djangoのmigrationはどう動いているか
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This document shows the process of creating and applying database migrations in Django. It defines a Person model class, generates the SQL migration, runs the migration to create the database table, and resets the database to show the migration process.
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scanf("%s", u.codeword);
users[i] = u;
}
void display_users() {
printf("%-20s %-20s %-20sn", "Username", "Password", "Codeword");
for (int i = 0; i < num_users; i++) {
printf("%-20s %-20s %-20sn", users[i].username, users[i].password, users[i].codeword);
}
}
void remove_user() {
char username[20];
printf("Enter username to remove: ");
scanf("%s", username);
int i = find_user_index(username);
if (i == -1) {
printf("Error: user not foundn");
return;
}
for (int j = i; j < num_users - 1; j++) {
users[j] = users[j + 1];
}
num_users--;
}
int main() {
int choice;
while (1) {
printf("n");
printf("1. Add usern");
printf("2. Edit usern");
printf("3. Display usersn");
printf("4. Remove usern");
printf("5. Exitn");
printf("Enter choice: ");
scanf("%d", &choice);
switch (choice) {
case 1:
add_user();
break;
case 2:
edit_user();
break;
case 3:
display_users();
break;
case 4:
remove_user();
break;
case 5:
return 0;
default:
printf("Error: invalid choicen");
}
}
}
Test and Debug the above program.
Django tutorial 2009
Django is a Python web framework that supports rapid development of pragmatic web applications. It allows defining models, views, URLs and templates to structure the application logically. Models define the database schema using Python classes. Views handle requests and return responses like HTML. Templates define presentation logic separately. Django provides a full-featured admin interface and forms to manage data. It aims to strike a balance between high-level features and low-level flexibility.
Epic South Disasters
1. The document discusses the South application for Django which automates database schema and data migrations. It provides an overview of how South works and helps with fast iteration when developing models.
2. The key problems that South solves are automating writing schema migrations, using Python instead of SQL, and enabling fast iteration by version controlling and sharing migrations between development and production.
3. The document warns that while abstraction layers like South are useful, they can also obscure what is happening, and provides examples of schema and data migrations using South.
The Ring programming language version 1.10 book - Part 54 of 212
This document describes code related to user registration and login functionality in Ring. It includes code for a registration form, login form, user registration logic, login validation, and checking if a user is logged in. Database and model classes are also shown that handle connecting to the database, querying for users, and managing user data.
Can someone please explain what the code below is doing and comment on.pdf
Can someone please explain what the code below is doing and comment on its network
performance? Please and thank you.
import numpy as np
import matplotlib.pyplot as plt
import keras
from keras.layers import Input, Dense, Reshape, Flatten, Dropout
from keras.layers import BatchNormalization, Activation, ZeroPadding2D
from keras.layers import LeakyReLU
from keras.layers.convolutional import UpSampling2D, Conv2D
from keras.models import Sequential, Model
from keras.optimizers import Adam,SGD
from keras.datasets import cifar10
#Loading the CIFAR10 data
(X, y), (_, _) = keras.datasets.cifar10.load_data()
#Selecting a single class of images
#The number was randomly chosen and any number
#between 1 and 10 can be chosen
X = X[y.flatten() == 8]
#Defining the Input shape
image_shape = (32, 32, 3)
latent_dimensions = 100
#Define a utility function to build the generator.
def build_generator():
model = Sequential()
#Building the input layer
model.add(Dense(128 * 8 * 8, activation="relu",
input_dim=latent_dimensions))
model.add(Reshape((8, 8, 128)))
model.add(UpSampling2D())
model.add(Conv2D(128, kernel_size=3, padding="same"))
model.add(BatchNormalization(momentum=0.78))
model.add(Activation("relu"))
model.add(UpSampling2D())
model.add(Conv2D(64, kernel_size=3, padding="same"))
model.add(BatchNormalization(momentum=0.78))
model.add(Activation("relu"))
model.add(Conv2D(3, kernel_size=3, padding="same"))
model.add(Activation("tanh"))
#Generating the output image
noise = Input(shape=(latent_dimensions,))
image = model(noise)
return Model(noise, image)
#Define a utility function to build the discriminator.
def build_discriminator():
#Building the convolutional layers
#to classify whether an image is real or fake
model = Sequential()
model.add(Conv2D(32, kernel_size=3, strides=2,
input_shape=image_shape, padding="same"))
model.add(LeakyReLU(alpha=0.2))
model.add(Dropout(0.25))
model.add(Conv2D(64, kernel_size=3, strides=2, padding="same"))
model.add(ZeroPadding2D(padding=((0,1),(0,1))))
model.add(BatchNormalization(momentum=0.82))
model.add(LeakyReLU(alpha=0.25))
model.add(Dropout(0.25))
model.add(Conv2D(128, kernel_size=3, strides=2, padding="same"))
model.add(BatchNormalization(momentum=0.82))
model.add(LeakyReLU(alpha=0.2))
model.add(Dropout(0.25))
model.add(Conv2D(256, kernel_size=3, strides=1, padding="same"))
model.add(BatchNormalization(momentum=0.8))
model.add(LeakyReLU(alpha=0.25))
model.add(Dropout(0.25))
#Building the output layer
model.add(Flatten())
model.add(Dense(1, activation='sigmoid'))
image = Input(shape=image_shape)
validity = model(image)
return Model(image, validity)
#Step 6: Define a utility function to display the generated images.
def display_images():
r, c = 4,4
noise = np.random.normal(0, 1, (r * c,latent_dimensions))
generated_images = generator.predict(noise)
#Scaling the generated images
generated_images = 0.5 * generated_images + 0.5
fig, axs = plt.subplots(r, c)
count = 0
for i in range(r):
for j in range(c):
axs[i,j].imshow(ge.
Structure
The document contains code for two C programs that use structures. The first program defines an employee structure with fields for ID, name, description, department, and salary. It then declares an array of this structure and inputs employee data from the user, storing it in the array. Finally, it prints out the stored employee data. The second program defines nested structures - an address structure within a person structure. It inputs data for a person including name, age, date of birth, and address, and prints out the stored details.
Intro programacion funcional
Programación funcional con swift. Se ven conceptos como funciones de primera clase, funciones de orden superior, métodos como filter, map y el patrón Result para la gestión de errores.
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The Ring programming language version 1.5.2 book - Part 43 of 181
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include ltstdiohgt include ltstringhgt define M.pdf
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Can someone please explain what the code below is doing and comment on.pdf
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2020/02/28
======================
We have recorded sessions of our previous LearnDay here: https://www.youtube.com/channel/UCiV-bQprArQxKBSzaKY1vQg
For updates and news on our future LearnDays, follow us on Twitter (https://twitter.com/xoxzocom/) or sign up for our Exchange Newsletter (https://info.xoxzo.com/en/exchange-mailing-list/)
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2019/11/28
======================
We have recorded sessions of our previous LearnDay here: https://www.youtube.com/channel/UCiV-bQprArQxKBSzaKY1vQg
For updates and news on our future LearnDays, follow us on Twitter (https://twitter.com/xoxzocom/) or sign up for our Exchange Newsletter (https://info.xoxzo.com/en/exchange-mailing-list/)
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2019/07/26
======================
We have recorded sessions of our previous LearnDay here: https://www.youtube.com/channel/UCiV-bQprArQxKBSzaKY1vQg
For updates and news on our future LearnDays, follow us on Twitter (https://twitter.com/xoxzocom/) or sign up for our Exchange Newsletter (https://info.xoxzo.com/en/exchange-mailing-list/)
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2019/04/26
======================
We have recorded sessions of our previous LearnDay here: https://www.youtube.com/channel/UCiV-bQprArQxKBSzaKY1vQg
For updates and news on our future LearnDays, follow us on Twitter (https://twitter.com/xoxzocom/) or sign up for our Exchange Newsletter (https://info.xoxzo.com/en/exchange-mailing-list/)
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XOXZO Learn day
2018/12/21
======================
We have recorded sessions of our previous LearnDay here: https://www.youtube.com/channel/UCiV-bQprArQxKBSzaKY1vQg
For updates and news on our future LearnDays, follow us on Twitter (https://twitter.com/xoxzocom/) or sign up for our Exchange Newsletter (https://info.xoxzo.com/en/exchange-mailing-list/)
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👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
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UI5con 2024 - Boost Your Development Experience with UI5 Tooling Extensions
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GraphSummit Paris - The art of the possible with Graph Technology
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Energy consumption of Database Management - Florina Jonuzi
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AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
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Unveiling the Advantages of Agile Software Development.pdf
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Revolutionizing Visual Effects Mastering AI Face Swaps.pdf
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Atelier - Innover avec l’IA Générative et les graphes de connaissances
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KuberTENes Birthday Bash Guadalajara - Introducción a Argo CD
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Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
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Essentials of Automations: The Art of Triggers and Actions in FME
djangoのmigrationはどう動いているか
- 18. from django.db import models class Person(models.Model): first_name = models.CharField(max_length=30) last_name = models.CharField(max_length=30)
- 19. CREATE TABLE myapp_person ( "id" serial NOT NULL PRIMARY KEY, "first_name" varchar(30) NOT NULL, "last_name" varchar(30) NOT NULL );
- 30. class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='SampleModel1', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ], ), ]
- 31. $ ./manage.py sqlmigrate app1 0001 BEGIN; -- -- Create model SampleModel1 -- CREATE TABLE `app1_samplemodel1` (`id` integer AUTO_INCREMENT NOT NULL PRIMARY KEY, `name` varchar(200) NOT NULL); COMMIT;
- 35. $ ./manage.py migrate Operations to perform: Apply all migrations: admin, app1, auth, contenttypes, sessions Running migrations: Applying app1.0001_initial... OK
- 36. id app name applied 12 auth 0008_alter_user_usernam e_max_length 2017-03-31 05:02:26.307972 13 sessions 0001_initial 2017-03-31 05:02:26.361356 14 app1 0001_initial 2017-03-31 05:29:31.189362
- 45. $ python manage.py reset_db You have requested a database reset. This will IRREVERSIBLY DESTROY ALL data in the database "migrations_demo". Are you sure you want to do this? Type 'yes' to continue, or 'no' to cancel: yes Reset successful.
- 48. $ python manage.py showmigrations admin [X] 0001_initial [X] 0002_logentry_remove_auto_add app1 [X] 0001_initial auth [X] 0001_initial [X] 0002_alter_permission_name_max_length [X] 0003_alter_user_email_max_length [X] 0004_alter_user_username_opts [X] 0005_alter_user_last_login_null [X] 0006_require_contenttypes_0002 [X] 0007_alter_validators_add_error_messages [X] 0008_alter_user_username_max_length contenttypes [X] 0001_initial [X] 0002_remove_content_type_name sessions [X] 0001_initial