%global _empty_manifest_terminate_build 0
Name:		python-curvenote
Version:	0.7.2
Release:	1
Summary:	Helper library from Curvenote for data science in Jupyter notebooks
License:	MIT License
URL:		http://curvenote.com
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/71/f0/9cee6deca808eb3f38bda6d5d8c4e6c9bfc0eca8aabf0440ff8cc63a8b33/curvenote-0.7.2.tar.gz
BuildArch:	noarch

Requires:	python3-ipython
Requires:	python3-pandas
Requires:	python3-traitlets
Requires:	python3-ipywidgets

%description
# curvenote

The Curvenote helper library for working in Jupyter Notebooks with Python kernels

## Installation

```bash
    ~$ python -m pip install curvenote
```

## Summary

- `stash` save a dict or pandas dataframe in a cell output without diaplying the data

  ```python
       from curvenote import stash

       stash('myvars', myvars)
  ```

- `AppState` a traitlet based class to help manage state in ipywidgets ui's

  ```python
    from curvenote import AppState, with_state

    state = AppState()

    # register a widget in state
    wave_1_amp = FloatSlider(1.0, min=0.1, max=5.0, step=0.1, description="1 - Amp")
    state.register_stateful_widget(wave_1_amp, "wave_1_amp", Float(1.0))

    # register any trailet as a propery
    state.register_stateful_property("my_dict", Dict(dict(A="hello", B="world", C=1)))

    # observe the entire state
    def my_update_fn(state):
      some_calc_function(state.wave_1_amp, state.my_dict)
    state.observe(with_state(my_update_fn))

    # observe a single registered widget
    def wave_1_observer(evt):
      pass
    state.register_widget_observer("wave_1_amp", wave_1_observer)

    # observe a single trait
    def trait_observer(evt):
      pass
    state.register_widget_observer("my_dict", trait_observer)

    # display state changes for debugging
    from IPython.display import display
    display(state.outlet)

  ```


%package -n python3-curvenote
Summary:	Helper library from Curvenote for data science in Jupyter notebooks
Provides:	python-curvenote
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-curvenote
# curvenote

The Curvenote helper library for working in Jupyter Notebooks with Python kernels

## Installation

```bash
    ~$ python -m pip install curvenote
```

## Summary

- `stash` save a dict or pandas dataframe in a cell output without diaplying the data

  ```python
       from curvenote import stash

       stash('myvars', myvars)
  ```

- `AppState` a traitlet based class to help manage state in ipywidgets ui's

  ```python
    from curvenote import AppState, with_state

    state = AppState()

    # register a widget in state
    wave_1_amp = FloatSlider(1.0, min=0.1, max=5.0, step=0.1, description="1 - Amp")
    state.register_stateful_widget(wave_1_amp, "wave_1_amp", Float(1.0))

    # register any trailet as a propery
    state.register_stateful_property("my_dict", Dict(dict(A="hello", B="world", C=1)))

    # observe the entire state
    def my_update_fn(state):
      some_calc_function(state.wave_1_amp, state.my_dict)
    state.observe(with_state(my_update_fn))

    # observe a single registered widget
    def wave_1_observer(evt):
      pass
    state.register_widget_observer("wave_1_amp", wave_1_observer)

    # observe a single trait
    def trait_observer(evt):
      pass
    state.register_widget_observer("my_dict", trait_observer)

    # display state changes for debugging
    from IPython.display import display
    display(state.outlet)

  ```


%package help
Summary:	Development documents and examples for curvenote
Provides:	python3-curvenote-doc
%description help
# curvenote

The Curvenote helper library for working in Jupyter Notebooks with Python kernels

## Installation

```bash
    ~$ python -m pip install curvenote
```

## Summary

- `stash` save a dict or pandas dataframe in a cell output without diaplying the data

  ```python
       from curvenote import stash

       stash('myvars', myvars)
  ```

- `AppState` a traitlet based class to help manage state in ipywidgets ui's

  ```python
    from curvenote import AppState, with_state

    state = AppState()

    # register a widget in state
    wave_1_amp = FloatSlider(1.0, min=0.1, max=5.0, step=0.1, description="1 - Amp")
    state.register_stateful_widget(wave_1_amp, "wave_1_amp", Float(1.0))

    # register any trailet as a propery
    state.register_stateful_property("my_dict", Dict(dict(A="hello", B="world", C=1)))

    # observe the entire state
    def my_update_fn(state):
      some_calc_function(state.wave_1_amp, state.my_dict)
    state.observe(with_state(my_update_fn))

    # observe a single registered widget
    def wave_1_observer(evt):
      pass
    state.register_widget_observer("wave_1_amp", wave_1_observer)

    # observe a single trait
    def trait_observer(evt):
      pass
    state.register_widget_observer("my_dict", trait_observer)

    # display state changes for debugging
    from IPython.display import display
    display(state.outlet)

  ```


%prep
%autosetup -n curvenote-0.7.2

%build
%py3_build

%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .

%files -n python3-curvenote -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.7.2-1
- Package Spec generated