These examples demonstrate how to use nginx-auth-jwt to validate tokens from your favorite auth service (e.g. Azure AD, Azure Entra and firends). As recommended, this validates the Audience (aud), Issuer (iss) Scope (scp) and Tenant Id (tid), and nginx-auth-jwt takes care of validating the signature and timestamps (nbf and exp)
The nginx-auth-jwt nginx container can be build like so:
git clone https://github.com/kjdev/nginx-auth-jwt.git
| FROM debian | |
| RUN apt-get update \ | |
| && apt-get install -y nginx nginx-extras | |
| COPY ./index.html /www/data/index.html | |
| COPY ./nginx.conf /etc/nginx/nginx.conf | |
| CMD ["nginx", "-g", "daemon off;"] |
This guide provides a brief introduction to administering Microsoft 365 using
the m365 CLI targeted at new PowerShell users. Many Microsoft 365 administrative tasks can be easily automated with
PowerShell and the Microsoft 365 command line
interface (cli), such as creating and deleting user
accounts, granting and revoking licenses and many others!
The m365 CLI for Microsoft 365 is a Microsoft 365 Platform Community (PnP)
project. Microsoft 365 Platform Community is a virtual team consisting of
| # -------------------------------------------------- | |
| # Configuration | |
| # -------------------------------------------------- | |
| # names of the app service or funciton app details | |
| app_grp=myAppResourceGroup | |
| app_name=MyAppServiceOrFunctionApp | |
| # key vault details | |
| valut_grp=MyKevaultResourceGroup |
| /* An example app that uses expo-auth-session to connect to Azure AD (or hopefully most providers) | |
| Features: | |
| - secure cache with refresh on load | |
| - securely stored refresh token using expo-secure-store | |
| - uses zustand for global access to the token / logout | |
| Based on [this gist](https://gist.github.com/thedewpoint/181281f8cbec10378ecd4bb65c0ae131) | |
| */ |
Given a 1xN (row) vector and a MxN matrix, the code below calculates the manhattan distance between the row vector and each row in the matrix. It uses Numba for significant speadup.
Currenlty I'm using this to calculate distances between a 1 x 60K row vector and a 64k x 60x matrix (with about 500k non-empty values) in ~ 10ms on a single processor
FetchXML seems to be a quirky subset of the SQL implemented in XML and optimized for UI tasks, including:
foo, b.bar) or all fields (*) from an entityLEFT OUTER and INNER joinsselect a.b as foo) and (joined) entities (left join foo as BAR)
Least Recently Used Caching can fail when usage frequency is correlated with object size. For example an address database sharded by City and State would likely have increased activity in the largest shards. The cache may initially contains a random subset of cities (e.g. due to an automated process that runs through cities alphabetically) but can eventually become populated by just the largetst shards due to organic traffic (i.e. user based web traffic).
This code is inspired by this gist
| import msvcrt | |
| # Binary codes for escape and control+C | |
| ESCAPE = b'\x1b' | |
| COTNROL_C = b'\x03' | |
| RGB = [0,0,0] | |
| while True: |