semvec/pypi-packages huggingface dataset:
c12simulator-clients 0.0.6
Different clients for access to the C12 simulator
License: MIT
Requires Python: >=3.7
Keywords: qiskit quantum c12 simulator

# c12simulator-clients

`c12simulator-clients` is a Python package with a tools that enables a user to communicate with the 
C12's remote simulator whose purpose
is to simulate the operations on the real C12 quantum computer. 

C12’s quantum computer is based on optimized
spin qubits. The spin qubit is realized from electrons trapped in a double quantum dot suspended on carbon 
nano tubes (CNTs) embedded in a silicon nano circuit and microwave cavity. C12’s spin qubits have 
high fidelity, scalability and connectivity because of the properties of the materials used to build the basics 
elements of the C12 system.

## Installing

#### From the Test PyPI repository

Run the following command inside your local python environment:

`pip install -i https://test.pypi.org/simple/ c12simulator-clients`

#### From the PyPI repository

Run the following command inside your local python environment:

`pip install c12simulator-clients`

#### From the GitHub package
In order to run the package the best policy is to create the conda environment where
all the necessary packages will be installed. To do that, we need to have conda installed (if that
is not the case see <a href="https://conda.io/projects/conda/en/latest/user-guide/install/index.html#regular-installation">conda installation</a>).
<ol>
<li> Clone the GitHub repository into local folder:

`git clone https://github.com/c12qe/c12simulator-clients.git`

</li>

<li> Create the conda environment with the command:

`conda env create -f environment.yml`
</li>
<li> Then activate the conda environment with:

`conda activate c12simulator-clients`
</li>
<li> And finally install the dependencies with 

`poetry install`
</li>
</ol>


## Usage

<ol>

<li> <b> <u>From the command line:</u></b> </li>


The application will run a circuit given in Open QASM format. In order to do that a user has to have its
token (given by the administrator or ??? ). All this parameters can be given as a command line arguments:

`python3 main.py --qasmfile {{PATH_TO_FILE_WITH_QASM_STR}} --token {{USER_AUTH_TOKEN}}`

Additional argument `--verbose` can be added in order to see the more detailed output.

Detailed information of the command structure can be obtained using command `python3 main.py --help`


<li> <b> <u>From the installed package:</u></b> </li>

Jupyter notebooks are given on the link: <a href="https://github.com/c12qe/c12simulator-clients/docs/">notebooks</a>

</ol>
StrongPasswordGenerator 0.1.2
Generates a strong password
License: MIT

Description
===========
strongPasswordGenerator can be used as a command line utility to generate passwords or as a python module.

You determine the complexity of the password, and the password is considered randomly as safe as in your trust to os.urandom().
https://docs.python.org/3/library/os.html#os.urandom.

Installation
============
pip install StrongPasswordGenerator

Usage
=====

If no options are specified:
* Password length : 15
* Pattern : !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[]^_`abcdefghijklmnopqrstuvwxyz{|}

usage: strongPasswordGenerator [options]

Preset patterns to be used with -x flag:
1. [a-zA-Z0-9] - abcDEF789
2. [a-f0-9] - Hexadecimal
3. [\.\-] - Morse

```
optional arguments:
-h, --help    show this help message and exit
-x PATTERN    Specifies pattern preset, overrides whitelist
-w WHITELIST  Regex pattern for allowed characters
-b BLACKLIST  Regex pattern for disallowed characters
-v            Verbose mode
-q            Avoid similar characters (1iIl0oO'´\`\|.,), overrides blacklist
-c LENGTH     Password length
```