semvec/pypi-packages huggingface dataset:
dbabget 0.101
An awesome package that does something
License: MIT

# 豆瓣相册下载器**D**ou**b**an**A**l**b**um\_**Get** (dbabget)

运行 `dbabget album_id -n album_name` 可以下载相册中的图片

```
$ dbabget -h
usage: 豆瓣相册下载器 [-h] [-n ALBUM_NAME] album_id

positional arguments:
  album_id       要下载的豆瓣相册ID(例如: 1639309626)

optional arguments:
  -h, --help     show this help message and exit
  -n ALBUM_NAME  相册名称
```
base256 1.0.1
When base64 just isn't enough
License: MIT
Requires Python: >=3.0

# base256

When base64 just isn't enough

## Installation

### From PyPI

```sh
pip3 install base256
```

### From GitHub

```sh
pip3 install git+https://github.com/donno2048/base256
```

## Usage

Please only use even-length hexadecimal values.

### In Python

```py
from os import remove
from base256 import encode, decode, encode_hex, decode_hex, encode_file, decode_file, encode_string, decode_string
print(encode('123456789abcdef0'))
print(decode('ĒĴŖŸƚƼǞǰ'))
print(encode_hex(0x123456789abcdef0))
print(decode_hex('ĒĴŖŸƚƼǞǰ'))
print(hex(decode_hex('ĒĴŖŸƚƼǞǰ')))
print(encode_file('README.md'))
print(decode_file('ģĠŢšųťĲĵĶĊĊŗŨťŮĠŢšųťĶĴĠŪŵųŴĠũųŮħŴĠťŮůŵŧŨĊĊģģĠŉŮųŴšŬŬšŴũůŮĊĊģģģĠņŲůŭĠŐŹŐŉĊĊŠŠŠųŨĊŰũŰĳĠũŮųŴšŬŬĠŢšųťĲĵĶĊŠŠŠĊĊģģģĠņŲůŭĠŇũŴňŵŢĊĊŠŠŠųŨĊŰũŰĳĠũŮųŴšŬŬĠŧũŴīŨŴŴŰųĺįįŧũŴŨŵŢĮţůŭįŤůŮŮůĲİĴĸįŢšųťĲĵĶĊŠŠŠĊĊģģĠŕųšŧťĊĊŐŬťšųťĠůŮŬŹĠŵųťĠťŶťŮĭŬťŮŧŴŨĠŨťŸšŤťţũŭšŬĠŶšŬŵťųĮĊĊģģģĠŉŮĠŐŹŴŨůŮĊĊŠŠŠŰŹĊŦŲůŭĠůųĠũŭŰůŲŴĠŲťŭůŶťĊŦŲůŭĠŢšųťĲĵĶĠũŭŰůŲŴĠťŮţůŤťĬĠŤťţůŤťĬĠťŮţůŤťşŨťŸĬĠŤťţůŤťşŨťŸĬĠťŮţůŤťşŦũŬťĬĠŤťţůŤťşŦũŬťĬĠťŮţůŤťşųŴŲũŮŧĬĠŤťţůŤťşųŴŲũŮŧĊŰŲũŮŴĨťŮţůŤťĨħıĲĳĴĵĶķĸĹšŢţŤťŦİħĩĩĊŰŲũŮŴĨŤťţůŤťĨħǄƒǄƴǅƖǅƸǆƚǆƼǇƞǄƏħĩĩĊŰŲũŮŴĨťŮţůŤťşŨťŸĨİŸıĲĳĴĵĶķĸĹšŢţŤťŦİĩĩĊŰŲũŮŴĨŤťţůŤťşŨťŸĨĩĩĊŰŲũŮŴĨťŮţůŤťşŦũŬťĨħŒŅŁńōŅĮŭŤħĩĩĊŰŲũŮŴĨŤťţůŤťşŦũŬťĨĬĠħŴťŭŰħĩĩĊŲťŭůŶťĨħŴťŭŰħĩĊŰŲũŮŴĨťŮţůŤťşųŴŲũŮŧĨħňťŬŬůĬĠŷůŲŬŤġħĩĩĊŰŲũŮŴĨŤťţůŤťşųŴŲũŮŧĨħħĩĩĊŠŠŠĊĊģģģĠŉŮĠŴŨťĠţůŭŭšŮŤĠŬũŮťĊĊŠŠŠųŨĊŢšųťĲĵĶĊŠŠŠĊ', 'temp'))
remove('temp')
print(encode_string('Hello, world!'))
print(decode_string('ňťŬŬůĬĠŷůŲŬŤġ'))
```

### In the command line

```sh
base256
```
nitdms 2.0.7
A pythonic reader for TDMS files generated by LabVIEW
License: MIT

[![Build Status](https://dev.azure.com/l-johnston/nitdms/_apis/build/status/l-johnston.nitdms?branchName=master)](https://img.shields.io/azure-devops/build/l-johnston/nitdms/14) ![Azure DevOps coverage](https://img.shields.io/azure-devops/coverage/l-johnston/nitdms/14) ![PyPI version](https://img.shields.io/pypi/v/nitdms)
# `nitdms` - A pythonic TDMS file reader

The main export from the `nitdms` package is the TdmsFile class. Upon instantiation,
the reader loads the file into memory and discovers all of the file, group and channel
objects and respective properties. These objects and properties are dynamically 
instantiated as attributes allowing easy access from within an interactive session
with tab completion such as Jupyter or bash.

Channel data is returned as a numpy ndarray, or WaveformDT if data in the file is from
LabVIEW's waveform data type. WaveformDT is a subclass of ndarray that mimics
the waveform data type.
LabVIEW's timestamp is stored as UTC in the TDMS file. `nitdms` returns the timestamp
in the machine's local time zone consistent with LabVIEW and aligns with WaveformDT.

## Installing
```bash
$ pip install nitdms
```

## Usage
Within an interactive session with tab completion:
```python
>>> from nitdms import TdmsFile
>>> tf = TdmsFile(<file>)
>>> data = tf.<group>.<channel>.data
>>> t0 = tf.<group>.<channel>.wf_start_time
>>> dt = tf.<group>.<channel>.wf_increment
>>> group_property = tf.<group>.<property>
```

## Documentation
https://l-johnston.github.io/nitdms/