\x7f\x17\xed\xe0\xad\xd7K{JA:\xc2\xd7#\xe2}2N\xa3\xe6\|\x01\xaf: _\xab og@\xbf\x8c\xda\xb8\xf2\xad\xe7\x96\x92c\x1a\xa8\xae\xb6\xcfD\|]\x13u\xcb\x91o\xf0~:R\xbc\xa3'\x04\xbf\| ^\xbc5p&G\xbe\xd8\xd2\xf0\xf7\xf0\xa5"), '\144' + chr(101) + '\143' + chr(8549 - 8438) + chr(8022 - 7922) + chr(0b100111 + 0o76))('\x75' + chr(0b1110100) + chr(4714 - 4612) + chr(651 - 606) + chr(0b101001 + 0o17)) % (c2A0yzQpDQB3(SqiSOtYOqOJH), xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdcv\x07\x94\xe8\x94\xddEJH\x027'), chr(0b1010001 + 0o23) + '\x65' + '\143' + chr(0b1101111) + chr(3054 - 2954) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000)))[ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + '\060', 8)]) ASNeIOBhze_M = oVre8I6UXc3b.model.get_transform(oVre8I6UXc3b.model_output) if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4r\x13\xb9\xfb\xaa\xdfvz]\x110\xca\x93\xed\|2'), chr(2231 - 2131) + chr(1086 - 985) + '\143' + '\x6f' + '\x64' + '\145')(chr(0b11001 + 0o134) + chr(116) + chr(0b1011110 + 0o10) + '\x2d' + chr(56))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6e\x17\xa8\xd1\xa8\xdb]vg\x050\xd4\x92!\xe7z9V'), chr(7982 - 7882) + '\x65' + chr(99) + chr(111) + '\144' + chr(4069 - 3968))('\x75' + chr(0b1100110 + 0o16) + chr(0b100 + 0o142) + '\x2d' + '\x38'): assert xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4b\x1e\xa1\xf7\x87\xdeLxQ\x0f0\xc0\xa88\xe6v0J\xa4\xaf:C'), chr(0b1100100) + chr(101) + chr(0b1001100 + 0o27) + chr(11437 - 11326) + chr(0b1100100) + chr(101))(chr(9032 - 8915) + '\x74' + chr(0b11 + 0o143) + '\055' + '\x38')), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\x7f\x17\xed\xec\xb9\xd9ByJ\x0e \xca\x93o\xe7~#C\xa3\xa3 \x04\xb2\|u\x1b\xb47s1G\xb4\x9d\x9e\xf5\xf7\xb6\xe1\x8d\x92y\x1d\xb9\xae\xbb\xd5_{JA4\xc8\x9bo\xf7w2\x02\xbc\xa35R\xae` R\xaaeh/K\xf0\x95\x95\xb1\xf6\xb5\xa8\xde\xc1xR\x99\xfc\xbd\xdflfH\r4\xcd\x99\xf1?4C\xbe\xa8;P\xebauU\xe42u3F\xf0\x8c\x92\xb0\xb3\xbf\xe1\x9f\xc6b\x00\xa8\xd1\xbc\xdfY{V\x050\xca\x94\xbe=#P\xb5\xa3\x0bT\xaaghd\xa0 l"@\xb4\x9d\x94\xa1\xb1\xf9\xeb\x8e\xc6~\x1d\xa3\xaf\xf8\xee[g\x18\x11\'\xcb\x81&\xe7v9E\xf0\xa7tH\xaaag^\xb6e~&M\xbb\x9f\x88\xba\xe6\xb7\xe0\xde\xd6v\x06\xac\xfd\xbd\xce\x05>W\x13u\xd1\x84&\xedxwD\xb5\xa7 Q\xb9v__\xa15y)J\xb5\x96\x99\xb0\xae\xfb\xed\x90\xd6r\x02\xa8\xe0\xbc\xdfGj\x1aO'), '\144' + chr(3888 - 3787) + '\143' + chr(111) + '\x64' + '\x65')('\165' + chr(0b1010111 + 0o35) + chr(0b1101 + 0o131) + '\x2d' + '\x38') LxkgAWKkJQrK(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1r\n\xb9'), '\x64' + chr(101) + '\x63' + chr(0b11 + 0o154) + chr(0b101 + 0o137) + chr(101))('\x75' + '\164' + '\146' + '\x2d' + chr(929 - 873))) IOGtkN7op9UY = WqUC3KWvYVup.zeros((xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b111100 + 0o63) + chr(0b110000), 8)], xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9('\060' + '\157' + '\061', 8)] + ehT0Px3KOsy9('\060' + chr(0b101101 + 0o102) + '\x31', 8), oVre8I6UXc3b.model.n_outputs)) if not g4P41MmTNtra: xafqLlk3kkUe(en9DilJiFjXV, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6r\x1c\xbe\xeb\x87\xce[{]>&\xcc\x96?'), '\144' + chr(0b1100101) + '\x63' + chr(0b110101 + 0o72) + '\x64' + '\145')(chr(7224 - 7107) + chr(0b1110100) + '\146' + chr(45) + chr(56)))(xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\x7f\x1b\xa1\xea\xaa\xdfGAT\x043\xd0'), '\144' + '\x65' + chr(0b1100011) + chr(0b1101111) + '\144' + '\145')(chr(10002 - 9885) + '\164' + chr(3926 - 3824) + chr(45) + chr(548 - 492))), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\x7f\x1b\xa1\xea\xaa\xdfGAJ\x082\xcc\x83'), chr(2209 - 2109) + chr(0b1100101) + chr(99) + '\157' + chr(0b1100100) + chr(101))(chr(117) + '\x74' + chr(102) + chr(0b1 + 0o54) + chr(56))), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\x7f\x1b\xa1\xea\xaa\xdfGA\\\x043\xc5\x82#\xf7'), chr(0b1000001 + 0o43) + chr(0b1100101) + chr(0b1100011) + chr(7451 - 7340) + chr(100) + '\x65')(chr(117) + chr(116) + '\x66' + chr(1100 - 1055) + chr(756 - 700))), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4r\x13\xb9\xfb\xaa\xdfZ'), chr(0b1100100) + chr(0b101000 + 0o75) + '\x63' + '\x6f' + chr(0b1000100 + 0o40) + '\x65')(chr(5928 - 5811) + chr(116) + chr(112 - 10) + '\055' + chr(56))), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\x7f\x00\xa8\xfd\xb0\xd5EzK'), chr(0b1001101 + 0o27) + chr(0b1100101) + '\x63' + chr(3602 - 3491) + '\x64' + chr(101))('\165' + chr(0b10111 + 0o135) + chr(102) + '\x2d' + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1G\x1c\x8e\xc0\xad\x8f\x1dV\t\x057'), chr(100) + chr(101) + '\143' + chr(111) + '\x64' + chr(0b111001 + 0o54))(chr(0b1101110 + 0o7) + chr(8370 - 8254) + chr(0b1100110) + chr(45) + chr(1303 - 1247))), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdcx\x16\xa8\xd1\xab\xdbDnT\x04\n\xd3\x92&\xe4w#'), '\x64' + chr(1755 - 1654) + chr(99) + '\157' + chr(0b10101 + 0o117) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(102) + chr(1502 - 1457) + chr(0b111000))), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfv\n\x92\xea\xbd\xca]v'), chr(0b1100100) + chr(7016 - 6915) + chr(0b101111 + 0o64) + '\x6f' + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(9355 - 9239) + chr(102) + chr(0b101101) + '\070')), xEgrFJ0REugl, thVLhtlXVOER, SqiSOtYOqOJH, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"\xe7[\x1c\xa7\xfe\xee\xfe\x1f{^'\x1d"), '\144' + '\145' + chr(99) + '\157' + '\144' + '\x65')(chr(0b1110101) + chr(8400 - 8284) + '\x66' + '\x2d' + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6v\x06\xac\xd1\xb5\xd3ZmQ\x0f2'), '\144' + chr(8884 - 8783) + '\x63' + chr(111) + chr(0b1100100) + '\145')(chr(4991 - 4874) + chr(12860 - 12744) + chr(102) + chr(671 - 626) + chr(524 - 468))), om2D6HhkyzLU, xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0v\x01\xa8\xd1\xb7\xdcOm]\x15'), chr(100) + chr(8748 - 8647) + '\x63' + chr(0b1011000 + 0o27) + chr(0b1100100) + chr(101))('\x75' + chr(116) + chr(6263 - 6161) + '\x2d' + chr(0b11011 + 0o35))), IOGtkN7op9UY, sAbxG_qILi62[xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4r\x13\xb9\xfb\xaa\xdfvz]\x110\xca\x93*\xed\|2'), chr(0b11000 + 0o114) + chr(101) + chr(9045 - 8946) + '\157' + '\144' + chr(101))(chr(117) + '\164' + '\x66' + chr(0b11000 + 0o25) + chr(56)))], uGxUraH1qunB[ASNeIOBhze_M], ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + '\x30', 8)) else: xafqLlk3kkUe(en9DilJiFjXV, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6r\x1c\xbe\xeb\x87\xce[{]>&\xc5\x96-\xe2l'), '\144' + '\145' + '\143' + chr(111) + chr(0b1010 + 0o132) + chr(101))('\165' + chr(0b100011 + 0o121) + chr(0b1000000 + 0o46) + chr(377 - 332) + chr(2506 - 2450)))(xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\x7f\x1b\xa1\xea\xaa\xdfGAT\x043\xd0'), chr(100) + '\145' + chr(7269 - 7170) + chr(6657 - 6546) + '\144' + '\x65')('\165' + chr(0b1110100) + chr(0b101000 + 0o76) + '\x2d' + chr(0b111000))), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\x7f\x1b\xa1\xea\xaa\xdfGAJ\x082\xcc\x83'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + chr(0b100011 + 0o101) + chr(0b101000 + 0o75))(chr(2769 - 2652) + chr(6098 - 5982) + '\x66' + chr(45) + chr(0b111000))), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1\x7f\x1b\xa1\xea\xaa\xdfGA\\\x043\xc5\x82#\xf7'), chr(0b11101 + 0o107) + '\x65' + '\x63' + chr(0b1101111) + '\x64' + chr(0b11110 + 0o107))('\165' + chr(0b1001000 + 0o54) + '\x66' + chr(0b10010 + 0o33) + chr(0b100001 + 0o27))), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4r\x13\xb9\xfb\xaa\xdfZ'), chr(7658 - 7558) + '\145' + '\x63' + chr(10497 - 10386) + chr(0b1100100) + chr(0b1100101))('\165' + chr(6300 - 6184) + chr(102) + chr(45) + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\x7f\x00\xa8\xfd\xb0\xd5EzK'), '\144' + chr(101) + '\x63' + chr(10371 - 10260) + chr(100) + '\x65')(chr(0b1000 + 0o155) + chr(8467 - 8351) + chr(4916 - 4814) + chr(0b101101) + chr(0b110010 + 0o6))), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1G\x1c\x8e\xc0\xad\x8f\x1dV\t\x057'), chr(100) + chr(0b10100 + 0o121) + chr(99) + '\157' + '\x64' + chr(0b1 + 0o144))(chr(5041 - 4924) + '\164' + chr(0b1100110) + '\055' + chr(2330 - 2274))), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfv\n\x92\xea\xbd\xca]v'), chr(0b110000 + 0o64) + chr(9139 - 9038) + '\x63' + chr(5839 - 5728) + chr(0b1100100 + 0o0) + '\145')('\x75' + chr(0b1110100) + chr(102) + chr(0b101101) + chr(56))), om2D6HhkyzLU, xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0v\x01\xa8\xd1\xb7\xdcOm]\x15'), chr(0b1010101 + 0o17) + chr(0b1100101) + chr(1722 - 1623) + chr(0b1101111) + chr(0b1100100) + chr(5214 - 5113))(chr(117) + chr(8647 - 8531) + chr(0b1011 + 0o133) + chr(0b101101) + '\x38')), uGxUraH1qunB[ASNeIOBhze_M], xEgrFJ0REugl, thVLhtlXVOER, SqiSOtYOqOJH, IOGtkN7op9UY) if xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdcH\x1d\xb8\xfa\xa8\xcf]m'), chr(100) + chr(5895 - 5794) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b1100101))('\165' + chr(0b1110100) + chr(988 - 886) + chr(760 - 715) + chr(133 - 77))) == ehT0Px3KOsy9('\x30' + '\157' + chr(655 - 606), 8): if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfx\x16\xa8\xe2\x87\xd5\\jH\x14!'), '\144' + chr(101) + chr(0b1100011) + '\x6f' + '\144' + '\x65')(chr(0b1110001 + 0o4) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b111000))) != xafqLlk3kkUe(SXOLrMavuUCe(b'\xdex\x15\xa1\xe1\xab\xc9'), chr(100) + chr(0b1000 + 0o135) + chr(99) + chr(0b111101 + 0o62) + '\144' + chr(8836 - 8735))(chr(117) + chr(0b101111 + 0o105) + '\x66' + '\x2d' + chr(0b111000)): oVre8I6UXc3b.e8FN4Cku5bId = IOGtkN7op9UY[ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', 8), -ehT0Px3KOsy9(chr(48) + chr(0b101 + 0o152) + chr(49), 8), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + '\060', 8)] if eHR9O2LGSiYd: return IOGtkN7op9UY[ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + chr(48), 8), :-ehT0Px3KOsy9(chr(1014 - 966) + '\x6f' + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + chr(12015 - 11904) + chr(507 - 459), 8)] else: return IOGtkN7op9UY[:, :-ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061', 8), ehT0Px3KOsy9(chr(2067 - 2019) + '\157' + chr(0b101110 + 0o2), 8)] else: if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdfx\x16\xa8\xe2\x87\xd5\\jH\x14!'), chr(9402 - 9302) + '\x65' + chr(5782 - 5683) + chr(0b1101111) + '\x64' + chr(101))('\x75' + '\x74' + chr(0b1111 + 0o127) + '\055' + chr(0b100101 + 0o23))) != xafqLlk3kkUe(SXOLrMavuUCe(b'\xdex\x15\xa1\xe1\xab\xc9'), chr(0b101011 + 0o71) + chr(0b1100101) + chr(3859 - 3760) + '\x6f' + chr(100) + '\x65')(chr(117) + '\164' + '\x66' + '\055' + chr(0b111000)): oVre8I6UXc3b.e8FN4Cku5bId = [IOGtkN7op9UY[ehT0Px3KOsy9('\060' + chr(7280 - 7169) + chr(0b110000), 8), -ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(12038 - 11927) + chr(0b101111 + 0o2), 8), WVxHKyX45z_L] for WVxHKyX45z_L in vQr8gNKaIaWE(IOGtkN7op9UY.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32', 8)])] if eHR9O2LGSiYd: return [IOGtkN7op9UY[ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(7724 - 7613) + chr(0b110000), 8), :-ehT0Px3KOsy9(chr(205 - 157) + chr(0b1011000 + 0o27) + chr(0b110001), 8), WVxHKyX45z_L] for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdcH\x1d\xb8\xfa\xa8\xcf]m'), chr(100) + chr(0b1100 + 0o131) + '\143' + chr(0b1001111 + 0o40) + '\144' + '\145')('\165' + '\x74' + chr(1431 - 1329) + chr(0b101101) + chr(0b1011 + 0o55))))] else: return [IOGtkN7op9UY[:, :-ehT0Px3KOsy9(chr(1544 - 1496) + chr(0b111100 + 0o63) + chr(49), 8), WVxHKyX45z_L] for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdcH\x1d\xb8\xfa\xa8\xcf]m'), chr(100) + '\145' + chr(0b1011010 + 0o11) + chr(111) + '\144' + chr(101))(chr(117) + '\x74' + chr(102) + chr(0b1000 + 0o45) + chr(0b110000 + 0o10))))]
slundberg/shap	shap/explainers/tree.py	TreeExplainer.shap_interaction_values	def shap_interaction_values(self, X, y=None, tree_limit=None): """ Estimate the SHAP interaction values for a set of samples. Parameters ---------- X : numpy.array, pandas.DataFrame or catboost.Pool (for catboost) A matrix of samples (# samples x # features) on which to explain the model's output. y : numpy.array An array of label values for each sample. Used when explaining loss functions (not yet supported). tree_limit : None (default) or int Limit the number of trees used by the model. By default None means no use the limit of the original model, and -1 means no limit. Returns ------- For models with a single output this returns a tensor of SHAP values (# samples x # features x # features). The matrix (# features x # features) for each sample sums to the difference between the model output for that sample and the expected value of the model output (which is stored in the expected_value attribute of the explainer). Each row of this matrix sums to the SHAP value for that feature for that sample. The diagonal entries of the matrix represent the "main effect" of that feature on the prediction and the symmetric off-diagonal entries represent the interaction effects between all pairs of features for that sample. For models with vector outputs this returns a list of tensors, one for each output. """ assert self.model_output == "margin", "Only model_output = \"margin\" is supported for SHAP interaction values right now!" assert self.feature_dependence == "tree_path_dependent", "Only feature_dependence = \"tree_path_dependent\" is supported for SHAP interaction values right now!" transform = "identity" # see if we have a default tree_limit in place. if tree_limit is None: tree_limit = -1 if self.model.tree_limit is None else self.model.tree_limit # shortcut using the C++ version of Tree SHAP in XGBoost if self.model.model_type == "xgboost": assert_import("xgboost") if not str(type(X)).endswith("xgboost.core.DMatrix'>"): X = xgboost.DMatrix(X) if tree_limit == -1: tree_limit = 0 phi = self.model.original_model.predict(X, ntree_limit=tree_limit, pred_interactions=True) # note we pull off the last column and keep it as our expected_value if len(phi.shape) == 4: self.expected_value = [phi[0, i, -1, -1] for i in range(phi.shape[1])] return [phi[:, i, :-1, :-1] for i in range(phi.shape[1])] else: self.expected_value = phi[0, -1, -1] return phi[:, :-1, :-1] # convert dataframes if str(type(X)).endswith("pandas.core.series.Series'>"): X = X.values elif str(type(X)).endswith("pandas.core.frame.DataFrame'>"): X = X.values flat_output = False if len(X.shape) == 1: flat_output = True X = X.reshape(1, X.shape[0]) if X.dtype != self.model.dtype: X = X.astype(self.model.dtype) X_missing = np.isnan(X, dtype=np.bool) assert str(type(X)).endswith("'numpy.ndarray'>"), "Unknown instance type: " + str(type(X)) assert len(X.shape) == 2, "Passed input data matrix X must have 1 or 2 dimensions!" if tree_limit < 0 or tree_limit > self.model.values.shape[0]: tree_limit = self.model.values.shape[0] # run the core algorithm using the C extension assert_import("cext") phi = np.zeros((X.shape[0], X.shape[1]+1, X.shape[1]+1, self.model.n_outputs)) _cext.dense_tree_shap( self.model.children_left, self.model.children_right, self.model.children_default, self.model.features, self.model.thresholds, self.model.values, self.model.node_sample_weight, self.model.max_depth, X, X_missing, y, self.data, self.data_missing, tree_limit, self.model.base_offset, phi, feature_dependence_codes[self.feature_dependence], output_transform_codes[transform], True ) # note we pull off the last column and keep it as our expected_value if self.model.n_outputs == 1: self.expected_value = phi[0, -1, -1, 0] if flat_output: return phi[0, :-1, :-1, 0] else: return phi[:, :-1, :-1, 0] else: self.expected_value = [phi[0, -1, -1, i] for i in range(phi.shape[3])] if flat_output: return [phi[0, :-1, :-1, i] for i in range(self.model.n_outputs)] else: return [phi[:, :-1, :-1, i] for i in range(self.model.n_outputs)]	python	def shap_interaction_values(self, X, y=None, tree_limit=None): """ Estimate the SHAP interaction values for a set of samples. Parameters ---------- X : numpy.array, pandas.DataFrame or catboost.Pool (for catboost) A matrix of samples (# samples x # features) on which to explain the model's output. y : numpy.array An array of label values for each sample. Used when explaining loss functions (not yet supported). tree_limit : None (default) or int Limit the number of trees used by the model. By default None means no use the limit of the original model, and -1 means no limit. Returns ------- For models with a single output this returns a tensor of SHAP values (# samples x # features x # features). The matrix (# features x # features) for each sample sums to the difference between the model output for that sample and the expected value of the model output (which is stored in the expected_value attribute of the explainer). Each row of this matrix sums to the SHAP value for that feature for that sample. The diagonal entries of the matrix represent the "main effect" of that feature on the prediction and the symmetric off-diagonal entries represent the interaction effects between all pairs of features for that sample. For models with vector outputs this returns a list of tensors, one for each output. """ assert self.model_output == "margin", "Only model_output = \"margin\" is supported for SHAP interaction values right now!" assert self.feature_dependence == "tree_path_dependent", "Only feature_dependence = \"tree_path_dependent\" is supported for SHAP interaction values right now!" transform = "identity" # see if we have a default tree_limit in place. if tree_limit is None: tree_limit = -1 if self.model.tree_limit is None else self.model.tree_limit # shortcut using the C++ version of Tree SHAP in XGBoost if self.model.model_type == "xgboost": assert_import("xgboost") if not str(type(X)).endswith("xgboost.core.DMatrix'>"): X = xgboost.DMatrix(X) if tree_limit == -1: tree_limit = 0 phi = self.model.original_model.predict(X, ntree_limit=tree_limit, pred_interactions=True) # note we pull off the last column and keep it as our expected_value if len(phi.shape) == 4: self.expected_value = [phi[0, i, -1, -1] for i in range(phi.shape[1])] return [phi[:, i, :-1, :-1] for i in range(phi.shape[1])] else: self.expected_value = phi[0, -1, -1] return phi[:, :-1, :-1] # convert dataframes if str(type(X)).endswith("pandas.core.series.Series'>"): X = X.values elif str(type(X)).endswith("pandas.core.frame.DataFrame'>"): X = X.values flat_output = False if len(X.shape) == 1: flat_output = True X = X.reshape(1, X.shape[0]) if X.dtype != self.model.dtype: X = X.astype(self.model.dtype) X_missing = np.isnan(X, dtype=np.bool) assert str(type(X)).endswith("'numpy.ndarray'>"), "Unknown instance type: " + str(type(X)) assert len(X.shape) == 2, "Passed input data matrix X must have 1 or 2 dimensions!" if tree_limit < 0 or tree_limit > self.model.values.shape[0]: tree_limit = self.model.values.shape[0] # run the core algorithm using the C extension assert_import("cext") phi = np.zeros((X.shape[0], X.shape[1]+1, X.shape[1]+1, self.model.n_outputs)) _cext.dense_tree_shap( self.model.children_left, self.model.children_right, self.model.children_default, self.model.features, 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".", "model", ".", "n_outputs", ")", "]" ]	Estimate the SHAP interaction values for a set of samples. Parameters ---------- X : numpy.array, pandas.DataFrame or catboost.Pool (for catboost) A matrix of samples (# samples x # features) on which to explain the model's output. y : numpy.array An array of label values for each sample. Used when explaining loss functions (not yet supported). tree_limit : None (default) or int Limit the number of trees used by the model. By default None means no use the limit of the original model, and -1 means no limit. Returns ------- For models with a single output this returns a tensor of SHAP values (# samples x # features x # features). The matrix (# features x # features) for each sample sums to the difference between the model output for that sample and the expected value of the model output (which is stored in the expected_value attribute of the explainer). Each row of this matrix sums to the SHAP value for that feature for that sample. The diagonal entries of the matrix represent the "main effect" of that feature on the prediction and the symmetric off-diagonal entries represent the interaction effects between all pairs of features for that sample. For models with vector outputs this returns a list of tensors, one for each output.	[ "Estimate", "the", "SHAP", "interaction", "values", "for", "a", "set", "of", "samples", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/tree.py#L265-L358	train	Estimate the SHAP interaction values for a set of samples.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(2090 - 2040) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1565 - 1514) + chr(186 - 131), 0o10), ehT0Px3KOsy9(chr(1798 - 1750) + chr(0b10100 + 0o133) + chr(0b110010) + '\062' + chr(0b100001 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(1411 - 1356) + chr(0b100 + 0o55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111011 + 0o64) + chr(0b100010 + 0o17) + chr(48), 0o10), ehT0Px3KOsy9(chr(431 - 383) + chr(0b1011111 + 0o20) + chr(0b110010) + '\x36' + chr(0b110000), 32979 - 32971), ehT0Px3KOsy9(chr(0b110000) + chr(0b100000 + 0o117) + chr(49) + '\063' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\x33', 50505 - 50497), ehT0Px3KOsy9('\x30' + chr(0b1101 + 0o142) + chr(49) + chr(0b110100) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(838 - 790) + '\x6f' + chr(51) + chr(0b10011 + 0o41), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110 + 0o55) + '\x31' + chr(56 - 8), 28717 - 28709), ehT0Px3KOsy9(chr(0b110000) + chr(1333 - 1222) + chr(50) + '\060', 0b1000), ehT0Px3KOsy9(chr(907 - 859) + '\157' + '\063' + chr(0b110101) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100010 + 0o17) + chr(0b101 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(52) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b101100 + 0o10) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(185 - 137) + '\x6f' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1478 - 1427) + chr(52) + chr(0b110100), 15480 - 15472), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\x34' + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + chr(0b110001) + '\x36', 32465 - 32457), ehT0Px3KOsy9(chr(762 - 714) + chr(8818 - 8707) + chr(0b100 + 0o57) + chr(1778 - 1724) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100001 + 0o24) + chr(434 - 386), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(0b11110 + 0o24) + chr(676 - 626) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1460 - 1412) + '\157' + '\x31' + '\067' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(2490 - 2435) + '\061', 8), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(7157 - 7046) + chr(1784 - 1735) + chr(0b11100 + 0o30), 8), ehT0Px3KOsy9(chr(585 - 537) + '\x6f' + chr(0b110011) + chr(51) + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101 + 0o152) + '\x32' + chr(50) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + '\061' + chr(166 - 118) + chr(53), 0o10), ehT0Px3KOsy9(chr(1217 - 1169) + '\157' + chr(249 - 198) + chr(1322 - 1270) + '\x33', 16203 - 16195), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(2579 - 2525) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(587 - 536) + chr(52) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2348 - 2297) + chr(51) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + '\x33' + chr(2238 - 2187), 0o10), ehT0Px3KOsy9(chr(1913 - 1865) + '\x6f' + '\062' + chr(50) + '\065', 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(2497 - 2386) + chr(0b11 + 0o63) + chr(0b1101 + 0o46), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001001 + 0o46) + chr(51) + chr(1619 - 1565) + chr(0b110111 + 0o0), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8622 - 8511) + chr(1197 - 1148) + '\x36' + '\062', 1892 - 1884), ehT0Px3KOsy9(chr(2090 - 2042) + '\157' + '\061' + '\061' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1297 - 1246) + chr(48) + chr(788 - 736), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + '\x35' + chr(1087 - 1039), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'8'), chr(0b1100100) + chr(3025 - 2924) + chr(99) + chr(111) + '\x64' + chr(0b100 + 0o141))(chr(117) + '\x74' + chr(0b11011 + 0o113) + '\055' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def da8Cw5V6m17Q(oVre8I6UXc3b, xEgrFJ0REugl, SqiSOtYOqOJH=None, om2D6HhkyzLU=None): assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'{p\xf0\xdcd\xef1~\x13l\xbdd'), '\144' + chr(101) + '\x63' + chr(0b110111 + 0o70) + '\x64' + '\x65')(chr(0b1001110 + 0o47) + '\x74' + '\146' + '\x2d' + chr(898 - 842))) == xafqLlk3kkUe(SXOLrMavuUCe(b'{~\xe6\xdea\xde'), '\144' + chr(0b11110 + 0o107) + '\x63' + '\x6f' + chr(0b1100100) + '\145')(chr(117) + '\x74' + '\x66' + chr(0b101101) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'Yq\xf8\xc0(\xdd1o\x02p\x97\x7f\x9dxU\xd0t\xc4_.\xd7E\xf2\x0b\xdee\xb1\xb2e\x8a\x05\xc0\xadn\xe5C\x98\x00?\xa1r?\xf2\xd6z\x90\rC&L\xe8y\x86x@\xd7a\x87\x16g\x9aF\xb3\x0f\xd8`\xaa\xf56\xc3\x04\x89\xb9s\xe1\x13\x99\x1d<\xe5'), '\144' + '\145' + chr(99) + chr(111) + '\x64' + chr(7158 - 7057))('\x75' + chr(116) + chr(102) + chr(1352 - 1307) + chr(0b111000)) assert xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'pz\xf5\xcd}\xc2;T\x03y\xb8u\x86h@\xcbc\x81'), '\x64' + chr(8360 - 8259) + '\x63' + '\157' + chr(0b101011 + 0o71) + '\145')(chr(0b1110010 + 0o3) + '\164' + chr(1064 - 962) + chr(1554 - 1509) + chr(0b1010 + 0o56))) == xafqLlk3kkUe(SXOLrMavuUCe(b'bm\xf1\xdcW\xc0?\x7f\x0fC\xacu\x98iK\xc1e\x8a\x16'), chr(0b1100100) + '\x65' + chr(6015 - 5916) + chr(0b11110 + 0o121) + '\144' + chr(0b1001 + 0o134))('\165' + chr(12171 - 12055) + chr(0b1100110) + chr(0b101101) + chr(0b101111 + 0o11)), xafqLlk3kkUe(SXOLrMavuUCe(b'Yq\xf8\xc0(\xd6;j\x13i\xbau\xb7h@\xd5e\x8a\x06k\x9bK\xf6Y\x84,\xfd\xe47\x86\x13\xbf\xaez\xe1[\xa8\x16.\xb4sq\xf0\xdcf\xc4\|+\x0eo\xe8c\x9d\|U\xcar\x90\x07j\xd5N\xfc\x0b\x99_\x97\xd1\x15\xc3\x1f\x8e\xaa~\xe7R\x94\x06"\xabx?\xe2\xd8d\xc5;xGn\xa1w\x80x\x05\xcbo\x93C'), chr(0b1010001 + 0o23) + chr(1313 - 1212) + chr(4122 - 4023) + chr(0b1101111) + chr(100) + '\x65')(chr(0b1010010 + 0o43) + chr(4513 - 4397) + '\146' + chr(0b101101) + chr(0b10111 + 0o41)) ASNeIOBhze_M = xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f{\xf1\xd7\|\xd9r'), chr(7859 - 7759) + chr(7535 - 7434) + '\x63' + chr(111) + chr(0b1100100) + '\145')(chr(117) + chr(0b1011000 + 0o34) + '\x66' + chr(1508 - 1463) + chr(0b111000 + 0o0)) if om2D6HhkyzLU is None: om2D6HhkyzLU = -ehT0Px3KOsy9(chr(190 - 142) + chr(4559 - 4448) + chr(0b110001), 0o10) if oVre8I6UXc3b.model.tree_limit is None else oVre8I6UXc3b.model.tree_limit if xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'{p\xf0\xdcd\xefr\x17y'), chr(0b1100100) + chr(0b110001 + 0o64) + chr(0b1100011) + '\x6f' + '\144' + chr(2301 - 2200))(chr(0b1110101) + chr(0b111011 + 0o71) + chr(102) + '\x2d' + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'nx\xf6\xd6g\xc3'), chr(6750 - 6650) + chr(8008 - 7907) + chr(99) + chr(111) + chr(100) + chr(0b1100101))('\x75' + chr(116) + chr(276 - 174) + '\055' + '\x38'): LxkgAWKkJQrK(xafqLlk3kkUe(SXOLrMavuUCe(b'nx\xf6\xd6g\xc3'), chr(0b1001001 + 0o33) + chr(10112 - 10011) + '\143' + chr(4804 - 4693) + '\x64' + '\145')(chr(117) + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b111000))) if not xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b'sq\xf0\xca\x7f\xd9c'), chr(100) + '\x65' + chr(0b1000101 + 0o36) + chr(0b1100 + 0o143) + chr(100) + chr(101))('\165' + chr(116) + chr(0b1100110) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'nx\xf6\xd6g\xc3%\x04s\xbau\xc6Hh\xc4t\x96\x0bv\xd2\x16'), chr(0b1100100) + '\145' + chr(0b1100011 + 0o0) + chr(0b1101111) + chr(0b1100100) + chr(6883 - 6782))(chr(0b1110101) + '\x74' + '\x66' + '\055' + '\070')): xEgrFJ0REugl = NKmEqkybnax6.DMatrix(xEgrFJ0REugl) if om2D6HhkyzLU == -ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31', 8): om2D6HhkyzLU = ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101000 + 0o10), 8) IOGtkN7op9UY = oVre8I6UXc3b.model.original_model.POyImYQwg5VB(xEgrFJ0REugl, ntree_limit=om2D6HhkyzLU, pred_interactions=ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100010 + 0o17), 8)) if c2A0yzQpDQB3(xafqLlk3kkUe(IOGtkN7op9UY, xafqLlk3kkUe(SXOLrMavuUCe(b'x~\xe1\xe0n\xfc9g3l\xabr'), chr(100) + '\x65' + chr(728 - 629) + chr(10464 - 10353) + chr(5349 - 5249) + '\145')(chr(0b1110101) + chr(13215 - 13099) + chr(0b1100110) + chr(465 - 420) + '\x38'))) == ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1969 - 1917), 0b1000): oVre8I6UXc3b.e8FN4Cku5bId = [IOGtkN7op9UY[ehT0Px3KOsy9(chr(2155 - 2107) + chr(0b111100 + 0o63) + '\x30', 8), WVxHKyX45z_L, -ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11110 + 0o23), 8), -ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1000 + 0o51), 8)] for WVxHKyX45z_L in vQr8gNKaIaWE(IOGtkN7op9UY.nauYfLglTpcb[ehT0Px3KOsy9('\x30' + '\x6f' + '\x31', 8)])] return [IOGtkN7op9UY[:, WVxHKyX45z_L, :-ehT0Px3KOsy9('\x30' + chr(0b1000000 + 0o57) + chr(683 - 634), 8), :-ehT0Px3KOsy9(chr(0b110000) + chr(0b1010011 + 0o34) + '\x31', 8)] for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(IOGtkN7op9UY, xafqLlk3kkUe(SXOLrMavuUCe(b'x~\xe1\xe0n\xfc9g3l\xabr'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1001 + 0o133) + chr(1994 - 1893))(chr(117) + chr(0b1011011 + 0o31) + '\146' + chr(0b1001 + 0o44) + '\070'))[ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + chr(49), 8)])] else: oVre8I6UXc3b.e8FN4Cku5bId = IOGtkN7op9UY[ehT0Px3KOsy9(chr(578 - 530) + chr(2234 - 2123) + chr(48), 8), -ehT0Px3KOsy9('\x30' + chr(111) + '\061', 8), -ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(0b110001), 8)] return IOGtkN7op9UY[:, :-ehT0Px3KOsy9('\x30' + chr(4641 - 4530) + chr(1110 - 1061), 8), :-ehT0Px3KOsy9(chr(48) + '\157' + '\x31', 8)] if xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b'sq\xf0\xca\x7f\xd9c'), chr(0b1100100) + chr(6187 - 6086) + '\x63' + '\x6f' + '\144' + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b110100 + 0o4)))(xafqLlk3kkUe(SXOLrMavuUCe(b'f~\xfa\xddi\xc3ph\x08n\xad>\x9biW\xcce\x97L]\x90Z\xfa\x1c\xca+\xe1'), '\x64' + '\x65' + '\x63' + chr(0b111010 + 0o65) + chr(9402 - 9302) + chr(6570 - 6469))(chr(5689 - 5572) + '\x74' + chr(0b1001000 + 0o36) + chr(0b100110 + 0o7) + chr(56))): xEgrFJ0REugl = xEgrFJ0REugl.SPnCNu54H1db elif xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b'sq\xf0\xca\x7f\xd9c'), chr(0b11111 + 0o105) + chr(0b1010100 + 0o21) + chr(99) + chr(111) + chr(0b1010110 + 0o16) + chr(0b1100101))(chr(117) + chr(0b1000010 + 0o62) + chr(0b1100110) + chr(0b101101 + 0o0) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'f~\xfa\xddi\xc3ph\x08n\xad>\x8e~D\xc8e\xca&o\x81I\xd5\x0b\xd8a\xba\xb7{'), '\144' + '\x65' + '\x63' + chr(0b111000 + 0o67) + '\x64' + chr(0b1100101))('\165' + chr(0b1110100) + chr(102) + '\055' + chr(0b1101 + 0o53))): xEgrFJ0REugl = xEgrFJ0REugl.SPnCNu54H1db eHR9O2LGSiYd = ehT0Px3KOsy9('\060' + chr(111) + chr(2304 - 2256), 8) if c2A0yzQpDQB3(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'x~\xe1\xe0n\xfc9g3l\xabr'), chr(9371 - 9271) + '\x65' + '\x63' + chr(0b1101111) + '\144' + chr(10000 - 9899))('\165' + chr(0b10110 + 0o136) + '\x66' + '\055' + chr(56)))) == ehT0Px3KOsy9('\x30' + '\157' + '\x31', 8): eHR9O2LGSiYd = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1717 - 1668), 8) xEgrFJ0REugl = xEgrFJ0REugl.reshape(ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100010 + 0o17), 8), xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9('\x30' + chr(4091 - 3980) + chr(0b100100 + 0o14), 8)]) if xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\|L\xc2\x80A\xfb0n\nT\xff['), chr(100) + chr(101) + chr(6903 - 6804) + chr(12145 - 12034) + '\x64' + chr(101))('\x75' + chr(116) + chr(0b10000 + 0o126) + '\055' + '\x38')) != xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\|L\xc2\x80A\xfb0n\nT\xff['), '\x64' + chr(101) + '\143' + chr(0b10111 + 0o130) + chr(100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(9049 - 8947) + '\055' + chr(56))): xEgrFJ0REugl = xEgrFJ0REugl.astype(oVre8I6UXc3b.model.jSV9IKnemH7K) thVLhtlXVOER = WqUC3KWvYVup.isnan(xEgrFJ0REugl, dtype=WqUC3KWvYVup.bool) assert xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b'sq\xf0\xca\x7f\xd9c'), chr(4832 - 4732) + chr(101) + chr(0b11111 + 0o104) + '\157' + chr(0b101100 + 0o70) + chr(101))(chr(0b1110101) + '\x74' + '\146' + chr(1607 - 1562) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'1q\xe1\xd4x\xc9pe\x03}\xbab\x89u\x02\x9b'), chr(0b110010 + 0o62) + chr(101) + '\143' + '\x6f' + chr(100) + '\145')(chr(11244 - 11127) + chr(0b1110100) + '\x66' + chr(45) + chr(0b10010 + 0o46))), xafqLlk3kkUe(SXOLrMavuUCe(b'Cq\xff\xd7g\xc70+\x0er\xbbd\x89bF\xc0 \x90\x1b~\x90\x12\xb3'), chr(0b1001 + 0o133) + chr(0b1001 + 0o134) + chr(5886 - 5787) + chr(0b1101111) + chr(100) + chr(0b1010001 + 0o24))(chr(0b1110101) + chr(0b1110100) + chr(6326 - 6224) + '\x2d' + chr(0b101100 + 0o14)) + M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)) assert c2A0yzQpDQB3(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'x~\xe1\xe0n\xfc9g3l\xabr'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(0b1010000 + 0o37) + chr(100) + '\x65')(chr(955 - 838) + '\x74' + chr(0b1100110) + '\055' + chr(1242 - 1186)))) == ehT0Px3KOsy9(chr(48) + chr(7183 - 7072) + chr(1442 - 1392), 0b1000), xafqLlk3kkUe(SXOLrMavuUCe(b'F~\xe7\xcam\xd4~b\tl\xbdd\xc8hD\xd1a\xc4\x0fo\x81Z\xfa\x01\x99T\xff\xfd0\x90\x02\xc0\xb6z\xe3V\xd7Ck\xabd?\xa6\x99l\xd93n\to\xa1\x7f\x86\x7f\x04'), chr(100) + '\145' + '\143' + chr(10840 - 10729) + chr(0b1100100) + '\x65')(chr(0b1110101) + '\164' + '\x66' + '\055' + '\x38') if om2D6HhkyzLU < ehT0Px3KOsy9(chr(48) + chr(111) + chr(48), 8) or om2D6HhkyzLU > xafqLlk3kkUe(oVre8I6UXc3b.model.values, xafqLlk3kkUe(SXOLrMavuUCe(b'x~\xe1\xe0n\xfc9g3l\xabr'), chr(4983 - 4883) + '\145' + chr(0b1010010 + 0o21) + chr(0b1000010 + 0o55) + chr(100) + chr(0b1111 + 0o126))(chr(117) + chr(116) + chr(102) + '\055' + chr(239 - 183)))[ehT0Px3KOsy9('\x30' + chr(0b111011 + 0o64) + chr(1123 - 1075), 8)]: om2D6HhkyzLU = oVre8I6UXc3b.model.values.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(48), 8)] LxkgAWKkJQrK(xafqLlk3kkUe(SXOLrMavuUCe(b'uz\xec\xcd'), chr(100) + chr(4296 - 4195) + '\143' + '\x6f' + chr(100) + '\x65')(chr(117) + chr(0b1000010 + 0o62) + '\x66' + chr(45) + chr(0b101000 + 0o20))) IOGtkN7op9UY = WqUC3KWvYVup.zeros((xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(1193 - 1145) + '\157' + '\060', 8)], xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001), 8)] + ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(0b10111 + 0o32), 8), xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(383 - 335) + chr(0b101 + 0o152) + chr(0b110001), 8)] + ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1171 - 1122), 8), oVre8I6UXc3b.model.n_outputs)) xafqLlk3kkUe(en9DilJiFjXV, xafqLlk3kkUe(SXOLrMavuUCe(b'rz\xfa\xcam\xefy\x02y\x97c\x80mU'), '\144' + '\x65' + '\x63' + '\x6f' + chr(0b1100100) + chr(101))('\165' + chr(2009 - 1893) + chr(1789 - 1687) + chr(1386 - 1341) + chr(56)))(xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'uw\xfd\xd5l\xc2;e8p\xadv\x9c'), '\144' + '\145' + '\143' + chr(0b101111 + 0o100) + chr(2671 - 2571) + chr(0b1100101))('\165' + chr(116) + '\146' + chr(0b100000 + 0o15) + chr(0b111000))), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'uw\xfd\xd5l\xc2;e8n\xa1w\x80x'), chr(0b111101 + 0o47) + chr(0b100010 + 0o103) + chr(0b1100011) + '\x6f' + '\x64' + '\145')(chr(0b110101 + 0o100) + '\x74' + '\146' + '\055' + chr(56))), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'uw\xfd\xd5l\xc2;e8x\xadv\x89yI\xd1'), '\x64' + chr(0b101100 + 0o71) + '\143' + chr(2525 - 2414) + chr(0b1100100) + chr(9098 - 8997))(chr(117) + chr(116) + chr(2918 - 2816) + '\x2d' + '\070')), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'pz\xf5\xcd}\xc2;x'), '\144' + chr(0b1100101) + chr(4672 - 4573) + chr(3683 - 3572) + '\144' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b11011 + 0o113) + chr(0b100001 + 0o14) + chr(2992 - 2936))), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'bw\xe6\xdc{\xd81g\x03o'), '\144' + '\x65' + chr(0b1100011) + '\x6f' + '\x64' + '\145')('\165' + chr(1527 - 1411) + '\146' + '\x2d' + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'EO\xfa\xfaF\xc5k?/-\xacr'), chr(9037 - 8937) + chr(0b1100101) + '\143' + '\157' + chr(100) + chr(101))(chr(0b1110101) + chr(0b1000001 + 0o63) + chr(0b110001 + 0o65) + '\x2d' + '\070')), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'xp\xf0\xdcW\xc3?f\x17p\xadO\x9fiL\xc2h\x90'), chr(1662 - 1562) + chr(1270 - 1169) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(117) + '\164' + chr(102) + '\x2d' + chr(56))), xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'{~\xec\xe6l\xd5.\x7f\x0f'), chr(0b1100100) + '\145' + '\x63' + '\157' + chr(0b1 + 0o143) + chr(0b1010011 + 0o22))('\x75' + chr(0b11 + 0o161) + chr(0b11101 + 0o111) + '\055' + '\070')), xEgrFJ0REugl, thVLhtlXVOER, SqiSOtYOqOJH, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'CS\xfa\xd3x\x86\x1a=\x02z\x8eX'), chr(100) + '\145' + chr(0b1100011) + '\157' + chr(0b1010 + 0o132) + chr(0b1100101))('\x75' + chr(116) + chr(0b11010 + 0o114) + chr(1008 - 963) + chr(0b111000))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'r~\xe0\xd8W\xdd7x\x14u\xa6w'), chr(0b1100100) + chr(5822 - 5721) + chr(259 - 160) + chr(0b1101111) + chr(5168 - 5068) + '\145')(chr(0b1101010 + 0o13) + chr(116) + chr(102) + chr(0b101101) + '\x38')), om2D6HhkyzLU, xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b't~\xe7\xdcW\xdf8m\x14y\xbc'), chr(4349 - 4249) + chr(0b1011100 + 0o11) + '\x63' + chr(0b1101001 + 0o6) + chr(100) + chr(0b1000000 + 0o45))('\165' + chr(0b1101011 + 0o11) + chr(102) + chr(1113 - 1068) + '\070')), IOGtkN7op9UY, sAbxG_qILi62[xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'pz\xf5\xcd}\xc2;T\x03y\xb8u\x86h@\xcbc\x81'), '\144' + chr(0b1011110 + 0o7) + chr(0b10010 + 0o121) + chr(111) + '\x64' + '\145')('\165' + chr(2861 - 2745) + chr(102) + chr(888 - 843) + '\070'))], uGxUraH1qunB[ASNeIOBhze_M], ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49), 8)) if xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'x@\xfb\xcc\|\xc0+\x7f\x14'), chr(100) + chr(101) + chr(0b1100011) + chr(0b111110 + 0o61) + chr(104 - 4) + '\x65')('\165' + '\x74' + chr(149 - 47) + '\055' + chr(56))) == ehT0Px3KOsy9(chr(1093 - 1045) + chr(0b1001010 + 0o45) + chr(0b1 + 0o60), 8): oVre8I6UXc3b.e8FN4Cku5bId = IOGtkN7op9UY[ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000), 8), -ehT0Px3KOsy9(chr(1666 - 1618) + chr(8918 - 8807) + chr(181 - 132), 8), -ehT0Px3KOsy9(chr(0b110000) + chr(0b1000010 + 0o55) + '\061', 8), ehT0Px3KOsy9(chr(2066 - 2018) + chr(111) + chr(0b110000), 8)] if eHR9O2LGSiYd: return IOGtkN7op9UY[ehT0Px3KOsy9('\060' + '\157' + chr(0b110000), 8), :-ehT0Px3KOsy9(chr(0b110000) + chr(127 - 16) + chr(0b11001 + 0o30), 8), :-ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11 + 0o56), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x30', 8)] else: return IOGtkN7op9UY[:, :-ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49), 8), :-ehT0Px3KOsy9(chr(1940 - 1892) + chr(0b1100011 + 0o14) + chr(0b10001 + 0o40), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(48), 8)] else: oVre8I6UXc3b.e8FN4Cku5bId = [IOGtkN7op9UY[ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\060', 8), -ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101111 + 0o2), 8), -ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001), 8), WVxHKyX45z_L] for WVxHKyX45z_L in vQr8gNKaIaWE(IOGtkN7op9UY.nauYfLglTpcb[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011), 0b1000)])] if eHR9O2LGSiYd: return [IOGtkN7op9UY[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\060', 8), :-ehT0Px3KOsy9('\x30' + chr(0b1000 + 0o147) + '\x31', 8), :-ehT0Px3KOsy9('\x30' + '\157' + '\x31', 8), WVxHKyX45z_L] for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'x@\xfb\xcc\|\xc0+\x7f\x14'), chr(0b1100100) + '\x65' + '\143' + chr(0b1101111) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(1552 - 1507) + '\070')))] else: return [IOGtkN7op9UY[:, :-ehT0Px3KOsy9(chr(48) + chr(6099 - 5988) + '\061', 8), :-ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + '\061', 8), WVxHKyX45z_L] for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(oVre8I6UXc3b.model, xafqLlk3kkUe(SXOLrMavuUCe(b'x@\xfb\xcc\|\xc0+\x7f\x14'), chr(9469 - 9369) + '\145' + chr(99) + '\x6f' + chr(0b1011010 + 0o12) + chr(3203 - 3102))(chr(0b1011101 + 0o30) + chr(0b110101 + 0o77) + chr(0b100111 + 0o77) + '\055' + chr(2935 - 2879))))]
slundberg/shap	shap/explainers/tree.py	TreeEnsemble.get_transform	def get_transform(self, model_output): """ A consistent interface to make predictions from this model. """ if model_output == "margin": transform = "identity" elif model_output == "probability": if self.tree_output == "log_odds": transform = "logistic" elif self.tree_output == "probability": transform = "identity" else: raise Exception("model_output = \"probability\" is not yet supported when model.tree_output = \"" + self.tree_output + "\"!") elif model_output == "logloss": if self.objective == "squared_error": transform = "squared_loss" elif self.objective == "binary_crossentropy": transform = "logistic_nlogloss" else: raise Exception("model_output = \"logloss\" is not yet supported when model.objective = \"" + self.objective + "\"!") return transform	python	def get_transform(self, model_output): """ A consistent interface to make predictions from this model. """ if model_output == "margin": transform = "identity" elif model_output == "probability": if self.tree_output == "log_odds": transform = "logistic" elif self.tree_output == "probability": transform = "identity" else: raise Exception("model_output = \"probability\" is not yet supported when model.tree_output = \"" + self.tree_output + "\"!") elif model_output == "logloss": if self.objective == "squared_error": transform = "squared_loss" elif self.objective == "binary_crossentropy": transform = "logistic_nlogloss" else: raise Exception("model_output = \"logloss\" is not yet supported when model.objective = \"" + self.objective + "\"!") return transform	[ "def", "get_transform", "(", "self", ",", "model_output", ")", ":", "if", "model_output", "==", "\"margin\"", ":", "transform", "=", "\"identity\"", "elif", "model_output", "==", "\"probability\"", ":", "if", "self", ".", "tree_output", "==", "\"log_odds\"", ":", "transform", "=", "\"logistic\"", "elif", "self", ".", "tree_output", "==", "\"probability\"", ":", "transform", "=", "\"identity\"", "else", ":", "raise", "Exception", "(", "\"model_output = \\\"probability\\\" is not yet supported when model.tree_output = \\\"\"", "+", "self", ".", "tree_output", "+", "\"\\\"!\"", ")", "elif", "model_output", "==", "\"logloss\"", ":", "if", "self", ".", "objective", "==", "\"squared_error\"", ":", "transform", "=", "\"squared_loss\"", "elif", "self", ".", "objective", "==", "\"binary_crossentropy\"", ":", "transform", "=", "\"logistic_nlogloss\"", "else", ":", "raise", "Exception", "(", "\"model_output = \\\"logloss\\\" is not yet supported when model.objective = \\\"\"", "+", "self", ".", "objective", "+", "\"\\\"!\"", ")", "return", "transform" ]	A consistent interface to make predictions from this model.	[ "A", "consistent", "interface", "to", "make", "predictions", "from", "this", "model", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/tree.py#L633-L653	train	A consistent interface to make predictions from this model.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(1178 - 1127) + '\065' + '\067', 8122 - 8114), ehT0Px3KOsy9('\060' + chr(743 - 632) + chr(1925 - 1875) + chr(1229 - 1179) + chr(2610 - 2558), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1104 - 993) + chr(0b110001) + chr(53) + chr(0b101010 + 0o13), 63339 - 63331), ehT0Px3KOsy9(chr(506 - 458) + '\x6f' + chr(654 - 603), 49671 - 49663), ehT0Px3KOsy9(chr(48) + '\157' + chr(1145 - 1094) + '\x34' + chr(54), 3652 - 3644), ehT0Px3KOsy9(chr(48) + '\157' + '\x37' + chr(0b110100), 5597 - 5589), ehT0Px3KOsy9(chr(0b110000) + chr(9323 - 9212) + chr(743 - 694) + chr(48) + '\064', 0o10), ehT0Px3KOsy9(chr(402 - 354) + chr(111) + chr(0b110011) + '\x37' + chr(0b101010 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111010 + 0o65) + chr(1008 - 957) + chr(2028 - 1974) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(927 - 877) + chr(0b110111) + chr(0b10100 + 0o42), 0b1000), ehT0Px3KOsy9('\060' + chr(11098 - 10987) + chr(0b100101 + 0o15) + '\x37' + chr(175 - 120), 0b1000), ehT0Px3KOsy9(chr(1033 - 985) + '\157' + '\063' + chr(0b110111) + chr(0b10011 + 0o37), 0b1000), ehT0Px3KOsy9(chr(332 - 284) + chr(0b1101111) + chr(0b1011 + 0o51) + chr(1298 - 1246), 28077 - 28069), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x33' + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(364 - 314) + chr(54) + '\x37', 17765 - 17757), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b110010) + '\x35' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\x31' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(534 - 486) + chr(4082 - 3971) + chr(51) + chr(769 - 721) + chr(1391 - 1341), 9751 - 9743), ehT0Px3KOsy9(chr(1991 - 1943) + chr(0b1100010 + 0o15) + '\x30', 23883 - 23875), ehT0Px3KOsy9(chr(0b110000) + chr(10334 - 10223) + chr(0b10110 + 0o33) + chr(0b10000 + 0o46) + chr(0b10111 + 0o37), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\062' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b10001 + 0o136) + '\062' + '\x32' + chr(0b100 + 0o56), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\x33' + chr(134 - 85), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1111 + 0o42) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1926 - 1878) + chr(0b110100 + 0o73) + chr(0b110001) + chr(0b1000 + 0o50) + chr(0b100000 + 0o27), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2599 - 2488) + chr(2187 - 2136) + chr(0b110100) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1308 - 1260) + chr(0b10111 + 0o130) + chr(0b1101 + 0o44) + chr(714 - 666) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(2301 - 2247), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + '\x33' + chr(0b110101) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1001 + 0o54) + chr(0b110000), 23333 - 23325), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(55) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b110000) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(460 - 412) + chr(0b1101111) + '\063' + '\065' + chr(0b0 + 0o62), 50063 - 50055), ehT0Px3KOsy9(chr(1392 - 1344) + '\157' + '\064' + '\061', 30251 - 30243), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(52) + chr(0b0 + 0o61), 27359 - 27351), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10000 + 0o41) + '\x37' + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(11064 - 10953) + '\063' + chr(0b110100) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b110110), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(8029 - 7918) + chr(53) + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1'), chr(7549 - 7449) + '\145' + chr(4214 - 4115) + chr(111) + chr(0b1100100) + '\145')(chr(117) + chr(6410 - 6294) + '\146' + chr(0b10110 + 0o27) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def fWimz79U6RFA(oVre8I6UXc3b, j7gfMTsGRqVp): if j7gfMTsGRqVp == xafqLlk3kkUe(SXOLrMavuUCe(b'\x82\xf5\x1fd\x8fR'), chr(0b1100100) + chr(101) + chr(3732 - 3633) + chr(111) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1100001 + 0o23) + '\146' + chr(132 - 87) + '\070'): ASNeIOBhze_M = xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\xf0\x08m\x92U0\x84'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1010000 + 0o37) + chr(8097 - 7997) + chr(101))('\165' + chr(6346 - 6230) + '\x66' + chr(0b101101) + '\070') elif j7gfMTsGRqVp == xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\xe6\x02a\x87^-\x91\x9a\xca\xc6'), chr(9000 - 8900) + chr(3841 - 3740) + chr(0b1100011) + chr(0b101101 + 0o102) + chr(1037 - 937) + chr(9326 - 9225))(chr(0b1110101) + chr(116) + chr(102) + chr(0b101101) + '\070'): if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\xe6\x08f\xb9S1\x89\x83\xcb\xcb'), chr(100) + chr(101) + '\143' + chr(1352 - 1241) + chr(8742 - 8642) + '\145')(chr(5255 - 5138) + chr(10240 - 10124) + chr(0b100 + 0o142) + '\x2d' + chr(1212 - 1156))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\xfb\n\\\x89X \x8e'), chr(9587 - 9487) + chr(0b1000001 + 0o44) + chr(3420 - 3321) + '\157' + chr(3978 - 3878) + '\x65')('\165' + '\x74' + chr(102) + chr(1710 - 1665) + chr(0b100000 + 0o30)): ASNeIOBhze_M = xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\xfb\nj\x95H-\x9e'), '\x64' + chr(5825 - 5724) + chr(99) + '\x6f' + chr(100) + '\x65')(chr(0b1110101) + '\x74' + chr(0b101100 + 0o72) + chr(1741 - 1696) + chr(745 - 689)) elif xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\xe6\x08f\xb9S1\x89\x83\xcb\xcb'), chr(0b101010 + 0o72) + '\145' + chr(0b100111 + 0o74) + chr(0b1101111) + chr(0b1001001 + 0o33) + '\145')(chr(117) + chr(11074 - 10958) + chr(0b101110 + 0o70) + chr(0b101101) + chr(56))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f\xe6\x02a\x87^-\x91\x9a\xca\xc6'), '\144' + chr(0b101011 + 0o72) + chr(99) + '\x6f' + '\x64' + chr(2999 - 2898))(chr(117) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(56)): ASNeIOBhze_M = xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\xf0\x08m\x92U0\x84'), '\x64' + chr(1182 - 1081) + chr(6078 - 5979) + chr(0b1101111 + 0o0) + chr(9659 - 9559) + chr(2496 - 2395))(chr(0b1110101) + chr(116) + '\x66' + '\055' + chr(56)) else: raise jLmadlzMdunT(xafqLlk3kkUe(SXOLrMavuUCe(b'\x82\xfb\tf\x8ac+\x88\x87\xce\xca\x8e\x04\xe5\x97\x8d\xba\xb0o\x141\xf0s\xb5`z>\xc3aw\x9d\x08U\xef\x9e\x01\x18\x19\x96>\x9c\xe1\x1ds\x89N0\x98\x97\x9e\xc8\x92A\xb6\x97\xc2\xa5\xa6e\x1a~\xe6h\xbclQ(\x945n\x9b\\\x1b\xbd\xca\x03'), chr(0b1100100) + '\x65' + chr(0b11001 + 0o112) + '\x6f' + chr(0b100011 + 0o101) + '\145')(chr(5875 - 5758) + chr(9131 - 9015) + '\x66' + chr(0b10000 + 0o35) + '\070') + xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\xe6\x08f\xb9S1\x89\x83\xcb\xcb'), chr(0b1011110 + 0o6) + chr(0b1101 + 0o130) + chr(99) + chr(0b1001100 + 0o43) + chr(3919 - 3819) + '\145')(chr(0b101 + 0o160) + chr(116) + chr(102) + '\055' + chr(56))) + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xb5'), '\x64' + '\x65' + '\143' + chr(0b110100 + 0o73) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(4285 - 4169) + '\x66' + '\055' + chr(56))) elif j7gfMTsGRqVp == xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\xfb\no\x89O7'), '\144' + chr(0b1100101) + '\143' + '\157' + '\x64' + chr(101))(chr(0b111001 + 0o74) + '\164' + chr(102) + '\x2d' + chr(56)): if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\xedUH\xabo>\xaf\x92\xd8\xeb\x95'), chr(0b1100100) + '\145' + chr(0b1010111 + 0o14) + '\x6f' + '\144' + '\145')(chr(117) + chr(0b1101111 + 0o5) + chr(7179 - 7077) + chr(0b101100 + 0o1) + '\070')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xe5\x18b\x94Y \xa2\x96\xcc\xcd\x95V'), chr(0b100010 + 0o102) + chr(536 - 435) + '\143' + '\x6f' + '\144' + '\x65')(chr(0b100000 + 0o125) + chr(0b11100 + 0o130) + chr(0b111100 + 0o52) + chr(0b101101) + chr(0b110100 + 0o4)): ASNeIOBhze_M = xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\xe5\x18b\x94Y \xa2\x9f\xd1\xcc\x89'), '\144' + chr(101) + '\x63' + '\157' + '\144' + chr(0b1100101))('\165' + '\x74' + '\146' + '\x2d' + '\070') elif xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\xedUH\xabo>\xaf\x92\xd8\xeb\x95'), '\144' + '\x65' + '\x63' + '\x6f' + '\x64' + chr(0b110011 + 0o62))('\165' + chr(9941 - 9825) + chr(9539 - 9437) + '\x2d' + chr(0b111000))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\xfd\x03b\x94E\x1b\x9e\x81\xd1\xcc\x89A\xb6\xc3\xdd\xa5\xb2y'), chr(0b1100100) + '\145' + chr(6439 - 6340) + chr(111) + chr(0b1100100) + '\145')(chr(12120 - 12003) + chr(0b1110100) + chr(893 - 791) + '\x2d' + chr(0b111000)): ASNeIOBhze_M = xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\xfb\nj\x95H-\x9e\xac\xd0\xd3\x95C\xb4\xd8\xdc\xb9'), chr(0b1011100 + 0o10) + chr(6138 - 6037) + chr(0b1100011) + '\157' + '\144' + chr(0b1100101))(chr(0b111101 + 0o70) + '\164' + chr(0b1100110) + chr(99 - 54) + chr(1257 - 1201)) else: raise jLmadlzMdunT(xafqLlk3kkUe(SXOLrMavuUCe(b'\x82\xfb\tf\x8ac+\x88\x87\xce\xca\x8e\x04\xe5\x97\x8d\xa6\xadg\x1a?\xe1i\xfb)g4\xc1/q\x9a\x08B\xe5\x9e\x01\x12\t\x92n\x80\xe6\x19f\x82\x1c3\x95\x96\xd0\x9f\x97K\xbc\xd2\xc3\xe4\xadb\x1c5\xf1n\xb0\x7fkg\xdca<'), '\x64' + chr(0b11 + 0o142) + chr(0b1100011) + '\x6f' + chr(100) + '\145')(chr(117) + '\x74' + chr(0b1100101 + 0o1) + chr(0b101101) + '\x38') + xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\xedUH\xabo>\xaf\x92\xd8\xeb\x95'), '\x64' + chr(101) + chr(9280 - 9181) + chr(3759 - 3648) + chr(100) + chr(0b101001 + 0o74))('\165' + chr(116) + '\x66' + chr(45) + '\x38')) + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xb5'), chr(100) + '\145' + '\x63' + chr(606 - 495) + chr(100) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b111011 + 0o53) + chr(0b10110 + 0o27) + chr(0b100001 + 0o27))) return ASNeIOBhze_M
slundberg/shap	shap/explainers/tree.py	TreeEnsemble.predict	def predict(self, X, y=None, output="margin", tree_limit=None): """ A consistent interface to make predictions from this model. Parameters ---------- tree_limit : None (default) or int Limit the number of trees used by the model. By default None means no use the limit of the original model, and -1 means no limit. """ # see if we have a default tree_limit in place. if tree_limit is None: tree_limit = -1 if self.tree_limit is None else self.tree_limit # convert dataframes if str(type(X)).endswith("pandas.core.series.Series'>"): X = X.values elif str(type(X)).endswith("pandas.core.frame.DataFrame'>"): X = X.values flat_output = False if len(X.shape) == 1: flat_output = True X = X.reshape(1, X.shape[0]) if X.dtype != self.dtype: X = X.astype(self.dtype) X_missing = np.isnan(X, dtype=np.bool) assert str(type(X)).endswith("'numpy.ndarray'>"), "Unknown instance type: " + str(type(X)) assert len(X.shape) == 2, "Passed input data matrix X must have 1 or 2 dimensions!" if tree_limit < 0 or tree_limit > self.values.shape[0]: tree_limit = self.values.shape[0] if output == "logloss": assert y is not None, "Both samples and labels must be provided when explaining the loss (i.e. `explainer.shap_values(X, y)`)!" assert X.shape[0] == len(y), "The number of labels (%d) does not match the number of samples to explain (%d)!" % (len(y), X.shape[0]) transform = self.get_transform(output) if True or self.model_type == "internal": output = np.zeros((X.shape[0], self.n_outputs)) assert_import("cext") _cext.dense_tree_predict( self.children_left, self.children_right, self.children_default, self.features, self.thresholds, self.values, self.max_depth, tree_limit, self.base_offset, output_transform_codes[transform], X, X_missing, y, output ) elif self.model_type == "xgboost": assert_import("xgboost") output = self.original_model.predict(X, output_margin=True, tree_limit=tree_limit) # drop dimensions we don't need if flat_output: if self.n_outputs == 1: return output.flatten()[0] else: return output.reshape(-1, self.n_outputs) else: if self.n_outputs == 1: return output.flatten() else: return output	python	def predict(self, X, y=None, output="margin", tree_limit=None): """ A consistent interface to make predictions from this model. Parameters ---------- tree_limit : None (default) or int Limit the number of trees used by the model. By default None means no use the limit of the original model, and -1 means no limit. """ # see if we have a default tree_limit in place. if tree_limit is None: tree_limit = -1 if self.tree_limit is None else self.tree_limit # convert dataframes if str(type(X)).endswith("pandas.core.series.Series'>"): X = X.values elif str(type(X)).endswith("pandas.core.frame.DataFrame'>"): X = X.values flat_output = False if len(X.shape) == 1: flat_output = True X = X.reshape(1, X.shape[0]) if X.dtype != self.dtype: X = X.astype(self.dtype) X_missing = np.isnan(X, dtype=np.bool) assert str(type(X)).endswith("'numpy.ndarray'>"), "Unknown instance type: " + str(type(X)) assert len(X.shape) == 2, "Passed input data matrix X must have 1 or 2 dimensions!" if tree_limit < 0 or tree_limit > self.values.shape[0]: tree_limit = self.values.shape[0] if output == "logloss": assert y is not None, "Both samples and labels must be provided when explaining the loss (i.e. `explainer.shap_values(X, y)`)!" assert X.shape[0] == len(y), "The number of labels (%d) does not match the number of samples to explain (%d)!" % (len(y), X.shape[0]) transform = self.get_transform(output) if True or self.model_type == "internal": output = np.zeros((X.shape[0], self.n_outputs)) assert_import("cext") _cext.dense_tree_predict( self.children_left, self.children_right, self.children_default, self.features, self.thresholds, self.values, self.max_depth, tree_limit, self.base_offset, output_transform_codes[transform], X, X_missing, y, output ) elif self.model_type == "xgboost": assert_import("xgboost") output = self.original_model.predict(X, output_margin=True, tree_limit=tree_limit) # drop dimensions we don't need if flat_output: if self.n_outputs == 1: return output.flatten()[0] else: return output.reshape(-1, self.n_outputs) else: if self.n_outputs == 1: return output.flatten() else: return output	[ "def", "predict", "(", "self", ",", "X", ",", "y", "=", "None", ",", "output", "=", "\"margin\"", ",", "tree_limit", "=", "None", ")", ":", "# see if we have a default tree_limit in place.", "if", "tree_limit", "is", "None", ":", "tree_limit", "=", "-", "1", "if", "self", ".", "tree_limit", "is", "None", "else", "self", ".", "tree_limit", "# convert dataframes", "if", "str", "(", "type", "(", "X", ")", ")", ".", "endswith", "(", "\"pandas.core.series.Series'>\"", ")", ":", "X", "=", "X", ".", "values", "elif", "str", "(", "type", "(", "X", ")", ")", ".", "endswith", "(", "\"pandas.core.frame.DataFrame'>\"", ")", ":", "X", "=", "X", ".", "values", "flat_output", "=", "False", "if", "len", "(", "X", ".", "shape", ")", "==", "1", ":", "flat_output", "=", "True", "X", "=", "X", ".", "reshape", "(", "1", ",", "X", ".", "shape", "[", "0", "]", ")", "if", "X", ".", "dtype", "!=", "self", ".", "dtype", ":", "X", "=", "X", ".", "astype", "(", "self", ".", "dtype", ")", "X_missing", "=", "np", ".", "isnan", "(", "X", ",", "dtype", "=", "np", ".", "bool", ")", "assert", "str", "(", "type", "(", "X", ")", ")", ".", "endswith", "(", "\"'numpy.ndarray'>\"", ")", ",", "\"Unknown instance type: \"", "+", "str", "(", "type", "(", "X", ")", ")", "assert", "len", "(", "X", ".", "shape", ")", "==", "2", ",", "\"Passed input data matrix X must have 1 or 2 dimensions!\"", "if", "tree_limit", "<", "0", "or", "tree_limit", ">", "self", ".", "values", ".", "shape", "[", "0", "]", ":", "tree_limit", "=", "self", ".", "values", ".", "shape", "[", "0", "]", "if", "output", "==", "\"logloss\"", ":", "assert", "y", "is", "not", "None", ",", "\"Both samples and labels must be provided when explaining the loss (i.e. `explainer.shap_values(X, y)`)!\"", "assert", "X", ".", "shape", "[", "0", "]", "==", "len", "(", "y", ")", ",", "\"The number of labels (%d) does not match the number of samples to explain (%d)!\"", "%", "(", "len", "(", "y", ")", ",", "X", ".", "shape", "[", "0", "]", ")", "transform", "=", "self", ".", "get_transform", "(", "output", ")", "if", "True", "or", "self", ".", "model_type", "==", "\"internal\"", ":", "output", "=", "np", ".", "zeros", "(", "(", "X", ".", "shape", "[", "0", "]", ",", "self", ".", "n_outputs", ")", ")", "assert_import", "(", "\"cext\"", ")", "_cext", ".", "dense_tree_predict", "(", "self", ".", "children_left", ",", "self", ".", "children_right", ",", "self", ".", "children_default", ",", "self", ".", "features", ",", "self", ".", "thresholds", ",", "self", ".", "values", ",", "self", ".", "max_depth", ",", "tree_limit", ",", "self", ".", "base_offset", ",", "output_transform_codes", "[", "transform", "]", ",", "X", ",", "X_missing", ",", "y", ",", "output", ")", "elif", "self", ".", "model_type", "==", "\"xgboost\"", ":", "assert_import", "(", "\"xgboost\"", ")", "output", "=", "self", ".", "original_model", ".", "predict", "(", "X", ",", "output_margin", "=", "True", ",", "tree_limit", "=", "tree_limit", ")", "# drop dimensions we don't need", "if", "flat_output", ":", "if", "self", ".", "n_outputs", "==", "1", ":", "return", "output", ".", "flatten", "(", ")", "[", "0", "]", "else", ":", "return", "output", ".", "reshape", "(", "-", "1", ",", "self", ".", "n_outputs", ")", "else", ":", "if", "self", ".", "n_outputs", "==", "1", ":", "return", "output", ".", "flatten", "(", ")", "else", ":", "return", "output" ]	A consistent interface to make predictions from this model. Parameters ---------- tree_limit : None (default) or int Limit the number of trees used by the model. By default None means no use the limit of the original model, and -1 means no limit.	[ "A", "consistent", "interface", "to", "make", "predictions", "from", "this", "model", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/tree.py#L655-L716	train	Predict the current state of the object.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(5459 - 5348) + chr(49) + '\x30' + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b110011) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b11100 + 0o26) + '\x34', 0o10), ehT0Px3KOsy9(chr(1299 - 1251) + '\157' + chr(50) + '\x32' + '\x33', 11960 - 11952), ehT0Px3KOsy9(chr(1948 - 1900) + '\x6f' + chr(0b100010 + 0o20) + chr(51) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b110001) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\x31' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(2155 - 2107) + chr(9699 - 9588) + chr(52) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\067' + chr(0b10101 + 0o34), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b110110 + 0o71) + chr(665 - 615) + chr(94 - 40) + chr(0b11101 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(306 - 257) + chr(50) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + chr(0b101010 + 0o10) + chr(0b1000 + 0o50) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(115 - 67) + chr(9777 - 9666) + chr(0b110010) + chr(0b1100 + 0o51) + chr(53), 10403 - 10395), ehT0Px3KOsy9(chr(48) + chr(0b1110 + 0o141) + chr(0b1100 + 0o45) + chr(1607 - 1557) + chr(1078 - 1028), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5714 - 5603) + chr(0b11001 + 0o32) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1682 - 1571) + chr(0b110010) + chr(0b10111 + 0o34) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b110110) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1973 - 1925) + '\157' + '\x33' + '\x35' + chr(1209 - 1160), 0b1000), ehT0Px3KOsy9(chr(2018 - 1970) + chr(111) + chr(49) + '\061' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + '\065' + chr(0b110000 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b10001 + 0o46) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\066' + '\x35', 0o10), ehT0Px3KOsy9(chr(771 - 723) + chr(0b1101111) + chr(0b10011 + 0o42) + chr(0b101011 + 0o5), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101100 + 0o7) + '\061' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x35' + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(1388 - 1277) + chr(51) + '\063' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x37' + '\x31', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(617 - 567), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b101110 + 0o2) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(3100 - 2989) + '\x33' + chr(0b100001 + 0o21) + chr(0b100001 + 0o21), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b100011 + 0o23) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11001 + 0o30) + chr(2227 - 2173) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1248 - 1199) + chr(1653 - 1598) + chr(1592 - 1538), 0o10), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + chr(717 - 666) + '\x37' + '\061', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\065', 38868 - 38860), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1382 - 1333) + '\x32' + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\062' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + '\061' + '\x37' + '\063', 32568 - 32560)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1010101 + 0o32) + '\x35' + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'l'), '\x64' + '\145' + chr(0b1100011) + '\x6f' + '\x64' + chr(0b1100101))('\165' + chr(0b111100 + 0o70) + chr(102) + chr(1599 - 1554) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def POyImYQwg5VB(oVre8I6UXc3b, xEgrFJ0REugl, SqiSOtYOqOJH=None, e1jVqMSBZ01Y=xafqLlk3kkUe(SXOLrMavuUCe(b'/9\xe6\xf4\xf6!'), '\x64' + chr(0b101100 + 0o71) + chr(0b1100011) + '\x6f' + chr(100) + chr(0b1010101 + 0o20))(chr(12184 - 12067) + chr(0b111001 + 0o73) + chr(2083 - 1981) + chr(0b101101) + chr(0b110111 + 0o1)), om2D6HhkyzLU=None): if om2D6HhkyzLU is None: om2D6HhkyzLU = -ehT0Px3KOsy9(chr(48) + chr(5385 - 5274) + chr(652 - 603), 18248 - 18240) if oVre8I6UXc3b.tree_limit is None else oVre8I6UXc3b.tree_limit if xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b"'6\xf0\xe0\xe8&\xfeL"), '\144' + '\x65' + chr(5012 - 4913) + chr(0b1010111 + 0o30) + chr(0b1010110 + 0o16) + chr(6662 - 6561))(chr(8912 - 8795) + chr(0b1110100) + chr(102) + chr(0b100000 + 0o15) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'29\xfa\xf7\xfe<\xa4GV\xc16\xaf\xde7up\xff\x02\xc7\x19\x7fZ\x94P[\xe8\x17'), '\x64' + '\x65' + chr(0b111110 + 0o45) + '\x6f' + '\x64' + '\x65')(chr(117) + chr(0b1110100) + '\146' + chr(1769 - 1724) + chr(599 - 543))): xEgrFJ0REugl = xEgrFJ0REugl.SPnCNu54H1db elif xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b"'6\xf0\xe0\xe8&\xfeL"), chr(100) + chr(0b1000001 + 0o44) + '\143' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b1000111 + 0o56) + chr(0b110111 + 0o75) + '\146' + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'29\xfa\xf7\xfe<\xa4GV\xc16\xaf\xcb ft\xff_\xad+nI\xbbGI\xa2L\xff\x07'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1011 + 0o144) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b100010 + 0o122) + chr(0b1100110) + chr(0b100100 + 0o11) + chr(0b1100 + 0o54))): xEgrFJ0REugl = xEgrFJ0REugl.SPnCNu54H1db eHR9O2LGSiYd = ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', 48606 - 48598) if c2A0yzQpDQB3(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b',9\xe1\xca\xf9\x03\xedHm\xc30\xe3'), '\x64' + '\x65' + chr(99) + chr(111) + chr(100) + '\x65')('\x75' + chr(0b1011110 + 0o26) + '\x66' + '\x2d' + chr(0b111000)))) == ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001), 8): eHR9O2LGSiYd = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100101 + 0o14), 8) xEgrFJ0REugl = xEgrFJ0REugl.reshape(ehT0Px3KOsy9('\x30' + chr(111) + chr(49), 8), xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110000), 8)]) if xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'(\x0b\xc2\xaa\xd6\x04\xe4AT\xfbd\xca'), '\144' + chr(0b111111 + 0o46) + '\x63' + '\x6f' + chr(0b1001111 + 0o25) + '\x65')('\165' + chr(116) + '\x66' + chr(0b11010 + 0o23) + chr(2454 - 2398))) != xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'(\x0b\xc2\xaa\xd6\x04\xe4AT\xfbd\xca'), '\144' + '\x65' + chr(99) + chr(12309 - 12198) + chr(0b1100010 + 0o2) + chr(0b1100101))('\165' + chr(0b1110100) + '\x66' + chr(0b1111 + 0o36) + chr(0b100001 + 0o27))): xEgrFJ0REugl = xEgrFJ0REugl.astype(oVre8I6UXc3b.jSV9IKnemH7K) thVLhtlXVOER = WqUC3KWvYVup.isnan(xEgrFJ0REugl, dtype=WqUC3KWvYVup.bool) assert xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b"'6\xf0\xe0\xe8&\xfeL"), '\x64' + '\x65' + chr(4035 - 3936) + '\x6f' + '\x64' + '\x65')(chr(2225 - 2108) + chr(0b1110011 + 0o1) + '\146' + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b"e6\xe1\xfe\xef6\xa4J]\xd2!\xf3\xcc+ '"), chr(0b100101 + 0o77) + chr(7674 - 7573) + chr(0b111100 + 0o47) + '\x6f' + chr(0b1100100 + 0o0) + chr(0b111010 + 0o53))('\x75' + '\164' + chr(0b1100110) + chr(0b101011 + 0o2) + chr(2302 - 2246))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x176\xff\xfd\xf08\xe4\x04P\xdd \xf5\xcc<d\|\xba\x05\x90:\x7f\x12\xdd'), chr(100) + chr(3895 - 3794) + chr(0b1100000 + 0o3) + '\x6f' + chr(0b1100100) + chr(0b101110 + 0o67))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(386 - 341) + chr(56)) + M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)) assert c2A0yzQpDQB3(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b',9\xe1\xca\xf9\x03\xedHm\xc30\xe3'), chr(0b1100100) + chr(1896 - 1795) + '\x63' + chr(2273 - 2162) + '\x64' + chr(5964 - 5863))(chr(117) + chr(116) + chr(6472 - 6370) + chr(842 - 797) + chr(1209 - 1153)))) == ehT0Px3KOsy9(chr(767 - 719) + chr(0b1101111) + chr(0b1001 + 0o51), 0b1000), xafqLlk3kkUe(SXOLrMavuUCe(b'\x129\xe7\xe0\xfa+\xaaMW\xc3&\xf5\x8d6fm\xfbQ\x84+nZ\x94M\x08\x97\t\xb5Li\xf2\xf2\x18\x14\x08\x9c%g\xb2\x140x\xa6\xb3\xfb&\xe7AW\xc0:\xee\xc3!&'), chr(100) + chr(9864 - 9763) + chr(7202 - 7103) + chr(0b1101111) + '\x64' + '\x65')(chr(117) + '\x74' + chr(0b10010 + 0o124) + chr(0b101101) + '\070') if om2D6HhkyzLU < ehT0Px3KOsy9(chr(0b110000) + chr(10193 - 10082) + chr(333 - 285), 8) or om2D6HhkyzLU > xafqLlk3kkUe(oVre8I6UXc3b.values, xafqLlk3kkUe(SXOLrMavuUCe(b',9\xe1\xca\xf9\x03\xedHm\xc30\xe3'), chr(100) + chr(101) + chr(99) + '\x6f' + chr(100) + chr(0b1100101))(chr(117) + chr(116) + chr(102) + '\055' + chr(0b10100 + 0o44)))[ehT0Px3KOsy9('\x30' + '\157' + chr(48), 8)]: om2D6HhkyzLU = oVre8I6UXc3b.values.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000) + chr(1312 - 1201) + chr(48), 8)] if e1jVqMSBZ01Y == xafqLlk3kkUe(SXOLrMavuUCe(b'.7\xf3\xff\xf0<\xf9'), '\x64' + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\145')('\165' + chr(0b100001 + 0o123) + '\x66' + '\055' + '\x38'): assert SqiSOtYOqOJH is not None, xafqLlk3kkUe(SXOLrMavuUCe(b"\x007\xe0\xfb\xbf<\xebII\xdf6\xf2\x8d3i}\xba\x1d\x88(\x7fD\x8e\x15E\xbaZ\xac\x19x\xe3\xf2\x00\x07\x11\x8fl2\xf7\x1fb/\xfc\xf6\xf1o\xef\\I\xdf2\xe8\xc3;i~\xba\x05\x81/:D\x92F[\xef\x01\xb1\x17\x7f\xa8\xf2\x10\x10\x06\x89i7\xfb\x15'\xba\xe0\xf7.\xfa{O\xd2?\xf4\xc8!/A\xb6Q\x90cz\x01\xdc"), '\144' + chr(6625 - 6524) + chr(0b1100011) + chr(0b1000000 + 0o57) + chr(0b1010110 + 0o16) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(1777 - 1675) + chr(879 - 834) + chr(0b111000)) assert xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b',9\xe1\xca\xf9\x03\xedHm\xc30\xe3'), '\144' + '\145' + chr(0b1011100 + 0o7) + chr(0b1000011 + 0o54) + '\x64' + chr(1329 - 1228))('\165' + chr(0b1010000 + 0o44) + chr(102) + chr(753 - 708) + chr(1156 - 1100)))[ehT0Px3KOsy9(chr(48) + chr(111) + chr(2268 - 2220), 8)] == c2A0yzQpDQB3(SqiSOtYOqOJH), xafqLlk3kkUe(SXOLrMavuUCe(b'\x160\xf1\xb3\xf1:\xe7F\\\xc1s\xee\xcbrkx\xf8\x14\x859:\x00\xd8Q\x01\xefM\xb7\\i\xa6\xbc\x1f\x01^\x94d"\xf1\x13b,\xfc\xf6\xbf!\xffI[\xd6!\xa1\xc24\'j\xfb\x1c\x99&\x7f[\xddAG\xefL\xa0Iv\xe7\xbb\x1eUV\xdca\x7f\xb3'), chr(0b111101 + 0o47) + '\x65' + chr(6622 - 6523) + chr(111) + chr(0b11011 + 0o111) + '\x65')(chr(117) + '\164' + chr(0b1100110) + chr(238 - 193) + '\x38') % (c2A0yzQpDQB3(SqiSOtYOqOJH), xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b',9\xe1\xca\xf9\x03\xedHm\xc30\xe3'), chr(0b0 + 0o144) + chr(101) + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b1 + 0o145) + '\055' + chr(1609 - 1553)))[ehT0Px3KOsy9('\x30' + chr(111) + '\x30', 8)]) ASNeIOBhze_M = oVre8I6UXc3b.get_transform(e1jVqMSBZ01Y) if ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31', 8) or xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'/7\xf0\xf6\xf3\x10\xfe]I\xd6'), '\x64' + chr(1432 - 1331) + '\143' + chr(0b111011 + 0o64) + chr(100) + '\145')('\165' + chr(116) + chr(0b1100110) + chr(819 - 774) + chr(1164 - 1108))) == xafqLlk3kkUe(SXOLrMavuUCe(b'+6\xe0\xf6\xed!\xebH'), '\x64' + '\145' + chr(0b1100011) + '\x6f' + '\144' + '\145')('\165' + '\164' + chr(102) + chr(45) + chr(0b111000)): e1jVqMSBZ01Y = WqUC3KWvYVup.zeros((xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1633 - 1585), 8)], oVre8I6UXc3b.n_outputs)) LxkgAWKkJQrK(xafqLlk3kkUe(SXOLrMavuUCe(b'!=\xec\xe7'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(9109 - 8998) + '\144' + chr(2804 - 2703))(chr(0b1101000 + 0o15) + chr(0b110010 + 0o102) + '\x66' + '\x2d' + chr(0b100110 + 0o22))) xafqLlk3kkUe(en9DilJiFjXV, xafqLlk3kkUe(SXOLrMavuUCe(b'&=\xfa\xe0\xfa\x10\xfeV\\\xd6\x0c\xf1\xdf7cp\xf9\x05'), chr(3827 - 3727) + chr(6528 - 6427) + chr(0b1010011 + 0o20) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b101000 + 0o114) + '\146' + chr(0b100000 + 0o15) + chr(2981 - 2925)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'!0\xfd\xff\xfb=\xefJf\xdf6\xe7\xd9'), '\x64' + chr(0b1100101) + chr(2089 - 1990) + chr(0b1101111) + chr(0b1101 + 0o127) + '\145')(chr(117) + chr(8738 - 8622) + chr(0b1100110) + chr(0b101101) + chr(56))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'!0\xfd\xff\xfb=\xefJf\xc1:\xe6\xc5&'), chr(6290 - 6190) + '\145' + '\143' + chr(8570 - 8459) + chr(6881 - 6781) + chr(0b1100101))(chr(0b1110101) + chr(0b1001001 + 0o53) + chr(569 - 467) + chr(0b10010 + 0o33) + chr(56))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"!0\xfd\xff\xfb=\xefJf\xd76\xe7\xcc'km"), '\144' + chr(0b1100101) + chr(99) + chr(0b101000 + 0o107) + '\144' + chr(0b1100101))(chr(13452 - 13335) + '\x74' + chr(0b1100110) + chr(0b11000 + 0o25) + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'$=\xf5\xe7\xea=\xefW'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1011000 + 0o14) + chr(0b110 + 0o137))('\165' + chr(1813 - 1697) + chr(7470 - 7368) + chr(45) + chr(2455 - 2399))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"60\xe6\xf6\xec'\xe5H]\xc0"), chr(100) + '\145' + chr(0b11101 + 0o106) + chr(0b1100000 + 0o17) + '\144' + chr(0b1110 + 0o127))('\x75' + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11\x08\xfa\xd0\xd1:\xbf\x10q\x827\xe3'), '\144' + chr(0b1100101) + '\143' + chr(111) + chr(100) + chr(0b1100101))('\x75' + chr(9322 - 9206) + chr(0b1010 + 0o134) + chr(1314 - 1269) + chr(0b111000))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'/9\xec\xcc\xfb\xfaPQ'), chr(0b1 + 0o143) + chr(1032 - 931) + chr(99) + '\x6f' + chr(100) + '\x65')('\x75' + chr(0b100111 + 0o115) + chr(7407 - 7305) + chr(1405 - 1360) + chr(0b10001 + 0o47))), om2D6HhkyzLU, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b" 9\xe7\xf6\xc0 \xecBJ\xd6'"), chr(100) + chr(0b100110 + 0o77) + chr(0b100010 + 0o101) + chr(5037 - 4926) + chr(9972 - 9872) + chr(1991 - 1890))(chr(12453 - 12336) + chr(0b1110100) + chr(102) + '\055' + '\070')), uGxUraH1qunB[ASNeIOBhze_M], xEgrFJ0REugl, thVLhtlXVOER, SqiSOtYOqOJH, e1jVqMSBZ01Y) elif xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'/7\xf0\xf6\xf3\x10\xfe]I\xd6'), chr(0b1 + 0o143) + '\x65' + '\143' + chr(0b1101111) + chr(0b11100 + 0o110) + chr(7756 - 7655))(chr(0b1110101) + chr(0b101111 + 0o105) + '\x66' + '\x2d' + chr(1612 - 1556))) == xafqLlk3kkUe(SXOLrMavuUCe(b':?\xf6\xfc\xf0<\xfe'), chr(100) + chr(0b1100101) + chr(0b11011 + 0o110) + '\157' + '\144' + '\x65')(chr(0b101100 + 0o111) + chr(0b10001 + 0o143) + chr(0b1100110) + chr(0b101101) + chr(0b111000)): LxkgAWKkJQrK(xafqLlk3kkUe(SXOLrMavuUCe(b':?\xf6\xfc\xf0<\xfe'), chr(9744 - 9644) + chr(0b111000 + 0o55) + chr(99) + '\157' + '\x64' + chr(0b10110 + 0o117))('\x75' + '\x74' + chr(0b1100110) + '\x2d' + '\x38')) e1jVqMSBZ01Y = oVre8I6UXc3b.original_model.POyImYQwg5VB(xEgrFJ0REugl, output_margin=ehT0Px3KOsy9(chr(0b110000) + chr(8913 - 8802) + '\x31', 8), tree_limit=om2D6HhkyzLU) if eHR9O2LGSiYd: if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b',\x07\xfb\xe6\xeb?\xffPJ'), chr(100) + chr(1104 - 1003) + chr(2936 - 2837) + chr(0b1101111) + chr(0b1011111 + 0o5) + '\x65')(chr(0b1110000 + 0o5) + chr(0b100110 + 0o116) + chr(0b111010 + 0o54) + chr(45) + '\x38')) == ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31', 8): return xafqLlk3kkUe(e1jVqMSBZ01Y, xafqLlk3kkUe(SXOLrMavuUCe(b'&:\xd6\xe7\xe6!\xde\x12V\xfe4\xfb'), '\x64' + '\145' + chr(2058 - 1959) + chr(0b1000101 + 0o52) + chr(1193 - 1093) + '\145')(chr(0b1110101) + chr(116) + chr(4921 - 4819) + chr(0b101101) + chr(0b111000)))()[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1100 + 0o44), 8)] else: return xafqLlk3kkUe(e1jVqMSBZ01Y, xafqLlk3kkUe(SXOLrMavuUCe(b'0=\xe7\xfb\xfe?\xef'), '\x64' + chr(101) + '\143' + chr(0b101110 + 0o101) + '\x64' + chr(0b1100101))(chr(1266 - 1149) + chr(116) + chr(102) + '\055' + chr(0b111000)))(-ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + chr(0b110001), 8), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b',\x07\xfb\xe6\xeb?\xffPJ'), '\x64' + chr(0b1010111 + 0o16) + '\143' + '\157' + chr(100) + '\145')(chr(117) + chr(12040 - 11924) + chr(4611 - 4509) + chr(0b11110 + 0o17) + '\070'))) elif xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b',\x07\xfb\xe6\xeb?\xffPJ'), chr(802 - 702) + chr(0b1010100 + 0o21) + chr(0b1100011) + chr(9442 - 9331) + chr(100) + chr(101))(chr(11710 - 11593) + '\164' + '\146' + chr(1518 - 1473) + chr(56))) == ehT0Px3KOsy9(chr(48) + '\157' + '\x31', 8): return xafqLlk3kkUe(e1jVqMSBZ01Y, xafqLlk3kkUe(SXOLrMavuUCe(b'&:\xd6\xe7\xe6!\xde\x12V\xfe4\xfb'), chr(0b110111 + 0o55) + '\x65' + chr(0b1100011) + chr(0b1001000 + 0o47) + '\144' + '\x65')(chr(5548 - 5431) + '\x74' + chr(102) + chr(0b101101) + chr(56)))() else: return e1jVqMSBZ01Y
slundberg/shap	shap/explainers/gradient.py	GradientExplainer.shap_values	def shap_values(self, X, nsamples=200, ranked_outputs=None, output_rank_order="max", rseed=None): """ Return the values for the model applied to X. Parameters ---------- X : list, if framework == 'tensorflow': numpy.array, or pandas.DataFrame if framework == 'pytorch': torch.tensor A tensor (or list of tensors) of samples (where X.shape[0] == # samples) on which to explain the model's output. ranked_outputs : None or int If ranked_outputs is None then we explain all the outputs in a multi-output model. If ranked_outputs is a positive integer then we only explain that many of the top model outputs (where "top" is determined by output_rank_order). Note that this causes a pair of values to be returned (shap_values, indexes), where phi is a list of numpy arrays for each of the output ranks, and indexes is a matrix that tells for each sample which output indexes were choses as "top". output_rank_order : "max", "min", "max_abs", or "custom" How to order the model outputs when using ranked_outputs, either by maximum, minimum, or maximum absolute value. If "custom" Then "ranked_outputs" contains a list of output nodes. rseed : None or int Seeding the randomness in shap value computation (background example choice, interpolation between current and background example, smoothing). Returns ------- For a models with a single output this returns a tensor of SHAP values with the same shape as X. For a model with multiple outputs this returns a list of SHAP value tensors, each of which are the same shape as X. If ranked_outputs is None then this list of tensors matches the number of model outputs. If ranked_outputs is a positive integer a pair is returned (shap_values, indexes), where shap_values is a list of tensors with a length of ranked_outputs, and indexes is a matrix that tells for each sample which output indexes were chosen as "top". """ return self.explainer.shap_values(X, nsamples, ranked_outputs, output_rank_order, rseed)	python	def shap_values(self, X, nsamples=200, ranked_outputs=None, output_rank_order="max", rseed=None): """ Return the values for the model applied to X. Parameters ---------- X : list, if framework == 'tensorflow': numpy.array, or pandas.DataFrame if framework == 'pytorch': torch.tensor A tensor (or list of tensors) of samples (where X.shape[0] == # samples) on which to explain the model's output. ranked_outputs : None or int If ranked_outputs is None then we explain all the outputs in a multi-output model. If ranked_outputs is a positive integer then we only explain that many of the top model outputs (where "top" is determined by output_rank_order). Note that this causes a pair of values to be returned (shap_values, indexes), where phi is a list of numpy arrays for each of the output ranks, and indexes is a matrix that tells for each sample which output indexes were choses as "top". output_rank_order : "max", "min", "max_abs", or "custom" How to order the model outputs when using ranked_outputs, either by maximum, minimum, or maximum absolute value. If "custom" Then "ranked_outputs" contains a list of output nodes. rseed : None or int Seeding the randomness in shap value computation (background example choice, interpolation between current and background example, smoothing). Returns ------- For a models with a single output this returns a tensor of SHAP values with the same shape as X. For a model with multiple outputs this returns a list of SHAP value tensors, each of which are the same shape as X. If ranked_outputs is None then this list of tensors matches the number of model outputs. If ranked_outputs is a positive integer a pair is returned (shap_values, indexes), where shap_values is a list of tensors with a length of ranked_outputs, and indexes is a matrix that tells for each sample which output indexes were chosen as "top". """ return self.explainer.shap_values(X, nsamples, ranked_outputs, output_rank_order, rseed)	[ "def", "shap_values", "(", "self", ",", "X", ",", "nsamples", "=", "200", ",", "ranked_outputs", "=", "None", ",", "output_rank_order", "=", "\"max\"", ",", "rseed", "=", "None", ")", ":", "return", "self", ".", "explainer", ".", "shap_values", "(", "X", ",", "nsamples", ",", "ranked_outputs", ",", "output_rank_order", ",", "rseed", ")" ]	Return the values for the model applied to X. Parameters ---------- X : list, if framework == 'tensorflow': numpy.array, or pandas.DataFrame if framework == 'pytorch': torch.tensor A tensor (or list of tensors) of samples (where X.shape[0] == # samples) on which to explain the model's output. ranked_outputs : None or int If ranked_outputs is None then we explain all the outputs in a multi-output model. If ranked_outputs is a positive integer then we only explain that many of the top model outputs (where "top" is determined by output_rank_order). Note that this causes a pair of values to be returned (shap_values, indexes), where phi is a list of numpy arrays for each of the output ranks, and indexes is a matrix that tells for each sample which output indexes were choses as "top". output_rank_order : "max", "min", "max_abs", or "custom" How to order the model outputs when using ranked_outputs, either by maximum, minimum, or maximum absolute value. If "custom" Then "ranked_outputs" contains a list of output nodes. rseed : None or int Seeding the randomness in shap value computation (background example choice, interpolation between current and background example, smoothing). Returns ------- For a models with a single output this returns a tensor of SHAP values with the same shape as X. For a model with multiple outputs this returns a list of SHAP value tensors, each of which are the same shape as X. If ranked_outputs is None then this list of tensors matches the number of model outputs. If ranked_outputs is a positive integer a pair is returned (shap_values, indexes), where shap_values is a list of tensors with a length of ranked_outputs, and indexes is a matrix that tells for each sample which output indexes were chosen as "top".	[ "Return", "the", "values", "for", "the", "model", "applied", "to", "X", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/gradient.py#L75-L112	train	Return the values for the model applied to X.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + chr(1318 - 1268) + chr(50) + '\067', 16369 - 16361), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b110001) + '\x36' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\063' + chr(48) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110110 + 0o71) + '\063' + '\061' + chr(0b1011 + 0o47), 0b1000), ehT0Px3KOsy9('\x30' + chr(7133 - 7022) + '\062' + '\x35' + '\062', 3136 - 3128), ehT0Px3KOsy9(chr(230 - 182) + chr(0b1101111) + '\x34' + chr(780 - 725), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1251 - 1196) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\x31' + chr(2466 - 2416), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\062' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(2447 - 2396) + '\x33' + chr(54), 12164 - 12156), ehT0Px3KOsy9(chr(143 - 95) + '\x6f' + chr(0b1111 + 0o43) + chr(0b110110) + '\060', 39950 - 39942), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(0b110011) + '\x31' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(0b111101 + 0o62) + chr(0b110001) + chr(0b110111) + '\x33', 4987 - 4979), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11000 + 0o37) + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + chr(3771 - 3660) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b110100) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(1777 - 1666) + chr(0b110010) + chr(1571 - 1522) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1131 - 1083) + '\x6f' + chr(49) + '\067' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(7705 - 7594) + chr(1597 - 1546) + chr(50) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100011 + 0o24) + chr(0b11110 + 0o25), 36987 - 36979), ehT0Px3KOsy9(chr(371 - 323) + '\x6f' + '\x31' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10110 + 0o131) + chr(49) + '\064' + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\060' + chr(1726 - 1671), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(0b110101 + 0o2) + chr(0b101 + 0o57), 0o10), ehT0Px3KOsy9(chr(1994 - 1946) + '\157' + chr(50), 29434 - 29426), ehT0Px3KOsy9('\060' + '\157' + chr(0b10 + 0o60) + chr(0b110100) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\062' + chr(0b101111 + 0o6), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + chr(78 - 28) + chr(54) + chr(0b110110), 57231 - 57223), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(50) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + '\x33' + chr(52) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110110) + chr(1273 - 1222), 29615 - 29607), ehT0Px3KOsy9('\x30' + chr(111) + chr(2062 - 2011) + chr(0b110001 + 0o5) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + chr(216 - 166) + '\062' + '\062', 8), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + '\x31' + chr(55) + chr(0b110100 + 0o1), 1220 - 1212), ehT0Px3KOsy9(chr(1555 - 1507) + chr(0b1101111) + '\063' + chr(846 - 796) + chr(0b110110), 56421 - 56413), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\063' + '\x34', 0o10), ehT0Px3KOsy9(chr(542 - 494) + '\x6f' + chr(51) + chr(51), 36214 - 36206), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b110111) + chr(1212 - 1161), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(12046 - 11935) + '\061' + chr(49) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + chr(0b110001) + chr(49), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35' + chr(997 - 949), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9'), '\x64' + chr(0b111111 + 0o46) + chr(8828 - 8729) + '\157' + chr(100) + chr(0b1100101))('\165' + chr(0b11010 + 0o132) + chr(102) + chr(45) + chr(2561 - 2505)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def B6TQhWekbimD(oVre8I6UXc3b, xEgrFJ0REugl, ZCJSp_jsrQSL=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101100 + 0o7) + chr(0b110001) + chr(996 - 948), 8), o7rT14jUPTm8=None, i_prgIhtoCzx=xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\x13\xbf'), chr(0b1100100) + '\x65' + chr(0b1000001 + 0o42) + '\157' + chr(0b1100100) + chr(0b10110 + 0o117))(chr(117) + '\164' + '\x66' + chr(45) + chr(0b110011 + 0o5)), KtRgCAkJfJ_Q=None): return xafqLlk3kkUe(oVre8I6UXc3b.explainer, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\x1a\xa6\xba\xf5QY\xa6\xa0\xbb\xc3'), '\x64' + chr(10009 - 9908) + chr(0b1100011) + chr(6997 - 6886) + chr(9515 - 9415) + chr(0b1100101))('\165' + chr(1471 - 1355) + '\x66' + '\x2d' + chr(56)))(xEgrFJ0REugl, ZCJSp_jsrQSL, o7rT14jUPTm8, i_prgIhtoCzx, KtRgCAkJfJ_Q)
slundberg/shap	shap/plots/force.py	force_plot	def force_plot(base_value, shap_values, features=None, feature_names=None, out_names=None, link="identity", plot_cmap="RdBu", matplotlib=False, show=True, figsize=(20,3), ordering_keys=None, ordering_keys_time_format=None, text_rotation=0): """ Visualize the given SHAP values with an additive force layout. Parameters ---------- base_value : float This is the reference value that the feature contributions start from. For SHAP values it should be the value of explainer.expected_value. shap_values : numpy.array Matrix of SHAP values (# features) or (# samples x # features). If this is a 1D array then a single force plot will be drawn, if it is a 2D array then a stacked force plot will be drawn. features : numpy.array Matrix of feature values (# features) or (# samples x # features). This provides the values of all the features, and should be the same shape as the shap_values argument. feature_names : list List of feature names (# features). out_names : str The name of the outout of the model (plural to support multi-output plotting in the future). link : "identity" or "logit" The transformation used when drawing the tick mark labels. Using logit will change log-odds numbers into probabilities. matplotlib : bool Whether to use the default Javascript output, or the (less developed) matplotlib output. Using matplotlib can be helpful in scenarios where rendering Javascript/HTML is inconvenient. """ # auto unwrap the base_value if type(base_value) == np.ndarray and len(base_value) == 1: base_value = base_value[0] if (type(base_value) == np.ndarray or type(base_value) == list): if type(shap_values) != list or len(shap_values) != len(base_value): raise Exception("In v0.20 force_plot now requires the base value as the first parameter! " \ "Try shap.force_plot(explainer.expected_value, shap_values) or " \ "for multi-output models try " \ "shap.force_plot(explainer.expected_value[0], shap_values[0]).") assert not type(shap_values) == list, "The shap_values arg looks looks multi output, try shap_values[i]." link = convert_to_link(link) if type(shap_values) != np.ndarray: return visualize(shap_values) # convert from a DataFrame or other types if str(type(features)) == "<class 'pandas.core.frame.DataFrame'>": if feature_names is None: feature_names = list(features.columns) features = features.values elif str(type(features)) == "<class 'pandas.core.series.Series'>": if feature_names is None: feature_names = list(features.index) features = features.values elif isinstance(features, list): if feature_names is None: feature_names = features features = None elif features is not None and len(features.shape) == 1 and feature_names is None: feature_names = features features = None if len(shap_values.shape) == 1: shap_values = np.reshape(shap_values, (1, len(shap_values))) if out_names is None: out_names = ["output value"] elif type(out_names) == str: out_names = [out_names] if shap_values.shape[0] == 1: if feature_names is None: feature_names = [labels['FEATURE'] % str(i) for i in range(shap_values.shape[1])] if features is None: features = ["" for _ in range(len(feature_names))] if type(features) == np.ndarray: features = features.flatten() # check that the shape of the shap_values and features match if len(features) != shap_values.shape[1]: msg = "Length of features is not equal to the length of shap_values!" if len(features) == shap_values.shape[1] - 1: msg += " You might be using an old format shap_values array with the base value " \ "as the last column. In this case just pass the array without the last column." raise Exception(msg) instance = Instance(np.zeros((1, len(feature_names))), features) e = AdditiveExplanation( base_value, np.sum(shap_values[0, :]) + base_value, shap_values[0, :], None, instance, link, Model(None, out_names), DenseData(np.zeros((1, len(feature_names))), list(feature_names)) ) return visualize(e, plot_cmap, matplotlib, figsize=figsize, show=show, text_rotation=text_rotation) else: if matplotlib: raise Exception("matplotlib = True is not yet supported for force plots with multiple samples!") if shap_values.shape[0] > 3000: warnings.warn("shap.force_plot is slow for many thousands of rows, try subsampling your data.") exps = [] for i in range(shap_values.shape[0]): if feature_names is None: feature_names = [labels['FEATURE'] % str(i) for i in range(shap_values.shape[1])] if features is None: display_features = ["" for i in range(len(feature_names))] else: display_features = features[i, :] instance = Instance(np.ones((1, len(feature_names))), display_features) e = AdditiveExplanation( base_value, np.sum(shap_values[i, :]) + base_value, shap_values[i, :], None, instance, link, Model(None, out_names), DenseData(np.ones((1, len(feature_names))), list(feature_names)) ) exps.append(e) return visualize( exps, plot_cmap=plot_cmap, ordering_keys=ordering_keys, ordering_keys_time_format=ordering_keys_time_format, text_rotation=text_rotation )	python	def force_plot(base_value, shap_values, features=None, feature_names=None, out_names=None, link="identity", plot_cmap="RdBu", matplotlib=False, show=True, figsize=(20,3), ordering_keys=None, ordering_keys_time_format=None, text_rotation=0): """ Visualize the given SHAP values with an additive force layout. Parameters ---------- base_value : float This is the reference value that the feature contributions start from. For SHAP values it should be the value of explainer.expected_value. shap_values : numpy.array Matrix of SHAP values (# features) or (# samples x # features). If this is a 1D array then a single force plot will be drawn, if it is a 2D array then a stacked force plot will be drawn. features : numpy.array Matrix of feature values (# features) or (# samples x # features). This provides the values of all the features, and should be the same shape as the shap_values argument. feature_names : list List of feature names (# features). out_names : str The name of the outout of the model (plural to support multi-output plotting in the future). link : "identity" or "logit" The transformation used when drawing the tick mark labels. Using logit will change log-odds numbers into probabilities. matplotlib : bool Whether to use the default Javascript output, or the (less developed) matplotlib output. Using matplotlib can be helpful in scenarios where rendering Javascript/HTML is inconvenient. """ # auto unwrap the base_value if type(base_value) == np.ndarray and len(base_value) == 1: base_value = base_value[0] if (type(base_value) == np.ndarray or type(base_value) == list): if type(shap_values) != list or len(shap_values) != len(base_value): raise Exception("In v0.20 force_plot now requires the base value as the first parameter! " \ "Try shap.force_plot(explainer.expected_value, shap_values) or " \ "for multi-output models try " \ "shap.force_plot(explainer.expected_value[0], shap_values[0]).") assert not type(shap_values) == list, "The shap_values arg looks looks multi output, try shap_values[i]." link = convert_to_link(link) if type(shap_values) != np.ndarray: return visualize(shap_values) # convert from a DataFrame or other types if str(type(features)) == "<class 'pandas.core.frame.DataFrame'>": if feature_names is None: feature_names = list(features.columns) features = features.values elif str(type(features)) == "<class 'pandas.core.series.Series'>": if feature_names is None: feature_names = list(features.index) features = features.values elif isinstance(features, list): if feature_names is None: feature_names = features features = None elif features is not None and len(features.shape) == 1 and feature_names is None: feature_names = features features = None if len(shap_values.shape) == 1: shap_values = np.reshape(shap_values, (1, len(shap_values))) if out_names is None: out_names = ["output value"] elif type(out_names) == str: out_names = [out_names] if shap_values.shape[0] == 1: if feature_names is None: feature_names = [labels['FEATURE'] % str(i) for i in range(shap_values.shape[1])] if features is None: features = ["" for _ in range(len(feature_names))] if type(features) == np.ndarray: features = features.flatten() # check that the shape of the shap_values and features match if len(features) != shap_values.shape[1]: msg = "Length of features is not equal to the length of shap_values!" if len(features) == shap_values.shape[1] - 1: msg += " You might be using an old format shap_values array with the base value " \ "as the last column. In this case just pass the array without the last column." raise Exception(msg) instance = Instance(np.zeros((1, len(feature_names))), features) e = AdditiveExplanation( base_value, np.sum(shap_values[0, :]) + base_value, shap_values[0, :], None, instance, link, Model(None, out_names), DenseData(np.zeros((1, len(feature_names))), list(feature_names)) ) return visualize(e, plot_cmap, matplotlib, figsize=figsize, show=show, text_rotation=text_rotation) else: if matplotlib: raise Exception("matplotlib = True is not yet supported for force plots with multiple samples!") if shap_values.shape[0] > 3000: warnings.warn("shap.force_plot is slow for many thousands of rows, try subsampling your data.") exps = [] for i in range(shap_values.shape[0]): if feature_names is None: feature_names = [labels['FEATURE'] % str(i) for i in range(shap_values.shape[1])] if features is None: display_features = ["" for i in range(len(feature_names))] else: display_features = features[i, :] instance = Instance(np.ones((1, len(feature_names))), display_features) e = AdditiveExplanation( base_value, np.sum(shap_values[i, :]) + base_value, shap_values[i, :], None, instance, link, Model(None, out_names), DenseData(np.ones((1, len(feature_names))), list(feature_names)) ) exps.append(e) return visualize( exps, plot_cmap=plot_cmap, ordering_keys=ordering_keys, ordering_keys_time_format=ordering_keys_time_format, text_rotation=text_rotation )	[ "def", "force_plot", "(", "base_value", ",", "shap_values", ",", "features", "=", "None", ",", "feature_names", "=", "None", ",", "out_names", "=", "None", ",", "link", "=", "\"identity\"", ",", "plot_cmap", "=", "\"RdBu\"", ",", "matplotlib", "=", "False", ",", "show", "=", "True", ",", "figsize", "=", "(", "20", ",", "3", ")", ",", "ordering_keys", "=", "None", ",", "ordering_keys_time_format", "=", "None", ",", "text_rotation", "=", "0", ")", ":", "# auto unwrap the base_value", "if", "type", "(", "base_value", ")", "==", "np", ".", "ndarray", "and", "len", "(", "base_value", ")", "==", "1", ":", "base_value", "=", "base_value", "[", "0", "]", "if", "(", "type", "(", "base_value", ")", "==", "np", ".", "ndarray", "or", "type", "(", "base_value", ")", "==", "list", ")", ":", "if", "type", "(", "shap_values", ")", "!=", "list", "or", "len", "(", "shap_values", ")", "!=", "len", "(", "base_value", ")", ":", "raise", "Exception", "(", "\"In v0.20 force_plot now requires the base value as the first parameter! 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Parameters ---------- base_value : float This is the reference value that the feature contributions start from. For SHAP values it should be the value of explainer.expected_value. shap_values : numpy.array Matrix of SHAP values (# features) or (# samples x # features). If this is a 1D array then a single force plot will be drawn, if it is a 2D array then a stacked force plot will be drawn. features : numpy.array Matrix of feature values (# features) or (# samples x # features). This provides the values of all the features, and should be the same shape as the shap_values argument. feature_names : list List of feature names (# features). out_names : str The name of the outout of the model (plural to support multi-output plotting in the future). link : "identity" or "logit" The transformation used when drawing the tick mark labels. Using logit will change log-odds numbers into probabilities. matplotlib : bool Whether to use the default Javascript output, or the (less developed) matplotlib output. Using matplotlib can be helpful in scenarios where rendering Javascript/HTML is inconvenient.	[ "Visualize", "the", "given", "SHAP", "values", "with", "an", "additive", "force", "layout", ".", "Parameters", "----------", "base_value", ":", "float", "This", "is", "the", "reference", "value", "that", "the", "feature", "contributions", "start", "from", ".", "For", "SHAP", "values", "it", "should", "be", "the", "value", "of", "explainer", ".", "expected_value", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/plots/force.py#L27-L171	train	Visualize the given SHAP values with a additive force plot.	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57123), ehT0Px3KOsy9('\060' + chr(0b1000011 + 0o54) + chr(50) + chr(373 - 324) + chr(0b11100 + 0o26), 7617 - 7609), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110101) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110001) + chr(55), 0o10), ehT0Px3KOsy9(chr(1018 - 970) + chr(10286 - 10175) + chr(0b101 + 0o56) + chr(55) + chr(0b101101 + 0o5), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10000 + 0o43) + chr(0b110101) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10101 + 0o35) + '\063' + chr(1461 - 1412), 59146 - 59138), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(493 - 444) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1111 + 0o140) + chr(0b110010) + chr(53) + chr(1126 - 1074), 27745 - 27737), ehT0Px3KOsy9(chr(1257 - 1209) + chr(3589 - 3478) + chr(51) + chr(0b110010) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110100) + chr(0b110101), 50237 - 50229), ehT0Px3KOsy9('\060' + chr(1762 - 1651) + chr(0b10001 + 0o41) + '\062' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + chr(52) + chr(1625 - 1572), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(0b1 + 0o60) + chr(0b110101) + chr(0b10001 + 0o42), 0b1000), ehT0Px3KOsy9('\060' + chr(9840 - 9729) + chr(50) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1787 - 1736) + '\x37' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + '\x31' + chr(48) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(6304 - 6193) + chr(51) + '\062', 4280 - 4272), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b110001) + chr(48), 0o10), ehT0Px3KOsy9(chr(77 - 29) + '\157' + '\061' + chr(54) + chr(178 - 123), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x36' + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10110 + 0o33) + chr(778 - 727) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + chr(51) + '\x35' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b100001 + 0o22) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(4031 - 3920) + chr(2003 - 1948) + chr(0b11010 + 0o34), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(49) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11001 + 0o32) + chr(55) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\065' + chr(1708 - 1656), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101100 + 0o3) + '\x32' + chr(0b110100) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110101 + 0o72) + '\x33' + chr(0b110111) + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(53) + chr(742 - 693), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1123 - 1074) + '\x33' + chr(939 - 889), 4750 - 4742), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(52) + '\064', 13613 - 13605), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\064' + '\065', 8), ehT0Px3KOsy9('\x30' + chr(4172 - 4061) + '\062' + chr(0b11101 + 0o24) + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101011 + 0o6) + chr(0b1101 + 0o47) + '\060', 56353 - 56345), ehT0Px3KOsy9(chr(0b110000) + chr(3723 - 3612) + '\x33' + chr(0b1001 + 0o54) + chr(0b110000), 10739 - 10731)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + '\065' + chr(0b110000), 30891 - 30883)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf'), chr(0b1001 + 0o133) + chr(0b1100101) + '\x63' + chr(0b11111 + 0o120) + '\x64' + '\x65')('\x75' + '\164' + chr(2950 - 2848) + '\055' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Blpim5Mlg6kf(wScpY1SrPa2R, B6TQhWekbimD, EEf4r9nUvta_=None, pfS5O3iUpFhz=None, AH1IQag9s8hy=None, HKXay_x3pZk5=xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xee\x0c\xa1\x8e\x82\xed\xf2'), chr(0b101011 + 0o71) + chr(101) + '\143' + '\157' + chr(100) + chr(0b1011 + 0o132))(chr(0b100101 + 0o120) + chr(1488 - 1372) + chr(102) + '\x2d' + chr(140 - 84)), pjHrSP33njCk=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\xee+\xba'), chr(0b1000100 + 0o40) + chr(101) + chr(99) + chr(9559 - 9448) + chr(3071 - 2971) + chr(0b1100101))('\165' + chr(116) + chr(0b110010 + 0o64) + chr(0b10101 + 0o30) + chr(56)), YnMMEu3waZTj=ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b110000), 5602 - 5594), DCpH_3Y2dTvl=ehT0Px3KOsy9('\060' + chr(0b111000 + 0o67) + chr(0b110001), 50322 - 50314), EOCd1WZj2r_S=(ehT0Px3KOsy9(chr(0b110000) + chr(0b0 + 0o157) + '\x32' + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011), 58801 - 58793)), TXIN88DEOnp8=None, dK1PF6FDl8jY=None, VOaNK7TojGg3=ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b100011 + 0o114) + chr(2046 - 1998), 8)): if PlSM16l2KDPD(wScpY1SrPa2R, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xee\x08\xbd\x88\x8a\xe0'), chr(0b1100100) + chr(8024 - 7923) + chr(99) + chr(1250 - 1139) + chr(1126 - 1026) + chr(5782 - 5681))(chr(766 - 649) + chr(0b1010 + 0o152) + '\x66' + chr(0b101101) + chr(3091 - 3035)))) and c2A0yzQpDQB3(wScpY1SrPa2R) == ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31', 8): wScpY1SrPa2R = wScpY1SrPa2R[ehT0Px3KOsy9('\x30' + chr(111) + '\060', 8)] if PlSM16l2KDPD(wScpY1SrPa2R, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xee\x08\xbd\x88\x8a\xe0'), chr(0b1001001 + 0o33) + chr(101) + '\x63' + chr(111) + chr(100) + chr(0b101000 + 0o75))(chr(0b110110 + 0o77) + chr(0b111011 + 0o71) + '\x66' + chr(45) + chr(56)))) or PlSM16l2KDPD(wScpY1SrPa2R, YyaZ4tpXu4lf): if not PlSM16l2KDPD(B6TQhWekbimD, YyaZ4tpXu4lf) or c2A0yzQpDQB3(B6TQhWekbimD) != c2A0yzQpDQB3(wScpY1SrPa2R): raise jLmadlzMdunT(xafqLlk3kkUe(SXOLrMavuUCe(b"\xa8\xe4I\xb9\xca\xc5\xab\xbb\x8c\xb3\n\xe2F\x0eMm\x91,n\xe8\x19]+\xce\xec[s\xb8\x95\x1e\xc0\x8e\t.\x0cb\x85\xec\x01\x9b\x84\xaa\x1f\xae\x96\x9e\xfc\xab\xcd\xa6E\xe4M\x0e2{\x941i\xbcWB=\x9c\xffSg\xb9\x99\x1e\x84\xdd}(\x1d'\xd6\xe6\x01\x98\xcf\xec\x06\xbd\x99\x8e\xc6\xfb\xc0\xba\x11\xb8@\x13bq\x9ct\xad\x05\x1c9\x96\xee[a\xb9\x99\x08\xfa\x8bH6\x11b\x89\xae\x13\x80\x80\xfa6\xb9\x9b\x87\xec\xee\xdf\xfcE\xffWKtr\x8fcw\xbd\x1bF5\xc3\xf1Kv\xbd\x89\x18\x85\x90F>\x01k\xd6\xae\x14\x9a\x98\xaa\x1a\xa7\x9b\x9b\xb7\xed\xc3\xa7\x06\xf5z\x1b~r\x89k\x7f\xb0\x07^=\x87\xf0[p\xe3\x99\x14\xd5\x98J.\x01c\xfa\xf8\x01\x84\x94\xef2\xff\xa7\xc7\xb9\xf8\xc4\xb4\x15\xcfS\n~h\x980A\xf8\x1br"), '\x64' + chr(101) + chr(0b1100011) + '\157' + chr(3263 - 3163) + '\145')(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(1561 - 1516) + '\070')) assert not PlSM16l2KDPD(B6TQhWekbimD, YyaZ4tpXu4lf), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5\xe2\x0c\xef\x89\x83\xf8\xfb\xf3\xa3\x04\xfcP\x0ea=\x9c1}\xe8\x1b]3\x85\xed\x1en\xa2\x93\x07\xd6\xddD/\x08s\xcc\xae\x0f\x9d\x95\xfa\x1c\xbb\xd6\xcb\xed\xf9\xd5\xf5\x16\xf8D\x1bMk\x9c/o\xad\x04i5\xb3\xb0'), chr(100) + chr(0b1011101 + 0o10) + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')(chr(13688 - 13571) + chr(116) + chr(0b111101 + 0o51) + chr(1713 - 1668) + '\x38') HKXay_x3pZk5 = VxVFIcmOmU0I(HKXay_x3pZk5) if not PlSM16l2KDPD(B6TQhWekbimD, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xee\x08\xbd\x88\x8a\xe0'), chr(0b1100100) + '\x65' + chr(99) + '\157' + '\x64' + chr(0b1100101))(chr(117) + '\x74' + chr(102) + '\055' + chr(0b1000 + 0o60)))): return xRTfTpsxhzHI(B6TQhWekbimD) if M8_cKLkHVB2V(wmQmyeWBmUpv(EEf4r9nUvta_)) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\xe9\x05\xae\x89\x98\xb9\xac\xdc\xb4\x0b\xf4D\x18<~\x921\x7f\xe6\x11@=\x83\xfb\x10F\xac\x88\r\xe3\x8fH7\x01 \x9b'), chr(100) + chr(1055 - 954) + chr(0b110101 + 0o56) + chr(0b1101111) + chr(0b10000 + 0o124) + chr(6193 - 6092))('\165' + '\x74' + chr(0b1100011 + 0o3) + '\055' + chr(1469 - 1413)): if pfS5O3iUpFhz is None: pfS5O3iUpFhz = YyaZ4tpXu4lf(EEf4r9nUvta_.qKlXBtn3PKy4) EEf4r9nUvta_ = EEf4r9nUvta_.SPnCNu54H1db elif M8_cKLkHVB2V(wmQmyeWBmUpv(EEf4r9nUvta_)) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\xe9\x05\xae\x89\x98\xb9\xac\xdc\xb4\x0b\xf4D\x18<~\x921\x7f\xe6\x04W.\x87\xfbM,\x9e\x99\x1e\xcc\x98Z}Z'), chr(100) + chr(0b100011 + 0o102) + chr(99) + chr(0b110101 + 0o72) + chr(5409 - 5309) + '\145')('\x75' + chr(173 - 57) + chr(8969 - 8867) + chr(0b11111 + 0o16) + chr(0b1010 + 0o56)): if pfS5O3iUpFhz is None: pfS5O3iUpFhz = YyaZ4tpXu4lf(EEf4r9nUvta_.XdowRbJKZWL9) EEf4r9nUvta_ = EEf4r9nUvta_.SPnCNu54H1db elif PlSM16l2KDPD(EEf4r9nUvta_, YyaZ4tpXu4lf): if pfS5O3iUpFhz is None: pfS5O3iUpFhz = EEf4r9nUvta_ EEf4r9nUvta_ = None elif EEf4r9nUvta_ is not None and c2A0yzQpDQB3(xafqLlk3kkUe(EEf4r9nUvta_, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xeb\x1c\x96\x9c\xa7\xfe\xe7\xf8\xa5\x06\xf2'), chr(9853 - 9753) + '\145' + '\143' + chr(111) + chr(0b1100100) + chr(0b11 + 0o142))('\165' + chr(0b1110100) + chr(4876 - 4774) + chr(0b10 + 0o53) + '\070'))) == ehT0Px3KOsy9('\060' + '\157' + chr(49), 8) and (pfS5O3iUpFhz is None): pfS5O3iUpFhz = EEf4r9nUvta_ EEf4r9nUvta_ = None if c2A0yzQpDQB3(xafqLlk3kkUe(B6TQhWekbimD, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xeb\x1c\x96\x9c\xa7\xfe\xe7\xf8\xa5\x06\xf2'), chr(0b1100100) + chr(0b11111 + 0o106) + chr(5851 - 5752) + chr(0b1000000 + 0o57) + chr(0b1100100) + chr(6850 - 6749))(chr(0b1110101) + '\x74' + '\x66' + chr(0b101101) + chr(56)))) == ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49), 8): B6TQhWekbimD = WqUC3KWvYVup.reshape(B6TQhWekbimD, (ehT0Px3KOsy9(chr(48) + chr(0b10 + 0o155) + '\061', 8), c2A0yzQpDQB3(B6TQhWekbimD))) if AH1IQag9s8hy is None: AH1IQag9s8hy = [xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\xff\x1d\xbf\x8f\x9f\xb9\xfd\xcd\xb9\x10\xf5'), '\x64' + chr(101) + chr(99) + chr(111) + chr(2368 - 2268) + '\145')('\x75' + chr(116) + chr(0b1100110) + chr(0b1011 + 0o42) + chr(0b1000 + 0o60))] elif PlSM16l2KDPD(AH1IQag9s8hy, M8_cKLkHVB2V): AH1IQag9s8hy = [AH1IQag9s8hy] if xafqLlk3kkUe(B6TQhWekbimD, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xeb\x1c\x96\x9c\xa7\xfe\xe7\xf8\xa5\x06\xf2'), '\x64' + chr(9104 - 9003) + '\x63' + chr(111) + chr(0b100 + 0o140) + '\145')(chr(117) + chr(0b1110100) + chr(102) + '\x2d' + chr(558 - 502)))[ehT0Px3KOsy9('\x30' + '\x6f' + '\060', 8)] == ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061', 8): if pfS5O3iUpFhz is None: pfS5O3iUpFhz = [uXMK81tmdpTM[xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7\xcf(\x9b\xaf\xb9\xdc'), chr(7570 - 7470) + chr(0b1010 + 0o133) + chr(2884 - 2785) + chr(111) + '\x64' + '\145')('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\070')] % M8_cKLkHVB2V(WVxHKyX45z_L) for WVxHKyX45z_L in vQr8gNKaIaWE(B6TQhWekbimD.nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b0 + 0o61), 8)])] if EEf4r9nUvta_ is None: EEf4r9nUvta_ = [xafqLlk3kkUe(SXOLrMavuUCe(b''), '\144' + chr(0b1001010 + 0o33) + chr(0b10011 + 0o120) + '\157' + chr(0b1100100) + chr(0b111011 + 0o52))(chr(117) + '\x74' + '\146' + chr(1585 - 1540) + chr(0b111000)) for VNGQdHSFPrso in vQr8gNKaIaWE(c2A0yzQpDQB3(pfS5O3iUpFhz))] if PlSM16l2KDPD(EEf4r9nUvta_, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xee\x08\xbd\x88\x8a\xe0'), chr(0b1000000 + 0o44) + chr(0b1100101) + chr(0b1010111 + 0o14) + chr(0b101 + 0o152) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1101101 + 0o7) + chr(102) + chr(0b101101) + chr(0b111000)))): EEf4r9nUvta_ = EEf4r9nUvta_.dbBtynT6oMgz() if c2A0yzQpDQB3(EEf4r9nUvta_) != xafqLlk3kkUe(B6TQhWekbimD, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xeb\x1c\x96\x9c\xa7\xfe\xe7\xf8\xa5\x06\xf2'), chr(0b101000 + 0o74) + chr(0b1100101) + '\x63' + '\157' + chr(100) + '\x65')(chr(0b1011101 + 0o30) + chr(0b1101111 + 0o5) + chr(0b1100110) + '\055' + chr(2487 - 2431)))[ehT0Px3KOsy9(chr(1179 - 1131) + chr(111) + chr(0b110001), 8)]: jtbovtaIYjRB = xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\xef\x07\xa8\x8e\x83\xb9\xe4\xca\xf5\x03\xf5D\x1fgo\x980:\xa1\x04\x122\x81\xea\x1eg\xbc\x89\r\xc9\xdd]5Ds\xcd\xeb@\x84\x84\xe4\x0e\xbb\x92\xcb\xf6\xed\x8c\xa6\r\xf1U4d\|\x916\x7f\xbbV'), chr(1781 - 1681) + chr(101) + chr(6446 - 6347) + chr(4577 - 4466) + chr(100) + chr(0b1010110 + 0o17))(chr(0b1011111 + 0o26) + chr(10995 - 10879) + chr(7995 - 7893) + '\055' + '\070') if c2A0yzQpDQB3(EEf4r9nUvta_) == xafqLlk3kkUe(B6TQhWekbimD, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xeb\x1c\x96\x9c\xa7\xfe\xe7\xf8\xa5\x06\xf2'), '\144' + '\x65' + chr(99) + chr(1486 - 1375) + '\144' + chr(0b1100101))(chr(117) + chr(0b10000 + 0o144) + chr(102) + chr(0b101 + 0o50) + '\070'))[ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(0b110001), 8)] - ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49), 8): jtbovtaIYjRB += xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1\xd3\x06\xba\xda\x86\xf0\xec\xc4\xa1E\xf2@Kgn\x94-}\xe8\x16\\\|\x81\xf2Z"\xab\x93\x1e\xc8\x9c]z\x17o\xc4\xfe?\x9e\x80\xe6\x1c\xaa\x89\xcb\xf8\xf9\xde\xb4\x1c\xb0R\x02fu\xdd7r\xadWP=\x9d\xfb\x1et\xac\x90\x19\xc0\xddH)Ds\xcd\xeb@\x84\x80\xf9\x1d\xef\x99\x84\xf5\xfe\xc1\xbbK\xb0l\x052i\x95*i\xe8\x14S/\x8b\xbeTw\xbe\x88L\xd5\x9cZ)Ds\xcd\xeb@\x89\x93\xf8\x08\xb6\xda\x9c\xf0\xff\xc4\xba\x10\xe4\x05\x1fzx\xdd/{\xbb\x03\x12?\x81\xf2Ko\xa3\xd2'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1000111 + 0o50) + chr(0b1000111 + 0o35) + '\x65')('\x75' + chr(116) + chr(9223 - 9121) + chr(45) + chr(56)) raise jLmadlzMdunT(jtbovtaIYjRB) SsX6bRqJdu1L = _jFYXBmhzM0H(WqUC3KWvYVup.zeros((ehT0Px3KOsy9('\060' + chr(0b1101011 + 0o4) + chr(0b101011 + 0o6), 8), c2A0yzQpDQB3(pfS5O3iUpFhz))), EEf4r9nUvta_) GlnVAPeT6CUe = L5Zku9feqS6q(wScpY1SrPa2R, WqUC3KWvYVup.xkxBmo49x2An(B6TQhWekbimD[ehT0Px3KOsy9(chr(1682 - 1634) + chr(8010 - 7899) + '\060', 8), :]) + wScpY1SrPa2R, B6TQhWekbimD[ehT0Px3KOsy9(chr(48) + '\157' + '\060', 8), :], None, SsX6bRqJdu1L, HKXay_x3pZk5, JC8lDcRGu6X6(None, AH1IQag9s8hy), Mr0JRED8M_3Q(WqUC3KWvYVup.zeros((ehT0Px3KOsy9('\x30' + chr(111) + '\061', 8), c2A0yzQpDQB3(pfS5O3iUpFhz))), YyaZ4tpXu4lf(pfS5O3iUpFhz))) return xRTfTpsxhzHI(GlnVAPeT6CUe, pjHrSP33njCk, YnMMEu3waZTj, figsize=EOCd1WZj2r_S, show=DCpH_3Y2dTvl, text_rotation=VOaNK7TojGg3) else: if YnMMEu3waZTj: raise jLmadlzMdunT(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\xeb\x1d\xbf\x96\x84\xed\xe7\xc5\xb7E\xad\x05?`h\x98cs\xbbW\\3\x9a\xbeGg\xb9\xdc\x1f\xd0\x8dY5\x16s\xc0\xea@\x8e\x8e\xf8I\xa9\x95\x99\xfa\xee\x8c\xa5\t\xffQ\x182j\x947r\xe8\x1aG0\x9a\xf7Nn\xa8\xdc\x1f\xc4\x90Y6\x01t\x84'), chr(0b1100011 + 0o1) + chr(8050 - 7949) + chr(0b101010 + 0o71) + chr(0b1101111) + '\x64' + '\145')(chr(117) + '\x74' + '\x66' + chr(0b101000 + 0o5) + chr(0b101111 + 0o11))) if xafqLlk3kkUe(B6TQhWekbimD, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xeb\x1c\x96\x9c\xa7\xfe\xe7\xf8\xa5\x06\xf2'), '\x64' + chr(0b1001010 + 0o33) + chr(7100 - 7001) + '\x6f' + '\x64' + '\145')(chr(117) + chr(116) + '\146' + chr(45) + chr(56)))[ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(48), 8)] > ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + '\x35' + chr(1421 - 1367) + '\x37' + chr(0b1110 + 0o42), 0o10): xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xce,\xa1\xb4\xa9\xf8\xe9\xea\x9b.\xfd'), chr(0b1100100) + chr(5455 - 5354) + '\x63' + chr(111) + chr(2923 - 2823) + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x92\xe2\x08\xbf\xd4\x8d\xf6\xf9\xcf\xb0:\xe0I\x04f=\x940:\xbb\x1b]+\xce\xf8Qp\xed\x91\r\xcb\x84\t.\x0ch\xd0\xfd\x01\x86\x85\xf9I\xa0\x9c\xcb\xeb\xe4\xdb\xa6I\xb0Q\x19k=\x8e6x\xbb\x16_,\x82\xf7Pe\xed\x85\x03\xd0\x8f\t>\x05s\xc4\xa0'), chr(0b1100100) + chr(0b11001 + 0o114) + '\x63' + chr(0b1010001 + 0o36) + '\x64' + chr(101))(chr(117) + chr(0b1110100) + '\146' + chr(573 - 528) + '\x38')) hATdDg_3gSYc = [] for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(B6TQhWekbimD, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\xeb\x1c\x96\x9c\xa7\xfe\xe7\xf8\xa5\x06\xf2'), '\144' + chr(7168 - 7067) + chr(4494 - 4395) + '\157' + chr(8037 - 7937) + '\x65')(chr(0b1110101) + '\x74' + chr(102) + '\x2d' + '\x38'))[ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(0b110000), 8)]): if pfS5O3iUpFhz is None: pfS5O3iUpFhz = [uXMK81tmdpTM[xafqLlk3kkUe(SXOLrMavuUCe(b'\xa7\xcf(\x9b\xaf\xb9\xdc'), chr(0b1100100) + chr(101) + chr(0b110000 + 0o63) + '\x6f' + '\x64' + chr(1051 - 950))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b100101 + 0o10) + chr(478 - 422))] % M8_cKLkHVB2V(WVxHKyX45z_L) for WVxHKyX45z_L in vQr8gNKaIaWE(B6TQhWekbimD.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1100011 + 0o14) + chr(49), 8)])] if EEf4r9nUvta_ is None: SAqdN3zvSO9g = [xafqLlk3kkUe(SXOLrMavuUCe(b''), '\144' + chr(0b1100101) + '\143' + chr(0b1101111) + chr(0b100011 + 0o101) + chr(101))(chr(117) + chr(0b1110100) + '\146' + '\055' + chr(1314 - 1258)) for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(pfS5O3iUpFhz))] else: SAqdN3zvSO9g = EEf4r9nUvta_[WVxHKyX45z_L, :] SsX6bRqJdu1L = _jFYXBmhzM0H(WqUC3KWvYVup.ones((ehT0Px3KOsy9(chr(0b110000) + chr(12251 - 12140) + chr(0b101 + 0o54), 8), c2A0yzQpDQB3(pfS5O3iUpFhz))), SAqdN3zvSO9g) GlnVAPeT6CUe = L5Zku9feqS6q(wScpY1SrPa2R, WqUC3KWvYVup.xkxBmo49x2An(B6TQhWekbimD[WVxHKyX45z_L, :]) + wScpY1SrPa2R, B6TQhWekbimD[WVxHKyX45z_L, :], None, SsX6bRqJdu1L, HKXay_x3pZk5, JC8lDcRGu6X6(None, AH1IQag9s8hy), Mr0JRED8M_3Q(WqUC3KWvYVup.ones((ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(656 - 607), 8), c2A0yzQpDQB3(pfS5O3iUpFhz))), YyaZ4tpXu4lf(pfS5O3iUpFhz))) xafqLlk3kkUe(hATdDg_3gSYc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x80\xfa\x19\xaa\x94\x8f'), chr(100) + '\x65' + '\143' + '\x6f' + '\x64' + '\x65')(chr(8893 - 8776) + chr(0b1110100) + chr(102) + '\055' + chr(0b100010 + 0o26)))(GlnVAPeT6CUe) return xRTfTpsxhzHI(hATdDg_3gSYc, plot_cmap=pjHrSP33njCk, ordering_keys=TXIN88DEOnp8, ordering_keys_time_format=dK1PF6FDl8jY, text_rotation=VOaNK7TojGg3)
slundberg/shap	shap/plots/force.py	save_html	def save_html(out_file, plot_html): """ Save html plots to an output file. """ internal_open = False if type(out_file) == str: out_file = open(out_file, "w") internal_open = True out_file.write("<html><head><script>\n") # dump the js code bundle_path = os.path.join(os.path.split(__file__)[0], "resources", "bundle.js") with io.open(bundle_path, encoding="utf-8") as f: bundle_data = f.read() out_file.write(bundle_data) out_file.write("</script></head><body>\n") out_file.write(plot_html.data) out_file.write("</body></html>\n") if internal_open: out_file.close()	python	def save_html(out_file, plot_html): """ Save html plots to an output file. """ internal_open = False if type(out_file) == str: out_file = open(out_file, "w") internal_open = True out_file.write("<html><head><script>\n") # dump the js code bundle_path = os.path.join(os.path.split(__file__)[0], "resources", "bundle.js") with io.open(bundle_path, encoding="utf-8") as f: bundle_data = f.read() out_file.write(bundle_data) out_file.write("</script></head><body>\n") out_file.write(plot_html.data) out_file.write("</body></html>\n") if internal_open: out_file.close()	[ "def", "save_html", "(", "out_file", ",", "plot_html", ")", ":", "internal_open", "=", "False", "if", "type", "(", "out_file", ")", "==", "str", ":", "out_file", "=", "open", "(", "out_file", ",", "\"w\"", ")", "internal_open", "=", "True", "out_file", ".", "write", "(", "\"<html><head><script>\\n\"", ")", "# dump the js code", "bundle_path", "=", "os", ".", "path", ".", "join", "(", "os", ".", "path", ".", "split", "(", "__file__", ")", "[", "0", "]", ",", "\"resources\"", ",", "\"bundle.js\"", ")", "with", "io", ".", "open", "(", "bundle_path", ",", "encoding", "=", "\"utf-8\"", ")", "as", "f", ":", "bundle_data", "=", "f", ".", "read", "(", ")", "out_file", ".", "write", "(", "bundle_data", ")", "out_file", ".", "write", "(", "\"</script></head><body>\\n\"", ")", "out_file", ".", "write", "(", "plot_html", ".", "data", ")", "out_file", ".", "write", "(", "\"</body></html>\\n\"", ")", "if", "internal_open", ":", "out_file", ".", "close", "(", ")" ]	Save html plots to an output file.	[ "Save", "html", "plots", "to", "an", "output", "file", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/plots/force.py#L217-L239	train	Save html plots to an output file.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1319 - 1271) + chr(8009 - 7898) + chr(0b110010) + chr(0b110010) + chr(0b0 + 0o66), 14691 - 14683), ehT0Px3KOsy9(chr(48) + chr(3279 - 3168) + '\x32' + chr(0b110111) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + '\x31' + '\062' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1129 - 1076) + chr(51), 0o10), ehT0Px3KOsy9(chr(2257 - 2209) + chr(111) + chr(1850 - 1801) + chr(2125 - 2076) + chr(2619 - 2567), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111111 + 0o60) + '\x31' + chr(0b101 + 0o55) + chr(0b100 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6302 - 6191) + '\062' + chr(0b110011) + chr(0b100001 + 0o24), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b110001) + '\066' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(51) + chr(49) + chr(2090 - 2037), 49419 - 49411), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + '\x31' + chr(0b110100) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1378 - 1329) + chr(48) + chr(0b10110 + 0o35), 32990 - 32982), ehT0Px3KOsy9(chr(48) + chr(0b1010001 + 0o36) + '\x31' + '\x33' + chr(0b110010 + 0o2), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1 + 0o156) + '\061' + chr(0b10110 + 0o37) + chr(0b110110), 57518 - 57510), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + chr(50) + chr(0b1000 + 0o55) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1111 + 0o42) + '\060' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b110010) + chr(1151 - 1101), 0b1000), ehT0Px3KOsy9(chr(1096 - 1048) + chr(0b1010100 + 0o33) + '\062' + chr(0b10000 + 0o47) + chr(2578 - 2526), 8), ehT0Px3KOsy9(chr(1797 - 1749) + '\x6f' + chr(0b100101 + 0o14) + '\x36' + chr(0b100110 + 0o14), 0b1000), ehT0Px3KOsy9(chr(857 - 809) + chr(111) + chr(0b11110 + 0o23) + '\x33' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11000 + 0o127) + '\x31' + '\060' + chr(53), 2098 - 2090), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10101 + 0o34) + '\x34' + chr(0b110110), 5277 - 5269), ehT0Px3KOsy9(chr(1068 - 1020) + '\157' + chr(0b101 + 0o55) + chr(48) + '\066', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061', 26569 - 26561), ehT0Px3KOsy9('\060' + '\x6f' + chr(1986 - 1935), 12522 - 12514), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(54) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101111 + 0o2) + chr(0b110001) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101011 + 0o4) + chr(1911 - 1860) + chr(1187 - 1136) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(517 - 466) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(518 - 469) + '\x37' + '\x33', 0o10), ehT0Px3KOsy9(chr(665 - 617) + chr(7514 - 7403) + chr(0b100000 + 0o22), 18675 - 18667), ehT0Px3KOsy9(chr(721 - 673) + chr(0b1101111) + chr(0b110001) + chr(580 - 525) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(0b1 + 0o62) + chr(49) + chr(53), 8), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(51) + '\060' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(1756 - 1708) + chr(0b1000101 + 0o52) + chr(50) + chr(51) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + '\x31' + chr(0b101111 + 0o6), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\x34' + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + chr(0b10000 + 0o42) + chr(0b110110) + '\063', 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + '\061' + chr(0b110101) + '\063', 0b1000), ehT0Px3KOsy9(chr(757 - 709) + '\x6f' + chr(50) + chr(0b101111 + 0o3) + chr(254 - 204), 64023 - 64015), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(9632 - 9521) + '\062' + chr(0b10111 + 0o40) + chr(0b100100 + 0o17), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(0b110101) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8'), chr(0b1100100) + '\145' + chr(99) + chr(0b1010011 + 0o34) + chr(0b1100100) + chr(101))('\165' + chr(0b1110100) + chr(9248 - 9146) + chr(0b10100 + 0o31) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def R9Weh0_13zko(U8wA4lU_TKCc, wcXKf7tjfwBe): IzJKgWrk8lh9 = ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(48), 29884 - 29876) if PlSM16l2KDPD(U8wA4lU_TKCc, M8_cKLkHVB2V): U8wA4lU_TKCc = _fwkIVCGgtAN(U8wA4lU_TKCc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1'), chr(0b101000 + 0o74) + chr(0b1100101) + chr(0b1100011) + chr(9383 - 9272) + '\144' + '\145')('\165' + chr(0b1110100) + chr(2055 - 1953) + chr(1049 - 1004) + chr(1346 - 1290))) IzJKgWrk8lh9 = ehT0Px3KOsy9(chr(48) + chr(6059 - 5948) + chr(1394 - 1345), 8) xafqLlk3kkUe(U8wA4lU_TKCc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xce>_)'), chr(100) + '\145' + '\143' + chr(0b1101111) + '\x64' + chr(101))(chr(0b1100100 + 0o21) + chr(5442 - 5326) + chr(9331 - 9229) + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\xd4#F n\xa1\x19\xa8\x04\'bR\xde" \xd5\x02*{l'), '\144' + chr(101) + '\x63' + '\x6f' + '\x64' + chr(0b1000011 + 0o42))('\165' + chr(0b1110100) + '\x66' + chr(1662 - 1617) + '\070')) nM4E5hGnJe5u = oqhJDdMJfuwx.path._oWXztVNnqHF(oqhJDdMJfuwx.path.split(tmzuw0hjv33u)[ehT0Px3KOsy9(chr(1512 - 1464) + chr(111) + chr(48), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\xd9$D9"\xfe\x14\xbe'), chr(0b1111 + 0o125) + chr(101) + '\143' + chr(0b1100100 + 0o13) + chr(100) + '\x65')('\x75' + chr(0b110101 + 0o77) + chr(0b1100110) + chr(0b101101) + chr(0b11000 + 0o40)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xc99O 5\xb3\x1b\xbe'), '\x64' + '\145' + chr(99) + chr(111) + '\144' + chr(0b1110 + 0o127))('\165' + '\164' + chr(0b1100110) + chr(699 - 654) + '\x38')) with xafqLlk3kkUe(Bey9a5LqdaFa, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf9\xcc2E'), chr(0b110001 + 0o63) + chr(0b1100101) + chr(0b1111 + 0o124) + chr(111) + chr(0b10011 + 0o121) + '\x65')(chr(7095 - 6978) + '\164' + chr(504 - 402) + chr(0b101101) + chr(0b1 + 0o67)))(nM4E5hGnJe5u, encoding=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xc81\x06t'), '\x64' + chr(0b1100101) + chr(3570 - 3471) + chr(0b1101111) + chr(5432 - 5332) + chr(0b101010 + 0o73))('\165' + '\164' + chr(102) + chr(45) + chr(56))) as EGyt1xfPT1P6: fye1kYE1Kttt = EGyt1xfPT1P6.U6MiWrhuCi2Y() xafqLlk3kkUe(U8wA4lU_TKCc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xce>_)'), chr(100) + chr(7240 - 7139) + chr(8340 - 8241) + '\x6f' + '\x64' + '\x65')('\165' + chr(0b100101 + 0o117) + chr(102) + '\x2d' + chr(0b111000)))(fye1kYE1Kttt) xafqLlk3kkUe(U8wA4lU_TKCc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xce>_)'), chr(9545 - 9445) + chr(0b1100101) + '\x63' + '\x6f' + '\x64' + chr(101))(chr(6977 - 6860) + chr(10241 - 10125) + chr(715 - 613) + chr(0b11011 + 0o22) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\x93$H>9\xed\x05\xf3Yl4\x0b\xcc%l\x80\x101!\x1f\xb8\x0b'), chr(0b1100100) + chr(0b1010000 + 0o25) + '\143' + chr(5528 - 5417) + chr(3401 - 3301) + '\145')(chr(117) + chr(10445 - 10329) + chr(0b1100110) + '\x2d' + chr(56))) xafqLlk3kkUe(U8wA4lU_TKCc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xce>_)'), chr(0b110101 + 0o57) + chr(101) + '\143' + chr(0b1101111) + chr(100) + chr(101))(chr(0b1100101 + 0o20) + '\164' + '\146' + chr(1581 - 1536) + chr(0b111000)))(xafqLlk3kkUe(wcXKf7tjfwBe, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\xf09A<f\xd9G\xa8\x03\x05\x14'), '\144' + '\145' + chr(0b110 + 0o135) + chr(1501 - 1390) + '\x64' + chr(0b1100101))(chr(0b1010011 + 0o42) + chr(11116 - 11000) + chr(8744 - 8642) + '\055' + '\x38'))) xafqLlk3kkUe(U8wA4lU_TKCc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xce>_)'), chr(0b1010111 + 0o15) + '\x65' + chr(0b1000100 + 0o37) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\165' + '\x74' + '\x66' + '\x2d' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa\x935D()\xa3M\xe2\r71\x02\x93K'), '\x64' + chr(8727 - 8626) + chr(0b1010001 + 0o22) + chr(0b1101111) + '\x64' + chr(0b1001001 + 0o34))(chr(0b1110101) + '\164' + chr(4324 - 4222) + chr(45) + chr(0b111000))) if IzJKgWrk8lh9: xafqLlk3kkUe(U8wA4lU_TKCc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xd08X)'), chr(8145 - 8045) + '\145' + chr(99) + '\157' + chr(5873 - 5773) + chr(0b1001001 + 0o34))(chr(2730 - 2613) + chr(0b1110100) + '\x66' + '\055' + chr(0b111000)))()
slundberg/shap	shap/explainers/deep/deep_tf.py	tensors_blocked_by_false	def tensors_blocked_by_false(ops): """ Follows a set of ops assuming their value is False and find blocked Switch paths. This is used to prune away parts of the model graph that are only used during the training phase (like dropout, batch norm, etc.). """ blocked = [] def recurse(op): if op.type == "Switch": blocked.append(op.outputs[1]) # the true path is blocked since we assume the ops we trace are False else: for out in op.outputs: for c in out.consumers(): recurse(c) for op in ops: recurse(op) return blocked	python	def tensors_blocked_by_false(ops): """ Follows a set of ops assuming their value is False and find blocked Switch paths. This is used to prune away parts of the model graph that are only used during the training phase (like dropout, batch norm, etc.). """ blocked = [] def recurse(op): if op.type == "Switch": blocked.append(op.outputs[1]) # the true path is blocked since we assume the ops we trace are False else: for out in op.outputs: for c in out.consumers(): recurse(c) for op in ops: recurse(op) return blocked	[ "def", "tensors_blocked_by_false", "(", "ops", ")", ":", "blocked", "=", "[", "]", "def", "recurse", "(", "op", ")", ":", "if", "op", ".", "type", "==", "\"Switch\"", ":", "blocked", ".", "append", "(", "op", ".", "outputs", "[", "1", "]", ")", "# the true path is blocked since we assume the ops we trace are False", "else", ":", "for", "out", "in", "op", ".", "outputs", ":", "for", "c", "in", "out", ".", "consumers", "(", ")", ":", "recurse", "(", "c", ")", "for", "op", "in", "ops", ":", "recurse", "(", "op", ")", "return", "blocked" ]	Follows a set of ops assuming their value is False and find blocked Switch paths. This is used to prune away parts of the model graph that are only used during the training phase (like dropout, batch norm, etc.).	[ "Follows", "a", "set", "of", "ops", "assuming", "their", "value", "is", "False", "and", "find", "blocked", "Switch", "paths", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/deep/deep_tf.py#L290-L307	train	Follows a set of ops assuming their value is False and finds blocked Switch paths.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1200 - 1152) + chr(7908 - 7797) + '\061' + chr(1496 - 1448) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101101 + 0o5) + chr(0b0 + 0o62) + chr(0b101111 + 0o4), 54406 - 54398), ehT0Px3KOsy9('\060' + chr(11462 - 11351) + chr(0b110100) + chr(2044 - 1993), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b1100 + 0o45) + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1223 - 1172) + chr(0b100001 + 0o21) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(49) + chr(0b111 + 0o55), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b1010 + 0o50) + chr(0b110011) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + chr(1223 - 1169), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x36', 0o10), ehT0Px3KOsy9(chr(987 - 939) + chr(7150 - 7039) + chr(51) + chr(0b100000 + 0o26) + chr(52), 39701 - 39693), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110100) + chr(0b110001 + 0o1), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1111 + 0o43) + chr(0b1 + 0o63) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b1010 + 0o47) + chr(0b10101 + 0o36), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(8617 - 8506) + chr(50) + chr(0b100010 + 0o17) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100101 + 0o12) + chr(194 - 144) + chr(1272 - 1220) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11110 + 0o25) + chr(756 - 707) + chr(0b110011), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b101000 + 0o12) + '\x37' + chr(0b100 + 0o54), 155 - 147), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\062' + chr(1655 - 1605), 8), ehT0Px3KOsy9(chr(877 - 829) + chr(893 - 782) + chr(0b10000 + 0o42) + '\067' + '\061', 0o10), ehT0Px3KOsy9(chr(2273 - 2225) + chr(9824 - 9713) + chr(49) + chr(0b110000) + chr(0b110010), 33169 - 33161), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + '\062' + chr(0b10101 + 0o42) + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\x32' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + '\x33' + chr(51) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001 + 0o1) + chr(0b100010 + 0o20) + '\x33', 8), ehT0Px3KOsy9(chr(674 - 626) + '\x6f' + chr(0b101010 + 0o7) + chr(0b110111) + chr(1003 - 954), 17578 - 17570), ehT0Px3KOsy9('\060' + chr(0b1000000 + 0o57) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b110101) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(48), 0o10), ehT0Px3KOsy9(chr(2219 - 2171) + chr(0b1111 + 0o140) + chr(0b110001) + chr(867 - 819) + chr(308 - 257), 0o10), ehT0Px3KOsy9(chr(48) + chr(8529 - 8418) + chr(0b110010) + chr(0b11101 + 0o32) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10 + 0o60) + chr(662 - 611) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(0b1101 + 0o44), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(1922 - 1869) + chr(0b10000 + 0o41), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000 + 0o147) + chr(49) + chr(0b10011 + 0o42) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + '\x37' + '\x34', 0o10), ehT0Px3KOsy9(chr(1871 - 1823) + chr(9501 - 9390) + '\061' + chr(1350 - 1295) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11024 - 10913) + '\x33' + chr(0b110001) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\x33' + chr(0b10000 + 0o45), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b1 + 0o57) + '\064', 28084 - 28076), ehT0Px3KOsy9('\060' + '\157' + chr(1819 - 1769) + chr(0b10000 + 0o45) + chr(0b110100), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1667 - 1619) + chr(0b101000 + 0o107) + '\065' + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'n'), chr(0b1100100) + chr(101) + chr(0b1100011) + '\x6f' + '\x64' + chr(8070 - 7969))('\x75' + '\x74' + '\x66' + chr(1288 - 1243) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def d9duasK7kVQZ(_nu2um5Q5WJf): R9fTrYKQX98h = [] def Lt8NBqJCHzwp(C8dAr6Ujq2Tn): if xafqLlk3kkUe(C8dAr6Ujq2Tn, xafqLlk3kkUe(SXOLrMavuUCe(b'7\xfer!\xab\xe9\xc8lk\xa1R\xd1'), chr(0b111111 + 0o45) + chr(0b1100101) + '\143' + chr(111) + chr(0b1100100) + chr(8601 - 8500))(chr(3736 - 3619) + chr(0b1011 + 0o151) + chr(0b1011010 + 0o14) + chr(45) + '\x38')) == xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\xe4J8\xb1\xe4'), '\x64' + chr(101) + '\x63' + chr(0b1101111) + '\x64' + chr(101))('\165' + chr(0b1110100) + '\x66' + chr(45) + chr(56)): xafqLlk3kkUe(R9fTrYKQX98h, xafqLlk3kkUe(SXOLrMavuUCe(b'!\xe3S)\xbc\xe8'), chr(0b1100100) + '\145' + '\143' + '\x6f' + chr(0b1000111 + 0o35) + chr(8138 - 8037))('\165' + chr(0b101101 + 0o107) + '\x66' + chr(45) + chr(1113 - 1057)))(xafqLlk3kkUe(C8dAr6Ujq2Tn, xafqLlk3kkUe(SXOLrMavuUCe(b'\x04\xeb\|\x08\xbe\xe0\xc5\x16s\xb7I\xc8'), chr(0b1000001 + 0o43) + '\x65' + '\x63' + chr(6540 - 6429) + chr(0b1100100) + chr(0b1100101))(chr(0b1010010 + 0o43) + chr(2093 - 1977) + chr(0b1100110) + chr(0b11101 + 0o20) + chr(537 - 481)))[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2025 - 1976), ord("\x08"))]) else: for UkrMp_I0RDmo in xafqLlk3kkUe(C8dAr6Ujq2Tn, xafqLlk3kkUe(SXOLrMavuUCe(b'\x04\xeb\|\x08\xbe\xe0\xc5\x16s\xb7I\xc8'), chr(0b10100 + 0o120) + chr(0b100 + 0o141) + chr(0b1100011) + chr(0b1101111) + chr(0b10 + 0o142) + chr(0b1100101))(chr(117) + '\x74' + '\x66' + chr(45) + chr(0b101010 + 0o16))): for qzn1Ctg9WgNh in xafqLlk3kkUe(UkrMp_I0RDmo, xafqLlk3kkUe(SXOLrMavuUCe(b'#\xfcM?\xa7\xe1\xfa\\u'), chr(0b1100100) + '\145' + chr(99) + chr(0b1011101 + 0o22) + '\x64' + '\145')(chr(0b10001 + 0o144) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\x38'))(): Lt8NBqJCHzwp(qzn1Ctg9WgNh) for C8dAr6Ujq2Tn in _nu2um5Q5WJf: Lt8NBqJCHzwp(C8dAr6Ujq2Tn) return R9fTrYKQX98h
slundberg/shap	shap/explainers/deep/deep_tf.py	softmax	def softmax(explainer, op, grads): """ Just decompose softmax into its components and recurse, we can handle all of them :) We assume the 'axis' is the last dimension because the TF codebase swaps the 'axis' to the last dimension before the softmax op if 'axis' is not already the last dimension. We also don't subtract the max before tf.exp for numerical stability since that might mess up the attributions and it seems like TensorFlow doesn't define softmax that way (according to the docs) """ in0 = op.inputs[0] in0_max = tf.reduce_max(in0, axis=-1, keepdims=True, name="in0_max") in0_centered = in0 - in0_max evals = tf.exp(in0_centered, name="custom_exp") rsum = tf.reduce_sum(evals, axis=-1, keepdims=True) div = evals / rsum explainer.between_ops.extend([evals.op, rsum.op, div.op, in0_centered.op]) # mark these as in-between the inputs and outputs out = tf.gradients(div, in0_centered, grad_ys=grads[0])[0] del explainer.between_ops[-4:] # rescale to account for our shift by in0_max (which we did for numerical stability) xin0,rin0 = tf.split(in0, 2) xin0_centered,rin0_centered = tf.split(in0_centered, 2) delta_in0 = xin0 - rin0 dup0 = [2] + [1 for i in delta_in0.shape[1:]] return tf.where( tf.tile(tf.abs(delta_in0), dup0) < 1e-6, out, out tf.tile((xin0_centered - rin0_centered) / delta_in0, dup0) )	python	def softmax(explainer, op, grads): """ Just decompose softmax into its components and recurse, we can handle all of them :) We assume the 'axis' is the last dimension because the TF codebase swaps the 'axis' to the last dimension before the softmax op if 'axis' is not already the last dimension. We also don't subtract the max before tf.exp for numerical stability since that might mess up the attributions and it seems like TensorFlow doesn't define softmax that way (according to the docs) """ in0 = op.inputs[0] in0_max = tf.reduce_max(in0, axis=-1, keepdims=True, name="in0_max") in0_centered = in0 - in0_max evals = tf.exp(in0_centered, name="custom_exp") rsum = tf.reduce_sum(evals, axis=-1, keepdims=True) div = evals / rsum explainer.between_ops.extend([evals.op, rsum.op, div.op, in0_centered.op]) # mark these as in-between the inputs and outputs out = tf.gradients(div, in0_centered, grad_ys=grads[0])[0] del explainer.between_ops[-4:] # rescale to account for our shift by in0_max (which we did for numerical stability) xin0,rin0 = tf.split(in0, 2) xin0_centered,rin0_centered = tf.split(in0_centered, 2) delta_in0 = xin0 - rin0 dup0 = [2] + [1 for i in delta_in0.shape[1:]] return tf.where( tf.tile(tf.abs(delta_in0), dup0) < 1e-6, out, out tf.tile((xin0_centered - rin0_centered) / delta_in0, dup0) )	[ "def", "softmax", "(", "explainer", ",", "op", ",", "", "grads", ")", ":", "in0", "=", "op", ".", "inputs", "[", "0", "]", "in0_max", "=", "tf", ".", "reduce_max", "(", "in0", ",", "axis", "=", "-", "1", ",", "keepdims", "=", "True", ",", "name", "=", "\"in0_max\"", ")", "in0_centered", "=", "in0", "-", "in0_max", "evals", "=", "tf", ".", "exp", "(", "in0_centered", ",", "name", "=", "\"custom_exp\"", ")", "rsum", "=", "tf", ".", "reduce_sum", "(", "evals", ",", "axis", "=", "-", "1", ",", "keepdims", "=", "True", ")", "div", "=", "evals", "/", "rsum", "explainer", ".", "between_ops", ".", "extend", "(", "[", "evals", ".", "op", ",", "rsum", ".", "op", ",", "div", ".", "op", ",", "in0_centered", ".", "op", "]", ")", "# mark these as in-between the inputs and outputs", "out", "=", "tf", ".", "gradients", "(", "div", ",", "in0_centered", ",", "grad_ys", "=", "grads", "[", "0", "]", ")", "[", "0", "]", "del", "explainer", ".", "between_ops", "[", "-", "4", ":", "]", "# rescale to account for our shift by in0_max (which we did for numerical stability)", "xin0", ",", "rin0", "=", "tf", ".", "split", "(", "in0", ",", "2", ")", "xin0_centered", ",", "rin0_centered", "=", "tf", ".", "split", "(", "in0_centered", ",", "2", ")", "delta_in0", "=", "xin0", "-", "rin0", "dup0", "=", "[", "2", "]", "+", "[", "1", "for", "i", "in", "delta_in0", ".", "shape", "[", "1", ":", "]", "]", "return", "tf", ".", "where", "(", "tf", ".", "tile", "(", "tf", ".", "abs", "(", "delta_in0", ")", ",", "dup0", ")", "<", "1e-6", ",", "out", ",", "out", "", "tf", ".", "tile", "(", "(", "xin0_centered", "-", "rin0_centered", ")", "/", "delta_in0", ",", "dup0", ")", ")" ]	Just decompose softmax into its components and recurse, we can handle all of them :) We assume the 'axis' is the last dimension because the TF codebase swaps the 'axis' to the last dimension before the softmax op if 'axis' is not already the last dimension. We also don't subtract the max before tf.exp for numerical stability since that might mess up the attributions and it seems like TensorFlow doesn't define softmax that way (according to the docs)	[ "Just", "decompose", "softmax", "into", "its", "components", "and", "recurse", "we", "can", "handle", "all", "of", "them", ":", ")" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/deep/deep_tf.py#L335-L363	train	This function takes a softmax op and returns a tuple of the components that can be used to create a new graph.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(7686 - 7575) + chr(2601 - 2550) + chr(1182 - 1132) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11110 + 0o23) + '\x32' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(9536 - 9425) + chr(51) + '\063' + chr(0b110011 + 0o4), 60719 - 60711), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(314 - 264) + chr(0b110101) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(1588 - 1539) + chr(0b1011 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(1704 - 1654) + '\x30' + '\x32', 0o10), ehT0Px3KOsy9(chr(982 - 934) + '\x6f' + '\x33' + chr(0b110111) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1035 - 987) + chr(0b1000111 + 0o50) + chr(389 - 339) + chr(0b110111) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(995 - 947) + '\x6f' + chr(0b110001) + chr(186 - 136) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(1422 - 1371) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\x33' + '\063', 41095 - 41087), ehT0Px3KOsy9(chr(1785 - 1737) + chr(10044 - 9933) + '\x31' + chr(53) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(12163 - 12052) + '\x32' + '\x33' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(783 - 735) + chr(0b11010 + 0o125) + chr(840 - 791) + chr(0b110100) + chr(1467 - 1415), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011000 + 0o27) + '\x37' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b111111 + 0o60) + '\x33' + chr(48) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110101) + chr(0b110010), 29482 - 29474), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x37' + chr(620 - 569), 0o10), ehT0Px3KOsy9('\x30' + chr(534 - 423) + chr(0b1110 + 0o43) + chr(55) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(3718 - 3607) + chr(0b110001) + chr(0b101001 + 0o14) + chr(0b100001 + 0o23), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(2726 - 2671) + chr(0b110100), 63429 - 63421), ehT0Px3KOsy9(chr(1728 - 1680) + chr(111) + chr(0b110011) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(6451 - 6340) + '\063' + '\x34' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b11 + 0o154) + chr(0b110 + 0o57) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + chr(0b10111 + 0o32), 22670 - 22662), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\063' + chr(0b11100 + 0o32) + chr(2369 - 2315), 13266 - 13258), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(7938 - 7827) + chr(49) + chr(233 - 184) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1661 - 1612) + chr(51) + chr(50), 33214 - 33206), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\063' + chr(2368 - 2316), 0b1000), ehT0Px3KOsy9(chr(1882 - 1834) + '\x6f' + '\061' + '\x30' + chr(0b110110), 48969 - 48961), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\061' + chr(617 - 565) + '\063', 0b1000), ehT0Px3KOsy9(chr(1756 - 1708) + '\x6f' + chr(0b101 + 0o56) + '\066' + chr(0b110101 + 0o0), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + chr(663 - 613) + '\065' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100001 + 0o116) + '\065' + chr(0b100110 + 0o17), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(0b110 + 0o60) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(2086 - 2036) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100101 + 0o14) + '\x34' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11011 + 0o26) + chr(0b10 + 0o61) + chr(51), 8), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b11011 + 0o124) + chr(491 - 440) + '\x33' + '\060', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110100 + 0o1) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8'), chr(8606 - 8506) + chr(0b111011 + 0o52) + chr(0b11110 + 0o105) + chr(2153 - 2042) + chr(100) + chr(0b1100101))(chr(117) + chr(2956 - 2840) + chr(102) + chr(0b101101) + chr(2188 - 2132)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def QtELI480CaHh(l8QhvN2eFU9K, C8dAr6Ujq2Tn, W1s0NiRRDIwA): apyWnFfyq6CG = C8dAr6Ujq2Tn.vXoupepMtCXU[ehT0Px3KOsy9(chr(48) + chr(0b1111 + 0o140) + '\060', 25858 - 25850)] f1SpSYb9FSOu = IDJ2eXGCBCDu.reduce_max(apyWnFfyq6CG, axis=-ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b10101 + 0o132) + chr(0b1100 + 0o45), 8), keepdims=ehT0Px3KOsy9('\060' + chr(1978 - 1867) + chr(0b110001), 8), name=xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf<\xef\xf3\xa2\xe3\x83'), chr(5223 - 5123) + chr(101) + '\x63' + '\157' + '\144' + '\145')(chr(117) + chr(0b1110100) + chr(0b10111 + 0o117) + '\055' + '\070')) pI9snyGpwY_d = apyWnFfyq6CG - f1SpSYb9FSOu yC3g_2bG96Pz = IDJ2eXGCBCDu.exp(pI9snyGpwY_d, name=xafqLlk3kkUe(SXOLrMavuUCe(b"\xb5'\xac\xd8\xa0\xef\xa4\xd9.+"), chr(3444 - 3344) + '\x65' + '\x63' + chr(111) + chr(0b101001 + 0o73) + chr(6062 - 5961))(chr(117) + '\164' + chr(0b1010001 + 0o25) + chr(1396 - 1351) + '\x38')) _htm2_EF95KB = IDJ2eXGCBCDu.reduce_sum(yC3g_2bG96Pz, axis=-ehT0Px3KOsy9('\060' + chr(8691 - 8580) + '\x31', 8), keepdims=ehT0Px3KOsy9(chr(1072 - 1024) + chr(5968 - 5857) + '\061', 8)) p1pXKHunIvAY = yC3g_2bG96Pz / _htm2_EF95KB xafqLlk3kkUe(l8QhvN2eFU9K.between_ops, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3\xab\xc9\xa1\xe6'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b1101 + 0o142) + chr(100) + '\145')(chr(0b1110101) + chr(13328 - 13212) + chr(8011 - 7909) + chr(0b101101) + '\x38'))([xafqLlk3kkUe(yC3g_2bG96Pz, xafqLlk3kkUe(SXOLrMavuUCe(b"\x95j\xbb\xed\xbd\xb4\xae\xd6'i\x8f\x00"), chr(531 - 431) + '\145' + '\x63' + chr(111) + '\144' + '\145')(chr(0b110 + 0o157) + chr(600 - 484) + chr(0b11001 + 0o115) + '\055' + chr(56))), xafqLlk3kkUe(_htm2_EF95KB, xafqLlk3kkUe(SXOLrMavuUCe(b"\x95j\xbb\xed\xbd\xb4\xae\xd6'i\x8f\x00"), chr(100) + chr(0b1011010 + 0o13) + '\x63' + chr(7218 - 7107) + chr(0b1100100) + '\145')(chr(117) + chr(116) + '\146' + '\x2d' + chr(56))), xafqLlk3kkUe(p1pXKHunIvAY, xafqLlk3kkUe(SXOLrMavuUCe(b"\x95j\xbb\xed\xbd\xb4\xae\xd6'i\x8f\x00"), '\x64' + chr(0b111101 + 0o50) + chr(0b10000 + 0o123) + chr(4884 - 4773) + '\144' + chr(2043 - 1942))('\165' + chr(116) + '\146' + chr(0b101101) + '\070')), xafqLlk3kkUe(pI9snyGpwY_d, xafqLlk3kkUe(SXOLrMavuUCe(b"\x95j\xbb\xed\xbd\xb4\xae\xd6'i\x8f\x00"), chr(100) + chr(101) + chr(99) + '\157' + '\x64' + chr(8755 - 8654))(chr(6822 - 6705) + chr(4518 - 4402) + chr(102) + '\055' + chr(0b111000)))]) UkrMp_I0RDmo = IDJ2eXGCBCDu.gradients(p1pXKHunIvAY, pI9snyGpwY_d, grad_ys=W1s0NiRRDIwA[ehT0Px3KOsy9('\060' + '\x6f' + chr(48), 8)])[ehT0Px3KOsy9(chr(1794 - 1746) + '\157' + chr(0b110000), 8)] del xafqLlk3kkUe(l8QhvN2eFU9K, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb47\xab\xdb\xaa\xe7\x95\xe39+\xa8'), chr(9921 - 9821) + chr(0b1010011 + 0o22) + '\x63' + chr(0b1101111) + '\x64' + chr(8740 - 8639))(chr(0b1101 + 0o150) + '\164' + chr(102) + chr(0b101101) + chr(2173 - 2117)))[-ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110100), ord("\x08")):] (HsVPayWnFDHA, F_yG3AytJKdJ) = IDJ2eXGCBCDu.split(apyWnFfyq6CG, ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + chr(0b100 + 0o56), 2859 - 2851)) (KfvbHhqlDcmx, jbwHa6AB6x1t) = IDJ2eXGCBCDu.split(pI9snyGpwY_d, ehT0Px3KOsy9('\x30' + '\157' + chr(0b10111 + 0o33), 8)) UaN1xyv_TFfU = HsVPayWnFDHA - F_yG3AytJKdJ _DnSYJIz5dyQ = [ehT0Px3KOsy9(chr(323 - 275) + chr(111) + chr(0b110010), 8)] + [ehT0Px3KOsy9(chr(48) + '\157' + chr(838 - 789), 8) for WVxHKyX45z_L in UaN1xyv_TFfU.nauYfLglTpcb[ehT0Px3KOsy9(chr(470 - 422) + chr(0b10100 + 0o133) + chr(0b101 + 0o54), 8):]] return xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2\x00\x99\xed\x8c\xb7\xc2\xc5\x07\x19\xb61'), chr(0b1011111 + 0o5) + '\x65' + chr(0b111010 + 0o51) + chr(4665 - 4554) + '\144' + '\145')('\165' + chr(116) + chr(0b1100110) + chr(647 - 602) + chr(0b11000 + 0o40)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2;\xb3\xc9'), '\144' + chr(0b111001 + 0o54) + chr(3346 - 3247) + chr(111) + chr(6348 - 6248) + '\145')(chr(0b1101100 + 0o11) + chr(0b101100 + 0o110) + chr(0b1100110) + '\055' + chr(0b111000)))(xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb70\xac'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(4169 - 4069) + chr(0b11 + 0o142))('\x75' + chr(116) + '\146' + '\x2d' + '\x38'))(UaN1xyv_TFfU), _DnSYJIz5dyQ) < 1e-06, UkrMp_I0RDmo, UkrMp_I0RDmo * xafqLlk3kkUe(IDJ2eXGCBCDu, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2;\xb3\xc9'), chr(5405 - 5305) + chr(101) + chr(0b1100011) + chr(0b101001 + 0o106) + '\x64' + chr(0b10100 + 0o121))(chr(11951 - 11834) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(56)))((KfvbHhqlDcmx - jbwHa6AB6x1t) / UaN1xyv_TFfU, _DnSYJIz5dyQ))
slundberg/shap	shap/explainers/deep/deep_tf.py	TFDeepExplainer._variable_inputs	def _variable_inputs(self, op): """ Return which inputs of this operation are variable (i.e. depend on the model inputs). """ if op.name not in self._vinputs: self._vinputs[op.name] = np.array([t.op in self.between_ops or t in self.model_inputs for t in op.inputs]) return self._vinputs[op.name]	python	def _variable_inputs(self, op): """ Return which inputs of this operation are variable (i.e. depend on the model inputs). """ if op.name not in self._vinputs: self._vinputs[op.name] = np.array([t.op in self.between_ops or t in self.model_inputs for t in op.inputs]) return self._vinputs[op.name]	[ "def", "_variable_inputs", "(", "self", ",", "op", ")", ":", "if", "op", ".", "name", "not", "in", "self", ".", "_vinputs", ":", "self", ".", "_vinputs", "[", "op", ".", "name", "]", "=", "np", ".", "array", "(", "[", "t", ".", "op", "in", "self", ".", "between_ops", "or", "t", "in", "self", ".", "model_inputs", "for", "t", "in", "op", ".", "inputs", "]", ")", "return", "self", ".", "_vinputs", "[", "op", ".", "name", "]" ]	Return which inputs of this operation are variable (i.e. depend on the model inputs).	[ "Return", "which", "inputs", "of", "this", "operation", "are", "variable", "(", "i", ".", "e", ".", "depend", "on", "the", "model", "inputs", ")", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/deep/deep_tf.py#L171-L176	train	Return the list of variable inputs of this operation.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10111 + 0o34) + chr(0b110110) + chr(0b110010), 7686 - 7678), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(0b1111 + 0o45) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(399 - 351) + chr(111) + chr(0b1100 + 0o46) + '\x36' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(605 - 557) + '\157' + '\x34' + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101100 + 0o7) + chr(0b10001 + 0o44) + chr(52), 54437 - 54429), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(50) + chr(2416 - 2361), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7256 - 7145) + chr(0b1011 + 0o54) + '\062', 0b1000), ehT0Px3KOsy9(chr(406 - 358) + '\x6f' + chr(51) + chr(50) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110010) + chr(789 - 734), 8), ehT0Px3KOsy9(chr(2012 - 1964) + chr(11467 - 11356) + '\063' + '\x34' + chr(1078 - 1028), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\067' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(12037 - 11926) + chr(350 - 299) + chr(2569 - 2514) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1660 - 1612) + chr(0b1101111) + '\x33' + '\x33' + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\066' + '\060', 29798 - 29790), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(54) + '\x32', 0o10), ehT0Px3KOsy9(chr(1450 - 1402) + chr(7358 - 7247) + '\066' + '\x30', 8), ehT0Px3KOsy9(chr(48) + chr(777 - 666) + chr(50) + chr(1448 - 1398) + chr(55), 0o10), ehT0Px3KOsy9(chr(1439 - 1391) + chr(213 - 102) + chr(2403 - 2349) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\x36' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(12196 - 12085) + chr(2223 - 2172) + '\067' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100010 + 0o20) + '\x31' + '\x36', 43703 - 43695), ehT0Px3KOsy9('\060' + chr(8151 - 8040) + chr(0b100011 + 0o17) + '\x32' + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b111 + 0o53) + chr(931 - 877) + chr(0b110010), 8), ehT0Px3KOsy9(chr(453 - 405) + chr(0b1001100 + 0o43) + '\x31' + '\x32' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110000 + 0o3) + chr(0b101111 + 0o6) + chr(1332 - 1283), 19271 - 19263), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(1919 - 1868) + '\x36' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010 + 0o0), 9396 - 9388), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + '\066' + chr(49), 0b1000), ehT0Px3KOsy9(chr(1068 - 1020) + chr(0b100100 + 0o113) + chr(0b100 + 0o57) + chr(52) + chr(740 - 689), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x35' + chr(0b110010 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(186 - 137) + chr(2383 - 2334) + chr(0b110111), 63260 - 63252), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + '\061' + '\x35' + chr(2228 - 2180), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7389 - 7278) + chr(0b1010 + 0o47) + chr(52) + chr(0b110000), 47783 - 47775), ehT0Px3KOsy9(chr(993 - 945) + '\x6f' + '\x34' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(267 - 219) + '\157' + chr(0b100010 + 0o20) + chr(49) + chr(0b0 + 0o65), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(880 - 769) + chr(0b110001) + chr(0b110100) + chr(0b10010 + 0o40), 0b1000), ehT0Px3KOsy9(chr(2287 - 2239) + chr(11342 - 11231) + chr(55), 13387 - 13379), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11011 + 0o33) + chr(0b110001 + 0o2), 43700 - 43692), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + '\063' + chr(0b101100 + 0o7) + chr(53), 0b1000), ehT0Px3KOsy9(chr(1839 - 1791) + '\157' + chr(0b10111 + 0o36) + chr(0b110001), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + '\065' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc'), '\144' + chr(101) + '\143' + '\157' + chr(0b11110 + 0o106) + chr(5996 - 5895))(chr(1128 - 1011) + chr(10620 - 10504) + '\x66' + '\055' + chr(2813 - 2757)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def L7AcUToeSdJV(oVre8I6UXc3b, C8dAr6Ujq2Tn): if xafqLlk3kkUe(C8dAr6Ujq2Tn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3j\xc4m\xbe\xadv\xb0\x93\x84\xd9\xbc'), chr(9858 - 9758) + chr(101) + chr(0b1100011) + chr(0b1100010 + 0o15) + chr(100) + chr(0b1100101))(chr(3573 - 3456) + chr(116) + '\146' + chr(1346 - 1301) + '\x38')) not in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xadU\xdbI\x9c\xa2N\xa7'), '\x64' + chr(0b1100101) + chr(99) + chr(12035 - 11924) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(4767 - 4651) + '\x66' + chr(45) + chr(0b111000))): oVre8I6UXc3b._QL_WTyump5K[C8dAr6Ujq2Tn.AIvJRzLdDfgF] = WqUC3KWvYVup.B0ePDhpqxN5n([YeT3l7JgTbWR.C8dAr6Ujq2Tn in oVre8I6UXc3b.between_ops or YeT3l7JgTbWR in oVre8I6UXc3b.model_inputs for YeT3l7JgTbWR in C8dAr6Ujq2Tn.vXoupepMtCXU]) return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xadr\xfex\xbb\x83C\xa1\xba\x92\x8b\xb1'), '\x64' + '\145' + '\143' + '\x6f' + '\x64' + chr(4801 - 4700))('\x75' + '\164' + chr(3322 - 3220) + '\x2d' + '\x38'))[xafqLlk3kkUe(C8dAr6Ujq2Tn, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3j\xc4m\xbe\xadv\xb0\x93\x84\xd9\xbc'), '\x64' + chr(0b1100101) + chr(99) + chr(3818 - 3707) + '\x64' + chr(0b1000000 + 0o45))(chr(117) + '\x74' + '\x66' + chr(0b101101) + chr(2316 - 2260)))]
slundberg/shap	shap/explainers/deep/deep_tf.py	TFDeepExplainer.phi_symbolic	def phi_symbolic(self, i): """ Get the SHAP value computation graph for a given model output. """ if self.phi_symbolics[i] is None: # replace the gradients for all the non-linear activations # we do this by hacking our way into the registry (TODO: find a public API for this if it exists) reg = tf_ops._gradient_registry._registry for n in op_handlers: if n in reg: self.orig_grads[n] = reg[n]["type"] if op_handlers[n] is not passthrough: reg[n]["type"] = self.custom_grad elif n in self.used_types: raise Exception(n + " was used in the model but is not in the gradient registry!") # In TensorFlow 1.10 they started pruning out nodes that they think can't be backpropped # unfortunately that includes the index of embedding layers so we disable that check here if hasattr(tf_gradients_impl, "_IsBackpropagatable"): orig_IsBackpropagatable = tf_gradients_impl._IsBackpropagatable tf_gradients_impl._IsBackpropagatable = lambda tensor: True # define the computation graph for the attribution values using custom a gradient-like computation try: out = self.model_output[:,i] if self.multi_output else self.model_output self.phi_symbolics[i] = tf.gradients(out, self.model_inputs) finally: # reinstate the backpropagatable check if hasattr(tf_gradients_impl, "_IsBackpropagatable"): tf_gradients_impl._IsBackpropagatable = orig_IsBackpropagatable # restore the original gradient definitions for n in op_handlers: if n in reg: reg[n]["type"] = self.orig_grads[n] return self.phi_symbolics[i]	python	def phi_symbolic(self, i): """ Get the SHAP value computation graph for a given model output. """ if self.phi_symbolics[i] is None: # replace the gradients for all the non-linear activations # we do this by hacking our way into the registry (TODO: find a public API for this if it exists) reg = tf_ops._gradient_registry._registry for n in op_handlers: if n in reg: self.orig_grads[n] = reg[n]["type"] if op_handlers[n] is not passthrough: reg[n]["type"] = self.custom_grad elif n in self.used_types: raise Exception(n + " was used in the model but is not in the gradient registry!") # In TensorFlow 1.10 they started pruning out nodes that they think can't be backpropped # unfortunately that includes the index of embedding layers so we disable that check here if hasattr(tf_gradients_impl, "_IsBackpropagatable"): orig_IsBackpropagatable = tf_gradients_impl._IsBackpropagatable tf_gradients_impl._IsBackpropagatable = lambda tensor: True # define the computation graph for the attribution values using custom a gradient-like computation try: out = self.model_output[:,i] if self.multi_output else self.model_output self.phi_symbolics[i] = tf.gradients(out, self.model_inputs) finally: # reinstate the backpropagatable check if hasattr(tf_gradients_impl, "_IsBackpropagatable"): tf_gradients_impl._IsBackpropagatable = orig_IsBackpropagatable # restore the original gradient definitions for n in op_handlers: if n in reg: reg[n]["type"] = self.orig_grads[n] return self.phi_symbolics[i]	[ "def", "phi_symbolic", "(", "self", ",", "i", ")", ":", "if", "self", ".", "phi_symbolics", "[", "i", "]", "is", "None", ":", "# replace the gradients for all the non-linear activations", "# we do this by hacking our way into the registry (TODO: find a public API for this if it exists)", "reg", "=", "tf_ops", ".", "_gradient_registry", ".", "_registry", "for", "n", "in", "op_handlers", ":", "if", "n", "in", "reg", ":", "self", ".", "orig_grads", "[", "n", "]", "=", "reg", "[", "n", "]", "[", "\"type\"", "]", "if", "op_handlers", "[", "n", "]", "is", "not", "passthrough", ":", "reg", "[", "n", "]", "[", "\"type\"", "]", "=", "self", ".", "custom_grad", "elif", "n", "in", "self", ".", "used_types", ":", "raise", "Exception", "(", "n", "+", "\" was used in the model but is not in the gradient registry!\"", ")", "# In TensorFlow 1.10 they started pruning out nodes that they think can't be backpropped", "# unfortunately that includes the index of embedding layers so we disable that check here", "if", "hasattr", "(", "tf_gradients_impl", ",", "\"_IsBackpropagatable\"", ")", ":", "orig_IsBackpropagatable", "=", "tf_gradients_impl", ".", "_IsBackpropagatable", "tf_gradients_impl", ".", "_IsBackpropagatable", "=", "lambda", "tensor", ":", "True", "# define the computation graph for the attribution values using custom a gradient-like computation", "try", ":", "out", "=", "self", ".", "model_output", "[", ":", ",", "i", "]", "if", "self", ".", "multi_output", "else", "self", ".", "model_output", "self", ".", "phi_symbolics", "[", "i", "]", "=", "tf", ".", "gradients", "(", "out", ",", "self", ".", "model_inputs", ")", "finally", ":", "# reinstate the backpropagatable check", "if", "hasattr", "(", "tf_gradients_impl", ",", "\"_IsBackpropagatable\"", ")", ":", "tf_gradients_impl", ".", "_IsBackpropagatable", "=", "orig_IsBackpropagatable", "# restore the original gradient definitions", "for", "n", "in", "op_handlers", ":", "if", "n", "in", "reg", ":", "reg", "[", "n", "]", "[", "\"type\"", "]", "=", "self", ".", "orig_grads", "[", "n", "]", "return", "self", ".", "phi_symbolics", "[", "i", "]" ]	Get the SHAP value computation graph for a given model output.	[ "Get", "the", "SHAP", "value", "computation", "graph", "for", "a", "given", "model", "output", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/deep/deep_tf.py#L178-L214	train	Get the SHAP value computation graph for a given model output.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10011 + 0o37) + chr(1454 - 1401) + chr(0b10 + 0o65), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\x33' + chr(1961 - 1910), 26596 - 26588), ehT0Px3KOsy9(chr(1035 - 987) + '\x6f' + chr(0b110100) + chr(50), 23447 - 23439), ehT0Px3KOsy9(chr(901 - 853) + chr(0b10010 + 0o135) + chr(1007 - 957) + chr(48) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100000 + 0o117) + chr(714 - 665) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1355 - 1307) + chr(111) + chr(163 - 112) + chr(1379 - 1330) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(1395 - 1284) + '\x32' + '\064' + chr(0b1110 + 0o42), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b0 + 0o60) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\067' + chr(711 - 659), 0b1000), ehT0Px3KOsy9(chr(1374 - 1326) + chr(0b1010100 + 0o33) + '\x32' + chr(49) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(559 - 448) + chr(0b110011) + chr(53) + chr(0b11100 + 0o32), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(51) + '\066' + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10111 + 0o33) + chr(49) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b10 + 0o62) + chr(1265 - 1212), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011001 + 0o26) + chr(594 - 544) + '\x33' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1929 - 1881) + chr(0b1011101 + 0o22) + chr(0b11100 + 0o25) + chr(0b110111) + '\063', 0b1000), ehT0Px3KOsy9(chr(1440 - 1392) + chr(0b10011 + 0o134) + chr(1030 - 981) + chr(0b110000) + chr(1841 - 1788), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b101 + 0o152) + chr(105 - 54) + chr(0b110010) + '\062', 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(51) + chr(0b110001) + chr(1030 - 979), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\060' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11000 + 0o127) + chr(0b110010) + chr(387 - 332) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11252 - 11141) + chr(0b110011) + chr(0b110111) + '\065', 18090 - 18082), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\x36' + chr(0b110001 + 0o0), 982 - 974), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(0b110110), 20328 - 20320), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x36' + chr(1781 - 1728), 0o10), ehT0Px3KOsy9(chr(48) + chr(8392 - 8281) + chr(50) + '\064' + chr(136 - 87), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2117 - 2067) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1010011 + 0o34) + chr(0b101111 + 0o3) + chr(0b10110 + 0o40) + chr(1971 - 1918), 0b1000), ehT0Px3KOsy9(chr(1467 - 1419) + chr(4442 - 4331) + '\061' + chr(0b100011 + 0o16) + chr(864 - 811), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b0 + 0o157) + chr(0b110010) + '\x37' + '\x35', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110100) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b110101) + chr(1252 - 1198), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(48) + '\x32', 11483 - 11475), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(0b10111 + 0o33) + chr(0b110111) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001110 + 0o41) + '\063' + chr(49) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101 + 0o1) + chr(52), 28606 - 28598), ehT0Px3KOsy9(chr(48) + chr(0b1001000 + 0o47) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1621 - 1573) + chr(0b1101111) + chr(0b110011) + chr(226 - 177) + chr(1214 - 1166), ord("\x08")), ehT0Px3KOsy9(chr(968 - 920) + chr(0b1000101 + 0o52) + chr(0b1111 + 0o43) + chr(52) + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x34' + '\x33', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(776 - 665) + '\065' + chr(2143 - 2095), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x81'), chr(0b11000 + 0o114) + '\145' + chr(0b1000101 + 0o36) + chr(0b1001111 + 0o40) + '\x64' + '\x65')(chr(0b0 + 0o165) + chr(0b101 + 0o157) + '\146' + '\x2d' + chr(0b111000 + 0o0)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def U5zxneIJcZcZ(oVre8I6UXc3b, WVxHKyX45z_L): if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf\xf3K\xde~\xb7\xcd\xe4S\xe5\x87\x95\xf9'), '\144' + chr(0b1100101) + chr(99) + chr(111) + '\x64' + chr(1811 - 1710))(chr(7082 - 6965) + chr(116) + '\x66' + chr(0b101100 + 0o1) + chr(0b110010 + 0o6)))[WVxHKyX45z_L] is None: W9Fw304NvjsN = NCy8lvLfvo9G._gradient_registry._registry for m1NkCryOw9Bx in Oc4ddVkKYlqO: if m1NkCryOw9Bx in W9Fw304NvjsN: oVre8I6UXc3b.fMufyYvKfQ50[m1NkCryOw9Bx] = W9Fw304NvjsN[m1NkCryOw9Bx][xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\xe2R\xe4'), '\144' + chr(0b101010 + 0o73) + '\x63' + '\157' + chr(6751 - 6651) + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + '\055' + chr(56))] if Oc4ddVkKYlqO[m1NkCryOw9Bx] is not IMfWtbJsQ5bW: W9Fw304NvjsN[m1NkCryOw9Bx][xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\xe2R\xe4'), chr(9029 - 8929) + chr(101) + '\143' + chr(0b1111 + 0o140) + '\x64' + chr(1397 - 1296))(chr(0b101001 + 0o114) + chr(8846 - 8730) + '\146' + '\x2d' + chr(0b111000))] = oVre8I6UXc3b.custom_grad elif m1NkCryOw9Bx in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\xe8G\xe5R\xba\xd9\xf6Y\xfa'), '\144' + '\145' + chr(99) + '\157' + chr(100) + chr(0b10111 + 0o116))('\x75' + '\164' + chr(0b10100 + 0o122) + '\055' + '\x38')): raise jLmadlzMdunT(m1NkCryOw9Bx + xafqLlk3kkUe(SXOLrMavuUCe(b"\x8f\xecC\xf2-\xbb\xd3\xe3X\xa9\x87\x98\xaa\xd1\xf0\x1ee\xbf\xa4\xe7\xd8\x91Ql@\xd51\xdc>\x9dN\x01\xf6\x99\xa3Z'\xbc\xc8F\x8f\xfcP\xe0i\xa7\xc5\xe8H\xa9\x9c\x93\xed\xcc\xeb\x0f7\xab\xea"), chr(0b1100100) + '\145' + chr(99) + chr(10597 - 10486) + chr(0b1100100) + chr(8128 - 8027))(chr(3746 - 3629) + '\x74' + chr(8436 - 8334) + chr(222 - 177) + chr(1261 - 1205))) if lot1PSoAwYhj(_ZArMTSs5hld, xafqLlk3kkUe(SXOLrMavuUCe(b"\xf0\xd2Q\xc3l\xad\xcb\xf6N\xe6\x9e\x97\xed\xc4\xec\x1a'\xbe\xae"), chr(0b1100100) + '\145' + chr(99) + chr(0b111001 + 0o66) + chr(100) + chr(0b1100010 + 0o3))('\x75' + '\x74' + chr(0b10111 + 0o117) + chr(0b1011 + 0o42) + chr(1973 - 1917))): qrZYrVHp9YS3 = _ZArMTSs5hld._IsBackpropagatable _ZArMTSs5hld.B613FNhaV8o9 = lambda LK3cpXJU3UM0: ehT0Px3KOsy9('\060' + chr(0b100010 + 0o115) + chr(0b110001), 0o10) try: UkrMp_I0RDmo = oVre8I6UXc3b.model_output[:, WVxHKyX45z_L] if oVre8I6UXc3b.multi_output else oVre8I6UXc3b.model_output oVre8I6UXc3b.Sze7zxgXPCb5[WVxHKyX45z_L] = IDJ2eXGCBCDu.gradients(UkrMp_I0RDmo, oVre8I6UXc3b.model_inputs) finally: if lot1PSoAwYhj(_ZArMTSs5hld, xafqLlk3kkUe(SXOLrMavuUCe(b"\xf0\xd2Q\xc3l\xad\xcb\xf6N\xe6\x9e\x97\xed\xc4\xec\x1a'\xbe\xae"), '\144' + chr(0b1100101) + '\143' + chr(111) + chr(1495 - 1395) + '\x65')('\165' + chr(116) + chr(2129 - 2027) + chr(0b1010 + 0o43) + '\070')): _ZArMTSs5hld.B613FNhaV8o9 = qrZYrVHp9YS3 for m1NkCryOw9Bx in Oc4ddVkKYlqO: if m1NkCryOw9Bx in W9Fw304NvjsN: W9Fw304NvjsN[m1NkCryOw9Bx][xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\xe2R\xe4'), chr(0b1100011 + 0o1) + '\145' + chr(0b1100011 + 0o0) + '\x6f' + chr(0b1001011 + 0o31) + chr(101))('\x75' + chr(116) + chr(102) + '\x2d' + '\070')] = oVre8I6UXc3b.fMufyYvKfQ50[m1NkCryOw9Bx] return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc\xe1G\xb6w\xb6\xc7\xdel\xca\x8c\xc3'), chr(0b1100100) + chr(0b1100101) + chr(0b1011011 + 0o10) + chr(0b1101111) + chr(8763 - 8663) + '\145')('\x75' + '\164' + chr(0b1100110) + chr(1316 - 1271) + '\x38'))[WVxHKyX45z_L]
slundberg/shap	shap/explainers/deep/deep_tf.py	TFDeepExplainer.run	def run(self, out, model_inputs, X): """ Runs the model while also setting the learning phase flags to False. """ feed_dict = dict(zip(model_inputs, X)) for t in self.learning_phase_flags: feed_dict[t] = False return self.session.run(out, feed_dict)	python	def run(self, out, model_inputs, X): """ Runs the model while also setting the learning phase flags to False. """ feed_dict = dict(zip(model_inputs, X)) for t in self.learning_phase_flags: feed_dict[t] = False return self.session.run(out, feed_dict)	[ "def", "run", "(", "self", ",", "out", ",", "model_inputs", ",", "X", ")", ":", "feed_dict", "=", "dict", "(", "zip", "(", "model_inputs", ",", "X", ")", ")", "for", "t", "in", "self", ".", "learning_phase_flags", ":", "feed_dict", "[", "t", "]", "=", "False", "return", "self", ".", "session", ".", "run", "(", "out", ",", "feed_dict", ")" ]	Runs the model while also setting the learning phase flags to False.	[ "Runs", "the", "model", "while", "also", "setting", "the", "learning", "phase", "flags", "to", "False", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/deep/deep_tf.py#L276-L282	train	Runs the model while also setting the learning phase flags to False.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2301 - 2250) + chr(49) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1101 + 0o44) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1252 - 1204) + chr(111) + chr(51) + chr(2737 - 2682) + chr(0b100010 + 0o25), 56267 - 56259), ehT0Px3KOsy9(chr(48) + chr(9833 - 9722) + '\061' + chr(0b110111) + '\065', 0b1000), ehT0Px3KOsy9(chr(2164 - 2116) + '\x6f' + chr(0b110001) + chr(0b110010) + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110000 + 0o3) + '\061' + chr(1631 - 1581), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(705 - 653) + '\067', 53183 - 53175), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + '\062' + chr(0b10 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(224 - 176) + chr(0b1101111) + chr(0b100101 + 0o15) + chr(0b10100 + 0o36) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\x36' + chr(52), 52257 - 52249), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1000 + 0o53) + chr(0b110010) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3717 - 3606) + chr(0b110011) + chr(0b11110 + 0o23) + chr(53), 2838 - 2830), ehT0Px3KOsy9(chr(0b110000) + chr(10697 - 10586) + '\x32' + '\x31' + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\064' + chr(0b11001 + 0o36), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b110000) + chr(2291 - 2239), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101 + 0o56) + chr(809 - 754) + chr(0b10001 + 0o45), 39916 - 39908), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b110110) + chr(875 - 827), 47830 - 47822), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(1043 - 990) + chr(2440 - 2388), 0o10), ehT0Px3KOsy9(chr(1530 - 1482) + chr(0b10100 + 0o133) + '\061' + chr(0b1111 + 0o43) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b111100 + 0o63) + chr(0b1001 + 0o51) + '\061' + chr(0b110001), 22921 - 22913), ehT0Px3KOsy9(chr(899 - 851) + '\x6f' + '\x31' + chr(0b110011) + chr(0b11010 + 0o34), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(129 - 78) + chr(0b110110) + chr(0b1101 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(1399 - 1351) + chr(0b1100011 + 0o14) + '\x32' + chr(283 - 233) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + '\x31' + chr(1522 - 1470) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\061' + '\062' + '\x37', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11110 + 0o24) + '\066' + chr(0b11100 + 0o33), 0o10), ehT0Px3KOsy9(chr(680 - 632) + chr(111) + '\x32' + '\062' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(0b1111 + 0o43) + '\x35' + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2232 - 2183) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(837 - 787) + chr(51) + chr(0b100111 + 0o12), 15109 - 15101), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(52) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(1743 - 1695) + '\157' + chr(2236 - 2186) + chr(52) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x36' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1185 - 1137) + '\x6f' + '\061' + chr(0b100101 + 0o17) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(454 - 403) + chr(460 - 411) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b110001) + chr(0b1110 + 0o47), 0o10), ehT0Px3KOsy9(chr(48) + chr(10502 - 10391) + chr(0b11111 + 0o22) + chr(0b101000 + 0o15) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100101 + 0o12) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(51) + '\062' + chr(0b110111), 64421 - 64413), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b110110) + chr(54), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + chr(0b100001 + 0o17), 36444 - 36436)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1'), chr(100) + chr(8848 - 8747) + '\x63' + '\x6f' + '\x64' + chr(101))('\165' + chr(0b1110100) + chr(102) + chr(45) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def sgt5BU61bwZ2(oVre8I6UXc3b, UkrMp_I0RDmo, lIjRdu7Y0GKs, xEgrFJ0REugl): knvK4sqTZWNg = wLqBDw8l0eIm(pZ0NK2y6HRbn(lIjRdu7Y0GKs, xEgrFJ0REugl)) for YeT3l7JgTbWR in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3j\x9e\x0f9\xa3\x89u\xca\xc4\xb8\xac\xfc\xc2\x9b\x98\x1c\xcd5\xfa'), chr(8471 - 8371) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(6299 - 6198))(chr(0b111100 + 0o71) + chr(0b1110100) + '\146' + '\055' + chr(1054 - 998))): knvK4sqTZWNg[YeT3l7JgTbWR] = ehT0Px3KOsy9('\x30' + chr(8037 - 7926) + chr(48), 0o10) return xafqLlk3kkUe(oVre8I6UXc3b.session, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbch\x8bH\x15\x9f\xd1#\xf7\xc3\x8a\xff'), chr(0b1100100) + '\x65' + '\143' + chr(111) + '\144' + '\145')('\x75' + '\164' + chr(102) + '\055' + chr(0b11011 + 0o35)))(UkrMp_I0RDmo, knvK4sqTZWNg)
slundberg/shap	shap/explainers/deep/deep_tf.py	TFDeepExplainer.custom_grad	def custom_grad(self, op, grads): """ Passes a gradient op creation request to the correct handler. """ return op_handlers[op.type](self, op, grads)	python	def custom_grad(self, op, grads): """ Passes a gradient op creation request to the correct handler. """ return op_handlers[op.type](self, op, grads)	[ "def", "custom_grad", "(", "self", ",", "op", ",", "", "grads", ")", ":", "return", "op_handlers", "[", "op", ".", "type", "]", "(", "self", ",", "op", ",", "", "grads", ")" ]	Passes a gradient op creation request to the correct handler.	[ "Passes", "a", "gradient", "op", "creation", "request", "to", "the", "correct", "handler", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/deep/deep_tf.py#L284-L287	train	Passes a gradient op creation request to the correct handler.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(1423 - 1312) + chr(0b0 + 0o64) + chr(254 - 199), ord("\x08")), ehT0Px3KOsy9(chr(1195 - 1147) + '\x6f' + chr(1841 - 1790) + chr(0b110001 + 0o0) + chr(968 - 916), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b110011) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(12235 - 12124) + chr(1788 - 1735) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(2073 - 2025) + chr(111) + chr(0b110011) + chr(0b110111) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b1010 + 0o46) + chr(0b10001 + 0o46), 49414 - 49406), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11001 + 0o31) + '\x30' + chr(749 - 700), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x37', 0o10), ehT0Px3KOsy9(chr(75 - 27) + '\157' + '\061' + chr(0b11101 + 0o23) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(2115 - 2067) + chr(0b1100100 + 0o13) + chr(0b1100 + 0o47) + '\061' + chr(0b10101 + 0o36), 0b1000), ehT0Px3KOsy9(chr(1179 - 1131) + chr(111) + chr(0b110001) + chr(430 - 382) + chr(1034 - 984), 8), ehT0Px3KOsy9('\060' + chr(984 - 873) + '\x31' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + '\x32' + chr(0b1101 + 0o46) + chr(0b101000 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1748 - 1700) + chr(0b10100 + 0o133) + '\x33' + '\x37' + chr(513 - 461), 63410 - 63402), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(7645 - 7534) + chr(0b101100 + 0o6) + '\063' + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\x36' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1 + 0o62) + chr(941 - 890) + chr(0b1110 + 0o51), 57665 - 57657), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + '\066' + chr(2055 - 2000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3486 - 3375) + '\x31' + '\063' + '\x37', 0b1000), ehT0Px3KOsy9(chr(2165 - 2117) + '\157' + chr(50) + '\x35' + chr(48), 0b1000), ehT0Px3KOsy9(chr(784 - 736) + '\x6f' + '\x31' + '\066' + chr(0b101001 + 0o11), 8), ehT0Px3KOsy9(chr(1606 - 1558) + chr(2146 - 2035) + chr(1043 - 993) + chr(0b100100 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b110110) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(574 - 526) + '\x6f' + chr(0b101001 + 0o11) + chr(53) + chr(2159 - 2105), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2192 - 2138) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3360 - 3249) + chr(0b100001 + 0o21) + '\x32' + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\x34' + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(0b1001001 + 0o46) + chr(0b110011 + 0o0) + chr(0b110000) + chr(0b101110 + 0o4), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\x31' + chr(52), 16736 - 16728), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1347 - 1298) + chr(2615 - 2563) + chr(0b10110 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(55), 8), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(53) + chr(0b110010 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10484 - 10373) + '\063' + '\x35' + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x34' + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(10565 - 10454) + chr(50) + chr(48) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110100) + chr(1749 - 1695), 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(0b110010) + chr(0b110110) + '\062', 37381 - 37373), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101010 + 0o11) + chr(0b110011) + chr(0b101000 + 0o16), 29430 - 29422)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\t'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1101111) + '\144' + '\145')(chr(0b1000000 + 0o65) + chr(0b1110100) + '\x66' + '\055' + chr(0b10110 + 0o42)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def g9zgaN0G8TFR(oVre8I6UXc3b, C8dAr6Ujq2Tn, W1s0NiRRDIwA): return Oc4ddVkKYlqO[xafqLlk3kkUe(C8dAr6Ujq2Tn, xafqLlk3kkUe(SXOLrMavuUCe(b'P\xa1\xccC\x81\xa2\xd6E/\x9e2~'), chr(2929 - 2829) + '\145' + '\x63' + '\x6f' + chr(6316 - 6216) + chr(0b11001 + 0o114))(chr(0b1011001 + 0o34) + chr(7967 - 7851) + '\146' + chr(1278 - 1233) + chr(56)))](oVre8I6UXc3b, C8dAr6Ujq2Tn, W1s0NiRRDIwA)
slundberg/shap	shap/benchmark/experiments.py	run_remote_experiments	def run_remote_experiments(experiments, thread_hosts, rate_limit=10): """ Use ssh to run the experiments on remote machines in parallel. Parameters ---------- experiments : iterable Output of shap.benchmark.experiments(...). thread_hosts : list of strings Each host has the format "host_name:path_to_python_binary" and can appear multiple times in the list (one for each parallel execution you want on that machine). rate_limit : int How many ssh connections we make per minute to each host (to avoid throttling issues). """ global ssh_conn_per_min_limit ssh_conn_per_min_limit = rate_limit # first we kill any remaining workers from previous runs # note we don't check_call because pkill kills our ssh call as well thread_hosts = copy.copy(thread_hosts) random.shuffle(thread_hosts) for host in set(thread_hosts): hostname,_ = host.split(":") try: subprocess.run(["ssh", hostname, "pkill -f shap.benchmark.run_experiment"], timeout=15) except subprocess.TimeoutExpired: print("Failed to connect to", hostname, "after 15 seconds! Exiting.") return experiments = copy.copy(list(experiments)) random.shuffle(experiments) # this way all the hard experiments don't get put on one machine global nexperiments, total_sent, total_done, total_failed, host_records nexperiments = len(experiments) total_sent = 0 total_done = 0 total_failed = 0 host_records = {} q = Queue() for host in thread_hosts: worker = Thread(target=__thread_worker, args=(q, host)) worker.setDaemon(True) worker.start() for experiment in experiments: q.put(experiment) q.join()	python	def run_remote_experiments(experiments, thread_hosts, rate_limit=10): """ Use ssh to run the experiments on remote machines in parallel. Parameters ---------- experiments : iterable Output of shap.benchmark.experiments(...). thread_hosts : list of strings Each host has the format "host_name:path_to_python_binary" and can appear multiple times in the list (one for each parallel execution you want on that machine). rate_limit : int How many ssh connections we make per minute to each host (to avoid throttling issues). """ global ssh_conn_per_min_limit ssh_conn_per_min_limit = rate_limit # first we kill any remaining workers from previous runs # note we don't check_call because pkill kills our ssh call as well thread_hosts = copy.copy(thread_hosts) random.shuffle(thread_hosts) for host in set(thread_hosts): hostname,_ = host.split(":") try: subprocess.run(["ssh", hostname, "pkill -f shap.benchmark.run_experiment"], timeout=15) except subprocess.TimeoutExpired: print("Failed to connect to", hostname, "after 15 seconds! Exiting.") return experiments = copy.copy(list(experiments)) random.shuffle(experiments) # this way all the hard experiments don't get put on one machine global nexperiments, total_sent, total_done, total_failed, host_records nexperiments = len(experiments) total_sent = 0 total_done = 0 total_failed = 0 host_records = {} q = Queue() for host in thread_hosts: worker = Thread(target=__thread_worker, args=(q, host)) worker.setDaemon(True) worker.start() for experiment in experiments: q.put(experiment) q.join()	[ "def", "run_remote_experiments", "(", "experiments", ",", "thread_hosts", ",", "rate_limit", "=", "10", ")", ":", "global", "ssh_conn_per_min_limit", "ssh_conn_per_min_limit", "=", "rate_limit", "# first we kill any remaining workers from previous runs", "# note we don't check_call because pkill kills our ssh call as well", "thread_hosts", "=", "copy", ".", "copy", "(", "thread_hosts", ")", "random", ".", "shuffle", "(", "thread_hosts", ")", "for", "host", "in", "set", "(", "thread_hosts", ")", ":", "hostname", ",", "_", "=", "host", ".", "split", "(", "\":\"", ")", "try", ":", "subprocess", ".", "run", "(", "[", "\"ssh\"", ",", "hostname", ",", "\"pkill -f shap.benchmark.run_experiment\"", "]", ",", "timeout", "=", "15", ")", "except", "subprocess", ".", "TimeoutExpired", ":", "print", "(", "\"Failed to connect to\"", ",", "hostname", ",", "\"after 15 seconds! Exiting.\"", ")", "return", "experiments", "=", "copy", ".", "copy", "(", "list", "(", "experiments", ")", ")", "random", ".", "shuffle", "(", "experiments", ")", "# this way all the hard experiments don't get put on one machine", "global", "nexperiments", ",", "total_sent", ",", "total_done", ",", "total_failed", ",", "host_records", "nexperiments", "=", "len", "(", "experiments", ")", "total_sent", "=", "0", "total_done", "=", "0", "total_failed", "=", "0", "host_records", "=", "{", "}", "q", "=", "Queue", "(", ")", "for", "host", "in", "thread_hosts", ":", "worker", "=", "Thread", "(", "target", "=", "__thread_worker", ",", "args", "=", "(", "q", ",", "host", ")", ")", "worker", ".", "setDaemon", "(", "True", ")", "worker", ".", "start", "(", ")", "for", "experiment", "in", "experiments", ":", "q", ".", "put", "(", "experiment", ")", "q", ".", "join", "(", ")" ]	Use ssh to run the experiments on remote machines in parallel. Parameters ---------- experiments : iterable Output of shap.benchmark.experiments(...). thread_hosts : list of strings Each host has the format "host_name:path_to_python_binary" and can appear multiple times in the list (one for each parallel execution you want on that machine). rate_limit : int How many ssh connections we make per minute to each host (to avoid throttling issues).	[ "Use", "ssh", "to", "run", "the", "experiments", "on", "remote", "machines", "in", "parallel", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/experiments.py#L322-L372	train	Run the experiments on the remote machines in parallel.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10011 + 0o40) + chr(0b10001 + 0o43), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110010) + chr(2413 - 2360), 0o10), ehT0Px3KOsy9(chr(730 - 682) + chr(0b1101111) + '\x31' + chr(0b10111 + 0o37) + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b11111 + 0o30) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100100 + 0o17) + '\x31' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(7435 - 7324) + chr(54) + chr(0b100000 + 0o25), 3189 - 3181), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(8987 - 8876) + chr(0b110000 + 0o7), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\x34', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101000 + 0o12) + chr(0b10000 + 0o43), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101100 + 0o7), 0o10), ehT0Px3KOsy9(chr(1359 - 1311) + chr(0b1101111) + chr(0b110010), 54122 - 54114), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010100 + 0o33) + '\x31' + '\060' + chr(0b10 + 0o60), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(49) + chr(0b100101 + 0o21), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b11001 + 0o36) + chr(0b1110 + 0o46), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1330 - 1279) + '\x35' + chr(626 - 576), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1792 - 1742) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(1955 - 1904) + chr(0b1000 + 0o51) + chr(0b110101), 52816 - 52808), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10000 + 0o41) + chr(357 - 307) + chr(0b100111 + 0o12), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100101 + 0o12) + '\062' + chr(0b110001) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(49) + chr(49), 62781 - 62773), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(1831 - 1776) + chr(0b110100), 9824 - 9816), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b10000 + 0o44) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100001 + 0o116) + chr(0b1001 + 0o50) + chr(54) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(136 - 25) + chr(1957 - 1907) + chr(489 - 438) + chr(357 - 306), ord("\x08")), ehT0Px3KOsy9(chr(956 - 908) + chr(12316 - 12205) + '\062' + chr(1933 - 1884) + chr(0b11100 + 0o27), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\065' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(914 - 863) + '\061' + chr(0b101010 + 0o6), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11010 + 0o30) + chr(297 - 243) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b110010) + '\x35', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b110010) + chr(2044 - 1989), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(48) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b110101 + 0o72) + '\062' + chr(0b110010) + chr(0b1000 + 0o50), 0o10), ehT0Px3KOsy9('\x30' + chr(7848 - 7737) + chr(51) + chr(1692 - 1642) + '\x33', 20054 - 20046), ehT0Px3KOsy9(chr(48) + '\157' + chr(52) + chr(1533 - 1478), 0b1000), ehT0Px3KOsy9(chr(2178 - 2130) + chr(0b1101111) + chr(754 - 705) + chr(0b11000 + 0o32) + '\x35', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b111011 + 0o64) + chr(0b110010) + '\062' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1110 + 0o43) + chr(0b101000 + 0o14) + chr(2410 - 2355), 16354 - 16346), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b101001 + 0o12) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1468 - 1417), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1829 - 1776) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'2'), chr(100) + chr(101) + chr(99) + '\157' + chr(0b1011000 + 0o14) + '\145')('\x75' + chr(0b1110100) + '\146' + chr(45) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def bmRBgm7FTpZE(SpbUAwSHCnfJ, PJ0Bsgis3zLE, T0g2kzoBWpRP=ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\x32', 61344 - 61336)): global PtWxNnmZI7Tz PtWxNnmZI7Tz = T0g2kzoBWpRP PJ0Bsgis3zLE = igThHS4jwVsa.igThHS4jwVsa(PJ0Bsgis3zLE) xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'o=\x01\xd8\xa8Yb'), chr(100) + chr(101) + '\143' + chr(0b1101111) + chr(4580 - 4480) + chr(5934 - 5833))(chr(117) + chr(0b1110100) + chr(102) + chr(0b100011 + 0o12) + chr(2214 - 2158)))(PJ0Bsgis3zLE) for DvLaAVgceHbA in MVEN8G6CxlvR(PJ0Bsgis3zLE): (OCVQ5bJHqbsc, VNGQdHSFPrso) = DvLaAVgceHbA.split(xafqLlk3kkUe(SXOLrMavuUCe(b'&'), '\144' + '\145' + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\165' + '\164' + chr(6364 - 6262) + chr(45) + chr(0b111000))) try: xafqLlk3kkUe(SorA9b5x63bd, xafqLlk3kkUe(SXOLrMavuUCe(b'o2\x00\x8b\x8c`1-qtXp'), '\144' + chr(101) + '\x63' + '\x6f' + chr(0b1100100) + '\145')(chr(117) + chr(0b1110100) + '\x66' + chr(0b10100 + 0o31) + chr(56)))([xafqLlk3kkUe(SXOLrMavuUCe(b'o&\x1c'), chr(100) + chr(0b1100000 + 0o5) + '\143' + chr(111) + '\x64' + chr(0b1100101))('\165' + chr(116) + '\146' + '\x2d' + chr(0b10001 + 0o47)), OCVQ5bJHqbsc, xafqLlk3kkUe(SXOLrMavuUCe(b"l>\x1d\xd2\xa2\x15*z3pj#\xbe\x92\x88t\xa32h\xe1\xa8N\x8b_\xe9\xfe\x01\x97\xd3-'\xe1\xe2\xbaJ0\xff\x13"), chr(0b1111 + 0o125) + '\x65' + chr(4955 - 4856) + chr(0b1011111 + 0o20) + chr(0b1100100) + chr(0b1100101))(chr(0b1110000 + 0o5) + '\164' + chr(3231 - 3129) + chr(0b101101) + '\070')], timeout=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\067', 0o10)) except xafqLlk3kkUe(SorA9b5x63bd, xafqLlk3kkUe(SXOLrMavuUCe(b'H<\x19\xdb\xa1@sYksk0\xab\xd8'), '\x64' + chr(0b100 + 0o141) + chr(6920 - 6821) + chr(0b1101111) + chr(7518 - 7418) + chr(4942 - 4841))('\x75' + '\x74' + chr(0b1011010 + 0o14) + chr(0b100110 + 0o7) + chr(0b110011 + 0o5))): zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b"Z4\x1d\xd2\xabQ'h\|#a-\xa0\xd2\x8fr\xb9qt\xe3"), chr(7784 - 7684) + chr(101) + chr(99) + chr(6807 - 6696) + '\x64' + chr(4689 - 4588))(chr(3880 - 3763) + chr(1375 - 1259) + chr(803 - 701) + chr(45) + chr(0b0 + 0o70)), OCVQ5bJHqbsc, xafqLlk3kkUe(SXOLrMavuUCe(b'}3\x00\xdb\xbc\x156)3pg!\xa1\xd2\x8eb\xecqE\xf4\xa0H\x89\x1f\xfc\xa5'), '\x64' + chr(101) + chr(99) + chr(0b101110 + 0o101) + '\x64' + chr(1221 - 1120))(chr(0b1110101) + chr(0b1110010 + 0o2) + chr(0b1100110) + chr(929 - 884) + '\x38')) return SpbUAwSHCnfJ = igThHS4jwVsa.igThHS4jwVsa(YyaZ4tpXu4lf(SpbUAwSHCnfJ)) xafqLlk3kkUe(drxw09AdRdci, xafqLlk3kkUe(SXOLrMavuUCe(b'o=\x01\xd8\xa8Yb'), '\144' + '\x65' + '\143' + '\157' + chr(100) + '\x65')(chr(5102 - 4985) + chr(0b101000 + 0o114) + chr(0b100011 + 0o103) + '\055' + chr(2351 - 2295)))(SpbUAwSHCnfJ) global os7JW2wlxiB7, CRLtg5PkcRme, R9zHCusre3DX, BIBilSFgCSgi, SnnjE97kzcGZ os7JW2wlxiB7 = c2A0yzQpDQB3(SpbUAwSHCnfJ) CRLtg5PkcRme = ehT0Px3KOsy9('\060' + chr(0b1101111) + '\060', 8) R9zHCusre3DX = ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', 8) BIBilSFgCSgi = ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(11563 - 11452) + '\x30', 8) SnnjE97kzcGZ = {} WtwjCI_b3w8O = avYv2AlNmP5g() for DvLaAVgceHbA in PJ0Bsgis3zLE: sijXcSaDomT1 = cWd7MrLpnu4C(target=XrljLFqgWZy4, args=(WtwjCI_b3w8O, DvLaAVgceHbA)) xafqLlk3kkUe(sijXcSaDomT1, xafqLlk3kkUe(SXOLrMavuUCe(b'o0\x00\xfa\xafPjs}'), '\x64' + '\145' + chr(3336 - 3237) + chr(11319 - 11208) + '\x64' + '\145')(chr(0b1101100 + 0o11) + chr(0b1101101 + 0o7) + chr(4439 - 4337) + chr(45) + '\070'))(ehT0Px3KOsy9(chr(48) + chr(0b1100110 + 0o11) + '\x31', 0b1000)) xafqLlk3kkUe(sijXcSaDomT1, xafqLlk3kkUe(SXOLrMavuUCe(b'o!\x15\xcc\xba'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + chr(7307 - 7207) + chr(101))(chr(0b10100 + 0o141) + '\x74' + chr(0b1100110) + chr(45) + chr(0b111000)))() for LeATV1fChSRY in SpbUAwSHCnfJ: xafqLlk3kkUe(WtwjCI_b3w8O, xafqLlk3kkUe(SXOLrMavuUCe(b'l \x00'), '\144' + chr(101) + chr(0b101111 + 0o64) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(117) + '\x74' + chr(4644 - 4542) + '\x2d' + chr(2510 - 2454)))(LeATV1fChSRY) xafqLlk3kkUe(WtwjCI_b3w8O, xafqLlk3kkUe(SXOLrMavuUCe(b'C:#\xe6\xb4AQR}rJ\x04'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(6074 - 5963) + chr(100) + '\145')('\165' + '\164' + chr(5778 - 5676) + '\055' + '\x38'))()
slundberg/shap	shap/plots/monitoring.py	monitoring_plot	def monitoring_plot(ind, shap_values, features, feature_names=None): """ Create a SHAP monitoring plot. (Note this function is preliminary and subject to change!!) A SHAP monitoring plot is meant to display the behavior of a model over time. Often the shap_values given to this plot explain the loss of a model, so changes in a feature's impact on the model's loss over time can help in monitoring the model's performance. Parameters ---------- ind : int Index of the feature to plot. shap_values : numpy.array Matrix of SHAP values (# samples x # features) features : numpy.array or pandas.DataFrame Matrix of feature values (# samples x # features) feature_names : list Names of the features (length # features) """ if str(type(features)).endswith("'pandas.core.frame.DataFrame'>"): if feature_names is None: feature_names = features.columns features = features.values pl.figure(figsize=(10,3)) ys = shap_values[:,ind] xs = np.arange(len(ys))#np.linspace(0, 122, len(ys)) pvals = [] inc = 50 for i in range(inc, len(ys)-inc, inc): #stat, pval = scipy.stats.mannwhitneyu(v[:i], v[i:], alternative="two-sided") stat, pval = scipy.stats.ttest_ind(ys[:i], ys[i:]) pvals.append(pval) min_pval = np.min(pvals) min_pval_ind = np.argmin(pvals)inc + inc if min_pval < 0.05 / shap_values.shape[1]: pl.axvline(min_pval_ind, linestyle="dashed", color="#666666", alpha=0.2) pl.scatter(xs, ys, s=10, c=features[:,ind], cmap=colors.red_blue) pl.xlabel("Sample index") pl.ylabel(truncate_text(feature_names[ind], 30) + "\nSHAP value", size=13) pl.gca().xaxis.set_ticks_position('bottom') pl.gca().yaxis.set_ticks_position('left') pl.gca().spines['right'].set_visible(False) pl.gca().spines['top'].set_visible(False) cb = pl.colorbar() cb.outline.set_visible(False) bbox = cb.ax.get_window_extent().transformed(pl.gcf().dpi_scale_trans.inverted()) cb.ax.set_aspect((bbox.height - 0.7) * 20) cb.set_label(truncate_text(feature_names[ind], 30), size=13) pl.show()	python	def monitoring_plot(ind, shap_values, features, feature_names=None): """ Create a SHAP monitoring plot. (Note this function is preliminary and subject to change!!) A SHAP monitoring plot is meant to display the behavior of a model over time. Often the shap_values given to this plot explain the loss of a model, so changes in a feature's impact on the model's loss over time can help in monitoring the model's performance. Parameters ---------- ind : int Index of the feature to plot. shap_values : numpy.array Matrix of SHAP values (# samples x # features) features : numpy.array or pandas.DataFrame Matrix of feature values (# samples x # features) feature_names : list Names of the features (length # features) """ if str(type(features)).endswith("'pandas.core.frame.DataFrame'>"): if feature_names is None: feature_names = features.columns features = features.values pl.figure(figsize=(10,3)) ys = shap_values[:,ind] xs = np.arange(len(ys))#np.linspace(0, 122, len(ys)) pvals = [] inc = 50 for i in range(inc, len(ys)-inc, inc): #stat, pval = scipy.stats.mannwhitneyu(v[:i], v[i:], alternative="two-sided") stat, pval = scipy.stats.ttest_ind(ys[:i], ys[i:]) pvals.append(pval) min_pval = np.min(pvals) min_pval_ind = np.argmin(pvals)inc + inc if min_pval < 0.05 / shap_values.shape[1]: pl.axvline(min_pval_ind, linestyle="dashed", color="#666666", alpha=0.2) pl.scatter(xs, ys, s=10, c=features[:,ind], cmap=colors.red_blue) pl.xlabel("Sample index") pl.ylabel(truncate_text(feature_names[ind], 30) + "\nSHAP value", size=13) pl.gca().xaxis.set_ticks_position('bottom') pl.gca().yaxis.set_ticks_position('left') pl.gca().spines['right'].set_visible(False) pl.gca().spines['top'].set_visible(False) cb = pl.colorbar() cb.outline.set_visible(False) bbox = cb.ax.get_window_extent().transformed(pl.gcf().dpi_scale_trans.inverted()) cb.ax.set_aspect((bbox.height - 0.7) * 20) cb.set_label(truncate_text(feature_names[ind], 30), size=13) pl.show()	[ "def", "monitoring_plot", "(", "ind", ",", "shap_values", ",", "features", ",", "feature_names", "=", "None", ")", ":", "if", "str", "(", "type", "(", "features", ")", ")", ".", "endswith", "(", "\"'pandas.core.frame.DataFrame'>\"", ")", ":", "if", "feature_names", "is", "None", ":", "feature_names", "=", "features", ".", "columns", "features", "=", "features", ".", "values", "pl", ".", "figure", "(", "figsize", "=", "(", "10", ",", "3", ")", ")", "ys", "=", "shap_values", "[", ":", ",", "ind", "]", "xs", "=", "np", ".", "arange", "(", "len", "(", "ys", ")", ")", "#np.linspace(0, 122, len(ys))", "pvals", "=", "[", "]", "inc", "=", "50", "for", "i", "in", "range", "(", "inc", ",", "len", "(", "ys", ")", "-", "inc", ",", "inc", ")", ":", "#stat, pval = scipy.stats.mannwhitneyu(v[:i], v[i:], alternative=\"two-sided\")", "stat", ",", "pval", "=", "scipy", ".", "stats", ".", "ttest_ind", "(", "ys", "[", ":", "i", "]", ",", "ys", "[", "i", ":", "]", ")", "pvals", ".", "append", "(", "pval", ")", "min_pval", "=", "np", ".", "min", "(", "pvals", ")", "min_pval_ind", "=", "np", ".", "argmin", "(", "pvals", ")", "", "inc", "+", "inc", "if", "min_pval", "<", "0.05", "/", "shap_values", ".", "shape", "[", "1", "]", ":", "pl", ".", "axvline", "(", "min_pval_ind", ",", "linestyle", "=", "\"dashed\"", ",", "color", "=", "\"#666666\"", ",", "alpha", "=", "0.2", ")", "pl", ".", "scatter", "(", "xs", ",", "ys", ",", "s", "=", "10", ",", "c", "=", "features", "[", ":", ",", "ind", "]", ",", "cmap", "=", "colors", ".", "red_blue", ")", "pl", ".", "xlabel", "(", "\"Sample index\"", ")", "pl", ".", "ylabel", "(", "truncate_text", "(", "feature_names", "[", "ind", "]", ",", "30", ")", "+", "\"\\nSHAP value\"", ",", "size", "=", "13", ")", "pl", ".", "gca", "(", ")", ".", "xaxis", ".", "set_ticks_position", "(", "'bottom'", ")", "pl", ".", "gca", "(", ")", ".", "yaxis", ".", "set_ticks_position", "(", "'left'", ")", "pl", ".", "gca", "(", ")", ".", "spines", "[", "'right'", "]", ".", "set_visible", "(", "False", ")", "pl", ".", "gca", "(", ")", ".", "spines", "[", "'top'", "]", ".", "set_visible", "(", "False", ")", "cb", "=", "pl", ".", "colorbar", "(", ")", "cb", ".", "outline", ".", "set_visible", "(", "False", ")", "bbox", "=", "cb", ".", "ax", ".", "get_window_extent", "(", ")", ".", "transformed", "(", "pl", ".", "gcf", "(", ")", ".", "dpi_scale_trans", ".", "inverted", "(", ")", ")", "cb", ".", "ax", ".", "set_aspect", "(", "(", "bbox", ".", "height", "-", "0.7", ")", "*", "20", ")", "cb", ".", "set_label", "(", "truncate_text", "(", "feature_names", "[", "ind", "]", ",", "30", ")", ",", "size", "=", "13", ")", "pl", ".", "show", "(", ")" ]	Create a SHAP monitoring plot. (Note this function is preliminary and subject to change!!) A SHAP monitoring plot is meant to display the behavior of a model over time. Often the shap_values given to this plot explain the loss of a model, so changes in a feature's impact on the model's loss over time can help in monitoring the model's performance. Parameters ---------- ind : int Index of the feature to plot. shap_values : numpy.array Matrix of SHAP values (# samples x # features) features : numpy.array or pandas.DataFrame Matrix of feature values (# samples x # features) feature_names : list Names of the features (length # features)	[ "Create", "a", "SHAP", "monitoring", "plot", ".", "(", "Note", "this", "function", "is", "preliminary", "and", "subject", "to", "change!!", ")", "A", "SHAP", "monitoring", "plot", "is", "meant", "to", "display", "the", "behavior", "of", "a", "model", "over", "time", ".", "Often", "the", "shap_values", "given", "to", "this", "plot", "explain", "the", "loss", "of", "a", "model", "so", "changes", "in", "a", "feature", "s", "impact", "on", "the", "model", "s", "loss", "over", "time", "can", "help", "in", "monitoring", "the", "model", "s", "performance", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/plots/monitoring.py#L20-L78	train	Create a SHAP monitoring plot.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2019 - 1968) + chr(0b11100 + 0o27) + '\x34', 54514 - 54506), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + chr(877 - 826) + chr(2734 - 2681), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b100000 + 0o117) + chr(0b100010 + 0o21) + chr(55) + '\064', 0b1000), ehT0Px3KOsy9(chr(445 - 397) + chr(0b1000010 + 0o55) + chr(0b11011 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(349 - 301) + '\157' + chr(0b110011) + chr(2534 - 2481) + chr(0b10 + 0o57), 7146 - 7138), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b101111 + 0o10) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11011 + 0o30) + chr(0b100111 + 0o12) + '\063', 0b1000), ehT0Px3KOsy9(chr(454 - 406) + chr(111) + chr(1710 - 1655) + chr(0b110000), 47803 - 47795), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\065' + chr(0b10 + 0o63), 12206 - 12198), ehT0Px3KOsy9(chr(236 - 188) + '\x6f' + chr(50) + chr(2355 - 2304) + chr(53), 51235 - 51227), ehT0Px3KOsy9(chr(344 - 296) + '\157' + '\061' + chr(0b11000 + 0o33) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1898 - 1848) + '\064' + chr(55), 0b1000), ehT0Px3KOsy9(chr(2240 - 2192) + chr(746 - 635) + chr(0b11001 + 0o30) + '\x36' + chr(2122 - 2072), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001001 + 0o46) + chr(0b10111 + 0o32) + chr(50) + chr(51), 0b1000), ehT0Px3KOsy9(chr(704 - 656) + chr(0b1000101 + 0o52) + chr(0b110010) + chr(1533 - 1485) + chr(0b100010 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b11010 + 0o35) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(203 - 154), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(8891 - 8780) + chr(0b101 + 0o54) + chr(0b110001) + chr(419 - 369), 15573 - 15565), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1001 + 0o55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010111 + 0o30) + chr(51) + chr(0b10111 + 0o32) + chr(257 - 209), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7442 - 7331) + chr(51) + '\x33', 0b1000), ehT0Px3KOsy9(chr(673 - 625) + '\157' + chr(49) + chr(0b110011), 29415 - 29407), ehT0Px3KOsy9(chr(154 - 106) + chr(0b100011 + 0o114) + chr(553 - 502) + '\x34' + chr(672 - 623), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b0 + 0o62) + '\061' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + '\x32' + chr(863 - 812) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1059 - 1011) + chr(111) + chr(50) + chr(0b1000 + 0o56), 39129 - 39121), ehT0Px3KOsy9('\060' + chr(0b110011 + 0o74) + chr(51) + chr(0b110111) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + '\x32' + chr(0b110001) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b11000 + 0o127) + chr(2392 - 2342) + chr(0b110010) + chr(0b1110 + 0o51), 0o10), ehT0Px3KOsy9(chr(48) + chr(5323 - 5212) + chr(0b11110 + 0o25) + chr(2676 - 2624) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\060' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\062' + '\x30' + chr(1235 - 1187), 0b1000), ehT0Px3KOsy9(chr(2149 - 2101) + chr(0b11101 + 0o122) + '\x31' + chr(0b100001 + 0o23) + chr(0b11010 + 0o31), 40463 - 40455), ehT0Px3KOsy9(chr(48) + chr(5442 - 5331) + '\x32' + '\064' + '\067', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b110111) + chr(613 - 563), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110100) + chr(54), 46021 - 46013), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101001 + 0o15) + chr(1903 - 1854), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(159 - 110) + chr(0b110101) + chr(54), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + '\x30', 10013 - 10005)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2'), chr(674 - 574) + chr(0b111101 + 0o50) + '\x63' + chr(111) + '\x64' + '\x65')(chr(0b1010111 + 0o36) + '\164' + chr(7713 - 7611) + chr(0b101101) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def SqOTB6Xs9RAB(r3s_x88rHjuC, B6TQhWekbimD, EEf4r9nUvta_, pfS5O3iUpFhz=None): if xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(EEf4r9nUvta_)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9s\x98q\x9e\xd5\xbfP'), chr(9183 - 9083) + '\145' + chr(5416 - 5317) + chr(0b1101111) + '\144' + chr(7645 - 7544))('\x75' + chr(0b1110100) + '\146' + '\x2d' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfbm\x9dl\x8d\xdd\xb8\x16\x0e\xf2/N\x89\x14!\xe6\x13tdB\xa9oj\xa7\xfd\xfd{\x9f\xaa\xa9'), chr(0b100101 + 0o77) + '\145' + '\143' + chr(0b1101101 + 0o2) + chr(0b11011 + 0o111) + chr(10102 - 10001))('\x75' + '\164' + chr(0b110110 + 0o60) + '\x2d' + chr(778 - 722))): if pfS5O3iUpFhz is None: pfS5O3iUpFhz = EEf4r9nUvta_.qKlXBtn3PKy4 EEf4r9nUvta_ = EEf4r9nUvta_.SPnCNu54H1db xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbat\x9bw\x9b\xd9'), chr(0b101010 + 0o72) + chr(9511 - 9410) + '\x63' + chr(0b1011111 + 0o20) + chr(100) + chr(1786 - 1685))('\165' + '\164' + chr(0b1100110) + chr(641 - 596) + chr(1973 - 1917)))(figsize=(ehT0Px3KOsy9(chr(916 - 868) + chr(0b1010011 + 0o34) + '\061' + '\062', 0b1000), ehT0Px3KOsy9(chr(56 - 8) + chr(0b1101111) + '\063', ord("\x08")))) oCqQNfCOTQKb = B6TQhWekbimD[:, r3s_x88rHjuC] f0GvdYMiCwc9 = WqUC3KWvYVup.arange(c2A0yzQpDQB3(oCqQNfCOTQKb)) F967A3BYXo9i = [] dicZS4hSdB9L = ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110110) + '\062', ord("\x08")) for WVxHKyX45z_L in vQr8gNKaIaWE(dicZS4hSdB9L, c2A0yzQpDQB3(oCqQNfCOTQKb) - dicZS4hSdB9L, dicZS4hSdB9L): (KDNtFi7Uc6bo, _VxiBx9pK26E) = evIdJHfOlMSS.stats.ttest_ind(oCqQNfCOTQKb[:WVxHKyX45z_L], oCqQNfCOTQKb[WVxHKyX45z_L:]) xafqLlk3kkUe(F967A3BYXo9i, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbdm\x8cg\x87\xd8'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(4415 - 4304) + chr(100) + chr(0b1100101))('\165' + chr(0b1110100) + '\x66' + chr(0b10011 + 0o32) + chr(1582 - 1526)))(_VxiBx9pK26E) Iuegk78MIkYm = WqUC3KWvYVup.Dx22bkKPdt5d(F967A3BYXo9i) pb7TvoQZHjAM = WqUC3KWvYVup.argmin(F967A3BYXo9i) * dicZS4hSdB9L + dicZS4hSdB9L if Iuegk78MIkYm < 0.05 / xafqLlk3kkUe(B6TQhWekbimD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2\|\x89[\x8f\xf0\xacT9\xed>I'), '\144' + '\145' + chr(0b1100011) + '\x6f' + '\144' + '\145')(chr(117) + chr(116) + '\146' + chr(1031 - 986) + chr(0b111000)))[ehT0Px3KOsy9(chr(384 - 336) + '\x6f' + '\x31', 0o10)]: xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbde\x8an\x80\xd2\xae'), chr(0b11100 + 0o110) + chr(0b1100101) + '\143' + chr(2254 - 2143) + chr(534 - 434) + '\x65')(chr(8566 - 8449) + '\x74' + chr(0b1100 + 0o132) + '\055' + '\x38'))(pb7TvoQZHjAM, linestyle=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8\|\x8fj\x8c\xd8'), '\144' + '\145' + chr(99) + chr(0b111011 + 0o64) + '\144' + chr(0b1100101))(chr(117) + chr(0b1 + 0o163) + chr(102) + '\x2d' + chr(1747 - 1691)), color=xafqLlk3kkUe(SXOLrMavuUCe(b'\xff+\xca4\xdf\x8a\xfd'), chr(100) + chr(0b1100101) + chr(2979 - 2880) + chr(9979 - 9868) + chr(0b1100100) + chr(0b110111 + 0o56))(chr(117) + '\164' + chr(8160 - 8058) + chr(0b101101) + chr(0b111000)), alpha=0.2) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf~\x9dv\x9d\xd9\xb9'), '\x64' + chr(101) + chr(0b1100011) + '\157' + '\x64' + chr(0b111110 + 0o47))(chr(0b1110101) + chr(0b111001 + 0o73) + '\x66' + '\x2d' + chr(0b111000)))(f0GvdYMiCwc9, oCqQNfCOTQKb, s=ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + '\x31' + chr(0b110010), 8), c=EEf4r9nUvta_[:, r3s_x88rHjuC], cmap=xafqLlk3kkUe(bVKMf_d5jJzc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaex\x98]\x8b\xd0\xbe]'), chr(1806 - 1706) + chr(101) + chr(0b1100011) + chr(0b1101100 + 0o3) + '\144' + '\x65')(chr(0b1110101) + chr(4055 - 3939) + '\146' + '\x2d' + chr(2411 - 2355)))) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4q\x9d`\x8c\xd0'), chr(0b1000001 + 0o43) + chr(0b1100101) + chr(2666 - 2567) + chr(111) + chr(0b101110 + 0o66) + chr(0b1100101))(chr(117) + chr(5151 - 5035) + chr(0b1000110 + 0o40) + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f\|\x91r\x85\xd9\xebQ\x03\xf98S'), chr(6526 - 6426) + chr(0b11111 + 0o106) + '\143' + chr(111) + '\144' + chr(7580 - 7479))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(592 - 547) + chr(0b111000))) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5q\x9d`\x8c\xd0'), '\144' + chr(0b1100101) + '\143' + chr(0b1010011 + 0o34) + '\144' + chr(9518 - 9417))(chr(3989 - 3872) + chr(7306 - 7190) + chr(0b1100110) + chr(45) + chr(0b101001 + 0o17)))(DegIof3MdSMS(pfS5O3iUpFhz[r3s_x88rHjuC], ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(54), 43720 - 43712)) + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6N\xb4C\xb9\x9c\xbdY\x01\xe88'), chr(4831 - 4731) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(1121 - 1021) + chr(101))(chr(117) + '\x74' + '\x66' + chr(1788 - 1743) + chr(849 - 793)), size=ehT0Px3KOsy9(chr(1536 - 1488) + chr(0b1101111) + chr(473 - 424) + chr(1104 - 1051), 0o10)) xafqLlk3kkUe(_Io90I7sfc_c.gca().xaxis, xafqLlk3kkUe(SXOLrMavuUCe(b"\xafx\x88]\x9d\xd5\xa8S\x1e\xc2-D\xd4\x1b'\xee\x11\x7f"), chr(0b1010111 + 0o15) + chr(9730 - 9629) + '\x63' + '\x6f' + chr(7191 - 7091) + chr(8955 - 8854))(chr(0b1110101) + '\164' + chr(0b1010010 + 0o24) + chr(0b100000 + 0o15) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xber\x88v\x86\xd1'), '\x64' + chr(0b1010100 + 0o21) + chr(0b1100011) + '\157' + chr(2371 - 2271) + chr(0b1100101))(chr(0b110001 + 0o104) + chr(116) + chr(4769 - 4667) + '\055' + '\070')) xafqLlk3kkUe(_Io90I7sfc_c.gca().yaxis, xafqLlk3kkUe(SXOLrMavuUCe(b"\xafx\x88]\x9d\xd5\xa8S\x1e\xc2-D\xd4\x1b'\xee\x11\x7f"), chr(100) + chr(0b1100101) + chr(99) + chr(0b101111 + 0o100) + chr(1779 - 1679) + '\145')('\165' + chr(0b11001 + 0o133) + chr(0b1100110) + chr(0b1001 + 0o44) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0x\x9av'), chr(0b111001 + 0o53) + '\145' + '\x63' + '\x6f' + chr(0b1100100) + chr(101))('\x75' + chr(5154 - 5038) + chr(102) + chr(0b1001 + 0o44) + chr(0b111 + 0o61))) xafqLlk3kkUe(_Io90I7sfc_c.gca().spines[xafqLlk3kkUe(SXOLrMavuUCe(b'\xaet\x9bj\x9d'), chr(0b1 + 0o143) + chr(0b110100 + 0o61) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b111101 + 0o50))(chr(6739 - 6622) + chr(0b1111 + 0o145) + '\146' + chr(45) + chr(0b111000))], xafqLlk3kkUe(SXOLrMavuUCe(b'\xafx\x88]\x9f\xd5\xb8Q\x0f\xf18'), '\x64' + '\x65' + chr(5091 - 4992) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b111 + 0o46) + '\070'))(ehT0Px3KOsy9(chr(457 - 409) + '\157' + chr(1559 - 1511), 0b1000)) xafqLlk3kkUe(_Io90I7sfc_c.gca().spines[xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8r\x8c'), chr(2632 - 2532) + chr(101) + chr(0b110100 + 0o57) + chr(0b1101111) + '\144' + chr(101))(chr(0b1110 + 0o147) + chr(116) + chr(102) + '\x2d' + chr(56))], xafqLlk3kkUe(SXOLrMavuUCe(b'\xafx\x88]\x9f\xd5\xb8Q\x0f\xf18'), chr(100) + '\145' + '\143' + chr(0b1101111) + chr(0b1100100 + 0o0) + '\145')(chr(117) + chr(116) + chr(5320 - 5218) + chr(0b101101) + '\070'))(ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(668 - 620), 8)) hfOA2bIyYn7s = _Io90I7sfc_c.colorbar() xafqLlk3kkUe(hfOA2bIyYn7s.outline, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafx\x88]\x9f\xd5\xb8Q\x0f\xf18'), chr(0b1100100) + '\145' + '\x63' + chr(11219 - 11108) + chr(7244 - 7144) + chr(0b1000001 + 0o44))('\165' + '\x74' + '\146' + chr(45) + '\070'))(ehT0Px3KOsy9('\x30' + chr(111) + '\060', 8)) HdQfPnA6nf66 = hfOA2bIyYn7s.ax.get_window_extent().aMh8mto44T2o(_Io90I7sfc_c.gcf().dpi_scale_trans.inverted()) xafqLlk3kkUe(hfOA2bIyYn7s.ax, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafx\x88]\x88\xcf\xbb]\x0e\xe9'), chr(100) + chr(101) + chr(0b1100011) + chr(4591 - 4480) + '\x64' + chr(0b10110 + 0o117))('\x75' + chr(7477 - 7361) + chr(0b110001 + 0o65) + chr(45) + '\x38'))((xafqLlk3kkUe(HdQfPnA6nf66, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9u\x9eW\xbc\xf0\x80M\x14\xfa;h'), '\144' + chr(0b1100101) + '\x63' + chr(6342 - 6231) + chr(4604 - 4504) + chr(0b1100010 + 0o3))('\165' + chr(0b1110100) + '\146' + chr(0b1100 + 0o41) + chr(1172 - 1116))) - 0.7) * ehT0Px3KOsy9(chr(1621 - 1573) + chr(0b1101111) + chr(50) + chr(2605 - 2553), 0b1000)) xafqLlk3kkUe(hfOA2bIyYn7s, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafx\x88]\x85\xdd\xa9]\x01'), chr(0b1100100) + '\x65' + chr(2336 - 2237) + '\157' + chr(0b1011011 + 0o11) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(7101 - 6999) + chr(45) + chr(0b110101 + 0o3)))(DegIof3MdSMS(pfS5O3iUpFhz[r3s_x88rHjuC], ehT0Px3KOsy9(chr(2178 - 2130) + chr(111) + '\063' + chr(171 - 117), 8)), size=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2042 - 1993) + chr(0b1011 + 0o52), 8)) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xafu\x93u'), chr(8616 - 8516) + chr(0b10011 + 0o122) + chr(99) + chr(0b1 + 0o156) + chr(2594 - 2494) + chr(101))('\165' + '\x74' + '\146' + '\x2d' + chr(368 - 312)))()
slundberg/shap	shap/explainers/kernel.py	kmeans	def kmeans(X, k, round_values=True): """ Summarize a dataset with k mean samples weighted by the number of data points they each represent. Parameters ---------- X : numpy.array or pandas.DataFrame Matrix of data samples to summarize (# samples x # features) k : int Number of means to use for approximation. round_values : bool For all i, round the ith dimension of each mean sample to match the nearest value from X[:,i]. This ensures discrete features always get a valid value. Returns ------- DenseData object. """ group_names = [str(i) for i in range(X.shape[1])] if str(type(X)).endswith("'pandas.core.frame.DataFrame'>"): group_names = X.columns X = X.values kmeans = KMeans(n_clusters=k, random_state=0).fit(X) if round_values: for i in range(k): for j in range(X.shape[1]): ind = np.argmin(np.abs(X[:,j] - kmeans.cluster_centers_[i,j])) kmeans.cluster_centers_[i,j] = X[ind,j] return DenseData(kmeans.cluster_centers_, group_names, None, 1.0*np.bincount(kmeans.labels_))	python	def kmeans(X, k, round_values=True): """ Summarize a dataset with k mean samples weighted by the number of data points they each represent. Parameters ---------- X : numpy.array or pandas.DataFrame Matrix of data samples to summarize (# samples x # features) k : int Number of means to use for approximation. round_values : bool For all i, round the ith dimension of each mean sample to match the nearest value from X[:,i]. This ensures discrete features always get a valid value. Returns ------- DenseData object. """ group_names = [str(i) for i in range(X.shape[1])] if str(type(X)).endswith("'pandas.core.frame.DataFrame'>"): group_names = X.columns X = X.values kmeans = KMeans(n_clusters=k, random_state=0).fit(X) if round_values: for i in range(k): for j in range(X.shape[1]): ind = np.argmin(np.abs(X[:,j] - kmeans.cluster_centers_[i,j])) kmeans.cluster_centers_[i,j] = X[ind,j] return DenseData(kmeans.cluster_centers_, group_names, None, 1.0*np.bincount(kmeans.labels_))	[ "def", "kmeans", "(", "X", ",", "k", ",", "round_values", "=", "True", ")", ":", "group_names", "=", "[", "str", "(", "i", ")", "for", "i", "in", "range", "(", "X", ".", "shape", "[", "1", "]", ")", "]", "if", "str", "(", "type", "(", "X", ")", ")", ".", "endswith", "(", "\"'pandas.core.frame.DataFrame'>\"", ")", ":", "group_names", "=", "X", ".", "columns", "X", "=", "X", ".", "values", "kmeans", "=", "KMeans", "(", "n_clusters", "=", "k", ",", "random_state", "=", "0", ")", ".", "fit", "(", "X", ")", "if", "round_values", ":", "for", "i", "in", "range", "(", "k", ")", ":", "for", "j", "in", "range", "(", "X", ".", "shape", "[", "1", "]", ")", ":", "ind", "=", "np", ".", "argmin", "(", "np", ".", "abs", "(", "X", "[", ":", ",", "j", "]", "-", "kmeans", ".", "cluster_centers_", "[", "i", ",", "j", "]", ")", ")", "kmeans", ".", "cluster_centers_", "[", "i", ",", "j", "]", "=", "X", "[", "ind", ",", "j", "]", "return", "DenseData", "(", "kmeans", ".", "cluster_centers_", ",", "group_names", ",", "None", ",", "1.0", "*", "np", ".", "bincount", "(", "kmeans", ".", "labels_", ")", ")" ]	Summarize a dataset with k mean samples weighted by the number of data points they each represent. Parameters ---------- X : numpy.array or pandas.DataFrame Matrix of data samples to summarize (# samples x # features) k : int Number of means to use for approximation. round_values : bool For all i, round the ith dimension of each mean sample to match the nearest value from X[:,i]. This ensures discrete features always get a valid value. Returns ------- DenseData object.	[ "Summarize", "a", "dataset", "with", "k", "mean", "samples", "weighted", "by", "the", "number", "of", "data", "points", "they", "each", "represent", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/kernel.py#L18-L50	train	Summarize a dataset with k mean samples weighted by the number of data points they each represent.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + chr(0b110011) + chr(50) + chr(51), 3518 - 3510), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b110000) + chr(0b110000 + 0o4), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + chr(0b110011) + chr(0b100011 + 0o17) + chr(951 - 901), 11749 - 11741), ehT0Px3KOsy9(chr(48) + '\157' + chr(54) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(51 - 0) + chr(2347 - 2295) + chr(0b110101), 24751 - 24743), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(1135 - 1024) + chr(0b1001 + 0o51) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b11 + 0o61) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(1631 - 1579) + chr(1951 - 1902), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + '\063' + chr(51) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9012 - 8901) + chr(49) + chr(66 - 11), 1043 - 1035), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + '\067' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x34' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\x34' + chr(0b1000 + 0o51), 8), ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + chr(0b110010 + 0o0) + '\064', 0b1000), ehT0Px3KOsy9(chr(117 - 69) + '\157' + '\063' + chr(0b1100 + 0o51) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(2115 - 2064) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1253 - 1205) + chr(0b10100 + 0o133) + '\062' + '\x36', 14543 - 14535), ehT0Px3KOsy9(chr(2218 - 2170) + '\x6f' + '\062' + chr(1445 - 1393) + '\061', 8), ehT0Px3KOsy9('\060' + '\157' + '\067' + chr(1751 - 1701), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1676 - 1626) + chr(2378 - 2324) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(50) + chr(593 - 544) + chr(0b110000 + 0o4), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10110 + 0o35) + chr(1300 - 1246) + '\061', 12081 - 12073), ehT0Px3KOsy9(chr(0b110000) + chr(0b10000 + 0o137) + '\063' + chr(1932 - 1882) + chr(0b100001 + 0o23), 60716 - 60708), ehT0Px3KOsy9(chr(48) + chr(0b1101111 + 0o0) + chr(0b110010) + chr(0b110 + 0o52) + chr(0b11110 + 0o30), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\066' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + '\065' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(1732 - 1684) + '\157' + chr(1193 - 1143) + '\x30' + chr(1484 - 1433), 51465 - 51457), ehT0Px3KOsy9('\060' + chr(0b1011011 + 0o24) + chr(0b110010) + chr(0b110100) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(964 - 853) + chr(51) + chr(1766 - 1717) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2204 - 2154) + chr(0b110001 + 0o4) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1243 - 1192) + chr(0b101001 + 0o10) + chr(0b100110 + 0o14), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\064' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\066' + chr(0b10010 + 0o37), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11011 + 0o27) + chr(51) + chr(0b101101 + 0o3), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1109 - 1059) + '\064' + chr(1127 - 1072), 0o10), ehT0Px3KOsy9(chr(965 - 917) + chr(0b110101 + 0o72) + '\x31' + '\061' + chr(0b0 + 0o63), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(1714 - 1603) + chr(0b110011) + chr(0b11010 + 0o33) + chr(54), 8), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b101001 + 0o106) + chr(0b100000 + 0o22) + '\060' + chr(0b110000), 8086 - 8078), ehT0Px3KOsy9(chr(178 - 130) + '\x6f' + chr(561 - 512) + chr(0b110011) + chr(0b110011), 47556 - 47548)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b100101 + 0o112) + '\065' + chr(0b11111 + 0o21), 57243 - 57235)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfd'), chr(0b111100 + 0o50) + '\x65' + chr(0b110111 + 0o54) + chr(0b1101111) + chr(100) + chr(0b1001001 + 0o34))(chr(0b1010011 + 0o42) + chr(11976 - 11860) + '\x66' + '\055' + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def GF2t9GT6kS5b(xEgrFJ0REugl, OolUPRJhRaJd, WZeKLn3lPqrC=ehT0Px3KOsy9(chr(48) + chr(0b110100 + 0o73) + '\061', 13440 - 13432)): t0ldFBMG5o38 = [M8_cKLkHVB2V(WVxHKyX45z_L) for WVxHKyX45z_L in vQr8gNKaIaWE(xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001), 8)])] if xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6\xaa\xb6D\x92\|\xd0\xc9'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\x6f' + chr(0b110000 + 0o64) + '\x65')('\165' + chr(116) + '\146' + chr(0b101101) + chr(0b11001 + 0o37)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xb4\xb3Y\x81t\xd7\x8f\xb9`\x0cG\x8fr\x9c~{\xc4\x14\xf0\xed\x85\xb5\xc0\x07\x88\xee\xc5\xea\x92'), chr(0b101000 + 0o74) + chr(0b1100101) + chr(5826 - 5727) + '\x6f' + '\144' + '\x65')(chr(117) + chr(0b1110000 + 0o4) + chr(102) + chr(0b101101) + chr(0b111000))): t0ldFBMG5o38 = xEgrFJ0REugl.qKlXBtn3PKy4 xEgrFJ0REugl = xEgrFJ0REugl.SPnCNu54H1db GF2t9GT6kS5b = gO9BiD6bhruf(n_clusters=OolUPRJhRaJd, random_state=ehT0Px3KOsy9(chr(1645 - 1597) + chr(9313 - 9202) + '\x30', 0b1000)).fit(xEgrFJ0REugl) if WZeKLn3lPqrC: for WVxHKyX45z_L in vQr8gNKaIaWE(OolUPRJhRaJd): for tlORBuYsiw3X in vQr8gNKaIaWE(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\xa5\xa7n\x83Y\xc3\xcd\x8e\x7f\x1d@'), chr(5824 - 5724) + chr(5273 - 5172) + chr(1417 - 1318) + '\157' + '\144' + '\145')('\x75' + chr(116) + chr(5371 - 5269) + '\055' + '\x38'))[ehT0Px3KOsy9(chr(2163 - 2115) + chr(11496 - 11385) + chr(0b110001), 8)]): r3s_x88rHjuC = WqUC3KWvYVup.argmin(WqUC3KWvYVup.abs(xEgrFJ0REugl[:, tlORBuYsiw3X] - GF2t9GT6kS5b.cluster_centers_[WVxHKyX45z_L, tlORBuYsiw3X])) GF2t9GT6kS5b.WsTN2uPafR6W[WVxHKyX45z_L, tlORBuYsiw3X] = xEgrFJ0REugl[r3s_x88rHjuC, tlORBuYsiw3X] return Mr0JRED8M_3Q(xafqLlk3kkUe(GF2t9GT6kS5b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\xb7\x86y\xd7`\xf4\xc0\xbc]Hu'), chr(0b1000010 + 0o42) + '\x65' + '\143' + '\157' + '\x64' + '\x65')(chr(1605 - 1488) + '\x74' + chr(2854 - 2752) + chr(0b100000 + 0o15) + chr(0b111000))), t0ldFBMG5o38, None, 1.0 * xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1\xad\xbcT\x8a`\xca\xd5'), chr(0b11001 + 0o113) + chr(101) + chr(0b1100011) + '\x6f' + '\144' + chr(685 - 584))('\x75' + '\x74' + '\146' + chr(0b101101) + chr(0b1001 + 0o57)))(xafqLlk3kkUe(GF2t9GT6kS5b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbf\xa5\xb0R\x89f\xfb'), chr(4001 - 3901) + chr(2397 - 2296) + chr(0b10001 + 0o122) + chr(0b1111 + 0o140) + chr(0b1100100) + chr(101))(chr(117) + chr(5959 - 5843) + chr(0b1111 + 0o127) + '\x2d' + chr(56)))))
slundberg/shap	shap/explainers/kernel.py	KernelExplainer.shap_values	def shap_values(self, X, *kwargs): """ Estimate the SHAP values for a set of samples. Parameters ---------- X : numpy.array or pandas.DataFrame or any scipy.sparse matrix A matrix of samples (# samples x # features) on which to explain the model's output. nsamples : "auto" or int Number of times to re-evaluate the model when explaining each prediction. More samples lead to lower variance estimates of the SHAP values. The "auto" setting uses `nsamples = 2 X.shape[1] + 2048`. l1_reg : "num_features(int)", "auto" (default for now, but deprecated), "aic", "bic", or float The l1 regularization to use for feature selection (the estimation procedure is based on a debiased lasso). The auto option currently uses "aic" when less that 20% of the possible sample space is enumerated, otherwise it uses no regularization. THE BEHAVIOR OF "auto" WILL CHANGE in a future version to be based on num_features instead of AIC. The "aic" and "bic" options use the AIC and BIC rules for regularization. Using "num_features(int)" selects a fix number of top features. Passing a float directly sets the "alpha" parameter of the sklearn.linear_model.Lasso model used for feature selection. Returns ------- For models with a single output this returns a matrix of SHAP values (# samples x # features). Each row sums to the difference between the model output for that sample and the expected value of the model output (which is stored as expected_value attribute of the explainer). For models with vector outputs this returns a list of such matrices, one for each output. """ # convert dataframes if str(type(X)).endswith("pandas.core.series.Series'>"): X = X.values elif str(type(X)).endswith("'pandas.core.frame.DataFrame'>"): if self.keep_index: index_value = X.index.values index_name = X.index.name column_name = list(X.columns) X = X.values x_type = str(type(X)) arr_type = "'numpy.ndarray'>" # if sparse, convert to lil for performance if sp.sparse.issparse(X) and not sp.sparse.isspmatrix_lil(X): X = X.tolil() assert x_type.endswith(arr_type) or sp.sparse.isspmatrix_lil(X), "Unknown instance type: " + x_type assert len(X.shape) == 1 or len(X.shape) == 2, "Instance must have 1 or 2 dimensions!" # single instance if len(X.shape) == 1: data = X.reshape((1, X.shape[0])) if self.keep_index: data = convert_to_instance_with_index(data, column_name, index_name, index_value) explanation = self.explain(data, kwargs) # vector-output s = explanation.shape if len(s) == 2: outs = [np.zeros(s[0]) for j in range(s[1])] for j in range(s[1]): outs[j] = explanation[:, j] return outs # single-output else: out = np.zeros(s[0]) out[:] = explanation return out # explain the whole dataset elif len(X.shape) == 2: explanations = [] for i in tqdm(range(X.shape[0]), disable=kwargs.get("silent", False)): data = X[i:i + 1, :] if self.keep_index: data = convert_to_instance_with_index(data, column_name, index_value[i:i + 1], index_name) explanations.append(self.explain(data, kwargs)) # vector-output s = explanations[0].shape if len(s) == 2: outs = [np.zeros((X.shape[0], s[0])) for j in range(s[1])] for i in range(X.shape[0]): for j in range(s[1]): outs[j][i] = explanations[i][:, j] return outs # single-output else: out = np.zeros((X.shape[0], s[0])) for i in range(X.shape[0]): out[i] = explanations[i] return out	python	def shap_values(self, X, *kwargs): """ Estimate the SHAP values for a set of samples. Parameters ---------- X : numpy.array or pandas.DataFrame or any scipy.sparse matrix A matrix of samples (# samples x # features) on which to explain the model's output. nsamples : "auto" or int Number of times to re-evaluate the model when explaining each prediction. More samples lead to lower variance estimates of the SHAP values. The "auto" setting uses `nsamples = 2 X.shape[1] + 2048`. l1_reg : "num_features(int)", "auto" (default for now, but deprecated), "aic", "bic", or float The l1 regularization to use for feature selection (the estimation procedure is based on a debiased lasso). The auto option currently uses "aic" when less that 20% of the possible sample space is enumerated, otherwise it uses no regularization. THE BEHAVIOR OF "auto" WILL CHANGE in a future version to be based on num_features instead of AIC. The "aic" and "bic" options use the AIC and BIC rules for regularization. Using "num_features(int)" selects a fix number of top features. Passing a float directly sets the "alpha" parameter of the sklearn.linear_model.Lasso model used for feature selection. Returns ------- For models with a single output this returns a matrix of SHAP values (# samples x # features). Each row sums to the difference between the model output for that sample and the expected value of the model output (which is stored as expected_value attribute of the explainer). For models with vector outputs this returns a list of such matrices, one for each output. """ # convert dataframes if str(type(X)).endswith("pandas.core.series.Series'>"): X = X.values elif str(type(X)).endswith("'pandas.core.frame.DataFrame'>"): if self.keep_index: index_value = X.index.values index_name = X.index.name column_name = list(X.columns) X = X.values x_type = str(type(X)) arr_type = "'numpy.ndarray'>" # if sparse, convert to lil for performance if sp.sparse.issparse(X) and not sp.sparse.isspmatrix_lil(X): X = X.tolil() assert x_type.endswith(arr_type) or sp.sparse.isspmatrix_lil(X), "Unknown instance type: " + x_type assert len(X.shape) == 1 or len(X.shape) == 2, "Instance must have 1 or 2 dimensions!" # single instance if len(X.shape) == 1: data = X.reshape((1, X.shape[0])) if self.keep_index: data = convert_to_instance_with_index(data, column_name, index_name, index_value) explanation = self.explain(data, kwargs) # vector-output s = explanation.shape if len(s) == 2: outs = [np.zeros(s[0]) for j in range(s[1])] for j in range(s[1]): outs[j] = explanation[:, j] return outs # single-output else: out = np.zeros(s[0]) out[:] = explanation return out # explain the whole dataset elif len(X.shape) == 2: explanations = [] for i in tqdm(range(X.shape[0]), disable=kwargs.get("silent", False)): data = X[i:i + 1, :] if self.keep_index: data = convert_to_instance_with_index(data, column_name, index_value[i:i + 1], index_name) explanations.append(self.explain(data, kwargs)) # vector-output s = explanations[0].shape if len(s) == 2: outs = [np.zeros((X.shape[0], s[0])) for j in range(s[1])] for i in range(X.shape[0]): for j in range(s[1]): outs[j][i] = explanations[i][:, j] return outs # single-output else: out = np.zeros((X.shape[0], s[0])) for i in range(X.shape[0]): out[i] = explanations[i] return out	[ "def", "shap_values", "(", "self", ",", "X", ",", "", "", "kwargs", ")", ":", "# convert dataframes", "if", "str", "(", "type", "(", "X", ")", ")", ".", "endswith", "(", "\"pandas.core.series.Series'>\"", ")", ":", "X", "=", "X", ".", "values", "elif", "str", "(", "type", "(", "X", ")", ")", ".", "endswith", "(", "\"'pandas.core.frame.DataFrame'>\"", ")", ":", "if", "self", ".", "keep_index", ":", "index_value", "=", "X", ".", "index", ".", "values", "index_name", "=", "X", ".", "index", ".", "name", "column_name", "=", "list", "(", "X", ".", "columns", ")", "X", "=", "X", ".", "values", "x_type", "=", "str", "(", "type", "(", "X", ")", ")", "arr_type", "=", "\"'numpy.ndarray'>\"", "# if sparse, convert to lil for performance", "if", "sp", ".", "sparse", ".", "issparse", "(", "X", ")", "and", "not", "sp", ".", "sparse", ".", "isspmatrix_lil", "(", "X", ")", ":", "X", "=", "X", ".", "tolil", "(", ")", "assert", "x_type", ".", "endswith", "(", "arr_type", ")", "or", "sp", ".", "sparse", ".", "isspmatrix_lil", "(", "X", ")", ",", "\"Unknown instance type: \"", "+", "x_type", "assert", "len", "(", "X", ".", "shape", ")", "==", "1", "or", "len", "(", "X", ".", "shape", ")", "==", "2", ",", "\"Instance must have 1 or 2 dimensions!\"", "# single instance", "if", "len", "(", "X", ".", "shape", ")", "==", "1", ":", "data", "=", "X", ".", "reshape", "(", "(", "1", ",", "X", ".", "shape", "[", "0", "]", ")", ")", "if", "self", ".", "keep_index", ":", "data", "=", "convert_to_instance_with_index", "(", "data", ",", "column_name", ",", "index_name", ",", "index_value", ")", "explanation", "=", "self", ".", "explain", "(", "data", ",", "", "", "kwargs", ")", "# vector-output", "s", "=", "explanation", ".", "shape", "if", "len", "(", "s", ")", "==", "2", ":", "outs", "=", "[", "np", ".", "zeros", "(", "s", "[", "0", "]", ")", "for", "j", "in", "range", "(", "s", "[", "1", "]", ")", "]", "for", "j", "in", "range", "(", "s", "[", "1", "]", ")", ":", "outs", "[", "j", "]", "=", "explanation", "[", ":", ",", "j", "]", "return", "outs", "# single-output", "else", ":", "out", "=", "np", ".", "zeros", "(", "s", "[", "0", "]", ")", "out", "[", ":", "]", "=", "explanation", "return", "out", "# explain the whole dataset", "elif", "len", "(", "X", ".", "shape", ")", "==", "2", ":", "explanations", "=", "[", "]", "for", "i", "in", "tqdm", "(", "range", "(", "X", ".", "shape", "[", "0", "]", ")", ",", "disable", "=", "kwargs", ".", "get", "(", "\"silent\"", ",", "False", ")", ")", ":", "data", "=", "X", "[", "i", ":", "i", "+", "1", ",", ":", "]", "if", "self", ".", "keep_index", ":", "data", "=", "convert_to_instance_with_index", "(", "data", ",", "column_name", ",", "index_value", "[", "i", ":", "i", "+", "1", "]", ",", "index_name", ")", "explanations", ".", "append", "(", "self", ".", "explain", "(", "data", ",", "", "", "kwargs", ")", ")", "# vector-output", "s", "=", "explanations", "[", "0", "]", ".", "shape", "if", "len", "(", "s", ")", "==", "2", ":", "outs", "=", "[", "np", ".", "zeros", "(", "(", "X", ".", "shape", "[", "0", "]", ",", "s", "[", "0", "]", ")", ")", "for", "j", "in", "range", "(", "s", "[", "1", "]", ")", "]", "for", "i", "in", "range", "(", "X", ".", "shape", "[", "0", "]", ")", ":", "for", "j", "in", "range", "(", "s", "[", "1", "]", ")", ":", "outs", "[", "j", "]", "[", "i", "]", "=", "explanations", "[", "i", "]", "[", ":", ",", "j", "]", "return", "outs", "# single-output", "else", ":", "out", "=", "np", ".", "zeros", "(", "(", "X", ".", "shape", "[", "0", "]", ",", "s", "[", "0", "]", ")", ")", "for", "i", "in", "range", "(", "X", ".", "shape", "[", "0", "]", ")", ":", "out", "[", "i", "]", "=", "explanations", "[", "i", "]", "return", "out" ]	Estimate the SHAP values for a set of samples. Parameters ---------- X : numpy.array or pandas.DataFrame or any scipy.sparse matrix A matrix of samples (# samples x # features) on which to explain the model's output. nsamples : "auto" or int Number of times to re-evaluate the model when explaining each prediction. More samples lead to lower variance estimates of the SHAP values. The "auto" setting uses `nsamples = 2 * X.shape[1] + 2048`. l1_reg : "num_features(int)", "auto" (default for now, but deprecated), "aic", "bic", or float The l1 regularization to use for feature selection (the estimation procedure is based on a debiased lasso). The auto option currently uses "aic" when less that 20% of the possible sample space is enumerated, otherwise it uses no regularization. THE BEHAVIOR OF "auto" WILL CHANGE in a future version to be based on num_features instead of AIC. The "aic" and "bic" options use the AIC and BIC rules for regularization. Using "num_features(int)" selects a fix number of top features. Passing a float directly sets the "alpha" parameter of the sklearn.linear_model.Lasso model used for feature selection. Returns ------- For models with a single output this returns a matrix of SHAP values (# samples x # features). Each row sums to the difference between the model output for that sample and the expected value of the model output (which is stored as expected_value attribute of the explainer). For models with vector outputs this returns a list of such matrices, one for each output.	[ "Estimate", "the", "SHAP", "values", "for", "a", "set", "of", "samples", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/kernel.py#L132-L225	train	Estimate the SHAP values for a set of samples.	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24543), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1475 - 1425) + chr(0b110000) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(9516 - 9405) + chr(50) + '\x33' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(4179 - 4068) + chr(2390 - 2340) + chr(835 - 781) + chr(2078 - 2029), 0b1000), ehT0Px3KOsy9(chr(1828 - 1780) + chr(0b1000000 + 0o57) + chr(0b11001 + 0o31) + chr(0b110011 + 0o3) + '\x31', 8), ehT0Px3KOsy9('\060' + chr(5308 - 5197) + chr(0b1101 + 0o44) + '\065', 45118 - 45110), ehT0Px3KOsy9(chr(1549 - 1501) + '\157' + chr(0b1110 + 0o44) + chr(0b110101) + '\x36', 20492 - 20484), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\065' + chr(0b100100 + 0o14), 2891 - 2883), ehT0Px3KOsy9('\x30' + '\157' + '\x35' + '\x37', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001 + 0o0) + chr(0b10000 + 0o40) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(2388 - 2333) + chr(71 - 19), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10730 - 10619) + chr(0b110101) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(8553 - 8442) + '\065' + chr(2375 - 2322), 0o10), ehT0Px3KOsy9(chr(336 - 288) + '\x6f' + chr(49) + '\066', 45917 - 45909), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x33' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x35', 62646 - 62638), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + '\x32' + '\065', 0o10), ehT0Px3KOsy9(chr(521 - 473) + chr(0b1101111) + '\x32' + '\x37' + chr(1335 - 1285), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\067' + chr(0b1010 + 0o53), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(703 - 652) + chr(803 - 753) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b100010 + 0o24) + chr(2516 - 2464), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5211 - 5100) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11100 + 0o123) + '\x35' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(0b110001) + chr(0b110111) + '\060', 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + '\063' + '\061' + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(0b100000 + 0o117) + chr(1033 - 980) + chr(0b11101 + 0o30), 8), ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + chr(50) + '\063' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1005 - 955) + chr(0b101101 + 0o5) + '\060', 58772 - 58764), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1533 - 1482) + chr(0b110000) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1100010 + 0o15) + chr(830 - 781) + chr(0b101101 + 0o6) + chr(48), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b101000 + 0o13) + chr(55) + chr(1314 - 1262), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1132 - 1081) + '\x36' + chr(51), 27460 - 27452), ehT0Px3KOsy9('\x30' + chr(0b1100010 + 0o15) + chr(53) + chr(0b1100 + 0o46), 36792 - 36784), ehT0Px3KOsy9(chr(1120 - 1072) + chr(0b1101111) + chr(49) + chr(125 - 76) + chr(0b10001 + 0o42), 0b1000), ehT0Px3KOsy9(chr(506 - 458) + '\x6f' + chr(0b110011) + '\063' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(52) + chr(1035 - 983), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(0b10011 + 0o40) + chr(1222 - 1167) + '\067', 19593 - 19585), ehT0Px3KOsy9('\x30' + chr(167 - 56) + '\x34' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + chr(50) + chr(0b1011 + 0o45) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(107 - 59) + chr(0b1101111) + '\x33' + chr(0b110101) + chr(3008 - 2953), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + '\x35' + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x05'), '\x64' + chr(0b1100101) + chr(99) + chr(0b100010 + 0o115) + chr(1664 - 1564) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b1000000 + 0o46) + chr(45) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def B6TQhWekbimD(oVre8I6UXc3b, xEgrFJ0REugl, *M8EIoTs2GJXE): if xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b'N\xed\xf8\xc2\xc6d\xda\x80'), chr(0b1100100) + chr(6008 - 5907) + chr(99) + chr(111) + chr(0b1000 + 0o134) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(102) + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'[\xe2\xf2\xd5\xd0~\x80\x8b@7\x19\x00^kl\xf0\xc9S\x85\x11p@\x1d\xb9\n\xa0'), chr(2442 - 2342) + chr(0b1 + 0o144) + chr(0b1100011) + chr(7397 - 7286) + chr(100) + '\145')(chr(117) + chr(0b111101 + 0o67) + chr(1230 - 1128) + chr(0b101101) + chr(56))): xEgrFJ0REugl = xEgrFJ0REugl.SPnCNu54H1db elif xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b'N\xed\xf8\xc2\xc6d\xda\x80'), chr(100) + chr(101) + chr(0b1010011 + 0o20) + '\157' + chr(5317 - 5217) + '\145')(chr(0b10110 + 0o137) + chr(0b1111 + 0o145) + chr(102) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\xf3\xfd\xdf\xd5l\xdd\xc6L\x0eK\x03hd\xf8\xdfS\x92\x15vH>\xb8L\xf3\xf5\xe5f'), '\x64' + '\x65' + '\143' + chr(0b1101111) + chr(0b111011 + 0o51) + chr(0b101100 + 0o71))('\165' + chr(0b1100111 + 0o15) + chr(6471 - 6369) + '\x2d' + chr(0b1001 + 0o57))): if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'@\xe6\xf9\xc1\xeed\xc0\x8cJ='), chr(6957 - 6857) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(100) + chr(2546 - 2445))(chr(117) + chr(116) + '\146' + '\055' + chr(1689 - 1633))): XAdVZnMQtEUb = xEgrFJ0REugl.index.SPnCNu54H1db UxVryR3RtBjw = xEgrFJ0REugl.index.AIvJRzLdDfgF iDnl4Uy9SMO2 = YyaZ4tpXu4lf(xEgrFJ0REugl.qKlXBtn3PKy4) xEgrFJ0REugl = xEgrFJ0REugl.SPnCNu54H1db _oKidHlk2iSn = M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)) BapRDcNpMs0Q = xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\xed\xe9\xdc\xc1t\x80\x86K$\x0e\\Lw\x7f;'), '\x64' + '\145' + '\x63' + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1100110) + '\055' + chr(0b10010 + 0o46)) if xafqLlk3kkUe(ryOzkpXaokEu.sparse, xafqLlk3kkUe(SXOLrMavuUCe(b'B\xf0\xef\xc1\xd0\x7f\xdd\x8d'), chr(0b11 + 0o141) + '\145' + chr(0b1010111 + 0o14) + chr(0b1010000 + 0o37) + chr(0b1100100) + '\145')(chr(0b1110100 + 0o1) + '\x74' + chr(8610 - 8508) + chr(1911 - 1866) + '\x38'))(xEgrFJ0REugl) and (not xafqLlk3kkUe(ryOzkpXaokEu.sparse, xafqLlk3kkUe(SXOLrMavuUCe(b'B\xf0\xef\xc1\xdcl\xda\x9aF=#BDb'), chr(7567 - 7467) + chr(0b1100101) + chr(0b1100 + 0o127) + '\x6f' + '\144' + '\x65')(chr(0b1110101) + chr(0b1011 + 0o151) + chr(0b111010 + 0o54) + chr(45) + '\x38'))(xEgrFJ0REugl)): xEgrFJ0REugl = xEgrFJ0REugl.tolil() assert xafqLlk3kkUe(_oKidHlk2iSn, xafqLlk3kkUe(SXOLrMavuUCe(b'N\xed\xf8\xc2\xc6d\xda\x80'), chr(9235 - 9135) + chr(101) + chr(99) + chr(0b1101111) + chr(0b0 + 0o144) + '\x65')('\165' + '\x74' + chr(102) + chr(45) + chr(56)))(BapRDcNpMs0Q) or xafqLlk3kkUe(ryOzkpXaokEu.sparse, xafqLlk3kkUe(SXOLrMavuUCe(b'B\xf0\xef\xc1\xdcl\xda\x9aF=#BDb'), chr(100) + chr(101) + chr(5380 - 5281) + chr(0b1 + 0o156) + chr(100) + chr(0b1010011 + 0o22))('\x75' + '\164' + chr(102) + chr(426 - 381) + '\x38'))(xEgrFJ0REugl), xafqLlk3kkUe(SXOLrMavuUCe(b'~\xed\xf7\xdf\xdez\xc0\xc8F+\x0fZL`;`\xb5\xce\x04\xa6\x118\t'), chr(100) + chr(0b1100101) + '\143' + '\x6f' + chr(0b100001 + 0o103) + chr(0b1100101))('\165' + chr(0b1110100) + chr(1150 - 1048) + chr(0b101101) + '\070') + _oKidHlk2iSn assert c2A0yzQpDQB3(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'E\xe2\xe9\xe8\xd7A\xc9\x84{5\x1fL'), '\x64' + chr(610 - 509) + chr(0b1010000 + 0o23) + '\x6f' + chr(1633 - 1533) + chr(101))('\x75' + chr(0b1110100) + chr(0b10 + 0o144) + '\x2d' + '\x38'))) == ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + chr(960 - 911), 35294 - 35286) or c2A0yzQpDQB3(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'E\xe2\xe9\xe8\xd7A\xc9\x84{5\x1fL'), chr(0b1001001 + 0o33) + chr(0b1100101) + chr(4421 - 4322) + '\x6f' + '\144' + chr(0b1100101))(chr(1642 - 1525) + chr(0b1110100) + chr(9226 - 9124) + chr(0b101101) + chr(523 - 467)))) == ehT0Px3KOsy9(chr(2272 - 2224) + chr(0b1011101 + 0o22) + chr(0b110010), 8), xafqLlk3kkUe(SXOLrMavuUCe(b'b\xed\xef\xc5\xd0c\xcd\x8d\x0f(\t]Y.0d\xe3\xdf]\xe7Tm[X\xf8\r\xfa\xf9\xaf=\x92\x80C$\xb6\xd7\xde'), '\x64' + '\145' + '\x63' + chr(9283 - 9172) + chr(0b1100100) + '\x65')('\165' + chr(0b1110100) + chr(2854 - 2752) + chr(45) + chr(0b111000)) if c2A0yzQpDQB3(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'E\xe2\xe9\xe8\xd7A\xc9\x84{5\x1fL'), chr(100) + chr(0b1100000 + 0o5) + chr(99) + chr(7958 - 7847) + chr(0b10101 + 0o117) + chr(0b1 + 0o144))(chr(117) + chr(0b1100001 + 0o23) + chr(102) + chr(0b11011 + 0o22) + chr(0b10 + 0o66)))) == ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(4617 - 4506) + '\x31', 8): ULnjp6D6efFH = xEgrFJ0REugl.reshape((ehT0Px3KOsy9('\x30' + chr(9076 - 8965) + '\061', 8), xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110000), ord("\x08"))])) if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'@\xe6\xf9\xc1\xeed\xc0\x8cJ='), '\144' + chr(0b100010 + 0o103) + chr(0b1000010 + 0o41) + chr(0b1101111) + chr(0b1100100) + chr(522 - 421))(chr(3110 - 2993) + chr(5981 - 5865) + chr(5077 - 4975) + chr(1443 - 1398) + chr(0b111000))): ULnjp6D6efFH = KcqZHbmSE0yY(ULnjp6D6efFH, iDnl4Uy9SMO2, UxVryR3RtBjw, XAdVZnMQtEUb) dn69_4we2OOG = oVre8I6UXc3b.explain(ULnjp6D6efFH, M8EIoTs2GJXE) vGrByMSYMp9h = dn69_4we2OOG.nauYfLglTpcb if c2A0yzQpDQB3(vGrByMSYMp9h) == ehT0Px3KOsy9(chr(538 - 490) + chr(111) + '\062', 8): _VexQtc8sfoI = [WqUC3KWvYVup.zeros(vGrByMSYMp9h[ehT0Px3KOsy9(chr(138 - 90) + chr(550 - 439) + chr(2231 - 2183), 8)]) for tlORBuYsiw3X in vQr8gNKaIaWE(vGrByMSYMp9h[ehT0Px3KOsy9(chr(48) + chr(0b1010010 + 0o35) + chr(49), 8)])] for tlORBuYsiw3X in vQr8gNKaIaWE(vGrByMSYMp9h[ehT0Px3KOsy9(chr(1762 - 1714) + chr(0b111010 + 0o65) + '\x31', 8)]): _VexQtc8sfoI[tlORBuYsiw3X] = dn69_4we2OOG[:, tlORBuYsiw3X] return _VexQtc8sfoI else: UkrMp_I0RDmo = WqUC3KWvYVup.zeros(vGrByMSYMp9h[ehT0Px3KOsy9(chr(48) + '\157' + chr(48), 8)]) UkrMp_I0RDmo[:] = dn69_4we2OOG return UkrMp_I0RDmo elif c2A0yzQpDQB3(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'E\xe2\xe9\xe8\xd7A\xc9\x84{5\x1fL'), chr(0b1100100) + chr(101) + '\143' + chr(111) + chr(100) + chr(101))('\x75' + chr(0b1110100) + chr(4903 - 4801) + chr(1654 - 1609) + '\070'))) == ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(1699 - 1649), 8): Zs9H6Auid9EO = [] for WVxHKyX45z_L in yOfuilPq_CoP(vQr8gNKaIaWE(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'E\xe2\xe9\xe8\xd7A\xc9\x84{5\x1fL'), '\144' + chr(101) + '\143' + chr(111) + chr(0b1100100) + '\x65')('\165' + chr(116) + chr(0b1100110) + chr(0b10 + 0o53) + chr(0b111000)))[ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + '\x30', 8)]), disable=xafqLlk3kkUe(M8EIoTs2GJXE, xafqLlk3kkUe(SXOLrMavuUCe(b'L\xe6\xe8'), '\144' + chr(101) + '\143' + chr(0b1101111) + '\x64' + chr(101))(chr(674 - 557) + chr(116) + chr(1581 - 1479) + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'X\xea\xf0\xd4\xdfy'), chr(6703 - 6603) + '\x65' + '\x63' + chr(5722 - 5611) + chr(0b1100100) + '\x65')(chr(0b1110101) + '\x74' + chr(1360 - 1258) + chr(45) + chr(663 - 607)), ehT0Px3KOsy9('\060' + '\x6f' + chr(48), 8))): ULnjp6D6efFH = xEgrFJ0REugl[WVxHKyX45z_L:WVxHKyX45z_L + ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(6322 - 6211) + chr(0b101100 + 0o5), 8), :] if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'@\xe6\xf9\xc1\xeed\xc0\x8cJ='), chr(6354 - 6254) + '\145' + chr(99) + chr(0b1101111) + chr(100) + chr(101))(chr(0b1010111 + 0o36) + '\x74' + '\146' + chr(1095 - 1050) + chr(0b1010 + 0o56))): ULnjp6D6efFH = KcqZHbmSE0yY(ULnjp6D6efFH, iDnl4Uy9SMO2, XAdVZnMQtEUb[WVxHKyX45z_L:WVxHKyX45z_L + ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(147 - 98), 8)], UxVryR3RtBjw) xafqLlk3kkUe(Zs9H6Auid9EO, xafqLlk3kkUe(SXOLrMavuUCe(b'J\xf3\xec\xd4\xdfi'), chr(0b1100100) + '\x65' + '\143' + '\x6f' + '\x64' + chr(2847 - 2746))('\165' + chr(12170 - 12054) + '\x66' + chr(45) + chr(0b101100 + 0o14)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'N\xfb\xec\xdd\xd0d\xc0'), '\x64' + chr(0b1000100 + 0o41) + chr(0b1000011 + 0o40) + chr(7628 - 7517) + chr(5606 - 5506) + chr(101))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\070'))(ULnjp6D6efFH, M8EIoTs2GJXE)) vGrByMSYMp9h = Zs9H6Auid9EO[ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(0b110000), 8)].nauYfLglTpcb if c2A0yzQpDQB3(vGrByMSYMp9h) == ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(4576 - 4465) + chr(0b1 + 0o61), 8): _VexQtc8sfoI = [WqUC3KWvYVup.zeros((xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(48), 8)], vGrByMSYMp9h[ehT0Px3KOsy9(chr(48) + chr(111) + '\060', 8)])) for tlORBuYsiw3X in vQr8gNKaIaWE(vGrByMSYMp9h[ehT0Px3KOsy9('\060' + '\x6f' + chr(49), 8)])] for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'E\xe2\xe9\xe8\xd7A\xc9\x84{5\x1fL'), '\144' + chr(0b10010 + 0o123) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(9200 - 9099))(chr(0b11 + 0o162) + '\164' + '\x66' + chr(0b11000 + 0o25) + chr(0b101101 + 0o13)))[ehT0Px3KOsy9(chr(161 - 113) + chr(0b1010100 + 0o33) + chr(1700 - 1652), 8)]): for tlORBuYsiw3X in vQr8gNKaIaWE(vGrByMSYMp9h[ehT0Px3KOsy9('\x30' + chr(6785 - 6674) + chr(49), 8)]): _VexQtc8sfoI[tlORBuYsiw3X][WVxHKyX45z_L] = Zs9H6Auid9EO[WVxHKyX45z_L][:, tlORBuYsiw3X] return _VexQtc8sfoI else: UkrMp_I0RDmo = WqUC3KWvYVup.zeros((xEgrFJ0REugl.nauYfLglTpcb[ehT0Px3KOsy9('\x30' + chr(0b101010 + 0o105) + chr(1945 - 1897), 8)], vGrByMSYMp9h[ehT0Px3KOsy9('\060' + chr(111) + chr(48), 8)])) for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'E\xe2\xe9\xe8\xd7A\xc9\x84{5\x1fL'), chr(9225 - 9125) + chr(101) + '\x63' + chr(111) + chr(100) + '\145')(chr(117) + chr(116) + chr(0b101000 + 0o76) + chr(0b101101) + '\070'))[ehT0Px3KOsy9(chr(69 - 21) + chr(111) + chr(1720 - 1672), 8)]): UkrMp_I0RDmo[WVxHKyX45z_L] = Zs9H6Auid9EO[WVxHKyX45z_L] return UkrMp_I0RDmo
slundberg/shap	shap/plots/embedding.py	embedding_plot	def embedding_plot(ind, shap_values, feature_names=None, method="pca", alpha=1.0, show=True): """ Use the SHAP values as an embedding which we project to 2D for visualization. Parameters ---------- ind : int or string If this is an int it is the index of the feature to use to color the embedding. If this is a string it is either the name of the feature, or it can have the form "rank(int)" to specify the feature with that rank (ordered by mean absolute SHAP value over all the samples), or "sum()" to mean the sum of all the SHAP values, which is the model's output (minus it's expected value). shap_values : numpy.array Matrix of SHAP values (# samples x # features). feature_names : None or list The names of the features in the shap_values array. method : "pca" or numpy.array How to reduce the dimensions of the shap_values to 2D. If "pca" then the 2D PCA projection of shap_values is used. If a numpy array then is should be (# samples x 2) and represent the embedding of that values. alpha : float The transparency of the data points (between 0 and 1). This can be useful to the show density of the data points when using a large dataset. """ if feature_names is None: feature_names = [labels['FEATURE'] % str(i) for i in range(shap_values.shape[1])] ind = convert_name(ind, shap_values, feature_names) if ind == "sum()": cvals = shap_values.sum(1) fname = "sum(SHAP values)" else: cvals = shap_values[:,ind] fname = feature_names[ind] # see if we need to compute the embedding if type(method) == str and method == "pca": pca = sklearn.decomposition.PCA(2) embedding_values = pca.fit_transform(shap_values) elif hasattr(method, "shape") and method.shape[1] == 2: embedding_values = method else: print("Unsupported embedding method:", method) pl.scatter( embedding_values[:,0], embedding_values[:,1], c=cvals, cmap=colors.red_blue, alpha=alpha, linewidth=0 ) pl.axis("off") #pl.title(feature_names[ind]) cb = pl.colorbar() cb.set_label("SHAP value for\n"+fname, size=13) cb.outline.set_visible(False) pl.gcf().set_size_inches(7.5, 5) bbox = cb.ax.get_window_extent().transformed(pl.gcf().dpi_scale_trans.inverted()) cb.ax.set_aspect((bbox.height - 0.7) * 10) cb.set_alpha(1) if show: pl.show()	python	def embedding_plot(ind, shap_values, feature_names=None, method="pca", alpha=1.0, show=True): """ Use the SHAP values as an embedding which we project to 2D for visualization. Parameters ---------- ind : int or string If this is an int it is the index of the feature to use to color the embedding. If this is a string it is either the name of the feature, or it can have the form "rank(int)" to specify the feature with that rank (ordered by mean absolute SHAP value over all the samples), or "sum()" to mean the sum of all the SHAP values, which is the model's output (minus it's expected value). shap_values : numpy.array Matrix of SHAP values (# samples x # features). feature_names : None or list The names of the features in the shap_values array. method : "pca" or numpy.array How to reduce the dimensions of the shap_values to 2D. If "pca" then the 2D PCA projection of shap_values is used. If a numpy array then is should be (# samples x 2) and represent the embedding of that values. alpha : float The transparency of the data points (between 0 and 1). This can be useful to the show density of the data points when using a large dataset. """ if feature_names is None: feature_names = [labels['FEATURE'] % str(i) for i in range(shap_values.shape[1])] ind = convert_name(ind, shap_values, feature_names) if ind == "sum()": cvals = shap_values.sum(1) fname = "sum(SHAP values)" else: cvals = shap_values[:,ind] fname = feature_names[ind] # see if we need to compute the embedding if type(method) == str and method == "pca": pca = sklearn.decomposition.PCA(2) embedding_values = pca.fit_transform(shap_values) elif hasattr(method, "shape") and method.shape[1] == 2: embedding_values = method else: print("Unsupported embedding method:", method) pl.scatter( embedding_values[:,0], embedding_values[:,1], c=cvals, cmap=colors.red_blue, alpha=alpha, linewidth=0 ) pl.axis("off") #pl.title(feature_names[ind]) cb = pl.colorbar() cb.set_label("SHAP value for\n"+fname, size=13) cb.outline.set_visible(False) pl.gcf().set_size_inches(7.5, 5) bbox = cb.ax.get_window_extent().transformed(pl.gcf().dpi_scale_trans.inverted()) cb.ax.set_aspect((bbox.height - 0.7) * 10) cb.set_alpha(1) if show: pl.show()	[ "def", "embedding_plot", "(", "ind", ",", "shap_values", ",", "feature_names", "=", "None", ",", "method", "=", "\"pca\"", ",", "alpha", "=", "1.0", ",", "show", "=", "True", ")", ":", "if", "feature_names", "is", "None", ":", "feature_names", "=", "[", "labels", "[", "'FEATURE'", "]", "%", "str", "(", "i", ")", "for", "i", "in", "range", "(", "shap_values", ".", "shape", "[", "1", "]", ")", "]", "ind", "=", "convert_name", "(", "ind", ",", "shap_values", ",", "feature_names", ")", "if", "ind", "==", "\"sum()\"", ":", "cvals", "=", "shap_values", ".", "sum", "(", "1", ")", "fname", "=", "\"sum(SHAP values)\"", "else", ":", "cvals", "=", "shap_values", "[", ":", ",", "ind", "]", "fname", "=", "feature_names", "[", "ind", "]", "# see if we need to compute the embedding", "if", "type", "(", "method", ")", "==", "str", "and", "method", "==", "\"pca\"", ":", "pca", "=", "sklearn", ".", "decomposition", ".", "PCA", "(", "2", ")", "embedding_values", "=", "pca", ".", "fit_transform", "(", "shap_values", ")", "elif", "hasattr", "(", "method", ",", "\"shape\"", ")", "and", "method", ".", "shape", "[", "1", "]", "==", "2", ":", "embedding_values", "=", "method", "else", ":", "print", "(", "\"Unsupported embedding method:\"", ",", "method", ")", "pl", ".", "scatter", "(", "embedding_values", "[", ":", ",", "0", "]", ",", "embedding_values", "[", ":", ",", "1", "]", ",", "c", "=", "cvals", ",", "cmap", "=", "colors", ".", "red_blue", ",", "alpha", "=", "alpha", ",", "linewidth", "=", "0", ")", "pl", ".", "axis", "(", "\"off\"", ")", "#pl.title(feature_names[ind])", "cb", "=", "pl", ".", "colorbar", "(", ")", "cb", ".", "set_label", "(", "\"SHAP value for\\n\"", "+", "fname", ",", "size", "=", "13", ")", "cb", ".", "outline", ".", "set_visible", "(", "False", ")", "pl", ".", "gcf", "(", ")", ".", "set_size_inches", "(", "7.5", ",", "5", ")", "bbox", "=", "cb", ".", "ax", ".", "get_window_extent", "(", ")", ".", "transformed", "(", "pl", ".", "gcf", "(", ")", ".", "dpi_scale_trans", ".", "inverted", "(", ")", ")", "cb", ".", "ax", ".", "set_aspect", "(", "(", "bbox", ".", "height", "-", "0.7", ")", "*", "10", ")", "cb", ".", "set_alpha", "(", "1", ")", "if", "show", ":", "pl", ".", "show", "(", ")" ]	Use the SHAP values as an embedding which we project to 2D for visualization. Parameters ---------- ind : int or string If this is an int it is the index of the feature to use to color the embedding. If this is a string it is either the name of the feature, or it can have the form "rank(int)" to specify the feature with that rank (ordered by mean absolute SHAP value over all the samples), or "sum()" to mean the sum of all the SHAP values, which is the model's output (minus it's expected value). shap_values : numpy.array Matrix of SHAP values (# samples x # features). feature_names : None or list The names of the features in the shap_values array. method : "pca" or numpy.array How to reduce the dimensions of the shap_values to 2D. If "pca" then the 2D PCA projection of shap_values is used. If a numpy array then is should be (# samples x 2) and represent the embedding of that values. alpha : float The transparency of the data points (between 0 and 1). This can be useful to the show density of the data points when using a large dataset.	[ "Use", "the", "SHAP", "values", "as", "an", "embedding", "which", "we", "project", "to", "2D", "for", "visualization", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/plots/embedding.py#L14-L78	train	Plot the embedding of a single feature in a 2D dataset.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\x36' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110000 + 0o77) + '\x31' + chr(55) + chr(0b110010), 52864 - 52856), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x34' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(0b110010) + chr(2068 - 2014), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8725 - 8614) + chr(0b1011 + 0o50) + chr(1279 - 1229) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1586 - 1535) + '\x37' + chr(0b110000 + 0o3), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1001 + 0o52) + chr(0b110111 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(1974 - 1926) + chr(111) + chr(0b10000 + 0o41) + '\066' + chr(1779 - 1729), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\x30' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110100) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100111 + 0o14) + chr(0b110100) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(2175 - 2120) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2237 - 2186) + '\x33' + chr(957 - 906), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b110000) + chr(0b11101 + 0o30), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + '\x33' + '\062' + chr(0b110000), 31280 - 31272), ehT0Px3KOsy9(chr(192 - 144) + chr(6556 - 6445) + '\061' + chr(0b110110) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(0b10101 + 0o34) + chr(1423 - 1374) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b100011 + 0o20) + chr(1796 - 1741) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110011) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100 + 0o56) + '\x35' + '\x30', 15539 - 15531), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + '\x33' + '\x34' + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b110100) + chr(0b110111), 8), ehT0Px3KOsy9(chr(684 - 636) + chr(0b1101111) + chr(48), 38580 - 38572), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1011000 + 0o27) + chr(0b10000 + 0o43) + chr(0b110111) + '\x37', 0o10), ehT0Px3KOsy9(chr(1255 - 1207) + '\157' + '\061' + chr(2305 - 2252) + chr(0b11110 + 0o30), 23404 - 23396), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + '\x37' + '\067', 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + '\061' + '\067' + chr(395 - 341), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1725 - 1674) + chr(0b110000 + 0o7) + '\x33', 8), ehT0Px3KOsy9(chr(1135 - 1087) + chr(0b111 + 0o150) + chr(50) + chr(693 - 638) + chr(55), 11283 - 11275), ehT0Px3KOsy9(chr(0b110000) + chr(8724 - 8613) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(6385 - 6274) + chr(1110 - 1060) + chr(54) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110101 + 0o72) + chr(0b110100) + chr(0b101101 + 0o12), 62808 - 62800), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110 + 0o55) + chr(0b100011 + 0o22) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(1666 - 1555) + chr(0b101101 + 0o6) + '\x32' + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101011 + 0o7) + '\x32' + '\067', 2540 - 2532), ehT0Px3KOsy9(chr(246 - 198) + '\157' + '\064' + chr(1078 - 1025), 8), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(6654 - 6543) + chr(50) + chr(0b101010 + 0o12) + '\063', 60615 - 60607), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b101 + 0o60) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b101111 + 0o100) + chr(1811 - 1760) + '\x33' + chr(1634 - 1586), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100111 + 0o10) + '\x32' + chr(0b110001) + '\x36', 27682 - 27674)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(176 - 123) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x99'), chr(0b1000011 + 0o41) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(5103 - 5003) + chr(5141 - 5040))(chr(4550 - 4433) + chr(5067 - 4951) + '\146' + chr(45) + chr(0b101011 + 0o15)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def FeJvQVnX_Mo2(r3s_x88rHjuC, B6TQhWekbimD, pfS5O3iUpFhz=None, CVRCXTcnOnH6=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\x19@'), chr(0b111000 + 0o54) + chr(0b1100101) + chr(0b1100011) + chr(5164 - 5053) + chr(9256 - 9156) + '\145')(chr(0b1110101) + chr(116) + chr(0b1100001 + 0o5) + chr(0b11100 + 0o21) + chr(2667 - 2611)), gDUX9w35YHFE=1.0, DCpH_3Y2dTvl=ehT0Px3KOsy9(chr(48) + '\157' + '\061', 62984 - 62976)): if pfS5O3iUpFhz is None: pfS5O3iUpFhz = [uXMK81tmdpTM[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1?`\xc2\x83\xa9Z'), '\144' + chr(0b10000 + 0o125) + chr(99) + chr(0b1101111) + '\144' + chr(9829 - 9728))(chr(0b1110101) + chr(116) + '\x66' + chr(45) + '\070')] % M8_cKLkHVB2V(WVxHKyX45z_L) for WVxHKyX45z_L in vQr8gNKaIaWE(B6TQhWekbimD.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b10010 + 0o135) + chr(404 - 355), 8)])] r3s_x88rHjuC = GPIqsAOqPYuQ(r3s_x88rHjuC, B6TQhWekbimD, pfS5O3iUpFhz) if r3s_x88rHjuC == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x0fL\xbe\xff'), chr(3131 - 3031) + '\x65' + chr(6993 - 6894) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\146' + chr(0b101101) + chr(2152 - 2096)): yBHXte6NBuav = B6TQhWekbimD.xkxBmo49x2An(ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49), 8)) t3WbF0Ae42Pu = xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x0fL\xbe\x85\xb3^"\xa7S\x86\x12\xae \xa3Z'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1010000 + 0o37) + chr(6230 - 6130) + chr(101))(chr(117) + chr(0b1110100) + chr(7473 - 7371) + chr(45) + chr(0b111000)) else: yBHXte6NBuav = B6TQhWekbimD[:, r3s_x88rHjuC] t3WbF0Ae42Pu = pfS5O3iUpFhz[r3s_x88rHjuC] if PlSM16l2KDPD(CVRCXTcnOnH6, M8_cKLkHVB2V) and CVRCXTcnOnH6 == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\x19@'), '\144' + '\x65' + chr(4575 - 4476) + '\157' + '\144' + chr(7607 - 7506))(chr(117) + chr(0b1011001 + 0o33) + chr(0b100001 + 0o105) + chr(1955 - 1910) + '\x38'): dGYq7Pu9ttHm = U_a7OzgTlwvr.decomposition.PCA(ehT0Px3KOsy9(chr(48) + chr(111) + chr(1147 - 1097), 0b1000)) xMgA7pXUBUmG = dGYq7Pu9ttHm.fit_transform(B6TQhWekbimD) elif lot1PSoAwYhj(CVRCXTcnOnH6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x12@\xe6\xb3'), chr(0b1100100) + chr(101) + chr(99) + '\157' + '\x64' + '\x65')('\x75' + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b101011 + 0o15))) and xafqLlk3kkUe(CVRCXTcnOnH6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9\x1bT\xcf\xb0\xb7x\x1e\xd3U\x84\x1c'), chr(100) + chr(0b11110 + 0o107) + chr(0b0 + 0o143) + '\157' + chr(0b110111 + 0o55) + chr(101))(chr(0b1110101) + chr(0b101100 + 0o110) + chr(102) + chr(45) + chr(56)))[ehT0Px3KOsy9('\x30' + chr(12030 - 11919) + chr(2162 - 2113), 8)] == ehT0Px3KOsy9('\x30' + '\x6f' + chr(50), 8): xMgA7pXUBUmG = CVRCXTcnOnH6 else: zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\x14R\xe3\xa6\x8bp\x00\xf3@\x83^\xbe(\xb2\x16-\x98\xf1\xc6\x86\xc7m\x9a\x1a\x17\x11\x9f\x85'), '\144' + chr(3681 - 3580) + chr(2473 - 2374) + chr(804 - 693) + chr(4524 - 4424) + '\145')(chr(0b110100 + 0o101) + '\x74' + '\146' + chr(45) + chr(0b111000)), CVRCXTcnOnH6) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x19@\xe2\xa2\x9em'), chr(100) + chr(101) + chr(0b1000001 + 0o42) + '\x6f' + '\144' + chr(0b1100101))('\x75' + chr(0b1110100) + '\146' + chr(45) + '\x38'))(xMgA7pXUBUmG[:, ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(48), 8)], xMgA7pXUBUmG[:, ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(699 - 650), 8)], c=yBHXte6NBuav, cmap=xafqLlk3kkUe(bVKMf_d5jJzc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\x1fE\xc9\xb4\x97j\x17'), chr(4730 - 4630) + chr(0b1100101) + chr(0b1100011) + chr(0b11001 + 0o126) + '\x64' + chr(8663 - 8562))('\165' + chr(116) + '\x66' + chr(0b101101) + '\x38')), alpha=gDUX9w35YHFE, linewidth=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100 + 0o54), 8)) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4(u\xfe\xe0\xcan\x0b\xf1L\xd5J'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011 + 0o0) + '\157' + chr(8677 - 8577) + chr(1645 - 1544))('\165' + '\x74' + chr(0b1100110) + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\x1cG'), chr(100) + chr(9037 - 8936) + chr(0b1100011) + chr(0b1101111) + chr(3546 - 3446) + chr(0b1 + 0o144))(chr(3797 - 3680) + chr(0b1110100) + '\146' + '\055' + chr(0b111000))) hfOA2bIyYn7s = _Io90I7sfc_c.colorbar() xafqLlk3kkUe(hfOA2bIyYn7s, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x1fU\xc9\xba\x9a}\x17\xeb'), chr(357 - 257) + chr(0b1010110 + 0o17) + '\143' + chr(9230 - 9119) + chr(0b11111 + 0o105) + chr(0b1100101))('\165' + chr(0b1101110 + 0o6) + chr(0b100 + 0o142) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe42`\xc6\xf6\x8d~\x1e\xf2@\xc7\x18\xb47\xda'), chr(6805 - 6705) + '\x65' + chr(99) + '\157' + chr(0b1010011 + 0o21) + '\x65')('\x75' + '\164' + '\146' + chr(0b100010 + 0o13) + chr(0b111000)) + t3WbF0Ae42Pu, size=ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(0b1110 + 0o43) + '\065', 0b1000)) xafqLlk3kkUe(hfOA2bIyYn7s.outline, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x1fU\xc9\xa0\x92l\x1b\xe5I\x82'), chr(100) + chr(101) + chr(99) + chr(0b11 + 0o154) + chr(4949 - 4849) + chr(0b1100101))('\x75' + chr(116) + '\146' + chr(0b101101) + '\070'))(ehT0Px3KOsy9(chr(0b110000) + chr(0b1011010 + 0o25) + chr(0b1111 + 0o41), 8)) xafqLlk3kkUe(_Io90I7sfc_c.gcf(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x1fU\xc9\xa5\x92e\x17\xd8L\x89\x1d\xb3 \xa3'), '\144' + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1100100) + '\145')(chr(0b111011 + 0o72) + '\164' + chr(102) + chr(1070 - 1025) + chr(298 - 242)))(7.5, ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101), 8)) HdQfPnA6nf66 = hfOA2bIyYn7s.ax.get_window_extent().aMh8mto44T2o(_Io90I7sfc_c.gcf().dpi_scale_trans.inverted()) xafqLlk3kkUe(hfOA2bIyYn7s.ax, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x1fU\xc9\xb7\x88o\x17\xe4Q'), chr(100) + chr(101) + chr(0b1100011) + chr(111) + chr(4827 - 4727) + '\145')(chr(117) + chr(116) + '\x66' + chr(0b101101) + '\070'))((xafqLlk3kkUe(HdQfPnA6nf66, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2\x12C\xc3\x83\xb7T\x07\xfeB\x81='), chr(100) + '\145' + chr(8867 - 8768) + chr(111) + '\144' + chr(0b1100101))(chr(7920 - 7803) + '\x74' + chr(0b100010 + 0o104) + '\055' + chr(0b111000))) - 0.7) * ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001 + 0o0) + chr(1928 - 1878), ord("\x08"))) xafqLlk3kkUe(hfOA2bIyYn7s, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x1fU\xc9\xb7\x97o\x1a\xe6'), chr(0b1010001 + 0o23) + chr(0b1100101) + '\x63' + chr(111) + '\x64' + '\x65')('\x75' + chr(4002 - 3886) + chr(0b1100110) + chr(45) + '\070'))(ehT0Px3KOsy9(chr(925 - 877) + '\157' + chr(1995 - 1946), 8)) if DCpH_3Y2dTvl: xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x12N\xe1'), chr(0b10111 + 0o115) + chr(0b1100101) + chr(0b101001 + 0o72) + chr(4710 - 4599) + chr(100) + '\145')('\165' + chr(0b1110100) + '\146' + '\055' + '\x38'))()
slundberg/shap	shap/plots/dependence.py	dependence_plot	def dependence_plot(ind, shap_values, features, feature_names=None, display_features=None, interaction_index="auto", color="#1E88E5", axis_color="#333333", cmap=colors.red_blue, dot_size=16, x_jitter=0, alpha=1, title=None, xmin=None, xmax=None, show=True): """ Create a SHAP dependence plot, colored by an interaction feature. Plots the value of the feature on the x-axis and the SHAP value of the same feature on the y-axis. This shows how the model depends on the given feature, and is like a richer extenstion of the classical parital dependence plots. Vertical dispersion of the data points represents interaction effects. Grey ticks along the y-axis are data points where the feature's value was NaN. Parameters ---------- ind : int or string If this is an int it is the index of the feature to plot. If this is a string it is either the name of the feature to plot, or it can have the form "rank(int)" to specify the feature with that rank (ordered by mean absolute SHAP value over all the samples). shap_values : numpy.array Matrix of SHAP values (# samples x # features). features : numpy.array or pandas.DataFrame Matrix of feature values (# samples x # features). feature_names : list Names of the features (length # features). display_features : numpy.array or pandas.DataFrame Matrix of feature values for visual display (such as strings instead of coded values). interaction_index : "auto", None, int, or string The index of the feature used to color the plot. The name of a feature can also be passed as a string. If "auto" then shap.common.approximate_interactions is used to pick what seems to be the strongest interaction (note that to find to true stongest interaction you need to compute the SHAP interaction values). x_jitter : float (0 - 1) Adds random jitter to feature values. May increase plot readability when feature is discrete. alpha : float The transparency of the data points (between 0 and 1). This can be useful to the show density of the data points when using a large dataset. xmin : float or string Represents the lower bound of the plot's x-axis. It can be a string of the format "percentile(float)" to denote that percentile of the feature's value used on the x-axis. xmax : float or string Represents the upper bound of the plot's x-axis. It can be a string of the format "percentile(float)" to denote that percentile of the feature's value used on the x-axis. """ # convert from DataFrames if we got any if str(type(features)).endswith("'pandas.core.frame.DataFrame'>"): if feature_names is None: feature_names = features.columns features = features.values if str(type(display_features)).endswith("'pandas.core.frame.DataFrame'>"): if feature_names is None: feature_names = display_features.columns display_features = display_features.values elif display_features is None: display_features = features if feature_names is None: feature_names = [labels['FEATURE'] % str(i) for i in range(shap_values.shape[1])] # allow vectors to be passed if len(shap_values.shape) == 1: shap_values = np.reshape(shap_values, len(shap_values), 1) if len(features.shape) == 1: features = np.reshape(features, len(features), 1) ind = convert_name(ind, shap_values, feature_names) # plotting SHAP interaction values if len(shap_values.shape) == 3 and len(ind) == 2: ind1 = convert_name(ind[0], shap_values, feature_names) ind2 = convert_name(ind[1], shap_values, feature_names) if ind1 == ind2: proj_shap_values = shap_values[:, ind2, :] else: proj_shap_values = shap_values[:, ind2, :] * 2 # off-diag values are split in half # TODO: remove recursion; generally the functions should be shorter for more maintainable code dependence_plot( ind1, proj_shap_values, features, feature_names=feature_names, interaction_index=ind2, display_features=display_features, show=False, xmin=xmin, xmax=xmax ) if ind1 == ind2: pl.ylabel(labels['MAIN_EFFECT'] % feature_names[ind1]) else: pl.ylabel(labels['INTERACTION_EFFECT'] % (feature_names[ind1], feature_names[ind2])) if show: pl.show() return assert shap_values.shape[0] == features.shape[0], \ "'shap_values' and 'features' values must have the same number of rows!" assert shap_values.shape[1] == features.shape[1], \ "'shap_values' must have the same number of columns as 'features'!" # get both the raw and display feature values oinds = np.arange(shap_values.shape[0]) # we randomize the ordering so plotting overlaps are not related to data ordering np.random.shuffle(oinds) xv = features[oinds, ind].astype(np.float64) xd = display_features[oinds, ind] s = shap_values[oinds, ind] if type(xd[0]) == str: name_map = {} for i in range(len(xv)): name_map[xd[i]] = xv[i] xnames = list(name_map.keys()) # allow a single feature name to be passed alone if type(feature_names) == str: feature_names = [feature_names] name = feature_names[ind] # guess what other feature as the stongest interaction with the plotted feature if interaction_index == "auto": interaction_index = approximate_interactions(ind, shap_values, features)[0] interaction_index = convert_name(interaction_index, shap_values, feature_names) categorical_interaction = False # get both the raw and display color values color_norm = None if interaction_index is not None: cv = features[:, interaction_index] cd = display_features[:, interaction_index] clow = np.nanpercentile(cv.astype(np.float), 5) chigh = np.nanpercentile(cv.astype(np.float), 95) if type(cd[0]) == str: cname_map = {} for i in range(len(cv)): cname_map[cd[i]] = cv[i] cnames = list(cname_map.keys()) categorical_interaction = True elif clow % 1 == 0 and chigh % 1 == 0 and chigh - clow < 10: categorical_interaction = True # discritize colors for categorical features if categorical_interaction and clow != chigh: clow = np.nanmin(cv.astype(np.float)) chigh = np.nanmax(cv.astype(np.float)) bounds = np.linspace(clow, chigh, int(chigh - clow + 2)) color_norm = matplotlib.colors.BoundaryNorm(bounds, cmap.N-1) # optionally add jitter to feature values if x_jitter > 0: if x_jitter > 1: x_jitter = 1 xvals = xv.copy() if isinstance(xvals[0], float): xvals = xvals.astype(np.float) xvals = xvals[~np.isnan(xvals)] xvals = np.unique(xvals) if len(xvals) >= 2: smallest_diff = np.min(np.diff(np.sort(xvals))) jitter_amount = x_jitter * smallest_diff xv += (np.random.ranf(size = len(xv))jitter_amount) - (jitter_amount/2) # the actual scatter plot, TODO: adapt the dot_size to the number of data points? xv_nan = np.isnan(xv) xv_notnan = np.invert(xv_nan) if interaction_index is not None: # plot the nan values in the interaction feature as grey cvals = features[oinds, interaction_index].astype(np.float64) cvals_imp = cvals.copy() cvals_imp[np.isnan(cvals)] = (clow + chigh) / 2.0 cvals[cvals_imp > chigh] = chigh cvals[cvals_imp < clow] = clow p = pl.scatter( xv[xv_notnan], s[xv_notnan], s=dot_size, linewidth=0, c=cvals[xv_notnan], cmap=cmap, alpha=alpha, vmin=clow, vmax=chigh, norm=color_norm, rasterized=len(xv) > 500 ) p.set_array(cvals[xv_notnan]) else: pl.scatter(xv, s, s=dot_size, linewidth=0, color=color, alpha=alpha, rasterized=len(xv) > 500) if interaction_index != ind and interaction_index is not None: # draw the color bar if type(cd[0]) == str: tick_positions = [cname_map[n] for n in cnames] if len(tick_positions) == 2: tick_positions[0] -= 0.25 tick_positions[1] += 0.25 cb = pl.colorbar(ticks=tick_positions) cb.set_ticklabels(cnames) else: cb = pl.colorbar() cb.set_label(feature_names[interaction_index], size=13) cb.ax.tick_params(labelsize=11) if categorical_interaction: cb.ax.tick_params(length=0) cb.set_alpha(1) cb.outline.set_visible(False) bbox = cb.ax.get_window_extent().transformed(pl.gcf().dpi_scale_trans.inverted()) cb.ax.set_aspect((bbox.height - 0.7) 20) # handles any setting of xmax and xmin # note that we handle None,float, or "percentile(float)" formats if xmin is not None or xmax is not None: if type(xmin) == str and xmin.startswith("percentile"): xmin = np.nanpercentile(xv, float(xmin[11:-1])) if type(xmax) == str and xmax.startswith("percentile"): xmax = np.nanpercentile(xv, float(xmax[11:-1])) if xmin is None or xmin == np.nanmin(xv): xmin = np.nanmin(xv) - (xmax - np.nanmin(xv))/20 if xmax is None or xmax == np.nanmax(xv): xmax = np.nanmax(xv) + (np.nanmax(xv) - xmin)/20 pl.xlim(xmin, xmax) # plot any nan feature values as tick marks along the y-axis xlim = pl.xlim() if interaction_index is not None: p = pl.scatter( xlim[0] * np.ones(xv_nan.sum()), s[xv_nan], marker=1, linewidth=2, c=cvals_imp[xv_nan], cmap=cmap, alpha=alpha, vmin=clow, vmax=chigh ) p.set_array(cvals[xv_nan]) else: pl.scatter( xlim[0] * np.ones(xv_nan.sum()), s[xv_nan], marker=1, linewidth=2, color=color, alpha=alpha ) pl.xlim(*xlim) # make the plot more readable if interaction_index != ind: pl.gcf().set_size_inches(7.5, 5) else: pl.gcf().set_size_inches(6, 5) pl.xlabel(name, color=axis_color, fontsize=13) pl.ylabel(labels['VALUE_FOR'] % name, color=axis_color, fontsize=13) if title is not None: pl.title(title, color=axis_color, fontsize=13) pl.gca().xaxis.set_ticks_position('bottom') pl.gca().yaxis.set_ticks_position('left') pl.gca().spines['right'].set_visible(False) pl.gca().spines['top'].set_visible(False) pl.gca().tick_params(color=axis_color, labelcolor=axis_color, labelsize=11) for spine in pl.gca().spines.values(): spine.set_edgecolor(axis_color) if type(xd[0]) == str: pl.xticks([name_map[n] for n in xnames], xnames, rotation='vertical', fontsize=11) if show: with warnings.catch_warnings(): # ignore expected matplotlib warnings warnings.simplefilter("ignore", RuntimeWarning) pl.show()	python	def dependence_plot(ind, shap_values, features, feature_names=None, display_features=None, interaction_index="auto", color="#1E88E5", axis_color="#333333", cmap=colors.red_blue, dot_size=16, x_jitter=0, alpha=1, title=None, xmin=None, xmax=None, show=True): """ Create a SHAP dependence plot, colored by an interaction feature. Plots the value of the feature on the x-axis and the SHAP value of the same feature on the y-axis. This shows how the model depends on the given feature, and is like a richer extenstion of the classical parital dependence plots. Vertical dispersion of the data points represents interaction effects. Grey ticks along the y-axis are data points where the feature's value was NaN. Parameters ---------- ind : int or string If this is an int it is the index of the feature to plot. If this is a string it is either the name of the feature to plot, or it can have the form "rank(int)" to specify the feature with that rank (ordered by mean absolute SHAP value over all the samples). shap_values : numpy.array Matrix of SHAP values (# samples x # features). features : numpy.array or pandas.DataFrame Matrix of feature values (# samples x # features). feature_names : list Names of the features (length # features). display_features : numpy.array or pandas.DataFrame Matrix of feature values for visual display (such as strings instead of coded values). interaction_index : "auto", None, int, or string The index of the feature used to color the plot. The name of a feature can also be passed as a string. If "auto" then shap.common.approximate_interactions is used to pick what seems to be the strongest interaction (note that to find to true stongest interaction you need to compute the SHAP interaction values). x_jitter : float (0 - 1) Adds random jitter to feature values. May increase plot readability when feature is discrete. alpha : float The transparency of the data points (between 0 and 1). This can be useful to the show density of the data points when using a large dataset. xmin : float or string Represents the lower bound of the plot's x-axis. It can be a string of the format "percentile(float)" to denote that percentile of the feature's value used on the x-axis. xmax : float or string Represents the upper bound of the plot's x-axis. It can be a string of the format "percentile(float)" to denote that percentile of the feature's value used on the x-axis. """ # convert from DataFrames if we got any if str(type(features)).endswith("'pandas.core.frame.DataFrame'>"): if feature_names is None: feature_names = features.columns features = features.values if str(type(display_features)).endswith("'pandas.core.frame.DataFrame'>"): if feature_names is None: feature_names = display_features.columns display_features = display_features.values elif display_features is None: display_features = features if feature_names is None: feature_names = [labels['FEATURE'] % str(i) for i in range(shap_values.shape[1])] # allow vectors to be passed if len(shap_values.shape) == 1: shap_values = np.reshape(shap_values, len(shap_values), 1) if len(features.shape) == 1: features = np.reshape(features, len(features), 1) ind = convert_name(ind, shap_values, feature_names) # plotting SHAP interaction values if len(shap_values.shape) == 3 and len(ind) == 2: ind1 = convert_name(ind[0], shap_values, feature_names) ind2 = convert_name(ind[1], shap_values, feature_names) if ind1 == ind2: proj_shap_values = shap_values[:, ind2, :] else: proj_shap_values = shap_values[:, ind2, :] * 2 # off-diag values are split in half # TODO: remove recursion; generally the functions should be shorter for more maintainable code dependence_plot( ind1, proj_shap_values, features, feature_names=feature_names, interaction_index=ind2, display_features=display_features, show=False, xmin=xmin, xmax=xmax ) if ind1 == ind2: pl.ylabel(labels['MAIN_EFFECT'] % feature_names[ind1]) else: pl.ylabel(labels['INTERACTION_EFFECT'] % (feature_names[ind1], feature_names[ind2])) if show: pl.show() return assert shap_values.shape[0] == features.shape[0], \ "'shap_values' and 'features' values must have the same number of rows!" assert shap_values.shape[1] == features.shape[1], \ "'shap_values' must have the same number of columns as 'features'!" # get both the raw and display feature values oinds = np.arange(shap_values.shape[0]) # we randomize the ordering so plotting overlaps are not related to data ordering np.random.shuffle(oinds) xv = features[oinds, ind].astype(np.float64) xd = display_features[oinds, ind] s = shap_values[oinds, ind] if type(xd[0]) == str: name_map = {} for i in range(len(xv)): name_map[xd[i]] = xv[i] xnames = list(name_map.keys()) # allow a single feature name to be passed alone if type(feature_names) == str: feature_names = [feature_names] name = feature_names[ind] # guess what other feature as the stongest interaction with the plotted feature if interaction_index == "auto": interaction_index = approximate_interactions(ind, shap_values, features)[0] interaction_index = convert_name(interaction_index, shap_values, feature_names) categorical_interaction = False # get both the raw and display color values color_norm = None if interaction_index is not None: cv = features[:, interaction_index] cd = display_features[:, interaction_index] clow = np.nanpercentile(cv.astype(np.float), 5) chigh = np.nanpercentile(cv.astype(np.float), 95) if type(cd[0]) == str: cname_map = {} for i in range(len(cv)): cname_map[cd[i]] = cv[i] cnames = list(cname_map.keys()) categorical_interaction = True elif clow % 1 == 0 and chigh % 1 == 0 and chigh - clow < 10: categorical_interaction = True # discritize colors for categorical features if categorical_interaction and clow != chigh: clow = np.nanmin(cv.astype(np.float)) chigh = np.nanmax(cv.astype(np.float)) bounds = np.linspace(clow, chigh, int(chigh - clow + 2)) color_norm = matplotlib.colors.BoundaryNorm(bounds, cmap.N-1) # optionally add jitter to feature values if x_jitter > 0: if x_jitter > 1: x_jitter = 1 xvals = xv.copy() if isinstance(xvals[0], float): xvals = xvals.astype(np.float) xvals = xvals[~np.isnan(xvals)] xvals = np.unique(xvals) if len(xvals) >= 2: smallest_diff = np.min(np.diff(np.sort(xvals))) jitter_amount = x_jitter * smallest_diff xv += (np.random.ranf(size = len(xv))jitter_amount) - (jitter_amount/2) # the actual scatter plot, TODO: adapt the dot_size to the number of data points? xv_nan = np.isnan(xv) xv_notnan = np.invert(xv_nan) if interaction_index is not None: # plot the nan values in the interaction feature as grey cvals = features[oinds, interaction_index].astype(np.float64) cvals_imp = cvals.copy() cvals_imp[np.isnan(cvals)] = (clow + chigh) / 2.0 cvals[cvals_imp > chigh] = chigh cvals[cvals_imp < clow] = clow p = pl.scatter( xv[xv_notnan], s[xv_notnan], s=dot_size, linewidth=0, c=cvals[xv_notnan], cmap=cmap, alpha=alpha, vmin=clow, vmax=chigh, norm=color_norm, rasterized=len(xv) > 500 ) p.set_array(cvals[xv_notnan]) else: pl.scatter(xv, s, s=dot_size, linewidth=0, color=color, alpha=alpha, rasterized=len(xv) > 500) if interaction_index != ind and interaction_index is not None: # draw the color bar if type(cd[0]) == str: tick_positions = [cname_map[n] for n in cnames] if len(tick_positions) == 2: tick_positions[0] -= 0.25 tick_positions[1] += 0.25 cb = pl.colorbar(ticks=tick_positions) cb.set_ticklabels(cnames) else: cb = pl.colorbar() cb.set_label(feature_names[interaction_index], size=13) cb.ax.tick_params(labelsize=11) if categorical_interaction: cb.ax.tick_params(length=0) cb.set_alpha(1) cb.outline.set_visible(False) bbox = cb.ax.get_window_extent().transformed(pl.gcf().dpi_scale_trans.inverted()) cb.ax.set_aspect((bbox.height - 0.7) 20) # handles any setting of xmax and xmin # note that we handle None,float, or "percentile(float)" formats if xmin is not None or xmax is not None: if type(xmin) == str and xmin.startswith("percentile"): xmin = np.nanpercentile(xv, float(xmin[11:-1])) if type(xmax) == str and xmax.startswith("percentile"): xmax = np.nanpercentile(xv, float(xmax[11:-1])) if xmin is None or xmin == np.nanmin(xv): xmin = np.nanmin(xv) - (xmax - np.nanmin(xv))/20 if xmax is None or xmax == np.nanmax(xv): xmax = np.nanmax(xv) + (np.nanmax(xv) - xmin)/20 pl.xlim(xmin, xmax) # plot any nan feature values as tick marks along the y-axis xlim = pl.xlim() if interaction_index is not None: p = pl.scatter( xlim[0] * np.ones(xv_nan.sum()), s[xv_nan], marker=1, linewidth=2, c=cvals_imp[xv_nan], cmap=cmap, alpha=alpha, vmin=clow, vmax=chigh ) p.set_array(cvals[xv_nan]) else: pl.scatter( xlim[0] * np.ones(xv_nan.sum()), s[xv_nan], marker=1, linewidth=2, color=color, alpha=alpha ) pl.xlim(*xlim) # make the plot more readable if interaction_index != ind: pl.gcf().set_size_inches(7.5, 5) else: pl.gcf().set_size_inches(6, 5) pl.xlabel(name, color=axis_color, fontsize=13) pl.ylabel(labels['VALUE_FOR'] % name, color=axis_color, fontsize=13) if title is not None: pl.title(title, color=axis_color, fontsize=13) pl.gca().xaxis.set_ticks_position('bottom') pl.gca().yaxis.set_ticks_position('left') pl.gca().spines['right'].set_visible(False) pl.gca().spines['top'].set_visible(False) pl.gca().tick_params(color=axis_color, labelcolor=axis_color, labelsize=11) for spine in pl.gca().spines.values(): spine.set_edgecolor(axis_color) if type(xd[0]) == str: pl.xticks([name_map[n] for n in xnames], xnames, 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"xmin", "=", "np", ".", "nanmin", "(", "xv", ")", "-", "(", "xmax", "-", "np", ".", "nanmin", "(", "xv", ")", ")", "/", "20", "if", "xmax", "is", "None", "or", "xmax", "==", "np", ".", "nanmax", "(", "xv", ")", ":", "xmax", "=", "np", ".", "nanmax", "(", "xv", ")", "+", "(", "np", ".", "nanmax", "(", "xv", ")", "-", "xmin", ")", "/", "20", "pl", ".", "xlim", "(", "xmin", ",", "xmax", ")", "# plot any nan feature values as tick marks along the y-axis", "xlim", "=", "pl", ".", "xlim", "(", ")", "if", "interaction_index", "is", "not", "None", ":", "p", "=", "pl", ".", "scatter", "(", "xlim", "[", "0", "]", "", "np", ".", "ones", "(", "xv_nan", ".", "sum", "(", ")", ")", ",", "s", "[", "xv_nan", "]", ",", "marker", "=", "1", ",", "linewidth", "=", "2", ",", "c", "=", "cvals_imp", "[", "xv_nan", "]", ",", "cmap", "=", "cmap", ",", "alpha", "=", "alpha", ",", "vmin", "=", "clow", ",", "vmax", "=", "chigh", ")", "p", ".", "set_array", "(", "cvals", "[", "xv_nan", "]", ")", "else", ":", "pl", ".", "scatter", "(", "xlim", "[", "0", "]", "", "np", ".", "ones", "(", "xv_nan", ".", "sum", "(", ")", ")", ",", "s", "[", "xv_nan", "]", ",", "marker", "=", "1", ",", "linewidth", "=", "2", ",", "color", "=", "color", ",", "alpha", "=", "alpha", ")", "pl", ".", "xlim", "(", "*", "xlim", ")", "# make the plot more readable", "if", "interaction_index", "!=", "ind", ":", "pl", ".", "gcf", "(", ")", ".", "set_size_inches", "(", "7.5", ",", "5", ")", "else", ":", "pl", ".", "gcf", "(", ")", ".", "set_size_inches", "(", "6", ",", "5", ")", "pl", ".", "xlabel", "(", "name", ",", "color", "=", "axis_color", ",", "fontsize", "=", "13", ")", "pl", ".", "ylabel", "(", "labels", "[", "'VALUE_FOR'", "]", "%", "name", ",", "color", "=", "axis_color", ",", "fontsize", "=", "13", ")", "if", "title", "is", "not", "None", ":", "pl", ".", "title", "(", "title", ",", "color", "=", "axis_color", ",", "fontsize", "=", "13", ")", "pl", ".", "gca", "(", ")", ".", "xaxis", ".", "set_ticks_position", "(", "'bottom'", ")", "pl", ".", "gca", "(", ")", ".", "yaxis", ".", "set_ticks_position", "(", "'left'", ")", "pl", ".", "gca", "(", ")", ".", "spines", "[", "'right'", "]", ".", "set_visible", "(", "False", ")", "pl", ".", "gca", "(", ")", ".", "spines", "[", "'top'", "]", ".", "set_visible", "(", "False", ")", "pl", ".", "gca", "(", ")", ".", "tick_params", "(", "color", "=", "axis_color", ",", "labelcolor", "=", "axis_color", ",", "labelsize", "=", "11", ")", "for", "spine", "in", "pl", ".", "gca", "(", ")", ".", "spines", ".", "values", "(", ")", ":", "spine", ".", "set_edgecolor", "(", "axis_color", ")", "if", "type", "(", "xd", "[", "0", "]", ")", "==", "str", ":", "pl", ".", "xticks", "(", "[", "name_map", "[", "n", "]", "for", "n", "in", "xnames", "]", ",", "xnames", ",", "rotation", "=", "'vertical'", ",", "fontsize", "=", "11", ")", "if", "show", ":", "with", "warnings", ".", "catch_warnings", "(", ")", ":", "# ignore expected matplotlib warnings", "warnings", ".", "simplefilter", "(", "\"ignore\"", ",", "RuntimeWarning", ")", "pl", ".", "show", "(", ")" ]	Create a SHAP dependence plot, colored by an interaction feature. Plots the value of the feature on the x-axis and the SHAP value of the same feature on the y-axis. This shows how the model depends on the given feature, and is like a richer extenstion of the classical parital dependence plots. Vertical dispersion of the data points represents interaction effects. Grey ticks along the y-axis are data points where the feature's value was NaN. Parameters ---------- ind : int or string If this is an int it is the index of the feature to plot. If this is a string it is either the name of the feature to plot, or it can have the form "rank(int)" to specify the feature with that rank (ordered by mean absolute SHAP value over all the samples). shap_values : numpy.array Matrix of SHAP values (# samples x # features). features : numpy.array or pandas.DataFrame Matrix of feature values (# samples x # features). feature_names : list Names of the features (length # features). display_features : numpy.array or pandas.DataFrame Matrix of feature values for visual display (such as strings instead of coded values). interaction_index : "auto", None, int, or string The index of the feature used to color the plot. The name of a feature can also be passed as a string. If "auto" then shap.common.approximate_interactions is used to pick what seems to be the strongest interaction (note that to find to true stongest interaction you need to compute the SHAP interaction values). x_jitter : float (0 - 1) Adds random jitter to feature values. May increase plot readability when feature is discrete. alpha : float The transparency of the data points (between 0 and 1). This can be useful to the show density of the data points when using a large dataset. xmin : float or string Represents the lower bound of the plot's x-axis. It can be a string of the format "percentile(float)" to denote that percentile of the feature's value used on the x-axis. xmax : float or string Represents the upper bound of the plot's x-axis. It can be a string of the format "percentile(float)" to denote that percentile of the feature's value used on the x-axis.	[ "Create", "a", "SHAP", "dependence", "plot", "colored", "by", "an", "interaction", "feature", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/plots/dependence.py#L15-L275	train	Creates a SHAP dependence plot for a given feature.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(53) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(0b101011 + 0o6) + chr(50) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + '\x33' + chr(55) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(111) + '\x32' + '\x32' + chr(0b1110 + 0o47), 64018 - 64010), ehT0Px3KOsy9('\x30' + chr(7312 - 7201) + '\x33' + chr(49) + chr(0b110100 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(0b110001) + chr(2273 - 2223) + chr(0b10 + 0o63), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110111 + 0o70) + '\x32' + '\061', 1778 - 1770), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1674 - 1625) + chr(0b10011 + 0o41) + chr(0b111 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + '\062' + '\x33' + chr(0b110111), 34010 - 34002), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b100001 + 0o17) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b110100) + chr(0b101000 + 0o14), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\067' + chr(0b10110 + 0o37), ord("\x08")), ehT0Px3KOsy9(chr(656 - 608) + chr(10919 - 10808) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\x36' + chr(1444 - 1395), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x34' + chr(0b100101 + 0o20), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1 + 0o156) + chr(50) + chr(2337 - 2282) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(1608 - 1558) + '\x32' + chr(255 - 203), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b101110 + 0o11) + chr(713 - 663), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b110101) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(0b10011 + 0o134) + '\x32' + '\x33' + chr(227 - 175), ord("\x08")), ehT0Px3KOsy9(chr(262 - 214) + chr(5204 - 5093) + chr(51) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110101) + '\x33', 57889 - 57881), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\x31' + '\x36', 42423 - 42415), ehT0Px3KOsy9(chr(2033 - 1985) + chr(0b1101111) + chr(50) + '\x35' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1110 + 0o50) + chr(1085 - 1037), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + '\x31' + chr(50) + chr(2939 - 2884), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\067' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(0b10000 + 0o43) + chr(0b110000) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(568 - 517) + chr(51) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1434 - 1383) + chr(53) + chr(2462 - 2410), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\x35' + chr(571 - 517), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(50) + chr(2341 - 2290) + '\x34', 8), ehT0Px3KOsy9(chr(0b110000) + chr(8215 - 8104) + chr(0b110001) + '\x31' + '\x30', 61954 - 61946), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11110 + 0o23) + chr(54) + '\061', 192 - 184), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(2591 - 2538), 33363 - 33355), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(2205 - 2094) + chr(357 - 302) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(750 - 700) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110111) + '\x30', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(945 - 897) + chr(111) + chr(2039 - 1986) + '\x30', 55968 - 55960)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'A'), '\144' + chr(0b1100101) + chr(99) + chr(111) + chr(100) + chr(0b1100101))(chr(0b1110101) + '\164' + '\146' + chr(45) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def vBSfkMTN7J30(r3s_x88rHjuC, B6TQhWekbimD, EEf4r9nUvta_, pfS5O3iUpFhz=None, SAqdN3zvSO9g=None, ul4Y27jDgzLu=xafqLlk3kkUe(SXOLrMavuUCe(b"\x0e'\x8c\xfa"), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(111) + chr(9363 - 9263) + chr(5834 - 5733))('\x75' + chr(6266 - 6150) + chr(4372 - 4270) + chr(784 - 739) + '\070'), pxiSFVqpMRzu=xafqLlk3kkUe(SXOLrMavuUCe(b'Lc\xbd\xad\xf4\x10$'), chr(0b1010011 + 0o21) + chr(101) + chr(99) + '\157' + '\x64' + chr(101))('\x75' + chr(116) + chr(0b1001100 + 0o32) + chr(0b1001 + 0o44) + chr(0b100000 + 0o30)), fGc_OtAgxgkI=xafqLlk3kkUe(SXOLrMavuUCe(b'La\xcb\xa6\xfff"'), chr(0b1100100) + '\x65' + '\x63' + chr(0b110 + 0o151) + '\144' + chr(7347 - 7246))('\165' + '\x74' + chr(0b1100110) + chr(0b10101 + 0o30) + chr(56)), SOSoMsFfkZ2c=xafqLlk3kkUe(bVKMf_d5jJzc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d7\x9c\xca\xae9d\x07'), chr(0b111110 + 0o46) + chr(0b1010110 + 0o17) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1000110 + 0o57) + chr(116) + chr(0b1100110) + chr(1467 - 1422) + chr(0b1101 + 0o53))), SCPI6Bf7Cq2u=ehT0Px3KOsy9(chr(2105 - 2057) + '\157' + '\062' + '\060', 0b1000), RhhiTIIiLddt=ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\060', 16173 - 16165), gDUX9w35YHFE=ehT0Px3KOsy9('\060' + chr(111) + '\x31', 0b1000), IkttdaI0bGlA=None, iwLDVrOPwAXT=None, _BorAvM1DJSA=None, DCpH_3Y2dTvl=ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001), 8)): if xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(EEf4r9nUvta_)), xafqLlk3kkUe(SXOLrMavuUCe(b'\n<\x9c\xe6\xbb<e\n'), '\144' + '\x65' + '\143' + chr(0b1101111) + '\144' + chr(0b1100101))('\165' + chr(116) + '\146' + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'H"\x99\xfb\xa84bL\xfc\xa9\x96\xd8(r\x83\x04\xd2\xf1\x94\xef\xfdl\nI<\xce]2\x1b\xfa'), chr(100) + chr(0b111000 + 0o55) + chr(99) + chr(0b1101111) + chr(3463 - 3363) + chr(0b1100101))('\165' + chr(116) + '\x66' + '\x2d' + chr(0b111000))): if pfS5O3iUpFhz is None: pfS5O3iUpFhz = EEf4r9nUvta_.qKlXBtn3PKy4 EEf4r9nUvta_ = EEf4r9nUvta_.SPnCNu54H1db if xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(SAqdN3zvSO9g)), xafqLlk3kkUe(SXOLrMavuUCe(b'\n<\x9c\xe6\xbb<e\n'), '\x64' + '\145' + chr(99) + '\157' + '\144' + chr(101))(chr(7660 - 7543) + '\164' + chr(0b10111 + 0o117) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'H"\x99\xfb\xa84bL\xfc\xa9\x96\xd8(r\x83\x04\xd2\xf1\x94\xef\xfdl\nI<\xce]2\x1b\xfa'), chr(0b1100100) + '\145' + chr(8940 - 8841) + chr(0b1000011 + 0o54) + chr(0b1110 + 0o126) + '\145')(chr(6756 - 6639) + '\x74' + '\x66' + chr(0b101101) + chr(0b111000))): if pfS5O3iUpFhz is None: pfS5O3iUpFhz = SAqdN3zvSO9g.qKlXBtn3PKy4 SAqdN3zvSO9g = SAqdN3zvSO9g.SPnCNu54H1db elif SAqdN3zvSO9g is None: SAqdN3zvSO9g = EEf4r9nUvta_ if pfS5O3iUpFhz is None: pfS5O3iUpFhz = [uXMK81tmdpTM[xafqLlk3kkUe(SXOLrMavuUCe(b')\x17\xb9\xc1\x99\x07T'), '\144' + '\x65' + chr(0b1100011) + chr(644 - 533) + chr(100) + chr(10197 - 10096))(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + chr(0b111000))] % M8_cKLkHVB2V(WVxHKyX45z_L) for WVxHKyX45z_L in vQr8gNKaIaWE(B6TQhWekbimD.nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(12230 - 12119) + chr(49), 8)])] if c2A0yzQpDQB3(xafqLlk3kkUe(B6TQhWekbimD, xafqLlk3kkUe(SXOLrMavuUCe(b'\x013\x8d\xcc\xaa\x19v\x0e\xcb\xb6\x87\xdf'), chr(7669 - 7569) + '\x65' + '\x63' + chr(7088 - 6977) + chr(0b1100100) + '\x65')('\165' + chr(116) + chr(102) + chr(0b101101) + chr(2784 - 2728)))) == ehT0Px3KOsy9(chr(48) + chr(1895 - 1784) + chr(0b110001), 8): B6TQhWekbimD = WqUC3KWvYVup.reshape(B6TQhWekbimD, c2A0yzQpDQB3(B6TQhWekbimD), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(0b101011 + 0o6), 8)) if c2A0yzQpDQB3(xafqLlk3kkUe(EEf4r9nUvta_, xafqLlk3kkUe(SXOLrMavuUCe(b'\x013\x8d\xcc\xaa\x19v\x0e\xcb\xb6\x87\xdf'), '\144' + chr(211 - 110) + chr(0b1001 + 0o132) + chr(111) + chr(100) + chr(101))(chr(2980 - 2863) + chr(116) + '\x66' + chr(0b10110 + 0o27) + chr(1851 - 1795)))) == ehT0Px3KOsy9(chr(754 - 706) + '\x6f' + '\x31', 8): EEf4r9nUvta_ = WqUC3KWvYVup.reshape(EEf4r9nUvta_, c2A0yzQpDQB3(EEf4r9nUvta_), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31', 8)) r3s_x88rHjuC = GPIqsAOqPYuQ(r3s_x88rHjuC, B6TQhWekbimD, pfS5O3iUpFhz) if c2A0yzQpDQB3(xafqLlk3kkUe(B6TQhWekbimD, xafqLlk3kkUe(SXOLrMavuUCe(b'\x013\x8d\xcc\xaa\x19v\x0e\xcb\xb6\x87\xdf'), chr(100) + '\x65' + chr(3925 - 3826) + '\157' + chr(0b1010110 + 0o16) + chr(0b100111 + 0o76))('\x75' + '\x74' + chr(102) + chr(45) + chr(56)))) == ehT0Px3KOsy9(chr(48) + chr(0b1001111 + 0o40) + '\x33', 0b1000) and c2A0yzQpDQB3(r3s_x88rHjuC) == ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062', 26969 - 26961): S5iiKtECDQul = GPIqsAOqPYuQ(r3s_x88rHjuC[ehT0Px3KOsy9(chr(0b110000) + chr(5716 - 5605) + chr(1204 - 1156), 8)], B6TQhWekbimD, pfS5O3iUpFhz) OBw8y0KFs8oB = GPIqsAOqPYuQ(r3s_x88rHjuC[ehT0Px3KOsy9('\x30' + chr(0b100110 + 0o111) + chr(0b1001 + 0o50), 8)], B6TQhWekbimD, pfS5O3iUpFhz) if S5iiKtECDQul == OBw8y0KFs8oB: zicp7iExaTtg = B6TQhWekbimD[:, OBw8y0KFs8oB, :] else: zicp7iExaTtg = B6TQhWekbimD[:, OBw8y0KFs8oB, :] * ehT0Px3KOsy9(chr(48) + chr(0b101110 + 0o101) + chr(0b110010), 8) vBSfkMTN7J30(S5iiKtECDQul, zicp7iExaTtg, EEf4r9nUvta_, feature_names=pfS5O3iUpFhz, interaction_index=OBw8y0KFs8oB, display_features=SAqdN3zvSO9g, show=ehT0Px3KOsy9(chr(1971 - 1923) + chr(10457 - 10346) + '\060', 8), xmin=iwLDVrOPwAXT, xmax=_BorAvM1DJSA) if S5iiKtECDQul == OBw8y0KFs8oB: xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16>\x99\xf7\xa99'), chr(100) + '\x65' + '\x63' + chr(111) + '\x64' + '\x65')('\x75' + chr(0b1110100) + chr(125 - 23) + '\055' + chr(0b111000)))(uXMK81tmdpTM[xafqLlk3kkUe(SXOLrMavuUCe(b'"\x13\xb1\xdb\x93\x10W$\xda\x85\xb0'), '\x64' + chr(0b1100101) + chr(99) + chr(111) + chr(100) + chr(5140 - 5039))('\x75' + '\164' + chr(0b11001 + 0o115) + chr(98 - 53) + chr(0b111000))] % pfS5O3iUpFhz[S5iiKtECDQul]) else: xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16>\x99\xf7\xa99'), '\144' + chr(0b110100 + 0o61) + chr(9270 - 9171) + chr(4925 - 4814) + chr(100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1010000 + 0o26) + '\055' + chr(0b111000)))(uXMK81tmdpTM[xafqLlk3kkUe(SXOLrMavuUCe(b'&\x1c\xac\xd0\x9e\x14R6\xd6\x89\xaa\xe2CR\xb7 \xfc\xc0'), chr(0b1100100) + '\x65' + '\143' + chr(0b11111 + 0o120) + chr(0b1010001 + 0o23) + chr(0b1100101))(chr(0b1001010 + 0o53) + chr(116) + chr(8622 - 8520) + chr(1271 - 1226) + '\x38')] % (pfS5O3iUpFhz[S5iiKtECDQul], pfS5O3iUpFhz[OBw8y0KFs8oB])) if DCpH_3Y2dTvl: xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c:\x97\xe2'), chr(0b1100100) + chr(101) + chr(0b110100 + 0o57) + chr(111) + '\144' + chr(101))('\165' + chr(0b1110100) + '\x66' + '\x2d' + chr(0b11001 + 0o37)))() return assert xafqLlk3kkUe(B6TQhWekbimD, xafqLlk3kkUe(SXOLrMavuUCe(b'\x013\x8d\xcc\xaa\x19v\x0e\xcb\xb6\x87\xdf'), chr(100) + '\145' + chr(7023 - 6924) + '\157' + chr(0b110101 + 0o57) + '\145')(chr(0b1110101) + chr(0b1110100) + '\x66' + '\x2d' + '\070'))[ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', 8)] == xafqLlk3kkUe(EEf4r9nUvta_, xafqLlk3kkUe(SXOLrMavuUCe(b'\x013\x8d\xcc\xaa\x19v\x0e\xcb\xb6\x87\xdf'), chr(5969 - 5869) + chr(101) + chr(917 - 818) + chr(111) + '\x64' + chr(7233 - 7132))(chr(0b1110101 + 0o0) + '\x74' + chr(102) + chr(0b1000 + 0o45) + chr(56)))[ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + '\x30', 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'H!\x90\xf4\xbc\ng\x03\xf3\xb3\x81\xce!4\x90\x0b\xdb\xb4\x9d\xcd\xf9y\x1fz<\xcaCp\x1c\xb2\xba\x80\x9b\xf9;Q`H\xe4\x8cO:\x99\xe3\xa9ue\n\xfa\xe6\x97\xdckq\xd1\x0b\xca\xf9\xd8\xce\xee8\x04in\xdd_ O\xe5'), chr(100) + chr(0b100100 + 0o101) + chr(426 - 327) + chr(0b100 + 0o153) + chr(5156 - 5056) + '\x65')('\165' + '\x74' + chr(0b1100110) + chr(0b101101) + '\070') assert xafqLlk3kkUe(B6TQhWekbimD, xafqLlk3kkUe(SXOLrMavuUCe(b'\x013\x8d\xcc\xaa\x19v\x0e\xcb\xb6\x87\xdf'), chr(0b1000100 + 0o40) + chr(0b101000 + 0o75) + chr(9411 - 9312) + chr(0b1101111) + chr(100) + '\x65')(chr(117) + '\x74' + '\146' + '\x2d' + '\070'))[ehT0Px3KOsy9(chr(811 - 763) + chr(9455 - 9344) + '\x31', 8)] == xafqLlk3kkUe(EEf4r9nUvta_, xafqLlk3kkUe(SXOLrMavuUCe(b'\x013\x8d\xcc\xaa\x19v\x0e\xcb\xb6\x87\xdf'), '\x64' + '\145' + chr(0b1100011) + '\157' + chr(8632 - 8532) + '\145')(chr(0b1001110 + 0o47) + '\x74' + chr(102) + chr(0b10011 + 0o32) + '\070'))[ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(607 - 558), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'H!\x90\xf4\xbc\ng\x03\xf3\xb3\x81\xce!4\x9c\x10\xcc\xe0\x9a\xc3\xfdn\x0e/:\xc7UwO\xa5\xb6\x89\xce\xf2=\x1coX\xe5\xd8\x004\xd8\xf6\xa39d\x0f\xf1\xb5\xc4\xdcu4\xd6\x03\xda\xf5\xce\xde\xee}\x18(o'), chr(100) + chr(8705 - 8604) + chr(0b111010 + 0o51) + '\157' + chr(100) + chr(101))(chr(0b1110101) + chr(10124 - 10008) + chr(3009 - 2907) + chr(0b11 + 0o52) + chr(56)) z3uLfGuMmCXj = WqUC3KWvYVup.arange(B6TQhWekbimD.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1100010 + 0o15) + '\060', 8)]) xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c:\x8d\xf3\xaa9t'), chr(0b10011 + 0o121) + chr(0b111111 + 0o46) + '\x63' + chr(0b1101111) + chr(0b1001110 + 0o26) + chr(0b1100101))('\x75' + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b10 + 0o66)))(z3uLfGuMmCXj) ev3Ov5vHJR1I = EEf4r9nUvta_[z3uLfGuMmCXj, r3s_x88rHjuC].astype(WqUC3KWvYVup.float64) M2qWRjmoo5aA = SAqdN3zvSO9g[z3uLfGuMmCXj, r3s_x88rHjuC] vGrByMSYMp9h = B6TQhWekbimD[z3uLfGuMmCXj, r3s_x88rHjuC] if PlSM16l2KDPD(M2qWRjmoo5aA[ehT0Px3KOsy9(chr(48) + chr(111) + '\060', 8)], M8_cKLkHVB2V): gjfMd2ZZjkVo = {} for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(ev3Ov5vHJR1I)): gjfMd2ZZjkVo[M2qWRjmoo5aA[WVxHKyX45z_L]] = ev3Ov5vHJR1I[WVxHKyX45z_L] WkVJcRg5v76F = YyaZ4tpXu4lf(gjfMd2ZZjkVo.keys()) if PlSM16l2KDPD(pfS5O3iUpFhz, M8_cKLkHVB2V): pfS5O3iUpFhz = [pfS5O3iUpFhz] AIvJRzLdDfgF = pfS5O3iUpFhz[r3s_x88rHjuC] if ul4Y27jDgzLu == xafqLlk3kkUe(SXOLrMavuUCe(b"\x0e'\x8c\xfa"), '\x64' + chr(5782 - 5681) + '\x63' + chr(0b1010011 + 0o34) + chr(4975 - 4875) + chr(101))(chr(0b1001100 + 0o51) + chr(0b1001001 + 0o53) + chr(102) + chr(45) + '\x38'): ul4Y27jDgzLu = J7A_93xzIZSL(r3s_x88rHjuC, B6TQhWekbimD, EEf4r9nUvta_)[ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + '\x30', 8)] ul4Y27jDgzLu = GPIqsAOqPYuQ(ul4Y27jDgzLu, B6TQhWekbimD, pfS5O3iUpFhz) KYclfkE3XZRQ = ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(0b110000), 8) pAi7l9DuDs98 = None if ul4Y27jDgzLu is not None: io3OA6wTBl1L = EEf4r9nUvta_[:, ul4Y27jDgzLu] LgUG_KUwxdgf = SAqdN3zvSO9g[:, ul4Y27jDgzLu] Gsxip3F8wIct = WqUC3KWvYVup.nanpercentile(io3OA6wTBl1L.astype(WqUC3KWvYVup.float), ehT0Px3KOsy9('\x30' + '\157' + chr(53), ord("\x08"))) n8ishgtouLIg = WqUC3KWvYVup.nanpercentile(io3OA6wTBl1L.astype(WqUC3KWvYVup.float), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + '\061' + chr(51) + '\x37', 56987 - 56979)) if PlSM16l2KDPD(LgUG_KUwxdgf[ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(48), 8)], M8_cKLkHVB2V): K6I69mRBs0Xj = {} for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(io3OA6wTBl1L)): K6I69mRBs0Xj[LgUG_KUwxdgf[WVxHKyX45z_L]] = io3OA6wTBl1L[WVxHKyX45z_L] lH75eIlUjGZV = YyaZ4tpXu4lf(K6I69mRBs0Xj.keys()) KYclfkE3XZRQ = ehT0Px3KOsy9(chr(48) + chr(11502 - 11391) + chr(49), 8) elif Gsxip3F8wIct % ehT0Px3KOsy9(chr(714 - 666) + chr(0b1000000 + 0o57) + chr(0b110001), 8) == ehT0Px3KOsy9('\060' + chr(111) + chr(2289 - 2241), 8) and n8ishgtouLIg % ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(49), 8) == ehT0Px3KOsy9('\060' + '\157' + '\060', 8) and (n8ishgtouLIg - Gsxip3F8wIct < ehT0Px3KOsy9('\x30' + '\x6f' + chr(2068 - 2019) + '\x32', ord("\x08"))): KYclfkE3XZRQ = ehT0Px3KOsy9(chr(772 - 724) + chr(113 - 2) + '\x31', 8) if KYclfkE3XZRQ and Gsxip3F8wIct != n8ishgtouLIg: Gsxip3F8wIct = WqUC3KWvYVup.nanmin(io3OA6wTBl1L.astype(WqUC3KWvYVup.float)) n8ishgtouLIg = WqUC3KWvYVup.nanmax(io3OA6wTBl1L.astype(WqUC3KWvYVup.float)) z9PohReQ9vtF = WqUC3KWvYVup.linspace(Gsxip3F8wIct, n8ishgtouLIg, ehT0Px3KOsy9(n8ishgtouLIg - Gsxip3F8wIct + ehT0Px3KOsy9(chr(431 - 383) + chr(2009 - 1898) + chr(50), 8))) pAi7l9DuDs98 = YnMMEu3waZTj.colors.BoundaryNorm(z9PohReQ9vtF, SOSoMsFfkZ2c.N - ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49), 8)) if RhhiTIIiLddt > ehT0Px3KOsy9(chr(419 - 371) + chr(11184 - 11073) + chr(48), 8): if RhhiTIIiLddt > ehT0Px3KOsy9('\060' + '\157' + chr(0b1100 + 0o45), 8): RhhiTIIiLddt = ehT0Px3KOsy9('\x30' + chr(111) + chr(49), 8) MNxMise_IlMm = ev3Ov5vHJR1I.igThHS4jwVsa() if PlSM16l2KDPD(MNxMise_IlMm[ehT0Px3KOsy9(chr(48) + '\157' + '\060', 8)], kkSX4ccExqw4): MNxMise_IlMm = MNxMise_IlMm.astype(WqUC3KWvYVup.float) MNxMise_IlMm = MNxMise_IlMm[~WqUC3KWvYVup.isnan(MNxMise_IlMm)] MNxMise_IlMm = WqUC3KWvYVup.unique(MNxMise_IlMm) if c2A0yzQpDQB3(MNxMise_IlMm) >= ehT0Px3KOsy9(chr(1471 - 1423) + chr(1740 - 1629) + chr(0b110010), 8): r6QXeFovB8gc = WqUC3KWvYVup.Dx22bkKPdt5d(WqUC3KWvYVup.diff(WqUC3KWvYVup.sort(MNxMise_IlMm))) b5hhhJFPaKp5 = RhhiTIIiLddt * r6QXeFovB8gc ev3Ov5vHJR1I += WqUC3KWvYVup.random.ranf(size=c2A0yzQpDQB3(ev3Ov5vHJR1I)) * b5hhhJFPaKp5 - b5hhhJFPaKp5 / ehT0Px3KOsy9(chr(48) + '\157' + '\062', 8) lvxcuFjhmO3w = WqUC3KWvYVup.isnan(ev3Ov5vHJR1I) dTEGYy9Zidiu = WqUC3KWvYVup.invert(lvxcuFjhmO3w) if ul4Y27jDgzLu is not None: yBHXte6NBuav = EEf4r9nUvta_[z3uLfGuMmCXj, ul4Y27jDgzLu].astype(WqUC3KWvYVup.float64) oaK6e6xj0LCW = yBHXte6NBuav.igThHS4jwVsa() oaK6e6xj0LCW[WqUC3KWvYVup.wN4RVZAxJEhp(yBHXte6NBuav)] = (Gsxip3F8wIct + n8ishgtouLIg) / 2.0 yBHXte6NBuav[oaK6e6xj0LCW > n8ishgtouLIg] = n8ishgtouLIg yBHXte6NBuav[oaK6e6xj0LCW < Gsxip3F8wIct] = Gsxip3F8wIct UyakMW2IMFEj = _Io90I7sfc_c.scatter(ev3Ov5vHJR1I[dTEGYy9Zidiu], vGrByMSYMp9h[dTEGYy9Zidiu], s=SCPI6Bf7Cq2u, linewidth=ehT0Px3KOsy9('\060' + chr(111) + '\060', 8), c=yBHXte6NBuav[dTEGYy9Zidiu], cmap=SOSoMsFfkZ2c, alpha=gDUX9w35YHFE, vmin=Gsxip3F8wIct, vmax=n8ishgtouLIg, norm=pAi7l9DuDs98, rasterized=c2A0yzQpDQB3(ev3Ov5vHJR1I) > ehT0Px3KOsy9(chr(0b110000) + chr(123 - 12) + chr(0b110 + 0o61) + chr(0b11010 + 0o34) + chr(855 - 803), 0b1000)) xafqLlk3kkUe(UyakMW2IMFEj, xafqLlk3kkUe(SXOLrMavuUCe(b"\x1c7\x8c\xca\xad'c\x03\xe6"), '\144' + chr(613 - 512) + chr(99) + '\x6f' + '\144' + chr(0b1100101))('\x75' + chr(116) + chr(2698 - 2596) + '\055' + chr(56)))(yBHXte6NBuav[dTEGYy9Zidiu]) else: xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c1\x99\xe1\xb80c'), '\x64' + chr(0b100111 + 0o76) + chr(0b1001101 + 0o26) + '\157' + chr(669 - 569) + chr(4257 - 4156))('\x75' + '\x74' + chr(0b0 + 0o146) + chr(645 - 600) + chr(0b100011 + 0o25)))(ev3Ov5vHJR1I, vGrByMSYMp9h, s=SCPI6Bf7Cq2u, linewidth=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', 8), color=pxiSFVqpMRzu, alpha=gDUX9w35YHFE, rasterized=c2A0yzQpDQB3(ev3Ov5vHJR1I) > ehT0Px3KOsy9('\060' + '\157' + '\x37' + chr(0b110110) + chr(0b1 + 0o63), 8)) if ul4Y27jDgzLu != r3s_x88rHjuC and ul4Y27jDgzLu is not None: if PlSM16l2KDPD(LgUG_KUwxdgf[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1101 + 0o43), 8)], M8_cKLkHVB2V): KFiGnUMniHHH = [K6I69mRBs0Xj[m1NkCryOw9Bx] for m1NkCryOw9Bx in lH75eIlUjGZV] if c2A0yzQpDQB3(KFiGnUMniHHH) == ehT0Px3KOsy9(chr(1862 - 1814) + chr(111) + chr(0b110010), 8): KFiGnUMniHHH[ehT0Px3KOsy9('\060' + chr(111) + '\x30', 8)] -= 0.25 KFiGnUMniHHH[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31', 8)] += 0.25 hfOA2bIyYn7s = _Io90I7sfc_c.colorbar(ticks=KFiGnUMniHHH) xafqLlk3kkUe(hfOA2bIyYn7s, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c7\x8c\xca\xb8<r\t\xf3\xa7\x86\xd8jg'), chr(9218 - 9118) + '\x65' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(116) + chr(255 - 153) + '\x2d' + '\070'))(lH75eIlUjGZV) else: hfOA2bIyYn7s = _Io90I7sfc_c.colorbar() xafqLlk3kkUe(hfOA2bIyYn7s, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c7\x8c\xca\xa04s\x07\xf3'), '\144' + '\x65' + chr(3278 - 3179) + chr(111) + chr(100) + chr(9609 - 9508))(chr(8407 - 8290) + '\164' + '\146' + chr(0b11111 + 0o16) + chr(56)))(pfS5O3iUpFhz[ul4Y27jDgzLu], size=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(53), 8)) xafqLlk3kkUe(hfOA2bIyYn7s.ax, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b;\x9b\xfe\x93%p\x10\xfe\xab\x97'), chr(0b1001001 + 0o33) + chr(0b1100101) + chr(99) + '\x6f' + chr(878 - 778) + '\x65')('\x75' + '\164' + chr(102) + chr(45) + chr(2673 - 2617)))(labelsize=ehT0Px3KOsy9(chr(0b110000) + chr(7498 - 7387) + '\061' + '\063', 0o10)) if KYclfkE3XZRQ: xafqLlk3kkUe(hfOA2bIyYn7s.ax, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b;\x9b\xfe\x93%p\x10\xfe\xab\x97'), chr(9892 - 9792) + chr(101) + chr(0b1000111 + 0o34) + chr(111) + chr(100) + chr(0b1100101))(chr(0b1110010 + 0o3) + chr(116) + chr(9436 - 9334) + chr(0b10011 + 0o32) + '\x38'))(length=ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(0b110000), 8)) xafqLlk3kkUe(hfOA2bIyYn7s, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c7\x8c\xca\xad9a\n\xfe'), '\x64' + '\x65' + chr(99) + chr(0b1001111 + 0o40) + chr(0b110100 + 0o60) + '\x65')(chr(117) + chr(0b1111 + 0o145) + chr(102) + chr(0b101101) + '\x38'))(ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001), 8)) xafqLlk3kkUe(hfOA2bIyYn7s.outline, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c7\x8c\xca\xba<b\x0b\xfd\xaa\x81'), '\144' + chr(0b111101 + 0o50) + chr(99) + chr(1050 - 939) + '\144' + '\x65')('\165' + chr(0b1110100) + chr(102) + chr(0b11110 + 0o17) + '\070'))(ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + chr(0b110000), 8)) HdQfPnA6nf66 = hfOA2bIyYn7s.ax.get_window_extent().aMh8mto44T2o(_Io90I7sfc_c.gcf().dpi_scale_trans.inverted()) xafqLlk3kkUe(hfOA2bIyYn7s.ax, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c7\x8c\xca\xad&a\x07\xfc\xb2'), chr(100) + chr(101) + '\x63' + chr(0b11000 + 0o127) + '\144' + chr(101))(chr(10522 - 10405) + chr(0b101001 + 0o113) + chr(5144 - 5042) + chr(0b101101) + chr(0b111000)))((xafqLlk3kkUe(HdQfPnA6nf66, xafqLlk3kkUe(SXOLrMavuUCe(b'\n:\x9a\xc0\x99\x19Z\x17\xe6\xa1\x82\xfe'), chr(0b111101 + 0o47) + chr(4399 - 4298) + '\143' + '\x6f' + '\144' + chr(0b1100101))(chr(0b1110101) + '\x74' + '\x66' + '\x2d' + chr(2845 - 2789))) - 0.7) * ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(50) + chr(0b10000 + 0o44), 8)) if iwLDVrOPwAXT is not None or _BorAvM1DJSA is not None: if PlSM16l2KDPD(iwLDVrOPwAXT, M8_cKLkHVB2V) and xafqLlk3kkUe(iwLDVrOPwAXT, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c&\x99\xe7\xb8&f\x0b\xeb\xae'), chr(0b1100100) + chr(0b10 + 0o143) + '\143' + chr(0b111011 + 0o64) + chr(0b1000110 + 0o36) + chr(0b1100101))(chr(10177 - 10060) + '\164' + chr(0b1100101 + 0o1) + chr(0b101101) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f7\x8a\xf6\xa9;e\x0b\xf3\xa3'), chr(100) + chr(0b1000010 + 0o43) + chr(99) + '\157' + chr(0b1100100) + chr(6314 - 6213))(chr(0b1101110 + 0o7) + chr(0b1110100) + '\146' + chr(45) + chr(0b111000))): iwLDVrOPwAXT = WqUC3KWvYVup.nanpercentile(ev3Ov5vHJR1I, kkSX4ccExqw4(iwLDVrOPwAXT[ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x33', 8):-ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061', 8)])) if PlSM16l2KDPD(_BorAvM1DJSA, M8_cKLkHVB2V) and xafqLlk3kkUe(_BorAvM1DJSA, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c&\x99\xe7\xb8&f\x0b\xeb\xae'), chr(0b1100100) + chr(8804 - 8703) + '\x63' + chr(111) + chr(0b1100100) + '\145')(chr(2638 - 2521) + chr(0b1110100) + chr(0b1100011 + 0o3) + '\055' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f7\x8a\xf6\xa9;e\x0b\xf3\xa3'), chr(100) + chr(101) + '\143' + chr(111) + '\144' + chr(0b1001111 + 0o26))(chr(0b1110101) + chr(1745 - 1629) + chr(0b1100110) + '\x2d' + '\070')): _BorAvM1DJSA = WqUC3KWvYVup.nanpercentile(ev3Ov5vHJR1I, kkSX4ccExqw4(_BorAvM1DJSA[ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + '\061' + '\063', 8):-ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(0b10110 + 0o33), 8)])) if iwLDVrOPwAXT is None or iwLDVrOPwAXT == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x013\x96\xf8\xa5;'), '\x64' + chr(3960 - 3859) + chr(0b1100011) + chr(0b10010 + 0o135) + chr(0b1100100) + chr(804 - 703))(chr(117) + chr(0b1110100) + '\x66' + chr(1606 - 1561) + chr(1787 - 1731)))(ev3Ov5vHJR1I): iwLDVrOPwAXT = WqUC3KWvYVup.nanmin(ev3Ov5vHJR1I) - (_BorAvM1DJSA - WqUC3KWvYVup.nanmin(ev3Ov5vHJR1I)) / ehT0Px3KOsy9(chr(48) + '\157' + chr(654 - 604) + chr(52), 8) if _BorAvM1DJSA is None or _BorAvM1DJSA == xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x013\x96\xf8\xad-'), '\144' + chr(9055 - 8954) + chr(99) + chr(2661 - 2550) + chr(0b1100100) + chr(0b1100101))(chr(2117 - 2000) + '\x74' + chr(7211 - 7109) + chr(0b101101) + '\070'))(ev3Ov5vHJR1I): _BorAvM1DJSA = WqUC3KWvYVup.nanmax(ev3Ov5vHJR1I) + (WqUC3KWvYVup.nanmax(ev3Ov5vHJR1I) - iwLDVrOPwAXT) / ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(50) + chr(0b110100), 8) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17>\x91\xf8'), chr(0b111 + 0o135) + '\x65' + '\x63' + chr(6994 - 6883) + '\x64' + '\x65')(chr(10709 - 10592) + chr(11451 - 11335) + '\146' + '\x2d' + '\070'))(iwLDVrOPwAXT, _BorAvM1DJSA) KT7TPzSiThlG = _Io90I7sfc_c.xlim() if ul4Y27jDgzLu is not None: UyakMW2IMFEj = _Io90I7sfc_c.scatter(KT7TPzSiThlG[ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(283 - 235), 8)] * WqUC3KWvYVup.ones(lvxcuFjhmO3w.xkxBmo49x2An()), vGrByMSYMp9h[lvxcuFjhmO3w], marker=ehT0Px3KOsy9(chr(1675 - 1627) + chr(111) + chr(1449 - 1400), 8), linewidth=ehT0Px3KOsy9(chr(48) + chr(9394 - 9283) + chr(1174 - 1124), 8), c=oaK6e6xj0LCW[lvxcuFjhmO3w], cmap=SOSoMsFfkZ2c, alpha=gDUX9w35YHFE, vmin=Gsxip3F8wIct, vmax=n8ishgtouLIg) xafqLlk3kkUe(UyakMW2IMFEj, xafqLlk3kkUe(SXOLrMavuUCe(b"\x1c7\x8c\xca\xad'c\x03\xe6"), chr(100) + chr(0b10001 + 0o124) + chr(8532 - 8433) + chr(0b1101101 + 0o2) + '\x64' + chr(0b1010001 + 0o24))(chr(117) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(56)))(yBHXte6NBuav[lvxcuFjhmO3w]) else: xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c1\x99\xe1\xb80c'), chr(0b11010 + 0o112) + '\145' + chr(99) + chr(111) + chr(0b110000 + 0o64) + '\145')(chr(3285 - 3168) + chr(0b1110100) + '\146' + '\055' + '\070'))(KT7TPzSiThlG[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100011 + 0o15), 8)] * xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\x00<\x9d\xe6'), '\x64' + chr(101) + '\x63' + chr(1076 - 965) + chr(0b1010011 + 0o21) + '\x65')('\165' + '\x74' + '\x66' + chr(0b101101) + chr(2035 - 1979)))(xafqLlk3kkUe(lvxcuFjhmO3w, xafqLlk3kkUe(SXOLrMavuUCe(b'\x179\x80\xd7\xa1:%[\xe7\xf4\xa5\xd3'), chr(100) + '\x65' + '\143' + chr(111) + chr(0b1100100) + chr(3529 - 3428))('\x75' + chr(0b110101 + 0o77) + chr(814 - 712) + chr(968 - 923) + '\x38'))()), vGrByMSYMp9h[lvxcuFjhmO3w], marker=ehT0Px3KOsy9(chr(1733 - 1685) + chr(111) + '\061', 8), linewidth=ehT0Px3KOsy9(chr(1832 - 1784) + '\157' + chr(600 - 550), 8), color=pxiSFVqpMRzu, alpha=gDUX9w35YHFE) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17>\x91\xf8'), chr(0b1100100) + chr(0b1100101) + chr(4343 - 4244) + '\x6f' + chr(100) + '\145')(chr(376 - 259) + chr(234 - 118) + chr(0b1100110) + '\x2d' + chr(0b111000)))(*KT7TPzSiThlG) if ul4Y27jDgzLu != r3s_x88rHjuC: xafqLlk3kkUe(_Io90I7sfc_c.gcf(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c7\x8c\xca\xbf<k\x07\xc0\xaf\x8a\xdenq\x82'), chr(1278 - 1178) + chr(0b10111 + 0o116) + chr(0b1100011) + chr(166 - 55) + chr(0b1100100) + chr(101))(chr(117) + chr(116) + chr(102) + '\055' + chr(871 - 815)))(7.5, ehT0Px3KOsy9('\x30' + chr(9155 - 9044) + '\065', 8)) else: xafqLlk3kkUe(_Io90I7sfc_c.gcf(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c7\x8c\xca\xbf<k\x07\xc0\xaf\x8a\xdenq\x82'), chr(0b1100100) + chr(2807 - 2706) + chr(0b1100011) + '\157' + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(0b101001 + 0o4) + '\x38'))(ehT0Px3KOsy9(chr(622 - 574) + chr(0b1101111) + '\066', 8), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + '\065', 8)) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17>\x99\xf7\xa99'), chr(100) + chr(101) + '\143' + '\157' + chr(0b100000 + 0o104) + chr(749 - 648))('\x75' + '\x74' + '\x66' + chr(78 - 33) + chr(0b101011 + 0o15)))(AIvJRzLdDfgF, color=fGc_OtAgxgkI, fontsize=ehT0Px3KOsy9(chr(388 - 340) + '\x6f' + chr(49) + chr(0b110101), 8)) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\x16>\x99\xf7\xa99'), chr(0b1100100) + '\145' + chr(99) + chr(168 - 57) + chr(7865 - 7765) + '\145')(chr(0b1110101) + chr(116) + chr(9418 - 9316) + '\055' + '\070'))(uXMK81tmdpTM[xafqLlk3kkUe(SXOLrMavuUCe(b'9\x13\xb4\xc0\x89\nW-\xcd'), '\144' + '\145' + chr(0b100110 + 0o75) + '\x6f' + chr(0b111100 + 0o50) + '\x65')(chr(117) + '\x74' + '\146' + chr(0b101101) + chr(2442 - 2386))] % AIvJRzLdDfgF, color=fGc_OtAgxgkI, fontsize=ehT0Px3KOsy9('\060' + chr(7802 - 7691) + '\061' + '\065', 8)) if IkttdaI0bGlA is not None: xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b;\x8c\xf9\xa9'), chr(0b1100100) + chr(101) + chr(99) + '\x6f' + chr(0b1011001 + 0o13) + chr(101))(chr(0b1110101) + chr(0b1000011 + 0o61) + chr(102) + '\055' + '\x38'))(IkttdaI0bGlA, color=fGc_OtAgxgkI, fontsize=ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b101001 + 0o14), 8)) xafqLlk3kkUe(_Io90I7sfc_c.gca().xaxis, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c7\x8c\xca\xb8<r\t\xec\x99\x94\xd2u}\x85\x0c\xd0\xfa'), chr(0b10010 + 0o122) + chr(101) + chr(0b101011 + 0o70) + chr(10615 - 10504) + chr(0b1100100) + chr(0b1110 + 0o127))(chr(9763 - 9646) + chr(0b101100 + 0o110) + chr(6275 - 6173) + '\x2d' + chr(2425 - 2369)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\r=\x8c\xe1\xa38'), chr(0b1000010 + 0o42) + chr(101) + chr(99) + chr(111) + '\x64' + chr(9056 - 8955))('\x75' + chr(2478 - 2362) + chr(0b1100110) + chr(555 - 510) + chr(0b111000))) xafqLlk3kkUe(_Io90I7sfc_c.gca().yaxis, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c7\x8c\xca\xb8<r\t\xec\x99\x94\xd2u}\x85\x0c\xd0\xfa'), chr(3172 - 3072) + '\x65' + '\143' + '\157' + '\144' + '\x65')(chr(1691 - 1574) + chr(0b1110100) + '\146' + chr(0b10010 + 0o33) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x037\x9e\xe1'), chr(3472 - 3372) + chr(0b110111 + 0o56) + chr(99) + chr(0b111110 + 0o61) + '\x64' + chr(7466 - 7365))(chr(117) + '\x74' + chr(10289 - 10187) + chr(0b101101) + chr(0b101101 + 0o13))) xafqLlk3kkUe(_Io90I7sfc_c.gca().spines[xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d;\x9f\xfd\xb8'), '\x64' + chr(101) + chr(0b111111 + 0o44) + chr(0b1101111) + '\x64' + chr(101))(chr(0b1110101) + chr(10831 - 10715) + '\x66' + chr(0b101101) + '\x38')], xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c7\x8c\xca\xba<b\x0b\xfd\xaa\x81'), chr(9220 - 9120) + chr(0b1100101) + '\143' + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b111000)))(ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(48), 8)) xafqLlk3kkUe(_Io90I7sfc_c.gca().spines[xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b=\x88'), chr(0b1100100) + chr(9778 - 9677) + '\x63' + chr(111) + chr(0b1100100) + chr(101))(chr(0b1011110 + 0o27) + '\x74' + chr(0b1100110) + chr(627 - 582) + chr(977 - 921))], xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c7\x8c\xca\xba<b\x0b\xfd\xaa\x81'), chr(0b1100100) + chr(101) + '\143' + chr(0b1000011 + 0o54) + '\144' + '\x65')(chr(117) + chr(0b10110 + 0o136) + '\146' + chr(45) + '\070'))(ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b10001 + 0o136) + chr(48), 8)) xafqLlk3kkUe(_Io90I7sfc_c.gca(), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b;\x9b\xfe\x93%p\x10\xfe\xab\x97'), chr(0b100001 + 0o103) + chr(101) + chr(7140 - 7041) + '\x6f' + '\144' + chr(7744 - 7643))(chr(0b1110101) + chr(116) + chr(102) + chr(45) + '\x38'))(color=fGc_OtAgxgkI, labelcolor=fGc_OtAgxgkI, labelsize=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(51), 8)) for e8V5sokJN4M1 in xafqLlk3kkUe(_Io90I7sfc_c.gca().spines, xafqLlk3kkUe(SXOLrMavuUCe(b'<\x02\x96\xd6\x82 $V\xd7\xf7\x80\xdf'), '\x64' + chr(1446 - 1345) + chr(5675 - 5576) + chr(7905 - 7794) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(116) + chr(8323 - 8221) + chr(0b100100 + 0o11) + chr(0b110111 + 0o1)))(): xafqLlk3kkUe(e8V5sokJN4M1, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c7\x8c\xca\xa91v\x07\xfc\xa9\x88\xd2t'), chr(100) + chr(8111 - 8010) + chr(0b11000 + 0o113) + chr(0b1101111) + chr(100) + '\145')('\x75' + '\164' + chr(8054 - 7952) + chr(0b101001 + 0o4) + chr(0b111000)))(fGc_OtAgxgkI) if PlSM16l2KDPD(M2qWRjmoo5aA[ehT0Px3KOsy9(chr(48) + chr(11798 - 11687) + chr(1841 - 1793), 8)], M8_cKLkHVB2V): xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17&\x91\xf6\xa7&'), '\x64' + chr(6361 - 6260) + chr(99) + chr(111) + chr(100) + chr(101))(chr(117) + '\164' + chr(2804 - 2702) + '\x2d' + chr(56)))([gjfMd2ZZjkVo[m1NkCryOw9Bx] for m1NkCryOw9Bx in WkVJcRg5v76F], WkVJcRg5v76F, rotation=xafqLlk3kkUe(SXOLrMavuUCe(b'\x197\x8a\xe1\xa56p\x0e'), '\x64' + chr(101) + chr(0b101111 + 0o64) + chr(2869 - 2758) + chr(100) + chr(3680 - 3579))('\165' + chr(116) + chr(102) + '\055' + chr(400 - 344)), fontsize=ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10 + 0o57) + '\063', 8)) if DCpH_3Y2dTvl: with xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c3\x8c\xf6\xa4\nf\x03\xed\xa8\x8d\xd3ag'), chr(100) + '\x65' + '\143' + chr(0b11010 + 0o125) + chr(0b1100100) + chr(264 - 163))(chr(0b1110101) + '\164' + chr(102) + '\055' + chr(0b111000)))(): xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c;\x95\xe5\xa00w\x0b\xf3\xb2\x81\xcf'), '\x64' + chr(101) + chr(99) + chr(8575 - 8464) + '\x64' + chr(101))('\165' + chr(116) + '\146' + '\055' + chr(3055 - 2999)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x065\x96\xfa\xbe0'), '\x64' + chr(9801 - 9700) + chr(2085 - 1986) + chr(0b1000000 + 0o57) + chr(0b1010000 + 0o24) + '\x65')(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(742 - 697) + chr(0b111000)), eh4BeXwijHpf) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c:\x97\xe2'), chr(100) + chr(101) + chr(0b0 + 0o143) + chr(0b110110 + 0o71) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b11010 + 0o36)))()
slundberg/shap	shap/benchmark/metrics.py	runtime	def runtime(X, y, model_generator, method_name): """ Runtime transform = "negate" sort_order = 1 """ old_seed = np.random.seed() np.random.seed(3293) # average the method scores over several train/test splits method_reps = [] for i in range(1): X_train, X_test, y_train, _ = train_test_split(__toarray(X), y, test_size=100, random_state=i) # define the model we are going to explain model = model_generator() model.fit(X_train, y_train) # evaluate each method start = time.time() explainer = getattr(methods, method_name)(model, X_train) build_time = time.time() - start start = time.time() explainer(X_test) explain_time = time.time() - start # we always normalize the explain time as though we were explaining 1000 samples # even if to reduce the runtime of the benchmark we do less (like just 100) method_reps.append(build_time + explain_time * 1000.0 / X_test.shape[0]) np.random.seed(old_seed) return None, np.mean(method_reps)	python	def runtime(X, y, model_generator, method_name): """ Runtime transform = "negate" sort_order = 1 """ old_seed = np.random.seed() np.random.seed(3293) # average the method scores over several train/test splits method_reps = [] for i in range(1): X_train, X_test, y_train, _ = train_test_split(__toarray(X), y, test_size=100, random_state=i) # define the model we are going to explain model = model_generator() model.fit(X_train, y_train) # evaluate each method start = time.time() explainer = getattr(methods, method_name)(model, X_train) build_time = time.time() - start start = time.time() explainer(X_test) explain_time = time.time() - start # we always normalize the explain time as though we were explaining 1000 samples # even if to reduce the runtime of the benchmark we do less (like just 100) method_reps.append(build_time + explain_time * 1000.0 / X_test.shape[0]) np.random.seed(old_seed) return None, np.mean(method_reps)	[ "def", "runtime", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ")", ":", "old_seed", "=", "np", ".", "random", ".", "seed", "(", ")", "np", ".", "random", ".", "seed", "(", "3293", ")", "# average the method scores over several train/test splits", "method_reps", "=", "[", "]", "for", "i", "in", "range", "(", "1", ")", ":", "X_train", ",", "X_test", ",", "y_train", ",", "_", "=", "train_test_split", "(", "__toarray", "(", "X", ")", ",", "y", ",", "test_size", "=", "100", ",", "random_state", "=", "i", ")", "# define the model we are going to explain", "model", "=", "model_generator", "(", ")", "model", ".", "fit", "(", "X_train", ",", "y_train", ")", "# evaluate each method", "start", "=", "time", ".", "time", "(", ")", "explainer", "=", "getattr", "(", "methods", ",", "method_name", ")", "(", "model", ",", "X_train", ")", "build_time", "=", "time", ".", "time", "(", ")", "-", "start", "start", "=", "time", ".", "time", "(", ")", "explainer", "(", "X_test", ")", "explain_time", "=", "time", ".", "time", "(", ")", "-", "start", "# we always normalize the explain time as though we were explaining 1000 samples", "# even if to reduce the runtime of the benchmark we do less (like just 100)", "method_reps", ".", "append", "(", "build_time", "+", "explain_time", "*", "1000.0", "/", "X_test", ".", "shape", "[", "0", "]", ")", "np", ".", "random", ".", "seed", "(", "old_seed", ")", "return", "None", ",", "np", ".", "mean", "(", "method_reps", ")" ]	Runtime transform = "negate" sort_order = 1	[ "Runtime", "transform", "=", "negate", "sort_order", "=", "1" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L22-L54	train	Compute the runtime of the given method	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x35' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(0b110011) + '\x32' + chr(1555 - 1502), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101011 + 0o4) + chr(1473 - 1424) + '\063' + chr(819 - 768), 43178 - 43170), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(299 - 248) + chr(0b11001 + 0o35) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(359 - 311) + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11100 + 0o25) + chr(0b110010) + chr(0b1101 + 0o45), 0b1000), ehT0Px3KOsy9(chr(48) + chr(5241 - 5130) + '\064' + chr(0b101011 + 0o5), 1400 - 1392), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(55) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b110111) + chr(51), 39291 - 39283), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100100 + 0o13) + '\062' + chr(0b110000) + chr(55), 62473 - 62465), ehT0Px3KOsy9('\x30' + chr(521 - 410) + '\063' + chr(48) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\x32' + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(1990 - 1879) + chr(49) + chr(0b110101) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + '\062' + '\065' + chr(0b110001), 1265 - 1257), ehT0Px3KOsy9(chr(48) + chr(6859 - 6748) + chr(0b110001) + '\067' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\063' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(8955 - 8844) + chr(0b11010 + 0o30) + '\x36' + '\x37', 28334 - 28326), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(686 - 636) + chr(0b110101) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\060' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(54), 52855 - 52847), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(0b110011) + chr(0b1100 + 0o47) + chr(841 - 791), 13876 - 13868), ehT0Px3KOsy9(chr(378 - 330) + chr(8413 - 8302) + chr(1259 - 1208) + chr(0b110110) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b1111 + 0o44) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\065' + chr(258 - 209), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\x35' + chr(0b11001 + 0o34), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10 + 0o155) + chr(327 - 276) + chr(0b110011) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11010 + 0o125) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(12070 - 11959) + chr(0b110011) + chr(0b11 + 0o64) + '\x32', 10540 - 10532), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\x37' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + '\061' + chr(0b101010 + 0o7), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1126 - 1077) + chr(402 - 347) + chr(0b10100 + 0o34), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3296 - 3185) + '\x32' + chr(50) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110100), 6400 - 6392), ehT0Px3KOsy9(chr(48) + '\x6f' + '\064' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x37' + '\062', 57663 - 57655), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b100110 + 0o20) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(993 - 945) + chr(111) + chr(50) + '\066' + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1474 - 1425) + chr(0b110100) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1323 - 1275) + chr(111) + '\x32' + chr(2142 - 2090) + chr(0b110110), 3531 - 3523)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1947 - 1899) + '\x6f' + '\x35' + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x00'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(0b111 + 0o155) + '\x66' + chr(0b101101) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def EZJlSvt2q83B(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ): j_gGRFcb6_BR = WqUC3KWvYVup.random.seed() xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b']\xb0>\x97'), chr(0b101000 + 0o74) + chr(0b1100101) + chr(0b1100011) + chr(0b1001101 + 0o42) + chr(8675 - 8575) + '\145')(chr(4922 - 4805) + chr(11624 - 11508) + chr(0b1 + 0o145) + '\055' + '\x38'))(ehT0Px3KOsy9(chr(302 - 254) + chr(0b1101111) + chr(2223 - 2169) + chr(0b110011) + '\063' + chr(53), ord("\x08"))) L2ZqvT1Y960F = [] for WVxHKyX45z_L in vQr8gNKaIaWE(ehT0Px3KOsy9('\x30' + chr(7564 - 7453) + '\061', 0b1000)): (lBVWpm3twnT0, iWSGU7PkZMSJ, xz6TaFcNOBti, VNGQdHSFPrso) = nRxlQEWF9nsG(Dh4h_mRaKegh(xEgrFJ0REugl), SqiSOtYOqOJH, test_size=ehT0Px3KOsy9(chr(2282 - 2234) + '\x6f' + chr(0b101001 + 0o10) + chr(52) + chr(0b1000 + 0o54), 0o10), random_state=WVxHKyX45z_L) FK0vqzZ5gPN6 = CfVCrMjfY5ZK() xafqLlk3kkUe(FK0vqzZ5gPN6, xafqLlk3kkUe(SXOLrMavuUCe(b'H\xbc/'), chr(0b1100100) + chr(101) + chr(514 - 415) + chr(4796 - 4685) + chr(0b1100100) + chr(0b1010010 + 0o23))('\165' + chr(116) + chr(0b1100110) + '\x2d' + chr(0b111000)))(lBVWpm3twnT0, xz6TaFcNOBti) avRbFsnfJxQj = ltvhPP4VhXre.time() l8QhvN2eFU9K = xafqLlk3kkUe(ei_WkXhIFGHj, kXYCGf8FzWpJ)(FK0vqzZ5gPN6, lBVWpm3twnT0) weC5JfdHjSQj = ltvhPP4VhXre.time() - avRbFsnfJxQj avRbFsnfJxQj = ltvhPP4VhXre.time() l8QhvN2eFU9K(iWSGU7PkZMSJ) oKR5RfiFUnbw = ltvhPP4VhXre.time() - avRbFsnfJxQj xafqLlk3kkUe(L2ZqvT1Y960F, xafqLlk3kkUe(SXOLrMavuUCe(b'O\xa5+\x96(6'), chr(100) + chr(101) + chr(99) + chr(0b1101111) + chr(100) + chr(101))(chr(0b111111 + 0o66) + '\x74' + '\x66' + chr(1833 - 1788) + '\070'))(weC5JfdHjSQj + oKR5RfiFUnbw * 1000.0 / xafqLlk3kkUe(iWSGU7PkZMSJ, xafqLlk3kkUe(SXOLrMavuUCe(b'@\xb4.\xaa \x1eG\x16/\xf7\xa7\xf7'), chr(0b110001 + 0o63) + chr(101) + chr(0b111110 + 0o45) + chr(0b1101111) + '\x64' + chr(0b111010 + 0o53))('\165' + '\x74' + chr(102) + chr(45) + '\x38'))[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x30', 0o10)]) xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b']\xb0>\x97'), chr(9999 - 9899) + '\x65' + chr(0b1010101 + 0o16) + chr(0b1011011 + 0o24) + '\144' + chr(1287 - 1186))(chr(8367 - 8250) + '\164' + chr(0b1110 + 0o130) + chr(45) + chr(56)))(j_gGRFcb6_BR) return (None, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'O\x9f3\xba2\x11\x7f,\x1a\xf0\xa8\xe2'), chr(0b101000 + 0o74) + chr(9272 - 9171) + '\x63' + '\x6f' + '\144' + chr(101))(chr(117) + '\164' + chr(0b0 + 0o146) + chr(0b1101 + 0o40) + chr(0b111000)))(L2ZqvT1Y960F))
slundberg/shap	shap/benchmark/metrics.py	local_accuracy	def local_accuracy(X, y, model_generator, method_name): """ Local Accuracy transform = "identity" sort_order = 2 """ def score_map(true, pred): """ Converts local accuracy from % of standard deviation to numerical scores for coloring. """ v = min(1.0, np.std(pred - true) / (np.std(true) + 1e-8)) if v < 1e-6: return 1.0 elif v < 0.01: return 0.9 elif v < 0.05: return 0.75 elif v < 0.1: return 0.6 elif v < 0.2: return 0.4 elif v < 0.3: return 0.3 elif v < 0.5: return 0.2 elif v < 0.7: return 0.1 else: return 0.0 def score_function(X_train, X_test, y_train, y_test, attr_function, trained_model, random_state): return measures.local_accuracy( X_train, y_train, X_test, y_test, attr_function(X_test), model_generator, score_map, trained_model ) return None, __score_method(X, y, None, model_generator, score_function, method_name)	python	def local_accuracy(X, y, model_generator, method_name): """ Local Accuracy transform = "identity" sort_order = 2 """ def score_map(true, pred): """ Converts local accuracy from % of standard deviation to numerical scores for coloring. """ v = min(1.0, np.std(pred - true) / (np.std(true) + 1e-8)) if v < 1e-6: return 1.0 elif v < 0.01: return 0.9 elif v < 0.05: return 0.75 elif v < 0.1: return 0.6 elif v < 0.2: return 0.4 elif v < 0.3: return 0.3 elif v < 0.5: return 0.2 elif v < 0.7: return 0.1 else: return 0.0 def score_function(X_train, X_test, y_train, y_test, attr_function, trained_model, random_state): return measures.local_accuracy( X_train, y_train, X_test, y_test, attr_function(X_test), model_generator, score_map, trained_model ) return None, __score_method(X, y, None, model_generator, score_function, method_name)	[ "def", "local_accuracy", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ")", ":", "def", "score_map", "(", "true", ",", "pred", ")", ":", "\"\"\" Converts local accuracy from % of standard deviation to numerical scores for coloring.\n \"\"\"", "v", "=", "min", "(", "1.0", ",", "np", ".", "std", "(", "pred", "-", "true", ")", "/", "(", "np", ".", "std", "(", "true", ")", "+", "1e-8", ")", ")", "if", "v", "<", "1e-6", ":", "return", "1.0", "elif", "v", "<", "0.01", ":", "return", "0.9", "elif", "v", "<", "0.05", ":", "return", "0.75", "elif", "v", "<", "0.1", ":", "return", "0.6", "elif", "v", "<", "0.2", ":", "return", "0.4", "elif", "v", "<", "0.3", ":", "return", "0.3", "elif", "v", "<", "0.5", ":", "return", "0.2", "elif", "v", "<", "0.7", ":", "return", "0.1", "else", ":", "return", "0.0", "def", "score_function", "(", "X_train", ",", "X_test", ",", "y_train", ",", "y_test", ",", "attr_function", ",", "trained_model", ",", "random_state", ")", ":", "return", "measures", ".", "local_accuracy", "(", "X_train", ",", "y_train", ",", "X_test", ",", "y_test", ",", "attr_function", "(", "X_test", ")", ",", "model_generator", ",", "score_map", ",", "trained_model", ")", "return", "None", ",", "__score_method", "(", "X", ",", "y", ",", "None", ",", "model_generator", ",", "score_function", ",", "method_name", ")" ]	Local Accuracy transform = "identity" sort_order = 2	[ "Local", "Accuracy", "transform", "=", "identity", "sort_order", "=", "2" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L56-L90	train	Local Accuracy estimator.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(330 - 280) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(8534 - 8423) + '\061' + chr(2120 - 2066), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b111 + 0o53) + chr(1094 - 1042) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(48) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(913 - 864) + chr(0b11 + 0o64), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1696 - 1646) + chr(51) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(332 - 279) + chr(1969 - 1914), 0b1000), ehT0Px3KOsy9(chr(2260 - 2212) + chr(111) + chr(0b110010) + chr(2346 - 2294) + '\x37', 39494 - 39486), ehT0Px3KOsy9('\x30' + chr(8705 - 8594) + '\067' + '\x35', 0b1000), ehT0Px3KOsy9(chr(748 - 700) + chr(111) + chr(2410 - 2360) + chr(0b110000) + '\060', 30593 - 30585), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1101 + 0o45) + '\061' + chr(1018 - 963), 38081 - 38073), ehT0Px3KOsy9(chr(1786 - 1738) + '\157' + '\x31' + chr(0b110010) + chr(0b0 + 0o67), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1176 - 1065) + chr(0b11001 + 0o31) + '\067' + chr(0b1110 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\x36' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\064' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7917 - 7806) + chr(0b110001) + '\x34' + chr(0b1100 + 0o50), 35316 - 35308), ehT0Px3KOsy9('\060' + chr(7413 - 7302) + chr(2457 - 2406) + chr(1542 - 1492), 45955 - 45947), ehT0Px3KOsy9(chr(2019 - 1971) + chr(111) + chr(0b100011 + 0o20) + chr(0b1001 + 0o53) + chr(0b101000 + 0o13), 44025 - 44017), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\x32' + chr(0b101 + 0o56), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b110000) + chr(263 - 210), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100100 + 0o13) + chr(0b11000 + 0o32) + chr(52) + chr(715 - 660), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(2139 - 2087), 1445 - 1437), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + chr(0b1100 + 0o45) + '\061' + chr(197 - 148), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7227 - 7116) + chr(2510 - 2455) + chr(0b11101 + 0o24), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + chr(49) + chr(3015 - 2960) + chr(2149 - 2100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100110 + 0o11) + chr(49) + chr(54) + chr(2129 - 2080), 52428 - 52420), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101100 + 0o3) + chr(0b110010) + chr(54) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + '\062' + '\066' + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\067' + chr(1829 - 1780), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(1924 - 1876) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(2167 - 2119) + '\x6f' + chr(0b110011) + chr(1161 - 1110) + chr(0b1111 + 0o47), 41104 - 41096), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\064' + chr(496 - 446), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\063' + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(4268 - 4157) + '\063' + chr(1996 - 1946) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(4210 - 4099) + chr(50) + '\x32' + '\064', 55112 - 55104), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b110010) + '\067', 8), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(343 - 288) + chr(0b100 + 0o61), 8), ehT0Px3KOsy9(chr(179 - 131) + chr(0b1101110 + 0o1) + chr(50) + chr(0b110110) + '\060', 8), ehT0Px3KOsy9(chr(1564 - 1516) + '\157' + chr(51) + '\066' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b111 + 0o53) + chr(53) + '\x37', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110101) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'}'), '\144' + chr(0b101100 + 0o71) + '\x63' + '\157' + '\144' + chr(0b1111 + 0o126))(chr(1833 - 1716) + chr(116) + chr(102) + chr(0b101011 + 0o2) + chr(0b11001 + 0o37)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Jt22kY7zxz7N(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ): def MMr92XaSv5_r(pZjlIgUeCnXc, eyamnrN0elUS): cMbll0QYhULo = Dx22bkKPdt5d(1.0, WqUC3KWvYVup.o3E_VFExiNOk(eyamnrN0elUS - pZjlIgUeCnXc) / (WqUC3KWvYVup.o3E_VFExiNOk(pZjlIgUeCnXc) + 1e-08)) if cMbll0QYhULo < 1e-06: return 1.0 elif cMbll0QYhULo < 0.01: return 0.9 elif cMbll0QYhULo < 0.05: return 0.75 elif cMbll0QYhULo < 0.1: return 0.6 elif cMbll0QYhULo < 0.2: return 0.4 elif cMbll0QYhULo < 0.3: return 0.3 elif cMbll0QYhULo < 0.5: return 0.2 elif cMbll0QYhULo < 0.7: return 0.1 else: return 0.0 def hoEJOD1eSV7c(lBVWpm3twnT0, iWSGU7PkZMSJ, xz6TaFcNOBti, Gmt2Yn1ASYcs, cHkRRKvYHQDq, Tzv4TDowegEA, KmuRhNvLygn2): return xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'?a\xc6\xa0#\xc5N\xc4^\xf5\xfd6\xde\xc9'), chr(0b1100100) + chr(0b1010111 + 0o16) + '\x63' + '\x6f' + chr(100) + '\x65')(chr(117) + '\164' + chr(0b1100110) + chr(1471 - 1426) + chr(0b110001 + 0o7)))(lBVWpm3twnT0, xz6TaFcNOBti, iWSGU7PkZMSJ, Gmt2Yn1ASYcs, cHkRRKvYHQDq(iWSGU7PkZMSJ), CfVCrMjfY5ZK, MMr92XaSv5_r, Tzv4TDowegEA) return (None, ghBJDbCmnOd1(xEgrFJ0REugl, SqiSOtYOqOJH, None, CfVCrMjfY5ZK, hoEJOD1eSV7c, kXYCGf8FzWpJ))
slundberg/shap	shap/benchmark/metrics.py	keep_negative_mask	def keep_negative_mask(X, y, model_generator, method_name, num_fcounts=11): """ Keep Negative (mask) xlabel = "Max fraction of features kept" ylabel = "Negative mean model output" transform = "negate" sort_order = 5 """ return __run_measure(measures.keep_mask, X, y, model_generator, method_name, -1, num_fcounts, __mean_pred)	python	def keep_negative_mask(X, y, model_generator, method_name, num_fcounts=11): """ Keep Negative (mask) xlabel = "Max fraction of features kept" ylabel = "Negative mean model output" transform = "negate" sort_order = 5 """ return __run_measure(measures.keep_mask, X, y, model_generator, method_name, -1, num_fcounts, __mean_pred)	[ "def", "keep_negative_mask", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "keep_mask", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "-", "1", ",", "num_fcounts", ",", "__mean_pred", ")" ]	Keep Negative (mask) xlabel = "Max fraction of features kept" ylabel = "Negative mean model output" transform = "negate" sort_order = 5	[ "Keep", "Negative", "(", "mask", ")", "xlabel", "=", "Max", "fraction", "of", "features", "kept", "ylabel", "=", "Negative", "mean", "model", "output", "transform", "=", "negate", "sort_order", "=", "5" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L135-L142	train	Keep negative features.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(737 - 689) + chr(111) + chr(0b110011) + chr(0b10100 + 0o41) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101001 + 0o10) + chr(53) + chr(53), 24043 - 24035), ehT0Px3KOsy9('\x30' + chr(7543 - 7432) + chr(0b110001) + chr(0b110101) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(54) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(584 - 536) + chr(0b1101111) + chr(0b110001) + chr(0b110111) + '\060', 16686 - 16678), ehT0Px3KOsy9(chr(48) + chr(0b111111 + 0o60) + chr(50) + '\x33' + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101011 + 0o4) + '\x33' + chr(0b10110 + 0o40) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101 + 0o61) + chr(1526 - 1471), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(49) + '\x32', 43030 - 43022), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53) + chr(0b100011 + 0o24), 0o10), ehT0Px3KOsy9(chr(48) + chr(3227 - 3116) + chr(0b10100 + 0o35) + chr(0b110101) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(49) + chr(0b1 + 0o57), 56354 - 56346), ehT0Px3KOsy9('\x30' + chr(0b1010010 + 0o35) + chr(50) + chr(1214 - 1160) + chr(48), 54137 - 54129), ehT0Px3KOsy9(chr(952 - 904) + chr(111) + chr(55), 0o10), ehT0Px3KOsy9(chr(826 - 778) + chr(0b1111 + 0o140) + '\062' + '\x34' + chr(54), 0o10), ehT0Px3KOsy9(chr(1487 - 1439) + chr(0b1101111) + chr(49) + '\064', 0o10), ehT0Px3KOsy9(chr(207 - 159) + '\x6f' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + '\063' + '\060' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(50) + chr(0b110010) + chr(54), 10203 - 10195), ehT0Px3KOsy9(chr(48) + chr(0b1011011 + 0o24) + '\066' + chr(451 - 401), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1001011 + 0o44) + chr(0b110001) + '\x30' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1347 - 1299) + chr(0b1101111) + chr(0b11110 + 0o24) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(55 - 6) + chr(52) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b1 + 0o65) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + '\x37' + '\066', 53333 - 53325), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x30' + chr(649 - 601), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100101 + 0o12) + chr(2311 - 2261) + chr(50) + chr(0b110011 + 0o4), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(49) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + chr(50) + chr(0b110111) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(50) + chr(0b110010) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110111) + chr(376 - 324), 57779 - 57771), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b101 + 0o57) + chr(2146 - 2094), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2020 - 1972), 0o10), ehT0Px3KOsy9(chr(1805 - 1757) + chr(111) + '\062' + chr(0b110100) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1556 - 1505) + '\061' + '\x32', 8), ehT0Px3KOsy9('\x30' + chr(1214 - 1103) + chr(50) + chr(2608 - 2553) + chr(0b101010 + 0o15), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(51) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(1902 - 1851) + chr(0b110000), 29121 - 29113), ehT0Px3KOsy9('\060' + chr(5586 - 5475) + chr(0b10101 + 0o41) + chr(1824 - 1770), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100100 + 0o17) + '\063' + chr(989 - 941), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + '\065' + chr(0b100 + 0o54), 24196 - 24188)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2'), '\144' + chr(0b1100101) + chr(2589 - 2490) + chr(507 - 396) + chr(0b1100100) + '\x65')('\x75' + '\x74' + chr(6306 - 6204) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def fHEzvSgSmt0V(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9(chr(1501 - 1453) + chr(0b1101111) + chr(0b11000 + 0o31) + chr(1818 - 1767), 18055 - 18047)): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b"\x87\x08\r\xc6'\xf7\x95D\xa1"), chr(0b1100100) + chr(0b1100101) + chr(5715 - 5616) + '\x6f' + chr(0b1011000 + 0o14) + chr(0b1100010 + 0o3))(chr(0b100001 + 0o124) + chr(116) + chr(2195 - 2093) + '\055' + chr(0b111000))), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, -ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(713 - 664), 0b1000), Lm3YAkMr8_zu, vsQEwoF6xUhH)
slundberg/shap	shap/benchmark/metrics.py	keep_absolute_mask__r2	def keep_absolute_mask__r2(X, y, model_generator, method_name, num_fcounts=11): """ Keep Absolute (mask) xlabel = "Max fraction of features kept" ylabel = "R^2" transform = "identity" sort_order = 6 """ return __run_measure(measures.keep_mask, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.r2_score)	python	def keep_absolute_mask__r2(X, y, model_generator, method_name, num_fcounts=11): """ Keep Absolute (mask) xlabel = "Max fraction of features kept" ylabel = "R^2" transform = "identity" sort_order = 6 """ return __run_measure(measures.keep_mask, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.r2_score)	[ "def", "keep_absolute_mask__r2", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "keep_mask", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "0", ",", "num_fcounts", ",", "sklearn", ".", "metrics", ".", "r2_score", ")" ]	Keep Absolute (mask) xlabel = "Max fraction of features kept" ylabel = "R^2" transform = "identity" sort_order = 6	[ "Keep", "Absolute", "(", "mask", ")", "xlabel", "=", "Max", "fraction", "of", "features", "kept", "ylabel", "=", "R^2", "transform", "=", "identity", "sort_order", "=", "6" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L144-L151	train	Keep absolute mask	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(1058 - 1009) + chr(0b11110 + 0o24), 0b1000), ehT0Px3KOsy9(chr(1660 - 1612) + chr(111) + '\x34' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\x36' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b0 + 0o157) + chr(367 - 317) + chr(2223 - 2170), ord("\x08")), ehT0Px3KOsy9(chr(832 - 784) + '\157' + chr(0b110010) + chr(1355 - 1304) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101 + 0o142) + chr(2057 - 2006) + '\x32' + chr(0b11010 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + '\062' + chr(1376 - 1322) + chr(0b10010 + 0o44), 0o10), ehT0Px3KOsy9(chr(1957 - 1909) + chr(6601 - 6490) + '\065' + chr(2639 - 2585), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\061' + chr(1809 - 1761), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b110101) + chr(0b10101 + 0o33), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(1283 - 1230) + chr(0b110110 + 0o0), 58855 - 58847), ehT0Px3KOsy9('\060' + chr(0b10101 + 0o132) + '\x33' + chr(0b110001 + 0o6) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(234 - 123) + chr(0b101001 + 0o11) + chr(1457 - 1409) + chr(939 - 884), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(2364 - 2309) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(55) + chr(0b10001 + 0o45), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\063' + chr(704 - 653), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(48) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(491 - 440) + chr(52) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + '\062' + chr(2250 - 2195) + chr(0b110001 + 0o3), 47318 - 47310), ehT0Px3KOsy9(chr(48) + chr(6325 - 6214) + '\x35' + chr(0b11110 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b110101) + chr(0b11001 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\067' + chr(0b10101 + 0o36), 44277 - 44269), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + chr(51) + '\065' + chr(126 - 74), 4124 - 4116), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(49) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\x31' + chr(2289 - 2240), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10165 - 10054) + chr(49) + '\061' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(0b101 + 0o56) + chr(718 - 663), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + chr(1928 - 1877) + chr(0b10011 + 0o43) + chr(0b11001 + 0o32), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11101 + 0o25) + chr(54) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(1980 - 1932) + '\157' + chr(0b0 + 0o62) + chr(1660 - 1608) + chr(51), 2670 - 2662), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062', 65072 - 65064), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(55) + chr(1400 - 1349), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(0b110001) + '\063' + chr(2233 - 2184), 0b1000), ehT0Px3KOsy9(chr(1123 - 1075) + chr(0b1101111) + chr(1708 - 1657) + '\x33' + chr(613 - 564), 64372 - 64364), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b1100 + 0o45) + chr(53) + chr(117 - 68), 28285 - 28277), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(53) + chr(0b11111 + 0o30), 48351 - 48343), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(7245 - 7134) + chr(50) + '\x31' + chr(381 - 331), 8), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(0b100110 + 0o14) + '\063' + '\x30', 6811 - 6803), ehT0Px3KOsy9('\060' + chr(7637 - 7526) + '\x33' + chr(0b110010) + chr(0b1101 + 0o45), 0o10), ehT0Px3KOsy9(chr(602 - 554) + chr(0b1101111) + chr(0b110010) + '\x36' + chr(52), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1966 - 1913) + chr(342 - 294), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4'), chr(100) + chr(101) + chr(8017 - 7918) + chr(0b1101111) + chr(0b1100100) + '\x65')('\x75' + chr(0b1110100) + chr(0b1001010 + 0o34) + chr(0b100011 + 0o12) + chr(1944 - 1888)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def PVK4T0rBm9pe(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9('\060' + chr(6340 - 6229) + chr(0b100101 + 0o14) + chr(0b110011), 60469 - 60461)): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1@\x14e\xc1\xbd\xd7]\xe3'), '\144' + chr(1093 - 992) + chr(0b1011000 + 0o13) + chr(111) + chr(0b1100100) + chr(0b111011 + 0o52))(chr(0b1110101) + chr(6393 - 6277) + '\x66' + chr(45) + chr(0b111000))), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + '\060', 34461 - 34453), Lm3YAkMr8_zu, xafqLlk3kkUe(U_a7OzgTlwvr.metrics, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\x17.f\xfd\xbf\xc4K'), '\x64' + '\x65' + chr(99) + '\x6f' + chr(0b1101 + 0o127) + chr(0b101 + 0o140))(chr(11278 - 11161) + chr(0b101000 + 0o114) + chr(102) + chr(0b101101) + chr(2614 - 2558))))
slundberg/shap	shap/benchmark/metrics.py	remove_positive_mask	def remove_positive_mask(X, y, model_generator, method_name, num_fcounts=11): """ Remove Positive (mask) xlabel = "Max fraction of features removed" ylabel = "Negative mean model output" transform = "negate" sort_order = 7 """ return __run_measure(measures.remove_mask, X, y, model_generator, method_name, 1, num_fcounts, __mean_pred)	python	def remove_positive_mask(X, y, model_generator, method_name, num_fcounts=11): """ Remove Positive (mask) xlabel = "Max fraction of features removed" ylabel = "Negative mean model output" transform = "negate" sort_order = 7 """ return __run_measure(measures.remove_mask, X, y, model_generator, method_name, 1, num_fcounts, __mean_pred)	[ "def", "remove_positive_mask", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "remove_mask", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "1", ",", "num_fcounts", ",", "__mean_pred", ")" ]	Remove Positive (mask) xlabel = "Max fraction of features removed" ylabel = "Negative mean model output" transform = "negate" sort_order = 7	[ "Remove", "Positive", "(", "mask", ")", "xlabel", "=", "Max", "fraction", "of", "features", "removed", "ylabel", "=", "Negative", "mean", "model", "output", "transform", "=", "negate", "sort_order", "=", "7" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L162-L169	train	Remove positive features.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1000001 + 0o56) + chr(0b11110 + 0o25) + chr(0b101011 + 0o11) + chr(0b101000 + 0o14), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b10 + 0o56) + chr(905 - 856), 47524 - 47516), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2491 - 2440) + chr(0b10100 + 0o40), 33352 - 33344), ehT0Px3KOsy9(chr(2213 - 2165) + '\x6f' + chr(49) + chr(0b110101) + chr(0b110100), 47129 - 47121), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b110011) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1780 - 1729) + chr(580 - 526) + chr(1444 - 1396), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(0b110001) + chr(1903 - 1854) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1693 - 1582) + '\063' + chr(0b110100), 8), ehT0Px3KOsy9(chr(48) + chr(4802 - 4691) + '\061' + chr(2486 - 2431) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(641 - 587), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(0b11010 + 0o27) + '\064' + chr(0b110010 + 0o0), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11001 + 0o32) + chr(0b101111 + 0o10) + chr(2063 - 2010), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(1118 - 1066), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\062' + chr(809 - 756), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b100111 + 0o12) + chr(0b100100 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(1787 - 1739) + chr(0b1000010 + 0o55) + chr(0b11001 + 0o36) + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b101010 + 0o12) + chr(0b110100 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(8623 - 8512) + '\062' + chr(461 - 408) + chr(0b11110 + 0o24), 0b1000), ehT0Px3KOsy9(chr(1972 - 1924) + chr(0b1101111) + chr(49) + chr(0b110000 + 0o7) + chr(52), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1101 + 0o46) + chr(0b10 + 0o61) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(3549 - 3438) + chr(1714 - 1664) + chr(0b110000) + chr(902 - 847), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(1964 - 1915) + '\x36' + chr(54), 15323 - 15315), ehT0Px3KOsy9(chr(48) + '\157' + chr(137 - 87) + chr(321 - 270), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + '\061' + '\067' + chr(1682 - 1632), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(2518 - 2467) + chr(1134 - 1082) + '\x37', 48741 - 48733), ehT0Px3KOsy9(chr(674 - 626) + '\157' + chr(0b110010) + chr(1524 - 1475) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(54) + chr(0b110101 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(176 - 128) + chr(0b1101111) + chr(51) + '\066' + '\060', 8), ehT0Px3KOsy9('\060' + chr(10380 - 10269) + chr(0b10 + 0o60) + '\x31' + chr(1011 - 959), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2097 - 2046) + chr(0b10 + 0o64), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b101101 + 0o7) + chr(54), 51304 - 51296), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(7190 - 7079) + chr(0b100111 + 0o13) + '\x34' + chr(2650 - 2595), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b100010 + 0o115) + chr(0b110111) + chr(0b110001 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + '\x31' + chr(0b110011) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(3603 - 3492) + chr(0b11110 + 0o25) + chr(0b11 + 0o55) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(51) + chr(50), 0b1000), ehT0Px3KOsy9(chr(1662 - 1614) + '\x6f' + chr(53) + chr(0b10110 + 0o37), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\x34' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10110 + 0o33) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\x35', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + '\x35' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xca'), '\x64' + chr(0b1010000 + 0o25) + '\143' + chr(0b111101 + 0o62) + chr(0b11110 + 0o106) + chr(6237 - 6136))(chr(0b1010100 + 0o41) + chr(116) + chr(0b1010001 + 0o25) + '\055' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def VJaHQZB7ga2_(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9(chr(2021 - 1973) + '\x6f' + '\061' + '\x33', 2467 - 2459)): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'\x96$q\x03(\x95\x11q\x1de\t'), chr(0b1100100) + chr(1595 - 1494) + '\143' + chr(0b10110 + 0o131) + chr(0b111101 + 0o47) + chr(0b1000100 + 0o41))(chr(12394 - 12277) + chr(116) + chr(102) + chr(0b101101) + '\070')), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061', 0b1000), Lm3YAkMr8_zu, vsQEwoF6xUhH)
slundberg/shap	shap/benchmark/metrics.py	remove_absolute_mask__r2	def remove_absolute_mask__r2(X, y, model_generator, method_name, num_fcounts=11): """ Remove Absolute (mask) xlabel = "Max fraction of features removed" ylabel = "1 - R^2" transform = "one_minus" sort_order = 9 """ return __run_measure(measures.remove_mask, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.r2_score)	python	def remove_absolute_mask__r2(X, y, model_generator, method_name, num_fcounts=11): """ Remove Absolute (mask) xlabel = "Max fraction of features removed" ylabel = "1 - R^2" transform = "one_minus" sort_order = 9 """ return __run_measure(measures.remove_mask, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.r2_score)	[ "def", "remove_absolute_mask__r2", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "remove_mask", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "0", ",", "num_fcounts", ",", "sklearn", ".", "metrics", ".", "r2_score", ")" ]	Remove Absolute (mask) xlabel = "Max fraction of features removed" ylabel = "1 - R^2" transform = "one_minus" sort_order = 9	[ "Remove", "Absolute", "(", "mask", ")", "xlabel", "=", "Max", "fraction", "of", "features", "removed", "ylabel", "=", "1", "-", "R^2", "transform", "=", "one_minus", "sort_order", "=", "9" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L180-L187	train	Remove absolute features.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(274 - 226) + '\x6f' + '\061' + chr(51 - 3) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(52) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(2645 - 2592), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(1638 - 1588) + chr(0b101010 + 0o14) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100 + 0o143) + '\061' + chr(0b100001 + 0o24) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b110111) + chr(556 - 503), 0o10), ehT0Px3KOsy9(chr(217 - 169) + chr(0b1101111) + '\x33' + '\064' + chr(1341 - 1292), 63606 - 63598), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + chr(0b11101 + 0o30) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(378 - 330) + chr(0b0 + 0o157) + chr(0b110011) + chr(1248 - 1197) + chr(0b110011 + 0o2), 0o10), ehT0Px3KOsy9(chr(339 - 291) + '\157' + chr(1840 - 1790) + chr(0b1010 + 0o46) + '\063', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(225 - 175) + chr(0b1 + 0o62) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1549 - 1501) + chr(0b1101111) + chr(0b110011) + chr(54) + chr(51), 57188 - 57180), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(622 - 570) + '\x37', 33948 - 33940), ehT0Px3KOsy9('\x30' + '\157' + '\065' + chr(0b110000 + 0o1), 12271 - 12263), ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + chr(0b10111 + 0o34) + chr(54) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(1893 - 1843) + '\065' + '\x32', 58790 - 58782), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b110011) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(320 - 271) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(879 - 831) + '\x6f' + chr(0b110010) + chr(0b11000 + 0o32), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b100110 + 0o13) + chr(1442 - 1389), ord("\x08")), ehT0Px3KOsy9(chr(1268 - 1220) + chr(0b1101111) + chr(0b11000 + 0o33) + chr(52) + chr(84 - 29), 0o10), ehT0Px3KOsy9('\060' + chr(7977 - 7866) + chr(51) + chr(1874 - 1820) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\063' + '\065', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\x31' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(1409 - 1361) + '\157' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(2032 - 1980) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\x36' + chr(0b1110 + 0o42), 8), ehT0Px3KOsy9(chr(0b110000) + chr(4404 - 4293) + chr(0b110011) + chr(50) + chr(0b110101), 46572 - 46564), ehT0Px3KOsy9('\060' + chr(4956 - 4845) + chr(621 - 571) + chr(0b110101) + chr(2807 - 2754), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(2528 - 2477) + '\060' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(299 - 249) + '\x33' + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b11101 + 0o27) + chr(0b1011 + 0o45), 39540 - 39532), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(2085 - 2034) + chr(0b110101), 9730 - 9722), ehT0Px3KOsy9(chr(48) + chr(0b1001100 + 0o43) + '\x31' + chr(0b110000) + chr(54), 8750 - 8742), ehT0Px3KOsy9(chr(1084 - 1036) + '\x6f' + chr(0b1110 + 0o44) + chr(0b100100 + 0o16) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(54) + chr(52), 1002 - 994), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\064' + chr(0b100011 + 0o20), 0b1000), ehT0Px3KOsy9(chr(145 - 97) + chr(0b1101111) + chr(0b110100) + chr(52), 0b1000), ehT0Px3KOsy9(chr(580 - 532) + '\x6f' + chr(0b100100 + 0o16) + chr(0b11111 + 0o25) + '\067', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1000 + 0o55) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'k'), chr(100) + chr(0b1100101) + '\143' + '\157' + '\144' + chr(0b110011 + 0o62))(chr(117) + chr(116) + '\146' + chr(0b101101) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def qpFR_kzZCZH1(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(587 - 536), 0b1000)): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'7rHb\xc5\x0f\xa2\x8cO\xae\xe8'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(4347 - 4247) + chr(0b1100101))(chr(9593 - 9476) + '\164' + chr(0b10011 + 0o123) + chr(107 - 62) + chr(0b111000))), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(0b101100 + 0o4), 2628 - 2620), Lm3YAkMr8_zu, xafqLlk3kkUe(U_a7OzgTlwvr.metrics, xafqLlk3kkUe(SXOLrMavuUCe(b'7%z~\xd0\x05\x8f\x84'), chr(100) + chr(101) + '\x63' + '\157' + chr(0b1100100) + chr(0b1100101))('\x75' + '\164' + '\x66' + chr(45) + chr(1462 - 1406))))
slundberg/shap	shap/benchmark/metrics.py	keep_negative_resample	def keep_negative_resample(X, y, model_generator, method_name, num_fcounts=11): """ Keep Negative (resample) xlabel = "Max fraction of features kept" ylabel = "Negative mean model output" transform = "negate" sort_order = 11 """ return __run_measure(measures.keep_resample, X, y, model_generator, method_name, -1, num_fcounts, __mean_pred)	python	def keep_negative_resample(X, y, model_generator, method_name, num_fcounts=11): """ Keep Negative (resample) xlabel = "Max fraction of features kept" ylabel = "Negative mean model output" transform = "negate" sort_order = 11 """ return __run_measure(measures.keep_resample, X, y, model_generator, method_name, -1, num_fcounts, __mean_pred)	[ "def", "keep_negative_resample", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "keep_resample", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "-", "1", ",", "num_fcounts", ",", "__mean_pred", ")" ]	Keep Negative (resample) xlabel = "Max fraction of features kept" ylabel = "Negative mean model output" transform = "negate" sort_order = 11	[ "Keep", "Negative", "(", "resample", ")", "xlabel", "=", "Max", "fraction", "of", "features", "kept", "ylabel", "=", "Negative", "mean", "model", "output", "transform", "=", "negate", "sort_order", "=", "11" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L207-L214	train	Keep negative resampling	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + chr(127 - 78) + chr(1128 - 1078) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\x34' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(1500 - 1452) + chr(0b101110 + 0o101) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b11 + 0o63) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(481 - 433) + chr(0b1101111) + chr(50) + '\x31' + chr(1491 - 1436), 51126 - 51118), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b110010) + chr(0b110101 + 0o0), 58794 - 58786), ehT0Px3KOsy9(chr(48) + chr(0b111010 + 0o65) + '\063' + chr(0b1010 + 0o46) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(10542 - 10431) + '\062' + chr(0b1 + 0o65) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(4404 - 4293) + chr(1334 - 1285) + chr(52) + chr(597 - 546), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x34' + chr(1406 - 1353), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b100 + 0o63) + chr(1100 - 1046), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(50) + chr(0b110001 + 0o2) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7628 - 7517) + chr(49) + '\065' + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(1299 - 1251), 54473 - 54465), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\062' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1630 - 1581) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1468 - 1419) + '\x33' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011100 + 0o23) + chr(0b110011) + chr(2042 - 1994) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(55) + '\060', 53879 - 53871), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(3212 - 3101) + chr(0b1001 + 0o52) + chr(0b110111) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10 + 0o60) + '\x35' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(7332 - 7221) + chr(0b101 + 0o60) + chr(48), 63321 - 63313), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\060' + '\064', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(976 - 926) + chr(50) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(2271 - 2222) + chr(54) + chr(48), 8), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b101011 + 0o104) + '\061' + chr(0b11000 + 0o34) + chr(1901 - 1852), 23653 - 23645), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1 + 0o62) + chr(0b110110) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(348 - 300) + '\x6f' + chr(0b110011) + chr(0b10110 + 0o36) + chr(2499 - 2445), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b1011 + 0o45) + chr(0b11010 + 0o27), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b11100 + 0o25) + chr(0b110100) + '\062', 27847 - 27839), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\065' + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + '\062' + chr(54) + chr(0b101100 + 0o13), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(0b11000 + 0o32) + chr(0b110010) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b10100 + 0o133) + chr(0b10101 + 0o36) + chr(2352 - 2303) + chr(944 - 892), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b110110 + 0o1) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + '\063' + '\064' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100010 + 0o115) + chr(0b100010 + 0o17) + '\060' + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(48) + '\x35', 8), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(1745 - 1696) + '\x31' + chr(1486 - 1437), 60441 - 60433), ehT0Px3KOsy9(chr(2192 - 2144) + chr(111) + chr(0b110101) + chr(53), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + '\065' + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\|'), '\x64' + chr(0b1100101) + chr(0b1010001 + 0o22) + chr(0b1101111) + '\x64' + chr(0b111110 + 0o47))(chr(0b1101000 + 0o15) + '\x74' + '\x66' + '\055' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def S1TrC8kgaQkd(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2263 - 2214) + chr(0b101001 + 0o12), 0b1000)): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'9\x83d\x00\xd0g\xa1\xc5\x02H\x0e\xf0\x0e'), '\x64' + chr(101) + chr(99) + chr(0b1101111) + '\x64' + chr(0b10101 + 0o120))(chr(117) + chr(6166 - 6050) + '\146' + chr(0b10001 + 0o34) + '\070')), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, -ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001), 8), Lm3YAkMr8_zu, vsQEwoF6xUhH)
slundberg/shap	shap/benchmark/metrics.py	keep_absolute_resample__r2	def keep_absolute_resample__r2(X, y, model_generator, method_name, num_fcounts=11): """ Keep Absolute (resample) xlabel = "Max fraction of features kept" ylabel = "R^2" transform = "identity" sort_order = 12 """ return __run_measure(measures.keep_resample, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.r2_score)	python	def keep_absolute_resample__r2(X, y, model_generator, method_name, num_fcounts=11): """ Keep Absolute (resample) xlabel = "Max fraction of features kept" ylabel = "R^2" transform = "identity" sort_order = 12 """ return __run_measure(measures.keep_resample, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.r2_score)	[ "def", "keep_absolute_resample__r2", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "keep_resample", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "0", ",", "num_fcounts", ",", "sklearn", ".", "metrics", ".", "r2_score", ")" ]	Keep Absolute (resample) xlabel = "Max fraction of features kept" ylabel = "R^2" transform = "identity" sort_order = 12	[ "Keep", "Absolute", "(", "resample", ")", "xlabel", "=", "Max", "fraction", "of", "features", "kept", "ylabel", "=", "R^2", "transform", "=", "identity", "sort_order", "=", "12" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L216-L223	train	Keep absolute resampling.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(748 - 700) + chr(0b10 + 0o155) + chr(0b110011) + '\x31' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + chr(0b100101 + 0o20) + chr(0b100 + 0o56), 0b1000), ehT0Px3KOsy9('\x30' + chr(9390 - 9279) + chr(796 - 747) + chr(0b110101) + '\x36', 44237 - 44229), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\062' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(7037 - 6926) + chr(1851 - 1801) + '\x31' + chr(423 - 373), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(1051 - 1000) + chr(0b11 + 0o56) + chr(0b101111 + 0o4), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\067' + '\067', 62946 - 62938), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10010 + 0o37) + chr(0b110111) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1870 - 1820) + chr(55) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1223 - 1175) + '\x6f' + chr(0b11011 + 0o30) + chr(97 - 48) + chr(0b1101 + 0o52), 4585 - 4577), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110111) + chr(0b10110 + 0o36), 13042 - 13034), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(51) + '\061', 0b1000), ehT0Px3KOsy9(chr(1087 - 1039) + '\157' + chr(0b101100 + 0o7) + '\x30' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101001 + 0o106) + chr(0b110010) + chr(0b101011 + 0o6) + '\064', 46881 - 46873), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(50) + '\060' + '\062', 0o10), ehT0Px3KOsy9(chr(1178 - 1130) + '\x6f' + '\062' + '\065' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b110110) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(50) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1395 - 1347) + chr(3424 - 3313) + chr(50) + chr(54) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b100001 + 0o23) + chr(50), 39532 - 39524), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b10111 + 0o33) + chr(54) + chr(2821 - 2767), 20564 - 20556), ehT0Px3KOsy9(chr(2201 - 2153) + '\157' + chr(0b110001) + chr(1789 - 1741) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1207 - 1157) + chr(0b110101) + chr(2039 - 1985), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b110010) + chr(1604 - 1552), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(0b100 + 0o54) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10101 + 0o34) + '\x32' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1111 + 0o140) + chr(2174 - 2123) + chr(0b110100 + 0o3), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b110111), 8790 - 8782), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x37' + chr(52), 8), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + '\x32' + '\x37' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(318 - 268) + chr(48) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110000) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101011 + 0o4) + '\062' + chr(0b10100 + 0o37) + chr(1644 - 1595), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\x37' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\x6f' + chr(51) + chr(52) + chr(272 - 218), ord("\x08")), ehT0Px3KOsy9(chr(195 - 147) + chr(111) + chr(0b110010) + chr(280 - 227) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11101 + 0o24) + chr(0b110001) + chr(486 - 432), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(54) + chr(188 - 139), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110110) + chr(53), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1001001 + 0o46) + '\065' + chr(0b0 + 0o60), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6'), chr(0b1100100) + '\x65' + '\x63' + chr(111) + '\144' + '\145')(chr(10374 - 10257) + chr(0b1011010 + 0o32) + '\x66' + chr(45) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def hdVXfOmONzmq(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + '\061' + '\063', 0b1000)): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3O\x0b&\xd5\xb9\x9a\x0f\xde\xa2\xcc5\xa6'), '\144' + chr(4678 - 4577) + '\143' + '\x6f' + '\144' + chr(0b1100101))('\165' + chr(0b1110100) + '\x66' + '\055' + chr(1007 - 951))), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9('\060' + '\157' + chr(0b110000), 0o10), Lm3YAkMr8_zu, xafqLlk3kkUe(U_a7OzgTlwvr.metrics, xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x181%\xe9\xa4\x8d\x19'), chr(8260 - 8160) + chr(4489 - 4388) + chr(0b100 + 0o137) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(932 - 815) + chr(4209 - 4093) + chr(0b1100110) + '\x2d' + '\x38')))
slundberg/shap	shap/benchmark/metrics.py	keep_absolute_resample__roc_auc	def keep_absolute_resample__roc_auc(X, y, model_generator, method_name, num_fcounts=11): """ Keep Absolute (resample) xlabel = "Max fraction of features kept" ylabel = "ROC AUC" transform = "identity" sort_order = 12 """ return __run_measure(measures.keep_resample, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.roc_auc_score)	python	def keep_absolute_resample__roc_auc(X, y, model_generator, method_name, num_fcounts=11): """ Keep Absolute (resample) xlabel = "Max fraction of features kept" ylabel = "ROC AUC" transform = "identity" sort_order = 12 """ return __run_measure(measures.keep_resample, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.roc_auc_score)	[ "def", "keep_absolute_resample__roc_auc", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "keep_resample", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "0", ",", "num_fcounts", ",", "sklearn", ".", "metrics", ".", "roc_auc_score", ")" ]	Keep Absolute (resample) xlabel = "Max fraction of features kept" ylabel = "ROC AUC" transform = "identity" sort_order = 12	[ "Keep", "Absolute", "(", "resample", ")", "xlabel", "=", "Max", "fraction", "of", "features", "kept", "ylabel", "=", "ROC", "AUC", "transform", "=", "identity", "sort_order", "=", "12" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L225-L232	train	Keep absolute resampling.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110100 + 0o1) + chr(2348 - 2296), 53081 - 53073), ehT0Px3KOsy9(chr(1976 - 1928) + chr(0b1001010 + 0o45) + chr(50) + chr(0b100001 + 0o20) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(5349 - 5238) + chr(50) + '\063' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\065' + '\061', 4887 - 4879), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + '\x33' + chr(1277 - 1224) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(1029 - 981) + chr(0b1101111) + chr(982 - 930) + '\067', 63891 - 63883), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b11101 + 0o24) + chr(0b110100 + 0o0), 54350 - 54342), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1100 + 0o46) + chr(52) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2036 - 1985) + chr(48) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(149 - 96) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10110 + 0o33) + chr(52) + chr(891 - 841), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + chr(50) + chr(0b110010) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1010111 + 0o30) + chr(0b101100 + 0o6) + '\x34' + chr(2472 - 2420), ord("\x08")), ehT0Px3KOsy9(chr(2086 - 2038) + chr(7909 - 7798) + chr(0b110010) + chr(0b110101) + chr(2234 - 2184), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\066' + chr(0b110000 + 0o3), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(2186 - 2136) + '\x33' + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(2475 - 2364) + chr(0b110011) + chr(55) + chr(0b10110 + 0o36), ord("\x08")), ehT0Px3KOsy9('\060' + chr(9401 - 9290) + '\061' + '\x36' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\x31' + chr(0b10111 + 0o32), 3648 - 3640), ehT0Px3KOsy9(chr(48) + chr(8036 - 7925) + chr(49) + chr(0b110011) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(542 - 494) + chr(111) + chr(0b100 + 0o55) + chr(0b110001) + chr(51), 53161 - 53153), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\063' + chr(0b1111 + 0o50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(371 - 318) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2779 - 2726) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(760 - 711) + '\061' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\065' + chr(52), 8), ehT0Px3KOsy9('\060' + chr(264 - 153) + chr(0b110011) + chr(55) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(428 - 379) + chr(0b110001) + chr(0b100010 + 0o24), 0b1000), ehT0Px3KOsy9(chr(2195 - 2147) + chr(111) + '\060', 0o10), ehT0Px3KOsy9(chr(1396 - 1348) + chr(111) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(10264 - 10153) + '\061' + chr(0b110110) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(1703 - 1651) + '\x34', 60906 - 60898), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(318 - 268) + chr(566 - 515) + chr(0b1110 + 0o51), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b10110 + 0o33) + '\065', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1011111 + 0o20) + chr(0b100 + 0o55) + chr(2438 - 2386) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(8610 - 8499) + chr(1582 - 1533) + '\x34' + chr(0b110101), 23285 - 23277), ehT0Px3KOsy9(chr(1093 - 1045) + '\x6f' + chr(0b10 + 0o62) + chr(0b110101), 23277 - 23269), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(1682 - 1571) + chr(49 - 0) + '\x32', 16139 - 16131)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2049 - 2001) + chr(111) + chr(0b10110 + 0o37) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'B'), chr(0b1100100) + chr(7574 - 7473) + '\143' + chr(111) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(3973 - 3871) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Wq2Rer9L8Qqa(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110011), 0b1000)): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'\x07\xeb\xfa\x99\xb3U\xe9\xd4\xa7c\xda\x0e\xf7'), chr(100) + chr(3049 - 2948) + '\x63' + '\157' + chr(100) + '\145')(chr(0b1110101) + chr(116) + chr(102) + chr(933 - 888) + chr(0b111000))), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', 8), Lm3YAkMr8_zu, xafqLlk3kkUe(U_a7OzgTlwvr.metrics, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xe1\xfc\xb6\x8dR\xef\xf8\xb5m\xc5\x10\xf7'), '\144' + '\x65' + chr(7305 - 7206) + '\x6f' + '\144' + '\x65')(chr(0b1000101 + 0o60) + chr(0b1110100) + '\x66' + '\x2d' + '\070')))
slundberg/shap	shap/benchmark/metrics.py	remove_positive_resample	def remove_positive_resample(X, y, model_generator, method_name, num_fcounts=11): """ Remove Positive (resample) xlabel = "Max fraction of features removed" ylabel = "Negative mean model output" transform = "negate" sort_order = 13 """ return __run_measure(measures.remove_resample, X, y, model_generator, method_name, 1, num_fcounts, __mean_pred)	python	def remove_positive_resample(X, y, model_generator, method_name, num_fcounts=11): """ Remove Positive (resample) xlabel = "Max fraction of features removed" ylabel = "Negative mean model output" transform = "negate" sort_order = 13 """ return __run_measure(measures.remove_resample, X, y, model_generator, method_name, 1, num_fcounts, __mean_pred)	[ "def", "remove_positive_resample", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "remove_resample", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "1", ",", "num_fcounts", ",", "__mean_pred", ")" ]	Remove Positive (resample) xlabel = "Max fraction of features removed" ylabel = "Negative mean model output" transform = "negate" sort_order = 13	[ "Remove", "Positive", "(", "resample", ")", "xlabel", "=", "Max", "fraction", "of", "features", "removed", "ylabel", "=", "Negative", "mean", "model", "output", "transform", "=", "negate", "sort_order", "=", "13" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L234-L241	train	Remove positive resampling	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(53) + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110010 + 0o5) + chr(219 - 171), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(135 - 84) + chr(0b11111 + 0o21) + chr(0b110000), 33482 - 33474), ehT0Px3KOsy9(chr(0b110000) + chr(0b101101 + 0o102) + chr(0b1100 + 0o46) + chr(0b100011 + 0o23), 0o10), ehT0Px3KOsy9(chr(943 - 895) + '\157' + chr(0b110111) + chr(0b100101 + 0o17), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(851 - 798) + '\x36', 0o10), ehT0Px3KOsy9(chr(1208 - 1160) + chr(6002 - 5891) + chr(0b110011 + 0o0) + '\x37', 5656 - 5648), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10010 + 0o41) + chr(55) + '\x35', 31128 - 31120), ehT0Px3KOsy9(chr(0b110000) + chr(0b100011 + 0o114) + '\064' + chr(0b110000), 64721 - 64713), ehT0Px3KOsy9('\060' + chr(2075 - 1964) + '\x37' + chr(0b11010 + 0o27), 0o10), ehT0Px3KOsy9(chr(2040 - 1992) + chr(405 - 294) + '\x33' + '\067' + chr(0b1011 + 0o54), 33524 - 33516), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1001 + 0o50) + '\x32' + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\061', 0b1000), ehT0Px3KOsy9(chr(908 - 860) + chr(111) + chr(0b110010) + chr(0b11010 + 0o30) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(54) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101111 + 0o100) + '\067' + '\x34', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10011 + 0o36) + '\x37', 9350 - 9342), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b110110) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11010 + 0o31) + chr(0b1110 + 0o46) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1193 - 1145) + chr(12278 - 12167) + chr(0b110101) + chr(0b11110 + 0o22), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2070 - 1959) + chr(0b10000 + 0o42) + chr(2448 - 2397) + '\065', 0o10), ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + chr(1325 - 1272) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1100 + 0o50) + chr(0b10111 + 0o35), 30217 - 30209), ehT0Px3KOsy9('\060' + chr(0b100 + 0o153) + chr(195 - 140) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(239 - 128) + chr(50) + chr(0b110011) + chr(1950 - 1897), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b110100) + chr(0b0 + 0o64), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + '\061' + '\063' + chr(0b11110 + 0o31), 4333 - 4325), ehT0Px3KOsy9(chr(1966 - 1918) + chr(1451 - 1340) + chr(0b110010) + chr(0b110001) + chr(2484 - 2429), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1873 - 1823) + '\x36' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(10944 - 10833) + '\x32' + '\062' + chr(0b110111), 8), ehT0Px3KOsy9(chr(1804 - 1756) + chr(9866 - 9755) + chr(0b110010) + '\061' + chr(2091 - 2041), 0o10), ehT0Px3KOsy9(chr(1795 - 1747) + chr(0b11100 + 0o123) + '\062' + chr(923 - 869) + '\x34', 43277 - 43269), ehT0Px3KOsy9(chr(129 - 81) + chr(0b1101111) + chr(49) + chr(52), 0b1000), ehT0Px3KOsy9(chr(1811 - 1763) + chr(133 - 22) + chr(0b11101 + 0o24) + chr(49), 14684 - 14676), ehT0Px3KOsy9(chr(0b110000) + chr(6316 - 6205) + chr(0b1111 + 0o47) + chr(2344 - 2291), 18294 - 18286), ehT0Px3KOsy9(chr(1946 - 1898) + chr(111) + '\x33' + chr(0b110111) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(813 - 765) + chr(0b1101111) + chr(0b110010) + chr(2038 - 1990) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(576 - 525) + chr(1948 - 1900) + chr(0b110100), 60109 - 60101), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + chr(0b100 + 0o55) + chr(0b110111) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + '\x33' + chr(0b110101), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11000 + 0o35) + chr(0b10 + 0o56), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x81'), '\144' + chr(101) + '\143' + chr(0b10111 + 0o130) + chr(911 - 811) + chr(0b1011111 + 0o6))('\165' + '\x74' + '\146' + chr(0b101101) + chr(1358 - 1302)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def A4J2HbNiDqGy(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9('\x30' + chr(0b111101 + 0o62) + chr(49) + chr(0b111 + 0o54), 0b1000)): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdd\x1d\xadyJ\x8b@\x8fEJ\x9e;a\xfb\x12'), chr(6407 - 6307) + chr(0b1100101) + chr(99) + chr(0b1100110 + 0o11) + chr(6502 - 6402) + '\x65')(chr(0b10100 + 0o141) + chr(116) + '\146' + chr(45) + chr(0b1 + 0o67))), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9('\x30' + '\x6f' + '\x31', 4333 - 4325), Lm3YAkMr8_zu, vsQEwoF6xUhH)
slundberg/shap	shap/benchmark/metrics.py	remove_absolute_resample__r2	def remove_absolute_resample__r2(X, y, model_generator, method_name, num_fcounts=11): """ Remove Absolute (resample) xlabel = "Max fraction of features removed" ylabel = "1 - R^2" transform = "one_minus" sort_order = 15 """ return __run_measure(measures.remove_resample, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.r2_score)	python	def remove_absolute_resample__r2(X, y, model_generator, method_name, num_fcounts=11): """ Remove Absolute (resample) xlabel = "Max fraction of features removed" ylabel = "1 - R^2" transform = "one_minus" sort_order = 15 """ return __run_measure(measures.remove_resample, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.r2_score)	[ "def", "remove_absolute_resample__r2", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "remove_resample", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "0", ",", "num_fcounts", ",", "sklearn", ".", "metrics", ".", "r2_score", ")" ]	Remove Absolute (resample) xlabel = "Max fraction of features removed" ylabel = "1 - R^2" transform = "one_minus" sort_order = 15	[ "Remove", "Absolute", "(", "resample", ")", "xlabel", "=", "Max", "fraction", "of", "features", "removed", "ylabel", "=", "1", "-", "R^2", "transform", "=", "one_minus", "sort_order", "=", "15" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L252-L259	train	Remove absolute resampling.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1178 - 1130) + chr(0b1101111) + chr(51) + chr(0b110100) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x31' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(49) + chr(0b100111 + 0o11), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9736 - 9625) + '\061' + chr(0b110101) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001010 + 0o45) + chr(0b110001) + chr(49) + chr(2198 - 2148), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(346 - 297) + chr(1657 - 1605) + chr(48), 0o10), ehT0Px3KOsy9(chr(1675 - 1627) + '\157' + '\x31' + chr(0b110110) + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1657 - 1606) + '\067' + '\x34', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(1284 - 1233) + '\060', 0b1000), ehT0Px3KOsy9(chr(910 - 862) + '\157' + '\063' + '\061' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + chr(0b110001) + chr(0b11001 + 0o32), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100000 + 0o117) + chr(54) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1011 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(11992 - 11881) + chr(2206 - 2157) + '\x33' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(799 - 751) + chr(10403 - 10292) + chr(51) + '\063' + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + '\x32' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + '\065' + chr(53), 0b1000), ehT0Px3KOsy9(chr(1827 - 1779) + chr(111) + '\x31' + chr(0b110011) + chr(1588 - 1536), 24309 - 24301), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(619 - 569) + chr(1788 - 1738), ord("\x08")), ehT0Px3KOsy9(chr(844 - 796) + chr(111) + chr(0b110010) + '\067' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1071 - 1023) + chr(0b1101111) + '\061' + chr(1198 - 1145) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10001 + 0o136) + chr(0b11001 + 0o31) + chr(0b110001) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(0b11101 + 0o30) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + '\063' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50), 54056 - 54048), ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + chr(0b101001 + 0o11) + chr(48), 18407 - 18399), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + '\062' + chr(0b110011), 33867 - 33859), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\x35' + chr(1237 - 1189), 0o10), ehT0Px3KOsy9('\x30' + chr(2697 - 2586) + chr(0b110001) + chr(0b110 + 0o61) + chr(300 - 247), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\x33' + '\060', 8), ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + '\x32' + chr(0b110001) + chr(0b11001 + 0o31), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(53) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10101 + 0o36) + chr(0b110100) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011 + 0o0) + chr(2872 - 2818) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(49) + '\061' + chr(0b11 + 0o56), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(49) + chr(0b110100) + chr(55), 55946 - 55938), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b110100), 19880 - 19872), ehT0Px3KOsy9(chr(48) + chr(0b100111 + 0o110) + '\062' + chr(52) + chr(0b100111 + 0o11), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b11110 + 0o121) + chr(51) + chr(0b100 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(55) + chr(55), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(1087 - 1034) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd'), chr(100) + '\x65' + '\x63' + '\157' + chr(0b1001010 + 0o32) + chr(101))(chr(117) + '\164' + '\x66' + '\x2d' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Zm6OA17CsHah(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9(chr(822 - 774) + '\157' + '\061' + chr(0b101101 + 0o6), 8)): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'\x91+\xa5\x01<\x05*\x8e\xbd\xb9j_p1\xb8'), '\x64' + chr(101) + '\x63' + '\157' + chr(6695 - 6595) + chr(8019 - 7918))(chr(0b1110101) + '\164' + '\x66' + chr(45) + chr(0b100101 + 0o23))), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(11234 - 11123) + chr(1252 - 1204), 8), Lm3YAkMr8_zu, xafqLlk3kkUe(U_a7OzgTlwvr.metrics, xafqLlk3kkUe(SXOLrMavuUCe(b'\x91\|\x97\x1d)\x0f\x07\x99'), chr(8563 - 8463) + '\x65' + '\143' + chr(111) + chr(0b11111 + 0o105) + chr(101))(chr(3357 - 3240) + '\164' + chr(102) + chr(0b101101) + chr(0b111000))))
slundberg/shap	shap/benchmark/metrics.py	remove_absolute_resample__roc_auc	def remove_absolute_resample__roc_auc(X, y, model_generator, method_name, num_fcounts=11): """ Remove Absolute (resample) xlabel = "Max fraction of features removed" ylabel = "1 - ROC AUC" transform = "one_minus" sort_order = 15 """ return __run_measure(measures.remove_resample, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.roc_auc_score)	python	def remove_absolute_resample__roc_auc(X, y, model_generator, method_name, num_fcounts=11): """ Remove Absolute (resample) xlabel = "Max fraction of features removed" ylabel = "1 - ROC AUC" transform = "one_minus" sort_order = 15 """ return __run_measure(measures.remove_resample, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.roc_auc_score)	[ "def", "remove_absolute_resample__roc_auc", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "remove_resample", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "0", ",", "num_fcounts", ",", "sklearn", ".", "metrics", ".", "roc_auc_score", ")" ]	Remove Absolute (resample) xlabel = "Max fraction of features removed" ylabel = "1 - ROC AUC" transform = "one_minus" sort_order = 15	[ "Remove", "Absolute", "(", "resample", ")", "xlabel", "=", "Max", "fraction", "of", "features", "removed", "ylabel", "=", "1", "-", "ROC", "AUC", "transform", "=", "one_minus", "sort_order", "=", "15" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L261-L268	train	Remove absolute resampling.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b110110) + chr(0b110000), 10174 - 10166), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b110101) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b100111 + 0o110) + '\x31' + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(1361 - 1309), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101001 + 0o6) + chr(0b110011) + chr(2231 - 2178) + chr(55), 56653 - 56645), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(0b110011) + chr(55) + chr(717 - 667), 23889 - 23881), ehT0Px3KOsy9(chr(48) + chr(1311 - 1200) + '\062' + '\x31' + chr(2031 - 1980), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101111 + 0o4) + '\x35' + '\065', 0o10), ehT0Px3KOsy9(chr(711 - 663) + chr(0b10 + 0o155) + chr(0b10 + 0o60) + chr(0b1 + 0o64), 17508 - 17500), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\065' + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(253 - 203) + chr(2561 - 2506) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x34' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(418 - 365) + chr(0b110001), 63205 - 63197), ehT0Px3KOsy9(chr(1600 - 1552) + chr(0b101010 + 0o105) + '\061' + chr(1007 - 956) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11010 + 0o33) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + '\062' + chr(121 - 66) + '\067', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2056 - 2006) + '\064' + chr(0b111 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000111 + 0o50) + chr(50) + '\067' + chr(0b100110 + 0o15), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\x33' + chr(50), 0o10), ehT0Px3KOsy9(chr(480 - 432) + chr(0b1101111) + chr(50) + '\065' + '\064', 0o10), ehT0Px3KOsy9(chr(1384 - 1336) + chr(9148 - 9037) + '\x32' + '\066' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(2112 - 2064) + chr(111) + chr(50) + chr(91 - 39) + chr(53), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2206 - 2157) + chr(2442 - 2387) + chr(0b10101 + 0o33), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b110010) + chr(0b11011 + 0o26) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011001 + 0o26) + chr(2481 - 2431) + chr(813 - 765) + chr(1262 - 1210), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100011 + 0o114) + chr(1327 - 1275) + chr(0b111 + 0o52), 8), ehT0Px3KOsy9(chr(1818 - 1770) + '\157' + chr(0b110011) + chr(0b110101) + chr(0b110010), 59722 - 59714), ehT0Px3KOsy9('\060' + chr(7845 - 7734) + '\064' + chr(445 - 396), 8), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(50) + chr(0b110100) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + '\x33' + chr(2116 - 2061) + chr(54), 0b1000), ehT0Px3KOsy9(chr(2005 - 1957) + chr(0b1101111) + chr(0b110011) + '\066', 40317 - 40309), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x35' + chr(391 - 342), 8), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(948 - 899) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10100 + 0o36) + chr(1368 - 1319), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\062' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(50) + '\x36' + chr(1156 - 1103), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100010 + 0o17) + chr(166 - 111) + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(49) + '\064', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110 + 0o57) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e'), chr(0b1010010 + 0o22) + chr(101) + chr(0b1100011) + chr(0b11001 + 0o126) + chr(100) + chr(4113 - 4012))(chr(0b1000100 + 0o61) + '\x74' + chr(0b111111 + 0o47) + chr(45) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Bd0wd_xkiB9j(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b110001) + chr(0b110011), ord("\x08"))): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\x8e`{\x99\x9f\xd4\x9fp\xd8\xdeL\x992N'), '\x64' + chr(101) + chr(0b1100011) + chr(111) + chr(8236 - 8136) + chr(1964 - 1863))(chr(8654 - 8537) + chr(0b1011001 + 0o33) + chr(0b101110 + 0o70) + '\x2d' + chr(56))), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + chr(48), ord("\x08")), Lm3YAkMr8_zu, xafqLlk3kkUe(U_a7OzgTlwvr.metrics, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\x84nK\x8e\x8f\xe8\xb2f\xc8\xd0S\x8c'), chr(0b1100100) + '\145' + chr(99) + chr(111) + '\x64' + chr(101))(chr(0b1110101) + chr(1416 - 1300) + '\146' + chr(0b101101) + chr(0b111000))))
slundberg/shap	shap/benchmark/metrics.py	keep_negative_impute	def keep_negative_impute(X, y, model_generator, method_name, num_fcounts=11): """ Keep Negative (impute) xlabel = "Max fraction of features kept" ylabel = "Negative mean model output" transform = "negate" sort_order = 17 """ return __run_measure(measures.keep_impute, X, y, model_generator, method_name, -1, num_fcounts, __mean_pred)	python	def keep_negative_impute(X, y, model_generator, method_name, num_fcounts=11): """ Keep Negative (impute) xlabel = "Max fraction of features kept" ylabel = "Negative mean model output" transform = "negate" sort_order = 17 """ return __run_measure(measures.keep_impute, X, y, model_generator, method_name, -1, num_fcounts, __mean_pred)	[ "def", "keep_negative_impute", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "keep_impute", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "-", "1", ",", "num_fcounts", ",", "__mean_pred", ")" ]	Keep Negative (impute) xlabel = "Max fraction of features kept" ylabel = "Negative mean model output" transform = "negate" sort_order = 17	[ "Keep", "Negative", "(", "impute", ")", "xlabel", "=", "Max", "fraction", "of", "features", "kept", "ylabel", "=", "Negative", "mean", "model", "output", "transform", "=", "negate", "sort_order", "=", "17" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L279-L286	train	Keep negative impute	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(4274 - 4163) + chr(49) + chr(0b11110 + 0o24) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(388 - 339) + chr(50) + chr(2618 - 2564), 0b1000), ehT0Px3KOsy9('\x30' + chr(6422 - 6311) + chr(0b110011) + chr(2306 - 2257), 60913 - 60905), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b101010 + 0o105) + chr(2367 - 2315) + chr(48), 0o10), ehT0Px3KOsy9(chr(654 - 606) + chr(9406 - 9295) + chr(90 - 40) + chr(55) + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(10495 - 10384) + chr(0b110010) + chr(0b110000) + chr(0b1010 + 0o53), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\x36' + chr(0b101110 + 0o11), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1545 - 1495) + chr(0b110010) + chr(2538 - 2487), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + '\062' + chr(0b110000) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2444 - 2394) + chr(0b110011) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10111 + 0o33) + chr(0b100101 + 0o17) + chr(0b11011 + 0o26), 0o10), ehT0Px3KOsy9(chr(1273 - 1225) + chr(0b1101111) + chr(0b1110 + 0o45) + chr(975 - 920) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1010010 + 0o35) + chr(0b110001) + '\060' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + chr(51) + chr(859 - 806) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010 + 0o1) + chr(0b110010) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + '\x31' + '\066', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(10146 - 10035) + '\x33' + chr(51) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6293 - 6182) + '\063' + '\x30' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10 + 0o61) + '\063' + '\062', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101100 + 0o7) + chr(0b11100 + 0o24) + chr(0b11001 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1111 + 0o43) + chr(0b110110), 39206 - 39198), ehT0Px3KOsy9('\x30' + chr(12040 - 11929) + chr(49) + '\060' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(507 - 459) + chr(0b1101111) + '\x31' + chr(0b11110 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b110011) + chr(54) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(828 - 779) + '\061' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(120 - 72) + '\157' + '\x33' + chr(0b110011) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + chr(1732 - 1681) + chr(55) + chr(283 - 234), 38941 - 38933), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(1403 - 1352) + chr(50) + '\060', 8), ehT0Px3KOsy9('\060' + '\157' + chr(1026 - 976) + chr(1855 - 1800) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(8390 - 8279) + chr(0b100010 + 0o17) + chr(0b110001), 34554 - 34546), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(50) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b100110 + 0o16) + '\065', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1005 - 956) + '\063' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(0b10110 + 0o35) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\x37' + chr(54), 42758 - 42750), ehT0Px3KOsy9(chr(48) + chr(0b100 + 0o153) + chr(0b10 + 0o64) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\061' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(53) + chr(0b101000 + 0o13), 35184 - 35176), ehT0Px3KOsy9('\x30' + chr(0b110010 + 0o75) + chr(463 - 412) + chr(0b110010) + chr(957 - 906), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(0b110011) + '\067' + chr(0b101101 + 0o5), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110101) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'y'), chr(0b1100100) + chr(4226 - 4125) + chr(99) + chr(0b1101111) + chr(6445 - 6345) + chr(0b1100101))(chr(0b1110101) + chr(0b1000001 + 0o63) + chr(102) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def n1bsWaKgOObq(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9(chr(1155 - 1107) + chr(111) + '\x31' + '\063', 0b1000)): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'<3\|P\xe0\xec\x9a\xe3\xf1\xed\xc4'), chr(0b1011011 + 0o11) + '\145' + '\143' + chr(0b1101111) + chr(0b1000110 + 0o36) + chr(298 - 197))(chr(0b1001010 + 0o53) + chr(0b100000 + 0o124) + chr(0b1100110) + chr(0b101101) + '\x38')), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, -ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001), 52005 - 51997), Lm3YAkMr8_zu, vsQEwoF6xUhH)
slundberg/shap	shap/benchmark/metrics.py	keep_absolute_impute__r2	def keep_absolute_impute__r2(X, y, model_generator, method_name, num_fcounts=11): """ Keep Absolute (impute) xlabel = "Max fraction of features kept" ylabel = "R^2" transform = "identity" sort_order = 18 """ return __run_measure(measures.keep_impute, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.r2_score)	python	def keep_absolute_impute__r2(X, y, model_generator, method_name, num_fcounts=11): """ Keep Absolute (impute) xlabel = "Max fraction of features kept" ylabel = "R^2" transform = "identity" sort_order = 18 """ return __run_measure(measures.keep_impute, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.r2_score)	[ "def", "keep_absolute_impute__r2", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "keep_impute", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "0", ",", "num_fcounts", ",", "sklearn", ".", "metrics", ".", "r2_score", ")" ]	Keep Absolute (impute) xlabel = "Max fraction of features kept" ylabel = "R^2" transform = "identity" sort_order = 18	[ "Keep", "Absolute", "(", "impute", ")", "xlabel", "=", "Max", "fraction", "of", "features", "kept", "ylabel", "=", "R^2", "transform", "=", "identity", "sort_order", "=", "18" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L288-L295	train	Keep absolute impute	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(10741 - 10630) + chr(595 - 540) + chr(0b11000 + 0o36), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + '\063' + chr(0b10000 + 0o43) + chr(0b101 + 0o53), 54511 - 54503), ehT0Px3KOsy9('\x30' + '\157' + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(1775 - 1723), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(490 - 437) + chr(51), 0b1000), ehT0Px3KOsy9(chr(1231 - 1183) + '\x6f' + chr(0b110010) + '\x34' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1650 - 1602) + chr(580 - 469) + chr(49) + chr(54) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + '\066' + chr(0b11101 + 0o24), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101000 + 0o13) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(4670 - 4559) + chr(49) + chr(52) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1983 - 1935) + chr(0b1101111) + chr(0b110001) + '\x34' + '\x35', 65421 - 65413), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + chr(0b110011) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1189 - 1078) + chr(0b100110 + 0o15) + chr(0b10001 + 0o41) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + '\063' + chr(0b11001 + 0o36), 0b1000), ehT0Px3KOsy9(chr(1186 - 1138) + '\157' + chr(1164 - 1112) + chr(840 - 787), 14611 - 14603), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\065' + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b1000011 + 0o54) + '\062' + chr(0b101110 + 0o4) + chr(0b10110 + 0o36), 35704 - 35696), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b11 + 0o63) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(6397 - 6286) + chr(973 - 923) + '\067' + chr(0b111 + 0o55), 7950 - 7942), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b110010) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + '\x33' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + '\x31' + '\x37' + chr(0b1110 + 0o43), 38965 - 38957), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(1642 - 1592) + '\x37' + chr(80 - 29), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(49) + chr(49) + '\x32', 37208 - 37200), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b111000 + 0o67) + chr(1467 - 1418) + chr(515 - 464), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + chr(0b1100 + 0o47) + chr(0b11111 + 0o21) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000100 + 0o53) + '\x37' + chr(459 - 404), ord("\x08")), ehT0Px3KOsy9(chr(1052 - 1004) + chr(0b111 + 0o150) + chr(0b110001) + chr(0b100110 + 0o12) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b10011 + 0o134) + chr(50) + chr(0b101110 + 0o2) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(52) + chr(52), 0o10), ehT0Px3KOsy9(chr(124 - 76) + chr(0b1000110 + 0o51) + chr(0b110011) + chr(50) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\x37' + chr(1413 - 1365), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + '\064' + chr(1297 - 1246), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1227 - 1116) + chr(341 - 290) + '\x36' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(966 - 855) + chr(0b110010) + chr(0b110110) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b0 + 0o62) + chr(50) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\064' + chr(0b101010 + 0o14), 8), ehT0Px3KOsy9('\060' + chr(1910 - 1799) + chr(2329 - 2280) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(0b110010) + '\065' + '\x32', 5828 - 5820), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(1523 - 1471) + chr(0b110111), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + chr(48), 28759 - 28751)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x10'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1001111 + 0o40) + chr(100) + chr(1985 - 1884))('\x75' + chr(0b10000 + 0o144) + chr(102) + chr(45) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def ZksRWNb6AaWO(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9(chr(0b110000) + chr(1753 - 1642) + chr(49) + '\x33', 8)): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'U\xbdbd\xf4\xcf\x1dAk\x16\x00'), '\144' + '\x65' + '\143' + chr(7605 - 7494) + chr(100) + '\145')(chr(0b1101011 + 0o12) + chr(0b1011110 + 0o26) + chr(3717 - 3615) + '\055' + chr(0b111000))), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(0b11110 + 0o22), 0b1000), Lm3YAkMr8_zu, xafqLlk3kkUe(U_a7OzgTlwvr.metrics, xafqLlk3kkUe(SXOLrMavuUCe(b'L\xeaXg\xc8\xc9\x02T'), '\x64' + chr(0b10101 + 0o120) + chr(99) + '\x6f' + chr(3124 - 3024) + chr(8209 - 8108))(chr(5577 - 5460) + chr(12577 - 12461) + chr(102) + '\x2d' + chr(0b1011 + 0o55))))
slundberg/shap	shap/benchmark/metrics.py	keep_absolute_impute__roc_auc	def keep_absolute_impute__roc_auc(X, y, model_generator, method_name, num_fcounts=11): """ Keep Absolute (impute) xlabel = "Max fraction of features kept" ylabel = "ROC AUC" transform = "identity" sort_order = 19 """ return __run_measure(measures.keep_mask, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.roc_auc_score)	python	def keep_absolute_impute__roc_auc(X, y, model_generator, method_name, num_fcounts=11): """ Keep Absolute (impute) xlabel = "Max fraction of features kept" ylabel = "ROC AUC" transform = "identity" sort_order = 19 """ return __run_measure(measures.keep_mask, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.roc_auc_score)	[ "def", "keep_absolute_impute__roc_auc", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "keep_mask", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "0", ",", "num_fcounts", ",", "sklearn", ".", "metrics", ".", "roc_auc_score", ")" ]	Keep Absolute (impute) xlabel = "Max fraction of features kept" ylabel = "ROC AUC" transform = "identity" sort_order = 19	[ "Keep", "Absolute", "(", "impute", ")", "xlabel", "=", "Max", "fraction", "of", "features", "kept", "ylabel", "=", "ROC", "AUC", "transform", "=", "identity", "sort_order", "=", "19" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L297-L304	train	Keep absolute impute	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b11000 + 0o127) + chr(606 - 555) + '\x30' + '\x37', 48577 - 48569), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(0b10010 + 0o40) + '\x30' + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b1100 + 0o46) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(248 - 200) + '\x6f' + chr(51) + '\x33' + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2214 - 2163) + chr(48) + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(92 - 39) + chr(0b10111 + 0o35), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011000 + 0o27) + '\x36' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(244 - 190) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1542 - 1492) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1972 - 1921), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b110000 + 0o77) + chr(50) + chr(0b0 + 0o61) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1965 - 1912) + chr(0b11010 + 0o27), 0b1000), ehT0Px3KOsy9('\x30' + chr(10857 - 10746) + '\x32' + '\063' + chr(1472 - 1418), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10001 + 0o41) + chr(0b100101 + 0o14) + '\x32', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b11100 + 0o26) + chr(261 - 208) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10111 + 0o130) + chr(530 - 479) + chr(0b110100) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111 + 0o0) + chr(0b110010) + chr(0b100110 + 0o20) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1540 - 1490) + chr(0b110110) + '\x34', 26970 - 26962), ehT0Px3KOsy9(chr(597 - 549) + chr(0b1101111) + '\062' + chr(2196 - 2143) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(0b110110) + chr(0b101001 + 0o7), 0o10), ehT0Px3KOsy9(chr(1774 - 1726) + chr(0b1101111) + chr(52), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1758 - 1709) + chr(0b110001) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(0b10001 + 0o136) + chr(50) + '\x34' + chr(0b110101 + 0o0), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2250 - 2199) + '\061' + '\060', 13574 - 13566), ehT0Px3KOsy9('\060' + chr(784 - 673) + '\063' + chr(0b1110 + 0o43) + '\060', 8), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\061' + chr(251 - 197), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(49) + '\x32' + '\x34', 0b1000), ehT0Px3KOsy9(chr(333 - 285) + chr(0b1101111) + chr(279 - 227) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + '\x33' + chr(2474 - 2419) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + '\062' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\x35' + '\060', 56633 - 56625), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b100111 + 0o20) + chr(375 - 321), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b11110 + 0o26) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\064' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(1039 - 985), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b111010 + 0o65) + '\061' + chr(53) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(1595 - 1484) + chr(272 - 222) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(339 - 291) + chr(3676 - 3565) + '\x33' + '\064' + '\x35', 22350 - 22342), ehT0Px3KOsy9('\060' + '\x6f' + chr(2345 - 2294) + chr(2150 - 2101) + chr(0b1100 + 0o44), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(11753 - 11642) + chr(0b10000 + 0o45) + chr(0b10000 + 0o40), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9'), '\144' + chr(705 - 604) + chr(0b11010 + 0o111) + chr(111) + chr(0b110000 + 0o64) + chr(0b1100101))(chr(117) + chr(0b101011 + 0o111) + '\x66' + chr(45) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def k_KS2fVSooye(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9(chr(787 - 739) + '\157' + '\061' + chr(1389 - 1338), 13092 - 13084)): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'\xac\xe3\xf2\xae\x9bARG}'), chr(4903 - 4803) + chr(0b1100101) + chr(2748 - 2649) + chr(0b1000 + 0o147) + chr(0b101010 + 0o72) + chr(101))(chr(117) + chr(10984 - 10868) + '\146' + chr(1131 - 1086) + chr(56))), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1101 + 0o43), 0b1000), Lm3YAkMr8_zu, xafqLlk3kkUe(U_a7OzgTlwvr.metrics, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5\xe9\xf4\x81\xa5YPke`\xe5[\xfb'), chr(0b1011101 + 0o7) + chr(101) + chr(99) + '\157' + chr(0b1000111 + 0o35) + chr(1932 - 1831))('\x75' + chr(116) + '\x66' + chr(284 - 239) + '\070')))
slundberg/shap	shap/benchmark/metrics.py	remove_positive_impute	def remove_positive_impute(X, y, model_generator, method_name, num_fcounts=11): """ Remove Positive (impute) xlabel = "Max fraction of features removed" ylabel = "Negative mean model output" transform = "negate" sort_order = 7 """ return __run_measure(measures.remove_impute, X, y, model_generator, method_name, 1, num_fcounts, __mean_pred)	python	def remove_positive_impute(X, y, model_generator, method_name, num_fcounts=11): """ Remove Positive (impute) xlabel = "Max fraction of features removed" ylabel = "Negative mean model output" transform = "negate" sort_order = 7 """ return __run_measure(measures.remove_impute, X, y, model_generator, method_name, 1, num_fcounts, __mean_pred)	[ "def", "remove_positive_impute", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "remove_impute", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "1", ",", "num_fcounts", ",", "__mean_pred", ")" ]	Remove Positive (impute) xlabel = "Max fraction of features removed" ylabel = "Negative mean model output" transform = "negate" sort_order = 7	[ "Remove", "Positive", "(", "impute", ")", "xlabel", "=", "Max", "fraction", "of", "features", "removed", "ylabel", "=", "Negative", "mean", "model", "output", "transform", "=", "negate", "sort_order", "=", "7" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L306-L313	train	Remove positive impute	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(49) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010 + 0o145) + chr(51) + '\x37', 0b1000), ehT0Px3KOsy9(chr(538 - 490) + chr(3742 - 3631) + '\061' + '\x36' + '\063', 0b1000), ehT0Px3KOsy9(chr(451 - 403) + '\x6f' + '\x33' + chr(53) + chr(54), 16378 - 16370), ehT0Px3KOsy9('\060' + '\x6f' + chr(342 - 291) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\x33' + '\x35', 58706 - 58698), ehT0Px3KOsy9('\060' + '\x6f' + chr(1122 - 1071) + chr(853 - 800) + chr(52), 32322 - 32314), ehT0Px3KOsy9(chr(48) + chr(0b111110 + 0o61) + chr(49) + '\x34' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(0b10100 + 0o37) + '\x37', 8), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + chr(2011 - 1962) + '\065' + chr(408 - 360), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b10000 + 0o46) + '\x35', 0b1000), ehT0Px3KOsy9(chr(54 - 6) + chr(3071 - 2960) + chr(0b110010) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(48) + chr(0b100 + 0o57), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\x32' + '\063', 898 - 890), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\065' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110000 + 0o1) + chr(52) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(2747 - 2693) + '\x30', 14940 - 14932), ehT0Px3KOsy9(chr(1363 - 1315) + chr(111) + '\x32' + chr(2343 - 2290) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + '\x32' + chr(54) + chr(53), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11110 + 0o24) + '\062' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + chr(0b100000 + 0o21) + '\x30' + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111 + 0o0) + '\061' + chr(1447 - 1394) + '\x33', 8), ehT0Px3KOsy9('\x30' + chr(12084 - 11973) + chr(0b11111 + 0o27) + chr(0b101 + 0o57), 33652 - 33644), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(111) + '\062' + chr(54) + chr(0b101010 + 0o12), 36755 - 36747), ehT0Px3KOsy9(chr(48) + chr(0b110110 + 0o71) + chr(50) + chr(2226 - 2173) + '\064', 8), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(0b100000 + 0o22) + '\x32' + '\062', 0o10), ehT0Px3KOsy9(chr(1121 - 1073) + chr(0b1101111) + chr(0b110010) + chr(0b110101) + chr(671 - 623), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3721 - 3610) + chr(0b10101 + 0o36) + '\x32' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110101) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1413 - 1365) + chr(0b1101111) + '\066' + chr(2457 - 2402), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b110 + 0o54) + chr(0b100110 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(0b1 + 0o60) + chr(53) + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1195 - 1146) + chr(0b110000) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(985 - 935) + chr(50) + chr(50), 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101000 + 0o7) + '\x35' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(776 - 724) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + '\x30' + chr(1830 - 1776), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(2792 - 2738) + chr(0b100000 + 0o21), 12380 - 12372), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b10111 + 0o40) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(11774 - 11663) + '\063' + chr(0b110111), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b0 + 0o157) + '\x35' + chr(48), 13283 - 13275)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'g'), '\x64' + '\x65' + chr(0b11100 + 0o107) + '\x6f' + '\x64' + '\x65')(chr(2800 - 2683) + chr(10057 - 9941) + chr(102) + chr(0b101101) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def xU1ba0rwPGFH(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(49) + '\x33', 43050 - 43042)): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b';z\x1e\x81n\xf8\xb3\x0er\x18\xc0a&'), chr(8325 - 8225) + '\x65' + '\x63' + chr(0b1010000 + 0o37) + '\144' + chr(8239 - 8138))('\x75' + chr(116) + '\146' + '\055' + chr(0b110000 + 0o10))), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9(chr(1597 - 1549) + chr(5963 - 5852) + '\061', ord("\x08")), Lm3YAkMr8_zu, vsQEwoF6xUhH)
slundberg/shap	shap/benchmark/metrics.py	remove_absolute_impute__r2	def remove_absolute_impute__r2(X, y, model_generator, method_name, num_fcounts=11): """ Remove Absolute (impute) xlabel = "Max fraction of features removed" ylabel = "1 - R^2" transform = "one_minus" sort_order = 9 """ return __run_measure(measures.remove_impute, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.r2_score)	python	def remove_absolute_impute__r2(X, y, model_generator, method_name, num_fcounts=11): """ Remove Absolute (impute) xlabel = "Max fraction of features removed" ylabel = "1 - R^2" transform = "one_minus" sort_order = 9 """ return __run_measure(measures.remove_impute, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.r2_score)	[ "def", "remove_absolute_impute__r2", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "remove_impute", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "0", ",", "num_fcounts", ",", "sklearn", ".", "metrics", ".", "r2_score", ")" ]	Remove Absolute (impute) xlabel = "Max fraction of features removed" ylabel = "1 - R^2" transform = "one_minus" sort_order = 9	[ "Remove", "Absolute", "(", "impute", ")", "xlabel", "=", "Max", "fraction", "of", "features", "removed", "ylabel", "=", "1", "-", "R^2", "transform", "=", "one_minus", "sort_order", "=", "9" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L324-L331	train	Remove absolute impute.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(48) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(175 - 127) + chr(0b111101 + 0o62) + '\x31' + '\065' + chr(54), 0o10), ehT0Px3KOsy9(chr(1248 - 1200) + chr(0b1101111) + chr(0b100011 + 0o16) + '\x37' + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1464 - 1353) + chr(55) + chr(0b110101), 61906 - 61898), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(49) + '\065' + chr(0b11000 + 0o32), 54379 - 54371), ehT0Px3KOsy9(chr(1498 - 1450) + chr(2884 - 2773) + '\062' + '\060' + chr(0b110010 + 0o2), 3687 - 3679), ehT0Px3KOsy9(chr(1516 - 1468) + chr(0b1101111) + chr(49) + chr(2182 - 2130), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(951 - 840) + chr(159 - 110) + '\063' + chr(1760 - 1707), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b11110 + 0o27) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + chr(2263 - 2212), 2203 - 2195), ehT0Px3KOsy9(chr(264 - 216) + chr(10131 - 10020) + '\061' + chr(0b110000) + chr(0b101100 + 0o7), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b110001) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10067 - 9956) + chr(0b101000 + 0o11) + chr(52) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + '\x33' + '\061' + chr(50), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(1285 - 1235) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(55) + '\066', 30790 - 30782), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(55) + chr(49), 29130 - 29122), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4886 - 4775) + '\x32' + chr(48) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\067' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(2168 - 2057) + chr(0b11000 + 0o32) + '\x32' + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\066' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(62 - 13) + '\x35' + '\x34', 22815 - 22807), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(868 - 815) + chr(50), 55076 - 55068), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + '\064' + '\061', 60372 - 60364), ehT0Px3KOsy9(chr(660 - 612) + chr(0b1101111) + '\x37' + chr(0b10111 + 0o34), 0b1000), ehT0Px3KOsy9(chr(48) + chr(1226 - 1115) + chr(0b110011) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(55) + '\x33', 8), ehT0Px3KOsy9(chr(936 - 888) + chr(2179 - 2068) + '\x31' + '\x30' + chr(51), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2110 - 2060) + chr(519 - 469) + chr(0b10010 + 0o36), 668 - 660), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b11011 + 0o27) + chr(48), 0o10), ehT0Px3KOsy9(chr(1154 - 1106) + '\157' + chr(50) + chr(2005 - 1953), 0o10), ehT0Px3KOsy9(chr(1723 - 1675) + '\x6f' + '\063' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(399 - 350) + chr(1977 - 1925) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(1772 - 1723) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b111110 + 0o61) + chr(0b1011 + 0o51) + '\061', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(1288 - 1239) + chr(54) + chr(2209 - 2159), 1388 - 1380), ehT0Px3KOsy9('\060' + '\157' + chr(55) + chr(53), 8), ehT0Px3KOsy9(chr(48) + chr(11202 - 11091) + chr(0b11010 + 0o27) + '\x31' + chr(0b110010 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(0b110001) + chr(0b110000) + chr(2196 - 2145), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\065' + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'm'), chr(0b100111 + 0o75) + chr(5675 - 5574) + chr(0b1100011) + chr(0b1101111) + chr(0b1011 + 0o131) + '\x65')(chr(0b1011111 + 0o26) + chr(2889 - 2773) + chr(2061 - 1959) + chr(462 - 417) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def bP25pV99lj2V(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9(chr(0b110000) + chr(0b1100010 + 0o15) + chr(0b101101 + 0o4) + chr(2518 - 2467), ord("\x08"))): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'1\x0b\x16R\x1c\xe1S4\x83[6\xfe\x01'), chr(1401 - 1301) + chr(0b1100101) + '\143' + '\x6f' + chr(4419 - 4319) + chr(1791 - 1690))(chr(0b1011010 + 0o33) + '\x74' + chr(102) + '\x2d' + chr(2710 - 2654))), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9(chr(1980 - 1932) + chr(0b1101111) + chr(48), ord("\x08")), Lm3YAkMr8_zu, xafqLlk3kkUe(U_a7OzgTlwvr.metrics, xafqLlk3kkUe(SXOLrMavuUCe(b'1\\$N\t\xeb~8'), chr(100) + chr(0b10001 + 0o124) + '\x63' + '\157' + '\x64' + chr(0b11000 + 0o115))(chr(11708 - 11591) + '\164' + '\146' + chr(558 - 513) + chr(1760 - 1704))))
slundberg/shap	shap/benchmark/metrics.py	remove_absolute_impute__roc_auc	def remove_absolute_impute__roc_auc(X, y, model_generator, method_name, num_fcounts=11): """ Remove Absolute (impute) xlabel = "Max fraction of features removed" ylabel = "1 - ROC AUC" transform = "one_minus" sort_order = 9 """ return __run_measure(measures.remove_mask, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.roc_auc_score)	python	def remove_absolute_impute__roc_auc(X, y, model_generator, method_name, num_fcounts=11): """ Remove Absolute (impute) xlabel = "Max fraction of features removed" ylabel = "1 - ROC AUC" transform = "one_minus" sort_order = 9 """ return __run_measure(measures.remove_mask, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.roc_auc_score)	[ "def", "remove_absolute_impute__roc_auc", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "remove_mask", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "0", ",", "num_fcounts", ",", "sklearn", ".", "metrics", ".", "roc_auc_score", ")" ]	Remove Absolute (impute) xlabel = "Max fraction of features removed" ylabel = "1 - ROC AUC" transform = "one_minus" sort_order = 9	[ "Remove", "Absolute", "(", "impute", ")", "xlabel", "=", "Max", "fraction", "of", "features", "removed", "ylabel", "=", "1", "-", "ROC", "AUC", "transform", "=", "one_minus", "sort_order", "=", "9" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L333-L340	train	Remove absolute impute.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\067' + chr(0b100011 + 0o21), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(1900 - 1851) + chr(0b110001 + 0o4), 16671 - 16663), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\x31' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1392 - 1344) + chr(8253 - 8142) + chr(0b110010) + chr(0b110001), 25901 - 25893), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(9881 - 9770) + chr(1376 - 1325) + '\x37' + chr(0b10010 + 0o37), 1994 - 1986), ehT0Px3KOsy9('\x30' + chr(11561 - 11450) + chr(115 - 65) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b100000 + 0o117) + '\062' + chr(0b110001) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b11100 + 0o123) + chr(2179 - 2128) + chr(0b101100 + 0o10) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110111) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1330 - 1277) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + '\x33' + '\x30' + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(147 - 93), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9874 - 9763) + chr(0b10 + 0o57) + '\x31' + chr(1396 - 1345), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100111 + 0o10) + chr(0b110001), 43171 - 43163), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b110110 + 0o71) + chr(51) + chr(52) + chr(1892 - 1840), ord("\x08")), ehT0Px3KOsy9(chr(429 - 381) + chr(111) + chr(0b110111) + chr(1312 - 1258), 47703 - 47695), ehT0Px3KOsy9(chr(1773 - 1725) + '\x6f' + '\064', 26128 - 26120), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b10 + 0o155) + '\061' + chr(0b110 + 0o60) + chr(0b11010 + 0o31), 0b1000), ehT0Px3KOsy9('\060' + chr(12158 - 12047) + chr(879 - 828) + chr(51) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1834 - 1786) + chr(0b1101111) + '\x33' + '\063' + chr(0b11 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + '\x33' + chr(51) + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2369 - 2318) + chr(0b100101 + 0o17) + '\x36', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101 + 0o55) + '\x32' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1001 + 0o52) + chr(0b110010) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(194 - 145) + chr(51) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1011 + 0o47) + chr(0b110010) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\065' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(0b110011) + chr(0b110111) + chr(0b1101 + 0o52), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b1001 + 0o55), 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + '\x32' + chr(0b100010 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b11000 + 0o31), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b110001) + '\x30', 34999 - 34991), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b101011 + 0o13) + chr(0b110111), 6152 - 6144), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110110) + '\x37', 18161 - 18153), ehT0Px3KOsy9('\060' + chr(0b1100101 + 0o12) + chr(0b110011) + chr(602 - 549) + chr(0b110110), 45270 - 45262), ehT0Px3KOsy9(chr(1675 - 1627) + '\157' + chr(1493 - 1444) + chr(54), 8), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b11 + 0o154) + '\061' + chr(0b110011) + chr(53), 27962 - 27954)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + chr(2199 - 2146) + chr(2269 - 2221), 48087 - 48079)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2'), chr(3289 - 3189) + chr(101) + '\143' + '\x6f' + '\x64' + chr(0b111001 + 0o54))('\x75' + '\164' + '\x66' + '\x2d' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def iIY8NHI1Vy0s(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(2166 - 2115), 0o10)): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\xa8c!g\x9cI\xe4\x87IG'), '\x64' + '\145' + '\143' + chr(0b1101111) + chr(0b111010 + 0o52) + chr(5029 - 4928))('\x75' + '\x74' + chr(7244 - 7142) + chr(45) + chr(56))), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(1117 - 1069), 0o10), Lm3YAkMr8_zu, xafqLlk3kkUe(U_a7OzgTlwvr.metrics, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\xa2m\x11p\x8cu\xd6\x95YC\xb1c'), '\144' + chr(101) + chr(4061 - 3962) + chr(8130 - 8019) + chr(0b1100100) + '\145')(chr(0b1101111 + 0o6) + chr(116) + '\x66' + '\055' + chr(823 - 767))))
slundberg/shap	shap/benchmark/metrics.py	keep_negative_retrain	def keep_negative_retrain(X, y, model_generator, method_name, num_fcounts=11): """ Keep Negative (retrain) xlabel = "Max fraction of features kept" ylabel = "Negative mean model output" transform = "negate" sort_order = 7 """ return __run_measure(measures.keep_retrain, X, y, model_generator, method_name, -1, num_fcounts, __mean_pred)	python	def keep_negative_retrain(X, y, model_generator, method_name, num_fcounts=11): """ Keep Negative (retrain) xlabel = "Max fraction of features kept" ylabel = "Negative mean model output" transform = "negate" sort_order = 7 """ return __run_measure(measures.keep_retrain, X, y, model_generator, method_name, -1, num_fcounts, __mean_pred)	[ "def", "keep_negative_retrain", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "keep_retrain", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "-", "1", ",", "num_fcounts", ",", "__mean_pred", ")" ]	Keep Negative (retrain) xlabel = "Max fraction of features kept" ylabel = "Negative mean model output" transform = "negate" sort_order = 7	[ "Keep", "Negative", "(", "retrain", ")", "xlabel", "=", "Max", "fraction", "of", "features", "kept", "ylabel", "=", "Negative", "mean", "model", "output", "transform", "=", "negate", "sort_order", "=", "7" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L351-L358	train	Keep negative retraining	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(52) + chr(1160 - 1111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1000010 + 0o55) + '\x33' + '\x34' + chr(0b100011 + 0o20), 0b1000), ehT0Px3KOsy9(chr(1422 - 1374) + chr(111) + '\x36' + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(314 - 203) + '\064' + chr(48), 14530 - 14522), ehT0Px3KOsy9('\060' + chr(3469 - 3358) + chr(1955 - 1906) + chr(1778 - 1727) + chr(0b101011 + 0o11), 13361 - 13353), ehT0Px3KOsy9(chr(1393 - 1345) + '\x6f' + chr(49) + chr(53), 4349 - 4341), ehT0Px3KOsy9(chr(2151 - 2103) + chr(0b10000 + 0o137) + chr(854 - 802) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1298 - 1250) + chr(111) + '\063' + '\x35' + chr(0b1100 + 0o51), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(1761 - 1711) + '\x30' + chr(285 - 234), 0b1000), ehT0Px3KOsy9(chr(533 - 485) + chr(11695 - 11584) + chr(0b110110 + 0o0) + '\x37', 8), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1000110 + 0o51) + '\x31' + chr(2552 - 2498) + chr(2052 - 2003), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + '\x37' + chr(1139 - 1090), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(0b110001) + chr(54) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b1011 + 0o50) + chr(1634 - 1586) + chr(54), 0o10), ehT0Px3KOsy9(chr(408 - 360) + '\157' + '\063' + '\060', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100001 + 0o22) + chr(1931 - 1876) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1992 - 1944) + chr(0b1101111) + '\x33' + '\x31' + chr(0b11010 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1101 + 0o46) + chr(1508 - 1453), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b100110 + 0o111) + '\063' + '\x31' + '\064', 31435 - 31427), ehT0Px3KOsy9(chr(1032 - 984) + '\157' + chr(0b110011) + chr(115 - 64) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\x37' + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(7419 - 7308) + chr(2526 - 2475) + '\064' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1367 - 1313) + chr(0b10010 + 0o41), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(53) + chr(1599 - 1545), 6586 - 6578), ehT0Px3KOsy9(chr(881 - 833) + chr(2123 - 2012) + '\062' + chr(0b1110 + 0o47) + chr(52), 51735 - 51727), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(632 - 581) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(930 - 880) + chr(49) + chr(2136 - 2082), 6691 - 6683), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(0b10111 + 0o32) + '\x30' + chr(1582 - 1534), 30872 - 30864), ehT0Px3KOsy9('\060' + chr(10278 - 10167) + chr(0b1000 + 0o51) + chr(0b11100 + 0o26) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1698 - 1645) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\x35' + chr(0b110000), 45918 - 45910), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + '\x30' + chr(0b110110), 30666 - 30658), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b100 + 0o54) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(7726 - 7615) + '\x30', 0b1000), ehT0Px3KOsy9(chr(1250 - 1202) + chr(0b1101111) + chr(0b110010) + chr(52), 56711 - 56703), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1252 - 1203) + chr(51) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(1158 - 1110) + chr(0b1101111) + chr(2426 - 2375) + chr(2899 - 2844) + chr(0b1100 + 0o50), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + '\063' + chr(0b110101) + chr(0b110110), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(53) + chr(794 - 746), 44334 - 44326)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'O'), chr(100) + '\145' + chr(0b1100 + 0o127) + '\157' + chr(1566 - 1466) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + chr(45) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def fNmU22cO6slv(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9('\x30' + chr(111) + chr(525 - 476) + chr(296 - 245), 0o10)): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'\n\x86Rh\x7f.hQ\x9f\xe2^\x1f'), '\144' + chr(101) + chr(99) + chr(507 - 396) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\x74' + '\x66' + '\055' + '\070')), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, -ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31', 12685 - 12677), Lm3YAkMr8_zu, vsQEwoF6xUhH)
slundberg/shap	shap/benchmark/metrics.py	remove_positive_retrain	def remove_positive_retrain(X, y, model_generator, method_name, num_fcounts=11): """ Remove Positive (retrain) xlabel = "Max fraction of features removed" ylabel = "Negative mean model output" transform = "negate" sort_order = 11 """ return __run_measure(measures.remove_retrain, X, y, model_generator, method_name, 1, num_fcounts, __mean_pred)	python	def remove_positive_retrain(X, y, model_generator, method_name, num_fcounts=11): """ Remove Positive (retrain) xlabel = "Max fraction of features removed" ylabel = "Negative mean model output" transform = "negate" sort_order = 11 """ return __run_measure(measures.remove_retrain, X, y, model_generator, method_name, 1, num_fcounts, __mean_pred)	[ "def", "remove_positive_retrain", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_measure", "(", "measures", ".", "remove_retrain", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "1", ",", "num_fcounts", ",", "__mean_pred", ")" ]	Remove Positive (retrain) xlabel = "Max fraction of features removed" ylabel = "Negative mean model output" transform = "negate" sort_order = 11	[ "Remove", "Positive", "(", "retrain", ")", "xlabel", "=", "Max", "fraction", "of", "features", "removed", "ylabel", "=", "Negative", "mean", "model", "output", "transform", "=", "negate", "sort_order", "=", "11" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L360-L367	train	Remove positive retraining.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1931 - 1883) + '\157' + chr(0b110 + 0o55) + chr(0b110101) + chr(0b11101 + 0o31), 0b1000), ehT0Px3KOsy9(chr(1573 - 1525) + '\x6f' + chr(387 - 336) + chr(0b110001 + 0o5) + chr(0b110001), 52067 - 52059), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100 + 0o55) + chr(53) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(837 - 789) + '\157' + chr(0b101011 + 0o6) + chr(0b110100) + chr(0b100010 + 0o23), 0b1000), ehT0Px3KOsy9(chr(95 - 47) + chr(0b1101111) + '\x32' + '\x37', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\066' + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(3625 - 3514) + '\x32' + chr(0b110111) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(111) + chr(2646 - 2594) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(0b110010) + chr(2578 - 2523), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\066' + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(0b110011) + '\060' + '\x36', 11630 - 11622), ehT0Px3KOsy9('\060' + chr(6932 - 6821) + '\x31' + '\x34' + chr(0b100101 + 0o14), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + chr(1082 - 1032) + chr(55) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(9838 - 9727) + '\x33' + chr(1725 - 1676) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1010111 + 0o30) + '\x31' + chr(528 - 480) + chr(1286 - 1233), 52627 - 52619), ehT0Px3KOsy9('\x30' + chr(0b1000011 + 0o54) + chr(0b100001 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(0b1101 + 0o44) + '\061' + chr(0b1101 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\064' + chr(0b10101 + 0o42), 23661 - 23653), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(1905 - 1856) + '\x35' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + chr(49) + '\x36' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(52) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2346 - 2297) + chr(52) + chr(0b0 + 0o61), 8), ehT0Px3KOsy9(chr(825 - 777) + chr(511 - 400) + '\x32' + chr(0b10110 + 0o33) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(11298 - 11187) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(1565 - 1517) + '\x6f' + chr(0b110010) + chr(0b101001 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4326 - 4215) + chr(0b110011) + chr(0b110000) + '\065', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b110100) + chr(51), 49179 - 49171), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b10100 + 0o40) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + chr(1156 - 1106) + chr(1763 - 1715) + chr(1497 - 1449), 0b1000), ehT0Px3KOsy9(chr(707 - 659) + chr(8587 - 8476) + chr(0b110011) + chr(0b110000 + 0o1) + chr(0b11000 + 0o36), 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + chr(50) + '\x30' + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + chr(0b101110 + 0o4) + '\x34' + chr(2213 - 2165), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1382 - 1331) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(8615 - 8504) + chr(51) + chr(1939 - 1889) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10101 + 0o34) + chr(0b11111 + 0o21), 37306 - 37298), ehT0Px3KOsy9(chr(0b110000) + chr(0b11000 + 0o127) + chr(0b100101 + 0o15) + chr(0b110100) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(50) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(49) + '\064' + '\064', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\x30', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(834 - 786) + chr(111) + '\x35' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0'), chr(0b1001101 + 0o27) + chr(0b1100101) + chr(99) + chr(111) + '\144' + '\x65')('\165' + chr(0b101 + 0o157) + chr(102) + chr(120 - 75) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def H9iEKTy3bkoK(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9('\x30' + chr(5558 - 5447) + chr(398 - 349) + chr(788 - 737), 0o10)): return APjj2sKT7edx(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x94\x00\na\x13\xe4Sr\x85\xb4\x00\xd5\xa6'), chr(8014 - 7914) + chr(0b1100101) + chr(99) + '\157' + chr(0b110111 + 0o55) + chr(2861 - 2760))('\x75' + '\x74' + '\146' + '\x2d' + '\x38')), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001), 35537 - 35529), Lm3YAkMr8_zu, vsQEwoF6xUhH)
slundberg/shap	shap/benchmark/metrics.py	batch_remove_absolute_retrain__r2	def batch_remove_absolute_retrain__r2(X, y, model_generator, method_name, num_fcounts=11): """ Batch Remove Absolute (retrain) xlabel = "Fraction of features removed" ylabel = "1 - R^2" transform = "one_minus" sort_order = 13 """ return __run_batch_abs_metric(measures.batch_remove_retrain, X, y, model_generator, method_name, sklearn.metrics.r2_score, num_fcounts)	python	def batch_remove_absolute_retrain__r2(X, y, model_generator, method_name, num_fcounts=11): """ Batch Remove Absolute (retrain) xlabel = "Fraction of features removed" ylabel = "1 - R^2" transform = "one_minus" sort_order = 13 """ return __run_batch_abs_metric(measures.batch_remove_retrain, X, y, model_generator, method_name, sklearn.metrics.r2_score, num_fcounts)	[ "def", "batch_remove_absolute_retrain__r2", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_batch_abs_metric", "(", "measures", ".", "batch_remove_retrain", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "sklearn", ".", "metrics", ".", "r2_score", ",", "num_fcounts", ")" ]	Batch Remove Absolute (retrain) xlabel = "Fraction of features removed" ylabel = "1 - R^2" transform = "one_minus" sort_order = 13	[ "Batch", "Remove", "Absolute", "(", "retrain", ")", "xlabel", "=", "Fraction", "of", "features", "removed", "ylabel", "=", "1", "-", "R^2", "transform", "=", "one_minus", "sort_order", "=", "13" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L394-L401	train	Batch Remove Absolute Retrain	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b110010 + 0o2) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(90 - 40), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(1818 - 1768) + chr(399 - 351), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1357 - 1306) + chr(817 - 767) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(0b1101 + 0o45) + chr(48), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b110111) + chr(2307 - 2252), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\x34' + '\x31', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + '\x37' + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(2486 - 2432) + '\x37', 19976 - 19968), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101111 + 0o2) + '\066' + chr(2173 - 2118), ord("\x08")), ehT0Px3KOsy9(chr(273 - 225) + chr(0b1101111) + '\x31' + chr(0b11 + 0o61) + chr(48), 0o10), ehT0Px3KOsy9(chr(1546 - 1498) + chr(7377 - 7266) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(756 - 708) + chr(11460 - 11349) + '\062' + '\x31' + chr(0b110011), 27071 - 27063), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1309 - 1259) + '\067' + chr(0b110100), 14691 - 14683), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(111) + chr(0b100110 + 0o14) + chr(0b101100 + 0o10) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(1241 - 1192) + chr(528 - 475), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x35' + chr(1488 - 1439), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + chr(50) + chr(53) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b1010 + 0o52) + chr(418 - 366), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + chr(0b110001), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(555 - 505) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11101 + 0o25) + chr(1422 - 1368) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(1748 - 1696) + chr(2209 - 2159), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(828 - 778) + chr(1679 - 1626) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\x37', 0o10), ehT0Px3KOsy9(chr(63 - 15) + chr(0b110 + 0o151) + chr(50) + '\060' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(55), 14182 - 14174), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(0b110010) + '\067' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + '\x31' + chr(0b100000 + 0o22), 3807 - 3799), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(49) + chr(49), 45719 - 45711), ehT0Px3KOsy9('\x30' + chr(0b110011 + 0o74) + '\x32' + '\063' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + chr(49) + chr(0b100101 + 0o17) + '\066', 0b1000), ehT0Px3KOsy9(chr(1449 - 1401) + chr(2231 - 2120) + '\x32' + chr(50) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(48) + chr(736 - 687), 26097 - 26089), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(0b100100 + 0o17) + '\x35' + '\x34', 0o10), ehT0Px3KOsy9(chr(881 - 833) + '\157' + chr(51) + '\x37' + '\064', 36188 - 36180), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(0b1110 + 0o45) + chr(2260 - 2208) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(55) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010010 + 0o35) + chr(924 - 874) + chr(2191 - 2136) + '\065', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\x33', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(2497 - 2444) + chr(565 - 517), 6151 - 6143)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f'), '\x64' + '\145' + chr(99) + chr(0b1101111) + '\144' + chr(0b10 + 0o143))(chr(0b1011001 + 0o34) + chr(9548 - 9432) + chr(6628 - 6526) + '\055' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def knBhzACSbhCK(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9('\x30' + chr(111) + chr(2071 - 2022) + chr(0b100 + 0o57), 37720 - 37712)): return YLrPdFen61U0(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3c$\xb08\xa0\xd3\xdcZ\x18\x16d\xd4\xce\xc7y[\xcd\ro'), chr(100) + '\x65' + '\143' + chr(0b111010 + 0o65) + chr(100) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(2184 - 2082) + chr(266 - 221) + '\x38')), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, xafqLlk3kkUe(U_a7OzgTlwvr.metrics, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd30\x0f\xa03\x90\xd3\xdc'), chr(0b1001101 + 0o27) + '\145' + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1001110 + 0o27))('\x75' + '\x74' + '\x66' + chr(0b100 + 0o51) + chr(2896 - 2840))), Lm3YAkMr8_zu)
slundberg/shap	shap/benchmark/metrics.py	batch_keep_absolute_retrain__r2	def batch_keep_absolute_retrain__r2(X, y, model_generator, method_name, num_fcounts=11): """ Batch Keep Absolute (retrain) xlabel = "Fraction of features kept" ylabel = "R^2" transform = "identity" sort_order = 13 """ return __run_batch_abs_metric(measures.batch_keep_retrain, X, y, model_generator, method_name, sklearn.metrics.r2_score, num_fcounts)	python	def batch_keep_absolute_retrain__r2(X, y, model_generator, method_name, num_fcounts=11): """ Batch Keep Absolute (retrain) xlabel = "Fraction of features kept" ylabel = "R^2" transform = "identity" sort_order = 13 """ return __run_batch_abs_metric(measures.batch_keep_retrain, X, y, model_generator, method_name, sklearn.metrics.r2_score, num_fcounts)	[ "def", "batch_keep_absolute_retrain__r2", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_batch_abs_metric", "(", "measures", ".", "batch_keep_retrain", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "sklearn", ".", "metrics", ".", "r2_score", ",", "num_fcounts", ")" ]	Batch Keep Absolute (retrain) xlabel = "Fraction of features kept" ylabel = "R^2" transform = "identity" sort_order = 13	[ "Batch", "Keep", "Absolute", "(", "retrain", ")", "xlabel", "=", "Fraction", "of", "features", "kept", "ylabel", "=", "R^2", "transform", "=", "identity", "sort_order", "=", "13" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L403-L410	train	Batch Keep Absolute Retrain model.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1085 - 1035) + '\063' + chr(1905 - 1855), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b110101) + chr(0b11111 + 0o27), 12108 - 12100), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b10011 + 0o43) + '\x36', 0b1000), ehT0Px3KOsy9(chr(1476 - 1428) + '\x6f' + chr(848 - 797) + '\065' + chr(54), 17380 - 17372), ehT0Px3KOsy9('\x30' + chr(0b1000000 + 0o57) + '\061' + chr(1866 - 1814) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\x6f' + '\062' + '\067' + chr(54), 0o10), ehT0Px3KOsy9(chr(2061 - 2013) + '\x6f' + '\061' + chr(0b110000) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(0b110110) + chr(2458 - 2407), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + '\067' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(683 - 630) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\x32' + chr(1229 - 1178), 0o10), ehT0Px3KOsy9('\060' + chr(0b111100 + 0o63) + chr(0b110001) + chr(0b110000) + '\064', 24904 - 24896), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + '\x33' + chr(483 - 432) + chr(1758 - 1703), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2156 - 2045) + chr(418 - 367) + chr(52) + '\060', 45366 - 45358), ehT0Px3KOsy9(chr(1679 - 1631) + chr(7673 - 7562) + chr(1355 - 1304) + '\x37' + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b1110 + 0o50) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(50) + chr(0b100111 + 0o15), 0o10), ehT0Px3KOsy9(chr(1906 - 1858) + chr(0b1101111) + chr(0b110111) + '\x34', 16350 - 16342), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(907 - 856) + chr(2520 - 2465), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2727 - 2616) + chr(0b101100 + 0o5) + '\x30' + chr(0b101000 + 0o15), 19810 - 19802), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(49) + chr(1850 - 1802) + chr(854 - 800), 0b1000), ehT0Px3KOsy9(chr(155 - 107) + '\157' + '\062' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(5008 - 4897) + chr(51) + chr(317 - 265) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10011 + 0o134) + chr(49) + chr(53) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(1315 - 1204) + chr(368 - 319) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\067' + '\x37', 8), ehT0Px3KOsy9(chr(0b110000) + chr(1736 - 1625) + chr(0b100001 + 0o22) + chr(0b110010) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1352 - 1300) + chr(0b1100 + 0o46), 0b1000), ehT0Px3KOsy9(chr(1881 - 1833) + chr(1987 - 1876) + chr(921 - 872) + chr(0b110110) + '\061', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1100 + 0o46) + '\x37' + chr(2493 - 2438), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5426 - 5315) + chr(0b110010) + '\x30' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001100 + 0o43) + chr(786 - 736) + '\x37' + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5505 - 5394) + chr(0b110010) + chr(53) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(2118 - 2070) + '\157' + chr(0b10110 + 0o36) + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + chr(7082 - 6971) + chr(0b110001) + chr(1630 - 1576) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(464 - 416) + '\x6f' + chr(0b101100 + 0o6) + chr(0b101 + 0o55) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(1947 - 1836) + chr(556 - 505) + chr(49) + '\065', 55423 - 55415), ehT0Px3KOsy9(chr(48) + '\157' + '\066' + chr(53), 21120 - 21112), ehT0Px3KOsy9(chr(0b110000) + chr(1155 - 1044) + chr(0b110011) + '\066' + '\062', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10010 + 0o41) + '\064' + '\x33', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1495 - 1447) + chr(0b1001 + 0o146) + chr(0b110101) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4'), '\144' + chr(101) + chr(0b1100011) + chr(111) + chr(100) + chr(3769 - 3668))(chr(12197 - 12080) + chr(0b1110100) + chr(4551 - 4449) + '\055' + chr(0b101111 + 0o11)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def mfQYA9833s68(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\x33', 55109 - 55101)): return YLrPdFen61U0(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8O\x02\x8d\x08\xe1(V\x9a\x1a\x8c6\xba\x94\x8c\x10=R'), chr(0b101101 + 0o67) + '\x65' + '\143' + chr(0b1101111) + chr(0b100011 + 0o101) + chr(101))('\165' + chr(116) + '\x66' + chr(0b101101) + chr(0b1 + 0o67))), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, xafqLlk3kkUe(U_a7OzgTlwvr.metrics, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\x1c)\x9d\x03\xd11V'), '\144' + '\145' + chr(0b1100011) + '\x6f' + chr(100) + '\x65')(chr(5064 - 4947) + chr(9780 - 9664) + chr(0b1001101 + 0o31) + '\055' + chr(56))), Lm3YAkMr8_zu)
slundberg/shap	shap/benchmark/metrics.py	batch_remove_absolute_retrain__roc_auc	def batch_remove_absolute_retrain__roc_auc(X, y, model_generator, method_name, num_fcounts=11): """ Batch Remove Absolute (retrain) xlabel = "Fraction of features removed" ylabel = "1 - ROC AUC" transform = "one_minus" sort_order = 13 """ return __run_batch_abs_metric(measures.batch_remove_retrain, X, y, model_generator, method_name, sklearn.metrics.roc_auc_score, num_fcounts)	python	def batch_remove_absolute_retrain__roc_auc(X, y, model_generator, method_name, num_fcounts=11): """ Batch Remove Absolute (retrain) xlabel = "Fraction of features removed" ylabel = "1 - ROC AUC" transform = "one_minus" sort_order = 13 """ return __run_batch_abs_metric(measures.batch_remove_retrain, X, y, model_generator, method_name, sklearn.metrics.roc_auc_score, num_fcounts)	[ "def", "batch_remove_absolute_retrain__roc_auc", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_batch_abs_metric", "(", "measures", ".", "batch_remove_retrain", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "sklearn", ".", "metrics", ".", "roc_auc_score", ",", "num_fcounts", ")" ]	Batch Remove Absolute (retrain) xlabel = "Fraction of features removed" ylabel = "1 - ROC AUC" transform = "one_minus" sort_order = 13	[ "Batch", "Remove", "Absolute", "(", "retrain", ")", "xlabel", "=", "Fraction", "of", "features", "removed", "ylabel", "=", "1", "-", "ROC", "AUC", "transform", "=", "one_minus", "sort_order", "=", "13" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L412-L419	train	Batch Remove Absolute Retrain	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b110001) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100100 + 0o13) + chr(0b110 + 0o55) + chr(55) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3319 - 3208) + chr(1095 - 1044) + '\x37' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(1140 - 1086) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2382 - 2332) + chr(0b110100) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b111101 + 0o62) + chr(49) + '\066' + chr(2193 - 2142), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x36' + chr(2027 - 1972), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + '\x32' + chr(438 - 383) + chr(55), 30455 - 30447), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\x36' + '\x37', 8), ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + chr(0b1 + 0o63) + chr(0b101001 + 0o15), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3008 - 2897) + chr(0b110010) + '\x37' + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(667 - 618) + '\066' + '\x33', 8), ehT0Px3KOsy9(chr(1539 - 1491) + '\x6f' + chr(0b110010) + '\x35' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\061' + chr(0b100000 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(934 - 885) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11101 + 0o26) + chr(0b110001) + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101010 + 0o5) + '\x32' + chr(0b110010) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(174 - 125) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + '\066' + chr(0b100000 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(53) + chr(0b110000), 8), ehT0Px3KOsy9(chr(634 - 586) + chr(0b1101111) + '\063' + chr(0b110000) + chr(0b1101 + 0o51), 22568 - 22560), ehT0Px3KOsy9(chr(48) + chr(0b10001 + 0o136) + chr(2327 - 2278) + chr(49) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + '\x34' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101 + 0o55) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001010 + 0o45) + chr(0b1000 + 0o51) + chr(0b110100 + 0o2) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b110011) + chr(0b110001 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10011 + 0o37) + '\063' + '\x30', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b11010 + 0o27) + '\062' + chr(0b110001), 15807 - 15799), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10001 + 0o41) + chr(1626 - 1578) + '\063', 24413 - 24405), ehT0Px3KOsy9('\x30' + chr(0b1 + 0o156) + chr(0b110010) + chr(52) + chr(0b101110 + 0o2), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(52) + '\x34', 52430 - 52422), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(3250 - 3139) + '\062' + chr(1146 - 1092) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + '\x33' + chr(1219 - 1165) + '\062', 15866 - 15858), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11110 + 0o30) + chr(52), 48686 - 48678), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(111) + '\x32' + chr(290 - 239) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1010111 + 0o30) + chr(51) + '\062' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100111 + 0o14) + chr(2693 - 2641) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110100) + '\x31', 23227 - 23219)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1127 - 1079) + chr(8786 - 8675) + chr(2599 - 2546) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7'), chr(903 - 803) + '\x65' + chr(0b1100011) + chr(0b11101 + 0o122) + chr(0b1100100) + '\145')('\165' + chr(116) + chr(102) + '\x2d' + chr(3059 - 3003)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def qY8sjxTimKZl(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x33', 0b1000)): return YLrPdFen61U0(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\x9c\x8a\x94\xce,E\xda\x9aI\xcc\x16\xf7<j\xbb\xe2f\xe0^'), '\x64' + chr(0b1100101) + '\143' + chr(111) + chr(5384 - 5284) + chr(0b111101 + 0o50))('\x75' + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b1010 + 0o56))), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, xafqLlk3kkUe(U_a7OzgTlwvr.metrics, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb\x92\x9d\xa8\xc7\x06T\xe0\x84E\xd5\x01\xcd'), chr(3430 - 3330) + '\145' + '\143' + chr(0b110 + 0o151) + chr(100) + chr(0b1000010 + 0o43))(chr(0b1110101) + chr(5271 - 5155) + '\146' + chr(0b10100 + 0o31) + chr(0b11 + 0o65))), Lm3YAkMr8_zu)
slundberg/shap	shap/benchmark/metrics.py	batch_keep_absolute_retrain__roc_auc	def batch_keep_absolute_retrain__roc_auc(X, y, model_generator, method_name, num_fcounts=11): """ Batch Keep Absolute (retrain) xlabel = "Fraction of features kept" ylabel = "ROC AUC" transform = "identity" sort_order = 13 """ return __run_batch_abs_metric(measures.batch_keep_retrain, X, y, model_generator, method_name, sklearn.metrics.roc_auc_score, num_fcounts)	python	def batch_keep_absolute_retrain__roc_auc(X, y, model_generator, method_name, num_fcounts=11): """ Batch Keep Absolute (retrain) xlabel = "Fraction of features kept" ylabel = "ROC AUC" transform = "identity" sort_order = 13 """ return __run_batch_abs_metric(measures.batch_keep_retrain, X, y, model_generator, method_name, sklearn.metrics.roc_auc_score, num_fcounts)	[ "def", "batch_keep_absolute_retrain__roc_auc", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "num_fcounts", "=", "11", ")", ":", "return", "__run_batch_abs_metric", "(", "measures", ".", "batch_keep_retrain", ",", "X", ",", "y", ",", "model_generator", ",", "method_name", ",", "sklearn", ".", "metrics", ".", "roc_auc_score", ",", "num_fcounts", ")" ]	Batch Keep Absolute (retrain) xlabel = "Fraction of features kept" ylabel = "ROC AUC" transform = "identity" sort_order = 13	[ "Batch", "Keep", "Absolute", "(", "retrain", ")", "xlabel", "=", "Fraction", "of", "features", "kept", "ylabel", "=", "ROC", "AUC", "transform", "=", "identity", "sort_order", "=", "13" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L421-L428	train	Batch Keep Absolute Retrain model.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b110011) + chr(0b10 + 0o63) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10000 + 0o42) + chr(1413 - 1358) + '\064', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(2279 - 2225) + chr(0b100010 + 0o17), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11759 - 11648) + chr(2598 - 2544), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + '\062' + '\062' + chr(0b110001), 32428 - 32420), ehT0Px3KOsy9('\x30' + chr(0b1000 + 0o147) + '\061' + chr(0b11101 + 0o31) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(1394 - 1343) + chr(0b11111 + 0o23) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(4220 - 4109) + chr(0b100001 + 0o20) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3527 - 3416) + '\061' + chr(1783 - 1729) + '\064', 8693 - 8685), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1010 + 0o50) + chr(0b110101) + chr(1367 - 1317), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(55) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + '\x31' + chr(1224 - 1172) + chr(765 - 717), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\x34' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\x35' + '\x33', 0b1000), ehT0Px3KOsy9(chr(2119 - 2071) + chr(0b1101111) + '\061' + chr(53) + chr(0b100001 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(0b110001) + chr(55) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + '\x32' + chr(0b101100 + 0o13) + chr(0b101000 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110111 + 0o70) + '\063' + chr(51) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000101 + 0o52) + chr(0b1101 + 0o46) + '\064' + chr(1528 - 1478), 0o10), ehT0Px3KOsy9('\060' + chr(840 - 729) + '\x31' + chr(185 - 133) + chr(2063 - 2015), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1080 - 1030) + chr(0b110110) + chr(599 - 545), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b101001 + 0o13) + '\060', 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1100 + 0o143) + '\x32' + '\067' + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b10001 + 0o46) + chr(0b110001 + 0o6), 45709 - 45701), ehT0Px3KOsy9(chr(1124 - 1076) + chr(111) + '\x33' + chr(0b101011 + 0o13) + '\065', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b110101) + chr(1959 - 1908), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + '\x31' + '\063' + '\x35', 18733 - 18725), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b10101 + 0o40) + '\061', 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + '\x32' + '\x34' + '\x30', 0o10), ehT0Px3KOsy9(chr(2240 - 2192) + chr(0b1101111) + '\x33' + chr(0b110010) + chr(0b11101 + 0o32), 0b1000), ehT0Px3KOsy9(chr(1775 - 1727) + chr(0b1101111) + '\061' + '\x32' + chr(1012 - 958), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001100 + 0o43) + chr(49) + '\x34' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1011 + 0o50) + chr(0b110000) + '\x35', 0b1000), ehT0Px3KOsy9(chr(2111 - 2063) + chr(0b1101111) + chr(0b101111 + 0o2) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1000 + 0o51) + chr(0b110100) + chr(50), 3623 - 3615), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(357 - 304), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\065' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1'), chr(754 - 654) + chr(0b1100101) + chr(0b1100011) + chr(0b100001 + 0o116) + '\x64' + chr(6608 - 6507))('\165' + '\x74' + '\146' + '\x2d' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def n6uHvvMcZtpL(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, Lm3YAkMr8_zu=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100000 + 0o21) + chr(0b110011), 5116 - 5108)): return YLrPdFen61U0(xafqLlk3kkUe(z2nMHcwx3J8z, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\xddEe\xf9-\xbfk\x11\xdadm\x05\xd0\x19\x0f\x10\xd0'), chr(1700 - 1600) + chr(0b1100101) + chr(0b1100011) + chr(0b1100111 + 0o10) + '\144' + chr(5478 - 5377))(chr(0b1011000 + 0o35) + chr(0b1011110 + 0o26) + chr(210 - 108) + '\x2d' + chr(0b110000 + 0o10))), xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ, xafqLlk3kkUe(U_a7OzgTlwvr.metrics, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\xd3RY\xf0\x07\xb7Q\x07\xc9Tm\x05'), chr(100) + '\145' + '\x63' + chr(9188 - 9077) + chr(0b1100100) + '\145')('\165' + chr(0b1110100) + '\x66' + chr(45) + '\x38')), Lm3YAkMr8_zu)
slundberg/shap	shap/benchmark/metrics.py	__score_method	def __score_method(X, y, fcounts, model_generator, score_function, method_name, nreps=10, test_size=100, cache_dir="/tmp"): """ Test an explanation method. """ old_seed = np.random.seed() np.random.seed(3293) # average the method scores over several train/test splits method_reps = [] data_hash = hashlib.sha256(__toarray(X).flatten()).hexdigest() + hashlib.sha256(__toarray(y)).hexdigest() for i in range(nreps): X_train, X_test, y_train, y_test = train_test_split(__toarray(X), y, test_size=test_size, random_state=i) # define the model we are going to explain, caching so we onlu build it once model_id = "model_cache__v" + "__".join([__version__, data_hash, model_generator.__name__])+".pickle" cache_file = os.path.join(cache_dir, model_id + ".pickle") if os.path.isfile(cache_file): with open(cache_file, "rb") as f: model = pickle.load(f) else: model = model_generator() model.fit(X_train, y_train) with open(cache_file, "wb") as f: pickle.dump(model, f) attr_key = "_".join([model_generator.__name__, method_name, str(test_size), str(nreps), str(i), data_hash]) def score(attr_function): def cached_attr_function(X_inner): if attr_key not in _attribution_cache: _attribution_cache[attr_key] = attr_function(X_inner) return _attribution_cache[attr_key] #cached_attr_function = lambda X: __check_cache(attr_function, X) if fcounts is None: return score_function(X_train, X_test, y_train, y_test, cached_attr_function, model, i) else: scores = [] for f in fcounts: scores.append(score_function(f, X_train, X_test, y_train, y_test, cached_attr_function, model, i)) return np.array(scores) # evaluate the method (only building the attribution function if we need to) if attr_key not in _attribution_cache: method_reps.append(score(getattr(methods, method_name)(model, X_train))) else: method_reps.append(score(None)) np.random.seed(old_seed) return np.array(method_reps).mean(0)	python	def __score_method(X, y, fcounts, model_generator, score_function, method_name, nreps=10, test_size=100, cache_dir="/tmp"): """ Test an explanation method. """ old_seed = np.random.seed() np.random.seed(3293) # average the method scores over several train/test splits method_reps = [] data_hash = hashlib.sha256(__toarray(X).flatten()).hexdigest() + hashlib.sha256(__toarray(y)).hexdigest() for i in range(nreps): X_train, X_test, y_train, y_test = train_test_split(__toarray(X), y, test_size=test_size, random_state=i) # define the model we are going to explain, caching so we onlu build it once model_id = "model_cache__v" + "__".join([__version__, data_hash, model_generator.__name__])+".pickle" cache_file = os.path.join(cache_dir, model_id + ".pickle") if os.path.isfile(cache_file): with open(cache_file, "rb") as f: model = pickle.load(f) else: model = model_generator() model.fit(X_train, y_train) with open(cache_file, "wb") as f: pickle.dump(model, f) attr_key = "_".join([model_generator.__name__, method_name, str(test_size), str(nreps), str(i), data_hash]) def score(attr_function): def cached_attr_function(X_inner): if attr_key not in _attribution_cache: _attribution_cache[attr_key] = attr_function(X_inner) return _attribution_cache[attr_key] #cached_attr_function = lambda X: __check_cache(attr_function, X) if fcounts is None: return score_function(X_train, X_test, y_train, y_test, cached_attr_function, model, i) else: scores = [] for f in fcounts: scores.append(score_function(f, X_train, X_test, y_train, y_test, cached_attr_function, model, i)) return np.array(scores) # evaluate the method (only building the attribution function if we need to) if attr_key not in _attribution_cache: method_reps.append(score(getattr(methods, method_name)(model, X_train))) else: method_reps.append(score(None)) np.random.seed(old_seed) return np.array(method_reps).mean(0)	[ "def", "__score_method", "(", "X", ",", "y", ",", "fcounts", ",", "model_generator", ",", "score_function", ",", "method_name", ",", "nreps", "=", "10", ",", "test_size", "=", "100", ",", "cache_dir", "=", "\"/tmp\"", ")", ":", "old_seed", "=", "np", ".", "random", ".", "seed", "(", ")", "np", ".", "random", ".", "seed", "(", "3293", ")", "# average the method scores over several train/test splits", "method_reps", "=", "[", "]", "data_hash", "=", "hashlib", ".", "sha256", "(", "__toarray", "(", "X", ")", ".", "flatten", "(", ")", ")", ".", "hexdigest", "(", ")", "+", "hashlib", ".", "sha256", "(", "__toarray", "(", "y", ")", ")", ".", "hexdigest", "(", ")", "for", "i", "in", "range", "(", "nreps", ")", ":", "X_train", ",", "X_test", ",", "y_train", ",", "y_test", "=", "train_test_split", "(", "__toarray", "(", "X", ")", ",", "y", ",", "test_size", "=", "test_size", ",", "random_state", "=", "i", ")", "# define the model we are going to explain, caching so we onlu build it once", "model_id", "=", "\"model_cache__v\"", "+", "\"__\"", ".", "join", "(", "[", "__version__", ",", "data_hash", ",", "model_generator", ".", "__name__", "]", ")", "+", "\".pickle\"", "cache_file", "=", "os", ".", "path", ".", "join", "(", "cache_dir", ",", "model_id", "+", "\".pickle\"", ")", "if", "os", ".", "path", ".", "isfile", "(", "cache_file", ")", ":", "with", "open", "(", "cache_file", ",", "\"rb\"", ")", "as", "f", ":", "model", "=", "pickle", ".", "load", "(", "f", ")", "else", ":", "model", "=", "model_generator", "(", ")", "model", ".", "fit", "(", "X_train", ",", "y_train", ")", "with", "open", "(", "cache_file", ",", "\"wb\"", ")", "as", "f", ":", "pickle", ".", "dump", "(", "model", ",", "f", ")", "attr_key", "=", "\"_\"", ".", "join", "(", "[", "model_generator", ".", "__name__", ",", "method_name", ",", "str", "(", "test_size", ")", ",", "str", "(", "nreps", ")", ",", "str", "(", "i", ")", ",", "data_hash", "]", ")", "def", "score", "(", "attr_function", ")", ":", "def", "cached_attr_function", "(", "X_inner", ")", ":", "if", "attr_key", "not", "in", "_attribution_cache", ":", "_attribution_cache", "[", "attr_key", "]", "=", "attr_function", "(", "X_inner", ")", "return", "_attribution_cache", "[", "attr_key", "]", "#cached_attr_function = lambda X: __check_cache(attr_function, X)", "if", "fcounts", "is", "None", ":", "return", "score_function", "(", "X_train", ",", "X_test", ",", "y_train", ",", "y_test", ",", "cached_attr_function", ",", "model", ",", "i", ")", "else", ":", "scores", "=", "[", "]", "for", "f", "in", "fcounts", ":", "scores", ".", "append", "(", "score_function", "(", "f", ",", "X_train", ",", "X_test", ",", "y_train", ",", "y_test", ",", "cached_attr_function", ",", "model", ",", "i", ")", ")", "return", "np", ".", "array", "(", "scores", ")", "# evaluate the method (only building the attribution function if we need to)", "if", "attr_key", "not", "in", "_attribution_cache", ":", "method_reps", ".", "append", "(", "score", "(", "getattr", "(", "methods", ",", "method_name", ")", "(", "model", ",", "X_train", ")", ")", ")", "else", ":", "method_reps", ".", "append", "(", "score", "(", "None", ")", ")", "np", ".", "random", ".", "seed", "(", "old_seed", ")", "return", "np", ".", "array", "(", "method_reps", ")", ".", "mean", "(", "0", ")" ]	Test an explanation method.	[ "Test", "an", "explanation", "method", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L446-L495	train	Test an explanation method.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + '\065' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8436 - 8325) + chr(0b110011) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(689 - 639) + chr(0b110010), 54779 - 54771), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(53) + chr(0b110001), 20588 - 20580), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\064', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(1464 - 1412) + chr(2181 - 2128), 0o10), ehT0Px3KOsy9(chr(1051 - 1003) + chr(10222 - 10111) + '\x33' + chr(0b100 + 0o54), 62389 - 62381), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8319 - 8208) + chr(49) + '\066' + chr(2365 - 2310), 22264 - 22256), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b110000) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1431 - 1376) + chr(0b11100 + 0o31), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(53) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010110 + 0o31) + chr(0b110001) + '\x33' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(4472 - 4361) + chr(1748 - 1698) + chr(0b11111 + 0o24) + chr(1857 - 1802), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1264 - 1213) + '\x33' + '\064', 40755 - 40747), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101001 + 0o10) + chr(54) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(8320 - 8209) + chr(1018 - 968) + '\x36' + chr(1355 - 1300), 23823 - 23815), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(0b1001 + 0o52) + '\x33' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + chr(0b10001 + 0o40) + '\x31' + chr(1168 - 1120), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(0b101111 + 0o2) + '\x33' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\060', 17852 - 17844), ehT0Px3KOsy9(chr(258 - 210) + '\x6f' + chr(480 - 431) + chr(49) + '\x30', 8), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b110011) + '\065' + chr(157 - 104), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1274 - 1223) + chr(0b110101) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(328 - 280) + chr(3653 - 3542) + chr(50) + chr(2422 - 2367) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(133 - 83) + chr(696 - 647) + chr(2324 - 2271), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010 + 0o145) + '\x32' + '\064' + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b110010) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(848 - 798) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + chr(1197 - 1148) + chr(51) + chr(0b110101), 8), ehT0Px3KOsy9('\060' + chr(0b1000 + 0o147) + chr(49) + '\063' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(932 - 881) + '\066' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b10000 + 0o44) + '\065', 43915 - 43907), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + chr(0b110010) + chr(0b100101 + 0o17) + chr(0b1011 + 0o52), 8), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + '\x33' + chr(0b110011) + '\062', 18117 - 18109), ehT0Px3KOsy9(chr(2284 - 2236) + chr(0b1101111) + chr(0b110000 + 0o3) + '\066' + '\064', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(2389 - 2339) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(1474 - 1423) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + chr(1711 - 1662) + chr(0b11001 + 0o30), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(6112 - 6001) + chr(0b110101) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x03'), '\144' + '\x65' + chr(99) + chr(0b1101111) + chr(0b1100011 + 0o1) + '\145')('\x75' + '\164' + '\146' + chr(0b101 + 0o50) + chr(2756 - 2700)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def ghBJDbCmnOd1(xEgrFJ0REugl, SqiSOtYOqOJH, xPQT3Zzg51aG, CfVCrMjfY5ZK, hoEJOD1eSV7c, kXYCGf8FzWpJ, y1KlG05SjSA4=ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1010101 + 0o32) + '\x31' + chr(50), 0b1000), rNKNWbA5vHOt=ehT0Px3KOsy9(chr(48) + chr(0b1111 + 0o140) + '\061' + '\064' + chr(0b101111 + 0o5), 0o10), j3fmOtvUtrP5=xafqLlk3kkUe(SXOLrMavuUCe(b'\x02j\xff\x99'), chr(100) + chr(0b10111 + 0o116) + chr(766 - 667) + chr(4091 - 3980) + chr(763 - 663) + chr(6281 - 6180))('\165' + chr(0b1110100) + chr(102) + chr(315 - 270) + chr(56))): j_gGRFcb6_BR = WqUC3KWvYVup.random.seed() xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'^{\xf7\x8d'), chr(0b1100100) + chr(0b1101 + 0o130) + '\143' + chr(111) + chr(0b1100100) + '\x65')(chr(7192 - 7075) + chr(116) + chr(9167 - 9065) + chr(0b101101) + '\x38'))(ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + chr(0b10010 + 0o44) + chr(51) + chr(0b111 + 0o54) + '\065', ord("\x08"))) L2ZqvT1Y960F = [] qp8Xr6be2JrG = sNzNrLIR8V9g.sha256(Dh4h_mRaKegh(xEgrFJ0REugl).flatten()).hexdigest() + sNzNrLIR8V9g.sha256(Dh4h_mRaKegh(SqiSOtYOqOJH)).hexdigest() for WVxHKyX45z_L in vQr8gNKaIaWE(y1KlG05SjSA4): (lBVWpm3twnT0, iWSGU7PkZMSJ, xz6TaFcNOBti, Gmt2Yn1ASYcs) = nRxlQEWF9nsG(Dh4h_mRaKegh(xEgrFJ0REugl), SqiSOtYOqOJH, test_size=rNKNWbA5vHOt, random_state=WVxHKyX45z_L) tEETbPxG0Sc7 = xafqLlk3kkUe(SXOLrMavuUCe(b'@q\xf6\x8ch\xfa{ll\x1f\xe2bq+'), chr(0b11000 + 0o114) + chr(101) + '\143' + chr(6922 - 6811) + '\144' + '\145')(chr(0b1000110 + 0o57) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b111000)) + xafqLlk3kkUe(SXOLrMavuUCe(b'rA'), '\x64' + chr(0b1100101) + '\143' + '\157' + chr(0b10100 + 0o120) + '\145')('\x75' + '\164' + '\146' + chr(0b101101) + chr(0b111000))._oWXztVNnqHF([YGf41Y6lWGfh, qp8Xr6be2JrG, CfVCrMjfY5ZK.Gbej4oZqKLA6]) + xafqLlk3kkUe(SXOLrMavuUCe(b'\x03n\xfb\x8ao\xc9}'), chr(7082 - 6982) + chr(9885 - 9784) + chr(6885 - 6786) + '\157' + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\x38') vhXbYptxZ3Pz = oqhJDdMJfuwx.path._oWXztVNnqHF(j3fmOtvUtrP5, tEETbPxG0Sc7 + xafqLlk3kkUe(SXOLrMavuUCe(b'\x03n\xfb\x8ao\xc9}'), chr(467 - 367) + '\145' + chr(0b1100011) + '\157' + chr(0b1100100) + chr(7832 - 7731))(chr(0b1110101) + '\164' + chr(0b1110 + 0o130) + chr(0b101101) + chr(56))) if xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'Dm\xf4\x80h\xc0'), chr(0b1011001 + 0o13) + chr(0b1100101) + '\143' + '\157' + chr(100) + chr(0b1100101))(chr(1149 - 1032) + '\164' + '\x66' + '\055' + '\x38'))(vhXbYptxZ3Pz): with _fwkIVCGgtAN(vhXbYptxZ3Pz, xafqLlk3kkUe(SXOLrMavuUCe(b'_\|'), '\x64' + chr(101) + '\143' + chr(0b11000 + 0o127) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1100011 + 0o21) + '\146' + chr(45) + chr(56))) as EGyt1xfPT1P6: FK0vqzZ5gPN6 = b1Ng5DsPF9ZY.mxtdQMeiwJZJ(EGyt1xfPT1P6) else: FK0vqzZ5gPN6 = CfVCrMjfY5ZK() xafqLlk3kkUe(FK0vqzZ5gPN6, xafqLlk3kkUe(SXOLrMavuUCe(b'Kw\xe6'), '\144' + '\x65' + chr(4676 - 4577) + chr(0b110100 + 0o73) + chr(0b1011000 + 0o14) + chr(101))(chr(0b1010010 + 0o43) + chr(116) + chr(102) + chr(0b101101) + chr(0b101111 + 0o11)))(lBVWpm3twnT0, xz6TaFcNOBti) with _fwkIVCGgtAN(vhXbYptxZ3Pz, xafqLlk3kkUe(SXOLrMavuUCe(b'Z\|'), '\x64' + chr(2064 - 1963) + chr(0b1100011) + '\157' + chr(5210 - 5110) + chr(0b1101 + 0o130))(chr(0b10000 + 0o145) + chr(0b1110100) + '\x66' + chr(450 - 405) + chr(0b101101 + 0o13))) as EGyt1xfPT1P6: xafqLlk3kkUe(b1Ng5DsPF9ZY, xafqLlk3kkUe(SXOLrMavuUCe(b'Ik\xff\x99'), chr(0b1111 + 0o125) + chr(0b111011 + 0o52) + '\143' + chr(111) + chr(100) + chr(101))('\x75' + chr(342 - 226) + chr(390 - 288) + chr(45) + chr(351 - 295)))(FK0vqzZ5gPN6, EGyt1xfPT1P6) mnDVZv4248Qi = xafqLlk3kkUe(SXOLrMavuUCe(b'r'), chr(100) + chr(0b1100101) + '\143' + chr(111) + chr(1697 - 1597) + '\145')(chr(117) + chr(116) + '\x66' + '\055' + chr(0b111000))._oWXztVNnqHF([CfVCrMjfY5ZK.Gbej4oZqKLA6, kXYCGf8FzWpJ, M8_cKLkHVB2V(rNKNWbA5vHOt), M8_cKLkHVB2V(y1KlG05SjSA4), M8_cKLkHVB2V(WVxHKyX45z_L), qp8Xr6be2JrG]) def n9fd4FsgoqFs(cHkRRKvYHQDq): def CACB_DHNfgF2(xVqxql2W_383): if mnDVZv4248Qi not in Ze8IjzWYZmVV: Ze8IjzWYZmVV[mnDVZv4248Qi] = cHkRRKvYHQDq(xVqxql2W_383) return Ze8IjzWYZmVV[mnDVZv4248Qi] if xPQT3Zzg51aG is None: return hoEJOD1eSV7c(lBVWpm3twnT0, iWSGU7PkZMSJ, xz6TaFcNOBti, Gmt2Yn1ASYcs, CACB_DHNfgF2, FK0vqzZ5gPN6, WVxHKyX45z_L) else: b8rpGniBNUPr = [] for EGyt1xfPT1P6 in xPQT3Zzg51aG: xafqLlk3kkUe(b8rpGniBNUPr, xafqLlk3kkUe(SXOLrMavuUCe(b'Ln\xe2\x8cj\xc1'), chr(0b101111 + 0o65) + '\145' + chr(1175 - 1076) + '\x6f' + chr(100) + chr(0b1011 + 0o132))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\055' + chr(0b100011 + 0o25)))(hoEJOD1eSV7c(EGyt1xfPT1P6, lBVWpm3twnT0, iWSGU7PkZMSJ, xz6TaFcNOBti, Gmt2Yn1ASYcs, CACB_DHNfgF2, FK0vqzZ5gPN6, WVxHKyX45z_L)) return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'o.\xf7\xb9@\xcdh\|w9\xb2S'), '\x64' + '\145' + chr(5991 - 5892) + chr(0b10 + 0o155) + chr(2362 - 2262) + chr(0b111111 + 0o46))(chr(117) + chr(0b1010111 + 0o35) + chr(0b1100110) + chr(0b101101) + '\x38'))(b8rpGniBNUPr) if mnDVZv4248Qi not in Ze8IjzWYZmVV: xafqLlk3kkUe(L2ZqvT1Y960F, xafqLlk3kkUe(SXOLrMavuUCe(b'Ln\xe2\x8cj\xc1'), '\144' + chr(1466 - 1365) + chr(99) + '\x6f' + chr(0b1100100) + '\x65')('\x75' + '\164' + '\x66' + '\055' + chr(56)))(n9fd4FsgoqFs(xafqLlk3kkUe(ei_WkXhIFGHj, kXYCGf8FzWpJ)(FK0vqzZ5gPN6, lBVWpm3twnT0))) else: xafqLlk3kkUe(L2ZqvT1Y960F, xafqLlk3kkUe(SXOLrMavuUCe(b'Ln\xe2\x8cj\xc1'), '\144' + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(898 - 797))(chr(7632 - 7515) + chr(0b0 + 0o164) + '\146' + chr(0b101101) + chr(0b111000)))(n9fd4FsgoqFs(None)) xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'^{\xf7\x8d'), '\x64' + chr(0b1100011 + 0o2) + chr(7250 - 7151) + '\157' + '\144' + chr(0b100001 + 0o104))(chr(534 - 417) + chr(0b100111 + 0o115) + '\x66' + chr(824 - 779) + chr(0b111000)))(j_gGRFcb6_BR) return xafqLlk3kkUe(WqUC3KWvYVup.array(L2ZqvT1Y960F), xafqLlk3kkUe(SXOLrMavuUCe(b'LT\xfa\xa0p\xe6G[n\x00\xebJ'), '\144' + '\x65' + '\x63' + chr(7339 - 7228) + chr(0b1001011 + 0o31) + '\145')(chr(0b1011101 + 0o30) + '\x74' + chr(935 - 833) + chr(1890 - 1845) + chr(56)))(ehT0Px3KOsy9(chr(0b110000) + chr(0b111101 + 0o62) + chr(48), 0b1000))
slundberg/shap	shap/benchmark/metrics.py	human_and_00	def human_and_00(X, y, model_generator, method_name): """ AND (false/false) This tests how well a feature attribution method agrees with human intuition for an AND operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever and cough: +6 points transform = "identity" sort_order = 0 """ return _human_and(X, model_generator, method_name, False, False)	python	def human_and_00(X, y, model_generator, method_name): """ AND (false/false) This tests how well a feature attribution method agrees with human intuition for an AND operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever and cough: +6 points transform = "identity" sort_order = 0 """ return _human_and(X, model_generator, method_name, False, False)	[ "def", "human_and_00", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ")", ":", "return", "_human_and", "(", "X", ",", "model_generator", ",", "method_name", ",", "False", ",", "False", ")" ]	AND (false/false) This tests how well a feature attribution method agrees with human intuition for an AND operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever and cough: +6 points transform = "identity" sort_order = 0	[ "AND", "(", "false", "/", "false", ")" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L578-L592	train	A human - readable version of _human_and that tests for the presence of a non - zero or non - zero input.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(223 - 175) + chr(0b11010 + 0o125) + chr(0b110000 + 0o2) + chr(51) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1209 - 1161) + '\157' + '\x31' + chr(48) + chr(360 - 308), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(1507 - 1452) + chr(0b10011 + 0o40), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2122 - 2011) + '\x35' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11 + 0o57) + chr(0b110111) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(399 - 348) + chr(0b110000) + '\066', 22878 - 22870), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\060' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11100 + 0o32) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(2541 - 2430) + chr(53) + '\x31', 8817 - 8809), ehT0Px3KOsy9('\060' + '\157' + chr(2001 - 1952) + chr(53) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(575 - 527) + chr(111) + '\063' + chr(53) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(0b110001) + chr(0b11101 + 0o27) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\063', 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(248 - 137) + '\064' + chr(0b100001 + 0o25), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x33' + '\x35' + chr(53), 8), ehT0Px3KOsy9(chr(269 - 221) + chr(0b101111 + 0o100) + chr(0b10001 + 0o42), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10101 + 0o132) + chr(367 - 317) + '\067' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5214 - 5103) + chr(750 - 698) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(8568 - 8457) + chr(0b110001) + chr(0b11 + 0o64) + '\062', 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + '\x32' + '\x32' + chr(1195 - 1147), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\066' + chr(1384 - 1329), 29347 - 29339), ehT0Px3KOsy9(chr(0b110000) + chr(0b10000 + 0o137) + chr(49) + chr(1501 - 1449) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11758 - 11647) + chr(0b101110 + 0o3) + chr(0b11 + 0o62) + '\060', 11877 - 11869), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b101011 + 0o13) + '\067', 0b1000), ehT0Px3KOsy9(chr(2143 - 2095) + chr(0b1101111) + chr(1734 - 1683) + chr(50), 59095 - 59087), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(53) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(5333 - 5222) + chr(212 - 162) + chr(2195 - 2144), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001110 + 0o41) + chr(0b1110 + 0o43) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(827 - 716) + chr(0b100 + 0o60) + chr(54), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + chr(0b10110 + 0o35) + chr(0b110001 + 0o5) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(49) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(53) + '\061', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1251 - 1200) + chr(0b110100) + '\064', 62397 - 62389), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(916 - 865) + '\067' + chr(49), 0o10), ehT0Px3KOsy9(chr(126 - 78) + chr(7777 - 7666) + '\x31', 25382 - 25374), ehT0Px3KOsy9(chr(48) + chr(0b1010111 + 0o30) + '\x31' + '\x30' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\x32', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b111011 + 0o64) + chr(49) + chr(0b11111 + 0o30) + chr(0b11111 + 0o23), 8), ehT0Px3KOsy9(chr(1306 - 1258) + '\157' + chr(0b110011) + chr(0b110101) + chr(0b101100 + 0o10), 36846 - 36838), ehT0Px3KOsy9(chr(2181 - 2133) + '\157' + '\x31' + '\x31' + chr(0b11100 + 0o31), 3708 - 3700)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110101) + chr(48), 33174 - 33166)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0'), chr(0b1010100 + 0o20) + chr(2243 - 2142) + '\143' + '\157' + '\x64' + chr(0b111010 + 0o53))(chr(0b1110101) + chr(116) + '\146' + chr(0b101101) + chr(0b101000 + 0o20)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Rp53aWLtd_VK(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ): return bDd6JfCCPACK(xEgrFJ0REugl, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9('\060' + '\157' + chr(0b100111 + 0o11), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3139 - 3028) + '\060', 8))
slundberg/shap	shap/benchmark/metrics.py	human_and_01	def human_and_01(X, y, model_generator, method_name): """ AND (false/true) This tests how well a feature attribution method agrees with human intuition for an AND operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever and cough: +6 points transform = "identity" sort_order = 1 """ return _human_and(X, model_generator, method_name, False, True)	python	def human_and_01(X, y, model_generator, method_name): """ AND (false/true) This tests how well a feature attribution method agrees with human intuition for an AND operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever and cough: +6 points transform = "identity" sort_order = 1 """ return _human_and(X, model_generator, method_name, False, True)	[ "def", "human_and_01", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ")", ":", "return", "_human_and", "(", "X", ",", "model_generator", ",", "method_name", ",", "False", ",", "True", ")" ]	AND (false/true) This tests how well a feature attribution method agrees with human intuition for an AND operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever and cough: +6 points transform = "identity" sort_order = 1	[ "AND", "(", "false", "/", "true", ")" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L594-L608	train	Human and 01 metric.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2090 - 2042) + chr(0b11 + 0o154) + '\x33' + chr(0b110101) + chr(960 - 907), ord("\x08")), ehT0Px3KOsy9(chr(1118 - 1070) + chr(0b1011 + 0o144) + chr(0b110001) + chr(991 - 936) + chr(54), 27073 - 27065), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + chr(664 - 615) + chr(710 - 657) + '\x30', 0b1000), ehT0Px3KOsy9(chr(1777 - 1729) + chr(0b1101111) + '\061' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1486 - 1436) + chr(0b10011 + 0o37) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100000 + 0o22), 5885 - 5877), ehT0Px3KOsy9(chr(2075 - 2027) + chr(5740 - 5629) + '\x31' + chr(0b1010 + 0o50), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34' + '\x32', 15680 - 15672), ehT0Px3KOsy9(chr(48) + chr(2778 - 2667) + '\062' + chr(682 - 628) + chr(881 - 828), 0b1000), ehT0Px3KOsy9('\x30' + chr(7582 - 7471) + '\062' + '\065' + chr(0b110 + 0o54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110101) + chr(0b10100 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(1052 - 1004) + chr(0b1101111) + chr(0b110001) + '\x33' + '\064', 54978 - 54970), ehT0Px3KOsy9('\060' + chr(6201 - 6090) + '\067' + chr(0b110100), 59777 - 59769), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(111) + chr(1877 - 1828) + '\064' + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(2212 - 2161) + '\065' + chr(51), 0b1000), ehT0Px3KOsy9(chr(2035 - 1987) + '\x6f' + '\x31' + chr(0b110101) + chr(1103 - 1053), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(2735 - 2681) + '\x31', 4463 - 4455), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(51) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(133 - 82) + chr(48) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(1698 - 1646) + '\x32', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\x35' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\062', 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(8606 - 8495) + chr(0b100110 + 0o15) + chr(0b11000 + 0o30) + chr(487 - 432), 51447 - 51439), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b100011 + 0o15) + '\063', 21469 - 21461), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\066' + chr(0b11110 + 0o24), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10010 + 0o135) + chr(0b101 + 0o55) + chr(557 - 505) + chr(0b100000 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + '\062' + chr(0b1001 + 0o56) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(363 - 315) + chr(5139 - 5028) + chr(777 - 728) + chr(0b110000) + '\x33', 8), ehT0Px3KOsy9(chr(1017 - 969) + '\x6f' + '\x32' + chr(53), 61357 - 61349), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b0 + 0o66) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10000 + 0o42) + chr(284 - 234), 37753 - 37745), ehT0Px3KOsy9(chr(1616 - 1568) + '\157' + chr(51) + chr(0b10 + 0o61) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(1070 - 959) + '\062' + '\065' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b11011 + 0o30) + chr(50) + chr(0b110001), 40 - 32), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b10 + 0o64) + chr(527 - 476), 0o10), ehT0Px3KOsy9(chr(48) + chr(3254 - 3143) + chr(49) + '\x33' + chr(50), 53950 - 53942), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + '\x32' + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\x37' + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(55) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1398 - 1348) + '\x37' + '\062', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010 + 0o3) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3'), '\144' + chr(5418 - 5317) + '\x63' + chr(111) + chr(0b1000001 + 0o43) + chr(0b1010 + 0o133))(chr(0b10011 + 0o142) + chr(3739 - 3623) + chr(0b110100 + 0o62) + chr(314 - 269) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def rHvCWZx7rzoi(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ): return bDd6JfCCPACK(xEgrFJ0REugl, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(2146 - 2035) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', 0b1000))
slundberg/shap	shap/benchmark/metrics.py	human_and_11	def human_and_11(X, y, model_generator, method_name): """ AND (true/true) This tests how well a feature attribution method agrees with human intuition for an AND operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever and cough: +6 points transform = "identity" sort_order = 2 """ return _human_and(X, model_generator, method_name, True, True)	python	def human_and_11(X, y, model_generator, method_name): """ AND (true/true) This tests how well a feature attribution method agrees with human intuition for an AND operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever and cough: +6 points transform = "identity" sort_order = 2 """ return _human_and(X, model_generator, method_name, True, True)	[ "def", "human_and_11", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ")", ":", "return", "_human_and", "(", "X", ",", "model_generator", ",", "method_name", ",", "True", ",", "True", ")" ]	AND (true/true) This tests how well a feature attribution method agrees with human intuition for an AND operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever and cough: +6 points transform = "identity" sort_order = 2	[ "AND", "(", "true", "/", "true", ")" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L610-L624	train	A human - readable version of the and - 11 metric.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + '\061' + chr(624 - 571) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\x30' + chr(49), 3264 - 3256), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\x37' + chr(2725 - 2671), 37161 - 37153), ehT0Px3KOsy9(chr(389 - 341) + '\157' + '\063' + '\060' + '\065', 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + '\x31' + chr(49) + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(49) + chr(1178 - 1126), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + '\066' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + '\x32' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x34' + chr(48), 22128 - 22120), ehT0Px3KOsy9('\060' + chr(4283 - 4172) + chr(641 - 592) + '\060' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + '\x33' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\067' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1408 - 1360) + '\x6f' + '\x31' + chr(0b110001) + '\063', 60923 - 60915), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(2936 - 2881) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(69 - 20) + '\066' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + chr(0b100010 + 0o20) + '\x32' + '\067', 0o10), ehT0Px3KOsy9(chr(1159 - 1111) + '\157' + '\x33' + chr(54) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(1604 - 1556) + chr(52), 46307 - 46299), ehT0Px3KOsy9(chr(0b110000) + chr(7092 - 6981) + '\x32' + '\065' + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(11291 - 11180) + '\061' + '\x36', 6587 - 6579), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1010000 + 0o37) + chr(1478 - 1428) + chr(1307 - 1256) + chr(50), 0o10), ehT0Px3KOsy9(chr(1907 - 1859) + chr(0b1111 + 0o140) + '\x31' + chr(50) + chr(0b110101), 43944 - 43936), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(1939 - 1889) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b110011) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(0b1010 + 0o53) + '\x32', 10002 - 9994), ehT0Px3KOsy9(chr(48) + chr(7829 - 7718) + '\x31' + chr(469 - 418) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(55) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(55) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10101 + 0o36) + '\067' + '\x32', 0b1000), ehT0Px3KOsy9(chr(1894 - 1846) + '\x6f' + chr(891 - 840) + chr(0b101 + 0o54) + '\067', 2627 - 2619), ehT0Px3KOsy9(chr(2243 - 2195) + chr(0b1101111) + '\x33' + chr(2917 - 2862), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + chr(1475 - 1426) + chr(0b10110 + 0o32) + chr(0b1110 + 0o44), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100111 + 0o14) + chr(0b110011 + 0o0) + chr(2283 - 2233), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110 + 0o55) + chr(0b10000 + 0o44) + '\062', 3369 - 3361), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(149 - 99) + chr(0b1110 + 0o44) + chr(1463 - 1408), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(49) + chr(55), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + '\066' + chr(1287 - 1238), 34645 - 34637), ehT0Px3KOsy9('\x30' + '\x6f' + chr(52) + chr(50), 4989 - 4981), ehT0Px3KOsy9(chr(97 - 49) + chr(4155 - 4044) + '\x32' + chr(0b110011) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(476 - 425) + chr(0b110001), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b111011 + 0o64) + chr(0b110101) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'D'), '\x64' + chr(101) + '\x63' + '\x6f' + chr(9212 - 9112) + '\145')(chr(0b10011 + 0o142) + '\x74' + chr(0b1100110) + chr(45) + chr(0b11100 + 0o34)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def o5JBJzyBJKEc(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ): return bDd6JfCCPACK(xEgrFJ0REugl, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9('\x30' + chr(11680 - 11569) + chr(0b101011 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1961 - 1912), 8))
slundberg/shap	shap/benchmark/metrics.py	human_or_00	def human_or_00(X, y, model_generator, method_name): """ OR (false/false) This tests how well a feature attribution method agrees with human intuition for an OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough: +6 points transform = "identity" sort_order = 0 """ return _human_or(X, model_generator, method_name, False, False)	python	def human_or_00(X, y, model_generator, method_name): """ OR (false/false) This tests how well a feature attribution method agrees with human intuition for an OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough: +6 points transform = "identity" sort_order = 0 """ return _human_or(X, model_generator, method_name, False, False)	[ "def", "human_or_00", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ")", ":", "return", "_human_or", "(", "X", ",", "model_generator", ",", "method_name", ",", "False", ",", "False", ")" ]	OR (false/false) This tests how well a feature attribution method agrees with human intuition for an OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough: +6 points transform = "identity" sort_order = 0	[ "OR", "(", "false", "/", "false", ")" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L649-L663	train	A human - readable version of _human_or that tests whether a feature attribution method agrees with linear effects.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(7057 - 6946) + '\x31' + chr(49) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b10 + 0o56) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(51) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10000 + 0o137) + chr(49) + chr(0b10101 + 0o33) + chr(697 - 649), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(8054 - 7943) + '\x33' + chr(0b101010 + 0o11) + chr(684 - 630), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(9150 - 9039) + chr(2002 - 1952) + '\x33' + chr(0b100101 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(2273 - 2225) + chr(0b1101111) + chr(0b1010 + 0o50) + chr(2550 - 2495) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(2068 - 2020) + chr(0b11110 + 0o121) + '\x32' + chr(0b11110 + 0o31) + '\x33', 8), ehT0Px3KOsy9('\x30' + chr(10875 - 10764) + chr(579 - 529) + chr(54) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b110100) + chr(2670 - 2618), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7271 - 7160) + chr(694 - 645) + '\061' + '\060', 0o10), ehT0Px3KOsy9(chr(433 - 385) + chr(111) + '\063' + chr(1050 - 999) + '\x36', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + chr(2217 - 2167) + chr(0b110000 + 0o0) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10488 - 10377) + '\063' + chr(48) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(1631 - 1583) + chr(111) + chr(49) + '\x34' + chr(2497 - 2443), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101100 + 0o3) + chr(2038 - 1988) + chr(0b110110) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(0b11010 + 0o30) + chr(1029 - 978), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\060' + chr(904 - 849), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b100 + 0o54) + chr(1883 - 1832), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110010) + chr(2108 - 2059), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10000 + 0o43) + chr(2338 - 2289), 0o10), ehT0Px3KOsy9(chr(1219 - 1171) + chr(111) + chr(50) + chr(0b110111) + '\066', 55464 - 55456), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000000 + 0o57) + chr(0b110001) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1821 - 1710) + '\062' + chr(0b101000 + 0o16) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2579 - 2468) + chr(0b110 + 0o55) + chr(50) + chr(0b1000 + 0o52), 0o10), ehT0Px3KOsy9(chr(760 - 712) + chr(886 - 775) + '\x37' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(2437 - 2326) + chr(0b10010 + 0o41) + chr(53) + chr(963 - 913), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(1083 - 1032) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1110 + 0o141) + '\061' + chr(51) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10101 + 0o132) + chr(2619 - 2567) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(2626 - 2573) + '\x33', 35477 - 35469), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100111 + 0o12) + '\062' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\x32' + chr(0b10101 + 0o41), 30640 - 30632), ehT0Px3KOsy9('\x30' + chr(0b101 + 0o152) + chr(1603 - 1553) + chr(0b10 + 0o63) + chr(841 - 793), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\x35' + '\x37', 0o10), ehT0Px3KOsy9(chr(1154 - 1106) + chr(111) + chr(1896 - 1847) + chr(0b1100 + 0o52) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b111110 + 0o61) + '\064' + '\060', 0b1000), ehT0Px3KOsy9(chr(189 - 141) + chr(111) + chr(51) + '\060' + chr(395 - 344), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b110010) + chr(1819 - 1764), 45177 - 45169), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101100 + 0o3) + chr(50) + chr(0b100 + 0o62) + chr(50), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011 + 0o2) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'`'), chr(0b1100100) + '\145' + chr(4561 - 4462) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(0b100001 + 0o123) + chr(6735 - 6633) + '\x2d' + chr(1275 - 1219)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def CHvzRanrQyN7(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ): return prRWGtYiRLw1(xEgrFJ0REugl, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1000111 + 0o50) + chr(1554 - 1506), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', 8))
slundberg/shap	shap/benchmark/metrics.py	human_or_01	def human_or_01(X, y, model_generator, method_name): """ OR (false/true) This tests how well a feature attribution method agrees with human intuition for an OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough: +6 points transform = "identity" sort_order = 1 """ return _human_or(X, model_generator, method_name, False, True)	python	def human_or_01(X, y, model_generator, method_name): """ OR (false/true) This tests how well a feature attribution method agrees with human intuition for an OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough: +6 points transform = "identity" sort_order = 1 """ return _human_or(X, model_generator, method_name, False, True)	[ "def", "human_or_01", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ")", ":", "return", "_human_or", "(", "X", ",", "model_generator", ",", "method_name", ",", "False", ",", "True", ")" ]	OR (false/true) This tests how well a feature attribution method agrees with human intuition for an OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough: +6 points transform = "identity" sort_order = 1	[ "OR", "(", "false", "/", "true", ")" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L665-L679	train	Human or 01 metric.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(743 - 695) + '\157' + '\x32' + chr(0b110010) + '\x32', 27838 - 27830), ehT0Px3KOsy9(chr(48) + chr(9119 - 9008) + chr(0b110000 + 0o3) + chr(0b101 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9199 - 9088) + chr(1273 - 1223) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110000 + 0o6) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(0b101100 + 0o13), 42896 - 42888), ehT0Px3KOsy9(chr(48) + chr(9810 - 9699) + chr(0b10000 + 0o43) + chr(0b110011) + chr(2146 - 2091), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(508 - 455) + chr(1866 - 1811), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b100000 + 0o25), 0b1000), ehT0Px3KOsy9(chr(106 - 58) + '\x6f' + chr(372 - 321) + chr(0b110001) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\060' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(50) + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + '\x37' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10100 + 0o42) + chr(1825 - 1770), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b111111 + 0o60) + chr(50) + '\064' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(1725 - 1674) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(54) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1157 - 1109) + chr(0b1101111) + chr(326 - 275) + chr(0b110011) + chr(1074 - 1025), ord("\x08")), ehT0Px3KOsy9(chr(289 - 241) + '\157' + '\062' + '\x37' + chr(1855 - 1807), 44012 - 44004), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + '\x32' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + '\x37' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(49) + chr(0b10100 + 0o34), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + chr(50) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b100 + 0o54) + chr(48), 0o10), ehT0Px3KOsy9(chr(1533 - 1485) + '\157' + '\x33' + chr(0b110011) + chr(172 - 124), 0b1000), ehT0Px3KOsy9(chr(183 - 135) + chr(0b1001100 + 0o43) + chr(2693 - 2639) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(0b110100) + '\x34', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101 + 0o61) + chr(0b110111), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(1417 - 1367) + '\060' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(111) + '\x31' + chr(0b101011 + 0o5) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b0 + 0o157) + chr(0b11000 + 0o31) + chr(910 - 856) + chr(0b110101), 8), ehT0Px3KOsy9(chr(2031 - 1983) + '\x6f' + chr(0b10110 + 0o35) + chr(1531 - 1477) + chr(1445 - 1394), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(1277 - 1225) + '\067', 1652 - 1644), ehT0Px3KOsy9(chr(48) + '\x6f' + '\065' + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110101 + 0o72) + chr(51) + chr(0b110010) + chr(52), 44987 - 44979), ehT0Px3KOsy9(chr(1518 - 1470) + chr(5142 - 5031) + chr(1896 - 1847) + chr(50) + chr(1410 - 1357), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1856 - 1807) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + '\x31' + chr(0b110000) + '\x33', 8), ehT0Px3KOsy9(chr(640 - 592) + chr(8776 - 8665) + chr(49) + chr(0b110101) + '\x34', 29004 - 28996), ehT0Px3KOsy9('\x30' + chr(6417 - 6306) + chr(51) + chr(0b101001 + 0o12), 52554 - 52546), ehT0Px3KOsy9(chr(282 - 234) + chr(0b111001 + 0o66) + chr(0b110010) + chr(0b110010) + '\066', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(102 - 49) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc'), chr(1303 - 1203) + chr(8394 - 8293) + chr(0b110000 + 0o63) + chr(0b1101111) + '\144' + chr(101))(chr(117) + '\x74' + chr(102) + '\x2d' + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def E9gzAprm0oJO(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ): return prRWGtYiRLw1(xEgrFJ0REugl, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(11539 - 11428) + '\x31', 0o10))
slundberg/shap	shap/benchmark/metrics.py	human_or_11	def human_or_11(X, y, model_generator, method_name): """ OR (true/true) This tests how well a feature attribution method agrees with human intuition for an OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough: +6 points transform = "identity" sort_order = 2 """ return _human_or(X, model_generator, method_name, True, True)	python	def human_or_11(X, y, model_generator, method_name): """ OR (true/true) This tests how well a feature attribution method agrees with human intuition for an OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough: +6 points transform = "identity" sort_order = 2 """ return _human_or(X, model_generator, method_name, True, True)	[ "def", "human_or_11", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ")", ":", "return", "_human_or", "(", "X", ",", "model_generator", ",", "method_name", ",", "True", ",", "True", ")" ]	OR (true/true) This tests how well a feature attribution method agrees with human intuition for an OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough: +6 points transform = "identity" sort_order = 2	[ "OR", "(", "true", "/", "true", ")" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L681-L695	train	A human - readable version of the OR method.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(926 - 876) + chr(51) + chr(0b100010 + 0o17), 34861 - 34853), ehT0Px3KOsy9(chr(841 - 793) + '\x6f' + chr(2225 - 2172) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\x37' + chr(2525 - 2472), 17957 - 17949), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\x31', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101111 + 0o3) + chr(0b1100 + 0o52) + chr(0b101111 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(317 - 263) + chr(0b1010 + 0o53), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(4248 - 4137) + '\067' + chr(153 - 103), ord("\x08")), ehT0Px3KOsy9(chr(1589 - 1541) + chr(12066 - 11955) + chr(0b110001) + chr(891 - 838) + chr(2306 - 2254), 40860 - 40852), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110010) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1675 - 1625) + chr(0b110101) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000 + 0o147) + '\x33' + chr(54) + '\063', 23612 - 23604), ehT0Px3KOsy9(chr(185 - 137) + chr(0b10101 + 0o132) + chr(0b101110 + 0o4) + chr(0b110 + 0o53) + '\061', 52487 - 52479), ehT0Px3KOsy9(chr(203 - 155) + '\x6f' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(1078 - 1027) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(54), 3777 - 3769), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35' + chr(48), 0b1000), ehT0Px3KOsy9(chr(2140 - 2092) + chr(0b100100 + 0o113) + chr(0b11010 + 0o31) + chr(0b110010) + chr(301 - 249), 0b1000), ehT0Px3KOsy9(chr(2192 - 2144) + chr(0b101000 + 0o107) + chr(51) + chr(663 - 608), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\157' + chr(0b1110 + 0o44) + chr(1565 - 1514) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + chr(0b110110), 58162 - 58154), ehT0Px3KOsy9(chr(2211 - 2163) + chr(0b11 + 0o154) + chr(0b0 + 0o61) + chr(48) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + chr(53) + chr(0b110110), 8), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b100000 + 0o21), ord("\x08")), ehT0Px3KOsy9(chr(1061 - 1013) + '\x6f' + '\061' + chr(0b110000) + '\066', 0b1000), ehT0Px3KOsy9(chr(2133 - 2085) + chr(6552 - 6441) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b110010 + 0o3), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\066' + '\061', 54437 - 54429), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(1777 - 1727) + chr(50), 513 - 505), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110000) + chr(1486 - 1436), 50384 - 50376), ehT0Px3KOsy9('\060' + '\x6f' + chr(2943 - 2888) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(0b101001 + 0o11) + chr(2612 - 2558) + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + '\061' + '\x36' + chr(0b110011), 55197 - 55189), ehT0Px3KOsy9(chr(1840 - 1792) + chr(0b1101111) + chr(0b10111 + 0o32) + chr(52) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + chr(1763 - 1712) + '\x30', 43728 - 43720), ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + '\x32' + chr(1895 - 1845) + chr(49), 26123 - 26115), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101001 + 0o12) + chr(0b110010) + '\066', 30578 - 30570), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(49) + chr(2336 - 2286), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3013 - 2902) + chr(0b110010) + chr(868 - 817), 3796 - 3788), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10101 + 0o34) + '\061' + chr(55), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1459 - 1411) + chr(5842 - 5731) + chr(53) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7'), '\144' + '\x65' + '\x63' + chr(111) + chr(0b1100100) + '\145')('\x75' + chr(116) + '\x66' + '\x2d' + chr(0b100011 + 0o25)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def aRTjcF_RbWIA(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ): return prRWGtYiRLw1(xEgrFJ0REugl, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(1691 - 1580) + chr(49), 8))
slundberg/shap	shap/benchmark/metrics.py	human_xor_00	def human_xor_00(X, y, model_generator, method_name): """ XOR (false/false) This tests how well a feature attribution method agrees with human intuition for an eXclusive OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough but not both: +6 points transform = "identity" sort_order = 3 """ return _human_xor(X, model_generator, method_name, False, False)	python	def human_xor_00(X, y, model_generator, method_name): """ XOR (false/false) This tests how well a feature attribution method agrees with human intuition for an eXclusive OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough but not both: +6 points transform = "identity" sort_order = 3 """ return _human_xor(X, model_generator, method_name, False, False)	[ "def", "human_xor_00", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ")", ":", "return", "_human_xor", "(", "X", ",", "model_generator", ",", "method_name", ",", "False", ",", "False", ")" ]	XOR (false/false) This tests how well a feature attribution method agrees with human intuition for an eXclusive OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough but not both: +6 points transform = "identity" sort_order = 3	[ "XOR", "(", "false", "/", "false", ")" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L720-L734	train	A human - readable XOR with the same parameters as the original XOR function.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1559 - 1511) + '\x6f' + chr(51) + '\060' + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(55) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1756 - 1708) + '\x6f' + chr(742 - 693) + chr(0b110011) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000110 + 0o51) + chr(52) + chr(0b100110 + 0o13), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9553 - 9442) + chr(0b1100 + 0o46) + '\063' + chr(480 - 432), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b11101 + 0o24) + chr(257 - 206), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(2079 - 2029) + chr(1169 - 1117) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8553 - 8442) + chr(0b10100 + 0o35) + chr(101 - 50) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b101010 + 0o13) + '\067', 12274 - 12266), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(50) + '\066', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101101 + 0o5) + chr(386 - 333) + chr(0b111 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b11011 + 0o27) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(1550 - 1500) + chr(54), 4691 - 4683), ehT0Px3KOsy9('\060' + chr(0b1101001 + 0o6) + '\063' + chr(1526 - 1471) + chr(51), 55188 - 55180), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b110000) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101110 + 0o1) + '\x31' + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\x30' + chr(0b1111 + 0o50), 8), ehT0Px3KOsy9(chr(382 - 334) + chr(0b1000011 + 0o54) + chr(51) + chr(0b110101) + chr(0b0 + 0o67), 33562 - 33554), ehT0Px3KOsy9(chr(48) + chr(7645 - 7534) + '\x32' + chr(0b0 + 0o64) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b0 + 0o63) + chr(0b10101 + 0o41) + chr(0b110011), 61735 - 61727), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(49) + chr(139 - 90), 0b1000), ehT0Px3KOsy9(chr(2136 - 2088) + chr(5099 - 4988) + chr(382 - 332) + chr(1889 - 1840) + chr(74 - 19), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + chr(49) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(2657 - 2546) + chr(0b110011) + chr(0b11101 + 0o23) + chr(1045 - 995), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b101101 + 0o6), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110110) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100000 + 0o117) + chr(0b110111) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + '\x36' + '\062', 1618 - 1610), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b100101 + 0o13) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(969 - 921) + chr(0b1101111) + chr(0b11001 + 0o30) + '\061' + chr(609 - 561), ord("\x08")), ehT0Px3KOsy9(chr(1056 - 1008) + chr(7409 - 7298) + chr(0b110010) + chr(111 - 62) + '\x31', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(48) + '\067', 13290 - 13282), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11011 + 0o27) + chr(1655 - 1607) + chr(53), 8), ehT0Px3KOsy9('\x30' + chr(0b1110 + 0o141) + '\063' + chr(0b10001 + 0o42) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(55) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b110001) + chr(55) + chr(1574 - 1523), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\065' + '\x34', 0b1000), ehT0Px3KOsy9(chr(1227 - 1179) + chr(111) + chr(1592 - 1538), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(0b11010 + 0o35), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\x33' + chr(0b11100 + 0o32) + chr(701 - 649), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1001011 + 0o44) + chr(151 - 98) + chr(0b10111 + 0o31), 49166 - 49158)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xec'), '\144' + '\145' + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(117) + chr(0b1000001 + 0o63) + '\146' + '\x2d' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def CQ2chaTjgOfh(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ): return MRZBQJJwsG8S(xEgrFJ0REugl, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9(chr(48) + chr(111) + chr(1005 - 957), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\060', 8))
slundberg/shap	shap/benchmark/metrics.py	human_xor_01	def human_xor_01(X, y, model_generator, method_name): """ XOR (false/true) This tests how well a feature attribution method agrees with human intuition for an eXclusive OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough but not both: +6 points transform = "identity" sort_order = 4 """ return _human_xor(X, model_generator, method_name, False, True)	python	def human_xor_01(X, y, model_generator, method_name): """ XOR (false/true) This tests how well a feature attribution method agrees with human intuition for an eXclusive OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough but not both: +6 points transform = "identity" sort_order = 4 """ return _human_xor(X, model_generator, method_name, False, True)	[ "def", "human_xor_01", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ")", ":", "return", "_human_xor", "(", "X", ",", "model_generator", ",", "method_name", ",", "False", ",", "True", ")" ]	XOR (false/true) This tests how well a feature attribution method agrees with human intuition for an eXclusive OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough but not both: +6 points transform = "identity" sort_order = 4	[ "XOR", "(", "false", "/", "true", ")" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L736-L750	train	A human - readable XOR of the features X and y.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(764 - 716) + chr(0b1101111) + '\x33' + chr(335 - 283), 0o10), ehT0Px3KOsy9('\060' + chr(386 - 275) + chr(0b1011 + 0o47) + chr(1758 - 1705) + chr(2323 - 2270), 51603 - 51595), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(51) + chr(717 - 669), 0o10), ehT0Px3KOsy9('\060' + chr(293 - 182) + chr(51) + '\060' + chr(0b1100 + 0o47), 58668 - 58660), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(1199 - 1146), 0o10), ehT0Px3KOsy9(chr(848 - 800) + chr(111) + chr(0b110001) + chr(0b110111) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(0b110111) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1011101 + 0o22) + '\067' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101 + 0o56) + chr(0b110100 + 0o2), 64801 - 64793), ehT0Px3KOsy9('\060' + chr(6425 - 6314) + chr(0b1101 + 0o44) + '\x33' + chr(0b111 + 0o57), 19035 - 19027), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1530 - 1479) + chr(0b100011 + 0o22) + '\x36', 31863 - 31855), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1061 - 1011) + chr(0b110010) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(2133 - 2083) + chr(52) + '\064', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(0b11111 + 0o24) + '\x32' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\064' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(6028 - 5917) + chr(2137 - 2088) + chr(0b1101 + 0o47) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10033 - 9922) + chr(2012 - 1959) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(53) + '\065', 8), ehT0Px3KOsy9(chr(1965 - 1917) + '\x6f' + chr(51) + chr(2304 - 2253) + '\066', 0o10), ehT0Px3KOsy9(chr(438 - 390) + chr(111) + chr(0b110001) + chr(0b110001) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1377 - 1329) + chr(0b1001100 + 0o43) + chr(49) + chr(1233 - 1178) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\x35' + chr(0b11001 + 0o31), 0b1000), ehT0Px3KOsy9(chr(48) + chr(710 - 599) + chr(0b110011) + '\x35' + chr(54), 8), ehT0Px3KOsy9(chr(48) + chr(0b10100 + 0o133) + chr(0b101 + 0o57) + '\x32', 18626 - 18618), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(2492 - 2439) + '\061', 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(1919 - 1868) + chr(0b110000) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101010 + 0o5) + chr(0b100111 + 0o12) + chr(55) + chr(0b10100 + 0o35), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100101 + 0o112) + chr(51) + chr(0b100111 + 0o11), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10100 + 0o35) + '\x35' + '\062', 49101 - 49093), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10010 + 0o37) + chr(172 - 118) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11001 + 0o30) + chr(53) + chr(0b0 + 0o60), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(160 - 108) + '\065', 35977 - 35969), ehT0Px3KOsy9(chr(1604 - 1556) + chr(111) + chr(0b110011) + chr(1592 - 1543) + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(55) + chr(453 - 402), ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1111 + 0o140) + chr(0b1 + 0o61) + chr(0b110111) + chr(2386 - 2335), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(54) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b100000 + 0o26), 26318 - 26310), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100000 + 0o21) + chr(0b1101 + 0o43) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11011 + 0o30) + chr(1367 - 1318) + '\065', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1337 - 1289) + chr(111) + '\065' + chr(48), 23769 - 23761)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'2'), '\x64' + chr(4424 - 4323) + chr(0b1100011) + '\x6f' + chr(9149 - 9049) + chr(2091 - 1990))(chr(117) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b10 + 0o66)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def r2MP5yCAZmHc(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ): return MRZBQJJwsG8S(xEgrFJ0REugl, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49), ord("\x08")))
slundberg/shap	shap/benchmark/metrics.py	human_xor_11	def human_xor_11(X, y, model_generator, method_name): """ XOR (true/true) This tests how well a feature attribution method agrees with human intuition for an eXclusive OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough but not both: +6 points transform = "identity" sort_order = 5 """ return _human_xor(X, model_generator, method_name, True, True)	python	def human_xor_11(X, y, model_generator, method_name): """ XOR (true/true) This tests how well a feature attribution method agrees with human intuition for an eXclusive OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough but not both: +6 points transform = "identity" sort_order = 5 """ return _human_xor(X, model_generator, method_name, True, True)	[ "def", "human_xor_11", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ")", ":", "return", "_human_xor", "(", "X", ",", "model_generator", ",", "method_name", ",", "True", ",", "True", ")" ]	XOR (true/true) This tests how well a feature attribution method agrees with human intuition for an eXclusive OR operation combined with linear effects. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points if fever or cough but not both: +6 points transform = "identity" sort_order = 5	[ "XOR", "(", "true", "/", "true", ")" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L752-L766	train	A human - readable XOR of 11.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(2104 - 2053) + chr(1910 - 1856) + chr(52), 37310 - 37302), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1001 + 0o52), 26097 - 26089), ehT0Px3KOsy9(chr(2286 - 2238) + '\x6f' + chr(0b110111) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(11913 - 11802) + chr(0b11101 + 0o24) + '\060' + chr(55), 27893 - 27885), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b11111 + 0o22) + chr(0b10 + 0o64), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1574 - 1523) + chr(0b110010) + chr(2403 - 2349), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(307 - 257) + chr(743 - 692) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(118 - 7) + chr(51) + chr(0b110100) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + '\063' + chr(0b11101 + 0o23) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(1032 - 979) + chr(52), 23719 - 23711), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100000 + 0o17) + '\x31' + chr(0b11011 + 0o31) + chr(0b111 + 0o60), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(291 - 241) + chr(0b101100 + 0o7) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11110 + 0o23) + '\x34' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9807 - 9696) + chr(51) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\062' + '\065', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(2550 - 2439) + chr(0b110011) + chr(0b10110 + 0o37) + chr(2360 - 2310), 0b1000), ehT0Px3KOsy9(chr(528 - 480) + '\157' + chr(0b110011) + '\063' + chr(0b101 + 0o55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + chr(202 - 153) + chr(2368 - 2319) + chr(479 - 428), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(748 - 697) + chr(50) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b110100) + '\066', 33505 - 33497), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1111 + 0o44) + chr(0b11100 + 0o25) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\063' + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\x31' + chr(0b110010 + 0o1), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\x33' + '\061', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101000 + 0o107) + chr(51) + '\x32' + '\x33', 0o10), ehT0Px3KOsy9(chr(1112 - 1064) + chr(0b1101111) + chr(52) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11111 + 0o24) + chr(0b110100) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + '\062' + chr(0b101011 + 0o7) + '\062', 8094 - 8086), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10101 + 0o33), 0o10), ehT0Px3KOsy9(chr(763 - 715) + chr(0b10010 + 0o135) + chr(53) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11100 + 0o25) + chr(0b110101) + chr(1048 - 1000), 12932 - 12924), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b11011 + 0o124) + chr(522 - 468), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(865 - 812), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(0b101000 + 0o16) + '\063', 0b1000), ehT0Px3KOsy9(chr(1570 - 1522) + chr(0b1101111) + chr(54) + chr(0b111 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + chr(1157 - 1102) + chr(0b100101 + 0o15), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b111 + 0o54) + chr(0b101001 + 0o7), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(4525 - 4414) + '\063' + '\067' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(10993 - 10882) + '\061' + '\065' + '\061', 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(52) + chr(1939 - 1885), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\065' + '\x30', 42122 - 42114)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xda'), chr(0b1100100) + chr(0b1100101) + chr(0b110101 + 0o56) + chr(111) + '\x64' + chr(7957 - 7856))(chr(117) + chr(8476 - 8360) + chr(942 - 840) + '\055' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Lu1cOesCrxcr(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ): return MRZBQJJwsG8S(xEgrFJ0REugl, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9('\x30' + chr(5089 - 4978) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b110111 + 0o70) + chr(49), 8))
slundberg/shap	shap/benchmark/metrics.py	human_sum_00	def human_sum_00(X, y, model_generator, method_name): """ SUM (false/false) This tests how well a feature attribution method agrees with human intuition for a SUM operation. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points transform = "identity" sort_order = 0 """ return _human_sum(X, model_generator, method_name, False, False)	python	def human_sum_00(X, y, model_generator, method_name): """ SUM (false/false) This tests how well a feature attribution method agrees with human intuition for a SUM operation. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points transform = "identity" sort_order = 0 """ return _human_sum(X, model_generator, method_name, False, False)	[ "def", "human_sum_00", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ")", ":", "return", "_human_sum", "(", "X", ",", "model_generator", ",", "method_name", ",", "False", ",", "False", ")" ]	SUM (false/false) This tests how well a feature attribution method agrees with human intuition for a SUM operation. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points transform = "identity" sort_order = 0	[ "SUM", "(", "false", "/", "false", ")" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L791-L804	train	A simple SUM metric that tests whether a feature attribution method agrees with a human intuition .	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(49) + chr(2026 - 1976) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(1049 - 998) + chr(50), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(2321 - 2272) + chr(0b110001) + '\062', 53557 - 53549), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\x35' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b110110) + chr(843 - 791), 0o10), ehT0Px3KOsy9(chr(48) + chr(8219 - 8108) + chr(53) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + chr(0b110001 + 0o0) + '\x34' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + '\061' + '\061', 34062 - 34054), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(196 - 148) + chr(0b1101111) + chr(0b101 + 0o55) + '\060' + chr(54), 0o10), ehT0Px3KOsy9(chr(276 - 228) + '\157' + chr(51) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(0b110010) + chr(49) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101100 + 0o7) + chr(0b10011 + 0o42) + chr(0b1010 + 0o52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100001 + 0o21) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(196 - 148) + chr(111) + chr(0b110010) + chr(1693 - 1639) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1110 + 0o43) + chr(0b110001) + chr(0b1101 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + '\062' + '\067' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + chr(50) + '\066' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b111101 + 0o62) + chr(0b110111) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1101111) + chr(0b110001 + 0o4), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + '\061' + chr(0b110000) + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(3318 - 3207) + '\061' + chr(0b1011 + 0o47) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + '\062' + '\x35' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(0b110101) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b11110 + 0o26) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\x31', 8), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + '\061' + chr(323 - 275) + '\066', 3313 - 3305), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101011 + 0o4) + '\063' + chr(49) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1412 - 1362) + chr(0b110000) + chr(0b10100 + 0o36), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11100 + 0o26) + chr(0b10110 + 0o41) + chr(0b110110), 37324 - 37316), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(1501 - 1390) + '\x31' + chr(606 - 551) + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(1764 - 1653) + '\062' + chr(0b110110) + chr(0b101101 + 0o5), 60019 - 60011), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1011 + 0o144) + '\065' + chr(95 - 42), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011010 + 0o25) + chr(0b110011) + chr(0b110101) + chr(0b10 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3705 - 3594) + '\x33' + chr(53) + chr(0b110 + 0o56), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(1482 - 1432) + '\062', 38030 - 38022), ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + chr(0b110001) + '\067' + chr(0b1010 + 0o53), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000 + 0o2) + chr(0b110001) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110111) + chr(2321 - 2269), 38017 - 38009)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + chr(2119 - 2071), 28061 - 28053)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'{'), '\144' + chr(0b11111 + 0o106) + '\143' + chr(0b101 + 0o152) + '\144' + '\145')('\165' + chr(116) + chr(0b1100110) + chr(0b101101) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def uzIDalt0BIKS(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ): return Ewb_ESIKonSw(xEgrFJ0REugl, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9(chr(905 - 857) + chr(0b1100110 + 0o11) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\060', 8))
slundberg/shap	shap/benchmark/metrics.py	human_sum_01	def human_sum_01(X, y, model_generator, method_name): """ SUM (false/true) This tests how well a feature attribution method agrees with human intuition for a SUM operation. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points transform = "identity" sort_order = 1 """ return _human_sum(X, model_generator, method_name, False, True)	python	def human_sum_01(X, y, model_generator, method_name): """ SUM (false/true) This tests how well a feature attribution method agrees with human intuition for a SUM operation. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points transform = "identity" sort_order = 1 """ return _human_sum(X, model_generator, method_name, False, True)	[ "def", "human_sum_01", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ")", ":", "return", "_human_sum", "(", "X", ",", "model_generator", ",", "method_name", ",", "False", ",", "True", ")" ]	SUM (false/true) This tests how well a feature attribution method agrees with human intuition for a SUM operation. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points transform = "identity" sort_order = 1	[ "SUM", "(", "false", "/", "true", ")" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L806-L819	train	A human - readable sum of the features.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(378 - 330) + chr(0b1011010 + 0o25) + chr(0b110001) + chr(0b110000 + 0o1), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100 + 0o143) + '\063' + chr(0b101101 + 0o5) + chr(0b101111 + 0o7), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100010 + 0o20) + '\x34' + chr(0b1 + 0o61), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100001 + 0o20) + chr(52) + chr(2328 - 2274), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(6665 - 6554) + chr(1300 - 1251) + chr(54) + chr(0b100100 + 0o17), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b1101 + 0o44) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1011 + 0o50) + '\064' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\x33' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110101) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\065' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(2296 - 2246) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2163 - 2113) + chr(52) + chr(50), 8), ehT0Px3KOsy9('\060' + chr(111) + '\x35' + chr(1330 - 1280), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b1010 + 0o52) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(52) + '\x34', 54388 - 54380), ehT0Px3KOsy9('\060' + chr(146 - 35) + chr(216 - 167) + chr(0b1101 + 0o47) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9639 - 9528) + chr(416 - 365) + chr(0b110010) + '\062', 52630 - 52622), ehT0Px3KOsy9(chr(600 - 552) + chr(9754 - 9643) + '\063' + '\x35' + chr(0b101 + 0o56), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\063' + chr(0b110010), 15665 - 15657), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(10606 - 10495) + chr(0b10101 + 0o34) + chr(53) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x34' + '\x32', 43406 - 43398), ehT0Px3KOsy9(chr(1789 - 1741) + chr(0b1101111) + chr(49) + chr(0b110010) + chr(124 - 75), 0o10), ehT0Px3KOsy9(chr(48) + chr(6071 - 5960) + chr(0b110010) + '\067' + chr(0b110101), 13357 - 13349), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2036 - 1986) + '\061' + chr(2745 - 2690), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(52) + chr(51), 19974 - 19966), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + chr(2721 - 2667) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b101111 + 0o6) + '\065', 1843 - 1835), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000 + 0o147) + chr(1177 - 1127) + chr(48) + chr(0b100100 + 0o17), 47387 - 47379), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b110010) + chr(148 - 99), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b10010 + 0o42) + chr(2276 - 2226), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10011 + 0o40) + chr(0b110010) + chr(0b1000 + 0o56), 8), ehT0Px3KOsy9(chr(52 - 4) + chr(9325 - 9214) + chr(0b110010) + chr(0b10100 + 0o41) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110111) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(2212 - 2163), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(1565 - 1514) + chr(0b110101) + chr(1692 - 1639), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1100 + 0o46) + chr(0b110101) + chr(2197 - 2142), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(49) + chr(0b110010 + 0o4), 43238 - 43230), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1477 - 1426) + chr(1583 - 1531) + chr(0b110010), 35864 - 35856)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(10511 - 10400) + '\x35' + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b"'"), '\x64' + chr(7036 - 6935) + '\x63' + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(1883 - 1766) + chr(0b10010 + 0o142) + '\x66' + chr(0b1000 + 0o45) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def kPgxaLLJGYf9(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ): return Ewb_ESIKonSw(xEgrFJ0REugl, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100011 + 0o15), 9189 - 9181), ehT0Px3KOsy9('\060' + '\157' + '\061', 8))
slundberg/shap	shap/benchmark/metrics.py	human_sum_11	def human_sum_11(X, y, model_generator, method_name): """ SUM (true/true) This tests how well a feature attribution method agrees with human intuition for a SUM operation. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points transform = "identity" sort_order = 2 """ return _human_sum(X, model_generator, method_name, True, True)	python	def human_sum_11(X, y, model_generator, method_name): """ SUM (true/true) This tests how well a feature attribution method agrees with human intuition for a SUM operation. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points transform = "identity" sort_order = 2 """ return _human_sum(X, model_generator, method_name, True, True)	[ "def", "human_sum_11", "(", "X", ",", "y", ",", "model_generator", ",", "method_name", ")", ":", "return", "_human_sum", "(", "X", ",", "model_generator", ",", "method_name", ",", "True", ",", "True", ")" ]	SUM (true/true) This tests how well a feature attribution method agrees with human intuition for a SUM operation. This metric deals specifically with the question of credit allocation for the following function when all three inputs are true: if fever: +2 points if cough: +2 points transform = "identity" sort_order = 2	[ "SUM", "(", "true", "/", "true", ")" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/metrics.py#L821-L834	train	A human - readable sum of the features.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + '\x34' + '\x33', 47122 - 47114), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + '\x31' + chr(1921 - 1868), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(308 - 257) + chr(53) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(470 - 420) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100010 + 0o15) + chr(50) + '\066' + chr(0b101101 + 0o5), 0b1000), ehT0Px3KOsy9(chr(1273 - 1225) + chr(0b1001110 + 0o41) + '\061' + chr(0b10101 + 0o34) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\x35' + chr(0b110111), 56484 - 56476), ehT0Px3KOsy9(chr(1845 - 1797) + chr(0b1010010 + 0o35) + chr(271 - 221) + chr(989 - 939) + chr(51), 0o10), ehT0Px3KOsy9(chr(431 - 383) + '\x6f' + '\x33' + chr(0b100011 + 0o17) + '\x35', 807 - 799), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\064' + chr(1015 - 966), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(55) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + chr(0b110010) + chr(0b110101) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1100011 + 0o14) + chr(49) + chr(828 - 780) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2539 - 2488) + chr(2017 - 1964), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(53) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1683 - 1632) + '\x32' + '\067', 0b1000), ehT0Px3KOsy9(chr(1781 - 1733) + '\x6f' + chr(690 - 640) + chr(49) + chr(55), 51990 - 51982), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\063' + chr(582 - 533), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(2065 - 2016) + '\067', 8), ehT0Px3KOsy9(chr(48) + chr(11196 - 11085) + '\062' + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(0b101101 + 0o102) + chr(50) + '\x30' + '\x33', 9156 - 9148), ehT0Px3KOsy9(chr(48) + chr(0b100111 + 0o110) + chr(51) + '\x37' + '\x31', 6424 - 6416), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101010 + 0o5) + '\062' + chr(51), 40230 - 40222), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1110 + 0o47) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(507 - 459) + chr(0b1101111) + chr(0b1 + 0o66) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(12091 - 11980) + chr(1961 - 1911) + chr(0b10101 + 0o35) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101101 + 0o2) + chr(0b110001) + chr(1978 - 1928) + '\x35', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x34', 8), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\066' + chr(2071 - 2018), ord("\x08")), ehT0Px3KOsy9(chr(1533 - 1485) + chr(0b1100 + 0o143) + chr(1828 - 1779) + chr(0b110111) + chr(0b1011 + 0o51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(329 - 280) + chr(935 - 883) + chr(679 - 627), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101110 + 0o101) + chr(0b110110) + chr(53), 2476 - 2468), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(1591 - 1536) + '\x35', 44419 - 44411), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b10100 + 0o35) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + '\x31' + chr(0b110010 + 0o1) + chr(112 - 57), 0o10), ehT0Px3KOsy9(chr(1723 - 1675) + '\157' + '\x33' + '\x32' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(609 - 558) + chr(0b1001 + 0o53) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(7693 - 7582) + chr(51) + chr(0b101110 + 0o3) + chr(0b110111), 12199 - 12191), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b111 + 0o51) + chr(0b1111 + 0o44), 36157 - 36149)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(53) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\r'), '\x64' + chr(0b100111 + 0o76) + chr(5139 - 5040) + chr(5034 - 4923) + chr(949 - 849) + chr(1607 - 1506))('\x75' + chr(116) + '\x66' + chr(45) + chr(2449 - 2393)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def GT3vrEhjSZ9R(xEgrFJ0REugl, SqiSOtYOqOJH, CfVCrMjfY5ZK, kXYCGf8FzWpJ): return Ewb_ESIKonSw(xEgrFJ0REugl, CfVCrMjfY5ZK, kXYCGf8FzWpJ, ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061', 0b1000), ehT0Px3KOsy9(chr(2036 - 1988) + chr(0b1101111) + '\x31', 8))
slundberg/shap	shap/explainers/linear.py	LinearExplainer._estimate_transforms	def _estimate_transforms(self, nsamples): """ Uses block matrix inversion identities to quickly estimate transforms. After a bit of matrix math we can isolate a transform matrix (# features x # features) that is independent of any sample we are explaining. It is the result of averaging over all feature permutations, but we just use a fixed number of samples to estimate the value. TODO: Do a brute force enumeration when # feature subsets is less than nsamples. This could happen through a recursive method that uses the same block matrix inversion as below. """ M = len(self.coef) mean_transform = np.zeros((M,M)) x_transform = np.zeros((M,M)) inds = np.arange(M, dtype=np.int) for _ in tqdm(range(nsamples), "Estimating transforms"): np.random.shuffle(inds) cov_inv_SiSi = np.zeros((0,0)) cov_Si = np.zeros((M,0)) for j in range(M): i = inds[j] # use the last Si as the new S cov_S = cov_Si cov_inv_SS = cov_inv_SiSi # get the new cov_Si cov_Si = self.cov[:,inds[:j+1]] # compute the new cov_inv_SiSi from cov_inv_SS d = cov_Si[i,:-1].T t = np.matmul(cov_inv_SS, d) Z = self.cov[i, i] u = Z - np.matmul(t.T, d) cov_inv_SiSi = np.zeros((j+1, j+1)) if j > 0: cov_inv_SiSi[:-1, :-1] = cov_inv_SS + np.outer(t, t) / u cov_inv_SiSi[:-1, -1] = cov_inv_SiSi[-1,:-1] = -t / u cov_inv_SiSi[-1, -1] = 1 / u # + coef @ (Q(bar(Sui)) - Q(bar(S))) mean_transform[i, i] += self.coef[i] # + coef @ R(Sui) coef_R_Si = np.matmul(self.coef[inds[j+1:]], np.matmul(cov_Si, cov_inv_SiSi)[inds[j+1:]]) mean_transform[i, inds[:j+1]] += coef_R_Si # - coef @ R(S) coef_R_S = np.matmul(self.coef[inds[j:]], np.matmul(cov_S, cov_inv_SS)[inds[j:]]) mean_transform[i, inds[:j]] -= coef_R_S # - coef @ (Q(Sui) - Q(S)) x_transform[i, i] += self.coef[i] # + coef @ R(Sui) x_transform[i, inds[:j+1]] += coef_R_Si # - coef @ R(S) x_transform[i, inds[:j]] -= coef_R_S mean_transform /= nsamples x_transform /= nsamples return mean_transform, x_transform	python	def _estimate_transforms(self, nsamples): """ Uses block matrix inversion identities to quickly estimate transforms. After a bit of matrix math we can isolate a transform matrix (# features x # features) that is independent of any sample we are explaining. It is the result of averaging over all feature permutations, but we just use a fixed number of samples to estimate the value. TODO: Do a brute force enumeration when # feature subsets is less than nsamples. This could happen through a recursive method that uses the same block matrix inversion as below. """ M = len(self.coef) mean_transform = np.zeros((M,M)) x_transform = np.zeros((M,M)) inds = np.arange(M, dtype=np.int) for _ in tqdm(range(nsamples), "Estimating transforms"): np.random.shuffle(inds) cov_inv_SiSi = np.zeros((0,0)) cov_Si = np.zeros((M,0)) for j in range(M): i = inds[j] # use the last Si as the new S cov_S = cov_Si cov_inv_SS = cov_inv_SiSi # get the new cov_Si cov_Si = self.cov[:,inds[:j+1]] # compute the new cov_inv_SiSi from cov_inv_SS d = cov_Si[i,:-1].T t = np.matmul(cov_inv_SS, d) Z = self.cov[i, i] u = Z - np.matmul(t.T, d) cov_inv_SiSi = np.zeros((j+1, j+1)) if j > 0: cov_inv_SiSi[:-1, :-1] = cov_inv_SS + np.outer(t, t) / u cov_inv_SiSi[:-1, -1] = cov_inv_SiSi[-1,:-1] = -t / u cov_inv_SiSi[-1, -1] = 1 / u # + coef @ (Q(bar(Sui)) - Q(bar(S))) mean_transform[i, i] += self.coef[i] # + coef @ R(Sui) coef_R_Si = np.matmul(self.coef[inds[j+1:]], np.matmul(cov_Si, cov_inv_SiSi)[inds[j+1:]]) mean_transform[i, inds[:j+1]] += coef_R_Si # - coef @ R(S) coef_R_S = np.matmul(self.coef[inds[j:]], np.matmul(cov_S, cov_inv_SS)[inds[j:]]) mean_transform[i, inds[:j]] -= coef_R_S # - coef @ (Q(Sui) - Q(S)) x_transform[i, i] += self.coef[i] # + coef @ R(Sui) x_transform[i, inds[:j+1]] += coef_R_Si # - coef @ R(S) x_transform[i, inds[:j]] -= coef_R_S mean_transform /= nsamples x_transform /= nsamples return mean_transform, x_transform	[ "def", "_estimate_transforms", "(", "self", ",", "nsamples", ")", ":", "M", "=", "len", "(", "self", ".", "coef", ")", "mean_transform", "=", "np", ".", "zeros", "(", "(", "M", ",", "M", ")", ")", "x_transform", "=", "np", ".", "zeros", "(", "(", "M", ",", "M", ")", ")", "inds", "=", "np", ".", "arange", "(", "M", ",", "dtype", "=", "np", ".", "int", ")", "for", "_", "in", "tqdm", "(", "range", "(", "nsamples", ")", ",", "\"Estimating transforms\"", ")", ":", "np", ".", "random", ".", "shuffle", "(", "inds", ")", "cov_inv_SiSi", "=", "np", ".", "zeros", "(", "(", "0", ",", "0", ")", ")", "cov_Si", "=", "np", ".", "zeros", "(", "(", "M", ",", "0", ")", ")", "for", "j", "in", "range", "(", "M", ")", ":", "i", "=", "inds", "[", "j", "]", "# use the last Si as the new S", "cov_S", "=", "cov_Si", "cov_inv_SS", "=", "cov_inv_SiSi", "# get the new cov_Si", "cov_Si", "=", "self", ".", "cov", "[", ":", ",", "inds", "[", ":", "j", "+", "1", "]", "]", "# compute the new cov_inv_SiSi from cov_inv_SS", "d", "=", "cov_Si", "[", "i", ",", ":", "-", "1", "]", ".", "T", "t", "=", "np", ".", "matmul", "(", "cov_inv_SS", ",", "d", ")", "Z", "=", "self", ".", "cov", "[", "i", ",", "i", "]", "u", "=", "Z", "-", "np", ".", "matmul", "(", "t", ".", "T", ",", "d", ")", "cov_inv_SiSi", "=", "np", ".", "zeros", "(", "(", "j", "+", "1", ",", "j", "+", "1", ")", ")", "if", "j", ">", "0", ":", "cov_inv_SiSi", "[", ":", "-", "1", ",", ":", "-", "1", "]", "=", "cov_inv_SS", "+", "np", ".", "outer", "(", "t", ",", "t", ")", "/", "u", "cov_inv_SiSi", "[", ":", "-", "1", ",", "-", "1", "]", "=", "cov_inv_SiSi", "[", "-", "1", ",", ":", "-", "1", "]", "=", "-", "t", "/", "u", "cov_inv_SiSi", "[", "-", "1", ",", "-", "1", "]", "=", "1", "/", "u", "# + coef @ (Q(bar(Sui)) - Q(bar(S)))", "mean_transform", "[", "i", ",", "i", "]", "+=", "self", ".", "coef", "[", "i", "]", "# + coef @ R(Sui)", "coef_R_Si", "=", "np", ".", "matmul", "(", "self", ".", "coef", "[", "inds", "[", "j", "+", "1", ":", "]", "]", ",", "np", ".", "matmul", "(", "cov_Si", ",", "cov_inv_SiSi", ")", "[", "inds", "[", "j", "+", "1", ":", "]", "]", ")", "mean_transform", "[", "i", ",", "inds", "[", ":", "j", "+", "1", "]", "]", "+=", "coef_R_Si", "# - coef @ R(S)", "coef_R_S", "=", "np", ".", "matmul", "(", "self", ".", "coef", "[", "inds", "[", "j", ":", "]", "]", ",", "np", ".", "matmul", "(", "cov_S", ",", "cov_inv_SS", ")", "[", "inds", "[", "j", ":", "]", "]", ")", "mean_transform", "[", "i", ",", "inds", "[", ":", "j", "]", "]", "-=", "coef_R_S", "# - coef @ (Q(Sui) - Q(S))", "x_transform", "[", "i", ",", "i", "]", "+=", "self", ".", "coef", "[", "i", "]", "# + coef @ R(Sui)", "x_transform", "[", "i", ",", "inds", "[", ":", "j", "+", "1", "]", "]", "+=", "coef_R_Si", "# - coef @ R(S)", "x_transform", "[", "i", ",", "inds", "[", ":", "j", "]", "]", "-=", "coef_R_S", "mean_transform", "/=", "nsamples", "x_transform", "/=", "nsamples", "return", "mean_transform", ",", "x_transform" ]	Uses block matrix inversion identities to quickly estimate transforms. After a bit of matrix math we can isolate a transform matrix (# features x # features) that is independent of any sample we are explaining. It is the result of averaging over all feature permutations, but we just use a fixed number of samples to estimate the value. TODO: Do a brute force enumeration when # feature subsets is less than nsamples. This could happen through a recursive method that uses the same block matrix inversion as below.	[ "Uses", "block", "matrix", "inversion", "identities", "to", "quickly", "estimate", "transforms", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/linear.py#L113-L175	train	Estimate the transforms for the current set of class names.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(757 - 707) + chr(0b110100) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\064' + chr(1170 - 1120), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1557 - 1507) + chr(2213 - 2165), 25655 - 25647), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(0b101100 + 0o6) + chr(0b100011 + 0o24), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10110 + 0o131) + chr(1001 - 952) + chr(0b1000 + 0o55) + chr(48), 31551 - 31543), ehT0Px3KOsy9(chr(0b110000) + chr(0b1111 + 0o140) + '\063' + chr(51) + chr(0b11110 + 0o23), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1596 - 1542) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + chr(51) + chr(53) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(591 - 543) + chr(111) + chr(649 - 596) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1111 + 0o43) + chr(55) + chr(0b1111 + 0o47), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100 + 0o55) + chr(0b10100 + 0o42) + chr(0b111 + 0o51), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b110000) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(51) + chr(49) + chr(0b111 + 0o53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(2284 - 2236) + chr(0b101 + 0o56), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b11001 + 0o30) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + '\063' + chr(454 - 403) + chr(490 - 437), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b111 + 0o54) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(0b1001 + 0o52) + chr(0b110000) + chr(1839 - 1791), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(564 - 513) + chr(0b100010 + 0o24) + chr(1962 - 1907), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110010 + 0o75) + chr(1161 - 1111) + '\x33' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b11110 + 0o26) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(688 - 640) + '\157' + chr(50) + chr(437 - 384) + chr(0b1110 + 0o44), ord("\x08")), ehT0Px3KOsy9(chr(2235 - 2187) + '\x6f' + chr(0b110011) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + chr(49) + chr(0b110011) + chr(0b110111), 41673 - 41665), ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + chr(562 - 511) + '\x35' + chr(2268 - 2213), 6759 - 6751), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1738 - 1688) + '\065' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101101 + 0o2) + '\062' + '\060' + chr(55), 23913 - 23905), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\063' + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10770 - 10659) + chr(1828 - 1779) + chr(0b11100 + 0o32) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(0b110001) + '\x37' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(4565 - 4454) + chr(2572 - 2519), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1110 + 0o141) + '\063' + chr(0b101000 + 0o13) + '\x31', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b11001 + 0o30) + chr(0b110001) + chr(1454 - 1401), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(1161 - 1111) + '\x37' + chr(54), 8), ehT0Px3KOsy9(chr(1179 - 1131) + '\157' + chr(0b11001 + 0o31) + chr(0b10010 + 0o43) + chr(0b11000 + 0o32), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101101 + 0o6) + chr(0b1001 + 0o50) + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1911 - 1857) + chr(54), 26672 - 26664), ehT0Px3KOsy9(chr(1337 - 1289) + chr(111) + '\061' + '\x33' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1064 - 1016) + chr(0b1101111) + '\x31' + chr(0b110010) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\060' + '\x31', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(53) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a'), chr(8133 - 8033) + '\145' + '\143' + chr(0b1101111) + chr(7126 - 7026) + chr(101))(chr(331 - 214) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(1714 - 1658)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def HnO55vh5UxO1(oVre8I6UXc3b, ZCJSp_jsrQSL): ed0oVQ7n0Y_q = c2A0yzQpDQB3(oVre8I6UXc3b.coef) OsZS3Ya9pabz = WqUC3KWvYVup.zeros((ed0oVQ7n0Y_q, ed0oVQ7n0Y_q)) xkmD8emiYOFr = WqUC3KWvYVup.zeros((ed0oVQ7n0Y_q, ed0oVQ7n0Y_q)) HP9YF4VVcIuY = WqUC3KWvYVup.arange(ed0oVQ7n0Y_q, dtype=WqUC3KWvYVup.int) for VNGQdHSFPrso in yOfuilPq_CoP(vQr8gNKaIaWE(ZCJSp_jsrQSL), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1Qd~\x05\xb8G\x83A\xd9P\xb1\xb8"\xa5\xae\|\xaf\x85\xf7\x11'), chr(7590 - 7490) + chr(2363 - 2262) + chr(0b1100011) + chr(6316 - 6205) + '\144' + chr(0b110000 + 0o65))(chr(117) + chr(3042 - 2926) + chr(2465 - 2363) + chr(0b101101) + chr(0b11001 + 0o37))): xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7Jeq\x0e\xb5V'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1000111 + 0o50) + '\144' + '\145')('\x75' + chr(0b100110 + 0o116) + chr(0b10100 + 0o122) + '\055' + chr(0b0 + 0o70)))(HP9YF4VVcIuY) hEXh9nIfGV2n = WqUC3KWvYVup.zeros((ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(197 - 86) + chr(0b110000), 8))) EYm0ob8948yP = WqUC3KWvYVup.zeros((ed0oVQ7n0Y_q, ehT0Px3KOsy9(chr(1117 - 1069) + '\x6f' + chr(48), 8))) for tlORBuYsiw3X in vQr8gNKaIaWE(ed0oVQ7n0Y_q): WVxHKyX45z_L = HP9YF4VVcIuY[tlORBuYsiw3X] xsh14ci_9sCJ = EYm0ob8948yP I5peCe_UTvpG = hEXh9nIfGV2n EYm0ob8948yP = oVre8I6UXc3b.cov[:, HP9YF4VVcIuY[:tlORBuYsiw3X + ehT0Px3KOsy9(chr(2233 - 2185) + '\157' + chr(0b110001), 0b1000)]] pd3lxn9vqWxp = EYm0ob8948yP[WVxHKyX45z_L, :-ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(0b101111 + 0o2), 8)].T YeT3l7JgTbWR = WqUC3KWvYVup.matmul(I5peCe_UTvpG, pd3lxn9vqWxp) lYSzSjlBurVZ = oVre8I6UXc3b.cov[WVxHKyX45z_L, WVxHKyX45z_L] SkdK71rGR8E7 = lYSzSjlBurVZ - WqUC3KWvYVup.matmul(YeT3l7JgTbWR.T, pd3lxn9vqWxp) hEXh9nIfGV2n = WqUC3KWvYVup.zeros((tlORBuYsiw3X + ehT0Px3KOsy9(chr(1281 - 1233) + '\x6f' + chr(0b110001), 8), tlORBuYsiw3X + ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), 8))) if tlORBuYsiw3X > ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b100111 + 0o110) + chr(0b110000), 8): hEXh9nIfGV2n[:-ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(10728 - 10617) + '\061', 8), :-ehT0Px3KOsy9('\060' + chr(604 - 493) + chr(0b100100 + 0o15), 8)] = I5peCe_UTvpG + WqUC3KWvYVup.Ex6JxyaxzqrZ(YeT3l7JgTbWR, YeT3l7JgTbWR) / SkdK71rGR8E7 hEXh9nIfGV2n[:-ehT0Px3KOsy9('\060' + '\157' + chr(49), 8), -ehT0Px3KOsy9(chr(1237 - 1189) + '\157' + chr(1455 - 1406), 8)] = hEXh9nIfGV2n[-ehT0Px3KOsy9('\x30' + '\x6f' + '\x31', 8), :-ehT0Px3KOsy9('\060' + chr(0b1001000 + 0o47) + chr(306 - 257), 8)] = -YeT3l7JgTbWR / SkdK71rGR8E7 hEXh9nIfGV2n[-ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061', 8), -ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(5196 - 5085) + '\x31', 8)] = ehT0Px3KOsy9(chr(48) + chr(0b1001011 + 0o44) + chr(0b11010 + 0o27), 8) / SkdK71rGR8E7 OsZS3Ya9pabz[WVxHKyX45z_L, WVxHKyX45z_L] += oVre8I6UXc3b.coef[WVxHKyX45z_L] ilMHQcwsFA4e = WqUC3KWvYVup.matmul(oVre8I6UXc3b.coef[HP9YF4VVcIuY[tlORBuYsiw3X + ehT0Px3KOsy9('\060' + chr(4248 - 4137) + '\061', 8):]], WqUC3KWvYVup.matmul(EYm0ob8948yP, hEXh9nIfGV2n)[HP9YF4VVcIuY[tlORBuYsiw3X + ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001), 8):]]) OsZS3Ya9pabz[WVxHKyX45z_L, HP9YF4VVcIuY[:tlORBuYsiw3X + ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b10000 + 0o137) + '\061', 8)]] += ilMHQcwsFA4e vKZqLqZAisgU = WqUC3KWvYVup.matmul(oVre8I6UXc3b.coef[HP9YF4VVcIuY[tlORBuYsiw3X:]], WqUC3KWvYVup.matmul(xsh14ci_9sCJ, I5peCe_UTvpG)[HP9YF4VVcIuY[tlORBuYsiw3X:]]) OsZS3Ya9pabz[WVxHKyX45z_L, HP9YF4VVcIuY[:tlORBuYsiw3X]] -= vKZqLqZAisgU xkmD8emiYOFr[WVxHKyX45z_L, WVxHKyX45z_L] += oVre8I6UXc3b.coef[WVxHKyX45z_L] xkmD8emiYOFr[WVxHKyX45z_L, HP9YF4VVcIuY[:tlORBuYsiw3X + ehT0Px3KOsy9(chr(2119 - 2071) + chr(0b1010101 + 0o32) + '\061', 8)]] += ilMHQcwsFA4e xkmD8emiYOFr[WVxHKyX45z_L, HP9YF4VVcIuY[:tlORBuYsiw3X]] -= vKZqLqZAisgU OsZS3Ya9pabz /= ZCJSp_jsrQSL xkmD8emiYOFr /= ZCJSp_jsrQSL return (OsZS3Ya9pabz, xkmD8emiYOFr)
slundberg/shap	shap/explainers/linear.py	LinearExplainer.shap_values	def shap_values(self, X): """ Estimate the SHAP values for a set of samples. Parameters ---------- X : numpy.array or pandas.DataFrame A matrix of samples (# samples x # features) on which to explain the model's output. Returns ------- For models with a single output this returns a matrix of SHAP values (# samples x # features). Each row sums to the difference between the model output for that sample and the expected value of the model output (which is stored as expected_value attribute of the explainer). """ # convert dataframes if str(type(X)).endswith("pandas.core.series.Series'>"): X = X.values elif str(type(X)).endswith("'pandas.core.frame.DataFrame'>"): X = X.values #assert str(type(X)).endswith("'numpy.ndarray'>"), "Unknown instance type: " + str(type(X)) assert len(X.shape) == 1 or len(X.shape) == 2, "Instance must have 1 or 2 dimensions!" if self.feature_dependence == "correlation": phi = np.matmul(np.matmul(X[:,self.valid_inds], self.avg_proj.T), self.x_transform.T) - self.mean_transformed phi = np.matmul(phi, self.avg_proj) full_phi = np.zeros(((phi.shape[0], self.M))) full_phi[:,self.valid_inds] = phi return full_phi elif self.feature_dependence == "independent": if len(self.coef.shape) == 1: return np.array(X - self.mean) * self.coef else: return [np.array(X - self.mean) * self.coef[i] for i in range(self.coef.shape[0])]	python	def shap_values(self, X): """ Estimate the SHAP values for a set of samples. Parameters ---------- X : numpy.array or pandas.DataFrame A matrix of samples (# samples x # features) on which to explain the model's output. Returns ------- For models with a single output this returns a matrix of SHAP values (# samples x # features). Each row sums to the difference between the model output for that sample and the expected value of the model output (which is stored as expected_value attribute of the explainer). """ # convert dataframes if str(type(X)).endswith("pandas.core.series.Series'>"): X = X.values elif str(type(X)).endswith("'pandas.core.frame.DataFrame'>"): X = X.values #assert str(type(X)).endswith("'numpy.ndarray'>"), "Unknown instance type: " + str(type(X)) assert len(X.shape) == 1 or len(X.shape) == 2, "Instance must have 1 or 2 dimensions!" if self.feature_dependence == "correlation": phi = np.matmul(np.matmul(X[:,self.valid_inds], self.avg_proj.T), self.x_transform.T) - self.mean_transformed phi = np.matmul(phi, self.avg_proj) full_phi = np.zeros(((phi.shape[0], self.M))) full_phi[:,self.valid_inds] = phi return full_phi elif self.feature_dependence == "independent": if len(self.coef.shape) == 1: return np.array(X - self.mean) * self.coef else: return [np.array(X - self.mean) * self.coef[i] for i in range(self.coef.shape[0])]	[ "def", "shap_values", "(", "self", ",", "X", ")", ":", "# convert dataframes", "if", "str", "(", "type", "(", "X", ")", ")", ".", "endswith", "(", "\"pandas.core.series.Series'>\"", ")", ":", "X", "=", "X", ".", "values", "elif", "str", "(", "type", "(", "X", ")", ")", ".", "endswith", "(", "\"'pandas.core.frame.DataFrame'>\"", ")", ":", "X", "=", "X", ".", "values", "#assert str(type(X)).endswith(\"'numpy.ndarray'>\"), \"Unknown instance type: \" + str(type(X))", "assert", "len", "(", "X", ".", "shape", ")", "==", "1", "or", "len", "(", "X", ".", "shape", ")", "==", "2", ",", "\"Instance must have 1 or 2 dimensions!\"", "if", "self", ".", "feature_dependence", "==", "\"correlation\"", ":", "phi", "=", "np", ".", "matmul", "(", "np", ".", "matmul", "(", "X", "[", ":", ",", "self", ".", "valid_inds", "]", ",", "self", ".", "avg_proj", ".", "T", ")", ",", "self", ".", "x_transform", ".", "T", ")", "-", "self", ".", "mean_transformed", "phi", "=", "np", ".", "matmul", "(", "phi", ",", "self", ".", "avg_proj", ")", "full_phi", "=", "np", ".", "zeros", "(", "(", "(", "phi", ".", "shape", "[", "0", "]", ",", "self", ".", "M", ")", ")", ")", "full_phi", "[", ":", ",", "self", ".", "valid_inds", "]", "=", "phi", "return", "full_phi", "elif", "self", ".", "feature_dependence", "==", "\"independent\"", ":", "if", "len", "(", "self", ".", "coef", ".", "shape", ")", "==", "1", ":", "return", "np", ".", "array", "(", "X", "-", "self", ".", "mean", ")", "", "self", ".", "coef", "else", ":", "return", "[", "np", ".", "array", "(", "X", "-", "self", ".", "mean", ")", "", "self", ".", "coef", "[", "i", "]", "for", "i", "in", "range", "(", "self", ".", "coef", ".", "shape", "[", "0", "]", ")", "]" ]	Estimate the SHAP values for a set of samples. Parameters ---------- X : numpy.array or pandas.DataFrame A matrix of samples (# samples x # features) on which to explain the model's output. Returns ------- For models with a single output this returns a matrix of SHAP values (# samples x # features). Each row sums to the difference between the model output for that sample and the expected value of the model output (which is stored as expected_value attribute of the explainer).	[ "Estimate", "the", "SHAP", "values", "for", "a", "set", "of", "samples", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/linear.py#L177-L215	train	Estimate the SHAP values for a set of samples.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\x34' + chr(51), 40771 - 40763), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100010 + 0o20) + chr(0b100001 + 0o22) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100100 + 0o113) + chr(49) + chr(0b0 + 0o67), 0o10), ehT0Px3KOsy9('\x30' + chr(8641 - 8530) + chr(2131 - 2081) + chr(1528 - 1479) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(10543 - 10432) + '\x33' + chr(55) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1860 - 1811) + chr(0b110010) + '\x34', 0b1000), ehT0Px3KOsy9(chr(1347 - 1299) + chr(11029 - 10918) + chr(1315 - 1264) + chr(0b110101) + chr(0b11110 + 0o22), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\x34' + chr(52), 9034 - 9026), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(9933 - 9822) + chr(0b110010) + chr(0b1010 + 0o55) + '\064', 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + '\062' + chr(0b110100) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(1608 - 1558) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(0b110110) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\063' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2146 - 2097) + chr(0b110111) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1314 - 1266) + chr(0b1101111) + '\063' + chr(53) + chr(1798 - 1748), 43911 - 43903), ehT0Px3KOsy9('\060' + chr(111) + chr(546 - 495) + '\x31' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100000 + 0o23) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + '\063' + chr(0b110110) + '\x31', 60126 - 60118), ehT0Px3KOsy9('\x30' + chr(4685 - 4574) + chr(0b1111 + 0o42) + '\060' + '\x34', 0b1000), ehT0Px3KOsy9(chr(917 - 869) + chr(111) + chr(0b110 + 0o56) + chr(0b11 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1111 + 0o140) + chr(0b110001) + chr(0b0 + 0o64) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110000) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\061' + chr(0b10111 + 0o40), 16594 - 16586), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101 + 0o54) + chr(48) + chr(2596 - 2544), 8), ehT0Px3KOsy9('\060' + chr(0b1001110 + 0o41) + chr(51) + chr(0b110111) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(4870 - 4759) + chr(0b110011) + chr(978 - 929) + chr(2305 - 2252), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11100 + 0o25) + chr(49) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\065' + '\x30', 0o10), ehT0Px3KOsy9(chr(338 - 290) + chr(0b1101111) + chr(0b1110 + 0o47) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10 + 0o60) + '\064' + chr(341 - 290), 8), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + '\x33' + chr(2200 - 2146) + chr(49), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11010 + 0o35) + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + chr(500 - 451) + chr(0b110100) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(10881 - 10770) + '\x32' + '\x30' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1010 + 0o50) + chr(0b110100) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + chr(1977 - 1866) + chr(0b110001) + chr(48) + chr(0b100111 + 0o15), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(69 - 16) + chr(52), 26638 - 26630), ehT0Px3KOsy9(chr(1256 - 1208) + chr(3325 - 3214) + '\x33' + chr(1535 - 1487) + chr(0b110100), 753 - 745), ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + '\x31' + '\x33' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(0b101100 + 0o6) + chr(594 - 540), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + chr(1960 - 1912), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d'), '\x64' + chr(0b101101 + 0o70) + '\143' + chr(0b1100100 + 0o13) + '\x64' + chr(6310 - 6209))(chr(0b1001001 + 0o54) + chr(116) + chr(0b1100110) + chr(45) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def B6TQhWekbimD(oVre8I6UXc3b, xEgrFJ0REugl): if xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\xf1k\xff\x88=\x9c\x8c'), chr(0b110110 + 0o56) + chr(635 - 534) + '\143' + chr(0b100101 + 0o112) + '\x64' + '\x65')(chr(0b1001100 + 0o51) + chr(0b101011 + 0o111) + '\x66' + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b"\xd3\xfea\xe8\x9e'\xc6\x87\xd3\xd2\xf4\x1a\xaa\x1e\x98\xa4x\x82jq\x06\xf3\xe6!\x8a\xeap"), chr(0b1100100) + '\145' + chr(99) + chr(0b1101111) + chr(0b1010101 + 0o17) + chr(3505 - 3404))(chr(0b1110101) + chr(116) + chr(102) + '\055' + '\070')): xEgrFJ0REugl = xEgrFJ0REugl.SPnCNu54H1db elif xafqLlk3kkUe(M8_cKLkHVB2V(wmQmyeWBmUpv(xEgrFJ0REugl)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\xf1k\xff\x88=\x9c\x8c'), chr(0b1100100) + chr(729 - 628) + chr(99) + chr(0b1101111) + chr(0b111010 + 0o52) + '\x65')(chr(0b10 + 0o163) + chr(116) + chr(102) + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x84\xefn\xe2\x9b5\x9b\xca\xdf\xcf\xe3Q\xf7\x1d\x98\xacp\x94jf\x02\xf5\xee\x02\x8b\xac#\r\r\x9d'), '\x64' + chr(0b110000 + 0o65) + chr(0b1100 + 0o127) + '\157' + chr(0b1100100) + '\x65')(chr(0b1011010 + 0o33) + chr(7473 - 7357) + chr(0b100000 + 0o106) + '\055' + chr(2460 - 2404))): xEgrFJ0REugl = xEgrFJ0REugl.SPnCNu54H1db assert c2A0yzQpDQB3(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xfez\xd5\x99\x18\x8f\x88\xe8\xd0\xf2V'), chr(100) + chr(101) + '\x63' + chr(111) + chr(0b110100 + 0o60) + '\145')(chr(1704 - 1587) + '\x74' + chr(0b1100110) + '\x2d' + chr(1331 - 1275)))) == ehT0Px3KOsy9(chr(2111 - 2063) + chr(111) + '\061', 0o10) or c2A0yzQpDQB3(xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xfez\xd5\x99\x18\x8f\x88\xe8\xd0\xf2V'), '\144' + chr(5633 - 5532) + '\143' + chr(9874 - 9763) + chr(100) + chr(0b1100101))(chr(0b1110101) + '\x74' + '\146' + '\x2d' + chr(1486 - 1430)))) == ehT0Px3KOsy9('\060' + '\x6f' + chr(50), 0o10), xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xf1\|\xf8\x9e:\x8b\x81\x9c\xcd\xe4G\xad[\x82\xack\x94d\x13C\xee\xfdd\xcb\xed\x01G\xc6\x9fI\t\xeb\xcb7\x8d'), '\x64' + chr(3355 - 3254) + '\143' + '\157' + chr(0b100000 + 0o104) + chr(0b1011 + 0o132))('\165' + chr(0b1110100) + chr(10015 - 9913) + chr(0b101101) + '\070') if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xfan\xf8\x8a&\x8d\xbb\xd8\xc5\xe1Q\xb7\x1f\x8f\xa3~\x94'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(111) + chr(8626 - 8526) + chr(0b1001001 + 0o34))(chr(3563 - 3446) + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b110000 + 0o10))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xf0}\xfe\x9a8\x89\x90\xd5\xcf\xff'), chr(9507 - 9407) + chr(101) + chr(99) + chr(111) + '\x64' + '\x65')('\x75' + chr(5114 - 4998) + chr(0b1010111 + 0o17) + chr(0b1010 + 0o43) + '\x38'): IOGtkN7op9UY = WqUC3KWvYVup.matmul(WqUC3KWvYVup.matmul(xEgrFJ0REugl[:, oVre8I6UXc3b.valid_inds], oVre8I6UXc3b.avg_proj.T), oVre8I6UXc3b.x_transform.T) - oVre8I6UXc3b.mean_transformed IOGtkN7op9UY = WqUC3KWvYVup.matmul(IOGtkN7op9UY, oVre8I6UXc3b.avg_proj) O08XV0VAEvy9 = WqUC3KWvYVup.zeros((IOGtkN7op9UY.nauYfLglTpcb[ehT0Px3KOsy9('\x30' + '\157' + chr(0b11000 + 0o30), 0b1000)], oVre8I6UXc3b.M)) O08XV0VAEvy9[:, oVre8I6UXc3b.bNd_UqRtp6qr] = IOGtkN7op9UY return O08XV0VAEvy9 elif xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xfan\xf8\x8a&\x8d\xbb\xd8\xc5\xe1Q\xb7\x1f\x8f\xa3~\x94'), chr(3346 - 3246) + chr(101) + chr(5895 - 5796) + chr(111) + chr(100) + chr(0b111010 + 0o53))('\x75' + chr(0b110111 + 0o75) + chr(102) + chr(1103 - 1058) + chr(528 - 472))) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xf1k\xe9\x8f1\x86\x80\xd9\xce\xe5'), chr(0b1100100) + chr(101) + '\143' + '\x6f' + chr(7115 - 7015) + chr(0b1100101))('\165' + '\164' + chr(102) + chr(331 - 286) + chr(0b11011 + 0o35)): if c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b.coef, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xfez\xd5\x99\x18\x8f\x88\xe8\xd0\xf2V'), chr(100) + chr(0b10110 + 0o117) + chr(99) + chr(5393 - 5282) + chr(0b1010000 + 0o24) + chr(0b1100101))(chr(0b1110101) + '\x74' + '\x66' + '\055' + chr(1465 - 1409)))) == ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b100111 + 0o110) + chr(0b111 + 0o52), 8): return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xafj\xdc\xbb<\x98\x95\xc4\xee\xa4Z'), chr(0b1100100) + '\145' + chr(0b1100011) + '\157' + chr(0b1100100) + '\145')(chr(5523 - 5406) + chr(0b1101000 + 0o14) + chr(102) + chr(45) + chr(2931 - 2875)))(xEgrFJ0REugl - xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xd5g\xc5\x8b\x17\xb7\xb2\xdd\xd7\xfdC'), chr(0b1011111 + 0o5) + chr(3142 - 3041) + chr(0b1011000 + 0o13) + '\x6f' + chr(0b1100100) + '\x65')(chr(117) + chr(0b1110100) + chr(8945 - 8843) + chr(45) + chr(1140 - 1084)))) xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xf0j\xea'), chr(1931 - 1831) + chr(5243 - 5142) + chr(0b101100 + 0o67) + chr(0b1010 + 0o145) + chr(0b1100100) + '\145')(chr(117) + chr(0b1011010 + 0o32) + chr(0b11101 + 0o111) + chr(0b101101) + '\x38')) else: return [xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xafj\xdc\xbb<\x98\x95\xc4\xee\xa4Z'), chr(8480 - 8380) + chr(101) + chr(0b1000111 + 0o34) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(12873 - 12756) + chr(116) + chr(4577 - 4475) + '\x2d' + chr(56)))(xEgrFJ0REugl - xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xd5g\xc5\x8b\x17\xb7\xb2\xdd\xd7\xfdC'), chr(100) + chr(0b1 + 0o144) + chr(99) + chr(0b1001010 + 0o45) + chr(0b10 + 0o142) + '\x65')(chr(12463 - 12346) + chr(3066 - 2950) + chr(0b1100110) + '\x2d' + chr(56)))) * xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xf0j\xea'), chr(100) + chr(3562 - 3461) + chr(0b1100011) + '\x6f' + chr(0b1100100) + '\145')('\x75' + chr(0b101110 + 0o106) + chr(102) + chr(0b10111 + 0o26) + '\070'))[WVxHKyX45z_L] for WVxHKyX45z_L in vQr8gNKaIaWE(xafqLlk3kkUe(oVre8I6UXc3b.coef, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd\xfez\xd5\x99\x18\x8f\x88\xe8\xd0\xf2V'), '\144' + '\x65' + chr(0b1100011) + chr(111) + '\144' + '\x65')(chr(0b1110101) + '\164' + chr(102) + '\055' + chr(0b111000)))[ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(48), 8)])]
slundberg/shap	shap/benchmark/models.py	independentlinear60__ffnn	def independentlinear60__ffnn(): """ 4-Layer Neural Network """ from keras.models import Sequential from keras.layers import Dense model = Sequential() model.add(Dense(32, activation='relu', input_dim=60)) model.add(Dense(20, activation='relu')) model.add(Dense(20, activation='relu')) model.add(Dense(1)) model.compile(optimizer='adam', loss='mean_squared_error', metrics=['mean_squared_error']) return KerasWrap(model, 30, flatten_output=True)	python	def independentlinear60__ffnn(): """ 4-Layer Neural Network """ from keras.models import Sequential from keras.layers import Dense model = Sequential() model.add(Dense(32, activation='relu', input_dim=60)) model.add(Dense(20, activation='relu')) model.add(Dense(20, activation='relu')) model.add(Dense(1)) model.compile(optimizer='adam', loss='mean_squared_error', metrics=['mean_squared_error']) return KerasWrap(model, 30, flatten_output=True)	[ "def", "independentlinear60__ffnn", "(", ")", ":", "from", "keras", ".", "models", "import", "Sequential", "from", "keras", ".", "layers", "import", "Dense", "model", "=", "Sequential", "(", ")", "model", ".", "add", "(", "Dense", "(", "32", ",", "activation", "=", "'relu'", ",", "input_dim", "=", "60", ")", ")", "model", ".", "add", "(", "Dense", "(", "20", ",", "activation", "=", "'relu'", ")", ")", "model", ".", "add", "(", "Dense", "(", "20", ",", "activation", "=", "'relu'", ")", ")", "model", ".", "add", "(", "Dense", "(", "1", ")", ")", "model", ".", "compile", "(", "optimizer", "=", "'adam'", ",", "loss", "=", "'mean_squared_error'", ",", "metrics", "=", "[", "'mean_squared_error'", "]", ")", "return", "KerasWrap", "(", "model", ",", "30", ",", "flatten_output", "=", "True", ")" ]	4-Layer Neural Network	[ "4", "-", "Layer", "Neural", "Network" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/models.py#L114-L130	train	4 - Layer Neural Network with 30 layers	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\062' + chr(51), 0b1000), ehT0Px3KOsy9(chr(1018 - 970) + chr(0b1101111) + '\x33' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b110010) + chr(0b110011) + chr(0b110010), 9049 - 9041), ehT0Px3KOsy9('\060' + chr(111) + chr(2453 - 2402) + '\x30' + chr(0b111 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(49) + chr(1682 - 1627) + chr(0b10000 + 0o44), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x34' + chr(54), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(54) + chr(751 - 700), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\060' + chr(1620 - 1567), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(449 - 394) + chr(54), 37187 - 37179), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10101 + 0o36) + '\x30' + chr(50), 8), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(51) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2802 - 2691) + chr(50) + chr(0b11111 + 0o25) + chr(54), 9433 - 9425), ehT0Px3KOsy9(chr(48) + '\157' + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(3542 - 3431) + chr(0b110011) + chr(53) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b10000 + 0o43) + chr(0b110110) + chr(49), 44359 - 44351), ehT0Px3KOsy9(chr(271 - 223) + '\157' + chr(0b1000 + 0o52) + chr(2402 - 2350) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\x34' + chr(48), 0b1000), ehT0Px3KOsy9(chr(1093 - 1045) + chr(111) + chr(1865 - 1814) + chr(0b110010) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + chr(0b110011) + chr(55) + chr(0b100 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(1444 - 1396) + chr(0b1101111) + chr(1109 - 1060) + chr(753 - 699) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101011 + 0o104) + chr(0b110001) + '\066' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + '\066' + chr(544 - 493), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(467 - 416) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(1618 - 1507) + chr(51) + '\063' + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\x36' + chr(0b11000 + 0o32), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\066' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + '\065' + chr(0b10111 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(1293 - 1245) + chr(111) + chr(0b110010) + '\x31' + chr(0b100100 + 0o23), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11100 + 0o26) + '\x32' + chr(0b100100 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(12264 - 12153) + chr(49) + chr(52) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1743 - 1695) + '\x6f' + '\061' + chr(0b10110 + 0o36) + chr(0b1010 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1 + 0o156) + chr(50) + chr(0b110010) + chr(496 - 444), 41344 - 41336), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(0b110011) + chr(52) + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1061 - 1011) + '\060' + '\064', 47070 - 47062), ehT0Px3KOsy9('\060' + chr(10520 - 10409) + chr(0b110010) + '\067' + chr(49), 0b1000), ehT0Px3KOsy9(chr(1518 - 1470) + chr(0b1101100 + 0o3) + chr(50) + chr(50) + chr(0b110100), 8), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(0b1001 + 0o52) + chr(54) + chr(0b1011 + 0o54), 53507 - 53499), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b100 + 0o153) + '\063' + chr(0b110000 + 0o1) + '\061', 9504 - 9496), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\066' + chr(0b11011 + 0o32), 3556 - 3548), ehT0Px3KOsy9('\x30' + chr(7396 - 7285) + chr(1148 - 1099) + chr(50), 2196 - 2188)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(0b100011 + 0o22) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'}'), chr(1395 - 1295) + chr(0b111011 + 0o52) + chr(99) + chr(111) + chr(0b101110 + 0o66) + '\x65')(chr(0b10101 + 0o140) + chr(0b110011 + 0o101) + chr(102) + '\x2d' + chr(1183 - 1127)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def MABs_uiWzBuL(): (z2MfOC_IPkHV,) = (xafqLlk3kkUe(xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'8\|\xe8\xa3\x0f\x08^\xea\x1a\xa7p\xd5'), chr(100) + chr(0b1001011 + 0o32) + '\x63' + '\157' + chr(0b10000 + 0o124) + chr(0b1100101))('\x75' + '\x74' + '\x66' + '\055' + chr(1358 - 1302)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x00\|\xeb\xb7\x19HG\xec\x1f\xae'), chr(0b11111 + 0o105) + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1001 + 0o133) + '\x65')('\x75' + '\x74' + chr(0b1011000 + 0o16) + chr(0b101101) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'>v\xfe\xa7\x10U'), '\x64' + chr(670 - 569) + '\143' + chr(0b1001000 + 0o47) + '\x64' + chr(7407 - 7306))(chr(0b111101 + 0o70) + '\x74' + chr(102) + '\x2d' + chr(168 - 112))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x00\|\xeb\xb7\x19HG\xec\x1f\xae'), '\144' + chr(101) + '\x63' + '\157' + '\144' + chr(0b1100101))(chr(7946 - 7829) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(56))),) (ORR2XRcYP28k,) = (xafqLlk3kkUe(xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'8\|\xe8\xa3\x0f\x08_\xe4\x07\xa7n\xd5'), '\144' + chr(101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b1100101))('\x75' + '\164' + chr(0b110001 + 0o65) + '\x2d' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\|\xf4\xb1\x19'), chr(0b110101 + 0o57) + '\145' + chr(0b1100011) + chr(111) + chr(4251 - 4151) + '\145')('\x75' + chr(0b1110100) + '\146' + chr(0b1101 + 0o40) + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b'?x\xe3\xa7\x0eU'), '\144' + chr(0b1100101) + chr(0b1001000 + 0o33) + chr(111) + chr(2736 - 2636) + '\x65')('\x75' + '\x74' + chr(7490 - 7388) + chr(0b101101) + '\x38')), xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\|\xf4\xb1\x19'), '\144' + chr(0b1010111 + 0o16) + chr(0b1100011) + '\x6f' + chr(3034 - 2934) + chr(101))(chr(117) + chr(12945 - 12829) + chr(0b1100101 + 0o1) + chr(1833 - 1788) + chr(56))),) FK0vqzZ5gPN6 = z2MfOC_IPkHV() xafqLlk3kkUe(FK0vqzZ5gPN6, xafqLlk3kkUe(SXOLrMavuUCe(b'&S\xaa\xb3EEt\xb0$\x8dN\x95'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1001 + 0o146) + chr(5164 - 5064) + chr(0b111000 + 0o55))(chr(0b110000 + 0o105) + chr(0b1110100) + '\146' + '\x2d' + chr(2019 - 1963)))(ORR2XRcYP28k(ehT0Px3KOsy9(chr(1374 - 1326) + '\157' + '\x34' + chr(0b110000), 0b1000), activation=xafqLlk3kkUe(SXOLrMavuUCe(b'!\|\xf6\xb7'), chr(100) + chr(640 - 539) + chr(99) + chr(0b11110 + 0o121) + '\x64' + chr(101))(chr(1633 - 1516) + '\164' + chr(102) + '\055' + '\070'), input_dim=ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(55) + chr(0b110100), 47571 - 47563))) xafqLlk3kkUe(FK0vqzZ5gPN6, xafqLlk3kkUe(SXOLrMavuUCe(b'&S\xaa\xb3EEt\xb0$\x8dN\x95'), chr(0b1100100) + '\x65' + chr(6737 - 6638) + chr(1126 - 1015) + chr(100) + '\x65')(chr(0b1110101) + '\x74' + '\146' + '\055' + chr(352 - 296)))(ORR2XRcYP28k(ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b100110 + 0o16), 0o10), activation=xafqLlk3kkUe(SXOLrMavuUCe(b'!\|\xf6\xb7'), '\x64' + chr(0b100000 + 0o105) + '\x63' + '\x6f' + chr(2409 - 2309) + '\x65')('\x75' + chr(10840 - 10724) + chr(0b110010 + 0o64) + '\x2d' + chr(0b111000)))) xafqLlk3kkUe(FK0vqzZ5gPN6, xafqLlk3kkUe(SXOLrMavuUCe(b'&S\xaa\xb3EEt\xb0$\x8dN\x95'), '\144' + '\145' + '\143' + chr(2657 - 2546) + chr(0b1100100) + chr(824 - 723))('\x75' + chr(0b1110100) + chr(102) + '\055' + chr(0b111 + 0o61)))(ORR2XRcYP28k(ehT0Px3KOsy9('\060' + '\157' + chr(0b111 + 0o53) + '\x34', 8), activation=xafqLlk3kkUe(SXOLrMavuUCe(b'!\|\xf6\xb7'), chr(0b101010 + 0o72) + '\145' + chr(99) + chr(111) + '\144' + '\x65')('\165' + chr(0b1110100) + '\x66' + chr(0b10 + 0o53) + chr(0b10 + 0o66)))) xafqLlk3kkUe(FK0vqzZ5gPN6, xafqLlk3kkUe(SXOLrMavuUCe(b'&S\xaa\xb3EEt\xb0$\x8dN\x95'), chr(669 - 569) + chr(0b1100101) + chr(5575 - 5476) + chr(0b101011 + 0o104) + chr(100) + '\145')(chr(117) + '\x74' + chr(0b101000 + 0o76) + chr(45) + chr(0b111000)))(ORR2XRcYP28k(ehT0Px3KOsy9(chr(48) + '\157' + '\061', ord("\x08")))) xafqLlk3kkUe(FK0vqzZ5gPN6, xafqLlk3kkUe(SXOLrMavuUCe(b'0v\xf7\xb2\x15JV'), '\144' + '\145' + chr(0b100011 + 0o100) + chr(9302 - 9191) + chr(0b1100100) + chr(5777 - 5676))(chr(10372 - 10255) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b1111 + 0o51)))(optimizer=xafqLlk3kkUe(SXOLrMavuUCe(b'2}\xfb\xaf'), chr(4704 - 4604) + chr(9841 - 9740) + chr(0b110101 + 0o56) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\x66' + '\x2d' + '\x38'), loss=xafqLlk3kkUe(SXOLrMavuUCe(b'>\|\xfb\xac#UB\xf0\x1f\xb0y\xc2Y\x88\x83\xd6\x0f\xa3'), '\x64' + '\x65' + chr(99) + chr(0b1101111 + 0o0) + chr(6070 - 5970) + chr(4237 - 4136))('\x75' + chr(116) + chr(0b1100110) + '\055' + chr(56)), metrics=[xafqLlk3kkUe(SXOLrMavuUCe(b'>\|\xfb\xac#UB\xf0\x1f\xb0y\xc2Y\x88\x83\xd6\x0f\xa3'), chr(0b1100100) + '\145' + chr(0b1010000 + 0o23) + '\157' + '\144' + chr(0b1100101))(chr(3485 - 3368) + chr(0b110 + 0o156) + '\146' + chr(1439 - 1394) + chr(2729 - 2673))]) return mVi4NJ2Oruzw(FK0vqzZ5gPN6, ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b110110), 0b1000), flatten_output=ehT0Px3KOsy9('\x30' + chr(4677 - 4566) + chr(444 - 395), 8))
slundberg/shap	shap/benchmark/models.py	cric__lasso	def cric__lasso(): """ Lasso Regression """ model = sklearn.linear_model.LogisticRegression(penalty="l1", C=0.002) # we want to explain the raw probability outputs of the trees model.predict = lambda X: model.predict_proba(X)[:,1] return model	python	def cric__lasso(): """ Lasso Regression """ model = sklearn.linear_model.LogisticRegression(penalty="l1", C=0.002) # we want to explain the raw probability outputs of the trees model.predict = lambda X: model.predict_proba(X)[:,1] return model	[ "def", "cric__lasso", "(", ")", ":", "model", "=", "sklearn", ".", "linear_model", ".", "LogisticRegression", "(", "penalty", "=", "\"l1\"", ",", "C", "=", "0.002", ")", "# we want to explain the raw probability outputs of the trees", "model", ".", "predict", "=", "lambda", "X", ":", "model", ".", "predict_proba", "(", "X", ")", "[", ":", ",", "1", "]", "return", "model" ]	Lasso Regression	[ "Lasso", "Regression" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/models.py#L133-L141	train	Lasso Regression	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111 + 0o0) + '\063' + chr(0b11000 + 0o32) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2141 - 2030) + chr(50) + '\x31' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + chr(0b110001) + chr(1232 - 1181) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b110111) + chr(1902 - 1849), 0o10), ehT0Px3KOsy9(chr(1751 - 1703) + chr(4302 - 4191) + '\066' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9690 - 9579) + chr(0b10000 + 0o46) + '\x32', 0b1000), ehT0Px3KOsy9(chr(1676 - 1628) + '\157' + chr(0b1000 + 0o53) + chr(53) + chr(0b11110 + 0o27), 50565 - 50557), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(49) + chr(0b110011) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(6277 - 6166) + chr(0b110011) + '\x34' + '\x36', 0o10), ehT0Px3KOsy9(chr(625 - 577) + chr(2516 - 2405) + chr(584 - 534) + chr(53) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b11 + 0o154) + '\061' + chr(0b110010) + chr(0b11010 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100110 + 0o11) + chr(0b110011) + chr(0b10110 + 0o32) + chr(0b1000 + 0o50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\x30' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(962 - 914) + chr(0b1101111) + '\063' + chr(0b110011) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b110000) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\x33' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(55) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100100 + 0o113) + '\062' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001100 + 0o43) + chr(0b11010 + 0o27) + '\061' + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110110) + chr(2035 - 1985), 31083 - 31075), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2172 - 2122) + chr(118 - 68) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(849 - 794) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(1535 - 1485) + chr(0b110010 + 0o5) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(417 - 367) + chr(0b110001) + '\x32', 36413 - 36405), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1263 - 1212) + chr(2557 - 2502) + '\067', 64702 - 64694), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(1526 - 1476) + '\065', 54266 - 54258), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(0b10010 + 0o36) + chr(0b101111 + 0o2), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\067' + '\063', 12397 - 12389), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(764 - 713) + chr(1610 - 1558) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(490 - 439) + chr(55) + '\067', 8), ehT0Px3KOsy9('\060' + chr(0b11101 + 0o122) + chr(49) + '\067' + '\x35', 8), ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + '\x32' + chr(0b111 + 0o55) + chr(0b100 + 0o57), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(2288 - 2237) + chr(0b10110 + 0o36) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(563 - 515) + chr(0b1101111) + '\x36' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010100 + 0o33) + chr(0b0 + 0o63) + chr(0b100000 + 0o20) + chr(0b10000 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(0b110010) + chr(1467 - 1413) + '\067', 31049 - 31041), ehT0Px3KOsy9(chr(2270 - 2222) + chr(0b110110 + 0o71) + chr(0b110011) + '\062' + chr(81 - 26), 11287 - 11279), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(0b10 + 0o60) + '\067' + '\x36', 0o10), ehT0Px3KOsy9(chr(248 - 200) + '\157' + chr(1921 - 1871), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101111 + 0o2) + chr(0b110110) + '\x30', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1010011 + 0o34) + chr(7376 - 7276) + '\x65')(chr(0b11011 + 0o132) + '\164' + '\x66' + '\055' + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def m8k3pU_jMiIf(): FK0vqzZ5gPN6 = U_a7OzgTlwvr.linear_model.LogisticRegression(penalty=xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xbd'), chr(0b1100100) + chr(5229 - 5128) + chr(3824 - 3725) + chr(0b101100 + 0o103) + chr(4737 - 4637) + chr(4384 - 4283))('\x75' + '\x74' + chr(0b10100 + 0o122) + chr(0b101101) + '\x38'), C=0.002) FK0vqzZ5gPN6.POyImYQwg5VB = lambda xEgrFJ0REugl: FK0vqzZ5gPN6.predict_proba(xEgrFJ0REugl)[:, ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10111 + 0o32), 0o10)] return FK0vqzZ5gPN6
slundberg/shap	shap/benchmark/models.py	cric__ridge	def cric__ridge(): """ Ridge Regression """ model = sklearn.linear_model.LogisticRegression(penalty="l2") # we want to explain the raw probability outputs of the trees model.predict = lambda X: model.predict_proba(X)[:,1] return model	python	def cric__ridge(): """ Ridge Regression """ model = sklearn.linear_model.LogisticRegression(penalty="l2") # we want to explain the raw probability outputs of the trees model.predict = lambda X: model.predict_proba(X)[:,1] return model	[ "def", "cric__ridge", "(", ")", ":", "model", "=", "sklearn", ".", "linear_model", ".", "LogisticRegression", "(", "penalty", "=", "\"l2\"", ")", "# we want to explain the raw probability outputs of the trees", "model", ".", "predict", "=", "lambda", "X", ":", "model", ".", "predict_proba", "(", "X", ")", "[", ":", ",", "1", "]", "return", "model" ]	Ridge Regression	[ "Ridge", "Regression" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/models.py#L143-L151	train	Ridge Regression	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(4802 - 4691) + chr(49) + chr(51) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(55) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110110) + chr(52), 0b1000), ehT0Px3KOsy9(chr(739 - 691) + '\157' + chr(0b110010) + chr(49) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(717 - 669) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(1176 - 1065) + '\x33' + chr(0b11100 + 0o26) + chr(598 - 548), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(252 - 203) + '\x32' + '\064', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(1969 - 1919) + '\x37' + chr(0b10100 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + '\061' + chr(547 - 498), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(0b110 + 0o54) + chr(49) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b10101 + 0o35) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1010000 + 0o37) + chr(0b110011) + chr(0b10111 + 0o31) + '\065', 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1111 + 0o140) + chr(0b101010 + 0o7) + chr(980 - 932) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + '\062' + chr(55) + chr(524 - 476), 8), ehT0Px3KOsy9(chr(1016 - 968) + chr(111) + chr(0b110011) + '\062' + chr(51), 0o10), ehT0Px3KOsy9(chr(431 - 383) + chr(111) + chr(0b110010) + chr(0b11011 + 0o32) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(50) + chr(51) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(52) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + '\x31' + chr(50) + chr(51), 8), ehT0Px3KOsy9(chr(48) + chr(7352 - 7241) + chr(0b110010) + chr(54) + chr(1000 - 947), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(0b1 + 0o62) + '\x33' + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8291 - 8180) + chr(610 - 559) + '\x30' + chr(2050 - 1997), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\067' + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(0b110010) + chr(0b101010 + 0o10), 8), ehT0Px3KOsy9(chr(504 - 456) + '\x6f' + chr(51) + chr(1505 - 1453) + chr(0b101 + 0o54), 8), ehT0Px3KOsy9('\x30' + '\157' + '\064' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + '\063' + chr(0b100000 + 0o27) + chr(0b110011), 8), ehT0Px3KOsy9(chr(48 - 0) + chr(3992 - 3881) + chr(2569 - 2514) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(2141 - 2088) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\x30' + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + chr(0b110011) + '\x32' + '\063', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100 + 0o55) + chr(54) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + '\063' + '\061' + chr(0b100001 + 0o20), 8), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b11000 + 0o127) + chr(0b0 + 0o61) + '\063' + chr(1868 - 1816), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(1062 - 1011) + '\062' + '\062', 8), ehT0Px3KOsy9('\060' + chr(1774 - 1663) + chr(0b110010) + '\062' + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(9925 - 9814) + '\x32' + '\063' + chr(1669 - 1621), 59640 - 59632), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(55) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(0b101011 + 0o104) + chr(2015 - 1964) + chr(51) + '\066', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(948 - 900) + chr(111) + '\065' + chr(1448 - 1400), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'w'), chr(100) + '\145' + '\143' + chr(0b1101111) + '\144' + chr(4068 - 3967))('\165' + chr(116) + '\x66' + chr(0b10 + 0o53) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def xcP0nPgicssc(): FK0vqzZ5gPN6 = U_a7OzgTlwvr.linear_model.LogisticRegression(penalty=xafqLlk3kkUe(SXOLrMavuUCe(b'5\xc9'), chr(5744 - 5644) + chr(101) + '\143' + chr(111) + '\x64' + '\x65')(chr(5671 - 5554) + chr(116) + chr(0b1100110) + chr(45) + chr(0b111000))) FK0vqzZ5gPN6.POyImYQwg5VB = lambda xEgrFJ0REugl: FK0vqzZ5gPN6.predict_proba(xEgrFJ0REugl)[:, ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + chr(0b110001), 49149 - 49141)] return FK0vqzZ5gPN6
slundberg/shap	shap/benchmark/models.py	cric__decision_tree	def cric__decision_tree(): """ Decision Tree """ model = sklearn.tree.DecisionTreeClassifier(random_state=0, max_depth=4) # we want to explain the raw probability outputs of the trees model.predict = lambda X: model.predict_proba(X)[:,1] return model	python	def cric__decision_tree(): """ Decision Tree """ model = sklearn.tree.DecisionTreeClassifier(random_state=0, max_depth=4) # we want to explain the raw probability outputs of the trees model.predict = lambda X: model.predict_proba(X)[:,1] return model	[ "def", "cric__decision_tree", "(", ")", ":", "model", "=", "sklearn", ".", "tree", ".", "DecisionTreeClassifier", "(", "random_state", "=", "0", ",", "max_depth", "=", "4", ")", "# we want to explain the raw probability outputs of the trees", "model", ".", "predict", "=", "lambda", "X", ":", "model", ".", "predict_proba", "(", "X", ")", "[", ":", ",", "1", "]", "return", "model" ]	Decision Tree	[ "Decision", "Tree" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/models.py#L153-L161	train	Decision Tree Classifier	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(0b110001 + 0o2) + chr(0b110011) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10000 + 0o137) + chr(0b10 + 0o61) + '\x33' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100 + 0o143) + chr(49) + chr(2050 - 2002) + chr(54), 23582 - 23574), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100110 + 0o13) + chr(0b100010 + 0o17) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1926 - 1877) + '\x32' + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(49) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111110 + 0o61) + chr(0b10001 + 0o41) + chr(0b110001) + chr(0b110110), 8), ehT0Px3KOsy9(chr(570 - 522) + '\x6f' + chr(49) + chr(0b110000) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1841 - 1730) + '\x31' + chr(1165 - 1112) + chr(2036 - 1986), 19047 - 19039), ehT0Px3KOsy9(chr(1217 - 1169) + chr(0b1010111 + 0o30) + '\061' + chr(0b101010 + 0o10) + chr(51), 31747 - 31739), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\x35' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(7333 - 7222) + chr(0b110100) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\x6f' + chr(51) + chr(0b110001) + chr(0b100101 + 0o20), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(0b1111 + 0o140) + '\x33' + chr(109 - 61) + chr(0b101101 + 0o6), 0b1000), ehT0Px3KOsy9(chr(1626 - 1578) + '\x6f' + chr(0b110001) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(719 - 670) + chr(51) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(109 - 60) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010110 + 0o31) + '\x36', 49814 - 49806), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(11867 - 11756) + chr(0b110011) + chr(55) + chr(0b1000 + 0o55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b101100 + 0o12) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b110011) + '\064', 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1011100 + 0o23) + chr(755 - 701) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(64 - 16) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110111 + 0o70) + '\x32' + '\x30' + chr(52), 3476 - 3468), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x37' + '\063', 24008 - 24000), ehT0Px3KOsy9(chr(0b110000) + chr(4776 - 4665) + '\x35' + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(0b10000 + 0o137) + chr(50) + chr(1570 - 1517) + chr(1819 - 1766), 0b1000), ehT0Px3KOsy9(chr(1908 - 1860) + chr(0b100000 + 0o117) + '\066' + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(2309 - 2198) + chr(0b11011 + 0o30) + '\x30' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(801 - 752) + chr(0b110010) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + '\x31' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110111) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1422 - 1374) + '\x6f' + chr(0b100110 + 0o13) + chr(2278 - 2228) + '\067', 8), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b10000 + 0o47) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011111 + 0o20) + chr(2483 - 2433) + chr(49) + chr(0b110100), 46011 - 46003), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101001 + 0o14) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7683 - 7572) + chr(0b1111 + 0o43) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(52), 48256 - 48248), ehT0Px3KOsy9(chr(1954 - 1906) + chr(0b1101000 + 0o7) + chr(0b101000 + 0o11) + chr(53) + chr(509 - 459), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1385 - 1337) + chr(111) + chr(1740 - 1687) + chr(119 - 71), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3'), chr(0b1100100) + chr(0b1100101) + chr(0b100110 + 0o75) + chr(0b1001000 + 0o47) + chr(100) + '\145')(chr(0b1010010 + 0o43) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(662 - 606)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def D3TPNtbD_WAA(): FK0vqzZ5gPN6 = U_a7OzgTlwvr.tree.DecisionTreeClassifier(random_state=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100011 + 0o15), 0o10), max_depth=ehT0Px3KOsy9(chr(1184 - 1136) + '\x6f' + '\x34', 18170 - 18162)) FK0vqzZ5gPN6.POyImYQwg5VB = lambda xEgrFJ0REugl: FK0vqzZ5gPN6.predict_proba(xEgrFJ0REugl)[:, ehT0Px3KOsy9('\x30' + chr(8471 - 8360) + '\061', 0o10)] return FK0vqzZ5gPN6
slundberg/shap	shap/benchmark/models.py	cric__random_forest	def cric__random_forest(): """ Random Forest """ model = sklearn.ensemble.RandomForestClassifier(100, random_state=0) # we want to explain the raw probability outputs of the trees model.predict = lambda X: model.predict_proba(X)[:,1] return model	python	def cric__random_forest(): """ Random Forest """ model = sklearn.ensemble.RandomForestClassifier(100, random_state=0) # we want to explain the raw probability outputs of the trees model.predict = lambda X: model.predict_proba(X)[:,1] return model	[ "def", "cric__random_forest", "(", ")", ":", "model", "=", "sklearn", ".", "ensemble", ".", "RandomForestClassifier", "(", "100", ",", "random_state", "=", "0", ")", "# we want to explain the raw probability outputs of the trees", "model", ".", "predict", "=", "lambda", "X", ":", "model", ".", "predict_proba", "(", "X", ")", "[", ":", ",", "1", "]", "return", "model" ]	Random Forest	[ "Random", "Forest" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/models.py#L163-L171	train	Random Forest classifier.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(0b1101 + 0o44) + '\x31' + chr(957 - 906), 0o10), ehT0Px3KOsy9(chr(2028 - 1980) + chr(0b10100 + 0o133) + '\x31' + chr(55) + chr(54), 15493 - 15485), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1000011 + 0o54) + chr(0b1 + 0o60) + chr(0b11010 + 0o35) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111000 + 0o67) + chr(55) + chr(0b0 + 0o64), 55360 - 55352), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(7014 - 6903) + chr(0b110100) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(2129 - 2080) + chr(55) + chr(0b110010), 34745 - 34737), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\063' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1110 + 0o43) + chr(49) + chr(2543 - 2490), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(0b110001) + chr(55) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(9009 - 8898) + chr(0b100110 + 0o14) + chr(54) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101001 + 0o6) + '\062' + chr(0b100110 + 0o16) + '\x33', 37434 - 37426), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\x34' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b100 + 0o55) + chr(0b101110 + 0o11) + chr(51), 8), ehT0Px3KOsy9(chr(48) + chr(12076 - 11965) + chr(831 - 782) + chr(0b100101 + 0o13) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(8843 - 8732) + chr(49) + '\x32' + chr(0b10 + 0o57), 0b1000), ehT0Px3KOsy9(chr(48) + chr(12047 - 11936) + '\062' + '\061' + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1998 - 1948) + chr(1643 - 1589) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b11010 + 0o125) + chr(49) + chr(2991 - 2936) + chr(1987 - 1939), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\x34' + chr(0b110101), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11001 + 0o31) + chr(0b110000) + '\063', 39900 - 39892), ehT0Px3KOsy9('\x30' + chr(5478 - 5367) + chr(0b101001 + 0o14) + chr(0b110001), 25550 - 25542), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(2247 - 2136) + '\065' + chr(1692 - 1644), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1615 - 1504) + '\x31' + '\067' + chr(1769 - 1719), 8), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1000110 + 0o51) + chr(790 - 739) + chr(0b10 + 0o65) + chr(0b1001 + 0o47), 3388 - 3380), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(630 - 581) + '\x35' + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(7629 - 7518) + chr(0b100010 + 0o21) + '\067' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(1700 - 1645) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\x33' + chr(1253 - 1205), ord("\x08")), ehT0Px3KOsy9(chr(2105 - 2057) + chr(0b1101010 + 0o5) + chr(0b101 + 0o54) + '\067' + chr(0b10010 + 0o37), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(10882 - 10771) + chr(50) + chr(0b101100 + 0o7) + '\x33', 5975 - 5967), ehT0Px3KOsy9('\060' + chr(0b100000 + 0o117) + chr(0b110111) + chr(0b10101 + 0o34), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10000 + 0o41) + '\061' + '\061', 44270 - 44262), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(2291 - 2243) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\x36' + chr(0b110100), 20884 - 20876), ehT0Px3KOsy9('\x30' + chr(0b111011 + 0o64) + chr(248 - 198) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(52 - 4) + '\157' + '\062' + '\x30' + chr(51), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\066' + '\x33', 21500 - 21492), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1011 + 0o50) + chr(729 - 676) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\066', 48416 - 48408), ehT0Px3KOsy9(chr(1304 - 1256) + '\x6f' + chr(51) + chr(0b110101) + '\x32', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + chr(53) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'e'), chr(4667 - 4567) + chr(1777 - 1676) + chr(0b11101 + 0o106) + chr(279 - 168) + chr(0b1100100) + chr(0b101 + 0o140))(chr(0b1011001 + 0o34) + '\164' + chr(102) + chr(45) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def YkX4DTCdx7Au(): FK0vqzZ5gPN6 = U_a7OzgTlwvr.ensemble.RandomForestClassifier(ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(52) + '\064', 0o10), random_state=ehT0Px3KOsy9(chr(1030 - 982) + chr(11724 - 11613) + chr(917 - 869), 44260 - 44252)) FK0vqzZ5gPN6.POyImYQwg5VB = lambda xEgrFJ0REugl: FK0vqzZ5gPN6.predict_proba(xEgrFJ0REugl)[:, ehT0Px3KOsy9('\060' + chr(11667 - 11556) + chr(0b110001), 28411 - 28403)] return FK0vqzZ5gPN6
slundberg/shap	shap/benchmark/models.py	cric__gbm	def cric__gbm(): """ Gradient Boosted Trees """ import xgboost # max_depth and subsample match the params used for the full cric data in the paper # learning_rate was set a bit higher to allow for faster runtimes # n_estimators was chosen based on a train/test split of the data model = xgboost.XGBClassifier(max_depth=5, n_estimators=400, learning_rate=0.01, subsample=0.2, n_jobs=8, random_state=0) # we want to explain the margin, not the transformed probability outputs model.__orig_predict = model.predict model.predict = lambda X: model.__orig_predict(X, output_margin=True) # pylint: disable=E1123 return model	python	def cric__gbm(): """ Gradient Boosted Trees """ import xgboost # max_depth and subsample match the params used for the full cric data in the paper # learning_rate was set a bit higher to allow for faster runtimes # n_estimators was chosen based on a train/test split of the data model = xgboost.XGBClassifier(max_depth=5, n_estimators=400, learning_rate=0.01, subsample=0.2, n_jobs=8, random_state=0) # we want to explain the margin, not the transformed probability outputs model.__orig_predict = model.predict model.predict = lambda X: model.__orig_predict(X, output_margin=True) # pylint: disable=E1123 return model	[ "def", "cric__gbm", "(", ")", ":", "import", "xgboost", "# max_depth and subsample match the params used for the full cric data in the paper", "# learning_rate was set a bit higher to allow for faster runtimes", "# n_estimators was chosen based on a train/test split of the data", "model", "=", "xgboost", ".", "XGBClassifier", "(", "max_depth", "=", "5", ",", "n_estimators", "=", "400", ",", "learning_rate", "=", "0.01", ",", "subsample", "=", "0.2", ",", "n_jobs", "=", "8", ",", "random_state", "=", "0", ")", "# we want to explain the margin, not the transformed probability outputs", "model", ".", "__orig_predict", "=", "model", ".", "predict", "model", ".", "predict", "=", "lambda", "X", ":", "model", ".", "__orig_predict", "(", "X", ",", "output_margin", "=", "True", ")", "# pylint: disable=E1123", "return", "model" ]	Gradient Boosted Trees	[ "Gradient", "Boosted", "Trees" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/models.py#L173-L187	train	Gradient Boosted Trees	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(6959 - 6848) + '\x33' + '\063' + chr(0b1 + 0o65), 23870 - 23862), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(50), 57804 - 57796), ehT0Px3KOsy9('\060' + chr(111) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1216 - 1165) + chr(0b100111 + 0o14) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1359 - 1309) + chr(0b110011 + 0o0) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10100 + 0o133) + chr(0b10010 + 0o37) + chr(1727 - 1676), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + '\x33' + chr(876 - 821) + chr(1298 - 1244), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(54) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6136 - 6025) + '\063' + chr(1537 - 1486) + chr(288 - 238), ord("\x08")), ehT0Px3KOsy9(chr(1220 - 1172) + chr(0b10101 + 0o132) + chr(0b110001) + chr(53), 42972 - 42964), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110110) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110111), 15315 - 15307), ehT0Px3KOsy9(chr(818 - 770) + chr(0b10000 + 0o137) + chr(0b110010) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6424 - 6313) + '\062' + chr(0b11101 + 0o23) + chr(0b100000 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(1831 - 1783) + '\157' + chr(2342 - 2291) + chr(0b110011) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000111 + 0o50) + chr(50) + '\063' + chr(0b110111), 28426 - 28418), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(1267 - 1216) + chr(0b11110 + 0o23), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\067' + '\064', 0o10), ehT0Px3KOsy9(chr(1604 - 1556) + chr(111) + '\x32' + chr(55) + '\x32', 62785 - 62777), ehT0Px3KOsy9(chr(180 - 132) + chr(111) + '\065' + '\x31', 3917 - 3909), ehT0Px3KOsy9('\x30' + chr(2687 - 2576) + chr(1772 - 1723) + chr(0b110111), 32467 - 32459), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\064' + chr(54), 62744 - 62736), ehT0Px3KOsy9('\060' + chr(0b0 + 0o157) + chr(0b110011) + chr(0b10101 + 0o35) + '\062', 33955 - 33947), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(53) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1628 - 1580) + chr(0b10110 + 0o131) + '\x32' + chr(2178 - 2126) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(543 - 490) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1611 - 1500) + chr(0b1001 + 0o51) + '\060' + chr(0b11001 + 0o27), 0o10), ehT0Px3KOsy9(chr(2012 - 1964) + chr(0b1000010 + 0o55) + chr(1931 - 1881) + chr(0b110011) + chr(0b1001 + 0o52), 0o10), ehT0Px3KOsy9(chr(964 - 916) + '\157' + '\x33' + chr(48) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101010 + 0o5) + chr(0b110011) + chr(0b101111 + 0o10) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(808 - 760) + chr(3675 - 3564) + chr(2531 - 2480) + chr(0b110100) + chr(55), 6476 - 6468), ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + chr(0b1010 + 0o47) + '\x36' + chr(0b110010), 15559 - 15551), ehT0Px3KOsy9('\x30' + chr(0b101110 + 0o101) + chr(0b101001 + 0o11) + chr(736 - 688) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1154 - 1105) + chr(0b110111) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(918 - 870) + '\157' + '\x33' + chr(0b110001) + chr(0b110000), 9103 - 9095), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + '\x31' + '\062', 8), ehT0Px3KOsy9('\060' + '\157' + chr(1636 - 1586) + chr(2223 - 2174) + '\x30', 0o10), ehT0Px3KOsy9(chr(1952 - 1904) + '\157' + chr(1873 - 1824) + '\x32' + chr(1316 - 1267), 43841 - 43833), ehT0Px3KOsy9('\x30' + chr(4133 - 4022) + '\x33' + chr(2835 - 2781) + chr(0b11110 + 0o31), 10709 - 10701), ehT0Px3KOsy9('\x30' + '\x6f' + chr(52), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(10262 - 10151) + chr(0b101000 + 0o15) + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0'), chr(0b101000 + 0o74) + '\145' + chr(0b1100011) + '\157' + chr(100) + chr(101))(chr(0b1110101) + chr(116) + chr(102) + chr(45) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def D3aA3G_scTdH(): (NKmEqkybnax6,) = (jFWsnpHpAUWz(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6md\xb3\xf6x\x8a'), chr(8469 - 8369) + chr(101) + chr(1730 - 1631) + chr(0b1101111) + chr(3437 - 3337) + chr(0b1100100 + 0o1))(chr(117) + '\x74' + chr(922 - 820) + chr(0b11000 + 0o25) + '\x38')),) FK0vqzZ5gPN6 = NKmEqkybnax6.XGBClassifier(max_depth=ehT0Px3KOsy9('\060' + chr(6054 - 5943) + chr(447 - 394), 0b1000), n_estimators=ehT0Px3KOsy9(chr(0b110000) + '\157' + '\066' + '\x32' + '\060', 0b1000), learning_rate=0.01, subsample=0.2, n_jobs=ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + '\061' + chr(0b110000), ord("\x08")), random_state=ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(2049 - 2001), 0b1000)) FK0vqzZ5gPN6.RkUhLDGWF9Op = FK0vqzZ5gPN6.POyImYQwg5VB FK0vqzZ5gPN6.POyImYQwg5VB = lambda xEgrFJ0REugl: FK0vqzZ5gPN6.RkUhLDGWF9Op(xEgrFJ0REugl, output_margin=ehT0Px3KOsy9(chr(1215 - 1167) + chr(2907 - 2796) + chr(0b1110 + 0o43), ord("\x08"))) return FK0vqzZ5gPN6
slundberg/shap	shap/benchmark/models.py	human__decision_tree	def human__decision_tree(): """ Decision Tree """ # build data N = 1000000 M = 3 X = np.zeros((N,M)) X.shape y = np.zeros(N) X[0, 0] = 1 y[0] = 8 X[1, 1] = 1 y[1] = 8 X[2, 0:2] = 1 y[2] = 4 # fit model xor_model = sklearn.tree.DecisionTreeRegressor(max_depth=2) xor_model.fit(X, y) return xor_model	python	def human__decision_tree(): """ Decision Tree """ # build data N = 1000000 M = 3 X = np.zeros((N,M)) X.shape y = np.zeros(N) X[0, 0] = 1 y[0] = 8 X[1, 1] = 1 y[1] = 8 X[2, 0:2] = 1 y[2] = 4 # fit model xor_model = sklearn.tree.DecisionTreeRegressor(max_depth=2) xor_model.fit(X, y) return xor_model	[ "def", "human__decision_tree", "(", ")", ":", "# build data", "N", "=", "1000000", "M", "=", "3", "X", "=", "np", ".", "zeros", "(", "(", "N", ",", "M", ")", ")", "X", ".", "shape", "y", "=", "np", ".", "zeros", "(", "N", ")", "X", "[", "0", ",", "0", "]", "=", "1", "y", "[", "0", "]", "=", "8", "X", "[", "1", ",", "1", "]", "=", "1", "y", "[", "1", "]", "=", "8", "X", "[", "2", ",", "0", ":", "2", "]", "=", "1", "y", "[", "2", "]", "=", "4", "# fit model", "xor_model", "=", "sklearn", ".", "tree", ".", "DecisionTreeRegressor", "(", "max_depth", "=", "2", ")", "xor_model", ".", "fit", "(", "X", ",", "y", ")", "return", "xor_model" ]	Decision Tree	[ "Decision", "Tree" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/models.py#L209-L230	train	Return Decision TreeRegressor for human - readable tree.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(1893 - 1782) + chr(0b110011) + '\062' + chr(0b110000), 10818 - 10810), ehT0Px3KOsy9('\x30' + chr(111) + chr(2195 - 2145) + chr(49) + chr(0b11010 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b100 + 0o153) + '\062' + chr(1272 - 1220) + chr(0b1110 + 0o42), 29332 - 29324), ehT0Px3KOsy9(chr(0b110000) + chr(0b101010 + 0o105) + chr(671 - 622) + chr(48) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + '\061' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(810 - 762) + chr(10786 - 10675) + chr(0b100010 + 0o21) + chr(0b1010 + 0o55) + chr(1540 - 1489), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11101 + 0o24) + '\061' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + chr(0b11100 + 0o33) + '\065', 12160 - 12152), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x36' + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b110111) + '\x35', 0o10), ehT0Px3KOsy9(chr(1273 - 1225) + '\x6f' + chr(51) + '\x37' + '\063', 8), ehT0Px3KOsy9(chr(48) + chr(0b100100 + 0o113) + chr(51) + chr(0b110001) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(2000 - 1952) + chr(0b10011 + 0o134) + chr(50) + chr(49) + '\066', 47179 - 47171), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(50) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(2332 - 2281) + '\x31' + chr(0b110010), 10066 - 10058), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110111) + chr(0b101010 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(310 - 262) + '\157' + chr(51) + chr(0b110110) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1005 - 957) + chr(0b1101111) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(976 - 926) + chr(0b1100 + 0o50) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(925 - 877) + '\x6f' + chr(49) + '\x34' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(2720 - 2666) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + '\062' + chr(0b110101) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(51) + chr(1593 - 1543) + '\061', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(300 - 245) + chr(0b1011 + 0o50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1011 + 0o50) + '\x37' + '\061', 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(7242 - 7131) + chr(0b1011 + 0o47) + chr(0b100110 + 0o12) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1380 - 1332) + '\x6f' + chr(0b10100 + 0o37) + chr(0b1010 + 0o55) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11000 + 0o32) + chr(2677 - 2623) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(55) + '\067', 1785 - 1777), ehT0Px3KOsy9('\060' + chr(9859 - 9748) + '\x32' + chr(0b11000 + 0o35) + '\062', 0o10), ehT0Px3KOsy9(chr(2233 - 2185) + chr(0b1110 + 0o141) + '\067' + chr(2596 - 2545), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1110 + 0o44) + chr(48) + chr(55), 0o10), ehT0Px3KOsy9(chr(1212 - 1164) + chr(111) + chr(1872 - 1823) + '\x33', 7388 - 7380), ehT0Px3KOsy9(chr(0b110000) + chr(0b101000 + 0o107) + '\062' + chr(1351 - 1299), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + '\x32' + chr(557 - 505) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1100000 + 0o17) + chr(0b10100 + 0o42) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b1110 + 0o46) + chr(1468 - 1417), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100011 + 0o114) + chr(0b1001 + 0o52) + chr(0b100111 + 0o17) + chr(217 - 162), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(158 - 109) + chr(0b110011) + chr(0b100100 + 0o14), 50304 - 50296), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1001000 + 0o47) + chr(0b10100 + 0o35) + chr(0b110111) + chr(635 - 587), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(440 - 392) + '\157' + '\x35' + chr(48), 59916 - 59908)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe'), chr(2292 - 2192) + chr(101) + chr(0b1100011) + '\x6f' + chr(9739 - 9639) + '\x65')(chr(0b101010 + 0o113) + chr(0b1110100) + chr(102) + '\055' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def vDQyeBM8SOCn(): vn4sOrFiSB4c = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(54) + chr(1829 - 1777) + chr(1027 - 978) + chr(0b110001) + chr(980 - 932) + '\x30', ord("\x08")) ed0oVQ7n0Y_q = ehT0Px3KOsy9(chr(324 - 276) + chr(111) + '\x33', 0b1000) xEgrFJ0REugl = WqUC3KWvYVup.zeros((vn4sOrFiSB4c, ed0oVQ7n0Y_q)) xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\xed\xd5\x1dk\xb7.Qf\r\x98\xa9'), chr(9492 - 9392) + chr(0b1011011 + 0o12) + chr(0b1011111 + 0o4) + chr(6199 - 6088) + chr(0b1111 + 0o125) + '\x65')(chr(117) + chr(0b11 + 0o161) + chr(102) + '\055' + '\x38')) SqiSOtYOqOJH = WqUC3KWvYVup.zeros(vn4sOrFiSB4c) xEgrFJ0REugl[ehT0Px3KOsy9(chr(48) + chr(0b11011 + 0o124) + '\x30', 53721 - 53713), ehT0Px3KOsy9(chr(112 - 64) + chr(153 - 42) + chr(0b100010 + 0o16), 8)] = ehT0Px3KOsy9('\060' + chr(1208 - 1097) + '\x31', 0o10) SqiSOtYOqOJH[ehT0Px3KOsy9('\060' + chr(0b101001 + 0o106) + chr(0b110000), 8)] = ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\x30', 59885 - 59877) xEgrFJ0REugl[ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100000 + 0o21), 8), ehT0Px3KOsy9(chr(560 - 512) + chr(0b1101111) + chr(49), 8)] = ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1001111 + 0o40) + '\061', 8) SqiSOtYOqOJH[ehT0Px3KOsy9('\060' + '\157' + '\x31', 8)] = ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(1901 - 1852) + '\060', 8) xEgrFJ0REugl[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062', 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + '\x30', 8):ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010), 8)] = ehT0Px3KOsy9('\x30' + chr(738 - 627) + '\x31', 8) SqiSOtYOqOJH[ehT0Px3KOsy9('\060' + chr(8425 - 8314) + chr(1602 - 1552), 8)] = ehT0Px3KOsy9(chr(0b110000) + chr(4241 - 4130) + '\x34', 0b1000) Fj7xVYMLXfpo = U_a7OzgTlwvr.tree.DecisionTreeRegressor(max_depth=ehT0Px3KOsy9(chr(1136 - 1088) + chr(9487 - 9376) + chr(0b11010 + 0o30), 8)) xafqLlk3kkUe(Fj7xVYMLXfpo, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6\xe5\xd4'), chr(1598 - 1498) + chr(0b110110 + 0o57) + '\143' + '\x6f' + '\x64' + chr(0b1100101))('\x75' + chr(116) + '\146' + chr(1285 - 1240) + chr(1344 - 1288)))(xEgrFJ0REugl, SqiSOtYOqOJH) return Fj7xVYMLXfpo
slundberg/shap	shap/plots/summary.py	summary_plot	def summary_plot(shap_values, features=None, feature_names=None, max_display=None, plot_type="dot", color=None, axis_color="#333333", title=None, alpha=1, show=True, sort=True, color_bar=True, auto_size_plot=True, layered_violin_max_num_bins=20, class_names=None): """Create a SHAP summary plot, colored by feature values when they are provided. Parameters ---------- shap_values : numpy.array Matrix of SHAP values (# samples x # features) features : numpy.array or pandas.DataFrame or list Matrix of feature values (# samples x # features) or a feature_names list as shorthand feature_names : list Names of the features (length # features) max_display : int How many top features to include in the plot (default is 20, or 7 for interaction plots) plot_type : "dot" (default) or "violin" What type of summary plot to produce """ multi_class = False if isinstance(shap_values, list): multi_class = True plot_type = "bar" # only type supported for now else: assert len(shap_values.shape) != 1, "Summary plots need a matrix of shap_values, not a vector." # default color: if color is None: if plot_type == 'layered_violin': color = "coolwarm" elif multi_class: color = lambda i: colors.red_blue_circle(i/len(shap_values)) else: color = colors.blue_rgb # convert from a DataFrame or other types if str(type(features)) == "<class 'pandas.core.frame.DataFrame'>": if feature_names is None: feature_names = features.columns features = features.values elif isinstance(features, list): if feature_names is None: feature_names = features features = None elif (features is not None) and len(features.shape) == 1 and feature_names is None: feature_names = features features = None num_features = (shap_values[0].shape[1] if multi_class else shap_values.shape[1]) if feature_names is None: feature_names = np.array([labels['FEATURE'] % str(i) for i in range(num_features)]) # plotting SHAP interaction values if not multi_class and len(shap_values.shape) == 3: if max_display is None: max_display = 7 else: max_display = min(len(feature_names), max_display) sort_inds = np.argsort(-np.abs(shap_values.sum(1)).sum(0)) # get plotting limits delta = 1.0 / (shap_values.shape[1] ** 2) slow = np.nanpercentile(shap_values, delta) shigh = np.nanpercentile(shap_values, 100 - delta) v = max(abs(slow), abs(shigh)) slow = -v shigh = v pl.figure(figsize=(1.5 * max_display + 1, 0.8 * max_display + 1)) pl.subplot(1, max_display, 1) proj_shap_values = shap_values[:, sort_inds[0], sort_inds] proj_shap_values[:, 1:] = 2 # because off diag effects are split in half summary_plot( proj_shap_values, features[:, sort_inds] if features is not None else None, feature_names=feature_names[sort_inds], sort=False, show=False, color_bar=False, auto_size_plot=False, max_display=max_display ) pl.xlim((slow, shigh)) pl.xlabel("") title_length_limit = 11 pl.title(shorten_text(feature_names[sort_inds[0]], title_length_limit)) for i in range(1, min(len(sort_inds), max_display)): ind = sort_inds[i] pl.subplot(1, max_display, i + 1) proj_shap_values = shap_values[:, ind, sort_inds] proj_shap_values = 2 proj_shap_values[:, i] /= 2 # because only off diag effects are split in half summary_plot( proj_shap_values, features[:, sort_inds] if features is not None else None, sort=False, feature_names=["" for i in range(len(feature_names))], show=False, color_bar=False, auto_size_plot=False, max_display=max_display ) pl.xlim((slow, shigh)) pl.xlabel("") if i == min(len(sort_inds), max_display) // 2: pl.xlabel(labels['INTERACTION_VALUE']) pl.title(shorten_text(feature_names[ind], title_length_limit)) pl.tight_layout(pad=0, w_pad=0, h_pad=0.0) pl.subplots_adjust(hspace=0, wspace=0.1) if show: pl.show() return if max_display is None: max_display = 20 if sort: # order features by the sum of their effect magnitudes if multi_class: feature_order = np.argsort(np.sum(np.mean(np.abs(shap_values), axis=0), axis=0)) else: feature_order = np.argsort(np.sum(np.abs(shap_values), axis=0)) feature_order = feature_order[-min(max_display, len(feature_order)):] else: feature_order = np.flip(np.arange(min(max_display, num_features)), 0) row_height = 0.4 if auto_size_plot: pl.gcf().set_size_inches(8, len(feature_order) * row_height + 1.5) pl.axvline(x=0, color="#999999", zorder=-1) if plot_type == "dot": for pos, i in enumerate(feature_order): pl.axhline(y=pos, color="#cccccc", lw=0.5, dashes=(1, 5), zorder=-1) shaps = shap_values[:, i] values = None if features is None else features[:, i] inds = np.arange(len(shaps)) np.random.shuffle(inds) if values is not None: values = values[inds] shaps = shaps[inds] colored_feature = True try: values = np.array(values, dtype=np.float64) # make sure this can be numeric except: colored_feature = False N = len(shaps) # hspacing = (np.max(shaps) - np.min(shaps)) / 200 # curr_bin = [] nbins = 100 quant = np.round(nbins * (shaps - np.min(shaps)) / (np.max(shaps) - np.min(shaps) + 1e-8)) inds = np.argsort(quant + np.random.randn(N) * 1e-6) layer = 0 last_bin = -1 ys = np.zeros(N) for ind in inds: if quant[ind] != last_bin: layer = 0 ys[ind] = np.ceil(layer / 2) * ((layer % 2) * 2 - 1) layer += 1 last_bin = quant[ind] ys = 0.9 (row_height / np.max(ys + 1)) if features is not None and colored_feature: # trim the color range, but prevent the color range from collapsing vmin = np.nanpercentile(values, 5) vmax = np.nanpercentile(values, 95) if vmin == vmax: vmin = np.nanpercentile(values, 1) vmax = np.nanpercentile(values, 99) if vmin == vmax: vmin = np.min(values) vmax = np.max(values) assert features.shape[0] == len(shaps), "Feature and SHAP matrices must have the same number of rows!" # plot the nan values in the interaction feature as grey nan_mask = np.isnan(values) pl.scatter(shaps[nan_mask], pos + ys[nan_mask], color="#777777", vmin=vmin, vmax=vmax, s=16, alpha=alpha, linewidth=0, zorder=3, rasterized=len(shaps) > 500) # plot the non-nan values colored by the trimmed feature value cvals = values[np.invert(nan_mask)].astype(np.float64) cvals_imp = cvals.copy() cvals_imp[np.isnan(cvals)] = (vmin + vmax) / 2.0 cvals[cvals_imp > vmax] = vmax cvals[cvals_imp < vmin] = vmin pl.scatter(shaps[np.invert(nan_mask)], pos + ys[np.invert(nan_mask)], cmap=colors.red_blue, vmin=vmin, vmax=vmax, s=16, c=cvals, alpha=alpha, linewidth=0, zorder=3, rasterized=len(shaps) > 500) else: pl.scatter(shaps, pos + ys, s=16, alpha=alpha, linewidth=0, zorder=3, color=color if colored_feature else "#777777", rasterized=len(shaps) > 500) elif plot_type == "violin": for pos, i in enumerate(feature_order): pl.axhline(y=pos, color="#cccccc", lw=0.5, dashes=(1, 5), zorder=-1) if features is not None: global_low = np.nanpercentile(shap_values[:, :len(feature_names)].flatten(), 1) global_high = np.nanpercentile(shap_values[:, :len(feature_names)].flatten(), 99) for pos, i in enumerate(feature_order): shaps = shap_values[:, i] shap_min, shap_max = np.min(shaps), np.max(shaps) rng = shap_max - shap_min xs = np.linspace(np.min(shaps) - rng * 0.2, np.max(shaps) + rng * 0.2, 100) if np.std(shaps) < (global_high - global_low) / 100: ds = gaussian_kde(shaps + np.random.randn(len(shaps)) * (global_high - global_low) / 100)(xs) else: ds = gaussian_kde(shaps)(xs) ds /= np.max(ds) * 3 values = features[:, i] window_size = max(10, len(values) // 20) smooth_values = np.zeros(len(xs) - 1) sort_inds = np.argsort(shaps) trailing_pos = 0 leading_pos = 0 running_sum = 0 back_fill = 0 for j in range(len(xs) - 1): while leading_pos < len(shaps) and xs[j] >= shaps[sort_inds[leading_pos]]: running_sum += values[sort_inds[leading_pos]] leading_pos += 1 if leading_pos - trailing_pos > 20: running_sum -= values[sort_inds[trailing_pos]] trailing_pos += 1 if leading_pos - trailing_pos > 0: smooth_values[j] = running_sum / (leading_pos - trailing_pos) for k in range(back_fill): smooth_values[j - k - 1] = smooth_values[j] else: back_fill += 1 vmin = np.nanpercentile(values, 5) vmax = np.nanpercentile(values, 95) if vmin == vmax: vmin = np.nanpercentile(values, 1) vmax = np.nanpercentile(values, 99) if vmin == vmax: vmin = np.min(values) vmax = np.max(values) pl.scatter(shaps, np.ones(shap_values.shape[0]) * pos, s=9, cmap=colors.red_blue, vmin=vmin, vmax=vmax, c=values, alpha=alpha, linewidth=0, zorder=1) # smooth_values -= nxp.nanpercentile(smooth_values, 5) # smooth_values /= np.nanpercentile(smooth_values, 95) smooth_values -= vmin if vmax - vmin > 0: smooth_values /= vmax - vmin for i in range(len(xs) - 1): if ds[i] > 0.05 or ds[i + 1] > 0.05: pl.fill_between([xs[i], xs[i + 1]], [pos + ds[i], pos + ds[i + 1]], [pos - ds[i], pos - ds[i + 1]], color=colors.red_blue(smooth_values[i]), zorder=2) else: parts = pl.violinplot(shap_values[:, feature_order], range(len(feature_order)), points=200, vert=False, widths=0.7, showmeans=False, showextrema=False, showmedians=False) for pc in parts['bodies']: pc.set_facecolor(color) pc.set_edgecolor('none') pc.set_alpha(alpha) elif plot_type == "layered_violin": # courtesy of @kodonnell num_x_points = 200 bins = np.linspace(0, features.shape[0], layered_violin_max_num_bins + 1).round(0).astype( 'int') # the indices of the feature data corresponding to each bin shap_min, shap_max = np.min(shap_values), np.max(shap_values) x_points = np.linspace(shap_min, shap_max, num_x_points) # loop through each feature and plot: for pos, ind in enumerate(feature_order): # decide how to handle: if #unique < layered_violin_max_num_bins then split by unique value, otherwise use bins/percentiles. # to keep simpler code, in the case of uniques, we just adjust the bins to align with the unique counts. feature = features[:, ind] unique, counts = np.unique(feature, return_counts=True) if unique.shape[0] <= layered_violin_max_num_bins: order = np.argsort(unique) thesebins = np.cumsum(counts[order]) thesebins = np.insert(thesebins, 0, 0) else: thesebins = bins nbins = thesebins.shape[0] - 1 # order the feature data so we can apply percentiling order = np.argsort(feature) # x axis is located at y0 = pos, with pos being there for offset y0 = np.ones(num_x_points) * pos # calculate kdes: ys = np.zeros((nbins, num_x_points)) for i in range(nbins): # get shap values in this bin: shaps = shap_values[order[thesebins[i]:thesebins[i + 1]], ind] # if there's only one element, then we can't if shaps.shape[0] == 1: warnings.warn( "not enough data in bin #%d for feature %s, so it'll be ignored. Try increasing the number of records to plot." % (i, feature_names[ind])) # to ignore it, just set it to the previous y-values (so the area between them will be zero). Not ys is already 0, so there's # nothing to do if i == 0 if i > 0: ys[i, :] = ys[i - 1, :] continue # save kde of them: note that we add a tiny bit of gaussian noise to avoid singular matrix errors ys[i, :] = gaussian_kde(shaps + np.random.normal(loc=0, scale=0.001, size=shaps.shape[0]))(x_points) # scale it up so that the 'size' of each y represents the size of the bin. For continuous data this will # do nothing, but when we've gone with the unqique option, this will matter - e.g. if 99% are male and 1% # female, we want the 1% to appear a lot smaller. size = thesebins[i + 1] - thesebins[i] bin_size_if_even = features.shape[0] / nbins relative_bin_size = size / bin_size_if_even ys[i, :] = relative_bin_size # now plot 'em. We don't plot the individual strips, as this can leave whitespace between them. # instead, we plot the full kde, then remove outer strip and plot over it, etc., to ensure no # whitespace ys = np.cumsum(ys, axis=0) width = 0.8 scale = ys.max() 2 / width # 2 is here as we plot both sides of x axis for i in range(nbins - 1, -1, -1): y = ys[i, :] / scale c = pl.get_cmap(color)(i / ( nbins - 1)) if color in pl.cm.datad else color # if color is a cmap, use it, otherwise use a color pl.fill_between(x_points, pos - y, pos + y, facecolor=c) pl.xlim(shap_min, shap_max) elif not multi_class and plot_type == "bar": feature_inds = feature_order[:max_display] y_pos = np.arange(len(feature_inds)) global_shap_values = np.abs(shap_values).mean(0) pl.barh(y_pos, global_shap_values[feature_inds], 0.7, align='center', color=color) pl.yticks(y_pos, fontsize=13) pl.gca().set_yticklabels([feature_names[i] for i in feature_inds]) elif multi_class and plot_type == "bar": if class_names is None: class_names = ["Class "+str(i) for i in range(len(shap_values))] feature_inds = feature_order[:max_display] y_pos = np.arange(len(feature_inds)) left_pos = np.zeros(len(feature_inds)) class_inds = np.argsort([-np.abs(shap_values[i]).mean() for i in range(len(shap_values))]) for i,ind in enumerate(class_inds): global_shap_values = np.abs(shap_values[ind]).mean(0) pl.barh( y_pos, global_shap_values[feature_inds], 0.7, left=left_pos, align='center', color=color(i), label=class_names[ind] ) left_pos += global_shap_values[feature_inds] pl.yticks(y_pos, fontsize=13) pl.gca().set_yticklabels([feature_names[i] for i in feature_inds]) pl.legend(frameon=False, fontsize=12) # draw the color bar if color_bar and features is not None and plot_type != "bar" and \ (plot_type != "layered_violin" or color in pl.cm.datad): import matplotlib.cm as cm m = cm.ScalarMappable(cmap=colors.red_blue if plot_type != "layered_violin" else pl.get_cmap(color)) m.set_array([0, 1]) cb = pl.colorbar(m, ticks=[0, 1], aspect=1000) cb.set_ticklabels([labels['FEATURE_VALUE_LOW'], labels['FEATURE_VALUE_HIGH']]) cb.set_label(labels['FEATURE_VALUE'], size=12, labelpad=0) cb.ax.tick_params(labelsize=11, length=0) cb.set_alpha(1) cb.outline.set_visible(False) bbox = cb.ax.get_window_extent().transformed(pl.gcf().dpi_scale_trans.inverted()) cb.ax.set_aspect((bbox.height - 0.9) * 20) # cb.draw_all() pl.gca().xaxis.set_ticks_position('bottom') pl.gca().yaxis.set_ticks_position('none') pl.gca().spines['right'].set_visible(False) pl.gca().spines['top'].set_visible(False) pl.gca().spines['left'].set_visible(False) pl.gca().tick_params(color=axis_color, labelcolor=axis_color) pl.yticks(range(len(feature_order)), [feature_names[i] for i in feature_order], fontsize=13) if plot_type != "bar": pl.gca().tick_params('y', length=20, width=0.5, which='major') pl.gca().tick_params('x', labelsize=11) pl.ylim(-1, len(feature_order)) if plot_type == "bar": pl.xlabel(labels['GLOBAL_VALUE'], fontsize=13) else: pl.xlabel(labels['VALUE'], fontsize=13) if show: pl.show()	python	def summary_plot(shap_values, features=None, feature_names=None, max_display=None, plot_type="dot", color=None, axis_color="#333333", title=None, alpha=1, show=True, sort=True, color_bar=True, auto_size_plot=True, layered_violin_max_num_bins=20, class_names=None): """Create a SHAP summary plot, colored by feature values when they are provided. Parameters ---------- shap_values : numpy.array Matrix of SHAP values (# samples x # features) features : numpy.array or pandas.DataFrame or list Matrix of feature values (# samples x # features) or a feature_names list as shorthand feature_names : list Names of the features (length # features) max_display : int How many top features to include in the plot (default is 20, or 7 for interaction plots) plot_type : "dot" (default) or "violin" What type of summary plot to produce """ multi_class = False if isinstance(shap_values, list): multi_class = True plot_type = "bar" # only type supported for now else: assert len(shap_values.shape) != 1, "Summary plots need a matrix of shap_values, not a vector." # default color: if color is None: if plot_type == 'layered_violin': color = "coolwarm" elif multi_class: color = lambda i: colors.red_blue_circle(i/len(shap_values)) else: color = colors.blue_rgb # convert from a DataFrame or other types if str(type(features)) == "<class 'pandas.core.frame.DataFrame'>": if feature_names is None: feature_names = features.columns features = features.values elif isinstance(features, list): if feature_names is None: feature_names = features features = None elif (features is not None) and len(features.shape) == 1 and feature_names is None: feature_names = features features = None num_features = (shap_values[0].shape[1] if multi_class else shap_values.shape[1]) if feature_names is None: feature_names = np.array([labels['FEATURE'] % str(i) for i in range(num_features)]) # plotting SHAP interaction values if not multi_class and len(shap_values.shape) == 3: if max_display is None: max_display = 7 else: max_display = min(len(feature_names), max_display) sort_inds = np.argsort(-np.abs(shap_values.sum(1)).sum(0)) # get plotting limits delta = 1.0 / (shap_values.shape[1] ** 2) slow = np.nanpercentile(shap_values, delta) shigh = np.nanpercentile(shap_values, 100 - delta) v = max(abs(slow), abs(shigh)) slow = -v shigh = v pl.figure(figsize=(1.5 * max_display + 1, 0.8 * max_display + 1)) pl.subplot(1, max_display, 1) proj_shap_values = shap_values[:, sort_inds[0], sort_inds] proj_shap_values[:, 1:] = 2 # because off diag effects are split in half summary_plot( proj_shap_values, features[:, sort_inds] if features is not None else None, feature_names=feature_names[sort_inds], sort=False, show=False, color_bar=False, auto_size_plot=False, max_display=max_display ) pl.xlim((slow, shigh)) pl.xlabel("") title_length_limit = 11 pl.title(shorten_text(feature_names[sort_inds[0]], title_length_limit)) for i in range(1, min(len(sort_inds), max_display)): ind = sort_inds[i] pl.subplot(1, max_display, i + 1) proj_shap_values = shap_values[:, ind, sort_inds] proj_shap_values = 2 proj_shap_values[:, i] /= 2 # because only off diag effects are split in half summary_plot( proj_shap_values, features[:, sort_inds] if features is not None else None, sort=False, feature_names=["" for i in range(len(feature_names))], show=False, color_bar=False, auto_size_plot=False, max_display=max_display ) pl.xlim((slow, shigh)) pl.xlabel("") if i == min(len(sort_inds), max_display) // 2: pl.xlabel(labels['INTERACTION_VALUE']) pl.title(shorten_text(feature_names[ind], title_length_limit)) pl.tight_layout(pad=0, w_pad=0, h_pad=0.0) pl.subplots_adjust(hspace=0, wspace=0.1) if show: pl.show() return if max_display is None: max_display = 20 if sort: # order features by the sum of their effect magnitudes if multi_class: feature_order = np.argsort(np.sum(np.mean(np.abs(shap_values), axis=0), axis=0)) else: feature_order = np.argsort(np.sum(np.abs(shap_values), axis=0)) feature_order = feature_order[-min(max_display, len(feature_order)):] else: feature_order = np.flip(np.arange(min(max_display, num_features)), 0) row_height = 0.4 if auto_size_plot: pl.gcf().set_size_inches(8, len(feature_order) * row_height + 1.5) pl.axvline(x=0, color="#999999", zorder=-1) if plot_type == "dot": for pos, i in enumerate(feature_order): pl.axhline(y=pos, color="#cccccc", lw=0.5, dashes=(1, 5), zorder=-1) shaps = shap_values[:, i] values = None if features is None else features[:, i] inds = np.arange(len(shaps)) np.random.shuffle(inds) if values is not None: values = values[inds] shaps = shaps[inds] colored_feature = True try: values = np.array(values, dtype=np.float64) # make sure this can be numeric except: colored_feature = False N = len(shaps) # hspacing = (np.max(shaps) - np.min(shaps)) / 200 # curr_bin = [] nbins = 100 quant = np.round(nbins * (shaps - np.min(shaps)) / (np.max(shaps) - np.min(shaps) + 1e-8)) inds = np.argsort(quant + np.random.randn(N) * 1e-6) layer = 0 last_bin = -1 ys = np.zeros(N) for ind in inds: if quant[ind] != last_bin: layer = 0 ys[ind] = np.ceil(layer / 2) * ((layer % 2) * 2 - 1) layer += 1 last_bin = quant[ind] ys = 0.9 (row_height / np.max(ys + 1)) if features is not None and colored_feature: # trim the color range, but prevent the color range from collapsing vmin = np.nanpercentile(values, 5) vmax = np.nanpercentile(values, 95) if vmin == vmax: vmin = np.nanpercentile(values, 1) vmax = np.nanpercentile(values, 99) if vmin == vmax: vmin = np.min(values) vmax = np.max(values) assert features.shape[0] == len(shaps), "Feature and SHAP matrices must have the same number of rows!" # plot the nan values in the interaction feature as grey nan_mask = np.isnan(values) pl.scatter(shaps[nan_mask], pos + ys[nan_mask], color="#777777", vmin=vmin, vmax=vmax, s=16, alpha=alpha, linewidth=0, zorder=3, rasterized=len(shaps) > 500) # plot the non-nan values colored by the trimmed feature value cvals = values[np.invert(nan_mask)].astype(np.float64) cvals_imp = cvals.copy() cvals_imp[np.isnan(cvals)] = (vmin + vmax) / 2.0 cvals[cvals_imp > vmax] = vmax cvals[cvals_imp < vmin] = vmin pl.scatter(shaps[np.invert(nan_mask)], pos + ys[np.invert(nan_mask)], cmap=colors.red_blue, vmin=vmin, vmax=vmax, s=16, c=cvals, alpha=alpha, linewidth=0, zorder=3, rasterized=len(shaps) > 500) else: pl.scatter(shaps, pos + ys, s=16, alpha=alpha, linewidth=0, zorder=3, color=color if colored_feature else "#777777", rasterized=len(shaps) > 500) elif plot_type == "violin": for pos, i in enumerate(feature_order): pl.axhline(y=pos, color="#cccccc", lw=0.5, dashes=(1, 5), zorder=-1) if features is not None: global_low = np.nanpercentile(shap_values[:, :len(feature_names)].flatten(), 1) global_high = np.nanpercentile(shap_values[:, :len(feature_names)].flatten(), 99) for pos, i in enumerate(feature_order): shaps = shap_values[:, i] shap_min, shap_max = np.min(shaps), np.max(shaps) rng = shap_max - shap_min xs = np.linspace(np.min(shaps) - rng * 0.2, np.max(shaps) + rng * 0.2, 100) if np.std(shaps) < (global_high - global_low) / 100: ds = gaussian_kde(shaps + np.random.randn(len(shaps)) * (global_high - global_low) / 100)(xs) else: ds = gaussian_kde(shaps)(xs) ds /= np.max(ds) * 3 values = features[:, i] window_size = max(10, len(values) // 20) smooth_values = np.zeros(len(xs) - 1) sort_inds = np.argsort(shaps) trailing_pos = 0 leading_pos = 0 running_sum = 0 back_fill = 0 for j in range(len(xs) - 1): while leading_pos < len(shaps) and xs[j] >= shaps[sort_inds[leading_pos]]: running_sum += values[sort_inds[leading_pos]] leading_pos += 1 if leading_pos - trailing_pos > 20: running_sum -= values[sort_inds[trailing_pos]] trailing_pos += 1 if leading_pos - trailing_pos > 0: smooth_values[j] = running_sum / (leading_pos - trailing_pos) for k in range(back_fill): smooth_values[j - k - 1] = smooth_values[j] else: back_fill += 1 vmin = np.nanpercentile(values, 5) vmax = np.nanpercentile(values, 95) if vmin == vmax: vmin = np.nanpercentile(values, 1) vmax = np.nanpercentile(values, 99) if vmin == vmax: vmin = np.min(values) vmax = np.max(values) pl.scatter(shaps, np.ones(shap_values.shape[0]) * pos, s=9, cmap=colors.red_blue, vmin=vmin, vmax=vmax, c=values, alpha=alpha, linewidth=0, zorder=1) # smooth_values -= nxp.nanpercentile(smooth_values, 5) # smooth_values /= np.nanpercentile(smooth_values, 95) smooth_values -= vmin if vmax - vmin > 0: smooth_values /= vmax - vmin for i in range(len(xs) - 1): if ds[i] > 0.05 or ds[i + 1] > 0.05: pl.fill_between([xs[i], xs[i + 1]], [pos + ds[i], pos + ds[i + 1]], [pos - ds[i], pos - ds[i + 1]], color=colors.red_blue(smooth_values[i]), zorder=2) else: parts = pl.violinplot(shap_values[:, feature_order], range(len(feature_order)), points=200, vert=False, widths=0.7, showmeans=False, showextrema=False, showmedians=False) for pc in parts['bodies']: pc.set_facecolor(color) pc.set_edgecolor('none') pc.set_alpha(alpha) elif plot_type == "layered_violin": # courtesy of @kodonnell num_x_points = 200 bins = np.linspace(0, features.shape[0], layered_violin_max_num_bins + 1).round(0).astype( 'int') # the indices of the feature data corresponding to each bin shap_min, shap_max = np.min(shap_values), np.max(shap_values) x_points = np.linspace(shap_min, shap_max, num_x_points) # loop through each feature and plot: for pos, ind in enumerate(feature_order): # decide how to handle: if #unique < layered_violin_max_num_bins then split by unique value, otherwise use bins/percentiles. # to keep simpler code, in the case of uniques, we just adjust the bins to align with the unique counts. feature = features[:, ind] unique, counts = np.unique(feature, return_counts=True) if unique.shape[0] <= layered_violin_max_num_bins: order = np.argsort(unique) thesebins = np.cumsum(counts[order]) thesebins = np.insert(thesebins, 0, 0) else: thesebins = bins nbins = thesebins.shape[0] - 1 # order the feature data so we can apply percentiling order = np.argsort(feature) # x axis is located at y0 = pos, with pos being there for offset y0 = np.ones(num_x_points) * pos # calculate kdes: ys = np.zeros((nbins, num_x_points)) for i in range(nbins): # get shap values in this bin: shaps = shap_values[order[thesebins[i]:thesebins[i + 1]], ind] # if there's only one element, then we can't if shaps.shape[0] == 1: warnings.warn( "not enough data in bin #%d for feature %s, so it'll be ignored. Try increasing the number of records to plot." % (i, feature_names[ind])) # to ignore it, just set it to the previous y-values (so the area between them will be zero). Not ys is already 0, so there's # nothing to do if i == 0 if i > 0: ys[i, :] = ys[i - 1, :] continue # save kde of them: note that we add a tiny bit of gaussian noise to avoid singular matrix errors ys[i, :] = gaussian_kde(shaps + np.random.normal(loc=0, scale=0.001, size=shaps.shape[0]))(x_points) # scale it up so that the 'size' of each y represents the size of the bin. For continuous data this will # do nothing, but when we've gone with the unqique option, this will matter - e.g. if 99% are male and 1% # female, we want the 1% to appear a lot smaller. size = thesebins[i + 1] - thesebins[i] bin_size_if_even = features.shape[0] / nbins relative_bin_size = size / bin_size_if_even ys[i, :] = relative_bin_size # now plot 'em. We don't plot the individual strips, as this can leave whitespace between them. # instead, we plot the full kde, then remove outer strip and plot over it, etc., to ensure no # whitespace ys = np.cumsum(ys, axis=0) width = 0.8 scale = ys.max() 2 / width # 2 is here as we plot both sides of x axis for i in range(nbins - 1, -1, -1): y = ys[i, :] / scale c = pl.get_cmap(color)(i / ( nbins - 1)) if color in pl.cm.datad else color # if color is a cmap, use it, otherwise use a color pl.fill_between(x_points, pos - y, pos + y, facecolor=c) pl.xlim(shap_min, shap_max) elif not multi_class and plot_type == "bar": feature_inds = feature_order[:max_display] y_pos = np.arange(len(feature_inds)) global_shap_values = np.abs(shap_values).mean(0) pl.barh(y_pos, global_shap_values[feature_inds], 0.7, align='center', color=color) pl.yticks(y_pos, fontsize=13) pl.gca().set_yticklabels([feature_names[i] for i in feature_inds]) elif multi_class and plot_type == "bar": if class_names is None: class_names = ["Class "+str(i) for i in range(len(shap_values))] feature_inds = feature_order[:max_display] y_pos = np.arange(len(feature_inds)) left_pos = np.zeros(len(feature_inds)) class_inds = np.argsort([-np.abs(shap_values[i]).mean() for i in range(len(shap_values))]) for i,ind in enumerate(class_inds): global_shap_values = np.abs(shap_values[ind]).mean(0) pl.barh( y_pos, global_shap_values[feature_inds], 0.7, left=left_pos, align='center', color=color(i), label=class_names[ind] ) left_pos += global_shap_values[feature_inds] pl.yticks(y_pos, fontsize=13) pl.gca().set_yticklabels([feature_names[i] for i in feature_inds]) pl.legend(frameon=False, fontsize=12) # draw the color bar if color_bar and features is not None and plot_type != "bar" and \ (plot_type != "layered_violin" or color in pl.cm.datad): import matplotlib.cm as cm m = cm.ScalarMappable(cmap=colors.red_blue if plot_type != "layered_violin" else pl.get_cmap(color)) m.set_array([0, 1]) cb = pl.colorbar(m, ticks=[0, 1], aspect=1000) cb.set_ticklabels([labels['FEATURE_VALUE_LOW'], labels['FEATURE_VALUE_HIGH']]) cb.set_label(labels['FEATURE_VALUE'], size=12, labelpad=0) cb.ax.tick_params(labelsize=11, length=0) cb.set_alpha(1) cb.outline.set_visible(False) bbox = cb.ax.get_window_extent().transformed(pl.gcf().dpi_scale_trans.inverted()) cb.ax.set_aspect((bbox.height - 0.9) * 20) # cb.draw_all() pl.gca().xaxis.set_ticks_position('bottom') pl.gca().yaxis.set_ticks_position('none') pl.gca().spines['right'].set_visible(False) pl.gca().spines['top'].set_visible(False) pl.gca().spines['left'].set_visible(False) pl.gca().tick_params(color=axis_color, labelcolor=axis_color) pl.yticks(range(len(feature_order)), [feature_names[i] for i in feature_order], fontsize=13) if plot_type != "bar": pl.gca().tick_params('y', length=20, width=0.5, which='major') pl.gca().tick_params('x', labelsize=11) pl.ylim(-1, len(feature_order)) if plot_type == "bar": pl.xlabel(labels['GLOBAL_VALUE'], fontsize=13) else: pl.xlabel(labels['VALUE'], 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"(", "values", ",", "95", ")", "if", "vmin", "==", "vmax", ":", "vmin", "=", "np", ".", "nanpercentile", "(", "values", ",", "1", ")", "vmax", "=", "np", ".", "nanpercentile", "(", "values", ",", "99", ")", "if", "vmin", "==", "vmax", ":", "vmin", "=", "np", ".", "min", "(", "values", ")", "vmax", "=", "np", ".", "max", "(", "values", ")", "assert", "features", ".", "shape", "[", "0", "]", "==", "len", "(", "shaps", ")", ",", "\"Feature and SHAP matrices must have the same number of rows!\"", "# plot the nan values in the interaction feature as grey", "nan_mask", "=", "np", ".", "isnan", "(", "values", ")", "pl", ".", "scatter", "(", "shaps", "[", "nan_mask", "]", ",", "pos", "+", "ys", "[", "nan_mask", "]", ",", "color", "=", "\"#777777\"", ",", "vmin", "=", "vmin", ",", "vmax", "=", "vmax", ",", "s", "=", "16", ",", "alpha", "=", "alpha", ",", "linewidth", "=", "0", ",", "zorder", "=", "3", ",", "rasterized", "=", "len", "(", "shaps", ")", ">", "500", ")", "# plot the non-nan values colored by the trimmed feature value", "cvals", "=", "values", "[", "np", ".", "invert", "(", "nan_mask", ")", "]", ".", "astype", "(", "np", ".", "float64", ")", "cvals_imp", "=", "cvals", ".", "copy", "(", ")", "cvals_imp", "[", "np", ".", "isnan", "(", "cvals", ")", "]", "=", "(", "vmin", "+", "vmax", ")", "/", "2.0", "cvals", "[", "cvals_imp", ">", "vmax", "]", "=", "vmax", "cvals", "[", "cvals_imp", "<", "vmin", "]", "=", "vmin", "pl", ".", "scatter", "(", "shaps", "[", "np", ".", "invert", "(", "nan_mask", ")", "]", ",", "pos", "+", "ys", "[", "np", ".", "invert", "(", "nan_mask", ")", "]", ",", "cmap", "=", "colors", ".", "red_blue", ",", "vmin", "=", "vmin", ",", "vmax", "=", "vmax", ",", "s", "=", "16", ",", "c", "=", "cvals", ",", "alpha", "=", "alpha", ",", "linewidth", "=", "0", ",", "zorder", "=", "3", ",", "rasterized", "=", "len", "(", "shaps", ")", ">", "500", ")", "else", ":", "pl", ".", "scatter", "(", "shaps", ",", "pos", "+", "ys", ",", "s", "=", "16", ",", "alpha", "=", "alpha", ",", "linewidth", "=", "0", ",", "zorder", "=", "3", ",", "color", "=", "color", "if", "colored_feature", "else", "\"#777777\"", ",", "rasterized", "=", "len", "(", "shaps", ")", ">", "500", ")", "elif", "plot_type", "==", "\"violin\"", ":", "for", "pos", ",", "i", "in", "enumerate", "(", "feature_order", ")", ":", "pl", ".", "axhline", "(", "y", "=", "pos", ",", "color", "=", "\"#cccccc\"", ",", "lw", "=", "0.5", ",", "dashes", "=", "(", "1", ",", "5", ")", ",", "zorder", "=", "-", "1", ")", "if", "features", "is", "not", "None", ":", "global_low", "=", "np", ".", "nanpercentile", "(", "shap_values", "[", ":", ",", ":", "len", "(", "feature_names", ")", "]", ".", "flatten", "(", ")", ",", "1", ")", "global_high", "=", "np", ".", "nanpercentile", "(", "shap_values", "[", ":", ",", ":", "len", "(", "feature_names", ")", "]", ".", "flatten", "(", ")", ",", "99", ")", "for", "pos", ",", "i", "in", "enumerate", "(", "feature_order", ")", ":", "shaps", "=", "shap_values", "[", ":", ",", "i", "]", "shap_min", ",", "shap_max", "=", "np", ".", "min", "(", "shaps", ")", ",", "np", ".", "max", "(", "shaps", ")", "rng", "=", "shap_max", "-", "shap_min", "xs", "=", "np", ".", "linspace", "(", "np", ".", "min", "(", "shaps", ")", "-", "rng", "", "0.2", ",", "np", ".", "max", "(", "shaps", ")", "+", "rng", "", "0.2", ",", "100", ")", "if", "np", ".", "std", "(", "shaps", ")", "<", "(", "global_high", "-", "global_low", ")", "/", "100", ":", "ds", "=", "gaussian_kde", "(", "shaps", "+", "np", ".", "random", ".", "randn", "(", "len", "(", "shaps", ")", ")", "", "(", "global_high", "-", "global_low", ")", "/", "100", ")", "(", "xs", ")", "else", ":", "ds", "=", "gaussian_kde", "(", "shaps", ")", "(", "xs", ")", "ds", "/=", "np", ".", "max", "(", "ds", ")", "", "3", "values", "=", "features", "[", ":", ",", "i", "]", "window_size", "=", "max", "(", "10", ",", "len", "(", "values", ")", "//", "20", ")", "smooth_values", "=", "np", ".", "zeros", "(", "len", "(", "xs", ")", "-", "1", ")", "sort_inds", "=", "np", ".", "argsort", "(", "shaps", ")", "trailing_pos", "=", "0", "leading_pos", "=", "0", "running_sum", "=", "0", "back_fill", "=", "0", "for", "j", "in", "range", "(", "len", "(", "xs", ")", "-", "1", ")", ":", "while", "leading_pos", "<", "len", "(", "shaps", ")", "and", "xs", "[", "j", "]", ">=", "shaps", "[", "sort_inds", "[", "leading_pos", "]", "]", ":", "running_sum", "+=", "values", "[", "sort_inds", "[", "leading_pos", "]", "]", "leading_pos", "+=", "1", "if", "leading_pos", "-", "trailing_pos", ">", "20", ":", "running_sum", "-=", "values", "[", "sort_inds", "[", "trailing_pos", "]", "]", "trailing_pos", "+=", "1", "if", "leading_pos", "-", "trailing_pos", ">", "0", ":", "smooth_values", "[", "j", "]", "=", "running_sum", "/", "(", "leading_pos", "-", "trailing_pos", ")", "for", "k", "in", "range", "(", "back_fill", ")", ":", "smooth_values", "[", "j", "-", "k", "-", "1", "]", "=", "smooth_values", "[", "j", "]", "else", ":", "back_fill", "+=", "1", "vmin", "=", "np", ".", "nanpercentile", "(", "values", ",", "5", ")", "vmax", "=", "np", ".", "nanpercentile", "(", "values", ",", "95", ")", "if", "vmin", "==", "vmax", ":", "vmin", "=", "np", ".", "nanpercentile", "(", "values", ",", "1", ")", "vmax", "=", "np", ".", "nanpercentile", "(", "values", ",", "99", ")", "if", "vmin", "==", "vmax", ":", "vmin", "=", "np", ".", "min", "(", "values", ")", "vmax", "=", "np", ".", "max", "(", "values", ")", "pl", ".", "scatter", "(", "shaps", ",", "np", ".", "ones", "(", "shap_values", ".", "shape", "[", "0", "]", ")", "", "pos", ",", "s", "=", "9", ",", "cmap", "=", "colors", ".", "red_blue", ",", "vmin", "=", "vmin", ",", "vmax", "=", "vmax", ",", "c", "=", "values", ",", "alpha", "=", "alpha", ",", "linewidth", "=", "0", ",", "zorder", "=", "1", ")", "# smooth_values -= nxp.nanpercentile(smooth_values, 5)", "# smooth_values /= np.nanpercentile(smooth_values, 95)", "smooth_values", "-=", "vmin", "if", "vmax", "-", "vmin", ">", "0", ":", "smooth_values", "/=", "vmax", "-", "vmin", "for", "i", "in", "range", "(", "len", "(", "xs", ")", "-", "1", ")", ":", "if", "ds", "[", "i", "]", ">", "0.05", "or", "ds", "[", "i", "+", "1", "]", ">", "0.05", ":", "pl", ".", "fill_between", "(", "[", "xs", "[", "i", "]", ",", "xs", "[", "i", "+", "1", "]", "]", ",", "[", "pos", "+", "ds", "[", "i", "]", ",", "pos", "+", "ds", "[", "i", "+", "1", "]", "]", ",", "[", "pos", "-", "ds", "[", "i", "]", ",", "pos", "-", "ds", "[", "i", "+", "1", "]", "]", ",", "color", "=", "colors", ".", "red_blue", "(", "smooth_values", "[", "i", "]", ")", ",", "zorder", "=", "2", ")", "else", ":", "parts", "=", "pl", ".", "violinplot", "(", "shap_values", "[", ":", ",", "feature_order", "]", ",", "range", "(", "len", "(", "feature_order", ")", ")", ",", "points", "=", "200", ",", "vert", "=", "False", ",", "widths", "=", "0.7", ",", "showmeans", "=", "False", ",", "showextrema", "=", "False", ",", "showmedians", "=", "False", ")", "for", "pc", "in", "parts", "[", "'bodies'", "]", ":", "pc", ".", "set_facecolor", "(", "color", ")", "pc", ".", "set_edgecolor", "(", "'none'", ")", "pc", ".", "set_alpha", "(", "alpha", ")", "elif", "plot_type", "==", "\"layered_violin\"", ":", "# courtesy of @kodonnell", "num_x_points", "=", "200", "bins", "=", "np", ".", "linspace", "(", "0", ",", "features", ".", "shape", "[", "0", "]", ",", "layered_violin_max_num_bins", "+", "1", ")", ".", "round", "(", "0", ")", ".", "astype", "(", "'int'", ")", "# the indices of the feature data corresponding to each bin", "shap_min", ",", "shap_max", "=", "np", ".", "min", "(", "shap_values", ")", ",", "np", ".", "max", "(", "shap_values", ")", "x_points", "=", "np", ".", "linspace", "(", "shap_min", ",", "shap_max", ",", "num_x_points", ")", "# loop through each feature and plot:", "for", "pos", ",", "ind", "in", "enumerate", "(", "feature_order", ")", ":", "# decide how to handle: if #unique < layered_violin_max_num_bins then split by unique value, otherwise use bins/percentiles.", "# to keep simpler code, in the case of uniques, we just adjust the bins to align with the unique counts.", "feature", "=", "features", "[", ":", ",", "ind", "]", "unique", ",", "counts", "=", "np", ".", "unique", "(", "feature", ",", "return_counts", "=", "True", ")", "if", "unique", ".", "shape", "[", "0", "]", "<=", "layered_violin_max_num_bins", ":", "order", "=", "np", ".", "argsort", "(", "unique", ")", "thesebins", "=", "np", ".", "cumsum", "(", "counts", "[", "order", "]", ")", "thesebins", "=", "np", ".", "insert", "(", "thesebins", ",", "0", ",", "0", ")", "else", ":", "thesebins", "=", "bins", "nbins", "=", "thesebins", ".", "shape", "[", "0", "]", "-", "1", "# order the feature data so we can apply percentiling", "order", "=", "np", ".", "argsort", "(", "feature", ")", "# x axis is located at y0 = pos, with pos being there for offset", "y0", "=", "np", ".", "ones", "(", "num_x_points", ")", "", "pos", "# calculate kdes:", "ys", "=", "np", ".", "zeros", "(", "(", "nbins", ",", "num_x_points", ")", ")", "for", "i", "in", "range", "(", "nbins", ")", ":", "# get shap values in this bin:", "shaps", "=", "shap_values", "[", "order", "[", "thesebins", "[", "i", "]", ":", "thesebins", "[", "i", "+", "1", "]", "]", ",", "ind", "]", "# if there's only one element, then we can't", "if", "shaps", ".", "shape", "[", "0", "]", "==", "1", ":", "warnings", ".", "warn", "(", "\"not enough data in bin #%d for feature %s, so it'll be ignored. Try increasing the number of records to plot.\"", "%", "(", "i", ",", "feature_names", "[", "ind", "]", ")", ")", "# to ignore it, just set it to the previous y-values (so the area between them will be zero). Not ys is already 0, so there's", "# nothing to do if i == 0", "if", "i", ">", "0", ":", "ys", "[", "i", ",", ":", "]", "=", "ys", "[", "i", "-", "1", ",", ":", "]", "continue", "# save kde of them: note that we add a tiny bit of gaussian noise to avoid singular matrix errors", "ys", "[", "i", ",", ":", "]", "=", "gaussian_kde", "(", "shaps", "+", "np", ".", "random", ".", "normal", "(", "loc", "=", "0", ",", "scale", "=", "0.001", ",", "size", "=", "shaps", ".", "shape", "[", "0", "]", ")", ")", "(", "x_points", ")", "# scale it up so that the 'size' of each y represents the size of the bin. For continuous data this will", "# do nothing, but when we've gone with the unqique option, this will matter - e.g. if 99% are male and 1%", "# female, we want the 1% to appear a lot smaller.", "size", "=", "thesebins", "[", "i", "+", "1", "]", "-", "thesebins", "[", "i", "]", "bin_size_if_even", "=", "features", ".", "shape", "[", "0", "]", "/", "nbins", "relative_bin_size", "=", "size", "/", "bin_size_if_even", "ys", "[", "i", ",", ":", "]", "=", "relative_bin_size", "# now plot 'em. We don't plot the individual strips, as this can leave whitespace between them.", "# instead, we plot the full kde, then remove outer strip and plot over it, etc., to ensure no", "# whitespace", "ys", "=", "np", ".", "cumsum", "(", "ys", ",", "axis", "=", "0", ")", "width", "=", "0.8", "scale", "=", "ys", ".", "max", "(", ")", "", "2", "/", "width", "# 2 is here as we plot both sides of x axis", "for", "i", "in", "range", "(", "nbins", "-", "1", ",", "-", "1", ",", "-", "1", ")", ":", "y", "=", "ys", "[", "i", ",", ":", "]", "/", "scale", "c", "=", "pl", ".", "get_cmap", "(", "color", ")", "(", "i", "/", "(", "nbins", "-", "1", ")", ")", "if", "color", "in", "pl", ".", "cm", ".", "datad", "else", "color", "# if color is a cmap, use it, otherwise use a color", "pl", ".", "fill_between", "(", "x_points", ",", "pos", "-", "y", ",", "pos", "+", "y", ",", "facecolor", "=", "c", ")", "pl", ".", "xlim", "(", "shap_min", ",", "shap_max", ")", "elif", "not", "multi_class", "and", "plot_type", "==", "\"bar\"", ":", "feature_inds", "=", "feature_order", "[", ":", "max_display", "]", "y_pos", "=", "np", ".", "arange", "(", "len", "(", "feature_inds", ")", ")", "global_shap_values", "=", "np", ".", "abs", "(", "shap_values", ")", ".", "mean", "(", "0", ")", "pl", ".", "barh", "(", "y_pos", ",", "global_shap_values", "[", "feature_inds", "]", ",", "0.7", ",", "align", "=", "'center'", ",", "color", "=", "color", ")", "pl", ".", "yticks", "(", "y_pos", ",", "fontsize", "=", "13", ")", "pl", ".", "gca", "(", ")", ".", "set_yticklabels", "(", "[", "feature_names", "[", "i", "]", "for", "i", "in", "feature_inds", "]", ")", "elif", "multi_class", "and", "plot_type", "==", "\"bar\"", ":", "if", "class_names", "is", "None", ":", "class_names", "=", "[", "\"Class \"", "+", "str", "(", "i", ")", "for", "i", "in", "range", "(", "len", "(", "shap_values", ")", ")", "]", "feature_inds", "=", "feature_order", "[", ":", "max_display", "]", "y_pos", "=", "np", ".", "arange", "(", "len", "(", "feature_inds", ")", ")", "left_pos", "=", "np", ".", "zeros", "(", "len", "(", "feature_inds", ")", ")", "class_inds", "=", "np", ".", "argsort", "(", "[", "-", "np", ".", "abs", "(", "shap_values", "[", "i", "]", ")", ".", "mean", "(", ")", "for", "i", "in", "range", "(", "len", "(", "shap_values", ")", ")", "]", ")", "for", "i", ",", "ind", "in", "enumerate", "(", "class_inds", ")", ":", "global_shap_values", "=", "np", ".", "abs", "(", "shap_values", "[", "ind", "]", ")", ".", "mean", "(", "0", ")", "pl", ".", "barh", "(", "y_pos", ",", "global_shap_values", "[", "feature_inds", "]", ",", "0.7", ",", "left", "=", "left_pos", ",", "align", "=", "'center'", ",", "color", "=", "color", "(", "i", ")", ",", "label", "=", "class_names", "[", "ind", "]", ")", "left_pos", "+=", "global_shap_values", "[", "feature_inds", "]", "pl", ".", "yticks", "(", "y_pos", ",", "fontsize", "=", "13", ")", "pl", ".", "gca", "(", ")", ".", "set_yticklabels", "(", "[", "feature_names", "[", "i", "]", "for", "i", "in", "feature_inds", "]", ")", "pl", ".", "legend", "(", "frameon", "=", "False", ",", "fontsize", "=", "12", ")", "# draw the color bar", "if", "color_bar", "and", "features", "is", "not", "None", "and", "plot_type", "!=", "\"bar\"", "and", "(", "plot_type", "!=", "\"layered_violin\"", "or", "color", "in", "pl", ".", "cm", ".", "datad", ")", ":", "import", "matplotlib", ".", "cm", "as", "cm", "m", "=", "cm", ".", "ScalarMappable", "(", "cmap", "=", "colors", ".", "red_blue", "if", "plot_type", "!=", "\"layered_violin\"", "else", "pl", ".", "get_cmap", "(", "color", ")", ")", "m", ".", "set_array", "(", "[", "0", ",", "1", "]", ")", "cb", "=", "pl", ".", "colorbar", "(", "m", ",", "ticks", "=", "[", "0", ",", "1", "]", ",", "aspect", "=", "1000", ")", "cb", ".", "set_ticklabels", "(", "[", "labels", "[", "'FEATURE_VALUE_LOW'", "]", ",", "labels", "[", "'FEATURE_VALUE_HIGH'", "]", "]", ")", "cb", ".", "set_label", "(", "labels", "[", "'FEATURE_VALUE'", "]", ",", "size", "=", "12", ",", "labelpad", "=", "0", ")", "cb", ".", "ax", ".", "tick_params", "(", "labelsize", "=", "11", ",", "length", "=", "0", ")", "cb", ".", "set_alpha", "(", "1", ")", "cb", ".", "outline", ".", "set_visible", "(", "False", ")", "bbox", "=", "cb", ".", "ax", ".", "get_window_extent", "(", ")", ".", "transformed", "(", "pl", ".", "gcf", "(", ")", ".", "dpi_scale_trans", ".", "inverted", "(", ")", ")", "cb", ".", "ax", ".", "set_aspect", "(", "(", "bbox", ".", "height", "-", "0.9", ")", "*", "20", ")", "# cb.draw_all()", "pl", ".", "gca", "(", ")", ".", "xaxis", ".", "set_ticks_position", "(", "'bottom'", ")", "pl", ".", "gca", "(", ")", ".", "yaxis", ".", "set_ticks_position", "(", "'none'", ")", "pl", ".", "gca", "(", ")", ".", "spines", "[", "'right'", "]", ".", "set_visible", "(", "False", ")", "pl", ".", "gca", "(", ")", ".", "spines", "[", "'top'", "]", ".", "set_visible", "(", "False", ")", "pl", ".", "gca", "(", ")", ".", "spines", "[", "'left'", "]", ".", "set_visible", "(", "False", ")", "pl", ".", "gca", "(", ")", ".", "tick_params", "(", "color", "=", "axis_color", ",", "labelcolor", "=", "axis_color", ")", "pl", ".", "yticks", "(", "range", "(", "len", "(", "feature_order", ")", ")", ",", "[", "feature_names", "[", "i", "]", "for", "i", "in", "feature_order", "]", ",", "fontsize", "=", "13", ")", "if", "plot_type", "!=", "\"bar\"", ":", "pl", ".", "gca", "(", ")", ".", "tick_params", "(", "'y'", ",", "length", "=", "20", ",", "width", "=", "0.5", ",", "which", "=", "'major'", ")", "pl", ".", "gca", "(", ")", ".", "tick_params", "(", "'x'", ",", "labelsize", "=", "11", ")", "pl", ".", "ylim", "(", "-", "1", ",", "len", "(", "feature_order", ")", ")", "if", "plot_type", "==", "\"bar\"", ":", "pl", ".", "xlabel", "(", "labels", "[", "'GLOBAL_VALUE'", "]", ",", "fontsize", "=", "13", ")", "else", ":", "pl", ".", "xlabel", "(", "labels", "[", "'VALUE'", "]", ",", "fontsize", "=", "13", ")", "if", "show", ":", "pl", ".", "show", "(", ")" ]	Create a SHAP summary plot, colored by feature values when they are provided. Parameters ---------- shap_values : numpy.array Matrix of SHAP values (# samples x # features) features : numpy.array or pandas.DataFrame or list Matrix of feature values (# samples x # features) or a feature_names list as shorthand feature_names : list Names of the features (length # features) max_display : int How many top features to include in the plot (default is 20, or 7 for interaction plots) plot_type : "dot" (default) or "violin" What type of summary plot to produce	[ "Create", "a", "SHAP", "summary", "plot", "colored", "by", "feature", "values", "when", "they", "are", "provided", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/plots/summary.py#L18-L409	train	Create a summary plot from a set of SHAP values.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b1010000 + 0o37) + chr(0b10110 + 0o34) + chr(2290 - 2241) + chr(0b11101 + 0o27), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\x36' + chr(0b100111 + 0o13), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\x34' + '\060', 3215 - 3207), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\065' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(1834 - 1786) + '\x6f' + chr(49) + chr(0b101000 + 0o11) + '\x31', 62736 - 62728), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + chr(0b110010) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x31', 37936 - 37928), ehT0Px3KOsy9('\x30' + chr(12229 - 12118) + chr(439 - 388) + chr(0b101001 + 0o15) + chr(0b110100), 31826 - 31818), ehT0Px3KOsy9('\060' + '\x6f' + chr(550 - 499) + '\060' + '\x35', 53486 - 53478), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x37' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + chr(0b110011) + '\065' + chr(280 - 227), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\x34' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + '\x33' + chr(0b110110) + chr(0b101100 + 0o5), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011011 + 0o24) + chr(49) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(359 - 309) + chr(54) + chr(0b110100), 50902 - 50894), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(0b100001 + 0o21) + '\066' + '\x32', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b110001) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(233 - 185) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(0b110010) + chr(1824 - 1776) + chr(0b10101 + 0o33), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(50) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(51), 34616 - 34608), ehT0Px3KOsy9(chr(2194 - 2146) + chr(111) + chr(2462 - 2412) + chr(0b110100) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b11 + 0o63) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(10656 - 10545) + chr(0b100100 + 0o17) + chr(551 - 497) + chr(0b110111), 57467 - 57459), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(0b110001) + chr(51) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(7713 - 7602) + chr(0b1010 + 0o51) + chr(0b110101) + '\x35', 8), ehT0Px3KOsy9(chr(1230 - 1182) + chr(111) + '\x32' + chr(50) + chr(48), 46290 - 46282), ehT0Px3KOsy9('\060' + '\157' + chr(786 - 737) + chr(1833 - 1779), 0o10), ehT0Px3KOsy9('\060' + chr(11718 - 11607) + '\062' + chr(0b110010) + chr(0b10010 + 0o43), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\x31' + '\x35', 54407 - 54399), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + '\063' + chr(0b1001 + 0o56) + chr(2457 - 2403), 18701 - 18693), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2450 - 2399) + '\060' + '\x30', 52333 - 52325), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1000 + 0o147) + chr(0b100010 + 0o17) + '\x35' + chr(288 - 239), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1663 - 1612) + chr(0b100101 + 0o17) + chr(2190 - 2135), 12463 - 12455), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b110111) + chr(0b111 + 0o52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(123 - 72) + chr(739 - 690), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(1869 - 1820) + chr(265 - 214) + chr(49), 64000 - 63992), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b1101111) + chr(0b101010 + 0o14) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b11111 + 0o30) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\x36' + chr(51), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + '\x35' + '\x30', 36744 - 36736)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2'), chr(0b1001111 + 0o25) + chr(0b1010111 + 0o16) + '\x63' + '\157' + chr(0b1000101 + 0o37) + chr(0b1100101))(chr(0b1110101) + chr(5460 - 5344) + chr(3338 - 3236) + chr(0b100 + 0o51) + chr(0b10100 + 0o44)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def XkkHcIrudwxj(B6TQhWekbimD, EEf4r9nUvta_=None, pfS5O3iUpFhz=None, DpD3xhRKMs8d=None, PaqrVfZtB8PT=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xdd\xd4'), chr(0b1100100) + '\x65' + chr(99) + chr(111) + chr(100) + chr(0b1100101))(chr(0b100110 + 0o117) + chr(4546 - 4430) + chr(4763 - 4661) + '\x2d' + chr(56)), pxiSFVqpMRzu=None, fGc_OtAgxgkI=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\x81\x93\xd8z\'"'), chr(100) + '\145' + chr(99) + chr(111) + '\x64' + chr(0b11011 + 0o112))(chr(7871 - 7754) + '\164' + chr(0b1100110) + '\x2d' + chr(2620 - 2564)), IkttdaI0bGlA=None, gDUX9w35YHFE=ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1000011 + 0o54) + chr(1789 - 1740), ord("\x08")), DCpH_3Y2dTvl=ehT0Px3KOsy9('\x30' + '\157' + '\x31', 8), tlxzdTw4q2JZ=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(143 - 94), 8), k7crfyM5fsW8=ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + '\x31', 8), HopmCst5kdsV=ehT0Px3KOsy9('\x30' + chr(111) + '\061', 8), EqbsTAlRFQ_M=ehT0Px3KOsy9(chr(2224 - 2176) + chr(0b1101111) + '\x32' + chr(934 - 882), 8), d0pd0E6a4xQt=None): xc6qzJN8JRFh = ehT0Px3KOsy9('\x30' + chr(12198 - 12087) + '\060', ord("\x08")) if PlSM16l2KDPD(B6TQhWekbimD, YyaZ4tpXu4lf): xc6qzJN8JRFh = ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + '\x31', 8) PaqrVfZtB8PT = xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd3\xd2'), chr(100) + '\145' + '\x63' + '\157' + '\x64' + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(102) + chr(45) + '\x38') else: assert c2A0yzQpDQB3(xafqLlk3kkUe(B6TQhWekbimD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xd3\xd5\xb2/Xv\x98\x91N\x8e\x04'), '\144' + '\145' + '\x63' + chr(0b1000111 + 0o50) + chr(0b1100100) + chr(0b1100101))('\165' + chr(7326 - 7210) + chr(3265 - 3163) + chr(1041 - 996) + chr(2699 - 2643)))) != ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1011 + 0o46), 8), xafqLlk3kkUe(SXOLrMavuUCe(b"\xdf\xc7\xcd\x86(fh\xd4\xb5R\x82\x12\x82\xda\xd7\xa9\xa0\xa0s#\xc8\x93\x83,\x84\xe8.\xfa+\xde\xb3\x01\x86\x89F/R\x97\xc6\xe9\xc1\x8c\xcb'{e\xd4\xa4\x1e\x9b\x03\x92~\xdb\xc0\xe2"), chr(0b1100100) + chr(2571 - 2470) + chr(0b1010111 + 0o14) + chr(0b1101111 + 0o0) + chr(0b100110 + 0o76) + '\145')(chr(117) + '\164' + chr(102) + '\x2d' + '\x38') if pxiSFVqpMRzu is None: if PaqrVfZtB8PT == xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd3\xd9\x8e;qu\xab\xb3W\x82\n\x98d'), '\x64' + chr(9688 - 9587) + chr(99) + chr(4931 - 4820) + chr(0b1100100) + chr(0b111011 + 0o52))(chr(9006 - 8889) + '\164' + chr(102) + chr(45) + '\x38'): pxiSFVqpMRzu = xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xdd\xcf\x87>uc\x99'), chr(0b110100 + 0o60) + chr(6550 - 6449) + chr(0b1100011) + chr(111) + chr(0b1011111 + 0o5) + '\x65')(chr(0b1110101) + chr(12655 - 12539) + chr(2373 - 2271) + '\x2d' + chr(0b101111 + 0o11)) elif xc6qzJN8JRFh: def pxiSFVqpMRzu(WVxHKyX45z_L): return xafqLlk3kkUe(bVKMf_d5jJzc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe\xd7\xc4\xb4+xd\x91\x9a]\x84\x14\x92f\xd1'), chr(100) + chr(0b1001000 + 0o35) + '\143' + '\x6f' + chr(100) + '\x65')('\x75' + '\164' + chr(0b1100110) + chr(1495 - 1450) + '\070'))(WVxHKyX45z_L / c2A0yzQpDQB3(B6TQhWekbimD)) else: pxiSFVqpMRzu = bVKMf_d5jJzc.blue_rgb if M8_cKLkHVB2V(wmQmyeWBmUpv(EEf4r9nUvta_)) == xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\xd1\xcc\x8a:g1\xd3\xb5_\x83\x02\x90y\x9a\xd1\xa3\xb6\xe5<e\xd7\x93\x9a;\xc3\xd4o\xe1,\xb8\xb2\x08\x8a\x9c>g'), chr(6658 - 6558) + chr(0b1100101) + chr(6572 - 6473) + chr(5213 - 5102) + chr(1026 - 926) + chr(0b1001101 + 0o30))(chr(0b101011 + 0o112) + chr(0b1110100) + chr(532 - 430) + '\x2d' + chr(0b111000)): if pfS5O3iUpFhz is None: pfS5O3iUpFhz = EEf4r9nUvta_.qKlXBtn3PKy4 EEf4r9nUvta_ = EEf4r9nUvta_.SPnCNu54H1db elif PlSM16l2KDPD(EEf4r9nUvta_, YyaZ4tpXu4lf): if pfS5O3iUpFhz is None: pfS5O3iUpFhz = EEf4r9nUvta_ EEf4r9nUvta_ = None elif EEf4r9nUvta_ is not None and c2A0yzQpDQB3(xafqLlk3kkUe(EEf4r9nUvta_, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xd3\xd5\xb2/Xv\x98\x91N\x8e\x04'), chr(0b1011101 + 0o7) + '\x65' + chr(99) + chr(0b1100100 + 0o13) + chr(100) + chr(0b1100101))(chr(1537 - 1420) + chr(0b1110100) + '\x66' + chr(45) + '\070'))) == ehT0Px3KOsy9(chr(1342 - 1294) + chr(6839 - 6728) + chr(49), 8) and (pfS5O3iUpFhz is None): pfS5O3iUpFhz = EEf4r9nUvta_ EEf4r9nUvta_ = None I84MecrwE9bg = B6TQhWekbimD[ehT0Px3KOsy9('\060' + chr(0b110010 + 0o75) + chr(48), 8)].nauYfLglTpcb[ehT0Px3KOsy9('\060' + chr(6819 - 6708) + '\x31', 8)] if xc6qzJN8JRFh else B6TQhWekbimD.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(0b0 + 0o61), 8)] if pfS5O3iUpFhz is None: pfS5O3iUpFhz = WqUC3KWvYVup.B0ePDhpqxN5n([uXMK81tmdpTM[xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xf7\xe1\xbf\x1cFT'), chr(0b1100100) + chr(101) + '\143' + chr(0b110011 + 0o74) + '\144' + chr(101))('\x75' + chr(0b1011001 + 0o33) + '\x66' + chr(0b101101) + chr(0b110000 + 0o10))] % M8_cKLkHVB2V(WVxHKyX45z_L) for WVxHKyX45z_L in vQr8gNKaIaWE(I84MecrwE9bg)]) if not xc6qzJN8JRFh and c2A0yzQpDQB3(xafqLlk3kkUe(B6TQhWekbimD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xd3\xd5\xb2/Xv\x98\x91N\x8e\x04'), chr(0b1100100) + chr(101) + chr(0b10011 + 0o120) + chr(111) + chr(312 - 212) + chr(101))('\165' + '\164' + chr(102) + chr(1590 - 1545) + '\070'))) == ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51), 8): if DpD3xhRKMs8d is None: DpD3xhRKMs8d = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\067', 0b1000) else: DpD3xhRKMs8d = Dx22bkKPdt5d(c2A0yzQpDQB3(pfS5O3iUpFhz), DpD3xhRKMs8d) M3zkbPfCOS2i = WqUC3KWvYVup.argsort(-WqUC3KWvYVup.abs(B6TQhWekbimD.sum(ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(0b110001), 8))).xkxBmo49x2An(ehT0Px3KOsy9(chr(1412 - 1364) + chr(0b1001110 + 0o41) + chr(2003 - 1955), 8))) cWaXceDbkqGZ = 1.0 / B6TQhWekbimD.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b110100 + 0o73) + chr(0b1100 + 0o45), 8)] * ehT0Px3KOsy9(chr(48) + chr(111) + chr(718 - 668), ord("\x08")) Z9bCWRlZuRD7 = WqUC3KWvYVup.nanpercentile(B6TQhWekbimD, cWaXceDbkqGZ) uS5BQr1S3Pe9 = WqUC3KWvYVup.nanpercentile(B6TQhWekbimD, ehT0Px3KOsy9(chr(2189 - 2141) + chr(111) + chr(2245 - 2196) + chr(0b1010 + 0o52) + chr(0b110100), 0b1000) - cWaXceDbkqGZ) cMbll0QYhULo = tsdjvlgh9gDP(Lt3jp3Wjtj_1(Z9bCWRlZuRD7), Lt3jp3Wjtj_1(uS5BQr1S3Pe9)) Z9bCWRlZuRD7 = -cMbll0QYhULo uS5BQr1S3Pe9 = cMbll0QYhULo xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xdb\xc7\x9e;q'), chr(6406 - 6306) + chr(0b111111 + 0o46) + '\143' + '\157' + chr(0b1001101 + 0o27) + chr(101))(chr(117) + chr(116) + chr(0b101010 + 0o74) + chr(45) + chr(0b110101 + 0o3)))(figsize=(1.5 * DpD3xhRKMs8d + ehT0Px3KOsy9(chr(2104 - 2056) + '\157' + chr(49), 8), 0.8 * DpD3xhRKMs8d + ehT0Px3KOsy9(chr(48) + chr(0b1001101 + 0o42) + chr(2348 - 2299), 8))) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xc7\xc2\x9b%{e'), chr(100) + '\x65' + chr(99) + '\157' + '\144' + chr(0b1100101))('\x75' + chr(0b110010 + 0o102) + '\146' + '\x2d' + chr(0b110101 + 0o3)))(ehT0Px3KOsy9(chr(393 - 345) + '\x6f' + chr(85 - 36), 8), DpD3xhRKMs8d, ehT0Px3KOsy9('\060' + chr(5150 - 5039) + chr(2030 - 1981), 8)) zicp7iExaTtg = B6TQhWekbimD[:, M3zkbPfCOS2i[ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + chr(0b10001 + 0o37), 8)], M3zkbPfCOS2i] zicp7iExaTtg[:, ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(3476 - 3365) + '\061', 8):] = ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062', 8) XkkHcIrudwxj(zicp7iExaTtg, EEf4r9nUvta_[:, M3zkbPfCOS2i] if EEf4r9nUvta_ is not None else None, feature_names=pfS5O3iUpFhz[M3zkbPfCOS2i], sort=ehT0Px3KOsy9('\060' + chr(111) + '\060', 8), show=ehT0Px3KOsy9(chr(1935 - 1887) + chr(0b1000100 + 0o53) + chr(0b110000), 8), color_bar=ehT0Px3KOsy9(chr(0b110000) + chr(10609 - 10498) + '\060', 8), auto_size_plot=ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + '\060', 8), max_display=DpD3xhRKMs8d) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xde\xc9\x86'), chr(0b1100100) + '\145' + chr(99) + '\157' + chr(100) + '\145')(chr(117) + '\164' + '\146' + chr(928 - 883) + chr(0b111000)))((Z9bCWRlZuRD7, uS5BQr1S3Pe9)) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xde\xc1\x89,x'), chr(0b1000000 + 0o44) + '\145' + '\143' + chr(5477 - 5366) + '\x64' + '\x65')('\x75' + chr(0b1110100) + chr(8000 - 7898) + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b''), '\x64' + chr(0b1100010 + 0o3) + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')(chr(4298 - 4181) + '\164' + chr(0b1100110) + chr(565 - 520) + chr(0b111000))) ArNeHzin48QQ = ehT0Px3KOsy9('\060' + chr(0b111000 + 0o67) + chr(1144 - 1095) + chr(51), 0o10) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xdb\xd4\x87,'), chr(7625 - 7525) + chr(0b11001 + 0o114) + chr(99) + chr(0b1100001 + 0o16) + chr(9119 - 9019) + chr(0b1100101))('\x75' + '\164' + chr(0b1001010 + 0o34) + '\x2d' + '\070'))(oNvbrIRWCGH_(pfS5O3iUpFhz[M3zkbPfCOS2i[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11001 + 0o27), 8)]], ArNeHzin48QQ)) for WVxHKyX45z_L in vQr8gNKaIaWE(ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49), 8), Dx22bkKPdt5d(c2A0yzQpDQB3(M3zkbPfCOS2i), DpD3xhRKMs8d)): r3s_x88rHjuC = M3zkbPfCOS2i[WVxHKyX45z_L] xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xc7\xc2\x9b%{e'), chr(0b1111 + 0o125) + chr(0b1100101) + '\x63' + chr(3195 - 3084) + '\x64' + chr(10180 - 10079))(chr(0b1110101 + 0o0) + chr(12357 - 12241) + chr(6094 - 5992) + chr(45) + chr(0b111000)))(ehT0Px3KOsy9('\x30' + chr(908 - 797) + chr(0b100010 + 0o17), 8), DpD3xhRKMs8d, WVxHKyX45z_L + ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + '\061', 8)) zicp7iExaTtg = B6TQhWekbimD[:, r3s_x88rHjuC, M3zkbPfCOS2i] zicp7iExaTtg = ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32', 8) zicp7iExaTtg[:, WVxHKyX45z_L] /= ehT0Px3KOsy9(chr(48) + chr(0b110111 + 0o70) + '\x32', 8) XkkHcIrudwxj(zicp7iExaTtg, EEf4r9nUvta_[:, M3zkbPfCOS2i] if EEf4r9nUvta_ is not None else None, sort=ehT0Px3KOsy9(chr(48) + chr(2039 - 1928) + chr(905 - 857), 8), feature_names=[xafqLlk3kkUe(SXOLrMavuUCe(b''), '\144' + chr(101) + '\143' + '\157' + chr(0b1100100) + chr(101))('\165' + '\164' + chr(102) + chr(485 - 440) + chr(2499 - 2443)) for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(pfS5O3iUpFhz))], show=ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + '\060', 8), color_bar=ehT0Px3KOsy9('\x30' + chr(0b1011110 + 0o21) + chr(48), 8), auto_size_plot=ehT0Px3KOsy9(chr(853 - 805) + chr(111) + chr(48), 8), max_display=DpD3xhRKMs8d) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xde\xc9\x86'), chr(3641 - 3541) + chr(101) + chr(0b1011110 + 0o5) + chr(0b1000010 + 0o55) + chr(0b1100100) + chr(0b1011101 + 0o10))(chr(0b100011 + 0o122) + '\164' + chr(102) + chr(0b101101) + chr(0b100010 + 0o26)))((Z9bCWRlZuRD7, uS5BQr1S3Pe9)) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xde\xc1\x89,x'), chr(2181 - 2081) + chr(0b1100101) + '\143' + chr(111) + chr(4627 - 4527) + '\145')('\x75' + chr(0b111000 + 0o74) + chr(5250 - 5148) + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(100) + chr(2925 - 2824) + '\x63' + chr(10715 - 10604) + '\x64' + '\x65')(chr(0b1110101) + '\x74' + chr(102) + '\055' + chr(154 - 98))) if WVxHKyX45z_L == Dx22bkKPdt5d(c2A0yzQpDQB3(M3zkbPfCOS2i), DpD3xhRKMs8d) // ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(50), 8): xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xde\xc1\x89,x'), chr(6837 - 6737) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(12412 - 12295) + chr(0b1110100) + chr(0b1110 + 0o130) + '\x2d' + chr(1434 - 1378)))(uXMK81tmdpTM[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\xfc\xf4\xae\x1bUR\xa0\x8cq\xa39\xa7K\xf8\xe7\x89'), chr(100) + '\145' + chr(0b1100011) + chr(0b101100 + 0o103) + chr(3184 - 3084) + '\x65')(chr(0b1101000 + 0o15) + chr(0b1110100) + '\146' + '\055' + '\x38')]) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xdb\xd4\x87,'), '\144' + chr(6124 - 6023) + chr(99) + '\x6f' + '\144' + chr(0b1100101))(chr(117) + chr(0b11111 + 0o125) + chr(0b1001110 + 0o30) + '\055' + chr(0b1000 + 0o60)))(oNvbrIRWCGH_(pfS5O3iUpFhz[r3s_x88rHjuC], ArNeHzin48QQ)) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xdb\xc7\x83=K}\x95\xbcQ\x98\x12'), chr(100) + chr(0b1001000 + 0o35) + chr(488 - 389) + chr(111) + chr(100) + chr(2569 - 2468))(chr(0b1110101) + '\164' + '\x66' + '\055' + chr(0b111000)))(pad=ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + '\060', 8), w_pad=ehT0Px3KOsy9(chr(1057 - 1009) + '\157' + chr(842 - 794), 8), h_pad=0.0) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xc7\xc2\x9b%{e\x87\x9a_\x89\x0c\x84y\xc0'), chr(7266 - 7166) + chr(4156 - 4055) + chr(99) + '\157' + '\144' + chr(0b1100101))(chr(0b110011 + 0o102) + chr(0b1110100) + '\146' + chr(1320 - 1275) + chr(56)))(hspace=ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2263 - 2215), 8), wspace=0.1) if DCpH_3Y2dTvl: xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xda\xcf\x9c'), '\x64' + chr(4326 - 4225) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(7164 - 7063))(chr(0b11101 + 0o130) + chr(0b1100000 + 0o24) + chr(0b11000 + 0o116) + '\055' + chr(0b111000)))() return if DpD3xhRKMs8d is None: DpD3xhRKMs8d = ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b11000 + 0o127) + chr(863 - 813) + '\x34', 8) if tlxzdTw4q2JZ: if xc6qzJN8JRFh: W4Bawo6cEz1G = WqUC3KWvYVup.argsort(WqUC3KWvYVup.xkxBmo49x2An(WqUC3KWvYVup.aJhItC_Vawlw(WqUC3KWvYVup.abs(B6TQhWekbimD), axis=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(48), 8)), axis=ehT0Px3KOsy9(chr(48) + '\157' + chr(418 - 370), 8))) else: W4Bawo6cEz1G = WqUC3KWvYVup.argsort(WqUC3KWvYVup.xkxBmo49x2An(WqUC3KWvYVup.abs(B6TQhWekbimD), axis=ehT0Px3KOsy9(chr(48) + '\x6f' + '\x30', 8))) W4Bawo6cEz1G = W4Bawo6cEz1G[-Dx22bkKPdt5d(DpD3xhRKMs8d, c2A0yzQpDQB3(W4Bawo6cEz1G)):] else: W4Bawo6cEz1G = WqUC3KWvYVup.mFx6gsZ1V8KW(WqUC3KWvYVup.arange(Dx22bkKPdt5d(DpD3xhRKMs8d, I84MecrwE9bg)), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + '\060', 8)) DhcScOT7LYT5 = 0.4 if HopmCst5kdsV: xafqLlk3kkUe(_Io90I7sfc_c.gcf(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd7\xd4\xb4:}k\x91\x9aW\x83\x05\x99o\xc7'), chr(5922 - 5822) + chr(101) + chr(99) + '\157' + chr(0b1100100) + '\x65')(chr(5715 - 5598) + chr(0b1100111 + 0o15) + '\146' + chr(45) + '\x38'))(ehT0Px3KOsy9('\x30' + chr(5233 - 5122) + '\x31' + '\060', 0b1000), c2A0yzQpDQB3(W4Bawo6cEz1G) * DhcScOT7LYT5 + 1.5) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xca\xd6\x87 zt'), '\144' + '\145' + chr(0b1100011) + chr(8680 - 8569) + chr(0b110110 + 0o56) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(6314 - 6212) + chr(1356 - 1311) + '\x38'))(x=ehT0Px3KOsy9(chr(2169 - 2121) + chr(111) + chr(0b110000), 8), color=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\x8b\x99\xd2p-('), '\144' + '\145' + chr(99) + chr(0b1101111) + chr(0b1010011 + 0o21) + chr(1084 - 983))(chr(6156 - 6039) + chr(0b1110100) + '\146' + '\055' + '\070'), zorder=-ehT0Px3KOsy9(chr(213 - 165) + chr(0b1101111) + chr(49), 8)) if PaqrVfZtB8PT == xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xdd\xd4'), '\x64' + chr(101) + chr(0b111111 + 0o44) + chr(0b1101111) + '\144' + '\x65')(chr(11934 - 11817) + '\164' + chr(0b1100110) + chr(0b101101) + '\070'): for (NXd0aqYJd4lK, WVxHKyX45z_L) in YlkZvXL8qwsX(W4Bawo6cEz1G): xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xca\xc8\x87 zt'), chr(0b1001010 + 0o32) + '\145' + '\x63' + chr(11102 - 10991) + chr(0b1011000 + 0o14) + chr(101))(chr(11131 - 11014) + chr(0b11111 + 0o125) + chr(0b10001 + 0o125) + chr(1077 - 1032) + chr(0b111000)))(y=NXd0aqYJd4lK, color=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xd1\xc3\x88wr'), chr(0b111111 + 0o45) + chr(2558 - 2457) + chr(2946 - 2847) + chr(6567 - 6456) + chr(100) + chr(101))(chr(2030 - 1913) + chr(116) + chr(3852 - 3750) + chr(775 - 730) + chr(56)), lw=0.5, dashes=(ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(741 - 692), 8), ehT0Px3KOsy9(chr(290 - 242) + chr(0b1101111) + chr(1242 - 1189), 215 - 207)), zorder=-ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101000 + 0o11), 8)) n7vODVOKgRRe = B6TQhWekbimD[:, WVxHKyX45z_L] SPnCNu54H1db = None if EEf4r9nUvta_ is None else EEf4r9nUvta_[:, WVxHKyX45z_L] HP9YF4VVcIuY = WqUC3KWvYVup.arange(c2A0yzQpDQB3(n7vODVOKgRRe)) xafqLlk3kkUe(WqUC3KWvYVup.random, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xda\xd5\x8d/xt'), chr(0b111010 + 0o52) + chr(0b111110 + 0o47) + '\143' + '\157' + chr(0b111101 + 0o47) + '\145')(chr(117) + chr(0b1010100 + 0o40) + chr(102) + chr(0b101101) + '\x38'))(HP9YF4VVcIuY) if SPnCNu54H1db is not None: SPnCNu54H1db = SPnCNu54H1db[HP9YF4VVcIuY] n7vODVOKgRRe = n7vODVOKgRRe[HP9YF4VVcIuY] kJH8JLoGkE4M = ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001), 8) try: SPnCNu54H1db = WqUC3KWvYVup.B0ePDhpqxN5n(SPnCNu54H1db, dtype=WqUC3KWvYVup.float64) except ZVWAAMjVVHHl: kJH8JLoGkE4M = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101100 + 0o3) + chr(48), 8) vn4sOrFiSB4c = c2A0yzQpDQB3(n7vODVOKgRRe) OH9QZJ6I3ppn = ehT0Px3KOsy9('\060' + chr(6435 - 6324) + chr(0b110001) + chr(1505 - 1453) + chr(0b100 + 0o60), 8) TndBNhfkdPyu = WqUC3KWvYVup.round(OH9QZJ6I3ppn (n7vODVOKgRRe - WqUC3KWvYVup.Dx22bkKPdt5d(n7vODVOKgRRe)) / (WqUC3KWvYVup.tsdjvlgh9gDP(n7vODVOKgRRe) - WqUC3KWvYVup.Dx22bkKPdt5d(n7vODVOKgRRe) + 1e-08)) HP9YF4VVcIuY = WqUC3KWvYVup.argsort(TndBNhfkdPyu + WqUC3KWvYVup.random.randn(vn4sOrFiSB4c) * 1e-06) wgamNHppspXj = ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(48), 8) fF7NeKulQHbE = -ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49), 8) oCqQNfCOTQKb = WqUC3KWvYVup.zeros(vn4sOrFiSB4c) for r3s_x88rHjuC in HP9YF4VVcIuY: if TndBNhfkdPyu[r3s_x88rHjuC] != fF7NeKulQHbE: wgamNHppspXj = ehT0Px3KOsy9(chr(48) + chr(0b110101 + 0o72) + '\060', 8) oCqQNfCOTQKb[r3s_x88rHjuC] = WqUC3KWvYVup.ceil(wgamNHppspXj / ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010), 8)) * (wgamNHppspXj % ehT0Px3KOsy9('\060' + '\157' + chr(0b110010), 8) * ehT0Px3KOsy9(chr(964 - 916) + '\x6f' + chr(1769 - 1719), 8) - ehT0Px3KOsy9(chr(882 - 834) + chr(111) + '\x31', 8)) wgamNHppspXj += ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(1536 - 1425) + chr(455 - 406), 8) fF7NeKulQHbE = TndBNhfkdPyu[r3s_x88rHjuC] oCqQNfCOTQKb = 0.9 (DhcScOT7LYT5 / WqUC3KWvYVup.tsdjvlgh9gDP(oCqQNfCOTQKb + ehT0Px3KOsy9(chr(1548 - 1500) + chr(10658 - 10547) + '\061', 8))) if EEf4r9nUvta_ is not None and kJH8JLoGkE4M: ofr5uqNOYA5h = WqUC3KWvYVup.nanpercentile(SPnCNu54H1db, ehT0Px3KOsy9(chr(452 - 404) + '\157' + chr(53), 8)) XVodmjo_m_Ys = WqUC3KWvYVup.nanpercentile(SPnCNu54H1db, ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101101 + 0o4) + chr(0b100101 + 0o16) + '\x37', ord("\x08"))) if ofr5uqNOYA5h == XVodmjo_m_Ys: ofr5uqNOYA5h = WqUC3KWvYVup.nanpercentile(SPnCNu54H1db, ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(0b110001), 8)) XVodmjo_m_Ys = WqUC3KWvYVup.nanpercentile(SPnCNu54H1db, ehT0Px3KOsy9('\x30' + '\157' + chr(0b1011 + 0o46) + chr(0b11011 + 0o31) + chr(0b110011), 24094 - 24086)) if ofr5uqNOYA5h == XVodmjo_m_Ys: ofr5uqNOYA5h = WqUC3KWvYVup.Dx22bkKPdt5d(SPnCNu54H1db) XVodmjo_m_Ys = WqUC3KWvYVup.tsdjvlgh9gDP(SPnCNu54H1db) assert xafqLlk3kkUe(EEf4r9nUvta_, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xd3\xd5\xb2/Xv\x98\x91N\x8e\x04'), chr(8851 - 8751) + '\x65' + '\x63' + chr(0b1101111) + chr(0b100010 + 0o102) + chr(4866 - 4765))(chr(0b1110101) + chr(116) + chr(0b101101 + 0o71) + chr(1964 - 1919) + chr(0b111000)))[ehT0Px3KOsy9('\x30' + chr(5103 - 4992) + chr(48), 8)] == c2A0yzQpDQB3(n7vODVOKgRRe), xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xd7\xc1\x9f<ft\xd4\xa4P\x89F\xa2B\xf5\xe2\xec\xa9\xe1fq\xcc\x91\x92-\xcd\xfd{\xe69\xde\xa8\x08\x91\x9c9-[\x9e\x93\xff\xd3\xcd\x8eizd\x99\xa7[\x9fF\x9el\x94\xc0\xa3\xb3\xf33'), chr(9675 - 9575) + chr(0b11100 + 0o111) + chr(0b1100 + 0o127) + chr(111) + '\144' + chr(0b101001 + 0o74))(chr(117) + chr(116) + '\x66' + '\x2d' + chr(0b10000 + 0o50)) xmPhkQSyQC2l = WqUC3KWvYVup.wN4RVZAxJEhp(SPnCNu54H1db) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd1\xc1\x9f=qc'), '\144' + '\145' + '\x63' + chr(111) + chr(3454 - 3354) + chr(0b10101 + 0o120))(chr(9414 - 9297) + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b111000)))(n7vODVOKgRRe[xmPhkQSyQC2l], NXd0aqYJd4lK + oCqQNfCOTQKb[xmPhkQSyQC2l], color=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\x85\x97\xdc~#&'), chr(0b1011100 + 0o10) + chr(0b1011110 + 0o7) + '\x63' + chr(3797 - 3686) + chr(1383 - 1283) + '\145')('\x75' + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b11111 + 0o31)), vmin=ofr5uqNOYA5h, vmax=XVodmjo_m_Ys, s=ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(2513 - 2402) + chr(671 - 621) + chr(0b11000 + 0o30), 13216 - 13208), alpha=gDUX9w35YHFE, linewidth=ehT0Px3KOsy9(chr(1757 - 1709) + chr(0b111111 + 0o60) + chr(0b101111 + 0o1), 8), zorder=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1794 - 1743), 8), rasterized=c2A0yzQpDQB3(n7vODVOKgRRe) > ehT0Px3KOsy9(chr(160 - 112) + '\157' + chr(0b100 + 0o63) + chr(0b110110) + '\064', 15970 - 15962)) yBHXte6NBuav = SPnCNu54H1db[WqUC3KWvYVup.invert(xmPhkQSyQC2l)].astype(WqUC3KWvYVup.float64) oaK6e6xj0LCW = yBHXte6NBuav.igThHS4jwVsa() oaK6e6xj0LCW[WqUC3KWvYVup.wN4RVZAxJEhp(yBHXte6NBuav)] = (ofr5uqNOYA5h + XVodmjo_m_Ys) / 2.0 yBHXte6NBuav[oaK6e6xj0LCW > XVodmjo_m_Ys] = XVodmjo_m_Ys yBHXte6NBuav[oaK6e6xj0LCW < ofr5uqNOYA5h] = ofr5uqNOYA5h xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd1\xc1\x9f=qc'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b101010 + 0o105) + chr(0b1100100) + '\x65')(chr(7733 - 7616) + '\164' + chr(0b1010000 + 0o26) + chr(350 - 305) + chr(56)))(n7vODVOKgRRe[xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xdc\xd6\x8e;`'), chr(0b1100100) + chr(0b1001110 + 0o27) + '\x63' + '\157' + chr(0b1001110 + 0o26) + chr(0b10 + 0o143))('\165' + '\164' + chr(0b1100110) + chr(45) + chr(2571 - 2515)))(xmPhkQSyQC2l)], NXd0aqYJd4lK + oCqQNfCOTQKb[xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xdc\xd6\x8e;`'), chr(0b110000 + 0o64) + '\145' + '\143' + chr(1896 - 1785) + chr(0b1001110 + 0o26) + '\145')('\165' + chr(1124 - 1008) + chr(102) + chr(0b11101 + 0o20) + chr(56)))(xmPhkQSyQC2l)], cmap=xafqLlk3kkUe(bVKMf_d5jJzc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe\xd7\xc4\xb4+xd\x91'), chr(659 - 559) + chr(3489 - 3388) + chr(99) + chr(11620 - 11509) + '\x64' + chr(101))(chr(0b1100101 + 0o20) + '\164' + '\x66' + chr(0b101101) + chr(0b0 + 0o70))), vmin=ofr5uqNOYA5h, vmax=XVodmjo_m_Ys, s=ehT0Px3KOsy9(chr(1891 - 1843) + chr(0b11010 + 0o125) + '\x32' + chr(1502 - 1454), 8), c=yBHXte6NBuav, alpha=gDUX9w35YHFE, linewidth=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1806 - 1758), 8), zorder=ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(11514 - 11403) + chr(0b1101 + 0o46), 8), rasterized=c2A0yzQpDQB3(n7vODVOKgRRe) > ehT0Px3KOsy9('\060' + chr(111) + '\x37' + chr(2158 - 2104) + '\064', 8)) else: xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd1\xc1\x9f=qc'), chr(0b10001 + 0o123) + '\145' + chr(0b1100011) + chr(0b110001 + 0o76) + '\x64' + chr(0b110001 + 0o64))(chr(0b1110101) + chr(12061 - 11945) + chr(102) + chr(0b10 + 0o53) + chr(56)))(n7vODVOKgRRe, NXd0aqYJd4lK + oCqQNfCOTQKb, s=ehT0Px3KOsy9('\060' + chr(0b101100 + 0o103) + '\x32' + chr(48), 8), alpha=gDUX9w35YHFE, linewidth=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x30', 8), zorder=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1101 + 0o46), 8), color=pxiSFVqpMRzu if kJH8JLoGkE4M else xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\x85\x97\xdc~#&'), '\x64' + chr(6277 - 6176) + chr(99) + '\x6f' + chr(1994 - 1894) + '\145')(chr(11367 - 11250) + chr(116) + chr(3528 - 3426) + '\055' + chr(0b110110 + 0o2)), rasterized=c2A0yzQpDQB3(n7vODVOKgRRe) > ehT0Px3KOsy9('\060' + '\157' + chr(0b0 + 0o67) + chr(54) + chr(0b110100), 8)) elif PaqrVfZtB8PT == xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xdb\xcf\x87 z'), chr(0b1100100) + chr(2347 - 2246) + chr(0b100101 + 0o76) + chr(671 - 560) + chr(0b1100100) + chr(101))(chr(117) + chr(0b1110100) + chr(6144 - 6042) + chr(0b101101) + chr(56)): for (NXd0aqYJd4lK, WVxHKyX45z_L) in YlkZvXL8qwsX(W4Bawo6cEz1G): xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xed\xca\xc8\x87 zt'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b1100001 + 0o3) + '\x65')('\x75' + '\164' + '\146' + '\x2d' + '\x38'))(y=NXd0aqYJd4lK, color=xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf\xd1\xc3\x88wr'), '\144' + '\x65' + chr(0b1100011) + chr(111) + chr(100) + '\145')(chr(0b1110101) + chr(6857 - 6741) + chr(0b1100110) + chr(0b101101) + chr(607 - 551)), lw=0.5, dashes=(ehT0Px3KOsy9(chr(0b110000) + chr(0b1011001 + 0o26) + chr(0b101011 + 0o6), 8), ehT0Px3KOsy9(chr(964 - 916) + chr(111) + '\065', 8)), zorder=-ehT0Px3KOsy9(chr(0b110000) + chr(0b101 + 0o152) + chr(0b10011 + 0o36), 8)) if EEf4r9nUvta_ is not None: d3ZiVFYfhOkn = WqUC3KWvYVup.nanpercentile(B6TQhWekbimD[:, :c2A0yzQpDQB3(pfS5O3iUpFhz)].dbBtynT6oMgz(), ehT0Px3KOsy9('\060' + '\x6f' + '\x31', 8)) Ze1jrVy1uonh = WqUC3KWvYVup.nanpercentile(B6TQhWekbimD[:, :c2A0yzQpDQB3(pfS5O3iUpFhz)].dbBtynT6oMgz(), ehT0Px3KOsy9('\x30' + '\157' + chr(254 - 205) + chr(143 - 91) + chr(0b10001 + 0o42), 8)) for (NXd0aqYJd4lK, WVxHKyX45z_L) in YlkZvXL8qwsX(W4Bawo6cEz1G): n7vODVOKgRRe = B6TQhWekbimD[:, WVxHKyX45z_L] (iWejIu1QOt2w, TwSBNl6Igoml) = (WqUC3KWvYVup.Dx22bkKPdt5d(n7vODVOKgRRe), WqUC3KWvYVup.tsdjvlgh9gDP(n7vODVOKgRRe)) OKPXzuZwN61O = TwSBNl6Igoml - iWejIu1QOt2w f0GvdYMiCwc9 = WqUC3KWvYVup.linspace(WqUC3KWvYVup.Dx22bkKPdt5d(n7vODVOKgRRe) - OKPXzuZwN61O 0.2, WqUC3KWvYVup.tsdjvlgh9gDP(n7vODVOKgRRe) + OKPXzuZwN61O * 0.2, ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\x34' + chr(2255 - 2203), 8)) if xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\x81\xe5\xb4\x1fRT\x8c\xacp\xa2\r'), chr(4380 - 4280) + '\145' + '\143' + '\x6f' + chr(100) + chr(101))(chr(0b1110101) + '\x74' + chr(0b111010 + 0o54) + chr(0b100100 + 0o11) + chr(0b111000)))(n7vODVOKgRRe) < (Ze1jrVy1uonh - d3ZiVFYfhOkn) / ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b101110 + 0o6) + chr(52), 8): JemPxC1eYHLi = yKX2D8A5riT2(n7vODVOKgRRe + WqUC3KWvYVup.random.randn(c2A0yzQpDQB3(n7vODVOKgRRe)) * (Ze1jrVy1uonh - d3ZiVFYfhOkn) / ehT0Px3KOsy9(chr(1817 - 1769) + chr(111) + '\x31' + chr(0b10101 + 0o37) + '\064', 8))(f0GvdYMiCwc9) else: JemPxC1eYHLi = yKX2D8A5riT2(n7vODVOKgRRe)(f0GvdYMiCwc9) JemPxC1eYHLi /= WqUC3KWvYVup.tsdjvlgh9gDP(JemPxC1eYHLi) * ehT0Px3KOsy9(chr(48) + chr(774 - 663) + chr(51), 8) SPnCNu54H1db = EEf4r9nUvta_[:, WVxHKyX45z_L] zk_9FDxvu_Qq = tsdjvlgh9gDP(ehT0Px3KOsy9(chr(1280 - 1232) + chr(0b1101111) + '\061' + '\x32', 8), c2A0yzQpDQB3(SPnCNu54H1db) // ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(52), 8)) DrNvUn4uaPtr = WqUC3KWvYVup.zeros(c2A0yzQpDQB3(f0GvdYMiCwc9) - ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(0b110001), 8)) M3zkbPfCOS2i = WqUC3KWvYVup.argsort(n7vODVOKgRRe) v4QuyT2I6kDj = ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + '\x30', 8) E9sAAQjigTLl = ehT0Px3KOsy9(chr(209 - 161) + chr(0b1101111) + chr(540 - 492), 8) rZQ7k_hTrUdf = ehT0Px3KOsy9(chr(338 - 290) + '\157' + '\060', 8) SJRE6u2kFSHH = ehT0Px3KOsy9(chr(1607 - 1559) + chr(10980 - 10869) + chr(0b101000 + 0o10), 8) for tlORBuYsiw3X in vQr8gNKaIaWE(c2A0yzQpDQB3(f0GvdYMiCwc9) - ehT0Px3KOsy9(chr(1088 - 1040) + '\x6f' + chr(0b110001), 8)): while E9sAAQjigTLl < c2A0yzQpDQB3(n7vODVOKgRRe) and f0GvdYMiCwc9[tlORBuYsiw3X] >= n7vODVOKgRRe[M3zkbPfCOS2i[E9sAAQjigTLl]]: rZQ7k_hTrUdf += SPnCNu54H1db[M3zkbPfCOS2i[E9sAAQjigTLl]] E9sAAQjigTLl += ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + chr(1592 - 1543), 8) if E9sAAQjigTLl - v4QuyT2I6kDj > ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\x34', 8): rZQ7k_hTrUdf -= SPnCNu54H1db[M3zkbPfCOS2i[v4QuyT2I6kDj]] v4QuyT2I6kDj += ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + '\x31', 8) if E9sAAQjigTLl - v4QuyT2I6kDj > ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(48), 8): DrNvUn4uaPtr[tlORBuYsiw3X] = rZQ7k_hTrUdf / (E9sAAQjigTLl - v4QuyT2I6kDj) for OolUPRJhRaJd in vQr8gNKaIaWE(SJRE6u2kFSHH): DrNvUn4uaPtr[tlORBuYsiw3X - OolUPRJhRaJd - ehT0Px3KOsy9('\x30' + '\157' + chr(49), 8)] = DrNvUn4uaPtr[tlORBuYsiw3X] else: SJRE6u2kFSHH += ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + chr(0b110001), 8) ofr5uqNOYA5h = WqUC3KWvYVup.nanpercentile(SPnCNu54H1db, ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10010 + 0o43), 8)) XVodmjo_m_Ys = WqUC3KWvYVup.nanpercentile(SPnCNu54H1db, ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(49) + '\063' + chr(0b10111 + 0o40), 8)) if ofr5uqNOYA5h == XVodmjo_m_Ys: ofr5uqNOYA5h = WqUC3KWvYVup.nanpercentile(SPnCNu54H1db, ehT0Px3KOsy9(chr(750 - 702) + '\157' + chr(0b110001), 8)) XVodmjo_m_Ys = WqUC3KWvYVup.nanpercentile(SPnCNu54H1db, ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b100010 + 0o22) + chr(399 - 348), 8)) if ofr5uqNOYA5h == XVodmjo_m_Ys: ofr5uqNOYA5h = WqUC3KWvYVup.Dx22bkKPdt5d(SPnCNu54H1db) XVodmjo_m_Ys = WqUC3KWvYVup.tsdjvlgh9gDP(SPnCNu54H1db) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd1\xc1\x9f=qc'), chr(100) + chr(101) + chr(0b100 + 0o137) + '\157' + chr(0b111100 + 0o50) + chr(101))(chr(117) + chr(116) + chr(2591 - 2489) + chr(1327 - 1282) + chr(56)))(n7vODVOKgRRe, xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xdc\xc5\x98'), chr(100) + chr(0b101010 + 0o73) + chr(0b1100011) + chr(0b10110 + 0o131) + '\144' + '\x65')(chr(5732 - 5615) + '\x74' + '\x66' + '\x2d' + '\070'))(xafqLlk3kkUe(B6TQhWekbimD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xd3\xd5\xb2/Xv\x98\x91N\x8e\x04'), chr(0b1001111 + 0o25) + chr(1717 - 1616) + chr(99) + chr(111) + chr(8188 - 8088) + chr(9118 - 9017))(chr(117) + '\x74' + chr(0b111 + 0o137) + '\055' + chr(2542 - 2486)))[ehT0Px3KOsy9(chr(48) + chr(4125 - 4014) + chr(48), 8)]) * NXd0aqYJd4lK, s=ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(1158 - 1109), 0o10), cmap=xafqLlk3kkUe(bVKMf_d5jJzc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe\xd7\xc4\xb4+xd\x91'), chr(100) + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(116) + '\x66' + chr(45) + '\x38')), vmin=ofr5uqNOYA5h, vmax=XVodmjo_m_Ys, c=SPnCNu54H1db, alpha=gDUX9w35YHFE, linewidth=ehT0Px3KOsy9(chr(269 - 221) + '\x6f' + chr(1504 - 1456), 8), zorder=ehT0Px3KOsy9('\060' + chr(0b100011 + 0o114) + chr(482 - 433), 8)) DrNvUn4uaPtr -= ofr5uqNOYA5h if XVodmjo_m_Ys - ofr5uqNOYA5h > ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x30', 8): DrNvUn4uaPtr /= XVodmjo_m_Ys - ofr5uqNOYA5h for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(f0GvdYMiCwc9) - ehT0Px3KOsy9(chr(48) + chr(111) + chr(49), 8)): if JemPxC1eYHLi[WVxHKyX45z_L] > 0.05 or JemPxC1eYHLi[WVxHKyX45z_L + ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001), 8)] > 0.05: xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xdb\xcc\x87\x16vt\x80\xb2[\x88\x08'), chr(100) + chr(0b1100101) + '\143' + chr(1695 - 1584) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(7113 - 6997) + chr(0b1100110) + '\x2d' + chr(0b111000)))([f0GvdYMiCwc9[WVxHKyX45z_L], f0GvdYMiCwc9[WVxHKyX45z_L + ehT0Px3KOsy9('\x30' + chr(0b1100110 + 0o11) + chr(0b110001), 8)]], [NXd0aqYJd4lK + JemPxC1eYHLi[WVxHKyX45z_L], NXd0aqYJd4lK + JemPxC1eYHLi[WVxHKyX45z_L + ehT0Px3KOsy9('\060' + '\157' + chr(0b110001), 8)]], [NXd0aqYJd4lK - JemPxC1eYHLi[WVxHKyX45z_L], NXd0aqYJd4lK - JemPxC1eYHLi[WVxHKyX45z_L + ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + '\x31', 8)]], color=xafqLlk3kkUe(bVKMf_d5jJzc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe\xd7\xc4\xb4+xd\x91'), chr(100) + chr(101) + '\143' + chr(111) + '\144' + chr(0b1100101))('\165' + '\164' + chr(102) + chr(0b1011 + 0o42) + '\x38'))(DrNvUn4uaPtr[WVxHKyX45z_L]), zorder=ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(9479 - 9368) + chr(0b110010), 8)) else: gIfWK5W_pmM4 = _Io90I7sfc_c.violinplot(B6TQhWekbimD[:, W4Bawo6cEz1G], vQr8gNKaIaWE(c2A0yzQpDQB3(W4Bawo6cEz1G)), points=ehT0Px3KOsy9(chr(0b110000) + chr(2312 - 2201) + chr(0b111 + 0o54) + chr(0b110001) + chr(48), 1267 - 1259), vert=ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + '\060', 8), widths=0.7, showmeans=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(48), 8), showextrema=ehT0Px3KOsy9('\060' + chr(6856 - 6745) + chr(48), 8), showmedians=ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(2040 - 1992), 8)) for gI3PTXr_rri_ in gIfWK5W_pmM4[xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xdd\xc4\x82,g'), chr(2883 - 2783) + '\x65' + chr(1113 - 1014) + chr(0b1101111) + '\x64' + '\145')(chr(10832 - 10715) + chr(0b1110100) + chr(3610 - 3508) + chr(0b1001 + 0o44) + chr(0b10011 + 0o45))]: xafqLlk3kkUe(gI3PTXr_rri_, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd7\xd4\xb4/ur\x91\xa6Q\x81\t\x83'), chr(100) + chr(0b1100101) + '\143' + chr(804 - 693) + chr(3068 - 2968) + '\145')('\165' + chr(0b1110100) + '\x66' + chr(1654 - 1609) + chr(492 - 436)))(pxiSFVqpMRzu) xafqLlk3kkUe(gI3PTXr_rri_, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd7\xd4\xb4,pv\x91\xa6Q\x81\t\x83'), chr(0b1100100) + '\x65' + '\143' + '\x6f' + chr(100) + '\x65')('\165' + '\x74' + chr(0b111001 + 0o55) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xdd\xce\x8e'), chr(3153 - 3053) + '\x65' + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(101))('\165' + '\164' + chr(10131 - 10029) + chr(45) + chr(0b111000))) xafqLlk3kkUe(gI3PTXr_rri_, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd7\xd4\xb4(xa\x9c\xa4'), chr(100) + '\145' + '\x63' + chr(111) + chr(0b1000111 + 0o35) + chr(101))(chr(5781 - 5664) + chr(2968 - 2852) + chr(0b1100110) + chr(0b101101) + chr(0b110011 + 0o5)))(gDUX9w35YHFE) elif PaqrVfZtB8PT == xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd3\xd9\x8e;qu\xab\xb3W\x82\n\x98d'), chr(100) + '\145' + '\143' + '\x6f' + '\144' + chr(101))('\x75' + chr(0b1001100 + 0o50) + chr(6191 - 6089) + chr(1670 - 1625) + chr(0b101000 + 0o20)): xGO1qwttVmVs = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2308 - 2257) + chr(1028 - 979) + chr(48), 8) KQ4BDFoY4RVo = WqUC3KWvYVup.linspace(ehT0Px3KOsy9(chr(0b110000) + chr(1361 - 1250) + chr(1764 - 1716), 8), EEf4r9nUvta_.shape[ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\157' + chr(0b100010 + 0o16), 8)], EqbsTAlRFQ_M + ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b11000 + 0o127) + chr(0b110001), 8)).round(ehT0Px3KOsy9('\x30' + chr(0b110 + 0o151) + '\x30', 8)).astype(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xdc\xd4'), '\x64' + chr(0b1100101) + chr(7620 - 7521) + chr(0b10 + 0o155) + chr(3468 - 3368) + chr(0b1100101))(chr(3731 - 3614) + chr(116) + chr(0b1100110) + chr(1424 - 1379) + '\x38')) (iWejIu1QOt2w, TwSBNl6Igoml) = (WqUC3KWvYVup.Dx22bkKPdt5d(B6TQhWekbimD), WqUC3KWvYVup.tsdjvlgh9gDP(B6TQhWekbimD)) xVD55Z0dassd = WqUC3KWvYVup.linspace(iWejIu1QOt2w, TwSBNl6Igoml, xGO1qwttVmVs) for (NXd0aqYJd4lK, r3s_x88rHjuC) in YlkZvXL8qwsX(W4Bawo6cEz1G): fVxZREPfp9Oo = EEf4r9nUvta_[:, r3s_x88rHjuC] (DKU3ciDQphrT, qaIx4JIwHiwL) = WqUC3KWvYVup.unique(fVxZREPfp9Oo, return_counts=ehT0Px3KOsy9('\060' + chr(111) + chr(49), 8)) if xafqLlk3kkUe(DKU3ciDQphrT, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xd3\xd5\xb2/Xv\x98\x91N\x8e\x04'), chr(0b11 + 0o141) + chr(0b1011 + 0o132) + '\x63' + '\x6f' + chr(667 - 567) + chr(101))('\x75' + chr(116) + chr(0b1100110) + chr(0b100 + 0o51) + chr(56)))[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x30', 8)] <= EqbsTAlRFQ_M: hO2LnONV9lny = WqUC3KWvYVup.argsort(DKU3ciDQphrT) VVhsnQ04SO1r = WqUC3KWvYVup.i0lzZW3r00ue(qaIx4JIwHiwL[hO2LnONV9lny]) VVhsnQ04SO1r = WqUC3KWvYVup.insert(VVhsnQ04SO1r, ehT0Px3KOsy9('\060' + '\157' + '\060', 8), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(8521 - 8410) + chr(850 - 802), 8)) else: VVhsnQ04SO1r = KQ4BDFoY4RVo OH9QZJ6I3ppn = VVhsnQ04SO1r.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b110000) + chr(10335 - 10224) + '\x30', 8)] - ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001), 8) hO2LnONV9lny = WqUC3KWvYVup.argsort(fVxZREPfp9Oo) TTufnT3oefIY = WqUC3KWvYVup.ones(xGO1qwttVmVs) * NXd0aqYJd4lK oCqQNfCOTQKb = WqUC3KWvYVup.zeros((OH9QZJ6I3ppn, xGO1qwttVmVs)) for WVxHKyX45z_L in vQr8gNKaIaWE(OH9QZJ6I3ppn): n7vODVOKgRRe = B6TQhWekbimD[hO2LnONV9lny[VVhsnQ04SO1r[WVxHKyX45z_L]:VVhsnQ04SO1r[WVxHKyX45z_L + ehT0Px3KOsy9('\060' + '\x6f' + chr(616 - 567), 8)]], r3s_x88rHjuC] if xafqLlk3kkUe(n7vODVOKgRRe, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xd3\xd5\xb2/Xv\x98\x91N\x8e\x04'), chr(0b1100100) + chr(7188 - 7087) + '\143' + chr(3506 - 3395) + chr(100) + chr(101))('\x75' + '\164' + chr(102) + chr(0b101101) + chr(0b111000)))[ehT0Px3KOsy9('\x30' + chr(8137 - 8026) + chr(0b110000), 8)] == ehT0Px3KOsy9(chr(1609 - 1561) + chr(8987 - 8876) + chr(0b1010 + 0o47), 8): xafqLlk3kkUe(fJoTPf8D_opC, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xf6\xe5\x85\x07Vp\x96\x83p\xa6\x0b'), '\x64' + chr(0b1100101) + '\x63' + chr(111) + chr(0b11100 + 0o110) + chr(6688 - 6587))(chr(2513 - 2396) + chr(0b1001 + 0o153) + chr(102) + chr(0b1100 + 0o41) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xdd\xd4\xcb,z~\x81\xa2V\xcd\x02\x90~\xd5\x92\xa5\xaa\xa0pj\xcb\xd2\xd4{\x89\xb0h\xfa?\xde\xa6\x0c\x86\x8dl+V\xdb\x96\xff\x9e\x80\x98&4x\x80\xe2R\x81F\x93o\x94\xdb\xab\xaa\xef`f\xc1\xdc\xd7\n\x9f\xe9.\xfc#\x9d\xb2\x0c\x86\x8ap7T\xdb\xc7\xe4\xd7\x80\x85<ys\x91\xb7\x1e\x82\x00\xd1x\xd1\xd1\xa3\xb6\xe4a#\xd1\x9d\xd7.\x81\xffz\xbb'), chr(0b110111 + 0o55) + chr(101) + chr(0b11100 + 0o107) + chr(9549 - 9438) + chr(550 - 450) + '\145')(chr(9937 - 9820) + chr(4667 - 4551) + chr(0b1100110) + chr(45) + chr(56)) % (WVxHKyX45z_L, pfS5O3iUpFhz[r3s_x88rHjuC])) if WVxHKyX45z_L > ehT0Px3KOsy9(chr(48) + chr(5218 - 5107) + chr(0b11101 + 0o23), 8): oCqQNfCOTQKb[WVxHKyX45z_L, :] = oCqQNfCOTQKb[WVxHKyX45z_L - ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + '\x31', 8), :] continue oCqQNfCOTQKb[WVxHKyX45z_L, :] = yKX2D8A5riT2(n7vODVOKgRRe + WqUC3KWvYVup.random.normal(loc=ehT0Px3KOsy9(chr(814 - 766) + chr(0b101010 + 0o105) + '\060', 8), scale=0.001, size=n7vODVOKgRRe.nauYfLglTpcb[ehT0Px3KOsy9('\x30' + '\x6f' + '\060', 8)]))(xVD55Z0dassd) NLcc3BCJnQka = VVhsnQ04SO1r[WVxHKyX45z_L + ehT0Px3KOsy9(chr(754 - 706) + chr(0b100111 + 0o110) + chr(0b110001), 8)] - VVhsnQ04SO1r[WVxHKyX45z_L] jeVBjJVZp8l1 = EEf4r9nUvta_.nauYfLglTpcb[ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(0b110000), 8)] / OH9QZJ6I3ppn uSbClccLDYHU = NLcc3BCJnQka / jeVBjJVZp8l1 oCqQNfCOTQKb[WVxHKyX45z_L, :] = uSbClccLDYHU oCqQNfCOTQKb = WqUC3KWvYVup.i0lzZW3r00ue(oCqQNfCOTQKb, axis=ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1011101 + 0o22) + '\x30', 8)) mPx09rBTrGXR = 0.8 xjPLimsZRgb9 = oCqQNfCOTQKb.tsdjvlgh9gDP() ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062', 8) / mPx09rBTrGXR for WVxHKyX45z_L in vQr8gNKaIaWE(OH9QZJ6I3ppn - ehT0Px3KOsy9(chr(322 - 274) + chr(111) + chr(49), 8), -ehT0Px3KOsy9(chr(0b110000) + chr(0b1100 + 0o143) + chr(0b101 + 0o54), 8), -ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(49), 8)): SqiSOtYOqOJH = oCqQNfCOTQKb[WVxHKyX45z_L, :] / xjPLimsZRgb9 qzn1Ctg9WgNh = _Io90I7sfc_c.get_cmap(pxiSFVqpMRzu)(WVxHKyX45z_L / (OH9QZJ6I3ppn - ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(0b110001), 8))) if pxiSFVqpMRzu in _Io90I7sfc_c.cm.datad else pxiSFVqpMRzu xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xdb\xcc\x87\x16vt\x80\xb2[\x88\x08'), '\x64' + chr(4183 - 4082) + chr(99) + '\x6f' + '\144' + '\145')(chr(0b1110101) + '\164' + chr(9972 - 9870) + chr(958 - 913) + '\x38'))(xVD55Z0dassd, NXd0aqYJd4lK - SqiSOtYOqOJH, NXd0aqYJd4lK + SqiSOtYOqOJH, facecolor=qzn1Ctg9WgNh) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xde\xc9\x86'), chr(0b1100 + 0o130) + chr(101) + '\143' + '\157' + chr(0b1100100) + '\x65')(chr(0b1110101) + '\164' + '\x66' + chr(0b10011 + 0o32) + '\070'))(iWejIu1QOt2w, TwSBNl6Igoml) elif not xc6qzJN8JRFh and PaqrVfZtB8PT == xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd3\xd2'), chr(0b110011 + 0o61) + '\x65' + chr(0b100111 + 0o74) + chr(6203 - 6092) + '\144' + chr(4156 - 4055))(chr(0b1110101) + chr(116) + '\146' + chr(0b101101) + chr(291 - 235)): xhOz30CAuW46 = W4Bawo6cEz1G[:DpD3xhRKMs8d] hdtKLdUpMYvb = WqUC3KWvYVup.arange(c2A0yzQpDQB3(xhOz30CAuW46)) xRSHhTWuuost = WqUC3KWvYVup.abs(B6TQhWekbimD).aJhItC_Vawlw(ehT0Px3KOsy9(chr(508 - 460) + '\x6f' + '\060', 8)) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd3\xd2\x83'), chr(0b1100100) + '\x65' + chr(99) + '\157' + chr(0b1000100 + 0o40) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\146' + '\x2d' + chr(0b111000)))(hdtKLdUpMYvb, xRSHhTWuuost[xhOz30CAuW46], 0.7, align=xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xd7\xce\x9f,f'), '\x64' + chr(101) + chr(0b10110 + 0o115) + '\x6f' + chr(100) + chr(0b1100101))(chr(117) + '\x74' + chr(0b1100110) + chr(1021 - 976) + '\070'), color=pxiSFVqpMRzu) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xc6\xc9\x88"g'), chr(0b1010100 + 0o20) + chr(101) + '\143' + '\157' + chr(271 - 171) + chr(1380 - 1279))(chr(1165 - 1048) + chr(0b1010010 + 0o42) + '\x66' + chr(45) + '\070'))(hdtKLdUpMYvb, fontsize=ehT0Px3KOsy9(chr(1692 - 1644) + '\x6f' + chr(0b110001) + '\x35', 0o10)) xafqLlk3kkUe(_Io90I7sfc_c.gca(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd7\xd4\xb40`x\x97\xaeR\x8c\x04\x94f\xc7'), chr(7015 - 6915) + chr(0b1100101) + chr(8530 - 8431) + chr(0b1100000 + 0o17) + '\144' + chr(3025 - 2924))('\165' + chr(116) + '\x66' + chr(0b101101) + chr(0b111000)))([pfS5O3iUpFhz[WVxHKyX45z_L] for WVxHKyX45z_L in xhOz30CAuW46]) elif xc6qzJN8JRFh and PaqrVfZtB8PT == xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd3\xd2'), chr(100) + '\x65' + '\143' + '\x6f' + chr(100) + '\x65')(chr(5004 - 4887) + '\x74' + chr(0b1100110) + '\x2d' + chr(56)): if d0pd0E6a4xQt is None: d0pd0E6a4xQt = [xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf\xde\xc1\x98:4'), chr(5172 - 5072) + chr(0b1011100 + 0o11) + chr(4467 - 4368) + chr(0b1101111) + chr(5667 - 5567) + '\145')(chr(0b1110101) + '\x74' + chr(0b111 + 0o137) + '\x2d' + chr(0b1 + 0o67)) + M8_cKLkHVB2V(WVxHKyX45z_L) for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(B6TQhWekbimD))] xhOz30CAuW46 = W4Bawo6cEz1G[:DpD3xhRKMs8d] hdtKLdUpMYvb = WqUC3KWvYVup.arange(c2A0yzQpDQB3(xhOz30CAuW46)) E9jyrGYtTSnB = WqUC3KWvYVup.zeros(c2A0yzQpDQB3(xhOz30CAuW46)) z0QtAqPc4cD1 = WqUC3KWvYVup.argsort([-WqUC3KWvYVup.abs(B6TQhWekbimD[WVxHKyX45z_L]).aJhItC_Vawlw() for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(B6TQhWekbimD))]) for (WVxHKyX45z_L, r3s_x88rHjuC) in YlkZvXL8qwsX(z0QtAqPc4cD1): xRSHhTWuuost = WqUC3KWvYVup.abs(B6TQhWekbimD[r3s_x88rHjuC]).aJhItC_Vawlw(ehT0Px3KOsy9(chr(2223 - 2175) + '\x6f' + '\x30', 8)) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd3\xd2\x83'), chr(0b110110 + 0o56) + chr(1049 - 948) + chr(0b11 + 0o140) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000)))(hdtKLdUpMYvb, xRSHhTWuuost[xhOz30CAuW46], 0.7, left=E9jyrGYtTSnB, align=xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xd7\xce\x9f,f'), chr(0b1100100) + chr(0b1100101) + chr(0b1110 + 0o125) + chr(0b111000 + 0o67) + chr(0b1100100) + chr(0b10000 + 0o125))(chr(0b1110101) + '\164' + chr(102) + '\x2d' + '\070'), color=pxiSFVqpMRzu(WVxHKyX45z_L), label=d0pd0E6a4xQt[r3s_x88rHjuC]) E9jyrGYtTSnB += xRSHhTWuuost[xhOz30CAuW46] xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xc6\xc9\x88"g'), chr(8747 - 8647) + chr(101) + '\143' + chr(8888 - 8777) + chr(100) + '\145')('\165' + chr(12247 - 12131) + '\146' + chr(0b110 + 0o47) + chr(0b110000 + 0o10)))(hdtKLdUpMYvb, fontsize=ehT0Px3KOsy9('\x30' + chr(7053 - 6942) + '\x31' + '\x35', 8)) xafqLlk3kkUe(_Io90I7sfc_c.gca(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd7\xd4\xb40`x\x97\xaeR\x8c\x04\x94f\xc7'), chr(100) + '\145' + '\143' + chr(8125 - 8014) + '\144' + '\x65')(chr(117) + chr(9424 - 9308) + chr(5460 - 5358) + chr(0b11100 + 0o21) + chr(56)))([pfS5O3iUpFhz[WVxHKyX45z_L] for WVxHKyX45z_L in xhOz30CAuW46]) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b"\xe0\xd7\xc7\x8e'p"), '\x64' + chr(8321 - 8220) + chr(0b1100011) + '\157' + chr(9749 - 9649) + chr(0b1100101))(chr(0b1101010 + 0o13) + chr(0b1110100) + chr(0b11100 + 0o112) + '\055' + chr(0b111000)))(frameon=ehT0Px3KOsy9(chr(1060 - 1012) + '\x6f' + chr(0b11011 + 0o25), 8), fontsize=ehT0Px3KOsy9(chr(1900 - 1852) + '\157' + chr(0b110001) + chr(52), 0o10)) if k7crfyM5fsW8 and EEf4r9nUvta_ is not None and (PaqrVfZtB8PT != xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd3\xd2'), chr(4024 - 3924) + chr(1065 - 964) + '\x63' + chr(0b1101111) + '\144' + chr(0b1101 + 0o130))(chr(1490 - 1373) + '\164' + chr(102) + chr(1928 - 1883) + '\070')) and (PaqrVfZtB8PT != xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd3\xd9\x8e;qu\xab\xb3W\x82\n\x98d'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b100111 + 0o75) + chr(2964 - 2863))(chr(13027 - 12910) + '\x74' + chr(0b1100110) + '\x2d' + '\070') or pxiSFVqpMRzu in xafqLlk3kkUe(_Io90I7sfc_c.cm, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xd3\xd4\x8a-'), chr(2394 - 2294) + chr(101) + '\x63' + chr(7766 - 7655) + chr(0b1011001 + 0o13) + chr(0b1100101))('\165' + '\164' + chr(6582 - 6480) + '\055' + chr(0b111000)))): (Sy_Fav6C7Jyk,) = (xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xd3\xd4\x9b%{e\x98\xac\\\xc3\x05\x9c'), '\144' + '\145' + chr(5135 - 5036) + chr(1937 - 1826) + chr(100) + chr(0b1111 + 0o126))(chr(117) + '\x74' + chr(6513 - 6411) + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xdf'), chr(0b1100100) + chr(101) + chr(4216 - 4117) + '\157' + '\x64' + chr(0b1100101))(chr(0b101110 + 0o107) + '\164' + chr(102) + '\x2d' + chr(2067 - 2011))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xdf'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\157' + '\x64' + '\145')('\165' + chr(116) + chr(0b1100110) + '\x2d' + '\070')),) r8ufID9JCHnI = Sy_Fav6C7Jyk.ScalarMappable(cmap=bVKMf_d5jJzc.red_blue if PaqrVfZtB8PT != xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd3\xd9\x8e;qu\xab\xb3W\x82\n\x98d'), chr(0b1100100) + chr(0b11110 + 0o107) + '\x63' + chr(5999 - 5888) + '\144' + chr(101))(chr(10213 - 10096) + chr(7944 - 7828) + '\146' + chr(0b100111 + 0o6) + chr(56)) else _Io90I7sfc_c.get_cmap(pxiSFVqpMRzu)) xafqLlk3kkUe(r8ufID9JCHnI, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd7\xd4\xb4(fc\x95\xbc'), chr(8677 - 8577) + chr(0b1100101) + chr(0b100001 + 0o102) + chr(7608 - 7497) + chr(100) + chr(101))('\165' + chr(0b1110100) + chr(0b1001 + 0o135) + chr(654 - 609) + chr(0b110 + 0o62)))([ehT0Px3KOsy9(chr(656 - 608) + chr(111) + chr(48), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', 8)]) hfOA2bIyYn7s = _Io90I7sfc_c.colorbar(r8ufID9JCHnI, ticks=[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1123 - 1075), 8), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(1950 - 1901), 8)], aspect=ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + '\061' + chr(0b101 + 0o62) + chr(0b1110 + 0o47) + chr(0b100100 + 0o14), 57627 - 57619)) xafqLlk3kkUe(hfOA2bIyYn7s, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd7\xd4\xb4=}r\x9f\xa9_\x8f\x03\x9dy'), '\x64' + chr(0b1100101) + chr(99) + chr(4511 - 4400) + '\x64' + chr(1059 - 958))(chr(117) + chr(116) + chr(0b1100110) + '\055' + '\070'))([uXMK81tmdpTM[xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xf7\xe1\xbf\x1cFT\xab\x93\x7f\xa13\xb4U\xf8\xfd\x9b'), chr(100) + '\x65' + chr(0b100 + 0o137) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(11055 - 10938) + '\x74' + chr(102) + '\x2d' + chr(56))], uXMK81tmdpTM[xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xf7\xe1\xbf\x1cFT\xab\x93\x7f\xa13\xb4U\xfc\xfb\x8b\x8c'), chr(100) + chr(5596 - 5495) + '\x63' + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + chr(11583 - 11467) + chr(3175 - 3073) + '\x2d' + chr(0b10001 + 0o47))]]) xafqLlk3kkUe(hfOA2bIyYn7s, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd7\xd4\xb4%us\x91\xa9'), chr(0b1011001 + 0o13) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1001010 + 0o33))('\x75' + chr(116) + chr(0b110010 + 0o64) + chr(0b101101) + chr(0b111000)))(uXMK81tmdpTM[xafqLlk3kkUe(SXOLrMavuUCe(b'\xca\xf7\xe1\xbf\x1cFT\xab\x93\x7f\xa13\xb4'), chr(100) + chr(101) + chr(99) + chr(0b1100101 + 0o12) + chr(5082 - 4982) + chr(9487 - 9386))('\165' + '\164' + chr(102) + chr(0b1010 + 0o43) + '\x38')], size=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(780 - 728), 8), labelpad=ehT0Px3KOsy9(chr(48) + chr(10728 - 10617) + chr(0b111 + 0o51), 8)) xafqLlk3kkUe(hfOA2bIyYn7s.ax, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xdb\xc3\x80\x16dp\x86\xa4S\x9e'), chr(100) + chr(0b1100101) + chr(0b1100011 + 0o0) + chr(1733 - 1622) + chr(0b1100100) + chr(0b1100101))(chr(0b111111 + 0o66) + chr(0b1011101 + 0o27) + chr(1838 - 1736) + '\x2d' + '\070'))(labelsize=ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(11673 - 11562) + '\x31' + '\063', 8), length=ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b110101 + 0o72) + '\060', 8)) xafqLlk3kkUe(hfOA2bIyYn7s, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd7\xd4\xb4(xa\x9c\xa4'), '\x64' + '\145' + '\143' + chr(0b1101001 + 0o6) + chr(0b1100100) + chr(4534 - 4433))(chr(5721 - 5604) + chr(0b1110100) + '\x66' + chr(45) + chr(0b100101 + 0o23)))(ehT0Px3KOsy9(chr(733 - 685) + chr(0b1101111) + chr(0b100110 + 0o13), 8)) xafqLlk3kkUe(hfOA2bIyYn7s.outline, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd7\xd4\xb4?}b\x9d\xa7R\x88'), '\144' + '\145' + '\x63' + chr(0b1100001 + 0o16) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\164' + '\146' + chr(0b100000 + 0o15) + chr(0b111000)))(ehT0Px3KOsy9(chr(48) + '\x6f' + '\x30', 8)) HdQfPnA6nf66 = hfOA2bIyYn7s.ax.get_window_extent().aMh8mto44T2o(_Io90I7sfc_c.gcf().dpi_scale_trans.inverted()) xafqLlk3kkUe(hfOA2bIyYn7s.ax, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd7\xd4\xb4(ga\x91\xa6J'), '\x64' + chr(0b111101 + 0o50) + '\143' + chr(0b1101111) + chr(0b1001101 + 0o27) + '\x65')(chr(0b1110101) + chr(116) + chr(423 - 321) + '\x2d' + chr(56)))((xafqLlk3kkUe(HdQfPnA6nf66, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\xda\xc2\xbe\x1cXZ\x81\xbcY\x8b%'), chr(0b10000 + 0o124) + chr(101) + chr(0b11 + 0o140) + chr(111) + '\x64' + '\145')(chr(0b1110101) + chr(0b1110100) + chr(3665 - 3563) + chr(0b101 + 0o50) + chr(0b111000))) - 0.9) * ehT0Px3KOsy9(chr(48) + chr(0b1001111 + 0o40) + chr(0b110010) + chr(0b110100), 8)) xafqLlk3kkUe(_Io90I7sfc_c.gca().xaxis, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd7\xd4\xb4=}r\x9f\xb6a\x9d\t\x82c\xc0\xdb\xa3\xaa'), chr(100) + chr(101) + chr(0b1100011) + '\x6f' + chr(9662 - 9562) + chr(0b1100101))(chr(117) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b100010 + 0o26)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xdd\xd4\x9f&y'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\x64' + chr(0b11010 + 0o113))(chr(11829 - 11712) + chr(931 - 815) + chr(0b1100110) + chr(0b10011 + 0o32) + chr(0b100101 + 0o23))) xafqLlk3kkUe(_Io90I7sfc_c.gca().yaxis, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd7\xd4\xb4=}r\x9f\xb6a\x9d\t\x82c\xc0\xdb\xa3\xaa'), '\144' + chr(7251 - 7150) + chr(99) + chr(7537 - 7426) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(9382 - 9266) + chr(0b1100110) + chr(45) + chr(0b1100 + 0o54)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2\xdd\xce\x8e'), '\x64' + chr(101) + chr(756 - 657) + chr(111) + chr(0b1100100) + chr(8753 - 8652))('\x75' + chr(3682 - 3566) + '\146' + chr(45) + chr(1956 - 1900))) xafqLlk3kkUe(_Io90I7sfc_c.gca().spines[xafqLlk3kkUe(SXOLrMavuUCe(b'\xfe\xdb\xc7\x83='), '\144' + chr(0b1100101) + chr(8073 - 7974) + '\x6f' + chr(0b1100100) + chr(961 - 860))(chr(2217 - 2100) + chr(8919 - 8803) + '\146' + chr(1034 - 989) + chr(0b1 + 0o67))], xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd7\xd4\xb4?}b\x9d\xa7R\x88'), chr(8311 - 8211) + '\145' + '\143' + '\x6f' + '\x64' + chr(0b1011011 + 0o12))(chr(0b1110101) + '\164' + '\x66' + chr(0b100 + 0o51) + chr(0b111000)))(ehT0Px3KOsy9('\060' + chr(11443 - 11332) + '\060', 8)) xafqLlk3kkUe(_Io90I7sfc_c.gca().spines[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xdd\xd0'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(56))], xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd7\xd4\xb4?}b\x9d\xa7R\x88'), chr(2484 - 2384) + chr(9710 - 9609) + chr(99) + chr(111) + chr(100) + chr(5099 - 4998))('\x75' + chr(0b1110100) + '\146' + '\x2d' + '\070'))(ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000), 8)) xafqLlk3kkUe(_Io90I7sfc_c.gca().spines[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\xd7\xc6\x9f'), chr(0b1011000 + 0o14) + chr(7979 - 7878) + chr(99) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(10135 - 10019) + chr(7470 - 7368) + chr(0b101101) + chr(56))], xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd7\xd4\xb4?}b\x9d\xa7R\x88'), chr(100) + chr(101) + chr(4254 - 4155) + chr(3145 - 3034) + chr(0b1000011 + 0o41) + chr(0b1100101))(chr(0b1110101) + chr(10757 - 10641) + chr(102) + '\055' + '\x38'))(ehT0Px3KOsy9('\060' + chr(111) + chr(0b10100 + 0o34), 8)) xafqLlk3kkUe(_Io90I7sfc_c.gca(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xdb\xc3\x80\x16dp\x86\xa4S\x9e'), chr(0b1010100 + 0o20) + chr(0b1100101) + '\143' + chr(111) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b111000)))(color=fGc_OtAgxgkI, labelcolor=fGc_OtAgxgkI) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xc6\xc9\x88"g'), chr(0b1100100) + chr(101) + '\x63' + '\x6f' + chr(8130 - 8030) + '\x65')(chr(0b1110101) + chr(9724 - 9608) + '\146' + chr(311 - 266) + chr(0b111000)))(vQr8gNKaIaWE(c2A0yzQpDQB3(W4Bawo6cEz1G)), [pfS5O3iUpFhz[WVxHKyX45z_L] for WVxHKyX45z_L in W4Bawo6cEz1G], fontsize=ehT0Px3KOsy9(chr(587 - 539) + chr(0b101001 + 0o106) + chr(2321 - 2272) + '\065', 8)) if PaqrVfZtB8PT != xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd3\xd2'), '\144' + chr(0b1100000 + 0o5) + chr(99) + chr(1804 - 1693) + chr(0b10100 + 0o120) + chr(101))(chr(2619 - 2502) + chr(116) + chr(5969 - 5867) + '\055' + '\070'): xafqLlk3kkUe(_Io90I7sfc_c.gca(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xdb\xc3\x80\x16dp\x86\xa4S\x9e'), '\x64' + chr(0b1100101) + chr(0b111000 + 0o53) + '\x6f' + chr(0b1100100) + chr(2755 - 2654))(chr(7522 - 7405) + chr(0b1010 + 0o152) + chr(102) + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5'), '\x64' + chr(101) + chr(5448 - 5349) + '\157' + '\x64' + chr(3221 - 3120))(chr(0b1110101) + chr(10809 - 10693) + '\x66' + chr(0b11010 + 0o23) + chr(0b111000)), length=ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + '\064', 8), width=0.5, which=xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xd3\xca\x84;'), '\144' + '\x65' + '\143' + chr(12280 - 12169) + chr(0b1100100) + chr(0b1100101))('\165' + '\x74' + chr(102) + '\055' + chr(56))) xafqLlk3kkUe(_Io90I7sfc_c.gca(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xdb\xc3\x80\x16dp\x86\xa4S\x9e'), chr(100) + '\x65' + '\143' + chr(8595 - 8484) + '\144' + chr(0b1100 + 0o131))(chr(117) + '\x74' + '\146' + chr(45) + chr(1213 - 1157)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4'), '\144' + chr(3302 - 3201) + chr(99) + chr(8181 - 8070) + chr(0b100010 + 0o102) + '\145')('\165' + chr(6155 - 6039) + '\146' + chr(45) + '\070'), labelsize=ehT0Px3KOsy9(chr(712 - 664) + chr(7594 - 7483) + chr(0b110001) + chr(51), 8)) xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xde\xc9\x86'), chr(5404 - 5304) + chr(101) + chr(6179 - 6080) + chr(2450 - 2339) + chr(7917 - 7817) + chr(0b1100101))(chr(0b1100000 + 0o25) + chr(0b1110100) + '\146' + chr(45) + chr(2305 - 2249)))(-ehT0Px3KOsy9(chr(1591 - 1543) + chr(989 - 878) + chr(0b101111 + 0o2), 8), c2A0yzQpDQB3(W4Bawo6cEz1G)) if PaqrVfZtB8PT == xafqLlk3kkUe(SXOLrMavuUCe(b'\xee\xd3\xd2'), chr(0b1011011 + 0o11) + '\x65' + chr(99) + chr(7979 - 7868) + chr(6966 - 6866) + chr(0b110000 + 0o65))(chr(0b1110101) + chr(9076 - 8960) + chr(3014 - 2912) + '\x2d' + '\x38'): xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xde\xc1\x89,x'), chr(0b1100100 + 0o0) + chr(0b111101 + 0o50) + chr(99) + chr(0b111100 + 0o63) + chr(0b1100100) + chr(823 - 722))(chr(0b1110101) + chr(0b1000110 + 0o56) + '\146' + '\055' + chr(56)))(uXMK81tmdpTM[xafqLlk3kkUe(SXOLrMavuUCe(b'\xcb\xfe\xef\xa9\x08XN\xa2\x84r\xb8#'), chr(0b1100100) + chr(9983 - 9882) + '\143' + chr(111) + chr(4287 - 4187) + '\x65')('\165' + chr(0b10111 + 0o135) + chr(0b1100110 + 0o0) + chr(0b101101) + '\070')], fontsize=ehT0Px3KOsy9(chr(48) + chr(4226 - 4115) + chr(0b110001) + chr(0b110101), 8)) else: xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xde\xc1\x89,x'), chr(0b101000 + 0o74) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(6968 - 6867))(chr(0b1001100 + 0o51) + chr(0b111110 + 0o66) + '\x66' + chr(0b101101) + chr(0b110100 + 0o4)))(uXMK81tmdpTM[xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\xf3\xec\xbe\x0c'), chr(100) + chr(0b1100101) + '\x63' + chr(470 - 359) + '\x64' + '\145')(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + '\x38')], fontsize=ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10010 + 0o37) + '\x35', 8)) if DCpH_3Y2dTvl: xafqLlk3kkUe(_Io90I7sfc_c, xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xda\xcf\x9c'), chr(100) + '\x65' + chr(0b100101 + 0o76) + chr(2244 - 2133) + chr(2486 - 2386) + chr(3889 - 3788))(chr(117) + '\164' + chr(5440 - 5338) + chr(681 - 636) + chr(1767 - 1711)))()
slundberg/shap	shap/benchmark/methods.py	kernel_shap_1000_meanref	def kernel_shap_1000_meanref(model, data): """ Kernel SHAP 1000 mean ref. color = red_blue_circle(0.5) linestyle = solid """ return lambda X: KernelExplainer(model.predict, kmeans(data, 1)).shap_values(X, nsamples=1000, l1_reg=0)	python	def kernel_shap_1000_meanref(model, data): """ Kernel SHAP 1000 mean ref. color = red_blue_circle(0.5) linestyle = solid """ return lambda X: KernelExplainer(model.predict, kmeans(data, 1)).shap_values(X, nsamples=1000, l1_reg=0)	[ "def", "kernel_shap_1000_meanref", "(", "model", ",", "data", ")", ":", "return", "lambda", "X", ":", "KernelExplainer", "(", "model", ".", "predict", ",", "kmeans", "(", "data", ",", "1", ")", ")", ".", "shap_values", "(", "X", ",", "nsamples", "=", "1000", ",", "l1_reg", "=", "0", ")" ]	Kernel SHAP 1000 mean ref. color = red_blue_circle(0.5) linestyle = solid	[ "Kernel", "SHAP", "1000", "mean", "ref", ".", "color", "=", "red_blue_circle", "(", "0", ".", "5", ")", "linestyle", "=", "solid" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/methods.py#L35-L40	train	Kernel SHAP 1000 mean ref.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2304 - 2254), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(2442 - 2391) + chr(2310 - 2256) + chr(0b11100 + 0o30), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1073 - 962) + '\063' + chr(0b10100 + 0o35) + chr(50), 49447 - 49439), ehT0Px3KOsy9(chr(248 - 200) + chr(9196 - 9085) + chr(50) + '\x37' + chr(0b110000), 56627 - 56619), ehT0Px3KOsy9('\x30' + chr(11484 - 11373) + '\x32' + '\x34' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(334 - 286) + chr(0b1101111) + '\x31' + chr(823 - 770) + chr(1879 - 1831), 0o10), ehT0Px3KOsy9('\x30' + chr(5286 - 5175) + chr(49) + '\x37' + chr(163 - 109), 5395 - 5387), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(51) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(948 - 900) + chr(111) + chr(0b110010) + chr(0b100011 + 0o20) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(0b100 + 0o57) + '\060', 0o10), ehT0Px3KOsy9(chr(1194 - 1146) + chr(111) + '\x31' + chr(1151 - 1100) + '\061', 3662 - 3654), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11111 + 0o24) + chr(2250 - 2196) + '\x33', 4562 - 4554), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(347 - 298) + chr(0b10011 + 0o44) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(447 - 399) + '\157' + chr(0b110001) + chr(0b1 + 0o66) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7929 - 7818) + chr(0b1000 + 0o51) + chr(361 - 313) + chr(0b100000 + 0o21), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x35' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b1101 + 0o43) + chr(0b101110 + 0o5), 52935 - 52927), ehT0Px3KOsy9(chr(1592 - 1544) + chr(7380 - 7269) + '\063' + chr(2683 - 2630) + chr(1296 - 1245), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(528 - 476) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100110 + 0o15) + chr(48) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(49) + chr(54) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4864 - 4753) + chr(0b100111 + 0o13) + '\x34' + '\x34', 62496 - 62488), ehT0Px3KOsy9('\060' + chr(111) + chr(671 - 622) + chr(2456 - 2405) + chr(2533 - 2479), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + '\062' + '\x32' + '\061', 0o10), ehT0Px3KOsy9(chr(421 - 373) + chr(10823 - 10712) + chr(0b110 + 0o53) + '\062' + '\066', 21083 - 21075), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + '\061' + chr(0b110101) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(391 - 343), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(1017 - 966) + chr(0b10001 + 0o37) + '\x33', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(2366 - 2316) + '\x34' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1915 - 1864) + chr(50) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + '\063' + '\x34' + chr(0b1110 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(358 - 310) + chr(0b1101111) + chr(0b100001 + 0o21) + chr(0b110001) + chr(1000 - 946), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b10100 + 0o133) + chr(48), 63244 - 63236), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100010 + 0o15) + chr(0b110001) + chr(564 - 512) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + chr(1865 - 1816) + chr(0b110010) + chr(49), 0b1000), ehT0Px3KOsy9(chr(1837 - 1789) + chr(3630 - 3519) + '\x33' + chr(2116 - 2064) + chr(0b101110 + 0o7), 3901 - 3893), ehT0Px3KOsy9('\060' + chr(11449 - 11338) + chr(0b100110 + 0o17) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(6111 - 6000) + chr(0b101110 + 0o4) + chr(0b1000 + 0o57) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\066' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1011111 + 0o20) + chr(904 - 855) + '\067' + chr(1006 - 956), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b111100 + 0o63) + chr(53) + chr(444 - 396), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b','), '\x64' + '\x65' + chr(99) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1100110 + 0o17) + chr(10716 - 10600) + chr(0b1100110) + chr(45) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def nicwqyV8lYMo(FK0vqzZ5gPN6, ULnjp6D6efFH): return lambda xEgrFJ0REugl: xafqLlk3kkUe(b77PImcyXWxN(FK0vqzZ5gPN6.predict, GF2t9GT6kS5b(ULnjp6D6efFH, ehT0Px3KOsy9(chr(0b110000) + chr(0b11001 + 0o126) + '\061', 0b1000))), xafqLlk3kkUe(SXOLrMavuUCe(b'q\x9c\xab\xc8\xfc\x1e\x1f\xb6\xec\xfd*'), chr(0b1100100) + chr(0b11 + 0o142) + chr(1928 - 1829) + chr(0b111110 + 0o61) + chr(5960 - 5860) + chr(0b1001111 + 0o26))(chr(0b1100111 + 0o16) + '\x74' + chr(2935 - 2833) + chr(0b100 + 0o51) + chr(0b101110 + 0o12)))(xEgrFJ0REugl, nsamples=ehT0Px3KOsy9(chr(48) + chr(507 - 396) + chr(0b110001) + chr(0b100101 + 0o22) + chr(0b110101) + chr(48), ord("\x08")), l1_reg=ehT0Px3KOsy9(chr(2089 - 2041) + chr(0b1100010 + 0o15) + chr(707 - 659), 8))
slundberg/shap	shap/benchmark/methods.py	sampling_shap_1000	def sampling_shap_1000(model, data): """ IME 1000 color = red_blue_circle(0.5) linestyle = dashed """ return lambda X: SamplingExplainer(model.predict, data).shap_values(X, nsamples=1000)	python	def sampling_shap_1000(model, data): """ IME 1000 color = red_blue_circle(0.5) linestyle = dashed """ return lambda X: SamplingExplainer(model.predict, data).shap_values(X, nsamples=1000)	[ "def", "sampling_shap_1000", "(", "model", ",", "data", ")", ":", "return", "lambda", "X", ":", "SamplingExplainer", "(", "model", ".", "predict", ",", "data", ")", ".", "shap_values", "(", "X", ",", "nsamples", "=", "1000", ")" ]	IME 1000 color = red_blue_circle(0.5) linestyle = dashed	[ "IME", "1000", "color", "=", "red_blue_circle", "(", "0", ".", "5", ")", "linestyle", "=", "dashed" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/methods.py#L42-L47	train	IME 1000 sample shading	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b110 + 0o151) + chr(0b110011) + chr(52) + chr(0b1111 + 0o50), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\065' + chr(0b100000 + 0o26), 0o10), ehT0Px3KOsy9(chr(253 - 205) + chr(2620 - 2509) + '\063' + chr(51) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + '\x34' + chr(2563 - 2512), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(0b11000 + 0o35), 37149 - 37141), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(52) + '\067', 0o10), ehT0Px3KOsy9(chr(1971 - 1923) + chr(0b110 + 0o151) + chr(54) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4940 - 4829) + chr(570 - 516), 51155 - 51147), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1101111) + '\x33' + chr(54) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(2018 - 1969) + chr(0b110001 + 0o0), 0o10), ehT0Px3KOsy9('\060' + chr(9542 - 9431) + '\063' + '\x36' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\157' + chr(1939 - 1885) + '\x33', 15927 - 15919), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11011 + 0o26) + chr(0b1100 + 0o52) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + chr(0b110001) + '\x31' + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + '\066' + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10001 + 0o42) + '\x33' + chr(0b110000), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\063' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + '\x35' + chr(2549 - 2497), 752 - 744), ehT0Px3KOsy9(chr(48) + chr(4340 - 4229) + chr(2156 - 2105) + chr(0b110111) + chr(53), 0b1000), ehT0Px3KOsy9(chr(1149 - 1101) + '\157' + '\x31' + chr(0b100011 + 0o22), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101001 + 0o11) + '\066' + '\066', 0o10), ehT0Px3KOsy9(chr(2197 - 2149) + chr(0b1111 + 0o140) + '\062' + '\066' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(0b110010) + '\x30' + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10011 + 0o36) + chr(379 - 328) + chr(51), 0b1000), ehT0Px3KOsy9(chr(1704 - 1656) + chr(111) + '\x33' + '\060' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\x35' + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b1111 + 0o44) + '\x32' + chr(52), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\x36' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(51) + '\x34', 0b1000), ehT0Px3KOsy9(chr(1947 - 1899) + '\157' + chr(1671 - 1621) + chr(54) + chr(67 - 12), 33328 - 33320), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x32' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + '\063' + chr(2177 - 2122) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b100100 + 0o17) + chr(0b101010 + 0o13), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(2553 - 2502) + chr(1102 - 1047) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101110 + 0o3) + '\067' + chr(419 - 366), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b111 + 0o54) + chr(0b11010 + 0o30), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101001 + 0o6) + chr(1814 - 1765) + '\x33' + '\x37', 46455 - 46447), ehT0Px3KOsy9('\060' + chr(8468 - 8357) + chr(0b110011) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b110101) + '\x34', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(2069 - 2016) + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9'), chr(2656 - 2556) + chr(0b1100101) + chr(0b1011011 + 0o10) + chr(111) + chr(0b1100100) + chr(8224 - 8123))('\165' + chr(0b101110 + 0o106) + chr(553 - 451) + '\x2d' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def VXYAQUBpSaXP(FK0vqzZ5gPN6, ULnjp6D6efFH): return lambda xEgrFJ0REugl: xafqLlk3kkUe(OMOOJYTLpMGc(FK0vqzZ5gPN6.predict, ULnjp6D6efFH), xafqLlk3kkUe(SXOLrMavuUCe(b'\x94\x86\xb9\x93BQSj\x85f\xba'), chr(0b11001 + 0o113) + '\145' + chr(0b1011011 + 0o10) + chr(111) + '\144' + chr(6996 - 6895))(chr(0b10000 + 0o145) + chr(0b11001 + 0o133) + chr(0b1000111 + 0o37) + '\x2d' + chr(0b111000)))(xEgrFJ0REugl, nsamples=ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + '\061' + chr(0b110101 + 0o2) + chr(53) + chr(0b110000), 0b1000))
slundberg/shap	shap/benchmark/methods.py	tree_shap_independent_200	def tree_shap_independent_200(model, data): """ TreeExplainer (independent) color = red_blue_circle(0) linestyle = dashed """ data_subsample = sklearn.utils.resample(data, replace=False, n_samples=min(200, data.shape[0]), random_state=0) return TreeExplainer(model, data_subsample, feature_dependence="independent").shap_values	python	def tree_shap_independent_200(model, data): """ TreeExplainer (independent) color = red_blue_circle(0) linestyle = dashed """ data_subsample = sklearn.utils.resample(data, replace=False, n_samples=min(200, data.shape[0]), random_state=0) return TreeExplainer(model, data_subsample, feature_dependence="independent").shap_values	[ "def", "tree_shap_independent_200", "(", "model", ",", "data", ")", ":", "data_subsample", "=", "sklearn", ".", "utils", ".", "resample", "(", "data", ",", "replace", "=", "False", ",", "n_samples", "=", "min", "(", "200", ",", "data", ".", "shape", "[", "0", "]", ")", ",", "random_state", "=", "0", ")", "return", "TreeExplainer", "(", "model", ",", "data_subsample", ",", "feature_dependence", "=", "\"independent\"", ")", ".", "shap_values" ]	TreeExplainer (independent) color = red_blue_circle(0) linestyle = dashed	[ "TreeExplainer", "(", "independent", ")", "color", "=", "red_blue_circle", "(", "0", ")", "linestyle", "=", "dashed" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/methods.py#L56-L62	train	TreeExplainer with independent features.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101110 + 0o4) + '\x35' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(738 - 689) + chr(1315 - 1263), 0o10), ehT0Px3KOsy9('\x30' + chr(11193 - 11082) + chr(2012 - 1961) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1256 - 1208) + chr(10108 - 9997) + chr(1252 - 1202) + '\x37', 12938 - 12930), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110101) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + '\x31' + chr(979 - 928) + '\065', 9079 - 9071), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101001 + 0o12) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001010 + 0o45) + chr(0b11101 + 0o25) + chr(53) + '\x30', 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11111 + 0o23) + chr(0b110110) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b11001 + 0o31) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(320 - 272) + chr(5679 - 5568) + chr(2426 - 2376) + '\063' + chr(2896 - 2842), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(1373 - 1320), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11056 - 10945) + chr(345 - 291) + chr(1949 - 1895), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b100110 + 0o14) + '\067' + chr(0b110101), 56238 - 56230), ehT0Px3KOsy9(chr(48) + chr(0b10 + 0o155) + chr(51) + '\066' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\065' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1010 + 0o50) + '\061' + chr(1905 - 1851), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(7233 - 7122) + '\x36' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100001 + 0o116) + '\062' + '\x32' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7203 - 7092) + chr(0b110001) + chr(0b10 + 0o64) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001111 + 0o40) + chr(1577 - 1528) + chr(1754 - 1703) + '\065', 8), ehT0Px3KOsy9(chr(2019 - 1971) + chr(0b1000100 + 0o53) + '\062' + chr(0b110110) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\x33' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\x30' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\x30' + '\x37', 52261 - 52253), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\x37' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + '\x31' + chr(52) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101010 + 0o5) + chr(51) + chr(1022 - 972) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(3249 - 3138) + chr(49) + chr(0b110001) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100000 + 0o27) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(2032 - 1984) + '\x6f' + chr(2263 - 2213) + '\067' + chr(54), 1562 - 1554), ehT0Px3KOsy9('\x30' + chr(111) + chr(50), 49162 - 49154), ehT0Px3KOsy9(chr(647 - 599) + '\157' + '\061' + '\061' + chr(650 - 602), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110110) + chr(1568 - 1514), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b110010 + 0o5) + '\x33', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\065' + chr(0b110101), 56211 - 56203), ehT0Px3KOsy9(chr(2090 - 2042) + chr(0b100 + 0o153) + chr(0b100011 + 0o23), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + '\x30' + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(0b10 + 0o63) + chr(0b110010), 48811 - 48803), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110111) + chr(1806 - 1756), 56781 - 56773)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + chr(1558 - 1505) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x86'), chr(0b1100100) + chr(4871 - 4770) + '\143' + chr(0b1010001 + 0o36) + chr(6885 - 6785) + '\145')(chr(0b1110101) + chr(11380 - 11264) + chr(102) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def a1gagNhB0sxA(FK0vqzZ5gPN6, ULnjp6D6efFH): YzV90rtVpvTa = U_a7OzgTlwvr.utils.resample(ULnjp6D6efFH, replace=ehT0Px3KOsy9(chr(48) + chr(11854 - 11743) + chr(0b110000), ord("\x08")), n_samples=Dx22bkKPdt5d(ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b10 + 0o57) + '\x30', 0b1000), ULnjp6D6efFH.nauYfLglTpcb[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(48), 8)]), random_state=ehT0Px3KOsy9('\x30' + chr(10599 - 10488) + chr(2073 - 2025), 8)) return xafqLlk3kkUe(CGqZ5kwZ9BXY(FK0vqzZ5gPN6, YzV90rtVpvTa, feature_dependence=xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1"~r\x198u\xcc\xd1\xba\xea'), chr(0b1011 + 0o131) + '\x65' + chr(6937 - 6838) + chr(0b111001 + 0o66) + chr(1377 - 1277) + chr(0b1100101))(chr(0b1110101) + chr(3536 - 3420) + chr(2112 - 2010) + chr(0b101101) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb${g6+z\xc4\xc1\xb1\xed'), chr(0b1100100) + chr(6483 - 6382) + '\143' + chr(0b1101111) + '\x64' + chr(0b100100 + 0o101))(chr(8112 - 7995) + chr(116) + chr(5380 - 5278) + chr(45) + chr(56)))
slundberg/shap	shap/benchmark/methods.py	mean_abs_tree_shap	def mean_abs_tree_shap(model, data): """ mean(\|TreeExplainer\|) color = red_blue_circle(0.25) linestyle = solid """ def f(X): v = TreeExplainer(model).shap_values(X) if isinstance(v, list): return [np.tile(np.abs(sv).mean(0), (X.shape[0], 1)) for sv in v] else: return np.tile(np.abs(v).mean(0), (X.shape[0], 1)) return f	python	def mean_abs_tree_shap(model, data): """ mean(\|TreeExplainer\|) color = red_blue_circle(0.25) linestyle = solid """ def f(X): v = TreeExplainer(model).shap_values(X) if isinstance(v, list): return [np.tile(np.abs(sv).mean(0), (X.shape[0], 1)) for sv in v] else: return np.tile(np.abs(v).mean(0), (X.shape[0], 1)) return f	[ "def", "mean_abs_tree_shap", "(", "model", ",", "data", ")", ":", "def", "f", "(", "X", ")", ":", "v", "=", "TreeExplainer", "(", "model", ")", ".", "shap_values", "(", "X", ")", "if", "isinstance", "(", "v", ",", "list", ")", ":", "return", "[", "np", ".", "tile", "(", "np", ".", "abs", "(", "sv", ")", ".", "mean", "(", "0", ")", ",", "(", "X", ".", "shape", "[", "0", "]", ",", "1", ")", ")", "for", "sv", "in", "v", "]", "else", ":", "return", "np", ".", "tile", "(", "np", ".", "abs", "(", "v", ")", ".", "mean", "(", "0", ")", ",", "(", "X", ".", "shape", "[", "0", "]", ",", "1", ")", ")", "return", "f" ]	mean(\|TreeExplainer\|) color = red_blue_circle(0.25) linestyle = solid	[ "mean", "(", "\|TreeExplainer\|", ")", "color", "=", "red_blue_circle", "(", "0", ".", "25", ")", "linestyle", "=", "solid" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/methods.py#L64-L75	train	mean absolute tree - experience	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(0b1000 + 0o52) + '\067' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(506 - 458) + chr(1189 - 1078) + chr(1625 - 1574) + chr(54) + chr(512 - 464), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(50) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(252 - 141) + chr(50) + chr(0b110110) + '\062', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(415 - 364) + chr(0b110010 + 0o5), 63421 - 63413), ehT0Px3KOsy9(chr(80 - 32) + chr(3550 - 3439) + chr(50) + chr(0b110111) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + '\x33' + chr(0b110000) + '\060', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(55) + '\064', 52324 - 52316), ehT0Px3KOsy9(chr(48) + chr(0b111100 + 0o63) + chr(1184 - 1134) + chr(2351 - 2297) + chr(0b11011 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(51) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\065' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1510 - 1462) + chr(0b1 + 0o156) + '\x32' + chr(54) + '\x36', 28958 - 28950), ehT0Px3KOsy9('\060' + chr(2440 - 2329) + chr(0b11101 + 0o25) + '\x35' + chr(1359 - 1305), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1133 - 1085) + '\x6f' + chr(0b11001 + 0o32) + chr(0b100000 + 0o22) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(0b101101 + 0o102) + chr(51) + '\x37' + chr(0b10111 + 0o36), 35831 - 35823), ehT0Px3KOsy9('\x30' + chr(5251 - 5140) + '\x32' + chr(0b1001 + 0o52) + '\x30', 0b1000), ehT0Px3KOsy9(chr(1348 - 1300) + '\157' + '\x32' + chr(0b101110 + 0o5) + '\067', 36693 - 36685), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b100110 + 0o14) + chr(52), 6355 - 6347), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(8841 - 8730) + chr(0b110010) + chr(0b110100) + chr(0b100 + 0o57), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(50) + '\062' + chr(0b11110 + 0o23), 31687 - 31679), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b1101111) + chr(49) + '\066' + chr(749 - 700), 29699 - 29691), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(49) + chr(1502 - 1449) + chr(51), 33337 - 33329), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10001 + 0o46) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(12306 - 12195) + chr(0b110001) + chr(0b1 + 0o66) + chr(1643 - 1594), 62005 - 61997), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101101 + 0o5) + chr(48) + chr(2748 - 2694), 0o10), ehT0Px3KOsy9('\x30' + chr(11788 - 11677) + chr(49) + '\060' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(835 - 724) + chr(49) + '\060' + chr(0b111 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + '\065' + '\067', 57355 - 57347), ehT0Px3KOsy9(chr(1246 - 1198) + chr(111) + chr(0b110010) + '\x32' + chr(1846 - 1798), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b110100) + chr(1643 - 1589), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(9196 - 9085) + chr(0b110011) + chr(1625 - 1572) + chr(55), 8), ehT0Px3KOsy9(chr(2053 - 2005) + chr(0b1001100 + 0o43) + '\x32' + chr(55) + chr(0b1110 + 0o44), 26046 - 26038), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(1740 - 1689) + chr(1124 - 1072), 0o10), ehT0Px3KOsy9('\x30' + chr(2840 - 2729) + chr(49) + chr(55) + '\x31', 8), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\062' + chr(0b11010 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(1319 - 1271) + '\157' + chr(50) + chr(50) + chr(50), 0o10), ehT0Px3KOsy9(chr(90 - 42) + '\157' + chr(717 - 666) + chr(53) + chr(55), 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(51) + chr(0b100000 + 0o21) + '\067', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100000 + 0o25) + chr(1773 - 1725), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x96'), chr(0b1100100) + chr(101) + chr(99) + '\x6f' + chr(100) + chr(0b1100101))('\165' + chr(116) + chr(3947 - 3845) + chr(0b101101) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def I6t2Y4DEqHLL(FK0vqzZ5gPN6, ULnjp6D6efFH): def EGyt1xfPT1P6(xEgrFJ0REugl): cMbll0QYhULo = CGqZ5kwZ9BXY(FK0vqzZ5gPN6).shap_values(xEgrFJ0REugl) if PlSM16l2KDPD(cMbll0QYhULo, YyaZ4tpXu4lf): return [xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\x99\xbf\xd7'), chr(0b1100100) + chr(101) + chr(99) + chr(111) + chr(9968 - 9868) + '\x65')('\x75' + chr(0b1110100) + chr(102) + chr(0b11101 + 0o20) + chr(56)))(xafqLlk3kkUe(WqUC3KWvYVup.abs(hzJ_cl7tr24o), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9\xba\xbb\xfb\xab\xfc\x9f\xea\xd5\xaf\xc1\xc1'), '\144' + chr(8133 - 8032) + chr(0b1100011) + chr(3030 - 2919) + chr(0b10011 + 0o121) + chr(7139 - 7038))(chr(10185 - 10068) + chr(0b1110100) + chr(0b1001010 + 0o34) + chr(0b101101) + '\x38'))(ehT0Px3KOsy9('\x30' + '\157' + '\x30', ord("\x08"))), (xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6\x91\xa6\xeb\xb9\xf3\xa7\xd0\xe0\xa8\xce\xd4'), chr(100) + '\x65' + chr(6679 - 6580) + chr(10361 - 10250) + '\x64' + chr(0b1100101))('\165' + '\164' + chr(102) + chr(0b111 + 0o46) + chr(0b111000)))[ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b10 + 0o155) + '\x30', 8)], ehT0Px3KOsy9(chr(48) + chr(0b110100 + 0o73) + chr(49), 54576 - 54568))) for hzJ_cl7tr24o in cMbll0QYhULo] else: return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\x99\xbf\xd7'), '\x64' + chr(0b1100101) + '\143' + chr(0b1101 + 0o142) + '\144' + chr(101))('\x75' + chr(116) + chr(7306 - 7204) + chr(83 - 38) + '\070'))(xafqLlk3kkUe(WqUC3KWvYVup.abs(cMbll0QYhULo), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9\xba\xbb\xfb\xab\xfc\x9f\xea\xd5\xaf\xc1\xc1'), chr(588 - 488) + chr(101) + '\x63' + chr(111) + chr(0b1111 + 0o125) + chr(101))(chr(117) + chr(0b1100110 + 0o16) + '\146' + chr(45) + '\070'))(ehT0Px3KOsy9(chr(637 - 589) + '\x6f' + chr(2093 - 2045), 8)), (xafqLlk3kkUe(xEgrFJ0REugl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6\x91\xa6\xeb\xb9\xf3\xa7\xd0\xe0\xa8\xce\xd4'), '\144' + '\145' + chr(99) + chr(0b1011101 + 0o22) + '\144' + chr(4189 - 4088))(chr(0b1110101) + chr(0b1101 + 0o147) + chr(0b1100110) + chr(45) + chr(398 - 342)))[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', 8)], ehT0Px3KOsy9('\060' + chr(5912 - 5801) + '\x31', 8))) return EGyt1xfPT1P6
slundberg/shap	shap/benchmark/methods.py	saabas	def saabas(model, data): """ Saabas color = red_blue_circle(0) linestyle = dotted """ return lambda X: TreeExplainer(model).shap_values(X, approximate=True)	python	def saabas(model, data): """ Saabas color = red_blue_circle(0) linestyle = dotted """ return lambda X: TreeExplainer(model).shap_values(X, approximate=True)	[ "def", "saabas", "(", "model", ",", "data", ")", ":", "return", "lambda", "X", ":", "TreeExplainer", "(", "model", ")", ".", "shap_values", "(", "X", ",", "approximate", "=", "True", ")" ]	Saabas color = red_blue_circle(0) linestyle = dotted	[ "Saabas", "color", "=", "red_blue_circle", "(", "0", ")", "linestyle", "=", "dotted" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/methods.py#L77-L82	train	A simple tree expansion function.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1000111 + 0o50) + '\x33' + chr(54) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\060' + chr(0b101001 + 0o14), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + '\x32' + '\061' + chr(48), 0b1000), ehT0Px3KOsy9(chr(915 - 867) + '\x6f' + '\x31' + '\060' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001001 + 0o46) + chr(0b101010 + 0o10) + chr(0b101000 + 0o10) + '\065', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(1692 - 1641) + chr(0b100 + 0o60), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3727 - 3616) + chr(0b0 + 0o61) + chr(0b110101) + chr(0b10101 + 0o41), 23643 - 23635), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(1924 - 1875), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111111 + 0o60) + chr(1430 - 1381) + chr(49) + chr(0b100000 + 0o21), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100110 + 0o14) + chr(51) + chr(0b101 + 0o61), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(0b110001) + chr(0b100000 + 0o21) + chr(0b110101 + 0o1), 0o10), ehT0Px3KOsy9(chr(1059 - 1011) + chr(0b10100 + 0o133) + '\x33' + chr(0b101101 + 0o11) + chr(0b100 + 0o54), 0b1000), ehT0Px3KOsy9(chr(1829 - 1781) + '\x6f' + '\063' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b11001 + 0o32) + '\066' + chr(0b110000), 8), ehT0Px3KOsy9(chr(1549 - 1501) + chr(0b1101111) + chr(0b110001) + chr(0b101010 + 0o15) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\x37' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + '\062' + '\063' + chr(53), 51471 - 51463), ehT0Px3KOsy9('\x30' + chr(111) + chr(250 - 201), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + '\063' + chr(517 - 469) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(392 - 342) + chr(49) + chr(2595 - 2543), 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + '\x33' + chr(0b110001 + 0o6) + chr(1749 - 1694), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b110011) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(778 - 724) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1 + 0o62) + chr(0b10101 + 0o36) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + '\062' + chr(0b110111) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(600 - 489) + '\063' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1614 - 1566) + chr(0b1101111) + chr(1396 - 1346) + '\063', 33828 - 33820), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(231 - 181) + '\064' + '\062', 0b1000), ehT0Px3KOsy9(chr(1590 - 1542) + chr(111) + '\x31' + chr(871 - 820) + chr(51), 51149 - 51141), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + '\x31' + chr(716 - 665) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b1101111) + chr(0b100101 + 0o21) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b110111), 35519 - 35511), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(2081 - 2031) + chr(0b110001) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6514 - 6403) + chr(2488 - 2437) + chr(0b110101), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b110110) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(0b110001) + chr(53) + '\x37', 45710 - 45702), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\063' + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b11011 + 0o32), 11964 - 11956)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110101) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf'), '\144' + chr(0b1001010 + 0o33) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b111001 + 0o54))(chr(0b101111 + 0o106) + chr(0b1110100) + chr(6734 - 6632) + '\055' + chr(0b10011 + 0o45)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Q4v5PiIXSdSg(FK0vqzZ5gPN6, ULnjp6D6efFH): return lambda xEgrFJ0REugl: xafqLlk3kkUe(CGqZ5kwZ9BXY(FK0vqzZ5gPN6), xafqLlk3kkUe(SXOLrMavuUCe(b'\x82\xed\xe93\xda*\x0fu<\xfb='), chr(0b1100100) + chr(5512 - 5411) + '\x63' + chr(111) + '\x64' + chr(101))(chr(117) + '\x74' + chr(8608 - 8506) + '\055' + '\x38'))(xEgrFJ0REugl, approximate=ehT0Px3KOsy9('\060' + chr(2237 - 2126) + '\061', 8))
slundberg/shap	shap/benchmark/methods.py	lime_tabular_regression_1000	def lime_tabular_regression_1000(model, data): """ LIME Tabular 1000 """ return lambda X: other.LimeTabularExplainer(model.predict, data, mode="regression").attributions(X, nsamples=1000)	python	def lime_tabular_regression_1000(model, data): """ LIME Tabular 1000 """ return lambda X: other.LimeTabularExplainer(model.predict, data, mode="regression").attributions(X, nsamples=1000)	[ "def", "lime_tabular_regression_1000", "(", "model", ",", "data", ")", ":", "return", "lambda", "X", ":", "other", ".", "LimeTabularExplainer", "(", "model", ".", "predict", ",", "data", ",", "mode", "=", "\"regression\"", ")", ".", "attributions", "(", "X", ",", "nsamples", "=", "1000", ")" ]	LIME Tabular 1000	[ "LIME", "Tabular", "1000" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/methods.py#L91-L94	train	LIME Tabular 1000	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + '\061' + chr(0b110011) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3744 - 3633) + '\062' + chr(0b110000) + chr(0b100010 + 0o23), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1010011 + 0o34) + chr(0b110000 + 0o1) + chr(52) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(860 - 812) + chr(0b1101111) + '\061' + chr(0b110011) + chr(50), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\061' + '\062' + '\067', 0b1000), ehT0Px3KOsy9(chr(2174 - 2126) + chr(0b110110 + 0o71) + chr(0b10 + 0o57) + chr(567 - 519) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\x34' + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + chr(50) + chr(940 - 892) + chr(50), 0b1000), ehT0Px3KOsy9(chr(549 - 501) + '\x6f' + '\060', 28888 - 28880), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(6099 - 5988) + '\061' + chr(0b11000 + 0o35) + chr(0b101001 + 0o11), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(49) + chr(0b10100 + 0o37), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\x35' + chr(315 - 262), 57571 - 57563), ehT0Px3KOsy9(chr(48) + chr(111) + chr(805 - 755) + chr(302 - 248) + chr(49), 56799 - 56791), ehT0Px3KOsy9('\060' + '\x6f' + chr(2869 - 2814) + chr(0b110 + 0o57), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(0b110010) + chr(768 - 718) + '\x32', 0o10), ehT0Px3KOsy9(chr(1909 - 1861) + '\157' + chr(50) + '\066' + chr(51), 37775 - 37767), ehT0Px3KOsy9('\060' + '\157' + chr(1806 - 1755) + chr(2559 - 2507) + '\062', 0b1000), ehT0Px3KOsy9(chr(639 - 591) + chr(0b101111 + 0o100) + chr(997 - 946) + chr(3009 - 2954) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\x32' + '\064', 13500 - 13492), ehT0Px3KOsy9(chr(1293 - 1245) + chr(0b1101111) + chr(50) + '\x32' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(50) + chr(1098 - 1049) + chr(0b11 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7991 - 7880) + '\x32' + chr(1247 - 1198) + chr(1790 - 1742), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(1554 - 1499) + chr(0b1000 + 0o51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b101010 + 0o105) + chr(0b110011) + '\x30' + '\x31', 42960 - 42952), ehT0Px3KOsy9('\x30' + '\x6f' + chr(55) + chr(302 - 248), 18487 - 18479), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(11519 - 11408) + chr(0b110001) + chr(2227 - 2176) + '\061', 32186 - 32178), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + '\x31' + chr(0b110110) + '\x33', 43491 - 43483), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + chr(49) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(52) + chr(2458 - 2404), 0o10), ehT0Px3KOsy9(chr(1993 - 1945) + chr(3924 - 3813) + '\061' + chr(0b110101) + chr(55), 23721 - 23713), ehT0Px3KOsy9(chr(121 - 73) + '\x6f' + '\x31' + '\062' + '\x34', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(248 - 198) + chr(51) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b100001 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(458 - 405) + chr(1205 - 1154), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(51) + '\063', 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1539 - 1490) + '\x35' + chr(0b101110 + 0o3), 47607 - 47599), ehT0Px3KOsy9('\060' + chr(0b100101 + 0o112) + '\061' + chr(2465 - 2414) + '\x30', 8), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(111) + chr(319 - 269) + chr(55) + chr(0b10010 + 0o40), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4491 - 4380) + chr(0b110010) + '\x35', 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + chr(0b110000), 31504 - 31496)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'v'), chr(0b1100100) + chr(5709 - 5608) + chr(99) + '\157' + chr(0b1011000 + 0o14) + chr(4039 - 3938))(chr(11943 - 11826) + '\x74' + chr(102) + chr(0b10010 + 0o33) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def HpavKD2G2vjm(FK0vqzZ5gPN6, ULnjp6D6efFH): return lambda xEgrFJ0REugl: xafqLlk3kkUe(KK0ERS7DqYrY.LimeTabularExplainer(FK0vqzZ5gPN6.predict, ULnjp6D6efFH, mode=xafqLlk3kkUe(SXOLrMavuUCe(b'*\xe0\x07(26\xd2u\xedn'), chr(100) + chr(101) + '\143' + chr(111) + '\x64' + chr(0b11000 + 0o115))('\x75' + chr(0b1101 + 0o147) + chr(0b1100110) + chr(0b11111 + 0o16) + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b"9\xf1\x14(>'\xd4h\xebo\x04\xb8"), '\x64' + chr(0b1100101) + '\143' + '\157' + '\x64' + '\145')('\165' + '\x74' + chr(0b100101 + 0o101) + chr(0b100110 + 0o7) + '\070'))(xEgrFJ0REugl, nsamples=ehT0Px3KOsy9(chr(0b110000) + chr(0b111111 + 0o60) + '\061' + chr(0b10 + 0o65) + chr(0b110101) + chr(48), 29016 - 29008))
slundberg/shap	shap/benchmark/methods.py	deep_shap	def deep_shap(model, data): """ Deep SHAP (DeepLIFT) """ if isinstance(model, KerasWrap): model = model.model explainer = DeepExplainer(model, kmeans(data, 1).data) def f(X): phi = explainer.shap_values(X) if type(phi) is list and len(phi) == 1: return phi[0] else: return phi return f	python	def deep_shap(model, data): """ Deep SHAP (DeepLIFT) """ if isinstance(model, KerasWrap): model = model.model explainer = DeepExplainer(model, kmeans(data, 1).data) def f(X): phi = explainer.shap_values(X) if type(phi) is list and len(phi) == 1: return phi[0] else: return phi return f	[ "def", "deep_shap", "(", "model", ",", "data", ")", ":", "if", "isinstance", "(", "model", ",", "KerasWrap", ")", ":", "model", "=", "model", ".", "model", "explainer", "=", "DeepExplainer", "(", "model", ",", "kmeans", "(", "data", ",", "1", ")", ".", "data", ")", "def", "f", "(", "X", ")", ":", "phi", "=", "explainer", ".", "shap_values", "(", "X", ")", "if", "type", "(", "phi", ")", "is", "list", "and", "len", "(", "phi", ")", "==", "1", ":", "return", "phi", "[", "0", "]", "else", ":", "return", "phi", "return", "f" ]	Deep SHAP (DeepLIFT)	[ "Deep", "SHAP", "(", "DeepLIFT", ")" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/methods.py#L96-L109	train	Deep SHAP function	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x33' + '\x31', 62198 - 62190), ehT0Px3KOsy9(chr(1720 - 1672) + '\x6f' + '\063' + chr(0b10101 + 0o41) + chr(0b101100 + 0o12), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b110100) + chr(1514 - 1464), 23158 - 23150), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b0 + 0o61) + chr(0b10100 + 0o36) + '\x37', 17995 - 17987), ehT0Px3KOsy9('\x30' + chr(0b111101 + 0o62) + chr(49) + chr(2151 - 2103) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(5189 - 5078) + chr(0b0 + 0o61) + chr(0b10010 + 0o40) + chr(270 - 221), 0o10), ehT0Px3KOsy9(chr(2183 - 2135) + '\x6f' + chr(2135 - 2085) + chr(0b100000 + 0o25) + '\060', 14306 - 14298), ehT0Px3KOsy9(chr(48) + chr(1873 - 1762) + '\062' + chr(335 - 286) + chr(0b110110), 50124 - 50116), ehT0Px3KOsy9(chr(48) + chr(0b1000001 + 0o56) + chr(49) + chr(53) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b11001 + 0o34) + chr(1770 - 1717), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(324 - 275) + '\x34' + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10100 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101 + 0o56) + chr(467 - 418) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + chr(0b110100) + chr(1774 - 1719), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + chr(0b110001) + '\x30' + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\x35' + chr(51), 10442 - 10434), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + chr(0b10100 + 0o36) + chr(0b0 + 0o63) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1100111 + 0o10) + '\063' + '\060' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110100) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011 + 0o0) + chr(0b110001) + chr(202 - 154), 63663 - 63655), ehT0Px3KOsy9('\x30' + chr(7675 - 7564) + '\062' + '\x30' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(50) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(383 - 335) + chr(4650 - 4539) + chr(0b10000 + 0o42) + chr(0b100000 + 0o21) + chr(0b110010 + 0o1), 44726 - 44718), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(55) + chr(0b100010 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4029 - 3918) + '\x31' + chr(54) + chr(0b100010 + 0o25), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2117 - 2067) + chr(0b110010) + chr(0b110110 + 0o0), 11887 - 11879), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(0b101110 + 0o11) + chr(0b110100), 44207 - 44199), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\x33' + chr(2547 - 2492), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(55) + chr(0b1000 + 0o54), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(1987 - 1932) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101100 + 0o6) + chr(2755 - 2702) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1101 - 1052) + '\063' + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11101 + 0o25) + '\064' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(2239 - 2191) + chr(0b100000 + 0o117) + chr(0b110001) + chr(248 - 196) + chr(0b100101 + 0o14), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(4031 - 3920) + chr(0b110010) + chr(970 - 917) + chr(2839 - 2784), 18500 - 18492), ehT0Px3KOsy9(chr(851 - 803) + chr(0b1101111) + chr(0b101111 + 0o3) + chr(1953 - 1901) + chr(0b1101 + 0o47), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b110010) + chr(0b110001), 8), ehT0Px3KOsy9(chr(1990 - 1942) + chr(111) + '\x33' + chr(862 - 810) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(53), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(118 - 70) + '\157' + chr(803 - 750) + chr(2204 - 2156), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'w'), chr(0b1100100) + '\x65' + chr(8174 - 8075) + '\x6f' + chr(813 - 713) + chr(0b1100101))(chr(0b1101010 + 0o13) + chr(9521 - 9405) + chr(0b11100 + 0o112) + chr(45) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def prjuePLgzFxc(FK0vqzZ5gPN6, ULnjp6D6efFH): if PlSM16l2KDPD(FK0vqzZ5gPN6, mVi4NJ2Oruzw): FK0vqzZ5gPN6 = FK0vqzZ5gPN6.FK0vqzZ5gPN6 l8QhvN2eFU9K = _gcB7O3V3GaV(FK0vqzZ5gPN6, GF2t9GT6kS5b(ULnjp6D6efFH, ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + chr(0b10111 + 0o32), 48704 - 48696)).ULnjp6D6efFH) def EGyt1xfPT1P6(xEgrFJ0REugl): IOGtkN7op9UY = l8QhvN2eFU9K.shap_values(xEgrFJ0REugl) if PlSM16l2KDPD(IOGtkN7op9UY, YyaZ4tpXu4lf) and c2A0yzQpDQB3(IOGtkN7op9UY) == ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + chr(0b1101 + 0o44), 8): return IOGtkN7op9UY[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(48), 0b1000)] else: return IOGtkN7op9UY return EGyt1xfPT1P6
slundberg/shap	shap/benchmark/methods.py	expected_gradients	def expected_gradients(model, data): """ Expected Gradients """ if isinstance(model, KerasWrap): model = model.model explainer = GradientExplainer(model, data) def f(X): phi = explainer.shap_values(X) if type(phi) is list and len(phi) == 1: return phi[0] else: return phi return f	python	def expected_gradients(model, data): """ Expected Gradients """ if isinstance(model, KerasWrap): model = model.model explainer = GradientExplainer(model, data) def f(X): phi = explainer.shap_values(X) if type(phi) is list and len(phi) == 1: return phi[0] else: return phi return f	[ "def", "expected_gradients", "(", "model", ",", "data", ")", ":", "if", "isinstance", "(", "model", ",", "KerasWrap", ")", ":", "model", "=", "model", ".", "model", "explainer", "=", "GradientExplainer", "(", "model", ",", "data", ")", "def", "f", "(", "X", ")", ":", "phi", "=", "explainer", ".", "shap_values", "(", "X", ")", "if", "type", "(", "phi", ")", "is", "list", "and", "len", "(", "phi", ")", "==", "1", ":", "return", "phi", "[", "0", "]", "else", ":", "return", "phi", "return", "f" ]	Expected Gradients	[ "Expected", "Gradients" ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/benchmark/methods.py#L111-L124	train	Returns a function that returns the expected gradients for a Keras object.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101011 + 0o10) + chr(750 - 698) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2651 - 2540) + '\067' + chr(1600 - 1550), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + '\063' + chr(48) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b101101 + 0o102) + chr(0b1010 + 0o47) + chr(51) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(50) + chr(899 - 849) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(472 - 424) + chr(9087 - 8976) + chr(0b11110 + 0o23) + '\x35' + chr(0b1010 + 0o47), 33875 - 33867), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(57 - 7) + '\065' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\x32' + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(4339 - 4228) + chr(0b110011) + chr(1207 - 1156) + chr(1600 - 1551), 53874 - 53866), ehT0Px3KOsy9(chr(0b110000) + chr(2003 - 1892) + chr(1577 - 1528) + chr(0b110111) + chr(50), 32929 - 32921), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b110111) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(6647 - 6536) + '\062' + chr(51) + chr(0b10100 + 0o43), 55687 - 55679), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1101110 + 0o1) + chr(0b110001) + chr(51) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(3777 - 3666) + chr(51) + '\x36' + chr(0b101011 + 0o7), 0o10), ehT0Px3KOsy9(chr(1849 - 1801) + chr(0b10001 + 0o136) + chr(0b110010 + 0o1) + chr(49) + chr(0b100011 + 0o24), 33987 - 33979), ehT0Px3KOsy9(chr(1675 - 1627) + chr(0b1101111) + chr(52), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(881 - 830) + chr(53) + chr(678 - 628), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b11000 + 0o32), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x30' + chr(2333 - 2280), 0b1000), ehT0Px3KOsy9(chr(142 - 94) + chr(0b1001100 + 0o43) + chr(165 - 114) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2245 - 2134) + chr(0b10011 + 0o40) + chr(0b110010) + chr(0b110111), 37520 - 37512), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + '\061' + '\061' + '\x34', 30638 - 30630), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\066' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b11001 + 0o126) + '\x31' + chr(0b110000) + '\067', 820 - 812), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\x35' + '\x36', 8), ehT0Px3KOsy9(chr(1324 - 1276) + '\x6f' + '\x32' + chr(504 - 453) + '\x35', 24863 - 24855), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(0b100010 + 0o20) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1075 - 1024) + '\x31' + chr(221 - 173), 0o10), ehT0Px3KOsy9(chr(1331 - 1283) + chr(0b1001111 + 0o40) + chr(0b10100 + 0o35) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(816 - 765) + '\x36' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(986 - 934) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(2121 - 2073) + '\x6f' + chr(51) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\065' + '\x33', 0b1000), ehT0Px3KOsy9(chr(1600 - 1552) + '\157' + '\062' + chr(0b101 + 0o60) + chr(0b110011), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b11000 + 0o35) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\061' + '\067', 0b1000), ehT0Px3KOsy9(chr(1288 - 1240) + chr(0b1100101 + 0o12) + chr(0b10000 + 0o46) + '\061', 9119 - 9111), ehT0Px3KOsy9(chr(48) + chr(5528 - 5417) + chr(51) + '\x32' + chr(1941 - 1886), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(9912 - 9801) + chr(0b11100 + 0o31) + chr(0b101100 + 0o4), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd'), '\144' + chr(101) + '\143' + chr(111) + chr(6680 - 6580) + chr(0b1100101))('\165' + '\164' + chr(102) + chr(45) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def qY8fukgKYBNP(FK0vqzZ5gPN6, ULnjp6D6efFH): if PlSM16l2KDPD(FK0vqzZ5gPN6, mVi4NJ2Oruzw): FK0vqzZ5gPN6 = FK0vqzZ5gPN6.FK0vqzZ5gPN6 l8QhvN2eFU9K = vdK8xWbXxgID(FK0vqzZ5gPN6, ULnjp6D6efFH) def EGyt1xfPT1P6(xEgrFJ0REugl): IOGtkN7op9UY = l8QhvN2eFU9K.shap_values(xEgrFJ0REugl) if PlSM16l2KDPD(IOGtkN7op9UY, YyaZ4tpXu4lf) and c2A0yzQpDQB3(IOGtkN7op9UY) == ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001), 8): return IOGtkN7op9UY[ehT0Px3KOsy9('\x30' + chr(0b11011 + 0o124) + chr(1692 - 1644), 35979 - 35971)] else: return IOGtkN7op9UY return EGyt1xfPT1P6
slundberg/shap	shap/explainers/deep/__init__.py	DeepExplainer.shap_values	def shap_values(self, X, ranked_outputs=None, output_rank_order='max'): """ Return approximate SHAP values for the model applied to the data given by X. Parameters ---------- X : list, if framework == 'tensorflow': numpy.array, or pandas.DataFrame if framework == 'pytorch': torch.tensor A tensor (or list of tensors) of samples (where X.shape[0] == # samples) on which to explain the model's output. ranked_outputs : None or int If ranked_outputs is None then we explain all the outputs in a multi-output model. If ranked_outputs is a positive integer then we only explain that many of the top model outputs (where "top" is determined by output_rank_order). Note that this causes a pair of values to be returned (shap_values, indexes), where shap_values is a list of numpy arrays for each of the output ranks, and indexes is a matrix that indicates for each sample which output indexes were choses as "top". output_rank_order : "max", "min", or "max_abs" How to order the model outputs when using ranked_outputs, either by maximum, minimum, or maximum absolute value. Returns ------- For a models with a single output this returns a tensor of SHAP values with the same shape as X. For a model with multiple outputs this returns a list of SHAP value tensors, each of which are the same shape as X. If ranked_outputs is None then this list of tensors matches the number of model outputs. If ranked_outputs is a positive integer a pair is returned (shap_values, indexes), where shap_values is a list of tensors with a length of ranked_outputs, and indexes is a matrix that indicates for each sample which output indexes were chosen as "top". """ return self.explainer.shap_values(X, ranked_outputs, output_rank_order)	python	def shap_values(self, X, ranked_outputs=None, output_rank_order='max'): """ Return approximate SHAP values for the model applied to the data given by X. Parameters ---------- X : list, if framework == 'tensorflow': numpy.array, or pandas.DataFrame if framework == 'pytorch': torch.tensor A tensor (or list of tensors) of samples (where X.shape[0] == # samples) on which to explain the model's output. ranked_outputs : None or int If ranked_outputs is None then we explain all the outputs in a multi-output model. If ranked_outputs is a positive integer then we only explain that many of the top model outputs (where "top" is determined by output_rank_order). Note that this causes a pair of values to be returned (shap_values, indexes), where shap_values is a list of numpy arrays for each of the output ranks, and indexes is a matrix that indicates for each sample which output indexes were choses as "top". output_rank_order : "max", "min", or "max_abs" How to order the model outputs when using ranked_outputs, either by maximum, minimum, or maximum absolute value. Returns ------- For a models with a single output this returns a tensor of SHAP values with the same shape as X. For a model with multiple outputs this returns a list of SHAP value tensors, each of which are the same shape as X. If ranked_outputs is None then this list of tensors matches the number of model outputs. If ranked_outputs is a positive integer a pair is returned (shap_values, indexes), where shap_values is a list of tensors with a length of ranked_outputs, and indexes is a matrix that indicates for each sample which output indexes were chosen as "top". """ return self.explainer.shap_values(X, ranked_outputs, output_rank_order)	[ "def", "shap_values", "(", "self", ",", "X", ",", "ranked_outputs", "=", "None", ",", "output_rank_order", "=", "'max'", ")", ":", "return", "self", ".", "explainer", ".", "shap_values", "(", "X", ",", "ranked_outputs", ",", "output_rank_order", ")" ]	Return approximate SHAP values for the model applied to the data given by X. Parameters ---------- X : list, if framework == 'tensorflow': numpy.array, or pandas.DataFrame if framework == 'pytorch': torch.tensor A tensor (or list of tensors) of samples (where X.shape[0] == # samples) on which to explain the model's output. ranked_outputs : None or int If ranked_outputs is None then we explain all the outputs in a multi-output model. If ranked_outputs is a positive integer then we only explain that many of the top model outputs (where "top" is determined by output_rank_order). Note that this causes a pair of values to be returned (shap_values, indexes), where shap_values is a list of numpy arrays for each of the output ranks, and indexes is a matrix that indicates for each sample which output indexes were choses as "top". output_rank_order : "max", "min", or "max_abs" How to order the model outputs when using ranked_outputs, either by maximum, minimum, or maximum absolute value. Returns ------- For a models with a single output this returns a tensor of SHAP values with the same shape as X. For a model with multiple outputs this returns a list of SHAP value tensors, each of which are the same shape as X. If ranked_outputs is None then this list of tensors matches the number of model outputs. If ranked_outputs is a positive integer a pair is returned (shap_values, indexes), where shap_values is a list of tensors with a length of ranked_outputs, and indexes is a matrix that indicates for each sample which output indexes were chosen as "top".	[ "Return", "approximate", "SHAP", "values", "for", "the", "model", "applied", "to", "the", "data", "given", "by", "X", "." ]	b280cb81d498b9d98565cad8dd16fc88ae52649f	https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/explainers/deep/__init__.py#L86-L119	train	Return the approximate SHAP values for the model applied to the data given by X.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110110 + 0o1) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11001 + 0o32) + chr(0b110011) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11 + 0o57) + '\066' + chr(0b10001 + 0o43), 57390 - 57382), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2010 - 1960) + chr(0b110011) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\x35' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110010) + chr(0b110001 + 0o1), 0b1000), ehT0Px3KOsy9(chr(1601 - 1553) + chr(111) + chr(0b110010) + '\x37' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(302 - 254) + '\157' + chr(0b10011 + 0o37) + '\065' + chr(0b1001 + 0o47), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8213 - 8102) + chr(0b110001) + chr(2494 - 2443) + chr(0b10111 + 0o32), 46086 - 46078), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(54 - 6) + '\157' + chr(49) + chr(2540 - 2486) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1434 - 1386) + chr(111) + chr(0b100101 + 0o14) + chr(50) + chr(0b100001 + 0o21), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100100 + 0o16) + '\x33' + '\061', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\066' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(0b11110 + 0o23) + chr(0b110110) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x35' + chr(0b101000 + 0o10), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1001001 + 0o46) + chr(0b10 + 0o62), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(51) + chr(0b10 + 0o64), 57917 - 57909), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\064' + chr(0b110000), 64533 - 64525), ehT0Px3KOsy9(chr(0b110000) + chr(3907 - 3796) + chr(0b110010) + '\x30' + chr(49), 0o10), ehT0Px3KOsy9('\x30' + chr(3695 - 3584) + chr(51) + chr(0b110100) + chr(0b101100 + 0o5), 0o10), ehT0Px3KOsy9(chr(48) + chr(9312 - 9201) + chr(0b100 + 0o56) + chr(0b110111) + chr(494 - 444), 0o10), ehT0Px3KOsy9(chr(86 - 38) + chr(111) + '\x33' + chr(1163 - 1110) + '\x32', 30253 - 30245), ehT0Px3KOsy9('\060' + chr(0b1 + 0o156) + chr(1450 - 1401) + '\065' + chr(50), 60668 - 60660), ehT0Px3KOsy9(chr(442 - 394) + chr(3925 - 3814) + chr(0b1101 + 0o52) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001111 + 0o40) + chr(2227 - 2177) + chr(0b101001 + 0o10) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(11612 - 11501) + '\x32' + '\x37' + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(52) + '\061', 15501 - 15493), ehT0Px3KOsy9(chr(48) + chr(0b1010011 + 0o34) + chr(49) + chr(1228 - 1174) + chr(1316 - 1268), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001111 + 0o40) + chr(70 - 21) + chr(2266 - 2213) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + '\066' + chr(0b1 + 0o60), 18703 - 18695), ehT0Px3KOsy9('\060' + '\157' + chr(0b100100 + 0o16) + chr(52) + chr(51), 47010 - 47002), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1100100 + 0o13) + '\062' + chr(837 - 786) + chr(2081 - 2027), 8), ehT0Px3KOsy9('\x30' + chr(0b1011 + 0o144) + '\x33' + chr(0b110110) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(512 - 401) + '\063' + chr(0b11010 + 0o34) + chr(0b110011 + 0o3), 63157 - 63149), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(52) + '\060', 8), ehT0Px3KOsy9(chr(48) + chr(1626 - 1515) + '\x32' + chr(0b101101 + 0o12) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(50) + '\x37', 58761 - 58753), ehT0Px3KOsy9('\060' + chr(111) + chr(132 - 81) + chr(0b110100) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11010 + 0o27) + '\060' + chr(0b10010 + 0o42), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(10085 - 9974) + chr(53) + chr(2038 - 1990), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x17'), chr(0b1100100) + chr(0b11010 + 0o113) + '\x63' + chr(11535 - 11424) + '\144' + '\x65')(chr(117) + '\x74' + chr(0b1100110) + '\055' + chr(0b101111 + 0o11)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def B6TQhWekbimD(oVre8I6UXc3b, xEgrFJ0REugl, o7rT14jUPTm8=None, i_prgIhtoCzx=xafqLlk3kkUe(SXOLrMavuUCe(b'T\xbf\xcc'), chr(100) + '\145' + '\143' + chr(8798 - 8687) + '\x64' + '\x65')(chr(117) + chr(0b10110 + 0o136) + chr(0b1100110) + chr(0b101101) + '\x38')): return xafqLlk3kkUe(oVre8I6UXc3b.explainer, xafqLlk3kkUe(SXOLrMavuUCe(b'J\xb6\xd5\xe9\xf1$\xd9\xc4,l\x02'), chr(7327 - 7227) + chr(101) + chr(0b1100011) + chr(7791 - 7680) + chr(0b1010001 + 0o23) + chr(0b1100101))('\x75' + chr(0b1110100) + '\146' + chr(0b101101) + chr(975 - 919)))(xEgrFJ0REugl, o7rT14jUPTm8, i_prgIhtoCzx)
ray-project/ray	python/ray/rllib/agents/mock.py	_agent_import_failed	def _agent_import_failed(trace): """Returns dummy agent class for if PyTorch etc. is not installed.""" class _AgentImportFailed(Trainer): _name = "AgentImportFailed" _default_config = with_common_config({}) def _setup(self, config): raise ImportError(trace) return _AgentImportFailed	python	def _agent_import_failed(trace): """Returns dummy agent class for if PyTorch etc. is not installed.""" class _AgentImportFailed(Trainer): _name = "AgentImportFailed" _default_config = with_common_config({}) def _setup(self, config): raise ImportError(trace) return _AgentImportFailed	[ "def", "_agent_import_failed", "(", "trace", ")", ":", "class", "_AgentImportFailed", "(", "Trainer", ")", ":", "_name", "=", "\"AgentImportFailed\"", "_default_config", "=", "with_common_config", "(", "{", "}", ")", "def", "_setup", "(", "self", ",", "config", ")", ":", "raise", "ImportError", "(", "trace", ")", "return", "_AgentImportFailed" ]	Returns dummy agent class for if PyTorch etc. is not installed.	[ "Returns", "dummy", "agent", "class", "for", "if", "PyTorch", "etc", ".", "is", "not", "installed", "." ]	4eade036a0505e244c976f36aaa2d64386b5129b	https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/rllib/agents/mock.py#L108-L118	train	Returns a dummy agent class for if PyTorch etc. is not installed.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + chr(1346 - 1297) + '\063' + chr(1988 - 1937), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(0b10010 + 0o45) + chr(386 - 337), 27640 - 27632), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1100 + 0o45) + '\067' + chr(0b10110 + 0o36), 0o10), ehT0Px3KOsy9(chr(1138 - 1090) + '\157' + chr(1690 - 1639) + chr(0b100101 + 0o22) + chr(2295 - 2244), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + '\061' + '\065' + chr(2279 - 2224), 0o10), ehT0Px3KOsy9(chr(95 - 47) + chr(3423 - 3312) + '\x32' + chr(0b1110 + 0o42) + '\x33', 24654 - 24646), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1011100 + 0o23) + '\x33' + chr(0b11001 + 0o33) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1658 - 1547) + chr(0b110101) + chr(0b10011 + 0o40), 0o10), ehT0Px3KOsy9(chr(1251 - 1203) + chr(0b101100 + 0o103) + chr(0b110001 + 0o1) + '\x32' + chr(1293 - 1244), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\066' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + chr(0b110001) + chr(52) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3197 - 3086) + chr(51) + chr(720 - 667) + chr(0b1101 + 0o51), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b10011 + 0o43), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(1264 - 1214) + '\063' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(709 - 661) + chr(0b1100010 + 0o15) + chr(52) + chr(0b10101 + 0o33), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10100 + 0o36) + chr(0b11 + 0o60) + '\x33', 3201 - 3193), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(0b1 + 0o64), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\060' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101111) + chr(947 - 897) + '\x31' + '\067', 35633 - 35625), ehT0Px3KOsy9(chr(1569 - 1521) + '\x6f' + '\065' + chr(0b110101), 10764 - 10756), ehT0Px3KOsy9(chr(0b110000) + chr(11696 - 11585) + '\x33' + chr(50) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b10001 + 0o44), 8), ehT0Px3KOsy9(chr(199 - 151) + chr(9001 - 8890) + chr(0b11011 + 0o26) + chr(1405 - 1352) + chr(837 - 782), 8), ehT0Px3KOsy9(chr(1025 - 977) + '\x6f' + chr(1466 - 1413) + '\x33', 8), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(0b110011) + chr(49) + '\067', 5875 - 5867), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b100011 + 0o20) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b110111) + chr(0b110001), 49392 - 49384), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(51) + chr(0b110000) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + chr(50) + chr(53) + chr(1933 - 1880), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(0b110011) + chr(0b1011 + 0o50) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(969 - 918), ord("\x08")), ehT0Px3KOsy9('\060' + chr(10280 - 10169) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + '\067' + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(844 - 793) + chr(0b101100 + 0o4) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(619 - 571) + '\157' + chr(0b100000 + 0o21) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(2177 - 2129) + chr(0b111010 + 0o65) + '\x32' + chr(1510 - 1461) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(2390 - 2337) + chr(0b1000 + 0o52), 0o10), ehT0Px3KOsy9(chr(761 - 713) + chr(111) + chr(0b101111 + 0o4) + '\064' + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(1331 - 1283), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(52), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + '\065' + chr(48), 16825 - 16817)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'u'), '\144' + chr(101) + chr(0b11 + 0o140) + chr(0b1101111) + chr(0b1 + 0o143) + chr(0b1100101))(chr(0b1110101) + chr(0b1101110 + 0o6) + chr(102) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def TGF9LP1k6UZI(gE4TFTcol2kh): class PhfM_DQD6LVI(hZriZHGNaIGA): IVhD9AyJgRmz = xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a^\x19\x95\x1b\xca\x88[\xfe\xc1\x17\xa8w\xf0L\xfey'), chr(100) + chr(1958 - 1857) + '\143' + '\x6f' + chr(0b1000000 + 0o44) + chr(0b110010 + 0o63))(chr(0b1110101) + chr(0b101110 + 0o106) + chr(2316 - 2214) + chr(0b1011 + 0o42) + chr(0b110011 + 0o5)) y86ts49o1wfk = GX_CowVcgv49({}) def XAyOfTTJiKNo(oVre8I6UXc3b, jAj7S20Ct06o): raise yROw0HWBk0Qc(gE4TFTcol2kh) return PhfM_DQD6LVI
ray-project/ray	python/ray/tune/tune.py	run	def run(run_or_experiment, name=None, stop=None, config=None, resources_per_trial=None, num_samples=1, local_dir=None, upload_dir=None, trial_name_creator=None, loggers=None, sync_function=None, checkpoint_freq=0, checkpoint_at_end=False, export_formats=None, max_failures=3, restore=None, search_alg=None, scheduler=None, with_server=False, server_port=TuneServer.DEFAULT_PORT, verbose=2, resume=False, queue_trials=False, reuse_actors=False, trial_executor=None, raise_on_failed_trial=True): """Executes training. Args: run_or_experiment (function\|class\|str\|Experiment): If function\|class\|str, this is the algorithm or model to train. This may refer to the name of a built-on algorithm (e.g. RLLib's DQN or PPO), a user-defined trainable function or class, or the string identifier of a trainable function or class registered in the tune registry. If Experiment, then Tune will execute training based on Experiment.spec. name (str): Name of experiment. stop (dict): The stopping criteria. The keys may be any field in the return result of 'train()', whichever is reached first. Defaults to empty dict. config (dict): Algorithm-specific configuration for Tune variant generation (e.g. env, hyperparams). Defaults to empty dict. Custom search algorithms may ignore this. resources_per_trial (dict): Machine resources to allocate per trial, e.g. ``{"cpu": 64, "gpu": 8}``. Note that GPUs will not be assigned unless you specify them here. Defaults to 1 CPU and 0 GPUs in ``Trainable.default_resource_request()``. num_samples (int): Number of times to sample from the hyperparameter space. Defaults to 1. If `grid_search` is provided as an argument, the grid will be repeated `num_samples` of times. local_dir (str): Local dir to save training results to. Defaults to ``~/ray_results``. upload_dir (str): Optional URI to sync training results to (e.g. ``s3://bucket``). trial_name_creator (func): Optional function for generating the trial string representation. loggers (list): List of logger creators to be used with each Trial. If None, defaults to ray.tune.logger.DEFAULT_LOGGERS. See `ray/tune/logger.py`. sync_function (func\|str): Function for syncing the local_dir to upload_dir. If string, then it must be a string template for syncer to run. If not provided, the sync command defaults to standard S3 or gsutil sync comamnds. checkpoint_freq (int): How many training iterations between checkpoints. A value of 0 (default) disables checkpointing. checkpoint_at_end (bool): Whether to checkpoint at the end of the experiment regardless of the checkpoint_freq. Default is False. export_formats (list): List of formats that exported at the end of the experiment. Default is None. max_failures (int): Try to recover a trial from its last checkpoint at least this many times. Only applies if checkpointing is enabled. Setting to -1 will lead to infinite recovery retries. Defaults to 3. restore (str): Path to checkpoint. Only makes sense to set if running 1 trial. Defaults to None. search_alg (SearchAlgorithm): Search Algorithm. Defaults to BasicVariantGenerator. scheduler (TrialScheduler): Scheduler for executing the experiment. Choose among FIFO (default), MedianStopping, AsyncHyperBand, and HyperBand. with_server (bool): Starts a background Tune server. Needed for using the Client API. server_port (int): Port number for launching TuneServer. verbose (int): 0, 1, or 2. Verbosity mode. 0 = silent, 1 = only status updates, 2 = status and trial results. resume (bool\|"prompt"): If checkpoint exists, the experiment will resume from there. If resume is "prompt", Tune will prompt if checkpoint detected. queue_trials (bool): Whether to queue trials when the cluster does not currently have enough resources to launch one. This should be set to True when running on an autoscaling cluster to enable automatic scale-up. reuse_actors (bool): Whether to reuse actors between different trials when possible. This can drastically speed up experiments that start and stop actors often (e.g., PBT in time-multiplexing mode). This requires trials to have the same resource requirements. trial_executor (TrialExecutor): Manage the execution of trials. raise_on_failed_trial (bool): Raise TuneError if there exists failed trial (of ERROR state) when the experiments complete. Returns: List of Trial objects. Raises: TuneError if any trials failed and `raise_on_failed_trial` is True. Examples: >>> tune.run(mytrainable, scheduler=PopulationBasedTraining()) >>> tune.run(mytrainable, num_samples=5, reuse_actors=True) >>> tune.run( "PG", num_samples=5, config={ "env": "CartPole-v0", "lr": tune.sample_from(lambda _: np.random.rand()) } ) """ experiment = run_or_experiment if not isinstance(run_or_experiment, Experiment): experiment = Experiment( name, run_or_experiment, stop, config, resources_per_trial, num_samples, local_dir, upload_dir, trial_name_creator, loggers, sync_function, checkpoint_freq, checkpoint_at_end, export_formats, max_failures, restore) else: logger.debug("Ignoring some parameters passed into tune.run.") checkpoint_dir = _find_checkpoint_dir(experiment) should_restore = _prompt_restore(checkpoint_dir, resume) runner = None if should_restore: try: runner = TrialRunner.restore(checkpoint_dir, search_alg, scheduler, trial_executor) except Exception: logger.exception("Runner restore failed. Restarting experiment.") else: logger.info("Starting a new experiment.") if not runner: scheduler = scheduler or FIFOScheduler() search_alg = search_alg or BasicVariantGenerator() search_alg.add_configurations([experiment]) runner = TrialRunner( search_alg, scheduler=scheduler, metadata_checkpoint_dir=checkpoint_dir, launch_web_server=with_server, server_port=server_port, verbose=bool(verbose > 1), queue_trials=queue_trials, reuse_actors=reuse_actors, trial_executor=trial_executor) if verbose: print(runner.debug_string(max_debug=99999)) last_debug = 0 while not runner.is_finished(): runner.step() if time.time() - last_debug > DEBUG_PRINT_INTERVAL: if verbose: print(runner.debug_string()) last_debug = time.time() if verbose: print(runner.debug_string(max_debug=99999)) wait_for_log_sync() errored_trials = [] for trial in runner.get_trials(): if trial.status != Trial.TERMINATED: errored_trials += [trial] if errored_trials: if raise_on_failed_trial: raise TuneError("Trials did not complete", errored_trials) else: logger.error("Trials did not complete: %s", errored_trials) return runner.get_trials()	python	def run(run_or_experiment, name=None, stop=None, config=None, resources_per_trial=None, num_samples=1, local_dir=None, upload_dir=None, trial_name_creator=None, loggers=None, sync_function=None, checkpoint_freq=0, checkpoint_at_end=False, export_formats=None, max_failures=3, restore=None, search_alg=None, scheduler=None, with_server=False, server_port=TuneServer.DEFAULT_PORT, verbose=2, resume=False, queue_trials=False, reuse_actors=False, trial_executor=None, raise_on_failed_trial=True): """Executes training. Args: run_or_experiment (function\|class\|str\|Experiment): If function\|class\|str, this is the algorithm or model to train. This may refer to the name of a built-on algorithm (e.g. RLLib's DQN or PPO), a user-defined trainable function or class, or the string identifier of a trainable function or class registered in the tune registry. If Experiment, then Tune will execute training based on Experiment.spec. name (str): Name of experiment. stop (dict): The stopping criteria. The keys may be any field in the return result of 'train()', whichever is reached first. Defaults to empty dict. config (dict): Algorithm-specific configuration for Tune variant generation (e.g. env, hyperparams). Defaults to empty dict. Custom search algorithms may ignore this. resources_per_trial (dict): Machine resources to allocate per trial, e.g. ``{"cpu": 64, "gpu": 8}``. Note that GPUs will not be assigned unless you specify them here. Defaults to 1 CPU and 0 GPUs in ``Trainable.default_resource_request()``. num_samples (int): Number of times to sample from the hyperparameter space. Defaults to 1. If `grid_search` is provided as an argument, the grid will be repeated `num_samples` of times. local_dir (str): Local dir to save training results to. Defaults to ``~/ray_results``. upload_dir (str): Optional URI to sync training results to (e.g. ``s3://bucket``). trial_name_creator (func): Optional function for generating the trial string representation. loggers (list): List of logger creators to be used with each Trial. If None, defaults to ray.tune.logger.DEFAULT_LOGGERS. See `ray/tune/logger.py`. sync_function (func\|str): Function for syncing the local_dir to upload_dir. If string, then it must be a string template for syncer to run. If not provided, the sync command defaults to standard S3 or gsutil sync comamnds. checkpoint_freq (int): How many training iterations between checkpoints. A value of 0 (default) disables checkpointing. checkpoint_at_end (bool): Whether to checkpoint at the end of the experiment regardless of the checkpoint_freq. Default is False. export_formats (list): List of formats that exported at the end of the experiment. Default is None. max_failures (int): Try to recover a trial from its last checkpoint at least this many times. Only applies if checkpointing is enabled. Setting to -1 will lead to infinite recovery retries. Defaults to 3. restore (str): Path to checkpoint. Only makes sense to set if running 1 trial. Defaults to None. search_alg (SearchAlgorithm): Search Algorithm. Defaults to BasicVariantGenerator. scheduler (TrialScheduler): Scheduler for executing the experiment. Choose among FIFO (default), MedianStopping, AsyncHyperBand, and HyperBand. with_server (bool): Starts a background Tune server. Needed for using the Client API. server_port (int): Port number for launching TuneServer. verbose (int): 0, 1, or 2. Verbosity mode. 0 = silent, 1 = only status updates, 2 = status and trial results. resume (bool\|"prompt"): If checkpoint exists, the experiment will resume from there. If resume is "prompt", Tune will prompt if checkpoint detected. queue_trials (bool): Whether to queue trials when the cluster does not currently have enough resources to launch one. This should be set to True when running on an autoscaling cluster to enable automatic scale-up. reuse_actors (bool): Whether to reuse actors between different trials when possible. This can drastically speed up experiments that start and stop actors often (e.g., PBT in time-multiplexing mode). This requires trials to have the same resource requirements. trial_executor (TrialExecutor): Manage the execution of trials. raise_on_failed_trial (bool): Raise TuneError if there exists failed trial (of ERROR state) when the experiments complete. Returns: List of Trial objects. Raises: TuneError if any trials failed and `raise_on_failed_trial` is True. Examples: >>> tune.run(mytrainable, scheduler=PopulationBasedTraining()) >>> tune.run(mytrainable, num_samples=5, reuse_actors=True) >>> tune.run( "PG", num_samples=5, config={ "env": "CartPole-v0", "lr": tune.sample_from(lambda _: np.random.rand()) } ) """ experiment = run_or_experiment if not isinstance(run_or_experiment, Experiment): experiment = Experiment( name, run_or_experiment, stop, config, resources_per_trial, num_samples, local_dir, upload_dir, trial_name_creator, loggers, sync_function, checkpoint_freq, checkpoint_at_end, export_formats, max_failures, restore) else: logger.debug("Ignoring some parameters passed into tune.run.") checkpoint_dir = _find_checkpoint_dir(experiment) should_restore = _prompt_restore(checkpoint_dir, resume) runner = None if should_restore: try: runner = TrialRunner.restore(checkpoint_dir, search_alg, scheduler, trial_executor) except Exception: logger.exception("Runner restore failed. Restarting experiment.") else: logger.info("Starting a new experiment.") if not runner: scheduler = scheduler or FIFOScheduler() search_alg = search_alg or BasicVariantGenerator() search_alg.add_configurations([experiment]) runner = TrialRunner( search_alg, scheduler=scheduler, metadata_checkpoint_dir=checkpoint_dir, launch_web_server=with_server, server_port=server_port, verbose=bool(verbose > 1), queue_trials=queue_trials, reuse_actors=reuse_actors, trial_executor=trial_executor) if verbose: print(runner.debug_string(max_debug=99999)) last_debug = 0 while not runner.is_finished(): runner.step() if time.time() - last_debug > DEBUG_PRINT_INTERVAL: if verbose: print(runner.debug_string()) last_debug = time.time() if verbose: print(runner.debug_string(max_debug=99999)) wait_for_log_sync() errored_trials = [] for trial in runner.get_trials(): if trial.status != Trial.TERMINATED: errored_trials += [trial] if errored_trials: if raise_on_failed_trial: raise TuneError("Trials did not complete", errored_trials) else: logger.error("Trials did not complete: %s", errored_trials) return runner.get_trials()	[ "def", "run", "(", "run_or_experiment", ",", "name", "=", "None", ",", "stop", "=", "None", ",", "config", "=", "None", ",", "resources_per_trial", "=", "None", ",", "num_samples", "=", "1", ",", "local_dir", "=", "None", ",", "upload_dir", "=", "None", ",", "trial_name_creator", "=", "None", ",", "loggers", "=", "None", ",", "sync_function", "=", "None", ",", "checkpoint_freq", "=", "0", ",", "checkpoint_at_end", "=", "False", ",", "export_formats", "=", "None", ",", "max_failures", "=", "3", ",", "restore", "=", "None", ",", "search_alg", "=", "None", ",", "scheduler", "=", "None", ",", "with_server", "=", "False", ",", "server_port", "=", "TuneServer", ".", "DEFAULT_PORT", ",", "verbose", "=", "2", ",", "resume", "=", "False", ",", "queue_trials", "=", "False", ",", "reuse_actors", "=", "False", ",", "trial_executor", "=", "None", ",", "raise_on_failed_trial", "=", "True", ")", ":", "experiment", "=", "run_or_experiment", "if", "not", "isinstance", "(", "run_or_experiment", ",", "Experiment", ")", ":", "experiment", "=", "Experiment", "(", "name", ",", "run_or_experiment", ",", "stop", ",", "config", ",", "resources_per_trial", ",", "num_samples", ",", "local_dir", ",", "upload_dir", ",", "trial_name_creator", ",", "loggers", ",", "sync_function", ",", "checkpoint_freq", ",", "checkpoint_at_end", ",", "export_formats", ",", "max_failures", ",", "restore", ")", "else", ":", "logger", ".", "debug", "(", "\"Ignoring some parameters passed into tune.run.\"", ")", "checkpoint_dir", "=", "_find_checkpoint_dir", "(", "experiment", ")", "should_restore", "=", "_prompt_restore", "(", "checkpoint_dir", ",", "resume", ")", "runner", "=", "None", "if", "should_restore", ":", "try", ":", "runner", "=", "TrialRunner", ".", "restore", "(", "checkpoint_dir", ",", "search_alg", ",", "scheduler", ",", "trial_executor", ")", "except", "Exception", ":", "logger", ".", "exception", "(", "\"Runner restore failed. Restarting experiment.\"", ")", "else", ":", "logger", ".", "info", "(", "\"Starting a new experiment.\"", ")", "if", "not", "runner", ":", "scheduler", "=", "scheduler", "or", "FIFOScheduler", "(", ")", "search_alg", "=", "search_alg", "or", "BasicVariantGenerator", "(", ")", "search_alg", ".", "add_configurations", "(", "[", "experiment", "]", ")", "runner", "=", "TrialRunner", "(", "search_alg", ",", "scheduler", "=", "scheduler", ",", "metadata_checkpoint_dir", "=", "checkpoint_dir", ",", "launch_web_server", "=", "with_server", ",", "server_port", "=", "server_port", ",", "verbose", "=", "bool", "(", "verbose", ">", "1", ")", ",", "queue_trials", "=", "queue_trials", ",", "reuse_actors", "=", "reuse_actors", ",", "trial_executor", "=", "trial_executor", ")", "if", "verbose", ":", "print", "(", "runner", ".", "debug_string", "(", "max_debug", "=", "99999", ")", ")", "last_debug", "=", "0", "while", "not", "runner", ".", "is_finished", "(", ")", ":", "runner", ".", "step", "(", ")", "if", "time", ".", "time", "(", ")", "-", "last_debug", ">", "DEBUG_PRINT_INTERVAL", ":", "if", "verbose", ":", "print", "(", "runner", ".", "debug_string", "(", ")", ")", "last_debug", "=", "time", ".", "time", "(", ")", "if", "verbose", ":", "print", "(", "runner", ".", "debug_string", "(", "max_debug", "=", "99999", ")", ")", "wait_for_log_sync", "(", ")", "errored_trials", "=", "[", "]", "for", "trial", "in", "runner", ".", "get_trials", "(", ")", ":", "if", "trial", ".", "status", "!=", "Trial", ".", "TERMINATED", ":", "errored_trials", "+=", "[", "trial", "]", "if", "errored_trials", ":", "if", "raise_on_failed_trial", ":", "raise", "TuneError", "(", "\"Trials did not complete\"", ",", "errored_trials", ")", "else", ":", "logger", ".", "error", "(", "\"Trials did not complete: %s\"", ",", "errored_trials", ")", "return", "runner", ".", "get_trials", "(", ")" ]	Executes training. Args: run_or_experiment (function\|class\|str\|Experiment): If function\|class\|str, this is the algorithm or model to train. This may refer to the name of a built-on algorithm (e.g. RLLib's DQN or PPO), a user-defined trainable function or class, or the string identifier of a trainable function or class registered in the tune registry. If Experiment, then Tune will execute training based on Experiment.spec. name (str): Name of experiment. stop (dict): The stopping criteria. The keys may be any field in the return result of 'train()', whichever is reached first. Defaults to empty dict. config (dict): Algorithm-specific configuration for Tune variant generation (e.g. env, hyperparams). Defaults to empty dict. Custom search algorithms may ignore this. resources_per_trial (dict): Machine resources to allocate per trial, e.g. ``{"cpu": 64, "gpu": 8}``. Note that GPUs will not be assigned unless you specify them here. Defaults to 1 CPU and 0 GPUs in ``Trainable.default_resource_request()``. num_samples (int): Number of times to sample from the hyperparameter space. Defaults to 1. If `grid_search` is provided as an argument, the grid will be repeated `num_samples` of times. local_dir (str): Local dir to save training results to. Defaults to ``~/ray_results``. upload_dir (str): Optional URI to sync training results to (e.g. ``s3://bucket``). trial_name_creator (func): Optional function for generating the trial string representation. loggers (list): List of logger creators to be used with each Trial. If None, defaults to ray.tune.logger.DEFAULT_LOGGERS. See `ray/tune/logger.py`. sync_function (func\|str): Function for syncing the local_dir to upload_dir. If string, then it must be a string template for syncer to run. If not provided, the sync command defaults to standard S3 or gsutil sync comamnds. checkpoint_freq (int): How many training iterations between checkpoints. A value of 0 (default) disables checkpointing. checkpoint_at_end (bool): Whether to checkpoint at the end of the experiment regardless of the checkpoint_freq. Default is False. export_formats (list): List of formats that exported at the end of the experiment. Default is None. max_failures (int): Try to recover a trial from its last checkpoint at least this many times. Only applies if checkpointing is enabled. Setting to -1 will lead to infinite recovery retries. Defaults to 3. restore (str): Path to checkpoint. Only makes sense to set if running 1 trial. Defaults to None. search_alg (SearchAlgorithm): Search Algorithm. Defaults to BasicVariantGenerator. scheduler (TrialScheduler): Scheduler for executing the experiment. Choose among FIFO (default), MedianStopping, AsyncHyperBand, and HyperBand. with_server (bool): Starts a background Tune server. Needed for using the Client API. server_port (int): Port number for launching TuneServer. verbose (int): 0, 1, or 2. Verbosity mode. 0 = silent, 1 = only status updates, 2 = status and trial results. resume (bool\|"prompt"): If checkpoint exists, the experiment will resume from there. If resume is "prompt", Tune will prompt if checkpoint detected. queue_trials (bool): Whether to queue trials when the cluster does not currently have enough resources to launch one. This should be set to True when running on an autoscaling cluster to enable automatic scale-up. reuse_actors (bool): Whether to reuse actors between different trials when possible. This can drastically speed up experiments that start and stop actors often (e.g., PBT in time-multiplexing mode). This requires trials to have the same resource requirements. trial_executor (TrialExecutor): Manage the execution of trials. raise_on_failed_trial (bool): Raise TuneError if there exists failed trial (of ERROR state) when the experiments complete. Returns: List of Trial objects. Raises: TuneError if any trials failed and `raise_on_failed_trial` is True. Examples: >>> tune.run(mytrainable, scheduler=PopulationBasedTraining()) >>> tune.run(mytrainable, num_samples=5, reuse_actors=True) >>> tune.run( "PG", num_samples=5, config={ "env": "CartPole-v0", "lr": tune.sample_from(lambda _: np.random.rand()) } )	[ "Executes", "training", "." ]	4eade036a0505e244c976f36aaa2d64386b5129b	https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/tune.py#L68-L257	train	Runs training on the given object.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + chr(964 - 914) + chr(570 - 517) + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b1100 + 0o52) + '\060', 62032 - 62024), ehT0Px3KOsy9(chr(48) + chr(7090 - 6979) + chr(719 - 668) + chr(0b110010) + chr(0b11001 + 0o30), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9204 - 9093) + chr(51) + chr(55) + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(391 - 340) + chr(620 - 567), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(111) + chr(50) + chr(52) + chr(0b111 + 0o53), 0o10), ehT0Px3KOsy9('\060' + chr(5159 - 5048) + chr(51) + chr(51) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(442 - 394) + chr(1092 - 981) + '\x31' + '\x32' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101110 + 0o6) + chr(476 - 425), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\x30' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10301 - 10190) + '\x37' + chr(959 - 910), 0o10), ehT0Px3KOsy9('\060' + chr(5738 - 5627) + '\x32' + chr(55) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1011 + 0o50) + chr(51) + chr(0b110011 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(378 - 325) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(2047 - 1997) + '\062' + chr(0b101 + 0o55), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(5804 - 5693) + chr(52) + chr(0b1 + 0o62), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b100010 + 0o23) + chr(2064 - 2014), ord("\x08")), ehT0Px3KOsy9(chr(1997 - 1949) + '\157' + chr(2183 - 2134) + chr(0b1011 + 0o53) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(54) + '\x34', 0b1000), ehT0Px3KOsy9(chr(2071 - 2023) + '\157' + '\062' + chr(2596 - 2541) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b11 + 0o62) + chr(1140 - 1091), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(423 - 372) + chr(117 - 62) + '\x31', 0b1000), ehT0Px3KOsy9(chr(1325 - 1277) + chr(8891 - 8780) + chr(51) + '\x31' + chr(54), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(295 - 245) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\067' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1760 - 1705) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(3582 - 3471) + chr(0b101001 + 0o12) + chr(0b110010) + chr(54), 18756 - 18748), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001010 + 0o45) + chr(51) + chr(1332 - 1280) + chr(0b11 + 0o61), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b110000) + chr(0b101000 + 0o12), 0b1000), ehT0Px3KOsy9(chr(1742 - 1694) + chr(111) + chr(49) + chr(0b10001 + 0o43) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(106 - 58) + '\x6f' + '\063' + '\060' + '\065', 0b1000), ehT0Px3KOsy9(chr(1241 - 1193) + '\157' + chr(0b1010 + 0o47) + chr(48) + chr(53), 45915 - 45907), ehT0Px3KOsy9('\060' + chr(111) + chr(756 - 707) + chr(1127 - 1074) + chr(1454 - 1403), 0o10), ehT0Px3KOsy9(chr(1894 - 1846) + chr(6655 - 6544) + '\x33' + '\066' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110110) + chr(1569 - 1514), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(49) + chr(2889 - 2834) + chr(2167 - 2113), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + '\061' + chr(0b101000 + 0o11) + chr(48), 48013 - 48005), ehT0Px3KOsy9(chr(1825 - 1777) + chr(111) + '\061' + chr(0b1111 + 0o44) + chr(0b101110 + 0o4), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2134 - 2086) + chr(11776 - 11665) + '\065' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x86'), chr(100) + chr(0b0 + 0o145) + chr(99) + chr(111) + '\144' + chr(0b101000 + 0o75))(chr(12214 - 12097) + '\164' + chr(2125 - 2023) + chr(45) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def sgt5BU61bwZ2(mP8EFreVeqsm, AIvJRzLdDfgF=None, i64wROPYXl1w=None, jAj7S20Ct06o=None, nrBuxehde9Kq=None, Wuetkhsbidt0=ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + '\061', 0b1000), PST98qIdTvdq=None, svUXkKK9_3nz=None, ozl4I4VU4oud=None, vHsKxy567UE7=None, qwRC2sskxKqP=None, VH01xaqkaIrW=ehT0Px3KOsy9(chr(48) + '\x6f' + chr(48), 0b1000), N7PVYxb_IRqB=ehT0Px3KOsy9(chr(48) + '\157' + chr(48), 8), WT69SGes9Wye=None, m3yFJxLxut8C=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101000 + 0o7) + '\x33', 0b1000), Z4YDSWFz1Gfu=None, fIbsZ3zBHaEj=None, FLNyWKRNUDUy=None, TtWRFFenjmWF=ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + '\060', 8), dg7yVJ_36OSb=xafqLlk3kkUe(nukEB5y75Goz, xafqLlk3kkUe(SXOLrMavuUCe(b'\xecu\x97\xbb\x88\xee\x8c\rFl\x15m'), chr(2653 - 2553) + chr(1208 - 1107) + chr(666 - 567) + chr(0b1101111) + chr(100) + chr(0b1011 + 0o132))(chr(1365 - 1248) + chr(116) + '\x66' + chr(0b100011 + 0o12) + chr(2466 - 2410))), j5jgrsOGZdZ4=ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100100 + 0o16), ord("\x08")), nZ_kXXKO_LOJ=ehT0Px3KOsy9(chr(0b110000) + chr(0b110010 + 0o75) + chr(0b110000), 8), qTT_DZCG5IXZ=ehT0Px3KOsy9('\060' + chr(0b1100100 + 0o13) + chr(48), 8), MDjdSWcjddxK=ehT0Px3KOsy9('\060' + chr(7214 - 7103) + chr(0b110000), 8), K1HK4TzxrUIX=None, gERM1wutKu8T=ehT0Px3KOsy9('\x30' + chr(111) + chr(49), 8)): LeATV1fChSRY = mP8EFreVeqsm if not PlSM16l2KDPD(mP8EFreVeqsm, c51y3b9MeDw6): LeATV1fChSRY = c51y3b9MeDw6(AIvJRzLdDfgF, mP8EFreVeqsm, i64wROPYXl1w, jAj7S20Ct06o, nrBuxehde9Kq, Wuetkhsbidt0, PST98qIdTvdq, svUXkKK9_3nz, ozl4I4VU4oud, vHsKxy567UE7, qwRC2sskxKqP, VH01xaqkaIrW, N7PVYxb_IRqB, WT69SGes9Wye, m3yFJxLxut8C, Z4YDSWFz1Gfu) else: xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xccU\xb3\x8f\xba'), '\x64' + '\145' + '\143' + chr(0b1000101 + 0o52) + chr(0b1001001 + 0o33) + chr(0b1100101))(chr(0b1000001 + 0o64) + chr(116) + chr(10237 - 10135) + '\x2d' + chr(0b10 + 0o66)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1W\xbf\x95\xaf\xcb\xb656P(T\xd9\xfe]\xf3`B\x07\x16@\xdd\x1b\x8a\xee\xe6\xdaK\xa5\x81&F\xac+\x1f\x98\x97\n=4\xcd\x1e\xa3\x8f\xb3\x8c'), '\x64' + chr(0b1001111 + 0o26) + '\143' + chr(0b1000001 + 0o56) + chr(4050 - 3950) + chr(0b1001101 + 0o30))(chr(0b1101000 + 0o15) + '\164' + chr(102) + chr(0b101101) + chr(56))) ZYf3E0RxYOo_ = uknW_dlnnWBn(LeATV1fChSRY) YNUMY1xaF561 = LMdgscrdcVoE(ZYf3E0RxYOo_, nZ_kXXKO_LOJ) tFE9_yPvqrzD = None if YNUMY1xaF561: try: tFE9_yPvqrzD = sB10QLf3fZFA.restore(ZYf3E0RxYOo_, fIbsZ3zBHaEj, FLNyWKRNUDUy, K1HK4TzxrUIX) except jLmadlzMdunT: xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcdH\xb2\x9f\xad\xd6\xb1=x'), chr(4757 - 4657) + '\x65' + chr(0b1100011) + '\x6f' + chr(100) + chr(5574 - 5473))(chr(117) + '\x74' + chr(0b10010 + 0o124) + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfaE\xbf\x94\xb8\xd0\xf8 sP3V\xce\xbb\r\xf4sJ\x06\x16P\x96I\xab\xab\xe5\xcfY\xa4\x90+\x08\xa2e\x0e\x8f\xc7\x1b:3\xc5U\xbf\x8e\xf3'), '\144' + '\x65' + chr(99) + chr(3805 - 3694) + chr(0b100001 + 0o103) + chr(0b11100 + 0o111))(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b1 + 0o67))) else: xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb\x07\x99\x82\xa8\xc1\xbfe\|O\x1dR'), '\144' + chr(9123 - 9022) + '\143' + '\157' + chr(0b0 + 0o144) + '\145')(chr(0b110 + 0o157) + chr(0b110101 + 0o77) + chr(0b1100110) + '\x2d' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfbD\xb0\x88\xa9\xcb\xb656BgW\xd9\xa9\r\xf7jS\x0f\x01]\xd5\x0c\x97\xba\xb8'), '\x64' + '\145' + chr(99) + '\157' + chr(100) + '\145')('\165' + chr(12408 - 12292) + chr(0b1100110) + chr(79 - 34) + chr(0b111000))) if not tFE9_yPvqrzD: FLNyWKRNUDUy = FLNyWKRNUDUy or Y7NmwHThT_Ze() fIbsZ3zBHaEj = fIbsZ3zBHaEj or HNnLCDI1o9y1() xafqLlk3kkUe(fIbsZ3zBHaEj, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9T\xb5\xa5\xbe\xcd\xb64\x7fD2K\xdd\xaaD\xfd\|P'), chr(0b1000 + 0o134) + chr(101) + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))(chr(117) + '\164' + '\x66' + chr(0b101101) + chr(0b111000)))([LeATV1fChSRY]) tFE9_yPvqrzD = sB10QLf3fZFA(fIbsZ3zBHaEj, scheduler=FLNyWKRNUDUy, metadata_checkpoint_dir=ZYf3E0RxYOo_, launch_web_server=TtWRFFenjmWF, server_port=dg7yVJ_36OSb, verbose=WbBjf8Y7v9VN(j5jgrsOGZdZ4 > ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001), 8)), queue_trials=qTT_DZCG5IXZ, reuse_actors=MDjdSWcjddxK, trial_executor=K1HK4TzxrUIX) if j5jgrsOGZdZ4: zLUzGokYBM2Z(xafqLlk3kkUe(tFE9_yPvqrzD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xccU\xb3\x8f\xba\xfd\xab&dJ)^'), chr(0b1100100) + chr(7688 - 7587) + chr(0b1100011) + chr(0b0 + 0o157) + chr(100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(9131 - 9029) + chr(0b101101) + chr(1890 - 1834)))(max_debug=ehT0Px3KOsy9(chr(0b110000) + chr(368 - 257) + chr(0b100101 + 0o16) + chr(48) + chr(2547 - 2496) + '\062' + chr(0b110011) + '\x37', 0b1000))) ERwV0JZGutKr = ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(0b110 + 0o52), 8) while not xafqLlk3kkUe(tFE9_yPvqrzD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1C\x8e\x9c\xb4\xcc\xb1!~F#'), '\x64' + chr(0b11111 + 0o106) + '\143' + chr(111) + '\x64' + chr(101))('\x75' + chr(0b1001001 + 0o53) + chr(102) + chr(45) + chr(0b111000)))(): xafqLlk3kkUe(tFE9_yPvqrzD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3t\xa4\xbc\xae\xe3\xb0\x17wW$l'), '\144' + chr(0b111011 + 0o52) + '\x63' + chr(4048 - 3937) + '\x64' + chr(0b1100101))('\x75' + '\164' + '\146' + chr(0b101101) + chr(0b111000)))() if xafqLlk3kkUe(ltvhPP4VhXre, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdcY\xbc\x9f'), chr(100) + chr(101) + chr(99) + chr(0b1101111) + chr(100) + chr(9265 - 9164))(chr(0b1110101) + chr(0b1011000 + 0o34) + chr(102) + '\x2d' + chr(0b111000)))() - ERwV0JZGutKr > UT_d4JA0MI7x: if j5jgrsOGZdZ4: zLUzGokYBM2Z(xafqLlk3kkUe(tFE9_yPvqrzD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xccU\xb3\x8f\xba\xfd\xab&dJ)^'), '\x64' + '\x65' + chr(99) + chr(0b1101111) + chr(100) + chr(4600 - 4499))('\x75' + '\x74' + chr(0b1100110) + '\055' + chr(0b1001 + 0o57)))()) ERwV0JZGutKr = ltvhPP4VhXre.time() if j5jgrsOGZdZ4: zLUzGokYBM2Z(xafqLlk3kkUe(tFE9_yPvqrzD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xccU\xb3\x8f\xba\xfd\xab&dJ)^'), chr(0b1100100) + chr(8864 - 8763) + chr(99) + chr(3746 - 3635) + chr(0b1100100) + '\145')(chr(0b11 + 0o162) + chr(0b1110100) + chr(1338 - 1236) + '\055' + chr(0b11100 + 0o34)))(max_debug=ehT0Px3KOsy9('\x30' + chr(0b10011 + 0o134) + chr(1014 - 963) + chr(0b101000 + 0o10) + chr(0b101011 + 0o10) + chr(0b110010) + chr(51) + chr(0b10110 + 0o41), 8))) dBMjnMuBe9SF() DA5CKVlX_CeO = [] for Alvsa0ue91Fo in xafqLlk3kkUe(tFE9_yPvqrzD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcfU\xa5\xa5\xa9\xd0\xb13zP'), chr(9155 - 9055) + chr(4420 - 4319) + '\x63' + '\157' + chr(100) + '\145')(chr(11638 - 11521) + '\164' + chr(0b1000101 + 0o41) + chr(0b101101) + '\070'))(): if xafqLlk3kkUe(Alvsa0ue91Fo, xafqLlk3kkUe(SXOLrMavuUCe(b'\xder\xa2\xb7\x8a\xea\xec5Wf!@'), '\x64' + chr(0b11011 + 0o112) + '\143' + chr(0b110001 + 0o76) + '\144' + chr(101))(chr(0b1000001 + 0o64) + '\164' + chr(102) + '\055' + chr(56))) != xafqLlk3kkUe(bKgNCjeVNupv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfcu\x83\xb7\x94\xec\x99\x06Sg'), '\144' + '\145' + chr(99) + chr(111) + '\x64' + '\x65')(chr(0b101100 + 0o111) + '\x74' + chr(102) + chr(1199 - 1154) + '\070')): DA5CKVlX_CeO += [Alvsa0ue91Fo] if DA5CKVlX_CeO: if gERM1wutKu8T: raise HJKwRlaB772i(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfcB\xb8\x9b\xb1\xd1\xf86\x7fGgW\xd3\xaa\r\xf1}N\x1a\x1fQ\xcc\x0c'), '\144' + chr(6826 - 6725) + chr(99) + chr(3377 - 3266) + chr(0b1100100) + chr(539 - 438))(chr(0b1011 + 0o152) + '\164' + chr(102) + chr(0b100 + 0o51) + chr(2457 - 2401)), DA5CKVlX_CeO) else: xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b"\xede\xb5\xaa\xbc\xd6\x97\x01'T?\t"), '\144' + chr(101) + chr(6796 - 6697) + '\x6f' + chr(3857 - 3757) + chr(0b1010001 + 0o24))('\165' + chr(5776 - 5660) + chr(4474 - 4372) + chr(0b101001 + 0o4) + chr(901 - 845)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfcB\xb8\x9b\xb1\xd1\xf86\x7fGgW\xd3\xaa\r\xf1}N\x1a\x1fQ\xcc\x0c\xc3\xee\xb3\xc8'), chr(750 - 650) + chr(8189 - 8088) + chr(2452 - 2353) + chr(0b1100101 + 0o12) + chr(728 - 628) + '\145')('\165' + chr(3895 - 3779) + chr(102) + chr(1521 - 1476) + '\x38'), DA5CKVlX_CeO) return xafqLlk3kkUe(tFE9_yPvqrzD, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcfU\xa5\xa5\xa9\xd0\xb13zP'), chr(0b1100100) + chr(7334 - 7233) + chr(99) + '\157' + chr(0b101000 + 0o74) + '\x65')('\165' + '\164' + '\x66' + '\x2d' + chr(0b111000)))()
ray-project/ray	python/ray/tune/tune.py	run_experiments	def run_experiments(experiments, search_alg=None, scheduler=None, with_server=False, server_port=TuneServer.DEFAULT_PORT, verbose=2, resume=False, queue_trials=False, reuse_actors=False, trial_executor=None, raise_on_failed_trial=True): """Runs and blocks until all trials finish. Examples: >>> experiment_spec = Experiment("experiment", my_func) >>> run_experiments(experiments=experiment_spec) >>> experiment_spec = {"experiment": {"run": my_func}} >>> run_experiments(experiments=experiment_spec) >>> run_experiments( >>> experiments=experiment_spec, >>> scheduler=MedianStoppingRule(...)) >>> run_experiments( >>> experiments=experiment_spec, >>> search_alg=SearchAlgorithm(), >>> scheduler=MedianStoppingRule(...)) Returns: List of Trial objects, holding data for each executed trial. """ # This is important to do this here # because it schematize the experiments # and it conducts the implicit registration. experiments = convert_to_experiment_list(experiments) trials = [] for exp in experiments: trials += run( exp, search_alg=search_alg, scheduler=scheduler, with_server=with_server, server_port=server_port, verbose=verbose, resume=resume, queue_trials=queue_trials, reuse_actors=reuse_actors, trial_executor=trial_executor, raise_on_failed_trial=raise_on_failed_trial) return trials	python	def run_experiments(experiments, search_alg=None, scheduler=None, with_server=False, server_port=TuneServer.DEFAULT_PORT, verbose=2, resume=False, queue_trials=False, reuse_actors=False, trial_executor=None, raise_on_failed_trial=True): """Runs and blocks until all trials finish. Examples: >>> experiment_spec = Experiment("experiment", my_func) >>> run_experiments(experiments=experiment_spec) >>> experiment_spec = {"experiment": {"run": my_func}} >>> run_experiments(experiments=experiment_spec) >>> run_experiments( >>> experiments=experiment_spec, >>> scheduler=MedianStoppingRule(...)) >>> run_experiments( >>> experiments=experiment_spec, >>> search_alg=SearchAlgorithm(), >>> scheduler=MedianStoppingRule(...)) Returns: List of Trial objects, holding data for each executed trial. """ # This is important to do this here # because it schematize the experiments # and it conducts the implicit registration. experiments = convert_to_experiment_list(experiments) trials = [] for exp in experiments: trials += run( exp, search_alg=search_alg, scheduler=scheduler, with_server=with_server, server_port=server_port, verbose=verbose, resume=resume, queue_trials=queue_trials, reuse_actors=reuse_actors, trial_executor=trial_executor, raise_on_failed_trial=raise_on_failed_trial) return trials	[ "def", "run_experiments", "(", "experiments", ",", "search_alg", "=", "None", ",", "scheduler", "=", "None", ",", "with_server", "=", "False", ",", "server_port", "=", "TuneServer", ".", "DEFAULT_PORT", ",", "verbose", "=", "2", ",", "resume", "=", "False", ",", "queue_trials", "=", "False", ",", "reuse_actors", "=", "False", ",", "trial_executor", "=", "None", ",", "raise_on_failed_trial", "=", "True", ")", ":", "# This is important to do this here", "# because it schematize the experiments", "# and it conducts the implicit registration.", "experiments", "=", "convert_to_experiment_list", "(", "experiments", ")", "trials", "=", "[", "]", "for", "exp", "in", "experiments", ":", "trials", "+=", "run", "(", "exp", ",", "search_alg", "=", "search_alg", ",", "scheduler", "=", "scheduler", ",", "with_server", "=", "with_server", ",", "server_port", "=", "server_port", ",", "verbose", "=", "verbose", ",", "resume", "=", "resume", ",", "queue_trials", "=", "queue_trials", ",", "reuse_actors", "=", "reuse_actors", ",", "trial_executor", "=", "trial_executor", ",", "raise_on_failed_trial", "=", "raise_on_failed_trial", ")", "return", "trials" ]	Runs and blocks until all trials finish. Examples: >>> experiment_spec = Experiment("experiment", my_func) >>> run_experiments(experiments=experiment_spec) >>> experiment_spec = {"experiment": {"run": my_func}} >>> run_experiments(experiments=experiment_spec) >>> run_experiments( >>> experiments=experiment_spec, >>> scheduler=MedianStoppingRule(...)) >>> run_experiments( >>> experiments=experiment_spec, >>> search_alg=SearchAlgorithm(), >>> scheduler=MedianStoppingRule(...)) Returns: List of Trial objects, holding data for each executed trial.	[ "Runs", "and", "blocks", "until", "all", "trials", "finish", "." ]	4eade036a0505e244c976f36aaa2d64386b5129b	https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/tune.py#L260-L312	train	Runs and blocks until all trials finish.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\157' + '\061' + '\x31' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(12175 - 12064) + '\x31' + '\061' + chr(93 - 41), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(0b110 + 0o53) + '\x34' + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1992 - 1942) + chr(2528 - 2476) + chr(0b10111 + 0o32), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1154 - 1105) + chr(2242 - 2188) + chr(2058 - 2008), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b10 + 0o64), 41018 - 41010), ehT0Px3KOsy9(chr(629 - 581) + '\x6f' + '\x32' + '\063' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110010 + 0o75) + chr(50) + chr(483 - 431) + '\x31', 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1111 + 0o44) + chr(1877 - 1829) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(9625 - 9514) + chr(0b10111 + 0o33) + '\065' + '\x36', 0o10), ehT0Px3KOsy9(chr(1433 - 1385) + chr(0b101 + 0o152) + chr(50) + '\x36' + '\065', 33902 - 33894), ehT0Px3KOsy9(chr(1425 - 1377) + chr(0b1101111) + chr(0b100 + 0o55) + chr(2323 - 2269) + chr(0b100110 + 0o14), 8), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\067', 0o10), ehT0Px3KOsy9(chr(993 - 945) + chr(10471 - 10360) + chr(0b1111 + 0o43) + '\x31' + '\064', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(2056 - 2003) + '\x34', 0b1000), ehT0Px3KOsy9(chr(416 - 368) + chr(0b100100 + 0o113) + chr(0b101000 + 0o12) + chr(51) + chr(53), 47659 - 47651), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\063' + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\063' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(226 - 177) + '\065' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11100 + 0o26) + chr(0b110110) + chr(0b11110 + 0o23), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + '\067' + chr(1342 - 1293), 17876 - 17868), ehT0Px3KOsy9(chr(664 - 616) + '\x6f' + chr(2095 - 2045) + chr(0b101101 + 0o10), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(53) + chr(1579 - 1527), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(49), 48244 - 48236), ehT0Px3KOsy9(chr(383 - 335) + chr(0b1101111) + '\x34' + chr(979 - 929), 29202 - 29194), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b101101 + 0o11) + chr(0b1000 + 0o51), 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b101 + 0o152) + '\x33' + chr(51), 58558 - 58550), ehT0Px3KOsy9(chr(48) + chr(5280 - 5169) + '\062' + chr(0b110110) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\x33' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b110001) + '\063', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110010) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(7221 - 7110) + '\x33' + chr(676 - 622) + chr(50), 43602 - 43594), ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + chr(0b101110 + 0o5) + '\066', 8), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(6071 - 5960) + '\061' + chr(49) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\064', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(1555 - 1506) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(6855 - 6744) + chr(53) + '\x35', 0b1000), ehT0Px3KOsy9(chr(1355 - 1307) + chr(111) + chr(0b110001) + chr(796 - 745) + chr(0b10 + 0o61), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010110 + 0o31) + chr(1677 - 1627) + chr(0b11011 + 0o32) + chr(2805 - 2752), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(2070 - 2017) + chr(698 - 650), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'e'), chr(0b1000110 + 0o36) + chr(0b100101 + 0o100) + '\x63' + chr(111) + chr(0b1100100) + chr(8598 - 8497))('\x75' + chr(116) + '\x66' + '\x2d' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def qDP3B0fZ4fAz(SpbUAwSHCnfJ, fIbsZ3zBHaEj=None, FLNyWKRNUDUy=None, TtWRFFenjmWF=ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(0b110000), ord("\x08")), dg7yVJ_36OSb=xafqLlk3kkUe(nukEB5y75Goz, xafqLlk3kkUe(SXOLrMavuUCe(b"\x0f\t#\xe0'R\xcd\xfe\x95\xe1\xe7&"), '\144' + chr(6764 - 6663) + chr(0b1100011) + chr(0b1101111) + chr(0b111001 + 0o53) + chr(0b1100101))(chr(9173 - 9056) + chr(4777 - 4661) + chr(5291 - 5189) + '\055' + '\x38')), j5jgrsOGZdZ4=ehT0Px3KOsy9(chr(448 - 400) + chr(9731 - 9620) + chr(50), 63890 - 63882), nZ_kXXKO_LOJ=ehT0Px3KOsy9('\060' + chr(5494 - 5383) + '\060', 8), qTT_DZCG5IXZ=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000), 8), MDjdSWcjddxK=ehT0Px3KOsy9('\060' + chr(6039 - 5928) + chr(48), 8), K1HK4TzxrUIX=None, gERM1wutKu8T=ehT0Px3KOsy9('\060' + '\x6f' + chr(209 - 160), ord("\x08"))): SpbUAwSHCnfJ = w64M__EhNnyu(SpbUAwSHCnfJ) i1GKrIxxsZwp = [] for quvessij56om in SpbUAwSHCnfJ: i1GKrIxxsZwp += sgt5BU61bwZ2(quvessij56om, search_alg=fIbsZ3zBHaEj, scheduler=FLNyWKRNUDUy, with_server=TtWRFFenjmWF, server_port=dg7yVJ_36OSb, verbose=j5jgrsOGZdZ4, resume=nZ_kXXKO_LOJ, queue_trials=qTT_DZCG5IXZ, reuse_actors=MDjdSWcjddxK, trial_executor=K1HK4TzxrUIX, raise_on_failed_trial=gERM1wutKu8T) return i1GKrIxxsZwp
ray-project/ray	python/ray/experimental/streaming/communication.py	DataOutput._flush	def _flush(self, close=False): """Flushes remaining output records in the output queues to plasma. None is used as special type of record that is propagated from sources to sink to notify that the end of data in a stream. Attributes: close (bool): A flag denoting whether the channel should be also marked as 'closed' (True) or not (False) after flushing. """ for channel in self.forward_channels: if close is True: channel.queue.put_next(None) channel.queue._flush_writes() for channels in self.shuffle_channels: for channel in channels: if close is True: channel.queue.put_next(None) channel.queue._flush_writes() for channels in self.shuffle_key_channels: for channel in channels: if close is True: channel.queue.put_next(None) channel.queue._flush_writes() for channels in self.round_robin_channels: for channel in channels: if close is True: channel.queue.put_next(None) channel.queue._flush_writes()	python	def _flush(self, close=False): """Flushes remaining output records in the output queues to plasma. None is used as special type of record that is propagated from sources to sink to notify that the end of data in a stream. Attributes: close (bool): A flag denoting whether the channel should be also marked as 'closed' (True) or not (False) after flushing. """ for channel in self.forward_channels: if close is True: channel.queue.put_next(None) channel.queue._flush_writes() for channels in self.shuffle_channels: for channel in channels: if close is True: channel.queue.put_next(None) channel.queue._flush_writes() for channels in self.shuffle_key_channels: for channel in channels: if close is True: channel.queue.put_next(None) channel.queue._flush_writes() for channels in self.round_robin_channels: for channel in channels: if close is True: channel.queue.put_next(None) channel.queue._flush_writes()	[ "def", "_flush", "(", "self", ",", "close", "=", "False", ")", ":", "for", "channel", "in", "self", ".", "forward_channels", ":", "if", "close", "is", "True", ":", "channel", ".", "queue", ".", "put_next", "(", "None", ")", "channel", ".", "queue", ".", "_flush_writes", "(", ")", "for", "channels", "in", "self", ".", "shuffle_channels", ":", "for", "channel", "in", "channels", ":", "if", "close", "is", "True", ":", "channel", ".", "queue", ".", "put_next", "(", "None", ")", "channel", ".", "queue", ".", "_flush_writes", "(", ")", "for", "channels", "in", "self", ".", "shuffle_key_channels", ":", "for", "channel", "in", "channels", ":", "if", "close", "is", "True", ":", "channel", ".", "queue", ".", "put_next", "(", "None", ")", "channel", ".", "queue", ".", "_flush_writes", "(", ")", "for", "channels", "in", "self", ".", "round_robin_channels", ":", "for", "channel", "in", "channels", ":", "if", "close", "is", "True", ":", "channel", ".", "queue", ".", "put_next", "(", "None", ")", "channel", ".", "queue", ".", "_flush_writes", "(", ")" ]	Flushes remaining output records in the output queues to plasma. None is used as special type of record that is propagated from sources to sink to notify that the end of data in a stream. Attributes: close (bool): A flag denoting whether the channel should be also marked as 'closed' (True) or not (False) after flushing.	[ "Flushes", "remaining", "output", "records", "in", "the", "output", "queues", "to", "plasma", "." ]	4eade036a0505e244c976f36aaa2d64386b5129b	https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/experimental/streaming/communication.py#L205-L233	train	Flushes remaining output records in the output queues to plasma.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + '\x35' + chr(0b110010 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(49) + '\065' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(2238 - 2189) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8393 - 8282) + chr(1147 - 1097) + chr(48) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1495 - 1442), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(744 - 689), 24696 - 24688), ehT0Px3KOsy9(chr(1609 - 1561) + chr(111) + '\x32' + '\065' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\x31' + '\060', 50691 - 50683), ehT0Px3KOsy9(chr(1142 - 1094) + '\157' + '\x32' + chr(0b110000) + chr(48), 0o10), ehT0Px3KOsy9(chr(1236 - 1188) + chr(0b110111 + 0o70) + chr(0b110011) + chr(0b101001 + 0o10) + chr(56 - 6), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(1351 - 1240) + '\063' + '\064' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x37' + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010100 + 0o33) + chr(50) + chr(0b110001) + '\065', 15728 - 15720), ehT0Px3KOsy9(chr(87 - 39) + '\x6f' + chr(0b11101 + 0o31) + chr(2280 - 2229), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + chr(55), 37121 - 37113), ehT0Px3KOsy9(chr(0b110000) + chr(1031 - 920) + '\x33' + chr(0b110011) + chr(52), 11144 - 11136), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(53) + chr(49), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + chr(0b110010 + 0o1) + chr(53) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100 + 0o56) + chr(0b110100) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(53) + chr(1196 - 1147), 17770 - 17762), ehT0Px3KOsy9(chr(2130 - 2082) + chr(2838 - 2727) + '\x36' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(1745 - 1634) + chr(0b110011) + chr(2090 - 2040) + '\062', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(2083 - 2031) + chr(178 - 130), 0o10), ehT0Px3KOsy9('\x30' + chr(11541 - 11430) + chr(0b110101) + chr(0b1110 + 0o51), 8), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(0b110010) + chr(1154 - 1100) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(8762 - 8651) + '\x32' + '\x31' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(0b1100 + 0o45) + chr(0b10100 + 0o37) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(0b101100 + 0o7) + chr(54) + chr(731 - 679), 42366 - 42358), ehT0Px3KOsy9('\060' + chr(5685 - 5574) + chr(945 - 896) + '\x33' + chr(0b100111 + 0o17), 8861 - 8853), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001010 + 0o45) + '\061' + chr(935 - 885) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + '\061' + chr(0b110 + 0o53) + chr(55), 45193 - 45185), ehT0Px3KOsy9(chr(1456 - 1408) + '\x6f' + chr(1201 - 1151) + chr(0b101000 + 0o10) + chr(2307 - 2252), 8), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + '\x32' + chr(0b110110) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(51) + chr(0b11010 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + chr(52) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b110001) + chr(0b110101), 8942 - 8934), ehT0Px3KOsy9('\x30' + '\157' + chr(565 - 513) + chr(0b110001 + 0o0), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\063' + '\x35', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2057 - 2009) + '\157' + chr(0b101110 + 0o7) + chr(48), 40598 - 40590)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x04'), chr(0b1011011 + 0o11) + chr(5132 - 5031) + chr(99) + chr(5005 - 4894) + chr(0b1100100) + chr(1883 - 1782))(chr(0b1101110 + 0o7) + chr(0b1110100) + '\x66' + chr(1026 - 981) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def wdwH2jJCZtt3(oVre8I6UXc3b, MkcqzDT3iB5h=ehT0Px3KOsy9(chr(1329 - 1281) + '\157' + chr(222 - 174), 0o10)): for dT44mTcZ2_e6 in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'L\x06>\xf0de\xce\x97\xe3\xa2\x83P\xe3VC\xaf'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b1010 + 0o145) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + '\x38')): if MkcqzDT3iB5h is ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31', 8): xafqLlk3kkUe(dT44mTcZ2_e6.queue, xafqLlk3kkUe(SXOLrMavuUCe(b'Z\x1c8\xd8kr\xd2\xbc'), '\x64' + chr(101) + '\x63' + chr(0b1101111) + chr(100) + '\145')('\165' + '\x74' + '\x66' + '\055' + chr(0b11011 + 0o35)))(None) xafqLlk3kkUe(dT44mTcZ2_e6.queue, xafqLlk3kkUe(SXOLrMavuUCe(b'u\x0f \xf2v\x7f\xf5\xbf\xf2\xa3\x96[\xfe'), chr(8062 - 7962) + chr(0b11000 + 0o115) + chr(0b1100011) + chr(5749 - 5638) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b10110 + 0o136) + chr(9994 - 9892) + chr(0b0 + 0o55) + chr(389 - 333)))() for H2MQqAZeamNo in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'Y\x019\xe1c{\xcf\x97\xe3\xa2\x83P\xe3VC\xaf'), chr(100) + chr(1532 - 1431) + chr(7832 - 7733) + '\x6f' + chr(0b1011 + 0o131) + chr(5825 - 5724))('\165' + chr(0b1110100) + chr(102) + chr(0b1100 + 0o41) + chr(0b111000))): for dT44mTcZ2_e6 in H2MQqAZeamNo: if MkcqzDT3iB5h is ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(0b110001), 8): xafqLlk3kkUe(dT44mTcZ2_e6.queue, xafqLlk3kkUe(SXOLrMavuUCe(b'Z\x1c8\xd8kr\xd2\xbc'), chr(3203 - 3103) + chr(0b111011 + 0o52) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b110110 + 0o77) + chr(3530 - 3414) + '\x66' + chr(0b101101) + chr(0b111000)))(None) xafqLlk3kkUe(dT44mTcZ2_e6.queue, xafqLlk3kkUe(SXOLrMavuUCe(b'u\x0f \xf2v\x7f\xf5\xbf\xf2\xa3\x96[\xfe'), chr(0b100011 + 0o101) + '\x65' + chr(99) + chr(346 - 235) + '\x64' + '\145')(chr(117) + '\x74' + '\146' + '\055' + '\x38'))() for H2MQqAZeamNo in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'Y\x019\xe1c{\xcf\x97\xeb\xaf\x9ba\xee[N\xb2\x87d\x83\xd1'), chr(0b1100100) + chr(0b1100101) + chr(2766 - 2667) + '\157' + '\x64' + '\x65')(chr(117) + chr(0b1110100) + '\146' + chr(45) + chr(56))): for dT44mTcZ2_e6 in H2MQqAZeamNo: if MkcqzDT3iB5h is ehT0Px3KOsy9('\x30' + chr(6953 - 6842) + '\061', 8): xafqLlk3kkUe(dT44mTcZ2_e6.queue, xafqLlk3kkUe(SXOLrMavuUCe(b'Z\x1c8\xd8kr\xd2\xbc'), chr(5391 - 5291) + '\x65' + chr(6565 - 6466) + chr(4472 - 4361) + chr(0b1000110 + 0o36) + '\x65')(chr(6045 - 5928) + chr(0b110100 + 0o100) + chr(102) + '\055' + '\x38'))(None) xafqLlk3kkUe(dT44mTcZ2_e6.queue, xafqLlk3kkUe(SXOLrMavuUCe(b'u\x0f \xf2v\x7f\xf5\xbf\xf2\xa3\x96[\xfe'), '\144' + chr(1906 - 1805) + '\x63' + '\157' + chr(0b111010 + 0o52) + '\145')(chr(0b1011101 + 0o30) + '\164' + chr(1952 - 1850) + chr(45) + chr(2262 - 2206)))() for H2MQqAZeamNo in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'X\x069\xe9aH\xd8\xa7\xe2\xa3\x8ca\xee[N\xb2\x87d\x83\xd1'), chr(0b1100100) + chr(101) + chr(3104 - 3005) + chr(11111 - 11000) + '\144' + chr(0b1100101))(chr(3076 - 2959) + '\x74' + chr(0b1100110) + '\x2d' + chr(1048 - 992))): for dT44mTcZ2_e6 in H2MQqAZeamNo: if MkcqzDT3iB5h is ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1011011 + 0o24) + chr(0b110001), 8): xafqLlk3kkUe(dT44mTcZ2_e6.queue, xafqLlk3kkUe(SXOLrMavuUCe(b'Z\x1c8\xd8kr\xd2\xbc'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(9640 - 9529) + chr(0b1010101 + 0o17) + chr(0b100010 + 0o103))(chr(0b1101101 + 0o10) + chr(116) + '\146' + chr(0b101101) + chr(0b100 + 0o64)))(None) xafqLlk3kkUe(dT44mTcZ2_e6.queue, xafqLlk3kkUe(SXOLrMavuUCe(b'u\x0f \xf2v\x7f\xf5\xbf\xf2\xa3\x96[\xfe'), '\144' + chr(0b110011 + 0o62) + chr(0b1011 + 0o130) + '\157' + chr(0b1100100) + chr(9138 - 9037))('\x75' + chr(116) + chr(0b110011 + 0o63) + '\055' + '\070'))()
ray-project/ray	python/ray/rllib/models/preprocessors.py	get_preprocessor	def get_preprocessor(space): """Returns an appropriate preprocessor class for the given space.""" legacy_patch_shapes(space) obs_shape = space.shape if isinstance(space, gym.spaces.Discrete): preprocessor = OneHotPreprocessor elif obs_shape == ATARI_OBS_SHAPE: preprocessor = GenericPixelPreprocessor elif obs_shape == ATARI_RAM_OBS_SHAPE: preprocessor = AtariRamPreprocessor elif isinstance(space, gym.spaces.Tuple): preprocessor = TupleFlatteningPreprocessor elif isinstance(space, gym.spaces.Dict): preprocessor = DictFlatteningPreprocessor else: preprocessor = NoPreprocessor return preprocessor	python	def get_preprocessor(space): """Returns an appropriate preprocessor class for the given space.""" legacy_patch_shapes(space) obs_shape = space.shape if isinstance(space, gym.spaces.Discrete): preprocessor = OneHotPreprocessor elif obs_shape == ATARI_OBS_SHAPE: preprocessor = GenericPixelPreprocessor elif obs_shape == ATARI_RAM_OBS_SHAPE: preprocessor = AtariRamPreprocessor elif isinstance(space, gym.spaces.Tuple): preprocessor = TupleFlatteningPreprocessor elif isinstance(space, gym.spaces.Dict): preprocessor = DictFlatteningPreprocessor else: preprocessor = NoPreprocessor return preprocessor	[ "def", "get_preprocessor", "(", "space", ")", ":", "legacy_patch_shapes", "(", "space", ")", "obs_shape", "=", "space", ".", "shape", "if", "isinstance", "(", "space", ",", "gym", ".", "spaces", ".", "Discrete", ")", ":", "preprocessor", "=", "OneHotPreprocessor", "elif", "obs_shape", "==", "ATARI_OBS_SHAPE", ":", "preprocessor", "=", "GenericPixelPreprocessor", "elif", "obs_shape", "==", "ATARI_RAM_OBS_SHAPE", ":", "preprocessor", "=", "AtariRamPreprocessor", "elif", "isinstance", "(", "space", ",", "gym", ".", "spaces", ".", "Tuple", ")", ":", "preprocessor", "=", "TupleFlatteningPreprocessor", "elif", "isinstance", "(", "space", ",", "gym", ".", "spaces", ".", "Dict", ")", ":", "preprocessor", "=", "DictFlatteningPreprocessor", "else", ":", "preprocessor", "=", "NoPreprocessor", "return", "preprocessor" ]	Returns an appropriate preprocessor class for the given space.	[ "Returns", "an", "appropriate", "preprocessor", "class", "for", "the", "given", "space", "." ]	4eade036a0505e244c976f36aaa2d64386b5129b	https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/rllib/models/preprocessors.py#L242-L261	train	Returns an appropriate preprocessor class for the given space.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11101 + 0o26) + '\063' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1197 - 1149) + chr(0b1010110 + 0o31) + chr(0b110010) + chr(50) + chr(55), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(2132 - 2081) + chr(52) + '\063', 41887 - 41879), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11110 + 0o24) + '\x31' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\x33' + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(2856 - 2802) + chr(0b110000), 33236 - 33228), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(2278 - 2167) + chr(809 - 758) + chr(1072 - 1022) + chr(0b101000 + 0o12), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + '\062' + chr(0b100110 + 0o14) + chr(0b11101 + 0o32), 8), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + chr(0b110010) + chr(2656 - 2603) + chr(0b110001), 19873 - 19865), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\062' + chr(2599 - 2544), 0o10), ehT0Px3KOsy9(chr(934 - 886) + chr(0b111100 + 0o63) + chr(1829 - 1776) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3890 - 3779) + chr(51) + chr(0b1100 + 0o51) + chr(0b11 + 0o63), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b1001 + 0o50) + '\x30' + chr(1627 - 1579), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b1000 + 0o51) + '\066' + chr(0b0 + 0o61), 0b1000), ehT0Px3KOsy9(chr(1732 - 1684) + chr(0b110010 + 0o75) + chr(49) + '\065' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10846 - 10735) + chr(51) + '\x30' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110001 + 0o76) + chr(1002 - 953) + '\060' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(1323 - 1275) + chr(111) + chr(0b110010) + '\x32' + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11001 + 0o126) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b110100) + chr(0b10001 + 0o43), 0o10), ehT0Px3KOsy9(chr(1344 - 1296) + chr(0b110110 + 0o71) + chr(2307 - 2257) + chr(101 - 52), 0b1000), ehT0Px3KOsy9(chr(1496 - 1448) + '\157' + chr(50) + chr(51) + '\065', 34649 - 34641), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b110100) + '\065', 0b1000), ehT0Px3KOsy9(chr(796 - 748) + '\x6f' + chr(0b100110 + 0o14) + '\060' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1170 - 1120) + chr(52) + '\x37', 64582 - 64574), ehT0Px3KOsy9('\060' + '\x6f' + chr(1214 - 1164) + chr(50) + chr(0b11011 + 0o30), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + chr(1308 - 1259) + chr(0b100111 + 0o14) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8050 - 7939) + chr(0b101011 + 0o7) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110110) + '\x32', 64759 - 64751), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b100 + 0o55), 8), ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + chr(50) + '\060' + chr(425 - 371), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000111 + 0o50) + '\x31' + chr(0b110001) + chr(54), 34288 - 34280), ehT0Px3KOsy9(chr(853 - 805) + '\157' + '\062' + chr(0b1001 + 0o47) + chr(55), 17203 - 17195), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31', 8), ehT0Px3KOsy9(chr(48) + chr(0b1000111 + 0o50) + chr(0b1111 + 0o44) + chr(2106 - 2051) + chr(799 - 748), 0o10), ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + chr(53) + '\062', 27444 - 27436), ehT0Px3KOsy9('\x30' + chr(10424 - 10313) + chr(238 - 188) + '\x32' + chr(55), 8), ehT0Px3KOsy9(chr(1669 - 1621) + '\157' + chr(0b110011) + '\x31', 38561 - 38553)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + chr(2237 - 2184) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2'), chr(0b1100011 + 0o1) + '\145' + chr(2254 - 2155) + '\157' + chr(0b100011 + 0o101) + '\145')(chr(0b1110101) + '\x74' + chr(0b1011011 + 0o13) + chr(45) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def obuaIVXXzXxF(C0i6x4Iha_GV): NbqoHm0SxawY(C0i6x4Iha_GV) ZOxGtswZWoAi = C0i6x4Iha_GV.nauYfLglTpcb if PlSM16l2KDPD(C0i6x4Iha_GV, xafqLlk3kkUe(mZyhk1NGHEBF.spaces, xafqLlk3kkUe(SXOLrMavuUCe(b'\x98\xfe\x90\xe8\xab\x95\xa6K'), chr(0b1100100) + '\145' + chr(99) + '\x6f' + chr(100) + '\x65')(chr(0b1001001 + 0o54) + chr(7139 - 7023) + chr(7749 - 7647) + chr(0b10101 + 0o30) + chr(0b111000)))): TnpnR_tnb9yE = iusnwVXaBJB4 elif ZOxGtswZWoAi == cSMRZEb_a8oT: TnpnR_tnb9yE = h04y9L2MGtSL elif ZOxGtswZWoAi == FGGwNbumUKVb: TnpnR_tnb9yE = LApRch77LpbQ elif PlSM16l2KDPD(C0i6x4Iha_GV, xafqLlk3kkUe(mZyhk1NGHEBF.spaces, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88\xe2\x93\xe7\xbc'), chr(100) + '\145' + '\143' + '\157' + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b10101 + 0o43)))): TnpnR_tnb9yE = RMkYRlNFSd3H elif PlSM16l2KDPD(C0i6x4Iha_GV, xafqLlk3kkUe(mZyhk1NGHEBF.spaces, xafqLlk3kkUe(SXOLrMavuUCe(b'\x98\xfe\x80\xff'), chr(3063 - 2963) + chr(8844 - 8743) + '\x63' + chr(111) + chr(100) + chr(101))(chr(4738 - 4621) + chr(116) + chr(3105 - 3003) + '\x2d' + chr(56)))): TnpnR_tnb9yE = bi_XKJBNpB1i else: TnpnR_tnb9yE = htdNjOlgOtqQ return TnpnR_tnb9yE
ray-project/ray	python/ray/rllib/models/preprocessors.py	legacy_patch_shapes	def legacy_patch_shapes(space): """Assigns shapes to spaces that don't have shapes. This is only needed for older gym versions that don't set shapes properly for Tuple and Discrete spaces. """ if not hasattr(space, "shape"): if isinstance(space, gym.spaces.Discrete): space.shape = () elif isinstance(space, gym.spaces.Tuple): shapes = [] for s in space.spaces: shape = legacy_patch_shapes(s) shapes.append(shape) space.shape = tuple(shapes) return space.shape	python	def legacy_patch_shapes(space): """Assigns shapes to spaces that don't have shapes. This is only needed for older gym versions that don't set shapes properly for Tuple and Discrete spaces. """ if not hasattr(space, "shape"): if isinstance(space, gym.spaces.Discrete): space.shape = () elif isinstance(space, gym.spaces.Tuple): shapes = [] for s in space.spaces: shape = legacy_patch_shapes(s) shapes.append(shape) space.shape = tuple(shapes) return space.shape	[ "def", "legacy_patch_shapes", "(", "space", ")", ":", "if", "not", "hasattr", "(", "space", ",", "\"shape\"", ")", ":", "if", "isinstance", "(", "space", ",", "gym", ".", "spaces", ".", "Discrete", ")", ":", "space", ".", "shape", "=", "(", ")", "elif", "isinstance", "(", "space", ",", "gym", ".", "spaces", ".", "Tuple", ")", ":", "shapes", "=", "[", "]", "for", "s", "in", "space", ".", "spaces", ":", "shape", "=", "legacy_patch_shapes", "(", "s", ")", "shapes", ".", "append", "(", "shape", ")", "space", ".", "shape", "=", "tuple", "(", "shapes", ")", "return", "space", ".", "shape" ]	Assigns shapes to spaces that don't have shapes. This is only needed for older gym versions that don't set shapes properly for Tuple and Discrete spaces.	[ "Assigns", "shapes", "to", "spaces", "that", "don", "t", "have", "shapes", "." ]	4eade036a0505e244c976f36aaa2d64386b5129b	https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/rllib/models/preprocessors.py#L264-L281	train	Assigns shapes to spaces that don t have shapes.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\065' + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(62 - 12) + chr(55) + chr(0b111 + 0o53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1101 + 0o46) + chr(54) + chr(210 - 160), 0o10), ehT0Px3KOsy9(chr(48) + chr(4079 - 3968) + '\062' + '\066' + chr(2895 - 2841), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5539 - 5428) + chr(49) + '\062' + chr(54), 16992 - 16984), ehT0Px3KOsy9('\060' + chr(111) + chr(298 - 249) + '\062' + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(11871 - 11760) + chr(51) + chr(619 - 567) + chr(52), 0b1000), ehT0Px3KOsy9(chr(147 - 99) + '\x6f' + chr(0b11011 + 0o26) + '\065' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1259 - 1209) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(491 - 441) + chr(0b110001) + chr(0b1001 + 0o52), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b101100 + 0o6) + chr(0b110011) + '\067', 21582 - 21574), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b110000) + '\x33', 26146 - 26138), ehT0Px3KOsy9(chr(1513 - 1465) + '\x6f' + '\066' + chr(0b11110 + 0o27), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(54) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11101 + 0o122) + '\x33' + chr(0b100001 + 0o24), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\x32' + chr(0b11111 + 0o21), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(366 - 317) + chr(132 - 84) + chr(393 - 345), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x37' + chr(1135 - 1082), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b110000) + chr(0b100100 + 0o21), 49872 - 49864), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(744 - 690) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + chr(0b110011) + chr(50) + chr(0b110000), 23654 - 23646), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\x32' + '\x30', 8), ehT0Px3KOsy9(chr(48) + chr(9951 - 9840) + chr(0b110011) + '\x34' + chr(0b100111 + 0o13), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5981 - 5870) + chr(55) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(53) + chr(0b110001), 5051 - 5043), ehT0Px3KOsy9('\x30' + chr(0b1100111 + 0o10) + chr(0b1111 + 0o44) + chr(0b101 + 0o55) + '\062', 50008 - 50000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b110001) + chr(1034 - 986), ord("\x08")), ehT0Px3KOsy9(chr(807 - 759) + '\157' + '\x31' + chr(53) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001111 + 0o40) + chr(0b110011) + '\065' + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101 + 0o142) + '\063' + '\065' + chr(1782 - 1727), 8), ehT0Px3KOsy9(chr(2245 - 2197) + chr(0b1101111) + chr(50) + '\067' + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(8763 - 8652) + '\x32' + '\067' + '\x32', 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(53) + chr(0b101 + 0o53), 0o10), ehT0Px3KOsy9(chr(2220 - 2172) + chr(0b1101111) + chr(52) + chr(0b100111 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1001110 + 0o41) + chr(0b100101 + 0o20) + chr(986 - 938), 47330 - 47322), ehT0Px3KOsy9(chr(495 - 447) + chr(0b1101101 + 0o2) + chr(51) + chr(2665 - 2613), 64264 - 64256), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(1096 - 1048) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1828 - 1778) + chr(48) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + chr(0b100 + 0o56) + '\x30' + chr(2137 - 2084), 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(1856 - 1802) + '\060', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(0b110101) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x02'), chr(100) + chr(8476 - 8375) + chr(3399 - 3300) + '\x6f' + '\x64' + chr(0b1100101))(chr(117) + '\x74' + chr(440 - 338) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def NbqoHm0SxawY(C0i6x4Iha_GV): if not lot1PSoAwYhj(C0i6x4Iha_GV, xafqLlk3kkUe(SXOLrMavuUCe(b'_\xd2\x93\xc63'), chr(3899 - 3799) + '\145' + chr(0b1100011) + '\x6f' + '\x64' + chr(7613 - 7512))(chr(117) + '\164' + '\x66' + chr(0b11101 + 0o20) + '\x38')): if PlSM16l2KDPD(C0i6x4Iha_GV, xafqLlk3kkUe(mZyhk1NGHEBF.spaces, xafqLlk3kkUe(SXOLrMavuUCe(b'h\xd3\x81\xd5$0\x90\x0f'), chr(100) + '\x65' + '\143' + chr(785 - 674) + chr(100) + chr(3590 - 3489))(chr(117) + '\x74' + chr(102) + chr(948 - 903) + chr(0b10010 + 0o46)))): C0i6x4Iha_GV.nauYfLglTpcb = () elif PlSM16l2KDPD(C0i6x4Iha_GV, xafqLlk3kkUe(mZyhk1NGHEBF.spaces, xafqLlk3kkUe(SXOLrMavuUCe(b'x\xcf\x82\xda3'), '\x64' + chr(101) + chr(7473 - 7374) + '\x6f' + '\144' + chr(0b1100101))(chr(0b101011 + 0o112) + chr(9729 - 9613) + chr(0b1100110) + chr(0b101101) + '\x38'))): OVHEymXlQYjG = [] for vGrByMSYMp9h in xafqLlk3kkUe(C0i6x4Iha_GV, xafqLlk3kkUe(SXOLrMavuUCe(b'c\xf3\xc6\x867b\x8b[ \xdf\xd6\xee'), '\x64' + chr(101) + '\x63' + chr(0b110011 + 0o74) + chr(7020 - 6920) + chr(0b101001 + 0o74))('\x75' + chr(0b1010011 + 0o41) + '\146' + chr(0b10 + 0o53) + chr(0b10011 + 0o45))): nauYfLglTpcb = NbqoHm0SxawY(vGrByMSYMp9h) xafqLlk3kkUe(OVHEymXlQYjG, xafqLlk3kkUe(SXOLrMavuUCe(b'M\xca\x82\xd381'), '\144' + chr(2291 - 2190) + chr(99) + chr(111) + '\x64' + chr(101))('\x75' + chr(0b10110 + 0o136) + '\x66' + '\x2d' + '\x38'))(nauYfLglTpcb) C0i6x4Iha_GV.nauYfLglTpcb = KNyTy8rYcwji(OVHEymXlQYjG) return xafqLlk3kkUe(C0i6x4Iha_GV, xafqLlk3kkUe(SXOLrMavuUCe(b'B\xdb\x87\xef0\x19\x83\x06@\xfb\xfc\xe1'), chr(0b1001111 + 0o25) + chr(101) + '\143' + chr(0b10 + 0o155) + '\x64' + chr(0b110000 + 0o65))(chr(0b1001101 + 0o50) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b111000)))
ray-project/ray	python/ray/rllib/models/preprocessors.py	GenericPixelPreprocessor.transform	def transform(self, observation): """Downsamples images from (210, 160, 3) by the configured factor.""" self.check_shape(observation) scaled = observation[25:-25, :, :] if self._dim < 84: scaled = cv2.resize(scaled, (84, 84)) # OpenAI: Resize by half, then down to 42x42 (essentially mipmapping). # If we resize directly we lose pixels that, when mapped to 42x42, # aren't close enough to the pixel boundary. scaled = cv2.resize(scaled, (self._dim, self._dim)) if self._grayscale: scaled = scaled.mean(2) scaled = scaled.astype(np.float32) # Rescale needed for maintaining 1 channel scaled = np.reshape(scaled, [self._dim, self._dim, 1]) if self._zero_mean: scaled = (scaled - 128) / 128 else: scaled *= 1.0 / 255.0 return scaled	python	def transform(self, observation): """Downsamples images from (210, 160, 3) by the configured factor.""" self.check_shape(observation) scaled = observation[25:-25, :, :] if self._dim < 84: scaled = cv2.resize(scaled, (84, 84)) # OpenAI: Resize by half, then down to 42x42 (essentially mipmapping). # If we resize directly we lose pixels that, when mapped to 42x42, # aren't close enough to the pixel boundary. scaled = cv2.resize(scaled, (self._dim, self._dim)) if self._grayscale: scaled = scaled.mean(2) scaled = scaled.astype(np.float32) # Rescale needed for maintaining 1 channel scaled = np.reshape(scaled, [self._dim, self._dim, 1]) if self._zero_mean: scaled = (scaled - 128) / 128 else: scaled *= 1.0 / 255.0 return scaled	[ "def", "transform", "(", "self", ",", "observation", ")", ":", "self", ".", "check_shape", "(", "observation", ")", "scaled", "=", "observation", "[", "25", ":", "-", "25", ",", ":", ",", ":", "]", "if", "self", ".", "_dim", "<", "84", ":", "scaled", "=", "cv2", ".", "resize", "(", "scaled", ",", "(", "84", ",", "84", ")", ")", "# OpenAI: Resize by half, then down to 42x42 (essentially mipmapping).", "# If we resize directly we lose pixels that, when mapped to 42x42,", "# aren't close enough to the pixel boundary.", "scaled", "=", "cv2", ".", "resize", "(", "scaled", ",", "(", "self", ".", "_dim", ",", "self", ".", "_dim", ")", ")", "if", "self", ".", "_grayscale", ":", "scaled", "=", "scaled", ".", "mean", "(", "2", ")", "scaled", "=", "scaled", ".", "astype", "(", "np", ".", "float32", ")", "# Rescale needed for maintaining 1 channel", "scaled", "=", "np", ".", "reshape", "(", "scaled", ",", "[", "self", ".", "_dim", ",", "self", ".", "_dim", ",", "1", "]", ")", "if", "self", ".", "_zero_mean", ":", "scaled", "=", "(", "scaled", "-", "128", ")", "/", "128", "else", ":", "scaled", "*=", "1.0", "/", "255.0", "return", "scaled" ]	Downsamples images from (210, 160, 3) by the configured factor.	[ "Downsamples", "images", "from", "(", "210", "160", "3", ")", "by", "the", "configured", "factor", "." ]	4eade036a0505e244c976f36aaa2d64386b5129b	https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/rllib/models/preprocessors.py#L105-L124	train	Downsamples images from 210 160 3 by the configured factor.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110110 + 0o0), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1357 - 1307) + chr(352 - 297) + chr(1515 - 1466), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(2384 - 2335) + chr(0b100100 + 0o21) + chr(48), 47803 - 47795), ehT0Px3KOsy9(chr(48) + chr(8613 - 8502) + chr(0b110010) + '\065' + chr(1911 - 1862), ord("\x08")), ehT0Px3KOsy9(chr(429 - 381) + chr(0b1110 + 0o141) + chr(0b111 + 0o52) + chr(0b11000 + 0o32), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b110000) + '\064', 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + chr(1915 - 1864) + chr(0b110101) + '\065', 25402 - 25394), ehT0Px3KOsy9(chr(1277 - 1229) + chr(0b1101111) + chr(50) + '\x34' + chr(49), 25623 - 25615), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(1077 - 1027) + '\062', 0o10), ehT0Px3KOsy9(chr(212 - 164) + '\x6f' + chr(0b110010) + '\x35' + chr(1505 - 1457), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(2080 - 2029) + chr(52), 62573 - 62565), ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + chr(0b110 + 0o54) + chr(53) + chr(0b101001 + 0o13), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b110110) + '\x31', 29068 - 29060), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + '\061' + chr(1757 - 1703) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(1422 - 1372) + chr(0b110110) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + chr(0b10011 + 0o36) + chr(562 - 509), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(2547 - 2496) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10100 + 0o42) + '\063', 38036 - 38028), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b110110) + '\063', 10479 - 10471), ehT0Px3KOsy9('\x30' + chr(111) + chr(2099 - 2049) + '\x37' + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(0b110110) + '\x34', 8), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b110110 + 0o71) + chr(0b110010) + '\x35' + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\066' + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b101100 + 0o12) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + chr(0b110001) + '\x36' + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(2518 - 2463) + chr(0b110010), 42194 - 42186), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000010 + 0o55) + chr(0b110011) + chr(48) + '\x31', 26364 - 26356), ehT0Px3KOsy9('\x30' + chr(0b1000110 + 0o51) + chr(50) + chr(0b110101) + '\x30', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1100 + 0o47) + '\067' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + chr(50) + chr(1582 - 1529) + chr(1280 - 1230), 16224 - 16216), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x37' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(50) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101000 + 0o13) + chr(0b1 + 0o66) + '\064', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101000 + 0o11) + '\064' + chr(0b110111), 33767 - 33759), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101001 + 0o12) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1206 - 1154) + chr(51), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1000101 + 0o52) + chr(0b110101) + chr(1144 - 1096), 30020 - 30012)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b' '), chr(100) + chr(0b11110 + 0o107) + chr(0b1100011) + chr(8870 - 8759) + chr(0b100010 + 0o102) + '\x65')('\165' + '\164' + chr(0b1100110) + chr(1652 - 1607) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def ASNeIOBhze_M(oVre8I6UXc3b, mKQm526a9xSD): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'm\xd1w\x0b\xc2U7k\x8c\xd1\xf7'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b101010 + 0o73))(chr(0b1110101) + chr(0b10010 + 0o142) + chr(102) + chr(45) + chr(2678 - 2622)))(mKQm526a9xSD) pAyzjBVcmYDE = mKQm526a9xSD[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(812 - 761) + '\061', 0b1000):-ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + chr(0b110011) + chr(49), 8), :, :] if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'Q\xdd{\x05'), chr(100) + '\145' + '\x63' + chr(111) + chr(9200 - 9100) + chr(9856 - 9755))(chr(117) + chr(0b1110100) + '\146' + '\055' + chr(0b111000))) < ehT0Px3KOsy9(chr(48) + chr(5850 - 5739) + chr(0b110001) + chr(219 - 169) + chr(52), 46359 - 46351): pAyzjBVcmYDE = KJXrc9aHu3IJ.resize(pAyzjBVcmYDE, (ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(672 - 622) + chr(0b100 + 0o60), 8), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(1929 - 1880) + chr(1526 - 1476) + chr(0b110100), 8))) pAyzjBVcmYDE = KJXrc9aHu3IJ.resize(pAyzjBVcmYDE, (oVre8I6UXc3b._dim, oVre8I6UXc3b._dim)) if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"Q\xde`\t\xd0y'b\x81\xc4"), chr(0b10100 + 0o120) + chr(0b1100101) + chr(0b1010011 + 0o20) + '\x6f' + chr(100) + '\x65')('\x75' + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\x38')): pAyzjBVcmYDE = pAyzjBVcmYDE.aJhItC_Vawlw(ehT0Px3KOsy9('\060' + chr(285 - 174) + chr(0b110010), 0o10)) pAyzjBVcmYDE = pAyzjBVcmYDE.astype(WqUC3KWvYVup.float32) pAyzjBVcmYDE = WqUC3KWvYVup.reshape(pAyzjBVcmYDE, [oVre8I6UXc3b._dim, oVre8I6UXc3b._dim, ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31', ord("\x08"))]) if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'Q\xc3w\x1a\xc6U)f\x8c\xcf'), chr(100) + chr(1405 - 1304) + '\143' + '\157' + chr(0b1100011 + 0o1) + chr(0b1100101))(chr(13154 - 13037) + chr(0b100011 + 0o121) + chr(102) + chr(45) + chr(0b111000))): pAyzjBVcmYDE = (pAyzjBVcmYDE - ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110000) + chr(1495 - 1447), 0o10)) / ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\x30' + chr(48), 8) else: pAyzjBVcmYDE *= 1.0 / 255.0 return pAyzjBVcmYDE
ray-project/ray	python/ray/rllib/optimizers/aso_minibatch_buffer.py	MinibatchBuffer.get	def get(self): """Get a new batch from the internal ring buffer. Returns: buf: Data item saved from inqueue. released: True if the item is now removed from the ring buffer. """ if self.ttl[self.idx] <= 0: self.buffers[self.idx] = self.inqueue.get(timeout=300.0) self.ttl[self.idx] = self.cur_max_ttl if self.cur_max_ttl < self.max_ttl: self.cur_max_ttl += 1 buf = self.buffers[self.idx] self.ttl[self.idx] -= 1 released = self.ttl[self.idx] <= 0 if released: self.buffers[self.idx] = None self.idx = (self.idx + 1) % len(self.buffers) return buf, released	python	def get(self): """Get a new batch from the internal ring buffer. Returns: buf: Data item saved from inqueue. released: True if the item is now removed from the ring buffer. """ if self.ttl[self.idx] <= 0: self.buffers[self.idx] = self.inqueue.get(timeout=300.0) self.ttl[self.idx] = self.cur_max_ttl if self.cur_max_ttl < self.max_ttl: self.cur_max_ttl += 1 buf = self.buffers[self.idx] self.ttl[self.idx] -= 1 released = self.ttl[self.idx] <= 0 if released: self.buffers[self.idx] = None self.idx = (self.idx + 1) % len(self.buffers) return buf, released	[ "def", "get", "(", "self", ")", ":", "if", "self", ".", "ttl", "[", "self", ".", "idx", "]", "<=", "0", ":", "self", ".", "buffers", "[", "self", ".", "idx", "]", "=", "self", ".", "inqueue", ".", "get", "(", "timeout", "=", "300.0", ")", "self", ".", "ttl", "[", "self", ".", "idx", "]", "=", "self", ".", "cur_max_ttl", "if", "self", ".", "cur_max_ttl", "<", "self", ".", "max_ttl", ":", "self", ".", "cur_max_ttl", "+=", "1", "buf", "=", "self", ".", "buffers", "[", "self", ".", "idx", "]", "self", ".", "ttl", "[", "self", ".", "idx", "]", "-=", "1", "released", "=", "self", ".", "ttl", "[", "self", ".", "idx", "]", "<=", "0", "if", "released", ":", "self", ".", "buffers", "[", "self", ".", "idx", "]", "=", "None", "self", ".", "idx", "=", "(", "self", ".", "idx", "+", "1", ")", "%", "len", "(", "self", ".", "buffers", ")", "return", "buf", ",", "released" ]	Get a new batch from the internal ring buffer. Returns: buf: Data item saved from inqueue. released: True if the item is now removed from the ring buffer.	[ "Get", "a", "new", "batch", "from", "the", "internal", "ring", "buffer", "." ]	4eade036a0505e244c976f36aaa2d64386b5129b	https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/rllib/optimizers/aso_minibatch_buffer.py#L30-L48	train	Get a new batch from the internal ring buffer.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(0b0 + 0o64) + chr(0b101110 + 0o5), 46958 - 46950), ehT0Px3KOsy9('\x30' + chr(0b1001100 + 0o43) + chr(0b110010) + chr(52) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b10111 + 0o37) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(157 - 46) + '\066' + chr(55), 7929 - 7921), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(2397 - 2342) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011100 + 0o23) + chr(2351 - 2301) + '\066' + '\x30', 49215 - 49207), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b100110 + 0o111) + chr(51) + chr(49) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2139 - 2028) + chr(0b10110 + 0o33) + chr(0b110010) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + '\x32' + chr(906 - 857) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(470 - 422) + chr(0b110110 + 0o71) + '\x33' + '\x30' + chr(0b10010 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110101) + chr(0b110001 + 0o0), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(48), 54884 - 54876), ehT0Px3KOsy9('\060' + chr(6121 - 6010) + chr(1458 - 1405) + '\x36', 0o10), ehT0Px3KOsy9(chr(498 - 450) + chr(6399 - 6288) + chr(50) + chr(0b110010) + chr(2672 - 2618), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(53), 20737 - 20729), ehT0Px3KOsy9(chr(971 - 923) + chr(0b111111 + 0o60) + chr(0b101011 + 0o12) + chr(0b11110 + 0o26), 52832 - 52824), ehT0Px3KOsy9(chr(406 - 358) + chr(111) + chr(1455 - 1406) + chr(0b100 + 0o55) + '\x36', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(484 - 432) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(0b110110) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010011 + 0o34) + '\x37' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9601 - 9490) + chr(1892 - 1843) + chr(0b110101) + '\064', 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(0b110001) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(208 - 160) + chr(0b1000100 + 0o53) + '\061' + chr(110 - 60) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + chr(51) + '\x36' + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b110101) + chr(2074 - 2021), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + chr(0b100000 + 0o22) + chr(0b110100), 10498 - 10490), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(109 - 59) + chr(2262 - 2212), 56341 - 56333), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(52) + chr(0b110011), 5836 - 5828), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(210 - 161) + '\x37', 0o10), ehT0Px3KOsy9(chr(2073 - 2025) + '\x6f' + chr(1297 - 1247) + chr(1006 - 952) + chr(48), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\x35' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + '\x35' + '\x35', 3273 - 3265), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11101 + 0o24) + chr(1137 - 1083), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(49) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10101 + 0o132) + '\063' + chr(0b110000) + chr(912 - 862), 35250 - 35242), ehT0Px3KOsy9(chr(398 - 350) + chr(111) + chr(0b10001 + 0o40) + chr(1900 - 1845) + chr(48), 0o10), ehT0Px3KOsy9(chr(487 - 439) + chr(0b1101111) + '\x31' + '\060' + chr(1309 - 1260), 21353 - 21345), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(1724 - 1675), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(55) + '\066', 0b1000), ehT0Px3KOsy9(chr(631 - 583) + '\157' + chr(51) + '\067', 62754 - 62746)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(912 - 859) + chr(0b10 + 0o56), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\r'), chr(0b1100100) + chr(2297 - 2196) + '\143' + chr(2692 - 2581) + chr(0b1100100) + chr(1772 - 1671))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(278 - 233) + chr(56)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Q8b5UytA0vqH(oVre8I6UXc3b): if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'W\xd0\x18'), chr(0b1100100) + chr(0b1100101) + chr(0b1011001 + 0o12) + chr(1281 - 1170) + '\144' + chr(6400 - 6299))(chr(0b1110101) + '\164' + chr(9238 - 9136) + chr(1968 - 1923) + chr(0b100 + 0o64)))[xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'z\xc8\x05B\x8f\xe9\x88`\xc1\xa9BE'), '\144' + chr(6307 - 6206) + chr(9575 - 9476) + '\157' + chr(100) + chr(8897 - 8796))(chr(10586 - 10469) + '\x74' + chr(102) + chr(45) + chr(2228 - 2172)))] <= ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10001 + 0o37), 0o10): oVre8I6UXc3b.lcSLhVFbAfNB[oVre8I6UXc3b.YlqusYB6InkM] = oVre8I6UXc3b.inqueue.get(timeout=300.0) oVre8I6UXc3b.ObaEJbtFF7vu[oVre8I6UXc3b.YlqusYB6InkM] = oVre8I6UXc3b.cur_max_ttl if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'@\xd1\x06h\x91\xd1\xb2\t\xfc\xb3E'), chr(1596 - 1496) + chr(0b1100101) + chr(99) + '\157' + '\144' + chr(4655 - 4554))('\x75' + '\164' + chr(0b1010001 + 0o25) + chr(45) + chr(476 - 420))) < xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'N\xc5\x0ch\x88\xc4\xa6'), '\144' + '\145' + '\143' + chr(0b1101111) + chr(0b1100100) + '\145')('\x75' + chr(0b1010 + 0o152) + chr(0b1100110) + '\x2d' + chr(0b111000))): oVre8I6UXc3b.go9L9pBs89Xl += ehT0Px3KOsy9(chr(48) + chr(0b1100011 + 0o14) + chr(0b110001), ord("\x08")) b3K7dbpII422 = oVre8I6UXc3b.lcSLhVFbAfNB[oVre8I6UXc3b.YlqusYB6InkM] oVre8I6UXc3b.ObaEJbtFF7vu[oVre8I6UXc3b.YlqusYB6InkM] -= ehT0Px3KOsy9('\060' + chr(0b110100 + 0o73) + chr(49), 8) C_zOG80YCnN6 = oVre8I6UXc3b.ObaEJbtFF7vu[oVre8I6UXc3b.YlqusYB6InkM] <= ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100111 + 0o11), 8) if C_zOG80YCnN6: oVre8I6UXc3b.lcSLhVFbAfNB[oVre8I6UXc3b.YlqusYB6InkM] = None oVre8I6UXc3b.YlqusYB6InkM = (oVre8I6UXc3b.YlqusYB6InkM + ehT0Px3KOsy9(chr(2253 - 2205) + '\157' + '\061', 8)) % c2A0yzQpDQB3(oVre8I6UXc3b.lcSLhVFbAfNB) return (b3K7dbpII422, C_zOG80YCnN6)
ray-project/ray	python/ray/tune/trainable.py	Trainable.train	def train(self): """Runs one logical iteration of training. Subclasses should override ``_train()`` instead to return results. This class automatically fills the following fields in the result: `done` (bool): training is terminated. Filled only if not provided. `time_this_iter_s` (float): Time in seconds this iteration took to run. This may be overriden in order to override the system-computed time difference. `time_total_s` (float): Accumulated time in seconds for this entire experiment. `experiment_id` (str): Unique string identifier for this experiment. This id is preserved across checkpoint / restore calls. `training_iteration` (int): The index of this training iteration, e.g. call to train(). `pid` (str): The pid of the training process. `date` (str): A formatted date of when the result was processed. `timestamp` (str): A UNIX timestamp of when the result was processed. `hostname` (str): Hostname of the machine hosting the training process. `node_ip` (str): Node ip of the machine hosting the training process. Returns: A dict that describes training progress. """ start = time.time() result = self._train() assert isinstance(result, dict), "_train() needs to return a dict." # We do not modify internal state nor update this result if duplicate. if RESULT_DUPLICATE in result: return result result = result.copy() self._iteration += 1 self._iterations_since_restore += 1 if result.get(TIME_THIS_ITER_S) is not None: time_this_iter = result[TIME_THIS_ITER_S] else: time_this_iter = time.time() - start self._time_total += time_this_iter self._time_since_restore += time_this_iter result.setdefault(DONE, False) # self._timesteps_total should only be tracked if increments provided if result.get(TIMESTEPS_THIS_ITER) is not None: if self._timesteps_total is None: self._timesteps_total = 0 self._timesteps_total += result[TIMESTEPS_THIS_ITER] self._timesteps_since_restore += result[TIMESTEPS_THIS_ITER] # self._episodes_total should only be tracked if increments provided if result.get(EPISODES_THIS_ITER) is not None: if self._episodes_total is None: self._episodes_total = 0 self._episodes_total += result[EPISODES_THIS_ITER] # self._timesteps_total should not override user-provided total result.setdefault(TIMESTEPS_TOTAL, self._timesteps_total) result.setdefault(EPISODES_TOTAL, self._episodes_total) result.setdefault(TRAINING_ITERATION, self._iteration) # Provides auto-filled neg_mean_loss for avoiding regressions if result.get("mean_loss"): result.setdefault("neg_mean_loss", -result["mean_loss"]) now = datetime.today() result.update( experiment_id=self._experiment_id, date=now.strftime("%Y-%m-%d_%H-%M-%S"), timestamp=int(time.mktime(now.timetuple())), time_this_iter_s=time_this_iter, time_total_s=self._time_total, pid=os.getpid(), hostname=os.uname()[1], node_ip=self._local_ip, config=self.config, time_since_restore=self._time_since_restore, timesteps_since_restore=self._timesteps_since_restore, iterations_since_restore=self._iterations_since_restore) self._log_result(result) return result	python	def train(self): """Runs one logical iteration of training. Subclasses should override ``_train()`` instead to return results. This class automatically fills the following fields in the result: `done` (bool): training is terminated. Filled only if not provided. `time_this_iter_s` (float): Time in seconds this iteration took to run. This may be overriden in order to override the system-computed time difference. `time_total_s` (float): Accumulated time in seconds for this entire experiment. `experiment_id` (str): Unique string identifier for this experiment. This id is preserved across checkpoint / restore calls. `training_iteration` (int): The index of this training iteration, e.g. call to train(). `pid` (str): The pid of the training process. `date` (str): A formatted date of when the result was processed. `timestamp` (str): A UNIX timestamp of when the result was processed. `hostname` (str): Hostname of the machine hosting the training process. `node_ip` (str): Node ip of the machine hosting the training process. Returns: A dict that describes training progress. """ start = time.time() result = self._train() assert isinstance(result, dict), "_train() needs to return a dict." # We do not modify internal state nor update this result if duplicate. if RESULT_DUPLICATE in result: return result result = result.copy() self._iteration += 1 self._iterations_since_restore += 1 if result.get(TIME_THIS_ITER_S) is not None: time_this_iter = result[TIME_THIS_ITER_S] else: time_this_iter = time.time() - start self._time_total += time_this_iter self._time_since_restore += time_this_iter result.setdefault(DONE, False) # self._timesteps_total should only be tracked if increments provided if result.get(TIMESTEPS_THIS_ITER) is not None: if self._timesteps_total is None: self._timesteps_total = 0 self._timesteps_total += result[TIMESTEPS_THIS_ITER] self._timesteps_since_restore += result[TIMESTEPS_THIS_ITER] # self._episodes_total should only be tracked if increments provided if result.get(EPISODES_THIS_ITER) is not None: if self._episodes_total is None: self._episodes_total = 0 self._episodes_total += result[EPISODES_THIS_ITER] # self._timesteps_total should not override user-provided total result.setdefault(TIMESTEPS_TOTAL, self._timesteps_total) result.setdefault(EPISODES_TOTAL, self._episodes_total) result.setdefault(TRAINING_ITERATION, self._iteration) # Provides auto-filled neg_mean_loss for avoiding regressions if result.get("mean_loss"): result.setdefault("neg_mean_loss", -result["mean_loss"]) now = datetime.today() result.update( experiment_id=self._experiment_id, date=now.strftime("%Y-%m-%d_%H-%M-%S"), timestamp=int(time.mktime(now.timetuple())), time_this_iter_s=time_this_iter, time_total_s=self._time_total, pid=os.getpid(), hostname=os.uname()[1], node_ip=self._local_ip, config=self.config, time_since_restore=self._time_since_restore, timesteps_since_restore=self._timesteps_since_restore, iterations_since_restore=self._iterations_since_restore) self._log_result(result) return result	[ "def", "train", "(", "self", ")", ":", "start", "=", "time", ".", "time", "(", ")", "result", "=", "self", ".", "_train", "(", ")", "assert", "isinstance", "(", "result", ",", "dict", ")", ",", "\"_train() needs to return a dict.\"", "# We do not modify internal state nor update this result if duplicate.", "if", "RESULT_DUPLICATE", "in", "result", ":", "return", "result", "result", "=", "result", ".", "copy", "(", ")", "self", ".", "_iteration", "+=", "1", "self", ".", "_iterations_since_restore", "+=", "1", "if", "result", ".", "get", "(", "TIME_THIS_ITER_S", ")", "is", "not", "None", ":", "time_this_iter", "=", "result", "[", "TIME_THIS_ITER_S", "]", "else", ":", "time_this_iter", "=", "time", ".", "time", "(", ")", "-", "start", "self", ".", "_time_total", "+=", "time_this_iter", "self", ".", "_time_since_restore", "+=", "time_this_iter", "result", ".", "setdefault", "(", "DONE", ",", "False", ")", "# self._timesteps_total should only be tracked if increments provided", "if", "result", ".", "get", "(", "TIMESTEPS_THIS_ITER", ")", "is", "not", "None", ":", "if", "self", ".", "_timesteps_total", "is", "None", ":", "self", ".", "_timesteps_total", "=", "0", "self", ".", "_timesteps_total", "+=", "result", "[", "TIMESTEPS_THIS_ITER", "]", "self", ".", "_timesteps_since_restore", "+=", "result", "[", "TIMESTEPS_THIS_ITER", "]", "# self._episodes_total should only be tracked if increments provided", "if", "result", ".", "get", "(", "EPISODES_THIS_ITER", ")", "is", "not", "None", ":", "if", "self", ".", "_episodes_total", "is", "None", ":", "self", ".", "_episodes_total", "=", "0", "self", ".", "_episodes_total", "+=", "result", "[", "EPISODES_THIS_ITER", "]", "# self._timesteps_total should not override user-provided total", "result", ".", "setdefault", "(", "TIMESTEPS_TOTAL", ",", "self", ".", "_timesteps_total", ")", "result", ".", "setdefault", "(", "EPISODES_TOTAL", ",", "self", ".", "_episodes_total", ")", "result", ".", "setdefault", "(", "TRAINING_ITERATION", ",", "self", ".", "_iteration", ")", "# Provides auto-filled neg_mean_loss for avoiding regressions", "if", "result", ".", "get", "(", "\"mean_loss\"", ")", ":", "result", ".", "setdefault", "(", "\"neg_mean_loss\"", ",", "-", "result", "[", "\"mean_loss\"", "]", ")", "now", "=", "datetime", ".", "today", "(", ")", "result", ".", "update", "(", "experiment_id", "=", "self", ".", "_experiment_id", ",", "date", "=", "now", ".", "strftime", "(", "\"%Y-%m-%d_%H-%M-%S\"", ")", ",", "timestamp", "=", "int", "(", "time", ".", "mktime", "(", "now", ".", "timetuple", "(", ")", ")", ")", ",", "time_this_iter_s", "=", "time_this_iter", ",", "time_total_s", "=", "self", ".", "_time_total", ",", "pid", "=", "os", ".", "getpid", "(", ")", ",", "hostname", "=", "os", ".", "uname", "(", ")", "[", "1", "]", ",", "node_ip", "=", "self", ".", "_local_ip", ",", "config", "=", "self", ".", "config", ",", "time_since_restore", "=", "self", ".", "_time_since_restore", ",", "timesteps_since_restore", "=", "self", ".", "_timesteps_since_restore", ",", "iterations_since_restore", "=", "self", ".", "_iterations_since_restore", ")", "self", ".", "_log_result", "(", "result", ")", "return", "result" ]	Runs one logical iteration of training. Subclasses should override ``_train()`` instead to return results. This class automatically fills the following fields in the result: `done` (bool): training is terminated. Filled only if not provided. `time_this_iter_s` (float): Time in seconds this iteration took to run. This may be overriden in order to override the system-computed time difference. `time_total_s` (float): Accumulated time in seconds for this entire experiment. `experiment_id` (str): Unique string identifier for this experiment. This id is preserved across checkpoint / restore calls. `training_iteration` (int): The index of this training iteration, e.g. call to train(). `pid` (str): The pid of the training process. `date` (str): A formatted date of when the result was processed. `timestamp` (str): A UNIX timestamp of when the result was processed. `hostname` (str): Hostname of the machine hosting the training process. `node_ip` (str): Node ip of the machine hosting the training process. Returns: A dict that describes training progress.	[ "Runs", "one", "logical", "iteration", "of", "training", "." ]	4eade036a0505e244c976f36aaa2d64386b5129b	https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/trainable.py#L111-L211	train	Runs one logical iteration of training.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b101001 + 0o14) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10001 + 0o40) + chr(0b100011 + 0o21) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101100 + 0o3) + chr(1853 - 1803) + chr(0b110110) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\067' + '\x32', 0b1000), ehT0Px3KOsy9(chr(848 - 800) + chr(0b1101101 + 0o2) + '\061' + chr(0b110011) + '\x35', 50784 - 50776), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b110010 + 0o2) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + chr(51) + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(6699 - 6588) + chr(51) + chr(0b110101) + chr(1489 - 1439), 0b1000), ehT0Px3KOsy9(chr(496 - 448) + chr(0b1101111) + chr(49) + chr(847 - 797) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100011 + 0o17) + '\066' + chr(0b101111 + 0o7), 9459 - 9451), ehT0Px3KOsy9(chr(1559 - 1511) + chr(1712 - 1601) + chr(0b110010) + chr(49) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1003 - 954) + '\063' + chr(60 - 9), 0b1000), ehT0Px3KOsy9('\060' + chr(7752 - 7641) + '\062' + chr(493 - 440) + chr(0b10001 + 0o37), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + '\x33' + chr(0b1011 + 0o54), 48159 - 48151), ehT0Px3KOsy9(chr(1682 - 1634) + '\157' + chr(2093 - 2042) + chr(0b100001 + 0o17) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(479 - 428) + chr(0b110110) + chr(0b101111 + 0o1), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\x34' + chr(836 - 783), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\062' + '\x30', 19711 - 19703), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + '\062' + '\061' + chr(1082 - 1034), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(2730 - 2676) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(11006 - 10895) + chr(50) + '\x32', 14491 - 14483), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(0b100110 + 0o14) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(246 - 198) + chr(6659 - 6548) + chr(0b10 + 0o61) + '\064' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + '\060' + chr(0b110000), 27182 - 27174), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1000 + 0o51) + chr(128 - 77), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x34' + chr(0b10011 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100100 + 0o113) + chr(0b110010) + '\x31' + chr(48), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(1064 - 1014) + chr(50), 0b1000), ehT0Px3KOsy9(chr(957 - 909) + chr(0b1001011 + 0o44) + '\061' + chr(0b110001) + chr(1360 - 1305), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b110100), 35748 - 35740), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\x32' + chr(1128 - 1076), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(0b1001 + 0o50) + '\x31' + chr(0b110111), 8), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\064' + chr(0b1100 + 0o44), 0b1000), ehT0Px3KOsy9(chr(940 - 892) + chr(0b1101111) + '\x33' + chr(751 - 699) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6187 - 6076) + chr(0b110001) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(902 - 851) + chr(2443 - 2392) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(667 - 619) + chr(0b1010111 + 0o30) + chr(0b100010 + 0o21), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(54) + chr(0b101101 + 0o6), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(2094 - 2041) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x85'), chr(0b1100100) + chr(0b1001001 + 0o34) + chr(99) + '\157' + '\x64' + '\145')(chr(0b1110101) + chr(116) + chr(3500 - 3398) + chr(0b101101) + chr(0b100 + 0o64)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def e80gRioCjdat(oVre8I6UXc3b): avRbFsnfJxQj = ltvhPP4VhXre.time() ShZmEKfTkAOZ = oVre8I6UXc3b._train() assert PlSM16l2KDPD(ShZmEKfTkAOZ, wLqBDw8l0eIm), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x13v\xd0\x133N0\xca8\xd3\xe8?\xdb\xff\xb7\x9f\x85"\xed\x02ge\x88\xe0j\x00\xec;,h\xfa'), '\144' + '\145' + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(8277 - 8176))(chr(0b1110101) + '\164' + '\x66' + chr(45) + chr(56)) if CRVNe18V9Fz2 in ShZmEKfTkAOZ: return ShZmEKfTkAOZ ShZmEKfTkAOZ = ShZmEKfTkAOZ.igThHS4jwVsa() oVre8I6UXc3b.mFhHnWN8bXQT += ehT0Px3KOsy9(chr(1143 - 1095) + chr(0b1101111) + '\061', 0b1000) oVre8I6UXc3b.ARLKxq6pV1Xm += ehT0Px3KOsy9('\060' + chr(111) + '\x31', 8) if xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\x02p'), chr(4983 - 4883) + chr(0b1100101) + '\x63' + '\157' + '\x64' + chr(0b100100 + 0o101))(chr(0b1100010 + 0o23) + chr(116) + '\x66' + chr(637 - 592) + '\070'))(hkTDnNrjOR45) is not None: bhUCHvz9NQyb = ShZmEKfTkAOZ[hkTDnNrjOR45] else: bhUCHvz9NQyb = ltvhPP4VhXre.time() - avRbFsnfJxQj oVre8I6UXc3b.ix_2Sh1G26sE += bhUCHvz9NQyb oVre8I6UXc3b.Dx4BIdduUicH += bhUCHvz9NQyb xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\x02p\xd5\x1f;\x07l\x86"'), chr(100) + chr(0b1011 + 0o132) + '\x63' + chr(0b1001100 + 0o43) + chr(0b1010101 + 0o17) + '\x65')('\165' + chr(0b1110100) + chr(102) + chr(0b101101) + '\x38'))(zV7puqb0ATCb, ehT0Px3KOsy9('\x30' + chr(3315 - 3204) + chr(0b10101 + 0o33), ord("\x08"))) if xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\x02p'), '\x64' + chr(0b100100 + 0o101) + chr(0b1011001 + 0o12) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(117) + '\164' + chr(0b10110 + 0o120) + chr(1106 - 1061) + chr(56)))(PhlBisFuYzln) is not None: if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x13m\xdc\x1f.\x12\|\x9a%\xe9\xf94\xdc\xbe\xaf'), chr(100) + chr(0b1100101) + chr(99) + '\157' + chr(0b1100010 + 0o2) + '\x65')(chr(0b1011000 + 0o35) + chr(116) + chr(0b1100110) + '\055' + '\070')) is None: oVre8I6UXc3b.jSmIA0KX4UMK = ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x30', 8) oVre8I6UXc3b.jSmIA0KX4UMK += ShZmEKfTkAOZ[PhlBisFuYzln] oVre8I6UXc3b.u_kucd6GfCQL += ShZmEKfTkAOZ[PhlBisFuYzln] if xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\x02p'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(100) + '\145')('\x75' + chr(116) + chr(2103 - 2001) + chr(45) + '\070'))(Wlyyrq_NCGk3) is not None: if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x02t\xd8\t2\x02\|\x99\t\xc2\xe2/\xc9\xb3'), chr(0b1 + 0o143) + chr(0b1000000 + 0o45) + chr(0b100001 + 0o102) + '\157' + chr(100) + '\x65')(chr(0b1110101) + '\164' + chr(0b1100110) + '\055' + chr(1815 - 1759))) is None: oVre8I6UXc3b.N0xusbX1QCDd = ehT0Px3KOsy9('\060' + '\157' + '\x30', 8) oVre8I6UXc3b.N0xusbX1QCDd += ShZmEKfTkAOZ[Wlyyrq_NCGk3] xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\x02p\xd5\x1f;\x07l\x86"'), chr(668 - 568) + chr(0b1011 + 0o132) + chr(99) + '\157' + '\x64' + chr(101))(chr(11760 - 11643) + chr(0b1110100) + chr(0b1100110) + '\055' + '\x38'))(XQtQofasOL3R, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc14i\xf8;m-A\xde\x03\xfb\xc6'), chr(0b1100100) + chr(9441 - 9340) + chr(0b1100011) + chr(0b1100110 + 0o11) + '\144' + chr(0b1100100 + 0o1))(chr(0b1011010 + 0o33) + chr(4137 - 4021) + chr(102) + chr(0b101101 + 0o0) + chr(56)))) xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\x02p\xd5\x1f;\x07l\x86"'), chr(9689 - 9589) + chr(3285 - 3184) + '\143' + chr(0b1101010 + 0o5) + '\144' + '\145')('\165' + chr(0b10010 + 0o142) + chr(6696 - 6594) + chr(0b11100 + 0o21) + chr(56)))(Wo88rzhMYg8E, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5W\|\xc4\t?>(\xbb\x15\xf2\xe9'), chr(0b1100100) + chr(6106 - 6005) + chr(380 - 281) + chr(111) + chr(0b1010111 + 0o15) + chr(1308 - 1207))(chr(0b110110 + 0o77) + chr(0b1001110 + 0o46) + chr(1313 - 1211) + '\055' + '\070'))) xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\x02p\xd5\x1f;\x07l\x86"'), chr(0b1100100) + '\145' + '\x63' + '\x6f' + chr(0b0 + 0o144) + chr(101))(chr(0b1000000 + 0o65) + chr(0b1 + 0o163) + '\x66' + '\055' + chr(0b111000)))(i79A5KFcKEHr, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6!l\xf9\x14\n(!\x88\x0e\xe7\xd9'), chr(100) + '\145' + '\143' + '\x6f' + chr(3805 - 3705) + chr(0b1100101))('\x75' + chr(0b1010 + 0o152) + '\x66' + '\055' + chr(0b1111 + 0o51)))) if xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\x02p'), chr(0b1100100) + chr(101) + chr(99) + chr(111) + '\x64' + chr(7198 - 7097))(chr(10005 - 9888) + '\164' + chr(0b110000 + 0o66) + chr(0b101101) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\x02e\xdf%1\tj\x99'), chr(100) + chr(0b110011 + 0o62) + chr(0b11001 + 0o112) + '\x6f' + chr(100) + chr(101))('\165' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b101000 + 0o20))): xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\x02p\xd5\x1f;\x07l\x86"'), '\144' + chr(2735 - 2634) + chr(99) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(0b110011 + 0o101) + '\146' + chr(804 - 759) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5\x02c\xee\x178\x07w\xb5:\xd9\xfe('), chr(4595 - 4495) + chr(3014 - 2913) + chr(0b1000111 + 0o34) + chr(111) + chr(0b1010101 + 0o17) + '\145')(chr(0b1001001 + 0o54) + chr(0b1110100) + chr(0b1100110) + chr(0b1001 + 0o44) + '\x38'), -ShZmEKfTkAOZ[xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\x02e\xdf%1\tj\x99'), chr(4176 - 4076) + chr(0b100 + 0o141) + chr(2764 - 2665) + chr(6279 - 6168) + chr(0b1100100) + chr(7113 - 7012))(chr(8004 - 7887) + chr(1760 - 1644) + chr(0b1100110) + chr(0b101101) + '\x38')]) a5iq6oQ5y3rG = zKdiQFzuryNR.today() xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\x13E\xf4\x13\x13,w\x93b\xd3\xbd'), '\144' + '\145' + chr(99) + chr(12258 - 12147) + chr(0b1100100) + '\145')('\x75' + chr(6398 - 6282) + '\x66' + chr(0b1111 + 0o36) + chr(0b10100 + 0o44)))(experiment_id=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x02\|\xc1\x1f/\x0ft\x8f8\xc2\xd22\xcc'), chr(9878 - 9778) + '\x65' + '\143' + chr(111) + '\144' + chr(0b1100101))('\x75' + '\164' + chr(0b100011 + 0o103) + chr(0b10011 + 0o32) + '\x38')), date=xafqLlk3kkUe(a5iq6oQ5y3rG, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\x13v\xd7\x0e4\x0b\|'), chr(0b1100100) + chr(101) + '\143' + chr(2849 - 2738) + chr(100) + '\x65')(chr(0b1110101) + chr(11306 - 11190) + '\146' + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e>)\x94\x17pC}\xb5s\xfe\xa0~\xe5\xf2\xe6\xa3'), chr(0b1 + 0o143) + chr(3561 - 3460) + chr(5366 - 5267) + chr(0b1101111) + chr(0b1000010 + 0o42) + chr(101))(chr(0b1000001 + 0o64) + '\164' + chr(102) + '\x2d' + chr(0b111000))), timestamp=ehT0Px3KOsy9(xafqLlk3kkUe(ltvhPP4VhXre, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6\x0cp\xd8\x178'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b100100 + 0o100) + chr(101))(chr(6461 - 6344) + chr(116) + chr(0b10110 + 0o120) + chr(45) + chr(56)))(xafqLlk3kkUe(a5iq6oQ5y3rG, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf\x0ei\xd4\x0e(\x16u\x8f'), chr(0b10011 + 0o121) + '\145' + chr(0b1100001 + 0o2) + '\x6f' + chr(171 - 71) + chr(0b11101 + 0o110))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(322 - 277) + chr(0b111000)))())), time_this_iter_s=bhUCHvz9NQyb, time_total_s=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\x1f[\x83)5W^\xd8`\xc5\xc8'), '\x64' + chr(7981 - 7880) + chr(6145 - 6046) + chr(111) + chr(4750 - 4650) + chr(2341 - 2240))(chr(978 - 861) + chr(0b1110100) + chr(8864 - 8762) + '\055' + chr(0b1101 + 0o53))), pid=xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\x02p\xc1\x139'), chr(0b1100100) + chr(101) + '\143' + '\x6f' + chr(0b10001 + 0o123) + '\145')('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b100 + 0o51) + chr(0b111000)))(), hostname=xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\te\xdc\x1f'), '\x64' + chr(101) + '\x63' + '\x6f' + '\144' + '\145')(chr(117) + chr(0b1110100) + chr(8492 - 8390) + chr(45) + chr(0b1011 + 0o55)))()[ehT0Px3KOsy9(chr(48) + chr(12225 - 12114) + chr(0b110001), 8)], node_ip=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x0bk\xd2\x1b19p\x9a'), chr(0b1100100) + chr(0b1100101) + chr(0b1001011 + 0o30) + chr(111) + chr(100) + chr(101))(chr(117) + chr(0b1001101 + 0o47) + chr(5233 - 5131) + chr(0b101101) + '\070')), config=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1&n\x86)oVZ\x9ef\x80\xe2'), chr(0b1101 + 0o127) + chr(369 - 268) + chr(0b110111 + 0o54) + chr(111) + chr(100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1100110) + '\x2d' + chr(56))), time_since_restore=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\x1f0\xf339\x02l\xbf?\xd5\xc5'), '\x64' + chr(0b1010000 + 0o25) + '\x63' + chr(111) + chr(0b1011101 + 0o7) + chr(0b1100101))(chr(117) + chr(6264 - 6148) + chr(0b1010011 + 0o23) + chr(0b10 + 0o53) + '\070')), timesteps_since_restore=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde8o\xc4\x199P^\x8c\x15\xe7\xc1'), chr(3281 - 3181) + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\144' + chr(7916 - 7815))(chr(13595 - 13478) + '\164' + chr(0b110011 + 0o63) + chr(0b1010 + 0o43) + chr(0b111000))), iterations_since_restore=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea5H\xfa\x02,Pi\xbcg\xee\xe0'), chr(0b1100100) + chr(101) + chr(99) + chr(111) + chr(6962 - 6862) + chr(0b1000 + 0o135))('\x75' + '\x74' + chr(0b1100110) + chr(45) + chr(56)))) xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x0bk\xd6%/\x03j\x9f:\xc2'), chr(0b1011000 + 0o14) + chr(0b111111 + 0o46) + chr(0b1100011) + chr(0b111101 + 0o62) + chr(0b101111 + 0o65) + chr(0b1100101))(chr(0b1110101) + '\x74' + '\146' + chr(0b101101) + chr(0b11011 + 0o35)))(ShZmEKfTkAOZ) return ShZmEKfTkAOZ
ray-project/ray	python/ray/tune/trainable.py	Trainable.delete_checkpoint	def delete_checkpoint(self, checkpoint_dir): """Removes subdirectory within checkpoint_folder Parameters ---------- checkpoint_dir : path to checkpoint """ if os.path.isfile(checkpoint_dir): shutil.rmtree(os.path.dirname(checkpoint_dir)) else: shutil.rmtree(checkpoint_dir)	python	def delete_checkpoint(self, checkpoint_dir): """Removes subdirectory within checkpoint_folder Parameters ---------- checkpoint_dir : path to checkpoint """ if os.path.isfile(checkpoint_dir): shutil.rmtree(os.path.dirname(checkpoint_dir)) else: shutil.rmtree(checkpoint_dir)	[ "def", "delete_checkpoint", "(", "self", ",", "checkpoint_dir", ")", ":", "if", "os", ".", "path", ".", "isfile", "(", "checkpoint_dir", ")", ":", "shutil", ".", "rmtree", "(", "os", ".", "path", ".", "dirname", "(", "checkpoint_dir", ")", ")", "else", ":", "shutil", ".", "rmtree", "(", "checkpoint_dir", ")" ]	Removes subdirectory within checkpoint_folder Parameters ---------- checkpoint_dir : path to checkpoint	[ "Removes", "subdirectory", "within", "checkpoint_folder", "Parameters", "----------", "checkpoint_dir", ":", "path", "to", "checkpoint" ]	4eade036a0505e244c976f36aaa2d64386b5129b	https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/trainable.py#L213-L222	train	Removes subdirectory within checkpoint_folder	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\060' + chr(0b110 + 0o61), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b111 + 0o51) + chr(1725 - 1677), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(50) + chr(49), 12024 - 12016), ehT0Px3KOsy9('\060' + chr(8528 - 8417) + chr(2300 - 2249) + chr(608 - 559) + chr(53), 2233 - 2225), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110111) + chr(0b101101 + 0o4), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(49) + chr(49) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b110001) + chr(564 - 510), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(50) + chr(0b101 + 0o54) + chr(522 - 473), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(53) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(1257 - 1209) + chr(5000 - 4889) + '\062' + '\060' + '\065', 44290 - 44282), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b100110 + 0o111) + '\062' + chr(0b1111 + 0o45) + chr(0b10100 + 0o41), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + '\x34' + chr(0b110101), 8), ehT0Px3KOsy9(chr(1908 - 1860) + chr(111) + chr(0b11111 + 0o23) + chr(0b1001 + 0o52) + '\064', 3665 - 3657), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(0b110011) + chr(0b110111), 48858 - 48850), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\157' + '\062' + chr(0b11100 + 0o30) + chr(1635 - 1583), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(0b101 + 0o55) + '\x37' + '\062', 0b1000), ehT0Px3KOsy9(chr(1354 - 1306) + chr(111) + chr(0b110010) + '\x30' + chr(1098 - 1048), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\061' + chr(0b100001 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110000) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(310 - 261) + '\x30' + chr(0b101011 + 0o7), 49010 - 49002), ehT0Px3KOsy9('\x30' + '\157' + chr(0b101100 + 0o6) + chr(963 - 915) + chr(0b1001 + 0o55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001111 + 0o40) + chr(0b100010 + 0o20) + chr(53 - 5) + chr(0b110111), 580 - 572), ehT0Px3KOsy9(chr(1626 - 1578) + chr(111) + '\062' + chr(0b1011 + 0o53) + chr(49), 55282 - 55274), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110100) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\062' + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010 + 0o0) + '\061' + chr(2467 - 2415), 0o10), ehT0Px3KOsy9(chr(334 - 286) + chr(111) + chr(50) + chr(0b110000) + chr(716 - 665), 0b1000), ehT0Px3KOsy9(chr(48) + chr(2544 - 2433) + chr(0b110010) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + '\x33' + chr(0b101100 + 0o13) + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\x32' + chr(0b10101 + 0o36), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100000 + 0o21) + chr(52) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(1445 - 1394) + chr(0b110110) + '\060', 0o10), ehT0Px3KOsy9(chr(1187 - 1139) + '\x6f' + '\062' + '\x33' + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110110) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1410 - 1362) + chr(0b1000111 + 0o50) + '\061' + '\065' + chr(0b11000 + 0o34), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(0b1011 + 0o46) + chr(0b110001) + '\066', 0b1000), ehT0Px3KOsy9('\060' + chr(0b110010 + 0o75) + chr(181 - 131) + chr(0b110011) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101010 + 0o10) + '\x35' + chr(0b110111), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + '\065' + chr(0b110000), 5005 - 4997)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9'), chr(0b1010 + 0o132) + '\145' + chr(99) + '\157' + '\x64' + chr(101))('\x75' + chr(0b110000 + 0o104) + chr(102) + chr(0b110 + 0o47) + '\x38') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def lH91sI3JRdQ3(oVre8I6UXc3b, ZYf3E0RxYOo_): if xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xae\xf3ah\xbd\xa8'), chr(6328 - 6228) + '\x65' + chr(0b1100011) + chr(111) + chr(0b1100100) + '\x65')('\x75' + '\164' + '\146' + chr(0b101101) + chr(1026 - 970)))(ZYf3E0RxYOo_): xafqLlk3kkUe(DSLq_IS6e6IX, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5\xedss\xb4\xa8'), chr(0b1100100) + chr(8801 - 8700) + '\x63' + chr(0b1101111) + '\144' + chr(0b10110 + 0o117))(chr(0b1110101) + chr(116) + '\x66' + chr(524 - 479) + chr(0b10001 + 0o47)))(xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3\xe9uo\xb0\xa0\\'), chr(0b1100100) + '\x65' + chr(0b10110 + 0o115) + chr(0b1101111) + chr(0b1001000 + 0o34) + chr(101))(chr(810 - 693) + chr(0b110110 + 0o76) + chr(0b1100110) + chr(205 - 160) + chr(56)))(ZYf3E0RxYOo_)) else: xafqLlk3kkUe(DSLq_IS6e6IX, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5\xedss\xb4\xa8'), chr(0b1100000 + 0o4) + chr(9891 - 9790) + chr(9732 - 9633) + '\157' + chr(5127 - 5027) + chr(101))('\165' + '\164' + chr(0b101011 + 0o73) + '\055' + chr(56)))(ZYf3E0RxYOo_)
ray-project/ray	python/ray/tune/trainable.py	Trainable.save	def save(self, checkpoint_dir=None): """Saves the current model state to a checkpoint. Subclasses should override ``_save()`` instead to save state. This method dumps additional metadata alongside the saved path. Args: checkpoint_dir (str): Optional dir to place the checkpoint. Returns: Checkpoint path that may be passed to restore(). """ checkpoint_dir = os.path.join(checkpoint_dir or self.logdir, "checkpoint_{}".format(self._iteration)) if not os.path.exists(checkpoint_dir): os.makedirs(checkpoint_dir) checkpoint = self._save(checkpoint_dir) saved_as_dict = False if isinstance(checkpoint, string_types): if (not checkpoint.startswith(checkpoint_dir) or checkpoint == checkpoint_dir): raise ValueError( "The returned checkpoint path must be within the " "given checkpoint dir {}: {}".format( checkpoint_dir, checkpoint)) if not os.path.exists(checkpoint): raise ValueError( "The returned checkpoint path does not exist: {}".format( checkpoint)) checkpoint_path = checkpoint elif isinstance(checkpoint, dict): saved_as_dict = True checkpoint_path = os.path.join(checkpoint_dir, "checkpoint") with open(checkpoint_path, "wb") as f: pickle.dump(checkpoint, f) else: raise ValueError( "`_save` must return a dict or string type: {}".format( str(type(checkpoint)))) with open(checkpoint_path + ".tune_metadata", "wb") as f: pickle.dump({ "experiment_id": self._experiment_id, "iteration": self._iteration, "timesteps_total": self._timesteps_total, "time_total": self._time_total, "episodes_total": self._episodes_total, "saved_as_dict": saved_as_dict }, f) return checkpoint_path	python	def save(self, checkpoint_dir=None): """Saves the current model state to a checkpoint. Subclasses should override ``_save()`` instead to save state. This method dumps additional metadata alongside the saved path. Args: checkpoint_dir (str): Optional dir to place the checkpoint. Returns: Checkpoint path that may be passed to restore(). """ checkpoint_dir = os.path.join(checkpoint_dir or self.logdir, "checkpoint_{}".format(self._iteration)) if not os.path.exists(checkpoint_dir): os.makedirs(checkpoint_dir) checkpoint = self._save(checkpoint_dir) saved_as_dict = False if isinstance(checkpoint, string_types): if (not checkpoint.startswith(checkpoint_dir) or checkpoint == checkpoint_dir): raise ValueError( "The returned checkpoint path must be within the " "given checkpoint dir {}: {}".format( checkpoint_dir, checkpoint)) if not os.path.exists(checkpoint): raise ValueError( "The returned checkpoint path does not exist: {}".format( checkpoint)) checkpoint_path = checkpoint elif isinstance(checkpoint, dict): saved_as_dict = True checkpoint_path = os.path.join(checkpoint_dir, "checkpoint") with open(checkpoint_path, "wb") as f: pickle.dump(checkpoint, f) else: raise ValueError( "`_save` must return a dict or string type: {}".format( str(type(checkpoint)))) with open(checkpoint_path + ".tune_metadata", "wb") as f: pickle.dump({ "experiment_id": self._experiment_id, "iteration": self._iteration, "timesteps_total": self._timesteps_total, "time_total": self._time_total, "episodes_total": self._episodes_total, "saved_as_dict": saved_as_dict }, f) return checkpoint_path	[ "def", "save", "(", "self", ",", "checkpoint_dir", "=", "None", ")", ":", "checkpoint_dir", "=", "os", ".", "path", ".", "join", "(", "checkpoint_dir", "or", "self", ".", "logdir", ",", "\"checkpoint_{}\"", ".", "format", "(", "self", ".", "_iteration", ")", ")", "if", "not", "os", ".", "path", ".", "exists", "(", "checkpoint_dir", ")", ":", "os", ".", "makedirs", "(", "checkpoint_dir", ")", "checkpoint", "=", "self", ".", "_save", "(", "checkpoint_dir", ")", "saved_as_dict", "=", "False", "if", "isinstance", "(", "checkpoint", ",", "string_types", ")", ":", "if", "(", "not", "checkpoint", ".", "startswith", "(", "checkpoint_dir", ")", "or", "checkpoint", "==", "checkpoint_dir", ")", ":", "raise", "ValueError", "(", "\"The returned checkpoint path must be within the \"", "\"given checkpoint dir {}: {}\"", ".", "format", "(", "checkpoint_dir", ",", "checkpoint", ")", ")", "if", "not", "os", ".", "path", ".", "exists", "(", "checkpoint", ")", ":", "raise", "ValueError", "(", "\"The returned checkpoint path does not exist: {}\"", ".", "format", "(", "checkpoint", ")", ")", "checkpoint_path", "=", "checkpoint", "elif", "isinstance", "(", "checkpoint", ",", "dict", ")", ":", "saved_as_dict", "=", "True", "checkpoint_path", "=", "os", ".", "path", ".", "join", "(", "checkpoint_dir", ",", "\"checkpoint\"", ")", "with", "open", "(", "checkpoint_path", ",", "\"wb\"", ")", "as", "f", ":", "pickle", ".", "dump", "(", "checkpoint", ",", "f", ")", "else", ":", "raise", "ValueError", "(", "\"`_save` must return a dict or string type: {}\"", ".", "format", "(", "str", "(", "type", "(", "checkpoint", ")", ")", ")", ")", "with", "open", "(", "checkpoint_path", "+", "\".tune_metadata\"", ",", "\"wb\"", ")", "as", "f", ":", "pickle", ".", "dump", "(", "{", "\"experiment_id\"", ":", "self", ".", "_experiment_id", ",", "\"iteration\"", ":", "self", ".", "_iteration", ",", "\"timesteps_total\"", ":", "self", ".", "_timesteps_total", ",", "\"time_total\"", ":", "self", ".", "_time_total", ",", "\"episodes_total\"", ":", "self", ".", "_episodes_total", ",", "\"saved_as_dict\"", ":", "saved_as_dict", "}", ",", "f", ")", "return", "checkpoint_path" ]	Saves the current model state to a checkpoint. Subclasses should override ``_save()`` instead to save state. This method dumps additional metadata alongside the saved path. Args: checkpoint_dir (str): Optional dir to place the checkpoint. Returns: Checkpoint path that may be passed to restore().	[ "Saves", "the", "current", "model", "state", "to", "a", "checkpoint", "." ]	4eade036a0505e244c976f36aaa2d64386b5129b	https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/trainable.py#L224-L273	train	Saves the current state of the current state to a checkpoint.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101010 + 0o7) + chr(0b100 + 0o61) + '\x34', 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(9863 - 9752) + chr(2374 - 2320) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1795 - 1744) + chr(408 - 359) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3225 - 3114) + '\063' + chr(212 - 163) + '\061', 13383 - 13375), ehT0Px3KOsy9(chr(2230 - 2182) + '\157' + chr(0b110000 + 0o2) + chr(48) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010001 + 0o36) + chr(50) + chr(53) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + chr(0b110011) + chr(0b1 + 0o66), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1011101 + 0o22) + chr(49) + '\061' + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b110110) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10650 - 10539) + '\x33' + chr(0b111 + 0o52), 46118 - 46110), ehT0Px3KOsy9(chr(865 - 817) + '\x6f' + chr(0b110010) + '\063' + chr(0b0 + 0o67), 8), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + '\063' + chr(2402 - 2351) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(50) + chr(1105 - 1053), 0o10), ehT0Px3KOsy9(chr(1267 - 1219) + '\157' + chr(0b110001) + chr(0b110100) + '\063', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1377 - 1328) + '\x33' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(50) + chr(966 - 912) + chr(0b10000 + 0o46), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\060' + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + chr(11698 - 11587) + '\062' + chr(1085 - 1031) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(246 - 135) + chr(0b0 + 0o61) + chr(0b110111 + 0o0) + chr(453 - 398), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\066' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10101 + 0o132) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(277 - 229) + chr(0b1011110 + 0o21) + chr(49) + chr(80 - 28) + chr(0b110011), 8), ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b110111) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(9146 - 9035) + chr(0b110010) + chr(1527 - 1474) + '\062', 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b100010 + 0o115) + chr(0b110011) + '\x36' + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1607 - 1559) + chr(2862 - 2751) + chr(1519 - 1470) + chr(0b100000 + 0o26) + chr(2022 - 1974), 57771 - 57763), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1010001 + 0o36) + chr(317 - 268) + chr(0b110000) + chr(0b110001), 35885 - 35877), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + '\x32' + chr(48) + chr(1271 - 1220), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6154 - 6043) + chr(0b110010 + 0o0) + chr(54) + '\x36', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(50) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(0b11000 + 0o30), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(0b110110) + chr(0b101011 + 0o7), 0o10), ehT0Px3KOsy9(chr(48) + chr(3216 - 3105) + chr(51) + chr(52) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3931 - 3820) + chr(0b1011 + 0o47) + '\x37' + '\x30', 8), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + chr(596 - 545) + chr(0b110101) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b110001 + 0o0) + chr(0b1011 + 0o51) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1775 - 1725) + chr(0b101001 + 0o11), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + '\x33' + '\x37' + chr(0b1110 + 0o45), 0o10), ehT0Px3KOsy9(chr(1688 - 1640) + '\157' + chr(50) + chr(0b0 + 0o60) + chr(0b110000), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(0b110101) + chr(860 - 812), 40905 - 40897)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'B'), chr(0b1100100) + chr(1490 - 1389) + chr(0b10010 + 0o121) + chr(0b1101111) + '\144' + chr(101))('\x75' + chr(0b1110100) + chr(6401 - 6299) + '\055' + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def oqBodScAtZiv(oVre8I6UXc3b, ZYf3E0RxYOo_=None): ZYf3E0RxYOo_ = oqhJDdMJfuwx.path._oWXztVNnqHF(ZYf3E0RxYOo_ or oVre8I6UXc3b.logdir, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f[\xad\xaa\xef\xda\xf0#\x1am\xc0\xa2\xa9'), chr(0b1011111 + 0o5) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(0b10100 + 0o120) + chr(0b1001010 + 0o33))('\x75' + '\164' + '\146' + chr(404 - 359) + chr(0b11 + 0o65)).V4roHaS3Ppej(oVre8I6UXc3b.mFhHnWN8bXQT)) if not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\tK\xa1\xba\xf0\xd9'), '\x64' + chr(5198 - 5097) + '\x63' + '\x6f' + chr(100) + '\x65')(chr(0b1110101) + chr(8311 - 8195) + '\x66' + '\x2d' + '\070'))(ZYf3E0RxYOo_): xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01R\xa3\xac\xe0\xc3\xed9'), chr(6508 - 6408) + '\x65' + chr(0b1100011) + chr(4141 - 4030) + chr(0b110010 + 0o62) + chr(101))('\165' + chr(0b1101110 + 0o6) + '\x66' + '\x2d' + chr(72 - 16)))(ZYf3E0RxYOo_) DNoMzyusA3wb = oVre8I6UXc3b._save(ZYf3E0RxYOo_) yVtSxoBFBBvn = ehT0Px3KOsy9('\x30' + chr(111) + chr(456 - 408), 0b1000) if PlSM16l2KDPD(DNoMzyusA3wb, sInLJQno9SRQ): if not xafqLlk3kkUe(DNoMzyusA3wb, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1fG\xa9\xbb\xf0\xd9\xe8#\x00q'), chr(100) + chr(4765 - 4664) + chr(3691 - 3592) + chr(709 - 598) + chr(0b1001010 + 0o32) + '\x65')(chr(117) + chr(0b1110100) + chr(102) + '\055' + chr(56)))(ZYf3E0RxYOo_) or DNoMzyusA3wb == ZYf3E0RxYOo_: raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'8[\xad\xe9\xf6\xcf\xeb?\x06w\xfa\xbd\xf4\x000\xd3#\xdc\x0f\x19o\r\xcc\x8a\x85r\x04)\xa3\xdb\xe3{\x86\xc4\xda\x8cFe\x92\xf4\x04Z\xa6\xe9\xf0\xc2\xfaj\x13p\xe9\xbc\xbaC;\xde%\xd4\x14\x06i\n\xd6\xde\xd5w\x193\xa3\xcd\xeb2\xd2\x9f\xc5'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1101111) + '\144' + chr(101))('\165' + '\x74' + chr(3493 - 3391) + '\055' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b':\x07\xba\xa6\xcc\xcb\xccy$i\xfa\xb3'), chr(0b101110 + 0o66) + chr(101) + chr(0b1100011) + chr(0b110010 + 0o75) + '\x64' + chr(0b1100101))('\165' + chr(1021 - 905) + chr(0b1100110 + 0o0) + chr(1240 - 1195) + '\070'))(ZYf3E0RxYOo_, DNoMzyusA3wb)) if not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\tK\xa1\xba\xf0\xd9'), chr(2678 - 2578) + '\x65' + chr(99) + chr(8048 - 7937) + '\144' + chr(101))('\x75' + '\164' + chr(102) + chr(0b101101 + 0o0) + chr(56)))(DNoMzyusA3wb): raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'8[\xad\xe9\xf6\xcf\xeb?\x06w\xfa\xbd\xf4\x000\xd3#\xdc\x0f\x19o\r\xcc\x8a\x85r\x04)\xa3\xd2\xf9m\x81\xc4\xd6\x86\x122\x9e\xf8\x05@\xbc\xf3\xa4\xd1\xe2'), chr(0b1100100) + '\x65' + chr(3977 - 3878) + chr(972 - 861) + chr(100) + chr(0b1100101))(chr(117) + chr(0b1101111 + 0o5) + '\x66' + chr(1158 - 1113) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b':\x07\xba\xa6\xcc\xcb\xccy$i\xfa\xb3'), chr(100) + chr(101) + chr(0b1100011) + chr(1279 - 1168) + '\144' + '\145')(chr(3400 - 3283) + '\164' + chr(0b11000 + 0o116) + chr(0b101101) + '\x38'))(DNoMzyusA3wb)) lbKq88EBpYWb = DNoMzyusA3wb elif PlSM16l2KDPD(DNoMzyusA3wb, wLqBDw8l0eIm): yVtSxoBFBBvn = ehT0Px3KOsy9(chr(0b110000) + chr(0b1 + 0o156) + chr(0b11001 + 0o30), 0b1000) lbKq88EBpYWb = oqhJDdMJfuwx.path._oWXztVNnqHF(ZYf3E0RxYOo_, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0f[\xad\xaa\xef\xda\xf0#\x1am'), chr(0b1100100) + '\x65' + '\143' + chr(0b1101111) + chr(100) + chr(9809 - 9708))(chr(0b1000001 + 0o64) + chr(0b1000011 + 0o61) + chr(4206 - 4104) + chr(0b11010 + 0o23) + chr(0b111000))) with _fwkIVCGgtAN(lbKq88EBpYWb, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bQ'), chr(104 - 4) + chr(7255 - 7154) + chr(0b111 + 0o134) + '\x6f' + '\144' + chr(101))(chr(0b1110101) + chr(1718 - 1602) + chr(0b1100010 + 0o4) + chr(45) + chr(56))) as EGyt1xfPT1P6: xafqLlk3kkUe(b1Ng5DsPF9ZY, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08F\xa5\xb9'), chr(100) + '\x65' + chr(0b100001 + 0o102) + '\157' + chr(0b101110 + 0o66) + '\x65')(chr(0b1100101 + 0o20) + '\x74' + '\146' + chr(45) + '\070'))(DNoMzyusA3wb, EGyt1xfPT1P6) else: raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0cl\xbb\xa8\xf2\xcf\xffj\x19l\xec\xad\xf4\x11=\xc25\xc5\x11VgC\xdc\xc3\x96gP.\xf1\x96\xe5\|\x80\x8d\xd6\x8eFf\x82\xf0\t\t\xe8\xb2\xf9'), '\144' + chr(0b1100101) + chr(99) + '\157' + '\144' + '\145')('\x75' + chr(116) + '\146' + chr(0b100010 + 0o13) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b':\x07\xba\xa6\xcc\xcb\xccy$i\xfa\xb3'), chr(100) + chr(0b10111 + 0o116) + chr(0b101110 + 0o65) + chr(111) + '\144' + '\145')('\x75' + chr(0b11101 + 0o127) + chr(102) + chr(0b101 + 0o50) + chr(1167 - 1111)))(M8_cKLkHVB2V(wmQmyeWBmUpv(DNoMzyusA3wb)))) with _fwkIVCGgtAN(lbKq88EBpYWb + xafqLlk3kkUe(SXOLrMavuUCe(b'BG\xbd\xa7\xe1\xf5\xf2/\x00x\xfb\xb8\xa0\x02'), chr(0b1100100) + chr(101) + chr(4387 - 4288) + '\x6f' + '\x64' + '\145')(chr(117) + chr(2882 - 2766) + chr(0b1100110) + chr(1049 - 1004) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bQ'), '\x64' + chr(101) + chr(99) + '\x6f' + chr(100) + '\x65')('\x75' + chr(0b1110100) + '\x66' + chr(0b11101 + 0o20) + chr(56))) as EGyt1xfPT1P6: xafqLlk3kkUe(b1Ng5DsPF9ZY, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08F\xa5\xb9'), chr(0b10011 + 0o121) + chr(0b1011101 + 0o10) + chr(0b1100011) + chr(7982 - 7871) + chr(100) + '\145')(chr(9671 - 9554) + chr(0b1000110 + 0o56) + '\146' + chr(765 - 720) + '\070'))({xafqLlk3kkUe(SXOLrMavuUCe(b'\tK\xb8\xac\xf6\xc3\xf2/\x1am\xc0\xb0\xb0'), '\x64' + chr(0b100001 + 0o104) + chr(99) + chr(1394 - 1283) + '\x64' + '\145')(chr(0b1100010 + 0o23) + chr(1275 - 1159) + chr(0b1001 + 0o135) + chr(0b100110 + 0o7) + chr(56)): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"3V\xb0\xb9\xe1\xd8\xf6'\x11w\xeb\x86\xbd\x07"), chr(0b1100100) + chr(5774 - 5673) + '\143' + chr(7517 - 7406) + chr(3141 - 3041) + chr(0b1100101))(chr(12553 - 12436) + chr(6369 - 6253) + '\x66' + chr(0b10001 + 0o34) + chr(0b10111 + 0o41))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x05G\xad\xbb\xe5\xde\xf6%\x1a'), '\144' + '\x65' + chr(6929 - 6830) + '\157' + chr(100) + '\145')('\165' + chr(0b1 + 0o163) + chr(0b1100110) + chr(416 - 371) + chr(0b111000)): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01u\xa0\x81\xea\xfd\xd1r\x16A\xce\x8d'), chr(125 - 25) + '\x65' + chr(99) + '\157' + chr(5105 - 5005) + chr(3941 - 3840))('\x75' + '\x74' + chr(1612 - 1510) + '\055' + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x18Z\xa5\xac\xf7\xde\xfa:\x07F\xeb\xb6\xa0\x024'), chr(0b1101 + 0o127) + '\x65' + chr(0b111010 + 0o51) + '\157' + chr(0b1100100) + chr(0b100110 + 0o77))('\165' + '\164' + chr(102) + chr(45) + chr(0b111000)): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x06`\xa5\x80\xc5\x9a\xd4\x12@L\xd2\x92'), chr(1515 - 1415) + chr(101) + chr(0b1100011) + chr(111) + chr(4155 - 4055) + chr(101))(chr(0b10111 + 0o136) + chr(7535 - 7419) + '\x66' + chr(1740 - 1695) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x18Z\xa5\xac\xdb\xde\xf0>\x15u'), chr(0b1100100) + chr(0b1100101) + chr(7312 - 7213) + chr(0b111111 + 0o60) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(3381 - 3265) + chr(102) + chr(0b101101) + chr(56)): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05K\x97\xfb\xd7\xc2\xae\rF/\xec\x9c'), chr(100) + '\145' + '\x63' + '\157' + chr(0b1100100) + chr(0b1100101))(chr(8080 - 7963) + chr(0b101000 + 0o114) + chr(0b1100001 + 0o5) + '\055' + chr(0b111000))), xafqLlk3kkUe(SXOLrMavuUCe(b'\tC\xa1\xba\xeb\xce\xfa9+m\xf0\xad\xb5\x0f'), chr(2272 - 2172) + '\145' + chr(0b1100011) + '\157' + chr(9306 - 9206) + chr(7469 - 7368))(chr(13292 - 13175) + chr(3140 - 3024) + '\x66' + '\x2d' + chr(0b111000)): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'"\x03\xb0\xbc\xf7\xc8\xc7{%Z\xdb\xbd'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(8296 - 8185) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + chr(45) + '\x38')), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1fR\xbe\xac\xe0\xf5\xfe9+}\xf6\xba\xa0'), chr(0b10 + 0o142) + chr(4478 - 4377) + chr(9785 - 9686) + chr(111) + chr(100) + chr(8988 - 8887))(chr(0b1110101) + chr(0b1000110 + 0o56) + '\x66' + chr(1140 - 1095) + chr(2566 - 2510)): yVtSxoBFBBvn}, EGyt1xfPT1P6) return lbKq88EBpYWb
ray-project/ray	python/ray/tune/trainable.py	Trainable.save_to_object	def save_to_object(self): """Saves the current model state to a Python object. It also saves to disk but does not return the checkpoint path. Returns: Object holding checkpoint data. """ tmpdir = tempfile.mkdtemp("save_to_object", dir=self.logdir) checkpoint_prefix = self.save(tmpdir) data = {} base_dir = os.path.dirname(checkpoint_prefix) for path in os.listdir(base_dir): path = os.path.join(base_dir, path) if path.startswith(checkpoint_prefix): with open(path, "rb") as f: data[os.path.basename(path)] = f.read() out = io.BytesIO() data_dict = pickle.dumps({ "checkpoint_name": os.path.basename(checkpoint_prefix), "data": data, }) if len(data_dict) > 10e6: # getting pretty large logger.info("Checkpoint size is {} bytes".format(len(data_dict))) out.write(data_dict) shutil.rmtree(tmpdir) return out.getvalue()	python	def save_to_object(self): """Saves the current model state to a Python object. It also saves to disk but does not return the checkpoint path. Returns: Object holding checkpoint data. """ tmpdir = tempfile.mkdtemp("save_to_object", dir=self.logdir) checkpoint_prefix = self.save(tmpdir) data = {} base_dir = os.path.dirname(checkpoint_prefix) for path in os.listdir(base_dir): path = os.path.join(base_dir, path) if path.startswith(checkpoint_prefix): with open(path, "rb") as f: data[os.path.basename(path)] = f.read() out = io.BytesIO() data_dict = pickle.dumps({ "checkpoint_name": os.path.basename(checkpoint_prefix), "data": data, }) if len(data_dict) > 10e6: # getting pretty large logger.info("Checkpoint size is {} bytes".format(len(data_dict))) out.write(data_dict) shutil.rmtree(tmpdir) return out.getvalue()	[ "def", "save_to_object", "(", "self", ")", ":", "tmpdir", "=", "tempfile", ".", "mkdtemp", "(", "\"save_to_object\"", ",", "dir", "=", "self", ".", "logdir", ")", "checkpoint_prefix", "=", "self", ".", "save", "(", "tmpdir", ")", "data", "=", "{", "}", "base_dir", "=", "os", ".", "path", ".", "dirname", "(", "checkpoint_prefix", ")", "for", "path", "in", "os", ".", "listdir", "(", "base_dir", ")", ":", "path", "=", "os", ".", "path", ".", "join", "(", "base_dir", ",", "path", ")", "if", "path", ".", "startswith", "(", "checkpoint_prefix", ")", ":", "with", "open", "(", "path", ",", "\"rb\"", ")", "as", "f", ":", "data", "[", "os", ".", "path", ".", "basename", "(", "path", ")", "]", "=", "f", ".", "read", "(", ")", "out", "=", "io", ".", "BytesIO", "(", ")", "data_dict", "=", "pickle", ".", "dumps", "(", "{", "\"checkpoint_name\"", ":", "os", ".", "path", ".", "basename", "(", "checkpoint_prefix", ")", ",", "\"data\"", ":", "data", ",", "}", ")", "if", "len", "(", "data_dict", ")", ">", "10e6", ":", "# getting pretty large", "logger", ".", "info", "(", "\"Checkpoint size is {} bytes\"", ".", "format", "(", "len", "(", "data_dict", ")", ")", ")", "out", ".", "write", "(", "data_dict", ")", "shutil", ".", "rmtree", "(", "tmpdir", ")", "return", "out", ".", "getvalue", "(", ")" ]	Saves the current model state to a Python object. It also saves to disk but does not return the checkpoint path. Returns: Object holding checkpoint data.	[ "Saves", "the", "current", "model", "state", "to", "a", "Python", "object", ".", "It", "also", "saves", "to", "disk", "but", "does", "not", "return", "the", "checkpoint", "path", "." ]	4eade036a0505e244c976f36aaa2d64386b5129b	https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/trainable.py#L275-L304	train	Saves the current state to a Python object. It also saves the current model state to disk but does not return the checkpoint path.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(1621 - 1573) + chr(640 - 589), 49943 - 49935), ehT0Px3KOsy9(chr(48) + chr(0b1100011 + 0o14) + chr(370 - 321) + chr(0b10100 + 0o37) + chr(0b110000 + 0o6), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b101000 + 0o14) + chr(0b101 + 0o56), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(9230 - 9119) + chr(0b0 + 0o61) + '\x35' + chr(2242 - 2187), 0o10), ehT0Px3KOsy9('\060' + chr(10215 - 10104) + chr(49) + '\x31' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(569 - 519) + '\x37' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(766 - 715) + chr(0b110101) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(751 - 703) + '\157' + chr(1616 - 1567) + chr(0b11010 + 0o30) + chr(53), 33361 - 33353), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1123 - 1074) + chr(0b10111 + 0o34) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\066' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + '\x32' + chr(54) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(676 - 565) + '\063' + chr(2381 - 2329) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + '\063' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(991 - 943) + chr(8405 - 8294) + '\x31' + chr(48), 0b1000), ehT0Px3KOsy9(chr(1380 - 1332) + chr(111) + chr(1592 - 1542) + chr(496 - 442) + '\x31', 0o10), ehT0Px3KOsy9(chr(939 - 891) + chr(3176 - 3065) + '\x31' + chr(736 - 686), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b100 + 0o56) + chr(0b101111 + 0o6), 10684 - 10676), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b110010) + chr(2044 - 1996), 0o10), ehT0Px3KOsy9(chr(805 - 757) + '\157' + chr(50) + chr(0b110010) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(3045 - 2934) + chr(335 - 286) + '\063' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10101 + 0o36) + chr(1677 - 1628) + chr(0b1100 + 0o46), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\060' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1011 + 0o47) + chr(0b101011 + 0o6) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + chr(0b10000 + 0o41) + '\062' + chr(0b101 + 0o53), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x31' + chr(2173 - 2120), 18021 - 18013), ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + '\063' + chr(48) + chr(2530 - 2478), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(1819 - 1765) + chr(0b111 + 0o60), 0b1000), ehT0Px3KOsy9(chr(397 - 349) + chr(0b1101111) + '\x31' + '\061' + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + '\x37' + chr(0b100110 + 0o17), 31812 - 31804), ehT0Px3KOsy9(chr(48) + chr(0b10111 + 0o130) + chr(0b10010 + 0o37) + '\066' + '\x34', 28571 - 28563), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b1 + 0o60) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101001 + 0o6) + chr(2369 - 2319) + '\063' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1010011 + 0o34) + chr(0b110011) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(1681 - 1626), 5451 - 5443), ehT0Px3KOsy9('\060' + chr(0b1000100 + 0o53) + '\066' + chr(1646 - 1598), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b10001 + 0o43) + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2305 - 2250) + chr(1268 - 1219), 24121 - 24113), ehT0Px3KOsy9(chr(2263 - 2215) + chr(0b110011 + 0o74) + '\067' + chr(0b101 + 0o57), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(677 - 629), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xad'), chr(0b1100100) + chr(0b100010 + 0o103) + chr(2804 - 2705) + '\157' + '\144' + '\145')('\165' + '\164' + chr(102) + chr(45) + '\070') + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def z25bRwbcZuWd(oVre8I6UXc3b): UWEiH6ipikcf = IvD8hQuFpT7c.mkdtemp(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0?\x15\n\x16\xcf\x82\n4\x96\xd8\x87p}'), chr(0b10010 + 0o122) + chr(0b1100101) + chr(0b1001111 + 0o24) + chr(0b1101111) + chr(0b101100 + 0o70) + chr(0b1100101))(chr(0b1000011 + 0o62) + chr(0b101000 + 0o114) + chr(8762 - 8660) + chr(1882 - 1837) + '\070'), dir=oVre8I6UXc3b.logdir) gfSKE4gCxIza = oVre8I6UXc3b.save(UWEiH6ipikcf) ULnjp6D6efFH = {} tEZltfn1uUbu = oqhJDdMJfuwx.path.dirname(gfSKE4gCxIza) for EaCjyhZptSer in xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef7\x10\x1b-\xd2\x9f'), '\x64' + '\x65' + chr(0b100 + 0o137) + chr(4702 - 4591) + '\144' + chr(0b1100101))('\165' + '\164' + chr(0b1100110) + '\055' + chr(56)))(tEZltfn1uUbu): EaCjyhZptSer = oqhJDdMJfuwx.path._oWXztVNnqHF(tEZltfn1uUbu, EaCjyhZptSer) if xafqLlk3kkUe(EaCjyhZptSer, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0*\x02\x1d=\xc8\x9a</\x9c'), chr(5697 - 5597) + chr(101) + '\x63' + '\157' + chr(0b1011100 + 0o10) + chr(1331 - 1230))(chr(8783 - 8666) + chr(0b1110100) + '\x66' + chr(0b100 + 0o51) + chr(56)))(gfSKE4gCxIza): with _fwkIVCGgtAN(EaCjyhZptSer, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1<'), chr(6992 - 6892) + '\x65' + chr(99) + chr(0b1101111) + chr(2533 - 2433) + '\x65')('\x75' + chr(116) + chr(0b1100110) + '\x2d' + chr(56))) as EGyt1xfPT1P6: ULnjp6D6efFH[oqhJDdMJfuwx.path.g_1BfC8eoU5Q(EaCjyhZptSer)] = EGyt1xfPT1P6.U6MiWrhuCi2Y() UkrMp_I0RDmo = Bey9a5LqdaFa.BytesIO() bVvwgfusx1YE = b1Ng5DsPF9ZY.dumps({xafqLlk3kkUe(SXOLrMavuUCe(b'\xe06\x06\x0c"\xcb\x82<5\x80\xed\x8crd\|'), '\144' + '\145' + '\143' + '\157' + chr(5652 - 5552) + chr(0b1100101))(chr(0b111000 + 0o75) + chr(0b1110100) + chr(1548 - 1446) + '\x2d' + chr(2000 - 1944)): oqhJDdMJfuwx.path.g_1BfC8eoU5Q(gfSKE4gCxIza), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe7?\x17\x0e'), '\144' + '\x65' + chr(0b11011 + 0o110) + '\157' + '\x64' + chr(4627 - 4526))('\x75' + chr(0b1110100) + chr(0b100111 + 0o77) + '\x2d' + chr(56)): ULnjp6D6efFH}) if c2A0yzQpDQB3(bVvwgfusx1YE) > 10000000.0: xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0i+\x17<\xd8\x8ab1\x98\xe8\x89'), chr(0b1100100) + chr(6452 - 6351) + chr(2314 - 2215) + chr(0b100001 + 0o116) + chr(5799 - 5699) + chr(0b1100101))(chr(117) + '\164' + '\x66' + chr(0b101101) + chr(0b101100 + 0o14)))(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc06\x06\x0c"\xcb\x82<5\x80\x92\x91zs\|(\xd8y\xb5+\xef\x7f\xa8>\xfd5>'), chr(3042 - 2942) + chr(101) + chr(8604 - 8505) + '\157' + chr(0b101001 + 0o73) + '\x65')(chr(0b1110101) + chr(9388 - 9272) + '\x66' + chr(45) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5j\x11\x00\x01\xda\xbef\x0b\x84\xd7\x88'), chr(0b111010 + 0o52) + '\145' + chr(0b1010101 + 0o16) + chr(0b1100111 + 0o10) + chr(100) + chr(0b1011111 + 0o6))(chr(0b100 + 0o161) + '\164' + chr(0b1100110) + chr(779 - 734) + chr(0b111000)))(c2A0yzQpDQB3(bVvwgfusx1YE))) xafqLlk3kkUe(UkrMp_I0RDmo, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4,\n\x1b,'), chr(0b1110 + 0o126) + chr(0b101010 + 0o73) + chr(439 - 340) + chr(0b1101111) + '\x64' + chr(0b1011101 + 0o10))(chr(0b1011010 + 0o33) + '\x74' + chr(102) + '\055' + chr(0b111000)))(bVvwgfusx1YE) xafqLlk3kkUe(DSLq_IS6e6IX, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf13\x17\x1d,\xde'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1001100 + 0o43) + '\144' + '\145')('\165' + '\x74' + '\x66' + chr(0b1001 + 0o44) + chr(0b111000)))(UWEiH6ipikcf) return xafqLlk3kkUe(UkrMp_I0RDmo, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4;\x17\x19(\xd7\x980'), chr(0b1100100) + '\145' + chr(0b101100 + 0o67) + chr(111) + chr(8515 - 8415) + chr(960 - 859))(chr(0b1110101) + chr(2578 - 2462) + '\x66' + chr(45) + chr(0b1000 + 0o60)))()
ray-project/ray	python/ray/tune/trainable.py	Trainable.restore	def restore(self, checkpoint_path): """Restores training state from a given model checkpoint. These checkpoints are returned from calls to save(). Subclasses should override ``_restore()`` instead to restore state. This method restores additional metadata saved with the checkpoint. """ with open(checkpoint_path + ".tune_metadata", "rb") as f: metadata = pickle.load(f) self._experiment_id = metadata["experiment_id"] self._iteration = metadata["iteration"] self._timesteps_total = metadata["timesteps_total"] self._time_total = metadata["time_total"] self._episodes_total = metadata["episodes_total"] saved_as_dict = metadata["saved_as_dict"] if saved_as_dict: with open(checkpoint_path, "rb") as loaded_state: checkpoint_dict = pickle.load(loaded_state) self._restore(checkpoint_dict) else: self._restore(checkpoint_path) self._time_since_restore = 0.0 self._timesteps_since_restore = 0 self._iterations_since_restore = 0 self._restored = True	python	def restore(self, checkpoint_path): """Restores training state from a given model checkpoint. These checkpoints are returned from calls to save(). Subclasses should override ``_restore()`` instead to restore state. This method restores additional metadata saved with the checkpoint. """ with open(checkpoint_path + ".tune_metadata", "rb") as f: metadata = pickle.load(f) self._experiment_id = metadata["experiment_id"] self._iteration = metadata["iteration"] self._timesteps_total = metadata["timesteps_total"] self._time_total = metadata["time_total"] self._episodes_total = metadata["episodes_total"] saved_as_dict = metadata["saved_as_dict"] if saved_as_dict: with open(checkpoint_path, "rb") as loaded_state: checkpoint_dict = pickle.load(loaded_state) self._restore(checkpoint_dict) else: self._restore(checkpoint_path) self._time_since_restore = 0.0 self._timesteps_since_restore = 0 self._iterations_since_restore = 0 self._restored = True	[ "def", "restore", "(", "self", ",", "checkpoint_path", ")", ":", "with", "open", "(", "checkpoint_path", "+", "\".tune_metadata\"", ",", "\"rb\"", ")", "as", "f", ":", "metadata", "=", "pickle", ".", "load", "(", "f", ")", "self", ".", "_experiment_id", "=", "metadata", "[", "\"experiment_id\"", "]", "self", ".", "_iteration", "=", "metadata", "[", "\"iteration\"", "]", "self", ".", "_timesteps_total", "=", "metadata", "[", "\"timesteps_total\"", "]", "self", ".", "_time_total", "=", "metadata", "[", "\"time_total\"", "]", "self", ".", "_episodes_total", "=", "metadata", "[", "\"episodes_total\"", "]", "saved_as_dict", "=", "metadata", "[", "\"saved_as_dict\"", "]", "if", "saved_as_dict", ":", "with", "open", "(", "checkpoint_path", ",", "\"rb\"", ")", "as", "loaded_state", ":", "checkpoint_dict", "=", "pickle", ".", "load", "(", "loaded_state", ")", "self", ".", "_restore", "(", "checkpoint_dict", ")", "else", ":", "self", ".", "_restore", "(", "checkpoint_path", ")", "self", ".", "_time_since_restore", "=", "0.0", "self", ".", "_timesteps_since_restore", "=", "0", "self", ".", "_iterations_since_restore", "=", "0", "self", ".", "_restored", "=", "True" ]	Restores training state from a given model checkpoint. These checkpoints are returned from calls to save(). Subclasses should override ``_restore()`` instead to restore state. This method restores additional metadata saved with the checkpoint.	[ "Restores", "training", "state", "from", "a", "given", "model", "checkpoint", "." ]	4eade036a0505e244c976f36aaa2d64386b5129b	https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/trainable.py#L306-L332	train	Restores training state from a given model checkpoint.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(0b1100 + 0o45) + chr(2143 - 2090) + chr(0b110101), 3623 - 3615), ehT0Px3KOsy9('\x30' + chr(0b100 + 0o153) + chr(0b110010) + chr(49) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1358 - 1310) + chr(4902 - 4791) + '\x33' + '\x36' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(2004 - 1949) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\067' + '\x33', 0o10), ehT0Px3KOsy9(chr(1428 - 1380) + chr(510 - 399) + chr(2407 - 2354) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + '\x34' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1101111) + chr(51) + chr(1172 - 1121) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3651 - 3540) + '\063' + '\x35' + chr(0b10 + 0o63), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11110 + 0o121) + chr(52) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1110 + 0o45) + chr(0b110111) + chr(0b11110 + 0o27), 0b1000), ehT0Px3KOsy9(chr(1579 - 1531) + '\157' + chr(0b110010) + chr(54) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9007 - 8896) + chr(2272 - 2221) + '\063' + chr(1864 - 1811), 37652 - 37644), ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + '\x32' + chr(54) + chr(0b1011 + 0o46), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\x31' + chr(0b1 + 0o57), 5472 - 5464), ehT0Px3KOsy9(chr(734 - 686) + chr(482 - 371) + '\x35' + chr(0b101001 + 0o11), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(52) + '\x35', 0o10), ehT0Px3KOsy9(chr(2037 - 1989) + chr(111) + chr(0b1000 + 0o53) + chr(1933 - 1883) + chr(2612 - 2558), 60572 - 60564), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x37' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(459 - 348) + chr(0b100001 + 0o26) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\x36' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\064' + chr(1859 - 1804), 0b1000), ehT0Px3KOsy9(chr(338 - 290) + '\x6f' + chr(0b1101 + 0o44) + chr(972 - 922) + '\063', 59362 - 59354), ehT0Px3KOsy9(chr(2278 - 2230) + '\x6f' + chr(0b110010) + '\065' + chr(0b110000), 7947 - 7939), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(0b1 + 0o60) + chr(0b110101) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(54) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b110000) + chr(55), 20915 - 20907), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010 + 0o1) + chr(51) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + '\x33' + chr(0b101001 + 0o10) + '\x35', 0o10), ehT0Px3KOsy9(chr(2052 - 2004) + '\157' + chr(0b110001) + chr(53) + chr(50), 40857 - 40849), ehT0Px3KOsy9(chr(0b110000) + chr(1535 - 1424) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + '\x32' + chr(0b100 + 0o54) + '\060', 12520 - 12512), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b0 + 0o64) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(2195 - 2146) + chr(892 - 839) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x37' + chr(0b110011 + 0o1), 10099 - 10091), ehT0Px3KOsy9(chr(0b110000) + chr(10554 - 10443) + chr(51) + chr(0b11001 + 0o35) + '\067', 44139 - 44131), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(55) + chr(1304 - 1250), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b110001) + chr(0b100100 + 0o21), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(501 - 453) + '\157' + chr(53) + chr(0b100100 + 0o14), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'C'), chr(7993 - 7893) + chr(0b111 + 0o136) + chr(5376 - 5277) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(117) + '\x74' + '\x66' + chr(45) + chr(0b1111 + 0o51)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Z4YDSWFz1Gfu(oVre8I6UXc3b, lbKq88EBpYWb): with _fwkIVCGgtAN(lbKq88EBpYWb + xafqLlk3kkUe(SXOLrMavuUCe(b'C\xfd\x85\x94n\xa4F\x02\xad\x8cE\x9c\xc4\xbc'), chr(100) + '\x65' + chr(1249 - 1150) + chr(111) + chr(0b10000 + 0o124) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + chr(2917 - 2861)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f\xeb'), '\x64' + '\145' + chr(0b100000 + 0o103) + chr(0b10000 + 0o137) + chr(0b1100010 + 0o2) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(45) + '\x38')) as EGyt1xfPT1P6: mU7wOAGoTnlM = b1Ng5DsPF9ZY.mxtdQMeiwJZJ(EGyt1xfPT1P6) oVre8I6UXc3b.IqgGTmb3REVL = mU7wOAGoTnlM[xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xf1\x80\x9fy\x92F\x02\xb7\x99~\x94\xd4'), chr(766 - 666) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(100) + chr(0b111011 + 0o52))(chr(134 - 17) + chr(7259 - 7143) + chr(102) + chr(0b101101) + chr(2742 - 2686))] oVre8I6UXc3b.mFhHnWN8bXQT = mU7wOAGoTnlM[xafqLlk3kkUe(SXOLrMavuUCe(b'\x04\xfd\x95\x88j\x8fB\x08\xb7'), chr(9323 - 9223) + chr(0b1100101) + '\143' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b100011 + 0o122) + chr(0b1011001 + 0o33) + chr(5439 - 5337) + chr(0b101101) + '\070')] oVre8I6UXc3b.jSmIA0KX4UMK = mU7wOAGoTnlM[xafqLlk3kkUe(SXOLrMavuUCe(b'\x19\xe0\x9d\x9fx\x8fN\x17\xaa\xb2U\x92\xc4\xbc\xdd'), '\144' + chr(6353 - 6252) + chr(3990 - 3891) + '\157' + chr(5828 - 5728) + '\145')(chr(0b11110 + 0o127) + chr(116) + chr(0b110111 + 0o57) + '\055' + chr(0b111000))] oVre8I6UXc3b.ix_2Sh1G26sE = mU7wOAGoTnlM[xafqLlk3kkUe(SXOLrMavuUCe(b'\x19\xe0\x9d\x9fT\x8fD\x13\xb8\x81'), chr(100) + chr(0b1100101) + chr(2074 - 1975) + chr(3712 - 3601) + chr(405 - 305) + '\145')('\x75' + chr(13263 - 13147) + chr(102) + chr(0b1011 + 0o42) + '\070')] oVre8I6UXc3b.N0xusbX1QCDd = mU7wOAGoTnlM[xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\xf9\x99\x89d\x9fN\x14\x86\x99N\x89\xd1\xb1'), chr(5280 - 5180) + chr(101) + chr(0b1010111 + 0o14) + chr(0b1000100 + 0o53) + chr(100) + '\145')(chr(0b1110101) + '\164' + chr(102) + chr(0b10 + 0o53) + chr(1851 - 1795))] yVtSxoBFBBvn = mU7wOAGoTnlM[xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xe8\x86\x9fo\xa4J\x14\x86\x89H\x9e\xc4'), chr(0b10000 + 0o124) + '\x65' + chr(0b1100011) + chr(0b1000111 + 0o50) + chr(0b11 + 0o141) + chr(705 - 604))('\x75' + chr(0b10011 + 0o141) + chr(102) + chr(45) + chr(2509 - 2453))] if yVtSxoBFBBvn: with _fwkIVCGgtAN(lbKq88EBpYWb, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f\xeb'), chr(8069 - 7969) + '\x65' + chr(0b1100011) + chr(0b1011000 + 0o27) + chr(100) + chr(101))('\165' + chr(116) + '\146' + chr(45) + chr(0b111000))) as MIDERVfpuFsk: JsuqlQeDhYLa = b1Ng5DsPF9ZY.mxtdQMeiwJZJ(MIDERVfpuFsk) xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'2\xfb\x95\x89\x7f\x94Y\x02'), chr(0b1101 + 0o127) + chr(101) + '\x63' + chr(5574 - 5463) + '\x64' + chr(4326 - 4225))('\x75' + chr(3847 - 3731) + '\x66' + chr(0b101101) + '\x38'))(JsuqlQeDhYLa) else: xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'2\xfb\x95\x89\x7f\x94Y\x02'), '\144' + chr(0b1100101) + chr(0b11100 + 0o107) + chr(8788 - 8677) + '\144' + '\x65')(chr(0b1110101) + '\x74' + chr(6618 - 6516) + chr(0b101101) + '\070'))(lbKq88EBpYWb) oVre8I6UXc3b.Dx4BIdduUicH = 0.0 oVre8I6UXc3b.u_kucd6GfCQL = ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1110 + 0o42), ord("\x08")) oVre8I6UXc3b.ARLKxq6pV1Xm = ehT0Px3KOsy9(chr(48) + '\x6f' + '\060', 8) oVre8I6UXc3b.wfIlEiUz1Ra3 = ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 8)
ray-project/ray	python/ray/tune/trainable.py	Trainable.restore_from_object	def restore_from_object(self, obj): """Restores training state from a checkpoint object. These checkpoints are returned from calls to save_to_object(). """ info = pickle.loads(obj) data = info["data"] tmpdir = tempfile.mkdtemp("restore_from_object", dir=self.logdir) checkpoint_path = os.path.join(tmpdir, info["checkpoint_name"]) for file_name, file_contents in data.items(): with open(os.path.join(tmpdir, file_name), "wb") as f: f.write(file_contents) self.restore(checkpoint_path) shutil.rmtree(tmpdir)	python	def restore_from_object(self, obj): """Restores training state from a checkpoint object. These checkpoints are returned from calls to save_to_object(). """ info = pickle.loads(obj) data = info["data"] tmpdir = tempfile.mkdtemp("restore_from_object", dir=self.logdir) checkpoint_path = os.path.join(tmpdir, info["checkpoint_name"]) for file_name, file_contents in data.items(): with open(os.path.join(tmpdir, file_name), "wb") as f: f.write(file_contents) self.restore(checkpoint_path) shutil.rmtree(tmpdir)	[ "def", "restore_from_object", "(", "self", ",", "obj", ")", ":", "info", "=", "pickle", ".", "loads", "(", "obj", ")", "data", "=", "info", "[", "\"data\"", "]", "tmpdir", "=", "tempfile", ".", "mkdtemp", "(", "\"restore_from_object\"", ",", "dir", "=", "self", ".", "logdir", ")", "checkpoint_path", "=", "os", ".", "path", ".", "join", "(", "tmpdir", ",", "info", "[", "\"checkpoint_name\"", "]", ")", "for", "file_name", ",", "file_contents", "in", "data", ".", "items", "(", ")", ":", "with", "open", "(", "os", ".", "path", ".", "join", "(", "tmpdir", ",", "file_name", ")", ",", "\"wb\"", ")", "as", "f", ":", "f", ".", "write", "(", "file_contents", ")", "self", ".", "restore", "(", "checkpoint_path", ")", "shutil", ".", "rmtree", "(", "tmpdir", ")" ]	Restores training state from a checkpoint object. These checkpoints are returned from calls to save_to_object().	[ "Restores", "training", "state", "from", "a", "checkpoint", "object", "." ]	4eade036a0505e244c976f36aaa2d64386b5129b	https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/trainable.py#L334-L350	train	Restores training state from a checkpoint object.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b110011) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(11114 - 11003) + '\062' + '\x37' + chr(49), 0o10), ehT0Px3KOsy9(chr(1173 - 1125) + '\157' + chr(53) + chr(0b100101 + 0o22), 0b1000), ehT0Px3KOsy9(chr(311 - 263) + '\x6f' + chr(0b110011) + chr(0b11 + 0o55) + chr(0b110011), 60083 - 60075), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + '\062' + chr(0b110111) + chr(0b110000), 26433 - 26425), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(2742 - 2688) + '\064', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(607 - 559) + '\157' + chr(0b11 + 0o60) + chr(0b1001 + 0o56), 39657 - 39649), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110110) + chr(0b100010 + 0o24), 22500 - 22492), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(8976 - 8865) + '\x31' + chr(54) + chr(0b11000 + 0o32), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + '\x31' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + chr(2166 - 2116) + chr(0b110100) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\x34' + chr(0b101110 + 0o6), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10100 + 0o35) + '\x31' + chr(0b1010 + 0o52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(0b110101) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\x36' + chr(0b110100), 43217 - 43209), ehT0Px3KOsy9(chr(823 - 775) + chr(0b1101111) + chr(0b0 + 0o62) + chr(49) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(2887 - 2776) + chr(51) + chr(0b100001 + 0o25) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1111 + 0o140) + chr(0b1110 + 0o43) + '\066' + chr(54), 8), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + chr(51) + chr(1495 - 1441) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\064' + chr(0b10111 + 0o36), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(4798 - 4687) + chr(0b110011) + '\060' + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + chr(51) + '\x36' + chr(0b100100 + 0o15), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8285 - 8174) + '\063' + chr(52) + chr(0b1010 + 0o50), 52762 - 52754), ehT0Px3KOsy9(chr(1810 - 1762) + chr(0b101011 + 0o104) + chr(1544 - 1493) + chr(51) + '\064', 0b1000), ehT0Px3KOsy9(chr(1684 - 1636) + chr(11551 - 11440) + '\063' + '\x36' + chr(0b101100 + 0o10), 8), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(2804 - 2750) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + chr(0b110101) + chr(0b101 + 0o62), 8), ehT0Px3KOsy9(chr(597 - 549) + '\157' + chr(50) + '\062', 54012 - 54004), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b101000 + 0o14) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x34' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b110010) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(331 - 277) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101100 + 0o6) + '\x33' + '\063', 8), ehT0Px3KOsy9(chr(1928 - 1880) + chr(0b1101111) + chr(2318 - 2269), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(0b1001 + 0o50) + chr(0b100111 + 0o11) + chr(719 - 670), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + '\x33' + chr(0b1001 + 0o54), 19354 - 19346), ehT0Px3KOsy9(chr(48) + chr(0b1001001 + 0o46) + chr(54) + chr(48), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(702 - 654) + chr(0b11100 + 0o123) + chr(2070 - 2017) + chr(0b110000), 42931 - 42923)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5'), chr(0b10001 + 0o123) + '\x65' + '\143' + chr(0b1101111) + chr(0b1100010 + 0o2) + chr(0b11010 + 0o113))('\165' + chr(0b1110100) + '\146' + chr(0b11011 + 0o22) + chr(3083 - 3027)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def Bn02PMo1WgZh(oVre8I6UXc3b, mDuDykdz0pcm): S7Hxucg7jlZk = b1Ng5DsPF9ZY.loads(mDuDykdz0pcm) ULnjp6D6efFH = S7Hxucg7jlZk[xafqLlk3kkUe(SXOLrMavuUCe(b'\xff\xd8[\xa2'), '\144' + chr(0b1100101) + chr(6281 - 6182) + chr(0b1101111) + chr(0b111100 + 0o50) + chr(0b1100101))(chr(117) + '\x74' + '\x66' + '\055' + '\x38')] UWEiH6ipikcf = IvD8hQuFpT7c.mkdtemp(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\xdc\\\xb7e\xca\xd1Ty\x04t\x1f\x97\xcf\x86&\x89\x17\xfa'), chr(0b1100100) + chr(101) + chr(6061 - 5962) + chr(0b1101111) + chr(1275 - 1175) + chr(0b1100101))(chr(117) + chr(0b1100 + 0o150) + chr(0b1000110 + 0o40) + chr(1009 - 964) + chr(0b101111 + 0o11)), dir=oVre8I6UXc3b.logdir) lbKq88EBpYWb = oqhJDdMJfuwx.path._oWXztVNnqHF(UWEiH6ipikcf, S7Hxucg7jlZk[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8\xd1J\xa0a\xc8\xdbbq\x02D\x1c\xa9\xcd\x81'), chr(0b1100100) + chr(101) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))('\x75' + '\x74' + '\146' + '\x2d' + chr(56))]) for (OK327sCYstzB, jTwHDbLrEdhT) in xafqLlk3kkUe(ULnjp6D6efFH, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\xc3Y\xa6C\xe2\x87Bs%SK'), chr(0b111000 + 0o54) + chr(5124 - 5023) + chr(99) + '\x6f' + '\144' + chr(0b111011 + 0o52))(chr(0b1110101) + chr(4650 - 4534) + chr(0b1100110) + chr(0b10000 + 0o35) + chr(0b111000)))(): with _fwkIVCGgtAN(xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\xd6x\x9bp\xcc\xe2Eq\x07S4'), chr(0b1100100) + chr(0b1100101) + chr(7439 - 7340) + chr(0b1001100 + 0o43) + chr(0b1100100) + chr(101))(chr(117) + '\164' + '\x66' + '\055' + chr(56)))(UWEiH6ipikcf, OK327sCYstzB), xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\xdb'), chr(100) + chr(0b1100101) + chr(99) + '\x6f' + chr(100) + chr(0b10101 + 0o120))(chr(6125 - 6008) + chr(9171 - 9055) + chr(0b1100110) + chr(0b11011 + 0o22) + '\070')) as EGyt1xfPT1P6: xafqLlk3kkUe(EGyt1xfPT1P6, xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\xcbF\xb7o'), chr(3322 - 3222) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(100) + '\x65')(chr(0b1110101) + chr(2514 - 2398) + chr(0b1010101 + 0o21) + '\x2d' + '\x38'))(jTwHDbLrEdhT) xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\xdc\\\xb7e\xca\xd1'), chr(2247 - 2147) + '\x65' + chr(0b100001 + 0o102) + chr(4632 - 4521) + chr(4159 - 4059) + chr(0b11111 + 0o106))('\165' + chr(116) + chr(8732 - 8630) + chr(0b101101) + chr(1497 - 1441)))(lbKq88EBpYWb) xafqLlk3kkUe(DSLq_IS6e6IX, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9\xd4[\xb1o\xdd'), '\144' + chr(0b101101 + 0o70) + chr(0b1010010 + 0o21) + chr(0b1010000 + 0o37) + chr(0b1100000 + 0o4) + '\x65')(chr(0b110011 + 0o102) + '\x74' + chr(102) + chr(834 - 789) + '\x38'))(UWEiH6ipikcf)
ray-project/ray	python/ray/tune/trainable.py	Trainable.export_model	def export_model(self, export_formats, export_dir=None): """Exports model based on export_formats. Subclasses should override _export_model() to actually export model to local directory. Args: export_formats (list): List of formats that should be exported. export_dir (str): Optional dir to place the exported model. Defaults to self.logdir. Return: A dict that maps ExportFormats to successfully exported models. """ export_dir = export_dir or self.logdir return self._export_model(export_formats, export_dir)	python	def export_model(self, export_formats, export_dir=None): """Exports model based on export_formats. Subclasses should override _export_model() to actually export model to local directory. Args: export_formats (list): List of formats that should be exported. export_dir (str): Optional dir to place the exported model. Defaults to self.logdir. Return: A dict that maps ExportFormats to successfully exported models. """ export_dir = export_dir or self.logdir return self._export_model(export_formats, export_dir)	[ "def", "export_model", "(", "self", ",", "export_formats", ",", "export_dir", "=", "None", ")", ":", "export_dir", "=", "export_dir", "or", "self", ".", "logdir", "return", "self", ".", "_export_model", "(", "export_formats", ",", "export_dir", ")" ]	Exports model based on export_formats. Subclasses should override _export_model() to actually export model to local directory. Args: export_formats (list): List of formats that should be exported. export_dir (str): Optional dir to place the exported model. Defaults to self.logdir. Return: A dict that maps ExportFormats to successfully exported models.	[ "Exports", "model", "based", "on", "export_formats", "." ]	4eade036a0505e244c976f36aaa2d64386b5129b	https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/trainable.py#L352-L367	train	Exports the current state of the object to a local directory.	Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__ SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(5371 - 5260) + chr(0b110011) + chr(0b110010) + chr(1223 - 1169), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(0b110001) + chr(263 - 215) + chr(48), 26096 - 26088), ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + '\061' + '\064' + chr(0b110111), 28945 - 28937), ehT0Px3KOsy9(chr(591 - 543) + chr(111) + '\062' + '\x33' + chr(316 - 263), 59020 - 59012), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001001 + 0o46) + chr(1319 - 1270) + '\x36' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(848 - 800) + '\157' + chr(0b1010 + 0o51) + '\064' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(876 - 827) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\x6f' + '\063' + chr(0b110001 + 0o3) + chr(0b111 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\x35' + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(6362 - 6251) + '\x32' + chr(0b110011) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(12310 - 12199) + '\x33' + '\067' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(10263 - 10152) + '\061' + '\067' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\065', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1 + 0o62) + chr(0b11110 + 0o30) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(3423 - 3312) + '\061' + chr(48) + chr(0b100 + 0o62), 23891 - 23883), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(1938 - 1888) + chr(0b100000 + 0o21), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b110111) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1001 + 0o52) + chr(0b110010) + chr(1544 - 1495), 30989 - 30981), ehT0Px3KOsy9('\060' + '\157' + chr(2413 - 2363) + '\x32' + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(803 - 752) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + '\x33' + chr(55) + chr(1135 - 1080), 58695 - 58687), ehT0Px3KOsy9('\x30' + chr(5117 - 5006) + '\x35' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(4913 - 4802) + '\063' + '\061' + chr(0b1101 + 0o47), 0b1000), ehT0Px3KOsy9(chr(669 - 621) + chr(0b1101111) + chr(0b110011) + chr(428 - 375) + chr(49), 0b1000), ehT0Px3KOsy9(chr(1563 - 1515) + chr(111) + chr(0b100 + 0o56) + chr(49) + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b100001 + 0o20) + chr(0b1100 + 0o53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\061' + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\x37' + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\061' + chr(0b101100 + 0o4), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11001 + 0o32) + chr(48) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(795 - 741) + chr(0b110111), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\060' + '\x32', 0o10), ehT0Px3KOsy9(chr(1206 - 1158) + chr(0b1101111) + chr(49) + chr(738 - 683) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110001 + 0o76) + '\x33' + chr(0b110110) + chr(2690 - 2636), 10838 - 10830), ehT0Px3KOsy9(chr(0b110000) + chr(12134 - 12023) + '\x31' + '\x34' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + chr(51) + chr(54) + chr(0b101011 + 0o13), 8), ehT0Px3KOsy9(chr(355 - 307) + chr(0b1001101 + 0o42) + chr(0b1100 + 0o45) + chr(0b100001 + 0o17) + chr(1837 - 1785), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3709 - 3598) + '\061' + chr(0b110001), 55225 - 55217), ehT0Px3KOsy9(chr(48) + chr(0b1001110 + 0o41) + '\x32' + chr(2219 - 2167) + chr(0b100110 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(1485 - 1437) + chr(0b1101111) + chr(50) + chr(0b110101) + chr(54), 297 - 289)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(12264 - 12153) + chr(53) + chr(0b11010 + 0o26), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)]) def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh): try: return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8'), chr(0b11101 + 0o107) + chr(0b1100101) + '\x63' + chr(8195 - 8084) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(10805 - 10689) + chr(0b1100110) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh) except yROw0HWBk0Qc: return jFWsnpHpAUWz(RqocVGOryNPv) def _fXJt9bhyOLQ(oVre8I6UXc3b, WT69SGes9Wye, Y_BbzujYEx9L=None): Y_BbzujYEx9L = Y_BbzujYEx9L or oVre8I6UXc3b.logdir return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89%\x1f\xed\x1e\x91z\xb9\x07\xf5\x9d\x1fa'), chr(0b1000101 + 0o37) + chr(10072 - 9971) + '\x63' + chr(0b1000011 + 0o54) + '\x64' + chr(0b1100101))('\165' + chr(0b11011 + 0o131) + chr(3422 - 3320) + chr(0b101101) + '\x38'))(WT69SGes9Wye, Y_BbzujYEx9L)

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