Feat: random list generator

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, list_generator
 
 # Expression.set_render('tex')
 

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 list_generator
 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
 
 
 # -----------------------------

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__ = ["generator"]
+
 from random import choice
 from functools import reduce
 from .leaf import RdLeaf
@@ -244,3 +254,27 @@ 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={}):
+    """ 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
+    :return: dictionnary of generated variables
+
+    :example:
+    >>> values = list_generator(["a", "a*b", "b", "c"])
+    >>> values  # doctest: +SKIP
+    >>> values["a"] * values["b"] == values["a*b"]
+    True
+    >>> values["a*b"] # doctest: +SKIP
+    >>> values["a"] * values["b"] # doctest: +SKIP
+    """
+    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