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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c8f400891a861906013fd78e255d4aff2e9b28fa | 5,840 | py | Python | extractexamples.py | afcarl/contra | a82d14342b242cba7a8298d54aa0dabd9d77269d | [
"0BSD"
] | 1 | 2019-04-22T16:56:07.000Z | 2019-04-22T16:56:07.000Z | extractexamples.py | afcarl/contra | a82d14342b242cba7a8298d54aa0dabd9d77269d | [
"0BSD"
] | null | null | null | extractexamples.py | afcarl/contra | a82d14342b242cba7a8298d54aa0dabd9d77269d | [
"0BSD"
] | null | null | null | #!/usr/bin/env python
# Extracts examples of given strings with context in a TAB-separated
# field format from given text documents.
from __future__ import with_statement
import sys
import re
from os import path
options = None
if __name__ == "__main__":
sys.exit(main(sys.argv))
| 37.677419 | 175 | 0.55976 |
c8f61ba84ff26314734e24f05cd833da5e3ee801 | 2,813 | py | Python | pymtl/tools/translation/verilog_bug_test.py | belang/pymtl | 4a96738724b007cbd684753aed0ac3de5b5dbebb | [
"BSD-3-Clause"
] | 206 | 2015-01-05T21:53:56.000Z | 2022-03-14T08:04:49.000Z | pymtl/tools/translation/verilog_bug_test.py | belang/pymtl | 4a96738724b007cbd684753aed0ac3de5b5dbebb | [
"BSD-3-Clause"
] | 84 | 2015-01-25T19:57:33.000Z | 2021-05-11T15:46:56.000Z | pymtl/tools/translation/verilog_bug_test.py | belang/pymtl | 4a96738724b007cbd684753aed0ac3de5b5dbebb | [
"BSD-3-Clause"
] | 99 | 2015-02-17T17:43:44.000Z | 2022-02-14T17:58:18.000Z | #=======================================================================
# verilog_bug_test.py
#=======================================================================
import pytest
from pymtl import *
from exceptions import VerilatorCompileError
pytestmark = requires_verilator
#-------------------------------... | 29 | 72 | 0.460363 |
c8f667d55a6083981558407ab139318c270d5ca3 | 436 | py | Python | library/TraverseDirectory-M2.py | remytanx/python3-created-in-github | 83b3dd0f36da6fc4df7c1cc37cac12f178f985a3 | [
"MIT"
] | null | null | null | library/TraverseDirectory-M2.py | remytanx/python3-created-in-github | 83b3dd0f36da6fc4df7c1cc37cac12f178f985a3 | [
"MIT"
] | null | null | null | library/TraverseDirectory-M2.py | remytanx/python3-created-in-github | 83b3dd0f36da6fc4df7c1cc37cac12f178f985a3 | [
"MIT"
] | null | null | null | import os
# Get the list of all files with a specific extension
# In this example, we will take a path of a directory and try to
# list all the files, with a specific extension .py here,
# in the directory and its sub-directories recursively.
path = r'C:\Users\10900225\Documents\Witch\BTX\Workspaces\Library'
for r... | 33.538462 | 66 | 0.733945 |
c8f71840564fdc1ff2e1787b21b4d5173407d801 | 1,509 | py | Python | Modules/carlosma7/wizard/create_appointment.py | Carlosma7/Odoo | c234fcc18d15d4d8369e237286bee610fd76ceee | [
"CC0-1.0"
] | null | null | null | Modules/carlosma7/wizard/create_appointment.py | Carlosma7/Odoo | c234fcc18d15d4d8369e237286bee610fd76ceee | [
"CC0-1.0"
] | null | null | null | Modules/carlosma7/wizard/create_appointment.py | Carlosma7/Odoo | c234fcc18d15d4d8369e237286bee610fd76ceee | [
"CC0-1.0"
] | null | null | null | #-*- coding: utf-8-*-
from odoo import api, fields, models, _
# Wizard class | 29.019231 | 97 | 0.686547 |
c8f838e818d81e237d9d5d8fa11595a921a6fae3 | 4,731 | py | Python | groups.py | davidmehren/udm_group_matrix | ae71feef4bf299588aa473c95e9073c7d2f5f23e | [
"MIT"
] | null | null | null | groups.py | davidmehren/udm_group_matrix | ae71feef4bf299588aa473c95e9073c7d2f5f23e | [
"MIT"
] | null | null | null | groups.py | davidmehren/udm_group_matrix | ae71feef4bf299588aa473c95e9073c7d2f5f23e | [
"MIT"
] | 1 | 2019-12-06T14:59:39.000Z | 2019-12-06T14:59:39.000Z | #!/bin/env python3
import re
from typing import List
import numpy as np
import matplotlib.pyplot as plt
filtered_users = ["join-backup", "join-slave", "ucs-sso"]
filtered_groups = ["computers", "dc backup hosts", "dc slave hosts"]
def read_groupdump():
_group_list = LDAPGroupList()
with open("groupdump.tx... | 31.125 | 106 | 0.581484 |
c8f87a26e0ea3211d6cafee5a76cf221fb9382c8 | 107,098 | py | Python | src/dbobjects.py | 211tbc/synthesis | 55b4dcb85b7a2ed5fbc46b1740c8ca0ab80248a4 | [
"Unlicense"
] | null | null | null | src/dbobjects.py | 211tbc/synthesis | 55b4dcb85b7a2ed5fbc46b1740c8ca0ab80248a4 | [
"Unlicense"
] | 7 | 2016-08-12T15:12:43.000Z | 2020-06-07T03:19:13.000Z | src/dbobjects.py | 211tbc/synthesis | 55b4dcb85b7a2ed5fbc46b1740c8ca0ab80248a4 | [
"Unlicense"
] | null | null | null | from sqlalchemy import create_engine, Column, Integer, BigInteger, String, Boolean, MetaData, ForeignKey
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, relationship
from sqlalchemy.types import DateTime, Date, Interval
from sqlalchemy.pool import NullPool
from .conf imp... | 49.789865 | 176 | 0.757755 |
c8f8cdcd902d01952d5a7b8a680f7b6b5e1cd1d5 | 3,154 | py | Python | ImageAnalysis/ImageAnalysis/python/references/bead-designer-test/beads.py | mikebourbeauart/PerlerPrinter | 8c5023de6bb9b3cbe2bc28c1c823030dfd708db4 | [
"MIT"
] | null | null | null | ImageAnalysis/ImageAnalysis/python/references/bead-designer-test/beads.py | mikebourbeauart/PerlerPrinter | 8c5023de6bb9b3cbe2bc28c1c823030dfd708db4 | [
"MIT"
] | 2 | 2021-09-07T23:43:53.000Z | 2022-01-13T00:39:55.000Z | ImageAnalysis/ImageAnalysis/python/references/bead-designer-test/beads.py | mikebourbeauart/PerlerPrinter | 8c5023de6bb9b3cbe2bc28c1c823030dfd708db4 | [
"MIT"
] | 1 | 2019-10-21T17:12:07.000Z | 2019-10-21T17:12:07.000Z | import Image
from ImageColor import getrgb
from reportlab.pdfgen import canvas
from reportlab.lib.units import mm
from reportlab.lib.pagesizes import A4
import uuid
BEAD_RADIUS = 1.75*mm
BEAD_THICKNESS = 1*mm
BOARD_SPACING = 4.85*mm
BOARD_BORDER = 4*mm
#A4 60x43 = 2580
#A3 86x60 = 5160
#A2 86x120 = 10,320
#MARQUEE A4... | 28.414414 | 84 | 0.616677 |
c8f8f117d6dace7d4b6c578a60f491f9e6393f0d | 1,836 | py | Python | common_tools/report_dialog.py | jamiecook/AequilibraE | b1013d59cbeaf6fc4e1a944cf31f20460a2a4156 | [
"MIT"
] | null | null | null | common_tools/report_dialog.py | jamiecook/AequilibraE | b1013d59cbeaf6fc4e1a944cf31f20460a2a4156 | [
"MIT"
] | null | null | null | common_tools/report_dialog.py | jamiecook/AequilibraE | b1013d59cbeaf6fc4e1a944cf31f20460a2a4156 | [
"MIT"
] | null | null | null | """
-----------------------------------------------------------------------------------------------------------
Package: AequilibraE
Name: Report dialog
Purpose: Dialog for showing the report from algorithm runs
Original Author: Pedro Camargo (c@margo.co)
Contributors:
Last edited by: Pedro Camarg... | 30.6 | 108 | 0.56427 |
c8f9b47386e455dd9e70d1f591e4c141b1b8e828 | 21,580 | py | Python | gui/robot_data_visualizer.py | wh1210/robot-data-visualizer | ebb59687233a8d09c8ed327c66ed1d69c4623136 | [
"MIT"
] | null | null | null | gui/robot_data_visualizer.py | wh1210/robot-data-visualizer | ebb59687233a8d09c8ed327c66ed1d69c4623136 | [
"MIT"
] | 13 | 2018-11-20T22:55:39.000Z | 2022-03-11T23:36:18.000Z | gui/robot_data_visualizer.py | wh1210/robot-data-visualizer | ebb59687233a8d09c8ed327c66ed1d69c4623136 | [
"MIT"
] | 2 | 2018-11-09T01:48:07.000Z | 2018-12-29T23:10:53.000Z | import os
import sys
sys.path.append('.')
sys.path.append('..')
import warnings
warnings.filterwarnings("ignore")
from datetime import datetime
import matplotlib
matplotlib.use("TkAgg")
import matplotlib.lines as lines
import matplotlib.image as mpimg
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
f... | 34.091627 | 117 | 0.580445 |
c8fa3bb594a67f398ad5e9f8e305ca9da2fda5ed | 1,780 | py | Python | day10/day10.py | BroderickCarlin/AdventOfCode | 52d12d16f3d291a51984e6d85dbe97e604abc005 | [
"MIT"
] | null | null | null | day10/day10.py | BroderickCarlin/AdventOfCode | 52d12d16f3d291a51984e6d85dbe97e604abc005 | [
"MIT"
] | null | null | null | day10/day10.py | BroderickCarlin/AdventOfCode | 52d12d16f3d291a51984e6d85dbe97e604abc005 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
lengths = "187,254,0,81,169,219,1,190,19,102,255,56,46,32,2,216"
suffix = [17, 31, 73, 47, 23]
num_rounds = 64
if __name__ == "__main__":
print("1: {}".format(puzzle1()))
print("2: {}".format(puzzle2()))
| 24.383562 | 64 | 0.455056 |
c8fc7cc35ebc665797970c840fc5d039b1988b5c | 1,914 | py | Python | 17tensorflow/tf2/2my_model.py | cheerfulwang/python-tutorial | d0f7348e1da4ff954e3add66e1aae55d599283ee | [
"Apache-2.0"
] | 2 | 2021-01-04T10:44:44.000Z | 2022-02-13T07:53:41.000Z | 17tensorflow/tf2/2my_model.py | zm79287/python-tutorial | d0f7348e1da4ff954e3add66e1aae55d599283ee | [
"Apache-2.0"
] | null | null | null | 17tensorflow/tf2/2my_model.py | zm79287/python-tutorial | d0f7348e1da4ff954e3add66e1aae55d599283ee | [
"Apache-2.0"
] | 2 | 2020-11-23T08:58:51.000Z | 2022-02-13T07:53:42.000Z | # -*- coding: utf-8 -*-
"""
@author:XuMingxuming624@qq.com)
@description:
"""
import tensorflow as tf
import tensorflow.keras as keras
import tensorflow.keras.layers as layers
#
num_words = 2000
num_tags = 12
num_departments = 4
#
body_input = keras.Input(shape=(None,), name='body')
title_input = keras.Input(shape... | 29.446154 | 98 | 0.719436 |
c8ff0f334dbba342f0a95112a0a41bb1cc0f4aaf | 3,937 | py | Python | src/genie/libs/parser/nxos/tests/ShowIpOspf/cli/equal/golden_output_2_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 204 | 2018-06-27T00:55:27.000Z | 2022-03-06T21:12:18.000Z | src/genie/libs/parser/nxos/tests/ShowIpOspf/cli/equal/golden_output_2_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 468 | 2018-06-19T00:33:18.000Z | 2022-03-31T23:23:35.000Z | src/genie/libs/parser/nxos/tests/ShowIpOspf/cli/equal/golden_output_2_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 309 | 2019-01-16T20:21:07.000Z | 2022-03-30T12:56:41.000Z |
expected_output = {
'vrf':
{'default':
{'address_family':
{'ipv4':
{'instance':
{'1':
{'areas':
{'0.0.0.0':
{'area_id': '0.0.0.0',
... | 49.2125 | 73 | 0.216916 |
c8ffacba13563fc63e94eff5bc851a3e548d81b6 | 4,566 | py | Python | rain/cloud/system/system.py | SuPerCxyz/rain | 578b6d125f535414d3ea3fcfee4015b70fed560c | [
"Apache-2.0"
] | 2 | 2018-12-20T01:38:56.000Z | 2018-12-29T14:49:36.000Z | rain/cloud/system/system.py | SuPerCxyz/rain | 578b6d125f535414d3ea3fcfee4015b70fed560c | [
"Apache-2.0"
] | null | null | null | rain/cloud/system/system.py | SuPerCxyz/rain | 578b6d125f535414d3ea3fcfee4015b70fed560c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import json
import platform
import time
from getdevinfo import getdevinfo
import psutil
from rain.common import rain_log
from rain.common import utils
from rain.common.utils import async_call
logger = rain_log.logg(__name__)
def get_memcache_info(self):
"""... | 33.328467 | 75 | 0.592641 |
c8ffe69de767e55075d5f9e090d7f69a2c93dd80 | 7,517 | py | Python | models.py | rudrasohan/Trust-Region-Policy-Optimization | bbaadf37aa3ea4ccc35907038eea4add9e5e050c | [
"MIT"
] | 3 | 2019-11-16T15:40:14.000Z | 2021-12-28T14:26:36.000Z | models.py | rudrasohan/Trust-Region-Policy-Optimization | bbaadf37aa3ea4ccc35907038eea4add9e5e050c | [
"MIT"
] | null | null | null | models.py | rudrasohan/Trust-Region-Policy-Optimization | bbaadf37aa3ea4ccc35907038eea4add9e5e050c | [
"MIT"
] | null | null | null | """Model Definations for trpo."""
import gym
import numpy as np
import torch
import time
import scipy.optimize
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from distributions import DiagonalGaussian
from helpers import get_flat_params, set_flat_params, get_flat_grads
#from ... | 33.261062 | 119 | 0.600905 |
7400b5e2ffa5344609e346cb8a0ec6ea5d60b0b6 | 148 | py | Python | sample_1/admin.py | JordanEC/django-rest-and-angular | 571eb2a7d966c2b7f1f520a764420207387709cd | [
"MIT"
] | null | null | null | sample_1/admin.py | JordanEC/django-rest-and-angular | 571eb2a7d966c2b7f1f520a764420207387709cd | [
"MIT"
] | null | null | null | sample_1/admin.py | JordanEC/django-rest-and-angular | 571eb2a7d966c2b7f1f520a764420207387709cd | [
"MIT"
] | null | null | null | from django.contrib import admin
from sample_1.models import *
# Register your models here.
admin.site.register(Author)
admin.site.register(Book)
| 18.5 | 32 | 0.797297 |
740438f708cbfe346a44823a28bc4994e0b1022b | 196 | py | Python | uuid1/models.py | charlesDavid009/Uuid | 7553843c0112e7f0e248cd5692eccca72553e720 | [
"MIT"
] | 1 | 2021-05-24T18:52:53.000Z | 2021-05-24T18:52:53.000Z | uuid1/models.py | charlesDavid009/Uuid | 7553843c0112e7f0e248cd5692eccca72553e720 | [
"MIT"
] | null | null | null | uuid1/models.py | charlesDavid009/Uuid | 7553843c0112e7f0e248cd5692eccca72553e720 | [
"MIT"
] | null | null | null | from django.db import models
import uuid
# Create your models here.
| 19.6 | 53 | 0.760204 |
74043e623f8ec052206750dba77f648adab74816 | 1,660 | py | Python | comedy-org.py | qedpi/file-organizer | 07bdc6fd8e752aae03078529dfefe4838f4f4c4e | [
"MIT"
] | 2 | 2020-11-23T16:32:11.000Z | 2021-05-14T00:35:16.000Z | comedy-org.py | qedpi/file-organizer | 07bdc6fd8e752aae03078529dfefe4838f4f4c4e | [
"MIT"
] | null | null | null | comedy-org.py | qedpi/file-organizer | 07bdc6fd8e752aae03078529dfefe4838f4f4c4e | [
"MIT"
] | null | null | null | import os
from shutil import move, rmtree
from itertools import chain
from genres import genre_of, DOWNLOAD_DIR, DST_DIRS, VIDEO_EXTENSIONS
print(genre_of)
print(f'moving files from {DOWNLOAD_DIR}: \n'
# f'with keywords: {COMEDY_TAGS} \n'
# f'with extensions: {VIDEO_EXTENSIONS} \n'
)
files_moved =... | 37.727273 | 92 | 0.638554 |
7405313149ad1d453f1faa1ff9ea0b0aec012d46 | 3,572 | py | Python | keeper/v2api/projects.py | lsst-sqre/ltd-keeper | c658bcce726764e7416a8a386b418e83912b0f32 | [
"Apache-2.0",
"MIT"
] | 5 | 2016-05-16T18:46:26.000Z | 2019-07-08T15:16:41.000Z | keeper/v2api/projects.py | lsst-sqre/ltd-keeper | c658bcce726764e7416a8a386b418e83912b0f32 | [
"Apache-2.0",
"MIT"
] | 46 | 2016-02-18T16:54:36.000Z | 2022-03-25T19:43:45.000Z | keeper/v2api/projects.py | lsst-sqre/ltd-keeper | c658bcce726764e7416a8a386b418e83912b0f32 | [
"Apache-2.0",
"MIT"
] | 4 | 2016-08-20T23:10:07.000Z | 2022-03-25T19:52:09.000Z | """Handlers for project-related APIs."""
from __future__ import annotations
from typing import Dict, Tuple
from flask import request
from flask_accept import accept_fallback
from keeper.auth import token_auth
from keeper.logutils import log_route
from keeper.models import Organization, Product, db
from keeper.servi... | 28.349206 | 77 | 0.676932 |
7405685566287cf4e859fe85e98cb0c021c50b86 | 2,237 | py | Python | plugins/markdown_extensions/katex.py | raabrp/rraabblog | a1d47ede918f4838ac3bbcff9ef4e7c67f851c32 | [
"MIT"
] | null | null | null | plugins/markdown_extensions/katex.py | raabrp/rraabblog | a1d47ede918f4838ac3bbcff9ef4e7c67f851c32 | [
"MIT"
] | null | null | null | plugins/markdown_extensions/katex.py | raabrp/rraabblog | a1d47ede918f4838ac3bbcff9ef4e7c67f851c32 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Allow server-side KaTeX rendering for Markdown through node.js
The markdown extension adds regex patterns for `$` and `$$` in the source `.md`
file, and applies KaTeX to the intermediate text with a `python-bond` call to
node.js
requires
* node
* npm
* katex (npm install katex)
* python-b... | 24.053763 | 97 | 0.565042 |
7407dcd338f0c898023c04aaa216c45c15fae02b | 247 | py | Python | 1-Python-Programming-Basics (Sep 2020)/Course-Exercises-and-Exams/05_While-Loop/00.Book-Exercises-7.1-Complex-Loops-02-Numbers-N-to-1.py | karolinanikolova/SoftUni-Software-Engineering | 7891924956598b11a1e30e2c220457c85c40f064 | [
"MIT"
] | null | null | null | 1-Python-Programming-Basics (Sep 2020)/Course-Exercises-and-Exams/05_While-Loop/00.Book-Exercises-7.1-Complex-Loops-02-Numbers-N-to-1.py | karolinanikolova/SoftUni-Software-Engineering | 7891924956598b11a1e30e2c220457c85c40f064 | [
"MIT"
] | null | null | null | 1-Python-Programming-Basics (Sep 2020)/Course-Exercises-and-Exams/05_While-Loop/00.Book-Exercises-7.1-Complex-Loops-02-Numbers-N-to-1.py | karolinanikolova/SoftUni-Software-Engineering | 7891924956598b11a1e30e2c220457c85c40f064 | [
"MIT"
] | null | null | null | # N 1
# , n 1 ( -1).
# , n = 100, : 100, 99, 98, , 3, 2, 1.
n = int(input())
for i in range(n, 0, -1):
print(i) | 30.875 | 85 | 0.631579 |
7408452dfdbed6f56d0e2243de45d1e90b286cdf | 1,490 | py | Python | simpleclassroom/urls.py | cbetheridge/simpleclassroom | 9e99262ffdb4efc0e27566855866dfc26244bf26 | [
"MIT"
] | null | null | null | simpleclassroom/urls.py | cbetheridge/simpleclassroom | 9e99262ffdb4efc0e27566855866dfc26244bf26 | [
"MIT"
] | null | null | null | simpleclassroom/urls.py | cbetheridge/simpleclassroom | 9e99262ffdb4efc0e27566855866dfc26244bf26 | [
"MIT"
] | null | null | null | """simpleclassroom URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.9/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
C... | 42.571429 | 80 | 0.713423 |
cd9d087613da3991818c9538bda9aacfcb7b2302 | 714 | py | Python | Mechanize/checkWords.py | rpvnwnkl/DailyWriter | 7934d636219e46b9875f31e327bf52993e15e517 | [
"MIT"
] | null | null | null | Mechanize/checkWords.py | rpvnwnkl/DailyWriter | 7934d636219e46b9875f31e327bf52993e15e517 | [
"MIT"
] | null | null | null | Mechanize/checkWords.py | rpvnwnkl/DailyWriter | 7934d636219e46b9875f31e327bf52993e15e517 | [
"MIT"
] | null | null | null | #!usr/bin/env python
import sys, logging
import re
import mechanize
logger = logging.getLogger('mechanize')
logger.addHandler(logging.StreamHandler(sys.stdout))
logger.setLevel(logging.DEBUG)
br = mechanize.Browser()
br.set_debug_http(True)
br.set_debug_responses(True)
br.set_debug_redirects(True)
br.open("https://... | 23.032258 | 52 | 0.752101 |
cd9ec9af338573f552a9119ee09d53bff7f7cebd | 4,939 | py | Python | simplereg/data_writer.py | gift-surg/SimpleReg | 9d9a774f5b7823c2256844c9d0260395604fb396 | [
"BSD-3-Clause"
] | 18 | 2017-11-10T15:09:41.000Z | 2021-01-12T07:48:46.000Z | simplereg/data_writer.py | gift-surg/SimpleReg | 9d9a774f5b7823c2256844c9d0260395604fb396 | [
"BSD-3-Clause"
] | null | null | null | simplereg/data_writer.py | gift-surg/SimpleReg | 9d9a774f5b7823c2256844c9d0260395604fb396 | [
"BSD-3-Clause"
] | 3 | 2019-03-20T14:13:03.000Z | 2020-01-15T01:32:51.000Z | # \file DataWriter.py
# \brief Class to read data
#
# \author Michael Ebner (michael.ebner.14@ucl.ac.uk)
# \date June 2018
import os
import sys
import numpy as np
import nibabel as nib
import SimpleITK as sitk
import pysitk.python_helper as ph
import pysitk.simple_itk_helper as sitkh
from simplereg.definitions i... | 40.154472 | 78 | 0.578255 |
cd9f005c2266883ac0727dd4f11b65c0cc61acbf | 3,881 | py | Python | configman/datetime_util.py | peterbe/configman | 724d80b25a0ebbb2e75ad69e92a6611494cd68b4 | [
"BSD-3-Clause"
] | null | null | null | configman/datetime_util.py | peterbe/configman | 724d80b25a0ebbb2e75ad69e92a6611494cd68b4 | [
"BSD-3-Clause"
] | null | null | null | configman/datetime_util.py | peterbe/configman | 724d80b25a0ebbb2e75ad69e92a6611494cd68b4 | [
"BSD-3-Clause"
] | null | null | null | # ***** BEGIN LICENSE BLOCK *****
# Version: MPL 1.1/GPL 2.0/LGPL 2.1
#
# The contents of this file are subject to the Mozilla Public License Version
# 1.1 (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.mozilla.org/MPL/
#
# Softwa... | 34.651786 | 79 | 0.67328 |
cda50a569978706c9bec0db5233be29def4df294 | 2,952 | py | Python | src/tests/voluntario/test_api.py | Akijunior/Atados | 255c9c9137e48aa82fdea63f9d6d65a3720c3f92 | [
"MIT"
] | null | null | null | src/tests/voluntario/test_api.py | Akijunior/Atados | 255c9c9137e48aa82fdea63f9d6d65a3720c3f92 | [
"MIT"
] | null | null | null | src/tests/voluntario/test_api.py | Akijunior/Atados | 255c9c9137e48aa82fdea63f9d6d65a3720c3f92 | [
"MIT"
] | null | null | null | from django.contrib.auth import get_user_model
from django.contrib.auth.models import User
from rest_framework.authtoken.models import Token
from rest_framework.test import APITestCase, APIClient
from rest_framework.views import status
from voluntario.models import Voluntario
| 42.782609 | 87 | 0.686992 |
cda678a982b6a913bc586a56ae657d42e29745b5 | 508 | py | Python | main.py | ki-ljl/Scaffold-Federated-Learning | 12e04217df3af2c326ea90fef6cff47beaaec485 | [
"MIT"
] | 9 | 2022-03-02T13:58:29.000Z | 2022-03-31T06:45:40.000Z | main.py | ki-ljl/Scaffold-Federated-Learning | 12e04217df3af2c326ea90fef6cff47beaaec485 | [
"MIT"
] | null | null | null | main.py | ki-ljl/Scaffold-Federated-Learning | 12e04217df3af2c326ea90fef6cff47beaaec485 | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
"""
@Time2022/05/05 12:57
@AuthorKI
@Filemain.py
@MottoHungry And Humble
"""
from data_process import clients_wind
from server import Scaffold
if __name__ == '__main__':
main()
| 20.32 | 79 | 0.582677 |
cda77d54e2daf57e2851f4a131c3a29a3329d0d5 | 464 | py | Python | reddit/files/setup_cassandra.py | mitodl/reddit-formula | 68c597f5391b8bf960de3d701225de2fc45d04e4 | [
"BSD-3-Clause"
] | null | null | null | reddit/files/setup_cassandra.py | mitodl/reddit-formula | 68c597f5391b8bf960de3d701225de2fc45d04e4 | [
"BSD-3-Clause"
] | 4 | 2017-09-29T18:34:06.000Z | 2018-05-23T19:07:17.000Z | reddit/files/setup_cassandra.py | mitodl/reddit-formula | 68c597f5391b8bf960de3d701225de2fc45d04e4 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
import pycassa
sys = pycassa.SystemManager("cassandra.service.consul:9160")
if "reddit" not in sys.list_keyspaces():
print "creating keyspace 'reddit'"
sys.create_keyspace("reddit", "SimpleStrategy", {"replication_factor": "3"})
print "done"
if "permacache" not in sys.get_keyspace_c... | 30.933333 | 80 | 0.726293 |
cda9eb07b967369dac4f17bb21af05cd80acf296 | 1,472 | py | Python | Data Analysis with Pandas Intermediate/Pandas Internals_ Series-145.py | vipmunot/Data-Analysis-using-Python | 34586d8cbbc336508c4a7a68abe14944f1096252 | [
"MIT"
] | null | null | null | Data Analysis with Pandas Intermediate/Pandas Internals_ Series-145.py | vipmunot/Data-Analysis-using-Python | 34586d8cbbc336508c4a7a68abe14944f1096252 | [
"MIT"
] | null | null | null | Data Analysis with Pandas Intermediate/Pandas Internals_ Series-145.py | vipmunot/Data-Analysis-using-Python | 34586d8cbbc336508c4a7a68abe14944f1096252 | [
"MIT"
] | null | null | null | ## 1. Data Structures ##
import pandas as pd
fandango = pd.read_csv('fandango_score_comparison.csv')
print(fandango.head(2))
## 2. Integer Indexes ##
fandango = pd.read_csv('fandango_score_comparison.csv')
series_film = fandango['FILM']
series_rt = fandango['RottenTomatoes']
print(series_film[:5])
print(series_rt[:5... | 25.37931 | 81 | 0.754076 |
cdad55a9ce2a49755ae4b294972c1f2e61c115f9 | 425 | py | Python | problem/01000~09999/01058/1058.py3.py | njw1204/BOJ-AC | 1de41685725ae4657a7ff94e413febd97a888567 | [
"MIT"
] | 1 | 2019-04-19T16:37:44.000Z | 2019-04-19T16:37:44.000Z | problem/01000~09999/01058/1058.py3.py | njw1204/BOJ-AC | 1de41685725ae4657a7ff94e413febd97a888567 | [
"MIT"
] | 1 | 2019-04-20T11:42:44.000Z | 2019-04-20T11:42:44.000Z | problem/01000~09999/01058/1058.py3.py | njw1204/BOJ-AC | 1de41685725ae4657a7ff94e413febd97a888567 | [
"MIT"
] | 3 | 2019-04-19T16:37:47.000Z | 2021-10-25T00:45:00.000Z | n=int(input())
link=[[100]*n for i in range(n)]
for i in range(n):
x=input()
for j in range(n):
if x[j]=='Y': link[i][j]=1
for i in range(n):
for j in range(n):
for k in range(n):
if link[j][i]+link[i][k]<link[j][k]:
link[j][k]=link[j][i]+link[i][k]
link[k][j]=link[j][k]
ans=0
for ... | 20.238095 | 42 | 0.52 |
cdae861a30ba2bb3bd941147a704995ddbb3e7b8 | 4,894 | py | Python | pytest_ipynb/plugin.py | kevingerman/pytest-ipynb | 04b5fed4f280983f64254b01e3b24b7733e99224 | [
"BSD-3-Clause"
] | 104 | 2015-01-21T16:10:46.000Z | 2021-05-31T06:53:35.000Z | pytest_ipynb/plugin.py | kevingerman/pytest-ipynb | 04b5fed4f280983f64254b01e3b24b7733e99224 | [
"BSD-3-Clause"
] | 26 | 2015-04-09T04:12:48.000Z | 2018-12-22T18:41:33.000Z | pytest_ipynb/plugin.py | kevingerman/pytest-ipynb | 04b5fed4f280983f64254b01e3b24b7733e99224 | [
"BSD-3-Clause"
] | 21 | 2015-02-06T10:07:28.000Z | 2021-04-19T21:31:48.000Z | import pytest
import os,sys
import warnings
try:
from exceptions import Exception, TypeError, ImportError
except:
pass
from runipy.notebook_runner import NotebookRunner
wrapped_stdin = sys.stdin
sys.stdin = sys.__stdin__
sys.stdin = wrapped_stdin
try:
from Queue import Empty
except:
from queue import ... | 32.845638 | 122 | 0.599918 |
cdaf411884a90226584098d678014eeaecc826d5 | 90 | py | Python | test.py | stpwin/fb-groub-sentiment | 0c0c860bf7b405e7cc4a7fac5a337b751dddb910 | [
"bzip2-1.0.6"
] | null | null | null | test.py | stpwin/fb-groub-sentiment | 0c0c860bf7b405e7cc4a7fac5a337b751dddb910 | [
"bzip2-1.0.6"
] | 7 | 2019-08-25T01:53:14.000Z | 2022-03-11T23:57:08.000Z | test.py | stpwin/fb-groub-sentiment | 0c0c860bf7b405e7cc4a7fac5a337b751dddb910 | [
"bzip2-1.0.6"
] | null | null | null | items = {"a": True, "b": False}
b = [v for k, v in items.items() if v == True]
print(b)
| 15 | 46 | 0.533333 |
cdb4d928fe81a97440ce0c56dea2317a5512f228 | 2,258 | py | Python | setup.py | vbrinnel/ztflc | b1ccab67e5e0e385d8406f179c1ad0c346afa129 | [
"Apache-2.0"
] | 1 | 2020-04-07T14:36:49.000Z | 2020-04-07T14:36:49.000Z | setup.py | vbrinnel/ztflc | b1ccab67e5e0e385d8406f179c1ad0c346afa129 | [
"Apache-2.0"
] | 3 | 2020-01-16T18:25:46.000Z | 2021-05-19T20:51:52.000Z | setup.py | vbrinnel/ztflc | b1ccab67e5e0e385d8406f179c1ad0c346afa129 | [
"Apache-2.0"
] | 1 | 2021-03-31T19:47:33.000Z | 2021-03-31T19:47:33.000Z | #! /usr/bin/env python
#
DESCRIPTION = "ztflc: Force photometry lc fitter"
LONG_DESCRIPTION = """ Force photometry lc fitter"""
DISTNAME = "ztflc"
AUTHOR = "Mickael Rigault"
MAINTAINER = "Mickael Rigault"
MAINTAINER_EMAIL = "m.rigault@ipnl.in2p3.fr"
URL = "https://github.com/MickaelRigault/ztflc/"
LICENSE = "BSD (3-c... | 26.880952 | 68 | 0.637733 |
cdb4fa7248d3772a040373832306d9f403d71783 | 311 | py | Python | ibm1.py | thovo/ibm1 | df00eca56827e294642d503972f29ab3e139caf0 | [
"MIT"
] | null | null | null | ibm1.py | thovo/ibm1 | df00eca56827e294642d503972f29ab3e139caf0 | [
"MIT"
] | null | null | null | ibm1.py | thovo/ibm1 | df00eca56827e294642d503972f29ab3e139caf0 | [
"MIT"
] | null | null | null | #!/usr/bin/python
__author__ = 'thovo'
import sys
ibm1() | 18.294118 | 73 | 0.59164 |
cdb6e8d6090040ad0dc31239d89e99153192bd44 | 1,927 | py | Python | wordfinds/raw.py | GrandMoff100/WordFinds | 4b56532f399178e5f2b18b246084644061c5bfc2 | [
"MIT"
] | 2 | 2021-05-22T19:19:56.000Z | 2021-08-16T11:34:11.000Z | wordfinds/raw.py | GrandMoff100/WordFinds | 4b56532f399178e5f2b18b246084644061c5bfc2 | [
"MIT"
] | null | null | null | wordfinds/raw.py | GrandMoff100/WordFinds | 4b56532f399178e5f2b18b246084644061c5bfc2 | [
"MIT"
] | 1 | 2021-11-09T13:55:43.000Z | 2021-11-09T13:55:43.000Z | import random
from .utils import filler
from .array import RawWordFindArray, WordArray
| 32.661017 | 120 | 0.511676 |
cdb7047c417fa314c5e02129e1672265cc3318ba | 2,969 | py | Python | src/neon/frontend/aeon_shim.py | MUTTERSCHIFF/ngraph-neon | 762e8ea639cdc671311ee4929bd1ee8cdf83e8bb | [
"Apache-2.0"
] | 13 | 2018-03-17T00:27:18.000Z | 2020-06-18T01:36:34.000Z | src/neon/frontend/aeon_shim.py | MUTTERSCHIFF/ngraph-neon | 762e8ea639cdc671311ee4929bd1ee8cdf83e8bb | [
"Apache-2.0"
] | 20 | 2018-03-17T14:49:04.000Z | 2018-04-19T17:47:38.000Z | src/neon/frontend/aeon_shim.py | NervanaSystems/ngraph-neon | 8988ab90ee81c8b219ea5c374702e56d7f383302 | [
"Apache-2.0"
] | 5 | 2018-03-23T22:47:17.000Z | 2020-10-21T16:15:02.000Z | # ******************************************************************************
# Copyright 2017-2018 Intel Corporation
#
# 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.apa... | 35.345238 | 88 | 0.583025 |
cdb91795db8c176b9e6d1d2b0ffc0bc2b063adbd | 857 | py | Python | Lessons/Chapter9Exercise1.py | Luderio/Scientific-Computing-with-Python | c7eebcc3b46b68b3d5c08ad25fb802ae9ff42f7f | [
"MIT"
] | null | null | null | Lessons/Chapter9Exercise1.py | Luderio/Scientific-Computing-with-Python | c7eebcc3b46b68b3d5c08ad25fb802ae9ff42f7f | [
"MIT"
] | null | null | null | Lessons/Chapter9Exercise1.py | Luderio/Scientific-Computing-with-Python | c7eebcc3b46b68b3d5c08ad25fb802ae9ff42f7f | [
"MIT"
] | null | null | null | wordCounter = dict()
while True :
inputFile = input('Enter a file: ')
try :
fileName = open(inputFile)
except :
fileName = 'invalid'
if fileName == 'invalid' :
if inputFile == 'done' :
break
else :
print('Invalid Input')
continue
... | 25.969697 | 70 | 0.574096 |
cdb943e87aa2338b8600a2d1fc39c5fdf842f690 | 1,022 | py | Python | iris/cli/help.py | kpanic/lymph | 5681de5e65ee72efb96012608fc5189a48adafcd | [
"Apache-2.0"
] | null | null | null | iris/cli/help.py | kpanic/lymph | 5681de5e65ee72efb96012608fc5189a48adafcd | [
"Apache-2.0"
] | null | null | null | iris/cli/help.py | kpanic/lymph | 5681de5e65ee72efb96012608fc5189a48adafcd | [
"Apache-2.0"
] | null | null | null | from iris.cli.base import Command, format_docstring, get_command_class
HELP = format_docstring("""
Usage: iris [options] <command> [<args>...]
Iris is the personification of the rainbow and messenger of the gods.
{COMMON_OPTIONS}
Commands:
instance Run a single service instance (one process).
node Run ... | 26.894737 | 77 | 0.671233 |
cdb9f5699b06eaa0f164fb54a701bb1fdb951c1f | 3,321 | py | Python | src/Featurizers/DateTimeFeaturizerData/Tools/JsonGenerator.py | Bhaskers-Blu-Org2/FeaturizersLibrary | 229ae38ea233bfb02a6ff92ec3a67c1751c58005 | [
"MIT"
] | 15 | 2019-12-14T07:54:18.000Z | 2021-03-14T14:53:28.000Z | src/Featurizers/DateTimeFeaturizerData/Tools/JsonGenerator.py | Lisiczka27/FeaturizersLibrary | dc7b42abd39589af0668c896666affb4abe8a622 | [
"MIT"
] | 30 | 2019-12-03T20:58:56.000Z | 2020-04-21T23:34:39.000Z | src/Featurizers/DateTimeFeaturizerData/Tools/JsonGenerator.py | Lisiczka27/FeaturizersLibrary | dc7b42abd39589af0668c896666affb4abe8a622 | [
"MIT"
] | 13 | 2020-01-23T00:18:47.000Z | 2021-10-04T17:46:45.000Z | # ----------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License
# ----------------------------------------------------------------------
"""Generates JSON files based on data previously pickled"""
import lzma
import o... | 34.957895 | 82 | 0.504065 |
cdba82790169d516d43e4d1c83b7c0a26c10e1fe | 7,152 | py | Python | fer.py | MahmoudSabra1/Emotion-recognition-song-recommendation | 5cad8413b6c98cee12798334009fe8942a420527 | [
"MIT"
] | 11 | 2020-11-11T14:52:05.000Z | 2022-03-11T11:37:42.000Z | fer.py | MahmoudSabra1/Emotion-recognition-song-recommendation | 5cad8413b6c98cee12798334009fe8942a420527 | [
"MIT"
] | 1 | 2021-06-21T06:42:59.000Z | 2021-06-21T06:42:59.000Z | fer.py | MahmoudSabra1/Emotion-recognition-song-recommendation | 5cad8413b6c98cee12798334009fe8942a420527 | [
"MIT"
] | 7 | 2021-01-26T03:40:12.000Z | 2021-12-20T12:24:34.000Z | # Two lines that remove tensorflow GPU logs
# import os
# os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from keras.optimizers import Adam
from keras.models import Sequential, model_from_json
from keras.layers import Conv2D, MaxPooling2D, Dense, Flatten,... | 32.216216 | 115 | 0.65646 |
cdbc9720aa5c6f9258b24ce41fb35960b581a3f8 | 705 | py | Python | manual.py | Taschenbergerm/bgg_miner | f20057ec2e85e20ad08f92514ce38c699e8c85eb | [
"MIT"
] | null | null | null | manual.py | Taschenbergerm/bgg_miner | f20057ec2e85e20ad08f92514ce38c699e8c85eb | [
"MIT"
] | null | null | null | manual.py | Taschenbergerm/bgg_miner | f20057ec2e85e20ad08f92514ce38c699e8c85eb | [
"MIT"
] | null | null | null | from pprint import pprint
import requests
from lxml import etree
if __name__ == "__main__":
main()
| 27.115385 | 68 | 0.591489 |
cdbd2bded66eee36ec46ada4de75a010512f317b | 2,962 | py | Python | app/requests.py | gabrielcoder247/News-Highlight-v2 | 595f4ee9739b173142d1012bdda63526818930e4 | [
"Unlicense"
] | null | null | null | app/requests.py | gabrielcoder247/News-Highlight-v2 | 595f4ee9739b173142d1012bdda63526818930e4 | [
"Unlicense"
] | null | null | null | app/requests.py | gabrielcoder247/News-Highlight-v2 | 595f4ee9739b173142d1012bdda63526818930e4 | [
"Unlicense"
] | null | null | null | import urllib.request,json
from .models import Source,Article
from . import main
# Getting Api Key
api_Key = None
#Getting the base urls
sources_base_url = None
articles_base_url = None
def configure_request(app):
'''
Function to acquire the api key and base urls
'''
global api_Key,sources_base_url,articles_base_... | 30.854167 | 85 | 0.778528 |
cdc3ceae4eb0b0fc7a29f9482fb7047dcfef58b4 | 727 | py | Python | main.py | csmyth93/solo_scoring | 6c1a32a3430058aa7d51be604dcc02d11ce85edd | [
"MIT"
] | null | null | null | main.py | csmyth93/solo_scoring | 6c1a32a3430058aa7d51be604dcc02d11ce85edd | [
"MIT"
] | null | null | null | main.py | csmyth93/solo_scoring | 6c1a32a3430058aa7d51be604dcc02d11ce85edd | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
players = get_names()
print(players)
scores = get_player_scores(players)
print(scores)
| 22.71875 | 63 | 0.515818 |
cdc3dc53bc12e7691159632083c1b94dc1973dac | 74 | py | Python | tests/unit/conftest.py | fourTheorem/slic-slack | cffc870c2399feff67199050460abdcb3385ef17 | [
"Apache-2.0"
] | 4 | 2022-01-14T15:47:55.000Z | 2022-01-14T16:15:18.000Z | tests/unit/conftest.py | fourTheorem/slic-slack | cffc870c2399feff67199050460abdcb3385ef17 | [
"Apache-2.0"
] | null | null | null | tests/unit/conftest.py | fourTheorem/slic-slack | cffc870c2399feff67199050460abdcb3385ef17 | [
"Apache-2.0"
] | null | null | null | import os
os.environ['SLACK_WEBHOOK_URL'] = 'https://example.com/slack'
| 14.8 | 61 | 0.72973 |
cdc442d6b9ce4b9876165256e71bc1dbffd0f620 | 760 | py | Python | python/twisted/web_echo.py | y2ghost/work | b7f5b02db9dc0df6157bc799ddb4a1ac9d574cf3 | [
"MIT"
] | null | null | null | python/twisted/web_echo.py | y2ghost/work | b7f5b02db9dc0df6157bc799ddb4a1ac9d574cf3 | [
"MIT"
] | null | null | null | python/twisted/web_echo.py | y2ghost/work | b7f5b02db9dc0df6157bc799ddb4a1ac9d574cf3 | [
"MIT"
] | null | null | null | from twisted.protocols import basic
from twisted.internet import protocol, reactor
reactor.listenTCP(8000, HTTPEchoFactory())
reactor.run()
| 27.142857 | 68 | 0.661842 |
cdc5a62dbf81299334c3372e259e1e6b484185cd | 2,804 | py | Python | app01/tools.py | xinxinliang/ksDjango | 0c0f4a5842cf225e77035b716979fcf9b8d03311 | [
"Apache-2.0"
] | 13 | 2021-03-11T12:35:29.000Z | 2022-02-25T02:22:47.000Z | app01/tools.py | xinxinliang/ksDjango | 0c0f4a5842cf225e77035b716979fcf9b8d03311 | [
"Apache-2.0"
] | 1 | 2021-11-04T03:02:10.000Z | 2021-11-04T03:02:10.000Z | app01/tools.py | xinxinliang/ksDjango | 0c0f4a5842cf225e77035b716979fcf9b8d03311 | [
"Apache-2.0"
] | 4 | 2021-06-12T19:27:01.000Z | 2022-02-04T05:13:54.000Z | import requests
import json
import os
import time
from app01.models import UserTitle
# idnaame
URL = "https://video.kuaishou.com/graphql"
headers = {
"accept":"*/*",
"Content-Length":"<calculated when request is sent>",
"Accept-Encoding": "gzip, deflate",
"Connection": "keep-alive",
"content-type":... | 43.8125 | 760 | 0.696148 |
cdc5fa09b3e8bd5d035d3ebb8b21feb4b7b64279 | 2,183 | py | Python | core/thirdparty/load_openpose.py | jshuhnow/OddEyeCam | ed76cd1c29701b7b49f20bcd61e7e72d3140fda8 | [
"MIT"
] | 8 | 2020-10-08T13:32:33.000Z | 2021-12-08T10:59:03.000Z | core/thirdparty/load_openpose.py | jshuhnow/OddEyeCam | ed76cd1c29701b7b49f20bcd61e7e72d3140fda8 | [
"MIT"
] | null | null | null | core/thirdparty/load_openpose.py | jshuhnow/OddEyeCam | ed76cd1c29701b7b49f20bcd61e7e72d3140fda8 | [
"MIT"
] | 1 | 2021-04-15T23:50:13.000Z | 2021-04-15T23:50:13.000Z | import os
import sys
this_dir = os.path.dirname(__file__)
import numpy as np
openpose_path = os.path.join(this_dir, 'openpose')
op_release_path = os.path.join(openpose_path, 'Release')
model_path = os.path.join(openpose_path, 'models')
print(op_release_path)
sys.path.append(op_release_path);
os.environ['PATH'] = os.e... | 35.209677 | 107 | 0.639487 |
cdc633f283f26d40a91533035d25cbe1abaa2d61 | 11,193 | py | Python | pybench/benchmarks/benchmark_ml.py | pentschev/pybench | 89d65a6c418a1fee39d447bd11b8a999835b74a9 | [
"Apache-2.0"
] | 14 | 2019-06-29T19:19:10.000Z | 2022-03-31T06:40:33.000Z | pybench/benchmarks/benchmark_ml.py | pentschev/pybench | 89d65a6c418a1fee39d447bd11b8a999835b74a9 | [
"Apache-2.0"
] | 2 | 2019-07-23T22:06:37.000Z | 2019-08-19T22:15:32.000Z | pybench/benchmarks/benchmark_ml.py | pentschev/pybench | 89d65a6c418a1fee39d447bd11b8a999835b74a9 | [
"Apache-2.0"
] | 5 | 2019-07-23T14:48:48.000Z | 2020-04-01T08:43:00.000Z | import pytest
import importlib
import numba, numba.cuda
import numpy as np
from pybench import run_benchmark
_shapes = {
"small": [(int(2 ** 14), 512), (int(2 ** 15), 512), (int(2 ** 16), 512)],
"large": [(int(2 ** 20), 512), (int(2 ** 21), 512), (int(2 ** 22), 512)],
}
| 26.841727 | 82 | 0.54132 |
cdc72216af29eaceb6c114484063fc2831f99596 | 420 | py | Python | ABC127C/resolve.py | staguchi0703/problems_easy | 82804b99b3ce8104762c3f6f5cc60b009a17bdc8 | [
"MIT"
] | null | null | null | ABC127C/resolve.py | staguchi0703/problems_easy | 82804b99b3ce8104762c3f6f5cc60b009a17bdc8 | [
"MIT"
] | null | null | null | ABC127C/resolve.py | staguchi0703/problems_easy | 82804b99b3ce8104762c3f6f5cc60b009a17bdc8 | [
"MIT"
] | null | null | null | def resolve():
'''
code here
'''
N , M = [int(item) for item in input().split()]
LRs = [[int(item) for item in input().split()] for _ in range(M)]
L_max = 0
R_min = N
for L, R in LRs:
L_max = max(L_max, L)
R_min = min(R_min, R)
delta = R_min - L_max
if delta >=... | 16.8 | 69 | 0.490476 |
cdc9ffbc19062cc077e25fb215d33c0447db75e0 | 7,109 | py | Python | om10/plotting.py | drphilmarshall/OM10 | 009c16f0ef4e1c5f8f78c78df3c7711b7be24938 | [
"MIT"
] | 5 | 2017-02-17T19:43:54.000Z | 2021-05-19T09:30:53.000Z | om10/plotting.py | drphilmarshall/OM10 | 009c16f0ef4e1c5f8f78c78df3c7711b7be24938 | [
"MIT"
] | 55 | 2015-02-06T19:25:58.000Z | 2021-03-09T07:57:04.000Z | om10/plotting.py | drphilmarshall/OM10 | 009c16f0ef4e1c5f8f78c78df3c7711b7be24938 | [
"MIT"
] | 16 | 2015-01-29T23:55:45.000Z | 2021-04-16T03:06:38.000Z | # ======================================================================
# Globally useful modules, imported here and then accessible by all
# functions in this file:
from __future__ import print_function
# Fonts, latex:
import matplotlib
matplotlib.rc('font',**{'family':'serif', 'serif':['TimesNewRoman']})
matplotli... | 30.251064 | 115 | 0.549163 |
cdcae84167fb352d7727b5d25c865135e36f6d5e | 25,254 | py | Python | applications/EsteEuQuero/models/produto.py | vgcarvpro/vgcarvpro | 16d720cb49f02e4f859c27901360b34681e986c0 | [
"BSD-3-Clause"
] | null | null | null | applications/EsteEuQuero/models/produto.py | vgcarvpro/vgcarvpro | 16d720cb49f02e4f859c27901360b34681e986c0 | [
"BSD-3-Clause"
] | null | null | null | applications/EsteEuQuero/models/produto.py | vgcarvpro/vgcarvpro | 16d720cb49f02e4f859c27901360b34681e986c0 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
| 5,050.8 | 25,197 | 0.818405 |
cdcc403733cc344ed109e0132f133aabd50b5dc1 | 1,213 | py | Python | rpython/jit/backend/muvm/registers.py | wdv4758h/mu-client-pypy | d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | rpython/jit/backend/muvm/registers.py | wdv4758h/mu-client-pypy | d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | rpython/jit/backend/muvm/registers.py | wdv4758h/mu-client-pypy | d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | """ Modified version of ../muvm/registers.py. Will update as needed.
"""
#from rpython.jit.backend.arm.locations import VFPRegisterLocation
#from rpython.jit.backend.arm.locations import SVFPRegisterLocation
#from rpython.jit.backend.arm.locations import RegisterLocation
from rpython.jit.metainterp.history import (Cons... | 25.270833 | 72 | 0.650453 |
cdcc7612e16b3989892d1765ee8591ffd8c61843 | 1,536 | py | Python | src/database/CRUD/create.py | gregory-chekler/api | 11ecbea945e7eb6fa677a0c0bb32bda51ba15f28 | [
"MIT"
] | 2 | 2020-07-24T12:58:17.000Z | 2020-12-17T02:26:13.000Z | src/database/CRUD/create.py | gregory-chekler/api | 11ecbea945e7eb6fa677a0c0bb32bda51ba15f28 | [
"MIT"
] | 214 | 2019-06-26T17:33:54.000Z | 2022-03-26T00:02:34.000Z | src/database/CRUD/create.py | massenergize/portalBackEnd | 7ed971b2be13901667a216d8c8a46f0bed6d6ccd | [
"MIT"
] | 6 | 2020-03-13T20:29:06.000Z | 2021-08-20T16:15:08.000Z | """
This file contains code to post data from the database. This is meant to
centralize the insertion of data into the database so that multiple apps can
call on the methods in this file without having to define their own
and to prevent code redundancy.
"""
from ..models import *
from ..utils.common import ensure_re... | 25.180328 | 76 | 0.76888 |
cdccadfab450a4e9a57ce9f5439e430bde2038d3 | 527 | py | Python | tfutils/losses/losses.py | njchiang/tf-keras-utils | 6ea5e51ef3ca5729fbc71bf3cffecf4faec033dd | [
"MIT"
] | null | null | null | tfutils/losses/losses.py | njchiang/tf-keras-utils | 6ea5e51ef3ca5729fbc71bf3cffecf4faec033dd | [
"MIT"
] | null | null | null | tfutils/losses/losses.py | njchiang/tf-keras-utils | 6ea5e51ef3ca5729fbc71bf3cffecf4faec033dd | [
"MIT"
] | null | null | null | # this actually won't work with keras... not exactly a keras utility
import tensorflow as tf
# function is untested | 35.133333 | 68 | 0.660342 |
cdccf6c01653163bb8ca38561bfba641eb360f29 | 834 | py | Python | src/data_generator/vocab_builder.py | luciencho/jddc_solo | efddf0885d5e3c640835874f70d57d25123de141 | [
"BSD-3-Clause"
] | null | null | null | src/data_generator/vocab_builder.py | luciencho/jddc_solo | efddf0885d5e3c640835874f70d57d25123de141 | [
"BSD-3-Clause"
] | null | null | null | src/data_generator/vocab_builder.py | luciencho/jddc_solo | efddf0885d5e3c640835874f70d57d25123de141 | [
"BSD-3-Clause"
] | null | null | null | # coding:utf-8
from __future__ import unicode_literals
from __future__ import division
from __future__ import print_function
import os
from src.utils import utils
from src.data_generator import vocabulary
| 33.36 | 81 | 0.713429 |
cdd4efc2e23f55bb4467b8c8df8e0d1cdd72fa3d | 419 | py | Python | xas/queries/elastic.py | neuromore/msgxc | e74565a7991d80e5951ef22452521bcbca27fc92 | [
"Apache-2.0"
] | 1 | 2020-03-30T22:14:21.000Z | 2020-03-30T22:14:21.000Z | xas/queries/elastic.py | neuromore/msgxc | e74565a7991d80e5951ef22452521bcbca27fc92 | [
"Apache-2.0"
] | 12 | 2020-04-15T00:00:49.000Z | 2022-02-27T01:26:08.000Z | xas/queries/elastic.py | neuromore/msgxc | e74565a7991d80e5951ef22452521bcbca27fc92 | [
"Apache-2.0"
] | 4 | 2020-01-16T11:29:38.000Z | 2020-04-03T09:43:40.000Z | from elasticsearch import Elasticsearch
# TODO: Not implemented yet
es = Elasticsearch(["localhost"], sniff_on_connection_fail=True, sniffer_timeout=60) | 38.090909 | 84 | 0.649165 |
cdd5f8ad7b2f42d4bfe80a22a6bf9fc481e565ca | 2,750 | py | Python | U-NET/utils.py | HarshZ26/Object-Detection | 1d73f6aeb7452b0b26bd2713e69f340d129a5ba5 | [
"MIT"
] | 1 | 2022-03-23T15:49:02.000Z | 2022-03-23T15:49:02.000Z | U-NET/utils.py | HarshZ26/Object-Detection | 1d73f6aeb7452b0b26bd2713e69f340d129a5ba5 | [
"MIT"
] | null | null | null | U-NET/utils.py | HarshZ26/Object-Detection | 1d73f6aeb7452b0b26bd2713e69f340d129a5ba5 | [
"MIT"
] | null | null | null | from init import *
VOC_CLASSES = [
"background",
"aeroplane",
"bicycle",
"bird",
"boat",
"bottle",
"bus",
"car",
"cat",
"chair",
"cow",
"diningtable",
"dog",
"horse",
"motorbike",
"person",
"potted plant",
"sheep",
"sofa",... | 25.229358 | 105 | 0.577818 |
cdd753cdba3af6ee31cf0c550e2ee7e5c881ebc9 | 2,898 | py | Python | custom_components/skyq/classes/switchmaker.py | TomBrien/Home_Assistant_SkyQ_MediaPlayer | 50f9ad0d3b7a3bc2acc652415ff59740bf3ace10 | [
"MIT"
] | null | null | null | custom_components/skyq/classes/switchmaker.py | TomBrien/Home_Assistant_SkyQ_MediaPlayer | 50f9ad0d3b7a3bc2acc652415ff59740bf3ace10 | [
"MIT"
] | null | null | null | custom_components/skyq/classes/switchmaker.py | TomBrien/Home_Assistant_SkyQ_MediaPlayer | 50f9ad0d3b7a3bc2acc652415ff59740bf3ace10 | [
"MIT"
] | null | null | null | """
A utility function to generate yaml config for SkyQ media players.
To support easy usage with other home assistant integrations, e.g. google home
"""
import os.path as _path
import yaml
from ..const import CONST_ALIAS_FILENAME
| 30.1875 | 78 | 0.493444 |
cdd78b4b371ac658a03d1638d8afdbda0805a759 | 24,528 | py | Python | datawinners/accountmanagement/admin.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | 1 | 2015-11-02T09:11:12.000Z | 2015-11-02T09:11:12.000Z | datawinners/accountmanagement/admin.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | datawinners/accountmanagement/admin.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | # vim: ai ts=4 sts=4 et sw=4 encoding=utf-8
import datetime
import logging
from django.contrib.auth.admin import UserAdmin
from django.contrib.auth.forms import UserChangeForm
from django.core.exceptions import ValidationError
from django.forms import CharField
from django.utils.translation import ugettext_lazy as _
f... | 44.194595 | 218 | 0.677471 |
cddabebcaa2a91087a2f9f94dcd4f545a6f38cff | 283 | py | Python | tests/conftest.py | bayashi-cl/expander | b3623b656a71801233797e05781295a6101fefd8 | [
"CC0-1.0"
] | null | null | null | tests/conftest.py | bayashi-cl/expander | b3623b656a71801233797e05781295a6101fefd8 | [
"CC0-1.0"
] | 1 | 2022-03-12T20:41:21.000Z | 2022-03-13T06:34:30.000Z | tests/conftest.py | bayashi-cl/expander | b3623b656a71801233797e05781295a6101fefd8 | [
"CC0-1.0"
] | null | null | null | import pytest
from unittest import mock
import os
import pathlib
| 23.583333 | 72 | 0.713781 |
cddacc9ad1d4172e5208503da82fc4edfb83363e | 1,870 | py | Python | init/global_eq_FCtest/setup_fns.py | mattzett/GEMINI-examples | 9932cee67e88898bd00c34bab7ac0568e92e40ca | [
"Apache-2.0"
] | 1 | 2020-03-20T22:19:05.000Z | 2020-03-20T22:19:05.000Z | init/global_eq_FCtest/setup_fns.py | mattzett/GEMINI-examples | 9932cee67e88898bd00c34bab7ac0568e92e40ca | [
"Apache-2.0"
] | 3 | 2020-02-14T14:36:27.000Z | 2020-04-03T21:06:27.000Z | init/global_eq_FCtest/setup_fns.py | mattzett/GEMINI-examples | 9932cee67e88898bd00c34bab7ac0568e92e40ca | [
"Apache-2.0"
] | null | null | null | # This is mostly a repeat of model.setup from the pygemini repository except for that it setups up a periodic
# grid for us in full-globe simulations.
from __future__ import annotations
import argparse
from pathlib import Path
import typing as T
import shutil
import os
from gemini3d.config import read_nml
import g... | 29.68254 | 109 | 0.652941 |
cddc0485c396754b68315d1f0f82db760ff25dc5 | 2,580 | py | Python | floodfill_pathfinding.py | mnursey/Battlesnake-2021 | 884b9cf1b40c9b03cc49bd1594135e7caf41ee82 | [
"MIT"
] | null | null | null | floodfill_pathfinding.py | mnursey/Battlesnake-2021 | 884b9cf1b40c9b03cc49bd1594135e7caf41ee82 | [
"MIT"
] | null | null | null | floodfill_pathfinding.py | mnursey/Battlesnake-2021 | 884b9cf1b40c9b03cc49bd1594135e7caf41ee82 | [
"MIT"
] | null | null | null | import board
| 27.446809 | 117 | 0.445736 |
cddc0ce80665ce382edeabc67713697083130041 | 3,736 | py | Python | Gobot-Omni/robot.py | FRC1076/2019-Parade | 3824449ed10e33b401efb646fd2e6470c3941c8b | [
"MIT"
] | null | null | null | Gobot-Omni/robot.py | FRC1076/2019-Parade | 3824449ed10e33b401efb646fd2e6470c3941c8b | [
"MIT"
] | 2 | 2019-06-17T23:38:23.000Z | 2019-06-17T23:39:43.000Z | Gobot-Omni/robot.py | FRC1076/2019-Parade | 3824449ed10e33b401efb646fd2e6470c3941c8b | [
"MIT"
] | null | null | null | import wpilib
import ctre
from wpilib.drive import DifferentialDrive
from wpilib.interfaces import GenericHID
#MOTOR PORTS
LEFT = 1
RIGHT = 3
CENTER1 = 2
CENTER2 = 4
#BALL MANIPULATOR
BALL_MANIP_ID = 5
GATHER_SPEED = 1.0
SPIT_SPEED = -1.0
STOP_SPEED = 0.0
LEFT_HAND = GenericHID.Hand.kLeft
RIGHT_HAND = GenericHID.Han... | 27.470588 | 81 | 0.646413 |
cddcaaf10bf47f30133fae7ab0e9db139ac2e1cc | 1,789 | py | Python | src/tests/test_decorators.py | elifesciences/builder | 161829686f777f7ac7f97bd970395886ba5089c1 | [
"MIT"
] | 11 | 2017-03-01T18:00:30.000Z | 2021-12-10T05:11:02.000Z | src/tests/test_decorators.py | elifesciences/builder | 161829686f777f7ac7f97bd970395886ba5089c1 | [
"MIT"
] | 397 | 2016-07-08T14:39:46.000Z | 2022-03-30T12:45:09.000Z | src/tests/test_decorators.py | elifesciences/builder | 161829686f777f7ac7f97bd970395886ba5089c1 | [
"MIT"
] | 14 | 2016-07-13T08:33:28.000Z | 2020-04-22T21:42:21.000Z | from . import base
from mock import patch
import decorators
| 38.06383 | 97 | 0.653438 |
cddea9a721eee8e3cc13555afb08ee013159480b | 2,158 | py | Python | integration/emulator/device.py | cvlabmiet/master-programming-example | 8a4a231ba2b72a93ae14da2c04e17b2ae3fc6651 | [
"MIT"
] | null | null | null | integration/emulator/device.py | cvlabmiet/master-programming-example | 8a4a231ba2b72a93ae14da2c04e17b2ae3fc6651 | [
"MIT"
] | null | null | null | integration/emulator/device.py | cvlabmiet/master-programming-example | 8a4a231ba2b72a93ae14da2c04e17b2ae3fc6651 | [
"MIT"
] | null | null | null | import re, operator, array
from collections import namedtuple
| 33.2 | 123 | 0.561631 |
cde0f842eb62a19de3f38d4d8d1f8ff65a2ce325 | 10,538 | py | Python | Ramsey_RF_generator.py | bopopescu/Lauecollect | 60ae2b05ea8596ba0decf426e37aeaca0bc8b6be | [
"MIT"
] | null | null | null | Ramsey_RF_generator.py | bopopescu/Lauecollect | 60ae2b05ea8596ba0decf426e37aeaca0bc8b6be | [
"MIT"
] | 1 | 2019-10-22T21:28:31.000Z | 2019-10-22T21:39:12.000Z | Ramsey_RF_generator.py | bopopescu/Lauecollect | 60ae2b05ea8596ba0decf426e37aeaca0bc8b6be | [
"MIT"
] | 2 | 2019-06-06T15:06:46.000Z | 2020-07-20T02:03:22.000Z | """
Ramsay RSG1000B RF Signal Generator, controlled via RS-323 interface
See: Ramsay RSG1000B RF Signal Generator User Guide, p.10-11
Settings: 9600 baud, 8 bits, parity none, stop bits 1, flow control none
DB09 connector pin 2 = TxD, 3 = RxD, 5 = Ground
The controller accepts unterminate ASCII text commands and gene... | 36.089041 | 101 | 0.584836 |
cde603f7c8844ec9a35ff25bb6a1c13b5f4bbf79 | 819 | py | Python | modules/file_helper.py | dada00321/ntust_moodle_resource_crawler | cc5d424ab9440d8e67bb072977fc58740d8bc968 | [
"MIT"
] | null | null | null | modules/file_helper.py | dada00321/ntust_moodle_resource_crawler | cc5d424ab9440d8e67bb072977fc58740d8bc968 | [
"MIT"
] | null | null | null | modules/file_helper.py | dada00321/ntust_moodle_resource_crawler | cc5d424ab9440d8e67bb072977fc58740d8bc968 | [
"MIT"
] | null | null | null | import json
def save_json(dict_, json_filepath):
''' [Example] Write JSON '''
'''
dict_ = {"0":{"title":"test-A", "is-available": False, "link":"https://www.AAA.XXX..."},
"1":{"title":"test-B", "is-available": True, "link":"https://www.BBB.XXX..."}}
with open("dict_.txt", 'w') as output_fi... | 31.5 | 92 | 0.570208 |
cde6ca9c0b5b99aea51fe8a0efe3ed98163008e0 | 17,570 | py | Python | win/pywinauto/findbestmatch.py | sk8darr/BrowserRefresh-Sublime | daee0eda6480c07f8636ed24e5c555d24e088886 | [
"MIT",
"Unlicense"
] | 191 | 2015-01-02T12:17:07.000Z | 2021-05-26T09:26:05.000Z | win/pywinauto/findbestmatch.py | sk8darr/BrowserRefresh-Sublime | daee0eda6480c07f8636ed24e5c555d24e088886 | [
"MIT",
"Unlicense"
] | 48 | 2015-01-14T00:57:36.000Z | 2021-04-06T21:45:42.000Z | win/pywinauto/findbestmatch.py | sk8darr/BrowserRefresh-Sublime | daee0eda6480c07f8636ed24e5c555d24e088886 | [
"MIT",
"Unlicense"
] | 36 | 2015-01-14T18:54:25.000Z | 2021-07-18T10:54:42.000Z | # GUI Application automation and testing library
# Copyright (C) 2006 Mark Mc Mahon
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public License
# as published by the Free Software Foundation; either version 2.1
# of the License, or (at you... | 32.657993 | 86 | 0.594878 |
cde9443d5f9dce44149feca0d10e665a2fbcf090 | 1,074 | py | Python | setup.py | boichee/fabricator | 33ad4fa615c153817b014d6b7fe9807f1752db25 | [
"MIT"
] | 11 | 2018-07-09T07:08:16.000Z | 2018-07-13T14:05:46.000Z | setup.py | boichee/fabricator | 33ad4fa615c153817b014d6b7fe9807f1752db25 | [
"MIT"
] | 3 | 2020-03-24T17:37:47.000Z | 2021-02-02T22:18:59.000Z | setup.py | boichee/fabricator | 33ad4fa615c153817b014d6b7fe9807f1752db25 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
exclude_dirs = ['ez_setup', 'examples', 'tests', 'venv']
# Runtime requirements
reqs = [
'requests',
'six',
'future',
'aenum'
]
# Requirements for testing
test_reqs = ['pytest', 'hypothesis', 'requests_mock']
# Requirements for setup
setup_reqs = ['flake8'... | 26.85 | 83 | 0.650838 |
cde9a03010ce87292ba1da645b7d397d96cc724e | 115 | py | Python | aitoolbox/cloud/__init__.py | mv1388/AIToolbox | c64ac4810a02d230ce471d86b758e82ea232a7e7 | [
"MIT"
] | 3 | 2019-10-12T12:24:09.000Z | 2020-08-02T02:42:43.000Z | aitoolbox/cloud/__init__.py | mv1388/aitoolbox | 1060435e6cbdfd19abcb726c4080b663536b7467 | [
"MIT"
] | 3 | 2020-04-10T14:07:07.000Z | 2020-04-22T19:04:38.000Z | aitoolbox/cloud/__init__.py | mv1388/aitoolbox | 1060435e6cbdfd19abcb726c4080b663536b7467 | [
"MIT"
] | null | null | null | s3_available_options = ['s3', 'aws_s3', 'aws']
gcs_available_options = ['gcs', 'google_storage', 'google storage']
| 38.333333 | 67 | 0.713043 |
cde9dfcf27b3e92945a09440ebd5cd1eb09e8452 | 12,607 | py | Python | src/gan/ccgan/ccGAN.py | matkir/Master_programs | 70c4c399f9c9fc3e1643e78694223b24d7b94b18 | [
"MIT"
] | null | null | null | src/gan/ccgan/ccGAN.py | matkir/Master_programs | 70c4c399f9c9fc3e1643e78694223b24d7b94b18 | [
"MIT"
] | null | null | null | src/gan/ccgan/ccGAN.py | matkir/Master_programs | 70c4c399f9c9fc3e1643e78694223b24d7b94b18 | [
"MIT"
] | null | null | null | from __future__ import print_function, division
if __name__=='__main__':
from cc_weights import Weight_model
else:
from . import Weight_model
from keras.models import load_model
import keras.backend as K
import plotload
import sys
from selector import Selector
#from masker import mask_from_template,mask_randoml... | 41.199346 | 142 | 0.546601 |
cdea49e6abeeb4e6ceb631ab1583ede7c457b5ed | 6,585 | py | Python | synapse/server.py | uroborus/synapse | 270825ab2a3e16bb8ffcdbcea058efd28a38e8e1 | [
"Apache-2.0"
] | 1 | 2021-09-09T08:50:20.000Z | 2021-09-09T08:50:20.000Z | synapse/server.py | uroborus/synapse | 270825ab2a3e16bb8ffcdbcea058efd28a38e8e1 | [
"Apache-2.0"
] | null | null | null | synapse/server.py | uroborus/synapse | 270825ab2a3e16bb8ffcdbcea058efd28a38e8e1 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2014 OpenMarket Ltd
#
# 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 la... | 31.658654 | 79 | 0.665907 |
cdea57f865285710bac46af78cc530224ae5efeb | 359 | py | Python | pythonforandroid/recipes/kivy/__init__.py | inclement/p4a-experiment | 4e120e08cc3c33af89948307628c8b28fdf76b87 | [
"MIT"
] | 1 | 2015-06-09T21:12:09.000Z | 2015-06-09T21:12:09.000Z | pythonforandroid/recipes/kivy/__init__.py | inclement/p4a-experiment | 4e120e08cc3c33af89948307628c8b28fdf76b87 | [
"MIT"
] | null | null | null | pythonforandroid/recipes/kivy/__init__.py | inclement/p4a-experiment | 4e120e08cc3c33af89948307628c8b28fdf76b87 | [
"MIT"
] | null | null | null |
from pythonforandroid.toolchain import CythonRecipe, shprint, current_directory, ArchAndroid
from os.path import exists, join
import sh
import glob
recipe = KivyRecipe()
| 21.117647 | 92 | 0.721448 |
cdeaa27ba25e454daf95595f163fae1a13887999 | 1,220 | py | Python | chat.py | Programmer-RD-AI/Learning-NLP-PyTorch | 5780598340308995c0b8436d3031aa58ee7b81da | [
"Apache-2.0"
] | null | null | null | chat.py | Programmer-RD-AI/Learning-NLP-PyTorch | 5780598340308995c0b8436d3031aa58ee7b81da | [
"Apache-2.0"
] | null | null | null | chat.py | Programmer-RD-AI/Learning-NLP-PyTorch | 5780598340308995c0b8436d3031aa58ee7b81da | [
"Apache-2.0"
] | null | null | null | import random
import json
import torch
from model import NeuralNet
from nltk_utils import *
device = "cuda"
with open('intents.json','r') as f:
intents = json.load(f)
FILE = 'data.pth'
data = torch.load(FILE)
input_size = data['input_size']
output_size = data['output_size']
hidden_size = data['hidden_size']
all_wor... | 29.047619 | 74 | 0.648361 |
cdeb4f70b3a53f9cb3413cfdc25708394eec070f | 329 | py | Python | Jay_Redis/Jay_Redis/utils/GetProxyIp.py | kimsax/gratuation_project | 99f842753f3403d3fdcd62316cf6a8d0091a5871 | [
"MIT"
] | 1 | 2021-03-02T08:04:25.000Z | 2021-03-02T08:04:25.000Z | Jay_Redis/Jay_Redis/utils/GetProxyIp.py | kimsax/gratuation_project | 99f842753f3403d3fdcd62316cf6a8d0091a5871 | [
"MIT"
] | null | null | null | Jay_Redis/Jay_Redis/utils/GetProxyIp.py | kimsax/gratuation_project | 99f842753f3403d3fdcd62316cf6a8d0091a5871 | [
"MIT"
] | null | null | null | # -*- utf-8 -*-
import random
import redis
import requests
# GetIps()
| 20.5625 | 60 | 0.580547 |
cdeb9ce72d1bf949c4fdc2a94b43168b90c61e61 | 876 | py | Python | setup.py | tbz-pariv/ftpservercontext | 426e98dd4983cc6977c4d071a831874726c0fae2 | [
"Apache-2.0"
] | 2 | 2019-04-18T12:28:58.000Z | 2021-01-04T14:52:07.000Z | setup.py | tbz-pariv/ftpservercontext | 426e98dd4983cc6977c4d071a831874726c0fae2 | [
"Apache-2.0"
] | 1 | 2019-01-04T14:46:00.000Z | 2019-06-04T12:31:45.000Z | setup.py | tbz-pariv/ftpservercontext | 426e98dd4983cc6977c4d071a831874726c0fae2 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import setuptools
setuptools.setup(
name='ftpservercontext',
version='2018.3.0',
license='commercial',
author='Thomas Guettler',
author_email='guettliml.ftpservercontext@thomas-guettler.de',
url='https://github.com/tbz-pariv/ftpservercontext',
long_description=open(... | 29.2 | 106 | 0.696347 |
cdecd7c4bafe572b5e961bd73c1a75878f9feaa8 | 3,428 | py | Python | zoomeye/cli.py | r0oike/zoomeye-python | b93f1c9c350e4fce7580f9f71ab1e76d06ce165d | [
"Apache-2.0"
] | null | null | null | zoomeye/cli.py | r0oike/zoomeye-python | b93f1c9c350e4fce7580f9f71ab1e76d06ce165d | [
"Apache-2.0"
] | null | null | null | zoomeye/cli.py | r0oike/zoomeye-python | b93f1c9c350e4fce7580f9f71ab1e76d06ce165d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
* Filename: cli.py
* Description: cli program entry
* Time: 2020.11.30
* Author: liuf5
*/
"""
import os
import sys
import argparse
module_path = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
sys.path.insert(1, module_path)
from zoomeye import core
... | 26.369231 | 110 | 0.606768 |
cdece39680fd28858374924d70a1d3ff5d97fb90 | 462 | py | Python | statapy/regression/tests.py | DhananjayAshok/PyStata | b592414d78b87d565d8c59ae9487478a792b8c84 | [
"Apache-2.0"
] | null | null | null | statapy/regression/tests.py | DhananjayAshok/PyStata | b592414d78b87d565d8c59ae9487478a792b8c84 | [
"Apache-2.0"
] | null | null | null | statapy/regression/tests.py | DhananjayAshok/PyStata | b592414d78b87d565d8c59ae9487478a792b8c84 | [
"Apache-2.0"
] | null | null | null | import scipy.stats as stats
def mannwhitneyu(sample_0, sample_1, one_sided=False):
"""
Performs the Mann-Whitney U test
:param sample_0: array of values
:param sample_1: array of values
:param one_sided: True iff you want to use less than alternative hypothesis
:return: statistic, pvalue
"... | 35.538462 | 102 | 0.722944 |
cdeceab8b898ec021afc4aa90ddeda2bd76d683c | 862 | py | Python | 3) Cartoonizing and Video Capture/#1 Accessing the webcam/webcam_access.py | RezaFirouzii/python-opencv-review | 454a2be7fa36516a2b1fbd4e6162068bba25c989 | [
"MIT"
] | null | null | null | 3) Cartoonizing and Video Capture/#1 Accessing the webcam/webcam_access.py | RezaFirouzii/python-opencv-review | 454a2be7fa36516a2b1fbd4e6162068bba25c989 | [
"MIT"
] | null | null | null | 3) Cartoonizing and Video Capture/#1 Accessing the webcam/webcam_access.py | RezaFirouzii/python-opencv-review | 454a2be7fa36516a2b1fbd4e6162068bba25c989 | [
"MIT"
] | null | null | null | import cv2 as cv
if __name__ == "__main__":
# 0 => first (default) webcam connected,
# 1 => second webcam and so on.
cap = cv.VideoCapture(0, cv.CAP_DSHOW)
# cv.namedWindow("Window")
if not cap.isOpened():
raise IOError("Webcam could not be opened!")
while True:
... | 25.352941 | 61 | 0.597448 |
cdf16ad97ffce90e11c1fa4d69eb40752cd40a16 | 3,928 | py | Python | apps/sso/access_requests/models.py | g10f/sso | ba6eb712add388c69d4880f5620a2e4ce42d3fee | [
"BSD-3-Clause"
] | 3 | 2021-05-16T17:06:57.000Z | 2021-05-28T17:14:05.000Z | apps/sso/access_requests/models.py | g10f/sso | ba6eb712add388c69d4880f5620a2e4ce42d3fee | [
"BSD-3-Clause"
] | null | null | null | apps/sso/access_requests/models.py | g10f/sso | ba6eb712add388c69d4880f5620a2e4ce42d3fee | [
"BSD-3-Clause"
] | null | null | null | import datetime
from current_user.models import CurrentUserField
from django.conf import settings
from django.db import models
from django.urls import reverse
from django.utils.timezone import now
from django.utils.translation import gettext_lazy as _
from sso.accounts.models import Application
from sso.models import ... | 39.28 | 111 | 0.649949 |
cdf35f3aa036ddd5079307083d76c1f9e474653b | 1,518 | py | Python | test/snr_test.py | AP-Atul/wavelets | cff71e777759844b35f8e96f14930b2c71a215a1 | [
"MIT"
] | 5 | 2021-02-01T07:43:39.000Z | 2022-03-25T05:01:31.000Z | test/snr_test.py | AP-Atul/wavelets | cff71e777759844b35f8e96f14930b2c71a215a1 | [
"MIT"
] | null | null | null | test/snr_test.py | AP-Atul/wavelets | cff71e777759844b35f8e96f14930b2c71a215a1 | [
"MIT"
] | null | null | null | import os
from time import time
import numpy as np
import soundfile
from matplotlib import pyplot as plt
from wavelet.fast_transform import FastWaveletTransform
from wavelet.util.utility import threshold, mad, snr, amp_to_db
INPUT_FILE = "/example/input/file.wav"
OUTPUT_DIR = "/example/output/"
info = soundfile.inf... | 29.192308 | 108 | 0.689065 |
cdf4a1acc53ac8000703136e7a930c389adce55b | 1,546 | py | Python | KeyHookThread.py | v2okimochi/Keasy | 0c4d480a4b9fc88f47bbc11ed4ca248cbdc488f2 | [
"MIT"
] | 1 | 2018-10-25T01:31:15.000Z | 2018-10-25T01:31:15.000Z | KeyHookThread.py | v2okimochi/Keasy | 0c4d480a4b9fc88f47bbc11ed4ca248cbdc488f2 | [
"MIT"
] | 1 | 2018-07-16T01:39:39.000Z | 2018-07-16T01:39:39.000Z | KeyHookThread.py | v2okimochi/Keasy | 0c4d480a4b9fc88f47bbc11ed4ca248cbdc488f2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from pynput import keyboard
from PyQt5.QtCore import QThread, pyqtSignal
| 29.730769 | 72 | 0.599612 |
cdf4c8116e9e2bbcc1b35461d7c08335801aaba4 | 2,243 | py | Python | nad_receiver/nad_commands.py | mindigmarton/nad_receiver | 9449699d076011caf560d8c4384a9b1bf2512080 | [
"MIT"
] | null | null | null | nad_receiver/nad_commands.py | mindigmarton/nad_receiver | 9449699d076011caf560d8c4384a9b1bf2512080 | [
"MIT"
] | null | null | null | nad_receiver/nad_commands.py | mindigmarton/nad_receiver | 9449699d076011caf560d8c4384a9b1bf2512080 | [
"MIT"
] | null | null | null | """
Commands and operators used by NAD.
CMDS[domain][function]
"""
CMDS = {
'main':
{
'dimmer':
{'cmd': 'Main.Dimmer',
'supported_operators': ['+', '-', '=', '?']
},
'mute':
{'cmd': 'Main.Mute',
'supp... | 30.310811 | 60 | 0.296478 |
cdf8455878051f84938cb9a928fc16329abe82f4 | 7,846 | py | Python | ui/Ui_addsite.py | EUFAR/asmm-eufar | 69ede7a24f757392e63f04091e86c50ab129016f | [
"BSD-3-Clause"
] | null | null | null | ui/Ui_addsite.py | EUFAR/asmm-eufar | 69ede7a24f757392e63f04091e86c50ab129016f | [
"BSD-3-Clause"
] | 2 | 2015-06-12T09:28:29.000Z | 2015-06-12T09:34:16.000Z | ui/Ui_addsite.py | eufarn7sp/asmm-eufar | 69ede7a24f757392e63f04091e86c50ab129016f | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'addsite.ui'
#
# Created by: PyQt5 UI code generator 5.6
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
| 46.702381 | 115 | 0.672827 |
cdf8ea07b2a210313250ff1ccb9f4bf6d44a0053 | 1,772 | py | Python | testmile-setu/setu/dispatcher/broker.py | test-mile/setu | b273a11e7f9462e64a370bda16f1952ecdbfb5a5 | [
"Apache-2.0"
] | null | null | null | testmile-setu/setu/dispatcher/broker.py | test-mile/setu | b273a11e7f9462e64a370bda16f1952ecdbfb5a5 | [
"Apache-2.0"
] | null | null | null | testmile-setu/setu/dispatcher/broker.py | test-mile/setu | b273a11e7f9462e64a370bda16f1952ecdbfb5a5 | [
"Apache-2.0"
] | null | null | null | from enum import Enum, auto
| 23.012987 | 48 | 0.682844 |
cdf93d47f329e66522fe3776469675377c2e7349 | 1,758 | py | Python | leetcode/0566_reshape_the_matrix.py | chaosWsF/Python-Practice | ff617675b6bcd125933024bb4c246b63a272314d | [
"BSD-2-Clause"
] | null | null | null | leetcode/0566_reshape_the_matrix.py | chaosWsF/Python-Practice | ff617675b6bcd125933024bb4c246b63a272314d | [
"BSD-2-Clause"
] | null | null | null | leetcode/0566_reshape_the_matrix.py | chaosWsF/Python-Practice | ff617675b6bcd125933024bb4c246b63a272314d | [
"BSD-2-Clause"
] | null | null | null | """
In MATLAB, there is a very useful function called 'reshape', which can reshape a matrix into
a new one with different size but keep its original data. You're given a matrix represented
by a two-dimensional array, and two positive integers r and c representing the row number and
column number of the wanted reshap... | 33.807692 | 100 | 0.606371 |
cdfba4673ccb2b05e2ef7ddcaa8aeaa3095e7451 | 4,629 | py | Python | python/main.py | LaraProject/rnn2java | f35b1b98f74864d4310e7866ad5271ae5389292d | [
"MIT"
] | null | null | null | python/main.py | LaraProject/rnn2java | f35b1b98f74864d4310e7866ad5271ae5389292d | [
"MIT"
] | null | null | null | python/main.py | LaraProject/rnn2java | f35b1b98f74864d4310e7866ad5271ae5389292d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import socket
import select
from time import sleep
import message_pb2
from google.protobuf.internal import encoder
import tensorflow as tf
from tensorflow.keras import preprocessing
import pickle
import numpy as np
## RNN part
# Load the inference model
# Load the tokenizer
# Talking with our... | 32.598592 | 140 | 0.712249 |
cdfbbb1e16902c1d3761509ecf7d21633da2152a | 161,322 | py | Python | dlkit/json_/authorization/sessions.py | UOC/dlkit | a9d265db67e81b9e0f405457464e762e2c03f769 | [
"MIT"
] | 2 | 2018-02-23T12:16:11.000Z | 2020-10-08T17:54:24.000Z | dlkit/json_/authorization/sessions.py | UOC/dlkit | a9d265db67e81b9e0f405457464e762e2c03f769 | [
"MIT"
] | 87 | 2017-04-21T18:57:15.000Z | 2021-12-13T19:43:57.000Z | dlkit/json_/authorization/sessions.py | UOC/dlkit | a9d265db67e81b9e0f405457464e762e2c03f769 | [
"MIT"
] | 1 | 2018-03-01T16:44:25.000Z | 2018-03-01T16:44:25.000Z | """JSON implementations of authorization sessions."""
# pylint: disable=no-init
# Numerous classes don't require __init__.
# pylint: disable=too-many-public-methods,too-few-public-methods
# Number of methods are defined in specification
# pylint: disable=protected-access
# Access to protected methods allow... | 45.960684 | 186 | 0.654709 |
cdfc9bf4504d5cc25bda0a98802b00001e0b1b9c | 1,031 | py | Python | LeetCode/516-longest-palindromic-subsequence.py | leaving-voider/LeetCode.cn-Record | 2922cbdab85556bc0625adc9e6ce44849232e4f4 | [
"MIT"
] | null | null | null | LeetCode/516-longest-palindromic-subsequence.py | leaving-voider/LeetCode.cn-Record | 2922cbdab85556bc0625adc9e6ce44849232e4f4 | [
"MIT"
] | null | null | null | LeetCode/516-longest-palindromic-subsequence.py | leaving-voider/LeetCode.cn-Record | 2922cbdab85556bc0625adc9e6ce44849232e4f4 | [
"MIT"
] | null | null | null | ###############################################################################################
# 5.
# dp
###########
# O(n^2)
# O(n^2)
###############################################################################################
| 44.826087 | 131 | 0.354995 |
cdfcd2a90ed7ec6257eb01c41e93f4909519bbec | 3,427 | py | Python | examples/vae.py | zhangyewu/edward | 8ec452eb0a3801df8bda984796034a9e945faec7 | [
"Apache-2.0"
] | 5,200 | 2016-05-03T04:59:01.000Z | 2022-03-31T03:32:26.000Z | examples/vae.py | zhangyewu/edward | 8ec452eb0a3801df8bda984796034a9e945faec7 | [
"Apache-2.0"
] | 724 | 2016-05-04T09:04:37.000Z | 2022-02-28T02:41:12.000Z | examples/vae.py | zhangyewu/edward | 8ec452eb0a3801df8bda984796034a9e945faec7 | [
"Apache-2.0"
] | 1,004 | 2016-05-03T22:45:14.000Z | 2022-03-25T00:08:08.000Z | """Variational auto-encoder for MNIST data.
References
----------
http://edwardlib.org/tutorials/decoder
http://edwardlib.org/tutorials/inference-networks
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import edward as ed
import numpy as np
import os
i... | 31.731481 | 77 | 0.676685 |
cdff5880102eb2ba8d22b6cbec2e9bb5407da963 | 2,196 | py | Python | backup.py | BigBlueHat/copy-couch | ab4759540faecae8239c94e8045f7fce1f4a4914 | [
"Apache-2.0"
] | null | null | null | backup.py | BigBlueHat/copy-couch | ab4759540faecae8239c94e8045f7fce1f4a4914 | [
"Apache-2.0"
] | null | null | null | backup.py | BigBlueHat/copy-couch | ab4759540faecae8239c94e8045f7fce1f4a4914 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""copy-couch makes copies of couches. no joke.
License: Apache 2.0 - http://opensource.org/licenses/Apache-2.0
"""
import argparse
import base64
import ConfigParser
import datetime
import json
import requests
argparser = argparse.ArgumentParser()
argparser.add_argument('config_file', type=fi... | 29.675676 | 74 | 0.659836 |
a8042d0c00c4fb676c0f0e3967070e3d72d5ef12 | 3,568 | py | Python | import_scripts/gpcc2gcmon.py | Jozelito/Raster2TXT | 337c87298ffc6227ca952e9e5cd17a54979e2224 | [
"MIT"
] | null | null | null | import_scripts/gpcc2gcmon.py | Jozelito/Raster2TXT | 337c87298ffc6227ca952e9e5cd17a54979e2224 | [
"MIT"
] | null | null | null | import_scripts/gpcc2gcmon.py | Jozelito/Raster2TXT | 337c87298ffc6227ca952e9e5cd17a54979e2224 | [
"MIT"
] | 1 | 2018-05-29T21:16:44.000Z | 2018-05-29T21:16:44.000Z | #Script para la importacion de datos netCDF de un mes del GPCC en PostGIS.
#Autor: Jos I. lvarez Francoso
import sys
from osgeo import gdal, ogr, osr
from osgeo.gdalconst import GA_ReadOnly, GA_Update
# Funcion para sobreescribir el mensaje de porcentaje completado
if __name__ == '__main__':
# El usuario tiene q... | 36.783505 | 107 | 0.711323 |
a804975ed4327041257e7e887706be1ffc7b7803 | 2,829 | py | Python | app.py | Raisler/Brazil_HDI_DataVisualization | 76dde95dd1a7171e30a4a2e180a9ecdcea6f8c7c | [
"MIT"
] | null | null | null | app.py | Raisler/Brazil_HDI_DataVisualization | 76dde95dd1a7171e30a4a2e180a9ecdcea6f8c7c | [
"MIT"
] | null | null | null | app.py | Raisler/Brazil_HDI_DataVisualization | 76dde95dd1a7171e30a4a2e180a9ecdcea6f8c7c | [
"MIT"
] | null | null | null | import streamlit as st
import pandas as pd
import numpy as np
import plotly.express as px
from plotly.subplots import make_subplots
import plotly.graph_objects as go
import matplotlib.pyplot as plt
df = load_data('hdi.csv')
st.title('Human Development Index in Brazil')
select = st.sidebar.selectbox('Choose', ['Home'... | 40.414286 | 144 | 0.679392 |
a804e02acc0b6d5ed28538bc5bf647eab91b6259 | 657 | py | Python | Examples/pycomBlink/main.py | sophie-bernier/RemoteOceanAcidificationMonitor | 6a8b799826a2eb9b1d5064883193c61eea0ee310 | [
"Unlicense"
] | 1 | 2021-06-22T23:07:31.000Z | 2021-06-22T23:07:31.000Z | Examples/pycomBlink/main.py | sophie-bernier/RemoteOceanAcidificationMonitor | 6a8b799826a2eb9b1d5064883193c61eea0ee310 | [
"Unlicense"
] | null | null | null | Examples/pycomBlink/main.py | sophie-bernier/RemoteOceanAcidificationMonitor | 6a8b799826a2eb9b1d5064883193c61eea0ee310 | [
"Unlicense"
] | null | null | null | # main.py
import pycom
import time
pycom.heartbeat(False)
red = 0x08
blue = 0x00
green = 0x00
sleepTime = 0.01
while True:
###
#if red >= 0x08:
# if green > 0:
# green -= 1
# else:
# blue += 1
#if blue >= 0x08:
# if red > 0:
# red -= 1
# else:
... | 16.425 | 49 | 0.464231 |
a8054920242ac3e7b7e99120e329e53db3f718af | 1,891 | py | Python | dsn/pp/construct.py | expressionsofchange/nerf0 | 788203619fc89c92e8c7301d62bbc4f1f4ee66e1 | [
"MIT"
] | 2 | 2019-04-30T05:42:05.000Z | 2019-08-11T19:17:20.000Z | dsn/pp/construct.py | expressionsofchange/nerf0 | 788203619fc89c92e8c7301d62bbc4f1f4ee66e1 | [
"MIT"
] | null | null | null | dsn/pp/construct.py | expressionsofchange/nerf0 | 788203619fc89c92e8c7301d62bbc4f1f4ee66e1 | [
"MIT"
] | null | null | null | from spacetime import get_s_address_for_t_address
from s_address import node_for_s_address
from dsn.s_expr.structure import TreeText
from dsn.pp.structure import PPNone, PPSingleLine, PPLispy, PPAnnotatedSExpr
from dsn.pp.clef import PPUnset, PPSetSingleLine, PPSetLispy
def construct_pp_tree(tree, pp_annotations):... | 35.679245 | 120 | 0.710206 |
a8058f52d55c838079c4a938e2376efb1f6aa6ab | 3,704 | py | Python | geneparse/__init__.py | legaultmarc/geneparse | 5a844df77ded5adc765a086a8d346fce6ba01f3d | [
"MIT"
] | 4 | 2018-11-09T11:10:24.000Z | 2021-07-23T22:17:58.000Z | geneparse/__init__.py | legaultmarc/geneparse | 5a844df77ded5adc765a086a8d346fce6ba01f3d | [
"MIT"
] | 5 | 2017-05-02T15:28:01.000Z | 2018-04-16T18:29:15.000Z | geneparse/__init__.py | legaultmarc/geneparse | 5a844df77ded5adc765a086a8d346fce6ba01f3d | [
"MIT"
] | 1 | 2017-05-12T17:58:32.000Z | 2017-05-12T17:58:32.000Z | """A module to parse genetics file formats."""
# This file is part of geneparse.
#
# The MIT License (MIT)
#
# Copyright (c) 2017 Pharmacogenomics Centre
#
# 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... | 37.04 | 79 | 0.687365 |
a8065cec94c9ac0bb277d2b7b2c4a7aa013dd5ba | 3,285 | py | Python | pallet.py | sprightlyManifesto/cadQuery2 | 207a1ff2420210460539400dfd1945e8b7245497 | [
"MIT"
] | 1 | 2021-05-31T00:08:02.000Z | 2021-05-31T00:08:02.000Z | pallet.py | sprightlyManifesto/cadQuery2 | 207a1ff2420210460539400dfd1945e8b7245497 | [
"MIT"
] | null | null | null | pallet.py | sprightlyManifesto/cadQuery2 | 207a1ff2420210460539400dfd1945e8b7245497 | [
"MIT"
] | null | null | null | from cadquery import *
from math import sin,cos,acos,asin,pi,atan2
if __name__== "__main__":
p = Pallet()
ks = list(p.torx6.keys())
ks.reverse()
a = cq.Workplane().circle(12).extrude(-3)
for k in ks:
a = a.union(p.torx(a.faces(">Z").workplane(),k).extrude(1))
| 48.308824 | 101 | 0.497717 |
a8071813703c97e154c1a58b74d953608becaf8d | 235 | py | Python | old-regressions/python/tst6.py | muchang/z3test | e3e7739f98b7aa85427fcb8a39a4c675132a896e | [
"MIT"
] | 23 | 2015-04-20T08:51:00.000Z | 2021-11-15T12:20:59.000Z | old-regressions/python/tst6.py | muchang/z3test | e3e7739f98b7aa85427fcb8a39a4c675132a896e | [
"MIT"
] | 18 | 2016-03-02T15:17:42.000Z | 2021-12-16T22:10:05.000Z | old-regressions/python/tst6.py | muchang/z3test | e3e7739f98b7aa85427fcb8a39a4c675132a896e | [
"MIT"
] | 30 | 2015-05-30T15:29:17.000Z | 2022-02-25T15:58:58.000Z |
# Copyright (c) 2015 Microsoft Corporation
from z3 import *
print(simplify(Sqrt(2)).sexpr())
set_option(":pp-decimal-precision", 50, pp_decimal=True)
print(simplify(Sqrt(2)).sexpr())
set_option(precision=20)
print(simplify(Sqrt(2)))
| 23.5 | 56 | 0.744681 |
a808c833e4004773a8618ea9f6a2827bf0e5f1ca | 2,044 | py | Python | data-detective-airflow/tests/dag_generator/test_tdag.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 5 | 2021-12-01T09:55:23.000Z | 2021-12-21T16:23:33.000Z | data-detective-airflow/tests/dag_generator/test_tdag.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 1 | 2021-11-16T15:55:34.000Z | 2021-11-16T15:55:34.000Z | data-detective-airflow/tests/dag_generator/test_tdag.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 2 | 2021-11-03T09:43:09.000Z | 2021-11-17T10:16:29.000Z | import pytest
import allure
from data_detective_airflow.constants import PG_CONN_ID, S3_CONN_ID
from data_detective_airflow.dag_generator.results import PgResult, PickleResult
from data_detective_airflow.dag_generator import ResultType, WorkType
| 41.714286 | 88 | 0.611546 |
a8094575efb5f9d3bcb611dcb83074209e70f07f | 478 | py | Python | Algorithms/Easy/830. Positions of Large Groups/answer.py | KenWoo/Algorithm | 4012a2f0a099a502df1e5df2e39faa75fe6463e8 | [
"Apache-2.0"
] | null | null | null | Algorithms/Easy/830. Positions of Large Groups/answer.py | KenWoo/Algorithm | 4012a2f0a099a502df1e5df2e39faa75fe6463e8 | [
"Apache-2.0"
] | null | null | null | Algorithms/Easy/830. Positions of Large Groups/answer.py | KenWoo/Algorithm | 4012a2f0a099a502df1e5df2e39faa75fe6463e8 | [
"Apache-2.0"
] | null | null | null | from typing import List
if __name__ == "__main__":
s = Solution()
result = s.largeGroupPositions("abc")
print(result)
| 22.761905 | 61 | 0.493724 |
a80a22c9f777e08edf7fe7ed83b93c4fd1e307bc | 1,727 | py | Python | imu.py | aume1/SatelliteTracker | 62725e1d1a72a1350b2af15d9e33fcd574ceb3a2 | [
"MIT"
] | 2 | 2021-06-19T17:17:30.000Z | 2021-06-19T17:17:39.000Z | imu.py | aume1/SatelliteTracker | 62725e1d1a72a1350b2af15d9e33fcd574ceb3a2 | [
"MIT"
] | null | null | null | imu.py | aume1/SatelliteTracker | 62725e1d1a72a1350b2af15d9e33fcd574ceb3a2 | [
"MIT"
] | 1 | 2021-06-19T17:18:32.000Z | 2021-06-19T17:18:32.000Z | import time
import math
import py_qmc5883l
import pigpio
import adafruit_bmp280
from i2c_ADXL345 import ADXL345
import numpy as np
from i2c_ITG3205 import Gyro
if __name__ == "__main__":
pi = pigpio.pi('192.168.178.229')
imu = IMU(pi)
while True:
print(imu.get_roll_pitch_yaw())
| 28.311475 | 104 | 0.579618 |