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@@ -11,7 +11,7 @@ VoIP. The basics you need to know to get up and running are:
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like ``#matrix:matrix.org`` or ``#test:localhost:8448``.
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- Matrix user IDs look like ``@matthew:matrix.org`` (although in the future
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- you will normally refer to yourself and others using a third party identifier
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+ you will normally refer to yourself and others using a third party identifier
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(3PID): email address, phone number, etc rather than manipulating Matrix user IDs)
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The overall architecture is::
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@@ -156,8 +156,8 @@ In case of problems, please see the _Troubleshooting section below.
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Alternatively, Silvio Fricke has contributed a Dockerfile to automate the
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above in Docker at https://registry.hub.docker.com/u/silviof/docker-matrix/.
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-Also, Martin Giess has created an auto-deployment process with vagrant/ansible,
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-tested with VirtualBox/AWS/DigitalOcean - see https://github.com/EMnify/matrix-synapse-auto-deploy
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+Also, Martin Giess has created an auto-deployment process with vagrant/ansible,
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+tested with VirtualBox/AWS/DigitalOcean - see https://github.com/EMnify/matrix-synapse-auto-deploy
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for details.
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To set up your homeserver, run (in your virtualenv, as before)::
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@@ -427,7 +427,7 @@ to install using pip and a virtualenv::
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virtualenv env
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source env/bin/activate
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- python synapse/python_dependencies.py | xargs -n1 pip install
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+ python synapse/python_dependencies.py | xargs pip install
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pip install setuptools_trial mock
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This will run a process of downloading and installing all the needed
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@@ -605,8 +605,8 @@ First calculate the hash of the new password:
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$ source ~/.synapse/bin/activate
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$ ./scripts/hash_password
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- Password:
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- Confirm password:
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+ Password:
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+ Confirm password:
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$2a$12$xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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Then update the `users` table in the database:
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@@ -650,4 +650,3 @@ matrix.org on. The default setting is currently 0.1, which is probably
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around a ~700MB footprint. You can dial it down further to 0.02 if
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desired, which targets roughly ~512MB. Conversely you can dial it up if
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you need performance for lots of users and have a box with a lot of RAM.
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-
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