kandi X-RAY | cassette Summary
kandi X-RAY | cassette Summary
Cassette is a zero-config-required media player component library for React. The default responsive UI works great in desktop or mobile web browsers. The flexible core handles the logical complexities of common audio and video player paradigms, while allowing you to implement any UI you can come up with.
Top functions reviewed by kandi - BETA
- Return the webpack config for a given package .
- Restores a state from a snapshot
- Browser config .
- Creates a global context .
- Filter a player context .
- Creates a new context provider .
- Get style for progress
- Creates a state snapshot
- use context to set a player context
cassette Key Features
cassette Examples and Code Snippets
Trending Discussions on cassette
I need to create a table based on different delimiters and keywords. I have the following file:...
ANSWERAnswered 2022-Mar-18 at 15:00
gsub on all data will destroy the hierarchical nesting. Keep your data together. Start with one big string stored in
data.txt and split them to get one element per transcript. Fields can be extracted using relative expressions. Lists can be converted into multiple rows in a table using
unnest. This automatically repeats transcript IDs for each corresponding protein.
I need to filter some files in which the "Identities" are greater than 90%.
ANSWERAnswered 2022-Mar-15 at 14:16
1st solution: With your shown samples, please try following
awk code. With any
awk this should work.
I have a pandas dataframe with 100+ columns....
ANSWERAnswered 2022-Jan-26 at 00:37
You should use
filter. Something like:
[error screenshot]I was trying a flutter exercise and whenever I was trying to add the conditionals I came up with the following error:
The following RangeError was thrown building StoryPage(dirty, state: _StoryPageState#a4166):
RangeError (index): Invalid value: Not in inclusive range 0..5: -5
the following are the codes:...
ANSWERAnswered 2022-Jan-25 at 20:16
I think you have an extra negative sign in your
i have a problem in text_to_sequence in tf.keras...
ANSWERAnswered 2022-Jan-12 at 09:43
You should not use
text_to_word_sequence if you are already using the class
Tokenizer. Since the tokenizer repeats what
text_to_word_sequence actually does, namely tokenize. Try something like this:
I want to have a Chat-like simple UI where the chats can scroll & 2 buttons are at the end.
Currently, it looks like:
Full reproduction → https://play.tailwindcss.com/mKgRCKKVBq
The code looks like:...
ANSWERAnswered 2021-Dec-13 at 14:55
I had to change only 1-thing. The outer container should be using
h-screen instead of
I have two dataframes, the one contains Reviews for cars and the second one contains the car make and car model. What I would like to do is use the car model
df_brand['name'] to be used to lookup every word in the Review sentence
df['Review'] and remove matching words. I would like to remove all the words that contain car brands in them.
ANSWERAnswered 2021-Dec-07 at 20:57
Your problem wasn't quite condensed enough to reproduce, or to see the desired output, but your basic approach is fine. You may run into issues with misspellings, in which case maybe use an edit distance with a threshold for determining whether to take out the stopword. Here's my version of your code that seems to do fine
In the following test:...
ANSWERAnswered 2021-Dec-07 at 11:02
It seems the only way to make this work is by adding the following:
I am trying to convert a input sentence
Review into a CountVectorizer. I am struggling to handle the sentences that are passed through. How do I deal with the sentences and add vectors to these? Any assistance will be highly appreciated.
ANSWERAnswered 2021-Dec-06 at 19:26
You don't need the looping. From the documentation:
No vulnerabilities reported
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