Standard seed creation via dice, picking bip39 words, or image entropy
Guides to creating specific instances as CTs:
You want a device, let's call it a BRoku, to route its traffic through your home IP even though it's actually physically located in someone else's house on their wifi network.
- BRoku connects over wired ethernet directly to a Raspberry Pi (3B+ or 4).
- Raspi connects to local wifi.
- Raspi's traffic is routed to a Tailscale exit node (potentially another Raspi) in your home LAN.
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from binascii import a2b_base64, unhexlify | |
from copy import deepcopy | |
from io import BytesIO | |
from embit.networks import NETWORKS | |
from embit.psbt import PSBT, OutputScope | |
# one input, one external recipient + change | |
psbt_base64 = "cHNidP8BAHECAAAAAU4T/0aX9mmNZHyKh+0AHYY+EtdJxndMRra0gn4QPCZdAQAAAAD9////Auj88QUAAAAAFgAUrME0Bwnpt7q+/5IYBvBXDGUr0FiQ0AMAAAAAABYAFGc8e3PH4CM45A3Z1h7cB0AEaAmTcAAAAE8BBDWHzwNXmUmVgAAAANRFa7R5gYD84Wbha3d1QnjgfYPOBw87on6cXS32WoyqAsPFtPxB7PRTdbujUnBPUVDh9YUBtwrl4nc0OcRNGvIyEA+4gv9UAACAAQAAgAAAAIAAAQCIAgAAAAHVNy3baqUJbmJM5kN9epW7oIqXB1O2s+Fs8julxND8ZQEAAAAXFgAUI+kCxhZQ0mdMSs6OSgKGdDKUanr9////As0uGh4BAAAAFgAUjiVTkQBkiXD8ylfqveCHXOprMQ4A4fUFAAAAABYAFFiMuj7Djc1P7mvOA8I27Lv2VmMObgAAAAEBHwDh9QUAAAAAFgAUWIy6PsONzU/ua84Dwjbsu/ZWYw4BAwQBAAAAIgYC9duqeSZYNc80SQfOc/SXZUUWqXZamBfjbIPdn18lj/cYD7iC/1QAAIABAACAAAAAgAAAAAADAAAAACICAiwV79CMgipih/G0K2ww7M7UfxxUhMPn1y52gKMFiT0nGA+4gv9UAACAAQAAgAAAAIABAAAAAAAAAAAA" | |
psbt = PSBT.parse(a2b_base64(psbt_base64)) |
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import com.essaytagger.model.BasicUser; | |
import com.essaytagger.model.Essay; | |
import com.essaytagger.server.impl.ObjectifyGenericDAO; | |
// ... | |
ObjectifyGenericDAO<BasicUser> basicUserDao = new ObjectifyGenericDAO<BasicUser>(); | |
BasicUser user = basicUserDao.get(userId); | |
ObjectifyGenericDAO<Essay> essayDao = new ObjectifyGenericDAO<Essay>(); |
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0.0% | 6.7% | done: 1, mixed: 0, queued: 0, frames: 0 | [] | |
3.8% | 10.0% | done: 1, mixed: 4, queued: 0, frames: 1 | [[0, 4, 6, 14]] | |
7.6% | 13.3% | done: 1, mixed: 12, queued: 0, frames: 2 | [[0, 4, 6, 14], [2, 3, 4, 5, 6, 9, 10, 11, 12, 13]] | |
11.4% | 16.7% | done: 1, mixed: 14, queued: 0, frames: 3 | [[0, 4, 6, 14], [2, 3, 4, 5, 6, 9, 10, 11, 12, 13], [0, 1, 2, 3, 5, 6, 7, 9, 10, 12, 13, 14]] | |
15.2% | 20.0% | done: 1, mixed: 14, queued: 0, frames: 4 | [[0, 4, 6, 14], [2, 3, 4, 5, 6, 9, 10, 11, 12, 13], [0, 2, 5, 7, 9, 10, 12, 13, 14], [1, 3, 6]] | |
19.0% | 23.3% | done: 1, mixed: 14, queued: 0, frames: 5 | [[0, 4, 6, 14], [4, 6, 9, 10, 12], [0, 2, 5, 7, 9, 10, 12, 13, 14], [1, 3, 6], [2, 3, 5, 11, 13]] | |
22.9% | 23.3% | done: 1, mixed: 14, queued: 0, frames: 6 | [[0, 4, 6, 14], [4, 6, 9, 10, 12], [0, 2, 5, 7, 9, 10, 12, 13, 14], [1, 3, 6], [2, 3, 5, 11, 13]] | |
26.7% | 26.7% | done: 1, mixed: 14, queued: 0, frames: 7 | [[0, 4, 6, 14], [4, 6, 9, 10, 12], [0, 2, 5, 7, 9, 10, 12, 13, |
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