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plain_obj

https://travis-ci.org/suzaku/plain_obj.svg?branch=master

A faster alternative to namedtuple.

Basic Usage

Creation

importplain_objConfig=plain_obj.new_type('Config', 'is_debug, skips_dist, run_tests')
config=Config(True, False, True)
ifconfig.is_debug:
print("This is a verbose debugging message.")

Make a dict

config.as_dict()

Unpacking

is_debug, _, run_tests=config

When to use plain_obj instead of namedtuple?

When faster creation time matters to you.

Comparing plain_obj with namedtuple in Python 2.7:

In [3]: %timeitcollections.namedtuple('Point', ['x', 'y', 'z'])
1000loops, bestof3: 338µsperloopIn [4]: %timeitplain_obj.new_type('Point', ['x', 'y', 'z'])
10000loops, bestof3: 97.8µsperloopIn [5]: Point=collections.namedtuple('Point', ['x', 'y', 'z'])
In [6]: NewPoint=plain_obj.new_type('Point', ['x', 'y', 'z'])
In [7]: %timeitPoint(1, 2, 3)
Theslowestruntook7.99timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 507nsperloopIn [8]: %timeitNewPoint(1, 2, 3)
Theslowestruntook6.70timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 462nsperloopIn [9]: p=Point(1, 2, 3)
In [10]: new_p=NewPoint(1, 2, 3)
In [11]: %timeitp.x, p.y, p.zTheslowestruntook9.92timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 408nsperloopIn [12]: %timeitnew_p.x, new_p.y, new_p.zTheslowestruntook11.70timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
10000000loops, bestof3: 163nsperloop

Comparing plain_obj with namedtuple in Python 3.6:

In [3]: %timeitcollections.namedtuple('Point', ['x', 'y', 'z'])
382µs ± 3.82µsperloop (mean ± std. dev. of7runs, 1000loopseach)
In [4]: %timeitplain_obj.new_type('Point', ['x', 'y', 'z'])
53.5µs ± 1.2µsperloop (mean ± std. dev. of7runs, 10000loopseach)
In [5]: Point=collections.namedtuple('Point', ['x', 'y', 'z'])
In [6]: NewPoint=plain_obj.new_type('Point', ['x', 'y', 'z'])
In [7]: %timeitPoint(1, 2, 3)
521ns ± 2.5nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [8]: %timeitNewPoint(1, 2, 3)
438ns ± 5.53nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [9]: p=Point(1, 2, 3)
In [10]: new_p=NewPoint(1, 2, 3)
In [11]: %timeitp.x, p.y, p.z282ns ± 2.52nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [12]: %timeitnew_p.x, new_p.y, new_p.z148ns ± 1.7nsperloop (mean ± std. dev. of7runs, 10000000loopseach)

As you can see, it's faster in all cases including type creation, object instantiation and attribute access.

Sponsor

About

A faster alternative to namedtuple.

github.com/suzaku/plain_obj

Topics

librarynamedtuplepythonpython3

Resources

Readme
MIT license
Activity

Stars

18 stars

Watchers

2 watching

Forks

0 forks
Report repository

Releases

Packages

Used by

Contributors

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GitHub - suzaku/plain_obj: A faster alternative to namedtuple. · GitHub
Skip to content
BranchesTags
Repository files navigation
plain_obj
https://travis-ci.org/suzaku/plain_obj.svg?branch=master
A faster alternative to namedtuple.
Basic Usage
Creation
importplain_objConfig=plain_obj.new_type('Config', 'is_debug, skips_dist, run_tests')
config=Config(True, False, True)
ifconfig.is_debug:
print("This is a verbose debugging message.")
Make a dict
config.as_dict()
Unpacking
is_debug, _, run_tests=config
When to use plain_obj instead of namedtuple?
When faster creation time matters to you.
Comparing plain_obj with namedtuple in Python 2.7:
In [3]: %timeitcollections.namedtuple('Point', ['x', 'y', 'z'])
1000loops, bestof3: 338µsperloopIn [4]: %timeitplain_obj.new_type('Point', ['x', 'y', 'z'])
10000loops, bestof3: 97.8µsperloopIn [5]: Point=collections.namedtuple('Point', ['x', 'y', 'z'])
In [6]: NewPoint=plain_obj.new_type('Point', ['x', 'y', 'z'])
In [7]: %timeitPoint(1, 2, 3)
Theslowestruntook7.99timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 507nsperloopIn [8]: %timeitNewPoint(1, 2, 3)
Theslowestruntook6.70timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 462nsperloopIn [9]: p=Point(1, 2, 3)
In [10]: new_p=NewPoint(1, 2, 3)
In [11]: %timeitp.x, p.y, p.zTheslowestruntook9.92timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 408nsperloopIn [12]: %timeitnew_p.x, new_p.y, new_p.zTheslowestruntook11.70timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
10000000loops, bestof3: 163nsperloop
Comparing plain_obj with namedtuple in Python 3.6:
In [3]: %timeitcollections.namedtuple('Point', ['x', 'y', 'z'])
382µs ± 3.82µsperloop (mean ± std. dev. of7runs, 1000loopseach)
In [4]: %timeitplain_obj.new_type('Point', ['x', 'y', 'z'])
53.5µs ± 1.2µsperloop (mean ± std. dev. of7runs, 10000loopseach)
In [5]: Point=collections.namedtuple('Point', ['x', 'y', 'z'])
In [6]: NewPoint=plain_obj.new_type('Point', ['x', 'y', 'z'])
In [7]: %timeitPoint(1, 2, 3)
521ns ± 2.5nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [8]: %timeitNewPoint(1, 2, 3)
438ns ± 5.53nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [9]: p=Point(1, 2, 3)
In [10]: new_p=NewPoint(1, 2, 3)
In [11]: %timeitp.x, p.y, p.z282ns ± 2.52nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [12]: %timeitnew_p.x, new_p.y, new_p.z148ns ± 1.7nsperloop (mean ± std. dev. of7runs, 10000000loopseach)
As you can see, it's faster in all cases including type creation, object instantiation and attribute access.
Sponsor
About
A faster alternative to namedtuple.
github.com/suzaku/plain_obj
Topics
librarynamedtuplepythonpython3
Resources
Readme
MIT license
Activity
Stars
18 stars
Watchers
2 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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var __m = "*";
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GitHub - suzaku/plain_obj: A faster alternative to namedtuple. · GitHub
Skip to content
BranchesTags
Repository files navigation
plain_obj
https://travis-ci.org/suzaku/plain_obj.svg?branch=master
A faster alternative to namedtuple.
Basic Usage
Creation
importplain_objConfig=plain_obj.new_type('Config', 'is_debug, skips_dist, run_tests')
config=Config(True, False, True)
ifconfig.is_debug:
print("This is a verbose debugging message.")
Make a dict
config.as_dict()
Unpacking
is_debug, _, run_tests=config
When to use plain_obj instead of namedtuple?
When faster creation time matters to you.
Comparing plain_obj with namedtuple in Python 2.7:
In [3]: %timeitcollections.namedtuple('Point', ['x', 'y', 'z'])
1000loops, bestof3: 338µsperloopIn [4]: %timeitplain_obj.new_type('Point', ['x', 'y', 'z'])
10000loops, bestof3: 97.8µsperloopIn [5]: Point=collections.namedtuple('Point', ['x', 'y', 'z'])
In [6]: NewPoint=plain_obj.new_type('Point', ['x', 'y', 'z'])
In [7]: %timeitPoint(1, 2, 3)
Theslowestruntook7.99timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 507nsperloopIn [8]: %timeitNewPoint(1, 2, 3)
Theslowestruntook6.70timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 462nsperloopIn [9]: p=Point(1, 2, 3)
In [10]: new_p=NewPoint(1, 2, 3)
In [11]: %timeitp.x, p.y, p.zTheslowestruntook9.92timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 408nsperloopIn [12]: %timeitnew_p.x, new_p.y, new_p.zTheslowestruntook11.70timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
10000000loops, bestof3: 163nsperloop
Comparing plain_obj with namedtuple in Python 3.6:
In [3]: %timeitcollections.namedtuple('Point', ['x', 'y', 'z'])
382µs ± 3.82µsperloop (mean ± std. dev. of7runs, 1000loopseach)
In [4]: %timeitplain_obj.new_type('Point', ['x', 'y', 'z'])
53.5µs ± 1.2µsperloop (mean ± std. dev. of7runs, 10000loopseach)
In [5]: Point=collections.namedtuple('Point', ['x', 'y', 'z'])
In [6]: NewPoint=plain_obj.new_type('Point', ['x', 'y', 'z'])
In [7]: %timeitPoint(1, 2, 3)
521ns ± 2.5nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [8]: %timeitNewPoint(1, 2, 3)
438ns ± 5.53nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [9]: p=Point(1, 2, 3)
In [10]: new_p=NewPoint(1, 2, 3)
In [11]: %timeitp.x, p.y, p.z282ns ± 2.52nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [12]: %timeitnew_p.x, new_p.y, new_p.z148ns ± 1.7nsperloop (mean ± std. dev. of7runs, 10000000loopseach)
As you can see, it's faster in all cases including type creation, object instantiation and attribute access.
Sponsor
About
A faster alternative to namedtuple.
github.com/suzaku/plain_obj
Topics
librarynamedtuplepythonpython3
Resources
Readme
MIT license
Activity
Stars
18 stars
Watchers
2 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - suzaku/plain_obj: A faster alternative to namedtuple. · GitHub
Skip to content
BranchesTags
Repository files navigation
plain_obj
https://travis-ci.org/suzaku/plain_obj.svg?branch=master
A faster alternative to namedtuple.
Basic Usage
Creation
importplain_objConfig=plain_obj.new_type('Config', 'is_debug, skips_dist, run_tests')
config=Config(True, False, True)
ifconfig.is_debug:
print("This is a verbose debugging message.")
Make a dict
config.as_dict()
Unpacking
is_debug, _, run_tests=config
When to use plain_obj instead of namedtuple?
When faster creation time matters to you.
Comparing plain_obj with namedtuple in Python 2.7:
In [3]: %timeitcollections.namedtuple('Point', ['x', 'y', 'z'])
1000loops, bestof3: 338µsperloopIn [4]: %timeitplain_obj.new_type('Point', ['x', 'y', 'z'])
10000loops, bestof3: 97.8µsperloopIn [5]: Point=collections.namedtuple('Point', ['x', 'y', 'z'])
In [6]: NewPoint=plain_obj.new_type('Point', ['x', 'y', 'z'])
In [7]: %timeitPoint(1, 2, 3)
Theslowestruntook7.99timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 507nsperloopIn [8]: %timeitNewPoint(1, 2, 3)
Theslowestruntook6.70timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 462nsperloopIn [9]: p=Point(1, 2, 3)
In [10]: new_p=NewPoint(1, 2, 3)
In [11]: %timeitp.x, p.y, p.zTheslowestruntook9.92timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 408nsperloopIn [12]: %timeitnew_p.x, new_p.y, new_p.zTheslowestruntook11.70timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
10000000loops, bestof3: 163nsperloop
Comparing plain_obj with namedtuple in Python 3.6:
In [3]: %timeitcollections.namedtuple('Point', ['x', 'y', 'z'])
382µs ± 3.82µsperloop (mean ± std. dev. of7runs, 1000loopseach)
In [4]: %timeitplain_obj.new_type('Point', ['x', 'y', 'z'])
53.5µs ± 1.2µsperloop (mean ± std. dev. of7runs, 10000loopseach)
In [5]: Point=collections.namedtuple('Point', ['x', 'y', 'z'])
In [6]: NewPoint=plain_obj.new_type('Point', ['x', 'y', 'z'])
In [7]: %timeitPoint(1, 2, 3)
521ns ± 2.5nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [8]: %timeitNewPoint(1, 2, 3)
438ns ± 5.53nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [9]: p=Point(1, 2, 3)
In [10]: new_p=NewPoint(1, 2, 3)
In [11]: %timeitp.x, p.y, p.z282ns ± 2.52nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [12]: %timeitnew_p.x, new_p.y, new_p.z148ns ± 1.7nsperloop (mean ± std. dev. of7runs, 10000000loopseach)
As you can see, it's faster in all cases including type creation, object instantiation and attribute access.
Sponsor
About
A faster alternative to namedtuple.
github.com/suzaku/plain_obj
Topics
librarynamedtuplepythonpython3
Resources
Readme
MIT license
Activity
Stars
18 stars
Watchers
2 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
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try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - suzaku/plain_obj: A faster alternative to namedtuple. · GitHub
Skip to content
BranchesTags
Repository files navigation
plain_obj
https://travis-ci.org/suzaku/plain_obj.svg?branch=master
A faster alternative to namedtuple.
Basic Usage
Creation
importplain_objConfig=plain_obj.new_type('Config', 'is_debug, skips_dist, run_tests')
config=Config(True, False, True)
ifconfig.is_debug:
print("This is a verbose debugging message.")
Make a dict
config.as_dict()
Unpacking
is_debug, _, run_tests=config
When to use plain_obj instead of namedtuple?
When faster creation time matters to you.
Comparing plain_obj with namedtuple in Python 2.7:
In [3]: %timeitcollections.namedtuple('Point', ['x', 'y', 'z'])
1000loops, bestof3: 338µsperloopIn [4]: %timeitplain_obj.new_type('Point', ['x', 'y', 'z'])
10000loops, bestof3: 97.8µsperloopIn [5]: Point=collections.namedtuple('Point', ['x', 'y', 'z'])
In [6]: NewPoint=plain_obj.new_type('Point', ['x', 'y', 'z'])
In [7]: %timeitPoint(1, 2, 3)
Theslowestruntook7.99timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 507nsperloopIn [8]: %timeitNewPoint(1, 2, 3)
Theslowestruntook6.70timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 462nsperloopIn [9]: p=Point(1, 2, 3)
In [10]: new_p=NewPoint(1, 2, 3)
In [11]: %timeitp.x, p.y, p.zTheslowestruntook9.92timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 408nsperloopIn [12]: %timeitnew_p.x, new_p.y, new_p.zTheslowestruntook11.70timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
10000000loops, bestof3: 163nsperloop
Comparing plain_obj with namedtuple in Python 3.6:
In [3]: %timeitcollections.namedtuple('Point', ['x', 'y', 'z'])
382µs ± 3.82µsperloop (mean ± std. dev. of7runs, 1000loopseach)
In [4]: %timeitplain_obj.new_type('Point', ['x', 'y', 'z'])
53.5µs ± 1.2µsperloop (mean ± std. dev. of7runs, 10000loopseach)
In [5]: Point=collections.namedtuple('Point', ['x', 'y', 'z'])
In [6]: NewPoint=plain_obj.new_type('Point', ['x', 'y', 'z'])
In [7]: %timeitPoint(1, 2, 3)
521ns ± 2.5nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [8]: %timeitNewPoint(1, 2, 3)
438ns ± 5.53nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [9]: p=Point(1, 2, 3)
In [10]: new_p=NewPoint(1, 2, 3)
In [11]: %timeitp.x, p.y, p.z282ns ± 2.52nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [12]: %timeitnew_p.x, new_p.y, new_p.z148ns ± 1.7nsperloop (mean ± std. dev. of7runs, 10000000loopseach)
As you can see, it's faster in all cases including type creation, object instantiation and attribute access.
Sponsor
About
A faster alternative to namedtuple.
github.com/suzaku/plain_obj
Topics
librarynamedtuplepythonpython3
Resources
Readme
MIT license
Activity
Stars
18 stars
Watchers
2 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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function tryTheater() {
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GitHub - suzaku/plain_obj: A faster alternative to namedtuple. · GitHub
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plain_obj
https://travis-ci.org/suzaku/plain_obj.svg?branch=master
A faster alternative to namedtuple.
Basic Usage
Creation
importplain_objConfig=plain_obj.new_type('Config', 'is_debug, skips_dist, run_tests')
config=Config(True, False, True)
ifconfig.is_debug:
print("This is a verbose debugging message.")
Make a dict
config.as_dict()
Unpacking
is_debug, _, run_tests=config
When to use plain_obj instead of namedtuple?
When faster creation time matters to you.
Comparing plain_obj with namedtuple in Python 2.7:
In [3]: %timeitcollections.namedtuple('Point', ['x', 'y', 'z'])
1000loops, bestof3: 338µsperloopIn [4]: %timeitplain_obj.new_type('Point', ['x', 'y', 'z'])
10000loops, bestof3: 97.8µsperloopIn [5]: Point=collections.namedtuple('Point', ['x', 'y', 'z'])
In [6]: NewPoint=plain_obj.new_type('Point', ['x', 'y', 'z'])
In [7]: %timeitPoint(1, 2, 3)
Theslowestruntook7.99timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 507nsperloopIn [8]: %timeitNewPoint(1, 2, 3)
Theslowestruntook6.70timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 462nsperloopIn [9]: p=Point(1, 2, 3)
In [10]: new_p=NewPoint(1, 2, 3)
In [11]: %timeitp.x, p.y, p.zTheslowestruntook9.92timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 408nsperloopIn [12]: %timeitnew_p.x, new_p.y, new_p.zTheslowestruntook11.70timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
10000000loops, bestof3: 163nsperloop
Comparing plain_obj with namedtuple in Python 3.6:
In [3]: %timeitcollections.namedtuple('Point', ['x', 'y', 'z'])
382µs ± 3.82µsperloop (mean ± std. dev. of7runs, 1000loopseach)
In [4]: %timeitplain_obj.new_type('Point', ['x', 'y', 'z'])
53.5µs ± 1.2µsperloop (mean ± std. dev. of7runs, 10000loopseach)
In [5]: Point=collections.namedtuple('Point', ['x', 'y', 'z'])
In [6]: NewPoint=plain_obj.new_type('Point', ['x', 'y', 'z'])
In [7]: %timeitPoint(1, 2, 3)
521ns ± 2.5nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [8]: %timeitNewPoint(1, 2, 3)
438ns ± 5.53nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [9]: p=Point(1, 2, 3)
In [10]: new_p=NewPoint(1, 2, 3)
In [11]: %timeitp.x, p.y, p.z282ns ± 2.52nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [12]: %timeitnew_p.x, new_p.y, new_p.z148ns ± 1.7nsperloop (mean ± std. dev. of7runs, 10000000loopseach)
As you can see, it's faster in all cases including type creation, object instantiation and attribute access.
Sponsor
About
A faster alternative to namedtuple.
github.com/suzaku/plain_obj
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librarynamedtuplepythonpython3
Resources
Readme
MIT license
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18 stars
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2 watching
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GitHub - suzaku/plain_obj: A faster alternative to namedtuple. · GitHub
Skip to content
BranchesTags
Repository files navigation
plain_obj
https://travis-ci.org/suzaku/plain_obj.svg?branch=master
A faster alternative to namedtuple.
Basic Usage
Creation
importplain_objConfig=plain_obj.new_type('Config', 'is_debug, skips_dist, run_tests')
config=Config(True, False, True)
ifconfig.is_debug:
print("This is a verbose debugging message.")
Make a dict
config.as_dict()
Unpacking
is_debug, _, run_tests=config
When to use plain_obj instead of namedtuple?
When faster creation time matters to you.
Comparing plain_obj with namedtuple in Python 2.7:
In [3]: %timeitcollections.namedtuple('Point', ['x', 'y', 'z'])
1000loops, bestof3: 338µsperloopIn [4]: %timeitplain_obj.new_type('Point', ['x', 'y', 'z'])
10000loops, bestof3: 97.8µsperloopIn [5]: Point=collections.namedtuple('Point', ['x', 'y', 'z'])
In [6]: NewPoint=plain_obj.new_type('Point', ['x', 'y', 'z'])
In [7]: %timeitPoint(1, 2, 3)
Theslowestruntook7.99timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 507nsperloopIn [8]: %timeitNewPoint(1, 2, 3)
Theslowestruntook6.70timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 462nsperloopIn [9]: p=Point(1, 2, 3)
In [10]: new_p=NewPoint(1, 2, 3)
In [11]: %timeitp.x, p.y, p.zTheslowestruntook9.92timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 408nsperloopIn [12]: %timeitnew_p.x, new_p.y, new_p.zTheslowestruntook11.70timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
10000000loops, bestof3: 163nsperloop
Comparing plain_obj with namedtuple in Python 3.6:
In [3]: %timeitcollections.namedtuple('Point', ['x', 'y', 'z'])
382µs ± 3.82µsperloop (mean ± std. dev. of7runs, 1000loopseach)
In [4]: %timeitplain_obj.new_type('Point', ['x', 'y', 'z'])
53.5µs ± 1.2µsperloop (mean ± std. dev. of7runs, 10000loopseach)
In [5]: Point=collections.namedtuple('Point', ['x', 'y', 'z'])
In [6]: NewPoint=plain_obj.new_type('Point', ['x', 'y', 'z'])
In [7]: %timeitPoint(1, 2, 3)
521ns ± 2.5nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [8]: %timeitNewPoint(1, 2, 3)
438ns ± 5.53nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [9]: p=Point(1, 2, 3)
In [10]: new_p=NewPoint(1, 2, 3)
In [11]: %timeitp.x, p.y, p.z282ns ± 2.52nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [12]: %timeitnew_p.x, new_p.y, new_p.z148ns ± 1.7nsperloop (mean ± std. dev. of7runs, 10000000loopseach)
As you can see, it's faster in all cases including type creation, object instantiation and attribute access.
Sponsor
About
A faster alternative to namedtuple.
github.com/suzaku/plain_obj
Topics
librarynamedtuplepythonpython3
Resources
Readme
MIT license
Activity
Stars
18 stars
Watchers
2 watching
Forks
0 forks
Report repository
Releases
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Used by
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GitHub - suzaku/plain_obj: A faster alternative to namedtuple. · GitHub
Skip to content
BranchesTags
Repository files navigation
plain_obj
https://travis-ci.org/suzaku/plain_obj.svg?branch=master
A faster alternative to namedtuple.
Basic Usage
Creation
importplain_objConfig=plain_obj.new_type('Config', 'is_debug, skips_dist, run_tests')
config=Config(True, False, True)
ifconfig.is_debug:
print("This is a verbose debugging message.")
Make a dict
config.as_dict()
Unpacking
is_debug, _, run_tests=config
When to use plain_obj instead of namedtuple?
When faster creation time matters to you.
Comparing plain_obj with namedtuple in Python 2.7:
In [3]: %timeitcollections.namedtuple('Point', ['x', 'y', 'z'])
1000loops, bestof3: 338µsperloopIn [4]: %timeitplain_obj.new_type('Point', ['x', 'y', 'z'])
10000loops, bestof3: 97.8µsperloopIn [5]: Point=collections.namedtuple('Point', ['x', 'y', 'z'])
In [6]: NewPoint=plain_obj.new_type('Point', ['x', 'y', 'z'])
In [7]: %timeitPoint(1, 2, 3)
Theslowestruntook7.99timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 507nsperloopIn [8]: %timeitNewPoint(1, 2, 3)
Theslowestruntook6.70timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 462nsperloopIn [9]: p=Point(1, 2, 3)
In [10]: new_p=NewPoint(1, 2, 3)
In [11]: %timeitp.x, p.y, p.zTheslowestruntook9.92timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
1000000loops, bestof3: 408nsperloopIn [12]: %timeitnew_p.x, new_p.y, new_p.zTheslowestruntook11.70timeslongerthanthefastest. Thiscouldmeanthatanintermediateresultisbeingcached.
10000000loops, bestof3: 163nsperloop
Comparing plain_obj with namedtuple in Python 3.6:
In [3]: %timeitcollections.namedtuple('Point', ['x', 'y', 'z'])
382µs ± 3.82µsperloop (mean ± std. dev. of7runs, 1000loopseach)
In [4]: %timeitplain_obj.new_type('Point', ['x', 'y', 'z'])
53.5µs ± 1.2µsperloop (mean ± std. dev. of7runs, 10000loopseach)
In [5]: Point=collections.namedtuple('Point', ['x', 'y', 'z'])
In [6]: NewPoint=plain_obj.new_type('Point', ['x', 'y', 'z'])
In [7]: %timeitPoint(1, 2, 3)
521ns ± 2.5nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [8]: %timeitNewPoint(1, 2, 3)
438ns ± 5.53nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [9]: p=Point(1, 2, 3)
In [10]: new_p=NewPoint(1, 2, 3)
In [11]: %timeitp.x, p.y, p.z282ns ± 2.52nsperloop (mean ± std. dev. of7runs, 1000000loopseach)
In [12]: %timeitnew_p.x, new_p.y, new_p.z148ns ± 1.7nsperloop (mean ± std. dev. of7runs, 10000000loopseach)
As you can see, it's faster in all cases including type creation, object instantiation and attribute access.
Sponsor
About
A faster alternative to namedtuple.
github.com/suzaku/plain_obj
Topics
librarynamedtuplepythonpython3
Resources
Readme
MIT license
Activity
Stars
18 stars
Watchers
2 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
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