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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
32394806954 |
from keras.models import Sequential
from keras.layers.core import Flatten, Dense, Dropout
from keras.layers.convolutional import MaxPooling2D, ZeroPadding2D
from keras.layers.convolutional import Conv2D as Convolution2D
import numpy as np
def pop(model):
'''Ref: https://github.com/fchollet/keras/issues/2371#iss... | saumak/Visual-Question-Answering | vgg.py | vgg.py | py | 3,406 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "h5py.File",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.swapaxes",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.swapaxes",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.swapaxes",
"line_nu... |
40961899949 | #############################################################################
# The Graph class named OnlineRailwayFreightBooking prepares the adjacency matrix
# for the different unique cities and trains running between them.Once the matrix is
# ready all the search operation is done on the matrix.
###################... | koolkhan2006/BITSPilani | S1-20_DSECFZG519/online_railway_freight_booking.py | online_railway_freight_booking.py | py | 13,609 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "itertools.combinations",
"line_number": 120,
"usage_type": "call"
}
] |
34729205095 | from typing import Any, Union
from eth_typing import Address, HexStr
from web3 import Web3
from web3.types import Wei
from src.libs.Web3Client.Web3Client import Web3Client
from web3.types import TxParams, Nonce
import os
class Erc20Web3Client(Web3Client):
"""
Client that comes with the ERC20 ABI preloaded.
... | coccoinomane/crabada.py | src/libs/Web3Client/Erc20Web3Client.py | Erc20Web3Client.py | py | 2,966 | python | en | code | 61 | github-code | 18 | [
{
"api_name": "src.libs.Web3Client.Web3Client.Web3Client",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name":... |
71426860200 | import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from ipywidgets import interact, IntSlider, fixed
from pathlib import Path
from PIL import Image
base_path = Path('../input/global-wheat-detection/')
TRAIN_CSV_PATH = base_... | aorursy/new-nb-3 | goldsnitch_interactive-image-masks-eda-utility.py | goldsnitch_interactive-image-masks-eda-utility.py | py | 2,071 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "matplotlib.py... |
3838700286 | import csv
import pylab as pl
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
import matplotlib.pyplot as plt
from my_functions import cluster2, find_k, cluster_k, pca
# gets all sessionIDs in semantic_features file and their index to check later if the session exists in simple_features file
w... | sotiria3103/clustering_labeled | clustering_labeled.py | clustering_labeled.py | py | 6,012 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "csv.reader",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "my_functions.cluster2",
... |
41115472052 | import shutil
import asyncio
from pathlib import Path
from random import choice, randint
from nonebot.adapters.onebot.v11 import (
Bot,
MessageEvent,
GroupIncreaseNoticeEvent,
GroupDecreaseNoticeEvent,
GroupAdminNoticeEvent,
GroupBanNoticeEvent,
GroupRecallNoticeEvent,
FriendRecallNotic... | Kyomotoi/ATRI | ATRI/plugins/essential/__init__.py | __init__.py | py | 5,313 | python | en | code | 675 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "ATRI.service.Service",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "nonebot.adapters.onebo... |
41671481606 | from werkzeug import url_decode
class HTTPMethodOverrideMiddleware(object):
"""The HTTPMethodOverrideMiddleware middleware implements the hidden HTTP
method technique. Not all web browsers support every HTTP method, such as
DELETE and PUT. This middleware class allows clients to provide a method
overr... | pwgn/flaskAppArchitecture | app/middleware.py | middleware.py | py | 2,257 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "werkzeug.url_decode",
"line_number": 32,
"usage_type": "call"
}
] |
2572869774 | """
RandomForest.py
Written by Dan Adler
Email: (daadler0309@gmail.com)
GitHub: https://github.com/dadler6/
Self-implementation of a random forest.
Package requirements:
numpy
pandas
DecisionTree.py (self implementation)
"""
# Imports
import numpy as np
import DecisionTree as DT
from collections import Counter
class... | arsipku/My-Skripsi | RandomForest.py | RandomForest.py | py | 7,194 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "DecisionTree.ClassificationDecisionTree.handle_data",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "DecisionTree.ClassificationDecisionTree",
"line_number": 90,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.choice",
"line_number": 124,
... |
29169970222 | from os import listdir
import json
import operator
import numpy as np
import pylab
import requests
from elasticsearch import Elasticsearch, TransportError
from genericpath import isfile
from os.path import join
from regex import regex
import matplotlib.pyplot as plt
an = {
"settings": {
"index": {
... | Agnes5/nlp | lab3/task.py | task.py | py | 5,072 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "genericpath.isfile",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "os.path.joi... |
71427008040 | from sklearn.metrics import accuracy_score
import numpy as np
import pandas as pd
from sklearn.ensemble import RandomForestClassifier
import time
import nltk
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import train_test_split
from sklearn.model_selection import cross... | aorursy/new-nb-3 | halftru_kernel5cd708ea59.py | halftru_kernel5cd708ea59.py | py | 8,305 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "nltk.stem.PorterStemmer",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "nltk.stem.WordNetLemmatizer",
"line_number": 77,
"usage_type": "name"
},
{
"api_name": "nltk.tokenize.word_tokenize",
"line_number": 83,
"usage_type": "call"
},
{
"a... |
26422178428 | import numpy as np
import cv2
def show_video(file_name, start_frame, end_frame, frametime, window_name):
frame_count = 1
break_flag = False
font = cv2.FONT_HERSHEY_SIMPLEX
cap = cv2.VideoCapture(file_name)
while(True):
ret, frame = cap.read()
if (not ret) or (frame_count > end_fram... | Norman960122/testin | video/show_video_part.py | show_video_part.py | py | 1,258 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.putText"... |
71898030120 | import os
import glob
import pandas as pd
import numpy as np
import random
from sklearn.utils.validation import check_is_fitted
from sklearn.utils import check_array, as_float_array
from sklearn.base import TransformerMixin, BaseEstimator
import kneed
import scipy
import seaborn as sns
import matplotlib.pyplot as plt
f... | jump-cellpainting/2023_Chandrasekaran_submitted | benchmark/old_notebooks_v1/utils.py | utils.py | py | 31,435 | python | en | code | 24 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number"... |
34439225781 | """
A Python scripts for active learning
Using active learning approach to select data for K-iteration fine-tuning
Author: xinyi
Date: 20210824
"""
import sys
sys.path.insert(0, './')
import os
import cv2
import numpy as np
import glob
import shutil
from tensorflow.keras.models import load_model
from tensorflow.keras.u... | xinyiz0931/aspnet | tool/active_learner.py | active_learner.py | py | 6,845 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.insert",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
2562905922 | # coding: utf-8
import torch
from torch import nn
from .pretrained import alexnet, alexnet_pre
from .BasicModule import BasicModule
class PCAlexNet(BasicModule):
def __init__(self, num_classes):
super(PCAlexNet, self).__init__()
self.conv1 = alexnet.features[0:3]
self.conv2 = alexnet.fe... | BolinLai/Vertebrae_Collapse | models/PCAlexNet.py | PCAlexNet.py | py | 1,501 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "BasicModule.BasicModule",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pretrained.alexnet.features",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pretrained.alexnet",
"line_number": 14,
"usage_type": "name"
},
{
"api_n... |
10339972992 | #!/usr/bin/python3
import sys
import re
import operator
import collections
from pathlib import Path
class WordFrequenciesModel:
freqs = {}
ignore_words = set(
open(Path.joinpath(Path.cwd(), "res/ignore-words.txt")).read().split(",")
)
def __init__(self, path):
self.update(path)
... | HoYaStudy/Python_Study | ProgrammingStyle/32-trinity/prog32.py | prog32.py | py | 1,448 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "pathlib.Path.joinpath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pathlib.Path.cwd",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.findall",
... |
23707957501 | import argparse
import getpass
import os
import sys
import subprocess
from livestreamer import *
from livestreamer.compat import input, stdout, file, is_win32
from livestreamer.stream import StreamProcess, StreamType
from livestreamer.utils import ArgumentParser, NamedPipe
exampleusage = """
example usage:
$ livestr... | derekzhang79/livestreamer | src/livestreamer/cli.py | cli.py | py | 11,346 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "livestreamer.logger.new_module",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "livestreamer.logger",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name"... |
8254386494 | import numpy as np
import scipy.io
import matplotlib.pyplot as plt
from scipy import linalg
import random
import math
from sklearn.cluster import KMeans
import ipyvolume as ipv
# 1. Загрузите данные ex7data1.mat из файла.
data1 = scipy.io.loadmat('ex7data1.mat')
X1 = data1['X']
print(X1.shape)
# 2. ... | zhyshkevich/ml | zhyshkevich_858341_ml_labs/lab 7/lab 7.py | lab 7.py | py | 7,421 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "scipy.io.io.loadmat",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "scipy.io.io",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "scipy.io",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.figur... |
37356466050 | import json
import logging
from urllib.parse import urlparse
import jmespath
def load_har(har_path):
"""
:param har_path:
:return:
"""
with open(har_path, 'r', encoding='utf-8') as har:
return json.load(har)
def save_postman_collection(file_path, postman_json):
with open(file_path,... | whitexie/Har2Postman | har2postman/common.py | common.py | py | 3,499 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "jmespath.search",
"lin... |
14951469581 | # A part of NonVisual Desktop Access (NVDA)
# Copyright (C) 2020-2022 NV Access Limited
# This file may be used under the terms of the GNU General Public License, version 2 or later.
# For more details see: https://www.gnu.org/licenses/gpl-2.0.html
"""This module is not a Robot Framework library itself. Instead i... | nvaccess/nvda | tests/system/libraries/SystemTestSpy/blockUntilConditionMet.py | blockUntilConditionMet.py | py | 3,270 | python | en | code | 1,802 | github-code | 18 | [
{
"api_name": "typing.Any",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"lin... |
73270820519 | """
Tests for TabularDatasets.
To run tests: python -m unittest tableshift/tests/test_tabular_dataset.py -v
"""
import logging
import tempfile
import unittest
from tableshift.core import TabularDataset, RandomSplitter, \
DatasetConfig, PreprocessorConfig, CachedDataset
LOG_LEVEL = logging.DEBUG
logger = logging... | mlfoundations/tableshift | tableshift/tests/test_tabular_dataset.py | test_tabular_dataset.py | py | 4,307 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "logging.DEBUG",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "unittest.Tes... |
72262440359 | import os, sys, time
import numpy as np
import matplotlib.pyplot as plt
plt.axis('off')
from PIL import Image, ImageOps
import cv2
from tensorflow.keras.preprocessing import image
def load_img(path, resize=None):
img = Image.open(path)
img = img.convert("RGB")
if resize is not None:
size_h = size_w =... | giaanthunder/sign_detection | sliding_window.py | sliding_window.py | py | 5,085 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.axis",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
... |
74339273639 | # -*- coding: utf-8 -*-
import json
import redis
from tornado.testing import AsyncHTTPTestCase
from insight_reloaded.api import application
from insight_reloaded import __version__ as VERSION
from insight_reloaded.insight_settings import (
REDIS_HOST, REDIS_PORT, REDIS_DB, DEFAULT_REDIS_QUEUE_KEY
)
from tornad... | peopledoc/insight-reloaded | insight_reloaded/tests/test_api.py | test_api.py | py | 2,660 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "tornado.testing.AsyncHTTPTestCase",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "tornado.ioloop.IOLoop.instance",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tornado.ioloop.IOLoop",
"line_number": 21,
"usage_type": "attribute"
}... |
28329302183 | import psycopg2
from psycopg2 import Error
try:
connection = psycopg2.connect(user="postgres", password="UTEC", database="postgres", host="localhost", port="5432")
cursor = connection.cursor()
# Executing a SQL query to insert data into table
cursor.execute("SELECT * from class")
record = cursor... | jcpazos/microblog | psycotestcrud.py | psycotestcrud.py | py | 1,615 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "psycopg2.connect",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "psycopg2.Error",
"line_number": 44,
"usage_type": "attribute"
}
] |
27274028711 | import time
import logging
import asyncio
from django.shortcuts import render, HttpResponse, redirect
from eventkit import Event
# from .decoder import Decoder
from ib_insync.decoder import Decoder
from ib_insync import *
import pandas as pd
def stock_data(request):
context = {}
return render(request, 'ib_ap... | ashaffir/stocks_management | ib_api/archive/views_ib_insync_not_work.py | views_ib_insync_not_work.py | py | 3,022 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "ib_... |
40201523029 | import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import os
from six.moves import urllib
download_dir = "./data/"
download_url = "https://raw.githubusercontent.com/aravind9722/datasets-for-ML-projects/main/cardekho_dataset.csv"
os.makedirs(download_dir,exist_ok=True)
filename = os.path.basen... | Fortunatetech/India-Used-Car-Price-Prediction-with-Deployment | Explore_Dataset_Page.py | Explore_Dataset_Page.py | py | 1,275 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.makedirs",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_nu... |
3855276064 | from xml.dom import minidom
import libvirt
from libvirt import libvirtError
from libvirttestapi.src import sharedmod
from libvirttestapi.utils import utils
required_params = ('guestname', 'nodeset', 'mode')
optional_params = {}
def check_numa_params(domobj, mode, node_tuple):
"""dump domain config xml descript... | libvirt/libvirt-test-API | libvirttestapi/repos/numa/numa_param_config.py | numa_param_config.py | py | 3,887 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "xml.dom",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "xml.dom.minidom.parseString",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "xml.dom.getElemen... |
41087033374 | # coding: utf-8
from datetime import datetime, timedelta
startTime = datetime.now()
current_datetime = str(datetime.now())[:16]
current_date = str(datetime.now())[:10]
import warnings
warnings.filterwarnings('ignore')
# If you run on new machine, change to "YES":
NEW_MACHINE = 'NO'
if NEW_MACHINE == 'YES':
print(... | PVLKim/Machine-learning-projects | Predicting-tickets-price-change/1-Cleaning.py | 1-Cleaning.py | py | 14,137 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "datetime.d... |
71841868201 | from collections import defaultdict
N = int(input())
papers = list()
res = defaultdict(int)
for _ in range(N):
papers.append(list(map(int, input().split())))
def solve(start_x, start_y, length):
global papers
pivot = papers[start_y][start_x]
divide = False
for y in range(start_y, start_y + length... | AlgoLive/AlgoLive_2023 | 2023 Spring/Week 5 DivideConquer/1780_종이의 개수/1780_최동욱.py | 1780_최동욱.py | py | 872 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 5,
"usage_type": "call"
}
] |
30621879064 | import scrapy
from scrapy.http import Request
import bs4
import re
from sucie.items import SucieItem
class chickenSpider(scrapy.Spider):
name = "sucie"
allowed_domains = ["www.qinbing.cn"]
start_urls = [
"http://www.qinbing.cn/list/jiage/19/1",
]
base_url = "http://www.qinbing.cn/list/jia... | Maxence1/scrapy-based-spider- | sucie/sucie/spiders/chickenSpider.py | chickenSpider.py | py | 2,453 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scrapy.Spider",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "scrapy.http.Request",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "scrapy.http.Request",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "re.findall"... |
39177187173 | from keras.layers import Dense, Flatten, Conv2D, Permute, Conv2DTranspose, Input, concatenate, Reshape, Cropping1D
from keras.models import Sequential, Model
from keras.models import model_from_json
from keras.optimizers import Adam
from rl.agents.dqn import DQNAgent
from rl.memory import SequentialMemory
from rl.polic... | anth2o/inf581_flappy_bird | define_model.py | define_model.py | py | 3,336 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "keras.models.model_from_json",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "keras.layers.Permute",
"line_number": 25,
"usage_type": "call"
},
{
"api_nam... |
32989434046 | import datetime
import logging
import time
import torch
import torch.distributed as dist
from maskrcnn_benchmark.utils.comm import get_world_size
from maskrcnn_benchmark.utils.metric_logger import MetricLogger
def reduce_loss_dict(loss_dict):
"""
Reduce the loss dictionary from all processes so that process... | lhoyer/MIC | det/maskrcnn_benchmark/engine/trainer.py | trainer.py | py | 12,740 | python | en | code | 200 | github-code | 18 | [
{
"api_name": "maskrcnn_benchmark.utils.comm.get_world_size",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.no_grad",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.stack",
"line_number": 27,
"usage_type": "call"
},
{
"api_name":... |
4041808665 | # -*- coding: utf-8 -*-
"""
Created on Thu Dec 6 17:38:25 2018
# 数据观测与数据预处理
@author: 40393
"""
import pandas as pd
import numpy as np
import datetime as datetime
import datetime
import sys
import xgboost as xgb
import re
import matplotlib.pyplot as plt
import seaborn as sns
import lightgbm as lgb
fro... | songhu1992/python-code | moedel2.py | moedel2.py | py | 10,114 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pandas.lib",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.strp... |
6907277536 | from django.forms import ModelForm
from .models import Reservation
class ReservationForm(ModelForm):
def __init__(self, *args, **kwargs):
self.user = kwargs.pop('user')
self.film = kwargs.pop('film')
print(kwargs)
super(ReservationForm, self).__init__(*args, **kwargs)
def... | Dayana-Marinova/Cinema-Reservation-System | cinema_system/film/forms.py | forms.py | py | 628 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "models.Reservation",
"line_number": 21,
"usage_type": "name"
}
] |
12264966506 | from collections import OrderedDict
from functools import lru_cache
from numpy import int32, float64
from pandas import Series
class PoloniexTicker:
ref = OrderedDict([
('id', int32),
('last', float64),
('lowestAsk', float64),
('highestBid', float64),
('percentChange', flo... | Pedrexus/overlooker | apps/agent/modules/exchange/Poloniex/PoloniexTicker.py | PoloniexTicker.py | py | 987 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.OrderedDict",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.float64",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.float64",
... |
40004475228 | import glob, os, re, datetime, json, zipfile
import dateutil.parser, time
command_dispatched_pattern = re.compile(r"\s*Key: type\s*Value: CommandDispatched")
timestamp_pattern = re.compile(r"\s*Key: timestamp\s*Value: (.*Z)")
event_payload_pattern = re.compile(r"(\{.*\})", re.S)
csv_content = "timestamp,command_type\n... | twobiers/software-architecture-sustainability-experiment | case-study-dungeon/scripts/extract_commands.py | extract_commands.py | py | 1,150 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "re.compile",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.S",
"line_number": 6,
"usage... |
4646814041 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Oct 3 16:55:19 2022
@author: Jack
"""
## https://towardsdatascience.com/beginners-guide-to-custom-environments-in-openai-s-gym-989371673952
## There will specific file structuring if I want to "register" my gym env.
# import gym
# class BasicEnv(gym.... | CoAxLab/imaginagents | basic_env_agent_test.py | basic_env_agent_test.py | py | 5,241 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.random.normal",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 70,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"... |
9297864222 | #!/usr/bin/env python
import os
import matplotlib.pyplot as plt
import numpy as np
from skimage.feature import peak_local_max
from lib.model import Point, ClickResult
from lib.utils import get_image, main_process, Phase, Campaign, Arg
SIGMA=25
WIDTH=400
HEIGHT=400
DEFAULT_THRESHOLD=2.0
X=None
Y=None
def process_... | gabrielkasmi/bdappv | click_analysis.py | click_analysis.py | py | 4,111 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "lib.utils.Campaign.GOOGLE",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "lib.utils.Campaign",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "numpy.meshgrid",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "nump... |
30964915836 | from creators.models import Location
from django.core.management.base import BaseCommand
class Command(BaseCommand):
help = 'Populate Location table with countries'
def handle(self, *args, **kwargs):
if Location.objects.all().count() < 1:
with open("./zubhub/creators/management/commands... | unstructuredstudio/zubhub | zubhub_backend/zubhub/creators/management/commands/populate_countries.py | populate_countries.py | py | 781 | python | en | code | 46 | github-code | 18 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "creators.models.Location.objects.all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "creators.models.Location.objects",
"line_number": 11,
"usage_... |
9464552766 | import json
import socket
import random
from transport import Protocol
from diffie_hellman import DiffieHellman
class Server:
def __init__(self, PORT):
self.client_port, self.server_port = PORT
self.serv_secret = random.randint(500, 1500)
self.target_server_port = ''
sock = soc... | maximums/PR_lab_2 | server_abstr.py | server_abstr.py | py | 3,171 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "random.randint",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_DGRAM",
... |
2333666811 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 20 16:08:15 2020
@author: lv13916
"""
import pandas as pd
import numpy as np
import sys
import csv
import os
from fuzzywuzzy import fuzz
from io import StringIO
import matplotlib.pyplot as plt
path = r"C:\Users\lv13916\University of Bristol\AMR Database - Documents\Luc... | lvass/phd_thesis | chapter 2/monge_elkan_match.py | monge_elkan_match.py | py | 4,530 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.sep",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.sep",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"line_number... |
24879143150 | import genanki
from tinydb import TinyDB, Query
import sys, getopt
listdb = TinyDB('./db/words.json')
dictdb = TinyDB('./db/dict.json')
CSS = """.card {
font-family: arial;
font-size: 20px;
text-align: center;
color: black;
background-color: white;
}
"""
# Card model
WordCard = genanki.Model(
12760084... | wivl/wordanki | main.py | main.py | py | 4,583 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tinydb.TinyDB",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tinydb.TinyDB",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "genanki.Model",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "genanki.Deck",
"line_numb... |
28868176507 | # -*- coding: utf-8 -*-
"""
Created on Thu May 28 22:53:52 2020
@author: Andrew
"""
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import datetime
plt.style.use('ggplot')
# df = pd.read_csv(r"C:\Users\Andrew\Documents\Python Scripts\data set\nyc open da... | andrewhong5297/NYC_Open_Data | NYC 311 Data Analysis.py | NYC 311 Data Analysis.py | py | 5,605 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 15,
"usage_type": "name"
},
{
"api_na... |
42276344319 | import sys
import matplotlib.pyplot as plt
import numpy as np
def thermal_eq_stats(filename,plot=False):
with open(filename) as f:
lines = f.readlines()
thermal_eq_flag = False
dump_interval = 1.1
for i in range(len(lines)):
spl = lines[i].split()
if spl == ['#', '----------',... | srgoldy32/md_tools | thermal_eq_stats.py | thermal_eq_stats.py | py | 1,740 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.average",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
74827617321 | import unittest
import import_ipynb
import pandas as pd
import pandas.testing as pd_testing
import numpy.testing as np_testing
import os
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn import metrics
class Test(unittest.TestCase):
def _dir... | PacktWorkshops/The-Deep-Learning-with-Keras-Workshop | Chapter01/Exercise1.04/Exercise1.04_Unit_test.py | Exercise1.04_Unit_test.py | py | 2,183 | python | en | code | 44 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
... |
20897585378 | import pygame
from pygame.locals import *
from pygame.color import *
import pymunk
import pygame_util
import pymunk.util
from pymunk import Vec2d
from math import *
import random
from time import sleep
import copy
from walker import walker
class simulation():
def __init__(self, scr_w = 800, scr_h = 600, \
... | nesvera/paul_walker | simulation.py | simulation.py | py | 4,773 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.C... |
42197573044 | from django.http import JsonResponse
from django.core.paginator import Paginator
from .models import Post,Classify
def post(request):
'''
根据页数，排序方式，所属分类来返回文章列表页，
json格式返回
p:页码
c:所属分类id
s:排序方式 1：按默认推荐排序，2：按时间排序，3：按欢迎度排序
'''
p = request.GET.get('p')
c = request.GET.get('c')
s = req... | qq915522927/wblog | w_post/api.py | api.py | py | 1,604 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.Post.my_objects.active",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "models.Post.my_objects",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": ... |
26535653295 | import os
import string
import pickle
import re
import time
import subprocess
from itertools import compress
from typing import List
import numpy as np
import nltk
nltk.download('punkt')
from nltk.tokenize import word_tokenize
from keras.models import Model, Input, load_model
from keras.preprocessing.sequence import pa... | mmarouen/marabou | marabou/train/src/models/named_entity_recognition_rnn.py | named_entity_recognition_rnn.py | py | 27,420 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "nltk.download",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "string.punctuation",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"... |
18388019902 | """training.py
Helper functions for running experiments.
Author: Alex Kyllo
Date: 2021-06-06
"""
import logging
import os
from datetime import datetime
from pathlib import Path
from tensorflow.keras import callbacks
from musiclearn import processing, vae_models
LOG = logging.getLogger(__name__)
LOG.setLevel(logging... | jackPhn/CSS586_Project | musiclearn/training.py | training.py | py | 3,057 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.PathLike",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
... |
37299276654 | from collections import defaultdict
class ATM:
def __init__(self):
self.notectr = defaultdict(int)
def deposit(self, banknotesCount: List[int]) -> None:
for i in range(5):
self.notectr[[20, 50, 100, 200, 500][i]] += banknotesCount[i]
def withdraw(self, amount: int) -> List[in... | theabbie/leetcode | design-an-atm-machine.py | design-an-atm-machine.py | py | 951 | python | en | code | 11 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 6,
"usage_type": "call"
}
] |
31665792569 | from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as ec
from selenium.webdriver.common.by import By
from Tasks.task10.pages.campaign_page import CampaignPage
from Ta... | roman-kachur/selenium_2017 | Tasks/task10/app/application.py | application.py | py | 1,810 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "webdriver_manager.chrome.ChromeDriverManager",
"line_number": 14,
"usage_type": "call"
},
... |
70416485481 | from collections import namedtuple
from operator import attrgetter
metro_data = [
('Tokyo', 'JP', 36.93, (35.68, 139.69)),
('Delhi NCR', 'IN', 21.94, (28.61, 77.21)),
('Mexico City', 'MX', 20.14, (19.43, -99.13)),
('New York-Newark', 'US', 20.1, (40.81, -74.02)),
('Sao Paulo', 'BR', 19.65, (-23.55,... | RyanLin1995/python | 流畅的python/07_函数是一等对象/7.8_支持函数式编程的包/7.8.1_operatoe模块/02_attrgetter.py | 02_attrgetter.py | py | 768 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.namedtuple",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "operator.attrgetter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "ope... |
70728699880 | import copy
import json
from django.http import HttpResponse
import time
import calendar
import datetime
from reports_mjt.utils.decime import to_string
def utc(local_st):
utc_st = time.localtime(local_st - 28800)
result = time.strftime("%Y-%m-%d %H:%M:%S", utc_st)
return result
day_now = time... | guruiadmin/gurui | reports_mjt/reports_mjt/utils/data_select.py | data_select.py | py | 7,028 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.localtime",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "calendar.monthrange",
... |
30533224640 | '''
Initilizing maze and point-based features
No walls, no collision with features
Known correspondence which means all features have unique labels
screen visualization
'''
import pygame
from visualization import *
from shapely.geometry import *
#### Variables ####
map_width = 500
map_height = 600
bor... | ZL92/Robot_Simulator | Localization with KF/maze.py | maze.py | py | 2,673 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.draw.line",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.line",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
... |
1642788724 | from django.conf import settings as django_settings
from datetime import datetime
from fabric.api import *
import django
import yaml
import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "microsite.settings")
django.setup()
def build_documents():
books_dir = os.path.join(django_settings.BASE_DIR, 'books')
... | MicroPyramid/MicroSite | fabfile.py | fabfile.py | py | 1,220 | python | en | code | 79 | github-code | 18 | [
{
"api_name": "os.environ.setdefault",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.setup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"... |
37965678500 | # -*- coding: utf-8 -*-
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from scrapy.http import Request
class SteamSpider(CrawlSpider):
name = 'steam'
#allowed_domains = ['https://store.steampowered.com/']
start_urls = ['https://store.steampowered... | RitamDey/Everything | python/scrapy/steam_scrapper/steam_scrapper/spiders/steam.py | steam.py | py | 936 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "scrapy.spiders.CrawlSpider",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "scrapy.spiders.Rule",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scrapy.linkextractors.LinkExtractor",
"line_number": 15,
"usage_type": "call"
}
] |
26857573664 | import pygame
import sys
pygame.init()
size= (800,500)
screen= pygame.display.set_mode(size)
clock = pygame.time.Clock()
pygame.mouse.set_visible(0)
while True:
for event in pygame.event.get():
if event.type == pygame.QUIT:
sys.exit()
mouse_pos = pygame.mouse.get_pos()
x = mouse... | CesarPumacayo/Python-UTN | Tema_Pygame/clase05_mouse.py | clase05_mouse.py | py | 555 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.Cloc... |
70073301482 | import os
import binascii
from datetime import datetime
def get_file_header(path):
"""
Retrieve the first two hexadecimal numbers of a file
"""
data = open(path, 'rb')
hex_str = binascii.b2a_hex(data.read(2))
return str(hex_str[:2], 'utf8'), str(hex_str[2:4], 'utf8')
"""
JPEG file... | FrogHarkness/Stack | converter.py | converter.py | py | 2,258 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "binascii.b2a_hex",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.fromtime... |
14117760664 | # Dash & Plotly Modules
import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_bootstrap_components as dbc
import dash_flexbox_grid as dfx
from dash.dependencies import Input, Output, State
import dash_table
import dash_dangerously_set_inner_html
from dash.exceptions import Preve... | SimsonChow/ml-dash-app | app.py | app.py | py | 6,297 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dash_bootstrap_components.themes",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "dash.Dash",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "dash_... |
36500319754 | import pytest
from src.lib.string_util import StringUtil
@pytest.fixture(scope="module", autouse=True)
def stu_object():
stu = StringUtil()
yield stu
class TestStringUtil:
@pytest.mark.parametrize("test_input, expected", [('県外一例目', False), ('県内1例目', True), ('県内2外', True)])
def test_exclude_outside(s... | daisuke19891023/covid19-yamanashi-scraping | tests/lib/test_string_util.py | test_string_util.py | py | 979 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "src.lib.string_util.StringUtil",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "p... |
70238034282 | import numpy as np
import matplotlib.pyplot as plt
X= [20,30,47,78,765,89,4]
y = [33,5,72,366,5,4,66]
plt.plot(X,y)
plt.xlabel('X - axis')
plt.ylabel('Y - axis')
plt.title('Example')
plt.legend('temp')
plt.show() | Luna-Hacks-Group6/Data-Visualization | index.py | index.py | py | 218 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mat... |
36103192528 | # -*- coding: utf-8 -*-
"""
Created on Fri Feb 17 11:39:58 2017
@author: luzhangqin
"""
import numpy as np
from sklearn.cluster import KMeans
#计算两个输入集合的每对之间的距离。
from scipy.spatial.distance import cdist
from matplotlib.font_manager import FontProperties
import matplotlib.pyplot as plt
font = FontProperties(fname = r'... | TonyLDS/sklearn | 6-2.py | 6-2.py | py | 1,684 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.font_manager.FontProperties",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random.uniform",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 21,
"usage_type": "attribute"
},
{
"api... |
73052160361 |
import numpy as np
import math
import torch
import torch.nn as nn
import torchvision.transforms as transforms
class OhemCELoss(nn.Module):
"""
算法本质：
Ohem本质：核心思路是取所有损失大于阈值的像素点参与计算，但是最少也要保证取n_min个
"""
def __init__(self, thresh, lb_ignore=255):
super(OhemCELoss, self).__init__()
# s... | fry404006308/fry_course_materials | 230721_深度学习几分钟精通课程/230726-OhemCELoss/ohemCELoss.py | ohemCELoss.py | py | 1,830 | python | en | code | 444 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.log",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number... |
74028660521 | # from argparse import ArgumentParser
from PIL import Image, ImageFont, ImageDraw
from config import Input_shape, channels, threshold, ignore_thresh, path
from network_function import YOLOv3
from detect_function import predict
from utils.yolo_utils import read_anchors, read_classes, letterbox_image # , resize_image
fr... | maiminh1996/YOLOv3-tensorflow | src/propagation.py | propagation.py | py | 13,056 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "config.path",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "config.path",
"line_num... |
23136321822 | import re
import numpy as np
import torch
from nltk.translate.bleu_score import corpus_bleu
from nltk.translate.meteor_score import meteor_score
from rouge import Rouge
def cosine_similarity(v1, v2, t):
return ((v1 * v2).sum() / (v1.norm() * v2.norm() * 2 + 1e-8) + 0.5).cpu().item()
def exponential_similarity(v... | brianimpact/air4all | study_unit_summarizer/utils.py | utils.py | py | 2,275 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.exp",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.pow",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 23,
"us... |
28735989833 | from skimage.io import imread
from matplotlib import pyplot as plt
import numpy
from scipy import stats
RANGE = 256
# utility function plotting histogram
def plot_hist(img, title, pixel_value_range = RANGE):
image_hist, bins = numpy.histogram(img, bins=range(pixel_value_range))
center = (bins[:-1]... | FunnyPhantom/computer_vision_hws | hw6.py | hw6.py | py | 2,684 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.histogram",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
22987188222 | from dataclasses import dataclass
from typing import Dict, Generator, NamedTuple, OrderedDict, Union
from starknet_py.serialization._context import (
DeserializationContext,
SerializationContext,
)
from starknet_py.serialization.data_serializers._common import (
deserialize_to_dict,
serialize_from_dict... | software-mansion/starknet.py | starknet_py/serialization/data_serializers/named_tuple_serializer.py | named_tuple_serializer.py | py | 1,941 | python | en | code | 231 | github-code | 18 | [
{
"api_name": "starknet_py.serialization.data_serializers.cairo_data_serializer.CairoDataSerializer",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 20,
"usage... |
14201785411 | #!/usr/bin/env python3
# coding: utf-8
"""
@file: test_reasder.py
@description:
@author: Yiran Wu
@email: wuyiran@genomics.cn
@last modified by: Yiran Wu
change log:
2021/08/13 create file.
"""
import numpy as np
import pandas as pd
from stereo.core.stereo_exp_data import StereoExpData
from stereo.preprocess.q... | pratapstat/stereopy | tests/test_reader.py | test_reader.py | py | 3,935 | python | en | code | null | github-code | 18 | [
{
"api_name": "scipy.sparse.csr_matrix",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "scipy.sparse",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "numpy.random.randint",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.rando... |
2828191126 | # An implementation of a linear SVM that uses gradient descent for training
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.datasets import load_breast_cancer
from sklearn.preprocessing import StandardScaler
from datetime import datetime
from util im... | IvanRado/AI | Support_Vector_Machines/linear_svm_gradient.py | linear_svm_gradient.py | py | 3,958 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.maximum",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random.randn",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.where",
... |
38363037154 | import flet as ft
def main(page: ft.Page):
page.title = "Flet Band Name Generator"
# page.vertical_alignment = "center"
def reset_textfields():
city.error_text = ""
pet.error_text = ""
def button_clicked(e):
reset_textfields()
valid_form = True
if city.value =... | InesaFitsner/flet-100-days-of-code | day-001-band-name-generator/main.py | main.py | py | 1,010 | python | en | code | 14 | github-code | 18 | [
{
"api_name": "flet.Page",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "flet.TextField",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "flet.TextField",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "flet.Text",
"line_num... |
23073222413 | #!/usr/bin/env python3
# Version 1.0
# Author Alexis Blanchet-Cohen
# Date: 24/02/2014
import argparse
import os
import subprocess
parser = argparse.ArgumentParser(description='Set up analysis directories and configuration files.')
parser.add_argument("directory", nargs=1, help="Project directory. If the directory d... | blancha/abcngspipelines | utils/setup.py | setup.py | py | 2,140 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
43231711194 | import requests
import string
from flask import Flask, render_template, request, redirect, url_for, flash, jsonify
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config['DEBUG'] = True
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///weather.db'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = Fals... | andradenatalie/OpenWeatherAPI | app.py | app.py | py | 2,575 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask.render_temp... |
38262608689 | import sys
import requests
import datetime
import time
from pytz import timezone
import sendgrid
from sendgrid.helpers.mail import *
import os
from dotenv import load_dotenv
def send_email(subject, content):
load_dotenv()
sg = sendgrid.SendGridAPIClient(api_key=os.environ.get('SENDGRID_API_KEY'))
from_email = Email... | javierdechile/check_updates_http | check_updates.py | check_updates.py | py | 2,337 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sendgrid.SendGridAPIClient",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.envir... |
35501404471 | import json
import requests
game_id = 453253378
r = requests.post(
'https://www.codingame.com/services/gameResultRemoteService/findByGameId',
json = [str(game_id), None]
)
replay = r.json()
print(replay)
with open(f'{game_id}.json', 'w+') as f:
f.write(json.dumps(replay))
| eulerscheZahl/playground-tlpdf9r5 | project/code/download.py | download.py | py | 277 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.post",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 12,
"usage_type": "call"
}
] |
6986990128 | from datetime import datetime
# GMT string to GMT Time
dateString = "Oct 28 23:59:59 2020 GMT"
dateFormatter = "%b %d %H:%M:%S %Y GMT"
print(datetime.strptime(dateString, dateFormatter))
# GMT Time to GMT String
x = datetime.now() #現在時間
print(x.strftime("%Y-%m-%d %H:%M:%S"))
# x = datetime(2018, 6, 1) # ... | danieltwlin/Python | Operating System/datetime/time_format.py | time_format.py | py | 360 | python | en | code | null | github-code | 18 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "date... |
30619756558 | from collections import defaultdict
class Solution(object):
def shortestAlternatingPaths(self, n, red_edges, blue_edges):
"""
:type n: int
:type red_edges: List[List[int]]
:type blue_edges: List[List[int]]
:rtype: List[int]
"""
redGraph = defaultdict(list)
... | baldFemale/LeetCode-Solution | python/BFS/Shortest Path with Alternating Colors/Shortest Path with Alternating Colors.py | Shortest Path with Alternating Colors.py | py | 1,575 | python | en | code | 15 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 13,
"usage_type": "call"
}
] |
26190195355 | import discord
users = {
'Dark#6189': {
'rank': 'F',
'wins': 0,
'gold': 0, # gold gained from fighting monsters
'inventory': {} # inventory to store items from shop
},
'user2': {
'rank': 'A',
'wins': 3,
'gold': 0,
'inventory': {}
},
... | cis3296s23/DungeonHuntingRPG | lb.py | lb.py | py | 3,216 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "discord.Embed",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "discord.Color.from_rgb",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "discord.Color",
"line_number": 52,
"usage_type": "attribute"
}
] |
15473251664 | import pathlib
import pickle
import uuid
import attrs
import tensorflow as tf
import morefun.composite_genotypes as cg
import morefun.grammars.backbones as bb
import morefun.grammars.structured_grammatical_evolution as sge
import morefun.grammars.upper_grammars as ugr
import morefun.neural_networks.connections as con... | Mirandatz/morefun | morefun/phenotypes.py | phenotypes.py | py | 2,169 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "morefun.grammars.backbones.Backbone",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "morefun.grammars.backbones",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "attrs.field",
"line_number": 25,
"usage_type": "call"
},
{
"a... |
356307083 | from collections import namedtuple
error_message = namedtuple('error_message', ('message', 'code',))
WRONG_UUID = error_message(
'Строка UUID не соответсует стандарту. Допустимы только строки UUID версии 4',
'wrong_uuid',
)
WRONG_URL_CODE_LEN = error_message(
'Длинна "url_code" должна быть ровно 7 символо... | AlekseiKhatkevich/short_urls | short_urls/error_messages.py | error_messages.py | py | 707 | python | ru | code | 1 | github-code | 18 | [
{
"api_name": "collections.namedtuple",
"line_number": 3,
"usage_type": "call"
}
] |
14980005101 | import pandas as pd
import streamlit as st
# function to preprocess the data file and remove redundant data based on the week of the date provided in file.
@st.cache()
def pre_process(data):
countyColumns = data[['countyFIPS', 'County Name']]
week_df = data.drop(['countyFIPS', 'County Name', 'State', 'StateFI... | lakshbiradar/Covid-data-animation | dataprocess.py | dataprocess.py | py | 1,896 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.merge",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "streamlit.cache",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.merge",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"li... |
3702556622 | import copy
import json
import time
import typing
import random
import ansi
from non_blocking_input import nbprepare, nbclose
import atexit
import sys, os
nb = nbprepare()
atexit.register(nbclose)
l_snake = []
dangerous_grids = set()
bw = 2
_size: typing.Optional[typing.Tuple] = None
_display_size: typing.Optional... | Bznkxs/term | snake.py | snake.py | py | 13,978 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "non_blocking_input.nbprepare",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "atexit.register",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "non_blocking_input.nbclose",
"line_number": 13,
"usage_type": "argument"
},
{
"api_n... |
41558738325 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
import boto3
#from final_local.models import Ads_motorbike, db_connect, create_table
class GumtreeScraperPipeline(object):
... | henri45/estimate_motorbike_value_django | estimate_motorbike_value_django/scrapy_project/pipelines.py | pipelines.py | py | 1,144 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "boto3.resource",
"line_number": 16,
"usage_type": "call"
}
] |
73487329960 | """Saved serializers."""
# Django REST Framework
from rest_framework import serializers
# Models
from app.posts.models import Saved, CategorySaved
# Serializers
from app.posts.serializers import PostModelSerializer
class CategorySavedModelSerializer(serializers.ModelSerializer):
"""Category saved model seriali... | Julian-Bio0404/Api-Facebook-Clone | facebook/app/posts/serializers/saved.py | saved.py | py | 1,442 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.StringRelatedField",
"line_number": 16,... |
26505581882 | import numpy as np
import pytorch_lightning as pl
import torch as th
from torch.utils.data.dataloader import DataLoader
from minerl3161.hyperparameters import MineRLDQNHyperparameters
from minerl3161.pl_pretraining import pl_dataset, pl_model
from minerl3161.buffers import ReplayBuffer
from minerl3161.utils import sam... | will-maclean/MineRL | tests/test_pl_pretraining.py | test_pl_pretraining.py | py | 3,075 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "minerl3161.buffers.ReplayBuffer",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.r... |
35824484228 | import pandas as pd
from habanero import Crossref
from tqdm import tqdm
from fuzzywuzzy import fuzz
def get_user_input(prompt, valid_columns):
while True:
user_input = input(prompt)
if user_input in valid_columns:
return user_input
else:
print("Column not found. Try ... | berkeokur/Doi_finder | main.py | main.py | py | 3,829 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "habanero.Crossref",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pandas.notna",
"lin... |
4037372855 | import numpy as np
import torch
import torchvision
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import Dataset
from torchvision import transforms
import seaborn as sns
import argparse
sns.set_style('white')
parser = argparse.ArgumentParser()
parser.add_argument("--seed", type=int, defaul... | DepenM/Exp-WN | MNIST_prune.py | MNIST_prune.py | py | 13,880 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "seaborn.set_style",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.ran... |
24445334996 | import torch
from langchain.llms import CTransformers
from langchain.chains import LLMChain
from langchain import PromptTemplate
import gradio as gr
import time
custom_prompt_template = """
You are an AI Chatbot named Sunny, created by 'Sic Team', and your task is to provide information to users and chat with them bas... | ToxIcDisOt/sunny.main.model | app.py | app.py | py | 2,555 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "langchain.PromptTemplate",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.c... |
9978052245 | from keras.models import Sequential, Model
from keras.layers import *
from crf import CRF
from keras.optimizers import Nadam
from multipliers import *
import tensorflow as tf
from keras.initializers import *
def return_input(cfg):
x_in = Input((cfg['maxlen'],), name='word')
pos_tag_in = Input((cfg['maxlen'],)... | qrfaction/ruijin-kg-SuperGUTScode | 初赛/models.py | models.py | py | 3,769 | python | en | code | 58 | github-code | 18 | [
{
"api_name": "keras.models.Model",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "crf.CRF",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "keras.models.Model",
"line_number": 102,
"usage_type": "call"
},
{
"api_name": "crf.loss_function",
... |
25637056200 | """Добавление связи между заказам и таблицы с временем заказов
Revision ID: 940dafae9a62
Revises: 82e629e61ca9
Create Date: 2021-03-19 22:46:19.052728
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '940dafae9a62'
down_revision = '82e629e61ca9'
branch_labels = ... | lizatish/YandexBackendSchool2021 | migrations/versions/940dafae9a62_добавление_связи_между_заказам_и_.py | 940dafae9a62_добавление_связи_между_заказам_и_.py | py | 935 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer... |
4943270698 | import argparse
import configparser
import os
# Method to parse command-line arguments and a configuration file. It returns an arguments and a configuration object.
def setup():
arg_parser = argparse.ArgumentParser()
arg_group = arg_parser.add_mutually_exclusive_group()
arg_group.add_argument("-a", "--all... | s3jSubmission/sigmod-s3j-submission | monitor/src/setup.py | setup.py | py | 2,226 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 39,
"usage_type": "call"
}
] |
28430422044 | #File to test the image that is processed
from utils import *
import numpy as np
import cv2 as cv
cap = cv.VideoCapture(0)
if not cap.isOpened():
print("Cannot open camera")
exit()
fourcc = cv.VideoWriter_fourcc(*'MJPG')
out = cv.VideoWriter('output.avi', fourcc, 20.0, (640, 480))
while True:
# Capture... | Pieterjan-byte/IMP | recorder.py | recorder.py | py | 692 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter_fourcc",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
... |
74708323881 | '''
for communication between the Unreal Engine game client and the backend server requires defining endpoints,
handling requests, and establishing a protocol for data exchange.
Below, I'll provide a simple example using Python with Flask for RESTful API
'''
from flask import Flask, request, jsonify
app = Flask(__... | FiredPhoenixIR/Simple_Game_Backend | RESTful_API.py | RESTful_API.py | py | 826 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "flask.jsonify",
... |
12710745307 | from rapidsms.webui.utils import render_to_response
from models import *
from datetime import datetime, timedelta
from utilities.export import export
from rapidsms.webui.utils import paginated
from django.contrib.auth.decorators import login_required, permission_required
@login_required
@permission_required("logger.c... | ewheeler/rapidsms-contrib-apps | logger/views.py | views.py | py | 1,283 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "rapidsms.webui.utils.paginated",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rapidsms.webui.utils.render_to_response",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 9,
... |
157666626 | import random
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from IPython.display import display
import inspect
# Version con mosquitos pero sin genotipos y sin muerte.
# AUN NO METO GENOTIPOS
# Infeccion de mosquito:
# - Mosquito suceptible pica a humano infectado.
# - Queda infectado hasta ... | macataci/Dengue_ECO_EVO | code/abm_manual/mosquitos_SIR.py | mosquitos_SIR.py | py | 5,880 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "pandas.DataFrame",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "random.sample",
"... |
7715660195 | # -*- coding: utf-8 -*-
import dealunit
import tools
# patient_name
import patient_name_data
patient_name = dealunit.Patient_name(patient_name_data.patient_name_data)
# patient_drug
import patient_drug_data
patient_drug = dealunit.Patient_drug(patient_drug_data.patient_drug_data)
# patient_assess
import patient_ass... | phantom0309l/chenshuxiu.top | chenshuxiu.top/crondev/xuzhe/fcqx_yicongxing/calcfunctions/calcscores.py | calcscores.py | py | 1,056 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dealunit.Patient_name",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "patient_name_data.patient_name_data",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "dealunit.Patient_drug",
"line_number": 12,
"usage_type": "call"
},
{
... |
4681808078 | # Standard Algorithm Implementation
# Sampling-based Algorithms PRM
import matplotlib.pyplot as plt
import numpy as np
import networkx as nx
from scipy import spatial
# Class for PRM
class PRM:
# Constructor
def __init__(self, map_array):
self.map_array = map_array # map array, ... | Dheerajb07/campus-navigator | PRM Implementation/PRM.py | PRM.py | py | 12,918 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "networkx.Graph",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.arctan2",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number":... |
20406396935 | from selenium import webdriver
from selenium.common.exceptions import *
from time import sleep
from bs4 import BeautifulSoup as soup
BASE_URL = 'http://www.kogl.or.kr/'
URL = 'https://www.culture.go.kr/sso/login.do?agentId=5'
driver = webdriver.Chrome('/Users/mac/Documents/python_work/my_project/crawling/chromedriv... | 951237/python_crawling | 크롤링_공공글꼴 다운로드_200402/crawling_공공글꼴_save_200402.py | crawling_공공글꼴_save_200402.py | py | 2,010 | python | ko | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bs4.Beautiful... |
11706188940 | from decimal import Decimal
from django.test import TestCase
from djstripe.models import Customer, Charge, Card
from django.contrib.auth.models import User
import stripe
import json
import time
# Create your tests here.
class StripeUserTest(TestCase):
def test_customer_stripe_id(self):
self.customer = ... | esabunor/StripeTest | stripeuser/tests.py | tests.py | py | 5,427 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.test.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "stripe.Customer.create",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "stripe.Customer",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "djstr... |
7385099449 | import argparse
import sys
import numpy
from util.metric import *
from util.plot_self import *
def npToDict(array, offset=0):
dict_array = {}
for i in range(array.shape[0]):
dict_array[array[i, 0] + offset] = array[i, 1:]
return dict_array
def dictToNp(dict):
num = len(dict)
array = nump... | ShenYueling56/SweepRobot | evaluation/util/associate.py | associate.py | py | 5,880 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number":... |
14765690034 | import configparser
import argparse
import os
import csv
from os import path
from pathlib import Path
from collections import defaultdict
from collections import namedtuple
import pandas as pd
from upsetplot import UpSet
from matplotlib import pyplot as plt
from upsetplot import generate_counts, plot
config = configpa... | kyleLesack/sv_calling_benchmarking | real_data/shortread/00_scripts/2_make_plots/create_upset_plots.py | create_upset_plots.py | py | 5,966 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 30,
"usage_type": "call"
},
{
"api_nam... |
25593674475 | # coding: utf-8
import datetime
from typing import Any
from il2fb.commons.structures import BaseStructure
class TimestampedData(BaseStructure):
__slots__ = ['timestamp', 'data', ]
def __init__(self, data: Any):
self.timestamp = datetime.datetime.utcnow()
self.data = data
def __repr__(... | IL2HorusTeam/il2fb-ds-airbridge | il2fb/ds/airbridge/structures.py | structures.py | py | 506 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "il2fb.commons.structures.BaseStructure",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 14,
"usage_type": "call"
},
{
"api_na... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.