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#!/usr/bin/env python3
"""
Analyze per-layer compute (MACs) of an ONNX model by joining onnx_tool's
per-node MACs data with semantic layer names derived from weight initializers.

Usage:
    python analyze_macs.py --onnx model.onnx
    python analyze_macs.py --onnx model.onnx --input-shapes images:1x3x750x1333

Dependencies: onnx, numpy, onnx_tool

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spaCy 日语 Transformer 模型安装流程

适用于需要加载 ja_core_news_trf 的 conda 环境。

安装

conda create -n ner_exp python=3.14
conda activate ner_exp

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#!/usr/bin/env python3
"""A demo of a wall-clock-aligned, crash-resilient MP4 recorder.

Run this example with:

  python3 gst_wallclock_aligned_recorder.py --interval 10 \
      --outdir /tmp/rot

The following pipeline is similar, but is not equivalent:
```

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package main

import (
	"bytes"
	"crypto/ed25519"
	"crypto/rand"
	"crypto/x509"
	"encoding/pem"
	"fmt"
	"io"

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import gi

gi.require_version('Gst', '1.0')
from gi.repository import Gst

NAL_BREAKER = b'\x00\x00\x00\x01'


def rtspsrc_pad_added(element, pad, target):
    caps = pad.query_caps(None).to_string()

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import sys

import gi

gi.require_version('Gst', '1.0')

from gi.repository import Gst

Gst.init(None)
RTSP_VIDEO = Gst.Caps.from_string('application/x-rtp, media=(string)video')

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import argparse
import copy
import os
import pathlib
from datetime import datetime

import imgaug.augmenters as iaa
import imgaug.random as ia_random
import numpy as np
import torch

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#!/usr/local/bin/python
"""Replacement for htpasswd"""
# Original author: Eli Carter

import os
import sys
import random
from optparse import OptionParser

# We need a crypt module, but Windows doesn't have one by default.  Try to find

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secret_key = "3EEeX_v1exDXdE79CbLVDpQB4F1dmxm2cOC0eQB7Q1k="

[hops.aliyun]
ip = "112.112.112.2"
username = "kingo"

[hops.pi]
ip = "10.10.100.2"
username = "pi"

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import asyncio
import logging

from hbmqtt.client import MQTTClient, ClientException
from hbmqtt.mqtt.constants import QOS_0
from prompt_toolkit.application import Application
from prompt_toolkit.key_binding import KeyBindings
from prompt_toolkit.layout import Layout
from prompt_toolkit.widgets import Frame, TextArea
from natsort import natsorted