mirror of
https://github.com/titanscouting/tra-analysis.git
synced 2024-12-28 02:09:08 +00:00
9f71ab3aad
* 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 59783b79f7
.
* 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>
521 lines
15 KiB
Python
521 lines
15 KiB
Python
from .Hybrid_Utils import Core, ExpressionFunction, ExpressionVariable, ExpressionValue
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import sys
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if sys.version_info >= (3,):
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xrange = range
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basestring = str
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class HybridExpressionParser(object):
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def __init__(self,core,expression,argorder=[],*args,**kwargs):
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super(HybridExpressionParser,self).__init__(*args,**kwargs)
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if isinstance(expression,type(self)): # clone the object
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self.core = core
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self.__args = list(expression.__args)
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self.__vars = dict(expression.__vars) # intenral array of preset variables
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self.__argsused = set(expression.__argsused)
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self.__expr = list(expression.__expr)
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self.variables = {} # call variables
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else:
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self.__expression = expression
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self.__args = argorder;
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self.__vars = {} # intenral array of preset variables
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self.__argsused = set()
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self.__expr = [] # compiled equation tokens
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self.variables = {} # call variables
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self.__compile()
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del self.__expression
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def __getitem__(self, name):
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if name in self.__argsused:
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if name in self.__vars:
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return self.__vars[name]
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else:
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return None
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else:
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raise KeyError(name)
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def __setitem__(self,name,value):
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if name in self.__argsused:
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self.__vars[name] = value
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else:
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raise KeyError(name)
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def __delitem__(self,name):
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if name in self.__argsused:
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if name in self.__vars:
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del self.__vars[name]
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else:
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raise KeyError(name)
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def __contains__(self, name):
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return name in self.__argsused
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def __call__(self,*args,**kwargs):
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if len(self.__expr) == 0:
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return None
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self.variables = {}
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self.variables.update(self.core.constants)
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self.variables.update(self.__vars)
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if len(args) > len(self.__args):
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raise TypeError("<{0:s}.{1:s}({2:s}) object at {3:0=#10x}>() takes at most {4:d} arguments ({5:d} given)".format(
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type(self).__module__,type(self).__name__,repr(self),id(self),len(self.__args),len(args)))
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for i in xrange(len(args)):
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if i < len(self.__args):
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if self.__args[i] in kwargs:
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raise TypeError("<{0:s}.{1:s}({2:s}) object at {3:0=#10x}>() got multiple values for keyword argument '{4:s}'".format(
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type(self).__module__,type(self).__name__,repr(self),id(self),self.__args[i]))
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self.variables[self.__args[i]] = args[i]
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self.variables.update(kwargs)
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for arg in self.__argsused:
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if arg not in self.variables:
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min_args = len(self.__argsused - (set(self.__vars.keys()) | set(self.core.constants.keys())))
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raise TypeError("<{0:s}.{1:s}({2:s}) object at {3:0=#10x}>() takes at least {4:d} arguments ({5:d} given) '{6:s}' not defined".format(
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type(self).__module__,type(self).__name__,repr(self),id(self),min_args,len(args)+len(kwargs),arg))
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expr = self.__expr[::-1]
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args = []
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while len(expr) > 0:
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t = expr.pop()
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r = t(args,self)
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args.append(r)
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if len(args) > 1:
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return args
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else:
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return args[0]
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def __next(self,__expect_op):
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if __expect_op:
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m = self.core.gematch.match(self.__expression)
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if m != None:
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self.__expression = self.__expression[m.end():]
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g = m.groups()
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return g[0],'CLOSE'
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m = self.core.smatch.match(self.__expression)
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if m != None:
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self.__expression = self.__expression[m.end():]
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return ",",'SEP'
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m = self.core.omatch.match(self.__expression)
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if m != None:
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self.__expression = self.__expression[m.end():]
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g = m.groups()
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return g[0],'OP'
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else:
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m = self.core.gsmatch.match(self.__expression)
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if m != None:
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self.__expression = self.__expression[m.end():]
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g = m.groups()
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return g[0],'OPEN'
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m = self.core.vmatch.match(self.__expression)
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if m != None:
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self.__expression = self.__expression[m.end():]
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g = m.groupdict(0)
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if g['dec']:
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if g["ivalue"]:
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return complex(int(g["rsign"]+"1")*float(g["rvalue"])*10**int(g["rexpoent"]),int(g["isign"]+"1")*float(g["ivalue"])*10**int(g["iexpoent"])),'VALUE'
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elif g["rexpoent"] or g["rvalue"].find('.')>=0:
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return int(g["rsign"]+"1")*float(g["rvalue"])*10**int(g["rexpoent"]),'VALUE'
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else:
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return int(g["rsign"]+"1")*int(g["rvalue"]),'VALUE'
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elif g["hex"]:
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return int(g["hexsign"]+"1")*int(g["hexvalue"],16),'VALUE'
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elif g["oct"]:
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return int(g["octsign"]+"1")*int(g["octvalue"],8),'VALUE'
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elif g["bin"]:
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return int(g["binsign"]+"1")*int(g["binvalue"],2),'VALUE'
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else:
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raise NotImplemented("'{0:s}' Values Not Implemented Yet".format(m.string))
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m = self.core.nmatch.match(self.__expression)
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if m != None:
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self.__expression = self.__expression[m.end():]
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g = m.groups()
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return g[0],'NAME'
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m = self.core.fmatch.match(self.__expression)
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if m != None:
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self.__expression = self.__expression[m.end():]
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g = m.groups()
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return g[0],'FUNC'
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m = self.core.umatch.match(self.__expression)
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if m != None:
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self.__expression = self.__expression[m.end():]
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g = m.groups()
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return g[0],'UNARY'
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return None
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def show(self):
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"""Show RPN tokens
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This will print out the internal token list (RPN) of the expression
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one token perline.
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"""
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for expr in self.__expr:
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print(expr)
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def __str__(self):
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"""str(fn)
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Generates a Printable version of the Expression
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Returns
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-------
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str
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Latex String respresation of the Expression, suitable for rendering the equation
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"""
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expr = self.__expr[::-1]
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if len(expr) == 0:
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return ""
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args = [];
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while len(expr) > 0:
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t = expr.pop()
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r = t.toStr(args,self)
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args.append(r)
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if len(args) > 1:
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return args
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else:
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return args[0]
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def __repr__(self):
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"""repr(fn)
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Generates a String that correctrly respresents the equation
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Returns
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-------
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str
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Convert the Expression to a String that passed to the constructor, will constuct
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an identical equation object (in terms of sequence of tokens, and token type/value)
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"""
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expr = self.__expr[::-1]
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if len(expr) == 0:
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return ""
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args = [];
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while len(expr) > 0:
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t = expr.pop()
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r = t.toRepr(args,self)
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args.append(r)
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if len(args) > 1:
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return args
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else:
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return args[0]
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def __iter__(self):
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return iter(self.__argsused)
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def __lt__(self, other):
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if isinstance(other, Expression):
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return repr(self) < repr(other)
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else:
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raise TypeError("{0:s} is not an {1:s} Object, and can't be compared to an Expression Object".format(repr(other), type(other)))
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def __eq__(self, other):
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if isinstance(other, Expression):
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return repr(self) == repr(other)
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else:
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raise TypeError("{0:s} is not an {1:s} Object, and can't be compared to an Expression Object".format(repr(other), type(other)))
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def __combine(self,other,op):
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if op not in self.core.ops or not isinstance(other,(int,float,complex,type(self),basestring)):
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return NotImplemented
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else:
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obj = type(self)(self)
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if isinstance(other,(int,float,complex)):
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obj.__expr.append(ExpressionValue(other))
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else:
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if isinstance(other,basestring):
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try:
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other = type(self)(other)
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except:
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raise SyntaxError("Can't Convert string, \"{0:s}\" to an Expression Object".format(other))
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obj.__expr += other.__expr
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obj.__argsused |= other.__argsused
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for v in other.__args:
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if v not in obj.__args:
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obj.__args.append(v)
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for k,v in other.__vars.items():
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if k not in obj.__vars:
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obj.__vars[k] = v
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elif v != obj.__vars[k]:
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raise RuntimeError("Predifined Variable Conflict in '{0:s}' two differing values defined".format(k))
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fn = self.core.ops[op]
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obj.__expr.append(ExpressionFunction(fn['func'],fn['args'],fn['str'],fn['latex'],op,False))
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return obj
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def __rcombine(self,other,op):
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if op not in self.core.ops or not isinstance(other,(int,float,complex,type(self),basestring)):
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return NotImplemented
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else:
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obj = type(self)(self)
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if isinstance(other,(int,float,complex)):
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obj.__expr.insert(0,ExpressionValue(other))
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else:
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if isinstance(other,basestring):
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try:
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other = type(self)(other)
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except:
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raise SyntaxError("Can't Convert string, \"{0:s}\" to an Expression Object".format(other))
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obj.__expr = other.__expr + self.__expr
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obj.__argsused = other.__argsused | self.__expr
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__args = other.__args
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for v in obj.__args:
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if v not in __args:
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__args.append(v)
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obj.__args = __args
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for k,v in other.__vars.items():
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if k not in obj.__vars:
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obj.__vars[k] = v
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elif v != obj.__vars[k]:
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raise RuntimeError("Predifined Variable Conflict in '{0:s}' two differing values defined".format(k))
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fn = self.core.ops[op]
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obj.__expr.append(ExpressionFunction(fn['func'],fn['args'],fn['str'],fn['latex'],op,False))
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return obj
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def __icombine(self,other,op):
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if op not in self.core.ops or not isinstance(other,(int,float,complex,type(self),basestring)):
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return NotImplemented
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else:
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obj = self
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if isinstance(other,(int,float,complex)):
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obj.__expr.append(ExpressionValue(other))
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else:
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if isinstance(other,basestring):
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try:
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other = type(self)(other)
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except:
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raise SyntaxError("Can't Convert string, \"{0:s}\" to an Expression Object".format(other))
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obj.__expr += other.__expr
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obj.__argsused |= other.__argsused
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for v in other.__args:
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if v not in obj.__args:
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obj.__args.append(v)
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for k,v in other.__vars.items():
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if k not in obj.__vars:
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obj.__vars[k] = v
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elif v != obj.__vars[k]:
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raise RuntimeError("Predifined Variable Conflict in '{0:s}' two differing values defined".format(k))
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fn = self.core.ops[op]
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obj.__expr.append(ExpressionFunction(fn['func'],fn['args'],fn['str'],fn['latex'],op,False))
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return obj
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def __apply(self,op):
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fn = self.core.unary_ops[op]
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obj = type(self)(self)
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obj.__expr.append(ExpressionFunction(fn['func'],1,fn['str'],fn['latex'],op,False))
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return obj
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def __applycall(self,op):
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fn = self.core.functions[op]
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if 1 not in fn['args'] or '*' not in fn['args']:
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raise RuntimeError("Can't Apply {0:s} function, dosen't accept only 1 argument".format(op))
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obj = type(self)(self)
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obj.__expr.append(ExpressionFunction(fn['func'],1,fn['str'],fn['latex'],op,False))
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return obj
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def __add__(self,other):
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return self.__combine(other,'+')
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def __sub__(self,other):
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return self.__combine(other,'-')
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def __mul__(self,other):
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return self.__combine(other,'*')
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def __div__(self,other):
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return self.__combine(other,'/')
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def __truediv__(self,other):
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return self.__combine(other,'/')
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def __pow__(self,other):
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return self.__combine(other,'^')
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def __mod__(self,other):
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return self.__combine(other,'%')
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def __and__(self,other):
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return self.__combine(other,'&')
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def __or__(self,other):
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return self.__combine(other,'|')
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def __xor__(self,other):
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return self.__combine(other,'</>')
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def __radd__(self,other):
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return self.__rcombine(other,'+')
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def __rsub__(self,other):
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return self.__rcombine(other,'-')
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def __rmul__(self,other):
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return self.__rcombine(other,'*')
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def __rdiv__(self,other):
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return self.__rcombine(other,'/')
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def __rtruediv__(self,other):
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return self.__rcombine(other,'/')
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def __rpow__(self,other):
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return self.__rcombine(other,'^')
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def __rmod__(self,other):
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return self.__rcombine(other,'%')
|
|
|
|
def __rand__(self,other):
|
|
return self.__rcombine(other,'&')
|
|
|
|
def __ror__(self,other):
|
|
return self.__rcombine(other,'|')
|
|
|
|
def __rxor__(self,other):
|
|
return self.__rcombine(other,'</>')
|
|
|
|
def __iadd__(self,other):
|
|
return self.__icombine(other,'+')
|
|
|
|
def __isub__(self,other):
|
|
return self.__icombine(other,'-')
|
|
|
|
def __imul__(self,other):
|
|
return self.__icombine(other,'*')
|
|
|
|
def __idiv__(self,other):
|
|
return self.__icombine(other,'/')
|
|
|
|
def __itruediv__(self,other):
|
|
return self.__icombine(other,'/')
|
|
|
|
def __ipow__(self,other):
|
|
return self.__icombine(other,'^')
|
|
|
|
def __imod__(self,other):
|
|
return self.__icombine(other,'%')
|
|
|
|
def __iand__(self,other):
|
|
return self.__icombine(other,'&')
|
|
|
|
def __ior__(self,other):
|
|
return self.__icombine(other,'|')
|
|
|
|
def __ixor__(self,other):
|
|
return self.__icombine(other,'</>')
|
|
|
|
def __neg__(self):
|
|
return self.__apply('-')
|
|
|
|
def __invert__(self):
|
|
return self.__apply('!')
|
|
|
|
def __abs__(self):
|
|
return self.__applycall('abs')
|
|
|
|
def __getfunction(self,op):
|
|
if op[1] == 'FUNC':
|
|
fn = self.core.functions[op[0]]
|
|
fn['type'] = 'FUNC'
|
|
elif op[1] == 'UNARY':
|
|
fn = self.core.unary_ops[op[0]]
|
|
fn['type'] = 'UNARY'
|
|
fn['args'] = 1
|
|
elif op[1] == 'OP':
|
|
fn = self.core.ops[op[0]]
|
|
fn['type'] = 'OP'
|
|
return fn
|
|
|
|
def __compile(self):
|
|
self.__expr = []
|
|
stack = []
|
|
argc = []
|
|
__expect_op = False
|
|
v = self.__next(__expect_op)
|
|
while v != None:
|
|
if not __expect_op and v[1] == "OPEN":
|
|
stack.append(v)
|
|
__expect_op = False
|
|
elif __expect_op and v[1] == "CLOSE":
|
|
op = stack.pop()
|
|
while op[1] != "OPEN":
|
|
fs = self.__getfunction(op)
|
|
self.__expr.append(ExpressionFunction(fs['func'],fs['args'],fs['str'],fs['latex'],op[0],False))
|
|
op = stack.pop()
|
|
if len(stack) > 0 and stack[-1][0] in self.core.functions:
|
|
op = stack.pop()
|
|
fs = self.core.functions[op[0]]
|
|
args = argc.pop()
|
|
if fs['args'] != '+' and (args != fs['args'] and args not in fs['args']):
|
|
raise SyntaxError("Invalid number of arguments for {0:s} function".format(op[0]))
|
|
self.__expr.append(ExpressionFunction(fs['func'],args,fs['str'],fs['latex'],op[0],True))
|
|
__expect_op = True
|
|
elif __expect_op and v[0] == ",":
|
|
argc[-1] += 1
|
|
op = stack.pop()
|
|
while op[1] != "OPEN":
|
|
fs = self.__getfunction(op)
|
|
self.__expr.append(ExpressionFunction(fs['func'],fs['args'],fs['str'],fs['latex'],op[0],False))
|
|
op = stack.pop()
|
|
stack.append(op)
|
|
__expect_op = False
|
|
elif __expect_op and v[0] in self.core.ops:
|
|
fn = self.core.ops[v[0]]
|
|
if len(stack) == 0:
|
|
stack.append(v)
|
|
__expect_op = False
|
|
v = self.__next(__expect_op)
|
|
continue
|
|
op = stack.pop()
|
|
if op[0] == "(":
|
|
stack.append(op)
|
|
stack.append(v)
|
|
__expect_op = False
|
|
v = self.__next(__expect_op)
|
|
continue
|
|
fs = self.__getfunction(op)
|
|
while True:
|
|
if (fn['prec'] >= fs['prec']):
|
|
self.__expr.append(ExpressionFunction(fs['func'],fs['args'],fs['str'],fs['latex'],op[0],False))
|
|
if len(stack) == 0:
|
|
stack.append(v)
|
|
break
|
|
op = stack.pop()
|
|
if op[0] == "(":
|
|
stack.append(op)
|
|
stack.append(v)
|
|
break
|
|
fs = self.__getfunction(op)
|
|
else:
|
|
stack.append(op)
|
|
stack.append(v)
|
|
break
|
|
__expect_op = False
|
|
elif not __expect_op and v[0] in self.core.unary_ops:
|
|
fn = self.core.unary_ops[v[0]]
|
|
stack.append(v)
|
|
__expect_op = False
|
|
elif not __expect_op and v[0] in self.core.functions:
|
|
stack.append(v)
|
|
argc.append(1)
|
|
__expect_op = False
|
|
elif not __expect_op and v[1] == 'NAME':
|
|
self.__argsused.add(v[0])
|
|
if v[0] not in self.__args:
|
|
self.__args.append(v[0])
|
|
self.__expr.append(ExpressionVariable(v[0]))
|
|
__expect_op = True
|
|
elif not __expect_op and v[1] == 'VALUE':
|
|
self.__expr.append(ExpressionValue(v[0]))
|
|
__expect_op = True
|
|
else:
|
|
raise SyntaxError("Invalid Token \"{0:s}\" in Expression, Expected {1:s}".format(v,"Op" if __expect_op else "Value"))
|
|
v = self.__next(__expect_op)
|
|
if len(stack) > 0:
|
|
op = stack.pop()
|
|
while op != "(":
|
|
fs = self.__getfunction(op)
|
|
self.__expr.append(ExpressionFunction(fs['func'],fs['args'],fs['str'],fs['latex'],op[0],False))
|
|
if len(stack) > 0:
|
|
op = stack.pop()
|
|
else:
|
|
break |