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| name: "publish-branch" | |
| on: | |
| push: | |
| branches-ignore: | |
| - "master" | |
| jobs: | |
| npm-publish: | |
| name: "Publish branch" |
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| name: "publish-release" | |
| on: | |
| push: | |
| branches: | |
| - "master" | |
| - "release" | |
| jobs: | |
| npm-publish: |
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| # management secret key is NAB5rGwT4qOEB+6nLQawkTfCOV2eiFSjgQK8bfEdZXY= | |
| services: | |
| fluence-0: # /ip4/127.0.0.1/tcp/9990/ws/p2p/12D3KooWHBG9oaVx4i3vi6c1rSBUm7MLBmyGmmbHoZ23pmjDCnvK | |
| command: -f ed25519 -k 29Apzfedhw2Jxh94Jj4rNSmavQ1TkNe8ALYRA7bMegobwp423aLrURxLk32WtXgXHDqoSz7GAT9fQfoMhVd1e5Ww -m 12D3KooWFRgVmb1uWcmCbmJqLr8tBQghL6ysSpK2VyE2VZbaQ6wy -t 7770 -w 9990 --bootstraps /dns4/fluence-1/tcp/7771 /dns4/fluence-2/tcp/7772 | |
| container_name: fluence-0 | |
| environment: | |
| RUST_BACKTRACE: full | |
| RUST_LOG: info,network=trace,aquamarine=info,aquamarine::actor=info,tokio_threadpool=info,tokio_reactor=info,mio=info,tokio_io=info,soketto=info,yamux=info,multistream_select=info,libp2p_secio=info,libp2p_websocket::framed=info,libp2p_ping=info,libp2p_core::upgrade::apply=info,libp2p_kad::kbucket=info,cranelift_codegen=info,wasmer_wasi=info,async_io=info,polling=info,wasmer_interface_types_fl=info,cranelift_codegen=info,wasmer_wasi=info,async_io=info,polling=info,wasmer_interface_types_fl=info,particle_serv |
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| [package] | |
| name = "concl" | |
| version = "0.1.0" | |
| edition = "2018" | |
| [dependencies] | |
| connected-client = { git = "https://github.com/fluencelabs/fluence" } | |
| eyre = "0.6.5" | |
| maplit = "1.0.2" | |
| serde_json = "1.0.64" |
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| import "dht.aqua" | |
| import "@fluencelabs/aqua-lib/builtin.aqua" | |
| service RecordOp("op"): | |
| identity(records: []Record) -> []Record | |
| func get_result(values_result: GetValuesResult) -> []Record: | |
| records <- RecordOp.identity(values_result.result) | |
| <- records |
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| from manim import * | |
| from math import sqrt | |
| import random | |
| import networkx as nx | |
| nxgraph = nx.erdos_renyi_graph(11, 0.003) | |
| # nxgraph = nx.gnp_random_graph(50, 0.2) | |
| # nxgraph = nx.barabasi_albert_graph(50, 1) | |
| # nxgraph = nx.random_lobster(150, 0.1, 0.1) |
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