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Volume bindings: Use this field to specify the bindings between the special folders- volumes and the folders of the computer, where the Docker daemon runs. Refer to the page Managing /etc/hosts for details. Similar to using the -p option with docker run.Įxtra hosts: This corresponds to the -add-host option.
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Port bindings: Specify the list of port bindings. This corresponds to the option -publish-all. Publish all ports: Expose all container ports to the host. This is applicable to Network mode = bridge and corresponds to the -link option. Links: Use this section to link the container to be created with the other containers. Refer to the Network settings documentation for details. Host: use the host's network stack inside the container.Ĭontainer:: use the network stack of another container, specified via its name or id. To communicate by name, they must be linked. An IP address will be allocated for container on the bridge’s network and traffic will be routed through this bridge to the container.Ĭontainers can communicate via their IP addresses by default. Network mode: corresponds to the other values of the option -net.īridge is the default value. This corresponds to -net="none", which means that inside a container the external network resources are not available.
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Speaking about the correspondence of settings with some options ( -net, -link, and so on), note that these options come from Docker command line arguments.Ĭlick to open the dialog and specify the following settings:ĭisable networking: select this checkbox to have the networking disabled. This field only appears when a Docker-based remote interpreter is selected for a project. Select this checkbox to add all source roots of your project to the environment variable PYTHONPATH Select this checkbox to add all content roots of your project to the environment variable PYTHONPATH In the Edit Path Mappings dialog, use / buttons to create new mappings, or delete the selected ones. This field appears, if a remote interpreter has been selected in the field Python interpreter.Ĭlick the browse button to define the required mappings between the local and remote paths. When this field is left blank, the bin directory of the DataSpell installation will be used. This directory may differ from the project directory. When a default run/debug configuration is created by the keyboard shortcut Ctrl+Shift+F10, or by choosing Run from the context menu of a script, the working directory is the one that contains the executable script. Specify a directory to be used by the running task. If necessary, click, and type the string in the editor. In this field, specify the command-line options to be passed to the interpreter.
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Select one of the pre-configured Python interpreters from the list. At any time, you can select all variables in the Environment Variables dialog, click Copy, and paste them into a text file. The variables will be added to the table. Just copy the list of variables from the text file and click Paste ( ) in the Environmental Variables dialog.
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You might want to populate the list with the variables stored as a series of records in a text file, for example: To create a new variable, click, and type the desired name and value. To fill in the list, click the browse button, or press Shift+Enter and specify the desired set of environment variables in the Environment Variables dialog. If the list contains several variables, they are delimited with semicolons. This field shows the list of environment variables. If there is only one open project, this field is not displayed. The environments are delimited with commas, for example, py27,p圓4.Ĭlick this list to select one of the projects, opened in the same DataSpell window, where this run/debug configuration should be used. Specify here the Python environments/interpreters, where your project will be executed. The arguments are delimited with spaces, for example, -some-arg -foo-arg. Specify the arguments that are passed to the tox.ini script.