Test: separate expression build and showing it

possible

mapytex/__init__.py

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

mapytex/calculus/API/expression.py

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

mapytex/calculus/__init__.py

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

mapytex/calculus/core/__init__.py

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

mapytex/calculus/core/random/__init__.py

@@ -71,7 +71,7 @@ This function ignores tree structure and works with lists
 {'a': -8, 'a*b': -40, 'b': 5, 'c': 4}
 """
 
-__all__ = ["generator"]
+__all__ = ["list_generator"]
 
 from random import choice
 from functools import reduce
@@ -256,7 +256,7 @@ def build_variable_scope(rd_variables, rejected, min_max, variables_scope):
     return complete_scope
 
     
-def list_generator(var_list, conditions=[], rejected=[0], min_max=(-10, 10), variables_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")
@@ -264,17 +264,25 @@ def list_generator(var_list, conditions=[], rejected=[0], min_max=(-10, 10), var
     :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:
-    >>> values = list_generator(["a", "a*b", "b", "c"])
-    >>> values  # doctest: +SKIP
-    >>> values["a"] * values["b"] == values["a*b"]
+    >>> 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
-    >>> values["a*b"] # doctest: +SKIP
-    >>> values["a"] * values["b"] # doctest: +SKIP
+    >>> 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)
-    return generated
+    if dictionnary:
+        return generated
+    return [generated[v] for v in var_list]

setup.py

@@ -7,7 +7,7 @@ except ImportError:
 
 setup(
     name="mapytex",
-    version="2.2",
+    version="2.3.2",
     description="Computing like a student",
     author="Benjamin Bertrand",
     author_email="programming@opytex.org",