malcolmgreaves

fn foo() -> impl Fn(i32) -> i32 {
    |x| x + 1
}

fn qux<F>(f: F) -> i32
where F: Fn(i32) -> i32 {
    f(10)
}

pub fn main() {

malcolmgreaves

fn foo() -> impl Fn(i32) -> i32 {
    |x| x + 1
}

fn bar(f: &impl Fn(i32) -> i32) -> i32 {
   f(10)
}

fn baz(f: &dyn Fn(i32) -> i32) -> i32 {
  f(10)

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",