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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
256135f3261bda49e4b410a35a4a8f8355d98ad8 | 722 | py | Python | rpi/tcp_server.py | nicolasGibaud7/App-domotic | aee4d80aa05a39388efd92ab9ecf9b5dd1460322 | [
"MIT"
] | 4 | 2020-01-01T15:22:55.000Z | 2020-01-10T09:34:26.000Z | rpi/tcp_server.py | nicolasGibaud7/App-domotic | aee4d80aa05a39388efd92ab9ecf9b5dd1460322 | [
"MIT"
] | 2 | 2020-01-01T15:16:02.000Z | 2020-01-02T13:56:29.000Z | rpi/tcp_server.py | nicolasGibaud7/App-domotic | aee4d80aa05a39388efd92ab9ecf9b5dd1460322 | [
"MIT"
] | null | null | null | import socket
import sys
IP_ADDR = "192.168.1.19"
TCP_PORT = 10000
if __name__ == "__main__":
# Create TCP socket
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
# Associate the socket with the server address
server_address = (IP_ADDR, TCP_PORT)
print("Start TCP server at address {} on p... | 26.740741 | 100 | 0.631579 | 92 | 722 | 4.73913 | 0.5 | 0.149083 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035514 | 0.259003 | 722 | 26 | 101 | 27.769231 | 0.779439 | 0.108033 | 0 | 0.111111 | 0 | 0 | 0.140625 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
256327adbdadb9819f932122ab31855bfe822e1d | 2,011 | py | Python | List Comprehensions/examples.py | mervatkheir/kite-python-blog-post-code | 9a331e5d327cd27c6ecd72926f3e74afd252efb5 | [
"MIT"
] | 238 | 2018-10-10T18:50:40.000Z | 2022-02-09T21:26:24.000Z | List Comprehensions/examples.py | mrrizal/kite-python-blog-post-code | 597f2d75b2ad5dda97e9b19f6e9c7195642e1739 | [
"MIT"
] | 38 | 2019-12-04T22:42:45.000Z | 2022-03-12T00:04:57.000Z | List Comprehensions/examples.py | mrrizal/kite-python-blog-post-code | 597f2d75b2ad5dda97e9b19f6e9c7195642e1739 | [
"MIT"
] | 154 | 2018-11-11T22:48:09.000Z | 2022-03-22T07:12:18.000Z | """
List Comprehensions Examples
"""
my_list = []
# my_list.append()
# my_list.extend()
"""
When to use ListComps
"""
phones = [
{
'number': '111-111-1111',
'label': 'phone',
'extension': '1234',
},
{
'number': '222-222-2222',
'label': 'mobile',
'extension... | 15.960317 | 53 | 0.604674 | 274 | 2,011 | 4.339416 | 0.310219 | 0.100084 | 0.015139 | 0.04037 | 0.318755 | 0.264929 | 0.257359 | 0.257359 | 0.134567 | 0.134567 | 0 | 0.038936 | 0.233715 | 2,011 | 125 | 54 | 16.088 | 0.732641 | 0.067131 | 0 | 0.230769 | 0 | 0 | 0.08056 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015385 | false | 0 | 0 | 0 | 0.046154 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2564c2f1d6dd5e44be1def881988d5a419b3038e | 2,549 | py | Python | ImageDenoising/network/denoising.py | jiunbae/ITE4053 | 873d53493b7588f67406e0e6ed0e74e5e3f957bc | [
"MIT"
] | 5 | 2019-06-20T09:54:04.000Z | 2021-06-15T04:22:49.000Z | ImageDenoising/network/denoising.py | jiunbae/ITE4053 | 873d53493b7588f67406e0e6ed0e74e5e3f957bc | [
"MIT"
] | null | null | null | ImageDenoising/network/denoising.py | jiunbae/ITE4053 | 873d53493b7588f67406e0e6ed0e74e5e3f957bc | [
"MIT"
] | 1 | 2019-04-19T04:52:34.000Z | 2019-04-19T04:52:34.000Z | import tensorflow as tf
from tensorflow.keras import backend as K
from tensorflow.keras import models as KM
from tensorflow.keras import layers as KL
class DenoisingNetwork(object):
def __new__(cls, mode: str) \
-> KM.Model:
assert mode in ['base', 'skip', 'bn']
inputs = KL.Input(sha... | 33.986667 | 59 | 0.488035 | 282 | 2,549 | 4.308511 | 0.262411 | 0.039506 | 0.02963 | 0.044444 | 0.545679 | 0.545679 | 0.545679 | 0.545679 | 0.545679 | 0.545679 | 0 | 0.019534 | 0.377403 | 2,549 | 74 | 60 | 34.445946 | 0.746062 | 0 | 0 | 0.515625 | 0 | 0 | 0.074931 | 0 | 0 | 0 | 0 | 0 | 0.015625 | 1 | 0.0625 | false | 0 | 0.0625 | 0.03125 | 0.1875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
256670e4e127db5ef91b0b78cc07a367f32674c1 | 884 | py | Python | utils/timer.py | YorkSu/hat | b646b6689f3d81c985ed13f3d5c23b6c717fd07d | [
"Apache-2.0"
] | 1 | 2019-04-10T04:49:30.000Z | 2019-04-10T04:49:30.000Z | utils/timer.py | Suger131/HAT-tf2.0 | b646b6689f3d81c985ed13f3d5c23b6c717fd07d | [
"Apache-2.0"
] | null | null | null | utils/timer.py | Suger131/HAT-tf2.0 | b646b6689f3d81c985ed13f3d5c23b6c717fd07d | [
"Apache-2.0"
] | 1 | 2019-06-14T05:53:42.000Z | 2019-06-14T05:53:42.000Z | import time
class Timer(object):
def __init__(self, Log, *args, **kwargs):
self.Log = Log
return super().__init__(*args, **kwargs)
@property
def time(self):
return time.strftime('%Y-%m-%d-%H-%M-%S', time.localtime())
def mktime(self, timex):
return time.mktime(time.strptime(timex, '%Y-%m-%d... | 31.571429 | 65 | 0.623303 | 132 | 884 | 3.94697 | 0.265152 | 0.122841 | 0.06334 | 0.057582 | 0.095969 | 0.023033 | 0 | 0 | 0 | 0 | 0 | 0 | 0.193439 | 884 | 28 | 66 | 31.571429 | 0.730715 | 0 | 0 | 0 | 0 | 0 | 0.151412 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.045455 | 0.090909 | 0.454545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
256a8cd6b55c2a6f3936b57c2975d63cfcb67d9a | 4,050 | py | Python | tests/test_functional.py | tirkarthi/humpty | 8652cf7b18a09d1a1d73465afd38581ef4e2369e | [
"BSD-3-Clause"
] | 14 | 2015-09-05T20:20:50.000Z | 2021-04-08T08:53:20.000Z | tests/test_functional.py | tirkarthi/humpty | 8652cf7b18a09d1a1d73465afd38581ef4e2369e | [
"BSD-3-Clause"
] | 6 | 2017-05-12T20:46:40.000Z | 2020-02-08T05:05:03.000Z | tests/test_functional.py | tirkarthi/humpty | 8652cf7b18a09d1a1d73465afd38581ef4e2369e | [
"BSD-3-Clause"
] | 8 | 2017-02-13T15:38:53.000Z | 2020-11-11T20:16:58.000Z | # -*- coding: utf-8 -*-
"""
"""
from __future__ import absolute_import
from contextlib import contextmanager
import imp
import posixpath
from zipfile import ZipFile
from click.testing import CliRunner
import pkginfo
import pytest
from six import PY3
def test_pyfile_compiled(packages, tmpdir):
packages.require_e... | 27.739726 | 79 | 0.66716 | 523 | 4,050 | 4.913958 | 0.307839 | 0.032685 | 0.059144 | 0.059144 | 0.280156 | 0.233463 | 0.204669 | 0.200778 | 0.200778 | 0.200778 | 0 | 0.018369 | 0.206914 | 4,050 | 145 | 80 | 27.931034 | 0.781756 | 0.082716 | 0 | 0.123711 | 0 | 0 | 0.166712 | 0.079026 | 0 | 0 | 0 | 0 | 0.164948 | 1 | 0.154639 | false | 0 | 0.175258 | 0 | 0.350515 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
256b989b63c37dd38e854142d7a19f85d5f03b4f | 1,401 | py | Python | diy_gym/addons/debug/joint_trace.py | wassname/diy-gym | 83232ae6971341a86683d316feecf4d34d3caf47 | [
"MIT"
] | null | null | null | diy_gym/addons/debug/joint_trace.py | wassname/diy-gym | 83232ae6971341a86683d316feecf4d34d3caf47 | [
"MIT"
] | null | null | null | diy_gym/addons/debug/joint_trace.py | wassname/diy-gym | 83232ae6971341a86683d316feecf4d34d3caf47 | [
"MIT"
] | null | null | null | import pybullet as p
from gym import spaces
import pybullet_planning as pbp
import numpy as np
from diy_gym.addons.addon import Addon
class JointTrace(Addon):
"""
JointTrace
Trace the follows a joints movements
"""
def __init__(self, parent, config):
super().__init__(parent, config)
... | 31.133333 | 120 | 0.581727 | 194 | 1,401 | 4.092784 | 0.381443 | 0.050378 | 0.02267 | 0.027708 | 0.141058 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016393 | 0.303355 | 1,401 | 44 | 121 | 31.840909 | 0.797131 | 0.057102 | 0 | 0.066667 | 0 | 0 | 0.024596 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.166667 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
256c54c224c3656056ad73a0292f2c0577a7fce0 | 1,612 | py | Python | ngraph/flex/flexargparser.py | NervanaSystems/ngraph-python | ac032c83c7152b615a9ad129d54d350f9d6a2986 | [
"Apache-2.0"
] | 18 | 2018-03-19T04:16:49.000Z | 2021-02-08T14:44:58.000Z | ngraph/flex/flexargparser.py | rsumner31/ngraph | 5e5c9bb9f24d95aee190b914dd2d44122fc3be53 | [
"Apache-2.0"
] | 2 | 2019-04-16T06:41:49.000Z | 2019-05-06T14:08:13.000Z | ngraph/flex/flexargparser.py | rsumner31/ngraph | 5e5c9bb9f24d95aee190b914dd2d44122fc3be53 | [
"Apache-2.0"
] | 11 | 2018-06-16T15:59:08.000Z | 2021-03-06T00:45:30.000Z | from __future__ import print_function
import ngraph.transformers as ngt
from ngraph.flex.names import flex_gpu_transformer_name
import argparse
class FlexNgraphArgparser():
"""
Flex specific command line args
"""
@staticmethod
def setup_flex_args(argParser):
"""
Add flex specific ... | 36.636364 | 97 | 0.614144 | 179 | 1,612 | 5.27933 | 0.396648 | 0.050794 | 0.063492 | 0.046561 | 0.165079 | 0.165079 | 0.091005 | 0 | 0 | 0 | 0 | 0.000904 | 0.313896 | 1,612 | 43 | 98 | 37.488372 | 0.853526 | 0.182382 | 0 | 0.269231 | 0 | 0 | 0.090909 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.153846 | 0 | 0.269231 | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2571f7e0a4f394d6c21f691f7de829e3237dd090 | 8,442 | py | Python | models/linnet.py | mengxiangke/bsn | df6458a44b8d8b442c086e158366dd296fab54cc | [
"Apache-2.0"
] | 5 | 2020-09-19T18:05:08.000Z | 2022-01-23T14:55:07.000Z | models/linnet.py | mengxiangke/bsn | df6458a44b8d8b442c086e158366dd296fab54cc | [
"Apache-2.0"
] | null | null | null | models/linnet.py | mengxiangke/bsn | df6458a44b8d8b442c086e158366dd296fab54cc | [
"Apache-2.0"
] | 7 | 2020-09-19T18:05:11.000Z | 2021-12-28T02:41:12.000Z | import os
from os.path import join as pjoin
import time
import numpy as np
import torch
from torch import nn
import torch.nn.functional as F
from torch.optim.lr_scheduler import CosineAnnealingLR
try:
from .radam import RAdam
except (ImportError, ModuleNotFoundError) as err:
from radam import RAdam
try:
... | 31.977273 | 98 | 0.47394 | 940 | 8,442 | 4.079787 | 0.18617 | 0.043807 | 0.031552 | 0.035202 | 0.482399 | 0.449544 | 0.396089 | 0.334811 | 0.275359 | 0.265711 | 0 | 0.045907 | 0.416844 | 8,442 | 263 | 99 | 32.098859 | 0.73309 | 0.045605 | 0 | 0.365169 | 0 | 0 | 0.008857 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.151685 | false | 0 | 0.073034 | 0.067416 | 0.365169 | 0.011236 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2516c459b4df1dceb074080d5a8ce6f229681ed | 16,278 | py | Python | mvmm/multi_view/SpectralPenSearchByBlockMVMM.py | idc9/mvmm | 64fce755a7cd53be9b08278484c7a4c77daf38d1 | [
"MIT"
] | 1 | 2021-08-17T13:22:54.000Z | 2021-08-17T13:22:54.000Z | mvmm/multi_view/SpectralPenSearchByBlockMVMM.py | idc9/mvmm | 64fce755a7cd53be9b08278484c7a4c77daf38d1 | [
"MIT"
] | null | null | null | mvmm/multi_view/SpectralPenSearchByBlockMVMM.py | idc9/mvmm | 64fce755a7cd53be9b08278484c7a4c77daf38d1 | [
"MIT"
] | null | null | null | from sklearn.base import clone
import pandas as pd
from abc import ABCMeta
from time import time
from datetime import datetime
import numpy as np
from sklearn.model_selection import ParameterGrid
from sklearn.base import BaseEstimator, MetaEstimatorMixin
from mvmm.utils import get_seeds
from mvmm.multi_view.utils impo... | 37.42069 | 128 | 0.531699 | 1,843 | 16,278 | 4.37873 | 0.170917 | 0.051797 | 0.012268 | 0.011152 | 0.219827 | 0.13891 | 0.121933 | 0.092193 | 0.070136 | 0.070136 | 0 | 0.006958 | 0.390773 | 16,278 | 434 | 129 | 37.506912 | 0.806796 | 0.181226 | 0 | 0.172131 | 0 | 0 | 0.042921 | 0 | 0 | 0 | 0 | 0.002304 | 0.004098 | 1 | 0.061475 | false | 0 | 0.053279 | 0.004098 | 0.204918 | 0.012295 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c251ec2f4862db71edcfa85809de82aead64c14b | 812 | py | Python | tests/unit/providers/traversal/test_delegate_py3.py | YelloFam/python-dependency-injector | 541131e33858ee1b8b5a7590d2bb9f929740ea1e | [
"BSD-3-Clause"
] | null | null | null | tests/unit/providers/traversal/test_delegate_py3.py | YelloFam/python-dependency-injector | 541131e33858ee1b8b5a7590d2bb9f929740ea1e | [
"BSD-3-Clause"
] | null | null | null | tests/unit/providers/traversal/test_delegate_py3.py | YelloFam/python-dependency-injector | 541131e33858ee1b8b5a7590d2bb9f929740ea1e | [
"BSD-3-Clause"
] | null | null | null | """Delegate provider traversal tests."""
from dependency_injector import providers
def test_traversal_provider():
another_provider = providers.Provider()
provider = providers.Delegate(another_provider)
all_providers = list(provider.traverse())
assert len(all_providers) == 1
assert another_provi... | 24.606061 | 51 | 0.752463 | 88 | 812 | 6.738636 | 0.295455 | 0.161889 | 0.094435 | 0.084317 | 0.290051 | 0.178752 | 0.178752 | 0.178752 | 0.178752 | 0 | 0 | 0.017804 | 0.169951 | 812 | 32 | 52 | 25.375 | 0.862018 | 0.041872 | 0 | 0.105263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.315789 | 1 | 0.105263 | false | 0 | 0.052632 | 0 | 0.157895 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c256ecf86fa244e6c6873a974253c22509fa427e | 3,380 | py | Python | source_dir/densenet_3d_estimator.py | ffeijoo/3d-DenseNet | baec68af07294ac5e432096055909ff08ea2e81c | [
"MIT"
] | null | null | null | source_dir/densenet_3d_estimator.py | ffeijoo/3d-DenseNet | baec68af07294ac5e432096055909ff08ea2e81c | [
"MIT"
] | null | null | null | source_dir/densenet_3d_estimator.py | ffeijoo/3d-DenseNet | baec68af07294ac5e432096055909ff08ea2e81c | [
"MIT"
] | null | null | null | import os
import tensorflow as tf
from densenet_3d_model import DenseNet3D
def model_fn(features, labels, mode, params):
# Define the model
model = DenseNet3D(
video_clips=features['video_clips'], labels=labels, **params)
# Get the prediction result
if mode == tf.estimator.ModeKeys.PRED... | 34.845361 | 108 | 0.671598 | 401 | 3,380 | 5.42394 | 0.306733 | 0.025287 | 0.022069 | 0.029425 | 0.207816 | 0.070805 | 0.045057 | 0 | 0 | 0 | 0 | 0.009815 | 0.216272 | 3,380 | 97 | 109 | 34.845361 | 0.81125 | 0.083432 | 0 | 0.059701 | 0 | 0 | 0.092418 | 0.013993 | 0 | 0 | 0 | 0 | 0 | 1 | 0.134328 | false | 0 | 0.044776 | 0.014925 | 0.328358 | 0.014925 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2611c72bea7ee655df6077231d5fe5c6f79d18c | 2,973 | py | Python | 2021/day.3.py | craignicol/adventofcode | 41ea3325adeb373dccc70d36a9a685eaf13359eb | [
"Apache-2.0"
] | null | null | null | 2021/day.3.py | craignicol/adventofcode | 41ea3325adeb373dccc70d36a9a685eaf13359eb | [
"Apache-2.0"
] | null | null | null | 2021/day.3.py | craignicol/adventofcode | 41ea3325adeb373dccc70d36a9a685eaf13359eb | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
from statistics import mode
def execute():
with open('./input/day.3.txt') as inp:
lines = inp.readlines()
data = [l.strip() for l in lines if len(l.strip()) > 0]
return power_consumption(data), life_support_rating(data)
tests_failed = 0
tests_executed = 0
def verify(a, b):... | 29.147059 | 95 | 0.667003 | 421 | 2,973 | 4.548694 | 0.299287 | 0.03342 | 0.018799 | 0.035509 | 0.308094 | 0.264752 | 0.226632 | 0.226632 | 0.226632 | 0.226632 | 0 | 0.070913 | 0.207871 | 2,973 | 102 | 96 | 29.147059 | 0.741826 | 0.007064 | 0 | 0.073171 | 0 | 0 | 0.042683 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.146341 | false | 0 | 0.012195 | 0.036585 | 0.292683 | 0.04878 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c263e873beab15ef3148ddea30b0dcbd4c5dcb1c | 6,194 | py | Python | src/propagation.py | haoningwu3639/EE229_Project_VideoStabilization | 74603e9dc5f10b3deffb2f4e0753c15dc8b9a92d | [
"MIT"
] | 1 | 2021-06-13T06:32:29.000Z | 2021-06-13T06:32:29.000Z | src/propagation.py | haoningwu3639/EE229_Project_VideoStabilization | 74603e9dc5f10b3deffb2f4e0753c15dc8b9a92d | [
"MIT"
] | null | null | null | src/propagation.py | haoningwu3639/EE229_Project_VideoStabilization | 74603e9dc5f10b3deffb2f4e0753c15dc8b9a92d | [
"MIT"
] | null | null | null | import cv2
import numpy as np
from scipy.signal import medfilt
from utils import init_dict, l2_dst
def keypoint_transform(H, keypoint):
"""
Input:
H: homography matrix of dimension (3*3)
keypoint: the (x, y) point to be transformed
Output:
keypoint_trans: Transformed point keypoint_trans = H ... | 37.768293 | 121 | 0.628996 | 979 | 6,194 | 3.712972 | 0.144025 | 0.145254 | 0.082531 | 0.037414 | 0.41403 | 0.368088 | 0.216506 | 0.195323 | 0.131499 | 0.131499 | 0 | 0.01804 | 0.257184 | 6,194 | 163 | 122 | 38 | 0.772006 | 0.240555 | 0 | 0.049383 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.049383 | false | 0 | 0.049383 | 0 | 0.148148 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c267cbc162d3355bf7a9a7568e5120c20f9a8b94 | 15,306 | py | Python | src/utils/scout_compiler.py | CheckPointSW/Scour | 2f9391da45803b44181f7973e4e7c93bc2208252 | [
"MIT"
] | 152 | 2018-08-13T05:48:59.000Z | 2022-03-30T15:18:44.000Z | src/utils/scout_compiler.py | CheckPointSW/Scour | 2f9391da45803b44181f7973e4e7c93bc2208252 | [
"MIT"
] | 7 | 2019-08-29T15:24:41.000Z | 2021-05-04T06:38:49.000Z | src/utils/scout_compiler.py | CheckPointSW/Scour | 2f9391da45803b44181f7973e4e7c93bc2208252 | [
"MIT"
] | 21 | 2018-08-13T19:11:29.000Z | 2022-02-28T15:25:47.000Z | import os
import struct
from .compilation.scout_flags import *
from .compilation.scout_files import *
from .compilation.arc_intel import arcIntel
from .compilation.arc_arm import arcArm, arcArmThumb
from .compilation.arc_mips import arcMips
from .context_creator import *
#############################... | 43.731429 | 163 | 0.616425 | 2,001 | 15,306 | 4.530735 | 0.191404 | 0.02537 | 0.024377 | 0.013126 | 0.185749 | 0.105228 | 0.089676 | 0.051291 | 0.026362 | 0.016104 | 0 | 0.00567 | 0.27401 | 15,306 | 349 | 164 | 43.856734 | 0.810205 | 0.347707 | 0 | 0.121212 | 0 | 0.030303 | 0.15341 | 0.028151 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.048485 | 0 | 0.151515 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c26ac1a91dabdb0034c28b5241ea7cfad78d438f | 3,375 | py | Python | jscatter/jscatter_test.py | flekschas/jupyter-scatter | 550eceb2311b0394caad83dbb399ed2f29e55af6 | [
"Apache-2.0"
] | 23 | 2021-02-03T02:05:47.000Z | 2022-03-17T14:53:39.000Z | jscatter/jscatter_test.py | manzt/jupyter-scatter | c38f94abfb655e03f407e7fcec80a883439796b5 | [
"Apache-2.0"
] | 5 | 2021-02-04T22:19:35.000Z | 2022-03-07T04:49:31.000Z | jscatter/jscatter_test.py | manzt/jupyter-scatter | c38f94abfb655e03f407e7fcec80a883439796b5 | [
"Apache-2.0"
] | 1 | 2021-06-15T14:14:47.000Z | 2021-06-15T14:14:47.000Z | import numpy as np
import pandas as pd
from .jscatter import Scatter, component_idx_to_name
from .utils import minmax_scale
def test_component_idx_to_name():
assert 'valueA' == component_idx_to_name(2)
assert 'valueB' == component_idx_to_name(3)
assert None == component_idx_to_name(4)
assert None == c... | 31.25 | 105 | 0.647704 | 497 | 3,375 | 4.2334 | 0.173038 | 0.109316 | 0.064164 | 0.089829 | 0.554183 | 0.502852 | 0.430133 | 0.389734 | 0.372148 | 0.313688 | 0 | 0.030105 | 0.183111 | 3,375 | 107 | 106 | 31.542056 | 0.733043 | 0 | 0 | 0.309524 | 0 | 0 | 0.061055 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.071429 | false | 0 | 0.047619 | 0 | 0.130952 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c26b638d6a13eb8cf7404de0290463e08f694482 | 10,917 | py | Python | py-world/world/main.py | Coastchb/Tacotron-2 | 0a61c8ff4fadfbd9d4157ee93b875e7d79fd750c | [
"MIT"
] | null | null | null | py-world/world/main.py | Coastchb/Tacotron-2 | 0a61c8ff4fadfbd9d4157ee93b875e7d79fd750c | [
"MIT"
] | null | null | null | py-world/world/main.py | Coastchb/Tacotron-2 | 0a61c8ff4fadfbd9d4157ee93b875e7d79fd750c | [
"MIT"
] | null | null | null | import logging
import sys
from typing import Iterable
# 3rd party imports
import numpy as np
# import matplotlib.pyplot as plt
from scipy.io.wavfile import read as wavread
# local imports
from .dio import dio
from .stonemask import stonemask
from .harvest import harvest
from .cheaptrick import cheaptrick
from .d4c im... | 42.644531 | 152 | 0.582944 | 1,394 | 10,917 | 4.422525 | 0.167145 | 0.026115 | 0.017518 | 0.018978 | 0.502352 | 0.455637 | 0.44558 | 0.436334 | 0.406164 | 0.392863 | 0 | 0.026172 | 0.29651 | 10,917 | 255 | 153 | 42.811765 | 0.776563 | 0.202895 | 0 | 0.374233 | 0 | 0 | 0.113881 | 0 | 0 | 0 | 0 | 0.003922 | 0.030675 | 1 | 0.067485 | false | 0 | 0.09816 | 0 | 0.226994 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c26b881427d152a0f3576dc1d7e1e0a52917ad82 | 8,165 | py | Python | src/universal_build/helpers/build_docker.py | prototypefund/universal-build | 809e641d5cf9dc1378cd0e0e3ea6e79f773ae4e7 | [
"MIT"
] | 17 | 2020-11-20T15:58:02.000Z | 2022-02-06T19:18:20.000Z | src/universal_build/helpers/build_docker.py | prototypefund/universal-build | 809e641d5cf9dc1378cd0e0e3ea6e79f773ae4e7 | [
"MIT"
] | 3 | 2021-02-17T13:47:44.000Z | 2021-10-14T13:53:15.000Z | src/universal_build/helpers/build_docker.py | prototypefund/universal-build | 809e641d5cf9dc1378cd0e0e3ea6e79f773ae4e7 | [
"MIT"
] | 6 | 2020-11-23T09:51:26.000Z | 2022-02-11T13:46:57.000Z | """Utilities to help building Docker images."""
import argparse
import os
import subprocess
from typing import List, Optional
from universal_build import build_utils
FLAG_DOCKER_IMAGE_PREFIX = "docker_image_prefix"
def parse_arguments(
input_args: List[str] = None, argument_parser: argparse.ArgumentParser = No... | 37.113636 | 205 | 0.679731 | 1,064 | 8,165 | 5.015038 | 0.168233 | 0.035982 | 0.065967 | 0.033733 | 0.490442 | 0.440217 | 0.397114 | 0.37069 | 0.334708 | 0.26593 | 0 | 0.00112 | 0.23466 | 8,165 | 219 | 206 | 37.283105 | 0.852776 | 0.369259 | 0 | 0.275 | 0 | 0.008333 | 0.148997 | 0.008717 | 0 | 0 | 0 | 0.004566 | 0 | 1 | 0.05 | false | 0 | 0.041667 | 0 | 0.15 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c26e8a076cd054bdeb3d8edfa2f30d5c046667f6 | 1,121 | py | Python | src/genie/libs/parser/ios/tests/ShowProcessesCpuSorted/cli/equal/golden_output_1_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 204 | 2018-06-27T00:55:27.000Z | 2022-03-06T21:12:18.000Z | src/genie/libs/parser/ios/tests/ShowProcessesCpuSorted/cli/equal/golden_output_1_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 468 | 2018-06-19T00:33:18.000Z | 2022-03-31T23:23:35.000Z | src/genie/libs/parser/ios/tests/ShowProcessesCpuSorted/cli/equal/golden_output_1_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 309 | 2019-01-16T20:21:07.000Z | 2022-03-30T12:56:41.000Z | expected_output = {
"sort": {
1: {
"invoked": 3321960,
"usecs": 109,
"tty": 0,
"one_min_cpu": 0.54,
"process": "PIM Process",
"five_min_cpu": 0.48,
"runtime": 362874,
"pid": 368,
"five_sec_cpu": 1.03,... | 26.069767 | 75 | 0.407672 | 119 | 1,121 | 3.579832 | 0.411765 | 0.112676 | 0.08216 | 0.070423 | 0.098592 | 0.098592 | 0 | 0 | 0 | 0 | 0 | 0.164297 | 0.435326 | 1,121 | 42 | 76 | 26.690476 | 0.508689 | 0 | 0 | 0.071429 | 0 | 0 | 0.317574 | 0.039251 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c26f5c129b7cbf79a66da9961a7b6a906731cbb8 | 4,702 | py | Python | watcher_metering/publisher/publisher.py | b-com/watcher-metering | 7c09b243347146e5a421700d5b07d1d0a5c4d604 | [
"Apache-2.0"
] | 2 | 2015-10-22T19:44:57.000Z | 2017-06-15T15:01:07.000Z | watcher_metering/publisher/publisher.py | b-com/watcher-metering | 7c09b243347146e5a421700d5b07d1d0a5c4d604 | [
"Apache-2.0"
] | 1 | 2015-10-26T13:52:58.000Z | 2015-10-26T13:52:58.000Z | watcher_metering/publisher/publisher.py | b-com/watcher-metering | 7c09b243347146e5a421700d5b07d1d0a5c4d604 | [
"Apache-2.0"
] | 4 | 2015-10-10T13:59:39.000Z | 2020-05-29T11:47:07.000Z | # -*- encoding: utf-8 -*-
# Copyright (c) 2015 b<>com
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 38.227642 | 79 | 0.652276 | 595 | 4,702 | 4.954622 | 0.294118 | 0.057666 | 0.024423 | 0.035617 | 0.145862 | 0.115332 | 0.097693 | 0.097693 | 0.097693 | 0.097693 | 0 | 0.003497 | 0.270098 | 4,702 | 122 | 80 | 38.540984 | 0.855478 | 0.317312 | 0 | 0.057143 | 0 | 0 | 0.073684 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114286 | false | 0 | 0.071429 | 0.014286 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2722d474ea8fa2b576a6ea93761caf6c92cb828 | 5,547 | py | Python | export_pdf_decaissement.py | Ciwara/DE-ENCAISSEMENT | bd816b40c857a768e866535b46b30ae6fb5020e9 | [
"Apache-2.0"
] | null | null | null | export_pdf_decaissement.py | Ciwara/DE-ENCAISSEMENT | bd816b40c857a768e866535b46b30ae6fb5020e9 | [
"Apache-2.0"
] | null | null | null | export_pdf_decaissement.py | Ciwara/DE-ENCAISSEMENT | bd816b40c857a768e866535b46b30ae6fb5020e9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding= UTF-8 -*-
# Fad
from reportlab.pdfgen import canvas
from reportlab.lib.pagesizes import A4
# setup the empty canvas
from io import FileIO as file
from reportlab.platypus import Flowable
# from Common.pyPdf import PdfFileWriter, PdfFileReader
from PyPDF2 import PdfFileWriter, PdfFil... | 33.415663 | 110 | 0.581035 | 714 | 5,547 | 4.42577 | 0.35014 | 0.03481 | 0.037975 | 0.013291 | 0.110443 | 0.058228 | 0.058228 | 0.058228 | 0.027848 | 0.027848 | 0 | 0.041404 | 0.28592 | 5,547 | 165 | 111 | 33.618182 | 0.756122 | 0.138453 | 0 | 0.051724 | 0 | 0 | 0.07152 | 0.006367 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.103448 | 0 | 0.172414 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c274168a8c5a204b07518e6afd5c3fd89f5eb019 | 9,073 | py | Python | pose/datasets/real_animal_all.py | chaneyddtt/UDA-Animal-Pose | f1ebfda860a2585c60fe86ce1632e910ac97ebc5 | [
"MIT"
] | 61 | 2021-03-30T08:34:24.000Z | 2022-03-30T02:45:46.000Z | pose/datasets/real_animal_all.py | chaneyddtt/UDA-Animal-Pose | f1ebfda860a2585c60fe86ce1632e910ac97ebc5 | [
"MIT"
] | 13 | 2021-04-10T12:46:58.000Z | 2022-03-11T10:40:02.000Z | pose/datasets/real_animal_all.py | chaneyddtt/UDA-Animal-Pose | f1ebfda860a2585c60fe86ce1632e910ac97ebc5 | [
"MIT"
] | 2 | 2021-07-22T04:53:44.000Z | 2022-02-15T14:19:02.000Z | from __future__ import print_function, absolute_import
import random
import torch.utils.data as data
from pose.utils.osutils import *
from pose.utils.transforms import *
from scipy.io import loadmat
import argparse
class Real_Animal_All(data.Dataset):
def __init__(self, is_train=True, is_aug=False, **kwargs):
... | 45.139303 | 136 | 0.554502 | 1,235 | 9,073 | 3.868826 | 0.193522 | 0.024487 | 0.013813 | 0.015697 | 0.224152 | 0.166388 | 0.130808 | 0.105693 | 0.080578 | 0.061323 | 0 | 0.030671 | 0.310041 | 9,073 | 200 | 137 | 45.365 | 0.732588 | 0.082222 | 0 | 0.063694 | 0 | 0 | 0.086496 | 0.01807 | 0.006369 | 0 | 0 | 0 | 0 | 1 | 0.038217 | false | 0 | 0.044586 | 0.006369 | 0.121019 | 0.070064 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2769ae34a085e912e6eacf2499ecd7dc14d3eeb | 492 | py | Python | cap6/ex6.py | felipesch92/livroPython | 061b1c095c3ec2d25fb1d5fdfbf9e9dbe10b3307 | [
"MIT"
] | null | null | null | cap6/ex6.py | felipesch92/livroPython | 061b1c095c3ec2d25fb1d5fdfbf9e9dbe10b3307 | [
"MIT"
] | null | null | null | cap6/ex6.py | felipesch92/livroPython | 061b1c095c3ec2d25fb1d5fdfbf9e9dbe10b3307 | [
"MIT"
] | null | null | null | p = [1, 4, 9, 10, 20, 25]
e1 = int(input('Primeiro elemento: '))
e2 = int(input('Segundo elemento: '))
x = 0
achou = False
primeiro = 0
while x < len(p):
if p[x] == e1:
print(f'Elemento 1 encontrado na posição {x} da lista!')
if primeiro == 0:
primeiro = 1
if p[x] == e2:
prin... | 27.333333 | 64 | 0.556911 | 75 | 492 | 3.653333 | 0.413333 | 0.09854 | 0.029197 | 0.145985 | 0.335766 | 0.335766 | 0.335766 | 0.335766 | 0.335766 | 0.335766 | 0 | 0.063584 | 0.296748 | 492 | 17 | 65 | 28.941176 | 0.728324 | 0 | 0 | 0.117647 | 0 | 0 | 0.355691 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.176471 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c278440f2c1e433cd58705bc68bd303258b8e21b | 8,084 | py | Python | lib/datasets/myvg.py | zhydong/faster-rcnn.pytorch | 36fa8b9718228edb4702b039deab924c40b973f5 | [
"MIT"
] | null | null | null | lib/datasets/myvg.py | zhydong/faster-rcnn.pytorch | 36fa8b9718228edb4702b039deab924c40b973f5 | [
"MIT"
] | null | null | null | lib/datasets/myvg.py | zhydong/faster-rcnn.pytorch | 36fa8b9718228edb4702b039deab924c40b973f5 | [
"MIT"
] | null | null | null | """
Visual Genome in Scene Graph Generation by Iterative Message Passing split
"""
import os
import cv2
import json
import h5py
import pickle
import numpy as np
import scipy.sparse
import os.path as osp
from datasets.imdb import imdb
from model.utils.config import cfg
from IPython import embed
class vg_sggimp(imdb)... | 36.579186 | 114 | 0.588323 | 1,102 | 8,084 | 4.072595 | 0.211434 | 0.057709 | 0.042112 | 0.034314 | 0.235963 | 0.18672 | 0.098039 | 0.07041 | 0.07041 | 0.07041 | 0 | 0.022312 | 0.295893 | 8,084 | 220 | 115 | 36.745455 | 0.766163 | 0.169594 | 0 | 0.014925 | 0 | 0 | 0.065671 | 0 | 0 | 0 | 0 | 0.004545 | 0.029851 | 1 | 0.067164 | false | 0 | 0.08209 | 0 | 0.208955 | 0.007463 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c279e40781e717d53e7e9d1d3467cb0c61eb0740 | 6,213 | py | Python | src/rfid/__init__.py | whaleygeek/SL030 | ff96337cd1619b4a5bd8097a5d5dd0455d2e1674 | [
"MIT"
] | null | null | null | src/rfid/__init__.py | whaleygeek/SL030 | ff96337cd1619b4a5bd8097a5d5dd0455d2e1674 | [
"MIT"
] | 8 | 2020-11-14T11:01:38.000Z | 2020-11-18T15:06:07.000Z | src/rfid/__init__.py | whaleygeek/SL030 | ff96337cd1619b4a5bd8097a5d5dd0455d2e1674 | [
"MIT"
] | 2 | 2020-07-23T14:41:31.000Z | 2020-11-19T13:19:38.000Z | # SL030 RFID reader driver for skpang supplied SL030 Mifare reader
# (c) 2013-2014 Thinking Binaries Ltd, David Whale
#===============================================================================
# CONFIGURATION
#
# You can change these configuration items either by editing them in this
# file, or by refering to th... | 26.21519 | 80 | 0.63013 | 859 | 6,213 | 4.488941 | 0.317811 | 0.010892 | 0.017116 | 0.01556 | 0.210581 | 0.155342 | 0.084544 | 0.069502 | 0.054461 | 0.022303 | 0 | 0.022273 | 0.21954 | 6,213 | 236 | 81 | 26.326271 | 0.772943 | 0.404474 | 0 | 0.167939 | 0 | 0 | 0.100996 | 0.012728 | 0 | 0 | 0.013282 | 0 | 0 | 1 | 0.160305 | false | 0 | 0.038168 | 0.015267 | 0.412214 | 0.007634 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c27a8632891f52402501c008dbb668b6e46297a0 | 3,821 | py | Python | pyjapt/lexing.py | alejandroklever/pyjapt | 21b11fd4b5b21cabcc59673538c473e33af9e646 | [
"MIT"
] | 8 | 2020-07-23T06:19:28.000Z | 2021-11-06T04:26:47.000Z | pyjapt/lexing.py | alejandroklever/PyJapt | 21b11fd4b5b21cabcc59673538c473e33af9e646 | [
"MIT"
] | null | null | null | pyjapt/lexing.py | alejandroklever/PyJapt | 21b11fd4b5b21cabcc59673538c473e33af9e646 | [
"MIT"
] | null | null | null | import re
from typing import List, Any, Generator, Tuple, Pattern, Optional, Callable, Dict
class Token:
"""
A Token class.
Parameters
----------
lex: str
Token's lexeme.
token_type: Enum
Token's type.
"""
def __init__(self, lex, token_type, line=0, column=0):
... | 33.517544 | 111 | 0.576289 | 478 | 3,821 | 4.485356 | 0.196653 | 0.041978 | 0.024254 | 0.026586 | 0.04944 | 0.030784 | 0 | 0 | 0 | 0 | 0 | 0.002631 | 0.303585 | 3,821 | 113 | 112 | 33.814159 | 0.803082 | 0.092384 | 0 | 0.078947 | 0 | 0 | 0.053318 | 0.006517 | 0 | 0 | 0 | 0 | 0 | 1 | 0.144737 | false | 0 | 0.026316 | 0.078947 | 0.276316 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c27b06a45e2113932d5e033fa31486f2b933313d | 3,975 | py | Python | src/jobs/management/commands/try_retrain.py | fleur101/predict-python | d40c876d919232bbb77904e050b182c875bc36fa | [
"MIT"
] | 12 | 2018-06-27T08:09:18.000Z | 2021-10-10T22:19:04.000Z | src/jobs/management/commands/try_retrain.py | fleur101/predict-python | d40c876d919232bbb77904e050b182c875bc36fa | [
"MIT"
] | 17 | 2018-06-12T17:36:11.000Z | 2020-11-16T21:23:22.000Z | src/jobs/management/commands/try_retrain.py | fleur101/predict-python | d40c876d919232bbb77904e050b182c875bc36fa | [
"MIT"
] | 16 | 2018-08-02T14:40:17.000Z | 2021-11-12T12:28:46.000Z | import random
from django.core.management.base import BaseCommand
from pandas import Series
from src.cache.cache import put_labelled_logs
from src.core.core import get_encoded_logs
from src.jobs.models import Job
from src.jobs.tasks import prediction_task
from src.runtime.tasks import create_prediction_job
from src.... | 38.592233 | 103 | 0.585409 | 477 | 3,975 | 4.622642 | 0.295597 | 0.058957 | 0.035374 | 0.021769 | 0.179138 | 0.109297 | 0.043537 | 0.026304 | 0.026304 | 0.026304 | 0 | 0.008277 | 0.331321 | 3,975 | 103 | 104 | 38.592233 | 0.821294 | 0.066164 | 0 | 0.051282 | 0 | 0 | 0.060238 | 0 | 0 | 0 | 0 | 0.009709 | 0.025641 | 1 | 0.012821 | false | 0 | 0.115385 | 0 | 0.153846 | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c27ba0e5861f097686336335cdd99739a27bfdc4 | 1,646 | py | Python | flydra_camnode/flydra_camnode/camnode_utils.py | elhananby/flydra | 09b86859b1863700cdea0bbcdd4758da6c83930b | [
"Apache-2.0",
"MIT"
] | 45 | 2017-08-25T06:46:56.000Z | 2021-08-29T16:42:49.000Z | flydra_camnode/flydra_camnode/camnode_utils.py | elhananby/flydra | 09b86859b1863700cdea0bbcdd4758da6c83930b | [
"Apache-2.0",
"MIT"
] | 7 | 2017-10-16T10:46:20.000Z | 2020-12-03T16:42:55.000Z | flydra_camnode/flydra_camnode/camnode_utils.py | elhananby/flydra | 09b86859b1863700cdea0bbcdd4758da6c83930b | [
"Apache-2.0",
"MIT"
] | 21 | 2018-04-11T09:06:40.000Z | 2021-12-26T23:38:40.000Z | #emacs, this is -*-Python-*- mode
from __future__ import division
from __future__ import with_statement
import contextlib
import threading, Queue
class ChainLink(object):
"""essentially a linked list of threads"""
def __init__(self):
self._queue = Queue.Queue()
self._lock = threading.Lock()
... | 27.433333 | 77 | 0.592345 | 202 | 1,646 | 4.633663 | 0.361386 | 0.042735 | 0.034188 | 0.047009 | 0.115385 | 0.064103 | 0 | 0 | 0 | 0 | 0 | 0 | 0.313487 | 1,646 | 59 | 78 | 27.898305 | 0.828319 | 0.191373 | 0 | 0.170732 | 0 | 0 | 0.023791 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.146341 | false | 0 | 0.097561 | 0 | 0.341463 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c27c8a4376df70bee9dccb2ba1429b510d6719df | 3,439 | py | Python | app.py | Nerolation/Ethereum-Notary-Service-Prototype | ea5487a29813caee1e4be9edac495d89010c593e | [
"MIT"
] | null | null | null | app.py | Nerolation/Ethereum-Notary-Service-Prototype | ea5487a29813caee1e4be9edac495d89010c593e | [
"MIT"
] | null | null | null | app.py | Nerolation/Ethereum-Notary-Service-Prototype | ea5487a29813caee1e4be9edac495d89010c593e | [
"MIT"
] | null | null | null | from flask import Flask, render_template, request, redirect, logging, make_response, json
from ethw3 import genkey, create_chain_data, verify_chain_data, create_acct, mine, history_slice
from utils_s3 import load_from_fetchlist
# Initialize flask an other global variables
app = Flask(__name__)
address, username, addr,... | 37.791209 | 198 | 0.628962 | 385 | 3,439 | 5.438961 | 0.272727 | 0.042025 | 0.040115 | 0.030564 | 0.234479 | 0.146132 | 0.095511 | 0.095511 | 0.095511 | 0.095511 | 0 | 0.01935 | 0.248619 | 3,439 | 90 | 199 | 38.211111 | 0.791022 | 0.012213 | 0 | 0.123457 | 0 | 0 | 0.043004 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061728 | false | 0 | 0.037037 | 0 | 0.17284 | 0.012346 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c27d5e7133ef2989b1ce8e0b881cabce3f8f0dab | 8,800 | py | Python | python/dsbox/planner/common/library.py | RqS/dsbox-ta2 | 43800d4365a154684fa5b9551c2c1cd21ec7139c | [
"MIT"
] | null | null | null | python/dsbox/planner/common/library.py | RqS/dsbox-ta2 | 43800d4365a154684fa5b9551c2c1cd21ec7139c | [
"MIT"
] | null | null | null | python/dsbox/planner/common/library.py | RqS/dsbox-ta2 | 43800d4365a154684fa5b9551c2c1cd21ec7139c | [
"MIT"
] | null | null | null | import json
import os
from datetime import date
from typing import List, Dict
from d3m_metadata.metadata import PrimitiveMetadata, PrimitiveFamily, PrimitiveAlgorithmType
from d3m import index
from dsbox.planner.common.primitive import Primitive
from dsbox.schema.profile_schema import DataProfileType as dpt
from col... | 42.307692 | 112 | 0.611932 | 1,009 | 8,800 | 5.166501 | 0.212091 | 0.04297 | 0.031076 | 0.019183 | 0.150201 | 0.116056 | 0.070209 | 0.070209 | 0.05141 | 0.05141 | 0 | 0.003197 | 0.289091 | 8,800 | 207 | 113 | 42.512077 | 0.830083 | 0.081023 | 0 | 0.12963 | 0 | 0 | 0.050672 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.067901 | 0.030864 | 0.271605 | 0.030864 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c27e29fee5d31c11bd5413203986db3871f9139b | 3,610 | py | Python | gmsh_cad/emi_system_gap.py | MiroK/emi-cylinders | ccbbfa51003fc4fe8abc257dee916e229398c520 | [
"MIT"
] | null | null | null | gmsh_cad/emi_system_gap.py | MiroK/emi-cylinders | ccbbfa51003fc4fe8abc257dee916e229398c520 | [
"MIT"
] | null | null | null | gmsh_cad/emi_system_gap.py | MiroK/emi-cylinders | ccbbfa51003fc4fe8abc257dee916e229398c520 | [
"MIT"
] | 1 | 2018-05-30T14:26:59.000Z | 2018-05-30T14:26:59.000Z | from dolfin import *
parameters['form_compiler']['representation'] = 'uflacs'
parameters['form_compiler']['cpp_optimize'] = True
parameters['form_compiler']['cpp_optimize_flags'] = '-O3 -ffast-math -march=native'
parameters['ghost_mode'] = 'shared_facet'
mesh_file = 'cell_grid.h5'
comm = mpi_comm_world()
h5 = HDF5Fi... | 38.404255 | 84 | 0.650139 | 585 | 3,610 | 3.94188 | 0.365812 | 0.015611 | 0.028621 | 0.029922 | 0.17693 | 0.107546 | 0.06765 | 0.036427 | 0 | 0 | 0 | 0.024757 | 0.172022 | 3,610 | 93 | 85 | 38.817204 | 0.746738 | 0.370637 | 0 | 0 | 0 | 0 | 0.113839 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.019231 | 0 | 0.019231 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2818a738014513d0cd2309428321fbec20d821d | 2,855 | py | Python | commands/load_metadata/products.py | DataViva/dataviva-scripts | 1e36f11e2849c33b8118cefe1755d312b19c0ecd | [
"MIT"
] | 10 | 2015-05-20T14:41:23.000Z | 2020-05-27T22:36:19.000Z | commands/load_metadata/products.py | DataViva/dataviva-scripts | 1e36f11e2849c33b8118cefe1755d312b19c0ecd | [
"MIT"
] | 11 | 2018-05-17T14:30:58.000Z | 2018-09-06T21:20:34.000Z | commands/load_metadata/products.py | DataViva/dataviva-scripts | 1e36f11e2849c33b8118cefe1755d312b19c0ecd | [
"MIT"
] | 12 | 2015-07-14T13:46:41.000Z | 2019-09-20T00:47:10.000Z | import click
import pandas
import pickle
import json
from clients import s3, redis
@click.command()
@click.option('--both', 'upload', flag_value='s3_and_redis', default=True, help='Upload metadata to both s3 and Redis')
@click.option('--s3', 'upload', flag_value='only_s3', help='Upload metadata only to s3')
@click.op... | 33.588235 | 119 | 0.561121 | 322 | 2,855 | 4.720497 | 0.198758 | 0.110526 | 0.073684 | 0.026316 | 0.454605 | 0.296711 | 0.196711 | 0.146053 | 0.1 | 0.1 | 0 | 0.01 | 0.299475 | 2,855 | 84 | 120 | 33.988095 | 0.75 | 0 | 0 | 0.161765 | 0 | 0 | 0.190193 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014706 | false | 0 | 0.073529 | 0 | 0.088235 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c282ea17115bac2dbe64555ce16709d1698a3231 | 5,158 | py | Python | docker/entrypoint_benchmark.py | augustoproiete-forks/OasisLMF--OasisLMF | 560749e9dd7d8bd84307cd2767517b3e1d3a1c01 | [
"BSD-3-Clause"
] | 88 | 2018-03-24T11:57:10.000Z | 2022-03-21T13:04:41.000Z | docker/entrypoint_benchmark.py | augustoproiete-forks/OasisLMF--OasisLMF | 560749e9dd7d8bd84307cd2767517b3e1d3a1c01 | [
"BSD-3-Clause"
] | 558 | 2018-03-14T14:16:30.000Z | 2022-03-29T12:48:14.000Z | docker/entrypoint_benchmark.py | augustoproiete-forks/OasisLMF--OasisLMF | 560749e9dd7d8bd84307cd2767517b3e1d3a1c01 | [
"BSD-3-Clause"
] | 41 | 2018-04-09T11:13:12.000Z | 2021-10-05T14:43:11.000Z | #!/usr/bin/env python3
import argparse
import os
import io
import subprocess
import sys
from tabulate import tabulate
def parse_args():
desc = (
'Performance testing script for OasisLMF input file generation'
'This script expects a set of nested sub directories each containing'
'acc.csv, ... | 35.819444 | 144 | 0.647732 | 726 | 5,158 | 4.374656 | 0.283747 | 0.053212 | 0.09068 | 0.049118 | 0.178841 | 0.158375 | 0.095088 | 0.027078 | 0.027078 | 0.027078 | 0 | 0.01535 | 0.216945 | 5,158 | 143 | 145 | 36.06993 | 0.770983 | 0.203373 | 0 | 0.063158 | 0 | 0.010526 | 0.208095 | 0.014154 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0.010526 | 0.063158 | 0 | 0.157895 | 0.094737 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2844b9558a0aad3fcd5e9e967cacb650e5737e3 | 1,427 | py | Python | GUI/index.py | Abhishek2019/Speech | 416827a02279cdafd268ef2748d4f4f52b0f0e15 | [
"MIT"
] | null | null | null | GUI/index.py | Abhishek2019/Speech | 416827a02279cdafd268ef2748d4f4f52b0f0e15 | [
"MIT"
] | null | null | null | GUI/index.py | Abhishek2019/Speech | 416827a02279cdafd268ef2748d4f4f52b0f0e15 | [
"MIT"
] | null | null | null | # from tkinter import *
# root = Tk()
# frametop = Frame(root)
# framebottom = Frame(root)
# frameleft = Frame(framebottom)
# frameright = Frame(framebottom)
# text = Text(frametop)
# scroll = Scrollbar(frametop, command=text.yview)
# btn1 = Button(frameleft, text="Course")
# btn2 = Button(frameleft, text="Abscences... | 29.122449 | 63 | 0.716889 | 220 | 1,427 | 4.604545 | 0.236364 | 0.078973 | 0.071076 | 0.076999 | 0.40079 | 0.222113 | 0.222113 | 0.222113 | 0.222113 | 0.222113 | 0 | 0.029898 | 0.10932 | 1,427 | 49 | 64 | 29.122449 | 0.767113 | 0.684653 | 0 | 0 | 0 | 0 | 0.018779 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.090909 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c288905ef79b8a14c466f9e48a449c4d916507ed | 7,815 | py | Python | summer21/mpqa_dataprocessing/mpqa3_to_dict.py | gu-sentiment-2021/sent | a3874a7286c965684d92fcf78e4091ad3a33aae1 | [
"MIT"
] | null | null | null | summer21/mpqa_dataprocessing/mpqa3_to_dict.py | gu-sentiment-2021/sent | a3874a7286c965684d92fcf78e4091ad3a33aae1 | [
"MIT"
] | null | null | null | summer21/mpqa_dataprocessing/mpqa3_to_dict.py | gu-sentiment-2021/sent | a3874a7286c965684d92fcf78e4091ad3a33aae1 | [
"MIT"
] | null | null | null | # mpqa3_to_dict helps to convert MPQA stand-off format to python dictionaries.
# It provides the following functionalities:
# 1) Clean up the MPQA 3.0 corpus
# 2) Convert an MPQA document to a dictionary
# 3) Convert an entire corpus to a dictionary
import os
import re
HAS_LIST_OF_IDS = [ # These attributes may have ... | 47.078313 | 124 | 0.583109 | 955 | 7,815 | 4.671204 | 0.235602 | 0.016812 | 0.018157 | 0.012329 | 0.325263 | 0.237839 | 0.226182 | 0.19054 | 0.136516 | 0.121946 | 0 | 0.015697 | 0.307102 | 7,815 | 165 | 125 | 47.363636 | 0.808126 | 0.346129 | 0 | 0.116505 | 0 | 0 | 0.172477 | 0.043273 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048544 | false | 0 | 0.019417 | 0 | 0.135922 | 0.009709 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c28cb4aefdf64fe8ea7d0c518f1c67e77950a4da | 2,534 | py | Python | marketgrab/views.py | colinmcglone/window-time | 74ed90440b9bb93fa569534c7557972242569d3a | [
"MIT"
] | null | null | null | marketgrab/views.py | colinmcglone/window-time | 74ed90440b9bb93fa569534c7557972242569d3a | [
"MIT"
] | null | null | null | marketgrab/views.py | colinmcglone/window-time | 74ed90440b9bb93fa569534c7557972242569d3a | [
"MIT"
] | null | null | null | import os
from django.conf import *
from django.shortcuts import render_to_response, render
from django.http import HttpResponse
from .models import Data, MovingAvg, Movements, Sigma
from datetime import datetime
from django.template import RequestContext
def index(request):
ticker = Data.objects.values_list('tic... | 33.786667 | 97 | 0.609708 | 308 | 2,534 | 4.938312 | 0.282468 | 0.050625 | 0.112426 | 0.118343 | 0.275477 | 0.259698 | 0.259698 | 0.191322 | 0.191322 | 0 | 0 | 0.003156 | 0.249803 | 2,534 | 74 | 98 | 34.243243 | 0.796949 | 0 | 0 | 0 | 0 | 0 | 0.131413 | 0.02644 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.122807 | 0 | 0.22807 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c291f9afa8d4a69dbe3f4791438b896f2870685a | 1,690 | py | Python | setup.py | krismolendyke/den | aa18bb3ffc07688dbe5f9cbea9ba39fb9b67d37d | [
"MIT"
] | 6 | 2015-06-20T21:54:21.000Z | 2017-11-29T03:00:15.000Z | setup.py | krismolendyke/den | aa18bb3ffc07688dbe5f9cbea9ba39fb9b67d37d | [
"MIT"
] | 1 | 2017-02-13T09:08:54.000Z | 2017-02-13T09:33:46.000Z | setup.py | krismolendyke/den | aa18bb3ffc07688dbe5f9cbea9ba39fb9b67d37d | [
"MIT"
] | null | null | null | """setuptools entry point."""
from codecs import open
from os import path
from setuptools import find_packages, setup
HERE = path.abspath(path.dirname(__file__))
with open(path.join(HERE, "README.rst"), encoding="utf-8") as f:
LONG_DESCRIPTION = f.read()
with open(path.join(HERE, "src", "den", "VERSION")) as ve... | 29.649123 | 118 | 0.57929 | 187 | 1,690 | 5.090909 | 0.59893 | 0.047269 | 0.078782 | 0.033613 | 0.042017 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019033 | 0.253846 | 1,690 | 56 | 119 | 30.178571 | 0.735924 | 0.013609 | 0 | 0.08 | 0 | 0 | 0.344973 | 0.014449 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.06 | 0 | 0.06 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c293b3a4ad307a538250b63b7b3b8429f3fda47c | 25,807 | py | Python | apgl/util/Util.py | mathemaphysics/APGL | 6ca7c176e04017feeae00c4cee069fd126df0fbc | [
"BSD-3-Clause"
] | 13 | 2015-02-19T14:39:09.000Z | 2021-04-12T01:22:32.000Z | apgl/util/Util.py | mathemaphysics/APGL | 6ca7c176e04017feeae00c4cee069fd126df0fbc | [
"BSD-3-Clause"
] | 1 | 2020-07-29T07:09:33.000Z | 2020-07-29T07:09:33.000Z | apgl/util/Util.py | mathemaphysics/APGL | 6ca7c176e04017feeae00c4cee069fd126df0fbc | [
"BSD-3-Clause"
] | 7 | 2015-03-16T07:26:49.000Z | 2021-01-12T06:57:27.000Z | '''
Created on 31 Jul 2009
@author: charanpal
'''
from __future__ import print_function
import sys
import os
import numpy
from contextlib import contextmanager
import numpy.random as rand
import logging
import scipy.linalg
import scipy.sparse as sparse
import scipy.special
import pickle
from apgl.util.Parameter imp... | 35.016282 | 209 | 0.551168 | 3,282 | 25,807 | 4.308349 | 0.17794 | 0.037129 | 0.003819 | 0.006223 | 0.357992 | 0.32744 | 0.283239 | 0.263154 | 0.212447 | 0.181117 | 0 | 0.016031 | 0.337699 | 25,807 | 736 | 210 | 35.063859 | 0.811257 | 0.242454 | 0 | 0.320186 | 0 | 0.00464 | 0.078187 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088167 | false | 0.00232 | 0.032483 | 0 | 0.213457 | 0.025522 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c29512076f4adfe1c703eb019e1315c92cfb30fe | 3,342 | py | Python | tasks/utilities/runner.py | faisaltheparttimecoder/carelogBackend | b0635e72338e14dad24f1ee0329212cd60a3e83a | [
"MIT"
] | 1 | 2020-04-09T11:45:14.000Z | 2020-04-09T11:45:14.000Z | tasks/utilities/runner.py | faisaltheparttimecoder/carelogBackend | b0635e72338e14dad24f1ee0329212cd60a3e83a | [
"MIT"
] | 2 | 2020-06-05T18:04:30.000Z | 2021-06-10T20:11:46.000Z | tasks/utilities/runner.py | faisaltheparttimecoder/carelogBackend | b0635e72338e14dad24f1ee0329212cd60a3e83a | [
"MIT"
] | null | null | null | import datetime, os
from django.contrib.auth.models import User
from products.lib.data_load import LoadProducts
from zendesk.lib.load_tickets import LoadTickets
from tasks.engine.maintenance import Maintenance
from tasks.models import LastRun
class TaskRunner:
def __init__(self):
"""
Initialize t... | 37.550562 | 124 | 0.648115 | 413 | 3,342 | 4.937046 | 0.254237 | 0.054929 | 0.048063 | 0.079451 | 0.33693 | 0.205493 | 0.194213 | 0.093183 | 0.053948 | 0.053948 | 0 | 0.01201 | 0.252543 | 3,342 | 88 | 125 | 37.977273 | 0.804243 | 0.131957 | 0 | 0 | 0 | 0 | 0.123429 | 0.044346 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0.038462 | 0.115385 | 0 | 0.307692 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c298455b91c04670dd6ada8face196e4608ff57c | 1,667 | py | Python | code/mlp-test.py | asdlei99/firewall | fd2819fab4cfde9989350397300efd4321e197fa | [
"MIT"
] | 1 | 2020-03-01T21:17:01.000Z | 2020-03-01T21:17:01.000Z | code/mlp-test.py | asdlei99/firewall | fd2819fab4cfde9989350397300efd4321e197fa | [
"MIT"
] | null | null | null | code/mlp-test.py | asdlei99/firewall | fd2819fab4cfde9989350397300efd4321e197fa | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sat Oct 23 10:51:14 2018
@author: peter
"""
from sklearn.feature_extraction.text import TfidfVectorizer
import os
from sklearn.model_selection import train_test_split
from sklearn.neural_network import MLPClassifier
from sklearn import metrics
import urllib.parse
from sklearn.ex... | 27.327869 | 98 | 0.720456 | 238 | 1,667 | 4.945378 | 0.487395 | 0.046729 | 0.023789 | 0.018692 | 0.025489 | 0.025489 | 0 | 0 | 0 | 0 | 0 | 0.018271 | 0.146371 | 1,667 | 61 | 99 | 27.327869 | 0.808855 | 0.068386 | 0 | 0 | 0 | 0 | 0.076023 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0 | 0.179487 | 0 | 0.230769 | 0.128205 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c298b609bf3203502c3817910d7a265918d513ee | 3,176 | py | Python | crud.py | wileeam/discount-code-service | 74ccd0564115c636ed8d825e41d8e7d1bec33ded | [
"Apache-2.0"
] | null | null | null | crud.py | wileeam/discount-code-service | 74ccd0564115c636ed8d825e41d8e7d1bec33ded | [
"Apache-2.0"
] | null | null | null | crud.py | wileeam/discount-code-service | 74ccd0564115c636ed8d825e41d8e7d1bec33ded | [
"Apache-2.0"
] | null | null | null | import random
import string
from sqlalchemy.orm import Session
import models, schemas
def get_brand(db: Session, brand_id: int):
return db.query(models.Brand).filter(models.Brand.id == brand_id).first()
def get_brand_by_name(db: Session, name: str):
return db.query(models.Brand).filter(models.Brand.name ==... | 34.521739 | 86 | 0.573992 | 389 | 3,176 | 4.501285 | 0.18509 | 0.071959 | 0.05197 | 0.075957 | 0.551685 | 0.463735 | 0.429469 | 0.337521 | 0.248429 | 0.248429 | 0 | 0.010228 | 0.322733 | 3,176 | 91 | 87 | 34.901099 | 0.803812 | 0 | 0 | 0.271429 | 0 | 0 | 0.040302 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.057143 | 0.057143 | 0.342857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c29a89217076d97f8ff62faec004446052c3802d | 14,431 | py | Python | consai2_game/scripts/example/actions/defense.py | ibis-ssl/consai2-ibis | 2b7d67007703fa49fc7290e92e12481ba48a9a93 | [
"MIT"
] | 4 | 2019-12-16T12:17:32.000Z | 2020-02-15T04:45:47.000Z | consai2_game/scripts/example/actions/defense.py | ibis-ssl/consai2-ibis | 2b7d67007703fa49fc7290e92e12481ba48a9a93 | [
"MIT"
] | null | null | null | consai2_game/scripts/example/actions/defense.py | ibis-ssl/consai2-ibis | 2b7d67007703fa49fc7290e92e12481ba48a9a93 | [
"MIT"
] | null | null | null | # MIT License
#
# Copyright (c) 2019 SSL-Roots
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, pu... | 34.857488 | 119 | 0.654147 | 1,759 | 14,431 | 5.026151 | 0.192723 | 0.058817 | 0.036534 | 0.012668 | 0.426309 | 0.372356 | 0.312861 | 0.264789 | 0.245334 | 0.177356 | 0 | 0.011367 | 0.26845 | 14,431 | 413 | 120 | 34.941889 | 0.825992 | 0.224101 | 0 | 0.281818 | 0 | 0 | 0.02424 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027273 | false | 0 | 0.045455 | 0.004545 | 0.113636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c29b8867909e2528de5c43aad2904d281f32bd76 | 454 | py | Python | python/py-collections/most-commons.py | PingHuskar/hackerrank | 1bfdbc63de5d0f94cd9e6ae250476b4a267662f2 | [
"Unlicense"
] | 41 | 2018-05-11T07:54:34.000Z | 2022-03-29T19:02:32.000Z | python/py-collections/most-commons.py | PingHuskar/hackerrank | 1bfdbc63de5d0f94cd9e6ae250476b4a267662f2 | [
"Unlicense"
] | 2 | 2021-09-13T10:03:26.000Z | 2021-10-04T10:21:05.000Z | python/py-collections/most-commons.py | PingHuskar/hackerrank | 1bfdbc63de5d0f94cd9e6ae250476b4a267662f2 | [
"Unlicense"
] | 21 | 2019-01-23T19:06:59.000Z | 2021-12-23T16:03:47.000Z | # Python > Collections > Company Logo
# Print the number of character occurrences in descending order.
#
# https://www.hackerrank.com/challenges/most-commons/problem
#
from collections import Counter
from itertools import groupby
name = input()
nb = 0
for c, g in groupby(Counter(name).most_common(), key=lambda x: x[... | 23.894737 | 69 | 0.65859 | 70 | 454 | 4.257143 | 0.628571 | 0.04698 | 0.053691 | 0.067114 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016949 | 0.220264 | 454 | 18 | 70 | 25.222222 | 0.824859 | 0.345815 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2a18f5087df24218cafcfe623033e7eac9d54d7 | 16,181 | py | Python | Kafka/automated/dedup_test.py | allensanborn/ChaosTestingCode | 36682e9ec70659f8e6a684e53fff6968bb5d15a2 | [
"MIT"
] | 73 | 2018-10-17T19:48:44.000Z | 2022-03-24T10:28:32.000Z | Kafka/automated/dedup_test.py | allensanborn/ChaosTestingCode | 36682e9ec70659f8e6a684e53fff6968bb5d15a2 | [
"MIT"
] | 1 | 2019-03-04T07:15:29.000Z | 2019-03-04T07:31:49.000Z | Kafka/automated/dedup_test.py | allensanborn/ChaosTestingCode | 36682e9ec70659f8e6a684e53fff6968bb5d15a2 | [
"MIT"
] | 35 | 2018-10-20T23:37:57.000Z | 2022-03-30T13:48:57.000Z | #!/usr/bin/env python
from confluent_kafka import Producer, Consumer, KafkaError
import sys
import time
import subprocess
from datetime import datetime
import threading
from collections import defaultdict
import re
import uuid
def log(text, to_file=False):
global output_file
print(text)
if to_file:
... | 37.630233 | 305 | 0.596131 | 1,980 | 16,181 | 4.653535 | 0.167172 | 0.030389 | 0.017365 | 0.011721 | 0.474929 | 0.394834 | 0.348817 | 0.33232 | 0.297482 | 0.280117 | 0 | 0.013132 | 0.265867 | 16,181 | 430 | 306 | 37.630233 | 0.762522 | 0.219022 | 0 | 0.254545 | 0 | 0.025455 | 0.270966 | 0.108339 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047273 | false | 0 | 0.032727 | 0 | 0.090909 | 0.021818 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2a47a378106287329bd3e25e1d300fbd9312bc2 | 643 | py | Python | apps/store/permissions.py | JimenezJC/cozy-exchange | 131576e8159df8bab2ff680283ed55e66abaaa1d | [
"MIT"
] | null | null | null | apps/store/permissions.py | JimenezJC/cozy-exchange | 131576e8159df8bab2ff680283ed55e66abaaa1d | [
"MIT"
] | null | null | null | apps/store/permissions.py | JimenezJC/cozy-exchange | 131576e8159df8bab2ff680283ed55e66abaaa1d | [
"MIT"
] | null | null | null | from rest_framework.permissions import BasePermission, SAFE_METHODS
class IsOwnerOrReadOnly(BasePermission):
message = 'You must be the owner of this object'
def has_object_permission(self, request, view, obj):
if request.method in SAFE_METHODS:
return True
return obj.seller == re... | 33.842105 | 74 | 0.709176 | 83 | 643 | 5.39759 | 0.457831 | 0.073661 | 0.107143 | 0.125 | 0.464286 | 0.464286 | 0.464286 | 0.464286 | 0.464286 | 0.464286 | 0 | 0 | 0.219285 | 643 | 18 | 75 | 35.722222 | 0.89243 | 0 | 0 | 0.461538 | 0 | 0 | 0.14619 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.076923 | 0 | 0.846154 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2a9d8d15587245ae91d5e2b5d778ffa6fc78c2f | 13,246 | py | Python | sg_covid_impact/complexity.py | nestauk/sg_covid_impact | 0d52e643280cc6b06611759d4464dec82949ae05 | [
"MIT"
] | 2 | 2020-10-19T16:30:59.000Z | 2021-03-17T13:11:50.000Z | sg_covid_impact/complexity.py | nestauk/sg_covid_impact | 0d52e643280cc6b06611759d4464dec82949ae05 | [
"MIT"
] | 67 | 2020-10-07T09:34:38.000Z | 2021-04-06T08:46:49.000Z | sg_covid_impact/complexity.py | nestauk/sg_covid_impact | 0d52e643280cc6b06611759d4464dec82949ae05 | [
"MIT"
] | null | null | null | import logging
import numpy as np
import pandas as pd
import scipy.stats as ss
from scipy.linalg import eig
from numba import jit
import sg_covid_impact
# from mi_scotland.utils.pandas import preview
logger = logging.getLogger(__name__)
np.seterr(all="raise") # Raise errors on floating point errors
def process_c... | 29.968326 | 88 | 0.616337 | 1,855 | 13,246 | 4.29434 | 0.173046 | 0.048958 | 0.033141 | 0.025107 | 0.429199 | 0.382375 | 0.34459 | 0.340949 | 0.340949 | 0.334923 | 0 | 0.008394 | 0.262494 | 13,246 | 441 | 89 | 30.036281 | 0.807043 | 0.448437 | 0 | 0.215909 | 0 | 0 | 0.039071 | 0.008297 | 0 | 0 | 0 | 0.002268 | 0 | 1 | 0.090909 | false | 0.005682 | 0.039773 | 0 | 0.221591 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2aaa982479408d6fca2ceb47bf8d2f924d7e364 | 768 | py | Python | Exercicios/Ex019.py | RenanRibeiroDaSilva/Meu-Aprendizado-Python | 280bf2ad132ae0d26255e70b894fa7dbb69a5d01 | [
"MIT"
] | 2 | 2021-05-21T23:17:44.000Z | 2021-05-22T04:34:37.000Z | Exercicios/Ex019.py | RenanRibeiroDaSilva/Meu-Aprendizado-Python | 280bf2ad132ae0d26255e70b894fa7dbb69a5d01 | [
"MIT"
] | null | null | null | Exercicios/Ex019.py | RenanRibeiroDaSilva/Meu-Aprendizado-Python | 280bf2ad132ae0d26255e70b894fa7dbb69a5d01 | [
"MIT"
] | null | null | null | '''Ex 019 - Um professor quer sortear um dos seus quatro alunos para apagar o quadro.
Faça um programa que ajude ele, lendo o nome dos alunos e escrevendo na tela o nome do escolhido.'''
print('-' * 15, '>Ex 19<', '-' * 15)
from random import choice
# Usando Random para sortiar o escolhido.
# Recebendo dados.
aluno... | 33.391304 | 100 | 0.716146 | 121 | 768 | 4.545455 | 0.479339 | 0.054545 | 0.063636 | 0.109091 | 0.189091 | 0.189091 | 0.189091 | 0 | 0 | 0 | 0 | 0.02673 | 0.171875 | 768 | 23 | 101 | 33.391304 | 0.83805 | 0.496094 | 0 | 0 | 0 | 0 | 0.314815 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0.222222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2afa0144857d385ec53c489e4695b2ff1d1fdcf | 1,327 | py | Python | alipay/aop/api/domain/AlipayOpenAuthUserauthTokenCreateModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/AlipayOpenAuthUserauthTokenCreateModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/AlipayOpenAuthUserauthTokenCreateModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipayOpenAuthUserauthTokenCreateModel(object):
def __init__(self):
self._scopes = None
self._user_id = None
@property
def scopes(self):
return self._scopes
... | 23.696429 | 65 | 0.57046 | 159 | 1,327 | 4.528302 | 0.251572 | 0.125 | 0.097222 | 0.036111 | 0.188889 | 0.108333 | 0 | 0 | 0 | 0 | 0 | 0.001119 | 0.3263 | 1,327 | 55 | 66 | 24.127273 | 0.804251 | 0.03165 | 0 | 0.097561 | 0 | 0 | 0.062451 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.170732 | false | 0 | 0.04878 | 0.04878 | 0.365854 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2b463e3b92836e2fb5a6f0fa7a7587ea2477928 | 750 | py | Python | advanced/image_processing/examples/plot_blur.py | rossbar/scipy-lecture-notes | 7f74e6925721c43bd81bf0bee34b4805ac4a3b57 | [
"CC-BY-4.0"
] | 2,538 | 2015-01-01T04:58:41.000Z | 2022-03-31T21:06:05.000Z | advanced/image_processing/examples/plot_blur.py | rossbar/scipy-lecture-notes | 7f74e6925721c43bd81bf0bee34b4805ac4a3b57 | [
"CC-BY-4.0"
] | 362 | 2015-01-18T14:16:23.000Z | 2021-11-18T16:24:34.000Z | advanced/image_processing/examples/plot_blur.py | rossbar/scipy-lecture-notes | 7f74e6925721c43bd81bf0bee34b4805ac4a3b57 | [
"CC-BY-4.0"
] | 1,127 | 2015-01-05T14:39:29.000Z | 2022-03-25T08:38:39.000Z | """
Blurring of images
===================
An example showing various processes that blur an image.
"""
import scipy.misc
from scipy import ndimage
import matplotlib.pyplot as plt
face = scipy.misc.face(gray=True)
blurred_face = ndimage.gaussian_filter(face, sigma=3)
very_blurred = ndimage.gaussian_filter(face, sigm... | 23.4375 | 63 | 0.716 | 122 | 750 | 4.319672 | 0.483607 | 0.056926 | 0.051233 | 0.074004 | 0.288425 | 0.174573 | 0.174573 | 0.174573 | 0.125237 | 0 | 0 | 0.043741 | 0.116 | 750 | 31 | 64 | 24.193548 | 0.751131 | 0.128 | 0 | 0.15 | 0 | 0 | 0.013932 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.15 | 0 | 0.15 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2b8cf5ed62085b93846cc634a5c0abe566a9d50 | 4,376 | py | Python | smartsnippets_inherit/cms_plugins.py | pbs/django-cms-smartsnippets | 61727dbdf44678ebd7df3fbeca8e7e190e364cc8 | [
"BSD-3-Clause"
] | 5 | 2015-08-06T14:47:00.000Z | 2021-02-17T19:18:27.000Z | smartsnippets_inherit/cms_plugins.py | pbs/django-cms-smartsnippets | 61727dbdf44678ebd7df3fbeca8e7e190e364cc8 | [
"BSD-3-Clause"
] | 11 | 2015-03-10T23:16:40.000Z | 2018-07-01T22:44:55.000Z | smartsnippets_inherit/cms_plugins.py | pbs/django-cms-smartsnippets | 61727dbdf44678ebd7df3fbeca8e7e190e364cc8 | [
"BSD-3-Clause"
] | 5 | 2015-06-04T17:35:34.000Z | 2018-02-08T15:43:59.000Z | from cms.plugin_base import CMSPluginBase
from cms.plugin_pool import plugin_pool
from cms.plugins.utils import downcast_plugins
from cms.models.placeholdermodel import Placeholder
from cms.models.pluginmodel import CMSPlugin
from smartsnippets_inherit.models import InheritPageContent
from smartsnippets_inherit.forms i... | 37.084746 | 87 | 0.662934 | 469 | 4,376 | 6.008529 | 0.30064 | 0.023421 | 0.02555 | 0.017743 | 0.017743 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000622 | 0.265539 | 4,376 | 117 | 88 | 37.401709 | 0.876167 | 0.058044 | 0 | 0.095745 | 0 | 0 | 0.04836 | 0.02017 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074468 | false | 0.010638 | 0.12766 | 0.010638 | 0.393617 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2bbc6212ba14cce222e1171cae69fdb2905ea98 | 727 | py | Python | uploadHelpers.py | BNUZ-China/iGem-Wiki | 18216737bbd1d5316e5302ff7202a9fa139ad033 | [
"MIT"
] | 1 | 2021-08-28T15:06:10.000Z | 2021-08-28T15:06:10.000Z | uploadHelpers.py | BNUZ-China/iGem-Wiki | 18216737bbd1d5316e5302ff7202a9fa139ad033 | [
"MIT"
] | null | null | null | uploadHelpers.py | BNUZ-China/iGem-Wiki | 18216737bbd1d5316e5302ff7202a9fa139ad033 | [
"MIT"
] | null | null | null | import os
from subprocess import run
import pyperclip
import webbrowser
from urllib import parse
location = 'production'
def runOnSingleFolder(folder):
file_list = os.listdir(os.path.join(location, folder))
for file in file_list:
file_noextend = file[:-(len(folder) + 1)]
url = f'https://2021.... | 29.08 | 129 | 0.672627 | 92 | 727 | 5.271739 | 0.608696 | 0.041237 | 0.041237 | 0.074227 | 0.098969 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010292 | 0.198074 | 727 | 24 | 130 | 30.291667 | 0.821612 | 0 | 0 | 0 | 0 | 0.05 | 0.218707 | 0.037139 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.25 | 0 | 0.3 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2bd92ea5b65d1f42b8e2aa98a412fc4debb102e | 1,180 | py | Python | Snake.py | ZippyCodeYT/Zippy_Codes | 91101085194ba2f30c74a82639b4730d52bb76dc | [
"CC-BY-4.0"
] | 64 | 2021-07-11T17:56:42.000Z | 2022-03-28T14:17:53.000Z | Snake.py | ZippyCodeYT/Zippy_Codes | 91101085194ba2f30c74a82639b4730d52bb76dc | [
"CC-BY-4.0"
] | 9 | 2021-07-10T23:26:39.000Z | 2022-03-04T17:39:57.000Z | Snake.py | ZippyCodeYT/Ursina_Codes | 91101085194ba2f30c74a82639b4730d52bb76dc | [
"CC-BY-4.0"
] | 57 | 2021-07-14T17:09:46.000Z | 2022-03-31T08:55:51.000Z |
from ursina import *
app = Ursina()
snake = Entity(model='cube', texture = 'assets\snake', scale=0.4, z=-1, collider='box')
ground = Entity(model='cube', texture='grass',rotation=(90,0,0),scale=(5,1,5), z=1)
apple = Entity(model='cube', texture='assets\\apple', scale=0.4, position=(1,-1,-1), collider='mesh')
body = [... | 16.857143 | 101 | 0.572881 | 206 | 1,180 | 3.271845 | 0.320388 | 0.081602 | 0.111276 | 0.097923 | 0.249258 | 0.166172 | 0.062315 | 0 | 0 | 0 | 0 | 0.056399 | 0.218644 | 1,180 | 69 | 102 | 17.101449 | 0.67462 | 0 | 0 | 0.108108 | 0 | 0 | 0.073721 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054054 | false | 0 | 0.054054 | 0 | 0.108108 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2c31ca71ec1d801042e3c41eac4e04e937da0de | 11,186 | py | Python | instance_selection/_DROP3.py | dpr1005/Semisupervised-learning-and-instance-selection-methods | 646d9e729c85322e859928e71a3241f2aec6d93d | [
"MIT"
] | 3 | 2021-12-10T09:04:18.000Z | 2022-01-22T15:03:19.000Z | instance_selection/_DROP3.py | dpr1005/Semisupervised-learning-and-instance-selection-methods | 646d9e729c85322e859928e71a3241f2aec6d93d | [
"MIT"
] | 107 | 2021-12-02T07:43:11.000Z | 2022-03-31T11:02:46.000Z | instance_selection/_DROP3.py | dpr1005/Semisupervised-learning-and-instance-selection-methods | 646d9e729c85322e859928e71a3241f2aec6d93d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# @Filename: DROP3.py
# @Author: Daniel Puente Ramírez
# @Time: 31/12/21 16:00
# @Version: 5.0
import copy
from sys import maxsize
import numpy as np
import pandas as pd
from sklearn.neighbors import NearestNeighbors
from .utils import transform
class... | 39.111888 | 85 | 0.614339 | 1,421 | 11,186 | 4.616467 | 0.187192 | 0.045274 | 0.029268 | 0.029726 | 0.347713 | 0.273323 | 0.228506 | 0.207774 | 0.161738 | 0.15122 | 0 | 0.010308 | 0.314858 | 11,186 | 285 | 86 | 39.249123 | 0.845642 | 0.361345 | 0 | 0.170068 | 0 | 0 | 0.001544 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.040816 | 0 | 0.122449 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2c78be72ea72b242adb4ca29ed829fd6b4d5b20 | 1,445 | py | Python | set4/challenge27.py | solfer/cryptopals_python | 6b22981a663b3dd2ef5fb5c30b1a6dc13eb0af1a | [
"MIT"
] | null | null | null | set4/challenge27.py | solfer/cryptopals_python | 6b22981a663b3dd2ef5fb5c30b1a6dc13eb0af1a | [
"MIT"
] | null | null | null | set4/challenge27.py | solfer/cryptopals_python | 6b22981a663b3dd2ef5fb5c30b1a6dc13eb0af1a | [
"MIT"
] | null | null | null | #! /usr/bin/python3
from Crypto.Cipher import AES
from random import randint
# https://www.cryptopals.com/sets/4/challenges/27
# Recover the key from CBC with IV=Key
import sys
sys.path.append('..')
from cryptopals import ctr,xor,random_aes_key,cbc_decrypt,cbc_encrypt
def random_aes_key(blocksize=16):
return... | 21.567164 | 69 | 0.632526 | 213 | 1,445 | 4.192488 | 0.389671 | 0.026876 | 0.040314 | 0.047032 | 0.076148 | 0.076148 | 0.076148 | 0.076148 | 0.076148 | 0.076148 | 0 | 0.029331 | 0.244983 | 1,445 | 66 | 70 | 21.893939 | 0.789184 | 0.115571 | 0 | 0.1875 | 0 | 0 | 0.029851 | 0 | 0 | 0 | 0.003142 | 0 | 0 | 1 | 0.125 | false | 0 | 0.083333 | 0.041667 | 0.354167 | 0.041667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2c80dfda0a5984d9ce2a209c4604c7a22beaa47 | 577 | wsgi | Python | testproject/testproject.wsgi | c4mb0t/django-setman | 6551e3f6367bf8ee7c8f91e893c9e8439428f28a | [
"BSD-3-Clause"
] | 1 | 2015-05-30T15:05:14.000Z | 2015-05-30T15:05:14.000Z | testproject/testproject.wsgi | c4mb0t/django-setman | 6551e3f6367bf8ee7c8f91e893c9e8439428f28a | [
"BSD-3-Clause"
] | null | null | null | testproject/testproject.wsgi | c4mb0t/django-setman | 6551e3f6367bf8ee7c8f91e893c9e8439428f28a | [
"BSD-3-Clause"
] | null | null | null | import os
import sys
DIRNAME = os.path.abspath(os.path.dirname(__file__))
rel = lambda *x: os.path.abspath(os.path.join(DIRNAME, *x))
PROJECT_DIR = rel('..')
activate_this = rel('env', 'bin', 'activate_this.py')
# Activate virtualenv
execfile(activate_this, {'__file__': activate_this})
os.environ['DJANGO_SETTINGS_... | 26.227273 | 72 | 0.753899 | 83 | 577 | 5.012048 | 0.53012 | 0.057692 | 0.0625 | 0.072115 | 0.091346 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.105719 | 577 | 21 | 73 | 27.47619 | 0.806202 | 0.155979 | 0 | 0 | 0 | 0 | 0.196281 | 0.045455 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2caaf55603ef2c7129fc78578663a36d8c83697 | 8,057 | py | Python | ntp/modules/generate.py | Michiel29/ntp-release | 567bf1ca823eeef5eeb2d63bbe16023ea63af766 | [
"Apache-2.0"
] | 3 | 2019-07-03T11:25:12.000Z | 2019-11-28T20:24:03.000Z | ntp/modules/generate.py | Michiel29/ntp-release | 567bf1ca823eeef5eeb2d63bbe16023ea63af766 | [
"Apache-2.0"
] | null | null | null | ntp/modules/generate.py | Michiel29/ntp-release | 567bf1ca823eeef5eeb2d63bbe16023ea63af766 | [
"Apache-2.0"
] | null | null | null | """Functions for generating random data with injected relationships"""
from itertools import product
import os
import json
import re
import random
import numpy as np
from numpy import random as rd
from scipy.special import comb
from ntp.util.util_kb import load_from_list
def gen_relationships(n_pred, n_rel, body_... | 37.129032 | 163 | 0.666749 | 1,099 | 8,057 | 4.707916 | 0.183803 | 0.040588 | 0.008118 | 0.014882 | 0.177039 | 0.146115 | 0.120603 | 0.096637 | 0.074604 | 0.058369 | 0 | 0.006255 | 0.245997 | 8,057 | 216 | 164 | 37.300926 | 0.845432 | 0.251582 | 0 | 0.153846 | 0 | 0.007692 | 0.016672 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.092308 | false | 0 | 0.069231 | 0 | 0.261538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2cabc8b7c10f234c2f764e400a0eb0ee368ade4 | 1,116 | py | Python | accounts/tests/test_account_views.py | borzecki/django-paymate | 960e1dcce2682e57374663d87e47c5cff0c7aae4 | [
"MIT"
] | null | null | null | accounts/tests/test_account_views.py | borzecki/django-paymate | 960e1dcce2682e57374663d87e47c5cff0c7aae4 | [
"MIT"
] | null | null | null | accounts/tests/test_account_views.py | borzecki/django-paymate | 960e1dcce2682e57374663d87e47c5cff0c7aae4 | [
"MIT"
] | null | null | null | from django.urls import reverse
from rest_framework import status
from rest_framework.test import APITestCase
from accounts.models import Account
from accounts.serializers import AccountSerializer
from .utils import create_accounts
class AccountViewsTests(APITestCase):
def test_create_account(self):
"""... | 32.823529 | 97 | 0.689964 | 131 | 1,116 | 5.770992 | 0.419847 | 0.099206 | 0.09127 | 0.058201 | 0.140212 | 0.140212 | 0.140212 | 0.140212 | 0.140212 | 0 | 0 | 0.010181 | 0.207885 | 1,116 | 33 | 98 | 33.818182 | 0.845023 | 0.089606 | 0 | 0.1 | 0 | 0 | 0.047472 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.1 | false | 0 | 0.3 | 0 | 0.45 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2cb04716bb5f1c7ce9e0998301f2ac347c3c6dd | 202 | py | Python | CTF/Pico2017/level_two/forensics/little_school_bus/solve.py | RegaledSeer/netsecnoobie | d3366937ec8c67a9742f61e47698239ae693af49 | [
"MIT"
] | null | null | null | CTF/Pico2017/level_two/forensics/little_school_bus/solve.py | RegaledSeer/netsecnoobie | d3366937ec8c67a9742f61e47698239ae693af49 | [
"MIT"
] | null | null | null | CTF/Pico2017/level_two/forensics/little_school_bus/solve.py | RegaledSeer/netsecnoobie | d3366937ec8c67a9742f61e47698239ae693af49 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
FILE_PATH = "./littleschoolbus.bmp"
with open(FILE_PATH,"rb") as f:
bytes = bytearray(f.read())
result = ""
for byte in bytes[54:]:
result += str(byte & 1)
print(result)
| 14.428571 | 35 | 0.633663 | 30 | 202 | 4.2 | 0.766667 | 0.126984 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024242 | 0.183168 | 202 | 13 | 36 | 15.538462 | 0.739394 | 0.084158 | 0 | 0 | 0 | 0 | 0.125 | 0.11413 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2ce62208e5d0f3a5f97c461255fe7d85b8afbee | 13,528 | py | Python | custom_utils/crop4patches.py | ziming-liu/ObjectDet | 6e25fa784114b9773b052d9d5465aa6fed93468a | [
"Apache-2.0"
] | null | null | null | custom_utils/crop4patches.py | ziming-liu/ObjectDet | 6e25fa784114b9773b052d9d5465aa6fed93468a | [
"Apache-2.0"
] | null | null | null | custom_utils/crop4patches.py | ziming-liu/ObjectDet | 6e25fa784114b9773b052d9d5465aa6fed93468a | [
"Apache-2.0"
] | null | null | null | import numpy
import os
import json
import cv2
import csv
import os.path as osp
import mmcv
import numpy as np
def isgood(w,h):
if w<2 or h<2:
return False
if w /h >10.0 or h/w >10.0:
return False
return True
def bbox_iou(box1, box2):
b1_x1, b1_y1, b1_x2, b1_y2 = box1
... | 53.05098 | 190 | 0.53563 | 1,647 | 13,528 | 4.139648 | 0.112325 | 0.066882 | 0.059842 | 0.054855 | 0.675125 | 0.64095 | 0.600176 | 0.567762 | 0.559255 | 0.533441 | 0 | 0.023387 | 0.329908 | 13,528 | 254 | 191 | 53.259843 | 0.728737 | 0.070373 | 0 | 0.514851 | 0 | 0 | 0.046514 | 0.0268 | 0 | 0 | 0 | 0 | 0.019802 | 1 | 0.019802 | false | 0 | 0.044554 | 0 | 0.084158 | 0.019802 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2d008457b1988d06b4f36156a0cb0305d850324 | 1,121 | py | Python | rabbitgetapi/__main__.py | Sidon/get-rabbitmq-messages | 8feff8c9b9edee863d875966f5e5f3a5eb6ab06a | [
"MIT"
] | 11 | 2022-01-10T13:49:39.000Z | 2022-01-11T05:57:45.000Z | rabbitgetapi/__main__.py | Sidon/get-rabbitmq-messages | 8feff8c9b9edee863d875966f5e5f3a5eb6ab06a | [
"MIT"
] | null | null | null | rabbitgetapi/__main__.py | Sidon/get-rabbitmq-messages | 8feff8c9b9edee863d875966f5e5f3a5eb6ab06a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyleft 2021 Sidon Duarte
#
import http
import sys
from typing import Any
import colorama
import requests
from rabbitgetapi import cli
from rabbitgetapi import exceptions
from rabbitgetapi import build_parser
def main() -> Any:
try:
result = cli.dispatch(sys.argv[1:])
excep... | 26.069767 | 75 | 0.674398 | 145 | 1,121 | 4.917241 | 0.455172 | 0.056101 | 0.092567 | 0.061711 | 0.053296 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007973 | 0.216771 | 1,121 | 42 | 76 | 26.690476 | 0.8041 | 0.042819 | 0 | 0 | 0 | 0 | 0.169159 | 0.096262 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.266667 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2d2914bf2009ddae6cb71f0693560922df3f83f | 12,182 | py | Python | SST/datasets/wrapperpolicy.py | shaoshitong/torchdistill | 709ca2d59442090d73a554d363e4c5e37538c707 | [
"MIT"
] | 1 | 2022-03-25T05:05:55.000Z | 2022-03-25T05:05:55.000Z | SST/datasets/wrapperpolicy.py | shaoshitong/torchdistill | 709ca2d59442090d73a554d363e4c5e37538c707 | [
"MIT"
] | null | null | null | SST/datasets/wrapperpolicy.py | shaoshitong/torchdistill | 709ca2d59442090d73a554d363e4c5e37538c707 | [
"MIT"
] | null | null | null | import os
import numpy as np
import torch
from torch.utils.data import Dataset
import math
import torch
import torch.nn.functional as F
import random
import torchvision.datasets
from torchvision.transforms import *
from torch.utils.data import DataLoader
from torchvision import datasets, transforms
from PIL import Imag... | 40.471761 | 136 | 0.613692 | 1,551 | 12,182 | 4.693746 | 0.112186 | 0.057692 | 0.063462 | 0.051923 | 0.674038 | 0.601923 | 0.562363 | 0.540522 | 0.514011 | 0.493681 | 0 | 0.044679 | 0.244869 | 12,182 | 300 | 137 | 40.606667 | 0.746712 | 0.015843 | 0 | 0.456929 | 0 | 0 | 0.047424 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.093633 | false | 0 | 0.05618 | 0.052434 | 0.243446 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2d36fb4456d02f1a3cbf08824eb8cded948400d | 3,029 | py | Python | {{cookiecutter.project_slug}}/backend/app/app/tests/crud/test_item.py | Gjacquenot/full-stack-fastapi-couchbase | 5df16af2ffcb22d141c5e689a220611005747939 | [
"MIT"
] | 353 | 2019-01-03T09:53:17.000Z | 2022-03-27T12:24:45.000Z | {{cookiecutter.project_slug}}/backend/app/app/tests/crud/test_item.py | Gjacquenot/full-stack-fastapi-couchbase | 5df16af2ffcb22d141c5e689a220611005747939 | [
"MIT"
] | 21 | 2019-01-06T21:50:40.000Z | 2021-08-19T11:33:15.000Z | {{cookiecutter.project_slug}}/backend/app/app/tests/crud/test_item.py | Gjacquenot/full-stack-fastapi-couchbase | 5df16af2ffcb22d141c5e689a220611005747939 | [
"MIT"
] | 72 | 2019-03-07T21:59:55.000Z | 2022-03-18T04:59:22.000Z | from app import crud
from app.db.database import get_default_bucket
from app.models.config import ITEM_DOC_TYPE
from app.models.item import ItemCreate, ItemUpdate
from app.tests.utils.user import create_random_user
from app.tests.utils.utils import random_lower_string
def test_create_item():
title = random_lower_... | 35.22093 | 88 | 0.719379 | 407 | 3,029 | 5.113022 | 0.115479 | 0.06247 | 0.081691 | 0.061509 | 0.606439 | 0.581932 | 0.540605 | 0.508409 | 0.476694 | 0.476694 | 0 | 0.008509 | 0.18521 | 3,029 | 85 | 89 | 35.635294 | 0.834684 | 0 | 0 | 0.441558 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.246753 | 1 | 0.051948 | false | 0 | 0.077922 | 0 | 0.12987 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2d52797a4915efe6cf6a4bf7bb065954ba40d31 | 12,271 | py | Python | 03_ML_training.py | YunxiaoRen/ML-iAMR | 6bab74b4dccb5da8bc6155a7ee7ffa9d4811b894 | [
"MIT"
] | 4 | 2021-10-10T15:31:23.000Z | 2022-02-10T00:17:55.000Z | 03_ML_training.py | YunxiaoRen/ML-iAMR | 6bab74b4dccb5da8bc6155a7ee7ffa9d4811b894 | [
"MIT"
] | null | null | null | 03_ML_training.py | YunxiaoRen/ML-iAMR | 6bab74b4dccb5da8bc6155a7ee7ffa9d4811b894 | [
"MIT"
] | 2 | 2021-12-07T22:04:54.000Z | 2022-02-10T07:14:42.000Z |
##**************************************************************************************##
## Step1. Load Packages and Input Data ##
##**************************************************************************************##
import pandas as pd
import nu... | 39.079618 | 193 | 0.677043 | 1,856 | 12,271 | 4.13847 | 0.140086 | 0.021482 | 0.017185 | 0.009113 | 0.408931 | 0.327562 | 0.217289 | 0.17719 | 0.12928 | 0.118995 | 0 | 0.03163 | 0.142042 | 12,271 | 313 | 194 | 39.204473 | 0.697948 | 0.142776 | 0 | 0.105727 | 0 | 0 | 0.074832 | 0.053757 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013216 | false | 0 | 0.123348 | 0 | 0.14978 | 0.017621 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2d5cfe13e3252b73bc2d506fd5f87805ad7437d | 6,660 | py | Python | gdalhelpers/functions/create_points_at_angles_distance_in_direction.py | JanCaha/gdalhelpers | 925ecb2552b697b5970617484f1fc259f844ba04 | [
"MIT"
] | null | null | null | gdalhelpers/functions/create_points_at_angles_distance_in_direction.py | JanCaha/gdalhelpers | 925ecb2552b697b5970617484f1fc259f844ba04 | [
"MIT"
] | null | null | null | gdalhelpers/functions/create_points_at_angles_distance_in_direction.py | JanCaha/gdalhelpers | 925ecb2552b697b5970617484f1fc259f844ba04 | [
"MIT"
] | null | null | null | from osgeo import ogr
from typing import List, Union
import math
import os
import warnings
import numpy as np
from gdalhelpers.checks import values_checks, datasource_checks, layer_checks
from gdalhelpers.helpers import layer_helpers, datasource_helpers, geometry_helpers
def create_points_at_angles_distance_in_direct... | 43.815789 | 131 | 0.640841 | 793 | 6,660 | 5.064313 | 0.218159 | 0.062998 | 0.042082 | 0.058267 | 0.332918 | 0.231076 | 0.166335 | 0.12002 | 0.086155 | 0.038845 | 0 | 0.006578 | 0.292342 | 6,660 | 151 | 132 | 44.10596 | 0.845534 | 0.261862 | 0 | 0.166667 | 0 | 0 | 0.054275 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012821 | false | 0 | 0.102564 | 0 | 0.128205 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2d8aaeb7cd07de199497544ee9bb719305bd800 | 1,380 | py | Python | polybot/views/ingest.py | evanpcosta/IEEEPolybot | 75fd70680f4f9fec8b1b77b4e116e4869eb8c079 | [
"Apache-2.0"
] | null | null | null | polybot/views/ingest.py | evanpcosta/IEEEPolybot | 75fd70680f4f9fec8b1b77b4e116e4869eb8c079 | [
"Apache-2.0"
] | null | null | null | polybot/views/ingest.py | evanpcosta/IEEEPolybot | 75fd70680f4f9fec8b1b77b4e116e4869eb8c079 | [
"Apache-2.0"
] | 1 | 2021-03-07T20:46:43.000Z | 2021-03-07T20:46:43.000Z | """Routes related to ingesting data from the robot"""
import os
import logging
from pathlib import Path
from flask import Blueprint, request, current_app
from pydantic import ValidationError
from werkzeug.utils import secure_filename
from polybot.models import UVVisExperiment
logger = logging.getLogger(__name__)
b... | 30 | 70 | 0.674638 | 173 | 1,380 | 5.248555 | 0.491329 | 0.044053 | 0.026432 | 0.044053 | 0.061674 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.216667 | 1,380 | 45 | 71 | 30.666667 | 0.839963 | 0.118841 | 0 | 0.125 | 0 | 0 | 0.19103 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.21875 | 0 | 0.34375 | 0.0625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2db78f1fd6b3b030ac80b311ec8e5f6c6ad3962 | 1,572 | py | Python | test/test_mpdstats.py | dfc/beets | 96c5121f65b9477e9b424f166dc57369b6457e42 | [
"MIT"
] | 1 | 2017-11-15T23:24:35.000Z | 2017-11-15T23:24:35.000Z | test/test_mpdstats.py | dfc/beets | 96c5121f65b9477e9b424f166dc57369b6457e42 | [
"MIT"
] | null | null | null | test/test_mpdstats.py | dfc/beets | 96c5121f65b9477e9b424f166dc57369b6457e42 | [
"MIT"
] | null | null | null | # This file is part of beets.
# Copyright 2015
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, pu... | 30.230769 | 71 | 0.720738 | 205 | 1,572 | 5.390244 | 0.526829 | 0.049774 | 0.023529 | 0.052489 | 0.063348 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003962 | 0.197201 | 1,572 | 51 | 72 | 30.823529 | 0.871632 | 0.382952 | 0 | 0 | 0 | 0 | 0.027197 | 0 | 0 | 0 | 0 | 0 | 0.08 | 1 | 0.16 | false | 0 | 0.24 | 0.04 | 0.48 | 0.04 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2dc055259ce8bd609c68240256323675bd4a1ec | 1,236 | py | Python | python_code/vnev/Lib/site-packages/jdcloud_sdk/services/cloudsign/models/StampInfo.py | Ureimu/weather-robot | 7634195af388538a566ccea9f8a8534c5fb0f4b6 | [
"MIT"
] | 14 | 2018-04-19T09:53:56.000Z | 2022-01-27T06:05:48.000Z | python_code/vnev/Lib/site-packages/jdcloud_sdk/services/cloudsign/models/StampInfo.py | Ureimu/weather-robot | 7634195af388538a566ccea9f8a8534c5fb0f4b6 | [
"MIT"
] | 15 | 2018-09-11T05:39:54.000Z | 2021-07-02T12:38:02.000Z | python_code/vnev/Lib/site-packages/jdcloud_sdk/services/cloudsign/models/StampInfo.py | Ureimu/weather-robot | 7634195af388538a566ccea9f8a8534c5fb0f4b6 | [
"MIT"
] | 33 | 2018-04-20T05:29:16.000Z | 2022-02-17T09:10:05.000Z | # coding=utf8
# Copyright 2018 JDCLOUD.COM
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | 34.333333 | 107 | 0.706311 | 156 | 1,236 | 5.570513 | 0.583333 | 0.069045 | 0.029919 | 0.036824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011329 | 0.214401 | 1,236 | 35 | 108 | 35.314286 | 0.883625 | 0.662621 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2de7d7431503150ac6343d65fe89abecb277cb0 | 3,462 | py | Python | authors/apps/likedislike/tests/test_likedislike.py | andela/ah-code-titans | 4f1fc77c2ecdf8ca15c24327d39fe661eac85785 | [
"BSD-3-Clause"
] | null | null | null | authors/apps/likedislike/tests/test_likedislike.py | andela/ah-code-titans | 4f1fc77c2ecdf8ca15c24327d39fe661eac85785 | [
"BSD-3-Clause"
] | 20 | 2018-11-26T16:22:46.000Z | 2018-12-21T10:08:25.000Z | authors/apps/likedislike/tests/test_likedislike.py | andela/ah-code-titans | 4f1fc77c2ecdf8ca15c24327d39fe661eac85785 | [
"BSD-3-Clause"
] | 3 | 2019-01-24T15:39:42.000Z | 2019-09-25T17:57:08.000Z | from rest_framework import status
from django.urls import reverse
from authors.apps.articles.models import Article
from authors.base_test_config import TestConfiguration
slug = None
class TestLikeDislike(TestConfiguration):
"""
Class to test for liking and disliking of articles.
"""
def create_artic... | 28.61157 | 76 | 0.593299 | 391 | 3,462 | 5.127877 | 0.2711 | 0.053865 | 0.056858 | 0.080798 | 0.501746 | 0.501746 | 0.46783 | 0.367082 | 0.340648 | 0.340648 | 0 | 0.006383 | 0.321202 | 3,462 | 120 | 77 | 28.85 | 0.846809 | 0.223859 | 0 | 0.435484 | 0 | 0 | 0.123573 | 0.027155 | 0 | 0 | 0 | 0 | 0.096774 | 1 | 0.064516 | false | 0 | 0.064516 | 0 | 0.16129 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2dfea80584df5547d3541ae560b3208410a1788 | 3,875 | py | Python | source/yahoo_finance.py | mengwangk/myinvestor-toolkit | 3dca9e1accfccf1583dcdbec80d1a0fe9dae2e81 | [
"MIT"
] | 7 | 2019-10-13T18:58:33.000Z | 2021-08-07T12:46:22.000Z | source/yahoo_finance.py | mengwangk/myinvestor-toolkit | 3dca9e1accfccf1583dcdbec80d1a0fe9dae2e81 | [
"MIT"
] | 7 | 2019-12-16T21:25:34.000Z | 2022-02-10T00:11:22.000Z | source/yahoo_finance.py | mengwangk/myinvestor-toolkit | 3dca9e1accfccf1583dcdbec80d1a0fe9dae2e81 | [
"MIT"
] | 4 | 2020-02-01T11:23:51.000Z | 2021-12-13T12:27:18.000Z | """
=======================
Yahoo Finance source
=======================
"""
import re
import requests
import time
from json import loads
from bs4 import BeautifulSoup
from yahoofinancials import YahooFinancials
# Yahoo Finance data source
class YahooFinanceSource(YahooFinancials):
def __init__(self, ticker):
... | 40.789474 | 112 | 0.627097 | 482 | 3,875 | 4.755187 | 0.248963 | 0.045812 | 0.030541 | 0.037086 | 0.198953 | 0.132635 | 0.116492 | 0.08726 | 0.08726 | 0.08726 | 0 | 0.001733 | 0.255484 | 3,875 | 94 | 113 | 41.223404 | 0.792721 | 0.116645 | 0 | 0.179104 | 0 | 0 | 0.087709 | 0.008214 | 0 | 0 | 0 | 0 | 0 | 1 | 0.104478 | false | 0 | 0.089552 | 0 | 0.298507 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2e195ab4b278f23e01854b0146790e6742d3324 | 26,510 | py | Python | photoz.py | martinkilbinger/shapepipe_photoz | da4547774f6d599fb0106273eb8ab9819b7fd9eb | [
"MIT"
] | null | null | null | photoz.py | martinkilbinger/shapepipe_photoz | da4547774f6d599fb0106273eb8ab9819b7fd9eb | [
"MIT"
] | null | null | null | photoz.py | martinkilbinger/shapepipe_photoz | da4547774f6d599fb0106273eb8ab9819b7fd9eb | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 12 10:02:58 2020
@author: Xavier Jimenez
"""
#------------------------------------------------------------------#
# # # # # Imports # # # # #
#------------------------------------------------------------------#
import numpy as np
import os
import ... | 54.102041 | 289 | 0.515805 | 2,766 | 26,510 | 4.714389 | 0.110991 | 0.047546 | 0.044172 | 0.030675 | 0.67385 | 0.640567 | 0.615951 | 0.602377 | 0.572316 | 0.562653 | 0 | 0.010234 | 0.295964 | 26,510 | 489 | 290 | 54.212679 | 0.687634 | 0.228631 | 0 | 0.412186 | 0 | 0.003584 | 0.117851 | 0.050423 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.064516 | 0 | 0.064516 | 0.132616 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2e55b26934d85e03276f6736007bed25c578301 | 1,348 | py | Python | network/fs_net_repo/PoseTs.py | lolrudy/GPV_pose | f326a623b3e45e6edfc1963b068e8e7aaea2bfff | [
"MIT"
] | 10 | 2022-03-16T02:14:56.000Z | 2022-03-31T19:01:34.000Z | network/fs_net_repo/PoseTs.py | lolrudy/GPV_pose | f326a623b3e45e6edfc1963b068e8e7aaea2bfff | [
"MIT"
] | 1 | 2022-03-18T06:43:16.000Z | 2022-03-18T06:56:35.000Z | network/fs_net_repo/PoseTs.py | lolrudy/GPV_pose | f326a623b3e45e6edfc1963b068e8e7aaea2bfff | [
"MIT"
] | 2 | 2022-03-19T13:06:28.000Z | 2022-03-19T16:08:18.000Z | import torch.nn as nn
import torch
import torch.nn.functional as F
import absl.flags as flags
from absl import app
FLAGS = flags.FLAGS
# Point_center encode the segmented point cloud
# one more conv layer compared to original paper
class Pose_Ts(nn.Module):
def __init__(self):
super(Pose_Ts, self).__ini... | 25.433962 | 55 | 0.58457 | 217 | 1,348 | 3.516129 | 0.37788 | 0.02097 | 0.068152 | 0.039318 | 0.028834 | 0 | 0 | 0 | 0 | 0 | 0 | 0.079673 | 0.273739 | 1,348 | 52 | 56 | 25.923077 | 0.699694 | 0.068991 | 0 | 0 | 0 | 0 | 0.00639 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.128205 | 0 | 0.25641 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2e64fced5d7c9dff05319da1da37700db19293c | 2,653 | py | Python | gQuant/plugins/gquant_plugin/greenflow_gquant_plugin/analysis/exportXGBoostNode.py | t-triobox/gQuant | 6ee3ba104ce4c6f17a5755e7782298902d125563 | [
"Apache-2.0"
] | null | null | null | gQuant/plugins/gquant_plugin/greenflow_gquant_plugin/analysis/exportXGBoostNode.py | t-triobox/gQuant | 6ee3ba104ce4c6f17a5755e7782298902d125563 | [
"Apache-2.0"
] | null | null | null | gQuant/plugins/gquant_plugin/greenflow_gquant_plugin/analysis/exportXGBoostNode.py | t-triobox/gQuant | 6ee3ba104ce4c6f17a5755e7782298902d125563 | [
"Apache-2.0"
] | null | null | null | from greenflow.dataframe_flow import Node
from greenflow.dataframe_flow.portsSpecSchema import (ConfSchema,
PortsSpecSchema)
from greenflow.dataframe_flow.metaSpec import MetaDataSchema
from greenflow.dataframe_flow.util import get_file_path
from greenflow.dataframe... | 31.211765 | 74 | 0.547682 | 243 | 2,653 | 5.72428 | 0.329218 | 0.051761 | 0.07908 | 0.093458 | 0.071891 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.366001 | 2,653 | 84 | 75 | 31.583333 | 0.826992 | 0.043724 | 0 | 0.030303 | 0 | 0 | 0.088321 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.090909 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2e989f1d471ff586e3048f193d3b0ec35055cc5 | 623 | py | Python | Python/main.py | mrn4344/Mandelbrot | 8958b6453b3feafa1329fa18dc2822ab8985cb41 | [
"MIT"
] | null | null | null | Python/main.py | mrn4344/Mandelbrot | 8958b6453b3feafa1329fa18dc2822ab8985cb41 | [
"MIT"
] | null | null | null | Python/main.py | mrn4344/Mandelbrot | 8958b6453b3feafa1329fa18dc2822ab8985cb41 | [
"MIT"
] | null | null | null | import mandelbrot as mand
from PIL import Image
width = 1280
height = 720
scale = 2
def pixelToCoord( pos ):
(x, y) = pos
return ( 4*(x/height - 0.5)/scale , -4*(y/height - 0.5)/scale)
def main():
me = mand.mandelbrot(2)
img = Image.new('RGB', (width,height), color = 'white')
for y in range(0,... | 22.25 | 67 | 0.5313 | 95 | 623 | 3.4 | 0.494737 | 0.018576 | 0.049536 | 0.080495 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.06772 | 0.288925 | 623 | 27 | 68 | 23.074074 | 0.6614 | 0 | 0 | 0 | 0 | 0 | 0.049759 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.095238 | 0 | 0.238095 | 0.047619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2ea645b92efeff22da8081f24ec4c1af5469ade | 1,699 | py | Python | blockformer/position/relative_position_bias.py | colinski/blockformer | 56be6abc08dc25ab97c526384e9c69f6c814c3ed | [
"MIT"
] | null | null | null | blockformer/position/relative_position_bias.py | colinski/blockformer | 56be6abc08dc25ab97c526384e9c69f6c814c3ed | [
"MIT"
] | null | null | null | blockformer/position/relative_position_bias.py | colinski/blockformer | 56be6abc08dc25ab97c526384e9c69f6c814c3ed | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn.utils.weight_init import trunc_normal_
#adapted from open-mmlab implementation of swin transformer
class RelativePositionBias(nn.Module):
def __init__(self,
window_size=(7, 7),
num_heads=8
):
su... | 38.613636 | 78 | 0.638611 | 235 | 1,699 | 4.370213 | 0.344681 | 0.031159 | 0.054528 | 0.070107 | 0.195716 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03083 | 0.255444 | 1,699 | 43 | 79 | 39.511628 | 0.781028 | 0.093584 | 0 | 0.055556 | 0 | 0 | 0.014984 | 0.014984 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.111111 | 0 | 0.305556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2ecefbb6392e5044c1bce089bc79ba2086836e6 | 1,714 | py | Python | ka_model.py | ycjing/AmalgamateGNN.PyTorch | f99a60b374d23002d53385f23da2d540d964c7c2 | [
"MIT"
] | 15 | 2021-06-25T05:02:37.000Z | 2022-03-20T08:34:15.000Z | ka_model.py | ycjing/AmalgamateGNN.PyTorch | f99a60b374d23002d53385f23da2d540d964c7c2 | [
"MIT"
] | 2 | 2022-01-21T05:14:17.000Z | 2022-03-23T09:24:45.000Z | ka_model.py | ycjing/AmalgamateGNN.PyTorch | f99a60b374d23002d53385f23da2d540d964c7c2 | [
"MIT"
] | 1 | 2021-08-18T06:28:58.000Z | 2021-08-18T06:28:58.000Z | import torch
from utils import get_teacher1, get_teacher2, get_student
def collect_model(args, data_info_s, data_info_t1, data_info_t2):
"""This is the function that constructs the dictionary containing the models and the corresponding optimizers
Args:
args (parse_args): parser arguments
data... | 41.804878 | 113 | 0.713536 | 240 | 1,714 | 4.85 | 0.270833 | 0.120275 | 0.098797 | 0.089347 | 0.27921 | 0.27921 | 0.232818 | 0.232818 | 0.092784 | 0 | 0 | 0.018315 | 0.203617 | 1,714 | 41 | 114 | 41.804878 | 0.834432 | 0.405484 | 0 | 0 | 0 | 0 | 0.074566 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.105263 | 0 | 0.210526 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2f080fa5d08bb1269862977727df7460da362c1 | 445 | py | Python | probs/prob9.py | mattrid93/ProjectEuler | 3e1cf1bad9581e526b37d17e20b5fe8af837c1c6 | [
"MIT"
] | null | null | null | probs/prob9.py | mattrid93/ProjectEuler | 3e1cf1bad9581e526b37d17e20b5fe8af837c1c6 | [
"MIT"
] | null | null | null | probs/prob9.py | mattrid93/ProjectEuler | 3e1cf1bad9581e526b37d17e20b5fe8af837c1c6 | [
"MIT"
] | null | null | null | """Problem 9: Special Pythagorean triplet.
Brute force."""
import unittest
def find_triple(s):
"""Returns abc where a^2+b^2=c^2 with a+b+c=s."""
a, b, c = 998, 1, 1
while b < 999:
if a**2 + b**2 == c**2:
return a*b*c
if a == 1:
c += 1
b = 1
a... | 20.227273 | 53 | 0.440449 | 70 | 445 | 2.657143 | 0.457143 | 0.043011 | 0.048387 | 0.043011 | 0.064516 | 0.064516 | 0 | 0 | 0 | 0 | 0 | 0.10566 | 0.404494 | 445 | 21 | 54 | 21.190476 | 0.596226 | 0.217978 | 0 | 0 | 0 | 0 | 0.023739 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.066667 | 0 | 0.2 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2f1d876ec603c325d5fd840f0aed40ac0a43ab5 | 998 | py | Python | cleanup.py | DuncteBot/tf2-transformer-chatbot | 0e364da0537717de025314d40c5b0423891f9dc4 | [
"MIT"
] | null | null | null | cleanup.py | DuncteBot/tf2-transformer-chatbot | 0e364da0537717de025314d40c5b0423891f9dc4 | [
"MIT"
] | null | null | null | cleanup.py | DuncteBot/tf2-transformer-chatbot | 0e364da0537717de025314d40c5b0423891f9dc4 | [
"MIT"
] | null | null | null | import sqlite3
from helpers import get_db_path, get_timeframes
from traceback import print_tb
timeframes = get_timeframes()
print(timeframes)
for timeframe in timeframes:
with sqlite3.connect(get_db_path(timeframe)) as connection:
try:
c = connection.cursor()
print("Cleanin up!"... | 28.514286 | 103 | 0.576152 | 116 | 998 | 4.87069 | 0.560345 | 0.056637 | 0.031858 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005997 | 0.331663 | 998 | 34 | 104 | 29.352941 | 0.841079 | 0.072144 | 0 | 0.083333 | 0 | 0 | 0.221258 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0.291667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2f341062556abc813aaebd4a88c681a262c4eb7 | 8,059 | py | Python | visualization/plots.py | yc14600/beta3_IRT | 7c3d87b2f04fc9ad7bf59db5d60166df5ca47dc6 | [
"MIT"
] | 7 | 2019-06-26T15:23:14.000Z | 2021-12-28T14:16:24.000Z | visualization/plots.py | yc14600/beta3_IRT | 7c3d87b2f04fc9ad7bf59db5d60166df5ca47dc6 | [
"MIT"
] | null | null | null | visualization/plots.py | yc14600/beta3_IRT | 7c3d87b2f04fc9ad7bf59db5d60166df5ca47dc6 | [
"MIT"
] | 4 | 2019-08-29T19:07:35.000Z | 2021-12-28T19:22:11.000Z | from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import gridspec
import seaborn as sns
import pandas as pd
import glob
import re
from itertools import combinations
import matplotlib
matplotlib.rcParams['text.usetex'] = True
def plot_probabilities(X, probabilities,... | 36.631818 | 173 | 0.618191 | 1,207 | 8,059 | 3.992544 | 0.212096 | 0.041502 | 0.013073 | 0.014941 | 0.470845 | 0.365844 | 0.350073 | 0.313136 | 0.240506 | 0.240506 | 0 | 0.037975 | 0.215784 | 8,059 | 220 | 174 | 36.631818 | 0.724525 | 0.025437 | 0 | 0.217143 | 0 | 0 | 0.11662 | 0.015804 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.057143 | 0 | 0.125714 | 0.005714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2f74385f195f0884b6d65f78882d41fbb6267cb | 19,448 | py | Python | models/transformer/transformer.py | lsgai/selene | ad23904cad2a5a292732ff350e7689c0b9e511f4 | [
"BSD-3-Clause-Clear"
] | null | null | null | models/transformer/transformer.py | lsgai/selene | ad23904cad2a5a292732ff350e7689c0b9e511f4 | [
"BSD-3-Clause-Clear"
] | null | null | null | models/transformer/transformer.py | lsgai/selene | ad23904cad2a5a292732ff350e7689c0b9e511f4 | [
"BSD-3-Clause-Clear"
] | null | null | null | from __future__ import absolute_import, division, print_function, unicode_literals
import json
import logging
import math
import os
import sys
from io import open
import numpy as np
import torch
from torch import nn
from torch.nn import CrossEntropyLoss, MSELoss
from pytorch_transformers import WEIGHTS_NAME, CONFIG_N... | 47.783784 | 121 | 0.722285 | 2,744 | 19,448 | 4.925656 | 0.190962 | 0.020642 | 0.014205 | 0.011986 | 0.349216 | 0.295132 | 0.27116 | 0.230098 | 0.19636 | 0.182302 | 0 | 0.009456 | 0.189737 | 19,448 | 406 | 122 | 47.901478 | 0.848268 | 0.535736 | 0 | 0.207547 | 0 | 0 | 0.018452 | 0.002768 | 0 | 0 | 0 | 0.002463 | 0 | 1 | 0.106918 | false | 0 | 0.09434 | 0.012579 | 0.301887 | 0.031447 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2f98c67de6fff06f026a352c43e196aef39bfda | 1,166 | py | Python | setup.py | jackschultz/dbactor | 57ca01bb257d92b32d6003b56cec69e930b6ea73 | [
"MIT"
] | 2 | 2021-11-18T09:35:42.000Z | 2021-11-18T14:46:30.000Z | setup.py | jackschultz/dbactor | 57ca01bb257d92b32d6003b56cec69e930b6ea73 | [
"MIT"
] | null | null | null | setup.py | jackschultz/dbactor | 57ca01bb257d92b32d6003b56cec69e930b6ea73 | [
"MIT"
] | null | null | null | from setuptools import setup
__version__ = '0.0.3'
REQUIRES = ['psycopg2-binary']
EXTRAS_REQUIRE = {
'sqlalchemy': ['sqlalchemy'],
'jinjasql': ['jinjasql'],
'pandas': ['jinjasql', 'pandas'],
}
extras_lists = [vals for k, vals in EXTRAS_REQUIRE.items()]
# flattening the values in EXTRAS_REQUIRE from popula... | 36.4375 | 86 | 0.628645 | 123 | 1,166 | 5.715447 | 0.536585 | 0.16643 | 0.068279 | 0.071124 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013825 | 0.255575 | 1,166 | 31 | 87 | 37.612903 | 0.796083 | 0.071184 | 0 | 0 | 0 | 0 | 0.218316 | 0.021277 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.04 | 0 | 0.04 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2fb06c89af3c0d869e1710b20eb4d1e629dd002 | 725 | py | Python | CV0101EN-09.02-frames_to_video.py | reddyprasade/Computer-Vision-with-Python | 8eebec61f0fdacb05e122460d6845a32ae506c8f | [
"Apache-2.0"
] | null | null | null | CV0101EN-09.02-frames_to_video.py | reddyprasade/Computer-Vision-with-Python | 8eebec61f0fdacb05e122460d6845a32ae506c8f | [
"Apache-2.0"
] | null | null | null | CV0101EN-09.02-frames_to_video.py | reddyprasade/Computer-Vision-with-Python | 8eebec61f0fdacb05e122460d6845a32ae506c8f | [
"Apache-2.0"
] | null | null | null | import cv2
import numpy as np
import os
def frames_to_video(inputpath,outputpath,fps):
image_array = []
files = [f for f in os.listdir(inputpath) if isfile(join(inputpath, f))]
files.sort(key = lambda x: int(x[5:-4]))
for i in range(len(files)):
img = cv2.imread(inputpath + files[i])
size = ... | 29 | 75 | 0.66069 | 113 | 725 | 4.159292 | 0.477876 | 0.085106 | 0.055319 | 0.093617 | 0.059574 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020443 | 0.190345 | 725 | 24 | 76 | 30.208333 | 0.780239 | 0 | 0 | 0 | 0 | 0 | 0.055172 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.142857 | 0 | 0.190476 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c2febe7880974ca6e91553584ed0bba9eac9b426 | 5,303 | py | Python | pbt/estimator_worker.py | Octavian-ai/mac-graph | 3ef978e8a6f79f2dcc46783d34f01934aabf7f19 | [
"Unlicense"
] | 116 | 2018-07-11T13:19:56.000Z | 2021-07-26T17:22:44.000Z | pbt/estimator_worker.py | Octavian-ai/mac-graph | 3ef978e8a6f79f2dcc46783d34f01934aabf7f19 | [
"Unlicense"
] | 1 | 2019-02-11T02:25:02.000Z | 2019-02-11T17:05:19.000Z | pbt/estimator_worker.py | Octavian-ai/mac-graph | 3ef978e8a6f79f2dcc46783d34f01934aabf7f19 | [
"Unlicense"
] | 21 | 2018-10-11T23:03:22.000Z | 2021-07-14T22:42:08.000Z |
import tensorflow as tf
import numpy as np
import traceback
import os.path
from .worker import Worker
from .param import *
from .params import *
import logging
logger = logging.getLogger(__name__)
class HeartbeatHook(tf.train.SessionRunHook):
def __init__(self, heatbeat, should_continue):
self.heatbeat = heat... | 24.896714 | 103 | 0.666227 | 715 | 5,303 | 4.709091 | 0.239161 | 0.03564 | 0.04158 | 0.020196 | 0.158598 | 0.125928 | 0.07128 | 0.061776 | 0 | 0 | 0 | 0.004294 | 0.165567 | 5,303 | 212 | 104 | 25.014151 | 0.75661 | 0.115595 | 0 | 0.134328 | 0 | 0 | 0.066938 | 0 | 0 | 0 | 0 | 0.004717 | 0.007463 | 1 | 0.164179 | false | 0 | 0.059701 | 0.014925 | 0.283582 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c01243ea6bcaf63004fe1fe3e588e8eca1e226b | 4,064 | py | Python | tracer/main.py | LzVv123456/Deep-Reinforced-Tree-Traversal | 8e117590c8cd51c9fc9c033232658876160fa638 | [
"MIT"
] | 20 | 2021-07-08T08:33:27.000Z | 2022-01-14T03:27:35.000Z | tracer/main.py | abcxubu/Deep-Reinforced-Tree-Traversal | 8e117590c8cd51c9fc9c033232658876160fa638 | [
"MIT"
] | 1 | 2021-10-01T12:39:11.000Z | 2021-10-01T13:19:43.000Z | tracer/main.py | abcxubu/Deep-Reinforced-Tree-Traversal | 8e117590c8cd51c9fc9c033232658876160fa638 | [
"MIT"
] | 3 | 2021-07-08T07:34:48.000Z | 2022-01-10T11:41:59.000Z | import os
import glob
import yaml
import torch
import argparse
from addict import Dict
from dataset import *
from init import *
from utilities import *
from train import *
def parse_args():
parser = argparse.ArgumentParser(description='infer')
parser.add_argument('--config', type=str, default='./tracer/train_... | 37.62963 | 137 | 0.615404 | 513 | 4,064 | 4.625731 | 0.272904 | 0.094817 | 0.082174 | 0.033713 | 0.230089 | 0.148757 | 0.094817 | 0.053097 | 0 | 0 | 0 | 0.009466 | 0.272146 | 4,064 | 108 | 138 | 37.62963 | 0.792765 | 0.04749 | 0 | 0.054054 | 0 | 0 | 0.09943 | 0.006732 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0 | 0.135135 | 0 | 0.175676 | 0.054054 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c0675ff607912b34920445802ae59f9d31371c8 | 4,222 | py | Python | test/functional/bsv-protoconf.py | bxlkm1/yulecoin | 3605faf2ff2e3c7bd381414613fc5c0234ad2936 | [
"OML"
] | 8 | 2019-08-02T02:49:42.000Z | 2022-01-17T15:51:48.000Z | test/functional/bsv-protoconf.py | bxlkm1/yulecoin | 3605faf2ff2e3c7bd381414613fc5c0234ad2936 | [
"OML"
] | null | null | null | test/functional/bsv-protoconf.py | bxlkm1/yulecoin | 3605faf2ff2e3c7bd381414613fc5c0234ad2936 | [
"OML"
] | 4 | 2019-08-02T02:50:44.000Z | 2021-05-28T03:21:38.000Z | #!/usr/bin/env python3
# Copyright (c) 2019 The Bitcoin SV developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
from test_framework.mininode import *
from test_framework.test_framework import BitcoinTestFramework
from test_f... | 43.979167 | 143 | 0.709853 | 571 | 4,222 | 4.982487 | 0.283713 | 0.044991 | 0.02812 | 0.056239 | 0.400703 | 0.296661 | 0.247452 | 0.235501 | 0.175747 | 0.175747 | 0 | 0.026277 | 0.197774 | 4,222 | 95 | 144 | 44.442105 | 0.813699 | 0.243013 | 0 | 0.140351 | 0 | 0 | 0.05454 | 0 | 0 | 0 | 0 | 0 | 0.192982 | 1 | 0.087719 | false | 0 | 0.087719 | 0 | 0.192982 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c09b1ff084d1e9df9670c57209d4a2a65e97d3c | 9,838 | py | Python | actor_critic/trainer.py | zamlz/dlcampjeju2018-I2A-cube | 85ae7a2084ca490ea685ff3d30e82720fb58c0ea | [
"MIT"
] | 14 | 2018-07-19T03:56:45.000Z | 2019-10-01T12:09:01.000Z | actor_critic/trainer.py | zamlz/dlcampjeju2018-I2A-cube | 85ae7a2084ca490ea685ff3d30e82720fb58c0ea | [
"MIT"
] | null | null | null | actor_critic/trainer.py | zamlz/dlcampjeju2018-I2A-cube | 85ae7a2084ca490ea685ff3d30e82720fb58c0ea | [
"MIT"
] | null | null | null |
import gym
import numpy as np
import tensorflow as tf
import time
from actor_critic.policy import A2CBuilder
from actor_critic.util import discount_with_dones, cat_entropy, fix_tf_name
from common.model import NetworkBase
from common.multiprocessing_env import SubprocVecEnv
from tqdm import tqdm
class ActorCritic(... | 37.838462 | 102 | 0.593617 | 1,249 | 9,838 | 4.470777 | 0.224179 | 0.021669 | 0.015043 | 0.012536 | 0.186246 | 0.145595 | 0.11909 | 0.08793 | 0.087213 | 0.063037 | 0 | 0.016207 | 0.310124 | 9,838 | 259 | 103 | 37.984556 | 0.806542 | 0.103883 | 0 | 0.034286 | 0 | 0 | 0.026861 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028571 | false | 0 | 0.051429 | 0.011429 | 0.102857 | 0.022857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c0bbff19246f88fe29603b2519f950e3178d9cc | 23,504 | py | Python | src/model_ode.py | fkhiro/kws-ode | 5751f9b665511908b26e77f6ea5a97bf87823aab | [
"MIT"
] | 5 | 2020-08-12T07:24:12.000Z | 2022-02-23T14:04:16.000Z | src/model_ode.py | fkhiro/kws-ode | 5751f9b665511908b26e77f6ea5a97bf87823aab | [
"MIT"
] | null | null | null | src/model_ode.py | fkhiro/kws-ode | 5751f9b665511908b26e77f6ea5a97bf87823aab | [
"MIT"
] | 1 | 2020-09-03T07:28:19.000Z | 2020-09-03T07:28:19.000Z | from enum import Enum
import hashlib
import math
import os
import random
import re
from chainmap import ChainMap
from torch.autograd import Variable
import librosa
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.data as data
from .manage_audio import AudioPrepr... | 35.185629 | 200 | 0.592282 | 3,172 | 23,504 | 4.163619 | 0.130517 | 0.035436 | 0.008329 | 0.014311 | 0.347846 | 0.250776 | 0.20103 | 0.181949 | 0.151056 | 0.13084 | 0 | 0.019033 | 0.284675 | 23,504 | 667 | 201 | 35.238381 | 0.76649 | 0.042503 | 0 | 0.209213 | 0 | 0 | 0.060754 | 0.001878 | 0 | 0 | 0 | 0 | 0.001919 | 1 | 0.090211 | false | 0.001919 | 0.03263 | 0.003839 | 0.211132 | 0.028791 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c0d6af23938ca6fed73a619af2c2521273b4c43 | 7,642 | py | Python | tests/test_snapshot.py | arkadiam/virt-backup | b3e8703ae3ab0f792f5d68913ecf5e7270acea46 | [
"BSD-2-Clause-FreeBSD"
] | 54 | 2019-06-21T23:29:02.000Z | 2022-03-28T14:30:44.000Z | tests/test_snapshot.py | arkadiam/virt-backup | b3e8703ae3ab0f792f5d68913ecf5e7270acea46 | [
"BSD-2-Clause-FreeBSD"
] | 28 | 2019-08-18T01:01:25.000Z | 2021-07-14T17:39:42.000Z | tests/test_snapshot.py | arkadiam/virt-backup | b3e8703ae3ab0f792f5d68913ecf5e7270acea46 | [
"BSD-2-Clause-FreeBSD"
] | 12 | 2019-07-12T10:16:03.000Z | 2022-03-09T05:33:30.000Z | import json
import os
import arrow
import libvirt
import pytest
from virt_backup.backups import DomBackup
from virt_backup.domains import get_xml_block_of_disk
from virt_backup.backups.snapshot import DomExtSnapshot, DomExtSnapshotCallbackRegistrer
from virt_backup.exceptions import DiskNotFoundError, SnapshotNotStart... | 36.390476 | 88 | 0.634258 | 853 | 7,642 | 5.411489 | 0.193435 | 0.094021 | 0.113085 | 0.027296 | 0.39818 | 0.269281 | 0.207756 | 0.156412 | 0.119151 | 0.101386 | 0 | 0.006003 | 0.258833 | 7,642 | 209 | 89 | 36.564593 | 0.808969 | 0.038995 | 0 | 0.193548 | 0 | 0 | 0.112138 | 0.022483 | 0 | 0 | 0 | 0 | 0.090323 | 1 | 0.135484 | false | 0 | 0.064516 | 0 | 0.251613 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c0ff50a90211a83518224c4a9e7cb96da0fbca0 | 1,015 | py | Python | DongbinNa/17/pt.py | wonnerky/coteMaster | 360e491e6342c1ee42ff49750b838a2ead865613 | [
"Apache-2.0"
] | null | null | null | DongbinNa/17/pt.py | wonnerky/coteMaster | 360e491e6342c1ee42ff49750b838a2ead865613 | [
"Apache-2.0"
] | null | null | null | DongbinNa/17/pt.py | wonnerky/coteMaster | 360e491e6342c1ee42ff49750b838a2ead865613 | [
"Apache-2.0"
] | null | null | null | # NxN 시험관, 바이러스 매 초 상하좌우로 증식, 낮은 번호의 바이러스부터 우선순위
# 시간동안(for) 낮은 번호부터 증식 시작. 바이러스가 있거나 matrix 범위 이상이면 stop.
# 바이러스 종류별 좌표 추가
n, k = map(int, input().split())
matrix = []
for _ in range(n):
matrix.append(list(map(int, input().split())))
s, x, y = map(int, input().split())
# 상 하 좌 우
dx = [-1, 1, 0, 0] # 위아래
dy = [0... | 23.604651 | 57 | 0.519212 | 196 | 1,015 | 2.602041 | 0.336735 | 0.082353 | 0.023529 | 0.094118 | 0.039216 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025424 | 0.302463 | 1,015 | 43 | 58 | 23.604651 | 0.694915 | 0.180296 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0 | 0 | 0.033333 | 0.033333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c11ff715822a78e65219cb047fa20aeb18248ac | 7,843 | py | Python | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/pavelib/i18n.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 3 | 2021-12-15T04:58:18.000Z | 2022-02-06T12:15:37.000Z | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/pavelib/i18n.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | null | null | null | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/pavelib/i18n.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 1 | 2022-02-06T10:48:15.000Z | 2022-02-06T10:48:15.000Z | """
Internationalization tasks
"""
import re
import subprocess
import sys
from path import Path as path
from paver.easy import cmdopts, needs, sh, task
from .utils.cmd import django_cmd
from .utils.envs import Env
from .utils.timer import timed
try:
from pygments.console import colorize
except ImportError:
... | 23.694864 | 99 | 0.651409 | 968 | 7,843 | 5.174587 | 0.282025 | 0.037333 | 0.050908 | 0.035935 | 0.37772 | 0.3334 | 0.293671 | 0.256938 | 0.204432 | 0.136355 | 0 | 0.025578 | 0.227336 | 7,843 | 330 | 100 | 23.766667 | 0.80099 | 0.280632 | 0 | 0.428571 | 0 | 0 | 0.40207 | 0.126058 | 0.005495 | 0 | 0 | 0.00303 | 0 | 1 | 0.098901 | false | 0.005495 | 0.054945 | 0 | 0.159341 | 0.027473 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c1262e89c4802e8d7e590c6c84ac0e62c5a4169 | 2,020 | py | Python | sympy/parsing/autolev/test-examples/ruletest9.py | Michal-Gagala/sympy | 3cc756c2af73b5506102abaeefd1b654e286e2c8 | [
"MIT"
] | null | null | null | sympy/parsing/autolev/test-examples/ruletest9.py | Michal-Gagala/sympy | 3cc756c2af73b5506102abaeefd1b654e286e2c8 | [
"MIT"
] | null | null | null | sympy/parsing/autolev/test-examples/ruletest9.py | Michal-Gagala/sympy | 3cc756c2af73b5506102abaeefd1b654e286e2c8 | [
"MIT"
] | null | null | null | import sympy.physics.mechanics as _me
import sympy as _sm
import math as m
import numpy as _np
frame_n = _me.ReferenceFrame('n')
frame_a = _me.ReferenceFrame('a')
a = 0
d = _me.inertia(frame_a, 1, 1, 1)
point_po1 = _me.Point('po1')
point_po2 = _me.Point('po2')
particle_p1 = _me.Particle('p1', _me.Point('p1_... | 36.071429 | 113 | 0.688119 | 463 | 2,020 | 2.63067 | 0.164147 | 0.098522 | 0.034483 | 0.036946 | 0.300493 | 0.231527 | 0.137931 | 0.102627 | 0.08046 | 0.042693 | 0 | 0.063212 | 0.130693 | 2,020 | 55 | 114 | 36.727273 | 0.63041 | 0 | 0 | 0 | 0 | 0 | 0.047328 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.074074 | 0 | 0.074074 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c137c12cabff00b49311cbc274302f573ef641a | 3,830 | py | Python | tests/test_asm_stats.py | hall-lab/tenx-gcp | f204e60cc5efb543a524df9cdbd44d0a8c590673 | [
"MIT"
] | null | null | null | tests/test_asm_stats.py | hall-lab/tenx-gcp | f204e60cc5efb543a524df9cdbd44d0a8c590673 | [
"MIT"
] | null | null | null | tests/test_asm_stats.py | hall-lab/tenx-gcp | f204e60cc5efb543a524df9cdbd44d0a8c590673 | [
"MIT"
] | null | null | null | import filecmp, os, tempfile, unittest
from click.testing import CliRunner
from tenx.asm_stats import asm_stats_cmd, get_contig_lengths, get_scaffold_and_contig_lengths, get_stats, length_buckets
class AsmStatsTest(unittest.TestCase):
def setUp(self):
self.data_dn = os.path.join(os.path.dirname(__file__),... | 40.315789 | 120 | 0.629243 | 475 | 3,830 | 4.795789 | 0.212632 | 0.084284 | 0.082968 | 0.046093 | 0.546093 | 0.479368 | 0.355136 | 0.280509 | 0.269535 | 0.269535 | 0 | 0.045051 | 0.234987 | 3,830 | 94 | 121 | 40.744681 | 0.732423 | 0.006789 | 0 | 0.282051 | 0 | 0 | 0.079716 | 0.00684 | 0 | 0 | 0 | 0 | 0.141026 | 1 | 0.076923 | false | 0 | 0.038462 | 0 | 0.128205 | 0.012821 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c1416cedaf37318b018aae01bda9b0f41f3ed30 | 3,435 | py | Python | utils.py | zexihuang/raft-blockchain | a2f7365e10f5a5334c59bac6b551648bae04e2e8 | [
"Apache-2.0"
] | 1 | 2021-06-04T03:05:06.000Z | 2021-06-04T03:05:06.000Z | utils.py | zexihuang/raft-blockchain | a2f7365e10f5a5334c59bac6b551648bae04e2e8 | [
"Apache-2.0"
] | null | null | null | utils.py | zexihuang/raft-blockchain | a2f7365e10f5a5334c59bac6b551648bae04e2e8 | [
"Apache-2.0"
] | null | null | null | import socket
import pickle
import random
import string
import time
import hashlib
import os
BUFFER_SIZE = 65536
def send_message(msg, port):
# Setup socket for the user to be send
s_temp = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s_temp.connect((socket.gethostname(), port))
# encode and se... | 32.714286 | 115 | 0.616885 | 394 | 3,435 | 5.215736 | 0.317259 | 0.012165 | 0.032117 | 0.049635 | 0.115815 | 0.097324 | 0.062287 | 0.062287 | 0.062287 | 0 | 0 | 0.010822 | 0.273654 | 3,435 | 104 | 116 | 33.028846 | 0.812826 | 0.057642 | 0 | 0.157895 | 0 | 0 | 0.076471 | 0.018576 | 0 | 0 | 0 | 0 | 0 | 1 | 0.092105 | false | 0 | 0.092105 | 0 | 0.25 | 0.013158 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c14181d8879fcc2609ab9415e7fe2cdbb328098 | 3,850 | py | Python | api/data_refinery_api/test/test_dataset_stats.py | AlexsLemonade/refinebio | 52f44947f902adedaccf270d5f9dbd56ab47e40a | [
"BSD-3-Clause"
] | 106 | 2018-03-05T16:24:47.000Z | 2022-03-19T19:12:25.000Z | api/data_refinery_api/test/test_dataset_stats.py | AlexsLemonade/refinebio | 52f44947f902adedaccf270d5f9dbd56ab47e40a | [
"BSD-3-Clause"
] | 1,494 | 2018-02-27T17:02:21.000Z | 2022-03-24T15:10:30.000Z | api/data_refinery_api/test/test_dataset_stats.py | AlexsLemonade/refinebio | 52f44947f902adedaccf270d5f9dbd56ab47e40a | [
"BSD-3-Clause"
] | 15 | 2019-02-03T01:34:59.000Z | 2022-03-29T01:59:13.000Z | import json
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APITestCase
from data_refinery_api.test.test_api_general import API_VERSION
from data_refinery_common.models import (
Experiment,
ExperimentOrganismAssociation,
ExperimentSampleAssociation,
Or... | 32.627119 | 100 | 0.647013 | 387 | 3,850 | 6.22739 | 0.268734 | 0.079668 | 0.13444 | 0.024896 | 0.256846 | 0.236515 | 0.236515 | 0.236515 | 0.236515 | 0.097925 | 0 | 0.031097 | 0.256623 | 3,850 | 117 | 101 | 32.905983 | 0.810971 | 0.024416 | 0 | 0.168421 | 0 | 0 | 0.066684 | 0 | 0 | 0 | 0 | 0 | 0.031579 | 1 | 0.021053 | false | 0 | 0.063158 | 0 | 0.094737 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c15bfba4b8c0e66ef69eb440d0dc33cc1bed1d7 | 4,804 | py | Python | hetzner_fix_report/hetzner_fix_report.py | flxai/hetzner-fix-report | ab484a3463ed0efc6f14ebd7b45d1b2c1281fb0b | [
"MIT"
] | 2 | 2020-06-20T21:50:38.000Z | 2020-06-22T08:37:11.000Z | hetzner_fix_report/hetzner_fix_report.py | flxai/hetzner-fix-report | ab484a3463ed0efc6f14ebd7b45d1b2c1281fb0b | [
"MIT"
] | 4 | 2020-07-01T21:59:08.000Z | 2020-07-05T11:33:59.000Z | hetzner_fix_report/hetzner_fix_report.py | flxai/hetzner-fix-report | ab484a3463ed0efc6f14ebd7b45d1b2c1281fb0b | [
"MIT"
] | null | null | null | import pdftotext
import sys
import numpy as np
import pandas as pd
import regex as re
def eprint(*args, **kwargs):
print(*args, file=sys.stderr, **kwargs)
def get_server_type(server_type_str):
"""Check wether string is contained"""
server_type_list = server_type_str.split(' ')
if len(server_type_li... | 32.90411 | 118 | 0.59159 | 683 | 4,804 | 4.004392 | 0.256223 | 0.065814 | 0.061792 | 0.021938 | 0.259232 | 0.239488 | 0.239488 | 0.182084 | 0.182084 | 0.090676 | 0 | 0.006206 | 0.262073 | 4,804 | 145 | 119 | 33.131034 | 0.764457 | 0.165279 | 0 | 0.107527 | 0 | 0 | 0.150943 | 0.020881 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053763 | false | 0 | 0.053763 | 0 | 0.172043 | 0.032258 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c16620f0a89c9e70bfae221558f9859765dc5b0 | 3,705 | py | Python | src/random_forest.py | rrozema12/Data-Mining-Final-Project | 4848f3daed4b75879b626c5dc460e8dbd70ae861 | [
"MIT"
] | 1 | 2018-02-04T01:10:20.000Z | 2018-02-04T01:10:20.000Z | src/random_forest.py | rrozema12/Data-Mining-Final-Project | 4848f3daed4b75879b626c5dc460e8dbd70ae861 | [
"MIT"
] | null | null | null | src/random_forest.py | rrozema12/Data-Mining-Final-Project | 4848f3daed4b75879b626c5dc460e8dbd70ae861 | [
"MIT"
] | null | null | null | # random_forest.py
# does the random forest calcutlaions
import decision_tree
import partition
import heapq
import table_utils
import classifier_util
from homework_util import strat_folds
def run_a_table(table, indexes, class_index, N, M, F):
""" Takes a table, splits it into a training and test set. Creates a
... | 35.970874 | 90 | 0.691768 | 540 | 3,705 | 4.618519 | 0.3 | 0.044106 | 0.011227 | 0.021652 | 0.189254 | 0.189254 | 0.131516 | 0.131516 | 0.131516 | 0.131516 | 0 | 0.006349 | 0.234818 | 3,705 | 102 | 91 | 36.323529 | 0.873369 | 0.48583 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.093023 | false | 0 | 0.139535 | 0 | 0.325581 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c186e241fa2559c5801595eef7a0db1d8af608a | 18,320 | py | Python | run.py | RafaelCenzano/Corona-Virus-Email-Updater | 2d5bc071ab21fe8df358689862a019d400c73cd5 | [
"MIT"
] | 3 | 2020-03-10T13:52:37.000Z | 2020-03-15T17:19:39.000Z | run.py | RafaelCenzano/Corona-Virus-Email-Updater | 2d5bc071ab21fe8df358689862a019d400c73cd5 | [
"MIT"
] | null | null | null | run.py | RafaelCenzano/Corona-Virus-Email-Updater | 2d5bc071ab21fe8df358689862a019d400c73cd5 | [
"MIT"
] | 2 | 2020-03-10T13:52:29.000Z | 2022-01-13T19:58:28.000Z | import requests
import json
import os
from bs4 import BeautifulSoup as bs
from secret import *
from smtplib import SMTP
from datetime import datetime
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
def maths(num1, num2, num3=None):
num1 = int(''.join(num1.split(',')))
num2 ... | 41.922197 | 177 | 0.593177 | 1,686 | 18,320 | 6.428233 | 0.152432 | 0.046503 | 0.060897 | 0.094113 | 0.380605 | 0.332718 | 0.301163 | 0.26444 | 0.252445 | 0.236021 | 0 | 0.012393 | 0.251255 | 18,320 | 436 | 178 | 42.018349 | 0.777721 | 0 | 0 | 0.330667 | 0 | 0.029333 | 0.587445 | 0.134279 | 0 | 0 | 0 | 0 | 0 | 1 | 0.005333 | false | 0.002667 | 0.024 | 0 | 0.032 | 0.002667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c19d7164f4d767fbe5d4431bf900ccb1c4a00d6 | 6,494 | py | Python | Machine_Learning/Feature_Tutorials/04-tensorflow-ai-optimizer/files/application/app_mt.py | dankernel/Vitis-Tutorials | 558791a2350327ea275917db890797a895d0fac2 | [
"Apache-2.0"
] | null | null | null | Machine_Learning/Feature_Tutorials/04-tensorflow-ai-optimizer/files/application/app_mt.py | dankernel/Vitis-Tutorials | 558791a2350327ea275917db890797a895d0fac2 | [
"Apache-2.0"
] | null | null | null | Machine_Learning/Feature_Tutorials/04-tensorflow-ai-optimizer/files/application/app_mt.py | dankernel/Vitis-Tutorials | 558791a2350327ea275917db890797a895d0fac2 | [
"Apache-2.0"
] | null | null | null | '''
Copyright 2020 Xilinx 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 agreed to in writing, software
distr... | 29.788991 | 172 | 0.647213 | 874 | 6,494 | 4.729977 | 0.322654 | 0.007741 | 0.007257 | 0.013304 | 0.034833 | 0.011127 | 0 | 0 | 0 | 0 | 0 | 0.012363 | 0.227749 | 6,494 | 217 | 173 | 29.926267 | 0.811964 | 0.191407 | 0 | 0.118182 | 0 | 0 | 0.12979 | 0.025464 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.109091 | 0 | 0.190909 | 0.136364 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c1bc99ed022294f204e51cb23b911f2274cbb0b | 525 | py | Python | examples/cuda/bfs/py/vcache.py | bespoke-silicon-group/bsg_replicant | cadd8dcb3fb1382adf39479cdd9bc7463f269fa0 | [
"BSD-3-Clause"
] | 12 | 2020-03-27T13:15:54.000Z | 2022-03-25T14:22:26.000Z | examples/cuda/bfs/py/vcache.py | bespoke-silicon-group/bsg_f1 | 08b7be7162719b92b4796f18b0caad263f90ea2f | [
"BSD-3-Clause"
] | 255 | 2019-05-10T01:08:51.000Z | 2020-01-29T18:45:32.000Z | examples/cuda/bfs/py/vcache.py | bespoke-silicon-group/bsg_replicant | cadd8dcb3fb1382adf39479cdd9bc7463f269fa0 | [
"BSD-3-Clause"
] | 8 | 2020-02-21T18:28:34.000Z | 2021-07-24T00:22:29.000Z | from vcache_utils import VCacheStats
from bfs_common import BFSParameters
import sys
import pandas as pd
class BFSVCacheStats(VCacheStats):
def _subclass_init_add_group_by_fields(self):
self._parameters = BFSParameters(self.filename)
self._parameters.updateDataFrame(self._data)
self._group_... | 29.166667 | 60 | 0.76381 | 67 | 525 | 5.731343 | 0.552239 | 0.109375 | 0.067708 | 0.088542 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002247 | 0.152381 | 525 | 17 | 61 | 30.882353 | 0.860674 | 0 | 0 | 0 | 0 | 0 | 0.034286 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.285714 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c1bdfa67d70b8200b8f300c42147c7b6f88c84a | 14,511 | py | Python | fgread/read.py | FASTGenomics/jupyter-fgread-py | 400eb54e2376a8a3afaa674397617fa64c33a280 | [
"MIT"
] | 1 | 2019-12-09T17:41:09.000Z | 2019-12-09T17:41:09.000Z | fgread/read.py | FASTGenomics/jupyter-fgread-py | 400eb54e2376a8a3afaa674397617fa64c33a280 | [
"MIT"
] | 2 | 2019-09-26T13:49:56.000Z | 2020-08-06T15:10:17.000Z | fgread/read.py | FASTGenomics/jupyter-fgread-py | 400eb54e2376a8a3afaa674397617fa64c33a280 | [
"MIT"
] | null | null | null | import json
import logging
import re
from pathlib import Path
from typing import Optional, Union
import pandas as pd
from . import DOCSURL, DS_URL_PREFIX, readers
# configure logging
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
ch = logging.StreamHandler()
ch.setLevel(logging.INFO)
logger.addHa... | 32.175166 | 145 | 0.591551 | 1,769 | 14,511 | 4.691916 | 0.18372 | 0.026145 | 0.01012 | 0.011566 | 0.248434 | 0.197108 | 0.171446 | 0.152169 | 0.144096 | 0.126747 | 0 | 0.005056 | 0.304803 | 14,511 | 450 | 146 | 32.246667 | 0.817704 | 0.226242 | 0 | 0.168385 | 0 | 0.010309 | 0.257448 | 0.052041 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024055 | false | 0.003436 | 0.027491 | 0.003436 | 0.085911 | 0.003436 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c1dc30f32a47cfe9ea5fa235e76eff1529c75dd | 4,368 | py | Python | iotapy/storage/providers/types/transaction_metadata.py | aliciawyy/iota-python | b8d421acf94ccd9e7374f799fbe496f6d23e3cf3 | [
"MIT"
] | 34 | 2017-10-24T15:04:02.000Z | 2021-09-05T17:46:43.000Z | iotapy/storage/providers/types/transaction_metadata.py | aliciawyy/iota-python | b8d421acf94ccd9e7374f799fbe496f6d23e3cf3 | [
"MIT"
] | 8 | 2017-12-18T21:53:08.000Z | 2021-06-01T21:24:31.000Z | iotapy/storage/providers/types/transaction_metadata.py | aliciawyy/iota-python | b8d421acf94ccd9e7374f799fbe496f6d23e3cf3 | [
"MIT"
] | 11 | 2017-12-18T22:02:29.000Z | 2020-11-10T17:58:22.000Z | # -*- coding: utf-8 -*-
import struct
import iota
from iotapy.storage import converter as conv
TRANSACTION_METADATA_TRITS_LENGTH = 1604
HASH_BYTES_LENGTH = 49
HASH_TRITS_LENGTH = 243
def get_key(bytes_: bytes):
# Convert key bytes to iota.TransactionHash
if not isinstance(bytes_, bytes):
raise Type... | 35.225806 | 123 | 0.66163 | 617 | 4,368 | 4.385737 | 0.116694 | 0.042129 | 0.043976 | 0.065041 | 0.654472 | 0.597931 | 0.551737 | 0.477088 | 0.477088 | 0.449372 | 0 | 0.013924 | 0.194368 | 4,368 | 123 | 124 | 35.512195 | 0.755044 | 0.017628 | 0 | 0.217822 | 0 | 0 | 0.069046 | 0.025426 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029703 | false | 0 | 0.029703 | 0 | 0.09901 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c1f784f7fc92dd4f1d6302efb41edae068a6f5e | 5,980 | py | Python | Student Database/last.py | manas1410/Miscellaneous-Development | 8ffd2b586cb05b12ed0855d97c3015c8bb2a6c01 | [
"MIT"
] | null | null | null | Student Database/last.py | manas1410/Miscellaneous-Development | 8ffd2b586cb05b12ed0855d97c3015c8bb2a6c01 | [
"MIT"
] | null | null | null | Student Database/last.py | manas1410/Miscellaneous-Development | 8ffd2b586cb05b12ed0855d97c3015c8bb2a6c01 | [
"MIT"
] | null | null | null | from tkinter import*
import website
import tkinter.font as font
from PIL import ImageTk,Image
import os
import sqlite3
import webbrowser
def main():
cgnc=Tk()
cgnc.title('Show')
cgnc.iconbitmap("logo/spectrumlogo.ico")
f=font.Font(family='Bookman Old Style',size=10,weight='bold')
f1=fo... | 30.824742 | 133 | 0.533779 | 831 | 5,980 | 3.78219 | 0.203369 | 0.044543 | 0.027999 | 0.048998 | 0.484569 | 0.44448 | 0.440025 | 0.388801 | 0.25008 | 0.25008 | 0 | 0.041129 | 0.300669 | 5,980 | 193 | 134 | 30.984456 | 0.710426 | 0.044314 | 0 | 0.269504 | 0 | 0.007092 | 0.1501 | 0.019989 | 0 | 0 | 0 | 0 | 0 | 1 | 0.049645 | false | 0 | 0.056738 | 0 | 0.106383 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |