textual | Text User Interface ) framework for Python | Command Line Interface library
kandi X-RAY | textual Summary
kandi X-RAY | textual Summary
Textual is a TUI (Text User Interface) framework for Python inspired by modern web development. NOTE: This project is currently a work in progress, but usable by brave souls who don't mind some API instability between updates. Follow @willmcgugan for progress updates, or post in Discussions if you have any requests / suggestions.
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Top functions reviewed by kandi - BETA
- Render a bar chart .
- Feed data into the stream .
- Resolve the layout of the given number of edges .
- Handles a button press .
- Process all pending messages .
- Start an animation .
- Parse the given mouse code .
- Checks if the watch has changed .
- Reflow the view .
- Render tree label .
textual Key Features
textual Examples and Code Snippets
Lines of Code : 54License : Permissive (Apache-2.0)
Copyfrom sentence_transformers import SentenceTransformer, util
model = SentenceTransformer('all-MiniLM-L6-v2')
# Two lists of sentences
sentences1 = ['The cat sits outside',
'A man is playing guitar',
'The new movie is awesome
-
titanic["Name"].str.lower()
titanic["Name"].str.split(",")
titanic["Surname"] = titanic["Name"].str.split(",").str.get(0)
titanic["Surname"]
To user guide
titanic["Name"].str.contains("Countess")
titan 
License : No LicenseCopyimport torch
from textual_thematic_similarity import TextualThematicSimilarity
device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")
model_name = 'm3hrdadfi/bert-fa-base-uncased-wikinli'
tts_model = TextualThematicSimil def text(name, tensor, collections=None):
"""Summarizes textual data.
Text data summarized via this plugin will be visible in the Text Dashboard
in TensorBoard. The standard TensorBoard Text Dashboard will render markdown
in the strings, and def convert_function(concrete_function,
pass_pipeline='tf-standard-pipeline',
show_debug_info=False):
"""Import a ConcreteFunction and convert it to a textual MLIR module.
This API is only intended for i def convert_graph_def(graph_def,
pass_pipeline='tf-standard-pipeline',
show_debug_info=False):
"""Import a GraphDef and convert it to a textual MLIR module.
This API is only intended for inspecting the Community Discussions
Trending Discussions on textual
QUESTION
Dataset looks like this : This is a sample dataset for number of employee login activity named - activity
I need to calculate few metrics, was able to do in python data frames, but new in mySQL.
what is the average number of employee active per day for month of jan 2018 by dept ( was able to do somewhat half of it, but results coming are not correct.
number of unique active employee (login >0) per month for jan 2018 for each dept_id (was able to do it)
month over month growth for all dept_id from dec-2017 to jan 2018 where at least one employee was active (login >0) - no idea how to do this in sql
fraction of users who were active in each dept_id for dec 2017 and were also active in the same dept_id for jan 2018
how many employee login in on 3 or more consecutive days in jan 2018
Any help would be appreciated.
Query written for case 1:
...ANSWER
Answered 2021-Jun-15 at 16:59Let me know if this works otherwise I will update the answer, I don't have MYSQL installed so wasn't able to check.
And the date is a keyword in oracle but not sure in MYSQL so use it in quotes like "date".
Case 1:
QUESTION
I am trying to run this combined model, of text and numeric features, and I am getting the error ValueError: Invalid parameter tfidf for estimator. Is the problem in the parameters synthax?
Possibly helpful links:
FeatureUnion usage
FeatureUnion documentation
ANSWER
Answered 2021-Jun-01 at 19:18As stated here, nested parameters must be accessed by the __ (double underscore) syntax. Depending on the depth of the parameter you want to access, this applies recursively. The parameter use_idf is under:
features > text_features > tfidf > use_idf
So the resulting parameter in your grid needs to be:
QUESTION
I have a Java object with vavr list.
...ANSWER
Answered 2021-May-27 at 13:59You can easily serialize/deserialize vavr objects to/from JSON with jackson. What you need to do is to register VavrModule on the instance of the ObjectMapper:
QUESTION
I have a PHP variable like:
...ANSWER
Answered 2021-May-26 at 23:24Just flip the array of genres and compute the intersection of the keys. With your current code:
QUESTION
ANSWER
Answered 2021-May-24 at 23:14The .child('key') in your code is not needed. So:
QUESTION
So I am setting up a bot, and I am testing it out. A little function I have there is to kick, ban and unban users, set up in a cog, which goes as follows:
...ANSWER
Answered 2021-May-19 at 00:44That is not how error handling works. You should check out the error handling section of the docs for how to deal with missing permissions.
EDIT because people reminded me to give some more information
You shouldn't be handling errors through has_permissions. From what I can tell from your code, you are looking to send a message when the invoker doesn't have the permissions required to use the command. This can be achieved with an error handler. THe error handler will catch the MissingPermissions exception and do something based on that. Here is an example:
QUESTION
I am new to Angular development and trying to have a simple form that will have 3 textual user inputs.
...ANSWER
Answered 2021-May-16 at 05:59There is a typo in your TS code.
In TS code you have written teamdId but in your html you have written teamId
QUESTION
I have a dataset with different type of variables: binary, categorical, numerical, textual.
...ANSWER
Answered 2021-May-13 at 15:43The issue is the way a single text column is passed. I hope future version of scikit-learn would allow ['Text',] but until then pass it directly:
QUESTION
I'm working on a tvOS app and have the following issue. The app display numerous separate textual elements. When I start VoiceOver on the Apple TV, it reads a couple of elements but then stops eventually. It seems that it stops after some count of textual elements. Because when I reorder the content, the then first content is read correctly until it stops again after reading the first elements.
So my question is: is there a static limit of textual elements VoiceOver on AppleTV reads? And if so, can it be configured? Might it be some other issue that I did not think of?
Thanks for reading!
...ANSWER
Answered 2021-May-07 at 14:23So I created a test app that contained two vertical stacks with each containing 10 text elements (inserting more than ten Texts would result in a compiler error) and VO stopped reading after the tenth element. So this seems to be the limit on tvOS as of now (tvOS 14.5).
QUESTION
I'm recording workouts with a Flutter based mobile application. I can successfully upload bike workouts. https://github.com/BirdyF/strava_flutter/blob/master/lib/Models/activity.dart#L916 lists a pretty wide variety of sports. However I already noticed that "VirtualRide" reverts to a regular bike ride once it is uploaded to Strava.
Now as I'm uploading Kayaking data it also shows up as a bike ride as well (in the middle of a small lake). But at least it has the speed and the rpm (which is actually strokes per minute for kayaking). However if I switch that activity over to Kayaking on Strava's UI Strava stops showing the pace (speed) and the rpm.
I peeked at https://github.com/sanderroosendaal/rowingdata/blob/master/rowingdata/writetcx.py and that seems to output the rowing activities as "Other" sport. Its tests contain such TCXs as well. I just cannot believe TCX would be so limited. Does anyone have a pointer for me to solve this?
I'm outputting TCX because it's a textual format so it's easier to interpolate and debug than a binary FIT format. Since I can gzip it for upload its size is OK as well when compressed.
...ANSWER
Answered 2021-May-04 at 21:19It seems that TCX is too limited file format with respect to sport selection. I develop FIT file based upload and that is able to carry Kayaking and many more sports.
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