Test: separate expression build and showing it

.drone.yml

@@ -7,3 +7,12 @@ 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

mapytex/__init__.py

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

@@ -31,6 +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 random_list
 from decimal import getcontext
 #getcontext().prec = 2
 

mapytex/calculus/core/__init__.py

@@ -66,6 +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 as random_list
 
 
 # -----------------------------

mapytex/calculus/core/random/__init__.py

@@ -47,8 +47,8 @@ Tree with RdLeaf replaced by generated values
 >>> leafs
 ['a', 'a*k']
 >>> rd_varia = extract_rv(leafs)
->>> rd_varia # doctest: +SKIP
+>>> sorted(list(rd_varia))
-{'a', 'k'}
+['a', 'k']
 >>> generated = random_generator(rd_varia, conditions=['a%2+1'])
 >>> generated # doctest: +SKIP
 {'a': 7, 'k': 4}
@@ -61,8 +61,18 @@ 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
@@ -244,3 +254,35 @@ 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]

setup.py

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