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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
13895478896 | ########################################################################################
# Run examples from our paper in RBEF
########################################################################################
import sys
import numpy as np
import matplotlib.pyplot as plt
import multiprocessin... | ViniciusLima94/pyGC | runRBEF.py | runRBEF.py | py | 7,302 | python | en | code | 30 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pygc.pySpec.pySpec.compute_freq",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pygc.pySpec... |
10731823816 | import torch
from torch import nn
import torchvision.transforms as T
#######################################################################################
######################################## DRML ########################################
########################################################################... | girishvn/BigSmall | code/neural_methods/model/literature_models.py | literature_models.py | py | 15,138 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
13085423175 | import json
# this will create a tweet, with possiblities of adding medias and replying to other tweets
def create_tweet(tas, message, media_ids = None, reply_ids = None):
payload = {"status": message}
if media_ids != None:
payload["media_ids"] = media_ids
if reply_ids != None:
payload["in_reply_to_status_i... | filming/Twitter | src/Twitter/tweet/tweet.py | tweet.py | py | 723 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 25,
"usage_type": "call"
}
] |
15018029353 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 5 16:56:55 2022
@author: josephbriggs
"""
import pathlib
import argparse
import cv2
def main():
'''
Converts files to greyscale.
'''
parser = argparse.ArgumentParser(description='Convert files to greyscale.')
parser.add_argu... | jhb123/enhance_greyscale | imgs_to_gs.py | imgs_to_gs.py | py | 1,430 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"l... |
12598627326 | from airflow.hooks.postgres_hook import PostgresHook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
class DataQualityOperator(BaseOperator):
"""
Runs data quality check by passing test SQL
Parameters
redshift_conn_id: Redshift Connection ID
test_s... | ljia-ch/airflow_data_pipeline_project | plugins/operators/data_quality.py | data_quality.py | py | 1,362 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "airflow.models.BaseOperator",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "airflow.utils.decorators.apply_defaults",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "airflow.hooks.postgres_hook.PostgresHook",
"line_number": 32,
"usage_t... |
21368565276 | import numpy as np
import time
import matplotlib.pyplot as plt
a=np.loadtxt('meas2/magnitude_0to40.0mA_freq_sweep.csv', delimiter=',')
c=np.loadtxt('meas2/phase_0to40.0mA_freq_sweep.csv', delimiter=',')
b=np.loadtxt('meas2/sweep_feq.csv', delimiter=',')
cstart=0 #start current
cstop=40E-3 # stop current
cs... | physikier/magnetometer | src/plot.py | plot.py | py | 775 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.loadtxt",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
... |
42656181560 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import os.path
import argparse
import logging
from tarfile import TarFile
from thirdparty.dagflow import ParallelTask, Task, DAG, do_dag
from ontbc.common import mkdir, touch, read_tsv
from ontbc.parser import add_barcode_parser
from ontbc.config import PORECHO... | FlyPythons/ontbc | ontbc/barcode.py | barcode.py | py | 5,174 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.path.dirname",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path",
... |
39865467891 | from IPython import get_ipython
def type_of_script():
"""
Detects and returns the type of python kernel
:return: string 'jupyter' or 'ipython' or 'terminal'
"""
try:
ipy_str = str(type(get_ipython()))
if 'zmqshell' in ipy_str:
return 'jupyter'
if 'terminal' in i... | syj3514/MissingSat | befo231205/05b_get_involved_cpu.py | 05b_get_involved_cpu.py | py | 3,847 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "IPython.get_ipython",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rur.uri.timer",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "rur.uri",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "icl_IO.mode2repo",
... |
12190600050 | #
# db.py
#
import os
import sqlite3
import time
import datetime
from flask import g
import db_init
def test_db_conn():
dbname = os.environ.get("SEVENS_DB_NAME")
try:
os.remove(dbname)
except OSError:
pass
""" Check if db connection can open, create and init db if doesn't already exist... | tolkamps1/sevens7 | db.py | db.py | py | 3,441 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.remove",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_n... |
11941164377 | #!/usr/bin/env python
#
# fast_mr ->
#
# Fast molecular replacement in the spirit of fast_dp, starting from coordinate
# files and using brute force (and educated guesses) to get everything going.
#
# fast_mr - main program.
import os
import sys
import time
import shutil
import math
import traceback
from multiprocessi... | DiamondLightSource/fast_ep | src/fast_mr.py | fast_mr.py | py | 6,927 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_numb... |
40471740091 | import os
import cv2
import numpy as np
import shutil
import sys
sys.path.insert(0,os.path.realpath('..'))
sys.path.insert(0,os.path.join(os.path.realpath('..'),'piano_utils'))
from tools.warper import order_points
from config import cfg
from piano_utils.networks import PSPNet
from piano_utils.util import colori... | yxlijun/vision-piano-amt | figures/plt_keyboard.py | plt_keyboard.py | py | 7,430 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sys.path.insert",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
1383718733 | from .base import metadata
from sqlalchemy import Table, Column, BigInteger,\
String, Boolean, DateTime
t_users = Table(
"users",
metadata,
Column('u_id', BigInteger), # telegram id
Column('name', String), # фамилия c инициалами
Column('name_tg', String), # имя по... | oleg-medovikov/eventlog | base/users.py | users.py | py | 618 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "sqlalchemy.Table",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "base.metadata",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.BigInteg... |
5759912904 | # -*- coding: utf-8 -*-
"""
Created on Wed Feb 20 09:17:19 2019
@author: if715029
"""
import numpy as np
import matplotlib.pyplot as plt
import scipy.spatial.distance as sc
import pandas as pd
#%%
data = pd.read_excel('../data/Datos_2015.xlsx',sheet_name='Atemajac')
#%%
data = data.iloc[:,2:7].dropna()
#%%
D1 = sc... | OscarFlores-IFi/CDINP19 | code/p6.py | p6.py | py | 616 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_excel",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.distance.squareform",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.distance",
"line_number": 20,
"usage_type": "name"
},
{
"api_na... |
18659651890 | import models
import typing
import sqlite3
import os
import sys
class Storage:
def __init__(self):
self._conn = sqlite3.connect('v_store.db')
self._cursor = self._conn.cursor()
self._queries: dict[str, str] = self.read_queries()
def __del__(self):
self._cursor.close()
s... | Ayon-Bhowmick/Vec4Rec | src/storage.py | storage.py | py | 2,150 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Point",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "models.Vector",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "models.Vector",
... |
22951595310 | #!/usr/bin/env python2.7
"""
A tool to update the Product Version and Code of a C# VS2010 setup package (*.vdproj). Intended
to be used with an automated build process.
"""
import re
import uuid
import argparse
import os, shutil
import tempfile
##"ProductCode" = "8:{35424778-8534-431B-9492-5CD84B1EDE03}"
... | wfriedl/pvc_changer | pvc_changer.py | pvc_changer.py | py | 2,183 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tempfile.mkstemp",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.close",
"line_number": ... |
19882708740 | import os
import click
from guardata.utils import trio_run
from guardata.api.protocol import OrganizationID
from guardata.logging import configure_logging
from guardata.cli_utils import spinner, cli_exception_handler
from guardata.client.types import BackendAddr, BackendOrganizationBootstrapAddr
from guardata.client.b... | bitlogik/guardata | guardata/client/cli/create_organization.py | create_organization.py | py | 1,793 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "guardata.cli_utils.spinner",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "guardata.client.backend_connection.apiv1_backend_administration_cmds_factory",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "guardata.client.types.BackendOrganization... |
3345758956 |
from tkinter import *
from tkinter import messagebox
import tkinter as tk
import time, sys
from pygame import mixer
from PIL import Image, ImageTk
def alarm():
alarm_time=user_input.get()
if alarm_time=="":
messagebox.askretrycancel("Error Message","Please Enter value")
else:
... | shuchi111/Alarm_clockGUI.py | alarm.py | alarm.py | py | 1,256 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "tkinter.messagebox.askretrycancel",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.... |
17345627172 |
import os
import glob
import torch
from torchvision import transforms as T
from torch.utils.data import DataLoader,Dataset
from torch.utils.data.distributed import DistributedSampler
from codes.utils import img_processing
from codes.data import data_utils
import math
import numpy as np
class Load_Data(D... | csxuwu/LRCR_Net | codes/data/data_loader4.py | data_loader4.py | py | 5,103 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "glob.glob",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
33699952990 | from django.contrib import admin
from django.urls import path
from web.views import home_page
from django.contrib.auth.views import LoginView, LogoutView
from ckt.views import (
CircuitControlView,
CircuitStatusView,
write_api_view,
read_api_view,
to_circuit,
plot_graph,
chartview,
grap... | sumansam312/IOT_Platform | iot/urls.py | urls.py | py | 1,462 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "... |
38907427149 | import tkinter as tk
try:
import pygame
except ImportError:
audio = None
else:
audio = True
import sys
import random
import time
### Stopped Let's code: Tetris episode 19 by TigerhawkT3 at 00:58:42
### Use score_lines or high_score_lines to increase level and speed etc.
class Shape:
def __init__(self... | Jack-Evitts/Pythtris | Tetris.py | Tetris.py | py | 22,949 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.perf_counter",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "time.perf_count... |
27592948212 | import serial
inp=input("Enter the port : ")
ser=serial.Serial(inp,baudrate=230400,timeout=None)
data_old=0 # always the first-fixed bit
skipped=0
cntr=0
fl=1
su=0
cx=0
while True:
if (skipped!=0):
data_old=ser.readline().decode('ascii')[0]
data_old=int(data_old)
skipped-=1
continue
... | eclubiitk/Li-Fi-E-Club | Old Codes/non-queue implementation/Receiver.py | Receiver.py | py | 910 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "serial.Serial",
"line_number": 3,
"usage_type": "call"
}
] |
22938524534 | import cv2
import numpy as np
from model import Model
import math as m
import time
import logging as log
class headPoseEstimation():
def __init__(self, MODEL_PATH, DEVICE):
self.model_loaded = Model(MODEL_PATH, DEVICE)
self.model_loaded.get_unsupported_layer()
self.model_name = ... | SamyTahar/Computer-Pointer-Controller | src/headposeestimation.py | headposeestimation.py | py | 1,885 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "model.Model",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
... |
26971894453 | import logging
import mtcorr
import statistics as stats
import math
import h5py
import numpy
import sys
log = logging.getLogger(__name__)
def load_from_hdf5(filename):
f = h5py.File(filename,'r')
quantiles_dict = {}
stats = {}
if 'quantiles' in f:
quantiles_dict['exp_quantiles'] = f['quanti... | timeu/PyGWAS | pygwas/core/result.py | result.py | py | 9,529 | python | en | code | 20 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.pow",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "math.pow",
"line_number": 57... |
40684104940 | #!/usr/bin/python3
"""
function that queries the Reddit API
and returns the number of subscribers
"""
import requests
def number_of_subscribers(subreddit):
"""initializate"""
if (type(subreddit) is not str):
return(0)
url_api = ("https://www.reddit.com/r/{}/about.json".format(subreddit))
hea... | manosakpujiha/alx-system_engineering-devops | 0x16-api_advanced/0-subs.py | 0-subs.py | py | 539 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
}
] |
7997489923 | """
Before executing this script make sure that all packages are installed properly
and also select 3 ips from resource pool wiki which are not in use.(check using ping command)
purpose:
-------
This script is for first time setup of dcs vm which includes
accepting eula,changing password,configure the ip and changing ... | Srija-Papinwar/CD | scripts/dcs_fts.py | dcs_fts.py | py | 20,662 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"l... |
30366445741 | from traits.api import Bool, Instance, Float, Property
# Local relative imports
from .abstract_mapper import AbstractMapper
from .data_range_1d import DataRange1D
class Base1DMapper(AbstractMapper):
"""Defines an abstract mapping from a 1-D region in input space to a 1-D
region in output space.
"""
... | enthought/chaco | chaco/base_1d_mapper.py | base_1d_mapper.py | py | 4,221 | python | en | code | 286 | github-code | 6 | [
{
"api_name": "abstract_mapper.AbstractMapper",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "traits.api.Instance",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "data_range_1d.DataRange1D",
"line_number": 14,
"usage_type": "argument"
},
{
"a... |
27103152939 | from itertools import product
import numpy as np
import pytest
from dcegm.pre_processing.params import process_params
from numpy.testing import assert_array_almost_equal as aaae
from scipy.special import roots_sh_legendre
from scipy.stats import norm
from toy_models.consumption_retirement_model.budget_functions import... | OpenSourceEconomics/dcegm | tests/test_budget_equation.py | test_budget_equation.py | py | 2,269 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "itertools.product",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "dcegm.pre_processing.params.process_params",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 40,
"usage_type": "call"
},
{
"api_n... |
40546336482 | import dlib
import os
import numpy as np
import matplotlib.pyplot as plt
"""
此文件为正向人脸检测模块，采用dlib实现
"""
def _shape_to_np(shape):
xy = []
for i in range(68):
xy.append((shape.part(i).x, shape.part(i).y,))
xy = np.asarray(xy, dtype='float32')
return xy
def get_landmarks(img, detector, predicto... | hamster1963/face-all-in-one-machine-backend | face_irobot_main/facial_feature_detector.py | facial_feature_detector.py | py | 1,246 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.asarray",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot"... |
2696828667 | from collections import Counter
from trava.ext.boosting_eval.boosting_logic import CommonBoostingEvalLogic
from trava.ext.boosting_eval.eval_steps import EvalFitSteps
from trava.fit_predictor import FitPredictConfig, FitPredictConfigUpdateStep, FitPredictorSteps
from trava.split.result import SplitResult
from trava.tr... | ityutin/trava | trava/ext/grouped/group_steps.py | group_steps.py | py | 3,781 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "trava.fit_predictor.FitPredictConfigUpdateStep",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "trava.split.result.SplitResult",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "trava.fit_predictor.FitPredictConfig",
"line_number": 14,
"... |
30031301327 | import json
import networkx as nx
from networkx.drawing.nx_agraph import graphviz_layout
import matplotlib
import matplotlib.pyplot as plt
import networkx as nx
def read_details(pd_details):
"""[summary]
Args:
pd_details ([type]): [description]
Returns:
[type]: [description]
"""
... | siv2r/kidney-exchange | global_match/hovering.py | hovering.py | py | 8,711 | python | en | code | 45 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 117,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 117,
"usage_type": "name"
},
{
"api_name": "networkx.dra... |
24270720132 | import random
import os
import glob
import cv2
import numpy as np
import json
from detectron2.structures import BoxMode
import itertools
import sys
# import some common detectron2 utilities
import pdb
from detectron2.engine import DefaultPredictor
from detectron2.config import get_cfg
from detectron2.utils.visualizer ... | dhaivat1729/detectron2_CL | experiments/test_duckietown_detectron.py | test_duckietown_detectron.py | py | 6,268 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "detectron2.config.get_cfg",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "detectron2.structures.... |
8167072903 | from keras.callbacks import EarlyStopping, ModelCheckpoint
from keras import regularizers
import numpy as np
import pandas as pd
import math as math
import sys
import os
import keras
from keras.models import load_model
from keras.layers import Dropout , Flatten
from keras.layers import BatchNormalization
from keras.pre... | muachilin/Machine-Learning | hw5/hw5_test.py | hw5_test.py | py | 3,172 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "keras.preprocessing.text.text_to_word_sequence",
"line_number": 60,
"usage_type": "call"
},
{
"api_na... |
31975617255 | from django import template
from ..models import Page
register = template.Library()
@register.simple_tag
def main_menu():
"Query top-level pages"
return Page.objects.with_tree_fields().filter(
parent=None, is_active=True)
| dnknth/feincms-demo | pages/templatetags/menus.py | menus.py | py | 240 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.template.Library",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "models.Page.objects.with_tree_fields",
"line_number": 9,
"usage_type": "call"
},
{
"api_nam... |
23552963573 | #########################################################################
# File Name: getKmerFromVCF_REF.py
# Author: yanbo
# mail: liyanbotop@163.com
# Created Time: Thu 09 May 2019 10:45:06 AEST
#########################################################################
#!/bin/bash
import collections
from Bio import ... | yanboANU/VariationCalling | libprism/evaluate/getKmerFromVCF_REF.py | getKmerFromVCF_REF.py | py | 7,794 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "read.read_vcf",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "tools.get_smaller_pair_kmer",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "read.read_vcf... |
4991495509 | #!/usr/bin/python3
# enable debugging
import cgi, cgitb
import json
import requests
import responses
cgitb.enable()
class Expense:
def __init__(self, exp_name,exp_date,exp_amount,exp_type):
self.name = exp_name
self.date = exp_date
self.amount = exp_amount
self.type = exp_type... | eliz-liu/money_site_html | form.py | form.py | py | 795 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cgitb.enable",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cgi.FieldStorage",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 25,
"usage_type": "call"
}
] |
5200586519 | """
This module contains the main transmittance/reflectance calculation
bits.
Users can run the calculations through `model.Model()` and avoid
accessing `core` directly.
"""
import numpy as np
import scipy as sp
def rt_amp(index, delta, theta, pol):
"""Calculate the reflected and transmitted amplitudes through t... | anadolski/armmwave | armmwave/core.py | core.py | py | 13,897 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.dot",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 67,
... |
70994878268 | # -*- coding: utf-8 -*-
import PySide2.QtWidgets as qtwidgets
import PySide2.QtCore as qtcore
import PySide2.QtGui as qtgui
import PySide2.QtNetwork as qtnetwork
import os.path
import signal
import socket
class HButtonBar(qtwidgets.QWidget):
layout=qtwidgets.QHBoxLayout
def __init__(self,def_list):
... | chiara-paci/djvueditor | lib/python/djvuedlib/widgets.py | widgets.py | py | 9,581 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PySide2.QtWidgets.QWidget",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "PySide2.QtWidgets",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PySide2.QtWidgets.QHBoxLayout",
"line_number": 14,
"usage_type": "attribute"
},
{
... |
36484764773 | import cv2
import glob
from matplotlib import pyplot as plt
faceDet = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
faceDet_two = cv2.CascadeClassifier("haarcascade_frontalface_alt2.xml")
faceDet_three = cv2.CascadeClassifier("haarcascade_frontalface_alt.xml")
faceDet_four = cv2.CascadeClassifier("... | dishavarshney9/uhack | classi.py | classi.py | py | 1,880 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.Ca... |
20841031996 | from sklearn.model_selection import train_test_split
from sklearn import svm
def svm_classification(X, y, C_in, gamma_in, kernel_in):
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, shuffle=y, random_state=42)
classifierSVM = svm.SVC(C=C_in, degree=2, gamma=gamma_in, kernel=kernel_in)... | mfaisalafandi/identification_teks_ulasan_svm | Klasifikasi.py | Klasifikasi.py | py | 566 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.svm.SVC",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.svm",
"line_number": 7,
"usage_type": "name"
}
] |
71474372027 | # Rotating or flipping an image
from PIL import Image
def main():
image = Image.open('../lenna.png')
image.show('Original')
# Rotate 60 degrees counter clockwise
rotated_image = image.rotate(60)
rotated_image.show('Rotate 60')
# Rotate using Image.transpose
# Transpose supports these val... | gkostadinov/py-pil-imageprocessing | 1-transformations/2.rotate.py | 2.rotate.py | py | 837 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PIL.Image.ROTATE_90",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line... |
43536088674 | import re
import math
import scipy.stats as stats
from statsmodels.stats.multitest import multipletests
import numpy as np
import pandas as pd
from tqdm import tqdm
# import functools
import pprint
from mutagene.dna import (
nucleotides, complementary_nucleotide,
bases_dict,
# comp_dict,
extended_nucl... | neksa/mutagene | mutagene/motifs/__init__.py | __init__.py | py | 17,419 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "mutagene.io.motifs.get_known_motifs",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 58,
"usage_type": "attribute"
},
{
"api_name... |
8502338250 | import torch
import torch.nn as nn
from Descriptor import Descriptor
from Recovery_Submodule import R_t, Pyramid_maxout
class TR(nn.Module):
# translucency recovery(TR) module
def __init__(self, input_channel=3, beta=4, gamma=4):
super(TR, self).__init__()
self.D_t = Descriptor(input_channel, ... | linYDTHU/DesnowNet_Context-Aware_Deep_Network_for_Snow_Removal | network/DesnowNet.py | DesnowNet.py | py | 3,956 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "Descriptor.Descriptor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Recovery_Submodule.... |
35226084140 | from __future__ import division
# Our Backend for the App!
# Built with Flask
# Import Flask
import flask
import requests
import os
from flask import send_file
import re
import sys
# Create the application
app = flask.Flask(__name__)
# serving home.html
@app.route('/', methods=['GET'])
def serve_page():
return ... | manichandra95151/TTSL | main.py | main.py | py | 4,265 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "flask.render_tem... |
24312665302 | from langdetect import detect
def to_sentences(text):
text = text.replace("\n", " ")
sentences = [s + '.' for s in text.split(".") if s != ""]
return sentences
def divide(text, input_size=5000):
"""
Divide text into chunks of input_size
Args:
text (str): Text to be divided
in... | hyunooss/SSUmmary | django-server/ssummary_site/modules/utils.py | utils.py | py | 788 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "langdetect.detect",
"line_number": 18,
"usage_type": "call"
}
] |
22807898242 | # coding: utf8
"""锁Lock 用于避免进程间对shared memory的争夺"""
import multiprocessing
import time
def job(val, num, lo):
lo.acquire() # 取得锁
for _ in range(10):
time.sleep(0.1)
val.value += num
print(val.value)
lo.release() # 释放锁
def multicore():
lo = multiprocessing.... | sola1121/practice_code | python3/对于异步的例子/multiprocessing/6 multiprocessing lock锁.py | 6 multiprocessing lock锁.py | py | 752 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.sleep",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Lock",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Value",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "multiprocessing... |
29074159051 | from RepSys import Error, config
from RepSys.util import execcmd
from RepSys.VCS import *
from os.path import basename, dirname
from os import chdir, getcwd
import sys
import re
import time
from xml.etree import cElementTree as ElementTree
import subprocess
class GITLogEntry(VCSLogEntry):
def __init__(self, revisi... | mdkcauldron/proyvinds-repsys | RepSys/git.py | git.py | py | 2,133 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "RepSys.config.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "RepSys.config",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "RepSys.util.execcmd",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "xml.etree.cElemen... |
7422093495 | from operator import add
from itertools import chain, combinations
from functools import reduce
import math
import numpy as np
from scipy import ndimage
from tkinter import *
class GF2(object):
def __init__(self, a=0):
self.value = int(a) & 1
def __add__(self, rhs):
return GF2(self.val... | ThaumielSparrow/switch-solver | lights_on.py | lights_on.py | py | 6,138 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.vectorize",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.hstack",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "numpy.eye",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "numpy.int_",
"line_number"... |
45375013026 | """
include packages
"""
from settings import *
import sqlite3
import discord
from discord import app_commands
import sys
import signal
import deepl
from typing import Optional
from lib import vote as vt
from lib import deepl as dl
"""
Global variables
"""
connection : sqlite3.Connection = sqlite3.connect(D... | GrapeJuicer/GrapeBot | app/main.py | main.py | py | 3,637 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.Connection",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "discord.Intents",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "discord.... |
18801853357 | import pytest
from base.client_base import TestcaseBase
from common import common_func as cf
from common import common_type as ct
from common.common_type import CaseLabel
from utils.util_log import test_log as log
# customer rg
rg_name_0 = "RG_0"
rg_name_1 = "RG_1"
# coll name
coll_name_1 = "ResourceGroup_111"
coll_... | milvus-io/milvus | tests/python_client/chaos/testcases/test_chaos_resource_group.py | test_chaos_resource_group.py | py | 9,886 | python | en | code | 24,190 | github-code | 6 | [
{
"api_name": "common.common_type.default_resource_group_name",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "common.common_type",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "common.common_type.default_resource_group_capacity",
"line_number": 22... |
24091654897 |
from Film import Film
from Forgalmazo import Forgalmazo
import datetime
def fajl_beolvas():
filmek = []
fp = open('nyitohetvege.txt', 'r', encoding='utf-8')
lines = fp.readlines()
fp.close()
for line in lines[1:]:
n_line = line.rstrip()
(eredetiCim, magyarCim,bemutato,forgalmazo,
... | janos01/esti2020Python | gyakorlo/Nyito/src/OpeningWeekend.py | OpeningWeekend.py | py | 3,940 | python | hu | code | 0 | github-code | 6 | [
{
"api_name": "Film.Film",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "Forgalmazo.Forgalmazo",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "datetime.date.fromisoformat",
"line_number": 116,
"usage_type": "call"
},
{
"api_name": "datetime... |
71119888509 | import matplotlib.pyplot as plt
import numpy as np
# ~~~ DEFINE DATA ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
np.random.seed(1337)
n = 1000000
x = np.random.standard_normal(n)
y = x + .5 * np.random.standard_normal(n)
hist, xedges, yedges = np.histogram2d(x, y, bins=100, density=True)
hist[hist =... | braniii/prettypyplot | gallery/comparison_mpl.py | comparison_mpl.py | py | 1,505 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.standard_normal",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.r... |
19788096058 | from typing import TYPE_CHECKING, Any, Dict, Optional, Tuple
from uuid import uuid4
import pygame
from .clock import Clock, clock
from .keyboard import Keyboard
from .screen import Screen
from .utils.event_dispatcher import EventDispatcher
if TYPE_CHECKING:
from .application import Application
class Scene(Even... | kdeyev/pgz | pgz/scene.py | scene.py | py | 9,429 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "utils.event_dispatcher.EventDispatcher",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 126,
"usage_type": "name"
},
{
"api_... |
20519832620 | """!
@brief CCORE Wrapper for X-Means algorithm.
@authors Andrei Novikov (pyclustering@yandex.ru)
@date 2014-2020
@copyright BSD-3-Clause
"""
from ctypes import c_double, c_longlong, c_size_t, c_uint, POINTER
from pyclustering.core.wrapper import ccore_library
from pyclustering.core.pyclustering_pac... | annoviko/pyclustering | pyclustering/core/xmeans_wrapper.py | xmeans_wrapper.py | py | 1,207 | python | en | code | 1,113 | github-code | 6 | [
{
"api_name": "pyclustering.core.pyclustering_package.package_builder",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "ctypes.c_double",
"line_number": 20,
"usage_type": "argument"
},
{
"api_name": "pyclustering.core.pyclustering_package.package_builder",
"line_num... |
7176111759 | #!/usr/bin/env python3
import os
import sys
import re
from pathlib import Path
def _find_files(project_root):
path_exclude_pattern = r"\.git($|\/)|venv|_build|\.tox"
file_exclude_pattern = r"fill_template_vars\.py|\.swp$"
filepaths = []
for dir_path, _dir_names, file_names in os.walk(project_root):
... | ethereum/py-evm | .project-template/fill_template_vars.py | fill_template_vars.py | py | 2,362 | python | en | code | 2,109 | github-code | 6 | [
{
"api_name": "os.walk",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 17,
... |
44083632675 | import gzip
import inspect
import os
from io import StringIO
from typing import Optional, List
import numpy as np
import pandas as pd
def time_map(time_a: float, time_b: float, packet_a: int, packet_b: int, time_c: int, window_tolerance: int = 0) -> \
Optional[float]:
"""
Map an API time into a packet number.
T... | llmhyy/malware-traffic | Experiments/exp16_visualisation/api_extraction.py | api_extraction.py | py | 7,970 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "typing.Optional",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 77,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
... |
39626332335 | import numpy as np
from flask import Flask, request, render_template
import pickle
app = Flask(__name__)
model = pickle.load(open('model.pkl', 'rb'))
@app.route('/')
def home():
return render_template("index.html")
@app.route('/predict',methods=['POST'])
def predict():
label = ""
sepallength = re... | Karthicksaga/IRIS | app.py | app.py | py | 938 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
... |
10422721293 | from __future__ import annotations
from enum import Enum
from typing import TYPE_CHECKING, Any, TypeVar
if TYPE_CHECKING:
from collections.abc import Iterator
T = TypeVar("T", bound=Enum)
def iterate_enum(enum_class: type[T]) -> Iterator[T]:
assert issubclass(enum_class, Enum)
yield from enum_class
d... | randovania/randovania | randovania/lib/enum_lib.py | enum_lib.py | py | 739 | python | en | code | 165 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.TypeVar",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_numb... |
32043413373 | import getpass
import datetime
import urllib, urllib.request
import os, sys
from random import randint
from shutil import copyfileobj
from html.parser import HTMLParser
#Time, Right Now.
now = datetime.datetime.now()
#Get local username
UserName = getpass.getuser()
#Define End-Of-Script Quit-Action
def quitting_time... | milesnielsen/DownloadEpisodesTAL | TAL_Epi_Download.py | TAL_Epi_Download.py | py | 13,624 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "getpass.getuser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.exit... |
19209409927 | import re
import nltk
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
# Dictionary mapping word contractions to their full words
contractions = {
"ain't": "are not","'s":" is","aren't": "are not",
"can't": "cannot","can't've": "canno... | kelvinchumbe/Hotel-Review-Mining-and-Web-App | Hotel Review Mining/Web App Deployment/api/preprocessing_utils.py | preprocessing_utils.py | py | 4,650 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "nltk.stem.WordNetLemmatizer",
"line_number": 60,
"usage_type": "call"
},
{
"api... |
71281284349 | # mysql 테이블 생성 및 데이터 추가
import pandas as pd
import pymysql
xl_file = '/Users/JaehoByun/JB/_School/2021_2 데이터사이언스/과제및시험/score.xlsx'
df = pd.read_excel(xl_file)
conn = pymysql.connect(host='localhost', user='root', password='chunjay606', db='data_science')
curs = conn.cursor(pymysql.cursors.DictCursor)
... | bjho606/python_school-data-science | score_assignment2.py | score_assignment2.py | py | 1,130 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_excel",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 9,
"usage_type": "attribute"
}
] |
17635143913 | from collections import Counter
import pandas as pd
def transform(new_subjects):
list_keys = list(Counter(new_subjects).keys())
list_values = list(Counter(new_subjects).values())
df_keys = pd.DataFrame(list_keys, columns=['subject'])
df_values = pd.DataFrame(list_values, columns=['frequency'])
df... | ThomasKranz/arxiv_ETL | src/transformer.py | transformer.py | py | 526 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.DataFram... |
17650565567 | import nltk
from newspaper import Article
# nltk.download('punkt') is a Python command that is used to download the "punkt" dataset or resource from the Natural Language Toolkit (NLTK) library.
# NLTK is a popular library in Python for working with human language data, including tasks like tokenization, parsing, and... | AnukulSri/summarize-news-article | news.py | news.py | py | 1,033 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.download",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "newspaper.Article",
"line_number": 12,
"usage_type": "call"
}
] |
32259974513 | ### SPDX-License-Identifier: GPL-2.0-or-later
"""Parse phc2sys log messages"""
import re
from collections import namedtuple
from .parser import (Parser, parse_decimal)
class TimeErrorParser(Parser):
"""Parse time error from a phc2sys log message"""
id_ = 'phc2sys/time-error'
elems = ('timestamp', 'terr... | redhat-partner-solutions/vse-sync-pp | src/vse_sync_pp/parsers/phc2sys.py | phc2sys.py | py | 1,846 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "parser.Parser",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "collections.namedtuple",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "parser.parse_decimal"... |
75275385466 | from datetime import datetime
from time import process_time
# file = open(address, mood)
# with open('oi.txt', 'r', encoding='utf-8') as file:
# content = file.read()
# print(content)
with open('log.txt', 'w', encoding='utf-8') as file:
file.write('Horários de log dos funcionários')
# with open('log... | ewertonpereira/python | test/testing.py | testing.py | py | 1,302 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "time.process_time",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "time.proces... |
38435402089 | import json
import pandas
def read_json(filename: list) -> dict:
try:
with open(filename, "r") as f:
data = json.loads(f.read())
except:
raise Exception(f"Reading {filename} file encountered an error")
return data
def create_dataframe(data: str) -> pandas.Dat... | PrasadWakle/jsontocsv | jsontocsv.py | jsontocsv.py | py | 2,340 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.json_normalize",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.json_normaliz... |
11464353853 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jun 7 13:18:01 2022
@author: sampasmann
"""
import time
import numpy as np
from mpi4py import MPI
from src.functions.save_data import SaveData
from src.solvers.fixed_source.solvers import Picard
from src.solvers.eigenvalue.maps import MatVec_data, MatV... | spasmann/iQMC | src/solvers/eigenvalue/solvers.py | solvers.py | py | 14,940 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.linalg.norm",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI.COMM_WORLD",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "mpi4py... |
27315049620 | import facebook
from wordcloud import WordCloud, STOPWORDS
import matplotlib.pyplot as plt
import random
token='EAACEdEose0cBAHYBMbXyW9HwyJJIeCFBaWXEcLjsp3N0vB5HZApZCxqm7KQvVxb4fgF2ZA8nh625ZBJR3NzCMGc3ApU1MyZCYBwVF85LWxqdaEdt3cNVaS0y9CYsY4DDUjGcUeDZB0TMZBJwqdEBCZBClU00PeeMqnWmMpZCWCUFGmp12hZBZA3mLilYc45... | aparnamnn/ACM-Project | wordclouds.py | wordclouds.py | py | 1,101 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "facebook.GraphAPI",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "wordcloud.WordCloud",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "matplo... |
35510723799 | # Experiment 24 - Tile Movement
#
# By Chris Herborth (https://github.com/Taffer)
# MIT license, see LICENSE.md for details.
import base64
import os
import pygame
import pygame.freetype
import pygame.gfxdraw
import struct
import sys
import time
import zlib
from xml.etree import ElementTree
SCREEN_TITLE = 'Experiment... | Taffer/pygame-experiments | 24-tile-movement/main.py | main.py | py | 14,875 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pygame.Color",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pygame.Color",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.Color",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.parse",
... |
4159403258 | import math
import random
import vector3
from rtweekend import random_double
import multiprocessing
from multiprocessing import Process, Array
from ctypes import c_char_p
from color import write_color
from vector3 import vec3, random_in_hemisphere
from ray import ray
import rtweekend
from hittable import hit_record
f... | mk2510/ray_tracing_project | raytracing_in_a_weekend/main.py | main.py | py | 4,391 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "vector3.vec3",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "color.write_color",
"lin... |
39485957424 | """Модуль базы данных хранящей пользователей и их историю"""
import datetime as dt
from typing import Optional
import enum
from functools import cached_property
import sqlalchemy as sa
from sqlalchemy import create_engine, select, ForeignKey
from sqlalchemy.orm import (
Session,
DeclarativeBase,
Mapped,
... | DemidovEvg/async_chat | src/nano_async_chat/async_chat/server/db.py | db.py | py | 4,316 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.sessionmaker",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.DeclarativeBase",
"line_number": 25,
"usage_type": "name"
},
{
... |
8947958268 | from django.db import models
import ast
class ListField(models.TextField):
__metaclass__ = models.SubfieldBase
description = "Stores a python list"
def __init__(self, *args, **kwargs):
super(ListField, self).__init__(*args, **kwargs)
def to_python(self, value):
if not value:
... | epkugelmass/USG-srv-dev | tigerapps/wintersession/models.py | models.py | py | 3,678 | python | en | code | null | github-code | 6 | [
{
"api_name": "django.db.models.TextField",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.SubfieldBase",
"line_number": 5,
"usage_type": "attribute"
},
{
"... |
70439517629 | import pyautogui
import cv2 as cv
import numpy as np
import keyboard
import time
from math import sqrt
from PIL import ImageGrab
import win32api, win32con
# https://stackoverflow.com/questions/5906693/how-to-reduce-the-number-of-colors-in-an-image-with-opencv
def kmeans_color_quantization(image, clusters=8, rounds=1):... | JirkaKlimes/gartic.io_bot | main.py | main.py | py | 5,990 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "cv2.kmeans",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.TERM_CRITERIA_EPS",
... |
21253145382 | from django.shortcuts import render
from django.views.generic import View #导入View
from django.http import HttpResponse
from django.http import HttpResponseRedirect
from wanwenyc.settings import DJANGO_SERVER_YUMING,MEDIA_ROOT
from .models import RdmAutoStatic,RdmStatic,RdmConfig
# Create your views here.
#根据数据库内容自动... | wawj901124/shangbaogongju | apps/reportdatas/views.py | views.py | py | 4,480 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.RdmAutoStatic.objects.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.RdmAutoStatic.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "models.RdmAutoStatic",
"line_number": 12,
"usage_type": "name"
},
... |
39795452637 | # coding=utf-8
import requests
import re
import execjs
import json
from bs4 import BeautifulSoup
import smtplib
from email.mime.text import MIMEText
from email.utils import formataddr
sendAddress = ''
emailPsw = ''
receiveAddress = ''
username = ''
psw = ''
def loadConfig():
with open('config.json', 'r', encodin... | mawangdan/XMUDaliyReport | src/main.py | main.py | py | 6,736 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "email.mime.text.MIMEText",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "email.utils.formataddr",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "email.util... |
17977750270 | import asyncio
import pickle
import unittest
from typing import AbstractSet, Any, Mapping, Sequence, Union
from testing.types import (
Digits,
I32List,
Integers,
SetI32,
StringBucket,
StrStrMap,
easy,
hard,
)
from thrift.py3.common import Protocol
from thrift.py3.exceptions import Error... | WeilerWebServices/Facebook | fbthrift/thrift/lib/py3/test/serializer.py | serializer.py | py | 8,534 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "testing.types.easy",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "thrift.py3.serializer.serialize_with_header",
"line_number": 34,
"usage_type": "call"
},
{
... |
31132813401 | from abc import ABC
from collections import OrderedDict, defaultdict
import torch
import torch.nn.functional as F
from torch import flatten
from torch.nn import Module, Conv2d, Dropout, Linear, BatchNorm2d, ReLU, Sequential, MaxPool2d
from torch.optim import Optimizer
from torch.optim.lr_scheduler import LRScheduler
f... | bnwiran/tinyml-benchmark | models/models.py | models.py | py | 4,749 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "abc.ABC",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torch.optim.Optimizer",
"line_number": 23,
"usage_type": "argument"
},
{
"api_name": "torch.optim.lr_sche... |
16586269759 | from flask import Blueprint, render_template
from app.models import Post
home = Blueprint('home', __name__)
@home.route('/')
def index():
posts = Post.query.filter_by(published=True).all()
return render_template('home/index.html', posts=posts)
| rg3915/flask-masterclass | app/blueprints/home_blueprint.py | home_blueprint.py | py | 256 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "app.models.Post.query.filter_by",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "app.models.Post.query",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_nam... |
9411671299 | from django.urls import path
from . import views as blog_views
# import users.views as user_views
from .views import (
PostListView,
PostDetailView,
PostCreateView,
PostUpdateView,
PostDeleteView,
UserPostListView
)
urlpatterns = [
path('', PostListView.as_view(), name='blog-home'),
... | Coniferish/djangoTutorial | blog/urls.py | urls.py | py | 935 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "views.PostListView.as_view",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "views.PostListView",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django... |
30085050335 | from django.shortcuts import render
from django.http import JsonResponse
from category.models import Category
# Create your views here.
def jsons(data = None, errorCode = 0, cookies = ''):
if data is None:
data = []
return JsonResponse({'errorCode': errorCode, 'data': data, 'cookies': cookies})
d... | jeremyytann/BUAA-SE-LetStudy | Code/backend/category/views.py | views.py | py | 456 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.http.JsonResponse",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "category.models.Category.objects.all",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "category.models.Category.objects",
"line_number": 13,
"usage_type": "attrib... |
21424331672 | '''
1. Парсер однопоточный.
2. Замер времени
3. Multiprocessing Pool
4. Замер времени
5. Экспорт в csv
'''
import requests
from bs4 import BeautifulSoup
from datetime import datetime
from multiprocessing import Pool
import csv
import time
def get_html(url):
r = requests.get(url) # Response
re... | DexterAkaGrich/potential-couscous | first_meet.py | first_meet.py | py | 1,849 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"li... |
29579809040 | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 7 11:04:13 2018
@author: Akitaka
"""
# 1：ライブラリのインポート--------------------------------
import numpy as np #numpyという行列などを扱うライブラリを利用
import pandas as pd #pandasというデータ分析ライブラリを利用
import matplotlib.pyplot as plt #プロット用のライブラリを利用
from sklearn import linear_model, metr... | nakanishi-akitaka/python2018_backup | 1207/ml2b.py | ml2b.py | py | 3,157 | python | ja | code | 5 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randn",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random",... |
8629709747 | from flask import Flask,request
app = Flask(__name__)
@app.route('/')
def home():
return "Bem-Vindo"
@app.route('/calculo')
def add():
a = 10
b = 10
return str(a+b)
if __name__ == '__main__':
app.run()
| kaibernu/MLDeploy | API.py | API.py | py | 231 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
}
] |
39290687517 | #!/usr/bin/env python2
from __future__ import print_function
from Bio import SeqIO
import sys, vcf, getopt
__author__ = 'Kumar'
sample_number = int(0)
vcf_file = ''
a = int(0)
x = int(0)
n = int(0)
position = int(0)
fold = int()
try:
myopts, args = getopt.getopt(sys.argv[1:],"f:s:")
for o, a in myopts:
if o == ... | kumarsaurabh20/NGShelper | PopulationGenomics/vcf2sf.py | vcf2sf.py | py | 1,109 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "getopt.getopt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "getopt.GetoptError",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"l... |
71361812987 | import sys
import mysql.connector
from awsglue.utils import getResolvedOptions
params = [
'db_host',
'db_port',
'db_user',
'db_password',
'db_database',
'ticket_id_to_be_updated'
]
args = getResolvedOptions(sys.argv, params)
cnx = mysql.connector.connect(
host=args['db_host'],
port=ar... | bhavik161/studio | rds/rds_upsert_data.py | rds_upsert_data.py | py | 1,200 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "awsglue.utils.getResolvedOptions",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector.connector.connect",
"line_number": 16,
"usage_type": "call"
},
{
"... |
22020962951 | from pathlib import Path
import matplotlib.pyplot as plt
import pandas as pd
import rich
import seaborn as sns
import typer
from boiling_learning.app.configuration import configure
from boiling_learning.app.datasets.bridged.boiling1d import DEFAULT_BOILING_OUTLIER_FILTER
from boiling_learning.app.datasets.preprocesse... | ruancomelli/boiling-learning | boiling_learning/app/studies/data_split.py | data_split.py | py | 2,677 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "typer.Typer",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "rich.console.Console",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "rich.console",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "boiling_learning.a... |
22400150737 | from PyQt5.QtWidgets import *
from PyQt5.QtCore import pyqtSignal, pyqtSlot, QModelIndex,QItemSelectionModel
from diz import *
import sys
from BD import Orm
from dialog import Dialog
from dizain1_2 import TwoWindow
from dialog2 import Dialog2
bd = Orm()
class InputDialog(QtWidgets.QDialog):
def __init__(self, ro... | Vorlogg/BD | dizain.py | dizain.py | py | 5,829 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "BD.Orm",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dialog.Dialog",
"line_number": 103,
"usage_type": "call"
},
{
"api_name": "dialog2.Dialog2",
"line_number": 119,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.QModelIndex",
... |
71365190588 | import torch
from torchvision import transforms
from torch.autograd import Variable
from dataset import DatasetFromFolder
from model import Generator
import utils
import argparse
import os
parser = argparse.ArgumentParser()
parser.add_argument('--dataset', required=False, default='facades', help='input dataset')
parse... | togheppi/pix2pix | pix2pix_test.py | pix2pix_test.py | py | 2,081 | python | en | code | 46 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"l... |
40319402697 | from ansible.module_utils.basic import AnsibleModule
from ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.api import \
Session
from ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.cls import GeneralModule
class General(GeneralModule):
CMDS = {
'set': 'set',
... | ansibleguy/collection_opnsense | plugins/module_utils/main/frr_bgp_general.py | frr_bgp_general.py | py | 1,066 | python | en | code | 158 | github-code | 6 | [
{
"api_name": "ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.cls.GeneralModule",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "ansible.module_utils.basic.AnsibleModule",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "ansible_collections.a... |
20861131743 | import requests
import os
import wget
import subprocess
def update_mindustry():
global response
global be_wrapper
global current_build
download_url = "https://github.com/Anuken/MindustryBuilds/releases/download/" + str(current_build)
download_url = download_url + "/Mindustry-BE-Desktop-" + str(cu... | ILiekMelons/MindustryBELauncher | main.py | main.py | py | 1,958 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.system",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "wget.download",
"line_number"... |
20656199478 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Create a Milo input file from a frequency calculation.
It must be a Gaussian 09 or 16 high-precision frequency calculation. You
request this with '# freq=(hpmodes) ... '.
"""
import argparse
import sys
from milo_1_0_3 import atom
from milo_1_0_3 import containers
fr... | DanielEss-lab/milo | milo_1_0_3/tools/parse_frequencies.py | parse_frequencies.py | py | 13,885 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "argparse.Fil... |
19250997206 | import numpy as np
import cv2
from matplotlib import pyplot as plt
def SI(img, x, y, p):
val = np.sum(img[y-p:y+p, x-p:x+p])
return min(max(val, 0), 255)
#Read grayscale image and conversion to float64
img=np.float64(cv2.imread('../Image_Pairs/FlowerGarden2.png',0))
(h,w) = img.shape
print("Image dimension:"... | gpspelle/image-mining | TP1/TP_Features_OpenCV/modified_Convolutions.py | modified_Convolutions.py | py | 2,273 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.sum",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.getTickCount",
"line_number... |
32544533358 | import json
import glob
from flask import Flask , send_file
import os
from flask_cors import CORS
app = Flask (__name__)
cors = CORS(app)
@app.route('/')
def DownloadMergedJson() -> str:
result = {}
logs = {}
node_ids =[]
for f in glob.glob(os.path.join("..", "history_*.json")):
print(str(f))
... | SiyiGuo/COMP90020 | pythonproxy/getNodeData.py | getNodeData.py | py | 648 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number":... |
33874326793 | # 507/206 Homework 6 Part 2
import requests
from bs4 import BeautifulSoup
#### Part 2 ####
print('\n*********** PART 2 ***********')
print('Michigan Daily -- MOST READ\n')
### Your Part 2 solution goes here
html = requests.get('https://www.michigandaily.com/').text
soup = BeautifulSoup(html, 'html.parser')
# searc... | xckou/SI507-HW06-xckou | hw6_part2.py | hw6_part2.py | py | 762 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 13,
"usage_type": "call"
}
] |
25144954100 | import requests
import collections
import csv
from bs4 import BeautifulSoup
from bs4.element import Tag
class ParseAnimals:
def __init__(self) -> None:
self.animals_names = {}
def parse(self) -> None:
"""
Make a while loop until calegory letter != Я
Saves each animal ... | enamsaraev/tetrika-test | task2/solution.py | solution.py | py | 2,239 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "bs4.element.Tag",
... |
33273926923 | from PDBParseBase import PDBParserBase #get_site_header_seq_info
import time, os,datetime,logging,gzip,pickle #get_site_header_seq_info
def mkdir(path):
#Created uncompress path folder
isExists=os.path.exists(path)
if not isExists:
os.makedirs(path)
print(path + " Created folder suce... | Rio56/deeplearning | DTP_deeplearning/0618_新数据处理代码及文件/drug_target_data_0617.py | drug_target_data_0617.py | py | 15,010 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PDBParseBase.PDBParserBase",
... |
20677953442 | from django.test import TestCase
from django.urls import reverse
from apps.shop.models import Product
from apps.users.models import CustomUser
from .models import Order
test_order = {"name": "Django Django", "email": "django@django.some", "paid": True}
test_product = {
"name": "Test Product",
"abbr": "TEPR"... | akundev/akundotdev | apps/orders/tests.py | tests.py | py | 2,822 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "models.Order.objects.create",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "models.Order.objects",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_na... |
24363848040 | # This script should be executed inside a NetAddiction Odoo 9 shell.
import json
def remove_duplicate_attributes(product):
seen_ids = set()
duplicate_list = []
for attr in product.attribute_value_ids:
if attr.attribute_id.id not in seen_ids:
seen_ids.add(attr.attribute_id.id)
... | suningwz/netaddiction_addons | scripts/remove_duplicates_attribute.py | remove_duplicates_attribute.py | py | 1,150 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.dump",
"line_number": 37,
"usage_type": "call"
}
] |
44938119316 | import numpy as np
import redis
import struct
import cv2
import time
import curved_paths_coords as pc
from threading import Thread
r = redis.Redis(host='192.168.0.101', port=6379, db=0)
log_sensing_running =\
log_navigation_running =\
log_batterymeter_running =\
log_driving_running =\
log_detect_cam =\
voltages1_and_2... | julianx4/skippycar | test.py | test.py | py | 8,784 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "redis.Redis",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "numpy.full",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
... |
73264679548 | from pyglet.text import Label
from audio import explosion
from fonts.fonts import press_start_2p
from interfaces.interface import Interface
from system import system
import menus.menu
import menus.game_over_menu
class GameOverInterface(Interface):
game_over_label: Label = None
game_over_menu: menus.menu.Men... | KimPalao/Headshot | interfaces/game_over_interface.py | game_over_interface.py | py | 1,110 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "interfaces.interface.Interface",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pyglet.text.Label",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "menus.menu.menu",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": ... |
2600836089 | # Import thư viện
from sklearn.linear_model import LinearRegression
import numpy as np
import csv
from vnstock import*
data=[]
cp=listing_companies()
check='ngân hàng thương mại cổ phần'
nh=[]
for n in range(len(cp)):
if check in cp.loc[n][2].lower():
nh.append(cp.loc[n][0])
print(len(nh))
for ticket in nh:... | vanvy102/code | Code-test/linear.py | linear.py | py | 1,070 | python | vi | code | 0 | github-code | 6 | [
{
"api_name": "csv.reader",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 37,
"usage_type": "call"
}
] |
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