defcapture_card_hold(db, participant, amount, hold):"""Capture the previously created hold on the participant's credit card. """typecheck( hold, balanced.CardHold , amount, Decimal ) username = participant.usernameassertparticipant.id == int(hold.meta['participant_id']) route = Exch...
# ... Previous snippet herefromlxmlimporthtml# We reuse the response from urllib3data_string=r.data.decode('utf-8', errors='ignore')# We instantiate a tree object from the HTMLtree=html.fromstring(data_string)# We run the XPath against this HTML# This returns an array of elementslinks=...
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br.get('r.php') fields = {'firstname': name.decode(encoding).encode('utf-8'),'lastname': surname.decode(encoding).encode('utf-8'),'email': email+'@wp.pl','gender': [str(int(male+1))],'year': str(age[0]),'month': str(age[1]),'day': str(age[2]),'pass': password...
Note:When using BeautifulSoup, it's better to use aresponse.contentinstead ofresponse.text. This is becauseresponse.contentholds the raw HTML data in bytes, which is easier for BeautifulSoup to decode than the text representation inresponse.text. Usingresponse.contenthelps avoid potential issues with...
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decode("base64")) attempt.mark_ready() attempt.save() course_id = request.POST["course_id"] course_id = CourseKey.from_string(course_id) donation_for_course = request.session.get("donation_for_course", {}) current_donation = donation_for_course.get(unicode(course_id), decimal.Decimal...
read() .decode('utf-8') responseJson = json.loads(response) return responseJson.get("country_code") print(getCountry("50.78.253.58")) This prints out the country code for the IP address: 50.78.253.58. The JSON parsing library used is part of Python’s core library. Just type in ...
decode('utf-8') return {'checksum': checksum} The generated code will cause the application to crash. This is because the base64 and os modules are not imported. Add the following lines to the top of the file: import base64 Finally, verify the new endpoint is working by going to the...
from gensim.utils import lemmatize sentence = "The striped bats were hanging on their feet and ate best fishes" lemmatized_out = [wd.decode('utf-8').split('/')[0] for wd in lemmatize(sentence)] #> ['striped', 'bat', 'be', 'hang', 'foot', 'eat', 'best', 'fish']...