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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7e7440fb1d1c7e95290bfc94cc2ad2a4debb8384 | 734 | py | Python | main.py | henryfox/encrypted-chat | c69ba786892dd870cb3fddd7da6ea77eadeb4a7e | [
"MIT"
] | null | null | null | main.py | henryfox/encrypted-chat | c69ba786892dd870cb3fddd7da6ea77eadeb4a7e | [
"MIT"
] | null | null | null | main.py | henryfox/encrypted-chat | c69ba786892dd870cb3fddd7da6ea77eadeb4a7e | [
"MIT"
] | null | null | null | import webapp2
import os
import jinja2
from google.appengine.ext import db
template_dir = os.path.join(os.path.dirname(__file__), "templates")
jinja_env = jinja2.Environment(loader = jinja2.FileSystemLoader(template_dir), autoescape = True)
app = webapp2.WSGIApplication([
('/', MainHandler)
], debug=True)
| 27.185185 | 98 | 0.690736 |
7e74455914c904362f3673de521f4d7c1b0cced0 | 32,898 | py | Python | lib/data_processing.py | ofirmg/football2vec | 302dc89bcdb19d00a7bd23ae8d28c103bc2f0482 | [
"Apache-2.0"
] | 11 | 2021-10-01T15:14:41.000Z | 2022-03-31T02:26:08.000Z | lib/data_processing.py | ofirmg/football2vec | 302dc89bcdb19d00a7bd23ae8d28c103bc2f0482 | [
"Apache-2.0"
] | null | null | null | lib/data_processing.py | ofirmg/football2vec | 302dc89bcdb19d00a7bd23ae8d28c103bc2f0482 | [
"Apache-2.0"
] | 1 | 2022-03-17T17:38:06.000Z | 2022-03-17T17:38:06.000Z | """
Created on September 5 2021
Data processing module of football2vec. Contains classes: FootballTokenizer, Corpus.
Also contains the build_data_objects function and its nested function for building the core data objects.
@author: Ofir Magdaci (@Magdaci)
"""
import numpy as np
import pandas as pd
import ast
from t... | 54.466887 | 120 | 0.658338 |
7e74c6f460e27189aecb37d569cafb98fe35f2d1 | 5,782 | py | Python | ipyannotator/datasets/download.py | EnriqueMoran/ipyannotator | 5517f8ded24e9e1347d0d72c73d620778f7b3069 | [
"Apache-2.0"
] | 19 | 2020-10-12T19:52:10.000Z | 2022-02-07T18:23:26.000Z | ipyannotator/datasets/download.py | EnriqueMoran/ipyannotator | 5517f8ded24e9e1347d0d72c73d620778f7b3069 | [
"Apache-2.0"
] | 6 | 2021-08-02T09:36:32.000Z | 2022-01-05T15:29:30.000Z | ipyannotator/datasets/download.py | EnriqueMoran/ipyannotator | 5517f8ded24e9e1347d0d72c73d620778f7b3069 | [
"Apache-2.0"
] | 1 | 2020-12-01T22:42:01.000Z | 2020-12-01T22:42:01.000Z | # AUTOGENERATED! DO NOT EDIT! File to edit: nbs/01a_datasets_download.ipynb (unless otherwise specified).
__all__ = ['get_cifar10', 'get_oxford_102_flowers', 'get_cub_200_2011']
# Internal Cell
import glob
import json
from pathlib import Path
import os
import subprocess
import tarfile
import urllib
import zlib
# In... | 35.042424 | 139 | 0.654272 |
7e760bdc1f9d49e259f501565af56e9e0e123033 | 3,076 | py | Python | airflow/plugins/operators/code_analyzer/utils/analysis/file.py | teiresias-personal-data-discovery/teiresias-system | 50e9d08d6924480f120d2d4f9fbebdc6035a5c5b | [
"MIT"
] | 2 | 2021-09-06T17:32:48.000Z | 2022-02-24T19:58:41.000Z | airflow/plugins/operators/code_analyzer/utils/analysis/file.py | teiresias-personal-data-discovery/teiresias-system | 50e9d08d6924480f120d2d4f9fbebdc6035a5c5b | [
"MIT"
] | null | null | null | airflow/plugins/operators/code_analyzer/utils/analysis/file.py | teiresias-personal-data-discovery/teiresias-system | 50e9d08d6924480f120d2d4f9fbebdc6035a5c5b | [
"MIT"
] | null | null | null | from ruamel.yaml import YAML
from pathlib import Path
from mergedeep import merge
from operators.code_analyzer.utils.analysis.tool import map_tool_to_storage_finder
from operators.code_analyzer.utils.analysis.context import collect_context
from operators.code_analyzer.constants.common import TOOL_CHARACTERISTICS
| 41.567568 | 117 | 0.592653 |
7e783fa3b3ae047ea9b8d8a178c888dc525a3a94 | 1,647 | py | Python | examples/openmv/simple_tracking.py | bherbruck/simple-tracker | ed237d29a2cc84d0a38aaa2b1e8da7599ff8586f | [
"MIT"
] | 3 | 2020-06-24T13:06:48.000Z | 2021-09-15T11:47:10.000Z | examples/openmv/simple_tracking.py | bherbruck/simple_tracker | ed237d29a2cc84d0a38aaa2b1e8da7599ff8586f | [
"MIT"
] | null | null | null | examples/openmv/simple_tracking.py | bherbruck/simple_tracker | ed237d29a2cc84d0a38aaa2b1e8da7599ff8586f | [
"MIT"
] | null | null | null | import sensor
import image
import time
import json
from simple_tracker import Tracker
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time=2000)
sensor.set_auto_gain(False)
sensor.set_auto_whitebal(False)
clock = time.clock()
green_threshold = [(44, 88, -50, 1... | 20.333333 | 65 | 0.625987 |
7e78a3a398d259dcdea4bb0f21c1e2aa3da5c606 | 2,106 | py | Python | ExcelToNetcdf.py | aecryan/netcdf-excel-conversion | b4c3d244ee726ec67fc110bbbda6400a42dd3d3a | [
"MIT"
] | null | null | null | ExcelToNetcdf.py | aecryan/netcdf-excel-conversion | b4c3d244ee726ec67fc110bbbda6400a42dd3d3a | [
"MIT"
] | null | null | null | ExcelToNetcdf.py | aecryan/netcdf-excel-conversion | b4c3d244ee726ec67fc110bbbda6400a42dd3d3a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
#Project name: Excel --> netCDF
#Description: It receives an excel file with a predefined format and returns the equivalent file in netCDF format.
#Programmers: Amir \& Ashley
#Date: 07-09-2020
import pandas as pd
import xarray
import scipy
print("Enter the exact name of th... | 18.972973 | 115 | 0.673789 |
7e79d9eb8ec6eeaae5636e4fa3a0bdb95504f949 | 2,583 | py | Python | scripts/make_mc_scenario.py | BayAreaMetro/Lasso | 189c6fbb2bb9d346ced7600531865db3e18ee23d | [
"Apache-2.0"
] | 2 | 2019-08-15T10:23:45.000Z | 2019-11-12T21:35:11.000Z | scripts/make_mc_scenario.py | BayAreaMetro/Lasso | 189c6fbb2bb9d346ced7600531865db3e18ee23d | [
"Apache-2.0"
] | 91 | 2020-01-06T14:53:22.000Z | 2022-02-24T17:41:32.000Z | scripts/make_mc_scenario.py | wsp-sag/client_met_council_wrangler_utilities | 62819d100af433de71b10e7c79d5b8003017eee1 | [
"Apache-2.0"
] | 2 | 2020-07-10T23:34:25.000Z | 2021-04-14T06:57:45.000Z | import os
import pandas as pd
from network_wrangler import RoadwayNetwork
from network_wrangler import TransitNetwork
from network_wrangler import ProjectCard
from network_wrangler import Scenario
from network_wrangler import WranglerLogger
from lasso import ModelRoadwayNetwork
import warnings
warnings.filterwarnings(... | 32.696203 | 86 | 0.711189 |
7e7ab95088129de2b578b58bebe2a6b3e660cca5 | 6,571 | py | Python | Models/Camera.py | arlanschouwstra/Robotica-Groep-11 | 17cac9527c3cc3f94f5a8ab11741cb5e546c85c1 | [
"BSD-2-Clause"
] | null | null | null | Models/Camera.py | arlanschouwstra/Robotica-Groep-11 | 17cac9527c3cc3f94f5a8ab11741cb5e546c85c1 | [
"BSD-2-Clause"
] | null | null | null | Models/Camera.py | arlanschouwstra/Robotica-Groep-11 | 17cac9527c3cc3f94f5a8ab11741cb5e546c85c1 | [
"BSD-2-Clause"
] | null | null | null | # import the necessary packages
from collections import deque
import numpy as np
import argparse
import imutils
import cv2
import time
# calling method:
camera = Camera()
camera.detect()
| 43.516556 | 144 | 0.547405 |
7e7afd9b5bc486f02d1d5c166ba6efa287e9c8ff | 2,217 | py | Python | custom_components/weatheralerts/sensor.py | ikifar2012/sensor.weatheralerts | 6e0b11c6c0c6223fdfb50e320662b2755b4c15f9 | [
"MIT"
] | null | null | null | custom_components/weatheralerts/sensor.py | ikifar2012/sensor.weatheralerts | 6e0b11c6c0c6223fdfb50e320662b2755b4c15f9 | [
"MIT"
] | null | null | null | custom_components/weatheralerts/sensor.py | ikifar2012/sensor.weatheralerts | 6e0b11c6c0c6223fdfb50e320662b2755b4c15f9 | [
"MIT"
] | null | null | null | """
A component which allows you to get information about next departure from spesified stop.
For more details about this component, please refer to the documentation at
https://github.com/custom-components/sensor.weatheralerts
"""
import voluptuous as vol
from datetime import timedelta
from homeassistant.helpers.ent... | 27.37037 | 89 | 0.691926 |
7e7b1b72d7e2f3002b8b48e684583223e28c26f3 | 5,873 | py | Python | src/azure-cli/azure/cli/command_modules/security/tests/latest/test_security_automations_scenario.py | ZengTaoxu/azure-cli | 6be96de450da5ac9f07aafb22dd69880bea04792 | [
"MIT"
] | null | null | null | src/azure-cli/azure/cli/command_modules/security/tests/latest/test_security_automations_scenario.py | ZengTaoxu/azure-cli | 6be96de450da5ac9f07aafb22dd69880bea04792 | [
"MIT"
] | null | null | null | src/azure-cli/azure/cli/command_modules/security/tests/latest/test_security_automations_scenario.py | ZengTaoxu/azure-cli | 6be96de450da5ac9f07aafb22dd69880bea04792 | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 85.115942 | 727 | 0.737443 |
7e7b5ff37c1e9db3b446dba397ba3a4bdbfa6aee | 997 | py | Python | trypython/stdlib/argparse_/argparse01.py | devlights/try-python | 67d1d26476794da81c8c76662486108ce03f8fb4 | [
"MIT"
] | 4 | 2019-10-21T11:42:11.000Z | 2020-03-12T16:35:51.000Z | trypython/stdlib/argparse_/argparse01.py | devlights/try-python | 67d1d26476794da81c8c76662486108ce03f8fb4 | [
"MIT"
] | 80 | 2017-02-08T07:55:37.000Z | 2021-10-06T06:30:30.000Z | trypython/stdlib/argparse_/argparse01.py | devlights/try-python | 67d1d26476794da81c8c76662486108ce03f8fb4 | [
"MIT"
] | 1 | 2020-03-12T04:37:17.000Z | 2020-03-12T04:37:17.000Z | """
argparse
http://bit.ly/2UXDCIG
"""
import argparse
import sys
from trypython.common.commoncls import SampleBase
from trypython.common.commonfunc import pr
| 23.186047 | 73 | 0.628887 |
7e7b93a9c5eda7c1107bcc3481dd998203dfcd7d | 949 | py | Python | scripts/check_masks.py | dyollb/segmantic | 8fe47340ff0f67812918f7070e3d6080e5d228ac | [
"MIT"
] | null | null | null | scripts/check_masks.py | dyollb/segmantic | 8fe47340ff0f67812918f7070e3d6080e5d228ac | [
"MIT"
] | 3 | 2021-09-24T20:32:23.000Z | 2022-03-14T10:54:13.000Z | scripts/check_masks.py | dyollb/segmantic | 8fe47340ff0f67812918f7070e3d6080e5d228ac | [
"MIT"
] | 2 | 2021-09-24T11:54:52.000Z | 2021-10-01T13:01:55.000Z | import logging
from pathlib import Path
import nibabel as nib
import numpy as np
import typer
if __name__ == "__main__":
typer.run(check_masks)
| 27.911765 | 71 | 0.559536 |
7e7c1099ca5e6f0cb535351f8035469a042e59e5 | 10,296 | py | Python | draw_classes.py | Fs-agadir/StageDetect | af2841b41f80151e1f3092adbc266eb1d2b8db37 | [
"MIT"
] | null | null | null | draw_classes.py | Fs-agadir/StageDetect | af2841b41f80151e1f3092adbc266eb1d2b8db37 | [
"MIT"
] | null | null | null | draw_classes.py | Fs-agadir/StageDetect | af2841b41f80151e1f3092adbc266eb1d2b8db37 | [
"MIT"
] | null | null | null | # Copyright (c) 2021, Fs-Agadir
# All rights reserved.
#from wx import App, ScreenDC #to get monitor resolution
import matplotlib.pyplot as plt
import matplotlib
import numpy as np
import os, cv2
| 38.133333 | 163 | 0.54089 |
7e7c81aac02ad87573439958e43598f569160606 | 7,325 | py | Python | batch_gnome/batch_gnome/TAP/TAP_ext/test_TAP_ext.py | dylanrighi/GnomeTools | 08ad6810194141ac89a27c95fa9b9499376000ae | [
"Unlicense"
] | 2 | 2017-02-15T20:45:42.000Z | 2020-10-09T16:00:00.000Z | batch_gnome/batch_gnome/TAP/TAP_ext/test_TAP_ext.py | dylanrighi/GnomeTools | 08ad6810194141ac89a27c95fa9b9499376000ae | [
"Unlicense"
] | 10 | 2015-06-25T23:42:11.000Z | 2021-06-22T16:19:19.000Z | batch_gnome/batch_gnome/TAP/TAP_ext/test_TAP_ext.py | dylanrighi/GnomeTools | 08ad6810194141ac89a27c95fa9b9499376000ae | [
"Unlicense"
] | 15 | 2016-01-11T20:49:10.000Z | 2020-10-15T18:02:20.000Z | #!/usr/bin/env python2.3
"""
A simple test routine that tests at least some of the TAP_ext package
"""
import unittest
from Numeric import *
from TAP_ext import NumericExtras as NE
## This is the Python version of the check_receptors code, used by the test code above
def hit_test(LEs,sites,BBs,Hit_Table,... | 26.348921 | 107 | 0.622526 |
7e7d5c74d34a346aa2f86f99938df07c5e5fd4cb | 89 | py | Python | ourteam/apps.py | Kgermando/parlementaires | ef9a464373ce2facbb6543be6d3b0d7d5c11200c | [
"Apache-2.0"
] | 1 | 2021-08-09T02:22:42.000Z | 2021-08-09T02:22:42.000Z | ourteam/apps.py | Kgermando/parlementaires | ef9a464373ce2facbb6543be6d3b0d7d5c11200c | [
"Apache-2.0"
] | null | null | null | ourteam/apps.py | Kgermando/parlementaires | ef9a464373ce2facbb6543be6d3b0d7d5c11200c | [
"Apache-2.0"
] | null | null | null | from django.apps import AppConfig
| 14.833333 | 33 | 0.752809 |
7e7db118c7f4f3b7e95cfc69811f1d3a63168f03 | 381 | py | Python | backpack/extensions/secondorder/diag_ggn/permute.py | jabader97/backpack | 089daafa0d611e13901fd7ecf8a0d708ce7a5928 | [
"MIT"
] | 395 | 2019-10-04T09:37:52.000Z | 2022-03-29T18:00:56.000Z | backpack/extensions/secondorder/diag_ggn/permute.py | jabader97/backpack | 089daafa0d611e13901fd7ecf8a0d708ce7a5928 | [
"MIT"
] | 78 | 2019-10-11T18:56:43.000Z | 2022-03-23T01:49:54.000Z | backpack/extensions/secondorder/diag_ggn/permute.py | jabader97/backpack | 089daafa0d611e13901fd7ecf8a0d708ce7a5928 | [
"MIT"
] | 50 | 2019-10-03T16:31:10.000Z | 2022-03-15T19:36:14.000Z | """Module defining DiagGGNPermute."""
from backpack.core.derivatives.permute import PermuteDerivatives
from backpack.extensions.secondorder.diag_ggn.diag_ggn_base import DiagGGNBaseModule
| 31.75 | 84 | 0.76378 |
7e7dd5c8d80c1193d34c16e490af85436be7f87e | 1,703 | py | Python | tests.py | snandasena/disaster-response-pipeline | 709af8c5fcb520dae82dc3b75c30ab2609402f53 | [
"MIT"
] | null | null | null | tests.py | snandasena/disaster-response-pipeline | 709af8c5fcb520dae82dc3b75c30ab2609402f53 | [
"MIT"
] | null | null | null | tests.py | snandasena/disaster-response-pipeline | 709af8c5fcb520dae82dc3b75c30ab2609402f53 | [
"MIT"
] | null | null | null | import sys
import numpy as np
from sklearn.externals import joblib
sys.path.append("common")
from train_classifier import *
staring_verb_extractor = StartingVerbExtractor()
verb_count_extractor = VerbCountExtractor()
starting_modal_extractor = StartingModalExtractor()
noun_count_extractor = NounCountExtractor()
... | 24.681159 | 79 | 0.72754 |
7e7e872c4d53c683d43e32b7bedc06b65ba0d11b | 3,734 | py | Python | sendim/tests/graph.py | ZuluPro/snafu | dbd79da4617db315ba7e76a0af6805cc3b1cbae2 | [
"BSD-3-Clause"
] | 1 | 2017-12-13T20:28:32.000Z | 2017-12-13T20:28:32.000Z | sendim/tests/graph.py | ZuluPro/snafu | dbd79da4617db315ba7e76a0af6805cc3b1cbae2 | [
"BSD-3-Clause"
] | null | null | null | sendim/tests/graph.py | ZuluPro/snafu | dbd79da4617db315ba7e76a0af6805cc3b1cbae2 | [
"BSD-3-Clause"
] | null | null | null | """
"""
from django.utils import unittest
from django.core import management
from referentiel.models import Supervisor
from sendim.tests.defs import create_event, create_alert, internet_is_on
| 46.675 | 129 | 0.602839 |
7e8134c8fd80b019bde539a2bf2a08fb9219b671 | 799 | py | Python | PipelineCreator/Testing/Python/ModuleTemplateTests.py | Connor-Bowley/SlicerPipelines | 2fe92230fc6333951b7d99c272f3f2c34739624d | [
"Apache-2.0"
] | null | null | null | PipelineCreator/Testing/Python/ModuleTemplateTests.py | Connor-Bowley/SlicerPipelines | 2fe92230fc6333951b7d99c272f3f2c34739624d | [
"Apache-2.0"
] | 9 | 2021-11-08T20:42:49.000Z | 2022-03-11T19:05:00.000Z | PipelineCreator/Testing/Python/ModuleTemplateTests.py | Connor-Bowley/SlicerPipelines | 2fe92230fc6333951b7d99c272f3f2c34739624d | [
"Apache-2.0"
] | 2 | 2022-01-21T09:13:40.000Z | 2022-02-09T21:16:31.000Z | import unittest
from PipelineCreatorLib._Private.ModuleTemplate import ModuleTemplate
if __name__ == '__main__':
unittest.main()
| 33.291667 | 80 | 0.662078 |
7e82cf4b8fa8c9cf39f0aaa01ba1006d96672fc2 | 3,760 | py | Python | engine/logic/Transform.py | wkta/Python-Bataille-Navale | b6f725519cf1cf559e60ec766aa4f059463b1493 | [
"MIT"
] | null | null | null | engine/logic/Transform.py | wkta/Python-Bataille-Navale | b6f725519cf1cf559e60ec766aa4f059463b1493 | [
"MIT"
] | null | null | null | engine/logic/Transform.py | wkta/Python-Bataille-Navale | b6f725519cf1cf559e60ec766aa4f059463b1493 | [
"MIT"
] | 1 | 2019-12-03T15:42:38.000Z | 2019-12-03T15:42:38.000Z | # Copyright 2019 CAILLAUD Jean-Baptiste.
from copy import copy
from engine.logic.Math import Mat3x3, Vector2, IDENTITY_MATRIX, ZERO_VECTOR, UNIT_VECTOR
| 39.578947 | 121 | 0.655585 |
7e840f48bfa9da0d3fea1df9c562b535318a1317 | 5,820 | py | Python | tools/key2java.py | rb-anssi/tataouine | 6aef17cc7f25f1d6ada38439991bdb6247dcc465 | [
"BSD-3-Clause"
] | null | null | null | tools/key2java.py | rb-anssi/tataouine | 6aef17cc7f25f1d6ada38439991bdb6247dcc465 | [
"BSD-3-Clause"
] | null | null | null | tools/key2java.py | rb-anssi/tataouine | 6aef17cc7f25f1d6ada38439991bdb6247dcc465 | [
"BSD-3-Clause"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import sys, os, array
# Import our local utils
from crypto_utils import *
if __name__ == '__main__':
# Register Ctrl+C handler
signal.signal(signal.SIGINT, handler)
if len(sys.argv) < 12:
PrintUsage()
sys.exit(1)
Key2Java(sys.argv)
| 40.416667 | 279 | 0.635739 |
7e848495b8c58269c0b218c96feb0278fcd138df | 1,949 | py | Python | app/maze_selector.py | rpowel/maze | d98d7a39e6cc0abbd32323be1722fc1a126d8910 | [
"MIT"
] | null | null | null | app/maze_selector.py | rpowel/maze | d98d7a39e6cc0abbd32323be1722fc1a126d8910 | [
"MIT"
] | null | null | null | app/maze_selector.py | rpowel/maze | d98d7a39e6cc0abbd32323be1722fc1a126d8910 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 11 10:44:44 2020.
@author: powel
"""
import random
from random import randint
import numpy as np
from mazes import RandomMaze, PrimMaze, KruskalMaze, RecursiveDivisionMaze, MazeBase
from percolation import check_percolation
if __name__ == "__ma... | 27.450704 | 87 | 0.581837 |
7e852564331f423fb21ea2215be78aaea0deff4c | 507 | py | Python | my_lambdata/iqr_oop.py | karlmanalo/lambdata-karlmanalo | e6058fd1b4a5eb64d0afaebdfa14b902fedf931e | [
"MIT"
] | null | null | null | my_lambdata/iqr_oop.py | karlmanalo/lambdata-karlmanalo | e6058fd1b4a5eb64d0afaebdfa14b902fedf931e | [
"MIT"
] | null | null | null | my_lambdata/iqr_oop.py | karlmanalo/lambdata-karlmanalo | e6058fd1b4a5eb64d0afaebdfa14b902fedf931e | [
"MIT"
] | 1 | 2020-05-06T21:26:50.000Z | 2020-05-06T21:26:50.000Z | # my_lambdata\iqr_oop.py
# IQR function written in terms of OOP
# Must feed in list of numbers
import numpy
import pandas
if __name__ == "__main__":
data = pandas.DataFrame([1,2,3,4,5])
nums = Numbers()
nums.iqr(data) | 22.043478 | 70 | 0.623274 |
7e85b0b404fa718713288ae4337dab0afce1d4af | 2,760 | py | Python | app/vendors/migrations/0030_auto_20180305_2301.py | snakrani/discovery | 99690f186a194cabef6a5d1ad18fca715be1e187 | [
"CC0-1.0"
] | null | null | null | app/vendors/migrations/0030_auto_20180305_2301.py | snakrani/discovery | 99690f186a194cabef6a5d1ad18fca715be1e187 | [
"CC0-1.0"
] | null | null | null | app/vendors/migrations/0030_auto_20180305_2301.py | snakrani/discovery | 99690f186a194cabef6a5d1ad18fca715be1e187 | [
"CC0-1.0"
] | null | null | null | # Generated by Django 2.0.2 on 2018-03-05 23:01
from django.db import migrations, models
import django.db.models.deletion
| 34.936709 | 156 | 0.593841 |
7e87f76640610e9de62b60abb07ac310224902a8 | 309 | py | Python | hcap_utils/contrib/allauth/login_form.py | fabiommendes/capacidade_hospitalar | 4f675b574573eb3f51e6be8a927ea230bf2712c7 | [
"MIT"
] | null | null | null | hcap_utils/contrib/allauth/login_form.py | fabiommendes/capacidade_hospitalar | 4f675b574573eb3f51e6be8a927ea230bf2712c7 | [
"MIT"
] | 31 | 2020-04-11T13:38:17.000Z | 2021-09-22T18:51:11.000Z | hcap_utils/contrib/allauth/login_form.py | fabiommendes/capacidade_hospitalar | 4f675b574573eb3f51e6be8a927ea230bf2712c7 | [
"MIT"
] | 1 | 2020-04-08T17:04:39.000Z | 2020-04-08T17:04:39.000Z | from allauth.account.forms import LoginForm as AllauthLoginForm
| 34.333333 | 63 | 0.702265 |
7e892bbc2f9093e6ea3899715b53105db05324f3 | 402 | py | Python | community/migrations/0013_auto_20191108_0918.py | akarakoc/Communityverse | 73ecf51eae3f96cca865e0d7cc526b92c8ad6b5e | [
"MIT"
] | null | null | null | community/migrations/0013_auto_20191108_0918.py | akarakoc/Communityverse | 73ecf51eae3f96cca865e0d7cc526b92c8ad6b5e | [
"MIT"
] | 22 | 2019-11-09T23:23:11.000Z | 2019-12-23T09:38:29.000Z | community/migrations/0013_auto_20191108_0918.py | akarakoc/CommunityVerse | 73ecf51eae3f96cca865e0d7cc526b92c8ad6b5e | [
"MIT"
] | null | null | null | # Generated by Django 2.2.6 on 2019-11-08 09:18
from django.db import migrations, models
| 21.157895 | 53 | 0.614428 |
7e894bd8c2abebfa353b32928132bd335cf2f437 | 3,870 | py | Python | tests/test_api.py | gilbsgilbs/cruft | cc6571e0816bc5149e24ed7d23d90bdb9de8d65e | [
"MIT"
] | null | null | null | tests/test_api.py | gilbsgilbs/cruft | cc6571e0816bc5149e24ed7d23d90bdb9de8d65e | [
"MIT"
] | null | null | null | tests/test_api.py | gilbsgilbs/cruft | cc6571e0816bc5149e24ed7d23d90bdb9de8d65e | [
"MIT"
] | null | null | null | import json
import os
from pathlib import Path
from subprocess import run
import pytest
from examples import verify_and_test_examples
from git import Repo
import cruft
from cruft import exceptions
from cruft._commands.utils import get_cruft_file
| 31.463415 | 92 | 0.701034 |
7e89cb57b76e7e255d355d36bbaa26056332ada5 | 4,303 | py | Python | analysis_engine/prepare_history_dataset.py | virdesai/stock-analysis-engine | 0ca501277c632150717ca499121a34f8f8c71ccb | [
"Apache-2.0"
] | 819 | 2018-09-16T20:33:11.000Z | 2022-03-30T21:18:23.000Z | analysis_engine/prepare_history_dataset.py | gvpathi/stock-analysis-engine | 0ca501277c632150717ca499121a34f8f8c71ccb | [
"Apache-2.0"
] | 14 | 2018-09-16T20:52:25.000Z | 2020-09-06T12:36:36.000Z | analysis_engine/prepare_history_dataset.py | gvpathi/stock-analysis-engine | 0ca501277c632150717ca499121a34f8f8c71ccb | [
"Apache-2.0"
] | 226 | 2018-09-16T20:04:32.000Z | 2022-03-31T01:41:14.000Z | """
Helper for loading a ``Trading History`` dataset
"""
import json
import zlib
import pandas as pd
import analysis_engine.consts as ae_consts
import spylunking.log.setup_logging as log_utils
log = log_utils.build_colorized_logger(name=__name__)
def prepare_history_dataset(
data,
compress=False,
... | 29.472603 | 77 | 0.595631 |
7e8a45c72fe260a3444e4ee7e5fcd4dbca175324 | 935 | py | Python | scripts/count_git_changes.py | ShankarNara/shogun | 8ab196de16b8d8917e5c84770924c8d0f5a3d17c | [
"BSD-3-Clause"
] | 2,753 | 2015-01-02T11:34:13.000Z | 2022-03-25T07:04:27.000Z | scripts/count_git_changes.py | ShankarNara/shogun | 8ab196de16b8d8917e5c84770924c8d0f5a3d17c | [
"BSD-3-Clause"
] | 2,404 | 2015-01-02T19:31:41.000Z | 2022-03-09T10:58:22.000Z | scripts/count_git_changes.py | ShankarNara/shogun | 8ab196de16b8d8917e5c84770924c8d0f5a3d17c | [
"BSD-3-Clause"
] | 1,156 | 2015-01-03T01:57:21.000Z | 2022-03-26T01:06:28.000Z | import os
import sys
insertions=0
deletions=0
files=0
FROMVER=""
if len(sys.argv)>1:
FROMVER=sys.argv[1]
TOVER=""
if len(sys.argv)>2:
TOVER=sys.argv[2]
TMPNAME=os.tmpnam()
VER=""
if len(FROMVER)>0:
VER=FROMVER+'..'
if len(TOVER)>0:
if len(VER)==0:
VER='..'
VER=VER+TOVER
os.system('git log --oneline --shortstat... | 20.777778 | 65 | 0.628877 |
7e8d50185ec0ee4eb697f713cf041be29429c89b | 439 | py | Python | pysaintcoinach/ex/language.py | icykoneko/saintcoinach-py | 66898385e1198203a7ec9da83787427bf6fe5c83 | [
"MIT"
] | 7 | 2019-11-20T17:24:49.000Z | 2022-03-29T04:17:53.000Z | pysaintcoinach/ex/language.py | icykoneko/saintcoinach-py | 66898385e1198203a7ec9da83787427bf6fe5c83 | [
"MIT"
] | 7 | 2019-04-08T07:36:46.000Z | 2022-01-17T22:51:54.000Z | pysaintcoinach/ex/language.py | icykoneko/saintcoinach-py | 66898385e1198203a7ec9da83787427bf6fe5c83 | [
"MIT"
] | 3 | 2019-04-08T08:24:22.000Z | 2021-06-27T22:19:15.000Z | from enum import Enum
| 18.291667 | 31 | 0.523918 |
7e908ee2b8fb406fe3a6030c978abed370619859 | 929 | py | Python | Python_lxf/Python_Basic_Operation/Python_Basic/basicValueAndFunc/Filter.py | QAlexBall/Learning_Py | 8a5987946928a9d86f6807555ed435ac604b2c44 | [
"MIT"
] | 2 | 2019-01-24T15:06:59.000Z | 2019-01-25T07:34:45.000Z | Python_lxf/Python_Basic_Operation/Python_Basic/basicValueAndFunc/Filter.py | QAlexBall/Learning_Py | 8a5987946928a9d86f6807555ed435ac604b2c44 | [
"MIT"
] | 1 | 2019-12-23T09:45:11.000Z | 2019-12-23T09:45:11.000Z | Python_lxf/Python_Basic_Operation/Python_Basic/basicValueAndFunc/Filter.py | QAlexBall/Learning_Py | 8a5987946928a9d86f6807555ed435ac604b2c44 | [
"MIT"
] | 1 | 2019-07-18T14:21:35.000Z | 2019-07-18T14:21:35.000Z |
a = list(filter(is_odd, [1, 2, 4, 5, 6, 7, 8]))
a = list(filter(lambda n : n % 2 == 1, [1, 2, 4, 5, 6, 7, 8, 9]))
b = list(filter(not_empty, ['A', '' , 'B', None, 'C', ' ']))
# filter Iterator,
print(a, b)
for n in primes():
if n < 30:
print(n)
else:
break
func = _not_divisible(9) # _not_divisible(9) (x % 9 ... | 21.113636 | 104 | 0.592034 |
7e9106857781db3212367ee35a3b48eb586b45ed | 40,855 | py | Python | toolcraft/storage/__base__.py | SpikingNeurons/toolcraft | 7290fa70a5d2680ebacf1bc421efaf09545f7c7e | [
"BSD-3-Clause"
] | 6 | 2021-04-06T09:27:48.000Z | 2021-12-17T02:13:11.000Z | toolcraft/storage/__base__.py | SpikingNeurons/toolcraft | 7290fa70a5d2680ebacf1bc421efaf09545f7c7e | [
"BSD-3-Clause"
] | 57 | 2021-03-19T07:33:13.000Z | 2022-03-30T18:59:29.000Z | toolcraft/storage/__base__.py | SpikingNeurons/toolcraft | 7290fa70a5d2680ebacf1bc421efaf09545f7c7e | [
"BSD-3-Clause"
] | 2 | 2021-04-08T18:24:36.000Z | 2021-04-08T22:40:50.000Z | """
Holds the base classes for storage module.
These are special hashables whose state can be serialized on disk.
"""
import typing as t
import pathlib
import datetime
import dataclasses
import abc
from .. import util, logger, settings
from .. import marshalling as m
from .. import error as e
from . import state
# n... | 39.819688 | 80 | 0.538465 |
7e92ae2753098633b02262fd0da3be3a5595b241 | 1,951 | py | Python | scripts/pulp_test.py | rajiv256/cs531_proj_2 | 4fa4628da06e3558b9f8c2917c0e87d9c5287690 | [
"MIT"
] | null | null | null | scripts/pulp_test.py | rajiv256/cs531_proj_2 | 4fa4628da06e3558b9f8c2917c0e87d9c5287690 | [
"MIT"
] | null | null | null | scripts/pulp_test.py | rajiv256/cs531_proj_2 | 4fa4628da06e3558b9f8c2917c0e87d9c5287690 | [
"MIT"
] | null | null | null | import pulp as pl
def create_constraint(coeffs, var_names, sense, rhs):
"""Creates a constraint based on the args
Args:
coeffs: coefficients of the constraints
vars: Names of the vars
sense: +1, 0, -1 based on >=, ==, <= respectively. Or we can use pl.LpConstraintLE
rhs: nume... | 28.275362 | 103 | 0.654024 |
7e935ec5d2ebb9f636c96a59cc60b230513b416f | 3,434 | py | Python | apps/user_app/models.py | lightless233/npiss | 8338f50d971600fe2b2366836ca2fb543f2276d5 | [
"MIT"
] | 1 | 2016-11-22T13:25:02.000Z | 2016-11-22T13:25:02.000Z | apps/user_app/models.py | LiGhT1EsS/npiss | 8338f50d971600fe2b2366836ca2fb543f2276d5 | [
"MIT"
] | 4 | 2020-06-05T17:28:20.000Z | 2022-03-11T23:15:49.000Z | apps/user_app/models.py | lightless233/npiss | 8338f50d971600fe2b2366836ca2fb543f2276d5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
# coding: utf8
from __future__ import unicode_literals
from django.db import models
from django.contrib.auth.hashers import make_password, check_password
__author__ = 'lightless'
__email__ = 'root@lightless.me'
| 31.796296 | 101 | 0.689284 |
7e95766c342499bfa038fc67107c66bd872341ac | 24 | py | Python | src/models/__init__.py | WorqHat/Stanford-MRnet-Challenge | 0a8a7438f55503307d5b6b0ddaaa3c50fa4d692b | [
"MIT"
] | 1 | 2021-06-27T18:22:57.000Z | 2021-06-27T18:22:57.000Z | src/models/__init__.py | WorqHat/Stanford-MRnet-Challenge | 0a8a7438f55503307d5b6b0ddaaa3c50fa4d692b | [
"MIT"
] | null | null | null | src/models/__init__.py | WorqHat/Stanford-MRnet-Challenge | 0a8a7438f55503307d5b6b0ddaaa3c50fa4d692b | [
"MIT"
] | 2 | 2020-05-28T07:30:39.000Z | 2021-06-27T18:22:59.000Z | from .MRnet import MRnet | 24 | 24 | 0.833333 |
7e97e798b9acfb3c7359d3f9ef7c17e46c59fef5 | 398 | py | Python | storage/models/production_data.py | aagarwal1999/194-web-app | 362efd32d964d780f213b4e5a97fd14b080329ba | [
"Apache-2.0"
] | null | null | null | storage/models/production_data.py | aagarwal1999/194-web-app | 362efd32d964d780f213b4e5a97fd14b080329ba | [
"Apache-2.0"
] | null | null | null | storage/models/production_data.py | aagarwal1999/194-web-app | 362efd32d964d780f213b4e5a97fd14b080329ba | [
"Apache-2.0"
] | null | null | null | from storage.shared import db
import datetime
import uuid
| 24.875 | 87 | 0.731156 |
7e9894e1fe1b381787e323f05a879ce7b9f749fc | 2,478 | py | Python | nostrild/nostrild.py | nibalizer/galileo | f5d100adcfaa238d98ec2df93040eafc4d9e7420 | [
"Apache-2.0"
] | 1 | 2015-01-11T04:32:57.000Z | 2015-01-11T04:32:57.000Z | nostrild/nostrild.py | nibalizer/galileo | f5d100adcfaa238d98ec2df93040eafc4d9e7420 | [
"Apache-2.0"
] | 1 | 2015-01-12T01:17:07.000Z | 2015-01-12T01:17:07.000Z | nostrild/nostrild.py | nibalizer/galileo | f5d100adcfaa238d98ec2df93040eafc4d9e7420 | [
"Apache-2.0"
] | 2 | 2015-01-17T00:52:39.000Z | 2017-09-09T05:42:18.000Z | # nostrild
# authentication and user info daemon
import getent
import os
import yaml
import ldap
from itsdangerous import TimestampSigner
from flask import Flask, abort, request, jsonify
from flask_cors import CORS
app = Flask(__name__)
app.config['CORS_HEADERS'] = 'Content-Type'
cors = CORS(app)
if __name... | 22.324324 | 64 | 0.619048 |
7e98b2febab6aef339580ecaf31712e7927e5389 | 13,357 | py | Python | P3/regression.py | alepalenc/Aprendizaje-Automatico | b2a6daa29bbed29b3d042a51bc0425b1e80152e6 | [
"MIT"
] | null | null | null | P3/regression.py | alepalenc/Aprendizaje-Automatico | b2a6daa29bbed29b3d042a51bc0425b1e80152e6 | [
"MIT"
] | null | null | null | P3/regression.py | alepalenc/Aprendizaje-Automatico | b2a6daa29bbed29b3d042a51bc0425b1e80152e6 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split, GridSearchCV
from sklearn.feature_selection import VarianceThreshold
from sklearn.preprocessing import PolynomialFeatures, StandardScaler
from sklearn import metrics
from sklearn.bas... | 36.002695 | 147 | 0.589204 |
7e99f08d361c9ea4cb38904ff75221d141f1e187 | 1,838 | py | Python | Line_Bot_Server/LineUsers.py | STU-Idichi-Syoya/Linebot_ | 54941ec0baee40ac21eeed77a0e1d0da02631aea | [
"MIT"
] | null | null | null | Line_Bot_Server/LineUsers.py | STU-Idichi-Syoya/Linebot_ | 54941ec0baee40ac21eeed77a0e1d0da02631aea | [
"MIT"
] | null | null | null | Line_Bot_Server/LineUsers.py | STU-Idichi-Syoya/Linebot_ | 54941ec0baee40ac21eeed77a0e1d0da02631aea | [
"MIT"
] | null | null | null | from Line_Bot_Server.LineBot import line_bot_api
##### STATE #####
| 28.276923 | 63 | 0.605005 |
7e99f6ca30156fb9b0a9d2f84235cc68fb4723a3 | 841 | py | Python | wx/stc/mixins/DrawColumnEndMixin.py | dejbug/dejan7 | 0e3d9f4068cd7b39a3a992f4b21fa5042c88227b | [
"MIT"
] | null | null | null | wx/stc/mixins/DrawColumnEndMixin.py | dejbug/dejan7 | 0e3d9f4068cd7b39a3a992f4b21fa5042c88227b | [
"MIT"
] | null | null | null | wx/stc/mixins/DrawColumnEndMixin.py | dejbug/dejan7 | 0e3d9f4068cd7b39a3a992f4b21fa5042c88227b | [
"MIT"
] | null | null | null | import wx
import wx.stc
from dejan7.async.DelayedCall import *
from dejan7.wx.stc import GetRowWidths
| 22.72973 | 71 | 0.668252 |
7e9a6ec65ac1ad83068e34348790df72fdb98a91 | 177 | py | Python | Userful_Script/decimal_to_binary.py | abc907558136/Pytorch-learning | 24c3da7eb134e0b9058a6f8329a311196cbc528b | [
"Apache-2.0"
] | 1 | 2019-12-19T04:49:57.000Z | 2019-12-19T04:49:57.000Z | Userful_Script/decimal_to_binary.py | abc907558136/Pytorch-Learning | 24c3da7eb134e0b9058a6f8329a311196cbc528b | [
"Apache-2.0"
] | null | null | null | Userful_Script/decimal_to_binary.py | abc907558136/Pytorch-Learning | 24c3da7eb134e0b9058a6f8329a311196cbc528b | [
"Apache-2.0"
] | null | null | null | import numpy as np
# Represent each input by an array of its binary digits. | 35.4 | 66 | 0.700565 |
7e9da2cb9c09decd20d0f9df4db1a688df669596 | 884 | py | Python | tools/telemetry/telemetry/core/platform/power_monitor/android_ds2784_power_monitor_unittest.py | kjthegod/chromium | cf940f7f418436b77e15b1ea23e6fa100ca1c91a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 231 | 2015-01-08T09:04:44.000Z | 2021-12-30T03:03:10.000Z | tools/telemetry/telemetry/core/platform/power_monitor/android_ds2784_power_monitor_unittest.py | kjthegod/chromium | cf940f7f418436b77e15b1ea23e6fa100ca1c91a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 1 | 2017-02-14T21:55:58.000Z | 2017-02-14T21:55:58.000Z | tools/telemetry/telemetry/core/platform/power_monitor/android_ds2784_power_monitor_unittest.py | kjthegod/chromium | cf940f7f418436b77e15b1ea23e6fa100ca1c91a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 268 | 2015-01-21T05:53:28.000Z | 2022-03-25T22:09:01.000Z | # Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import unittest
from telemetry.core.platform.power_monitor import android_ds2784_power_monitor
| 35.36 | 78 | 0.636878 |
7e9db911f3ba28aac3dc562f5cd602f52c2d9c10 | 1,231 | py | Python | apps/common/lookups.py | gis4dis/poster_new | cee983bfcfc90f581b18712d558bc9d8a83a400a | [
"BSD-3-Clause"
] | 4 | 2017-10-17T10:52:27.000Z | 2020-08-30T10:13:46.000Z | apps/common/lookups.py | gis4dis/poster_new | cee983bfcfc90f581b18712d558bc9d8a83a400a | [
"BSD-3-Clause"
] | 138 | 2017-10-13T09:09:02.000Z | 2020-06-05T18:55:33.000Z | apps/common/lookups.py | gis4dis/poster_new | cee983bfcfc90f581b18712d558bc9d8a83a400a | [
"BSD-3-Clause"
] | 2 | 2018-01-21T19:44:51.000Z | 2018-02-15T11:27:39.000Z | from django.contrib.postgres.fields import DateTimeRangeField
from django.db.models import Lookup
from psycopg2.extras import NumericRange
| 38.46875 | 115 | 0.665313 |
7e9fa3c475c35098becd66c211b5ef3ab43f253f | 21,450 | py | Python | lib/pecoff/Executable.py | arizvisa/syringe | 9f8691d3e70b34d52ce83c8ea33be52d0887f0d6 | [
"BSD-2-Clause"
] | 25 | 2015-04-14T21:53:46.000Z | 2022-03-30T19:15:24.000Z | lib/pecoff/Executable.py | arizvisa/syringe | 9f8691d3e70b34d52ce83c8ea33be52d0887f0d6 | [
"BSD-2-Clause"
] | 5 | 2020-03-23T20:19:59.000Z | 2021-05-24T19:38:31.000Z | lib/pecoff/Executable.py | arizvisa/syringe | 9f8691d3e70b34d52ce83c8ea33be52d0887f0d6 | [
"BSD-2-Clause"
] | 7 | 2015-07-31T13:26:37.000Z | 2021-03-05T19:35:37.000Z | import logging, operator, functools, itertools, array, ptypes
from ptypes import *
from .headers import *
from . import portable
### What file format the next header is
### What file format the data is
## Portable Executable (PE)
Portable = IMAGE_NT_HEADERS64 = IMAGE_NT_HEADERS
### FileBase
class File(pstruct.type... | 34.210526 | 214 | 0.58634 |
7ea13c2421a842ac77b2ae86ea0d9775b78d7084 | 955 | py | Python | test/test_utils.py | undecidedzogvisrainbowvitalispotent-360/i2plib | 6edf51cd5d21cc745aa7e23cb98c582144884fa8 | [
"MIT"
] | 25 | 2018-09-05T16:44:05.000Z | 2022-02-16T18:32:32.000Z | test/test_utils.py | undecidedzogvisvitalispotent8stars360/i2plib | 6edf51cd5d21cc745aa7e23cb98c582144884fa8 | [
"MIT"
] | 2 | 2018-10-24T19:57:16.000Z | 2019-01-26T14:30:40.000Z | test/test_utils.py | undecidedzogvisvitalispotent8stars360/i2plib | 6edf51cd5d21cc745aa7e23cb98c582144884fa8 | [
"MIT"
] | 5 | 2018-10-24T18:01:46.000Z | 2020-12-15T18:16:14.000Z | import unittest
import os
import i2plib.sam
import i2plib.utils
| 28.939394 | 77 | 0.66178 |
7ea185e9e7bf9f8a9049b8e9ecc9f23bee356df7 | 2,156 | py | Python | arm64/conditional.py | c01db33f/reil | 3deec3a3bb69aae51cc0d728d5f83156cfba2ab6 | [
"Apache-2.0"
] | 27 | 2015-03-16T13:28:00.000Z | 2021-08-02T02:58:23.000Z | arm64/conditional.py | c01db33f/pyreil | 3deec3a3bb69aae51cc0d728d5f83156cfba2ab6 | [
"Apache-2.0"
] | 2 | 2015-02-23T12:18:53.000Z | 2015-03-15T20:31:16.000Z | arm64/conditional.py | c01db33f/reil | 3deec3a3bb69aae51cc0d728d5f83156cfba2ab6 | [
"Apache-2.0"
] | 9 | 2016-03-22T18:59:12.000Z | 2022-02-05T08:18:28.000Z | # -*- coding: utf-8 -*-
# Copyright 2016 Mark Brand - c01db33f (at) gmail.com
#
# 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.... | 25.666667 | 77 | 0.581169 |
7ea23da5c7684f08a14ea23938ae0d58c8dbefb9 | 2,830 | py | Python | open_ocr/rpc_server_base.py | jpnewman/python_ocr_api | 1063a03c273438a8df55d6296b87940bf143aa60 | [
"MIT"
] | null | null | null | open_ocr/rpc_server_base.py | jpnewman/python_ocr_api | 1063a03c273438a8df55d6296b87940bf143aa60 | [
"MIT"
] | null | null | null | open_ocr/rpc_server_base.py | jpnewman/python_ocr_api | 1063a03c273438a8df55d6296b87940bf143aa60 | [
"MIT"
] | null | null | null |
import logging
import pika
LOGGER = logging.getLogger(__name__)
| 36.282051 | 84 | 0.591166 |
7ea28e8e4d7addcc5853c2f95be5898c08fdb331 | 1,490 | py | Python | s64da_benchmark_toolkit/dbconn.py | a-masterov/s64da-benchmark-toolkit | b1af60c6a1c7d4c62ae9fb5ce04e2c7b59002b0b | [
"MIT"
] | 15 | 2020-03-27T09:40:12.000Z | 2022-03-25T19:55:53.000Z | s64da_benchmark_toolkit/dbconn.py | a-masterov/s64da-benchmark-toolkit | b1af60c6a1c7d4c62ae9fb5ce04e2c7b59002b0b | [
"MIT"
] | 43 | 2020-03-25T10:03:11.000Z | 2021-06-02T01:15:17.000Z | s64da_benchmark_toolkit/dbconn.py | a-masterov/s64da-benchmark-toolkit | b1af60c6a1c7d4c62ae9fb5ce04e2c7b59002b0b | [
"MIT"
] | 6 | 2020-10-08T11:32:40.000Z | 2021-11-17T21:20:44.000Z |
import logging
import time
import psycopg2
from psycopg2.extras import DictCursor
LOG = logging.getLogger()
| 31.702128 | 109 | 0.624832 |
7ea4d785d48817245d9b222be270587ab13b327a | 436 | py | Python | examples/test_pos_boot_normal.py | zmdismai/tcf | 3903e0a2f444c3aa14647a5147a0df76a49e4195 | [
"Apache-2.0"
] | null | null | null | examples/test_pos_boot_normal.py | zmdismai/tcf | 3903e0a2f444c3aa14647a5147a0df76a49e4195 | [
"Apache-2.0"
] | null | null | null | examples/test_pos_boot_normal.py | zmdismai/tcf | 3903e0a2f444c3aa14647a5147a0df76a49e4195 | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/python
import tcfl.tc
import tcfl.tl
import tcfl.pos
| 20.761905 | 61 | 0.646789 |
7ea4f26b832f9d8e48b3a6b69e37f65806d63b1b | 1,367 | py | Python | ImGen.py | ibaranov-cp/ImGen_Circuit_Maker | 50c328ec0f62a77908dc3179de8fbf123f38caec | [
"BSD-3-Clause"
] | null | null | null | ImGen.py | ibaranov-cp/ImGen_Circuit_Maker | 50c328ec0f62a77908dc3179de8fbf123f38caec | [
"BSD-3-Clause"
] | null | null | null | ImGen.py | ibaranov-cp/ImGen_Circuit_Maker | 50c328ec0f62a77908dc3179de8fbf123f38caec | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
#BSD 3-Clause License
#Copyright (c) 2017, Ilia Baranov
#############################################
# CHANGE THESE VARS AS NEEDED
size = 10 #size of squares in mils
invert = False #Color invert the image
image_name = "test.png" #name of the image, can be BMP, PNG or JPG
#########... | 23.982456 | 74 | 0.504755 |
7ea621576562b5fb32452a65b61e929a0460d182 | 13,564 | py | Python | ckan/tests/functional/test_publisher_auth.py | dadosgovbr/ckan | f2ed9a03581c3229cf01209baa9a02a71642e0b6 | [
"BSD-3-Clause"
] | 2 | 2015-11-05T12:04:52.000Z | 2017-08-09T11:29:11.000Z | ckan/tests/functional/test_publisher_auth.py | dadosgovbr/ckan | f2ed9a03581c3229cf01209baa9a02a71642e0b6 | [
"BSD-3-Clause"
] | null | null | null | ckan/tests/functional/test_publisher_auth.py | dadosgovbr/ckan | f2ed9a03581c3229cf01209baa9a02a71642e0b6 | [
"BSD-3-Clause"
] | null | null | null | import re
from nose.tools import assert_equal
import ckan.model as model
from ckan.lib.create_test_data import CreateTestData
from ckan.logic import NotAuthorized
from ckan.tests import *
from ckan.tests import setup_test_search_index
from base import FunctionalTestCase
from ckan.tests import search_related... | 35.60105 | 122 | 0.603804 |
7ea6762aae019197866e6971cb35189f112a85c4 | 451 | py | Python | py/__main__.py | social-learning/data-structures | 84e9996150d14d7008e9d9d3cf37dcb586266802 | [
"MIT"
] | 2 | 2021-05-07T18:57:21.000Z | 2021-05-09T18:19:32.000Z | py/__main__.py | social-learning/data-structures | 84e9996150d14d7008e9d9d3cf37dcb586266802 | [
"MIT"
] | 3 | 2021-05-06T15:29:53.000Z | 2021-05-07T17:03:22.000Z | py/__main__.py | social-learning/data-structures | 84e9996150d14d7008e9d9d3cf37dcb586266802 | [
"MIT"
] | null | null | null | import src.data_structures.heap
from src.algorithms.misc import powerfulIntegers
if __name__ == "__main__":
x = powerfulIntegers(2,3,10)
print(x)
else:
print("File one executed when imported") | 21.47619 | 48 | 0.585366 |
7ea6ac2af6bb95e81265bf6707a8fafbd55ae5e0 | 1,121 | py | Python | src/EDA/cleanAcceptedLoans.py | simon555/cs109-FinalProject | 4a7c7b10c02150400fedb36a6c59da0ee06bbcce | [
"MIT"
] | 2 | 2018-11-23T07:12:23.000Z | 2018-11-27T22:13:51.000Z | src/EDA/cleanAcceptedLoans.py | simon555/cs109-FinalProject | 4a7c7b10c02150400fedb36a6c59da0ee06bbcce | [
"MIT"
] | null | null | null | src/EDA/cleanAcceptedLoans.py | simon555/cs109-FinalProject | 4a7c7b10c02150400fedb36a6c59da0ee06bbcce | [
"MIT"
] | 1 | 2018-11-26T17:10:18.000Z | 2018-11-26T17:10:18.000Z | # -*- coding: utf-8 -*-
"""
Created on Wed Nov 28 21:56:22 2018
@author: simon
"""
from src.EDA.clean_object import cleanObject
from src.EDA.clean_numeric import cleanNumeric
import pandas as pd
def cleanForDemo(filename):
"""
input : location of the file
output : fully cleaned dataset
... | 21.557692 | 103 | 0.617306 |
7ea6b0f17a7cddaf370fa292780a167ed669fcc8 | 318 | py | Python | answers/VanshBaijal/Day 6/Question1.py | arc03/30-DaysOfCode-March-2021 | 6d6e11bf70280a578113f163352fa4fa8408baf6 | [
"MIT"
] | 22 | 2021-03-16T14:07:47.000Z | 2021-08-13T08:52:50.000Z | answers/VanshBaijal/Day 6/Question1.py | arc03/30-DaysOfCode-March-2021 | 6d6e11bf70280a578113f163352fa4fa8408baf6 | [
"MIT"
] | 174 | 2021-03-16T21:16:40.000Z | 2021-06-12T05:19:51.000Z | answers/VanshBaijal/Day 6/Question1.py | arc03/30-DaysOfCode-March-2021 | 6d6e11bf70280a578113f163352fa4fa8408baf6 | [
"MIT"
] | 135 | 2021-03-16T16:47:12.000Z | 2021-06-27T14:22:38.000Z | Candies = [int(x) for x in input("Enter the numbers with space: ").split()]
extraCandies=int(input("Enter the number of extra candies: "))
Output=[ ]
i=0
while(i<len(Candies)):
if(Candies[i]+extraCandies>=max(Candies)):
Output.append("True")
else:
Output.append("False")
i+=1
print(Output)
| 26.5 | 75 | 0.644654 |
7ea9cd90fdf10c43d54fa675ea898cdb76225e1f | 5,855 | py | Python | tests/test_search.py | omaralvarez/trakt.py | 93a6beb73cdd37ffb354d2e9c1892dc39d9c4baf | [
"MIT"
] | null | null | null | tests/test_search.py | omaralvarez/trakt.py | 93a6beb73cdd37ffb354d2e9c1892dc39d9c4baf | [
"MIT"
] | null | null | null | tests/test_search.py | omaralvarez/trakt.py | 93a6beb73cdd37ffb354d2e9c1892dc39d9c4baf | [
"MIT"
] | null | null | null | from tests.core.helpers import read
from six.moves.urllib_parse import urlparse, parse_qsl
from trakt import Trakt
import responses
| 29.129353 | 91 | 0.554398 |
7ea9f178e2418d2c7e8986651448126d115fa230 | 4,828 | py | Python | test.py | XiaoyongNI/hybrid-inference | c268e1ada019e08f62e3f02fc6d5059130ec5358 | [
"MIT"
] | null | null | null | test.py | XiaoyongNI/hybrid-inference | c268e1ada019e08f62e3f02fc6d5059130ec5358 | [
"MIT"
] | null | null | null | test.py | XiaoyongNI/hybrid-inference | c268e1ada019e08f62e3f02fc6d5059130ec5358 | [
"MIT"
] | null | null | null | from utils import generic_utils as g_utils
import torch
import evaluation as eval
import torch.nn.functional as F
import losses
from datasets import nclt
from datasets import synthetic
from datasets import lorenz
import numpy as np
from utils import generic_utils as g_utils
import time
| 36.854962 | 107 | 0.615369 |
7eab2e9233141229915ea54e3a9ad3980ec8ae2f | 1,418 | py | Python | nlt/debug/dataset.py | isabella232/neural-light-transport | 04acc39713be464e74e0393315c71416f67a3ef3 | [
"Apache-2.0"
] | 176 | 2020-08-13T02:31:07.000Z | 2022-03-24T05:50:55.000Z | nlt/debug/dataset.py | isabella232/neural-light-transport | 04acc39713be464e74e0393315c71416f67a3ef3 | [
"Apache-2.0"
] | 7 | 2020-11-16T05:07:08.000Z | 2022-02-07T04:19:44.000Z | nlt/debug/dataset.py | isabella232/neural-light-transport | 04acc39713be464e74e0393315c71416f67a3ef3 | [
"Apache-2.0"
] | 30 | 2020-08-13T07:03:34.000Z | 2022-03-23T18:55:26.000Z | # Copyright 2020 Google LLC
#
# 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, ... | 29.541667 | 79 | 0.727786 |
7eab677ffe16ca51d58be0908854da05e1f26c5f | 1,928 | py | Python | safirnotification/api.py | byrxiaochun/safir_notification_service | adc7e3ab2b61906480e50264bab0cccd47483189 | [
"Apache-2.0"
] | 1 | 2017-07-14T07:36:22.000Z | 2017-07-14T07:36:22.000Z | safirnotification/api.py | byrxiaochun/safir_notification_service | adc7e3ab2b61906480e50264bab0cccd47483189 | [
"Apache-2.0"
] | null | null | null | safirnotification/api.py | byrxiaochun/safir_notification_service | adc7e3ab2b61906480e50264bab0cccd47483189 | [
"Apache-2.0"
] | 2 | 2017-10-21T12:16:18.000Z | 2019-07-19T05:31:07.000Z | from __future__ import print_function
from flask import Flask
from flask import request
import argparse
import json
import sys
from safirnotification.alarm.alarm_handler import AlarmHandler
from safirnotification.utils import log
from safirnotification.utils.opts import ConfigOpts
LOG = log.get_logger()
Flask.get ... | 27.942029 | 73 | 0.608921 |
7eabea74e332a66d58fe03d710b978a1be03e172 | 4,259 | py | Python | slack_primitive_cli/command/chat.py | yuji38kwmt/slack-primitive-cli | 12e942d6ace6b71b874f0648bb3b6b5ac6c590a4 | [
"MIT"
] | null | null | null | slack_primitive_cli/command/chat.py | yuji38kwmt/slack-primitive-cli | 12e942d6ace6b71b874f0648bb3b6b5ac6c590a4 | [
"MIT"
] | 50 | 2020-06-29T06:17:23.000Z | 2022-03-28T15:01:33.000Z | slack_primitive_cli/command/chat.py | yuji38kwmt/slack-primitive-cli | 12e942d6ace6b71b874f0648bb3b6b5ac6c590a4 | [
"MIT"
] | null | null | null | import logging
import click
import slack_sdk
from slack_primitive_cli.common.utils import TOKEN_ENVVAR, TOKEN_HELP_MESSAGE, set_logger
logger = logging.getLogger(__name__)
| 36.401709 | 119 | 0.702043 |
7eac896f2fd732187498b92ce5df251097f85bad | 340 | py | Python | codewars/7 kyu/convert-number-to-string.py | sirken/coding-practice | 9c5e23b2c24f525a89a5e1d15ce3aec3ad1a01ab | [
"MIT"
] | null | null | null | codewars/7 kyu/convert-number-to-string.py | sirken/coding-practice | 9c5e23b2c24f525a89a5e1d15ce3aec3ad1a01ab | [
"MIT"
] | null | null | null | codewars/7 kyu/convert-number-to-string.py | sirken/coding-practice | 9c5e23b2c24f525a89a5e1d15ce3aec3ad1a01ab | [
"MIT"
] | null | null | null | from Test import Test, Test as test
'''
We need a function that can transform a number into a string.
What ways of achieving this do you know?
Examples:
number_to_string(123) /* returns '123' */
number_to_string(999) /* returns '999' */
'''
test.assert_equals(number_to_string(67), '67'); | 21.25 | 61 | 0.723529 |
7eae404b9ffdd90228dcb56445e0fd056fc2c5bc | 4,255 | py | Python | hummingbot/connector/derivative/binance_perpetual/binance_perpetual_utils.py | BGTCapital/hummingbot | 2c50f50d67cedccf0ef4d8e3f4c8cdce3dc87242 | [
"Apache-2.0"
] | 2 | 2022-03-03T10:00:27.000Z | 2022-03-08T13:57:56.000Z | hummingbot/connector/derivative/binance_perpetual/binance_perpetual_utils.py | BGTCapital/hummingbot | 2c50f50d67cedccf0ef4d8e3f4c8cdce3dc87242 | [
"Apache-2.0"
] | 6 | 2022-01-31T15:44:54.000Z | 2022-03-06T04:27:12.000Z | hummingbot/connector/derivative/binance_perpetual/binance_perpetual_utils.py | BGTCapital/hummingbot | 2c50f50d67cedccf0ef4d8e3f4c8cdce3dc87242 | [
"Apache-2.0"
] | 1 | 2022-03-31T07:04:49.000Z | 2022-03-31T07:04:49.000Z | import os
import socket
from typing import Any, Dict, Optional
import hummingbot.connector.derivative.binance_perpetual.constants as CONSTANTS
from hummingbot.client.config.config_var import ConfigVar
from hummingbot.client.config.config_methods import using_exchange
from hummingbot.core.utils.tracking_nonce import g... | 37.324561 | 108 | 0.725969 |
7eae90d3c01eaa4dde6516942f1304a7d7bfc497 | 1,247 | py | Python | Curso Udemy 2022/Curso_Luiz_Otavio/aula_75_ex.py | Matheusfarmaceutico/Exercicios-Python | d1821bd9d11ea0707074c5fe11dead2e85476ebd | [
"MIT"
] | null | null | null | Curso Udemy 2022/Curso_Luiz_Otavio/aula_75_ex.py | Matheusfarmaceutico/Exercicios-Python | d1821bd9d11ea0707074c5fe11dead2e85476ebd | [
"MIT"
] | null | null | null | Curso Udemy 2022/Curso_Luiz_Otavio/aula_75_ex.py | Matheusfarmaceutico/Exercicios-Python | d1821bd9d11ea0707074c5fe11dead2e85476ebd | [
"MIT"
] | null | null | null | """
Considerando duas listas de inteiros ou floats (lista A e lista B)
Some os valores nas listas retornando uma nova lista com os valores somados:
Se uma lista for maior que a outra, a soma s vai considerar o tamanho da
menor.
Exemplo:
lista_a = [1, 2, 3, 4, 5, 6, 7]
lista_b = [1, 2, 3, 4]"""
separador()
#Minh... | 26.531915 | 122 | 0.690457 |
7eaf36bdb4bd0189fe015e24c185548232a56d8e | 4,740 | py | Python | Functions_in_Python.py | sichkar-valentyn/Functions_in_Python | 896fdf6fbe186fe319f5ccaddf4d3952d78c32b0 | [
"MIT"
] | 1 | 2021-05-13T20:31:37.000Z | 2021-05-13T20:31:37.000Z | Functions_in_Python.py | sichkar-valentyn/Functions_in_Python | 896fdf6fbe186fe319f5ccaddf4d3952d78c32b0 | [
"MIT"
] | null | null | null | Functions_in_Python.py | sichkar-valentyn/Functions_in_Python | 896fdf6fbe186fe319f5ccaddf4d3952d78c32b0 | [
"MIT"
] | null | null | null | # File: Functions_in_Python.py
# Description: Creating functions in Python
# Environment: Spyder IDE in Anaconda environment
#
# MIT License
# Copyright (c) 2018 Valentyn N Sichkar
# github.com/sichkar-valentyn
#
# Reference to:
# [1] Valentyn N Sichkar. Creating functions in Python // GitHub platform [Electronic resou... | 41.946903 | 186 | 0.611181 |
7eb022ba017c96463108c7ec8dbea1b02a79b2bf | 1,571 | py | Python | jaseci_serv/jaseci_serv/base/admin.py | Gorgeous-Patrick/jaseci | b423165fefbbc9574cd4467ee05728add7f47e5a | [
"MIT"
] | 6 | 2021-10-30T03:35:36.000Z | 2022-02-10T02:06:18.000Z | jaseci_serv/jaseci_serv/base/admin.py | Gorgeous-Patrick/jaseci | b423165fefbbc9574cd4467ee05728add7f47e5a | [
"MIT"
] | 85 | 2021-10-29T22:47:39.000Z | 2022-03-31T06:11:52.000Z | jaseci_serv/jaseci_serv/base/admin.py | Gorgeous-Patrick/jaseci | b423165fefbbc9574cd4467ee05728add7f47e5a | [
"MIT"
] | 12 | 2021-11-03T17:29:22.000Z | 2022-03-30T16:01:53.000Z | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin as BaseUserAdmin
from django.utils.translation import gettext as _
from jaseci_serv.base import models
admin.site.register(models.User, UserAdmin)
admin.site.register(models.JaseciObject, JaseciObjectAdmin)
admin.site.register(mo... | 24.936508 | 86 | 0.551878 |
7eb19e8b95185663f63c59aabd713e0c10af913c | 1,551 | py | Python | app.py | CoDeRgAnEsh/Rent-flask | 1a796196ebe613c7cea77ad6ac96ca91ca98070f | [
"MIT"
] | 3 | 2018-10-21T08:18:16.000Z | 2019-05-20T19:43:23.000Z | app.py | CoDeRgAnEsh/Rent-flask | 1a796196ebe613c7cea77ad6ac96ca91ca98070f | [
"MIT"
] | null | null | null | app.py | CoDeRgAnEsh/Rent-flask | 1a796196ebe613c7cea77ad6ac96ca91ca98070f | [
"MIT"
] | null | null | null | #!/usr/bin env python
import numpy as np
import pandas as pd
from flask import Flask, abort, jsonify, request
import pickle
# from flask_accept import accept
from flask_cors import CORS
with open('model.pkl', 'rb') as model:
xgb_model = pickle.load(model)
features = ['longitude', 'latitude', 'gym', 'lift', 'swi... | 26.741379 | 96 | 0.638298 |
7eb2e5d8b39a38645fd5ca261b5ad38bc6b3a64e | 17,580 | py | Python | deploy.py | NASA-PDS/planetarydata.org | 16731a251c22408b433117f7f01e29d004f11467 | [
"Apache-2.0"
] | null | null | null | deploy.py | NASA-PDS/planetarydata.org | 16731a251c22408b433117f7f01e29d004f11467 | [
"Apache-2.0"
] | 5 | 2021-03-19T21:41:19.000Z | 2022-02-11T14:55:14.000Z | deploy.py | NASA-PDS/planetarydata.org | 16731a251c22408b433117f7f01e29d004f11467 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
# Copyright 2014 California Institute of Technology. ALL RIGHTS
# RESERVED. U.S. Government Sponsorship acknowledged.
#
# deploy.py - Deploy the IPDA site into operations
import argparse, sys, logging, os, os.path, re, subprocess, pwd, urllib2, contextlib, tempfile, tarfile, str... | 46.141732 | 121 | 0.659158 |
7eb37405a08b46272d97b80f6cb1504d1a02dffc | 884 | py | Python | aoc2020/4/d4_2.py | kewbish/ka-algorithms | 7a893fdaebd99530eaf0d9633c2721763707e92f | [
"MIT"
] | null | null | null | aoc2020/4/d4_2.py | kewbish/ka-algorithms | 7a893fdaebd99530eaf0d9633c2721763707e92f | [
"MIT"
] | null | null | null | aoc2020/4/d4_2.py | kewbish/ka-algorithms | 7a893fdaebd99530eaf0d9633c2721763707e92f | [
"MIT"
] | null | null | null | from re import match
with open("input.txt") as x:
lines = x.read().strip().split("\n\n")
lines = [line.replace("\n", " ") for line in lines]
valid = 0
fields = {
'byr': lambda x: 1920 <= int(x) <= 2002,
'iyr': lambda x: 2010 <= int(x) <= 2020,
'eyr': lambda x: 2020 <= int(x) <= 2030,
... | 35.36 | 120 | 0.519231 |
7eb4d2c3850b1b1666b3b1e3ca926f8da835b076 | 1,321 | py | Python | test_inference.py | ilyes64/DenseNet-TF2 | 0081ec8823bd6af46a2948f3dc837e1302a8db73 | [
"MIT"
] | null | null | null | test_inference.py | ilyes64/DenseNet-TF2 | 0081ec8823bd6af46a2948f3dc837e1302a8db73 | [
"MIT"
] | null | null | null | test_inference.py | ilyes64/DenseNet-TF2 | 0081ec8823bd6af46a2948f3dc837e1302a8db73 | [
"MIT"
] | null | null | null | """Test ImageNet pretrained DenseNet"""
import cv2
import numpy as np
from tensorflow.keras.optimizers import SGD
import tensorflow.keras.backend as K
# We only test DenseNet-121 in this script for demo purpose
from densenet121 import DenseNet
im = cv2.resize(cv2.imread('resources/cat.jpg'), (224, 224)).astype(np.f... | 32.219512 | 83 | 0.718395 |
7eb546f1428e9e46c412c95c4b290bb93627a3b7 | 713 | py | Python | global_id/tests/utils/callers/guid_caller.py | ThePokerFaCcCe/messenger | 2db3d5c2ccd05ac40d2442a13d664ca9ad3cb14c | [
"MIT"
] | null | null | null | global_id/tests/utils/callers/guid_caller.py | ThePokerFaCcCe/messenger | 2db3d5c2ccd05ac40d2442a13d664ca9ad3cb14c | [
"MIT"
] | null | null | null | global_id/tests/utils/callers/guid_caller.py | ThePokerFaCcCe/messenger | 2db3d5c2ccd05ac40d2442a13d664ca9ad3cb14c | [
"MIT"
] | null | null | null | from django.urls.base import reverse
from rest_framework import status
from global_id.urls import app_name
from core.tests.utils import BaseCaller
from ..creators import create_guid
| 31 | 63 | 0.678822 |
7eb5995e03f60c1e708787551eef79b2faedc457 | 132 | py | Python | Neural Network/NNToyFx/python/activations.py | stormy-ua/MachineLearning | e03a50e4c9fab8c7c4232ae0c305f6e7b48134bf | [
"MIT"
] | null | null | null | Neural Network/NNToyFx/python/activations.py | stormy-ua/MachineLearning | e03a50e4c9fab8c7c4232ae0c305f6e7b48134bf | [
"MIT"
] | null | null | null | Neural Network/NNToyFx/python/activations.py | stormy-ua/MachineLearning | e03a50e4c9fab8c7c4232ae0c305f6e7b48134bf | [
"MIT"
] | null | null | null | from simulation import *
| 22 | 48 | 0.704545 |
7eb6be94d7cf79345f60800447c7a1dfb1e58dc6 | 1,126 | py | Python | dev/umm-exploration-has-calculator.py | fangohr/oommf-python | 9c9f617c4efe4b488f01703186c1126070ea5d3f | [
"BSD-2-Clause"
] | 7 | 2016-01-25T09:36:46.000Z | 2021-09-03T01:42:19.000Z | dev/umm-exploration-has-calculator.py | fangohr/oommf-python | 9c9f617c4efe4b488f01703186c1126070ea5d3f | [
"BSD-2-Clause"
] | 1 | 2016-03-07T17:11:44.000Z | 2016-03-07T17:11:44.000Z | dev/umm-exploration-has-calculator.py | fangohr/oommf-python | 9c9f617c4efe4b488f01703186c1126070ea5d3f | [
"BSD-2-Clause"
] | 9 | 2015-09-30T10:53:06.000Z | 2021-05-12T20:21:52.000Z |
#a = AbstractMicromagneticModell('simulation-name', 10)
#print(a)
#a.hysteresis([10, 20])
ocalc = OOMMFC()
o = MicromagneticModell(name='test', Ms=42, calc=ocalc)
print(o)
o.relax()
#f = FIDIMAGC(name='fidimag-simulation', Ms=8e6)
#print(o)
#f.relax()
#o.relax()
#o.hysteresis([10, 20, 30])
| 21.245283 | 72 | 0.617229 |
7eb7565f96b0068b9fddd9b40e2803cbd414b282 | 7,225 | py | Python | Tools/Converters/tetgen2ply.py | dbungert/opensurgsim | bd30629f2fd83f823632293959b7654275552fa9 | [
"Apache-2.0"
] | 24 | 2015-01-19T16:18:59.000Z | 2022-03-13T03:29:11.000Z | Tools/Converters/tetgen2ply.py | dbungert/opensurgsim | bd30629f2fd83f823632293959b7654275552fa9 | [
"Apache-2.0"
] | 3 | 2018-12-21T14:54:08.000Z | 2022-03-14T12:38:07.000Z | Tools/Converters/tetgen2ply.py | dbungert/opensurgsim | bd30629f2fd83f823632293959b7654275552fa9 | [
"Apache-2.0"
] | 8 | 2015-04-10T19:45:36.000Z | 2022-02-02T17:00:59.000Z | #!/usr/bin/python
# This file is a part of the OpenSurgSim project.
# Copyright 2012-2015, SimQuest Solutions Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.o... | 43.005952 | 139 | 0.695779 |
7eb76c71fc078ebcda0b4348976ac428e72ebba9 | 2,848 | py | Python | movie/App/forms/user.py | caoluyang8/movie | 6f655706c2f50e21bdd34d210393e842fd2b26ba | [
"BSD-2-Clause"
] | null | null | null | movie/App/forms/user.py | caoluyang8/movie | 6f655706c2f50e21bdd34d210393e842fd2b26ba | [
"BSD-2-Clause"
] | null | null | null | movie/App/forms/user.py | caoluyang8/movie | 6f655706c2f50e21bdd34d210393e842fd2b26ba | [
"BSD-2-Clause"
] | null | null | null | from flask_wtf import FlaskForm
from wtforms import StringField,PasswordField,SubmitField,BooleanField
from flask_wtf.file import FileAllowed,FileRequired,FileField
from wtforms.validators import DataRequired,Length,EqualTo,Email,ValidationError
from App.models import User
from App.extensions import file
| 59.333333 | 221 | 0.726475 |
0e18ce228904236db3f530d334423f0fcfc1bd83 | 443 | py | Python | doc/source/user/examples/cleanup-servers.py | noironetworks/shade | e46878bae44e7daebf32c0aeaeffea0011542525 | [
"Apache-2.0"
] | 96 | 2015-01-29T20:12:08.000Z | 2019-01-28T22:17:13.000Z | doc/source/user/examples/cleanup-servers.py | noironetworks/shade | e46878bae44e7daebf32c0aeaeffea0011542525 | [
"Apache-2.0"
] | 7 | 2015-08-14T18:47:28.000Z | 2019-02-18T16:32:36.000Z | doc/source/user/examples/cleanup-servers.py | noironetworks/shade | e46878bae44e7daebf32c0aeaeffea0011542525 | [
"Apache-2.0"
] | 88 | 2015-05-11T17:20:52.000Z | 2019-04-04T03:23:30.000Z | import shade
# Initialize and turn on debug logging
shade.simple_logging(debug=True)
for cloud_name, region_name in [
('my-vexxhost', 'ca-ymq-1'),
('my-citycloud', 'Buf1'),
('my-internap', 'ams01')]:
# Initialize cloud
cloud = shade.openstack_cloud(cloud=cloud_name, region_name=region_... | 31.642857 | 76 | 0.683973 |
0e18f19e2f26af45d020c41ca5247b1bdd969657 | 151 | py | Python | abacus_tpot/tpot_config.py | workforce-data-initiative/tpot-abacus | a5abf4af544693e0c58f7891785718e7bc606ed6 | [
"Apache-2.0"
] | 1 | 2019-09-09T20:52:49.000Z | 2019-09-09T20:52:49.000Z | abacus_tpot/tpot_config.py | workforce-data-initiative/tpot-abacus | a5abf4af544693e0c58f7891785718e7bc606ed6 | [
"Apache-2.0"
] | 43 | 2018-02-11T11:24:18.000Z | 2022-02-22T05:32:16.000Z | abacus_tpot/tpot_config.py | workforce-data-initiative/tpot-abacus | a5abf4af544693e0c58f7891785718e7bc606ed6 | [
"Apache-2.0"
] | null | null | null | # eventually we will have a proper config
ANONYMIZATION_THRESHOLD = 10
WAREHOUSE_URI = 'postgres://localhost'
WAGE_RECORD_URI = 'postgres://localhost'
| 30.2 | 41 | 0.794702 |
0e1b5fee094ee42b7bc8cc6dd1d5a713200d6a4a | 837 | py | Python | tileServer/scripts/exportZoomLevels.py | greenhalos/tile-server | cc88f50839e70eeed359dfa09a63386e8c06b9e7 | [
"Apache-2.0"
] | null | null | null | tileServer/scripts/exportZoomLevels.py | greenhalos/tile-server | cc88f50839e70eeed359dfa09a63386e8c06b9e7 | [
"Apache-2.0"
] | null | null | null | tileServer/scripts/exportZoomLevels.py | greenhalos/tile-server | cc88f50839e70eeed359dfa09a63386e8c06b9e7 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import json
import yaml
result = {}
with open('app/static/greenhalos-style.json') as json_file:
data = json.load(json_file)
for layer in data['layers']:
if 'source-layer' in layer:
minzoom = layer.get('minzoom', 0)
maxzoom = layer.get('maxzoom', 24)
... | 31 | 59 | 0.537634 |
0e1b623930809e5794e5e6725bf4a73e58a166cd | 14,203 | py | Python | formats/dcc_parser.py | C3RV1/LaytonEditor | 51e1a9a372a8acdaa4183ae008235a721dc56cdc | [
"Unlicense"
] | 6 | 2019-12-24T00:18:54.000Z | 2022-02-28T17:09:22.000Z | formats/dcc_parser.py | C3RV1/LaytonEditor | 51e1a9a372a8acdaa4183ae008235a721dc56cdc | [
"Unlicense"
] | 1 | 2021-08-18T11:10:35.000Z | 2021-08-18T17:32:21.000Z | formats/dcc_parser.py | C3RV1/LaytonEditor | 51e1a9a372a8acdaa4183ae008235a721dc56cdc | [
"Unlicense"
] | 2 | 2021-01-17T10:42:48.000Z | 2021-08-18T11:10:54.000Z | # Data and Code Container (DCC) format by Cervi
import typing
"""if __name__ == "__main__":
file = open("event_example.dcc")
code = file.read()
file.close()
parser = Parser()
parser.parse(code)
# parser.serialize()
# parser.parse()
print(parser.code)"""
| 37.376316 | 104 | 0.472224 |
0e1b7b2ebbd9b954f9c3ccf6192469e079ab9373 | 4,245 | py | Python | flock/__init__.py | fishface60/python-flock | 320fcc630c58852fa02653dbcc9cd80ff1304b46 | [
"0BSD"
] | null | null | null | flock/__init__.py | fishface60/python-flock | 320fcc630c58852fa02653dbcc9cd80ff1304b46 | [
"0BSD"
] | null | null | null | flock/__init__.py | fishface60/python-flock | 320fcc630c58852fa02653dbcc9cd80ff1304b46 | [
"0BSD"
] | null | null | null | #!/usr/bin/python
# Copyright (c) 2015, Richard Maw
#
# 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.
#
# THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHO... | 28.877551 | 81 | 0.725324 |
0e1c11840edfb52bafea761c6a2698a9114b7c8c | 10,333 | py | Python | uqtie/UqtStylesheet.py | langrind/UQtie | 032693695117083cdd715beb2a679e4ccee060d8 | [
"MIT"
] | null | null | null | uqtie/UqtStylesheet.py | langrind/UQtie | 032693695117083cdd715beb2a679e4ccee060d8 | [
"MIT"
] | null | null | null | uqtie/UqtStylesheet.py | langrind/UQtie | 032693695117083cdd715beb2a679e4ccee060d8 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Class that manages a UQtie application's stylesheet
There are advantages and disadvantages to Qt stylesheets, Qt settings, and
Qt Style. They aren't mutually exclusive, and they don't all play together
either.
This module attempts to make it possible to use a stylesheet w... | 36.512367 | 112 | 0.635246 |
0e1e160e8d90a3c603ba44d2101e9bfc5828fd10 | 7,104 | py | Python | clickmodel-experiments/scripts/model/ClickModelExperiment.py | nut-hatch/LOVBench | 365ea4ad0d6258b840439506ce97acb3827c39e6 | [
"Apache-2.0"
] | null | null | null | clickmodel-experiments/scripts/model/ClickModelExperiment.py | nut-hatch/LOVBench | 365ea4ad0d6258b840439506ce97acb3827c39e6 | [
"Apache-2.0"
] | 1 | 2021-08-09T20:59:22.000Z | 2021-08-09T20:59:22.000Z | clickmodel-experiments/scripts/model/ClickModelExperiment.py | nut-hatch/LOVBench | 365ea4ad0d6258b840439506ce97acb3827c39e6 | [
"Apache-2.0"
] | null | null | null | __author__ = 'Anonymous'
import time
import csv
import os.path
import pyclick
from pyclick.utils.YandexRelPredChallengeParser import YandexRelPredChallengeParser
from pyclick.utils.Utils import Utils
from pyclick.click_models.Evaluation import LogLikelihood, Perplexity
from pyclick.click_models.UBM import UBM
from py... | 48.326531 | 265 | 0.6692 |
0e1e867c79f973710511eae3645a7ccaa06989d8 | 242 | py | Python | archive/2016/week5/homework/even.py | YAtOff/python0 | b5af5004131d64dd52d42746eddb72b6c43a13c7 | [
"Apache-2.0"
] | 6 | 2017-11-08T14:04:39.000Z | 2019-03-24T22:11:04.000Z | archive/2016/week5/homework/even.py | YAtOff/python0 | b5af5004131d64dd52d42746eddb72b6c43a13c7 | [
"Apache-2.0"
] | null | null | null | archive/2016/week5/homework/even.py | YAtOff/python0 | b5af5004131d64dd52d42746eddb72b6c43a13c7 | [
"Apache-2.0"
] | 7 | 2015-10-27T09:04:58.000Z | 2019-03-03T14:18:26.000Z | """
`is_even`, `True`
`False` .
>>> is_even(4)
True
>>> is_even(5)
False
"""
| 18.615385 | 79 | 0.652893 |
0e1f37ae758638a4fc7ba5ee3a4f94668d053d38 | 2,165 | py | Python | piws/views/actions.py | neurospin/piws | 4ec6f60c6343623a82761c90c74642b4b372ffd1 | [
"CECILL-B"
] | null | null | null | piws/views/actions.py | neurospin/piws | 4ec6f60c6343623a82761c90c74642b4b372ffd1 | [
"CECILL-B"
] | 9 | 2015-05-18T09:04:35.000Z | 2017-03-24T10:47:23.000Z | piws/views/actions.py | neurospin/piws | 4ec6f60c6343623a82761c90c74642b4b372ffd1 | [
"CECILL-B"
] | 17 | 2015-03-16T08:27:47.000Z | 2017-08-04T16:26:29.000Z | ##########################################################################
# NSAp - Copyright (C) CEA, 2013
# Distributed under the terms of the CeCILL-B license, as published by
# the CEA-CNRS-INRIA. Refer to the LICENSE file or to
# http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html
# for details.
##########... | 28.116883 | 79 | 0.627714 |
0e1f4a5b7788dcd9e9439809509e149a2ed438c4 | 505 | py | Python | events/migrations/0043_remove_premium_restrictions.py | alysivji/GetTogether | 403d9945fff019701de41d081ad4452e771e1ce1 | [
"BSD-2-Clause"
] | 446 | 2018-01-21T09:22:41.000Z | 2022-03-25T17:46:12.000Z | events/migrations/0043_remove_premium_restrictions.py | alysivji/GetTogether | 403d9945fff019701de41d081ad4452e771e1ce1 | [
"BSD-2-Clause"
] | 272 | 2018-01-03T16:55:39.000Z | 2022-03-11T23:12:30.000Z | events/migrations/0043_remove_premium_restrictions.py | alysivji/GetTogether | 403d9945fff019701de41d081ad4452e771e1ce1 | [
"BSD-2-Clause"
] | 100 | 2018-01-27T02:04:15.000Z | 2021-09-09T09:02:21.000Z | # Generated by Django 2.0 on 2018-08-25 14:19
from django.db import migrations
| 31.5625 | 74 | 0.710891 |
0e1fd30efaef6619653d82bc4e1ec4b62cc2fe4c | 1,904 | py | Python | examples/Utopia2_planning_single_node_DN/tutorial2.py | AAmedeo/Hypatia | 22e14bc9bbb043c4d7dbf5b881d9dadbce6c0de1 | [
"Apache-2.0"
] | 5 | 2021-12-17T15:16:12.000Z | 2022-03-24T10:42:33.000Z | examples/Utopia2_planning_single_node_DN/tutorial2.py | AAmedeo/Hypatia | 22e14bc9bbb043c4d7dbf5b881d9dadbce6c0de1 | [
"Apache-2.0"
] | 10 | 2022-01-11T09:44:52.000Z | 2022-03-30T12:29:50.000Z | examples/Utopia2_planning_single_node_DN/tutorial2.py | AAmedeo/Hypatia | 22e14bc9bbb043c4d7dbf5b881d9dadbce6c0de1 | [
"Apache-2.0"
] | 3 | 2021-12-17T15:30:12.000Z | 2022-03-23T15:37:42.000Z | from hypatia import Model,Plotter
#%%
utopia = Model(
path = 'sets',
mode = 'Planning'
)
#%%
#utopia.create_data_excels(
# path = r'parameters'
#)
#%%
utopia.read_input_data(
path = r'parameters'
)
#%%
utopia.run(
solver = 'scipy',
verbosity = True,
)
#%%
utopia.to_csv(path='results')
#%%
#uto... | 25.052632 | 131 | 0.719013 |
0e224344c163f81deb574207f38b8233548b28f8 | 119 | bzl | Python | test/com/facebook/buck/parser/testdata/disable_implicit_native_rules/skylark/implicit_in_extension_bzl/extension.bzl | Unknoob/buck | 2dfc734354b326f2f66896dde7746a11965d5a13 | [
"Apache-2.0"
] | 8,027 | 2015-01-02T05:31:44.000Z | 2022-03-31T07:08:09.000Z | test/com/facebook/buck/parser/testdata/disable_implicit_native_rules/skylark/implicit_in_extension_bzl/extension.bzl | Unknoob/buck | 2dfc734354b326f2f66896dde7746a11965d5a13 | [
"Apache-2.0"
] | 2,355 | 2015-01-01T15:30:53.000Z | 2022-03-30T20:21:16.000Z | test/com/facebook/buck/parser/testdata/disable_implicit_native_rules/skylark/implicit_in_extension_bzl/extension.bzl | Unknoob/buck | 2dfc734354b326f2f66896dde7746a11965d5a13 | [
"Apache-2.0"
] | 1,280 | 2015-01-09T03:29:04.000Z | 2022-03-30T15:14:14.000Z | """ Example module """
def java_maker(*args, **kwargs):
""" Make you a java """
java_library(*args, **kwargs)
| 19.833333 | 33 | 0.588235 |
0e22d4557755570980a88c3dd6efa6cf9f1ddd9e | 3,600 | py | Python | backend/config/settings/base.py | r0tii/process-status-viewer | 6c94a7a6f5e37f37f63d6140c806a0b6fc49ae1c | [
"MIT"
] | null | null | null | backend/config/settings/base.py | r0tii/process-status-viewer | 6c94a7a6f5e37f37f63d6140c806a0b6fc49ae1c | [
"MIT"
] | null | null | null | backend/config/settings/base.py | r0tii/process-status-viewer | 6c94a7a6f5e37f37f63d6140c806a0b6fc49ae1c | [
"MIT"
] | null | null | null | """
Base settings to build other settings files upon.
"""
from pathlib import Path
import environ
env = environ.Env()
# GENERAL
# -------------------------------------------------------------------------
BASE_DIR = Path(__file__).resolve(strict=True).parent.parent.parent
PROJECT_NAME = "process_status_monitoring"
... | 30.252101 | 99 | 0.536667 |
0e24145bbea1ff58122f48a87e0382857109d106 | 2,039 | py | Python | virtual_agent.py | kavimathi26-2001/virtual-agent-built. | df553a16ef4e7e32a93b35a3d55e6891f21ac98d | [
"Apache-2.0"
] | 23 | 2021-10-01T13:10:29.000Z | 2021-10-30T07:57:32.000Z | virtual_agent.py | kavimathi26-2001/virtual-agent-built. | df553a16ef4e7e32a93b35a3d55e6891f21ac98d | [
"Apache-2.0"
] | null | null | null | virtual_agent.py | kavimathi26-2001/virtual-agent-built. | df553a16ef4e7e32a93b35a3d55e6891f21ac98d | [
"Apache-2.0"
] | 28 | 2021-09-13T05:41:56.000Z | 2021-10-30T07:31:46.000Z | #import all the libraries required
import csv, pickle, numpy as np, os
from sentence_transformers import SentenceTransformer, util
#Virtual Agent Model
| 49.731707 | 115 | 0.62972 |
0e2735db31e23d6ef2afd7530322a682fcd103d9 | 2,703 | py | Python | hyperloglog/hashfunctions.py | mlkra/various-algorithms | 9cb2d21fe9ec0613c88e70f70e0ff1d471e43079 | [
"MIT"
] | 2 | 2021-12-04T16:12:03.000Z | 2021-12-25T06:57:27.000Z | mincount/hashfunctions.py | mlkra/various-algorithms | 9cb2d21fe9ec0613c88e70f70e0ff1d471e43079 | [
"MIT"
] | null | null | null | mincount/hashfunctions.py | mlkra/various-algorithms | 9cb2d21fe9ec0613c88e70f70e0ff1d471e43079 | [
"MIT"
] | null | null | null | from typing import Callable
import hashlib
import zlib
hash_functions = {
"md5": md5,
"sha1": sha1,
"sha224": sha224,
"sha256": sha256,
"sha384": sha384,
"sha512": sha512,
"blake2b": blake2b,
"blake2s": blake2s,
"sha3_224": sha3_224,
"sha3_256": sha3_256,
... | 22.525 | 101 | 0.594895 |
0e282455991d9cc519b5a1a793207bc93c3d9068 | 793 | py | Python | data_loaders/data_loader_interface.py | jennis0/pdf2vtt | 4aad37ef3dfce4d83f3a2744856879598cd4446f | [
"MIT"
] | null | null | null | data_loaders/data_loader_interface.py | jennis0/pdf2vtt | 4aad37ef3dfce4d83f3a2744856879598cd4446f | [
"MIT"
] | null | null | null | data_loaders/data_loader_interface.py | jennis0/pdf2vtt | 4aad37ef3dfce4d83f3a2744856879598cd4446f | [
"MIT"
] | null | null | null | import abc
from typing import List
from utils.datatypes import Source | 36.045455 | 93 | 0.706179 |
0e28d4b2f8c651a0637bb6e71017d6d807b4a977 | 247 | py | Python | Learn/30-Days-Of-Code/Day 28/regexdb.py | Adriel-M/HackerRank | 0f361bb7eaa3d2db3dd96de511c4b7fa02efa8c5 | [
"MIT"
] | 1 | 2021-11-24T16:43:10.000Z | 2021-11-24T16:43:10.000Z | Learn/30-Days-Of-Code/Day 28/regexdb.py | Adriel-M/HackerRank | 0f361bb7eaa3d2db3dd96de511c4b7fa02efa8c5 | [
"MIT"
] | null | null | null | Learn/30-Days-Of-Code/Day 28/regexdb.py | Adriel-M/HackerRank | 0f361bb7eaa3d2db3dd96de511c4b7fa02efa8c5 | [
"MIT"
] | null | null | null | N = int(input().strip())
names = []
for _ in range(N):
name,email = input().strip().split(' ')
name,email = [str(name),str(email)]
if email.endswith("@gmail.com"):
names.append(name)
names.sort()
for n in names:
print(n)
| 19 | 43 | 0.578947 |
0e2930d0e963e50e57e9afabe5382cdd9bed7229 | 4,176 | py | Python | dbglang/dbp.py | thautwarm/dbg-lang | 22b5230bc1658494b93a2741aab3ef63a06fdee3 | [
"MIT"
] | 1 | 2018-04-09T11:43:52.000Z | 2018-04-09T11:43:52.000Z | dbglang/dbp.py | thautwarm/dbg-lang | 22b5230bc1658494b93a2741aab3ef63a06fdee3 | [
"MIT"
] | null | null | null | dbglang/dbp.py | thautwarm/dbg-lang | 22b5230bc1658494b93a2741aab3ef63a06fdee3 | [
"MIT"
] | 1 | 2019-06-21T08:33:24.000Z | 2019-06-21T08:33:24.000Z | from Ruikowa.ObjectRegex.Node import Ref, AstParser, SeqParser, LiteralParser, CharParser, MetaInfo, DependentAstParser
try:
from .etoken import token
except:
from etoken import token
import re
namespace = globals()
recurSearcher = set()
PrimaryDefList = AstParser([Ref('FieldDef'), SeqParser([LiteralParser(',... | 64.246154 | 120 | 0.608477 |
0e2afcb852554bb61271877076847899b292fc37 | 4,128 | py | Python | App/components/combEntrada.py | Alexfm101/automata | a39760a04d384ef96ce49cac2517d7248380bd72 | [
"MIT"
] | null | null | null | App/components/combEntrada.py | Alexfm101/automata | a39760a04d384ef96ce49cac2517d7248380bd72 | [
"MIT"
] | null | null | null | App/components/combEntrada.py | Alexfm101/automata | a39760a04d384ef96ce49cac2517d7248380bd72 | [
"MIT"
] | null | null | null | import sys
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
data_edoSiguiente = [[1, 2, 3, 4],[1, 2, 3, 4],[1, 2, 3, 4],[1, 2, 3, 4],
[1, 2, 3, 4],[1, 2, 3, 4],[1, 2, 3, 4],[1, 2, 3, 4],
[1, 2, 3, 4],[1, 2, 3, 4],[1, 2, 3, 4],[1, 2, 3, 4],
[1, 2, 3, 4],[1... | 33.024 | 83 | 0.428052 |
0e2b1e0932a1e36d8ff5f038e7d31ff803df6266 | 1,794 | py | Python | pythonAlgorithm/datastrcture/Kth Smallest Number in Sorted Matrix.py | Sky-zzt/lintcodePractice | d6436b296c5865d85e55c8ad4fcdbb0165d4ebb1 | [
"MIT"
] | 1 | 2020-09-15T07:58:55.000Z | 2020-09-15T07:58:55.000Z | pythonAlgorithm/datastrcture/Kth Smallest Number in Sorted Matrix.py | Sky-zzt/lintcodePractice | d6436b296c5865d85e55c8ad4fcdbb0165d4ebb1 | [
"MIT"
] | null | null | null | pythonAlgorithm/datastrcture/Kth Smallest Number in Sorted Matrix.py | Sky-zzt/lintcodePractice | d6436b296c5865d85e55c8ad4fcdbb0165d4ebb1 | [
"MIT"
] | null | null | null | import heapq
| 23.92 | 70 | 0.544593 |
0e2c27724ea07da3d95021b9be790ef2004472e6 | 2,158 | py | Python | thriftpy2/contrib/aio/transport/framed.py | JonnoFTW/thriftpy2 | 3b4d28d611a752f8796604ee274f03c517670a43 | [
"MIT"
] | 5,079 | 2015-01-01T03:39:46.000Z | 2022-03-31T07:38:22.000Z | thriftpy2/contrib/aio/transport/framed.py | JonnoFTW/thriftpy2 | 3b4d28d611a752f8796604ee274f03c517670a43 | [
"MIT"
] | 1,623 | 2015-01-01T08:06:24.000Z | 2022-03-30T19:48:52.000Z | thriftpy2/contrib/aio/transport/framed.py | JonnoFTW/thriftpy2 | 3b4d28d611a752f8796604ee274f03c517670a43 | [
"MIT"
] | 2,033 | 2015-01-04T07:18:02.000Z | 2022-03-28T19:55:47.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import
import struct
import asyncio
from io import BytesIO
from .base import TAsyncTransportBase, readall
from .buffered import TAsyncBufferedTransport
def getvalue(self):
return self._trans.getvalue()
class TAsyncFramedTransportFactory(object):... | 28.773333 | 79 | 0.647822 |
0e2d0a35bac66187f607550adfc8a5821291ee5b | 3,493 | py | Python | test/test-funders.py | yurivict/habanero | 857897a88811153f7460472219fd78d4e68bdc12 | [
"MIT"
] | null | null | null | test/test-funders.py | yurivict/habanero | 857897a88811153f7460472219fd78d4e68bdc12 | [
"MIT"
] | 1 | 2015-10-07T02:20:24.000Z | 2015-10-07T02:20:24.000Z | test/test-funders.py | yurivict/habanero | 857897a88811153f7460472219fd78d4e68bdc12 | [
"MIT"
] | null | null | null | import pytest
import os
import requests
from habanero import exceptions, Crossref
from requests.exceptions import HTTPError
cr = Crossref()
| 26.263158 | 87 | 0.681363 |
0e2d51cb9fe9bb1546fc7bbea2cb77d09472d09a | 812 | py | Python | geomagio/api/ws/algorithms.py | alejandrodelcampillo/geomag-algorithms | 43a734d63a8eb2a696f14237e0054e21d36de7c3 | [
"CC0-1.0"
] | 1 | 2021-02-22T23:45:22.000Z | 2021-02-22T23:45:22.000Z | geomagio/api/ws/algorithms.py | alejandrodelcampillo/geomag-algorithms | 43a734d63a8eb2a696f14237e0054e21d36de7c3 | [
"CC0-1.0"
] | 1 | 2021-09-08T03:42:52.000Z | 2021-09-08T03:42:52.000Z | geomagio/api/ws/algorithms.py | alejandrodelcampillo/geomag-algorithms | 43a734d63a8eb2a696f14237e0054e21d36de7c3 | [
"CC0-1.0"
] | null | null | null | from fastapi import APIRouter, Depends
from starlette.responses import Response
from ... import TimeseriesFactory
from ...algorithm import DbDtAlgorithm
from .DataApiQuery import DataApiQuery
from .data import format_timeseries, get_data_factory, get_data_query, get_timeseries
router = APIRouter()
| 29 | 85 | 0.748768 |
0e2d851e83694bcead0aaa245c930030f6827cc1 | 1,478 | py | Python | lesson3/stage3/src/jvm/udacity/storm/resources/urltext.py | haitanle/storm-twitter | b68c90129d31eb11808922ec56ac9ac6535fdab2 | [
"MIT"
] | null | null | null | lesson3/stage3/src/jvm/udacity/storm/resources/urltext.py | haitanle/storm-twitter | b68c90129d31eb11808922ec56ac9ac6535fdab2 | [
"MIT"
] | null | null | null | lesson3/stage3/src/jvm/udacity/storm/resources/urltext.py | haitanle/storm-twitter | b68c90129d31eb11808922ec56ac9ac6535fdab2 | [
"MIT"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 35.190476 | 105 | 0.699594 |
0e2e642553f3d2eca725be5123dcabd2612e0fef | 598 | py | Python | ncl/property.py | MichaelBittencourt/NCL-Generator-API | 8eecf2ea4948354fae9f64b68da2f24ad0663d60 | [
"MIT"
] | 1 | 2020-06-26T09:59:27.000Z | 2020-06-26T09:59:27.000Z | ncl/property.py | MichaelBittencourt/NCL-Generator-API | 8eecf2ea4948354fae9f64b68da2f24ad0663d60 | [
"MIT"
] | null | null | null | ncl/property.py | MichaelBittencourt/NCL-Generator-API | 8eecf2ea4948354fae9f64b68da2f24ad0663d60 | [
"MIT"
] | 1 | 2020-01-07T23:16:11.000Z | 2020-01-07T23:16:11.000Z | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright 2019 Michael Bittencourt <mchl.bittencourt@gmail.com>
#
# Distributed under terms of the MIT license.
"""
"""
from ncl.abstractelement import AbstractElement
| 23.92 | 73 | 0.633779 |
0e2f13b1e7a11523bafcf1c9ffaaf118b159dadf | 372 | py | Python | DSTK/Timeseries/recurrence_plots.py | jotterbach/dstk | d371262ca09527fb8279f066b564abf5a1fe28df | [
"MIT"
] | 12 | 2017-01-10T19:50:32.000Z | 2020-03-30T20:28:31.000Z | DSTK/Timeseries/recurrence_plots.py | jotterbach/dstk | d371262ca09527fb8279f066b564abf5a1fe28df | [
"MIT"
] | 7 | 2016-10-12T16:21:58.000Z | 2016-12-01T00:34:54.000Z | DSTK/Timeseries/recurrence_plots.py | jotterbach/dstk | d371262ca09527fb8279f066b564abf5a1fe28df | [
"MIT"
] | 8 | 2016-08-22T11:23:12.000Z | 2020-03-13T23:18:39.000Z | import _recurrence_map
import numpy as np
| 23.25 | 54 | 0.725806 |
0e2f2f3cf1a3df42e62c08dda70b278f740b11d2 | 2,755 | py | Python | preprocess.py | costagreg/mnist-handwritten-ml | c3e26eb7ab653afa6f9e9dc91f5a438026b64329 | [
"MIT"
] | null | null | null | preprocess.py | costagreg/mnist-handwritten-ml | c3e26eb7ab653afa6f9e9dc91f5a438026b64329 | [
"MIT"
] | 1 | 2019-06-23T16:41:26.000Z | 2019-08-12T09:54:52.000Z | preprocess.py | costagreg/mnist-handwritten-ml | c3e26eb7ab653afa6f9e9dc91f5a438026b64329 | [
"MIT"
] | 1 | 2019-08-12T06:38:35.000Z | 2019-08-12T06:38:35.000Z | import cv2
import math
import numpy as np
import os
import matplotlib.pyplot as plt
from scipy import ndimage
from utils import ValueInvert
# TO-DO: Refactor this with np.nonzero??
| 26.490385 | 77 | 0.56951 |