%global _empty_manifest_terminate_build 0
Name:		python-ordered-demuxer
Version:	0.1.0
Release:	1
Summary:	Break iterators into ordered chunks
License:	MIT
URL:		https://github.com/lissahyacinth/ordered_demuxer
Source0:	https://mirrors.aliyun.com/pypi/web/packages/ac/41/5fc2f384a904b4c4b65ca44078baa880d164daff9d6888fcbe1892d4b156/ordered_demuxer-0.1.0.tar.gz
BuildArch:	noarch

Requires:	python3-pytest

%description
# Ordered Demultiplexer in Python
Single pass approach to Demultiplexing/Demuxing

Break an iterator into multiple iterators based on a set of filters.

Typical demuxers will place elements into different iterators,
such as splitting [0,1,2,3] into ([0,2], [1,3]) based on odd or
even elements. Ordered Demuxers focus on breaking iterators into 
contiguous blocks that are meant to be immediately worked upon, 
without having to iterate over the list more than once. 

This makes them appropriate to use with iterators where the contents
cannot be fully held in memory, such as retrieving data online.

### Example
With any iterable input such as
```python
x = iter([ (_, 0), (_, 1), (MessageEnd, 2), (_, 3), (_, 4), (MessageEnd, 5) ])
```


This can be broken into;
```python
Iterator [
  Iterator [(_, 0), (_, 1), (MessageEnd, 2)], 
  Iterator [(_, 3), (_, 4), (MessageEnd, 5)]
]
```

Without passing over each element of data multiple times. This allows for methods like;

```python
for data_stream in demuxed_stream:
  for element in data_stream:
    function(element)
```

Or more interestingly;

```python
def foo(x: Iterator[T]):
  ...

for data_stream in demuxed_stream:
  foo(data_stream)
```

`foo` will consume part of the original iterator, up until the next break point, but still behave identically to passing it an iterator of just the data required.

Due to the way the filters are available within the Demuxer, it's also possible to send these partial iterators to functions according to the relevant filter, i.e.

```python
conditions = [
  FilterCondition(lambda x: x[0] == 'MessageEnd', 'SuccessfulMessageStream'),
  FilterCondition(lambda x: x[0] == 'MessageFailed', 'FailedMessageStream')
]

for data_stream in demuxed_stream:
  if demuxed_stream.condition_met is not None:
    match demuxed_stream.condition_met.name:
      case 'SuccessfulMessageStream':
        foo(data_stream)
      case 'FailedMessageStream':
        foo2(data_stream)
  else:
    foo3(data_stream)
```

Although it requires the consumption of each iterator entirely to make this possible.

## Installation
```bash
python -m pip install ordered-demuxer
```

## Usage
```python
>>> from ordered_demuxer import FilterCondition, OrderedDemuxer
>>> x = [1, 2, 3, 4]
>>> y = FilterCondition(lambda x: x == 2)
>>> splt = OrderedDemuxer(data_source=iter(x), filter=y, split_after=True)
>>> x_iter = splt.__next__()
>>> print(list(x_iter))
  [1, 2]
```




%package -n python3-ordered-demuxer
Summary:	Break iterators into ordered chunks
Provides:	python-ordered-demuxer
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-ordered-demuxer
# Ordered Demultiplexer in Python
Single pass approach to Demultiplexing/Demuxing

Break an iterator into multiple iterators based on a set of filters.

Typical demuxers will place elements into different iterators,
such as splitting [0,1,2,3] into ([0,2], [1,3]) based on odd or
even elements. Ordered Demuxers focus on breaking iterators into 
contiguous blocks that are meant to be immediately worked upon, 
without having to iterate over the list more than once. 

This makes them appropriate to use with iterators where the contents
cannot be fully held in memory, such as retrieving data online.

### Example
With any iterable input such as
```python
x = iter([ (_, 0), (_, 1), (MessageEnd, 2), (_, 3), (_, 4), (MessageEnd, 5) ])
```


This can be broken into;
```python
Iterator [
  Iterator [(_, 0), (_, 1), (MessageEnd, 2)], 
  Iterator [(_, 3), (_, 4), (MessageEnd, 5)]
]
```

Without passing over each element of data multiple times. This allows for methods like;

```python
for data_stream in demuxed_stream:
  for element in data_stream:
    function(element)
```

Or more interestingly;

```python
def foo(x: Iterator[T]):
  ...

for data_stream in demuxed_stream:
  foo(data_stream)
```

`foo` will consume part of the original iterator, up until the next break point, but still behave identically to passing it an iterator of just the data required.

Due to the way the filters are available within the Demuxer, it's also possible to send these partial iterators to functions according to the relevant filter, i.e.

```python
conditions = [
  FilterCondition(lambda x: x[0] == 'MessageEnd', 'SuccessfulMessageStream'),
  FilterCondition(lambda x: x[0] == 'MessageFailed', 'FailedMessageStream')
]

for data_stream in demuxed_stream:
  if demuxed_stream.condition_met is not None:
    match demuxed_stream.condition_met.name:
      case 'SuccessfulMessageStream':
        foo(data_stream)
      case 'FailedMessageStream':
        foo2(data_stream)
  else:
    foo3(data_stream)
```

Although it requires the consumption of each iterator entirely to make this possible.

## Installation
```bash
python -m pip install ordered-demuxer
```

## Usage
```python
>>> from ordered_demuxer import FilterCondition, OrderedDemuxer
>>> x = [1, 2, 3, 4]
>>> y = FilterCondition(lambda x: x == 2)
>>> splt = OrderedDemuxer(data_source=iter(x), filter=y, split_after=True)
>>> x_iter = splt.__next__()
>>> print(list(x_iter))
  [1, 2]
```




%package help
Summary:	Development documents and examples for ordered-demuxer
Provides:	python3-ordered-demuxer-doc
%description help
# Ordered Demultiplexer in Python
Single pass approach to Demultiplexing/Demuxing

Break an iterator into multiple iterators based on a set of filters.

Typical demuxers will place elements into different iterators,
such as splitting [0,1,2,3] into ([0,2], [1,3]) based on odd or
even elements. Ordered Demuxers focus on breaking iterators into 
contiguous blocks that are meant to be immediately worked upon, 
without having to iterate over the list more than once. 

This makes them appropriate to use with iterators where the contents
cannot be fully held in memory, such as retrieving data online.

### Example
With any iterable input such as
```python
x = iter([ (_, 0), (_, 1), (MessageEnd, 2), (_, 3), (_, 4), (MessageEnd, 5) ])
```


This can be broken into;
```python
Iterator [
  Iterator [(_, 0), (_, 1), (MessageEnd, 2)], 
  Iterator [(_, 3), (_, 4), (MessageEnd, 5)]
]
```

Without passing over each element of data multiple times. This allows for methods like;

```python
for data_stream in demuxed_stream:
  for element in data_stream:
    function(element)
```

Or more interestingly;

```python
def foo(x: Iterator[T]):
  ...

for data_stream in demuxed_stream:
  foo(data_stream)
```

`foo` will consume part of the original iterator, up until the next break point, but still behave identically to passing it an iterator of just the data required.

Due to the way the filters are available within the Demuxer, it's also possible to send these partial iterators to functions according to the relevant filter, i.e.

```python
conditions = [
  FilterCondition(lambda x: x[0] == 'MessageEnd', 'SuccessfulMessageStream'),
  FilterCondition(lambda x: x[0] == 'MessageFailed', 'FailedMessageStream')
]

for data_stream in demuxed_stream:
  if demuxed_stream.condition_met is not None:
    match demuxed_stream.condition_met.name:
      case 'SuccessfulMessageStream':
        foo(data_stream)
      case 'FailedMessageStream':
        foo2(data_stream)
  else:
    foo3(data_stream)
```

Although it requires the consumption of each iterator entirely to make this possible.

## Installation
```bash
python -m pip install ordered-demuxer
```

## Usage
```python
>>> from ordered_demuxer import FilterCondition, OrderedDemuxer
>>> x = [1, 2, 3, 4]
>>> y = FilterCondition(lambda x: x == 2)
>>> splt = OrderedDemuxer(data_source=iter(x), filter=y, split_after=True)
>>> x_iter = splt.__next__()
>>> print(list(x_iter))
  [1, 2]
```




%prep
%autosetup -n ordered_demuxer-0.1.0

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

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

%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.0-1
- Package Spec generated