hi-ko

SOLR_CONTEXT="https://${SOLR_TOMCAT_HOST}:${SOLR_TOMCAT_PORT}/${SOLR_TOMCAT_CONTEXT}"
REPO_CERT=$SSL_BASE/certs/client.pem
CURL_PARAMS=( -k -s --cert "$REPO_CERT":"$REPO_CERT_PW" )

# get indexing status
curl "${CURL_PARAMS[@]}" "$SOLR_CONTEXT/admin/cores?action=SUMMARY&wt=json" |jq -r '.Summary | keys_unsorted[] as $k | "\($k), \(.[$k]."TX Duration"), \(.[$k]."Id for last TX in index")/\(.[$k]."Id for last TX on server") tx, \(.[$k]."On disk (GB)") GB, \(.[$k]."Approx transaction indexing time remaining")"'

# Show numDocs,maxDoc and deletedDocs for each Alfresco core
curl "${CURL_PARAMS[@]}" "$SOLR_CONTEXT/admin/cores?action=SUMMARY&wt=json"| \
jq '.Summary[].Searcher' | jq -r '"\(.searcherName),\(.numDocs),\(.maxDoc),\(.deletedDocs)"'

terencezl

from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.converter import TextConverter, XMLConverter, HTMLConverter
from pdfminer.layout import LAParams
from pdfminer.pdfpage import PDFPage
from io import BytesIO

def convert_pdf(path, format='text', codec='utf-8', password=''):
    rsrcmgr = PDFResourceManager()
    retstr = BytesIO()
    laparams = LAParams()

alexcasalboni

Amazon Rekognition - Python Code Samples

1. Labels Detection
2. Faces Detection
3. Faces Comparison
4. Faces Indexing
5. Faces Search

ololobus

Apache Spark installation + ipython/jupyter notebook integration guide for macOS

Tested with Apache Spark 2.1.0, Python 2.7.13 and Java 1.8.0_112

For older versions of Spark and ipython, please, see also previous version of text.

Install Java Development Kit

casschin

### Locating UI elements ###

# By ID
<div id="coolestWidgetEvah">...</div>
element = driver.find_element_by_id("coolestWidgetEvah")
or
from selenium.webdriver.common.by import By
element = driver.find_element(by=By.ID, value="coolestWidgetEvah")

# By class name: