RomanSteinberg

CREATE OR REPLACE FUNCTION match_documents(
    query_embedding VECTOR(1536),
    match_count INT,
    metadata_filter JSONB DEFAULT NULL,
    similarity_threshold FLOAT DEFAULT 2.0,
    target_table TEXT DEFAULT 'message_documents'
)
RETURNS TABLE(id BIGINT, content TEXT, metadata JSONB, similarity FLOAT)
LANGUAGE plpgsql
AS $$

RomanSteinberg

import json
from pathlib import Path
import pandas as pd
# from matplotlib.pyplot import plt
from matplotlib import pyplot as plt

%matplotlib inline

with Path('/home/roman/dev/vinteo/backend/measurement.json').open() as f:
    m = json.load(f)

RomanSteinberg

FROM tensorflow/tensorflow:1.15.0-gpu-py3

RUN addgroup --gid 1001 user && \
    adduser --disabled-password --gecos '' -u 1000 --gid 1001 --home /home/user recogniser

WORKDIR /home/user

RUN apt-get update && \
    apt-get -y install --no-install-recommends --no-upgrade build-essential cmake \
    libopenblas-dev liblapack-dev libx11-dev libgtk-3-dev cuda-toolkit-10-0

RomanSteinberg

from __future__ import absolute_import, division, print_function, unicode_literals
from tensorflow.keras import layers

try:
  # %tensorflow_version only exists in Colab.
  %tensorflow_version 2.x
except Exception:
  pass
import tensorflow as tf

RomanSteinberg

import redis
import json

data = {
    'foo': 'bar',
    'd': {'a': 1}
}

r = redis.StrictRedis()
r.execute_command('JSON.SET', 'doc', '.', json.dumps(data))

RomanSteinberg

import cv2
import sys
import numpy as np
import mxnet as mx

from PyQt5.QtWidgets import QApplication

QApplication(sys.argv)  # comment it

RomanSteinberg

import tensorrt as trt
import os
import torch
import onnx

TRT_LOGGER = trt.Logger(trt.Logger.WARNING)


def convert_to_trt(image_width, image_height):
    onnx_file_path = 'model.onnx'

RomanSteinberg

class Cat:
    def __init__(self):
        self.start_position = np.array([1, 1])
        self.velocity = 7
        self.reached = False
        self.room = np.array([100, 100])  # выход за границы комнаты не критичен

    def move_generator(self):
        pos = self.start_position
        while True:

RomanSteinberg

import yaml


def get_option():
    # get option from config or env or something
    return yaml.load(open('config.yaml'))['production']


def measure(method):
    # measures metrics for method

RomanSteinberg

from multiprocessing import Process, Queue, Event
from queue import Empty as QueueEmpty
from random import randint, seed
from time import monotonic as now
from datetime import timedelta

TASKS_COUNT = 12
ARRAY_SIZE = 2_000_000
POOL_SIZE = 2