Update(blocks): python新增plot_cla图形块，多语言将在稳定后进行
This commit is contained in:
王立帮
@@ -1560,4 +1560,15 @@ export const dataframe_aggregate_func = {
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this.setInputsInline(true);
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this.setTooltip('');
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}
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}
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}
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export const plot_cla = {
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init: function () {
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this.setColour(DATA_HUE);
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this.appendDummyInput()
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.appendField('清除已有图像');
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this.setInputsInline(true);
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this.setPreviousStatement(true);
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this.setNextStatement(true);
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}
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};
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@@ -280,156 +280,156 @@ export const array_toarray = function (_, generator) {
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}
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export const plot_show = function (_, generator) {
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generator.definitions_.import_matplotlib_pyplot = "import matplotlib.pyplot";
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var code = 'matplotlib.pyplot.show()\n';
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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var code = 'plt.show()\n';
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return code;
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}
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export const plot_axes = function (_, generator) {
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generator.definitions_.import_matplotlib_pyplot = "import matplotlib.pyplot";
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var code = 'matplotlib.pyplot.axes(aspect=1)\n';
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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var code = 'plt.axes(aspect=1)\n';
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return code;
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}
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export const plot_plot_easy = function (_, generator) {
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generator.definitions_.import_matplotlib_pyplot = "import matplotlib.pyplot";
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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var varName = generator.valueToCode(this, 'SER', generator.ORDER_ASSIGNMENT) || '0';
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var code = 'matplotlib.pyplot.plot(' + varName + ")\n";
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var code = 'plt.plot(' + varName + ")\n";
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return code;
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}
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export const plot_plot = function (_, generator) {
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generator.definitions_.import_matplotlib_pyplot = "import matplotlib.pyplot";
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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var line = this.getFieldValue('LINE');
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var color = this.getFieldValue('COLOR');
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var dot = this.getFieldValue('DOT');
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var varName = generator.valueToCode(this, 'SER', generator.ORDER_ASSIGNMENT) || '0';
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var code = 'matplotlib.pyplot.plot(' + varName + ",'" + dot + line + color + "')\n";
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var code = 'plt.plot(' + varName + ", '" + dot + line + color + "')\n";
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return code;
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}
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export const plot_legend = function (_, generator) {
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generator.definitions_.import_matplotlib_pyplot = "import matplotlib.pyplot";
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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generator.definitions_.import_matplotlib_font_manager = "import matplotlib.font_manager";
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var code = 'matplotlib.pyplot.legend(' + 'prop=matplotlib.font_manager.FontProperties("' + "STSong" + '")' + ')\n';
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var code = 'plt.legend(' + 'prop=matplotlib.font_manager.FontProperties("' + "STSong" + '")' + ')\n';
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return code;
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}
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export const plot_title = function (_, generator) {
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generator.definitions_.import_matplotlib_pyplot = "import matplotlib.pyplot";
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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var a = generator.valueToCode(this, 'TITLE', generator.ORDER_ATOMIC);
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var code = 'matplotlib.pyplot.title(' + a + ', fontproperties = "' + "STSong" + '")\n';
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var code = 'plt.title(' + a + ', fontproperties="' + "STSong" + '")\n';
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return code;
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}
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export const plot_label = function (_, generator) {
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generator.definitions_.import_matplotlib_pyplot = "import matplotlib.pyplot";
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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var direction = this.getFieldValue('DIR');
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var a = generator.valueToCode(this, 'LABEL', generator.ORDER_ATOMIC);
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var code = 'matplotlib.pyplot.' + direction + 'label(' + a + ', fontproperties = "' + "STSong" + '")\n';
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var code = 'plt.' + direction + 'label(' + a + ', fontproperties="' + "STSong" + '")\n';
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return code;
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}
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export const plot_plot_bar = function (_, generator) {
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generator.definitions_.import_matplotlib_pyplot = "import matplotlib.pyplot";
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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var direction = this.getFieldValue('DIR');
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var a = generator.valueToCode(this, 'A', generator.ORDER_ATOMIC) || '\'\'';
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var b = generator.valueToCode(this, 'B', generator.ORDER_ATOMIC) || '\'\'';
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var code = 'matplotlib.pyplot.' + direction + '(' + a + ',' + b + ")\n";
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var code = 'plt.' + direction + '(' + a + ', ' + b + ")\n";
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return code;
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}
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export const plot_plot_scatter = function (_, generator) {
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generator.definitions_.import_matplotlib_pyplot = "import matplotlib.pyplot";
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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var a = generator.valueToCode(this, 'A', generator.ORDER_ATOMIC) || '\'\'';
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var b = generator.valueToCode(this, 'B', generator.ORDER_ATOMIC) || '\'\'';
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var s = generator.valueToCode(this, 'S', generator.ORDER_ATOMIC) || '\'\'';
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var color = this.getFieldValue('COLOR');
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var dot = this.getFieldValue('DOT');
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var tag = generator.valueToCode(this, 'TAG', generator.ORDER_ATOMIC) || '\'\'';
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var code = 'matplotlib.pyplot.scatter(' + a + ',' + b + ",s=" + s + ",c='" + color + "',marker='" + dot + "',label=" + tag + ")\n";
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var code = 'plt.scatter(' + a + ', ' + b + ", s=" + s + ", c='" + color + "', marker='" + dot + "', label=" + tag + ")\n";
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return code;
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}
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export const plot_plot_xy = function (_, generator) {
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generator.definitions_.import_matplotlib_pyplot = "import matplotlib.pyplot";
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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var a = generator.valueToCode(this, 'A', generator.ORDER_ATOMIC) || '\'\'';
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var b = generator.valueToCode(this, 'B', generator.ORDER_ATOMIC) || '\'\'';
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var line = this.getFieldValue('LINE');
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var color = this.getFieldValue('COLOR');
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var dot = this.getFieldValue('DOT');
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var tag = generator.valueToCode(this, 'TAG', generator.ORDER_ATOMIC) || '\'\'';
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var code = 'matplotlib.pyplot.plot(' + a + ',' + b + ",'" + dot + line + color + "'" + ',label=' + tag + ")\n";
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var code = 'plt.plot(' + a + ', ' + b + ", '" + dot + line + color + "'" + ', label=' + tag + ")\n";
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return code;
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}
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export const plot_bar = function (_, generator) {
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generator.definitions_.import_matplotlib_pyplot = "import matplotlib.pyplot";
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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var a = generator.valueToCode(this, 'A', generator.ORDER_ATOMIC) || '\'\'';
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var b = generator.valueToCode(this, 'B', generator.ORDER_ATOMIC) || '\'\'';
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var tag = generator.valueToCode(this, 'TAG', generator.ORDER_ATOMIC) || '\'\'';
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var width = generator.valueToCode(this, 'WIDTH', generator.ORDER_RELATIONAL) || '0';
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var color = this.getFieldValue('COLOR')
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var align = this.getFieldValue('ALIGN');
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var code = 'matplotlib.pyplot.bar(' + a + ',' + b + ',align="' + align + '",color="' + color + '",width=' + width + ',label=' + tag + ")\n";
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var code = 'plt.bar(' + a + ', ' + b + ', align="' + align + '", color="' + color + '", width=' + width + ', label=' + tag + ")\n";
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return code;
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}
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export const plot_pie = function (_, generator) {
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generator.definitions_.import_matplotlib_pyplot = "import matplotlib.pyplot";
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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var a = generator.valueToCode(this, 'A', generator.ORDER_ATOMIC) || '\'\'';
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var b = generator.valueToCode(this, 'B', generator.ORDER_ATOMIC) || '\'\'';
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var explode = generator.valueToCode(this, 'EXPLODE', generator.ORDER_ATOMIC) || '\'\'';
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var shadow = this.getFieldValue('SHADOW');
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var autopct = this.getFieldValue('autopct');
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if (autopct != 'None') { autopct = "'" + autopct + "'" }
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var code = 'matplotlib.pyplot.pie(' + a + ',explode=' + explode + ',labels=' + b + ',autopct=' + autopct + ',shadow=' + shadow + ")\n";
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var code = 'plt.pie(' + a + ', explode=' + explode + ', labels=' + b + ', autopct=' + autopct + ', shadow=' + shadow + ")\n";
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return code;
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}
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export const plot_hist = function (_, generator) {
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generator.definitions_.import_matplotlib_pyplot = "import matplotlib.pyplot";
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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var a = generator.valueToCode(this, 'A', generator.ORDER_ATOMIC) || '\'\'';
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var b = generator.valueToCode(this, 'B', generator.ORDER_ATOMIC) || '\'\'';
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var code = 'matplotlib.pyplot.hist(' + a + ',' + b + ")\n";
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var code = 'plt.hist(' + a + ', ' + b + ")\n";
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return code;
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}
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export const plot_ticks = function (_, generator) {
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generator.definitions_.import_matplotlib_pyplot = "import matplotlib.pyplot";
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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var direction = this.getFieldValue('DIR');
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var a = generator.valueToCode(this, 'A', generator.ORDER_ATOMIC) || '\'\'';
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var b = generator.valueToCode(this, 'B', generator.ORDER_ATOMIC) || '\'\'';
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var code = 'matplotlib.pyplot.' + direction + 'ticks(' + a + ',' + b + ",fontproperties = '" + "STSong" + "')\n";
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var code = 'plt.' + direction + 'ticks(' + a + ', ' + b + ", fontproperties = '" + "STSong" + "')\n";
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return code;
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}
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export const plot_subplot = function (_, generator) {
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generator.definitions_.import_numpy = "import numpy";
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generator.definitions_.import_matplotlib_pyplot = "import matplotlib.pyplot";
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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var from = generator.valueToCode(this, "VET", generator.ORDER_NONE) || "0";
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var end = generator.valueToCode(this, "HOR", generator.ORDER_NONE) || "0";
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var step = generator.valueToCode(this, "NUM", generator.ORDER_NONE) || "0";
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var code = "matplotlib.pyplot.subplot(" + from + ", " + end + ", " + step + ")\n";
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var code = "plt.subplot(" + from + ", " + end + ", " + step + ")\n";
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return code
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}
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export const plot_savefig = function (_, generator) {
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generator.definitions_.import_matplotlib_pyplot = "import matplotlib.pyplot";
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var code = "matplotlib.pyplot.savefig('1.png')\n";
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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var code = "plt.savefig('1.png')\n";
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return code;
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}
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export const plot_text = function (_, generator) {
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generator.definitions_.import_numpy = "import numpy";
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generator.definitions_.import_matplotlib_pyplot = "import matplotlib.pyplot";
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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var from = generator.valueToCode(this, "VET", generator.ORDER_NONE) || "0";
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var end = generator.valueToCode(this, "HOR", generator.ORDER_NONE) || "0";
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var step = generator.valueToCode(this, "NUM", generator.ORDER_NONE) || "0";
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var halign = this.getFieldValue('HALIGN');
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var valign = this.getFieldValue('VALIGN');
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var fontnum = generator.valueToCode(this, 'FONTNUM', generator.ORDER_ASSIGNMENT) || '0';
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var code = "matplotlib.pyplot.text(" + from + ", " + end + ", " + step + ", ha='" + halign + "', va='" + valign + "', fontsize=" + fontnum + ")\n";
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var code = "plt.text(" + from + ", " + end + ", " + step + ", ha='" + halign + "', va='" + valign + "', fontsize=" + fontnum + ")\n";
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return code
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}
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@@ -681,4 +681,10 @@ export const dataframe_aggregate_func = function (block, generator) {
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const type = block.getFieldValue('TYPE');
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const code = `${dict}.${type}()`;
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return [code, generator.ORDER_ATOMIC];
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}
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export const plot_cla = function (_, generator) {
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generator.definitions_.import_matplotlib_pyplot = 'import matplotlib.pyplot as plt';
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var code = 'plt.cla()\n';
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return code;
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}
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@@ -2740,13 +2740,6 @@
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</shadow>
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</value>
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</block>
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<block type="pylab_imshow">
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<value name="ARRAY">
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<shadow type="variables_get">
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<field name="VAR">myArray</field>
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</shadow>
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</value>
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</block>
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<block type="series_create">
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<value name="SER">
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<shadow type="variables_get">
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@@ -2924,21 +2917,21 @@
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</block>
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</value>
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</block>
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<block type="pl_plot_easy">
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<block type="plot_plot_easy">
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<value name="SER">
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<shadow type="variables_get">
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<field name="VAR">ser1</field>
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</shadow>
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</value>
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</block>
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<block type="pl_plot">
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<block type="plot_plot">
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<value name="SER">
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<shadow type="variables_get">
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<field name="VAR">ser1</field>
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</shadow>
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</value>
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</block>
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<block type="pl_plot_bar">
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<block type="plot_plot_bar">
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<value name="A">
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<shadow type="list_many_input">
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<field name="CONTENT">1,2,3,4</field>
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@@ -2950,7 +2943,7 @@
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</shadow>
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</value>
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</block>
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<block type="pl_plot_scatter">
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<block type="plot_plot_scatter">
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<value name="A">
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<shadow type="list_many_input">
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<field name="CONTENT">1,2,3,4</field>
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@@ -2972,7 +2965,7 @@
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</shadow>
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</value>
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</block>
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<block type="pl_plot_xy">
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<block type="plot_plot_xy">
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<value name="A">
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<shadow type="list_many_input">
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<field name="CONTENT">1,2,3,4</field>
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@@ -2989,7 +2982,7 @@
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</shadow>
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</value>
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</block>
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<block type="pl_bar">
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<block type="plot_bar">
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<value name="A">
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<shadow type="list_many_input">
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<field name="CONTENT">1,2,3,4</field>
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@@ -3011,7 +3004,7 @@
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</shadow>
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</value>
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</block>
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<block type="pl_pie">
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<block type="plot_pie">
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<value name="A">
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<shadow type="list_many_input">
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<field name="CONTENT">0.25,0.35,0.1,0.3</field>
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@@ -3028,7 +3021,7 @@
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</shadow>
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</value>
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</block>
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<block type="pl_hist">
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<block type="plot_hist">
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<value name="A">
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<shadow type="list_many_input">
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<field name="CONTENT">11,21,31,41,51,61,71,81,91</field>
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@@ -3040,8 +3033,9 @@
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</shadow>
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</value>
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</block>
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<block type="pl_show"></block>
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<block type="pl_subplot">
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<block type="plot_show"></block>
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<block type="plot_cla"></block>
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<block type="plot_subplot">
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<value name="VET">
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<shadow type="math_number">
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<field name="NUM">2</field>
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@@ -3058,23 +3052,23 @@
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</shadow>
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</value>
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</block>
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<block type="pl_axes"></block>
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<block type="pl_legend"></block>
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<block type="pl_title">
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<block type="plot_axes"></block>
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<block type="plot_legend"></block>
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<block type="plot_title">
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<value name="TITLE">
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<shadow type="text">
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<field name="TEXT">Title</field>
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</shadow>
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</value>
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</block>
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<block type="pl_label">
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<block type="plot_label">
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<value name="LABEL">
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<shadow type="text">
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<field name="TEXT">axis</field>
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</shadow>
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</value>
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</block>
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<block type="pl_ticks">
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<block type="plot_ticks">
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<value name="A">
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<shadow type="list_many_input">
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<field name="CONTENT">1,2,3,4</field>
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@@ -3086,7 +3080,7 @@
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</shadow>
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</value>
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</block>
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<block type="pl_text">
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<block type="plot_text">
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<value name="VET">
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<shadow type="math_number">
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<field name="NUM">1</field>
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@@ -3108,7 +3102,7 @@
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</shadow>
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</value>
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</block>
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<block type="pl_savefig">
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<block type="plot_savefig">
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<value name="FILE">
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<shadow type="text">
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<field name="TEXT">1.png</field>
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@@ -175,6 +175,9 @@ class PythonShell {
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if (code.indexOf('import turtle') !== -1) {
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code += '\nturtle.done()\n';
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}
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if (code.indexOf('import matplotlib.pyplot') !== -1) {
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code += '\nplt.clf()\n';
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}
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this.#statusBarsManager_.changeTo('output');
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this.#statusBarsManager_.show();
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this.#statusBarTerminal_.setValue(`${Msg.Lang['shell.running']}...\n`);
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@@ -214,6 +214,9 @@
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</block>
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<block type="controls_millis"></block>
|
||||
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@@ -2453,7 +2456,97 @@
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|
||||
</block>
|
||||
<block type="sklearn_data_target">
|
||||
<value name="name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">iris</field>
|
||||
</shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_train_test_split">
|
||||
<value name="train_data">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">iris_X</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="train_target">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">iris_y</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="test_size">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">0.3</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="rondom_state">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_LinearRegression">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="fit_intercept">
|
||||
<shadow type="logic_boolean">
|
||||
<field name="BOOL">TRUE</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="normalize">
|
||||
<shadow type="logic_boolean">
|
||||
<field name="BOOL">FALSE</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="n_jobs">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_Ridge">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="alpha">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">1.0</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="fit_intercept">
|
||||
<shadow type="logic_boolean">
|
||||
<field name="BOOL">TRUE</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="normalize">
|
||||
<shadow type="logic_boolean">
|
||||
<field name="BOOL">FALSE</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="max_iter">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">300</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="random_state">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_DecisionTreeClassifier_Regressor">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="max_depth">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="random_state">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_RandomForestClassifier_Regressor">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="n_estimators">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">100</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="max_depth">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="n_jobs">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="random_state">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_KNeighborsClassifier_Regressor">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="K">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">5</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="n_jobs">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_GaussianNB">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_KMeans">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="n_clusters">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">8</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="max_iter">
|
||||
<shadow type="math_number">
|
||||
<field name="NUM">300</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="random_state">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
<value name="n_jobs">
|
||||
<shadow type="logic_null"></shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_fit">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="train_data">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">X_train</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="train_target">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">y_train</field>
|
||||
</shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_score">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="train_data">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">X_test</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="train_target">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">y_test</field>
|
||||
</shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_predict">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="train_data">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">X_test</field>
|
||||
</shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_coef_intercept">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_cluster_centers_labels_inertia">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
</block>
|
||||
<block type="sklearn_save_load_model">
|
||||
<value name="model_name">
|
||||
<shadow type="variables_get">
|
||||
<field name="VAR">model</field>
|
||||
</shadow>
|
||||
</value>
|
||||
<value name="address">
|
||||
<shadow type="text">
|
||||
<field name="TEXT">D:/mixly/test.pkl</field>
|
||||
</shadow>
|
||||
</value>
|
||||
</block>
|
||||
</category>
|
||||
</xml>
|
||||
Reference in New Issue
Block a user