seed | A utility for easily creating and releasing Python packages
kandi X-RAY | seed Summary
kandi X-RAY | seed Summary
A utility for easily creating and releasing Python packages
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of seed
seed Key Features
seed Examples and Code Snippets
Lines of Code : 87License : Strong Copyleft (CC BY-SA 4.0)
Copy# Here code where I get storage account name and key. And Authentication by SPN which in KV.
...
customer_name = 'abc-qa'
container_name_source = "conteiner1"
blob_name_source = customer_name+"-blobfolder1/blobfolder2"
container_name_tadef pi_estimator(samples):
points_inside_circle= 0
total_num_points = 0
X,Y = generate_rand(size=2*samples).reshape(2,-1)
for x,y in zip(X,Y):
distance = x**2 + y**2
if distance <= 1:
points_# ...
# construct the defaultdict classes as before.
from collections import Counter
from random import seed, choice
def attempt_partition_into_pairs(rows):
rows.sort(key=lambda x: x[5])
# convert to tuples so that the rows are gen.train_generator.__next__()
import os
folders = os.listdir('/content/data')
print(f'folders: {folders}')
total_images = 0
names = []
paths = []
white_list_formats = ('png', 'jpg', 'jpeg', 'bmp', 'ppm', 'tif', 'tiff')
for f in folders:
paths.append(os.listdir(f'/import random
random.seed(42)
print( random.getrandbits(20))
print( random.getrandbits(30))
print( random.getrandbits(40))
random.seed(42)
print( random.getrandbits(20))
print( random.getrandbits(40))
print( random.getrandbits(30))
randBATCH_SIZE = 5
plt.figure(figsize=(10, 10))
for images, labels in train_ds.take(1):
for i in range(BATCH_SIZE):
ax = plt.subplot(1, 5, i + 1)
plt.imshow(images[i].numpy().astype('uint8'))
plt.title(class_names[labeldf2 = df.groupby(df['timestamp'].dt.floor('5Min').dt.time)['index'].count()
gb = DF.groupby(['gender_of_caller', DF.datetime_of_call.dt.to_period('M')]).size()
df = gb.unstack()
df = df.T
df.plot(kind='bar')
gb = DF.groupby(['gender_of_callimport pytest
from secrets import randbelow
from pytest_cases import parametrize_with_cases, fixture, parametrize
def pytest_addoption(parser):
# If you add a breakpoint() here it'll never be hit.
parser.addoption("--seed", actioCommunity Discussions
Trending Discussions on seed
QUESTION
How do you calculate the model accuracy in RStudio for logistic regression. The dataset is from Kaggle.
...ANSWER
Answered 2021-Jun-15 at 21:39use the package ML metrics
QUESTION
I'm trying to docerize my NodeJS API together with a MySQL image. Before the initial run, I want to run Sequelize migrations and seeds to have the tables up and ready to be served.
Here's my docker-compose.yaml:
ANSWER
Answered 2021-Jun-15 at 15:38I solved my issue by using Docker Compose Wait. Essentially, it adds a wait loop that samples the DB container, and only when it's up, runs migrations and seeds the DB.
My next problem was: those seeds ran every time the container was run - I solved that by instead running a script that runs the seeds, and touchs a semaphore file. If the file exists already, it skips the seeds.
QUESTION
I am working on a StencilJS project where I have to use MirageJS to make fake API data.
How to call server before StencilJS application loads. In react we can call makeServer() in the index.ts file, but in the stencil, we don't have such a file.
How can we call this to start the mirage server, Please can someone suggest the correct way.
Below is my server.ts file mirage/server.ts
...ANSWER
Answered 2021-Jun-15 at 14:02I'm not familiar with MirageJS so I might be off, but can you use globalScript (https://stenciljs.com/docs/config) and then run your Mirage server there?
QUESTION
I am trying to follow this tutorial here - https://juliasilge.com/blog/xgboost-tune-volleyball/
I am using it on the most recent Tidy Tuesday dataset about great lakes fishing - trying to predict agency based on many other values.
ALL of the code below works except the final row where I get the following error:
...ANSWER
Answered 2021-Jun-15 at 04:08If we look at the documentation of last_fit() We see that split must be
An rsplit object created from `rsample::initial_split().
You accidentally passed the cross-validation folds object stock_folds into split but you should have passed rsplit object stock_split instead
QUESTION
Consider the following code.
...ANSWER
Answered 2021-Jun-14 at 19:03Here is one in tidyverse
- Loop
acrossthe columns with namesstarts_with'NUM' - Extract the column name
cur_column(), replace the substring from 'NUM' to 'DENOM' instr_replace getthe column value, divide by the NUM column, and change the column name in.namesto create the 'FRAC' columns
QUESTION
Julia Code:
...ANSWER
Answered 2021-Jun-14 at 17:00Use:
QUESTION
I'm having issues with understanding Fluent API when it comes to multiple entities owning one class.
Error:
...ANSWER
Answered 2021-Jun-14 at 15:07- Why do you need to derive from Entity? these are POCO classes.
- User and City have one-to-many relationship, right? then City needs to have list of Users.
- In one-to-many entities it is typical to have ID field in addition to object itself. So, City would have CountryId.
Probably, put your DbContext class as well. And "Entity is just a parent with an ID". Huh? and how this ID will be generated - in addition to CityID, CountryID, etc.? You are really asking for trouble
Advice. I usually create a database with all the tables and foreign keys - and then run scaffolding to get the baseline of objects. Simplifies a lot!
Then start with that model, and make the needed changes, if any. Based on your code, I am not even sure that you will need any changes!
QUESTION
df <- data.frame(x1 = c("a","a","a","a","b","b","b","b"),ind = c("O","O","C","C","O","O","O","O"), num = c(6,12,18,24,6,12,18,24))
set.seed(1)
df <- df[sample(nrow(df)),]
df2 <- df %>% group_by(x1) %>%
arrange(x1,num)
> df2
# A tibble: 8 x 3
# Groups: x1 [2]
x1 ind num
1 a O 6
2 a O 12
3 a C 18
4 a C 24
5 b O 6
6 b O 12
7 b O 18
8 b O 24
ANSWER
Answered 2021-Jun-14 at 11:10This looks a bit cumbersome but does the job
QUESTION
The code...
...ANSWER
Answered 2021-Jun-14 at 11:32Your code works, the issue why you are not able to create res successfully is because the code does not raise just the normal Exception class. Since the task fails it ends up calling asyncio.exceptions.CancelledError which if we take a look in the documentation inherits from BaseException not Exception. This change is new as of Python 3.8 and since you are using Python 3.9 that change is live. Changing your code slightly to the following yields:
QUESTION
I use the example from the site, but I want to remove the points so that only the connection of the medians remains.
My code.
...ANSWER
Answered 2021-Jun-14 at 11:31ggstatsplot won't directly allow you to remove them, but you can use some workarounds:
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