rets | Python 3 client for the Real Estate Transaction | REST library
kandi X-RAY | rets Summary
kandi X-RAY | rets Summary
Python 3 client for the Real Estate Transaction Standard (RETS) Version 1.7.2. Supports Python 3.5 or later.
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Top functions reviewed by kandi - BETA
- Performs a search query
- Returns the URL for a given transaction
- Generate the MD5 digest for the user agent
- Perform http request
- The list of resources
- Get metadata for given type
- Get metadata for a resource
- Get metadata
- Returns a dictionary containing the login information
- Parse the capabilities from the response
- The table of this resource
- The list of object types
- The list of available resource classes
rets Key Features
rets Examples and Code Snippets
Community Discussions
Trending Discussions on rets
QUESTION
I am trying to speed up some code using numba
, but it is tough sledding. For example, the following function does not numba-fy,
ANSWER
Answered 2022-Mar-03 at 08:56A bit late, but I hope still useful. Since you asked for the "canonical fix", I would like to explain why concatenate
is a bad idea when working with arrays and especially if you indicate that you want to remove bottlenecks and therefore use the numba jit. An array is a continuous sequence of bytes in memory (numpy knows some tricks to change the order without copying by creating views, but that is another topic, see https://towardsdatascience.com/advanced-numpy-master-stride-tricks-with-25-illustrated-exercises-923a9393ab20). If you want to prepend the value x to an array of N elements, you will need to create a new array with N+1 elements, set the first value to x and copy the remaining part. As a side note, a similar argument holds for prepending items to a python list, which is the reason why collections.deque
exists.
Now, in your jit decorated function, you could hope that the compiler understands what you want to do, but writing compilers that always understands what you are trying to do is nearly impossible. Therefore, better be kind to the compiler and help out with the memory layout whenever you know the right choice. Thus, IMHO the "canonical fix" to your example code would be something like the following:
QUESTION
What is the best method for calculating the EWMA returns for every column of my time series? Above all columns we have the returns from Today - 260d (-1Year) until Today -1d.
**The returns are calculated by the division of the close prices between days.
I was using the following function:
...ANSWER
Answered 2021-Sep-21 at 18:01You can use map_df
from the purrr package to do it in one line.
QUESTION
I have a numba decorated function which is called by another class method. It keeps giving me deprecation warnings. To silence it I've so far tried:
(1) adding @jit(warn=False)
, but throws an error that the option is unavailable
(2) trying to catch the warning with warning.catch_warnings()
None seems to work, interestingly enough, if I break before the execution of the function and run in the debug console the same statement (with warnings.catch_warnings()
etc.) and then run the method, it will silence it, but if I run the .py fully it doesn't silence it. Any ideas?
ANSWER
Answered 2021-Nov-25 at 13:06Executing annualize()
this way
QUESTION
I'm using client-go (the k8s client for go) to programmatically retrieve and update some secrets from my cluster. While doing this, I'm facing the need of unit-testing my code, and after some investigation I stumbled upon client-go's fake
client. However, I haven't been able to mock errors yet. I've followed the instructions from this issue, but without any success.
Here you have my business logic:
...ANSWER
Answered 2021-Oct-27 at 15:43I've finally found the error... it is in the resource name of the reactor function, I had secret
and it should be the plural secrets
instead... :facepalm:. So this is the correct version of the code:
QUESTION
I'm trying to get up and running with dask on kubernetes. Below is effectively a hello world for dask-kubernetes, but I'm stuck on the error below.
main.py:
...ANSWER
Answered 2021-Aug-24 at 20:41In the pod template (pod-spec.yaml), the field metadata.name
is set. Removing this allowed the code to run. It appears that dask-kubernetes creates a scheduler pod named "dask--" and follows the same naming approach for workers. By fixing the name in the pod template, dask-kubernetes was attempting to create worker pods with the same name as the scheduler pod (and each other) which is illegal.
If you want to name the pods differently, you can use the keyword argument name
when constructing KubeCluster
to name the pods (dask will automatically append a random string to this name for each pod).
For example, the sample below will result in each pod (scheduler and workers) being named "my-dask-pods-"
QUESTION
The source is in C, and I compiled it using gcc 11.1 with optimizations disabled (-O0). The link to the assembly is here so you may see it for yourself.
I've annotated the assembly with what I think is happening and "??" for lines I'm not too sure about.
For now, I'm only concerned with main()
and someAlgebra()
, and so, I've noted only these bits in the assembly listing.
C source
...ANSWER
Answered 2021-Aug-05 at 14:55Regarding your ??s, when optimizations are off, gcc ensures that every local variable lives in memory, which includes function parameters. So the parameters argc, argv
, despite the fact that they are passed to main
in the registers edi, rsi
, need to be stored in memory at an appropriate location on the stack.
Of course this is completely useless for the execution of the code, since those values are never loaded back, nor indeed are those parameters used at all. So the compiler could remove that code - but guess what, that'd be an optimization, and you told the compiler not to do any of those.
Although you might not think it, in most cases, reading optimized code is more educational, and less confusing, than unoptimized.
QUESTION
I just started programming a STM32 and generated a code with CubeMX for an SPI communcation with a gyroscope (L3GD20) I have a problem with the HAL_SPI commands.
I first try to read the WHO_AM_I
register which return a good response (0xD4)
Then I tried to do the same with CTRL_REG1
register and it was still good by returning (0x07).
But if I try to get both of them one after the other, the HAL_SPI_Receive
keeps sending the data of the first HAL_SPI_Transmit
of the code...
Tried to give it other buffers but still didn't work.
Here is the part of the code I'm intersted in :
...ANSWER
Answered 2021-Jun-11 at 10:26Since HAL_SPI_Receive
is already using HAL_SPI_TransmitReceive
(github stm32f4 spi driver) to send dummy data to generate clock, you can use that fact and ditch the HAL_SPI_Transmit
, and use the receive function like this:
QUESTION
I implemented the following two functions for RLE compression of binary files.
...ANSWER
Answered 2021-May-22 at 09:56I think the problem is that
QUESTION
I'm trying to load a CSV file in Tensorflow (V2.4.1). I'm using tf.data.experimental.make_csv_dataset, and although it doesn't raise any error when executing the function, I get an error when trying to iterate the dataset.
I'm running it in a Kaggle notebook using TPU acceleration. If I execute the same code in a CPU or GPU environment, everything goes fine.
...ANSWER
Answered 2021-May-12 at 12:16I found the source of the problem. I was executing the code to activate the Google Cloud SDK before connecting to the TPU. As they state in this post, the SDK must be activated after connecting to the TPU.
QUESTION
I am very new to this.
backtrader have a addwriter can write down some data,
cerebro.addwriter(bt.WriterFile, csv=True, out='outputfiles3\{}cerebro.csv'.format(ticker))
but buy and sell price always not match to the execute price.
so alternatively:
i did cerebro.addanalyzer(WritingAnalyzer)
before cerebro.run()
so I am trying to build the csv file with 'datetime','open','close','cash','value','position size'
but I don't know how to access those data. I can only point at current day close price with self.data[0]
I don't know how to do it right. I hope someone might able to give me some directions.
...ANSWER
Answered 2021-Apr-24 at 11:46You need to handle your analyzer a bit differently. You can literally grab data at every bar and then have it available to you at the end.
Create a new analyzer, in my case I made:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install rets
You can use rets 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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