.lower() for x in list, not working, but works in another scenario

.lower() for x in list, not working, but works in another scenario

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.lower() for x in list, not working, but works in another scenario
Tag : python , By : Verbal
Date : November 26 2020, 01:01 AM

hop of those help? Because, you have non-strings in your list. Only strings have .lower() function. So before you do .lower(), check if it's a string:
def is_purple(*lfp):
    empty_string = [x.lower() if isinstance(x, str) else x for x in lfp]
    return empty_string

# [1, 2, 'colors', 'purple']

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How Amazon SQS works in this scenario?

Tag : java , By : Schmidt
Date : March 29 2020, 07:55 AM
Hope that helps I believe you are asking from rabbitmq perspective. There is some difference. There is no ack in sqs. Messages are not automatically deleted, they stay in queue even after a consumer accepts it. The messages need to be explictly deleted by the consumer after it has done processing it.
Sqs does not bother about the online offline status of a consumer. The consumer periodically polls sqs for new items. If a message is available, it is handed out. Once consumer is done, it calls sqs to delete that message. Then again poll for new message.

How does the NULL in SQL works in the below scenario?

Tag : mysql , By : Alex Sadzawka
Date : March 29 2020, 07:55 AM
seems to work fine Do not use NOT IN with subqueries! When the subquery returns a NULL value, it has the behavior you see. No rows are returned.
I strongly recommend NOT EXISTS or LEFT JOIN/WHERE for this reason. So:
select a
from xo
where not exists (select 1 from xo xo2 where xo2.c = xo.a);
select a
from xo
where exists (select 1 from xo xo2 where xo2.c = xo.a);
1 in (1, 2, 3) returns TRUE
1 not in (1, 2, 3) returns FALSE
1 in (1, 2, 3, NULL) returns TRUE, because 1 is explicitly in the list
1 in (2, 3, NULL) returns NULL (equivalent to FALSE) because `NULL` could be 1 or not
1 not in (1, 2, 3, NULL) returns FALSE because 1 is explicitly in the list
1 not in (2, 3, NULL) returns NULL, because 1 could be in the list

Karate.toMap() using 0.9.5.RC4 works with Scenario but not Works with Scenario Outline

Tag : development , By : Tigre
Date : March 29 2020, 07:55 AM
To fix the issue you can do This is a bug and will be fixed in the next version: https://github.com/intuit/karate/issues/982
A workaround is that you re-init the function for each loop under the Scenario Outline:
Scenario Outline:
* def OAuth2 = karate.call('classpath:com/utils.feature)

Python: list object has no attribute 'lower' - but corpus is already in lower case

Tag : python , By : francisco santos
Date : March 29 2020, 07:55 AM
this will help
Convert a collection of raw documents to a matrix of TF-IDF features.
from sklearn.feature_extraction.text import TfidfVectorizer
import pandas as pd

l1 = 'national, interest, think, worth, holding,'.split(',')
l2 = 'must, accurate, diane, abbott, done'.split(',')

df = pd.DataFrame([[l1],[l2]])

text = df[0]
0    [national,  interest,  think,  worth,  holding, ]
1            [must,  accurate,  diane,  abbott,  done]
Name: 0, dtype: object
corpus = text.apply(lambda x: ','.join(x)).to_list() # converts your series into a list of strings

vectorizer = TfidfVectorizer()
X = vectorizer.fit_transform(corpus)


['abbott', 'accurate', 'diane', 'done', 'holding', 'interest', 'must', 'national', 'think', 'worth']

Unexpected lower access time in multiple process scenario as compared to single process scenario

Tag : c , By : Vitalik
Date : March 29 2020, 07:55 AM
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