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1c0eb2791ccb1362edf9ef38716c7af67fe140d2 | 31,085 | py | Python | src/config/api-server/vnc_cfg_api_server/tests/test_event_dispatcher.py | atsgen/tf-controller | 9321889cdd3d7108980cc88937b2e82956502cc5 | [
"Apache-2.0"
] | 37 | 2020-09-21T10:42:26.000Z | 2022-01-09T10:16:40.000Z | src/config/api-server/vnc_cfg_api_server/tests/test_event_dispatcher.py | atsgen/tf-controller | 9321889cdd3d7108980cc88937b2e82956502cc5 | [
"Apache-2.0"
] | null | null | null | src/config/api-server/vnc_cfg_api_server/tests/test_event_dispatcher.py | atsgen/tf-controller | 9321889cdd3d7108980cc88937b2e82956502cc5 | [
"Apache-2.0"
] | 21 | 2020-08-25T12:48:42.000Z | 2022-03-22T04:32:18.000Z | from __future__ import absolute_import
import json
import gevent
from ..event_dispatcher import EventDispatcher
from testtools import TestCase
from flexmock import flexmock
from gevent.queue import Queue
gevent.monkey.patch_all()
class TestPack(TestCase):
def setUp(self):
super(TestPack, self).setUp()
... | 38.234932 | 103 | 0.566093 | from __future__ import absolute_import
import json
import gevent
from ..event_dispatcher import EventDispatcher
from testtools import TestCase
from flexmock import flexmock
from gevent.queue import Queue
gevent.monkey.patch_all()
class TestPack(TestCase):
def setUp(self):
super(TestPack, self).setUp()
... | true | true |
1c0eb30ba262827170e41dce538fbd6a4a8c3e56 | 3,508 | py | Python | poship/engine/components/user/handlers.py | candango/podship-engine | d8cef10da00182c034320113fe1d990f40a585bd | [
"Apache-2.0"
] | null | null | null | poship/engine/components/user/handlers.py | candango/podship-engine | d8cef10da00182c034320113fe1d990f40a585bd | [
"Apache-2.0"
] | null | null | null | poship/engine/components/user/handlers.py | candango/podship-engine | d8cef10da00182c034320113fe1d990f40a585bd | [
"Apache-2.0"
] | 2 | 2016-08-04T14:55:17.000Z | 2016-08-05T13:50:50.000Z | #!/usr/bin/env python
#
# Copyright 2015-2016 Flavio Garcia
#
# 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... | 32.183486 | 83 | 0.590935 |
import firenado.tornadoweb
from firenado.service import served_by
import logging
from jsonschema import validate
from jsonschema.exceptions import ValidationError
from tornado.escape import json_decode
from wtforms.fields import StringField, PasswordField
from wtforms.validators import DataRequired
from wtforms_torna... | true | true |
1c0eb3fab8c16cbe749be915201617d1ce263b6d | 4,441 | py | Python | process_csv.py | phillipi/AMT_Real_vs_Fake | 4f5f25cdaffc8ee8c0a3ccd186f6ff45beb0c5c9 | [
"BSD-2-Clause"
] | 34 | 2017-02-10T06:57:24.000Z | 2021-12-28T18:32:52.000Z | process_csv.py | phillipi/AMT_Real_vs_Fake | 4f5f25cdaffc8ee8c0a3ccd186f6ff45beb0c5c9 | [
"BSD-2-Clause"
] | 2 | 2017-05-14T03:49:48.000Z | 2020-07-17T08:08:48.000Z | process_csv.py | phillipi/AMT_Real_vs_Fake | 4f5f25cdaffc8ee8c0a3ccd186f6ff45beb0c5c9 | [
"BSD-2-Clause"
] | 7 | 2017-12-22T01:32:22.000Z | 2020-08-21T06:52:49.000Z |
import numpy as np
import csv
from collections import OrderedDict
import argparse
from tqdm import tqdm
from IPython import embed
def collect_csv_results(filename):
with open(filename, newline='') as csvfile:
reader = csv.DictReader(csvfile)
for rr,row in enumerate(reader):
if(rr==0):
raw_dict = row
... | 31.496454 | 132 | 0.717856 |
import numpy as np
import csv
from collections import OrderedDict
import argparse
from tqdm import tqdm
from IPython import embed
def collect_csv_results(filename):
with open(filename, newline='') as csvfile:
reader = csv.DictReader(csvfile)
for rr,row in enumerate(reader):
if(rr==0):
raw_dict = row
... | true | true |
1c0eb4b29780e79ad33aaf91ffc1a00bfe2546e9 | 4,617 | py | Python | test/integration/test_serve.py | synapticarbors/mike | 39d6373cce9b3c9097c72ee3259389b06552fb4d | [
"BSD-3-Clause"
] | null | null | null | test/integration/test_serve.py | synapticarbors/mike | 39d6373cce9b3c9097c72ee3259389b06552fb4d | [
"BSD-3-Clause"
] | null | null | null | test/integration/test_serve.py | synapticarbors/mike | 39d6373cce9b3c9097c72ee3259389b06552fb4d | [
"BSD-3-Clause"
] | null | null | null | import os
import platform
import signal
import subprocess
import time
import unittest
from .. import *
from mike import git_utils
@unittest.skipIf(platform.system() == 'Windows',
"SIGINT doesn't work on windows")
class TestList(unittest.TestCase):
def setUp(self):
self.stage = stage_dir(... | 36.070313 | 78 | 0.603639 | import os
import platform
import signal
import subprocess
import time
import unittest
from .. import *
from mike import git_utils
@unittest.skipIf(platform.system() == 'Windows',
"SIGINT doesn't work on windows")
class TestList(unittest.TestCase):
def setUp(self):
self.stage = stage_dir(... | true | true |
1c0eb5507bcc8f25a2dfff27ebb8d5f488f84c4a | 2,300 | py | Python | pinax/notifications/conf.py | pclumson1/pinax-notifications | 31a95d77cebef1cb23cad49b4715981170ffcbfa | [
"MIT"
] | 414 | 2015-03-03T05:34:57.000Z | 2022-01-23T05:03:36.000Z | pinax/notifications/conf.py | pclumson1/pinax-notifications | 31a95d77cebef1cb23cad49b4715981170ffcbfa | [
"MIT"
] | 62 | 2015-03-04T14:01:22.000Z | 2021-12-22T07:19:57.000Z | pinax/notifications/conf.py | pclumson1/pinax-notifications | 31a95d77cebef1cb23cad49b4715981170ffcbfa | [
"MIT"
] | 111 | 2015-03-02T15:04:11.000Z | 2022-02-16T15:35:00.000Z | import importlib
from django.apps import apps as django_apps
from django.conf import settings # noqa
from django.core.exceptions import ImproperlyConfigured
from appconf import AppConf
def load_model(path):
try:
return django_apps.get_model(path)
except ValueError:
raise ImproperlyConfigure... | 29.113924 | 88 | 0.643913 | import importlib
from django.apps import apps as django_apps
from django.conf import settings from django.core.exceptions import ImproperlyConfigured
from appconf import AppConf
def load_model(path):
try:
return django_apps.get_model(path)
except ValueError:
raise ImproperlyConfigured(
... | true | true |
1c0eb5797e427c3960d99ac7f6683aa88354ebc7 | 3,730 | py | Python | tests/garage/tf/samplers/test_off_policy_vectorized_sampler.py | arbenton/garage | 5c398255fbfae375370483f18216996d82590a88 | [
"MIT"
] | null | null | null | tests/garage/tf/samplers/test_off_policy_vectorized_sampler.py | arbenton/garage | 5c398255fbfae375370483f18216996d82590a88 | [
"MIT"
] | null | null | null | tests/garage/tf/samplers/test_off_policy_vectorized_sampler.py | arbenton/garage | 5c398255fbfae375370483f18216996d82590a88 | [
"MIT"
] | 1 | 2020-02-05T00:34:07.000Z | 2020-02-05T00:34:07.000Z | import gym
import numpy as np
import tensorflow as tf
from garage.envs import normalize
from garage.experiment import LocalRunner
from garage.np.exploration_strategies import OUStrategy
from garage.replay_buffer import SimpleReplayBuffer
from garage.tf.algos import DDPG
from garage.tf.envs import TfEnv
from garage.tf.... | 38.854167 | 79 | 0.621716 | import gym
import numpy as np
import tensorflow as tf
from garage.envs import normalize
from garage.experiment import LocalRunner
from garage.np.exploration_strategies import OUStrategy
from garage.replay_buffer import SimpleReplayBuffer
from garage.tf.algos import DDPG
from garage.tf.envs import TfEnv
from garage.tf.... | true | true |
1c0eb5acd322aaf0e4d89e4cf7adc4d56b49117a | 1,313 | py | Python | dashboard/tests/test_views.py | 18F/tts-bug-bounty-dashboard | a9be81ff3eaf25db3192b64b5580764db9555dec | [
"CC0-1.0"
] | 7 | 2017-07-15T13:48:00.000Z | 2021-04-16T23:55:43.000Z | dashboard/tests/test_views.py | 18F/tts-bug-bounty-dashboard | a9be81ff3eaf25db3192b64b5580764db9555dec | [
"CC0-1.0"
] | 35 | 2017-06-19T16:15:20.000Z | 2019-05-21T15:37:15.000Z | dashboard/tests/test_views.py | 18F/tts-bug-bounty-dashboard | a9be81ff3eaf25db3192b64b5580764db9555dec | [
"CC0-1.0"
] | 3 | 2017-07-14T02:37:40.000Z | 2017-07-22T18:22:43.000Z | import pytest
from django.contrib.auth.models import User
from django.utils.safestring import SafeString
from .. import views
@pytest.fixture
def some_user(db):
user = User(username='foo', email='foo@gsa.gov')
user.save()
return user
@pytest.fixture
def some_user_client(some_user, client):
client.f... | 26.26 | 69 | 0.723534 | import pytest
from django.contrib.auth.models import User
from django.utils.safestring import SafeString
from .. import views
@pytest.fixture
def some_user(db):
user = User(username='foo', email='foo@gsa.gov')
user.save()
return user
@pytest.fixture
def some_user_client(some_user, client):
client.f... | true | true |
1c0eb60b8ec2fe5e409cfddb97a5d168533c539e | 22,950 | py | Python | pandas/core/config.py | tacaswell/pandas | 81c57e20da278494dfebc2f1043f5ff361a234f3 | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause"
] | null | null | null | pandas/core/config.py | tacaswell/pandas | 81c57e20da278494dfebc2f1043f5ff361a234f3 | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause"
] | null | null | null | pandas/core/config.py | tacaswell/pandas | 81c57e20da278494dfebc2f1043f5ff361a234f3 | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause"
] | 1 | 2019-02-20T18:01:08.000Z | 2019-02-20T18:01:08.000Z | """
The config module holds package-wide configurables and provides
a uniform API for working with them.
Overview
========
This module supports the following requirements:
- options are referenced using keys in dot.notation, e.g. "x.y.option - z".
- keys are case-insensitive.
- functions should accept partial/regex k... | 27.517986 | 79 | 0.631808 |
import re
from collections import namedtuple
from contextlib import contextmanager
import warnings
from pandas.compat import map, lmap, u
import pandas.compat as compat
DeprecatedOption = namedtuple('DeprecatedOption', 'key msg rkey removal_ver')
RegisteredOption = namedtuple('RegisteredOption',
... | true | true |
1c0eb6f63947861c1f2c89a0e219fdc71c4a9c73 | 21,612 | py | Python | venv/Lib/site-packages/sklearn/decomposition/tests/test_dict_learning.py | OliviaNabbosa89/Disaster_Responses | 1e66d77c303cec685dfc2ca94f4fca4cc9400570 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/sklearn/decomposition/tests/test_dict_learning.py | OliviaNabbosa89/Disaster_Responses | 1e66d77c303cec685dfc2ca94f4fca4cc9400570 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/sklearn/decomposition/tests/test_dict_learning.py | OliviaNabbosa89/Disaster_Responses | 1e66d77c303cec685dfc2ca94f4fca4cc9400570 | [
"MIT"
] | null | null | null | import pytest
import numpy as np
from functools import partial
import itertools
from sklearn.base import clone
from sklearn.exceptions import ConvergenceWarning
from sklearn.utils import check_array
from sklearn.utils._testing import assert_array_almost_equal
from sklearn.utils._testing import assert_... | 37.520833 | 80 | 0.638997 | import pytest
import numpy as np
from functools import partial
import itertools
from sklearn.base import clone
from sklearn.exceptions import ConvergenceWarning
from sklearn.utils import check_array
from sklearn.utils._testing import assert_array_almost_equal
from sklearn.utils._testing import assert_... | true | true |
1c0eb81fb69a4f47852d6e2f5c5b37926cd00eb3 | 6,431 | py | Python | salt/states/lvs_server.py | ifraixedes/saltstack-salt | b54becb8b43cc9b7c00b2c0bc637ac534dc62896 | [
"Apache-2.0"
] | 9,425 | 2015-01-01T05:59:24.000Z | 2022-03-31T20:44:05.000Z | salt/states/lvs_server.py | ifraixedes/saltstack-salt | b54becb8b43cc9b7c00b2c0bc637ac534dc62896 | [
"Apache-2.0"
] | 33,507 | 2015-01-01T00:19:56.000Z | 2022-03-31T23:48:20.000Z | salt/states/lvs_server.py | ifraixedes/saltstack-salt | b54becb8b43cc9b7c00b2c0bc637ac534dc62896 | [
"Apache-2.0"
] | 5,810 | 2015-01-01T19:11:45.000Z | 2022-03-31T02:37:20.000Z | """
Management of LVS (Linux Virtual Server) Real Server
====================================================
"""
def __virtual__():
"""
Only load if the lvs module is available in __salt__
"""
if "lvs.get_rules" in __salt__:
return "lvs_server"
return (False, "lvs module could not be load... | 31.52451 | 134 | 0.507386 |
def __virtual__():
if "lvs.get_rules" in __salt__:
return "lvs_server"
return (False, "lvs module could not be loaded")
def present(
name,
protocol=None,
service_address=None,
server_address=None,
packet_forward_method="dr",
weight=1,
):
ret = {"name": name, "changes": {}... | true | true |
1c0eb8b3bdaa698bd1077ee6cc4e2391838ad169 | 12,168 | py | Python | plugins/modules/oci_loadbalancer_certificate.py | A7rMtWE57x/oci-ansible-collection | 80548243a085cd53fd5dddaa8135b5cb43612c66 | [
"Apache-2.0"
] | null | null | null | plugins/modules/oci_loadbalancer_certificate.py | A7rMtWE57x/oci-ansible-collection | 80548243a085cd53fd5dddaa8135b5cb43612c66 | [
"Apache-2.0"
] | null | null | null | plugins/modules/oci_loadbalancer_certificate.py | A7rMtWE57x/oci-ansible-collection | 80548243a085cd53fd5dddaa8135b5cb43612c66 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# Copyright (c) 2017, 2020 Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Apache License v2.0
# See LICENSE.TXT for d... | 38.384858 | 157 | 0.662558 |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
"metadata_version": "1.1",
"status": ["preview"],
"supported_by": "community",
}
DOCUMENTATION = """
---
module: oci_loadbalancer_certificate
short_description: Manage a Certificate resource in Or... | true | true |
1c0eb9d873bcb453322479c1bb3e53a3381e8877 | 1,375 | py | Python | util/get_percentage_plots.py | jalilm/SDN-Monitoring | 4ba8dd0f0ed5e44c0e803713d6c82ee2c815c7e4 | [
"Apache-2.0"
] | 1 | 2017-01-02T12:05:21.000Z | 2017-01-02T12:05:21.000Z | util/get_percentage_plots.py | jalilm/SDN-Monitoring | 4ba8dd0f0ed5e44c0e803713d6c82ee2c815c7e4 | [
"Apache-2.0"
] | null | null | null | util/get_percentage_plots.py | jalilm/SDN-Monitoring | 4ba8dd0f0ed5e44c0e803713d6c82ee2c815c7e4 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import glob
import os
import matplotlib.pyplot as plt
def main():
res_per_k = {}
for fn in glob.glob(os.path.expanduser('~/logs/') + '*-Topk-*'):
if os.path.isfile(fn):
# bfn = os.path.basename(fn)
# mechanism, topk, rate, directory, timestep, hh, cm = b... | 31.25 | 81 | 0.493091 |
import glob
import os
import matplotlib.pyplot as plt
def main():
res_per_k = {}
for fn in glob.glob(os.path.expanduser('~/logs/') + '*-Topk-*'):
if os.path.isfile(fn):
with open(fn, "r") as f:
f_res = f.readlines()
for l in f_res:
... | true | true |
1c0eb9e2d3892af0c55d16aed4ccb12c18ee8274 | 1,401 | py | Python | tests/test_utils.py | Cdayz/BlackSheep | 42c708c90c29299981e4bf0ed466d262f1ade0e5 | [
"MIT"
] | 482 | 2018-12-20T09:30:23.000Z | 2021-02-08T18:34:16.000Z | tests/test_utils.py | Cdayz/BlackSheep | 42c708c90c29299981e4bf0ed466d262f1ade0e5 | [
"MIT"
] | 125 | 2021-02-15T09:29:51.000Z | 2022-03-25T19:48:23.000Z | tests/test_utils.py | Cdayz/BlackSheep | 42c708c90c29299981e4bf0ed466d262f1ade0e5 | [
"MIT"
] | 27 | 2021-03-20T16:17:58.000Z | 2022-03-02T19:37:42.000Z | from typing import AnyStr, Sequence
import pytest
from blacksheep.utils import ensure_bytes, ensure_str, join_fragments
@pytest.mark.parametrize(
"fragments,expected_value",
[
[["a"], "/a"],
[["a", "b", "c", "d"], "/a/b/c/d"],
[["a", None, "b", "c", "", "d"], "/a/b/c/d"],
[[b... | 29.1875 | 78 | 0.622413 | from typing import AnyStr, Sequence
import pytest
from blacksheep.utils import ensure_bytes, ensure_str, join_fragments
@pytest.mark.parametrize(
"fragments,expected_value",
[
[["a"], "/a"],
[["a", "b", "c", "d"], "/a/b/c/d"],
[["a", None, "b", "c", "", "d"], "/a/b/c/d"],
[[b... | true | true |
1c0eba96023e8b7c7cf155dd5869f8535a8ec5eb | 26,162 | py | Python | code/trainer.py | pavanchhatpar/AttnGAN | 9a4ac53aee9890ad488f11aeb913623d2c93a6b2 | [
"MIT"
] | null | null | null | code/trainer.py | pavanchhatpar/AttnGAN | 9a4ac53aee9890ad488f11aeb913623d2c93a6b2 | [
"MIT"
] | null | null | null | code/trainer.py | pavanchhatpar/AttnGAN | 9a4ac53aee9890ad488f11aeb913623d2c93a6b2 | [
"MIT"
] | null | null | null | from __future__ import print_function
from six.moves import range
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
import torch.backends.cudnn as cudnn
from PIL import Image
from miscc.config import cfg
from miscc.utils import mkdir_p
from miscc.utils import build_su... | 46.059859 | 101 | 0.458451 | from __future__ import print_function
from six.moves import range
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
import torch.backends.cudnn as cudnn
from PIL import Image
from miscc.config import cfg
from miscc.utils import mkdir_p
from miscc.utils import build_su... | true | true |
1c0ebc3040cc78aa214390c9cd42c2f75622f205 | 574 | py | Python | March/Day13-Valid Parentheses.py | tayyrov/Daily_Coding_Challenge | 9e54a725082530dca1229dfcd973d04975374220 | [
"MIT"
] | 1 | 2022-01-01T21:54:45.000Z | 2022-01-01T21:54:45.000Z | March/Day13-Valid Parentheses.py | tayyrov/Daily_Coding_Challenge | 9e54a725082530dca1229dfcd973d04975374220 | [
"MIT"
] | null | null | null | March/Day13-Valid Parentheses.py | tayyrov/Daily_Coding_Challenge | 9e54a725082530dca1229dfcd973d04975374220 | [
"MIT"
] | null | null | null | """
Question Source:Leetcode
Level: Easy
Topic: Stack
Solver: Tayyrov
Date: 13.03.2022
"""
def isValid(s: str) -> bool:
tokens = {("(", ")"), ("{", "}"), ("[", "]")}
openn = {"(", "[", "{"}
stack = []
for char in s:
if char in openn:
stack.append(char)
els... | 20.5 | 50 | 0.419861 |
def isValid(s: str) -> bool:
tokens = {("(", ")"), ("{", "}"), ("[", "]")}
openn = {"(", "[", "{"}
stack = []
for char in s:
if char in openn:
stack.append(char)
else:
if not stack:
return False
else:
cl... | true | true |
1c0ebc7cfeca229af4ecb40d82b0236d449c2eb4 | 984 | py | Python | src/binary.py | dsanno/chainer-etl9 | e6968442b9aa159302a1b5c02fced686f72ef682 | [
"MIT"
] | 7 | 2016-09-10T07:34:13.000Z | 2018-05-13T06:00:51.000Z | src/binary.py | dsanno/chainer-etl9 | e6968442b9aa159302a1b5c02fced686f72ef682 | [
"MIT"
] | null | null | null | src/binary.py | dsanno/chainer-etl9 | e6968442b9aa159302a1b5c02fced686f72ef682 | [
"MIT"
] | 3 | 2016-05-17T03:22:18.000Z | 2018-05-13T06:00:55.000Z | from struct import unpack
def read8(str, offset=0):
return unpack('B', str[offset:offset + 1])[0]
def read16be(str, offset=0):
return unpack('>H', str[offset:offset + 2])[0]
def read16le(str, offset=0):
return unpack('<H', str[offset:offset + 2])[0]
def read32be(str, offset=0):
return unpack('>I', s... | 30.75 | 73 | 0.655488 | from struct import unpack
def read8(str, offset=0):
return unpack('B', str[offset:offset + 1])[0]
def read16be(str, offset=0):
return unpack('>H', str[offset:offset + 2])[0]
def read16le(str, offset=0):
return unpack('<H', str[offset:offset + 2])[0]
def read32be(str, offset=0):
return unpack('>I', s... | true | true |
1c0ebcfecefcf5d449d0081e37d8b7f9828822ad | 714 | py | Python | plusplus/config.py | SubparLabs/pluspl.us | 4abe43ad5e8f3dbfc78b17ac0a376b099ad20a02 | [
"MIT"
] | 8 | 2019-11-05T05:59:03.000Z | 2021-08-20T01:45:45.000Z | plusplus/config.py | SubparLabs/pluspl.us | 4abe43ad5e8f3dbfc78b17ac0a376b099ad20a02 | [
"MIT"
] | 129 | 2019-11-28T00:19:07.000Z | 2021-08-24T19:23:17.000Z | plusplus/config.py | SubparLabs/pluspl.us | 4abe43ad5e8f3dbfc78b17ac0a376b099ad20a02 | [
"MIT"
] | 13 | 2019-08-08T07:41:30.000Z | 2022-02-21T18:17:33.000Z | import os
VERSION = 0.1
NAME = os.environ.get("NAME")
SLACK_CLIENT_ID = os.environ.get('SLACK_CLIENT_ID')
SLACK_CLIENT_SECRET = os.environ.get('SLACK_CLIENT_SECRET')
SLACK_SCOPES = "chat:write,im:history,im:write,mpim:history,mpim:write,team:read,channels:history,app_mentions:read"
SLACK_OAUTH_URL = f"https://slack.co... | 47.6 | 116 | 0.809524 | import os
VERSION = 0.1
NAME = os.environ.get("NAME")
SLACK_CLIENT_ID = os.environ.get('SLACK_CLIENT_ID')
SLACK_CLIENT_SECRET = os.environ.get('SLACK_CLIENT_SECRET')
SLACK_SCOPES = "chat:write,im:history,im:write,mpim:history,mpim:write,team:read,channels:history,app_mentions:read"
SLACK_OAUTH_URL = f"https://slack.co... | true | true |
1c0ebe2f87f3f7dc0f48e8dcd79848c23462a12f | 860 | py | Python | fm/chassis.py | LaudateCorpus1/ZFM | c92db4637010c304fe7df5057813f591a3577322 | [
"Apache-2.0"
] | null | null | null | fm/chassis.py | LaudateCorpus1/ZFM | c92db4637010c304fe7df5057813f591a3577322 | [
"Apache-2.0"
] | null | null | null | fm/chassis.py | LaudateCorpus1/ZFM | c92db4637010c304fe7df5057813f591a3577322 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
#
# (C) Copyright 2020 Hewlett Packard Enterprise Development LP.
# Licensed under the Apache v2.0 license.
#
import re
import os
import sys
import json
from km.fm.log import Log
# -----------------------------------------------------------------------------------------------------------------... | 26.875 | 123 | 0.445349 |
import re
import os
import sys
import json
from km.fm.log import Log
class Chassis():
def __init__(self, node, name):
self.node = node
self.name = name
self.configuration = node.configuration[name]
def ready(self):
status, attr = self.node.get(self.name)
if status:... | true | true |
1c0ebf9b1c458ca4272e93c27a9e45fe9349305a | 136 | py | Python | online_judges/atcoder/contests/abc203/b/b.py | miaortizma/competitive-programming | ea5adfc07e49935acfc0697eeb0a12c7dc6cd8cc | [
"MIT"
] | 2 | 2018-02-20T14:44:57.000Z | 2018-02-20T14:45:03.000Z | online_judges/atcoder/contests/abc203/b/b.py | miaortizma/competitive-programming | ea5adfc07e49935acfc0697eeb0a12c7dc6cd8cc | [
"MIT"
] | null | null | null | online_judges/atcoder/contests/abc203/b/b.py | miaortizma/competitive-programming | ea5adfc07e49935acfc0697eeb0a12c7dc6cd8cc | [
"MIT"
] | null | null | null | N, K = map(int, input().split())
S = 0
for i in range(1, N + 1):
for j in range(1, K + 1):
S += int(f'{i}0{j}')
print(S)
| 13.6 | 32 | 0.455882 | N, K = map(int, input().split())
S = 0
for i in range(1, N + 1):
for j in range(1, K + 1):
S += int(f'{i}0{j}')
print(S)
| true | true |
1c0ec02ffb7818cafea65d7bdea367d5d3e32a9c | 46,439 | py | Python | ansible/my_env/lib/python2.7/site-packages/ansible/modules/net_tools/nmcli.py | otus-devops-2019-02/yyashkin_infra | 0cd0c003884155ac922e3e301305ac202de7028c | [
"MIT"
] | 1 | 2019-04-16T21:23:15.000Z | 2019-04-16T21:23:15.000Z | ansible/my_env/lib/python2.7/site-packages/ansible/modules/net_tools/nmcli.py | otus-devops-2019-02/yyashkin_infra | 0cd0c003884155ac922e3e301305ac202de7028c | [
"MIT"
] | 5 | 2020-02-26T20:10:50.000Z | 2021-09-23T23:23:18.000Z | ansible/my_env/lib/python2.7/site-packages/ansible/modules/net_tools/nmcli.py | otus-devops-2019-02/yyashkin_infra | 0cd0c003884155ac922e3e301305ac202de7028c | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright: (c) 2015, Chris Long <alcamie@gmail.com> <chlong@redhat.com>
# Copyright: (c) 2017, Ansible Project
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__meta... | 36.422745 | 150 | 0.58397 |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'
}
DOCUMENTATION = '''
---
module: nmcli
author: "Chris Long (@alcamie101)"
short_description: Manage Networking
requir... | true | true |
1c0ec087e03e515e7829935410b8b666a211128e | 1,732 | py | Python | dump_convex_hull.py | vibhoothi/awcy | 172edeeca8c331d63ee72f6a3928fc6b2965d845 | [
"MIT"
] | null | null | null | dump_convex_hull.py | vibhoothi/awcy | 172edeeca8c331d63ee72f6a3928fc6b2965d845 | [
"MIT"
] | null | null | null | dump_convex_hull.py | vibhoothi/awcy | 172edeeca8c331d63ee72f6a3928fc6b2965d845 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from __future__ import print_function
from numpy import *
import numpy as np
from scipy import *
from scipy.interpolate import interp1d
from scipy.interpolate import pchip
from scipy.interpolate import BPoly
from scipy._lib._util import _asarray_validated
import sys
import os
import argparse
im... | 29.862069 | 98 | 0.646074 |
from __future__ import print_function
from numpy import *
import numpy as np
from scipy import *
from scipy.interpolate import interp1d
from scipy.interpolate import pchip
from scipy.interpolate import BPoly
from scipy._lib._util import _asarray_validated
import sys
import os
import argparse
import json
import subpro... | true | true |
1c0ec09fd22aa61719da30beac7b496a36378006 | 5,855 | py | Python | bootstrap.py | ashok-g/dirsync | 39d5d69adcf78f97caca3be086c3703b6f0fb541 | [
"MIT"
] | 1 | 2020-11-17T13:04:16.000Z | 2020-11-17T13:04:16.000Z | bootstrap.py | ashok-g/dirsync | 39d5d69adcf78f97caca3be086c3703b6f0fb541 | [
"MIT"
] | null | null | null | bootstrap.py | ashok-g/dirsync | 39d5d69adcf78f97caca3be086c3703b6f0fb541 | [
"MIT"
] | 1 | 2021-05-09T13:11:48.000Z | 2021-05-09T13:11:48.000Z | ##############################################################################
#
# Copyright (c) 2006 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# T... | 34.239766 | 80 | 0.60205 |
import os
import shutil
import sys
import tempfile
from optparse import OptionParser
tmpeggs = tempfile.mkdtemp()
usage = '''\
[DESIRED PYTHON FOR BUILDOUT] bootstrap.py [options]
Bootstraps a buildout-based project.
Simply run this script in a directory containing a buildout.cfg, using the
Python... | true | true |
1c0ec0c626bf9375f98ae86c74c0ee0f19d88fc9 | 7,307 | py | Python | nebula_test_files/vox_tri_pri/gen_pri_wall.py | RichardJ112/nebula_dynamic_2021 | 6e120f4562e46cd02d981e75aa4238d16ee0e9c8 | [
"BSD-3-Clause"
] | null | null | null | nebula_test_files/vox_tri_pri/gen_pri_wall.py | RichardJ112/nebula_dynamic_2021 | 6e120f4562e46cd02d981e75aa4238d16ee0e9c8 | [
"BSD-3-Clause"
] | null | null | null | nebula_test_files/vox_tri_pri/gen_pri_wall.py | RichardJ112/nebula_dynamic_2021 | 6e120f4562e46cd02d981e75aa4238d16ee0e9c8 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import os
# Point exposure for Wall Depositions
#Automation Additions
HPC_toggle = False
multi_run_folder_toggle = False# single or multi folder (True is multi,False is single)
desktop_toggle = True
date = "/20_8_2021/"
# Parameters Geom
voxel_size = 0.3; # voxel size in nanometers (0.27 nm is ap... | 37.860104 | 180 | 0.604215 | import numpy as np
import os
HPC_toggle = False
multi_run_folder_toggle = Falsedesktop_toggle = True
date = "/20_8_2021/"
voxel_size = 0.3; size_x= 401 size_y = 401 size_z = 1001 volume = size_x*size_y*size_z voxel_size_pm = int(voxel_size*1000)
num_x = int(11) num_y = int(21) num_x_range = np.linspace(-(num_x-1)/... | true | true |
1c0ec0f27fba6618c1a50664baddf97a36fd5f9b | 4,961 | py | Python | figures/controls/samples/sim_data/regression/experiment_3/sim_run_instance.py | OmnesRes/ATGC2 | 53ee01e60fc6f180b590f5acc5f083155581c96c | [
"MIT"
] | 1 | 2021-04-15T16:13:27.000Z | 2021-04-15T16:13:27.000Z | figures/controls/samples/sim_data/regression/experiment_3/sim_run_instance.py | OmnesRes/ATGC2 | 53ee01e60fc6f180b590f5acc5f083155581c96c | [
"MIT"
] | null | null | null | figures/controls/samples/sim_data/regression/experiment_3/sim_run_instance.py | OmnesRes/ATGC2 | 53ee01e60fc6f180b590f5acc5f083155581c96c | [
"MIT"
] | null | null | null | import numpy as np
import tensorflow as tf
from model.Instance_MIL import InstanceModels, RaggedModels
from model import DatasetsUtils
from sklearn.model_selection import StratifiedShuffleSplit
import pickle
physical_devices = tf.config.experimental.list_physical_devices('GPU')
tf.config.experimental.set_memory_growth(... | 52.221053 | 186 | 0.65128 | import numpy as np
import tensorflow as tf
from model.Instance_MIL import InstanceModels, RaggedModels
from model import DatasetsUtils
from sklearn.model_selection import StratifiedShuffleSplit
import pickle
physical_devices = tf.config.experimental.list_physical_devices('GPU')
tf.config.experimental.set_memory_growth(... | true | true |
1c0ec1a7d280e793a31ce00368bb092dd3c8f690 | 1,370 | py | Python | massdm.py | ksIsCute/MassDM | 9989b658b961c8b78fa8dc2655d797ec0a8a505a | [
"MIT"
] | null | null | null | massdm.py | ksIsCute/MassDM | 9989b658b961c8b78fa8dc2655d797ec0a8a505a | [
"MIT"
] | null | null | null | massdm.py | ksIsCute/MassDM | 9989b658b961c8b78fa8dc2655d797ec0a8a505a | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands
import sys, time
class colors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKCYAN = '\033[96m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
RESET = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
print(colors.OKCYAN + """
╔═╗╔═╦═══... | 28.541667 | 80 | 0.524088 | import discord
from discord.ext import commands
import sys, time
class colors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKCYAN = '\033[96m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
RESET = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
print(colors.OKCYAN + """
╔═╗╔═╦═══... | true | true |
1c0ec2ac1b4ec01c91cd909b8673e5393e50231d | 29,964 | py | Python | tensorflow/python/distribute/sharded_variable_test.py | mcx/tensorflow | d7e521a1ad21681855b439b9c2a05837c804e488 | [
"Apache-2.0"
] | null | null | null | tensorflow/python/distribute/sharded_variable_test.py | mcx/tensorflow | d7e521a1ad21681855b439b9c2a05837c804e488 | [
"Apache-2.0"
] | null | null | null | tensorflow/python/distribute/sharded_variable_test.py | mcx/tensorflow | d7e521a1ad21681855b439b9c2a05837c804e488 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The TensorFlow Authors. 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 applica... | 37.22236 | 84 | 0.663429 |
import os
from absl.testing import parameterized
import numpy as np
from tensorflow.python.checkpoint import checkpoint as util
from tensorflow.python.client import session as session_lib
from tensorflow.python.compat import v2_compat
from tensorflow.python.distribute import combinations
from tensorflow.python.distri... | true | true |
1c0ec4af3241a1a609e3ab06d1fce385c767ca73 | 3,592 | py | Python | brick/app.py | madron/brick-iot | 47b52a2f5fa9cf46e048fab773a58876fd984062 | [
"MIT"
] | null | null | null | brick/app.py | madron/brick-iot | 47b52a2f5fa9cf46e048fab773a58876fd984062 | [
"MIT"
] | null | null | null | brick/app.py | madron/brick-iot | 47b52a2f5fa9cf46e048fab773a58876fd984062 | [
"MIT"
] | null | null | null | import sys
import time
import asyncio
from brick import web
from brick.component import FakeComponent
from brick.config import ConfigManager
from brick.device import DeviceManager
from brick.hardware import HardwareManager
from brick.logging import LogCollector, StdoutLogConsumer
from brick.message import Dispatcher
fr... | 35.92 | 99 | 0.589365 | import sys
import time
import asyncio
from brick import web
from brick.component import FakeComponent
from brick.config import ConfigManager
from brick.device import DeviceManager
from brick.hardware import HardwareManager
from brick.logging import LogCollector, StdoutLogConsumer
from brick.message import Dispatcher
fr... | true | true |
1c0ec4b1d0634daab15f8b9ad9214a6dff74ce04 | 2,873 | py | Python | platforms/c-rocm/schedule/standard/batch_matmul_v1.py | tonyw/antares | 6c2c505ab73d25b2f40831898a10bbf09602a4a0 | [
"MIT"
] | 2 | 2020-12-19T17:40:41.000Z | 2021-10-18T03:28:09.000Z | platforms/c-rocm/schedule/standard/batch_matmul_v1.py | tonyw/antares | 6c2c505ab73d25b2f40831898a10bbf09602a4a0 | [
"MIT"
] | null | null | null | platforms/c-rocm/schedule/standard/batch_matmul_v1.py | tonyw/antares | 6c2c505ab73d25b2f40831898a10bbf09602a4a0 | [
"MIT"
] | 1 | 2021-01-15T22:18:47.000Z | 2021-01-15T22:18:47.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import numpy as np
from tvm import te
import logging
import sys, time, subprocess
import json
import os
def schedule(attrs):
cfg, s, output = attrs.auto_config, attrs.scheduler, attrs.outputs[0]
th_vals, rd_vals = [attrs.get_extent(x)... | 30.56383 | 122 | 0.590672 |
import numpy as np
from tvm import te
import logging
import sys, time, subprocess
import json
import os
def schedule(attrs):
cfg, s, output = attrs.auto_config, attrs.scheduler, attrs.outputs[0]
th_vals, rd_vals = [attrs.get_extent(x) for x in output.op.axis], [attrs.get_extent(x) for x in output.op.reduce... | true | true |
1c0ec5b336afcb6cafb6f501c1accb8ffaea5da3 | 8,568 | py | Python | xarrayutils/plotting.py | hogikyan/xarrayutils | a0c583113665882e70fce8590a90a5b2fff176c3 | [
"MIT"
] | null | null | null | xarrayutils/plotting.py | hogikyan/xarrayutils | a0c583113665882e70fce8590a90a5b2fff176c3 | [
"MIT"
] | null | null | null | xarrayutils/plotting.py | hogikyan/xarrayutils | a0c583113665882e70fce8590a90a5b2fff176c3 | [
"MIT"
] | null | null | null | import numpy as np
import xarray as xr
import matplotlib.pyplot as plt
import gsw
def center_lim(ax, which='y'):
if which == 'y':
lim = np.array(ax.get_ylim())
ax.set_ylim(np.array([-1, 1]) * abs(lim).max())
elif which == 'x':
lim = np.array(ax.get_xlim())
ax.set_xlim(np.array(... | 32.332075 | 79 | 0.564659 | import numpy as np
import xarray as xr
import matplotlib.pyplot as plt
import gsw
def center_lim(ax, which='y'):
if which == 'y':
lim = np.array(ax.get_ylim())
ax.set_ylim(np.array([-1, 1]) * abs(lim).max())
elif which == 'x':
lim = np.array(ax.get_xlim())
ax.set_xlim(np.array(... | true | true |
1c0ec5ef25be10507a4ccb14410898a25578d6f8 | 27,245 | py | Python | pymkv/MKVFile.py | GoldbergData/pymkv | 6d5cc299c1eb14f6e2db980bef222f09a6df6f3a | [
"MIT"
] | null | null | null | pymkv/MKVFile.py | GoldbergData/pymkv | 6d5cc299c1eb14f6e2db980bef222f09a6df6f3a | [
"MIT"
] | null | null | null | pymkv/MKVFile.py | GoldbergData/pymkv | 6d5cc299c1eb14f6e2db980bef222f09a6df6f3a | [
"MIT"
] | null | null | null | # sheldon woodward
# 2/25/2018
"""MKVFile Class"""
import json
from os import devnull
from os.path import expanduser, isfile
import subprocess as sp
import bitmath
from pymkv.MKVTrack import MKVTrack
from pymkv.MKVAttachment import MKVAttachment
from pymkv.Timestamp import Timestamp
from pymkv.ISO639_2 import ISO63... | 41.217852 | 118 | 0.593503 |
import json
from os import devnull
from os.path import expanduser, isfile
import subprocess as sp
import bitmath
from pymkv.MKVTrack import MKVTrack
from pymkv.MKVAttachment import MKVAttachment
from pymkv.Timestamp import Timestamp
from pymkv.ISO639_2 import ISO639_2 as LANGUAGES
from pymkv.Verifications import ve... | true | true |
1c0ec6376ecc79aa1fcce72e0793b31ba923da97 | 886 | py | Python | answer/0094/94.linningmii.py | linningmii/leetcode | c3852252cc375778ee52669caacbfbbee50c1648 | [
"MIT"
] | 15 | 2018-12-05T09:34:24.000Z | 2022-01-30T15:47:58.000Z | answer/0094/94.linningmii.py | linningmii/leetcode | c3852252cc375778ee52669caacbfbbee50c1648 | [
"MIT"
] | 7 | 2018-12-20T04:55:27.000Z | 2019-01-17T01:57:45.000Z | answer/0094/94.linningmii.py | linningmii/leetcode | c3852252cc375778ee52669caacbfbbee50c1648 | [
"MIT"
] | 6 | 2018-12-05T08:43:45.000Z | 2019-05-06T01:25:24.000Z | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def inorderTraversal(self, root):
"""
:type root: TreeNode
:rtype: List[int]
"""
result = []
... | 23.945946 | 50 | 0.462754 |
class Solution:
def inorderTraversal(self, root):
result = []
cur_node = root
stack = []
still_has_node = True
while still_has_node:
if cur_node is None:
if len(stack) == 0:
still_has_node = False
contin... | true | true |
1c0ec6b053c41896bb28ed203475ab496dcfa80b | 2,820 | py | Python | bot.py | howtoosee/MooVieGo | 203dd454f4e7d5adbb615379febd3b1e5db8f149 | [
"MIT"
] | null | null | null | bot.py | howtoosee/MooVieGo | 203dd454f4e7d5adbb615379febd3b1e5db8f149 | [
"MIT"
] | null | null | null | bot.py | howtoosee/MooVieGo | 203dd454f4e7d5adbb615379febd3b1e5db8f149 | [
"MIT"
] | null | null | null | import telebot
from telebot.types import ReplyKeyboardRemove, ReplyKeyboardMarkup
from load_env import load_env
from search import custom_search
# Bot Settings
env = load_env()
TOKEN = env['TELE_TOKEN']
bot = telebot.TeleBot(TOKEN)
# UI inputs
hideBoard = ReplyKeyboardRemove() # function to hide inline keyboard
lis... | 30 | 102 | 0.660638 | import telebot
from telebot.types import ReplyKeyboardRemove, ReplyKeyboardMarkup
from load_env import load_env
from search import custom_search
env = load_env()
TOKEN = env['TELE_TOKEN']
bot = telebot.TeleBot(TOKEN)
hideBoard = ReplyKeyboardRemove() list_of_commands = []
@bot.message_handler(commands=['start'])
... | true | true |
1c0ec74aaceee64a2c2fe2005f6ef9f56947f67b | 2,155 | py | Python | inference.py | rluver/ocr_attention_tensorflow | 448876d809bd6f80d7fae00ebdbbc9222046ddb4 | [
"MIT"
] | null | null | null | inference.py | rluver/ocr_attention_tensorflow | 448876d809bd6f80d7fae00ebdbbc9222046ddb4 | [
"MIT"
] | null | null | null | inference.py | rluver/ocr_attention_tensorflow | 448876d809bd6f80d7fae00ebdbbc9222046ddb4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sat Jul 31 23:13:26 2021
@author: MJH
"""
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
from model import OCR_Attention
from auxiliary import decode_batch_predictions, encode_single_sample
from tensorflow.keras.models import Model
class OCR:
... | 26.9375 | 93 | 0.562877 | import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
from model import OCR_Attention
from auxiliary import decode_batch_predictions, encode_single_sample
from tensorflow.keras.models import Model
class OCR:
def __init__(self, config_path, model_path, max_length):
with open(con... | true | true |
1c0ec83f5831ac9be6014f0dec6f610c52e6fbd1 | 12,050 | py | Python | cms/tests/toolbar.py | jinktv/django-cms | d8c689957f0d098a106829e896e0c91d0c1abd86 | [
"BSD-3-Clause"
] | null | null | null | cms/tests/toolbar.py | jinktv/django-cms | d8c689957f0d098a106829e896e0c91d0c1abd86 | [
"BSD-3-Clause"
] | 1 | 2021-03-19T15:46:42.000Z | 2021-03-19T15:46:42.000Z | cms/tests/toolbar.py | jinktv/django-cms | d8c689957f0d098a106829e896e0c91d0c1abd86 | [
"BSD-3-Clause"
] | 1 | 2016-11-07T01:42:14.000Z | 2016-11-07T01:42:14.000Z | from __future__ import with_statement
from cms.api import create_page
from cms.cms_toolbar import CMSToolbar
from cms.test_utils.testcases import SettingsOverrideTestCase
from cms.test_utils.util.context_managers import SettingsOverride
from cms.toolbar.items import (Anchor, TemplateHTML, Switcher, List, ListItem,
... | 38.375796 | 98 | 0.647303 | from __future__ import with_statement
from cms.api import create_page
from cms.cms_toolbar import CMSToolbar
from cms.test_utils.testcases import SettingsOverrideTestCase
from cms.test_utils.util.context_managers import SettingsOverride
from cms.toolbar.items import (Anchor, TemplateHTML, Switcher, List, ListItem,
... | true | true |
1c0ec85e03e4291df52aef13b6a8f5908430161c | 8,347 | py | Python | apps/markets/models.py | uktrade/enav-alpha | 8d38f05763367ca6b6747203241f267612fd6e44 | [
"MIT"
] | null | null | null | apps/markets/models.py | uktrade/enav-alpha | 8d38f05763367ca6b6747203241f267612fd6e44 | [
"MIT"
] | 67 | 2016-07-11T12:57:58.000Z | 2016-08-08T12:59:19.000Z | apps/markets/models.py | UKTradeInvestment/enav-alpha | 8d38f05763367ca6b6747203241f267612fd6e44 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
import base64
import datetime
from django.db import models
from django.utils import timezone
from ckeditor.fields import RichTextField
# SAMPLE DATA
PLATFORM_BRAND_POSITION = (
('0', 'Luxury'),
('1', 'mid'),
('2', 'discount')
)
# SAMPLE DATA
# Pulled from https://... | 41.944724 | 102 | 0.727207 | from __future__ import unicode_literals
import base64
import datetime
from django.db import models
from django.utils import timezone
from ckeditor.fields import RichTextField
PLATFORM_BRAND_POSITION = (
('0', 'Luxury'),
('1', 'mid'),
('2', 'discount')
)
LISTING_LANGUAGES = (
('0', 'English (eng)'),
... | true | true |
1c0ec8f9d6984de099362b0a85c12caad17a6e87 | 116 | py | Python | main.py | dz1domin/tictactoe | 671eeaecb6e6c8434b2db5595d15fbcd28e90f49 | [
"MIT"
] | null | null | null | main.py | dz1domin/tictactoe | 671eeaecb6e6c8434b2db5595d15fbcd28e90f49 | [
"MIT"
] | null | null | null | main.py | dz1domin/tictactoe | 671eeaecb6e6c8434b2db5595d15fbcd28e90f49 | [
"MIT"
] | null | null | null | from game import Game
def main():
game = Game()
game.start_game()
if __name__ == '__main__':
main()
| 10.545455 | 26 | 0.594828 | from game import Game
def main():
game = Game()
game.start_game()
if __name__ == '__main__':
main()
| true | true |
1c0ec9742fc356111b259dbfe74045df501d70de | 836 | py | Python | corona_data_collector/gps_generator.py | tkarady/avid-covider-pipelines | 43944410092ebab24e821b385de3735b757f0062 | [
"MIT"
] | null | null | null | corona_data_collector/gps_generator.py | tkarady/avid-covider-pipelines | 43944410092ebab24e821b385de3735b757f0062 | [
"MIT"
] | 20 | 2020-04-16T16:26:07.000Z | 2020-10-08T07:52:27.000Z | corona_data_collector/gps_generator.py | tkarady/avid-covider-pipelines | 43944410092ebab24e821b385de3735b757f0062 | [
"MIT"
] | 5 | 2020-04-16T16:36:35.000Z | 2020-10-03T12:48:05.000Z | from corona_data_collector.config import gps_url, gps_url_key
import requests
NOT_FOUND = -1
FROM_WEB = 0
FROM_LIST = 1
def get_coords_from_web(street, city):
street_accurate = street != city
response = requests.get(f'{gps_url}?key={gps_url_key}&address={street} {city}')
if response.status_code == 200:
... | 34.833333 | 87 | 0.642344 | from corona_data_collector.config import gps_url, gps_url_key
import requests
NOT_FOUND = -1
FROM_WEB = 0
FROM_LIST = 1
def get_coords_from_web(street, city):
street_accurate = street != city
response = requests.get(f'{gps_url}?key={gps_url_key}&address={street} {city}')
if response.status_code == 200:
... | true | true |
1c0ec9c8ed4d868ce3842d1b7faabc2e899b3524 | 2,358 | py | Python | tests/test_simple.py | estevaoreis25/lispy | a1ae65d5862bc9f8a32940e9a9d50d4664f66a26 | [
"MIT"
] | 5 | 2019-11-01T20:07:50.000Z | 2020-10-06T17:40:47.000Z | tests/test_simple.py | estevaoreis25/lispy | a1ae65d5862bc9f8a32940e9a9d50d4664f66a26 | [
"MIT"
] | 5 | 2019-10-28T20:16:51.000Z | 2019-10-28T20:51:55.000Z | tests/test_simple.py | GabrielTiveron/lispy | 12cc0a382151be75249e152e52ead2cb34d38ac4 | [
"MIT"
] | 34 | 2019-10-22T17:25:53.000Z | 2020-10-06T17:40:41.000Z | from lispy import var, env, Symbol, parse, eval, global_env
run = lambda src, env=None: eval(parse(src), env)
x, y, a, b, c, f, g, h, op = map(Symbol, 'x y a b c f g h op'.split())
class TestLispGrammar:
def test_numbers(self):
assert parse('42') == 42
assert parse('3.14') == 3.14
assert ... | 31.44 | 70 | 0.52799 | from lispy import var, env, Symbol, parse, eval, global_env
run = lambda src, env=None: eval(parse(src), env)
x, y, a, b, c, f, g, h, op = map(Symbol, 'x y a b c f g h op'.split())
class TestLispGrammar:
def test_numbers(self):
assert parse('42') == 42
assert parse('3.14') == 3.14
assert ... | true | true |
1c0ec9ed5bf451bf5198d4a77a34d7d06d870d5e | 644 | py | Python | hamdan_topics/src/message_publisher.py | hamdan321m/Final | 16211900503ee47537df5debae6dc112a232cb7a | [
"Apache-2.0"
] | null | null | null | hamdan_topics/src/message_publisher.py | hamdan321m/Final | 16211900503ee47537df5debae6dc112a232cb7a | [
"Apache-2.0"
] | null | null | null | hamdan_topics/src/message_publisher.py | hamdan321m/Final | 16211900503ee47537df5debae6dc112a232cb7a | [
"Apache-2.0"
] | 1 | 2020-05-11T02:56:21.000Z | 2020-05-11T02:56:21.000Z | #!/usr/bin/env python
import rospy
from hamdan_topics.msg import Complex # custom message type
from random import random # for random numbers!
rospy.init_node('message_publisher') # initialize node
pub = rospy.Publisher( # register topic
'complex', # topic name
Complex, # custom mes... | 29.272727 | 59 | 0.645963 | import rospy
from hamdan_topics.msg import Complex from random import random
rospy.init_node('message_publisher')
pub = rospy.Publisher( 'complex', Complex, queue_size=3 )
rate = rospy.Rate(2)
while not rospy.is_shutdown(): msg = Complex() msg.real = ran... | true | true |
1c0ecbdf8df964bf3ca4d989481abd7aa7a71ccd | 1,866 | py | Python | aliyun-python-sdk-sgw/aliyunsdksgw/request/v20180511/RemoveSharesFromExpressSyncRequest.py | yndu13/aliyun-openapi-python-sdk | 12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5 | [
"Apache-2.0"
] | 1,001 | 2015-07-24T01:32:41.000Z | 2022-03-25T01:28:18.000Z | aliyun-python-sdk-sgw/aliyunsdksgw/request/v20180511/RemoveSharesFromExpressSyncRequest.py | yndu13/aliyun-openapi-python-sdk | 12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5 | [
"Apache-2.0"
] | 363 | 2015-10-20T03:15:00.000Z | 2022-03-08T12:26:19.000Z | aliyun-python-sdk-sgw/aliyunsdksgw/request/v20180511/RemoveSharesFromExpressSyncRequest.py | yndu13/aliyun-openapi-python-sdk | 12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5 | [
"Apache-2.0"
] | 682 | 2015-09-22T07:19:02.000Z | 2022-03-22T09:51:46.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 37.32 | 90 | 0.775991 |
from aliyunsdkcore.request import RpcRequest
from aliyunsdksgw.endpoint import endpoint_data
class RemoveSharesFromExpressSyncRequest(RpcRequest):
def __init__(self):
RpcRequest.__init__(self, 'sgw', '2018-05-11', 'RemoveSharesFromExpressSync','hcs_sgw')
self.set_method('POST')
if hasattr(self, "endpoint_map... | true | true |
1c0ecd088765327fe8247014e09342150c5894e0 | 124 | py | Python | torch/cuda/amp/__init__.py | Hacky-DH/pytorch | 80dc4be615854570aa39a7e36495897d8a040ecc | [
"Intel"
] | 60,067 | 2017-01-18T17:21:31.000Z | 2022-03-31T21:37:45.000Z | torch/cuda/amp/__init__.py | Hacky-DH/pytorch | 80dc4be615854570aa39a7e36495897d8a040ecc | [
"Intel"
] | 66,955 | 2017-01-18T17:21:38.000Z | 2022-03-31T23:56:11.000Z | torch/cuda/amp/__init__.py | Hacky-DH/pytorch | 80dc4be615854570aa39a7e36495897d8a040ecc | [
"Intel"
] | 19,210 | 2017-01-18T17:45:04.000Z | 2022-03-31T23:51:56.000Z | from .autocast_mode import autocast, custom_fwd, custom_bwd # noqa: F401
from .grad_scaler import GradScaler # noqa: F401
| 41.333333 | 73 | 0.790323 | from .autocast_mode import autocast, custom_fwd, custom_bwd from .grad_scaler import GradScaler | true | true |
1c0ecdd9f19a9353d2d98ec89fdc6e412d0af2ed | 1,427 | py | Python | working-with-data/part2/merge-on-index.py | LucasHelal/data-science | 9b243be1dea23a521e6ebb49dc358708a9b17dbd | [
"MIT"
] | null | null | null | working-with-data/part2/merge-on-index.py | LucasHelal/data-science | 9b243be1dea23a521e6ebb49dc358708a9b17dbd | [
"MIT"
] | null | null | null | working-with-data/part2/merge-on-index.py | LucasHelal/data-science | 9b243be1dea23a521e6ebb49dc358708a9b17dbd | [
"MIT"
] | null | null | null | import pandas as pd
from pandas import Series, DataFrame
import numpy as np
# Now we'll learn how to merge on an index
# Lets get two dframes
df_left = DataFrame({'key': ['X', 'Y', 'Z', 'X', 'Y'],
'data': range(5)})
df_right = DataFrame({'group_data': [10, 20]}, index=['X', 'Y'])
# Now merge, we... | 37.552632 | 79 | 0.602663 | import pandas as pd
from pandas import Series, DataFrame
import numpy as np
# Lets get two dframes
df_left = DataFrame({'key': ['X', 'Y', 'Z', 'X', 'Y'],
'data': range(5)})
df_right = DataFrame({'group_data': [10, 20]}, index=['X', 'Y'])
# Now merge, we'll use the key for the left Dframe, and th... | true | true |
1c0ece7f2a97f750fbe54d40a0e88fbfaf1fe625 | 1,494 | py | Python | users/models.py | D-GopalKrishna/RobotixWeb2021 | 3f99d41b2c4c99a3d1a214db1489f3e2fb1bfbb2 | [
"Apache-2.0"
] | null | null | null | users/models.py | D-GopalKrishna/RobotixWeb2021 | 3f99d41b2c4c99a3d1a214db1489f3e2fb1bfbb2 | [
"Apache-2.0"
] | 7 | 2020-02-12T02:54:35.000Z | 2022-03-12T00:06:26.000Z | users/models.py | D-GopalKrishna/RobotixWeb2021 | 3f99d41b2c4c99a3d1a214db1489f3e2fb1bfbb2 | [
"Apache-2.0"
] | 6 | 2020-02-10T16:37:38.000Z | 2021-01-28T13:39:46.000Z | from django.db import models
from django.contrib.auth.models import AbstractBaseUser,PermissionsMixin,BaseUserManager
from roboPortal.models import portalUser
# Create your models here.
class UserProfileManager(BaseUserManager):
def create_user(self,email,name,phone_no,password=None):
if not email:
... | 31.787234 | 88 | 0.702811 | from django.db import models
from django.contrib.auth.models import AbstractBaseUser,PermissionsMixin,BaseUserManager
from roboPortal.models import portalUser
class UserProfileManager(BaseUserManager):
def create_user(self,email,name,phone_no,password=None):
if not email:
raise ValueError('Use... | true | true |
1c0ecefe81f9408ecc4e15ac709c460d7c69e491 | 399 | py | Python | secao04/01.multiprocessing_pool.py | ravellys/python-assync | 58cc7f6534d85b7b426da90dc0b042d9e9deaf0a | [
"MIT"
] | null | null | null | secao04/01.multiprocessing_pool.py | ravellys/python-assync | 58cc7f6534d85b7b426da90dc0b042d9e9deaf0a | [
"MIT"
] | null | null | null | secao04/01.multiprocessing_pool.py | ravellys/python-assync | 58cc7f6534d85b7b426da90dc0b042d9e9deaf0a | [
"MIT"
] | null | null | null | from multiprocessing import Process, current_process
print(f'1 - Iniciando o processo com nome: {current_process().name}')
def faz_algo(valor):
print(f'valor = {valor}')
def main():
pc = Process(target=faz_algo, args=('Passaro', ), name='Processo interno')
print(f'2 - Iniciando o processo com nome: {pc... | 19.95 | 78 | 0.659148 | from multiprocessing import Process, current_process
print(f'1 - Iniciando o processo com nome: {current_process().name}')
def faz_algo(valor):
print(f'valor = {valor}')
def main():
pc = Process(target=faz_algo, args=('Passaro', ), name='Processo interno')
print(f'2 - Iniciando o processo com nome: {pc... | true | true |
1c0ecf0d2193dc08d03ab9cf1656f5138426afb3 | 722,561 | py | Python | sdk/network/azure-mgmt-network/azure/mgmt/network/v2019_11_01/models/_models.py | iscai-msft/azure-sdk-for-python | 83715b95c41e519d5be7f1180195e2fba136fc0f | [
"MIT"
] | 1 | 2020-05-12T23:29:15.000Z | 2020-05-12T23:29:15.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2019_11_01/models/_models.py | iscai-msft/azure-sdk-for-python | 83715b95c41e519d5be7f1180195e2fba136fc0f | [
"MIT"
] | 226 | 2019-07-24T07:57:21.000Z | 2019-10-15T01:07:24.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2019_11_01/models/_models.py | iscai-msft/azure-sdk-for-python | 83715b95c41e519d5be7f1180195e2fba136fc0f | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 42.161337 | 174 | 0.674235 |
from msrest.serialization import Model
from msrest.exceptions import HttpOperationError
class AadAuthenticationParameters(Model):
_attribute_map = {
'aad_tenant': {'key': 'aadTenant', 'type': 'str'},
'aad_audience': {'key': 'aadAudience', 'type': 'str'},
'aad_issuer': {'key': 'aadIssuer'... | true | true |
1c0ecf65c0d6bfda5cc006d6ce71a15e2afdc3c5 | 9,651 | py | Python | tms_nw/tms_nw_api/scripts/tms_nw_api_server.py | robotpilot/ros_tms | 3d6b6579e89aa9cb216cd3cb6157fabc553c18f1 | [
"BSD-3-Clause"
] | 54 | 2015-01-06T06:58:28.000Z | 2021-05-02T07:49:37.000Z | tms_nw/tms_nw_api/scripts/tms_nw_api_server.py | robotpilot/ros_tms | 3d6b6579e89aa9cb216cd3cb6157fabc553c18f1 | [
"BSD-3-Clause"
] | 114 | 2015-01-07T06:42:21.000Z | 2022-02-12T05:54:04.000Z | tms_nw/tms_nw_api/scripts/tms_nw_api_server.py | robotpilot/ros_tms | 3d6b6579e89aa9cb216cd3cb6157fabc553c18f1 | [
"BSD-3-Clause"
] | 24 | 2015-03-27T08:35:59.000Z | 2020-06-08T13:05:31.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
import rospy
from tms_msg_db.msg import Tmsdb
from tms_msg_db.srv import TmsdbGetData
from tms_nw_api.srv import *
from flask import Flask, jsonify, abort, make_response,request
import os
import json
import requests
from multiprocessing import Process, Manager
host_url = os.get... | 30.735669 | 154 | 0.516216 | import rospy
from tms_msg_db.msg import Tmsdb
from tms_msg_db.srv import TmsdbGetData
from tms_nw_api.srv import *
from flask import Flask, jsonify, abort, make_response,request
import os
import json
import requests
from multiprocessing import Process, Manager
host_url = os.getenv("ROS_HOSTNAME", "localhost")
api = Fl... | false | true |
1c0ed1385b7c9ce69af708b5ad66dec3b940d93e | 2,871 | py | Python | python/leetcode/008_string_to_integer.py | yxun/Notebook | 680ae89a32d3f7d4fdcd541e66cea97e29efbd26 | [
"Apache-2.0"
] | 1 | 2021-10-04T13:26:32.000Z | 2021-10-04T13:26:32.000Z | python/leetcode/008_string_to_integer.py | yxun/Notebook | 680ae89a32d3f7d4fdcd541e66cea97e29efbd26 | [
"Apache-2.0"
] | 3 | 2020-03-24T19:34:42.000Z | 2022-01-21T20:15:39.000Z | python/leetcode/008_string_to_integer.py | yxun/Notebook | 680ae89a32d3f7d4fdcd541e66cea97e29efbd26 | [
"Apache-2.0"
] | 1 | 2021-04-01T20:56:50.000Z | 2021-04-01T20:56:50.000Z | #%%
'''
- String to Integer (atoi)
- https://leetcode.com/problems/string-to-integer-atoi/
- Medium
The function first discards as many whitespace characters as necessary until the first non-whitespace character is found. Then, starting from this character, takes an optional initial plus or minus sign followed by as m... | 31.9 | 294 | 0.631139 |
class S:
def myAtoi(self, str):
str = str.strip()
strNum = 0
if len(str) == 0:
return strNum
positive = True
if str[0] == '+' or str[0] == '-':
if str[0] == '-':
positive = False
str = s... | true | true |
1c0ed13f1d2478e705bfafd6d109e454645ab0fe | 1,313 | py | Python | muvi/core/index.py | MLO-lab/MuVI | 98796ab6deab225adc3add75e20c4b51f842f529 | [
"BSD-3-Clause"
] | 1 | 2022-03-09T18:19:21.000Z | 2022-03-09T18:19:21.000Z | muvi/core/index.py | MLO-lab/MuVI | 98796ab6deab225adc3add75e20c4b51f842f529 | [
"BSD-3-Clause"
] | null | null | null | muvi/core/index.py | MLO-lab/MuVI | 98796ab6deab225adc3add75e20c4b51f842f529 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
def _normalize_index(indexer, index, as_idx=True):
# work with ints, convert at the end
# if single str, get idx and put to list
# TODO: can be an issue if any of the indices is named 'all'..
if isinstance(indexer, str):
if indexer == "all":
indexer = range(len(i... | 35.486486 | 66 | 0.618431 | import numpy as np
def _normalize_index(indexer, index, as_idx=True):
if isinstance(indexer, str):
if indexer == "all":
indexer = range(len(index))
else:
indexer = [index.get_loc(indexer)]
if isinstance(indexer, (np.integer, int)):
indexer = [ind... | true | true |
1c0ed1a3eaf6fe097898c4aeae6f30387b43cf34 | 24,453 | py | Python | GroundedScan/gym_minigrid/minigrid.py | czlwang/groundedSCAN | 3d03ac6de37dde8d22d487dc3cc5a53af188fa2e | [
"MIT"
] | null | null | null | GroundedScan/gym_minigrid/minigrid.py | czlwang/groundedSCAN | 3d03ac6de37dde8d22d487dc3cc5a53af188fa2e | [
"MIT"
] | null | null | null | GroundedScan/gym_minigrid/minigrid.py | czlwang/groundedSCAN | 3d03ac6de37dde8d22d487dc3cc5a53af188fa2e | [
"MIT"
] | null | null | null | import math
import gym
from enum import IntEnum
import numpy as np
from gym import spaces
from gym.utils import seeding
# Size in pixels of a cell in the full-scale human view
CELL_PIXELS = 60
# Map of color names to RGB values
COLORS = {
'red': np.array([128, 0, 0]),
'green': np.array([46, 139, 87]),
'bl... | 30.077491 | 125 | 0.546068 | import math
import gym
from enum import IntEnum
import numpy as np
from gym import spaces
from gym.utils import seeding
CELL_PIXELS = 60
COLORS = {
'red': np.array([128, 0, 0]),
'green': np.array([46, 139, 87]),
'blue': np.array([25, 25, 112]),
'purple': np.array([112, 39, 195]),
'yellow': np.arra... | true | true |
1c0ed22ab99af8d137fd04a99232773b91a5334c | 644 | py | Python | echowebserver/echowebserver.py | marcdurocher/echowebserver | 0a29aa017d7c3f78020445d316f11f9f56d5f98e | [
"MIT"
] | null | null | null | echowebserver/echowebserver.py | marcdurocher/echowebserver | 0a29aa017d7c3f78020445d316f11f9f56d5f98e | [
"MIT"
] | null | null | null | echowebserver/echowebserver.py | marcdurocher/echowebserver | 0a29aa017d7c3f78020445d316f11f9f56d5f98e | [
"MIT"
] | null | null | null | """
EchoWebServer : A HTTP server that echoes POST body requests
__author__ = Marc Durocher
"""
import tornado.ioloop
import tornado.web
import logging
class MainHandler(tornado.web.RequestHandler):
def get(self):
self.write("GET : OK\n")
def post(self):
self.write("POST: OK\n")
lo... | 18.941176 | 60 | 0.656832 | import tornado.ioloop
import tornado.web
import logging
class MainHandler(tornado.web.RequestHandler):
def get(self):
self.write("GET : OK\n")
def post(self):
self.write("POST: OK\n")
logger.info(str(self.request.body))
def make_app():
return tornado.web.Application([
... | true | true |
1c0ed3a81f9f6931daca224a979df706927f54cf | 666 | py | Python | tests/encoders/text/torch_transformers/test_torch_transformers.py | zeta1999/vectorhub | e9b23ac66bd170dd9d6639c3abffde3026d0935e | [
"Apache-2.0"
] | 1 | 2020-11-04T16:02:39.000Z | 2020-11-04T16:02:39.000Z | tests/encoders/text/torch_transformers/test_torch_transformers.py | NanaAkwasiAbayieBoateng/vectorhub | 265933521cf0a3113a47182a30b0037bf163584b | [
"Apache-2.0"
] | null | null | null | tests/encoders/text/torch_transformers/test_torch_transformers.py | NanaAkwasiAbayieBoateng/vectorhub | 265933521cf0a3113a47182a30b0037bf163584b | [
"Apache-2.0"
] | 1 | 2020-12-03T14:31:14.000Z | 2020-12-03T14:31:14.000Z | """
Testing for Transformers with Torch requirement
"""
import pytest
from vectorhub.encoders.text.torch_transformers import Transformer2Vec
MODEL_LIST = [
"bert-base-uncased",
"distilbert-base-uncased",
"facebook/bart-base"
]
@pytest.mark.parametrize("model_name", MODEL_LIST)
def test_torch_transfo... | 27.75 | 70 | 0.737237 | import pytest
from vectorhub.encoders.text.torch_transformers import Transformer2Vec
MODEL_LIST = [
"bert-base-uncased",
"distilbert-base-uncased",
"facebook/bart-base"
]
@pytest.mark.parametrize("model_name", MODEL_LIST)
def test_torch_transformer_encode(model_name):
model = Transformer2Vec(model_n... | true | true |
1c0ed489ac5f25b323662fd048408f1de4045306 | 3,159 | py | Python | pygmm/akkar_sandikkaya_bommer_2014.py | arkottke/pygmm | e3b37ea3f81ffb847e040292c6731e36627ac9aa | [
"MIT"
] | 15 | 2016-03-29T05:01:09.000Z | 2022-02-09T08:26:07.000Z | pygmm/akkar_sandikkaya_bommer_2014.py | arkottke/pygmm | e3b37ea3f81ffb847e040292c6731e36627ac9aa | [
"MIT"
] | 3 | 2016-03-29T05:12:28.000Z | 2017-08-18T21:49:34.000Z | pygmm/akkar_sandikkaya_bommer_2014.py | arkottke/pygmm | e3b37ea3f81ffb847e040292c6731e36627ac9aa | [
"MIT"
] | 13 | 2016-03-29T05:18:39.000Z | 2022-01-26T03:37:08.000Z | # -*- coding: utf-8 -*-
"""Akkar, Sandikkaya, & Bommer (2014, :cite:`akkar14`) model."""
import collections
import numpy as np
from . import model
__author__ = "Albert Kottke"
class AkkarSandikkayaBommer2014(model.GroundMotionModel):
"""Akkar, Sandikkaya, & Bommer (2014, :cite:`akkar14`) model.
The model ... | 30.669903 | 87 | 0.574549 | import collections
import numpy as np
from . import model
__author__ = "Albert Kottke"
class AkkarSandikkayaBommer2014(model.GroundMotionModel):
NAME = "Akkar, Sandikkaya, & Bommer (2014)"
ABBREV = "ASB14"
V_REF = 750.0
COEFF = collections.OrderedDict(
(k, model.load_data_file("a... | true | true |
1c0ed49487f416afac41881644139308f44b8dda | 114 | py | Python | launcher.py | a2mky/boatbot | 3df77c7c76027213dae26a7900a7eaf5e3b4a8dd | [
"MIT"
] | null | null | null | launcher.py | a2mky/boatbot | 3df77c7c76027213dae26a7900a7eaf5e3b4a8dd | [
"MIT"
] | null | null | null | launcher.py | a2mky/boatbot | 3df77c7c76027213dae26a7900a7eaf5e3b4a8dd | [
"MIT"
] | null | null | null | import assets
import sys
try:
message('Starting Boat Bot!')
start()
except:
error('Starting Bot')
sys.exit()
| 11.4 | 30 | 0.701754 | import assets
import sys
try:
message('Starting Boat Bot!')
start()
except:
error('Starting Bot')
sys.exit()
| true | true |
1c0ed55be18bfc1ebfdf9673fbd08d317b50188a | 23,604 | py | Python | src/boilerdaq.py | blakeNaccarato/boilerdaq | bc39074237c42d94c5402327495f05ff662e7a35 | [
"MIT"
] | null | null | null | src/boilerdaq.py | blakeNaccarato/boilerdaq | bc39074237c42d94c5402327495f05ff662e7a35 | [
"MIT"
] | null | null | null | src/boilerdaq.py | blakeNaccarato/boilerdaq | bc39074237c42d94c5402327495f05ff662e7a35 | [
"MIT"
] | null | null | null | """Data acquisition and control of a boiler."""
from __future__ import annotations
import os
from collections import OrderedDict, deque
from csv import DictReader, DictWriter
from datetime import datetime, timedelta
from os.path import splitext
from threading import Thread
from time import sleep
from typing import De... | 28.507246 | 88 | 0.574225 |
from __future__ import annotations
import os
from collections import OrderedDict, deque
from csv import DictReader, DictWriter
from datetime import datetime, timedelta
from os.path import splitext
from threading import Thread
from time import sleep
from typing import Deque, List, NamedTuple, Optional, Tuple
import p... | true | true |
1c0ed6062cfb31e539f30cc98edfe02b576d244f | 11,563 | py | Python | parser/decoder.py | KiroSummer/AMR | 49f4edc9e738ba3409d2d5e45e5e1881d8b338cc | [
"MIT"
] | 2 | 2021-09-09T11:02:18.000Z | 2021-10-04T12:18:16.000Z | parser/decoder.py | KiroSummer/AMR | 49f4edc9e738ba3409d2d5e45e5e1881d8b338cc | [
"MIT"
] | null | null | null | parser/decoder.py | KiroSummer/AMR | 49f4edc9e738ba3409d2d5e45e5e1881d8b338cc | [
"MIT"
] | null | null | null | import torch
from torch import nn
import torch.nn.functional as F
from torch.nn import Parameter
from parser.data import NIL, PAD
from parser.utils import compute_f_by_tensor
from parser.transformer import MultiheadAttention, Transformer, TiedTransformer
from parser.utils import label_smoothed_nll_loss
class ArcGene... | 47.780992 | 120 | 0.610655 | import torch
from torch import nn
import torch.nn.functional as F
from torch.nn import Parameter
from parser.data import NIL, PAD
from parser.utils import compute_f_by_tensor
from parser.transformer import MultiheadAttention, Transformer, TiedTransformer
from parser.utils import label_smoothed_nll_loss
class ArcGene... | true | true |
1c0ed6d04bbdafb9df77a48c283aebb6117fc8e1 | 1,115 | py | Python | test/utils/test_getitem.py | beyucel/gpytorch | a5394937495756945b831d83035349579d8fac31 | [
"MIT"
] | 2 | 2019-04-19T00:35:49.000Z | 2019-04-19T02:51:49.000Z | test/utils/test_getitem.py | beyucel/gpytorch | a5394937495756945b831d83035349579d8fac31 | [
"MIT"
] | null | null | null | test/utils/test_getitem.py | beyucel/gpytorch | a5394937495756945b831d83035349579d8fac31 | [
"MIT"
] | 1 | 2019-05-10T17:52:39.000Z | 2019-05-10T17:52:39.000Z | #!/usr/bin/env python3
import torch
import unittest
from itertools import product
from gpytorch.utils.getitem import _compute_getitem_size, _convert_indices_to_tensors
class TestGetitem(unittest.TestCase):
def test_compute_getitem_size(self):
a = torch.tensor(0.).expand(5, 5, 5, 5, 5)
for indice... | 35.967742 | 97 | 0.6287 |
import torch
import unittest
from itertools import product
from gpytorch.utils.getitem import _compute_getitem_size, _convert_indices_to_tensors
class TestGetitem(unittest.TestCase):
def test_compute_getitem_size(self):
a = torch.tensor(0.).expand(5, 5, 5, 5, 5)
for indices in product(
... | true | true |
1c0ed6dd032c47d4892dc5b85220212a2934a039 | 13,428 | py | Python | cogs/calculators.py | zedchance/blues_bot.py | ab2183739f04d927865d12a7f3d1c79c5fa62c8e | [
"MIT"
] | 5 | 2020-01-05T18:53:20.000Z | 2022-03-19T13:01:24.000Z | cogs/calculators.py | zedchance/blues_bot.py | ab2183739f04d927865d12a7f3d1c79c5fa62c8e | [
"MIT"
] | 22 | 2019-10-27T00:56:30.000Z | 2021-07-13T16:42:24.000Z | cogs/calculators.py | zedchance/blues_bot.py | ab2183739f04d927865d12a7f3d1c79c5fa62c8e | [
"MIT"
] | 11 | 2020-01-05T18:53:22.000Z | 2022-03-30T22:20:13.000Z | import discord
from discord.ext import commands
from calcs.agility import Agility
from calcs.alchemy import Alchemy
from calcs.experience import next_level_string
from calcs.pickpocket import Pickpocket
from calcs.tasks import Tasks
from calcs.wines import Wines
from calcs.wintertodt import Wintertodt
from calcs.zeah ... | 55.259259 | 116 | 0.550268 | import discord
from discord.ext import commands
from calcs.agility import Agility
from calcs.alchemy import Alchemy
from calcs.experience import next_level_string
from calcs.pickpocket import Pickpocket
from calcs.tasks import Tasks
from calcs.wines import Wines
from calcs.wintertodt import Wintertodt
from calcs.zeah ... | true | true |
1c0ed6eafcb110b7a280a9576e603e7394d02d79 | 1,880 | py | Python | electrum/plot.py | sugarchain-dev/electrum-sugar | 5c70bfa883950bb501625916a888618792cd635b | [
"MIT"
] | 3 | 2019-09-13T12:49:22.000Z | 2021-03-15T22:12:11.000Z | electrum/plot.py | sugarchain-dev/electrum-sugar | 5c70bfa883950bb501625916a888618792cd635b | [
"MIT"
] | 4 | 2019-09-13T12:07:33.000Z | 2020-05-05T09:36:37.000Z | electrum/plot.py | sugarchain-dev/electrum-sugar | 5c70bfa883950bb501625916a888618792cd635b | [
"MIT"
] | 4 | 2019-09-16T04:30:09.000Z | 2020-04-24T08:34:02.000Z | import datetime
from collections import defaultdict
import matplotlib
matplotlib.use('Qt5Agg')
import matplotlib.pyplot as plt
import matplotlib.dates as md
from .i18n import _
from .bitcoin import COIN
class NothingToPlotException(Exception):
def __str__(self):
return _("Nothing to plot.")
def plot_h... | 29.375 | 76 | 0.634043 | import datetime
from collections import defaultdict
import matplotlib
matplotlib.use('Qt5Agg')
import matplotlib.pyplot as plt
import matplotlib.dates as md
from .i18n import _
from .bitcoin import COIN
class NothingToPlotException(Exception):
def __str__(self):
return _("Nothing to plot.")
def plot_h... | true | true |
1c0ed732b51192fb755836e74859f42e1f6da4e2 | 22,581 | py | Python | misc/python/materialize/mzcompose/services.py | necaris/materialize | 71bf985d6b8b974abce46841ce638aaef4a08d0f | [
"MIT"
] | null | null | null | misc/python/materialize/mzcompose/services.py | necaris/materialize | 71bf985d6b8b974abce46841ce638aaef4a08d0f | [
"MIT"
] | null | null | null | misc/python/materialize/mzcompose/services.py | necaris/materialize | 71bf985d6b8b974abce46841ce638aaef4a08d0f | [
"MIT"
] | null | null | null | # Copyright Materialize, Inc. and contributors. All rights reserved.
#
# Use of this software is governed by the Business Source License
# included in the LICENSE file at the root of this repository.
#
# As of the Change Date specified in that file, in accordance with
# the Business Source License, use of this software... | 32.773585 | 138 | 0.543111 |
import os
import random
from typing import Dict, List, Optional, Tuple, Union
from materialize.mzcompose import Service, ServiceConfig
DEFAULT_CONFLUENT_PLATFORM_VERSION = "7.0.3"
DEFAULT_DEBEZIUM_VERSION = "1.9"
LINT_DEBEZIUM_VERSIONS = ["1.4", "1.5", "1.6"]
DEFAULT_MZ_VOLUMES = [
"mzdata:/mzdata",
"pgdata... | true | true |
1c0ed77761974fb3ecb754c7e230bcf2fa02772e | 2,035 | py | Python | pyvotca/parsers/parser.py | gtirimbo/PyVOTCA | fc73e73943c7913d3b22906dbf892d6da56ea87b | [
"Apache-2.0"
] | 1 | 2021-05-07T03:27:31.000Z | 2021-05-07T03:27:31.000Z | pyvotca/parsers/parser.py | gtirimbo/PyVOTCA | fc73e73943c7913d3b22906dbf892d6da56ea87b | [
"Apache-2.0"
] | 28 | 2021-01-21T12:17:54.000Z | 2021-02-26T10:55:14.000Z | pyvotca/parsers/parser.py | gtirimbo/PyVOTCA | fc73e73943c7913d3b22906dbf892d6da56ea87b | [
"Apache-2.0"
] | 1 | 2021-02-01T08:18:25.000Z | 2021-02-01T08:18:25.000Z | """General utilities to parse both input/out files."""
__all__ = ['any_char', 'integer', 'natural', 'parse_file', 'parse_section',
'skipany_char', 'skip_line', 'skip_supress', 'try_search_pattern']
import re
from pathlib import Path
from typing import Optional as Optional_
from typing import Union
from ... | 28.263889 | 88 | 0.627027 |
__all__ = ['any_char', 'integer', 'natural', 'parse_file', 'parse_section',
'skipany_char', 'skip_line', 'skip_supress', 'try_search_pattern']
import re
from pathlib import Path
from typing import Optional as Optional_
from typing import Union
from pyparsing import (Combine, Literal, Optional,
... | true | true |
1c0ed97d20aab17b0480523faf7c2b49f03a6e4b | 692 | py | Python | WebMirror/management/rss_parser_funcs/feed_parse_extractWwwWownovelCom.py | fake-name/ReadableWebProxy | ed5c7abe38706acc2684a1e6cd80242a03c5f010 | [
"BSD-3-Clause"
] | 193 | 2016-08-02T22:04:35.000Z | 2022-03-09T20:45:41.000Z | WebMirror/management/rss_parser_funcs/feed_parse_extractWwwWownovelCom.py | fake-name/ReadableWebProxy | ed5c7abe38706acc2684a1e6cd80242a03c5f010 | [
"BSD-3-Clause"
] | 533 | 2016-08-23T20:48:23.000Z | 2022-03-28T15:55:13.000Z | WebMirror/management/rss_parser_funcs/feed_parse_extractWwwWownovelCom.py | rrosajp/ReadableWebProxy | ed5c7abe38706acc2684a1e6cd80242a03c5f010 | [
"BSD-3-Clause"
] | 19 | 2015-08-13T18:01:08.000Z | 2021-07-12T17:13:09.000Z | def extractWwwWownovelCom(item):
'''
Parser for 'www.wownovel.com'
'''
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol) or "preview" in item['title'].lower():
return None
tagmap = [
('i work hard every day to make my husband bankrupt', 'I Work Hard Every Da... | 32.952381 | 150 | 0.624277 | def extractWwwWownovelCom(item):
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol) or "preview" in item['title'].lower():
return None
tagmap = [
('i work hard every day to make my husband bankrupt', 'I Work Hard Every Day To Make My Husband Bankrupt', ... | true | true |
1c0ed9ccc2fc29ef493a8cefda40921f1d397153 | 35,233 | py | Python | src/models/rnn_with_chunk_sw_tagger.py | tchayintr/thwcc-attn | 4ee38365eb338e82bf455f46ff5fe7c59fb7a975 | [
"MIT"
] | 4 | 2021-11-23T14:52:38.000Z | 2022-02-19T08:29:44.000Z | src/models/rnn_with_chunk_sw_tagger.py | tchayintr/thwcc-attn | 4ee38365eb338e82bf455f46ff5fe7c59fb7a975 | [
"MIT"
] | null | null | null | src/models/rnn_with_chunk_sw_tagger.py | tchayintr/thwcc-attn | 4ee38365eb338e82bf455f46ff5fe7c59fb7a975 | [
"MIT"
] | 1 | 2022-02-17T04:17:29.000Z | 2022-02-17T04:17:29.000Z | from allennlp.modules.conditional_random_field import ConditionalRandomField
from allennlp.nn.util import get_mask_from_sequence_lengths
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils.rnn import pad_sequence
import sys
import constants
import models.util
from... | 40.544304 | 104 | 0.520166 | from allennlp.modules.conditional_random_field import ConditionalRandomField
from allennlp.nn.util import get_mask_from_sequence_lengths
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils.rnn import pad_sequence
import sys
import constants
import models.util
from... | true | true |
1c0edd3f5fa7c22fdda41d01f7161f9874bcf1eb | 120 | py | Python | dit_helpdesk/countries/migrations/__init__.py | uktrade/dit-helpdesk | f5127daa46e920d33ec3f0b982136b65bba0353a | [
"MIT"
] | 3 | 2019-10-24T10:39:38.000Z | 2021-07-13T11:46:18.000Z | dit_helpdesk/countries/migrations/__init__.py | uktrade/dit-helpdesk | f5127daa46e920d33ec3f0b982136b65bba0353a | [
"MIT"
] | 20 | 2020-01-22T11:16:24.000Z | 2022-02-02T10:38:54.000Z | dit_helpdesk/countries/migrations/__init__.py | uktrade/dit-helpdesk | f5127daa46e920d33ec3f0b982136b65bba0353a | [
"MIT"
] | null | null | null | import os
MIGRATIONS_DIR = os.path.dirname(os.path.realpath(__file__))
DATA_DIR = os.path.join(MIGRATIONS_DIR, "data")
| 24 | 60 | 0.775 | import os
MIGRATIONS_DIR = os.path.dirname(os.path.realpath(__file__))
DATA_DIR = os.path.join(MIGRATIONS_DIR, "data")
| true | true |
1c0edecbd0cbad2630a1c0c270e535bcce83cebe | 1,549 | py | Python | VisionEngine/utils/eval.py | ietheredge/VisionEngine | 271c8dcaef6eb574e9047fca436d7b13cab75d3b | [
"MIT"
] | 4 | 2020-09-29T14:17:25.000Z | 2022-03-05T18:04:33.000Z | VisionEngine/utils/eval.py | ietheredge/VisionEngine | 271c8dcaef6eb574e9047fca436d7b13cab75d3b | [
"MIT"
] | null | null | null | VisionEngine/utils/eval.py | ietheredge/VisionEngine | 271c8dcaef6eb574e9047fca436d7b13cab75d3b | [
"MIT"
] | 1 | 2022-03-07T17:38:30.000Z | 2022-03-07T17:38:30.000Z | import tensorflow as tf
import math
def embed_images(x, model):
outputs = [
model.model.get_layer("variational_layer").output,
model.model.get_layer("variational_layer_1").output,
model.model.get_layer("variational_layer_2").output,
model.model.get_layer("variational_layer_3").outp... | 31.612245 | 74 | 0.671401 | import tensorflow as tf
import math
def embed_images(x, model):
outputs = [
model.model.get_layer("variational_layer").output,
model.model.get_layer("variational_layer_1").output,
model.model.get_layer("variational_layer_2").output,
model.model.get_layer("variational_layer_3").outp... | true | true |
1c0edfb477cb804a4f45421359ba3c018ed1c58e | 9,567 | py | Python | annotater/memetext/api_views.py | stricoff92/annotater | 8ca471477e2d567945e14f09d3d763d379e7587e | [
"MIT"
] | null | null | null | annotater/memetext/api_views.py | stricoff92/annotater | 8ca471477e2d567945e14f09d3d763d379e7587e | [
"MIT"
] | null | null | null | annotater/memetext/api_views.py | stricoff92/annotater | 8ca471477e2d567945e14f09d3d763d379e7587e | [
"MIT"
] | null | null | null |
import datetime as dt
from io import BytesIO
import json
import random
from django.conf import settings
from django.utils import timezone
from django.shortcuts import get_object_or_404
from django.db.models import Q
from rest_framework import status
from rest_framework.response import Response
from rest_framework.dec... | 33.451049 | 97 | 0.687572 |
import datetime as dt
from io import BytesIO
import json
import random
from django.conf import settings
from django.utils import timezone
from django.shortcuts import get_object_or_404
from django.db.models import Q
from rest_framework import status
from rest_framework.response import Response
from rest_framework.dec... | true | true |
1c0edfe17a3b3bde2661afe9aa20dc16fcb45c06 | 10,737 | py | Python | editing files/Portable Python 3.2.5.1/App/Lib/site-packages/IPython/frontend/qt/console/history_console_widget.py | mattl1598/testing | cd8124773b83a07301c507ffbb9ccaafbfe7a274 | [
"Unlicense"
] | null | null | null | editing files/Portable Python 3.2.5.1/App/Lib/site-packages/IPython/frontend/qt/console/history_console_widget.py | mattl1598/testing | cd8124773b83a07301c507ffbb9ccaafbfe7a274 | [
"Unlicense"
] | 1 | 2018-04-15T22:59:15.000Z | 2018-04-15T22:59:15.000Z | editing files/Portable Python 3.2.5.1/App/Lib/site-packages/IPython/frontend/qt/console/history_console_widget.py | mattl1598/Project-Mochachino | cd8124773b83a07301c507ffbb9ccaafbfe7a274 | [
"Unlicense"
] | null | null | null | # System library imports
from IPython.external.qt import QtGui
# Local imports
from IPython.utils.traitlets import Bool
from .console_widget import ConsoleWidget
class HistoryConsoleWidget(ConsoleWidget):
""" A ConsoleWidget that keeps a history of the commands that have been
executed and provides a read... | 37.806338 | 92 | 0.543727 | from IPython.external.qt import QtGui
from IPython.utils.traitlets import Bool
from .console_widget import ConsoleWidget
class HistoryConsoleWidget(ConsoleWidget):
history_lock = Bool(False, config=True)
def __init__(self, *args, **kw):
super(HistoryConsoleWidget, self... | true | true |
1c0ee006249c96dbbd5cbc869cd0d616ea3037d9 | 1,440 | py | Python | back/newdjangosite/wsgi.py | kbarnes3/BaseDjangoAngular | d30d4e9aa7c55e3aa51ce87aa3a0921a5f4dae43 | [
"BSD-2-Clause"
] | 1 | 2022-03-15T11:51:12.000Z | 2022-03-15T11:51:12.000Z | back/newdjangosite/wsgi.py | kbarnes3/BaseDjangoAngular | d30d4e9aa7c55e3aa51ce87aa3a0921a5f4dae43 | [
"BSD-2-Clause"
] | 10 | 2019-10-07T17:29:11.000Z | 2022-03-25T17:38:54.000Z | back/newdjangosite/wsgi.py | kbarnes3/BaseDjangoAngular | d30d4e9aa7c55e3aa51ce87aa3a0921a5f4dae43 | [
"BSD-2-Clause"
] | null | null | null | """
WSGI config for newdjangosite project.
This module contains the WSGI application used by Django's development server
and any production WSGI deployments. It should expose a module-level variable
named ``application``. Django's ``runserver`` and ``runfcgi`` commands discover
this application via the ``WSGI_APPLICAT... | 43.636364 | 79 | 0.805556 | import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "newdjangosite.settings")
# setting points here.
application = get_wsgi_application()
# Apply WSGI middleware here.
# from helloworld.wsgi import HelloWorldApplication
# application = HelloWorldApplication(app... | true | true |
1c0ee044745681eb65dc9a54df9b07747a14bf7a | 177 | py | Python | packages/proteus.models.retinanet/proteus/models/retinanet/__init__.py | PieterBlomme/proteus | d467be25b20f0e3e3f69e81588f08f0dda436d49 | [
"MIT"
] | 8 | 2021-02-02T20:39:27.000Z | 2022-02-12T07:42:06.000Z | packages/proteus.models.retinanet/proteus/models/retinanet/__init__.py | PieterBlomme/proteus | d467be25b20f0e3e3f69e81588f08f0dda436d49 | [
"MIT"
] | 1 | 2020-12-29T10:49:58.000Z | 2020-12-29T10:49:58.000Z | packages/proteus.models.retinanet/proteus/models/retinanet/__init__.py | PieterBlomme/proteus | d467be25b20f0e3e3f69e81588f08f0dda436d49 | [
"MIT"
] | null | null | null | __author__ = """Pieter Blomme"""
__email__ = "pieter.blomme@gmail.com"
__version__ = "0.0.1"
from .client import RetinaNet
model_dict = {
RetinaNet.__name__: RetinaNet,
}
| 17.7 | 37 | 0.711864 | __author__ = """Pieter Blomme"""
__email__ = "pieter.blomme@gmail.com"
__version__ = "0.0.1"
from .client import RetinaNet
model_dict = {
RetinaNet.__name__: RetinaNet,
}
| true | true |
1c0ee25dc20679d202f62962c760de13df6f5f44 | 88 | py | Python | 0/listas.py | iarielduarte/Python | 871cdaf287a583baad7c88e274e09821396d0bbb | [
"CNRI-Python"
] | null | null | null | 0/listas.py | iarielduarte/Python | 871cdaf287a583baad7c88e274e09821396d0bbb | [
"CNRI-Python"
] | null | null | null | 0/listas.py | iarielduarte/Python | 871cdaf287a583baad7c88e274e09821396d0bbb | [
"CNRI-Python"
] | null | null | null | agenda = ["Ariel Duarte","3624249010","Echeverria 950","Resistencia"]
print(agenda[1])
| 22 | 69 | 0.715909 | agenda = ["Ariel Duarte","3624249010","Echeverria 950","Resistencia"]
print(agenda[1])
| true | true |
1c0ee3d0a148755607792e31be0fef13ef464b1c | 1,063 | py | Python | task_14_analyse_co_actors.py | Yogeshwarathe/IMDB-Movies | abf73baab086c4e99bb34988b34f5d7ac03e6069 | [
"MIT"
] | 4 | 2019-03-03T06:08:31.000Z | 2019-03-03T06:11:38.000Z | task_14_analyse_co_actors.py | Yogeshwarathe/IMDB-Movies | abf73baab086c4e99bb34988b34f5d7ac03e6069 | [
"MIT"
] | null | null | null | task_14_analyse_co_actors.py | Yogeshwarathe/IMDB-Movies | abf73baab086c4e99bb34988b34f5d7ac03e6069 | [
"MIT"
] | 1 | 2019-05-27T01:52:27.000Z | 2019-05-27T01:52:27.000Z | import json
from pprint import pprint
with open('scrape_movie_cast_details.json','r') as new_file:
data=json.load(new_file)
# pprint(data)
coman_id = []
all_actor_dict = []
for i in data:
a = i["cast"][0:5]
all_actor_dict.append(a)
for j in a:
if j["imdb_id"] not in coman_id:
coman_id.append(j["imdb_id"])
big... | 21.26 | 72 | 0.624647 | import json
from pprint import pprint
with open('scrape_movie_cast_details.json','r') as new_file:
data=json.load(new_file)
coman_id = []
all_actor_dict = []
for i in data:
a = i["cast"][0:5]
all_actor_dict.append(a)
for j in a:
if j["imdb_id"] not in coman_id:
coman_id.append(j["imdb_id"])
big_dict = {}
for ... | true | true |
1c0ee452f4a8ddb788874d91b96a19ba8886325c | 4,921 | py | Python | mesonbuild/compilers/mixins/clang.py | sigexp/meson | 29ef4478df6d3aaca40c7993f125b29409be1de2 | [
"Apache-2.0"
] | null | null | null | mesonbuild/compilers/mixins/clang.py | sigexp/meson | 29ef4478df6d3aaca40c7993f125b29409be1de2 | [
"Apache-2.0"
] | null | null | null | mesonbuild/compilers/mixins/clang.py | sigexp/meson | 29ef4478df6d3aaca40c7993f125b29409be1de2 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The meson development team
#
# 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 ... | 41.008333 | 107 | 0.644991 |
import os
import shutil
import typing as T
from ... import mesonlib
from ...linkers import AppleDynamicLinker
from .gnu import GnuLikeCompiler
if T.TYPE_CHECKING:
from ...environment import Environment
from ...dependencies import Dependency
clang_color_args = {
'auto': ['-Xclang', '-fcolor-diagnostics... | true | true |
1c0ee489c13c6bd1e1808ab6f47f5ad04cb246f3 | 1,646 | py | Python | wordmarker/loaders/yaml_resource_loader.py | lostblackknight/wordmarker | cbdfd6b6d5ae8c48b11825afcf86afe9f7386a48 | [
"MIT"
] | 2 | 2021-04-19T14:26:24.000Z | 2021-05-01T14:59:20.000Z | wordmarker/loaders/yaml_resource_loader.py | lostblackknight/wordmarker | cbdfd6b6d5ae8c48b11825afcf86afe9f7386a48 | [
"MIT"
] | null | null | null | wordmarker/loaders/yaml_resource_loader.py | lostblackknight/wordmarker | cbdfd6b6d5ae8c48b11825afcf86afe9f7386a48 | [
"MIT"
] | null | null | null | import yaml
from wordmarker.data import Resource
from wordmarker.loaders import DefaultResourceLoader
from wordmarker.utils import log
class YamlResourceLoader(DefaultResourceLoader):
"""
::
yaml文件的资源加载器
"""
@log
def __init__(self):
super().__init__()
def load(self, resource... | 29.927273 | 95 | 0.515188 | import yaml
from wordmarker.data import Resource
from wordmarker.loaders import DefaultResourceLoader
from wordmarker.utils import log
class YamlResourceLoader(DefaultResourceLoader):
@log
def __init__(self):
super().__init__()
def load(self, resource: Resource):
if resource.exists():
... | true | true |
1c0ee5420232136e97390ca64d482485849c81ad | 9,110 | py | Python | detectron2/modeling/box_regression.py | PedroUria/detectron2 | 53d838d1528c3511838a1a3b35c642291e0df495 | [
"Apache-2.0"
] | 780 | 2021-03-01T08:04:08.000Z | 2022-03-30T04:29:17.000Z | detectron2/modeling/box_regression.py | PedroUria/detectron2 | 53d838d1528c3511838a1a3b35c642291e0df495 | [
"Apache-2.0"
] | 89 | 2021-03-05T01:22:18.000Z | 2022-03-30T19:28:33.000Z | detectron2/modeling/box_regression.py | PedroUria/detectron2 | 53d838d1528c3511838a1a3b35c642291e0df495 | [
"Apache-2.0"
] | 119 | 2021-03-04T07:30:41.000Z | 2022-03-31T11:32:22.000Z | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import math
from typing import Tuple
import torch
# Value for clamping large dw and dh predictions. The heuristic is that we clamp
# such that dw and dh are no larger than what would transform a 16px box into a
# 1000px box (based on a small anchor... | 41.036036 | 99 | 0.598793 | import math
from typing import Tuple
import torch
_DEFAULT_SCALE_CLAMP = math.log(1000.0 / 16)
__all__ = ["Box2BoxTransform", "Box2BoxTransformRotated"]
@torch.jit.script
class Box2BoxTransform(object):
def __init__(
self, weights: Tuple[float, float, float, float], scale_clamp: float = _DEFAULT_SCALE... | true | true |
1c0ee6f0493a2d8632d69b60b898d4128ac36e7d | 405 | py | Python | planning_poker/wsgi.py | mattiaslundberg/planning_poker | 9020539e8a23a99ca0d87d6e5146ec0032fa798e | [
"MIT"
] | null | null | null | planning_poker/wsgi.py | mattiaslundberg/planning_poker | 9020539e8a23a99ca0d87d6e5146ec0032fa798e | [
"MIT"
] | null | null | null | planning_poker/wsgi.py | mattiaslundberg/planning_poker | 9020539e8a23a99ca0d87d6e5146ec0032fa798e | [
"MIT"
] | null | null | null | """
WSGI config for planning_poker project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANG... | 23.823529 | 78 | 0.792593 |
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "planning_poker.settings")
application = get_wsgi_application()
| true | true |
1c0ee7af56716605eedeab8789a72e7052cc2fe2 | 25,159 | py | Python | spyder/config/main.py | virajkanwade/spyder | fee3df9d922f4ff66103218f54bc41d99e2fae53 | [
"MIT"
] | null | null | null | spyder/config/main.py | virajkanwade/spyder | fee3df9d922f4ff66103218f54bc41d99e2fae53 | [
"MIT"
] | null | null | null | spyder/config/main.py | virajkanwade/spyder | fee3df9d922f4ff66103218f54bc41d99e2fae53 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright © Spyder Project Contributors
# Licensed under the terms of the MIT License
# (see spyder/__init__.py for details)
"""
Spyder configuration options.
Note: Leave this file free of Qt related imports, so that it can be used to
quickly load a user config file.
"""
impo... | 39.99841 | 99 | 0.468103 |
import os
import sys
from spyder.config.base import CHECK_ALL, EXCLUDED_NAMES
from spyder.config.fonts import MEDIUM, SANS_SERIF
from spyder.config.utils import IMPORT_EXT
from spyder.config.appearance import APPEARANCE
from spyder.plugins.editor.utils.findtasks import TASKS_PATTERN
from spyder.utils.intro... | true | true |
1c0ee7bdfc68cb35c06e7fbcc97b1fd0a699bb3d | 3,725 | py | Python | multi_task/metrics.py | mengzaiqiao/MultiObjectiveOptimization | 7085638b3918506836118f88fed8bb2f8994a499 | [
"MIT"
] | null | null | null | multi_task/metrics.py | mengzaiqiao/MultiObjectiveOptimization | 7085638b3918506836118f88fed8bb2f8994a499 | [
"MIT"
] | null | null | null | multi_task/metrics.py | mengzaiqiao/MultiObjectiveOptimization | 7085638b3918506836118f88fed8bb2f8994a499 | [
"MIT"
] | 1 | 2021-05-03T04:11:40.000Z | 2021-05-03T04:11:40.000Z | # Adapted from: https://github.com/meetshah1995/pytorch-semseg/blob/master/ptsemseg/metrics.py
from losses import l1_loss_instance
import numpy as np
class RunningMetric(object):
def __init__(self, metric_type, n_classes =None):
self._metric_type = metric_type
if metric_type == 'ACC':
... | 40.934066 | 156 | 0.566174 |
from losses import l1_loss_instance
import numpy as np
class RunningMetric(object):
def __init__(self, metric_type, n_classes =None):
self._metric_type = metric_type
if metric_type == 'ACC':
self.accuracy = 0.0
self.num_updates = 0.0
if metric_type == 'L1':
... | true | true |
1c0ee81b442401ef98dbf8e899748ba0cdc26fad | 431 | py | Python | Leetcode/Sorting,_Binary_Search/1_-_Easy/1370._Increasing_Decreasing_String.py | Khalid-Sultan/Algorithms-Prep | 7773c5bc0448d8677bf324bd1d9bdc43b813fcd5 | [
"MIT"
] | 1 | 2020-09-21T10:01:26.000Z | 2020-09-21T10:01:26.000Z | Leetcode/Sorting,_Binary_Search/1_-_Easy/1370._Increasing_Decreasing_String.py | Khalid-Sultan/Algorithms-Prep | 7773c5bc0448d8677bf324bd1d9bdc43b813fcd5 | [
"MIT"
] | null | null | null | Leetcode/Sorting,_Binary_Search/1_-_Easy/1370._Increasing_Decreasing_String.py | Khalid-Sultan/Algorithms-Prep | 7773c5bc0448d8677bf324bd1d9bdc43b813fcd5 | [
"MIT"
] | 2 | 2020-09-01T12:33:55.000Z | 2020-11-30T13:23:50.000Z | class Solution:
def sortString(self, s: str) -> str:
l = []
c = [0] * 26
asc = True
for i in s:
c[ord(i)-97]+=1
while len(l)<len(s):
for i in range(26):
i = i if asc else 25-i
if c[i]>0:
l.append(chr(... | 26.9375 | 40 | 0.336427 | class Solution:
def sortString(self, s: str) -> str:
l = []
c = [0] * 26
asc = True
for i in s:
c[ord(i)-97]+=1
while len(l)<len(s):
for i in range(26):
i = i if asc else 25-i
if c[i]>0:
l.append(chr(... | true | true |
1c0ee865ff84919e274658dd04d5030bbc2657c1 | 11,219 | py | Python | senteval/examples/all.py | wasiahmad/community_question_answering | 73d13bc1cdf2ea66d13209c007dcc2767cf2155c | [
"MIT"
] | 11 | 2018-10-04T04:37:03.000Z | 2020-02-19T15:59:51.000Z | senteval/examples/all.py | wasiahmad/community_question_answering | 73d13bc1cdf2ea66d13209c007dcc2767cf2155c | [
"MIT"
] | 1 | 2020-04-02T09:49:57.000Z | 2020-04-02T13:44:56.000Z | senteval/examples/all.py | wasiahmad/community_question_answering | 73d13bc1cdf2ea66d13209c007dcc2767cf2155c | [
"MIT"
] | 8 | 2018-10-08T06:52:32.000Z | 2020-04-18T03:49:14.000Z | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
"""
InferSent models. See https://github.com/facebookresearch/InferSent.
"""
from __future__ import absolute_import, division,... | 40.067857 | 119 | 0.588288 |
from __future__ import absolute_import, division, unicode_literals
import sys
import os
import torch
import logging
import torch.nn as nn
import numpy as np
from sent2vec import Sent2VecSingle, Sent2Vec
from gensen import GenSen, GenSenSingle
from elmo import ELMo
class All2Vec(nn.Module):
def __init__(self,... | true | true |
1c0ee9a08dea3a2380ec4aed906b5bfc14232296 | 577 | py | Python | scripts/access_token.py | kamauvick/daraja-test | b2a3e35b217a6e6790ac68e96321aee9fea19686 | [
"MIT"
] | 3 | 2020-01-25T06:22:09.000Z | 2020-02-19T07:54:42.000Z | scripts/access_token.py | kamauvick/daraja-test | b2a3e35b217a6e6790ac68e96321aee9fea19686 | [
"MIT"
] | 10 | 2020-01-23T15:10:56.000Z | 2022-03-12T00:12:33.000Z | scripts/access_token.py | kamauvick/daraja-test | b2a3e35b217a6e6790ac68e96321aee9fea19686 | [
"MIT"
] | 2 | 2020-08-27T11:48:04.000Z | 2022-01-04T15:19:09.000Z | import requests
from requests.auth import HTTPBasicAuth
from scripts.keys import *
#Generate an access_token
def generate_access_token():
api_URL = "https://sandbox.safaricom.co.ke/oauth/v1/generate?grant_type=client_credentials"
try:
r = requests.get(api_URL, auth=HTTPBasicAuth(
consumer_... | 28.85 | 95 | 0.720971 | import requests
from requests.auth import HTTPBasicAuth
from scripts.keys import *
def generate_access_token():
api_URL = "https://sandbox.safaricom.co.ke/oauth/v1/generate?grant_type=client_credentials"
try:
r = requests.get(api_URL, auth=HTTPBasicAuth(
consumer_key, consumer_secret))
... | true | true |
1c0eeb6c1254bd4bb7d5c11f4c66c683f6c6517f | 633 | py | Python | fei_webhook/manage.py | colingong/fei_webhook | 2acb8b8e36d05f87f06dcc1bf056beb92a41b157 | [
"Apache-2.0"
] | null | null | null | fei_webhook/manage.py | colingong/fei_webhook | 2acb8b8e36d05f87f06dcc1bf056beb92a41b157 | [
"Apache-2.0"
] | 6 | 2021-03-19T09:41:23.000Z | 2022-02-10T11:13:35.000Z | fei_webhook/manage.py | colingong/fei_webhook | 2acb8b8e36d05f87f06dcc1bf056beb92a41b157 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'main_settings.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ... | 28.772727 | 77 | 0.685624 | import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'main_settings.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's installed and "
... | true | true |
1c0eebe84b3c29b27f65187a8354d2d917444c41 | 2,274 | py | Python | src/poliastro/core/propagation/markley.py | DhruvJ22/poliastro | ac5fafc6d054b2c545e111e5a6aa32259998074a | [
"MIT"
] | 8 | 2015-05-09T17:21:57.000Z | 2020-01-28T06:59:18.000Z | src/poliastro/core/propagation/markley.py | DhruvJ22/poliastro | ac5fafc6d054b2c545e111e5a6aa32259998074a | [
"MIT"
] | 4 | 2015-12-29T13:08:01.000Z | 2019-12-27T12:58:04.000Z | src/poliastro/core/propagation/markley.py | DhruvJ22/poliastro | ac5fafc6d054b2c545e111e5a6aa32259998074a | [
"MIT"
] | 1 | 2016-10-05T08:34:44.000Z | 2016-10-05T08:34:44.000Z | import numpy as np
from numba import njit as jit
from poliastro.core.angles import (
E_to_M,
E_to_nu,
_kepler_equation,
_kepler_equation_prime,
nu_to_E,
)
from poliastro.core.elements import coe2rv, rv2coe
@jit
def markley_coe(k, p, ecc, inc, raan, argp, nu, tof):
M0 = E_to_M(nu_to_E(nu, ecc... | 23.6875 | 83 | 0.538698 | import numpy as np
from numba import njit as jit
from poliastro.core.angles import (
E_to_M,
E_to_nu,
_kepler_equation,
_kepler_equation_prime,
nu_to_E,
)
from poliastro.core.elements import coe2rv, rv2coe
@jit
def markley_coe(k, p, ecc, inc, raan, argp, nu, tof):
M0 = E_to_M(nu_to_E(nu, ecc... | true | true |
1c0eebe92032d20a1bc47e59189f2b3dbb51399c | 9,572 | py | Python | tests/test_subjects/test_subject.py | MichaelSchneeberger/RxPY | 994f974d37783f63c5d9e018a316fa9b06ba9337 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | tests/test_subjects/test_subject.py | MichaelSchneeberger/RxPY | 994f974d37783f63c5d9e018a316fa9b06ba9337 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | tests/test_subjects/test_subject.py | MichaelSchneeberger/RxPY | 994f974d37783f63c5d9e018a316fa9b06ba9337 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | import rx
from rx.core import Observable, AnonymousObserver
from rx.testing import TestScheduler, ReactiveTest
from rx.subjects import Subject
on_next = ReactiveTest.on_next
on_completed = ReactiveTest.on_completed
on_error = ReactiveTest.on_error
subscribe = ReactiveTest.subscribe
subscribed = ReactiveTest.subscribe... | 26.662953 | 85 | 0.65117 | import rx
from rx.core import Observable, AnonymousObserver
from rx.testing import TestScheduler, ReactiveTest
from rx.subjects import Subject
on_next = ReactiveTest.on_next
on_completed = ReactiveTest.on_completed
on_error = ReactiveTest.on_error
subscribe = ReactiveTest.subscribe
subscribed = ReactiveTest.subscribe... | true | true |
1c0eecf37b90cd99cb9410786e3a34d1d478a721 | 4,859 | py | Python | DonkiDirector/InfoServer.py | ess-dmsc/do-ess-data-simulator | 37ef0d87ad0152b092e3a636ef8d080db0711aaa | [
"BSD-2-Clause"
] | null | null | null | DonkiDirector/InfoServer.py | ess-dmsc/do-ess-data-simulator | 37ef0d87ad0152b092e3a636ef8d080db0711aaa | [
"BSD-2-Clause"
] | null | null | null | DonkiDirector/InfoServer.py | ess-dmsc/do-ess-data-simulator | 37ef0d87ad0152b092e3a636ef8d080db0711aaa | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
import sys
import os
import time
import threading
import thread
import signal
from socket import *
import types
from tinydb import TinyDB, Query, where
import traceback
import select
#
class infoServerThread(threading.Thread):
#----------------------------------------------------... | 36.533835 | 85 | 0.389586 | import sys
import os
import time
import threading
import thread
import signal
from socket import *
import types
from tinydb import TinyDB, Query, where
import traceback
import select
class infoServerThread(threading.Thread):
def __init__(self, Port, tinydb_file_path="./db.json", notif_function = Non... | false | true |
1c0eecff5690e1b195ebbf5750b7e20f1ad70178 | 23,221 | py | Python | lib/rucio/api/did.py | llwang00/rucio | f49c5c9599e147823110dc6da22a0bc33a881f8e | [
"Apache-2.0"
] | null | null | null | lib/rucio/api/did.py | llwang00/rucio | f49c5c9599e147823110dc6da22a0bc33a881f8e | [
"Apache-2.0"
] | null | null | null | lib/rucio/api/did.py | llwang00/rucio | f49c5c9599e147823110dc6da22a0bc33a881f8e | [
"Apache-2.0"
] | null | null | null | '''
Copyright European Organization for Nuclear Research (CERN)
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
Authors:
- Vincent Garonne, ... | 35.506116 | 169 | 0.665734 |
from __future__ import print_function
from copy import deepcopy
import rucio.api.permission
from rucio.core import did, naming_convention, meta as meta_core
from rucio.core.rse import get_rse_id
from rucio.common.constants import RESERVED_KEYS
from rucio.common.exception import RucioException
from rucio.common.sche... | true | true |
1c0eeeb946cee788fa038851a7602a368d108f84 | 26,130 | py | Python | python/ray/tune/trainable.py | vermashresth/ray | 9aaaa508cacb90a5be714478970b2191aaa43170 | [
"Apache-2.0"
] | null | null | null | python/ray/tune/trainable.py | vermashresth/ray | 9aaaa508cacb90a5be714478970b2191aaa43170 | [
"Apache-2.0"
] | null | null | null | python/ray/tune/trainable.py | vermashresth/ray | 9aaaa508cacb90a5be714478970b2191aaa43170 | [
"Apache-2.0"
] | null | null | null | from datetime import datetime
import copy
import io
import logging
import glob
import os
import pickle
import pandas as pd
from six import string_types
import shutil
import tempfile
import time
import uuid
import ray
from ray.tune.logger import UnifiedLogger
from ray.tune.result import (DEFAULT_RESULTS_DIR, TIME_THIS... | 37.328571 | 79 | 0.624876 | from datetime import datetime
import copy
import io
import logging
import glob
import os
import pickle
import pandas as pd
from six import string_types
import shutil
import tempfile
import time
import uuid
import ray
from ray.tune.logger import UnifiedLogger
from ray.tune.result import (DEFAULT_RESULTS_DIR, TIME_THIS... | true | true |
1c0eef947eeda3f384875a967d951096b5cbd31f | 4,364 | py | Python | bokeh/application/handlers/function.py | kevin1kevin1k/bokeh | 9f34b5b710e2748ec803c12918ec1706098a3477 | [
"BSD-3-Clause"
] | 445 | 2019-01-26T13:50:26.000Z | 2022-03-18T05:17:38.000Z | bokeh/application/handlers/function.py | kevin1kevin1k/bokeh | 9f34b5b710e2748ec803c12918ec1706098a3477 | [
"BSD-3-Clause"
] | 242 | 2019-01-29T15:48:27.000Z | 2022-03-31T22:09:21.000Z | bokeh/application/handlers/function.py | kevin1kevin1k/bokeh | 9f34b5b710e2748ec803c12918ec1706098a3477 | [
"BSD-3-Clause"
] | 31 | 2019-03-10T09:51:27.000Z | 2022-02-14T23:11:12.000Z | #-----------------------------------------------------------------------------
# Copyright (c) 2012 - 2019, Anaconda, Inc., and Bokeh Contributors.
# All rights reserved.
#
# The full license is in the file LICENSE.txt, distributed with this software.
#-------------------------------------------------------------------... | 30.517483 | 82 | 0.440651 |
from __future__ import absolute_import, division, print_function, unicode_literals
import logging
log = logging.getLogger(__name__)
from ...util.callback_manager import _check_callback
from .handler import Handler
__all__ = (
'FunctionHandler',
)
class FunctionHandler(Handler):
def __init__(self, fu... | true | true |
1c0ef0349d077bcf96cbfa802df2f9e192c23fba | 12,817 | py | Python | teuthology/task/hadoop.py | varshar16/teuthology | 321319b12ea4ff9b63c7655015a3156de2c3b279 | [
"MIT"
] | 6 | 2016-05-06T07:24:18.000Z | 2020-07-29T10:02:54.000Z | teuthology/task/hadoop.py | varshar16/teuthology | 321319b12ea4ff9b63c7655015a3156de2c3b279 | [
"MIT"
] | 167 | 2016-07-01T10:57:11.000Z | 2020-04-14T10:24:50.000Z | teuthology/task/hadoop.py | varshar16/teuthology | 321319b12ea4ff9b63c7655015a3156de2c3b279 | [
"MIT"
] | 6 | 2015-07-10T15:51:35.000Z | 2019-04-24T14:58:41.000Z | from io import StringIO
import contextlib
import logging
from teuthology import misc as teuthology
from teuthology import contextutil
from teuthology.orchestra import run
from teuthology.exceptions import UnsupportedPackageTypeError
log = logging.getLogger(__name__)
HADOOP_2x_URL = "https://archive.apache.org/dist/ha... | 30.157647 | 94 | 0.535617 | from io import StringIO
import contextlib
import logging
from teuthology import misc as teuthology
from teuthology import contextutil
from teuthology.orchestra import run
from teuthology.exceptions import UnsupportedPackageTypeError
log = logging.getLogger(__name__)
HADOOP_2x_URL = "https://archive.apache.org/dist/ha... | true | true |
1c0ef10b97b5f334b7a86a634a441bb277a67bd9 | 2,933 | py | Python | tests/gold_tests/runroot/runroot_use.test.py | cpaasch/trafficserver | 350c360073e1e7aabff3618b7063859431e9e4fb | [
"Apache-2.0"
] | null | null | null | tests/gold_tests/runroot/runroot_use.test.py | cpaasch/trafficserver | 350c360073e1e7aabff3618b7063859431e9e4fb | [
"Apache-2.0"
] | null | null | null | tests/gold_tests/runroot/runroot_use.test.py | cpaasch/trafficserver | 350c360073e1e7aabff3618b7063859431e9e4fb | [
"Apache-2.0"
] | null | null | null | '''
'''
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License");... | 43.132353 | 117 | 0.749062 |
import os
import sys
import time
Test.Summary = '''
Test for using of runroot from traffic_layout.
'''
Test.ContinueOnFail = True
Test.SkipUnless(Test.Variables.BINDIR.startswith(Test.Variables.PREFIX),
"need to guarantee bin path starts with prefix for runroot")
path = os.path.join(Test.RunDirectory... | true | true |
1c0ef15a219724dd2361783cc0e313b6e02123b2 | 3,062 | py | Python | Scene.py | BrentLittle/CISC_499_Undergrad_Project | c2951b846e101eb93c7ae22950ae537a619bf2e8 | [
"MIT"
] | 1 | 2021-07-27T22:41:06.000Z | 2021-07-27T22:41:06.000Z | Scene.py | BrentLittle/CISC499_Wifi | c2951b846e101eb93c7ae22950ae537a619bf2e8 | [
"MIT"
] | null | null | null | Scene.py | BrentLittle/CISC499_Wifi | c2951b846e101eb93c7ae22950ae537a619bf2e8 | [
"MIT"
] | 1 | 2021-07-27T23:44:16.000Z | 2021-07-27T23:44:16.000Z | from AgentRouter import AgentRouter
from FixedRouter import FixedRouter
from Device import Device
from State import State
import random
class Scene():
def __init__(self, columns, rows, isStatic):
self.fixedRouters = []
self.agentRouters = []
self.devices = []
self.state = None
... | 26.626087 | 103 | 0.583279 | from AgentRouter import AgentRouter
from FixedRouter import FixedRouter
from Device import Device
from State import State
import random
class Scene():
def __init__(self, columns, rows, isStatic):
self.fixedRouters = []
self.agentRouters = []
self.devices = []
self.state = None
... | true | true |
1c0ef166962d58e9ef2128235023936f042633bc | 1,541 | py | Python | sharepoint/lists/attachments.py | clerik/python-sharepoint | f1a1e19189d78115fcfc25850d27319e34d7e699 | [
"BSD-3-Clause"
] | 1 | 2019-06-10T23:58:09.000Z | 2019-06-10T23:58:09.000Z | sharepoint/lists/attachments.py | SG-Gank/python-sharepoint | f1a1e19189d78115fcfc25850d27319e34d7e699 | [
"BSD-3-Clause"
] | 1 | 2020-02-11T11:46:32.000Z | 2020-02-11T11:46:32.000Z | sharepoint/lists/attachments.py | SG-Gank/python-sharepoint | f1a1e19189d78115fcfc25850d27319e34d7e699 | [
"BSD-3-Clause"
] | 1 | 2021-04-22T21:58:17.000Z | 2021-04-22T21:58:17.000Z | from sharepoint.xml import namespaces, SP
from sharepoint.lists.definitions import LIST_WEBSERVICE
class SharePointAttachments(object):
def __init__(self, opener, list_id, row_id):
self.opener = opener
self.list_id, self.row_id = list_id, row_id
def __iter__(self):
"""
Returns... | 30.82 | 105 | 0.656716 | from sharepoint.xml import namespaces, SP
from sharepoint.lists.definitions import LIST_WEBSERVICE
class SharePointAttachments(object):
def __init__(self, opener, list_id, row_id):
self.opener = opener
self.list_id, self.row_id = list_id, row_id
def __iter__(self):
xml = SP.GetAttachm... | true | true |
1c0ef24040a3501cb89d2fd4b53778f53589a0d3 | 99,020 | py | Python | tensorflow/python/ops/parallel_for/pfor.py | oldgeeksguide/tensorflow | 519487fb313a31701fd31e67c0ceb6eae8ea9225 | [
"Apache-2.0"
] | 1 | 2019-02-20T14:19:56.000Z | 2019-02-20T14:19:56.000Z | tensorflow/python/ops/parallel_for/pfor.py | Computing-Intelligence/tensorflow | 64b76357c5e9869e461575dbbad38914a8a922dd | [
"Apache-2.0"
] | null | null | null | tensorflow/python/ops/parallel_for/pfor.py | Computing-Intelligence/tensorflow | 64b76357c5e9869e461575dbbad38914a8a922dd | [
"Apache-2.0"
] | 1 | 2019-02-20T14:19:59.000Z | 2019-02-20T14:19:59.000Z | # Copyright 2018 The TensorFlow Authors. 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 applica... | 39.847082 | 80 | 0.699525 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
from absl import flags
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python... | true | true |
1c0ef387df8b26378064d12ad2cde099a6aa8fcc | 1,365 | py | Python | Source Codes/Assignment1/test_transformations.py | amir-souri/ML-Exam2020 | 8feb614ce8171c2c8e88b0fa385db8b679b68748 | [
"MIT"
] | null | null | null | Source Codes/Assignment1/test_transformations.py | amir-souri/ML-Exam2020 | 8feb614ce8171c2c8e88b0fa385db8b679b68748 | [
"MIT"
] | null | null | null | Source Codes/Assignment1/test_transformations.py | amir-souri/ML-Exam2020 | 8feb614ce8171c2c8e88b0fa385db8b679b68748 | [
"MIT"
] | null | null | null | import cv2
from transformations import *
import random as rand
import os
img_laa = cv2.imread('inputs/laa_laa.jpg')
t, s, r = translating(21, 21), scaling(2, 2), rotating(45)
r2, t2, s2 = rotating(20), translating(7, 7), scaling(.5, .5)
com_tsr = combine(s, t, r)
com_rts = combine(r2, t2, s2)
tsr = transform_image(im... | 30.333333 | 78 | 0.647619 | import cv2
from transformations import *
import random as rand
import os
img_laa = cv2.imread('inputs/laa_laa.jpg')
t, s, r = translating(21, 21), scaling(2, 2), rotating(45)
r2, t2, s2 = rotating(20), translating(7, 7), scaling(.5, .5)
com_tsr = combine(s, t, r)
com_rts = combine(r2, t2, s2)
tsr = transform_image(im... | true | true |
1c0ef3cd3d40b210d663e653b38c4c3aae7eaa05 | 4,971 | py | Python | common/utils.py | gan3sh500/keras-YOLOv3-model-set | 1a1108c52073c01c130618dc68607f455adadf28 | [
"MIT"
] | null | null | null | common/utils.py | gan3sh500/keras-YOLOv3-model-set | 1a1108c52073c01c130618dc68607f455adadf28 | [
"MIT"
] | null | null | null | common/utils.py | gan3sh500/keras-YOLOv3-model-set | 1a1108c52073c01c130618dc68607f455adadf28 | [
"MIT"
] | 2 | 2020-07-07T16:30:59.000Z | 2020-10-05T06:07:22.000Z | #!/usr/bin/python3
# -*- coding=utf-8 -*-
"""Miscellaneous utility functions."""
from PIL import Image
import numpy as np
import os, cv2, colorsys
from matplotlib.colors import rgb_to_hsv, hsv_to_rgb
from common.backbones.efficientnet import swish
from common.backbones.mobilenet_v3 import hard_sigmoid, hard_swish
from... | 32.92053 | 153 | 0.638101 |
from PIL import Image
import numpy as np
import os, cv2, colorsys
from matplotlib.colors import rgb_to_hsv, hsv_to_rgb
from common.backbones.efficientnet import swish
from common.backbones.mobilenet_v3 import hard_sigmoid, hard_swish
from yolo4.models.layers import mish
import tensorflow as tf
def optimize_tf_gpu(tf... | true | true |
1c0ef3ef5dd12ea20dfd5770c9f58cd504d0bba3 | 21,079 | py | Python | edward2/tensorflow/initializers.py | arahosu/edward2 | 4a8ed9f5b1dac0190867c48e816168f9f28b5129 | [
"Apache-2.0"
] | 1 | 2022-01-05T12:26:05.000Z | 2022-01-05T12:26:05.000Z | edward2/tensorflow/initializers.py | kthakore/edward2 | 6fd50d4b9351616c3cd8b5e9224d118ba48c935f | [
"Apache-2.0"
] | null | null | null | edward2/tensorflow/initializers.py | kthakore/edward2 | 6fd50d4b9351616c3cd8b5e9224d118ba48c935f | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2019 The Edward2 Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 33.672524 | 80 | 0.675696 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
from edward2.tensorflow import constraints
from edward2.tensorflow import generated_random_variables
from edward2.tensorflow import regularizers
import six
import tensorflow.compat.v1 as tf1
impo... | true | true |
1c0ef5f42af54b752bf0e53303410e54f7dd4c5a | 691 | py | Python | setup.py | devopsconsulting/vdt.versionplugin.wheel | c7fb1b0994646af84ebed772cdb44fe3fa8154ba | [
"BSD-3-Clause"
] | 1 | 2016-04-29T10:46:34.000Z | 2016-04-29T10:46:34.000Z | setup.py | devopsconsulting/vdt.versionplugin.wheel | c7fb1b0994646af84ebed772cdb44fe3fa8154ba | [
"BSD-3-Clause"
] | null | null | null | setup.py | devopsconsulting/vdt.versionplugin.wheel | c7fb1b0994646af84ebed772cdb44fe3fa8154ba | [
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
from setuptools import find_packages, setup
pkgname = "vdt.versionplugin.wheel"
setup(
name=pkgname,
version="0.0.7",
description="vdt.version plugin for building python wheels.",
author="Lars van de Kerkhof",
author_email="lars@devopsconsulting.nl",
maintainer="Lars van de Ker... | 24.678571 | 65 | 0.649783 | from setuptools import find_packages, setup
pkgname = "vdt.versionplugin.wheel"
setup(
name=pkgname,
version="0.0.7",
description="vdt.version plugin for building python wheels.",
author="Lars van de Kerkhof",
author_email="lars@devopsconsulting.nl",
maintainer="Lars van de Kerkhof",
maint... | true | true |
1c0ef605599eee5218f8dcdc68c73bf93d0caccc | 1,541 | py | Python | cyder/cydhcp/site/tests.py | drkitty/cyder | 1babc443cc03aa51fa3c1015bcd22f0ea2e5f0f8 | [
"BSD-3-Clause"
] | 6 | 2015-04-16T23:18:22.000Z | 2020-08-25T22:50:13.000Z | cyder/cydhcp/site/tests.py | drkitty/cyder | 1babc443cc03aa51fa3c1015bcd22f0ea2e5f0f8 | [
"BSD-3-Clause"
] | 267 | 2015-01-01T00:18:57.000Z | 2015-10-14T00:01:13.000Z | cyder/cydhcp/site/tests.py | drkitty/cyder | 1babc443cc03aa51fa3c1015bcd22f0ea2e5f0f8 | [
"BSD-3-Clause"
] | 5 | 2015-03-23T00:57:09.000Z | 2019-09-09T22:42:37.000Z | from cyder.base.tests import ModelTestMixin, TestCase
from cyder.cydhcp.site.models import Site
from cyder.cydhcp.network.models import Network
class SiteTests(TestCase, ModelTestMixin):
@property
def objs(self):
"""Create objects for test_create_delete."""
return (
Site.objects.cr... | 38.525 | 78 | 0.621025 | from cyder.base.tests import ModelTestMixin, TestCase
from cyder.cydhcp.site.models import Site
from cyder.cydhcp.network.models import Network
class SiteTests(TestCase, ModelTestMixin):
@property
def objs(self):
return (
Site.objects.create(name='a'),
Site.objects.create(name=... | true | true |
1c0ef620851ecfccb6fb384e94c805ad72b0897a | 11,747 | py | Python | gasPriceApi.py | werlang/Gas-Station-BinanceSmartChain | 4462dfcae2407d4785e333bdc88b0486e1095896 | [
"MIT"
] | null | null | null | gasPriceApi.py | werlang/Gas-Station-BinanceSmartChain | 4462dfcae2407d4785e333bdc88b0486e1095896 | [
"MIT"
] | null | null | null | gasPriceApi.py | werlang/Gas-Station-BinanceSmartChain | 4462dfcae2407d4785e333bdc88b0486e1095896 | [
"MIT"
] | null | null | null | import time
import sys
import json
import math
import traceback
import os
import pandas as pd
import numpy as np
from web3 import Web3, HTTPProvider
from web3.middleware import geth_poa_middleware
## newly added packages for api
import click
import logging
from threading import Thread
from sanic import Sanic, response
... | 36.033742 | 143 | 0.626713 | import time
import sys
import json
import math
import traceback
import os
import pandas as pd
import numpy as np
from web3 import Web3, HTTPProvider
from web3.middleware import geth_poa_middleware
import click
import logging
from threading import Thread
from sanic import Sanic, response
from retry import retry
web3 = ... | true | true |
1c0ef68cff4cce367124d16f0eeab62f922d07f2 | 17,618 | py | Python | ansible/contrib/inventory/digital_ocean.py | dyim42/dfw-meetup-20160312 | a99a34e7fce99ba9d57cace2bb32b8a9f974fa9c | [
"BSD-2-Clause"
] | null | null | null | ansible/contrib/inventory/digital_ocean.py | dyim42/dfw-meetup-20160312 | a99a34e7fce99ba9d57cace2bb32b8a9f974fa9c | [
"BSD-2-Clause"
] | null | null | null | ansible/contrib/inventory/digital_ocean.py | dyim42/dfw-meetup-20160312 | a99a34e7fce99ba9d57cace2bb32b8a9f974fa9c | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
'''
DigitalOcean external inventory script
======================================
Generates Ansible inventory of DigitalOcean Droplets.
In addition to the --list and --host options used by Ansible, there are options
for generating JSON of other DigitalOcean data. This is useful when creating
d... | 38.806167 | 132 | 0.590022 |
import os
import sys
import re
import argparse
from time import time
import ConfigParser
try:
import json
except ImportError:
import simplejson as json
try:
from dopy.manager import DoError, DoManager
except ImportError as e:
print("failed=True msg='`dopy` library required for this script'")
s... | true | true |
1c0ef6b632521f9642ba9b6af0c00bf6d6e115bf | 405 | py | Python | electrum/plugins/keepkey/cmdline.py | zcoinofficial/electrum | 5fdc234f817aed1d7d4bcd894fafd99972423314 | [
"MIT"
] | 23 | 2018-02-19T16:59:23.000Z | 2020-09-10T16:58:44.000Z | electrum/plugins/keepkey/cmdline.py | zcoinofficial/electrum | 5fdc234f817aed1d7d4bcd894fafd99972423314 | [
"MIT"
] | 37 | 2018-03-04T11:59:44.000Z | 2020-09-27T19:58:21.000Z | electrum/plugins/keepkey/cmdline.py | zcoinofficial/electrum | 5fdc234f817aed1d7d4bcd894fafd99972423314 | [
"MIT"
] | 12 | 2018-02-20T01:37:48.000Z | 2020-08-06T06:18:42.000Z | from electrum_xzc.plugin import hook
from .keepkey import KeepKeyPlugin
from ..hw_wallet import CmdLineHandler
class Plugin(KeepKeyPlugin):
handler = CmdLineHandler()
@hook
def init_keystore(self, keystore):
if not isinstance(keystore, self.keystore_class):
return
keystore.handl... | 27 | 57 | 0.71358 | from electrum_xzc.plugin import hook
from .keepkey import KeepKeyPlugin
from ..hw_wallet import CmdLineHandler
class Plugin(KeepKeyPlugin):
handler = CmdLineHandler()
@hook
def init_keystore(self, keystore):
if not isinstance(keystore, self.keystore_class):
return
keystore.handl... | true | true |
1c0ef6ef5ee81a9c82ad9097ff08cf37cef68301 | 1,523 | py | Python | ch05/titanic.py | handcraftsman/TreeBasedMachineLearningAlgorithms | 694124045c41b67417bcf8c750d26c25678bc209 | [
"Apache-2.0"
] | 11 | 2017-09-10T18:07:40.000Z | 2022-02-04T11:27:47.000Z | ch05/titanic.py | handcraftsman/TreeBasedMachineLearningAlgorithms | 694124045c41b67417bcf8c750d26c25678bc209 | [
"Apache-2.0"
] | null | null | null | ch05/titanic.py | handcraftsman/TreeBasedMachineLearningAlgorithms | 694124045c41b67417bcf8c750d26c25678bc209 | [
"Apache-2.0"
] | 8 | 2018-11-20T12:16:41.000Z | 2022-02-18T08:06:26.000Z | # File: titanic.py
# from chapter 5 of _Tree-based Machine Learning Algorithms_
#
# Author: Clinton Sheppard <fluentcoder@gmail.com>
# Copyright (c) 2017 Clinton Sheppard
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# You may o... | 38.075 | 91 | 0.717663 |
from forest import Forest
from forest import Benchmark
import dtree
import random
continuousColumns = ['PassengerId', 'Pclass', 'Age', 'SibSp', 'Parch', 'Fare']
data = dtree.read_csv('train.csv')
data = dtree.prepare_data(data, continuousColumns)
outcomeLabel = 'Survived'
columnsToIgnore = ['PassengerId', 'Name', 'T... | true | true |
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