pyg | A Python Package Manager
kandi X-RAY | pyg Summary
kandi X-RAY | pyg Summary
A Python Package Manager
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Top functions reviewed by kandi - BETA
- Use setuptools
- Download setuptools
- Build a new egg
- Create fake setuptools package info
- Return a formatter for the given parser
- Split a chunk into name and version
- Install requirements
- Remove all files from a package
- Wrapper around PyPI s search function
- Check if the version matches the given version
- Install a package
- Suggest help for a given command
- Install a package from a requirements file
- Load options
- Install a package from a directory
- Clean command line arguments
- Freeze site info
- Install develop
- Install requirements from a req file
- Generate arguments for the script
- Uninstall a package
- Download files to destination
- A decorator to make sure that the given function is called
- Install a tarball
- Download package
- Build a bundle of requirements
pyg Key Features
pyg Examples and Code Snippets
Community Discussions
Trending Discussions on pyg
QUESTION
I use PyTorch estimator with SageMaker to train/fine-tune my Graph Neural Net on multi-GPU machines.
The requirements.txt
that gets installed into the Estimator container, has lines like:
ANSWER
Answered 2022-Apr-02 at 17:11Pip install for the package needs [compiling][1] which will take time. Not sure but on your local instance it may have built the first time. One workaround is to extend the base [container][2] with the below (one time cost) and use it in SageMaker Estimator
ADD
./requirements.txt
/tmp/packages/
RUN python -m pip install --no-cache-dir -r /tmp/packages/requirements.txt [1]: https://github.com/rusty1s/pytorch_scatter/blob/master/setup.py [2]: https://github.com/aws/deep-learning-containers/blob/master/pytorch/training/docker/1.10/py3/cu113/Dockerfile.sagemaker.gpu
QUESTION
I need help if there is any expert in XML and kotlin. I would like to know how to convert the below XML access it in kotlin code and then convert it into kotlin array file i.e. like (USD -> $) so the value of USD is the symbol which the unicode of from the XML.
I know in Android there is java utill class but the problem there is there is not all currencies symbols available i.e. for AFN -> there is AFN but in actual it should be -> ؋.
here is XML file:
...ANSWER
Answered 2022-Mar-06 at 18:55val xml = """
Albania Lek
Afghanistan Afghani
Argentina Peso
Aruba Guilder
Australia Dollar
Azerbaijan New Manat
"""
data class Currency(
val code: String,
val name: String,
val symbol: String
)
val currencies = xml.trimIndent()
.substringAfter(">").substringBeforeLast(")|()".toRegex())
.filter { s -> s.isNotBlank() }
Currency(
code = splitted.first(),
name = splitted.last(),
symbol = (splitted.drop(1).dropLast(1).lastOrNull() ?: "")
.split(",")
.filter { s -> s.isNotBlank() }
.map { s -> Integer.parseInt(s.trim(), 16).toChar() }
.joinToString("")
)
}
currencies.forEach { println(it) }
QUESTION
I submitted all of my code below for a better understanding. The code is fine, my question is: How can I perfectly show multiple countries with their country name list? I mean: When I change the country name, then the flag image should be changed automatically, so users see the country name and image. I already put many links in my loadFlag() function in my js file, but this is not working. Please help me, how can i do it with my code? Thanks in advance and love from the top of my heart.
...ANSWER
Answered 2022-Mar-02 at 17:43You're loading country flags from flagcdn.com
in which each png
is named after a two-letter country code that you have in your country_code
value.
You just need to update your loadFlag
function to properly update the img
tag's property values. See the working code snippet below.
QUESTION
Here's how I parse the xml response from this url
...ANSWER
Answered 2022-Feb-23 at 15:19Unfortunately, you have to deal with the namespace in the file. So try it this way:
QUESTION
I am trying to convert my PyG graph to a NetworkX graph using to_networkx
According to the docs I can optionally pass node and edge attributes as str iterables, in addition to the Data object.
Below are by node and edge attribute lists, with values converted to strings:
...ANSWER
Answered 2022-Feb-08 at 20:21You need to pass the names of the attributes as a list:
QUESTION
I wanted to try out the link prediction functionality demonstrated here. Here are my versions:
...ANSWER
Answered 2021-Dec-07 at 13:05The issue was indeed a bug. Thank you for reporting it.
QUESTION
Goal: I am trying to import a graph FROM networkx into PyTorch geometric and set labels and node features.
(This is in Python)
Question(s):
- How do I do this [the conversion from networkx to PyTorch geometric]? (presumably by using the
from_networkx
function) - How do I transfer over node features and labels? (more important question)
I have seen some other/previous posts with this question but they weren't answered (correct me if I am wrong).
Attempt: (I have just used an unrealistic example below, as I cannot post anything real on here)
Let us imagine we are trying to do a graph learning task (e.g. node classification) on a group of cars (not very realistic as I said). That is, we have a group of cars, an adjacency matrix, and some features (e.g. price at the end of the year). We want to predict the node label (i.e. brand of the car).
I will be using the following adjacency matrix: (apologies, cannot use latex to format this)
A = [(0, 1, 0, 1, 1), (1, 0, 1, 1, 0), (0, 1, 0, 0, 1), (1, 1, 0, 0, 0), (1, 0, 1, 0, 0)]
Here is the code (for Google Colab environment):
...ANSWER
Answered 2021-Dec-22 at 18:32The easiest way is to add all information to the networkx graph and directly create it in the way you need it. I guess you want to use some Graph Neural Networks. Then you want to have something like below.
- Instead of text as labels, you probably want to have a categorial representation, e.g. 1 stands for Ford.
- If you want to match the "usual convention". Then you name your input features
x
and your labels/ground truthy
. - The splitting of the data into train and test is done via mask. So the graph still contains all information, but only part of it is used for training. Check the
PyTorch Geometric introduction
for an example, which uses the Cora dataset.
QUESTION
this is json output:
{"query":{"apikey":"...","base_currency":"USD","timestamp":1635972203},"data":{"JPY":113.99127,"CNY":6.39464,"CHF":0.9114,"CAD":1.23881,"MXN":20.54423,"INR":74.44808,"BRL":5.57063,"RUB":71.80098,"KRW":1175.11443,"IDR":14295.1734,"TRY":9.63691,"SAR":3.75119,"SEK":8.52554,"NGN":410.22181,"PLN":3.94541,"ARS":99.81213,"NOK":8.49529,"TWD":27.78459,"IRR":42000.64577,"AED":3.67284,"COP":3827.77643,"THB":33.32047,"ZAR":15.23269,"DKK":6.40357,"MYR":4.15212,"SGD":1.34783,"ILS":3.11624,"HKD":7.78416,"EGP":15.7003,"PHP":50.65881,"CLP":811.73282,"PKR":169.4547,"IQD":1458.01958,"DZD":136.722,"KZT":428.93534,"QAR":3.6499,"CZK":21.94293,"PEN":4.0008,"RON":4.25921,"VND":22747.41599,"BDT":85.57148,"HUF":308.78687,"UAH":26.25062,"AOA":598.0065,"MAD":9.06226,"OMR":0.38491,"CUC":24.00026,"BYR":2.00003,"AZN":1.69502,"LKR":200.00259,"SDG":438.90856,"SYP":2511.07513,"MMK":1746.02836,"DOP":56.29093,"UZS":10690.31508,"KES":111.25137,"GTQ":7.73108,"URY":44.18107,"HRV":6.47553,"MOP":8.01811,"ETB":47.31305,"CRC":635.74442,"TZS":2298.03956,"TMT":3.49009,"TND":2.80635,"PAB":1.00002,"LBP":1505.5263,"RSD":101.16202,"LYD":4.54568,"GHS":6.00013,"YER":249.956,"BOB":6.82018,"BHD":0.377,"CDF":1999.22628,"PYG":6875.19435,"UGX":3550.05822,"SVC":8.7497,"TTD":6.74137,"AFN":90.84208,"NPR":119.13277,"HNL":24.06657,"BIH":1.68483,"BND":1.34753,"ISK":129.16264,"KHR":4060.117,"GEL":3.14003,"MZN":63.22108,"BWP":11.45513,"PGK":3.5113,"JMD":153.22216,"XAF":564.86281,"NAD":15.2189,"ALL":105.53113,"SSP":391.0052,"MUR":42.90097,"MNT":2830.04693,"NIO":35.21094,"LAK":10330.27262,"MKD":53.08156,"AMD":474.80501,"MGA":3928.06091,"XPF":102.48118,"TJS":11.26034,"HTG":98.0013,"BSD":1.00003,"MDL":17.41883,"RWF":1018.02194,"KGS":84.77099,"GNF":9510.20822,"SRD":21.40242,"SLL":10779.18736,"XOF":568.81159,"MWK":807.36713,"FJD":2.06806,"ERN":15.05028,"SZL":15.21372,"GYD":207.78611,"BIF":1980.25293,"KYD":0.82002,"MVR":15.42042,"LSL":15.23032,"LRD":146.80405,"CVE":94.95278,"DJF":177.50237,"SCR":14.42749,"SOS":575.00647,"GMD":52.15123,"KMF":424.6543,"STD":21.11031,"XRP":0.83002,"AUD":1.34372,"BGN":1.68394,"BTC":0.0159,"JOD":0.70801,"GBP":0.73402,"ETH":0.00022,"EUR":0.86112,"LTC":0,"NZD":1.40184}}
The data section contains many key value pairs, but their number and names vary according to base_currency. (For example if i send request with USD there is no USD key or if i send request with CNY there is no CNY key in data section)
So what kind of data class should I create so that I can use it with the retrofit and gsoncreator libraries. (I am also trying to use and learn jetpack android libraries if this is important)
i use that data classes: (I am not using gson annotations because i believe my variables names are correct and i try that it doesn't help)
data class ResponseFromApi(val data: Data,val query: Query)
data class Query(val apikey: String, val base_currency: String, val timestamp: Int)
data class Data(val hashmapForData: HashMap)
(i suspect some values are integer but i am not sure)
it doesn't work. Maybe that's not the problem. I don't know but least i need to know, Are these classes correct? What is the proper way to do this.
And i don't know how to get error message from retrofit object so i can identify the problem. But this is another question.
...ANSWER
Answered 2021-Nov-04 at 09:37Arpit Shukla's answer is correct.
QUESTION
In this example, we see the following implementation of nn.Module
:
ANSWER
Answered 2021-Oct-12 at 20:53This Net
module is meant to be used via two separate interfaces encoder
and decode
, at least it seems so... Since it doesn't have a forward
implementation, then yes it is improperly inheriting from nn.Module
. However, the code is still "valid", and will run properly but may have some side effects if you are using forward hooks.
The standard way of performing inference on a nn.Module
is to call the object, i.e. calling the __call__
function. This __call__
function is implemented by the parent class nn.Module
and will in turn do two things:
- handle forward hooks before or after the inference call
- call the
forward
function of the class.
The __call__
function acts as a wrapper of forward
.
So for this reason the forward
function is expected to be overridden by the user-defined nn.Module
. The only caveat of violating this design pattern is that it will effectively ignore any hooks applied on the nn.Module
.
QUESTION
Hello there i want to ask something related to (maybe) element positioning.
So i've been stuck with this problem for a while. The and the are stacking on top of each other. Is there a efficient workaround so the will be directly under the ? And weirdly the is stuck there too.
Here's the screenshoot of it: Screenshot of the page
Here's my css and html snippet:
...ANSWER
Answered 2021-Oct-21 at 12:59Remove the sticky
css class on the nav
element.
The sticky
css class makes your main
content sticking to the top of the page.
And add the following css on the body
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install pyg
You can use pyg 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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