Feat: random expression generator is working

mapytex/calculus/random/core/random_tree.py

@@ -1,4 +1,5 @@
 from ...core.tree import MutableTree, Tree
+from ...core.MO import moify
 from .grammar import extract_letters, eval_words
 from .generate import random_generator
 from .str2 import rdstr2
@@ -97,9 +98,9 @@ class RandomTree(MutableTree):
                 return leaf.replace(leaves_value)
             except AttributeError:
                 return leaf
-        return self.map_on_leaf(replace)
+        return self.map_on_leaf(replace).map_on_leaf(moify)
     
-    def generate(self, conditions:list[str]=[], config:dict={} , configs:dict={}) -> Tree:
+    def generate(self, conditions:list[str]=[], global_config:dict={} , configs:dict={}) -> Tree:
         """ Generate a random version of self 
 
         :param conditions: list of conditions
@@ -107,6 +108,6 @@ class RandomTree(MutableTree):
         :param configs: specific configuration for each generated values
 
         """
-        generated_values = random_generator(self.random_values, config, configs)
+        generated_values = random_generator(self.random_value, conditions, global_config, configs)
         leaves = eval_words(self.random_leaves, generated_values)
         return self.eval_random_leaves(leaves)

mapytex/calculus/random/expression.py

@@ -1,55 +1,35 @@
 from ..API.expression import Expression
-from ..core.tree import Tree
+from .core.random_tree import RandomTree
 
-def expression():
-    """ Generate a random expression """
-    pass
+DEFAUTL_CONFIG = {
+        "rejected": [0, 1],
+        "min_max": (-10, 10),
+        }
 
-@classmethod
-def random(
-    cls,
-    template,
-    conditions=[],
-    rejected=[0],
-    min_max=(-10, 10),
-    variables_scope={},
-    shuffle=False,
-):
-    """ Initiate randomly the expression
+def expression_generator(template:str, conditions:list[str]=[], global_config:dict={}, configs:dict={}):
+    """ Generate a random expression 
 
     :param template: the template of the expression
     :param conditions: conditions on randomly generate variable
-    :param rejected: Values to reject for all random variables
-    :param min_max: Min and max value for all random variables
-    :param variables_scope: Dictionnary for each random varaibles to fic rejected and min_max
-    :param shuffle: allowing to shuffle the tree
-    :returns: TODO
+    :param global_config: configuration for all variables
+    :param configs: configuration for each variables
+    :return: Expression or Token generated
 
     :example:
-    >>> e = Expression.random("{a}/{a*k}")
+    >>> e = expression_generator("{a}/{a*k}")
     >>> e # doctest: +SKIP
     <Exp: -3 / -15>
-    >>> e = Expression.random("{a}/{a*k} - 3*{b}", variables_scope={'a':{'min_max':(10, 30)}})
+    >>> e = expression_generator("{a}/{a*k} - 3*{b}", configs={'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()
+    >>> e = expression_generator("{a}*x + {b}*x + 3", conditions=["a>b"], global_config={"rejected":[0, 1]})
     >>> print(e) # doctest: +SKIP
     10x - 6x + 3
+    >>> ee = e.simplify()
     >>> print(ee) # doctest: +SKIP
     4x + 3
 
     """
-    rd_t = Tree.from_str(template)
-    leafs = extract_rdleaf(rd_t)
-    rd_varia = extract_rv(leafs)
-    generated = random_generator(
-        rd_varia, conditions, rejected, min_max, variables_scope
-    )
-    computed = compute_leafs(leafs, generated)
-    t = replace_rdleaf(rd_t, computed).map_on_leaf(moify)
-
-    if shuffle:
-        raise NotImplemented("Can't suffle expression yet")
-
-    return cls._post_processing(t)
+    rd_tree = RandomTree.from_str(template)
+    generated_tree = rd_tree.generate(conditions, dict(DEFAUTL_CONFIG, **global_config), configs)
+    return Expression._post_processing(generated_tree)

mapytex/calculus/random/list.py

@@ -22,10 +22,9 @@ def list_generator(var_list:list[str], conditions:list[str]=[], global_config:di
 
     :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
+    :param global_config: configuration for all variables
+    :param configs: configuration for each variables
+    :return: list of generated variables
 
     :example:
     >>> a, ab, b, c = list_generator(["a", "a*b", "b", "c"])