semvec/pypi-packages huggingface dataset:
sszz 0.0.5
Tool to retrieve the a future commit that has refactored a given commit (simple SZZ).

# SSZZ
Simple SZZ

### Install

```
pip install sszz
```

### Usage:

```
python -m sszz.sszz --repo "/local/path/to/repo" --commit 270239a53ffdc00ece5a9a92f19880a1f50020d2
```

### Contact

Feel free to send me an email if you need help using the tool.
SAFIRshell 0.0.3
SAFIR shell

# SAFIRshell

SAFIRshell is a Python tool to support computations with the finite element solver SAFIR.

## Getting Started

### Prerequisites

[Safir 2016](https://www.uee.uliege.be/cms/c_2383458/en/safir);

[Python 3.6](https://www.anaconda.com/download/) or later; and

The following Python libraries:

```sh
numpy==1.15.0
pandas==0.23.3
scipy==1.1.0
```

### Installation

#### pip

pip is a package management system for installing and updating Python packages. pip comes with Python, so you get pip simply by installing Python. On Ubuntu and Fedora Linux, you can simply use your system package manager to install the `python3-pip` package. [The Hitchhiker's Guide to Python ](https://docs.python-guide.org/starting/installation/) provides some guidance on how to install Python on your system if it isn't already; you can also install Python directly from [python.org](https://www.python.org/getit/). You might want to [upgrade pip](https://pip.pypa.io/en/stable/installing/) before using it to install other programs.

SAFIRshell uses Python3. 

1.	If you are using Windows with Python version 3.3 or higher, use the [Python Launcher for Windows](https://docs.python.org/3/using/windows.html?highlight=shebang#python-launcher-for-windows) to use `pip` with Python version 3:
    ```sh
    pip install safirshell
    ```
2.	If your system has a `python3` command (standard on Unix-like systems), install with:
    ```sh
    python3 -m pip install safirshell
    ```
3.	You can also just use the `python` command directly, but this will use the _current_ version of Python in your environment:
    ```sh
    python -m pip install safirshell
    ```

### Usage

To run a single SAFIR calculation, use the following commands.

```sh
python -m SAFIRshell.shell
```

## Authors

* **Ruben Van Coile** - *ruben.vancoile@gmail.com*

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
bigQueryExporterEnhanced 1.0.8
Package codes to execute queries on BQ and save to local machine, to BQ table or to GCS.
Keywords: bigquery,local,export

# Credit
This repository is forked from
https://github.com/IcarusSO/bigQueryExporter

# Change Log (Compare with original version)
### query_to_local()
- Create a temp table with a random hash on BQ as output table, so that simultaneous execution of the function will not overwrite each other.
- Remove the temp table after the execution. (May also set keep_temp_table=True if you wish to keep them).

# bigQueryExporter
Export query data from google bigquery to local machine

#### Installation
    pip install bigQueryExporterEnhanced

#### Prepare for the connection
    from bigQueryExport import BigQueryExporter
    bigQueryExporter = BigQueryExporter(project_name, dataset_name, bucket_name)   

#### Query To Table
    bigQueryExporter.query_to_table(query, job_name, dataset_name)

#### Table To GS
    bigQueryExporter.table_to_gs(destination_table, job_name)

#### GS To Local
    bigQueryExporter.gs_to_local(bucket, job_name, data_dir_path)

#### Query To GS (Query to Table + Table to GS)
    bigQueryExporter.query_to_gs(query, job_name)

#### Query To Local (Query to Table + Table to GS + GS to Local)
    export_path = bigQueryExporter.query_to_local(query)

    # or with the options
    export_path = bigQueryExporter.query_to_local(query, 
                                                  job_name='simple_query', 
                                                  data_dir_path='out/',
                                                  keep_temp_table=False,
                                                  overwrite_output_folder=True)

#### Requirement
- Your server/ local machine should have the right to access the project
- Right should be granted following the insturction on [Google SDK](https://cloud.google.com/sdk/docs/)
- Execute the following command

    gcloud auth application-default login