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| import pytest | |
| from example.models import Product | |
| pytestmark = pytest.mark.django_db | |
| class TestProductModel: | |
| def test_save(): | |
| product = Product.objects.create( |
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| import pytest | |
| class TestSomething: | |
| @pytest.fixture | |
| def something(self): | |
| return SomeMagic() | |
| def test_do_something(self, something): | |
| resp = something.do_magic() |
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| from django.contrib.messages.storage.fallback import FallbackStorage | |
| from django.contrib.sessions.middleware import SessionMiddleware | |
| from django.test import RequestFactory | |
| class TestSomeView: | |
| def test_view(self): | |
| request = RequestFactory().get('/') | |
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| import datetime | |
| import re | |
| import urllib | |
| from django.conf import settings | |
| import requests | |
| from lxml import html | |
| from .models import Product |
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| class Solution(object): | |
| def __init__(self): | |
| self.arr = [] | |
| def add_product(self, name, locations): | |
| self.arr.append((name, locations)) | |
| def get_locations(self): | |
| data = {} |
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| {"SBALCONY": | |
| [{ | |
| "t": "path", | |
| "a": {"d": "M303.6,631.5c6.3,0,11.3,5.1,11.3,11.3s-5.1,11.3-11.3,11.3s-11.3-5.1-11.3-11.3S297.4,631.5,303.6,631.5z"} | |
| }, | |
| { | |
| "t": "path", | |
| "a": {"d": "M332,642.8c6.3,0.6,10.8,6.1,10.3,12.2c-0.5,6.2-6.1,10.8-12.2,10.3c-6.2-0.5-10.8-6.1-10.3-12.2 C320.3,646.9,325.8,642.3,332,642.8z"} | |
| }, | |
| { |
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| from elasticsearch import Elasticsearch | |
| client = Elasticsearch() | |
| response = client.search( | |
| index="my-index", | |
| body={ | |
| "query": { | |
| "bool": { | |
| "must": [{"match": {"title": "python"}}], | |
| "must_not": [{"match": {"description": "beta"}}], |
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| from datetime import datetime | |
| from elasticsearch_dsl import Document, Date, Keyword, Text | |
| from elasticsearch_dsl.connections import connections | |
| # Define a default Elasticsearch client | |
| connections.create_connection(hosts=['localhost']) | |
| class Article(Document): | |
| title = Text(analyzer='snowball', fields={'raw': Keyword()}) | |
| body = Text(analyzer='snowball') |
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| import elasticsearch_dsl as es | |
| from some_app import abstract_index | |
| from some_app.models import Post | |
| class Article(abstract_index.DocumentBase): | |
| title = es.Text(analyzer='snowball', fields={'raw': es.Keyword()}) | |
| body = es.Text(analyzer='snowball') |