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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f1f067f028748782da40d03c616d1804024a0dea | 3,271 | py | Python | tests/models/classifiers/test_logistic.py | harmsm/epistasis | 741b25b3e28015aeeba8d4efc94af1e1d811cd63 | [
"Unlicense"
] | null | null | null | tests/models/classifiers/test_logistic.py | harmsm/epistasis | 741b25b3e28015aeeba8d4efc94af1e1d811cd63 | [
"Unlicense"
] | null | null | null | tests/models/classifiers/test_logistic.py | harmsm/epistasis | 741b25b3e28015aeeba8d4efc94af1e1d811cd63 | [
"Unlicense"
] | 2 | 2020-04-02T00:58:24.000Z | 2021-11-16T13:30:30.000Z | import pytest
# External imports
import numpy as np
from gpmap import GenotypePhenotypeMap
# Module to test
import epistasis
from epistasis.models.classifiers import *
THRESHOLD = 0.2
| 27.258333 | 60 | 0.61174 |
f1f07ae2628711dd9b1d256f9780dc722c6f8e53 | 381 | py | Python | backend/notifications/admin.py | solitariaa/CMPUT404-project-socialdistribution | f9e23a10e209f8bf7ed062e105f44038751f7c74 | [
"W3C-20150513"
] | 1 | 2022-03-01T03:03:40.000Z | 2022-03-01T03:03:40.000Z | backend/notifications/admin.py | solitariaa/CMPUT404-project-socialdistribution | f9e23a10e209f8bf7ed062e105f44038751f7c74 | [
"W3C-20150513"
] | 51 | 2022-02-09T06:18:27.000Z | 2022-03-28T19:01:54.000Z | backend/notifications/admin.py | solitariaa/CMPUT404-project-socialdistribution | f9e23a10e209f8bf7ed062e105f44038751f7c74 | [
"W3C-20150513"
] | 2 | 2022-03-13T20:58:10.000Z | 2022-03-19T06:29:56.000Z | from django.contrib import admin
from .models import Notification
admin.site.register(Notification, NotificationAdmin)
| 23.8125 | 63 | 0.727034 |
f1f2709a9b0d54f4549f4f5b2c964cce095a32f9 | 3,655 | py | Python | example/experiments/01_experiment.py | dzwiedziu-nkg/credo-classify-framework | 45417b505b4f4b20a7248f3487ca57a3fd49ccee | [
"MIT"
] | null | null | null | example/experiments/01_experiment.py | dzwiedziu-nkg/credo-classify-framework | 45417b505b4f4b20a7248f3487ca57a3fd49ccee | [
"MIT"
] | null | null | null | example/experiments/01_experiment.py | dzwiedziu-nkg/credo-classify-framework | 45417b505b4f4b20a7248f3487ca57a3fd49ccee | [
"MIT"
] | 3 | 2020-06-19T15:41:19.000Z | 2020-06-29T12:47:05.000Z | import bz2
import time
import urllib.request
import io
from typing import List, Tuple
from credo_cf import load_json_from_stream, progress_and_process_image, group_by_device_id, group_by_resolution, too_often, near_hot_pixel2, \
too_bright
from credo_cf import xor_preprocess
from credo_cf.commons.utils import get_... | 31.782609 | 142 | 0.642681 |
f1f2862dcb680020685252fc0444e7b7a36ac2b8 | 427 | py | Python | apptweak/ios.py | gudhati/apptweak-api-python-library | f4a7f7e34548d6d216f3a297d63944c7adbf9667 | [
"MIT"
] | 5 | 2019-05-21T14:44:57.000Z | 2020-10-30T04:08:13.000Z | apptweak/ios.py | gudhati/apptweak-api-python-library | f4a7f7e34548d6d216f3a297d63944c7adbf9667 | [
"MIT"
] | 1 | 2020-08-28T02:42:37.000Z | 2020-08-28T07:52:54.000Z | apptweak/ios.py | gudhati/apptweak-api-python-library | f4a7f7e34548d6d216f3a297d63944c7adbf9667 | [
"MIT"
] | 5 | 2019-07-18T13:38:01.000Z | 2021-06-09T04:12:35.000Z | from apptweak.plateform import *
| 26.6875 | 81 | 0.697892 |
f1f2f70605379c3a09598bf2b8739bb4f47caa1b | 3,944 | py | Python | 30-Days-Of-Python/30-Days-Of-Python/19_file_handling.py | zhaobingwang/python-samples | d59f84d2b967cc793cb9b8999f8cdef349fd6fd5 | [
"MIT"
] | null | null | null | 30-Days-Of-Python/30-Days-Of-Python/19_file_handling.py | zhaobingwang/python-samples | d59f84d2b967cc793cb9b8999f8cdef349fd6fd5 | [
"MIT"
] | null | null | null | 30-Days-Of-Python/30-Days-Of-Python/19_file_handling.py | zhaobingwang/python-samples | d59f84d2b967cc793cb9b8999f8cdef349fd6fd5 | [
"MIT"
] | null | null | null | print('---------- Opening Files for Reading ----------')
f = open('./files/reading_file_example.txt')
print(f) # <_io.TextIOWrapper name='./files/reading_file_example.txt' mode='r' encoding='cp936'>
print('\t---------- read() ----------')
# read(): read the whole text as string. If we want to limit the number of char... | 31.806452 | 113 | 0.606491 |
f1f6211abde32ba71ccaac35e7c39eb9935dfa7c | 2,491 | py | Python | data/grady-memorial-hospital/parse.py | Afellman/hospital-chargemaster | 1b87bc64d95d97c0538be7633f9e469e5db624e2 | [
"MIT"
] | 34 | 2019-01-18T00:15:58.000Z | 2022-03-26T15:01:08.000Z | data/grady-memorial-hospital/parse.py | wsheffel/hospital-chargemaster | b3473c798fd2f343f7f02c1e32496f9eea9fa94d | [
"MIT"
] | 8 | 2019-01-16T22:06:11.000Z | 2019-02-25T00:59:25.000Z | data/grady-memorial-hospital/parse.py | wsheffel/hospital-chargemaster | b3473c798fd2f343f7f02c1e32496f9eea9fa94d | [
"MIT"
] | 10 | 2019-02-20T14:58:16.000Z | 2021-11-22T21:57:04.000Z | #!/usr/bin/env python
import os
from glob import glob
import json
import pandas
import datetime
import sys
here = os.path.dirname(os.path.abspath(__file__))
folder = os.path.basename(here)
latest = '%s/latest' % here
year = datetime.datetime.today().year
output_data = os.path.join(here, 'data-latest.tsv')
output_year... | 29.654762 | 75 | 0.583701 |
f1f62ac7868b351e283f53daaf44f5e2562dfc27 | 10,476 | py | Python | DeterministicParticleFlowControl/tests/test_pytorch_kernel.py | dimitra-maoutsa/DeterministicParticleFlowControl | 106bc9b01d7a4888e4ded18c5fb5a989fe672386 | [
"MIT"
] | 6 | 2021-12-13T14:30:31.000Z | 2022-01-24T07:54:57.000Z | DeterministicParticleFlowControl/tests/test_pytorch_kernel.py | dimitra-maoutsa/DeterministicParticleFlowControl | 106bc9b01d7a4888e4ded18c5fb5a989fe672386 | [
"MIT"
] | 10 | 2021-12-18T23:04:53.000Z | 2022-02-05T02:06:34.000Z | DeterministicParticleFlowControl/tests/test_pytorch_kernel.py | dimitra-maoutsa/DeterministicParticleFlowControl | 106bc9b01d7a4888e4ded18c5fb5a989fe672386 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 10 07:20:39 2022
@author: maout
"""
import numpy as np
from scipy.spatial.distance import cdist
import torch
#from score_function_estimators import my_cdist
from typing import Union
from torch.autograd import grad
#%% select available device
#%%
#%% numpy versions of... | 37.683453 | 180 | 0.612447 |
f1f6905a9916f479816181eeb443cb6b650cc61b | 11,075 | py | Python | components.py | zachgk/tfcomponents | 6c33349ab13549debfc9b347df795c82e38cfa73 | [
"MIT"
] | null | null | null | components.py | zachgk/tfcomponents | 6c33349ab13549debfc9b347df795c82e38cfa73 | [
"MIT"
] | null | null | null | components.py | zachgk/tfcomponents | 6c33349ab13549debfc9b347df795c82e38cfa73 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import division, print_function, absolute_import
import tensorflow as tf
import tflearn
from tflearn import variables as vs
from tflearn import activations
from tflearn import initializations
from tflearn import losses
from tflearn import utils
componentInherit = {
'global... | 34.182099 | 116 | 0.557562 |
f1f9c0eee8a8c52481a3d1792850e6310a0a8163 | 1,984 | py | Python | tests/unit/warnings_test.py | gamechanger/dusty | dd9778e3a4f0c623209e53e98aa9dc1fe76fc309 | [
"MIT"
] | 421 | 2015-06-02T16:29:59.000Z | 2021-06-03T18:44:42.000Z | tests/unit/warnings_test.py | gamechanger/dusty | dd9778e3a4f0c623209e53e98aa9dc1fe76fc309 | [
"MIT"
] | 404 | 2015-06-02T20:23:42.000Z | 2019-08-21T16:59:41.000Z | tests/unit/warnings_test.py | gamechanger/dusty | dd9778e3a4f0c623209e53e98aa9dc1fe76fc309 | [
"MIT"
] | 16 | 2015-06-16T17:21:02.000Z | 2020-03-27T02:27:09.000Z | from ..testcases import DustyTestCase
from dusty.warnings import Warnings
| 45.090909 | 229 | 0.689516 |
f1fa3f6469623ef44f7b253d9c5da8307b330081 | 4,655 | py | Python | dndice.py | Ar4093/PythonUtils | fd2d1e0eab51c40cd75b42a513f6e76ea8f76bb3 | [
"MIT"
] | null | null | null | dndice.py | Ar4093/PythonUtils | fd2d1e0eab51c40cd75b42a513f6e76ea8f76bb3 | [
"MIT"
] | null | null | null | dndice.py | Ar4093/PythonUtils | fd2d1e0eab51c40cd75b42a513f6e76ea8f76bb3 | [
"MIT"
] | null | null | null | from random import randint
import re
# Supported formats:
# [A]dX[(L|H|K)n][.Y1[.Y2[...]]]
# A - number of dice
# X - number of sides of dice
# . - operation: allowed are + - * x /
# Ln/Hn/Kn - discard the Lowest n dice or Keep the Highest n dice. - will only apply the first of these, in order LHK
# Y1,Y2,...... | 34.738806 | 140 | 0.478195 |
f1fbbda465699c148d64aca8b6b9736f618761e2 | 2,471 | py | Python | cfg/configure_model.py | dadelani/sentiment-discovery | 0cbfc5f6345dacbf52f1f806a9e136a61ca35cf8 | [
"BSD-3-Clause"
] | 2 | 2019-04-24T08:23:54.000Z | 2020-06-24T10:25:34.000Z | cfg/configure_model.py | mikekestemont/sentiment-discovery | 84bf39846ddf6b099d99318214a013269b5b0e61 | [
"BSD-3-Clause"
] | null | null | null | cfg/configure_model.py | mikekestemont/sentiment-discovery | 84bf39846ddf6b099d99318214a013269b5b0e61 | [
"BSD-3-Clause"
] | 1 | 2019-03-23T08:07:33.000Z | 2019-03-23T08:07:33.000Z | import os
from sentiment_discovery.reparameterization import remove_weight_norm
from sentiment_discovery.model import make_model
def configure_model(parser):
"""add cmdline args for configuring models"""
parser.add_argument('-load_model', default='',
help="""a specific checkpoint file to load from exp... | 39.854839 | 93 | 0.718737 |
f1fcac439aa33bb2b7ada9c60628d61b4b1afd6c | 4,309 | py | Python | tests/backends/console/test_env.py | j5api/j5 | d3158cfd3d0d19ed33aba0c5c2c1f17a38fe12c7 | [
"MIT"
] | 10 | 2019-01-19T13:09:37.000Z | 2021-06-18T13:40:10.000Z | tests/backends/console/test_env.py | j5api/j5 | d3158cfd3d0d19ed33aba0c5c2c1f17a38fe12c7 | [
"MIT"
] | 681 | 2019-01-22T18:12:23.000Z | 2022-03-25T14:14:31.000Z | tests/backends/console/test_env.py | j5api/j5 | d3158cfd3d0d19ed33aba0c5c2c1f17a38fe12c7 | [
"MIT"
] | 8 | 2019-02-22T21:45:47.000Z | 2021-11-17T19:43:33.000Z | """Tests for the ConsoleEnvironment and Console helper."""
from j5.backends.console import Console
def test_console_instantiation() -> None:
"""Test that we can create a console."""
console = Console("MockConsole")
assert type(console) is Console
assert console._descriptor == "MockConsole"
def tes... | 31.918519 | 89 | 0.598283 |
f1ff198ad462185fb2910c252e87000aebf824f5 | 6,351 | py | Python | backend/modules/cache.py | fheyen/ClaVis | 528ca85dd05606d39761b5a00d755500cf1cd2f6 | [
"MIT"
] | 2 | 2021-01-11T20:09:32.000Z | 2021-05-14T14:52:48.000Z | backend/modules/cache.py | fheyen/ClaVis | 528ca85dd05606d39761b5a00d755500cf1cd2f6 | [
"MIT"
] | null | null | null | backend/modules/cache.py | fheyen/ClaVis | 528ca85dd05606d39761b5a00d755500cf1cd2f6 | [
"MIT"
] | null | null | null | from os import listdir, remove, makedirs
from os.path import isfile, join, exists
import shutil
import joblib
from termcolor import cprint
import json
from pathlib import Path
_cache_path = None
_log_actions = True
def init(cache_path, log_actions=True):
"""
Initializes the cache.
Keyword Arguments:
... | 26.352697 | 140 | 0.597859 |
7b00a8aae5f5c462bd8742df1743968940cbb675 | 8,123 | py | Python | training/data/sampler.py | jpjuvo/PANDA-challenge-raehmae | 5748cd23f18e2dd36d56918dcee495b822d2a5cd | [
"MIT"
] | null | null | null | training/data/sampler.py | jpjuvo/PANDA-challenge-raehmae | 5748cd23f18e2dd36d56918dcee495b822d2a5cd | [
"MIT"
] | null | null | null | training/data/sampler.py | jpjuvo/PANDA-challenge-raehmae | 5748cd23f18e2dd36d56918dcee495b822d2a5cd | [
"MIT"
] | 1 | 2021-04-20T04:37:47.000Z | 2021-04-20T04:37:47.000Z | import torch
import os
import numpy as np
import random
import pandas as pd
from sklearn.model_selection import StratifiedKFold
from data.tileimages import *
from data.multitask import *
import fastai
from fastai.vision import *
| 40.819095 | 111 | 0.519266 |
7b0127f18652a5554693ea5f44876da7eca25e09 | 281 | py | Python | ABC/194/a.py | fumiyanll23/AtCoder | 362ca9fcacb5415c1458bc8dee5326ba2cc70b65 | [
"MIT"
] | null | null | null | ABC/194/a.py | fumiyanll23/AtCoder | 362ca9fcacb5415c1458bc8dee5326ba2cc70b65 | [
"MIT"
] | null | null | null | ABC/194/a.py | fumiyanll23/AtCoder | 362ca9fcacb5415c1458bc8dee5326ba2cc70b65 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
main()
| 14.05 | 36 | 0.441281 |
7b0281efeed9226063f79960fa17b68b47603613 | 2,578 | py | Python | test/graph/test_from_ase.py | yhtang/GraphDot | 3d5ed4fbb2f6912052baa42780b436da76979691 | [
"BSD-3-Clause-LBNL"
] | 9 | 2020-02-14T18:07:39.000Z | 2021-12-15T12:07:31.000Z | test/graph/test_from_ase.py | yhtang/graphdot | 3d5ed4fbb2f6912052baa42780b436da76979691 | [
"BSD-3-Clause-LBNL"
] | 3 | 2020-03-19T19:07:26.000Z | 2021-02-24T06:08:51.000Z | test/graph/test_from_ase.py | yhtang/graphdot | 3d5ed4fbb2f6912052baa42780b436da76979691 | [
"BSD-3-Clause-LBNL"
] | 3 | 2019-10-17T06:11:18.000Z | 2021-05-07T11:56:33.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pytest
from ase.build import molecule
from ase.lattice.cubic import SimpleCubic
from graphdot.graph import Graph
from graphdot.graph.adjacency import AtomicAdjacency
adjacencies = [
AtomicAdjacency(shape='tent1', length_scale=1.0, zoom=1),
AtomicAdjacency(s... | 38.477612 | 79 | 0.660978 |
7b02e549c87583bcf554b71f024544d0bb0dac0a | 2,735 | py | Python | FEM/src/FemIo.py | BartSiwek/Neurotransmitter2D | 200c1b7e74de0786b1bb52d456e227f9d64cebc6 | [
"MIT"
] | null | null | null | FEM/src/FemIo.py | BartSiwek/Neurotransmitter2D | 200c1b7e74de0786b1bb52d456e227f9d64cebc6 | [
"MIT"
] | null | null | null | FEM/src/FemIo.py | BartSiwek/Neurotransmitter2D | 200c1b7e74de0786b1bb52d456e227f9d64cebc6 | [
"MIT"
] | null | null | null | import string
import scipy
import PslgIo, ElementAwarePslg | 27.35 | 102 | 0.571115 |
7b04376d12aae979563b6b36b34ff0b76d2dcff0 | 3,466 | py | Python | dianna/__init__.py | cffbots/dianna | 21e272dce2862747a5109341b622798f667d9248 | [
"Apache-2.0"
] | null | null | null | dianna/__init__.py | cffbots/dianna | 21e272dce2862747a5109341b622798f667d9248 | [
"Apache-2.0"
] | null | null | null | dianna/__init__.py | cffbots/dianna | 21e272dce2862747a5109341b622798f667d9248 | [
"Apache-2.0"
] | null | null | null | """
DIANNA: Deep Insight And Neural Network Analysis.
Modern scientific challenges are often tackled with (Deep) Neural Networks (DNN).
Despite their high predictive accuracy, DNNs lack inherent explainability. Many DNN
users, especially scientists, do not harvest DNNs power because of lack of trust and
understanding ... | 42.790123 | 99 | 0.742643 |
7b0494a9e41efc09a0891a5e4ffe2bfd4e84d0d3 | 2,925 | py | Python | printer/gpio.py | 3DRPP/printer | 7826c7c82a5331d916d8ea038bd3a44aff6e35b5 | [
"MIT"
] | null | null | null | printer/gpio.py | 3DRPP/printer | 7826c7c82a5331d916d8ea038bd3a44aff6e35b5 | [
"MIT"
] | null | null | null | printer/gpio.py | 3DRPP/printer | 7826c7c82a5331d916d8ea038bd3a44aff6e35b5 | [
"MIT"
] | null | null | null | try:
import RPi.GPIO as GPIO
except RuntimeError:
print("Error importing RPi.GPIO! This is probably because you need "
"superuser privileges. You can achieve this by using 'sudo' to run "
"your script")
gpios = [7, 8, 10, 11, 12, 13, 15, 16, 18, 19, 21, 22, 23, 24, 26, 29,
31, 32... | 29.545455 | 79 | 0.523419 |
7b04e005435865593cbdccc3f6d9e91235157df4 | 1,395 | py | Python | simple_joint_subscriber/scripts/joint_subscriber.py | itk-thrivaldi/thrivaldi_examples | 7c00ad4e1b4fa4b0f27c88e8c0147f8105b042fd | [
"Apache-2.0"
] | null | null | null | simple_joint_subscriber/scripts/joint_subscriber.py | itk-thrivaldi/thrivaldi_examples | 7c00ad4e1b4fa4b0f27c88e8c0147f8105b042fd | [
"Apache-2.0"
] | 1 | 2017-12-14T14:04:24.000Z | 2017-12-14T16:58:05.000Z | simple_joint_subscriber/scripts/joint_subscriber.py | itk-thrivaldi/thrivaldi_examples | 7c00ad4e1b4fa4b0f27c88e8c0147f8105b042fd | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import rospy # For all things ros with python
# JointState is defined in sensor_msgs.msg
# If you know a message but not where it is
# call rosmsg info MSGNAME from the terminal
from sensor_msgs.msg import JointState
# This tutorial takes heavily from
# http://wiki.ros.org/ROS/Tutorials/WritingP... | 34.875 | 79 | 0.7319 |
7b0521366a87b5722240ee07005b1b01f21cf17a | 1,291 | py | Python | src/lab4_cam/src/sawyercam.py | citronella3alain/baxterDraw | c050254e8b4b8d4f5087e8743a34289844138e0c | [
"MIT"
] | null | null | null | src/lab4_cam/src/sawyercam.py | citronella3alain/baxterDraw | c050254e8b4b8d4f5087e8743a34289844138e0c | [
"MIT"
] | null | null | null | src/lab4_cam/src/sawyercam.py | citronella3alain/baxterDraw | c050254e8b4b8d4f5087e8743a34289844138e0c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Aran Sena 2018
#
# Code example only, provided without guarantees
#
# Example for how to get both cameras streaming together
#
####
import rospy
from intera_core_msgs.srv._IOComponentCommandSrv import IOComponentCommandSrv
from intera_core_msgs.msg._IOComponentCommand import IOCompon... | 33.102564 | 110 | 0.655306 |
7b061600468274d3cebd155c75fff8f1303d7256 | 12,279 | py | Python | citydata/crime.py | JackKirbyCook82/neighborhood | 3805fa11890e121ffadcaaf8f02323434cb68519 | [
"MIT"
] | null | null | null | citydata/crime.py | JackKirbyCook82/neighborhood | 3805fa11890e121ffadcaaf8f02323434cb68519 | [
"MIT"
] | null | null | null | citydata/crime.py | JackKirbyCook82/neighborhood | 3805fa11890e121ffadcaaf8f02323434cb68519 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun May 2 2021
@name: CityData CensusTract Download Application
@author: Jack Kirby Cook
"""
import sys
import os.path
import warnings
import logging
import regex as re
MAIN_DIR = os.path.dirname(os.path.realpath(__file__))
MODULE_DIR = os.path.abspath(os.path.join(MAIN_DIR, ... | 47.964844 | 197 | 0.710807 |
7b072a958ac36c49b32339e29f7e4de28848fadd | 3,644 | py | Python | apportionpy/experimental/boundary.py | btror/apportionpy | 5b70dbeee4b197e41794bed061ea4a11f128d1c8 | [
"MIT"
] | null | null | null | apportionpy/experimental/boundary.py | btror/apportionpy | 5b70dbeee4b197e41794bed061ea4a11f128d1c8 | [
"MIT"
] | null | null | null | apportionpy/experimental/boundary.py | btror/apportionpy | 5b70dbeee4b197e41794bed061ea4a11f128d1c8 | [
"MIT"
] | null | null | null | import math
def estimate_lowest_divisor(method, divisor, populations, seats):
"""
Calculates the estimated lowest possible divisor.
:param method: The method used.
:type method: str
:param divisor: A working divisor in calculating fair shares.
:type divisor: float
:param populations: Th... | 30.881356 | 72 | 0.611416 |
7b0bcb46e200df6f78d9fe78eb07f700564fadd3 | 4,084 | py | Python | csv_to_table.py | canary-for-cognition/multimodal-ml-framework | 379963e2815165b28a28c983d32dd17656fba9a9 | [
"MIT"
] | 1 | 2021-11-10T10:28:01.000Z | 2021-11-10T10:28:01.000Z | csv_to_table.py | canary-for-cognition/multimodal-ml-framework | 379963e2815165b28a28c983d32dd17656fba9a9 | [
"MIT"
] | null | null | null | csv_to_table.py | canary-for-cognition/multimodal-ml-framework | 379963e2815165b28a28c983d32dd17656fba9a9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
# import pylatex
from pylatex import Document, Section, Tabular, Math, Axis, Subsection
import pandas as pd
import sys
import os
main()
| 51.696203 | 131 | 0.578355 |
7b0d0466817dc17050d1085421ef9276feb2fb86 | 2,803 | py | Python | torch_audioset/vggish/model.py | Guillaume-oso/torch_audioset | e8852c53becef811784754a2de9c4617d8db2156 | [
"MIT"
] | 26 | 2020-03-25T21:19:33.000Z | 2022-02-01T15:14:29.000Z | torch_audioset/vggish/model.py | Guillaume-oso/torch_audioset | e8852c53becef811784754a2de9c4617d8db2156 | [
"MIT"
] | 7 | 2020-05-31T07:57:05.000Z | 2021-12-23T10:16:55.000Z | torch_audioset/vggish/model.py | Guillaume-oso/torch_audioset | e8852c53becef811784754a2de9c4617d8db2156 | [
"MIT"
] | 8 | 2020-10-27T16:22:55.000Z | 2022-03-28T22:48:07.000Z | import os.path as osp
import yaml
import torch.nn as nn
from torch import hub
__all__ = ['get_vggish', 'vggish_category_metadata']
model_urls = {
'vggish': "https://github.com/w-hc/vggish/releases/download/v0.1/vggish_orig.pth",
'vggish_with_classifier': "https://github.com/w-hc/vggish/releases/download/v0.1... | 29.197917 | 112 | 0.576882 |
7b0d272861a3704f10e9a92801a2d879819c1a06 | 12,584 | py | Python | common/cuchemcommon/data/helper/chembldata.py | dorukozturk/cheminformatics | c0fa66dd4f4e6650d7286ae2be533c66b7a2b270 | [
"Apache-2.0"
] | null | null | null | common/cuchemcommon/data/helper/chembldata.py | dorukozturk/cheminformatics | c0fa66dd4f4e6650d7286ae2be533c66b7a2b270 | [
"Apache-2.0"
] | null | null | null | common/cuchemcommon/data/helper/chembldata.py | dorukozturk/cheminformatics | c0fa66dd4f4e6650d7286ae2be533c66b7a2b270 | [
"Apache-2.0"
] | null | null | null | import os
import warnings
import pandas
import sqlite3
import logging
from typing import List
from dask import delayed, dataframe
from contextlib import closing
from cuchemcommon.utils.singleton import Singleton
from cuchemcommon.context import Context
warnings.filterwarnings("ignore", message=r"deprecated", categor... | 39.202492 | 101 | 0.565559 |
7b0dd834a233f033a4537593bd1c545e5c4ea02a | 769 | py | Python | tests/app/users/migrations/0001_initial.py | silverlogic/djangorestframework-timed-auth-token | 0884559c6b5e4021d7a8830ec5dd60f2799d0ee4 | [
"MIT"
] | 34 | 2015-05-22T00:02:49.000Z | 2021-12-29T11:42:31.000Z | tests/app/users/migrations/0001_initial.py | silverlogic/djangorestframework-timed-auth-token | 0884559c6b5e4021d7a8830ec5dd60f2799d0ee4 | [
"MIT"
] | 6 | 2015-05-22T00:04:50.000Z | 2021-06-10T17:49:38.000Z | tests/app/users/migrations/0001_initial.py | silverlogic/djangorestframework-timed-auth-token | 0884559c6b5e4021d7a8830ec5dd60f2799d0ee4 | [
"MIT"
] | 6 | 2015-05-25T17:44:50.000Z | 2020-12-05T14:48:53.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
| 29.576923 | 114 | 0.574772 |
7b0e27fa7adc3752fa6c840a8e64f5d20d45801c | 370 | py | Python | PyObjCTest/test_nsmachport.py | Khan/pyobjc-framework-Cocoa | f8b015ea2a72d8d78be6084fb12925c4785b8f1f | [
"MIT"
] | 132 | 2015-01-01T10:02:42.000Z | 2022-03-09T12:51:01.000Z | mac/pyobjc-framework-Cocoa/PyObjCTest/test_nsmachport.py | mba811/music-player | 7998986b34cfda2244ef622adefb839331b81a81 | [
"BSD-2-Clause"
] | 6 | 2015-01-06T08:23:19.000Z | 2019-03-14T12:22:06.000Z | mac/pyobjc-framework-Cocoa/PyObjCTest/test_nsmachport.py | mba811/music-player | 7998986b34cfda2244ef622adefb839331b81a81 | [
"BSD-2-Clause"
] | 27 | 2015-02-23T11:51:43.000Z | 2022-03-07T02:34:18.000Z | from PyObjCTools.TestSupport import *
import objc
import Foundation
if hasattr(Foundation, 'NSMachPort'):
if __name__ == '__main__':
main( )
| 23.125 | 47 | 0.632432 |
7b13d630c689e01a72a9bc979b93bb26fb000d70 | 7,125 | py | Python | harmony.py | cyrushadavi/home_automation | dcf1dcc688b5021a0c16e68e372e38a28d819f3d | [
"MIT"
] | null | null | null | harmony.py | cyrushadavi/home_automation | dcf1dcc688b5021a0c16e68e372e38a28d819f3d | [
"MIT"
] | null | null | null | harmony.py | cyrushadavi/home_automation | dcf1dcc688b5021a0c16e68e372e38a28d819f3d | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
"""Command line utility for querying the Logitech Harmony."""
import argparse
import logging
import json
import sys
import auth
import client as harmony_client
LOGGER = logging.getLogger(__name__)
def login_to_logitech(args):
"""Logs in to the Logitech service.
Args:
args: ar... | 29.442149 | 107 | 0.663719 |
7b15f666dd8b6c5e2030f1efa5c2aa16458ac78c | 14,567 | py | Python | workshop/static/Reliability/300_Testing_for_Resiliency_of_EC2_RDS_and_S3/Code/Python/WebAppLambda/deploy_web_lambda.py | sykang808/aws-well-architected-labs-kor | da021a9f7501088f871b08560673deac4488eef4 | [
"Apache-2.0"
] | null | null | null | workshop/static/Reliability/300_Testing_for_Resiliency_of_EC2_RDS_and_S3/Code/Python/WebAppLambda/deploy_web_lambda.py | sykang808/aws-well-architected-labs-kor | da021a9f7501088f871b08560673deac4488eef4 | [
"Apache-2.0"
] | null | null | null | workshop/static/Reliability/300_Testing_for_Resiliency_of_EC2_RDS_and_S3/Code/Python/WebAppLambda/deploy_web_lambda.py | sykang808/aws-well-architected-labs-kor | da021a9f7501088f871b08560673deac4488eef4 | [
"Apache-2.0"
] | null | null | null | #
# MIT No Attribution
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this
# software and associated documentation files (the "Software"), to deal in the Software
# without restriction, including without limitation the rights to use, copy, modify,
# merge, publish, distribute, subli... | 39.800546 | 139 | 0.674126 |
7b16d187420b13711f7fff210fdd319f14807224 | 483 | py | Python | URI/1024.py | leilaapsilva/BabySteps | 32b1e6439fa3be49c93a3cae0b4fbd0f03a713be | [
"MIT"
] | 37 | 2020-10-01T03:50:42.000Z | 2021-11-23T00:49:51.000Z | URI/1024.py | leilaapsilva/BabySteps | 32b1e6439fa3be49c93a3cae0b4fbd0f03a713be | [
"MIT"
] | 27 | 2020-10-03T23:16:13.000Z | 2021-11-19T19:53:01.000Z | URI/1024.py | leilaapsilva/BabySteps | 32b1e6439fa3be49c93a3cae0b4fbd0f03a713be | [
"MIT"
] | 97 | 2020-10-01T11:39:01.000Z | 2021-11-01T00:30:53.000Z | alpha = "abcdefghijklmnopqrstuvwxyz"
n = int(raw_input())
for i in xrange(n):
word = raw_input()
aux_word = ""
first_part = ""
second_part = ""
for j in xrange(len(word)-1, -1, -1):
if(word[j].lower() in alpha):
aux_word += chr(ord(word[j]) + 3)
else:
aux_word += word[j]
middle = (len(word)/2)
firs... | 21 | 51 | 0.6294 |
7b17163e98fca69e6d9d2a2ecd44f5b5e78cfd5c | 6,095 | py | Python | Coursework 2/nn_preprocess.py | martinferianc/Pattern-Recognition-EIE4 | 412d437582b236dadd81c0621935f6b3bd5dbad5 | [
"MIT"
] | 1 | 2019-08-20T11:17:56.000Z | 2019-08-20T11:17:56.000Z | Coursework 2/nn_preprocess.py | martinferianc/Pattern-Recognition-EIE4 | 412d437582b236dadd81c0621935f6b3bd5dbad5 | [
"MIT"
] | null | null | null | Coursework 2/nn_preprocess.py | martinferianc/Pattern-Recognition-EIE4 | 412d437582b236dadd81c0621935f6b3bd5dbad5 | [
"MIT"
] | null | null | null | import numpy as np
# For file manipulation and locating
import os
# For the progress bar
from tqdm import tqdm
# To create a deep copy of the data
import copy
# To load the pre-processed and split data
from pre_process import load_data as ld
# For normalization of the samples
from sklearn.preprocessing import normalize... | 33.674033 | 164 | 0.642986 |
7b180f7965af3a7127ae86b77bf7384badafe436 | 776 | py | Python | src/main.py | M10han/image-scores | 509e2e9f9d3a484631a97a2e025849c266f71c43 | [
"MIT"
] | null | null | null | src/main.py | M10han/image-scores | 509e2e9f9d3a484631a97a2e025849c266f71c43 | [
"MIT"
] | 1 | 2021-06-08T21:41:19.000Z | 2021-06-08T21:41:19.000Z | src/main.py | M10han/image-scores | 509e2e9f9d3a484631a97a2e025849c266f71c43 | [
"MIT"
] | null | null | null | import pandas as pd
import time
from image_matcher import read_image, bjorn_score
if __name__ == "__main__":
main()
| 26.758621 | 58 | 0.643041 |
7b1892266415333934744e874665f21d627beb7f | 2,006 | py | Python | build/lib.linux-x86_64-2.7/biograder/Encryptor.py | PayneLab/GenericDataAPI | 9469328c4f845fbf8d97b5d80ad2077c9f927022 | [
"MIT"
] | 2 | 2021-04-25T18:36:29.000Z | 2021-05-14T15:34:59.000Z | build/lib.linux-x86_64-2.7/biograder/Encryptor.py | PayneLab/GenericDataAPI | 9469328c4f845fbf8d97b5d80ad2077c9f927022 | [
"MIT"
] | null | null | null | build/lib.linux-x86_64-2.7/biograder/Encryptor.py | PayneLab/GenericDataAPI | 9469328c4f845fbf8d97b5d80ad2077c9f927022 | [
"MIT"
] | 2 | 2020-11-23T02:09:57.000Z | 2021-08-13T21:57:03.000Z | from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.asymmetric import padding
from cryptography.hazmat.primitives import serialization
| 31.84127 | 97 | 0.602193 |
7b190c0f4573cd290b14012b9fc7b11615f31516 | 218 | py | Python | elif_bayindir/phase_1/python_basic_1/day_6/q7.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 6 | 2020-05-23T19:53:25.000Z | 2021-05-08T20:21:30.000Z | elif_bayindir/phase_1/python_basic_1/day_6/q7.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 8 | 2020-05-14T18:53:12.000Z | 2020-07-03T00:06:20.000Z | elif_bayindir/phase_1/python_basic_1/day_6/q7.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 39 | 2020-05-10T20:55:02.000Z | 2020-09-12T17:40:59.000Z | # Question 7
# Find out the number of CPUs using
import os
print("Number of CPUs using:", os.cpu_count())
# Alternative,
""" import multiprocessing
print("Number of CPUs using:", multiprocessing.cpu_count()) """
| 18.166667 | 63 | 0.711009 |
7b1bfc88d4da28ede06e1a7e0dc3ba09c6ec9cb9 | 3,081 | py | Python | openstates/openstates-master/openstates/ia/__init__.py | Jgorsick/Advocacy_Angular | 8906af3ba729b2303880f319d52bce0d6595764c | [
"CC-BY-4.0"
] | null | null | null | openstates/openstates-master/openstates/ia/__init__.py | Jgorsick/Advocacy_Angular | 8906af3ba729b2303880f319d52bce0d6595764c | [
"CC-BY-4.0"
] | null | null | null | openstates/openstates-master/openstates/ia/__init__.py | Jgorsick/Advocacy_Angular | 8906af3ba729b2303880f319d52bce0d6595764c | [
"CC-BY-4.0"
] | null | null | null | import re
import datetime
import lxml.html
import requests
from billy.utils.fulltext import text_after_line_numbers
from .bills import IABillScraper
from .legislators import IALegislatorScraper
from .events import IAEventScraper
from .votes import IAVoteScraper
# Silencing unverified HTTPS request warnings.
requests.p... | 29.066038 | 72 | 0.563778 |
7b1e18b2a4656893e78e78b318983823f4f03309 | 2,965 | py | Python | dp_excel/ExcelFile.py | DmitryPaschenko/python_excel_writer | d23acbe44e3e7e786fd8fd8deb1f47263326199f | [
"MIT"
] | null | null | null | dp_excel/ExcelFile.py | DmitryPaschenko/python_excel_writer | d23acbe44e3e7e786fd8fd8deb1f47263326199f | [
"MIT"
] | null | null | null | dp_excel/ExcelFile.py | DmitryPaschenko/python_excel_writer | d23acbe44e3e7e786fd8fd8deb1f47263326199f | [
"MIT"
] | null | null | null | from openpyxl import Workbook
from openpyxl.utils import get_column_letter
from openpyxl.writer.excel import save_virtual_workbook
| 36.158537 | 158 | 0.651602 |
7b1ea6dc53dbed446cf8e4fe80ef8e9dd14dbdfd | 435 | py | Python | test/test_flow.py | williford/vipy | d7ce90cfa3c11363ca9e9fcb1fcea9371aa1b74d | [
"MIT"
] | 13 | 2020-07-23T12:15:24.000Z | 2022-03-18T13:58:31.000Z | test/test_flow.py | williford/vipy | d7ce90cfa3c11363ca9e9fcb1fcea9371aa1b74d | [
"MIT"
] | 2 | 2020-02-26T00:58:40.000Z | 2021-04-26T12:34:41.000Z | test/test_flow.py | williford/vipy | d7ce90cfa3c11363ca9e9fcb1fcea9371aa1b74d | [
"MIT"
] | 2 | 2020-05-11T15:31:06.000Z | 2021-09-16T14:01:33.000Z | import vipy
from vipy.flow import Flow
import numpy as np
if __name__ == "__main__":
test_flow()
| 25.588235 | 87 | 0.65977 |
7b204556097cfdfd3ff88e8d7bc8bf1337b3e12c | 660 | py | Python | server/main.py | DarthBenro008/gh-release-paniker | 757845b1eebef9d2219c88706fd4277f4261391f | [
"MIT"
] | 5 | 2021-12-08T06:37:33.000Z | 2021-12-20T17:17:18.000Z | server/main.py | DarthBenro008/gh-release-paniker | 757845b1eebef9d2219c88706fd4277f4261391f | [
"MIT"
] | null | null | null | server/main.py | DarthBenro008/gh-release-paniker | 757845b1eebef9d2219c88706fd4277f4261391f | [
"MIT"
] | null | null | null | from typing import Optional
from fastapi import FastAPI
app = FastAPI()
import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
LED=21
BUZZER=23
GPIO.setup(LED,GPIO.OUT)
| 16.5 | 33 | 0.672727 |
7b20674499d7148c6a6ca240f5128fad607757fd | 8,656 | py | Python | virtual/lib/python3.10/site-packages/bootstrap_py/tests/test_package.py | alex-mu/Moringa-blog | 430ab9c1f43f2f0066369433ac3f60c41a51a01c | [
"MIT"
] | null | null | null | virtual/lib/python3.10/site-packages/bootstrap_py/tests/test_package.py | alex-mu/Moringa-blog | 430ab9c1f43f2f0066369433ac3f60c41a51a01c | [
"MIT"
] | 7 | 2021-03-30T14:10:56.000Z | 2022-03-12T00:43:13.000Z | virtual/lib/python3.6/site-packages/bootstrap_py/tests/test_package.py | sarahsindet/pitch | c7a4256e19c9a250b6d88d085699a34f508eb86b | [
"Unlicense",
"MIT"
] | 1 | 2021-08-19T06:07:23.000Z | 2021-08-19T06:07:23.000Z | # -*- coding: utf-8 -*-
"""bootstrap_py.tests.test_package."""
import unittest
import os
import shutil
import tempfile
from glob import glob
from datetime import datetime
from mock import patch
from bootstrap_py import package
from bootstrap_py.tests.stub import stub_request_metadata
# pylint: disable=too-few-public-... | 42.019417 | 79 | 0.586992 |
7b2072a69cb5c6d86996ccfc0e3130c0fc1d1caa | 383 | py | Python | news_bl/main/migrations/0005_alter_article_urltoimage.py | noddy09/news_search | 7bee6a3aeb6c8a5e9e01109635fbd53f5d808722 | [
"MIT"
] | null | null | null | news_bl/main/migrations/0005_alter_article_urltoimage.py | noddy09/news_search | 7bee6a3aeb6c8a5e9e01109635fbd53f5d808722 | [
"MIT"
] | null | null | null | news_bl/main/migrations/0005_alter_article_urltoimage.py | noddy09/news_search | 7bee6a3aeb6c8a5e9e01109635fbd53f5d808722 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.6 on 2021-08-30 13:48
from django.db import migrations, models
| 20.157895 | 47 | 0.5953 |
7b20cd11ee3f48070fe24a5a912f30b91ada5d46 | 1,175 | py | Python | utils/migrate_cmds_idx_32bit.py | jzuhone/kadi | de4885327d256e156cfe42b2b1700775f5b4d6cf | [
"BSD-3-Clause"
] | 1 | 2015-07-30T18:33:14.000Z | 2015-07-30T18:33:14.000Z | utils/migrate_cmds_idx_32bit.py | jzuhone/kadi | de4885327d256e156cfe42b2b1700775f5b4d6cf | [
"BSD-3-Clause"
] | 104 | 2015-01-20T18:44:36.000Z | 2022-03-29T18:51:55.000Z | utils/migrate_cmds_idx_32bit.py | jzuhone/kadi | de4885327d256e156cfe42b2b1700775f5b4d6cf | [
"BSD-3-Clause"
] | 2 | 2018-08-23T02:36:08.000Z | 2020-03-13T19:24:36.000Z | from pathlib import Path
import numpy as np
import tables
# Use snapshot from aug08 before the last update that broke things.
with tables.open_file('cmds_aug08.h5') as h5:
cmds = h5.root.data[:]
print(cmds.dtype)
# [('idx', '<u2'), ('date', 'S21'), ('type', 'S12'), ('tlmsid', 'S10'),
# ('scs', 'u1'), ('step', '<... | 31.756757 | 85 | 0.613617 |
7b21a08900385c33387348bb5cf7b32f2eca5c0f | 579 | py | Python | 1_estrutura_sequencial/18_velocidade_download.py | cecilmalone/lista_de_exercicios_pybr | 6d7c4aeddf8d1b1d839ad05ef5b5813a8fe611b5 | [
"MIT"
] | null | null | null | 1_estrutura_sequencial/18_velocidade_download.py | cecilmalone/lista_de_exercicios_pybr | 6d7c4aeddf8d1b1d839ad05ef5b5813a8fe611b5 | [
"MIT"
] | null | null | null | 1_estrutura_sequencial/18_velocidade_download.py | cecilmalone/lista_de_exercicios_pybr | 6d7c4aeddf8d1b1d839ad05ef5b5813a8fe611b5 | [
"MIT"
] | null | null | null | """
18. Faa um programa que pea o tamanho de um arquivo para download (em MB) e
a velocidade de um link de Internet (em Mbps), calcule e informe o tempo
aproximado de download do arquivo usando este link (em minutos).
"""
mb_arquivo = float(input('Informe o tamanho de um arquivo para download (em MB): '))
mbps_link ... | 38.6 | 91 | 0.753022 |
7b2304794deb520b2f5f87d0e37dcca35db22896 | 4,802 | py | Python | src/rte_pac/train_pyramid.py | UKPLab/conll2019-snopes-experiments | 102f4a05cfba781036bd3a7b06022246e53765ad | [
"Apache-2.0"
] | 5 | 2019-11-08T09:17:07.000Z | 2022-01-25T19:37:06.000Z | src/rte_pac/train_pyramid.py | UKPLab/conll2019-snopes-experiments | 102f4a05cfba781036bd3a7b06022246e53765ad | [
"Apache-2.0"
] | 18 | 2020-01-28T22:17:34.000Z | 2022-03-11T23:57:22.000Z | src/rte_pac/train_pyramid.py | UKPLab/conll2019-snopes-experiments | 102f4a05cfba781036bd3a7b06022246e53765ad | [
"Apache-2.0"
] | 1 | 2021-03-08T12:02:24.000Z | 2021-03-08T12:02:24.000Z | import argparse
import pickle
import os
import json
from sklearn.metrics import confusion_matrix
from utils.data_reader import embed_data_sets_with_glove, embed_data_set_given_vocab, prediction_2_label
from utils.text_processing import vocab_map
from common.util.log_helper import LogHelper
from deep_models.MatchPyramid... | 52.195652 | 139 | 0.641399 |
7b2354c08ba6d3f70427aa659e1ba9d3a3e03c13 | 854 | py | Python | annotation/helpers/helpers/extract_noise.py | jim-schwoebel/allie | d85db041b91c81dfb3fd1a4d719b5aaaf3b6697e | [
"Apache-2.0"
] | 87 | 2020-08-07T09:05:11.000Z | 2022-01-24T00:48:22.000Z | annotation/helpers/helpers/extract_noise.py | jim-schwoebel/allie | d85db041b91c81dfb3fd1a4d719b5aaaf3b6697e | [
"Apache-2.0"
] | 87 | 2020-08-07T19:12:10.000Z | 2022-02-08T14:46:34.000Z | annotation/helpers/helpers/extract_noise.py | jim-schwoebel/allie | d85db041b91c81dfb3fd1a4d719b5aaaf3b6697e | [
"Apache-2.0"
] | 25 | 2020-08-07T20:03:08.000Z | 2022-03-16T07:33:25.000Z | import shutil, os, random
from pydub import AudioSegment
try:
os.mkdir('noise')
except:
shutil.rmtree('noise')
os.mkdir('noise')
listdir=os.listdir()
mp3files=list()
for i in range(len(listdir)):
if listdir[i][-4:]=='.mp3':
mp3files.append(listdir[i])
random.shuffle(mp3files)
for i in range(len(mp3files)):
extra... | 27.548387 | 108 | 0.688525 |
7b248b5ee36bb65d830c7b56e66b0b390aa45baa | 1,030 | py | Python | ARMODServers/Apps/Apiv2/urls.py | Phantomxm2021/ARMOD-Dashboard | 383cf0a5e72dc5a2651f43e693f06773d5b88bbd | [
"Apache-2.0"
] | 1 | 2021-11-04T09:03:27.000Z | 2021-11-04T09:03:27.000Z | ARMODServers/Apps/Apiv2/urls.py | Phantomxm2021/ARMOD-Dashboard | 383cf0a5e72dc5a2651f43e693f06773d5b88bbd | [
"Apache-2.0"
] | null | null | null | ARMODServers/Apps/Apiv2/urls.py | Phantomxm2021/ARMOD-Dashboard | 383cf0a5e72dc5a2651f43e693f06773d5b88bbd | [
"Apache-2.0"
] | null | null | null | from django.conf.urls import url
from Apps.Apiv2.views import GetARResourcesView, GetARExperienceDetailView
from Apps.Apiv2.views import GetTagListView,GetARExperienceRecommendList,GetARExperiencePublicListView,GetARExperiencesView
from Apps.Apiv2.views import GetARexperienceByTagsListView
app_name = 'Apps.Users'
urlp... | 60.588235 | 123 | 0.794175 |
7b24aa6646e92566319ce68092ddf4db0af43da1 | 2,600 | py | Python | make.py | loicseguin/astronomie | b489d615adb136991ff3fc82ca06c4f6791ca8c6 | [
"BSD-2-Clause"
] | null | null | null | make.py | loicseguin/astronomie | b489d615adb136991ff3fc82ca06c4f6791ca8c6 | [
"BSD-2-Clause"
] | 7 | 2020-01-19T21:27:07.000Z | 2020-01-19T21:28:09.000Z | make.py | loicseguin/astronomie | b489d615adb136991ff3fc82ca06c4f6791ca8c6 | [
"BSD-2-Clause"
] | null | null | null | """Construit le site Explorer et comprendre l'Univers, incluant les diapositives
et le livre. Le logiciel Pandoc est utilis pour obtenir des prsentations
dans diffrents formats.
On peut construire tous les fichiers html avec la commande
$ python make.py
"""
import subprocess
import os
import sys
# Dossiers de... | 30.232558 | 82 | 0.576154 |
7b25b9ec772098b6a401939f74bc6b08ca37a58b | 280 | py | Python | geosnap/tests/get_data.py | WawNun/geosnap | 9838498b89d42c94fef73ee2983dd385dab17345 | [
"BSD-3-Clause"
] | 148 | 2019-04-19T00:16:59.000Z | 2022-03-24T06:35:47.000Z | geosnap/tests/get_data.py | WawNun/geosnap | 9838498b89d42c94fef73ee2983dd385dab17345 | [
"BSD-3-Clause"
] | 178 | 2019-04-15T21:54:36.000Z | 2022-03-31T03:08:29.000Z | geosnap/tests/get_data.py | WawNun/geosnap | 9838498b89d42c94fef73ee2983dd385dab17345 | [
"BSD-3-Clause"
] | 25 | 2019-04-19T21:27:56.000Z | 2022-03-28T21:03:31.000Z | import os
from pathlib import PurePath
try:
from geosnap import io
except:
pass
path = os.getcwd()
try:
io.store_ltdb(sample=PurePath(path, 'ltdb_sample.zip'), fullcount=PurePath(path, 'ltdb_full.zip'))
io.store_ncdb(PurePath(path, "ncdb.csv"))
except:
pass | 18.666667 | 102 | 0.707143 |
7b26132c0d8b78762b805dd6438fa5d2c8d060b1 | 13,370 | py | Python | plotting/utils.py | plai-group/amortized-rejection-sampling | 1e85253ae1e6ef1c939e1c488e55f9d95ee48355 | [
"MIT"
] | null | null | null | plotting/utils.py | plai-group/amortized-rejection-sampling | 1e85253ae1e6ef1c939e1c488e55f9d95ee48355 | [
"MIT"
] | null | null | null | plotting/utils.py | plai-group/amortized-rejection-sampling | 1e85253ae1e6ef1c939e1c488e55f9d95ee48355 | [
"MIT"
] | null | null | null | import numpy as np
import torch
from tqdm import tqdm
import matplotlib as mpl
# https://gist.github.com/thriveth/8560036
color_cycle = ['#377eb8', '#ff7f00', '#4daf4a',
'#f781bf', '#a65628', '#984ea3',
'#999999', '#e41a1c', '#dede00']
labels_dict = {"ic": "IC",
"prior": ... | 35.558511 | 128 | 0.618624 |
7b28352f856a9eaa1fa2b24d293fcd81d28eb11c | 4,750 | py | Python | dfa/visualize.py | garyzhao/FRGAN | 8aeb064fc93b45d3d8e074c5253b4f7a287582f4 | [
"Apache-2.0"
] | 39 | 2018-07-28T04:37:48.000Z | 2022-01-20T18:34:37.000Z | dfa/visualize.py | garyzhao/FRGAN | 8aeb064fc93b45d3d8e074c5253b4f7a287582f4 | [
"Apache-2.0"
] | 2 | 2018-08-27T08:19:22.000Z | 2019-08-16T09:15:34.000Z | dfa/visualize.py | garyzhao/FRGAN | 8aeb064fc93b45d3d8e074c5253b4f7a287582f4 | [
"Apache-2.0"
] | 8 | 2018-07-31T09:33:49.000Z | 2020-12-06T10:16:53.000Z | from __future__ import division
from __future__ import print_function
import numpy as np
import cv2
import matplotlib.pyplot as plt
from .face import compute_bbox_size
end_list = np.array([17, 22, 27, 42, 48, 31, 36, 68], dtype=np.int32) - 1
def plot_kpt(image, kpt):
''' Draw 68 key points
Args:
ima... | 35.714286 | 129 | 0.573895 |
7b2c39567282edd435ce6c7b2d8bdb6da59671bf | 439 | py | Python | bin/curvature.py | AgeYY/prednet | 90668d98b88e29bbaa68a7709e4fcb3664c110e8 | [
"MIT"
] | null | null | null | bin/curvature.py | AgeYY/prednet | 90668d98b88e29bbaa68a7709e4fcb3664c110e8 | [
"MIT"
] | null | null | null | bin/curvature.py | AgeYY/prednet | 90668d98b88e29bbaa68a7709e4fcb3664c110e8 | [
"MIT"
] | null | null | null | # calculate the curverture
import numpy as np
import matplotlib.pyplot as plt
from predusion.tools import curvature
radius = 2
n_point = 10
circle_curve = [[radius * np.sin(t), radius * np.cos(t)] for t in np.linspace(0, 2 * np.pi, n_point, endpoint=False)]
circle_curve = np.array(circle_curve)
#plt.figure()
#plt... | 20.904762 | 117 | 0.724374 |
7b2c3dcb95bb9538fdb4cb9f25daeb1cf42bc3eb | 875 | py | Python | cocos/tests/test_numerics/test_statistics/test_mean.py | michaelnowotny/cocos | 3c34940d7d9eb8592a97788a5df84b8d472f2928 | [
"MIT"
] | 101 | 2019-03-30T05:23:01.000Z | 2021-11-27T09:09:40.000Z | cocos/tests/test_numerics/test_statistics/test_mean.py | michaelnowotny/cocos | 3c34940d7d9eb8592a97788a5df84b8d472f2928 | [
"MIT"
] | 3 | 2019-04-17T06:04:12.000Z | 2020-12-14T17:36:01.000Z | cocos/tests/test_numerics/test_statistics/test_mean.py | michaelnowotny/cocos | 3c34940d7d9eb8592a97788a5df84b8d472f2928 | [
"MIT"
] | 5 | 2020-02-07T14:29:50.000Z | 2020-12-09T17:54:07.000Z | import cocos.device
import cocos.numerics as cn
import numpy as np
import pytest
test_data = [np.array([[1, 2, 3], [4, 5, 6], [7, 8, 20]],
dtype=np.int32),
np.array([[0.2, 1.0, 0.5], [0.4, 0.5, 0.6], [0.7, 0.2, 0.25]],
dtype=np.float32),
np.array([... | 26.515152 | 80 | 0.537143 |
7b2f67783a54c7281fccbf52bb33f6fc8f65fc62 | 482 | py | Python | tests/individual_samples/long_doc.py | MiWeiss/docstr_coverage | 502ab0174ea261383f497af2476317d4cc199665 | [
"MIT"
] | 50 | 2019-01-25T16:53:39.000Z | 2022-03-17T22:02:06.000Z | tests/individual_samples/long_doc.py | HunterMcGushion/docstr_coverage | 502ab0174ea261383f497af2476317d4cc199665 | [
"MIT"
] | 66 | 2019-01-25T11:45:43.000Z | 2022-03-30T11:55:47.000Z | tests/individual_samples/long_doc.py | MiWeiss/docstr_coverage | 502ab0174ea261383f497af2476317d4cc199665 | [
"MIT"
] | 23 | 2019-01-28T08:37:42.000Z | 2021-06-16T12:35:27.000Z | """
this is a very long docstring
this is a very long docstring
this is a very long docstring
this is a very long docstring
this is a very long docstring
this is a very long docstring
this is a very long docstring
this is a very long docstring
this is a very long docstring
"""
| 20.083333 | 65 | 0.707469 |
7b2fdc657bc9709a4e827c864106583a0abe59bc | 461 | py | Python | Lib/site-packages/elasticsearch_django/signals.py | Nibraz15/FullTextSearch | 79d03a9b5c0fc94219ad9a70fe57818496844660 | [
"bzip2-1.0.6"
] | null | null | null | Lib/site-packages/elasticsearch_django/signals.py | Nibraz15/FullTextSearch | 79d03a9b5c0fc94219ad9a70fe57818496844660 | [
"bzip2-1.0.6"
] | null | null | null | Lib/site-packages/elasticsearch_django/signals.py | Nibraz15/FullTextSearch | 79d03a9b5c0fc94219ad9a70fe57818496844660 | [
"bzip2-1.0.6"
] | null | null | null | import django.dispatch
# signal fired just before calling model.index_search_document
pre_index = django.dispatch.Signal(providing_args=["instance", "index"])
# signal fired just before calling model.update_search_document
pre_update = django.dispatch.Signal(
providing_args=["instance", "index", "update_fields"]
... | 35.461538 | 73 | 0.796095 |
7b30e1e10fc484e48de9eae99bc4b49a95428432 | 528 | py | Python | adverse/signals.py | michael-xander/communique-webapp | 85b450d7f6d0313c5e5ef53a262a850b7e93c3d6 | [
"MIT"
] | null | null | null | adverse/signals.py | michael-xander/communique-webapp | 85b450d7f6d0313c5e5ef53a262a850b7e93c3d6 | [
"MIT"
] | null | null | null | adverse/signals.py | michael-xander/communique-webapp | 85b450d7f6d0313c5e5ef53a262a850b7e93c3d6 | [
"MIT"
] | null | null | null | from django.db.models.signals import post_save
from django.dispatch import receiver
from communique.utils.utils_signals import generate_notifications
from user.models import NotificationRegistration
from .models import AdverseEvent
| 37.714286 | 103 | 0.829545 |
7b32ae7712bef36c9a2b8c71ee2035133eed9f7e | 1,117 | py | Python | hoomd/test-py/test_run_callback.py | PetersResearchGroup/PCND | 584768cc683a6df0152ead69b567d05b781aab2b | [
"BSD-3-Clause"
] | 2 | 2020-03-30T14:38:50.000Z | 2020-06-02T05:53:41.000Z | hoomd/test-py/test_run_callback.py | PetersResearchGroup/PCND | 584768cc683a6df0152ead69b567d05b781aab2b | [
"BSD-3-Clause"
] | null | null | null | hoomd/test-py/test_run_callback.py | PetersResearchGroup/PCND | 584768cc683a6df0152ead69b567d05b781aab2b | [
"BSD-3-Clause"
] | 1 | 2020-05-20T07:00:08.000Z | 2020-05-20T07:00:08.000Z | # -*- coding: iso-8859-1 -*-
# Maintainer: joaander
import hoomd
hoomd.context.initialize()
import unittest
if __name__ == '__main__':
unittest.main(argv = ['test.py', '-v'])
| 23.270833 | 76 | 0.521038 |
7b332b95f4298d84e9d671c6d88abc96e79fcae6 | 7,145 | py | Python | cheshire3/parser.py | cheshire3/cheshire3 | 306348831ec110229c78a7c5f0f2026a0f394d2c | [
"Python-2.0",
"Unlicense"
] | 3 | 2015-08-02T09:03:28.000Z | 2017-12-06T09:26:14.000Z | cheshire3/parser.py | cheshire3/cheshire3 | 306348831ec110229c78a7c5f0f2026a0f394d2c | [
"Python-2.0",
"Unlicense"
] | 5 | 2015-08-17T01:16:35.000Z | 2015-09-16T21:51:27.000Z | cheshire3/parser.py | cheshire3/cheshire3 | 306348831ec110229c78a7c5f0f2026a0f394d2c | [
"Python-2.0",
"Unlicense"
] | 6 | 2015-05-17T15:32:20.000Z | 2020-04-22T08:43:16.000Z |
import cStringIO
import StringIO
from xml.sax import make_parser, ErrorHandler, SAXParseException
from xml.sax import InputSource as SaxInput
from xml.dom.minidom import parseString as domParseString
from xml.parsers.expat import ExpatError
from lxml import etree
from cheshire3.baseObjects import Parser
from cheshir... | 31.065217 | 77 | 0.588383 |
9e26ff289e7c1f363b136e3f4b93da4585664e71 | 6,275 | py | Python | scripts/checkpT_curv.py | masamuch/hepqpr-qallse | 0b39f8531c6f3c758b94c31f4633f75dcfeb67ad | [
"Apache-2.0"
] | null | null | null | scripts/checkpT_curv.py | masamuch/hepqpr-qallse | 0b39f8531c6f3c758b94c31f4633f75dcfeb67ad | [
"Apache-2.0"
] | null | null | null | scripts/checkpT_curv.py | masamuch/hepqpr-qallse | 0b39f8531c6f3c758b94c31f4633f75dcfeb67ad | [
"Apache-2.0"
] | null | null | null | from hepqpr.qallse import *
from hepqpr.qallse.plotting import *
from hepqpr.qallse.cli.func import time_this
import time
import pickle
# import the method
from hepqpr.qallse.dsmaker import create_dataset
modelName = "D0"
#modelName = "Mp"
#modelName = "Doublet"
maxTry=1
# 5e-3 : 167 MeV
# 8e-4 : 1.04 GeV
varDen... | 35.055866 | 140 | 0.577211 |
9e27be8d3067835dcbda95c1548885176ae1ebf3 | 440 | py | Python | ifconfigparser/__init__.py | KnightWhoSayNi/ifconfig-parser | 4921ac9d6be6244b062d082c164f5a5e69522478 | [
"MIT"
] | 17 | 2018-10-06T15:19:27.000Z | 2022-02-25T05:05:22.000Z | ifconfigparser/__init__.py | KnightWhoSayNi/ifconfig-parser | 4921ac9d6be6244b062d082c164f5a5e69522478 | [
"MIT"
] | 3 | 2019-11-22T23:40:58.000Z | 2019-12-06T02:26:59.000Z | ifconfigparser/__init__.py | KnightWhoSayNi/ifconfig-parser | 4921ac9d6be6244b062d082c164f5a5e69522478 | [
"MIT"
] | 2 | 2019-05-10T15:36:46.000Z | 2020-11-18T11:56:33.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
# ======================================================
#
# File name: __init__.py
# Author: threeheadedknight@protonmail.com
# Date created: 30.06.2018 17:00
# Python Version: 3.7
#
# ======================================================
from .ifconfig_parser im... | 25.882353 | 56 | 0.522727 |
9e287d153cff7385984c9cc16aca63539ed882d4 | 3,382 | py | Python | api/views/movies.py | iamvukasin/filminds | 54c9d7175f3a06f411cc750a694758bd683af1ee | [
"MIT"
] | 2 | 2019-06-15T01:40:04.000Z | 2019-12-19T05:11:17.000Z | api/views/movies.py | iamvukasin/filminds | 54c9d7175f3a06f411cc750a694758bd683af1ee | [
"MIT"
] | 1 | 2021-03-09T05:22:51.000Z | 2021-03-09T05:22:51.000Z | api/views/movies.py | iamvukasin/filminds | 54c9d7175f3a06f411cc750a694758bd683af1ee | [
"MIT"
] | 2 | 2019-06-24T19:24:25.000Z | 2020-05-29T13:57:35.000Z | from abc import ABC, abstractmethod
import tmdbsimple as tmdb
from django.contrib.auth.decorators import login_required
from django.http import Http404
from django.utils.decorators import method_decorator
from rest_framework.response import Response
from rest_framework.views import APIView
from api.serializers import... | 27.274194 | 119 | 0.646363 |
9e29911c2cf893692ea46e7dbded4b692a9e33a0 | 3,853 | py | Python | apps/lk/views.py | DaniilGorokhov/CaloryHelper | 6bf5ddce85479508b6498c3e4b2e0f4e5dd01b51 | [
"MIT"
] | null | null | null | apps/lk/views.py | DaniilGorokhov/CaloryHelper | 6bf5ddce85479508b6498c3e4b2e0f4e5dd01b51 | [
"MIT"
] | null | null | null | apps/lk/views.py | DaniilGorokhov/CaloryHelper | 6bf5ddce85479508b6498c3e4b2e0f4e5dd01b51 | [
"MIT"
] | 1 | 2021-02-15T17:40:23.000Z | 2021-02-15T17:40:23.000Z | from django.shortcuts import render
from django.http import Http404, HttpResponseRedirect
from django.urls import reverse
from apps.index.models import User, UserHistory
from sova_avia.settings import MEDIA_ROOT
from imageai.Prediction import ImagePrediction
import json
from .models import Article
from .forms import ... | 35.675926 | 125 | 0.659227 |
9e2d53249be23d06d560e65260043ec473bab942 | 1,159 | py | Python | setup.py | CZ-NIC/deckard | 35ed3c59b27c52fc2e3a187679251353f5efe6c0 | [
"BSD-2-Clause"
] | 30 | 2016-08-06T20:56:17.000Z | 2021-12-13T07:56:23.000Z | setup.py | CZ-NIC/deckard | 35ed3c59b27c52fc2e3a187679251353f5efe6c0 | [
"BSD-2-Clause"
] | 6 | 2016-05-31T10:48:51.000Z | 2018-07-03T09:05:12.000Z | setup.py | CZ-NIC/deckard | 35ed3c59b27c52fc2e3a187679251353f5efe6c0 | [
"BSD-2-Clause"
] | 10 | 2016-04-03T13:55:19.000Z | 2020-11-28T01:23:49.000Z | #!/usr/bin/env python3
from distutils.core import setup
version = '3.0'
setup(
name='deckard',
version=version,
description='DNS toolkit',
long_description=(
"Deckard is a DNS software testing based on library pydnstest."
"It supports parsing and running Unbound-like test scenarios,"
... | 31.324324 | 71 | 0.609146 |
9e2f62d9ca279a2304c666233677d5d0d663e572 | 1,894 | py | Python | tests/testing_utils.py | alguerre/TrackEditorWeb | e92cb8554e804af8620298ca75567e6ce653b15e | [
"MIT"
] | 1 | 2021-09-06T14:56:27.000Z | 2021-09-06T14:56:27.000Z | tests/testing_utils.py | qjx666/TrackEditorWeb | e92cb8554e804af8620298ca75567e6ce653b15e | [
"MIT"
] | 79 | 2021-07-06T13:37:09.000Z | 2021-10-21T11:09:10.000Z | tests/testing_utils.py | qjx666/TrackEditorWeb | e92cb8554e804af8620298ca75567e6ce653b15e | [
"MIT"
] | 1 | 2022-01-30T05:44:25.000Z | 2022-01-30T05:44:25.000Z | import os
from urllib.parse import urljoin
from selenium import webdriver
from TrackApp.models import User, Track
from libs import track
| 30.548387 | 71 | 0.661563 |
9e30175d2516252b61b551241d3a7d897279d318 | 1,563 | py | Python | SimulEval/simuleval/agents/agent.py | ashkanalinejad/Supervised-Simultaneous-MT | d09397ed86bbf4133d5d9b906030a8881ee4c13f | [
"MIT"
] | 2 | 2022-01-11T19:27:11.000Z | 2022-01-12T11:06:53.000Z | SimulEval/simuleval/agents/agent.py | sfu-natlang/Supervised-Simultaneous-MT | 12c3a53887c985ae24199ecef2f7b2335fe214c6 | [
"MIT"
] | 1 | 2022-02-12T03:02:52.000Z | 2022-02-12T04:27:10.000Z | SimulEval/simuleval/agents/agent.py | sfu-natlang/Supervised-Simultaneous-MT | 12c3a53887c985ae24199ecef2f7b2335fe214c6 | [
"MIT"
] | 1 | 2022-02-27T14:22:36.000Z | 2022-02-27T14:22:36.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from simuleval.states import TextStates, SpeechStates
| 26.948276 | 76 | 0.662828 |
9e301c912b42abb46c781523b9340a9c6ccd01d4 | 13,317 | py | Python | source/mre-plugin-samples/Plugins/DetectShotsByRekognitionVideo/DetectShotsByRekognitionVideo.py | aws-samples/aws-media-replay-engine-samples | d9b479f3c7da87c8b6d2a265334a6d3aae58d885 | [
"MIT-0"
] | 4 | 2022-02-03T17:23:19.000Z | 2022-03-16T13:13:09.000Z | source/mre-plugin-samples/Plugins/DetectShotsByRekognitionVideo/DetectShotsByRekognitionVideo.py | aws-samples/aws-media-replay-engine-samples | d9b479f3c7da87c8b6d2a265334a6d3aae58d885 | [
"MIT-0"
] | 1 | 2022-02-22T01:25:57.000Z | 2022-03-10T21:27:31.000Z | source/mre-plugin-samples/Plugins/DetectShotsByRekognitionVideo/DetectShotsByRekognitionVideo.py | aws-samples/aws-media-replay-engine-samples | d9b479f3c7da87c8b6d2a265334a6d3aae58d885 | [
"MIT-0"
] | 1 | 2022-02-16T02:23:43.000Z | 2022-02-16T02:23:43.000Z | # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: MIT-0
import boto3
import json
import sys
import time
import ffmpeg
from MediaReplayEnginePluginHelper import OutputHelper
from MediaReplayEnginePluginHelper import Status
from MediaReplayEnginePluginHelper import DataPlane... | 39.283186 | 139 | 0.535181 |
9e316afea9883b374b2578dfd94ecad511320c5f | 1,567 | py | Python | chempy/kinetics/tests/test_integrated.py | matecsaj/chempy | 2c93f185e4547739331193c06d77282206621517 | [
"BSD-2-Clause"
] | null | null | null | chempy/kinetics/tests/test_integrated.py | matecsaj/chempy | 2c93f185e4547739331193c06d77282206621517 | [
"BSD-2-Clause"
] | null | null | null | chempy/kinetics/tests/test_integrated.py | matecsaj/chempy | 2c93f185e4547739331193c06d77282206621517 | [
"BSD-2-Clause"
] | null | null | null | from __future__ import division
from chempy.util.testing import requires
from ..integrated import pseudo_irrev, pseudo_rev, binary_irrev, binary_rev
import pytest
try:
import sympy
except ImportError:
sympy = None
else:
one = sympy.S(1)
t, kf, kb, prod, major, minor = sympy.symbols(
't kf kb... | 27.017241 | 81 | 0.640715 |
9e3410f7e06e468d0eb7d1e58add77993b4f9819 | 1,362 | py | Python | emulateHttp2/processTestByBrowser.py | mixianghang/newhttp2 | 0843301ad79d11bc43f5d70dbcf934aaf072f6a3 | [
"MIT"
] | null | null | null | emulateHttp2/processTestByBrowser.py | mixianghang/newhttp2 | 0843301ad79d11bc43f5d70dbcf934aaf072f6a3 | [
"MIT"
] | null | null | null | emulateHttp2/processTestByBrowser.py | mixianghang/newhttp2 | 0843301ad79d11bc43f5d70dbcf934aaf072f6a3 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import sys
import os
import shutil
if __name__ == "__main__":
main()
| 32.428571 | 123 | 0.660793 |
9e36180ad2d9abb3875f4262a27e459d07a15a75 | 1,097 | py | Python | setup.py | osism/netbox-plugin-osism | 8cba95bd6bed167c5a05d464d95246c9d4c98a6a | [
"Apache-2.0"
] | null | null | null | setup.py | osism/netbox-plugin-osism | 8cba95bd6bed167c5a05d464d95246c9d4c98a6a | [
"Apache-2.0"
] | null | null | null | setup.py | osism/netbox-plugin-osism | 8cba95bd6bed167c5a05d464d95246c9d4c98a6a | [
"Apache-2.0"
] | null | null | null | from setuptools import setup
setup(
name='netbox_plugin_osism',
version='0.0.1',
description='NetBox Plugin OSISM',
long_description='Netbox Plugin OSISM',
url='https://github.com/osism/netbox-plugin-osism',
download_url='https://github.com/osism/netbox-plugin-osism',
author='OSISM GmbH',
... | 31.342857 | 64 | 0.631723 |
9e36f2c784f6f44bd775bdedd2272a8be3601516 | 525 | py | Python | src/response.py | vcokltfre/snowflake.vcokltf.re | 5b8324a4fbc2e512dbc263d4ed65edb89d72a549 | [
"MIT"
] | 1 | 2021-03-23T15:13:04.000Z | 2021-03-23T15:13:04.000Z | src/response.py | vcokltfre/snowflake.vcokltf.re | 5b8324a4fbc2e512dbc263d4ed65edb89d72a549 | [
"MIT"
] | null | null | null | src/response.py | vcokltfre/snowflake.vcokltf.re | 5b8324a4fbc2e512dbc263d4ed65edb89d72a549 | [
"MIT"
] | null | null | null | from starlette.responses import HTMLResponse
| 23.863636 | 82 | 0.485714 |
9e377bb8273400c9545a16768897adf2638f5e45 | 63 | py | Python | rx/__init__.py | yutiansut/RxPY | c3bbba77f9ebd7706c949141725e220096deabd4 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2018-11-16T09:07:13.000Z | 2018-11-16T09:07:13.000Z | rx/__init__.py | yutiansut/RxPY | c3bbba77f9ebd7706c949141725e220096deabd4 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | rx/__init__.py | yutiansut/RxPY | c3bbba77f9ebd7706c949141725e220096deabd4 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-05-08T08:23:08.000Z | 2020-05-08T08:23:08.000Z | from .core import Observer, Observable, AnonymousObserver as _
| 31.5 | 62 | 0.825397 |
9e379e1fd1991982e0f968b5ef6aafe42d277ba1 | 47 | py | Python | news_api/settings/Vespa_config.py | rdoume/News_API | 9c555fdc5e5b717b98bcfec27364b9612b9c4aa1 | [
"MIT"
] | 9 | 2019-07-19T13:19:55.000Z | 2021-07-08T16:25:30.000Z | news_api/settings/Vespa_config.py | rdoume/News_API | 9c555fdc5e5b717b98bcfec27364b9612b9c4aa1 | [
"MIT"
] | null | null | null | news_api/settings/Vespa_config.py | rdoume/News_API | 9c555fdc5e5b717b98bcfec27364b9612b9c4aa1 | [
"MIT"
] | 1 | 2021-05-12T01:50:04.000Z | 2021-05-12T01:50:04.000Z | VESPA_IP = "172.16.100.65"
VESPA_PORT = "8080"
| 15.666667 | 26 | 0.680851 |
9e39c8fbaaf037c97de86567d3d6ad2bfa09867d | 642 | py | Python | test/walk.py | manxueitp/cozmo-test | a91b1a4020544cb622bd67385f317931c095d2e8 | [
"MIT"
] | null | null | null | test/walk.py | manxueitp/cozmo-test | a91b1a4020544cb622bd67385f317931c095d2e8 | [
"MIT"
] | null | null | null | test/walk.py | manxueitp/cozmo-test | a91b1a4020544cb622bd67385f317931c095d2e8 | [
"MIT"
] | null | null | null | import cozmo
from cozmo.util import distance_mm, speed_mmps,degrees
cozmo.run_program(cozmo_program)
| 45.857143 | 79 | 0.800623 |
9e3a0239409f0db941b17e1b31a07a8a3ed673cb | 694 | py | Python | lectures/extensions/hyperbolic_discounting/replication_code/.mywaflib/waflib/Tools/clang.py | loikein/ekw-lectures | a2f5436f10515ab26eab323fca8c37c91bdc5dcd | [
"MIT"
] | 4 | 2019-11-15T15:21:27.000Z | 2020-07-08T15:04:30.000Z | lectures/extensions/hyperbolic_discounting/replication_code/.mywaflib/waflib/Tools/clang.py | loikein/ekw-lectures | a2f5436f10515ab26eab323fca8c37c91bdc5dcd | [
"MIT"
] | 9 | 2019-11-18T15:54:36.000Z | 2020-07-14T13:56:53.000Z | lectures/extensions/hyperbolic_discounting/replication_code/.mywaflib/waflib/Tools/clang.py | loikein/ekw-lectures | a2f5436f10515ab26eab323fca8c37c91bdc5dcd | [
"MIT"
] | 3 | 2021-01-25T15:41:30.000Z | 2021-09-21T08:51:36.000Z | #!/usr/bin/env python
# Krzysztof Kosiski 2014
"""
Detect the Clang C compiler
"""
from waflib.Configure import conf
from waflib.Tools import ar
from waflib.Tools import ccroot
from waflib.Tools import gcc
| 22.387097 | 72 | 0.693084 |
9e3b5a48a7befde960b0ddd0c42b6f209d9a2b77 | 457 | py | Python | test_lambda_function.py | gavinbull/loyalty_anagram | a91d23083d8c040916733751932fb47d00592890 | [
"MIT"
] | null | null | null | test_lambda_function.py | gavinbull/loyalty_anagram | a91d23083d8c040916733751932fb47d00592890 | [
"MIT"
] | null | null | null | test_lambda_function.py | gavinbull/loyalty_anagram | a91d23083d8c040916733751932fb47d00592890 | [
"MIT"
] | null | null | null | import unittest
from lambda_function import gather_anagrams
if __name__ == '__main__':
unittest.main()
| 28.5625 | 86 | 0.654267 |
9e3d9a4ab5c166e9fe2b7e4de49e51e3488a6de5 | 577 | py | Python | euler62.py | dchourasia/euler-solutions | e20cbf016a9ea601fcce928d9690930c9a498837 | [
"Apache-2.0"
] | null | null | null | euler62.py | dchourasia/euler-solutions | e20cbf016a9ea601fcce928d9690930c9a498837 | [
"Apache-2.0"
] | null | null | null | euler62.py | dchourasia/euler-solutions | e20cbf016a9ea601fcce928d9690930c9a498837 | [
"Apache-2.0"
] | null | null | null | '''
Find the smallest cube for which exactly five permutations of its digits are cube.
'''
import math, itertools
print(math.pow(8, 1/3).is_integer())
tried = {}
for i in range(1000, 1200):
cb = int(math.pow(i, 3))
#print(cb)
#print(math.pow(int(cb), 1/3))
roots = 1
tried[i] = [str(cb)]
for x in itertools.permuta... | 21.37037 | 82 | 0.587522 |
9e3eca14631d828c95eda787a3d066e5994ecfdb | 3,010 | py | Python | examples/reeds_problem.py | bwhewe-13/ants | 6923cfc1603e0cd90c2ae90fa0fed6dd86edc0b2 | [
"MIT"
] | null | null | null | examples/reeds_problem.py | bwhewe-13/ants | 6923cfc1603e0cd90c2ae90fa0fed6dd86edc0b2 | [
"MIT"
] | null | null | null | examples/reeds_problem.py | bwhewe-13/ants | 6923cfc1603e0cd90c2ae90fa0fed6dd86edc0b2 | [
"MIT"
] | null | null | null | from ants.medium import MediumX
from ants.materials import Materials
from ants.mapper import Mapper
from ants.multi_group import source_iteration
import numpy as np
import matplotlib.pyplot as plt
groups = 1
cells_x = 1000
medium_width = 16.
cell_width_x = medium_width / cells_x
angles = 16
xbounds = np.array([1, 0]... | 29.80198 | 87 | 0.679734 |
9e40a4a7ae6fa13448f345e341c1c32845116799 | 29,411 | py | Python | exp_runner.py | BoifZ/NeuS | a2900fa5c0b2a9d54b9cb5b364440ee7eecfb525 | [
"MIT"
] | null | null | null | exp_runner.py | BoifZ/NeuS | a2900fa5c0b2a9d54b9cb5b364440ee7eecfb525 | [
"MIT"
] | null | null | null | exp_runner.py | BoifZ/NeuS | a2900fa5c0b2a9d54b9cb5b364440ee7eecfb525 | [
"MIT"
] | null | null | null | import os
import time
import logging
import argparse
import numpy as np
import cv2 as cv
import trimesh
import torch
import torch.nn.functional as F
from torch.utils.tensorboard import SummaryWriter
from shutil import copyfile
from icecream import ic
from tqdm import tqdm
from pyhocon import ConfigFactory
from models.d... | 47.590615 | 180 | 0.605352 |
9e44b7345e9261d66e37f31753ad1afb6577bc5f | 2,007 | py | Python | code/video-analiz/python/camshift.py | BASARIRR/computer-vision-guide | 0a11726fb2be0cad63738ab45fd4edc4515441d2 | [
"MIT"
] | 230 | 2019-01-17T01:00:53.000Z | 2022-03-31T18:00:09.000Z | code/video-analiz/python/camshift.py | sturlu/goruntu-isleme-kilavuzu | e9377ace3823ca5f2d06ca78a11884256539134d | [
"MIT"
] | 8 | 2019-05-03T07:44:50.000Z | 2022-02-10T00:14:38.000Z | code/video-analiz/python/camshift.py | sturlu/goruntu-isleme-kilavuzu | e9377ace3823ca5f2d06ca78a11884256539134d | [
"MIT"
] | 71 | 2019-01-17T12:11:06.000Z | 2022-03-03T22:02:46.000Z | #Python v3, OpenCV v3.4.2
import numpy as np
import cv2
videoCapture = cv2.VideoCapture("video.mp4")
ret,camera_input = videoCapture.read()
rows, cols = camera_input.shape[:2]
'''
Video dosyas zerine Mean Shift iin bir alan belirlenir.
Bu koordinatlar arlkl ortalamas belirlenecek olan drtgen alandr. '''
#w ve h boy... | 32.901639 | 125 | 0.727454 |
9e459ba91afb3134b739b9c40e6c311ac98e5335 | 346 | py | Python | DTT_files/dtt.py | stecik/Directory_to_text | f93c76f820ff7dc39e213779115861e53ed6a266 | [
"MIT"
] | null | null | null | DTT_files/dtt.py | stecik/Directory_to_text | f93c76f820ff7dc39e213779115861e53ed6a266 | [
"MIT"
] | null | null | null | DTT_files/dtt.py | stecik/Directory_to_text | f93c76f820ff7dc39e213779115861e53ed6a266 | [
"MIT"
] | null | null | null | from dtt_class import DTT
from parser import args
if __name__ == "__main__":
dtt = DTT()
# Creates a list of files and subdirectories
try:
l = dtt.dir_to_list(args.directory, args)
# Creates a .txt file with the list
dtt.list_to_txt(args.output_file, l)
except Exception as e:
... | 28.833333 | 49 | 0.644509 |
9e45b73d08315aaa5770ad5f620934e0e80ebd70 | 1,675 | py | Python | src/models/head.py | takedarts/DenseResNet | d5f9c143ed3c484436a2a5bac366c3795e5d47ec | [
"MIT"
] | null | null | null | src/models/head.py | takedarts/DenseResNet | d5f9c143ed3c484436a2a5bac366c3795e5d47ec | [
"MIT"
] | null | null | null | src/models/head.py | takedarts/DenseResNet | d5f9c143ed3c484436a2a5bac366c3795e5d47ec | [
"MIT"
] | null | null | null | import torch.nn as nn
import collections
| 36.413043 | 93 | 0.605373 |
9e47088047a050a5c1880fb84b394c06ebc4af2c | 968 | py | Python | application.py | nicolas-van/startup_asgard_app | acbb706256214f6758de9db92ff2988cee62c8ff | [
"MIT"
] | null | null | null | application.py | nicolas-van/startup_asgard_app | acbb706256214f6758de9db92ff2988cee62c8ff | [
"MIT"
] | null | null | null | application.py | nicolas-van/startup_asgard_app | acbb706256214f6758de9db92ff2988cee62c8ff | [
"MIT"
] | null | null | null |
from __future__ import unicode_literals, print_function, absolute_import
import flask
import os
import os.path
import json
import sjoh.flask
import logging
import asgard
app = asgard.Asgard(__name__, flask_parameters={"static_folder": None})
# load configuration about files and folders
folder = os.path.dirname(__f... | 25.473684 | 73 | 0.722107 |
9e470dc0299f2bc08dbfaf73e95ab549a126fe53 | 414 | py | Python | build/lib/tests/visualizer_test.py | eltoto1219/vltk | e84c0efe9062eb864604d96345f71483816340aa | [
"Apache-2.0"
] | null | null | null | build/lib/tests/visualizer_test.py | eltoto1219/vltk | e84c0efe9062eb864604d96345f71483816340aa | [
"Apache-2.0"
] | null | null | null | build/lib/tests/visualizer_test.py | eltoto1219/vltk | e84c0efe9062eb864604d96345f71483816340aa | [
"Apache-2.0"
] | null | null | null | import io
import os
import unittest
import numpy as np
from PIL import Image
from vltk import SingleImageViz
PATH = os.path.dirname(os.path.realpath(__file__))
URL = "https://raw.githubusercontent.com/airsplay/py-bottom-up-attention/master/demo/data/images/input.jpg"
| 18 | 107 | 0.731884 |
9e473c9d126543858d93cd7cc38a1863415d85a8 | 3,419 | py | Python | siam_tracker/models/train_wrappers/pairwise_wrapper.py | microsoft/PySiamTracking | a82dabeaa42a7816dbd8e823da7b7e92ebb622ce | [
"MIT"
] | 28 | 2020-03-18T04:41:21.000Z | 2022-02-24T16:44:01.000Z | siam_tracker/models/train_wrappers/pairwise_wrapper.py | HengFan2010/PySiamTracking | a82dabeaa42a7816dbd8e823da7b7e92ebb622ce | [
"MIT"
] | 1 | 2020-04-05T15:23:22.000Z | 2020-04-07T16:23:12.000Z | siam_tracker/models/train_wrappers/pairwise_wrapper.py | HengFan2010/PySiamTracking | a82dabeaa42a7816dbd8e823da7b7e92ebb622ce | [
"MIT"
] | 11 | 2020-03-19T00:30:06.000Z | 2021-11-10T08:22:35.000Z | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import torch
from collections import OrderedDict
from ..builder import build_tracker, TRAIN_WRAPPERS
from ...datasets import TrainPairDataset, build_dataloader
from ...runner import Runner
from ...utils.parallel import MMDat... | 38.852273 | 99 | 0.623867 |
9e477dd3df7f5df09267317cd3bfe78b579ab14e | 212 | py | Python | coaster/views/__init__.py | AferriDaniel/coaster | 3ffbc9d33c981284593445299aaee0c3cc0cdb0b | [
"BSD-2-Clause"
] | 48 | 2015-01-15T08:57:24.000Z | 2022-01-26T04:04:34.000Z | coaster/views/__init__.py | AferriDaniel/coaster | 3ffbc9d33c981284593445299aaee0c3cc0cdb0b | [
"BSD-2-Clause"
] | 169 | 2015-01-16T13:17:38.000Z | 2021-05-31T13:23:23.000Z | coaster/views/__init__.py | AferriDaniel/coaster | 3ffbc9d33c981284593445299aaee0c3cc0cdb0b | [
"BSD-2-Clause"
] | 17 | 2015-02-15T07:39:04.000Z | 2021-10-05T11:20:22.000Z | """
View helpers
============
Coaster provides classes, functions and decorators for common scenarios in view
handlers.
"""
# flake8: noqa
from .classview import *
from .decorators import *
from .misc import *
| 16.307692 | 79 | 0.707547 |
9e481ccd75d0d45dc38668e3abc95311f9633891 | 1,429 | py | Python | socialdistribution/profiles/migrations/0009_auto_20200308_0539.py | um4r12/CMPUT404-project-socialdistribution | 54778371d1f6537370562de4ba4e4efe3288f95d | [
"Apache-2.0"
] | null | null | null | socialdistribution/profiles/migrations/0009_auto_20200308_0539.py | um4r12/CMPUT404-project-socialdistribution | 54778371d1f6537370562de4ba4e4efe3288f95d | [
"Apache-2.0"
] | null | null | null | socialdistribution/profiles/migrations/0009_auto_20200308_0539.py | um4r12/CMPUT404-project-socialdistribution | 54778371d1f6537370562de4ba4e4efe3288f95d | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.1.5 on 2020-03-08 05:39
from django.db import migrations, models
import django.db.models.deletion
| 42.029412 | 167 | 0.650805 |
9e491ac31491040fbc01015d8b5c1a03d71d8961 | 377 | py | Python | src/edeposit/amqp/rest/structures/__init__.py | edeposit/edeposit.rest | ecb1c00f7c156e1ed2000a0b68a3e4da506e7992 | [
"MIT"
] | 1 | 2015-12-10T13:30:22.000Z | 2015-12-10T13:30:22.000Z | src/edeposit/amqp/rest/structures/__init__.py | edeposit/edeposit.rest | ecb1c00f7c156e1ed2000a0b68a3e4da506e7992 | [
"MIT"
] | 33 | 2015-10-06T16:02:13.000Z | 2015-12-10T15:00:04.000Z | src/edeposit/amqp/rest/structures/__init__.py | edeposit/edeposit.rest | ecb1c00f7c156e1ed2000a0b68a3e4da506e7992 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# Interpreter version: python 2.7
#
# Imports =====================================================================
from incomming import CacheTick
from incomming import SaveLogin
from incomming import RemoveLogin
from incomming import StatusUpdate
from outgoing import ... | 26.928571 | 79 | 0.649867 |
9e4940a9f3cc370e790b4e7a714aac9bb4e6baa7 | 9,446 | py | Python | accelbyte_py_sdk/api/platform/wrappers/_anonymization.py | AccelByte/accelbyte-python-sdk | dcd311fad111c59da828278975340fb92e0f26f7 | [
"MIT"
] | null | null | null | accelbyte_py_sdk/api/platform/wrappers/_anonymization.py | AccelByte/accelbyte-python-sdk | dcd311fad111c59da828278975340fb92e0f26f7 | [
"MIT"
] | 1 | 2021-10-13T03:46:58.000Z | 2021-10-13T03:46:58.000Z | accelbyte_py_sdk/api/platform/wrappers/_anonymization.py | AccelByte/accelbyte-python-sdk | dcd311fad111c59da828278975340fb92e0f26f7 | [
"MIT"
] | null | null | null | # Copyright (c) 2021 AccelByte Inc. All Rights Reserved.
# This is licensed software from AccelByte Inc, for limitations
# and restrictions contact your company contract manager.
#
# Code generated. DO NOT EDIT!
# template file: justice_py_sdk_codegen/__main__.py
# pylint: disable=duplicate-code
# pylint: disable=li... | 37.935743 | 151 | 0.72401 |
9e49cf2dc6f50772b3945f19de0ff48e7f6c2734 | 358 | py | Python | backend/api/serializers.py | vingle1/RestaurantProject | 5106a7662f26324ef50eebcfcba673960dff1734 | [
"MIT"
] | null | null | null | backend/api/serializers.py | vingle1/RestaurantProject | 5106a7662f26324ef50eebcfcba673960dff1734 | [
"MIT"
] | 1 | 2017-12-10T18:12:38.000Z | 2017-12-10T18:12:38.000Z | backend/api/serializers.py | vingle1/RestaurantProject | 5106a7662f26324ef50eebcfcba673960dff1734 | [
"MIT"
] | 2 | 2017-10-31T20:48:04.000Z | 2017-11-30T04:05:36.000Z |
from django.contrib.auth.models import User, Group
from rest_framework import serializers
from rest_framework_json_api.relations import *
#load django and webapp models
#from django.contrib.auth.models import *
from api.models import *
| 22.375 | 51 | 0.765363 |
9e4d5fb0fa81e143693d4b850e79279a83dcb058 | 622 | py | Python | preprocessed_data/RGHS/Code/S_model.py | SaiKrishna1207/Underwater-Image-Segmentation | 78def27e577b10e6722c02807bdcfeb7ba53d760 | [
"MIT"
] | null | null | null | preprocessed_data/RGHS/Code/S_model.py | SaiKrishna1207/Underwater-Image-Segmentation | 78def27e577b10e6722c02807bdcfeb7ba53d760 | [
"MIT"
] | null | null | null | preprocessed_data/RGHS/Code/S_model.py | SaiKrishna1207/Underwater-Image-Segmentation | 78def27e577b10e6722c02807bdcfeb7ba53d760 | [
"MIT"
] | null | null | null | import numpy as np
import pylab as pl
x = [] # Make an array of x values
y = [] # Make an array of y values for each x value
for i in range(-128,127):
x.append(i)
for j in range(-128,127):
temp = j *(2**(1 - abs((j/128))))
y.append(temp)
# print('y',y)
# pl.xlim(-128, 127)# set axis limits
# pl.ylim(... | 23.037037 | 66 | 0.639871 |
9e4db1ef4c553d26b23cdf167ecc2ec7e965d780 | 36,578 | py | Python | tools/Blender Stuff/Plugins/Gothic_MaT_Blender/1.3/Gothic_MaT_Blender_1_3.py | PhoenixTales/gothic-devk | 48193bef8fd37626f8909853bfc5ad4b7126f176 | [
"FSFAP"
] | 3 | 2021-04-13T07:12:30.000Z | 2021-06-18T17:26:10.000Z | tools/Blender Stuff/Plugins/Gothic_MaT_Blender/1.3/Gothic_MaT_Blender_1_3.py | PhoenixTales/gothic-devk | 48193bef8fd37626f8909853bfc5ad4b7126f176 | [
"FSFAP"
] | null | null | null | tools/Blender Stuff/Plugins/Gothic_MaT_Blender/1.3/Gothic_MaT_Blender_1_3.py | PhoenixTales/gothic-devk | 48193bef8fd37626f8909853bfc5ad4b7126f176 | [
"FSFAP"
] | 2 | 2021-03-23T19:45:39.000Z | 2021-04-17T17:21:48.000Z | bl_info = {
"name": "Gothic Materials and Textures Blender",
"description": "Makes life easier for Gothic material export",
"author": "Diego",
"version": (1, 3, 0),
"blender": (2, 78, 0),
"location": "3D View > Tools",
"warning": "", # used for warning icon and text in addons panel
... | 43.963942 | 194 | 0.561458 |
9e4e27c4f397f2c0b09121050df5d040566af2dd | 7,881 | py | Python | v1/GCRCatalogs/MB2GalaxyCatalog.py | adam-broussard/descqa | d9681bd393553c31882ec7e28e6c1c7b6e482dd3 | [
"BSD-3-Clause"
] | 4 | 2017-11-14T03:33:57.000Z | 2021-06-05T16:35:40.000Z | v1/GCRCatalogs/MB2GalaxyCatalog.py | adam-broussard/descqa | d9681bd393553c31882ec7e28e6c1c7b6e482dd3 | [
"BSD-3-Clause"
] | 136 | 2017-11-06T16:02:58.000Z | 2021-11-11T18:20:23.000Z | v1/GCRCatalogs/MB2GalaxyCatalog.py | adam-broussard/descqa | d9681bd393553c31882ec7e28e6c1c7b6e482dd3 | [
"BSD-3-Clause"
] | 31 | 2017-11-06T19:55:35.000Z | 2020-12-15T13:53:53.000Z | # Massive Black 2 galaxy catalog class
import numpy as np
from astropy.table import Table
import astropy.units as u
import astropy.cosmology
from .GalaxyCatalogInterface import GalaxyCatalog
| 52.192053 | 134 | 0.53242 |
9e4e87db0add45d330be3d156367bbd52e0ded32 | 714 | py | Python | skylernet/views.py | skylermishkin/skylernet | d715c69348c050d976ba7931127a576565b67ff1 | [
"MIT"
] | null | null | null | skylernet/views.py | skylermishkin/skylernet | d715c69348c050d976ba7931127a576565b67ff1 | [
"MIT"
] | null | null | null | skylernet/views.py | skylermishkin/skylernet | d715c69348c050d976ba7931127a576565b67ff1 | [
"MIT"
] | null | null | null | from django.shortcuts import get_object_or_404, render
from django.contrib.staticfiles.templatetags.staticfiles import static
| 42 | 96 | 0.564426 |
9e4e8b052d2746faabafff4026914e35d26807a7 | 532 | py | Python | src/objects/qubit.py | KaroliShp/Quantumformatics | 4166448706c06a1a45abd106da8152b4f4c40a25 | [
"MIT"
] | 2 | 2019-10-28T20:26:14.000Z | 2019-10-29T08:28:45.000Z | src/objects/qubit.py | KaroliShp/Quantumformatics | 4166448706c06a1a45abd106da8152b4f4c40a25 | [
"MIT"
] | 3 | 2019-10-28T09:19:27.000Z | 2019-10-28T13:42:08.000Z | src/objects/qubit.py | KaroliShp/Quantumformatics | 4166448706c06a1a45abd106da8152b4f4c40a25 | [
"MIT"
] | null | null | null | from src.dirac_notation.bra import Bra
from src.dirac_notation.ket import Ket
from src.dirac_notation.matrix import Matrix
from src.dirac_notation import functions as dirac
from src.dirac_notation import constants as const
from src.objects.quantum_system import QuantumSystem, SystemType
| 29.555556 | 64 | 0.755639 |
9e4edf8dd4337b4a83cb6c425f974138a731fbae | 9,926 | py | Python | cuddlefish/apiparser.py | mozilla/FlightDeck | 61d66783252ac1318c990e342877a26c64f59062 | [
"BSD-3-Clause"
] | 6 | 2015-04-24T03:10:44.000Z | 2020-12-27T19:46:33.000Z | cuddlefish/apiparser.py | fox2mike/FlightDeck | 3a2fc78c13dd968041b349c4f9343e6c8b22dd25 | [
"BSD-3-Clause"
] | null | null | null | cuddlefish/apiparser.py | fox2mike/FlightDeck | 3a2fc78c13dd968041b349c4f9343e6c8b22dd25 | [
"BSD-3-Clause"
] | 5 | 2015-09-18T19:58:31.000Z | 2020-01-28T05:46:55.000Z | import sys, re, textwrap
def parse_hunks(text):
# return a list of tuples. Each is one of:
# ("raw", string) : non-API blocks
# ("api-json", dict) : API blocks
processed = 0 # we've handled all bytes up-to-but-not-including this offset
line_number = 1
for m in re.finditer("<api... | 35.833935 | 89 | 0.503728 |
9e4f2abe49eca6572412ecb2672b250ab2b29afd | 1,217 | py | Python | specs/core.py | farleykr/acrylamid | c6c0f60b594d2920f6387ba82b552093d7c5fe1b | [
"BSD-2-Clause-FreeBSD"
] | 61 | 2015-01-15T23:23:11.000Z | 2022-03-24T16:39:31.000Z | specs/core.py | farleykr/acrylamid | c6c0f60b594d2920f6387ba82b552093d7c5fe1b | [
"BSD-2-Clause-FreeBSD"
] | 28 | 2015-01-26T22:32:24.000Z | 2022-01-13T01:11:56.000Z | specs/core.py | farleykr/acrylamid | c6c0f60b594d2920f6387ba82b552093d7c5fe1b | [
"BSD-2-Clause-FreeBSD"
] | 25 | 2015-01-22T19:26:29.000Z | 2021-06-30T21:53:06.000Z | # -*- coding: utf-8 -*-
import attest
from acrylamid.core import cache
| 23.862745 | 56 | 0.532457 |
9e51608d7b0aa9e6ba5eb1fb96ffd50952b54f6c | 1,235 | py | Python | python/animate_sub_plots_sharc.py | FinMacDov/PhD_codes | 44e781c270fa9822a8137ef271f35c6e945c5828 | [
"MIT"
] | null | null | null | python/animate_sub_plots_sharc.py | FinMacDov/PhD_codes | 44e781c270fa9822a8137ef271f35c6e945c5828 | [
"MIT"
] | null | null | null | python/animate_sub_plots_sharc.py | FinMacDov/PhD_codes | 44e781c270fa9822a8137ef271f35c6e945c5828 | [
"MIT"
] | null | null | null | from subplot_animation import subplot_animation
import sys
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
import os
import numpy as np
import glob
sys.path.append("/home/smp16fm/forked_amrvac/amrvac/tools/python")
from amrvac_pytools.datfiles.reading import amrvac_reader
from amrvac_pytools.v... | 27.444444 | 110 | 0.715789 |
9e554dd387e1b98981fc98073b0b6ac0775be949 | 812 | py | Python | swcf/controllers/index.py | pratiwilestari/simpleWebContactForm | 56369daadb8130bb72c19ae8ee10ad590804c84d | [
"MIT"
] | null | null | null | swcf/controllers/index.py | pratiwilestari/simpleWebContactForm | 56369daadb8130bb72c19ae8ee10ad590804c84d | [
"MIT"
] | null | null | null | swcf/controllers/index.py | pratiwilestari/simpleWebContactForm | 56369daadb8130bb72c19ae8ee10ad590804c84d | [
"MIT"
] | null | null | null | from flask.helpers import flash
from flask.wrappers import Request
from swcf import app
from flask import render_template, redirect, request, url_for
from swcf.dao.indexDAO import * | 31.230769 | 61 | 0.674877 |
9e55fcc920876b41b0c966a7f0b020aafcb8f66f | 87 | py | Python | examples/testlib2/box/methods_a.py | uibcdf/pyunitwizard | 54cdce7369e1f2a3771a1f05a4a6ba1d7610a5e7 | [
"MIT"
] | 2 | 2021-07-01T14:33:58.000Z | 2022-03-19T19:19:09.000Z | examples/testlib2/box/methods_a.py | uibcdf/pyunitwizard | 54cdce7369e1f2a3771a1f05a4a6ba1d7610a5e7 | [
"MIT"
] | 15 | 2021-02-11T18:54:16.000Z | 2022-03-18T17:38:03.000Z | examples/testlib2/box/methods_a.py | uibcdf/pyunitwizard | 54cdce7369e1f2a3771a1f05a4a6ba1d7610a5e7 | [
"MIT"
] | 2 | 2021-06-17T18:56:02.000Z | 2022-03-08T05:02:17.000Z | from testlib2 import _puw
| 14.5 | 34 | 0.770115 |
9e5734bc9428d420f659a156adfa25e7ae27b0df | 4,668 | py | Python | tests/broker/test_show_machine.py | ned21/aquilon | 6562ea0f224cda33b72a6f7664f48d65f96bd41a | [
"Apache-2.0"
] | 7 | 2015-07-31T05:57:30.000Z | 2021-09-07T15:18:56.000Z | tests/broker/test_show_machine.py | ned21/aquilon | 6562ea0f224cda33b72a6f7664f48d65f96bd41a | [
"Apache-2.0"
] | 115 | 2015-03-03T13:11:46.000Z | 2021-09-20T12:42:24.000Z | tests/broker/test_show_machine.py | ned21/aquilon | 6562ea0f224cda33b72a6f7664f48d65f96bd41a | [
"Apache-2.0"
] | 13 | 2015-03-03T11:17:59.000Z | 2021-09-09T09:16:41.000Z | #!/usr/bin/env python
# -*- cpy-indent-level: 4; indent-tabs-mode: nil -*-
# ex: set expandtab softtabstop=4 shiftwidth=4:
#
# Copyright (C) 2008,2009,2010,2011,2012,2013,2014,2015,2016 Contributor
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with... | 45.320388 | 79 | 0.646744 |
9e5983beaa6b6cc08ac0ba87d128a18495efcf64 | 117 | py | Python | config-template.py | johanjordaan/silver-giggle | 5304a96b6aa1c4c5eb1f9069212423810aa89818 | [
"MIT"
] | 1 | 2021-12-04T05:11:26.000Z | 2021-12-04T05:11:26.000Z | config-template.py | johanjordaan/silver-giggle | 5304a96b6aa1c4c5eb1f9069212423810aa89818 | [
"MIT"
] | null | null | null | config-template.py | johanjordaan/silver-giggle | 5304a96b6aa1c4c5eb1f9069212423810aa89818 | [
"MIT"
] | null | null | null | host="mysql-general.cyqv8he15vrg.ap-southeast-2.rds.amazonaws.com"
user="admin"
password=""
database="silver_giggle"
| 23.4 | 66 | 0.794872 |