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imagekit_private_key = '..'
base = 'https://api.imagekit.io/v1'
# files = {"file": result.content} # example from a url
files = {"file": open('/some/file.png', 'rb')} # from a local file
data = {                
    "fileName": "my-file.png",
    "tags": "foo,bar,baz",
    "folder": "/remote/file/path/"
}

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import PyPDF2
import io
from weasyprint import HTML

password = 'foo'
url = "https://google.com"
pdf = HTML(url).write_pdf()
in_file = io.BytesIO(pdf)
out_file = open('google.pdf', 'wb')

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window.matchMedia('(prefers-color-scheme: dark)').matches

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class FacetedPagination(pagination.PageNumberPagination):
    """
    If requested, will include facet information in the response

    Example response
    ```
{
    "links": {
        "next": ..,
        "previous": ..,

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const puppeteer = require('puppeteer');
const fs = require('fs');
const URL = https://apexcharts.com/" // set this to the url you want to generate a pdf of

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  await page.goto(URL, {waitUntil: 'networkidle2'});
  await page.pdf({path: 'download.pdf', format: 'A4'});
  await browser.close();

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<template>
<input type=text v-model='value' @kepup='debounceExpensiveMethod' />
</template>
<script>
export default {
  name: 'SomeComponent',
  data () {
    return {
      timeout: null
    }

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<template>
<v-autocomplete
  v-model='item'
  @update:searchInput='valueTyped'
  :items='computedItems'
  v-bind='extraProps' >
</v-autocomplete>
</template>

<script>

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[bumpversion]
current_version = 1.0.0
commit = False
tag = False

[bumpversion:file:api/custom_settings.py]

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import requests 

def send_sms(to, content):
    token = '..'
    email = '..'              
    headers = {'Content-type': 'application/json', 'Accept': 'application/json'}
    params = { 
      token: token,
      email: email
    }

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version: "3"
services:
  konga:
    image: pantsel/konga:latest
    env_file: 'kong.env'
    ports:
      - '8999:1337'
  mongo:
    image: mongo
    volumes: