malcolmgreaves

Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

malcolmgreaves

from setuptools import setup


if __name__ == "__main__":

    def has_requirement(x: str) -> bool:
        x = x.strip()
        if x.startswith("#"):
            return False
        return True

malcolmgreaves

from typing import Any, Literal


def is_literal(literal_type: type, value: Any) -> bool:
    """Returns True iff the `value` is a variant of the input `literal_type`. False otherwise.

    Raises a `ValueError` iff the input `literal_type` is not a `typing.Literal`.
    """
    if not hasattr(literal_type, '__origin__') or literal_type.__origin__ != Literal:
        raise ValueError(f"Expecting literal type, not {literal_type=}")

malcolmgreaves

#!/usr/bin/env bash

set -euo pipefail

####################################################################

#
# Reusable functions for creating a local temporary directory:
#   - [mk_tmp_dir] create local directory with unique name
#   - [cleanup] add exit trap to rm this directory

malcolmgreaves

#!/usr/bin/env bash

apt update

#
# install lmdb
#
apt install -y liblmdb-dev

LMDB_FORCE_SYSTEM=1 LMDB_FORCE_CFFI=1 pip install cffi 

malcolmgreaves

# syntax=docker/dockerfile:1.3
ARG UBUNTU_VERSION=18.04
ARG CUDA_VERSION=11.3.1

# Or use a different image. 
FROM nvidia/cuda:${CUDA_VERSION}-cudnn8-devel-ubuntu${UBUNTU_VERSION}

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
#                                                                 #
#                         system packages                         #

malcolmgreaves

from datetime import datetime

import pandas as pd

now = datetime.now()

df = pd.DataFrame.from_dict(
    {
        "created_at": pd.Series([now, now - timedelta(seconds=100), now + timedelta(seconds=10)], dtype='object'),
    }

malcolmgreaves

from abc import ABC
from dataclasses import dataclass
from typing import List, NamedTuple, Sequence, Type, TypeVar

import pandas as pd


__all__: Sequence[str] = (
    # main abstraction & utilities for columns required in a dataframe
    "Columns",

malcolmgreaves

# Run this example:
#
# mysecret=SECRET_VALUE docker build --secret id=mysecret,env=mysecret -f Dockerfile -t deleteme .
# 
FROM debian:trixie-slim

RUN <<EOF cat >> file
#!/bin/bash
if [[ -z "\${MYSECRET}" ]]; then
  echo "No MYSECRET env var!!!"

malcolmgreaves

[build-system]
requires = ["setuptools", "wheel", "setuptools_scm"]
build-backend = "setuptools.build_meta"

[project]
name = "mypackage"
requires-python = ">=3.10"
dynamic = ["dependencies"]

[tool.setuptools.dynamic]