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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
25208897980 | from dataclasses import dataclass, asdict, field, make_dataclass
from typing import List, Union, Any, Dict
from enum import Enum
from sigrok.core.classes import ConfigKey
__all__ = [
"SrBlankState",
"SrDeviceState",
#"SrFileState",
#"AnalogChannel",
#"LogicChannel",
]
colorsArray = [
'#fce94f'... | drdbrr/webrok | pysigrok/srtypes.py | srtypes.py | py | 5,361 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sigrok.core.classes.ConfigKey.get",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "sigrok.core.classes.ConfigKey",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "dataclasses.make_dataclass",
"line_number": 43,
"usage_type": "call"
},... |
10158111328 | from django.shortcuts import render, redirect
from app14.models import ProductModel
def openmainpage(request):
if request.method == "POST":
name = request.POST.get("product_name")
price = request.POST.get("product_price")
photo = request.FILES["product_photo"]
ProductModel(name=nam... | suchishree/django_assignment1 | project14/app14/views.py | views.py | py | 443 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "app14.models.ProductModel",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 13,
"usage_type": "call"
}
] |
277437358 | import torch
import numpy as np
from shapmagn.global_variable import DATASET_POOL
from shapmagn.utils.obj_factory import partial_obj_factory
# todo reformat the import style
class DataManager(object):
def __init__(
self,
):
"""
the class for data management
return a dict, each t... | uncbiag/shapmagn | shapmagn/datasets/data_manager.py | data_manager.py | py | 3,588 | python | en | code | 94 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "torch... |
12799024256 | import webapp2, jinja2, os
# Import requests with app engine adapter
import requests, requests_toolbelt.adapters.appengine
from bs4 import BeautifulSoup
import datetime, time
from google.appengine.ext import ndb
# Patch adapter
requests_toolbelt.adapters.appengine.monkeypatch()
# os.path.dirname(__file__) is the c... | jQwotos/better-shareproint-slides | main.py | main.py | py | 3,061 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests_toolbelt.adapters.appengine.adapters.appengine.monkeypatch",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests_toolbelt.adapters.appengine.adapters",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "requests_toolbelt.adapters... |
36689801955 | from ..nmf import (PreambleEndRecord, ViaRecord, VersionRecord,
ModeRecord, KnownEncodingRecord, UpgradeRequestRecord,
UpgradeResponseRecord, Record, register_types,
SizedEnvelopedMessageRecord, PreambleAckRecord, EndRecord)
from .gssapi import GSSAPIStream
cla... | ernw/net.tcp-proxy | nettcp/stream/nmf.py | nmf.py | py | 1,954 | python | en | code | 54 | github-code | 6 | [
{
"api_name": "nmf.register_types",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "nmf.VersionRecord",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "nmf.ModeRecord",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "nmf.ViaRecord",
... |
36011235958 | # encoding: utf8
# Import local files:
import colors as COLORS
import margins as MARGINS
import roi as ROI
# External:
external = ROI.ROI('External', 'External', COLORS.external)
body = ROI.ROI('Body', 'Organ', COLORS.external)
# Support:
couch = ROI.ROI('Couch', 'Support', COLORS.couch)
# Target volumes:
gtv = ... | dicom/raystation-scripts | settings/rois.py | rois.py | py | 21,183 | python | en | code | 40 | github-code | 6 | [
{
"api_name": "roi.ROI",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "colors.external",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "roi.ROI",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "colors.external",
"line_numb... |
9357978894 | #!/usr/bin/env/python
# coding: utf-8
# YouTube Data API Collector
# Mat Morrison @mediaczar
# Last updated: 2020-03-31
''' Query the YouTube Data API for an individual channel URL or a file list of URLs.
You may also specify which 'page' you'd like to start on (useful when the script
breaks during a long data cap... | DigitalWhiskey/youtube_collector | youtube_collector.py | youtube_collector.py | py | 8,081 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "scraperwiki.sqlite.save",
"line_... |
19772432260 | #!/usr/bin/env python
# coding: utf-8
# In[40]:
import math
import pandas as pd
import numpy as np
from pyspark.sql import SparkSession
import pyspark.sql.functions as fc
import json
import requests
spark = SparkSession.builder.config("spark.sql.warehouse.dir", "file:///C:/temp").appName("readCSV").getOrCreate()
Da... | Lucas0717/house-search | spark_py/process_distinct_school.py | process_distinct_school.py | py | 3,500 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyspark.sql.SparkSession.builder.config",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 15,
"usage_type":... |
26043231137 | import cv2
import pickle
import numpy as np
espacios = []
with open('prueba.pkl', 'rb') as file:
espacios = pickle.load(file)
video = cv2.VideoCapture('video.mp4')
# Inicializar el contador de cuadros ocupados
full = 0
# Inicializar el estado de cada cuadro
estado = [False] * len(espacios)
while True:
chec... | Kinartb/CC431A_Grafica | PC1/PC1_TRABAJO/main.py | main.py | py | 1,599 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "pickle.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"lin... |
43424744194 | import os
from aiohttp import web
from cdtz import config
LIST_TZ = []
def create_list_tz():
"""Create list timezones. """
dir_zoneinfo = '/usr/share/zoneinfo'
for dirpath, dirnames, filenames in os.walk(dir_zoneinfo):
for file in filenames:
filepath = os.path.join(dirpath, file)
... | IrovoyVlad/cusdeb-tz | bin/server.py | server.py | py | 967 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.walk",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "aiohttp.web.json_response",
"li... |
73944509946 | import os
import numpy as np
import cv2
from config import cfg
from numpy.linalg import inv
import sys
class RawData(object):
def __init__(self, use_raw = False):
self.mapping_file = cfg.MAPPING_FILE
self.rand_map = cfg.RAND_MAP
self.path_prefix = ""
self.ext = ""
self.file... | yzhou-saic/MV3D_Yang | src/raw_data_from_mapping.py | raw_data_from_mapping.py | py | 6,272 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "config.cfg.MAPPING_FILE",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "config.cfg",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "config.cfg.RAND_MAP",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "conf... |
29584667291 | # -*- coding: utf-8 -*-
from datetime import datetime
import calendar
from openerp import models, fields, api, sql_db
from openerp.addons.avancys_orm import avancys_orm as orm
from openerp.tools import DEFAULT_SERVER_DATE_FORMAT as DSDF, DEFAULT_SERVER_DATETIME_FORMAT as DSTF, float_compare
from openerp.exceptions impo... | odoopruebasmp/Odoo_08 | v8_llevatelo/hr_payroll_extended/models/hr_contribution_form.py | hr_contribution_form.py | py | 82,426 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.today",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "calendar.monthrange",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "unicode... |
42339522829 | from gtts import gTTS
import speech_recognition as sr
import os
import time
import webbrowser
r = sr.Recognizer()
order = "what can i do for you?"
tts = gTTS(order)
tts.save("order.mp3")
os.startfile(r"C:\Users\Yodi\PycharmProjects\try\order.mp3")
time.sleep(3)
arr = [["Paradise", "someone"], ["kZ2xL_N... | yodifm/SpeechRecognition | SR/main.py | main.py | py | 1,657 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "gtts.gTTS",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.startfile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
24213199857 | import pygame
import serial
import time
import sys
class GUI:
def __init__(self):
# screen
pygame.init()
self.screen = pygame.display.set_mode((350, 400))
self.DELTA = 40
self.wide_value = 7500
self.angle_y = 3890
self.angle_x = 1230
s... | chinchilla2019/bebentos | main_and_pictures/main.py | main.py | py | 7,165 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "serial.Serial... |
3666745897 | from flask import Flask, request
from flask_cors import CORS
from pingback import ping_urls
app = Flask(__name__)
cors = CORS(app, resources=r'/pingback/', methods=['POST'])
@app.route('/pingback/', methods=['GET', 'POST'])
def api():
if request.method == 'POST':
try:
if request.is_json:
... | yingziwu/pingback | api.py | api.py | py | 924 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
... |
29979204168 | import gensim
from gensim.models import Word2Vec
import gradio as gr
# Load your trained Word2Vec model
model = Word2Vec.load("word2vecsg2.model")
def recommend_ingredients(*ingredients):
# Filter out any None values from the ingredients
ingredients = [i for i in ingredients if i]
# Get most similar ingr... | egecandrsn/FoodPair.v0 | app.py | app.py | py | 1,134 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gensim.models.Word2Vec.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "gensim.models.Word2Vec",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "gradio.inputs.Dropdown",
"line_number": 24,
"usage_type": "call"
},
{
"api_name"... |
529377311 | from email.Utils import formataddr
from zope import interface, component
from zope.app.component.hooks import getSite
from zope.traversing.browser import absoluteURL
from zojax.principal.profile.interfaces import IPersonalProfile
message = u"""
Your invitation code: %s
Or use link %s
"""
class InvitationMail(obje... | Zojax/zojax.personal.invitation | src/zojax/personal/invitation/template.py | template.py | py | 990 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "zope.traversing.browser.absoluteURL",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "zope.app.component.hooks.getSite",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "zojax.principal.profile.interfaces.IPersonalProfile",
"line_number": 26,... |
40322657669 | # i have created this file prajakta ...
from django.http import HttpResponse
from django.shortcuts import render
def index(request):
return render(request,'index.html')
def analyze(request):
#get the text
djtext=request.POST.get('text','default')
#checkbox value
removepunc=request.POST.get('remove... | maneprajakta/textprox | harry/views.py | views.py | py | 2,439 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 63,
"usage_type": "call"
},
{
"api_name":... |
70779220028 | import os
from accelerate.utils import is_tpu_available
from ..dataset import FlattenDataset, ReprDataset
from ..models import CachedS4, FlattenS4
from ..utils.trainer_utils import PredLoss, PredMetric
from . import register_trainer
from .base import Trainer
@register_trainer("flatten_s4")
class FlattenS4Trainer(Tr... | starmpcc/REMed | src/trainer/s4.py | s4.py | py | 1,418 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "base.Trainer",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "accelerate.utils.is_tpu_available",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dataset.FlattenDataset",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": ... |
18921275912 | """Test the codeclimate JSON formatter."""
from __future__ import annotations
import json
import os
import pathlib
import subprocess
import sys
from tempfile import NamedTemporaryFile
import pytest
from ansiblelint.errors import MatchError
from ansiblelint.file_utils import Lintable
from ansiblelint.formatters impor... | ansible/ansible-lint | test/test_formatter_sarif.py | test_formatter_sarif.py | py | 8,597 | python | en | code | 3,198 | github-code | 6 | [
{
"api_name": "ansiblelint.rules.AnsibleLintRule",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "ansiblelint.rules.AnsibleLintRule",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "ansiblelint.errors.MatchError",
"line_number": 24,
"usage_type": "nam... |
5503988928 | # https://www.hackerrank.com/challenges/validating-named-email-addresses/problem
import email.utils
import re
email_pattern = r'([a-zA-Z](\w|\d|_|-|[.])*)@([a-zA-Z])*[.]([a-zA-Z]{1,3})'
def is_valid_email_address(person):
email = person[1]
return re.fullmatch(email_pattern, email) is not None
people = []... | Nikit-370/HackerRank-Solution | Python/validating-parsing-email-address.py | validating-parsing-email-address.py | py | 524 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "email.utils",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "re.fullmatch",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "email.utils",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "email.utils.utils.parseaddr"... |
37131271257 | #!/usr/bin/env python
#_*_coding:utf-8_*_
import numpy as np
from sklearn.decomposition import PCA
def pca(encodings, n_components = 2):
encodings = np.array(encodings)
data = encodings[:, 1:]
shape = data.shape
data = np.reshape(data, shape[0] * shape[1])
data = np.reshape([float(i) for i in data], s... | Superzchen/iFeature | clusters/pca.py | pca.py | py | 505 | python | en | code | 152 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.decomposition.PCA",
... |
17763602061 | '''
UserList objects¶
This class acts as a wrapper around list objects. It is a useful base class for your own list-like classes which can inherit
from them and override existing methods or add new ones. In this way, one can add new behaviors to lists.
The need for this class has been partially supplanted by the abil... | aparna0/competitive-programs | 1collections module/userlist and usersting.py | userlist and usersting.py | py | 2,368 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.UserString",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "collections.UserString",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "collections.UserString",
"line_number": 74,
"usage_type": "name"
}
] |
5131563876 | from django.contrib.auth import get_user_model
from django.core.validators import MaxValueValidator, MinValueValidator
from django.db import models
from .validators import validate_year
NUMBER_OF_SYMBOLS = 20
User = get_user_model()
class Category(models.Model):
name = models.CharField(
verbose_name='На... | Toksi86/yamdb_final | api_yamdb/reviews/models.py | models.py | py | 3,953 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.db.models.Model",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 11,
"usage_type": "name"
},
{
"ap... |
13969225316 | import tweepy
import math
from io import open
#consumer key, consumer secret, access token, access secret.
ckey="x"
csecret="x"
atoken="x-x"
asecret="x"
auth = tweepy.OAuthHandler(ckey, csecret)
auth.set_access_token(atoken, asecret)
api = tweepy.API(auth)
hashtag = 'dilma'
result_type = 'recent'
total = 350
iterac... | ZackStone/PUC_6_RI | Test/twitter_api_search_3.py | twitter_api_search_3.py | py | 1,072 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number":... |
21379769063 | import test, gui, wx, config
from unittests import dummy
from domain import task, effort, category
class ViewerContainerTest(test.wxTestCase):
def setUp(self):
self.settings = config.Settings(load=False)
self.taskList = task.sorter.Sorter(task.TaskList(),
settings=self.settings)
... | HieronymusCH/TaskCoach | branches/Release0_62_Branch/taskcoach/tests/unittests/guiTests/ViewerContainerTest.py | ViewerContainerTest.py | py | 928 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "test.wxTestCase",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "config.Settings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "domain.task.sorter.Sorter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "domain.ta... |
29474328826 | """ Hand-not-Hand creator """
""" this code is complete and ready to use """
import random
import pandas as pd
from sklearn.naive_bayes import MultinomialNB
import helpers
#utility funtcion to compute area of overlap
def overlapping_area(detection_1, detection_2):
x1_tl = detection_1[0]
x2_tl = detection_2[0... | tqiu8/asl-cv | train_hand_detector.py | train_hand_detector.py | py | 5,815 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "helpers.getHandSet",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "helpers.convertToGrayToHOG",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "helpers.crop",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "random.ran... |
39069895078 | import time
import serial
import re
from .haversine import haversine
from threading import Thread
from datetime import datetime, timedelta
class Gps:
def __init__(self, serial_port: str, timezone_hours: int = 0, serial_baudrate: int = 9600, round_number: int = 2):
self.__serial = serial.Serial(serial_po... | policumbent/bob | modules/gps/src/steGPS/gps.py | gps.py | py | 5,732 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "serial.Serial",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "haversine.haversine... |
40687962293 | import json
import logging
import threading
import traceback
from enum import Enum
from typing import Any, Dict, List, Optional, Set, Tuple
from lte.protos.policydb_pb2 import FlowMatch
from magma.common.redis.client import get_default_client
from magma.configuration.service_configs import load_service_config
from mag... | magma/magma | lte/gateway/python/magma/pipelined/qos/common.py | common.py | py | 22,178 | python | en | code | 1,605 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "typing.Set",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "lte.protos.policydb_pb2.FlowMa... |
18648883751 | #!/usr/bin/env python3.7
import matplotlib
matplotlib.use('Agg')
import pylab as pl
from matplotlib import rc
import matplotlib.cm as cm
from matplotlib.colors import Normalize
rc('text', usetex=True)
import numpy as np
import numpy.linalg as nl
import numpy.random as nr
import os.path
from numpy import cos, sin
imp... | AmFamMLTeam/metric-space-magnitude | src/mobius.py | mobius.py | py | 2,198 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.path.splitext",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"... |
36696903435 | from typing import Dict, List
from tips.framework.actions.sql_action import SqlAction
from tips.framework.actions.sql_command import SQLCommand
from tips.framework.metadata.additional_field import AdditionalField
from tips.framework.metadata.table_metadata import TableMetaData
from tips.framework.metadata.column... | ProjectiveGroupUK/tips-snowpark | tips/framework/actions/append_action.py | append_action.py | py | 4,223 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "tips.framework.actions.sql_action.SqlAction",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tips.framework.metadata.table_metadata.TableMetaData",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 19,
"usage_... |
38029553646 | # 分数/概率视图
from rest_framework import generics, filters, status
from rest_framework.response import Response
from ..models import User, Score, Probability, Question, History, Detail
from ..serializer.results import ScoreSerializer, ProbabilitySerialzer
from ..serializer.history import HistorySerializer, DetailSerializer... | Frank-LSY/LungCancerModel | back/lungcancer/polls/view/results.py | results.py | py | 3,205 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.generics.CreateAPIView",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "serializer.results.ScoreSerializer",
"line_number": 13,
"usage_type": "n... |
70454780987 | #Libraries----------------------------------------------------------------------
"""
Dependencies and modules necessary for analytical functions to work
"""
#Cheminformatics
import rdkit
from rdkit import Chem
from rdkit.Chem import AllChem
from rdkit.Chem import Draw
from rdkit.Chem.Draw import IPythonConsole
from r... | AusteKan/Chemexpy | chemexpy/chemexpy/similarity_dendogram.py | similarity_dendogram.py | py | 2,593 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rdkit.Chem.AllChem.GetMorganFingerprintAsBitVect",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "rdkit.Chem.AllChem",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 49,
"usage_type": "call"
},
{
... |
34519324302 |
''' Pydantic Models '''
from datetime import datetime
from typing import List, Optional
from pydantic import BaseModel
class User(BaseModel):
id: int
name = "Yebin Lee"
signup_ts : Optional[datetime]=None
friends: List[int]=[]
external_data = {
"id":"123",
"signup_ts":"2017-06-01 12:2... | YebinLeee/fast-api | Study_FastAPI/pydantic_models.py | pydantic_models.py | py | 481 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.List",
... |
3981451688 | '''
Given a sorted list of numbers, change it into a balanced binary search tree. You can assume there will be no duplicate numbers in the list.
Here's a starting point:
'''
from collections import deque
class Node:
def __init__(self, value, left=None, right=None):
self.value = value
self.left = ... | MateuszMazurkiewicz/CodeTrain | InterviewPro/2019.11.22/task.py | task.py | py | 1,347 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 17,
"usage_type": "call"
}
] |
21360428026 | import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.impute import SimpleImputer
path1 = 'project_data/DC_Crime.csv'
path2 = 'project_data/DC_Properties.csv'
path3 = 'project_data/DC_crime_test.csv'
data = pd.read_csv(path1)
Features =['SHIFT', 'OFFENSE', 'METHOD','BID',"NEIGHBORHOOD_... | montpelllier/MA333_Introduction-to-Big-Data-Science | decisiontree.py | decisiontree.py | py | 1,129 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.impute.SimpleImputer",
"line_number": 18,
"usage_type": "call"
},
{
... |
17779473058 | #!/usr/bin/python3
"""Query reddit API for work count in hot list using recusion"""
import requests
def count_words(subreddit, word_list, after=None, count={}):
"""Count words in word_list in subreddit"""
if after is None:
subred_URL = 'https://www.reddit.com/r/{}/hot.json'.format(subreddit)
else:... | robertrowe1013/holbertonschool-interview | 0x13-count_it/0-count.py | 0-count.py | py | 1,364 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
}
] |
35471156635 | # -*- coding: utf-8 -*-
from torch import cuda
import transformers
from transformers import AutoTokenizer
from transformers import DataCollatorForTokenClassification, AutoConfig
from transformers import AutoModelForTokenClassification, TrainingArguments, Trainer
from datasets import load_metric, Dataset
import pandas... | Odeuropa/wp3-information-extraction-system | SmellClassifier/training/train.py | train.py | py | 13,483 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "transformers.set_seed",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "re.sub",
... |
41734453103 | from __future__ import absolute_import, unicode_literals
from lol_stats_api.helpers.redis import db_metadata, db_matchlist
from celery.decorators import task, periodic_task
from celery.schedules import crontab
from redis import Redis
from celery_singleton import Singleton, clear_locks
import os
from datetime import dat... | fabran99/LolStatisticsBackend | bard_app_api/lol_stats_api/tasks.py | tasks.py | py | 4,723 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "lol_stats_api.helpers.mongodb.get_mongo_stats",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "celery_singleton.clear_locks",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "lol_stats_api.celeryApp.app",
"line_number": 28,
"usage_type":... |
20763005925 | from datetime import datetime
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters import Text
from aiogram.types import Message, CallbackQuery, LabeledPrice, PreCheckoutQuery, ContentType, ShippingQuery
from data.config import PAYMENT_TOKEN
from data.shop_config import IS_PREPAYMENT, CURRENCY, N... | shehamane/kuriBot | src/handlers/users/ordering.py | ordering.py | py | 3,797 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "aiogram.types.CallbackQuery",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "aiogram.dispatcher.FSMContext",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "loader.dp.callback_query_handler",
"line_number": 16,
"usage_type": "call"
},... |
43266445764 | from urllib.request import urlopen
import json
import matplotlib.pyplot as plt
url = "http://cyrilserver.ddns.net:8080/hardware/esp32/all"
# store the response of URL
response = urlopen(url)
arrData = []
# storing the JSON response
# from url in data
data_json = json.loads(response.read())
for i in range(len(d... | Monest-eco/Tools | graphData/allData.py | allData.py | py | 434 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.py... |
40025821479 | from django.urls import path
from . import views
from .views import (
TicketCreateView,
AssignCreateView,
StatusCreateView,
StatusLstCreateView,
CgyCreateView,
CgyListView,
TicketListView
)
urlpatterns = [
path('', views.home, name='sticket-home'),
path('categories', C... | uppgrayedd1/webapp | webapp/sticket/urls.py | urls.py | py | 783 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "views.home",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.urls.path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "views.CgyListView.a... |
32328440349 | #--------------------------------- 라이브러리 ---------------------------------
# 소켓 관련 라이브러리
from PIL import Image, ImageFile
from io import BytesIO
import socket
from PIL import Image
import pybase64
# 모델 관련 라이브러리
from PIL import Image
import tensorflow as tf
from tensorflow.keras.applications import Res... | MultiFinal/Fish_Project | PC.py | PC.py | py | 8,991 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "influxdb_client.InfluxDBClient",
"line_number": 55,
"usage_type": "call"
},
... |
10430336572 | from pathlib import Path
import argparse
import sys
import random
from lib.conll import CoNLLReader
def main():
parser = argparse.ArgumentParser(description="""Extract data based on comments info""")
parser.add_argument('input', help="conllu file")
parser.add_argument('output', help="target file", type=Pa... | coastalcph/ud-conversion-tools | extract.py | extract.py | py | 2,049 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sys.stderr",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "lib.conll.CoNLLRe... |
74740608828 | from tkinter import *
from PIL import Image,ImageTk
from tkinter import messagebox
import pymysql
def bookRegister():
## When the user clicks the submit button this bookRegister function is run
# BookInfos are stored in these variables.
# and then these are uploaded to the database using the cursor metho... | DarkCodeOrg/library_management_system | AddBook.py | AddBook.py | py | 3,270 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.messagebox.showinfo",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "tkinter.messagebox.showinfo",
"line_number": 30,
"usage_type": "call"
},
{
"api_na... |
30906484831 | from reportlab.platypus import (SimpleDocTemplate, Paragraph, PageBreak, Image, Spacer, Table, TableStyle)
from reportlab.lib.styles import ParagraphStyle, getSampleStyleSheet
from reportlab.pdfgen import canvas
from reportlab.graphics.shapes import Line, LineShape, Drawing
from reportlab.lib.pagesizes import LETTER, i... | GregorMonsonFD/holmly_sourcing_legacy | scripts/python/pdfGen/page_format_handler.py | page_format_handler.py | py | 5,949 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "reportlab.pdfbase.pdfmetrics.registerFont",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "reportlab.pdfbase.pdfmetrics",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "reportlab.pdfbase.ttfonts.TTFont",
"line_number": 13,
"usage_type"... |
30804251376 | from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
driver = webdriver.PhantomJS()
driver.get('http://fund.eastmoney.com/fund.html')
page_text = driver.find_element_by_id('pager').find_element_by_xpath('span[@class="nv"]').text
page_count = ''.join(filter(str.isdigit, pag... | bobchi/learn_py | 14.py | 14.py | py | 1,125 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.PhantomJS",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 21,
"usage_type": "call"
}
] |
3847347050 | import matplotlib
matplotlib.use('Agg')
import numpy as np
import tinyarray
import matplotlib.pyplot as plt
from scipy.sparse import spdiags
from scipy.sparse import eye
from scipy.sparse import kron
from scipy.sparse.linalg import inv
from scipy.sparse import csr_matrix
import adaptive
from functools import partial
fr... | hainingpan/nanowire_matlab | Ldos_dis.py | Ldos_dis.py | py | 5,110 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "tinyarray.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tinyarray.array",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tinyarray.array",
"... |
3029439171 | #!/usr/bin/env python3
import os
import csv
import sys
import matplotlib.pyplot as plt
# Get theta values from file (if it exists)
def readTheta (thetaFile):
theta0 = 0
theta1 = 0
dataFile = ""
if os.path.isfile(thetaFile):
with open(thetaFile, newline='') as csvfile:
spamreader = ... | cclaude42/ft_linear_regression | estimate.py | estimate.py | py | 3,472 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.isfile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": ... |
30571932153 | import asyncio
import datetime
from queue import PriorityQueue
import validators
import youtube_dl
class Player:
queue = asyncio.Queue()
# queue = PriorityQueue()
play_next_song = asyncio.Event()
next_song = None
youtube_dl.utils.bug_reports_message = lambda: ''
ytdl_format_options = {
... | MKA01/grajdelko | pl/savera/grajdelko/player/Player.py | Player.py | py | 3,155 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "asyncio.Queue",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "asyncio.Event",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "youtube_dl.utils",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "youtube_dl.YoutubeD... |
74131023869 | #!/usr/bin/python
# Ce programme envoie la chaine 12345678 vers TTN
# Importer les bibliothèques
import serial
import time
# Définition des flags
is_join = False # On peut joindre la carte
is_exist = False # La carte Grove LoRa E5 a été détectée
# Définition du timeout
read_timeout = 0.2
# Créer ... | framboise314/Seeedstudio-Grove-E5-LoRa | programmes/lora-E5.py | lora-E5.py | py | 2,569 | python | fr | code | 3 | github-code | 6 | [
{
"api_name": "serial.Serial",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 54,... |
18100621514 | """
1971. Find if Path Exists in Graph
https://leetcode.com/problems/find-if-path-exists-in-graph/
"""
from typing import List, Tuple
from unittest import TestCase, main
class UnionFind:
def __init__(self, n: int) -> None:
self.root = list(range(n))
def find(self, a: int) -> int:
"""Returns t... | hirotake111/leetcode_diary | leetcode/1971/solution.py | solution.py | py | 2,023 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_nu... |
30324581341 | import os, sys, re, pickle, json
import numpy as np
import cv2
import pandas as pd
def get_seq(seq_dir, seq_name):
seq_file = seq_dir + "/" + seq_name + ".pkl"
seq = pickle.load(open(seq_file, "rb"), encoding='latin1')
return seq
def get_3dkeypoints(seq, frame_id, model_id):
"""
SMPL joints
... | egirgin/occlusionIndex | 3dpw/src/utils.py | utils.py | py | 4,338 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pickle.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.expand_dims",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "cv2.projectPoints",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "numpy.squeeze",
"l... |
4669064041 | from Bio.Seq import Seq
with open('rosalind_ba1b.txt') as file:
text = file.readline().rstrip()
k = int(file.readline().rstrip())
def get_pattern_count_dict(text, length=3):
pattern_dict = {}
seq = Seq(text)
for i in range(len(text) - length + 1):
pattern = text[i:i + length]
if p... | Partha-Sarker/Rosalind-Problems | Lab Assignment - 1/chapter 1/ba1b Find the Most Frequent Words in a String.py | ba1b Find the Most Frequent Words in a String.py | py | 987 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "Bio.Seq.Seq",
"line_number": 10,
"usage_type": "call"
}
] |
7485160594 | from datetime import datetime
from os.path import basename
from types import SimpleNamespace
import math
import numpy as np
__version__ = "2020.10.06"
def solve(length, supports, loads, EI, GA, top, bottom, shear): # {{{
"""Solve the beam problem.
Arguments:
length: The length of the beam in mm. Th... | rsmith-nl/beammech | beammech.py | beammech.py | py | 18,941 | python | en | code | 26 | github-code | 6 | [
{
"api_name": "numpy.sum",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "numpy.cumsum",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 71,... |
36261973545 | from collections import deque
def solution1(graph):
queue = deque([(0,0,0)])
n = len(graph)
m = len(graph[0])
while queue:
x,y,v = queue.popleft()
if x>=n or y>=m or x<0 or y<0:
continue
if graph[x][y] == 1:
graph[x][y] += v
queue.append((x+1... | hon99oo/PythonAlgorithmStudy | 이코테/DFS_BFS/예제_미로 탈출/solution.py | solution.py | py | 1,924 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 35,
"usage_type": "call"
}
] |
34042177473 | import datetime
import logging
from django.contrib import auth
from django.http import HttpResponseRedirect, HttpResponseNotFound
from django.utils.translation import check_for_language
from django.shortcuts import render
from blueapps.account.components.bk_token.forms import AuthenticationForm
from gcloud.core.signa... | caiyj/bk-sops | gcloud/core/views.py | views.py | py | 2,776 | python | en | code | null | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "gcloud.conf.settings.STATIC_URL",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "gcloud.conf.settings",
"line_number": 17,
"usage_type": "name"
},
{
"api_n... |
19265168130 | import smtplib
from email.message import EmailMessage, MIMEPart
import time
from typing import Tuple
class SendAMessage():
def __init__(self,action,msg_body,config,attach=None):
self.config = config
self.msg_body = msg_body
self.attach = attach
self.action = action
self.set... | netmet1/constellation-node-automation | classes/send_sms_email.py | send_sms_email.py | py | 2,744 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "time.sleep",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "email.message.EmailMessage",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "smtplib.SMTP",
"line_number": 69,
"usage_type": "call"
}
] |
6836155009 | # -*- coding: utf-8 -*-
from windows import DSFWindow, PlateResWindow
from epyparser import viia_parser, exparser
from matplotlib.pyplot import figure, show
from optim import linmelt
from scipy import array, sqrt
import csv
def info(args):
if args.csv_wells is not None:
well_info = exparser(args.csv_wells,... | pozharski/epydsf | dsfactions.py | dsfactions.py | py | 5,760 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "epyparser.exparser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "epyparser.viia_parser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "win... |
26008064699 | import json
from pathlib import Path
def get_average_mark_student(student):
overall_mark = 0
for mark in student:
if mark in subjects:
overall_mark += student[mark]
student['average'] = overall_mark / len(subjects)
return student # return student report card with added average mar... | 1lubo/Student-Performance | main.py | main.py | py | 2,482 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 43,
"usage_type": "call"
}
] |
19990663885 | from django.conf.urls import url
from . import views
# 编写url尤其注意正则表达式匹配字符串的结尾，否则会引起冲突而达不到理想中的效果
urlpatterns = [
url(r'^$', views.index),
url(r'^(\d+)/$', views.detail),
url(r'^grades/$', views.grades),
url(r'^students/$', views.students),
url(r'^grades/(\d+)$', views.gradeStudents),
url(r'^a... | Evanavevan/Django_Project | Project1/MyApp/urls.py | urls.py | py | 427 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.co... |
15757093517 | from flask import Flask, request, abort
import os
import face_detect as f # face_detect.py
import base64
from linebot import (
LineBotApi, WebhookHandler
)
from linebot.exceptions import (
InvalidSignatureError
)
from linebot.models import (
MessageEvent, TextMessage, TextSendMessage, ImageMessage #ImageMes... | kentamseisyou/myahutest | main.py | main.py | py | 2,201 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "linebot.LineBotApi",
... |
13415308592 | from pickletools import uint8
import time
import numpy as np
from onnxruntime import InferenceSession
import cv2
import numpy as np
# 加载ONNX模型
sess = InferenceSession('output.onnx')
image = cv2.imread('38.jpg')
image=cv2.resize(image,(1024,512))
cv2.normalize(image,image,0,255,cv2.NORM_MINMAX)
#print(image)
image=ima... | Tommy-Bie/Logistics-Package-Separation-Software | DatasetUtils/test.py | test.py | py | 763 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "onnxruntime.InferenceSession",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.normalize",
... |
22949757973 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# k2hat.py - Waqas Bhatti (wbhatti@astro.princeton.edu) - 07/15
# License: MIT. See the LICENCE file for license text.
'''
This contains functions for reading K2 CSV light-curves produced by the HAT
Project into a Python dictionary. Requires numpy.
The only external func... | waqasbhatti/astrobase | astrobase/hatsurveys/k2hat.py | k2hat.py | py | 25,449 | python | en | code | 50 | github-code | 6 | [
{
"api_name": "logging.DEBUG",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 68,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "logging.basicC... |
28199024080 | import logging
import os
import json
from flask import Flask
from flask_ask import Ask, request, session, question, statement
import datetime as DT
os.system('sh transactions.sh > output.json')
data = json.load(open('output.json'))
app = Flask(__name__)
ask = Ask(app, "/")
logging.getLogger('flask_ask').setLevel(logg... | Interplay/HoyaHacks-18 | main.py | main.py | py | 6,607 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.system",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_ask.Ask",
"line_number": 12,
... |
28075967300 | import numpy as np
import matplotlib
matplotlib.use("Qt5Agg")
print("BACKEND: ", matplotlib.get_backend())
from matplotlib import pyplot as plt
import utility as ut
import network as nt
from tqdm import tqdm as tqdm
import plot as pt
delta_T = 1e-3
# bars
spiking_input = False
dim = 8
n_outputs = 2*dim
n_inputs = dim... | zimmerrol/spiking-bayesian-networks | bars_binary.py | bars_binary.py | py | 1,960 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "matplotlib.get_backend",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "utility.generate_bars",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.resha... |
70267336189 |
import config
from epyk.core.Page import Report
# Create a basic report object
page = Report()
page.ui.text("#This is a text", options={"markdown": True})
page.ui.button("This is a test").click([
page.js.alert("test")
])
page.outs.publish(server="node", app_path=config.OUTPUT_PATHS_LOCALS_TS, module=config.OUT_F... | epykure/epyk-templates | web/app_nodejs.py | app_nodejs.py | py | 328 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "epyk.core.Page.Report",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "config.OUTPUT_PATHS_LOCALS_TS",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "config.OUT_FILENAME",
"line_number": 14,
"usage_type": "attribute"
}
] |
13389188618 | from __future__ import print_function
import torch
import torchvision
from torchvision import transforms
import torch.nn as nn
import torch.nn.functional as F
from torchvision import models
class Vgg16c(torch.nn.Module):
def __init__(self):
super(Vgg16c, self).__init__()
vgg_pretrained... | jhilikb/NLBM | model/vgg_nlbm_cuhk.py | vgg_nlbm_cuhk.py | py | 7,190 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torchvision.models.vgg16",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "torch.nn.Se... |
74918964666 | import re
from collections import defaultdict
XMIN = -2
def find(rules,current):
if len(current) < 5:
return ""
if current in rules:
return rules[current]
elif len(current) == 5:
return "."
else:
size = len(current)
left=find(rules,current[0:size-1])
rig... | aarroyoc/advent-of-code-2018 | python/day12/day12_2.py | day12_2.py | py | 1,670 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 22,
"usage_type": "call"
}
] |
7074661101 | import pandas as pd
import pandas_datareader as web
import matplotlib.pyplot as plt
import datetime as dt
start = dt.datetime(2021,1,1)
end = dt.datetime.now()
ticker_symbol = input('Enter the stock ticker which you wish to analyse: ')
data = web.DataReader(ticker_symbol, 'yahoo', start, end)
#print(data)
delta = ... | amanpanditap/Python_Projects | finance_python/technical_stock_analysis/technical_stock_analysis.py | technical_stock_analysis.py | py | 2,507 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pandas_da... |
5510824333 | from detectron2.engine import DefaultPredictor
from detectron2.config import get_cfg
import cv2
import numpy as np
from detectron2 import model_zoo
cfg = get_cfg()
cfg.merge_from_file(model_zoo.get_config_file("COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml"))
cfg.MODEL.ROI_HEADS.NUM_CLASSES = 1
cfg.MODEL.WEIGHTS... | hoainv99/mc-ocr | modules/image_segmentation/predict.py | predict.py | py | 1,630 | python | en | code | 26 | github-code | 6 | [
{
"api_name": "detectron2.config.get_cfg",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "detectron2.model_zoo.get_config_file",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "detectron2.model_zoo",
"line_number": 7,
"usage_type": "name"
},
{
"... |
18886739040 | import re
import ast
from tkinter import Tk, Button, Text, Scrollbar, END
from pathlib import Path
from retroperm.project import RetropermProject
from retroperm.rules import Rule
from retroperm.rules.filesystem_rule import FilesystemRule
from retroperm.rules.ban_library_function_rule import BanLibraryFunctionRule
from... | SpiritSeal/retroperm | ui/gui2.py | gui2.py | py | 3,484 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "retroperm.project.RetropermProject",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "retroperm.project.RetropermProject",
"line_number": 29,
"usage_type": "call"
},
{
... |
39508101385 | import numpy as np
import matplotlib.pyplot as plt
baseline = np.loadtxt('sub-AD4009_ses-baseline_acq-AP_date-2011-07-07_trc-av45_pet.csv', delimiter=',')
followup = np.loadtxt('sub-AD4009_ses-followup_acq-AP_date-2013-07-03_trc-av45_pet.csv', delimiter=',')
prediction = followup + np.random.normal(0, .025, size=foll... | SanoScience/MP-spreading-prediction | pictures/Graphical_abstract/plot.py | plot.py | py | 1,090 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "numpy.loadtxt",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line... |
31490583356 | from django.contrib.auth import authenticate, login
from django.contrib.auth import logout
from django.shortcuts import render, redirect
from django.http import JsonResponse
import PathFinder.PathFinderModels.pathfinder_chat_bot as qamodel
from langchain.vectorstores import Pinecone
from langchain.embeddings.open... | Susa0823/PathFinderProject | PathFinder/PathFinderApp/views.py | views.py | py | 16,953 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ.get",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "pinecone.init",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "langchain.vectorstores.P... |
5683288254 | import torch.nn as nn
from torch.nn.parameter import Parameter
import torch
import torch.nn.functional as F
class DNN(nn.Module):
def __init__(self, n_input, n_hidden, n_output, real):
super(DNN, self).__init__()
self.loss = 0
self.hidden1 = nn.Linear(n_input, n_hidden, True)
... | asd1354403003/NON | DNN.py | DNN.py | py | 637 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
23978857817 | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
def compute_dct_coeffs(blockSize):
T = np.zeros((blockSize, blockSize))
T[0, :] = np.sqrt(1.0/blockSize)
for i in range(1, blockSize):
for j in range(blockSize):
T[i][... | vince-robin/Image-compression | soft/functions/dct.py | dct.py | py | 3,672 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 14,
... |
45342937416 | import torch
import numpy as np
import torch.nn as nn
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
import torch.nn.functional as F
from torch.autograd import Variable
from allennlp.modules.augmented_lstm import AugmentedLstm
from allennlp.modules.input_variational_dropout import InputVariati... | makyr90/DL_Syntax_Models | Biaffine_parser_PyTorch/char_lstm.py | char_lstm.py | py | 4,586 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
8747023453 | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 19 13:34:12 2019
@author: ADMIN
"""
import AllFunctions as af
import pandas as pd
import numpy as np
import pandas_profiling
#import H2OHandler as hh
df=pd.read_csv('train.csv')
orgCC = df['cc_cons'].copy()
df['isTrain']=True
df2=pd.read_csv('test.csv')
df2['isTrain']=... | kinjaldand/MLProjects | CreditCardConsumptionPatternAMEX/InitialExplore.py | InitialExplore.py | py | 10,737 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "AllFunctions.getDFDesc",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "AllFunctions.g... |
72231186747 | from __future__ import print_function, division, unicode_literals
import os
import yaml
from pymatgen.io.vasp.inputs import Kpoints, Incar
from pymatgen.io.vasp.outputs import Vasprun
import twod_materials.utils as utl
from pymatgen.matproj.rest import MPRester
from monty.serialization import loadfn
import twod_ma... | ashtonmv/twod_materials | twod_materials/pourbaix/startup.py | startup.py | py | 9,663 | python | en | code | 18 | github-code | 6 | [
{
"api_name": "twod_materials.__file__.replace",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "twod_materials.__file__",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "monty.serialization.loadfn",
"line_number": 22,
"usage_type": "call"
},
... |
21253269122 | from django.urls import path
from .views import TagContentView #导入TagContentView
from .views import XieyiConfigDateView
from .views import NodeConfigMakeDevRequest,NodeConfigCopyRequest,NodeConfigReadAndSaveRequest,NodeConfigDeleteRequest
from .views import XieyiConfigDateOrderView,XieyiTestCaseView,SenderHexDataOrd... | wawj901124/shangbaogongju | apps/shucaiyidate/urls.py | urls.py | py | 3,118 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "views.TagContentView.as_view",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "views.TagContentView",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "dj... |
6428170708 | # File: LangChainchatOpenAI.py
# Author: Denys L
# Date: October 8, 2023
# Description:
import os
import sys
import hashlib
from typing import Any
import streamlit as st
from dotenv import load_dotenv
from langchain.callbacks.base import BaseCallbackHandler
from fundamentals.langchain_utils import StuffSummarizerByCh... | lyepustin/bookNLP | app.py | app.py | py | 2,293 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "langchain.callbacks.base.BaseCallbackHandler",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "streamlit.session_state",
"line_number": 19,
"usage_type": "attribute"
},
{
... |
23138969943 |
import argparse
from random import sample
def load_data(fr_file,fw_file):
all_users = []
all_moives = []
for lines in fr_file:
if lines.startswith('i'):
all_moives.append(lines.replace('\n',''))
if lines.startswith('u'):
all_users.append(lines.replace('\n',''))
... | 55TFSI/RKGE | all_paths.py | all_paths.py | py | 1,138 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.sample",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 29,
"usage_type": "call"
}
] |
43263411443 | def plot_data_with_fit(data, fit_curve, format_x, format_y):
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.pyplot as mp
mp.title('Final Curve Plot')
format_x
format_y
plt.scatter(data[0],data[1], label='Data', s=1,)
plt.plot(fit_curve[0],fit_curve[1], ... | UW-ParksidePhysics/Delgado-Omar | plot_data_with_fit.py | plot_data_with_fit.py | py | 352 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.title",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "mat... |
10909511760 | from datetime import datetime
from settings import ORDER_TTL, TCS_ACCOUNT_ID
from tinkoff.invest import OrderDirection, OrderType
from tinkoff.invest.schemas import StopOrderDirection as SODir
from tinkoff.invest.schemas import StopOrderExpirationType as SType
from tinkoff.invest.schemas import StopOrderType as SOType... | holohup/trademan-1.0-alpha-public | bot/tools/adapters.py | adapters.py | py | 3,580 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "tinkoff.invest.OrderDirection.ORDER_DIRECTION_SELL",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tinkoff.invest.OrderDirection",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tinkoff.invest.OrderDirection.ORDER_DIRECTION_BUY",
"li... |
37366648878 | import configparser
working_dir_list = ['./examples/test-ex1-50d/', './examples/test-ex2']
task_name_list = ['example 1', 'example 2']
task_id = 1
conjugated_eigvec_flag = 0
with_FVD_solution = False
#with_FVD_solution = True
working_dir_name = working_dir_list[task_id]
task_name = task_name_list[task_id]
# read p... | zwpku/EigenPDE-NN | plot_scripts/common.py | common.py | py | 954 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 16,
"usage_type": "call"
}
] |
410815561 | from typing import Tuple
import jax
import jax.numpy as jnp
import jax.scipy.linalg as linalg
from numpy.typing import ArrayLike
def transition_function(F: jnp.array, u: jnp.array, L: jnp.array, h: float, n_linspace=10000) -> Tuple[
ArrayLike, ArrayLike,
ArrayLike]:
r"""
A prior of the form
\... | hallelujahylefay/bayesianSDEsolver | bayesian_sde_solver/ode_solvers/probnum/transition_function.py | transition_function.py | py | 1,114 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "jax.numpy.array",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "jax.numpy",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "jax.numpy.linspace",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "jax.numpy",
"line... |
17689667482 | import torch
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
no_resBlocks = 16
HR_shape = 96
train_data_path = '../data/train'
val_data_path = '../data/val'
advLossFactor = 0.001
VGGLossFactor = 0.006
mse_lr = 0.0001
mse_epochs = 700
initial_lr = 0.0001
second_lr = 0.00001
gan_epochs = 140
batch_... | abed11326/Training-a-Super-Resolution-GAN-for-4x-image-upscaling | hypParam.py | hypParam.py | py | 365 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 3,
"usage_type": "attribute"
}
] |
75112397948 | from flask import Flask, render_template, request, redirect, url_for
import requests
app = Flask(__name__)
@app.route("/", methods=["GET", "POST"])
def index():
try:
nom = request.form['NOM']
prenom = request.form['PRENOM']
email = request.form['EMAIL']
return redirect(url_for(".t... | Foodjubi/fortnite-news | app.py | app.py | py | 4,379 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "flask.request.form",... |
12026015047 | import pygame
# Global Consts
# Colors
BLACK = ( 0, 0, 0)
WHITE = ( 255, 255, 255)
BLUE = ( 0, 0, 255)
RED = ( 255, 0, 0)
GREEN = ( 0, 255, 0)
SCREEN_WIDTH = 800
SCREEN_HEIGHT = 600
class Player(pygame.sprite.Sprite):
# -- Attribute
# Set speed vector
change_x = 0... | danielp28/Python-Testing | platformer.py | platformer.py | py | 8,838 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.sprite",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pygame.Surface",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pygame.sprite.spritecollide",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "pygame.... |
72531854269 | from typing import Final
import sqlalchemy as sa
def column_created_datetime(*, timezone: bool = True) -> sa.Column:
return sa.Column(
"created",
sa.DateTime(timezone=timezone),
nullable=False,
server_default=sa.sql.func.now(),
doc="Timestamp auto-generated upon creation",... | ITISFoundation/osparc-simcore | packages/postgres-database/src/simcore_postgres_database/models/_common.py | _common.py | py | 2,235 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "sqlalchemy.Column",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.DateTime",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.sql.func.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlalchem... |
24177027496 | import pygame
from pygame.locals import *
class MyPlane(pygame.sprite.Sprite):
def __init__(self,bg_size, screen):
pygame.sprite.Sprite.__init__(self)
self.screen = screen
self.image1 = pygame.image.load('../img/hero1.png').convert_alpha()
self.image2 = pygame.image.load('../img/he... | daniel-yaoyuan/paperplane | src/hero.py | hero.py | py | 4,088 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.sprite",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pyga... |
71723953788 | # coding:utf-8
import datetime
from sqlalchemy import Column, Integer, DateTime, Numeric, create_engine, VARCHAR
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from config import DB_CONFIG, DEFAULT_SCORE
'''
sql操作的基类
包括ip，端口，types类型(0高匿名，1透明)，protocol(0 http,1 https ht... | xindemeng/python-projects | jd_spider/jd_spider/db/SqlHelper.py | SqlHelper.py | py | 6,761 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 20,
"usage_type": "argument"
},
{
... |
18573808607 | from Utilities import say
import Utilities
import json
import Room
class Thing:
"""The basic class for all non-Room objects in the game"""
def __init__(self, id, name):
self.id = id
self.name = name
self.adjectives = []
self.alternate_names = []
# how the item should appear in a list. A book. An apple. A ... | LindseyL610/CS467-AdventureProject | Thing.py | Thing.py | py | 66,406 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "Room.Room",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 115,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 136,
"usage_type": "call"
},
{
"api_name": "Utilities.say",
"line_numb... |
14712071511 | from fastapi import APIRouter, Header
from fastapi.exceptions import HTTPException
from client import get_ccxt_client
router = APIRouter()
@router.get("/info/")
async def list_markets(x_connection_id: str = Header()):
try:
client = get_ccxt_client(x_connection_id)
return client.load_markets()
... | masked-trader/raccoon-exchange-service | src/server/routes/market.py | market.py | py | 2,242 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "fastapi.Header",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "client.get_ccxt_client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "client.load_ma... |
5539453892 | import cv2
import numpy as np
"""
YUV란?
빛의 밝기를 나타내는 휘도(Y)와 색상신호 2개(U, V)로 표현하는 방식이다.
The Y′UV model defines a color space in terms of one luma component (Y′) and
two chrominance components, called U (blue projection) and V (red projection) respectively.
Y = 0.299R + 0.587G + 0.114B
"""
src = cv2.imread('../resou... | daebakk/Image-Processing | Assignment/Fundamentals of Image processing/BGRToY.py | BGRToY.py | py | 794 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2YUV",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"lin... |
7755753027 | from __future__ import absolute_import
from __future__ import unicode_literals
import argparse
from .. import api, utils
from ..command import Command, CMD_SUCCESS, HELP_LIST
from ..exceptions import InvalidDateError, NotFoundError, WrappedValueError
class Log(Command):
"""List enrollment information available ... | timhayduk/glusterDashboard | gitlab/lib/python3.5/site-packages/sortinghat/cmd/log.py | log.py | py | 4,198 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "command.Command",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "command.HELP_LIST",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "exceptions.... |
70096885309 | from collections import deque
def solution(progresses, speeds):
progresses = deque(progresses)
speeds = deque(speeds)
answer = []
while progresses:
count = 0
for i in range(len(speeds)):
progresses[i] += speeds[i]
while True:
if progresses[0] < 100:
... | YooGunWook/coding_test | 프로그래머스_복습/스택_기능개발.py | 스택_기능개발.py | py | 697 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 6,
"usage_type": "call"
}
] |
39671957475 | """ Класс для работы с контестами """
import os
import re
import json
import string
import shutil
import configparser, itertools
from collections import OrderedDict
from bs4 import BeautifulSoup
from mysite import settings
from .models import Cntsregs, Logins, Contests, Problems
from problems.classes import ProblemsCre... | Raftor74/ejudge-web-app | contests/classes.py | classes.py | py | 19,662 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "collections.OrderedDict",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "collections.OrderedDict.__setitem__",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 23,
"usage_type": "name"
},
{
... |
42435364768 | import threading
import time
import PySimpleGUI as sg
import psutil
from pathlib import Path
import subprocess
def is_running(process_name):
running = False
for proc in psutil.process_iter():
if process_name in proc.name():
running = True
break
return running
def the_thre... | activatedtmx/GTAV-Auto-DLL-Injector | injector.py | injector.py | py | 5,140 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "psutil.process_iter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Window",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",... |
6642507334 | from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from .serializer import perfil_usuarioSerializer
from .models import perfil_usuario
@api_view(['GET', 'POST'])
def lista_usuarios(request):
if request.method == 'GET':
users = perfi... | MarcoToloza/Caso_A_Parte-2-API | Api_qr/AppPi/views.py | views.py | py | 1,057 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.perfil_usuario.objects.all",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.perfil_usuario.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "models.perfil_usuario",
"line_number": 10,
"usage_type": "name"
},... |
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