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607f482de3979ae3f1e14134f8ff6f16b946d08b | 2,182 | py | Python | utils/convert_to_xz.py | glebkuznetsov/cloudbiolinux | ec47b90ce72f6cd1bc4e5422231f19d41378b122 | [
"MIT"
] | 122 | 2015-01-04T13:23:27.000Z | 2022-01-18T22:52:12.000Z | utils/convert_to_xz.py | glebkuznetsov/cloudbiolinux | ec47b90ce72f6cd1bc4e5422231f19d41378b122 | [
"MIT"
] | 170 | 2015-02-09T18:03:49.000Z | 2021-11-14T02:32:09.000Z | utils/convert_to_xz.py | glebkuznetsov/cloudbiolinux | ec47b90ce72f6cd1bc4e5422231f19d41378b122 | [
"MIT"
] | 107 | 2015-01-06T06:10:04.000Z | 2022-02-10T17:25:34.000Z | #!/usr/bin/env python
"""Convert gzipped files on s3 biodata to xz compression format.
This conversion is designed to save time and space for download.
Some download utilities to speed things up:
axel, aria2, lftp
"""
if __name__ == "__main__":
bucket_name = "biodata"
main(bucket_name)
| 34.634921 | 85 | 0.64253 | #!/usr/bin/env python
"""Convert gzipped files on s3 biodata to xz compression format.
This conversion is designed to save time and space for download.
Some download utilities to speed things up:
axel, aria2, lftp
"""
import os
import sys
import socket
import subprocess
import boto
import fabric.api as fabric
def m... | 0 | 0 | 0 | 0 | 0 | 1,698 | 0 | -39 | 225 |
ef8c27e1cefe34dc5b34a9efd165229c09281d61 | 8,381 | py | Python | wyze_sdk/service/scale_service.py | RebelTat/wyze-sdk | 249b1df71e80c97fc2e5fb5977431b887f7361c2 | [
"Unlicense"
] | 132 | 2021-05-03T12:33:58.000Z | 2022-03-31T18:03:26.000Z | wyze_sdk/service/scale_service.py | RebelTat/wyze-sdk | 249b1df71e80c97fc2e5fb5977431b887f7361c2 | [
"Unlicense"
] | 51 | 2021-05-01T20:24:20.000Z | 2022-03-30T20:37:05.000Z | wyze_sdk/service/scale_service.py | RebelTat/wyze-sdk | 249b1df71e80c97fc2e5fb5977431b887f7361c2 | [
"Unlicense"
] | 21 | 2021-05-05T14:01:38.000Z | 2022-03-29T02:58:39.000Z | from __future__ import annotations
| 40.293269 | 206 | 0.635485 | from __future__ import annotations
from datetime import datetime
from typing import Optional, Sequence, Tuple, Union
from wyze_sdk.models import datetime_to_epoch
from .base import ExServiceClient, WyzeResponse
class ScaleServiceClient(ExServiceClient):
"""
Scale service client is the wrapper on the reques... | 0 | 0 | 0 | 8,143 | 0 | 0 | 0 | 88 | 114 |
9a240829f2fd3ac6b2f5b53c6e23ecb372c84fb8 | 2,343 | py | Python | api/migrations/0001_initial.py | lirandepira/winccoa-web | cf1eef22937956c46bbc4ef0e0ab1cc88cdea4b1 | [
"MIT"
] | null | null | null | api/migrations/0001_initial.py | lirandepira/winccoa-web | cf1eef22937956c46bbc4ef0e0ab1cc88cdea4b1 | [
"MIT"
] | null | null | null | api/migrations/0001_initial.py | lirandepira/winccoa-web | cf1eef22937956c46bbc4ef0e0ab1cc88cdea4b1 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.7 on 2018-07-06 14:37
| 42.6 | 114 | 0.556978 | # Generated by Django 2.0.7 on 2018-07-06 14:37
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Elements',
fields=[
... | 0 | 0 | 0 | 2,196 | 0 | 0 | 0 | 30 | 68 |
7d6eb927a7acd0fcfeabf330830474d337f8fc64 | 429 | py | Python | setup.py | msaltz96/wigs | 35b6bedbac670d48a5d0b088f681daf38756abfa | [
"Apache-2.0"
] | null | null | null | setup.py | msaltz96/wigs | 35b6bedbac670d48a5d0b088f681daf38756abfa | [
"Apache-2.0"
] | null | null | null | setup.py | msaltz96/wigs | 35b6bedbac670d48a5d0b088f681daf38756abfa | [
"Apache-2.0"
] | null | null | null | from setuptools import setup, find_packages
setup(
name="pre_wigs_validation",
version="0.1.0",
description="Pre-WIG Validator for Linux",
author="steno",
author_email="steno@amazon.com",
packages=find_packages(exclude=["tests"]),
include_package_data=True,
install_requires=... | 28.6 | 74 | 0.682984 | from setuptools import setup, find_packages
setup(
name="pre_wigs_validation",
version="0.1.0",
description="Pre-WIG Validator for Linux",
author="steno",
author_email="steno@amazon.com",
packages=find_packages(exclude=["tests"]),
include_package_data=True,
install_requires=... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
07391be648f1e47b967aff8fdaf3134d1e0d69b5 | 54,550 | py | Python | OED/cnn_seq2seq.py | adrianomundo/II2202-research-methodology-scientific-writing | 39a7a07e1dabbd988f9b3e0c5c41a36a6d292df8 | [
"Apache-2.0"
] | 1 | 2021-01-30T11:03:05.000Z | 2021-01-30T11:03:05.000Z | OED/cnn_seq2seq.py | adrianomundo/II2202-research-methodology-scientific-writing | 39a7a07e1dabbd988f9b3e0c5c41a36a6d292df8 | [
"Apache-2.0"
] | null | null | null | OED/cnn_seq2seq.py | adrianomundo/II2202-research-methodology-scientific-writing | 39a7a07e1dabbd988f9b3e0c5c41a36a6d292df8 | [
"Apache-2.0"
] | null | null | null | import sys
import numpy as np
if __name__ == '__main__':
batch_num = 1
hidden_num = 4
# step_num = 8
iteration = 30
ensemble_space = 10
learning_rate = 1e-3
multivariate = True
partition = True
save_model = False
try:
sys.argv[1]
except IndexError:
for n i... | 60.949721 | 201 | 0.486893 | import pathlib
import sys
import tensorflow as tf
import numpy as np
from tensorflow.python.ops import init_ops
from tensorflow.python.ops.rnn_cell_impl import _Linear, LSTMStateTuple
from tensorflow.python.ops import variable_scope as vs
from utils import *
def conv1d_relu(_x, _w, _b):
return tf.nn.relu(tf.nn.bi... | 0 | 0 | 0 | 0 | 0 | 5,232 | 0 | 97 | 225 |
7c3a1e64eb7f90975d8a37e4689e534e9971ded6 | 9,746 | py | Python | tests/parsers/sqlite_plugins/firefox.py | Defense-Cyber-Crime-Center/plaso | 4f3a85fbea10637c1cdbf0cde9fc539fdcea9c47 | [
"Apache-2.0"
] | 2 | 2016-02-18T12:46:29.000Z | 2022-03-13T03:04:59.000Z | tests/parsers/sqlite_plugins/firefox.py | Defense-Cyber-Crime-Center/plaso | 4f3a85fbea10637c1cdbf0cde9fc539fdcea9c47 | [
"Apache-2.0"
] | null | null | null | tests/parsers/sqlite_plugins/firefox.py | Defense-Cyber-Crime-Center/plaso | 4f3a85fbea10637c1cdbf0cde9fc539fdcea9c47 | [
"Apache-2.0"
] | 6 | 2016-12-18T08:05:36.000Z | 2021-04-06T14:19:11.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""Tests for the Mozilla Firefox history database plugin."""
import unittest
if __name__ == '__main__':
unittest.main()
| 37.057034 | 80 | 0.736199 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""Tests for the Mozilla Firefox history database plugin."""
import collections
import unittest
from plaso.formatters import firefox as _ # pylint: disable=unused-import
from plaso.lib import eventdata
from plaso.lib import timelib
from plaso.parsers import sqlite
from plaso... | 0 | 0 | 0 | 9,241 | 0 | 0 | 0 | 101 | 236 |
b2ca930e892e3b76aaffe81353c72803618798b2 | 1,826 | py | Python | mgz/body/embedded.py | Namek/aoc-mgz | 0c8196dccb550a48ecc375d7861138ef88b53716 | [
"MIT"
] | 117 | 2015-03-07T10:55:58.000Z | 2022-03-18T18:22:01.000Z | mgz/body/embedded.py | Namek/aoc-mgz | 0c8196dccb550a48ecc375d7861138ef88b53716 | [
"MIT"
] | 71 | 2015-10-02T00:05:07.000Z | 2022-03-25T16:47:56.000Z | mgz/body/embedded.py | Namek/aoc-mgz | 0c8196dccb550a48ecc375d7861138ef88b53716 | [
"MIT"
] | 41 | 2015-03-07T02:50:59.000Z | 2021-09-13T06:16:12.000Z | """Embedded Structures.
Various structure can be embedded in the body, without an operation header.
Saved Chapters:
A saved chapter is a header structure embedded in the body.
There is no command identifier, so the command type is actually
the first field of the header - length/offset. Applying the `subheader`
struc... | 25.71831 | 77 | 0.651698 | """Embedded Structures.
Various structure can be embedded in the body, without an operation header.
Saved Chapters:
A saved chapter is a header structure embedded in the body.
There is no command identifier, so the command type is actually
the first field of the header - length/offset. Applying the `subheader`
struc... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 |
20fab8022fd83af53ea7e0c5365056dc64940d56 | 302 | py | Python | Alphabet/Small_Alphabet/Static_Small_Letters_For_Loop/FOR_LOOP_p.py | Polamreddykrishnareddy/PatternPackage | 893ab468a637cd70a0dd8f6d60f7f5c75a3db58f | [
"MIT"
] | null | null | null | Alphabet/Small_Alphabet/Static_Small_Letters_For_Loop/FOR_LOOP_p.py | Polamreddykrishnareddy/PatternPackage | 893ab468a637cd70a0dd8f6d60f7f5c75a3db58f | [
"MIT"
] | null | null | null | Alphabet/Small_Alphabet/Static_Small_Letters_For_Loop/FOR_LOOP_p.py | Polamreddykrishnareddy/PatternPackage | 893ab468a637cd70a0dd8f6d60f7f5c75a3db58f | [
"MIT"
] | null | null | null | #p
for row in range(13):
for col in range(6):
if (col==0 or row==0 and col!=5) or (row==1 and col==5)or (row==2 and col==5)or (row==3 and col==5)or (row==4 and col==5) or (row==5 and col!=5):#p
print("*",end=" ")
else:
print(" ",end=" ")
print()
| 33.555556 | 156 | 0.463576 | #p
for row in range(13):
for col in range(6):
if (col==0 or row==0 and col!=5) or (row==1 and col==5)or (row==2 and col==5)or (row==3 and col==5)or (row==4 and col==5) or (row==5 and col!=5):#p
print("*",end=" ")
else:
print(" ",end=" ")
print()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
51d712db70f6674f1a70dd0d199f6f41778c599a | 2,014 | py | Python | data_masking_methods/mask_the_info.py | GeorgeManakanatas/PPDM | 9e6af80681db497447197cac14b26b99e588f231 | [
"MIT",
"Unlicense"
] | 3 | 2016-11-18T07:24:39.000Z | 2019-07-06T07:45:15.000Z | data_masking_methods/mask_the_info.py | GeorgeManakanatas/PPDM | 9e6af80681db497447197cac14b26b99e588f231 | [
"MIT",
"Unlicense"
] | 2 | 2017-02-14T15:24:34.000Z | 2019-11-25T19:18:05.000Z | data_masking_methods/mask_the_info.py | GeorgeManakanatas/PPDM | 9e6af80681db497447197cac14b26b99e588f231 | [
"MIT",
"Unlicense"
] | 3 | 2017-12-19T07:04:24.000Z | 2021-08-20T15:42:13.000Z | '''
information masking section
'''
import timeit
from . import encrypt_the_info
from . import null_the_info
def masking_method_selection(start_dataframe, mask_col, mask_method,
save_to_file, masked_file, logger):
'''
Basic check that all input is properly provided and filtering t... | 38.730769 | 79 | 0.695631 | '''
information masking section
'''
import logging
import timeit
from . import encrypt_the_info
from . import null_the_info
def masking_method_selection(start_dataframe, mask_col, mask_method,
save_to_file, masked_file, logger):
'''
Basic check that all input is properly provided ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -7 | 22 |
b7a2b031b62930c8b996cd893bd4bcce4bd6e6ea | 2,398 | py | Python | domains/deliver/problems/manual/problem5_OF.py | patras91/rae_release | 0e5faffb7eb732fdb8e3bbf2c6d2f2cbd520aa30 | [
"BSD-3-Clause"
] | 1 | 2021-09-28T12:56:56.000Z | 2021-09-28T12:56:56.000Z | domains/deliver/problems/manual/problem5_OF.py | patras91/rae_release | 0e5faffb7eb732fdb8e3bbf2c6d2f2cbd520aa30 | [
"BSD-3-Clause"
] | null | null | null | domains/deliver/problems/manual/problem5_OF.py | patras91/rae_release | 0e5faffb7eb732fdb8e3bbf2c6d2f2cbd520aa30 | [
"BSD-3-Clause"
] | 1 | 2022-03-31T16:30:39.000Z | 2022-03-31T16:30:39.000Z | __author__ = 'mason'
from timer import DURATION
'''
Several objects to choose from, need to consider weights
Same as problem 4 but only 1 robot
'''
DURATION.TIME = {
'lookupDB': GetCostOfLookup,
'wrap': GetCostOfWrap,
'pickup': GetCostOfPickup,
'putdown': GetCostOfPutdown,
'loadMachine': G... | 24.469388 | 96 | 0.584654 | __author__ = 'mason'
from domain_orderFulfillment import *
from timer import DURATION
from state import state
import numpy as np
'''
Several objects to choose from, need to consider weights
Same as problem 4 but only 1 robot
'''
def GetCostOfMove(id, r, loc1, loc2, dist):
return 1 + dist
def GetCostOfLookup(i... | 0 | 0 | 0 | 0 | 0 | 893 | 0 | 15 | 228 |
d682a95c426da85437977b5f33eeeb297e0afda2 | 1,754 | py | Python | trackpal/visu.py | sommerc/trackpal | f62e6a4467af8a5988b5bce0c20872bc3e325cae | [
"BSD-3-Clause"
] | 1 | 2022-01-10T16:48:23.000Z | 2022-01-10T16:48:23.000Z | trackpal/visu.py | sommerc/trackpal | f62e6a4467af8a5988b5bce0c20872bc3e325cae | [
"BSD-3-Clause"
] | null | null | null | trackpal/visu.py | sommerc/trackpal | f62e6a4467af8a5988b5bce0c20872bc3e325cae | [
"BSD-3-Clause"
] | null | null | null | """Track visualization"""
from matplotlib import pyplot as plt
def plot_trj(
trj,
coords=None,
ax=None,
scale=None,
line_fmt="x:",
line_color=None,
line_label="Trajectory",
line_width=None,
marker_size=None,
alpha=None,
start_end=(True, True),
):
"""[summary]
Args... | 26.179104 | 98 | 0.566135 | """Track visualization"""
from matplotlib import pyplot as plt
def plot_trj(
trj,
coords=None,
ax=None,
scale=None,
line_fmt="x:",
line_color=None,
line_label="Trajectory",
line_width=None,
marker_size=None,
alpha=None,
start_end=(True, True),
):
"""[summary]
Args... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9ade5536cc926d194f758f83ecb6495530677c35 | 6,136 | py | Python | src/gluonts/model/testutil.py | dotgc/gluon-ts | e14ad69058e58e1ce51c40551674318341781331 | [
"Apache-2.0"
] | 1 | 2021-08-03T09:09:31.000Z | 2021-08-03T09:09:31.000Z | src/gluonts/model/testutil.py | Happiness20/gluon-ts | e14ad69058e58e1ce51c40551674318341781331 | [
"Apache-2.0"
] | null | null | null | src/gluonts/model/testutil.py | Happiness20/gluon-ts | e14ad69058e58e1ce51c40551674318341781331 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license... | 31.792746 | 79 | 0.636082 | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license... | 0 | 1,165 | 0 | 3,926 | 0 | 0 | 0 | 146 | 246 |
a55c169171ded7deb8167391e08f38271824a4d9 | 1,610 | py | Python | examples/oauth.py | Code-in-the-House/foursquare_api | 47f710802bad581d36c7e8ec28612bccf1f9fe41 | [
"MIT"
] | null | null | null | examples/oauth.py | Code-in-the-House/foursquare_api | 47f710802bad581d36c7e8ec28612bccf1f9fe41 | [
"MIT"
] | null | null | null | examples/oauth.py | Code-in-the-House/foursquare_api | 47f710802bad581d36c7e8ec28612bccf1f9fe41 | [
"MIT"
] | null | null | null | import pyfoursquare as foursquare
# == OAuth2 Authentication ==
#
# This mode of authentication is the required one for Foursquare
# The client id and client secret can be found on your application's Details
# page located at https://foursquare.com/oauth/
client_id = "E50NJYAFUAPXPAKU5XQNBTXPGKRRSNUGAYWTUUH3RKJ22HH4"... | 29.272727 | 76 | 0.77205 | import pyfoursquare as foursquare
# == OAuth2 Authentication ==
#
# This mode of authentication is the required one for Foursquare
# The client id and client secret can be found on your application's Details
# page located at https://foursquare.com/oauth/
client_id = "E50NJYAFUAPXPAKU5XQNBTXPGKRRSNUGAYWTUUH3RKJ22HH4"... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2547d96a6a4b442bf0ff50913fed0095c52574cf | 438 | py | Python | Handin/handin2.py | thesombady/Fytb14 | e630e8d9ff4512849d124426b5754b6b44d89069 | [
"MIT"
] | null | null | null | Handin/handin2.py | thesombady/Fytb14 | e630e8d9ff4512849d124426b5754b6b44d89069 | [
"MIT"
] | null | null | null | Handin/handin2.py | thesombady/Fytb14 | e630e8d9ff4512849d124426b5754b6b44d89069 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
mg = 10
xlist = np.linspace(0,np.pi/2,100)
f1 = 3*mg/2*(np.sin(xlist)*np.cos(xlist)*3/2-np.cos(xlist))
f2 = 3*mg/2*(-np.sin(xlist)+(3*np.sin(xlist)**2-1)/2) + mg
plt.plot(xlist, f1, '-', markersize=1, label = r"$F_x$")
plt.plot(xlist, f2, '-', markersize=1, label = ... | 24.333333 | 59 | 0.643836 | import numpy as np
import matplotlib.pyplot as plt
mg = 10
xlist = np.linspace(0,np.pi/2,100)
f1 = 3*mg/2*(np.sin(xlist)*np.cos(xlist)*3/2-np.cos(xlist))
f2 = 3*mg/2*(-np.sin(xlist)+(3*np.sin(xlist)**2-1)/2) + mg
plt.plot(xlist, f1, '-', markersize=1, label = r"$F_x$")
plt.plot(xlist, f2, '-', markersize=1, label = ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c0d954c3b6047cbbc2c0a18b91acaa42bdc69750 | 1,323 | py | Python | graphs/tests/test_graphs.py | Sewar-web/data-structures-and-algorithms1 | d94f706fb3a30c114bd08a6c2d9b7ed269bc9a21 | [
"MIT"
] | null | null | null | graphs/tests/test_graphs.py | Sewar-web/data-structures-and-algorithms1 | d94f706fb3a30c114bd08a6c2d9b7ed269bc9a21 | [
"MIT"
] | null | null | null | graphs/tests/test_graphs.py | Sewar-web/data-structures-and-algorithms1 | d94f706fb3a30c114bd08a6c2d9b7ed269bc9a21 | [
"MIT"
] | 1 | 2021-06-26T09:19:43.000Z | 2021-06-26T09:19:43.000Z | from graphs.graph import Graph
graph = Graph()
| 22.810345 | 104 | 0.568405 | from graphs import __version__
from graphs.graph import Vertix ,Edge,Graph
def test_version():
assert __version__ == '0.1.0'
graph = Graph()
def test_add_node():
graph.add_node('a')
assert graph.get_nodes()=={'a': []}
def test_edge():
graph=Graph()
graph.add_node('a')
graph.add_node('b')
... | 0 | 0 | 0 | 0 | 0 | 1,044 | 0 | 22 | 205 |
e065295369c34fdafb30ecef1f98567848098232 | 1,332 | py | Python | core/test.py | fazilaltinel/pytorch-dann-resnet | fe6abb274065c26c918d71c38babe2ec894d8293 | [
"MIT"
] | 4 | 2021-02-08T10:32:48.000Z | 2021-09-15T05:43:20.000Z | core/test.py | fazilaltinel/pytorch-dann-resnet | fe6abb274065c26c918d71c38babe2ec894d8293 | [
"MIT"
] | null | null | null | core/test.py | fazilaltinel/pytorch-dann-resnet | fe6abb274065c26c918d71c38babe2ec894d8293 | [
"MIT"
] | 2 | 2021-02-25T20:17:41.000Z | 2021-08-29T08:06:39.000Z | import torch.utils.data
import torch.nn as nn
def test(model, data_loader, device, loggi, flag):
"""Evaluate model for dataset."""
# set eval state for Dropout and BN layers
model.eval()
# init loss and accuracy
loss_ = 0.0
acc_ = 0.0
acc_domain_ = 0.0
n_total = 0
# set loss funct... | 29.6 | 149 | 0.605105 | import torch.utils.data
import torch.nn as nn
def test(model, data_loader, device, loggi, flag):
"""Evaluate model for dataset."""
# set eval state for Dropout and BN layers
model.eval()
# init loss and accuracy
loss_ = 0.0
acc_ = 0.0
acc_domain_ = 0.0
n_total = 0
# set loss funct... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ab16331c01263b1f5184c5ed899245585e948a04 | 6,467 | py | Python | tests/licensedcode/data/datadriven/lic2/2206-misc-python/interval.py | s4-2/scancode-toolkit | 8931b42e2630b94d0cabc834dfb3c16f01f82321 | [
"Apache-2.0",
"CC-BY-4.0"
] | 1,511 | 2015-07-01T15:29:03.000Z | 2022-03-30T13:40:05.000Z | tests/licensedcode/data/datadriven/lic2/2206-misc-python/interval.py | s4-2/scancode-toolkit | 8931b42e2630b94d0cabc834dfb3c16f01f82321 | [
"Apache-2.0",
"CC-BY-4.0"
] | 2,695 | 2015-07-01T16:01:35.000Z | 2022-03-31T19:17:44.000Z | backend/env/lib/python3.7/site-packages/aniso8601/interval.py | US579/Seddit | 116a676efd0fa31c8cc6fe4c723b739203d9428b | [
"MIT"
] | 540 | 2015-07-01T15:08:19.000Z | 2022-03-31T12:13:11.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2019, Brandon Nielsen
# All rights reserved.
#
# This software may be modified and distributed under the terms
# of the BSD license. See the LICENSE file for details.
| 40.41875 | 79 | 0.613422 | # -*- coding: utf-8 -*-
# Copyright (c) 2019, Brandon Nielsen
# All rights reserved.
#
# This software may be modified and distributed under the terms
# of the BSD license. See the LICENSE file for details.
from aniso8601.builders import TupleBuilder
from aniso8601.builders.python import PythonTimeBuilder
from aniso... | 0 | 0 | 0 | 0 | 0 | 5,914 | 0 | 142 | 202 |
ee4087c26b6609704e5da238bf4a0da044dbb850 | 1,602 | py | Python | run.py | bri25yu/jiant | 88a21a9fed7f5e9d6a42a8129d2c63a2f8e0f30a | [
"MIT"
] | null | null | null | run.py | bri25yu/jiant | 88a21a9fed7f5e9d6a42a8129d2c63a2f8e0f30a | [
"MIT"
] | null | null | null | run.py | bri25yu/jiant | 88a21a9fed7f5e9d6a42a8129d2c63a2f8e0f30a | [
"MIT"
] | null | null | null | import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("-t", "--task_name")
parser.add_argument("-d", "--data_dir")
parser.add_argument("-e", "--exp_dir")
parser.add_argument("-m", "--model_name_or_path")
parser.add_argument("-c", "--compression_typ... | 25.83871 | 75 | 0.6598 | import argparse
from jiant.proj.simple import runscript as run
import jiant.scripts.download_data.runscript as downloader
def main(
task_name,
data_dir,
exp_dir,
model_name_or_path,
compression_type,
compression_config,
learning_rate,
seed,
):
downloader.download_data([task_name],... | 0 | 0 | 0 | 0 | 0 | 693 | 0 | 62 | 68 |
98670a49ae2d29567afb74eef9cd125362c57e38 | 10,350 | py | Python | main/views.py | sirodoht/oscarator.com | 5c20e38a0db4d8937e849e493c698767ce49d2ba | [
"MIT"
] | 1 | 2022-02-16T21:47:20.000Z | 2022-02-16T21:47:20.000Z | main/views.py | sirodoht/oscarator.com | 5c20e38a0db4d8937e849e493c698767ce49d2ba | [
"MIT"
] | 3 | 2022-02-16T13:40:59.000Z | 2022-02-16T13:42:23.000Z | main/views.py | sirodoht/oscarator.com | 5c20e38a0db4d8937e849e493c698767ce49d2ba | [
"MIT"
] | null | null | null |
INTERNAL_RESET_URL_TOKEN = "confirmation"
INTERNAL_RESET_SESSION_TOKEN = "_password_reset_token"
| 35.204082 | 129 | 0.608986 | from django.contrib import messages
from django.contrib.auth import authenticate, login as dj_login, logout as dj_logout
from django.contrib.auth.decorators import login_required
from django.contrib.auth.forms import (
AuthenticationForm,
PasswordChangeForm,
PasswordResetForm,
SetPasswordForm,
)
from dj... | 0 | 9,289 | 0 | 0 | 0 | 0 | 0 | 482 | 472 |
101fcee678ce67d5dc1b945bc5521cc6e6232b86 | 98 | py | Python | clitooltester/__init__.py | dfirlabs/clitooltester | ffe23b7b7458212d150390f476cda74e89fc97e1 | [
"Apache-2.0"
] | null | null | null | clitooltester/__init__.py | dfirlabs/clitooltester | ffe23b7b7458212d150390f476cda74e89fc97e1 | [
"Apache-2.0"
] | null | null | null | clitooltester/__init__.py | dfirlabs/clitooltester | ffe23b7b7458212d150390f476cda74e89fc97e1 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""Command line tool tester (CLIToolTester)."""
__version__ = '20191217'
| 19.6 | 47 | 0.642857 | # -*- coding: utf-8 -*-
"""Command line tool tester (CLIToolTester)."""
__version__ = '20191217'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5c1f339722fbcdb5287bb5f5decebeea9ca758b7 | 331 | py | Python | users/migrations/0004_remove_profile_user.py | piotrzegarek/Numerical-computational-Site | 3c18ca1086135eddb23dfbe015882708e1e0c321 | [
"MIT"
] | 1 | 2021-12-03T15:51:49.000Z | 2021-12-03T15:51:49.000Z | users/migrations/0004_remove_profile_user.py | piotrzegarek/Numerical-computational-Site | 3c18ca1086135eddb23dfbe015882708e1e0c321 | [
"MIT"
] | null | null | null | users/migrations/0004_remove_profile_user.py | piotrzegarek/Numerical-computational-Site | 3c18ca1086135eddb23dfbe015882708e1e0c321 | [
"MIT"
] | 1 | 2021-12-03T15:52:37.000Z | 2021-12-03T15:52:37.000Z | # Generated by Django 3.2.9 on 2021-12-20 20:36
| 18.388889 | 51 | 0.595166 | # Generated by Django 3.2.9 on 2021-12-20 20:36
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('users', '0003_delete_user_profile_user'),
]
operations = [
migrations.RemoveField(
model_name='profile',
name='user',
... | 0 | 0 | 0 | 225 | 0 | 0 | 0 | 11 | 46 |
6dfdc54ff94e2ff04365c1be87003f5d42e21011 | 6,657 | py | Python | dci_downloader/api.py | redhat-cip/dci-downloader | d7ad184f502e145b9ccf2618b8af6d82ac7daa8a | [
"Apache-2.0"
] | null | null | null | dci_downloader/api.py | redhat-cip/dci-downloader | d7ad184f502e145b9ccf2618b8af6d82ac7daa8a | [
"Apache-2.0"
] | 3 | 2019-10-30T20:39:06.000Z | 2021-03-31T07:55:00.000Z | dci_downloader/api.py | redhat-cip/dci-downloader | d7ad184f502e145b9ccf2618b8af6d82ac7daa8a | [
"Apache-2.0"
] | 2 | 2020-01-12T05:27:00.000Z | 2020-06-19T02:39:24.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
FIVE_SECONDS = 5
TEN_SECONDS = 10
# We'll allow 5 seconds to connect & 10 seconds to get an answer
REQUESTS_TIMEOUT = (FIVE_SECONDS, TEN_SECONDS)
| 29.852018 | 87 | 0.633018 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import requests
import sys
import time
from functools import wraps
from multiprocessing import Pool
from dci_downloader.fs import create_parent_dir
from dciclient.v1.api.context import build_signature_context
from dciclient.v1.api import component as dci_compone... | 0 | 1,675 | 0 | 0 | 0 | 4,050 | 0 | 135 | 589 |
d5ff2fd7abf3a164f7893984f9e9753ff69d86e5 | 56 | py | Python | apps/categories/__init__.py | ExpoAshique/ProveBanking__s | f0b45fffea74d00d14014be27aa50fe5f42f6903 | [
"MIT"
] | null | null | null | apps/categories/__init__.py | ExpoAshique/ProveBanking__s | f0b45fffea74d00d14014be27aa50fe5f42f6903 | [
"MIT"
] | null | null | null | apps/categories/__init__.py | ExpoAshique/ProveBanking__s | f0b45fffea74d00d14014be27aa50fe5f42f6903 | [
"MIT"
] | null | null | null | default_app_config = 'categories.apps.CategoriesConfig'
| 28 | 55 | 0.857143 | default_app_config = 'categories.apps.CategoriesConfig'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bfc96a64d5994b6250f5d552e7ec22eab2022391 | 108 | py | Python | rbcz/__init__.py | smcl/rbcz.py | 2bcdea1e12d3800d4b9b3e1d3523dec43bf3026b | [
"MIT"
] | null | null | null | rbcz/__init__.py | smcl/rbcz.py | 2bcdea1e12d3800d4b9b3e1d3523dec43bf3026b | [
"MIT"
] | null | null | null | rbcz/__init__.py | smcl/rbcz.py | 2bcdea1e12d3800d4b9b3e1d3523dec43bf3026b | [
"MIT"
] | 2 | 2016-10-11T16:04:15.000Z | 2022-03-02T10:26:42.000Z | # flake8: noqa
| 15.428571 | 29 | 0.722222 | # flake8: noqa
from .rbcz import (
read_statement,
read_statements,
read_statements_from_imap
)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71 | 22 |
01d9136911dbdb303db7d50afa63b120f335fc5a | 405 | py | Python | 1017/main.py | pauvrepetit/leetcode | 6ad093cf543addc4dfa52d72a8e3c0d05a23b771 | [
"MIT"
] | null | null | null | 1017/main.py | pauvrepetit/leetcode | 6ad093cf543addc4dfa52d72a8e3c0d05a23b771 | [
"MIT"
] | null | null | null | 1017/main.py | pauvrepetit/leetcode | 6ad093cf543addc4dfa52d72a8e3c0d05a23b771 | [
"MIT"
] | null | null | null | # 1017.
#
# 20200801
# huao
# 112**(i+1)
#
#
sol = Solution()
print(sol.baseNeg2(4))
| 19.285714 | 50 | 0.511111 | # 1017. 负二进制转换
#
# 20200801
# huao
# 观察奇数位上的1，如果该位置为1，那么使用负二进制表示时，会比实际二进制时少2**(i+1)
# 把这个差值加进去，并进行处理加完以后的值
# 处理完以后，得到的数字的二进制表示就是原数的负二进制表示
class Solution:
def baseNeg2(self, N: int) -> str:
i = 0
while N >= (1 << i):
if i % 2 == 1 and (N & (1 << i) != 0):
N += (2 << i)
... | 270 | 0 | 0 | 202 | 0 | 0 | 0 | 0 | 23 |
77527d7a3513596852d1eb0ff8d8935a98e0cc26 | 67 | py | Python | Lib/ensurepip/__main__.py | Hadron/python | 73137f499ed658169f49273eee46845e3b53e800 | [
"PSF-2.0"
] | 2,557 | 2016-07-19T22:20:45.000Z | 2022-01-25T10:53:35.000Z | build/cmd/win32/Python27/Lib/ensurepip/__main__.py | IamBaoMouMou/AliOS-Things | 195a9160b871b3d78de6f8cf6c2ab09a71977527 | [
"Apache-2.0"
] | 1,360 | 2016-07-20T02:06:42.000Z | 2021-07-27T12:46:40.000Z | build/cmd/win32/Python27/Lib/ensurepip/__main__.py | IamBaoMouMou/AliOS-Things | 195a9160b871b3d78de6f8cf6c2ab09a71977527 | [
"Apache-2.0"
] | 607 | 2016-07-20T03:34:04.000Z | 2022-01-05T14:57:09.000Z | import ensurepip
if __name__ == "__main__":
ensurepip._main()
| 13.4 | 26 | 0.701493 | import ensurepip
if __name__ == "__main__":
ensurepip._main()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a84cd8dc54134f048fe048f26a419cfc349e13ac | 1,742 | py | Python | configuration.py | sayatul/trytond-sale-payment-gateway | 7ddcc77d946f4e3a71944477c3e83d7d06866cf7 | [
"BSD-3-Clause"
] | null | null | null | configuration.py | sayatul/trytond-sale-payment-gateway | 7ddcc77d946f4e3a71944477c3e83d7d06866cf7 | [
"BSD-3-Clause"
] | 6 | 2015-09-05T00:18:30.000Z | 2016-11-14T07:57:14.000Z | configuration.py | sayatul/trytond-sale-payment-gateway | 7ddcc77d946f4e3a71944477c3e83d7d06866cf7 | [
"BSD-3-Clause"
] | 15 | 2015-08-11T13:01:31.000Z | 2017-07-14T06:36:21.000Z | # -*- coding: utf-8 -*-
from trytond.pool import PoolMeta
__metaclass__ = PoolMeta
__all__ = ['SaleConfiguration']
| 27.650794 | 69 | 0.633754 | # -*- coding: utf-8 -*-
from trytond.model import fields
from trytond.pool import PoolMeta
__metaclass__ = PoolMeta
__all__ = ['SaleConfiguration']
class SaleConfiguration:
__name__ = "sale.configuration"
payment_authorize_on = fields.Selection(
"get_authorize_options", "Authorize payments", require... | 0 | 909 | 0 | 660 | 0 | 0 | 0 | 11 | 45 |
c8d43407f8c0512e2138628dadf82f2039fd8241 | 3,383 | py | Python | polimorfo/utils/maskutils.py | ciuffredaluca/polimorfo | 3a18b9fe95c5843c2f9528812109a40412db6ba9 | [
"Apache-2.0"
] | 3 | 2020-02-03T09:29:55.000Z | 2020-10-29T16:38:01.000Z | polimorfo/utils/maskutils.py | ciuffredaluca/polimorfo | 3a18b9fe95c5843c2f9528812109a40412db6ba9 | [
"Apache-2.0"
] | 164 | 2020-02-06T16:09:34.000Z | 2022-03-01T14:44:09.000Z | polimorfo/utils/maskutils.py | ciuffredaluca/polimorfo | 3a18b9fe95c5843c2f9528812109a40412db6ba9 | [
"Apache-2.0"
] | 5 | 2020-02-19T15:04:44.000Z | 2021-11-17T15:31:48.000Z | import cv2
import numpy as np
import pycocotools.mask as mask_util
__all__ = [
"mask_to_polygon",
"polygons_to_mask",
"area",
"bbox",
"coco_poygons_to_mask",
]
def mask_to_polygon(
mask, min_score: float = 0.5, approx: float = 0.0, relative: bool = True
):
"""generate polygons from masks
... | 27.958678 | 146 | 0.618386 | import cv2
import numpy as np
import pycocotools.mask as mask_util
from matplotlib.pyplot import contour
__all__ = [
"mask_to_polygon",
"polygons_to_mask",
"area",
"bbox",
"coco_poygons_to_mask",
]
def mask_to_polygon(
mask, min_score: float = 0.5, approx: float = 0.0, relative: bool = True
)... | 0 | 0 | 0 | 0 | 0 | 610 | 0 | 16 | 91 |
14fb4704b2aa70285eb22f68b4c42da396f281c5 | 340 | py | Python | configs/local_variables.py | AhmedStohy/EagerMOT | 59569a5f8ab350c82ac4b45216571c780a444fc1 | [
"MIT"
] | null | null | null | configs/local_variables.py | AhmedStohy/EagerMOT | 59569a5f8ab350c82ac4b45216571c780a444fc1 | [
"MIT"
] | null | null | null | configs/local_variables.py | AhmedStohy/EagerMOT | 59569a5f8ab350c82ac4b45216571c780a444fc1 | [
"MIT"
] | null | null | null | MOUNT_PATH = "" # in case you are mounting data storage externally
SPLIT = 'training'
KITTI_WORK_DIR = "./"
KITTI_DATA_DIR = "../input/kitti-3d-object-detection-dataset"
NUSCENES_WORK_DIR = MOUNT_PATH + "/storage/slurm/kimal/eagermot_workspace/nuscenes"
NUSCENES_DATA_DIR = MOUNT_PATH + "/storage/slurm/kimal/datasets... | 37.777778 | 83 | 0.779412 | MOUNT_PATH = "" # in case you are mounting data storage externally
SPLIT = 'training'
KITTI_WORK_DIR = "./"
KITTI_DATA_DIR = "../input/kitti-3d-object-detection-dataset"
NUSCENES_WORK_DIR = MOUNT_PATH + "/storage/slurm/kimal/eagermot_workspace/nuscenes"
NUSCENES_DATA_DIR = MOUNT_PATH + "/storage/slurm/kimal/datasets... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
86159c4cd3091b817a2ba5bb813ab8ddb70374f0 | 12,566 | py | Python | src/prism-fruit/Games-DQL/examples/games/car/networkx/algorithms/isomorphism/matchhelpers.py | kushgrover/apt-vs-dift | 250f64e6c442f6018cab65ec6979d9568a842f57 | [
"MIT"
] | null | null | null | src/prism-fruit/Games-DQL/examples/games/car/networkx/algorithms/isomorphism/matchhelpers.py | kushgrover/apt-vs-dift | 250f64e6c442f6018cab65ec6979d9568a842f57 | [
"MIT"
] | null | null | null | src/prism-fruit/Games-DQL/examples/games/car/networkx/algorithms/isomorphism/matchhelpers.py | kushgrover/apt-vs-dift | 250f64e6c442f6018cab65ec6979d9568a842f57 | [
"MIT"
] | null | null | null | """Functions which help end users define customize node_match and
edge_match functions to use during isomorphism checks.
"""
from itertools import permutations
import types
import networkx as nx
__all__ = ['categorical_node_match',
'categorical_edge_match',
'categorical_multiedge_match',... | 36.213256 | 87 | 0.614993 | """Functions which help end users define customize node_match and
edge_match functions to use during isomorphism checks.
"""
from itertools import permutations
import types
import networkx as nx
__all__ = ['categorical_node_match',
'categorical_edge_match',
'categorical_multiedge_match',... | 0 | 0 | 0 | 0 | 0 | 4,777 | 0 | 0 | 187 |
0fecc9d9f31301ad24bcca0b4ce46445f90eacb9 | 2,471 | py | Python | xyzspaces/exceptions.py | isaac-philip/xyz-spaces-python | 67b06efdc4a76934c54c1a828087a27cad26aa5d | [
"Apache-2.0"
] | 1 | 2021-02-20T10:14:36.000Z | 2021-02-20T10:14:36.000Z | xyzspaces/exceptions.py | GhostUser/xyz-spaces-python | 646aaa74a180871318f3e9aa12acc8e25a1f3b33 | [
"Apache-2.0"
] | null | null | null | xyzspaces/exceptions.py | GhostUser/xyz-spaces-python | 646aaa74a180871318f3e9aa12acc8e25a1f3b33 | [
"Apache-2.0"
] | null | null | null | # Copyright (C) 2019-2020 HERE Europe B.V.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | 33.391892 | 80 | 0.673007 | # Copyright (C) 2019-2020 HERE Europe B.V.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | 0 | 0 | 0 | 1,699 | 0 | 0 | 0 | 0 | 69 |
6d88e4a24d0a05e8b054112c932ce362d81cabbe | 7,811 | py | Python | neutron_lbaas_dashboard/dashboards/project/loadbalancersv2/workflows/update_lb.py | mail2nsrajesh/neutron-lbaas-dashboard | 789e7cea2d949960114754614a63c4a4ef2f0c11 | [
"Apache-2.0"
] | null | null | null | neutron_lbaas_dashboard/dashboards/project/loadbalancersv2/workflows/update_lb.py | mail2nsrajesh/neutron-lbaas-dashboard | 789e7cea2d949960114754614a63c4a4ef2f0c11 | [
"Apache-2.0"
] | null | null | null | neutron_lbaas_dashboard/dashboards/project/loadbalancersv2/workflows/update_lb.py | mail2nsrajesh/neutron-lbaas-dashboard | 789e7cea2d949960114754614a63c4a4ef2f0c11 | [
"Apache-2.0"
] | null | null | null | # Copyright 2015, eBay Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 40.682292 | 79 | 0.547433 | # Copyright 2015, eBay Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 0 | 0 | 0 | 6,821 | 0 | 0 | 0 | 49 | 236 |
82b8b737fabe070987bf8bb0715e662f67642ee9 | 40,874 | py | Python | BootloaderCorePkg/Tools/CfgDataTool.py | liux2085/slimbootloader | 24a16ac20eb86b64135843074f9a85d6e60ab54a | [
"BSD-2-Clause-NetBSD",
"PSF-2.0",
"BSD-2-Clause",
"Apache-2.0",
"MIT",
"BSD-2-Clause-Patent"
] | 1 | 2021-12-30T17:05:53.000Z | 2021-12-30T17:05:53.000Z | BootloaderCorePkg/Tools/CfgDataTool.py | liux2085/slimbootloader | 24a16ac20eb86b64135843074f9a85d6e60ab54a | [
"BSD-2-Clause-NetBSD",
"PSF-2.0",
"BSD-2-Clause",
"Apache-2.0",
"MIT",
"BSD-2-Clause-Patent"
] | null | null | null | BootloaderCorePkg/Tools/CfgDataTool.py | liux2085/slimbootloader | 24a16ac20eb86b64135843074f9a85d6e60ab54a | [
"BSD-2-Clause-NetBSD",
"PSF-2.0",
"BSD-2-Clause",
"Apache-2.0",
"MIT",
"BSD-2-Clause-Patent"
] | null | null | null | ## @ CfgDataTool.py
#
# Copyright (c) 2017 - 2020, Intel Corporation. All rights reserved.<BR>
# SPDX-License-Identifier: BSD-2-Clause-Patent
#
##
import sys
sys.dont_write_bytecode = True
CFGDATA_INT_GUID = b'\xD0\x6C\x6E\x01\x34\x48\x7E\x4C\xBC\xFE\x41\xDF\xB8\x8A\x6A\x6D'
if __name__ == '__main__':
sys.exi... | 42.844864 | 261 | 0.589103 | ## @ CfgDataTool.py
#
# Copyright (c) 2017 - 2020, Intel Corporation. All rights reserved.<BR>
# SPDX-License-Identifier: BSD-2-Clause-Patent
#
##
import sys
import collections
sys.dont_write_bytecode = True
from IfwiUtility import *
from CommonUtility import *
CFGDATA_INT_GUID = b'\xD0\x6C\x6E\x01\x34\x48\x7E\x4... | 0 | 0 | 0 | 20,950 | 0 | 19,310 | 0 | 11 | 273 |
4c3038da2879a528c4bde532c6d49541704ed5cb | 1,182 | py | Python | src/eve_utils/skel/win-svc/win_service.py | pointw-dev/eve-utils | 2af7d28232e0d22975cc8141fda27a3870694223 | [
"MIT"
] | null | null | null | src/eve_utils/skel/win-svc/win_service.py | pointw-dev/eve-utils | 2af7d28232e0d22975cc8141fda27a3870694223 | [
"MIT"
] | null | null | null | src/eve_utils/skel/win-svc/win_service.py | pointw-dev/eve-utils | 2af7d28232e0d22975cc8141fda27a3870694223 | [
"MIT"
] | null | null | null | import win32serviceutil
if __name__ == '__main__':
win32serviceutil.HandleCommandLine(EveWindowsService)
| 31.945946 | 107 | 0.709814 | import win32serviceutil
import win32service
import win32event
import servicemanager
from eve_service import EveService
class EveWindowsService(win32serviceutil.ServiceFramework):
_svc_name_ = "{$project_name}"
_svc_display_name_ = "{$project_name} API"
# _svc_description_ = "Service description goes here... | 0 | 0 | 0 | 951 | 0 | 0 | 0 | 7 | 112 |
711ca7392e0cd8dddd20d6ed9ebbcc510f934cf0 | 212 | py | Python | dyrapy/tests/test_load_ouvidoria.py | rafasgj/dyrapy | 14e1af5ee05c98e2e2aaf0e5c58525161a19e81c | [
"BSD-3-Clause"
] | null | null | null | dyrapy/tests/test_load_ouvidoria.py | rafasgj/dyrapy | 14e1af5ee05c98e2e2aaf0e5c58525161a19e81c | [
"BSD-3-Clause"
] | 15 | 2020-12-10T17:56:13.000Z | 2020-12-24T20:45:56.000Z | dyrapy/tests/test_load_ouvidoria.py | rafasgj/dyrapy | 14e1af5ee05c98e2e2aaf0e5c58525161a19e81c | [
"BSD-3-Clause"
] | 1 | 2021-01-10T23:46:22.000Z | 2021-01-10T23:46:22.000Z | # Copyright (c) 2020 Marco Mangan <marco.mangan@gmail.com>
# License: BSD 3 clause
| 21.2 | 58 | 0.745283 | # Copyright (c) 2020 Marco Mangan <marco.mangan@gmail.com>
# License: BSD 3 clause
from dyrapy.datasets import load_ouvidoria
def test_load_ouvidoria():
data = load_ouvidoria()
assert data is not None
| 0 | 0 | 0 | 0 | 0 | 61 | 0 | 21 | 46 |
c2f1ebc02477d71494c8090daa7cd99f87a2a44c | 3,698 | py | Python | tests/test_core.py | beasteers/tflit | 4fec6255c9fc6d406ec4df3df70dfc282eca0c46 | [
"MIT"
] | 7 | 2020-11-22T08:08:56.000Z | 2022-03-18T13:00:43.000Z | tests/test_core.py | beasteers/tflit | 4fec6255c9fc6d406ec4df3df70dfc282eca0c46 | [
"MIT"
] | 2 | 2021-07-06T07:56:30.000Z | 2021-10-05T21:11:21.000Z | tests/test_core.py | beasteers/tflit | 4fec6255c9fc6d406ec4df3df70dfc282eca0c46 | [
"MIT"
] | 2 | 2020-12-06T19:33:47.000Z | 2021-03-11T11:34:56.000Z | import os
model_dir = os.path.join(os.path.dirname(__file__), 'models')
model_file = os.path.join(model_dir, '{}.tflite')
model_info_file = os.path.join(model_dir, '{}.json')
# Utilities
| 31.606838 | 104 | 0.688751 | import os
import glob
import json
import tflit
import pytest
import numpy as np
model_dir = os.path.join(os.path.dirname(__file__), 'models')
model_file = os.path.join(model_dir, '{}.tflite')
model_info_file = os.path.join(model_dir, '{}.json')
@pytest.mark.parametrize('name', [
os.path.splitext(os.path.basena... | 0 | 3,025 | 0 | 0 | 100 | 213 | 0 | -40 | 202 |
7a7b2acdee66b15f486f0fa8d28ad92cce760ee9 | 518 | py | Python | game.py | chirag1992m/AdversarialShortestPathGame | 0af125eb17aa3c4587a314486e9a6854c771e119 | [
"MIT"
] | 2 | 2017-10-01T11:05:12.000Z | 2017-10-05T22:36:29.000Z | game.py | chirag1992m/AdversarialShortestPathGame | 0af125eb17aa3c4587a314486e9a6854c771e119 | [
"MIT"
] | null | null | null | game.py | chirag1992m/AdversarialShortestPathGame | 0af125eb17aa3c4587a314486e9a6854c771e119 | [
"MIT"
] | null | null | null | import argparse
from core.game_looper import GameLooper
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Run the Adversarial Game Server.")
parser.add_argument('--port', '--p', type=int, default=8080, help='Port to run the server on')
parser.add_argument('--game-file', default='sa... | 32.375 | 98 | 0.677606 | import argparse
from core.game_looper import GameLooper
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Run the Adversarial Game Server.")
parser.add_argument('--port', '--p', type=int, default=8080, help='Port to run the server on')
parser.add_argument('--game-file', default='sa... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
19626e7eeaefb2748ef981d8cb658a323ff5ccdd | 11,615 | py | Python | lib_auth.py | kwinkunks/modelr_app | 3ada397e562b5c7e43048b3fa4b632bad9ab1dda | [
"Apache-2.0"
] | null | null | null | lib_auth.py | kwinkunks/modelr_app | 3ada397e562b5c7e43048b3fa4b632bad9ab1dda | [
"Apache-2.0"
] | null | null | null | lib_auth.py | kwinkunks/modelr_app | 3ada397e562b5c7e43048b3fa4b632bad9ab1dda | [
"Apache-2.0"
] | 1 | 2020-06-29T05:06:10.000Z | 2020-06-29T05:06:10.000Z | """
Functions related user logins, signups, password authentications,
logouts, etc ...
"""
from lib_db import User, UserID, Group, VerifyUser
from google.appengine.api import mail
import hashlib
import random
import re
import string
import stripe
PASS_RE = re.compile(r"^.{3,20}$")
EMAIL_RE = re.compile(r"^[\S]+@[\S]+\... | 27.920673 | 109 | 0.606974 | """
Functions related user logins, signups, password authentications,
logouts, etc ...
"""
from lib_db import User, UserID, Group, VerifyUser
from google.appengine.api import mail
import hashlib
import random
import re
import string
import stripe
PASS_RE = re.compile(r"^.{3,20}$")
EMAIL_RE = re.compile(r"^[\S]+@[\S]+\... | 0 | 0 | 0 | 73 | 0 | 912 | 0 | 0 | 98 |
c50c7e581651abdcce05c979c772b57ce8ec489d | 689 | py | Python | MODBUS_RTU_3.py | pratikgharte/Python_GUI_EC_PH | 5dd6a166ffc59a55a45e711481261644879a3d8a | [
"MIT"
] | null | null | null | MODBUS_RTU_3.py | pratikgharte/Python_GUI_EC_PH | 5dd6a166ffc59a55a45e711481261644879a3d8a | [
"MIT"
] | null | null | null | MODBUS_RTU_3.py | pratikgharte/Python_GUI_EC_PH | 5dd6a166ffc59a55a45e711481261644879a3d8a | [
"MIT"
] | null | null | null | from pymodbus.client.sync import ModbusSerialClient
client = ModbusSerialClient(
method='rtu',
port='/dev/ttyS0',
baudrate=9600,
timeout=3,
parity='N',
stopbits=1,
bytesize=8
)
if client.connect(): # Trying for connect to Modbus Server/Slave
'''Reading from a holding register with the... | 26.5 | 67 | 0.674891 | from pymodbus.client.sync import ModbusSerialClient
client = ModbusSerialClient(
method='rtu',
port='/dev/ttyS0',
baudrate=9600,
timeout=3,
parity='N',
stopbits=1,
bytesize=8
)
if client.connect(): # Trying for connect to Modbus Server/Slave
'''Reading from a holding register with the... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1b04120573fe644b3ee867b0c0f0d3fb5ecc57f5 | 74,685 | py | Python | subject/tests/integration/legacy_functional/test_v1_api.py | laoyigrace/subject | e6ed989fdc250917a19788112b22322b73b3550f | [
"Apache-2.0"
] | null | null | null | subject/tests/integration/legacy_functional/test_v1_api.py | laoyigrace/subject | e6ed989fdc250917a19788112b22322b73b3550f | [
"Apache-2.0"
] | null | null | null | subject/tests/integration/legacy_functional/test_v1_api.py | laoyigrace/subject | e6ed989fdc250917a19788112b22322b73b3550f | [
"Apache-2.0"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# d... | 43.070934 | 83 | 0.581255 | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# d... | 0 | 0 | 0 | 73,725 | 0 | 0 | 0 | 63 | 247 |
da4c3a059b82cec21a272172a71fea3e27b71ddf | 14,056 | py | Python | runexp.py | behzadhaghgoo/roper | c420f468d869c3a3ad3c6cc0b4dcb74049eba302 | [
"MIT"
] | null | null | null | runexp.py | behzadhaghgoo/roper | c420f468d869c3a3ad3c6cc0b4dcb74049eba302 | [
"MIT"
] | null | null | null | runexp.py | behzadhaghgoo/roper | c420f468d869c3a3ad3c6cc0b4dcb74049eba302 | [
"MIT"
] | null | null | null | import math
import torch
import torch.nn as nn
import torch.optim as optim
import torch.autograd as autograd
USE_CUDA = torch.cuda.is_available()
Variable = lambda *args, **kwargs: autograd.Variable(*args, **kwargs).cuda() if USE_CUDA else autograd.Variable(*args, **kwargs)
beta_start = 0.4
beta_frames = 1000
BETA_B... | 36.509091 | 161 | 0.575982 | import random
import math
import numpy as np
import pandas as pd
import torch
import torch.nn as nn
import torch.optim as optim
import torch.autograd as autograd
from tqdm import tqdm
from ray.tune import run, Trainable, sample_from
from dqn import DQN, update_target
from loss import TDLoss, StableTDLoss
from pbuffer ... | 0 | 0 | 0 | 7,007 | 0 | 0 | 0 | 61 | 222 |
0ed859f4957ad6b26162065f01fc1831972bca3f | 2,517 | py | Python | tests/ions/test_quintic_spline.py | shankar1729/qimpy | 5a4c1ea1fedc88909d426ce54101d6d07fa82e8c | [
"BSD-3-Clause"
] | 3 | 2021-05-25T00:11:50.000Z | 2022-01-30T21:49:00.000Z | tests/ions/test_quintic_spline.py | shankar1729/qimpy | 5a4c1ea1fedc88909d426ce54101d6d07fa82e8c | [
"BSD-3-Clause"
] | 2 | 2021-09-28T19:18:38.000Z | 2021-11-23T13:23:17.000Z | tests/ions/test_quintic_spline.py | shankar1729/qimpy | 5a4c1ea1fedc88909d426ce54101d6d07fa82e8c | [
"BSD-3-Clause"
] | null | null | null | import qimpy as qp
import torch
def main():
"""Run test and additionally plot for visual inspection."""
import matplotlib.pyplot as plt
qp.utils.log_config()
qp.rc.init()
# Plot a single blip function for testing:
plt.figure()
coeff = torch.zeros(12)
coeff[5] = 1
t = torch.linsp... | 27.659341 | 84 | 0.564164 | import qimpy as qp
import torch
import pytest
@pytest.mark.mpi_skip
def test_interpolator():
def f_test(x):
"""Non-trivial test function with correct symmetries"""
return torch.exp(-torch.sin(0.01 * x * x)) * torch.cos(0.1 * x)
def f_test_prime(x):
"""Analytical derivative of above.""... | 0 | 1,023 | 0 | 0 | 0 | 0 | 0 | -8 | 45 |
19c9b4b16e51705aa897a6210e587cdfaf2db4bc | 285 | py | Python | TreeNode/models.py | huzing2524/myScripts | 3cf1cfe84bd911cf04ff5c557c8fd6420978bb21 | [
"MIT"
] | 2 | 2021-02-23T04:28:18.000Z | 2021-06-07T23:11:03.000Z | TreeNode/models.py | huzing2524/myScripts | 3cf1cfe84bd911cf04ff5c557c8fd6420978bb21 | [
"MIT"
] | null | null | null | TreeNode/models.py | huzing2524/myScripts | 3cf1cfe84bd911cf04ff5c557c8fd6420978bb21 | [
"MIT"
] | null | null | null |
# Create your models here.
| 25.909091 | 67 | 0.74386 | from django.db import models
# Create your models here.
class IndexTree(models.Model):
name = models.CharField(max_length=50, verbose_name='名称')
parent_id = models.IntegerField(null=True, verbose_name='父类id')
remark = models.CharField(max_length=50, verbose_name='备注')
| 18 | 0 | 0 | 197 | 0 | 0 | 0 | 7 | 45 |
bbb6c6787b96b5631dde0a84acddef3a760c2122 | 19,293 | py | Python | mamosa/synthetic/synthetic.py | sindrehenriksen/mamosa | 477131ff82550701753c1950128b3191ee37bebb | [
"MIT"
] | 1 | 2021-11-01T16:43:17.000Z | 2021-11-01T16:43:17.000Z | mamosa/synthetic/synthetic.py | sindrehenriksen/mamosa | 477131ff82550701753c1950128b3191ee37bebb | [
"MIT"
] | null | null | null | mamosa/synthetic/synthetic.py | sindrehenriksen/mamosa | 477131ff82550701753c1950128b3191ee37bebb | [
"MIT"
] | null | null | null | import scipy.stats
# TODO: Add support for horizons that "stop"/"vanish" (i.e. a layer is eroded).
| 39.616016 | 88 | 0.584616 | import numpy as np
import bruges
import scipy.stats
import scipy.linalg
import warnings
from scipy.ndimage import gaussian_filter
from typing import Tuple, Union, List, Optional, Callable, Any
# TODO: Add support for horizons that "stop"/"vanish" (i.e. a layer is eroded).
class SyntheticData:
"""Class for genera... | 0 | 1,637 | 0 | 17,358 | 0 | 0 | 0 | 42 | 155 |
72b783b94092542b07e16ea1a17cad1c4d010de7 | 2,046 | py | Python | Lib/encodings/iso8859_8.py | marcosptf/cpython-2.0.1 | 73c739a764e8b1dc84640e73b880bc66e1916bca | [
"PSF-2.0"
] | 5 | 2022-03-26T21:53:36.000Z | 2022-03-30T21:47:20.000Z | Lib/encodings/iso8859_8.py | marcosptf/cpython-2.0.1 | 73c739a764e8b1dc84640e73b880bc66e1916bca | [
"PSF-2.0"
] | 6 | 2020-11-18T15:48:14.000Z | 2021-05-03T21:20:50.000Z | Lib/encodings/iso8859_8.py | marcosptf/cpython-2.0.1 | 73c739a764e8b1dc84640e73b880bc66e1916bca | [
"PSF-2.0"
] | 2 | 2015-07-16T08:14:13.000Z | 2022-03-27T01:55:17.000Z | """ Python Character Mapping Codec generated from '8859-8.TXT'.
Written by Marc-Andre Lemburg (mal@lemburg.com).
(c) Copyright CNRI, All Rights Reserved. NO WARRANTY.
"""#"
### Codec APIs
### encodings module API
### Decoding Map
decoding_map = {
0x00aa: 0x00d7, # MULTIPLICATION SIGN
0x00af: 0x203e, # OVER... | 26.230769 | 68 | 0.709677 | """ Python Character Mapping Codec generated from '8859-8.TXT'.
Written by Marc-Andre Lemburg (mal@lemburg.com).
(c) Copyright CNRI, All Rights Reserved. NO WARRANTY.
"""#"
import codecs
### Codec APIs
class Codec(codecs.Codec):
def encode(self,input,errors='strict'):
return codecs.charmap_encode(i... | 0 | 0 | 0 | 301 | 0 | 67 | 0 | -8 | 123 |
cc3465e8b6a7b04d148b0d77d9ac749acd991189 | 4,161 | py | Python | simulated_uploaders/simulate_upload_rnaseq_fastq.py | BD2KGenomics/dcc-spinnaker-client | 72a6cb94a8db4be707cb1f63513b2f2712edb663 | [
"Apache-2.0"
] | null | null | null | simulated_uploaders/simulate_upload_rnaseq_fastq.py | BD2KGenomics/dcc-spinnaker-client | 72a6cb94a8db4be707cb1f63513b2f2712edb663 | [
"Apache-2.0"
] | 36 | 2016-11-21T17:05:18.000Z | 2020-10-12T15:19:52.000Z | simulated_uploaders/simulate_upload_rnaseq_fastq.py | BD2KGenomics/dcc-spinnaker-client | 72a6cb94a8db4be707cb1f63513b2f2712edb663 | [
"Apache-2.0"
] | 6 | 2016-12-12T19:37:13.000Z | 2021-10-10T21:24:54.000Z |
if __name__ == "__main__":
main()
| 62.104478 | 480 | 0.694545 | import argparse
import subprocess
import os
import time
import random
def getOptions():
parser = argparse.ArgumentParser(description='Directory that contains Json files.')
parser.add_argument("-f1", "--fastq-r1-path", default="https://s3.amazonaws.com/oconnor-test-bucket/sample-data/ERR030886_1.fastq.gz", he... | 0 | 0 | 0 | 0 | 0 | 4,006 | 0 | -40 | 156 |
3683ba322d5167e3d034bb48b5b53e0c6869da79 | 2,026 | py | Python | Python/tdw/FBOutput/EnvironmentColliderIntersection.py | ricklentz/tdw | da40eec151acae20b28d6486defb4358d96adb0e | [
"BSD-2-Clause"
] | null | null | null | Python/tdw/FBOutput/EnvironmentColliderIntersection.py | ricklentz/tdw | da40eec151acae20b28d6486defb4358d96adb0e | [
"BSD-2-Clause"
] | null | null | null | Python/tdw/FBOutput/EnvironmentColliderIntersection.py | ricklentz/tdw | da40eec151acae20b28d6486defb4358d96adb0e | [
"BSD-2-Clause"
] | null | null | null | # automatically generated by the FlatBuffers compiler, do not modify
# namespace: FBOutput
| 39.72549 | 163 | 0.715202 | # automatically generated by the FlatBuffers compiler, do not modify
# namespace: FBOutput
import tdw.flatbuffers
class EnvironmentColliderIntersection(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsEnvironmentColliderIntersection(cls, buf, offset):
n = tdw.flatbuffers.encode.Get(tdw.fl... | 0 | 238 | 0 | 1,114 | 0 | 424 | 0 | 1 | 157 |
2e03545e72140c8b2d853118bc5b211a21e8896e | 1,742 | py | Python | misc/zmqsnoop.py | brgirgis/pyzmqrpc3 | a93339f98686e7f695f7c8a19dac198e4fc56aab | [
"MIT"
] | null | null | null | misc/zmqsnoop.py | brgirgis/pyzmqrpc3 | a93339f98686e7f695f7c8a19dac198e4fc56aab | [
"MIT"
] | null | null | null | misc/zmqsnoop.py | brgirgis/pyzmqrpc3 | a93339f98686e7f695f7c8a19dac198e4fc56aab | [
"MIT"
] | null | null | null |
'''
Created on Apr 2014
Edited on Oct 2020
@author: Jan Verhoeven
@author: Bassem Girgis
@copyright: MIT license, see http://opensource.org/licenses/MIT
'''
import signal
import sys
# Handle OS signals (like keyboard interrupt)
signal.signal(signal.SIGINT, _signal_handler)
if __name__ == '__main__':
sy... | 21.775 | 73 | 0.619977 |
'''
Created on Apr 2014
Edited on Oct 2020
@author: Jan Verhoeven
@author: Bassem Girgis
@copyright: MIT license, see http://opensource.org/licenses/MIT
'''
import argparse
import signal
import sys
from typing import Optional, Tuple
import zmq
# Handle OS signals (like keyboard interrupt)
def _signal_handler(_... | 0 | 0 | 0 | 0 | 0 | 1,275 | 0 | -4 | 136 |
9b5f2a4b67b1ee2b3bd4b1a97fea1b31e9003769 | 2,038 | py | Python | T28_batch_ui.py | NathanMacDiarmid/ECOR-1051-Project | fae9e274ef57a29af511131908dcfb85e791af9a | [
"Unlicense"
] | null | null | null | T28_batch_ui.py | NathanMacDiarmid/ECOR-1051-Project | fae9e274ef57a29af511131908dcfb85e791af9a | [
"Unlicense"
] | null | null | null | T28_batch_ui.py | NathanMacDiarmid/ECOR-1051-Project | fae9e274ef57a29af511131908dcfb85e791af9a | [
"Unlicense"
] | null | null | null | # Submitted April 2, 2020
# Team 28:
# Nathan MacDiarmid 101098993
# Anita Ntomchukwu 101138391
# Sam Hurd 101146639
# Yahya Shah 101169280
# MILESTONE 3
# IMPORTS
# DEFINITIONS
def execute_filter(command: tuple) -> Image:
"""
Returns an image with the filters applied that are found in the batch file.
... | 22.395604 | 79 | 0.609421 | # Submitted April 2, 2020
# Team 28:
# Nathan MacDiarmid 101098993
# Anita Ntomchukwu 101138391
# Sam Hurd 101146639
# Yahya Shah 101169280
# MILESTONE 3
# IMPORTS
from T28_image_filters import *
from Cimpl import *
# DEFINITIONS
def execute_filter(command: tuple) -> Image:
"""
Returns an image with the fi... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 45 |
88dc25a7bff37aeba8e20d34161d9fc923acd8ac | 544 | py | Python | python/p003.py | livioribeiro/project-euler | 71f915b1ddad90c3a5b805cad7047cd6e4ce64ed | [
"MIT"
] | 2 | 2015-12-16T18:39:23.000Z | 2015-12-19T03:49:07.000Z | python/p003.py | livioribeiro/project-euler | 71f915b1ddad90c3a5b805cad7047cd6e4ce64ed | [
"MIT"
] | null | null | null | python/p003.py | livioribeiro/project-euler | 71f915b1ddad90c3a5b805cad7047cd6e4ce64ed | [
"MIT"
] | null | null | null | """
The prime factors of 13195 are 5, 7, 13 and 29.
What is the largest prime factor of the number 600851475143?
"""
import math
INPUT = 600851475143
if __name__ == '__main__':
for i in range(math.ceil(math.sqrt(INPUT)), 1, -2):
if INPUT % i == 0 and is_prime(i):
print(i)
break
| 18.758621 | 60 | 0.558824 | """
The prime factors of 13195 are 5, 7, 13 and 29.
What is the largest prime factor of the number 600851475143?
"""
import math
def is_prime(num):
if num <= 2:
return True
if num % 2 == 0:
return False
for i in range(3, math.ceil(math.sqrt(num)) + 1, 2):
if num % i == 0:
... | 0 | 0 | 0 | 0 | 0 | 202 | 0 | 0 | 23 |
cbbe64b49ba07940c302c5be1b82d33d7e5ea708 | 3,841 | py | Python | gpn/models/matern_ggp.py | WodkaRHR/Graph-Posterior-Network | 139e7c45c37324c9286e0cca60360a4978b3f411 | [
"MIT"
] | 23 | 2021-11-16T01:31:55.000Z | 2022-03-04T05:49:03.000Z | gpn/models/matern_ggp.py | WodkaRHR/Graph-Posterior-Network | 139e7c45c37324c9286e0cca60360a4978b3f411 | [
"MIT"
] | 1 | 2021-12-17T01:25:16.000Z | 2021-12-20T10:38:30.000Z | gpn/models/matern_ggp.py | WodkaRHR/Graph-Posterior-Network | 139e7c45c37324c9286e0cca60360a4978b3f411 | [
"MIT"
] | 7 | 2021-12-03T11:13:44.000Z | 2022-02-06T03:12:10.000Z | import tensorflow as tf
import gpflow
gpflow.config.set_default_float(tf.float64)
gpflow.config.set_default_summary_fmt("notebook")
tf.get_logger().setLevel('ERROR')
| 36.580952 | 106 | 0.660505 | from typing import Tuple
import torch
import os
import tensorflow as tf
import networkx as nx
import scipy as sp
import numpy as np
import torch_geometric.utils as tu
from torch_geometric.data import Data
import gpflow
from gpn.utils import ModelConfiguration
from .gpflow_gpp import GPFLOWGGP
from .matern_ggp_utils i... | 0 | 0 | 0 | 3,308 | 0 | 0 | 0 | 98 | 267 |
5c8bbe5f5e6b002ce0ad5bbf441e36d1ceb4eeb0 | 3,664 | py | Python | analytics_utils/autocorrelation.py | patricksferraz/analytics-utils | 3b083e1d5eec9825bddf536d1f05db0643b2a710 | [
"MIT"
] | 1 | 2019-08-14T02:41:55.000Z | 2019-08-14T02:41:55.000Z | analytics_utils/autocorrelation.py | patricksferraz/analytics-utils | 3b083e1d5eec9825bddf536d1f05db0643b2a710 | [
"MIT"
] | null | null | null | analytics_utils/autocorrelation.py | patricksferraz/analytics-utils | 3b083e1d5eec9825bddf536d1f05db0643b2a710 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
This is the find module.
The find module supplies one function,
autocorrelation()
"""
from statsmodels.tsa.stattools import acf
import pandas as pd
def autocorrelation(
data_frame: pd.DataFrame,
unbiased: bool = False,
nlags: int = 40,
fft: bool = None,
alpha: floa... | 26.550725 | 77 | 0.567959 | # -*- coding: utf-8 -*-
"""
This is the find module.
The find module supplies one function,
autocorrelation()
"""
from statsmodels.tsa.stattools import acf
import pandas as pd
def autocorrelation(
data_frame: pd.DataFrame,
unbiased: bool = False,
nlags: int = 40,
fft: bool = None,
alpha: floa... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ebfc27beaee1b32063685d09cce85b000da8edf1 | 431 | py | Python | Ex029.py | raphaeltertuliano/Python | ffa9813aaa13ccca807f7c08be9489a2d88d3d62 | [
"MIT"
] | 1 | 2021-11-23T21:38:46.000Z | 2021-11-23T21:38:46.000Z | Ex029.py | raphaeltertuliano/Python | ffa9813aaa13ccca807f7c08be9489a2d88d3d62 | [
"MIT"
] | null | null | null | Ex029.py | raphaeltertuliano/Python | ffa9813aaa13ccca807f7c08be9489a2d88d3d62 | [
"MIT"
] | null | null | null | #Escreva um progrma que leia a velocidade de um carro.
#Se ele ultrapassar 80Km/h, mostre um mensagem de que ele foi multado
#A multa vai custar R$7,00 por cada Km acima do limite.
v = float(input('Velocidade do carro: '))
if v <= 80:
print('Dentro do limite de velocidade. Boa viagem')
else:
print(f'Velocidade... | 35.916667 | 69 | 0.677494 | #Escreva um progrma que leia a velocidade de um carro.
#Se ele ultrapassar 80Km/h, mostre um mensagem de que ele foi multado
#A multa vai custar R$7,00 por cada Km acima do limite.
v = float(input('Velocidade do carro: '))
if v <= 80:
print('Dentro do limite de velocidade. Boa viagem')
else:
print(f'Velocidade... | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5dce94849acc5a2df23e97ba2c96d11861c4c527 | 455 | py | Python | Python/middle-of-the-linked-list.py | Ravan339/LeetCode | 4276e562aa67e4c39cd92be5d2d6700a9465a579 | [
"MIT"
] | 4 | 2019-12-09T20:23:17.000Z | 2021-11-24T08:59:21.000Z | Python/middle-of-the-linked-list.py | Ravan339/LeetCode | 4276e562aa67e4c39cd92be5d2d6700a9465a579 | [
"MIT"
] | null | null | null | Python/middle-of-the-linked-list.py | Ravan339/LeetCode | 4276e562aa67e4c39cd92be5d2d6700a9465a579 | [
"MIT"
] | 9 | 2020-03-15T23:32:26.000Z | 2022-02-25T05:51:26.000Z | # https://leetcode.com/problems/middle-of-the-linked-list/
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
| 19.782609 | 58 | 0.531868 | # https://leetcode.com/problems/middle-of-the-linked-list/
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def middleNode(self, head):
"""
:type head: ListNode
:rtype: ListNode
""... | 0 | 0 | 0 | 237 | 0 | 0 | 0 | 0 | 23 |
bda2a5e2ce26d03c188538f3c96972517acbd7d7 | 1,723 | py | Python | tests/test_field_amount.py | BitySA/swissdta | 046f466610e1197eea1e04683085b7008898c93a | [
"MIT"
] | null | null | null | tests/test_field_amount.py | BitySA/swissdta | 046f466610e1197eea1e04683085b7008898c93a | [
"MIT"
] | 3 | 2017-10-21T08:45:01.000Z | 2021-06-02T00:16:43.000Z | tests/test_field_amount.py | BitySA/swissdta | 046f466610e1197eea1e04683085b7008898c93a | [
"MIT"
] | 2 | 2017-10-20T09:45:52.000Z | 2018-12-03T16:00:40.000Z | """Tests for the Amount field"""
FIELD_LENGTH = 8
| 30.22807 | 64 | 0.612304 | """Tests for the Amount field"""
from decimal import Decimal
import pytest
from swissdta.fields import Amount
from swissdta.records.record import DTARecord
FIELD_LENGTH = 8
class ARecord(DTARecord):
"""Subclass of DTARecord for testing the Numeric field"""
field = Amount(length=FIELD_LENGTH)
@pytest.mar... | 0 | 1,368 | 0 | 106 | 0 | 0 | 0 | 35 | 160 |
ce2e8e0ca9f87c9bcb289954d8f5c250c1e39f69 | 3,064 | py | Python | src/scripts/ct.py | xuanxiaoliqu/CRC4Docker | 5ee26f9a590b727693202d8ad3b6460970304bd9 | [
"MIT"
] | 1 | 2020-10-26T12:02:08.000Z | 2020-10-26T12:02:08.000Z | src/scripts/ct.py | TonyZPW/CRC4Docker | e52a6e88d4469284a071c0b96d009f6684dbb2ea | [
"MIT"
] | null | null | null | src/scripts/ct.py | TonyZPW/CRC4Docker | e52a6e88d4469284a071c0b96d009f6684dbb2ea | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#******************************************************************************
# Name: ct.py
# Purpose: determine classification accuracy and contingency table
# from test data
# Usage:
# python ct.py
#
# Copyright (c) 2018, Mort Canty
if __name__ ==... | 31.265306 | 79 | 0.465731 | #!/usr/bin/env python
#******************************************************************************
# Name: ct.py
# Purpose: determine classification accuracy and contingency table
# from test data
# Usage:
# python ct.py
#
# Copyright (c) 2018, Mort Canty
import numpy as np
impo... | 0 | 165 | 0 | 0 | 0 | 2,447 | 0 | -10 | 114 |
2d974f6f2e2ec53dacc65c4d74b242efd37bc595 | 2,085 | py | Python | botcommands/morbidity.py | pastorhudson/mtb-pykeybasebot | af977f5823b178c91fb870058369f8a65205f7d6 | [
"BSD-3-Clause"
] | null | null | null | botcommands/morbidity.py | pastorhudson/mtb-pykeybasebot | af977f5823b178c91fb870058369f8a65205f7d6 | [
"BSD-3-Clause"
] | null | null | null | botcommands/morbidity.py | pastorhudson/mtb-pykeybasebot | af977f5823b178c91fb870058369f8a65205f7d6 | [
"BSD-3-Clause"
] | null | null | null | import gspread
import pandas as pd
from datetime import datetime
import os
import json
# print(os.environ.get('google_p_key'))
credentials = json.loads(os.environ.get('google_p_key'))
gc = gspread.service_account_from_dict(credentials)
sh = gc.open_by_key("1b9o6uDO18sLxBqPwl_Gh9bnhW-ev_dABH83M5Vb5L8o")
worksheet =... | 30.661765 | 84 | 0.656595 | import gspread
import pandas as pd
from datetime import datetime
import os
import json
# print(os.environ.get('google_p_key'))
credentials = json.loads(os.environ.get('google_p_key'))
gc = gspread.service_account_from_dict(credentials)
sh = gc.open_by_key("1b9o6uDO18sLxBqPwl_Gh9bnhW-ev_dABH83M5Vb5L8o")
worksheet =... | 0 | 0 | 0 | 0 | 0 | 1,343 | 0 | 0 | 69 |
6252e057a7f774fa6c73d66594dcda75d9fbb137 | 689 | py | Python | MetaheuristicOptimization/Assignment2/TEST/NQUEENS_CODE_AND_DATA/convert.py | bhattacharjee/ml-assignments | 631492b1f1aa1ace5365abfa7fec9c187e99d28a | [
"MIT"
] | null | null | null | MetaheuristicOptimization/Assignment2/TEST/NQUEENS_CODE_AND_DATA/convert.py | bhattacharjee/ml-assignments | 631492b1f1aa1ace5365abfa7fec9c187e99d28a | [
"MIT"
] | null | null | null | MetaheuristicOptimization/Assignment2/TEST/NQUEENS_CODE_AND_DATA/convert.py | bhattacharjee/ml-assignments | 631492b1f1aa1ace5365abfa7fec9c187e99d28a | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import sys
filename = sys.argv[1]
out_filename = filename[:-3] + "csv"
with open(filename, "r", encoding='utf-16le') as inputFile:
with open(out_filename, "w") as outputFile:
lines = [line.strip() for line in inputFile.readlines()]
lines = [line[2:] for line in lines if line.st... | 28.708333 | 68 | 0.596517 | #!/usr/bin/python3
import sys
filename = sys.argv[1]
out_filename = filename[:-3] + "csv"
with open(filename, "r", encoding='utf-16le') as inputFile:
with open(out_filename, "w") as outputFile:
lines = [line.strip() for line in inputFile.readlines()]
lines = [line[2:] for line in lines if line.st... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0782aa9b1306a84d232eb6fb81a8e64dd65ec477 | 1,039 | py | Python | cli/iotexetl/utils/iotex_utils.py | blockchain-etl/iotex-etl | bd350c3190acac35d17532eff383e05d08011e24 | [
"MIT"
] | 3 | 2020-07-04T13:53:38.000Z | 2020-07-30T15:07:35.000Z | cli/iotexetl/utils/iotex_utils.py | blockchain-etl/iotex-etl | bd350c3190acac35d17532eff383e05d08011e24 | [
"MIT"
] | 13 | 2020-07-16T06:07:33.000Z | 2020-08-20T10:35:10.000Z | cli/iotexetl/utils/iotex_utils.py | blockchain-etl/iotex-etl | bd350c3190acac35d17532eff383e05d08011e24 | [
"MIT"
] | 1 | 2021-01-20T10:06:20.000Z | 2021-01-20T10:06:20.000Z | from eth_hash.auto import keccak as keccak_256
DEFAULT_ADDRESS_PREFIX = 'io'
def pubkey_to_address(pubkey, prefix=None):
"""This implements the algorithm described here https://github.com/iotexproject/iotex-address"""
if prefix is None:
prefix = DEFAULT_ADDRESS_PREFIX
if pubkey is None or len(p... | 27.342105 | 100 | 0.732435 | import bech32
from eth_hash.auto import keccak as keccak_256
DEFAULT_ADDRESS_PREFIX = 'io'
def set_iotex_utils_context(address_prefix):
global DEFAULT_ADDRESS_PREFIX
DEFAULT_ADDRESS_PREFIX = address_prefix
def pubkey_to_address(pubkey, prefix=None):
"""This implements the algorithm described here https... | 0 | 0 | 0 | 0 | 0 | 415 | 0 | -8 | 91 |
297572fc491a36c41352e325663d421d04d40933 | 177 | py | Python | Python/src/util/data.py | LN-STEMpunks/VexBot | f7bebe01ab35686cab92b8c2035d32f8f8372d64 | [
"RSA-MD"
] | null | null | null | Python/src/util/data.py | LN-STEMpunks/VexBot | f7bebe01ab35686cab92b8c2035d32f8f8372d64 | [
"RSA-MD"
] | null | null | null | Python/src/util/data.py | LN-STEMpunks/VexBot | f7bebe01ab35686cab92b8c2035d32f8f8372d64 | [
"RSA-MD"
] | null | null | null | """
Input and output data
"""
from networktables import NetworkTables
import logging
logging.basicConfig(level=logging.DEBUG)
SD = NetworkTables.getTable("SmartDashboard")
| 13.615385 | 45 | 0.785311 | """
Input and output data
"""
from networktables import NetworkTables
import logging
logging.basicConfig(level=logging.DEBUG)
SD = NetworkTables.getTable("SmartDashboard")
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3cb80b80af56503f39e62a6900fb4e57018aac52 | 2,096 | py | Python | NetTtest/res.py | FoyerSociety/QPC-SESAME | 7512f9e038f7fb6070c40783f4b7bda812eb419b | [
"Unlicense"
] | 1 | 2019-06-16T06:13:43.000Z | 2019-06-16T06:13:43.000Z | NetTtest/res.py | FoyerSociety/QPC-SESAME | 7512f9e038f7fb6070c40783f4b7bda812eb419b | [
"Unlicense"
] | null | null | null | NetTtest/res.py | FoyerSociety/QPC-SESAME | 7512f9e038f7fb6070c40783f4b7bda812eb419b | [
"Unlicense"
] | null | null | null | import time
listc = []
lists = []
print('debut')
x = time.time()
p1 = Find(1,50)
p2 = Find(50,100)
p3 = Find(100, 150)
p4 = Find(150,200)
p1.start()
p2.start()
p3.start()
p4.start()
for i in range(200, 250):
print(time.time() - x , 's :', f'192.168.8.{i}')
rep, non_rep = sr(IP(dst=f'192.168.8.{i}') / ICMP... | 29.942857 | 122 | 0.435115 | import time, threading
from scapy.all import *
listc = []
lists = []
print('debut')
x = time.time()
class Find(threading.Thread):
def __init__(self, a, b):
self.a = a
self.b = b
threading.Thread.__init__(self)
def search(self, a, b):
global listc
for i in range(a, ... | 0 | 0 | 0 | 1,229 | 0 | 0 | 0 | 13 | 45 |
347fe3f18ce0feef76ca7424f649fe2df32a9534 | 2,825 | py | Python | taco/test/test_bedgraph.py | tacorna/taco | eeaeb879b8622365123edbc61ebc100d84194b80 | [
"MIT"
] | 22 | 2016-04-03T16:30:54.000Z | 2022-03-07T23:01:08.000Z | taco/test/test_bedgraph.py | tacorna/taco | eeaeb879b8622365123edbc61ebc100d84194b80 | [
"MIT"
] | 18 | 2016-04-10T15:33:09.000Z | 2022-02-06T15:53:25.000Z | taco/test/test_bedgraph.py | tacorna/taco | eeaeb879b8622365123edbc61ebc100d84194b80 | [
"MIT"
] | 5 | 2016-11-23T22:26:00.000Z | 2021-06-09T11:23:20.000Z | '''
TACO: Multi-sample transcriptome assembly from RNA-Seq
'''
| 27.427184 | 71 | 0.647788 | '''
TACO: Multi-sample transcriptome assembly from RNA-Seq
'''
import os
import cStringIO
import timeit
import numpy as np
from taco.lib.dtypes import FLOAT_DTYPE
from taco.lib.bedgraph import array_to_bedgraph, bedgraph_to_array
from taco.lib.cbedgraph import array_to_bedgraph as c_array_to_bedgraph
def write_and_r... | 0 | 0 | 0 | 0 | 0 | 2,330 | 0 | 85 | 339 |
823d5ccd7f4b25190eae376bdf8bf96d5298b941 | 6,202 | py | Python | loaders.py | singleswitch/ticker | 1e793316f2a3252d80339a69672ad81df550875d | [
"MIT"
] | null | null | null | loaders.py | singleswitch/ticker | 1e793316f2a3252d80339a69672ad81df550875d | [
"MIT"
] | 1 | 2018-11-06T09:30:23.000Z | 2018-11-06T09:30:23.000Z | loaders.py | singleswitch/ticker | 1e793316f2a3252d80339a69672ad81df550875d | [
"MIT"
] | 1 | 2019-01-23T14:46:11.000Z | 2019-01-23T14:46:11.000Z |
"""* This file contains everything that has to be loaded from lookuptables e.g., the sound file lengths, the alphabet etc
* Lookuptables stored in files, all depend on a root directory""" | 45.270073 | 204 | 0.632215 |
import numpy as np
import cPickle
"""* This file contains everything that has to be loaded from lookuptables e.g., the sound file lengths, the alphabet etc
* Lookuptables stored in files, all depend on a root directory"""
class FileLoader():
def __init__(self , i_root_dir):
self.setRootDir(i_root_dir... | 0 | 0 | 0 | 5,848 | 0 | 0 | 0 | -10 | 172 |
d257ca048420318e5eb15a7666e242097d2ed7a8 | 394 | py | Python | server.py | michaelrbock/hackers-job-apply | c5f6c26046946316067897cf9ab9b5e6d7310e8a | [
"MIT"
] | 20 | 2015-05-28T20:08:55.000Z | 2020-10-12T21:51:12.000Z | server.py | michaelrbock/hackers-job-apply | c5f6c26046946316067897cf9ab9b5e6d7310e8a | [
"MIT"
] | null | null | null | server.py | michaelrbock/hackers-job-apply | c5f6c26046946316067897cf9ab9b5e6d7310e8a | [
"MIT"
] | 5 | 2016-02-16T13:54:04.000Z | 2020-06-26T18:50:22.000Z | from flask import Flask
app = Flask(__name__)
if __name__ == "__main__":
app.run(debug=True)
| 23.176471 | 109 | 0.64467 | import os
from flask import Flask, request
app = Flask(__name__)
@app.route('/', methods=["GET", "POST"])
def index():
if request.json and request.json.get("answer") == os.getenv("ANSWER"):
return os.getenv("JOB_EMAIL") + "\n"
return "%s %s" % (os.getenv("QUESTION"), "POST json to the server with the answer -> ... | 0 | 253 | 0 | 0 | 0 | 0 | 0 | -3 | 45 |
b4fa2855a728102eb7e89aa73c52415f48029918 | 1,782 | py | Python | paypaladaptive/settings.py | amineck/django-paypal-adaptive | 98a5d4674a4ae2b619ff4f9ee11240c27d03ac73 | [
"CC-BY-3.0"
] | 4 | 2015-01-21T10:42:21.000Z | 2016-01-19T09:16:55.000Z | paypaladaptive/settings.py | amineck/django-paypal-adaptive | 98a5d4674a4ae2b619ff4f9ee11240c27d03ac73 | [
"CC-BY-3.0"
] | 6 | 2015-01-14T22:13:10.000Z | 2021-06-10T20:34:41.000Z | paypaladaptive/settings.py | amineck/django-paypal-adaptive | 98a5d4674a4ae2b619ff4f9ee11240c27d03ac73 | [
"CC-BY-3.0"
] | 10 | 2015-03-23T14:16:30.000Z | 2021-02-21T02:05:27.000Z | from datetime import timedelta
from django.conf import settings
from money import set_default_currency
DEBUG = getattr(settings, "DEBUG", False)
if DEBUG:
# use sandboxes while in debug mode
PAYPAL_ENDPOINT = 'https://svcs.sandbox.paypal.com/AdaptivePayments/'
PAYPAL_PAYMENT_HOST = 'https://www.sandbox.p... | 40.5 | 89 | 0.795174 | from datetime import timedelta
from django.conf import settings
from money import set_default_currency
DEBUG = getattr(settings, "DEBUG", False)
if DEBUG:
# use sandboxes while in debug mode
PAYPAL_ENDPOINT = 'https://svcs.sandbox.paypal.com/AdaptivePayments/'
PAYPAL_PAYMENT_HOST = 'https://www.sandbox.p... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a6c3a422b10ad2352d84749db1185f4c78782d2e | 11,228 | py | Python | vcd2json.py | anders-code/vcd2json | 146384371f6b877b5a787c5bad2f9f171bad30e2 | [
"MIT"
] | 1 | 2022-01-29T23:32:40.000Z | 2022-01-29T23:32:40.000Z | vcd2json.py | anders-code/vcd2json | 146384371f6b877b5a787c5bad2f9f171bad30e2 | [
"MIT"
] | null | null | null | vcd2json.py | anders-code/vcd2json | 146384371f6b877b5a787c5bad2f9f171bad30e2 | [
"MIT"
] | null | null | null | """Create WaveJSON text string from VCD file."""
| 34.336391 | 77 | 0.483969 | """Create WaveJSON text string from VCD file."""
import sys
class _SignalDef:
def __init__(self, name, sid, length):
self._name = name
self._sid = sid
self._length = length
self._fmt = ''
class WaveExtractor:
def __init__(self, vcd_file, json_file, path_list):
"""
... | 0 | 438 | 0 | 10,634 | 0 | 0 | 0 | -11 | 114 |
5ad1a42fbcf99a0df17e4be175d2b9c068c6de4d | 593 | py | Python | fish_core/scrapy/run_crawler.py | SylvanasSun/FishFishJump | 696212d242d8d572f3f1b43925f3d8ab8acc6a2d | [
"MIT"
] | 60 | 2018-03-09T07:06:10.000Z | 2021-11-18T15:53:04.000Z | fish_core/scrapy/run_crawler.py | qiubaiying/FishFishJump | 696212d242d8d572f3f1b43925f3d8ab8acc6a2d | [
"MIT"
] | 1 | 2018-04-03T11:05:54.000Z | 2018-04-03T20:06:41.000Z | fish_core/scrapy/run_crawler.py | qiubaiying/FishFishJump | 696212d242d8d572f3f1b43925f3d8ab8acc6a2d | [
"MIT"
] | 8 | 2018-03-12T03:07:00.000Z | 2021-06-11T05:16:11.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sched
import time
"""
Perform crawling tasks on a regular basis,
this module default starts crawler 'fish_simple_crawler' on the everyday.
"""
scheduler = sched.scheduler(time.time, time.sleep)
if __name__ == '__main__':
scheduler.enter(0, 0, crawl_sche... | 21.962963 | 76 | 0.716695 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import sched
import time
"""
Perform crawling tasks on a regular basis,
this module default starts crawler 'fish_simple_crawler' on the everyday.
"""
scheduler = sched.scheduler(time.time, time.sleep)
def crawl_tasks(spider_name):
os.system('scrapy cra... | 0 | 0 | 0 | 0 | 0 | 161 | 0 | -12 | 68 |
3c8a8feacb5678a703a405eb0fbe5a06f7f05dc1 | 437 | py | Python | model/roi_layers/nms.py | ZhangHanbo/Visual-Manipulation-Relationship-Network-Pytorch | 9dd24947db318f6e404918d4758f1d824eea3748 | [
"MIT"
] | 26 | 2019-10-31T08:21:46.000Z | 2022-03-11T13:58:43.000Z | model/roi_layers/nms.py | moli1026/regrad | f66c38c00405b22cb746cc3f5c38d2b49f77d854 | [
"MIT"
] | 12 | 2019-11-07T09:12:50.000Z | 2022-03-12T02:58:18.000Z | model/roi_layers/nms.py | moli1026/regrad | f66c38c00405b22cb746cc3f5c38d2b49f77d854 | [
"MIT"
] | 11 | 2019-10-30T08:44:47.000Z | 2022-03-11T13:58:48.000Z | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
# from ._utils import _C
import torch
if torch.__version__.split(".")[0] == "1":
from torchvision.ops import nms
elif torch.__version__ == "0.4.0":
else:
raise RuntimeError("unsupported torch version. Supported: 0.4.0 (recommended) and 1.x... | 31.214286 | 91 | 0.713959 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
# from ._utils import _C
import torch
if torch.__version__.split(".")[0] == "1":
from torchvision.ops import nms
elif torch.__version__ == "0.4.0":
from model.nms.nms_wrapper import nms
else:
raise RuntimeError("unsupported torch versi... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 26 |
2a873e86730c2b7e035acf29e0e6c9308282c3c7 | 1,834 | py | Python | motion_sensor.py | joelghill/catcam | 1b95b23d48bcaf42a028a90f728c0609b2ef9f79 | [
"MIT"
] | 1 | 2018-05-09T06:51:49.000Z | 2018-05-09T06:51:49.000Z | motion_sensor.py | joelghill/catcam | 1b95b23d48bcaf42a028a90f728c0609b2ef9f79 | [
"MIT"
] | null | null | null | motion_sensor.py | joelghill/catcam | 1b95b23d48bcaf42a028a90f728c0609b2ef9f79 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import RPi.GPIO as GPIO
#monitor = SonicDistanceMonitor(print_distance)
#monitor.start(0.2)
| 26.970588 | 78 | 0.605234 | #!/usr/bin/python
import RPi.GPIO as GPIO
import time
class MotionDetector() :
_input_pin = 11
_is_running = False
_on_motion_detected = None
def __init__(self, callback, input_pin=11) :
"""
Initializes a new instance of the SonicDistance class
tigger is the GPIO pin connecte... | 0 | 0 | 0 | 1,687 | 0 | 0 | 0 | -10 | 45 |
d7fa59b9d3ca261fe2244e4fe4242ca509271090 | 682 | py | Python | kfusiontables/kft/sync.py | kula1922/kfusiontables | 149ddaddb95319a237bb94525db17b1b3a5ac66f | [
"BSD-3-Clause"
] | 4 | 2016-04-10T10:27:36.000Z | 2018-10-12T13:45:25.000Z | kfusiontables/kft/sync.py | kula1922/kfusiontables | 149ddaddb95319a237bb94525db17b1b3a5ac66f | [
"BSD-3-Clause"
] | 2 | 2020-06-05T17:30:32.000Z | 2021-06-01T21:52:49.000Z | kfusiontables/kft/sync.py | kula1922/kfusiontables | 149ddaddb95319a237bb94525db17b1b3a5ac66f | [
"BSD-3-Clause"
] | null | null | null | import logging
logger = logging.getLogger(__name__)
| 27.28 | 73 | 0.617302 | import logging
from kfusiontables.kft import KFusionTables
logger = logging.getLogger(__name__)
class KFusionTablesSync(KFusionTables):
def sync_tables(self, table_name=None, table_names=None, sender=None,
senders=None, _all=None, force=None):
"""
Synchronize local tables to... | 0 | 0 | 0 | 559 | 0 | 0 | 0 | 22 | 46 |
92f7c60c2ca087b46a3cac5a9312bc2c42f94484 | 11,399 | py | Python | pyqode/core/_forms/search_panel_ui.py | haesleinhuepf/pyqode.core | 88b9bab081fd580d4de86f3d926a9f0b19146d28 | [
"MIT"
] | null | null | null | pyqode/core/_forms/search_panel_ui.py | haesleinhuepf/pyqode.core | 88b9bab081fd580d4de86f3d926a9f0b19146d28 | [
"MIT"
] | null | null | null | pyqode/core/_forms/search_panel_ui.py | haesleinhuepf/pyqode.core | 88b9bab081fd580d4de86f3d926a9f0b19146d28 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file '/home/colin/dev/pyQode/pyqode.core/forms/search_panel.ui'
#
# Created by: PyQt5 UI code generator 5.5.1
#
# WARNING! All changes made in this file will be lost! | 58.45641 | 115 | 0.737258 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file '/home/colin/dev/pyQode/pyqode.core/forms/search_panel.ui'
#
# Created by: PyQt5 UI code generator 5.5.1
#
# WARNING! All changes made in this file will be lost!
from qtpy import QtCore, QtGui, QtWidgets
class Ui_SearchPanel(object):
de... | 0 | 0 | 0 | 11,017 | 0 | 0 | 0 | 52 | 91 |
b59b2caf90924f8b1f174e18235105b36f87f29b | 4,614 | py | Python | main.py | kodo-pp/hse-ws10 | 9dbad128d2cbaa65a7d7ae4418f3a03736df0211 | [
"Apache-2.0"
] | null | null | null | main.py | kodo-pp/hse-ws10 | 9dbad128d2cbaa65a7d7ae4418f3a03736df0211 | [
"Apache-2.0"
] | null | null | null | main.py | kodo-pp/hse-ws10 | 9dbad128d2cbaa65a7d7ae4418f3a03736df0211 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
if __name__ == '__main__':
main()
| 26.982456 | 108 | 0.596012 | #!/usr/bin/env python
import json
import re
import sys
import time
from argparse import ArgumentParser
from queue import Queue
import requests as rq
from bs4 import BeautifulSoup
from loguru import logger
def parse_arguments():
ap = ArgumentParser(
description = 'Download an HTML page, find HTTPS links ... | 0 | 0 | 0 | 0 | 1,736 | 2,367 | 0 | -15 | 453 |
2732bd4889b921a247d93555b57cc7fd26b0b357 | 24,762 | py | Python | load_data.py | vincekurtz/gracenet | 787ed3c559cd540bbbb53380d5b21879857fe254 | [
"MIT"
] | null | null | null | load_data.py | vincekurtz/gracenet | 787ed3c559cd540bbbb53380d5b21879857fe254 | [
"MIT"
] | null | null | null | load_data.py | vincekurtz/gracenet | 787ed3c559cd540bbbb53380d5b21879857fe254 | [
"MIT"
] | 1 | 2018-09-19T06:43:19.000Z | 2018-09-19T06:43:19.000Z | #!/usr/bin/env python3
##
#
# GraceNET v0.0
#
# Predict future anomolies based soley on the past 24 months of
# GRACE anomolies. This file generates training and testing data
# saving both to json files
#
##
import random
import csv
import glob
import json
import datetime
import numpy as np
import matplotlib.pyplot ... | 32.368627 | 125 | 0.593288 | #!/usr/bin/env python3
##
#
# GraceNET v0.0
#
# Predict future anomolies based soley on the past 24 months of
# GRACE anomolies. This file generates training and testing data
# saving both to json files
#
##
import random
import csv
import glob
import json
import datetime
import numpy as np
import matplotlib.pyplot ... | 0 | 0 | 0 | 0 | 0 | 2,895 | 0 | 0 | 228 |
8b51079e178a0d8d86e85b0424d64cfac8f46bb3 | 1,414 | py | Python | template/config/train.py | penguinmenac3/deeptech-template | 63df98f9ff69ab0dbbb0e38287810928c4173b11 | [
"MIT"
] | null | null | null | template/config/train.py | penguinmenac3/deeptech-template | 63df98f9ff69ab0dbbb0e38287810928c4173b11 | [
"MIT"
] | null | null | null | template/config/train.py | penguinmenac3/deeptech-template | 63df98f9ff69ab0dbbb0e38287810928c4173b11 | [
"MIT"
] | null | null | null | """doc
# Train Config
This is the main configuration file used for training the approach.
"""
from deeptech.core import cli
# Run with parameters parsed from commandline.
# python -m deeptech.examples.mnist_simple --mode=train --input=Datasets --output=Results
if __name__ == "__main__":
cli.run(FashionMNISTConf... | 36.25641 | 113 | 0.755304 | """doc
# Train Config
This is the main configuration file used for training the approach.
"""
import os
from deeptech.core import Config, cli
from deeptech.model.module_from_json import Module
from deeptech.training.trainers import SupervisedTrainer
from deeptech.training.optimizers import smart_optimizer
from torch.o... | 0 | 0 | 0 | 747 | 0 | 0 | 0 | 165 | 178 |
0d6c2a22e6d4c282df65ea5887d039eeeed9275c | 12,871 | py | Python | .tox/scenario/lib/python2.7/site-packages/psutil/_psbsd.py | bdrich/neutron-lbaas | b4711abfe0207c4fdd5d7fb7ecbf017e753abbfd | [
"Apache-2.0"
] | null | null | null | .tox/scenario/lib/python2.7/site-packages/psutil/_psbsd.py | bdrich/neutron-lbaas | b4711abfe0207c4fdd5d7fb7ecbf017e753abbfd | [
"Apache-2.0"
] | null | null | null | .tox/scenario/lib/python2.7/site-packages/psutil/_psbsd.py | bdrich/neutron-lbaas | b4711abfe0207c4fdd5d7fb7ecbf017e753abbfd | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright (c) 2009, Giampaolo Rodola'. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""FreeBSD platform implementation."""
import errno
import os
import sys
import warnings
import _psutil_bsd
import _psutil_posix
... | 34.050265 | 80 | 0.681688 | #!/usr/bin/env python
# Copyright (c) 2009, Giampaolo Rodola'. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""FreeBSD platform implementation."""
import errno
import os
import sys
import warnings
import _psutil_bsd
import _psutil_posix
... | 0 | 5,364 | 0 | 1,618 | 0 | 1,045 | 0 | 7 | 143 |
ff394a1171c293e681f64072878f8148762d365e | 2,100 | py | Python | tap_linkedin_marketing/executor.py | Radico/tap-linkedin-marketing | 4ccd48bfdfa109955d4eb1c9ae5d81ff0c1f40bb | [
"Apache-2.0"
] | null | null | null | tap_linkedin_marketing/executor.py | Radico/tap-linkedin-marketing | 4ccd48bfdfa109955d4eb1c9ae5d81ff0c1f40bb | [
"Apache-2.0"
] | null | null | null | tap_linkedin_marketing/executor.py | Radico/tap-linkedin-marketing | 4ccd48bfdfa109955d4eb1c9ae5d81ff0c1f40bb | [
"Apache-2.0"
] | 1 | 2020-10-08T16:49:59.000Z | 2020-10-08T16:49:59.000Z | import singer
LOGGER = singer.get_logger()
| 27.272727 | 71 | 0.543333 | import singer
from tap_kit import TapExecutor
from tap_kit.utils import (transform_write_and_count)
LOGGER = singer.get_logger()
class LinkedInExecutor(TapExecutor):
def __init__(self, streams, args, client):
"""
Args:
streams (arr[Stream])
args (dict)
client... | 0 | 0 | 0 | 1,945 | 0 | 0 | 0 | 42 | 68 |
3c5b2df441b90277fa6a7b32261e00006b20d450 | 566 | py | Python | products/migrations/0009_auto_20200310_1903.py | JayPeaa/msproject5 | 89ee3e52cbefc686104389f91770581b88349020 | [
"MIT"
] | null | null | null | products/migrations/0009_auto_20200310_1903.py | JayPeaa/msproject5 | 89ee3e52cbefc686104389f91770581b88349020 | [
"MIT"
] | 12 | 2020-02-12T02:53:42.000Z | 2022-03-12T00:17:00.000Z | products/migrations/0009_auto_20200310_1903.py | JayPeaa/msproject5 | 89ee3e52cbefc686104389f91770581b88349020 | [
"MIT"
] | 1 | 2020-04-11T12:31:12.000Z | 2020-04-11T12:31:12.000Z | # Generated by Django 2.1.14 on 2020-03-10 19:03
| 23.583333 | 70 | 0.591873 | # Generated by Django 2.1.14 on 2020-03-10 19:03
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('products', '0008_auto_20200307_1352'),
]
operations = [
migrations.RemoveField(
model_name='product',
name='product... | 0 | 0 | 0 | 451 | 0 | 0 | 0 | 19 | 46 |
73a63e4efac203c167f98bcd9a2ff16d6821760c | 4,158 | py | Python | core/src/models.py | fall2021-csc510-group40/filmfan | da42fdcc713f2b22debc1da9a09dc7a82aa5b66b | [
"MIT"
] | 1 | 2021-09-20T00:34:27.000Z | 2021-09-20T00:34:27.000Z | core/src/models.py | fall2021-csc510-group40/filmfan | da42fdcc713f2b22debc1da9a09dc7a82aa5b66b | [
"MIT"
] | 36 | 2021-10-29T19:02:23.000Z | 2021-11-16T03:06:01.000Z | core/src/models.py | pncnmnp/SE21-project | da42fdcc713f2b22debc1da9a09dc7a82aa5b66b | [
"MIT"
] | 1 | 2022-02-25T03:07:26.000Z | 2022-02-25T03:07:26.000Z | """
This package defines database models and relations used
"""
from . import db
movie_favorites = db.Table(
'movie_favorites',
db.Column('user_id', db.Integer, db.ForeignKey('user.id'), primary_key=True),
db.Column('movie_id', db.Integer, db.ForeignKey(f'{MovieHandle.__tablename__}.id'), primary_key=Tr... | 31.740458 | 106 | 0.61544 | """
This package defines database models and relations used
"""
from . import db
from flask_login import UserMixin
from werkzeug.security import generate_password_hash, check_password_hash
class MovieHandle(db.Model):
"""
MovieHandle class provides a representation of a movie id for the database
"""
i... | 0 | 0 | 0 | 3,418 | 0 | 0 | 0 | 64 | 113 |
282aaaeff385e415d0b0f70d80c9a913e92b0bfc | 3,092 | py | Python | python/itertools_combinations_2.py | Hamng/python-sources | 0cc5a5d9e576440d95f496edcfd921ae37fcd05a | [
"Unlicense"
] | null | null | null | python/itertools_combinations_2.py | Hamng/python-sources | 0cc5a5d9e576440d95f496edcfd921ae37fcd05a | [
"Unlicense"
] | 1 | 2019-02-23T18:30:51.000Z | 2019-02-23T18:30:51.000Z | python/itertools_combinations_2.py | Hamng/python-sources | 0cc5a5d9e576440d95f496edcfd921ae37fcd05a | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 5 00:39:20 2019
@author: Ham
HackerRanch Challenge: Iterable and Iterators
The itertools module standardizes a core set of fast, memory efficient tools
that are useful by themselves or in combination.
Together, they form an iterator algebra making it possible... | 29.730769 | 95 | 0.651682 | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 5 00:39:20 2019
@author: Ham
HackerRanch Challenge: Iterable and Iterators
The itertools module standardizes a core set of fast, memory efficient tools
that are useful by themselves or in combination.
Together, they form an iterator algebra making it possible... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1249771607a589243d9d0012abde96e177516f07 | 236 | py | Python | setup.py | pallogu/numerai | 6f5d6b31e86d27030b041f8591e0122894128e59 | [
"FTL"
] | null | null | null | setup.py | pallogu/numerai | 6f5d6b31e86d27030b041f8591e0122894128e59 | [
"FTL"
] | null | null | null | setup.py | pallogu/numerai | 6f5d6b31e86d27030b041f8591e0122894128e59 | [
"FTL"
] | null | null | null | from setuptools import find_packages, setup
setup(
name='src',
packages=find_packages(),
version='0.1.0',
description='Fun project to explore numer.ai modelling of market trends',
author='Arvpau',
license='',
)
| 21.454545 | 77 | 0.677966 | from setuptools import find_packages, setup
setup(
name='src',
packages=find_packages(),
version='0.1.0',
description='Fun project to explore numer.ai modelling of market trends',
author='Arvpau',
license='',
)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
54db4693e1cf294e42ce5591b68d9cdb70403b91 | 4,356 | py | Python | OCR.py | Sunil7545/OCRProjectTeamTwo | 6124b0440421acfd28524988171d0061507d53dd | [
"MIT"
] | null | null | null | OCR.py | Sunil7545/OCRProjectTeamTwo | 6124b0440421acfd28524988171d0061507d53dd | [
"MIT"
] | 2 | 2022-01-13T02:02:43.000Z | 2022-03-12T00:11:03.000Z | OCR.py | Sunil7545/OCRProjectTeamTwo | 6124b0440421acfd28524988171d0061507d53dd | [
"MIT"
] | 2 | 2019-12-27T19:07:27.000Z | 2020-01-17T15:06:13.000Z | '''
This program will convert PDFs into images and read text from those images
and print the text over the screen.
This can also extract text directly from images and print it out.
'''
# try is used to keep a check over the import. If there is an error, it will not close
# the program, but instead execute the except s... | 36.3 | 96 | 0.665289 | '''
This program will convert PDFs into images and read text from those images
and print the text over the screen.
This can also extract text directly from images and print it out.
'''
import os
# try is used to keep a check over the import. If there is an error, it will not close
# the program, but instead execute th... | 0 | 0 | 0 | 3,337 | 0 | 0 | 0 | 15 | 115 |
61a82ac910dabe7ebb8ace667d6eced2cc315462 | 1,671 | py | Python | tests/ros_comm/test_asserts.py | ros-testing/rospbt | db708ba9c326920b222ef5662b0326db9397d718 | [
"Apache-2.0"
] | null | null | null | tests/ros_comm/test_asserts.py | ros-testing/rospbt | db708ba9c326920b222ef5662b0326db9397d718 | [
"Apache-2.0"
] | 11 | 2018-05-11T15:37:20.000Z | 2018-07-30T19:10:47.000Z | tests/ros_comm/test_asserts.py | ros-testing/rospbt | db708ba9c326920b222ef5662b0326db9397d718 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
| 25.707692 | 86 | 0.775583 | # -*- coding: utf-8 -*-
import pytest
from rostestplus.ros_comm.asserts import (
AssertException,
assert_node_pingable,
assert_node_listed,
assert_node_listed_on_machine,
assert_service_response_success_true,
)
def test_assert_node_pingable_doesnt_raise_exception_for_existing_node():
fake_st... | 0 | 0 | 0 | 0 | 0 | 1,286 | 0 | 163 | 184 |
3f63d509b9f70233de4928b087d43a1d0bf024cc | 3,229 | py | Python | model-optimizer/mo/ops/pad_test.py | JOCh1958/openvino | 070201feeec5550b7cf8ec5a0ffd72dc879750be | [
"Apache-2.0"
] | 1 | 2021-04-06T03:32:12.000Z | 2021-04-06T03:32:12.000Z | model-optimizer/mo/ops/pad_test.py | JOCh1958/openvino | 070201feeec5550b7cf8ec5a0ffd72dc879750be | [
"Apache-2.0"
] | 28 | 2021-09-24T09:29:02.000Z | 2022-03-28T13:20:46.000Z | model-optimizer/mo/ops/pad_test.py | JOCh1958/openvino | 070201feeec5550b7cf8ec5a0ffd72dc879750be | [
"Apache-2.0"
] | 1 | 2020-08-30T11:48:03.000Z | 2020-08-30T11:48:03.000Z | # Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
| 33.635417 | 120 | 0.539486 | # Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import unittest
import numpy as np
from mo.graph.graph import Node
from mo.ops.pad import Pad, AttributedPad
from mo.utils.unittest.graph import build_graph
class TestPadOps(unittest.TestCase):
node_attrs = {
'data_in': {... | 0 | 0 | 0 | 2,963 | 0 | 0 | 0 | 47 | 136 |
cf2a2de27769f700c32eae12f1013f8529c4d8cf | 835 | py | Python | backend/wod_board/models/__init__.py | GuillaumeOj/P13-WOD-Board | 36df7979e63c354507edb56eabdfc548b1964d08 | [
"MIT"
] | null | null | null | backend/wod_board/models/__init__.py | GuillaumeOj/P13-WOD-Board | 36df7979e63c354507edb56eabdfc548b1964d08 | [
"MIT"
] | 82 | 2021-01-17T18:12:23.000Z | 2021-06-12T21:46:49.000Z | backend/wod_board/models/__init__.py | GuillaumeOj/WodBoard | 1ac12404f6094909c9bf116bcaf6ccd60e85bc00 | [
"MIT"
] | null | null | null | import sqlalchemy
import sqlalchemy.orm
from wod_board import config
Base = sqlalchemy.orm.declarative_base()
engine = sqlalchemy.create_engine(config.DATABASE_URL)
Session = sqlalchemy.orm.sessionmaker(bind=engine, class_=sqlalchemy.orm.Session)
# Import each model fo Alembic
| 21.973684 | 81 | 0.732934 | import sqlalchemy
import sqlalchemy.orm
from wod_board import config
Base = sqlalchemy.orm.declarative_base()
engine = sqlalchemy.create_engine(config.DATABASE_URL)
Session = sqlalchemy.orm.sessionmaker(bind=engine, class_=sqlalchemy.orm.Session)
def get_db():
db = Session()
try:
yield db
fin... | 0 | 0 | 0 | 0 | 69 | 88 | 0 | 111 | 279 |
99e693da437969ae877a9c639beb2e1c016d3c3c | 1,727 | py | Python | qatrack/parts/migrations/0014_auto_20201230_0955.py | crcrewso/qatrackplus | b9da3bc542d9e3eca8b7291bb631d1c7255d528e | [
"MIT"
] | 20 | 2021-03-11T18:37:32.000Z | 2022-03-23T19:38:07.000Z | qatrack/parts/migrations/0014_auto_20201230_0955.py | crcrewso/qatrackplus | b9da3bc542d9e3eca8b7291bb631d1c7255d528e | [
"MIT"
] | 75 | 2021-02-12T02:37:33.000Z | 2022-03-29T20:56:16.000Z | qatrack/parts/migrations/0014_auto_20201230_0955.py | crcrewso/qatrackplus | b9da3bc542d9e3eca8b7291bb631d1c7255d528e | [
"MIT"
] | 5 | 2021-04-07T15:46:53.000Z | 2021-09-18T16:55:00.000Z | # Generated by Django 2.1.15 on 2020-12-30 14:55
| 31.4 | 107 | 0.659525 | # Generated by Django 2.1.15 on 2020-12-30 14:55
import os
from django.conf import settings
from django.db import migrations
from django.db.migrations.recorder import MigrationRecorder
def alter_unique(apps, schema):
from django.db import connection, transaction
cursor = connection.cursor()
cursor.execu... | 0 | 0 | 0 | 457 | 0 | 1,035 | 0 | 48 | 135 |
00d47b939f359f3dcf59c98e277e76e10ecbf25e | 5,108 | py | Python | app/main.py | prav10194/automated-twitter-reddit-app | 7c44dbb998d4124589e7c8d74fa0b6e09c2aea40 | [
"MIT"
] | null | null | null | app/main.py | prav10194/automated-twitter-reddit-app | 7c44dbb998d4124589e7c8d74fa0b6e09c2aea40 | [
"MIT"
] | null | null | null | app/main.py | prav10194/automated-twitter-reddit-app | 7c44dbb998d4124589e7c8d74fa0b6e09c2aea40 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
from flask import Flask
from flask_cors import CORS
import requests
import dropbox
app = Flask(__name__)
cors = CORS(app)
app.config['CORS_HEADERS'] = 'Content-Type'
import praw
import os
dbx = dropbox.Dropbox(os.environ.get('DROPBOX_ACCESS_TOKEN'))
reddit = praw.Reddit(
cl... | 45.607143 | 166 | 0.57224 | from __future__ import unicode_literals
from flask import Flask, render_template, request
from flask_cors import CORS, cross_origin
import requests
import dropbox
app = Flask(__name__)
cors = CORS(app)
app.config['CORS_HEADERS'] = 'Content-Type'
import praw
import requests
import youtube_dl
import random
import time... | 0 | 4,156 | 0 | 0 | 0 | 0 | 0 | 12 | 134 |
072864afc42d7a2bd9cbf5cb71e2e0a705e39792 | 3,651 | py | Python | dgaintel/predict.py | ffontaine/dgaintel | 6b2ed1023c73fd3449571380eca34e17f919114b | [
"MIT"
] | null | null | null | dgaintel/predict.py | ffontaine/dgaintel | 6b2ed1023c73fd3449571380eca34e17f919114b | [
"MIT"
] | null | null | null | dgaintel/predict.py | ffontaine/dgaintel | 6b2ed1023c73fd3449571380eca34e17f919114b | [
"MIT"
] | null | null | null | '''
Main prediction module for dgaintel package
'''
import os
import numpy as np
from tensorflow.keras.models import load_model
DIR_PATH = os.path.dirname(os.path.abspath(__file__))
SAVED_MODEL_PATH = os.path.join(DIR_PATH, 'domain_classifier_model.h5')
MODEL = load_model(SAVED_MODEL_PATH)
CHAR2IDX = {'-': 0, '.': 1,... | 30.680672 | 83 | 0.575185 | '''
Main prediction module for dgaintel package
'''
import os
import numpy as np
from tensorflow.keras.models import load_model
DIR_PATH = os.path.dirname(os.path.abspath(__file__))
SAVED_MODEL_PATH = os.path.join(DIR_PATH, 'domain_classifier_model.h5')
MODEL = load_model(SAVED_MODEL_PATH)
CHAR2IDX = {'-': 0, '.': 1,... | 0 | 0 | 0 | 0 | 0 | 689 | 0 | 0 | 46 |
4521ed0e587cc3e49439300b7abac40ba3de6383 | 17,394 | py | Python | python/deepLearningPlotter.py | cms-ttbarAC/CyMiniAna | 405b1ac6639f8a93297e847180b5a6ab58f9a06c | [
"MIT"
] | null | null | null | python/deepLearningPlotter.py | cms-ttbarAC/CyMiniAna | 405b1ac6639f8a93297e847180b5a6ab58f9a06c | [
"MIT"
] | 31 | 2017-10-26T16:11:32.000Z | 2018-08-13T14:39:56.000Z | python/deepLearningPlotter.py | cms-ttbarAC/cheetah | 76457d3cb3936dac5c78957b66b3b8aa213ca2b7 | [
"MIT"
] | 1 | 2018-07-24T20:32:35.000Z | 2018-07-24T20:32:35.000Z | """
Created: 11 November 2016
Last Updated: 16 February 2018
Dan Marley
daniel.edison.marley@cernSPAMNOT.ch
Texas A&M University
-----
Base class for plotting deep learning
Designed for running on desktop at TAMU
with specific set of software installed
--> not guaranteed to work in CMSSW environment!
Doe... | 39.531818 | 144 | 0.593825 | """
Created: 11 November 2016
Last Updated: 16 February 2018
Dan Marley
daniel.edison.marley@cernSPAMNOT.ch
Texas A&M University
-----
Base class for plotting deep learning
Designed for running on desktop at TAMU
with specific set of software installed
--> not guaranteed to work in CMSSW environment!
Doe... | 0 | 0 | 0 | 16,514 | 0 | 0 | 0 | 84 | 334 |
834408ee97e14fc2967196b73b32178bcfe126ec | 5,078 | py | Python | parametric_problems/lasso.py | BerkeleyAutomation/rlqp_benchmarks | 5c79e870c4bd697383f66f5dff26aea29dc1ebfa | [
"Apache-2.0"
] | 49 | 2017-11-18T11:16:44.000Z | 2021-05-05T12:48:33.000Z | parametric_problems/lasso.py | leiyubiao/osqp_benchmarks | 5c79e870c4bd697383f66f5dff26aea29dc1ebfa | [
"Apache-2.0"
] | 5 | 2017-11-18T20:10:25.000Z | 2020-09-27T09:06:58.000Z | parametric_problems/lasso.py | leiyubiao/osqp_benchmarks | 5c79e870c4bd697383f66f5dff26aea29dc1ebfa | [
"Apache-2.0"
] | 19 | 2017-11-18T20:13:31.000Z | 2021-05-06T01:27:31.000Z | """
Solve Lasso problem as parametric QP by updating iteratively lambda
"""
# import osqppurepy as osqp
| 32.343949 | 83 | 0.521268 | """
Solve Lasso problem as parametric QP by updating iteratively lambda
"""
import numpy as np
import pandas as pd
import os
from solvers.solvers import SOLVER_MAP # AVOID CIRCULAR DEPENDENCY
from problem_classes.lasso import LassoExample
from utils.general import make_sure_path_exists
# import osqppurepy as osqp
impo... | 0 | 0 | 0 | 4,726 | 0 | 0 | 0 | 41 | 206 |
e1bd1d8d7ce5622633bf24fc68ec450788976faa | 74,865 | py | Python | src/datalad_installer.py | datalad/datalad-installer | 93a4c7a032aef42af59fc889e61d9e4c78f0f1bb | [
"MIT"
] | 2 | 2021-07-06T11:51:44.000Z | 2022-03-01T08:03:01.000Z | src/datalad_installer.py | datalad/datalad-installer | 93a4c7a032aef42af59fc889e61d9e4c78f0f1bb | [
"MIT"
] | 88 | 2020-12-15T16:12:58.000Z | 2022-03-25T20:48:31.000Z | src/datalad_installer.py | datalad/datalad-installer | 93a4c7a032aef42af59fc889e61d9e4c78f0f1bb | [
"MIT"
] | 2 | 2020-12-24T03:03:29.000Z | 2022-01-06T01:28:36.000Z | #!/usr/bin/env python3
"""
Installation script for Datalad and related components
``datalad-installer`` is a script for installing Datalad_, git-annex_, and
related components all in a single invocation. It requires no third-party
Python libraries, though it does make heavy use of external packaging commands.
.. _Da... | 34.263158 | 96 | 0.562773 | #!/usr/bin/env python3
"""
Installation script for Datalad and related components
``datalad-installer`` is a script for installing Datalad_, git-annex_, and
related components all in a single invocation. It requires no third-party
Python libraries, though it does make heavy use of external packaging commands.
.. _Da... | 0 | 41,368 | 0 | 25,017 | 0 | 1,927 | 0 | 147 | 1,163 |
0ad7f61aed9b153afd213f5a01cf465a50844018 | 9,205 | py | Python | moabb/paradigms/ssvep.py | plcrodrigues/moabb | aa4274fe7905631864e854c121c92e1927061f29 | [
"BSD-3-Clause"
] | 321 | 2017-06-03T16:14:45.000Z | 2022-03-28T17:43:59.000Z | moabb/paradigms/ssvep.py | plcrodrigues/moabb | aa4274fe7905631864e854c121c92e1927061f29 | [
"BSD-3-Clause"
] | 223 | 2017-06-03T17:41:57.000Z | 2022-03-29T09:07:44.000Z | moabb/paradigms/ssvep.py | girafe-ai/moabb | 78bbb48a2a0058b0725ebeba1ba1e3203f0eacd5 | [
"BSD-3-Clause"
] | 118 | 2017-06-03T18:36:35.000Z | 2022-03-16T06:22:02.000Z | """Steady-State Visually Evoked Potentials Paradigms"""
import logging
log = logging.getLogger(__name__)
| 34.475655 | 86 | 0.610864 | """Steady-State Visually Evoked Potentials Paradigms"""
import logging
from moabb.datasets import utils
from moabb.datasets.fake import FakeDataset
from moabb.paradigms.base import BaseParadigm
log = logging.getLogger(__name__)
class BaseSSVEP(BaseParadigm):
"""Base SSVEP Paradigm
Parameters
--------... | 18 | 546 | 0 | 8,325 | 0 | 0 | 0 | 57 | 159 |
3bce5d801f2b7e46030a48b54ef5fc9e31dec0f2 | 394 | py | Python | .ipython/profile_default/startup/startup_file.py | mmphego/dot-files | 0563646cd9e9d627c08c710000afcc038a55fa2c | [
"MIT"
] | 29 | 2019-03-03T17:54:46.000Z | 2021-12-05T00:06:30.000Z | .ipython/profile_default/startup/startup_file.py | deltakapa/dot-files | bb43088d2bcea15e892dfa45bff934b8e7399e17 | [
"MIT"
] | 1 | 2019-03-04T05:41:14.000Z | 2019-03-04T05:41:14.000Z | .ipython/profile_default/startup/startup_file.py | deltakapa/dot-files | bb43088d2bcea15e892dfa45bff934b8e7399e17 | [
"MIT"
] | 6 | 2019-03-03T17:50:34.000Z | 2021-01-18T13:12:45.000Z | import sys
modulenames = ", ".join(list(set(sys.modules) & set(globals())))
msg = "---> Automagically imported these packages (if available): {}".format(modulenames)
formatted_msg = Style.LINE + Style.BOLD + Style.RED + msg + Style.END
print(formatted_msg)
| 21.888889 | 89 | 0.659898 | import os
import subprocess
import sys
import time
class Style:
BOLD = "\033[1m"
END = "\033[0m\n"
RED = "\033[91m"
LINE = "\n"
modulenames = ", ".join(list(set(sys.modules) & set(globals())))
msg = "---> Automagically imported these packages (if available): {}".format(modulenames)
formatted_msg = S... | 0 | 0 | 0 | 71 | 0 | 0 | 0 | -26 | 89 |
3bdcdb5f7e2a731cc8ba3d1d150a2d7eaeb46753 | 1,602 | py | Python | tests/test_parser_helpers.py | zagaran/instant-census | 62dd5bbc62939f43776a10708ef663722ead98af | [
"MIT"
] | 1 | 2021-06-01T17:03:47.000Z | 2021-06-01T17:03:47.000Z | tests/test_parser_helpers.py | zagaran/instant-census | 62dd5bbc62939f43776a10708ef663722ead98af | [
"MIT"
] | null | null | null | tests/test_parser_helpers.py | zagaran/instant-census | 62dd5bbc62939f43776a10708ef663722ead98af | [
"MIT"
] | null | null | null | # from parsers.number_parser import text2int
# text2int_tests = {
# "twenty-two" : 22,
# "ninety seven" : 97,
# "one hundred thirty seven" : 137,
# "one million" : 1000000,
# "fiftieth" : 50,
# "four-hundred and forty-fourth" : 444,
# "eighty" : 80,
# "ten thousand and one" : 10001,
# ... | 31.411765 | 86 | 0.519975 | from tests.common import InstantCensusTestCase
from utils.parser_helpers import split_standard_separators
# from parsers.number_parser import text2int
from string import whitespace as WHITESPACE_CHARS
class TestParserHelpers(InstantCensusTestCase):
SPLIT_STRING_TESTS = {
#simple splitting cases
'a... | 0 | 0 | 0 | 787 | 0 | 0 | 0 | 90 | 89 |
1f48ee108a1a017bfe9393336c3a466100542c05 | 206 | py | Python | millisecond1/millisecond1_1.py | Walop/AdventOfCode2017 | 32786e46d8fdfb5c824b72403cbc1a8858bac2bb | [
"MIT"
] | null | null | null | millisecond1/millisecond1_1.py | Walop/AdventOfCode2017 | 32786e46d8fdfb5c824b72403cbc1a8858bac2bb | [
"MIT"
] | null | null | null | millisecond1/millisecond1_1.py | Walop/AdventOfCode2017 | 32786e46d8fdfb5c824b72403cbc1a8858bac2bb | [
"MIT"
] | null | null | null | with open("input", "r") as file:
input = file.read()
nums = list(input)
sum = 0
for i in range(0, len(nums)):
if nums[i] == nums[i-1]:
sum += int(nums[i])
print(sum)
| 22.888889 | 33 | 0.490291 | with open("input", "r") as file:
input = file.read()
nums = list(input)
sum = 0
for i in range(0, len(nums)):
if nums[i] == nums[i-1]:
sum += int(nums[i])
print(sum)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a6b98cf550cbc9c04e82fd726c98a3cd54cc8498 | 15,173 | py | Python | framework-nucleus-segmentation/mrcnn/samples/cell/cell.py | CBIIT/nci-hitif | 2f825cbcba92ff2fdffac60de56604578f31e937 | [
"MIT"
] | null | null | null | framework-nucleus-segmentation/mrcnn/samples/cell/cell.py | CBIIT/nci-hitif | 2f825cbcba92ff2fdffac60de56604578f31e937 | [
"MIT"
] | 8 | 2020-04-13T18:52:30.000Z | 2022-02-10T01:18:21.000Z | mrcnn/samples/cell/cell.py | usnistgov/WIPP-fpn-inference-plugin | a3356305dcf2f3196833690c56f6bf5599de3d08 | [
"MIT"
] | 3 | 2018-07-10T15:19:54.000Z | 2021-02-16T17:10:01.000Z | import tensorflow as tf
tf_version = int((tf.__version__).split('.')[0])
if tf_version >= 2:
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
import os
import numpy as np
import warnings; warnings.simplefilter('ignore')
import time
import h5py
# Root directory of the project
ROOT_DIR = os.path.abspa... | 33.056645 | 173 | 0.598827 | import tensorflow as tf
tf_version = int((tf.__version__).split('.')[0])
if tf_version >= 2:
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
import os
import sys
import random
import numpy as np
import cv2
import skimage.io
import warnings; warnings.simplefilter('ignore')
import time
import h5py
# ... | 0 | 0 | 0 | 7,571 | 0 | 0 | 0 | -12 | 201 |
2025037e1bf63d94579a9569795dc83706d80bac | 2,749 | py | Python | examples/adafruit_io_simpletest_esp_at.py | willingc/Adafruit_CircuitPython_AdafruitIO | 9f47ce31564f952072b804a162d738d1c872aa28 | [
"MIT"
] | null | null | null | examples/adafruit_io_simpletest_esp_at.py | willingc/Adafruit_CircuitPython_AdafruitIO | 9f47ce31564f952072b804a162d738d1c872aa28 | [
"MIT"
] | null | null | null | examples/adafruit_io_simpletest_esp_at.py | willingc/Adafruit_CircuitPython_AdafruitIO | 9f47ce31564f952072b804a162d738d1c872aa28 | [
"MIT"
] | null | null | null | """
Usage example of the ESP32 over UART
using the CircuitPython ESP_ATControl library.
Dependencies:
* https://github.com/adafruit/Adafruit_CircuitPython_ESP_ATcontrol
"""
from random import randint
import board
import busio
from digitalio import DigitalInOut
# Import Adafruit IO REST Client
from adafruit_io.ada... | 32.341176 | 95 | 0.772645 | """
Usage example of the ESP32 over UART
using the CircuitPython ESP_ATControl library.
Dependencies:
* https://github.com/adafruit/Adafruit_CircuitPython_ESP_ATcontrol
"""
from random import randint
import board
import busio
from digitalio import DigitalInOut
# Import Adafruit IO REST Client
from adafruit_io.ada... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d9548f1abcc0c877d3c68c744296db8df25eecf0 | 2,925 | py | Python | toil/src/toil_marginphase/scripts/split_bam_by_coordinate.py | sachet-mittal/marginPhase | afe6c69825c5c51f02131b9f675a7d2c2d2c164e | [
"MIT"
] | 34 | 2017-08-07T00:24:11.000Z | 2021-11-19T04:34:44.000Z | toil/src/toil_marginphase/scripts/split_bam_by_coordinate.py | sachet-mittal/marginPhase | afe6c69825c5c51f02131b9f675a7d2c2d2c164e | [
"MIT"
] | 12 | 2018-04-16T06:34:53.000Z | 2022-03-04T03:40:48.000Z | toil/src/toil_marginphase/scripts/split_bam_by_coordinate.py | sachet-mittal/marginPhase | afe6c69825c5c51f02131b9f675a7d2c2d2c164e | [
"MIT"
] | 10 | 2017-02-18T03:48:23.000Z | 2020-01-07T00:57:21.000Z | #!/usr/bin/env python
from __future__ import print_function
CHR = "c"
START = "s"
END = "e"
DESC = "d"
if __name__ == "__main__":
main() | 37.5 | 128 | 0.6 | #!/usr/bin/env python
from __future__ import print_function
import argparse
import glob
import os
import subprocess
import sys
CHR = "c"
START = "s"
END = "e"
DESC = "d"
def parse_args():
parser = argparse.ArgumentParser("Split BAM by region")
parser.add_argument('--input_bam_glob', '-i', dest='input_bam_gl... | 0 | 0 | 0 | 0 | 0 | 2,638 | 0 | -43 | 179 |
06d1b0decc735be6856a071f3dfe2d0445118634 | 2,520 | py | Python | select.py | rmccartney856/marvelMovieSelector | 8adaef2ce1ed2c83c840f36ff74312b4322d3cec | [
"MIT"
] | 2 | 2019-03-31T23:00:31.000Z | 2019-03-31T23:00:34.000Z | select.py | rmccartney856/marvelMovieSelector | 8adaef2ce1ed2c83c840f36ff74312b4322d3cec | [
"MIT"
] | null | null | null | select.py | rmccartney856/marvelMovieSelector | 8adaef2ce1ed2c83c840f36ff74312b4322d3cec | [
"MIT"
] | null | null | null | #NAME: select.py
#DATE: 31/03/2019
import tkinter as tk
from PIL import Image, ImageTk
coverPath = "noimage.png"
root = tk.Tk()
root.title("Marvel Movie Generator")
root.configure(background='black')
#size of the window
root.geometry("450x880")
frame = tk.Frame(root)
frame.pack()
buttonGenerate = tk.Button... | 30.361446 | 128 | 0.702381 | #NAME: select.py
#DATE: 31/03/2019
import json
import time
import random
import tkinter as tk
from PIL import Image, ImageTk
coverPath = "noimage.png"
def generate():
#Open Movie File
marvelMovies = open('movies.json').read()
marvel = json.loads(marvelMovies)
#Select Random Phase
print("Selecti... | 0 | 0 | 0 | 0 | 0 | 1,116 | 0 | -28 | 90 |
91a51dcbfc685464fa605e651f220b09aaf8f706 | 15,440 | py | Python | tests/test_utils.py | radioactivedecay/radioactivedecay | 39b9cf45465f8ed54dc67bc35a3bb20bd8c257c7 | [
"MIT"
] | 12 | 2021-11-12T21:15:22.000Z | 2022-03-30T12:36:03.000Z | tests/test_utils.py | radioactivedecay/radioactivedecay | 39b9cf45465f8ed54dc67bc35a3bb20bd8c257c7 | [
"MIT"
] | 15 | 2021-11-08T03:30:41.000Z | 2022-03-21T07:24:48.000Z | tests/test_utils.py | radioactivedecay/radioactivedecay | 39b9cf45465f8ed54dc67bc35a3bb20bd8c257c7 | [
"MIT"
] | 3 | 2021-11-07T16:33:19.000Z | 2022-02-10T09:50:42.000Z | """
Unit tests for utils.py functions.
"""
import unittest
if __name__ == "__main__":
unittest.main()
| 44.240688 | 94 | 0.629922 | """
Unit tests for utils.py functions.
"""
import unittest
import numpy as np
from sympy import Integer, log
from radioactivedecay.utils import (
get_metastable_chars,
Z_to_elem,
elem_to_Z,
build_id,
build_nuclide_string,
NuclideStrError,
parse_nuclide_str,
parse_id,
parse_nuclide,
... | 0 | 0 | 0 | 14,927 | 0 | 0 | 0 | 290 | 112 |
f4ed724a958fb55e950f7a8e3a6a1c517973e5d2 | 759 | py | Python | flexslider/models.py | ForumDev/djangocms-flexslider | 181168aa9752d7023e03880b27004b886c96afdf | [
"MIT"
] | null | null | null | flexslider/models.py | ForumDev/djangocms-flexslider | 181168aa9752d7023e03880b27004b886c96afdf | [
"MIT"
] | null | null | null | flexslider/models.py | ForumDev/djangocms-flexslider | 181168aa9752d7023e03880b27004b886c96afdf | [
"MIT"
] | 1 | 2020-10-12T06:32:34.000Z | 2020-10-12T06:32:34.000Z | # Create your models here.
| 44.647059 | 116 | 0.716733 | from django.db import models
from cms.models.pluginmodel import CMSPlugin
from django.utils.http import int_to_base36
# Create your models here.
class Slide(models.Model):
title = models.CharField(max_length=25)
index = models.IntegerField(default=0)
descript = models.TextField(default='')
short_name =... | 0 | 0 | 0 | 591 | 0 | 0 | 0 | 52 | 89 |