Lulu | clean video/music/image downloader | Scraper library
kandi X-RAY | Lulu Summary
kandi X-RAY | Lulu Summary
Lulu is a friendly you-get fork ( Dumb downloader that scrapes the web).
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Top functions reviewed by kandi - BETA
- Prepare the playlist
- Download a file using ffmpeg
- Launch a player
- Translate string to UTF - 8
- Main function for lulu
- Load all cookie jar
- Set socks proxy
- Main function
- Download one or more URLs
- Download a tumblr file
- Download a URL
- Download data from qq
- Print site info
- Download a live stream
- Download images from twitter
- Prepare stream for download
- Download baidu
- Prepare and prepare url
- Extract content from files
- Download an instagram
- Prepare the video object
- Download a PNG file
- Download a video from a given URL
- Download a playlist by URL
- Download a link
- Download data from 7gogo
Lulu Key Features
Lulu Examples and Code Snippets
Lines of Code : 15
License : No License
Copydef index_lulu():
nquestions=5
if request.method == 'GET':
return render_template('userinfo_lulu.html',num=nquestions)
else:
#request was a POST
app_lulu.vars['name'] = request.form['name_lulu']
app_lulu.va def main_lulu2():
if len(app_lulu.questions)==0 : return render_template('end_lulu.html')
return redirect('/next_lulu') def next_lulu():
return redirect('/usefulfunction_lulu') WebDriverWait(driver, 20).until(EC.invisibility_of_element((By.XPATH, "//div[contains(@id, 'domain')]")))
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selclass Cat:
def __init__(self, name, colour):
self.name = name
self.colour = colour
def __repr__(self):
return f"'{self.name} {self.colour}'"
class ListOfCats:
def __init__(self):
self.loc = []
df = df.drop_duplicates(['request_id','data_point_key','val'])
df1 = pd.crosstab(index=df['request_id'],
columns=df['data_point_key'],
values=df['val'],
aggfunc=','.join)
print (df1)
data_point_key a from ast import literal_eval
with open("inputdata.json", "r", encoding="utf-8") as f:
dictlist = []
for line in f:
x: str = f.readline()
x = x.lstrip()
data = literal_eval(x)
dictlist.append(data)
<pre_tweet ="'text': '"
post_tweet = "', 'referenced_tweets':"
with open(file, encoding="utf-8") as f:
data=f.readlines()
output = []
errors = []
for line in data:
if pre_tweet in line and post_tweet in line :
first_part,resrandom_port = []
for value in sector_dict.values():
random_port += random.sample(value, min(len(value), 2))
df = df.sort_index()['Adj Close']
pdiff = 100*(df.max() - df.iloc[-1,:])/df.iloc[-1,:]
Symbols
MSFT 7.339788
AAPL 14.713167
FB 14.921531
AMZN 7.448315
NVDA 4.241517
MA 3.775402
V 4.Community Discussions
Trending Discussions on Lulu
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 theastpackage 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 want to write a simple desktop application to track the overtime work of our employees. Whenever one of our employees needs to perform some tasks outside our normal working hours we want to track them using "Kimai Time Tracking".
The application I am programming needs to get the duration of all recorded tasks from Kimai, add them up and store them on a local SQL Server as an overtime contingent for the employee to claim later.
This is the GET request I'm mainly gonna use:
GET /api/timesheets (Returns a collection of timesheet records)
and this is an example output from the Kimai Demo (Sorry for length)
...ANSWER
Answered 2021-May-28 at 11:45You could use the HttpClient API to issue a REST request and then parse the response directly in your .NET app:
QUESTION
I am trying to customize y-labels of a clustermap from seaborn with a multiindex dataframe. So I have a dataframe that looks like this :
...ANSWER
Answered 2021-May-26 at 16:13Here is some code creating a minimal example similar to the given data.
QUESTION
There is a way to change a background or text color to a row in PrimeReact Datatable that is using rowClassName={rowClass} where rowClass is a function that allows returning a class configured in the CSS file.
but... what if I want to choose an arbitrary color? for example, one fetched from a database in #RRGGBB format?
Reading de documentation I can't see a way to call a function to return the style string. Another way could be, creating dynamically the class name, for example...
class RRGGBB for a selected color, define this class with background: #RRGGBB and let rowClassName={rowClass} call rowClass function returning this dynamically created class...
I have this approach, but don't work:
...ANSWER
Answered 2021-May-24 at 17:08I have solved it...
What I did is to create a dynamic css, and then use it:
QUESTION
I am fairly new to react, I am developing a component that will get data from a local JSON file and output it on to a table component.
I am currently stuck on a loading screen, I am getting the following error, Uncaught (in promise) SyntaxError: Unexpected token < in JSON at position 0
My first thoughts were that the JSON file was potentially broken, I have tested the JSON file using JSON lint and it is valid.
App.js
...ANSWER
Answered 2021-Mar-08 at 21:14fetch expects a URL in order to fetch data from some endpoint.
You've given it a JSON and it doesn't know what to do with it. If you want to use the fake data you could do something like this in your useEffect
QUESTION
I'm getting the following error when I tried to processing the data from hazelcast jet.
...ANSWER
Answered 2021-Mar-08 at 08:39The code is obviously incomplete, because there's no page variable so that page.aggregate2(...) shouldn't compile.
For this reason, I'm unable to point you to the exact line where the issue occurs. However, the error message tells you're using a "standard" lambda from the JDK that isn't Serializable, whereas you should use the ones from Jet, which are.
Please check this package.
EDIT:
I've created a dedicated GitHub project with the above code.
Everything works as expected. The 2 tuples are displayed correctly in the log:
QUESTION
"mytest_people" and "mytest_hobbies":
...ANSWER
Answered 2021-Mar-05 at 18:51some small misstale, every comand has to be ended by semicolion
and aliases don't belong in brackets
QUESTION
I have a list of stock ticker symbols as values and their sectors as keys in a python defauldict. I would like to randomly sample one or two from each value and place them in their own list, then do some stuff, then randomly sample again and do this for 50 or 100 times.
Is this possible?
Here is the sample of the dictionary.
...ANSWER
Answered 2020-Oct-11 at 17:16Try:
QUESTION
I have simple problem which I am able to solve but I think my solution is not upto standard. It is messy. I would like to take this as a learning opportunity in simplifying the calculation.
Here is the setup.
...ANSWER
Answered 2020-Oct-11 at 17:20What about:
QUESTION
I have an empty dictionary, and need to pull industry info base on ticker symbols. I would then like to add all tickers under the same industry in a list with the industry as the key.
For example, the end would look something like the below:
...ANSWER
Answered 2020-Oct-10 at 20:15You should always avoid catch-all exceptions.
Your original example was masking the fact that update isn't a list method.
When you subscript a python dictionary like sector_dict[ticker], we're now talking about the value associated with the ticker key. In this case a list.
Also update isn't used like that, so I think it was masking a second error. It's usage is to update a dictionary with another dictionary or an iterable. Not to update an existing entry.
Finally, the try clause should be as small as possible, in order to be sure where the error is coming from or at least you can guarantee there won't be conflicting exceptions such as this case.
I think that's why your list is returning with only the last ticker in my previous solution, as yf.Ticker causes a KeyError and the KeyError exception gets called instead of the last one.
Here's how I'd do it:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
Install Lulu
When you get a video of interest, you might want to use the --info/-i option to see all available quality and formats:.
At this point, format selection has not been generally implemented for most of our supported sites; in that case, the default format to download is the one with the highest quality.
ffmpeg is a required dependency, for downloading and joining videos streamed in multiple parts (e.g. on some sites like Youku), and for YouTube videos of 1080p or high resolution.
If you don't want lulu to join video parts after downloading them, use the --no-merge/-n option.
If you already have the URL of the exact resource you want, you can download it directly with:.
This feature is an experimental one and far from perfect. It works best on scraping large-sized images from popular websites like Tumblr and Blogger, but there is really no universal pattern that can apply to any site on the Internet.
Use -T/--thread number option to enable multithreading to download(only works for multiple-parts video), number means how many threads you want to use.
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