semvec/pypi-packages huggingface dataset:
revenue 0.1.0
documentation framework that serves all '.r.html' that are found in the cwd.



<h1>revenue</h1>
<p>online academy building resources</p>

<code>
	[tcsh] pip install revenue
</code>


Started from the shell, 
"revenue" presents files in the 
current working directory (cwd) 
that have extension "r.html".

<code>
	[tcsh] revenue
</code>


<code>
	<pre>
		<h1>This is an example html file.</h1>
		<p>It really only needs the "pre" tag to look like a reflection of its contents in a browser.</p>
		<p>Tags like "html" and "body" are actually not necessary for rendering HTML in modern browsers.</p>
	
		<p>for text to wrap, instead of extending off the page, style "white-space: pre-wrap" can be utilized.</p>
	</pre>
</code>
instagram-bucketizer 0.1.0
Small project to assist in research, categorizing instagram emoji usage
Requires Python: >=3.8

<!--
    =====================================
    generator=datazen
    version=3.1.4
    hash=433bf8944d18413ea24ab46e37345bd2
    =====================================
-->

# instagram-bucketizer ([0.1.0](https://pypi.org/project/instagram-bucketizer/))

[![python](https://img.shields.io/pypi/pyversions/instagram-bucketizer.svg)](https://pypi.org/project/instagram-bucketizer/)
![Build Status](https://github.com/dylanfromm/instagram-bucketizer/workflows/Python%20Package/badge.svg)
[![codecov](https://codecov.io/gh/dylanfromm/instagram-bucketizer/branch/master/graphs/badge.svg?branch=master)](https://codecov.io/github/dylanfromm/instagram-bucketizer)
![PyPI - Status](https://img.shields.io/pypi/status/instagram-bucketizer)
![Dependents (via libraries.io)](https://img.shields.io/librariesio/dependents/pypi/instagram-bucketizer)

*Small project to assist in research, categorizing instagram emoji usage*

## Documentation

### Generated

* By [sphinx-apidoc](https://dylanfromm.github.io/python/sphinx/instagram-bucketizer)
(What's [`sphinx-apidoc`](https://www.sphinx-doc.org/en/master/man/sphinx-apidoc.html)?)
* By [pydoc](https://dylanfromm.github.io/python/pydoc/instagram_bucketizer.html)
(What's [`pydoc`](https://docs.python.org/3/library/pydoc.html)?)

## Python Version Support

This package is tested with the following Python minor versions:

* [`python3.8`](https://docs.python.org/3.8/)
* [`python3.9`](https://docs.python.org/3.9/)
* [`python3.10`](https://docs.python.org/3.10/)
* [`python3.11`](https://docs.python.org/3.11/)

## Platform Support

This package is tested on the following platforms:

* `ubuntu-latest`
* `macos-latest`
* `windows-latest`

# Introduction

# Command-line Options

```
$ ./venv3.11/bin/instagram-bucketizer -h

usage: instagram-bucketizer [-h] [--version] [-v] [-q] [--curses]
                            [--no-uvloop] [-C DIR]
                            {bucketize,parse_post,setup_session,noop} ...

Small project to assist in research, categorizing instagram emoji usage

options:
  -h, --help            show this help message and exit
  --version             show program's version number and exit
  -v, --verbose         set to increase logging verbosity
  -q, --quiet           set to reduce output
  --curses              whether or not to use curses.wrapper when starting
  --no-uvloop           whether or not to disable uvloop as event loop driver
  -C DIR, --dir DIR     execute from a specific directory

commands:
  {bucketize,parse_post,setup_session,noop}
                        set of available commands
    bucketize           bucketize comments
    parse_post          parse a given post short code
    setup_session       Used firefox cookies to setup session file
    noop                command stub (does nothing)

```

# Internal Dependency Graph

A coarse view of the internal structure and scale of
`instagram-bucketizer`'s source.
Generated using [pydeps](https://github.com/thebjorn/pydeps) (via
`mk python-deps`).

![instagram-bucketizer's Dependency Graph](im/pydeps.svg)
azcam-testers 23.0
Image sensor acquisition and analysis test suite.
Keywords: ccd,imaging,astronomy,sensors

# AzCam Testers

*azcam-testers* is a suite for the acquition and analysis of image sensor data for sensor characterization.

## Documentation

See https://azcam.readthedocs.io/.

## Installation

`pip install azcam-testers`

Or download the latest version from from github: https://github.com/mplesser/azcam-testers.git.

# Testers

The **tester** tools are for image sensor characterization and are available when this package is installed.

Usage Example:
 
```
from azcam_testers.tools.bias import bias
bias.acquire()
bias.analyze()
```

### Tester Base

[Testers base class](/code/azcam/tools/testers/testers.html)

### Detector Characterization Base

[DetChar base class](/code/azcam/tools/testers/detchar.html)

### Bias Images

[Bias class](/code/azcam/tools/testers/bias.html)

### Dark Signal

[Dark class](/code/azcam/tools/testers/dark.html)

### Defects

[Defects class](/code/azcam/tools/testers/defects.html)

### Detector Calibration

[DetCal class](/code/azcam/tools/testers/detcal.html)

### Extended Pixel Edge Response Charge Transfer Efficiency

[Eper class](/code/azcam/tools/testers/eper.html)

### Fe55 X-Ray Gain, Noise, and Charge Transfer Efficiency

[Fe55 class](/code/azcam/tools/testers/fe55.html)

### Gain

[Gain class](/code/azcam/tools/testers/gain.html)

### Linearity

[Linearity class](/code/azcam/tools/testers/linearity.html)

### Metrology

[Metrology class](/code/azcam/tools/testers/metrology.html)

### Pocket Pumping

[PocketPump class](/code/azcam/tools/testers/pocketpump.html)

### Photo-Response Non-Uniformity

[PRNU class](/code/azcam/tools/testers/prnu.html)

### Photon Transfer Curve

[PTC class](/code/azcam/tools/testers/ptc.html)

### Quantum Efficiency

[QE class](/code/azcam/tools/testers/qe.html)

### Ramp Images

[Ramp class](/code/azcam/tools/testers/ramp.html)

### Superflat Images

[Superflat class](/code/azcam/tools/testers/superflat.html)

## Report Commands

The report tool is helpful when generating reports. 

Usage Example:

```
from azcam.tools.report import Report
report=Report()
report.make_rstfile("rstfile.rst")
```
dice-simulator 0.0.1
A dice simulator
Requires Python: >=3.7

This is a simulator to simulate dice.

First,import my model.

```apache
from dice-simulator import Dice
```

To roll dice,using code here.

```apache
die=Dice(6)
die.roll()#returns a random number between 1 and 6
```

To show what number could you get,use `allSide()`.

```apache
die.allSide()#returns [1,2,3,4,5,6]
```

To count how many times each side is thrown when throwing the dice,use `count(times)`.

```apache
die.count(100)#returns example [11, 15, 10, 22, 14, 7]
```