max_stars_repo_path stringlengths 3 269 | max_stars_repo_name stringlengths 4 119 | max_stars_count int64 0 191k | id stringlengths 1 7 | content stringlengths 6 1.05M | score float64 0.23 5.13 | int_score int64 0 5 |
|---|---|---|---|---|---|---|
sample_problems/problems_with_solution23.py | adi01trip01/adi_workspace | 0 | 29000 | <gh_stars>0
# Write a Python program to get the n (non-negative integer) copies of the first 2 characters of a given string.
# Return the n copies of the whole string if the length is less than 2
s = input("Enter a string: ")
def copies(string, number):
copy = ""
for i in range(number):
copy += strin... | 3.84375 | 4 |
codeforces/binarySearch二分搜索/1400/1284B上升组合.py | yofn/pyacm | 0 | 29001 | #!/usr/bin/env python3
#https://codeforces.com/problemset/problem/1284/B
#记录每个序列是否有上升，如果没有min.max是多少..
#n=1e5,还得避免O(N**2)..
#上升情况分解
#情况1: sx+sy中sx或sy本身是上升的
#情况2: sx,sy都不上升,判断四个极值的情况(存在几个上升)
#DP..增量计数; f(n+1)=f(n)+X; X=??
# 如果s本身上升,X=(2n+1)
# 如果s本身不升,拿s的min/max去一个数据结构去检查(min/max各一个?)..(低于线性..binary search??)
# ..
def ... | 2.8125 | 3 |
tests/regressiontests/auth_decorators/__init__.py | mdornseif/huDjango | 0 | 29002 | """Test hudjango.auth.decorator functionality."""
| 1.101563 | 1 |
examples/ttt_wm_vs_human.py | pearlfranz20/AL_Core | 10 | 29003 | <reponame>pearlfranz20/AL_Core
from apprentice.agents import SoarTechAgent
from apprentice.working_memory import ExpertaWorkingMemory
from apprentice.working_memory.representation import Sai
# from apprentice.learners.when_learners import q_learner
from ttt_simple import ttt_engine, ttt_oracle
def get_user_demo():
... | 2.25 | 2 |
pic_carver.py | volf52/black_hat_python | 0 | 29004 | <reponame>volf52/black_hat_python
#!/usr/bin/env python
"""
@author : '<NAME> <<EMAIL>>'
"""
import re
import zlib
import cv2
from scapy.all import *
pics = "pictues"
faces_dir = "faces"
pcap_file = "bhp.pcap"
def get_http_headers(http_payload):
try:
headers_raw = http_payload[:http_payload.index("\r... | 2.484375 | 2 |
py/testdir_hosts/test_rf_311M_rows_hosts.py | vkuznet/h2o | 0 | 29005 | import unittest, sys, time
sys.path.extend(['.','..','py'])
import h2o_cmd, h2o, h2o_hosts, h2o_browse as h2b, h2o_import as h2i
# Uses your username specific json: pytest_config-<username>.json
# copy pytest_config-simple.json and modify to your needs.
class Basic(unittest.TestCase):
def tearDown(self):
h... | 2.140625 | 2 |
.ipynb_checkpoints/config-checkpoint.py | BillKiller/ECG_shandong | 0 | 29006 | # -*- coding: utf-8 -*-
'''
@time: 2019/9/8 18:45
@ author: javis
'''
import os
class Config:
# for data_process.py
#root = r'D:\ECG'
root = r'data'
train_dir = os.path.join(root, 'ecg_data/')
# test_dir = os.path.join(root, 'ecg_data/testA')
# train_label = os.path.join(root, 'hf_round1_labe... | 2.109375 | 2 |
integration-tests/steps/test_update_stack.py | rootifera/sceptre | 2 | 29007 | <reponame>rootifera/sceptre<filename>integration-tests/steps/test_update_stack.py
from behave import *
import subprocess
import os
import boto3
@when("the stack config is changed")
def step_impl(context):
# Get config file path
vpc_config_file = os.path.abspath(os.path.join(
os.path.dirname(os.path.di... | 2.046875 | 2 |
test.py | ask-santosh/Document-Matching | 0 | 29008 | import cv2
import matplotlib.pyplot as plt
import easyocr
reader = easyocr.Reader(['en'], gpu=False)
image = cv2.imread('results/JK_21_05/page_1.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
dilated = cv2.dilate(image, None, iterations=1)
eroded = cv2.erode(image, None, iterations=1)
res = reader.readtext(erod... | 2.875 | 3 |
configs/_base_/models/x3d.py | ptoupas/mmaction2 | 0 | 29009 | <reponame>ptoupas/mmaction2<gh_stars>0
# model settings
model = dict(
type='Recognizer3D',
backbone=dict(type='X3D', frozen_stages = -1, gamma_w=1, gamma_b=2.25, gamma_d=2.2),
cls_head=dict(
type='X3DHead',
in_channels=432,
num_classes=400,
multi_class=False,
spatial_... | 1.421875 | 1 |
amktools/util.py | jimbo1qaz/amktools | 2 | 29010 | <gh_stars>1-10
from typing import TypeVar, Optional
def ceildiv(n: int, d: int) -> int:
return -(-n // d)
T = TypeVar("T")
def coalesce(*args: Optional[T]) -> T:
if len(args) == 0:
raise TypeError("coalesce expected >=1 argument, got 0")
for arg in args:
if arg is not None:
... | 3.109375 | 3 |
tello_detection_v2.py | m0dzi77a/jetson-nano-drone-surveillance | 0 | 29011 | <filename>tello_detection_v2.py
from djitellopy import Tello
import cv2, math
import numpy as np
import jetson.inference
import jetson.utils
from threading import Thread
import time
net = jetson.inference.detectNet("ssd-mobilenet-v1", threshold=0.5) #facenet is working; ssd-mobilenet-v1
drohne = Tello()
drohne.connec... | 2.5 | 2 |
sql_judge/model/load_types.py | r4ulill0/gui_dbjudge | 1 | 29012 | from PyQt5.QtCore import QAbstractTableModel, QAbstractItemModel
from PyQt5.QtCore import Qt, QModelIndex, pyqtSlot
class LoadTypesProcess(QAbstractTableModel):
def __init__(self):
super().__init__()
self.csv_values = []
self.header_model = HeaderModel()
def index(self, row, column, p... | 2.34375 | 2 |
examples/example1.py | michael-riha/gstreamer-101-python | 4 | 29013 | #!/usr/bin/env python
# mix of:
# https://www.programcreek.com/python/example/88577/gi.repository.Gst.Pipeline
# https://github.com/GStreamer/gst-python/blob/master/examples/helloworld.py
# http://lifestyletransfer.com/how-to-launch-gstreamer-pipeline-in-python/
import sys
import collections
from pprint import pprint... | 2.21875 | 2 |
tests/server1_test.py | kalebswartz7/sirepo | 0 | 29014 | # -*- coding: utf-8 -*-
u"""Test simulationSerial
:copyright: Copyright (c) 2016 RadiaSoft LLC. All Rights Reserved.
:license: http://www.apache.org/licenses/LICENSE-2.0.html
"""
from __future__ import absolute_import, division, print_function
import pytest
pytest.importorskip('srwl_bl')
#: Used for a sanity check o... | 2.140625 | 2 |
kg_nodeexporter/tests/test_builder.py | RangelReale/kg_nodeexporter | 0 | 29015 | import unittest
from kubragen import KubraGen
from kubragen.jsonpatch import FilterJSONPatches_Apply, ObjectFilter, FilterJSONPatch
from kubragen.provider import Provider_Generic
from kg_nodeexporter import NodeExporterBuilder, NodeExporterOptions
class TestBuilder(unittest.TestCase):
def setUp(self):
s... | 2.234375 | 2 |
docs/ASH/notebooks/object-segmentation-on-azure-stack/score.py | RichardZhaoW/AML-Kubernetes | 176 | 29016 | import os
import json
import time
import torch
# Called when the deployed service starts
def init():
global model
global device
# Get the path where the deployed model can be found.
model_filename = 'obj_segmentation.pkl'
model_path = os.path.join(os.environ['AZUREML_MODEL_DIR'], model_filename)
... | 2.4375 | 2 |
acos_client/v21/slb/virtual_port.py | jjmanzer/acos-client | 0 | 29017 | <reponame>jjmanzer/acos-client
# Copyright 2014, <NAME>, A10 Networks.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | 1.648438 | 2 |
base/struct_data.py | cateatfish108/AutoTest | 0 | 29018 | <filename>base/struct_data.py
#coding:utf-8
# 数据库结构体
class DataBase:
url = ""
port = 3306
username = ""
password = ""
database = ""
charset = ""
# 测试用例信息结构体
class CaseInfo:
path = ""
case_list = []
# 测试用例结构体
class Case:
url = ""
db_table = ""
case_id = ""
m... | 2.359375 | 2 |
pox/info/debug_deadlock.py | korrigans84/pox_network | 416 | 29019 | <reponame>korrigans84/pox_network
# Copyright 2012 <NAME>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 1.9375 | 2 |
src/test/chirc/tests/fixtures.py | Schrotty/sIRC | 2 | 29020 | <filename>src/test/chirc/tests/fixtures.py
channels1 = { "#test1": ("@user1", "user2", "user3"),
"#test2": ("@user4", "user5", "user6"),
"#test3": ("@user7", "user8", "user9")
}
channels2 = { "#test1": ("@user1", "user2", "user3"),
"#test2": ("@user4", "user5", "us... | 1.960938 | 2 |
src/annalist_root/annalist/models/entityfinder.py | gklyne/annalist | 18 | 29021 | from __future__ import unicode_literals
from __future__ import absolute_import, division, print_function
"""
This module contains (and isolates) logic used to find entities based on entity type,
list selection criteria and search terms.
"""
__author__ = "<NAME> (<EMAIL>)"
__copyright__ = "Copyright 2014, <NAME... | 2.328125 | 2 |
screengrab.py | denosawr/fairdyne-ai | 0 | 29022 | <reponame>denosawr/fairdyne-ai<filename>screengrab.py
from mss import mss
from PIL import Image
def screengrab(monitor=0, output="screenshot.png"):
""" Uses MSS to capture a screenshot quickly. """
sct = mss()
monitors = sct.enum_display_monitors()
scale = 1
game_x = 300*scale
game_y = 300*sc... | 2.71875 | 3 |
camper/handlers/users/edit.py | mrtopf/camper | 13 | 29023 | <filename>camper/handlers/users/edit.py
#encoding=utf8
from starflyer import Handler, redirect, asjson
from camper import BaseForm, db, BaseHandler
from camper import logged_in, is_admin
from wtforms import *
from sfext.babel import T
from camper.handlers.forms import *
import werkzeug.exceptions
from bson import Objec... | 2.28125 | 2 |
scripts/citation_extractor/citation_extractor.py | elainehoml/Savu | 39 | 29024 | import argparse
import h5py
import sys
import os
from savu.version import __version__
class NXcitation(object):
def __init__(self, description, doi, endnote, bibtex):
self.description = description.decode('UTF-8')
self.doi = doi.decode('UTF-8')
self.endnote = endnote.decode('UTF-8')
... | 2.5625 | 3 |
src/predict_ball_pos/src/predict_ball_position.py | diddytpq/Predict-Tennisball-LandingPoint | 0 | 29025 | <reponame>diddytpq/Predict-Tennisball-LandingPoint<gh_stars>0
#! /home/drcl_yang/anaconda3/envs/py36/bin/python
from pathlib import Path
import sys
FILE = Path(__file__).absolute()
sys.path.append(FILE.parents[0].as_posix()) # add code to path
path = str(FILE.parents[0])
import numpy as np
from sympy import Symbol... | 1.898438 | 2 |
methylize/genome_browser.py | FoxoTech/methylize | 2 | 29026 | import time
import pymysql # for pulling UCSC data
import pandas as pd
from pathlib import Path
import logging
# app
from .progress_bar import * # tqdm, context-friendly
LOGGER = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
logging.getLogger('numexpr').setLevel(logging.WARNING)
# these login st... | 2.125 | 2 |
node_modules/python-shell/test/python/echo_json.py | brenocg29/TP1RedesInteligentes | 22 | 29027 | import sys, json
# simple JSON echo script
for line in sys.stdin:
print json.dumps(json.loads(line))
| 1.96875 | 2 |
test.py | sxhfut/Kashgari | 1 | 29028 | # encoding: utf-8
"""
@author: BrikerMan
@contact: <EMAIL>
@blog: https://eliyar.biz
@version: 1.0
@license: Apache Licence
@file: test.py.py
@time: 2019-01-25 14:43
"""
import unittest
from tests import *
from kashgari.utils.logger import init_logger
init_logger()
if __name__ == '__main__':
unittest.main()
| 0.972656 | 1 |
crossasr/text.py | mhilmiasyrofi/CrossASRv2 | 3 | 29029 | import functools
@functools.total_ordering
class Text:
def __init__(self, id: int, text: str):
self.id = id
self.text = text
def __eq__(self, other):
return self.id == other.id and self.text == other.text
def __lt__(self, other):
return (self.id, self.text) < (other.id, ot... | 3.46875 | 3 |
models/Forest.py | guitassinari/random-forest | 0 | 29030 | <gh_stars>0
from models.DecisionTree import DecisionTree
class Forest:
def __init__(self, hyper_parameters, training_set):
"""
Inicializa a floresta com suas árvores.
:param hyper_parameters: dictionary/hash contendo os hiper parâmetros
:param training_set: dataset de treinamento
... | 3.0625 | 3 |
ansibler/exceptions/ansibler.py | ProfessorManhattan/ansibler | 0 | 29031 | class BaseAnsiblerException(Exception):
message = "Error"
def __init__(self, *args, **kwargs) -> None:
super().__init__(*args)
self.__class__.message = kwargs.get("message", self.message)
def __str__(self) -> str:
return self.__class__.message
class CommandNotFound(BaseAnsiblerEx... | 2.453125 | 2 |
gestao_contato/tests.py | rbiassusi/gesta_contatos | 0 | 29032 | <filename>gestao_contato/tests.py
# -*- coding: utf-8 -*-
from django.test import TestCase, Client
from models import Contato
import json
class TestCase(TestCase):
"""
Realiza o teste utilizando request a API e avaliando seu retorno
"""
def setUp(self):
self.c = Client()
def test_contato... | 2.65625 | 3 |
bouncy.py | kary1806/bouncy | 0 | 29033 | from itertools import count, tee
class Bouncy:
def __init__(self, porcentage):
"""
print the number bouncy
:type porcentage: int -> this is porcentage of the bouncy
"""
nums = count(1)
rebound = self.sum_number(map(lambda number: float(self.is_rebound(number)), coun... | 3.5625 | 4 |
pipeline.py | ankitshah009/BioASQ-Rabbit | 1 | 29034 | #!/usr/bin/env python
import sys
from deiis.rabbit import Message, MessageBus
from deiis.model import Serializer, DataSet, Question
if __name__ == '__main__':
if len(sys.argv) == 1:
print 'Usage: python pipeline.py <data.json>'
exit(1)
# filename = 'data/training.json'
filename = sys.argv... | 2.53125 | 3 |
106 Construct Binary Tree from Preorder and Inorder Traversal.py | gavinfish/LeetCode | 1 | 29035 | <gh_stars>1-10
"""
Given preorder and inorder traversal of a tree, construct the binary tree.
Note:
You may assume that duplicates do not exist in the tree.
"""
__author__ = 'Danyang'
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
... | 3.765625 | 4 |
Python/python_study_4/page13/script.py | zharmedia386/Progate-Course-Repo | 0 | 29036 | <filename>Python/python_study_4/page13/script.py
from menu_item import MenuItem
# Move the code above to menu_item.py
# Import the MenuItem class from menu_item.py
menu_item1 = MenuItem('Sandwich', 5)
print(menu_item1.info())
result = menu_item1.get_total_price(4)
print('Your total is $' + str(result))
| 3.484375 | 3 |
ipysimulate/tools.py | JoelForamitti/ipysimulate | 5 | 29037 | <filename>ipysimulate/tools.py<gh_stars>1-10
def make_list(element, keep_none=False):
""" Turns element into a list of itself
if it is not of type list or tuple. """
if element is None and not keep_none:
element = [] # Convert none to empty list
if not isinstance(element, (list, tuple, set)):
... | 3.5 | 4 |
2048/View.py | nsiegner/AI-ML-learning | 1 | 29038 | import tkinter as tk
class View():
def __init__(self):
window = tk.Tk()
self.frame = tk.Frame(master=window, width=200, height=200)
self.frame.pack()
def show_grid(self, grid):
for i in range(4):
for j in range(4):
label = tk.Label(master=self.frame,... | 3.375 | 3 |
other tests/test_6_create_record_label.py | pavelwearevolt/Cross_Edit_TestsAutomatization | 0 | 29039 | <filename>other tests/test_6_create_record_label.py<gh_stars>0
__author__ = 'pavelkosicin'
from model.label import Label
def test_create_record_label(app):
app.label.create_recording_artist(Label(name="rl_#1", asap="WB86-8RH31.50UTS-J",
note="Mens autem qui est in festi... | 1.703125 | 2 |
tensorsketch/evaluate.py | udellgroup/tensorsketch | 6 | 29040 | import numpy as np
def eval_rerr(X, X_hat, X0=None):
"""
:param X: tensor, X0 or X0+noise
:param X_hat: output for apporoximation
:param X0: true signal, tensor
:return: the relative error = ||X- X_hat||_F/ ||X_0||_F
"""
if X0 is not None:
error = X0 - X_hat
return np.linalg.... | 2.734375 | 3 |
mne/datasets/visual_92_categories/visual_92_categories.py | fmamashli/mne-python | 3 | 29041 | <filename>mne/datasets/visual_92_categories/visual_92_categories.py
# License: BSD Style.
from ...utils import verbose
from ..utils import _data_path, _data_path_doc, _get_version, _version_doc
@verbose
def data_path(path=None, force_update=False, update_path=True, download=True,
verbose=None):
"""... | 2.59375 | 3 |
src/commons/helpers.py | thierrydecker/nfpy | 0 | 29042 | """helpers module
"""
import json
import pcap
import yaml
def get_adapters_names():
"""Finds all adapters on the system
:return: A list of the network adapters available on the system
"""
return pcap.findalldevs()
def config_loader_yaml(config_name):
"""Loads a .yml configuration file
:p... | 3.171875 | 3 |
evaluarnumprimo.py | neriphy/numeros_primos | 0 | 29043 | <reponame>neriphy/numeros_primos
#Evaludador de numero primo
#Created by @neriphy
numero = input("Ingrese el numero a evaluar: ")
divisor = numero - 1
residuo = True
while divisor > 1 and residuo == True:
if numero%divisor != 0:
divisor = divisor - 1
print("Evaluando")
residuo = True
elif numero%divisor ==... | 4.25 | 4 |
src/ssp/ml/transformer/text_preprocessor.py | gyan42/spark-streaming-playground | 10 | 29044 | <filename>src/ssp/ml/transformer/text_preprocessor.py<gh_stars>1-10
#!/usr/bin/env python
__author__ = "<NAME>"
__copyright__ = "Copyright 2020, The Spark Structured Playground Project"
__credits__ = []
__license__ = "Apache License"
__version__ = "2.0"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
__status__ = "Edu... | 2.390625 | 2 |
multi_lan_ner.py | jpotwor/multi_lan_ner | 0 | 29045 | import spacy
def find_entities(input_phrase, language):
models = {
'en': 'en_core_web_sm',
'pl': 'pl_core_news_sm',
'fr': 'fr_core_news_sm',
'de': 'de_core_news_sm',
'it': 'it_core_news_sm',
}
if language in models:
nlp = spacy.load(models[language])
doc = nlp(input_phrase)... | 2.78125 | 3 |
Daily-Coding-Problem/Problem4/Problem4.py | grisreyesrios/Solutions--Daily-Coding-Problems | 1 | 29046 | # Python programming that returns the weight of the maximum weight path in a triangle
def triangle_max_weight(arrs, level=0, index=0):
if level == len(arrs) - 1:
return arrs[level][index]
else:
return arrs[level][index] + max(
triangle_max_weight(arrs, level + 1, index), triangle_ma... | 3.921875 | 4 |
src/users/models/componentsschemasmicrosoft_graph_workbooktablesortallof1.py | peombwa/Sample-Graph-Python-Client | 0 | 29047 | # coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from ... | 1.820313 | 2 |
python/FPgrowth/updateConfidence.py | gingi99/research_dr | 1 | 29048 | # -*- coding:utf-8 -*-
# Usage : python ~~.py
import sys
import os
import pickle
import collections
import pandas as pd
import numpy as np
from itertools import chain
from itertools import combinations
from itertools import compress
from itertools import product
from sklearn.metrics import accuracy_score
from multiproc... | 2.484375 | 2 |
24/03/0.py | pylangstudy/201708 | 0 | 29049 | <gh_stars>0
#!python3.6
import difflib
from pprint import pprint
import sys
text1 = ''' 1. Beautiful is better than ugly.
2. Explicit is better than implicit.
3. Simple is better than complex.
4. Complex is better than complicated.
'''.splitlines(keepends=True)
text2 = ''' 1. Beautiful is better than ugly.
3... | 3.234375 | 3 |
domestic/views/ukef.py | uktrade/great-cms | 10 | 29050 | from directory_forms_api_client.actions import PardotAction
from directory_forms_api_client.helpers import Sender
from django.conf import settings
from django.http import HttpResponseRedirect
from django.shortcuts import redirect
from django.urls import reverse, reverse_lazy
from django.utils.decorators import method_d... | 1.851563 | 2 |
sbol_utilities/excel_to_sbol.py | ArchitJain1201/SBOL-utilities | 3 | 29051 | import unicodedata
import warnings
import logging
import re
import argparse
import sbol3
import openpyxl
import tyto
from .helper_functions import toplevel_named, strip_sbol2_version, is_plasmid, url_to_identity, strip_filetype_suffix
from .workarounds import type_to_standard_extension
BASIC_PARTS_COLLECTION = 'Basi... | 1.671875 | 2 |
jsonschema/tests/test_jsonschema_test_suite.py | prdpklyn/greens-jsonschema | 0 | 29052 | <reponame>prdpklyn/greens-jsonschema<filename>jsonschema/tests/test_jsonschema_test_suite.py
"""
Test runner for the JSON Schema official test suite
Tests comprehensive correctness of each draft's validator.
See https://github.com/json-schema-org/JSON-Schema-Test-Suite for details.
"""
import sys
from jsonschema im... | 2.171875 | 2 |
signalworks/tracking/multitrack.py | lxkain/tracking | 2 | 29053 | import copy
import json
import os
from collections import UserDict
from signalworks.tracking import Event, Partition, TimeValue, Value, Wave
class MultiTrack(UserDict):
"""
A dictionary containing time-synchronous tracks of equal duration and fs
"""
def __init__(self, mapping=None):
if mappi... | 2.5 | 2 |
fixture/__init__.py | hippa777/python_training | 0 | 29054 | from .contact_helper import ContactHelper | 1.039063 | 1 |
blur.py | yasue32/afm-denoise | 1 | 29055 | import cv2
import matplotlib.pyplot as plt
import glob
import os
filepath ="afm_dataset4/20211126/"
files = [line.rstrip() for line in open((filepath+"sep_trainlist.txt"))]
files = glob.glob("orig_img/20211112/*")
def variance_of_laplacian(image):
# compute the Laplacian of the image and then return the focus
# me... | 2.984375 | 3 |
python/component/base/utils.py | ModerateFish/component | 0 | 29056 | import os
def check_path(path):
if not path or not path.strip() or os.path.exists(path):
return
os.makedirs(path)
pass | 2.46875 | 2 |
python/solutii/ingrid_stoleru/Cursor.py | broascaiulian/labs | 0 | 29057 | #!/usr/bin/env python
# *-* coding: UTF-8 *-*
"""Solutia problemei Cursor"""
DIRECTIONS = {" stanga ": [-1, 0], " dreapta ": [1, 0],
" jos ": [0, -1], " sus ": [0, 1]}
def distanta(string, pozitie):
"""Determinarea distantei"""
directie, valoare = string.split()
directie = direct... | 3.40625 | 3 |
hoods/models.py | badruu/neighborhood | 0 | 29058 | <filename>hoods/models.py
from django.db import models
import datetime
from django.utils import timezone
from django.contrib.auth.models import User
from django.urls import reverse
from django.core.validators import MaxValueValidator, MinValueValidator
class Hoods(models.Model):
name = models.CharField(max_length ... | 2.234375 | 2 |
src/clf_comparison.py | UBC-MDS/DSCI522_group17 | 1 | 29059 | # Author: <NAME>, <NAME>, <NAME>
# Date: 2020/11/27
"""Compare the performance of different classifier and train the best model given cross_validate results .
Usage: src/clf_comparison.py <input_file> <input_file1> <output_file> <output_file1>
Options:
<input_file> Path (including filename and file extension) to ... | 2.984375 | 3 |
hebbmodel/fc.py | aimir-lab/hebbian-learning-cnn | 18 | 29060 | <reponame>aimir-lab/hebbian-learning-cnn
import torch.nn as nn
import params as P
import hebbmodel.hebb as H
class Net(nn.Module):
# Layer names
FC = 'fc'
CLASS_SCORES = FC # Symbolic name of the layer providing the class scores as output
def __init__(self, input_shape=P.INPUT_SHAPE):
super(Net, self).__init... | 3.296875 | 3 |
pure_sklearn/feature_extraction/__init__.py | ashetty1-m/pure-predict | 62 | 29061 | <gh_stars>10-100
"""
The :mod:`pure_sklearn.feature_extraction` module deals with feature extraction
from raw data. It currently includes methods to extract features from text.
"""
from ._dict_vectorizer import DictVectorizerPure
from . import text
__all__ = ["DictVectorizerPure", "text"]
| 1.734375 | 2 |
plugin.video.mrstealth.serialu.net/uppod.py | mrstealth/kodi-isengard | 0 | 29062 | #-------------------------------------------------------------------------------
# Uppod decoder
#-------------------------------------------------------------------------------
import urllib2
import cookielib
def decode(param):
try:
#-- define variables
loc_3 = [0,0,0,0]
... | 2.734375 | 3 |
Eir/DTMC/spatialModel/randomMovement/randMoveSIRDV.py | mjacob1002/Eir | 35 | 29063 | <reponame>mjacob1002/Eir<gh_stars>10-100
import numpy as np
from matplotlib import pyplot as plt
import pandas as pd
from Eir.DTMC.spatialModel.randomMovement.randMoveSIRD import RandMoveSIRD
from Eir.utility import Person1 as Person
class RandMoveSIRDV(RandMoveSIRD):
"""
An SIRDV model that follows the Ra... | 3.125 | 3 |
localtalk/application.py | mattcollie/LocalTalk | 0 | 29064 | <filename>localtalk/application.py<gh_stars>0
from localtalk import create_app, create_server
app = create_app()
server = create_server()
# server.start()
if __name__ == '__main__':
app.run(debug=True, host='localhost')
| 1.804688 | 2 |
generate_numpy_data.py | kamleshpawar17/FeTS2021 | 1 | 29065 | import glob
import os
import numpy as np
import nibabel as nb
import argparse
def get_dir_list(train_path):
fnames = glob.glob(train_path)
list_train = []
for k, f in enumerate(fnames):
list_train.append(os.path.split(f)[0])
return list_train
def ParseData(list_data):
'''
Creates a... | 2.484375 | 2 |
podcast/tests/urls.py | richardcornish/django-applepodcast | 7 | 29066 | <reponame>richardcornish/django-applepodcast
try:
from django.urls import include, re_path
except ImportError:
from django.conf.urls import include, url as re_path
urlpatterns = [
re_path(r'^podcast/', include('podcast.urls', namespace='podcast')),
]
| 1.679688 | 2 |
odoo_actions/odoo_client/common.py | catalyst-cloud/adjutant-odoo | 1 | 29067 | from collections import Iterable
class BaseManager(object):
# you must initialise self.resource_env in __init__
fields = None
class Meta:
abstract = True
def _is_iterable(self, ids):
if isinstance(ids, str) or not isinstance(ids, Iterable):
ids = [ids, ]
return ... | 3.125 | 3 |
biokeypy/moduleForShowingJudges.py | zacandcheese/biokeypy | 0 | 29068 | #moduleForShowingJudges
#cmd /K "$(FULL_CURRENT_PATH)"
#cd ~/Documents/GitHub/Keyboard-Biometric-Project/Project_Tuples
#sudo python -m pip install statistics
#python analyzeData.py
"""
Author: <NAME> and <NAME>
Date: 3/09/2018
Program Description: This code can record the
Press Time and Flight Time of a tuple as a ... | 2.703125 | 3 |
dcstats/__init__.py | aplested/DC_Pyps | 1 | 29069 | <filename>dcstats/__init__.py
from dcstats import *
from _version import __version__
| 1.132813 | 1 |
206_reverse_linked_list.py | wasim92007/leetcode | 0 | 29070 | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def reverseList(self, head: Optional[ListNode]) -> Optional[ListNode]:
## By passing the case if empty linked list
if not he... | 4.125 | 4 |
python/test_func.py | cuihua-more/code_strudy | 0 | 29071 | import unittest
def get_formatted_name(first, last, middle = ""):
"""生成整洁的姓名"""
if middle:
full_name = f"{first} {middle} {last}"
else:
full_name = f"{first} {last}"
return full_name.title()
class NamesTestCase(unittest.TestCase): #创建一个测试类，继承于unittest.TestCase 这样才能Python自动测试
"""测试... | 3.84375 | 4 |
api.py | bart02/RaspTomskBot | 0 | 29072 | <reponame>bart02/RaspTomskBot<gh_stars>0
import requests as r
from collections import defaultdict
class session():
req = {"jsonrpc": "2.0", "id": 1}
sid = None
def __init__(self, server='http://raspisanie.admin.tomsk.ru/api/rpc.php'):
self.server = server
self.sid = self.request... | 2.828125 | 3 |
donor/models.py | noRubidium/VampirePty | 0 | 29073 | from __future__ import unicode_literals
from django.db import models
from hospital.models import Hospital
# Create your models here.
class Donor(models.Model):
name = models.CharField(max_length = 200)
username = models.CharField(max_length = 200)
password = models.CharField(max_length = 200)
gender =... | 2.078125 | 2 |
tests/e2e/example/flowapi/test_handler.py | rog-works/lambda-fw | 0 | 29074 | from unittest import TestCase
from lf3py.test.helper import data_provider
from tests.helper.example.flowapi import perform_api
class TestHandler(TestCase):
@data_provider([
(
{
'path': '/models',
'httpMethod': 'GET',
'headers': {},
... | 2.609375 | 3 |
hard-gists/3a2a081e4f3089920fd8aecefecbe280/snippet.py | jjhenkel/dockerizeme | 21 | 29075 | <reponame>jjhenkel/dockerizeme<gh_stars>10-100
'''Trains a simple convnet on the MNIST dataset.
Does flat increment from <NAME> "Error-Driven Incremental Learning in Deep Convolutional
Neural Network for Large-Scale Image Classification"
Starts with just 3 classes, trains for 12 epochs then
incrementally trains the ... | 2.953125 | 3 |
loss_fn/hybrid_loss.py | alireza-nasiri/SoundCLR | 7 | 29076 | <filename>loss_fn/hybrid_loss.py
import torch
import torch.nn as nn
from loss_fn import contrastive_loss
import config
class HybridLoss(nn.Module):
def __init__(self, alpha=0.5, temperature=0.07):
super(HybridLoss, self).__init__()
self.contrastive_loss = contrastive_loss.SupConLoss(temperature)
self.alpha = a... | 2.34375 | 2 |
keystone_tempest_plugin/services/identity/clients.py | ilay09/keystone | 0 | 29077 | <filename>keystone_tempest_plugin/services/identity/clients.py
# Copyright 2016 Red Hat, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2... | 1.882813 | 2 |
history/migrations/0007_auto_20141026_2348.py | atish3/mig-website | 4 | 29078 | <reponame>atish3/mig-website
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('history', '0006_committeemember_member'),
]
operations = [
migrations.AlterField(
m... | 1.648438 | 2 |
utils/web_socket_client.py | deezusdyse/Hand-controlled-breakout | 78 | 29079 | <gh_stars>10-100
## Author: <NAME>
## Web socket client which is used to send socket messages to a connected server.
import websocket
import time
import json
from websocket import WebSocketException, WebSocketConnectionClosedException
import sys
#import _thread as thread
import websocket
ws = websocket.WebSocket()
r... | 3.09375 | 3 |
app/helpers/header_helpers.py | petechd/eq-questionnaire-runner | 3 | 29080 | <reponame>petechd/eq-questionnaire-runner
def get_span_and_trace(headers):
try:
trace, span = headers.get("X-Cloud-Trace-Context").split("/")
except (ValueError, AttributeError):
return None, None
span = span.split(";")[0]
return span, trace
| 2.375 | 2 |
scFates/tools/pseudotime.py | LouisFaure/scFates | 4 | 29081 | from anndata import AnnData
import numpy as np
import pandas as pd
from scipy.sparse import csr_matrix
from joblib import delayed
from tqdm import tqdm
import sys
import igraph
from .utils import ProgressParallel
from .. import logging as logg
from .. import settings
def pseudotime(adata: AnnData, n_jobs: int = 1, ... | 2.25 | 2 |
libai/data/samplers/samplers.py | Oneflow-Inc/libai | 55 | 29082 | # coding=utf-8
# Copyright 2021 The OneFlow Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | 2.640625 | 3 |
nipype/interfaces/niftyseg/tests/test_lesions.py | mfalkiewicz/nipype | 1 | 29083 | <filename>nipype/interfaces/niftyseg/tests/test_lesions.py
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
import pytest
from ....testing import example_data
from ...niftyreg import get_custom_path
from ...niftyreg.tests.test_regutils import no_nifty_t... | 2.03125 | 2 |
tests/test_services/test_run_filters/actions.py | Jumpscale/ays_jumpscale8 | 4 | 29084 | <filename>tests/test_services/test_run_filters/actions.py
def init_actions_(service, args):
"""
this needs to returns an array of actions representing the depencies between actions.
Looks at ACTION_DEPS in this module for an example of what is expected
"""
# some default logic for simple actions... | 2.625 | 3 |
api/test_processor_api.py | AlexRogalskiy/asma | 4 | 29085 | <gh_stars>1-10
from fastapi.testclient import TestClient
import os
import sys
sys.path.append("..")
from libs.config_engine import ConfigEngine
from api.config_keys import Config
from api.processor_api import ProcessorAPI
import pytest
config_path='/repo/config-coral.ini'
config = ConfigEngine(config_path)
app_instan... | 2.25 | 2 |
setup.py | kiminh/lambda-learner | 1 | 29086 | from os import path
from setuptools import find_namespace_packages, setup
this_directory = path.abspath(path.dirname(__file__))
with open('README.md', encoding='utf-8') as f:
long_description = f.read()
setup(
name='lambda-learner',
namespace_packages=['linkedin'],
version='0.0.1',
long_description... | 1.476563 | 1 |
graphiql_strawberry_debug_toolbar/serializers.py | przemub/django-graphiql-strawberry-debug-toolbar | 67 | 29087 | from django.core.serializers.json import DjangoJSONEncoder
class CallableJSONEncoder(DjangoJSONEncoder):
def default(self, obj):
if callable(obj):
return obj()
return super().default(obj)
| 2.25 | 2 |
Famcy/_util_/_fsubmission.py | nexuni/Famcy | 0 | 29088 | <gh_stars>0
import abc
import enum
import json
import pickle
import time
import Famcy
import _ctypes
import os
import datetime
from flask import session
from werkzeug.utils import secure_filename
# GLOBAL HELPER
def get_fsubmission_obj(parent, obj_id):
""" Inverse of id() function. But only works if the object is not... | 2.328125 | 2 |
user/forms.py | apuc/django-rest-framework | 0 | 29089 | <filename>user/forms.py
from crispy_forms import layout
from crispy_forms.helper import FormHelper
from django.conf import settings
from django.contrib.auth.forms import UserCreationForm
from django.urls import reverse_lazy
from django import forms
from .models import UserProfile
class RegisterForm(UserCreationForm):... | 2.484375 | 2 |
wadi.py | sensepost/wadi | 137 | 29090 | import sys
import os
from multiprocessing import Process, Queue, Manager
from threading import Timer
from wadi_harness import Harness
from wadi_debug_win import Debugger
import time
import hashlib
def test(msg):
while True:
print 'Process 2:' + msg
#print msg
def test2():
print 'Process 1'
tim... | 2.34375 | 2 |
learnIndependentRegressionModel.py | zawlin/multi-modal-regression | 29 | 29091 | # -*- coding: utf-8 -*-
"""
Independent model based on Geodesic Regression model R_G
"""
import torch
from torch import nn, optim
from torch.autograd import Variable
from torch.utils.data import DataLoader
import torch.nn.functional as F
from dataGenerators import ImagesAll, TestImages, my_collate
from axisAngle impo... | 1.953125 | 2 |
rick_and_morty_app/views.py | esalcedo94/final_project | 0 | 29092 | # from django.shortcuts import render, redirect, get_object_or_404
from .forms import CharacterForm
from rick_and_morty_app.models import Character
from django.views.generic import ListView, CreateView, UpdateView, DetailView, DeleteView
from django.urls import reverse_lazy # new
# Create your views here.
class HomeP... | 2.1875 | 2 |
samples/contacts/pathUtils.py | Trevol/Mask_RCNN | 0 | 29093 | <reponame>Trevol/Mask_RCNN
import os, sys
def mrcnnPath():
filePath = os.path.dirname(os.path.realpath(__file__))
return os.path.abspath(os.path.join(filePath, os.pardir, os.pardir))
def currentFilePath(file=None):
file = file if file else __file__
return os.path.dirname(os.path.realpath(file))
def m... | 2.4375 | 2 |
event_extractor/train/train.py | chenking2020/event_extract_master | 30 | 29094 | <reponame>chenking2020/event_extract_master
from __future__ import print_function
import sys, os
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
from event_extractor.dataprocess import data_loader
from event_extractor.train.eval import evaluate
import importlib
import ti... | 2.109375 | 2 |
src/oci/object_storage/models/commit_multipart_upload_part_details.py | LaudateCorpus1/oci-python-sdk | 0 | 29095 | <filename>src/oci/object_storage/models/commit_multipart_upload_part_details.py
# coding: utf-8
# Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apac... | 2.125 | 2 |
sorter/lib/data_handler.py | 1shooperman/gr-sorter | 0 | 29096 | <gh_stars>0
''' data_handler.py '''
import os
from sorter.lib.db import DB
from sorter.lib.book_utils import get_by_id, get_by_isbn
from sorter.lib.parse_xml import parse_isbn13_response, parse_id_response
def store_data(books, db_file):
'''
Store the book data in the provided database
'''
database = D... | 2.53125 | 3 |
data_conversions/prepare_las_filelists.py | nazarred/PointCNN | 0 | 29097 | <filename>data_conversions/prepare_las_filelists.py
#!/usr/bin/python3
'''Prepare Filelists for Semantic3D Segmentation Task.'''
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import logging
import os
import math
import pathlib
import random
import argpars... | 2.1875 | 2 |
survol/sources_types/CIM_ComputerSystem/__init__.py | AugustinMascarelli/survol | 0 | 29098 | <reponame>AugustinMascarelli/survol
"""
Computer system.
Scripts related to the class CIM_ComputerSystem.
"""
import sys
import socket
import lib_util
# This must be defined here, because dockit cannot load modules from here,
# and this ontology would not be defined.
def EntityOntology():
return ( ["Name"], )
i... | 2.15625 | 2 |
Primeiros Passos/1-DAY ONE/Sabendo se o nome da cidade tem santo.py | pedroluceena/TreinosPI | 0 | 29099 | <gh_stars>0
cidade = str(input('Qual é o Nome da sua Cidade ?: ')).strip()
print('Sua cidade possui o nome Santo?',cidade[:5].upper() == 'SANTO') | 3.75 | 4 |