pyvorse 1.0.4
Simple essentials extension library of additions to vanilla python.
License: MIT
Requires Python: >=3.9,<4.0
Keywords: essentials,extension,simple,small

# pyvorse
## Simple essentials extension library of additions to vanilla python.

---

### Includes:
- [core]:
  - @attribute - converts any function with (arg: str) to attribute processor
  - w. - attribute processor to faster writing short words, dont use it in speed is important. For obvious reasons, such a word notation is guaranteed to conform to python's naming conventions. w.var_name = "var_name"
  - class: basis - extended base class
  - @throws(*exceptions_cls) - marks function with classes, that can be thrown
  - isthrows(exception_cls) - test function to be marked with `@throws()`
  - trycall(func, *args, **kwargs) -> tuple[result, exception] - catches exceptions in function call
  - @safe - converts function to its copy, but automatically called inside `trycall()`, and returns tuple[result, exception]
  - Operators - enum for @calloperators
  - @calloperators(op: Operators = Operators.All) - converts function to object, that calls with secon operand and returns result of it function on using operator, selected in argument. Operand still can be called as function.
  - reprint() - operand-variation of print function, can be called like `reprint - w.text_to_show`. If prints only one value, value will be returned as result.
  - @functor - allows function to be called with self object as first argument. to work with its fields as example.
  - class: unibox - class, that locks value inside field `.inbox`, and contains dict for metadata, and can be stopped with `.stop()`, and be test for it by `.stopped`, or `.isStopped()`
  - copyAllProps(dest, source) - function copies all attributes from source to dest, but ignores attributes with name starting with duble underscore '__'
- [data]:
  - //ALL_FROM_SUBMODULES//
  - [deep]
    - deep - Implements a simplified version of javascript objects based on the "dict" class. Can be created directly or through a class of similar objects that extends "dci". Prototypal inheritance. All methods to look deeper starts with word «deep», like `.deepget(name)`. More details on the wiki.
    - dci - empty base deepclass, use its `.extend(new_prototype: deep, *names: str)` method, that returns new deepclass object
    - class: DeepCalss - *ignore it, nothing more then python`s class of «dci»*
  - [positioned]
    - class: poslist - list, based on dict. Aloows to contain skips inside.
  - [simple]
    - class: loop - list, but handles index overload like list is lopped
    - class: scope - dict, but allows get-access to items like access to attributes, and attribute-like set access, but onky for keys, already present in dict. Allows to find item by number of a key (it automatically sorted in dicts). Allows getting values dynamic/ Value is a function to be called with self dict as first argument. `.getDynamic(key)` 
    - class: stack - list, extended only, no changes. `.setvalidation(validator: Callable)` - validates values on pushing to the stack. `.push(value)` and `.leftpush(value)`, `.pushes(value)` and `.leftpushes(value)`. Raises ValueError, if loses validation. `.pull()` and `.leftpull(value)` - works like default `.pop()` but without arguments, for last and first element.
  - [smart]
    - class: smartlist - list, but with additional methods. find, select, filtered (iter), filter, any, all, astuole, asslist, asset, foreach, mapper, reducer, sort, sliced, slicedstart, slicedend. Working with predicates and callbacks. Details on wiki.
    - class: handle - Primitive handlers container, simplest pipeline. Objects can be used as decorators, or called with callback passed. On each step calls callback with box on first argument.
    - class: objectAddress - Create, object `adr = objectAddress()`, write your way `adr["Configs"]["chances"]["spawn"](lambda pos: pos[SNEED])`, and use it on data structire `adr.use(CONFIGS_ROOT)`. It returns same for `CONFIGS_ROOT["Configs"]["chances"]["spawn"][SNEED]`, but can be used nultiple times and dynamically.
  - [spiders]
    - class: spider(seeker: Callable, worker: Callable) - spiders can work with complex data structures. Seeker selexts new node, worker does something here. Seeker and worker will be called with (struct, dot, box). Use `box.stop()` to finish spiders`s walk. But worker will be called even if you stop it in seeker. 
  - [table]
    - class: Table - contains headers and rows. use `table[index_column][index_row]` or better `table.getitem(row:int, col:int)` for extracting values. Use `adddefaultheader(self, name: str, align: int = 0, default=None)` to add new column. You can use `.getdynamic(row:int, col:int)` to work with dynamic values. functions, that will be called with (table: Table, row:int, col:int). For example - auto-numerations. Rendering method not presented! Inherit class, and add any render you want, markdown or html for example.
    - class: Column - saves names and align for headers. Saves default values for tables.
    - class: Row: poslist - class represents rows in the table
- [mathematics] - Whole default math, but with 2 new functions. `trin(n)` for triangular number and count of diagonals in any shape. `hexcount(n)` - for calculatinc number of hexagonal cells in radius from one.
- [pipeline] - simple tools for complex piplines
  - //ALL_FROM_SUBMODULES//
  - [datacell]
    - class: dcell: core.unibox - just container for value in pipeline.
  - [mains] - Default pipline functions containers:
    - DictionaryPipeline
    - ListPipeline
  - [routers] - full pipeline conveyor build. Cotains static metadata. Uses pointer to select new function, and it can be method from pipeline container.
    - class: router - Read on wiki! Use `r.launch(cell)` or `r(cell)`. All functions in pipeline will be called with `(cell, staticmeta)`, with staticmeta from router.
- [tests]
  - //ALL_FROM_SUBMODULES//
  - [exprs]
    - iterable(o) - allows to get iterator from object, and using `o` inside for..in cycle
    - nextable(o) - allows to use `next(o)`
    - forable(o) - deeper version of `iterable(o)` test.
    - instanceof(o, *cls) - alternative notation to isinstance, like `instanceof(my_num, int, float, complex)`
    - withable(o) - allows with.. as..
    - awithable(o) - allows async with.. as..
    - isinrange(_list, index) - test index for a range in the index
  - [other]
    - hashable(o) - can be used as key for dictionary or not.
    - haskey(o, key) - like hasattr, but tests for `o[key]`
    - isand(o, *t) - tests o to be all of *t
    - isor(o, *t) - tests o to be any of *t
    - eqand(o, *t) - tests o to be equal to all of *t
    - eqor(o, *t) - tests o to be equal to any of *t
    - haslen(o) - can be item used in `len(o)` or not.