%global _empty_manifest_terminate_build 0
Name: python-guppy3
Version: 3.1.2
Release: 1
Summary: Guppy 3 -- Guppy-PE ported to Python 3
License: MIT
URL: https://github.com/zhuyifei1999/guppy3/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/89/3f/20b34899b9e29465525f0ed45812ad2c0e71ec329b62f416df3131a154e2/guppy3-3.1.2.tar.gz
%description
# Guppy 3
[](https://travis-ci.com/zhuyifei1999/guppy3) [](https://codecov.io/gh/zhuyifei1999/guppy3) [](https://pypi.org/project/guppy3/) [](https://repology.org/project/python:guppy3/versions)
[](https://pypi.org/project/guppy3/) [](https://pypi.org/project/guppy3/) [](https://pypistats.org/packages/guppy3) [](https://github.com/zhuyifei1999/guppy3/blob/master/LICENSE)
A Python Programming Environment & Heap analysis toolset.
This package contains the following subpackages:
* etc - Support modules. Contains especially the Glue protocol module.
* gsl - The Guppy Specification Language implementation. This can be used
to create documents and tests from a common source.
* heapy - The heap analysis toolset. It can be used to find information about
the objects in the heap and display the information in various ways.
* sets - Bitsets and 'nodesets' implemented in C.
Guppy 3 is a fork of Guppy-PE, created by Sverker Nilsson for Python 2.
## Requirements
You should have Python 3.6, 3.7, 3.8, or 3.9. This package is CPython only;
PyPy and other Python implementations are not supported. Python 2 support
can be obtained from [guppy-pe](http://guppy-pe.sourceforge.net/) by
Sverker Nilsson, from which this package is forked.
To use the graphical browser, Tkinter is needed.
To use the remote monitor, threading must be available.
## Installation
Install with pip by:
```
pip install guppy3
```
Install with conda by:
```
conda install -c conda-forge guppy3
```
## Usage
The following example shows
1. How to create the session context: `h=hpy()`
2. How to show the reachable objects in the heap: `h.heap()`
4. How to show the shortest paths from the root to the single largest object: `h.heap().byid[0].sp`
3. How to create and show a set of objects: `h.iso(1,[],{})`
```python
>>> from guppy import hpy; h=hpy()
>>> h.heap()
Partition of a set of 30976 objects. Total size = 3544220 bytes.
Index Count % Size % Cumulative % Kind (class / dict of class)
0 8292 27 739022 21 739022 21 str
1 7834 25 625624 18 1364646 39 tuple
2 2079 7 300624 8 1665270 47 types.CodeType
3 400 1 297088 8 1962358 55 type
4 4168 13 279278 8 2241636 63 bytes
5 1869 6 269136 8 2510772 71 function
6 400 1 228464 6 2739236 77 dict of type
7 79 0 139704 4 2878940 81 dict of module
8 1061 3 93368 3 2972308 84 types.WrapperDescriptorType
9 172 1 81712 2 3054020 86 dict (no owner)
<89 more rows. Type e.g. '_.more' to view.>
>>> h.heap().byid[0].sp
0: h.Root.i0_modules['os'].__dict__
>>> h.iso(1,[],{})
Partition of a set of 3 objects. Total size = 348 bytes.
Index Count % Size % Cumulative % Kind (class / dict of class)
0 1 33 248 71 248 71 dict (no owner)
1 1 33 72 21 320 92 list
2 1 33 28 8 348 100 int
>>>
```
People have written awesome posts on how to use this toolset, including:
* [How to use guppy/heapy for tracking down memory usage](https://smira.ru/wp-content/uploads/2011/08/heapy.html)
* [Debugging Django memory leak with TrackRefs and Guppy](https://opensourcehacker.com/2008/03/07/debugging-django-memory-leak-with-trackrefs-and-guppy/)
* [Diagnosing Memory "Leaks" in Python](https://chase-seibert.github.io/blog/2013/08/03/diagnosing-memory-leaks-python.html)
* [Digging into python memory issues in ckan with heapy](https://leastsignificant.blogspot.com/2015/06/digging-into-python-memory-issues-in.html)
Formal and API documentation are [also available](https://zhuyifei1999.github.io/guppy3/).
## Contributing
Issues and pull requests are welcome. You may also ask for help on using this
toolset; however, in such cases, we will only provide guidance, and not profile
your code for you.
Please make sure to update tests as appropriate.
### Testing
To test if the heapy build and installation was ok, you can do:
```python
>>> from guppy import hpy
>>> hpy().test()
Testing sets
Test #0
Test #1
Test #2
...
```
There will be several more tests. Some tests may take a while.
## License
Copyright (C) 2005-2013 Sverker Nilsson, S. Nilsson Computer System AB
Copyright (C) 2019-2021 YiFei Zhu
The right is granted to copy, use, modify and redistribute this code
according to the rules in what is commonly referred to as an MIT
license.
*** USE AT YOUR OWN RISK AND BE AWARE THAT THIS IS AN EARLY RELEASE ***
%package -n python3-guppy3
Summary: Guppy 3 -- Guppy-PE ported to Python 3
Provides: python-guppy3
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-guppy3
# Guppy 3
[](https://travis-ci.com/zhuyifei1999/guppy3) [](https://codecov.io/gh/zhuyifei1999/guppy3) [](https://pypi.org/project/guppy3/) [](https://repology.org/project/python:guppy3/versions)
[](https://pypi.org/project/guppy3/) [](https://pypi.org/project/guppy3/) [](https://pypistats.org/packages/guppy3) [](https://github.com/zhuyifei1999/guppy3/blob/master/LICENSE)
A Python Programming Environment & Heap analysis toolset.
This package contains the following subpackages:
* etc - Support modules. Contains especially the Glue protocol module.
* gsl - The Guppy Specification Language implementation. This can be used
to create documents and tests from a common source.
* heapy - The heap analysis toolset. It can be used to find information about
the objects in the heap and display the information in various ways.
* sets - Bitsets and 'nodesets' implemented in C.
Guppy 3 is a fork of Guppy-PE, created by Sverker Nilsson for Python 2.
## Requirements
You should have Python 3.6, 3.7, 3.8, or 3.9. This package is CPython only;
PyPy and other Python implementations are not supported. Python 2 support
can be obtained from [guppy-pe](http://guppy-pe.sourceforge.net/) by
Sverker Nilsson, from which this package is forked.
To use the graphical browser, Tkinter is needed.
To use the remote monitor, threading must be available.
## Installation
Install with pip by:
```
pip install guppy3
```
Install with conda by:
```
conda install -c conda-forge guppy3
```
## Usage
The following example shows
1. How to create the session context: `h=hpy()`
2. How to show the reachable objects in the heap: `h.heap()`
4. How to show the shortest paths from the root to the single largest object: `h.heap().byid[0].sp`
3. How to create and show a set of objects: `h.iso(1,[],{})`
```python
>>> from guppy import hpy; h=hpy()
>>> h.heap()
Partition of a set of 30976 objects. Total size = 3544220 bytes.
Index Count % Size % Cumulative % Kind (class / dict of class)
0 8292 27 739022 21 739022 21 str
1 7834 25 625624 18 1364646 39 tuple
2 2079 7 300624 8 1665270 47 types.CodeType
3 400 1 297088 8 1962358 55 type
4 4168 13 279278 8 2241636 63 bytes
5 1869 6 269136 8 2510772 71 function
6 400 1 228464 6 2739236 77 dict of type
7 79 0 139704 4 2878940 81 dict of module
8 1061 3 93368 3 2972308 84 types.WrapperDescriptorType
9 172 1 81712 2 3054020 86 dict (no owner)
<89 more rows. Type e.g. '_.more' to view.>
>>> h.heap().byid[0].sp
0: h.Root.i0_modules['os'].__dict__
>>> h.iso(1,[],{})
Partition of a set of 3 objects. Total size = 348 bytes.
Index Count % Size % Cumulative % Kind (class / dict of class)
0 1 33 248 71 248 71 dict (no owner)
1 1 33 72 21 320 92 list
2 1 33 28 8 348 100 int
>>>
```
People have written awesome posts on how to use this toolset, including:
* [How to use guppy/heapy for tracking down memory usage](https://smira.ru/wp-content/uploads/2011/08/heapy.html)
* [Debugging Django memory leak with TrackRefs and Guppy](https://opensourcehacker.com/2008/03/07/debugging-django-memory-leak-with-trackrefs-and-guppy/)
* [Diagnosing Memory "Leaks" in Python](https://chase-seibert.github.io/blog/2013/08/03/diagnosing-memory-leaks-python.html)
* [Digging into python memory issues in ckan with heapy](https://leastsignificant.blogspot.com/2015/06/digging-into-python-memory-issues-in.html)
Formal and API documentation are [also available](https://zhuyifei1999.github.io/guppy3/).
## Contributing
Issues and pull requests are welcome. You may also ask for help on using this
toolset; however, in such cases, we will only provide guidance, and not profile
your code for you.
Please make sure to update tests as appropriate.
### Testing
To test if the heapy build and installation was ok, you can do:
```python
>>> from guppy import hpy
>>> hpy().test()
Testing sets
Test #0
Test #1
Test #2
...
```
There will be several more tests. Some tests may take a while.
## License
Copyright (C) 2005-2013 Sverker Nilsson, S. Nilsson Computer System AB
Copyright (C) 2019-2021 YiFei Zhu
The right is granted to copy, use, modify and redistribute this code
according to the rules in what is commonly referred to as an MIT
license.
*** USE AT YOUR OWN RISK AND BE AWARE THAT THIS IS AN EARLY RELEASE ***
%package help
Summary: Development documents and examples for guppy3
Provides: python3-guppy3-doc
%description help
# Guppy 3
[](https://travis-ci.com/zhuyifei1999/guppy3) [](https://codecov.io/gh/zhuyifei1999/guppy3) [](https://pypi.org/project/guppy3/) [](https://repology.org/project/python:guppy3/versions)
[](https://pypi.org/project/guppy3/) [](https://pypi.org/project/guppy3/) [](https://pypistats.org/packages/guppy3) [](https://github.com/zhuyifei1999/guppy3/blob/master/LICENSE)
A Python Programming Environment & Heap analysis toolset.
This package contains the following subpackages:
* etc - Support modules. Contains especially the Glue protocol module.
* gsl - The Guppy Specification Language implementation. This can be used
to create documents and tests from a common source.
* heapy - The heap analysis toolset. It can be used to find information about
the objects in the heap and display the information in various ways.
* sets - Bitsets and 'nodesets' implemented in C.
Guppy 3 is a fork of Guppy-PE, created by Sverker Nilsson for Python 2.
## Requirements
You should have Python 3.6, 3.7, 3.8, or 3.9. This package is CPython only;
PyPy and other Python implementations are not supported. Python 2 support
can be obtained from [guppy-pe](http://guppy-pe.sourceforge.net/) by
Sverker Nilsson, from which this package is forked.
To use the graphical browser, Tkinter is needed.
To use the remote monitor, threading must be available.
## Installation
Install with pip by:
```
pip install guppy3
```
Install with conda by:
```
conda install -c conda-forge guppy3
```
## Usage
The following example shows
1. How to create the session context: `h=hpy()`
2. How to show the reachable objects in the heap: `h.heap()`
4. How to show the shortest paths from the root to the single largest object: `h.heap().byid[0].sp`
3. How to create and show a set of objects: `h.iso(1,[],{})`
```python
>>> from guppy import hpy; h=hpy()
>>> h.heap()
Partition of a set of 30976 objects. Total size = 3544220 bytes.
Index Count % Size % Cumulative % Kind (class / dict of class)
0 8292 27 739022 21 739022 21 str
1 7834 25 625624 18 1364646 39 tuple
2 2079 7 300624 8 1665270 47 types.CodeType
3 400 1 297088 8 1962358 55 type
4 4168 13 279278 8 2241636 63 bytes
5 1869 6 269136 8 2510772 71 function
6 400 1 228464 6 2739236 77 dict of type
7 79 0 139704 4 2878940 81 dict of module
8 1061 3 93368 3 2972308 84 types.WrapperDescriptorType
9 172 1 81712 2 3054020 86 dict (no owner)
<89 more rows. Type e.g. '_.more' to view.>
>>> h.heap().byid[0].sp
0: h.Root.i0_modules['os'].__dict__
>>> h.iso(1,[],{})
Partition of a set of 3 objects. Total size = 348 bytes.
Index Count % Size % Cumulative % Kind (class / dict of class)
0 1 33 248 71 248 71 dict (no owner)
1 1 33 72 21 320 92 list
2 1 33 28 8 348 100 int
>>>
```
People have written awesome posts on how to use this toolset, including:
* [How to use guppy/heapy for tracking down memory usage](https://smira.ru/wp-content/uploads/2011/08/heapy.html)
* [Debugging Django memory leak with TrackRefs and Guppy](https://opensourcehacker.com/2008/03/07/debugging-django-memory-leak-with-trackrefs-and-guppy/)
* [Diagnosing Memory "Leaks" in Python](https://chase-seibert.github.io/blog/2013/08/03/diagnosing-memory-leaks-python.html)
* [Digging into python memory issues in ckan with heapy](https://leastsignificant.blogspot.com/2015/06/digging-into-python-memory-issues-in.html)
Formal and API documentation are [also available](https://zhuyifei1999.github.io/guppy3/).
## Contributing
Issues and pull requests are welcome. You may also ask for help on using this
toolset; however, in such cases, we will only provide guidance, and not profile
your code for you.
Please make sure to update tests as appropriate.
### Testing
To test if the heapy build and installation was ok, you can do:
```python
>>> from guppy import hpy
>>> hpy().test()
Testing sets
Test #0
Test #1
Test #2
...
```
There will be several more tests. Some tests may take a while.
## License
Copyright (C) 2005-2013 Sverker Nilsson, S. Nilsson Computer System AB
Copyright (C) 2019-2021 YiFei Zhu
The right is granted to copy, use, modify and redistribute this code
according to the rules in what is commonly referred to as an MIT
license.
*** USE AT YOUR OWN RISK AND BE AWARE THAT THIS IS AN EARLY RELEASE ***
%prep
%autosetup -n guppy3-3.1.2
%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-guppy3 -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 3.1.2-1
- Package Spec generated