Initial import: grid-bot — grid trading bot for BTC-USDT on Cifra Markets

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Kolp
2026-09-24 13:22:23 +07:00
commit 642cc11a9f
18968 changed files with 5683248 additions and 0 deletions
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"""
Sandbox module of SymPy.
This module contains experimental code, use at your own risk!
There is no warranty that this code will still be located here in future
versions of SymPy.
"""
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from sympy.tensor import Indexed
from sympy.core.containers import Tuple
from sympy.core.symbol import Dummy
from sympy.core.sympify import sympify
from sympy.integrals.integrals import Integral
class IndexedIntegral(Integral):
"""
Experimental class to test integration by indexed variables.
Usage is analogue to ``Integral``, it simply adds awareness of
integration over indices.
Contraction of non-identical index symbols referring to the same
``IndexedBase`` is not yet supported.
Examples
========
>>> from sympy.sandbox.indexed_integrals import IndexedIntegral
>>> from sympy import IndexedBase, symbols
>>> A = IndexedBase('A')
>>> i, j = symbols('i j', integer=True)
>>> ii = IndexedIntegral(A[i], A[i])
>>> ii
Integral(_A[i], _A[i])
>>> ii.doit()
A[i]**2/2
If the indices are different, indexed objects are considered to be
different variables:
>>> i2 = IndexedIntegral(A[j], A[i])
>>> i2
Integral(A[j], _A[i])
>>> i2.doit()
A[i]*A[j]
"""
def __new__(cls, function, *limits, **assumptions):
repl, limits = IndexedIntegral._indexed_process_limits(limits)
function = sympify(function)
function = function.xreplace(repl)
obj = Integral.__new__(cls, function, *limits, **assumptions)
obj._indexed_repl = repl
obj._indexed_reverse_repl = {val: key for key, val in repl.items()}
return obj
def doit(self):
res = super().doit()
return res.xreplace(self._indexed_reverse_repl)
@staticmethod
def _indexed_process_limits(limits):
repl = {}
newlimits = []
for i in limits:
if isinstance(i, (tuple, list, Tuple)):
v = i[0]
vrest = i[1:]
else:
v = i
vrest = ()
if isinstance(v, Indexed):
if v not in repl:
r = Dummy(str(v))
repl[v] = r
newlimits.append((r,)+vrest)
else:
newlimits.append(i)
return repl, newlimits
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from sympy.sandbox.indexed_integrals import IndexedIntegral
from sympy.core.symbol import symbols
from sympy.functions.elementary.trigonometric import (cos, sin)
from sympy.tensor.indexed import (Idx, IndexedBase)
def test_indexed_integrals():
A = IndexedBase('A')
i, j = symbols('i j', integer=True)
a1, a2 = symbols('a1:3', cls=Idx)
assert isinstance(a1, Idx)
assert IndexedIntegral(1, A[i]).doit() == A[i]
assert IndexedIntegral(A[i], A[i]).doit() == A[i] ** 2 / 2
assert IndexedIntegral(A[j], A[i]).doit() == A[i] * A[j]
assert IndexedIntegral(A[i] * A[j], A[i]).doit() == A[i] ** 2 * A[j] / 2
assert IndexedIntegral(sin(A[i]), A[i]).doit() == -cos(A[i])
assert IndexedIntegral(sin(A[j]), A[i]).doit() == sin(A[j]) * A[i]
assert IndexedIntegral(1, A[a1]).doit() == A[a1]
assert IndexedIntegral(A[a1], A[a1]).doit() == A[a1] ** 2 / 2
assert IndexedIntegral(A[a2], A[a1]).doit() == A[a1] * A[a2]
assert IndexedIntegral(A[a1] * A[a2], A[a1]).doit() == A[a1] ** 2 * A[a2] / 2
assert IndexedIntegral(sin(A[a1]), A[a1]).doit() == -cos(A[a1])
assert IndexedIntegral(sin(A[a2]), A[a1]).doit() == sin(A[a2]) * A[a1]