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MDL-66004 mlbackend_python: Package installed on a separate server
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@@ -22,9 +22,25 @@
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* @license http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later
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*/
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$string['errornoconfigdata'] = 'The server configuration is not complete.';
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$string['errorserver'] = 'Server error {$a}';
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$string['host'] = 'Host';
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$string['hostdesc'] = 'Host';
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$string['packageinstalledshouldbe'] = '"moodlemlbackend" python package should be updated. The required version is "{$a->required}" and the installed version is "{$a->installed}"';
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$string['packageinstalledtoohigh'] = '"moodlemlbackend" python package is not compatible with this Moodle version. The required version is "{$a->required}" or higher as long as it is API-compatible. The installed version "{$a->installed}" is too high.';
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$string['pluginname'] = 'Python machine learning backend';
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$string['port'] = 'Port';
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$string['portdesc'] = 'Port';
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$string['privacy:metadata'] = 'The Python machine learning backend plugin does not store any personal data.';
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$string['pythonpackagenotinstalled'] = '"moodlemlbackend" python package is not installed or there is a problem with it. Please execute "{$a}" from command line interface for more info';
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$string['pythonpathnotdefined'] = 'The path to your executable Python binary has not been defined. Please visit "{$a}" to set it.';
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$string['serversettingsinfo'] = 'Tick "Use a server" setting to show the server settings.';
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$string['username'] = 'Username';
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$string['usernamedesc'] = 'String of characters used as a username to communicate between your Moodle server and the python server';
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$string['password'] = 'Password';
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$string['passworddesc'] = 'String of characters used as a password to communicate between your Moodle server and the python server';
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$string['secure'] = 'Use HTTPS';
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$string['securedesc'] = 'Whether to use HTTP or HTTPS';
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$string['useserver'] = 'Use a server';
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$string['useserverdesc'] = 'The machine learning backend python package is not installed in the web server but in a different server.';
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$string['tensorboardinfo'] = 'Launch TensorBoard from command line by typing tensorboard --logdir=\'{$a}\' in your web server.';
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