Reproducibility Feature by Adding `python_version` (#172)

* add : `python_version` added.

* test : tests added.

* log : changes logged. (#171)

* fix : minor issues fixed.

* test : new test added for python version.

* fix : typo fixed in `genimage.py`.

* update : tests updated.
pull/173/head
Sadra Sabouri 2023-01-06 10:36:21 +03:30 zatwierdzone przez GitHub
rodzic 7e66936dc2
commit a9e23235b2
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ID klucza GPG: 4AEE18F83AFDEB23
7 zmienionych plików z 49 dodań i 8 usunięć

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@ -5,6 +5,8 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/)
and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.html).
## [Unreleased]
### Added
- `python_version` attribute
## [1.0] - 2022-12-14
### Added
- `Marker` enum

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@ -1,6 +1,7 @@
# -*- coding: utf-8 -*-
"""Samila functions."""
import sys
import requests
import io
import os
@ -438,6 +439,7 @@ def _GI_initializer(g, function1, function2):
:return: None
"""
g.matplotlib_version = matplotlib.__version__
g.python_version = get_python_version()
g.function1 = function1
g.function1_str = None
g.function2 = function2
@ -515,6 +517,19 @@ def save_data_file(g, file_adr):
return result
def get_python_version():
"""
Get Python's version.
:return: python's version as 'major.minor.micro'
"""
return "{}.{}.{}".format(
sys.version_info.major,
sys.version_info.minor,
sys.version_info.micro
)
def get_data(g):
"""
Return data.
@ -524,6 +539,7 @@ def get_data(g):
:return: data as a dict
"""
matplotlib_version = matplotlib.__version__
python_version = get_python_version()
data = {}
if g.data1 is None or g.data2 is None:
raise samilaDataError(SAVE_NO_DATA_ERROR)
@ -541,6 +557,7 @@ def get_data(g):
"depth": g.depth
}
data['matplotlib_version'] = matplotlib_version
data['python_version'] = python_version
return data
@ -553,6 +570,7 @@ def get_config(g):
:return: config as a dict
"""
matplotlib_version = matplotlib.__version__
python_version = get_python_version()
config = {}
if g.function1_str is None or g.function2_str is None:
raise samilaConfigError(CONFIG_NO_STR_FUNCTION_ERROR)
@ -576,6 +594,7 @@ def get_config(g):
"depth": g.depth
}
config['matplotlib_version'] = matplotlib_version
config['python_version'] = python_version
return config
@ -747,6 +766,8 @@ def load_data(g, data):
raise samilaDataError(DATA_FORMAT_ERROR)
if 'matplotlib_version' in data:
g.matplotlib_version = data['matplotlib_version']
if 'python_version' in data:
g.python_version = data['python_version']
plot_config = data.get("plot")
if plot_config is not None:
g.color = plot_config.get("color", DEFAULT_COLOR)
@ -780,6 +801,8 @@ def load_config(g, config):
raise samilaConfigError(CONFIG_FORMAT_ERROR)
if 'matplotlib_version' in data:
g.matplotlib_version = data['matplotlib_version']
if 'python_version' in data:
g.python_version = data['python_version']
generate_config = data.get("generate")
if generate_config is not None:
g.seed = generate_config.get("seed")

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@ -7,7 +7,7 @@ import itertools
import matplotlib
import matplotlib.pyplot as plt
from .functions import _GI_initializer, plot_params_filter, generate_params_filter, save_params_filter
from .functions import get_config, get_data
from .functions import get_config, get_data, get_python_version
from .functions import float_range, save_data_file, save_fig_file, save_fig_buf, save_config_file
from .functions import load_data, load_config, random_equation_gen, nft_storage_upload
from .functions import set_background
@ -44,10 +44,12 @@ class GenerativeImage:
load_config(self, config)
elif data is not None:
load_data(self, data)
if self.matplotlib_version != matplotlib.__version__:
if self.matplotlib_version != matplotlib.__version__ or \
self.python_version != get_python_version():
warn(
MATPLOTLIB_VERSION_WARNING.format(
self.matplotlib_version),
VERSION_WARNING.format(
self.matplotlib_version,
self.python_version),
RuntimeWarning)
if self.function1 is None:
if self.function1_str is None:

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@ -47,7 +47,7 @@ PLOT_DATA_ERROR = "Plotting process can't be Done because data{0} is empty. Use
COLOR_SIZE_ERROR = "Color list size is not equal to the data size."
SAVE_NO_DATA_ERROR = "Data file can't be saved. At least one of the data1 or data2 is None."
INVALID_COLOR_TYPE_ERROR = "Given color/bgcolor type is not supported."
MATPLOTLIB_VERSION_WARNING = "Source matplotlib version({0}) is different from yours, plots may be different."
VERSION_WARNING = "Source matplotlib version({0}) or Python version({1}) is different from yours, plots may be different."
CALCULATION_EXCEPTION_WARNING = "The given functions are undefined at some points. Your plot may not be complete."
BOTH_COLOR_COMPLEMENT_WARNING = "It is not possible to set color and bgcolor to 'complement' at the same time! Both are automatically set to the previous or default selection."
COLOR_NOT_FOUND_WARNING = "color '{0}' not found. Replacing it with '{1}'"

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@ -1,6 +1,7 @@
# -*- coding: utf-8 -*-
"""
>>> import random
>>> import sys
>>> from samila.functions import *
>>> is_valid_color("blue")
True
@ -90,6 +91,8 @@ False
1
>>> distance_calc("test12","test234")
3
>>> get_python_version() == sys.version.split()[0]
True
>>> samila_help()
<BLANKLINE>
Samila is a generative art generator written in Python, Samila let's you

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@ -6,6 +6,7 @@
>>> import pickle
>>> import socket
>>> import json
>>> import sys
>>> from matplotlib.colors import Colormap, ListedColormap
>>> def guard(*args, **kwargs):
... raise Exception("No internet connection!")
@ -23,6 +24,8 @@
True
>>> g.function2 == f2
True
>>> g.python_version == sys.version.split()[0]
True
>>> g.fig
>>> g.generate()
>>> isinstance(g.data1, list)

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@ -13,12 +13,20 @@ True
>>> g_.data2 == g.data2
True
>>> with open('data.json', 'w') as fp:
... json.dump({'data1': [0], 'data2': [0], 'python_version': '0'}, fp)
>>> with warns(RuntimeWarning, match=r"Source matplotlib version(.*) or Python version(.*) is different from yours, plots may be different."):
... g = GenerativeImage(data=open('data.json', 'r'))
>>> with open('config.json', 'w') as fp:
... json.dump({'f1': 'x', 'f2': 'y', 'python_version': '0'}, fp)
>>> with warns(RuntimeWarning, match=r"Source matplotlib version(.*) or Python version(.*) is different from yours, plots may be different."):
... g = GenerativeImage(config=open('config.json', 'r'))
>>> with open('data.json', 'w') as fp:
... json.dump({'data1': [0], 'data2': [0], 'matplotlib_version': '0'}, fp)
>>> with warns(RuntimeWarning, match=r"Source matplotlib version(.*) is different from yours, plots may be different."):
... g = GenerativeImage(lambda x,y: 0, lambda x,y: 0, data=open('data.json', 'r'))
>>> with warns(RuntimeWarning, match=r"Source matplotlib version(.*) or Python version(.*) is different from yours, plots may be different."):
... g = GenerativeImage(data=open('data.json', 'r'))
>>> with open('config.json', 'w') as fp:
... json.dump({'f1': 'x', 'f2': 'y', 'matplotlib_version': '0'}, fp)
>>> with warns(RuntimeWarning, match=r"Source matplotlib version(.*) is different from yours, plots may be different."):
>>> with warns(RuntimeWarning, match=r"Source matplotlib version(.*) or Python version(.*) is different from yours, plots may be different."):
... g = GenerativeImage(config=open('config.json', 'r'))
>>> g = GenerativeImage(lambda x, y: 1 / x, lambda x, y: 1 / (y - 1))
>>> with warns(RuntimeWarning, match=r"The given functions are undefined at some points. Your plot may not be complete."):