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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f8082f1e3f5f385cac811686714cd680277f4584 | 7,406 | py | Python | repro_eval/__main__.py | irgroup/repro_eval | 35a4cf083dbb5f4b29d6ef602a604f0686a537c9 | [
"MIT"
] | 8 | 2020-10-27T02:11:53.000Z | 2022-03-02T11:00:10.000Z | repro_eval/__main__.py | irgroup/repro_eval | 35a4cf083dbb5f4b29d6ef602a604f0686a537c9 | [
"MIT"
] | 2 | 2021-01-25T19:59:39.000Z | 2021-12-07T09:29:01.000Z | repro_eval/__main__.py | irgroup/repro_eval | 35a4cf083dbb5f4b29d6ef602a604f0686a537c9 | [
"MIT"
] | 1 | 2021-04-16T16:21:16.000Z | 2021-04-16T16:21:16.000Z | """
Use repro_eval from the command line with e.g.
python -m repro_eval -t rpd -q qrel_orig -r orig_b rpd_b
python -m repro_eval -t rpd -q qrel_orig -r orig_b orig_a rpd_b rpd_a
python -m repro_eval -t rpd -m rmse -q qrel_orig -r orig_b rpd_b
python -m repro_eval -t rpl -q qrel_orig qrel_rpl -r orig_b rpl_b
python... | 43.309942 | 109 | 0.498785 |
f809139d6c632c257d27b2da4aee81ff3ca5dcc2 | 2,377 | py | Python | main.py | juligreen/towerdefense-prototype | 1cdac58acf697ca856a60dec6533caed17acf656 | [
"MIT"
] | null | null | null | main.py | juligreen/towerdefense-prototype | 1cdac58acf697ca856a60dec6533caed17acf656 | [
"MIT"
] | null | null | null | main.py | juligreen/towerdefense-prototype | 1cdac58acf697ca856a60dec6533caed17acf656 | [
"MIT"
] | null | null | null | import math
from game_objects import Turret, Troop
players = []
def calculate_distance(entity1: Location, entity2: Location) -> float:
# distance between vectors: https://brilliant.org/wiki/distance-formula/
distance = math.sqrt((entity1.x - entity2.x) ** 2 + (entity1.y + entity2.y) ** 2)
return dista... | 30.088608 | 94 | 0.636096 |
f8094b25e0893a5bce69fe2d108d090003595a0e | 7,110 | py | Python | bib_processing.py | GAIGResearch/GAIGResearch.github.io | 90d0555348ad8f3f500b6480168ad65fa0226dce | [
"MIT"
] | null | null | null | bib_processing.py | GAIGResearch/GAIGResearch.github.io | 90d0555348ad8f3f500b6480168ad65fa0226dce | [
"MIT"
] | null | null | null | bib_processing.py | GAIGResearch/GAIGResearch.github.io | 90d0555348ad8f3f500b6480168ad65fa0226dce | [
"MIT"
] | 2 | 2019-07-09T11:08:15.000Z | 2020-12-04T14:55:00.000Z | import os
from pathlib import Path
from difflib import SequenceMatcher
supported_bibtex_types = {"article", "book", "booklet", "inbook", "incollection", "inproceedings", "manual",
"mastersthesis", "misc", "phdthesis", "proceedings", "techreport", "unpublished"}
supported_fields = ["author",... | 33.696682 | 119 | 0.568636 |
f80a066211d5845a2d19529db9ed13271bcad6dc | 2,105 | py | Python | browser.py | 7Cortez7/instagram-giveaway-bot | 43246e3ded06ea3a6cbf2ef20164b229fe90ee0e | [
"MIT"
] | null | null | null | browser.py | 7Cortez7/instagram-giveaway-bot | 43246e3ded06ea3a6cbf2ef20164b229fe90ee0e | [
"MIT"
] | null | null | null | browser.py | 7Cortez7/instagram-giveaway-bot | 43246e3ded06ea3a6cbf2ef20164b229fe90ee0e | [
"MIT"
] | null | null | null | from selenium import webdriver
import time
import userdata as udata
import random
randomUsers = set()
| 31.893939 | 121 | 0.59715 |
f80b2ee49671a1d6b544de429dd777345fa6df27 | 246 | py | Python | HackerRank/PythonHackerRankSolutions/Numpy/LinearAlgebra.py | accidentalgenius09/competitive-programming-solution | 210746a7928dcd601ad9a735de52cf7135851070 | [
"MIT"
] | 8 | 2020-08-03T01:53:13.000Z | 2022-01-09T14:47:58.000Z | HackerRank/PythonHackerRankSolutions/Numpy/LinearAlgebra.py | accidentalgenius09/competitive-programming-solution | 210746a7928dcd601ad9a735de52cf7135851070 | [
"MIT"
] | null | null | null | HackerRank/PythonHackerRankSolutions/Numpy/LinearAlgebra.py | accidentalgenius09/competitive-programming-solution | 210746a7928dcd601ad9a735de52cf7135851070 | [
"MIT"
] | 4 | 2020-09-29T11:28:53.000Z | 2021-06-02T15:34:55.000Z | '''
Title : Linear Algebra
Subdomain : Numpy
Domain : Python
Author : codeperfectplus
Created : 10 May 2020
'''
import numpy
n=int(input())
a=numpy.array([input().split() for _ in range(n)],float)
print(round(numpy.linalg.det(a),2))
| 18.923077 | 56 | 0.670732 |
f80c608952146d7fe3d7ed75d5f4bc0dc27ba8ce | 774 | py | Python | pyretri/index/dim_processor/dim_processors_impl/l2_normalize.py | dongan-beta/PyRetri | 8756d5d5813a5211b58855373b6c6cd33d7a11f6 | [
"Apache-2.0"
] | 1,063 | 2020-04-21T12:42:05.000Z | 2022-03-31T06:32:50.000Z | pyretri/index/dim_processor/dim_processors_impl/l2_normalize.py | dongan-beta/PyRetri | 8756d5d5813a5211b58855373b6c6cd33d7a11f6 | [
"Apache-2.0"
] | 39 | 2020-05-07T07:24:19.000Z | 2022-02-02T23:49:23.000Z | pyretri/index/dim_processor/dim_processors_impl/l2_normalize.py | dongan-beta/PyRetri | 8756d5d5813a5211b58855373b6c6cd33d7a11f6 | [
"Apache-2.0"
] | 174 | 2020-04-26T04:33:11.000Z | 2022-03-17T02:58:45.000Z | # -*- coding: utf-8 -*-
import numpy as np
from ..dim_processors_base import DimProcessorBase
from ...registry import DIMPROCESSORS
from sklearn.preprocessing import normalize
from typing import Dict, List
| 27.642857 | 75 | 0.666667 |
f80ccbd3e3b59f33892aafb3cc6b1f95f360dd40 | 1,631 | py | Python | test_csv_write.py | wandyrandy/Groupme-Group-Stats-Report | 25a59b715a7555540695639de81db390f09eb122 | [
"MIT"
] | 2 | 2019-08-13T21:50:32.000Z | 2019-08-14T00:49:29.000Z | test_csv_write.py | wandyrandy/Groupme-Group-Stats-Report | 25a59b715a7555540695639de81db390f09eb122 | [
"MIT"
] | null | null | null | test_csv_write.py | wandyrandy/Groupme-Group-Stats-Report | 25a59b715a7555540695639de81db390f09eb122 | [
"MIT"
] | null | null | null | import csv
import person
from random import randrange
headers = ['Name', 'Messages', 'Char Count', 'Likes Given', 'Likes Received', 'Image URL']
#tester code
people = ['bob', 'joe', 'gmo']
bob = person.Person(111, 'bob', 'www.bob.com', people)
joe = person.Person(222, 'joe', 'www.joe.com', people)
gmo = p... | 31.980392 | 91 | 0.676272 |
f80e19316ce840fcc2138b746a64f522d8f4566b | 866 | py | Python | app/wqFull/G200/testAll.py | fkwai/geolearn | 30cb4353d22af5020a48100d07ab04f465a315b0 | [
"MIT"
] | null | null | null | app/wqFull/G200/testAll.py | fkwai/geolearn | 30cb4353d22af5020a48100d07ab04f465a315b0 | [
"MIT"
] | null | null | null | app/wqFull/G200/testAll.py | fkwai/geolearn | 30cb4353d22af5020a48100d07ab04f465a315b0 | [
"MIT"
] | 2 | 2021-04-04T02:45:59.000Z | 2022-03-19T09:41:39.000Z |
import pandas as pd
from hydroDL.data import usgs, gageII, gridMET, ntn, GLASS, transform, dbBasin
import numpy as np
import matplotlib.pyplot as plt
from hydroDL.post import axplot, figplot
from hydroDL import kPath, utils
import json
import os
import importlib
from hydroDL.master import basinFull
from hydroDL.app.wa... | 29.862069 | 78 | 0.706697 |
f80f8be872541cb1fed210e79dd3fff53a87f8a4 | 9,733 | py | Python | tests/test_Dirichlet_NL_Poisson.py | bond-anton/BDPoisson1D | 538cedc187ce83e90f340cc085738671d325d2e1 | [
"Apache-2.0"
] | null | null | null | tests/test_Dirichlet_NL_Poisson.py | bond-anton/BDPoisson1D | 538cedc187ce83e90f340cc085738671d325d2e1 | [
"Apache-2.0"
] | 2 | 2017-07-21T22:10:19.000Z | 2018-07-14T21:39:07.000Z | tests/test_Dirichlet_NL_Poisson.py | bond-anton/BDPoisson1D | 538cedc187ce83e90f340cc085738671d325d2e1 | [
"Apache-2.0"
] | null | null | null | import math as m
import numpy as np
from BDMesh import Mesh1DUniform
from BDFunction1D import Function
from BDFunction1D.Functional import Functional
from BDFunction1D.Interpolation import InterpolateFunction
from BDPoisson1D.DirichletNonLinear import dirichlet_non_linear_poisson_solver_arrays
from BDPoisson1D.Dirich... | 44.646789 | 111 | 0.552348 |
f810064772dd89a3265f0776de267483682a707d | 23,282 | py | Python | trtools/dumpSTR/tests/test_dumpSTR.py | Kulivox/TRTools | ea05f9126f5145405cced8fd85821ce929657b3a | [
"MIT"
] | 14 | 2020-04-20T15:38:52.000Z | 2022-02-07T11:45:23.000Z | trtools/dumpSTR/tests/test_dumpSTR.py | Kulivox/TRTools | ea05f9126f5145405cced8fd85821ce929657b3a | [
"MIT"
] | 74 | 2020-03-02T23:34:53.000Z | 2022-03-21T18:32:10.000Z | trtools/dumpSTR/tests/test_dumpSTR.py | Kulivox/TRTools | ea05f9126f5145405cced8fd85821ce929657b3a | [
"MIT"
] | 15 | 2018-10-29T19:41:33.000Z | 2020-02-21T18:41:51.000Z | import argparse
import gzip
import os
import pytest
from ..dumpSTR import *
from trtools.testsupport.utils import assert_same_vcf, assert_same_file
# Set up base argparser
# Test no such file or directory
def test_WrongFile(args, testDumpSTRdir):
fname = os.path.join(testDumpSTRdir, "test_non_existent.vcf")
... | 34.038012 | 129 | 0.683489 |
f81030a9747b6fbce3be0c3890586bc3da2d99c2 | 27,895 | py | Python | nova/network/ldapdns.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/network/ldapdns.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/network/ldapdns.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | 2 | 2017-07-20T17:31:34.000Z | 2020-07-24T02:42:19.000Z | begin_unit
comment|'# Copyright 2012 Andrew Bogott for the Wikimedia Foundation'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may'
nl|'\n'
comment|'# not use this file except in compliance with the License. You may obtain'
nl|'\n'
comment|'# a copy ... | 12.044473 | 174 | 0.578276 |
f81075d9a768c275f1cbe075abbbe7e3dce2e3c6 | 2,554 | py | Python | src/weekly_contest_251/1946_largest-number-after-mutating-substring.py | dongminlee94/leetcode-practice | 4d33816d66df8ab447087a04b76008f6bec51f23 | [
"MIT"
] | null | null | null | src/weekly_contest_251/1946_largest-number-after-mutating-substring.py | dongminlee94/leetcode-practice | 4d33816d66df8ab447087a04b76008f6bec51f23 | [
"MIT"
] | null | null | null | src/weekly_contest_251/1946_largest-number-after-mutating-substring.py | dongminlee94/leetcode-practice | 4d33816d66df8ab447087a04b76008f6bec51f23 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
1946. Largest Number After Mutating Substring
https://leetcode.com/problems/largest-number-after-mutating-substring/
Example 1:
Input: num = "132", change = [9,8,5,0,3,6,4,2,6,8]
Output: "832"
Explanation: Replace the substring "1":
- 1 maps to change[1] = 8.
Thus, "132" becomes "832".
"8... | 30.047059 | 98 | 0.523101 |
f810c90f204568fd67dca941d0e6266424f5517d | 261 | py | Python | test/unit/bot/test_bot.py | kubicki14/BurtTheCardKing | d0854ea08ffdffee687830097b0645069e263d9d | [
"MIT"
] | null | null | null | test/unit/bot/test_bot.py | kubicki14/BurtTheCardKing | d0854ea08ffdffee687830097b0645069e263d9d | [
"MIT"
] | 1 | 2020-03-04T04:39:20.000Z | 2020-03-04T04:39:20.000Z | test/unit/bot/test_bot.py | kubicki14/BurtTheCardKing | d0854ea08ffdffee687830097b0645069e263d9d | [
"MIT"
] | null | null | null | import pytest
from bot.bot import Bot
| 20.076923 | 75 | 0.659004 |
f8125fde876b086f96371a2951d0cf190eba3f48 | 1,437 | py | Python | Hackerrank/30DaysOfCode/Day9-Recursion3.py | eduardormonteiro/PythonPersonalLibrary | 561733bb8305c4e25a08f99c28b60ec77251ad67 | [
"MIT"
] | null | null | null | Hackerrank/30DaysOfCode/Day9-Recursion3.py | eduardormonteiro/PythonPersonalLibrary | 561733bb8305c4e25a08f99c28b60ec77251ad67 | [
"MIT"
] | null | null | null | Hackerrank/30DaysOfCode/Day9-Recursion3.py | eduardormonteiro/PythonPersonalLibrary | 561733bb8305c4e25a08f99c28b60ec77251ad67 | [
"MIT"
] | null | null | null | """
Hackerrank
Day 9: Recursion 3
https://www.hackerrank.com/challenges/30-recursion/problem?h_r=email&unlock_token=bc6d5f3963afb26ed0b2f69c3f4f3ddb1826e1b2&utm_campaign=30_days_of_code_continuous&utm_medium=email&utm_source=daily_reminder
Objective
Today, we are learning about an algorithmic concept called recursion.... | 22.809524 | 205 | 0.76618 |
f8126dd049c2dae8dffb8bb81f37f683297e9ca7 | 408 | py | Python | todolist/main/models.py | gda2048/TODOlist | cc6c359ab0a8d2f43ed82b19dfc0eb5d640f8b9f | [
"MIT"
] | 1 | 2019-12-19T19:04:02.000Z | 2019-12-19T19:04:02.000Z | todolist/main/models.py | gda2048/TODOlist | cc6c359ab0a8d2f43ed82b19dfc0eb5d640f8b9f | [
"MIT"
] | 5 | 2020-02-12T02:57:13.000Z | 2021-12-13T20:02:16.000Z | todolist/main/models.py | gda2048/TODOlist | cc6c359ab0a8d2f43ed82b19dfc0eb5d640f8b9f | [
"MIT"
] | null | null | null | from django.db import models
| 29.142857 | 68 | 0.70098 |
f812c1ff23e3b82b8ed9c4bca10c6b857649c53a | 2,358 | py | Python | src/qbrobot/util/log.py | jucuguru/crypto-robot-basic | 3addaaff9fb2f41d8e9dcd66bae7ae7f75216704 | [
"BSD-2-Clause"
] | null | null | null | src/qbrobot/util/log.py | jucuguru/crypto-robot-basic | 3addaaff9fb2f41d8e9dcd66bae7ae7f75216704 | [
"BSD-2-Clause"
] | null | null | null | src/qbrobot/util/log.py | jucuguru/crypto-robot-basic | 3addaaff9fb2f41d8e9dcd66bae7ae7f75216704 | [
"BSD-2-Clause"
] | null | null | null | import logging
from qbrobot import qsettings
try :
from util import send_dingding
except ImportError:
DINGDING_CANUSE = False
else:
DINGDING_CANUSE = True
"""
class DingDingLogger
pass all args to logger.method, and call dingding.send_msg()
1. debug message don't send to dingding.
2.... | 25.912088 | 116 | 0.651399 |
f81309425c4d43dc4fcef12218a6de6d14c72768 | 722 | py | Python | Country cleaning/Chile/PRT/OfflineRB.py | Demonliquid/cars-python-cleaning | 91c516a33c4522114dc024cfaf04f1c1d594f973 | [
"MIT"
] | null | null | null | Country cleaning/Chile/PRT/OfflineRB.py | Demonliquid/cars-python-cleaning | 91c516a33c4522114dc024cfaf04f1c1d594f973 | [
"MIT"
] | null | null | null | Country cleaning/Chile/PRT/OfflineRB.py | Demonliquid/cars-python-cleaning | 91c516a33c4522114dc024cfaf04f1c1d594f973 | [
"MIT"
] | null | null | null | # %%
import os
import pandas as pd
import numpy as np
import datetime
# %% CARGA DE DATOS
path = r'F:\Trabajo\Promotive\Chile\PRT\7\CSV\3'
os.chdir(path)
files = os.listdir(path)
files
# %%
files_xls = [f for f in files if f[-3:] == 'csv']
files_xls
# %%
columnas = ['PPU', 'MARCA', 'MODELO', 'ANO_FABRICACION', 'NU... | 17.609756 | 90 | 0.65651 |
f815471c4b7feac192ccd8f44032afcd4c9605be | 3,850 | py | Python | datasets/lfw_crop.py | laoreja/face-identity-transformer | 5569d93017ad9371deae7e2b35564523c64b501e | [
"BSD-3-Clause"
] | 13 | 2020-10-09T07:15:02.000Z | 2022-03-28T20:51:30.000Z | datasets/lfw_crop.py | laoreja/face-identity-transformer | 5569d93017ad9371deae7e2b35564523c64b501e | [
"BSD-3-Clause"
] | 2 | 2021-03-03T15:04:51.000Z | 2021-06-02T03:42:03.000Z | datasets/lfw_crop.py | laoreja/face-identity-transformer | 5569d93017ad9371deae7e2b35564523c64b501e | [
"BSD-3-Clause"
] | 5 | 2021-03-02T11:44:19.000Z | 2021-07-09T16:42:02.000Z | import os.path as osp
import numpy as np
from PIL import Image
import torch.utils.data as data
import torch
__all__ = ['LFW_CROP']
EXTENSION_FACTOR = 2
| 37.745098 | 114 | 0.540779 |
f816945723bd501f06ebbe8199fa11cd256a3a52 | 1,065 | py | Python | test.py | JFF-Bohdan/pyimei | d881f4a11374d29828867e2de397d1fcc8413d25 | [
"MIT"
] | 1 | 2021-07-29T17:39:34.000Z | 2021-07-29T17:39:34.000Z | test.py | JFF-Bohdan/pyimei | d881f4a11374d29828867e2de397d1fcc8413d25 | [
"MIT"
] | null | null | null | test.py | JFF-Bohdan/pyimei | d881f4a11374d29828867e2de397d1fcc8413d25 | [
"MIT"
] | 3 | 2018-08-07T08:01:01.000Z | 2020-03-24T17:14:31.000Z | from pyimei import ImeiSupport
#testing classes
ImeiSupport.test()
valid_imeis = [
356938035643809,
490154203237518,
"356938035643809"
]
invalid_imeis = [
358065019104263,
"357805023984941",
356938035643801
]
checkImeisArray(valid_imeis)
checkImeisArray(invalid_imeis)
pr... | 23.152174 | 73 | 0.66385 |
f816d939ecc6c4f196c356dcf81afa3b4caf0b94 | 2,175 | py | Python | aioauth/responses.py | grmnz/aioauth | e69c989bc81284d60798599816c39ff91074a24b | [
"MIT"
] | null | null | null | aioauth/responses.py | grmnz/aioauth | e69c989bc81284d60798599816c39ff91074a24b | [
"MIT"
] | null | null | null | aioauth/responses.py | grmnz/aioauth | e69c989bc81284d60798599816c39ff91074a24b | [
"MIT"
] | null | null | null | """
.. code-block:: python
from aioauth import responses
Response objects used throughout the project.
----
"""
from dataclasses import dataclass, field
from http import HTTPStatus
from typing import Dict
from .collections import HTTPHeaderDict
from .constances import default_headers
from .types import ErrorTyp... | 20.518868 | 111 | 0.722299 |
f818d292ca6f1460d6aa1027f16f35e13ba6829c | 5,441 | py | Python | fipomdp/experiments/NYC_experiment.py | xbrlej/FiPOMDP | b7a97aaaf43a43e5ee9b8776c0e7f6d0bb09392f | [
"MIT"
] | null | null | null | fipomdp/experiments/NYC_experiment.py | xbrlej/FiPOMDP | b7a97aaaf43a43e5ee9b8776c0e7f6d0bb09392f | [
"MIT"
] | null | null | null | fipomdp/experiments/NYC_experiment.py | xbrlej/FiPOMDP | b7a97aaaf43a43e5ee9b8776c0e7f6d0bb09392f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import logging
import platform
import time
from functools import partial
from statistics import stdev
from typing import List, Tuple, Dict, Union, Any
import psutil
from joblib import Parallel, delayed
from fimdp.objectives import BUCHI
from fipomdp import ConsPOMDP
from fipomdp.energy_solvers ... | 33.58642 | 147 | 0.695093 |
f818e9acfc35ef6a4d51efdba0e1aa6dcf47703d | 399 | py | Python | examples/connect_to_wifi.py | flaiming/TechFurMeet-Micropython | 00ff427429dfc186e33aa5e77bafe39eb820b854 | [
"MIT"
] | 1 | 2018-01-19T12:05:32.000Z | 2018-01-19T12:05:32.000Z | examples/connect_to_wifi.py | flaiming/TechFurMeet-Micropython | 00ff427429dfc186e33aa5e77bafe39eb820b854 | [
"MIT"
] | null | null | null | examples/connect_to_wifi.py | flaiming/TechFurMeet-Micropython | 00ff427429dfc186e33aa5e77bafe39eb820b854 | [
"MIT"
] | null | null | null | import network
import time
# deactivate AP
ap = network.WLAN(network.AP_IF)
ap.active(False)
# activate static network
wlan = network.WLAN(network.STA_IF)
wlan.active(True)
# connect to local WIFI
wlan.connect('TFM-Attendees')
# wait until connected
while not wlan.isconnected():
print('connecting...')
time.... | 19 | 49 | 0.736842 |
f8197ad55d7f3b5e1e727b66b9aaef3047efa623 | 3,317 | py | Python | hikcamerabot/services/tasks/video.py | CamVipQ/hikvision-camera-bot | 84afa0a4dc2fc1ebda71b5020520dc1c300cf3b2 | [
"MIT"
] | 44 | 2019-03-07T00:25:44.000Z | 2022-02-20T15:57:11.000Z | hikcamerabot/services/tasks/video.py | CamVipQ/hikvision-camera-bot | 84afa0a4dc2fc1ebda71b5020520dc1c300cf3b2 | [
"MIT"
] | 25 | 2019-02-17T13:37:27.000Z | 2022-03-22T16:11:46.000Z | hikcamerabot/services/tasks/video.py | CamVipQ/hikvision-camera-bot | 84afa0a4dc2fc1ebda71b5020520dc1c300cf3b2 | [
"MIT"
] | 14 | 2019-06-28T05:40:10.000Z | 2022-03-24T08:05:01.000Z | import asyncio
import logging
import os
import time
from addict import Addict
from aiogram.types import Message
from hikcamerabot.config.config import get_result_queue
from hikcamerabot.constants import Event, VideoGifType
from hikcamerabot.utils.utils import format_ts, gen_random_str
| 35.666667 | 88 | 0.621948 |
f81adf96e79c10244b5314e809ea884419299412 | 71,349 | py | Python | HyperOXO/hypercube.py | drtjc/Hyper | 83579186d915de603d27b8757dfc5a0f82c6770e | [
"MIT"
] | null | null | null | HyperOXO/hypercube.py | drtjc/Hyper | 83579186d915de603d27b8757dfc5a0f82c6770e | [
"MIT"
] | null | null | null | HyperOXO/hypercube.py | drtjc/Hyper | 83579186d915de603d27b8757dfc5a0f82c6770e | [
"MIT"
] | null | null | null | """ Provides functionalilty for working with celled hypercubes.
Hypercubes are extensions of lines, squares and cubes into higher
dimensions. Celled hypercubes can be thought as a grid or lattice
structure. From this point, hypercubes is used to mean celled
hypercubes.
A hypercube can be described by its dimension a... | 30.374202 | 116 | 0.510575 |
f81ca2ce592e84428e81a66ce38e515a6ee5edcf | 42 | py | Python | firecloud/__about__.py | jnktsj/fiss | 2cfce1f6dc0c43f62c51e8a9296946b9990a76fa | [
"BSD-3-Clause"
] | 20 | 2017-08-05T08:44:51.000Z | 2022-03-24T15:33:48.000Z | firecloud/__about__.py | jnktsj/fiss | 2cfce1f6dc0c43f62c51e8a9296946b9990a76fa | [
"BSD-3-Clause"
] | 117 | 2016-10-26T15:31:48.000Z | 2022-02-16T23:06:33.000Z | firecloud/__about__.py | jnktsj/fiss | 2cfce1f6dc0c43f62c51e8a9296946b9990a76fa | [
"BSD-3-Clause"
] | 21 | 2017-03-13T15:16:03.000Z | 2022-02-25T19:14:36.000Z | # Package version
__version__ = "0.16.31"
| 14 | 23 | 0.714286 |
f81e6f765fb2c951a1b3a358bc3ab07fe69f4752 | 11,140 | py | Python | simpa_tests/manual_tests/acoustic_forward_models/KWaveAcousticForwardConvenienceFunction.py | IMSY-DKFZ/simpa | b8bddcf43a4bff2564f0ec208dc511b82e49bfb4 | [
"MIT"
] | 3 | 2022-03-14T15:40:09.000Z | 2022-03-20T02:34:25.000Z | simpa_tests/manual_tests/acoustic_forward_models/KWaveAcousticForwardConvenienceFunction.py | jgroehl/simpa | e56f0802e5a8555ee8bb139dd4f776025e7e9267 | [
"MIT"
] | 3 | 2022-03-18T07:19:12.000Z | 2022-03-30T12:15:19.000Z | simpa_tests/manual_tests/acoustic_forward_models/KWaveAcousticForwardConvenienceFunction.py | IMSY-DKFZ/simpa | b8bddcf43a4bff2564f0ec208dc511b82e49bfb4 | [
"MIT"
] | null | null | null | # SPDX-FileCopyrightText: 2021 Division of Intelligent Medical Systems, DKFZ
# SPDX-FileCopyrightText: 2021 Janek Groehl
# SPDX-License-Identifier: MIT
from simpa.core.device_digital_twins import SlitIlluminationGeometry, LinearArrayDetectionGeometry, PhotoacousticDevice
from simpa import perform_k_wave_acoustic_forw... | 48.859649 | 119 | 0.668223 |
f81ea939afded2dfd41116deec7708196341c5d1 | 10,881 | py | Python | oc_ocdm/counter_handler/filesystem_counter_handler.py | arcangelo7/oc_ocdm | 128d062ce9d858024aafd26d7d238c7a26cc8914 | [
"0BSD"
] | 1 | 2020-12-17T15:33:01.000Z | 2020-12-17T15:33:01.000Z | oc_ocdm/counter_handler/filesystem_counter_handler.py | arcangelo7/oc_ocdm | 128d062ce9d858024aafd26d7d238c7a26cc8914 | [
"0BSD"
] | 26 | 2021-01-08T08:32:23.000Z | 2022-03-29T10:01:40.000Z | oc_ocdm/counter_handler/filesystem_counter_handler.py | arcangelo7/oc_ocdm | 128d062ce9d858024aafd26d7d238c7a26cc8914 | [
"0BSD"
] | 3 | 2021-04-16T08:44:44.000Z | 2022-02-15T11:09:22.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright (c) 2016, Silvio Peroni <essepuntato@gmail.com>
#
# Permission to use, copy, modify, and/or distribute this software for any purpose
# with or without fee is hereby granted, provided that the above copyright notice
# and this permission notice appear in all copies.
... | 42.503906 | 111 | 0.637074 |
f81fb7d0b255f47fb45c7a694f335756c5c2bb24 | 3,823 | py | Python | backend_app/serializers.py | ilveroluca/backend | 91b80b154c4e1e45587797cc41bf2b2b75c23e68 | [
"MIT"
] | null | null | null | backend_app/serializers.py | ilveroluca/backend | 91b80b154c4e1e45587797cc41bf2b2b75c23e68 | [
"MIT"
] | null | null | null | backend_app/serializers.py | ilveroluca/backend | 91b80b154c4e1e45587797cc41bf2b2b75c23e68 | [
"MIT"
] | null | null | null | from rest_framework import serializers
from backend_app import models
# RESPONSES SERIALIZERS
| 27.905109 | 96 | 0.698666 |
f820475f96913877c23f5aa594fcc87cf676cc00 | 1,296 | py | Python | src/api_status_monitor/consumer/database_connection.py | jjaakola/bang-a-gong | d30f889c18eeaff3d62d47cd02e93516e4d24dd7 | [
"MIT"
] | null | null | null | src/api_status_monitor/consumer/database_connection.py | jjaakola/bang-a-gong | d30f889c18eeaff3d62d47cd02e93516e4d24dd7 | [
"MIT"
] | null | null | null | src/api_status_monitor/consumer/database_connection.py | jjaakola/bang-a-gong | d30f889c18eeaff3d62d47cd02e93516e4d24dd7 | [
"MIT"
] | null | null | null | """The database connection manager.
"""
import logging
import psycopg2
| 31.609756 | 86 | 0.500772 |
f8207cbc88a40509eaabe2f12c2e9fb96d02736a | 1,154 | py | Python | app/cvp.py | ekiminatorn/murmur-rest | 594060264cd6ea594d5c07f40163782946f48eb2 | [
"Unlicense",
"MIT"
] | 73 | 2015-01-08T19:58:36.000Z | 2022-01-25T20:44:07.000Z | app/cvp.py | ekiminatorn/murmur-rest | 594060264cd6ea594d5c07f40163782946f48eb2 | [
"Unlicense",
"MIT"
] | 34 | 2015-01-08T19:52:34.000Z | 2022-03-15T08:36:30.000Z | app/cvp.py | ekiminatorn/murmur-rest | 594060264cd6ea594d5c07f40163782946f48eb2 | [
"Unlicense",
"MIT"
] | 33 | 2015-01-08T19:22:40.000Z | 2022-01-19T06:28:37.000Z | """
cvp.py
Functions for generating CVP feeds.
:copyright: (C) 2014 by github.com/alfg.
:license: MIT, see README for more details.
"""
def cvp_player_to_dict(player):
"""
Convert a player object from a Tree to a CVP-compliant dict.
"""
return {
"session": player.session,
"userid": ... | 26.837209 | 78 | 0.604853 |
f82135374f4390dc528fb4356d78faff21f4ca0a | 5,951 | py | Python | Tools/Tools/Scripts/webkitpy/layout_tests/port/base_unittest.py | VincentWei/mdolphin-core | 48ffdcf587a48a7bb4345ae469a45c5b64ffad0e | [
"Apache-2.0"
] | 6 | 2017-05-31T01:46:45.000Z | 2018-06-12T10:53:30.000Z | Tools/Tools/Scripts/webkitpy/layout_tests/port/base_unittest.py | FMSoftCN/mdolphin-core | 48ffdcf587a48a7bb4345ae469a45c5b64ffad0e | [
"Apache-2.0"
] | null | null | null | Tools/Tools/Scripts/webkitpy/layout_tests/port/base_unittest.py | FMSoftCN/mdolphin-core | 48ffdcf587a48a7bb4345ae469a45c5b64ffad0e | [
"Apache-2.0"
] | 2 | 2017-07-17T06:02:42.000Z | 2018-09-19T10:08:38.000Z | # Copyright (C) 2010 Google Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the f... | 46.858268 | 175 | 0.682406 |
f8237a8940cd62de0269063bae0eb6296bc0aa2a | 2,796 | py | Python | data/classifier/general_test.py | alexv1/tensorflow_learn | ae936ffdc211a11403d6a06401a2115334b46402 | [
"Apache-2.0"
] | null | null | null | data/classifier/general_test.py | alexv1/tensorflow_learn | ae936ffdc211a11403d6a06401a2115334b46402 | [
"Apache-2.0"
] | null | null | null | data/classifier/general_test.py | alexv1/tensorflow_learn | ae936ffdc211a11403d6a06401a2115334b46402 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from skimage import transform
import tensorflow as tf
import numpy as np
import glob
import face_recognition as FR
import os
import shutil
| 27.96 | 87 | 0.672031 |
f8238013e026edf0a1b82a52242ee8f202d32c83 | 693 | py | Python | func.py | CrownCrafter/School | 488810b223ad746d7d1b396e609ce8f90f25662c | [
"MIT"
] | null | null | null | func.py | CrownCrafter/School | 488810b223ad746d7d1b396e609ce8f90f25662c | [
"MIT"
] | null | null | null | func.py | CrownCrafter/School | 488810b223ad746d7d1b396e609ce8f90f25662c | [
"MIT"
] | 1 | 2021-02-06T04:28:17.000Z | 2021-02-06T04:28:17.000Z | print("Enter Values of cylindrical part of tent ")
h = float(input("Height : "))
r = float(input("radius : "))
csa_cyl = cyl(h, r)
l = float(input("Enter slant height "))
csa_con = con(r, l)
canvas_area = csa_cyl + csa_con
print("Area of canvas = ", canvas_area, " m^2")
unit_price = float(input("Enter cost of 1 m^2 ")... | 28.875 | 53 | 0.658009 |
f823c6094a403ab6a62faccb2e76b2e2b2d997a0 | 1,282 | py | Python | pymoku/plotly_support.py | manekawije/Liquid | 284991ceca70ec3fcd0cca7e19f4100463600a6c | [
"MIT"
] | null | null | null | pymoku/plotly_support.py | manekawije/Liquid | 284991ceca70ec3fcd0cca7e19f4100463600a6c | [
"MIT"
] | null | null | null | pymoku/plotly_support.py | manekawije/Liquid | 284991ceca70ec3fcd0cca7e19f4100463600a6c | [
"MIT"
] | null | null | null | # Plotly integration for the Moku:Lab Datalogger
# Copyright 2016 Liquid Instruments Pty. Ltd.
from pymoku import InvalidOperationException | 26.163265 | 92 | 0.705148 |
f8277c470e26c658915e5f878e41e448502ec2a5 | 1,126 | py | Python | test_publisher.py | cpgillem/markdown_publisher | a8e6bacea95196b9a18ad8fa2f85822c5d9c4e74 | [
"MIT"
] | null | null | null | test_publisher.py | cpgillem/markdown_publisher | a8e6bacea95196b9a18ad8fa2f85822c5d9c4e74 | [
"MIT"
] | 3 | 2015-04-11T08:16:56.000Z | 2015-04-11T08:17:32.000Z | test_publisher.py | cpgillem/markdown-publisher | a8e6bacea95196b9a18ad8fa2f85822c5d9c4e74 | [
"MIT"
] | null | null | null | import publisher
test_pdf_filename = "test/test.pdf"
test_css_filename = "test/test.css"
test_md_filename = "test/test.md"
test_html_filename = "test/test.html"
test_sender = "cpg@yakko.cs.wmich.edu"
test_recipient = "cpgillem@gmail.com"
test_md = "# Test heading\n\n- test item 1\n- test item 2"
# The test case curr... | 32.171429 | 87 | 0.781528 |
f82900deb38425b32b0150ae828a4448ba15499c | 24 | py | Python | src/train/__init__.py | gracengu/multinomial_classification | 2346533415aff151d1774d36405360ca236cee3f | [
"MIT"
] | 2 | 2021-11-16T12:52:58.000Z | 2021-12-13T04:00:39.000Z | src/train/__init__.py | gracengu/multinomial_classification | 2346533415aff151d1774d36405360ca236cee3f | [
"MIT"
] | null | null | null | src/train/__init__.py | gracengu/multinomial_classification | 2346533415aff151d1774d36405360ca236cee3f | [
"MIT"
] | null | null | null | from .train import Train | 24 | 24 | 0.833333 |
f82c17e0d48a8946b94491663089d67afc63ece3 | 1,185 | py | Python | tracpro/msgs/migrations/0005_inboxmessage.py | rapidpro/tracpro | a68a782a7ff9bb0ccee85368132d8847c280fea3 | [
"BSD-3-Clause"
] | 5 | 2015-07-21T15:58:31.000Z | 2019-09-14T22:34:00.000Z | tracpro/msgs/migrations/0005_inboxmessage.py | rapidpro/tracpro | a68a782a7ff9bb0ccee85368132d8847c280fea3 | [
"BSD-3-Clause"
] | 197 | 2015-03-24T15:26:04.000Z | 2017-11-28T19:24:37.000Z | tracpro/msgs/migrations/0005_inboxmessage.py | rapidpro/tracpro | a68a782a7ff9bb0ccee85368132d8847c280fea3 | [
"BSD-3-Clause"
] | 10 | 2015-03-24T12:26:36.000Z | 2017-02-21T13:08:57.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
| 38.225806 | 118 | 0.599156 |
f82d5b036daead0dff75c2761e785f8a14568edb | 191 | py | Python | src/Models/__init__.py | shulip/ShoppingMallSystem | 01e5a04a8353ca319ed2dc002fc358f6e44c33dd | [
"MIT"
] | null | null | null | src/Models/__init__.py | shulip/ShoppingMallSystem | 01e5a04a8353ca319ed2dc002fc358f6e44c33dd | [
"MIT"
] | null | null | null | src/Models/__init__.py | shulip/ShoppingMallSystem | 01e5a04a8353ca319ed2dc002fc358f6e44c33dd | [
"MIT"
] | 1 | 2021-04-22T15:14:21.000Z | 2021-04-22T15:14:21.000Z | #!/usr/bin/env python
# -*- coding:utf-8 -*-
from .Contract import *
from .Receivable import *
from .Receipt import *
from .Shop import *
from .Statement import *
from .Application import * | 21.222222 | 26 | 0.701571 |
f82d7cf376b5b98be3742039b95afbfff6e6b1f8 | 1,630 | py | Python | description tm.py | jfoerderer/lda-topic-modeling | 998701f87df3a3d034d9208ff60266dcd6dc2b59 | [
"MIT"
] | 2 | 2017-09-02T09:00:24.000Z | 2017-09-08T07:18:38.000Z | description tm.py | jfoerderer/lda-topic-modeling | 998701f87df3a3d034d9208ff60266dcd6dc2b59 | [
"MIT"
] | null | null | null | description tm.py | jfoerderer/lda-topic-modeling | 998701f87df3a3d034d9208ff60266dcd6dc2b59 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import csv
from stop_words import get_stop_words
from nltk.stem.porter import PorterStemmer
from gensim import corpora
import gensim
import os
import re
from nltk.tokenize import RegexpTokenizer
#SET PATH
path = r''
inputname=""
def remove_html_tags(text):
"""Remove html tags from a s... | 26.721311 | 99 | 0.628834 |
f82ef0c0ee2c3fc021e7566fc3d68636a538299f | 596 | py | Python | scripts/load_sample_data.py | thobbs/logsandra | a17abc995dcb0573f3db2f714c1b47d3aff8b20a | [
"MIT"
] | 7 | 2015-05-18T13:00:54.000Z | 2018-08-06T08:27:57.000Z | scripts/load_sample_data.py | thobbs/logsandra | a17abc995dcb0573f3db2f714c1b47d3aff8b20a | [
"MIT"
] | null | null | null | scripts/load_sample_data.py | thobbs/logsandra | a17abc995dcb0573f3db2f714c1b47d3aff8b20a | [
"MIT"
] | 4 | 2015-06-16T11:09:53.000Z | 2020-04-27T19:25:57.000Z | #!/usr/bin/env python
import sys
import os
sys.path.append(os.path.join(os.path.dirname('__file__'), '..', 'src'))
from random import randint
from datetime import datetime, timedelta
from logsandra.model.client import CassandraClient
client = CassandraClient('test', 'localhost', 9160, 3)
keywords = ['foo', 'bar', ... | 28.380952 | 76 | 0.697987 |
f830e618925548200af372e7691ce927a36784c1 | 867 | py | Python | registry/setup.py | fjrmoreews/bioshadock_client | 26a1de6e130689b6385144253525c861d2a2199d | [
"Apache-2.0"
] | 1 | 2015-11-25T19:03:58.000Z | 2015-11-25T19:03:58.000Z | registry/setup.py | fjrmoreews/bioshadock_client | 26a1de6e130689b6385144253525c861d2a2199d | [
"Apache-2.0"
] | 2 | 2015-11-24T14:45:44.000Z | 2015-11-26T15:28:30.000Z | registry/setup.py | fjrmoreews/bioshadock_client | 26a1de6e130689b6385144253525c861d2a2199d | [
"Apache-2.0"
] | 1 | 2015-11-27T10:57:15.000Z | 2015-11-27T10:57:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
setup(
# name of the lib
name='bioshadock_biotools',
# version
version='1.0.1',
packages=find_packages(),
author="Francois Moreews",
description="Import tool for biotools from Dockerfile",
i... | 18.847826 | 59 | 0.575548 |
f831926e75acbe42ce6d5e5261d3946d9b9dfea1 | 1,176 | py | Python | _example/xor_embedded/make.py | backwardn/go-tflite | 30f5e2a268d2eb053f758636609c5c379a3016b5 | [
"MIT"
] | 3 | 2020-01-09T02:57:30.000Z | 2020-07-17T15:56:50.000Z | _example/xor_embedded/make.py | backwardn/go-tflite | 30f5e2a268d2eb053f758636609c5c379a3016b5 | [
"MIT"
] | null | null | null | _example/xor_embedded/make.py | backwardn/go-tflite | 30f5e2a268d2eb053f758636609c5c379a3016b5 | [
"MIT"
] | null | null | null | import numpy as np
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from tensorflow.keras.optimizers import RMSprop
from tensorflow.lite.python import lite
X_train = np.array([[0.0, 0.0],
[1.0, 0.0],
[0.0, 1.0],
[1.0, ... | 30.947368 | 75 | 0.662415 |
f835c7244c8f288b00b860e6cef6f64c28c3ea69 | 473 | py | Python | app/sso/user/models.py | ChristianKreuzberger/django-oauth-sso | b019e2e8232ae141b50b8270e79e0617e24f54bb | [
"MIT"
] | null | null | null | app/sso/user/models.py | ChristianKreuzberger/django-oauth-sso | b019e2e8232ae141b50b8270e79e0617e24f54bb | [
"MIT"
] | null | null | null | app/sso/user/models.py | ChristianKreuzberger/django-oauth-sso | b019e2e8232ae141b50b8270e79e0617e24f54bb | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import AbstractUser
from django.utils.translation import ugettext_lazy as _
| 21.5 | 73 | 0.649049 |
f837af8b513ac4ce60f3ce335c72f8849a0bd813 | 1,710 | py | Python | src/fusanet_utils/features/base.py | fusa-project/fusa-net-utils | b8740c67c0c789889b7abce477c894d77c70a20c | [
"MIT"
] | null | null | null | src/fusanet_utils/features/base.py | fusa-project/fusa-net-utils | b8740c67c0c789889b7abce477c894d77c70a20c | [
"MIT"
] | null | null | null | src/fusanet_utils/features/base.py | fusa-project/fusa-net-utils | b8740c67c0c789889b7abce477c894d77c70a20c | [
"MIT"
] | null | null | null | import logging
from abc import ABC, abstractmethod
from os.path import isfile, splitext
import pathlib
import torch
from .waveform import get_waveform
logger = logging.getLogger(__name__)
| 35.625 | 83 | 0.657895 |
f837f76576c4f735618a20e51681085aeb556de5 | 251 | py | Python | led/hhh/rta2.py | tushar-tdm/osvi | 813499162b7f487ccafa8c08d3e5bf6d05b074de | [
"CC-BY-3.0"
] | 3 | 2020-02-21T01:16:26.000Z | 2020-07-12T08:06:11.000Z | led/hhh/rta2.py | tushar-tdm/osvi | 813499162b7f487ccafa8c08d3e5bf6d05b074de | [
"CC-BY-3.0"
] | 6 | 2020-02-11T23:27:43.000Z | 2022-03-11T23:34:39.000Z | led/hhh/rta2.py | tushar-tdm/osvi | 813499162b7f487ccafa8c08d3e5bf6d05b074de | [
"CC-BY-3.0"
] | null | null | null | import os
import sys
import serial
import time
import struct
ser = serial.Serial('/dev/ttyACM0',9600)
led = sys.argv[1]
act = sys.argv[2]
l = str(led)
"""a = str(act)"""
time.sleep(5)
ser.write(struct.pack(l.encode())
""" ser.write(l.encode()) """
| 14.764706 | 40 | 0.661355 |
f838fea76677e89d488005a23aab7f853eac184d | 11,397 | py | Python | app.py | KendraObika/Froggit | 3734d74de6b7febabb6c1645b61e42928203cf63 | [
"MIT"
] | null | null | null | app.py | KendraObika/Froggit | 3734d74de6b7febabb6c1645b61e42928203cf63 | [
"MIT"
] | null | null | null | app.py | KendraObika/Froggit | 3734d74de6b7febabb6c1645b61e42928203cf63 | [
"MIT"
] | null | null | null | """
Primary module for Froggit
This module contains the main controller class for the Froggit application. There
is no need for any additional classes in this module. If you need more classes, 99%
of the time they belong in either the lanes module or the models module. If you are
unsure about where a new class should... | 41.443636 | 87 | 0.668246 |
f83913edc4b000ba4986205d63145c52269b4655 | 1,252 | py | Python | utils.py | rsoorajs/deecubes-telegram-bot | 223710eb117c1333fefcff22bcf473e89e41c769 | [
"MIT"
] | 2 | 2017-10-08T19:02:01.000Z | 2020-05-16T21:55:18.000Z | utils.py | rsoorajs/deecubes-telegram-bot | 223710eb117c1333fefcff22bcf473e89e41c769 | [
"MIT"
] | null | null | null | utils.py | rsoorajs/deecubes-telegram-bot | 223710eb117c1333fefcff22bcf473e89e41c769 | [
"MIT"
] | 3 | 2018-08-05T18:36:58.000Z | 2020-05-16T21:55:19.000Z | import logging
from functools import wraps
from PIL import Image, ImageFont, ImageDraw
from config import LIST_ALLOWED_USERS
| 25.04 | 90 | 0.683706 |
f83abdd41d8480514557524b539c95519e6c83ef | 152 | py | Python | __init__.py | cmt-qo/cm-flakes | c11f37b50b088cf5c876ef8a6161b7d8d775e99b | [
"MIT"
] | 6 | 2019-11-04T07:04:24.000Z | 2021-02-10T21:35:00.000Z | __init__.py | cmt-qo/cm-flakes | c11f37b50b088cf5c876ef8a6161b7d8d775e99b | [
"MIT"
] | null | null | null | __init__.py | cmt-qo/cm-flakes | c11f37b50b088cf5c876ef8a6161b7d8d775e99b | [
"MIT"
] | 2 | 2020-08-07T09:29:41.000Z | 2021-02-10T21:35:05.000Z | from .Camera import *
from .GloveBox import *
from .Microscope import *
from .Stage import *
from .UserInterface import *
from .NeuralNetwork import * | 25.333333 | 28 | 0.756579 |
f83ba25f5a20e6c46fa842756d48009b7d4b11f6 | 4,444 | py | Python | neural_semigroups/mace4_semigroups_dataset.py | zarebulic/neural-semigroup-experiment | c554acb17d264ba810009f8b86c35ee9f8c4d1f4 | [
"Apache-2.0"
] | 6 | 2020-04-05T23:24:54.000Z | 2021-11-15T11:17:09.000Z | neural_semigroups/mace4_semigroups_dataset.py | zarebulic/neural-semigroup-experiment | c554acb17d264ba810009f8b86c35ee9f8c4d1f4 | [
"Apache-2.0"
] | 23 | 2020-03-15T09:09:54.000Z | 2022-03-29T22:32:23.000Z | neural_semigroups/mace4_semigroups_dataset.py | zarebulic/neural-semigroup-experiment | c554acb17d264ba810009f8b86c35ee9f8c4d1f4 | [
"Apache-2.0"
] | null | null | null | """
Copyright 2019-2021 Boris Shminke
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 law or agreed t... | 34.71875 | 78 | 0.617912 |
f83bb94361c259b35e4ff208fa028f2496100f01 | 7,501 | py | Python | samples/data_inspect_utils.py | shachargluska/centerpose | 01c2c8bfa9d3ee91807f2ffdcc48728d104265bd | [
"MIT"
] | 245 | 2019-11-29T02:55:25.000Z | 2022-03-30T07:30:18.000Z | samples/data_inspect_utils.py | shachargluska/centerpose | 01c2c8bfa9d3ee91807f2ffdcc48728d104265bd | [
"MIT"
] | 24 | 2019-11-29T10:05:00.000Z | 2022-03-30T07:16:06.000Z | samples/data_inspect_utils.py | FishLiuabc/centerpose | 555d753cd82693476f91f78c53aa4147f5a83015 | [
"MIT"
] | 45 | 2019-11-29T05:12:02.000Z | 2022-03-21T02:20:36.000Z | from __future__ import absolute_import, division, print_function
import cv2
import random
import numpy as np
import colorsys
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from matplotlib.patches import Polygon
from skimage.measure import find_contours
def log(text, array=None):
"""Prints a... | 35.382075 | 94 | 0.55046 |
f83bc822a6f47feb415380dd8f541756419c1e6c | 265 | py | Python | tests/conftest.py | sparkythehuman/sms-service--send-message | 8f095ba181f1d42df3968fe34d5e20f30851e021 | [
"MIT"
] | null | null | null | tests/conftest.py | sparkythehuman/sms-service--send-message | 8f095ba181f1d42df3968fe34d5e20f30851e021 | [
"MIT"
] | null | null | null | tests/conftest.py | sparkythehuman/sms-service--send-message | 8f095ba181f1d42df3968fe34d5e20f30851e021 | [
"MIT"
] | null | null | null | import pytest
| 33.125 | 82 | 0.784906 |
f83c3a927ff9df79fe83f0ce7fdfd551b1c6f921 | 7,741 | py | Python | dapy/filters/particle.py | hassaniqbal209/data-assimilation | ec52d655395dbed547edf4b4f3df29f017633f1b | [
"MIT"
] | 11 | 2020-07-29T07:46:39.000Z | 2022-03-17T01:28:07.000Z | dapy/filters/particle.py | hassaniqbal209/data-assimilation | ec52d655395dbed547edf4b4f3df29f017633f1b | [
"MIT"
] | 1 | 2020-07-14T11:49:17.000Z | 2020-07-29T07:43:22.000Z | dapy/filters/particle.py | hassaniqbal209/data-assimilation | ec52d655395dbed547edf4b4f3df29f017633f1b | [
"MIT"
] | 10 | 2020-07-14T11:34:24.000Z | 2022-03-07T09:08:12.000Z | """Particle filters for inference in state space models."""
import abc
from typing import Tuple, Dict, Callable, Any, Optional
import numpy as np
from numpy.random import Generator
from scipy.special import logsumexp
from scipy.sparse import csr_matrix
from dapy.filters.base import AbstractEnsembleFilter
from dapy.mod... | 44.745665 | 88 | 0.689058 |
f83d223baea30c7408f539bf887906161d4b99ea | 1,477 | py | Python | pokemon.py | bran-almeida/Pokemon_Game | 061c9e1b53d8cbaa7366634535288bb2868d6885 | [
"MIT"
] | null | null | null | pokemon.py | bran-almeida/Pokemon_Game | 061c9e1b53d8cbaa7366634535288bb2868d6885 | [
"MIT"
] | null | null | null | pokemon.py | bran-almeida/Pokemon_Game | 061c9e1b53d8cbaa7366634535288bb2868d6885 | [
"MIT"
] | null | null | null | import random | 27.867925 | 83 | 0.564658 |
f83da86dbe71993fb962e0b2187a7e3ca515bae8 | 2,254 | py | Python | recipes/Python/577563_Vectorize_Operation/recipe-577563.py | tdiprima/code | 61a74f5f93da087d27c70b2efe779ac6bd2a3b4f | [
"MIT"
] | 2,023 | 2017-07-29T09:34:46.000Z | 2022-03-24T08:00:45.000Z | recipes/Python/577563_Vectorize_Operation/recipe-577563.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 32 | 2017-09-02T17:20:08.000Z | 2022-02-11T17:49:37.000Z | recipes/Python/577563_Vectorize_Operation/recipe-577563.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 780 | 2017-07-28T19:23:28.000Z | 2022-03-25T20:39:41.000Z | """
Copyright 2011 Shao-Chuan Wang <shaochuan.wang AT gmail.com>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to ... | 40.25 | 81 | 0.732476 |
f83f6977354074227de8507f3a2a55a87f9d6abe | 5,752 | py | Python | sdks/python/appcenter_sdk/models/BranchConfigurationToolsets.py | Brantone/appcenter-sdks | eeb063ecf79908b6e341fb00196d2cd9dc8f3262 | [
"MIT"
] | null | null | null | sdks/python/appcenter_sdk/models/BranchConfigurationToolsets.py | Brantone/appcenter-sdks | eeb063ecf79908b6e341fb00196d2cd9dc8f3262 | [
"MIT"
] | 6 | 2019-10-23T06:38:53.000Z | 2022-01-22T07:57:58.000Z | sdks/python/appcenter_sdk/models/BranchConfigurationToolsets.py | Brantone/appcenter-sdks | eeb063ecf79908b6e341fb00196d2cd9dc8f3262 | [
"MIT"
] | 2 | 2019-10-23T06:31:05.000Z | 2021-08-21T17:32:47.000Z | # coding: utf-8
"""
App Center Client
Microsoft Visual Studio App Center API # noqa: E501
OpenAPI spec version: preview
Contact: benedetto.abbenanti@gmail.com
Project Repository: https://github.com/b3nab/appcenter-sdks
"""
import pprint
import re # noqa: F401
import six
def to_str(self)... | 29.497436 | 113 | 0.595271 |
f840464edc80ddc50844d1de4a6669b63272a7ea | 1,156 | py | Python | tests/cli/version_test.py | longhuei/floyd-cli | 82709f1e301d7a56ac354e4615a354e2c36d71b8 | [
"Apache-2.0"
] | 162 | 2017-01-27T02:54:17.000Z | 2022-03-03T09:06:28.000Z | tests/cli/version_test.py | longhuei/floyd-cli | 82709f1e301d7a56ac354e4615a354e2c36d71b8 | [
"Apache-2.0"
] | 79 | 2017-02-17T08:58:39.000Z | 2021-05-29T09:24:31.000Z | tests/cli/version_test.py | longhuei/floyd-cli | 82709f1e301d7a56ac354e4615a354e2c36d71b8 | [
"Apache-2.0"
] | 43 | 2017-02-23T10:58:42.000Z | 2022-01-17T10:29:31.000Z | from click.testing import CliRunner
import unittest
from mock import patch, Mock, PropertyMock
from floyd.cli.version import upgrade
| 32.111111 | 98 | 0.702422 |
f8423088619bdfe61a95a3f318f27fab6ca0c75a | 4,181 | py | Python | offthedialbot/help.py | DJam98/bot | 366a46bcca55098e1030a4f05d63e8872a791bf8 | [
"MIT"
] | 2 | 2020-08-31T15:45:07.000Z | 2021-09-26T22:15:43.000Z | offthedialbot/help.py | DJam98/bot | 366a46bcca55098e1030a4f05d63e8872a791bf8 | [
"MIT"
] | 17 | 2020-06-02T02:29:48.000Z | 2021-10-13T23:47:44.000Z | offthedialbot/help.py | DJam98/bot | 366a46bcca55098e1030a4f05d63e8872a791bf8 | [
"MIT"
] | 3 | 2020-05-31T23:17:10.000Z | 2022-03-09T22:23:22.000Z | """Contains HelpCommand class."""
import discord
from discord.ext import commands
from offthedialbot import utils
def short(self, command, doc=True):
"""List the command as a one-liner."""
sig = self.get_command_signature(command) if not doc else f'{self.clean_prefix}{command}'
return f'... | 38.712963 | 165 | 0.577613 |
f8430cf263194ac34b0078e29e9eec8808714370 | 255 | py | Python | ex10.6.py | Dikaeinstein/Think_Python | 370cb5af25230ff20994206e2d8023fd1d4c2c74 | [
"MIT"
] | null | null | null | ex10.6.py | Dikaeinstein/Think_Python | 370cb5af25230ff20994206e2d8023fd1d4c2c74 | [
"MIT"
] | null | null | null | ex10.6.py | Dikaeinstein/Think_Python | 370cb5af25230ff20994206e2d8023fd1d4c2c74 | [
"MIT"
] | null | null | null | def is_anagram ( word1, word2 ):
'''
Returns True if word1 is 'anagram' of word2 or False if otherwise.
word1: str
word2: str
'''
return sorted(word1) == sorted(word2)
print(is_anagram("silence", "listen"))
| 19.615385 | 70 | 0.576471 |
f8433cd21799446edb00e1ccf569de9f138f3e9c | 3,017 | py | Python | learning/modules/resnet/resnet_conditional.py | esteng/guiding-multi-step | 3f0db0ba70b5851cc83878f4ed48cf82342a2ddf | [
"BSD-2-Clause"
] | null | null | null | learning/modules/resnet/resnet_conditional.py | esteng/guiding-multi-step | 3f0db0ba70b5851cc83878f4ed48cf82342a2ddf | [
"BSD-2-Clause"
] | null | null | null | learning/modules/resnet/resnet_conditional.py | esteng/guiding-multi-step | 3f0db0ba70b5851cc83878f4ed48cf82342a2ddf | [
"BSD-2-Clause"
] | null | null | null | import torch
from torch import nn as nn
from learning.modules.blocks import ResBlock, ResBlockConditional | 46.415385 | 86 | 0.552536 |
f8459ec6a60f2e71cf7db3476a3460a08e1783eb | 110 | wsgi | Python | cryptovote/cryptovote.wsgi | cryptovoting/cryptovote | b236cf031a8f9dfa5cca54ff45003313275a0fc8 | [
"MIT"
] | 8 | 2019-05-14T02:41:34.000Z | 2021-11-25T08:07:22.000Z | cryptovote/cryptovote.wsgi | cryptovoting/cryptovote | b236cf031a8f9dfa5cca54ff45003313275a0fc8 | [
"MIT"
] | null | null | null | cryptovote/cryptovote.wsgi | cryptovoting/cryptovote | b236cf031a8f9dfa5cca54ff45003313275a0fc8 | [
"MIT"
] | 2 | 2019-05-14T20:20:07.000Z | 2021-11-25T08:07:24.000Z | # Used for deploying on Apache with mod_wsgi
from cryptovote.app import create_app
application = create_app()
| 27.5 | 44 | 0.818182 |
f845c07a85b4945884e014911b73cc010e95c5c2 | 802 | py | Python | problems/203_remove-linked-list-elements.py | okuda-seminar/review_leetcode | 9774dbb85b836c3ebab4b24d77774ed05abb7a32 | [
"MIT"
] | null | null | null | problems/203_remove-linked-list-elements.py | okuda-seminar/review_leetcode | 9774dbb85b836c3ebab4b24d77774ed05abb7a32 | [
"MIT"
] | 170 | 2021-05-11T14:03:05.000Z | 2021-11-30T14:22:52.000Z | problems/203_remove-linked-list-elements.py | ryuji0123/review_leetcode | 9774dbb85b836c3ebab4b24d77774ed05abb7a32 | [
"MIT"
] | null | null | null | #
# @lc app=leetcode id=203 lang=python3
#
# [203] Remove Linked List Elements
#
# @lc code=start
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
# @lc code=end
| 23.588235 | 67 | 0.55985 |
f8470708904f8b5b4aa1dabc0a1785bf58a61c23 | 7,178 | py | Python | qpricesim/model_code/QLearningAgent.py | ToFeWe/qpricesim | 2d4312ed1d1356449f0c168835a0662b238a27bb | [
"MIT"
] | 2 | 2022-03-22T12:16:37.000Z | 2022-03-22T12:48:46.000Z | qpricesim/model_code/QLearningAgent.py | ToFeWe/qpricesim | 2d4312ed1d1356449f0c168835a0662b238a27bb | [
"MIT"
] | null | null | null | qpricesim/model_code/QLearningAgent.py | ToFeWe/qpricesim | 2d4312ed1d1356449f0c168835a0662b238a27bb | [
"MIT"
] | null | null | null | """
A module that defines the QLearning Agent for the pricing game as a class.
Note that we have a numba version (for speed) which inherits everything from
QLearningAgentBase.
"""
import numpy as np
from numba import float64
from numba import int32
from numba import njit
from numba.experimental import jitclass
from .... | 31.621145 | 97 | 0.633185 |
f848ba579a50c6fd3ee1c43bc3d139711769e3be | 2,825 | py | Python | Code/Test Code/UI Tests/move.py | mwyoung/Cornhole-Robot | 830289fa30619ccec634b84b7cd81177e6b7740c | [
"MIT"
] | null | null | null | Code/Test Code/UI Tests/move.py | mwyoung/Cornhole-Robot | 830289fa30619ccec634b84b7cd81177e6b7740c | [
"MIT"
] | null | null | null | Code/Test Code/UI Tests/move.py | mwyoung/Cornhole-Robot | 830289fa30619ccec634b84b7cd81177e6b7740c | [
"MIT"
] | null | null | null | #!/usr/bin/python
# with help from teleop_keyboard.py,
# https://github.com/ros-teleop/teleop_twist_keyboard/blob/master/teleop_twist_keyboard.py
# Graylin Trevor Jay and Austin Hendrix, BSD licensed
import roslib; #roslib.load_manifest('teleop_move')
import rospy
from geometry_msgs.msg import Twist
import sys, ... | 25 | 92 | 0.524602 |
f84a7601115fccffa87d1679d8be58c1f83890a1 | 1,561 | py | Python | stanCode_Projects/my_photoshop/shrink.py | wilson51678/sc-projects | a4b9a0c542449372181f6bd20d4ad81b87bfcb46 | [
"MIT"
] | null | null | null | stanCode_Projects/my_photoshop/shrink.py | wilson51678/sc-projects | a4b9a0c542449372181f6bd20d4ad81b87bfcb46 | [
"MIT"
] | null | null | null | stanCode_Projects/my_photoshop/shrink.py | wilson51678/sc-projects | a4b9a0c542449372181f6bd20d4ad81b87bfcb46 | [
"MIT"
] | null | null | null | """
File: shrink.py
ame: Wilson Wang 2020/08/05
-------------------------------
Create a new "out" image half the width and height of the original.
Set pixels at x=0 1 2 3 in out , from x=0 2 4 6 in original,
and likewise in the y direction.
"""
from simpleimage import SimpleImage
def shrink(filename):
... | 31.857143 | 95 | 0.632287 |
f84a986b558a36ee9782c5da91c77b0601aa7b43 | 15,349 | py | Python | src/genie/libs/parser/iosxe/show_ip_dhcp.py | komurzak-cisco/genieparser | e6cd6bb133bab7260b2b82da198fd14a4dec66c7 | [
"Apache-2.0"
] | 1 | 2021-07-26T02:56:27.000Z | 2021-07-26T02:56:27.000Z | src/genie/libs/parser/iosxe/show_ip_dhcp.py | zhangineer/genieparser | d6abcb49bf6d39092d835d9490d817452920ae98 | [
"Apache-2.0"
] | null | null | null | src/genie/libs/parser/iosxe/show_ip_dhcp.py | zhangineer/genieparser | d6abcb49bf6d39092d835d9490d817452920ae98 | [
"Apache-2.0"
] | null | null | null | """
show ip dhcp database
show ip dhcp snooping database
show ip dhcp snooping database detail
"""
# Python
import re
# Metaparser
from genie.metaparser import MetaParser
from genie.metaparser.util.schemaengine import (Schema, Any, Optional,
Or, And, Default, Use)
# Pa... | 37.436585 | 133 | 0.485699 |
f84ba2d7e5aa592c0ac62dbc711d229b2f13adeb | 848 | py | Python | vpc_hyp2/Createservers.py | dhanraj-vedanth/IaaS_VPC_CDN | 262dbc7db63d5e76398dadc8015256fb37986e36 | [
"MIT"
] | null | null | null | vpc_hyp2/Createservers.py | dhanraj-vedanth/IaaS_VPC_CDN | 262dbc7db63d5e76398dadc8015256fb37986e36 | [
"MIT"
] | null | null | null | vpc_hyp2/Createservers.py | dhanraj-vedanth/IaaS_VPC_CDN | 262dbc7db63d5e76398dadc8015256fb37986e36 | [
"MIT"
] | null | null | null | import os
import sys
import json
import ipaddress
import paramiko
br=sys.argv[1]
r=sys.argv[2]
IP=sys.argv[3]
func_createcont(br,r,IP)
| 33.92 | 78 | 0.650943 |
f84d7afc084777032cfb27a9f3d492736584d51d | 1,051 | py | Python | backend/flaskr/__init__.py | DakyungAndEunji/2021-ICE-Capstone-Project | 71761bf66bd170eae48a8084331ed1d00f9c184b | [
"MIT"
] | 1 | 2021-05-11T04:08:58.000Z | 2021-05-11T04:08:58.000Z | backend/flaskr/__init__.py | DakyungAndEunji/2021-ICE-Capstone-Project | 71761bf66bd170eae48a8084331ed1d00f9c184b | [
"MIT"
] | 11 | 2021-04-06T15:22:47.000Z | 2021-06-01T05:13:43.000Z | backend/flaskr/__init__.py | DakyungAndEunji/2021-ICE-Capstone-Project | 71761bf66bd170eae48a8084331ed1d00f9c184b | [
"MIT"
] | null | null | null | ### flaskr/__init__.py
import os
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy() | 26.948718 | 104 | 0.698382 |
f84fd6a36061acc80024ef6237230dcd9e8feabc | 7,228 | py | Python | backend/ec2.py | yubinhong/AutoAws | 92a3be4ba4ed582536af9eeaf5b5fbd5cee1035d | [
"MIT"
] | 1 | 2020-02-21T07:40:46.000Z | 2020-02-21T07:40:46.000Z | backend/ec2.py | yubinhong/AutoAws | 92a3be4ba4ed582536af9eeaf5b5fbd5cee1035d | [
"MIT"
] | null | null | null | backend/ec2.py | yubinhong/AutoAws | 92a3be4ba4ed582536af9eeaf5b5fbd5cee1035d | [
"MIT"
] | null | null | null | import boto3
import time
if __name__ == "__main__":
ec2 = AwsEc2("", "")
res = ec2.get_instance_by_resource('xxxxxx')
for i in res:
print(i.placement)
| 34.419048 | 119 | 0.445075 |
f851380879e61799e28a7ffd91239a32f370bf71 | 2,299 | py | Python | control/voiceControl.py | Lluxent/CorporateClashUtility | 36c5f724fb8e0050aab2b3a0bfb02c5b5d0c6272 | [
"MIT"
] | 2 | 2021-03-08T02:30:58.000Z | 2021-03-17T12:57:33.000Z | control/voiceControl.py | Lluxent/CorporateClashUtility | 36c5f724fb8e0050aab2b3a0bfb02c5b5d0c6272 | [
"MIT"
] | null | null | null | control/voiceControl.py | Lluxent/CorporateClashUtility | 36c5f724fb8e0050aab2b3a0bfb02c5b5d0c6272 | [
"MIT"
] | null | null | null | import control
import speech_recognition as sr
def recognize_speech_from_mic(recognizer, microphone):
"""Transcribe speech from recorded from `microphone`.
Returns a dictionary with three keys:
"success": a boolean indicating whether or not the API request was
successful
"error": `Non... | 33.808824 | 104 | 0.653763 |
f85295b6cbccfde4504d51121948d6ed5ff3e3c4 | 6,721 | py | Python | lookatweb/rules/objects.py | ivbeg/lookatweb | b98e3ebd29c00e2f718c3392bb31b7202aa82a99 | [
"BSD-3-Clause"
] | 2 | 2018-01-18T13:22:29.000Z | 2018-02-03T13:10:20.000Z | lookatweb/rules/objects.py | ivbeg/lookatweb | b98e3ebd29c00e2f718c3392bb31b7202aa82a99 | [
"BSD-3-Clause"
] | null | null | null | lookatweb/rules/objects.py | ivbeg/lookatweb | b98e3ebd29c00e2f718c3392bb31b7202aa82a99 | [
"BSD-3-Clause"
] | null | null | null | from .consts import *
# Object matching by classid
OBJECTS_CLSID_RULES = [
{'type' : RULETYPE_EQUAL, 'text' : 'clsid:D27CDB6E-AE6D-11cf-96B8-444553540000',
'entities' : [
{'name' : 'web:tech/flash'}
]
},
{'type' : RULETYPE_EQUAL, 'text' : 'clsid:d27cdb6e-ae6d-11cf-96b8-44455354... | 30.139013 | 112 | 0.494867 |
f856a06399d0483aa5762d750435935c90b3dd55 | 6,020 | py | Python | src/failprint/cli.py | pawamoy/woof | 5c8eccfe5c1343b5a399b5794c486b3c0de67c78 | [
"0BSD"
] | 6 | 2020-10-14T07:22:31.000Z | 2022-02-13T23:17:56.000Z | src/failprint/cli.py | pawamoy/woof | 5c8eccfe5c1343b5a399b5794c486b3c0de67c78 | [
"0BSD"
] | 10 | 2020-04-29T12:29:43.000Z | 2021-07-31T10:35:36.000Z | src/failprint/cli.py | pawamoy/woof | 5c8eccfe5c1343b5a399b5794c486b3c0de67c78 | [
"0BSD"
] | 1 | 2021-08-07T03:23:41.000Z | 2021-08-07T03:23:41.000Z | # Why does this file exist, and why not put this in `__main__`?
#
# You might be tempted to import things from `__main__` later,
# but that will cause problems: the code will get executed twice:
#
# - When you run `python -m failprint` python will execute
# `__main__.py` as a script. That means there won't be any
# ... | 36.707317 | 126 | 0.635382 |
f858848401df27fd04f2c1792b618ab879328af0 | 1,112 | py | Python | siqbal/siqbal/doctype/item_label/item_label.py | smehata/siqbal | 8b6a21fb63c050237593c49757065198c0e2c54a | [
"MIT"
] | 1 | 2021-08-07T12:48:02.000Z | 2021-08-07T12:48:02.000Z | siqbal/siqbal/doctype/item_label/item_label.py | smehata/siqbal | 8b6a21fb63c050237593c49757065198c0e2c54a | [
"MIT"
] | null | null | null | siqbal/siqbal/doctype/item_label/item_label.py | smehata/siqbal | 8b6a21fb63c050237593c49757065198c0e2c54a | [
"MIT"
] | 4 | 2021-01-16T06:14:58.000Z | 2022-02-07T06:36:41.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2020, RC and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
| 37.066667 | 116 | 0.732914 |
f859b964e5f9c3a181c35199baa7176223613982 | 1,308 | py | Python | www.py | MurphyWan/Python_Flask | 7ef61c8242b4edf05a1ce8c688564e7895017a76 | [
"MIT"
] | 1 | 2019-01-05T12:35:51.000Z | 2019-01-05T12:35:51.000Z | www.py | MurphyWan/Python_Flask | 7ef61c8242b4edf05a1ce8c688564e7895017a76 | [
"MIT"
] | null | null | null | www.py | MurphyWan/Python_Flask | 7ef61c8242b4edf05a1ce8c688564e7895017a76 | [
"MIT"
] | null | null | null | # coding:utf-8
# author:MurphyWan
# www.py
""" controller.py/index.py
from flask import Blueprint
route_index = Blueprint('index_page', __name__)
@route_index.route("/")
def index():
return "Hello World"
"""
from application import app
'''
'''
from web.interceptors.Authinterceptor import *
'''
url
'''
from ... | 29.727273 | 65 | 0.798165 |
f85a24e0d9a829e5ba4097a173e5c180ffe2795f | 1,410 | py | Python | Summarizing-Data-with-statistics-/code.py | Tushar23dhongade/ga-learner-dsmp-repo | cf5550a36d2f5d3a91940d7ac8a245d5040cd9d1 | [
"MIT"
] | null | null | null | Summarizing-Data-with-statistics-/code.py | Tushar23dhongade/ga-learner-dsmp-repo | cf5550a36d2f5d3a91940d7ac8a245d5040cd9d1 | [
"MIT"
] | null | null | null | Summarizing-Data-with-statistics-/code.py | Tushar23dhongade/ga-learner-dsmp-repo | cf5550a36d2f5d3a91940d7ac8a245d5040cd9d1 | [
"MIT"
] | null | null | null | # --------------
#Header files
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
#path of the data file- path
data=pd.read_csv(path)
data["Gender"].replace("-","Agender",inplace=True)
gender_count=data.Gender.value_counts()
gender_count.plot(kind="bar")
#Code starts here
# ---... | 20.434783 | 53 | 0.698582 |
f85c11db5b31e7e4088a63d0697d91e4986e3c85 | 6,962 | py | Python | soc/python/checkDB.py | idea-fasoc/fasoc | 5a1fc8cf980b24a48b17f4447f13fb50d49e366a | [
"MIT"
] | 48 | 2019-09-16T09:49:54.000Z | 2022-02-09T20:59:10.000Z | soc/python/checkDB.py | idea-fasoc/fasoc | 5a1fc8cf980b24a48b17f4447f13fb50d49e366a | [
"MIT"
] | 18 | 2019-10-15T04:17:35.000Z | 2021-05-25T00:12:52.000Z | soc/python/checkDB.py | idea-fasoc/fasoc | 5a1fc8cf980b24a48b17f4447f13fb50d49e366a | [
"MIT"
] | 8 | 2019-10-15T17:27:41.000Z | 2022-01-26T20:42:07.000Z | #!/usr/bin/env python3
#MIT License
#Copyright (c) 2018 The University of Michigan
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software and associated documentation files (the "Software"), to deal
#in the Software without restriction, including without limitation the rights
... | 44.063291 | 418 | 0.668342 |
f85e27ad10e7814b11be2c93c0c4dca76deac4ea | 2,222 | py | Python | Piquant/Debug/script/matlplotlib_pyplot实操代码.py | QuantPengPeng/Piquant | 88047831a3ce4eb5b67fc68c752243084ba90199 | [
"MIT"
] | 9 | 2019-04-07T06:17:50.000Z | 2021-07-11T14:31:36.000Z | Piquant/Debug/script/matlplotlib_pyplot实操代码.py | QuantPengPeng/Piquant | 88047831a3ce4eb5b67fc68c752243084ba90199 | [
"MIT"
] | 1 | 2019-05-17T01:57:07.000Z | 2019-11-19T01:57:05.000Z | Piquant/Debug/script/matlplotlib_pyplot实操代码.py | QuantPengPeng/Piquant | 88047831a3ce4eb5b67fc68c752243084ba90199 | [
"MIT"
] | 6 | 2019-04-15T07:17:26.000Z | 2019-08-04T02:55:36.000Z |
# coding: utf-8
# In[35]:
import matplotlib.pyplot as plt
from pylab import *
import numpy as np
main_image=plt.figure(figsize=(10,10))
subplots_adjust(hspace=0.3,wspace=0.3)#
#1-
x_0=np.linspace(0,2*np.pi,20) #X
sub_image_1=plt.subplot(2,2,1)
plt.xlabel('X value')
plt.ylabel('Sin value')
plt.grid(True)
sub_image... | 32.676471 | 165 | 0.729973 |
f85ead752c9700ddc5fb73af13b5441235631493 | 2,190 | py | Python | gencode/python/udmi/schema/event_audit.py | johnrandolph/udmi | 5e9de32fc71de8d006cda2eba4d3372eaf24c7c0 | [
"Apache-2.0"
] | 1 | 2022-02-24T22:57:37.000Z | 2022-02-24T22:57:37.000Z | gencode/python/udmi/schema/event_audit.py | johnrandolph/udmi | 5e9de32fc71de8d006cda2eba4d3372eaf24c7c0 | [
"Apache-2.0"
] | 5 | 2022-02-24T21:32:24.000Z | 2022-03-23T15:52:25.000Z | gencode/python/udmi/schema/event_audit.py | johnrandolph/udmi | 5e9de32fc71de8d006cda2eba4d3372eaf24c7c0 | [
"Apache-2.0"
] | null | null | null | """Generated class for event_audit.json"""
from .common import Entry
| 23.548387 | 77 | 0.648402 |
f85f1ff5fdc55f6eaa86305ff1243afdf2c3c231 | 7,624 | py | Python | colour/models/rgb.py | canavandl/colour | a453cd37b6135a9092d5ea5b2aafb8d19134bdff | [
"BSD-3-Clause"
] | 1 | 2019-06-27T11:32:48.000Z | 2019-06-27T11:32:48.000Z | colour/models/rgb.py | canavandl/colour | a453cd37b6135a9092d5ea5b2aafb8d19134bdff | [
"BSD-3-Clause"
] | null | null | null | colour/models/rgb.py | canavandl/colour | a453cd37b6135a9092d5ea5b2aafb8d19134bdff | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
RGB Colourspace Transformations
===============================
Defines the *RGB* colourspace transformations:
- :func:`XYZ_to_RGB`
- :func:`RGB_to_XYZ`
- :func:`RGB_to_RGB`
See Also
--------
`RGB Colourspaces IPython Notebook
<http://nbviewer.ipython.org/gith... | 31.766667 | 115 | 0.613458 |
f85f4b7c7b491177a0f091a1844ac24655fff102 | 1,768 | py | Python | tests/assign_folds_test.py | turku-rad-ai/pe-detection | d9b49800de45a40030db72db65f4806b23d97a63 | [
"Apache-2.0"
] | null | null | null | tests/assign_folds_test.py | turku-rad-ai/pe-detection | d9b49800de45a40030db72db65f4806b23d97a63 | [
"Apache-2.0"
] | null | null | null | tests/assign_folds_test.py | turku-rad-ai/pe-detection | d9b49800de45a40030db72db65f4806b23d97a63 | [
"Apache-2.0"
] | null | null | null | from typing import List
import pandas as pd
import pytest
from preprocessing.assign_folds import assign_folds
testdata = [
[
[
"patient1",
"patient2",
"patient3",
"patient4",
"patient5",
"patient6",
"patient7",
... | 24.901408 | 99 | 0.526584 |
f85fde926cda35a9fc74acc2b0acaa097f44bc32 | 456 | py | Python | src/apps/notes/models.py | mentalnoteapp/backend-django-rest-framework | 82d95fbe1aeb93b85105bf7ae94a3c13534f72cb | [
"MIT"
] | null | null | null | src/apps/notes/models.py | mentalnoteapp/backend-django-rest-framework | 82d95fbe1aeb93b85105bf7ae94a3c13534f72cb | [
"MIT"
] | null | null | null | src/apps/notes/models.py | mentalnoteapp/backend-django-rest-framework | 82d95fbe1aeb93b85105bf7ae94a3c13534f72cb | [
"MIT"
] | null | null | null | from django.contrib.auth.models import User
from django.db import models
from apps.tags.models import Tag
| 26.823529 | 72 | 0.736842 |
f86011337ef051c071ef0fd89e5bf4792bb54439 | 1,116 | py | Python | tests/test_main.py | dadaloop82/viseron | 1c6c446a4856e16c0e2ed6b9323d169fbdcae20f | [
"MIT"
] | 399 | 2020-08-31T21:13:07.000Z | 2022-03-31T18:54:26.000Z | tests/test_main.py | dadaloop82/viseron | 1c6c446a4856e16c0e2ed6b9323d169fbdcae20f | [
"MIT"
] | 157 | 2020-09-01T18:59:56.000Z | 2022-03-25T07:14:19.000Z | tests/test_main.py | dadaloop82/viseron | 1c6c446a4856e16c0e2ed6b9323d169fbdcae20f | [
"MIT"
] | 53 | 2020-09-01T07:35:59.000Z | 2022-03-28T23:21:16.000Z | """Tests for __main__.py."""
# import logging
from unittest.mock import MagicMock, patch
import pytest
import viseron.__main__
def test_init(simple_config, mocked_viseron):
"""Test init."""
viseron.__main__.main()
# viseron.__main__.LOGGER.info("testing")
with patch.object(viseron.__main__, "main",... | 27.219512 | 74 | 0.606631 |
f8626522d55b3754f7c28ddbfd44245ded575b28 | 11,950 | py | Python | ironicclient/tests/unit/v1/test_allocation.py | ljmcgann/python-ironicclient | a5485dc29fe551e4cb5feaad52cd93d67b0ab53e | [
"Apache-2.0"
] | 41 | 2015-01-29T20:10:48.000Z | 2022-01-26T10:04:28.000Z | ironicclient/tests/unit/v1/test_allocation.py | ljmcgann/python-ironicclient | a5485dc29fe551e4cb5feaad52cd93d67b0ab53e | [
"Apache-2.0"
] | null | null | null | ironicclient/tests/unit/v1/test_allocation.py | ljmcgann/python-ironicclient | a5485dc29fe551e4cb5feaad52cd93d67b0ab53e | [
"Apache-2.0"
] | 46 | 2015-01-19T17:46:52.000Z | 2021-12-19T01:22:47.000Z | # 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 law or agreed to in writing, software
# d... | 33.194444 | 78 | 0.573138 |
f8629eacf541222ae1970586720f609c2d762f08 | 1,105 | py | Python | api/routes/auth.py | rit-sse/api | 4dbd04db98284225510d9ae8249514be80d4706a | [
"MIT"
] | 1 | 2015-07-17T19:20:45.000Z | 2015-07-17T19:20:45.000Z | api/routes/auth.py | rit-sse/api | 4dbd04db98284225510d9ae8249514be80d4706a | [
"MIT"
] | 33 | 2015-07-18T02:31:51.000Z | 2015-08-04T02:07:41.000Z | api/routes/auth.py | rit-sse/api | 4dbd04db98284225510d9ae8249514be80d4706a | [
"MIT"
] | 7 | 2015-07-17T16:29:18.000Z | 2021-08-31T01:03:53.000Z | from flask import session, redirect, url_for
from flask.json import jsonify
from api import app, oauth
from api import models
| 27.625 | 83 | 0.656109 |
f863fdd49bdc9fc91c5a6863a1a6f2c9cb1fed2c | 418 | py | Python | mybatis/column_generator.py | xliangwu/com.caveup.machine_learn | 793131c4767f45d468a813752c07d02f623a7b99 | [
"Apache-2.0"
] | 1 | 2018-09-19T06:27:14.000Z | 2018-09-19T06:27:14.000Z | mybatis/column_generator.py | xliangwu/com.caveup.machine_learn | 793131c4767f45d468a813752c07d02f623a7b99 | [
"Apache-2.0"
] | null | null | null | mybatis/column_generator.py | xliangwu/com.caveup.machine_learn | 793131c4767f45d468a813752c07d02f623a7b99 | [
"Apache-2.0"
] | null | null | null |
if __name__ == '__main__':
column_generator()
| 34.833333 | 91 | 0.586124 |
f86413e599720995225d5a002a0228bfbc9b7ed7 | 22,250 | py | Python | ttslab/voices/afrikaans_default.py | jkleczar/ttslab | 33fe0c3f88c1533816b2602b52e4162760d9c5f0 | [
"BSD-3-Clause"
] | null | null | null | ttslab/voices/afrikaans_default.py | jkleczar/ttslab | 33fe0c3f88c1533816b2602b52e4162760d9c5f0 | [
"BSD-3-Clause"
] | null | null | null | ttslab/voices/afrikaans_default.py | jkleczar/ttslab | 33fe0c3f88c1533816b2602b52e4162760d9c5f0 | [
"BSD-3-Clause"
] | 1 | 2019-02-25T10:27:41.000Z | 2019-02-25T10:27:41.000Z | # -*- coding: utf-8 -*-
""" This file contains language-specific implementation for an
Afrikaans voice.
The idea is that this file contains subclassed Voice and Phoneset
implementations. This package ttslab/voices may then also contain
speaker specific implementations e.g. "afrikaans_SPEAKER.py"
"""
fr... | 52.352941 | 177 | 0.465573 |
f865843e860d96b7840567719ae0919a197d73ae | 144,813 | py | Python | scripts/Iodide/project_misc.py | tsherwen/sparse2spatial | 6f5240c7641ad7a894476672b78c8184c514bf87 | [
"MIT"
] | 1 | 2020-01-14T21:40:29.000Z | 2020-01-14T21:40:29.000Z | scripts/Iodide/project_misc.py | tsherwen/sparse2spatial | 6f5240c7641ad7a894476672b78c8184c514bf87 | [
"MIT"
] | null | null | null | scripts/Iodide/project_misc.py | tsherwen/sparse2spatial | 6f5240c7641ad7a894476672b78c8184c514bf87 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
This module contains analysis done for the Ocean iodide (Oi!) project
This includes presentation at conferences etc...
"""
import numpy as np
import pandas as pd
import sparse2spatial as s2s
import sparse2spatial.utils as utils
import matplotlib
import matplotlib.pyplot... | 38.048607 | 340 | 0.57818 |
f8675dfd4e125d168dde1ba9e29185bd73af107b | 4,331 | py | Python | writer/cashData/csvUtils.py | sifarone/gce_k8s_deployment | f596e17b9d0263ae24c61ebba9925af4719b4306 | [
"MIT"
] | null | null | null | writer/cashData/csvUtils.py | sifarone/gce_k8s_deployment | f596e17b9d0263ae24c61ebba9925af4719b4306 | [
"MIT"
] | null | null | null | writer/cashData/csvUtils.py | sifarone/gce_k8s_deployment | f596e17b9d0263ae24c61ebba9925af4719b4306 | [
"MIT"
] | 1 | 2021-01-24T17:07:37.000Z | 2021-01-24T17:07:37.000Z | import pandas as pd
from . import cashUtils as utils
| 36.091667 | 93 | 0.484184 |
f8683ceaf922240bb0a9b5391ea9deb94effc25d | 253 | py | Python | programming/python_in_high_performance_computing/cyt_modules/cyt_setup.py | carlosevmoura/courses-notes | dc938625dd79267f9a262e7e6939205f63dda885 | [
"MIT"
] | null | null | null | programming/python_in_high_performance_computing/cyt_modules/cyt_setup.py | carlosevmoura/courses-notes | dc938625dd79267f9a262e7e6939205f63dda885 | [
"MIT"
] | null | null | null | programming/python_in_high_performance_computing/cyt_modules/cyt_setup.py | carlosevmoura/courses-notes | dc938625dd79267f9a262e7e6939205f63dda885 | [
"MIT"
] | null | null | null | from distutils.core import Extension, setup
from Cython.Build import cythonize
from Cython.Compiler import Options
Options.docstrings = False
ext = Extension(name="cyt_module", sources=["cyt_module.pyx"])
setup(
ext_modules = cythonize(ext),
)
| 18.071429 | 62 | 0.766798 |
f86cbd077218ced0fe45ca2c5ef698554acc3ecd | 18,995 | py | Python | server_code.py | johnr0/TaleBrush-backend | f7429e10f328087444647d5dc6bf1f3a22ccfcce | [
"BSD-3-Clause"
] | 1 | 2022-02-25T18:36:16.000Z | 2022-02-25T18:36:16.000Z | server_code.py | johnr0/Generative-Input-NLP | 9607cf2db2aa29f10d4b2179e25dc5bfc9b00288 | [
"BSD-3-Clause"
] | null | null | null | server_code.py | johnr0/Generative-Input-NLP | 9607cf2db2aa29f10d4b2179e25dc5bfc9b00288 | [
"BSD-3-Clause"
] | null | null | null | from flask import request, url_for
from flask_api import FlaskAPI, status, exceptions
from flask_cors import CORS, cross_origin
import torch
import json
import numpy as np
import torch
from modeling_gptneo import GPTNeoForCausalLM
from modeling_gpt2 import GPT2LMHeadModel
from transformers import (
GPTNeoConfig... | 41.025918 | 140 | 0.588944 |
f86d0468889ac52f5ce1040fe21e913a6db95f94 | 20,391 | py | Python | pymatflow/abinit/post/bands.py | DeqiTang/pymatflow | bd8776feb40ecef0e6704ee898d9f42ded3b0186 | [
"MIT"
] | 6 | 2020-03-06T16:13:08.000Z | 2022-03-09T07:53:34.000Z | pymatflow/abinit/post/bands.py | DeqiTang/pymatflow | bd8776feb40ecef0e6704ee898d9f42ded3b0186 | [
"MIT"
] | 1 | 2021-10-02T02:23:08.000Z | 2021-11-08T13:29:37.000Z | pymatflow/abinit/post/bands.py | DeqiTang/pymatflow | bd8776feb40ecef0e6704ee898d9f42ded3b0186 | [
"MIT"
] | 1 | 2021-07-10T16:28:14.000Z | 2021-07-10T16:28:14.000Z | """
post_bands:
post_bands extract data from static-o_DS3_EBANDS.agr and it will build
the kpoints length: xcoord_k from the high symmetry line and the corresponding
basis for reciprocal space.
b1 = 1 / a1, b2 = 1 / a2 and b3 = 1 / a3.
"""
import os
import numpy as np
import matplotlib.pypl... | 51.492424 | 142 | 0.529106 |
f86d356d798352c0185a9ec2592dc21b131a7ed8 | 337 | py | Python | logconfig.py | Erick-Faster/gerbot-api | 36d723c7e9df525b99fd4eff2da318e9046e7734 | [
"Apache-2.0"
] | null | null | null | logconfig.py | Erick-Faster/gerbot-api | 36d723c7e9df525b99fd4eff2da318e9046e7734 | [
"Apache-2.0"
] | null | null | null | logconfig.py | Erick-Faster/gerbot-api | 36d723c7e9df525b99fd4eff2da318e9046e7734 | [
"Apache-2.0"
] | null | null | null |
import logging
import logging.config
logging.config.fileConfig('./instance/logging.conf')
# create logger
logger = logging.getLogger('Cognitive-API')
# 'application' code
'''
logger.debug('debug message')
logger.info('info message')
logger.warning('warn message')
logger.error('error message')
logger.critical('criti... | 19.823529 | 52 | 0.756677 |
f86db685725dd6affbd6d16efda49f2dd028eb93 | 1,735 | py | Python | tests/app/test_app_service.py | 0604hx/buter | 670584e7c39c985192684c9f68f52fc69c57049c | [
"MIT"
] | 2 | 2017-11-21T10:00:47.000Z | 2018-02-02T04:40:09.000Z | tests/app/test_app_service.py | 0604hx/buter | 670584e7c39c985192684c9f68f52fc69c57049c | [
"MIT"
] | 1 | 2018-10-31T06:56:22.000Z | 2018-11-01T00:58:16.000Z | tests/app/test_app_service.py | 0604hx/buter | 670584e7c39c985192684c9f68f52fc69c57049c | [
"MIT"
] | 5 | 2017-12-14T01:07:21.000Z | 2020-04-29T02:21:46.000Z | import json
import unittest
from buter.app.services import load_from_file, detect_app_name
from buter.server import docker
from buter.util.Utils import unzip
from config import getConfig
if __name__ == '__main__':
unittest.main()
| 30.982143 | 109 | 0.609222 |
f86f8495a3b204ecbbc51199ca2187879cae3c8e | 397 | py | Python | code/level6.py | ab300819/PythonChallenge | 4bcc91f8b11d0a5ec5720137bef55eec6b1f7581 | [
"Apache-2.0"
] | null | null | null | code/level6.py | ab300819/PythonChallenge | 4bcc91f8b11d0a5ec5720137bef55eec6b1f7581 | [
"Apache-2.0"
] | null | null | null | code/level6.py | ab300819/PythonChallenge | 4bcc91f8b11d0a5ec5720137bef55eec6b1f7581 | [
"Apache-2.0"
] | null | null | null | # -*-coding:utf-8-*-
__author__ = 'Mason'
import re
import zipfile
z = zipfile.ZipFile('channel.zip', mode='r')
number = '90052'
comments = []
while True:
text = z.read(number + '.txt')
number = re.findall('([0-9]+)', text)
print number
try:
number = number[0]
comments.append(z.getinfo... | 19.85 | 59 | 0.594458 |
f870be2bd112b621b44e0d7642b1d268ee31edf5 | 728 | py | Python | subscriptions/subscription.py | iamsharmaapoorv/availability-checker | 02fc28f495140f74fa38c02a3e4a5111e196151f | [
"MIT"
] | null | null | null | subscriptions/subscription.py | iamsharmaapoorv/availability-checker | 02fc28f495140f74fa38c02a3e4a5111e196151f | [
"MIT"
] | null | null | null | subscriptions/subscription.py | iamsharmaapoorv/availability-checker | 02fc28f495140f74fa38c02a3e4a5111e196151f | [
"MIT"
] | null | null | null | from products.product import Product
from notifications.notification import Notification
from clients.client import Client
| 33.090909 | 67 | 0.696429 |
f871c0ad8b9204fef05550a10cc4ceb534586079 | 654 | py | Python | joi2008yo/joi2008yo_e.py | Vermee81/practice-coding-contests | 78aada60fa75f208ee0eef337b33b27b1c260d18 | [
"MIT"
] | null | null | null | joi2008yo/joi2008yo_e.py | Vermee81/practice-coding-contests | 78aada60fa75f208ee0eef337b33b27b1c260d18 | [
"MIT"
] | null | null | null | joi2008yo/joi2008yo_e.py | Vermee81/practice-coding-contests | 78aada60fa75f208ee0eef337b33b27b1c260d18 | [
"MIT"
] | null | null | null | # https://atcoder.jp/contests/joi2008yo/tasks/joi2008yo_e
R, C = list(map(int, input().split()))
senbei_pos = []
ans = 0
for _ in range(R):
pos = list(map(int, input().split()))
senbei_pos.append(pos)
for bit in range(2**R):
total = 0
copied_pos = senbei_pos[:]
# R101020
flip_row_pos = list(for... | 29.727273 | 66 | 0.59633 |
f8724ce5a5705922dd55fcf91b7512b691dc8ab7 | 2,850 | py | Python | yttgmp3.py | RomaniukVadim/ytmp3_bot | ce3cc3cfa2098257e4ec22c019c8c33d31a73128 | [
"WTFPL"
] | 1 | 2018-03-27T00:08:26.000Z | 2018-03-27T00:08:26.000Z | yttgmp3.py | RomaniukVadim/ytmp3_bot | ce3cc3cfa2098257e4ec22c019c8c33d31a73128 | [
"WTFPL"
] | null | null | null | yttgmp3.py | RomaniukVadim/ytmp3_bot | ce3cc3cfa2098257e4ec22c019c8c33d31a73128 | [
"WTFPL"
] | 1 | 2020-06-04T02:49:20.000Z | 2020-06-04T02:49:20.000Z | #!/usr/env python3
import requests
import os
import glob
import telegram
from time import sleep
token = "token"
bot = telegram.Bot(token=token)
# , bash youtube-dl -x --audio-format mp3 <link>, mp3
mp3_bot = BotHandler(token)
if __name__ == '__main__':
try:
main()
except KeyboardInter... | 30.978261 | 138 | 0.597895 |
f873639a13e98ee3a4151d1be3542d91c969ac64 | 530 | py | Python | djangobmf/contrib/team/views.py | dmatthes/django-bmf | 3a97167de7841b13f1ddd23b33ae65e98dc49dfd | [
"BSD-3-Clause"
] | 1 | 2020-05-11T08:00:49.000Z | 2020-05-11T08:00:49.000Z | djangobmf/contrib/team/views.py | dmatthes/django-bmf | 3a97167de7841b13f1ddd23b33ae65e98dc49dfd | [
"BSD-3-Clause"
] | null | null | null | djangobmf/contrib/team/views.py | dmatthes/django-bmf | 3a97167de7841b13f1ddd23b33ae65e98dc49dfd | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python
# ex:set fileencoding=utf-8:
from __future__ import unicode_literals
from djangobmf.views import ModuleCreateView
from djangobmf.views import ModuleUpdateView
from djangobmf.views import ModuleDetailView
from .forms import BMFTeamUpdateForm
from .forms import BMFTeamCreateForm
| 22.083333 | 44 | 0.828302 |
f873731d39e77de62eb053df48244e290afd54de | 1,038 | py | Python | py/LSS/imaging/veto_masks/lrg/lrg_wise_mask_v1.py | echaussidon/LSS | 205ce48a288acacbd41358e6d0215f4aff355049 | [
"BSD-3-Clause"
] | null | null | null | py/LSS/imaging/veto_masks/lrg/lrg_wise_mask_v1.py | echaussidon/LSS | 205ce48a288acacbd41358e6d0215f4aff355049 | [
"BSD-3-Clause"
] | null | null | null | py/LSS/imaging/veto_masks/lrg/lrg_wise_mask_v1.py | echaussidon/LSS | 205ce48a288acacbd41358e6d0215f4aff355049 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import division, print_function
import sys, os, glob, time, warnings, gc
# import matplotlib.pyplot as plt
import numpy as np
from astropy.table import Table, vstack, hstack
import fitsio
from astropy.io import fits
from scipy.interpolate import interp1d
output_path = '/global/cfs/cdirs/desi/users/ro... | 33.483871 | 116 | 0.706166 |
f87515fbbdca8d3d26053fb65bc3d5ece4d188b8 | 290 | py | Python | cursoDePythonNaPratica/aula18 - telegram.py | wemerson-henrique/kivy | 3cb6061a2d19b01e86c3738206f30c8a853763d4 | [
"MIT"
] | null | null | null | cursoDePythonNaPratica/aula18 - telegram.py | wemerson-henrique/kivy | 3cb6061a2d19b01e86c3738206f30c8a853763d4 | [
"MIT"
] | null | null | null | cursoDePythonNaPratica/aula18 - telegram.py | wemerson-henrique/kivy | 3cb6061a2d19b01e86c3738206f30c8a853763d4 | [
"MIT"
] | null | null | null | import telepot
# No criei um bot no telegram ainda, dessa forma este codigo no funciona
# TODO: Criar bot no telegram e pegar chave
bot = telepot.Bot("Aqui vai minha chave do Telegram")
bot.message_loop(recebendoMsg)
while True:
pass | 20.714286 | 74 | 0.741379 |
f875e138fd658884c3bfbd92197a369b04338ea0 | 4,590 | py | Python | cembot/languages/EN.py | niksart/cembot | 99ec3067bde5b8b72053dd18caa18742afba6a5e | [
"MIT"
] | null | null | null | cembot/languages/EN.py | niksart/cembot | 99ec3067bde5b8b72053dd18caa18742afba6a5e | [
"MIT"
] | 15 | 2018-08-30T13:56:27.000Z | 2021-07-21T08:58:03.000Z | cembot/languages/EN.py | niksart/cembot | 99ec3067bde5b8b72053dd18caa18742afba6a5e | [
"MIT"
] | null | null | null | # Support for english (EN) language
helper_commands = {
"AUTHORIZE": "Usage:\n/authorize @<username>\n/authorize <user id>",
"DEAUTHORIZE": "Usage:\n/deauthorize @<username>\n/deauthorize <user id>",
"GIVEN": "Usage:\n/given <amount> @<username> <description>",
"SPENT": "Usage:\n/spent <amount> <description>.\nPay... | 49.891304 | 144 | 0.70305 |