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# coding=utf-8
"""This module lays out the LM network for DEL.

"""

from __future__ import print_function

from network.maps.ncr import DEL
from network.network import Network

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Deep Learning Amazon Machine Image

The Deep Learning AMIs are prebuilt with popular Deep Learning frameworks and also contain the Anaconda Platform(Python2 and Python3).

Prebuilt Deep Learning Frameworks

• MXNet: MXNet is a flexible, efficient, portable and scalable open source library for deep learning. It supports declarative and imperative programming models, across a wide

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Overview

All Indian banks support a peer-to-peer payment interface called Unified Payments Interface (UPI) on top of the Immediate Payment Service (IMPS) for national bank transfers. The remmitance is instantaneous, however each transaction is limited to a maximum of ₹100,000, which is approximately twice that of a typical middle class salary, and today 1 BTC is about ₹610,000.

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  #!/usr/bin/env python3
  """Create a TOR hidden service

    $ ./hidden_service.py [port]

  When no argument is provided, port defaults to 22.  The script creates a hidden
  service where 127.0.0.1:[port] is served over Tor.  The onion address and
  authentication cookie are printed on standard output.  The private key and the
  authentication cookie are saved in a pickle file (keys.pkl) to be reused on
  subsequent runs.

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CC              := $(shell which gcc)
CXX             := $(shell which g++)
PKGCONFIG	:= $(shell which pkg-config)

CXXSTD          := -std=c++17
OPTS            := -g -Wall -m64 $(CXXSTD)

CXXFLAGS        := $(OPTS) -pthread -fPIC $(shell $(PKGCONFIG) --cflags gandiva)
LDFLAGS         := $(shell $(PKGCONFIG) --libs gandiva)

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import logging
import dask

logger = logging.getLogger(__name__)

@dask.delayed
def times(arg, mult):
    logger.info(f"Multiplying: {arg} * {mult}")
    return arg * mult

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Top level heading

Some text

A sub-heading

Some text refering to another heading

Another sub-heading

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Quirks about id

Integers

In [1]: a = 5
In [2]: b = a
In [3]: a is b
Out[3]: True
In [4]: c = 5

In [5]: a is c

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from datetime import datetime, time

import pytest
from hypothesis import given, assume, strategies as st
from hypothesis import settings, Verbosity

_cities = [f"city{i}" for i in range(4)]

_dt = st.shared(
    st.datetimes(