semvec/pypi-packages huggingface dataset:
GetElevation 0.1
这是一个批量/单次查询经高程的模块
Requires Python: >=3

#基于Mapzen数据的批量/单次高程查询

数据源：https://www.mapzen.com/

数据接口：https://www.opentopodata.org/datasets/mapzen/

每次查询最多拼接100个请求，每天最多1000次


### 具体的调用方式见demo文件，后续会持续更新其他高精度自制高程数据模块
rawtypes 1.8.0
A code generator using libclang for a python extension.

# rawtypes

A code generator using libclang for a python extension or zig.

## parse

* struct / union / anonymous
* function pointer typedef
* function
  * mangling
  * pointer handling
  * const reference
  * default argument

* python generator
  * ctypes struct
  * add method to ctypes struct
  * pyi type annotation

* zig generator
  * method call
  * variadic argument

## clang.cindex

This library is use 'clang.cindex` from <https://raw.githubusercontent.com/llvm/llvm-project/llvmorg-13.0.0/clang/bindings/python/clang/>.
And placement in rawtypes.clang.

```py
from rawtypes.clang import cindex
```

## generated

* <https://github.com/ousttrue/pydear> is generated extension. Included [imgui](https://github.com/ocornut/imgui) and [picovg](https://github.com/ousttrue/picovg)
cvapianalyser 1.43.7
plugin tool for capturing API coverage with input of a SPEC file against API shark of CloudVector
Requires Python: >=3.2,<4.0

# CV-APIAnalyser

cvapianalyser is a Python library for analysing the api traffic captured by CloudVector's APIShark against an APISPEC for identifying the gap in API coverage mostly useful in a QA environment to understand the gap in test coverage. 

Visit https://www.cloudvector.com/api-shark-free-observability-security-monitoring-tool/#apishark

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install foobar.

```bash
pip install cvapianalyser
```

## Usage

```python 
cvapianalyser 

****************************************************************************************************
CloudVector CommunityEdition - Coverage analysis plugin
****************************************************************************************************

Enter CommunityEdition(CE) host in format <host>:<port> : x.x.x.x:y
Enter your CommunityEdition(CE) username : sandeep
CommunityEdition(CE) password:
Enter recording in CE to compare with : recording1
```

instead of giving inputs every single time you can also alternatively create a file called my_cesetup.yaml in the path from where you are running the tool

```yaml 
ce_host:
ce_username:
ce_recording:
input_apispec:
```
you can have multiple such my_cesetup.yaml for different CE setup or different recordings and run them from specific paths for its corresponding reports

## License
[MIT](https://choosealicense.com/licenses/mit/)
rxn-utilities 0.9.0
General utilities (not related to chemistry)
Requires Python: >= 3.6

# RXN utilities package

[![Actions tests](https://github.com/rxn4chemistry/rxn-utilities/actions/workflows/tests.yaml/badge.svg)](https://github.com/rxn4chemistry/rxn-utilities/actions)

This repository contains general Python utilities commonly used in the RXN universe.
For utilities related to chemistry, see our other repository [`rxn-chemutils`](https://github.com/rxn4chemistry/rxn-chemutils).

## TODO for open-sourcing

* GitHub actions
* Add CI badge
* Remove `.bumpversion.cfg`, `.whitesource`
* Rename to `rxn-utils` in `setup.cfg`

## System Requirements

This package is supported on all operating systems. 
It has been tested on the following systems:
+ macOS: Big Sur (11.1)
+ Linux: Ubuntu 18.04.4

A Python version of 3.6 or greater is recommended.

## Installation guide

The package can be installed from Pypi:
```bash
pip install rxn-utils
```

For local development, the package can be installed with:
```bash
pip install -e .[dev]
```
tf-cli 0.0.9
This contains a CLI for AWS terraform
Requires Python: >=3.7

# Terraform CLI: KISS Style

## Summary
This is the design and implementation of providing simple and reliable terraform (`tf`) commands for devs ops that build, commit and push `.tf` files. Terraform has hidden functionalities that devs may not be familar with. It shouldn't be the dev's responsibility to remember multiple commands every time they make a commit to terraform servers. That's why I decided to create a bash program orchestrated by python for devs to only remember a few commands.

```
Usage: tf [OPTIONS]

Options:
  -b, --build   Test and fmt .tf code.
  -c, --commit  Make commits to local repo.
  -p, --push    Push tf data to server.
  --clean       Clean unnecessary tf files.
  --help        Show this message and exit.
```  



## File Information
The main directory that requires attention is the __src/tf__ directory:

- __api_methods.py__ - This files provides the users to see incoming messages by creating a global logger variable.

- __cli_utils.py__ - Creates essential utilities for `cli.py` that performs the system commands of the program.

- __cli.py__ - Bootstrap function for `cli_utils.py`. This file mainly interacts with the user by running the command `tf` and providing them `[OPTIONS] -b -c -p` in a pretty interface. 


## How do I run the Program?

NOTE : This code has only been tested on the latest Ubuntu operating system. Run on macOS at your own risk, but this program is not operational in Windows.   

## Running on Virtual Env (venv)

NOTE: You must have python3 installed to run these
commands. Infomation about python can be found [here](https://www.python.org/about/).

Follow these instructions if you want to run the files using venv

```
./build.sh

# run venv 
source tf_env/bin/activate 

# use the program as intended
tf [OPTIONS]
```

### Cleaning Virtual Env (venv) & Dependencies
```
./clean.sh

# exit the virtual environment 
deactivate 
```

## Who do I talk to?

__Name__ - Rooklyn Kline<br>
__Email__ - rkline2@umbc.edu<br>
pykraken2 0.0.1
kraken2 server/client implementation in Python

pykraken2
=========

`pykraken2` provides a server/client implementation of [kraken2](https://github.com/DerrickWood/kraken2).

Installation
------------

> pykraken2 is pre-alpha software, there are currently no packaged versions.
> Please use the Development instructions before for installation and use.


**Development**

The Git repository contains Python code implementing a server and client pair,
it also contains a fork of kraken2 as a git submodule. To obtain the repository:

    git clone --recursive https://github.com/epi2me-labs/pykraken2.git

For the purposes of development the Python components of pykraken2 can be installed
using an in-place (editable) install:

    make develop

This will make a virtual environment at `./venv` and create and inplace
(editable) install of the Python code, along with compiling `kraken2` and
copying the executables to the `bin` directory of the virtual environment.


Usage
-----

Two command-line entry points are provided:

    pykraken2 server

to run a kraken2 service to classify reads, and

    pykraken2 client

to send read data to the service and receive results.

**API**

The server and client are straight-forward, we recommend the context managers
are used:

    # create a server
    from pykraken2.server import Server
    with Server(database, address, port, threads=8) as server:
        while True:
            pass

Although this code looks a little goofy, we intend to change the behaviour of
the context manager. `database` is a database directory created by kraken2,
`address` a location on which to listen for requests (e.g. `'localhost`),
`port` the network port on which to listen, and `threads` the number of threads
to kraken2 to use. An optional argument `k2_binary` can be used to specify the
location of a kraken2 binary to use.

A client can be constructed as:

    # create a client
    from pykraken2.client import Client
    with Client(address, ports) as client:
        with open('output.txt', 'w') as fh:
            for chunk in client.process_fastq(args.fastq):
                fh.write(chunk)

Currently the `process_fastq` iterator returns chunks of the kraken2 output.
The chunks are verbatim output: a chunk may contain multiple records, the last
record may be incomplete in any non-final chunk.