seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10193639226 | from django.contrib import admin
from django.forms import ModelForm
from services.models import Service, ServiceMain
from users.models import UserProfile
# Register your models here.
class ServiceAdmin(admin.ModelAdmin):
list_display = ['id', 'name', 'service_main', 'price', 'is_active']
list_display_links =... | AsuraBot/klinika | services/admin.py | admin.py | py | 791 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.TabularInline",
"line_number": 16,
"usage_type": "attribute"... |
9195867201 | import textwrap
from typing.io import BinaryIO
def calc_char(t, x):
if x - 1 <= (t % 40) <= x+1:
return '#'
return '.'
def main_b(fp: BinaryIO):
x = 1
t = 0
value = ''
for line in fp.readlines():
value += calc_char(t, x)
t += 1
if b'addx' in line:
[... | RensHam/aoc22 | aoc/day_10/main_b.py | main_b.py | py | 480 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.io.BinaryIO",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "textwrap.wrap",
"line_number": 22,
"usage_type": "call"
}
] |
21359705487 | import config
from flask import Flask, Response, request
from twilio import twiml
from twilio.rest import TwilioRestClient
app = Falsk(__name__)
client = TwilioRestClient(config.TWILIO_ACCOUNT_SID, config.TWILIO_AUTH_TOKEN)
@app.route('/call', method=['POST'])
def outbound_call():
response=twiml.Response()
call=c... | SoniaComp/Automated_Python | voice/voice_outbound.py | voice_outbound.py | py | 700 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "twilio.rest.TwilioRestClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "config.TWILIO_ACCOUNT_SID",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "config.TWILIO_AUTH_TOKEN",
"line_number": 7,
"usage_type": "attribute"
},
{... |
15123497320 | import os
import torch
### USER-SET CONFIG ###
LEARNING_RATE = 0.001
VALID_EVERY = 20
NUM_EPOCH = 20
BATCH_SIZE = 100
DATA_SOURCE = 'DBLP' # KDD, LUCA, DBLP
MODEL_TYPE = 'Many2One' # 'Many2Many', 'Many2One' ,'Many2OneAttention'
# MODEL_TYPE = 'Many2Many'
TEST_RATIO = 0.15
SEED = 1
EMBEDDING_DIM = 50
DEVICE = torch.dev... | DaehanKim/citation_count_prediction | setting.py | setting.py | py | 1,303 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "torch.device",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number":... |
6293905958 | import sounddevice as sd
import pyogg_test
import numpy
import math
sd.default.samplerate = 48000 #48Khz sampling rate
sd.default.channels = 2, 2 #2 channels for input two channels for output
print(f"Sound devices available to you are: \n {sd.query_devices()}\n")
input_Dev = int(input("Please enter the ID va... | Bibostin/Mukkava-Legacy | testing/first_party_tests/sounddevice_experimentation/sd_record_playback_test.py | sd_record_playback_test.py | py | 802 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sounddevice.default",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sounddevice.default",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sounddevice.query_devices",
"line_number": 9,
"usage_type": "call"
},
{
"api_name... |
32194038255 | # -*- coding: utf-8 -*-
"""
This module is for use of standalone scripts only
"""
from django_env import Env
import django
def configure_settings(env=None):
if env is None:
env = Env(readenv=True, parents=True)
env.setdefault('DJANGO_SETTINGS_MODULE', 'conf')
django.setup()
| Uniquode/uniquode2 | app/core/utils/configure.py | configure.py | py | 299 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django_env.Env",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.setup",
"line_number": 15,
"usage_type": "call"
}
] |
35612966385 | #!/usr/bin/env python2
from __future__ import print_function
from collections import defaultdict, namedtuple
import os.path
import sys
import glob
from jinja2 import Environment, FileSystemLoader
import yaml
import netaddr
RRFields = namedtuple('RRFields', ['rtype', 'rdata'])
TEMPLATE_ENVIRONMENT = Environment(
... | cwoodfield/hackathon71 | base_configs/gen_zone.py | gen_zone.py | py | 3,638 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.namedtuple",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "jinja2.Environment",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "col... |
770141566 | import pickle
from matplotlib import pyplot as plt
import numpy as np
from polynomial_model import add_polynomial_features
import pandas as pd
from mylinearregression import MyLinearRegression as MyLR
from data_splitter import data_splitter
from typing import Tuple
THETAS_FILE = 'models.pickle'
CSV_FILE_PATH = '../re... | 42pde-bakk/ml_modules | module02/ex10/benchmark_train.py | benchmark_train.py | py | 1,751 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "data_splitter.data_splitter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "typing.Tuple",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.ndarra... |
10230702092 | #! /usr/bin/env python3
import requests
import re
import json
import wikiUtil
from sys import argv
if __name__ == '__main__':
SNintendo = requests.Session()
for arg in argv[1:]:
if not re.match(r'\d+', arg): continue
nb = int(arg)
content = SNintendo.get(url=f'https://support.fire-e... | pival13/FehWikiBot | MSResult.py | MSResult.py | py | 1,664 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "requests.Session",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "re.match",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 18... |
6733548715 | import requests, uuid, json, os, sys, shutil
from pathlib import Path
from glob import glob
key = sys.argv[1]
language_code = sys.argv[2]
english_dir = f"{os.getcwd()}/wakawatch/fastlane/metadata/en-US/"
metadata_dir = f"{os.getcwd()}/wakawatch/fastlane/metadata/{language_code}/"
os.makedirs(metadata_dir)
for file_na... | uioporqwerty/waka-watch | scripts/translate-metadata.py | translate-metadata.py | py | 1,822 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 8,
... |
22098403740 | import pytest
from fastapi.testclient import TestClient
from pytest_mock import MockerFixture
from merino.config import settings
from merino.exceptions import InvalidProviderError
from merino.main import app
from merino.providers import ProviderType, get_providers, init_providers
@pytest.mark.asyncio
async def test_... | 0c0w3/merino-py | tests/unit/providers/test_init_providers.py | test_init_providers.py | py | 1,594 | python | en | code | null | github-code | 97 | [
{
"api_name": "merino.providers.init_providers",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "merino.providers.get_providers",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "merino.providers.ProviderType.ADM",
"line_number": 20,
"usage_type": "attr... |
16528871678 | import numpy as np
import os
import os.path
import h5py
import pandas as pd
import sys
from sklearn.cluster import DBSCAN
from scipy.spatial import ConvexHull
#from hnnd import hNND
filename = 'clusters RTX sim data high res/simulated_hexamers_width_100000.0.hdf5' # filename
epsilon = 32.51 # radius e.g. 32.5
minpts ... | jungmannlab/resi | simulations for CD20/dbscan-circularity-simulateddata_hdf5.py | dbscan-circularity-simulateddata_hdf5.py | py | 11,556 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "numpy.vstack",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.ConvexHull",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.Conv... |
13308984796 | from nose.tools import eq_
from mock import MagicMock
from buffpy.models.link import Link
def test_links_shares():
'''
Test link's shares retrieving from constructor
'''
mocked_api = MagicMock()
mocked_api.get.return_value = {'shares': 123}
link = Link(api=mocked_api, url='www.google.com')
eq_(link... | cponeill/GrowthHackingTools | tweet-bot/buffpy/tests/test_link.py | test_link.py | py | 897 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "mock.MagicMock",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "buffpy.models.link.Link",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "nose.tools.eq_",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "mock.MagicMock"... |
24122929977 | import datetime
import logging
import os
import time
import numpy as np
import pandas as pd
import sys
from monetio.models import hytraj
from utilhysplit import hcontrol
from utilhysplit.runhandler import ProcessList
from utilvolc.utiltraj import combine_traj
from ashapp.ashtrajectory import TrajectoryAshRun
logger =... | noaa-oar-arl/utilhysplit | ashapp/backtraj.py | backtraj.py | py | 6,946 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "ashapp.ashtrajectory.TrajectoryAshRun",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 60,
"usage_type": "call"
},
{
"api_name... |
27558509290 | from random import randint
import importlib
import pkgutil
def play_operation():
discovered_plugins = [ e.load()
for e in importlib.metadata.entry_points()[
"core_software.operations"
]]
# Select
trigger = randint(0 , len(discovered_plugins)-1)
operation = discovered_plu... | LAShemilt/plugins_example_operation | core_software/__init__.py | __init__.py | py | 550 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "importlib.metadata.entry_points",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "importlib.metadata",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "random.randint",
"line_number": 15,
"usage_type": "call"
}
] |
19041011571 | #!/usr/bin/python3
'''
Python script to export data in the CSV format.
'''
if __name__ == "__main__":
import csv
import requests
from sys import argv
urlUser = 'https://jsonplaceholder.typicode.com/users/' + argv[1]
response_name = requests.get(urlUser)
name = response_name.json()['username']
... | rafyc/holbertonschool-system_engineering-devops | 0x15-api/1-export_to_CSV.py | 1-export_to_CSV.py | py | 722 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 20,
... |
28212679546 | from django.db import models
from django.contrib.auth import get_user_model
User = get_user_model()
class Group(models.Model):
"""Класс модели записи группы"""
title = models.CharField(
max_length=200,
verbose_name='Заголовок',
)
slug = models.SlugField(
max_length=200,
... | ZaripovRafael/django_blog | yatube/posts/models.py | models.py | py | 1,663 | python | ru | code | 0 | github-code | 97 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.db.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_... |
18836902484 | import logging
import discord
from discord import app_commands, Interaction
from discord.app_commands import Range
from discord.ext import commands
from handler.context import Context
from handler.view import DropdownView
from pepebot import PepeBot
from datetime import timedelta
import typing
from typing import Opt... | 0xgreenapple/peepbot | cogs/setup.py | setup.py | py | 35,125 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pepebot.PepeBot",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Cog",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "disco... |
35917547015 | import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while(1):
# Take each frame
_, frame = cap.read()
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
lower_red = np.array([30,150,50])
upper_red = np.array([255,255,180])
mask = cv2.inRange(hsv, lower_red, upper_red)
res = cv2.bi... | absterjr/Machine-Learning-and-OpenCV | Open CV/Edge Detection/Gradient.py | Gradient.py | py | 915 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
... |
654460804 | from simpful import *
import matplotlib.pylab as plt
from numpy import linspace, array
FS = FuzzySystem()
S_1 = FuzzySet(function=Triangular_MF(a=0, b=0, c=5), term="poor")
S_2 = FuzzySet(function=Triangular_MF(a=0, b=5, c=10), term="good")
S_3 = FuzzySet(function=Triangular_MF(a=5, b=10, c=10), term="excellent")
FS.... | aresio/simpful | examples/example_output_surface.py | example_output_surface.py | py | 1,943 | python | en | code | 102 | github-code | 97 | [
{
"api_name": "numpy.linspace",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_num... |
44263465702 | import pathlib
from os.path import join
import itertools
from typing import Any
import matplotlib.pyplot as plt
from pytorch_lightning.utilities.types import STEP_OUTPUT
import pytorch_lightning as pl
import torch.nn as nn
from .observable_layers import ObservableLayersChans
from general.utils import max_min_norm, ... | TheodoreAouad/Bimonn_ICIP2022 | deep_morpho/observables/plot_parameters.py | plot_parameters.py | py | 7,041 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "observable_layers.ObservableLayersChans",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "os.... |
43740779910 | import argparse
import json
from pathlib import Path
from typing import Any
import torch
from torch.utils.data import DataLoader
from transformers import AdamW, BertConfig, BertForMaskedLM
from hparams import Hyperparameter
from preprocess import Preprocessor
import torch
import torch.nn as nn
import wandb
def get_... | Gyu-Seok0/CMU | Deep learning/Team Project/code/train_test_accept.py | train_test_accept.py | py | 8,885 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.Any",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "torch.device",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch.no_gra... |
73880302719 | import json
from datetime import datetime
class Flow():
def __init__(self, timestamp=None, clientIP=None, serverIP=None, clientPort=None, serverPort=None, duration=None, _id=None, initFwdLength=-1, initBwdLength=-1, fwdHeaderLength=0, bwdHeaderLength=0, fwdBytes=0, bwdBytes=0, fwdPackets=0, bwdPackets=0, fwdPacke... | ZacharyGroff/IDS-Dataset-Generation | models/flow.py | flow.py | py | 7,102 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 104,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 104,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 105,
"usage_type": "call"
},
{
"api_na... |
74574995839 | import matplotlib.pyplot as plt
# 그래프 생성/이미지화 모듈
x = [1,4,9,16,25,36,49,64]
y = [i for i in range(1, 9)]
plt.plot(x, y, 'r')
# 문자열은 색상/반환타입의 속성이다
plt.title('matplotlib sample')
plt.xlabel('x value')
plt.ylabel('y value')
plt.show() | yoon92kr/Just_Run_Python | Code107.py | Code107.py | py | 300 | python | ko | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplo... |
41436205806 |
import pytorch_lightning as pl
from pytorch_lightning.callbacks import (DeviceStatsMonitor, ModelCheckpoint,
LearningRateMonitor)
from pytorch_lightning.callbacks.progress import TQDMProgressBar
from pytorch_lightning import Trainer, loggers as pl_loggers
from configs import... | adnan33/Glue_Tube_Length_Keypoint_Detection | training.py | training.py | py | 2,996 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pytorch_lightning.seed_everything",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytorch_lightning.loggers.TensorBoardLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pytorch_lightning.loggers",
"line_number": 26,
"usage_type"... |
30954526689 | import click
import json
import os
from LapisParser import *
@click.command()
@click.option('--source')
@click.option('--name')
@click.option('--method')
@click.option('--out')
def main(source, name, method, out):
ans = dict()
ans['data'] = dict()
ans['succeed'] = False
ans['errors'] = list()
sou... | llylly/LapisServer | worker/datagen.py | datagen.py | py | 1,086 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "json.dump",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "click.command",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "click.option",
"line_number": 8,... |
6127962471 | """
图像处理
更改颜色空间
图像的几何变换
图像阈值
平滑图像
形态转换
图像梯度
Canny边缘检测
图像金字塔
OpenCV中的轮廓
OpenCV中的直方图
OpenCV中的图像转换
模板匹配
霍夫线变换
霍夫圆变换
基于分水岭算法的图像分割
基于GrabCut算法的交互式前景提取
"""
import cv2
import numpy as np
"""
████
▒▒███
▒███
▒███
▒███
▒███
█████
▒▒▒▒▒
更改颜色空间
"""
#%%... | Mazmots/pytorchProject | learning_opencv/c04.py | c04.py | py | 14,040 | python | zh | code | 0 | github-code | 97 | [
{
"api_name": "cv2.imread",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_RGB2GRAY",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"l... |
18559536621 | from django.urls import path
from .views import PostsList, PostDetail, PostCreate, PostUpdate, PostDelete, PostSearch, CategoryListView, subscribe, unsubscribe
from django.views.decorators.cache import cache_page
urlpatterns = [
path('', cache_page(60)(PostsList.as_view()), name='posts_list'),
path('<int:pk>', c... | vikapavsk/django_news | NewsPaper/news/urls.py | urls.py | py | 878 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.views.decorators.cache.cache_page",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.PostsList.as_view",
"line_number": 6,
"usage_type": "call"
},
{
"ap... |
25582844087 | import os
import json
import collections
from pathlib import Path
from appdirs import AppDirs
from typing import Any, Optional, Iterable, Dict, Tuple
from ..extra.utils import nested_dict_update, load_playlist
class Model:
def __init__(
self,
state_fname: Optional[Path] = None,
log_fnam... | kpj/Vydia | vydia/core/model.py | model.py | py | 2,871 | python | en | code | 11 | github-code | 97 | [
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line... |
22112060824 | """
https://leetcode.com/problems/maximum-subarray/
did this before but still ran into nails..
kind of subtle.. not sure if I can come up with this in a stressful interview environment
"""
from typing import List
class Solution:
def maxSubArray(self, nums: List[int]) -> int:
prefixSum = nums[0]
... | kangxie-colorado/leetcode-and-notes | previous_run/370.53.maxSubarry.py | 370.53.maxSubarry.py | py | 2,059 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
}
] |
32588833413 | import scipy.integrate as integrate
import scipy.stats as stats
import numpy as np
from numpy import sqrt, pi, sin, radians
import matplotlib.pyplot as plt
# Constructive-destructive-interference
t = np.arange(0, 1+0.01, 0.01)
y1 = sqrt(2)*sin(2*pi*t)
energy1 = integrate.quad(lambda t: (sqrt(2)*sin(2*pi*t))**2, 0, 1)
... | kimdoanh89/Multiple-antenna-communications | docs/01-constructive-destructive-interference.py | 01-constructive-destructive-interference.py | py | 1,763 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "numpy.arange",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 9,
"... |
35658965437 | """
function for plotting the AbMetaAnalysis results
"""
# Info
__author__ = 'Boaz Frankel'
# Imports
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
from matplotlib.lines import Line2D
import seaborn as sns
import math
from changeo.Gene import getFamily
import typing
def plot_compare_to... | boazfran/AbMetaAnalysis | AbMetaAnalysis/Plot.py | Plot.py | py | 17,630 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "math.ceil",... |
73385516158 | """Create reads
Revision ID: 49b4cc7895ba
Revises: 3f30d324d67d
Create Date: 2023-09-20 21:01:20.431436
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '49b4cc7895ba'
down_revision = '3f30d324d67d'
branch_labels = None
depends_on = None
def upgrade():
# #... | wmaethner/PickEmLeague2023_Backend_Python | src/PickEmLeague/migrations/versions/49b4cc7895ba_create_reads.py | 49b4cc7895ba_create_reads.py | py | 1,211 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
8664508772 | from rest_framework import serializers
from rest_framework.relations import SlugRelatedField
from rest_framework.validators import UniqueTogetherValidator
from posts.models import Comment, Post, Group, Follow, User
class CommentSerializer(serializers.ModelSerializer):
"""Класс для преобразования сложных данных ... | irinaexzellent/api_final_yatube | yatube_api/api/serializers.py | serializers.py | py | 2,408 | python | ru | code | 0 | github-code | 97 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "rest_framework.relations.SlugRelatedField",
"line_number": 13,
"... |
32299023581 | import mpmath;
class Scorer:
def score_edge(self,Gain,Sigma):
G=Gain[0];
S=Sigma[0];
if G<=0:
return mpmath.ln(1);
if G<S:
S=G;
eps = mpmath.ln( 1.0/mpmath.ln(2)) / mpmath.ln(2);
t0 = mpmath.power(2,-G-eps);
t1 = mpmath.power(2,-S-eps);
#print 't1: ',t1;
t2 = (1.0/G) * mpmath.... | K4RI/mirrors-digitbio-2022 | codes_sources/globe_v20220213/edge_ranking.py | edge_ranking.py | py | 682 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "mpmath.ln",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mpmath.ln",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "mpmath.power",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "mpmath.power",
"line_number": 20... |
9079002763 | import pytest
from unittest.mock import MagicMock, mock_open
from collections import namedtuple
@pytest.fixture()
def mock_object(monkeypatch):
def create_mock_object(object_path, **kwargs):
mo = MagicMock(**kwargs)
monkeypatch.setattr(object_path, mo)
return mo
return create_mock_obj... | splunk/pytest-splunk-addon | tests/unit/tests_standard_lib/conftest.py | conftest.py | py | 2,002 | python | en | code | 51 | github-code | 97 | [
{
"api_name": "unittest.mock.MagicMock",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "unittest.mock.mock_open",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pytest.f... |
733662479 | import plotly.graph_objects as go
fig = go.Figure(data=[
go.Mesh3d(
# Order of vertex matters! in this case is: A-B-C-D-DRONE
x=[3, 9, 1, 3, 0],
y=[9, 3, 3, 1, 0],
z=[0, 0, 0, 0, 6],
colorbar_title='z',
# i, j and k give the vertices of triangles
# here we re... | HusskyAngel/proyecto_final_computacion_grafica | Plotly_related/main.py | main.py | py | 569 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "plotly.graph_objects.Figure",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objects",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "plotly.graph_objects.Mesh3d",
"line_number": 4,
"usage_type": "call"
},
{
"api_nam... |
587985529 | import boltons.fileutils as bf
import yaml
import pkg_resources
from distutils.dir_util import copy_tree
import pprint
from pathlib import Path
import shutil
import re
from jinja2 import Environment, PackageLoader, select_autoescape
resource_package = __name__
env = Environment(
loader=PackageLoader("docker_app... | HouseOfAgile/docker-apps | docker_app_generator/fileutils.py | fileutils.py | py | 3,627 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "jinja2.Environment",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "jinja2.PackageLoader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "jinja2.select_autoescape",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.s... |
27321452962 | """Defines core consumer functionality"""
import logging
import confluent_kafka
from confluent_kafka import Consumer
from confluent_kafka.avro import AvroConsumer
from confluent_kafka.avro.serializer import SerializerError
from tornado import gen
logger = logging.getLogger(__name__)
class KafkaConsumer:
"""Def... | paulbulson/kafka_project | home/consumers/consumer.py | consumer.py | py | 4,596 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "confluent_kafka.avro.AvroConsumer",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "confluent_kafka.Consumer",
"line_number": 54,
"usage_type": "call"
},
{
"api_... |
24400021500 | import json
import time
def genere_solution():
# a*x+b*y=c [10]
resultat = []
for a in range(0, 10):
for b in range(0, 10):
for c in range(0, 10):
tmp = {'a': a, 'b': b, 'c': c, 'result': []}
resultat.append(tmp)
for x in range(0, 10):
... | abarhub/pynumber | genere_solution_equation.py | genere_solution_equation.py | py | 925 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "time.time",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 33,
"usage_type": "call"
}
] |
42601115636 | from collections import defaultdict
import numpy as np
from abaqus_python_interface import ABQInterface
from fat_eval.weakest_link.FEM_functions.elements import element_types
from fat_eval.weakest_link.hazard_functions import weibull
from fat_eval.fatigue_materials import materials
from fat_eval.utilities.steel_data... | erolsson/fat_eval | fat_eval/weakest_link/weakest_link_evaluator.py | weakest_link_evaluator.py | py | 2,585 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "abaqus_python_interface.ABQInterface",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "fat_eval.utilities.steel_data.abaqus_fields",
"line_number": 19,
"usage_type": "argument"
},
{
"api_name": "fat_eval.weakest_link.FEM_functions.elements.element_types",... |
30936283031 | from typing import Dict, List, Optional, Tuple, Callable
import numpy as np
from tensorflow.keras.preprocessing.image import ImageDataGenerator, Iterator
def _sanitize_class_balance(
classes: List[int], class_balance: Optional[Dict[int, float]] = None
) -> Dict[int, float]:
if class_balance is None:
... | DIAGNijmegen/bodyct-luna22-ismi-training-baseline | balanced_sampler.py | balanced_sampler.py | py | 5,055 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.sum",
"line_number": 1... |
43560089957 | import numpy as np
import santas_path
import random
from datetime import datetime
def create_particle(particle_size, x_min=0, x_max=4):
"""
Create a single particle
:param particle_size:
:param x_min:
:param x_max:
:return:
"""
particle = x_min + (x_max - x_min) * np.random.uniform(low... | hechmik/travelling_santa_metaheuristics | particle_swarm.py | particle_swarm.py | py | 18,428 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "numpy.random.uniform",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.uniform",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.ran... |
8885637570 | # This file hold EXTRACT functions
from bs4 import BeautifulSoup
from fipe.scripts.loggers import get_logger
logger = get_logger(__name__)
def scrape_complete_tbody(driver, new_columns: list[str]) -> dict:
"""
Extracts the HTML table within the tbody tags and returns the information as a dictionary.
Ar... | doug-pires/de-fipe | fipe/elt/extract.py | extract.py | py | 4,731 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "fipe.scripts.loggers.get_logger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "bs... |
14946121450 | """empty message
Revision ID: 2e7f50426ccf
Revises: a2f5a0132bde
Create Date: 2018-03-13 12:20:00.301645
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '2e7f50426ccf'
down_revision = 'a2f5a0132bde'
branch_labels = None
depends_on = None
def upgrade():
# ... | adyouri/lafza | migrations/versions/2e7f50426ccf_.py | 2e7f50426ccf_.py | py | 1,122 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
3332183676 | import requests
def get_info():
response = requests.get(url="https://yobit.net/api/3/info") # Получаем инфу по парам
with open("output_data/Yobit_data/info.txt", "w") as file:
file.write(response.text)
return response.text
def get_ticker(coin1="btc", coin2="usd"): # Статистика за последние 24 ч... | AydaTop1GG/Crypto-Bot | Yobit/info_parser.py | info_parser.py | py | 4,549 | python | ru | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number... |
36350752772 |
import pandas as pd
import math
from scipy import spatial
from sklearn.feature_extraction.text import TfidfVectorizer
import pickle
import nltk
nltk.download('stopwords')
nltk.download('punkt')
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
# ***********************************************... | placid-brain/50.045-IR-Project-2022 | vsm.py | vsm.py | py | 5,807 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "nltk.download",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction... |
5688096354 | # Author: Matthew Wicker
from statsmodels.stats.proportion import proportion_confint
import math
import numpy as np
import tensorflow as tf
from tqdm import trange
from . import attacks
def propagate_interval(W, b, x_l, x_u, marg=0, b_marg=0):
marg = tf.divide(marg, 2)
b_marg = tf.divide(b_marg, 2)
x_mu... | matthewwicker/BNNReachAvoid | deepbayes_prealpha/analyzers/verifiers.py | verifiers.py | py | 24,576 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "tensorflow.divide",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.divide",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tensorflow.divide",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tensorflow.math... |
10442348557 | #!/usr/bin/env python3
"""
This module reads the data in...
"""
import numpy as np
import pickle
import os.path
import random
import logging
logging.basicConfig(level=0)
# This named tuple holds the matrices which make one minibatch
class Matrices:
def __init__(self, minibatch_size, max_sent_len, ngrams):
... | janissl/SRNNMT | data_dense.py | data_dense.py | py | 7,831 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"lin... |
1877929332 | import logging
from io import SEEK_CUR
from typing import Iterable, Iterator
from .exceptions import FlvDataError
from .format import FlvDumper, FlvParser
from .io_protocols import RandomIO
from .models import BACK_POINTER_SIZE, FlvHeader, FlvTag
from .utils import AutoRollbacker, OffsetRepositor
__all__ = ... | acgnhiki/blrec | src/blrec/flv/io.py | io.py | py | 3,535 | python | en | code | 408 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "io_protocols.RandomIO",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "format.FlvParser",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "exceptions.F... |
29818055488 | # -*- coding: utf-8 -*-
"""
Created on Sat Jan 2 00:02:58 2016
@author: owner
"""
import re
import cv2
import numpy as np
from decimal import Decimal
def is_string_like(obj):
try:
obj + ''
except (TypeError, ValueError):
return False
return True
def array2string(array):
if arra... | aoikaneko/RandomTreeWalk | data_io.py | data_io.py | py | 5,361 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.floating",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "decimal.Decimal",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.floating",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "decimal.Decim... |
22024697782 | import shesha.config as conf
import shesha.constants as scons
from shesha.constants import CONST
from shesha.util import dm_util, influ_util, kl_util
from shesha.util import hdf5_util as h5u
import numpy as np
import pandas as pd
from scipy import interpolate
from shesha.sutra_wrap import carmaWrap_context, Dms
fr... | ANR-COMPASS/shesha | shesha/init/dm_init.py | dm_init.py | py | 38,187 | python | en | code | 12 | github-code | 97 | [
{
"api_name": "os.environ",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "shesha.sutra_wrap.carmaWrap_context",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "t... |
3050489486 | import json
from django.shortcuts import render
from django.core.paginator import Paginator
from django.http import HttpResponse
from django.shortcuts import redirect
from django.db.models import Q
from django.utils import timezone
from apps.pregunta.models import Pregunta, Respuesta
from apps.usuario.models import Us... | dannysho/QuestionsAnswers | apps/pregunta/views.py | views.py | py | 5,556 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "apps.pregunta.models.Pregunta.objects.all",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "apps.pregunta.models.Pregunta.objects",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "apps.pregunta.models.Pregunta",
"line_number": 18,
"... |
21399162410 | from collections import Counter
def common(str1, str2):
dict1 = Counter(str1)
dict2 = Counter(str2)
common_dict = dict1 & dict2
if len(common_dict) == 0:
return (-1)
commonChars = list(common_dict.elements())
commonChars = sorted(commonChars)
print("".join(commonChars))
if __na... | Pankaj145-pb/Front-technologies | common.py | common.py | py | 406 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.Counter",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 4,
"usage_type": "call"
}
] |
5022192318 | import csv
import collections
from data_display.utils.string_display import get_strings_from_cache
# use streams pre-emptively in case table sizes get very big
from django.http import StreamingHttpResponse
# Some copy-pasta from the django docs:
class Echo:
"""
A dummy class used to fit the "writer" inte... | BushiDokaj/VEEP-Summer-Project | data_display/io/export.py | export.py | py | 998 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.deque",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "data_display.utils.string_display.get_strings_from_cache",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 28,
"usage_type": "call"
},
{
... |
11518666025 | import argparse
from components.muc4_tools import get_event_keywords
from components.load_muc4 import load_muc4
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--all-human-names", type=str,
default="data/muc34/outputs/all-human-names.txt")
args = parser.p... | Glaciohound/Schema_Induction | source/legacy/muc4_human_names.py | muc4_human_names.py | py | 988 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "components.load_muc4.load_muc4",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "components.muc4_tools.get_event_keywords",
"line_number": 18,
"usage_type": "argume... |
39647388117 | import configparser
import os
class Config:
def __init__(self):
cur_path = os.path.dirname(os.path.realpath(__file__))
self.conf_path = os.path.join(cur_path, "spider.ini")
self.conf = configparser.ConfigParser()
self.conf.read(self.conf_path, encoding='utf-8')
def get_conf_da... | ggStuddUp/ForHer | data/congfig.py | congfig.py | py | 1,501 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_n... |
39796895547 | # -*- coding: utf-8 -*-
# Define here the models for your spider middleware
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/spider-middleware.html
from settings import USER_AGENTS
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from lxml import etree
from scrap... | jie089410/my-repository | Sina/Sina/middlewares.py | middlewares.py | py | 3,732 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "random.choice",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "settings.USER_AGENTS",
"line_number": 31,
"usage_type": "argument"
},
{
"api_name": "requests.get",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "random.choice",
... |
43214147849 | from qiskit import QiskitError
from qiskit.compiler import assemble
from qiskit.providers.aer import QasmSimulator
from .tools import mixed_unitary_noise_model, \
reset_noise_model, kraus_noise_model, no_noise, \
simple_cnot_circuit, simple_u3_circuit
# Write the benchmarking func... | vm6502q/qiskit-qrack-provider | test/benchmark/simple_benchmarks.py | simple_benchmarks.py | py | 2,986 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "qiskit.providers.aer.QasmSimulator",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "tools.simple_u3_circuit",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "qiskit.compiler.assemble",
"line_number": 39,
"usage_type": "call"
},
{
... |
25626841727 | from django.conf.urls import url
from app.views import *
urlpatterns = [
# Matches any html file - to be used for gentella
# Avoid using your .html in your resources.
# Or create a separate django app.
# url(r'^.*\.html', views.gentella_html, name='gentella'),
#新增评论
url(r'^add/$', ReviewCreate.as_... | lili1230120/HaOps | HaOps/app/urls.py | urls.py | py | 463 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 16,
"usage_type": "call"
}
] |
36418260970 | import openpyxl
def convert_result_to_excel(result,excel_file_path):
wb=openpyxl.Workbook()
sheet=wb['Sheet']
header_list=list(result[0].keys())
for c in range(len(header_list)):
sheet.cell(row=1,column=c+1).value=header_list[c]
for r in range(len(result)):
for c in range(len(header_list)):
s... | tsushoji/python-MetaAPI | src/InstagramGraphAPIPrj/convert_result.py | convert_result.py | py | 410 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "openpyxl.Workbook",
"line_number": 4,
"usage_type": "call"
}
] |
17198528432 | from django import forms
from .models import RSVP
class RSVPForm(forms.ModelForm):
class Meta:
model = RSVP
fields = ['name', 'email', 'attending', 'guests', 'address1', 'address2', 'city', 'zip_code',
'state', 'song_request']
widgets = {
'attending': forms.R... | mekhami/wedding | rsvp/forms.py | forms.py | py | 465 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "models.RSVP",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.forms.RadioS... |
29810060812 | from __future__ import annotations
from typing import Optional, Tuple
from retentioneering.backend.tracker import (
collect_data_performance,
time_performance,
track,
)
from retentioneering.constants import DATETIME_UNITS
from retentioneering.utils.doc_substitution import docstrings
from ..types import E... | retentioneering/retentioneering-tools | retentioneering/eventstream/helpers/label_cropped_paths_helper.py | label_cropped_paths_helper.py | py | 2,426 | python | en | code | 713 | github-code | 97 | [
{
"api_name": "types.EventstreamType",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "retentioneering.co... |
9797582501 | import argparse
import BLPalette
import GPLPalette
import PaletteCore
extraExt = '.extra'
argparser = argparse.ArgumentParser(
description="Convert between Blockland and GIMP palette formats",
epilog="Only provide one mode.")
argparser.add_argument('--to-gpl', metavar='FILENAME', help="convert Blockland .txt to .... | paulguy/minitools | blockland-colorset-tool.py | blockland-colorset-tool.py | py | 3,652 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "BLPalette.BLPalette",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "GPLPalette.GPLPalette",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "GPLP... |
39853772903 | import datetime
import os
import re
import pyspark.sql as psql
from seldonite import collect, sources, run
def clean_date(txt):
try:
if txt.startswith('java.util.GregorianCalendar'):
year_match = re.search('(?<=,YEAR=)\d+', txt)
month_match = re.search('(?<=,MONTH=)\d+', txt)
... | networkdynamics/event-embeddings-commodities | scripts/dataset/clean_dataset_dates.py | clean_dataset_dates.py | py | 2,210 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "re.search",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 20,
... |
18433550390 | import os
import netCDF4
import pytest
import matplotlib.pyplot as plt
import config
from weatherpy import maps
from weatherpy.radar.nexradl2 import Nexrad2Plotter
RADAR_FILE = 'Level2_KGLD_20170713_0200.nc'
radar_dataset = None
@pytest.fixture(scope='module', autouse=True)
def lazyloaddataset():
print('loadi... | wxmann/weatherpy | weatherpy/radar/tests/test_nexradl2_plot.py | test_nexradl2_plot.py | py | 2,407 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "netCDF4.Dataset",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.sep.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.sep",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "config.TEST_DATA_DIR",
"l... |
74764921598 | from aiogram import types, Dispatcher
from start.create_bot import bot, dispetcher, db
@dispetcher.message_handler(commands = ['send_message'])
async def send_message_all_user(message: types.Message):
users = await db.get_all_user()
for user in users:
await bot.send_message(user[0], message.text[13:])
... | Coo3n/SubscriptionBot | handlers/admin.py | admin.py | py | 471 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "aiogram.types.Message",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "aiogram.types",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "start.create_bot.db.get_all_user",
"line_number": 6,
"usage_type": "call"
},
{
"api_name":... |
73459346560 | from patchman.models import Plate,Brand, PlateLog, DBSession
from formencode import validators
from formencode.schema import Schema
from pyramid.httpexceptions import HTTPFound
from pyramid.renderers import render_to_response
from pyramid.view import view_config
from pyramid_uniform import Form, FormRenderer
from sqlal... | jwcastillo/patchcap | PatchMan/patchman/controller/plate_controller.py | plate_controller.py | py | 5,351 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "formencode.schema.Schema",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "formencode.validators.String",
"line_number": 22,
"usage_type": "call"
},
{
"api_name"... |
74695419200 | import cv2
import json
import numpy as np
class Parameters:
"""
Parameters used for transferring between camera view and Bird Eye view,
and between Bird Eye view and lat / lon
List of Parameters:
unwarp_M: The matrix used for unwarping (from Camera view to Bird Eye View)
unwarp_M... | CATT-Works/MoveOver | cav/parameters.py | parameters.py | py | 7,613 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "numpy.float32",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "cv2.getPerspectiveTransform",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "cv2.getPerspe... |
23011919671 | import math
from ultralytics import YOLO
import cv2
from gtts import gTTS
import os
cap = cv2.VideoCapture(0)
frame_width = int(cap.get(3))
frame_height = int(cap.get(4))
out = cv2.VideoWriter('output.avi', cv2.VideoWriter_fourcc('M', 'J', 'P', 'G'), 10, (frame_width, frame_height))
model = YOLO('yolov8n.pt')
class... | akhilasok96/smart_blind_stick | yolov8_webcam.py | yolov8_webcam.py | py | 2,692 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter_fourcc",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "ultralytics.YO... |
27940467771 | import openpyxl
from openpyxl.styles import Font
import datetime
import re
filename = 'spendings.xlsx'
wb = openpyxl.load_workbook(filename)
ws_names = wb.sheetnames
print(wb.sheetnames)
sheetname = input('What sheet do you need? T/O: ')
sheet_index = ws_names.index(sheetname)
wb.active = sheet_index
def counting... | tarikkus-lviv/excel-automation | Excel.py | Excel.py | py | 1,985 | python | uk | code | 0 | github-code | 97 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "openpyxl.styles.Font",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": ... |
72963222399 |
import argparse
import json
import sys
from omero.gateway import BlitzGateway
from omero.cli import cli_login
from omero.model import StatsInfoI
from omero.rtypes import rdouble
# For an Image (ID), set min/max values for channel stats
# Usage: python set_channel_minmax.py 3453 '{"0":[0,2000], "1":[1, 1100]}'
def m... | will-moore/python-scripts | set_channel_minmax.py | set_channel_minmax.py | py | 1,448 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "omero.cli.cli_login",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "omero.gateway.BlitzGateway",
"line_number": 22,
"usage_type": "call"
},
{
"api_name":... |
73639559039 | from numpy import linalg as la
from .utils import rec_from_factors
def PoF(X, factors, mask=None):
"""
The percentage of fitness (POF) metric
INPUT:
- <tensor> X: the original tensor
- <tensor> rec: the reconstructed tensor
OUTPUT:
- <scalar> PoF_metric: the metric, higher is be... | ycq091044/GOCPT | GOCPT/metrics.py | metrics.py | py | 583 | python | en | code | 6 | github-code | 97 | [
{
"api_name": "utils.rec_from_factors",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "utils.rec_from_... |
3645178591 | # inputs 文件夹和 testplans 中获得输入，生成 json 格式的测试用例
import json
from subprocess import run, PIPE
from os import path
join = path.join
def execf(params):
p=run(['./source/a.out']+params, stdout=PIPE)
return(p.stdout)
with open('./testplans.alt/universe') as fr:
plans = fr.readlines()
res=[]
for item in plans... | Liu233w/theoretical-evaluation | tools/tcas/run-all.py | run-all.py | py | 601 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "subprocess.run",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_nu... |
34920283402 | import logging
import asyncio
from aiogram import Bot, Dispatcher, types
from aiogram.contrib.fsm_storage.memory import MemoryStorage
from aiogram.dispatcher.filters.state import State, StatesGroup
# работа с базой данных
from sqlalchemy import create_engine
from sqlalchemy.orm import Session, sessionmaker
import base... | Sanich137/line_by_line_translation_teacher_tgBOT | main.py | main.py | py | 8,826 | python | ru | code | 0 | github-code | 97 | [
{
"api_name": "aiogram.dispatcher.filters.state.StatesGroup",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "aiogram.dispatcher.filters.state.State",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "aiogram.dispatcher.filters.state.State",
"line_number": 3... |
17357251796 | from DNNCTF import DNNCTF
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
DATASET = 'iris.data'
MODEL = 'model'
df = pd.read_csv(DATASET, header=None)
data = df.iloc[:, :-1]
target = df.iloc[:,-1]
x_train, x_test, y_train, y_test = train_test_split... | GabrieleMaurina/workspace | python/tensorflow-iris/DNNCTFTest.py | DNNCTFTest.py | py | 829 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "DNNCTF.DNNCTF",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": ... |
42870390102 | from abc import ABCMeta, abstractmethod
from collections import OrderedDict
from blenderneuron.activity import Activity
class RootGroup:
__metaclass__ = ABCMeta
def __init__(self):
self.name = ""
self.roots = OrderedDict()
self.import_synapses = False
self.interact... | JustasB/BlenderNEURON | blenderneuron/rootgroup.py | rootgroup.py | py | 2,184 | python | en | code | 25 | github-code | 97 | [
{
"api_name": "abc.ABCMeta",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "collections.OrderedDict",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "blenderneuron.activity.Activity",
"line_number": 22,
"usage_type": "call"
}
] |
37087917644 | import unittest
import tempfile
import os
import sys
import pathlib
import contextlib
HERE = pathlib.Path(__file__).absolute().parent
# print(HERE.parent)
sys.path.insert(0, str(HERE.parent))
IMGUI_H = HERE.parent / 'libs/imgui/imgui.h'
from pycpptool.get_tu import get_tu
from clang import cindex
... | ousttrue/pycpptool | tests/test_imgui.py | test_imgui.py | py | 4,137 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "tempfile.mkstemp",
"lin... |
43046141213 | from django.urls import path
from .views import *
urlpatterns = [
path('addtocart/<int:pk>/', add_to_cart, name='addtocart'),
path('cart/', cart_view, name='cart'),
path('remove/<int:pk>/', remove_from_cart, name='removecart'),
path('increase/<str:pk>/', increase_cart, name='increasecart'),
path('d... | SreeHari3232/ecom | ecom/order/urls.py | urls.py | py | 378 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
37794935677 | from asyncpg.connection import Connection
class DBWorker:
def __init__(self, conn: Connection):
self.conn = conn
async def get_all_tokens_output(self):
sql = """select tot."id", u."id" as user_id, tot.tokens, u."bep_address",tot.created_date_time from "tokens_output" tot join "user" u on ... | OneZeroZeroOneOne/SafeBull | api/database/db_worker.py | db_worker.py | py | 563 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "asyncpg.connection.Connection",
"line_number": 4,
"usage_type": "name"
}
] |
11987062307 | import torch
import numpy as np
from frac_brownian import frac_brownian
# Sampling
def fcir(r0, a, b, sigma, H, m, n, T, device=None, seed=123):
"""
Inputs:
r0: float tensor of shape (m,1), initial rates
a: float tensor of shape (m), long term mean level
b: ... | FalconX777/stochastics_models | src/frac_cir.py | frac_cir.py | py | 1,329 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.manual_seed",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.cuda.manual_seed",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.ones",... |
38315816568 | import gevent
from gevent import getcurrent
from gevent.pool import Group
group = Group()
def hello_from(n):
print('Size of group', len(group))
print('Hello from Greenlet %s' % id(getcurrent()))
group.map(hello_from, xrange(3))
def intensive(n):
gevent.sleep(3 - n)
return 'task', n
print('Ordered')... | madchoy/Lab | gevent/group/test.py | test.py | py | 1,137 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "gevent.pool.Group",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "gevent.getcurrent",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "gevent.sleep",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "gevent.pool.Group",
... |
17245624864 | """Charge subscriptions' spending to a cost centre."""
from datetime import date, timedelta
from typing import Any, Dict, List, Optional
from uuid import UUID
import sqlalchemy
from fastapi import Depends, HTTPException
from pydantic import BaseModel
from sqlalchemy import and_, between, desc, func, insert, select
fr... | alan-turing-institute/rctab-api | rctab/routers/accounting/cost_recovery.py | cost_recovery.py | py | 8,437 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",... |
40049868609 | """The module contains a base class for Mediator,
from which is inherited in all blockchain mediators.
Author: Jan Jakub Kubik (xkubik32)
Date: 14.3.2023
"""
import random
from abc import ABC, abstractmethod
from typing import Any, Dict, List, Optional, Set
from base.logs import create_logger
class ActionObjectStor... | Jakub-Kubik/smasf | base/simulation_manager_base.py | simulation_manager_base.py | py | 6,639 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.Dict",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 3... |
74138117759 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#----------------------------------------------------------------------------
# Created By : SpeedCode210
# version ='2.0'
# System dependencies : tar, gzip
# Pip dependencies : Pillow
# ---------------------------------------------------------------------------
"""Builds... | SpeedCode210/SmartPackager | flatpaksourcebuild.py | flatpaksourcebuild.py | py | 1,549 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.get_terminal_size",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.get_terminal_size",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.system",
"... |
22600992622 | import os
import unittest
import numpy as np
from common import (
j_loader,
)
from deepmd.descriptor import (
DescrptSeA,
)
from deepmd.env import (
tf,
)
GLOBAL_ENER_FLOAT_PRECISION = tf.float64
GLOBAL_TF_FLOAT_PRECISION = tf.float64
GLOBAL_NP_FLOAT_PRECISION = np.float64
#
from common import (
tes... | CGCL-codes/G4S | deepmd/source/tests/test_nvnmd_se_a.py | test_nvnmd_se_a.py | py | 4,494 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "deepmd.env.tf.float64",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "deepmd.env.tf",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "deepmd.env.tf.float64",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "d... |
28431823133 | import os
from configparser import ConfigParser
import threading
import signal
import csv
import zmq
import random
import time
def main():
"""
This data feeder simulates the idea of having a constant stream of data entering
our system, by reading csv files and pushing them row by row (as dicts) to the DAG
... | FdelMazo/7574-Distribuidos | TP2/feeder/main.py | main.py | py | 3,038 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "threading.Ev... |
21130950579 | import functools
import types
import typing
from http import client
from timeit import default_timer
from typing import Collection, Dict
from urllib.request import ( # pylint: disable=no-name-in-module,import-error
OpenerDirector,
Request,
)
from opentelemetry import context
# FIXME: fix the importing of thi... | open-telemetry/opentelemetry-python-contrib | instrumentation/opentelemetry-instrumentation-urllib/src/opentelemetry/instrumentation/urllib/__init__.py | __init__.py | py | 9,160 | python | en | code | 527 | github-code | 97 | [
{
"api_name": "opentelemetry.util.http.get_excluded_urls",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "typing.Callable",
"line_number": 38,
"usage_type": "attribute"
},
{
... |
22100448182 | from typing import Any, List, Tuple
from .constants._sync_mode import ASYNC
from .opencv._cv_border_types import BORDER_DEFAULT
from ..native import make_native_object
import sys
matx = sys.modules['matx']
class _LaplacianBlurOpImpl:
""" LaplacianBlur Impl """
def __init__(self,
device: Any... | bytedance/matxscript | python/matx/vision/laplacian_blur_op.py | laplacian_blur_op.py | py | 3,723 | python | en | code | 363 | github-code | 97 | [
{
"api_name": "sys.modules",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "typing.Any",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "opencv._cv_border_types.BORDER_DEFAULT",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "nat... |
4855826548 | import requests
import streamlit as st
nome_do_filme = st.text_input('Choose Your Movie: ')
if st.button('Consultar Filmes'):
#é recomendado procurar filmes populares. Link fonte não possui um banco de dados extenso
link = 'https://www.omdbapi.com/?apikey=90c1591a&t=' + nome_do_filme
dvd = requests.get(lin... | natalyabreu/TrabalhoJosir | trabalhoA2.py | trabalhoA2.py | py | 1,368 | python | pt | code | 0 | github-code | 97 | [
{
"api_name": "streamlit.text_input",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "streamlit.button",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
... |
40744001556 | # drunktweet.py
'''
Print out possible drunk tweets from anywhere in the world.
Usage: ./drunktweet.py London, UK
'''
import regex
import requests
import json
import simplejson, urllib
import sys
def geosearch(query):
args = {
'address': query,
'sensor': 'false',
}
googurl = "http://maps.... | diffra/DrunkTweet | drunktweet.py | drunktweet.py | py | 1,612 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "urllib.urlencode",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "simplejson.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib.urlopen",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "regex.compile",
"... |
12935489021 | import random
import sqlite3
class Account:
@staticmethod
def get_card_checksum(card_number: str) -> int:
numbers_sum = 0
for index in range(15):
number = int(card_number[index])
if index % 2 == 0:
number *= 2
if number > 9:
... | cecilemangel/simple-banking-system | banking.py | banking.py | py | 6,555 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "random.randint",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 37,
"usage_type": "call"
}
] |
17448857102 | import pandas as pd
import geopandas as gpd
from shapely.geometry import Point, LineString
from .utils import report_progress
from .lsm import snap_to_waterbodies
import warnings
def get_dm_nodes(dw_keys_df, district, mz_type ="d", out_type=int):
df = dw_keys_df[dw_keys_df.oid == district]
dm_nodes = [out_ty... | d2hydro/lhm-ribasim | src/lhm/dm.py | dm.py | py | 5,612 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "geopandas.GeoDataFrame",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "geopandas.GeoDataFrame",
"line_number": 32,
"usage_type": "attribute"
},
{
"api... |
40457677958 | from odoo import models, _
import logging
_logger = logging.getLogger(__name__)
class PaymentTransaction(models.Model):
_inherit = 'payment.transaction'
# Override to confirm payments totaling the amount_total_deposit
def _check_amount_and_confirm_order(self):
self.ensure_one()
for order... | hibou-io/hibou-odoo-suite | sale_payment_deposit/models/payment.py | payment.py | py | 1,436 | python | en | code | 38 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "odoo.models.Model",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "odoo._",
"line_... |
1014172936 | from django.urls import path
from .views import PlanCreateAPIView, PlanListAPIView, PlanRetrieveUpdateDestroyAPIView
urlpatterns = [
# subscriptions plan urls
path("", PlanListAPIView.as_view(), name="list_subscriptions"),
path("<str:id>/", PlanRetrieveUpdateDestroyAPIView.as_view(), name="create_retriev... | codertjay/upwork_clone | plans/urls.py | urls.py | py | 419 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.PlanListAPIView.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.PlanListAPIView",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "dja... |
70013549440 | # Pygame library
import pygame
# Dash Display
class Dash(pygame.sprite.Sprite):
# Properties
surface = pygame.Surface((150,40))
font = None
# Constructor
def __init__(self):
"""
Entrée: None
Sortie: None
"""
# Call Sprite Constructor
pygame.sprite.Sp... | magnetic2247/shifty-legacy | game/dash.py | dash.py | py | 1,142 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pygame.sprite",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.Surface",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pygame.... |
27891558150 | import requests, urllib, re, os, json, pyrebase
from bs4 import BeautifulSoup as BS
import txt
# print(txt.user)
session = requests.session()
pageURL = 'https://zenpencils.com/'
page = session.post(pageURL)
# print(page.text)
# Home Page details
# Finding total number of pages
homepage = BS(page.text,"html.parser").fin... | jyotish09/GetUp | scraper/zenPencils.py | zenPencils.py | py | 725 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.session",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "txt.db.child",
"line... |
26856930306 | import queue
import time
import pytest
from johnsnowlabs import nlp, settings
from johnsnowlabs.auto_install.databricks.install_utils import (
cluster_exist_with_name_and_runtime,
get_db_client_for_token,
get_cluster_id,
wait_till_cluster_running,
_get_cluster_id,
)
from johnsnowlabs.auto_install.... | JohnSnowLabs/johnsnowlabs | tests/databricks/db_test_utils.py | db_test_utils.py | py | 6,685 | python | en | code | 33 | github-code | 97 | [
{
"api_name": "pytest.fixture",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "tests.utilsz.secrets.db_... |
74653638717 | import json
from rdflib import Graph, Namespace, URIRef, Literal
from modules.mention_handler import MentionHandler
from modules.attribute_handler import AttributeHandler
from modules.entity_handler import EntityHandler
from modules.relation_handler import RelationHandler
from modules.coref_handler import CorefHandler
... | mjstrobl/KGP_from_Conversations | modules/pipeline.py | pipeline.py | py | 2,646 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "rdflib.Namespace",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "modules.mention_handler.MentionHandler",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "modules.attribute_handler.AttributeHandler",
"line_number": 24,
"usage_type": "ca... |
33337791335 | #!/usr/bin/python3
"""class BaseModel"""
import uuid
from datetime import datetime
import time
import models
class BaseModel:
"""class BaseModel defines common sttributes for all classes"""
def __init__(self, *args, **kwargs):
"""initializes object"""
if kwargs:
for key, value i... | jofurdz/AirBnB_clone | models/base_model.py | base_model.py | py | 1,393 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "uuid.uuid4",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.date... |
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