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GET index/_search
{
  "query": {"match_all": {}},
  "sort": [
    {
      "path_to_field.time": {
        "order": "desc",
        "nested_path": "path_to_field"
      }
    }

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import argparse
import os

import fasttext
from sklearn.base import BaseEstimator
from sklearn.metrics import f1_score
from sklearn.model_selection import cross_val_score, StratifiedKFold


def read_data(data_dir):

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def rotateWithShapeFit(image, rotations=None):
    """
    Rotates the given image by 90, 180 or 270 degrees, keeping the original image shape.
    The original shape is kept by adding black borders both at the top and bottom or the left and the right of the
    rotated image.

    Args:
        image: the image to rotate.
        rotations: the number of rotations by 90 degrees. 1 will rotate the image by 90°, 2 by 180° and 3 by 270°.

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 // create the script query
 ScriptQueryBuilder scriptQuery = QueryBuilders.scriptQuery(new Script("params._source.your_field.size() > 1"));
 // add the query in a boolean term to enforce the filter
client.prepareSearch(indices).setQuery(QueryBuilders.boolQuery().must(scriptQuery)).get();
// the response will only contain documents whith more than one item in the field "your_field"
 

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# working version of https://bretahajek.com/2017/01/scanning-documents-photos-opencv/
import cv2
import numpy as np


def resize(img, height=800):
    """ Resize image to given height """
    ratio = height / img.shape[0]
    return cv2.resize(img, (int(ratio * img.shape[1]), height))

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import cv2 # opencv
import numpy as np

font_scale = 1.5
font = cv2.FONT_HERSHEY_PLAIN

# set the rectangle background to white
rectangle_bgr = (255, 255, 255)
# make a black image
img = np.zeros((500, 500))

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# copy your cron jobs
crontab -l > cron.txt 
# copy the exported config to otherHost
scp cron.txt otherHost:/your_directory
# login to otherHost 
ssh otherHost 
# set the cronjobs to your old config
crontab cron.txt 

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• 💄 cosmetic changes without functional changes
• ♻️ refactoring
• 🚀 finalizing new version / release
• 📚 documentation
• 🙏 experimental code (without test)
• 🚧 work in progress
• ✨ new feature
• 🗑️ deleting unused code
• 🔈 added logging
• 🔇 reduced logging

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POST _reindex
{
  "source": {
    "index": "source_idx",
    "type": "sourc_idx_type",
    "query": {
        "terms": {
           "_id": [
              "the_id"
           ]

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List<Map<String, Object>> listOfMaps = Lists.newArrayList();
listOfMaps.add(ImmutableMap.of("a",1.0));
listOfMaps.add(ImmutableMap.of("b",1.0));
listOfMaps.add(ImmutableMap.of("b",2.0));
List<Object> allValues = listOfMaps.stream()
        .flatMap(map -> map.values().stream())
        .collect(Collectors.toList());
assertThat(allValues, Matchers.containsInAnyOrder(1.0,1.0,2.0));