我正在尝试在 Google Multilingual Universal Encoder 上重现笔记本。但是，通过下载必要的库tensorflow_text：

%%capture
#@title Setup Environment
# Install the latest Tensorflow version.
!pip3 install tensorflow_text

或者

!python -m pip install tensorflow_text

我进入 jupyter：

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-48-399dd4157896> in <module>
      8 import tensorflow.compat.v2 as tf
      9 import tensorflow_hub as hub
---> 10 from tensorflow_text import SentencepieceTokenizer
     11 import sklearn.metrics.pairwise
     12 

ModuleNotFoundError: No module named 'tensorflow_text'

我尝试使用安装它python -m pip install tensorflow-text，但它给了我：

(seg_env) C:\Users\antoi\Documents\Programming\Covent Garden\Segmentation\sentiment>python -m pip install tensorflow-text …

我试图从计算机创建的 pdf 中提取文本并且它有效，但我无法从扫描的 pdf 中提取文本，您可以在此处找到，其中包含图像和几页，例如：

这是我使用的代码：

# libraries
## split
from PyPDF2 import PdfFileWriter, PdfFileReader
## read 
import sys
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.pdfpage import PDFPage
from pdfminer.converter import XMLConverter, HTMLConverter, TextConverter
from pdfminer.layout import LAParams
import io
# remove files
import os

# split in case there is several pages
def pdfspliter(filename):
    inputpdf = PdfFileReader(open(filename, "rb"))

    for i in range(inputpdf.numPages):
        output = PdfFileWriter()
        output.addPage(inputpdf.getPage(i))
        with open("document-page%s.pdf" % i, "wb") as outputStream:
            output.write(outputStream)
        pdfparser("document-page%s.pdf" % i) …

我有一个 Dialogflow 聊天机器人。在 Dialogflow 内部测试器中一切正常，但在 facebook 上显示的版本中，我无法获得卡片或建议。即使我用另一个工作聊天机器人的代码替换它们。

const functions = require('firebase-functions');
const {WebhookClient} = require('dialogflow-fulfillment');
const {Card, Suggestion, Payload} = require('dialogflow-fulfillment');
var answers = [];

process.env.DEBUG = 'dialogflow:debug'; // enables lib debugging statements

exports.dialogflowFirebaseFulfillment = functions.https.onRequest((request, response) => {
  const agent = new WebhookClient({ request, response });

  function welcome(agent) {
    agent.add('Hi! Do you want to discover your lockdown personality?');
    agent.add(new Card({
        title: '1. How has the COVID-19 crisis',
        imageUrl: 'https://ejoy-english.com/blog/wp-content/uploads/2018/08/shutterstock_524250877-e1496428580440.jpg',
        text: 'impacted the stability of your life?',
      })
    );
    agent.add(new …

我设计了自己的损失函数。但是，当尝试恢复到训练期间遇到的最佳模型时

model = load_model("lc_model.h5")

我收到以下错误：

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-105-9d09ef163b0a> in <module>
     23 
     24 # revert to the best model encountered during training
---> 25 model = load_model("lc_model.h5")

C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\saving.py in load_model(filepath, custom_objects, compile)
    417     f = h5dict(filepath, 'r')
    418     try:
--> 419         model = _deserialize_model(f, custom_objects, compile)
    420     finally:
    421         if opened_new_file:

C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\saving.py in _deserialize_model(f, custom_objects, compile)
    310                       metrics=metrics,
    311                       loss_weights=loss_weights,
--> 312                       sample_weight_mode=sample_weight_mode)
    313 
    314         # Set optimizer weights.

C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\training.py in compile(self, optimizer, loss, metrics, loss_weights, …

我有一个包含两个类的 MyFirstProgram.java 文件。我只是修改了 Path 并尝试使用java和测试文件javac。

public class MyFirstProgram{
    public static void main(String[] args){
        System.out.println("Hello ! World :)");
    }
}

但是，它返回给我：

C:\Users\antoi\Documents\Programming\Julien>java MyFirstProgram.java
Error: Could not find or load main class MyFirstProgram.java

C:\Users\antoi\Documents\Programming\Julien>javac MyFirstProgram.java
'javac' is not recognized as an internal or external command,
operable program or batch file.

这是路径：

它仅在我直接在文件夹中调用 javac 时才有效：

C:\Users\antoi\Documents\Programming\Julien>"C:\Program Files\Java\jdk-11.0.2\bin\javac" MyFirstProgram.java

C:\Users\antoi\Documents\Programming\Julien>java MyFirstProgram
Error: A JNI error has occurred, please check your installation and try again
Exception in thread "main" java.lang.UnsupportedClassVersionError: MyFirstProgram …

我正在尝试使用pdf2image，看来我需要一个叫做propeller：

(sum_env) C:\Users\antoi\Documents\Programming\projects\summarizer>python ocr.py -i fr13_idf.pdf
Traceback (most recent call last):
  File "c:\Users\antoi\Documents\Programming\projects\summarizer\sum_env\lib\site-packages\pdf2image\pdf2image.py", line 165, in __page_count
    proc = Popen(["pdfinfo", pdf_path], stdout=PIPE, stderr=PIPE)
  File "C:\Python37\lib\subprocess.py", line 769, in __init__
    restore_signals, start_new_session)
  File "C:\Python37\lib\subprocess.py", line 1172, in _execute_child
    startupinfo)
FileNotFoundError: [WinError 2] The system cannot find the file specified

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "ocr.py", line 53, in <module>
    pdfspliterimager(image_path)
  File "ocr.py", line 32, in pdfspliterimager
    pages = convert_from_path("document-page%s.pdf" …

我想将数据集类别的权重矩阵传递给神经网络。

from sklearn.utils import class_weight
class_weights = class_weight.compute_class_weight('balanced',
                                                 np.unique(y_train),
                                                 y_train)

但是我收到以下错误：

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-93-9452aecf4030> in <module>
      2 class_weights = class_weight.compute_class_weight('balanced',
      3                                                  np.unique(y_train),
----> 4                                                  y_train)

~\AppData\Roaming\Python\Python36\site-packages\sklearn\utils\class_weight.py in compute_class_weight(class_weight, classes, y)
     39 
     40     if set(y) - set(classes):
---> 41         raise ValueError("classes should include all valid labels that can "
     42                          "be in y")
     43     if class_weight is None or len(class_weight) == 0:

ValueError: classes should include all valid labels that can be in y

我不明白，这是我的y_train …

我想people_preferences根据其段获取以下数据帧的前两列中每一列的平均值Segment。

      Fun|Not-Fun              Pro-garden|Pro-home      Segment
0                          NaN                NaN       cats
1                          NaN                NaN       cats
2                         -1.0                NaN       cats

...                        ...                ...        ...
4570                      -1.0               -1.0       dogs
4571                      -1.0                1.0       dogs
4572                      -1.0                1.0       dogs

所以我尝试了people_preferences.groupby('Segment', as_index=False).mean( skipna = True)，但它返回了：UnsupportedFunctionCall: numpy operations are not valid with groupby. Use .groupby(...).mean() instead

这是完整的错误消息：

---------------------------------------------------------------------------
UnsupportedFunctionCall                   Traceback (most recent call last)
<ipython-input-489-f8da6e73c33c> in <module>
     48 pairs = list(itertools.combinations(df_features.columns, 2))
     49 
---> 50 [plot_mean(pair[0],pair[1]) for pair in pairs]
     51 
     52 …

我试图获取由 Dialogflow 聊天机器人使用完整代码构建的 javascript 数组中最常见的项目。但是，如果我可以显示数组，那么我尝试的函数似乎无法很好地找到最频繁的项目：

const functions = require('firebase-functions');
const {WebhookClient} = require('dialogflow-fulfillment');
const {Card, Suggestion} = require('dialogflow-fulfillment');
var answers = [];

process.env.DEBUG = 'dialogflow:debug'; // enables lib debugging statements

exports.dialogflowFirebaseFulfillment = functions.https.onRequest((request, response) => {
  const agent = new WebhookClient({ request, response });
  console.log('Dialogflow Request headers: ' + JSON.stringify(request.headers));
  console.log('Dialogflow Request body: ' + JSON.stringify(request.body));

  function welcome(agent) {
    agent.add(`Welcome to my agent!`);
  }

  function fallback(agent) {
    agent.add(`I didn't understand FULLFILMENT`);
    agent.add(`I'm sorry, can you try again? FULLFILMENT`);
  }

  function …

我想使用 rsync 将 Docker 映像从 Windows10 PC 传输到另一台 Fedora。我无法使用 WSL，我需要 WSL2，正如编译器所说：

ubu@DESKTOP-QL4RO3V:/mnt/c/Windows/system32$ docker images                                                                                                                                                                                      
The command 'docker' could not be found in this WSL 1 distro.                                                           
We recommend to convert this distro to WSL 2 and activate                                                               
the WSL integration in Docker Desktop settings.                                                                                                                                                                                                 
For details about using Docker Desktop with WSL 2, visit:                                                                                                                                                                                       
https://docs.docker.com/go/wsl2/ 

但我认为由于我有 Docker 桌面，它正在使用 WSL2：

但我不知道如何运行我自己使用的 wsl2 Docker。

PS C:\Users\antoi> wsl -l -v
  NAME                   STATE           VERSION
* Ubuntu                 Running         1
  docker-desktop-data    Running         2
  docker-desktop         Running         2

让是一个具有以下关系方案的数据库：R(A,B,D)并且S(A,B)在同一域中具有相同名称的属性，r并且s分别具有实例和。

一个实例 r

一个实例 s

什么是方案，什么是元组u=r÷s？如何用r和用英语定义它们s？

我的尝试

我知道

u=r÷s=

这让我认为它只会是一个 A 列的数组，但我不确定在数组中会产生什么结果。

你能帮我理解u=r÷s吗？

我发送一个请求，该请求发回如下内容：

{
    "items": [
        {
            "id": 86154,
            ...
        },
        {
            "id": 86194,
            ...
        }
}

我想在 Postman 测试部分计算这个数组的大小。所以我写道：

var body = JSON.parse(pm.response.json());
tests["Count: "  + body.items] = true;

正如您在上面看到的，它没有起作用。我对 PostMan 和 Javascript 都很陌生，这可能就是原因。

我想编写一个函数来检查字典并返回两个键（“名称”和“成本”）以获取“食物”中最大成本的记录：

[{'age': 'Dark',
  'armor': '0/1',
  'attack': 4,
  'build_time': 21,
  'cost': {'Food': 60, 'Gold': 20},
  'created_in': 'https://age-of-empires-2-api.herokuapp.com/api/v1/structure/barracks',
  'description': 'Basic infantry swordsman. Quick and cheap to create',
  'expansion': 'Age of Kings',
  'hit_points': 40,
  'id': 15,
  'line_of_sight': 4,
  'movement_rate': 0.9,
  'name': 'Militia',
  'reload_time': 2.0},
 {'age': 'Dark',
  'armor': '0/0',
  'build_time': 30,
  'cost': {'Food': 50},
  'created_in': 'https://age-of-empires-2-api.herokuapp.com/api/v1/structure/castle',
  'description': 'Cannot be produced so the cost and build time just for the sake of interest',
  'expansion': 'Age of Kings',
  'hit_points': 75,
  'id': 20,
  'line_of_sight': 6,
  'movement_rate': 1.32, …