kforney/hyfetch
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Merge branch 'master' of https://github.com/hykilpikonna/neofetch

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Azalea (on HyDEV-Daisy) 2022-07-29 09:55:11 -04:00
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14
README.md
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@ -19,21 +19,13 @@ pip install hyfetch
Currently, these distributions have existing packages for HyFetch: Currently, these distributions have existing packages for HyFetch:
* ArchLinux: `yay -S hyfetch` (Thanks to @ Aleksana) * ArchLinux: `yay -S hyfetch` (Thanks to @ Aleksana)
* Nix (Nixpkgs): `nix-env -i hyfetch` ([In Progress](https://github.com/NixOS/nixpkgs/pull/170309)) * Nix (Nixpkgs): `nix-env -i hyfetch` ([In Progress](https://github.com/NixOS/nixpkgs/pull/170309))
* Nix (NUR): ([In Progress](https://github.com/nix-community/NUR/pull/467)) * Nix ([NUR](nur.nix-community.org)): Install package `nur.repos.YisuiMilena.hyfetch`. (Thanks to @ YisuiDenghua)
* Guix: `guix install hyfetch` (Thanks to @ WammKD) * Guix: `guix install hyfetch` (Thanks to @ WammKD)
Currently, if you're using Nix the package manager or NixOS, you can use HyFetch with `nix-env -if https://github.com/hykilpikonna/hyfetch/tarball/master -A hyfetch` Currently, if you're using Nix the package manager or NixOS, you can use HyFetch with `nix-env -if https://github.com/hykilpikonna/hyfetch/tarball/master -A hyfetch`
> Now `hyfetch` is available in our NixOS-CN's flake. You can add [NixOS-CN](https://github.com/nixos-cn/flakes) in your [Nix Flake](https://nixos.org/manual/nix/unstable/command-ref/new-cli/nix3-flake.html) at first, then install package `hyfetch`. > `hyfetch` is also available in our NixOS-CN's flake. You can add [NixOS-CN](https://github.com/nixos-cn/flakes) in your [Nix Flake](https://nixos.org/manual/nix/unstable/command-ref/new-cli/nix3-flake.html) at first, then install package `hyfetch`. (Thanks to @ YisuiDenghua and @ linyinfeng )
> ```
> #flake.nix
>
> environment.systemPackages =
> [ nixos-cn.legacyPackages.${system}.hyfetch ];
>
> ```
> (Thanks to @ YisuiDenghua and @ linyinfeng )
## Usage ## Usage

71
hyfetch/color_scale_numpy.py
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@ -1,71 +0,0 @@
from __future__ import annotations
import numpy as np
from numpy import ndarray
from .color_util import RGB
def create_gradient_hex(colors: list[str], resolution: int = 300) -> ndarray:
"""
Create gradient array from hex
"""
colors = np.array([RGB.from_hex(s) for s in colors])
return create_gradient(colors, resolution)
def create_gradient(colors: ndarray, resolution: int) -> ndarray:
"""
Create gradient 2d array.
Usage: arr[ratio / len(arr), :] = Scaled gradient color at that point
"""
result = np.zeros((resolution * (len(colors) - 1), 3), dtype='uint8')
# Create gradient mapping
for i in range(len(colors) - 1):
c1 = colors[i, :]
c2 = colors[i + 1, :]
bi = i * resolution
for r in range(resolution):
ratio = r / resolution
result[bi + r, :] = c2 * ratio + c1 * (1 - ratio)
return result
def get_raw(gradient: ndarray, ratio: float) -> ndarray:
"""
:param gradient: Gradient array (2d)
:param ratio: Between 0-1
:return: RGB subarray (1d, has 3 values)
"""
if ratio == 1:
return gradient[-1, :]
i = int(ratio * len(gradient))
return gradient[i, :]
class Scale:
colors: ndarray
rgb: ndarray
def __init__(self, scale: list[str], resolution: int = 300):
self.colors = np.array([RGB.from_hex(s) for s in scale])
self.rgb = create_gradient(self.colors, resolution)
def __call__(self, ratio: float) -> RGB:
"""
:param ratio: Between 0-1
"""
return RGB(*get_raw(self.rgb, ratio))
def test_color_scale():
scale = Scale(['#232323', '#4F1879', '#B43A78', '#F98766', '#FCFAC0'])
colors = 100
for i in range(colors + 1):
print(scale(i / colors).to_ansi_rgb(False), end=' ')