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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
42101049308 | from django import forms
from models import *
class Messageform(forms.ModelForm):
class Meta:
model=Messages_Orgs
exclude = ('sender_org_id',)
class Notificationform(forms.ModelForm):
class Meta:
model=Notifications_Org
fields=('target_org_id','is_message_from_org','message_from... | sairamkolla/Disaster-management-Portal | portal/organisation/forms.py | forms.py | py | 416 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelForm",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "dja... |
24894235664 | import pytest
from collections import Counter
from src.encoding import Encryptor
@pytest.mark.parametrize("word,cant_be_shuffled", [
('b', True),
('big', True),
('biiig', True),
('home', False),
('aloha', False)
])
def test_shuffle_word(word, cant_be_shuffled):
b = Encryptor('')
if cant_b... | stasius12/weird-text | tests/test_encoding.py | test_encoding.py | py | 1,132 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "src.encoding.Encryptor",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "src.enc... |
34748902732 | """Update content metadata for websites based on a specific starter""" # noqa: INP001
from django.db import transaction
from main.management.commands.filter import WebsiteFilterCommand
from websites.models import WebsiteContent, WebsiteStarter
from websites.site_config_api import SiteConfig
from websites.utils import... | mitodl/ocw-studio | websites/management/commands/set_content_metadata_to_default.py | set_content_metadata_to_default.py | py | 2,974 | python | en | code | 7 | github-code | 71 | [
{
"api_name": "main.management.commands.filter.WebsiteFilterCommand",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "websites.models.WebsiteContent.objects.filter",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "websites.models.WebsiteContent.objects",
"... |
20155310996 | from selenium.webdriver.common.by import By
from scrapers.abstract import AbstractScraper
from scrapers.websites import BASEBALL_PRESS_URL
from models.mlb.lineup import MlbLineup
class MlbLineupScraper(AbstractScraper):
def __init__(self):
super().__init__(BASEBALL_PRESS_URL)
def get_resource(self, a... | alancovarrubias/sports-app | crawler/src/scrapers/mlb/lineup.py | lineup.py | py | 591 | python | en | code | 2 | github-code | 70 | [
{
"api_name": "scrapers.abstract.AbstractScraper",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "scrapers.websites.BASEBALL_PRESS_URL",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "selenium.webdriver.common.by.By.CLASS_NAME",
"line_number": 15,
... |
5914655433 | import datetime
import dropbox
import logging
#---------------------------------------------------------------------------
# Modify
#---------------------------------------------------------------------------
MAX_CONTENT_AGE = 100
DISPLAY_ONLY_MODE = True
TOKEN = "YOUR-DROPBOX-BUSINESS-TEAM-MEMBER-FILE-ACCESS-TOKEN"
L... | chadduffey/DropboxBusinessPurgeOldItems | dropboxpurge.py | dropboxpurge.py | py | 4,902 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "dropbox.DropboxTeam",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.IN... |
73789020391 | import os
import sys
from services.proto import delete_pb2 as dpb
from utils.articles import delete_article, get_article, get_sharers_of_article
HOSTNAME_ENV = 'HOST_NAME'
class ReceiveDeleteServicer:
def __init__(self, logger, db, activ_util, users_util, hostname=None):
self._logger = logger
sel... | CPSSD/rabble | services/activities/delete/receive_delete_servicer.py | receive_delete_servicer.py | py | 2,506 | python | en | code | 7 | github-code | 71 | [
{
"api_name": "os.environ.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "utils.articles.get_article",
... |
43209170618 | import enum
import typing
from dataclasses import dataclass, field
# Number of feet in a meter
M_2_FT = 3.28084
KM_2_MI = 0.621371
SPEED_OF_LIGHT = 299792458
EARTH_RADIUS_KM = 6371
EARTH_RADIUS_M = EARTH_RADIUS_KM * 1000
FREQUENCY_CHOICES = [
(2.437, "2.4 GHz"),
(3.6, "3.65 GHz"),
(5.4925, "5 GHz"),
... | facebookincubator/ISPToolbox | webserver/workspace/models/model_constants.py | model_constants.py | py | 2,009 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "enum.Enum",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "typing.Dict",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "dataclasses.field",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "dataclasses.datacla... |
29951209622 | import threading
import wx
from wx.lib.utils import AdjustRectToScreen
import plover.gui.util as util
from plover.dictionary_editor_store import DictionaryEditorStore
from plover.dictionary_editor_store import COLUMNS
from plover.dictionary_editor_store import COL_STROKE
from plover.dictionary_editor_store import COL_T... | PBrunot/StenturaArduino | Software/plover-copy/plover/gui/dictionary_editor.py | dictionary_editor.py | py | 12,385 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "plover.dictionary_editor_store.COLUMNS",
"line_number": 24,
"usage_type": "argument"
},
{
"api_name": "wx.Dialog",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "wx.Dialog.__init__",
"line_number": 34,
"usage_type": "call"
},
{
"api_... |
21096060593 | from art import logo
from menu import Menu, MenuItem
from coffee_maker import CoffeeMaker
from money_machine import MoneyMachine
coffe_maker = CoffeeMaker()
menu = Menu()
money_machine = MoneyMachine()
print(logo)
is_on = True
while is_on:
choice = input(f'What would you like? ({menu.get_items()}): ')
if ch... | FaraiMajor/100DaysOfCode | day16/main.py | main.py | py | 882 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "coffee_maker.CoffeeMaker",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "menu.Menu",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "money_machine.MoneyMachine",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "art.logo",... |
4062095637 | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
# ================================================================================================ #
# Project : Atelier AI: Studio for AI Designers #
# Version : 0.1.4 ... | john-james-ai/atelier-ai | atelier/persistence/odb.py | odb.py | py | 7,370 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "atelier.persistence.database.Database",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "os.makedirs",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.... |
33056793099 | import os
import cv2
import numpy as np
from keras.preprocessing.image import img_to_array, load_img
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder
import keras
import tensorflow as tf
import PIL
from keras.applications.resnet50 import ResNet50
from keras.applicati... | RituparnaAdha/cs6910 | Assignment2/partb/question1_2.py | question1_2.py | py | 8,813 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "os.listdir",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "keras.regularizers.l2",
"line_number": 73,
"usage_type": "name"
},
{
"api_name": "tensorflow.keras.preprocessing.image.ImageDataGenerator",
"line_number": 75,
"usage_type": "call"
},
... |
29940116142 | from numpy import zeros, ones, sin, cos, uint8, pi
from sys import argv
from tqdm import tqdm
from png import Writer
try: from PIL.Image import open as iopen
except ImportError: from Image import open as iopen
class DoublePendulum():
def __init__(self, thetas): self.t, self.td, self.l, self.m = thetas, zeros... | donno2048/DP-render | main.py | main.py | py | 2,049 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "numpy.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 10,
... |
31944790328 | ####################################################
# # mission_to_mars
# ----
#
# Written in the Python 3.7.9 Environment
#
# By Nicole Lund
#
# This Python script scrapes Mars space data from various
# locations for storage in a Pymongo DB and display on a webpage.
##############################################... | NicoleLund/webScraping-MarsNews | 1-Missions_to_Mars/scrape_mars.py | scrape_mars.py | py | 6,282 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "pandas.read_html",
... |
37214674983 | import requests
import aiohttp
import asyncio
from bs4 import BeautifulSoup
import pandas as pd
import re
import time
ROOT = "https://www.coursera.org/"
async def async_get_course(session, url_course):
async with session.get(url_course) as res:
response = await res.content.read()
return respon... | bartosz-bear/bapi | bapi_django/bapi_scrape/scripts/courses/scrape.py | scrape.py | py | 7,271 | python | en | code | 2 | github-code | 70 | [
{
"api_name": "aiohttp.ClientSession",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "asyncio.ensure_future",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "asyncio.gather",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "requests.g... |
26472759863 | #!/usr/bin/env python3
import torch
import torch.nn.functional as F
from regilib.core.invertible_modules.invertible_module import InvertibleModule
class SphericalStereographicProjection(InvertibleModule):
def forward(self, ds, **kwargs):
phi, Theta = ds['state'].T
# unit-sphere -> polar
... | Bawaw/pdm_tutorial | regilib/regilib/core/invertible_modules/charts/spherical_stereographic_projections.py | spherical_stereographic_projections.py | py | 1,146 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "regilib.core.invertible_modules.invertible_module.InvertibleModule",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.sin",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.cos",
"line_number": 13,
"usage_type": "call"
},
{
... |
34425314647 | import tensorflow as tf
import numpy as np
from scipy import ndimage
# zoom
@tf.function
def zoom(volume):
"""Zoom the volume by a few degrees"""
volume_shape = volume.shape
def augment_volume(volume):
min_zoom = 0.8
max_zoom = 1.2
z = np.random.sample() *(max_zoom-min_zoom) + ... | liherz/functional_outcome_prediction_dl_vs_neurologists | python/functions/augmentation3d.py | augmentation3d.py | py | 2,492 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.random.sample",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.affin... |
20678061391 | from datetime import datetime as dt
from datetime import timedelta
ca_breaks = list()
sa_breaks = list()
all_break_dicts = list()
all_break_objs = list()
idCount = 0
class team_member:
# No need to calculate all breaks at once just the next one for each person
def __init__(self, name='', time_in='', tim... | jake-wilcox/myBreaks | server/Classes.py | Classes.py | py | 9,089 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 71,
"usage_type": "call"
},
{
"api_name"... |
69968227430 | import os
import tensorflow as tf
import numpy as np
import cv2
from glob import glob
from tqdm import tqdm
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2"
if __name__ == "__main__":
test_images = glob("segmentation_full_body_tik_tok_2615_img/images/*")
model = tf.keras.models.load_model("weights/best.h5", compile=F... | EvelinaAlexiutenko/TikTok-full-body-segmentation | test.py | test.py | py | 1,221 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflo... |
17637051548 | import http
from flask_restx import Namespace,Resource,fields
from flask_jwt_extended import jwt_required,get_jwt_identity
from ..models.orders import Order
from ..models.users import User
from http import HTTPStatus
from ..utils.db import db
order_namespace=Namespace('orders',description="Namespace for orders")
o... | jod35/Build-And-Deploy-A-REST-API-With-Flask | api/orders/views.py | views.py | py | 5,416 | python | en | code | 16 | github-code | 71 | [
{
"api_name": "flask_restx.Namespace",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_restx.fields.Integer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask_restx.fields",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "f... |
12001025333 | #!/usr/bin/env python
#
# implements Python DBAPI 2.0
# see PEP 249 (http://www.python.org/dev/peps/pep-0249/)
import re
import base64
import decimal
from SPARQLWrapper.Wrapper import SELECT, INSERT, DELETE, MODIFY
# CONSTRUCT
# ASK
# DESCRIBE
class Error(Exception):
pass
class SparqlSyntaxError(Exception):
... | rfloriano/semantic-django | semantic/rdf/backends/virtuoso/dbapi.py | dbapi.py | py | 7,484 | python | en | code | 31 | github-code | 71 | [
{
"api_name": "SPARQLWrapper.Wrapper.SELECT",
"line_number": 100,
"usage_type": "name"
},
{
"api_name": "SPARQLWrapper.Wrapper.INSERT",
"line_number": 102,
"usage_type": "name"
},
{
"api_name": "SPARQLWrapper.Wrapper.DELETE",
"line_number": 103,
"usage_type": "name"
},
... |
40649643684 | # This script computes the mutual information (MI) from the covariance between atomic displacements
import numpy as np
import time
from numpy import linalg as LA
import csv
import exclusion as ex
import MDAnalysis as mda
import MDAnalysis.analysis.encore.covariance as covar
import MDAnalysis.analysis.pca as pca
import... | dahlpete/community-network-analysis | g_correlation.py | g_correlation.py | py | 3,694 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.zeros",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 48,
... |
23491876716 | import logging
from cubicweb_francearchives.dataimport import es_bulk_index
from cubicweb_elasticsearch.es import get_connection
def get_es_connection(cnx, index_name, log):
es = get_connection(
{
"elasticsearch-locations": cnx.vreg.config["elasticsearch-locations"],
"index-name"... | culturecommunication/francearchives-cubicweb | cubicweb_francearchives/esutils.py | esutils.py | py | 1,994 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "cubicweb_elasticsearch.es.get_connection",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cubicweb_francearchives.dataimport.es_bulk_index",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 57,
"usage_ty... |
72998817181 | import json
import sys
from argparse import ArgumentParser
import jsonschema
from pyrandall import commander
from pyrandall.hookspecs import get_plugin_manager
from pyrandall.spec import SpecBuilder
from pyrandall.types import Flags
FLAGS_MAP = {
"simulate": Flags.SIMULATE,
"validate": Flags.VALIDATE,
"s... | kpn/pyrandall | pyrandall/cli.py | cli.py | py | 3,231 | python | en | code | 2 | github-code | 69 | [
{
"api_name": "pyrandall.types.Flags.SIMULATE",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pyrandall.types.Flags",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pyrandall.types.Flags.VALIDATE",
"line_number": 14,
"usage_type": "attribute"
... |
34749838746 | from django.urls import include, path
from .views import ModelViewSet
model_list = ModelViewSet.as_view(
{
"get": "list",
"post": "create",
"delete": "destroy_list",
"put": "update_list",
}
)
model_details = ModelViewSet.as_view(
{"get": "retrieve", "put": "update", "patch"... | waqqas/toastmasters | model_api/urls.py | urls.py | py | 530 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "views.ModelViewSet.as_view",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "views.ModelViewSet",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "views.ModelViewSet.as_view",
"line_number": 13,
"usage_type": "call"
},
{
"api_name":... |
37018105926 | from urllib.error import URLError
import pandas as pd
import requests
import snowflake.connector
import streamlit
def requests_fruityvice(fruit: str):
URL: str = "https://fruityvice.com/api/fruit/"
try:
response: requests.Response = requests.get(f"{URL}{fruit}")
return pd.json_normalize(respo... | duartevitor-alt/first_streamlit_app | streamlit_app.py | streamlit_app.py | py | 2,799 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "requests.Response",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.json_normalize",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "streamlit.t... |
24741478556 | import torch
from packaging import version
import numpy as np
import os
import torch.distributed as dist
if version.Version(torch.__version__) >= version.Version('1.0.0'):
from torch import _softmax_backward_data as _softmax_backward_data
else:
from torch import softmax_backward_data as _softmax_backward_data
c... | dinkofranceschi/ViT | utils/ops.py | ops.py | py | 4,858 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "packaging.version.Version",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "packaging.version",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.__version__",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch... |
26534374319 | """empty message
Revision ID: 1f119f1ea852
Revises: ef4f5d0dce05
Create Date: 2022-10-19 09:00:38.826310
"""
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
from alembic import op
# revision identifiers, used by Alembic.
revision = "1f119f1ea852"
down_revision = "ef4f5d0dce05"
branch_labels = Non... | Sailing-Ranking/sailing-ranking-backend | alembic/versions/1f119f1ea852_.py | 1f119f1ea852_.py | py | 1,291 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "alembic.op.add_column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.dialect... |
35754887412 | import datetime
import os
import time
from copy import deepcopy
from urllib.parse import quote
from uuid import UUID, uuid4
from django import forms as django_forms, http
from django.conf import settings
from django.core.exceptions import PermissionDenied
from django.core.files.storage import default_storage as storag... | mozilla/addons-server | src/olympia/devhub/views.py | views.py | py | 73,365 | python | en | code | 844 | github-code | 71 | [
{
"api_name": "olympia.core.logger.core.logger.getLogger",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "olympia.core.logger.core",
"line_number": 87,
"usage_type": "attribute"
},
{
"api_name": "olympia.core.logger",
"line_number": 87,
"usage_type": "name"
}... |
3713955686 | import sys
from setuptools import setup, find_packages
REQUIRE = [
'google_apputils>=0.2',
]
if sys.version_info < (2, 5):
REQUIRE += [
'cElementTree>=1.0',
]
if sys.version_info < (2, 6):
REQUIRE += [
'simplejson>=2.0',
]
MOE_STUBS = [
('moe', 'RunMoe'),
('m... | google/MOE-py | setup.py | setup.py | py | 1,085 | python | en | code | 6 | github-code | 71 | [
{
"api_name": "sys.version_info",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.version_info",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "setuptools.setup",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "setuptool... |
11451450163 | from halo_defs import mem, halo, frange
import halo_defs as H
import numpy as np
import atexit, signal, sys
from scipy.io import FortranFile
from tqdm import tqdm
from multiprocessing import Pool
#///////////////////////////////////////////////////////////////////////
#*************************************************... | syj3514/halomaker_python | input_output.py | input_output.py | py | 26,434 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "halo_defs.numero_step",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "halo_defs.numero_step",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "halo_defs.data_dir",
"line_number": 30,
"usage_type": "attribute"
},
{
"api... |
32297013547 | """
Pre-processing for the Cornell Movie-Dialogs Corpus.
"""
from __future__ import print_function
import os
import random
import re
import numpy as np
import config
############# Process raw text files
def getLineId2LineTextDictionary():
"""
Parse movie_lines.txt and return dictionary of lineId to lineTe... | mshahriarinia/stanford_tf_for_dl_research | 13_02_chatbot/data.py | data.py | py | 10,927 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "config.DATA_PATH",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"l... |
32612537096 | """
General Message:
usage:
GeneralMessage.encode(msg_type=GeneralMessage.LOGIN, msg_body)
GeneralMessage.decode(data)
`msg_type`：消息类型
`msg_body`: 消息体, 一定要是个`dict`，默认值是{}
`data`：需要解码的bytes数据
`msg_type`:
LOGIN 登入， [username,password]
LOGOUT 登出, user_id
REGIS... | sillywutong/simple-chat-room | common/message/GeneralMessage.py | GeneralMessage.py | py | 6,514 | python | en | code | 4 | github-code | 71 | [
{
"api_name": "struct.pack",
"line_number": 123,
"usage_type": "call"
},
{
"api_name": "common.utils.long_to_bytes",
"line_number": 145,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"line_number": 169,
"usage_type": "call"
},
{
"api_name": "common.utils.Bu... |
33554545508 | # -*-coding:UTF-8 -*-
from transformers import BertTokenizer
import json
import random
import torch
from torch.utils.data import TensorDataset
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.preprocessing import normalize
im... | hyejinhyun/NLPG_bert | BertForMaskedLM/keyword_list.py | keyword_list.py | py | 4,096 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "nltk.download",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "transformers.BertTokenizer",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwo... |
29828693576 | import selfbotUtils
import asyncio
async def main():
print(
await client.redeem_gift("avbc")
) # Redeems a discord gift; (Nitro); might raise exceptions.
await client.close()
client = selfbotUtils.Client("token")
asyncio.run(main())
| adam757521/selfbotUtils | examples/redeemer.py | redeemer.py | py | 259 | python | en | code | 5 | github-code | 71 | [
{
"api_name": "selfbotUtils.Client",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "asyncio.run",
"line_number": 14,
"usage_type": "call"
}
] |
550542772 | """
Write a program that performs base conversion. The input is a string, an integer b_1, and another
integer b_2. The string represents an integer in base b_1. The output should be the string
representing the integer in base b_2. Assume 2 <= b_1, b_2 <= 16.
Use A to represent 10, B for 11, etc. and F for 16.
Solut... | RootofalleviI/Python-algo | notes/6.2 base_conversion.py | 6.2 base_conversion.py | py | 1,367 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "functools.reduce",
"line_number": 24,
"usage_type": "call"
}
] |
71896645351 | from ltp.settings import *
import jieba
with open('r.txt','w+',encoding='utf-8') as f:
for i,item in enumerate(comment_collection.find({'baidu_result': {'$ne': None}})):
if i%100==0:
print(i)
baidu_result = item['baidu_result']
if baidu_result == 'error':
... | xudaashuai/ChanXueYanCrawl | test_re.py | test_re.py | py | 647 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "jieba.cut",
"line_number": 12,
"usage_type": "call"
}
] |
28378901971 | from flask import Flask, jsonify
from flask_cors import CORS
from companyupdater import CompanyUpdater
# Initialize the Flask app.
application = Flask(__name__)
# Only allow requests from React app.
CORS(application, resources={r"/*": {"origins": "*"}})
# Update interval is 5 minutes.
# 5 minutes to seconds is 5 * 6... | bojanstef/cannastockcap-backend | application.py | application.py | py | 1,020 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "companyupdater.CompanyUpdater",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.jsonify... |
41392379586 | import cassandra as cas
import cassandra.cluster
import cassandra.query
import cassandra.auth
import cassandra.policies
from .config import config_ev_cql
import gc
class CqlConn:
def __init__(self):
""" connect to Cassandra cluster """
# connect to cluster
self.cluster = cas.cluster.Cluste... | satzbeleg/evidence-restapi | app/cqlconn.py | cqlconn.py | py | 5,388 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "cassandra.cluster.Cluster",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cassandra.cluster",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "config.config_ev_cql",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": ... |
43304778602 | import requests
import pandas as pd
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from bs4 import BeautifulSoup
from datetime import datetime as dt
from time import sleep
... | CaioGunz/Coleta-Automatica-Ecommerce | Coleta Amazon/coletaDadosAnuncianteAmazonSelenium/coletaDadosAnunciante.py | coletaDadosAnunciante.py | py | 5,829 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "datetime.datetime.now",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 17,
"usage_type": "call"
},
{
... |
42852702673 | from django.shortcuts import render, get_object_or_404, Http404
from django.http import HttpResponseRedirect, HttpResponse
from django.urls import reverse
from django.views import generic
from django.core.files.storage import FileSystemStorage
from django.utils import timezone
from django.db import models
from django.c... | YunZhi246/QwertySite | reader/views.py | views.py | py | 11,087 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "models.Manga.objects.all",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.Manga.objects",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "models.Manga",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "model... |
37148140686 | import numpy as np
from matplotlib import pyplot as plt
import tables
import re
import collections
import scipy
def createAccuratefQMatrix(bmaptitle, title1,titlefits1,title2,titlefits2,closefcutoff=3):
freqs0=np.loadtxt('/home/sean/data/%s0.txt'%title1)
f0=freqs0[:,0]
f0=f0[1:]
freqs1=np.loadtxt('/ho... | bmazin/SDR | Setup/DetectorAnalysis/PixelQualityfunc.py | PixelQualityfunc.py | py | 5,169 | python | en | code | 11 | github-code | 70 | [
{
"api_name": "numpy.loadtxt",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_n... |
9235756443 | import argparse
import datetime
from io_utils import SatReader, SatWriter
from cdcl_wl import CDCL_WL
# from cryptosat import CryptoSat
import os
import pickle
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.model_selection import cross_val_score
from sklearn.tree import DecisionTr... | nguyenvanhoang7398/CS4244-SAT-solver | sat_ml.py | sat_ml.py | py | 7,294 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "io_utils.SatReader",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "cdcl_wl.CDCL_WL",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "os.path.basename",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path",
"li... |
5115052950 | import argparse
import datetime
import psycopg2
import spotipy
from spotipy.oauth2 import SpotifyOAuth
import re
# Set up PostgreSQL
HOST = 'my-postgresql-container'
DATABASE_NAME = 'song_stars'
DATABASE_USER = 'pinchi'
DATABASE_PASSWORD = 'Pinch0000'
# Check date format
DATE_LENGTH = 10
class SpotifyClient:
def... | PinChiSu/AllPopularSongs-I-want | get_data.py | get_data.py | py | 5,761 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "spotipy.Spotify",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "spotipy.oauth2.SpotifyOAuth",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "psycopg2.connec... |
1101766715 | # -*- coding: utf-8 -*-
"""This module EasyRide Quittung from Gmail."""
import contextlib
from email.header import decode_header
from pathlib import PurePath
from imaplib import IMAP4
from typing import List
from . import gmail
def save_file(file_part, target_dir: PurePath) -> None:
filename, payload = gmail.fet... | gregorias/findata-fetcher | fetcher/easyride.py | easyride.py | py | 1,056 | python | en | code | 8 | github-code | 71 | [
{
"api_name": "pathlib.PurePath",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pathlib.PurePath",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "contextlib.closing",
"line_number": 20,
"usage_type": "call"
}
] |
26109149879 | import numpy as np
import scipy
import warnings
import os
import sys
import pytest
# Add the project2/src/ directory to the python path so we can import the code
# we need to use directly as 'from <file name> import <function/class>'
sys.path.append(os.path.join(os.path.dirname(__file__), '..', 'src'))
from activ... | mortele/FYS-STK4155 | project2/test/test_activation.py | test_activation.py | py | 2,977 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
34101718228 | import pyautogui
import sys
import time
PlayerName = sys.argv[1]
# PlayerName = "WhoCanxD"
pyautogui.moveTo(1750,700)
pyautogui.click(1750,700)
pyautogui.press("enter")
time.sleep(0.2)
pyautogui.write(f"/tradewith {PlayerName}")
time.sleep(0.2)
pyautogui.press("enter")
print("awd") | VLFrosttide/Poe-trade | Trade/TradeRequest.py | TradeRequest.py | py | 282 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sys.argv",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pyautogui.moveTo",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pyautogui.click",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pyautogui.press",
"li... |
71856774951 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('fsforms', '0049_schedule_schedule_level'),
]
operations = [
migrations.RemoveField(
model_name='schedule',
... | awemulya/kobo-predict | onadata/apps/fsforms/migrations/0050_auto_20180309_1406.py | 0050_auto_20180309_1406.py | py | 585 | python | en | code | 45 | github-code | 71 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.RemoveField",
"line_number": 14,
"usage_type": "call"
},
... |
18747860149 | import keras
import numpy as np
import pandas as pd
from keras import layers, optimizers, losses, metrics
from keras.models import load_model
from keras.models import Model
import sys
import csv
import os.path
from os import path
# Check arguments
if len(sys.argv) != 3:
sys.exit("Not enough arguments")
if sys.argv[... | konstantinaRK/Clustering | Project3/predict.py | predict.py | py | 1,782 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 18... |
40155474638 | # -*- coding:utf-8 -*-
# Author: Xingyu Liu 01368856
# Date: Feb 06, 2020
#@modified: Jing Wang
#@date: 09/18/2020
import os
import json
import random
import calendar
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from datetime import timedelta, datetime
from monthdelta ... | jingw2/solver | forecast_auto_adjustment/util.py | util.py | py | 17,096 | python | en | code | 12 | github-code | 71 | [
{
"api_name": "os.path.split",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_... |
11627628940 | # Dependencies
from flask import Flask, render_template, jsonify, redirect
from flask_pymongo import PyMongo
import scrape_mars
# Start Flask
app = Flask(__name__)
app.config["Mongo_URI"] = "mongodb://localhost:27017/db"
mongo = PyMongo(app)
# Create route that renders index.html template and finds documents from Mon... | Nazaninazar/web-scraping-challenge | web-scraping-challenge/app.py | app.py | py | 763 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_pymongo.PyMongo",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scrape_mars.scr... |
12248112592 | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
from django.contrib.auth.models import User
class Userdata(models.Model):
User_id=models.IntegerField(auto_created=True,primary_key=True)
email = models.CharField(max_length=50, null=True,unique=True)
phone... | shashankvijendra/salesmarketing-tracker | salestrackingapp/models.py | models.py | py | 1,323 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.db.models.Model",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.models.IntegerField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name"... |
34122619530 | import pandas as pd
import numpy as np
import json
import statsmodels.api as sm
from statsmodels.formula.api import ols
import warnings
train = json.load(open('./data/train.json', 'r', encoding='utf8'))
submit = json.load(open('./data/sample_submission.json', 'r', encoding='utf8'))
#%%
data = train.copy()
result ... | SohyunJeon/aichallenge_2022 | src/modeling.py | modeling.py | py | 3,322 | python | ko | code | 0 | github-code | 71 | [
{
"api_name": "json.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
5111937921 | import datetime as dt
from typing import List, Optional
from takumi.campaigns import campaign_reserve_state
from takumi.error_codes import (
CAMPAIGN_NOT_LAUNCHED_ERROR_CODE,
CAMPAIGN_NOT_RESERVABLE_ERROR_CODE,
CAMPAIGN_REQUIRES_REQUEST_ERROR_CODE,
INFLUENCER_NOT_ELIGIBLE_ERROR_CODE,
INVALID_OFFER_... | hassan1731996/takumi | src/takumi/services/offer.py | offer.py | py | 26,958 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "takumi.services.exceptions.InvalidAnswersException",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "takumi.i18n.gettext",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "takumi.services.exceptions.InvalidAnswersException",
"line_number": 64... |
35279228066 | import cv2
import numpy as np
import sys
from PIL import Image
def scan_for_drawings(path):
#handling too big resolutions
img = np.asarray(Image.open(path))
#img = cv2.imread(path)
height, width, channels = img.shape
if(height > 2500 or width > 2500):
img = cv2.pyrDown(img)
#process ... | pite2017project/django_app | ocr/scripts/scan_for_drawings.py | scan_for_drawings.py | py | 3,718 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.asarray",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "cv2.pyrDown",
"line_number": ... |
16546794365 | """
Author：ZWP
U202112277
"""
import numpy as np
import matplotlib.pyplot as plt
def load_txt(file_path):
'''
Load txt document, pre-process text
:param file_path: File path
:return: a very long string
'''
with open(file_path, encoding='utf8', errors='ignore') as f:
lines = f.readlines... | AuroraArrebol/information_theory_projects | Markov.py | Markov.py | py | 5,707 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.array",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.log2",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.log2",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 54,
... |
26222175639 | import matplotlib.pyplot as plt
import timeit
import json
import sys
sys.setrecursionlimit(20000)
def dual_pivot_partition(arr, low, high):
pivot1, pivot2 = arr[low], arr[high]
if pivot1 > pivot2:
pivot1, pivot2 = pivot2, pivot1
arr[low], arr[high] = arr[high], arr[low]
i, j = low + 1, hi... | ritaboury/ENSF338-Assignment2 | ex2.4.py | ex2.4.py | py | 1,694 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "timeit.timeit",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",... |
22023663869 | from flask import Flask
from flask_migrate import Migrate
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import MetaData
import config
# config.py에서 설정해준 다음, 생성한 app에 적용하기 위해 임포트한 config 적용
from flaskext.markdown import Markdown
naming_convention = {
"ix": 'ix_%(column_0_label)s',
"uq": "uq_%(table_na... | jaieve/flask-pybo | pybo/__init__.py | __init__.py | py | 2,250 | python | ko | code | 0 | github-code | 69 | [
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.MetaData",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask_migrate.Migrate",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": ... |
71879459750 | import torch
import numpy as np
from sting.utils.types import RecursiveNamespace
from typing import Union
from sting.mm.networks import LiveNet
from sting.mm.utils import YoloLiveAugmentations, YoloLiveUnAugmentations
from sting.segmentation.transforms import UnetTestTransforms
from sting.regiondetect.utils import non_... | karempudi/sting | sting/mm/detect.py | detect.py | py | 15,484 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "sting.utils.types.RecursiveNamespace",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "sting.mm.networks.LiveNet",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 49,
"usage_type": "call"
},
{
"api_na... |
36538793815 | from enum import Enum
from itertools import product
from typing import List, Tuple, Dict
import sys
import copy
import time
class HC(Enum):
EMPTY = 1
WALL = 2
GUARD_N = 3
GUARD_E = 4
GUARD_S = 5
GUARD_W = 6
CIVIL_N = 7
CIVIL_E = 8
CIVIL_S = 9
CIVIL_W = 10
T... | adnane-errazine/Hitman_solver | Hitman_solver.py | Hitman_solver.py | py | 29,543 | python | en | code | 1 | github-code | 70 | [
{
"api_name": "enum.Enum",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 77,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 78,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 104... |
38309706786 | import torch
import csv
from torch.utils.data import Dataset
from Constants import *
class SequenceDataset(Dataset):
def __init__(self, dataset_file_path, tokenizer, device):
# Read JSON file and assign to headlines variable (list of strings)
self.data_dict = []
self.device = device
... | psunlpgroup/ASAG | DataModule.py | DataModule.py | py | 3,742 | python | en | code | 1 | github-code | 69 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "csv.reader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "torch.long",
"lin... |
70872291741 | #!/home/tridimensional/u/dcc/octavo/rim/rim/bin/python3
import os
from sklearn.feature_extraction.text import TfidfVectorizer
import numpy as np
class File:
def __init__(self, filename: str, dir_dataset="datos/peliculas"):
self.name = filename
self.load_full_text(dir_dataset)
def load_full_te... | tridimensionaal/Buscador-peliculas-via-texto | dataset.py | dataset.py | py | 2,925 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "os.listdir",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.matmul",
"line_number": 58,
"usage_type": "call"
},
{
"api_name"... |
14461726946 | """
Show how to create a time-domain signal.
"""
from matplotlib import pyplot as pl
from pycbc.waveform import ringdown_td_approximants
params = dict(
lmns="221",
tau_220=0.1,
f_220=1234.0,
amp220=1e-23,
phi220=0.3,
inclination=0.2,
polarization=1.1,
t_final=2.0,
)
# plot waveform
h... | mattpitkin/ringdown | scripts/test_waveform.py | test_waveform.py | py | 732 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "pycbc.waveform.ringdown_td_approximants",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 27,
"usage_type": "name"
},
{
... |
38289676914 | import pandas as pd
import numpy as np
import sqlite3
df=pd.read_csv('Mall_Customers.csv')
def insert():
connection=sqlite3.connect('data.db')
cursor=connection.cursor()
insert_query="INSERT INTO user VALUES(?,?,?,?,?)"
for i in range(0,200): # insert data row by row
... | pawarsharad111/python-data-science | DataFrame to SqlDB/DataframeToDB.py | DataframeToDB.py | py | 1,037 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 19,
"usage_type": "call"
}
] |
28580291455 | # Databricks notebook source
# MAGIC %md # This is the notebook that shows the steps taken to train a 3-class image classifier that :
# MAGIC - takes in book cover thumbnail image for the respective 3 classes (high-, mid- and low-sales) labels
# MAGIC - the 3 classes are split by 60th percentile and 90th percenti... | LCJG-BetaLabs/ds-capstone-2023 | cuhk/j/finalised/5) 3_class_image_classifier_with_Resnet50_pretrained_layers_finalised.py | 5) 3_class_image_classifier_with_Resnet50_pretrained_layers_finalised.py | py | 3,731 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "tensorflow.keras.preprocessing.image_dataset_from_directory",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.preprocessing.image_dataset_from_directory",
... |
645252021 | # -*- coding: utf-8 -*-
from app import app
from flask import request, jsonify
from time import gmtime, strftime
dict = {}
@app.route('/')
@app.route('/index')
def index():
return "Server working"
@app.route('/dictionary', methods = ['GET', 'POST', 'DELETE', 'PUT'], defaults={'path': ''})
@app.route('/dictionary... | abondar/flaskTest | app/views.py | views.py | py | 2,021 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "app.app.route",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "app.app",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "app.app.route",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "app.app",
"line_number": 9,
... |
12864195106 | import asyncio
import os
import json
import logging
import threading
logger = logging.getLogger('ansible-runner.zeromq')
class RunnerClientProtocol(asyncio.Protocol):
def __init__(self, loop):
self.transport = None
def connection_made(self, transport):
print("In connection made")
su... | ansible/ansible-runner-aio | ansible_runner_aio/events.py | events.py | py | 2,956 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "asyncio.Protocol",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "asyncio.new_event_loop",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "asyncio... |
34986819599 | from typing import Tuple
from PIL import Image
import numpy as np
import torch
from torchvision import transforms
def default_transforms(img: Image, label: Image, normalize: Tuple, size: Tuple):
if size == ("same", "same"):
img_tf = transforms.Compose([
transforms.ToTensor(),
tran... | zhfeing/pysmg | pysmg/data/transforms.py | transforms.py | py | 720 | python | en | code | 1 | github-code | 69 | [
{
"api_name": "PIL.Image",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torchvision.trans... |
34743732490 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.Create... | projectjamjar/masonjar | jamjar/jamjar/authentication/migrations/0001_initial.py | 0001_initial.py | py | 2,015 | python | en | code | 1 | github-code | 69 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.swappable_dependency",
"line_number": 11,
"usage_type": "call... |
13723332801 | import pvlib
def get_parameters(latitude, longitude, tz, altitude, datetime):
'''
Wrapper that defines a pvlib.location Location class and estimates the
solar position parameters, airmass and extraterrestrial DNI.
Parameters
----------
latitude : float
Latitude based on the locatio... | andresgm/cno_solar | cnosolar/location_data.py | location_data.py | py | 2,371 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pvlib.location.Location",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "pvlib.location",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "pvlib.irradiance.get_extra_radiation",
"line_number": 61,
"usage_type": "call"
},
{
"... |
25857903791 | import logging
import os
import torch
from collections import OrderedDict
class CheckPointer:
_last_checkpoint_name = 'last_checkpoint.txt'
def __init__(self, model, optimizer=None, scheduler=None, save_dir="",
logger=None):
self.model = model
self.optimizer = optimizer
... | JoeJoZ/AMLS_assignment22_23 | utils/checkpoint.py | checkpoint.py | py | 7,208 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "torch.save",
"line_nu... |
6510103065 | # coding: utf-8
from django.contrib.auth.models import Permission
from django.contrib.contenttypes.models import ContentType
from django.db.models.signals import post_migrate
def add_view_permissions(sender, **kwargs):
"""
This syncdb hooks takes care of adding a view permission too all our content types.
... | debnet/common-framework | common/management/__init__.py | __init__.py | py | 713 | python | en | code | 9 | github-code | 69 | [
{
"api_name": "django.contrib.contenttypes.models.ContentType.objects.all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.contrib.contenttypes.models.ContentType.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.contenttype... |
25423899316 | # Import flask dependencies
from flask import Blueprint, request, jsonify
import re
mod_auth = Blueprint('auth', __name__, url_prefix='/auth')
@mod_auth.route('/signin', methods=['GET'])
def signin():
filters_url = "pdf:true;peerRevd:true;lx:500-800,750-1200;subj:american%20history "
matches = re.compile("(... | wisner23/pytodo-faas | app/mod_auth/controllers.py | controllers.py | py | 382 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "flask.Blueprint",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 15,
"usage_type": "call"
}
] |
32214777358 | import sys
from collections import defaultdict
def step1(inp):
g = {}
for a, b in inp:
g[b] = a
cache = {}
def orbits(node):
if node in cache:
return cache[node]
if g[node] == 'COM':
return 1
else:
cache[node] = orbits(g[node]) + 1
... | plilja/adventofcode | 2019/day06/day06.py | day06.py | py | 868 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "collections.defaultdict",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 43,
"usage_type": "attribute"
}
] |
12108636091 | import os
import shutil
import sys
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '.')))
from CMOSMetalBayerFilter3DSingleBandModeParameters import *
import CMOSMetalBayerFilter3D
import lumapi
import functools
import h5py
import matplotlib.pyplot as plt
import numpy as np
import time
d... | TZZheng/adjoint_lumerical | inverse_design/CMOSMetalBayerFilter3DSingleBandModeFiniteDifference.py | CMOSMetalBayerFilter3DSingleBandModeFiniteDifference.py | py | 23,940 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sys.path.insert",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
33671654390 | # -*- coding: utf-8 -*-
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support.select import Select
import time
import datetime
import csv
import sys
#reload(sys)
#sys.setdefaultencoding('utf-8')
dri... | Explorer1092/biubiubiu | python/常用代码/selenium-mail.py | selenium-mail.py | py | 5,600 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
13694240342 | #!/usr/bin/env python
"""
a collection of functions to measure & visualize performance
"""
import os, pickle, re
import numpy as np
import pandas as pd
from sklearn.covariance import EllipticEnvelope
from scipy.stats import wasserstein_distance
from sklearn.metrics import mean_squared_error as mse
from sklearn.metrics... | hengwang322/aavail-revenue-forecast | performance.py | performance.py | py | 3,768 | python | en | code | 1 | github-code | 69 | [
{
"api_name": "numpy.empty",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_number": 37,
... |
5822810865 | """db_worker.py
Этот модуль осуществляет всю работу, связанную с базой данных MongoDB.
Поля класса DBUser написаны на property и имеют удобный синтаксис получения
и изменения значений.
Для работы с модулем, нужно его импортировать и создать инстанс класса DBWorker:
```
from db_worker import D... | xhable1337/bgtu_bot | app/utils/db_worker.py | db_worker.py | py | 15,140 | python | ru | code | 1 | github-code | 71 | [
{
"api_name": "app.properties.MONGODB_URI",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "loguru.logger.debug",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "app.prop... |
108971055 | # coding: utf-8
from django.contrib import admin
from . import models
class RoomAdmin(admin.ModelAdmin):
list_display = ('name', 'label', 'user')
list_per_page = 20
list_filter = ('name', )
class RoomUserAdmin(admin.ModelAdmin):
list_display = ('user', 'room', 'is_delete', 'is_owner')
list_per_... | rubbish822/django_ws | chat/admin.py | admin.py | py | 2,131 | python | en | code | 1 | github-code | 69 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 13,
"usage_type": "attribute"
... |
36081528816 | import os
import shutil
import langchain
import mlflow
import pytest
import transformers
import json
import importlib
import sqlite3
import openai
from contextlib import contextmanager
from packaging import version
from langchain import SQLDatabase
from langchain.chains import (
APIChain,
ConversationChain,
... | lhuang1109/MLOpstest | tests/langchain/test_langchain_model_export.py | test_langchain_model_export.py | py | 17,258 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "mlflow.openai.utils.TEST_CONTENT",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "mlflow.openai.utils._mock_request",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "mlflow.openai.utils._mock_chat_completion_response",
"line_number": 53,
... |
15936339249 | from django.conf.urls import url
from . import views
#Template tagging
app_name = 'vendor'
urlpatterns = [
url(r"^$", views.PostList.as_view(), name="all"),
url(r"new/$", views.CreatePost.as_view(), name="create"),
url(r"by/(?P<username>[-\w]+)/$",views.UserPosts.as_view(),name="for_user"),
url(r"by/(... | kmarangu/My-Projects | eprocure/vendor/urls.py | urls.py | py | 988 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.c... |
21913274466 | # Setup Django settings and models
import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "acacia_main.settings")
import django
django.setup()
# Begin program
import time
from trades.models import OrderTask
from trades.execute import batch_execute
def trades_needed(order):
done_proportion = 1.0 * (time.time(... | AcaciaTrading/acacia_main | trades_worker.py | trades_worker.py | py | 958 | python | en | code | 20 | github-code | 69 | [
{
"api_name": "os.environ.setdefault",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "django.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.time",
"line... |
22423632075 | from flask import Flask, url_for
from flask_migrate import Migrate
from flask_wtf import CSRFProtect
from flask_cors import CORS
from exts import db, ma
from views import student_opt, enterprise_opt, login_opt
app = Flask(__name__, template_folder='./templates')
app.config.from_pyfile('config.py')
db.init_app(app)
ma... | maohuahao/flask-demo | app.py | app.py | py | 1,335 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "exts.db.init_app",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "exts.db",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "exts.ma.init_app",
"line_numb... |
74417921188 | from django.urls import path
from django.conf.urls import url, include
from . import views
urlpatterns = [
url(r'^learnerCourse/courseID=(?P<course_ID>[0-9]+)&moduleID=(?P<module_ID>[0-9]+)/$',views.learnerModuleCourseView),
url(r'^instructorCourse/courseID=(?P<course_ID>[0-9]+)&moduleID=(?P<module_ID>[0-9]+)... | atibrewal98/ICE | ICE/urls.py | urls.py | py | 1,949 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.co... |
7663418977 |
import firebase_admin
from firebase_admin import credentials, storage
from firebase_admin import firestore
import os
import requests
from pprint import pprint
from PIL import Image
import time
from io import BytesIO
from datetime import datetime, timedelta
from shapely.geometry import Polygon
cred = credentials.Certi... | SachinPatel2707/acps-backend | main.py | main.py | py | 6,299 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "firebase_admin.credentials.Certificate",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "firebase_admin.credentials",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "firebase_admin.initialize_app",
"line_number": 15,
"usage_type": "call"... |
8876350737 | import os
import os.path as osp
import pandas as pd
from sklearn.model_selection import train_test_split
from preprocess.tokenizer.bert_tokenizer import TitleCategoryDataset
import pytorch_lightning as pl
from torch.utils.data import Dataset, DataLoader
from transformers import BertTokenizerFast as BertTokenizer
clas... | cellcomplexitylab/gufi | preprocess/bert_flow.py | bert_flow.py | py | 3,237 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "pytorch_lightning.LightningDataModule",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "transformers.BertTokenizerFast",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "preprocess.tokenizer.bert_tokenizer.TitleCategoryDataset",
"line_nu... |
24112459902 | from math import sqrt, pow
from matplotlib.backends.backend_qt5agg import (FigureCanvas)
from matplotlib.backends.qt_compat import QtCore, QtWidgets
from matplotlib.figure import Figure
class Plot(QtWidgets.QWidget):
def __init__(self, item_model, selection_model):
super().__init__()
self.item_m... | krystiancha/panoramagrid | python/panoramagrid/gridcreator/plot.py | plot.py | py | 2,956 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "matplotlib.backends.qt_compat.QtWidgets.QWidget",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.backends.qt_compat.QtWidgets",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.backends.backend_qt5agg.FigureCanvas",
... |
26272408667 | from django import forms
from django.utils.translation import gettext_lazy as _
from jobs.models import Job
from utils import MIN_EDUCATION_CHOICES, SALARY_CHOICES
class PublishForm(forms.ModelForm):
title = forms.CharField(
error_messages={
'required': _('Job title cannot be empty'),
... | xbandrade/py-4djobz | jobs/forms/publish_form.py | publish_form.py | py | 1,177 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.f... |
22329108261 | import logging
import urllib
from tornado import httpclient
from tornado import escape
from tornado.httputil import url_concat
class FoursquareMixin(object):
"""Foursquare API using Oauth2"""
_OAUTH_ACCESS_TOKEN_URL = "https://foursquare.com/oauth2/access_token"
_OAUTH_AUTHORIZE_URL = "https://foursqu... | didip/tornado_api | _foursquare.py | _foursquare.py | py | 5,202 | python | en | code | 20 | github-code | 71 | [
{
"api_name": "tornado.httpclient.AsyncHTTPClient",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tornado.httpclient",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "tornado.httputil.url_concat",
"line_number": 37,
"usage_type": "call"
},
{
... |
39996035556 | import folium
import pandas as pd
df = pd.read_excel('C:/Users/student/Desktop/datas/datas/서울지역 대학교 위치.xlsx')
df.columns=['대학', '위도', '경도']
print(df)
seoul_map = folium.Map(location=[37.55, 126.98], zoom_start=12)
for name, lat, lng in zip(df.index, df.위도, df.경도):
folium.Marker([lat, lng], popup = name).add_to(... | ssh6189/2019.12.19 | 서울지역 대학교.py | 서울지역 대학교.py | py | 449 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pandas.read_excel",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "folium.Map",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "folium.Marker",
"line_number": 12,
"usage_type": "call"
}
] |
27947404421 | from django.db.models import Count
from django.shortcuts import render
from leaveformapp.models import Students
from django.contrib import messages
from datetime import datetime, timedelta
import pytz
# Create your views here.
def form(request):
if request.method == 'POST':
# getting form values
... | rabibasukala01/Application-of-Leave | leaveformapp/views.py | views.py | py | 5,721 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "pytz.timezone",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "django.contrib.... |
16819503973 | # modified from: https://github.com/lucidrains/vit-pytorch
import torch
from torch import nn, einsum
import torch.nn.functional as F
from einops import rearrange, repeat
from einops.layers.torch import Rearrange
class PreNorm(nn.Module):
def __init__(self, dim, fn):
super().__init__()
self.norm ... | PinocchioYS/iln | python_src/models/iln/tf_weight.py | tf_weight.py | py | 3,408 | python | en | code | 7 | github-code | 71 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.LayerNorm",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
9698530500 | # Imports
from flask import Flask # general web development
from flask import render_template # render html5 templates
from flask import request #
from flask import redirect #
from flask_sqlalchemy import SQLAlchemy # create sqlite databases using python3
# create the f... | KevinPham123/EECE4081_Rooms-Kevin | app.py | app.py | py | 2,392 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "flask.re... |
70193619431 |
import sys
from PyQt5.QtWidgets import QSizePolicy, QTextEdit, QMainWindow, QApplication, QWidget, QAction, QTableWidget,QTableWidgetItem,QVBoxLayout,QPushButton, QHBoxLayout
from PyQt5.QtGui import QIcon
from PyQt5.QtCore import pyqtSlot
import numpy as np
import scipy
from lmfit import Minimizer, Parameters, report_... | hemmerlinglab/Raspi_BeamProfiler | Profiler_GUI/profiler.py | profiler.py | py | 7,168 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "matplotlib.backends.qt_compat.is_pyqt5",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "scipy.special.erf",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "scipy.special",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_n... |
70102853989 | from fastapi import APIRouter
from schemas.user_schema import User
from controllers import user_controller
from bson.objectid import ObjectId
from extras.description_swagger.description_user import (
CREATE_USER,
GET_USER,
GET_USERS,
GET_USERS_BY_EMAIL,
UPDATE_USER,
DELETE_USER
)
router = APIR... | giugabriella/Projeto_final | source/routes/user_route.py | user_route.py | py | 1,657 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "schemas.user_schema.User",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "controllers.user_controller.create_user",
"line_number": 29,
"usage_type": "call"
},
{
... |
19287856035 | import contextlib
import importlib
import inspect
import logging
import os.path as op
import re
import sys
import warnings
from io import StringIO
from typing import Any, Callable, TypeVar
from decorator import FunctionMaker
from .docs import fill_doc
logger = logging.getLogger("mne") # one selection here used acro... | mne-tools/mne-python | mne/utils/_logging.py | _logging.py | py | 16,841 | python | en | code | 2,405 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.Filter",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "typing.TypeVar",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "typing.Callable"... |
73363294311 | import json
from zipfile import ZipFile
from zipfile import ZIP_DEFLATED
from os import listdir
import os.path
import csv
def read_json(json_file_name):
with open(json_file_name, 'r') as file:
data = json.load(file)
return data
def write_json(jsonFileName, data):
with open(jsonFileName... | aospiridonov/yassport_analitics | filter_runners.py | filter_runners.py | py | 4,120 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "zipfile.ZipFile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 2... |
71350706791 | import torch
from torch import Tensor, nn
from torch.nn import functional as F
class SoftArgmax2d(nn.Module):
"""
Adapted from:
https://github.com/Ttayu/softargmax/blob/master/softargmax.py
"""
def __init__(self, beta: int = 100, return_xy: bool = False):
super().__init__()
... | flavioschneider/hand-3d-keypoint | src/models/architectures/functional.py | functional.py | py | 1,461 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_num... |
34177527790 | from random import random
from math import exp,log
from scipy.integrate import quad
from scipy.optimize import root_scalar
def kmcSolidBridge(tFinal,v,kOff,kOn,fc,nBonds,kEff,kBond):
"""
Generates a kmc simulation of the stochastic bond model for the solid bridge.
tFinal: Simulation runs from time ... | celiareina/EmergenceViscosity | kmcSolidBridge.py | kmcSolidBridge.py | py | 2,804 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "math.log",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 50... |
28067370349 | from __future__ import annotations
from typing import TYPE_CHECKING, ClassVar
from uuid import UUID
from attr import dataclass
import asyncpg
from mausignald.types import GroupID
from mautrix.types import EventID, RoomID
from mautrix.util.async_db import Database
from .util import ensure_uuid
fake_db = Database.cr... | mautrix/signal | mautrix_signal/db/reaction.py | reaction.py | py | 3,798 | python | en | code | 410 | github-code | 71 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "mautrix.util.async_db.Database.create",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mautrix.util.async_db.Database",
"line_number": 15,
"usage_type": "name"
},
... |
14238075148 | from prime import isPremier, primeList, getPrimeProbaList, getAllProbaList
from action_functions import sparsity
from random import choices
import matplotlib.pyplot as plt
x = 20
MAXLOOPTIME = 6
CATEGORY = ['K', 'C', 'OY', 'OX', 'FY', 'FX']
def generateTemporalMapping(x, MAXLOOPTIME, CATEGORY):
xList ... | horhaj/SearchSpace_Sparsity_Optimization | Permutation sparsity and optimization/generator.py | generator.py | py | 1,351 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "prime.primeList",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "prime.getPrimeProbaList",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "prime.getAllProbaList",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.