cav71

class parametric(object):
    @property
    def name(self):
        return '{0}_{1}'.format(self.fn.__name__, self.index)

    def __init__(self, fn, spec, index, arg):
        self.fn, self.spec, self.index, self.arg = fn, spec, index, arg
        #self.__call__.__doc__ = self.fn.__doc__
        #self.__call__.__name__ = self.fn.__name__

cav71

import sys
import threading
import random
import time
import ctypes


def core(i: int, abort: int) -> None:
    time.sleep(random.randint(1,10)*0.1)
    while True:

cav71

#!/opt/venvs/ops/bin/python3
import argparse
from pathlib import Path


def app(notes: dict[str, list[str]]):
    from textual.app import App, ComposeResult
    from textual.widgets import Collapsible, Footer, Label, Markdown

cav71

#!/usr/bin/env -S uv run --no-project
# /// script
# requires-python = ">=3.12"
# dependencies = [
#  "textual"
# ]
# ///
import argparse
from pathlib import Path

cav71

#!/usr/bin/env python3
# Usage:
#   git clone https://github.com/OpenCageData/address-formatting.git
#   ./lister.py IN CH CA MX HK
from __future__ import annotations
import argparse
import sys
from pathlib import Path
from typing import Any
import yaml

cav71

# use:
#   1. prepare the json input for gemini
#       routings_py dump-json-input | pbcopy
#   2. feed the AI with a prompt:
#       > You are an expert data transformation engine. Your task is to convert an input JSON list into a new JSON list based on a set of specific rules.
#       > The input data is
#           ```json
#               [PUT HERE THE 1. output
#       > convert the second element of each row using the correct capitalization for the company name.
#   3. save the json output somewhere

cav71

# uv run  https://gist.github.com/cav71/c2918b177bcddb782116b7867ae12bc5/raw
# /// script
# dependencies = [
#   "schwifty",
#   "fastapi[standard]",
#   "uvicorn",
# ]
# ///

# https://docs.developer.swift.com/docs/api-guides/swiftref-api/swiftref-api-reference#tag/account_numbers/operation/getAccountNumberValidity

cav71

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