AI Tools
Search icon
Text Tools
AI Chat

Open Chat AI

Experiment to see what AI can do for you.

1

Your prompt

Powered by a state-of-the-art AI transformer

Est. compute time:
Est. cost:
0 Create CreditsCheckmark icon
Start a free trial for 100 free AI credits.
AI Chat API
Examples
Explain the set of git commands to create a branch, make a commit, pull and merge changes from master, and make a pull request to master.

Here is the set of Git commands to achieve these tasks:

  1. Create a branch: You can create a branch using the git branch command followed by the name of the branch. For example, to create a branch named 'new-feature', you'd use this command:
git branch new-feature

Then you switch to the new branch using the git checkout command:

git checkout new-feature
  1. Make a commit: First, you should stage your changes using the git add command:
git add .

After staging, you can commit your changes using git commit followed by the commit message:

git commit -m "Implement new feature"
  1. Pull and merge changes from master: First, you need to switch back to the master branch:
git checkout master

Then, you can pull the latest changes from the remote repository:

git pull origin master

After that, switch back to your branch:

git checkout new-feature

And then merge the changes from the master branch into your branch:

git merge master

If there are any merge conflicts, you need to resolve them manually. After resolving any conflicts, you would add and commit the changes again using git add . or git add {specific file} and git commit -m "Resolved merge conflicts".

  1. Make a pull request to master: First, you need to push your branch to the remote repository:
git push origin new-feature

Then, you can make a pull request. This step is not done through the command line; rather, you have to navigate to the repository on the GitHub website. From there, you click 'New pull request', then you select your branch and complete the remaining steps to create the pull request.

1
Write a python function: generate_pdf_from_image_urls

The function generate_pdf_from_image_urls will take a list of image URLs, convert each image into a PDF file and merge them into one.

Here is an example which uses the PIL library for image processing, the requests library for fetching the image from the URL, and the FPDF library for generating the PDF file:

from PIL import Image
import requests
import io
from fpdf import FPDF

def generate_pdf_from_image_urls(image_urls, output_pdf_name):
    pdf = FPDF()

    for url in image_urls:
        # Get image from URL
        response = requests.get(url)
        image = Image.open(io.BytesIO(response.content))
        # Resize image to fit the PDF
        image.thumbnail((595,842))

        # Save the image to a temp file
        image.save("temp.jpeg")

        # Add image to PDF
        pdf.add_page()
        pdf.image("temp.jpeg", x=0, y=0, w=595, h=842)

    # Save the PDF to a file
    pdf.output(output_pdf_name, "F")

Make sure you have these python libraries installed by running pip install pillow requests fpdf.

Also please note the PDF file handling could be improved here - for simplicity I'm just using the same temp file for each image. This function also assumes that each image should be the size of a full page in the PDF (letter size) - you may want to adjust the thumbnail size depending on your needs.

About

Given your text input, this AI will generate the most likely response to follow your prompt. No prompt modifiers are applied.

Tip: Always double check that facts generated are correct.

Recently Generated

Expand icon