sent to worker pid. Custom cluster managers can use an in-memory BufferStream as the plumbing to proxy data between the custom, possibly non-IO transport and Julia's in-built parallel infrastructure. answer. It is recommended to wait for rr in a separate task instead or to use a local Channel as a proxy: p = 1 f = Future(p) errormonitor(@async put!(f, remotecall_fetch(long_computation, p))) isready(f) tags for objects which are being downloaded anyway from the server. • proxy_opts: options for connecting to the remote through a proxy. See ProxyOptions. Only present on libgit2 versions newer than or equal

sent to worker pid. Custom cluster managers can use an in-memory BufferStream as the plumbing to proxy data between the custom, possibly non-IO transport and Julia's in-built parallel infrastructure. answer. It is recommended to wait for rr in a separate task instead or to use a local Channel as a proxy: p = 1 f = Future(p) errormonitor(@async put!(f, remotecall_fetch(long_computation, p))) isready(f) tags for objects which are being downloaded anyway from the server. • proxy_opts: options for connecting to the remote through a proxy. See ProxyOptions. Only present on libgit2 versions newer than or equal

sent to worker pid. Custom cluster managers can use an in-memory BufferStream as the plumbing to proxy data between the custom, possibly non-IO transport and Julia's in-built parallel infras- tructure answer. It is recommended to wait for rr in a separate task instead or to use a local Channel as a proxy: p = 1 f = Future(p) errormonitor(@async put!(f, remotecall_fetch(long_computation, p))) isready(f) tags for objects which are being downloaded anyway from the server. • proxy_opts: options for connecting to the remote through a proxy. See ProxyOptions. Only present on libgit2 versions newer than or equal

sent to worker pid. Custom cluster managers can use an in-memory BufferStream as the plumbing to proxy data between the custom, possibly non-IO transport and Julia's in-built parallel infrastructure. answer. It is recommended to wait for rr in a separate task instead or to use a local Channel as a proxy: c = Channel(1) @async put!(c, remotecall_fetch(long_computation, p)) isready(c) # will not block tags for objects which are being downloaded anyway from the server. • proxy_opts: op�ons for connec�ng to the remote through a proxy. See ProxyOptions. Only present on libgit2 versions newer than or equal

sent to worker pid. Custom cluster managers can use an in-memory BufferStream as the plumbing to proxy data between the custom, possibly non-IO transport and Julia's in-built parallel infrastructure. answer. It is recommended to wait for rr in a separate task instead or to use a local Channel as a proxy: c = Channel(1) @async put!(c, remotecall_fetch(long_computation, p)) isready(c) # will not block tags for objects which are being downloaded anyway from the server. • proxy_opts: op�ons for connec�ng to the remote through a proxy. See ProxyOptions. Only present on libgit2 versions newer than or equal

sent to worker pid. Custom cluster managers can use an in-memory BufferStream as the plumbing to proxy data between the custom, possibly non-IO transport and Julia's in-built parallel infrastructure. answer. It is recommended to wait for rr in a separate task instead or to use a local Channel as a proxy: c = Channel(1) @async put!(c, remotecall_fetch(long_computation, p)) isready(c) # will not block tags for objects which are being downloaded anyway from the server. • proxy_opts: op�ons for connec�ng to the remote through a proxy. See ProxyOptions. Only present on libgit2 versions newer than or equal

sent to worker pid. Custom cluster managers can use an in-memory BufferStream as the plumbing to proxy data between the custom, possibly non-IO transport and Julia's in-built parallel infrastructure. answer. It is recommended to wait for rr in a separate task instead or to use a local Channel as a proxy: c = Channel(1) @async put!(c, remotecall_fetch(long_computation, p)) isready(c) # will not block tags for objects which are being downloaded anyway from the server. • proxy_opts: op�ons for connec�ng to the remote through a proxy. See ProxyOptions. Only present on libgit2 versions newer than or equal

sent to worker pid. Custom cluster managers can use an in-memory BufferStream as the plumbing to proxy data between the custom, possibly non-IO transport and Julia's in-built parallel infrastructure. answer. It is recommended to wait for rr in a separate task instead or to use a local Channel as a proxy: p = 1 f = Future(p) errormonitor(@async put!(f, remotecall_fetch(long_computation, p))) isready(f) tags for objects which are being downloaded anyway from the server. • proxy_opts: options for connecting to the remote through a proxy. See ProxyOptions. Only present on libgit2 versions newer than or equal

sent to worker pid. Custom cluster managers can use an in-memory BufferStream as the plumbing to proxy data between the custom, possibly non-IO transport and Julia's in-built parallel infrastructure. answer. It is recommended to wait for rr in a separate task instead or to use a local Channel as a proxy: p = 1 f = Future(p) errormonitor(@async put!(f, remotecall_fetch(long_computation, p))) isready(f) tags for objects which are being downloaded anyway from the server. • proxy_opts: options for connecting to the remote through a proxy. See ProxyOptions. Only present on libgit2 versions newer than or equal

sent to worker pid. Custom cluster managers can use an in-memory BufferStream as the plumbing to proxy data between the custom, possibly non-IO transport and Julia's in-built parallel infrastructure. answer. It is recommended to wait for rr in a separate task instead or to use a local Channel as a proxy: p = 1 f = Future(p) errormonitor(@async put!(f, remotecall_fetch(long_computation, p))) isready(f) tags for objects which are being downloaded anyway from the server. • proxy_opts: options for connecting to the remote through a proxy. See ProxyOptions. Only present on libgit2 versions newer than or equal