Menshykov ibmua

Note that this is quite incorrect, actually.

HOUSE FEATURES

Complete absence: "Indicates isolation and emotional unavailability" [1][4]. "Suggests withdrawal from social interactions and introspection" [6]. "Observed in patients with severe negative symptoms, indicating a lack of openness to others" [7]. "Strongly linked to social withdrawal and defensive behavior" [9]. "Symbolizes isolation or lack of openness" [10]. "Predictive of withdrawal" [11].

	'''
	Copyright (c) 2020 Lucas Ryan

	Permission is hereby granted, free of charge, to any person obtaining a copy
	of this software and associated documentation files (the "Software"), to deal
	in the Software without restriction, including without limitation the rights
	to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	copies of the Software, and to permit persons to whom the Software is
	furnished to do so.

	First goes 3080 Gigabyte Gaming OC, then 3080 MSI Gaming X Trio

	>> AI-Benchmark-v.0.1.2
	>> Let the AI Games begin..

	2020-11-11 17:04:23.002305: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2599990000 Hz
	2020-11-11 17:04:23.003399: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5b4a090 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
	2020-11-11 17:04:23.003415: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
	2020-11-11 17:04:23.005150: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
	2020-11-11 17:04:23.108471: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5b4c500 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:

	>> AI-Benchmark-v.0.1.2
	>> Let the AI Games begin..

	2020-11-11 16:50:17.642293: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2599990000 Hz
	2020-11-11 16:50:17.643424: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x560d110 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
	2020-11-11 16:50:17.643440: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
	2020-11-11 16:50:17.645168: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
	2020-11-11 16:50:17.767055: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x560f580 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
	2020-11-11 16:50:17.767084: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): GeForce RTX 3090, Compute Capability 8.6
	2020-11-11 16:50:17.768002: I tensorflow/core/common_ru

	# for use with https://github.com/1adrianb/face-alignment
	import cv2
	import numpy as np
	import face_alignment
	imread = cv2.imread
	_DEAFAULT_JPG_QUALITY = 99
	imwrite = partial(cv2.imwrite, params=[int(cv2.IMWRITE_JPEG_QUALITY), _DEAFAULT_JPG_QUALITY])


	fa = face_alignment.FaceAlignment(face_alignment.LandmarksType._3D, device='cuda')

	# python3 vis.py or use a jupyter notebook
	import os
	import json
	import random
	import string
	import time
	import subprocess
	from pathlib import Path
	directory = '/home/i/C/marathon/116/outs/'

	# python3 launcher.py 0 parallel 4 name
	# DO CHANGE THE DIRECTORIES TO YOURS
	# ALSO, in ' /home/i/C/marathon/116/stats" -seed '
	# /home/i/C/marathon/116/stats can be removed -- it's just for storing some additional statistics.
	from multiprocessing.pool import ThreadPool
	import os
	import sys
	import json
	import random
	import string

	/*
	g++ -std=gnu++11 -fsanitize=address -O3 Lossy2dCompression.cpp -o Lossy2dCompression &&
	java -jar tester.jar -exec "./Lossy2dCompression" -seed 9 -debug

	g++ -std=gnu++11 -include bits/stdc++.h -O3 Lossy2dCompression.cpp -o Lossy2dCompression &&
	java -jar tester.jar -exec "./Lossy2dCompression /path/to/store_result_for_seed_9 9" -seed 9 -novis

	g++ -std=gnu++11 -include bits/stdc++.h -O3 Lossy2dCompression.cpp -o Lossy2dCompression &&
	java -jar tester.jar -exec "./Lossy2dCompression /home/i/C/marathon/116/outs/a 9" -seed 9 -novis

	/*
	// By Ihor Menshykov, MIT license

	g++ sol.cpp -fsanitize=address -include bits/stdc++.h -O3 -pthread -lm -std=c++14 -o executables/executable && ulimit -Sv 1000000000000 && time ./executables/executable < ./ins/a

	time g++ sol.cpp -O3 -pthread -lm -std=c++14 -o executables/executable && ./executables/executable < ./ins/a


	time taskset --cpu-list 0 g++ sol.cpp -include bits/stdc++.h -O3 -pthread -lm -std=c++14 -o executables/executable && ulimit -Sv 1000000 &&
	time ./executables/executable < ./ins/a