%global _empty_manifest_terminate_build 0
Name:		python-forgebox
Version:	1.0.9
Release:	1
Summary:	please add a summary manually as the author left a blank one
License:	GPLv3+
URL:		https://github.com/raynardj/forgebox
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/dd/05/4cb9ed80633842e0f34ba1175caa3a421bf830c3e4b9102c588b0de66eda/forgebox-1.0.9.tar.gz
BuildArch:	noarch

Requires:	python3-category

%description
# ForgeBox

[![PyPI version](https://img.shields.io/pypi/v/forgebox)](https://pypi.org/project/forgebox/)
![Python version](https://img.shields.io/pypi/pyversions/forgebox)
![License](https://img.shields.io/github/license/raynardj/forgebox)
![PyPI Downloads](https://img.shields.io/pypi/dm/forgebox)
[![pypi build](https://github.com/raynardj/forgebox/actions/workflows/publish.yml/badge.svg)](https://github.com/raynardj/forgebox/actions/workflows/publish.yml)
[![Test](https://github.com/raynardj/forgebox/actions/workflows/test.yml/badge.svg)](https://github.com/raynardj/forgebox/actions/workflows/test.yml)

> Data science comprehensive toolbox

## Installation

Easy simple installation in 1 line
```shell
pip install forgebox
```

If not specified, you need anaconda3 for most of the tools.

See [nbs](./nbs) for most of the applications

## Features 🚀 Briefing

> This is a tool box with comprehensive **utilies**, to put it simply, I just hope most of my frequetyly used DIY tools in one place and can be easily **installed and imported**

### Lazy, fast imports 🤯

The following command will import many frequent tools for data science, like **pd** for pandas, **np** for numpy, os, json, PIL.Image for image processing

```python
from frogebox.imports import *
```

No more following verbosity
```python
import pandas as pd
import numpy as np
import os
import json
...
```
### Get a dataframe of file details under a  directory

```python
from forgebox.files import file_detail
```

```python
file_detail("/Users/xiaochen.zhang/.cache/").sample(5)
```

<div>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>path</th>
      <th>file_type</th>
      <th>parent</th>
      <th>depth</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>36</td>
      <td>/Users/xiaochen.zhang/.cache/torch/transformer...</td>
      <td>json</td>
      <td>transformers</td>
      <td>7</td>
    </tr>
    <tr>
      <td>13</td>
      <td>/Users/xiaochen.zhang/.cache/torch/transformer...</td>
      <td>json</td>
      <td>transformers</td>
      <td>7</td>
    </tr>
    <tr>
      <td>51</td>
      <td>/Users/xiaochen.zhang/.cache/langhuan/task_NER...</td>
      <td>json</td>
      <td>task_NER_210121_140513</td>
      <td>7</td>
    </tr>
    <tr>
      <td>32</td>
      <td>/Users/xiaochen.zhang/.cache/torch/transformer...</td>
      <td>lock</td>
      <td>transformers</td>
      <td>7</td>
    </tr>
    <tr>
      <td>58</td>
      <td>/Users/xiaochen.zhang/.cache/langhuan/task_Cla...</td>
      <td>json</td>
      <td>task_Classify_210128_164710</td>
      <td>7</td>
    </tr>
  </tbody>
</table>
</div>


### HTML in notebook

```python
from forgebox.html import DOM, list_group, list_group_kv
```

This will map a clear HTML table view of wild tree type json structure/ list

```python
bands = ["police", "headpin", {"ac":"dc"}]
list_group(bands)()
```

#### Coding html in python

```python
title = DOM("Title example","h5", kwargs={"style":"color:#3399EE"})
ul = DOM("","ul");
for i in range(5):
    ul = ul.append(DOM(f"Line {i}", "li", kwargs={"style":"color:#EE33DD"}))

title()
ul()
```


<h5 style="color:#3399EE">Title example</h5>



<ul><li style="color:#EE33DD">Line 0</li><li style="color:#EE33DD">Line 1</li><li style="color:#EE33DD">Line 2</li><li style="color:#EE33DD">Line 3</li><li style="color:#EE33DD">Line 4</li></ul>


### Interactive Widgets
> Interactive widgets work with in jupyter notebooks

#### Search box 🔎 for dataframe
This will create an interactive text input box to search through the pandas dataframe, within the columns you set.

if ```manual``` is set to False, the search will respond to **each of your key press**, it's fast but will suffer terrible user experience if the dataframe is huge in size.

```python
from forgebox.widgets import search_box

search_box(data_df, columns=["col1","col2"], manual=False)
```

#### paginate
You can browse through a pandas dataframe like fliping pages 📄.

```python
# this will import many things like enhanced pandas
from forgebox.imports import *
df  = pd.read_csv("xxxx.csv")
df.paginate()
```

```python
from forgebox.widgets import paginate

paginate(your_dataframe, page_len=10)
```


%package -n python3-forgebox
Summary:	please add a summary manually as the author left a blank one
Provides:	python-forgebox
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-forgebox
# ForgeBox

[![PyPI version](https://img.shields.io/pypi/v/forgebox)](https://pypi.org/project/forgebox/)
![Python version](https://img.shields.io/pypi/pyversions/forgebox)
![License](https://img.shields.io/github/license/raynardj/forgebox)
![PyPI Downloads](https://img.shields.io/pypi/dm/forgebox)
[![pypi build](https://github.com/raynardj/forgebox/actions/workflows/publish.yml/badge.svg)](https://github.com/raynardj/forgebox/actions/workflows/publish.yml)
[![Test](https://github.com/raynardj/forgebox/actions/workflows/test.yml/badge.svg)](https://github.com/raynardj/forgebox/actions/workflows/test.yml)

> Data science comprehensive toolbox

## Installation

Easy simple installation in 1 line
```shell
pip install forgebox
```

If not specified, you need anaconda3 for most of the tools.

See [nbs](./nbs) for most of the applications

## Features 🚀 Briefing

> This is a tool box with comprehensive **utilies**, to put it simply, I just hope most of my frequetyly used DIY tools in one place and can be easily **installed and imported**

### Lazy, fast imports 🤯

The following command will import many frequent tools for data science, like **pd** for pandas, **np** for numpy, os, json, PIL.Image for image processing

```python
from frogebox.imports import *
```

No more following verbosity
```python
import pandas as pd
import numpy as np
import os
import json
...
```
### Get a dataframe of file details under a  directory

```python
from forgebox.files import file_detail
```

```python
file_detail("/Users/xiaochen.zhang/.cache/").sample(5)
```

<div>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>path</th>
      <th>file_type</th>
      <th>parent</th>
      <th>depth</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>36</td>
      <td>/Users/xiaochen.zhang/.cache/torch/transformer...</td>
      <td>json</td>
      <td>transformers</td>
      <td>7</td>
    </tr>
    <tr>
      <td>13</td>
      <td>/Users/xiaochen.zhang/.cache/torch/transformer...</td>
      <td>json</td>
      <td>transformers</td>
      <td>7</td>
    </tr>
    <tr>
      <td>51</td>
      <td>/Users/xiaochen.zhang/.cache/langhuan/task_NER...</td>
      <td>json</td>
      <td>task_NER_210121_140513</td>
      <td>7</td>
    </tr>
    <tr>
      <td>32</td>
      <td>/Users/xiaochen.zhang/.cache/torch/transformer...</td>
      <td>lock</td>
      <td>transformers</td>
      <td>7</td>
    </tr>
    <tr>
      <td>58</td>
      <td>/Users/xiaochen.zhang/.cache/langhuan/task_Cla...</td>
      <td>json</td>
      <td>task_Classify_210128_164710</td>
      <td>7</td>
    </tr>
  </tbody>
</table>
</div>


### HTML in notebook

```python
from forgebox.html import DOM, list_group, list_group_kv
```

This will map a clear HTML table view of wild tree type json structure/ list

```python
bands = ["police", "headpin", {"ac":"dc"}]
list_group(bands)()
```

#### Coding html in python

```python
title = DOM("Title example","h5", kwargs={"style":"color:#3399EE"})
ul = DOM("","ul");
for i in range(5):
    ul = ul.append(DOM(f"Line {i}", "li", kwargs={"style":"color:#EE33DD"}))

title()
ul()
```


<h5 style="color:#3399EE">Title example</h5>



<ul><li style="color:#EE33DD">Line 0</li><li style="color:#EE33DD">Line 1</li><li style="color:#EE33DD">Line 2</li><li style="color:#EE33DD">Line 3</li><li style="color:#EE33DD">Line 4</li></ul>


### Interactive Widgets
> Interactive widgets work with in jupyter notebooks

#### Search box 🔎 for dataframe
This will create an interactive text input box to search through the pandas dataframe, within the columns you set.

if ```manual``` is set to False, the search will respond to **each of your key press**, it's fast but will suffer terrible user experience if the dataframe is huge in size.

```python
from forgebox.widgets import search_box

search_box(data_df, columns=["col1","col2"], manual=False)
```

#### paginate
You can browse through a pandas dataframe like fliping pages 📄.

```python
# this will import many things like enhanced pandas
from forgebox.imports import *
df  = pd.read_csv("xxxx.csv")
df.paginate()
```

```python
from forgebox.widgets import paginate

paginate(your_dataframe, page_len=10)
```


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

[![PyPI version](https://img.shields.io/pypi/v/forgebox)](https://pypi.org/project/forgebox/)
![Python version](https://img.shields.io/pypi/pyversions/forgebox)
![License](https://img.shields.io/github/license/raynardj/forgebox)
![PyPI Downloads](https://img.shields.io/pypi/dm/forgebox)
[![pypi build](https://github.com/raynardj/forgebox/actions/workflows/publish.yml/badge.svg)](https://github.com/raynardj/forgebox/actions/workflows/publish.yml)
[![Test](https://github.com/raynardj/forgebox/actions/workflows/test.yml/badge.svg)](https://github.com/raynardj/forgebox/actions/workflows/test.yml)

> Data science comprehensive toolbox

## Installation

Easy simple installation in 1 line
```shell
pip install forgebox
```

If not specified, you need anaconda3 for most of the tools.

See [nbs](./nbs) for most of the applications

## Features 🚀 Briefing

> This is a tool box with comprehensive **utilies**, to put it simply, I just hope most of my frequetyly used DIY tools in one place and can be easily **installed and imported**

### Lazy, fast imports 🤯

The following command will import many frequent tools for data science, like **pd** for pandas, **np** for numpy, os, json, PIL.Image for image processing

```python
from frogebox.imports import *
```

No more following verbosity
```python
import pandas as pd
import numpy as np
import os
import json
...
```
### Get a dataframe of file details under a  directory

```python
from forgebox.files import file_detail
```

```python
file_detail("/Users/xiaochen.zhang/.cache/").sample(5)
```

<div>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>path</th>
      <th>file_type</th>
      <th>parent</th>
      <th>depth</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>36</td>
      <td>/Users/xiaochen.zhang/.cache/torch/transformer...</td>
      <td>json</td>
      <td>transformers</td>
      <td>7</td>
    </tr>
    <tr>
      <td>13</td>
      <td>/Users/xiaochen.zhang/.cache/torch/transformer...</td>
      <td>json</td>
      <td>transformers</td>
      <td>7</td>
    </tr>
    <tr>
      <td>51</td>
      <td>/Users/xiaochen.zhang/.cache/langhuan/task_NER...</td>
      <td>json</td>
      <td>task_NER_210121_140513</td>
      <td>7</td>
    </tr>
    <tr>
      <td>32</td>
      <td>/Users/xiaochen.zhang/.cache/torch/transformer...</td>
      <td>lock</td>
      <td>transformers</td>
      <td>7</td>
    </tr>
    <tr>
      <td>58</td>
      <td>/Users/xiaochen.zhang/.cache/langhuan/task_Cla...</td>
      <td>json</td>
      <td>task_Classify_210128_164710</td>
      <td>7</td>
    </tr>
  </tbody>
</table>
</div>


### HTML in notebook

```python
from forgebox.html import DOM, list_group, list_group_kv
```

This will map a clear HTML table view of wild tree type json structure/ list

```python
bands = ["police", "headpin", {"ac":"dc"}]
list_group(bands)()
```

#### Coding html in python

```python
title = DOM("Title example","h5", kwargs={"style":"color:#3399EE"})
ul = DOM("","ul");
for i in range(5):
    ul = ul.append(DOM(f"Line {i}", "li", kwargs={"style":"color:#EE33DD"}))

title()
ul()
```


<h5 style="color:#3399EE">Title example</h5>



<ul><li style="color:#EE33DD">Line 0</li><li style="color:#EE33DD">Line 1</li><li style="color:#EE33DD">Line 2</li><li style="color:#EE33DD">Line 3</li><li style="color:#EE33DD">Line 4</li></ul>


### Interactive Widgets
> Interactive widgets work with in jupyter notebooks

#### Search box 🔎 for dataframe
This will create an interactive text input box to search through the pandas dataframe, within the columns you set.

if ```manual``` is set to False, the search will respond to **each of your key press**, it's fast but will suffer terrible user experience if the dataframe is huge in size.

```python
from forgebox.widgets import search_box

search_box(data_df, columns=["col1","col2"], manual=False)
```

#### paginate
You can browse through a pandas dataframe like fliping pages 📄.

```python
# this will import many things like enhanced pandas
from forgebox.imports import *
df  = pd.read_csv("xxxx.csv")
df.paginate()
```

```python
from forgebox.widgets import paginate

paginate(your_dataframe, page_len=10)
```


%prep
%autosetup -n forgebox-1.0.9

%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-forgebox -f filelist.lst
%dir %{python3_sitelib}/*

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

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.9-1
- Package Spec generated