tra-analysis/analysis-master/tra_analysis/equation/parser/BNF.py

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tra-analysis v 3.0.0 aggregate PR (#73) * reflected doc changes to README.md Signed-off-by: Arthur Lu <learthurgo@gmail.com> * tra_analysis v 2.1.0-alpha.1 Signed-off-by: Arthur Lu <learthurgo@gmail.com> * changed setup.py to use __version__ from source added Topic and keywords Signed-off-by: Arthur Lu <learthurgo@gmail.com> * updated Supported Platforms in README.md Signed-off-by: Arthur Lu <learthurgo@gmail.com> * moved required files back to parent Signed-off-by: Arthur Lu <learthurgo@gmail.com> * moved security back to parent Signed-off-by: Arthur Lu <learthurgo@gmail.com> * moved security back to parent moved contributing back to parent Signed-off-by: Arthur Lu <learthurgo@gmail.com> * add PR template Signed-off-by: Arthur Lu <learthurgo@gmail.com> * moved to parent folder Signed-off-by: Arthur Lu <learthurgo@gmail.com> * moved meta files to .github folder Signed-off-by: Arthur Lu <learthurgo@gmail.com> * Analysis.py v 3.0.1 Signed-off-by: Arthur Lu <learthurgo@gmail.com> * updated test_analysis for submodules, and added missing numpy import in Sort.py * fixed item one of Issue #58 Signed-off-by: Arthur Lu <learthurgo@gmail.com> * readded cache searching in postCreateCommand Signed-off-by: Arthur Lu <learthurgo@gmail.com> * added myself as an author * feat: created kivy gui boilerplate * added Kivy to requirements.txt Signed-off-by: Arthur Lu <learthurgo@gmail.com> * feat: gui with placeholders * fix: changed config.json path * migrated docker base image to debian Signed-off-by: ltcptgeneral <learthurgo@gmail.com> * style: spaces to tabs * migrated to ubuntu Signed-off-by: ltcptgeneral <learthurgo@gmail.com> * fixed issues Signed-off-by: ltcptgeneral <learthurgo@gmail.com> * fix: docker build? * fix: use ubuntu bionic * fix: get kivy installed * @ltcptgeneral can't spell * optim dockerfile for not installing unused packages * install basic stuff while building the container * use prebuilt image for development * install pylint on base image * rename and use new kivy * tests: added tests for Array and CorrelationTest Both are not working due to errors * use new thing * use 20.04 base * symlink pip3 to pip * use pip instead of pip3 * equation.Expression.py v 0.0.1-alpha added corresponding .pyc to .gitignore * parser.py v 0.0.2-alpha * added pyparsing to requirements.txt * parser v 0.0.4-alpha * Equation v 0.0.1-alpha * added Equation to tra_analysis imports * tests: New unit tests for submoduling (#66) * feat: created kivy gui boilerplate * migrated docker base image to debian Signed-off-by: ltcptgeneral <learthurgo@gmail.com> * migrated to ubuntu Signed-off-by: ltcptgeneral <learthurgo@gmail.com> * fixed issues Signed-off-by: ltcptgeneral <learthurgo@gmail.com> * fix: docker build? * fix: use ubuntu bionic * fix: get kivy installed * @ltcptgeneral can't spell * optim dockerfile for not installing unused packages * install basic stuff while building the container * use prebuilt image for development * install pylint on base image * rename and use new kivy * tests: added tests for Array and CorrelationTest Both are not working due to errors * fix: Array no longer has *args and CorrelationTest functions no longer have self in the arguments * use new thing * use 20.04 base * symlink pip3 to pip * use pip instead of pip3 * tra_analysis v 2.1.0-alpha.2 SVM v 1.0.1 added unvalidated SVM unit tests Signed-off-by: ltcptgeneral <learthurgo@gmail.com> * fixed version number Signed-off-by: ltcptgeneral <learthurgo@gmail.com> * tests: added tests for ClassificationMetric * partially fixed and commented out svm unit tests * fixed some SVM unit tests * added installing pytest to devcontainer.json * fix: small fixes to KNN Namely, removing self from parameters and passing correct arguments to KNeighborsClassifier constructor * fix, test: Added tests for KNN and NaiveBayes. Also made some small fixes in KNN, NaiveBayes, and RegressionMetric * test: finished unit tests except for StatisticalTest Also made various small fixes and style changes * StatisticalTest v 1.0.1 * fixed RegressionMetric unit test temporarily disabled CorrelationTest unit tests * tra_analysis v 2.1.0-alpha.3 * readded __all__ * fix: floating point issues in unit tests for CorrelationTest Co-authored-by: AGawde05 <agawde05@gmail.com> Co-authored-by: ltcptgeneral <learthurgo@gmail.com> Co-authored-by: Dev Singh <dev@devksingh.com> Co-authored-by: jzpan1 <panzhenyu2014@gmail.com> * fixed depreciated escape sequences * ficed tests, indent, import in test_analysis * changed version to 3.0.0 added backwards compatibility * ficed pytest install in container * removed GUI changes Signed-off-by: Arthur Lu <learthurgo@gmail.com> * incremented version to rc.1 (release candidate 1) Signed-off-by: Arthur Lu <learthurgo@gmail.com> * fixed NaiveBayes __changelog__ Signed-off-by: Arthur Lu <learthurgo@gmail.com> * fix: __setitem__ == to single = * Array v 1.0.1 * Revert "Array v 1.0.1" This reverts commit 59783b79f7451586bc9741794589e00f0c625348. * Array v 1.0.1 * Array.py v 1.0.2 added more Array unit tests * cleaned .gitignore tra_analysis v 3.0.0-rc2 Signed-off-by: Arthur Lu <learthurgo@gmail.com> * added *.pyc to gitignore finished subdividing test_analysis * feat: gui layout + basic func * Froze and removed superscript (data-analysis) * remove data-analysis deps install for devcontainer * tukey pairwise comparison and multicomparison but no critical q-values * quick patch for devcontainer.json * better fix for devcontainer.json * fixed some styling in StatisticalTest removed print statement in StatisticalTest unit tests * update analysis tests to be more effecient * don't use loop for test_nativebayes * removed useless secondary docker files * tra-analysis v 3.0.0 Co-authored-by: James Pan <panzhenyu2014@gmail.com> Co-authored-by: AGawde05 <agawde05@gmail.com> Co-authored-by: zpan1 <72054510+zpan1@users.noreply.github.com> Co-authored-by: Dev Singh <dev@devksingh.com> Co-authored-by: = <=> Co-authored-by: Dev Singh <dsingh@imsa.edu> Co-authored-by: zpan1 <zpan@imsa.edu>
2021-04-29 00:33:50 +00:00
from __future__ import division
from pyparsing import (Literal, CaselessLiteral, Word, Combine, Group, Optional, ZeroOrMore, Forward, nums, alphas, oneOf)
from . import py2
import math
import operator
class BNF(object):
def pushFirst(self, strg, loc, toks):
self.exprStack.append(toks[0])
def pushUMinus(self, strg, loc, toks):
if toks and toks[0] == '-':
self.exprStack.append('unary -')
def __init__(self):
"""
expop :: '^'
multop :: '*' | '/'
addop :: '+' | '-'
integer :: ['+' | '-'] '0'..'9'+
atom :: PI | E | real | fn '(' expr ')' | '(' expr ')'
factor :: atom [ expop factor ]*
term :: factor [ multop factor ]*
expr :: term [ addop term ]*
"""
point = Literal(".")
e = CaselessLiteral("E")
fnumber = Combine(Word("+-" + nums, nums) +
Optional(point + Optional(Word(nums))) +
Optional(e + Word("+-" + nums, nums)))
ident = Word(alphas, alphas + nums + "_$")
plus = Literal("+")
minus = Literal("-")
mult = Literal("*")
div = Literal("/")
lpar = Literal("(").suppress()
rpar = Literal(")").suppress()
addop = plus | minus
multop = mult | div
expop = Literal("^")
pi = CaselessLiteral("PI")
expr = Forward()
atom = ((Optional(oneOf("- +")) +
(ident + lpar + expr + rpar | pi | e | fnumber).setParseAction(self.pushFirst))
| Optional(oneOf("- +")) + Group(lpar + expr + rpar)
).setParseAction(self.pushUMinus)
factor = Forward()
factor << atom + \
ZeroOrMore((expop + factor).setParseAction(self.pushFirst))
term = factor + \
ZeroOrMore((multop + factor).setParseAction(self.pushFirst))
expr << term + \
ZeroOrMore((addop + term).setParseAction(self.pushFirst))
self.bnf = expr
epsilon = 1e-12
self.opn = {"+": operator.add,
"-": operator.sub,
"*": operator.mul,
"/": operator.truediv,
"^": operator.pow}
self.fn = {"sin": math.sin,
"cos": math.cos,
"tan": math.tan,
"exp": math.exp,
"abs": abs,
"trunc": lambda a: int(a),
"round": round,
"sgn": lambda a: abs(a) > epsilon and py2.cmp(a, 0) or 0}
def evaluateStack(self, s):
op = s.pop()
if op == 'unary -':
return -self.evaluateStack(s)
if op in "+-*/^":
op2 = self.evaluateStack(s)
op1 = self.evaluateStack(s)
return self.opn[op](op1, op2)
elif op == "PI":
return math.pi
elif op == "E":
return math.e
elif op in self.fn:
return self.fn[op](self.evaluateStack(s))
elif op[0].isalpha():
return 0
else:
return float(op)
def eval(self, num_string, parseAll=True):
self.exprStack = []
results = self.bnf.parseString(num_string, parseAll)
val = self.evaluateStack(self.exprStack[:])
return val