agoose77

import requests
import pathlib
import os
import re
from sphinx.util import logging

logger = logging.getLogger(__name__)


def emoji_to_identifier(emoji):

agoose77

% Support emoji
\usepackage{fontspec}
\newfontfamily{\emojifont}{Noto Emoji}
\usepackage[Latin, Greek, Dingbats, TransportAndMapSymbols, MiscellaneousSymbolsAndPictographs]{ucharclasses}

\setTransitionsFor{MiscellaneousSymbolsAndPictographs}{\begingroup\emojifont}{\endgroup}
\setTransitionsFor{TransportAndMapSymbols}{\begingroup\emojifont}{\endgroup}
\setTransitionsFor{Dingbats}{\begingroup\emojifont}{\endgroup}

agoose77

// ==UserScript==
// @name         Hide Adverts
// @namespace    http://tampermonkey.net/
// @version      0.1
// @description  try to take over the world!
// @author       You
// @match           https://www.amazon.co.jp/*
// @match           https://smile.amazon.co.uk/*
// @match           https://www.amazon.co.uk/*
// @match           https://smile.amazon.com/*

agoose77

import numba
import ast
import awkward as ak
import inspect

from numba import literal_unroll

ak.numba.register()

agoose77

hist==2.6.1
numpy>=1.17
mplhep==0.3.23

agoose77

%%script env -S podman run --rm -i -w /source -v {cwd}:/source --entrypoint=python3 garfieldpp

agoose77

import math


@nb.njit
def _reservoir_sample_prepare(n, w, i, out):
    k = len(out)

    out[:] = np.arange(k, dtype=out.dtype)
    i[()] = k - 1
    w[()] = 1

agoose77

@ak._connect._numpy.implements("stack")
def stack(arrays, axis=0, merge=True, mergebool=True, highlevel=True, behavior=None):
    """
    Args:
        arrays: Arrays to concatenate along any dimension.
        axis (int): The dimension at which this operation is applied. The
            outermost dimension is `0`, followed by `1`, etc., and negative
            values count backward from the innermost: `-1` is the innermost
            dimension, `-2` is the next level up, etc.
        merge (bool): If True, combine data into the same buffers wherever

agoose77

def choose(a, choices, mode="raise", highlevel=True, behavior=None):
    def getfunction(inputs, depth):
        if not all(x.purelist_depth == 1 for x in inputs):
            return
        
        arrays = [nplike.asarray(x) for x in inputs]

        a = arrays[0]
        choices = arrays[1:]
        out = np.choose(a, choices, mode=mode)

agoose77

def promote_option(
    array: ak.Array,
    axis: int = None,
    union: bool = True,
    highlevel=True,
    behavior=None,
) -> ak.Array:
    nplike = ak.nplike.of(array)
    layout = ak.to_layout(array)
    posaxis = layout.axis_wrap_if_negative(axis)