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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
41434414625 | import json
from django.http import HttpResponse
from django.utils import timezone
from .models import Gateway_task, TaskRecord
from gateway.models import GatewayBase
# Create your views here.
def get_all(request):
all_task = Gateway_task.objects.all()
result = []
for i in all_task:
result.appen... | dragonxu/IoT_device_client | backend/task/views.py | views.py | py | 6,225 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "models.Gateway_task.objects.all",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.Gateway_task.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "models.Gateway_task",
"line_number": 12,
"usage_type": "name"
},
{
... |
20114392091 |
import pandas as pd
from typing import Dict, List, Union
from sklearn.utils import compute_class_weight
from torch import Tensor
from fast_tabnet.core import TabNetModel
from fastai.optimizer import Optimizer
from fastai.tabular.all import (
# data utility
get_emb_sz, TabularPandas, CategoryBlock, Categorify, ... | erudic/mt-tabnet-xgboost-model-comparison | model_trainer/tabnet/tabnet_trainer.py | tabnet_trainer.py | py | 3,588 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.Dict",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "fastai.optimizer.Optimizer",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "fastai.tabular.all... |
43893354391 | from functools import partial
from hamcrest import (
assert_that,
contains_exactly,
contains_inanyorder,
empty,
equal_to,
has_entries,
has_item,
has_entry,
is_,
)
from wazo_test_helpers import until
from wazo_test_helpers.hamcrest.uuid_ import uuid_
from .helpers import fixtures, bas... | wazo-platform/wazo-auth | integration_tests/suite/test_tenants.py | test_tenants.py | py | 22,502 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "helpers.base.APIIntegrationTest",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "helpers.base",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "hamcrest.assert_that",
"line_number": 61,
"usage_type": "call"
},
{
"api_name":... |
19767433204 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 14 11:08:04 2020
@author: moritz
"""
import aioredis
import json
import time
import iobcore.object_utils as utils
import re
class ObjectsDB:
def __init__(self, port:int=6379, namespace:str='cfg'):
self.port = port
self.obj... | foxriver76/ioBroker.adapter-core-py | iobcore/objects.py | objects.py | py | 4,511 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "aioredis.create_redis",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "aioredis.create_redis",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "aioredis.pubsub.Receiver",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "... |
20595635609 | from fourparts.commons.Orbit import Orbit
import pytest
def test_cases():
orbit_1 = [1, 2, 3]
orbit_2 = ("X", "Y", "Z", "T")
return [
([1], 0, [1]),
(orbit_1, 0, [1, 2, 3]),
(orbit_1, 1, [2, 3, 1]),
(orbit_2, 3, ["T", "X", "Y", "Z"]),
]
@pytest.mark.parametrize("orbi... | ruixuantan/FourParts | tests/test_commons/test_Orbit/test_get_curr_orbit.py | test_get_curr_orbit.py | py | 454 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "fourparts.commons.Orbit.Orbit",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 17,
"usage_type": "attribute"
}
] |
71712596214 | import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.linear_model import LogisticRegression
from sklearn.svm import SVC
from sklearn.metrics import confusion_matrix, classification_report
from sklearn.ensemble import RandomForestClassifier
from sklearn.ensemble import GradientBoo... | l3eniy/CIS_text_classification | blackbox.py | blackbox.py | py | 5,516 | python | de | code | 2 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 35,
"usage_type": "call"
},
... |
73582610931 | from ppo import plugins
from io import StringIO, BytesIO
import yaml
import re
import six
import traceback
import codecs
class YAMLParser(plugins.ParserPlugin):
"""
I parse YAML
"""
name = 'yaml'
def readProbability(self, instream):
lines = []
for i in range(5):
line... | iffy/ppo | ppo/parse_plugins/yaml_plugin.py | yaml_plugin.py | py | 1,653 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "ppo.plugins.ParserPlugin",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "ppo.plugins",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "yaml.safe_load",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "io.BytesIO",... |
27178522990 | from flask import Flask, request, jsonify, abort, url_for
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///foodnow.sqlite3'
db = SQLAlchemy(app)
class Food(db.Model):
id = db.Column('id', db.Integer, primary_key = True)
name = db.Column(db.Stri... | phatthinh2010/foodnow | app_food.py | app_food.py | py | 4,735 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.url_for",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "flask.url_for",
... |
1561117597 | from flask import Blueprint, jsonify, request
from app.models import user
api = Blueprint('user',
__name__,
url_prefix='/api/user')
@api.route('')
def get_all():
data = user.get()
return jsonify(data), 200
@api.route('/<id>')
def get_by_id(id):
data = user.get(id)
if len(... | yunkai1841/coaching-web-app | app/apis/user.py | user.py | py | 570 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "app.models.user.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "app.models.user",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask.jsonify",
... |
26428978615 | # 220830 2458 키 순서
import sys
from collections import deque
def bfs(start):
global graphs, orders
queue = deque([start])
graphs[start][start] = 0
while queue:
now = queue.popleft()
for nxt in orders[now]:
if graphs[start][nxt] == -1 or graphs[start][nxt] > graphs[start][now]... | seho27060/aug-algo-study | 0830/2458_seho.py | 2458_seho.py | py | 932 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 16,
"usage_type": "attribute"
}
] |
36450592447 | import sys
from PyQt5.QtWidgets import QApplication, QMainWindow, QMenu, QVBoxLayout, QSizePolicy, QMessageBox, QWidget, QPushButton
from PyQt5.QtGui import *
from PyQt5.QtCore import *
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
from matplotl... | ssowders3/mini-mARVin | gui_interface.py | gui_interface.py | py | 3,916 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QPushButton",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg",
"line_number": 45,
"usage_... |
70742255093 | """
Hedging option with actor-critic AI model
"""
import gym
import gym_foo2
import numpy as np
from keras.models import Sequential, Model
from keras.layers import Dense, Dropout, Input, Reshape
from keras.layers.merge import Add, Multiply, concatenate
from keras.optimizers import Adam
import keras.backend as K
from k... | mtab3t/RL_optionhedging | RL_test3.py | RL_test3.py | py | 10,765 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "tensorflow.placeholder",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "tens... |
37049929913 | from gtts import gTTS
tts = gTTS(text="welcome to my website", lang='en')
tts.save("record.mp3")
print("Text Converted Successfully ")
import pyttsx3
engine = pyttsx3.init()
engine.say("welcome to geekscoders website ")
engine.setProperty('rate', 120)
engine.setProperty('volume', 0.9)
engine.runAndWait() | kevinaprilion/Tugas-Besar_Speech | index.py | index.py | py | 311 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "gtts.gTTS",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pyttsx3.init",
"line_number": 11,
"usage_type": "call"
}
] |
24198993006 | import numpy as np
import time
dict = {
0:
{"min":1,
"med":3,
"max":5},
1:
{"min":6,
"med":8,
"max":10},
2:
{"min":11,
"med":12,
"max":15},
3:
{"min":16,
"med":16,
"max":20},
}
... | DocEnd/Image_color_picker | testing.py | testing.py | py | 1,449 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 5... |
10844662684 | from collections import deque
from sys import stdin
v, m = map(int, stdin.readline().rstrip().split())
graph = [[] for _ in range(v + 1)]
visited = [0] * (v + 1)
for _ in range(m):
a, b = map(int, stdin.readline().rstrip().split())
graph[b].append(a)
def bfs(graph, node, visit_code):
visited[node] = visit_c... | K1A2/algorithm_python | baekjoon/bfs_dfs/1325_효율적인_해킹.py | 1325_효율적인_해킹.py | py | 813 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin.readline",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "sys.stdin.readline",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_nu... |
71833989174 | import sys
# sys.path.append('../')
sys.path.insert(0, '../')
import unittest
import numpy as np
import time
import pybullet as p
class Test_Continous_collision(unittest.TestCase):
@classmethod
def setUpClass(cls):
p.connect(p.DIRECT)
# p.connect(p.GUI)
p.setGravity(0, 0, -10)
... | k-maheshkumar/trajopt_python | tests/test_continous_collision.py | test_continous_collision.py | py | 16,145 | python | en | code | 25 | github-code | 21 | [
{
"api_name": "sys.path.insert",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pybullet.connect",... |
35883521791 | from typing import Optional, Callable, TypeVar
from osmium._osmium import SimpleHandler
from osmium.osm import Node, Way, Relation, Area, Changeset
T = TypeVar('T')
HandlerFunc = Optional[Callable[[T], None]]
def make_simple_handler(node: HandlerFunc[Node] = None,
way: HandlerFunc[Way] = Non... | osmcode/pyosmium | src/osmium/helper.py | helper.py | py | 1,372 | python | en | code | 274 | github-code | 21 | [
{
"api_name": "typing.TypeVar",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "osmium.osm.Node",
"li... |
375376536 | import clu.metrics
import clu.periodic_actions
import jax
import jax.numpy as jnp
from flax import struct
from jaxtyping import Array, Float, Int32, jaxtyped
@jaxtyped
@struct.dataclass
class F1Score(clu.metrics.Metric):
"""
Class F1Score
This class represents the F1 Score metric for evaluating classifica... | aaarrti/absl_extra | absl_extra/clu_utils.py | clu_utils.py | py | 3,216 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "clu.metrics.metrics",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "clu.metrics",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "jaxtyping.Float",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "jaxtyping.Array"... |
17070920628 | #!/usr/bin/env python3
import sys
import time
from . import FileDownloader
from ..utils import common, DownloadError, ContentTooShortError
class MGetDownloader(FileDownloader):
def __init__(self, urlObj, fileObj, info):
super(MGetDownloader, self).__init__(info)
self.info = info
self.urlObj = urlObj
self.fi... | RameshRavone/mget | Mget/downloader/http.py | http.py | py | 1,836 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "utils.common._stderr",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "utils.common",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "utils.common.report",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "utils.common",
... |
16523403401 | import csv
import sys
import importlib
importlib.reload(sys)
from pdfminer.pdfparser import PDFParser,PDFDocument
from pdfminer.pdfinterp import PDFResourceManager,PDFPageInterpreter
from pdfminer.converter import PDFPageAggregator
from pdfminer.layout import LTTextBoxHorizontal,LAParams
from pdfminer.pdfinte... | changhao2882/changhao0001 | django/untitled/文件的封装/dealFile.py | dealFile.py | py | 4,740 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "importlib.reload",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pdfminer.pdfparser.PDFParser",
... |
73029434293 | from cvxpy import *
from cvxpy.tests.base_test import BaseTest
import unittest
import numpy as np
import scipy.sparse as sp
class TestLS(BaseTest):
""" LS solver tests. """
def test_regression(self):
# Set the random seed to get consistent data
np.random.seed(1)
# Number of examples ... | LiuFang816/SALSTM_py_data | python/cvxgrp_cvxpy/cvxpy-master/cvxpy/tests/test_ls.py | test_ls.py | py | 4,937 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "cvxpy.tests.base_test.BaseTest",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.random.seed",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "num... |
42227173852 | # -*- coding: UTF-8 -*-
"""
===========
arr_scatter
===========
Script : arr_scatter.py
Author : Dan_Patterson@carleton.ca
Modified : 2019-03-07
Purpose:
--------
Sample scatterplot plotting, in 2D and 3D
Notes
-----
>>> print(plt.style.available)
>>> import matplotlib.pyplot.figure ... | Dan-Patterson/arraytools | arraytools/graphing/arr_scatter.py | arr_scatter.py | py | 6,693 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.ma.masked_print_option.set_display",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "numpy.ma",
"line_number": 51,
"usage_type": "attribute"
},
{
"api... |
8763070829 | import streamlit as st
import seaborn as sns
import matplotlib.pyplot as plt
st.subheader("Feature Selection")
fe_df = st.session_state.updated_df.copy()
st.write("#### Correlation Map")
st.write(fe_df.corr())
fig = plt.figure(figsize=(30,20))
sns.heatmap(fe_df.corr(), annot=True, vmin=-1, vmax=1, cmap = 'YlGnBu')
s... | muneeb-ds/clustering-sandbox | pages/4_FeatureEngineering.py | 4_FeatureEngineering.py | py | 1,197 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "streamlit.subheader",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "streamlit.session_state.updated_df.copy",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.session_state",
"line_number": 7,
"usage_type": "attribute"
},
{
... |
37147194930 | from django.urls import path
from django.views.generic import TemplateView
from mailing_service import views as custom_views
app_name = 'mailing_service'
urlpatterns = [
path('', TemplateView.as_view(template_name='index.html'), name='homepage'),
path('mailing-menu/', custom_views.MailingMenuView.as_view(), ... | Abramov0Alexandr/mailing_service_project | mailing_service/urls.py | urls.py | py | 1,816 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.views.generic.TemplateView.as_view",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.views.generic.TemplateView",
"line_number": 9,
"usage_type": "name"
},
... |
13773077463 | """Extract Genbank info"""
from Bio import SeqIO
def get_locus(genbank_file):
"""
The get_locus function takes a genbank file and returns the locus number of that record.
If there is only one record in the genbank file, it will return the possible_name.
If there are multiple records, it will return a ... | RdrigoE/insaflu_snakemake | workflow/scripts/extract_gb_info.py | extract_gb_info.py | py | 9,737 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "Bio.SeqIO.parse",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "Bio.SeqIO.parse",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"line_numbe... |
72625236852 | # Author: Lennart Seeger
# This file is based on a notebook created by Rishit Dagli and available at https://keras.io/examples/vision/nnclr/
# Please regard the additional license regulations of the original notebook authors.
#
# All changes and extensions are licensed under the Apache 2.0 license available at
# http:/... | lennartseeger/IFEfNNS | src/models/nnclr.py | nnclr.py | py | 10,911 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sys.path.insert",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "keras.models.Sequential",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "keras.models",
... |
36588342052 | # -*- encoding: utf-8 -*-
import folium
import pandas as pd
import json
import numpy
from dbfread import DBF
import csv
import webbrowser
category = "A0,A1,A2,A3,A4,A5,A6,A7,A8,A9,A10,A11,A12,A13,A14,A15,A16,A17,A18,A19,A20,A21,A22,A23,A24,A25,A26,A27,A28,A29,A30"
category = list(map(str, category.split(',')))
categor... | tw0226/Analysis_Seoul | visualization.py | visualization.py | py | 3,211 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dbfread.DBF",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "folium.Map",
"line_number"... |
8019692103 | alias_help = """
Dynamic alias creator for system Windows.
Features:
- execute program in fork, or in current command line
- custom static invoke arguments
Requirements:
- python
- folder with script in system PATH
EXAMPLES:
1) Register this script as new alias with name 'alias':
python {script}... | trzecieu/alias | alias.py | alias.py | py | 6,270 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.realpath",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
27421957321 | import cv2
import numpy as np
img_rgb = cv2.imread('img/crack2.bmp')
img = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
template = cv2.imread('img/template.bmp',0)
print(template.shape[::-1])
w, h = template.shape[::-1] | waranyadatong/InspectionMachine | shape.py | shape.py | py | 220 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_n... |
27848914035 | import numpy as np
from ..tools.listFiles import listFiles
from .readAvailability import readAvailability
import os
from .. import globs
def listAllAvailability(dateLim=[19950101,20041231]):
fpath = globs.dataPath + '/Availability'
_,fnames = listFiles(fpath,ReturnNames=True)
nf = fnames.size
out = []
... | mattkjames7/gmagfft | gmagfft/mags/listAllAvailability.py | listAllAvailability.py | py | 572 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tools.listFiles.listFiles",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "readAvailabil... |
1836116381 | import os, csv
from load_utils import spss_to_posix
from models import Mortgage
from decimal import Decimal
from django.contrib.gis.geos import Point
mortgage_file = '/mnt/ebs/data/repdata_mort_2012q4_Fellows.tsv'
def run(verbose = True):
load_mortgages(mortgage_file, verbose = verbose)
def load_mortgages(mortgage... | dssg/land-bank | web/landbank_data/file_import/load_mort.py | load_mort.py | py | 3,793 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "csv.reader",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.Mortgage.objects.count",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Mortgage.objects",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": ... |
10033498558 | from concurrent.futures import TimeoutError
from google.api_core.exceptions import AlreadyExists
from google.cloud import pubsub_v1
import json
import os
# Set environment variable
if "GOOGLE_APPLICATION_CREDENTIALS" not in os.environ:
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "project-credentials.json"
# Lo... | maskebe/iot | test_pubsub.py | test_pubsub.py | py | 2,025 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "google.cloud.pubsub_v1.subsc... |
39099422171 | from os.path import abspath
from pyspark.sql import SparkSession
from pyspark.sql import Row
warehouse_location = abspath('spark-warehouse')
spark = SparkSession \
.builder \
.appName("Python Spark SQL Hive integration example") \
.config("spark.sql.warehouse.dir", warehouse_location) \
.enableHiveSu... | igory1999/Spark | labs/4/hive.py | hive.py | py | 575 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 8,
"usage_type": "attribute"
}... |
31230687882 | import warnings
warnings.filterwarnings("ignore")
import models
import datas
import configs
import argparse
import torch
import torchvision
import torchvision.transforms as TF
import torch.optim as optim
import torch.nn as nn
import torch.nn.functional as F
import time
import os
from math import log10
import numpy as... | lyh-18/EQVI | interpolate_EQVI.py | interpolate_EQVI.py | py | 4,955 | python | en | code | 112 | github-code | 21 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "utils.config.Config.from_file",
"line_number": 34,
"usage_type": "call"
},
{
"api_... |
73557193971 | # HW2-Logistic Regression
import sys
import numpy as np
import pandas as pd
import csv
import matplotlib.pyplot as plt
### Parameters ###
RAWDATA_PATH = './dataset/train.csv'
OBSERVE_PATH = './dataset/test.csv'
SUBMISSION_PATH = './dataset/sample_submission.csv'
RAW_FEATURE_PATH = './dataset/X_train' # afte... | willyouyang/MachineLearningForPython | ML2019FALL/hw2-Classfication/LogisticRegression_v2.py | LogisticRegression_v2.py | py | 12,954 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 39,
... |
25434886517 | import numpy as np
import cv2
import gym
from copy import deepcopy
import torch
from torch._six import inf
def mean_of_list(func):
def function_wrapper(*args, **kwargs):
lists = func(*args, **kwargs)
return [sum(list) / len(list) for list in lists[:-4]] + [explained_variance(lists[-4], lists[-3])]... | alirezakazemipour/PPO-RND | Common/utils.py | utils.py | py | 6,842 | python | en | code | 35 | github-code | 21 | [
{
"api_name": "cv2.cvtColor",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_RGB2GRAY",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "cv2.resize",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_AREA",
... |
21292388730 | from django.test import TestCase
from django.contrib.auth import get_user_model
from socialapp import models;
class TestFriends(TestCase):
@classmethod
def setUpTestData(cls):
User = get_user_model();
cls.user1 = User.objects.create_user('user1', 'user1@user.com')
cls.user2 = User.objects.create_user('user2',... | Nessphoro/group-CMPUT404-project | src/backend/socialapp/tests/friends.py | friends.py | py | 3,158 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.test.TestCase",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "socialapp.models.Author.objects.create",
"line_number": 15,
"usage_type": "call"
... |
37905497951 | import torch
import torch.nn as nn
# Define the flow encoder
class FlowEncoder(nn.Module):
def __init__(self):
super(FlowEncoder, self).__init__()
self.conv1 = nn.Conv2d(in_channels, 64, kernel_size=7, stride=2, padding=3)
self.conv2 = nn.Conv2d(64, 128, kernel_size=3, stride=1, pad... | GeoSciLab/TemDeep | models/FlowEstimationNet.py | FlowEstimationNet.py | py | 2,380 | python | en | code | 0 | github-code | 21 | [
{
"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.Conv2d",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numbe... |
22810635583 | import tensorflow as tf
import numpy as np
from model import *
from util import *
import argparse
import os.path
from generator import *
def train(conf, data, learning_rate=0.001):
X = tf.placeholder(tf.float32, shape=[None, conf.img_height, conf.img_width, conf.channel])
# h = tf.placeholder(tf.float32, shape=[Non... | vietthang207/pixelCnn | main.py | main.py | py | 5,002 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tensorflow.placeholder",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.train.AdamOptimizer",
"line_number": 18,
"usage_type": "call"
},
{
"api... |
23494880120 | import tweepy
import snap
import numpy as np
import csv
# Load API
consumer_key = ""
consumer_secret = ""
access_token = ""
access_token_secret = ""
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
API = tweepy.API(auth)
# Load followers and followee... | skagankose/sehirTweets | createGraph.py | createGraph.py | py | 3,299 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_numb... |
10272246992 | import utils
import pandas as pd
from sklearn.utils import shuffle
class DataLoader():
def __init__(self, config):
self.smiles2fingerprint = dict()
self.smiles2maccs = dict()
if config['args_dataset'] == 'biosnap' or config['args_dataset'] == 'unseen_drug_biosnap':
train_cpi... | wentao228/KG-CPI | data_loader.py | data_loader.py | py | 2,699 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.utils.shuffle",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sklearn.utils.shuffle",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sklearn.utils.shuffle",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pan... |
29393877967 | from django.contrib.auth.models import User
from friendships.api.paginations import FriendshipPagination
from friendships.api.serializers import (
FollowerSerializer,
FollowingSerializer,
FriendshipSerializerForCreate,
)
from friendships.models import Friendship
from friendships.services import FriendshipSe... | LilCybe/Django_Twitter_Project | friendships/api/views.py | views.py | py | 3,985 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.viewsets.GenericViewSet",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.all",
"line_number": 22,
"usa... |
9240801294 | # trunk-ignore(ruff/D400)
# trunk-ignore(ruff/D415)
"""added file_name column to attachments table
Revision ID: ba92b48a6dd1
Revises: 1da97c81acd7
Create Date: 2023-03-29 16:26:49.645588
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "ba92b48a6dd1"
down_revisi... | Yahya-git/To-Do-List-MS | alembic/versions/ba92b48a6dd1_added_file_name_column_to_attachments_.py | ba92b48a6dd1_added_file_name_column_to_attachments_.py | py | 765 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "alembic.op.add_column",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String"... |
5227638708 | import logging
from typing import Callable, List
import numpy as np
import torch
import torch.nn as nn
from torch.distributions import Categorical
from torch import optim
from hprl.policy.policy import Policy
from hprl.policy.util import to_tensor_for_trajectory, compute_reward_to_go
from hprl.policy.policy import Ad... | AmoyZhp/traffic_light_control | traffic_light_control/hprl/policy/single/actor_critic.py | actor_critic.py | py | 7,635 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "hprl.policy.policy.Policy",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "torc... |
8540909018 | # =======================
# Importing the libraries
# =======================
import sys
import numpy as np
from tqdm import tqdm
from time import time
import matplotlib.pyplot as plt
#import tikzplotlib
print( '------------' )
print( 'COMPARATION:' )
print( '------------' )
# ------------
# current work
# -------... | marquesleandro/validation | aleCavity/relativeError/relativeError.py | relativeError.py | py | 8,873 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": ... |
2921832668 | from load_model import *
from copy import deepcopy
from tqdm import tqdm
from torch import optim
class approx_fnn:
def __init__(
self,
width,
target_depth,
frozen_depth,
rank,
use_bias,
activation,
std = .25,
method = 'ours',
batch_siz... | UW-Madison-Lee-Lab/Expressive_Power_of_LoRA | run_exp.py | run_exp.py | py | 42,268 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "torch.ones",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "torch.ones",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "torch.block_diag",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "torch.randn",
"line_number... |
72915296694 | from requests import get
from json import dumps
def getFinantialURL(typeFinantial = "stock"):
if typeFinantial == "stock":
return "quote"
elif typeFinantial == "crypto":
return typeFinantial
def getStockData(stockCode = ["PETR4"]):
urlBase = f"https://brapi.dev/api/{getFinantialURL()}/{... | leocesar1/financial-analysis-using-Python | libs/importData.py | importData.py | py | 1,384 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
}
] |
15740244966 | from flask import Flask, session, jsonify, request
import flask_restful
import pandas as pd
import numpy as np
import pickle
import diagnostics
import json
import os
######################Set up variables for use in our script
app = Flask(__name__)
app.secret_key = '1652d576-484a-49fd-913a-6879acfa6ba4'
a... | jckuri/Dynamic_Risk_Assessment_System | app.py | app.py | py | 2,588 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask_restful.Resource",
... |
32181489905 | import logging
import uuid
from typing import TYPE_CHECKING
import dask.dataframe as dd
import pandas as pd
from dask_sql.datacontainer import ColumnContainer, DataContainer
from dask_sql.physical.rel.base import BaseRelPlugin
if TYPE_CHECKING:
import dask_sql
from dask_sql._datafusion_lib import LogicalPlan... | dask-contrib/dask-sql | dask_sql/physical/rel/custom/predict_model.py | predict_model.py | py | 3,535 | python | en | code | 336 | github-code | 21 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dask_sql.physical.rel.base.BaseRelPlugin",
"line_number": 18,
"usage_type": "name"
},
{
"a... |
74547657652 | from collections import defaultdict
def jaccard_similarity(users1, users2):
set1 = set(users1)
set2 = set(users2)
intersection = len(set1.intersection(set2))
union = len(set1.union(set2))
return intersection / union if union != 0 else 0
def top_k_similar_pairs(website_user_pairs, k):
... | Shivkisku/Python_adv | top_website_similarity.py | top_website_similarity.py | py | 1,537 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 13,
"usage_type": "call"
}
] |
30597685245 | import argparse
import json
import tensorflow as tf
import time
from pck import get_pck_with_sigma,get_pck_with_pixel
import numpy as np
from utils import *
import os
import logging
import matplotlib.pyplot as plt
from sklearn.metrics import auc
parser = argparse.ArgumentParser(description='Choose dataset, a... | hanchenchen/Attention-A-Lightweight-2D-Hand-Pose-Estimation-Approach-master | compare.py | compare.py | py | 2,345 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.io.gfile.glob",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tens... |
165927584 | from models import degrade
from models import vae_style
from torch import nn
import torch
from models.vgg import vgg
##weight initialization tooo?
class Net(nn.Module):
def __init__(self, encoder):
super(Net, self).__init__()
self.vae = vae_style.se50_fc() ## LATENT 256: Hardcoded
for c... | nprithviraj24/face-hallucination | vae/sample.py | sample.py | py | 1,696 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "models.vae_style.se50_fc",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.vae_sty... |
9031543581 | # @Author: Li
# @FileName: GA_sko_opt.py
# @Time: 2021/10/30 19:48
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sko.GA import GA
# 适应度函数,求取最大值
# 因为GA函数是求最小值，所以我在适应度函数上加一个负号
# GA要求输入维度2维及其以上，所以我传入2个参数，第二维x2不用
a = 20
b = 0.2
c = 2 * np.pi
def schaffer(p):
"""
This function has ... | lwh104/GA | GA_sko_opt.py | GA_sko_opt.py | py | 1,185 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.pi",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.exp",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 2... |
15333471144 | import logging
import re
from grimoirelab_toolkit.datetime import str_to_datetime, unixtime_to_datetime
from .enrich import Enrich, metadata
logger = logging.getLogger(__name__)
class FunctestEnrich(Enrich):
BOOST_PROJECTS = ['functest', 'storperf', 'vsperf', 'bottlenecks', 'qtip', 'yardstick']
def get_... | chaoss/grimoirelab-elk | grimoire_elk/enriched/functest.py | functest.py | py | 5,478 | python | en | code | 58 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "enrich.Enrich",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "re.fullmatch",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "re.fullmatch",
"line_... |
20426039354 | from django.conf import settings as django_settings
from django.core.mail import send_mail
from django.db.models import Q
from django.db.models import F
from django.db.models import Sum
from django.shortcuts import get_object_or_404
from django.shortcuts import render
from django.utils import timezone
from faker import... | aclark4life/aclark-net-2018-2 | aclarknet/database/utils.py | utils.py | py | 29,724 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "faker.Faker",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "obj.profile",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "query... |
42826231564 | import requests
import xml.etree.ElementTree as ET
import re
import sys, os
import time, nltk
from nltk.stem import PorterStemmer
from nltk.tokenize import word_tokenize
sys.path.append('../Utils')
from Utils.minEditDist import minEditDist
class PubMedParser:
path = 'PubmedArticle/MedlineCitation/Article'
index... | KunChi232/108_BIR_Homework | PubMed_WebCrawler/main.py | main.py | py | 11,070 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "nltk.stem.PorterStemmer",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "xml.etree.Element... |
18421211765 | from xml.dom import EMPTY_NAMESPACE
from StillWeb.sw_util import getChildText, getChildElementsNS
from StillWeb.LinkRewriter import HTML_CRITERIA, rewrite_links
#
# Plugin interface
#
class MyFiltersPlugin:
def __init__(self, framework):
self._framework = framework
pg_plugin = self._framework.plu... | dlitz/stillweb | StillWeb/MyFilters.py | MyFilters.py | py | 3,660 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "StillWeb.sw_util.getChildElementsNS",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "xml.dom.EMPTY_NAMESPACE",
"line_number": 31,
"usage_type": "argument"
},
{
"api_name": "StillWeb.sw_util.getChildElementsNS",
"line_number": 32,
"usage_type": "c... |
72690832054 | import torch
import torch.nn as nn
layer = nn.Conv2d(1, 3, kernel_size=3, stride=1, padding=0) # 输入为单通道灰度图像，用3个3*3的卷积核卷积，步长为1，未加padding
x = torch.rand(1, 1, 28, 28)
y = layer.forward(x)
print(y.shape)
layer1 = nn.Conv2d(1, 3, kernel_size=3, stride=1, padding=1) # 增加1padding，卷积后的图片尺寸不变
y1 = layer1.forward(x)
print(y1... | hang803/CNN | main.py | main.py | py | 699 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Conv2d",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.rand",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "torch.nn.Conv2d",
"line_number":... |
28622595693 | import logging
import os
import subprocess
import sys
from dbnd_airflow.utils import create_airflow_pool
# DO NOT IMPORT ANYTHING FROM AIRFLOW
# we need to initialize some config values first
from dbnd import dbnd_config # isort:skip
from dbnd._core.context.bootstrap import dbnd_system_bootstrap # isort:skip
def... | kalebinn/dbnd | modules/dbnd-airflow/src/dbnd_airflow/dbnd_airflow_main.py | dbnd_airflow_main.py | py | 3,257 | python | en | code | null | github-code | 21 | [
{
"api_name": "airflow.configuration.conf.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "airflow.configuration.conf",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "os.environ.copy",
"line_number": 23,
"usage_type": "call"
},
{
"api_nam... |
15276892375 | #!flask/bin/python
from flask import Flask, jsonify, request
import sys
import os
import subprocess
app = Flask(__name__)
@app.route('/', methods=['POST'])
def index():
data = request.get_json()
word = data["discover"]
ntweets = data["ntweets"]
interested = data["interested"]
print('... | nicase/BullyPolice | pythonService/flaskApi.py | flaskApi.py | py | 805 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.fork",
"line_n... |
73962235253 | from django.contrib.auth.decorators import login_required
from django.core.cache import cache
from django.shortcuts import redirect, render
from django.urls import reverse_lazy
from django.views.generic.edit import DeleteView
from .forms import ProfileUpdateForm, VacationUpdateForm
from .models import Vacation
from .u... | LevityLoveLight/django_crm_test_project | vacation_service/users/views.py | views.py | py | 2,603 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.core.cache.cache.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.core.cache.cache",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "models.Vacation.objects.all",
"line_number": 22,
"usage_type": "call"
},
{
"a... |
15081689927 | import itertools
from random import sample
def calc_euclidean_distance(v1, v2):
sum_distance = 0
for pos1, pos2 in zip(v1, v2):
sum_distance += (float(pos2) - float(pos1)) ** 2
return sum_distance
def calculate_centroid(members):
partial_sum = [sum(e) for e in zip(*members)]
return tuple... | BrunoKedzierski/Artifical-Intelligence-Tools | Kmeans/KClassifier.py | KClassifier.py | py | 1,978 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "itertools.combinations",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 40,
"usage_type": "call"
}
] |
74808806771 | from collections import defaultdict
d = defaultdict(list)
with open('26-sg23.txt') as f:
f.readline()
for s in f.readlines():
k, i = map(int, s.split())
d[k].append(i)
for k in d.keys():
d[k] = sorted(set(d[k]))
mx_amount = 0
mx_n = 0
for k in sorted(d.keys(), reverse=True):
cur_len =... | hypergraphman/grupa2ege23 | task26/feb.sg23.py | feb.sg23.py | py | 624 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 3,
"usage_type": "call"
}
] |
15386265085 | """
-----------------------------------------------------------------------------------
Authors: A. Ramirez-Morales
htcondor job submitter
usage: python3 ./scripts/submit_stats_svm.py sample_name boot/kfold exotic/single
-----------------------------------------------------------------------------------
"""
from sys... | unciafidelis/SVM-physics | scripts/submit_stats_svm.py | submit_stats_svm.py | py | 1,515 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "os.getcwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "sys.argv",
"line_number": 18,... |
40322035154 | import timm
import torch
from PIL import Image
from timm.data import resolve_data_config
from timm.data.transforms_factory import create_transform
CHECKPOINT_PATH = "C:\\Users\\gates\\Desktop\\project\\checkpoint-0.pth.tar"
model = timm.create_model('vit_base_patch16_224_miil_in21k', num_classes=84)
checkpoint = tor... | gatestan13/plankthon | src/imsofuckingdone.py | imsofuckingdone.py | py | 818 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "timm.create_model",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "timm.data.resolve_data_conf... |
5745259359 | #!/usr/bin/python3
""" Request a RestAPI """
import json
import requests
from sys import argv
if __name__ == '__main__':
""" """
u_id = int(argv[1])
# APIS url
todo_url = "https://jsonplaceholder.typicode.com/todos"
user_url = "https://jsonplaceholder.typicode.com/users"
user = requests.get(u... | Imartino4/holbertonschool-back-end | api/0-gather_data_from_an_API.py | 0-gather_data_from_an_API.py | py | 854 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
}
] |
20079489341 | import pygame
class Settings:
"""A class to store all settings for Jet Fighter."""
def __init__(self):
"""Initialize the game's settings."""
# Screen settings
self.screenWidth = 1200
self.screenHeight = 800
self.bgColor = (230, 230, 230)
self.bg = pygame.image.lo... | bd3young/pygame | settings.py | settings.py | py | 1,642 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.image.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.mixer.Sound",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",... |
18383013771 | import os
import time
import pytest
import wazuh_testing as fw
from wazuh_testing import event_monitor as evm
from wazuh_testing.wazuh_db import query_wdb, insert_agent_in_db
from wazuh_testing.tools.services import delete_dbs
from wazuh_testing.tools.file import get_list_of_content_yml
# Marks
pytestmark = [pytest.m... | wazuh/wazuh-qa | tests/integration/test_wazuh_db/test_set_agent_groups.py | test_set_agent_groups.py | py | 3,923 | python | en | code | 29 | github-code | 21 | [
{
"api_name": "pytest.mark",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pytest.mark.tier",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
1203942171 | # reduce() = applies function of choosing to single cum value
# performs function on first two ele and repeats until 1 value remains
# reduce(funciton, iterable)
import functools
#letters = ('H', 'E', 'L', 'L', 'O')
#word = functools.reduce(lambda x, y: x + y, letters)
#print(word)
def factorial(num):
... | rodiiipooo/learningPython | day10/reduceFunction.py | reduceFunction.py | py | 507 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "functools.reduce",
"line_number": 19,
"usage_type": "call"
}
] |
25093011641 | from django.urls import path
from .views import(
postProject,
BidsDeleteView,
makeBid,
ProjectsListView,
BidsUpdateView,
viewBidsOnProjects,
ProjectDeleteView,
ProjectUpdateView,
assignTo,
ViewProject,
)
urlpatterns = [
path('post/', postProject, name="post-bid"),
path('... | SketchFrame/sframe | bids/urls.py | urls.py | py | 1,033 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "views.postProject",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "views.Project... |
35981330105 | from abc import ABC,abstractmethod
import json
class Predictor(ABC):
def __init__(self, step, umbral ,results_loc, log_loc):
self._step = step
self._results_loc = results_loc
self._log_loc = log_loc
self._umbral = umbral
@abstractmethod
def _get_prediction(self, item):
pass
def _save_data(self, dat... | jnparedes/Netder_experiment | FakeNewsData/Predictor.py | Predictor.py | py | 2,111 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "abc.ABC",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "json.dump",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 25... |
25621072174 | from tkinter import *
from tkinter import ttk
from PIL import ImageTk, Image
#FlipProxy
sample_nameA = "Bant Spirits"
sample_mainA = ("2 Anafenza, Kin-Tree Spirit"
+ "\n1 Birds of Paradise"
+ "\n2 Breeding Pool"
+ "\n2 Cavern of Souls"
+ "\n4 Collected Company"
+ "\n4 Drogskol Captain"
+ "\n3 Flooded Strand"... | dwinniford/MTG-Proxy-Generator | Archive/menu.py | menu.py | py | 6,128 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 147,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
"line_number": 147,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 147,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
... |
32181382305 | import dask.dataframe as dd
import pandas as pd
from dask_sql import Context
c = Context()
data = """
name,x
Alice,34
Bob,
"""
df = pd.DataFrame({"name": ["Alice", "Bob", "Chris"] * 100, "x": list(range(300))})
ddf = dd.from_pandas(df, npartitions=10)
# This needs to be temprarily disabled since this query require... | dask-contrib/dask-sql | continuous_integration/recipe/run_test.py | run_test.py | py | 683 | python | en | code | 336 | github-code | 21 | [
{
"api_name": "dask_sql.Context",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "dask.dataframe.from_pandas",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dask.data... |
9817142032 | # -*- coding: utf-8 -*-
import scrapy,json
from lxml import etree
from ..items import ScrapdownloadermiddleItem
class TenPythonSpider(scrapy.Spider):
name = 'ten_python'
allowed_domains = ['tencent.com']
print(3)
start_urls = [
"https://careers.tencent.com/tencentcareer/api/post/Query?timestam... | DingDang56/spider-spider | myset/scrapdownloadermiddle/scrapdownloadermiddle/spiders/ten_python.py | ten_python.py | py | 2,490 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scrapy.Spider",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "items.ScrapdownloadermiddleItem",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "scrapy.R... |
24069695376 | import board
import neopixel
import cv2
import numpy as np
import re
import time
x_pixel = 18
y_pixel = 10
pixel_pin = board.D18
num_pixels = (2*x_pixel+2*y_pixel)
off = (0, 0, 0)
ORDER = neopixel.GRB
pixels = neopixel.NeoPixel(pixel_pin, num_pixels, brightness=0.3, auto_write=False, pixel_order=ORDER)
pixels.fill(of... | StefanRothhaupt/Project-Ambilight | 1-Code/ambilight.py | ambilight.py | py | 3,836 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "board.D18",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "neopixel.GRB",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "neopixel.NeoPixel",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
... |
15224679567 | import importlib
import logging
import re
import sys
import types
from unittest.mock import Mock, call, ANY
import pytest
import apprise
from helpers import reload_plugin
# Disable logging for a cleaner testing output
logging.disable(logging.CRITICAL)
# Skip tests when Python environment does not provide the `dbu... | caronc/apprise | test/test_plugin_glib.py | test_plugin_glib.py | py | 16,273 | python | en | code | 8,936 | github-code | 21 | [
{
"api_name": "logging.disable",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.CRITICAL",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.modules",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pytest.skip",
... |
5751432909 | import openpyxl, pprint
from openpyxl.styles import Font, NamedStyle, Color
from openpyxl.chart import ScatterChart, Series, Reference
from openpyxl.chart.layout import Layout, ManualLayout
"""
{"sheet1":grid[][], "sheet2":grid[][]...}
"""
class ex_doc():
def __init__(self):
self.sheets = []
class exc... | iorilan/py_tiny_apps_playground | excel/excel_helper.py | excel_helper.py | py | 4,859 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "openpyxl.Workbook",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "openp... |
15336212346 | # -*- coding:utf-8 -*-
import json
from websocket import create_connection
class WsClient:
def __init__(self, ip, port):
address = 'ws://' + ip + ':' + port
print(address)
self.ws = create_connection(address)
def send_msg(self, msg):
self.ws.send(json.dumps(msg))
if __nam... | gkf442573575/learn | Python/websocket/01_client.py | 01_client.py | py | 443 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "websocket.create_connection",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 16,
"usage_type": "call"
}
] |
5946108209 | from django.db.models.signals import post_save
from django.dispatch import receiver
from notifications.models import ReservationNotification
from reservations.models import Reservation
from datetime import datetime, timedelta
@receiver(post_save, sender=Reservation)
def create_reservation_notification(sender, instance... | jenydu/Restify | group_project/P2/restify/reservations/signals.py | signals.py | py | 2,455 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "notifications.models.ReservationNotification.objects.create",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "notifications.models.ReservationNotification.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "notifications.models.Reserv... |
8479165627 | import config
import threading
import win32gui
import time
class Stopwatch():
def __init__(self):
self.thread_timer = threading.Thread(target=self.update_timer)
self.is_stopped = False
self.is_false_window = False
self.start_time = time.time()
self.thread_timer.start()
print("Start the stopwatch")
def ... | olehskip/dinoBot | src/stopwatch.py | stopwatch.py | py | 934 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "threading.Thread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "win32gui.GetWindowText",
"lin... |
28351954883 | import pandas as pd
#import plotly as py
import plotly.graph_objs as go
smawindow = 100
mainlineopacity = 0.3
df = pd.read_csv("zscoresv2.csv")
x = df['Generation']
rollavg = df['Current Average'].rolling(window=int(smawindow/5)).mean()
rollhigh = df['Current High'].rolling(window=int(smawindow/5)).mean(... | 7Elev3n/Genetic-Algorithm-Burger-King | v0 - Non-integrated/zzplotme.py | zzplotme.py | py | 1,669 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objs.Scatter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objs",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "plotly.gra... |
41923222596 | import numpy as np
import cv2
def pyramid():
img = cv2.imread('E:/Python_Study/OpenCV/images/model.jpg', cv2.IMREAD_GRAYSCALE)
tmp = img.copy()
win_titles = ['Level 1', 'Level 2', 'Level 3']
g_down = []
g_up = []
img_shape = []
g_down.append(tmp)
img_shape.append(tmp.shape)
for i... | yongil1222/Python_Study | OpenCV/Ex16-3.ImagePyramid3.py | Ex16-3.ImagePyramid3.py | py | 939 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cv2.pyrDown",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.pyrUp",
"line_... |
220327533 | from flask import Blueprint, request, render_template, jsonify, current_app
import string
import random
from flask_mail import Message
from exts import mail, cache
from utils import restful
bp = Blueprint('front', __name__, url_prefix='/')
@bp.route('/')
def hello_world(): # put application's code here
... | Leavendger/study_flaskbbs | zlbbs-front/apps/front/views.py | views.py | py | 2,045 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "flask.r... |
23738023759 | """Test the SedDepEroder component.
Test the sed dep eroder by turning it over a few times. No attempt has been
made to ensure the solution is stable. Takes a topo already output and runs it
a few more times, to ensure repeatability.
"""
import os
from six.moves import range
import numpy as np
from numpy.testing imp... | David-Loibl/landlab | landlab/components/stream_power/tests/test_sed_flux_dep.py | test_sed_flux_dep.py | py | 1,927 | python | en | code | null | github-code | 21 | [
{
"api_name": "os.path.abspath",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
71387864693 | import os
import json
import requests
from json import load
from hashlib import md5
from utils.output import *
# suppress requests insecure warning
requests.packages.urllib3.disable_warnings(requests.packages.urllib3.exceptions.InsecureRequestWarning)
def check_moodle(url, sess):
# checking if valid url
try:
... | cyberaz0r/badmoodle | lib/version.py | version.py | py | 2,963 | python | en | code | 23 | github-code | 21 | [
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.packages",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "requests.exceptions",
"line_number": 20,
"usage_type": "attribute"
},... |
33896867853 | from typing import TYPE_CHECKING, Any, Dict, List, Type, TypeVar, Union
import attr
from ..models.item_vendor_details_by_marketplace_replenishment_category import (
ItemVendorDetailsByMarketplaceReplenishmentCategory,
)
from ..types import UNSET, Unset
if TYPE_CHECKING:
from ..models.item_vendor_details_cate... | milyord/sp-api | sp/catalog_items_2022_04_01/models/item_vendor_details_by_marketplace.py | item_vendor_details_by_marketplace.py | py | 6,437 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.TypeVar",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "types.Unset",
"l... |
75008114292 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import datetime
import glob
import os
from typing import List, Set, Optional
from source.utils.frozen import Frozen
class VideoFilesSearcher(Frozen):
"""
Класс поиска видеофайлов для указанных дат.
Например, если заданы настройки
video_files_searcher = V... | cintock/fastplay | source/video_files_searcher.py | video_files_searcher.py | py | 10,882 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "source.utils.frozen.Frozen",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 76,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 76,
"usage_type": "attribute"
},
{
"api_name": "typ... |
7173038727 | """This module contains a collection of functions which help in manage network connections and interfaces.
General Note on python socket operations:
If you use a hostname in the host portion of IPv4/v6 socket address,the program may show a nondeterministic behavior,
as Python uses the first address returned fr... | threefoldtech/js-ng | jumpscale/sals/nettools/__init__.py | __init__.py | py | 26,980 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "socket.create_connection",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "socket.timeout",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "typing.O... |
1799766412 | import torch
from torch.utils.data.dataset import random_split
def create_train_and_test(model_data, split_percent=0.9):
train_len = int(len(model_data) * split_percent)
sub_train, sub_valid = random_split(model_data, [train_len, len(model_data) - train_len])
return sub_train, sub_valid
def get_percent_p... | agpar/reddit_rep2 | machine_learning/archive/train_utils.py | train_utils.py | py | 1,516 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.utils.data.dataset.random_split",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.equal",
"line_number": 37,
"usage_type": "call"
}
] |
17707597986 | from django import forms
from .models import ReportProblemTable
class ReportProblemForm(forms.ModelForm):
class Meta:
model = ReportProblemTable
fields = [
'user_id',
'problem_description',
'serial_number',
'status_indicator1',
... | edenSofir/Home_Test | newProj/reportProblem/froms.py | froms.py | py | 723 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "models.ReportProblemTable",
"line_number": 6,
"usage_type": "name"
}
] |
43627316160 | import torch
import torch.nn as nn
import math
import torch.nn.functional as F
from ..utils import Conv_BN_ReLU
class FPN(nn.Module):
def __init__(self, in_channels, reduce_channels, out_channels):
super(FPN, self).__init__()
self.reduce_layer1 = Conv_BN_ReLU(in_channels[0], reduce_channe... | omtcyang/Text-Pass-filter | models/neck/fpn.py | fpn.py | py | 1,866 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "utils.Conv_BN_ReLU",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "utils.Conv_BN_ReLU",
... |
19985304198 | import csv
import json
stats = open('data/combined-stats.csv')
with open('data/headers') as f:
fieldnames = [line.strip() for line in f]
reader = csv.DictReader(stats, fieldnames=fieldnames)
granularity = 5
teams = {} # key is teams, value is 2D dictionary of shot locations and amount of attempts
shots = filter(la... | taimur38/nba-model | shot_profile.py | shot_profile.py | py | 1,072 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "csv.DictReader",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 36,
"usage_type": "call"
}
] |
40549466582 | from ipaddress import IPv4Address
from unittest.mock import MagicMock
import pytest
from monkeytypes import AgentPluginManifest, AgentPluginType, OperatingSystem
from tests.common.fake_manifests import FAKE_MANIFEST_OBJECT, FAKE_NAME, FAKE_NAME2, URL
from infection_monkey.i_puppet import TargetHost
from infection_mon... | guardicore/monkey | monkey/tests/unit_tests/infection_monkey/puppet/test_plugin_compatibility_verifier.py | test_plugin_compatibility_verifier.py | py | 5,561 | python | en | code | 6,367 | github-code | 21 | [
{
"api_name": "unittest.mock.MagicMock",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "infection_monkey.island_api_client.IIslandAPIClient",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 15,
"usage_type": "attribute"... |
42740302030 | import cv2
import numpy as np
import dlib # https://www.learnopencv.com/install-dlib-on-ubuntu/
import time
import math
# create rectangular mask
def create_mask(h,w,p1,p2):
# h, w = height and with of the image
# p1, p2 = top left and bottom right points in (x, y) format
# generate a image for the mask
... | phdomingues/A.L.M.A. | rosenv/catkin_ws/src/roboVision/src/nodes/image_functions.py | image_functions.py | py | 4,532 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "cv2.GaussianBlur",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"lin... |
30550211947 | # Read all product sales data and show it using a multiline plot
# Display the number of units sold per month for each product using multiline plots.
# (i.e., Separate Plotline for each product ).
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
df = pd.read_csv("company_sales_data.csv")
df.plo... | Ayoeunice/python_training | matplotlib_exercise/exercise_3.py | exercise_3.py | py | 647 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.ylim",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matplotlib.py... |
9926355864 | import numpy as np
import matplotlib.pyplot as plt
import math
import seaborn as sn
import pandas as pd
class NeuralNetwork():
"""
BASIC NEURAL NETWORK WORKING
"""
def __init__(self, hn):
self.Ni = 2 #Number of input nodes
self.Nh = hn #Number of hidden nodes
self.No = 1 #Numbe... | annasanchez27/bachelorthesis | xorbackprop.py | xorbackprop.py | py | 7,496 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.exp",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
"line_num... |
41640589675 | from flask import render_template, url_for , flash , redirect, request, abort
from flaskblog.forms import RegistrationForm , LoginForm , PostForm
from flaskblog import app,db,bcrypt
from flaskblog.models import User, Post
from flask_login import login_user, current_user,logout_user ,login_required
@app.route("/")
@ap... | Aryamanz29/Web-Ideas | flask/BlogSite-Flask/flaskblog/routes.py | routes.py | py | 4,269 | python | en | code | 37 | github-code | 21 | [
{
"api_name": "flask.request.args.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flaskblo... |
26143020858 | import discord
import os
from discord import Message
from keep_alive import keep_alive
client = discord.Client()
@bot.event
async def on_ready():
print(f'{bot.user} has connected to Discord!')
@bot.event
async def on_message(message: Message):
if message.author.bot:
return
if n... | jonhan8352/NoInvitationDiscordBot | noinvitationdiscordbot.py | noinvitationdiscordbot.py | py | 716 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "discord.Client",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "discord.Message",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "keep_alive.keep_alive",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"... |
39180434038 | #!/usr/bin/env python3
# coding: utf-8
"""
-------------------------------------------------------------------------------
parsers.py | script to parse .bib and .md files
-------------------------------------------------------------------------------
Author : Simone Santoni, simone.santoni.1@city.ac.uk
Syn... | simoneSantoni/DrSnow | workingPapers/santoni-sieweke-zhou-nes/companionCode/handleBibs/parsers.py | parsers.py | py | 1,509 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "bibtexparser.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.... |
30924358671 | import datetime as dt
import re
# from bitstream import BitStream
import struct
from datetime import datetime
import matplotlib.dates as md
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
def convert(filename):
f = open(filename, "r")
a = np.fromfile(f, dtype=np.int16, count=-1, offse... | hienvuvg/STM32_SDcard_FATFS | Read_raw_txt.py | Read_raw_txt.py | py | 1,150 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.fromfile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.int16",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_... |
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