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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2841468959 | from PyQt5.QtCore import QObject
from model.ConfigParser.ConfigParserPostToGroup.ConfigParserPostToGroup import ConfigParser
from model.ActionsDelayer.ActionDelayer import ActionDelayer
from model.ConfigParser.ConfigContainerPostToGroup.ConfigContainerPostToGroup import ConfigContainerPostToGroup
from model.SplashS... | SokolnikSergey/VkPoster | model/Start/Starter.py | Starter.py | py | 14,228 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "PyQt5.QtCore.QObject",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.timestamp",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "da... |
73126982441 | # Import libraries
from google.cloud import vision
import io
import os
# Instantiates a client
client = vision.ImageAnnotatorClient()
# Loads the image from local
source_image = "images/street.jpg"
with io.open(source_image, "rb") as image_file:
content = image_file.read()
image = vision.Image(content=content)
#... | elmoallistair/googleapis-python | vision/detect_label.py | detect_label.py | py | 888 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "google.cloud.vision.ImageAnnotatorClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "google.cloud.vision",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "io.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "go... |
22781424738 | import torch.nn as nn
class eca_layer(nn.Module):
"""Constructs a ECA module.
Args:
channel: Number of channels of the input feature map
k_size: Adaptive selection of kernel size
"""
def __init__(self, channel, k_size=3):
super(eca_layer, self).__init__()
self.avg_poo... | c123456y/pytorch-inpainting | utilatten/attention.py | attention.py | py | 3,005 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.AdaptiveAvgPool2d",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
... |
29435468009 | import matplotlib.pyplot as plt
from pylab import rcParams
import numpy as np
class Plot:
def __init__(self):
self.temp_c = "skyblue"
self.sunlight_c = "khaki"
self.greenhouse_temp_c = "mediumspringgreen"
self.heating_c = "red"
self.ventilation_c = "blue"
self.max_... | aronbencsiknu/KV6002_RL-BEMS | python_code/plot.py | plot.py | py | 3,327 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pylab.rcParams",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "matplotlib.py... |
5314644033 | import random
import geohash
import route
# A function to randomly select k items from stream[0..n-1].
def selectKItems(numPoints, numPointsToSample):
# reservoir[] is the output array. Initialize it with
# first k elements from stream[]
reservoir = range(numPointsToSample)
# Iterate from the (k+1)th elemen... | EmmanuelBoidot/geosign | geomUtils.py | geomUtils.py | py | 1,205 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.randrange",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "geohash.decode",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "geohash.decode",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "route.Location",
"... |
25465068266 | import weakref
from numbers import Integral
import numpy as np
from mygrad._utils import SkipGradient
from mygrad.operation_base import Operation
from mygrad.tensor_base import Tensor
try:
from numba import njit, vectorize
except ImportError: # pragma: no cover
raise ImportError(
"The package `numba... | rsokl/MyGrad | src/mygrad/nnet/layers/gru.py | gru.py | py | 18,148 | python | en | code | 181 | github-code | 18 | [
{
"api_name": "numpy.exp",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numba.vectorize",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numba.vectorize",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numba.vectorize",
"line... |
7475679817 | import numpy as np
from sklearn.compose import ColumnTransformer
from sklearn.impute import SimpleImputer
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import OneHotEncoder, MinMaxScaler
from .custom_transforms import MedianScaler, DropColumns
def build_pipeline() -> Pipeline:
transformer = Co... | made-ml-in-prod-2021/lenaso | ml_project/transform_pipelines/sample_pipeline.py | sample_pipeline.py | py | 1,291 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sklearn.compose.ColumnTransformer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.pipeline.Pipeline",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.impute.SimpleImputer",
"line_number": 19,
"usage_type": "call"
},
... |
8649687275 | import sys
sys.path.append('../../')
import numpy as np
import nnabla as nn
import nnabla.functions as F
import nnabla.parametric_functions as PF
import nnabla.solvers as S
import nnabla.monitor as M
from nnabla.experimental.trainers import Trainer
from nnabla.experimental.trainers import Updater
from nnabla.experim... | minatosato/nlp-nnabla | word-embeddings/glove/train.py | train.py | py | 5,025 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "nnabla.ext_utils.... |
37027271996 | from collections import OrderedDict
from os import getcwd
from yaml import load
with open("tokens.yaml", 'r') as yaml_file:
_tokens = load(yaml_file)['tokens']
# Basic:
TELEGRAM_TOKEN = _tokens['telegram']
ENDPOINTS = OrderedDict(sorted({
"1) /start": "Welcome message",
"2) /help": "List of a valid comm... | amarusyak/Telegram-Bot | config.py | config.py | py | 1,069 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "yaml.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 24,
"usage_type": "call"
}
] |
26931118271 | """Settings Module
functions behind the settings window ui-elements
"""
import logging
import logging.config
from PyQt5.QtCore import pyqtSlot as Slot # ui elements communication
import os.path
import os
import configparser
import sys
import client
sys.path.append('../client')
import backend
import client_functions
d... | alessacher/htl-tk-chat | frontend/settings_functions.py | settings_functions.py | py | 5,325 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
72748466279 | import os
import sys
sys.path.insert(1,'./functions/')
import functions
from matplotlib import pyplot
import matplotlib as mpl
#Set Parameters
K = 3
max_iters = 16
# Load image (.png)
A = mpl.image.imread(os.path.join('images', 'image.png'))
# Divide by 255 to map values between 0 and 1
img = A / 255
... | srjeyasa/k-meansComp | compress.py | compress.py | py | 1,175 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.insert",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.image.imread",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.image"... |
6790364584 | import pandas as pd
import numpy as np
import sklearn.impute
import sklearn.model_selection
import sklearn.preprocessing
def drop_columns(df):
df.drop(columns = ['species_id', 'measurement_id'], inplace = True)
return df
def rename_columns(df):
df.rename(columns = {'species_name':'species'}, inplace = Tru... | noahmelngailis/ds-methodologies-exercises | classification/prepare.py | prepare.py | py | 3,183 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sklearn.impute.preprocessing.OneHotEncoder",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.impute.preprocessing",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sklearn.impute",
"line_number": 16,
"usage_type": "name"
}... |
23087379957 | import numpy as np
import torch.optim as optim
import torch.utils.data as Data
import os
from network import *
def standardization(data):
mu = np.mean(data, axis=0)
sigma = np.std(data, axis=0)
return (data - mu) / sigma
loss = torch.nn.MSELoss(reduction='mean')
BATCH_SIZE = 2000
learning_rate = 1e-... | ZeroAda/DeepSeparator | Exp7/train.py | train.py | py | 3,371 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.mean",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.optim.nn.MSELoss",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.optim.nn",
"lin... |
34212415569 | import io
from re import X
import sys
_INPUT = """\
3
1 2 3
"""
sys.stdin = io.StringIO(_INPUT)
N = int(input())
A = list(map(int, input().split()))
mod = 10**9 + 7
ans = 0
A_sum = sum(A)
for i in range(N):
A_sum -= A[i]
ans += A_sum * A[i]
print(ans % mod)
| kkchart9/atcoder | ABC/177_c.py | 177_c.py | py | 276 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.stdin",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
"line_number": 9,
"usage_type": "call"
}
] |
42155471856 | import random
import matplotlib.pyplot as plt
# Перемешиваем массив
def monty_hall_without_change(choices):
random.shuffle(choices)
return choices[random.randrange(len(choices))]
# Перемешиваем массив
def monty_hall_with_change(choices):
random.shuffle(choices)
# Первый выбор
first_c... | TalkoDenis/Probability_theory_and_statistics | Monty_hall_problem/Monty_Hall_Problem.py | Monty_Hall_Problem.py | py | 2,425 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "random.shuffle",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"... |
3619941514 | import torch
from .synth import SynthData
from .fscd import build as build_fscd
from .gmot import build as build_gmot
from .coco import build as build_coco
class JOINTFSCD(torch.utils.data.Dataset):
def __init__(self, args, datasets) -> None:
super().__init__()
self.datasets = datasets
sel... | thomasreolon/GMOTRv2 | datasets_old/joint2.py | joint2.py | py | 1,512 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.utils",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.rand",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "gmot.build",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "fscd.build",
"line_number":... |
74604734118 | import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report, confusion_matrix, f1_score
def create_model(image_size, num_classes):
base_model = tf.keras.applications.I... | varshan013/Bird-identifier-classifier | programs/model_edit_1.py | model_edit_1.py | py | 3,733 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tensorflow.keras.applications.InceptionV3",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.Sequential",
"line_number": 16,
"usage_type": "call"
},
... |
71266774439 | #!/usr/bin/env python3
#-*- coding: utf-8 -*-
#=======================================================================================
# Imports
#=======================================================================================
#==========================================================
#========================... | Aziroshin/bin | simplecryptopiascanner.py | simplecryptopiascanner.py | py | 13,109 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "os.path.expanduser",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "kivy.app",
"line_num... |
32474586806 | # Importing required packages
import streamlit as st
import openai
# Set the API key
openai.api_key = "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"
st.set_page_config(page_title="OpenAI Text Completion", page_icon=":guardsman:", layout="wide")
st.title("OpenAI Text Completion")
prompt = st.text_inp... | Piyushlamsoge/Openai-App | streamlit_app.py | streamlit_app.py | py | 541 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "openai.api_key",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "streamlit.set_page_config",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.... |
21762283358 | from atom import Atom
class Molecule:
"""이름과 원자 리스트를 갖는 분자"""
def __init__(self, name: str) -> None:
"""어떤 원자도 없는 name이라는 분자를 생성한다.
"""
self.name = name
self.atoms = []
def add(self, a: Atom) -> None:
"""a를 이 분자의 Atom 리스트에 추가한다.
"""
self.atoms.... | gilbutITbook/007016 | chap14/molecule.py | molecule.py | py | 1,851 | python | ko | code | 6 | github-code | 18 | [
{
"api_name": "atom.Atom",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "atom.translate",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "atom.Atom",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "atom.Atom",
"line_number": 55,... |
7742186286 | from urllib.request import Request, urlopen
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.firefox.options import Options
def paper_titles_for_id(person_id, selenium_path=None#"/usr/local/bin/geckodriver"
):
options = Options()
options.headless = ... | kmdn/RefBee | refbee/platforms/acm.py | acm.py | py | 896 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "selenium.webdriver.firefox.options.Options",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 14,
"usage_type": "name"
},
... |
27346244451 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division
import pytest
from psychopy.visual.window import Window
from psychopy.visual.slider import Slider
from psychopy.visual.grating import GratingStim
from psychopy.visual.elementarray import ElementArrayStim
from psychopy.visual.circle import ... | soheilbr82/BluegrassWorkingMemory | Python_Engine/Lib/site-packages/psychopy/tests/test_all_visual/test_slider.py | test_slider.py | py | 6,442 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "psychopy.visual.window.Window",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "psychopy.visual.slider.Slider",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "psychopy.visual.slider.Slider",
"line_number": 40,
"usage_type": "call"
},
... |
13226501696 | from utils.LogInitilizer import LogInitilizer
logger=LogInitilizer.getLogger()
class ElementsMeta:
__instance = False
__element=None
@staticmethod
def getElements():
if not ElementsMeta.__instance:
ElementsMeta.__element=dict()
ElementsMeta.__instance=True
retu... | ravindrab5/SeleniumPython | utils/FindLocator.py | FindLocator.py | py | 2,329 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "utils.LogInitilizer.LogInitilizer.getLogger",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "utils.LogInitilizer.LogInitilizer",
"line_number": 2,
"usage_type": "name"
}
] |
25963404311 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import datetime
from datetime import timezone
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Report',
fields=[... | MiiRaGe/miilibrary | mii_interface/migrations/0001_initial.py | 0001_initial.py | py | 745 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 15,
"usage_type": "call"
},
... |
7661932824 | import torch.nn as nn
import codebase.utils as ut
from codebase.models.nns.BBBLinear import BBBLinear
from codebase.models.nns.BBBRNN import BBBRNN
from torch.autograd import Variable
import torch
class BBBTimeSeriesPredModel(nn.Module):
"""
A time series prediction architecture with configurable input
an... | parachutel/bayes-by-backprop | codebase/models/BBBTimeSeriesPredModel.py | BBBTimeSeriesPredModel.py | py | 6,312 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.MSELoss",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_num... |
3853024632 | #!/usr/bin/env python
import pandas as pd
import numpy as np
import itertools as it
from pathlib import Path
from argparse import ArgumentParser
from scipy.sparse import csr_matrix, csc_matrix
from scipy.sparse.csgraph import maximum_bipartite_matching, min_weight_full_bipartite_matching
def select_armor(data, class... | babolins/destiny_armor_ranker | destiny_armor_ranker.py | destiny_armor_ranker.py | py | 8,998 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "numpy.arange",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "scipy.sparse.csr_matrix",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "scipy.sparse.csgraph.maximum_bipartite_matching",
"line_number": 58,
"usage_type": "call"
},
{
... |
8706680311 | """
Perform inference with Convolutional Neural Network to for ParticleID & Energy Regression in CMS-HGCAL
@author: Tony Di Pilato
"""
import itertools
import sys
import tensorflow as tf
import keras
from keras.models import Model, load_model
from keras.layers import Input, Conv2D, MaxPooling2D, Concatenate, Batc... | tonydp03/ParticleID | inference.py | inference.py | py | 6,383 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_pickle",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "keras.utils.to_categorical... |
25561749558 | import cv2
import numpy as np
#import easyocr
frameWidth = 640 #Frame Width
franeHeight = 480 # Frame Height
plateCascade = cv2.CascadeClassifier("pak.xml")
minArea = 500
cap =cv2.VideoCapture(0)
cap.set(3,frameWidth) # 3 is for width and frameWidth = 640, we can directly put 360 as well in place of frameWidth ... | zubair-source/Sindh_Number_Plate | setup.py | setup.py | py | 2,061 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY... |
32781844149 | # loading necessay libraries
import pandas as pd
import numpy as np
import csv
import os
import matplotlib.pyplot as plt
# definition of working directory
os.chdir('R:/Projects/2020081/Navigation/Water_Bottom_Picks_from_QC')
# definition of variables (seq & line)
seq = input('\n\n\n Enter 3 digit sequence number:')
... | rdallagnolo/repo_nav-tweaks | ready/echo.py | echo.py | py | 1,201 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.chdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"li... |
70337088360 | from webbot import Browser
from pynput.keyboard import Key, Controller
import time
from random import choice
import string
user = input('Username: ')
## Variáveis de controle
web = Browser()
keyboard = Controller()
values = string.ascii_letters + string.digits ## letras e números
size = 8 ### quantidade d... | jcbarbosa20/bruteforce_ig-v.1.0 | prj_beta.py | prj_beta.py | py | 1,000 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "webbot.Browser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pynput.keyboard.Controller",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "string.ascii_letters",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "s... |
8444747036 | from flask import Flask, request
import openai
import json
import mysql.connector
from twilio.rest import Client
app = Flask(__name__)
@app.route('/')
def hello_world(): # put application's code here
return 'Hello World!'
@app.route('/call', methods=['GET', 'POST'])
def call_process():
# get openai auth i... | masoncfrancis/dynamic-chatbot | app.py | app.py | py | 4,520 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "openai.api_key",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number... |
19892542281 | from services.base_service import BaseService
from dao.organization_dao import OrganizationDao
from dao.user_dao import UserDao
import json
import traceback
class OrganizationService(BaseService):
__dao = None
def __init__(self, session, params, execution, enforce_session):
super(OrganizationService... | Divyang-Soni/User-Authentication-using-blockchain-technology | services/organization_service.py | organization_service.py | py | 3,267 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "services.base_service.BaseService",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "dao.organization_dao.OrganizationDao",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "traceback.format_exc",
"line_number": 31,
"usage_type": "call"
},... |
34553577585 | #!/usr/bin/env python3
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import normalize, scale
df = pd.read_csv('dataset.csv')
Y = df['Class']
X = df.drop(['Class'], axis=1)
X_train, X_test, y_train, y_test = train_test_split(X, Y,
... | giovannyortegon/TheSecuritySentinel | SEM2/nomelize_stable.py | nomelize_stable.py | py | 508 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.normalize",
"line_number": 16,
"usage_type": "call"
},
... |
4801141942 | import sys
import os
import requests
from datetime import datetime
from partialdb import PartialDatabase
from acsapi import AcsApi
#Set up Django Environment
import django
sys.path.append(os.getcwd())
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "econosense.settings")
django.setup()
from data.models import Rent,Ar... | rykroon/econosense | econosense/data/build/acsbuild.py | acsbuild.py | py | 3,346 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ.setdefault",
"... |
21924915378 | from datetime import datetime
from sqlalchemy import Column, DateTime, Integer
from app.config import Base
class BaseModel(Base):
"""
Base class for all models
"""
__abstract__ = True
id = Column(Integer, primary_key=True)
created_at = Column(DateTime, nullable=False, default=datetime.now(... | felipevargas-bz/extract-data-from-pdf | app/models/base_model.py | base_model.py | py | 519 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "app.config.Base",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.Co... |
35894348831 | import simplejson
from django.shortcuts import render
from itertools import cycle
from .utils import pairwise
from django.http import HttpResponseRedirect, HttpResponse
from django.contrib.auth.decorators import login_required
from django.views.decorators.http import require_POST
from users import read_excel
from .mod... | Napermial/research_helper_app | users/views.py | views.py | py | 4,216 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.Experiment.objects.filter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "models.Experiment.objects",
"line_number": 21,
"usage_type": "attribute"
},
... |
23602837761 | import os
import torch
import torchvision
import pandas as pd
from PIL import Image as pil
from PIL import ImageOps as pilops
from sklearn import model_selection
ROOT_DATAPATH = 'datasets/covidx-cxr2'
SUBSET_DATAPATH = 'datasets/covidx-cxr2/subset/'
class CXR2Dataset(torch.utils.data.Dataset):
def __init__(self,... | peppocola/Screening-COVID19 | covidx/cxr2/dataset.py | dataset.py | py | 5,154 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "torch.utils",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_... |
71964798119 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
import os, sys, uuid, features, general
import sqlite3 as sqlite
from sqlite3 import Error
from mimetypes import MimeTypes
# Define the default extensions.
QT_IMG = [".BMP", ".GIF", ".JPG", ".JPEG", ".PNG", ".PBM", ".PGM", ".PPM", ".XBM", ".XPM"]
IMG_EXT = [".JPG", ".TIF",... | yufujimoto/SurveyDataCollector | modules/cleanup.py | cleanup.py | py | 5,214 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "mimetypes.MimeTypes",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line... |
27346309011 | from __future__ import print_function
from __future__ import division
from builtins import str
from builtins import range
from os.path import abspath, basename, dirname, isfile, join as pjoin
import os.path
import shutil
import numpy as np
import io
from psychopy import logging
try:
from PIL import Image
except Im... | soheilbr82/BluegrassWorkingMemory | Python_Engine/Lib/site-packages/psychopy/tests/utils.py | utils.py | py | 10,201 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "os.path.abspath",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
16397290699 | import optparse
import sys
import os
import wx
from avnav_gui_design import *
AVNAV_VERSION="development"
try:
from avnav_gui_version import AVNAV_VERSION
except:
pass
import subprocess
import re
__author__ = 'andreas'
class AvnavGui(Avnav):
def __init__(self, *args, **kwds):
Avnav.__init__(self,... | wellenvogel/avnav | linux/avnav_gui.py | avnav_gui.py | py | 7,119 | python | en | code | 72 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.expanduser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
70291613161 | #!/usr/bin/env python
#! -*- coding: utf-8 -*-
"""
common functions
"""
import random
import pygame
import functools
import math
#from rom import dungeon
CZ = - math.pi / 4
@functools.cache
def rotate(r, size, cxy):
r0 = r - CZ
x = math.cos(r0) * size + math.sin(r0) * size + cxy[0]
y = math.sin(r0... | peppermint8/bubba | bubba_lib.py | bubba_lib.py | py | 1,734 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "math.pi",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "math.cos",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 22,
... |
19642025363 | #!/usr/bin/env python
"""The setup script."""
from setuptools import setup, find_packages
with open("README.rst") as readme_file:
readme = readme_file.read()
with open("HISTORY.rst") as history_file:
history = history_file.read()
def get_requirements(requirements_file="requirements.txt"):
"""Get the c... | Zlopez/fedora-infra-map | setup.py | setup.py | py | 2,613 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "setuptools.setup",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 72,
"usage_type": "call"
}
] |
70681339880 | """ Set parameters to image a tile """
import time
import copy
from astropy.coordinates import SkyCoord
startRunTime=time.time()
prevRunTime = startRunTime
def tile_padding(band):
""" Padding to add to the tile size for the full image
This should be 2 x 0.8 x PB (FWHM)
Parameters
----------
... | annayqho/OTF-Mapping | code/setup_imaging.py | setup_imaging.py | py | 6,053 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "astropy.coordinates.SkyCoord",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 222,
"usage_type": "call"
}
] |
42982321371 | import json
from .models import *
def cookieCart(request):
try:
cart = json.loads(request.COOKIES['cart'])
print("\nFrom cookieCart function. We got our cart started!")
except:
cart = {}
print("From cookieCart function. We didn't get past this point!")
print('Cart:', cart)
... | IsidoreDelpierro/ecommerceblog | store/utils.py | utils.py | py | 2,874 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 6,
"usage_type": "call"
}
] |
35780481302 | # 골드 2
import sys
from collections import deque
from itertools import permutations
input = sys.stdin.readline
def can_move_to(x, y, z):
return 0 <= x < n and 0 <= y < n and 0 <= z < n and cube[x][y][z] == "1"
def bfs(x, y, z):
visited = [[[0] * n for _ in range(n)] for _ in range(n)]
visited[x][y][z] ... | what-the-study/what-the-algorithm | youngjoo/BOJ/DFS_BFS/16985_Maaaaaaaaaze.py | 16985_Maaaaaaaaaze.py | py | 1,648 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.stdin",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
"line_number": 55,
"usage_type": "call"
}
] |
16203718305 | # -*- coding: utf-8 -*-
from datetime import datetime
from app.baseModel import BaseModel, fields, pydantic_model_creator
class Hits(BaseModel):
""" 自动化测试触发的问题记录 """
date = fields.CharField(128, default=datetime.now, description="问题触发日期")
hit_type = fields.CharField(128, default="", description="问题类型")
... | zhongyehai/test-platform-fastapi-api | app/assist/models/hits.py | hits.py | py | 1,656 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "app.baseModel.BaseModel",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "app.baseModel.fields.CharField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "app.baseModel.fields",
"line_number": 10,
"usage_type": "name"
},
{
"api_na... |
21333664141 | import os
import random
import hydra
import logging
import pyrootutils
from omegaconf import DictConfig, OmegaConf
from pandas import DataFrame
from rich.progress import track
from src.datamodules.components.dataset_base import DatasetBase
import pandas
pandas.options.mode.chained_assignment = None
root = pyrootutil... | nico-ru/BAnDIT | src/induce_anomalies.py | induce_anomalies.py | py | 4,053 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.options",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pyrootutils.setup_root",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
11889614734 | from heapq import heapify
class Solution:
def max_heapify(self, heap, root, heap_len):
p = root
while p * 2 + 1 < heap_len:
# 找到当前节点的左右孩子节点
l, r = p * 2 + 1, p * 2 + 2
# 找到孩子节点中较大的节点位置
if heap_len <= r or heap[r] < heap[l]:
nex = l
... | cwlseu/code2022 | basic/heap_sort.py | heap_sort.py | py | 2,004 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.heapq.heappushpop",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "collections.heapq",
"line_number": 68,
"usage_type": "name"
}
] |
25052613260 |
import argparse
import logging
import os, json, math, time, shutil
import numpy as np
import pathlib2
import tensorflow as tf
DEVELOP_MODE = False
NBUCKETS = 5 # for embeddings
NUM_EXAMPLES = 1000*1000 * 20 # assume 20 million examples
DNN_HIDDEN_UNITS = '128,64,32'
CSV_COLUMNS = ('duration,end_station_id,bike_id,... | amygdala/code-snippets | ml/kubeflow-pipelines/sbtb/components/kubeflow-resources/bikesw_training/bikes_weather.py | bikes_weather.py | py | 9,209 | python | en | code | 156 | github-code | 18 | [
{
"api_name": "tensorflow.distribute.MirroredStrategy",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tensorflow.distribute",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.data.experimental.make_csv_dataset",
"line_number": 28,
"usa... |
70787239401 | # attachedLocalSpace
#
# closestPolygonAndWeights
# input:
# p a point in world space
# mesh a mesh node the p attach to
#
# return:
# the vertex id list of polygon nearest to p
# vertex weights with which the point on nearest polygon can be combined.
#
import pymel.core as pm
import p... | bambooshoot/tree | py/test/attachedLocalSpace.py | attachedLocalSpace.py | py | 4,234 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pymel.core.PyNode",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pymel.core",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "maya.OpenMaya.MMeshIntersector",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "maya.Open... |
34918758635 | import requests
from bs4 import BeautifulSoup
import numpy as np
import pandas as pd
# import time
url = r'https://oilprice.com/'
# Request
r1 = requests.get(url)
r1.status_code
# We'll save in coverpage the cover page content
coverpage = r1.content
# Soup creation
soup1 = BeautifulSoup(coverpage, 'html5lib')
# Th... | boernerr/web-scraper | src/scraper.py | scraper.py | py | 820 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 17,
"usage_type": "call"
}
] |
70599409959 | #!/usr/bin/env python
import sys
from dataclasses import replace
from enum import IntEnum
from parser.parser.exceptions import (
MissingNonTerminalTypes,
MissingRootNonTerminalType,
ParseError,
UnexpectedNonTerminalTypes,
)
from parser.parser.models import (
ConcatenationExpression,
Conjunction... | lk16/parser | parser/parser/parser.py | parser.py | py | 8,714 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "parser.tokenizer.tokenizer.Token",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "enum.IntEnum... |
35288138506 | import copy
import os
import torch
class StateCacher(object):
def __init__(
self,
model,
optimizer,
criterion,
memory_cache=True,
cache_dir=None,
):
# Check if the optimizer is already attached to a scheduler
self.optimize... | sajnanshetty/deep-learning | utils/statecacher.py | statecacher.py | py | 2,747 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tempfile.gettempdir",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "copy.deepcopy",
"l... |
10014695596 | #!/bin/python3
import argparse
import shutil
import os
PATH_BACKEND = "/home/exploit/backend/"
vuln_manager_src = 'vuln_manager_samples/%s.xml'
vuln_manager_dst = PATH_BACKEND + 'vulnerability_manager/nvd_db/nvdcve-2.0-Demo.xml'
rss_server_src = 'rss_server/entries_rss/%s.xml'
rss_server_dst = 'rss_server/enabled_e... | vigilate/tools | simulate.py | simulate.py | py | 917 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.isdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "shutil.copy",
"line_number... |
36925737951 | import logging
import os
from flask import Flask, render_template, redirect, url_for, request, send_from_directory
import settings
from instacard import lobadapter
from instacard.instagramadapter import InstagramAdapter
from instacard.repo import TinyRepo
logger = logging.getLogger(__name__)
def create_app():
... | eruvanos/instacard | instacard/__init__.py | __init__.py | py | 3,464 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "instacard.instagramadapter.InstagramAdapter",
"line_number": 17,
"usage_type": "call"
},
{
"api_nam... |
11996367312 | import os
import sys
import json
data = dict()
data["node"] = dict()
data["link"] = dict()
def loadDataDirectory(dirPath):
'''
Given the directory path to where the
network tree is stored, this will traverse
through the directory and grab all of the
geojson files.
'''
for dirName, subDir,... | ucd-cws/calvin-network-editor | parser/data2pri.py | data2pri.py | py | 10,292 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.walk",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 34,
... |
25809740581 | # ele usou reflect pra comparar com imageJ
import numpy as np
from numpy import asarray
from PIL import Image
from scipy import ndimage
# Funções de abrir a imagem do ImageJ
def openImageJ(path_image):
image_in = Image.open(path_image)
image_np = np.array(image_in)
print('Imagem filtrada no ImageJ')
... | Nathalia-Urenha/Processamento-de-Imagens | Projeto 5/script/filtragem_espacial_convolucao.py | filtragem_espacial_convolucao.py | py | 6,546 | python | pt | code | 1 | github-code | 18 | [
{
"api_name": "PIL.Image.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number":... |
29713630151 | #!/usr/bin/python3
# from os import SCHED_OTHER
from enum import Enum, auto
from re import X
from which_pyqt import PYQT_VER
if PYQT_VER == 'PYQT5':
from PyQt5.QtCore import QLineF, QPointF
elif PYQT_VER == 'PYQT4':
from PyQt4.QtCore import QLineF, QPointF
else:
raise Exception('Unsupported Version of PyQt: {}'.for... | jennanatkinson/cs312-proj4-gene-sequencing | GeneSequencing.py | GeneSequencing.py | py | 6,599 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "which_pyqt.PYQT_VER",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "which_pyqt.PYQT_VER",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "which_pyqt.PYQT_VER",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "enum.En... |
38407855413 | import discord
from discord.ext import commands
from discord import Embed
import pandas as pd
class BlackMarket(commands.Cog):
fruits = [
{"emoji": "🍎", "name": "Garden Fruit"},
{"emoji": "🍏", "name": "Hero Fruit"},
{"emoji": "🍊", "name": "Dark Fruit"},
{"emoji": "🍋", "name": "R... | nickshouse/Chao-Bot | src/cogs/black_market.py | black_market.py | py | 5,903 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "dis... |
6407394832 | import setuptools
from os import path
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setuptools.setup(
name='amazonstoreprice',
packages=['amazonstoreprice'],
package_dir={'amazonestoreprice': ... | Mirio/amazonstoreprice | setup.py | setup.py | py | 1,105 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.path.abspath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
6645152999 | import logging
import time
from ctypes import *
from functools import wraps
r_log = logging.getLogger()
logging.basicConfig(level=logging.INFO)
def decorate_time(func):
@wraps(func)
def wrapper(*argv, **kwargv):
start_t = time.clock()
res_val = func(*argv, **kwargv)
end_t = time.clock... | Achillesxu/leet_code_some | algorithm_files/leetcode1.py | leetcode1.py | py | 109,923 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "time.clock",
... |
10065447727 | """
SATOSA microservice that uses an identifier asserted by
the home organization SAML IdP as a key to search an LDAP
directory for a record and then consume attributes from
the record and assert them to the receiving SP.
"""
import satosa.micro_services.base
from satosa.logging_util import satosa_logging
import cop... | MESH-Research/SATOSA | src/satosa/micro_services/ldap_attribute_store.py | ldap_attribute_store.py | py | 12,941 | python | en | code | null | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "satosa.micro_services.base.micro_services",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "satosa.micro_services.base",
"line_number": 17,
"usage_type": "name"
}... |
71812779240 | from operator import itemgetter
from itertools import groupby
# 필드별로 레코드 묶기
rows = [
{'address': '5412 N CLARK', 'date': '07/01/2012'},
{'address': '5148 N CLARK', 'date': '07/04/2012'},
{'address': '5800 E 58TH', 'date': '07/02/2012'},
{'address': '2122 N CLARK', 'date': '07/03/2012'},
{'address'... | Ma-rk/python-cookbook-3rd | 01_DataStructuresAndAlgorithms/15_GroupingRecordsTogetherBasedOnField.py | 15_GroupingRecordsTogetherBasedOnField.py | py | 1,229 | python | ko | code | 1 | github-code | 18 | [
{
"api_name": "operator.itemgetter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "itertools.groupby",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "collections... |
29283348413 | import multiprocessing
import time
class ClockProcess(multiprocessing.Process):
'''
两个函数比较重要
1.init
2.run
'''
def __init__(self,interval):
super().__init__()
self.interval=interval
def run(self):
while True:
print('the time is %s'%time.ctime())
... | zhouzhou0/python_zhou | 多线程/20.py | 20.py | py | 496 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "multiprocessing.Process",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "time.ctime",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"l... |
22871623223 | from dadata import Dadata
import sqlite3
def save_users_data(name, token, language):
with sqlite3.connect("database.db") as sqlite_connection:
cursor_db = sqlite_connection.cursor()
cursor_db.execute("""CREATE TABLE IF NOT EXISTS users (
id INTEGER PRIMARY KEY AUTOINCRE... | misha2212/test_task | task.py | task.py | py | 2,403 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "dadata.Dadata",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "dadata.suggest",
"line_number": 26,
"usage_type": "call"
}
] |
25217628622 | # https://leetcode.com/problems/design-in-memory-file-system/
# tags: #google, #trie
#
# TrieNode Implementation.
# Time Complexity:
# * ls: O(l + k*log(k)) l=path length / k=number of entries in the current directory
# * mkdir: O(l)
# * addContentToFile: O(l + c) c=new content length
# * readContentFromFile: O(l)
# Sp... | ronelzb/leetcode | trie/0588_design_in_memory_file_system.py | 0588_design_in_memory_file_system.py | py | 2,536 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 83,
"usage_type": "name"
}
] |
28721036120 |
from sys import argv, stdin
import os.path
from bilinear import BilinearMap, Key
import base64
def b64(b):
return base64.b64encode(b).decode('utf-8')
from Crypto.PublicKey import RSA
from Crypto.Random import get_random_bytes
from Crypto.Cipher import AES, PKCS1_OAEP
d = argv[1]
with open(os.path.join(d, "kw")... | Praz314159/Public-Key-Encryption-with-Keyword-Search | router/encrypt.py | encrypt.py | py | 1,061 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "base64.b64encode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "os.path.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_n... |
71427120040 |
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
plt.rcParams['font.size'] = 8
plt.rcParams['figure.figsize'] = (8,8)
import os
import numpy as np
import cv2
import pickle
from keras.models import Sequential, load_model
from keras.layers import Dense, Conv2D, MaxPooling2D, UpSampling2D... | aorursy/new-nb-3 | hengzheng_simple-autoencoder-keras-and-kmean-cluster.py | hengzheng_simple-autoencoder-keras-and-kmean-cluster.py | py | 4,880 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 12,
"usage_type": "attribute"
},
{
... |
25136067820 | from django.urls import path
from .views import CategoryViewSet, CategoryItemViewSet,ApiItemListView
urlpatterns = [
path('list', ApiItemListView.as_view()),
path('category', CategoryViewSet.as_view({ 'get': 'list' })),
path('category-item', CategoryItemViewSet.as_view({ 'get': 'list'})),
path('categ... | bista-gomogycojp/demo | OOnavi_Django-Vue/backend/categorybox/urls.py | urls.py | py | 409 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.ApiItemListView.as_view",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.ApiItemListView",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "dja... |
29223821408 | import http.server
import socketserver
import webbrowser
import threading
# Define the handler to use for incoming requests
handler = http.server.SimpleHTTPRequestHandler
# Set the directory containing your index.html file
handler.directory = "UI"
# Define the port to listen on
port = 8080
# Function to start the s... | 3V1LXD/ROT | src/ROTUI.py | ROTUI.py | py | 772 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "http.server.server",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "http.server",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "socketserver.TCPServer",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "threading.Th... |
73191826280 | import MySQLdb
db = MySQLdb.connect(
host="mysql3.cs.stonybrook.edu",
port=3306,
user="dolphins",
passwd="solongandthanks",
db="dolphins"
)
cursor = db.cursor()
query = "SELECT ID FROM Districtings WHERE jobID = 259"
cursor.execute(query)
rows = cursor.fetchall()
districtingIds = [t[0] for t in rows]
district... | Dolphin-Party/districting-analyzer | district_precinct_ids.py | district_precinct_ids.py | py | 869 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "MySQLdb.connect",
"line_number": 3,
"usage_type": "call"
}
] |
11926731357 | """update
Revision ID: 4e185fc8c651
Revises: 2d37229f23db
Create Date: 2020-08-22 15:25:14.511265
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '4e185fc8c651'
down_revision = '2d37229f23db'
branch_labels = None
depends_on = None
def upgrade():
# ### com... | pbaesse/dados-livres | migrations/versions/4e185fc8c651_update.py | 4e185fc8c651_update.py | py | 1,394 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "alembic.op.batch_alter_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.... |
32463732731 | import logging
import requests
from celery import shared_task
from .utils.abstractScraper import AbstractScraper
from .utils.saveScraper import SaveApartment
from olxSearch.models import SearchingSettings, Category, City
from django.db.models import Max
from django.conf import settings
from django.core.mail imp... | MrMario108/RealEstateSearch | RealEstateSearch/scrapingApp/tasks.py | tasks.py | py | 6,604 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.core.mail.send_mail",
"line_number": 24,
"usage_type": "call"
},
{
"a... |
73519351401 | import operator
import random
from collections import defaultdict
import numpy as np
from app.exceptions import WrongClustersNumberError
class KMeans:
def __init__(self, n_clusters: int, max_iterations: int):
"""
:param n_clusters: number of clusters
:param max_iterations: iterations nu... | costefan/clustering-app | app/clustering/kmeans.py | kmeans.py | py | 2,508 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "numpy.arr... |
73656641320 | #!/usr/bin/env python3
"""
协议格式为
TCP_CRC32: TCP header,4 bytes
TCP_PAYLOAD_LEN:2 bytes
UDP OR TCP PUBLIC BODY
pad_length:1byte //加密的填充长度
user_id:16 bytes //用户key
"""
import sys, hashlib, struct, zlib
TCP_HEADER_SIZE = 6
try:
from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
from cry... | fdslight/fdslight | freenet/lib/racs.py | racs.py | py | 3,177 | python | en | code | 139 | github-code | 18 | [
{
"api_name": "sys.exit",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cryptography.hazmat.primitives.ciphers.Cipher",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cryptography.hazmat.primitives.ciphers.algorithms.AES",
"line_number": 23,
"usage_... |
18447014216 | import matplotlib.pyplot as plt
import numpy as np
def plot_1_a(n: int, r_array: np.ndarray):
iters = np.arange(1,r_array.size + 1)
plt.plot(iters, r_array)
plt.title(r'$\log_{10} ||r_k||$ for n = ' + str(n))
plt.xlabel("Iterations")
plt.ylabel("$\log_{10} ||r_k||$")
filename = "scg_1_a_n" + st... | PJ6451/Optimization_HW | hw_3/plots.py | plots.py | py | 2,599 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.ndarray",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot... |
26430781051 | import torch
import torch.nn as nn
from pretrain import BertPreTrain
from finetune import BertClassification
class Trainer(object):
def __init__(self, bert_model):
self.bert_model = bert_model
def pre_train(self, iterator, do_train, num_train_epochs=3, learning_rate=1e-5):
print("***** Pre-tr... | Ginga1892/bert-x | trainer.py | trainer.py | py | 3,142 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pretrain.BertPreTrain",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.optim.Adam",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Cros... |
74941871079 | import discord
#imports the discord file, basically telling replit IMPORT EVERYTHING DISCORD RELATED
import os
import requests
import json
import random
from replit import db
from keep_alive import keep_alive
from discord.ext import commands
from discord.ext import tasks
from random import choice
client = commands.Bot... | LinkTheSinger/DiscordAIBot | main.py | main.py | py | 7,607 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "discord.Game",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "random.cho... |
35447319328 | import moviepy.editor
from tkinter.filedialog import *
from k2 import speak
def vd_2_au():
speak("Ok Sir! Please select the video")
vid = askopenfilename()
video = moviepy.editor.VideoFileClip(vid)
speak("Converting in process. Please wait Sir")
audio = video.audio
audio.wri... | MrfoxAK/K2-AI | Vd_2_audio.py | Vd_2_audio.py | py | 484 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "k2.speak",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "moviepy.editor.editor.VideoFileClip",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "moviepy.editor.editor",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "... |
17159884260 | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import time
import keyboard
class InstagramCrawler:
def __init__(self, driver, max_level, max_step,call_back):
s... | jx06T/Self-introduction-annotation-relationship-diagram_instagram_PY | reptile.py | reptile.py | py | 5,604 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "keyboard.is_pressed",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.expected_conditions.presence_of_element_located",
... |
32305665731 | import threading
import time
from django.core.management.base import BaseCommand, CommandError
from django.core.mail import send_mass_mail
from django.contrib.auth import get_user_model
from django.conf import settings
User = get_user_model()
class Command(BaseCommand):
'''
为bucket对应的表，清理满足彻底删除条件... | 25280841/iharbor | apps/users/management/commands/email_notice.py | email_notice.py | py | 4,659 | python | en | code | null | github-code | 18 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "threading.Semaphore",
"line_number": 15,
"usage_type": "call"
... |
1574376743 | import schnetpack as spk
import torch.nn as nn
from schnetpack.nn.base import Dense
from schnetpack.nn.blocks import MLP
from schnetpack.nn.cfconv import CFConv
from schnetpack.representation import SchNet, SchNetInteraction
from schnetpack.nn.activations import shifted_softplus
from schnetpack.atomistic.output_modules... | OMalenfantThuot/scripts_raman | utils/models/dropout_schnet.py | dropout_schnet.py | py | 5,386 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "schnetpack.representation.SchNet",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.ModuleList",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "schnetp... |
12216374514 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('project', '0028_remove_project_amount_repaid'),
]
operations = [
migrations.AddField(
model_name='project',
... | calblueprint/revolv | revolv/project/migrations/0029_project_tagline.py | 0029_project_tagline.py | py | 557 | python | en | code | 29 | github-code | 18 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AddField",
"line_number": 14,
"usage_type": "call"
},
{
... |
30340445881 | import sys
from collections import defaultdict
#dont do networkx or numpy!!!
#take input from CL
inFile = sys.argv[1]
input = open(inFile,'r').read().splitlines()
## Get 1st line
numBoxes = int(input[0])
print('Number of Boxes:', numBoxes)
#get boxes into correct format (list of lists of ints)
boxes = input[1:]
print... | bradjbailey/513-hw6 | boxes.py | boxes.py | py | 1,909 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "collections.defaultdict",
"line_number": 41,
"usage_type": "call"
}
] |
32224895790 | from greenev import Server
import greenlet
class MyServer(Server):
def handler(self, request, fileno):
g=greenlet.getcurrent()
g.parent.switch("Info: ")
self.sleep(2, fileno, g)
return request
if __name__ == "__main__":
ser=MyServer(8080)
ser.start(timeout=3)
| KomaBeyond/greenev | sample.py | sample.py | py | 306 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "greenev.Server",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "greenlet.getcurrent",
"line_number": 6,
"usage_type": "call"
}
] |
2483448698 | from pymongo import MongoClient
import dns
from bson.objectid import ObjectId
def connect_db():
try:
client = MongoClient()
client = MongoClient(
'mongodb+srv://admin:admin@cluster0.ekv0t.mongodb.net/Resume-parser?retryWrites=true&w=majority')
return client
except ValueErro... | Code-with-ease/Smart-Talent-Resume-Ranker | database_functionalities.py | database_functionalities.py | py | 4,688 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bson.objectid.ObjectId",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "bson.obj... |
42839100308 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
df = pd.read_csv (r'simulation_result.csv')
states = df.to_numpy()
time = states[:,0]
u = states[:,1]
v = states[:,2]
w = states[:,3]
p = states[:,4]
q = states[:,5]
r = states[:,6]
e0 = states[:,7]
e1 = states[:,8]
e2 = states[:,9]
e3 = states[:... | parthp08/UAVFlightSimulator | plots.py | plots.py | py | 3,426 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
70628691881 | from pages.login_page import LoginPage
from technical import locators
from technical.user_model import User
def test_case_5_register_existing_email(get_main_page):
main_page = get_main_page
# Verify that home page is visible successfully
assert main_page.check_el_visibility(locators.Main.main_slider_loc... | MichalGryszowka/automation_exercise_automated_tests | tests/test_case_5_register_existing_email.py | test_case_5_register_existing_email.py | py | 901 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "technical.locators.Main",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "technical.locators",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pages.login_page.LoginPage",
"line_number": 13,
"usage_type": "argument"
},
{
"ap... |
14493047852 | # -*- coding: utf-8 -*-
import numpy as np
from scipy.stats import norm
import matplotlib.pyplot as plt
from astropy.io import fits
from astropy.constants import c
import astropy.wcs as fitswcs
import astropy.units as u
from astropy.modeling import models
from astropy.table import Table
from box import Box
from spec... | miguelverdugo/pyFADO | pyfado/pyfado.py | pyfado.py | py | 27,167 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "astropy.units.AA",
"line_number": 58,
"usage_type": "attribute"
},
{
"api_name": "astropy.units",
"line_number": 58,
"usage_type": "name"
},
{
"api_name": "astropy.units.Unit",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "astropy.units"... |
43628139355 | from utils.parse import Parser
from aoc.intcode import Machine
from copy import deepcopy
from enum import Enum
class Pixel(Enum):
SPACE = 0
SCAFFOLD = 1
class Camera:
def __init__(self, program):
self.__cpu = Machine(program, lambda: None, self.__get_pixel)
self.__image = {}
self... | tranzystorek-io/aoc2019-python | days/d17p1.py | d17p1.py | py | 1,894 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "enum.Enum",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "aoc.intcode.Machine",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "utils.parse.Parser",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"... |
18016329243 | import uuid
import pytest
from fakeredis.aioredis import FakeRedis
from fastapi import FastAPI
from httpx import AsyncClient
from starlette import status
@pytest.mark.anyio
async def test_setting_value(
fastapi_app: FastAPI,
fake_redis: FakeRedis,
client: AsyncClient,
) -> None:
"""
Tests that yo... | jamesvweston/fastapi_demo | asdf/tests/test_redis.py | test_redis.py | py | 2,022 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "fakeredis.aioredis.FakeRedis",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "httpx.AsyncClient",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "uuid.u... |
14173188115 | import json
import os
import re
import base64
from pathlib import Path
scriptLocation = os.path.dirname(os.path.realpath(__file__))
TUTORIAL_JSON_FILES = [Path(scriptLocation) / 'archery' / 'archery.vue.json']
indexTemplate = open(Path(scriptLocation) / 'assets' / 'tutorial.html').read()
bulmaCss = open(Path(scriptL... | asweigart/scratch_animated_gif_tutorials | generateVueTutorials.py | generateVueTutorials.py | py | 2,655 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_n... |
73631593639 | # coding=utf-8
#
import unittest2
from risk_report.asset import getAssetType, getAverageRatingScore, isInvestmentGrade
from risk_report.main import ratingsApplicable
from risk_report.data import getIdnType, getPortfolioPositions, getBlpData
from itertools import filterfalse
from functools import partial
from utils.it... | ZhangSteven/risk_report | test/test_asset.py | test_asset.py | py | 3,622 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "unittest2.TestCase",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "risk_report.data.getPortfolioPositions",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "risk_report.data.getBlpData",
"line_number": 25,
"usage_type": "call"
},... |
2217784226 | from racetrack import Racetrack
import pygame
import sys
import argparse
import time
import LAO_search
import BLAO_search
import pygame.locals
class Application:
def __init__(self, filename: str, scale=20, fps=30):
self.running = True
self.displaySurface = None
self.scale = scale
... | tinamil/bidirectional-mdp | main.py | main.py | py | 6,544 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "racetrack.Racetrack",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "BLAO_search.search",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "LAO_search.search",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pygame.init"... |
6213558716 | from pathlib import Path
from tkinter import Tk, Canvas, Entry, Text, Button, PhotoImage, ttk, END, messagebox
from tkcalendar import DateEntry
import tkinter.font as tkFont
import staff, checkin, checkout, shift
from tkinter.messagebox import askyesno
import openpyxl
class Schedule(ttk.Frame):
def __init__(self... | Nolb226/Python-Project | python/build/schedule.py | schedule.py | py | 13,447 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tkinter.ttk.Frame",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "tkinter.ttk",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"l... |
6253704275 | import requests
import json
import pytest
url = 'https://petstore.swagger.io/v2/user'
def base(**kwargs):
with open(str(kwargs['json_file'])) as f:
user = json.load(f)[str(kwargs['user'])]
obj_post = requests.post(url, json=user)
assert obj_post.status_code == int(kwargs['post_status']),... | octoEzh/tests | test_post.py | test_post.py | py | 2,857 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
}
] |
30677911764 | import numpy as np
import cv2
import imutils
image= cv2.imread("/Users/sam/All-Program/App-DataSet/Image-Processing/sam.jpg")
cv2.imshow("Original_image", image)
cv2.waitKey(0)
## Our Image is too large, hence we first shorten it using resizing
resized=imutils.resize(image, height=500) # Passing the new height of... | Sardhendu/Image-Processing-Tools | Basic-operations/10_masking.py | 10_masking.py | py | 1,974 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "imutils.resize",
"line_number": 13... |
17566071488 | # Stdlib imports
# Core Django imports
from crispy_forms.bootstrap import Field, FieldWithButtons, StrictButton
from crispy_forms.layout import (
HTML,
Button,
ButtonHolder,
Column,
Hidden,
Layout,
Row,
Submit,
)
from django import forms
from django.contrib.gis.geos import Point as geoPo... | julienpaul/django-weathervis | src/stations/forms.py | forms.py | py | 12,089 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "src.utils.mixins.CrispyMixin",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelForm",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": ... |
69852317159 | import cv2
import numpy as np
import os
import sys
import tensorflow as tf
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
EPOCHS = 10
IMG_WIDTH = 30
IMG_HEIGHT = 30
NUM_CATEGORIES = 43
TEST_SIZE = 0.4
def main():
# Check command-line arguments
if len(sys.argv) not in [... | divypandya/CS-50-AI-Projects | 5_NeuralNetworks/Traffic/traffic.py | traffic.py | py | 3,663 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.utils.to_catego... |
25963662551 | import os
import mock
from django.test import TestCase
from django.test import override_settings
from pyfakefs.fake_filesystem_unittest import TestCase as FSTestCase
from mii_common import tools
from mii_indexer.factories import MovieRelationFactory, MovieTaggingFactory
from mii_interface.factories import ReportFact... | MiiRaGe/miilibrary | tests/test_interface.py | test_interface.py | py | 9,526 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.test.TestCase",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "mii_indexer.factories.MovieTaggingFactory.create_batch",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "mii_indexer.factories.MovieTaggingFactory",
"line_number": 22,
... |
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