kopia lustrzana https://github.com/sepandhaghighi/samila
270 wiersze
8.4 KiB
Python
270 wiersze
8.4 KiB
Python
# -*- coding: utf-8 -*-
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"""Samila generative image."""
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import json
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import random
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import gc
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import itertools
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import matplotlib
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import matplotlib.pyplot as plt
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from .functions import _GI_initializer, plot_params_filter, generate_params_filter, save_params_filter
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from .functions import get_config, get_data, get_python_version
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from .functions import float_range, save_data_file, save_fig_file, save_fig_buf, save_config_file
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from .functions import load_data, load_config, random_equation_gen, nft_storage_upload
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from .functions import set_background, rotate
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from .params import *
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from warnings import warn, catch_warnings, simplefilter
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class GenerativeImage:
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"""
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Generative Image class.
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>>> def f1(x, y):
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... return random.uniform(-1, 1) * x**2 - math.sin(y**3)
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>>> def f2(x, y):
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... return random.uniform(-1, 1) * y**3 - math.cos(x**2)
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>>> GI = GenerativeImage(f1, f2)
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"""
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def __init__(self, function1=None, function2=None, data=None, config=None):
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"""
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Init method.
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:param function1: function 1
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:type function1: python or lambda function
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:param function2: function 2
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:type function2: python or lambda function
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:param data: prior generated data
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:type data: (io.IOBase & file)
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:param config: generative image config
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:type config: (io.IOBase & file)
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"""
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_GI_initializer(self, function1, function2)
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if config is not None:
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load_config(self, config)
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elif data is not None:
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load_data(self, data)
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if self.matplotlib_version != matplotlib.__version__ or \
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self.python_version != get_python_version() or \
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self.__version__ != SAMILA_VERSION:
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warn(
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VERSION_WARNING.format(
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self.matplotlib_version,
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self.python_version,
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self.__version__),
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RuntimeWarning)
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if self.function1 is None:
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if self.function1_str is None:
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self.function1_str = random_equation_gen()
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self.function1 = eval("lambda x,y:" + self.function1_str)
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if self.function2 is None:
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if self.function2_str is None:
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self.function2_str = random_equation_gen()
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self.function2 = eval("lambda x,y:" + self.function2_str)
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def generate(
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self,
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seed=None,
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start=None,
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step=None,
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stop=None):
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"""
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Generate a raw format of art.
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:param seed: random seed
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:type seed: int
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:param start: range start point
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:type start: float
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:param step: range step size
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:type step: float
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:param stop: range stop point
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:type stop: float
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:return: None
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"""
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generate_params_filter(self, seed, start, step, stop)
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self.data1 = []
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self.data2 = []
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self.missed_points_number = 0
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range1 = list(float_range(self.start, self.stop, self.step))
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range_prod = itertools.product(range1, range1)
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for point in range_prod:
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random.seed(self.seed)
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try:
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data1_ = self.function1(point[0], point[1]).real
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data2_ = self.function2(point[0], point[1]).real
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self.data1.append(data1_)
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self.data2.append(data2_)
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except Exception:
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self.missed_points_number += 1
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if len(self.data1) < (len(range1) ** 2):
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warn(CALCULATION_EXCEPTION_WARNING, RuntimeWarning)
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def plot(
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self,
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color=None,
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bgcolor=None,
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cmap=None,
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spot_size=None,
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size=None,
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projection=None,
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marker=None,
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alpha=None,
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linewidth=None,
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rotation=None):
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"""
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Plot the generated art.
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:param color: point colors
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:type color: str
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:param bgcolor: background color
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:type bgcolor: str
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:param cmap: color map
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:type cmap: matplotlib.colors.Colormap or list of colors
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:param spot_size: point spot size
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:type spot_size: float
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:param size: figure size
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:type size: tuple
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:param projection: projection type
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:type projection: str
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:param marker: marker type
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:type marker: str
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:param alpha: point transparency
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:type alpha: float
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:param linewidth: width of line
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:type linewidth: float
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:param rotation: desired rotation (in degrees)
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:type rotation: float
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:return: None
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"""
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plot_params_filter(
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self,
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color,
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bgcolor,
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cmap,
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spot_size,
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size,
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projection,
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marker,
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alpha,
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linewidth,
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rotation)
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fig = plt.figure()
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fig.set_size_inches(self.size[0], self.size[1])
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ax = fig.add_subplot(111, projection=self.projection)
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set_background(self.bgcolor, fig, ax)
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with catch_warnings():
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simplefilter("ignore")
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ax.scatter(
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self.data2,
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self.data1,
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alpha=self.alpha,
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c=self.color,
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cmap=self.cmap,
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s=self.spot_size,
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lw=self.linewidth,
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marker=self.marker)
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ax.set_axis_off()
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ax.patch.set_zorder(-1)
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ax.add_artist(ax.patch)
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ax = rotate(fig, ax, self.rotation)
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self.fig = fig
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def nft_storage(
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self,
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api_key,
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upload_data=False,
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upload_config=False,
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depth=None,
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timeout=3000):
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"""
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Upload image to nft.storage.
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:param api_key: API key
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:type api_key: str
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:param upload_data: upload data flag
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:type upload_data: bool
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:param upload_config: upload config flag
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:type upload_config: bool
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:param depth: image depth
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:type depth: float
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:param timeout: upload timeout (in seconds)
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:type timeout: int
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:return: result as dict
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"""
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save_params_filter(self, depth)
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response = save_fig_buf(self.fig, self.depth)
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if not response["status"]:
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return {"status": False, "message": response["message"]}
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buf = response["buffer"]
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response = nft_storage_upload(
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api_key=api_key,
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data=buf.getvalue(),
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timeout=timeout)
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if upload_config == False and upload_data == False:
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return response
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result = {key: {'image': value} for key, value in response.items()}
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if upload_config:
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response = nft_storage_upload(
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api_key=api_key,
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data=json.dumps(get_config(self)),
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timeout=timeout)
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for key, value in response.items():
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result[key]['config'] = value
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if upload_data:
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response = nft_storage_upload(
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api_key=api_key,
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data=json.dumps(get_data(self)),
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timeout=timeout)
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for key, value in response.items():
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result[key]['data'] = value
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return result
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def save_image(self, file_adr, depth=None):
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"""
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Save generated image.
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:param file_adr: file address
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:type file_adr: str
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:param depth: image depth
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:type depth: float
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:return: result as dict
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"""
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save_params_filter(self, depth)
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return save_fig_file(self.fig, file_adr, self.depth)
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def save_data(self, file_adr='data.json'):
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"""
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Save data into a file.
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:param file_adr: file address
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:type file_adr: str
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:return: result as dict
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"""
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return save_data_file(self, file_adr)
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def save_config(self, file_adr='config.json'):
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"""
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Save config into a file.
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:param file_adr: file address
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:type file_adr: str
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:return: result as a dict
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"""
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return save_config_file(self, file_adr)
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def __del__(self):
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"""
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Destructor.
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:return:None
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"""
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try:
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del self.data1
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del self.data2
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if self.fig is not None:
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self.fig.clf()
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plt.close(self.fig)
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gc.collect()
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except Exception:
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gc.collect()
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