def deploy_tokens_and_fund_accounts(
    token_amount: int,
    number_of_tokens: int,
    deploy_service: BlockChainService,
    participants: typing.List[typing.Address],
    contract_manager: ContractManager,
) -> typing.List[typing.TokenAddress]:
    """ Deploy `number_of_tokens` ERC20 token instances with `token_amount` minted and
    distributed among `blockchain_services`. Optionally the instances will be registered with
    the raiden registry.

    Args:
        token_amount (int): number of units that will be created per token
        number_of_tokens (int): number of token instances that will be created
        deploy_service (BlockChainService): the blockchain connection that will deploy
        participants (list(address)): participant addresses that will receive tokens
    """
    result = list()
    for _ in range(number_of_tokens):
        token_address = deploy_contract_web3(
            CONTRACT_HUMAN_STANDARD_TOKEN,
            deploy_service.client,
            contract_manager=contract_manager,
            constructor_arguments=(token_amount, 2, "raiden", "Rd"),
        )

        result.append(token_address)

        # only the creator of the token starts with a balance (deploy_service),
        # transfer from the creator to the other nodes
        for transfer_to in participants:
            deploy_service.token(token_address).transfer(
                to_address=transfer_to, amount=token_amount // len(participants)
            )

    return result
def subset_examples(example_dict, indices_to_keep, create_new_dict=False):
    """Subsets examples in dictionary.

    :param example_dict: See doc for `write_example_file`.
    :param indices_to_keep: 1-D numpy array with indices of examples to keep.
    :param create_new_dict: Boolean flag.  If True, this method will create a
        new dictionary, leaving the input dictionary untouched.
    :return: example_dict: Same as input, but possibly with fewer examples.
    """

    error_checking.assert_is_integer_numpy_array(indices_to_keep)
    error_checking.assert_is_numpy_array(indices_to_keep, num_dimensions=1)
    error_checking.assert_is_boolean(create_new_dict)

    if not create_new_dict:
        for this_key in MAIN_KEYS:
            optional_key_missing = (
                this_key not in REQUIRED_MAIN_KEYS
                and this_key not in example_dict
            )

            if optional_key_missing:
                continue

            if this_key == TARGET_MATRIX_KEY:
                if this_key in example_dict:
                    example_dict[this_key] = (
                        example_dict[this_key][indices_to_keep, ...]
                    )
                else:
                    example_dict[TARGET_VALUES_KEY] = (
                        example_dict[TARGET_VALUES_KEY][indices_to_keep]
                    )

                continue

            if this_key == FULL_IDS_KEY:
                example_dict[this_key] = [
                    example_dict[this_key][k] for k in indices_to_keep
                ]
            else:
                example_dict[this_key] = example_dict[this_key][
                    indices_to_keep, ...]

        return example_dict

    new_example_dict = {}

    for this_key in METADATA_KEYS:
        sounding_key_missing = (
            this_key in [SOUNDING_FIELDS_KEY, SOUNDING_HEIGHTS_KEY]
            and this_key not in example_dict
        )

        if sounding_key_missing:
            continue

        if this_key == TARGET_NAMES_KEY:
            if this_key in example_dict:
                new_example_dict[this_key] = example_dict[this_key]
            else:
                new_example_dict[TARGET_NAME_KEY] = example_dict[
                    TARGET_NAME_KEY]

            continue

        new_example_dict[this_key] = example_dict[this_key]

    for this_key in MAIN_KEYS:
        optional_key_missing = (
            this_key not in REQUIRED_MAIN_KEYS
            and this_key not in example_dict
        )

        if optional_key_missing:
            continue

        if this_key == TARGET_MATRIX_KEY:
            if this_key in example_dict:
                new_example_dict[this_key] = (
                    example_dict[this_key][indices_to_keep, ...]
                )
            else:
                new_example_dict[TARGET_VALUES_KEY] = (
                    example_dict[TARGET_VALUES_KEY][indices_to_keep]
                )

            continue

        if this_key == FULL_IDS_KEY:
            new_example_dict[this_key] = [
                example_dict[this_key][k] for k in indices_to_keep
            ]
        else:
            new_example_dict[this_key] = example_dict[this_key][
                indices_to_keep, ...]

    return new_example_dict