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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
19409399587 | from discord.ext import commands
from cryptography.fernet import Fernet
def get_token():
with open('cipher\secret_key.key') as f:
key = f.readline()
with open('cipher\cipher.txt') as f:
cipher = f.readline()
fernet = Fernet(key.encode())
dectex = fernet.decrypt(cipher.encode()).decode... | asdasdassb/python_class | lol_search/main.py | main.py | py | 436 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cryptography.fernet.Fernet",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 17,
"usage_type": "name"
}
] |
71528090294 | from datetime import datetime
from common.exceptions.db import NotFoundException
from domain.flight_file.entities import FlightFile
from domain.flight_file.value_objects import AllowedFiles
from presentation.rest.dependencies import get_file_service
from presentation.rest.serializers.file import FlightFileSerializer
... | searchwingCV/log-viewer | server/tests/unit/presentation/rest/controllers/test_file_controller.py | test_file_controller.py | py | 2,707 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "domain.flight_file.entities.FlightFile",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "name"
},
{
"ap... |
16997992031 | import reprlib
from dataclasses import dataclass
from datetime import datetime
from typing import Any, List, Optional
from packaging.version import Version
from typing_extensions import TypeAlias
from cheeseshop.repository.parsing.casts import (
from_bool,
from_datetime,
from_dict,
from_int,
from_... | AlexTereshenkov/cheeseshop-query | cheeseshop/repository/package.py | package.py | py | 15,931 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"lin... |
21846310932 | # cooldown.py
# By: BentoBot02
# holds the cooldown command
import discord
import os
from discord.ext import commands, tasks
import asyncio
import globalValues
async def cooldown(ctx, args):
id = None
if len(args) > 0:
id = args[0].replace('<', '').replace('@', '').replace('!', ''... | BentoBot02/Karuta-Catalog | cooldown.py | cooldown.py | py | 1,065 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "globalValues.catalog.getUser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "globalValues.catalog",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "globalValues.catalog.getServerVoteStr",
"line_number": 27,
"usage_type": "call"
... |
74133430451 | import sys
vec = sys.argv
from datetime import datetime
import os
def add(item):
count = 0
if os.path.exists('C:\\Users\\user\\OneDrive\\Desktop\\todo.txt'):
with open('C:\\Users\\user\\OneDrive\\Desktop\\todo.txt','r') as file:
lines = file.readlines()
for line in lines:
... | ishn123/Todo-app | todo.py | todo.py | py | 4,757 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.today",
... |
7893740835 | from contextlib import contextmanager
import maya.app.renderSetup.model.renderSetup as renderSetup
@contextlib.contextmanager
def maintained_render_layer():
previous_rs = renderSetup.instance().getVisibleRenderLayer()
try:
yield
finally:
renderSetup.instance().switchToLayer(previou... | geodesicPenguin/ASS_Render_Layer_Export | assRenderLayerExport.py | assRenderLayerExport.py | py | 1,266 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "maya.app.renderSetup.model.renderSetup.instance",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "maya.app.renderSetup.model.renderSetup",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "maya.app.renderSetup.model.renderSetup.instance",
"line_... |
19373404520 | from __future__ import annotations
from pathlib import Path
from uuid import UUID
from ...api.observer import Observable, Observer
from ...model.workflow import WorkflowParametersPresenter
from ...view.workflow import WorkflowInputDataView
class WorkflowInputDataController(Observer):
def __init__(self, presente... | AdvancedPhotonSource/ptychodus | ptychodus/controller/workflow/inputData.py | inputData.py | py | 2,045 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "api.observer.Observer",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "model.workflow.WorkflowParametersPresenter",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "view.workflow.WorkflowInputDataView",
"line_number": 13,
"usage_type": "... |
1273572915 | import math
from typing import TypeVar, Iterable, List, Sequence
import torch.utils
from torch import distributed as dist
from torch.utils.data import Dataset, IterableDataset, Subset, Sampler
import bisect
from classifier.config import ClassifierConfig
T_co = TypeVar('T_co', covariant=True)
import numpy as np
# T... | samarth4149/task2sim | utils/data.py | data.py | py | 6,962 | python | en | code | 22 | github-code | 21 | [
{
"api_name": "typing.TypeVar",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.... |
610528172 | import os
import unittest
from dotenv import load_dotenv
from unittest.mock import patch
from symportal_kitchen.email_notifications.submission_status import send_email
# Load environment variables from .env file
load_dotenv()
SENDGRID_EMAIL_SENDER = os.environ.get("SENDGRID_EMAIL_SENDER")
class TestSendEmail(unitte... | reefgenomics/symportal_kitchen | tests/email_notifications/test_submission_status_update.py | test_submission_status_update.py | py | 1,200 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
... |
5963725100 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Dec 12 23:16:53 2020
@author: anujhsawant
"""
#Importing all the necessary libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import plotly.express as px
from plotly.offline import plot
from sklearn import preprocessing
fr... | anujhsawant/IBM-HR-Analytics-Employee-Attrition-and-Performance | IBM_HR_Analytics.py | IBM_HR_Analytics.py | py | 8,053 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "seaborn.countplot",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "matplotlib.... |
74528225011 | import json, requests, re, bs4
import urllib.request as urllib_request
import pandas as pd
import numpy as np
from urllib.request import urlopen, Request
from urllib.error import URLError, HTTPError
from bs4 import BeautifulSoup
def extrai_geracao_consoles(soup, geracao):
consoles = []
precos = []
empr... | JaymeNeto/game-consoles-scratch | game-scrap.py | game-scrap.py | py | 3,182 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "re.compile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 33,
... |
69888830132 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import glob
import json
import os
import re
import collections
import numpy
from utils import print_daemon
class Metrics():
def __init__(self, filename):
self.filename = filename
self.dataset = self.__load_file(self.filename)
self.min_ts, self.max_ts = ... | jancajthaml-openbank/lake | perf/metrics/fascade.py | fascade.py | py | 1,167 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "utils.print_daemon",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_... |
41368810993 | from __future__ import print_function
import argparse
import os
import sys
import numpy as np
from sgdml.utils import io, ui
def read_reference_data(f): # noqa C901
eV_to_kcalmol = 0.036749326 / 0.0015946679
e_next, f_next, geo_next = False, False, False
n_atoms = None
R, z, E, F = [], [], [], []... | stefanch/sGDML | scripts/sgdml_dataset_from_aims.py | sgdml_dataset_from_aims.py | py | 4,384 | python | en | code | 125 | github-code | 21 | [
{
"api_name": "sgdml.utils.io._z_str_to_z_dict",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "sgdml.utils.io",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "sys.stdout.write",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "... |
23307188061 | from tkcalendar import Calendar, DateEntry
import datetime
import tkinter as tk
from tkinter import ttk
def print_sel():
print(cal.selection_get())
cal.see(datetime.date(year=2016, month=2, day=5))
def example1():
global cal
top = tk.Toplevel(root)
top.title("Selecione a Data")
toda... | MarcieL-Bezerra/Meus_Rascunhos | datapicker.py | datapicker.py | py | 1,961 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.date",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tkinter.Toplevel",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.date",
... |
74667150131 | import os
import glob
from tkinter import *
from tkinter import filedialog
from PIL import Image, ImageTk
class Application(Frame):
def __init__(self, master=None):
super().__init__(master)
self.master = master
self.pack()
self.create_button(cmd=self.getFolder)
self.create_... | leonardoigor/Imgs_reshape | main.py | main.py | py | 4,373 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tkinter.filedialog.askdirectory",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 69,
"usage_type": "name"
},
{
"api_name": "tkinter.filedialog.askdirectory",
"line_number": 71,
"usage_type": "call"
},
{
... |
3900866147 | from collections import deque
# This class do real-time VWAP computations.
# It has an add method to add incoming price-volume pairs.
# This method actually do all computations.
# Complexity of the add method is O(1) and not depend on
# sliding window size. And there is a get method
# for getting last computed value.... | AlexZus/VwapCalculationEngine | VWAP/computer.py | computer.py | py | 1,454 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "collections.deq... |
12256245735 | import io
from setuptools import (
setup,
find_packages,
) # pylint: disable=no-name-in-module,import-error
def dependencies(file):
with open(file) as f:
return f.read().splitlines()
with io.open("README.md", encoding="utf-8") as infile:
long_description = infile.read()
setup(
name="sm... | VictorAlessander/Smith | setup.py | setup.py | py | 1,730 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "io.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 18,
"usage_type": "call"
}
] |
74147150772 | import argparse
import enum
import os
import datetime
import sys
from models.image_classification import imagenet_preprocessing
from models.image_classification import lr_scheduler
from models import utils
import tensorflow as tf
import tf_multiworker_distribution as tf_dist
SHUFFLE_BUFFER = 6400 # nranks_per_node *... | cc-hpc-itwm/tarantella_models | src/models/image_classification/train_imagenet_main.py | train_imagenet_main.py | py | 11,842 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tensorflow.data",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.data",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "tenso... |
110056361 | import xlrd
workbook = xlrd.open_workbook('ecollection_report.xlsx')
print(workbook.nsheets)
print("Worksheet name(s): {0}".format(workbook.sheet_names()))
sheet = workbook.sheet_by_index(0)
print("{0} {1} {2}".format(sheet.name, sheet.nrows, sheet.ncols))
print("Cell G04 is {0}".format(sheet.cell_value(rowx=3, col... | kenedyakn/nssf-data-system | excel_reader.py | excel_reader.py | py | 654 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 3,
"usage_type": "call"
}
] |
31394958118 | import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
pd.set_option('mode.chained_assignment', None)
college_data = pd.read_csv('CollegeScorecard_Raw_Data/MERGED2017_18_PP.csv', low_memory = False) # Opens our data into a dataframe
college_data['GRAD_DEBT_MDN10YR_SUPP'] = col... | uic-cs418/cs418-s20-cs418_spring20_mighty_python | baseline_classifier.py | baseline_classifier.py | py | 1,818 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.set_option",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
... |
1337697131 | """
This Crawls the NewYorkTimes Archive looking for the work terrism
"""
import requests
from bs4 import BeautifulSoup
from selenium import webdriver
import csv
import time
def main(start,stop):
URL = ['http://query.nytimes.com/search/sitesearch/#/terrorism/from','0102to','0101/allresults/','/allauthors/oldest/'... | konrad-c/GlobalTerrorismAnalysis | Crawlers/NewYourArchiveCrawl.py | NewYourArchiveCrawl.py | py | 3,151 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "csv.writer",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
22702107447 | #!/usr/bin/python3
"""
Wochenende: A whole genome/metagenome analysis pipeline in Python3 (2018-2021)
Author: Tobias Scheithauer
Author: Dr. Colin Davenport
Author: Fabian Friedrich
Author: Sophia Poertner
Changelog
2.0.0 allow configurable job scheduler in config.yaml
1.9.9 calculate bam.bai in paired end mode for a... | MHH-RCUG/Wochenende | run_Wochenende.py | run_Wochenende.py | py | 58,152 | python | en | code | 36 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 85,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 86,
"usage_type": "attribute"
},
{
"api_name": "yaml.safe_load",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "yaml.YAMLError",
"... |
32616777548 | import asyncio
from hashlib import sha1
from ScoutSuite.core.console import print_info
from ScoutSuite.providers.aws.utils import is_throttled as aws_is_throttled
from ScoutSuite.providers.gcp.utils import is_throttled as gcp_is_throttled
def get_non_provider_id(name):
"""
Not all resources have an ID and so... | ryanmrestivo/red-team | cloud/ScoutSuite/ScoutSuite/providers/utils.py | utils.py | py | 4,283 | python | en | code | 91 | github-code | 21 | [
{
"api_name": "hashlib.sha1",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "ScoutSuite.core.console.print_info",
"line_number": 29,
"usage_type": "call"
},
{
"api_name":... |
18405706699 | from itertools import accumulate; from math import floor,ceil,sqrt; import operator; import random; import string; from bisect import *; from collections import deque, defaultdict, Counter, OrderedDict; from functools import reduce,cache; from heapq import *; import unittest; from typing import List,Optional; from func... | afzalsiddique/problem-solving | Problem_Solving_Python/leetcode/lc377.py | lc377.py | py | 1,331 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 22,
"usage_type": "attribute"
}
] |
37458761412 | import numpy as np, cv2
# # 8.3.2 양선형 보간법
# image = cv2.imread("ch08_images\interpolation.jpg", cv2.IMREAD_GRAYSCALE)
# if image is None:
# raise Exception("영상 파일 읽기 오류")
# size = (350, 400)
# dst3 = cv2.resize(image, size, cv2.INTER_LINEAR) #INTER_NEAREST, INTER_LINEAR,
# dst4 = cv2.resize(image, size, cv2.INTE... | jaekim3220/OpenCV_practice | workplace/15_geometry.py | 15_geometry.py | py | 1,651 | python | ko | code | 0 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
... |
12861215801 | import pytest
from tests.util import int_sampler
def test_sampler_basic():
it = int_sampler([2, 2], limit=100)
assert next(it) == (0, 0)
assert next(it) == (0, 1)
assert next(it) == (1, 0)
assert next(it) == (1, 1)
with pytest.raises(StopIteration):
next(it)
@pytest.mark.parametrize... | nicktimko/dangercrypt | tests/meta/test_util.py | test_util.py | py | 2,016 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tests.util.int_sampler",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tests.util.int_sampler",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pytest.mar... |
42269390718 | import os
import unittest
import vtk, qt, ctk, slicer
from slicer.ScriptedLoadableModule import *
import logging
#
# AutomaticSurfacePointPlacement
#
class AutomaticSurfacePointPlacement(ScriptedLoadableModule):
"""Uses ScriptedLoadableModule base class, available at:
https://github.com/Slicer/Slicer/blob/master/... | PerkLab/SkullRegistration | extensions/AutomaticSurfacePointPlacement/AutomaticSurfacePointPlacement.py | AutomaticSurfacePointPlacement.py | py | 7,201 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "slicer.util.loadUI",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "slicer.util",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "slicer.util.childWidgetVariables",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "... |
74064442614 | #==>Library Import
from django.shortcuts import get_object_or_404, render, redirect
from django.core.paginator import Paginator
from django.db.models import Max, Min
from django.contrib import messages
from django.db.models import Count
from django.views import View
#==>Local Import
from .models import Category, Varian... | farhadggu/Django-Shop | product/views.py | views.py | py | 3,960 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.views.View",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "models.Category.objects.filter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "models.Category.objects",
"line_number": 18,
"usage_type": "attribute"
},
{
"api... |
33995609681 | import matplotlib.pyplot as plt
import numpy as np
def f(x):
return 1/x
#return x**2 + 2*x + 1
def derivert(x, delta_x):
return (f(x+delta_x)-f(x))/delta_x
#x = np.linspace(-10,10,1000)
#y = f(x)
x_vals=[]
y_vals=[]
y_der_vals=[]
x_step=0.1
x_min=-5.0
x_max=5.0
y_min=0
y_max=0
y=0
i=x_min
while i<=x_ma... | rolfui/maths | r1/derivert2.py | derivert2.py | py | 781 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.xlim",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.ylim",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "matpl... |
7334261103 | # Based on
# from imutils.video import WebcamVideoStream
from threading import Thread
import numpy as np
import cv2
import mediapipe as mp
# mp_drawing = mp.solutions.drawing_utils
# mp_drawing_styles = mp.solutions.drawing_styles
mp_pose = mp.solutions.pose
class PoseDetection:
def __init__(self, name="W... | andrewchiull/Google-HPS-2023-Team8 | src/cv/mp/Pose.py | Pose.py | py | 1,715 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "mediapipe.solutions",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "threading.Thr... |
18228371220 | from datetime import datetime
from .database import QuestionerDatabaseConnection
class RsvpRegistration(QuestionerDatabaseConnection):
''' class for RSVP model '''
def __init__(self, response=None):
super().__init__()
db = QuestionerDatabaseConnection
self.response = response
... | dennisdnyce/Questioner | app/api/v2/models/rsvp_models.py | rsvp_models.py | py | 893 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "database.QuestionerDatabaseConnection",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "database.QuestionerDatabaseConnection",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call... |
73316207092 | import numpy as np
import matplotlib.colors as mcolors
import tensorflow as tf
tf.autograph.set_verbosity(0)
from sklearn.preprocessing import OneHotEncoder
from sklearn.preprocessing import LabelEncoder
from deepSculpt.manager.tools.params import COLORS
from colorama import Fore, Style
class OneHotEncoderDecoder:... | juan-garassino/deepSculpt | deepSculpt/curator/tools/preprocessing.py | preprocessing.py | py | 13,215 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "tensorflow.autograph.set_verbosity",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tensorflow.autograph",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 62,
"usage_type": "attribute"
},
{
"api... |
13360052091 | import math
import random
from typing import Iterable, List
import torch
from torch.utils.data.dataset import Dataset, IterableDataset
from refined.data_types.doc_types import Doc
from refined.data_types.modelling_types import BatchElementTns, BatchedElementsTns, BatchElement
from refined.doc_preprocessing.preprocess... | amazon-science/ReFinED | src/refined/dataset_reading/entity_linking/document_dataset.py | document_dataset.py | py | 7,342 | python | en | code | 126 | github-code | 21 | [
{
"api_name": "torch.utils.data.dataset.Dataset",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "refined.doc_preprocessing.preprocessor.PreprocessorInferenceOnly",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "random.seed",
"line_number": 34,
"usage... |
3726148134 | from pipeline import matcher, nlp
from typing import List, Tuple, Dict, Union
from collections import defaultdict
import re
def get_matches(doc, matcher=matcher, nlp=nlp) -> List[Tuple[str, str]]:
"""Return matched phrases from a spacy matcher and a spacy doc
Args:
doc (spaCy Doc) : spacy doc object
... | murdomoyse/dockerised-flask-nlp-app | src/modules/pid.py | pid.py | py | 5,315 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pipeline.matcher",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pipeline.nlp",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pipeline.nlp.vocab",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pipeline.nlp",
... |
36027963945 | import math
import pygame
from pygame.locals import *
from bullet import Bullet
class ControlScheme:
def __init__(self):
self.moveLeft = K_a
self.moveRight = K_d
self.fire = K_SPACE
class Player:
def __init__(self, start_pos, tiled_level, control_scheme, explosions_sprite_sheet):
... | MyreMylar/scrolling_shooter | game/player.py | player.py | py | 20,668 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.image.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Sprite",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.sprit... |
27554722099 | import cv2
import numpy as np
import time
img1 = cv2.imread("./images/ultra.jpg", 0)
# cv2.imwrite("../AssignmentTwo/images/palisadesThree.jpg", img1, [int(cv2.IMWRITE_JPEG_QUALITY), 100])
img2 = cv2.imread("./images/ultra.jpg", 0)
index = [0, 10, 100, 1000, 10000]
sizeBytes = [121263, ]
for i in range(0,10):
cv... | meisenstat/ComputerVisionAssignments | FinalProject/siftTest.py | siftTest.py | py | 957 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.IMWRITE_JPEG_QUALITY",
"line_... |
32712436814 | import mplfinance as mpf
import matplotlib.animation as animation
import create_candles
from main import Broker
from candles import ReversalPatterns
class Animation:
tik = input("Choose your destiny: ")
Broker.dataframe = Broker.form_data(tik)
dframe = Broker.dataframe
# dframe = create_candles.cre... | code-ronin6/DayTrading | animation.py | animation.py | py | 2,484 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "main.Broker.dataframe",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "main.Broker",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "main.Broker.form_data",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "main.Bro... |
18411164617 | import base64
from urllib.parse import quote, unquote
from flask import (Flask, Response, redirect, render_template, request,
send_file, session, stream_with_context, url_for)
from htmlmin.minify import html_minify
app=Flask(__name__)
@app.route("/")
def index():
a="k"
return a
@app.route("/url-e... | Hydrophobefireman/urltools | aa.py | aa.py | py | 932 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "flask.reques... |
33168843557 | import pandas as pd
import statistics
import plotly.figure_factory as pf
import random
import plotly.graph_objects as go
dataFrame = pd.read_csv("StudentMarks-0.csv")
dataList = dataFrame["Math_score"].tolist()
dataFrameOfClassScore1 = pd.read_csv("ClassScore-1.csv")
dataListOfClassScore1 = dataFrameOfClassScore1["Ma... | RoshanJacob/Sample-ZTests-Class111 | sampleZ-Test.py | sampleZ-Test.py | py | 4,675 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "statistics.mean",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
6827987134 | from sqlalchemy import ForeignKey, Column, BigInteger, Integer, Float, String, Boolean, Date, DateTime, Text
from sqlalchemy.schema import UniqueConstraint
from sqlalchemy.orm import relationship
from sqlalchemy.exc import *
from ..db_utils import DbInstance
from ..config_utils import config
from ..portability import q... | tunghoang/ips-manager | apis/engines/db.py | db.py | py | 4,862 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "db_utils.DbInstance.getInstance",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "db_utils.DbInstance",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "config_utils.config.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_n... |
31469788625 | import vim
import markdown2
MD_EXTRAS = {
'inline-css': {
'sup': 'color:#6D6D6D; font-size:1ex;',
'inline-code': 'color: #000000; font-family: monospace,monospace; padding: 0.1em 0.2em; ' \
'margin: 0.1em; font-size: 85%; background-color: #F5F5F5; border-radius: 3px; ' \
'b... | tarlaw/vim-markdown-exporter | plugin/vim_markdown_exporter.py | vim_markdown_exporter.py | py | 2,447 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "markdown2.markdown",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "vim.current",
"line_number": 53,
"usage_type": "attribute"
}
] |
13950149409 | # -*- coding: UTF-8 -*-
# By Quentin HARDY (quentin.hardy@protonmail.com) - bobsecq
import logging
import sys
import os
from winproc import *
from windef import *
from ctypes import *
from utils import *
from anytree import Node, RenderTree, find
from tokenmanager import TokenManager
class Impersonate(TokenManager):
... | quentinhardy/pytmipe | src/impersonate.py | impersonate.py | py | 60,564 | python | en | code | 117 | github-code | 21 | [
{
"api_name": "tokenmanager.TokenManager",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "logging.error",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "logging.info",
... |
22215314286 | import torch
import torch.nn as nn
import torch.nn.functional as F
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
self.conv1 = nn.Conv2d(1, 10, kernel_size=5)
self.conv2 = nn.Conv2d(10, 20, kernel_size=5)
self.conv2_drop = nn.Dropout2d()
self.fc1 = nn.... | op-real/dc-gan | mnist-test-mnist.py | mnist-test-mnist.py | py | 1,762 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numbe... |
24433332177 | import json
nums = [5, 2, 3, 4, 1, 8, 8, 9, 5, 3]
x = set(nums)
y = list(x)
y.sort()
print(y)
# eval json
b = '1+1'
print(eval(b))
per = {'name': 'lc', 'age': 20} # 字典
# 字典转为json’
j = json.dumps(per)
print(j, type(j))
# json转为字典
# js = '{"name": "lc", "age": 20}'
s = json.loads(j)
print(s, type(s))
| lc2019/pycode-sixmonth | day3/5.练习.py | 5.练习.py | py | 327 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.dumps",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 20,
"usage_type": "call"
}
] |
26381570145 | # import openpyxl
import bs4
import requests
# # import os
# # import sys
def yearfinder():
y = "2016"
m = "12"
d = "25"
code = y+"/"+m+"/"+d
url = 'http://www.columbiapipeinfo.com/infopost/Default.aspx?info=Y'
response = requests.get(url)
soup = bs4.BeautifulSoup(response.text, "html.par... | samuel-casey/Skipping | scraper.py | scraper.py | py | 584 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
}
] |
23711180246 | import random
import sys
from PyQt5.QtGui import QPainter, QColor
from PyQt5.QtWidgets import QMainWindow, QApplication
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.setObjectName("MainWindow")
MainWindow.resize(800, 600)
... | HeavySaharok/yellow_cyrc | main.py | main.py | py | 2,346 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QPushButton",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "P... |
70592558452 | #!/usr/bin/env python3
from decorator import decorator
from memoize import memoize
from pickle import dump, load
from weakref import finalize
class file_dict(dict):
'''
Dictionary that is initiated from a given file (if it exists) and
writes its own contents to the same file on deletion.
'''
def __init__(self, f... | Daerdemandt/python-decorators | memoize_using_file.py | memoize_using_file.py | py | 1,891 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pickle.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "weakref.finalize",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "memoize.memoize",
"line_... |
18522826695 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.index, name='creator'),
url(r'^graph/$', views.create_graph_rules),
url(r'^graph_ruleset/$', views.NewGraphRules.as_view()),
url(r'^(?P<class_name>[\w-]+)/$', views.class_detail)
]
| azz/clicker | creator/urls.py | urls.py | py | 285 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"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.co... |
10404799349 | from setuptools import setup
from setuptools_rust import RustExtension
from wheel.bdist_wheel import bdist_wheel
ABI_VERSION = "37"
class bdist_wheel_abi3(bdist_wheel):
def get_tag(self):
python, abi, plat = super().get_tag()
if python.startswith("cp"):
# on CPython, our wheels are a... | RazerM/crabwalk | setup.py | setup.py | py | 700 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "wheel.bdist_wheel.bdist_wheel",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "setuptools.setup",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "setuptools_rust.RustExtension",
"line_number": 21,
"usage_type": "call"
}
] |
27190811005 | import csv
import json
csvFilePath= 'NASDAQ.csv'
jsonFilePath = 'NASDAQ.json'
#reading csv and adding data to dictonary
data = {"symbols" :[]}
with open(csvFilePath, 'r') as csvFile:
csvReader = csv.reader(csvFile)
next(csvReader)
for row in csvReader:
data['symbols'].append({
'serial... | Sayed-Noman/Stock-Market-Dashboard | trading_widget/csv_to_json.py | csv_to_json.py | py | 538 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "csv.reader",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 23,
"usage_type": "call"
}
] |
36167682632 | """The setup script."""
from setuptools import setup, find_packages
with open("requirements.txt") as f:
requirements = f.read().splitlines()
with open("README.md") as readme_file:
readme = readme_file.read()
setup(
author="Brice Michalski",
author_email="brice.michalski.92@gmail.com",
install_re... | BriceMichalski/Heimdall | setup.py | setup.py | py | 619 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 19,
"usage_type": "call"
}
] |
9905508358 | # -*- coding: utf8 -*-
import os
import sys
import re
import time
import collections
from datetime import datetime, timedelta
import libs.common as CMN
import libs.base as BASE
# import web_scrapy_company_profile as CompanyProfile
# import web_scrapy_company_group_set as CompanyGroupSet
# import web_scrapy_timeslice_g... | Everett6802/finance_scrapy | depreated_libs/stock/stock_url_time_range.py | stock_url_time_range.py | py | 16,293 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "libs.common.LOG.get_logger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "libs.common.LOG",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "libs.common",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "libs.base... |
23889879548 | import pandas as pd
from datetime import date
import psycopg2
import config
def populate_user_table_from_csv(csv_file):
conn = psycopg2.connect(
host=config.live_config.host,
database=config.live_config.database,
user=config.live_config.user,
password=config.live_co... | tracedelange/money-talks-twitter-scrape | populate_user_table_from_csv.py | populate_user_table_from_csv.py | py | 1,108 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "psycopg2.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "config.live_config",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "config.live_config",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "config... |
71845809332 | from collections import deque
def bfs(s):
queue.append(s)
visited[s] = 1
while(queue):
now = queue.popleft()
if now == g:
return visited[now] - 1
for next in range(1, v + 1):
if arg[now][next] == 0:
continue
if visited[next] > 0:... | xktmxkem/TIL-Today-I-Learn | algorithm/in_class/노드의거리.py | 노드의거리.py | py | 859 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 30,
"usage_type": "call"
}
] |
43627445280 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
@Time : 2023/1/6 15:12
@Author : Haozhao Ma
@Email : haozhaoma@mail.nwpu.edu.cn
@time: 2023/1/6 15:12
"""
import os
import os.path as osp
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
os.environ['CUDA_VISIBLE_DEVICES'] = '3'
import torch
import numpy as n... | omtcyang/Text-Pass-filter | utils/draw_mask.py | draw_mask.py | py | 5,337 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_... |
10363515916 | #!/usr/bin/python3
import pytest
import datetime
import pushbullet
from convmgr import notification, config, status
from tests import common
from unittest import mock # python 3.3+
testConfigFile = config.convmgrconfig( common.rootPath )
testStatusFile = status.convmgrstatus( common.rootPath )
testDate = datetime... | jconstam/convmgr | tests/test_notification.py | test_notification.py | py | 2,586 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "convmgr.config.convmgrconfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "convmgr.config",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tests.common.rootPath",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name":... |
42081790026 | # coding: utf-8
import json
import logging
import os
import sys
from edge_om.src.utils.high_risk.high_risk_op_policy import SiteHighRiskOp, HighRiskConfig
from glib.utils.high_risk_op_policy import Cmd
from glib.utils.high_risk_op_policy import CmdDisableAllOpt
from glib.utils.high_risk_op_policy import HighRiskOpPoli... | Ascend/tools | intelligent_edge_tools/edge_ability_tool/site_high_risk_ops_cli.py | site_high_risk_ops_cli.py | py | 4,397 | python | en | code | 11 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "glib.utils.high_risk_op_policy.HighRiskOpPolicyCli",
"line_number": 16,
"usage_type": "name"
},
... |
29737035711 | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 16 23:03:24 2015
@author: dvalentin
"""
from weather_reader import get_temperature
import datetime
import random
x = "10016"
weather_url = "http://api.openweathermap.org/data/2.5/weather?zip=05753,us&appid=2de143494c0b295cca9337e1e96b00e0&units=imperial"
def passit(z... | david-valentin/weather_extractor | weather_aggregator.py | weather_aggregator.py | py | 1,863 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "da... |
20640537176 | import numpy as np
from jacobi import jacobi
A = np.array([[1,2,3],[4,-8,1],[-2,1,5]])
b = np.array([7,-21,15]).T
x0 = np.array([0,0,0]).T
ep = 1e-7
x,k = jacobi(A,b,x0,ep)
print(x)
print(k)
| wanglongjuan/wlj-study | python-example/1/jacobi/jacobi_test.py | jacobi_test.py | py | 194 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "jacobi.jacobi",
"line_number": 9... |
13070470984 | import gspread
import os
credentials_path = './media/json/qlash-bot-c0a45565e4f0-google-api.json'
gc = gspread.service_account(filename=credentials_path)
async def writeall(ctx):
sheet = gc.open("Registrations").sheet1
colA = "A"
colB = "B"
int = 2
for member in ctx.guild.members:
row = str... | lorycontixd/qlashbot | iqloudy/modules/google/library.py | library.py | py | 1,057 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "gspread.service_account",
"line_number": 4,
"usage_type": "call"
}
] |
3799961561 | from django import template
register = template.Library()
CENSORED = [
'ово',
]
@register.filter()
def censor(value):
if isinstance(value, str):
for word in CENSORED:
if word in value:
value = value.replace(word, word[:1] + '**')
return value
| ap4u7/D6 | NewsPortal/news/templatetags/custom_filters.py | custom_filters.py | py | 300 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.template.Library",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 3,
"usage_type": "name"
}
] |
36768122915 | ######################################################################################################################
# normalize, resample and chop all medley db files while retaining the directory structure
# elapsed time ca 24m.
#######################################################################################... | conceptacid/mir3 | data_chop_medley_db.py | data_chop_medley_db.py | py | 3,587 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",... |
34738571535 | from flask import Flask, request
from flask_restful import Resource,Api
app = Flask(__name__)
api = Api(app)
#creating in memory list
users = []
class User(Resource):
def get(self,name):
#loop through the users list and match the name given in the url with users list
for user in users:
... | spalaios/bon_premium | code/app.py | app.py | py | 1,155 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_restful.Resource",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.request.get_... |
35720453992 | from qutip import *
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation, writers
import matplotlib as mpl
MAX_J = 50
Λ = 25
ΔE = 0
N = 100
D = 0.0
t_max = 3.5
Δt = 0.01
t_max = np.pi * t_max / np.sqrt(1 + Λ) # Normalization
Δt = np.pi * Δt / np.sqrt(1 + Λ)
t = np.arange... | lytex/Quantum-catastrophes | quantum.py | quantum.py | py | 1,146 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.pi",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number"... |
19738085215 | import cv2
import numpy as np
from skimage.exposure import rescale_intensity
def searchRightSide(bloc, img, row, col, bindex, searchspace, dmeasure, errors):
begin = max(col-1, bindex)
end = min(img.shape[1]-bindex, col + searchspace)
for j in range(begin, end):
bl = img[row - bindex : ... | Arajinzz/disparity_test | disp.py | disp.py | py | 1,843 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.argmin",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.argmin",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_nu... |
36287390230 |
import pickle
import argparse
import os
import torch
import mmcv
from tools import evaluate
from mmcv.runner import load_checkpoint, parallel_test, obj_from_dict
from mmanomaly.models.ano_pred_cvpr2018_model import APCModel
from mmcv.parallel import scatter, collate, MMDataParallel
from mmanomaly.datasets.transform i... | xyty-citibank/anomaly-detection | tools/inference.py | inference.py | py | 3,883 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "mmcv.Config.f... |
11855128898 | #! /usr/bin/env python3
import re
from common import *
from dataclasses import dataclass
@dataclass
class CleanupRange:
head1: int
tail1: int
head2: int
tail2: int
@property
def wholly_contained(self) -> bool:
first = self.head1 <= self.head2 <= self.tail2 <= self.tail1
seco... | wcraigtrader/advent-of-code-2022 | src/day04/puzzle04.py | puzzle04.py | py | 1,215 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "re.split",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 9,
"usage_type": "name"
}
] |
20717635178 | import os
import shutil
from tensorboardX import SummaryWriter
import sys
sys.path.append("..")
from main import args
def set_writer(writer_path):
if os.path.exists(writer_path):
shutil.rmtree(writer_path)
else:
os.mkdir(writer_path)
print('==> Writer saved to {}'.format(writer_path))
... | delian11/ADDL | utils/set_path.py | set_path.py | py | 1,970 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
34877297617 | import json, requests, itertools, collections, os, traceback, copy,time
from bs4 import BeautifulSoup
from Orchestrator.settings import WAPPALIZE_KEY
from .. import constants
from ..slack import slack_sender
from ..mongo import mongo
from ..redmine import redmine
from datetime import datetime
from ...objects.vulnerabil... | badBounty/Orchestrator | Orchestrator/OrchestratorApp/src/security/libraries_scan.py | libraries_scan.py | py | 5,748 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "mongo.mongo.find_last_version_of_librarie",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mongo.mongo",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requ... |
26622578000 |
import torch
import torch.nn as nn
import numpy as np
def reg_l1_loss(pred, target, mask):
"""
compute l1_loss
:param pred: b c h w
:param target: b c h w
:param mask: b h w
:return:
"""
# # pred = pred.permute(0,2,3,1)
# # (b h w) to (b h w 1) to (b h w 2)
... | chgex/PSNet | ICSNet/model/loss.py | loss.py | py | 5,778 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torch.unsqueeze",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.unsqueeze",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.pow",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "torch.clamp",
"line_num... |
37124093300 | import threading
from collections import namedtuple, defaultdict
from functools import reduce
import deuces
RoundSummary = namedtuple('RoundSummary',
'hands_played board players winners blinds')
evaluator = deuces.Evaluator()
def distribute_pot(players, board):
players = set(players)... | liona24/pokergame | src/pokergame/poker.py | poker.py | py | 9,113 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.namedtuple",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "deuces.Evaluator",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "deuces... |
26992603561 | from sklearn.metrics import f1_score, precision_score, recall_score
import numpy as np
from nltk import tokenize as nltk_token
import operator
import re
import random
from collections import Counter
import json
def get_batches(data, batch_size, pad_idx, hate=None, offensive=None, SGT=None):
batches = []
for id... | aidamd/HateSpeech | nn.py | nn.py | py | 6,144 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.metrics.f1_score",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.precision_score",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.recall_score",
"line_number": 36,
"usage_type": "call"
},
{
... |
27709862646 | from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import QMainWindow
from PyQt5.QtGui import QIcon
import sys
import a
import b
class Ui_Dialog(object):
def __init__(self, a):
self.a = a
def setupUi(self, Dialog):
Dialog.setObjectName("Dialog")
self.icon0 = QtGui.QPix... | AhmetFurkanDEMIR/DEncrypt-21 | main.py | main.py | py | 4,162 | python | en | code | 24 | github-code | 21 | [
{
"api_name": "PyQt5.QtGui.QPixmap",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QPushButton",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtW... |
22525089215 |
# coding: utf-8
# ## Bio Homework 3
#
# ### Sepehr Torabparhiz
# ### 93100774
# ### Q1: BWT
# coding: utf-8
# ## Bio Homework 3
#
# ### Sepehr Torabparhiz
# ### 93100774
# ### Q1: BWT
# coding: utf-8
# ## Bio Homework 3
#
# ### Sepehr Torabparhiz
# ### 93100774
# ### Q1: BWT
# coding: utf-8
# ## Bio Home... | errantsky/bioinformatics-assignments | hw3/bwt.py | bwt.py | py | 4,043 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "functools.cmp_to_key",
"line_number": 115,
"usage_type": "call"
},
{
"api_name": "functools.cmp_to_key",
"line_number": 142,
"usage_type": "call"
}
] |
749213811 | import pathlib
import pandas # type: ignore
class Dataset:
def __init__(self):
self.dataset = pandas.read_csv(str(pathlib.Path(__file__).parent) + '/dataset.csv',
names=['personagem_1', 'personagem_2', 'interacoes', 'livro'])
def add(self, source: str, target:... | Rodrigosis/meli-challenge | src/infra/dataset.py | dataset.py | py | 684 | python | pt | code | 1 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line... |
5096073501 | import argparse
import os
from typing import List
import mlflow
import mltable
import numpy as np
from sklearn.impute import SimpleImputer
from sklearn.model_selection import GridSearchCV
from sklearn.pipeline import Pipeline, make_pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.svm import SVR
... | marvinbuss/enterprise-ml | code/ml/train/main.py | main.py | py | 5,761 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.ones",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "argparse.Namespace",
"line_... |
43713794280 | from django.urls import path, include
from . import views
urlpatterns = [
path('', views.getSubjects, name='Get-Subjects'),
path('add/', views.addSubject, name='Add-Subject'),
path('addAgeCategory/', views.addAgeCategory, name='Add-Age-Category'),
path('ageCategory/', views.getAgeCategories, name='Ge... | danushkan2002/GlobalVison | api/subjects/urls.py | urls.py | py | 1,343 | python | en | code | 0 | github-code | 21 | [
{
"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",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
7519491897 | #!/usr/bin/env python3
import sys
import numpy
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Dropout
from keras.layers import LSTM
from keras.callbacks import ModelCheckpoint
from keras.utils import np_utils
def extract_vocab(raw_text):
chars = sorted(list(set(raw_tex... | proycon/nlpsandbox | lstmrnn.py | lstmrnn.py | py | 3,458 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "numpy.reshape",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "keras.utils.np_utils.to_categorical",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "keras.utils.np_utils",
"line_number": 32,
"usage_type": "name"
},
{
"api_name":... |
30982976457 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
requires = [
'schematics',
'jsonschema==2.6.0'
]
test_requires = requires + [
's... | openprocurement/schematics-flexible | setup.py | setup.py | py | 1,625 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 26,
"usage_type": "call"
}
] |
32287535170 | import pocs
from lib import config
import re
import requests
from bs4 import BeautifulSoup
import urllib3
from colorama import init
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
init(autoreset=False)
# 定义类 名称不可改变，且需要继承父类Pocs
class POC(pocs.Pocs):
def __init__(self):
'''
... | haochen1204/FrostBlade | FrostBlade/pocs/scanner/致远oa/致远oa登录绕过_文件上传漏洞.py | 致远oa登录绕过_文件上传漏洞.py | py | 2,494 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "urllib3.exceptions",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "colorama.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pocs.Pocs... |
39717290961 | from django.urls import path
from .views import *
app_name = 'photo_gallery'
urlpatterns = [
path('', RetriveAllImagesView.as_view()),
path('tag/<str:tag>/', RetriveEventImagesView.as_view()),
path('<int:pk>/', RetriveImagesViewByID.as_view()),
] | dev-great/Llona_Musik_DB | photo_gallery/urls.py | urls.py | py | 260 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
}
] |
38453824771 | import warnings
from dataclasses import dataclass
from typing import Callable, Dict, Union, List
import numpy as np
from .modelspec import Parameter, ParameterSet
from .util import ReprMixin, _slsqp_epsilon
from importlib.util import find_spec
@dataclass
class Configuration(ReprMixin):
"""
Configuration for... | m-guggenmos/remeta | remeta/configuration.py | configuration.py | py | 30,674 | python | en | code | 14 | github-code | 21 | [
{
"api_name": "util.ReprMixin",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "modelspec.ParameterSet",
"line_number": 246,
"usage_type": "name"
},
{
"api_name": "modelspec.ParameterSet",
"line_number": 247,
"usage_type": "name"
},
{
"api_name": "typing... |
43893631461 | """add_purpose_to_user
Revision ID: 7386d3b3e545
Revises: 955c667efc65
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '7386d3b3e545'
down_revision = '955c667efc65'
TABLE = 'auth_user'
COL = 'purpose'
def upgrade():
op.add_column(
TABLE,
... | wazo-platform/wazo-auth | wazo_auth/database/alembic/versions/7386d3b3e545_add_purpose_to_user.py | 7386d3b3e545_add_purpose_to_user.py | py | 651 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "alembic.op.add_column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Text",
... |
27858345175 | from django.db import models
from django.contrib.auth.models import Group
class Evento(models.Model):
titulo = models.CharField(max_length=30)
fecha_inicio = models.DateField()
fecha_termino = models.DateField()
descripcion = models.TextField(max_length=255, blank=True)
segmento = models.Ma... | MattKRZ/CER3-Agenda-USM | core/models.py | models.py | py | 1,082 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "... |
33129994668 | from aws_cdk import (
aws_ec2 as ec2,
)
from constructs import Construct
class VPC(Construct):
def __init__(self, scope: Construct, id_: str, cidr: str) -> None:
super().__init__(scope, id_)
self.vpc = ec2.Vpc(
self,
"VPC",
max_azs=2,
cidr=cidr... | aws-samples/aws-swagger-ui | networking/vpc.py | vpc.py | py | 1,015 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "constructs.Construct",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "constructs.Construct",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "aws_cdk.aws_ec2.Vpc",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "aws_cdk.a... |
20392567684 | import torch.nn as nn
import torch
from torch.nn.modules.loss import L1Loss
## Adversarial network called FedADG
class c_network(torch.nn.Module):
def __init__(self):
# Various initializations
super(c_network, self).__init__()
self.device = torch.device('cuda' if torch.cuda... | PotSergione/MLDL23-FL-project | models/FedADG.py | FedADG.py | py | 3,991 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"l... |
33298114288 | import discord
import asyncio
import os
client = discord.Client()
token = "ODg5MTE5ODg1OTk5ODkwNTIy.YUcnaw.a99z-_2MIJwy4u933tR7mlbNYcg"
@client.event
async def on_ready():
print(client.user.name)
print("성공적으로 봇이 실행되었습니다")
game = discord.Game('오아앙')
await client.change_presence(status=d... | errors2134/asdf | main.py | main.py | py | 1,576 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "discord.Client",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "discord.Game",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "discord.Status",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "discord.Embed",
"l... |
2366812949 | from sys import stdin as s
from collections import deque
s=open("input.txt","rt")
n,k= map(int,s.readline().split())
list1=list(map(str,s.readline()))
dq=deque()
dq_max=deque()
for i in list1:
dq.append(int(i))
while len(dq)<=n and len(dq)!=0:
if len(dq_max)==0:
dq_max.append(dq.pop())
e... | heekyoung2000/jungle-algorithm | second/stack/2812_ag.py | 2812_ag.py | py | 522 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "sys.stdin.readline",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "sys.stdin.readline",
"line_nu... |
34466354303 | # -*- coding: utf-8 -*-
"""
Diese Datei sollte nicht verändert werden und wird von uns gestellt und zurückgesetzt.
Funktionen zum Laden und Speichern der Dateien
"""
__author__ = "Maurice Rohr und Christoph Reich"
from typing import List, Tuple
import csv
import scipy.io as sio
import numpy as np
import os
### Achtu... | ChristophReich1996/ECG_Classification | wettbewerb.py | wettbewerb.py | py | 3,941 | python | de | code | 35 | github-code | 21 | [
{
"api_name": "os.path.exists",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_num... |
26556608531 | import matplotlib.pyplot as plt
import spacepy.datamodel
import matplotlib.gridspec as gridspec
import dateutil.parser
import numpy as np
from datetime import datetime
fDir = '/home/mike/FIREBIRD/Datafiles/FU_3/hires/level2/'
fName = 'FU3_Hires_2015-02-02_L2.txt'
hr = spacepy.datamodel.readJSONheadedASCII(fDir + fName... | mshumko/bouncing_microburst | event0/compare_sur_col_detectors.py | compare_sur_col_detectors.py | py | 1,126 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "spacepy.datamodel.datamodel.readJSONheadedASCII",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "spacepy.datamodel.datamodel",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "spacepy.datamodel",
"line_number": 10,
"usage_type": "na... |
70525494454 | from django.conf.urls import patterns, include, url
from photolog.views import HomeView, PhotologDetailView, PhotologAsGalleryDetailView, \
PhotoCommentsView, NeedLoginView
urlpatterns = patterns('',
url(r'^$', HomeView.as_view(), name='home'),
url(r'^p/(?P<pk>\d+)/$', PhotologDetai... | leench/photolog | photolog/urls.py | urls.py | py | 1,006 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "photolog.views.HomeView.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_n... |
26717026508 | import datetime as dt
import matplotlib.pyplot as plt
from matplotlib import style
import pandas as pd
import pandas_datareader.data as web
import os
import csv
#------------------------------------------------------------------------------------------------------
#----------------------------------------------------... | mattrdurante/ratebeer | Stock Analysis.py | Stock Analysis.py | py | 2,198 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.chdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.style.use",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.style",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
... |
20598430601 | import vk_api, json, requests, traceback
from vk_api.bot_longpoll import VkBotEventType
vk_session = vk_api.VkApi(token='token')
vk = vk_session.get_api()
longpoll = vk_api.bot_longpoll.VkBotLongPoll(vk_session, id, wait=25)
while True:
try:
for event in longpoll.listen():
obj = event.object... | yar314/Vk_schedule_bot | sendbot.py | sendbot.py | py | 991 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "vk_api.VkApi",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "vk_api.bot_longpoll.VkBotLongPoll",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "vk_api.bot_longpoll",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "... |
41621781284 | from django.urls import path
from . import views
# from knox import views as knox_views
urlpatterns = [
path('home/', views.home, name = 'home'),
path('stocks', views.stock_details.as_view(), name = 'stock_detail'),
path('setting_nse', views.setting_nse.as_view(), name = 'setting_nse'),... | agpatel111/stock-django | nse_app/urls.py | urls.py | py | 1,118 | python | en | code | 0 | github-code | 21 | [
{
"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",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
37477631758 | # -*- coding: utf-8 -*-
import scrapy
import re
from scrapy.exceptions import CloseSpider
from company.database.DBHelper import DBHelper
from scrapy.http import Request
from company.items import CompanyItem
from urllib.parse import quote,unquote
import json
class TianyanchaSpider(scrapy.Spider):
name = 'tianyan... | czliuming/company | company/spiders/tianyancha.py | tianyancha.py | py | 4,989 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scrapy.Spider",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "company.database.DBHelper.DBHelper.query_location",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "company.database.DBHelper.DBHelper",
"line_number": 25,
"usage_type"... |
73353338294 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
#from time import sleep
import string
import collections
import matplotlib.pyplot as plt
f = open(r'C:\Users\user\Desktop\Alice.txt','r', encoding='utf8')
a = []
b= []
for line in f.readlines():
res = line.replace('\n', ''... | CFP106022212/10720PHYS290000 | Zipf's Law.py | Zipf's Law.py | py | 651 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "string.punctuation",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "collections.Counter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.loglog",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "... |
72405302134 | # -*- coding: utf-8 -*-
#!/usr/local/bin/python
import os
import xlrd
from xlutils.copy import copy
import xlwt
import re
import urllib.request as ur
import requests
import urllib
import json
from xlwt.Workbook import Workbook
import xlwt
from csv2excel import csv_to_xls
import information
from xlwt imp... | nickcafferry/Application-Chemical-Engineer | data/分析报告转化配方表算法/转化算法.py | 转化算法.py | py | 31,367 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "xlwt.XFStyle",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "xlwt.Font",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "xlwt.Borders",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "xlwt.Alignment",
"line_number... |
7437713120 | from app import app, db
from flask import render_template, request, redirect, flash, url_for
from app.forms import LoginForm, RegisterForm, EditProfileForm
from app.models import User, Post
from flask_login import current_user, login_user, logout_user, login_required
from werkzeug.urls import url_parse
from datetime im... | kirillsCode/PyFlask | app/routes.py | routes.py | py | 3,010 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask_login.current_user.is_authenticated",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask_login.current_user",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flask_login.current_user.last_seen",
"line_number": 13,
"usage_ty... |
24730555658 | # Claire Peters, October 2019
# Script feeds multiple directories of recorded audio files through Google
# Cloud's Speech-to-Text API to produce searchable .txt transcripts.
import argparse
import datetime
import io
import os
import sys
from google.cloud import speech_v1p1beta1 as speech
from google.cloud.speech_v1p1b... | claire-peters/analysistools | masstranscription.py | masstranscription.py | py | 3,629 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.getmtime",
"line_number": 18,
"usage_type": "call"
},
{
"api_name"... |
18587521021 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
This includes tests for the Distance class and related calculations
"""
import numpy as np
import pytest
from numpy import testing as npt
from astropy import units as u
from astropy.coordinates import CartesianRepresentation, Distance, Latitude, Long... | astropy/astropy | astropy/coordinates/tests/test_distance.py | test_distance.py | py | 10,222 | python | en | code | 4,015 | github-code | 21 | [
{
"api_name": "astropy.coordinates.Distance",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "astropy.units.parsec",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "astropy.units",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "... |
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