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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
71015513315 | # Title: 우수 마을
# Link: https://www.acmicpc.net/problem/1949
import sys
from collections import defaultdict
sys.setrecursionlimit(10 ** 6)
read_single_int = lambda: int(sys.stdin.readline().strip())
read_list_int = lambda: list(map(int, sys.stdin.readline().strip().split(' ')))
def get_max(vil: int,... | yskang/AlgorithmPractice | baekjoon/python/best_vilage_1949.py | best_vilage_1949.py | py | 1,357 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.read... |
12282411056 | import ply.lex as lex
from ply.lex import TOKEN
class Lexer:
tokens = (
"WORD",
"APOSTROPH",
"NEWLINE",
"OTHERS",
)
large_alpha = "[ΑἈἌᾌἊᾊἎᾎᾈἉἍᾍἋᾋᾋἏᾉΆᾺᾼ]"
large_epsilon = "[ΕἘἜἚἙἝἛΈῈ]"
large_eta = "[ΗἨἬᾜἪᾚἮᾞᾘἩἭᾝἫᾛᾛἯᾙΉῊῌ]"
large_iota = "[ΙἸἼἺἾἹἽἻἿΊῚΪ]"
la... | ohmin839/pyplgr | pyplgr/plgrcoll/lexer.py | lexer.py | py | 2,770 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "ply.lex.TOKEN",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "ply.lex.lex",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "ply.lex",
"line_number": 75,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 89,
... |
74863567394 | import time
import gql
from gql.transport.aiohttp import AIOHTTPTransport
from gql.transport.exceptions import TransportError
class MidosHouse:
def __init__(self):
self.client = gql.Client(transport=AIOHTTPTransport(url='https://midos.house/api/v1/graphql'))
self.cache = None
self.cache_e... | deains/ootr-randobot | randobot/midos_house.py | midos_house.py | py | 1,113 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "gql.Client",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "gql.transport.aiohttp.AIOHTTPTransport",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.monotonic",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time... |
27576774668 | import numpy as np
import cv2 as cv
img = cv.imread("Resources/test.png")
gray = cv.cvtColor(img,cv.COLOR_BGR2GRAY)
cv.imshow("Gray", gray)
lap = cv.Laplacian(gray,cv.CV_64F)
lap = np.uint8(np.absolute(lap))
cv.imshow("Laplacian", lap)
cv.waitKey(0) | SafirIqbal/Demo-repo | Laplacian.py | Laplacian.py | py | 261 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cv2.imshow",
"line_n... |
14841507583 | #!/usr/bin/env python
import argparse
from termcolor import colored
from app import App
from constants import ERROR_COLOR, KEY_COLOR, INFO_COLOR
from utils import did_you_mean
def run():
parser = argparse.ArgumentParser(description='Command line key-value store.',
add_help=Fal... | vinu76jsr/kaboom | kaboom/kaboom.py | kaboom.py | py | 1,158 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "app.App",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "termcolor.colored",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "constants.ERROR_COL... |
12834853666 | import json
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class User(Base):
__tablename__ = 'users'
id = Column(Integer, primary_key=True)
age = Column(Integer)
inc... | nicholascgilpin/lifeman | database.py | database.py | py | 2,710 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 10,
"usage_type": "argument"
},
{
... |
2071335048 | import json
import logging
import os
import re
import sys
import time
import requests
def get_logger(name):
log_file = os.getenv('DISKU_LOG_FILE')
if log_file:
log_handler = logging.FileHandler(log_file)
else:
log_handler = logging.StreamHandler(sys.stdout)
log_handler.setFormatter(lo... | Inndy/disku | disku.py | disku.py | py | 8,386 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.FileHandler",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
... |
72116071075 | """
Utilities for testing
"""
from collections import namedtuple
import numpy as np
from .callbacks import ConvergenceCallback
from .cpd import GaussianCPD
from .irt import BayesNetLearner
from .node import Node
EPSILON = 1e-3
NUM_TRIALS = 3
NUM_ITEMS = 50
NUM_INSTR_ITEMS = 0
NUM_LATENT = 1
NUM_CHOICES = 2
NUM_RESP... | Knewton/edm2016 | rnn_prof/irt/testing_utils.py | testing_utils.py | py | 6,559 | python | en | code | 58 | github-code | 1 | [
{
"api_name": "collections.namedtuple",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "numpy.copy",
"line... |
42896773895 | import torch
import torch.nn as nn
import torch.nn.functional as F
from transformers import *
from transformers.modeling_roberta import RobertaLMHead
from transformers.modeling_bert import BertOnlyMLMHead
class BertMLM(BertPreTrainedModel):
"""BERT model with the masked language modeling head.
"""
def __i... | alexa/ramen | code/src/models.py | models.py | py | 5,251 | python | en | code | 17 | github-code | 1 | [
{
"api_name": "transformers.modeling_bert.BertOnlyMLMHead",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.masked_select",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.cross_entropy",
"line_number": 33,
"usage_type": "call... |
19063572783 | from __future__ import annotations
import dataclasses
import enum
import grpc
from tensorflow_serving.apis.model_pb2 import ModelSpec
from tensorflow_serving.apis.model_service_pb2_grpc import ModelServiceStub
from tensorflow_serving.apis.prediction_service_pb2_grpc import PredictionServiceStub
from tensorflow_serving... | nanaya-tachibana/sknlp-server | sknlp_serving/tfserving.py | tfserving.py | py | 6,178 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "enum.Enum",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.core.framework.types_pb2.DataType",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 51,
"usage_type": "attribute"
},
{... |
12179042424 | from itertools import dropwhile
from io_utils import read_file, write_file
def clear_missed_rides(rides, max_time, ctime):
time_left = max_time - ctime
if rides and rides[0].score > time_left:
rides = list(dropwhile(lambda x: x.score > time_left, rides))
return rides
def run_example(input_file,... | bonheml/hashcode_2018 | main.py | main.py | py | 792 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "itertools.dropwhile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "io_utils.read_file",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "io_utils.write_file",
"line_number": 25,
"usage_type": "call"
}
] |
29121079371 | from selenium import webdriver
import time
from selenium.common.exceptions import NoSuchElementException
import random
class amdAutomation():
def __init__(self):
self.driver = None
def setWebsiteLocation(self, link):
self.driver = webdriver.Chrome('/Users/chiraag/chromedriver')
self.d... | crekhari/Graphics-Card-Auto-Checkout-Bot | src/amd.py | amd.py | py | 1,348 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "selenium.common.exceptions.NoSuchElementException",
"line_number": 27,
"usage_type": "name"
... |
13885704764 | from time import perf_counter_ns # Calcul temps d'exécution
import matplotlib.pyplot as plt # Graphes
def InsertSort(l):
"""
entree :
--------
l : liste d’entier ou réel
liste à trier
Sortie :
--------
l : liste triée
Attention la liste initiale est modifiée.
""... | Ilade-s/Sorting-Algorithms | TriInsertions.py | TriInsertions.py | py | 3,080 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.title",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 80,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "matp... |
6819650595 | from flask import render_template, Blueprint
from app.model import Article, User, Category, Tag
blueprint = Blueprint('front', __name__, template_folder='templates')
@blueprint.route("/")
def index():
result = Article.query.getall()
categorys = Category.query.all()
#tags = Tag.query.all()
temp = Arti... | romasport/coolflask | app/view/front.py | front.py | py | 1,022 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Blueprint",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "app.model.Article.query.getall",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "app.model.Article.query",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name... |
72276045475 | import pygame
class Sprite(pygame.sprite.Sprite):
def __init__(self, groups=[]):
super().__init__(groups)
# The state for the sprite
self.state = "released"
self.mouse_state = "released"
# This makes sure that the rect actually exists
# self.rect = sel... | LeoTheMighty/ApocalypseLater | ui/Sprite.py | Sprite.py | py | 1,761 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pygame.sprite",
"line_number": 4,
"usage_type": "attribute"
}
] |
74345211234 | #
# @lc app=leetcode.cn id=122 lang=python3
#
# [122] 买卖股票的最佳时机 II
#
from typing import List
# @lc code=start
class Solution:
def maxProfit(self, prices: List[int]) -> int:
#---------------------------------------------------------------#
# 贪心算法
# 计算相隔两天的利润
# 利润为正就sum++
... | Zigars/Leetcode | 贪心算法/122.买卖股票的最佳时机-ii.py | 122.买卖股票的最佳时机-ii.py | py | 701 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
}
] |
12752768218 | """
These modules are responsible for scheduling model transfers while adhering to bandwidth limitations of both the
sending and receiving party.
"""
import logging
import random
from asyncio import Future, get_event_loop, InvalidStateError
from typing import List, Dict
from ipv8.taskmanager import TaskManager
class... | devos50/decentralized-learning | simulations/bandwidth_scheduler.py | bandwidth_scheduler.py | py | 14,192 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "ipv8.taskmanager.TaskManager",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.List",
... |
29490050611 | import collections
import numpy as np # type: ignore
import random
from typing import List, Tuple, Union
class SkipGramBatcher:
"""Encapsulate functionality for getting the next batch for SkipGram from a single list of ints (e.g. from a
single text with no sentences). Use SkipGramListBatcher for Node2Vec.... | LeoPompidou/embiggen | embiggen/w2v/skip_gram_batcher.py | skip_gram_batcher.py | py | 4,263 | python | en | code | null | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number... |
12844050855 | import numpy as np
import cv2
def get_matrix_2D(center, rot, trans, scale):
ca = np.cos(rot)
sa = np.sin(rot)
sc = scale
cx = center[0]
cy = center[1]
tx = trans[0]
ty = trans[1]
t = np.array([[ca * sc, -sa * sc, sc * (ca * (-tx - cx) + sa * ( cy + ty)) + cx],
[sa * s... | mqne/GraphLSTM | region_ensemble/transformations.py | transformations.py | py | 1,583 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "numpy.cos",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.hstack",
"line_number": 20,
... |
30079937946 | #! /usr/bin/env python3
import xml.etree.ElementTree as ET
import requests
import sys
from datetime import datetime
import subprocess
def get_m3u8(targetarea='tokyo', station='fm'):
hls = station + "hls"
... | mnod/docker-radiru | rec_radio.py | rec_radio.py | py | 1,880 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.fromstring",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "xml.etree.Elem... |
19654910100 | import keras
import os, shutil
from keras import layers
from keras import models
from keras import optimizers
from keras.preprocessing.image import ImageDataGenerator
import matplotlib.pyplot as plt
model = models.Sequential()
model.add(layers.Conv2D(32, (3, 3), activation='relu',
input_shape=(... | BoomFan/dogs_vs_cats | Chapter5/chapter5_2_2.py | chapter5_2_2.py | py | 3,262 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "keras.models.Sequential",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "keras.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "keras.layers.Conv2D",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "keras.layers",... |
40071012285 | """empty message
Revision ID: 075ef7b7f465
Revises: c8df1e64ac3f
Create Date: 2020-01-14 00:46:47.381666
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '075ef7b7f465'
down_revision = 'c8df1e64ac3f'
branch_labels = None
depends_on = None
def upgrade():
# ... | paduck210/flask_practice | resources/migrations/versions/075ef7b7f465_.py | 075ef7b7f465_.py | py | 780 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "alembic.op.batch_alter_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.... |
11737218073 | """apks table
Revision ID: e10608056996
Revises: dd4e694b3acf
Create Date: 2018-08-20 15:22:37.862657
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'e10608056996'
down_revision = 'dd4e694b3acf'
branch_labels = None
depends_on = None
def upgrade():
# ###... | johndoe-dev/Ecodroid | migrations/versions/e10608056996_apks_table.py | e10608056996_apks_table.py | py | 1,158 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
39879428 | import datetime
class Logic:
localTime = datetime.datetime.now()
carLeft = carRight = carFront = carBack = False
def __init__(self, GPSData):
self.GPS = GPSData
def shouldWindowsBeTinted(self):
if 60 < self.GPS.elevationAngle < 120:
print("GPS Elevation angle shows no t... | swachm/AutoCarWindowVisor | Model/Logic.py | Logic.py | py | 1,007 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "attribute"
}
] |
28816552446 | def showbook(url, kind):
html = requests.get(url).text
soup = BeautifulSoup(html, 'html.parser')
try:
pages = int(soup.select('.cnt_page span')[0].text) # 该分类共有多少页
print("共有", pages, "页")
for page in range(1, pages + 1):
pageurl = url + '&page=' + str(page).strip()
... | c7934597/Python_Internet_NewBook_Boards | books_xlsx.py | books_xlsx.py | py | 2,801 | python | zh | code | 0 | github-code | 1 | [
{
"api_name": "openpyxl.Workbook",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 60,
"usage_type": "call"
}
] |
10668569761 |
from django.forms import ModelForm
from core.erp.models import *
from django.forms import *
class ListForm(ModelForm):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
for form in self.visible_fields():
form.field.widget.attrs['class']='form-control'
fo... | AxelAlvarenga/Proyecto2022 | Eldeportista/app/core/login/forms.py | forms.py | py | 439 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 7,
"usage_type": "name"
}
] |
23568303273 | from os import error
from time import sleep
import serial
import psutil
import serial.tools.list_ports
import GPUtil
import json
from hotkey import activate_gpu, activate_mem
ports = serial.tools.list_ports.comports()
handShakePort = None
prevMode = 0
mode = 0
memoryActivate = False
maxMem = 0
memKey = ''
gpuKey = ''
g... | brutalzinn/arduino-python-computer-monitor | main.py | main.py | py | 3,817 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "serial.tools.list_ports.comports",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "serial.tools",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "serial.Ser... |
39479793327 | import json
import matplotlib.pyplot as plt
print("Loading cross validation history...")
with open("imdb_histories", "r") as f:
histories = json.load(f)
# Visualizing the data
control = histories[0]
ctrl_val = control["val_loss"]
epochs = range(1, len(ctrl_val) + 1)
print("Plotting comparisions...")
for idx,... | byelipk/deep-imdb | imdb_model_compare_eval.py | imdb_model_compare_eval.py | py | 642 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.... |
72005765155 | import requests
import requests as rq
from util import jieba
# 使用scikit-learn進行向量轉換
# 忽略在文章中佔了90%的文字(即去除高頻率字彙)
# 文字至少出現在2篇文章中才進行向量轉換
from bs4 import BeautifulSoup
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer, TfidfVectorizer
# import pandas ... | Chunshan-Theta/GlobePocket | util/ins_explore.py | ins_explore.py | py | 6,623 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.DataFrame",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.TfidfTransformer",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 24,
"u... |
1585776599 | from typing import Optional, List
from validator_collection import validators, checkers
from highcharts_core.metaclasses import HighchartsMeta
from highcharts_core.decorators import class_sensitive, validate_types
from highcharts_core.options.sonification.track_configurations import (InstrumentTrackConfiguration,
... | highcharts-for-python/highcharts-core | highcharts_core/options/plot_options/sonification.py | sonification.py | py | 7,074 | python | en | code | 40 | github-code | 1 | [
{
"api_name": "highcharts_core.metaclasses.HighchartsMeta",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 40,
"usage_type": "name"
},
{
"api_na... |
39156355623 |
#+---------------------------------------------------------------------
#+ Python Script that creates CMAQ_ADJ v4.5 forcing files
#+ Check the 'CHANGE' comments to define your directories for the run
#+ Author: Camilo Moreno
#+ Email = cama9709@gmail.com
#+--------------------------------------------------------------... | kamitoteles/Forcingfile_generator_CMAQ_adj_v4.5 | cmaqadj_forcefile.py | cmaqadj_forcefile.py | py | 8,146 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.ma.getdata",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "numpy.ma",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "numpy.ma.getdata",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "numpy.ma",
"line_... |
35533894023 | import json
import logging
try:
from http import client as httplib
except ImportError:
# Python 2.6/2.7
import httplib
import urllib
from pretenders.common.exceptions import (
ConfigurationError,
ResourceNotFound,
UnexpectedResponseStatus,
)
from pretenders.common.pretender import PretenderMo... | pretenders/pretenders | pretenders/client/__init__.py | __init__.py | py | 5,630 | python | en | code | 108 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "httplib.CannotSendRequest",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "httplib.BadStatusLine",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_n... |
3841312108 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# import dependency library
import numpy as np
import pandas as pd
from static import config
from scipy import ndimage
from collections import Counter
import csv
import os
# import user defined library
import utils.general_func as general_f
def get_cell_name_affin... | chiellini/CellFeatureEnhancementModel | utils/cell_func.py | cell_func.py | py | 3,769 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "static.config.data_path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "static.config",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "scipy.ndim... |
22752641641 | from django.urls.conf import path
from . import views
app_name = 'events'
urlpatterns = [
path('create-event/', views.CreateEventView.as_view(), name="create_event"),
path('edit-event/<uuid:event_id>/', views.EditEventView.as_view(), name='edit_event'),
path('get-events/', views.RetrieveEventView.as_view(... | rashiddaha/django_meet | events/urls.py | urls.py | py | 449 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.urls.conf.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.conf.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.conf.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django... |
5890621434 | import torch
from torch.autograd import Variable as Var
import torch.nn as nn
def ifcond(cond, x_1, x_2):
# ensure boolean
cond = cond.byte().float()
# check is it Tensor or Variable
if not hasattr(cond, "backward"):
cond = Var(cond, requires_grad=False)
return (cond * x_1) + ((1-cond) * x... | ds4an/CoDas4CG | CodeOfApproaches/tree2tree/model/utils.py | utils.py | py | 3,470 | python | en | code | 13 | github-code | 1 | [
{
"api_name": "torch.autograd.Variable",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.LongTensor",
... |
12466619564 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('urly_app', '0004_auto_20161026_1723'),
]
operations = [
migrations.AddField(
model_name='link',
name... | spe-bfountain/short | urly_app/migrations/0005_link_requires_login.py | 0005_link_requires_login.py | py | 401 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AddField",
"line_number": 14,
"usage_type": "call"
},
{
... |
35367988265 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import json
import yaml
import datetime
import argparse
from collections import defaultdict
from dateutil.parser import parse
from dateutil.rrule import rrule, DAILY
from dateutil.relativedelta import relativedelta
from utils import get_season, get_team_from_g... | leaffan/del_stats | backend/get_del_games.py | get_del_games.py | py | 20,247 | python | en | code | 14 | github-code | 1 | [
{
"api_name": "yaml.safe_load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_... |
18187068649 | """Control navigation of FOREST data"""
import copy
import datetime as dt
import numpy as np
import pandas as pd
import bokeh.models
import bokeh.layouts
from collections import namedtuple
from forest import data
from forest.observe import Observable
from forest.util import to_datetime as _to_datetime
from forest.expor... | MetOffice/forest | forest/db/control.py | control.py | py | 21,707 | python | en | code | 38 | github-code | 1 | [
{
"api_name": "forest.export.export",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "forest.export.export",
"line_number": 61,
"usage_type": "name"
},
{
"api_name": "forest.export.export",
"line_number": 66,
"usage_type": "name"
},
{
"api_name": "forest... |
26395961422 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
#escolhe o chrome
#endereco para o chrome driver
PATH = "/home/amanda/Docum... | AmandaApolinario/SpiritFanficFavoritador | coisadelu.py | coisadelu.py | py | 1,474 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.keys.Keys.RETURN",
"line_number": 24,
"usage_type": "attribute"
... |
19369503791 | from django.http import HttpResponse
from django.utils.html import strip_tags
from models import Listener
import activity_checker
import corrector
import formatter
cor = corrector.Corrector()
fmt = formatter.Formatter()
def check(request, listener_id, line_id, line):
good_one, len_lines, level = Listener.get_go... | deccico/capego | listener/views.py | views.py | py | 1,134 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "corrector.Corrector",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "formatter.Formatter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Listener.get_good_line",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": ... |
10068296172 | import pandas as pd
import numpy as np
import hydra
import os
import json
import yaml
import pickle
import time
from flask import Flask, request, jsonify
import mysql.connector
import prediction
#26.6.2021
#1. Change the db into production db
#2. Deploy into AWS EC2
#3. Deploy the model into AWS EKS
app = Flask(__na... | hoe94/Water_Quality | src/app.py | app.py | py | 1,846 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector.connect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_... |
42615469832 | """Constants and enumerations"""
from enum import Enum, Flag
class RinnaiSystemMode(Enum):
"""Define system modes."""
HEATING = 1
EVAP = 2
COOLING = 3
RC = 4
NONE = 5
class RinnaiOperatingMode(Enum):
"""Define unit operating modes."""
NONE = 0
MANUAL = 1
AUTO = 2
class RinnaiC... | funtastix/pyrinnaitouch | pyrinnaitouch/const.py | const.py | py | 2,104 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "enum.Enum",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "enum.Flag",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 25,
"... |
13043659438 | import logging
from ...node import InputTrigger
from ...stream import DataStream
from ...exceptions import SensorGraphSemanticError
from .scope import Scope
class GatedClockScope(Scope):
"""A scope that will gate all requested clocks with a latch.
Args:
sensor_graph (SensorGraph): The sensor graph we... | iotile/coretools | iotilesensorgraph/iotile/sg/parser/scopes/gated_clock_scope.py | gated_clock_scope.py | py | 3,501 | python | en | code | 14 | github-code | 1 | [
{
"api_name": "scope.Scope",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "stream.DataStream.ConstantType",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "stream.DataStream",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "logg... |
17110154056 | import requests
import records
import json
db = records.Database("mysql:///....?charset=utf8")
# db.query("""
# create table video_group (
# id int primary key auto_increment,
# group_id varchar(50),
# title varchar(100),
# data text,
# comment_count int default 0,
# like_count int default 0,
#... | zhangheli/ScrapyLabs | crawl_toutiao.py | crawl_toutiao.py | py | 1,859 | python | en | code | 25 | github-code | 1 | [
{
"api_name": "records.Database",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.request",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 44,
"usage_type": "call"
}
] |
30276485484 | from pyroll.cli.program import main
from pyroll.cli.config import RES_DIR
import click.testing
import os
def test_create_project(tmp_path):
runner = click.testing.CliRunner()
os.chdir(tmp_path)
result = runner.invoke(main, ["create-project"])
assert result.exit_code == 0
print(result.output)
... | pyroll-project/pyroll-cli | tests/test_create_project.py | test_create_project.py | py | 495 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "click.testing.testing.CliRunner",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "click.testing.testing",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "click.testing",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": ... |
43495745433 | from datetime import datetime
from pytest import fixture
from .model import User
from .schema import UserSchema
from .interface import UserInterface
@fixture
def schema() -> UserSchema:
return UserSchema()
def test_UserSchema_create(schema: UserSchema):
assert schema
def test_UserSchema_works(schema: Us... | lucasg-mm/arborator-grew-nilc | backend/app/user/schema_test.py | schema_test.py | py | 1,027 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "schema.UserSchema",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "schema.UserSchema",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "schema.UserSchema"... |
26641924170 | from openpyxl import load_workbook
workbook = load_workbook(filename=r'F:\kinscloud.github.io\Python\Excel\testxls.xlsx')
#print(workbook.sheetnames)
sheet = workbook.active
for row in sheet.rows:
#for row in sheet.iter_rows(min_row=2,max_row=3,min_col=1,max_col=3):
for cell in row:
print(cell.valu... | kinscloud/kinscloud.github.io | Python/Excel/openpyxlDemo.py | openpyxlDemo.py | py | 458 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 3,
"usage_type": "call"
}
] |
411798820 | import logging
from typing import Optional
from ..effect import EffectFactory
from .effect_checker import EffectChecker, AnnotationEffect, AnnotationRequest
class UTREffectChecker(EffectChecker):
"""UTR effect checker class."""
def __init__(self) -> None:
self.logger = logging.getLogger(__name__)
... | iossifovlab/gpf | dae/dae/effect_annotation/effect_checkers/utr.py | utr.py | py | 3,917 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "effect_checker.EffectChecker",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "effect_checker.AnnotationRequest",
"line_number": 15,
"usage_type": "name"
},
{
"ap... |
73602744993 | from typing import Any
import gym
from gym import spaces
import numpy as np
import pybullet as p
from robot_utils import RegisterScenes
from robot_utils import Robot, rayTest, checkCollision
from robot_utils.log import *
from robot_utils.utils import control_miniBox
import pybullet_data
class MsnDiscrete(gym.Env):
... | LSTM-Kirigaya/MsnEnvironment | env/MsnDiscrete.py | MsnDiscrete.py | py | 8,863 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "gym.Env",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces.Discrete",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "gym.spaces",
"line... |
39944748888 | import email
import email.policy
import email.utils
import email.message
import email.mime.multipart
import email.mime.text
import email.parser
import os
import time
import traceback
import boto3
from botocore.exceptions import ClientError
# us-east-1
REGION = os.getenv("REGION")
# your-bucket-name
S3_BUCKET = os.g... | kura/private-relay | lambda.py | lambda.py | py | 7,749 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.getenv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 26,
... |
15471163955 | import torch
def css(outputs, labels, n_classes, m, m2):
batch_size = outputs.size(0)
defer = [n_classes] * batch_size
outputs = -m2 * torch.log2(outputs[range(batch_size),labels])\
-m * torch.log2(outputs[range(batch_size), defer])
return torch.sum(outputs) / batch_size
def my_CrossEntr... | Xiaozhi-sudo/learning-to-defer | CIFAR/losses.py | losses.py | py | 1,128 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.log2",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "torch.log2",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.sum",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.log2",
"line_number": 13,
... |
1936442404 | import re
from django import template
from django.template.defaultfilters import stringfilter
from django.utils.html import escape
from django.conf import settings
from django_fortunes.models import Fortune
register = template.Library()
@register.filter
@stringfilter
def fortunize(value):
"""
Transforms a f... | n1k0/djortunes | django_fortunes/templatetags/fortune_extras.py | fortune_extras.py | py | 1,168 | python | en | code | 7 | github-code | 1 | [
{
"api_name": "django.template.Library",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "re.findall",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.utils.html.... |
18931784296 | from django.urls import path
from .views import *
urlpatterns = [
path('api/', PostList.as_view()),
path('api/<int:pk>/', PostDetail.as_view()),
path("", sorry, name="sorry"),
# path('location/', LocationList.as_view()),
# path('location/<int:pk>/', LocationDetail.as_view()),
] | mehtanishad/Rest_Api_Assessment | rest_api/restApi_App/urls.py | urls.py | py | 304 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
}
] |
22019597734 | from typing import List
class Solution:
def numRescueBoats(self, people: List[int], limit: int) -> int:
people.sort()
heavy_person = len(people) - 1
light_person = 0
boats = 0
while heavy_person >= light_person:
if heavy_person == light_person:
... | zahedul/leetcode | boats_to_save_people.py | boats_to_save_people.py | py | 643 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
11424506 | #기초
import numpy as np
import cv2
print(cv2.__version__)
img = cv2.imread("./image/food.jpg")
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cv2.imshow("food", img)
cv2.imshow("food - gray", gray)
cv2.waitKey(0)
cv2.destroyWindow()
#보간법으로 픽셀 변경
resized = cv2.resize(img, None, fx = 0.2, fy = 0.2, interpolation=cv2.IN... | GitOfVitol/openCVProj | openCV기초.py | openCV기초.py | py | 397 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cv2.__version__",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"l... |
29544867356 | import pytest
from eth2.beacon.db.chain import BeaconChainDB
from eth2.beacon.state_machines.forks.serenity.blocks import (
SerenityBeaconBlock,
)
from eth2.beacon.tools.builder.initializer import (
create_mock_genesis,
)
from eth2.beacon.tools.builder.proposer import (
create_mock_block,
)
from eth2.beaco... | hwwhww/trinity | tests/eth2/beacon/state_machines/test_demo.py | test_demo.py | py | 3,132 | python | en | code | null | github-code | 1 | [
{
"api_name": "eth2.beacon.db.chain.BeaconChainDB",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "eth2.beacon.tools.builder.initializer.create_mock_genesis",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "eth2.beacon.state_machines.forks.serenity.blocks.Ser... |
21224899005 | import pika
import psutil
import time
# Conecta ao RabbitMQ
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost')) # Conecta ao servidor RabbitMQ local
channel = connection.channel() # Cria um canal de comunicação
# Declara o tópico de temperatura
channel.queue_declare(queue='temperat... | mandaver/Atividades_Sistemas_Dist | Atividade_2/produtor.py | produtor.py | py | 915 | python | pt | code | 0 | github-code | 1 | [
{
"api_name": "pika.BlockingConnection",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pika.ConnectionParameters",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "psutil.sensors_temperatures",
"line_number": 14,
"usage_type": "call"
},
{
"api_n... |
900614867 | import random
import os
import shutil
from PIL import Image, ImageDraw
import torch
from torchvision import datasets, transforms
from detectron2.utils.logger import setup_logger
from detectron2.config import get_cfg
from detectron2.engine import DefaultPredictor
import asyncio
def crop_portraits(portraits_list, film_f... | mariana200196/cartoon-face-detector | API/helper_functions.py | helper_functions.py | py | 3,002 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
... |
23490191054 | import sys
from loguru import logger as log
from bs4 import BeautifulSoup
from pyquery import PyQuery as pq
from selenium.common.exceptions import ElementClickInterceptedException
from my_selenium import MySelenium
from locate104 import LocateOneZeroFour
# remove default level
log.remove()
# level DEBUG|INFO
log.add... | brian-hsu/crawl104 | crawl104.py | crawl104.py | py | 10,812 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "loguru.logger.remove",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "loguru.logger.add",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
... |
15760438393 | #!/usr/bin/python
from flask import Flask, render_template
from constant import constants
import random
import urllib3
import json
__author__ = "Daniel Fernando Santos Bustos"
__license__ = "MIT"
__version__ = "1.0"
__maintainer__ = "Daniel Santos"
__email__ = "dfsantosbu@unal.edu.co"
__status__ = "Development"
app=... | xdanielsb/blog-flask | app.py | app.py | py | 985 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "constant.constants",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "urllib3.PoolManager",
... |
72361760035 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@File :price.py
@Description :价格表查询
@DateTime :2023-01-12 14:07
@Author :Jay Zhang
"""
from sqlalchemy.orm import Session
from Permission.models import Permission
from Tracking.models import Tracking
from User.models import User, Emplo... | zxj17815/progress_tracking | User/curd.py | curd.py | py | 1,082 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "User.models.User",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "User.models.User",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.o... |
17571257794 | # Import Files
import requests
import json
with open("details.txt") as f:
lines = f.readlines()
api_token = lines[0].rstrip()
account_id = lines[1].rstrip()
def get_account_info(steam_ids):
"""
Returns the results of a steam api get request containing a summary of one or more steam users.
:pa... | Exist3/SteamLibraryCompare | steam_api_scrape.py | steam_api_scrape.py | py | 3,993 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": ... |
13282499257 | from __future__ import division
import numpy as np
import ROOT as r
import math
import os,sys
from scipy.integrate import quad, dblquad
from darkphoton import *
# proton mass
mProton = 0.938272081 # GeV/c - PDG2016
protonEnergy = 400. # GeV/c
protonMomentum = math.sqrt(protonEnergy*protonEnergy - mProton*mProton)
#V... | ShipSoft/FairShip | python/proton_bremsstrahlung.py | proton_bremsstrahlung.py | py | 7,527 | python | en | code | 21 | github-code | 1 | [
{
"api_name": "math.sqrt",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "math.pow",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 48,
"... |
26855426781 | # This program is in the public domain
# Author: Paul Kienzle
"""
SNS data loaders
The following instruments are defined::
Liquids, Magnetic
These are :class:`resolution.Pulsed` classes tuned with
default instrument parameters and loaders for reduced SNS data.
See :mod:`resolution` for details.
"""
import re
im... | reflectometry/refl1d | refl1d/snsdata.py | snsdata.py | py | 9,380 | python | en | code | 16 | github-code | 1 | [
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "instrument.Pulsed",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "probe.title",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "probe.date",
"line... |
6164148530 | import numpy as np
from string import punctuation
from random import shuffle
from gensim.test.utils import get_tmpfile
import gensim
import pandas as pd
from gensim.models.word2vec import Word2Vec
from gensim.models import KeyedVectors
import time
from nltk.tokenize import TweetTokenizer
def load1_6million(path, toke... | masdeval/NLP | FinalProject/Word2Vec_Twitter.py | Word2Vec_Twitter.py | py | 3,101 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "gensim.utils",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.inf",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "gensim.models.KeyedVectors.load",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "gens... |
74533048992 | import numpy as np
from skimage import measure
from sklearn.metrics import auc
def run(score_imgs, labeled_imgs, fpr_thresh=0.3, max_steps=2000, class_name=None):
labeled_imgs = np.array(labeled_imgs)
labeled_imgs[labeled_imgs <= 0.45] = 0
labeled_imgs[labeled_imgs > 0.45] = 1
labeled_imgs = la... | wogur110/PNI_Anomaly_Detection | refinement/get_aupro.py | get_aupro.py | py | 3,461 | python | en | code | 10 | github-code | 1 | [
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.bool",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_nu... |
43336500122 | import sys
import os
from PyQt5 import QtWidgets, uic, QtCore
import pyqtgraph as pg
import numpy as np
from ..communication import SCPI_mannager, upload
import json
class graph_view(pg.GraphicsLayoutWidget):
def __init__(self, top_window):
super().__init__(show=True)
self.top_window :... | ruofan-he/redpitaya_PNR | frontend/top/top.py | top.py | py | 19,736 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pyqtgraph.GraphicsLayoutWidget",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.histogram",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyqtgraph.PlotDataItem",
"line_number": 19,
"usage_type": "attribute"
},
{
"a... |
21877280591 | import os
import sys
sys.path.append("../..")
import time
import math
from z3 import *
import argparse
from multiprocessing import Process
from multiprocessing.spawn import freeze_support
from common.utils import show_output, read_instance, write_output, COLORS
def write_report(instance_name, sol, report_file):
... | mwritescode/VLSI | SMT/src/iterative_solve_smt.py | iterative_solve_smt.py | py | 6,936 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
15486771413 | import re
import requests
from bs4 import BeautifulSoup
def baidu_search(word: str) -> str:
"""
百度百科检索问题
:param word: 需要查询的问题
:return: 百度百科查询结果
"""
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/98.0.4758.102 Safari/53... | shangruobing/infoweaver-backend | NFQA/QAS/utils/baidu_search.py | baidu_search.py | py | 829 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 23,
"usage_type": "call"
}
] |
32166503776 | #!/usr/bin/env python3
import asyncio
import sys
from getpass import getpass
from pathlib import Path
from typing import Dict
import httpx
import hug
IGNORED_AUTHOR_LOGINS = {"deepsource-autofix[bot]"}
REPO = "pycqa/isort"
GITHUB_API_CONTRIBUTORS = f"https://api.github.com/repos/{REPO}/contributors"
GITHUB_USER_CONT... | PyCQA/isort | scripts/check_acknowledgments.py | check_acknowledgments.py | py | 2,528 | python | en | code | 6,145 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "getpass.getpass",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "httpx.AsyncClient",
"lin... |
36079132985 | import argparse
import os
from collector.github_repo_collector import GithubRepositoryCollector
from const.constants import GITHUB_ACCESS_TOKEN
def parse_args() -> argparse.Namespace:
"""
Parse arguments.
:return: a namespace with the arguments
"""
parser = argparse.ArgumentParser(description='Ge... | JulianBenitez99/ECI-MS-Thesis | GoCSVRepo/main.py | main.py | py | 732 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "argparse.Namespace",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "const.constants.GITHUB_ACCESS_TOKEN",
"line_number": 19,
"usage_type": "name"
},
{
... |
29972846358 | #import the spaCy library
import spacy
# Load the spaCy model for NER(this is the sm version so faster but less accurate)
nlp = spacy.load("en_core_web_sm")
# Define a function to anonymize personal information
def anonymize_text(text):
# Use spaCy NER to process the input text
doc = nlp(text)
# Create ... | Sai9555/anonymize_data | src/TxtSpaCyV1.0.py | TxtSpaCyV1.0.py | py | 1,954 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "spacy.load",
"line_number": 5,
"usage_type": "call"
}
] |
27528671913 | #!/usr/bin/python3
import argparse
import cv2
import numpy as np
def onTrackbar(threshold):
print("Selected threshold " + str(threshold) + " for limit")
def main():
# parse the argument
parser = argparse.ArgumentParser()
parser.add_argument('-i', '--image', type=str, required=True, help='Full path ... | JorgeFernandes-Git/PSR_AULAS_2021 | openCV/Ex3_MOUSE_TRACKBAR/main4.py | main4.py | py | 3,084 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_COLOR",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "cv2.imshow",... |
37106040488 | from astropy.io import fits
import pandas as pd
import numpy as np
import time
import traceback
import os
flux1350=[]
flux3000=[]
df=pd.read_csv('/media/richard/Backup Plus/candidate_dr16_0.8_final.csv',low_memory=False)
groupid=df['GroupID_1']
specname=df['specname_new']
z=df['Z']
area_1350=df['LINEAREA_1350']
area_30... | RichardPeng0624/SDSSspectrum-painting | linearea.py | linearea.py | py | 2,118 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "astropy.io.fits.open",
... |
72601518114 | import requests
import json
import time
from string import ascii_letters,digits
import random
from base64 import b64encode
from hashlib import sha256
from os import urandom
def request_verify_code(phone_number):
random.seed(urandom(8))
h=sha256()
code_verifier=''.join([ random.choice(ascii_letters+di... | chenliTW/goshare-reserve | src/utils.py | utils.py | py | 3,273 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "random.seed",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.urandom",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "hashlib.sha256",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_numbe... |
18995343621 | # Factor Analysis
import matplotlib.pyplot as plt
def Factor_EM(Input_data,K_sub=3):
trans=Input_data
(N,D)=trans.shape
#Initialize
u=np.mean(trans,axis=0)
Input_data=FTI
sigma_full=np.cov(FTI.transpose())
[U_matrix,D_matrix,V_matrix]=np.linalg.svd(sigma_full)
eta_start=... | saikrishnawds/Generative-Face-Image-Classification | model4_Factor_analysis.py | model4_Factor_analysis.py | py | 5,914 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 111,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 111,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 112,
"usage_type": "call"
},
{
"api_name": "ma... |
71165257954 | import cv2
import librosa
import numpy as np
import random
from sklearn.preprocessing import LabelEncoder, StandardScaler, MinMaxScaler, scale
def scale_feature(feature, featureSize):
widthTarget, heightTarget = featureSize
height, width = feature.shape
# scale according to factor
newSize = (int... | ksraj/CoughVid | helper/preprocessor.py | preprocessor.py | py | 3,017 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "cv2.resize",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.pad",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.trans... |
71276798435 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import base64
import requests
from contextlib import closing
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests im... | ColtAllen/codex_vitae_app | codex_vitae/etl/api_requests.py | api_requests.py | py | 4,294 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.exists",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "google.oauth2.credentials.Credentials.from_authorized_user_file",
"line_number": 36,
"usage_type": "call"
}... |
73085692514 | import numpy as np
import pygame
class GridEnvironment:
def __init__(self):
self.grid = np.zeros((7,7))
self.starting_position = [0,0]
self.goal_position = [5,4]
self.reset()
self.walls = [[3, 2], [2, 3], [1, 4]]
#actions are up, down, left, right mapped to 0, 1, 2... | Jakub202/IDATT2502-ML | excercise8/gridworld/GridEnvironment.py | GridEnvironment.py | py | 5,224 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"... |
33565357577 | import networkx as nx
import numpy as np
from scipy import random
import pandas as pd
import copy
import random
from collections import OrderedDict, Counter
from multiprocessing import Pool
import itertools
import matplotlib.pyplot as plt
#%matplotlib inline
def generate_my_simplicial_complex_d2(N,p1,p... | kittan13/school_lab | simplagion-master/Generalized degree distribution of the Random Simplicial Complex model.py | Generalized degree distribution of the Random Simplicial Complex model.py | py | 5,339 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "networkx.fast_gnp_random_graph",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "networkx.is_connected",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "networkx.connected_components",
"line_number": 23,
"usage_type": "call"
},
{
... |
20918803999 | # -*- coding: utf-8 -*-
import os
import sys
import time
import pickle
import requests
import pandas as pd
from tqdm import tqdm
from urllib import response
from bs4 import BeautifulSoup
class Scraper:
def __init__(self):
self.base_url = "https://scholar.google.com/"
dir_persistent = os.path.joi... | andreeaiana/graph_confrec | src/data/H5IndexScraper.py | H5IndexScraper.py | py | 7,691 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
28776224145 | import sys
from collections import deque
input = sys.stdin.readline
def bfs(i, j):
visited[i][j] = 1
union = [(i, j)]
_sum = graph[i][j]
q.append((i, j))
while q:
x, y = q.popleft()
for dx, dy in [(0, 1), (0, -1), (1, 0), (-1, 0)]:
nx = x + dx
ny = y + dy
... | jiyoon127/algorithm_study | Implementation/인구_이동.py | 인구_이동.py | py | 1,264 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 34,
"usage_type": "call"
}
] |
73793723235 | # Create a Scraper that extracts information about job descriptions
# 1. Open up website
# 2. Parse the HTML and gather content objects from the indeed page
# - list of Job Titles
# - list of Job Descriptions
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webd... | nitink23/Sachacks2023nava | job_scraper/indeed_scraper.py | indeed_scraper.py | py | 2,542 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 20,
"usage_type": "call"
},
{
"api... |
28849219985 | import pickle
import streamlit as st
import pandas as pd
import numpy as np
import seaborn as sns
from scipy import stats
from datetime import datetime
from sklearn import preprocessing
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score, confu... | sing829/yolov5_streamlit_updated | separate_py/show_ml2.py | show_ml2.py | py | 10,796 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 30,
"usage_type": "call"... |
3982305761 | #!/usr/bin/env python
#
import google.appengine.api.users
from google.appengine.ext import blobstore
from google.appengine.ext import db
from google.appengine.api import images
from google.appengine.ext.webapp import blobstore_handlers
import logging
import jinja2
import webapp2
import json
import os
import re
ipadReg... | bruntonspall/visual-schedule | main.py | main.py | py | 7,684 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "re.compile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "jinja2.Environment",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
... |
21217490923 | import json
import tornado.httpserver
import tornado.ioloop
import tornado.web
import tornado.websocket
import tornado.options
import os.path
from tornado.options import define, options
define("port", default=8000, help="run on the given port", type=int)
class Message: #消息
sender=""
text=""
roomID=""
time=""
d... | Drenight/2019ComprehensiveProject | exp2/cookies.py | cookies.py | py | 4,273 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "tornado.options.define",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tornado.httpserver.web",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "tornado.httpserver",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": ... |
22589006256 | import pygame, sys
from pygame.locals import *
import random
pygame.init
windowSurface = pygame.display.set_mode((800, 600), 0, 32)
pygame.display.set_caption('game')
brown=(190,128,0)
black=(0,0,0)
green=(0,128,0)
blue=(0,0,255)
white=(255,255,255)
red=(255,0,0)
xtree1=[200,250,100,225,350]
ytree=[200,50,350]
x1=... | micah-kitzler/first-pygame-game | game.py | game.py | py | 9,217 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.disp... |
28768775449 | from rest_framework import generics, viewsets
from .models import approvals
from .serializer import approvalsSerializers
from sklearn.externals import joblib
import pandas as pd
from .form import ApprovalsForm
from django.shortcuts import render
from keras import backend as K
from django.contrib import messages
# Cre... | xolanisiqhelo/djangoAPI | api/views.py | views.py | py | 3,125 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework.generics.ListCreateAPIView",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "models.approvals.objects.all",
"line_number": 15,
"usage_type": "c... |
7937095341 | from django.urls import path
from app.views import SignUpView, ProductListView, ProductCreateView, ProductApprove, ProductUpdateView, ApproveView, \
RedirectView
urlpatterns = [
path('', RedirectView.as_view()),
path('signup', SignUpView.as_view(), name='signup'),
path('products', ProductListView.as_vi... | ToshipSo/PinkBlue | app/urls.py | urls.py | py | 669 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "app.views.RedirectView.as_view",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "app.views.RedirectView",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "d... |
1967729697 | from copyreg import constructor
import csv
import sys
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
if (len(sys.argv) < 1):
raise Exception('Argument Missing: run with "blockc... | 0x14os/well-known-parser | parser.py | parser.py | py | 2,246 | python | en | code | null | github-code | 1 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number"... |
28994089757 | # a great deal of code modified and copied from:
# https://github.com/OpenBounds/Processing
import sys
import os
import logging
import subprocess
import tempfile
import glob
import click
from pyproj import Proj, transform
import fiona
from fiona.crs import from_epsg, to_string
from fiona.transform imp... | cat-cfs/gcbm_preprocessing | preprocess_tools/gcbm_aws/util.py | util.py | py | 7,193 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.stdout.isatty",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "click.echo",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line... |
25295807822 | from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import NoSuchElementException
from webdriver_manager.chrome import ChromeDriverManager
import time
impor... | manishhemnani06/LINKEDIN_JOB_ANALYSIS_ | SCRAPPING_CODE/SCRAPPING_MAIN_FILE.py | SCRAPPING_MAIN_FILE.py | py | 8,400 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 18,
"usage_type": "name"
},
{... |
13365106466 | import numpy as np
import tensorflow as tf
from PIL import Image
def get_data(img_file, labels_file, image_size):
"""
Given a file path and two target classes, returns an array of
normalized inputs (images) and an array of labels.
Extract only the data that matches the corresponding classes
(there are 101 class... | meera-kurup/skimage | code/preprocess.py | preprocess.py | py | 2,139 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PIL.Image.fromarray",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_numbe... |
75090764834 | from django.conf.urls import patterns, include, url
# Uncomment the next two lines to enable the admin:
# from django.contrib import admin
# admin.autodiscover()
urlpatterns = patterns('',
# Examples:
url(r'^$', 'webapp.views.index', name='index'),
url(r'^province/(\w+)/$',... | RHoK-Bilbao/desahucios | website/website/urls.py | urls.py | py | 1,492 | python | en | code | 7 | github-code | 1 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dja... |
28159584514 | import json
import requests
from datetime import date, datetime
from mysql.connector import (connection)
from elasticsearch import Elasticsearch
from elasticsearch.helpers import bulk
from pprint import pprint
import os.path
import pandas as pd
import time
''' Module to make queries easier via python elasticsearch a... | belaz/elasticpoc | python/search-by-querypost.py | search-by-querypost.py | py | 6,362 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pprint.pprint",
"line_number": 118,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "os.path.path.isfile",
"line_number": 128,
"usage_type": "call"
},
{
"api_name": "os.path.path",
... |
19741466326 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a cointegration script file.
"""
import numpy as np
import pandas as pd
import tushare as ts
import matplotlib.pyplot as plt
import statsmodels.api as sm
def find_cointegration_pairs(dataframe):
# to obtain the length of dataframe
n = dataframe.shape[1]
... | simple321vip/violin-trade | strategy/cointegration_2.py | cointegration_2.py | py | 1,464 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "numpy.ones",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "statsmodels.api.tsa.stattools.coint",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "statsmodels.api.tsa",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name"... |
34977561674 | import numpy as np
import cv2
img = cv2.imread('/Users/huojiaxi/Desktop/googlelogo_color_272x92dp.png')
vert = [70, 110, 40] # RGB de la couleur végétale, il est nécessaire de la régler lors que la première figure sera générée
diff_rouge = 60
diff_vert = 40
diff_bleu = 30
boundaries = [([vert[2]-diff_bleu, vert[1... | HUOJIAXI/PROJETDRONE1920 | TraitementDImage/image.py | image.py | py | 853 | python | fr | code | 2 | github-code | 1 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number... |
9362838462 | #coding:utf-8
"""
Description: separate speech from mixed signal of music and speech
Date: 2018.6.3
Reference: const.py, DoExperiment.py and util.py
by wuyiming
in UNet-VocalSeparation-Chainer
<https://github.com/Xiao-Ming/UNet-VocalSeparation-Chainer>
"""
import argparse
import ... | shun60s/Blind-Speech-Separation | separate.py | separate.py | py | 4,185 | python | ja | code | 3 | github-code | 1 | [
{
"api_name": "os.path.isdir",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "librosa.util.find_files",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",... |
9708255908 | from app import app
from flask import request, render_template, jsonify, session
import re
from app.modules.text_translator_ch2en import translator_ch2en
from app.modules.text_translator_en2ch import translator_en2ch
from app.modules.summa_TextRank import TextRank_Summarizer_en
from app.modules.snownlp_TextRank import... | ChingHung21/Bilingual-Lesson-Assistant | app/views.py | views.py | py | 9,410 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.render_template",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "app.app.route",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "app.app",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
... |
687494140 | import streamlit as st
import pandas as pd
import numpy as np
#import seaborn as sns
#import matplotlib.pyplot as plt
import plotly.express as px
from PIL import Image
# Page layout
st.set_page_config(page_title='Churn Analysis FinTech', page_icon=':bar_chart:', layout='wide')
df = pd.read_csv('fintech_das... | Asifmehdiyev/dashboard_app | dashboard.py | dashboard.py | py | 11,067 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "streamli... |
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