vico

# Sebastian Raschka 09/24/2022
# Create a new conda environment and packages
#   conda create -n whisper python=3.9
#   conda activate whisper
#   conda install mlxtend -c conda-forge

# Install ffmpeg
# macOS & homebrew
#   brew install ffmpeg
# Ubuntu

vico

Content of /etc/apparmor.d/abstractions/ubuntu-helpers file for open URL from evince in Chrome (Edge does not work as expected)

# Lenient profile that is intended to be used when 'Ux' is desired but
# does not provide enough environment sanitizing. This effectively is an
# open profile that blacklists certain known dangerous files and also
# does not allow any capabilities. For example, it will not allow 'm' on files
# owned be the user invoking the program. While this provides some additional
# protection, please use with care as applications running under this profile
# are effectively running without any AppArmor protection. Use this profile

vico

import socket
import sys
from base64 import b64encode
from ftplib import FTP
from functools import wraps

_real_create_connection = socket.create_connection
_proxied_hostnames = {}  # hostname: (proxy_host, proxy_port, proxy_auth)

vico

  def forward(self, x):
    """Returns embedding vectors corresponding to input token IDs.

    Args:
      x: Tensor of token IDs.

    Returns:
      Tensor of embedding vectors.
    """
    embedded = jnp.take(self.weights, x, axis=0, mode='clip')

vico

import numpy as np

from trax import layers as tl  # core building block
from trax import shapes  # data signatures: dimensionality and type

input_vocab_size = 1
d_model = 16
n_encoder_layers = 1

x = np.array([[-2, -1, 0, 1, 2],

vico

import numpy as np

from trax import layers as tl  # core building block
from trax import shapes  # data signatures: dimensionality and type

input_vocab_size = 1
d_model = 16  # embedding dimension

x = np.array([[-2, -1, 0, 1, 2],
              [-20, -10, 0, 10, 20]])

vico

FROM nvidia/cuda:11.0-cudnn8-devel-ubuntu18.04

RUN apt-get update && apt-get install -y --no-install-recommends \
         curl \
         wget \
         ca-certificates \
         libjpeg-dev \
         libpng-dev \
         python3 python3-pip python3-setuptools

vico

/*****************************************************************************
 *                QuantCup 1:   Price-Time Matching Engine
 *
 * Submitted by: voyager
 *
 * Design Overview:
 *   In this implementation, the limit order book is represented using
 *   a flat linear array (pricePoints), indexed by the numeric price value.
 *   Each entry in this array corresponds to a specific price point and holds
 *   an instance of struct pricePoint. This data structure maintains a list