Change calc module
- Create a method called `parse_algebra`. It takes a string of math and returns with a `pyparsing.ParseResults` object representing it. - `evaluator` takes this tree and applies the old "parse actions" to it to get the same number as it used to. - Change calc's API: `evaluator` to use `case_sensitive` rather than `cs` - Add most of the capability for latex rendering
This commit is contained in:
@@ -4,129 +4,105 @@ Parser and evaluator for FormulaResponse and NumericalResponse
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Uses pyparsing to parse. Main function as of now is evaluator().
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"""
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import copy
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import math
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import operator
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import re
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import numbers
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import numpy
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import scipy.constants
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import calcfunctions
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# have numpy raise errors on functions outside its domain
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# Have numpy ignore errors on functions outside its domain.
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# See http://docs.scipy.org/doc/numpy/reference/generated/numpy.seterr.html
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# TODO worry about thread safety/changing a global setting
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numpy.seterr(all='ignore') # Also: 'ignore', 'warn' (default), 'raise'
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from pyparsing import (Word, nums, Literal,
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ZeroOrMore, MatchFirst,
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Optional, Forward,
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CaselessLiteral,
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stringEnd, Suppress, Combine)
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from pyparsing import (
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Word, Literal, CaselessLiteral, ZeroOrMore, MatchFirst, Optional, Forward,
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Group, ParseResults, stringEnd, Suppress, Combine, alphas, nums, alphanums
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)
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DEFAULT_FUNCTIONS = {'sin': numpy.sin,
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'cos': numpy.cos,
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'tan': numpy.tan,
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'sec': calcfunctions.sec,
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'csc': calcfunctions.csc,
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'cot': calcfunctions.cot,
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'sqrt': numpy.sqrt,
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'log10': numpy.log10,
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'log2': numpy.log2,
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'ln': numpy.log,
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'exp': numpy.exp,
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'arccos': numpy.arccos,
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'arcsin': numpy.arcsin,
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'arctan': numpy.arctan,
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'arcsec': calcfunctions.arcsec,
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'arccsc': calcfunctions.arccsc,
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'arccot': calcfunctions.arccot,
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'abs': numpy.abs,
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'fact': math.factorial,
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'factorial': math.factorial,
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'sinh': numpy.sinh,
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'cosh': numpy.cosh,
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'tanh': numpy.tanh,
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'sech': calcfunctions.sech,
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'csch': calcfunctions.csch,
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'coth': calcfunctions.coth,
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'arcsinh': numpy.arcsinh,
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'arccosh': numpy.arccosh,
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'arctanh': numpy.arctanh,
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'arcsech': calcfunctions.arcsech,
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'arccsch': calcfunctions.arccsch,
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'arccoth': calcfunctions.arccoth
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}
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DEFAULT_VARIABLES = {'i': numpy.complex(0, 1),
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'j': numpy.complex(0, 1),
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'e': numpy.e,
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'pi': numpy.pi,
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'k': scipy.constants.k,
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'c': scipy.constants.c,
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'T': 298.15,
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'q': scipy.constants.e
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}
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DEFAULT_FUNCTIONS = {
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'sin': numpy.sin,
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'cos': numpy.cos,
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'tan': numpy.tan,
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'sec': calcfunctions.sec,
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'csc': calcfunctions.csc,
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'cot': calcfunctions.cot,
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'sqrt': numpy.sqrt,
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'log10': numpy.log10,
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'log2': numpy.log2,
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'ln': numpy.log,
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'exp': numpy.exp,
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'arccos': numpy.arccos,
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'arcsin': numpy.arcsin,
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'arctan': numpy.arctan,
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'arcsec': calcfunctions.arcsec,
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'arccsc': calcfunctions.arccsc,
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'arccot': calcfunctions.arccot,
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'abs': numpy.abs,
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'fact': math.factorial,
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'factorial': math.factorial,
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'sinh': numpy.sinh,
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'cosh': numpy.cosh,
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'tanh': numpy.tanh,
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'sech': calcfunctions.sech,
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'csch': calcfunctions.csch,
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'coth': calcfunctions.coth,
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'arcsinh': numpy.arcsinh,
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'arccosh': numpy.arccosh,
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'arctanh': numpy.arctanh,
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'arcsech': calcfunctions.arcsech,
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'arccsch': calcfunctions.arccsch,
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'arccoth': calcfunctions.arccoth
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}
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DEFAULT_VARIABLES = {
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'i': numpy.complex(0, 1),
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'j': numpy.complex(0, 1),
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'e': numpy.e,
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'pi': numpy.pi,
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'k': scipy.constants.k, # Boltzmann: 1.3806488e-23 (Joules/Kelvin)
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'c': scipy.constants.c, # Light Speed: 2.998e8 (m/s)
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'T': 298.15, # 0 deg C = T Kelvin
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'q': scipy.constants.e # Fund. Charge: 1.602176565e-19 (Coulombs)
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}
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# We eliminated the following extreme suffixes:
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# P (1e15), E (1e18), Z (1e21), Y (1e24),
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# f (1e-15), a (1e-18), z (1e-21), y (1e-24)
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# since they're rarely used, and potentially
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# confusing. They may also conflict with variables if we ever allow e.g.
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# 5R instead of 5*R
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SUFFIXES = {'%': 0.01, 'k': 1e3, 'M': 1e6, 'G': 1e9, 'T': 1e12,
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'c': 1e-2, 'm': 1e-3, 'u': 1e-6, 'n': 1e-9, 'p': 1e-12}
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# P (1e15), E (1e18), Z (1e21), Y (1e24),
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# f (1e-15), a (1e-18), z (1e-21), y (1e-24)
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# since they're rarely used, and potentially confusing.
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# They may also conflict with variables if we ever allow e.g.
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# 5R instead of 5*R
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SUFFIXES = {
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'%': 0.01, 'k': 1e3, 'M': 1e6, 'G': 1e9, 'T': 1e12,
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'c': 1e-2, 'm': 1e-3, 'u': 1e-6, 'n': 1e-9, 'p': 1e-12
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}
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class UndefinedVariable(Exception):
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"""
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Used to indicate the student input of a variable, which was unused by the
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instructor.
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Indicate when a student inputs a variable which was not expected.
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"""
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pass
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def check_variables(string, variables):
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"""
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Confirm the only variables in string are defined.
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Otherwise, raise an UndefinedVariable containing all bad variables.
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Pyparsing uses a left-to-right parser, which makes a more
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elegant approach pretty hopeless.
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"""
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general_whitespace = re.compile('[^\\w]+') # TODO consider non-ascii
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# List of all alnums in string
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possible_variables = re.split(general_whitespace, string)
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bad_variables = []
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for var in possible_variables:
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if len(var) == 0:
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continue
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if var[0].isdigit(): # Skip things that begin with numbers
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continue
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if var not in variables:
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bad_variables.append(var)
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if len(bad_variables) > 0:
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raise UndefinedVariable(' '.join(bad_variables))
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def lower_dict(input_dict):
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"""
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takes each key in the dict and makes it lowercase, still mapping to the
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same value.
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Convert all keys in a dictionary to lowercase; keep their original values.
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keep in mind that it is possible (but not useful?) to define different
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Keep in mind that it is possible (but not useful?) to define different
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variables that have the same lowercase representation. It would be hard to
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tell which is used in the final dict and which isn't.
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"""
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return {k.lower(): v for k, v in input_dict.iteritems()}
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# The following few functions define parse actions, which are run on lists of
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# results from each parse component. They convert the strings and (previously
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# The following few functions define evaluation actions, which are run on lists
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# of results from each parse component. They convert the strings and (previously
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# calculated) numbers into the number that component represents.
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def super_float(text):
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"""
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Like float, but with si extensions. 1k goes to 1000
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Like float, but with SI extensions. 1k goes to 1000.
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"""
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if text[-1] in SUFFIXES:
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return float(text[:-1]) * SUFFIXES[text[-1]]
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@@ -134,168 +110,314 @@ def super_float(text):
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return float(text)
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def number_parse_action(parse_result):
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def eval_number(parse_result):
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"""
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Create a float out of its string parts
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Create a float out of its string parts.
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e.g. [ '7', '.', '13' ] -> [ 7.13 ]
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Calls super_float above
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e.g. [ '7.13', 'e', '3' ] -> 7130
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Calls super_float above.
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"""
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return super_float("".join(parse_result))
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def exp_parse_action(parse_result):
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def eval_atom(parse_result):
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"""
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Take a list of numbers and exponentiate them, right to left
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Return the value wrapped by the atom.
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e.g. [ 3, 2, 3 ] (which is 3^2^3 = 3^(2^3)) -> 6561
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In the case of parenthesis, ignore them.
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"""
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# pyparsing.ParseResults doesn't play well with reverse()
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parse_result = reversed(parse_result)
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# the result of an exponentiation is called a power
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# Find first number in the list
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result = next(k for k in parse_result if isinstance(k, numbers.Number))
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return result
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def eval_power(parse_result):
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"""
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Take a list of numbers and exponentiate them, right to left.
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e.g. [ 2, 3, 2 ] -> 2^3^2 = 2^(3^2) -> 512
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(not to be interpreted (2^3)^2 = 64)
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"""
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# `reduce` will go from left to right; reverse the list.
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parse_result = reversed(
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[k for k in parse_result
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if isinstance(k, numbers.Number)] # Ignore the '^' marks.
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)
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# Having reversed it, raise `b` to the power of `a`.
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power = reduce(lambda a, b: b ** a, parse_result)
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return power
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def parallel(parse_result):
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def eval_parallel(parse_result):
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"""
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Compute numbers according to the parallel resistors operator
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Compute numbers according to the parallel resistors operator.
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BTW it is commutative. Its formula is given by
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out = 1 / (1/in1 + 1/in2 + ...)
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e.g. [ 1, 2 ] => 2/3
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e.g. [ 1, 2 ] -> 2/3
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Return NaN if there is a zero among the inputs
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Return NaN if there is a zero among the inputs.
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"""
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# convert from pyparsing.ParseResults, which doesn't support '0 in parse_result'
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parse_result = parse_result.asList()
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if len(parse_result) == 1:
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return parse_result[0]
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if 0 in parse_result:
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return float('nan')
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reciprocals = [1. / e for e in parse_result]
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reciprocals = [1. / e for e in parse_result
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if isinstance(e, numbers.Number)]
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return 1. / sum(reciprocals)
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def sum_parse_action(parse_result):
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def eval_sum(parse_result):
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"""
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Add the inputs
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Add the inputs, keeping in mind their sign.
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[ 1, '+', 2, '-', 3 ] -> 0
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Allow a leading + or -
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Allow a leading + or -.
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"""
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total = 0.0
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current_op = operator.add
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for token in parse_result:
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if token is '+':
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if token == '+':
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current_op = operator.add
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elif token is '-':
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elif token == '-':
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current_op = operator.sub
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else:
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total = current_op(total, token)
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return total
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def prod_parse_action(parse_result):
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def eval_product(parse_result):
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"""
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Multiply the inputs
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Multiply the inputs.
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[ 1, '*', 2, '/', 3 ] => 0.66
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[ 1, '*', 2, '/', 3 ] -> 0.66
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"""
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prod = 1.0
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current_op = operator.mul
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for token in parse_result:
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if token is '*':
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if token == '*':
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current_op = operator.mul
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elif token is '/':
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elif token == '/':
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current_op = operator.truediv
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else:
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prod = current_op(prod, token)
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return prod
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def evaluator(variables, functions, string, cs=False):
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def add_defaults(variables, functions, case_sensitive):
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"""
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Evaluate an expression. Variables are passed as a dictionary
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from string to value. Unary functions are passed as a dictionary
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from string to function. Variables must be floats.
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cs: Case sensitive
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Create dictionaries with both the default and user-defined variables.
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"""
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all_variables = copy.copy(DEFAULT_VARIABLES)
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all_functions = copy.copy(DEFAULT_FUNCTIONS)
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all_variables = dict(DEFAULT_VARIABLES)
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all_functions = dict(DEFAULT_FUNCTIONS)
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all_variables.update(variables)
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all_functions.update(functions)
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if not cs:
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string_cs = string.lower()
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all_functions = lower_dict(all_functions)
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if not case_sensitive:
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all_variables = lower_dict(all_variables)
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CasedLiteral = CaselessLiteral
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else:
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string_cs = string
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CasedLiteral = Literal
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all_functions = lower_dict(all_functions)
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check_variables(string_cs, set(all_variables.keys() + all_functions.keys()))
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return (all_variables, all_functions)
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if string.strip() == "":
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def evaluator(variables, functions, math_expr, case_sensitive=False):
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"""
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Evaluate an expression; that is, take a string of math and return a float.
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-Variables are passed as a dictionary from string to value. They must be
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python numbers.
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-Unary functions are passed as a dictionary from string to function.
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"""
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# No need to go further.
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if math_expr.strip() == "":
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return float('nan')
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# SI suffixes and percent
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number_suffix = MatchFirst([Literal(k) for k in SUFFIXES.keys()])
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plus_minus = Literal('+') | Literal('-')
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times_div = Literal('*') | Literal('/')
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# Parse the tree.
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math_interpreter = ParseAugmenter(math_expr, case_sensitive)
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math_interpreter.parse_algebra()
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number_part = Word(nums)
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# Get our variables together.
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all_variables, all_functions = add_defaults(variables, functions, case_sensitive)
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# 0.33 or 7 or .34 or 16.
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inner_number = (number_part + Optional("." + Optional(number_part))) | ("." + number_part)
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# by default pyparsing allows spaces between tokens--Combine prevents that
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inner_number = Combine(inner_number)
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# ...and check them
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math_interpreter.check_variables(all_variables, all_functions)
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# 0.33k or -17
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number = (inner_number
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+ Optional(CaselessLiteral("E") + Optional(plus_minus) + number_part)
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+ Optional(number_suffix))
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number.setParseAction(number_parse_action) # Convert to number
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# Create a recursion to evaluate the tree.
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if case_sensitive:
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casify = lambda x: x
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else:
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casify = lambda x: x.lower() # Lowercase for case insens.
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# Predefine recursive variables
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expr = Forward()
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evaluate_actions = {
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'number': eval_number,
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'variable': lambda x: all_variables[casify(x[0])],
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'function': lambda x: all_functions[casify(x[0])](x[1]),
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'atom': eval_atom,
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'power': eval_power,
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'parallel': eval_parallel,
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'product': eval_product,
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'sum': eval_sum
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}
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# Handle variables passed in.
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# E.g. if we have {'R':0.5}, we make the substitution.
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# We sort the list so that var names (like "e2") match before
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# mathematical constants (like "e"). This is kind of a hack.
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all_variables_keys = sorted(all_variables.keys(), key=len, reverse=True)
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varnames = MatchFirst([CasedLiteral(k) for k in all_variables_keys])
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varnames.setParseAction(
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lambda x: [all_variables[k] for k in x]
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)
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return math_interpreter.reduce_tree(evaluate_actions)
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# if all_variables were empty, then pyparsing wants
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# varnames = NoMatch()
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# this is not the case, as all_variables contains the defaults
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# Same thing for functions.
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all_functions_keys = sorted(all_functions.keys(), key=len, reverse=True)
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funcnames = MatchFirst([CasedLiteral(k) for k in all_functions_keys])
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function = funcnames + Suppress("(") + expr + Suppress(")")
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function.setParseAction(
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lambda x: [all_functions[x[0]](x[1])]
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)
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class ParseAugmenter(object):
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"""
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Holds the data for a particular parse.
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atom = number | function | varnames | Suppress("(") + expr + Suppress(")")
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Retains the `math_expr` and `case_sensitive` so they needn't be passed
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around method to method.
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Eventually holds the parse tree and sets of variables as well.
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"""
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def __init__(self, math_expr, case_sensitive=False):
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"""
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Create the ParseAugmenter for a given math expression string.
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# Do the following in the correct order to preserve order of operation
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pow_term = atom + ZeroOrMore(Suppress("^") + atom)
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pow_term.setParseAction(exp_parse_action) # 7^6
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par_term = pow_term + ZeroOrMore(Suppress('||') + pow_term) # 5k || 4k
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par_term.setParseAction(parallel)
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prod_term = par_term + ZeroOrMore(times_div + par_term) # 7 * 5 / 4 - 3
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prod_term.setParseAction(prod_parse_action)
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sum_term = Optional(plus_minus) + prod_term + ZeroOrMore(plus_minus + prod_term) # -5 + 4 - 3
|
||||
sum_term.setParseAction(sum_parse_action)
|
||||
expr << sum_term # finish the recursion
|
||||
return (expr + stringEnd).parseString(string)[0]
|
||||
Do the parsing later, when called like `OBJ.parse_algebra()`.
|
||||
"""
|
||||
self.case_sensitive = case_sensitive
|
||||
self.math_expr = math_expr
|
||||
self.tree = None
|
||||
self.variables_used = set()
|
||||
self.functions_used = set()
|
||||
|
||||
def vpa(tokens):
|
||||
"""
|
||||
When a variable is recognized, store it in `variables_used`.
|
||||
"""
|
||||
varname = tokens[0][0]
|
||||
self.variables_used.add(varname)
|
||||
|
||||
def fpa(tokens):
|
||||
"""
|
||||
When a function is recognized, store it in `functions_used`.
|
||||
"""
|
||||
varname = tokens[0][0]
|
||||
self.functions_used.add(varname)
|
||||
|
||||
self.variable_parse_action = vpa
|
||||
self.function_parse_action = fpa
|
||||
|
||||
def parse_algebra(self):
|
||||
"""
|
||||
Parse an algebraic expression into a tree.
|
||||
|
||||
Store a `pyparsing.ParseResult` in `self.tree` with proper groupings to
|
||||
reflect parenthesis and order of operations. Leave all operators in the
|
||||
tree and do not parse any strings of numbers into their float versions.
|
||||
|
||||
Adding the groups and result names makes the `repr()` of the result
|
||||
really gross. For debugging, use something like
|
||||
print OBJ.tree.asXML()
|
||||
"""
|
||||
# 0.33 or 7 or .34 or 16.
|
||||
number_part = Word(nums)
|
||||
inner_number = (number_part + Optional("." + Optional(number_part))) | ("." + number_part)
|
||||
# pyparsing allows spaces between tokens--`Combine` prevents that.
|
||||
inner_number = Combine(inner_number)
|
||||
|
||||
# SI suffixes and percent.
|
||||
number_suffix = MatchFirst(Literal(k) for k in SUFFIXES.keys())
|
||||
|
||||
# 0.33k or 17
|
||||
plus_minus = Literal('+') | Literal('-')
|
||||
number = Group(
|
||||
Optional(plus_minus) +
|
||||
inner_number +
|
||||
Optional(CaselessLiteral("E") + Optional(plus_minus) + number_part) +
|
||||
Optional(number_suffix)
|
||||
)
|
||||
number = number("number")
|
||||
|
||||
# Predefine recursive variables.
|
||||
expr = Forward()
|
||||
|
||||
# Handle variables passed in. They must start with letters/underscores
|
||||
# and may contain numbers afterward.
|
||||
inner_varname = Word(alphas + "_", alphanums + "_")
|
||||
varname = Group(inner_varname)("variable")
|
||||
varname.setParseAction(self.variable_parse_action)
|
||||
|
||||
# Same thing for functions.
|
||||
function = Group(inner_varname + Suppress("(") + expr + Suppress(")"))("function")
|
||||
function.setParseAction(self.function_parse_action)
|
||||
|
||||
atom = number | function | varname | "(" + expr + ")"
|
||||
atom = Group(atom)("atom")
|
||||
|
||||
# Do the following in the correct order to preserve order of operation.
|
||||
pow_term = atom + ZeroOrMore("^" + atom)
|
||||
pow_term = Group(pow_term)("power")
|
||||
|
||||
par_term = pow_term + ZeroOrMore('||' + pow_term) # 5k || 4k
|
||||
par_term = Group(par_term)("parallel")
|
||||
|
||||
prod_term = par_term + ZeroOrMore((Literal('*') | Literal('/')) + par_term) # 7 * 5 / 4
|
||||
prod_term = Group(prod_term)("product")
|
||||
|
||||
sum_term = Optional(plus_minus) + prod_term + ZeroOrMore(plus_minus + prod_term) # -5 + 4 - 3
|
||||
sum_term = Group(sum_term)("sum")
|
||||
|
||||
# Finish the recursion.
|
||||
expr << sum_term # pylint: disable=W0104
|
||||
self.tree = (expr + stringEnd).parseString(self.math_expr)[0]
|
||||
|
||||
def reduce_tree(self, handle_actions, terminal_converter=None):
|
||||
"""
|
||||
Call `handle_actions` recursively on `self.tree` and return result.
|
||||
|
||||
`handle_actions` is a dictionary of node names (e.g. 'product', 'sum',
|
||||
etc&) to functions. These functions are of the following form:
|
||||
-input: a list of processed child nodes. If it includes any terminal
|
||||
nodes in the list, they will be given as their processed forms also.
|
||||
-output: whatever to be passed to the level higher, and what to
|
||||
return for the final node.
|
||||
`terminal_converter` is a function that takes in a token and returns a
|
||||
processed form. The default of `None` just leaves them as strings.
|
||||
"""
|
||||
def handle_node(node):
|
||||
"""
|
||||
Return the result representing the node, using recursion.
|
||||
|
||||
Call the appropriate `handle_action` for this node. As its inputs,
|
||||
feed it the output of `handle_node` for each child node.
|
||||
"""
|
||||
if not isinstance(node, ParseResults):
|
||||
# Then treat it as a terminal node.
|
||||
if terminal_converter is None:
|
||||
return node
|
||||
else:
|
||||
return terminal_converter(node)
|
||||
|
||||
node_name = node.getName()
|
||||
if node_name not in handle_actions: # pragma: no cover
|
||||
raise Exception(u"Unknown branch name '{}'".format(node_name))
|
||||
|
||||
action = handle_actions[node_name]
|
||||
handled_kids = [handle_node(k) for k in node]
|
||||
return action(handled_kids)
|
||||
|
||||
# Find the value of the entire tree.
|
||||
return handle_node(self.tree)
|
||||
|
||||
def check_variables(self, valid_variables, valid_functions):
|
||||
"""
|
||||
Confirm that all the variables used in the tree are valid/defined.
|
||||
|
||||
Otherwise, raise an UndefinedVariable containing all bad variables.
|
||||
"""
|
||||
if self.case_sensitive:
|
||||
casify = lambda x: x
|
||||
else:
|
||||
casify = lambda x: x.lower() # Lowercase for case insens.
|
||||
|
||||
# Test if casify(X) is valid, but return the actual bad input (i.e. X)
|
||||
bad_vars = set(var for var in self.variables_used
|
||||
if casify(var) not in valid_variables)
|
||||
bad_vars.update(func for func in self.functions_used
|
||||
if casify(func) not in valid_functions)
|
||||
|
||||
if bad_vars:
|
||||
raise UndefinedVariable(' '.join(sorted(bad_vars)))
|
||||
|
||||
390
common/lib/calc/preview.py
Normal file
390
common/lib/calc/preview.py
Normal file
@@ -0,0 +1,390 @@
|
||||
"""
|
||||
Provide a `latex_preview` method similar in syntax to `evaluator`.
|
||||
|
||||
That is, given a math string, parse it and render each branch of the result,
|
||||
always returning valid latex.
|
||||
|
||||
Because intermediate values of the render contain more data than simply the
|
||||
string of latex, store it in a custom class `LatexRendered`.
|
||||
"""
|
||||
|
||||
from calc import ParseAugmenter, DEFAULT_VARIABLES, DEFAULT_FUNCTIONS, SUFFIXES
|
||||
|
||||
|
||||
class LatexRendered(object):
|
||||
"""
|
||||
Data structure to hold a typeset representation of some math.
|
||||
|
||||
Fields:
|
||||
-`latex` is a generated, valid latex string (as if it were standalone).
|
||||
-`sans_parens` is usually the same as `latex` except without the outermost
|
||||
parens (if applicable).
|
||||
-`tall` is a boolean representing if the latex has any elements extending
|
||||
above or below a normal height, specifically things of the form 'a^b' and
|
||||
'\frac{a}{b}'. This affects the height of wrapping parenthesis.
|
||||
"""
|
||||
def __init__(self, latex, parens=None, tall=False):
|
||||
"""
|
||||
Instantiate with the latex representing the math.
|
||||
|
||||
Optionally include parenthesis to wrap around it and the height.
|
||||
`parens` must be one of '(', '[' or '{'.
|
||||
`tall` is a boolean (see note above).
|
||||
"""
|
||||
self.latex = latex
|
||||
self.sans_parens = latex
|
||||
self.tall = tall
|
||||
|
||||
# Generate parens and overwrite `self.latex`.
|
||||
if parens is not None:
|
||||
left_parens = parens
|
||||
if left_parens == '{':
|
||||
left_parens = r'\{'
|
||||
|
||||
pairs = {'(': ')',
|
||||
'[': ']',
|
||||
r'\{': r'\}'}
|
||||
if left_parens not in pairs:
|
||||
raise Exception(
|
||||
u"Unknown parenthesis '{}': coder error".format(left_parens)
|
||||
)
|
||||
right_parens = pairs[left_parens]
|
||||
|
||||
if self.tall:
|
||||
left_parens = r"\left" + left_parens
|
||||
right_parens = r"\right" + right_parens
|
||||
|
||||
self.latex = u"{left}{expr}{right}".format(
|
||||
left=left_parens,
|
||||
expr=latex,
|
||||
right=right_parens
|
||||
)
|
||||
|
||||
def __repr__(self): # pragma: no cover
|
||||
"""
|
||||
Give a sensible representation of the object.
|
||||
|
||||
If `sans_parens` is different, include both.
|
||||
If `tall` then have '<[]>' around the code, otherwise '<>'.
|
||||
"""
|
||||
if self.latex == self.sans_parens:
|
||||
latex_repr = u'"{}"'.format(self.latex)
|
||||
else:
|
||||
latex_repr = u'"{}" or "{}"'.format(self.latex, self.sans_parens)
|
||||
|
||||
if self.tall:
|
||||
wrap = u'<[{}]>'
|
||||
else:
|
||||
wrap = u'<{}>'
|
||||
|
||||
return wrap.format(latex_repr)
|
||||
|
||||
|
||||
def render_number(children):
|
||||
"""
|
||||
Combine the elements forming the number, escaping the suffix if needed.
|
||||
"""
|
||||
children_latex = [k.latex for k in children]
|
||||
|
||||
suffix = ""
|
||||
if children_latex[-1] in SUFFIXES:
|
||||
suffix = children_latex.pop()
|
||||
suffix = ur"\text{{{s}}}".format(s=suffix)
|
||||
|
||||
# Exponential notation-- the "E" splits the mantissa and exponent
|
||||
if "E" in children_latex:
|
||||
pos = children_latex.index("E")
|
||||
mantissa = "".join(children_latex[:pos])
|
||||
exponent = "".join(children_latex[pos + 1:])
|
||||
latex = ur"{m}\!\times\!10^{{{e}}}{s}".format(
|
||||
m=mantissa, e=exponent, s=suffix
|
||||
)
|
||||
return LatexRendered(latex, tall=True)
|
||||
else:
|
||||
easy_number = "".join(children_latex)
|
||||
return LatexRendered(easy_number + suffix)
|
||||
|
||||
|
||||
def enrich_varname(varname):
|
||||
"""
|
||||
Prepend a backslash if we're given a greek character.
|
||||
"""
|
||||
greek = ("alpha beta gamma delta epsilon varepsilon zeta eta theta "
|
||||
"vartheta iota kappa lambda mu nu xi pi rho sigma tau upsilon "
|
||||
"phi varphi chi psi omega").split()
|
||||
|
||||
if varname in greek:
|
||||
return ur"\{letter}".format(letter=varname)
|
||||
else:
|
||||
return varname.replace("_", r"\_")
|
||||
|
||||
|
||||
def variable_closure(variables, casify):
|
||||
"""
|
||||
Wrap `render_variable` so it knows the variables allowed.
|
||||
"""
|
||||
def render_variable(children):
|
||||
"""
|
||||
Replace greek letters, otherwise escape the variable names.
|
||||
"""
|
||||
varname = children[0].latex
|
||||
if casify(varname) not in variables:
|
||||
pass # TODO turn unknown variable red or give some kind of error
|
||||
|
||||
first, _, second = varname.partition("_")
|
||||
|
||||
if second:
|
||||
# Then 'a_b' must become 'a_{b}'
|
||||
varname = ur"{a}_{{{b}}}".format(
|
||||
a=enrich_varname(first),
|
||||
b=enrich_varname(second)
|
||||
)
|
||||
else:
|
||||
varname = enrich_varname(varname)
|
||||
|
||||
return LatexRendered(varname) # .replace("_", r"\_"))
|
||||
return render_variable
|
||||
|
||||
|
||||
def function_closure(functions, casify):
|
||||
"""
|
||||
Wrap `render_function` so it knows the functions allowed.
|
||||
"""
|
||||
def render_function(children):
|
||||
"""
|
||||
Escape function names and give proper formatting to exceptions.
|
||||
|
||||
The exceptions being 'sqrt', 'log2', and 'log10' as of now.
|
||||
"""
|
||||
fname = children[0].latex
|
||||
if casify(fname) not in functions:
|
||||
pass # TODO turn unknown function red or give some kind of error
|
||||
|
||||
# Wrap the input of the function with parens or braces.
|
||||
inner = children[1].latex
|
||||
if fname == "sqrt":
|
||||
inner = u"{{{expr}}}".format(expr=inner)
|
||||
else:
|
||||
if children[1].tall:
|
||||
inner = ur"\left({expr}\right)".format(expr=inner)
|
||||
else:
|
||||
inner = u"({expr})".format(expr=inner)
|
||||
|
||||
# Correctly format the name of the function.
|
||||
if fname == "sqrt":
|
||||
fname = ur"\sqrt"
|
||||
elif fname == "log10":
|
||||
fname = ur"\log_{10}"
|
||||
elif fname == "log2":
|
||||
fname = ur"\log_2"
|
||||
else:
|
||||
fname = ur"\text{{{fname}}}".format(fname=fname)
|
||||
|
||||
# Put it together.
|
||||
latex = fname + inner
|
||||
return LatexRendered(latex, tall=children[1].tall)
|
||||
# Return the function within the closure.
|
||||
return render_function
|
||||
|
||||
|
||||
def render_power(children):
|
||||
"""
|
||||
Combine powers so that the latex is wrapped in curly braces correctly.
|
||||
|
||||
Also, if you have 'a^(b+c)' don't include that last set of parens:
|
||||
'a^{b+c}' is correct, whereas 'a^{(b+c)}' is extraneous.
|
||||
"""
|
||||
if len(children) == 1:
|
||||
return children[0]
|
||||
|
||||
children_latex = [k.latex for k in children if k.latex != "^"]
|
||||
children_latex[-1] = children[-1].sans_parens
|
||||
|
||||
raise_power = lambda x, y: u"{}^{{{}}}".format(y, x)
|
||||
latex = reduce(raise_power, reversed(children_latex))
|
||||
return LatexRendered(latex, tall=True)
|
||||
|
||||
|
||||
def render_parallel(children):
|
||||
"""
|
||||
Simply join the child nodes with a double vertical line.
|
||||
"""
|
||||
if len(children) == 1:
|
||||
return children[0]
|
||||
|
||||
children_latex = [k.latex for k in children if k.latex != "||"]
|
||||
latex = r"\|".join(children_latex)
|
||||
tall = any(k.tall for k in children)
|
||||
return LatexRendered(latex, tall=tall)
|
||||
|
||||
|
||||
def render_frac(numerator, denominator):
|
||||
r"""
|
||||
Given a list of elements in the numerator and denominator, return a '\frac'
|
||||
|
||||
Avoid parens if they are unnecessary (i.e. the only thing in that part).
|
||||
"""
|
||||
if len(numerator) == 1:
|
||||
num_latex = numerator[0].sans_parens
|
||||
else:
|
||||
num_latex = r"\cdot ".join(k.latex for k in numerator)
|
||||
|
||||
if len(denominator) == 1:
|
||||
den_latex = denominator[0].sans_parens
|
||||
else:
|
||||
den_latex = r"\cdot ".join(k.latex for k in denominator)
|
||||
|
||||
latex = ur"\frac{{{num}}}{{{den}}}".format(num=num_latex, den=den_latex)
|
||||
return latex
|
||||
|
||||
|
||||
def render_product(children):
|
||||
r"""
|
||||
Format products and division nicely.
|
||||
|
||||
Group bunches of adjacent, equal operators. Every time it switches from
|
||||
denominator to the next numerator, call `render_frac`. Join these groupings
|
||||
together with '\cdot's, ending on a numerator if needed.
|
||||
|
||||
Examples: (`children` is formed indirectly by the string on the left)
|
||||
'a*b' -> 'a\cdot b'
|
||||
'a/b' -> '\frac{a}{b}'
|
||||
'a*b/c/d' -> '\frac{a\cdot b}{c\cdot d}'
|
||||
'a/b*c/d*e' -> '\frac{a}{b}\cdot \frac{c}{d}\cdot e'
|
||||
"""
|
||||
if len(children) == 1:
|
||||
return children[0]
|
||||
|
||||
position = "numerator" # or denominator
|
||||
fraction_mode_ever = False
|
||||
numerator = []
|
||||
denominator = []
|
||||
latex = ""
|
||||
|
||||
for kid in children:
|
||||
if position == "numerator":
|
||||
if kid.latex == "*":
|
||||
pass # Don't explicitly add the '\cdot' yet.
|
||||
elif kid.latex == "/":
|
||||
# Switch to denominator mode.
|
||||
fraction_mode_ever = True
|
||||
position = "denominator"
|
||||
else:
|
||||
numerator.append(kid)
|
||||
else:
|
||||
if kid.latex == "*":
|
||||
# Switch back to numerator mode.
|
||||
# First, render the current fraction and add it to the latex.
|
||||
latex += render_frac(numerator, denominator) + r"\cdot "
|
||||
|
||||
# Reset back to beginning state
|
||||
position = "numerator"
|
||||
numerator = []
|
||||
denominator = []
|
||||
elif kid.latex == "/":
|
||||
pass # Don't explicitly add a '\frac' yet.
|
||||
else:
|
||||
denominator.append(kid)
|
||||
|
||||
# Add the fraction/numerator that we ended on.
|
||||
if position == "denominator":
|
||||
latex += render_frac(numerator, denominator)
|
||||
else:
|
||||
# We ended on a numerator--act like normal multiplication.
|
||||
num_latex = r"\cdot ".join(k.latex for k in numerator)
|
||||
latex += num_latex
|
||||
|
||||
tall = fraction_mode_ever or any(k.tall for k in children)
|
||||
return LatexRendered(latex, tall=tall)
|
||||
|
||||
|
||||
def render_sum(children):
|
||||
"""
|
||||
Concatenate elements, including the operators.
|
||||
"""
|
||||
if len(children) == 1:
|
||||
return children[0]
|
||||
|
||||
children_latex = [k.latex for k in children]
|
||||
latex = "".join(children_latex)
|
||||
tall = any(k.tall for k in children)
|
||||
return LatexRendered(latex, tall=tall)
|
||||
|
||||
|
||||
def render_atom(children):
|
||||
"""
|
||||
Properly handle parens, otherwise this is trivial.
|
||||
"""
|
||||
if len(children) == 3:
|
||||
return LatexRendered(
|
||||
children[1].latex,
|
||||
parens=children[0].latex,
|
||||
tall=children[1].tall
|
||||
)
|
||||
else:
|
||||
return children[0]
|
||||
|
||||
|
||||
def add_defaults(var, fun, case_sensitive=False):
|
||||
"""
|
||||
Create sets with both the default and user-defined variables.
|
||||
|
||||
Compare to calc.add_defaults
|
||||
"""
|
||||
var_items = set(DEFAULT_VARIABLES)
|
||||
fun_items = set(DEFAULT_FUNCTIONS)
|
||||
|
||||
var_items.update(var)
|
||||
fun_items.update(fun)
|
||||
|
||||
if not case_sensitive:
|
||||
var_items = set(k.lower() for k in var_items)
|
||||
fun_items = set(k.lower() for k in fun_items)
|
||||
|
||||
return var_items, fun_items
|
||||
|
||||
|
||||
def latex_preview(math_expr, variables=(), functions=(), case_sensitive=False):
|
||||
"""
|
||||
Convert `math_expr` into latex, guaranteeing its parse-ability.
|
||||
|
||||
Analagous to `evaluator`.
|
||||
"""
|
||||
# No need to go further
|
||||
if math_expr.strip() == "":
|
||||
return ""
|
||||
|
||||
# Parse tree
|
||||
latex_interpreter = ParseAugmenter(math_expr, case_sensitive)
|
||||
latex_interpreter.parse_algebra()
|
||||
|
||||
# Get our variables together.
|
||||
variables, functions = add_defaults(variables, functions, case_sensitive)
|
||||
|
||||
# Create a recursion to evaluate the tree.
|
||||
if case_sensitive:
|
||||
casify = lambda x: x
|
||||
else:
|
||||
casify = lambda x: x.lower() # Lowercase for case insens.
|
||||
|
||||
render_actions = {
|
||||
'number': render_number,
|
||||
'variable': variable_closure(variables, casify),
|
||||
'function': function_closure(functions, casify),
|
||||
'atom': render_atom,
|
||||
'power': render_power,
|
||||
'parallel': render_parallel,
|
||||
'product': render_product,
|
||||
'sum': render_sum
|
||||
}
|
||||
|
||||
backslash = "\\"
|
||||
wrap_escaped_strings = lambda s: LatexRendered(
|
||||
s.replace(backslash, backslash * 2)
|
||||
)
|
||||
|
||||
output = latex_interpreter.reduce_tree(
|
||||
render_actions,
|
||||
terminal_converter=wrap_escaped_strings
|
||||
)
|
||||
return output.latex
|
||||
@@ -14,7 +14,7 @@ class EvaluatorTest(unittest.TestCase):
|
||||
Go through all functionalities as specifically as possible--
|
||||
work from number input to functions and complex expressions
|
||||
Also test custom variable substitutions (i.e.
|
||||
`evaluator({'x':3.0},{}, '3*x')`
|
||||
`evaluator({'x':3.0}, {}, '3*x')`
|
||||
gives 9.0) and more.
|
||||
"""
|
||||
|
||||
@@ -41,37 +41,40 @@ class EvaluatorTest(unittest.TestCase):
|
||||
"""
|
||||
The string '.' should not evaluate to anything.
|
||||
"""
|
||||
self.assertRaises(ParseException, calc.evaluator, {}, {}, '.')
|
||||
self.assertRaises(ParseException, calc.evaluator, {}, {}, '1+.')
|
||||
with self.assertRaises(ParseException):
|
||||
calc.evaluator({}, {}, '.')
|
||||
with self.assertRaises(ParseException):
|
||||
calc.evaluator({}, {}, '1+.')
|
||||
|
||||
def test_trailing_period(self):
|
||||
"""
|
||||
Test that things like '4.' will be 4 and not throw an error
|
||||
"""
|
||||
try:
|
||||
self.assertEqual(4.0, calc.evaluator({}, {}, '4.'))
|
||||
except ParseException:
|
||||
self.fail("'4.' is a valid input, but threw an exception")
|
||||
self.assertEqual(4.0, calc.evaluator({}, {}, '4.'))
|
||||
|
||||
def test_exponential_answer(self):
|
||||
"""
|
||||
Test for correct interpretation of scientific notation
|
||||
"""
|
||||
answer = 50
|
||||
correct_responses = ["50", "50.0", "5e1", "5e+1",
|
||||
"50e0", "50.0e0", "500e-1"]
|
||||
correct_responses = [
|
||||
"50", "50.0", "5e1", "5e+1",
|
||||
"50e0", "50.0e0", "500e-1"
|
||||
]
|
||||
incorrect_responses = ["", "3.9", "4.1", "0", "5.01e1"]
|
||||
|
||||
for input_str in correct_responses:
|
||||
result = calc.evaluator({}, {}, input_str)
|
||||
fail_msg = "Expected '{0}' to equal {1}".format(
|
||||
input_str, answer)
|
||||
input_str, answer
|
||||
)
|
||||
self.assertEqual(answer, result, msg=fail_msg)
|
||||
|
||||
for input_str in incorrect_responses:
|
||||
result = calc.evaluator({}, {}, input_str)
|
||||
fail_msg = "Expected '{0}' to not equal {1}".format(
|
||||
input_str, answer)
|
||||
input_str, answer
|
||||
)
|
||||
self.assertNotEqual(answer, result, msg=fail_msg)
|
||||
|
||||
def test_si_suffix(self):
|
||||
@@ -80,17 +83,21 @@ class EvaluatorTest(unittest.TestCase):
|
||||
|
||||
For instance 'k' stand for 'kilo-' so '1k' should be 1,000
|
||||
"""
|
||||
test_mapping = [('4.2%', 0.042), ('2.25k', 2250), ('8.3M', 8300000),
|
||||
('9.9G', 9.9e9), ('1.2T', 1.2e12), ('7.4c', 0.074),
|
||||
('5.4m', 0.0054), ('8.7u', 0.0000087),
|
||||
('5.6n', 5.6e-9), ('4.2p', 4.2e-12)]
|
||||
test_mapping = [
|
||||
('4.2%', 0.042), ('2.25k', 2250), ('8.3M', 8300000),
|
||||
('9.9G', 9.9e9), ('1.2T', 1.2e12), ('7.4c', 0.074),
|
||||
('5.4m', 0.0054), ('8.7u', 0.0000087),
|
||||
('5.6n', 5.6e-9), ('4.2p', 4.2e-12)
|
||||
]
|
||||
|
||||
for (expr, answer) in test_mapping:
|
||||
tolerance = answer * 1e-6 # Make rel. tolerance, because of floats
|
||||
fail_msg = "Failure in testing suffix '{0}': '{1}' was not {2}"
|
||||
fail_msg = fail_msg.format(expr[-1], expr, answer)
|
||||
self.assertAlmostEqual(calc.evaluator({}, {}, expr), answer,
|
||||
delta=tolerance, msg=fail_msg)
|
||||
self.assertAlmostEqual(
|
||||
calc.evaluator({}, {}, expr), answer,
|
||||
delta=tolerance, msg=fail_msg
|
||||
)
|
||||
|
||||
def test_operator_sanity(self):
|
||||
"""
|
||||
@@ -104,19 +111,20 @@ class EvaluatorTest(unittest.TestCase):
|
||||
input_str = "{0} {1} {2}".format(var1, operator, var2)
|
||||
result = calc.evaluator({}, {}, input_str)
|
||||
fail_msg = "Failed on operator '{0}': '{1}' was not {2}".format(
|
||||
operator, input_str, answer)
|
||||
operator, input_str, answer
|
||||
)
|
||||
self.assertEqual(answer, result, msg=fail_msg)
|
||||
|
||||
def test_raises_zero_division_err(self):
|
||||
"""
|
||||
Ensure division by zero gives an error
|
||||
"""
|
||||
self.assertRaises(ZeroDivisionError, calc.evaluator,
|
||||
{}, {}, '1/0')
|
||||
self.assertRaises(ZeroDivisionError, calc.evaluator,
|
||||
{}, {}, '1/0.0')
|
||||
self.assertRaises(ZeroDivisionError, calc.evaluator,
|
||||
{'x': 0.0}, {}, '1/x')
|
||||
with self.assertRaises(ZeroDivisionError):
|
||||
calc.evaluator({}, {}, '1/0')
|
||||
with self.assertRaises(ZeroDivisionError):
|
||||
calc.evaluator({}, {}, '1/0.0')
|
||||
with self.assertRaises(ZeroDivisionError):
|
||||
calc.evaluator({'x': 0.0}, {}, '1/x')
|
||||
|
||||
def test_parallel_resistors(self):
|
||||
"""
|
||||
@@ -153,7 +161,8 @@ class EvaluatorTest(unittest.TestCase):
|
||||
input_str = "{0}({1})".format(fname, arg)
|
||||
result = calc.evaluator({}, {}, input_str)
|
||||
fail_msg = "Failed on function {0}: '{1}' was not {2}".format(
|
||||
fname, input_str, val)
|
||||
fname, input_str, val
|
||||
)
|
||||
self.assertAlmostEqual(val, result, delta=tolerance, msg=fail_msg)
|
||||
|
||||
def test_trig_functions(self):
|
||||
@@ -303,21 +312,29 @@ class EvaluatorTest(unittest.TestCase):
|
||||
"""
|
||||
|
||||
# Test sqrt
|
||||
self.assert_function_values('sqrt',
|
||||
[0, 1, 2, 1024], # -1
|
||||
[0, 1, 1.414, 32]) # 1j
|
||||
self.assert_function_values(
|
||||
'sqrt',
|
||||
[0, 1, 2, 1024], # -1
|
||||
[0, 1, 1.414, 32] # 1j
|
||||
)
|
||||
# sqrt(-1) is NAN not j (!!).
|
||||
|
||||
# Test logs
|
||||
self.assert_function_values('log10',
|
||||
[0.1, 1, 3.162, 1000000, '1+j'],
|
||||
[-1, 0, 0.5, 6, 0.151 + 0.341j])
|
||||
self.assert_function_values('log2',
|
||||
[0.5, 1, 1.414, 1024, '1+j'],
|
||||
[-1, 0, 0.5, 10, 0.5 + 1.133j])
|
||||
self.assert_function_values('ln',
|
||||
[0.368, 1, 1.649, 2.718, 42, '1+j'],
|
||||
[-1, 0, 0.5, 1, 3.738, 0.347 + 0.785j])
|
||||
self.assert_function_values(
|
||||
'log10',
|
||||
[0.1, 1, 3.162, 1000000, '1+j'],
|
||||
[-1, 0, 0.5, 6, 0.151 + 0.341j]
|
||||
)
|
||||
self.assert_function_values(
|
||||
'log2',
|
||||
[0.5, 1, 1.414, 1024, '1+j'],
|
||||
[-1, 0, 0.5, 10, 0.5 + 1.133j]
|
||||
)
|
||||
self.assert_function_values(
|
||||
'ln',
|
||||
[0.368, 1, 1.649, 2.718, 42, '1+j'],
|
||||
[-1, 0, 0.5, 1, 3.738, 0.347 + 0.785j]
|
||||
)
|
||||
|
||||
# Test abs
|
||||
self.assert_function_values('abs', [-1, 0, 1, 'j'], [1, 0, 1, 1])
|
||||
@@ -341,26 +358,28 @@ class EvaluatorTest(unittest.TestCase):
|
||||
"""
|
||||
|
||||
# Of the form ('expr', python value, tolerance (or None for exact))
|
||||
default_variables = [('j', 1j, None),
|
||||
('e', 2.7183, 1e-3),
|
||||
('pi', 3.1416, 1e-3),
|
||||
# c = speed of light
|
||||
('c', 2.998e8, 1e5),
|
||||
# 0 deg C = T Kelvin
|
||||
('T', 298.15, 0.01),
|
||||
# Note k = scipy.constants.k = 1.3806488e-23
|
||||
('k', 1.3806488e-23, 1e-26),
|
||||
# Note q = scipy.constants.e = 1.602176565e-19
|
||||
('q', 1.602176565e-19, 1e-22)]
|
||||
default_variables = [
|
||||
('i', 1j, None),
|
||||
('j', 1j, None),
|
||||
('e', 2.7183, 1e-4),
|
||||
('pi', 3.1416, 1e-4),
|
||||
('k', 1.3806488e-23, 1e-26), # Boltzmann constant (Joules/Kelvin)
|
||||
('c', 2.998e8, 1e5), # Light Speed in (m/s)
|
||||
('T', 298.15, 0.01), # 0 deg C = T Kelvin
|
||||
('q', 1.602176565e-19, 1e-22) # Fund. Charge (Coulombs)
|
||||
]
|
||||
for (variable, value, tolerance) in default_variables:
|
||||
fail_msg = "Failed on constant '{0}', not within bounds".format(
|
||||
variable)
|
||||
variable
|
||||
)
|
||||
result = calc.evaluator({}, {}, variable)
|
||||
if tolerance is None:
|
||||
self.assertEqual(value, result, msg=fail_msg)
|
||||
else:
|
||||
self.assertAlmostEqual(value, result,
|
||||
delta=tolerance, msg=fail_msg)
|
||||
self.assertAlmostEqual(
|
||||
value, result,
|
||||
delta=tolerance, msg=fail_msg
|
||||
)
|
||||
|
||||
def test_complex_expression(self):
|
||||
"""
|
||||
@@ -370,21 +389,51 @@ class EvaluatorTest(unittest.TestCase):
|
||||
self.assertAlmostEqual(
|
||||
calc.evaluator({}, {}, "(2^2+1.0)/sqrt(5e0)*5-1"),
|
||||
10.180,
|
||||
delta=1e-3)
|
||||
|
||||
delta=1e-3
|
||||
)
|
||||
self.assertAlmostEqual(
|
||||
calc.evaluator({}, {}, "1+1/(1+1/(1+1/(1+1)))"),
|
||||
1.6,
|
||||
delta=1e-3)
|
||||
delta=1e-3
|
||||
)
|
||||
self.assertAlmostEqual(
|
||||
calc.evaluator({}, {}, "10||sin(7+5)"),
|
||||
-0.567, delta=0.01)
|
||||
self.assertAlmostEqual(calc.evaluator({}, {}, "sin(e)"),
|
||||
0.41, delta=0.01)
|
||||
self.assertAlmostEqual(calc.evaluator({}, {}, "k*T/q"),
|
||||
0.025, delta=1e-3)
|
||||
self.assertAlmostEqual(calc.evaluator({}, {}, "e^(j*pi)"),
|
||||
-1, delta=1e-5)
|
||||
-0.567, delta=0.01
|
||||
)
|
||||
self.assertAlmostEqual(
|
||||
calc.evaluator({}, {}, "sin(e)"),
|
||||
0.41, delta=0.01
|
||||
)
|
||||
self.assertAlmostEqual(
|
||||
calc.evaluator({}, {}, "k*T/q"),
|
||||
0.025, delta=1e-3
|
||||
)
|
||||
self.assertAlmostEqual(
|
||||
calc.evaluator({}, {}, "e^(j*pi)"),
|
||||
-1, delta=1e-5
|
||||
)
|
||||
|
||||
def test_explicit_sci_notation(self):
|
||||
"""
|
||||
Expressions like 1.6*10^-3 (not 1.6e-3) it should evaluate.
|
||||
"""
|
||||
self.assertEqual(
|
||||
calc.evaluator({}, {}, "-1.6*10^-3"),
|
||||
-0.0016
|
||||
)
|
||||
self.assertEqual(
|
||||
calc.evaluator({}, {}, "-1.6*10^(-3)"),
|
||||
-0.0016
|
||||
)
|
||||
|
||||
self.assertEqual(
|
||||
calc.evaluator({}, {}, "-1.6*10^3"),
|
||||
-1600
|
||||
)
|
||||
self.assertEqual(
|
||||
calc.evaluator({}, {}, "-1.6*10^(3)"),
|
||||
-1600
|
||||
)
|
||||
|
||||
def test_simple_vars(self):
|
||||
"""
|
||||
@@ -404,19 +453,24 @@ class EvaluatorTest(unittest.TestCase):
|
||||
self.assertEqual(calc.evaluator(variables, {}, 'loooooong'), 6.4)
|
||||
|
||||
# Test a simple equation
|
||||
self.assertAlmostEqual(calc.evaluator(variables, {}, '3*x-y'),
|
||||
21.25, delta=0.01) # = 3 * 9.72 - 7.91
|
||||
self.assertAlmostEqual(calc.evaluator(variables, {}, 'x*y'),
|
||||
76.89, delta=0.01)
|
||||
self.assertAlmostEqual(
|
||||
calc.evaluator(variables, {}, '3*x-y'),
|
||||
21.25, delta=0.01 # = 3 * 9.72 - 7.91
|
||||
)
|
||||
self.assertAlmostEqual(
|
||||
calc.evaluator(variables, {}, 'x*y'),
|
||||
76.89, delta=0.01
|
||||
)
|
||||
|
||||
self.assertEqual(calc.evaluator({'x': 9.72, 'y': 7.91}, {}, "13"), 13)
|
||||
self.assertEqual(calc.evaluator(variables, {}, "13"), 13)
|
||||
self.assertEqual(
|
||||
calc.evaluator({
|
||||
'a': 2.2997471478310274, 'k': 9, 'm': 8,
|
||||
'x': 0.66009498411213041},
|
||||
{}, "5"),
|
||||
5)
|
||||
calc.evaluator(
|
||||
{'a': 2.2997471478310274, 'k': 9, 'm': 8, 'x': 0.6600949841121},
|
||||
{}, "5"
|
||||
),
|
||||
5
|
||||
)
|
||||
|
||||
def test_variable_case_sensitivity(self):
|
||||
"""
|
||||
@@ -424,15 +478,21 @@ class EvaluatorTest(unittest.TestCase):
|
||||
"""
|
||||
self.assertEqual(
|
||||
calc.evaluator({'R1': 2.0, 'R3': 4.0}, {}, "r1*r3"),
|
||||
8.0)
|
||||
8.0
|
||||
)
|
||||
|
||||
variables = {'t': 1.0}
|
||||
self.assertEqual(calc.evaluator(variables, {}, "t"), 1.0)
|
||||
self.assertEqual(calc.evaluator(variables, {}, "T"), 1.0)
|
||||
self.assertEqual(calc.evaluator(variables, {}, "t", cs=True), 1.0)
|
||||
self.assertEqual(
|
||||
calc.evaluator(variables, {}, "t", case_sensitive=True),
|
||||
1.0
|
||||
)
|
||||
# Recall 'T' is a default constant, with value 298.15
|
||||
self.assertAlmostEqual(calc.evaluator(variables, {}, "T", cs=True),
|
||||
298, delta=0.2)
|
||||
self.assertAlmostEqual(
|
||||
calc.evaluator(variables, {}, "T", case_sensitive=True),
|
||||
298, delta=0.2
|
||||
)
|
||||
|
||||
def test_simple_funcs(self):
|
||||
"""
|
||||
@@ -445,22 +505,41 @@ class EvaluatorTest(unittest.TestCase):
|
||||
self.assertEqual(calc.evaluator(variables, functions, 'id(x)'), 4.712)
|
||||
|
||||
functions.update({'f': numpy.sin})
|
||||
self.assertAlmostEqual(calc.evaluator(variables, functions, 'f(x)'),
|
||||
-1, delta=1e-3)
|
||||
self.assertAlmostEqual(
|
||||
calc.evaluator(variables, functions, 'f(x)'),
|
||||
-1, delta=1e-3
|
||||
)
|
||||
|
||||
def test_function_case_sensitivity(self):
|
||||
def test_function_case_insensitive(self):
|
||||
"""
|
||||
Test the case sensitivity of functions
|
||||
Test case insensitive evaluation
|
||||
|
||||
Normal functions with some capitals should be fine
|
||||
"""
|
||||
functions = {'f': lambda x: x,
|
||||
'F': lambda x: x + 1}
|
||||
# Test case insensitive evaluation
|
||||
# Both evaulations should call the same function
|
||||
self.assertEqual(calc.evaluator({}, functions, 'f(6)'),
|
||||
calc.evaluator({}, functions, 'F(6)'))
|
||||
# Test case sensitive evaluation
|
||||
self.assertNotEqual(calc.evaluator({}, functions, 'f(6)', cs=True),
|
||||
calc.evaluator({}, functions, 'F(6)', cs=True))
|
||||
self.assertAlmostEqual(
|
||||
-0.28,
|
||||
calc.evaluator({}, {}, 'SiN(6)', case_sensitive=False),
|
||||
delta=1e-3
|
||||
)
|
||||
|
||||
def test_function_case_sensitive(self):
|
||||
"""
|
||||
Test case sensitive evaluation
|
||||
|
||||
Incorrectly capitilized should fail
|
||||
Also, it should pick the correct version of a function.
|
||||
"""
|
||||
with self.assertRaisesRegexp(calc.UndefinedVariable, 'SiN'):
|
||||
calc.evaluator({}, {}, 'SiN(6)', case_sensitive=True)
|
||||
|
||||
# With case sensitive turned on, it should pick the right function
|
||||
functions = {'f': lambda x: x, 'F': lambda x: x + 1}
|
||||
self.assertEqual(
|
||||
calc.evaluator({}, functions, 'f(6)', case_sensitive=True), 6
|
||||
)
|
||||
self.assertEqual(
|
||||
calc.evaluator({}, functions, 'F(6)', case_sensitive=True), 7
|
||||
)
|
||||
|
||||
def test_undefined_vars(self):
|
||||
"""
|
||||
@@ -468,9 +547,9 @@ class EvaluatorTest(unittest.TestCase):
|
||||
"""
|
||||
variables = {'R1': 2.0, 'R3': 4.0}
|
||||
|
||||
self.assertRaises(calc.UndefinedVariable, calc.evaluator,
|
||||
{}, {}, "5+7 QWSEKO")
|
||||
self.assertRaises(calc.UndefinedVariable, calc.evaluator,
|
||||
{'r1': 5}, {}, "r1+r2")
|
||||
self.assertRaises(calc.UndefinedVariable, calc.evaluator,
|
||||
variables, {}, "r1*r3", cs=True)
|
||||
with self.assertRaisesRegexp(calc.UndefinedVariable, 'QWSEKO'):
|
||||
calc.evaluator({}, {}, "5+7*QWSEKO")
|
||||
with self.assertRaisesRegexp(calc.UndefinedVariable, 'r2'):
|
||||
calc.evaluator({'r1': 5}, {}, "r1+r2")
|
||||
with self.assertRaisesRegexp(calc.UndefinedVariable, 'r1 r3'):
|
||||
calc.evaluator(variables, {}, "r1*r3", case_sensitive=True)
|
||||
|
||||
251
common/lib/calc/tests/test_preview.py
Normal file
251
common/lib/calc/tests/test_preview.py
Normal file
@@ -0,0 +1,251 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
Unit tests for preview.py
|
||||
"""
|
||||
|
||||
import unittest
|
||||
import preview
|
||||
import pyparsing
|
||||
|
||||
|
||||
class LatexRenderedTest(unittest.TestCase):
|
||||
"""
|
||||
Test the initializing code for LatexRendered.
|
||||
|
||||
Specifically that it stores the correct data and handles parens well.
|
||||
"""
|
||||
def test_simple(self):
|
||||
"""
|
||||
Test that the data values are stored without changing.
|
||||
"""
|
||||
math = 'x^2'
|
||||
obj = preview.LatexRendered(math, tall=True)
|
||||
self.assertEquals(obj.latex, math)
|
||||
self.assertEquals(obj.sans_parens, math)
|
||||
self.assertEquals(obj.tall, True)
|
||||
|
||||
def _each_parens(self, with_parens, math, parens, tall=False):
|
||||
"""
|
||||
Helper method to test the way parens are wrapped.
|
||||
"""
|
||||
obj = preview.LatexRendered(math, parens=parens, tall=tall)
|
||||
self.assertEquals(obj.latex, with_parens)
|
||||
self.assertEquals(obj.sans_parens, math)
|
||||
self.assertEquals(obj.tall, tall)
|
||||
|
||||
def test_parens(self):
|
||||
""" Test curvy parens. """
|
||||
self._each_parens('(x+y)', 'x+y', '(')
|
||||
|
||||
def test_brackets(self):
|
||||
""" Test brackets. """
|
||||
self._each_parens('[x+y]', 'x+y', '[')
|
||||
|
||||
def test_squiggles(self):
|
||||
""" Test curly braces. """
|
||||
self._each_parens(r'\{x+y\}', 'x+y', '{')
|
||||
|
||||
def test_parens_tall(self):
|
||||
""" Test curvy parens with the tall parameter. """
|
||||
self._each_parens(r'\left(x^y\right)', 'x^y', '(', tall=True)
|
||||
|
||||
def test_brackets_tall(self):
|
||||
""" Test brackets, also tall. """
|
||||
self._each_parens(r'\left[x^y\right]', 'x^y', '[', tall=True)
|
||||
|
||||
def test_squiggles_tall(self):
|
||||
""" Test tall curly braces. """
|
||||
self._each_parens(r'\left\{x^y\right\}', 'x^y', '{', tall=True)
|
||||
|
||||
def test_bad_parens(self):
|
||||
""" Check that we get an error with invalid parens. """
|
||||
with self.assertRaisesRegexp(Exception, 'Unknown parenthesis'):
|
||||
preview.LatexRendered('x^2', parens='not parens')
|
||||
|
||||
|
||||
class LatexPreviewTest(unittest.TestCase):
|
||||
"""
|
||||
Run integrative tests for `latex_preview`.
|
||||
|
||||
All functionality was tested `RenderMethodsTest`, but see if it combines
|
||||
all together correctly.
|
||||
"""
|
||||
def test_no_input(self):
|
||||
"""
|
||||
With no input (including just whitespace), see that no error is thrown.
|
||||
"""
|
||||
self.assertEquals('', preview.latex_preview(''))
|
||||
self.assertEquals('', preview.latex_preview(' '))
|
||||
self.assertEquals('', preview.latex_preview(' \t '))
|
||||
|
||||
def test_number_simple(self):
|
||||
""" Simple numbers should pass through. """
|
||||
self.assertEquals(preview.latex_preview('3.1415'), '3.1415')
|
||||
|
||||
def test_number_suffix(self):
|
||||
""" Suffixes should be escaped. """
|
||||
self.assertEquals(preview.latex_preview('1.618k'), r'1.618\text{k}')
|
||||
|
||||
def test_number_sci_notation(self):
|
||||
""" Numbers with scientific notation should display nicely """
|
||||
self.assertEquals(
|
||||
preview.latex_preview('6.0221413E+23'),
|
||||
r'6.0221413\!\times\!10^{+23}'
|
||||
)
|
||||
self.assertEquals(
|
||||
preview.latex_preview('-6.0221413E+23'),
|
||||
r'-6.0221413\!\times\!10^{+23}'
|
||||
)
|
||||
|
||||
def test_number_sci_notation_suffix(self):
|
||||
""" Test numbers with both of these. """
|
||||
self.assertEquals(
|
||||
preview.latex_preview('6.0221413E+23k'),
|
||||
r'6.0221413\!\times\!10^{+23}\text{k}'
|
||||
)
|
||||
self.assertEquals(
|
||||
preview.latex_preview('-6.0221413E+23k'),
|
||||
r'-6.0221413\!\times\!10^{+23}\text{k}'
|
||||
)
|
||||
|
||||
def test_variable_simple(self):
|
||||
""" Simple valid variables should pass through. """
|
||||
self.assertEquals(preview.latex_preview('x', variables=['x']), 'x')
|
||||
|
||||
def test_greek(self):
|
||||
""" Variable names that are greek should be formatted accordingly. """
|
||||
self.assertEquals(preview.latex_preview('pi'), r'\pi')
|
||||
|
||||
def test_variable_subscript(self):
|
||||
""" Things like 'epsilon_max' should display nicely """
|
||||
self.assertEquals(
|
||||
preview.latex_preview('epsilon_max', variables=['epsilon_max']),
|
||||
r'\epsilon_{max}'
|
||||
)
|
||||
|
||||
def test_function_simple(self):
|
||||
""" Valid function names should be escaped. """
|
||||
self.assertEquals(
|
||||
preview.latex_preview('f(3)', functions=['f']),
|
||||
r'\text{f}(3)'
|
||||
)
|
||||
|
||||
def test_function_tall(self):
|
||||
r""" Functions surrounding a tall element should have \left, \right """
|
||||
self.assertEquals(
|
||||
preview.latex_preview('f(3^2)', functions=['f']),
|
||||
r'\text{f}\left(3^{2}\right)'
|
||||
)
|
||||
|
||||
def test_function_sqrt(self):
|
||||
""" Sqrt function should be handled specially. """
|
||||
self.assertEquals(preview.latex_preview('sqrt(3)'), r'\sqrt{3}')
|
||||
|
||||
def test_function_log10(self):
|
||||
""" log10 function should be handled specially. """
|
||||
self.assertEquals(preview.latex_preview('log10(3)'), r'\log_{10}(3)')
|
||||
|
||||
def test_function_log2(self):
|
||||
""" log2 function should be handled specially. """
|
||||
self.assertEquals(preview.latex_preview('log2(3)'), r'\log_2(3)')
|
||||
|
||||
def test_power_simple(self):
|
||||
""" Powers should wrap the elements with braces correctly. """
|
||||
self.assertEquals(preview.latex_preview('2^3^4'), '2^{3^{4}}')
|
||||
|
||||
def test_power_parens(self):
|
||||
""" Powers should ignore the parenthesis of the last math. """
|
||||
self.assertEquals(preview.latex_preview('2^3^(4+5)'), '2^{3^{4+5}}')
|
||||
|
||||
def test_parallel(self):
|
||||
r""" Parallel items should combine with '\|'. """
|
||||
self.assertEquals(preview.latex_preview('2||3'), r'2\|3')
|
||||
|
||||
def test_product_mult_only(self):
|
||||
r""" Simple products should combine with a '\cdot'. """
|
||||
self.assertEquals(preview.latex_preview('2*3'), r'2\cdot 3')
|
||||
|
||||
def test_product_big_frac(self):
|
||||
""" Division should combine with '\frac'. """
|
||||
self.assertEquals(
|
||||
preview.latex_preview('2*3/4/5'),
|
||||
r'\frac{2\cdot 3}{4\cdot 5}'
|
||||
)
|
||||
|
||||
def test_product_single_frac(self):
|
||||
""" Division should ignore parens if they are extraneous. """
|
||||
self.assertEquals(
|
||||
preview.latex_preview('(2+3)/(4+5)'),
|
||||
r'\frac{2+3}{4+5}'
|
||||
)
|
||||
|
||||
def test_product_keep_going(self):
|
||||
"""
|
||||
Complex products/quotients should split into many '\frac's when needed.
|
||||
"""
|
||||
self.assertEquals(
|
||||
preview.latex_preview('2/3*4/5*6'),
|
||||
r'\frac{2}{3}\cdot \frac{4}{5}\cdot 6'
|
||||
)
|
||||
|
||||
def test_sum(self):
|
||||
""" Sums should combine its elements. """
|
||||
# Use 'x' as the first term (instead of, say, '1'), so it can't be
|
||||
# interpreted as a negative number.
|
||||
self.assertEquals(
|
||||
preview.latex_preview('-x+2-3+4', variables=['x']),
|
||||
'-x+2-3+4'
|
||||
)
|
||||
|
||||
def test_sum_tall(self):
|
||||
""" A complicated expression should not hide the tallness. """
|
||||
self.assertEquals(
|
||||
preview.latex_preview('(2+3^2)'),
|
||||
r'\left(2+3^{2}\right)'
|
||||
)
|
||||
|
||||
def test_complicated(self):
|
||||
"""
|
||||
Given complicated input, ensure that exactly the correct string is made.
|
||||
"""
|
||||
self.assertEquals(
|
||||
preview.latex_preview('11*f(x)+x^2*(3||4)/sqrt(pi)'),
|
||||
r'11\cdot \text{f}(x)+\frac{x^{2}\cdot (3\|4)}{\sqrt{\pi}}'
|
||||
)
|
||||
|
||||
self.assertEquals(
|
||||
preview.latex_preview('log10(1+3/4/Cos(x^2)*(x+1))',
|
||||
case_sensitive=True),
|
||||
(r'\log_{10}\left(1+\frac{3}{4\cdot \text{Cos}\left(x^{2}\right)}'
|
||||
r'\cdot (x+1)\right)')
|
||||
)
|
||||
|
||||
def test_syntax_errors(self):
|
||||
"""
|
||||
Test a lot of math strings that give syntax errors
|
||||
|
||||
Rather than have a lot of self.assertRaises, make a loop and keep track
|
||||
of those that do not throw a `ParseException`, and assert at the end.
|
||||
"""
|
||||
bad_math_list = [
|
||||
'11+',
|
||||
'11*',
|
||||
'f((x)',
|
||||
'sqrt(x^)',
|
||||
'3f(x)', # Not 3*f(x)
|
||||
'3|4',
|
||||
'3|||4'
|
||||
]
|
||||
bad_exceptions = {}
|
||||
for math in bad_math_list:
|
||||
try:
|
||||
preview.latex_preview(math)
|
||||
except pyparsing.ParseException:
|
||||
pass # This is what we were expecting. (not excepting :P)
|
||||
except Exception as error: # pragma: no cover
|
||||
bad_exceptions[math] = error
|
||||
else: # pragma: no cover
|
||||
# If there is no exception thrown, this is a problem
|
||||
bad_exceptions[math] = None
|
||||
|
||||
self.assertEquals({}, bad_exceptions)
|
||||
@@ -1748,15 +1748,23 @@ class FormulaResponse(LoncapaResponse):
|
||||
student_variables[str(var)] = value
|
||||
# log.debug('formula: instructor_vars=%s, expected=%s' %
|
||||
# (instructor_variables,expected))
|
||||
instructor_result = evaluator(instructor_variables, dict(),
|
||||
expected, cs=self.case_sensitive)
|
||||
|
||||
# Call `evaluator` on the instructor's answer and get a number
|
||||
instructor_result = evaluator(
|
||||
instructor_variables, dict(),
|
||||
expected, case_sensitive=self.case_sensitive
|
||||
)
|
||||
try:
|
||||
# log.debug('formula: student_vars=%s, given=%s' %
|
||||
# (student_variables,given))
|
||||
student_result = evaluator(student_variables,
|
||||
dict(),
|
||||
given,
|
||||
cs=self.case_sensitive)
|
||||
|
||||
# Call `evaluator` on the student's answer; look for exceptions
|
||||
student_result = evaluator(
|
||||
student_variables,
|
||||
dict(),
|
||||
given,
|
||||
case_sensitive=self.case_sensitive
|
||||
)
|
||||
except UndefinedVariable as uv:
|
||||
log.debug(
|
||||
'formularesponse: undefined variable in given=%s' % given)
|
||||
|
||||
@@ -71,51 +71,6 @@ class ModelsTest(unittest.TestCase):
|
||||
vc_str = "<class 'xmodule.video_module.VideoDescriptor'>"
|
||||
self.assertEqual(str(vc), vc_str)
|
||||
|
||||
def test_calc(self):
|
||||
variables = {'R1': 2.0, 'R3': 4.0}
|
||||
functions = {'sin': numpy.sin, 'cos': numpy.cos}
|
||||
|
||||
self.assertTrue(abs(calc.evaluator(variables, functions, "10000||sin(7+5)+0.5356")) < 0.01)
|
||||
self.assertEqual(calc.evaluator({'R1': 2.0, 'R3': 4.0}, {}, "13"), 13)
|
||||
self.assertEqual(calc.evaluator(variables, functions, "13"), 13)
|
||||
self.assertEqual(calc.evaluator({'a': 2.2997471478310274, 'k': 9, 'm': 8, 'x': 0.66009498411213041}, {}, "5"), 5)
|
||||
self.assertEqual(calc.evaluator({}, {}, "-1"), -1)
|
||||
self.assertEqual(calc.evaluator({}, {}, "-0.33"), -.33)
|
||||
self.assertEqual(calc.evaluator({}, {}, "-.33"), -.33)
|
||||
self.assertEqual(calc.evaluator(variables, functions, "R1*R3"), 8.0)
|
||||
self.assertTrue(abs(calc.evaluator(variables, functions, "sin(e)-0.41")) < 0.01)
|
||||
self.assertTrue(abs(calc.evaluator(variables, functions, "k*T/q-0.025")) < 0.001)
|
||||
self.assertTrue(abs(calc.evaluator(variables, functions, "e^(j*pi)") + 1) < 0.00001)
|
||||
self.assertTrue(abs(calc.evaluator(variables, functions, "j||1") - 0.5 - 0.5j) < 0.00001)
|
||||
variables['t'] = 1.0
|
||||
# Use self.assertAlmostEqual here...
|
||||
self.assertTrue(abs(calc.evaluator(variables, functions, "t") - 1.0) < 0.00001)
|
||||
self.assertTrue(abs(calc.evaluator(variables, functions, "T") - 1.0) < 0.00001)
|
||||
self.assertTrue(abs(calc.evaluator(variables, functions, "t", cs=True) - 1.0) < 0.00001)
|
||||
self.assertTrue(abs(calc.evaluator(variables, functions, "T", cs=True) - 298) < 0.2)
|
||||
# Use self.assertRaises here...
|
||||
exception_happened = False
|
||||
try:
|
||||
calc.evaluator({}, {}, "5+7 QWSEKO")
|
||||
except:
|
||||
exception_happened = True
|
||||
self.assertTrue(exception_happened)
|
||||
|
||||
try:
|
||||
calc.evaluator({'r1': 5}, {}, "r1+r2")
|
||||
except calc.UndefinedVariable:
|
||||
pass
|
||||
|
||||
self.assertEqual(calc.evaluator(variables, functions, "r1*r3"), 8.0)
|
||||
|
||||
exception_happened = False
|
||||
try:
|
||||
calc.evaluator(variables, functions, "r1*r3", cs=True)
|
||||
except:
|
||||
exception_happened = True
|
||||
self.assertTrue(exception_happened)
|
||||
|
||||
|
||||
class PostData(object):
|
||||
"""Class which emulate postdata."""
|
||||
def __init__(self, dict_data):
|
||||
|
||||
Reference in New Issue
Block a user