The Not Rocket Science Rule Of Software Engineering: automatically maintain a repository of code that always passes all the tests

technicalities: "not rocket science" (the story of monotone and bors)

https://graydon2.dreamwidth.org/1597.html : 

The Not Rocket Science Rule Of Software Engineering:

automatically maintain a repository of code that always passes all the tests

parse json in terraform

 https://www.reddit.com/r/Terraform/comments/c07dgc/using_external_jsons_as_data_source/

    data "http" "example" {
  url = "..."
}

locals {
  example_response = jsondecode(data.http.example.body)
}

From there you can manipulate that data structure as you need. If you want to produce a map of lists then probably your next step would be to use two nested for expressions. I’m just guessing what you want the values in those lists to look like, but here’s a starting point:

    locals {
  example_rules = {
    for k, m in local.example_response : k => [
      for k, v in m : {
        key   = k
        value = v
      }
    ]
  }
}

Quantum computing art (& fractals)

 

Visualizing Quantum Computing using fractals

https://github.com/wmazin/Visualizing-Quantum-Computing-using-fractals

Flexible Representation of Quantum Images (FRQI) and Novel Enhanced Quantum Representation (NEQR)

https://qiskit.org/

https://learn.qiskit.org/course/ch-applications/flexible-representation-of-quantum-images-frqi

Exhibition-ready quantum image processing

https://medium.com/qiskit/exhibition-ready-quantum-image-processing-4bb9fa8b52b5

Creating fractal art with qiskit

https://medium.com/qiskit/creating-fractal-art-with-qiskit-df69427026a0

Engineering levels

 

• -  Google levels:

  https://codingrelic.geekhold.com/2018/08/google-software-engineering-levels-and.ht

  ml

• -  Facebook levels:

  https://www.quora.com/Facebook-company/What-is-the-expectation-out-of-each-soft

  ware-engineering-level-at-Facebook

• -  Levels at various other companies: https://www.progression.fyi/

Service Level metrics

•  SLO : Service Level Objective

Common examples of metrics that can be associated with SLOs are disaster recovery time, application availability, live communication response time, first call resolution rate and application maintenance.

• SLI : Service Level Indicator

SLI = [ good event / valid event ] * 100%

request / response : Availability, Latency, Quality

Data Processing : Coverage, Correctness, Freshness, Throughput

• SLA : Service level agreements

usually external metrics (i.e. : end service KO time)

-- 

Appdex : scoring 0 to 1 for user satisfaction

-- source : 

- Blog covering AIOps custom automations inside the Cloud Pak for Watson AIOps -> https://developer.ibm.com/articles/supercharged-aiops-with-custom-automations/
- Blog covering Instana’s new remediation framework -> https://www.instana.com/blog/tech-preview-take-action-from-within-instana-using-our-action-framework/
- Demo of Instana’s new remediation framework’s integration with PagerDuty’s Process Automation -> https://www.youtube.com/watch?v=t441dhv7Vtw

And you can connect with Arthur on LinkedIn at: https://www.linkedin.com/in/ademagalhaes

(quantum computing) Examples of code for a "Bell state" : IBM quantum composer vs. OpenQASM vs. Qiskit

 

• https://quantum-computing.ibm.com/composer/files/new "Quantum Composer" IDE to build Q-progs : "Composer has a customizable set of tools that allow you to build, visualize, and run quantum circuits on quantum hardware or simulators".
• graphical editor for openQASM  or Qiskit formalisms

Examples of code generated in the step by step tutorial to create a "Bell state"

https://quantum-computing.ibm.com/composer/docs/iqx/example-circuits/bell

Same code, but different languages; done on the Quantum Composer ide following the initial step by step guide.

The Bell test demonstrates that measurements of an entangled state cannot be explained by any local hidden variable theory, and that there must be correlations that are beyond classical.

from: https://quantum-computing.ibm.com/composer/docs/iqx/example-circuits/bell

* Quantum Composer

* OpenQASM

OPENQASM 2.0;

include "qelib1.inc";

qreg q[2];

creg c[2];

h q[0];

cx q[0],q[1];

measure q[0] -> c[0];

measure q[1] -> c[1];

* Qiskit

from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit

from numpy import pi

qreg_q = QuantumRegister(2, 'q')

creg_c = ClassicalRegister(2, 'c')

circuit = QuantumCircuit(qreg_q, creg_c)

circuit.h(qreg_q[0])

circuit.cx(qreg_q[0], qreg_q[1])

circuit.measure(qreg_q[0], creg_c[0])

circuit.measure(qreg_q[1], creg_c[1])

Quantum computing resources

Quantum platforms, libraries, and learning platforms

Qiskit : open source lib

"Qiskit Machine Learning introduces fundamental computational building blocks - such as Quantum Kernels and Quantum Neural Networks - used in different applications, including classification and regression. On the one hand, this design is very easy to use and allows users to rapidly prototype a first model without deep quantum computing knowledge. On the other hand, Qiskit Machine Learning is very flexible, and users can easily extend it to support cutting-edge quantum machine learning research."

• https://qiskit.org/documentation/qc_intro.html quantum computing (QC) in a nutshell
• https://qiskit.org/documentation/machine-learning/ ML on QC 
• https://learn.qiskit.org/course/machine-learning/introduction 
• https://github.com/Qiskit/qiskit-machine-learning Github repo for Qiskit

DELF University quantum program

Long time research center on quantum computing. (sources < TPE 2001)

• https://qutech.nl 
• https://qutech.nl/research-engineering/quantum-computing/  (qu-algo & qu-prog)
• https://qutech.nl/research-engineering/quantum-internet/ (qu-network)
• https://qutech.nl/research-engineering/qubit-research/ (qu-infra)
• https://qutechacademy.nl/online-learning/online-courses/  Massive Online Open Courses (MOOC).

Community

community focused on quantum machine learning

• https://www.pennylane.ai/qml/   QML Quantum machine learning

IBM

• https://quantum-computing.ibm.com/ "IBM offers cloud access to the most advanced quantum computers available. Learn, develop, and run programs with our quantum applications and systems.
• https://quantum-computing.ibm.com/docs/
• https://quantum-computing.ibm.com/composer/files/new "Quantum Composer" IDE to build Q-progs : "Composer has a customizable set of tools that allow you to build, visualize, and run quantum circuits on quantum hardware or simulators".
• graphical editor for openQASM or Qiskit formalisms

source : 

• meetup  Technical Group by IBM, 
• 03 Nov 2022 https://www.meetup.com/technical-group-hosted-by-ibm/events/287144510/ 
• Sean Wagner, IBM Quantum Technical Ambassador

docker : list containers in a specific network

 

List containers in a precise 

$ docker network ls
NETWORK ID     NAME                               DRIVER    SCOPE
f732a9b3c5a1   bridge                             bridge    local
7ec614323767   host                               host      local
...

docker network inspect     -f '{{ range $key, $value := .Containers }}{{printf "%s: %s\n" $key .Name}}{{ end }}' <NETWORK NAME>
<ID> <Name>

common regexp

 https://owasp.org/www-community/OWASP_Validation_Regex_Repository

common regexp use-cases

Generating a cookie secret

Generating a cookie secret 

required step for a lot of web-based use-case when a cookie must be stored on the client side, for example with oauth2-proxy to set-up remote authentication.

• docker / python 

docker run -ti --rm python:3-alpine python -c 'import secrets,base64; print(base64.b64encode(base64.b64encode(secrets.token_bytes(16))));'

Followings solutions are from : https://oauth2-proxy.github.io/oauth2-proxy/docs/configuration/overview (v7.2.x)

• Python

python -c 'import os,base64; print(base64.urlsafe_b64encode(os.urandom(32)).decode())'

• Bash

dd if=/dev/urandom bs=32 count=1 2>/dev/null | base64 | tr -d -- '\n' | tr -- '+/' '-_'; echo

• Open SSL

openssl rand -base64 32 | tr -- '+/' '-_'

• PowerShell

# Add System.Web assembly to session, just in case
Add-Type -AssemblyName System.Web
[Convert]::ToBase64String([System.Text.Encoding]::UTF8.GetBytes([System.Web.Security.Membership]::GeneratePassword(32,4))).Replace("+","-").Replace("/","_")

• Terraform

# Valid 32 Byte Base64 URL encoding set that will decode to 24 []byte AES-192 secret
resource "random_password" "cookie_secret" {
  length           = 32
  override_special = "-_"
}