File size: 4,887 Bytes
cc646d3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
from sympy import *
from sympy.abc import *
from output_util import to_latex, sign2cmp, to_latexes
from sgntools import lin_func_sgn
from solution import *

_data = {
    (1,): {
        "constant_term": a / q**2 + 2 * a / q**3 - 2 * b / q**3 - 6 * b / q**4,
        "eq_term": a / q**2 - 2 * a / q**3 + b / q**2 - 4 * b / q**3 + 6 * b / q**4,
    },
    (2,): {
        "constant_term": -2 * a / q**3
        - 12 * a / q**4
        - 24 * a / q**5
        + 6 * b / q**4
        + 48 * b / q**5
        + 120 * b / q**6,
        "eq_term": 2 * a / q**3
        - 12 * a / q**4
        + 24 * a / q**5
        + 2 * b / q**3
        - 18 * b / q**4
        + 72 * b / q**5
        - 120 * b / q**6,
    },
    (3,): {
        "constant_term": 6 * a / q**4
        + 72 * a / q**5
        + 360 * a / q**6
        + 720 * a / q**7
        - 24 * b / q**5
        - 360 * b / q**6
        - 2160 * b / q**7
        - 5040 * b / q**8,
        "eq_term": 6 * a / q**4
        - 72 * a / q**5
        + 360 * a / q**6
        - 720 * a / q**7
        + 6 * b / q**4
        - 96 * b / q**5
        + 720 * b / q**6
        - 2880 * b / q**7
        + 5040 * b / q**8,
    },
    (4,): {
        "constant_term": -24 * a / q**5
        - 480 * a / q**6
        - 4320 * a / q**7
        - 20160 * a / q**8
        - 40320 * a / q**9
        + 120 * b / q**6
        + 2880 * b / q**7
        + 30240 * b / q**8
        + 161280 * b / q**9
        + 362880 * b / q**10,
        "eq_term": 24 * a / q**5
        - 480 * a / q**6
        + 4320 * a / q**7
        - 20160 * a / q**8
        + 40320 * a / q**9
        + 24 * b / q**5
        - 600 * b / q**6
        + 7200 * b / q**7
        - 50400 * b / q**8
        + 201600 * b / q**9
        - 362880 * b / q**10,
    },
    (5,): {
        "constant_term": 120 * a / q**6
        + 3600 * a / q**7
        + 50400 * a / q**8
        + 403200 * a / q**9
        + 1814400 * a / q**10
        + 3628800 * a / q**11
        - 720 * b / q**7
        - 25200 * b / q**8
        - 403200 * b / q**9
        - 3628800 * b / q**10
        - 18144000 * b / q**11
        - 39916800 * b / q**12,
        "eq_term": 120 * a / q**6
        - 3600 * a / q**7
        + 50400 * a / q**8
        - 403200 * a / q**9
        + 1814400 * a / q**10
        - 3628800 * a / q**11
        + 120 * b / q**6
        - 4320 * b / q**7
        + 75600 * b / q**8
        - 806400 * b / q**9
        + 5443200 * b / q**10
        - 21772800 * b / q**11
        + 39916800 * b / q**12,
    },
    (6,): {
        "constant_term": -720 * a / q**7
        - 30240 * a / q**8
        - 604800 * a / q**9
        - 7257600 * a / q**10
        - 54432000 * a / q**11
        - 239500800 * a / q**12
        - 479001600 * a / q**13
        + 5040 * b / q**8
        + 241920 * b / q**9
        + 5443200 * b / q**10
        + 72576000 * b / q**11
        + 598752000 * b / q**12
        + 2874009600 * b / q**13
        + 6227020800 * b / q**14,
        "eq_term": 720 * a / q**7
        - 30240 * a / q**8
        + 604800 * a / q**9
        - 7257600 * a / q**10
        + 54432000 * a / q**11
        - 239500800 * a / q**12
        + 479001600 * a / q**13
        + 720 * b / q**7
        - 35280 * b / q**8
        + 846720 * b / q**9
        - 12700800 * b / q**10
        + 127008000 * b / q**11
        - 838252800 * b / q**12
        + 3353011200 * b / q**13
        - 6227020800 * b / q**14,
    },
}


class EQIntegrate(GetIntegrateFromData):
    data = _data

    def get_integrate_args(self, try_arg):
        n, q = try_arg
        return x**n * (1 - x) ** n * (a + b * x) * e ** (q * x), (x, 0, 1)

    def tries(self, try_arg):
        n, q_value = try_arg
        return {key: expr.subs(q, q_value) for key, expr in self.data[(n,)].items()}


class EQSolution(Solution):
    def __init__(self, q1, q2, u, v):
        if q2 == 0 or v == 0:
            raise BadInput()

        self.q = q1 / q2  # 输入都是 Rational 类型的,可以不损失精度相除
        self.u = u
        self.v = v

        self.get_integrate = EQIntegrate()
        self.symbols = (a, b)

        self.integrate_result_classes_eq = {
            "eq_term": v,
            CONSTANT_TERM_KEY: -u,
        }
        # check
        self.check_sgn = lin_func_sgn

    def get_tries_args(self):
        for (n,) in EQIntegrate.data.keys():
            yield n, self.q

    def get_latex_ans(self):
        try_arg, symbol_val, sgn = self.try_times()
        print(f"{(try_arg, symbol_val, sgn)=}")

        if try_arg is None:
            return None

        u, q = to_latexes(self.u, self.q)
        v = to_latex(self.v, is_coeff=True)
        I = self.get_integrate.get_latex(try_arg, symbol_val)
        return rf"{v}e^{q}-{u} = {I} {sign2cmp[sgn]} 0"


register("e^q", EQSolution)


if __name__ == "__main__":
    print(EQSolution(Rational(2), 1, 7, 1).get_latex_ans())