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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4148739067 | ############################################################################################################################################
# This script is used to get all 3rd party dependencies managed by spring-boot-dependencies and spring-cloud-dependencies.
#
# How to use this script.
# 1. Get `SPRING_BOOT_VERSI... | Azure/azure-sdk-for-java | sdk/spring/scripts/get_spring_boot_managed_external_dependencies.py | get_spring_boot_managed_external_dependencies.py | py | 11,298 | python | en | code | 2,081 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "log.log.set_log_level",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "log.log",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "time.time",
... |
37768964225 | """
Defines the classes used for mapping generator artifact rules.
"""
from abc import ABC, abstractmethod
from enum import StrEnum
from .constants import *
from .logger import logger
from .versions import ParsedVersion
class MappingRuleAction(StrEnum):
"""Enumerates the actions that can be taken on an artifact... | sgammon/rules_graalvm | tools/scripts/mapping_generator/rule.py | rule.py | py | 11,263 | python | en | code | 16 | github-code | 21 | [
{
"api_name": "enum.StrEnum",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "enum.StrEnum",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "abc.ABC",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_numb... |
27259970732 | from collections import defaultdict
from graph import Graph
import sys
sys.setrecursionlimit(10000)
def search(word, words):
n1 = len(words)-1
n2 = 0
if word == words[n1]:
return n1
while True:
id = (n1+n2)//2
if word == words[id]:
break
if word < words[id]... | catShaark/b-a-i-t-a-p-t-o-a-n-r-o-i-r-a-c | 5757_words_a.py | 5757_words_a.py | py | 2,020 | python | vi | code | 0 | github-code | 21 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "graph.Graph",
"line_number": 61,
"usage_type": "call"
}
] |
23209594865 | # -*- coding: UTF-8 -*-
import numpy as np
import nrrd
import cv2
import imageio
class SegFat:
def __init__(self):
# ======== 读part1 ========
path = './result/nrrd'
self.target = self.nrrd2np(path + '/data_part1.nrrd')
self.bone = self.nrrd2np(path + '/bone_part1.nrrd')
... | WangMal/pelvicFat_seg | part1_seg.py | part1_seg.py | py | 5,469 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "nrrd.read",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 26... |
10002388712 | import boto3
from botocore.exceptions import ClientError
import jmespath
import json
import os
AWS_REGION = 'us-east-1'
kms = boto3.client('kms', region_name=AWS_REGION)
keys = kms.list_keys()
key_ids = jmespath.search('Keys[].KeyId', keys)
key_arns = jmespath.search('Keys[].KeyArn', keys)
def enabled_keys(key_ids):... | philgladman/aws-resource-collector | kms/list-kms-keys.py | list-kms-keys.py | py | 2,533 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "boto3.client",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "jmespath.search",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "jmespath.search",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "jmespath.search",
"li... |
19682240907 | import pandas as pd
from pyomo.environ import * # !! Please don't delete this
from pyomo.core.base.PyomoModel import *
from pyomo.core.base.constraint import *
from pyomo.core.base.objective import *
from pyomo.core.base.var import *
from pyomo.core.kernel.set_types import *
from pyomo.opt.base.solvers import *
import... | pan5431333/pyoptree | pyoptree/optree.py | optree.py | py | 43,830 | python | en | code | 31 | github-code | 21 | [
{
"api_name": "abc.ABCMeta",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "numpy.inf",
... |
30196229554 | from outlier_detect import test_ucirv
import matplotlib.pyplot as plt
import time
import numpy as np
if __name__=='__main__':
st = time.time()
# all attack and device names
sub_attacks = ["/udp","/syn", "/ack", "/scan","/udpplain","/junk", "/scan","/udp","/tcp"]
devices = ["Danmini_Doorbell","Ecobee_Thermos... | adamk1997/thesis_code | outlier_script.py | outlier_script.py | py | 2,165 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "time.time",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "outlier_detect.test_ucirv",
"lin... |
31791797671 | """
author : Lee Sang Min
github : https://github.com/sangm1n
e-mail : dltkd96als@naver.com
title : topology sort
"""
import sys
from collections import deque
input = sys.stdin.readline
v, e = map(int, input().split())
# 진입차수
indegree = [0] * (v+1)
graph = [[] for _ in range(v+1)]
for _ in range(e):
a, b = map(... | sangm1n/problem-solving | CodingTest/10-6.py | 10-6.py | py | 763 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 25,
"usage_type": "call"
}
] |
6028715332 | # Project Catching the Bus
# https://www.safaribooksonline.com/library/view/python-programming-language/9780134217314/PYMC_01_02.html
import urllib.request
u = urllib.request.urlopen('http://ctabustracker.com/bustime/map/getStopPredictions.jsp?stop=14787&route=22')
data = u.read()
from xml.etree.ElementTree import XM... | Wildbird74/PythonClasses | testytest/bus.py | bus.py | py | 391 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 5,
"usage_type": "name"
},
{
"api_name":... |
28158164420 | #!/usr/bin/env python3
import sys
from pathlib import Path
import re
prefix_re = re.compile(r"^(-?\d+(?:\.\d+)?)-")
def get_prefix_float(s: str) -> float:
searched = prefix_re.search(s)
assert searched is not None, f"no prefix found in {s}"
return float(searched.group(1))
def path_sort_key(p: Path) ->... | whi-tw/.zshrc | scripts/sort_files.py | sort_files.py | py | 850 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "re.compile",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number":... |
16127645144 | import requests, nltk
from bs4 import BeautifulSoup
from collections import Counter
r = requests.get('https://www.gutenberg.org/files/16/16-h/16-h.htm')
r.encoding = ('utf-8')
html = r.text
soup = BeautifulSoup(html)
text = soup.get_text()
tokenizer = nltk.tokenize.RegexpTokenizer('\w+')
tokens = tokenizer.tokenize(tex... | dmgonzalezmunoz/word-counter | word_counter.py | word_counter.py | py | 570 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.RegexpTokenizer",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "nltk.tokeni... |
37275876468 | import bpy
import os
import math
import sys
import csv
base_path = "G:\\Programming\\Repositories\\University\\FloatingTrain\\matlab\\SB-1\\"
aller_path = base_path + "aller.csv"
retour_path = base_path + "retour.csv"
initial_x = -23
initial_y = -10
initial_z = -1.0
# get the train object
train = bpy.d... | Sytten/FloatingTrain | matlab/SB-1/code_trajectoire.py | code_trajectoire.py | py | 1,155 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "bpy.data",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 45,
"usage_type": "attribute"
}
] |
9318795153 | #!/usr/bin/env python
import sys, random, os, subprocess, multiprocessing, time
import PIL
from PIL import Image
from argparse import ArgumentParser
parser = ArgumentParser(description=__doc__)
parser.add_argument("--newer", action='store_true')
parser.add_argument("--parallel", default=6, type=int)
parser.add_argum... | tridge/junkcode | log_analysis/create_maps.py | create_maps.py | py | 2,303 | python | en | code | 21 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "inspect.getfile",... |
8420109278 | import pandas as pd
import matplotlib.pyplot as plt
import math
import os
from enum import Enum
class Metric(Enum):
AVG_TPUT = 0
LATENCY = 1
PFD = 2
SUBMITTED = 3
INFLIGHT = 4
CNC = 5
COMPLETED = 6
CONSUMED = 7
REAL_CONSUMED = 8
WAIT = 9
def global_max(local_max, global_max):
... | melanieplageman/prefetcher_charter | chart.py | chart.py | py | 3,587 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "enum.Enum",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot... |
16789923227 | #!/usr/bin/env python
# coding: utf-8
import time
import glob
import util
import json
import os.path
import requests
import pandas as pd
from datetime import datetime
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
session = requests.Session()
retry = Retry(connect=3, backoff_factor=0... | carolmb/mastodon-proj | notebooks/14_users_following.py | 14_users_following.py | py | 3,581 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.Session",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "urllib3.util.retry.Retry",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.adapters.HTTPAdapter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name"... |
40257870496 | """#!/home/sgc/anaconda3/envs/phaseNet/bin/python"""
# -*- coding: utf-8 -*-
from obspy import UTCDateTime
from obspy.clients.fdsn import Client
import os, multiprocessing
from datetime import timedelta
try:
from utils.merge_xml_picks import merge_xml_picks
except ModuleNotFoundError:
from merge_xml_picks impor... | dsiervo/sc3_ai_picker | utils/playback.py | playback.py | py | 15,675 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "os.path.isdir",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_nu... |
3500578095 | import copy
import inspect
import optparse
import os
import subprocess
import sys
import cStringIO
import common.python26_polyfill # pylint: disable=W0611
import collections # Import after polyfill to get OrderedDict on 2.6
from common import annotator
from common import chromium_utils
from slave import recipe_api... | sunny-bay/chromium30 | build/scripts/slave/annotated_run.py | annotated_run.py | py | 12,288 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"l... |
27366874196 | import pytest
from pytest_factoryboy import register
from .factories import (
UserFactory,
DefinitionExampleFactory,
EnglishWordFactory,
OshindongaIdiomFactory,
# OshindongaPhoneticFactory,
OshindongaWordFactory,
# UnfoundWordFactory,
WordDefinitionFactory,
)
register(UserFactory)
regi... | abiatarfestus/onestop | onestop/dictionary/tests/conftest.py | conftest.py | py | 1,239 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pytest_factoryboy.register",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "factories.UserFactory",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "pytest_factoryboy.register",
"line_number": 16,
"usage_type": "call"
},
{
"a... |
13751826466 | '''
Author: Mario Bartolomé
Date: Apr 3, 2018
######
Wrapper for agent controller systems
'''
from backend.comms.MultiWiiProtocol import MSPio
from backend.comms.RemoteControl import RemoteServer
# from backend.altitudeController import AltitudeController
from backend.sensors.Sensor import Sensor
from backend.sensor... | MarioBartolome/GII_0_17.02_SNSI | backend/systemControl/ctrlWrapper.py | ctrlWrapper.py | py | 15,092 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "typing.Dict",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": ... |
75075693 | import whisper
import pyaudio
import numpy as np
import wave
import struct
import os
import sys
from glob import glob
def record(idx, sr, framesize, t):
pa = pyaudio.PyAudio()
data = []
dt = 1 / sr
stream = pa.open(format=pyaudio.paInt16, channels=1, rate=sr, input=True, input_device_index=idx, frames_... | Shiiya0418/Whisper-Sample-for-Jetson | record.py | record.py | py | 985 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pyaudio.PyAudio",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pyaudio.paInt16",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.frombuffer",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "glob.glob",
... |
18382169111 | import fnmatch
import os
import time
import pytest
from wazuh_testing import logcollector
from wazuh_testing.tools import LOG_FILE_PATH
from wazuh_testing.tools.configuration import load_wazuh_configurations
from wazuh_testing.tools.services import control_service
from wazuh_testing.tools.file import truncate_file
fro... | wazuh/wazuh-qa | tests/integration/test_logcollector/test_macos/test_macos_format_only_future_events.py | test_macos_format_only_future_events.py | py | 7,120 | python | en | code | 29 | github-code | 21 | [
{
"api_name": "pytest.mark",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pytest.mark.tier",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
30476928278 | # author: Mike Dong, late November
# version: 1.3
import cx_Oracle
import PySimpleGUI as sg
from Add_Students import run_program as add
def run_program(course): # the function that runs everything, takes in the course name (name and year)
con = cx_Oracle.connect('EOM/EOM@127.0.0.1/xe') # connects to the databa... | sidbmw/GRADESK | Python/Edit_Students.py | Edit_Students.py | py | 5,476 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "cx_Oracle.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Input",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Input",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Che... |
38594248066 | import mpmath
#Compute alpha and beta of three-term recurrence relation of
#monic orthogonal polynomials induced by inner product
#<F, G> = int_a^b F(u) G(u) dW(u).
#Discretized Stieltjes procedure approximates the inner product as
#<F, G> ~ sum_{i = 1}^MDS cDSi * F(uDSi) * G(uDSi).
#alpha_m, 0 <= m <= M - 1
#beta_0 =... | ymkoyama/fcmf | gaussian_quadrature.py | gaussian_quadrature.py | py | 2,899 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "mpmath.mpf",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mpmath.mpf",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "mpmath.mpf",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mpmath.mpf",
"line_number": 16,
... |
73735838453 | # import warnings
# from collections import defaultdict
# import copy
# from coffea.nanoevents.util import quote
import collections.abc
import fnmatch
from coffea.nanoevents.schemas.base import BaseSchema, zip_forms
class PDUNESchema(BaseSchema):
__dask_capable__ = False
mixins = {
# branch tag : obj... | CoffeaTeam/coffea | src/coffea/nanoevents/schemas/pdune.py | pdune.py | py | 7,803 | python | en | code | 114 | github-code | 21 | [
{
"api_name": "coffea.nanoevents.schemas.base.BaseSchema",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "collections.abc.abc",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "collections.abc",
"line_number": 62,
"usage_type": "name"
},
{
... |
42970318635 | '''
Yeabkal Wubshit
Sudoku Solver using Backtracking and SAT Solver.
*** REQUIREMENTS ***
To solve a Sudoku puzzle through a SAT solver, you need to have either:
1) PySAT module installed (https://pypi.org/project/python-sat/) [PREFERRED WAY]
2) `minisat` command line tool
*** Usage ***
... | gabriellasanford/2020Vision | sudoku.py | sudoku.py | py | 22,878 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "shutil.which",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "pysat.solvers.Glucose3",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_... |
31508893065 | from typing import List, TYPE_CHECKING, Union
from ..enum import EventType, Stat, TraitType, DamageType
from ..buff import Buff
from .trait import Trait
from ..event import Event
from battle.construct import Damage
if TYPE_CHECKING:
from battle.construct import Champion
from ...action.state import StateManage... | TikaWorld/TFT-simulator | src/battle/construct/trait/divine.py | divine.py | py | 2,995 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "buff.Buff",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "event.Event",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "enum.EventType.BASIC_ATTACK... |
6742259348 | from logging import fatal
from os import name
from django.shortcuts import render
from django.http import JsonResponse, response
from InkItUp.models import *
from django.views.decorators.csrf import csrf_exempt
import json
# Create your views here.
#____________Get artists____________
def getAllartists(request):
... | Holmern/Django_Neo4j | Django_Neo4j/InkItUp/views/artist.py | artist.py | py | 3,470 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.http.response",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.http.response.append",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "django.http.response",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": ... |
43718612075 | import numpy as np
from scipy.linalg import logm
def skew(p):
p_skew = np.array([[0,-1*p[2],p[1]],[p[2],0,-1*p[0]],[-1*p[1],p[0],0]])
return p_skew
def pose_inv_map(T_mat):
w, v = np.linalg.eig(T_mat[0:3,0:3])
index = np.argmin(np.absolute(w.imag))
a = v[:,index].real
phi = np.arccos( (0.5)*(np.trace(T_ma... | jdmarr/se_project | util.py | util.py | py | 2,039 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.eig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.argmin",
"lin... |
19657659592 | from django.urls import path
from . import views
urlpatterns = [
path('fbase',views.fbase,name='fbase'),
path('waiting',views.waiting,name="waiting"),
path('showQuiz',views.showQuiz,name='showQuiz'),
path('leaderboard',views.leaderboard,name='leaderboard'),
path('download/<str:game>',views.download... | Mihirsinh-01/Quizck | game/urls.py | urls.py | py | 389 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
8243093820 | from fastapi import HTTPException, status
from backend.pkg import models
def create(item, db):
transport = models.Transport(id=item.id,
status=item.status,
plate_number=item.plate_number,
transport_type_id=item.tra... | nikitakosatka/polyus-transport | backend/pkg/api/repository/transport.py | transport.py | py | 1,467 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "backend.pkg.models.Transport",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "backend.pkg.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "backend.pkg.models.Transport",
"line_number": 17,
"usage_type": "attribute"
},
{
"a... |
22519176680 | import argparse
import json
import sys
from datetime import datetime
import numpy as np
import torch
import datasets
import models
import trainer
def get_default_args():
parser = argparse.ArgumentParser()
parser.add_argument("--seed", type=int, default=42)
#Trainer args
parser.add_argument("--learn... | IshwarKulkarni/seq2dCompletion | main.py | main.py | py | 2,467 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "datasets.SpiralDataset",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "datasets... |
26459338040 | import json
import spacy
nlp = spacy.load('en_core_web_lg')
from flask import Flask,request ,Response
app = Flask(__name__)
from neo4j import GraphDatabase, basic_auth
# from .utils import *
driver = GraphDatabase.driver(
"bolt://52.23.213.41:32889",
auth=basic_auth("neo4j", "discrepan... | shubh101295/CS711-AI-Lawyer | final/app.py | app.py | py | 9,577 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "spacy.load",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "neo4j.GraphDatabase.driver",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "neo4j.GraphDatabase",... |
41621751697 | from collections import namedtuple
from furl import furl
import requests
from festung._private import cast
from festung._private import no_password_url
from festung._private import to_headers
from festung._private import to_http_url
# Exceptions have to be on the DBAPI module
from festung.exceptions import DatabaseEr... | figome/python-festung | festung/dbapi.py | dbapi.py | py | 7,671 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "festung.exceptions.DataError",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "festung.exceptions.DatabaseError",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "festung.exceptions.IntegrityError",
"line_number": 50,
"usage_type": "name"... |
37494944771 | import torch
import numpy as np
from datetime import datetime
from base import base_trainer
class Trainer(base_trainer.BaseTrainer):
def __init__(
self, model, device, optimizer, lr=1e-3, scheduler=None, validate=True, **kwargs
):
super().__init__(
model=model,
device=... | kpomichowski/MoleDetector | trainer/trainer.py | trainer.py | py | 5,998 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "base.base_trainer.BaseTrainer",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "base.base_trainer",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.argmax",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "torch... |
41322244404 | """
Discrete action-space MDP environments,
which play nice with OpenAI Gym
"""
import numpy as np
from .mdp_solver import MDPSolver
class State():
def __init__(self, key, terminal=False):
self.key = key
self.actions = set()
self.action_next_states = {}
self.action_next_state_p = {}
self.action_next_st... | minqi/PyMDP | pymdp/mdp.py | mdp.py | py | 4,625 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "numpy.random.choice",
"line_number": 133,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 133,
"usage_type": "attribute"
},
{
"api_name": "mdp_solver.MDPSolver",
"line_number": 145,
"usage_type": "call"
},
{
"api_name": "numpy.r... |
13988282762 | import matplotlib.pyplot as plt
from matplotlib import style
style.use('fivethirtyeight')
from sklearn.datasets.samples_generator import make_blobs
import numpy as np
from scipy.stats import multivariate_normal
# 0. Create dataset
X,Y = make_blobs(cluster_std=1.5,random_state=20,n_samples=500,centers=3)
#... | ankitrathi33/Master-s-Degree | EMalgo.py | EMalgo.py | py | 6,076 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.style.use",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "matplotlib.style",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "sklearn.datasets.samples_generator.make_blobs",
"line_number": 10,
"usage_type": "call"
},
{
... |
43667227690 | """An example of `multiprocessing.Queue`.
There is also a `queue` module for in-process memory. It's for sharing
data between threads.
"""
import multiprocessing
def calc_square(ns, q):
"""The child process."""
for n in ns:
# `q` is a queue (FIFO).
q.put(round(n * n, 2))
if __name__ == '__m... | j127/python_tutorials | python_multiprocess/04_queue_multiprocessing.py | 04_queue_multiprocessing.py | py | 603 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "multiprocessing.Queue",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 20,
"usage_type": "call"
}
] |
73785665653 | import json
from dataclasses import dataclass
from typing import Optional
from .encoders import ModelEncoder
@dataclass
class Response:
status_code: int
event: Optional[object] = None
body: Optional[object] = None
message: Optional[str] = None
extra_headers: Optional[object] = None
disable_cor... | beverts312/lambda-utils | bails_lambda_utils/responses.py | responses.py | py | 1,990 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
24646192053 | from flask import Flask
from db import get_one_country, get_top_10
import json
app = Flask(__name__)
@app.route("/")
def hello_world():
top_10 = json.dumps(get_top_10())
return top_10
@app.route("/<id>")
def hello_world_one(id):
one_c = json.dumps(get_one_country(id_=id))
return one_c
if __name__ ==... | curiouscat22/flask-ex | api/main.py | main.py | py | 373 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "db.get_top_10",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 14,... |
74336879733 | from utils import io
from model.BaseEmbeddingModel import BaseEmbeddingModel
import torch
import os.path as osp
from torch_geometric.nn import Node2Vec
class Node2vecWrapper(BaseEmbeddingModel):
def __init__(self, config, data):
super().__init__(config, data)
self.device = self.config['devic... | xiransong/xGCN | model/Node2vecWrapper.py | Node2vecWrapper.py | py | 2,308 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "model.BaseEmbeddingModel.BaseEmbeddingModel",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "utils.io.load_pickle",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "utils.io",
"line_number": 21,
"usage_type": "name"
},
{
"api_name... |
32831969560 | # taken from OpenAI baselines.
import numpy as np
import gym
from gym.core import ObservationWrapper
from gym.spaces import Box
from scipy.misc import imresize
from gym.core import Wrapper
class MaxAndSkipEnv(gym.Wrapper):
def __init__(self, env, skip=4):
"""Return only every `skip`-th frame"""
g... | denklewer/yandex-rl-tasks | atari_wrappers.py | atari_wrappers.py | py | 7,838 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "gym.Wrapper",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "gym.Wrapper.__init__",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "gym.Wrapper",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
... |
21499508067 | from inspect import signature
from autograd import elementwise_grad
from autograd import numpy as np
from scipy.optimize import minimize
from scipy.special import gammaln
from surpyval.recurrence.parametric.parametric_recurrence import (
ParametricRecurrenceModel,
)
from surpyval.utils.recurrent_utils import hand... | derrynknife/SurPyval | surpyval/recurrence/parametric/nhpp.py | nhpp.py | py | 8,876 | python | en | code | 40 | github-code | 21 | [
{
"api_name": "inspect.signature",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "autograd.elementwise_grad",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "inspect.signature",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "autogra... |
44681440996 | import requests
import urllib.request
import re
import os
import getopt
import sys
from bs4 import BeautifulSoup
def download_sound(
searched_word, lang="english", limit=3, url="dictionary.cambridge.org"
):
"""Downloads sound files from the site
Args:
searched_word (str): The word you need to pro... | Aggosh/WordSoundDownloaderCambridgeDictionary | main.py | main.py | py | 3,091 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "urllib.request.request.build_opener",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "ur... |
69897924534 | import datetime
import uuid
import math
class gen8:
def __init__(self, form, data = None):
self.form = form
self.values = {}
if data:
self.load(data)
OPTION_FULLSCREEN = 1
OPTION_INTERPOLATE_PIXELS = 8
OPTION_SCALE = 16
OPTION_SHOW_CURSOR = 32
OPTION_SIZ... | FelixWolf/pygms | pygms/gen8.py | gen8.py | py | 6,486 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "datetime.datetime.utcfromtimestamp",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 82,
"usage_type": "attribute"
},
{
"api_name": "math.floor",
"line_number": 112,
"usage_type": "call"
},
{
"api_name": ... |
74120467571 | from flask import Blueprint, render_template,request,url_for,redirect,flash
from models.preference import Preference
import json
from main.util.fashion import *
from main.util.tech import *
from main.util.beauty import *
from main.util.lifestyle import *
from models.user_preference import User_Preference
from flask_log... | darrentey/pitch-project | main/blueprints/preferences/views.py | views.py | py | 4,191 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.redirect",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "flask.url_for",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "models.preference.Prefer... |
73593996854 | import asyncio
async def async_function():
await asyncio.sleep(2)
print("hello")
return "Async operation completed"
async def create_and_run_task():
task = asyncio.create_task(async_function())
return task
async def main():
task = await create_and_run_task()
print("2")
# Continue with... | Dev-wonderful/alx-backend-python | 0x01-python_async_function/test.py | test.py | py | 435 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "asyncio.sleep",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "asyncio.create_task",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "asyncio.sleep",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "asyncio.run",
"line... |
86413700889 | #!/usr/bin/env python3
import fileinput
# <!-- https://rosettacode.org/wiki/Chinese_remainder_theorem#Python
from functools import reduce
def chinese_remainder(n, a):
sum = 0
prod = reduce(lambda a, b: a*b, n)
for n_i, a_i in zip(n, a):
p = prod // n_i
sum += a_i * mul_inv(p, n_i) * p
... | jupblb/aoc-2020 | day13/solve2.py | solve2.py | py | 812 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "functools.reduce",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "fileinput.input",
"line_number": 32,
"usage_type": "call"
}
] |
7513170396 | import keyboard
from pygame import mixer
from voices.voices import talk
import threading as tr
import datetime
import time
# Alarma
if not hasattr(time, 'clock'):
time.clock = time.perf_counter
def clock(rec):
num = rec.replace('alarma', '')
num = num.strip()
talk("Alarma activada a las " + num + " h... | Arielmarinvaldes/Lucy_AI_v2.0 | system/funtion_sys.py | funtion_sys.py | py | 865 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "time.clock",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "time.perf_counter",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "voices.voices.talk",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
31257765516 | # coding:utf-8
import gettext
import json
import os
import requests
def post_message(process_name, state, info, machine_name):
webhook_url = os.environ["incomming_webhook_url"]
(process_name, state, info, machine_name) = map(
lambda s: s.encode("utf-8"), (process_name, state, info, machine_name))
... | miyaichi/uipath-job-status-listener-on-aws | handlers/slack.py | slack.py | py | 1,692 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 23,
"usage_type": "call"
}
] |
39532041249 | import os
import json
import time
import random
import tqdm
import shutil
import wandb
import functools
import collections
from typing import List
from dataclasses import dataclass
import numpy as np
from minEarley.parser import EarleyParser
from neural_lark.llm_interface import setup_llm
from neural_lark.train_uti... | berlino/grammar-prompting | neural_lark/main_mol.py | main_mol.py | py | 15,927 | python | en | code | 14 | github-code | 21 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "minEarley.parser.EarleyParser.open",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "minEarley.parser.EarleyParser",
"line_number": 50,
"usage_type": "name"
},
{... |
19067831368 | import pandas as pd
import torch.nn.functional as F
import torch
import os
import numpy as np
def prediction(index, test_loader, model, attributes, opts):
results = {}
attribute = attributes
for batch_idx, (img, image_id_batch) in enumerate(test_loader):
img = img.cuda()
with torch.no_grad(... | Bombomls21/conformer_ | utils/predict.py | predict.py | py | 1,017 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.no_grad",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.sigmoid",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.a... |
35371004165 | from flask import request
from new_api.db import database
from new_api.rights_control.models.ReadArticle import ReadArticle
class ReadHistoryArticle(ReadArticle):
def __init__(self):
super().__init__()
self.history_id = int(request.form['history_id']) if request.method == 'POST' else \
... | guateam/LabGuide | new_api/rights_control/models/ReadHistoryArticle.py | ReadHistoryArticle.py | py | 586 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "new_api.rights_control.models.ReadArticle.ReadArticle",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "flask.request.method",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 10,
"usage_type": "name"
... |
31670419407 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('pagetree', '0001_initial'),
('main', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='... | ccnmtl/teachrecovery | teachrecovery/main/migrations/0002_usermodule_hierarchy.py | 0002_usermodule_hierarchy.py | py | 488 | python | en | code | 0 | github-code | 21 | [
{
"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.AddField",
"line_number": 15,
"usage_type": "call"
},
{
... |
7298075306 | from scrapy.utils.project import get_project_settings
from scrapy.crawler import CrawlerProcess
import sys
setting = get_project_settings()
process = CrawlerProcess(setting)
IDD=sys.argv[1]
for spider_name in process.spiders.list():
print ("Running spider %s" % (spider_name))
process.crawl(spider_name... | snxcj0523/StockCrawler | RunSPDS.py | RunSPDS.py | py | 397 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scrapy.utils.project.get_project_settings",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "scrapy.crawler.CrawlerProcess",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
}
] |
26101221127 | import os
from argparse import ArgumentParser
class ArgParser:
def __init__(self):
self.parser = ArgumentParser(
prog='httpfs',
usage='httpfs [-v] [-p PORT] [-d PATH-TO-DIR]',
# add_help=False
)
# self.parser.add_argument(
# '-h',
#... | MatthewTeolis/comp-445 | assignment-2/http-server/src/httpserver/argparser/ArgParser.py | ArgParser.py | py | 1,431 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 39,
"usage_type": "call"
}
] |
13197987749 | import logging
from qkan.database.dbfunc import DBConnection
VERSION = "2.5.9"
logger = logging.getLogger("QKan.database.migrations")
def run(dbcon: DBConnection) -> bool:
# ValueMaps durch RelationMaps ersetzen, weil die entsprechende Funktion
# aus der QGIS-API in Python nicht gemappt ist, somit also in ... | hoettges/QKan | qkan/database/migrations/0011_abflusstypen.py | 0011_abflusstypen.py | py | 2,197 | python | de | code | 9 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "qkan.database.dbfunc.DBConnection",
"line_number": 10,
"usage_type": "name"
}
] |
12053411660 | """Image Library Functions"""
import os
__all__ = list(globals())
def imread(file):
import cv2
import numpy as np
return cv2.imdecode(np.fromfile(file, np.uint8), -1)
def imwrite(file, im):
import cv2
cv2.imencode('.jpg', im)[1].tofile(file)
def imshow(img, delay=50, title=''): # for test
... | znsoooo/lishixian | lishixian/np.py | np.py | py | 910 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "cv2.imdecode",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.fromfile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "cv2.imencode",
"line... |
15804933908 |
import os
import json
import random
import numpy
class ExperimentConfiguration:
def __init__(self, network_configuration, topology_configuration, firedex_configuration):
base_host = "10.0.0.%d"
host_index = 1
broker_host = (base_host % host_index)
host_index = host_index + 1
... | boulouk/firedex | firedex-static/experimental-framework/configuration/experiment_configuration.py | experiment_configuration.py | py | 8,012 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "random.sample",
"line_number": 180,
"usage_type": "call"
},
{
"api_name": "numpy.random.exponential",
"line_number": 184,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 184,
"usage_type": "attribute"
},
{
"api_name": "json.dump... |
73233702774 | import json
from django.http import HttpResponse
from django_swagger_utils.drf_server.utils.decorator.interface_decorator \
import validate_decorator
from .validator_class import ValidatorClass
from content_management_portal.storages.clean_solution_storage_implementation \
import CleanSolutionStorageImplementat... | bammidichandini/content_management_portal | content_management_portal/views/delete_coding_question_clean_solution/api_wrapper.py | api_wrapper.py | py | 1,426 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "content_management_portal.storages.question_storage_implementation.QuestionStorageImplementation",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "content_management_portal.storages.clean_solution_storage_implementation.CleanSolutionStorageImplementation",
"line_numb... |
4899518063 | import zmq
import threading
import signal
signal.signal(signal.SIGINT, signal.SIG_DFL);
def request():
try:
context = zmq.Context(1)
##### Request device
# Socket facing client
frontend_req = context.socket(zmq.SUB)
frontend_req.bind("tcp://*:5559")
fron... | AnEscapist/sdn-orchestrator | ucpe/zmq/test_pubsub_broker.py | test_pubsub_broker.py | py | 1,734 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "signal.signal",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "signal.SIGINT",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "signal.SIG_DFL",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "zmq.Context",
"... |
30488385073 | import speech_recognition as sr
import webbrowser
import datetime
import pyttsx3
import pyjokes
import time
import os
def speechToText():
recognizer = sr.Recognizer()
with sr.Microphone() as source:
print("listening...")
recognizer.adjust_for_ambient_noise(source)
audio = recognizer.lis... | Fakher-Zaman/Python-Projects | Voice_Assistant.py | Voice_Assistant.py | py | 2,227 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "speech_recognition.UnknownValueError",
"line_number": 20,
"usage_type": "attr... |
26442665339 | import os
import traceback
import inspect
import importlib
from data.constants import TEST_CARD_FILE, TEST_CARD_HEADER
from game.game import game_base
from .errors_screen import run as run_errors
from ui.scene.templates.loading import Loading
def step_test(t):
t.step_sim()
return t.get_sims() / 300
... | milkmull/Card-Game-Final | node/tester/tester.py | tester.py | py | 3,886 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "ui.scene.templates.loading.Loading",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "errors_screen.run",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "game.card.cards.get_playable_card_data",
"line_number": 45,
"usage_type": "call"
}... |
2638217981 | """
@Author: Wiktor Filipiuk <wiktor.filipiuk@gmail.com>
@ProblemName: Special Pythagorean triplet
-----------------------------------------------------------------------
@Description:
A Pythagorean triplet is a set of three natural numbers, a < b < c, for which,
a^2 + b^2 = c^2
For example, 3^2 + 4^2 = 9 + 16 = 25 = ... | wiktorfilipiuk/Algorithms_ProjectEuler | problem9.py | problem9.py | py | 949 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "functools.reduce",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "operator.mul",
"line_number": 34,
"usage_type": "argument"
}
] |
31298293056 | # Group: Emilio Brambilla, Lasse Haffke, Moritz Lahann
from skimage.segmentation import slic, mark_boundaries
from skimage.io import imread
import numpy as np
import matplotlib.pyplot as plt
def slic_visualize(image, n=100, c=10.0):
superpixels = slic(input_image, n_segments=n, compactness=c)
plt.imshow(ma... | ebrambilla42/cv1_assignements | CV1_5/cv_ex05_03/main.py | main.py | py | 4,217 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "skimage.segmentation.slic",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "... |
74383392691 | from io import BytesIO
from six import iteritems
import pycurl
class Request(object):
def __init__(self, save_to=None, **options):
self.save_to = save_to
self.options = options
self.curl = pycurl.Curl()
self.curl.setopt(pycurl.FOLLOWLOCATION, True)
self.content = BytesIO()
... | bendechrai/opening-doors-rpi | door-bell-sms/doorbell/lib/python3.6/site-packages/http_client/base.py | base.py | py | 2,327 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "pycurl.Curl",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pycurl.FOLLOWLOCATION",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "io.BytesIO",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "io.BytesIO",
"l... |
12164344402 | """
Simple custom emitter for DataDog agent to produce messages to Kafka.
Enable it by adding the following lines to datadog.conf and restarting
the agent:
kafka_hosts: kafka-hostname:9092
kafka_topic: datadog
custom_emitters: /path/to/KafkaEmitter.py
See the emitter documentation for additional optional settings.
Vers... | vanveele/kafka-emitter | KafkaEmitter.py | KafkaEmitter.py | py | 9,273 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.exc_info",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "sys.exc_info",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "kafka.errors.LeaderNotAvailableError",
"line_number": 117,
"usage_type": "name"
},
{
"api_name": "kafka... |
70650281654 | from hashlib import new
import sys
import os
from torch.optim import Adam, AdamW, RMSprop
from torch.nn import BCELoss
from torch import no_grad
from time import time
sys.path.append(os.path.join(os.getcwd()))
from DataProcessing.dataLoader import DataLoader
from model import Model
from util import save_and_log, lo... | Cabbagito/Extraterrestrial-Technosignature-Detection | ImageClassificationModel/training.py | training.py | py | 2,682 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
70118816372 | import tweepy
import json
from textblob import TextBlob
import time
import couchdb
import json
import pandas as pd
import sys
# LZT tweeter key
consumer_key = 'syvBAqd7spC9PbV622K3UNaB6'
consumer_secret = 'IPcGyK1Op8MH1etJeVlmxOnaNg6t5zYoifSr1bOb0lxI179n3z'
access_token = '1385155978996322307-63mBdQYfKG6KEOElbh3HiPmW... | Zce-Zy/Master-Comp90024 | couchDB/historyTweet_Catch/catch.py | catch.py | py | 3,739 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "tweepy.RateLimitError",
... |
43255692755 | import torch
from torch.utils.data import DataLoader
import numpy as np
class SHRED(torch.nn.Module):
'''SHRED model accepts input size (number of sensors), output size (dimension of high-dimensional spatio-temporal state, hidden_size, number of LSTM layers,
size of fully-connected layers, and dropout paramete... | nathankutz/DataDriven | SHRED/models.py | models.py | py | 5,607 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.LSTM",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Linear",
"line_... |
37033873222 | # -*- coding: utf-8 -*-
"""
Created on Mon Aug 9 09:51:59 2021
script for spatial analysis (Spatial Autocorrelation and Hotspot Analysis)
author : Daegun Kim
"""
#%% Import packages
import esda
import pandas as pd
import geopandas as gpd
from geopandas import GeoDataFrame
import libpysal as lps
import numpy as np
i... | gmkim716/Public-Big-Data_Hackathon-Project | ChildCare/Spatial_Analysis.py | Spatial_Analysis.py | py | 18,740 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "random.seed",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"lin... |
24340607881 | """
@file hough_lines.py
@brief This program demonstrates line finding with the Hough transform
"""
import sys
import math
import cv2 as cv
import numpy as np
def main():
default_file = 'e34ce0452108219af69b5afe90fa0982.jpg'
filename = "testLines.jpg"
# Loads an image
src = cv.imread(cv.... | mmsaeed509/Image-Processing | semester-1/Assignments/Assignment 3/delivery03/line.py | line.py | py | 969 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.samples.findFile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.samples",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE... |
73470099894 | import requests
from bs4 import BeautifulSoup
import re
URL = 'https://www.johnlewis.com/asus-chromebook-flip-c433ta-intel-core-m3-4gb-ram-64gb-emmc-14-inch-full-hd-silver/p4811855'
TAG_NAME = 'p'
QUERY = {'class': 'price price--large'}
response = requests.get(URL)
content = response.content
soup = BeautifulSoup(cont... | borgausifo/pricing-alert-app | app_2.py | app_2.py | py | 552 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 15,
"usage_type": "call"
}
] |
42370835911 | ############## Secondo transition model #######################
# Miglioramenti rispetto al primo:
### 1) ha un decoder dentro il transition model
### 2) la loss contiene la differenza dei codici z_prime e z_prime_hat, dove il primo è calcolato come l'encoder di x_prime mentre il secondo come delta([encoder(x), action... | Elena-Umili/RL-Planning | code/transition_model_torch_2.py | transition_model_torch_2.py | py | 7,628 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torch.device",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module"... |
13885263826 | #!/usr/bin/python
import sqlite3
import time
import datetime
from datetime import date, timedelta
import config
from Expense import Expense
class MonthView:
def __init__(self, date, period):
self.date = date
self.period = period
#date=time.strftime("%Y-%m-%d"
def TotalAmount(self):
... | agurk/OldExpenses | website/MonthView.py | MonthView.py | py | 2,840 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.date",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sqlite3.connect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "config.SQLITE_DB",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "datetime.date",
... |
37814898660 | from os.path import dirname, join
from bokeh.io import curdoc
from bokeh.layouts import column, layout
from bokeh.models import ColumnDataSource, Div, Select, Slider, TextInput,Button,CustomJS,TableColumn,DataTable,HTMLTemplateFormatter
from bokeh.plotting import figure
from bokeh.models.widgets import AutocompleteInpu... | giacomomarchioro/bokeharchivio | main.py | main.py | py | 9,749 | python | it | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bokeh.models.Div",
"... |
2308192470 | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 20 16:16:03 2016
@author: marta
"""
import argparse
import numpy as np
parser = argparse.ArgumentParser(description="Chromosome parser")
parser.add_argument('-i', '--input_file',
dest = "input",
action = "store",
... | isglobal-brge/Supplementary-Material | Ruiz-Arenas_2020/FASTEPPR_parser.py | FASTEPPR_parser.py | py | 1,614 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.savetxt",
"line_number": 70,
"usage_type": "call"
}
] |
26561060481 | import numpy as np
import scipy.optimize
class GausFit:
def __init__(self, BASELINE_SUBTRACT=False):
"""
This code will fit a timeseries with a single Gaussian
for now, and may be extended to multiple Gaussians
later on.
"""
self.BASELINE_SUBTRACT = BASELINE_SUBTRAC... | mshumko/ac6_microburst_scale_sizes | stats/old/gaus_fit.py | gaus_fit.py | py | 2,104 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.max",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.optimize.curve_fit",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.optimize",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name... |
34007865491 | #!/usr/bin/python
#coding: utf-8
from __future__ import print_function
from __future__ import division
import sys
import csv
from math import log10
from collections import defaultdict
words = [] # words list
last_word_docid_pair = None # for wordcount calculation
df_t_dict = defaultdict(lambda: set()... | rdetain/dauphine-tfidf_computing | tfidf_reducer.py | tfidf_reducer.py | py | 2,625 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "math.log10",
"line_number": 58,
"usage_type": "call"
}
] |
26807808801 | __all__ = ['UnionFind', 'PriorityQueue']
class UnionFind:
"""Union-find data structure.
Each unionFind instance X maintains a family of disjoint sets of
hashable objects, supporting the following two methods:
- X[item] returns a name for the set containing the given item.
Each set is named by ... | OpenWeavers/openanalysis | openanalysis/base_data_structures.py | base_data_structures.py | py | 4,325 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "itertools.count",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 106,
"usage_type": "call"
},
{
"api_name": "heapq.heapify",
"li... |
28299187667 | from flask import Flask
from flask_restful import Resource, Api
app = Flask(__name__)
app.secret_key = 'thisisjustarandomstring'
api = Api(app)
class GCD(Resource):
def get(self, n1, n2):
n1 = float(n1)
n2 = float(n2)
if(n2 == 0):
return n1
else:
return {'ans': GC... | sahityasagiraju/Cloud-Computing-Hackathon | gcd/app/app.py | app.py | py | 489 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_restful.Resource",
"line_number": 8,
"usage_type": "name"
}
] |
16815634164 | import arcade
class GUICard(arcade.Sprite):
""" Card sprite """
def __init__(self, suit, value, scale=1):
""" Card constructor """
# Attributes for suit and value
self.suit = suit
self.value = value
# Image to use for the sprite when face up
self.image_file_na... | Horus26/BlackJackPython | Blackjack/GUICard.py | GUICard.py | py | 490 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "arcade.Sprite",
"line_number": 3,
"usage_type": "attribute"
}
] |
18288075777 | import json, os, sys
from config import Config
import pytest
DEFAULT = os.path.expanduser('~') + '/.config/TerminusBrowser/config.json'
test_list = [
('', DEFAULT),
('/tmp/', DEFAULT),
('/tmp/cfg.json', '/tmp/cfg.json')
]
@pytest.mark.parametrize("test_input, expected", test_list)
def test_location(test... | wtheisen/TerminusBrowser | tests/test_config.py | test_config.py | py | 390 | python | en | code | 121 | github-code | 21 | [
{
"api_name": "os.path.expanduser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "config.Config",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",... |
34202548687 | from typing import List
from PyQt5.QtWidgets import QDialog, QLabel, QLayout, QLineEdit, QMainWindow, QPushButton, QSizePolicy, QVBoxLayout, QWidget
from PyQt5.QtCore import Qt, Signal
from . import Notification
from .widgets import CustomDoubleValidator, DropdownList
class RotateSimpleDialog(QDialog):
# ... | miguel-martinr/Pycture | src/pycture/dialogs/rotate_simple_dialog.py | rotate_simple_dialog.py | py | 2,136 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.Signal",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 13,
"usage_type": "name"
},
{
"api_name":... |
7975651246 | # coding=utf-8
import sys
sys.path.append("d:\\Test\\pythonProject\\new\\logger")
import os.path
from configparser import ConfigParser
from selenium import webdriver
import logger
class BrowserEngine():
dir = os.path.dirname(os.path.abspath('.'))
chrome_driver_path = dir + '/tools/chromedriver.exe'
ie_... | jerrychen28/Demo_Test | BrowserEngine/browser_engine.py | browser_engine.py | py | 1,756 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"... |
4036506709 | import http.client
import http.server
import json
class testHTTPRequestHandler(http.server.BaseHTTPRequestHandler):
OPENFDA_API_URL='api.fda.gov'
OPENFDA_API_EVENT="/drug/event.json"
def get_events(self, limit):
conn= http.client.HTTPSConnection(self.OPENFDA_API_URL) #conexion
conn.request... | Noemiglois/openfda | web.py | web.py | py | 8,260 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "http.client.server",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "http.client",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "http.client.client.HTTPSConnection",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "h... |
1628453766 | from PyQt5 import uic
from PyQt5.QtCore import *
from foodClasses import *
from food_item_library.foodLibrary import *
from custom_table_items import *
class EditRecipePopup(QWidget):
#==========================
# Custom signals
#==========================
updated_recipe = pyqtSignal(dict)
#=======================... | slevasse/foodinator | editRecipePopup.py | editRecipePopup.py | py | 10,110 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyQt5.uic.loadUi",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PyQt5.uic",
"line_number": 18,
"usage_type": "name"
}
] |
24400175237 | import numpy as np
from scipy.sparse import csr_matrix
from sklearn.metrics.pairwise import cosine_similarity
import pickle
from sklearn.decomposition import TruncatedSVD
class LSA:
def createQuery(userTerms, terms):
query = [0] * len(terms)
for x in userTerms:
i = 0
for y in... | GiuseppeNappo/MagicPotBackend | app/lsa.py | lsa.py | py | 2,058 | python | it | code | 0 | github-code | 21 | [
{
"api_name": "pickle.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.pairwise.cosine_similarity",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "sci... |
10682280912 | #!/usr/bin/env python
"""NDG Attribute Authority SAML SOAP Binding client unit tests
NERC DataGrid Project
"""
__author__ = "P J Kershaw"
__date__ = "15/02/10 (moved from test_attributeauthorityclient)"
__copyright__ = "(C) 2010 Science and Technology Facilities Council"
__license__ = "BSD - see LICENSE file in top-le... | cedadev/ndg_security_common | ndg/security/common/test/unit/attributeauthorityclient/test_samlattributeauthorityclient.py | test_samlattributeauthorityclient.py | py | 13,530 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "ndg.security.common.config.importElementTree",
"line_number": 22,
"usage_type": "call"
},
{
... |
14173322563 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 4 09:18:53 2022
@author: miguel
"""
#Loading the required modules
import numpy as np
import matplotlib.pyplot as plt
import statistics
import math
import time
class Kmeans:
def _get_distance(self, centroides, atributos):
distancias... | miligon/red_de_base_radial | kmeans.py | kmeans.py | py | 3,936 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.tile",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 30,
... |
10224991589 | # ble_json_read와 zigbee_json_read에서 만들어진 list들을 db에 로깅하는 모듈
import os,sys,json
import pymysql
from app.module.Zigbee import zigbee
from app.module.BLE import bluetooth as ble
p_file = './exported_json/zigbee'
h_file = './exported_json/hub'
b_file = './exported_json/ble'
DBINFO_JSON = './app/module/DB/dbinfo.json'
js... | germonado/Graduation-Project | app/module/DB/DBlogging.py | DBlogging.py | py | 4,642 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
... |
18719070266 | import copy
import pymysql
import time
from twisted.enterprise import adbapi
from .items import MatchItem
from .items import ImmMatchItem
from .comm.MsDebug import MsLog
class MsspiderPipeline(object):
def __init__(self, db_pool):
self.db_pool = db_pool
# self.db_pool.cursor.execute('set autocommi... | mansoy/MsSpider | MsSpider/TestPiplelines.py | TestPiplelines.py | py | 6,697 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "time.time",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "twisted.enterprise.adbapi.ConnectionPool",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "twisted.enterprise.adbapi",
"line_number": 32,
"usage_type": "name"
},
{
"api_... |
7505961191 | from django.urls import path
from todofeature.views import todo_list_view, todo_add_view
app_name = "todofeature"
urlpatterns = [
path("",todo_list_view, name="todo_list"),
path("todo-add/", todo_add_view, name="todo_add"),
] | milashjung/python_class | src/todofeature/urls.py | urls.py | py | 237 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "todofeature.views.todo_list_view",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "t... |
37201043445 | import inspect
import os
import os.path as osp
import json
import time
from datetime import datetime
import torch
from torch.utils.tensorboard import SummaryWriter
import print_custom as db
class G:
output_dir = None
output_file = None
policy_file = None
def save_hyperparams(output_dir, params):
with... | rhklite/PPO_Pytorch | logger.py | logger.py | py | 1,418 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_num... |
14890823570 | import yfinance as yf
def price(ticker, period='1d',columns=['Close']):
'''
Returns a DataFrame of prices for ticker from Yahoo Finance API
'''
obj = yf.Ticker(ticker)
return obj.history(period=period)[columns]
def prices(tickers, period='1h',columns=['Close']):
'''
Returns a DataFrame of... | markgolez/forexCrypto_technical_analysis | yahoo_finance.py | yahoo_finance.py | py | 682 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "yfinance.Ticker",
"line_number": 7,
"usage_type": "call"
}
] |
20661018921 | ##############################################################################
"""
THIS IS A STAND-ALONE MODULE
IT IS NOT INTENDED TO BE IMPORTED
"""
##########################################... | AdamantLife/alcustoms | alcustoms/Programs/SymLinkUtility.py | SymLinkUtility.py | py | 5,732 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.sqrt",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk.Frame",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "tkinter.ttk",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "tkinter.ttk.Label",
... |
19402179537 | import dataclasses
import functools
import re
import requests
from lxml import html
from records.GameInfo import GameInfo, ItchGamePageInfo
from decorators import aggregator
from scrapers.GamePageScraper import GamePageScraper
from scrapers.Scraper import Scraper
@dataclasses.dataclass(frozen=True)
class BundleEntr... | joseph-e-k/itchio-utils | scrapers/BundleEntryScraper.py | BundleEntryScraper.py | py | 2,116 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scrapers.Scraper.Scraper",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "lxml.html.HtmlElement",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "lxml.html",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "records... |
41434331235 | from django.urls import path
from . import views
urlpatterns = [
path('new', views.new, name='new_gateway'),
path('delate', views.delate, name='删除网关'),
path('getAll', views.get_all),
path('mqtt_config', views.mqtt_config),
path('createTopic', views.create_topic),
path('getAllTopic', views.get_... | dragonxu/IoT_device_client | backend/gateway/urls.py | urls.py | py | 420 | python | en | code | 1 | 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": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
25114741633 | from django.contrib.auth.models import AbstractUser
from django.db import models
from .validators import username_regex_validator
class User(AbstractUser):
username = models.CharField(
verbose_name='Юзернэйм',
max_length=150,
validators=[username_regex_validator],
unique=True,
... | grmzk/foodgram-project-react | backend/users/models.py | models.py | py | 1,771 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.contrib.auth.models.AbstractUser",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"... |
40852032319 | import streamlit as st
# TODO: rename and refactor everything
def select_num_interval(
param_name: str, limits_list: list, defaults, n_for_hash, **kwargs
):
st.sidebar.subheader(param_name)
min_max_interval = st.sidebar.slider(
"",
limits_list[0],
limits_list[1],
defaults,... | IliaLarchenko/albumentations-demo | src/control.py | control.py | py | 2,762 | python | en | code | 101 | github-code | 21 | [
{
"api_name": "streamlit.sidebar.subheader",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "streamlit.sidebar.slider",
"line_number": 10,
"usage_type": "call"
},
{
"api_nam... |
30476922898 | import cx_Oracle
import PySimpleGUI as sg
con = cx_Oracle.connect('EOM/EOM@127.0.0.1/xe')
cur = con.cursor(scrollable=True)
cur.execute("SELECT FIRST_NAME FROM EOM_STUDENTS")
names_fetch = cur.fetchall()
new_names = [n[0] for n in names_fetch]
print(new_names)
layout = [[sg.Text('Listbox with search')],
... | sidbmw/GRADESK | Python/Dropdown Menu Example.py | Dropdown Menu Example.py | py | 1,083 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "cx_Oracle.connect",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Text",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Input",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Listb... |
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