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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
85c1d41e0ffd477d4930abc2243ffa926855d096 | 565 | py | Python | models.py | Arnaud15/ProjectMSE226 | 11db7260611242ba0e464c0fab266591afb3c1a6 | [
"MIT"
] | null | null | null | models.py | Arnaud15/ProjectMSE226 | 11db7260611242ba0e464c0fab266591afb3c1a6 | [
"MIT"
] | null | null | null | models.py | Arnaud15/ProjectMSE226 | 11db7260611242ba0e464c0fab266591afb3c1a6 | [
"MIT"
] | null | null | null | import sklearn.linear_model as skl
| 56.5 | 118 | 0.723894 | import sklearn.linear_model as skl
def linear_regression(type, penalty_log='l2', alpha=0, l1_ratio=0, fit_intercept=True, normalize=False):
dic = {"ols": skl.LinearRegression(fit_intercept, normalize), 'ridge': skl.Ridge(alpha, fit_intercept, normalize),
"lasso": skl.Lasso(alpha, fit_intercept, normali... | 507 | 0 | 23 |
a2bf734bd139742c1f3f8731ae4083b0bc7bfdd5 | 403 | py | Python | tests/unit/test_util.py | yougov/pmxbot | 7e13ec7dc9c1759a1d6a637b0424d7efbb6c62c1 | [
"MIT"
] | 17 | 2016-01-27T12:10:03.000Z | 2019-08-28T23:02:51.000Z | tests/unit/test_util.py | yougov/pmxbot | 7e13ec7dc9c1759a1d6a637b0424d7efbb6c62c1 | [
"MIT"
] | 79 | 2015-12-02T16:02:01.000Z | 2020-02-09T01:51:05.000Z | tests/unit/test_util.py | yougov/pmxbot | 7e13ec7dc9c1759a1d6a637b0424d7efbb6c62c1 | [
"MIT"
] | 8 | 2016-06-27T11:07:42.000Z | 2019-01-24T20:21:42.000Z | import pytest
from pmxbot import util
@pytest.mark.xfail(reason="Wordnik is unreliable")
@pytest.mark.xfail(reason="#97: Google is unreliable")
| 22.388889 | 54 | 0.784119 | import pytest
from pmxbot import util
@pytest.mark.xfail(reason="Wordnik is unreliable")
def test_lookup(needs_wordnik):
assert util.lookup('dachshund') is not None
@pytest.mark.xfail(reason="#97: Google is unreliable")
def test_emergency_compliment(needs_internet):
assert util.load_emergency_compliments()... | 186 | 0 | 67 |
07faafb2470cb4cfac7096981ce820ce593ba511 | 3,824 | py | Python | examples/statistics.py | chiluf/visvis.dev | 373846ea25044b7ca50f44c63dab4248e14deacd | [
"BSD-3-Clause"
] | null | null | null | examples/statistics.py | chiluf/visvis.dev | 373846ea25044b7ca50f44c63dab4248e14deacd | [
"BSD-3-Clause"
] | null | null | null | examples/statistics.py | chiluf/visvis.dev | 373846ea25044b7ca50f44c63dab4248e14deacd | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
""" This example a coupe of ways to visualize statistic data.
As an example I took the monthly temperature in the region where I live
(Twente, The Netherlands) over the period 1983-2010.
This data was extracted from publicly available data obtained from the
Royal Netherlands Meteorological Inst... | 39.020408 | 77 | 0.656642 | #!/usr/bin/env python
""" This example a coupe of ways to visualize statistic data.
As an example I took the monthly temperature in the region where I live
(Twente, The Netherlands) over the period 1983-2010.
This data was extracted from publicly available data obtained from the
Royal Netherlands Meteorological Inst... | 0 | 0 | 0 |
cdd3664562efc356638d927e7302539928cb2b06 | 1,320 | py | Python | tests/terraform/checks/resource/gcp/test_CloudStorageLogging.py | kylelaker/checkov | 6eada26030a87f397a6bf1831827b3dc6c5dad2d | [
"Apache-2.0"
] | 4,013 | 2019-12-09T13:16:54.000Z | 2022-03-31T14:31:01.000Z | tests/terraform/checks/resource/gcp/test_CloudStorageLogging.py | kylelaker/checkov | 6eada26030a87f397a6bf1831827b3dc6c5dad2d | [
"Apache-2.0"
] | 1,258 | 2019-12-17T09:55:51.000Z | 2022-03-31T19:17:17.000Z | tests/terraform/checks/resource/gcp/test_CloudStorageLogging.py | kylelaker/checkov | 6eada26030a87f397a6bf1831827b3dc6c5dad2d | [
"Apache-2.0"
] | 638 | 2019-12-19T08:57:38.000Z | 2022-03-30T21:38:37.000Z | import unittest
import hcl2
from checkov.common.models.enums import CheckResult
from checkov.terraform.checks.resource.gcp.CloudStorageLogging import check
if __name__ == '__main__':
unittest.main()
| 33 | 82 | 0.625 | import unittest
import hcl2
from checkov.common.models.enums import CheckResult
from checkov.terraform.checks.resource.gcp.CloudStorageLogging import check
class TestCloudStorageLogging(unittest.TestCase):
def test_failure(self):
hcl_res = hcl2.loads("""
resource "google_storage_bucket" "loggin... | 1,008 | 28 | 77 |
802109d07a839590f191a668a78ce0dbc359cb5f | 540 | py | Python | antarest/study/storage/rawstudy/model/filesystem/root/input/hydro/prepro/area/prepro.py | AntaresSimulatorTeam/antaREST | d686d2a86a52737c211ae67f3cee591f559909f2 | [
"Apache-2.0"
] | 2 | 2020-09-30T11:40:22.000Z | 2020-11-09T09:06:30.000Z | antarest/study/storage/rawstudy/model/filesystem/root/input/hydro/prepro/area/prepro.py | AntaresSimulatorTeam/antaREST | d686d2a86a52737c211ae67f3cee591f559909f2 | [
"Apache-2.0"
] | 542 | 2021-01-11T13:23:47.000Z | 2022-03-31T15:38:10.000Z | antarest/study/storage/rawstudy/model/filesystem/root/input/hydro/prepro/area/prepro.py | AntaresSimulatorTeam/antaREST | d686d2a86a52737c211ae67f3cee591f559909f2 | [
"Apache-2.0"
] | 1 | 2020-10-01T12:18:15.000Z | 2020-10-01T12:18:15.000Z | from antarest.study.storage.rawstudy.model.filesystem.config.model import (
FileStudyTreeConfig,
)
from antarest.study.storage.rawstudy.model.filesystem.context import (
ContextServer,
)
from antarest.study.storage.rawstudy.model.filesystem.ini_file_node import (
IniFileNode,
)
| 33.75 | 76 | 0.768519 | from antarest.study.storage.rawstudy.model.filesystem.config.model import (
FileStudyTreeConfig,
)
from antarest.study.storage.rawstudy.model.filesystem.context import (
ContextServer,
)
from antarest.study.storage.rawstudy.model.filesystem.ini_file_node import (
IniFileNode,
)
class InputHydroPreproAreaP... | 174 | 25 | 49 |
d3b5b655afd498b598dfe9266c76d3818cd93340 | 26,166 | py | Python | models/cifar/resnet.py | HRanWang/imagenet_whr | fcfe830c7889a7239d3f791de192d6121f8c316f | [
"MIT"
] | 1 | 2019-10-19T15:30:02.000Z | 2019-10-19T15:30:02.000Z | models/cifar/resnet.py | HRanWang/imagenet_whr | fcfe830c7889a7239d3f791de192d6121f8c316f | [
"MIT"
] | null | null | null | models/cifar/resnet.py | HRanWang/imagenet_whr | fcfe830c7889a7239d3f791de192d6121f8c316f | [
"MIT"
] | null | null | null | from __future__ import absolute_import
'''Resnet for cifar dataset.
Ported form
https://github.com/facebook/fb.resnet.torch
and
https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py
(c) YANG, Wei
'''
import torch.nn as nn
import math
import torch
import numpy as np
__all__ = ['resnet','resnet50']... | 41.798722 | 150 | 0.613697 | from __future__ import absolute_import
'''Resnet for cifar dataset.
Ported form
https://github.com/facebook/fb.resnet.torch
and
https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py
(c) YANG, Wei
'''
import torch.nn as nn
import math
import torch
import numpy as np
__all__ = ['resnet','resnet50']... | 20,490 | 4,004 | 678 |
1c293d539578de6f1ef7fcad8bd8b118b92f8704 | 824 | py | Python | src/python/misc/serifxml_round_trip.py | BBN-E/text-open | c508f6caeaa51a43cdb0bc27d8ed77e5750fdda9 | [
"Apache-2.0"
] | 2 | 2022-03-24T14:37:51.000Z | 2022-03-24T19:56:45.000Z | src/python/misc/serifxml_round_trip.py | BBN-E/text-open | c508f6caeaa51a43cdb0bc27d8ed77e5750fdda9 | [
"Apache-2.0"
] | null | null | null | src/python/misc/serifxml_round_trip.py | BBN-E/text-open | c508f6caeaa51a43cdb0bc27d8ed77e5750fdda9 | [
"Apache-2.0"
] | null | null | null | # Read in serifxml then save it an make sure the files are
# essentially identical
import sys, os
script_dir = os.path.dirname(os.path.realpath(__file__))
sys.path.append(os.path.join(script_dir, ".."))
import serifxml3
if len(sys.argv) != 3:
print("Usage: " + sys.argv[0] + " input-serifxml-file output-serifxml-... | 21.684211 | 80 | 0.713592 | # Read in serifxml then save it an make sure the files are
# essentially identical
import sys, os
script_dir = os.path.dirname(os.path.realpath(__file__))
sys.path.append(os.path.join(script_dir, ".."))
import serifxml3
if len(sys.argv) != 3:
print("Usage: " + sys.argv[0] + " input-serifxml-file output-serifxml-... | 0 | 0 | 0 |
fa60c271da2ff5f23a591f6ce737335abc7c261e | 331 | py | Python | src/kgmk/dsa/algebra/modular/matrix/dot/jit.py | kagemeka/python | 486ce39d97360b61029527bacf00a87fdbcf552c | [
"MIT"
] | null | null | null | src/kgmk/dsa/algebra/modular/matrix/dot/jit.py | kagemeka/python | 486ce39d97360b61029527bacf00a87fdbcf552c | [
"MIT"
] | null | null | null | src/kgmk/dsa/algebra/modular/matrix/dot/jit.py | kagemeka/python | 486ce39d97360b61029527bacf00a87fdbcf552c | [
"MIT"
] | null | null | null | import numpy as np
import numba as nb
@nb.njit | 18.388889 | 51 | 0.567976 | import numpy as np
import numba as nb
@nb.njit
def mod_matrix_dot(
a: np.ndarray,
b: np.ndarray,
mod: int,
) -> np.ndarray:
ha, wa = a.shape
hb, wb = b.shape
assert wa == hb
c = np.zeros((ha, wb), np.int64)
for i in range(ha):
for j in range(wb):
c[i, j] = np.sum(a[i] * b[:, j] % mod) % mod ... | 261 | 0 | 22 |
8ae9ce3f0d275395b8f614a561a53d141570dcb2 | 707 | py | Python | SeRe/tools/data_pre/filename2txt.py | Anny-Anny/SeRe | 2483269c5b5b36673b8893bb026689d731226cb8 | [
"MIT"
] | null | null | null | SeRe/tools/data_pre/filename2txt.py | Anny-Anny/SeRe | 2483269c5b5b36673b8893bb026689d731226cb8 | [
"MIT"
] | null | null | null | SeRe/tools/data_pre/filename2txt.py | Anny-Anny/SeRe | 2483269c5b5b36673b8893bb026689d731226cb8 | [
"MIT"
] | null | null | null | import os
ROOT = '/home/xjw/Downloads/code/mmsegmentation-0.21.0/'
def txt2filename(txt_path):
"""
@param txt_path:
@return: 返回数据集中包含的所有图片的名称
"""
data = []
with open(txt_path, 'r') as f:
for ch in f.readlines():
data.append(ch.strip())
return data
if __name__ == '_... | 23.566667 | 98 | 0.592645 | import os
ROOT = '/home/xjw/Downloads/code/mmsegmentation-0.21.0/'
def filename2txt(filepath, txt_path):
with open(txt_path, 'w+') as f:
for root, dirs, files in os.walk(filepath):
for name in files:
f.write(name.split(".")[0] + '\n')
f.close()
def txt2filename(txt_path)... | 200 | 0 | 23 |
e38cea4dfc6f41ac44fabb67e89d4f818b54bb37 | 1,013 | py | Python | Python/Multiflex_set_binary_mode.py | Terabee/sample_codes | a58676f5e7fec1dfcacc5269515b3ef069b01ec7 | [
"MIT"
] | 13 | 2019-06-24T05:34:08.000Z | 2022-01-16T08:37:37.000Z | Python/Multiflex_set_binary_mode.py | Terabee/sample_codes | a58676f5e7fec1dfcacc5269515b3ef069b01ec7 | [
"MIT"
] | 8 | 2019-08-28T17:30:23.000Z | 2021-10-01T17:07:23.000Z | Python/Multiflex_set_binary_mode.py | Terabee/sample_codes | a58676f5e7fec1dfcacc5269515b3ef069b01ec7 | [
"MIT"
] | 10 | 2019-04-30T20:19:41.000Z | 2021-02-10T19:32:39.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Example TeraRanger MultiFlex configuration script.
For more information about how to use this script, please refer to this document:
https://www.terabee.com/wp-content/uploads/2017/09/TR-MF-Python-ReadMe.pdf
"""
import sys
import binascii
import serial
if __name__ ==... | 26.657895 | 81 | 0.642646 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Example TeraRanger MultiFlex configuration script.
For more information about how to use this script, please refer to this document:
https://www.terabee.com/wp-content/uploads/2017/09/TR-MF-Python-ReadMe.pdf
"""
import sys
import binascii
import serial
if __name__ ==... | 0 | 0 | 0 |
aecbe0d40235ca0fe8d7b8b6e024663d65c7ef43 | 1,236 | py | Python | homepage/migrations/0007_userprofile_follows.py | Andre-Azu/instagramclone | 94906c7d2f88c24c156b19a96ab0edf619c67277 | [
"Unlicense"
] | null | null | null | homepage/migrations/0007_userprofile_follows.py | Andre-Azu/instagramclone | 94906c7d2f88c24c156b19a96ab0edf619c67277 | [
"Unlicense"
] | null | null | null | homepage/migrations/0007_userprofile_follows.py | Andre-Azu/instagramclone | 94906c7d2f88c24c156b19a96ab0edf619c67277 | [
"Unlicense"
] | null | null | null | # Generated by Django 4.0 on 2021-12-15 07:28
from django.db import migrations, models
import django.db.models.deletion
| 38.625 | 146 | 0.615696 | # Generated by Django 4.0 on 2021-12-15 07:28
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('homepage', '0006_image_comments_image_likes'),
]
operations = [
migrations.CreateModel(
name='Use... | 0 | 1,091 | 23 |
5cbfbd355f1a6d92f9d29c7c9a4593dc242bdb15 | 5,347 | py | Python | gateapi-python/gate_api/models/options_underlying_ticker.py | jarenmt/IEOPUMP | 220f7f612d299f7305e82fe6c33661e6871f2d86 | [
"MIT"
] | null | null | null | gateapi-python/gate_api/models/options_underlying_ticker.py | jarenmt/IEOPUMP | 220f7f612d299f7305e82fe6c33661e6871f2d86 | [
"MIT"
] | null | null | null | gateapi-python/gate_api/models/options_underlying_ticker.py | jarenmt/IEOPUMP | 220f7f612d299f7305e82fe6c33661e6871f2d86 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Gate API v4
Welcome to Gate.io API APIv4 provides spot, margin and futures trading operations. There are public APIs to retrieve the real-time market statistics, and private APIs which needs authentication to trade on user's behalf. # noqa: E501
Contact: support@mail.gate.io
Gen... | 31.452941 | 239 | 0.616607 | # coding: utf-8
"""
Gate API v4
Welcome to Gate.io API APIv4 provides spot, margin and futures trading operations. There are public APIs to retrieve the real-time market statistics, and private APIs which needs authentication to trade on user's behalf. # noqa: E501
Contact: support@mail.gate.io
Gen... | 0 | 0 | 0 |
f5b61b7592684510eb43bc9ae6e4136074f3f566 | 577 | py | Python | accounts/admin.py | GermanMtzmx/mailtest | 9ec3f51344e6968698f8313ef987fca4d2907cdf | [
"Xnet",
"X11"
] | null | null | null | accounts/admin.py | GermanMtzmx/mailtest | 9ec3f51344e6968698f8313ef987fca4d2907cdf | [
"Xnet",
"X11"
] | null | null | null | accounts/admin.py | GermanMtzmx/mailtest | 9ec3f51344e6968698f8313ef987fca4d2907cdf | [
"Xnet",
"X11"
] | null | null | null | from django.contrib import admin
class UserAdmin(admin.ModelAdmin):
"""User admin"""
exclude = ('renewed',)
list_display = ('username', 'email',
'isActive', 'created', 'modified')
list_filter = ('isActive',)
search_fields = ('firstName',
'lastName', 'username', 'email')
class... | 19.896552 | 51 | 0.637782 | from django.contrib import admin
class UserAdmin(admin.ModelAdmin):
"""User admin"""
exclude = ('renewed',)
list_display = ('username', 'email',
'isActive', 'created', 'modified')
list_filter = ('isActive',)
search_fields = ('firstName',
'lastName', 'username', 'email')
class... | 0 | 0 | 0 |
b2aa72705f3ef23ab152b930ee038b7c4589011a | 2,545 | py | Python | J1939_PGN/J1939_PGN.py | CSS-Electronics/j1939_pgn | e268e1b2713c9f0d8634dda30e6493235eee5e56 | [
"MIT"
] | 1 | 2021-06-22T07:24:08.000Z | 2021-06-22T07:24:08.000Z | J1939_PGN/J1939_PGN.py | CSS-Electronics/j1939_pgn | e268e1b2713c9f0d8634dda30e6493235eee5e56 | [
"MIT"
] | null | null | null | J1939_PGN/J1939_PGN.py | CSS-Electronics/j1939_pgn | e268e1b2713c9f0d8634dda30e6493235eee5e56 | [
"MIT"
] | null | null | null | from enum import Enum, auto
class J1939_PDU(Enum):
"""
J1939 PDU type
"""
PDU1 = auto()
PDU2 = auto()
class J1939_PGN:
"""
J1939 PGN class.
"""
_id = None
def __init__(self, msg_id: int = None, msg_pgn: int = None):
"""
Takes either a message ID or PGN
... | 21.752137 | 64 | 0.46169 | from enum import Enum, auto
class J1939_PDU(Enum):
"""
J1939 PDU type
"""
PDU1 = auto()
PDU2 = auto()
class J1939_PGN:
"""
J1939 PGN class.
"""
_id = None
def __init__(self, msg_id: int = None, msg_pgn: int = None):
"""
Takes either a message ID or PGN
... | 363 | 0 | 27 |
13568121b4814c3d81c59418c50fdd6901e9fb77 | 379 | py | Python | exercises/exercise26.py | djangojeng-e/TIL | bdbe1dfb6ebc48b89067fddda195227cca64b8dc | [
"MIT"
] | null | null | null | exercises/exercise26.py | djangojeng-e/TIL | bdbe1dfb6ebc48b89067fddda195227cca64b8dc | [
"MIT"
] | null | null | null | exercises/exercise26.py | djangojeng-e/TIL | bdbe1dfb6ebc48b89067fddda195227cca64b8dc | [
"MIT"
] | null | null | null |
birthday_dictionary = {
"Albert Einstein" : "1/12/1912",
"Jeong Eun Kim" : "21/12/1983",
"Djangojeng-e" : "18/12/1986",
"Django": "01/01/2005"
}
name = input("Who's Birthday do you want to look up?")
if name in birthday_dictionary:
print(f'{name}s birthday is {birthday_dictionary[name]}')
else... | 21.055556 | 62 | 0.630607 |
birthday_dictionary = {
"Albert Einstein" : "1/12/1912",
"Jeong Eun Kim" : "21/12/1983",
"Djangojeng-e" : "18/12/1986",
"Django": "01/01/2005"
}
name = input("Who's Birthday do you want to look up?")
if name in birthday_dictionary:
print(f'{name}s birthday is {birthday_dictionary[name]}')
else... | 0 | 0 | 0 |
49d3502c205ec9a70b70b5cd9b2d3a0fa593abcc | 1,621 | py | Python | Dice Rolling Simulator/dice_game.py | Hongyanlee0614/Cool-Python-Projects | 4e35822b696674221636ede1b86acc0793305c18 | [
"MIT"
] | null | null | null | Dice Rolling Simulator/dice_game.py | Hongyanlee0614/Cool-Python-Projects | 4e35822b696674221636ede1b86acc0793305c18 | [
"MIT"
] | null | null | null | Dice Rolling Simulator/dice_game.py | Hongyanlee0614/Cool-Python-Projects | 4e35822b696674221636ede1b86acc0793305c18 | [
"MIT"
] | null | null | null | import tkinter # for GUI
from PIL import Image, ImageTk # operation regarding image
import random
# toplevel widget which represents the main window of an application
root = tkinter.Tk()
root.geometry('400x400')
root.title('Data Flair Roll the Dice')
# Adding label into the frame. Here we skip a line
l0 =... | 30.018519 | 80 | 0.687847 | import tkinter # for GUI
from PIL import Image, ImageTk # operation regarding image
import random
# toplevel widget which represents the main window of an application
root = tkinter.Tk()
root.geometry('400x400')
root.title('Data Flair Roll the Dice')
# Adding label into the frame. Here we skip a line
l0 =... | 171 | 0 | 25 |
e1bc973a11687fa3e830c8942a5ed3120eac2208 | 197 | py | Python | fetch_gitignore/__init__.py | clickyotomy/git-fetch-gitignore | f534abf491f15ac85540fcb6ff5c6a9837c9b14e | [
"MIT"
] | 3 | 2016-09-16T12:19:36.000Z | 2019-08-08T20:24:57.000Z | fetch_gitignore/__init__.py | clickyotomy/git-fetch-gitignore | f534abf491f15ac85540fcb6ff5c6a9837c9b14e | [
"MIT"
] | null | null | null | fetch_gitignore/__init__.py | clickyotomy/git-fetch-gitignore | f534abf491f15ac85540fcb6ff5c6a9837c9b14e | [
"MIT"
] | null | null | null | #! /usr/bin/env python2.7
'''
__init__ file for fetch_gitignore.
'''
__author__ = "Srinidhi Kaushik"
__license__ = "MIT"
__version__ = "0.0.1"
__email__ = "clickyotomy@users.noreply.github.com"
| 16.416667 | 50 | 0.715736 | #! /usr/bin/env python2.7
'''
__init__ file for fetch_gitignore.
'''
__author__ = "Srinidhi Kaushik"
__license__ = "MIT"
__version__ = "0.0.1"
__email__ = "clickyotomy@users.noreply.github.com"
| 0 | 0 | 0 |
2a4e2a2f19d2573e61fe39bb7dc94a42dc9ed626 | 3,030 | py | Python | lista07_listaEncadeada/pylista07_questao06.py | mayararysia/ESTD | 65aa8816aa8773066201cb410b02c1cb72ad5611 | [
"MIT"
] | null | null | null | lista07_listaEncadeada/pylista07_questao06.py | mayararysia/ESTD | 65aa8816aa8773066201cb410b02c1cb72ad5611 | [
"MIT"
] | null | null | null | lista07_listaEncadeada/pylista07_questao06.py | mayararysia/ESTD | 65aa8816aa8773066201cb410b02c1cb72ad5611 | [
"MIT"
] | null | null | null | """
06.
Escreva um método show() para escrever toda a lista. Exemplo: lista = ListaOrdenada();
lista.append(3); lista.append(2); lista.show() imprime: [2,3]
"""
#Implementação da Classe Noh
#Lista não ordenada:
if __name__ == '__main__':
minha_lista = ListaOrdenada() #exemplo de uso
print(minha_lista.isEmpty())
... | 23.129771 | 86 | 0.593729 | """
06.
Escreva um método show() para escrever toda a lista. Exemplo: lista = ListaOrdenada();
lista.append(3); lista.append(2); lista.show() imprime: [2,3]
"""
#Implementação da Classe Noh
class Noh:
def __init__(self,valor_inicial):
self._dados = valor_inicial
self._proximo = None
def getData(self):
... | 2,181 | -12 | 371 |
b2524167a78952f075171b4993c8cca048abf2dd | 901 | py | Python | experiment/hyper-params-search/hps/common/Common.py | GyunHyukLee/GoldMine | 93d765934cd8c4e152f12dc1a9677bd77ea64f28 | [
"Apache-2.0"
] | 13 | 2020-06-01T06:31:01.000Z | 2021-03-08T04:57:01.000Z | experiment/hyper-params-search/hps/common/Common.py | GyunHyukLee/GoldMine | 93d765934cd8c4e152f12dc1a9677bd77ea64f28 | [
"Apache-2.0"
] | 1 | 2020-10-13T08:56:38.000Z | 2020-10-13T08:56:38.000Z | experiment/hyper-params-search/hps/common/Common.py | GyunHyukLee/GoldMine | 93d765934cd8c4e152f12dc1a9677bd77ea64f28 | [
"Apache-2.0"
] | 7 | 2020-06-03T01:46:22.000Z | 2021-03-08T04:57:04.000Z | # -*- coding: utf-8 -*-
# Author : Jin Kim
# e-mail : jinkim@seculayer.com
# Powered by Seculayer © 2020 Solution Development 2 Team, R&D Center.
import os
from hps.common.Constants import Constants
from hps.utils.Singleton import Singleton
from hps.utils.MPLogger import MPLogger
from hps.utils.CommonUtils import Co... | 32.178571 | 93 | 0.7303 | # -*- coding: utf-8 -*-
# Author : Jin Kim
# e-mail : jinkim@seculayer.com
# Powered by Seculayer © 2020 Solution Development 2 Team, R&D Center.
import os
from hps.common.Constants import Constants
from hps.utils.Singleton import Singleton
from hps.utils.MPLogger import MPLogger
from hps.utils.CommonUtils import Co... | 0 | 531 | 22 |
57d9b30c8c5f267a7385f0b7589bbb8355313743 | 2,306 | py | Python | posto/webhook/auth.py | tefra/posto | 95cc39348f0c59339d9b7038d8640510849a2805 | [
"MIT"
] | null | null | null | posto/webhook/auth.py | tefra/posto | 95cc39348f0c59339d9b7038d8640510849a2805 | [
"MIT"
] | 1 | 2022-01-27T09:37:28.000Z | 2022-01-27T09:40:50.000Z | posto/webhook/auth.py | tefra/posto | 95cc39348f0c59339d9b7038d8640510849a2805 | [
"MIT"
] | null | null | null | import functools
import hmac
from typing import Any
from typing import Callable
from typing import Optional
from flask import abort
from flask import current_app
from flask import request
from werkzeug.exceptions import ServiceUnavailable
def authorize_source() -> Callable:
"""Detect the source from the headers ... | 25.622222 | 80 | 0.645707 | import functools
import hmac
from typing import Any
from typing import Callable
from typing import Optional
from flask import abort
from flask import current_app
from flask import request
from werkzeug.exceptions import ServiceUnavailable
def authorize_source() -> Callable:
"""Detect the source from the headers ... | 492 | 0 | 27 |
e509428d899feeca516dab5cb1e43ec7ec393808 | 15,280 | py | Python | python/pysvso/optimizers/icp.py | mfkiwl/SEMANTIC_VISUAL_SUPPORTED_ODEMETRY | 2249bf358f51b337eb52a347ea7d46bff0654576 | [
"Apache-2.0"
] | 191 | 2020-07-01T11:57:17.000Z | 2022-03-23T12:40:43.000Z | python/pysvso/optimizers/icp.py | mfkiwl/SEMANTIC_VISUAL_SUPPORTED_ODEMETRY | 2249bf358f51b337eb52a347ea7d46bff0654576 | [
"Apache-2.0"
] | 10 | 2020-07-06T12:41:51.000Z | 2022-02-09T23:43:11.000Z | python/pysvso/optimizers/icp.py | mfkiwl/SEMANTIC_VISUAL_SUPPORTED_ODEMETRY | 2249bf358f51b337eb52a347ea7d46bff0654576 | [
"Apache-2.0"
] | 45 | 2020-07-01T13:31:20.000Z | 2022-02-03T07:21:42.000Z | import numpy as np
from enum import Enum
from pysvso.lib.maths.rotation import Euler, Quaternion, rotation_matrix, dRx, dRy, dRz
from scipy.optimize import fmin_bfgs
from scipy.optimize import fmin
from scipy.optimize import minimize
from scipy.optimize import approx_fprime
# when point cloud is parse
from sklearn.nei... | 30.499002 | 142 | 0.532199 | import numpy as np
from enum import Enum
from pysvso.lib.maths.rotation import Euler, Quaternion, rotation_matrix, dRx, dRy, dRz
from scipy.optimize import fmin_bfgs
from scipy.optimize import fmin
from scipy.optimize import minimize
from scipy.optimize import approx_fprime
# when point cloud is parse
from sklearn.nei... | 9,835 | 4,125 | 221 |
7f93836e41dc7de37d20c9086ad3bdf24f6efdd0 | 938 | py | Python | train.py | tfandkusu/food101-tflite | be09912a8b7c398a348eb86a1b216356e56cbe13 | [
"Apache-2.0"
] | 7 | 2019-05-12T22:44:37.000Z | 2021-06-07T08:29:58.000Z | train.py | tfkeras/food101-tflite | be09912a8b7c398a348eb86a1b216356e56cbe13 | [
"Apache-2.0"
] | null | null | null | train.py | tfkeras/food101-tflite | be09912a8b7c398a348eb86a1b216356e56cbe13 | [
"Apache-2.0"
] | 3 | 2019-06-04T12:08:43.000Z | 2020-04-23T18:09:29.000Z | import tensorflow as tf
import model
import data
# 訓練データ作成担当
g = data.Data()
# GPUをすべて使わないオプション
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
sess = tf.Session(config=config)
tf.keras.backend.set_session(sess)
# モデルを作成
model = model.make(tflite=False)
# 最適化を定義
optimizer = tf.keras.optimizers.Adam(lr... | 26.8 | 66 | 0.749467 | import tensorflow as tf
import model
import data
# 訓練データ作成担当
g = data.Data()
# GPUをすべて使わないオプション
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
sess = tf.Session(config=config)
tf.keras.backend.set_session(sess)
# モデルを作成
model = model.make(tflite=False)
# 最適化を定義
optimizer = tf.keras.optimizers.Adam(lr... | 0 | 161 | 22 |
96d3891dd1dd4c7b4e68f80119deca6d242b9c04 | 6,468 | py | Python | fastapi/account/controllers/account.py | ilDug/docker-utils | 6580e916a8c2c0d91f2e3da52a9d839507569bb7 | [
"MIT"
] | null | null | null | fastapi/account/controllers/account.py | ilDug/docker-utils | 6580e916a8c2c0d91f2e3da52a9d839507569bb7 | [
"MIT"
] | null | null | null | fastapi/account/controllers/account.py | ilDug/docker-utils | 6580e916a8c2c0d91f2e3da52a9d839507569bb7 | [
"MIT"
] | null | null | null | import uuid
import hashlib
import bcrypt
import json
from string import Template
from datetime import datetime
from fastapi import HTTPException
from fastapi.encoders import jsonable_encoder
from pydantic import IPvAnyAddress
from pymongo import MongoClient
from bson import json_util
from core.models import MongoMode... | 36.96 | 110 | 0.548237 | import uuid
import hashlib
import bcrypt
import json
from string import Template
from datetime import datetime
from fastapi import HTTPException
from fastapi.encoders import jsonable_encoder
from pydantic import IPvAnyAddress
from pymongo import MongoClient
from bson import json_util
from core.models import MongoMode... | 5,367 | 458 | 23 |
511eaa58ab745f5d34d4945e2abfe854d6b5c2c5 | 1,305 | py | Python | tools/ui2py.py | BYUCamachoLab/autogator | 464d43d797c58a03263527bb7fdc737adb045c75 | [
"MIT"
] | null | null | null | tools/ui2py.py | BYUCamachoLab/autogator | 464d43d797c58a03263527bb7fdc737adb045c75 | [
"MIT"
] | 2 | 2021-05-04T15:46:46.000Z | 2022-02-14T19:18:38.000Z | tools/ui2py.py | BYUCamachoLab/autogator | 464d43d797c58a03263527bb7fdc737adb045c75 | [
"MIT"
] | 2 | 2019-09-09T20:33:02.000Z | 2019-09-25T21:44:46.000Z | #! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright © Autogator Project Contributors
# Licensed under the terms of the MIT License
# (see autogator/__init__.py for details)
"""
Tool that converts all .ui and .qrc files in the autogator.resources folder to
python files in autogator.compiled.
Usage:
$ python3 ... | 31.071429 | 85 | 0.616092 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright © Autogator Project Contributors
# Licensed under the terms of the MIT License
# (see autogator/__init__.py for details)
"""
Tool that converts all .ui and .qrc files in the autogator.resources folder to
python files in autogator.compiled.
Usage:
$ python3 ... | 0 | 0 | 0 |
37f14711c2fe081a327c2678cd3e96f52faa5215 | 2,150 | py | Python | annotate/tests/test_pages.py | iafisher/exegesis | 25bb55ecf82e9ffbf4dbdb71e6e86000d37a9966 | [
"MIT"
] | null | null | null | annotate/tests/test_pages.py | iafisher/exegesis | 25bb55ecf82e9ffbf4dbdb71e6e86000d37a9966 | [
"MIT"
] | 7 | 2018-07-28T02:30:45.000Z | 2018-08-11T21:05:55.000Z | annotate/tests/test_pages.py | iafisher/exegesis | 25bb55ecf82e9ffbf4dbdb71e6e86000d37a9966 | [
"MIT"
] | null | null | null | from django.contrib.auth import get_user_model
from django.test import TestCase
from annotate import models
class TestPages(TestCase):
"""Test that the proper templates are used to render pages."""
| 38.392857 | 77 | 0.669767 | from django.contrib.auth import get_user_model
from django.test import TestCase
from annotate import models
class TestPages(TestCase):
"""Test that the proper templates are used to render pages."""
def setUp(self):
User = get_user_model()
User.objects.create_user('temporary', 'temporary@examp... | 1,757 | 0 | 189 |
ae43fe8255d01b1bdd638bd84beb9976436c8118 | 1,117 | py | Python | Resize.py | PENGsBIT/PIL-demo | 36181d79ca6ab9fe177d734ab20ec093a9ba2246 | [
"Apache-2.0"
] | null | null | null | Resize.py | PENGsBIT/PIL-demo | 36181d79ca6ab9fe177d734ab20ec093a9ba2246 | [
"Apache-2.0"
] | null | null | null | Resize.py | PENGsBIT/PIL-demo | 36181d79ca6ab9fe177d734ab20ec093a9ba2246 | [
"Apache-2.0"
] | null | null | null | # -*-coding:utf-8-*-
import numpy as np
from PIL import Image
from scipy import misc
| 32.852941 | 97 | 0.617726 | # -*-coding:utf-8-*-
import numpy as np
from PIL import Image
from scipy import misc
def resize(img):
# img = Image.open(cirFileName)
# w, h = img.size
# # 去掉浮点，防报错
# w, h = round(w * 0.2), round(h * 0.2)
img = img.resize((200, 200), Image.ANTIALIAS).convert("RGBA")
return img
def getResultA... | 1,000 | 0 | 46 |
f179ba977ded22d79e6b5ab337596e7134fe8e7c | 2,023 | py | Python | .ipynb_checkpoints/settings-checkpoint.py | dbbabcock/data_690_ai_the_toy_show | 97614cdaa1d7204abd1c30b5463976578be6a67d | [
"MIT"
] | null | null | null | .ipynb_checkpoints/settings-checkpoint.py | dbbabcock/data_690_ai_the_toy_show | 97614cdaa1d7204abd1c30b5463976578be6a67d | [
"MIT"
] | null | null | null | .ipynb_checkpoints/settings-checkpoint.py | dbbabcock/data_690_ai_the_toy_show | 97614cdaa1d7204abd1c30b5463976578be6a67d | [
"MIT"
] | null | null | null | from datetime import datetime
import torch
import torchvision
def load_stored_resnet_model(categories, file_path):
'''Adapted from NVIDIA DLI Course Code: Getting Started with AI on Jetson Nano'''
print("Loading stored classification model...")
# If we're on the Jetson Nano use cuda, otherwise cpu:
... | 38.169811 | 92 | 0.638655 | from datetime import datetime
import torch
import torchvision
def __init__():
global toy_list, model_file_path, model, response_dict, computer_name, categories
toy_list = ['Minnie Mouse', 'Tigger', 'Horse', 'White Bear', 'Flamingo', 'Tiger Puppet',
'Elephant Puppet', 'Oriole', 'Black ... | 1,243 | 0 | 50 |
bfb54c2d2ea587f2eea3dd14e9aabadd7e86ef91 | 550 | py | Python | utea_web/moduli/migrations/0009_auto_20181003_1248.py | arol-varesi/utea_web | 36b04656b93b123d3805d25ee4e61c6ae68252ed | [
"MIT"
] | null | null | null | utea_web/moduli/migrations/0009_auto_20181003_1248.py | arol-varesi/utea_web | 36b04656b93b123d3805d25ee4e61c6ae68252ed | [
"MIT"
] | null | null | null | utea_web/moduli/migrations/0009_auto_20181003_1248.py | arol-varesi/utea_web | 36b04656b93b123d3805d25ee4e61c6ae68252ed | [
"MIT"
] | 1 | 2021-10-02T11:45:34.000Z | 2021-10-02T11:45:34.000Z | # Generated by Django 2.1.1 on 2018-10-03 10:48
from django.db import migrations, models
| 22.916667 | 50 | 0.581818 | # Generated by Django 2.1.1 on 2018-10-03 10:48
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('moduli', '0008_auto_20181002_2154'),
]
operations = [
migrations.AlterField(
model_name='sigla',
name='descrizione',... | 0 | 436 | 23 |
9f9d45af4cae398c88e5f196080679db57c797e3 | 540 | py | Python | venv/lib/python3.8/site-packages/zif.py | Jn-mic/Projects-Portfolio | 642b9e58b81e8d505cc7462370e80fbab2945fd9 | [
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/zif.py | Jn-mic/Projects-Portfolio | 642b9e58b81e8d505cc7462370e80fbab2945fd9 | [
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/zif.py | Jn-mic/Projects-Portfolio | 642b9e58b81e8d505cc7462370e80fbab2945fd9 | [
"MIT"
] | null | null | null | import zipfile
# #压缩
# file=zipfile.ZipFile('text.zip','w')#text.zip创建压缩包文件名 w读
# file.write("class.py")#压缩的文件名
# file.close()
#解压缩
# file=zipfile.ZipFile('text.zip','r')#写
# file.extractall(path="../")#写到哪个路径下 创建到卓面 默认是在跟慕入下面
#暴力破解加密的压缩包
fileobj=open("pwd.txt","r")#新建一个txt文件
for item in fileobj.readline... | 25.714286 | 59 | 0.631481 | import zipfile
# #压缩
# file=zipfile.ZipFile('text.zip','w')#text.zip创建压缩包文件名 w读
# file.write("class.py")#压缩的文件名
# file.close()
#解压缩
# file=zipfile.ZipFile('text.zip','r')#写
# file.extractall(path="../")#写到哪个路径下 创建到卓面 默认是在跟慕入下面
#暴力破解加密的压缩包
fileobj=open("pwd.txt","r")#新建一个txt文件
for item in fileobj.readline... | 0 | 0 | 0 |
c8c11a61c01891c5110af5047097e53b2754d5ff | 2,155 | py | Python | feature_extraction/measurements/granularity.py | widoptimization-willett/feature-extraction | 25e963e3383673aad6aedfd504e69a1df7f47f9a | [
"Apache-2.0"
] | null | null | null | feature_extraction/measurements/granularity.py | widoptimization-willett/feature-extraction | 25e963e3383673aad6aedfd504e69a1df7f47f9a | [
"Apache-2.0"
] | null | null | null | feature_extraction/measurements/granularity.py | widoptimization-willett/feature-extraction | 25e963e3383673aad6aedfd504e69a1df7f47f9a | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
import numpy as np
import skimage
import skimage.morphology as morph
from . import Measurement
from ..util.cleanup import cell_aoi_and_clip
| 34.758065 | 117 | 0.706729 | # coding=utf-8
import numpy as np
import skimage
import skimage.morphology as morph
from . import Measurement
from ..util.cleanup import cell_aoi_and_clip
class Granularity(Measurement):
default_options = {
'subsampling': 2, # 2x downsampling
'element_size': 20,
'spectrum_length': 16,
# standard stuff
'... | 1,753 | 224 | 23 |
4ecda2218db21b332e4657876d786a1dfb654049 | 8,817 | py | Python | src/Linestring.py | Lovely-XPP/tkzgeom | bf68e139dc05f759542d6611f4dc07f4f2727b92 | [
"MIT"
] | 41 | 2021-11-24T05:54:08.000Z | 2022-03-26T10:19:30.000Z | src/Linestring.py | Lovely-XPP/tkzgeom | bf68e139dc05f759542d6611f4dc07f4f2727b92 | [
"MIT"
] | 1 | 2022-02-28T04:34:51.000Z | 2022-03-07T10:49:27.000Z | src/Linestring.py | Lovely-XPP/tkzgeom | bf68e139dc05f759542d6611f4dc07f4f2727b92 | [
"MIT"
] | 10 | 2021-11-24T07:35:17.000Z | 2022-03-25T18:42:14.000Z | from PyQt5 import QtCore, QtWidgets, QtGui
from Item import Item
from Tikzifyables.Arrowable import Arrowable
from Tikzifyables.DashPatternable import DashPatternable
from Tikzifyables.Colourable.LineColourable import LineColourable
from Tikzifyables.Decorationable import Decorationable
from Tikzifyables.CurveStrategy... | 52.171598 | 135 | 0.653851 | from PyQt5 import QtCore, QtWidgets, QtGui
from Item import Item
from Tikzifyables.Arrowable import Arrowable
from Tikzifyables.DashPatternable import DashPatternable
from Tikzifyables.Colourable.LineColourable import LineColourable
from Tikzifyables.Decorationable import Decorationable
from Tikzifyables.CurveStrategy... | 7,494 | 880 | 23 |
67995b2f86c3ae2b6a09815a02f81e478aa1eb27 | 12,847 | py | Python | virtnet_conf.py | gizmoguy/faucet-gui | 0055b29be284dfcc68e36f3f0f864c99c062376c | [
"Apache-2.0"
] | 16 | 2018-08-31T02:17:55.000Z | 2021-12-27T06:43:51.000Z | virtnet_conf.py | urantialife/faucet-gui | f9741a8c47da6fc6fb1a508c794e04bcb69cfef6 | [
"Apache-2.0"
] | 2 | 2018-08-31T04:02:09.000Z | 2021-06-04T13:27:48.000Z | virtnet_conf.py | urantialife/faucet-gui | f9741a8c47da6fc6fb1a508c794e04bcb69cfef6 | [
"Apache-2.0"
] | 9 | 2019-01-06T17:58:48.000Z | 2021-12-28T17:59:55.000Z | """
PROGRAM_NAME: virtnet_creator
FILE_NAME: conf.py
AUTHOR: Brendan Geoghegan
PROGRAM_DESCRIPTION: This program is a GUI application for users to build or load network topologies that
have a SDN controller at their center. The original code tied into a Xen loadout used to clone, startup, and
operate VMs, but this ... | 49.794574 | 120 | 0.592745 | """
PROGRAM_NAME: virtnet_creator
FILE_NAME: conf.py
AUTHOR: Brendan Geoghegan
PROGRAM_DESCRIPTION: This program is a GUI application for users to build or load network topologies that
have a SDN controller at their center. The original code tied into a Xen loadout used to clone, startup, and
operate VMs, but this ... | 10,725 | 0 | 286 |
9630077f65b7d28eba7099895195d4d403635301 | 339 | py | Python | StoryMap/apps/users/admin.py | LittleBai0606/StoryMap | 1169e763031f92ee6da65829fa9cbce1ebd991ad | [
"MIT"
] | 1 | 2021-11-01T05:58:25.000Z | 2021-11-01T05:58:25.000Z | StoryMap/apps/users/admin.py | LittleBai0606/StoryMap | 1169e763031f92ee6da65829fa9cbce1ebd991ad | [
"MIT"
] | null | null | null | StoryMap/apps/users/admin.py | LittleBai0606/StoryMap | 1169e763031f92ee6da65829fa9cbce1ebd991ad | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import UserProfile
# Register your models here.
admin.site.register(UserProfile, UserProfileAdmin)
| 24.214286 | 92 | 0.722714 | from django.contrib import admin
from .models import UserProfile
# Register your models here.
class UserProfileAdmin(admin.ModelAdmin):
fields = ['username', 'password', 'email', 'nickname', 'gender', 'birthday', 'avatar', ]
list_display = ['username', 'email', 'nickname']
admin.site.register(UserProfile,... | 0 | 168 | 23 |
df7a5da0ce6a0c9361b27bfdc4e070c0fb9fba67 | 2,013 | py | Python | turn_classification/turn_classification.py | team8/outdoor-blind-navigation | 78b99fe1a193161c4b809990c71940fbed719785 | [
"MIT"
] | 6 | 2021-05-18T16:46:04.000Z | 2022-01-08T02:49:27.000Z | turn_classification/turn_classification.py | aoberai/outdoor-blind-navigation | 78b99fe1a193161c4b809990c71940fbed719785 | [
"MIT"
] | 15 | 2021-05-19T23:40:50.000Z | 2021-07-06T08:24:40.000Z | turn_classification/turn_classification.py | aoberai/outdoor-blind-navigation | 78b99fe1a193161c4b809990c71940fbed719785 | [
"MIT"
] | 4 | 2021-05-26T02:10:43.000Z | 2021-09-04T17:59:51.000Z | import cv2
import threading
import tensorflow as tf
import numpy as np
import time
import capturer
from utils.circularBuffer import CircularBuffer
labels = ['Left Turn', 'No Turn', 'Right Turn']
model_path = "./turn_classification/turn_classification_model_final_v1.h5"
readings_buffer_size = 20
image_preprocessing_dim... | 38.711538 | 141 | 0.694983 | import cv2
import threading
import tensorflow as tf
import numpy as np
import time
import capturer
from utils.circularBuffer import CircularBuffer
labels = ['Left Turn', 'No Turn', 'Right Turn']
model_path = "./turn_classification/turn_classification_model_final_v1.h5"
readings_buffer_size = 20
image_preprocessing_dim... | 1,487 | 4 | 158 |
8a3a89d4511059d142d7dd9786e728c20d3522fe | 8,071 | py | Python | ardana_service/admin.py | ArdanaCLM/ardana-service | 680099101de36fce893ef6d138b75d778f92f182 | [
"Apache-2.0"
] | 1 | 2017-07-20T01:04:21.000Z | 2017-07-20T01:04:21.000Z | ardana_service/admin.py | GarySmith/ardana-service | 680099101de36fce893ef6d138b75d778f92f182 | [
"Apache-2.0"
] | null | null | null | ardana_service/admin.py | GarySmith/ardana-service | 680099101de36fce893ef6d138b75d778f92f182 | [
"Apache-2.0"
] | 2 | 2017-08-02T17:18:47.000Z | 2019-10-11T23:48:58.000Z | # (c) Copyright 2017-2019 SUSE LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | 26.813953 | 79 | 0.638087 | # (c) Copyright 2017-2019 SUSE LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | 369 | 0 | 45 |
3a3491b43a5a2b9285bd18407b12c00d9f4f6e46 | 8,549 | py | Python | src/generate.py | josephnavarro/ascii-art-generator | 9317aaff92b58ab68a9598fdb89c95699bea4927 | [
"MIT"
] | null | null | null | src/generate.py | josephnavarro/ascii-art-generator | 9317aaff92b58ab68a9598fdb89c95699bea4927 | [
"MIT"
] | null | null | null | src/generate.py | josephnavarro/ascii-art-generator | 9317aaff92b58ab68a9598fdb89c95699bea4927 | [
"MIT"
] | null | null | null | #! usr/bin/env python3
"""
:
: Utility for generating ASCII art given an input image.
:
:
"""
from src.ascii import *
from src.luminosity import *
UPPER = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
LOWER = "abcdefghijklmnopqrstuvwxyz"
DIGIT = "0123456789"
SYMBOL = "~!@#$%^&*()_+`-=[]{}|\\:;\"'<>?,./"
... | 30.208481 | 118 | 0.601474 | #! usr/bin/env python3
"""
:
: Utility for generating ASCII art given an input image.
:
:
"""
from src.ascii import *
from src.luminosity import *
UPPER = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
LOWER = "abcdefghijklmnopqrstuvwxyz"
DIGIT = "0123456789"
SYMBOL = "~!@#$%^&*()_+`-=[]{}|\\:;\"'<>?,./"
... | 0 | 0 | 0 |
8feb772e81d2e7de2f57a541d565f8376b286c08 | 11,234 | py | Python | app/admin.py | sedrof/not-phs | 8f4031e220a7690c5304cebe310e3ef14d8e7424 | [
"MIT"
] | null | null | null | app/admin.py | sedrof/not-phs | 8f4031e220a7690c5304cebe310e3ef14d8e7424 | [
"MIT"
] | null | null | null | app/admin.py | sedrof/not-phs | 8f4031e220a7690c5304cebe310e3ef14d8e7424 | [
"MIT"
] | null | null | null | from import_export.admin import ImportExportModelAdmin, ExportMixin
from django.contrib import admin
from master_data.models import *
from centrelink.models import *
from calculator.models import *
from imports.models import *
from django.utils.safestring import mark_safe
from json2html import *
from django.contrib.aut... | 32.847953 | 129 | 0.60673 | from import_export.admin import ImportExportModelAdmin, ExportMixin
from django.contrib import admin
from master_data.models import *
from centrelink.models import *
from calculator.models import *
from imports.models import *
from django.utils.safestring import mark_safe
from json2html import *
from django.contrib.aut... | 5,757 | 3,877 | 387 |
2ed8a4a9bb1c53941ec398bf527dee4dcaca6772 | 686 | py | Python | skyportal/handlers/api/internal/instrument_observation_params.py | jialin-wu-02/skyportal | 29d606ad8567b2230fb0553b18dd3cb9d3ab2d84 | [
"BSD-3-Clause"
] | null | null | null | skyportal/handlers/api/internal/instrument_observation_params.py | jialin-wu-02/skyportal | 29d606ad8567b2230fb0553b18dd3cb9d3ab2d84 | [
"BSD-3-Clause"
] | 156 | 2019-10-17T19:35:22.000Z | 2021-08-01T13:23:47.000Z | skyportal/handlers/api/internal/instrument_observation_params.py | jialin-wu-02/skyportal | 29d606ad8567b2230fb0553b18dd3cb9d3ab2d84 | [
"BSD-3-Clause"
] | null | null | null | import json
from baselayer.app.access import auth_or_token
from ...base import BaseHandler
| 38.111111 | 89 | 0.677843 | import json
from baselayer.app.access import auth_or_token
from ...base import BaseHandler
class InstrumentObservationParamsHandler(BaseHandler):
@auth_or_token
def get(self):
try:
with open("instrument_observation_params.json") as f:
instrument_data = json.load(f)
... | 493 | 78 | 23 |
951b82e5411a16957eaeb5663362a43cd0c01672 | 1,555 | py | Python | src/data/parse.py | samatix/ml-asset-managers | 27c9c0b3f67fd0350e80c5fb2729e64a13dccbb8 | [
"Apache-2.0"
] | 2 | 2022-01-01T11:06:22.000Z | 2022-02-19T03:19:18.000Z | src/data/parse.py | samatix/ml-asset-managers | 27c9c0b3f67fd0350e80c5fb2729e64a13dccbb8 | [
"Apache-2.0"
] | null | null | null | src/data/parse.py | samatix/ml-asset-managers | 27c9c0b3f67fd0350e80c5fb2729e64a13dccbb8 | [
"Apache-2.0"
] | 2 | 2020-08-15T05:38:49.000Z | 2022-03-05T07:31:11.000Z | # Copyright 2020 Ayoub ENNASSIRI
#
# 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 writi... | 31.1 | 74 | 0.579421 | # Copyright 2020 Ayoub ENNASSIRI
#
# 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 writi... | 697 | 0 | 54 |
059cf7be37e442771a2a7e9542192e55afa38fe8 | 675 | py | Python | pytup2019/bowler_queries/remove_debugger.py | lensvol/pytup2019 | 9fe2413a7fcb5e4a4631c42400daeebc2176fce1 | [
"MIT"
] | 1 | 2020-03-14T15:16:55.000Z | 2020-03-14T15:16:55.000Z | pytup2019/bowler_queries/remove_debugger.py | lensvol/pytup2019 | 9fe2413a7fcb5e4a4631c42400daeebc2176fce1 | [
"MIT"
] | null | null | null | pytup2019/bowler_queries/remove_debugger.py | lensvol/pytup2019 | 9fe2413a7fcb5e4a4631c42400daeebc2176fce1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
from bowler import Query, Filename, Capture, LN
PATTERN = """
power < "ipdb" trailer < '.' 'set_trace' > trailer < '(' ')' > > |
power < "breakpoint" trailer < "(" ")" > >
"""
| 22.5 | 87 | 0.62963 | #!/usr/bin/env python
import sys
from bowler import Query, Filename, Capture, LN
PATTERN = """
power < "ipdb" trailer < '.' 'set_trace' > trailer < '(' ')' > > |
power < "breakpoint" trailer < "(" ")" > >
"""
def remove_debugger_statements(node: LN, capture: Capture, filename: Filename):
parent_index... | 405 | 0 | 46 |
d036b24263c3c6126474bf42a609edea5fe3d39d | 1,679 | py | Python | Web/testyummly.py | magmastonealex/InTheFridge | 95b2e7127f259bd57afceb5759914621c6ab3e5b | [
"Apache-2.0"
] | 1 | 2015-04-20T01:25:25.000Z | 2015-04-20T01:25:25.000Z | Web/testyummly.py | magmapus/InTheFridge | 95b2e7127f259bd57afceb5759914621c6ab3e5b | [
"Apache-2.0"
] | null | null | null | Web/testyummly.py | magmapus/InTheFridge | 95b2e7127f259bd57afceb5759914621c6ab3e5b | [
"Apache-2.0"
] | null | null | null | import requests
import urllib
import json
if __name__ == "__main__":
y=Yummly()
y.setup('d579507d','736c339e12b7a287c72c2de82313657e')
ing=["fruit","milk"]
print y.getAll(ing,"course^course-Beverages")
y.getCourses()
#todo | 30.527273 | 152 | 0.645622 | import requests
import urllib
import json
class Yummly:
s=requests.Session()
base="http://api.yummly.com/v1/api/recipes"
def setup(self,appid,appkey):
self.s.headers.update({'X-Yummly-App-ID':appid,'X-Yummly-App-Key':appkey})
def qsearch(self,ing,course):
pms=urllib.quote("allowedCourse[]")+"="+urllib.quote(cou... | 1,255 | 174 | 22 |
b9544fa75fdfdd8216e4bbd3c9533a4f56740534 | 1,182 | py | Python | data_storing/assets/tables/moving_average.py | marcellogoccia/deep-value-investing | 4d45cc92c157246485b638d2052596a76975ec8a | [
"MIT"
] | null | null | null | data_storing/assets/tables/moving_average.py | marcellogoccia/deep-value-investing | 4d45cc92c157246485b638d2052596a76975ec8a | [
"MIT"
] | null | null | null | data_storing/assets/tables/moving_average.py | marcellogoccia/deep-value-investing | 4d45cc92c157246485b638d2052596a76975ec8a | [
"MIT"
] | null | null | null |
from utilities.config import database
from utilities.common_methods import getDebugInfo
from utilities import log
from sqlalchemy import Column, ForeignKey
from sqlalchemy.types import Integer, Float, Date, String
from sqlalchemy.orm import relationship
from data_storing.assets.base import Base
table_name = database... | 35.818182 | 103 | 0.725888 |
from utilities.config import database
from utilities.common_methods import getDebugInfo
from utilities import log
from sqlalchemy import Column, ForeignKey
from sqlalchemy.types import Integer, Float, Date, String
from sqlalchemy.orm import relationship
from data_storing.assets.base import Base
table_name = database... | 101 | 710 | 23 |
d913e76a3b390e2b515230b0eab52acb3113fad6 | 387 | py | Python | tests/unittests/test_scaled_f_score.py | sharockys/listentweet | afd376f527488fa0809a80173dcedd9847f85e19 | [
"MIT"
] | null | null | null | tests/unittests/test_scaled_f_score.py | sharockys/listentweet | afd376f527488fa0809a80173dcedd9847f85e19 | [
"MIT"
] | 16 | 2021-04-28T07:54:55.000Z | 2022-03-29T11:15:05.000Z | tests/unittests/test_scaled_f_score.py | sharockys/listentweet | afd376f527488fa0809a80173dcedd9847f85e19 | [
"MIT"
] | null | null | null | import nltk
| 29.769231 | 74 | 0.749354 | import nltk
def test_ScaledFScore():
# primitive test only.
from listentweet.keyword_extraction.scaled_f_score import ScaledFScore
nltk.download("gutenberg")
emma = nltk.corpus.gutenberg.open("austen-emma.txt").readlines()
sfs = ScaledFScore(emma)
characteristic_words = sfs.get_f1_score(keywo... | 351 | 0 | 23 |
a96eca71d5759d02d2e44335fcb14f0c2dff7682 | 478 | py | Python | src/exercise_one/scripts/data_processing.py | Ali-Elganzory/ARL-ROS | 403c05d1332c3814ec7039b5ef733f708d845f8b | [
"MIT"
] | null | null | null | src/exercise_one/scripts/data_processing.py | Ali-Elganzory/ARL-ROS | 403c05d1332c3814ec7039b5ef733f708d845f8b | [
"MIT"
] | null | null | null | src/exercise_one/scripts/data_processing.py | Ali-Elganzory/ARL-ROS | 403c05d1332c3814ec7039b5ef733f708d845f8b | [
"MIT"
] | null | null | null | import rospy
from std_msgs.msg import String
if __name__ == "__main__":
data_processing()
| 22.761905 | 82 | 0.669456 | import rospy
from std_msgs.msg import String
def process_clbk(raw_data: String):
name, age, height = map(lambda x: x.split(": ")[1], raw_data.data.split(", "))
age = int(age)
height = int(height)
rospy.loginfo(f"\nname: {name}\nage: {age}\nheight: {height}")
def data_processing():
rospy.init_nod... | 333 | 0 | 46 |
2d0e162b87c63c828d5b570a15927ce895086357 | 14,969 | py | Python | src/3_model/minlp/data_plots.py | akxen/rep-gep | ed470cd60ecba110e228ce54b8c471cb9cb0256d | [
"MIT"
] | null | null | null | src/3_model/minlp/data_plots.py | akxen/rep-gep | ed470cd60ecba110e228ce54b8c471cb9cb0256d | [
"MIT"
] | null | null | null | src/3_model/minlp/data_plots.py | akxen/rep-gep | ed470cd60ecba110e228ce54b8c471cb9cb0256d | [
"MIT"
] | null | null | null | """Plot input traces to visualise data"""
import os
import sys
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
sys.path.append(os.path.join(os.path.dirname(__file__), 'utils'))
from utils.data import ModelData
def plot_coal_fuel_costs():
"""Coal... | 34.175799 | 121 | 0.636582 | """Plot input traces to visualise data"""
import os
import sys
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
sys.path.append(os.path.join(os.path.dirname(__file__), 'utils'))
from utils.data import ModelData
def plot_coal_fuel_costs():
"""Coal... | 0 | 0 | 0 |
98e8ef272f6ae099e91304a8f9b8a8b7b3ca7691 | 572 | py | Python | app/mod_whatis/views.py | crtarsorg/glasomer.rs-v2 | ac43e1ba30b80a4ba9ca67768680b6e79f1512f3 | [
"CC0-1.0"
] | null | null | null | app/mod_whatis/views.py | crtarsorg/glasomer.rs-v2 | ac43e1ba30b80a4ba9ca67768680b6e79f1512f3 | [
"CC0-1.0"
] | 54 | 2017-03-06T12:48:40.000Z | 2017-04-20T08:33:09.000Z | app/mod_whatis/views.py | crtarsorg/glasomer.rs-v2 | ac43e1ba30b80a4ba9ca67768680b6e79f1512f3 | [
"CC0-1.0"
] | null | null | null | from flask import Blueprint, render_template
from app import mongo_utils
from bson import json_util
import json
mod_whatis = Blueprint('whatis', __name__, url_prefix='/sta-je-glasomer')
@mod_whatis.route('/', methods=['GET'])
| 38.133333 | 108 | 0.758741 | from flask import Blueprint, render_template
from app import mongo_utils
from bson import json_util
import json
mod_whatis = Blueprint('whatis', __name__, url_prefix='/sta-je-glasomer')
@mod_whatis.route('/', methods=['GET'])
def index():
year = ""
project_enabled = mongo_utils.get_enabled_project()
for pr... | 323 | 0 | 22 |
5a7cf5792682d6ad3c192a5fde31f431b97168ff | 313 | py | Python | course/migrations/0047_remove_page_data_ordinal_uniqueness.py | inducer/courseflow | 0f9786e3616dbedf08365d81a731f672b97ba9f5 | [
"Unlicense"
] | 284 | 2015-01-09T12:02:28.000Z | 2022-03-27T14:30:46.000Z | course/migrations/0047_remove_page_data_ordinal_uniqueness.py | inducer/courseflow | 0f9786e3616dbedf08365d81a731f672b97ba9f5 | [
"Unlicense"
] | 799 | 2015-02-26T08:49:46.000Z | 2022-03-31T16:09:26.000Z | course/migrations/0047_remove_page_data_ordinal_uniqueness.py | inducer/courseflow | 0f9786e3616dbedf08365d81a731f672b97ba9f5 | [
"Unlicense"
] | 120 | 2015-01-30T18:00:56.000Z | 2022-03-28T06:24:43.000Z | from django.db import models, migrations
| 19.5625 | 57 | 0.613419 | from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('course', '0046_allow_null_page_data_ordinals'),
]
operations = [
migrations.AlterUniqueTogether(
name='flowpagedata',
unique_together=set(),
),
]
| 0 | 248 | 23 |
629635c2446dffba0f7e84880658f4cf63855f95 | 1,388 | py | Python | main-step-demo.py | cfalguiere/datalab-utils | cfa36030ce12efc8e4b5b7ad065ab59e763e0b78 | [
"MIT"
] | null | null | null | main-step-demo.py | cfalguiere/datalab-utils | cfa36030ce12efc8e4b5b7ad065ab59e763e0b78 | [
"MIT"
] | 6 | 2018-03-13T10:52:45.000Z | 2018-03-14T21:37:17.000Z | main-step-demo.py | cfalguiere/datalab-utils | cfa36030ce12efc8e4b5b7ad065ab59e763e0b78 | [
"MIT"
] | null | null | null | #!/usr/bin/python
#-*- coding: utf-8 -*-
"""Run Score Credit Habitat"""
from __future__ import print_function
import sys
import logging
from easydatalab.common.app import AppContext
from easydatalab.common.exceptions import ExecutionError
def main():
"""Main entry point for the script."""
cfgFile = 'easydat... | 31.545455 | 77 | 0.627522 | #!/usr/bin/python
#-*- coding: utf-8 -*-
"""Run Score Credit Habitat"""
from __future__ import print_function
import sys
import logging
from easydatalab.common.app import AppContext
from easydatalab.common.exceptions import ExecutionError
def main():
"""Main entry point for the script."""
cfgFile = 'easydat... | 0 | 0 | 0 |
2d0633efdab3a26a7e6897b19ca7b6bd561f2da7 | 697 | py | Python | src/daemons/videod.py | schnema123/pydrive | 287a9f83604470e6bd01d2a3d4f355559f8253d8 | [
"MIT"
] | null | null | null | src/daemons/videod.py | schnema123/pydrive | 287a9f83604470e6bd01d2a3d4f355559f8253d8 | [
"MIT"
] | null | null | null | src/daemons/videod.py | schnema123/pydrive | 287a9f83604470e6bd01d2a3d4f355559f8253d8 | [
"MIT"
] | null | null | null | import socket
import zmq
from shared.daemon_ports import get_port
from shared.messaging.sock import create_sub_sock
# Send from replayd -> videod
if __name__ == "__main__":
"""
context = zmq.Context()
port = get_port("replayd")
socket = create_sub_sock(context, port)
"""
videosocket = socke... | 21.78125 | 67 | 0.637016 | import socket
import zmq
from shared.daemon_ports import get_port
from shared.messaging.sock import create_sub_sock
# Send from replayd -> videod
if __name__ == "__main__":
"""
context = zmq.Context()
port = get_port("replayd")
socket = create_sub_sock(context, port)
"""
videosocket = socke... | 0 | 0 | 0 |
1dc5885e8b632bcad5a0b70c1b8d8c5702ffa110 | 1,820 | py | Python | setup.py | bocadilloproject/bocadillo-cli | f11ec438504eb2edd3c4e8f5d2992e804b3da6b0 | [
"MIT"
] | 6 | 2019-04-17T17:07:46.000Z | 2020-08-09T07:37:34.000Z | setup.py | bocadilloproject/bocadillo-cli | f11ec438504eb2edd3c4e8f5d2992e804b3da6b0 | [
"MIT"
] | 10 | 2019-04-17T21:27:46.000Z | 2019-06-17T05:45:51.000Z | setup.py | bocadilloproject/bocadillo-cli | f11ec438504eb2edd3c4e8f5d2992e804b3da6b0 | [
"MIT"
] | 1 | 2019-05-12T17:32:45.000Z | 2019-05-12T17:32:45.000Z | import os
import re
import setuptools
description = "Standard development tooling for Bocadillo"
with open("README.md", "r") as readme:
long_description = readme.read()
NAME = "bocadillo-cli"
PACKAGE = "bocadillo_cli"
GITHUB = "https://github.com/bocadilloproject/bocadillo-cli"
CHANGELOG = f"{GITHUB}/blob/master... | 33.090909 | 76 | 0.659341 | import os
import re
import setuptools
description = "Standard development tooling for Bocadillo"
with open("README.md", "r") as readme:
long_description = readme.read()
NAME = "bocadillo-cli"
PACKAGE = "bocadillo_cli"
GITHUB = "https://github.com/bocadilloproject/bocadillo-cli"
CHANGELOG = f"{GITHUB}/blob/master... | 280 | 0 | 23 |
dc155e623350a743adcb1fb509940559b7b8f2f2 | 1,396 | py | Python | 7_dynamic_programming/easy/knapsack_DP_easy.py | itsEmShoji/TCScurriculum | bd27c8c2b26032e9e6f92a50b40ec19d45301988 | [
"MIT"
] | null | null | null | 7_dynamic_programming/easy/knapsack_DP_easy.py | itsEmShoji/TCScurriculum | bd27c8c2b26032e9e6f92a50b40ec19d45301988 | [
"MIT"
] | null | null | null | 7_dynamic_programming/easy/knapsack_DP_easy.py | itsEmShoji/TCScurriculum | bd27c8c2b26032e9e6f92a50b40ec19d45301988 | [
"MIT"
] | null | null | null | # TODO: imports
# REQUIRES: num_items >= 0, capacity >= 0,
# size of item_values >= num_items,
# size of item_weights >= num_items,
# item_values are all >= 0, item_weights are all >= 0
# EFFECTS: Computes the max value that can be obtained by picking
# from a set of num_items items without exceed... | 34.04878 | 81 | 0.657593 | # TODO: imports
# REQUIRES: num_items >= 0, capacity >= 0,
# size of item_values >= num_items,
# size of item_weights >= num_items,
# item_values are all >= 0, item_weights are all >= 0
# EFFECTS: Computes the max value that can be obtained by picking
# from a set of num_items items without exceed... | 217 | 11 | 72 |
a0127677f968c02630c0e8876bdfc54172dc9051 | 4,858 | py | Python | EDMScripts/OldScripts/SimpleEDMLoop.py | gautampk/EDMSuite | e7b67336b45e679d7903d527f6d81080c6846166 | [
"MIT"
] | 6 | 2017-02-02T17:54:23.000Z | 2021-07-03T12:41:36.000Z | EDMScripts/OldScripts/SimpleEDMLoop.py | gautampk/EDMSuite | e7b67336b45e679d7903d527f6d81080c6846166 | [
"MIT"
] | null | null | null | EDMScripts/OldScripts/SimpleEDMLoop.py | gautampk/EDMSuite | e7b67336b45e679d7903d527f6d81080c6846166 | [
"MIT"
] | 11 | 2015-03-19T18:23:38.000Z | 2021-02-18T11:05:51.000Z | # Import a whole load of stuff
from System.IO import *
from System.Drawing import *
from System.Runtime.Remoting import *
from System.Threading import *
from System.Windows.Forms import *
from System.Xml.Serialization import *
from System import *
from DAQ.Environment import *
from EDMConfig import *
| 33.503448 | 109 | 0.735282 | # Import a whole load of stuff
from System.IO import *
from System.Drawing import *
from System.Runtime.Remoting import *
from System.Threading import *
from System.Windows.Forms import *
from System.Xml.Serialization import *
from System import *
from DAQ.Environment import *
from EDMConfig import *
def saveBlockCon... | 4,345 | 0 | 208 |
667fb47b49bdff6addfc9ed051899adc1ecd6337 | 1,558 | py | Python | parent/venv/message_box.py | lugidm/FusariumUNet | 853dc39848b2570a73504e1db57e3ccd26764573 | [
"Unlicense"
] | null | null | null | parent/venv/message_box.py | lugidm/FusariumUNet | 853dc39848b2570a73504e1db57e3ccd26764573 | [
"Unlicense"
] | null | null | null | parent/venv/message_box.py | lugidm/FusariumUNet | 853dc39848b2570a73504e1db57e3ccd26764573 | [
"Unlicense"
] | null | null | null | import tkinter
| 30.54902 | 109 | 0.610398 | import tkinter
class Mbox(object):
def __init__(self, root, msg):
tki = tkinter
self.top = root
self.top.attributes("-topmost", True)
self.return_value = None
frm = tki.Frame(self.top, borderwidth=4, relief='ridge')
frm.pack(fill='both', expand=True)
label ... | 1,333 | -2 | 211 |
6a698ccac6fd0c7f76e5a8a4bb85aeca85cff63e | 22,145 | py | Python | mycroft/stt/__init__.py | NeonDaniel/HolmesV | ecf839156758d98d020f6272e4727aad60278004 | [
"Apache-2.0"
] | 9 | 2021-05-06T18:04:18.000Z | 2022-02-23T21:59:49.000Z | mycroft/stt/__init__.py | NeonDaniel/HolmesV | ecf839156758d98d020f6272e4727aad60278004 | [
"Apache-2.0"
] | 5 | 2021-04-13T22:54:47.000Z | 2021-04-18T14:24:25.000Z | mycroft/stt/__init__.py | HelloChatterbox/mycroft-lib | c417807d32eff629354ffe740da14caed2a1bee5 | [
"Apache-2.0"
] | 4 | 2021-09-11T04:02:10.000Z | 2021-12-18T23:57:19.000Z | # Copyright 2017 Mycroft AI 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 writin... | 33.757622 | 79 | 0.603116 | # Copyright 2017 Mycroft AI 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 writin... | 12,249 | 730 | 1,407 |
6af4692a61fa738f40f505d58ac7cde5a59bfad9 | 1,698 | py | Python | sdk/ingestion/microsoft/bing/commerce/ingestion/models/transformation_tryout_response_py3.py | microsoft/bing-commerce-sdk-for-python | cf555ea0bb14792708617d2435dd5aab1c4cbe90 | [
"MIT"
] | 1 | 2020-05-04T09:58:07.000Z | 2020-05-04T09:58:07.000Z | sdk/ingestion/microsoft/bing/commerce/ingestion/models/transformation_tryout_response_py3.py | microsoft/bing-commerce-sdk-for-python | cf555ea0bb14792708617d2435dd5aab1c4cbe90 | [
"MIT"
] | 2 | 2020-04-21T02:32:32.000Z | 2020-04-21T19:37:54.000Z | sdk/ingestion/microsoft/bing/commerce/ingestion/models/transformation_tryout_response_py3.py | microsoft/bing-commerce-sdk-for-python | cf555ea0bb14792708617d2435dd5aab1c4cbe90 | [
"MIT"
] | 4 | 2020-07-31T10:39:22.000Z | 2021-11-10T08:14:07.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
# coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
#... | 39.488372 | 123 | 0.604829 | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
# coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
#... | 319 | 0 | 29 |
c94779c915148b6ad1bdd49ed67c0ea57c1425eb | 789 | py | Python | rucken_todo/serializers/TodoProjectSerializer.py | site15/rucken-todo-django | bf30d4ad43be22bd8383447e07b151d6dc99da72 | [
"MIT"
] | 3 | 2018-06-04T07:36:59.000Z | 2019-10-07T05:33:56.000Z | rucken_todo/serializers/TodoProjectSerializer.py | site15/rucken-todo-django-example | bf30d4ad43be22bd8383447e07b151d6dc99da72 | [
"MIT"
] | 428 | 2017-11-24T20:19:39.000Z | 2022-03-26T04:13:25.000Z | rucken_todo/serializers/TodoProjectSerializer.py | rucken/todo-django | bf30d4ad43be22bd8383447e07b151d6dc99da72 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
from dynamic_rest.serializers import (
DynamicModelSerializer,
DynamicRelationField
)
from ..models import TodoProject
from .ShortUserSerializer import ShortUserSerializer
from .ShortTodoStatusSerializer import ShortTodoStatusSerializer
| 35.863636 | 109 | 0.735108 | from __future__ import unicode_literals
from dynamic_rest.serializers import (
DynamicModelSerializer,
DynamicRelationField
)
from ..models import TodoProject
from .ShortUserSerializer import ShortUserSerializer
from .ShortTodoStatusSerializer import ShortTodoStatusSerializer
class TodoProjectSerializer(Dyn... | 0 | 478 | 23 |
fb3c596fe6612b15cdd72e0d834f7c922c8070d3 | 2,102 | py | Python | src/detection/visualisation.py | wdoppenberg/crater-detection | 471d1bc508dee873cc5d05329147dfc5314bc15d | [
"MIT"
] | 8 | 2021-06-09T15:07:16.000Z | 2021-12-22T09:39:29.000Z | src/detection/visualisation.py | wdoppenberg/crater-detection | 471d1bc508dee873cc5d05329147dfc5314bc15d | [
"MIT"
] | 3 | 2021-04-23T12:29:40.000Z | 2021-06-10T11:01:05.000Z | src/detection/visualisation.py | wdoppenberg/crater-detection | 471d1bc508dee873cc5d05329147dfc5314bc15d | [
"MIT"
] | null | null | null | from typing import Union
import cv2
import numpy as np
import torch
from matplotlib import pyplot as plt, patches
| 37.535714 | 111 | 0.572312 | from typing import Union
import cv2
import numpy as np
import torch
from matplotlib import pyplot as plt, patches
def draw_patches(
img: Union[np.ndarray, torch.Tensor],
bboxes: Union[np.ndarray, torch.Tensor],
labels: Union[np.ndarray, torch.Tensor],
scores: Union[np.ndarray, torch.T... | 1,940 | 0 | 46 |
e1e37ca4bd3f37516c74ca148f8f13300997a396 | 1,502 | py | Python | quorapy/scraper.py | djunehor/quorapy | 0496a362d7ecd0b2422288a26290a8503d562128 | [
"MIT"
] | null | null | null | quorapy/scraper.py | djunehor/quorapy | 0496a362d7ecd0b2422288a26290a8503d562128 | [
"MIT"
] | null | null | null | quorapy/scraper.py | djunehor/quorapy | 0496a362d7ecd0b2422288a26290a8503d562128 | [
"MIT"
] | null | null | null | """Module for scraping"""
from bs4 import BeautifulSoup
import dateparser
import datetime
class Scraper:
"""Scraper class"""
def get_urls(self):
"""Scrapes posts on a page"""
all_urls = []
# infinite scroll
urls = self.soup.find_all("a", class_="SQnoC3ObvgnGjWt90zD9Z _2INHSNB8... | 28.339623 | 94 | 0.561252 | """Module for scraping"""
from bs4 import BeautifulSoup
import dateparser
import datetime
class Scraper:
"""Scraper class"""
def __init__(self, html):
self.html = html
self.soup = BeautifulSoup(html, "lxml")
print(f"[Scraper] Retrieved page")
def get_urls(self):
"""Scrape... | 994 | 0 | 81 |
0d64ae13b623685600630d0fe9894fd2c441936e | 890 | py | Python | test/test_key.py | emartech/python-easy-crypto | ef09b42e43fb6649498bfb7b5ffbbf490a94d85d | [
"MIT"
] | 3 | 2019-11-03T18:26:35.000Z | 2021-03-07T02:37:52.000Z | test/test_key.py | emartech/python-easy-crypto | ef09b42e43fb6649498bfb7b5ffbbf490a94d85d | [
"MIT"
] | 4 | 2019-06-05T01:48:19.000Z | 2019-07-19T11:53:51.000Z | test/test_key.py | emartech/python-easy-crypto | ef09b42e43fb6649498bfb7b5ffbbf490a94d85d | [
"MIT"
] | 2 | 2019-07-11T08:59:03.000Z | 2022-02-17T19:41:21.000Z | import unittest
import os
from easycrypto.key import Key
| 29.666667 | 59 | 0.652809 | import unittest
import os
from easycrypto.key import Key
class KeyTest(unittest.TestCase):
def test_key_length_is_as_specified(self):
key, _ = Key.generate('pwd', 12)
self.assertEqual(len(key), 32)
def test_generate_uses_different_salt_every_time(self):
self.assertNotEqual(
... | 690 | 12 | 130 |
0320bc714098189f04667b3582a960eb0486b15d | 5,128 | py | Python | readinglistreader.py | treese/ReadingListReader | d9e56ec2225400994706ad9c2e9d4815fe4f509d | [
"MIT"
] | 62 | 2015-01-08T03:22:03.000Z | 2021-12-22T00:46:30.000Z | readinglistreader.py | treese/ReadingListReader | d9e56ec2225400994706ad9c2e9d4815fe4f509d | [
"MIT"
] | 7 | 2015-02-16T14:12:02.000Z | 2021-07-22T06:03:47.000Z | readinglistreader.py | treese/ReadingListReader | d9e56ec2225400994706ad9c2e9d4815fe4f509d | [
"MIT"
] | 16 | 2015-04-19T22:15:24.000Z | 2021-09-14T13:08:57.000Z | #!/usr/bin/env python
import os
import argparse
import datetime
from readinglistlib import ReadingListReader
# Configure CLI
fields = ['title', 'url', 'preview', 'date', 'added', 'viewed', 'uuid', 'synckey', 'syncserverid']
ap = argparse.ArgumentParser(description='This script outputs the contents of your Safari Rea... | 61.783133 | 433 | 0.719189 | #!/usr/bin/env python
import os
import argparse
import datetime
from readinglistlib import ReadingListReader
# Configure CLI
fields = ['title', 'url', 'preview', 'date', 'added', 'viewed', 'uuid', 'synckey', 'syncserverid']
ap = argparse.ArgumentParser(description='This script outputs the contents of your Safari Rea... | 356 | 0 | 46 |
85890f25969655f8b43b5f8b0ea57d7e21d01c40 | 745 | py | Python | exercicio_py/ex0004_conta_quantidade_caractere/main_v0.py | danielle8farias/Exercicios-Python-3 | f2fe9b6ca63536df1d83fd10162cfc04de36b830 | [
"MIT"
] | null | null | null | exercicio_py/ex0004_conta_quantidade_caractere/main_v0.py | danielle8farias/Exercicios-Python-3 | f2fe9b6ca63536df1d83fd10162cfc04de36b830 | [
"MIT"
] | null | null | null | exercicio_py/ex0004_conta_quantidade_caractere/main_v0.py | danielle8farias/Exercicios-Python-3 | f2fe9b6ca63536df1d83fd10162cfc04de36b830 | [
"MIT"
] | null | null | null | ########
# autora: danielle8farias@gmail.com
# repositório: https://github.com/danielle8farias
# Descrição: Usuário informa nome e sobrenome.
# O programa retorna quantas letras o nome completo possui (excluindo espaços)
# e quantas letras o primeiro nome possui.
########
nome_completo = input('Digite seu nome com... | 37.25 | 79 | 0.739597 | ########
# autora: danielle8farias@gmail.com
# repositório: https://github.com/danielle8farias
# Descrição: Usuário informa nome e sobrenome.
# O programa retorna quantas letras o nome completo possui (excluindo espaços)
# e quantas letras o primeiro nome possui.
########
nome_completo = input('Digite seu nome com... | 0 | 0 | 0 |
67ce0d92034f71c96a8e965173c68e6445d1be29 | 31 | py | Python | techrachit.py | eastmest/Termux-Megapackage | 08f610d25539cfdc5992893996aa4c89630c9a07 | [
"MIT"
] | null | null | null | techrachit.py | eastmest/Termux-Megapackage | 08f610d25539cfdc5992893996aa4c89630c9a07 | [
"MIT"
] | null | null | null | techrachit.py | eastmest/Termux-Megapackage | 08f610d25539cfdc5992893996aa4c89630c9a07 | [
"MIT"
] | null | null | null | print ("tech rachit are here")
| 15.5 | 30 | 0.709677 | print ("tech rachit are here")
| 0 | 0 | 0 |
3fa62522c102c532d31c74e82903732fc572abac | 390 | py | Python | feedback/urls.py | asb29/Redundant | ee816fd41f9217610bd11f757cf9175288723c70 | [
"MIT"
] | null | null | null | feedback/urls.py | asb29/Redundant | ee816fd41f9217610bd11f757cf9175288723c70 | [
"MIT"
] | null | null | null | feedback/urls.py | asb29/Redundant | ee816fd41f9217610bd11f757cf9175288723c70 | [
"MIT"
] | null | null | null | from django.conf.urls import url
from . import views
app_name = 'feedback'
urlpatterns = [
url(r'^article/(?P<slug>[-\w]+)/comment$',
views.comment,
name='comment'),
url(r'^reviewcomment/(?P<comment_id>[0-9]+)/$',
views.reviewcomment,
name='review-comment'),
url(r'^article... | 21.666667 | 51 | 0.561538 | from django.conf.urls import url
from . import views
app_name = 'feedback'
urlpatterns = [
url(r'^article/(?P<slug>[-\w]+)/comment$',
views.comment,
name='comment'),
url(r'^reviewcomment/(?P<comment_id>[0-9]+)/$',
views.reviewcomment,
name='review-comment'),
url(r'^article... | 0 | 0 | 0 |
2fc23c16f3cf180ba3fd5c3369c888fc32045d14 | 27,933 | py | Python | pref/webapp/views/property.py | ahampt/Pref | 6a6b44c751da4358d97c7f170237b8fc0a4bc3d0 | [
"MIT"
] | null | null | null | pref/webapp/views/property.py | ahampt/Pref | 6a6b44c751da4358d97c7f170237b8fc0a4bc3d0 | [
"MIT"
] | 7 | 2015-08-02T20:58:23.000Z | 2016-05-02T03:25:21.000Z | pref/webapp/views/property.py | ahampt/Pref | 6a6b44c751da4358d97c7f170237b8fc0a4bc3d0 | [
"MIT"
] | null | null | null | import logging, sys
from django.conf import settings
from django.core.exceptions import ObjectDoesNotExist, ValidationError
from django.core.mail import send_mail
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.http import HttpResponse, Http404
from django.shortcuts import render_to... | 67.798544 | 315 | 0.666667 | import logging, sys
from django.conf import settings
from django.core.exceptions import ObjectDoesNotExist, ValidationError
from django.core.mail import send_mail
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.http import HttpResponse, Http404
from django.shortcuts import render_to... | 26,854 | 0 | 88 |
a77e4ba1d9535c20aa67f0efe32a4d0cd4d16c2b | 6,253 | py | Python | src/motor/3rdparty/compute/CUDA/mak/build.py | motor-dev/Motor | 98cb099fe1c2d31e455ed868cc2a25eae51e79f0 | [
"BSD-3-Clause"
] | null | null | null | src/motor/3rdparty/compute/CUDA/mak/build.py | motor-dev/Motor | 98cb099fe1c2d31e455ed868cc2a25eae51e79f0 | [
"BSD-3-Clause"
] | null | null | null | src/motor/3rdparty/compute/CUDA/mak/build.py | motor-dev/Motor | 98cb099fe1c2d31e455ed868cc2a25eae51e79f0 | [
"BSD-3-Clause"
] | null | null | null | from waflib import Task
from waflib.TaskGen import feature, before_method, taskgen_method, extension
from waflib.Tools import c_preproc
try:
import cPickle as pickle
except ImportError:
import pickle
template_kernel = """
_MOTOR_PLUGIN_EXPORT void _%(kernel)s(const u32 index, const u32 total,
... | 39.828025 | 237 | 0.611866 | from waflib import Task
from waflib.TaskGen import feature, before_method, taskgen_method, extension
from waflib.Tools import c_preproc
try:
import cPickle as pickle
except ImportError:
import pickle
template_kernel = """
_MOTOR_PLUGIN_EXPORT void _%(kernel)s(const u32 index, const u32 total,
... | 4,551 | 0 | 175 |
773ebb715bc24daa595c7968a1ae63723535d201 | 1,023 | py | Python | sols/1022.py | Paul11100/LeetCode | 9896c579dff1812c0c76964db8d60603ee715e35 | [
"MIT"
] | null | null | null | sols/1022.py | Paul11100/LeetCode | 9896c579dff1812c0c76964db8d60603ee715e35 | [
"MIT"
] | null | null | null | sols/1022.py | Paul11100/LeetCode | 9896c579dff1812c0c76964db8d60603ee715e35 | [
"MIT"
] | null | null | null | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
# DFS and convert binary (Accepted), O(n) time and space
# Recursion (Top Voted), O(n) time and space
| 31.96875 | 87 | 0.540567 | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
# DFS and convert binary (Accepted), O(n) time and space
def sumRootToLeaf(self, root: Optional[TreeNode... | 652 | -6 | 74 |
82d289627c3ee9209ff2dfa6c1d190469fb034cb | 286 | py | Python | tests/__init__.py | sturmianseq/zenmake | 44f1131c1ab677d8c3c930150c63a7dde4ef7de0 | [
"BSD-3-Clause"
] | 2 | 2019-10-14T05:05:34.000Z | 2022-03-28T04:55:00.000Z | tests/__init__.py | sturmianseq/zenmake | 44f1131c1ab677d8c3c930150c63a7dde4ef7de0 | [
"BSD-3-Clause"
] | 42 | 2020-08-25T07:59:32.000Z | 2021-11-15T03:12:29.000Z | tests/__init__.py | sturmianseq/zenmake | 44f1131c1ab677d8c3c930150c63a7dde4ef7de0 | [
"BSD-3-Clause"
] | 1 | 2021-08-13T13:59:51.000Z | 2021-08-13T13:59:51.000Z |
import sys
from os import path
ZENMAKE_DIR = path.dirname(path.abspath(__file__))
ZENMAKE_DIR = path.normpath(path.join(ZENMAKE_DIR, path.pardir, 'src', 'zenmake'))
if ZENMAKE_DIR not in sys.path:
sys.path.insert(1, ZENMAKE_DIR)
# for test 'testLoadPyModule()'
something = 'qaz' | 23.833333 | 82 | 0.744755 |
import sys
from os import path
ZENMAKE_DIR = path.dirname(path.abspath(__file__))
ZENMAKE_DIR = path.normpath(path.join(ZENMAKE_DIR, path.pardir, 'src', 'zenmake'))
if ZENMAKE_DIR not in sys.path:
sys.path.insert(1, ZENMAKE_DIR)
# for test 'testLoadPyModule()'
something = 'qaz' | 0 | 0 | 0 |
0a2c7252d45b9a2d213668ef67304ff04ab1a631 | 5,680 | py | Python | Drivers/THINGSPEAK.py | bbaumg/Sensor | 95eae629a7d36099cf0786e4d3a46c826ed93099 | [
"MIT"
] | null | null | null | Drivers/THINGSPEAK.py | bbaumg/Sensor | 95eae629a7d36099cf0786e4d3a46c826ed93099 | [
"MIT"
] | null | null | null | Drivers/THINGSPEAK.py | bbaumg/Sensor | 95eae629a7d36099cf0786e4d3a46c826ed93099 | [
"MIT"
] | null | null | null | # Author: Barrett Baumgartner
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distr... | 33.609467 | 85 | 0.687324 | # Author: Barrett Baumgartner
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distr... | 883 | 3,601 | 23 |
c8aa1d30b2fb5fede83f69d67c6dcdcea0d94f4b | 83 | py | Python | build/lib/psearcher/__init__.py | iridesc/psearcher | ee64a6c2cf9d326d562ccb06ec0c9e08b5862b2e | [
"MIT"
] | 1 | 2019-12-04T15:54:50.000Z | 2019-12-04T15:54:50.000Z | psearcher/__init__.py | iridesc/psearcher | ee64a6c2cf9d326d562ccb06ec0c9e08b5862b2e | [
"MIT"
] | null | null | null | psearcher/__init__.py | iridesc/psearcher | ee64a6c2cf9d326d562ccb06ec0c9e08b5862b2e | [
"MIT"
] | null | null | null | from .BaseEngine import BaseEngine
from .Bing import Bing
from .Baidu import Baidu
| 20.75 | 34 | 0.819277 | from .BaseEngine import BaseEngine
from .Bing import Bing
from .Baidu import Baidu
| 0 | 0 | 0 |
623fad3932fdae3b4cc05b052d24851f20dc14b2 | 157 | py | Python | server/app/services/device_data/views/_reports_type/__init__.py | goodfree/ActorCloud | e8db470830ea6f6f208ad43c2e56a2e8976bc468 | [
"Apache-2.0"
] | 173 | 2019-06-10T07:14:49.000Z | 2022-03-31T08:42:36.000Z | server/app/services/device_data/views/_reports_type/__init__.py | zlyz12345/ActorCloud | 9c34b371c23464981323ef9865d9913bde1fe09c | [
"Apache-2.0"
] | 27 | 2019-06-12T08:25:29.000Z | 2022-02-26T11:37:15.000Z | server/app/services/device_data/views/_reports_type/__init__.py | zlyz12345/ActorCloud | 9c34b371c23464981323ef9865d9913bde1fe09c | [
"Apache-2.0"
] | 67 | 2019-06-10T08:40:05.000Z | 2022-03-09T03:43:56.000Z | from .aggr_events import devices_event_aggr_data
__all__ = ['REPORTS_TYPE_FUNC']
REPORTS_TYPE_FUNC = {
'devicesEventAggr': devices_event_aggr_data
}
| 15.7 | 48 | 0.789809 | from .aggr_events import devices_event_aggr_data
__all__ = ['REPORTS_TYPE_FUNC']
REPORTS_TYPE_FUNC = {
'devicesEventAggr': devices_event_aggr_data
}
| 0 | 0 | 0 |
ba536605d96d30f13a42d4df687616345dedf4d2 | 6,657 | py | Python | school/school/migrations/0001_initial.py | firemark/sample-school-django | 3b9758ba62e4a37915e69e607d2a2948f1dc0204 | [
"MIT"
] | null | null | null | school/school/migrations/0001_initial.py | firemark/sample-school-django | 3b9758ba62e4a37915e69e607d2a2948f1dc0204 | [
"MIT"
] | null | null | null | school/school/migrations/0001_initial.py | firemark/sample-school-django | 3b9758ba62e4a37915e69e607d2a2948f1dc0204 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2016-09-18 23:26
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
| 138.6875 | 4,712 | 0.700916 | # -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2016-09-18 23:26
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.Create... | 0 | 6,447 | 23 |
a3beca4cb5005e736958d53aabeebe0736bd64f0 | 108 | py | Python | run.py | TinLe/fantasticsearch | dfd43f56d70c33738f69f08fd9d613401dbc5634 | [
"Apache-2.0"
] | null | null | null | run.py | TinLe/fantasticsearch | dfd43f56d70c33738f69f08fd9d613401dbc5634 | [
"Apache-2.0"
] | null | null | null | run.py | TinLe/fantasticsearch | dfd43f56d70c33738f69f08fd9d613401dbc5634 | [
"Apache-2.0"
] | null | null | null | #!flask/bin/python
from fantasticsearch import fantasticsearch
fantasticsearch.run(debug=True, port=5001)
| 18 | 43 | 0.824074 | #!flask/bin/python
from fantasticsearch import fantasticsearch
fantasticsearch.run(debug=True, port=5001)
| 0 | 0 | 0 |
2b0a3505c24baa750d6115f2ad0f6544ab52f9c6 | 201 | py | Python | ci.py | arelemegha/python-programs | c9af116c0db45dcd13d97e80a32733df372fe2d4 | [
"CC0-1.0"
] | null | null | null | ci.py | arelemegha/python-programs | c9af116c0db45dcd13d97e80a32733df372fe2d4 | [
"CC0-1.0"
] | null | null | null | ci.py | arelemegha/python-programs | c9af116c0db45dcd13d97e80a32733df372fe2d4 | [
"CC0-1.0"
] | null | null | null | p = float(input("Enter the principle amount : "))
r = float(input("Enter the rate : "))
t = int(input("Enter the time: "))
a = p * (pow((1 + r / 100), t))
ci = a-p
print("compound interest is : ", ci)
| 28.714286 | 49 | 0.587065 | p = float(input("Enter the principle amount : "))
r = float(input("Enter the rate : "))
t = int(input("Enter the time: "))
a = p * (pow((1 + r / 100), t))
ci = a-p
print("compound interest is : ", ci)
| 0 | 0 | 0 |
ec82a1fc36f35ef6fe3a1fa212ae968fe8f68e2b | 386 | py | Python | src/browserist/browser/get/element.py | jakob-bagterp/browserist | 76bd916dd217b7da3759fd6ec3374191002dc091 | [
"Apache-2.0"
] | 2 | 2022-02-20T10:03:19.000Z | 2022-03-22T11:17:10.000Z | src/browserist/browser/get/element.py | jakob-bagterp/browserist | 76bd916dd217b7da3759fd6ec3374191002dc091 | [
"Apache-2.0"
] | null | null | null | src/browserist/browser/get/element.py | jakob-bagterp/browserist | 76bd916dd217b7da3759fd6ec3374191002dc091 | [
"Apache-2.0"
] | null | null | null | from selenium.webdriver.common.by import By
from ...constant import timeout
from ...model.type.xpath import XPath
from ..wait.for_element import wait_for_element
| 32.166667 | 86 | 0.753886 | from selenium.webdriver.common.by import By
from ...constant import timeout
from ...model.type.xpath import XPath
from ..wait.for_element import wait_for_element
def get_element(driver: object, xpath: str, timeout: int = timeout.DEFAULT) -> object:
xpath = XPath(xpath)
wait_for_element(driver, xpath, timeout... | 199 | 0 | 23 |
034de1341e667b7696b2129e6182000c170e9094 | 73 | py | Python | AnalyzeSystem/f0_test.py | keel-210/AutoSinger | c9a855570b9222befca11072f47632b4ddebe294 | [
"MIT"
] | null | null | null | AnalyzeSystem/f0_test.py | keel-210/AutoSinger | c9a855570b9222befca11072f47632b4ddebe294 | [
"MIT"
] | null | null | null | AnalyzeSystem/f0_test.py | keel-210/AutoSinger | c9a855570b9222befca11072f47632b4ddebe294 | [
"MIT"
] | null | null | null | import pyworld as pyworld
import pysptk as sptk
import pyreaper as reaper | 24.333333 | 25 | 0.849315 | import pyworld as pyworld
import pysptk as sptk
import pyreaper as reaper | 0 | 0 | 0 |
f9ed84d75a8201857334c9dfb6e24601b014935d | 1,622 | py | Python | pages/themes/DBMS-Lecture2/examples/mongo_CRUD.py | WWWCourses/PythonCourseNetIT-Slides | 78dbb5eb7695cc64042b71a1911d4ef3feddb074 | [
"MIT"
] | null | null | null | pages/themes/DBMS-Lecture2/examples/mongo_CRUD.py | WWWCourses/PythonCourseNetIT-Slides | 78dbb5eb7695cc64042b71a1911d4ef3feddb074 | [
"MIT"
] | null | null | null | pages/themes/DBMS-Lecture2/examples/mongo_CRUD.py | WWWCourses/PythonCourseNetIT-Slides | 78dbb5eb7695cc64042b71a1911d4ef3feddb074 | [
"MIT"
] | null | null | null | import pymongo
# ------------------------- Connect to MongoDB Server ------------------------ #
# connect to MongoDB server:
client = pymongo.MongoClient("mongodb://localhost:27017")
# ----------------------- Switch context to a database ----------------------- #
# get "python_course" database:
db = client.python_cou... | 36.044444 | 128 | 0.586313 | import pymongo
# ------------------------- Connect to MongoDB Server ------------------------ #
# connect to MongoDB server:
client = pymongo.MongoClient("mongodb://localhost:27017")
# ----------------------- Switch context to a database ----------------------- #
# get "python_course" database:
db = client.python_cou... | 0 | 0 | 0 |
9b780f6fac390d0cc6693e2c3cd1ca78f31f2eb6 | 348 | py | Python | opensenate/tests/parliamentarians_test.py | g0ulartleo/opendata-senado | 091d060d55d49f844d192baa1c0aef1aa039f1c0 | [
"MIT"
] | null | null | null | opensenate/tests/parliamentarians_test.py | g0ulartleo/opendata-senado | 091d060d55d49f844d192baa1c0aef1aa039f1c0 | [
"MIT"
] | null | null | null | opensenate/tests/parliamentarians_test.py | g0ulartleo/opendata-senado | 091d060d55d49f844d192baa1c0aef1aa039f1c0 | [
"MIT"
] | null | null | null | from unittest import TestCase
from ..parliamentarians import SenatorClient
| 29 | 45 | 0.695402 | from unittest import TestCase
from ..parliamentarians import SenatorClient
class TestParliamentarians(TestCase):
def test_get_senator(self):
senator_client = SenatorClient()
senators = senator_client.get()
self.assertIsInstance(senators, list)
if len(senators) <= 0:
rai... | 207 | 16 | 49 |
d06ea409af79d80d23b209f9aa5dc10f5c6cf8f0 | 733 | py | Python | molecule/blockbook/tests/test_chain.py | trustwallet/ansible-collection-blockchain | 4ea4ae041dc4625ba914925cccafebefd99c672f | [
"MIT"
] | 1 | 2022-03-24T21:27:27.000Z | 2022-03-24T21:27:27.000Z | molecule/blockbook/tests/test_chain.py | trustwallet/ansible-collection-blockchain | 4ea4ae041dc4625ba914925cccafebefd99c672f | [
"MIT"
] | null | null | null | molecule/blockbook/tests/test_chain.py | trustwallet/ansible-collection-blockchain | 4ea4ae041dc4625ba914925cccafebefd99c672f | [
"MIT"
] | 2 | 2022-03-19T17:34:56.000Z | 2022-03-23T19:08:55.000Z | import os
import pytest
import testinfra.utils.ansible_runner
from ansible.template import Templar
from ansible.parsing.dataloader import DataLoader
testinfra_hosts = testinfra.utils.ansible_runner.AnsibleRunner(
os.environ['MOLECULE_INVENTORY_FILE']).get_hosts('all')
@pytest.mark.chain("firo")
@pytest.mark.cha... | 27.148148 | 63 | 0.768076 | import os
import pytest
import testinfra.utils.ansible_runner
from ansible.template import Templar
from ansible.parsing.dataloader import DataLoader
testinfra_hosts = testinfra.utils.ansible_runner.AnsibleRunner(
os.environ['MOLECULE_INVENTORY_FILE']).get_hosts('all')
@pytest.mark.chain("firo")
def test_blockboo... | 308 | 0 | 66 |
a131c678638de05ea4d2a12998c4a9866393a59c | 1,008 | py | Python | networks/spm.py | kamiLight/CADepth-master | 8251f12f21393aae3261c3765218063cea1cae30 | [
"MIT"
] | 11 | 2022-01-03T14:56:40.000Z | 2022-03-01T06:37:05.000Z | networks/spm.py | kamiLight/CADepth-master | 8251f12f21393aae3261c3765218063cea1cae30 | [
"MIT"
] | 1 | 2022-03-23T01:28:56.000Z | 2022-03-24T00:46:44.000Z | networks/spm.py | kamiLight/CADepth-master | 8251f12f21393aae3261c3765218063cea1cae30 | [
"MIT"
] | 1 | 2022-01-14T08:25:50.000Z | 2022-01-14T08:25:50.000Z | import torch
import torch.nn as nn
class SPM(nn.Module):
""" Structure Perception Module """
def forward(self,x):
"""
inputs :
x : input feature maps(B X C X H X W)
returns :
out : attention value + input feature
attention: B X C ... | 32.516129 | 84 | 0.5625 | import torch
import torch.nn as nn
class SPM(nn.Module):
""" Structure Perception Module """
def __init__(self, in_dim):
super(SPM, self).__init__()
self.chanel_in = in_dim
self.softmax = nn.Softmax(dim=-1)
def forward(self,x):
"""
inputs :
x : i... | 116 | 0 | 26 |
d5ee6b368b0d4584ed1bd6908ed0752e007fd580 | 558 | py | Python | examples/serialized_declare.py | jmptbl/puka | bc6e845c8a5f4319ffc54cc71959c56a8893edaf | [
"MIT"
] | 81 | 2015-01-22T10:09:37.000Z | 2022-01-25T04:38:29.000Z | examples/serialized_declare.py | ov7a/puka | d2a1a8747b417021d6f18df7ee73d336f670f5a9 | [
"MIT"
] | 17 | 2015-05-13T01:51:53.000Z | 2021-03-05T04:01:39.000Z | examples/serialized_declare.py | ov7a/puka | d2a1a8747b417021d6f18df7ee73d336f670f5a9 | [
"MIT"
] | 25 | 2015-02-12T14:02:41.000Z | 2020-05-15T14:08:43.000Z | #!/usr/bin/env python
import sys
sys.path.append("..")
import logging
FORMAT_CONS = '%(asctime)s %(name)-12s %(levelname)8s\t%(message)s'
logging.basicConfig(level=logging.DEBUG, format=FORMAT_CONS)
import puka
client = puka.Client("amqp://localhost/")
promise = client.connect()
client.wait(promise)
for i in ra... | 19.241379 | 67 | 0.706093 | #!/usr/bin/env python
import sys
sys.path.append("..")
import logging
FORMAT_CONS = '%(asctime)s %(name)-12s %(levelname)8s\t%(message)s'
logging.basicConfig(level=logging.DEBUG, format=FORMAT_CONS)
import puka
client = puka.Client("amqp://localhost/")
promise = client.connect()
client.wait(promise)
for i in ra... | 0 | 0 | 0 |
21beef38496aa0556afe362af0fdf823475e15cb | 3,065 | py | Python | tssimul.py | jli05/CS229-TimeSeries-LSTM | 366b87d81bbdfecd74c97ffb5387622c0d60d43d | [
"Apache-2.0"
] | null | null | null | tssimul.py | jli05/CS229-TimeSeries-LSTM | 366b87d81bbdfecd74c97ffb5387622c0d60d43d | [
"Apache-2.0"
] | null | null | null | tssimul.py | jli05/CS229-TimeSeries-LSTM | 366b87d81bbdfecd74c97ffb5387622c0d60d43d | [
"Apache-2.0"
] | null | null | null | ''' Simulate ARIMA(p, 0, q) model '''
import argparse
import numpy as np
from scipy import stats
def simulate_eps(sigma, size, dist='normal', df=None):
''' Simulate innovation '''
n_samples, length_sample = size
if dist.startswith('n'):
eps = np.random.standard_normal(size) * sigma
elif dist.... | 32.606383 | 78 | 0.604894 | ''' Simulate ARIMA(p, 0, q) model '''
import argparse
import numpy as np
from scipy import stats
def simulate_eps(sigma, size, dist='normal', df=None):
''' Simulate innovation '''
n_samples, length_sample = size
if dist.startswith('n'):
eps = np.random.standard_normal(size) * sigma
elif dist.... | 0 | 0 | 0 |
c150f8cf6799b8c70596657c3001737e829dd448 | 24,931 | py | Python | dm_alchemy/types/unity_python_conversion.py | locross93/dm_alchemy | 35449de51d56c427959ae6a3be13d6c6ab738be5 | [
"Apache-2.0"
] | 182 | 2021-02-08T15:25:06.000Z | 2022-03-31T00:46:23.000Z | dm_alchemy/types/unity_python_conversion.py | locross93/dm_alchemy | 35449de51d56c427959ae6a3be13d6c6ab738be5 | [
"Apache-2.0"
] | 6 | 2021-02-12T10:42:51.000Z | 2022-03-14T23:59:45.000Z | dm_alchemy/types/unity_python_conversion.py | locross93/dm_alchemy | 35449de51d56c427959ae6a3be13d6c6ab738be5 | [
"Apache-2.0"
] | 18 | 2021-02-08T20:37:22.000Z | 2022-03-15T20:54:14.000Z | # Lint as python3
# Copyright 2020 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | 43.661996 | 80 | 0.740083 | # Lint as python3
# Copyright 2020 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | 3,794 | 0 | 377 |
3e437eb10c5579c54d13b48fb00dc5e65c50fb7b | 8,319 | py | Python | fastatomography/tomo/backends/astra_cpu.py | PhilippPelz/fasta-tomography | a75f0559c5912249d7c6e330b061ecad744556bf | [
"MIT"
] | 1 | 2021-06-07T14:08:26.000Z | 2021-06-07T14:08:26.000Z | fastatomography/tomo/backends/astra_cpu.py | PhilippPelz/fasta-tomography | a75f0559c5912249d7c6e330b061ecad744556bf | [
"MIT"
] | null | null | null | fastatomography/tomo/backends/astra_cpu.py | PhilippPelz/fasta-tomography | a75f0559c5912249d7c6e330b061ecad744556bf | [
"MIT"
] | null | null | null | # Copyright 2014-2017 The ODL contributors
#
# This file is part of ODL.
#
# This Source Code Form is subject to the terms of the Mozilla Public License,
# v. 2.0. If a copy of the MPL was not distributed with this file, You can
# obtain one at https://mozilla.org/MPL/2.0/.
"""Backend for ASTRA using CPU."""
from __f... | 38.513889 | 78 | 0.63361 | # Copyright 2014-2017 The ODL contributors
#
# This file is part of ODL.
#
# This Source Code Form is subject to the terms of the Mozilla Public License,
# v. 2.0. If a copy of the MPL was not distributed with this file, You can
# obtain one at https://mozilla.org/MPL/2.0/.
"""Backend for ASTRA using CPU."""
from __f... | 0 | 0 | 0 |
2032cd849767a64618fdc7306202ed98d257d8f4 | 1,960 | py | Python | frappe/query_builder/terms.py | Don-Leopardo/frappe | 39097b05a7a9904776a435ee2c3d7a579d429389 | [
"MIT"
] | 3,755 | 2015-01-06T07:47:43.000Z | 2022-03-31T20:54:23.000Z | frappe/query_builder/terms.py | Don-Leopardo/frappe | 39097b05a7a9904776a435ee2c3d7a579d429389 | [
"MIT"
] | 7,369 | 2015-01-01T19:59:41.000Z | 2022-03-31T23:02:05.000Z | frappe/query_builder/terms.py | Don-Leopardo/frappe | 39097b05a7a9904776a435ee2c3d7a579d429389 | [
"MIT"
] | 2,685 | 2015-01-07T17:51:03.000Z | 2022-03-31T23:16:24.000Z | from typing import Any, Dict, Optional
from pypika.terms import Function, ValueWrapper
from pypika.utils import format_alias_sql
| 39.2 | 138 | 0.764286 | from typing import Any, Dict, Optional
from pypika.terms import Function, ValueWrapper
from pypika.utils import format_alias_sql
class NamedParameterWrapper():
def __init__(self, parameters: Dict[str, Any]):
self.parameters = parameters
def update_parameters(self, param_key: Any, param_value: Any, **kwargs):
... | 1,590 | 51 | 186 |
2437b1fc5a17eb5303585ed2331bad10c365b40a | 59 | py | Python | src/qsiprep_analyses/utils/__init__.py | GalBenZvi/qsiprep_analyses | 51512cffca218210f6b85e5eadd593b382963bbd | [
"Apache-2.0"
] | null | null | null | src/qsiprep_analyses/utils/__init__.py | GalBenZvi/qsiprep_analyses | 51512cffca218210f6b85e5eadd593b382963bbd | [
"Apache-2.0"
] | 6 | 2022-03-04T15:28:20.000Z | 2022-03-30T09:37:12.000Z | src/qsiprep_analyses/utils/__init__.py | GalBenZvi/qsiprep_analyses | 51512cffca218210f6b85e5eadd593b382963bbd | [
"Apache-2.0"
] | 2 | 2022-03-13T11:07:48.000Z | 2022-03-13T11:50:40.000Z | """
Utilities for the :mod:`qsiprep_analyses` package.
"""
| 14.75 | 50 | 0.694915 | """
Utilities for the :mod:`qsiprep_analyses` package.
"""
| 0 | 0 | 0 |
5bca9217161ce91c534256d2d0103754755ea4e6 | 2,240 | py | Python | My_Account/migrations/0001_initial.py | CHESyrian/Syrians | 8376e9bed6e3a03f536d8aacd523d630f6bc4345 | [
"MIT"
] | null | null | null | My_Account/migrations/0001_initial.py | CHESyrian/Syrians | 8376e9bed6e3a03f536d8aacd523d630f6bc4345 | [
"MIT"
] | null | null | null | My_Account/migrations/0001_initial.py | CHESyrian/Syrians | 8376e9bed6e3a03f536d8aacd523d630f6bc4345 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.3 on 2020-04-22 21:23
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| 44.8 | 133 | 0.612946 | # Generated by Django 3.0.3 on 2020-04-22 21:23
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | 0 | 2,060 | 23 |
d00702f8ce3921e21728a7927615308f95062ef8 | 3,279 | py | Python | refresh.py | pwillworth/dfkreport | ae10226430a3a74ac3c07ae888cab14dde778db8 | [
"Apache-2.0"
] | 11 | 2022-01-18T17:36:12.000Z | 2022-03-21T21:09:17.000Z | refresh.py | pwillworth/dfkreport | ae10226430a3a74ac3c07ae888cab14dde778db8 | [
"Apache-2.0"
] | null | null | null | refresh.py | pwillworth/dfkreport | ae10226430a3a74ac3c07ae888cab14dde778db8 | [
"Apache-2.0"
] | 4 | 2022-01-18T18:37:48.000Z | 2022-01-22T02:14:48.000Z | #!/usr/bin/env python3
import nets
import db
import contracts
from web3 import Web3
import prices
import logging
import logging.handlers
import jsonpickle
# Iterate through all transactions for account and run refresh actions
# Update the gas transaction fee amount and value assuming tx is on Harmony
if __name__ ==... | 43.72 | 175 | 0.655688 | #!/usr/bin/env python3
import nets
import db
import contracts
from web3 import Web3
import prices
import logging
import logging.handlers
import jsonpickle
def main():
handler = logging.handlers.RotatingFileHandler('../refresh.log', maxBytes=33554432, backupCount=10)
logging.basicConfig(handlers=[handler], leve... | 2,871 | 0 | 67 |
d57b9bd1fceae16ab680d68d444523487314cf4c | 5,908 | py | Python | examples/research/ftt-nas/fixed_point_plugins/fixed_point_patch_new.py | Harald-R/aw_nas | 8cf0cf48f7bcfd7893e6355dcc3ccbc83fd39783 | [
"MIT"
] | 195 | 2020-08-15T17:39:23.000Z | 2022-02-28T07:48:03.000Z | examples/research/ftt-nas/fixed_point_plugins/fixed_point_patch_new.py | Harald-R/aw_nas | 8cf0cf48f7bcfd7893e6355dcc3ccbc83fd39783 | [
"MIT"
] | 22 | 2020-08-16T01:44:48.000Z | 2022-03-12T00:46:54.000Z | examples/research/ftt-nas/fixed_point_plugins/fixed_point_patch_new.py | Harald-R/aw_nas | 8cf0cf48f7bcfd7893e6355dcc3ccbc83fd39783 | [
"MIT"
] | 27 | 2020-08-16T06:34:56.000Z | 2022-03-06T18:16:52.000Z | #pylint: disable-all
"""
Script for patch SubCandidateNet/CNNGenotypeModel.forward
"""
from contextlib import contextmanager
import six
import numpy as np
import torch
from torch import nn
from nics_fix_pt.quant import quantitize
from aw_nas.weights_manager.super_net import SubCandidateNet
from aw_nas.final.cnn_model... | 48.826446 | 130 | 0.629824 | #pylint: disable-all
"""
Script for patch SubCandidateNet/CNNGenotypeModel.forward
"""
from contextlib import contextmanager
import six
import numpy as np
import torch
from torch import nn
from nics_fix_pt.quant import quantitize
from aw_nas.weights_manager.super_net import SubCandidateNet
from aw_nas.final.cnn_model... | 3,287 | 0 | 135 |
eedd7919dde8c6f614677433f04639e63a253d58 | 2,942 | py | Python | gland_classification/four_resolutions_model/model.py | onermustafaumit/MLNM | eef9a694fc616d68094c6dbf4d8fd4e45c842e2d | [
"MIT"
] | 1 | 2022-02-07T06:41:43.000Z | 2022-02-07T06:41:43.000Z | gland_classification/four_resolutions_model/model.py | onermustafaumit/MLNM | eef9a694fc616d68094c6dbf4d8fd4e45c842e2d | [
"MIT"
] | null | null | null | gland_classification/four_resolutions_model/model.py | onermustafaumit/MLNM | eef9a694fc616d68094c6dbf4d8fd4e45c842e2d | [
"MIT"
] | null | null | null | import torchvision
import torch.nn as nn
| 45.261538 | 119 | 0.71312 | import torchvision
import torch.nn as nn
class ResNet(nn.Module):
def __init__(self, pretrained=False, num_classes=2, num_intermediate_features=64):
super().__init__()
self.pretrained = pretrained
self.num_classes = num_classes
self.num_intermediate_features = num_intermedi... | 2,714 | 5 | 168 |
9dbbc46dc3ab82348e7ae0fc2b05ea58038bf2f9 | 5,019 | py | Python | py/sym/messages/authz_pb2.py | symopsio/protobufs | 5a33aa2c00116810e7e5a1d2b23f9134bb13eb10 | [
"Apache-2.0"
] | null | null | null | py/sym/messages/authz_pb2.py | symopsio/protobufs | 5a33aa2c00116810e7e5a1d2b23f9134bb13eb10 | [
"Apache-2.0"
] | null | null | null | py/sym/messages/authz_pb2.py | symopsio/protobufs | 5a33aa2c00116810e7e5a1d2b23f9134bb13eb10 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: sym/messages/authz.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from goo... | 36.904412 | 397 | 0.75533 | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: sym/messages/authz.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from goo... | 0 | 0 | 0 |
65515bf65bebc383c9d94596460baa49da4a8f9c | 2,506 | py | Python | parser.py | winterYANGWT/STEFANN_PyTorch | bcee0ddbc286b4c83de0b2ea243091fb9c14fb90 | [
"Apache-2.0"
] | 1 | 2021-07-11T04:47:18.000Z | 2021-07-11T04:47:18.000Z | parser.py | mathemusician/STEFANN_PyTorch | 82941bc859af424babcf1f23a3d973764226263b | [
"Apache-2.0"
] | 1 | 2021-08-11T16:37:02.000Z | 2021-08-11T16:37:02.000Z | parser.py | mathemusician/STEFANN_PyTorch | 82941bc859af424babcf1f23a3d973764226263b | [
"Apache-2.0"
] | 1 | 2021-07-10T04:26:33.000Z | 2021-07-10T04:26:33.000Z | import os
import os.path as path
import itertools
import pandas as pd
import glob
import config
import random
FANNET_IMG_DIR='/mnt/Data/GoogleFontsSTEFANN/fannet'
COLORNET_IMG_DIR='/mnt/Data/GoogleFontsSTEFANN/colornet'
if __name__=='__main__':
process_fannet(path.join(FANNET_IMG_DIR,'train'),
... | 31.721519 | 72 | 0.622107 | import os
import os.path as path
import itertools
import pandas as pd
import glob
import config
import random
FANNET_IMG_DIR='/mnt/Data/GoogleFontsSTEFANN/fannet'
COLORNET_IMG_DIR='/mnt/Data/GoogleFontsSTEFANN/colornet'
def process_fannet(img_dir,save_path):
perms=itertools.product(os.listdir(img_dir),
... | 1,762 | 0 | 46 |
7b8242216757295d93bacc284fc1accdd444067f | 1,084 | py | Python | js_code.py | luoshenshen/LibrarySeats | c9fbd4fb7c26d380ee17b765cb4b83b1f3bbb78c | [
"MIT"
] | 12 | 2021-06-03T03:26:45.000Z | 2022-03-06T09:45:57.000Z | js_code.py | luoshenshen/LibrarySeats | c9fbd4fb7c26d380ee17b765cb4b83b1f3bbb78c | [
"MIT"
] | 5 | 2021-11-06T07:35:00.000Z | 2022-03-13T06:02:58.000Z | js_code.py | luoshenshen/LibrarySeats | c9fbd4fb7c26d380ee17b765cb4b83b1f3bbb78c | [
"MIT"
] | 4 | 2021-06-07T09:46:31.000Z | 2022-03-09T14:20:34.000Z | '''
@ project: LibrarySeats
@ file: test
@ user: 罗申申
@ email: luoshenshen@buaa.edu.cn
@ tool: PyCharm
@ time: 2021/5/24 14:27
'''
import re
import function
import execjs
import browser_tools
def verify_code_get(jsname,cookie,time):
'''代码不麻烦，主要是分析js花了些时间'''
url = "https://static.wechat.laixuanzuo.com/template/... | 23.565217 | 95 | 0.654059 | '''
@ project: LibrarySeats
@ file: test
@ user: 罗申申
@ email: luoshenshen@buaa.edu.cn
@ tool: PyCharm
@ time: 2021/5/24 14:27
'''
import re
import function
import execjs
import browser_tools
def obtain_js(html):
js = '<script src="(.*?)"'
href = re.compile(js, re.S).findall(html)
return href
def verify_c... | 195 | 0 | 46 |
9d5a188e29aa85bb09a92509714e910b4fa52596 | 1,678 | py | Python | en16931/tests/test_invoice_line.py | invinet/python-en16931 | f6671f86e8d578c3c82a48134426f89ec13b160c | [
"Apache-2.0"
] | 9 | 2018-07-09T10:34:27.000Z | 2021-10-13T20:11:04.000Z | en16931/tests/test_invoice_line.py | invinet/python-en16931 | f6671f86e8d578c3c82a48134426f89ec13b160c | [
"Apache-2.0"
] | null | null | null | en16931/tests/test_invoice_line.py | invinet/python-en16931 | f6671f86e8d578c3c82a48134426f89ec13b160c | [
"Apache-2.0"
] | 1 | 2022-02-07T15:30:53.000Z | 2022-02-07T15:30:53.000Z | import pytest
from en16931.invoice_line import InvoiceLine
| 28.931034 | 62 | 0.585221 | import pytest
from en16931.invoice_line import InvoiceLine
class TestInvoiceLine:
def test_initialization(self):
il = InvoiceLine(quantity=11, unit_code="EA", price=2,
item_name='test', currency="EUR",
tax_percent=0.21, tax_category="S")
assert i... | 1,350 | 1 | 266 |
9faa68d2b05b4a33cebe4f7dd86018471e582c98 | 3,336 | py | Python | var_caller_mt.py | shimbalama/friday_sessions_QIMR | 5f5c65fdea98b22df845b09e3a72dbc7989e8ed1 | [
"MIT"
] | null | null | null | var_caller_mt.py | shimbalama/friday_sessions_QIMR | 5f5c65fdea98b22df845b09e3a72dbc7989e8ed1 | [
"MIT"
] | null | null | null | var_caller_mt.py | shimbalama/friday_sessions_QIMR | 5f5c65fdea98b22df845b09e3a72dbc7989e8ed1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from multiprocessing import Pool, TimeoutError
from glob import glob
import gzip
import pysam
from Bio import SeqIO
from collections import Counter, defaultdict
import scipy.stats as stats
import operator
import pandas as pd
import argparse
import cProfile
import sys
def chunk_ref(args, chroms... | 25.082707 | 121 | 0.555456 | #!/usr/bin/env python3
from multiprocessing import Pool, TimeoutError
from glob import glob
import gzip
import pysam
from Bio import SeqIO
from collections import Counter, defaultdict
import scipy.stats as stats
import operator
import pandas as pd
import argparse
import cProfile
import sys
def main ():
parser = a... | 2,328 | 0 | 46 |
dade49d1b215000562cd2d23b09812f5a692264c | 713 | py | Python | BOJ_Solved/BOJ-16928.py | CodingLeeSeungHoon/Python_Algorithm_TeamNote | 1e92986999b45aa9951e12e67b23062e410e9b36 | [
"MIT"
] | 7 | 2021-11-19T14:50:59.000Z | 2022-02-25T20:00:20.000Z | BOJ_Solved/BOJ-16928.py | CodingLeeSeungHoon/Python_Algorithm_TeamNote | 1e92986999b45aa9951e12e67b23062e410e9b36 | [
"MIT"
] | null | null | null | BOJ_Solved/BOJ-16928.py | CodingLeeSeungHoon/Python_Algorithm_TeamNote | 1e92986999b45aa9951e12e67b23062e410e9b36 | [
"MIT"
] | null | null | null | # coding=utf-8
"""
백준 16928번 : 뱀과 사다리 게임
"""
import sys
from collections import deque
input = sys.stdin.readline
N, M = map(int, input().split())
graph = [*range(101)]
visited = [-1] * 101
for _ in range(N + M):
x, y = map(int, input().split())
graph[x] = y
bfs(graph, 1, visited)
print(visited[-1])
| 19.27027 | 63 | 0.504909 | # coding=utf-8
"""
백준 16928번 : 뱀과 사다리 게임
"""
import sys
from collections import deque
input = sys.stdin.readline
def bfs(graph, start, visited):
queue = deque([start])
visited[start] = 0
while queue:
v = queue.popleft()
for i in range(1, 7):
y = v + i
if y > 100... | 376 | 0 | 23 |
b156fbcb3777c67bbda34c74c49e66b3b3d17cc7 | 4,001 | py | Python | data/birthmark_xml_create.py | mitubaEX/MITUBASearcher | 7d6eb92bcc608a27519d8e6e30b033dc784694f3 | [
"Apache-2.0"
] | null | null | null | data/birthmark_xml_create.py | mitubaEX/MITUBASearcher | 7d6eb92bcc608a27519d8e6e30b033dc784694f3 | [
"Apache-2.0"
] | 5 | 2017-09-12T15:41:33.000Z | 2017-10-23T14:21:23.000Z | data/birthmark_xml_create.py | mitubaEX/MITUBASearcher | 7d6eb92bcc608a27519d8e6e30b033dc784694f3 | [
"Apache-2.0"
] | null | null | null | import glob
import os
import sys
import csv
csv.field_size_limit(1000000000)
# -*- coding: utf-8 -*-
import codecs
files = []
cvfv = codecs.open("./birth_cvfv.xml","w",'utf-8')
fmc = codecs.open("./birth_fmc.xml","w",'utf-8')
fuc = codecs.open("./birth_fuc.xml","w",'utf-8')
_2gram = codecs.open("./birth_2gram.xml","w"... | 43.021505 | 198 | 0.48038 | import glob
import os
import sys
import csv
csv.field_size_limit(1000000000)
# -*- coding: utf-8 -*-
import codecs
files = []
cvfv = codecs.open("./birth_cvfv.xml","w",'utf-8')
fmc = codecs.open("./birth_fmc.xml","w",'utf-8')
fuc = codecs.open("./birth_fuc.xml","w",'utf-8')
_2gram = codecs.open("./birth_2gram.xml","w"... | 1,249 | 0 | 69 |
95964d33b38741eebab8192e62f19d04248c6675 | 1,170 | py | Python | setup.py | AmidBidee/Robot-Arm | cfacfc779b2f025846e9748167bcfb15ce207923 | [
"MIT"
] | 1 | 2022-03-27T20:09:10.000Z | 2022-03-27T20:09:10.000Z | setup.py | AmidBidee/Robot-Arm | cfacfc779b2f025846e9748167bcfb15ce207923 | [
"MIT"
] | 4 | 2022-03-25T03:45:10.000Z | 2022-03-29T14:31:16.000Z | setup.py | AmidBidee/RobotArm | cfacfc779b2f025846e9748167bcfb15ce207923 | [
"MIT"
] | null | null | null | import setuptools
from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name="robotarm", # Replace with your username
version="0.0.4",
author="<Aaron Ahmid Balogun>",
author_email="<amidbidee@gmail.com>",
description="<Template ... | 21.272727 | 106 | 0.620513 | import setuptools
from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name="robotarm", # Replace with your username
version="0.0.4",
author="<Aaron Ahmid Balogun>",
author_email="<amidbidee@gmail.com>",
description="<Template ... | 0 | 0 | 0 |
51cb20a476045ed9a30f634816c937e0032634fa | 5,628 | py | Python | samples/snippets/publisher_test.py | deckikwok/python-pubsub | 7e02bd8bc87676b0f38c90bc218dd4714f09f3a4 | [
"Apache-2.0"
] | null | null | null | samples/snippets/publisher_test.py | deckikwok/python-pubsub | 7e02bd8bc87676b0f38c90bc218dd4714f09f3a4 | [
"Apache-2.0"
] | null | null | null | samples/snippets/publisher_test.py | deckikwok/python-pubsub | 7e02bd8bc87676b0f38c90bc218dd4714f09f3a4 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 29.621053 | 88 | 0.744314 | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 4,100 | 0 | 387 |
7b2a91c84bc4cb09ca9e0267db05e2ac0ace93e9 | 3,354 | py | Python | newsapp/models.py | Esther-Anyona/four-one-one | 6a5e019b35710941a669c1b49e993b683c99d615 | [
"MIT"
] | null | null | null | newsapp/models.py | Esther-Anyona/four-one-one | 6a5e019b35710941a669c1b49e993b683c99d615 | [
"MIT"
] | null | null | null | newsapp/models.py | Esther-Anyona/four-one-one | 6a5e019b35710941a669c1b49e993b683c99d615 | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import User
from cloudinary.models import CloudinaryField
# CloudinaryImage("turtles.jpg").image(width=70, height=53, crop="scale")
"""
Models
"""
| 34.9375 | 173 | 0.720036 | from django.db import models
from django.contrib.auth.models import User
from cloudinary.models import CloudinaryField
# CloudinaryImage("turtles.jpg").image(width=70, height=53, crop="scale")
"""
Models
"""
class Neighbourhood(models.Model):
neighbourhood_name = models.CharField(max_length=100)
location = mo... | 701 | 2,349 | 91 |
38bbd6e96323d1dc65e0352cdedb7d3a7f70fe9a | 321 | py | Python | setup.py | fiefdx/pytea | 466f2e15506fc66e402437aa2cfeb8b2c9f19c64 | [
"MIT"
] | 1 | 2016-09-04T10:24:27.000Z | 2016-09-04T10:24:27.000Z | setup.py | fiefdx/pytea | 466f2e15506fc66e402437aa2cfeb8b2c9f19c64 | [
"MIT"
] | null | null | null | setup.py | fiefdx/pytea | 466f2e15506fc66e402437aa2cfeb8b2c9f19c64 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Created on 2014-07-16
@summary: Trellis TEA use pure python
@author: fiefdx
'''
from distutils.core import setup
setup(name='pytea',
version='1.0.2',
author = 'fiefdx',
author_email = 'fiefdx@gmail.com',
package_dir={'pytea': 'src'},
packages=['pytea'],
... | 20.0625 | 40 | 0.595016 | # -*- coding: utf-8 -*-
'''
Created on 2014-07-16
@summary: Trellis TEA use pure python
@author: fiefdx
'''
from distutils.core import setup
setup(name='pytea',
version='1.0.2',
author = 'fiefdx',
author_email = 'fiefdx@gmail.com',
package_dir={'pytea': 'src'},
packages=['pytea'],
... | 0 | 0 | 0 |