semvec/pypi-packages huggingface dataset:
pyshell-pybc2 0.4.0
This Package contains the commands of UNIX shell

# This project implements the Command Line Interface like UNIX-shell

This project includes the following commands:


## Directory commands:

- **ls** (with support for -R)

  Lists the files and directories in the current directory

  -R lists the files and directories recursively

- **pwd**

  Returns the present working directory

- **mkdir**

  Creates a new directory

- **rmdir**

  Removes the directory if it is empty

- **cd**

  Changes the current directory to the directory mentioned in the argument


## File Commands:

- **grep**

  To find matching patterns

- **find**

  Finds the given file in the given path

- **cat**

  Used to display the contents of the given file. With '>' can be used to create and write into a new file

- **cp**

  Copy contents from source to destination

- **mv**

  Move contents from source to destionation

- **rm** (with support for -r)

  Remove the file or directory with a confirmation to remove non empty items. 

  -r Removes recursively

- **sizeof**

  Returns the size of the file in the arguments

- **head**

  -n for the number of lines it has to print since the beginning of file

  Default is 10

- **tail**

  -n for the last n number of lines to print from the file

  Default is 10


## Miscellaneous commands:

- **date**

  Returns the current date and time

- **whoami**

  Returns current user name

- **hostname**

  Returns current host name

- **timeit**

  Returns the time taken to run the command given

- **exit**

  Exit from the shell

- **history**

  Shows the history of commands executed so far

  # Installing the package

  To install and use, run the following command from your command line

  > pip install pyshell-pybc2
datax 0.0.3
DataXplorer
Requires Python: >= 3.7
Keywords: data search query

[![Build Status](https://travis-ci.org/Frechetta/DataXplorer.svg?branch=master)](https://travis-ci.org/Frechetta/DataXplorer) [![codecov](https://codecov.io/gh/Frechetta/DataXplorer/branch/master/graph/badge.svg)](https://codecov.io/gh/Frechetta/DataXplorer)

# DataXplorer

Requires Python 3.7

Install with `pip install datax`, then run with `dx [OPTIONS] [FILES]...`.

Options:
```
  -v, --verbose      Print verbose messages.
  -i, --interactive  Enter into an interactive loop to query data.
  -q, --query TEXT   The query string.
  --help             Show this message and exit.
```

Example:

`dx -q "search n>5" file.txt`

where `file.txt` looks like

```
{"event": 1, "n": "2", "ip": 7, "type": "geoip"}
{"event": 2, "n": "6", "ip": 10, "type": "geoip"}
{"event": 3, "n": "8", "ip": 15, "type": "geoip"}
```

`-q TEXT` is not required if using interactive mode (`-i`). When in interactive mode, you will enter an input loop, allowing you to repeatedly query data without having to execute the command again. This is faster because the data is kept in memory and doesn't have to be loaded from disk each query. Type `exit`, `quit`, or enter `CTRL+C` to quit. Type `search <query-string>` to search the data. If the `-q` and `-i` options are used together, the query will be executed, results will be printed, then you will enter into an input loop.

DataXplorer also accepts data from a pipe. Example: `cat file.txt | dx -q "search n>5"`.

DataXplorer uses [DXQL](https://github.com/Frechetta/DXQL) to search through the data. See the DXQL readme to learn how to search.
girder-monkeybrains 1.0.5
Displays monkey neurodevelopmental data.

monkeybrains
============

monkeybrains is a third-party, i.e. non-core, -plugin for Girder.

It has the following goals

  * demonstrate dataset visualization capabilities in Girder
  * target a specific Collection in Girder
  * live on a public Girder instance without intruding on other Collections

## Usage

Enable monkeybrains as a Girder plugin, then activate a specific Collection with the monkeybrains api call on a Collection, which you can do from Swagger.  This is intentionally hidden so that other Collections won't accidentally enable the functionality for them.

    PUT
    http://localhost:8082/api/v1/collection/550701fd0640fd09bf7d6f51/monkeybrains?monkeybrains=true

Once the `monkeybrains` property is added to your Collection, when you edit the collection, a new component will appear below `Description` allowing you to add a Markdown Info Page on your Collection.  This Info Page will be rendered as Markdown at the top of your Collection page within Girder, although any inline HTML in the Markup is sanitized.

A chart is also displayed on your Collection, showing a visualization of a longitudinal dataset.  This relies on an API call in the monkeybrains plugin called `getDatasetEvents`, which looks for Folders in the targeted Collection with a metadata key of `scan_date`, and returns the following set of metadata on those folders

  * _id
  * baseParentId
  * parentId
  * meta.folder_type
  * meta.scan_age
  * meta.sex
  * meta.scan_date
  * meta.subject_id
  * meta.dob
  * meta.scan_weight_kg

This metadata is used to create the longitudinal display and allow mouse click events on certain parts of the display to navigate to related Girder folders.

## Publishing

To publish a new version of this plugin:
* Increment the version in `setup.py`
* Run `tox -e release`
* Commit changes