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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
31189135547 | #
# @lc app=leetcode.cn id=1046 lang=python3
#
# [1046] 最后一块石头的重量
#
# @lc code=start
from heapq import heappop
from typing import List
class Solution:
def lastStoneWeight(self, stones: List[int]) -> int:
n = len(stones)
import heapq
hp = [ -i for i in stones]
heapq.heapify(hp)
... | Interesting6/FuckLeetCode | 1046.最后一块石头的重量.py | 1046.最后一块石头的重量.py | py | 879 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "heapq.heapify",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_num... |
20028970967 | import os
from flask import current_app
class Healthcheck(object):
def __init__(self, app):
self.flask_app = app
self.flask_app.add_url_rule("/healthcheck", view_func=self.healthcheck_view)
self.checkers = []
def healthcheck_view(self):
responseCode = 200
response = {... | communitiesuk/funding-service-design-utils | fsd_utils/healthchecks/healthcheck.py | healthcheck.py | py | 1,155 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.getenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.current_app.logger.debug",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "flask.current_app.logger",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name":... |
71018860532 | from ..utils import debug as dbg
from ..utils import coloration as clr
from ..utils.getch import getch
import os
import sys
YES = {"yes", "ye", "y", "yeah", "yay"}
NO = {"no", "n", "nooo", "noo"}
YES_NO_ANSWERS = {
1: "\t\tPlease answer {wrn}{bold} YES {ec} or {wrn}{bold} NO {ec} :",
5: "Fuck off."
}
def ye... | erik-helmers/grader-cli | taskgrader/utils/niceAsk.py | niceAsk.py | py | 1,500 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "utils.coloration.colorize",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "utils.coloration",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "sys.stdout.flush",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sys.stdou... |
30688494171 | #https://adventofcode.com/2022/day/14
#from __future__ import annotations
from typing import Iterator, NamedTuple
import itertools_recipes as ir
from functools import total_ordering, cached_property
from collections import UserList
import ast
from ast import literal_eval
import enum
from aoc_recipes import P... | copperfield42/Advent-of-Code-2022 | day14/day14.py | day14.py | py | 4,370 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "aoc_recipes.Point",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "aoc_recipes.Point",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "typing.Iterator",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "aoc_recipes.Point... |
6504388030 | from fastai.text import *
from pathlib import Path
import pandas as pd
from .ulmfit import ULMFiT_SP
from ...pipeline_logger import pipeline_logger
import torch
from enum import Enum
class TableType(Enum):
SOTA = 0
ABLATION = 1
IRRELEVANT = 2
def multipreds2preds(preds, threshold=0.5):
bs = preds.sh... | paperswithcode/axcell | axcell/models/structure/type_predictor.py | type_predictor.py | py | 1,752 | python | en | code | 365 | github-code | 21 | [
{
"api_name": "enum.Enum",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.cat",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "ulmfit.ULMFiT_SP",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "pipeline_logger.pipeline_logger"... |
8712442424 | import configparser
from wpilib.command.subsystem import Subsystem
from wpilib.encoder import Encoder
from wpilib.robotdrive import RobotDrive
from wpilib.victorsp import VictorSP
from wpilib.adxrs450_gyro import ADXRS450_Gyro
from wpilib.smartdashboard import SmartDashboard
from commands.tank_drive import TankDrive
... | TechnoJays/robot2017 | src/subsystems/drivetrain.py | drivetrain.py | py | 9,160 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "wpilib.command.subsystem.Subsystem",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "commands.tank_drive.TankDrive",
"line_number": 70,
"usage_type": "call"
},... |
40986911693 | from __future__ import print_function
from __future__ import division
import sys
import re
import csv
import os
import numpy as np
from tqdm import tqdm
import operator
import subprocess
import shutil
#TOTAL_VID = 2935479
#TOTAL_IMG = 10837498
IMAGE_EXT = ['png', 'jpg']
CACHE_DIR = './dataset/image_cache/'
IMAGE_TEMP... | wcarvalho/ViralityPredictionModel | 2_2_image_content/image_downloader.py | image_downloader.py | py | 1,542 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "csv.reader",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
72944610612 | #!/usr/bin/env python3.8
import sys
import argparse
from typing import List
FILE_MAX_BRIGHTNESS = '/sys/class/backlight/intel_backlight/max_brightness'
FILE_BRIGHTNESS = '/sys/class/backlight/intel_backlight/brightness'
def read_file(path: str) -> List[str]:
with open(path, 'r') as fd:
return fd.readlin... | bpingris/bblight | brightness.py | brightness.py | py | 2,665 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 70,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"l... |
34803871290 | import argparse
import csv
import pymongo
import config
SAMPLE_ID_HEADER = 'SampleID'
GENE_ID_HEADER = 'Gene ID'
GENE_SYMBOL_HEADER = 'Gene Symbol'
GENE_NAME_HEADER = 'Gene Name'
STRAND_HEADER = 'Strand'
CHR_HEADER = 'Chr'
START_POS_HEADER = 'Start'
END_POS_HEADER = 'End'
def get_db():
client = pymongo.MongoCli... | churchill-lab/factorial-experiment-viewer | src/importdesnp.py | importdesnp.py | py | 3,095 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "config.MONGO_SERVER",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "config.MONGO_PORT",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "c... |
15781536292 | import networkx as nx
import sys
sys.setrecursionlimit(10000)
## Parsing
files = ['input.txt', 'testInput.txt']
with open(files[0], 'r') as f:
lines = [a.strip() for a in f.readlines()]
w,h = len(lines[0]), len(lines)
def getNbs(x,y):
for dx,dy in [(1,0),(-1,0),(0,1),(0,-1)]:
newX,newY = x+dx, y+dy... | nabihestefan/AdventOfCode | Python/2016/day24/day24.py | day24.py | py | 1,711 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "networkx.Graph",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "networkx.shortest_path_length",
"line_number": 50,
"usage_type": "call"
}
] |
70638427253 | """Day 3"""
from typing import List, Tuple
def process(filename) -> int:
with open(filename) as infile:
lines = infile.readlines()
gamma_str, episolon_str = find_count(lines)
gamma = int(f"0b{gamma_str}" , 2)
epsilon = int(f"0b{episolon_str}" , 2)
ox_rating = int(f"0b{find_prefix(lines, ... | tebriel/aoc2021 | day03/main.py | main.py | py | 1,756 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 41,
"usage_type": "name"
}
] |
41000899610 | """ Plot supllementary functions and classes. """
from ast import literal_eval
from colorsys import rgb_to_hls, hls_to_rgb
from numbers import Number
import operator
import matplotlib.pyplot as plt
import numpy as np
try:
from matplotlib.collections import PatchCollection
from matplotlib.colors import ColorCo... | analysiscenter/batchflow | batchflow/plotter/utils.py | utils.py | py | 10,760 | python | en | code | 194 | github-code | 21 | [
{
"api_name": "matplotlib.legend_handler.HandlerBase",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "matplotlib.patches.Rectangle",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "matplotlib.collections.PatchCollection",
"line_number": 82,
"usage_typ... |
16300472430 | import os
import gc
import time
import pandas as pd
import numpy as np
import soundfile as sf
import scipy.signal as signal
import sklearn
import IPython.display as ipd
import keras
import keras.backend as K
import tensorflow as tf
import math
import matplotlib.pyplot as plt
import librosa
import librosa... | MikeCamp1998/Machine-Learning | Language_Detection/utils.py | utils.py | py | 7,133 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "librosa.load",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "librosa.stft",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "librosa.magphase",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "librosa.feature.melspectro... |
4686623393 | import numpy as np
import matplotlib.pyplot as plt
# Python program to print all
# prime number in an interval
import matplotlib as mpl
a = 1.0
v0 = 0.0
t, h, n = 0.0, 0.1, 20
ta, xa = [], []
for i in range(n):
x = v0*t + a*t*t / 2.0
ta.append(t)
xa.append(x)
t = t + h
plt.figure(figsize=(4, 4))
plt.p... | stompkins7192/PHY494 | 02_python/math.py | math.py | py | 449 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "mat... |
15706297163 | # Imports here
import matplotlib.pyplot as plt
import argparse
import torch
import numpy as np
from torch import nn, optim
import torch.nn.functional as F
from torchvision import datasets, transforms, models
from train import build_classifier, build_model
def get_input_args():
"""
5 command line arguments... | jeffrisandy/image_classifier | test/predict.py | predict.py | py | 5,363 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "numpy.ceil",
"li... |
12578644927 | """""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
Author: Khairil Ariffin Bin Yahya
School: Technical University of Munich
Course: Earth Space Orientated Science and Technology
Date: 20.06.2023
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
import os
import torch
import datetime
import ... | KhairilAriffinYahya/Khairil_TUM-Facade_Semantic_Segmentation | localfunctions.py | localfunctions.py | py | 23,689 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"l... |
39984781780 | #coding:utf-8
import random
import os
import cv2
import numpy as np
def get_neck(point1, point2):
if point1 and point2:
x = (point1[0] + point2[0]) // 2
y = (point1[1] + point2[1]) // 2
return [x, y]
else:
return None
# 将coco关键点顺序转为cpm对应顺序，并增加neck点
def coco2c... | JayMarx/CPM | utils/process_data.py | process_data.py | py | 3,304 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "cv2.resize",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_LINEAR",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "numpy.pad",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line... |
5248854911 | #!/usr/bin/env python
# coding: utf-8
# # README
# 2020.08.29 version of this code
# This is an ensemble model for training on data comprised of electronic radiologist notes to predict the presence of metastatic cancers. Model written in Python 3.
#
# **NOTE: the model presented here was created, trained, tested, a... | karenbatch19/Splenomegaly-Detection | splenomegaly_detection.py | splenomegaly_detection.py | py | 17,069 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.metrics.accuracy_score",
"line_number": 179,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.precision_score",
"line_number": 184,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.recall_score",
"line_number": 190,
"usage_type": "call"
... |
4088517943 | #!/usr/bin/env python
# coding: utf-8
# # Project: Housing Evictions and Fair Market Rents in New York City</h1> <a id=7></a>
# ## Mapping Tests for Eviction and FMR data</h3>
#
# ##Page Summary:
# This page is meant to draft the mapping of both evictions and FMR datasets.
# ## Data:
#
# For this project, we are u... | amelia-ingram/eviction-rent | Test/Eviction_Rent_Project_Test.Mapping.py | Eviction_Rent_Project_Test.Mapping.py | py | 11,744 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 104,
"usage_type": "call"
},
{
"api_name": "json.load",
... |
23302023177 | """
make the other directions from the up direction
"""
import os
from PIL import Image
def spike_split(name):
parts = name.split('_')
front = '_'.join(parts[:-1])
direction = parts[-1].split('.')[0]
if direction[:2] != 'up':
raise ValueError('nah')
idx = direction[2:]
di... | wlaub/waldmo | Graphics/Atlases/Gameplay/danger/spikes/waldmo/main.py | main.py | py | 866 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.listdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 27,
"usage_type": "name"
}
] |
2353255350 | from typing import TypeVar, Union
import os
from dotenv import load_dotenv
def init_environment():
base_dir = os.path.abspath(os.path.dirname(__file__))
env_file = os.path.join(base_dir, '.env')
load_dotenv(env_file)
T = TypeVar('T', str, int)
def getenv(key: str, default: T) -> T:
value = os.gete... | CubingZA/CubingZA-Website | etl/config.py | config.py | py | 721 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
24060799540 | # -----------------------------------------
# Model Solution: DFS
#
# Time Complexity: O(n)
# Space Complexity: O(n)
# -----------------------------------------
# n := len(prevRoom)
# Ref:
# a) https://leetcode.com/problems/count-ways-to-build-rooms-in-an-ant-colony/discuss/1299618/Python3.-Short-dfs.
# b) https://lee... | DaMinaup6/algorithm-exercises | leetcode/hard/1916_count_ways_to_build_rooms_in_an_ant_colony.py | 1916_count_ways_to_build_rooms_in_an_ant_colony.py | py | 1,315 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "math.comb",
"line_number": 29,
"usage_type": "call"
}
] |
770954306 | # -*- coding: utf-8 -*-
# @Time: 2021/3/10 16:32
# @Author: qiao
# @Email: rukunqiao@outlook.com
# @File: submodules.py
# @Software: PyCharm
# @Description:
# None
# - Package Imports - #
import torch
import torch.nn as nn
import torch.nn.functional as F
# - Coding Part - #
class FlowHead(nn.Mod... | CodePointer/TIDENet | tide/submodules.py | submodules.py | py | 15,229 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
73033283573 | from datetime import datetime
import json
from tornado import gen
from tornado.log import app_log
from tornado.httpclient import HTTPRequest, AsyncHTTPClient
from sqlalchemy.types import TypeDecorator, TEXT
from sqlalchemy import (
inspect,
Column, Integer, ForeignKey, Unicode, Boolean,
DateTime,
)
from s... | LiuFang816/SALSTM_py_data | python/jupyterhub_jupyterhub/jupyterhub-master/jupyterhub/orm.py | orm.py | py | 20,590 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "sqlalchemy.types.TypeDecorator",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.types.TEXT",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "json.... |
13998233067 | from builtins import range
import os
import re
import sys
import copy
import datetime
my_list_type = None
try:
# This is for python 2
from types import ListType
my_list_type = ListType
except ImportError:
# This is for python 3
my_list_type = list
ASCII_TIMESTAMP_FORMAT = '%Y-%m-%dT%H:%M:%S.%fZ' ... | nasa/RtRetrievalFramework | lib/Python/text_util.py | text_util.py | py | 5,873 | python | en | code | 43 | github-code | 21 | [
{
"api_name": "types.ListType",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "builtins.range",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.curdir",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"li... |
32484822374 | from builtins import property
from datetime import datetime, date
class Person:
def __init__(self, fname, lname, birthdate: str, adress, telephone, email):
self.fname = fname
self.lname = lname
self.birthdate = birthdate
self.adress = adress
self.telephone = telephone
... | Rahelsc/pythonPC | 2ndAssignment2/person.py | person.py | py | 1,686 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.date.today",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "builtins.property",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "builtins.property... |
12691982603 | import time
import pygame , sys
from pygame.locals import *
import random
pygame.init()
pygame.display.set_caption('SnakeXenzia')
dis_width = 600
dis_height = 500
screen = pygame.display.set_mode((dis_width,dis_height))
icon = pygame.image.load('icon.png')
pygame.display.set_icon(icon)
img = py... | rkumar2667/SnakeGame | Snake/game.py | game.py | py | 7,289 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_caption",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.displa... |
25807222775 | import threading
import unittest
from slixmpp.test import SlixTest
class TestStreamSet(SlixTest):
def tearDown(self):
self.stream_close()
def testHandleSoftwareVersionRequest(self):
self.stream_start(mode='client', plugins=['xep_0030', 'xep_0092'])
self.xmpp['xep_0092'].name = 'Sli... | poezio/slixmpp | tests/test_stream_xep_0092.py | test_stream_xep_0092.py | py | 1,906 | python | en | code | 108 | github-code | 21 | [
{
"api_name": "slixmpp.test.SlixTest",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "unittest.TestLoader",
"line_number": 68,
"usage_type": "call"
}
] |
25201668986 | from tkinter import *
#import mongo
import backend
import pymongo
from pymongo import MongoClient
c = MongoClient()
db=c["mydatabase"]
article = db.articles
def view_command():
#list1.delete(0,END)
for row in backend.view():
list1.insert(END,row)
"""
def search_command():
list1.del... | savs33/Positive-News-Sentiment-Analysis-from-Scrapped-Newspaper-Data- | frontend.py | frontend.py | py | 1,040 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "backend.view",
"line_number": 13,
"usage_type": "call"
}
] |
39199067757 | """
This module provides a SKYNewsSummarizer class for scraping and summarizing news articles from a specified website.
Author: Lalith Sagar, Devagudi
Date: July 23, 2023
"""
import requests
from bs4 import BeautifulSoup
from urllib.parse import urljoin
from datetime import datetime, timedelta, timezone
from summariz... | Lalith-Sagar-Devagudi/NEWS-summarization-using-LLMs | SKYNewsSummarizer.py | SKYNewsSummarizer.py | py | 4,554 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urljoin",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "requests.get",
... |
15235945287 | import sys
import torch
sys.path.append('./gans')
from helper_functions import create_noise
def generator_loss(gen, disc, criterion, num_images, z_dim, device):
"""
Calculate the generator loss
Argss:
gen: the Generator_NGAN class instance
generator model
disc: the Disc... | caron14/GANs | gans/loss_func_gans.py | loss_func_gans.py | py | 2,521 | 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": "helper_functions.create_noise",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torch.ones_... |
11126380995 | import numpy as np
import cv2
avgHeight = 0
def get_symbols(thresh, im=None, draw_contours=False):
thresh, cnts, _ = cv2.findContours(
thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
if len(cnts) > 0:
cnts, _ = sort_contours(cnts)
avgCntArea = np.mean([cv2.contourArea(k) for k... | mhtocs/quickmaths_git | quickmaths/utils/component.py | component.py | py | 11,778 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "cv2.findContours",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.RETR_EXTERNAL",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "cv2.CHAIN_APPROX_SIMPLE",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "n... |
43801942895 | import sys
import time # for a random seed
import numpy as np
from sklearn import datasets
from sklearn import tree
from hcClassifier import HcClassifier
from knnClassifier import KnnClassifier
from dtClassifier import DTreeClassifier
from sklearn.neighbors import KNeighborsClassifier
from mlp import MLP
def main(ar... | justinrixx/Classifiers | main.py | main.py | py | 3,065 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "time.time",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "numpy.genfromtx... |
33338910737 | ########################################
#### Licensed under the MIT license ####
########################################
import torch
import torch.nn as nn
import torch.nn.functional as F
from numpy import prod
import capsules as caps
from capsules import squash
class ResCapsBlock(nn.Module):
def __init__(self... | moejoe95/MoCapsNet | model.py | model.py | py | 3,357 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
23035201993 | #! /usr/bin/env python
# Python native libs
import math
import numpy as np
import matplotlib.pyplot as plt
from scipy import fft
# Project libs
from common.signal_utils import fft_and_normalize_and_to_dB
from common.impulse_responses import ideal_multiband_truncated
from common.amplitude_function import get_amplitude... | LucasJSch/signal_processing_1 | python/guia3/ex_12.py | ex_12.py | py | 933 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.pi",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "numpy.hamming",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "common.impulse_responses.ideal_multiband_truncated",
"line_number": 25,
"usage_type": "call"
},
{
"api_name... |
24912614945 | from multiprocessing import Process, Queue
import logging
import logging.handlers
class LogListener(Process):
"""Listener class that handles logging info for the worker processes"""
def __init__(self, listen_queue: Queue, logfile_name: str):
super().__init__(daemon=True)
self.listen_queue = l... | illinois-or-research-analytics/spring_2022_research | franklin/bu_et_al_2021/deprecated_version/clustered_bdid/log_listener.py | log_listener.py | py | 929 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "multiprocessing.Process",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "multiprocessing.Queue",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging... |
22495171039 | from socket import *
import datetime
PORT_NUMBER = 12000
IP_ADDRESS = "10.106.109.57"
TIMEOUT = 1
PACKETS_TO_TRANSMIT = 10
client_socket = socket(AF_INET, SOCK_DGRAM)
client_socket.settimeout(TIMEOUT)
print("\nTransmitting Packets\n")
for seq_num in range(1, PACKETS_TO_TRANSMIT + 1):
try:
send_time = da... | life8899/Computer_Science | 320/Homework/UDP Socket Programming/UDPPinger.py | UDPPinger.py | py | 947 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "da... |
43797442439 | import os
import sys
import random
from bottle import debug, default_app, post, request, route, run
from configparser import ConfigParser
from typing import DefaultDict, Any
from pprint import pprint
from app import api
from src.board import Board
from src.brain import Brain
config = ConfigParser()
config.read('confi... | mattcasiro/python-snake | app/main.py | main.py | py | 1,424 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "app.api.ping_response",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "app.api",
... |
21834803117 | from flask import Flask
from tools import base64_to_numpy
from flask import request
from ia.model_loader import Model
import services.stats as statsService
import services.db as dbService
import json
from config import config
app = Flask(__name__, instance_relative_config=True)
@app.route('/statistics', methods=... | Jardins-Angevins/JA-Back | main.py | main.py | py | 4,180 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "services.db.getPictureCount",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "services.db",
... |
37441168893 | #! /usr/bin/env python3
import sys
import os
import argparse
import json
import re
import logging
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.functional as F
import numpy as np
import random
from collections import OrderedDict
from options_parser import Options_Parser
from ... | jkchen79/netvlad-in-speech | src/lre07_main.py | lre07_main.py | py | 7,776 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "os.path.exists",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
5744199499 | from django.urls import path
from . import views
app_name = 'home'
urlpatterns=[
path('about/', views.about, name='about'),
path('how_to/', views.how_to, name='how_to'),
path('contact/', views.contact, name='contact'),
path('support/', views.support, name='support'),
path('registration/', views.r... | Ijerry-cloud/recreating-values | home/urls.py | urls.py | py | 403 | python | en | code | 0 | 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"
},
{
"api_name": "django.urls.path",
... |
5146301265 | from django.conf.urls import patterns, url
from material import views
urlpatterns = patterns('',
url(r'^inventory/$', views.InventoryListView.as_view(), name='list'),
url(r'^inventory/(?P<pk>\d+)/$', views.InventoryDetailView.as_view(), name='detail'),
url(r'^$', views.MaterialListView.as_view(), name='list'),
u... | ericgarig/Pizzo | material/urls.py | urls.py | py | 395 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "material.views.InventoryListView.as_view",
"line_number": 6,
"usage_type": "call"
},
{
... |
7615675449 | import json
import boto3
import time
step = boto3.client('stepfunctions')
def lambda_handler(event, context):
main_message=json.loads(event['Records'][0]['body'])
print("Main Message Part : {}".format(main_message))
step_function_input=main_message['input']
task_token=main_message['MyTaskToken'... | Hyunsoo-Ryan-Lee/AWS-Training | CDK-Python/lambda_functions/lambda_stepfunction/callback/lambda_function.py | lambda_function.py | py | 537 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "boto3.client",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 21,
... |
74791824053 | import argparse
import textwrap
help_prefix = textwrap.dedent(
"""\
This is a lisp interpreter with clojure like syntax, Namespaces
and full python interoperability"""
)
help_suffix = textwrap.dedent("""""")
def get_argp():
"""Get an argument parser."""
return argparse.ArgumentParser(
... | EricGebhart/plysp | plysp/options.py | options.py | py | 1,322 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "textwrap.dedent",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "textwrap.dedent",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "argparse.RawDe... |
13337273255 | import pandas as pd
from sklearn.preprocessing import LabelEncoder
def get_season(date):
month = pd.to_datetime(date).month
if month in [12, 1, 2]:
return 0.00
elif month in [3, 4, 5]:
return 1.00
elif month in [6, 7, 8]:
return 2.00
else:
return 3.00
... | mhlvvln/enot-gpt | optimizer.py | optimizer.py | py | 2,279 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.to_datetime",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pa... |
43757046798 | import json
import os
import yaml
from django_grpc_bus.settings import message_bus_settings
from django import apps
class BaseSerializable:
attrs = ()
@property
def to_json(self):
return json.dumps(self.as_serializer())
def as_serializer(self):
result = {}
for k in self.attr... | rameezarshad/django-grpc-framework | django_grpc_bus/utils/service_meta.py | service_meta.py | py | 5,461 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "json.dumps",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.apps.apps.get_model",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "django.apps.apps",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "django.ap... |
20820573413 | from locale import currency
from unicodedata import category
from django.shortcuts import redirect, render
from django.contrib.auth.decorators import login_required
from .models import UserIncome, Source
from django.contrib import messages
from django.core.paginator import Paginator
from django.db import models
from dj... | Shrut26/Expense-Management | userincome/views.py | views.py | py | 5,479 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "models.Source.objects.all",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "models.Source.objects",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "models.Source",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "mo... |
32449782 | import asyncio
import csv
import logging
from urllib.parse import parse_qs, urlparse
from datetime import time, timezone
import discord
from discord.ext import commands, tasks
from ehrenbot import Ehrenbot
from ehrenbot.utils.exceptions import BungieAPIError
from ehrenbot.utils.registration import (
check_profile... | soares-daniel/Ehrenbot-1.0 | ehrenbot/cogs/registration.py | registration.py | py | 5,944 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "ehrenbot.Ehrenbot",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "... |
19934856020 | import asyncio, argparse, subprocess
parser = argparse.ArgumentParser(description="Servidor asincrónico")
parser.add_argument('-ht', type=str, help="Ingresar host")
parser.add_argument('-p', type=int, help="Ingresar puerto")
args = parser.parse_args()
async def tcp_echo_client():
reader, writer = await asyncio.op... | bruno212121/Computaciondos_2022 | AsyncIO/cliente.py | cliente.py | py | 843 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "asyncio.open_connection",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "asyncio.run",
"line_number": 24,
"usage_type": "call"
}
] |
18049693176 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Visualization functions for megsim.
author: Jussi (jnu@iki.fi)
"""
import pathlib
import mne
import numpy as np
import trimesh
from mayavi import mlab
from mne.transforms import _cart_to_sph, _pol_to_cart, apply_trans
from mne.io.constants import FIFF
from scipy.spati... | andreyzhd/MEGSim | megsimutils/viz.py | viz.py | py | 12,101 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "mayavi.mlab.triangular_mesh",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "mayavi.mlab",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "mayavi.mlab.mesh",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "mayavi.mlab"... |
36084220002 | #!/usr/bin/env python3
#
"""
Extract data for FL.
For example:
$ scripts/extract_FL.py
"""
import geopandas
from geopandas import GeoDataFrame
from baseline import *
def main() -> None:
"""Preprocess modified VTD (precinct) data for FL"""
xx: str = "FL"
# water: bool = True
adds: bool = False
... | alecramsay/baseline | scripts/extract_FL.py | extract_FL.py | py | 5,041 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "geopandas.GeoDataFrame",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "geopandas.read_file",
"line_number": 36,
"usage_type": "call"
}
] |
11442851426 | #!/usr/bin/python3
from variables import *
import wdriver
import dbase
from datetime import datetime
from selenium.webdriver.common.by import By
from selenium.common.exceptions import NoSuchElementException
from selenium.common.exceptions import TimeoutException
from urllib.parse import urlparse
from time import sleep... | npr0n/phoenixarchiver | _docker-refactor/brazzers.py | brazzers.py | py | 9,079 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "poster.mega_logout",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "poster.mega_login",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "dbase.init_db",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "poster.collection_... |
12026716011 | # -*- coding: utf-8 -*-
import json
from django.test import SimpleTestCase
from fw_engine.models import Rule, Host, Module, ModuleParam
class TestRules(SimpleTestCase):
def test_get(self):
host = Host()
host.name = "host for testing rule list"
host.save()
mod = Module()
mo... | rikkt0r/firewall-rule-generator | server/fw_api/tests/test_rules.py | test_rules.py | py | 5,639 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.test.SimpleTestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "fw_engine.models.Host",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "fw_engine.models.Module",
"line_number": 13,
"usage_type": "call"
},
{
"api_name":... |
3057669596 | #! python
"""
Companion tool to citex, which heuristically matches close title names.
The output is a single .bib file, with all references in the inputs grouped
and annotated if they may be duplicates. It is suggested to use this on the
output of citex.
"""
import argparse
import collections
import difflib
import os
... | HealthHackAu2016/cbr-improved-citations | second_pass.py | second_pass.py | py | 3,651 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "difflib.ndiff",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "btx_io.write_bib_entries",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "btx_io... |
27145099837 | from odoo import models, fields, api, _
import uuid
class AttachmentsShare(models.Model):
_name = 'attachments.share'
_description = 'Attachments Share'
def _default_access_token(self):
return uuid.uuid4().hex
def _compute_state(self):
for record in self:
record.state = '... | kasng/OdooPM | extra-addons/sync_documents/models/attachments_share.py | attachments_share.py | py | 2,253 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "odoo.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "uuid.uuid4",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "odoo.fields.Date.from_str... |
40549665642 | import io
from unittest.mock import MagicMock
import pytest
from monkeytypes import OperatingSystem
from tests.monkey_island import InMemoryFileRepository
from monkey_island.cc.repositories import IFileRepository, RetrievalError
from monkey_island.cc.services.agent_binary_service.agent_binary_repository import (
... | guardicore/monkey | monkey/tests/unit_tests/monkey_island/cc/services/agent_binary_service/test_agent_binary_repository.py | test_agent_binary_repository.py | py | 1,921 | python | en | code | 6,367 | github-code | 21 | [
{
"api_name": "tests.monkey_island.InMemoryFileRepository",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "monkey_island.cc.services.agent_binary_service.agent_binary_repository.LINUX_AGENT_FILE_NAME",
"line_number": 22,
"usage_type": "argument"
},
{
"api_name": "io.By... |
71833981494 | import os, sys
sys.path.append(os.path.join(os.path.dirname(__file__), "../../"))
from scripts.simulation.SimulationWorld import SimulationWorld
from scripts.GUI import TrajPlanner
from PyQt4 import QtGui
import sys
from scripts.TrajectoryOptimizationPlanner.TrajectoryOptimizationPlanner import TrajectoryOptimizationPl... | k-maheshkumar/trajopt_python | scripts/examples/planner_example_kukka_arm.py | planner_example_kukka_arm.py | py | 2,623 | python | en | code | 25 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
4049187370 | from auditlog.registry import auditlog
from django.db import models
class Case(models.Model):
total = models.IntegerField()
recovered = models.IntegerField()
deaths = models.IntegerField()
county = models.ForeignKey("County", on_delete=models.CASCADE)
as_of = models.DateField()
created_on = m... | rzwink/ohioready-api | api/models/case.py | case.py | py | 623 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.IntegerField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name"... |
13954466857 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import string
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics import f1_score
from sklearn.preprocessing import StandardScaler
from sklearn.svm import LinearSVC
from sklearn.naive_bayes import MultinomialNB
'''Load Data'''
training = open... | AndreaCeolin/VarDial2021 | RDI/shallow_models.py | shallow_models.py | py | 1,389 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "string.punctuation",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 30,
"usage_... |
41890773307 | ## fetchbot spider v.0.0.1 beta created by pro_metheus
import requests
from bs4 import BeautifulSoup as bs
def spider(a): #the spider function who visits the links provided by the breaker
if(requests.get(a)):
r=requests.get(a)
print(a+" found and is working...")
#all other function... | pro-metheus/fetcher | spider.py | spider.py | py | 711 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_nu... |
29505986232 | from django import template
register = template.Library()
@register.simple_tag
def column_classes(col_block):
"""
Creates a list of classes for column classes
:param col_block: a Column block from a StructBlock
:return:
"""
class_str = ''
for val, size in col_block.value['columns'].items(... | Designer023/cookiecutter-wagtail-bootstrap-heroku | {{cookiecutter.pkg_name}}/boost_cms/templatetags/bootstrap_grid_tags.py | bootstrap_grid_tags.py | py | 682 | 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"
}
] |
28801916387 | import sys
import io
_INPUT = """\
20 1000
4
51 69 102 127 233 295 350 388 417 466 469 523 553 587 720 739 801 855 926 954
"""
sys.stdin = io.StringIO(_INPUT)
# 「答え」を二分探索する問題
# 範囲を「半分の値=基準値」で割って探索するのが二分探索
# 今回の場合、スコアの値は0以上L以下と最大と最小が決まっているのでこれの半分であるM以上の値は満たすかを調べていくことで求められる
import sys
N, L = list(map(int, sys.stdin.... | Satjopg/atcoder | typical90/001.py | 001.py | py | 1,195 | python | ja | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_n... |
5670845974 | from django.shortcuts import get_object_or_404
from rest_framework import generics, permissions
from rest_framework.response import Response
from rest_framework.parsers import FormParser,MultiPartParser
from .models import BecomeTeacher
from .serializers import BecomeTeacherSerializer, TeacherProfileSerializer
from use... | piyushKumar-1/online-tuition | teacher/api.py | api.py | py | 7,041 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.generics.GenericAPIView",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "student.serializers.EventsSerializer",
"line_number": 15,
"usage_type... |
21633916428 | import openai
import os
# Configure a chave de API
openai.api_key = "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"
# Envie uma solicitação de texto para o modelo ChatGPT
response = openai.Completion.create(
engine="davinci", # Escolha um dos modelos pré-treinados disponíveis
prompt="Olá, como poss... | Daniel-sdn/openai | arquivo-bkp/chave.py | chave.py | py | 440 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "openai.api_key",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "openai.Completion.create",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "openai.Completion",
"line_number": 8,
"usage_type": "attribute"
}
] |
26966499971 | import csv
from codecs import BOM_UTF8, BOM_UTF16, BOM_UTF16_BE, BOM_UTF16_LE
from io import StringIO
def _csv_iter(f, has_header):
rd = iter(csv.reader(f))
hdr = next(rd) if has_header else []
return hdr, rd
def rows_from_csv(filename, encoding='utf-8', has_header=True, return_header=False):
with o... | MHMMD-ASHIF/VOX-personal-voice-assistant | venv/Lib/site-packages/plib/stdlib/csvtools.py | csvtools.py | py | 1,720 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "csv.reader",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "codecs.BOM_UTF8",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "codecs.BOM_UTF16",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "codecs.BOM_UTF16_BE",
... |
71993383413 | #### 01 Setting Up ####
import requests
from bs4 import BeautifulSoup
import csv
url = "https://www.justdial.com/Madanapalle/Mobile-Shops/nct-11216691"
r = requests.get(url)
print(r.content)
soup = BeautifulSoup(r.content, 'html5lib')
print(soup.prettify())
#### 02 Scraping ####
shop_name_location = ".lng_cont_... | ashrithssreddy/adhoc_codes | eyewear_data_scraping/code.py | code.py | py | 386 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 8,
"usage_type": "call"
}
] |
24562156368 | bl_info={
"author": "STEAM LAB CENTRO, Diego Trujillo Pisanty",
"blender":(2,80,0),
"description":"Export RAPID scripts for ABB robots",
"name":"ABBlender",
"support":"TESTING",
"version":(0,2),
"wiki_url":"https://github.com/dtpisanty/abblender"
}
import bpy
from math import degrees
#... | dtpisanty/abblender | abblender.py | abblender.py | py | 10,816 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "bpy.types",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "bpy.props.StringProperty",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bpy.props",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "bpy.props.Stri... |
24567942470 | #!/usr/bin/python3
from loadgui import problems
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
import os
def pie_chart(directory, colors):
h, i = problems(directory)
fig = plt.figure()
lst_data = []
lst_value = []
for j in range(len(h)):
lst_data.append(h[j])
... | 0m3re/SNCF | visuel/piechart.py | piechart.py | py | 792 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "loadgui.problems",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.arra... |
7955078133 | from configparser import ConfigParser
from tkinter.filedialog import askdirectory
from win10toast import ToastNotifier
toast = ToastNotifier()
file = 'config.ini'
config = ConfigParser()
config.read(file)
#ruta vieja C:/Users/miyav/videos/prueba-wdog
# path = askdirectory()
path = '{}'.format(askdirectory(title='Sel... | Rob382/auto-borrar-archivo-mas-reciente | actualizar_config.py | actualizar_config.py | py | 1,054 | python | es | code | 1 | github-code | 21 | [
{
"api_name": "win10toast.ToastNotifier",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog.askdirectory",
"line_number": 13,
"usage_type": "call"
}
] |
71192904053 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('students', '0005_auto_20151022_2131'),
]
operations = [
migrations.CreateModel(
name='Groups',
field... | egorsmth/students | students/migrations/0006_auto_20151022_2142.py | 0006_auto_20151022_2142.py | py | 1,114 | 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.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
37128106690 | import matplotlib.pyplot as plt
import numpy as np
import argparse as ap
import scipy.integrate as si
def lj(r,eps,sig):
r6=r*r*r*r*r*r
r6i=pow(sig,6)*np.reciprocal(r6)
return 4*eps*(r6i*r6i-r6i)
parser=ap.ArgumentParser()
parser.add_argument('-i',type=str,default=[],action='append',help='input file name'... | Abrams-Teaching/instructional-codes | originals/plot_rdf.py | plot_rdf.py | py | 1,379 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.reciprocal",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "ma... |
27574052527 | from datetime import datetime
import numpy as np
def convert_to_rates(times, values):
rates = np.diff(values) / np.diff(times)
return times[:-1], rates
def interpolate_times(times, values):
times_interp = np.linspace(np.min(times), np.max(times), times.size)
values_interp = np.interp(times_interp, t... | akofke/autoperiod | src/autoperiod/helpers.py | helpers.py | py | 918 | python | en | code | 12 | github-code | 21 | [
{
"api_name": "numpy.diff",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 11,... |
71409923893 | from __future__ import print_function
from keras.models import Model
from keras.models import Sequential
from keras.layers import Input, LSTM, Dense
import numpy as np
import os
import audiosegment
from keras.layers import TimeDistributed
from keras.layers import RepeatVector
'''
Yet another attempt with LS... | joakimrisa/Mandatory | Prosjekt/retryLSTM.py | retryLSTM.py | py | 2,072 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.walk",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "audiosegment.from_file",
"line_... |
28018712128 | from requests import get
import json
url = 'https://earthquake.usgs.gov/fdsnws/event/1/query'
def main():
with open('CA.txt', 'w') as f:
arr = []
for year in range(1970, 2021):
for month in range(1, 12):
_month1 = month if month > 9 else f'0{month}'
_mo... | Dearkano/Aftershock | ml/datafeed.py | datafeed.py | py | 977 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 28,
"usage_type": "call"
}
] |
72905278453 | import wordle_solve, json, copy
# word list - load in from json file
# f = open('bigdictionary.json')
f = open('wordledictionary.json')
wordList = json.load(f)
f.close
# initialize all_words and valid_words lists - dictionary with words of proper length
# and with T or F indicating whether word valid with current Kno... | jacoxnet/wordle | play.py | play.py | py | 2,059 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "wordle_solve.WORDLEN",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "copy.deepcopy",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "wordle_solve.WordKno... |
42872149867 | from flask import render_template, redirect, session, request, url_for, flash, Markup
from app import app, db
from app.forms import LoginForm, EditorForm
from app.models import User, Post, Tag
from flask_login import current_user, login_user, logout_user, login_required
from werkzeug.urls import url_parse
from werkzeug... | magicaljellybeans/blog | app/routes.py | routes.py | py | 6,783 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.request.args.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "app.mode... |
30539532734 | """Esse módulo contém funções e classes utilitárias
para otimizações do ABM.
"""
from __future__ import annotations
from dataclasses import dataclass
from typing import Callable
import numpy as np
from py_abm.entities import Fitness
from py_abm.fitness.abm import Market, OptimizationType
class ABMFitnessWithCallba... | moesio-f/py-abm-public | src/py_abm/runners/utils/abm.py | abm.py | py | 10,057 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "py_abm.entities.Fitness",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "py_abm.ent... |
71898370934 | import WebScraper as ws
import Lists as l
from selenium.common import exceptions as seleniumExceptions
import traceback
import StringOperations as s
import Enums as e
class FacebookScraper(ws.Webscraper):
def __init__(self, email, password):
ws.Webscraper.__init__(self)
self.login(email, password... | danach707/FinalProjectJCE | FacebookScraper.py | FacebookScraper.py | py | 6,099 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "WebScraper.Webscraper",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "WebScraper.Webscraper.__init__",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "WebScraper.Webscraper",
"line_number": 12,
"usage_type": "attribute"
},
{
... |
34477856822 | #incomplete
from rest_framework.test import APITestCase
from rest_framework.reverse import reverse as api_reverse
from rest_framework import status
from django.contrib.auth import get_user_model
from testeAPI.models import BlogPost
#automated
#new/blank db
from testeAPI.models import BlogPost
class BlogAPITestCase(A... | jpmarques-13/primeiraAPI | TestandoAPI/testeAPI/api/test.py | test.py | py | 1,045 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.test.APITestCase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "testeAPI.models.BlogPost.objects.create",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "testeAPI.models.BlogPost.objects",
"line_number": 19,
"usage_type... |
2409745527 | from __future__ import absolute_import
import logging
from .error_messages import CHARACTER_LIMIT_MESSAGE
logger = logging.getLogger(__name__)
WEBVIEW_HEIGHT_RATIOS = [
'compact',
'tall',
'full',
]
class Text(object):
def __init__(self, text, quick_replies=None):
self.text = text
s... | rehabstudio/fbmessenger | fbmessenger/elements.py | elements.py | py | 6,577 | python | en | code | 111 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "error_messages.CHARACTER_LIMIT_MESSAGE.format",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "error_messages.CHARACTER_LIMIT_MESSAGE",
"line_number": 75,
"usage_type": ... |
35707864700 | import unittest
import os
from lib.height import Heights
test_filename = os.path.join(os.path.dirname(
__file__), 'test_data', 'test_data.txt')
class TestHeights(unittest.TestCase):
def test_path_finder(self):
with open(test_filename) as f:
heights = Heights(f)
heights.find_path... | steventhurgood/adventofcode | lib/height/height_test.py | height_test.py | py | 567 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_... |
31388230511 | import argparse
import os
import numpy as np
import time
from io import BytesIO
import matplotlib
import matplotlib.pyplot as plt
from common.mko import MKO
from common.utilities import encodings
from externals import get_samples_array, post_error, post_results_cache, post_status
import time
def parse_args():
par... | SCOREC/BDA_SM | src/analyzers/executables/cloudplot.py | cloudplot.py | py | 4,359 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.unlink",
"... |
5439995552 | import pygame
from player import Player
from food import Food
import constants as C
from levels import levels
from helpers import Point
from obstacle import Obstacle
def point_inside_rect(point, rect):
return rect.x <= point.x < rect.x + rect.width and rect.y <= point.y < rect.y + rect.height
def rect_collisio... | sammko/EatForSpeed | main.py | main.py | py | 4,663 | python | en | code | null | github-code | 21 | [
{
"api_name": "helpers.Point",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "helpers.Point",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "levels.levels",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "obstacle.Obstacle",
"li... |
14725055013 | import requests
import json
def fetch_data(url):
resp = requests.get(url)
try:
json_data = resp.json()
except json.decoder.JSONDecodeError:
print(f"Error ao buscar: {url}")
return {}
return json_data
def get_from_via_cep_api(cep: str):
CEP_URL = f"https://viacep.com.br/ws... | n1lux/csv-to-table | utils/get_api.py | get_api.py | py | 418 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.decoder",
"line_number": 9,
"usage_type": "attribute"
}
] |
74403148211 | from .models import *
from django.core.files import File
from django.contrib.auth.models import Group
def check_matches():
for match in Match.objects.all():
pointsA = 0
pointsB = 0
if match.tabellinoA:
for stat in match.tabellinoA.get_stats():
if stat:
... | Morri02/Portale-FIP | main/initcmds.py | initcmds.py | py | 4,842 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.core.files.File",
"line_number": 124,
"usage_type": "call"
},
{
"api_name": "django.core.files.File",
"line_number": 134,
"usage_type": "call"
}
] |
21746487552 | import copy
from typing import List, Mapping, Tuple, Dict
from petools.core import PosePredictorInterface
from .angle_math import *
class AngleCalculator:
right_shoulder_angle = 'right_shoulder_angle'
left_shoulder_angle = 'left_shoulder_angle'
right_hip_angle = 'right_hip_angle'
left_hip_angle = 'le... | MakiResearchTeam/PETools | petools/model_tools/angle_calculation_tools/angle_calculator.py | angle_calculator.py | py | 4,605 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "petools.core.PosePredictorInterface.HUMANS",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_nam... |
70314937974 | # 242. Valid Anagram
class Solution:
def isAnagram(self, s: str, t: str) -> bool:
from collections import Counter
c = Counter(s)
c1 = Counter(t)
return c == c1
s = Solution()
ss = "rat"
t = "car"
print(s.isAnagram(ss, t))
| Azjargal13/lc-notes-codes | general/lc-242.py | lc-242.py | py | 262 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.Counter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "{'Counter': 'collections.Counter'}",
"line_number": 12,
"usage_type": "call"
}
] |
6076976790 | #!/usr/bin/python
import RPi.GPIO as GPIO
from picamera import PiCamera
import time
import datetime
PIN = 12
GPIO.setmode(GPIO.BCM)
GPIO.setup(PIN, GPIO.IN)
camera = PiCamera()
camera.rotation = 180
camera.resolution = (1024, 576)
#camera.start_preview()
#sleep(20)
#camera.stop_preview()
while True:
time.s... | jutako/raspi | camera/PIR_camera.py | PIR_camera.py | py | 790 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "RPi.GPIO.setmode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BCM",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "RPi.GPIO.setup",
"lin... |
28627356994 | import os
import mimetypes
from django import forms
from django.core.exceptions import ObjectDoesNotExist
from django.http import HttpResponseBadRequest, FileResponse
from django.shortcuts import render
from django.utils.http import urlquote
from django.views import View
from website.models import Category
from websit... | PLUS-POSTECH/study.plus.or.kr | src/seminar/views.py | views.py | py | 2,907 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "django.forms.Form",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.for... |
27885495347 | import asyncio
import os
import discord
from decouple import config
from discord.ext import commands
intents = discord.Intents().all()
bot = commands.Bot(command_prefix="!", intents=intents)
bot.remove_command('help')
# Load Extensions
async def load_cogs():
await bot.load_extension('help')
await bot.load_e... | matheusrod21/Duda-Discord-Bot | src/main.py | main.py | py | 597 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "discord.Intents",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "os.listdir... |
25900181194 | from collections import namedtuple
from abc import ABC, abstractmethod
import numpy as np
from scipy.signal import find_peaks
from scipy.ndimage import maximum_filter
# Helper functions for validating inputs.
def ensure_covariance_size(R, array):
"""Ensures the size of R matches the given array design."""
m = ... | morriswmz/doatools.py | doatools/estimation/core.py | core.py | py | 10,582 | python | en | code | 132 | github-code | 21 | [
{
"api_name": "scipy.signal.find_peaks",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.maximum_filter",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "nump... |
308559622 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('hs', '0003_auto_20150312_2216'),
]
operations = [
migrations.AlterField(
model_name='challenge',
name... | maincarry/esports-hs | hs/migrations/0004_auto_20150312_2230.py | 0004_auto_20150312_2230.py | py | 666 | 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.AlterField",
"line_number": 13,
"usage_type": "call"
},
{... |
37224594218 | #CH07_02. SVM 커널 실습(python)
#Iris 데이터를 이용한 SVM 커널 실습
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
np.random.seed(2021)
#1. Data
from sklearn.datasets import load_iris
iris = load_iris()
data = iris.data
target = iris.target
data = data[target !=0, :2]
target = target[target !=0]
plt.sca... | badjiyoon/da_study | Sewon/part4/ch7/ML_algorithm_ch7_02.py | ML_algorithm_ch7_02.py | py | 4,879 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.random.seed",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotl... |
19943918727 | import configparser
import requests
import json
config = configparser.ConfigParser()
config.read("config.ini")
bearer_token = config.get("vars", "bearer_token")
api_application = config.get("vars", "api_application")
api_company = config.get("vars", "api_company")
template = config.get("vars", "template")
agents_url ... | ixoncloud/apply-agent-template-to-all | main.py | main.py | py | 1,721 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "requests.patch",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "json.dumps",
... |
17195050673 | import abc
from collections import OrderedDict
import cfpi.core.gtimer as gt
from cfpi.core.logging import eval_util, logger
from cfpi.data_management.replay_buffer import ReplayBuffer
from cfpi.samplers.path_collector import MdpPathCollector
def _get_epoch_timings():
times_itrs = gt.get_times().stamps.itrs
... | cfpi-icml23/cfpi | cfpi/core/rl_algorithm.py | rl_algorithm.py | py | 8,096 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "cfpi.core.gtimer.get_times",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cfpi.core.gtimer",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "collections.OrderedDict",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "c... |
17769833730 |
from django.urls import path
from rest_framework.authtoken import views
from . import views
from rest_framework_simplejwt.views import (
TokenObtainPairView,
TokenRefreshView,
)
urlpatterns = [
path('invoices/', views.InvoiceView.as_view(), name='invoice'),
path('invoices/mass/', views.InvoiceMass.as_v... | EnisBourbia/Payio | backend/invoice/urls.py | urls.py | py | 1,223 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rest_framework.authtoken.views.InvoiceView.as_view",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rest_framework.authtoken.views.InvoiceView",
"line_number": 10,
"usag... |
15579654480 | # Cut Edge
from collections import defaultdict
graph = defaultdict(list)
visited = []
timer = 0
# low -> lowest time of insertion of the current node
# tin -> actual time of insertion of the current node
low, tin = [], []
def printAllBridges(current, parent):
global graph, visited, timer, low, tin
visited[c... | Deepak-Laksman/DSA-Implementations-Python | Graphs/BridgesInGraph.py | BridgesInGraph.py | py | 1,221 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 5,
"usage_type": "call"
}
] |
73034818293 | """
======================================
MEGSIM single trial simulation dataset
======================================
The MEGSIM consists of experimental and simulated MEG data
which can be useful for reproducing research results.
The MEGSIM files will be dowloaded automatically.
The datasets are documented in:
A... | LiuFang816/SALSTM_py_data | python/mne-tools_mne-python/mne-python-master/examples/datasets/plot_megsim_data_single_trial.py | plot_megsim_data_single_trial.py | py | 1,226 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "mne.datasets.megsim.load_data",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "mne.read_evokeds",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "mne.combine_evoked",
"line_number": 33,
"usage_type": "call"
}
] |
26559599811 | import numpy as np
import pandas as pd
import scipy.signal
import matplotlib.colors
import matplotlib.pyplot as plt
import sampex
import cdflib
import fbrbsp
import fbrbsp.load.utils as utils
from fbrbsp.load.emfisis import Mag
base_data_url = 'https://spdf.gsfc.nasa.gov/pub/data/rbsp/'
q_e = -1.6E-19
m_e = 9.1E-31
... | mshumko/fbrbsp | fbrbsp/load/efw.py | efw.py | py | 8,822 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "fbrbsp.load.utils.validate_time_range",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "fbrbsp.load.utils",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "fbrbsp.load.utils.get_filename_times",
"line_number": 52,
"usage_type": "call"
... |
32875628181 | # 세그먼트 트리 설명 - 안경잡이개발자 https://m.blog.naver.com/ndb796/221282210534
# 세그먼트 트리 효율적인 구현 https://gyutaelee.github.io/algorithm/Efficient-and-easy-segment-trees/
from typing import List
class NumArray:
def __init__(self, nums: List[int]):
n = len(nums)
# 2n 길이의 이진 트리를 만듭니다.
# 1이 루트노드이며, 0은 사용... | yeardream-high6/coding_test | 곽치영/Leetcode/2022.07/31/leetcode307.py | leetcode307.py | py | 2,343 | python | ko | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
}
] |
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