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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
34677552243 | import logging
import numpy as np
from ComperfModelling import predict_from_model
def run_kernel_density_estimation(values, normalised=False, normalisation_statistic=0):
values = values.reshape(-1,1)
# What should bandwidth be? Add as part of experiment configuration?
bandwidth = 100000
evaluation_gap = 50000
... | Richard549/ComPerf | src/ComperfAnalysis.py | ComperfAnalysis.py | py | 28,464 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.amax",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.amin",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 3... |
15031346901 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys, os
sys.path.append(os.path.dirname(__file__))
import argparse
from CustomPrint import custom_print_init, print_info, print_debug, print_error, print_warning
from Scrapers import url2recipe_json
from RecipeOutput import recipe_output
from CustomExceptions im... | rodneyshupe/recipe-dl | recipe_dl/main.py | main.py | py | 6,146 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
6535858908 | import os
import requests
SESSION_ID = os.getenv("aoc_session_id")
def get_data(day=1):
headers = {"cookie":f"session={SESSION_ID}"}
days_data = requests.get(f"https://adventofcode.com/2022/day/{day}/input", headers=headers)
if not os.path.exists(f"advent_of_code\day_{day}"):
os.makedirs(f"adve... | OliverWBurke/advent_of_code_2022 | advent_of_code/utils.py | utils.py | py | 533 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.getenv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,... |
17251067645 | import os
import pandas as pd
from PIL import Image
import numpy as np
import torch
import torch.nn.functional as F
import torchvision.datasets as datasets
from torch.utils.data import Dataset, DataLoader
import torchvision.models as models
import torchvision.transforms as transforms
import matplotlib.pyplot as plt
im... | Peter870512/ML_2020Spring | HW6/hw6_best.py | hw6_best.py | py | 6,895 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.device",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "torch.from_numpy",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torchvision.tr... |
32786726933 | import boto3
import re
from datetime import datetime, timedelta
import os
def lambda_handler(event, context):
TERMINATION_AGE = 0
ec2_client = boto3.client('ec2', region_name='us-east-1')
# Get a list of stopped instances
instances = ec2_client.describe_instances(Filters=[{'Name': 'instance-... | SuleymanBat/TROUBLESHOOTING_SOLUTIONS_FOR_DEVOPS | TERRAFORM/terraform-stoppedEC2s/lambda.py | lambda.py | py | 1,468 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "boto3.client",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",... |
26238422374 | import logging
import logging.config
import os
from typing import Union
class Reporter:
def __init__(self,
logger: Union[logging.Logger, None] = None,
lvl: int = logging.INFO) -> None:
"""Reporter Class.
Parameters
----------
logger : logger or... | danielkelshaw/PySwallow | pyswallow/utils/reporter.py | reporter.py | py | 1,301 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "typing.Union",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "logging.Logger",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger"... |
72274079145 | from typing import Tuple, List
import pandas as pd
import time
import re
import functools
class Processor:
def __init__(self, dataframe: pd.DataFrame):
self._df = dataframe
def get(self):
return self._df.copy()
def __repr__(self) -> str:
return self._df.__repr__
de... | hungngocphat01/python-mutils | mutils/pandas.py | pandas.py | py | 1,113 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.DataFrame",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "re.match",
"line_num... |
72150153383 | import chunk
from nltk.tokenize import word_tokenize,sent_tokenize ,PunktSentenceTokenizer
from nltk.corpus import stopwords,state_union
from nltk.stem import PorterStemmer
import nltk
def token(inputs):
# input = "hi vi what time is it"
return (sent_tokenize(inputs))
def sw():
text = "token is showing thi... | astroxiii/VI-CORE | expirment.py | expirment.py | py | 4,160 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nltk.tokenize.sent_tokenize",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 12,
"usage_type": "name"
},
{
"api_... |
3273044860 | #!/usr/bin/env python3
import base64
import hashlib
import os
import random
import string
from subprocess import Popen, PIPE
API = "https://corona-stats.online?top=15"
def execute_payload():
print("######### DONT BE A COVIDIOT, STAY @ HOME #########")
cmd1 = Popen(["curl", "-s"] + [API], stdout=PIPE)
cmd... | ysyesilyurt/virus.py | sandbox/virus.py | virus.py | py | 2,726 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "subprocess.Popen",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "subprocess.Popen",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
... |
22035870178 | import asyncio, gbulb, logging, logging.handlers
from multiprocessing import Process
from python_dbus_system_api import start_server
from ustatus.ustatus import Ustatus
from ustatus.utils.notifications import notify_error
def main():
setup_logging()
# Ensure API is running (if already running this will just... | mbrea-c/ustatus | src/ustatus/main.py | main.py | py | 1,070 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "multiprocessing.Process",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "python_dbus_system_api.start_server",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "gbulb.install",
"line_number": 16,
"usage_type": "call"
},
{
"api_nam... |
42737050383 | from brownie import network, AdvancedCollectible
from scripts.helpful_scripts import get_account, get_gtype, OPENSEA_URL
# File uploaded to IPFS and took the
god_metadata_dic = {
"SHIVA": "https://ipfs.io/ipfs/QmULNZ8umdtXYAUB5y9UpaLXBNmN7SCgcpnMbEdx5eSEyi?filename=0-SHIVA.json",
# "GANESH": "https://ipfs.io/i... | shubhamghimire/nft-demo | scripts/advanced_collectible/set_tokenuri.py | set_tokenuri.py | py | 1,360 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "brownie.network.show_active",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "brownie.network",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "brownie.AdvancedCollectible",
"line_number": 14,
"usage_type": "name"
},
{
"api_name"... |
10650544707 | # Server that provides some services related with genes and chromosomes using the HTTP protocol.
# The user introduces the parameters through the main page HTML, the data is taken from the rest.ensembl.org
# web page and the results are presented in another HTML page.
# importing the needed resources
import http.serve... | paugarciar/2018-19-PNE-Final-project | some tests (drafts)/server_without json object.py | server_without json object.py | py | 10,515 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "http.server.client.HTTPSConnection",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "http.server.client",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "http.server",
"line_number": 21,
"usage_type": "name"
},
{
"api_name":... |
2031636755 | import os
import sys
import torch
import numpy as np
import time
cur_path = os.path.abspath(os.path.dirname(__file__))
root_path = os.path.split(cur_path)[0]
sys.path.append(root_path)
from torchvision import transforms
from PIL import Image
from segmentron.utils.visualize import get_color_pallete
from segmentron.mod... | GhadeerElmkaiel/Trans2Seg | tools/demo.py | demo.py | py | 13,641 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.split",
"line_n... |
41537740788 | # -*- coding: utf-8 -*-
# @Time : 2018/4/19 9:43
# @Author : Narata
# @Project : demo
# @File : view.py
# @Software : PyCharm
from django.shortcuts import render
from django.http import HttpResponse
def add(request):
a = request.GET['a']
b = request.GET['b']
callback = request.GET['callback']
... | narata/demo | ajax/view.py | view.py | py | 447 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 18,
"usage_type": "call"
}
] |
22166964803 | import sqlite3
import pandas as pd
# Define DBOperation class to manage all data into the database.
# Give a name of your choice to the database
class DBOperations:
sql_create_table_firsttime = "CREATE TABLE IF NOT EXISTS employee (" \
"employee_id INTEGER PRIMARY KEY AUTOINCREMEN... | SvetA95/DatabasesAndCloud_Assignment3 | lab3.py | lab3.py | py | 9,339 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql_query",
"line_number": 102,
"usage_type": "call"
}
] |
38941944677 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import datetime
from django.utils.timezone import utc
class Migration(migrations.Migration):
dependencies = [
('shifts_app', '0010_auto_20171130_2233'),
]
operations = [
migrations.R... | ssrahman34/Employee-Shifts-Project | shift_project/shifts_app/migrations/0011_auto_20171201_2240.py | 0011_auto_20171201_2240.py | py | 924 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.RemoveField",
"line_number": 16,
"usage_type": "call"
},
... |
21695020276 | """mtgrecorder URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.9/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class... | edasaur/mtg-recorder | mtgrecorder/urls.py | urls.py | py | 1,981 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.conf.urls.url",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.include",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "dj... |
74788588584 | import itertools
from day07.day7_lib import calc_amp, calc_amp_with_feedback
from util import get_program
if __name__ == "__main__":
p = get_program("inputs/day7.txt")
all_possible_phase_settings = itertools.permutations(range(5))
a_max, max_config = max(
((calc_amp(p, phase_config), phase_config... | el-hult/adventofcode2019 | day07/day7_runner.py | day7_runner.py | py | 797 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "util.get_program",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "day07.day7_lib.calc_amp",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "day07.d... |
18953334688 | import numpy as np
from collections import Counter
import pandas as pd
from math import log10
import matplotlib.pyplot as plt
from HMM_errors import *
class SequenceReader:
"""
This class builds HMM from protein or DNA sequence alignment.
"""
def __init__(self, path_to_file, amino_acids=True, del... | Kronossos/SAD2_project_2 | SequenceReader.py | SequenceReader.py | py | 11,452 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.DataFrame",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "collections.Co... |
17797113504 | from __future__ import absolute_import, division, print_function, unicode_literals
import os
from pants.base.build_environment import get_buildroot
from pants_test.backend.python.pants_requirement_integration_test_base import \
PantsRequirementIntegrationTestBase
class PantsRequirementIntegrationTest(PantsRequire... | fakeNetflix/twitter-repo-pants | tests/python/pants_test/backend/python/test_pants_requirement_integration.py | test_pants_requirement_integration.py | py | 2,104 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pants_test.backend.python.pants_requirement_integration_test_base.PantsRequirementIntegrationTestBase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2... |
28370505452 | import itertools
import os
import pathlib
from typing import List
import pytest
from fastapi.testclient import TestClient
from indigo_service import jsonapi
from indigo_service.indigo_http import app
client = TestClient(app)
test_structures = [
{"structure": "CNC", "format": "auto"},
{"structure": "CN1C=NC... | karen-sarkisyan/Indigo | api/http/tests/test_indigo_http.py | test_indigo_http.py | py | 4,788 | python | en | code | null | github-code | 36 | [
{
"api_name": "fastapi.testclient.TestClient",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "indigo_service.indigo_http.app",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "typing.List",
"line_number": 46,
"usage_type": "name"
},
{
"api_... |
3656577055 | import os
from ultralytics import YOLO
import cv2
from tracker import Tracker
import numpy as np
videoDir = os.path.\
join('.','data','people.mp4')
cap = cv2.VideoCapture(videoDir)
tracker = Tracker()
ret, frame = cap.read()
# uses deep sort
model = YOLO("yolov8n.pt")
num_1 = 0
num_2 = 0
... | PeterGQ/SuspicionDetector | main.py | main.py | py | 4,791 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tracker.Tracker",
"line_... |
32698917361 | from __future__ import annotations
import os
from typing import Union, TYPE_CHECKING
if TYPE_CHECKING:
from api.python.script_building.dag import DAGNode
from api.python.operator.nodes.matrix import Matrix
from api.python.operator.nodes.frame import Frame
from api.python.operator.nodes.scalar import Sc... | daphne-eu/daphne | src/api/python/utils/consts.py | consts.py | py | 1,109 | python | en | code | 51 | github-code | 36 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"lin... |
12211586840 | import fileinput
from collections import Counter
from operator import mul, ne
from itertools import product
lines = list(map(lambda e: e.strip(), fileinput.input()))
counts = map(Counter, lines)
values = map(lambda e: set(e.values()), counts)
has_2_3 = map(lambda e: (2 in e, 3 in e), values)
sum_2_3 = map(sum, zip(*h... | whg/aoc2018 | day2.py | day2.py | py | 585 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "fileinput.input",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "operator.mul",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "itertools.product"... |
15731069765 | from __future__ import annotations
from typing import Any
from typing import Callable
from typing import Iterator
from typing import List
from typing import Optional
from typing import Type
from typing import TYPE_CHECKING
from typing import Union
from .. import util
from ..operations import ops
if TYPE_CHECKING:
... | sqlalchemy/alembic | alembic/autogenerate/rewriter.py | rewriter.py | py | 7,384 | python | en | code | 2,219 | github-code | 36 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 97,
"usage_type": "name"
},
{
"api_name": "typing.Type",
"... |
24339607859 | from logging import Logger
from pathlib import Path
import shutil
class IsNotAFileError(OSError):
"""Exception raised if operation only works on files."""
class IsNotADirectoryError(OSError):
"""Exception raised if operation only works on directories."""
class NonEmptyDirectoryError(OSError):
"""Excep... | src-d/ml-mining | sourced/ml/mining/utils/fs.py | fs.py | py | 2,380 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "logging.Logger",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_num... |
5799651728 | import vqa_gradients
import numpy as np
from scipy.linalg import expm
from scipy.stats import unitary_group
from scipy.misc import derivative
import functools as ft
tp = lambda a,b: np.tensordot(a,b,axes=0)
n_qubits = 3
H = 1/np.sqrt(2) * np.array([[1,1],[1,-1]])
X = np.array([[0,1],[1,0]])
M = ft.reduce(tp, np.re... | Mark-D-W/vqa_gradients | tests/test_Series.py | test_Series.py | py | 1,176 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.tensordot",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number"... |
30333853221 | import cv2
import numpy as np
import matplotlib.pyplot as plt
# H entre 0 e 33 (cor de pele)
# S entre 58 e 255 (saturação S baixo = branco)
# V entre 30 e 255 (V = 0 preto)
min_HSV = np.array([0, 58, 30], dtype="uint8")
# for better results, use skin-detector-YCrCb colorspace
max_HSV = np.array([33, 255, 255], dtype="... | Vicinius/digital-image-processing | pratica05/skin-detector-hsv.py | skin-detector-hsv.py | py | 721 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_numbe... |
71929274345 | from model import Todo
import motor.motor_asyncio
client = motor.motor_asyncio.AsyncIOMotorClient('mongodb://root:example@localhost:27017/TodoList?authSource=admin')
database = client.TodoList
collection = database.todo
async def fetchOneTodo(title):
document = await collection.find_one({"title":title})
retur... | coronel08/farm-stack-todo | backend/database.py | database.py | py | 912 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "motor.motor_asyncio.motor_asyncio.AsyncIOMotorClient",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "motor.motor_asyncio.motor_asyncio",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "motor.motor_asyncio",
"line_number": 4,
"usage_... |
31706326025 | import argparse
import torch
import os
from torch.utils.data import DataLoader
from dataset.dataset import Crowd
from model.model import Count
import numpy as np
def parse_arg():
parser = argparse.ArgumentParser()
parser.add_argument('--downsample-ratio', default=8, type=int,
help='the... | cha15yq/CUT | test.py | test.py | py | 2,238 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.backends",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "dataset.d... |
23410785734 | # -*- coding: utf-8 -*-
"""
简单的两步任务, 串行.
"""
from datetime import datetime
from airflow.decorators import dag, task
dag_id = "dag2"
@dag(
dag_id=dag_id,
start_date=datetime(2021, 1, 1),
schedule="@once",
catchup=False,
)
def dag2():
"""
这个例子中我们有两个 Task, 先运行 Task 1, 再运行 Task 2. 如果 Task 1 不成功... | MacHu-GWU/Dev-Exp-Share | docs/source/Open-Source-Softwares/Amazon-Managed-Workflows-for-Apache-Airflow-MWAA/02-Common-Patterns/dags/dag2.py | dag2.py | py | 2,892 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "random.randint",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
... |
16559387946 | from rich import print
from rich.console import Console
from rich.table import Table
from decimal import *
import sys
# TODO: Load file by launching with arguments
# Pitch calculation for non feed/rev
# Ignore comments when finding G84
manualFile=False
filePath = "Sample Gcode/Solidworks/CGIP11719.nc"
if... | nick-burrill/Gcode-Tools | Tap Checker.py | Tap Checker.py | py | 3,497 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "rich.print",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rich.print",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "rich.console.Console",
"line... |
26312475383 | import sys
from os import path
import numpy
import scipy
import cupy
import cupyx
import datetime
from dataclasses import dataclass
@dataclass
class ExecutionSetup:
gpu: bool = False
precision: str = 'float64'
data_folder: str = f".{path.sep}data{path.sep}"
precision_np = numpy.float64
precision_cp... | chrasa/removal-of-imaging-artifacts-NN | cpu_gpu_abstraction.py | cpu_gpu_abstraction.py | py | 3,305 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.sep",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "numpy.float64",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "cupy.float64",
"line_... |
25937674832 | from core.base_classes.entity import BaseEntityProps
from core.value_objects import DateVO, ID
from abc import ABC, abstractmethod
from typing import Any, Generic, TypeVar, get_args
from infrastructure.database.base_classes.mongodb import OrmEntityBase
Entity = TypeVar('Entity', bound=BaseEntityProps)
OrmEntity = Typ... | KCDichDaNgu/KC4.0_DichDaNgu_BackEnd | src/infrastructure/database/base_classes/mongodb/orm_mapper_base.py | orm_mapper_base.py | py | 1,853 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.TypeVar",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "core.base_classes.entity.BaseEntityProps",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.TypeVar",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "t... |
35243312943 | from rest_framework import serializers
from rest_framework.renderers import JSONRenderer
from rest_framework.response import Response
from rest_framework.views import APIView
from .models import Group, Facultie, Student, HistoryOfRating
class FacultiesSerializers(serializers.ModelSerializer):
class Meta... | Ruslan1kHasanov/social_project | main/serializers.py | serializers.py | py | 4,354 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "models.Facultie",
"line_number": 11,
"usage_type": "name"
},
... |
38177166821 | import logging
import os
from django.conf import settings
from django.db.models import Q
from django.http import HttpResponse
from django.utils.safestring import mark_safe
from cvAppMain.helpers import get_cv_url
from cvAppMain.models import GeneratedPDF
logger = logging.getLogger('django')
def make_context(proces... | EricFelixLuther/cvApp | cv_App/cvAppMain/pdf_logic.py | pdf_logic.py | py | 1,819 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.db.models.Q",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.db.models.Q",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.utils.... |
4254437724 | from sklearn.decomposition import FastICA
import numpy
import matplotlib.pyplot as plt
import time
from scipy.io import wavfile
from Processor import Processor
from sklearn import preprocessing
class ICA:
def __init__(self, mixed_sig, no_of_components):
self.mixed_signal = mixed_sig
se... | sarmientoj24/ICA | ICA.py | ICA.py | py | 3,910 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.decomposition.FastICA",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.decomposition.FastICA",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": ... |
40837765126 | import os
import tarfile
from six.moves import urllib
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model im... | lewiis252/pythonProject4 | cal_hous.py | cal_hous.py | py | 2,609 | python | en | code | 0 | github-code | 36 | [
{
"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.isdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
25587181346 | import torch
from tqdm import tqdm, trange
from utils_squad_evaluate import EVAL_OPTS, main as evaluate_on_squad, plot_pr_curve
from utils_squad import (read_squad_examples, convert_examples_to_features,
RawResult, write_predictions,
RawResultExtended, write_predictions... | markjluo/DL-Project-A-Deep-Learning-Based-Chatbot | evaluate.py | evaluate.py | py | 2,255 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "tqdm.tqdm",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.no_grad",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "utils_squad.RawResult",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "utils_squad.write_predi... |
25282953204 | # -*- coding: utf-8 -*-
import requests
from bs4 import BeautifulSoup
def main():
#--- 取得URLの決定
url = 'https://github.com/librariapj'
#--- requestsでdom取得
response = requests.get(url)
#--- 取得結果の表示
print(response)
# print(response.text)
#--- BS4に取得内容を格納
soup = BeautifulSoup(response.c... | librariapj/SampleProject | src/hello.py | hello.py | py | 535 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "call"
}
] |
13861490174 | from django.core.paginator import Paginator
import plotly.graph_objects as go
from django.shortcuts import render
from django.contrib import messages
import matplotlib.dates as mdates
from .api_calls import (
fetch_coins,
fetch_market_charts,
fetch_coin_details,
fetch_order_book,
fetch_coi... | LazyCiao/Performance-Pulse | crypto_pulse/views.py | views.py | py | 10,994 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.use",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "api_calls.fetch_coins",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "api_calls.API_BASE_URL",
"line_number": 34,
"usage_type": "argument"
},
{
"api_name": "api_c... |
28671672532 | import pandas as pd
import numpy
import os
import sys
import csv
import logging
import psycopg2
from psycopg2.extensions import register_adapter, AsIs
from cloudharness import applications
def addapt_numpy_int64(numpy_int64):
return AsIs(numpy_int64)
register_adapter(numpy.int64, addapt_numpy_int64)
app = app... | MetaCell/asu-olfactory | applications/pub-chem-index/tasks/ingestion/populate_parallel.py | populate_parallel.py | py | 5,809 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "psycopg2.extensions.AsIs",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "psycopg2.extensions.register_adapter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.int64",
"line_number": 17,
"usage_type": "attribute"
},
{
"ap... |
19453685544 | # -*- coding: utf-8 -*-
"""
Jianyu Chen
This is a project for optimal control.
Python code for 1-dim double well system
"""
#%%
import torch
from torch import nn
from torch.nn import functional as F
import math
import numpy as np
import matplotlib.pyplot as plt
#%%
t = np.arange(100) * 0.01
print(t)
sigma = 1
#%%
u= n... | Cecilia-ChenJY/PMP-for-Optimal-Control | double_well.py | double_well.py | py | 4,448 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.arange",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
... |
6530887784 | # FLASK: location API functions
from flask import Flask, jsonify, request
import pymysql
from __main__ import app
from helpers.location import *
from db_connect.db_connection import connect
# Open database connection
db = connect()
cursor = db.cursor()
# New payment or get payments to a tutor
@app.route("/location... | judgyknowitall/DataBaseProject | venvProject/apis/location_route.py | location_route.py | py | 897 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "db_connect.db_connection.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 20,
"usage_type": "attribute"
},
{
"a... |
10858226319 | import uvicorn
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from sockets import sio_app
app = FastAPI()
app.mount('/', app=sio_app)
app.add_middleware(
CORSMiddleware,
allow_origins=['*'],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
@app.... | jrdeveloper124/socketio-app | server/main.py | main.py | py | 468 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sockets.sio_app",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "fastapi.middleware.cors.CORSMiddleware",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name... |
37949950597 | #!/usr/bin/python3
"""This module defines the class Place that inherits from class BaseModel"""
from models.base_model import BaseModel, Base
from sqlalchemy import Column, String, Integer, Float, ForeignKey
from sqlalchemy.orm import relationship
from sqlalchemy.sql.schema import Table
import os
if os.getenv('HBNB_... | Chiemelie10/AirBnB_Practice_v2 | models/place.py | place.py | py | 3,794 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.sql.schema.Table",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.base_model.Base.metadata",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_na... |
22354032685 | import pathlib
import typing
import sqlalchemy.orm
from fastapi import Depends
import mlrun.common.schemas.model_monitoring
import mlrun.common.schemas.model_monitoring.constants as mm_constants
import mlrun.model_monitoring.stream_processing
import mlrun.model_monitoring.tracking_policy
import server.api.api.endpoin... | mlrun/mlrun | server/api/crud/model_monitoring/deployment.py | deployment.py | py | 35,326 | python | en | code | 1,129 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "mlrun.common.schemas.model_monitoring.mlconf",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "mlrun.common.schemas.model_monitoring",
"line_number": 40,
"usage_type": "... |
29147272703 | # TODO
# urrlib <-> requests
import requests
from .http_helper import TwitterHttpHelper as HttpHelper
from urllib.parse import quote
from orderedset import OrderedSet
from lxml.html import document_fromstring
from lxml.etree import tostring, ParserError
import time
import re
class CircularOrderedSet(OrderedSet):
... | labteral/bluebird | bluebird/scraper.py | scraper.py | py | 20,410 | python | en | code | 45 | github-code | 36 | [
{
"api_name": "orderedset.OrderedSet",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_nu... |
26765982477 | import requests
from flask import Flask, render_template, request, redirect, url_for, flash
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config['DEBUG'] = True
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///weather.db'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
app.config['SECRET_KE... | thenileshunde/weatherly | app.py | app.py | py | 2,509 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "flask.render_temp... |
34848563515 | """1.1 Implement an algorithm to determine if a string has all unique
characters. What if you cannot use additional data structures?"""
def is_unique(input_string):
"""determines if a string has all unique characters"""
from collections import Counter
counter = Counter(input_string)
for char, values ... | stonecharioteer/blog | source/code/books/ctci/01_arrays_and_strings/ex_1x1_unique.py | ex_1x1_unique.py | py | 1,001 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "collections.Counter",
"line_number": 9,
"usage_type": "call"
}
] |
6762090600 | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import math
# Importing the dataset
dataset = pd.read_csv('Ads_CTR_Optimisation.csv')
#Implementing the UCB(from scratch.!!)
#we need to consider this number for each ad i. We're going to create a vector that will contain each of those memb... | raja17021998/Exciting-Machine-Learning-Journey-on-Python-and-R | Part 6 - Reinforcement Learning/Section 32 - Upper Confidence Bound (UCB)/UCB/upper_confidence_bound_wd.py | upper_confidence_bound_wd.py | py | 1,845 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.hist",
"line_... |
5487070944 | # from ADBInterface import
from Common import CommonFunction, AssertResult, ADBCommand, DealAlert
from Common.Log import MyLog, OutPutText
import re
from Conf.Config import Config
from ADBInterface import simplify_interface_code
from ADBInterface.Qualcomm import QualcommChip
import time
import datetime
meta_alert = De... | wmm98/Telpo_TPS469_Automation | ADBInterface/Qualcomm/Android_Versions/Qualcomm_Android_11.py | Qualcomm_Android_11.py | py | 7,148 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "Common.DealAlert.AlertData",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Common.DealAlert",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "Common.Log.MyLog",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "Common.L... |
23992990502 | '''
286. Walls and Gates
https://leetcode.com/problems/walls-and-gates/
'''
from typing import List
from collections import deque
# The key is to recognize that if we search from gates to empty rooms
# We are guaranteed to find the shortest path by using BFS
class Solution:
def wallsAndGates(self, rooms: List[Lis... | asset311/leetcode | bfs/walls_and_gates.py | walls_and_gates.py | py | 1,621 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 34,
"usage_type": "call"
}
] |
23843055382 | from django.urls import path
from .views import Frontpage, Shop, Signup, Login, MyAccount, EditMyAccount
from product.views import ProductDetailView
from django.contrib.auth.views import LogoutView
urlpatterns = [
path('', Frontpage.as_view(), name='frontpage'),
path('signup/', Signup.as_view(), name='signup'... | DenisVasil/Django-Tailwind-Shop | core/urls.py | urls.py | py | 774 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.Frontpage.as_view",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.Frontpage",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.urls.pat... |
74362482985 | from group_class import FacebookGroups
from scraper import scrape
from db_handler import init_mongo
from datetime import datetime
from rich import print
import config
import time
import random
import os
import sys
# Sleep for the desired time and restart for the sake of establishing new requests session
def sleep_and... | itamark87/Project-Ekron | main.py | main.py | py | 2,648 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.sleep",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.execl",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.executable",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number":... |
13069484239 |
import os
import numpy as np
from PIL import Image, ImageDraw, ImageFont
from scipy.ndimage import label
from config import cfg
import labels
def benchmark_vis(iou_ar, fn):
pred_pgt_ar = np.zeros_like(iou_ar)
structure = np.ones((3, 3), dtype=int)
segment_ar = label(iou_ar, structure)[0]
for idx in... | mrcoee/Automatic-Label-Error-Detection | src/visualization.py | visualization.py | py | 4,667 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.zeros_like",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.label",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"l... |
7244240814 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
# Dependencies
import os
import pandas as pd
from splinter import Browser
from bs4 import BeautifulSoup
from webdriver_manager.chrome import ChromeDriverManager
# In[2]:
def init_browser():
#set the chromedriver path
executable_path = {"executable_path": "chr... | mshi2/web-scraping-challenge | Missions_to_Mars/scrape_mars.py | scrape_mars.py | py | 3,178 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "splinter.Browser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "splinter.Browser",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup... |
30323488487 | """GLOBIO InVEST Model"""
import os
import logging
import gdal
import osr
import numpy
import pygeoprocessing
logging.basicConfig(format='%(asctime)s %(name)-20s %(levelname)-8s \
%(message)s', level=logging.DEBUG, datefmt='%m/%d/%Y %H:%M:%S ')
LOGGER = logging.getLogger('invest_natcap.globio.globio')
... | natcap/invest-natcap.invest-3 | invest_natcap/globio/globio.py | globio.py | py | 23,365 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygeoprocess... |
74157719464 | from torch import nn
class AE_Deconv(nn.Module):
def __init__(self, input_dim: int = 63, latent_dim: int = 16):
super().__init__()
assert latent_dim < 32
self.encoder = nn.Sequential(
nn.Linear(input_dim, 32),
nn.BatchNorm1d(32),
nn.ReLU(True),
... | DanBigioi/Sign2Speech | src/models/components/autoencoder.py | autoencoder.py | py | 2,475 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
22349295595 | import sys
import os
from npbgpp.npbgplusplus.modeling.refiner.unet import RefinerUNet
from pytorch3d.io import load_obj, load_ply, save_obj
import cv2
import numpy as np
import pickle
import torch
import torch.nn as nn
import torch.nn.functional as F
import trimesh
import yaml
from .quad_rasterizer import QuadRaste... | SamsungLabs/NeuralHaircut | src/hair_networks/strands_renderer.py | strands_renderer.py | py | 6,865 | python | en | code | 453 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "pytorch3d.io.load_obj",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pytorch3d.io.load... |
71919299305 | #!/usr/bin/python3
#-*- coding: utf-8 -*-
"""
The use case of this script is the following:
Put all movies (radarr) or series (sonarr) with a certain tag in a collection in plex
Requirements (python3 -m pip install [requirement]):
requests
Setup:
Fill the variables below firstly, then run the script with -h to see ... | Casvt/Plex-scripts | sonarr/tag_to_collection.py | tag_to_collection.py | py | 6,013 | python | en | code | 285 | github-code | 36 | [
{
"api_name": "os.getenv",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 35,
... |
38093193093 | import typing
import pytest
from forml import project
from forml.io import dsl, layout
from forml.io._input import extract
class TestSlicer:
"""Slicer unit tests."""
@staticmethod
@pytest.fixture(scope='session')
def features(project_components: project.Components) -> typing.Sequence[dsl.Feature]:
... | formlio/forml | tests/io/_input/test_extract.py | test_extract.py | py | 2,136 | python | en | code | 103 | github-code | 36 | [
{
"api_name": "forml.project.Components",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "forml.project",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing.Seq... |
30381880481 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 30 09:32:26 2018
@author: jon
"""
import cmath
import math
import numpy as np
import matplotlib.pyplot as plt
from pynufft import NUFFT_cpu
def expectedIFT(img, X, u, v):
N = img.shape[0]//2
for x in range (-N, N):
for y in range... | lord-blueberry/p8-pipeline | sandbox/first_runs/pynufft/BUG.py | BUG.py | py | 915 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cmath.exp",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.complex128",
"line_numbe... |
28959351830 | from cfg import constants
import torch
import numpy as np
import trimesh
import pyrender
import cv2
import os
def render_smpl(vertices, faces, image, intrinsics, pose, transl,
alpha=1.0, filename='render_sample.png'):
img_size = image.shape[-2]
material = pyrender.MetallicRoughnessMateri... | yohanshin/Pseudo-SMPL-GT | utils/visualization.py | visualization.py | py | 3,955 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pyrender.MetallicRoughnessMaterial",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "trimesh.Trimesh",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "trimesh.transformations.rotation_matrix",
"line_number": 28,
"usage_type": "call"
},... |
11038838210 | #!/usr/bin/env python
# coding: utf-8
# # Filter #1: Broken Frame 🔨
# My broken_frame() function creates a fractured effect in the image below that I liken in appearance to the Distorted Glass filter in Photoshop.
import PIL.ImageOps
from PIL import Image
def broken_frame(image):
length = image.size[1]
... | mars-aria/vfx-filters | broken-frame filter/broken-frame_filter.py | broken-frame_filter.py | py | 677 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PIL.Image.open",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 20,
"usage_type": "name"
}
] |
41674825810 | '''
--- Changes for this version ---
- change to save in txt format, as saved format no longer a valid json format
- removed the open and end line, only take tweet object
'''
# used material: workshop solution from past course in UniMelb (COMP20008): https://edstem.org/au/courses/9158/lessons/25867/slides/185032/solut... | Juaneag/COMP90024-Assignment2-Team39 | twitter/preprocess.py | preprocess.py | py | 5,927 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nltk.download",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "nltk.stem.porter.PorterStemmer",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "nltk.corpu... |
23480037190 | from typing import List
class Solution:
def combinationSum(candidates: List[int], target: int) -> List[List[int]]:
answer = []
# 주어진 target에 candidates로 주어진 원소들을 빼나가면서 0이 나오면 정답에 추가하는 식으로 로직 구현
# 원소들의 조합의 합이 target이 되는지를 판단해야 하기 때문에 dfs를 이용
def dfs(cur_sum, cur_index, sub_answer):... | raddaslul/basic_algoritm | hikers/combination_sum.py | combination_sum.py | py | 1,231 | python | ko | code | 0 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
11737753941 | import pandas as pd
import numpy as np
from rdkit import Chem
# 1. sdfファイルの名前を指定
# ex. ChemCupid_Namiki.sdf
filename = 'ChemCupid_Namiki'
# -----------------------------------------
def main():
mols = [mol for mol in Chem.SDMolSupplier(
f'{filename}.sdf') if mol is not None]
smiles = [Chem.MolToSmil... | yuito118/share-chemo | sdfToSmiles.py | sdfToSmiles.py | py | 488 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rdkit.Chem.SDMolSupplier",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "rdkit.Chem",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "rdkit.Chem.MolToSmiles",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "rdkit.Chem... |
30097509663 | """Script for demonstrating polynomial regression.
Data obtained from: https://www.kaggle.com/karthickveerakumar/salary-data-simple-linear-regression
"""
import csv
import numpy as np
import matplotlib.pyplot as plt
NUM_ITERS = 250
ALPHA = 0.01
def main():
X, y = load_data()
X, stds = scale_features(X)
... | JhihYangWu/ML-Practice | 03 Polynomial Regression/polynomial_regression.py | polynomial_regression.py | py | 2,912 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "numpy.zeros",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "csv.reader",
... |
7047886953 | import base64
import json
import boto3
import uuid
from botocore.client import Config
def lambda_handler(event, context):
config = Config(connect_timeout=15, retries={'max_attempts': 3})
sqs = boto3.resource('sqs', config=config)
queue = sqs.get_queue_by_name(
QueueName='eks-notification-canada-c... | cds-snc/notification-lambdas | sesemailcallbacks/ses_to_sqs_email_callbacks.py | ses_to_sqs_email_callbacks.py | py | 1,971 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "botocore.client.Config",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "boto3.resource",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
... |
71508824103 | from wsgiref import simple_server
from flask import Flask, request, render_template,url_for, app
from flask import Response
from flask_cors import CORS, cross_origin
from logistic_deploy import predObj
import os
import json
app = Flask(__name__)
CORS(app)
app.config['DEBUG'] = True
class ClientApi:
def __ini... | amitranjasahoo12/logistics-regression | app.py | app.py | py | 2,548 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.app",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.app",
"line_number": ... |
2954317677 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# Python標準ライブラリ
import cv2
from cv_bridge import CvBridge, CvBridgeError
# Python追加ライブラリ
import mediapipe as mp
# ROSに関するライブラリ
import rospy
from sensor_msgs.msg import CompressedImage
class HandDetection():
def __init__(self):
# MediaPipeが提供しているhandsの値を読み込... | Shoichi-Hasegawa0628/mediapipe_ros | src/main_ros.py | main_ros.py | py | 2,503 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "mediapipe.solutions",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "mediapipe.solutions",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "cv_bridge.CvBridge",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "... |
31916197135 | #!/usr/bin/env python
# coding: utf-8
# # Technical test results for HEVA company
# This notebook repeats the statement of the test. Under each activity you will find the code and the result produced.
# You will find all the requirements to run this notebook in the requirements.md file.
# ## Configuration
# ### 1. ... | mdavid674/TEST_HEVA | main/result.py | result.py | py | 14,008 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.stdout",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession.builder.config",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 72,
"usage_type": "attribute"
... |
69903435304 | #!/usr/bin/env python
#
# A script that check fulltextsearch queue in nextcloud
# This works only for Postgres Backend
#
#
# Main Author
# - Filip Krahl <filip.krahl@t-systems.com>
#
# USAGE
#
# See README.md
#
from optparse import OptionParser
import sys
import time
import re
import os
import numbers
try:
im... | FLiPp3r90/nextcloud_fulltextsearch_pg | nextcloud_fulltextsearch_pg.py | nextcloud_fulltextsearch_pg.py | py | 5,947 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.exit",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numbers.Real",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 59,... |
74768118503 | from django.http import HttpRequest
from djaveAllowed.models import Allowed
from djaveAllowed.credentials import UserCredentials
from djaveAPI.get_instance import get_instance
from djaveAPI.problem import Problem
from djaveClassMagic.find_models import model_from_name
def get_request_ajax_obj(request, model=None, pk=... | dasmith2/djaveAPI | djaveAPI/get_request_variable.py | get_request_variable.py | py | 2,142 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "djaveClassMagic.find_models.model_from_name",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "djaveAllowed.models.Allowed",
"line_number": 29,
"usage_type": "argument"
},
{
"api_name": "djaveAllowed.credentials.UserCredentials",
"line_number": 30,
... |
43911039109 | import numpy as n
import matplotlib.pyplot as plt
v0 = float(input("Podaj V0: "))
katpierwszy = float(input("Podaj kat: ")) * n.pi / 180
kat = katpierwszy* n.pi / 180
time = 2 * v0 * n.sin(kat) / 9.81
hmax = v0**2 * n.sin(kat)**2 / (2 * 9.81)
zasieg = 2 * v0**2 * n.sin(kat)**2 / 9.81
punkty = 100
t = n.lin... | AWyszynska/JSP2022 | lista9/zadanie3.py | zadanie3.py | py | 796 | python | pl | code | 0 | github-code | 36 | [
{
"api_name": "numpy.pi",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 9,
... |
506102860 | """
Split Raster's into tiles
"""
import os
from osgeo import gdal
def nrsts_fm_rst(rst, rows, cols, out_fld, bname):
"""
Split raster into several rasters
The number of new rasters will be determined by the extent of the
raster and the maximum number of rows and cols that the new
rasters could... | jasp382/glass | glass/dtt/rst/split.py | split.py | py | 3,146 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "osgeo.gdal.Open",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "osgeo.gdal",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "osgeo.gdal.GA_ReadOnly",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "glass.prop.img... |
36050038659 | from typing import Optional
from tornado.template import Loader
from web.controllers.utils.errors import handle_errors
from web.controllers.utils.validated import ValidatedFormRequestHandler
from web.schemas import template_schema
from web.services.email.abstract import AbstractEmailService
from web.validation import... | MFrackowiak/sc_r_mailmarketing | web/controllers/template.py | template.py | py | 2,346 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "web.controllers.utils.validated.ValidatedFormRequestHandler",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "tornado.template.Loader",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "web.services.email.abstract.AbstractEmailService",
"line_... |
2623856397 | import discord
import logging
import os
from discord.ext import commands
logger = logging.getLogger('serverlinker')
logger.setLevel(logging.DEBUG)
handler = logging.StreamHandler()
handler.setFormatter(logging.Formatter('%(asctime)s:%(levelname)s:%(name)s: %(message)s'))
logger.addHandler(handler)
initial_extensions... | Kelwing/DiscordLinkerBot | main.py | main.py | py | 1,599 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.Forma... |
72597561384 | from torch import nn
import torch
class OrderPredictor(nn.Module):
def __init__(self, model_dim):
super().__init__()
self.disc_linear = nn.ModuleList([
nn.Linear(2 * model_dim, model_dim) for _ in range(3)
])
self.final_linear = nn.Linear(3 * model_dim, 6)
def forw... | AwalkZY/CPN | model/sub_modules/auxiliary.py | auxiliary.py | py | 937 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.ModuleList",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
18315390523 | # This script does the following:
#
# 1. Steps through all of the shapefiles associated with the aerial photos and
# determines whether the shapefile falls entirely within in the fjord. Photos
# that don't fall entirely within the fjord are excluded from analysis. A file
# titled 'input_files.npy' is created that conta... | ojiving/iceberg_segmentation | s1_image_segmentation_parallel_with_shapefiles.py | s1_image_segmentation_parallel_with_shapefiles.py | py | 6,975 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.ioff",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "os.path.basename",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
3866986259 | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 16 20:47:36 2020
@author: mixmp
"""
import random
import math
import numpy as np
import mpmath
def nearest_neighbour_for_TPS(path):
###################function for reading the tps document########################33
def read_tps(path):
with ... | michaelampalkoudi/Master-projects | HW_9_Computational_optimization.py | HW_9_Computational_optimization.py | py | 8,857 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.zeros",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 88,
... |
73157455464 | """ Test tifffile plugin functionality.
"""
import datetime
import io
import warnings
from copy import deepcopy
import numpy as np
import pytest
from conftest import deprecated_test
import imageio.v2 as iio
import imageio.v3 as iio3
from imageio.config import known_extensions, known_plugins
tifffile = pytest.import... | imageio/imageio | tests/test_tifffile.py | test_tifffile.py | py | 11,873 | python | en | code | 1,339 | github-code | 36 | [
{
"api_name": "pytest.importorskip",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "imageio.config.known_plugins.copy",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "imageio.config.known_plugins",
"line_number": 23,
"usage_type": "name"
},
{
... |
43328947226 | from bs4 import BeautifulSoup
#from requests import Session as R
import requests as R
import time
import random
import os
import json
from fake_useragent import UserAgent
from stem import Signal
from stem.control import Controller
from selenium import webdriver
from selenium.webdriver.firefox.options import Options
fro... | naturalkind/simpleparsing | build_parse_drive2/dr4_1.py | dr4_1.py | py | 9,278 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.walk",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 5... |
1952962326 | from multiprocessing import Process,Queue,Pipe
from slave import serialize
import time
def timer(*args, f=None):
before = time.time()
f(*args)
after = time.time()
return after - before
big_str = ' '.join(['abcdeftghijklmnopq\n' for y in range(1000000)]) + ' '
print(len(big_str))
parent_conn,child_... | brokenpath/generator | master.py | master.py | py | 484 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pipe",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
... |
36189547346 | from concurrent.futures.thread import ThreadPoolExecutor
import requests
# url = "http://www.eversunshine.cn/"
# url = "https://static-4c89007f-af34-418a-909e-be456bf03b70.bspapp.com/#/"
# url = "https://www.baidu.com/"
def DOS():
# resp = requests.get(url, timeout=3)
# print(resp.text)
# print(data)
... | wuheyouzi/code | PycharmProjects/dos/main.py | main.py | py | 495 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "concurrent.futures.thread.ThreadPoolExecutor",
"line_number": 19,
"usage_type": "call"
}
] |
12780519052 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
from core.modules import RNNCell, SequenceWise, ConvLayer
def im2col(x, K, P):
N, C, H, W = x.shape
L = N * H * W
CK2 = C * K ** ... | etienne87/torch_object_rnn | core/convs/plastic_conv.py | plastic_conv.py | py | 4,185 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "torch.nn.functional.unfold",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch.bmm",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.bmm",
... |
9747404267 | # Author: Ranjodh Singh
import requests
from bs4 import BeautifulSoup as bs
import os
url = "http://www.thehindu.com/archive/"
html = requests.get(url)
soup = bs(html.__dict__['_content'], "html5lib")
container = soup.select("#archiveTodayContainer")
for link in container[0].find_all("a"):
resp = requests.get(li... | singhranjodh/the-hindu-archive-scraper | script.py | script.py | py | 1,304 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"li... |
25717533361 | from typing import Type, TypeVar, MutableMapping, Any, Iterable
from datapipelines import (
DataSource,
PipelineContext,
Query,
NotFoundError,
validate_query,
)
from .common import RiotAPIService, APINotFoundError
from ...data import Platform, Region
from ...dto.staticdata.version import VersionLis... | meraki-analytics/cassiopeia | cassiopeia/datastores/riotapi/spectator.py | spectator.py | py | 3,558 | python | en | code | 522 | github-code | 36 | [
{
"api_name": "typing.TypeVar",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "typing.MutableMapping",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "datapipelines.Pipelin... |
35940617435 | # -*- coding: utf-8 -*-
"""
Created on Thu Jul 30 16:21:28 2018
@author: bob.lee
"""
from src.model_test import image_cnn
from PIL import Image
import sys
def image_main(image_name):
image = Image.open(image_name)
image = image.flatten() / 255
predict_text = image_cnn(image)
return pre... | lidunwei12/Verification_code | main.py | main.py | py | 420 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "PIL.Image.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "src.model_test.image_cnn",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"lin... |
34717450162 | from bottle import route
from bottle import run
from bottle import request
from bottle import HTTPError
import album
@route("/albums/<artist>")
def albums(artist):
""" в переменную albums_list записываем таблицу найденных альбомов
для этого обращаемся к функции find(), которую мы написали
в модуле ... | zpa1986/-zpa1986-skillfactory-module-11-zaykin_B6-Practice | album_server.py | album_server.py | py | 1,730 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "album.find",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bottle.HTTPError",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "album.album",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "bottle.route",
"line... |
30874171906 | import argparse
import os
import time
import gym
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
from PPO import PPO
from unity_wrapper_zzy import UnityWrapper
parser = argparse.ArgumentParser(description='Train or test neural net motor controller.')
parser.add_argument('--train', dest='trai... | TreeletZhang/CarVerification | main.py | main.py | py | 7,123 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "unity_wrapper_zzy.U... |
31414356277 | """Module test user information reource."""
import json
from unittest import mock
from flask import Response
from .base_test import BaseTestCase, Center, Cohort, Society
from api.utils.marshmallow_schemas import basic_info_schema
def info_mock(status_code, society=None, location=None, cohort=None, data=None):
"... | andela/andela-societies-backend | src/tests/test_user_information.py | test_user_information.py | py | 7,480 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "flask.Response",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "base_test.BaseTestCase",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "base_test.BaseTestCase.setUp",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "ba... |
20593599782 | # coding:utf-8
"""
Create by Wangmeng Song
July 21,2017
"""
import shapefile as sf
from shapely.geometry import Polygon, Point
import os
import inspect
import numpy as np
import json
filedir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe()))) + "/" + "area"
pingchearea = u'pincheArea.dbf' # 拼... | Octoberr/Auto_Schedule | recomTimeOnTheBus/eastandwestside.py | eastandwestside.py | py | 7,983 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "inspect.getfile",
"l... |
71245259624 | # -*- coding: utf-8 -*-
# pylint: disable-msg=W0403,W0603,C0111,C0103,W0142,C0301
""" partialy stolen from python locale tests ;)
requires nose (easy_install nose)
nosetests -v --with-coverage --cover-package=localization test_localization.py
"""
from django.conf import settings
settings.configure(DEBUG=True,
... | shula/citytree | contrib/nesh/localization/test_localization.py | test_localization.py | py | 7,157 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "django.conf.settings.configure",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.settings",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "locale.setlocale",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "lo... |
32967621302 | from arcana_app.models import Truck
from twilio.rest import Client
from datetime import date, timedelta
def my_scheduled_job():
'''
Background task with interval set in settings. Function send SMS when is information that MOT expires.
Function sends message one time when 20 days left to mot expiration.
... | KamilNurzynski/Arcana | arcana_app/cron.py | cron.py | py | 848 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "arcana_app.models.Truck.objects.all",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "arcana_app.models.Truck.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "arcana_app.models.Truck",
"line_number": 12,
"usage_type": "name... |
26009605425 | import datetime
import os
import subprocess
import time
import dimacs
start = time.time()
solved = 0
hardest = {}
try:
for file in dimacs.satlib_problems:
file = os.path.join("C:\\satlib", file)
print(file)
dimacs.print_header(file)
expected = dimacs.get_expected(file)
cm... | russellw/ayane | script/batch_dimacs.py | batch_dimacs.py | py | 1,303 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dimacs.satlib_problems",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line... |
29752162238 | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 23 02:22:23 2018
@author: RAJAT
"""
import numpy as np
from time import time
from keras.models import Sequential
from keras.layers import Dense, Dropout , Activation,Flatten,Convolution2D, MaxPooling2D ,AveragePooling2D
from keras.callbacks import TensorBoard
... | rajatkb/STU-NET-Stupid-Neural-Net | edition 1 CNN= = = softmax/model.py | model.py | py | 3,722 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
34455433400 | # -*- coding: utf8 -*-
from django.contrib import admin
from models_app.models import Document
@admin.register(Document)
class DocumentAdmin(admin.ModelAdmin):
list_display = [
'id',
'name',
'file',
'position',
'task',
]
list_display_links = (
'id',
... | Aplles/project_tracker | models_app/admin/document/resources.py | resources.py | py | 472 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 6,
"usage_type": "call"
},
{
... |
32226927177 | import streamlit as st
import requests
import json
from dbnomics import fetch_series
import pandas as pd
from pandas.api.types import (
is_categorical_dtype,
is_datetime64_any_dtype,
is_numeric_dtype,
)
import altair as alt
st.set_page_config(page_title="DB Nomics Marco Data Vizualizer", layout="wide")
s... | Silvan-Fischer/MacroDataViz | MarcoDataViz.py | MarcoDataViz.py | py | 8,039 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "streamlit.session_state",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "j... |
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