robotdad

This is a short outline of how to install the C++ workload with Visual Studio or the build tools using winget.

To find VS releases with winget use search. winget search buildtools

The install command will install the VS installer with the core of the selected product installed. That isn't much. So if you use either of these commands to insll VS or the build tools you will need to launch the VS installer afterwards and select the relevant C++ workloads you need.

winget install Microsoft.VisualStudio.2022.BuildTools

winget install Microsoft.VisualStudio.2022.Community

rajibdpi

These keys are for Office Professional Plus 2019

Version: Office19_RTM19_ProPlus2019VL_MAK_AE 

BN8D3-W2QKT-M7Q73-Y3JWK-KQC63   (Activation left: 5000+)
PNB29-Y9TKP-BJFD2-RBCXR-DJ4XQ   (Activation left: 1500+)

Download Link:  ed2k://|file|cn_office_professional_plus_2019_x86_x64_dvd_5e5be643.iso|3775004672|1E4FFA5240F21F60DC027F73F1C62FF4|/

or please download from trusted source!

florimondmanca

Usage

• Generate TLS certificates for localhost:

pip install trustme-cli
trustme-cli

• Run wrk on each endpoint, eg:

max-rocket-internet

CPU: percentage of limit

A lot of people land when trying to find out how to calculate CPU usage metric correctly in prometheus, myself included! So I'll post what I eventually ended up using as I think it's still a little difficult trying to tie together all the snippets of info here and elsewhere.

This is specific to k8s and containers that have CPU limits set.

To show CPU usage as a percentage of the limit given to the container, this is the Prometheus query we used to create nice graphs in Grafana:

sum(rate(container_cpu_usage_seconds_total{name!~".*prometheus.*", image!="", container_name!="POD"}[5m])) by (pod_name, container_name) /

karamanbk

mrchristine

##### READ SPARK DATAFRAME
df = spark.read.option("header", "true").option("inferSchema", "true").csv(fname)
# store the schema from the CSV w/ the header in the first file, and infer the types for the columns
df_schema = df.schema

##### SAVE JSON SCHEMA INTO S3 / BLOB STORAGE
# save the schema to load from the streaming job, which we will load during the next job 
dbutils.fs.rm("/home/mwc/airline_schema.json", True)

with open("/dbfs/home/mwc/airline_schema.json", "w") as f:

ed-alertedh

import tensorflow as tf


def validate_dataset(filenames, reader_opts=None):
    """
    Attempt to iterate over every record in the supplied iterable of TFRecord filenames
    :param filenames: iterable of filenames to read
    :param reader_opts: (optional) tf.python_io.TFRecordOptions to use when constructing the record iterator
    """
    i = 0

soulmachine

First of all, please note that token expiration and revoking are two different things.

1. Expiration only happens for web apps, not for native mobile apps, because native apps never expire.
2. Revoking only happens when (1) uses click the logout button on the website or native Apps;(2) users reset their passwords; (3) users revoke their tokens explicitly in the administration panel.

1. How to hadle JWT expiration

A JWT token that never expires is dangerous if the token is stolen then someone can always access the user's data.

Quoted from JWT RFC:

harshavardhana

How to configure static website using Nginx with MinIO ?

1. Install nginx

2. Install minio

3. Install mc client

4. Create a bucket:

$ mc mb myminio/static
Bucket created successfully ‘myminio/static’.

pylover

# Extracted using: $ unzip -p lib/pycharm.jar com/jetbrains/python/PyBundle.properties | grep -B1 INSP.NAME | grep '^#' | sed 's|Inspection||g' | sed -e 's|#\s\{,1\}|# noinspection |'

# noinspection PyPep8
# noinspection PyPep8Naming
# noinspection PyTypeChecker
# noinspection PyAbstractClass
# noinspection PyArgumentEqualDefault
# noinspection PyArgumentList
# noinspection PyAssignmentToLoopOrWithParameter
# noinspection PyAttributeOutsideInit