bidict | The bidirectional mapping library for Python | Dictionary library
kandi X-RAY | bidict Summary
kandi X-RAY | bidict Summary
The bidirectional mapping library for Python.
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Top functions reviewed by kandi - BETA
- Create a namedtuple .
- Deduplicate an item .
- Write a key - value pair .
- Store a key - value pair .
- Move the key to the next node .
- Return an iterable from positional arguments .
- Return an iterator over the values of a mapping .
- Returns the inverse of the inverse .
- Return an iterator that yields nodes .
- Make an empty bidirectional mapping .
bidict Key Features
bidict Examples and Code Snippets
manyToOne : BiDict String Int
manyToOne =
BiDict.empty
|> BiDict.insert "A" 1
|> BiDict.insert "B" 2
|> BiDict.insert "C" 1
|> BiDict.insert "D" 4
BiDict.getReverse 1 manyToOne
--> Set.fromList ["A"
mkdir -p /run/shm/bidict/afl_findings
../python-afl/py-afl-fuzz \
-i bidict/afl_testcases/ \
-o /run/shm/bidict/afl_findings \
-- python bidict/fuzz_script.py; cp -r /run/shm/bidict/afl_findings bidict/
for f in bidict/afl_findings/hang
pip install git+https://github.com/ferrocactus/Cluster_Ensembles
git clone https://github.com/ferrocactus/cellar
Rscript app.R
tricky_fields = {
"Processing Time": "ProcessingTime",
# add others here as needed
}
for proper_name, easier_name in tricky_fields:
my_text = my_text.replace(f" {proper_name}: ", f" {easier_name}: ")
# do the actual comma inser
$ docker images python:3
REPOSITORY TAG IMAGE ID CREATED SIZE
python 3 618fff2bfc18 27 hours ago 915MB
FROM python:3.9
print('Connected!', file=sys.stderr)
app.logger.info("Connected!")
...
cd xxx\xxx\Binance_Futures_python-master`
C:\Users\xxx\AppData\Local\Programs\Python\Python39\python.exe setup.py install
pip uninstall flask-socketio
pip uninstall python-socketio
pip uninstall python-engineio
pip install flask-socketio
from bidict import bidict
group1=["strA1", "strA2", "strA3"]
group2=["strB1", "strB2", "strB3"]
dc=dict(zip(group1,group2)) #we create the dictionary by using zip to create the tuples and then cast it to a dict
newdc= bidic
Community Discussions
Trending Discussions on bidict
QUESTION
So I manually installed a locally downloaded python package by going into the folder directory and using the cmd command:
python setup.py install
After that it just installed itself normally. Using the python function help("modules")
in cmd also confirmed that it was installed correctly as I can see the name being given out. The two modules are called binance_d
and binance_f
ANSWER
Answered 2021-Apr-16 at 07:38I followed this document and I can get what I want. The most importance thing is that the command does not copy the generated files into the pyhton 3.9.4 folder automatically. You have to copy them manually.
1) first download the project under this link and then unpack the file.
Run these under cmd:
QUESTION
It's my first time to use "flask-SocketIO" and I keep getting error 400 even while using the simplest code.
I'm trying to run the code locally on windows10
pip freeze:
...ANSWER
Answered 2021-Mar-02 at 14:04by Uninstall flask-socketio, python-socketio and python-engineio using those commands
QUESTION
i am trying to connect websocket in flask(1.1.2) with Flask-SocketIO(5.0.1) but it give 400 error to websocket url. i`m using anaconda virtual environment.
...ANSWER
Answered 2021-Jan-20 at 12:12It's because of version compatibility, you should either downgrade your Python-socketIo version to 3 which works with SocketIo version 1 in Js, or upgrade your Js client SocketIo version to 3 which works with Python-SocketIo 5.
QUESTION
LightFM and other libraries ask for a 32 bit integer id e.g for users. But, our user id is a UUID e.g. 0003374a-a35c-46ed-96d2-0ea32b753199
. I was wondering what you would recommend in scenarios like these. What I have come up with is:
- Create a bidirectional dictionary either in memory or in a database to keep a UUID <-> Int mapping. e.g. https://github.com/jab/bidict
- Use a non cryptographic hash function like MurmurHash3 or xxHash. For e.g. for 10 million UUIDs, I got around 11,521 or 0.1% collision using
xxhash
. Is that negligible for a recommender system?
I'm also curious on how this would apply in an online prediction scenario, where given the UUID, user interactions and the model, I have to predict the recommendations for a model which needs 32 bit integers. If I use the in memory bidict approach, then that won't work in this case and hence I may have to create a persistent key-value store in the worst case.
...ANSWER
Answered 2018-Jan-02 at 21:53- This will definitely work, and is probably the solution the vast majority of users will choose. The disadvantage lies, of course, in having to maintain the mapping.
- A hashing function will also work. There are, in fact, approaches which use hashing to reduce the dimensionality of the embedding layers required. One thing worth bearing in mind is that the resulting hash range should be relatively compact: most implementations will allocate parameters for all possible values, so a hashing function that can hash to very large values will require exorbitant amounts of memory. Hashing following by a modulo function could work well; the trade-off then is between memory required to hold all parameters and collision probability.
In LightFM as well as most other implementations, recommendations can only be made for users and items (or at least for user and item features) that were present during the training. The mapping will then be a part of the model itself, and be effectively frozen until a new model is trained.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install bidict
You can use bidict like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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