blm | A parser for Rightmove 's pointless .blm text format | Parser library
kandi X-RAY | blm Summary
kandi X-RAY | blm Summary
A parser for Rightmove's pointless .blm text format
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Top functions reviewed by kandi - BETA
- Fetch data from a file
- Get the contents of a string
- Fetches the attributes for the resource
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QUESTION
Problem
I have a large JSON file (~700.000 lines, 1.2GB filesize) containing twitter data that I need to preprocess for data and network analysis. During the data collection an error happend: Instead of using " as a seperator ' was used. As this does not conform with the JSON standard, the file can not be processed by R or Python.
Information about the dataset: Every about 500 lines start with meta info + meta information for the users, etc. then there are the tweets in json (order of fields not stable) starting with a space, one tweet per line.
This is what I tried so far:
- A simple
data.replace('\'', '\"')
is not possible, as the "text" fields contain tweets which may contain ' or " themselves. - Using regex, I was able to catch some of the instances, but it does not catch everything:
re.compile(r'"[^"]*"(*SKIP)(*FAIL)|\'')
- Using
literal.eval(data)
from theast
package also throws an error.
As the order of the fields and the legth for each field is not stable I am stuck on how to reformat that file in order to conform to JSON.
Normal sample line of the data (for this options one and two would work, but note that the tweets are also in non-english languages, which use " or ' in their tweets):
...ANSWER
Answered 2021-Jun-07 at 13:57if the '
that are causing the problem are only in the tweets and desciption
you could try that
QUESTION
I am working with Parse Server and am trying to speed up queries that use a bloom filter.
Each document has a field bf
with number value in range 0...bloomSize, for example document Id "xyz" is hashed as bf = 6462
The query then loads binary bloom filter values that are encoded and saved in base64 string. To make use of indexed query in Parse Server / MongoDB I need to generate an array of integers that I can compare then with the above mentioned field. So the base64 string needs to be decoded and for each 0 in binary data I have to append an integer of that 0 value position. Currently I am using following snippet:
...ANSWER
Answered 2021-Apr-17 at 06:53It should improve a bit when you avoid the conversion to string with .toString(2)
. Also the repeated i*8+l
can be avoided by using a separate counter variable:
QUESTION
I am working with string as below:
...ANSWER
Answered 2020-Nov-18 at 10:19If it's always between the last X
and last G
, you could use a couple of CHARINDEX
's as you have tried. I prefer to do this in the FROM
and use APPLY
to avoid repetition of code and a "nasty" long single expression:
QUESTION
I'm trying to unit test a model but I keep getting "Donation matching query does not exist," with the traceback pointing to the first line in the test_charity function. I tried getting the object with charity='aclu'
instead of by ID, but that did not fix it.
ANSWER
Answered 2020-Oct-25 at 19:44You setUp data with setUp
. Furthermore you should save the primary key, and use this since a database can use any primary key. Depending on the database backend, and the order of the test cases, it thus can create an object with a different primary key:
QUESTION
I started to learn Flask for a mini-project about a month. I wanted to do an app that calculates body parameters as BMI or LBM. The thing is that when I request the data in the forms, it come as tuples, so it can't be used by the body_calculator module, and throws the error in the title. My questions are: why data come as tuple, and which is the correct way to request data in Flask in this situations?
Flask code
...ANSWER
Answered 2020-Oct-06 at 16:51These few lines look like the problem:
QUESTION
I have a Google cloud Postgres server set up, and under the production environment I am able to connect to the server correctly. However, when I try to connect to the same cloud server in my local server, it doesn't seem to work. Here's the configuration for my database.js
...ANSWER
Answered 2020-Aug-16 at 04:39This shouldn’t be a strapi issue. First you need to have an access from outside to google cloud postgres database. I’m not familiar with google cloud services, but from documentation there seem to be a couple of things to do to grant access to database.
More info from documentation:
https://cloud.google.com/sql/docs/postgres/connect-external-app#appaccessIP
Basically you grant access for connection from outside and then you add that connection information to your strapi config file.
I noticed your host:
is not pointing to http://
or https://
but to some google server’s local address.
QUESTION
I have an ObservableObject described as below:
...ANSWER
Answered 2020-Aug-15 at 15:52You don't need optional, ie use
QUESTION
I have written a function that outputs and plots the most common words found in the text. Please see the code below and the output.
...ANSWER
Answered 2020-Jul-22 at 11:25You can directly use the list of tags for the x-values. Matplotlib will display these texts as the ticklabels of the axis. Optionally, use can use plt.yscale('log')
to better distinguish the lower values.
The code below first generates a random list of words, following a zipf distribution.
QUESTION
I have a function written to remove stopwords and tokenize as follows:
...ANSWER
Answered 2020-Jul-19 at 16:53when you process tokens you are keeping the entire word, if you want to strip out a leading #
you can use str.strip("#")
QUESTION
i have a dataframe
called tweet
of the following types:
ANSWER
Answered 2020-Jul-15 at 14:19tweet['cleaned_text']
returns a column, not a string, you have to iterate throuh each element of the column.
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