معرفی شرکت ها
aind-ephys-utils-0.0.15
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Utilities library for aind ephys team.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | aind-ephys-utils-0.0.15 |
| نام | aind-ephys-utils |
| نسخه کتابخانه | 0.0.15 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Allen Institute for Neural Dynamics |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/aind-ephys-utils/ |
| مجوز | MIT |
# aind-ephys-utils
[](LICENSE)
[](https://github.com/semantic-release/semantic-release)
Helpful methods for exploring *in vivo* electrophysiology data.
## Installation
### For users
```bash
pip install aind-ephys-utils
```
### For developers
First, clone the repository. Then, from the `aind-ephys-utils` directory, run:
```bash
pip install -e .[dev]
```
**Note:** On recent versions of macOS, you'll need to put the last argument in quotation marks: `".[dev]"`
## Contributing
### Linters and testing
There are several libraries used to run linters, check documentation, and run tests.
- Please test your changes using the **coverage** library, which will run the tests and log a coverage report:
```bash
coverage run -m unittest discover && coverage report
```
- Use **interrogate** to check that modules, methods, etc. have been documented thoroughly:
```bash
interrogate .
```
- Use **black** to automatically format the code into PEP standards:
```bash
black .
```
- Use **flake8** to check that code is up to standards (no unused imports, etc.):
```bash
flake8 .
```
- Use **isort** to automatically sort import statements:
```bash
isort .
```
### Pull requests
For internal members, please create a branch. For external members, please fork the repository and open a pull request from the fork. We'll primarily use [Angular](https://github.com/angular/angular/blob/main/CONTRIBUTING.md#commit) style for commit messages. Roughly, they should follow the pattern:
```text
<type>(<scope>): <short summary>
```
where scope (optional) describes the packages affected by the code changes and type (mandatory) is one of:
- **build**: Changes that affect build tools or external dependencies (example scopes: pyproject.toml, setup.py)
- **ci**: Changes to our CI configuration files and scripts (examples: .github/workflows/ci.yml)
- **docs**: Documentation only changes
- **feat**: A new feature
- **fix**: A bugfix
- **perf**: A code change that improves performance
- **refactor**: A code change that neither fixes a bug nor adds a feature
- **test**: Adding missing tests or correcting existing tests
### Documentation
To generate the rst files source files for documentation, run
```bash
sphinx-apidoc -o doc_template/source/ src/aind_ephys_utils
```
Then to create the documentation HTML files, run
```bash
sphinx-build -b html doc_template/source/ doc_template/build/html
```
More info on sphinx installation can be found [here](https://www.sphinx-doc.org/en/master/usage/installation.html).
## Developing in Code Ocean
Members of the Allen Institute for Neural Dynamics can follow these steps to create a Code Ocean capsule from this repository:
1. Click the **⨁ New Capsule** button and select "Clone from AllenNeuralDynamics"
2. Type in `aind-ephys-utils` and click "Clone" (this step requires that your GitHub credentials are configured properly)
3. Select a Python base image, and optionally change the compute resources
4. Attach data to the capsule and any dependencies needed to load it (e.g. `pynwb`, `hdmf-zarr`)
5. Add plotting dependencies (e.g. `ipympl`, `plotly`)
6. Launch a Visual Studio Code cloud workstation
Inside Visual Studio Code, select "New Terminal" from the "Terminal" menu and run the following commands:
```bash
$ pip install -e .[dev]
$ git checkout -b <name of feature branch>
```
Now, you can create Jupyter notebooks in the "code" directory that can be used to test out new functions before updating the library. When prompted, install the "Python" extensions to be able to execute notebook cells.
Once you've finished writing your code and tests, run the following commands:
```bash
$ coverage run -m unittest discover && coverage report
$ interrogate .
$ black .
$ flake8 .
$ isort .
```
Assuming all of these pass, you're ready to push your changes:
```bash
$ git add <files to add>
$ git commit -m "Commit message"
$ git push -u origin <name of feature branch>
```
After doing this, you can open a pull request on GitHub.
Note that `git` will only track files inside the `aind-ephys-utils` directory, and will ignore everything else in the capsule. You will no longer be able to commit changes to the capsule itself, which is why this workflow should only be used for developing a library, and not for performing any type of data analysis.
When you're done working, it's recommended to put the workstation on hold rather than shutting it down, in order to keep Visual Studio Code in the same state.
نیازمندی
| مقدار | نام |
|---|---|
| - | xarray |
| - | black |
| - | coverage |
| - | flake8 |
| - | interrogate |
| - | isort |
| - | Sphinx |
| - | furo |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl aind-ephys-utils-0.0.15:
pip install aind-ephys-utils-0.0.15.whl
نصب پکیج tar.gz aind-ephys-utils-0.0.15:
pip install aind-ephys-utils-0.0.15.tar.gz