| from tensorflow.keras import layers | |
| import tensorflow as tf | |
| import numpy as np | |
| video_id = tf.feature_column.categorical_column_with_identity( | |
| key="video_id", num_buckets=1000000, default_value=0 | |
| ) | |
| features = { | |
| "video_id": tf.sparse.from_dense([[2, 85, 0, 0, 0], [33, 78, 2, 73, 1]]), |
| # Copyright 2019 Google Inc. All Rights Reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| import tensorflow as tf | |
| from google.protobuf.descriptor_pb2 import FileDescriptorSet | |
| from google.protobuf.descriptor_pb2 import FileDescriptorProto | |
| import baz_pb2 | |
| def decode(x): | |
| proto = FileDescriptorProto() |
| /Library/StartUpItems | |
| /Library/LaunchAgents | |
| /Library/LaunchDaemons | |
| /System/Library/LaunchDaemons | |
| /System/Library/LaunchAgents | |
| /Users/$USER/Library/LaunchAgents | |
| /Library/PrivilegedHelperTools | |
| and "system preferences" -> login items | |
| "keychain access": unkown certificates (except the ones in "System Roots") |
| ;; Make sure to install rust-analyzer binary, otherwise lsp-mode | |
| ;; default to using rls instead of rust-analyzer. | |
| (setq gnutls-algorithm-priority "NORMAL:-VERS-TLS1.3") | |
| (require 'package) | |
| (let* ((no-ssl (and (memq system-type '(windows-nt ms-dos)) | |
| (not (gnutls-available-p)))) | |
| (proto (if no-ssl "http" "https"))) | |
| (when no-ssl |
| setInterval(() => { | |
| document.querySelector('a[action-type="feed_list_delete"]').click() | |
| document.querySelector('a[action-type="ok"]').click() | |
| }, 500) | |
| import sys | |
| import dropbox | |
| path = sys.argv[1] | |
| dbx = dropbox.Dropbox(AUTH_TOKEN, timeout=6000) # set the timeout best for you | |
| with open(path, 'rb') as f: | |
| data = f.read() | |
| dbx.files_upload( | |
| data, DROPBOX_FOLDER_NAME, dropbox.files.WriteMode.overwrite, | |
| mute=True) |
Mounting the shared path You can mount the shared folder using
mount -t 9p -o trans=virtio [mount tag] [mount point] -oversion=9p2000.L
mount tag: As specified in Qemu commandline. mount point: Path to mount point. trans: Transport method (here virtio for using 9P over virtio) version: Protocol version. By default it is 9p2000.u . Other options that can be used include:
| package types | |
| // Heap is a max heap | |
| type Heap struct { | |
| buf []int | |
| } | |
| func (h *Heap) Peak() int { | |
| return h.buf[0] | |
| } |
| package types | |
| // Note: this queue does not shrink the underlying buffer. | |
| type queue struct { | |
| buf [][4]int // change to the element data type that you need | |
| head int | |
| tail int | |
| } | |
| func (q *queue) extend(need int) { |