r-marques

import requests
from pycoin import encoding

HASHTOADDRESS = "https://blockchain.info/q/hashtoaddress/{}"

def text_to_address(text):
    if len(text) > 20:
        raise ValueError('Text needs to be below 20 bytes')
    else:
        text = text + ' ' * (20 - len(text))

r-marques

[diff]
    tool = pycharm
[difftool "pycharm"]
    cmd = /usr/local/bin/pycharm diff "$LOCAL" "$REMOTE" && echo "Press enter to continue..." && read
[merge]
    tool = pycharm
    keepBackup = false
[mergetool "pycharm"]
    cmd = /usr/local/bin/pycharm merge "$LOCAL" "$REMOTE" "$BASE" "$MERGED"

r-marques

Keybase proof

I hereby claim:

• I am r-marques on github.
• I am rmarques (https://keybase.io/rmarques) on keybase.
• I have a public key whose fingerprint is 49FE 5FDE EBBD 8A47 A2F0 9466 6184 CB6A 7182 8027

To claim this, I am signing this object:

r-marques

import os
import random
import time

import rethinkdb as r

from bigchaindb import Bigchain
from bigchaindb.models import Transaction
from bigchaindb.common.crypto import generate_key_pair
from bigchaindb.util import ProcessGroup

r-marques

Resources to create custom setuptools build steps for building protobuf files

• Custom build steps
• Python protobuf setup.py: Check generate_proto and build_py
• grpc_tools provided custom commands for setuptools

Example of a custom build command using grcp_tools

class CustomDevelopCommand(develop):
    def run(self):

r-marques

metadata_bank_a = {
    "main": {
        "name": "Credit Card Data Part 1",
        "dateCreated": "2021-01-07T09:45:09Z"
        "author": "Bank A",
        "license": "",
        "price": "1",
        "files": [
            {
                "index": 0,

r-marques

service_agreement_bank_a = nevermined.assets.order(
    "did:nv:36c9657aab6395d29bf9471a060b1711933193ad84c9675a38a63e09ff6d8a38",
    ServiceTypesIndices.DEFAULT_COMPUTING_INDEX,
    data_scientist_account
)

print(f"Service Agreement with Bank A: {service_agreement_bank_a}")
"Service Agreement with Bank A: 0x37de8d58f3a34a128889ac7d4f24dcc992b422feb03e4578983f931d7bb4cbfa"

r-marques

from xain_sdk import ParticipantABC, run_participant
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score


class Participant(ParticipantABC):
   def __init__(self, data):
       super().__init__()

r-marques

metadata_algorithm = {
    "main": {
        "name": "Fraud Detection Algorithm",
        "dateCreated": "2021-01-07T09:45:09Z",
        "author": "Data Scientist",
        "license": "",
        "price": "0",
        "files": [
            {
                "index": 0,

r-marques

metadata_workflow = {
    "main": {
        "name": "Creditcard Fraud workflow",
        "dateCreated": "2021-01-07T09:45:09Z",
        "author": "Data Scientist",
        "license": "",
        "price": "0",
        "type": "workflow",
        "workflow": {