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My models.py: from smart_selects.db_fields import ChainedForeignKey class Funder(models.Model): name = models.CharField(max_length=200) scheme = models.ManyToManyField('Scheme', blank=True) class Scheme(models.Model): name = models.CharField(max_length=200) class Project(models.Model): funder = models.ForeignKey(Funder, on_delete=models.PROTECT) scheme = ChainedForeignKey( Scheme, chained_field="funder", chained_model_field="funder", show_all=False, auto_choose=True, sort=True, null=True, blank=True) As you can see I'm already using smart-selects for getting only the schemes that belong to that specific funder available in the Project dropdown selection in the...

I write this code to move image to another place but when I moving the image each point create new box so I get like this view: Image box duplicate each moving step. But I cant find the solution for this. import sys from PyQt5.QtCore import QRect from PyQt5.QtGui import QPixmap, QPainter, QPen, QColor from PyQt5.QtWidgets import * from test import Ui_MainWindow from PyQt5.QtCore...

I have the following input table and i want to obtain the output table. To do this I have to check the last part of the content of each individual cell from row 14 to the end of the file and, if i have a match, move the entire cell value in the rows 10, 11, 12, 13 ("STA ATT", "TEC", "D C P",...

I'm working on a project where I've to compare a list (Actual) against another list (Expected). The Expected list is fixed but the Actual list can sometime have "additional element" or "spelling mistakes" or both. The example below has both. Expected List: (length = 14) exp = ['change of form','death certificate','authority form', 'payment form','lodgement form','supporting documentation', 'proof of authority','proof of executor','proof of identity', 'reverse...

I am loading the table from google bigquery in python, the code as follow def read_bq(project_id, dataset_id, table_id, bigquery_client, size): query = f""" SELECT * FROM {project_id}.{dataset_id}.{table_id} WHERE extract_id < {size} """ a = time() query_job = bigquery_client.query(query) b = time() # Convert the result into a Pandas DataFrame c = time() df = query_job.to_dataframe() d = time() #df = pandas_gbq.read_gbq(query, credentials=set_credential(), dialect='standard', use_bqstorage_api=True)...

I am always confused on how to annotate things in matplotlib and doing a deeper dive and discovered the magical world of the different coordinate systems that exist in matplotlib, but I am having trouble understanding it all. Starting with the axes system, when annotating this is what I got so far: from matplotlib import pyplot as plt fig,ax = plt.subplots( figsize=(5,5), dpi=300) ax.set_xlim(0,100)...

Need some help with this thing I'm working on. Im using python and flask. I'm getting a response from openai that gives me a python list of tags of a blog post (not sure if this is an actual python list or just a string) and stores that into the database. I want to take these tags and possible keywords in the actual blog...

I have a 3D world in Python with terrain where I want to be able to generate airplanes flying in the world with random trajectories. The terrain should be some type of constraint so the airplanes do not fly through the ground or mountains (of course not reasonable). The trajectories should also be plausible for an aircraft, i.e. a quite smooth trajectory. I was...

I have the following sqlmodel base class and table models but I can't manage to make my Decimal field optional while keeping the constraints. PS: I already know this has been discussed for pydantic already but the solution seems not to be working with sqlmodel. First try (Error: ValueError: Unknown constraint max_digits) class ItemBase(SQLModel): # ... price: Optional[Decimal] = Field( default=None, max_digits=7, decimal_places=4, ge=0,...

I'm starting with OpenAI API and experimenting with langchain. I have a .csv file with approximately 1000 rows and 85 columns with string values. I found some beginner article that I followed and have a colab notebook with the following code: txt_file_path = '/content/drive/My Drive/Colab Notebooks/preprocessed_data_10.csv' with open(txt_file_path, 'r', encoding="utf-8") as file: data = file.read() txt_file_path = '/content/drive/My Drive/Colab Notebooks/preprocessed_data_10.csv' loader = TextLoader(file_path=txt_file_path, encoding="utf-8")...

As a personal project of mine, I'm working on making a (semi functional) video game completely made in python. Only problem is I seem to be constantly running into issues working with terminals inside VS code. The current problem is the fact that the terminal seems to just freeze after returning a test value of one. import time import random buildVer = 0.1 playerHealth...

I'm trying to scrape this website: https://www.globusmedical.com/patient-education-musculoskeletal-system-conditions/resources/find-a-surgeon/ It appears that the website uses JavaScript so that when I load inspect the code, I don't see the table with the doctors listed. However, when you inspect the element specifically, it's there with all of the information. I'm trying to click the "Load More" button multiple times until it disappears and then parse through the page...

When writing the following in a python interactive session: >>> a = "Ahmad" >>> b = "Ahmad" >>> a is b True I understand that this happen because "strings" are immutable in python, but when applying the same concept to *tuples", something weird happens: >>> a = (1, 2) >>> b = (1, 2) >>> a is b False This is normal if one...

I'm trying to install argon2 via pip install argon2 but it keeps giving an error, I've already installed openssl, builds tools, argon2-cffi C:\Users\jefer>pip install argon2 Collecting argon2 Using cached argon2-0.1.10.tar.gz (28 kB) Preparing metadata (setup.py) ... done Building wheels for collected packages: argon2 Building wheel for argon2 (setup.py) ... error error: subprocess-exited-with-error × python setup.py bdist_wheel did not run successfully. │ exit code: 1...

I'm trying to make an interactive scatter plot where the user selects a state and a visualization of historical housing prices shows (each column is a year that goes back to about 2007) This is the code. import pandas as pd import plotly.express as px from ipywidgets import interact, widgets from IPython.display import display def plot_scatter(index_value, df): fig = px.scatter(df, x='RegionName', title=f'Scatter Plot for...

I'm using Boto3(v1.34) client to list objects from an S3 bucket, but I've encountered some odd behavior. Note- 403 is not a real issue but due to different root cause which i have explained below. Background(botocore internals): In normal case(correct behaviour), s3 url for http call is being constructed based on the bucket name, resulting in URLs like 'url': 'https://mybucket.s3.amazonaws.com/?list-type=..' before calling listOperation. Issue:...

I'd like to extract all digits that occur in a string until a non-digit character appears. Example: 123test ----> 123 123_test ---> 123 123_321 ----> 123 123test000 -> 123 0123test0 --> 0123 123hej.321 -> 123 The following almost works, but doesn't catch the last example: re.findall(r"(\b\d+)", "123hej.123")

For horizontal axis of my plot I have int64 type numpy array. Then I've linked button press event to the plot: plt.connect("button_press_event", on_click) This is the handler def on_click(event): cursor_x = event.xdata ... What I see is non-integer interpolated xdata. How can I avoid interpolation and get the nearest datapoint from x axis in handler function?

import numpy as np def gmres(A, b, x0, tol=1e-6, max_iter=10): n = len(b) x = np.copy(x0) r = b - A @ x d0 = np.linalg.norm(r) v1 = r / d0 H = np.zeros((max_iter + 1, max_iter)) # Hessenberg-Matrix V = np.zeros((n, max_iter + 1)) # Krylov-space c = np.zeros(max_iter) s = np.zeros(max_iter) for k in range(1, max_iter): V[:, k] = v1 v_tilde =...

I have been experimenting the last week with Neo4j and indexes. I have created fake data with the faker library. Creating 10k nodes called A with the attributes: a1, a2, a3, a4. Also created 10k nodes called B with attributes: b1, b2, b3. I have made it so a1, b1 and b2 are of a 100 values, repeated over the 10k. I created 2...

Recently I was working on my Netbox automation using Ansible. I prepared task, which collects information about network interfaces that looks like below: "interface_ips": { "br0": { "ipv4": [ "10.0.0.10", "10.0.0.11" ], "ipv6": [], "mac": "aa:bb:cc:dd:ee:ff", "mtu": "1500", "type": "bridge" }, "lxcbr0": { "ipv4": [ "10.100.0.10" ], "ipv6": [], "mac": "ff:ee:dd:cc:bb:aa", "mtu": "1500", "type": "bridge" } } I wanted to iterate over collected IPs...

@celery.task(bind=True, ignore_result=False) def process_ml_model_dataset(self, dataset_serialized, media_serialized, ml_model_serialized, collection_name, n_factor): if n_factor == 1: result_group = group(process_ml_model_dataset_factor_x.s(dataset_serialized, media_serialized, ml_model_serialized, collection_name, n_factor)) else: # tasks = [process_ml_model_dataset_factor_x.s(dataset_serialized, media_serialized, ml_model_serialized, collection_name, i) for i in range(1, n_factor+1)] result_group = (group(process_ml_model_dataset_factor_x.s(dataset_serialized, media_serialized, ml_model_serialized, collection_name, i) for i in range(1, n_factor+1))) # tasks = [] # for i in range(1, n_factor+1): # tasks.append(process_ml_model_dataset_factor_x.s(dataset_serialized, media_serialized, ml_model_serialized, collection_name, i)) # result_group...

I'm writing a setup.cfg file for a Python package that requires different sets of dependencies depending on whether it's used for purpose A or purpose B (with some overlap). For development purposes, I want to add an argument to the setup.cfg file that installs both sets of dependencies simultaneously. The relevant section of the setup.cfg file at the moment: [options.extras_require] purpose1 = pkg1 pkg2...

I am currently trying to implement Just Works pairing between a Linux board and a microcontroller. When trying to pair there occurs a org.bluez.Error.AuthenticationFailed error, on the side of my microcontroller it says The confirm values in the numeric comparison protocol do not match. It seems BlueZ is trying to initiate Numeric Comparison pairing even though my microcontroller's I/O capabilities are NoInput/NoOutput. When pairing...