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7 changed files with 6 additions and 61 deletions

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@ -7,12 +7,3 @@ steps:
commands:
- pip install -r requirements.txt
- pytest --doctest-modules ./mapytex/
- name: Publish
image: plugins/pypi
settings:
username:
from_secret: pypi_username
password:
from_secret: pypi_password
when:
event: tag

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@ -1,7 +1,7 @@
#!/usr/bin/env python
# encoding: utf-8
from .calculus import Expression, Integer, Decimal, random_list
from .calculus import Expression, Integer, Decimal
# Expression.set_render('tex')

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@ -136,11 +136,9 @@ class Expression(object):
:returns: TODO
:example:
>>> e = Expression.random("{a}/{a*k}")
>>> e # doctest: +SKIP
>>> Expression.random("{a}/{a*k}") # doctest: +SKIP
<Exp: -3 / -15>
>>> e = Expression.random("{a}/{a*k} - 3*{b}", variables_scope={'a':{'min_max':(10, 30)}})
>>> e # doctest: +SKIP
>>> Expression.random("{a}/{a*k} - 3*{b}", variables_scope={'a':{'min_max':(10, 30)}}) # doctest: +SKIP
<Exp: 18 / 108 - 3 * 9>
>>> e = Expression.random("{a}*x + {b}*x + 3", ["a>b"], rejected=[0, 1])
>>> ee = e.simplify()

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@ -31,7 +31,6 @@ Expression is the classe wich handle all calculus. It can randomly generate or i
"""
from .API import Expression, Integer, Decimal
from .core import random_list
from decimal import getcontext
#getcontext().prec = 2

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@ -66,7 +66,6 @@ from .tree import Tree, AssocialTree
from .compute import compute
from .typing import typing, TypingError
from .renders import tree2txt, tree2tex
from .random import list_generator as random_list
# -----------------------------

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@ -47,8 +47,8 @@ Tree with RdLeaf replaced by generated values
>>> leafs
['a', 'a*k']
>>> rd_varia = extract_rv(leafs)
>>> sorted(list(rd_varia))
['a', 'k']
>>> rd_varia # doctest: +SKIP
{'a', 'k'}
>>> generated = random_generator(rd_varia, conditions=['a%2+1'])
>>> generated # doctest: +SKIP
{'a': 7, 'k': 4}
@ -61,18 +61,8 @@ Tree with RdLeaf replaced by generated values
> 7
> 28
List generator
--------------
This function ignores tree structure and works with lists
>>> values = list_generator(["a", "a*b", "b", "c"], conditions=["b%c==1"])
>>> values # doctest: +SKIP
{'a': -8, 'a*b': -40, 'b': 5, 'c': 4}
"""
__all__ = ["list_generator"]
from random import choice
from functools import reduce
from .leaf import RdLeaf
@ -254,35 +244,3 @@ def build_variable_scope(rd_variables, rejected, min_max, variables_scope):
except KeyError:
complete_scope[v]["min_max"] = min_max
return complete_scope
def list_generator(var_list, conditions=[], rejected=[0], min_max=(-10, 10), variables_scope={}, dictionnary=False):
""" Generate random computed values from the list
:param rd_variables: list of random variables to generate (can be computed value - "a*b")
:param conditions: condition over variables
:param rejected: Rejected values for the generator (default [0])
:param min_max: (min, max) limits in between variables will be generated
:param variables_scope: rejected and min_max define for individual variables
:param dictionnary: the return value will be a dictionnary with var_list as keys (default False)
:return: dictionnary of generated variables
:example:
>>> a, ab, b, c = list_generator(["a", "a*b", "b", "c"])
>>> a, ab, b, c # doctest: +SKIP
(5, -20, -4, -3)
>>> a * b == ab
True
>>> ab # doctest: +SKIP
-20
>>> a, b # doctest: +SKIP
5, -4
>>> list_generator(["a", "a*b", "b", "c"], dictionnary=True) # doctest: +SKIP
{'a': -3, 'a*b': 18, 'b': -6, 'c': -4}
"""
rv = extract_rv(var_list)
rv_gen = random_generator(rv, conditions, rejected, min_max, variables_scope)
generated = compute_leafs(var_list, rv_gen)
if dictionnary:
return generated
return [generated[v] for v in var_list]

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@ -7,7 +7,7 @@ except ImportError:
setup(
name="mapytex",
version="2.3.2",
version="2.1",
description="Computing like a student",
author="Benjamin Bertrand",
author_email="programming@opytex.org",