https://www.nerdfonts.com/font-downloads
The following solution thanks to @hackerzgz & @snacky101 will install all nerd fonts;
brew tap homebrew/cask-fonts
brew search '/font-.*-nerd-font/' | awk '{ print $1 }' | xargs -I{} brew install --cask {} || true
| // ***************************************************************************************** | |
| // ***************************************************************************************** | |
| // ***************************************************************************************** | |
| // ****************************************PC SA Main Script******************************** | |
| // ***************************************************************************************** | |
| // ***************************************************************************************** | |
| // ***************************************************************************************** | |
| SCRIPT_NAME MAIN //NEW MAIN |
| Ошибка: | |
| .\venv\Scripts\activate : Невозможно загрузить файл C:\path\venv\Scripts\activate.ps1, так как выполнение сценариев отключено в этой системе. | |
| Для получения дополнительных сведений см. about_Execution_Policies по адресу http://go.microsoft.com/fwlink/?LinkID=135170. | |
| строка:1 знак:1 | |
| .\venv\Scripts\activate | |
| ~~~~~~~~~~~~~~~~~~~~~~~ | |
| CategoryInfo : Ошибка безопасности: (:) [], PSSecurityException | |
| FullyQualifiedErrorId : UnauthorizedAccess | |
| Решение проблемы: |
| #!/usr/bin/env bash | |
| set -ex | |
| export TEST_CLUSTER_NAME=quick-test | |
| export CERT_MANAGER_VERSION=v1.3.1 | |
| export KIND_IMAGE=kindest/node:v1.20.2 | |
| # Create test cluster | |
| echo "Creating test cluster..." | |
| kind create cluster --name="$TEST_CLUSTER_NAME" --image="$KIND_IMAGE" | |
| until kubectl --timeout=120s wait --for=condition=Ready pods --all --namespace kube-system; do sleep 1; done |
| Service | SSL | status | Response Type | Allowed methods | Allowed headers |
|---|
| """ | |
| This Python script provides a utility to compute the cosine similarity between two text sentences using the TF-IDF | |
| (Term Frequency-Inverse Document Frequency) vectorization approach. | |
| Key Components: | |
| 1. Import Statements: The script begins by importing necessary modules: | |
| - TfidfVectorizer from sklearn.feature_extraction.text for converting text data into a matrix of TF-IDF features. | |
| - cosine_similarity from sklearn.metrics.pairwise to compute the similarity between two vectors in the TF-IDF space. | |
| - sys for accessing command-line arguments. |
| #!/bin/sh | |
| # References | |
| # https://www.pythonguis.com/tutorials/packaging-pyqt5-applications-pyinstaller-macos-dmg/ | |
| # https://medium.com/@jackhuang.wz/in-just-two-steps-you-can-turn-a-python-script-into-a-macos-application-installer-6e21bce2ee71 | |
| # --------------------------------------- | |
| # Clean up previous builds | |
| # --------------------------------------- |
