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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
43297874105 | # -*- coding: utf-8 -*-
"""
Created on Mon Feb 17 16:10:16 2020
@author: Marko
"""
import numpy as np
import pandas as pd
#import matplotlib.pyplot as plt
#from collections import Counter
from unidecode import unidecode
import os
def choose_gw():
df = pd.read_csv("GLK.csv")
names = df.column... | markokad/fpl-genetic | combine_id.py | combine_id.py | py | 6,190 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
24779758119 | """ Script for blob detection originaly inspired by http://www.learnopencv.com/blob-detection-using-opencv-python-c/ at 13th of Juny 2015
Now it returns clusterBuster relics and hsitogramms
"""
# Standard imports
import numpy as np
import cv2
#import pyfits as fits
#import scipy.ndimage.morphology as morp #mor... | jakgel/clusterbuster | clusterbuster/sourceextraction.py | sourceextraction.py | py | 5,118 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "clusterbuster.surveyclasses.Galaxycluster",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "clusterbuster.surveyclasses",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "clusterbuster.surveyclasses.DetInfo",
"line_number": 28,
"usage_typ... |
33815852749 | #-*-coding:utf8-*-
from appium import webdriver
import time
class WechatTest():
def __init__(self):
desired_caps = {}
desired_caps['platformName'] = 'Android'
desired_caps['platformVersion'] ='4.4.2'
desired_caps['deviceName']='Android Emulator'
desired_caps['appPackage']='c... | Trrinity/Selenium-Appium | com.taobao.taobao.py | com.taobao.taobao.py | py | 1,523 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "appium.webdriver.Remote",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
38339321818 | import logging
from typing import Callable
import pcapi.connectors.notion as notion_connector
from pcapi.core.providers.models import VenueProvider
import pcapi.core.providers.repository as providers_repository
import pcapi.local_providers
from pcapi.local_providers.provider_api import synchronize_provider_api
from pc... | bruno-ebstein-pass-culture/pass-culture-main | api/src/pcapi/local_providers/provider_manager.py | provider_manager.py | py | 3,166 | python | en | code | null | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pcapi.scheduled_tasks.logger.build_cron_log_message",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pcapi.scheduled_tasks.logger.CronStatus.FAILED",
"line_number": 23,
... |
21643801764 | """
Given an array of intervals where intervals[i] = [start, end],
merge all overlapping intervals, and return an array of the non-overlapping intervals
that cover all the intervals in the input.
"""
from collections import deque
def merge(intervals: list[list[int]]) -> list[list[int]]:
intervals = sorted(interv... | Sma-Das/Leetcode | 2-Medium/mergeIntervals.py | mergeIntervals.py | py | 850 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.deque",
"line_number": 12,
"usage_type": "call"
}
] |
30945730389 | """chat_settings
Revision ID: 20190314182214
Revises: 20190314175025
Create Date: 2019-03-14 18:22:14.635279
"""
import sqlalchemy as sa
from alembic import op
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm.session import Session
# revision identifiers, used by Alembic.
revision = "2019... | llybin/TelegramExchangeRatesBot | migrations/versions/20190314182214_chat_settings.py | 20190314182214_chat_settings.py | py | 1,660 | python | en | code | 15 | github-code | 97 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.BigInteger",
"line_number": 26,
"usage_type": "attribute"
},
... |
34913205932 | import logging
from typing import Any, Tuple
from linotp.lib.policy.evaluate import PolicyEvaluator
from linotp.lib.policy.util import get_policies
from linotp.lib.user import User
LOG = logging.getLogger(__name__)
def search_policy(param, only_active=True):
"""
Function to retrieve the list of policies.
... | LinOTP/LinOTP | linotp/lib/policy/processing.py | processing.py | py | 6,936 | python | en | code | 484 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "linotp.lib.policy.evaluate.PolicyEvaluator",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "linotp.lib.policy.util.get_policies",
"line_number": 32,
"usage_type": "call"... |
8282986071 | #! /usr/bin/env python
"""This module simply adds miscellaneous code that the main modules can use."""
from __future__ import absolute_import
import logging
import requests
from mozci.utils.authentication import get_credentials
LOG = logging.getLogger('mozci')
def _public_url(url):
"""
If we run the script... | gijsk/mozilla_ci_tools | mozci/utils/misc.py | misc.py | py | 1,353 | python | en | code | null | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.head",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "mozci.utils.authentication.get_credentials",
"line_number": 37,
"usage_type": "call"
}
] |
1098969886 | import atexit
import io
import sys
def getParent(x):
return (x - 1) // 2
def leftChild(x):
return (2 * x + 1) if (2 * x + 1) < curr_size else -1
def rightChild(x):
return (2 * x + 2) if (2 * x + 2) < curr_size else -1
def heapify():
curr_ind = curr_size - 1
while getParent(curr_ind) != -1 an... | Sameer2898/Data-Structure-And-Algorithims | Placement Prepration/Heap/binary_heap_operations.py | binary_heap_operations.py | py | 2,811 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.stdin.read",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_numb... |
7175045013 | import RPi.GPIO as GPIO
import time
from mfrc522 import SimpleMFRC522
from datetime import datetime, time as dt_time
# Set the GPIO mode
GPIO.setmode(GPIO.BOARD)
# Define the motor driver pins for the stepper motor
motor_pins = [13, 11, 15, 12]
# Set the motor pins as output
for pin in motor_pins:
G... | goutham260702/medication_monitoring | medi.py | medi.py | py | 3,871 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "RPi.GPIO.setmode",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BOARD",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "RPi.GPIO.setup",
"line... |
34848979532 | import calendar
from datetime import date
from django.contrib import admin
from django.db.models import Sum, Count
from django.utils.html import format_html
from django.utils.html import mark_safe
from .forms import StudentFeeAdd
from .models import Student, StudentFee, FeeGroup, FeeType#, FeeSummary
# Register your... | mujeebishaque/university-management-system | students/admin.py | admin.py | py | 6,171 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "django.contrib.admin.site.register",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.FeeGroup",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 13,
"usage_type": "attribute"
},
{
... |
1429877464 | def data(read_data,file):
if read_data is True:
#Reading system information
from scripts.readData import data_file
print('Reading data...')
data_file('datasystem/'+str(file)+'.xlsx')
# delete temporal files
def data_consistency(stages, seriesBack, seriesForw):
... | maep-tools/maep-backend | storage/app/templates/1/python/scripts/main_model.py | main_model.py | py | 7,778 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "scripts.readData.data_file",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "utils.paramvalidation.paramlimits",
"line_number": 22,
"usage_type": "call"
},
{
"api_name"... |
27179598501 | import logging
from unittest import TestCase
from Signage.src.google_street_view_etl import GoogleStreetViewEtl as GSVE
import geopandas as gpd
import numpy as np
import random
class TestGoogleStreetViewEtl(TestCase):
@classmethod
def _get_iter(cls):
_st_shp = gpd.read_file(
"/Users/sunghoo... | Streets-Data-Collaborative/groundwork-detection | Signage/test/test_googleStreetViewEtl.py | test_googleStreetViewEtl.py | py | 2,909 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "geopandas.read_file",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "geopandas.read_file... |
18117015401 | #coding=utf-8
# 05.16 교수요청사항
# 기존의 Search Engine 에서 했던것처럼
# 단어들을 lexical 단위에서 + 형태소 단위에서
# 구조가 아닌 단어들의 이치를 보고 하면 어떻게 되느냐에 대한 코드 작성
import operator
import os
from whoosh.index import create_in
from whoosh.fields import *
from whoosh.qparser import QueryParser
from typing import List, TextIO,Dict
import time
'''________... | DevHyung/ETRI-wiseNLU | Whoosh/whoosh_Origin.py | whoosh_Origin.py | py | 7,529 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.List",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "typing.TextIO",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number"... |
30147989370 | """
BFS
1st group
check visited
add group
2nd+ group
group -> check visited initial
check visited
add group
if len(group) > 0:
Calc
처음부터 말렸다. DFS BFS 중에 고민했고, BFS가 더 효율적으로 제거할 수 있을거라 생각했다.
근데, 생각보다 모든 Cell을 Search하는게 시간을 많이 잡아먹었다.
비효율적으로 Search 할 수 밖에 없다고 생각은 했는데,
바꾼 영역만을 다시 Search하는게 더 좋... | yongjin-shin/code_test | BFS/population_move.py | population_move.py | py | 4,987 | python | ko | code | 0 | github-code | 97 | [
{
"api_name": "sys.stdin",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 121,
"usage_type": "call"
}
] |
2323487448 | from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import Aer, execute
from qiskit.extensions.quantum_initializer.initializer import Initialize
import matplotlib.pyplot as plt
import random
import math
'''Calculate QC'''
def w(x):
count=0
while x:
count+=1
x&=(x-1... | Siyi-06/Quantum_Ling_Adder | n_bits_Quantum_Ling_Adder.py | n_bits_Quantum_Ling_Adder.py | py | 13,677 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "math.floor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "math.log2",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number... |
29791314161 | # auther：Liul8
# date：2020/7/27 15:01
# tools：PyCharm
# Python：3.7.7
from flask import Flask, request, jsonify
from pytesseract import pytesseract
from PIL import Image
import os
import urllib.request
app = Flask(__name__)
ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg'}
def allowed_file(filename):
return '.' in file... | lucas234/tesseract-ocr-server | api.py | api.py | py | 2,233 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_numbe... |
17060267773 | """Management command for syncing requirements."""
from argparse import ArgumentParser
from collections import defaultdict
from logging import getLogger
from typing import Any, Dict, List
from django.core.mail import send_mail
from django.core.management.base import BaseCommand
from django.db.utils import IntegrityErr... | yunojuno-archive/django-package-monitor | package_monitor/management/commands/refresh_packages.py | refresh_packages.py | py | 3,784 | python | en | code | 65 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requirements.requirement.Requirement",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "models.PackageVersion",
"line_number": 24,
"usage_type": "call"
},
{
"api_... |
31447964151 | from typing import Tuple
from neural import *
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
import numpy as np
def parse_line(line: str) -> Tuple[List[float], List[float]]:
"""Splits line of CSV into inputs and output (transormfing output as appropriate)
Args:
l... | LT-Intro-To-AI/assignment7-nadiapesch | main.py | main.py | py | 3,289 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.Tuple",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "mat... |
38429366802 |
# All extension functions for SRW should be imported into this space
# even if they're defined elsewhere.
# Functions should modify extra*Data in place.
# Add DOM node for serialization by ZSI.
# Fr'ex:
# object.extraFooData.append(r.fromString('<a:b c="d">e</a:b>'))
# Configuration in SRW ZeeRex file should look l... | cheshire3/cheshire3 | cheshire3/web/srwExtensions.py | srwExtensions.py | py | 7,698 | python | en | code | 16 | github-code | 97 | [
{
"api_name": "xml.sax.saxutils",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "xml.sax.saxutils",
"line_number": 36,
"usage_type": "argument"
},
{
"api_name": "lxml.builder.ElementMaker",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "lxml.... |
33195823896 | import csv # For parsing tables/users.csv
from typing import List, NamedTuple # For creating a named tuple representing a user
from gmail import send_email # For sending an email to a user
from last_fm import get_tracks_above_threshold # For getting the top tracks for a user
from spotify import (
create_playli... | yayabosh/your-greatest-hits | main.py | main.py | py | 3,131 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "typing.NamedTuple",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "csv.DictReader",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "last_fm.get_tracks_above... |
20332512851 | import unittest
import requests
HOST = "http://127.0.0.1:6000"
class TestApi(unittest.TestCase):
def test_sub_endpoint(this):
response = requests.get(f"{HOST}/api/sub", params={
"lhs": 10,
"rhs": 2
})
assert response.status_code == 200
assert response.json(... | Bartek-stu/github-actions-example | test/test_api.py | test_api.py | py | 1,675 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "unittest.TestCase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"li... |
37560208965 | import pandas as pd
import numpy as np
from pathlib import Path
import itertools
import matplotlib.pyplot as plt
plt.style.use('seaborn-white')
from operator import is_not
from functools import partial
import logging
# create file handler which logs even debug messages
logging.basicConfig(filename=Path(__file__).paren... | nllong/advent_of_code_2021 | day11/run.py | run.py | py | 3,647 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name"... |
33672992235 | import pygame
# Initialize Pygame and set the window size
pygame.init()
size = (700, 500)
screen = pygame.display.set_mode(size)
# Set the background color for the empty grid spaces
bg_color = (255, 255, 255)
screen.fill(bg_color)
# Create entities using rectangles
food_color = (0, 255, 0)
food = pygame.draw.rect(sc... | Limonka11/ArtificialLifeSimulator | Environment/pygameEx.py | pygameEx.py | py | 888 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.rect... |
44674492359 | import os
import json
from flask import Flask, render_template, request
from run_model import bag_of_words
app = Flask(__name__)
@app.route("/ping", methods=["GET"])
def home_view():
return "pong"
@app.route("/bag_of_words", methods=["POST"])
def help_view():
message = request.json
q = message['question'... | kyoungd/simp-help-util | app.py | app.py | py | 451 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.request.json",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "run_model.bag_of_wor... |
5274740281 | from webassets.filter.closure import ClosureJS
class SimpleClosureJS(ClosureJS):
"""
This filter uses the Google Closure Compiler with simple optimizations
turned on.
"""
def __init__(self, disable_ie_checks=False):
super(SimpleClosureJS, self).__init__()
self.disable_ie_checks =... | pmnyc/Data_Engineering_Collections | django_flask_samples/skylines-master/skylines/frontend/assets/filters.py | filters.py | py | 611 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "webassets.filter.closure.ClosureJS",
"line_number": 4,
"usage_type": "name"
}
] |
21695188881 | # -*- coding: utf-8 -*-
from flask import (Blueprint,
g,
render_template,
flash,
redirect,
url_for,
abort)
from flask.ext.login import current_user
from ..services import projects, users, issues
from ..for... | xtao/vilya | vilya/frontend/issue.py | issue.py | py | 2,330 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "flask.Blueprint",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "services.users.first",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "services.users",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "flask.abort",
... |
72564000638 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.contrib import admin
from .models import Product, Provider, Purchase, Departure, Inventory, Brand
from .forms import DepartureForm, PurchaseForm, InventoryForm
# Register your models here.
@admin.register(Product)
class AdminProduct(admin.M... | castillabend/Inventory | apps/inventario/admin.py | admin.py | py | 1,509 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 11,
"usage_type": "call"
},
... |
20958214918 | from rest_framework import serializers
from .models import File
class FileListSerializer(serializers.Serializer) :
user_id = serializers.IntegerField()
name = serializers.CharField(max_length=50)
one_file = serializers.ListField(
child=serializers.FileField( max_length=100000,
... | KashyapTamakuwala/Document_Organizer | file_uploader/uploader/serializers.py | serializers.py | py | 917 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "rest_framework.serializers.Serializer",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.IntegerField",
"line_number": 5,
"usage_ty... |
10771884314 |
[globals().pop(var) for var in dir() if not var.startswith("__")]
from math import sqrt,ceil,log
import pandas as pd
import scipy.stats
data = pd.read_csv('AB_test_data.csv')
data.drop(['date','id'], axis=1, inplace=True)
A = data[data.Variant == 'A']
A.drop(['Variant'], axis=1, inplace=True)
B = data[data.Variant... | Upcoding52/Mkt_AB_testing | HW1.py | HW1.py | py | 2,151 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "scipy.stats.stats.norm.ppf",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "scipy.stats.stats",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "sci... |
18847848052 | import dash
from dash import dcc
from dash import html
import yfinance as yf
import pandas as pd
import plotly.graph_objects as go
from dash.dependencies import Input, Output
import numpy as np
stock_data = None
last_symbol = None
def get_stock_data(symbol):
stock_data = yf.download(symbol, start='2021-01-01', en... | Alex2782/gym_gettex | gui/app_indicators.py | app_indicators.py | py | 4,423 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "yfinance.download",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "dash.Dash",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "dash.html.Div",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "dash.html",
"line_numbe... |
28589215 | import argparse
import numpy as np
from collections import namedtuple
from cshogi import *
parser = argparse.ArgumentParser()
parser.add_argument('book')
parser.add_argument('positions')
parser.add_argument('--depth', type=int, default=512)
args = parser.parse_args()
book = np.fromfile(args.book, BookEntry)
keys = se... | TadaoYamaoka/DeepLearningShogi | dlshogi/utils/book_to_positions.py | book_to_positions.py | py | 1,973 | python | en | code | 180 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.fromfile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
... |
2627756068 | # import standard data science libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
from scipy.spatial.distance import jensenshannon
# import Path to read the csv file in an OS independent way
from pathlib import Path
# Use pickle to save tem... | BryceHackett/BonusBet | GenerateCustomers.py | GenerateCustomers.py | py | 12,259 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.random.gamma",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
... |
10284426777 | import cv2
import numpy as np
cap = cv2.VideoCapture(0)
cap.set(10, 2)
while cap.isOpened() == True:
ret, frame = cap.read()
if ret == True:
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
gray = np.float32(gray)
# shi-tomasi 角点检测
corners = cv2.goodFeaturesToTrack(gray, 100, 0.... | SSC202/OpenCV | OpenCV-Python/Code/8_Feature_detection/shi_tomasi.py | shi_tomasi.py | py | 678 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.float32",
... |
20415631204 | from fastapi import FastAPI
import pandas as pd
app = FastAPI()
df_funcion1 = pd.read_parquet('datasets/df_funcion1.parquet', engine='fastparquet', index=False)
df_funcion2 = pd.read_parquet('datasets/df_funcion2.parquet', engine='fastparquet', index=False)
df_recomendacion_csv = pd.read_csv('datasets/df_recomendacio... | ECBOCANEGRA/Proyecto-Steam | main.py | main.py | py | 1,470 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pandas.read_parquet",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_parquet",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv"... |
35170883767 | import torch
import unittest
from torch_blade import utils
from torch_blade.version import cuda_available
from tests.disc.testing_base import \
DiscTestCase, skipTorchGE, skipTorchLT, isTorchMlirEnable
class TestDiscNNOps(DiscTestCase):
def _test_nn_ops(self, nn_ops_func, x=None):
test_data = torch.... | alibaba/BladeDISC | pytorch_blade/tests/disc/ops/test_nn_ops.py | test_nn_ops.py | py | 4,764 | python | en | code | 707 | github-code | 97 | [
{
"api_name": "tests.disc.testing_base.DiscTestCase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.randn",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "to... |
12822293858 | import gc
import os
import time
import boto3
import dask
import fsspec
import joblib
import numpy as np
import pandas as pd
import rasterio as rio
import rioxarray
import utm
import xarray as xr
import xgboost as xgb
from pyproj import CRS
from rasterio.session import AWSSession
from s3fs import S3FileSystem
import c... | carbonplan/trace | carbonplan_trace/v1/inference.py | inference.py | py | 10,559 | python | en | code | 29 | github-code | 97 | [
{
"api_name": "s3fs.S3FileSystem",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "pyproj.CRS.from_dict",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pyproj.CRS",
... |
10554814853 | #!/bin/python
import requests,re
username = "natas20"
pwd = "eofm3Wsshxc5bwtVnEuGIlr7ivb9KABF"
url = f"http://{username}.natas.labs.overthewire.org/?debug=True"
data={'name':'ag\nadmin 1'}
session = requests.Session()
response= session.post(url,data=data,auth=(username,pwd))
response= session.get(url,auth=(username,... | Sachin-v3rma/random | CTF/N20.py | N20.py | py | 364 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.Session",
"line_number": 8,
"usage_type": "call"
}
] |
32729151891 | import os
import numpy as np
import logging
import argparse
import time
import tensorflow as tf
from skimage import transform
from skimage import morphology
from skimage.morphology import disk
import math
from sklearn.ensemble import RandomForestClassifier
import pickle
import modelProd as model
import f... | Hakim-F/CardiacSegmenter | CardiacModels/Unet2DLGE.py | Unet2DLGE.py | py | 11,488 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "logging.basicConfig",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.placeholder",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tensorfl... |
33928528734 | from app.models import db, Card
import datetime
def seed_cards():
card1= Card(
list_id=1,
workspace_id=1,
index='0',
name='Top 10 Trends list - Forbes',
description='Top 10 Trends list - Forbes',
created_at=datetime.datetime.now()
)
card2= Card(
list... | walkeradkins/whatnext | app/seeds/cards.py | cards.py | py | 4,333 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "app.models.Card",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "app.model... |
519159138 | from functools import reduce
lista = [1,2,3,4]
# Este código da 19 y DEBERÍA dar 20
sumatorioDobles = reduce(lambda x, y: x+y*2, lista)
print(sumatorioDobles)
def SumatorioDobleClasico (l):
resultado = 0
for i in l:
resultado += i*2
return resultado
print(SumatorioDobleClasico(lista))
# Este p... | zopiro00/m02_boot_0 | 01_funciones_nivel/04b_reduce.py | 04b_reduce.py | py | 493 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "functools.reduce",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 21,
"usage_type": "call"
}
] |
27875288992 | import cv2
for j in range(5):
images = []
#if j > 0:
# break
for i in range(5):
image = cv2.imread("./images/c%d_%d.tif"%(j, i))
images.append(image)
stitcher = cv2.Stitcher_create(1)
print(len(images))
(status, stitched) = stitcher.stitch(images)
cv2.imwrite("test%d.p... | teodecarvalho/Microscope | Stitching.py | Stitching.py | py | 878 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.Stitcher_create",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_numbe... |
35167238765 | # regression.py
import torch
from torch import nn
import numpy as np
__all__ = ['_3DMM']
class _3DMM(object):
"""docstring for 3DMM"""
def __init__(self):
super(_3DMM, self).__init__()
self.l1_loss = nn.L1Loss(reduction='none')
self.mse_loss = nn.MSELoss(reduction='none')
self... | human-analysis/3dfacefill | losses/_3dmm.py | _3dmm.py | py | 1,696 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "torch.nn.L1Loss",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.MSELoss",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number... |
73461784319 | import pygame
import random
dice_icon_size = 125
class Dice:
def __init__(self, position):
self.__position = position
self.test = position
self.roll_times = 1
self.__move_times = 0
self.__rotate_times = 0
self.init_dice()
def init_dice(self):
self.roll_... | linitachi/QuickEscape | dice.py | dice.py | py | 1,860 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "random.randint",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pygame.image.load",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "pygame.transform.s... |
2611468120 | from collections import namedtuple
from . import exiv2_wrapper
Rational = namedtuple("Rational", ["numerator", "denominator"])
def convert_to_rational(data):
numerator, denominator = data.split("/")
return Rational(numerator=int(numerator), denominator=int(denominator))
exiv2_2_python = {
"Short": int,
... | UIUCLibrary/DCC_Migrator | DCC_pyMigrator/ext/metadata.py | metadata.py | py | 1,294 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.namedtuple",
"line_number": 4,
"usage_type": "call"
}
] |
8620043073 | """Task 7."""
import functools
import itertools
def valuesunion(*dicts):
answ = set()
for d in dicts:
for el in d.values():
answ.add(el)
return answ
def popcount(n):
s = bin(n)
sum = 0
for i in range(2, len(s)):
if s[i] == '1':
sum += 1
return sum
... | AntonZamyatin/bio-python-course | term1/task7/task7.py | task7.py | py | 6,345 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "itertools.count",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 122,
"usage_type": "call"
}
] |
9217669648 | import matplotlib.pyplot as plt
def prepare_plot(orig_img,orig_mask,pred_mask):
# Initialize our figure
figure,ax = plt.subplots(nrows=1,ncols=3,figsize=(10,10));
# Plot the original image, original mask, predicted mask
ax[0].imshow(orig_mask)
ax[1].imshow(orig_mask)
ax[2].imshow(pred_mask)
... | 0m0D1NGR0NALD/Segmentation-of-Breast-Cancer-Ultrasound-Images | predict.py | predict.py | py | 558 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
}
] |
43724126158 | from sympy import lambdify
from init import x, PRECISION
def chord(y, interval: tuple):
a, b = interval[0], interval[1]
f = lambdify(x, y)
if f(a) * f(b) > 0:
raise Exception("An incorrect interval to be solved by chord method was passed"
"The boundaries of the interval to ... | KirillKurril/numerical_analysis_methods | LWD_3/chord_method.py | chord_method.py | py | 963 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sympy.lambdify",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "init.x",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": "init.PRECISION",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "init.PRECISION",
"line_num... |
15636332367 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app', '0009_remove_ticket_price'),
]
operations = [
migrations.AddField(
model_name='event',
name='p... | kotik1/do | app/migrationOLD/0010_event_price.py | 0010_event_price.py | py | 406 | python | en | code | 0 | github-code | 97 | [
{
"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"
},
{
... |
4364834291 | #!/usr/bin/env python
# coding: utf-8
# In[3]:
import os
import glob
import sys
if len(sys.argv) < 2:
print ("Please enter the path to the data directory")
f = {}
for root, directories, filenames in os.walk(sys.argv[1]): #Change to Data_MPHI for MPHI dataset
for directory in directories:
... | prajwal1210/Stance-Detection-in-Web-and-Social-Media | KDEY/features.py | features.py | py | 11,220 | python | en | code | 29 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number":... |
34591651397 | #!/usr/bin/env python3
"""Parses the wikipedia pages and other sources into JSON."""
import json
import os
import re
from collections import namedtuple, OrderedDict
import iso3166
from bs4 import BeautifulSoup
MNC_OPERATOR_FIELDS = ("mcc", "mnc", "brand", "operator")
COUNTRY_FIELDS = ("name", "iso2", "iso3", "numeri... | mozilla/ichnaea | mobile_codes/parse.py | parse.py | py | 16,980 | python | en | code | 527 | github-code | 97 | [
{
"api_name": "collections.namedtuple",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "... |
25089309829 | import mlrose_hiive as mlrose
import numpy as np
import matplotlib.pyplot as plt
import six
weights = np.random.randint(1, 50, 50) # 100个物品，重量随机在1到50之间
values = np.random.randint(1, 50, 50) # 100个物品，价值随机在5到100之间
max_weight_pct = 0.4
fitness1 = mlrose.Knapsack(weights, values, max_weight_pct)
problem1 = mlrose... | Applauzzz/ML-HW2 | HW2/Part_A.py | Part_A.py | py | 4,185 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.random.randint",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random... |
9079110363 | import os
import tempfile
import pytest
from pytest_splunk_addon.standard_lib.utilities.junit_parser import JunitParser
def test_parse_junit_raises_exception_when_not_fields_are_present_in_testcase():
jp = JunitParser(
os.path.join(
os.path.dirname(__file__), "test_data", "sample_junit_withou... | splunk/pytest-splunk-addon | tests/unit/tests_standard_lib/test_utilities/test_junit_parser.py | test_junit_parser.py | py | 2,267 | python | en | code | 51 | github-code | 97 | [
{
"api_name": "pytest_splunk_addon.standard_lib.utilities.junit_parser.JunitParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
... |
38507290 | import csv
import scipy.stats
import numpy as np
def mean_confidence_interval(data, confidence=0.95):
a = 1.0 * np.array(data)
n = len(a)
m, se = np.mean(a), scipy.stats.sem(a)
h = se * scipy.stats.t.ppf((1 + confidence) / 2., n-1)
return m, m-h, m+h
all_surps_all_k_all_n = dict()
for k in range(... | neilrathi/lm-ditransitive | lstm/analyze.py | analyze.py | py | 1,668 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scipy.stats.stats.sem",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scipy.stats.stats",
"li... |
17363893452 | import PyDAQmx
from daq9211 import *
import Tkinter as tk
import tkFileDialog
import tkMessageBox
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
from matplotlib import pyplot as plt
import matplotlib.animation as animation
import datetime
import ttk
class daq_conf... | Natetempid/nearfield | GUI_Layout_1/GUI_Layout_1/frame_daq_config.py | frame_daq_config.py | py | 14,921 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "Tkinter.Frame",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "Tkinter.Frame.__init__",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "Tkinter.Frame",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "Tkinter.... |
36620387528 | import os
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid import AxesGrid
from skimage.io import MultiImage
from skimage import data_dir
# Load the multi-layer image
fname = os.path.join(data_dir, 'multipage.tif')
img = MultiImage(fname)
# Create an image grid
fig = plt.figure()
grid = AxesGrid(fig,
... | Black-Milk/Dash-Docset | Dash Docsets/scikit-image 0.9.x 2.docset/Contents/Resources/Documents/plots/show_collection.py | show_collection.py | py | 633 | python | en | code | 33 | github-code | 97 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "skimage.data_dir",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "skimage.io.MultiImage"... |
20531971012 | import argparse
import numpy as np
from pulp import *
import random
import math
parser = argparse.ArgumentParser()
parser.add_argument('--mdp', required = True)
parser.add_argument('--algorithm')
parser.add_argument('--policy')
args = parser.parse_args()
def storeMDP(mdpPath):
with open(mdpPath) as file:
... | FreneticXO/mdp-planning | planner.py | planner.py | py | 4,737 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.random.uniform",... |
34238249957 | import evaluate
import torch
import torch.nn.functional as F
from accelerate import Accelerator
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from tqdm.auto import tqdm
from transformers import (
AutoModelForSequenceClassification,
AutoTokenizer,
Da... | john-b-yang/learnx2 | hf/runs/run_33_acc.py | run_33_acc.py | py | 2,698 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datasets.load_dataset",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer.from_pretrained",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer",
"line_number": 19,
"usage_type": "name"
}... |
73319478080 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 10 10:39:27 2021
@author: mac
"""
# -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import numpy as np
from sympy import sieve as euclid
## source: https://stackoverflow.com/questions/2068372/fastest-way-to-list-all-... | knut0815/Monte-Carlo-Hypothesis | data_generation/binary_encoding.py | binary_encoding.py | py | 1,894 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.ones",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.bool",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.r_",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "numpy.nonzero",
"line_nu... |
27047823465 | import streamlit as st
from datetime import date
import yfinance as yf
from prophet import Prophet
import plotly.graph_objects as go
st.title('Stock Forecast App')
stocks = ('GOOG', 'AAPL', 'MSFT', 'AMZN','META','TSLA','BRK.A','JNJ','KO','LLY')
selected_stock = st.selectbox('Select dataset for prediction', s... | Ravi-chandera/StockPredictionApp | app.py | app.py | py | 1,229 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "streamlit.title",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.selectbox",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "streamlit.slider",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.date.tod... |
15837321176 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
""" Increase version and commit changes to git """
from __future__ import print_function
import subprocess
import re
import sys
versionFile = "src/dist.py"
readmeFile = "README.md"
def check_readme(version):
version = '.'.join(map(str, version))
changelog = []
copy... | technic/iptvdream4x | scripts/version-up.py | version-up.py | py | 2,413 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "re.compile",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "subprocess.check_cal... |
43138101551 | from django.shortcuts import render
from .forms import ContactForm, SignUpForm
def home(request):
title = "Welcome"
form = SignUpForm(request.POST or None)
context = {
"title": title,
"form": form
}
if form.is_valid():
instance = form.save(commit = False)
if not instance.full_name:
instance.full_... | hardikzurdo/newsletter | newsletter/views.py | views.py | py | 628 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "forms.SignUpForm",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "forms.ContactForm",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "django.shor... |
73251041918 | import numpy as np
import scipy.io as sio
from datetime import datetime, timedelta
import pandas as pd
import os
import csv
import matplotlib.pyplot as plt
from matplotlib.ticker import ScalarFormatter, MultipleLocator
import matplotlib.mlab as mlab
import scipy as sp
from scipy.interpolate import UnivariateSpline
impo... | franciscolang/Southern_Ocean_BL | Python/MAC-YOTC/07_yotc_mac_all_variables925.py | 07_yotc_mac_all_variables925.py | py | 27,505 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.expanduser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "scipy.io.loadmat",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line... |
4327919460 | from django.db import models
# from ....card import card
from django.contrib.auth import get_user_model
User = get_user_model()
class Game(models.Model):
# Each game is mapped to one user
user = models.OneToOneField(User, on_delete = models.CASCADE)
GAMESTATE = (
('battle','battle'),
('sh... | LucienLuc/project-sts | backend/src/apps/game/main/models.py | models.py | py | 835 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.db.models.Model",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_... |
72065984959 | import argparse
import matplotlib as mpl
import matplotlib.colors as mcolors
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from pandas import ExcelWriter
import re
import time
from scipy import integrate
from scipy.stats import norm, gaussian_kde
from config import config
import config as ... | ssuchek/Travelers | claim_id_weight_comparison.py | claim_id_weight_comparison.py | py | 29,405 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_nam... |
7965832388 | import logging
from pyspark.sql import SparkSession
from pyspark.sql.functions import explode
from pyspark.sql.functions import split
def configure_logging():
logger = logging.getLogger()
logger.setLevel(logging.INFO)
def create_spark():
spark = SparkSession \
.builder \
.appName("Struct... | mleuthold/spark-structured-streaming-on-kafka | structured_streaming/StructuredStreamingApp.py | StructuredStreamingApp.py | py | 2,895 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 13,
"usage_type": "call"
},
{
"api_na... |
14578828891 | import os
import collections
import glob
import scanpy.api as sc
from sklearn import cluster
import pandas
import subprocess
from utils.config import Configuration
import matplotlib.pyplot as plt
import numpy
import shutil
from interface.singlecellexperiment import SingleCellExperiment
config = Configuration()
class... | mwiens91/SCRNApipeline | interface/tenxanalysis.py | tenxanalysis.py | py | 12,444 | python | en | code | null | github-code | 97 | [
{
"api_name": "utils.config.Configuration",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",... |
33351114906 | import tensorflow as tf
import data as DataHelper
import numpy as np
import time
def add_eos(sentences):
for i in range(len(sentences)):
sentences[i] = np.append(sentences[i], DataHelper.eos_id)
return sentences
samples, labels = DataHelper.get_train_set()
labels = add_eos(labels)
vocab_src, vocab_t... | phathuynh55/Test-10k-sentences | model.py | model.py | py | 12,832 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "data.eos_id",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "data.get_train_set",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "data.get_vocabs",
... |
5400078101 | from pyramid.httpexceptions import HTTPBadRequest
from pyramid_jsonapi.http_query import QueryInfo
from rqlalchemy import RQLQueryMixIn
from sqlalchemy.orm import load_only, Query as BaseQuery
class PJQueryMixin:
@staticmethod
def from_view(view, **kwargs):
query = view.dbsession.query(
v... | colinhiggs/pyramid-jsonapi | pyramid_jsonapi/db_query.py | db_query.py | py | 4,647 | python | en | code | 26 | github-code | 97 | [
{
"api_name": "sqlalchemy.orm.load_only",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pyramid_jsonapi.http_query.QueryInfo",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pyramid.httpexceptions.HTTPBadRequest",
"line_number": 69,
"usage_type": "c... |
24353320453 | # -*- coding: utf-8 -*-
#!/usr/bin/env python3
"""
Created on Tue Dec 12 15:01:40 2017
@Mail: minnglee@163.com
@Author: Ming Li
"""
import sys,os,logging,click
logging.basicConfig(filename='{0}.log'.format(os.path.basename(__file__).replace('.py','')),
format='%(asctime)s: %(name)s: %(levelname)s: ... | minglibio/Script | Selection/GetWinSweepFinder.py | GetWinSweepFinder.py | py | 2,358 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "logging.basicConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.DEBUG",
... |
2651258516 | #!/usr/bin/python
from jinja2 import Environment, FileSystemLoader
import cherrypy, redis
class Kitchen(object):
env = Environment(loader=FileSystemLoader("templates"))
red = redis.StrictRedis(host='localhost', port=6379, db=0)
def index(self, e=env, r=red):
t = e.get_template("index.html")
d = ... | lloyddiz/Kitchen | kitchen.py | kitchen.py | py | 1,920 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "jinja2.Environment",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "redis.StrictRedis",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cherrypy.HT... |
13156440200 | import scrapy
import json
import copy
from functools import partial
from dateutil import parser
class BlogSpider(scrapy.Spider):
name = 'runsignup'
download_delay = 0.25
#start_urls = ['https://runsignup.com/Race/FL/DaytonaBeach/DaytonaBeachHalf']
#start_urls=['https://runsignup.com/Race/NY... | chaserigby/racepass | crawlers/runsignup2.py | runsignup2.py | py | 3,751 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "scrapy.Spider",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "copy.copy",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 71,
"usage_type": "call"
}
] |
41519111561 | from __future__ import absolute_import
import sys
import traceback
from time import time
from datetime import datetime
from contextlib import contextmanager
from textwrap import indent
from logging import getLogger
_logger = getLogger(__name__)
class PException(Exception):
"""An exception object that can accept ... | real-easypy/easypy | easypy/exceptions.py | exceptions.py | py | 5,346 | python | en | code | 13 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "traceback.format_exc",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "textwrap.indent",
... |
28149472696 |
# coding: utf-8
# In[37]:
import numpy as np
import matplotlib.pyplot as plt
import cv2
import os
from tqdm import tqdm
DIR='C:/Users/Asus/Downloads/ML DATASETS/Dogs Vs Cats/'
CATEGORIES = ['dog', 'cat']
train_path=os.path.join(DIR, 'train')
IMG_SIZE = 100
for img in tqdm(os.listdir(train_path)):
label = img.... | GameLogist/Machine-Learning | Deep Learning/Dogs_vs_cats_CNN.py | Dogs_vs_cats_CNN.py | py | 3,001 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "tqdm.tqdm",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 1... |
31485309379 | from PyQt6.QtWidgets import QApplication, QMainWindow
from PyQt6 import uic
from PyQt6.QtGui import *
from PyQt6.QtWidgets import *
from PyQt6.QtCore import *
from PyQt6 import QtWidgets, QtGui, QtCore
from PyQt6.QtGui import *
from PyQt6.QtWidgets import *
from PyQt6 import *
from PyQt6 import QtWidgets, QtGui, QtCo... | Carl-Walters-Portfolio/Product-Tracking-System | view/app.py | app.py | py | 10,625 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.path.append",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
41283984082 | import argparse
import os
count = 0
def get_directory():
parser = argparse.ArgumentParser(description='Count the number of JSON files in a directory')
parser.add_argument('path', help='Path to target directory')
args = parser.parse_args()
return args.path
target_dir = get_directory()
if not os.pa... | patryk-jedrzejewski/TaskNeudea | search_dir.py | search_dir.py | py | 548 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"l... |
71017359358 | from flask import Flask, render_template, request
#from Admission_New import calc
import pandas as pd
app = Flask(__name__)# interface between my server and my application wsgi
import pickle
model = pickle.load(open(r'C:\Users\nagap\Downloads\IBM\model.pkl','rb'))
@app.route('/')#binds to an url
def helloworld()... | smartinternz02/SBSPS-Challenge-10381-1691070396 | app.py | app.py | py | 3,800 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
... |
17833163907 | import Globals
from direct.gui.DirectGui import *
from pandac.PandaModules import *
from direct.actor.Actor import Actor
from toon import Toon
from GenderShop import GenderShop
from ColorShop import ColorShop
from BodyShop import BodyShop
from ClothingShop import ClothingShop
from NameShop import NameShop
class MakeAT... | SamGoodin/Toontown | makeatoon/MakeAToon.py | MakeAToon.py | py | 20,548 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "GenderShop.GenderShop",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "BodyShop.BodyShop",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "ColorShop.ColorShop",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "ClothingS... |
5926769298 | """
This module deals with the AvailableBuildings object.
"""
__docformat__ = "google"
from models.enums import Buildings
from collections import Counter
import random
class AvailableBuildings:
availability: list[str]
"""
The availability of each building based on the current buildings array. \n
For ... | hwennnn/SimpCity | models/available_buildings.py | available_buildings.py | py | 5,266 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "models.enums.Buildings.BEACH",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "models.enums.Buildings",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "models.enums.Buildings.FACTORY",
"line_number": 36,
"usage_type": "attribute"
... |
25987508861 | # -*- coding: cp1252 -*-.
# Created on 21/mag/2014
# @author: mda
#!/usr/local/bin/python
import datetime
from pygeocoder import Geocoder
from pygeolib import GeocoderError
import re
import rThinkGbl as gL
import phonenumbers
import inspect
import urllib
def SetNow():
# data corrente del run
wrk = datetime.da... | micheledalonzo/rThink | rThinkFunctions.py | rThinkFunctions.py | py | 8,036 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "rThinkGbl.StdCar",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "rThinkG... |
73463724800 | from http import HTTPStatus
from urllib import parse
from django.contrib.auth import get_user_model
from django.test import TestCase, Client
from django.urls import reverse
from ..models import Post, Group
from .constants import (
INDEX_URL_NAME,
GROUP_LIST_URL_NAME,
PROFILE_URL_NAME,
POST_DETAIL_URL_... | OlegMusatov3000/hw05_final | yatube/posts/tests/test_urls.py | test_urls.py | py | 5,695 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.test.TestCase",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "models.Group.objects.create",
"line_number": 28,
"usage_type": "call"
},
{
... |
23510010792 | import os
import js2py
TRANSLATED_FILE_NAME = "text_validation.py"
def translate():
# read js file
with open('index.js', 'r') as file:
js_code = file.read().split("module.exports")[0].strip()
# augment and write to disk
f = open("temp.js", "w")
f.write(js_code)
f.close()
# trans... | hyroai/text-validation | translate_js2py.py | translate_js2py.py | py | 487 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "js2py.translate_file",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.remove",
"line_number": 21,
"usage_type": "call"
}
] |
31275919817 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 2 14:51:29 2020
@author: peter
"""
import os
import pandas as pd
import geopandas as gpd
import matplotlib as mpl
import matplotlib.pyplot as plt
import math
import statistics
import numpy as np
import scipy.stats
mpl.style.use('tableau-colorblin... | ppiont/cnn-soc-wagga | old/sample_statistics.py | sample_statistics.py | py | 1,570 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.style.use",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.style",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams.update",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": ... |
11437091806 | import numpy as np
import argparse
import logging
import os
import matplotlib.pyplot as plt
import cv2
import numpy as np
import torch
import torch.nn.functional as F
from PIL import Image
import cv2
import itertools
from scipy.interpolate import LinearNDInterpolator
# phi(x1, x2) = r^2 * log(r), where r = ||x1 - ... | XiangWeiJiang/Document_Geometry_Dewarping | optim/tps.py | tps.py | py | 3,452 | python | en | code | 13 | github-code | 97 | [
{
"api_name": "torch.log",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_numb... |
45184016024 | from django.contrib.auth.models import Permission, User
from rest_framework import serializers
from rest_framework_simplejwt.serializers import TokenObtainPairSerializer
class UserSerializer(serializers.ModelSerializer):
user_permissions = serializers.SlugRelatedField(many=True, read_only=True, slug_field="codena... | Qlas/VRPTW | backend/user/serializers.py | serializers.py | py | 1,261 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.SlugRelatedField",
"line_number": 7,
... |
4022687815 | import sys
from pyspark.sql import SparkSession
class PaidPaymentsProcessor:
def __init__(self, app_name="BakeryPayments"):
self.app_name = app_name
def process(self, payments="./data/payments/payments.csv"):
if len(sys.argv) > 1:
payments = sys.argv[1]
spark = SparkSes... | caioaraujo/bakery-payments-spark-processor | src/processors.py | processors.py | py | 760 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "... |
20381610731 | import sqlite3
data_base = sqlite3.connect('data_base_name')
cursor = data_base.cursor()
cursor.execute('CREATE TABLE IF NOT EXISTS table_name(name text,age int,info text)')
data_base.commit()
# # 数据增加
# cursor.execute('INSERT INTO table_name VALUES ("python",29,"最好的语言")')
# cursor.execute('INSERT INTO table_name VALU... | BaoZT/SqliteLearning | Part1_BasicOperation.py | Part1_BasicOperation.py | py | 1,250 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlite3.connect",
"line_number": 2,
"usage_type": "call"
}
] |
29848777898 | from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from django.db import IntegrityError
from django.db.models import fields
from django.db.models.fields import TextField
from django.forms import widgets
from django.http import HttpResponseRedirect
from ... | atulyd4/commerce | auctions/views.py | views.py | py | 7,618 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "models.Listing",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.db.mod... |
20680157685 | """Boxplots of the data"""
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
from scipy.io import loadmat
from scipy.stats import zscore
from itertools import product
from utils import rm_outliers
from params import STATE_LIST, FREQ_DICT, CHANNEL_NAMES, SAVE_PATH
SAVE_PATH /= "psd"
RANDOM = 666
... | arthurdehgan/sleep | visu_data_boxplot.py | visu_data_boxplot.py | py | 1,714 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "params.SAVE_PATH",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "params.CHANNEL_NAMES",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "itertools.product",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "params.ST... |
44961811266 | import base58
from factom_did.client.constants import ENTRY_SCHEMA_V100
from factom_did.client.enums import DIDKeyPurpose, KeyType
from factom_did.client.keys.abstract import AbstractDIDKey
class DIDKey(AbstractDIDKey):
"""
Application-level key, which can be used for authentication, signing requests, encryp... | factomatic/py-factom-did | factom_did/client/keys/did.py | did.py | py | 3,839 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "factom_did.client.keys.abstract.AbstractDIDKey",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "factom_did.client.enums.DIDKeyPurpose.PublicKey",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "factom_did.client.enums.DIDKeyPurpose",
"l... |
11918085246 | #!/usr/bin/python
'''
Author: Marco Ragone, Computational Multiphase Transport Laboratory, University of Illinois at Chicago
'''
import numpy as np
import os
from skimage.filters import gaussian
import tensorflow as tf
class Random_Imaging():
"""
* Random_Imaging: class to perform random transformations... | mrcragone72/ColumnHeights-DeepLearning | scripts/dataset_scripts/dataset_utils.py | dataset_utils.py | py | 3,368 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.random.uniform",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "skimage.filters.gaussian",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy... |
25582854847 | import os
import sys
import enum
import time
import urllib
import threading
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any, Callable
if TYPE_CHECKING:
import mpv
from ..core.controller import Controller # noqa: F401
PlayerEvent = enum.Enum('PlayerEvent', 'VIDEO_OVER VIDEO_QUIT')
... | kpj/Vydia | vydia/extra/player.py | player.py | py | 8,550 | python | en | code | 11 | github-code | 97 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "abc.ABC",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_nu... |
44856764069 | from statistics import mean
from test_model import Test
class TrainFmModel():
def __init__(self,model, optimizer, data_loader, full_dataset, criterion, device, topk, log_interval=100):
self.model = model
self.optimizer = optimizer
self.data_loader = data_loader
self.full_dataset = ... | keyalp/ai-recommender | train_fm_model.py | train_fm_model.py | py | 1,936 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "statistics.mean",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "test_model.Test.testModel",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "test_model.Test",
"line_number": 40,
"usage_type": "name"
}
] |
21928430747 | from os import remove
from os.path import isfile, join
from tempfile import NamedTemporaryFile
from platformio.commands.check.defect import DefectItem
from platformio.commands.check.tools.base import CheckToolBase
from platformio.managers.core import get_core_package_dir
class CppcheckCheckTool(CheckToolBase):
d... | socallinuxexpo/scaleav-deb | opt/scaleavvenv/lib/python3.6/site-packages/platformio/commands/check/tools/cppcheck.py | cppcheck.py | py | 4,716 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "platformio.commands.check.tools.base.CheckToolBase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "platformio.commands.check.defect.DefectItem.SEVERITY_HIGH",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "platformio.commands.check.defec... |
3109002414 |
#
# 吴恩达老师深度学习第一课例子
#
import numpy as np
import matplotlib.pyplot as plt
import h5py
import scipy
from PIL import Image
from scipy import ndimage
import os
import imageio
from skimage.transform import resize
import skimage
dir_name = os.path.dirname(__file__)
if dir_name == "":
dir_name= "."
#吴恩达老师的猫,通过网上下载
#有209... | asmcos/AIDocs | examples/dl_lession_week4.py | dl_lession_week4.py | py | 21,446 | python | en | code | 6 | github-code | 97 | [
{
"api_name": "os.path.dirname",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "h5py.File",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number... |
34629217293 | # Importing Libraries
import numpy as np
import cv2
# img = cv2.imread('smarties.png')
img = cv2.imread('shapes1.jpg')
output = img.copy()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# We blur the image as Hough Circle Transform works better with blurred images
gray = cv2.medianBlur(gray, 5)
circles = cv2.HoughCir... | mclods/gods-eye | 24. hough_circle_transform/detecting_circles_using_hough_circle_transform.py | detecting_circles_using_hough_circle_transform.py | py | 708 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cv2.medianBlur",
"li... |
5194473285 | import folium # library for maps
import time
import csv
arr = []
rows = []
#instead of csv we had to use sql databases
with open('file.csv', 'r') as file:
reader = csv.reader(file)
for row in reader:
arr.append(row)
larr = len(arr) + 1
while True:
#send request to database
... | buldosik/300bytes | event_finder.py | event_finder.py | py | 1,370 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "csv.reader",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "folium.Map",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "folium.Marker",
"line_number": 3... |
26331420058 | from termcolor import cprint
class Road:
def __init__(self, start, end, distance):
self.start = start
self.end = end
self.distance = distance
class Warehouse:
def __init__(self, name, content):
self.name = name
self.content = content
self.road_out = None
... | JohnGat01/New_Projects | practise_10/track_game.py | track_game.py | py | 6,998 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "termcolor.cprint",
"line_number": 204,
"usage_type": "call"
},
{
"api_name": "termcolor.cprint",
"line_number": 214,
"usage_type": "call"
},
{
"api_name": "termcolor.cprint",
"line_number": 216,
"usage_type": "call"
},
{
"api_name": "termcolor.cprin... |
40988027626 | from arena_bot import ArenaBot
from models import Player, TaskProficiency
from discord.ext.commands import Cog, Context, command
class Core(Cog):
"""Cog holds Core commands"""
def __init__(self, bot: ArenaBot):
self.bot = bot
@command()
async def join(self, ctx: Context):
"""Join if... | GDWR/DiscordArena | bot/cogs/core.py | core.py | py | 1,362 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "arena_bot.ArenaBot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Context",
"line_number": 14,
"usage_type": "name"
},
{
"api_name"... |
24457948037 | DEBUG=True
def log(s):
if DEBUG:
print(s)
import torch
# import visdom
import argparse
from ptsemseg.models import get_model
from scipy.ndimage.interpolation import zoom
from ptsemseg.utils import *
# try:
# import pydensecrf.densecrf as dcrf
# except:
# print(
# "Failed to import pyden... | wkkxixi/segment_3D | test.py | test.py | py | 9,217 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.from_numpy",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
... |
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