This visualization was completed for my thesis on measuring the dissapation of transverse sound waves in aqueous media under adiabatic conditions. Jk, its just a cool UV playground
Try it out here!
from abc import ABC, abstractmethod | |
from typing import ( | |
Type, | |
Any, | |
List, | |
Dict, | |
Literal, | |
Optional, | |
Set, | |
Union, |
GLWT (Good Luck With That) Public License | |
Copyright (c) Everyone, except Author | |
Everyone is permitted to copy, distribute, modify, merge, sell, publish, | |
sublicense or whatever they want with this software but at their OWN RISK. | |
Preamble | |
The author has absolutely no clue what the code in this project does. | |
It might just work or not, there is no third option. |
This visualization was completed for my thesis on measuring the dissapation of transverse sound waves in aqueous media under adiabatic conditions. Jk, its just a cool UV playground
Try it out here!
async def __call__( | |
self, | |
*, | |
action: Action, | |
text: str | None = None, | |
coordinate: tuple[int, int] | None = None, | |
**kwargs, | |
): | |
if action in ("mouse_move", "left_click_drag"): | |
if coordinate is None: |
This is a start. It doesn't work atm.
$ python open1.py --epochs 3 --use_mcts --multi_agent --progressive_training --visualize
2024-09-16 07:51:04.977649: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
Objective:
We are building a SaaS application where common features like CRUD operations, authentication, access control, background tasks, real-time communication, and templated entities are required. Below is a general framework you can use for building SaaS applications.
CRUDBase
:I am attesting that this GitHub handle JacobFV is linked to the Tezos account tz1Zc5iZyfdtoVcMwG1dHY7F11FH7DWVTJic for tzprofiles | |
sig:edsigtjzq5fN911g9oxkn4WLMg21D1BaY6VeaALTGx1dAEsDSQisqTgXy5MaVkShYWmeABhZiNhw8YocR5GD72fiPvvqpBVC1YE |
def polymorphic(fn): | |
""" | |
A decorator for creating polymorphic functions. | |
This decorator allows you to define a base function and register multiple | |
implementations for different conditions. When the decorated function is called, | |
it will execute the appropriate implementation based on the registered conditions. | |
The decorator adds a 'register' method to the wrapped function, which can be used | |
to register new implementations with their corresponding condition functions. |
def call_with_appropriate_args(fn, *args, **kwargs): | |
""" | |
Call a function with only the arguments it can accept. | |
This function inspects the signature of the given function and calls it with | |
only the arguments that match its parameters. It filters out any excess | |
arguments that are not part of the function's signature. | |
Args: | |
fn (callable): The function to be called. |
class HasPermissions(SQLBaseModel, table=False): | |
""" | |
A base class to handle permission levels for viewing and updating fields in SQLModel entities. | |
This class allows setting permissions at the field level and automatically applies these permissions | |
as SQL policies on the database. | |
Attributes: | |
__owner_field_name__ (ClassVar[Optional[str]]): The name of the field that identifies the owner of the record. | |
Usage: |