{"id":875,"date":"2023-07-28T11:11:00","date_gmt":"2023-07-28T11:11:00","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%b0%d0%b2%d1%82%d0%be%d0%ba%d0%be%d1%80%d1%80%d0%b5%d0%bb%d1%8f%d1%86%d0%b8%d0%be%d0%bd%d0%bd%d1%8b%d0%b8-%d0%bf%d0%b8%d1%82%d0%be%d0%bd\/"},"modified":"2023-07-28T11:11:00","modified_gmt":"2023-07-28T11:11:00","slug":"%d0%b0%d0%b2%d1%82%d0%be%d0%ba%d0%be%d1%80%d1%80%d0%b5%d0%bb%d1%8f%d1%86%d0%b8%d0%be%d0%bd%d0%bd%d1%8b%d0%b8-%d0%bf%d0%b8%d1%82%d0%be%d0%bd","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%b0%d0%b2%d1%82%d0%be%d0%ba%d0%be%d1%80%d1%80%d0%b5%d0%bb%d1%8f%d1%86%d0%b8%d0%be%d0%bd%d0%bd%d1%8b%d0%b8-%d0%bf%d0%b8%d1%82%d0%be%d0%bd\/","title":{"rendered":"\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0430\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044e \u0432 python"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u0410\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f<\/strong> \u0438\u0437\u043c\u0435\u0440\u044f\u0435\u0442 \u0441\u0442\u0435\u043f\u0435\u043d\u044c \u0441\u0445\u043e\u0434\u0441\u0442\u0432\u0430 \u043c\u0435\u0436\u0434\u0443 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u043c \u0440\u044f\u0434\u043e\u043c \u0438 \u0435\u0433\u043e \u0437\u0430\u043f\u0430\u0437\u0434\u044b\u0432\u0430\u044e\u0449\u0435\u0439 \u0432\u0435\u0440\u0441\u0438\u0435\u0439 \u043d\u0430 \u043f\u0440\u043e\u0442\u044f\u0436\u0435\u043d\u0438\u0438 \u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u043e\u0432.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0415\u0435 \u0442\u0430\u043a\u0436\u0435 \u0438\u043d\u043e\u0433\u0434\u0430 \u043d\u0430\u0437\u044b\u0432\u0430\u044e\u0442 \u00ab\u0441\u0435\u0440\u0438\u0439\u043d\u043e\u0439 \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0435\u0439\u00bb \u0438\u043b\u0438 \u00ab\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0435\u0439 \u0441 \u0437\u0430\u043f\u0430\u0437\u0434\u044b\u0432\u0430\u043d\u0438\u0435\u043c\u00bb, \u043f\u043e\u0441\u043a\u043e\u043b\u044c\u043a\u0443 \u043e\u043d\u0430 \u0438\u0437\u043c\u0435\u0440\u044f\u0435\u0442 \u0432\u0437\u0430\u0438\u043c\u043e\u0441\u0432\u044f\u0437\u044c \u043c\u0435\u0436\u0434\u0443 \u0442\u0435\u043a\u0443\u0449\u0438\u043c\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u043c\u0438 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u0438 \u0435\u0435 \u0438\u0441\u0442\u043e\u0440\u0438\u0447\u0435\u0441\u043a\u0438\u043c\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u043c\u0438.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041a\u043e\u0433\u0434\u0430 \u0430\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f \u0432\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u043c \u0440\u044f\u0434\u0443 \u0432\u044b\u0441\u043e\u043a\u0430, \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u0441\u044f \u043b\u0435\u0433\u043a\u043e \u043f\u0440\u0435\u0434\u0441\u043a\u0430\u0437\u0430\u0442\u044c \u0431\u0443\u0434\u0443\u0449\u0438\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f, \u043f\u0440\u043e\u0441\u0442\u043e \u0441\u0441\u044b\u043b\u0430\u044f\u0441\u044c \u043d\u0430 \u043f\u0440\u043e\u0448\u043b\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f.<\/span><\/p>\n<h3> <strong>\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0430\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044e \u0432 Python<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u0440\u044f\u0434 \u0432 Python, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0439 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u0437\u0430 15 \u0440\u0430\u0437\u043d\u044b\u0445 \u043f\u0435\u0440\u0438\u043e\u0434\u043e\u0432:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define data<\/span>\nx = [22, 24, 25, 25, 28, 29, 34, 37, 40, 44, 51, 48, 47, 50, 51]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0430\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044e \u0434\u043b\u044f \u043a\u0430\u0436\u0434\u043e\u0433\u043e \u043b\u0430\u0433\u0430 \u0432\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u043c \u0440\u044f\u0434\u0443, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f <a href=\"https:\/\/www.statsmodels.org\/stable\/generated\/statsmodels.tsa.stattools.acf.html\" target=\"_blank\" rel=\"noopener noreferrer\">\u0444\u0443\u043d\u043a\u0446\u0438\u044e acf()<\/a> \u0438\u0437 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 statsmodels:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> statsmodels.api <span style=\"color: #107d3f;\">as<\/span> sm\n\n<span style=\"color: #008080;\">#calculate autocorrelations<\/span>\nsm.tsa.acf(x)\n\narray([ 1. , 0.83174224, 0.65632458, 0.49105012, 0.27863962,\n        0.03102625, -0.16527446, -0.30369928, -0.40095465, -0.45823389,\n       -0.45047733])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0418\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0430\u0446\u0438\u044f \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0430 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0430\u044f:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u0410\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f \u043f\u0440\u0438 \u0437\u0430\u0434\u0435\u0440\u0436\u043a\u0435 0 \u0440\u0430\u0432\u043d\u0430 <strong>1<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u0410\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f \u043f\u0440\u0438 \u0437\u0430\u0434\u0435\u0440\u0436\u043a\u0435 1 \u0440\u0430\u0432\u043d\u0430 <strong>0,8317<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u0410\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f \u043f\u0440\u0438 \u0437\u0430\u0434\u0435\u0440\u0436\u043a\u0435 2 \u0440\u0430\u0432\u043d\u0430 <strong>0,6563<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u0410\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f \u043f\u0440\u0438 \u0437\u0430\u0434\u0435\u0440\u0436\u043a\u0435 3 \u0440\u0430\u0432\u043d\u0430 <strong>0,4910<\/strong> .<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0418 \u0442\u0430\u043a \u0434\u0430\u043b\u0435\u0435.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u043c \u0443\u043a\u0430\u0437\u0430\u0442\u044c \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c\u044b\u0445 \u0437\u0430\u0434\u0435\u0440\u0436\u0435\u043a \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442\u0430 <strong>nlags<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>sm.tsa.acf(x, nlags= <span style=\"color: #008000;\">5<\/span> )\n\narray([1.0, 0.83174224, 0.65632458, 0.49105012, 0.27863962, 0.03102625])<\/strong><\/pre>\n<h3> <strong>\u041a\u0430\u043a \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u0430\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438 \u0432 Python<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u043c\u043e\u0436\u0435\u043c \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u0430\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438 \u0434\u043b\u044f \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0433\u043e \u0440\u044f\u0434\u0430 \u0432 Python, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f <a href=\"https:\/\/www.statsmodels.org\/dev\/generated\/statsmodels.graphics.tsaplots.plot_acf.html\" target=\"_blank\" rel=\"noopener noreferrer\">\u0444\u0443\u043d\u043a\u0446\u0438\u044e tsaplots.plot_acf()<\/a> \u0438\u0437 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 statsmodels:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">from<\/span> statsmodels.graphics <span style=\"color: #107d3f;\">import<\/span> tsaplots\n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#plot autocorrelation function<\/span>\nfig = tsaplots.plot_acf(x, lags=10)\nplt.show()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9480 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/autocorrelationpython1.png\" alt=\"\u0424\u0443\u043d\u043a\u0446\u0438\u044f \u0430\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438 \u0432 Python\" width=\"495\" height=\"343\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\u041f\u043e \u043e\u0441\u0438 X \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0435\u0442\u0441\u044f \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0437\u0430\u0434\u0435\u0440\u0436\u0435\u043a, \u0430 \u043f\u043e \u043e\u0441\u0438 Y \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0435\u0442\u0441\u044f \u0430\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f \u043f\u0440\u0438 \u044d\u0442\u043e\u043c \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u0435 \u0437\u0430\u0434\u0435\u0440\u0436\u0435\u043a. \u041f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e \u0433\u0440\u0430\u0444\u0438\u043a \u043d\u0430\u0447\u0438\u043d\u0430\u0435\u0442\u0441\u044f \u0441 \u0437\u0430\u0434\u0435\u0440\u0436\u043a\u0438 = 0, \u0430 \u0430\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f \u0432\u0441\u0435\u0433\u0434\u0430 \u0431\u0443\u0434\u0435\u0442 \u0440\u0430\u0432\u043d\u0430 <strong>1<\/strong> \u043f\u0440\u0438 \u0437\u0430\u0434\u0435\u0440\u0436\u043a\u0435 = 0.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u043c \u0443\u0432\u0435\u043b\u0438\u0447\u0438\u0442\u044c \u043f\u0435\u0440\u0432\u044b\u0435 \u043b\u0430\u0433\u0438, \u0432\u044b\u0431\u0440\u0430\u0432 \u043c\u0435\u043d\u044c\u0448\u0435\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043b\u0430\u0433\u043e\u0432 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442\u0430 <strong>lags<\/strong> :<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">from<\/span> statsmodels.graphics <span style=\"color: #107d3f;\">import<\/span> tsaplots\n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#plot autocorrelation function<\/span>\nfig = tsaplots.plot_acf(x, lags= <span style=\"color: #008000;\">5<\/span> )\nplt.show()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9481 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/autocorrelationpython2.png\" alt=\"\u041f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u0430\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438 \u0432 Python\" width=\"495\" height=\"329\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\u0412\u044b \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043e\u043a \u0438 \u0446\u0432\u0435\u0442 \u043a\u0440\u0443\u0433\u043e\u0432, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c\u044b\u0445 \u043d\u0430 \u0433\u0440\u0430\u0444\u0438\u043a\u0435, \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442\u043e\u0432 <strong>title<\/strong> \u0438 <strong>color<\/strong> :<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">from<\/span> statsmodels.graphics <span style=\"color: #107d3f;\">import<\/span> tsaplots\n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#plot autocorrelation function<\/span>\nfig = tsaplots.plot_acf(x, lags= <span style=\"color: #008000;\"><span style=\"color: #000000;\">5, color='g', title='Autocorrelation function'<\/span><\/span> <span style=\"color: #000000;\">)<\/span>\nplt.show()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9482 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/autocorrelationpython4.png\" alt=\"\u0424\u0443\u043d\u043a\u0446\u0438\u044f \u0430\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438 \u0432 Python \u0441 \u043d\u0430\u0441\u0442\u0440\u0430\u0438\u0432\u0430\u0435\u043c\u044b\u043c \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u043e\u043c\" width=\"499\" height=\"342\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><em>\u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0443\u0440\u043e\u043a\u0438 \u043f\u043e Python \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u043d\u0430\u0439\u0442\u0438 \u043d\u0430 \u044d\u0442\u043e\u0439 \u0441\u0442\u0440\u0430\u043d\u0438\u0446\u0435 .<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0410\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f \u0438\u0437\u043c\u0435\u0440\u044f\u0435\u0442 \u0441\u0442\u0435\u043f\u0435\u043d\u044c \u0441\u0445\u043e\u0434\u0441\u0442\u0432\u0430 \u043c\u0435\u0436\u0434\u0443 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u043c \u0440\u044f\u0434\u043e\u043c \u0438 \u0435\u0433\u043e \u0437\u0430\u043f\u0430\u0437\u0434\u044b\u0432\u0430\u044e\u0449\u0435\u0439 \u0432\u0435\u0440\u0441\u0438\u0435\u0439 \u043d\u0430 \u043f\u0440\u043e\u0442\u044f\u0436\u0435\u043d\u0438\u0438 \u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u043e\u0432. \u0415\u0435 \u0442\u0430\u043a\u0436\u0435 \u0438\u043d\u043e\u0433\u0434\u0430 \u043d\u0430\u0437\u044b\u0432\u0430\u044e\u0442 \u00ab\u0441\u0435\u0440\u0438\u0439\u043d\u043e\u0439 \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0435\u0439\u00bb \u0438\u043b\u0438 \u00ab\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0435\u0439 \u0441 \u0437\u0430\u043f\u0430\u0437\u0434\u044b\u0432\u0430\u043d\u0438\u0435\u043c\u00bb, \u043f\u043e\u0441\u043a\u043e\u043b\u044c\u043a\u0443 \u043e\u043d\u0430 \u0438\u0437\u043c\u0435\u0440\u044f\u0435\u0442 \u0432\u0437\u0430\u0438\u043c\u043e\u0441\u0432\u044f\u0437\u044c \u043c\u0435\u0436\u0434\u0443 \u0442\u0435\u043a\u0443\u0449\u0438\u043c\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u043c\u0438 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u0438 \u0435\u0435 \u0438\u0441\u0442\u043e\u0440\u0438\u0447\u0435\u0441\u043a\u0438\u043c\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u043c\u0438. \u041a\u043e\u0433\u0434\u0430 \u0430\u0432\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f \u0432\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u043c \u0440\u044f\u0434\u0443 \u0432\u044b\u0441\u043e\u043a\u0430, \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u0441\u044f \u043b\u0435\u0433\u043a\u043e \u043f\u0440\u0435\u0434\u0441\u043a\u0430\u0437\u0430\u0442\u044c \u0431\u0443\u0434\u0443\u0449\u0438\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f, \u043f\u0440\u043e\u0441\u0442\u043e \u0441\u0441\u044b\u043b\u0430\u044f\u0441\u044c \u043d\u0430 \u043f\u0440\u043e\u0448\u043b\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f. \u041a\u0430\u043a [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-875","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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