MLPY/Lib/site-packages/sympy/parsing/autolev/_antlr/autolevlexer.py

# *** GENERATED BY `setup.py antlr`, DO NOT EDIT BY HAND ***
#
# Generated with antlr4
#    antlr4 is licensed under the BSD-3-Clause License
#    https://github.com/antlr/antlr4/blob/master/LICENSE.txt
from antlr4 import *
from io import StringIO
import sys
if sys.version_info[1] > 5:
    from typing import TextIO
else:
    from typing.io import TextIO


def serializedATN():
    return [
        4,0,49,393,6,-1,2,0,7,0,2,1,7,1,2,2,7,2,2,3,7,3,2,4,7,4,2,5,7,5,
        2,6,7,6,2,7,7,7,2,8,7,8,2,9,7,9,2,10,7,10,2,11,7,11,2,12,7,12,2,
        13,7,13,2,14,7,14,2,15,7,15,2,16,7,16,2,17,7,17,2,18,7,18,2,19,7,
        19,2,20,7,20,2,21,7,21,2,22,7,22,2,23,7,23,2,24,7,24,2,25,7,25,2,
        26,7,26,2,27,7,27,2,28,7,28,2,29,7,29,2,30,7,30,2,31,7,31,2,32,7,
        32,2,33,7,33,2,34,7,34,2,35,7,35,2,36,7,36,2,37,7,37,2,38,7,38,2,
        39,7,39,2,40,7,40,2,41,7,41,2,42,7,42,2,43,7,43,2,44,7,44,2,45,7,
        45,2,46,7,46,2,47,7,47,2,48,7,48,2,49,7,49,2,50,7,50,1,0,1,0,1,1,
        1,1,1,2,1,2,1,3,1,3,1,3,1,4,1,4,1,4,1,5,1,5,1,5,1,6,1,6,1,6,1,7,
        1,7,1,7,1,8,1,8,1,8,1,9,1,9,1,10,1,10,1,11,1,11,1,12,1,12,1,13,1,
        13,1,14,1,14,1,15,1,15,1,16,1,16,1,17,1,17,1,18,1,18,1,19,1,19,1,
        20,1,20,1,21,1,21,1,21,1,22,1,22,1,22,1,22,1,23,1,23,1,24,1,24,1,
        25,1,25,1,26,1,26,1,26,1,26,1,26,1,27,1,27,1,27,1,27,1,27,1,27,1,
        27,1,27,1,28,1,28,1,28,1,28,1,28,1,28,3,28,184,8,28,1,29,1,29,1,
        29,1,29,1,29,1,29,1,29,1,30,1,30,1,30,1,30,1,30,1,31,1,31,1,31,1,
        31,1,31,1,31,1,31,1,31,1,31,1,31,1,31,1,32,1,32,1,32,1,32,1,32,1,
        32,1,32,1,33,1,33,1,33,1,33,1,33,1,33,1,33,1,33,1,33,1,33,1,34,1,
        34,1,34,1,34,1,34,1,34,3,34,232,8,34,1,35,1,35,1,35,1,35,1,35,1,
        35,3,35,240,8,35,1,36,1,36,1,36,1,36,1,36,1,36,1,36,1,36,1,36,3,
        36,251,8,36,1,37,1,37,1,37,1,37,1,37,1,37,3,37,259,8,37,1,38,1,38,
        1,38,1,38,1,38,1,38,1,38,1,38,1,38,3,38,270,8,38,1,39,1,39,1,39,
        1,39,1,39,1,39,1,39,1,39,1,39,1,39,3,39,282,8,39,1,40,1,40,1,40,
        1,40,1,40,1,40,1,40,1,40,1,40,1,40,1,41,1,41,1,41,1,41,1,41,1,41,
        1,41,1,41,1,41,3,41,303,8,41,1,42,1,42,1,42,1,42,1,42,1,42,1,42,
        1,42,1,42,1,42,1,42,1,42,1,42,1,42,1,42,3,42,320,8,42,1,43,5,43,
        323,8,43,10,43,12,43,326,9,43,1,44,1,44,1,45,4,45,331,8,45,11,45,
        12,45,332,1,46,4,46,336,8,46,11,46,12,46,337,1,46,1,46,5,46,342,
        8,46,10,46,12,46,345,9,46,1,46,1,46,4,46,349,8,46,11,46,12,46,350,
        3,46,353,8,46,1,47,1,47,1,47,1,47,1,47,1,47,1,47,1,47,1,47,3,47,
        364,8,47,1,48,1,48,5,48,368,8,48,10,48,12,48,371,9,48,1,48,3,48,
        374,8,48,1,48,1,48,1,48,1,48,1,49,1,49,5,49,382,8,49,10,49,12,49,
        385,9,49,1,50,4,50,388,8,50,11,50,12,50,389,1,50,1,50,1,369,0,51,
        1,1,3,2,5,3,7,4,9,5,11,6,13,7,15,8,17,9,19,10,21,11,23,12,25,13,
        27,14,29,15,31,16,33,17,35,18,37,19,39,20,41,21,43,22,45,23,47,24,
        49,25,51,26,53,27,55,28,57,29,59,30,61,31,63,32,65,33,67,34,69,35,
        71,36,73,37,75,38,77,39,79,40,81,41,83,42,85,43,87,0,89,0,91,44,
        93,45,95,46,97,47,99,48,101,49,1,0,24,2,0,77,77,109,109,2,0,65,65,
        97,97,2,0,83,83,115,115,2,0,73,73,105,105,2,0,78,78,110,110,2,0,
        69,69,101,101,2,0,82,82,114,114,2,0,84,84,116,116,2,0,80,80,112,
        112,2,0,85,85,117,117,2,0,79,79,111,111,2,0,86,86,118,118,2,0,89,
        89,121,121,2,0,67,67,99,99,2,0,68,68,100,100,2,0,87,87,119,119,2,
        0,70,70,102,102,2,0,66,66,98,98,2,0,76,76,108,108,2,0,71,71,103,
        103,1,0,48,57,2,0,65,90,97,122,4,0,48,57,65,90,95,95,97,122,4,0,
        9,10,13,13,32,32,38,38,410,0,1,1,0,0,0,0,3,1,0,0,0,0,5,1,0,0,0,0,
        7,1,0,0,0,0,9,1,0,0,0,0,11,1,0,0,0,0,13,1,0,0,0,0,15,1,0,0,0,0,17,
        1,0,0,0,0,19,1,0,0,0,0,21,1,0,0,0,0,23,1,0,0,0,0,25,1,0,0,0,0,27,
        1,0,0,0,0,29,1,0,0,0,0,31,1,0,0,0,0,33,1,0,0,0,0,35,1,0,0,0,0,37,
        1,0,0,0,0,39,1,0,0,0,0,41,1,0,0,0,0,43,1,0,0,0,0,45,1,0,0,0,0,47,
        1,0,0,0,0,49,1,0,0,0,0,51,1,0,0,0,0,53,1,0,0,0,0,55,1,0,0,0,0,57,
        1,0,0,0,0,59,1,0,0,0,0,61,1,0,0,0,0,63,1,0,0,0,0,65,1,0,0,0,0,67,
        1,0,0,0,0,69,1,0,0,0,0,71,1,0,0,0,0,73,1,0,0,0,0,75,1,0,0,0,0,77,
        1,0,0,0,0,79,1,0,0,0,0,81,1,0,0,0,0,83,1,0,0,0,0,85,1,0,0,0,0,91,
        1,0,0,0,0,93,1,0,0,0,0,95,1,0,0,0,0,97,1,0,0,0,0,99,1,0,0,0,0,101,
        1,0,0,0,1,103,1,0,0,0,3,105,1,0,0,0,5,107,1,0,0,0,7,109,1,0,0,0,
        9,112,1,0,0,0,11,115,1,0,0,0,13,118,1,0,0,0,15,121,1,0,0,0,17,124,
        1,0,0,0,19,127,1,0,0,0,21,129,1,0,0,0,23,131,1,0,0,0,25,133,1,0,
        0,0,27,135,1,0,0,0,29,137,1,0,0,0,31,139,1,0,0,0,33,141,1,0,0,0,
        35,143,1,0,0,0,37,145,1,0,0,0,39,147,1,0,0,0,41,149,1,0,0,0,43,151,
        1,0,0,0,45,154,1,0,0,0,47,158,1,0,0,0,49,160,1,0,0,0,51,162,1,0,
        0,0,53,164,1,0,0,0,55,169,1,0,0,0,57,177,1,0,0,0,59,185,1,0,0,0,
        61,192,1,0,0,0,63,197,1,0,0,0,65,208,1,0,0,0,67,215,1,0,0,0,69,225,
        1,0,0,0,71,233,1,0,0,0,73,241,1,0,0,0,75,252,1,0,0,0,77,260,1,0,
        0,0,79,271,1,0,0,0,81,283,1,0,0,0,83,293,1,0,0,0,85,304,1,0,0,0,
        87,324,1,0,0,0,89,327,1,0,0,0,91,330,1,0,0,0,93,352,1,0,0,0,95,363,
        1,0,0,0,97,365,1,0,0,0,99,379,1,0,0,0,101,387,1,0,0,0,103,104,5,
        91,0,0,104,2,1,0,0,0,105,106,5,93,0,0,106,4,1,0,0,0,107,108,5,61,
        0,0,108,6,1,0,0,0,109,110,5,43,0,0,110,111,5,61,0,0,111,8,1,0,0,
        0,112,113,5,45,0,0,113,114,5,61,0,0,114,10,1,0,0,0,115,116,5,58,
        0,0,116,117,5,61,0,0,117,12,1,0,0,0,118,119,5,42,0,0,119,120,5,61,
        0,0,120,14,1,0,0,0,121,122,5,47,0,0,122,123,5,61,0,0,123,16,1,0,
        0,0,124,125,5,94,0,0,125,126,5,61,0,0,126,18,1,0,0,0,127,128,5,44,
        0,0,128,20,1,0,0,0,129,130,5,39,0,0,130,22,1,0,0,0,131,132,5,40,
        0,0,132,24,1,0,0,0,133,134,5,41,0,0,134,26,1,0,0,0,135,136,5,123,
        0,0,136,28,1,0,0,0,137,138,5,125,0,0,138,30,1,0,0,0,139,140,5,58,
        0,0,140,32,1,0,0,0,141,142,5,43,0,0,142,34,1,0,0,0,143,144,5,45,
        0,0,144,36,1,0,0,0,145,146,5,59,0,0,146,38,1,0,0,0,147,148,5,46,
        0,0,148,40,1,0,0,0,149,150,5,62,0,0,150,42,1,0,0,0,151,152,5,48,
        0,0,152,153,5,62,0,0,153,44,1,0,0,0,154,155,5,49,0,0,155,156,5,62,
        0,0,156,157,5,62,0,0,157,46,1,0,0,0,158,159,5,94,0,0,159,48,1,0,
        0,0,160,161,5,42,0,0,161,50,1,0,0,0,162,163,5,47,0,0,163,52,1,0,
        0,0,164,165,7,0,0,0,165,166,7,1,0,0,166,167,7,2,0,0,167,168,7,2,
        0,0,168,54,1,0,0,0,169,170,7,3,0,0,170,171,7,4,0,0,171,172,7,5,0,
        0,172,173,7,6,0,0,173,174,7,7,0,0,174,175,7,3,0,0,175,176,7,1,0,
        0,176,56,1,0,0,0,177,178,7,3,0,0,178,179,7,4,0,0,179,180,7,8,0,0,
        180,181,7,9,0,0,181,183,7,7,0,0,182,184,7,2,0,0,183,182,1,0,0,0,
        183,184,1,0,0,0,184,58,1,0,0,0,185,186,7,10,0,0,186,187,7,9,0,0,
        187,188,7,7,0,0,188,189,7,8,0,0,189,190,7,9,0,0,190,191,7,7,0,0,
        191,60,1,0,0,0,192,193,7,2,0,0,193,194,7,1,0,0,194,195,7,11,0,0,
        195,196,7,5,0,0,196,62,1,0,0,0,197,198,7,9,0,0,198,199,7,4,0,0,199,
        200,7,3,0,0,200,201,7,7,0,0,201,202,7,2,0,0,202,203,7,12,0,0,203,
        204,7,2,0,0,204,205,7,7,0,0,205,206,7,5,0,0,206,207,7,0,0,0,207,
        64,1,0,0,0,208,209,7,5,0,0,209,210,7,4,0,0,210,211,7,13,0,0,211,
        212,7,10,0,0,212,213,7,14,0,0,213,214,7,5,0,0,214,66,1,0,0,0,215,
        216,7,4,0,0,216,217,7,5,0,0,217,218,7,15,0,0,218,219,7,7,0,0,219,
        220,7,10,0,0,220,221,7,4,0,0,221,222,7,3,0,0,222,223,7,1,0,0,223,
        224,7,4,0,0,224,68,1,0,0,0,225,226,7,16,0,0,226,227,7,6,0,0,227,
        228,7,1,0,0,228,229,7,0,0,0,229,231,7,5,0,0,230,232,7,2,0,0,231,
        230,1,0,0,0,231,232,1,0,0,0,232,70,1,0,0,0,233,234,7,17,0,0,234,
        235,7,10,0,0,235,236,7,14,0,0,236,237,7,3,0,0,237,239,7,5,0,0,238,
        240,7,2,0,0,239,238,1,0,0,0,239,240,1,0,0,0,240,72,1,0,0,0,241,242,
        7,8,0,0,242,243,7,1,0,0,243,244,7,6,0,0,244,245,7,7,0,0,245,246,
        7,3,0,0,246,247,7,13,0,0,247,248,7,18,0,0,248,250,7,5,0,0,249,251,
        7,2,0,0,250,249,1,0,0,0,250,251,1,0,0,0,251,74,1,0,0,0,252,253,7,
        8,0,0,253,254,7,10,0,0,254,255,7,3,0,0,255,256,7,4,0,0,256,258,7,
        7,0,0,257,259,7,2,0,0,258,257,1,0,0,0,258,259,1,0,0,0,259,76,1,0,
        0,0,260,261,7,13,0,0,261,262,7,10,0,0,262,263,7,4,0,0,263,264,7,
        2,0,0,264,265,7,7,0,0,265,266,7,1,0,0,266,267,7,4,0,0,267,269,7,
        7,0,0,268,270,7,2,0,0,269,268,1,0,0,0,269,270,1,0,0,0,270,78,1,0,
        0,0,271,272,7,2,0,0,272,273,7,8,0,0,273,274,7,5,0,0,274,275,7,13,
        0,0,275,276,7,3,0,0,276,277,7,16,0,0,277,278,7,3,0,0,278,279,7,5,
        0,0,279,281,7,14,0,0,280,282,7,2,0,0,281,280,1,0,0,0,281,282,1,0,
        0,0,282,80,1,0,0,0,283,284,7,3,0,0,284,285,7,0,0,0,285,286,7,1,0,
        0,286,287,7,19,0,0,287,288,7,3,0,0,288,289,7,4,0,0,289,290,7,1,0,
        0,290,291,7,6,0,0,291,292,7,12,0,0,292,82,1,0,0,0,293,294,7,11,0,
        0,294,295,7,1,0,0,295,296,7,6,0,0,296,297,7,3,0,0,297,298,7,1,0,
        0,298,299,7,17,0,0,299,300,7,18,0,0,300,302,7,5,0,0,301,303,7,2,
        0,0,302,301,1,0,0,0,302,303,1,0,0,0,303,84,1,0,0,0,304,305,7,0,0,
        0,305,306,7,10,0,0,306,307,7,7,0,0,307,308,7,3,0,0,308,309,7,10,
        0,0,309,310,7,4,0,0,310,311,7,11,0,0,311,312,7,1,0,0,312,313,7,6,
        0,0,313,314,7,3,0,0,314,315,7,1,0,0,315,316,7,17,0,0,316,317,7,18,
        0,0,317,319,7,5,0,0,318,320,7,2,0,0,319,318,1,0,0,0,319,320,1,0,
        0,0,320,86,1,0,0,0,321,323,5,39,0,0,322,321,1,0,0,0,323,326,1,0,
        0,0,324,322,1,0,0,0,324,325,1,0,0,0,325,88,1,0,0,0,326,324,1,0,0,
        0,327,328,7,20,0,0,328,90,1,0,0,0,329,331,7,20,0,0,330,329,1,0,0,
        0,331,332,1,0,0,0,332,330,1,0,0,0,332,333,1,0,0,0,333,92,1,0,0,0,
        334,336,3,89,44,0,335,334,1,0,0,0,336,337,1,0,0,0,337,335,1,0,0,
        0,337,338,1,0,0,0,338,339,1,0,0,0,339,343,5,46,0,0,340,342,3,89,
        44,0,341,340,1,0,0,0,342,345,1,0,0,0,343,341,1,0,0,0,343,344,1,0,
        0,0,344,353,1,0,0,0,345,343,1,0,0,0,346,348,5,46,0,0,347,349,3,89,
        44,0,348,347,1,0,0,0,349,350,1,0,0,0,350,348,1,0,0,0,350,351,1,0,
        0,0,351,353,1,0,0,0,352,335,1,0,0,0,352,346,1,0,0,0,353,94,1,0,0,
        0,354,355,3,93,46,0,355,356,5,69,0,0,356,357,3,91,45,0,357,364,1,
        0,0,0,358,359,3,93,46,0,359,360,5,69,0,0,360,361,5,45,0,0,361,362,
        3,91,45,0,362,364,1,0,0,0,363,354,1,0,0,0,363,358,1,0,0,0,364,96,
        1,0,0,0,365,369,5,37,0,0,366,368,9,0,0,0,367,366,1,0,0,0,368,371,
        1,0,0,0,369,370,1,0,0,0,369,367,1,0,0,0,370,373,1,0,0,0,371,369,
        1,0,0,0,372,374,5,13,0,0,373,372,1,0,0,0,373,374,1,0,0,0,374,375,
        1,0,0,0,375,376,5,10,0,0,376,377,1,0,0,0,377,378,6,48,0,0,378,98,
        1,0,0,0,379,383,7,21,0,0,380,382,7,22,0,0,381,380,1,0,0,0,382,385,
        1,0,0,0,383,381,1,0,0,0,383,384,1,0,0,0,384,100,1,0,0,0,385,383,
        1,0,0,0,386,388,7,23,0,0,387,386,1,0,0,0,388,389,1,0,0,0,389,387,
        1,0,0,0,389,390,1,0,0,0,390,391,1,0,0,0,391,392,6,50,0,0,392,102,
        1,0,0,0,21,0,183,231,239,250,258,269,281,302,319,324,332,337,343,
        350,352,363,369,373,383,389,1,6,0,0
    ]

class AutolevLexer(Lexer):

    atn = ATNDeserializer().deserialize(serializedATN())

    decisionsToDFA = [ DFA(ds, i) for i, ds in enumerate(atn.decisionToState) ]

    T__0 = 1
    T__1 = 2
    T__2 = 3
    T__3 = 4
    T__4 = 5
    T__5 = 6
    T__6 = 7
    T__7 = 8
    T__8 = 9
    T__9 = 10
    T__10 = 11
    T__11 = 12
    T__12 = 13
    T__13 = 14
    T__14 = 15
    T__15 = 16
    T__16 = 17
    T__17 = 18
    T__18 = 19
    T__19 = 20
    T__20 = 21
    T__21 = 22
    T__22 = 23
    T__23 = 24
    T__24 = 25
    T__25 = 26
    Mass = 27
    Inertia = 28
    Input = 29
    Output = 30
    Save = 31
    UnitSystem = 32
    Encode = 33
    Newtonian = 34
    Frames = 35
    Bodies = 36
    Particles = 37
    Points = 38
    Constants = 39
    Specifieds = 40
    Imaginary = 41
    Variables = 42
    MotionVariables = 43
    INT = 44
    FLOAT = 45
    EXP = 46
    LINE_COMMENT = 47
    ID = 48
    WS = 49

    channelNames = [ u"DEFAULT_TOKEN_CHANNEL", u"HIDDEN" ]

    modeNames = [ "DEFAULT_MODE" ]

    literalNames = [ "<INVALID>",
            "'['", "']'", "'='", "'+='", "'-='", "':='", "'*='", "'/='",
            "'^='", "','", "'''", "'('", "')'", "'{'", "'}'", "':'", "'+'",
            "'-'", "';'", "'.'", "'>'", "'0>'", "'1>>'", "'^'", "'*'", "'/'" ]

    symbolicNames = [ "<INVALID>",
            "Mass", "Inertia", "Input", "Output", "Save", "UnitSystem",
            "Encode", "Newtonian", "Frames", "Bodies", "Particles", "Points",
            "Constants", "Specifieds", "Imaginary", "Variables", "MotionVariables",
            "INT", "FLOAT", "EXP", "LINE_COMMENT", "ID", "WS" ]

    ruleNames = [ "T__0", "T__1", "T__2", "T__3", "T__4", "T__5", "T__6",
                  "T__7", "T__8", "T__9", "T__10", "T__11", "T__12", "T__13",
                  "T__14", "T__15", "T__16", "T__17", "T__18", "T__19",
                  "T__20", "T__21", "T__22", "T__23", "T__24", "T__25",
                  "Mass", "Inertia", "Input", "Output", "Save", "UnitSystem",
                  "Encode", "Newtonian", "Frames", "Bodies", "Particles",
                  "Points", "Constants", "Specifieds", "Imaginary", "Variables",
                  "MotionVariables", "DIFF", "DIGIT", "INT", "FLOAT", "EXP",
                  "LINE_COMMENT", "ID", "WS" ]

    grammarFileName = "Autolev.g4"

    def __init__(self, input=None, output:TextIO = sys.stdout):
        super().__init__(input, output)
        self.checkVersion("4.11.1")
        self._interp = LexerATNSimulator(self, self.atn, self.decisionsToDFA, PredictionContextCache())
        self._actions = None
        self._predicates = None