Feat: Few tests for Expression generator

mapytex/__init__.py

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

mapytex/calculus/API/expression.py

@@ -12,13 +12,6 @@ Expression
 """
 from functools import partial
 from ..core import AssocialTree, Tree, compute, typing, TypingError
-from ..core.random import (
-    extract_rdleaf,
-    extract_rv,
-    random_generator,
-    compute_leafs,
-    replace_rdleaf,
-)
 from ..core.MO import moify
 from .tokens import factory
 from .renders import render
@@ -79,55 +72,6 @@ class Expression(object):
 
         return cls(t)
 
-    @classmethod
-    def random(
-        cls,
-        template,
-        conditions=[],
-        rejected=[0],
-        min_max=(-10, 10),
-        variables_scope={},
-        shuffle=False,
-    ):
-        """ Initiate randomly the 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
-
-        :example:
-        >>> e = Expression.random("{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 # doctest: +SKIP
-        <Exp: 18 / 108 - 3 * 9>
-        >>> e = Expression.random("{a}*x + {b}*x + 3", ["a>b"], rejected=[0, 1])
-        >>> ee = e.simplify()
-        >>> print(e) # doctest: +SKIP
-        10x - 6x + 3
-        >>> print(ee) # doctest: +SKIP
-        4x + 3
-
-        """
-        rd_t = Tree.from_str(template, random=True)
-        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)
-
     @classmethod
     def _post_processing(cls, t):
         """ Post process the tree by typing it """

mapytex/calculus/API/tokens/number.py

@@ -13,7 +13,7 @@ Tokens representing interger and decimal
 from decimal import Decimal as _Decimal
 from .token import Token
 from ...core.arithmetic import gcd
-from ...core.random.int_gene import filter_random
+#from ...core.random.int_gene import filter_random
 from ...core.MO import MO, MOnumber
 from ...core.MO.fraction import MOFraction
 from random import random

mapytex/calculus/__init__.py

@@ -12,7 +12,6 @@ Make calculus as a student
 
 Expression is the classe wich handle all calculus. It can randomly generate or import calculus, simplify them and explain them as a student would do.
 
->>> from mapytex.calculus import Expression
 >>> render.set_render("txt")
 >>> e = Expression.from_str("2x + 6 - 3x")
 >>> print(e)
@@ -27,16 +26,23 @@ Expression is the classe wich handle all calculus. It can randomly generate or i
 (2 - 3) * x + 6
 - x + 6
 
+Create random Expression
+========================
+
+>>> e = random.expression("{a} / {b} + {c} / {d}")
+>>> print(e) # doctest: +SKIP 
+- 3 / - 10 + 3 / 5
 
 """
 
-from .API import Expression, Integer, Decimal, render, Polynomial, Fraction
-from .core import random_list
-from decimal import getcontext
+from .API import render, Expression
+#from decimal import getcontext
+from . import random
+
 #getcontext().prec = 2
 
 
-__all__ = ["Expression"]
+__all__ = ["render",  "Expression", "random"]
 
 
 # -----------------------------

mapytex/calculus/core/__init__.py

@@ -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
 
 
 # -----------------------------

mapytex/calculus/core/random/__init__.py

@@ -1,288 +0,0 @@
-#! /usr/bin/env python
-# -*- coding: utf-8 -*-
-# vim:fenc=utf-8
-#
-# Copyright © 2017 lafrite <lafrite@Poivre>
-#
-# Distributed under terms of the MIT license.
-
-"""
-Tools to extract random leafs, random variables, generate random values and
-fill new trees
-
-Flow
-----
-
-Tree with RdLeaf
-|
-| Extract rdLeaf
-|
-List of leafs to generate
-|
-| extract_rv
-|
-List random variables to generate
-|
-| Generate
-|
-Dictionnary of generated random variables
-|
-| Compute leafs
-|
-Dictionnary of computed leafs
-|
-| Replace
-|
-Tree with RdLeaf replaced by generated values
-
-:example:
-
->>> from ..tree import Tree
->>> rd_t = Tree("/", RdLeaf("a"), RdLeaf("a*k"))
->>> print(rd_t)
-/
- > {a}
- > {a*k}
->>> leafs = extract_rdleaf(rd_t)
->>> leafs
-['a', 'a*k']
->>> rd_varia = extract_rv(leafs)
->>> sorted(list(rd_varia))
-['a', 'k']
->>> generated = random_generator(rd_varia, conditions=['a%2+1'])
->>> generated # doctest: +SKIP
-{'a': 7, 'k': 4}
->>> computed = compute_leafs(leafs, generated)
->>> computed # doctest: +SKIP
-{'a': 7, 'a*k': 28}
->>> replaced = replace_rdleaf(rd_t, computed)
->>> print(replaced) # doctest: +SKIP
-/
- > 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
-
-
-def extract_rdleaf(tree):
-    """ Extract rdLeaf in a Tree
-
-    :example:
-    >>> from ..tree import Tree
-    >>> rd_t = Tree("+", RdLeaf("a"), RdLeaf("a*k"))
-    >>> extract_rdleaf(rd_t)
-    ['a', 'a*k']
-    >>> rd_t = Tree("+", RdLeaf("a"), 2)
-    >>> extract_rdleaf(rd_t)
-    ['a']
-    """
-    rd_leafs = []
-    for leaf in tree.get_leafs():
-        try:
-            leaf.rdleaf
-        except AttributeError:
-            pass
-        else:
-            rd_leafs.append(leaf.name)
-    return rd_leafs
-
-
-def extract_rv(leafs):
-    """ Extract the set of random values from the leaf list
-
-    :param leafs: list of leafs
-    :return: set of random values
-
-    :example:
-    >>> leafs = ["a", "a*k"]
-    >>> extract_rv(leafs) == {'a', 'k'}
-    True
-    """
-    rd_values = set()
-    for leaf in leafs:
-        for c in leaf:
-            if c.isalpha():
-                rd_values.add(c)
-    return rd_values
-
-
-def compute_leafs(leafs, generated_values):
-    """ Compute leafs from generated random values
-
-    :param generated_values: Dictionnary of name:generated value
-    :param leafs: list of leafs
-    :return: Dictionnary of evaluated leafs from generated values
-
-    :example:
-    >>> leafs = ["a", "a*k"]
-    >>> generated_values = {"a":2, "k":3}
-    >>> compute_leafs(leafs, generated_values)
-    {'a': 2, 'a*k': 6}
-    """
-    return {leaf: eval(leaf, generated_values) for leaf in leafs}
-
-
-def replace_rdleaf(tree, computed_leafs):
-    """ Replace RdLeaf by the corresponding computed value
-
-    >>> from ..tree import Tree
-    >>> rd_t = Tree("+", RdLeaf("a"), RdLeaf("a*k"))
-    >>> computed_leafs = {'a': 2, 'a*k': 6}
-    >>> print(replace_rdleaf(rd_t, computed_leafs))
-    +
-     > 2
-     > 6
-    """
-
-    def replace(leaf):
-        try:
-            return leaf.replace(computed_leafs)
-        except AttributeError:
-            return leaf
-
-    return tree.map_on_leaf(replace)
-
-
-def random_generator(
-    rd_variables, conditions=[], rejected=[0], min_max=(-10, 10), variables_scope={}
-):
-    """ Generate random variables
-
-    :param rd_variables: list of random variables to generate
-    :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:
-    >>> gene = random_generator(["a", "b"], 
-    ...                  ["a > 0"],
-    ...                  [0], (-10, 10),
-    ...                  {"a": {"rejected": [0, 1]},
-    ...                   "b": {"min_max": (-5, 0)}})
-    >>> gene["a"] > 0
-    True
-    >>> gene["a"] != 0
-    True
-    >>> gene["b"] < 0
-    True
-    >>> gene = random_generator(["a", "b"], 
-    ...                  ["a % b == 0"],
-    ...                  [0, 1], (-10, 10))
-    >>> gene["a"] not in [0, 1]
-    True
-    >>> gene["b"] in list(range(-10, 11))
-    True
-    >>> gene["a"] % gene["b"]
-    0
-    """
-    complete_scope = build_variable_scope(
-        rd_variables, rejected, min_max, variables_scope
-    )
-    choices_list = {
-        v: list(
-            set(
-                range(
-                    complete_scope[v]["min_max"][0], complete_scope[v]["min_max"][1] + 1
-                )
-            ).difference(complete_scope[v]["rejected"])
-        )
-        for v in rd_variables
-    }
-
-    # quantity_choices = reduce(lambda x,y : x*y,
-    #                           [len(choices_list[v]) for v in choices_list])
-    # TODO: améliorer la méthode de rejet avec un cache |dim. mai 12 17:04:11 CEST 2019
-
-    generate_variable = {v: choice(choices_list[v]) for v in rd_variables}
-
-    while not all([eval(c, __builtins__, generate_variable) for c in conditions]):
-        generate_variable = {v: choice(choices_list[v]) for v in rd_variables}
-
-    return generate_variable
-
-
-def build_variable_scope(rd_variables, rejected, min_max, variables_scope):
-    """ Build variables scope from incomplete one
-
-    :param rd_variables: list of random variables to generate
-    :param rejected: Rejected values for the generator 
-    :param min_max: (min, max) limits in between variables will be generated
-    :param variables_scope: rejected and min_max define for individual variables
-    :return: complete variable scope
-
-    :example:
-    >>> completed = build_variable_scope(["a", "b", "c", "d"], [0], (-10, 10),
-    ...                      {"a": {"rejected": [0, 1]},
-    ...                       "b": {"min_max": (-5, 0)},
-    ...                       "c": {"rejected": [2], "min_max": (0, 5)}})
-    >>> complete = {'a': {'rejected': [0, 1], 'min_max': (-10, 10)}, 
-    ...             'b': {'rejected': [0], 'min_max': (-5, 0)},
-    ...             'c': {'rejected': [2], 'min_max': (0, 5)},
-    ...             'd': {'rejected': [0], 'min_max': (-10, 10)}}
-    >>> completed == complete
-    True
-    """
-    complete_scope = variables_scope.copy()
-    for v in rd_variables:
-        try:
-            complete_scope[v]
-        except KeyError:
-            complete_scope[v] = {"rejected": rejected, "min_max": min_max}
-        else:
-            try:
-                complete_scope[v]["rejected"]
-            except KeyError:
-                complete_scope[v]["rejected"] = rejected
-            try:
-                complete_scope[v]["min_max"]
-            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]

mapytex/calculus/core/str2.py

@@ -15,7 +15,6 @@ from decimal import Decimal, InvalidOperation
 from .coroutine import *
 from .operator import is_operator
 from .MO import moify_cor
-from .random.leaf import look_for_rdleaf, RdLeaf
 
 __all__ = ["str2"]
 
@@ -395,11 +394,7 @@ def missing_times(target):
                     elif not is_operator(tok) and tok != ")":
                         target_.send("*")
 
-            if (
-                isinstance(tok, int)
-                or (isinstance(tok, str) and not is_operator(tok) and not tok == "(")
-                or (isinstance(tok, RdLeaf))
-            ):
+            if not ( is_operator(tok)  or tok =="(" ):
                 previous = tok
 
             target_.send(tok)
@@ -814,38 +809,7 @@ def str2(sink, convert_to_mo=True):
 
     return pipeline
 
-
-def rdstr2(sink):
-    """ Return a pipeline which parse random expression and with sink as endpoint
-
-    :example:
-    >>> rdstr2list = rdstr2(list_sink)
-    >>> rdstr2list("{a}+{a*b}-2")
-    [<RdLeaf a>, '+', <RdLeaf a*b>, '+', <MOnumber -2>]
-    >>> rdstr2list("{a}({b}x+{c})")
-    [<RdLeaf a>, '*', [<RdLeaf b>, '*', <MOstr x>, '+', <RdLeaf c>]]
-    """
-    lfop = lookfor(is_operator)
-    operator_corout = partial(concurent_broadcast, lookfors=[lfop])
-
-    def pipeline(expression):
-        str2_corout = look_for_rdleaf(
-            lookforNumbers(operator_corout(
-                missing_times(moify_cor(pparser(sink)))))
-        )
-
-        for i in expression.replace(" ", ""):
-            str2_corout.send(i)
-        a = str2_corout.throw(STOOOP)
-
-        return a
-
-    return pipeline
-
-
 str2nestedlist = str2(list_sink)
-
-
 # -----------------------------
 # Reglages pour 'vim'
 # vim:set autoindent expandtab tabstop=4 shiftwidth=4:

mapytex/calculus/core/tree.py

@@ -11,7 +11,7 @@ Tree class
 
 from .tree_tools import to_nested_parenthesis, postfix_concatenate, show_tree
 from .coroutine import coroutine, STOOOP
-from .str2 import str2, rdstr2
+from .str2 import str2
 from .operator import OPERATORS, is_operator
 
 __all__ = ["Tree", "MutableTree"]
@@ -51,7 +51,7 @@ class Tree:
         self.right_value = right_value
 
     @classmethod
-    def from_str(cls, expression, convert_to_mo=True, random=False):
+    def from_str(cls, expression, convert_to_mo=True):
         """ Initiate a tree from an string expression
 
         :example:
@@ -77,26 +77,8 @@ class Tree:
          > *
          | > 3
          | > n
-        >>> t = Tree.from_str("2+{n}x", random=True)
-        >>> print(t)
-        +
-         > 2
-         > *
-         | > {n}
-         | > x
-        >>> t = Tree.from_str("{a}({b}x+{c})", random=True)
-        >>> print(t)
-        *
-         > {a}
-         > +
-         | > *
-         | | > {b}
-         | | > x
-         | > {c}
-
-
         """
-        t = MutableTree.from_str(expression, convert_to_mo, random)
+        t = MutableTree.from_str(expression, convert_to_mo)
         return cls.from_any_tree(t)
 
     @classmethod
@@ -907,7 +889,7 @@ class MutableTree(Tree):
         self.right_value = right_value
 
     @classmethod
-    def from_str(cls, expression, convert_to_mo=True, random=False):
+    def from_str(cls, expression, convert_to_mo=True):
         """ Initiate the MutableTree
 
         :example:
@@ -963,29 +945,9 @@ class MutableTree(Tree):
          | | > 8
          | | > 3
          | > x
-        >>> t = MutableTree.from_str("{b}*x+{c}", random=True)
-        >>> print(t)
-        +
-         > *
-         | > {b}
-         | > x
-         > {c}
-        >>> t = MutableTree.from_str("{a}*({b}*x+{c})", random=True)
-        >>> print(t)
-        *
-         > {a}
-         > +
-         | > *
-         | | > {b}
-         | | > x
-         | > {c}
         """
-        if random:
-            str_2_mut_tree = rdstr2(cls.sink)
-            return str_2_mut_tree(expression)
-        else:
-            str_2_mut_tree = str2(cls.sink, convert_to_mo)
-            return str_2_mut_tree(expression)
+        str_2_mut_tree = str2(cls.sink, convert_to_mo)
+        return str_2_mut_tree(expression)
 
     @classmethod
     @coroutine

mapytex/calculus/random/__init__.py

@@ -0,0 +1,19 @@
+from .list import list_generator as list
+from .expression import expression_generator as expression
+
+__all__ = ["list", "expression"]
+
+"""
+Generate random stuffs
+======================
+
+list_generator
+==============
+
+Generate random lists
+
+expression_generator
+====================
+
+Generate random Expression
+"""

mapytex/calculus/random/core/__init__.py

@@ -0,0 +1,65 @@
+#! /usr/bin/env python
+# -*- coding: utf-8 -*-
+# vim:fenc=utf-8
+#
+# Copyright © 2017 lafrite <lafrite@Poivre>
+#
+# Distributed under terms of the MIT license.
+
+"""
+Tools to extract random leaves, random variables, generate random values and
+fill new trees
+
+Flow
+----
+
+Tree with RdLeaf
+|
+| Extract rdLeaf
+|
+List of leaves to generate
+|
+| extract_rv
+|
+List random variables to generate
+|
+| Generate
+|
+Dictionnary of generated random variables
+|
+| Compute leaves
+|
+Dictionnary of computed leaves
+|
+| Replace
+|
+Tree with RdLeaf replaced by generated values
+
+:example:
+
+>>> from .random_tree import RandomTree
+>>> from .leaf import RdLeaf
+>>> from .generate import random_generator
+>>> from .grammar import extract_letters, eval_words
+>>> rd_t = RandomTree("/", RdLeaf("a"), RdLeaf("a*k"))
+>>> print(rd_t)
+/
+ > {a}
+ > {a*k}
+>>> leaves = rd_t.random_leaves
+>>> leaves = ['a', 'a*k']
+>>> rd_varia = extract_letters(leaves)
+>>> sorted(list(rd_varia))
+['a', 'k']
+>>> generated = random_generator(rd_varia, conditions=['a%2+1'], global_config={"min_max": (-10, 10), "rejected":[0, 1]})
+>>> generated # doctest: +SKIP
+{'a': 7, 'k': 4}
+>>> computed = eval_words(leaves, generated)
+>>> computed # doctest: +SKIP
+{'a': 7, 'a*k': 28}
+>>> replaced = rd_t.eval_random_leaves(computed)
+>>> print(replaced) # doctest: +SKIP
+/
+ > 7
+ > 28
+"""

mapytex/calculus/random/core/generate.py

@@ -0,0 +1,116 @@
+#! /usr/bin/env python
+# -*- coding: utf-8 -*-
+# vim:fenc=utf-8
+#
+# Copyright © 2017 lafrite <lafrite@Poivre>
+#
+# Distributed under terms of the MIT license.
+
+
+from random import choice
+import math
+
+EVAL_FUN = {**math.__dict__}
+
+
+
+def complete_variable_configs(
+    variables, global_config: dict = {}, configs: dict = {}
+) -> dict:
+    """Completes variables configurations with the global configuration
+
+    :param variables: list of random variables to generate
+    :param global_config: global parameters
+    :param configs: global parameters
+    :return: complete variable scope
+
+    :example:
+    >>> completed = complete_variable_configs(["a", "b", "c", "d"],
+    ...                      global_config={"rejected": [], "min_max": (-10, 10)},
+    ...                      configs={
+    ...                       "a": {"rejected": [0, 1]},
+    ...                       "b": {"min_max": (-5, 0)},
+    ...                       "c": {"rejected": [2], "min_max": (0, 5)}
+    ...                       })
+    >>> completed["a"] == {'rejected': [0, 1], 'min_max': (-10, 10)}
+    True
+    >>> completed["b"] == {'rejected': [], 'min_max': (-5, 0)}
+    True
+    >>> completed['c'] == {'rejected': [2], 'min_max': (0, 5)}
+    True
+    >>> completed['d'] == {'rejected': [], 'min_max': (-10, 10)}
+    True
+    """
+    complete_configs = configs.copy()
+    for variable in variables:
+        try:
+            complete_configs[variable]
+        except KeyError:
+            complete_configs[variable] = global_config
+        else:
+            complete_configs[variable] = dict(global_config, **configs[variable])
+    return complete_configs
+
+
+def random_generator(
+    variables: list[str],
+    conditions: list[str] = [],
+    global_config: dict = {},
+    configs: dict = {},
+) -> dict[str, int]:
+    """Generate random variables
+
+    :param variables: list of random variables to generate
+    :param conditions: condition over variables
+    :param global_config: global parameters
+    :param configs: global parameters
+    :return: dictionnary of generated variables
+
+    In variables and configurations, you have access to all math module functions
+
+    :example:
+    >>> gene = random_generator(["a", "b"],
+    ...                  ["a > 0"],
+    ...                  {"rejected": [0], "min_max":(-10, 10)},
+    ...                  {"a": {"rejected": [0, 1]},
+    ...                   "b": {"min_max": (-5, 0)},
+    ...                  })
+    >>> gene["a"] > 0
+    True
+    >>> gene["a"] != 0
+    True
+    >>> gene["b"] < 0
+    True
+    >>> gene = random_generator(["a", "b"],
+    ...                  ["a % b == 0"],
+    ...                  {"rejected": [0, 1], "min_max":(-10, 10)}
+    ...                  )
+    >>> gene["a"] not in [0, 1]
+    True
+    >>> gene["b"] in list(range(-10, 11))
+    True
+    >>> gene["a"] % gene["b"]
+    0
+    """
+    complete_scope = complete_variable_configs(variables, global_config, configs)
+    choices_list = {
+        v: list(
+            set(
+                range(
+                    complete_scope[v]["min_max"][0], complete_scope[v]["min_max"][1] + 1
+                )
+            ).difference(complete_scope[v]["rejected"])
+        )
+        for v in variables
+    }
+
+    # quantity_choices = reduce(lambda x,y : x*y,
+    #                           [len(choices_list[v]) for v in choices_list])
+    # TODO: améliorer la méthode de rejet avec un cache |dim. mai 12 17:04:11 CEST 2019
+
+    generate_variable = {v: choice(choices_list[v]) for v in variables}
+
+    while not all([eval(c, EVAL_FUN, generate_variable) for c in conditions]):
+        generate_variable = {v: choice(choices_list[v]) for v in variables}
+
+    return generate_variable

mapytex/calculus/random/core/grammar.py

@@ -0,0 +1,43 @@
+import math
+
+EVAL_FUN = {**math.__dict__}
+
+def extract_letters(words: list[str]) -> set[str]:
+    """Extracts unique letters from a list of words
+
+    :param words: list of leafs
+    :return: set of letters
+
+    :example:
+    >>> leafs = ["a", "a*k"]
+    >>> extract_letters(leafs) == {'a', 'k'}
+    True
+    """
+    letters = set()
+    for word in words:
+        for c in word:
+            if c.isalpha():
+                letters.add(c)
+    return letters
+
+
+def eval_words(words: list[str], values: dict[str, int]) -> dict[str, int]:
+    """Evaluate words replacing letters with values
+
+    :param words: list of words
+    :param values: Dictionary of letters:value
+    :return: Dictionary of evaluated words from generated values
+
+    In words, you have access to all math module functions
+
+    :example:
+    >>> leafs = ["a", "a*k"]
+    >>> generated_values = {"a":2, "k":3}
+    >>> eval_words(leafs, generated_values)
+    {'a': 2, 'a*k': 6}
+    >>> leafs = ["exp(a)", "gcd(a, k)"]
+    >>> generated_values = {"a":2, "k":3}
+    >>> eval_words(leafs, generated_values)
+    {'exp(a)': 7.38905609893065, 'gcd(a, k)': 1}
+    """
+    return {word: eval(word, EVAL_FUN, values) for word in words}

mapytex/calculus/random/core/int_gene.py

@@ -16,38 +16,38 @@ __all__ = ["reject_random", "filter_random", "FilterRandom"]
 
 
 def reject_random(min_value=-10, max_value=10, rejected=[0, 1], accept_callbacks=[]):
-    """ Generate a random integer with the rejection method
+    """Generate a random integer with the rejection method
 
-        :param name: name of the Integer
-        :param min_value: minimum value
-        :param max_value: maximum value
-        :param rejected: rejected values
-        :param accept_callbacks: list of function for value rejection
+    :param name: name of the Integer
+    :param min_value: minimum value
+    :param max_value: maximum value
+    :param rejected: rejected values
+    :param accept_callbacks: list of function for value rejection
 
-        :example:
-        >>> a = reject_random()
-        >>> a not in [0, 1]
-        True
-        >>> a >= -10
-        True
-        >>> a <= 10
-        True
-        >>> a = reject_random(min_value=3, max_value=11, rejected=[5, 7])
-        >>> a not in [5, 7]
-        True
-        >>> a >= 3
-        True
-        >>> a <= 11
-        True
-        >>> a = reject_random(accept_callbacks=[lambda x: x%2])
-        >>> a%2
-        1
-        >>> random.seed(0)
-        >>> reject_random()
-        2
-        >>> random.seed(1)
-        >>> reject_random()
-        -6
+    :example:
+    >>> a = reject_random()
+    >>> a not in [0, 1]
+    True
+    >>> a >= -10
+    True
+    >>> a <= 10
+    True
+    >>> a = reject_random(min_value=3, max_value=11, rejected=[5, 7])
+    >>> a not in [5, 7]
+    True
+    >>> a >= 3
+    True
+    >>> a <= 11
+    True
+    >>> a = reject_random(accept_callbacks=[lambda x: x%2])
+    >>> a%2
+    1
+    >>> random.seed(0)
+    >>> reject_random()
+    2
+    >>> random.seed(1)
+    >>> reject_random()
+    -6
 
     """
     conditions = [lambda x: x not in rejected] + accept_callbacks
@@ -60,38 +60,38 @@ def reject_random(min_value=-10, max_value=10, rejected=[0, 1], accept_callbacks
 
 
 def filter_random(min_value=-10, max_value=10, rejected=[0, 1], accept_callbacks=[]):
-    """ Generate a random integer by filtering then choosing a candidate
+    """Generate a random integer by filtering then choosing a candidate
 
-        :param name: name of the Integer
-        :param min_value: minimum value
-        :param max_value: maximum value
-        :param rejected: rejected values
-        :param accept_callbacks: list of function for value rejection
+    :param name: name of the Integer
+    :param min_value: minimum value
+    :param max_value: maximum value
+    :param rejected: rejected values
+    :param accept_callbacks: list of function for value rejection
 
-        :example:
-        >>> a = filter_random()
-        >>> a not in [0, 1]
-        True
-        >>> a >= -10
-        True
-        >>> a <= 10
-        True
-        >>> a = filter_random(min_value=3, max_value=11, rejected=[5, 7])
-        >>> a not in [5, 7]
-        True
-        >>> a >= 3
-        True
-        >>> a <= 11
-        True
-        >>> a = filter_random(accept_callbacks=[lambda x: x%2])
-        >>> a%2
-        1
-        >>> random.seed(0)
-        >>> filter_random()
-        -7
-        >>> random.seed(1)
-        >>> filter_random()
-        6
+    :example:
+    >>> a = filter_random()
+    >>> a not in [0, 1]
+    True
+    >>> a >= -10
+    True
+    >>> a <= 10
+    True
+    >>> a = filter_random(min_value=3, max_value=11, rejected=[5, 7])
+    >>> a not in [5, 7]
+    True
+    >>> a >= 3
+    True
+    >>> a <= 11
+    True
+    >>> a = filter_random(accept_callbacks=[lambda x: x%2])
+    >>> a%2
+    1
+    >>> random.seed(0)
+    >>> filter_random()
+    -7
+    >>> random.seed(1)
+    >>> filter_random()
+    6
     """
     candidates = set(range(min_value, max_value + 1))
     candidates = {c for c in candidates if c not in rejected}
@@ -111,8 +111,7 @@ def filter_random(min_value=-10, max_value=10, rejected=[0, 1], accept_callbacks
 
 class FilterRandom(object):
 
-    """ Integer random generator which filter then choose candidate
-    """
+    """Integer random generator which filter then choose candidate"""
 
     # TODO: Faire un cache pour éviter de reconstruire les listes à chaque fois |ven. déc. 21 19:07:42 CET 2018
 
@@ -133,7 +132,7 @@ class FilterRandom(object):
         }
 
     def add_candidates(self, low, high):
-        """ Add candidates between low and high to _candidates """
+        """Add candidates between low and high to _candidates"""
         if low < self._min:
             self._min = low
             useless_low = False
@@ -157,11 +156,11 @@ class FilterRandom(object):
             )
 
     def candidates(self, min_value=-10, max_value=10):
-        """ Return candidates between min_value and max_value """
+        """Return candidates between min_value and max_value"""
         return [c for c in self._candidates if (c > min_value and c < max_value)]
 
     def __call__(self, min_value=-10, max_value=10):
-        """ Randomly choose on candidate """
+        """Randomly choose on candidate"""
         self.add_candidates(min_value, max_value)
         return random.choice(self.candidates(min_value, max_value))
 

mapytex/calculus/random/core/leaf.py

@@ -9,15 +9,15 @@
 """
 
 """
-from ..coroutine import *
+from ...core.coroutine import coroutine, STOOOP
 
 
 @coroutine
 def look_for_rdleaf(target):
-    """ Coroutine which look to "{...}" which are RdLeaf
+    """Coroutine which look to "{...}" which are RdLeaf
 
     :example:
-    >>> from ..str2 import list_sink
+    >>> from ...core.str2 import list_sink
     >>> str2list = look_for_rdleaf(list_sink)
     >>> for i in "{a}+{a*b}-2":
     ...    str2list.send(i)
@@ -53,9 +53,7 @@ def look_for_rdleaf(target):
 
 
 class RdLeaf:
-    """ Random leaf
-
-    """
+    """Random leaf"""
 
     def __init__(self, name):
         self._name = name

mapytex/calculus/random/core/random_tree.py

@@ -0,0 +1,118 @@
+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
+
+
+class RandomTree(MutableTree):
+    """MutableTree that accept {a} syntax for random generation
+
+    :example:
+    >>> t = RandomTree()
+    >>> type(t)
+    <class 'mapytex.calculus.random.core.random_tree.RandomTree'>
+    """
+
+    @classmethod
+    def from_str(cls, expression):
+        """Initiate a random tree from a string that need to be parsed
+
+        :exemple:
+        >>> t = RandomTree.from_str("{b}*x+{c}")
+        >>> print(t)
+        +
+         > *
+         | > {b}
+         | > x
+         > {c}
+        >>> t = RandomTree.from_str("{a}*({b}*x+{c})")
+        >>> print(t)
+        *
+         > {a}
+         > +
+         | > *
+         | | > {b}
+         | | > x
+         | > {c}
+        """
+        str_2_mut_tree = rdstr2(cls.sink)
+        return str_2_mut_tree(expression)
+
+    @property
+    def random_leaves(self) -> list[str]:
+        """Get list of random leaves
+
+        :example:
+        >>> from .leaf import RdLeaf
+        >>> random_tree = RandomTree("+", RdLeaf("a"), RdLeaf("a*k"))
+        >>> random_tree.random_leaves
+        ['a', 'a*k']
+        >>> random_tree = RandomTree("+", RdLeaf("a"), 2)
+        >>> random_tree.random_leaves
+        ['a']
+        """
+        rd_leafs = []
+        for leaf in self.get_leafs():
+            try:
+                leaf.rdleaf
+            except AttributeError:
+                pass
+            else:
+                rd_leafs.append(leaf.name)
+        return rd_leafs
+
+    @property
+    def random_value(self) -> set[str]:
+        """Get set of random values to generate
+
+        :example:
+        >>> from .leaf import RdLeaf
+        >>> random_tree = RandomTree("+", RdLeaf("a"), RdLeaf("a*k"))
+        >>> random_tree.random_value == {'a', 'k'}
+        True
+        >>> random_tree = RandomTree("+", RdLeaf("a"), 2)
+        >>> random_tree.random_value
+        {'a'}
+        """
+        return extract_letters(self.random_leaves)
+
+    def eval_random_leaves(self, leaves_value: dict[str, int]):
+        """Given random leaves value get the tree
+
+        :example:
+        >>> from .leaf import RdLeaf
+        >>> rd_t = RandomTree("+", RdLeaf("a"), RdLeaf("a*k"))
+        >>> leaves_values = {'a': 2, 'a*k': 6}
+        >>> t = rd_t.eval_random_leaves(leaves_values)
+        >>> type(t)
+        <class 'mapytex.calculus.core.tree.Tree'>
+        >>> print(t)
+        +
+         > 2
+         > 6
+        """
+
+        def replace(leaf):
+            try:
+                return leaf.replace(leaves_value)
+            except AttributeError:
+                return leaf
+
+        return self.map_on_leaf(replace).map_on_leaf(moify)
+
+    def generate(
+        self, conditions: list[str] = [], global_config: dict = {}, configs: dict = {}
+    ) -> Tree:
+        """Generate a random version of self
+
+        :param conditions: list of conditions
+        :param config: global configuration for generated values
+        :param configs: specific configuration for each generated values
+
+        """
+        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/core/str2.py

@@ -0,0 +1,40 @@
+from ...core.operator import is_operator
+from functools import partial
+from ...core.str2 import (
+    concurent_broadcast,
+    lookforNumbers,
+    pparser,
+    missing_times,
+    lookfor,
+)
+from ...core.coroutine import STOOOP
+from ...core.MO import moify_cor
+from .leaf import look_for_rdleaf
+
+
+def rdstr2(sink):
+    """Return a pipeline which parse random expression and with sink as endpoint
+
+    :example:
+    >>> from ...core.str2 import list_sink
+    >>> rdstr2list = rdstr2(list_sink)
+    >>> rdstr2list("{a}+{a*b}-2")
+    [<RdLeaf a>, '+', <RdLeaf a*b>, '+', <MOnumber -2>]
+    >>> rdstr2list("{a}({b}x+{c})")
+    [<RdLeaf a>, '*', [<RdLeaf b>, '*', <MOstr x>, '+', <RdLeaf c>]]
+    """
+    lfop = lookfor(is_operator)
+    operator_corout = partial(concurent_broadcast, lookfors=[lfop])
+
+    def pipeline(expression):
+        str2_corout = look_for_rdleaf(
+            lookforNumbers(operator_corout(missing_times(moify_cor(pparser(sink)))))
+        )
+
+        for i in expression.replace(" ", ""):
+            str2_corout.send(i)
+        a = str2_corout.throw(STOOOP)
+
+        return a
+
+    return pipeline

mapytex/calculus/random/expression.py

@@ -0,0 +1,43 @@
+from ..API.expression import Expression
+from .core.random_tree import RandomTree
+
+DEFAUTL_CONFIG = {
+    "rejected": [0, 1],
+    "min_max": (-10, 10),
+}
+
+
+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 global_config: configuration for all variables
+    :param configs: configuration for each variables
+    :return: Expression or Token generated
+
+    :example:
+    >>> e = expression_generator("{a}/{a*k}")
+    >>> e # doctest: +SKIP
+    <Exp: -3 / -15>
+    >>> e = expression_generator("{a}/{a*k} - 3*{b}", configs={'a':{'min_max':(10, 30)}})
+    >>> e # doctest: +SKIP
+    <Exp: 18 / 108 - 3 * 9>
+    >>> 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_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

@@ -0,0 +1,64 @@
+"""
+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}
+"""
+
+from .core.generate import random_generator
+from .core.grammar import extract_letters, eval_words
+
+DEFAUTL_CONFIG = {
+    "rejected": [0],
+    "min_max": (-10, 10),
+}
+
+
+def list_generator(
+    template: list[str],
+    conditions: list[str] = [],
+    global_config: dict = {},
+    configs: dict = {},
+) -> list[int]:
+    """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 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"])
+    >>> a, ab, b, c # doctest: +SKIP
+    (5, -20, -4, -3)
+    >>> a * b == ab
+    True
+    >>> ab # doctest: +SKIP
+    -20
+    >>> a, b # doctest: +SKIP
+    5, -4
+    >>> a, ab, b, c = list_generator(["a", "a*b", "b", "c"], conditions=["a-b==0"])
+    >>> a - b == 0
+    True
+    >>> a, ab, b, c = list_generator(["a", "a*b", "b", "c"], global_config={"rejected": [2, 3, 5, 7]})
+    >>> a not in [2, 3, 5, 7]
+    True
+    >>> b not in [2, 3, 5, 7]
+    True
+    >>> c not in [2, 3, 5, 7]
+    True
+    >>> a, ab, b, c = list_generator(["a", "a*b", "b", "c"], configs={"a": {"rejected": [2, 3, 5, 7]}})
+    >>> a not in [2, 3, 5, 7]
+    True
+    """
+    rv = extract_letters(template)
+    rv_gen = random_generator(
+        rv, conditions, dict(DEFAUTL_CONFIG, **global_config), configs
+    )
+    generated = eval_words(template, rv_gen)
+    return [generated[v] for v in template]

test/calculus/core/test_render.py

@@ -17,7 +17,7 @@ def test_changing_render():
 
 def test_changing_rending():
     e = mapytex.Expression.from_str("2*3")
-    f = mapytex.Fraction("2/3")
+    f = mapytex.Expression.from_str("2/3")
     assert str(e) == "2 * 3"
     assert str(f) == "2 / 3"
     mapytex.render.set_render("tex")

test/calculus/random/test_expression_generator.py

@@ -0,0 +1,15 @@
+import mapytex
+
+def test_generate_expression():
+    random_expression = mapytex.random.expression("{a}+{b}")
+    assert type(random_expression).__name__ == "Expression"
+    random_expression = mapytex.random.expression("{a}/{b}")
+    assert type(random_expression).__name__ == "Fraction"
+
+def test_generate_expression_calculus():
+    random_expression = mapytex.random.expression("{a}+{a*b}")
+    assert type(random_expression).__name__ == "Expression"
+    random_expression = mapytex.random.expression("{a}/{a*b}")
+    assert type(random_expression).__name__ == "Fraction"
+    assert random_expression.denominator / random_expression.numerator >=1
+

test/calculus/random/test_list_generator.py

@@ -0,0 +1,55 @@
+import mapytex
+
+def test_generate_list():
+    random_list = mapytex.random.list(["a", "b"])
+    assert len(random_list) == 2
+    random_list = mapytex.random.list(["a", "b", "c"])
+    assert len(random_list) == 3
+    random_list = mapytex.random.list(["a", "b", "a", "b"])
+    assert random_list[0] == random_list[2]
+    assert random_list[1] == random_list[3]
+
+def test_generate_list_calculus():
+    random_list = mapytex.random.list(["a", "b", "a+b"])
+    assert random_list[0] + random_list[1] == random_list[2]
+
+    random_list = mapytex.random.list(["a", "b", "a-b"])
+    assert random_list[0] - random_list[1] == random_list[2]
+
+    random_list = mapytex.random.list(["a", "b", "a*b"])
+    assert random_list[0] * random_list[1] == random_list[2]
+
+    random_list = mapytex.random.list(["a", "b", "a/b"])
+    assert random_list[0] / random_list[1] == random_list[2]
+
+def test_generate_list_calculus_math():
+    import math
+    a, b, gcd = mapytex.random.list(["a", "b", "gcd(a, b)"])
+    assert math.gcd(a, b) == gcd
+    a, b, exp, cos = mapytex.random.list(["a", "b", "exp(a)", "cos(b)"])
+    assert math.exp(a) == exp
+    assert math.cos(b) == cos
+
+
+def test_generate_list_conditions():
+    a, b = mapytex.random.list(["a", "b"], conditions=["a + b == 10"])
+    assert a + b == 10
+    a, b = mapytex.random.list(["a", "b"], conditions=["a * b > 0", "a + b == 10"])
+    assert a + b == 10
+    assert a * b > 0
+
+def test_generate_list_conditions_math():
+    import math
+    a, b = mapytex.random.list(["a", "b"], conditions=["gcd(a, b) == 3"])
+    assert math.gcd(a, b) == 3
+
+def test_generate_list_global_config():
+    global_config = {"rejected": [0, 1, 2, 3]}
+    a, = mapytex.random.list(["a"], global_config=global_config)
+    assert a not in global_config["rejected"]
+
+    global_config = {"min_max": (20, 30)}
+    a, = mapytex.random.list(["a"], global_config=global_config)
+    assert a >= 20
+    assert a <= 30
+