Sergei Mironov sergei-mironov

№	Район	Название	Дома
0	Адмиралтейский	1-я Красноармейская улица	1/21А, 1/21Д, 1/21Ж, 1/21З, 1/21К, 2, 2В, 3-5-7-9А, 3-5-7-9Б, 4, 6, 6Б, 8-10, 8-10Б, 11, 11В, 12, 13, 13Б, 13В, 14, 15, 16, 18, 18Б, 20, 22, 24, 24Б
1	Адмиралтейский	10-я Красноармейская улица	3, 3б, 4, 5, 5а, 5Б, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 16А, 17, 19, 19А, 19Б1, 20, 20а, 21, 22, 23, 24, 26
2	Адмиралтейский	11-я Красноармейская улица	1, 2, 4, 5/13, 6, 7, 8, 9, 10, 11, 11А, 11В, 11Ж, 12, 13, 14, 15а, 15аБ, 15Б, 16, 18, 20, 22, 26, 28
3	Адмиралтейский	12-я Красноармейская улица	1, 2, 3, 4, 5, 6, 6Б, 6Г, 7, 8, 8Б, 8В, 10, 11, 12, 12Б, 13, 14, 14В, 15, 16Г, 16Н, 17, 19, 21, 23, 24, 25, 27, 29, 32, 33А, 34, 36, 37, 40
4	Адмиралтейский	[13-я Красноармейская улица](http://spb.ginfo.ru/ulicy

	inputs = keras.Input(shape=(784,), name='digits')
	x = layers.Dense(64, activation='relu', name='dense_1')(inputs)
	x = layers.Dense(64, activation='relu', name='dense_2')(x)
	outputs = layers.Dense(10, activation='softmax', name='predictions')(x)
	model = keras.Model(inputs=inputs, outputs=outputs)
	model.fit(...)

	from __future__ import absolute_import
	from __future__ import division
	from __future__ import print_function

	import tensorflow as tf
	import copy
	import json
	import math
	import six
	import itertools

	from __future__ import absolute_import
	from __future__ import division
	from __future__ import print_function

	import copy
	import json
	import math
	import six
	import tensorflow as tf
	import itertools

	# Instructions
	# 1. Load this file in IPython
	# 2. call `run()`
	# 3. Interrupt it with Ctrl+C
	# 4. See no global state changed

	from typing import Any,Optional
	from time import sleep

	class Model:

	import os
	import json
	os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
	import tensorflow as tf
	assert tf.version.VERSION.startswith('2.')
	gpus = tf.config.experimental.list_physical_devices('GPU')
	tf.config.experimental.set_virtual_device_configuration(
	gpus[0],
	[tf.config.experimental.VirtualDeviceConfiguration(memory_limit=5.5*1024)])

	<html>
	<head>
	<script>


	function clearclass(item, cls) {
	item.classList.remove(cls);
	}
	function setclass(item, cls) {
	item.classList.add(cls);

	attention input keep probability = 0.6
	AttentionCellWrapper added!
	W0922 22:44:48.935649 140431404037952 deprecation_wrapper.py:119] From /workspace/mironov/nl2bash/encoder_decoder/framework.py:200: The name tf.train.AdamOptimizer is deprecated. Please use tf.compat.v1.train.AdamOptimizer instead.

	W0922 22:44:58.016724 140431404037952 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/clip_ops.py:286: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
	Instructions for updating:
	Use tf.where in 2.0, which has the same broadcast rule as np.where
	W0922 22:45:20.083132 140431404037952 deprecation_wrapper.py:119] From /workspace/mironov/nl2bash/encoder_decoder/framework.py:223: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.

	Making model_dir...

	#!/bin/sh

	RELAY="$1"
	PORT="$2"

	echo -n 'nat-hole-punch' \| socat STDIN "UDP-SENDTO:$RELAY:$PORT,sourceport=$PORT"
	mosh-server new -p "$PORT" \| sed -n 's/MOSH CONNECT [0-9]\+ \(.*\)$/\1/g p'