yetone

Installing tmux-256color for macOS

• macOS 10.15.5
• tmux 3.1b

macOS has ncurses version 5.7 which does not ship the terminfo description for tmux. There're two ways that can help you to solve this problem.

The Fast Blazing Solution

Instead of tmux-256color, use screen-256color which comes with system. Place this command into ~/.tmux.conf or ~/.config/tmux/tmux.conf(for version 3.1 and later):

yetone

# pfreixes, 2012-07-27
# Add to /etc/bash_completion.d/supervisorctl
  
_supervisor()
{
    local cur prev opts base
    COMPREPLY=()
    cur="${COMP_WORDS[COMP_CWORD]}"
    prev="${COMP_WORDS[COMP_CWORD-1]}"

yetone

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

yetone

    function decodeBase62(number) {
        var alphabet = '0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'
        var out = 0
        var len = number.length - 1
        for (var t = 0; t <= len; t++) {
            out = out + alphabet.indexOf(number.substr(t, 1)) * Math.pow(62, len - t)
        }
        return out
    }

yetone

[MASTER]

# Specify a configuration file.
#rcfile=

# Python code to execute, usually for sys.path manipulation such as
# pygtk.require().
#init-hook=

# Profiled execution.

yetone

# Mathieu Blondel, September 2010
# License: BSD 3 clause

import numpy as np
from numpy import linalg
import cvxopt
import cvxopt.solvers

def linear_kernel(x1, x2):
    return np.dot(x1, x2)

yetone

# Mathieu Blondel, September 2010
# License: BSD 3 clause

import numpy as np
from numpy import linalg
import cvxopt
import cvxopt.solvers

def linear_kernel(x1, x2):
    return np.dot(x1, x2)

yetone

import json, sys, numpy as np
from scipy import misc, signal
from PIL import Image
infile, outfile, modelpath = sys.argv[1:]
model = json.load(open(modelpath))
im = Image.open(infile).convert("YCbCr")
im = misc.fromimage(im.resize((2*im.size[0], 2*im.size[1]), resample=Image.NEAREST)).astype("float32")
planes = [np.pad(im[:,:,0], len(model), "edge") / 255.0]
for step in model:
    o_planes = [sum([signal.convolve2d(ip, np.float32(kernel), "valid")

yetone

Sketch 43 files JSON types

Based on the example file from the announcement blog post http://sketchplugins.com/d/87-new-file-format-in-sketch-43

type UUID = string // with UUID v4 format

type SketchPositionString = string // '{0.5, 0.67135115527602085}'

type SketchNestedPositionString = string // '{{0, 0}, {75.5, 15}}'

yetone

# found this from Armin R. on Twitter, what a beautiful gem ;)

import ctypes
from types import DictProxyType, MethodType

# figure out side of _Py_ssize_t
if hasattr(ctypes.pythonapi, 'Py_InitModule4_64'):
    _Py_ssize_t = ctypes.c_int64
else:
    _Py_ssize_t = ctypes.c_int