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f7548cf37397caaf93f53914ca51b12b3d41949e | 880 | py | Python | views/console_dialogue_view.py | Catsuko/Westward | 3c04df668f7e04ca45e622017ffa9dfe6d3c242c | [
"MIT"
] | 3 | 2019-12-22T22:44:43.000Z | 2020-02-11T11:14:10.000Z | views/console_dialogue_view.py | Catsuko/Westward | 3c04df668f7e04ca45e622017ffa9dfe6d3c242c | [
"MIT"
] | null | null | null | views/console_dialogue_view.py | Catsuko/Westward | 3c04df668f7e04ca45e622017ffa9dfe6d3c242c | [
"MIT"
] | null | null | null | class ConsoleDialogueView:
def __init__(self, speaker="", message=""):
self.speaker = speaker
self.message = message
def render(self):
self.__print_message()
input()
return self
def render_with_choice(self, options):
if len(options) == 0:
raise ... | 28.387097 | 68 | 0.617045 | class ConsoleDialogueView:
def __init__(self, speaker="", message=""):
self.speaker = speaker
self.message = message
def render(self):
self.__print_message()
input()
return self
def render_with_choice(self, options):
if len(options) == 0:
raise ... | true | true |
f7548decf8a96e24cd04228a0e8e9419257f1ec8 | 664 | py | Python | WebMirror/management/rss_parser_funcs/feed_parse_extractRydeniustranslationsBlogspotCom.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_extractRydeniustranslationsBlogspotCom.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_extractRydeniustranslationsBlogspotCom.py | rrosajp/ReadableWebProxy | ed5c7abe38706acc2684a1e6cd80242a03c5f010 | [
"BSD-3-Clause"
] | 19 | 2015-08-13T18:01:08.000Z | 2021-07-12T17:13:09.000Z | def extractRydeniustranslationsBlogspotCom(item):
'''
Parser for 'rydeniustranslations.blogspot.com'
'''
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol) or "preview" in item['title'].lower():
return None
urlfrag = [
('/vrmmo-summoner-hajimemashita-chapter-', 'V... | 31.619048 | 104 | 0.692771 | def extractRydeniustranslationsBlogspotCom(item):
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol) or "preview" in item['title'].lower():
return None
urlfrag = [
('/vrmmo-summoner-hajimemashita-chapter-', 'VRMMO Summoner Hajimemashita', 'translated'),
('/mari... | true | true |
f7548df972e228df83bd8d10ed1a712c29ffa757 | 2,399 | py | Python | pyspeckit/spectrum/speclines/optical.py | glangsto/pyspeckit | 346b24fb828d1d33c7891cdde7609723e51af34c | [
"MIT"
] | 79 | 2015-03-03T15:06:20.000Z | 2022-03-27T21:29:47.000Z | pyspeckit/spectrum/speclines/optical.py | glangsto/pyspeckit | 346b24fb828d1d33c7891cdde7609723e51af34c | [
"MIT"
] | 240 | 2015-01-04T02:59:12.000Z | 2021-11-13T15:11:14.000Z | pyspeckit/spectrum/speclines/optical.py | glangsto/pyspeckit | 346b24fb828d1d33c7891cdde7609723e51af34c | [
"MIT"
] | 68 | 2015-03-02T12:23:12.000Z | 2022-02-28T10:26:36.000Z | """
Storage for optical spectral line information.
"""
from __future__ import print_function
import numpy as np
def hydrogen(nu,nl, vacuum=True):
"""
Compute the rest wavelength of Hydrogen recombination lines in angstroms
"""
rydberg = 10973731.6 # m^-1
protontoelectron = 1836.15266 # ratio
... | 32.863014 | 97 | 0.570238 | from __future__ import print_function
import numpy as np
def hydrogen(nu,nl, vacuum=True):
rydberg = 10973731.6
protontoelectron = 1836.15266
lvac = 1.0/rydberg * 1./(1/float(nl)**2 - 1/float(nu)**2) * 1e10 * (1.0+1.0/protontoelectron)
if not vacuum:
import ref_index
return ref_ind... | true | true |
f7548e05813854e29a31ebc87eb440f139cb12b6 | 1,105 | py | Python | test/vanilla/Expected/AcceptanceTests/BodyComplex/bodycomplex/models/cat.py | iscai-msft/autorest.python | a9f38dd762fbc046ce6197bfabea2f56045d2957 | [
"MIT"
] | null | null | null | test/vanilla/Expected/AcceptanceTests/BodyComplex/bodycomplex/models/cat.py | iscai-msft/autorest.python | a9f38dd762fbc046ce6197bfabea2f56045d2957 | [
"MIT"
] | null | null | null | test/vanilla/Expected/AcceptanceTests/BodyComplex/bodycomplex/models/cat.py | iscai-msft/autorest.python | a9f38dd762fbc046ce6197bfabea2f56045d2957 | [
"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 ... | 28.333333 | 76 | 0.510407 |
from .pet import Pet
class Cat(Pet):
_attribute_map = {
'id': {'key': 'id', 'type': 'int'},
'name': {'key': 'name', 'type': 'str'},
'color': {'key': 'color', 'type': 'str'},
'hates': {'key': 'hates', 'type': '[Dog]'},
}
def __init__(self, **kwargs):
sup... | true | true |
f7548e51c4fa64b6290f782bac3ee9172b0407ca | 10,381 | py | Python | wafer/settings.py | andrewshadura/wafer | 64a6fac9ca4456a386a27e1bc71d233bdc35d1a6 | [
"ISC"
] | null | null | null | wafer/settings.py | andrewshadura/wafer | 64a6fac9ca4456a386a27e1bc71d233bdc35d1a6 | [
"ISC"
] | null | null | null | wafer/settings.py | andrewshadura/wafer | 64a6fac9ca4456a386a27e1bc71d233bdc35d1a6 | [
"ISC"
] | null | null | null | import os
from django.utils.translation import ugettext_lazy as _
try:
from localsettings import *
except ImportError:
pass
# Django settings for wafer project.
ADMINS = (
# The logging config below mails admins
# ('Your Name', 'your_email@example.com'),
)
DATABASES = {
'default': {
'EN... | 31.268072 | 85 | 0.692515 | import os
from django.utils.translation import ugettext_lazy as _
try:
from localsettings import *
except ImportError:
pass
ADMINS = (
)
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': 'wafer.db',
}
}
if os.environ.get('TESTDB', None) == 'postg... | true | true |
f7548ea23132f68d4db048b1a671ed3a00235bc1 | 3,954 | py | Python | lir/ece.py | bartbroere/lir | 041f1cea40366937d56c43bb15712873eb3e8a0a | [
"Apache-2.0"
] | null | null | null | lir/ece.py | bartbroere/lir | 041f1cea40366937d56c43bb15712873eb3e8a0a | [
"Apache-2.0"
] | null | null | null | lir/ece.py | bartbroere/lir | 041f1cea40366937d56c43bb15712873eb3e8a0a | [
"Apache-2.0"
] | null | null | null | """
Empirical Cross Entrpy (ECE)
The discrimination and calibration of the LRs reported by some systems can also
be measured separately. The empirical cross entropy (ECE) plot is a graphical
way of doing this.
The ECE is the average of -P(Hp) * log2(P(Hp|LRi)) for all LRi when Hp is true,
and -P(Hd) * log2(P(Hd|LRi))... | 37.301887 | 132 | 0.685382 | import matplotlib.pyplot as plt
import numpy as np
from .calibration import IsotonicCalibrator
from . import util
def plot(lrs, y, log_prior_odds_range=None, on_screen=False, path=None, kw_figure={}):
if log_prior_odds_range is None:
log_prior_odds_range = (-3, 3)
log_prior_odds = np.arange(*log_pri... | true | true |
f7548f21939e30893c91535133014cd7619fa8b3 | 565 | py | Python | ampel/model/operator/AllOf.py | AmpelProject/Ampel-base | e344e4be31f3c009084cbf285693c77389cafae8 | [
"BSD-3-Clause"
] | 1 | 2019-11-21T11:44:04.000Z | 2019-11-21T11:44:04.000Z | ampel/model/operator/AllOf.py | AmpelProject/Ampel-base | e344e4be31f3c009084cbf285693c77389cafae8 | [
"BSD-3-Clause"
] | 1 | 2019-03-25T19:24:09.000Z | 2019-03-25T19:24:09.000Z | ampel/model/operator/AllOf.py | AmpelProject/Ampel-base | e344e4be31f3c009084cbf285693c77389cafae8 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# File: Ampel-interface/ampel/model/operator/AllOf.py
# License: BSD-3-Clause
# Author: valery brinnel <firstname.lastname@gmail.com>
# Date: 15.10.2018
# Last Modified Date: 18.03.2021
# Last Modified By: valery br... | 31.388889 | 68 | 0.677876 |
from typing import Generic
from ampel.types import T
from ampel.base.AmpelGenericModel import AmpelGenericModel
class AllOf(AmpelGenericModel, Generic[T]):
all_of: list[T]
| true | true |
f7548f951cfa557e6c30a59015ebb3236fe199ff | 3,676 | py | Python | tickit/adapters/interpreters/command/command_interpreter.py | dls-controls/tickit | 00bb013e69674bcfe4926f365ecb3c65c080abe8 | [
"Apache-2.0"
] | 4 | 2021-09-16T13:35:33.000Z | 2022-02-01T23:35:53.000Z | tickit/adapters/interpreters/command/command_interpreter.py | dls-controls/tickit | 00bb013e69674bcfe4926f365ecb3c65c080abe8 | [
"Apache-2.0"
] | 46 | 2021-09-16T13:44:58.000Z | 2022-02-02T13:42:56.000Z | tickit/adapters/interpreters/command/command_interpreter.py | dls-controls/tickit | 00bb013e69674bcfe4926f365ecb3c65c080abe8 | [
"Apache-2.0"
] | null | null | null | from abc import abstractmethod
from inspect import getmembers
from typing import AnyStr, AsyncIterable, Optional, Sequence, Tuple
from tickit.core.adapter import Adapter, Interpreter
from tickit.utils.compat.typing_compat import Protocol, runtime_checkable
@runtime_checkable
class Command(Protocol):
"""An interf... | 37.131313 | 88 | 0.657236 | from abc import abstractmethod
from inspect import getmembers
from typing import AnyStr, AsyncIterable, Optional, Sequence, Tuple
from tickit.core.adapter import Adapter, Interpreter
from tickit.utils.compat.typing_compat import Protocol, runtime_checkable
@runtime_checkable
class Command(Protocol):
interr... | true | true |
f7548fc14ac9a342adfdfe3d8a0d268c75ea2320 | 84 | py | Python | Bronze/Bronze_V/14652.py | masterTyper/baekjoon_solved_ac | b9ce14d9bdaa5b5b06735ad075fb827de9f44b9c | [
"MIT"
] | null | null | null | Bronze/Bronze_V/14652.py | masterTyper/baekjoon_solved_ac | b9ce14d9bdaa5b5b06735ad075fb827de9f44b9c | [
"MIT"
] | null | null | null | Bronze/Bronze_V/14652.py | masterTyper/baekjoon_solved_ac | b9ce14d9bdaa5b5b06735ad075fb827de9f44b9c | [
"MIT"
] | null | null | null | N, M, K = map(int, input().split())
down = K // M
right = K % M
print(down, right) | 14 | 35 | 0.547619 | N, M, K = map(int, input().split())
down = K // M
right = K % M
print(down, right) | true | true |
f75491a67f37fcfca279c55f9158ad0207b307ec | 3,668 | py | Python | strawberryfields/circuitspecs/gbs.py | mpofukelvintafadzwa/strawberryfields | b7deb70929ea10995f2dd1c52d69b1db50bd6149 | [
"Apache-2.0"
] | 1 | 2020-07-12T17:53:56.000Z | 2020-07-12T17:53:56.000Z | strawberryfields/circuitspecs/gbs.py | mpofukelvintafadzwa/strawberryfields | b7deb70929ea10995f2dd1c52d69b1db50bd6149 | [
"Apache-2.0"
] | null | null | null | strawberryfields/circuitspecs/gbs.py | mpofukelvintafadzwa/strawberryfields | b7deb70929ea10995f2dd1c52d69b1db50bd6149 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Xanadu Quantum Technologies Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agre... | 34.603774 | 95 | 0.636859 |
from strawberryfields.program_utils import CircuitError, Command, group_operations
import strawberryfields.ops as ops
from .gaussian import GaussianSpecs
class GBSSpecs(GaussianSpecs):
short_name = 'gbs'
primitives = {
"All",
"_New_modes",
"_Delete",
... | true | true |
f7549283d2d863814da13be74c686671f2b667a1 | 7,543 | py | Python | mmpose/datasets/datasets/top_down/topdown_onehand10k_dataset.py | woffett/mmpose | cf8cbf49759e745896b70ce69d412518568af33b | [
"Apache-2.0"
] | null | null | null | mmpose/datasets/datasets/top_down/topdown_onehand10k_dataset.py | woffett/mmpose | cf8cbf49759e745896b70ce69d412518568af33b | [
"Apache-2.0"
] | null | null | null | mmpose/datasets/datasets/top_down/topdown_onehand10k_dataset.py | woffett/mmpose | cf8cbf49759e745896b70ce69d412518568af33b | [
"Apache-2.0"
] | null | null | null | import copy as cp
import os
import os.path as osp
from collections import OrderedDict
import json_tricks as json
import numpy as np
from mmpose.datasets.builder import DATASETS
from .topdown_base_dataset import TopDownBaseDataset
@DATASETS.register_module()
class TopDownOneHand10KDataset(TopDownBaseDataset):
""... | 32.235043 | 78 | 0.542357 | import copy as cp
import os
import os.path as osp
from collections import OrderedDict
import json_tricks as json
import numpy as np
from mmpose.datasets.builder import DATASETS
from .topdown_base_dataset import TopDownBaseDataset
@DATASETS.register_module()
class TopDownOneHand10KDataset(TopDownBaseDataset):
d... | true | true |
f75493064823a72c6f4883bd631fc55c5afecbff | 2,868 | py | Python | Unsplash_webscrapping.py | HayetBD/Text-to-image | 7ead7e03bb8ee42f457281bc250cd88161fb5dcd | [
"MIT"
] | null | null | null | Unsplash_webscrapping.py | HayetBD/Text-to-image | 7ead7e03bb8ee42f457281bc250cd88161fb5dcd | [
"MIT"
] | null | null | null | Unsplash_webscrapping.py | HayetBD/Text-to-image | 7ead7e03bb8ee42f457281bc250cd88161fb5dcd | [
"MIT"
] | null | null | null | import time
import pandas as pd
from selenium import webdriver
# Scrapping images and their caption from unsplash website
# saving these images url and captions into a csv file
WEBSITE = 'http://unsplash.com/s/photos/landscape-forest-mountain'
columns = ['description', 'url']
imageset = pd.DataFrame(columns ... | 40.971429 | 120 | 0.665969 | import time
import pandas as pd
from selenium import webdriver
WEBSITE = 'http://unsplash.com/s/photos/landscape-forest-mountain'
columns = ['description', 'url']
imageset = pd.DataFrame(columns = columns)
options = webdriver.ChromeOptions()
options.add_argument("--start-maximized")
driver = webdriv... | true | true |
f75493be2dab1e4afc6a83c17df048e489fd7921 | 52,081 | py | Python | pandas/core/dtypes/common.py | mtrbean/pandas | c0ff67a22df9c18da1172766e313732ed2ab6c30 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 2 | 2021-05-15T22:58:42.000Z | 2021-12-08T15:48:59.000Z | pandas/core/dtypes/common.py | mtrbean/pandas | c0ff67a22df9c18da1172766e313732ed2ab6c30 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2019-08-18T16:00:45.000Z | 2019-08-18T16:00:45.000Z | pandas/core/dtypes/common.py | mtrbean/pandas | c0ff67a22df9c18da1172766e313732ed2ab6c30 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2021-12-08T15:49:00.000Z | 2021-12-08T15:49:00.000Z | """ common type operations """
from typing import Any, Callable, Union
import warnings
import numpy as np
from pandas._libs import algos, lib
from pandas._libs.tslibs import conversion
from pandas.compat import PY36
from pandas.core.dtypes.dtypes import (
CategoricalDtype,
DatetimeTZDtype,
ExtensionDtype... | 25.147755 | 87 | 0.625103 | from typing import Any, Callable, Union
import warnings
import numpy as np
from pandas._libs import algos, lib
from pandas._libs.tslibs import conversion
from pandas.compat import PY36
from pandas.core.dtypes.dtypes import (
CategoricalDtype,
DatetimeTZDtype,
ExtensionDtype,
IntervalDtype,
Period... | true | true |
f75494bdcde83a1a9a55eecc22524d893d681e37 | 11,403 | py | Python | tests/test_span.py | vijayperiasamy-eb/dd-trace-py | 2b0d396fc7f76582e8ffedff48933245a77ebaf2 | [
"BSD-3-Clause"
] | null | null | null | tests/test_span.py | vijayperiasamy-eb/dd-trace-py | 2b0d396fc7f76582e8ffedff48933245a77ebaf2 | [
"BSD-3-Clause"
] | null | null | null | tests/test_span.py | vijayperiasamy-eb/dd-trace-py | 2b0d396fc7f76582e8ffedff48933245a77ebaf2 | [
"BSD-3-Clause"
] | null | null | null | import mock
import time
from unittest.case import SkipTest
from ddtrace.context import Context
from ddtrace.constants import ANALYTICS_SAMPLE_RATE_KEY
from ddtrace.span import Span
from ddtrace.ext import errors, priority
from .base import BaseTracerTestCase
class SpanTestCase(BaseTracerTestCase):
def test_ids(... | 31.763231 | 87 | 0.571692 | import mock
import time
from unittest.case import SkipTest
from ddtrace.context import Context
from ddtrace.constants import ANALYTICS_SAMPLE_RATE_KEY
from ddtrace.span import Span
from ddtrace.ext import errors, priority
from .base import BaseTracerTestCase
class SpanTestCase(BaseTracerTestCase):
def test_ids(... | true | true |
f75495b8c26d527bddd3d5f1ab41c696dee66fe9 | 3,093 | py | Python | examples/server/wsgi/app.py | flocko-motion/python-socketio | 3bd13578c82e8a94d6b0328180606c2aefd496f1 | [
"MIT"
] | 2,977 | 2015-07-15T08:01:56.000Z | 2022-03-31T15:36:09.000Z | examples/server/wsgi/app.py | flocko-motion/python-socketio | 3bd13578c82e8a94d6b0328180606c2aefd496f1 | [
"MIT"
] | 758 | 2015-07-15T09:37:11.000Z | 2022-03-31T22:49:07.000Z | examples/server/wsgi/app.py | flocko-motion/python-socketio | 3bd13578c82e8a94d6b0328180606c2aefd496f1 | [
"MIT"
] | 584 | 2015-08-08T03:16:29.000Z | 2022-03-30T09:25:30.000Z | # set async_mode to 'threading', 'eventlet', 'gevent' or 'gevent_uwsgi' to
# force a mode else, the best mode is selected automatically from what's
# installed
async_mode = None
import time
from flask import Flask, render_template
import socketio
sio = socketio.Server(logger=True, async_mode=async_mode)
app = Flask(_... | 27.131579 | 77 | 0.632719 |
# installed
async_mode = None
import time
from flask import Flask, render_template
import socketio
sio = socketio.Server(logger=True, async_mode=async_mode)
app = Flask(__name__)
app.wsgi_app = socketio.WSGIApp(sio, app.wsgi_app)
app.config['SECRET_KEY'] = 'secret!'
thread = None
def background_thread():
coun... | true | true |
f75495d13c54ba6bdbf71c9d1abb3fc873b6c183 | 7,005 | py | Python | pymarlin/plugins/hf_ner/module_classes.py | nifarn/PyMarlin | ea1f5f927aa85112ecebc206d53b5c3ee65704fa | [
"MIT"
] | 20 | 2021-06-09T18:46:45.000Z | 2022-02-09T01:08:13.000Z | pymarlin/plugins/hf_ner/module_classes.py | nifarn/PyMarlin | ea1f5f927aa85112ecebc206d53b5c3ee65704fa | [
"MIT"
] | 50 | 2021-06-09T17:50:35.000Z | 2022-02-07T23:02:30.000Z | pymarlin/plugins/hf_ner/module_classes.py | nifarn/PyMarlin | ea1f5f927aa85112ecebc206d53b5c3ee65704fa | [
"MIT"
] | 5 | 2021-06-21T22:24:30.000Z | 2021-12-21T17:08:21.000Z | import os
import dataclasses
import numpy as np
import torch
from torch.utils.data import DataLoader
from torch.optim import Adam
from torch.optim.lr_scheduler import OneCycleLR
from pymarlin.core import module_interface, data_interface
from transformers import AutoModelForTokenClassification
from pymarlin.utils.sta... | 36.484375 | 121 | 0.624554 | import os
import dataclasses
import numpy as np
import torch
from torch.utils.data import DataLoader
from torch.optim import Adam
from torch.optim.lr_scheduler import OneCycleLR
from pymarlin.core import module_interface, data_interface
from transformers import AutoModelForTokenClassification
from pymarlin.utils.sta... | true | true |
f754965e123b65adb77bc26aa997bbe6b24f0f3a | 3,022 | py | Python | config/settings/local.py | bdzim/farmlogger | c8565dca9287945b13c93cc50b1587aaefcb0c4d | [
"MIT"
] | null | null | null | config/settings/local.py | bdzim/farmlogger | c8565dca9287945b13c93cc50b1587aaefcb0c4d | [
"MIT"
] | null | null | null | config/settings/local.py | bdzim/farmlogger | c8565dca9287945b13c93cc50b1587aaefcb0c4d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Local settings
- Run in Debug mode
- Use console backend for emails
- Add Django Debug Toolbar
- Add django-extensions as app
"""
import socket
import os
from .common import * # noqa
# DEBUG
# ------------------------------------------------------------------------------
DEBUG = env.bo... | 28.242991 | 99 | 0.49636 |
import socket
import os
from .common import *
DEBUG = env.bool('DJANGO_DEBUG', default=True)
TEMPLATES[0]['OPTIONS']['debug'] = DEBUG
Y = env('DJANGO_SECRET_KEY', default='k%-ir&m=wlet6(-kn%9i65tw6u^0_b(z#yc*kp2&i&fozawb*#')
EMAIL_PORT = 1025
EMAIL_HOST = 'localhost'
EMAIL_BACKEND = env('DJANGO_EMAIL_BAC... | true | true |
f75497d3e13b281bdf702b3c931c788d91ed60c0 | 3,087 | py | Python | ML_Sandbox/data_prep.py | ChristopherGS/rolltec_motion | 45105ddd0a8eb1f4eb5075b1dd807cbbc3b49505 | [
"BSD-3-Clause"
] | 6 | 2016-09-05T02:16:41.000Z | 2020-09-03T00:43:45.000Z | ML_Sandbox/data_prep.py | ChristopherGS/rolltec_motion | 45105ddd0a8eb1f4eb5075b1dd807cbbc3b49505 | [
"BSD-3-Clause"
] | null | null | null | ML_Sandbox/data_prep.py | ChristopherGS/rolltec_motion | 45105ddd0a8eb1f4eb5075b1dd807cbbc3b49505 | [
"BSD-3-Clause"
] | 1 | 2019-04-12T05:43:59.000Z | 2019-04-12T05:43:59.000Z | import pandas as pd
import numpy as np
from manage_state import set_state, set_stand_state
from utilities import combine_csv, concat_data, blank_filter, resolve_acc_gyro, resolve_acc_gyro_labels
from rolltec_features import create_features
def combine_state_features(directory, state, window=40, stand=0):
"""
... | 42.287671 | 128 | 0.746356 | import pandas as pd
import numpy as np
from manage_state import set_state, set_stand_state
from utilities import combine_csv, concat_data, blank_filter, resolve_acc_gyro, resolve_acc_gyro_labels
from rolltec_features import create_features
def combine_state_features(directory, state, window=40, stand=0):
com... | true | true |
f754980331d751c7e313cac487df9e04f05bab83 | 5,354 | py | Python | test/python/circuit/library/test_qft.py | gadial/qiskit-terra | 0fc83f44a6e80969875c738b2cee7bc33223e45f | [
"Apache-2.0"
] | 1 | 2021-10-05T11:56:53.000Z | 2021-10-05T11:56:53.000Z | test/python/circuit/library/test_qft.py | gadial/qiskit-terra | 0fc83f44a6e80969875c738b2cee7bc33223e45f | [
"Apache-2.0"
] | 24 | 2021-01-27T08:20:27.000Z | 2021-07-06T09:42:28.000Z | test/python/circuit/library/test_qft.py | gadial/qiskit-terra | 0fc83f44a6e80969875c738b2cee7bc33223e45f | [
"Apache-2.0"
] | 4 | 2021-10-05T12:07:27.000Z | 2022-01-28T18:37:28.000Z | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2020.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivat... | 34.541935 | 97 | 0.612626 |
import unittest
import numpy as np
from ddt import ddt, data, unpack
from qiskit.test.base import QiskitTestCase
from qiskit import transpile
from qiskit.circuit import QuantumCircuit
from qiskit.circuit.library import QFT
from qiskit.quantum_info import Operator
@ddt
class TestQFT(QiskitTestCase):
... | true | true |
f75498b4cbf2463a4688b366b12b8ea893b25143 | 6,417 | py | Python | ts/model_server.py | dumpmemory/serve | a21e28fc6e775612b2eab2f74333a606e71692fd | [
"Apache-2.0"
] | null | null | null | ts/model_server.py | dumpmemory/serve | a21e28fc6e775612b2eab2f74333a606e71692fd | [
"Apache-2.0"
] | 3 | 2022-03-12T01:08:09.000Z | 2022-03-15T10:56:14.000Z | ts/model_server.py | dumpmemory/serve | a21e28fc6e775612b2eab2f74333a606e71692fd | [
"Apache-2.0"
] | null | null | null | """
File to define the entry point to Model Server
"""
import os
import re
import subprocess
import sys
import tempfile
from builtins import str
import platform
import psutil
from ts.version import __version__
from ts.arg_parser import ArgParser
def start():
"""
This is the entry point for model server
... | 33.421875 | 118 | 0.545426 |
import os
import re
import subprocess
import sys
import tempfile
from builtins import str
import platform
import psutil
from ts.version import __version__
from ts.arg_parser import ArgParser
def start():
args = ArgParser.ts_parser().parse_args()
pid_file = os.path.join(tempfile.gettempdir(), ".model_server.... | true | true |
f75499283712f5c7399843cf7125d170f53b41be | 6,817 | py | Python | cone_finder/scripts/cone_pose_trainer.py | mattp256/wheele | 724e2df031017051085000ac49849e4bb03b69cb | [
"BSD-3-Clause"
] | 2 | 2018-01-28T00:48:42.000Z | 2019-04-08T00:24:11.000Z | cone_finder/scripts/cone_pose_trainer.py | mattp256/wheele | 724e2df031017051085000ac49849e4bb03b69cb | [
"BSD-3-Clause"
] | 27 | 2018-08-03T01:49:19.000Z | 2022-01-05T19:22:46.000Z | cone_finder/scripts/cone_pose_trainer.py | mattp256/wheele | 724e2df031017051085000ac49849e4bb03b69cb | [
"BSD-3-Clause"
] | 3 | 2018-04-20T02:55:10.000Z | 2020-11-24T05:57:13.000Z | #!/usr/bin/env python
import cv2
import numpy as np
import math
import csv
import rospy
from sensor_msgs.msg import Image
from geometry_msgs.msg import PoseStamped
from std_msgs.msg import Float32
from cv_bridge import CvBridge, CvBridgeError
import sys
import threading
from dynamic_reconfigure.server import Server
fr... | 42.080247 | 138 | 0.578847 |
import cv2
import numpy as np
import math
import csv
import rospy
from sensor_msgs.msg import Image
from geometry_msgs.msg import PoseStamped
from std_msgs.msg import Float32
from cv_bridge import CvBridge, CvBridgeError
import sys
import threading
from dynamic_reconfigure.server import Server
from cone_detector.cfg ... | true | true |
f75499cbfd3e7a07c99869dc0d558e37f376cd23 | 1,103 | py | Python | 601-700/623.add-one-row-to-tree.py | guangxu-li/leetcode-in-python | 8a5a373b32351500342705c141591a1a8f5f1cb1 | [
"MIT"
] | null | null | null | 601-700/623.add-one-row-to-tree.py | guangxu-li/leetcode-in-python | 8a5a373b32351500342705c141591a1a8f5f1cb1 | [
"MIT"
] | null | null | null | 601-700/623.add-one-row-to-tree.py | guangxu-li/leetcode-in-python | 8a5a373b32351500342705c141591a1a8f5f1cb1 | [
"MIT"
] | null | null | null | #
# @lc app=leetcode id=623 lang=python3
#
# [623] Add One Row to Tree
#
# @lc code=start
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
from collections import deque
class... | 23.978261 | 68 | 0.461469 |
from collections import deque
class Solution:
def addOneRow(self, root: TreeNode, v: int, d: int) -> TreeNode:
if d == 1:
root = TreeNode(v, root)
nodes = deque()
nodes.append(root)
depth = 1
while nodes:
size = len(nodes)
... | true | true |
f7549a64a4266bbc45df530b40d886aa8b257c5b | 144,004 | py | Python | pysnmp/MOXA-IAW5x50A_IO-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/MOXA-IAW5x50A_IO-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/MOXA-IAW5x50A_IO-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module MOXA-IAW5x50A_IO-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/MOXA-IAW5x50A_IO-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 20:03:34 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (defau... | 147.848049 | 10,622 | 0.748868 |
Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueSizeConstraint, ValueRangeConstraint, SingleValueConstraint, ConstraintsUnion, ConstraintsIntersection = mibBuild... | true | true |
f7549b2a7e43be62024398be597de5cef24c6be9 | 10,886 | py | Python | py_files/AmazonReviews.py | jason-sa/amazon_product_trend_classification | d73b94338354bfdf1d6e83942560d0f95716ecd6 | [
"MIT"
] | 1 | 2018-12-27T02:38:49.000Z | 2018-12-27T02:38:49.000Z | py_files/AmazonReviews.py | jason-sa/amazon_product_trend_classification | d73b94338354bfdf1d6e83942560d0f95716ecd6 | [
"MIT"
] | null | null | null | py_files/AmazonReviews.py | jason-sa/amazon_product_trend_classification | d73b94338354bfdf1d6e83942560d0f95716ecd6 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
from datetime import datetime, timedelta
import os
import pickle
import re
from collections import defaultdict
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score, f1_score, precision_score, recall_score, confusion_matrix, roc_auc_score... | 43.198413 | 185 | 0.628973 | import pandas as pd
import numpy as np
from datetime import datetime, timedelta
import os
import pickle
import re
from collections import defaultdict
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score, f1_score, precision_score, recall_score, confusion_matrix, roc_auc_score... | true | true |
f7549bb0708dc74a610cec9f71d9678924c4b55d | 6,901 | py | Python | tests/test_query.py | equadon/invenio-search | 14c9dc7122005189de2754c2818c76dcb5497c28 | [
"MIT"
] | null | null | null | tests/test_query.py | equadon/invenio-search | 14c9dc7122005189de2754c2818c76dcb5497c28 | [
"MIT"
] | 1 | 2018-09-13T04:33:10.000Z | 2018-09-13T04:33:10.000Z | tests/test_query.py | equadon/invenio-search | 14c9dc7122005189de2754c2818c76dcb5497c28 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2015-2018 CERN.
#
# Invenio is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Module tests."""
from __future__ import absolute_import, print_function
import ... | 31.511416 | 78 | 0.607303 |
from __future__ import absolute_import, print_function
import hashlib
from elasticsearch import VERSION as ES_VERSION
from elasticsearch_dsl import Q, Search
from flask import request
from invenio_search.api import BaseRecordsSearch, DefaultFilter, RecordsSearch
def test_empty_query(app):
q = Records... | true | true |
f7549c216e291cff5efe4800160dc4005654a7f6 | 3,222 | py | Python | graph-db/extractor/src/biocyc/protein_parser.py | SBRG/lifelike | a7b715f38b389a585c10e6d0d067345937455c13 | [
"MIT"
] | 8 | 2022-01-28T08:43:07.000Z | 2022-03-23T11:18:10.000Z | graph-db/extractor/src/biocyc/protein_parser.py | SBRG/lifelike | a7b715f38b389a585c10e6d0d067345937455c13 | [
"MIT"
] | 23 | 2022-02-14T15:25:00.000Z | 2022-03-28T15:30:45.000Z | graph-db/extractor/src/biocyc/protein_parser.py | SBRG/lifelike | a7b715f38b389a585c10e6d0d067345937455c13 | [
"MIT"
] | 5 | 2022-01-28T15:45:44.000Z | 2022-03-14T11:36:49.000Z | from biocyc.base_data_file_parser import BaseDataFileParser
from common.constants import *
from common.graph_models import *
ATTR_NAMES = {
'UNIQUE-ID': (PROP_BIOCYC_ID, 'str'),
'COMMON-NAME': (PROP_NAME, 'str'),
'ABBREV-NAME': (PROP_ABBREV_NAME, 'str'),
'MOLECULAR-WEIGHT-KD': (PROP_MOL_WEIGHT_KD, 'st... | 43.540541 | 144 | 0.636561 | from biocyc.base_data_file_parser import BaseDataFileParser
from common.constants import *
from common.graph_models import *
ATTR_NAMES = {
'UNIQUE-ID': (PROP_BIOCYC_ID, 'str'),
'COMMON-NAME': (PROP_NAME, 'str'),
'ABBREV-NAME': (PROP_ABBREV_NAME, 'str'),
'MOLECULAR-WEIGHT-KD': (PROP_MOL_WEIGHT_KD, 'st... | true | true |
f7549e5d60f9b300d18a0e3f88cf93333ca9eee7 | 1,427 | py | Python | app.py | chalvors/boggle_matrix_analysis | a56508e218a32aec5b97a17c89603ca40585dc32 | [
"MIT"
] | null | null | null | app.py | chalvors/boggle_matrix_analysis | a56508e218a32aec5b97a17c89603ca40585dc32 | [
"MIT"
] | null | null | null | app.py | chalvors/boggle_matrix_analysis | a56508e218a32aec5b97a17c89603ca40585dc32 | [
"MIT"
] | null | null | null | #boggle matrix analysis main app
def find_adjacent_nodes(row_index, col_index):
adjacent_nodes = []
temp_num_pair = []
count = 0
while count < 9:
if count == 0:
temp_num_pair = [row_index-1, col_index-1]
elif count == 1:
temp_num_pair = [row_index-1, col_index]
... | 24.603448 | 62 | 0.555011 |
def find_adjacent_nodes(row_index, col_index):
adjacent_nodes = []
temp_num_pair = []
count = 0
while count < 9:
if count == 0:
temp_num_pair = [row_index-1, col_index-1]
elif count == 1:
temp_num_pair = [row_index-1, col_index]
elif count == 2:
... | true | true |
f7549f4db3e585da47ad916d4a3f750ce10ce685 | 7,937 | py | Python | box_world_env.py | eczy/Box-World | 228f06d07b3cf95e29a6f49b9abec89a612e675b | [
"MIT"
] | null | null | null | box_world_env.py | eczy/Box-World | 228f06d07b3cf95e29a6f49b9abec89a612e675b | [
"MIT"
] | null | null | null | box_world_env.py | eczy/Box-World | 228f06d07b3cf95e29a6f49b9abec89a612e675b | [
"MIT"
] | null | null | null | import gym
from gym.spaces.discrete import Discrete
from gym.spaces import Box
import matplotlib.pyplot as plt
from collections import deque
from .boxworld_gen import *
class BoxWorld(gym.Env):
"""Boxworld representation
Args:
n (int): Size of the field (n x n)
goal_length (int): Number of keys t... | 36.077273 | 121 | 0.557767 | import gym
from gym.spaces.discrete import Discrete
from gym.spaces import Box
import matplotlib.pyplot as plt
from collections import deque
from .boxworld_gen import *
class BoxWorld(gym.Env):
def __init__(self, n, goal_length, num_distractor, distractor_length, max_steps=10**6, collect_key=True, world=None):
... | true | true |
f7549fbbdb1bbd49e77fc25124613dc952882afe | 29 | py | Python | hi.py | iAreth/arm | 5d316ddaa5ae19f0ce972810913aa79cbcb83e05 | [
"Apache-2.0"
] | null | null | null | hi.py | iAreth/arm | 5d316ddaa5ae19f0ce972810913aa79cbcb83e05 | [
"Apache-2.0"
] | null | null | null | hi.py | iAreth/arm | 5d316ddaa5ae19f0ce972810913aa79cbcb83e05 | [
"Apache-2.0"
] | null | null | null | #Numeral
print("Hola Mundo")
| 9.666667 | 19 | 0.724138 |
print("Hola Mundo")
| true | true |
f7549fe48a36b7c7714daf9e3b46450fa5d10be0 | 976 | py | Python | gpytorch/models/grid_inducing_variational_gp.py | techshot25/gpytorch | b4aee6f81a3428172d4914e7e0fef0e71cd1f519 | [
"MIT"
] | 2 | 2019-04-19T00:35:49.000Z | 2019-04-19T02:51:49.000Z | gpytorch/models/grid_inducing_variational_gp.py | VonRosenchild/gpytorch | 092d523027a844939ba85d7ea8c8c7b7511843d5 | [
"MIT"
] | null | null | null | gpytorch/models/grid_inducing_variational_gp.py | VonRosenchild/gpytorch | 092d523027a844939ba85d7ea8c8c7b7511843d5 | [
"MIT"
] | 1 | 2019-04-19T00:42:35.000Z | 2019-04-19T00:42:35.000Z | #!/usr/bin/env python3
from ..variational import CholeskyVariationalDistribution, GridInterpolationVariationalStrategy
from .abstract_variational_gp import AbstractVariationalGP
import warnings
class GridInducingVariationalGP(AbstractVariationalGP):
def __init__(self, grid_size, grid_bounds):
warnings.wa... | 44.363636 | 114 | 0.753074 |
from ..variational import CholeskyVariationalDistribution, GridInterpolationVariationalStrategy
from .abstract_variational_gp import AbstractVariationalGP
import warnings
class GridInducingVariationalGP(AbstractVariationalGP):
def __init__(self, grid_size, grid_bounds):
warnings.warn(
"GridI... | true | true |
f754a1a1081634d0c0b97ee6713621dc284b38c1 | 1,887 | py | Python | mars/learn/utils/core.py | ueshin/mars | 0b542974243be4e0ff239eaf49ab0fb2935f3361 | [
"Apache-2.0"
] | null | null | null | mars/learn/utils/core.py | ueshin/mars | 0b542974243be4e0ff239eaf49ab0fb2935f3361 | [
"Apache-2.0"
] | null | null | null | mars/learn/utils/core.py | ueshin/mars | 0b542974243be4e0ff239eaf49ab0fb2935f3361 | [
"Apache-2.0"
] | null | null | null | # Copyright 1999-2020 Alibaba Group Holding Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 37 | 77 | 0.714361 |
import pandas as pd
from ...tensor import tensor as astensor
from ...tensor.core import TENSOR_TYPE, CHUNK_TYPE as TENSOR_CHUNK_TYPE
from ...dataframe import DataFrame, Series
from ...dataframe.core import DATAFRAME_TYPE, SERIES_TYPE, \
DATAFRAME_CHUNK_TYPE, SERIES_CHUNK_TYPE
from ..operands import O... | true | true |
f754a1c2b701a1c5908f08b13e9f6397a4f96c01 | 13,271 | py | Python | HLAFeatureLibrary/FeatureLibrary.py | CDCgov/DCPC | c3fadef1bd6345e01a58afef051491d8ef6a7f93 | [
"Apache-2.0"
] | 6 | 2018-11-03T22:43:35.000Z | 2022-02-15T17:51:33.000Z | HLAFeatureLibrary/FeatureLibrary.py | CDCgov/DCPC | c3fadef1bd6345e01a58afef051491d8ef6a7f93 | [
"Apache-2.0"
] | 2 | 2019-04-08T03:42:59.000Z | 2019-10-28T13:42:59.000Z | HLAFeatureLibrary/FeatureLibrary.py | CDCgov/DCPC | c3fadef1bd6345e01a58afef051491d8ef6a7f93 | [
"Apache-2.0"
] | 10 | 2017-04-10T21:40:22.000Z | 2022-02-21T16:50:10.000Z | import sys
import glob
import os
import json
from Training.Client import ServiceClient
import Training.Stanford
import Training.OpenNLP
import Training.GATE
import TokenType
"""
This is the Feature Library which will take the input files and
user selected features. It will determine the sequence of pipeline to be cal... | 36.660221 | 128 | 0.710949 | import sys
import glob
import os
import json
from Training.Client import ServiceClient
import Training.Stanford
import Training.OpenNLP
import Training.GATE
import TokenType
class FeatureLibrary:
def __init__(self, lif_filename="", txt_filename="", ann_filename = "", output_filename="", pipeline="", pipeline_type="... | true | true |
f754a2537b4304224f2d09afa52d2fab74d8ff80 | 56,281 | py | Python | tests/__init__.py | nialov/fractopo | a59ca168950d07e1961f1009479ce71c2aa9c2d7 | [
"MIT"
] | 3 | 2021-02-08T22:28:23.000Z | 2021-12-09T15:27:56.000Z | tests/__init__.py | nialov/fractopo | a59ca168950d07e1961f1009479ce71c2aa9c2d7 | [
"MIT"
] | 1 | 2022-03-25T19:16:46.000Z | 2022-03-29T06:23:14.000Z | tests/__init__.py | nialov/fractopo | a59ca168950d07e1961f1009479ce71c2aa9c2d7 | [
"MIT"
] | 1 | 2021-03-11T12:08:36.000Z | 2021-03-11T12:08:36.000Z | """
Test parameters i.e. sample data, known past errors, etc.
"""
from functools import lru_cache
from pathlib import Path
from traceback import print_tb
from typing import List
import geopandas as gpd
import numpy as np
import pandas as pd
import pytest
from click.testing import Result
from hypothesis.strategies impo... | 32.068946 | 88 | 0.4926 | from functools import lru_cache
from pathlib import Path
from traceback import print_tb
from typing import List
import geopandas as gpd
import numpy as np
import pandas as pd
import pytest
from click.testing import Result
from hypothesis.strategies import floats, integers, tuples
from shapely.geometry import (
Lin... | true | true |
f754a3e66bce9fcebea92bfe7e40f66e2479ffb8 | 4,228 | py | Python | Zero/settings.py | Prashastp25/Zerolang | 5d0703036591623fff2208537638f257a52ad450 | [
"MIT"
] | null | null | null | Zero/settings.py | Prashastp25/Zerolang | 5d0703036591623fff2208537638f257a52ad450 | [
"MIT"
] | null | null | null | Zero/settings.py | Prashastp25/Zerolang | 5d0703036591623fff2208537638f257a52ad450 | [
"MIT"
] | null | null | null | """
Django settings for Zero project.
Generated by 'django-admin startproject' using Django 3.2.6.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
fro... | 27.815789 | 92 | 0.664617 |
from pathlib import Path
import os
import django_heroku
BASE_DIR = Path(__file__).resolve().parent.parent
SECRET_KEY = 'django-insecure-f8b&g4mpv@-2$2+6dvej0eecwmdk8e&dmu%1g^vek!-80v$rr3'
DEBUG = False
ALLOWED_HOSTS = ['https://zerolang.herokuapp.com/','127.0.0.1','localhost']
# Applicatio... | true | true |
f754aa5c9dfd04e2f965479baef99fb15b319888 | 1,419 | py | Python | bzt/modules/apiritif/ast_helpers.py | sbesedkov/taurus | 2b27c781b0f5eae2f340f39809fa169917158089 | [
"Apache-2.0"
] | 1 | 2021-03-05T14:20:23.000Z | 2021-03-05T14:20:23.000Z | bzt/modules/apiritif/ast_helpers.py | sbesedkov/taurus | 2b27c781b0f5eae2f340f39809fa169917158089 | [
"Apache-2.0"
] | null | null | null | bzt/modules/apiritif/ast_helpers.py | sbesedkov/taurus | 2b27c781b0f5eae2f340f39809fa169917158089 | [
"Apache-2.0"
] | null | null | null | import ast
def ast_attr(fields):
""" fields is string of attrs (e.g. 'self.call.me.now') or list of ast args"""
if isinstance(fields, str):
if "." in fields:
fields_list = fields.split(".")
return ast.Attribute(attr=fields_list[-1], value=ast_attr(".".join(fields_list[:-1])))
... | 31.533333 | 106 | 0.589147 | import ast
def ast_attr(fields):
if isinstance(fields, str):
if "." in fields:
fields_list = fields.split(".")
return ast.Attribute(attr=fields_list[-1], value=ast_attr(".".join(fields_list[:-1])))
return ast.Name(id=fields)
else:
if len(fields) == 1:
... | true | true |
f754ab1a9c7dab7ce2ed19e42a5b899645b07217 | 463 | py | Python | code/perceptron.py | yxnchen/SLM-Lihang-Notes | 8effca5f809a1b3e563661d9a2f6774ab915e37a | [
"MIT"
] | 2 | 2019-03-27T13:19:51.000Z | 2019-10-17T16:39:25.000Z | code/perceptron.py | yxnchen/SLM-Lihang-Notes | 8effca5f809a1b3e563661d9a2f6774ab915e37a | [
"MIT"
] | null | null | null | code/perceptron.py | yxnchen/SLM-Lihang-Notes | 8effca5f809a1b3e563661d9a2f6774ab915e37a | [
"MIT"
] | 1 | 2022-03-14T08:48:47.000Z | 2022-03-14T08:48:47.000Z | # -*- coding: utf-8 -*-
"""
Created on: 2019/4/10 13:46
@author: its_cyx
"""
from utils import load_mldata
from sklearn.linear_model import Perceptron
X_train, y_train, X_test, y_test = load_mldata.fetch_mnist()
# 二分类：数字5和其他
y_train_5 = (y_train == 5)
y_train_5 = y_train_5.ravel()
y_test_5 = (y_test == 5)
y_test_5 ... | 21.045455 | 60 | 0.736501 |
from utils import load_mldata
from sklearn.linear_model import Perceptron
X_train, y_train, X_test, y_test = load_mldata.fetch_mnist()
y_train_5 = (y_train == 5)
y_train_5 = y_train_5.ravel()
y_test_5 = (y_test == 5)
y_test_5 = y_test_5.ravel()
classifier = Perceptron(tol=1e-3, random_state=2019)
classifier.fit(X... | true | true |
f754ab49e5370a01140f9ebd46496949c6d9e50d | 3,791 | py | Python | tests/conftest.py | ri0t/circuits | 9c0b8b8d39aacb5354d4c710215e7711469faaf7 | [
"MIT"
] | null | null | null | tests/conftest.py | ri0t/circuits | 9c0b8b8d39aacb5354d4c710215e7711469faaf7 | [
"MIT"
] | null | null | null | tests/conftest.py | ri0t/circuits | 9c0b8b8d39aacb5354d4c710215e7711469faaf7 | [
"MIT"
] | null | null | null | """py.test config"""
import collections
import sys
import threading
from collections import deque
from time import sleep
import pytest
from circuits import BaseComponent, Debugger, Manager, handler
from circuits.core.manager import TIMEOUT
class Watcher(BaseComponent):
def init(self):
self._lock = thr... | 24.616883 | 76 | 0.597731 |
import collections
import sys
import threading
from collections import deque
from time import sleep
import pytest
from circuits import BaseComponent, Debugger, Manager, handler
from circuits.core.manager import TIMEOUT
class Watcher(BaseComponent):
def init(self):
self._lock = threading.Lock()
... | true | true |
f754ad0128b2582bd7b88c2e016ccc37697bb9de | 78,933 | py | Python | powerdnsadmin/routes/admin.py | ciscoqid/PowerDNS-Admin | 701a442d126ebd816d2a9728dba5d3a306ba0efb | [
"MIT"
] | null | null | null | powerdnsadmin/routes/admin.py | ciscoqid/PowerDNS-Admin | 701a442d126ebd816d2a9728dba5d3a306ba0efb | [
"MIT"
] | null | null | null | powerdnsadmin/routes/admin.py | ciscoqid/PowerDNS-Admin | 701a442d126ebd816d2a9728dba5d3a306ba0efb | [
"MIT"
] | null | null | null | import json
import datetime
import traceback
import re
from base64 import b64encode
from ast import literal_eval
from flask import Blueprint, render_template, make_response, url_for, current_app, request, redirect, jsonify, abort, flash, session
from flask_login import login_required, current_user
from ..decorators im... | 41.239812 | 174 | 0.548681 | import json
import datetime
import traceback
import re
from base64 import b64encode
from ast import literal_eval
from flask import Blueprint, render_template, make_response, url_for, current_app, request, redirect, jsonify, abort, flash, session
from flask_login import login_required, current_user
from ..decorators im... | true | true |
f754aec10e1d2e82fa56db80daaaa27b661a2b2b | 448 | py | Python | data/scripts/templates/object/tangible/firework/shared_firework_two.py | obi-two/GameServer | 7d37024e2291a97d49522610cd8f1dbe5666afc2 | [
"MIT"
] | 20 | 2015-02-23T15:11:56.000Z | 2022-03-18T20:56:48.000Z | data/scripts/templates/object/tangible/firework/shared_firework_two.py | apathyboy/swganh | 665128efe9154611dec4cb5efc61d246dd095984 | [
"MIT"
] | null | null | null | data/scripts/templates/object/tangible/firework/shared_firework_two.py | apathyboy/swganh | 665128efe9154611dec4cb5efc61d246dd095984 | [
"MIT"
] | 20 | 2015-04-04T16:35:59.000Z | 2022-03-24T14:54:37.000Z | #### NOTICE: THIS FILE IS AUTOGENERATED
#### MODIFICATIONS MAY BE LOST IF DONE IMPROPERLY
#### PLEASE SEE THE ONLINE DOCUMENTATION FOR EXAMPLES
from swgpy.object import *
def create(kernel):
result = Tangible()
result.template = "object/tangible/firework/shared_firework_two.iff"
result.attribute_template_id = -1... | 26.352941 | 69 | 0.727679 | true | true | |
f754aef24c73909f2718b71146a4de50b2166765 | 1,037 | py | Python | pyout/tests/utils.py | vsoch/pyout | f4247e563b89a01ee8b3e167e1e75dd01b2f2632 | [
"MIT"
] | 2 | 2020-01-29T13:42:02.000Z | 2020-05-13T02:26:50.000Z | pyout/tests/utils.py | vsoch/pyout | f4247e563b89a01ee8b3e167e1e75dd01b2f2632 | [
"MIT"
] | 132 | 2017-12-19T18:15:18.000Z | 2022-02-03T20:28:19.000Z | pyout/tests/utils.py | kyleam/pyout | 9f5bbf2cab6b131365c1cc282fcae81f01f0b18f | [
"MIT"
] | 3 | 2017-12-19T20:57:25.000Z | 2020-05-12T22:56:21.000Z | from operator import eq
def assert_contains(collection, *items, **kwargs):
"""Check that each item in `items` is in `collection`.
Parameters
----------
collection : list
*items : list
Query items.
count : int, optional
The number of times each item should occur in `collection`... | 29.628571 | 79 | 0.603664 | from operator import eq
def assert_contains(collection, *items, **kwargs):
count = kwargs.pop("count", 1)
cmp = kwargs.pop("cmp", eq)
for item in items:
if not len([x for x in collection if cmp(x, item)]) == count:
raise AssertionError("{!r} (x{}) not in {!r}".format(
i... | true | true |
f754afc10c4bbadb3d679b4d9670fc42dd78a35c | 1,559 | py | Python | p1.py | its-kz-again/AI-project | cbef083d77eb37eab4f455b5ecd35f10246d5cd6 | [
"MIT"
] | null | null | null | p1.py | its-kz-again/AI-project | cbef083d77eb37eab4f455b5ecd35f10246d5cd6 | [
"MIT"
] | null | null | null | p1.py | its-kz-again/AI-project | cbef083d77eb37eab4f455b5ecd35f10246d5cd6 | [
"MIT"
] | null | null | null | from main import p, initial_node
from solution import Solution
initial_depth = int(input('please input initial depth:'))
solution = Solution()
def recursive_dls(node, problem, limit):
if problem.goal_test(node.state):
solution.print_goal(node.state)
depth = 0
path = []
while node.... | 24.359375 | 64 | 0.550994 | from main import p, initial_node
from solution import Solution
initial_depth = int(input('please input initial depth:'))
solution = Solution()
def recursive_dls(node, problem, limit):
if problem.goal_test(node.state):
solution.print_goal(node.state)
depth = 0
path = []
while node.... | true | true |
f754b04031da445c5a8e9078308d90d5b15bba6c | 6,642 | py | Python | tests/rados/test_83571452.py | jennkimerson/cephci | d654deb0b51a9e790ec5ca7285184e044ad4fe63 | [
"MIT"
] | null | null | null | tests/rados/test_83571452.py | jennkimerson/cephci | d654deb0b51a9e790ec5ca7285184e044ad4fe63 | [
"MIT"
] | null | null | null | tests/rados/test_83571452.py | jennkimerson/cephci | d654deb0b51a9e790ec5ca7285184e044ad4fe63 | [
"MIT"
] | null | null | null | import json
import logging
import random
import time
import traceback
from ceph.rados_utils import RadosHelper
log = logging.getLogger(__name__)
def run(ceph_cluster, **kw):
"""
CEPH-83571452 RADOS:
Corrupt snap info of an object and run
list-inconsistent-snapset
Steps:
1. create a repli... | 37.106145 | 120 | 0.635351 | import json
import logging
import random
import time
import traceback
from ceph.rados_utils import RadosHelper
log = logging.getLogger(__name__)
def run(ceph_cluster, **kw):
log.info("Running CEPH-83571452")
log.info(run.__doc__)
ceph_nodes = kw.get('ceph_nodes')
config = kw.get('config')
mons =... | true | true |
f754b04722f12ec2f7bc1bd78e45ee3303b8b9b0 | 3,495 | py | Python | azure-kusto-ingest/azure/kusto/ingest/_ingestion_blob_info.py | cclauss/azure-kusto-python | 92e2d5c97079b96f78cf6ef1619ebe89cb4d4985 | [
"MIT"
] | null | null | null | azure-kusto-ingest/azure/kusto/ingest/_ingestion_blob_info.py | cclauss/azure-kusto-python | 92e2d5c97079b96f78cf6ef1619ebe89cb4d4985 | [
"MIT"
] | null | null | null | azure-kusto-ingest/azure/kusto/ingest/_ingestion_blob_info.py | cclauss/azure-kusto-python | 92e2d5c97079b96f78cf6ef1619ebe89cb4d4985 | [
"MIT"
] | null | null | null | """This module represents the object to write to azure queue that the DM is listening to."""
import json
import uuid
from datetime import datetime
class _IngestionBlobInfo:
def __init__(self, blob_descriptor, ingestion_properties, auth_context=None):
self.properties = dict()
self.properties["Blob... | 51.397059 | 148 | 0.731903 |
import json
import uuid
from datetime import datetime
class _IngestionBlobInfo:
def __init__(self, blob_descriptor, ingestion_properties, auth_context=None):
self.properties = dict()
self.properties["BlobPath"] = blob_descriptor.path
self.properties["RawDataSize"] = blob_descriptor.size
... | true | true |
f754b0d7e7f8d8e3d1c065d9753711b4ea723bf4 | 1,324 | py | Python | unsupervised/convs/wgin_conv.py | susheels/adgcl | 2605ef8f980934c28d545f2556af5cc6ff48ed18 | [
"MIT"
] | 42 | 2021-06-30T21:05:28.000Z | 2022-03-28T09:23:57.000Z | unsupervised/convs/wgin_conv.py | susheels/adgcl | 2605ef8f980934c28d545f2556af5cc6ff48ed18 | [
"MIT"
] | 3 | 2021-11-04T02:49:41.000Z | 2021-12-29T08:41:15.000Z | unsupervised/convs/wgin_conv.py | susheels/adgcl | 2605ef8f980934c28d545f2556af5cc6ff48ed18 | [
"MIT"
] | 3 | 2022-01-25T16:24:17.000Z | 2022-03-24T13:45:57.000Z | from typing import Callable, Union
import torch
from torch import Tensor
from torch_geometric.nn.conv import MessagePassing
from torch_geometric.typing import OptPairTensor, Adj, Size
from unsupervised.convs.inits import reset
class WGINConv(MessagePassing):
def __init__(self, nn: Callable, eps: float = 0., train_... | 27.583333 | 88 | 0.705438 | from typing import Callable, Union
import torch
from torch import Tensor
from torch_geometric.nn.conv import MessagePassing
from torch_geometric.typing import OptPairTensor, Adj, Size
from unsupervised.convs.inits import reset
class WGINConv(MessagePassing):
def __init__(self, nn: Callable, eps: float = 0., train_... | true | true |
f754b10af043fd1808b04629c9b3d730c9153fd3 | 11,193 | py | Python | ckanext/multilingual/plugin.py | FuhuXia/ckan | 45b495785109c8c65e7586c519928fc8b826a897 | [
"Apache-2.0"
] | 1 | 2016-03-12T03:09:35.000Z | 2016-03-12T03:09:35.000Z | ckanext/multilingual/plugin.py | sirca/ckan | f847c329a0b288cbef6995c848bf2ee7ccdcf281 | [
"Apache-2.0"
] | null | null | null | ckanext/multilingual/plugin.py | sirca/ckan | f847c329a0b288cbef6995c848bf2ee7ccdcf281 | [
"Apache-2.0"
] | 1 | 2021-01-05T17:38:34.000Z | 2021-01-05T17:38:34.000Z | import sets
import ckan
from ckan.plugins import SingletonPlugin, implements, IPackageController
from ckan.plugins import IGroupController, IOrganizationController, ITagController
import pylons
from ckan.logic import get_action
from pylons import config
LANGS = ['en', 'fr', 'de', 'es', 'it', 'nl', 'ro', 'pt', 'pl']
d... | 40.26259 | 82 | 0.617171 | import sets
import ckan
from ckan.plugins import SingletonPlugin, implements, IPackageController
from ckan.plugins import IGroupController, IOrganizationController, ITagController
import pylons
from ckan.logic import get_action
from pylons import config
LANGS = ['en', 'fr', 'de', 'es', 'it', 'nl', 'ro', 'pt', 'pl']
d... | true | true |
f754b16bcb9335f601230398ad2e39c562b9fd0c | 31,963 | py | Python | Assignment1.py | b-bertagnolli/expense-tracker | e1dd06f087003b63b05e67e30822524a1168829f | [
"Unlicense"
] | null | null | null | Assignment1.py | b-bertagnolli/expense-tracker | e1dd06f087003b63b05e67e30822524a1168829f | [
"Unlicense"
] | null | null | null | Assignment1.py | b-bertagnolli/expense-tracker | e1dd06f087003b63b05e67e30822524a1168829f | [
"Unlicense"
] | null | null | null | from collections import Counter
import sqlite3
import os
from math import ceil
import datetime
import time
def leap_year(year):
"""
checks year parameter to see if the given year is a leap year.
:param year: accepts INT between 0-9999
:return: BOOLEAN True or False
"""
if year ... | 35.953881 | 119 | 0.594437 | from collections import Counter
import sqlite3
import os
from math import ceil
import datetime
import time
def leap_year(year):
if year % 400 == 0:
return True
elif year % 100 == 0:
return False
elif year % 4 == 0:
return True
def before_at(dy=0, mn=0, yr=0):
... | true | true |
f754b1bc895e6f91b0329798600a0d6d33e937aa | 7,300 | py | Python | P2.py | quangmnh/UltimaTTTBot | 2307a164934ac82ec318662dfe8ecb063b68e113 | [
"MIT"
] | null | null | null | P2.py | quangmnh/UltimaTTTBot | 2307a164934ac82ec318662dfe8ecb063b68e113 | [
"MIT"
] | null | null | null | P2.py | quangmnh/UltimaTTTBot | 2307a164934ac82ec318662dfe8ecb063b68e113 | [
"MIT"
] | null | null | null | # // _ooOoo_
# // o8888888o
# // 88" . "88
# // (| -_- |)
# // O\ = /O
# // ____/`---'\____
# // .' \\| |// `.
# // / \\||| : |||// \
# // / _||||| -:- |||||- \
# // ... | 34.761905 | 93 | 0.54411 |
# // .' \\| |// `.
# // ."" '< `.___\_<|>_/___.' >'"".
# // `=---='
import numpy as np
from state import State, State_2, UltimateTTT_Move
import sys
import random
APPROXIMATE_WIN_SCORE = 7
BIG_BOARD_WEIGHT = 23
WIN_SCORE = 10**6
POSSIBLE_WIN_SEQUENCES = np... | true | true |
f754b2f731448fe9dfce3c552d1871d6e13c781e | 567 | py | Python | tests/constants.py | maspe36/JSONTyper | 26d0bbf73c093cf8781a6946425cbede13c7c2dc | [
"MIT"
] | 4 | 2018-12-01T19:57:59.000Z | 2022-03-25T18:51:09.000Z | tests/constants.py | maspe36/JSONTyper | 26d0bbf73c093cf8781a6946425cbede13c7c2dc | [
"MIT"
] | 1 | 2018-07-21T22:52:57.000Z | 2018-12-01T18:09:45.000Z | tests/constants.py | maspe36/json-typer | 26d0bbf73c093cf8781a6946425cbede13c7c2dc | [
"MIT"
] | null | null | null | FILE_PATH = "test.json"
EXAMPLE_JSON = '{"_type": "Holder", "_module": "tests.test_classes.holder", "objects": [{"_type": "Foo", "_module": "tests.test_classes.foo"}, {"_type": "Bar", "_module": "tests.test_classes.bar"}]}'
# Formatted EXAMPLE_JSON
# {
# "_type": "Holder",
# "_module": "tests.test_classes.hol... | 27 | 199 | 0.504409 | FILE_PATH = "test.json"
EXAMPLE_JSON = '{"_type": "Holder", "_module": "tests.test_classes.holder", "objects": [{"_type": "Foo", "_module": "tests.test_classes.foo"}, {"_type": "Bar", "_module": "tests.test_classes.bar"}]}'
| true | true |
f754b30f30dbfb328780a5e62ee855649c559495 | 73,346 | py | Python | azure/Kqlmagic/parser.py | ForrestTrepte/jupyter-Kqlmagic | 3dec41e7eb44d43bad30aca64d72144895322188 | [
"MIT"
] | null | null | null | azure/Kqlmagic/parser.py | ForrestTrepte/jupyter-Kqlmagic | 3dec41e7eb44d43bad30aca64d72144895322188 | [
"MIT"
] | null | null | null | azure/Kqlmagic/parser.py | ForrestTrepte/jupyter-Kqlmagic | 3dec41e7eb44d43bad30aca64d72144895322188 | [
"MIT"
] | null | null | null | # -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
from typi... | 49.225503 | 387 | 0.585035 |
from typing import Tuple, Dict, List, Any
import itertools
import configparser as CP
from datetime import timedelta, datetime
import dateutil.parser
from traitlets import TraitType
from traitlets.config.configurable import Configurable
from ._debug_utils import debug_print
from .dependencies import Dependenci... | true | true |
f754b34c2e44f58e08a64ea95f8150d785ab9137 | 1,176 | py | Python | HW3/ratingprank.py | miguel-mzbi/MachineLearning-DataMining | d589e89c85ccc7cba129c9a489c49f61a4298c5d | [
"MIT"
] | null | null | null | HW3/ratingprank.py | miguel-mzbi/MachineLearning-DataMining | d589e89c85ccc7cba129c9a489c49f61a4298c5d | [
"MIT"
] | null | null | null | HW3/ratingprank.py | miguel-mzbi/MachineLearning-DataMining | d589e89c85ccc7cba129c9a489c49f61a4298c5d | [
"MIT"
] | null | null | null | # Input: number of iterations L
# number of labels k
# matrix X of features, with n rows (samples), d columns (features)
# X[i,j] is the j-th feature of the i-th sample
# vector y of labels, with n rows (samples), 1 column
# y[i] is the label (1 or 2 ... or k) of the i-th samp... | 28.682927 | 74 | 0.437925 |
import numpy as np
def stl(yt, l):
if yt <= l+1:
return -1
else:
return 1
def run(L,k,X,y):
n, d = X.shape
theta = np.zeros((d, 1))
b = np.zeros((k-1, 1))
for l in range(k-1):
b[l] = l
for _ in range(1, L+1):
for t in range(0, n):
... | true | true |
f754b37acbedfbf78ca26577a8a4cc6216da9281 | 2,976 | py | Python | benchexec/tools/esbmc.py | xvitovs1/benchexec | ad855061eea7847004703a031a16e8ce25d38cb5 | [
"Apache-2.0"
] | 2 | 2019-01-01T17:36:34.000Z | 2019-04-05T06:19:56.000Z | benchexec/tools/esbmc.py | xvitovs1/benchexec | ad855061eea7847004703a031a16e8ce25d38cb5 | [
"Apache-2.0"
] | null | null | null | benchexec/tools/esbmc.py | xvitovs1/benchexec | ad855061eea7847004703a031a16e8ce25d38cb5 | [
"Apache-2.0"
] | null | null | null | """
BenchExec is a framework for reliable benchmarking.
This file is part of BenchExec.
Copyright (C) 2007-2015 Dirk Beyer
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
... | 31.326316 | 85 | 0.634409 |
import os
import benchexec.util as util
import benchexec.tools.template
import benchexec.result as result
class Tool(benchexec.tools.template.BaseTool):
REQUIRED_PATHS = [
"cpachecker",
"esbmc",
"esbmc-wrapper.py",
"tokenizer"
... | true | true |
f754b3d0a104c4154c6194ab43187dfaea5cf1c9 | 156 | py | Python | codeforces/977A.py | bartekpacia/python-training | 00a1047f70ab44cc5afed8619eb4eac0e406f3e3 | [
"MIT"
] | null | null | null | codeforces/977A.py | bartekpacia/python-training | 00a1047f70ab44cc5afed8619eb4eac0e406f3e3 | [
"MIT"
] | null | null | null | codeforces/977A.py | bartekpacia/python-training | 00a1047f70ab44cc5afed8619eb4eac0e406f3e3 | [
"MIT"
] | null | null | null | line = input().split(" ")
n = int(line[0])
k = int(line[1])
for _ in range(k):
if n % 10 == 0:
n /= 10
else:
n -= 1
print(int(n))
| 13 | 25 | 0.435897 | line = input().split(" ")
n = int(line[0])
k = int(line[1])
for _ in range(k):
if n % 10 == 0:
n /= 10
else:
n -= 1
print(int(n))
| true | true |
f754b470cf7cad7ef208ec9f75a3ea884d5d9c8d | 4,321 | py | Python | flexget/components/managed_lists/lists/regexp_list/db.py | guillaumelamirand/Flexget | 51945105c253a64c079eb5a62680392ce9013794 | [
"MIT"
] | 2 | 2017-03-25T10:39:25.000Z | 2019-12-11T03:46:26.000Z | flexget/components/managed_lists/lists/regexp_list/db.py | guillaumelamirand/Flexget | 51945105c253a64c079eb5a62680392ce9013794 | [
"MIT"
] | null | null | null | flexget/components/managed_lists/lists/regexp_list/db.py | guillaumelamirand/Flexget | 51945105c253a64c079eb5a62680392ce9013794 | [
"MIT"
] | null | null | null | import logging
import re
from collections.abc import MutableSet
from datetime import datetime
from sqlalchemy import Column, DateTime, ForeignKey, Integer, Unicode, and_, func
from sqlalchemy.orm import relationship
from flexget import plugin
from flexget.db_schema import versioned_base, with_session
from flexget.ent... | 31.311594 | 97 | 0.684795 | import logging
import re
from collections.abc import MutableSet
from datetime import datetime
from sqlalchemy import Column, DateTime, ForeignKey, Integer, Unicode, and_, func
from sqlalchemy.orm import relationship
from flexget import plugin
from flexget.db_schema import versioned_base, with_session
from flexget.ent... | true | true |
f754b4df4871fb27652956a2db706c3f5fe1159d | 1,900 | py | Python | examples/ad_manager/v201905/network_service/make_test_network.py | ale180192/googleads-python-lib | 783a2d40a49956fb16ed73280708f6f9e322aa09 | [
"Apache-2.0"
] | 1 | 2019-09-30T06:36:07.000Z | 2019-09-30T06:36:07.000Z | examples/ad_manager/v201905/network_service/make_test_network.py | ale180192/googleads-python-lib | 783a2d40a49956fb16ed73280708f6f9e322aa09 | [
"Apache-2.0"
] | null | null | null | examples/ad_manager/v201905/network_service/make_test_network.py | ale180192/googleads-python-lib | 783a2d40a49956fb16ed73280708f6f9e322aa09 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# Copyright 2015 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 35.185185 | 79 | 0.748421 |
from googleads import ad_manager
def main(client):
network_service = client.GetService('NetworkService', version='v201905')
network = network_service.makeTestNetwork()
print('Test network with network code "%s" and display name "%s" '
'created.' % (network['networkCode'], n... | true | true |
f754b4eef1ded224906400e7c86ef365a165ade3 | 4,671 | py | Python | globus_cli/commands/task/show.py | glentner/globus-cli | a6542d6824cc123f60088bf2602cd7a0fdb0e64e | [
"Apache-2.0"
] | null | null | null | globus_cli/commands/task/show.py | glentner/globus-cli | a6542d6824cc123f60088bf2602cd7a0fdb0e64e | [
"Apache-2.0"
] | null | null | null | globus_cli/commands/task/show.py | glentner/globus-cli | a6542d6824cc123f60088bf2602cd7a0fdb0e64e | [
"Apache-2.0"
] | null | null | null | import click
from globus_cli.parsing import command, task_id_arg
from globus_cli.safeio import FORMAT_TEXT_RECORD, formatted_print
from globus_cli.services.transfer import get_client, iterable_response_to_dict
COMMON_FIELDS = [
("Label", "label"),
("Task ID", "task_id"),
("Is Paused", "is_paused"),
("... | 26.539773 | 80 | 0.677585 | import click
from globus_cli.parsing import command, task_id_arg
from globus_cli.safeio import FORMAT_TEXT_RECORD, formatted_print
from globus_cli.services.transfer import get_client, iterable_response_to_dict
COMMON_FIELDS = [
("Label", "label"),
("Task ID", "task_id"),
("Is Paused", "is_paused"),
("... | true | true |
f754b70793fd958c5c95543d067a2dc334f4cb71 | 9,858 | py | Python | modules/common_builder.py | Kandongwe/RunestoneServer | f555868521b3717beec0ec42dbcbcb443c64686c | [
"MIT"
] | 344 | 2015-10-15T20:03:57.000Z | 2022-03-25T18:37:42.000Z | modules/common_builder.py | Kandongwe/RunestoneServer | f555868521b3717beec0ec42dbcbcb443c64686c | [
"MIT"
] | 1,170 | 2015-10-15T08:17:03.000Z | 2022-03-28T14:32:47.000Z | modules/common_builder.py | Kandongwe/RunestoneServer | f555868521b3717beec0ec42dbcbcb443c64686c | [
"MIT"
] | 278 | 2015-10-12T23:44:38.000Z | 2022-03-19T09:22:47.000Z | # ************************************************************
# |docname| - Routines shared between the server and WAF build
# ************************************************************
#
# Imports
# =======
# These are listed in the order prescribed by `PEP 8
# <http://www.python.org/dev/peps/pep-0008/#imports>`_.
... | 34.229167 | 233 | 0.615946 |
texit
import os
from pathlib import Path
import random
import subprocess
from tempfile import TemporaryDirectory
import threading
import time
_tls = threading.local()
def get_sim_str_sim30(
sim_mcu,
elf_file,
uart_out_file,
optional_commands="",
):
... | true | true |
f754b78b35458e3b36c142e7d8fd6d42b2ba75e3 | 1,833 | py | Python | webStorm-APICloud/python_tools/Lib/test/test_mimetools.py | zzr925028429/androidyianyan | 8967fdba92473e8e65ee222515dfc54cdae5bb0b | [
"MIT"
] | 81 | 2017-03-13T08:24:01.000Z | 2021-04-02T09:48:38.000Z | webStorm-APICloud/python_tools/Lib/test/test_mimetools.py | zzr925028429/androidyianyan | 8967fdba92473e8e65ee222515dfc54cdae5bb0b | [
"MIT"
] | 6 | 2017-04-30T08:36:55.000Z | 2017-09-22T01:37:28.000Z | webStorm-APICloud/python_tools/Lib/test/test_mimetools.py | zzr925028429/androidyianyan | 8967fdba92473e8e65ee222515dfc54cdae5bb0b | [
"MIT"
] | 41 | 2017-03-18T14:11:58.000Z | 2021-04-14T05:06:09.000Z | import unittest
from test import test_support
import string
import StringIO
mimetools = test_support.import_module("mimetools", deprecated=True)
msgtext1 = mimetools.Message(StringIO.StringIO(
"""Content-Type: text/plain; charset=iso-8859-1; format=flowed
Content-Transfer-Encoding: 8bit
Foo!
"""))
c... | 33.944444 | 82 | 0.609929 | import unittest
from test import test_support
import string
import StringIO
mimetools = test_support.import_module("mimetools", deprecated=True)
msgtext1 = mimetools.Message(StringIO.StringIO(
"""Content-Type: text/plain; charset=iso-8859-1; format=flowed
Content-Transfer-Encoding: 8bit
Foo!
"""))
c... | true | true |
f754b7937d37d93ccd574242d0758004a73fc98b | 459 | py | Python | setup.py | Ar4ikov/matcensor | b899e2d54539eb3a2a80c9e5f2503af4054dbcfd | [
"Apache-2.0"
] | null | null | null | setup.py | Ar4ikov/matcensor | b899e2d54539eb3a2a80c9e5f2503af4054dbcfd | [
"Apache-2.0"
] | null | null | null | setup.py | Ar4ikov/matcensor | b899e2d54539eb3a2a80c9e5f2503af4054dbcfd | [
"Apache-2.0"
] | null | null | null | from distutils.core import setup
import matcensor.main
setup(
name='matcensor',
version=matcensor.main.__version__,
packages=['matcensor'],
url='https://github.com/Ar4ikov/matcensor',
license='Apache 2.0',
author='Nikita Archikov',
author_email='bizy18588@gmail.com',
descript... | 28.6875 | 79 | 0.684096 | from distutils.core import setup
import matcensor.main
setup(
name='matcensor',
version=matcensor.main.__version__,
packages=['matcensor'],
url='https://github.com/Ar4ikov/matcensor',
license='Apache 2.0',
author='Nikita Archikov',
author_email='bizy18588@gmail.com',
descript... | true | true |
f754b86be040314f8b2f812255b2df211167f5ca | 33,518 | py | Python | packages/@jsii/python-runtime/tests/test_compliance.py | NyanKiyoshi/jsii | 6c7ef9d97f46537157031d51548ba8de480a59e8 | [
"Apache-2.0"
] | null | null | null | packages/@jsii/python-runtime/tests/test_compliance.py | NyanKiyoshi/jsii | 6c7ef9d97f46537157031d51548ba8de480a59e8 | [
"Apache-2.0"
] | null | null | null | packages/@jsii/python-runtime/tests/test_compliance.py | NyanKiyoshi/jsii | 6c7ef9d97f46537157031d51548ba8de480a59e8 | [
"Apache-2.0"
] | null | null | null | import platform
from datetime import datetime, timezone
import pytest
import jsii
from json import loads
from jsii_calc import (
AbstractClassReturner,
Add,
AllTypes,
AllTypesEnum,
AmbiguousParameters,
AsyncVirtualMethods,
Bell,
Calculator,
ClassWithPrivateConstructorAndAutomati... | 29.583407 | 158 | 0.71308 | import platform
from datetime import datetime, timezone
import pytest
import jsii
from json import loads
from jsii_calc import (
AbstractClassReturner,
Add,
AllTypes,
AllTypesEnum,
AmbiguousParameters,
AsyncVirtualMethods,
Bell,
Calculator,
ClassWithPrivateConstructorAndAutomati... | true | true |
f754b876057a1c17f486b6ee6718ef24463529f7 | 21 | py | Python | model/__init__.py | brendan-bassett/Tiny-Ticker | 955e2bf93c660dcd20a7c7f2e7fcd624fc4221d1 | [
"MIT"
] | 1 | 2020-05-22T00:51:38.000Z | 2020-05-22T00:51:38.000Z | model/__init__.py | brendan-bassett/Tiny-Ticker | 955e2bf93c660dcd20a7c7f2e7fcd624fc4221d1 | [
"MIT"
] | 17 | 2020-03-01T01:23:50.000Z | 2021-03-31T19:47:33.000Z | model/__init__.py | brendan-bassett/Tiny-Ticker | 955e2bf93c660dcd20a7c7f2e7fcd624fc4221d1 | [
"MIT"
] | 2 | 2020-04-26T18:55:13.000Z | 2020-05-04T21:51:34.000Z | """model.__init__.""" | 21 | 21 | 0.619048 | true | true | |
f754b91d6930def4472fa54b32ab5d1ee48a2789 | 1,253 | py | Python | b2sdk/v1/__init__.py | KernelErr/b2-sdk-python | 5310ebdf29f073895f34ffe58893fc50ebdd8c83 | [
"MIT"
] | 128 | 2019-02-02T17:53:23.000Z | 2022-03-28T09:28:35.000Z | b2sdk/v1/__init__.py | KernelErr/b2-sdk-python | 5310ebdf29f073895f34ffe58893fc50ebdd8c83 | [
"MIT"
] | 168 | 2019-02-26T22:14:16.000Z | 2022-03-27T06:25:28.000Z | b2sdk/v1/__init__.py | KernelErr/b2-sdk-python | 5310ebdf29f073895f34ffe58893fc50ebdd8c83 | [
"MIT"
] | 52 | 2019-01-28T16:40:56.000Z | 2022-03-14T19:55:05.000Z | ######################################################################
#
# File: b2sdk/v1/__init__.py
#
# Copyright 2019 Backblaze Inc. All Rights Reserved.
#
# License https://www.backblaze.com/using_b2_code.html
#
######################################################################
from b2sdk.v2 import * # noqa
f... | 36.852941 | 100 | 0.727055 | true | true | |
f754b94d804473be2c311d40e37ef4a5377c8c60 | 1,130 | py | Python | test/gst-msdk/decode/av1.py | Bin-CI/vaapi-fits | 9c43ea65f7fe99f11fa3c49bb14d30f5de09f010 | [
"BSD-3-Clause"
] | 19 | 2019-03-05T01:59:05.000Z | 2022-01-11T15:31:49.000Z | test/gst-msdk/decode/av1.py | Bin-CI/vaapi-fits | 9c43ea65f7fe99f11fa3c49bb14d30f5de09f010 | [
"BSD-3-Clause"
] | 213 | 2019-01-29T18:44:05.000Z | 2022-03-30T05:57:04.000Z | test/gst-msdk/decode/av1.py | Bin-CI/vaapi-fits | 9c43ea65f7fe99f11fa3c49bb14d30f5de09f010 | [
"BSD-3-Clause"
] | 26 | 2019-01-29T05:21:22.000Z | 2022-02-09T00:57:35.000Z | ###
### Copyright (C) 2018-2020 Intel Corporation
###
### SPDX-License-Identifier: BSD-3-Clause
###
from ....lib import *
from ....lib.gstreamer.msdk.util import *
from ....lib.gstreamer.msdk.decoder import DecoderTest
spec = load_test_spec("av1", "decode", "8bit")
@slash.requires(*platform.have_caps("decode", "av1_... | 28.974359 | 83 | 0.617699 | slash.requires(*platform.have_caps("decode", "av1_8"))
@slash.requires(*have_gst_element("msdkav1dec"))
class default(DecoderTest):
def before(self):
super().before()
vars(self).update(
metric = dict(type = "ssim", miny = 1.0, minu = 1.0, minv = 1.0),
caps = platform.get_caps("d... | true | true |
f754ba213d58bc05e6fd9f533332c9c56e12c7c6 | 4,190 | py | Python | src/engine/core.py | libercapital/dados_publicos_cnpj_receita_federal | a02f98ebb1e5aa64539cc371d94ba78a49647214 | [
"MIT"
] | 7 | 2022-02-04T22:02:01.000Z | 2022-03-08T22:55:29.000Z | src/engine/core.py | libercapital/dados_publicos_cnpj_receita_federal | a02f98ebb1e5aa64539cc371d94ba78a49647214 | [
"MIT"
] | 3 | 2022-02-04T22:48:01.000Z | 2022-02-10T01:53:00.000Z | src/engine/core.py | libercapital/dados_publicos_cnpj_receita_federal | a02f98ebb1e5aa64539cc371d94ba78a49647214 | [
"MIT"
] | 1 | 2022-03-18T17:07:18.000Z | 2022-03-18T17:07:18.000Z | import json
import os
from abc import ABC, abstractmethod
from src import DATA_FOLDER, UNZIPED_FOLDER_NAME
from src import settings
from src.db_models.models import dict_db_models
from src.io import CNAE_JSON_NAME, NATJU_JSON_NAME, QUAL_SOCIO_JSON_NAME, MOTIVOS_JSON_NAME, PAIS_JSON_NAME, \
MUNIC_JSON_NAME
... | 40.679612 | 245 | 0.670167 | import json
import os
from abc import ABC, abstractmethod
from src import DATA_FOLDER, UNZIPED_FOLDER_NAME
from src import settings
from src.db_models.models import dict_db_models
from src.io import CNAE_JSON_NAME, NATJU_JSON_NAME, QUAL_SOCIO_JSON_NAME, MOTIVOS_JSON_NAME, PAIS_JSON_NAME, \
MUNIC_JSON_NAME
... | true | true |
f754bb1299c45cad7b819d6496b66c57514162bf | 9,977 | py | Python | integration-test/546-road-sort-keys-roads.py | rinnyB/vector-datasource | 024909ed8245a4ad4a25c908413ba3602de6c335 | [
"MIT"
] | null | null | null | integration-test/546-road-sort-keys-roads.py | rinnyB/vector-datasource | 024909ed8245a4ad4a25c908413ba3602de6c335 | [
"MIT"
] | 2 | 2021-03-31T20:22:37.000Z | 2021-12-13T20:50:11.000Z | integration-test/546-road-sort-keys-roads.py | rinnyB/vector-datasource | 024909ed8245a4ad4a25c908413ba3602de6c335 | [
"MIT"
] | null | null | null | # -*- encoding: utf-8 -*-
from shapely.wkt import loads as wkt_loads
import dsl
from . import FixtureTest
class RoadSortKeysRoads(FixtureTest):
def test_motorway(self):
# regular roads
self.generate_fixtures(dsl.way(26765956, wkt_loads('LINESTRING (-122.47355250051 37.80545687798148, -122.47367862... | 112.101124 | 1,117 | 0.694598 |
from shapely.wkt import loads as wkt_loads
import dsl
from . import FixtureTest
class RoadSortKeysRoads(FixtureTest):
def test_motorway(self):
self.generate_fixtures(dsl.way(26765956, wkt_loads('LINESTRING (-122.47355250051 37.80545687798148, -122.473678623976 37.8055673159144, -122.473820108633... | true | true |
f754bb652248df09e814fcc0bafcaed896447f47 | 2,251 | py | Python | prepare_data.py | rheinonen/hw_ml | 516f707ef2ec2b611333df1c1f94fcab4a9e8457 | [
"MIT"
] | 1 | 2019-09-26T17:13:25.000Z | 2019-09-26T17:13:25.000Z | prepare_data.py | rheinonen/hw_ml | 516f707ef2ec2b611333df1c1f94fcab4a9e8457 | [
"MIT"
] | null | null | null | prepare_data.py | rheinonen/hw_ml | 516f707ef2ec2b611333df1c1f94fcab4a9e8457 | [
"MIT"
] | null | null | null | from boutdata.collect import collect
from boututils import calculus as calc
import math
import numpy as np
import bout_field as bf
phi=bf.Field(name='phi',dx=0.1)
n=bf.Field(name='n',dx=0.1)
vort=bf.Field(name='vort',dx=0.1)
print('collecting data')
phi.collect()
n.collect()
vort.collect()
print('computing mean fie... | 22.969388 | 137 | 0.768547 | from boutdata.collect import collect
from boututils import calculus as calc
import math
import numpy as np
import bout_field as bf
phi=bf.Field(name='phi',dx=0.1)
n=bf.Field(name='n',dx=0.1)
vort=bf.Field(name='vort',dx=0.1)
print('collecting data')
phi.collect()
n.collect()
vort.collect()
print('computing mean fie... | true | true |
f754bc2576ea950dbf3c7c62c5607d943563e6b6 | 421 | py | Python | parser/source/base/fetcher.py | 1pkg/ReRe | 83f77d2cece0fb5f6d7b86a395fcca7d4e16459f | [
"MIT"
] | 1 | 2019-12-17T10:31:48.000Z | 2019-12-17T10:31:48.000Z | parser/source/base/fetcher.py | c-pkg/ReRe | 83f77d2cece0fb5f6d7b86a395fcca7d4e16459f | [
"MIT"
] | null | null | null | parser/source/base/fetcher.py | c-pkg/ReRe | 83f77d2cece0fb5f6d7b86a395fcca7d4e16459f | [
"MIT"
] | 1 | 2019-04-29T08:19:36.000Z | 2019-04-29T08:19:36.000Z | from fake_useragent import UserAgent
class Fetcher:
TYPE_GET = 'get'
TYPE_POST = 'post'
DEFAULT_TIMEOUT = 5.0
def __init__(self, logger):
self._logger = logger
self._agent = UserAgent()
self._headers = {
'dnt': '1', # Do Not Track
'user-agent': self._... | 21.05 | 45 | 0.574822 | from fake_useragent import UserAgent
class Fetcher:
TYPE_GET = 'get'
TYPE_POST = 'post'
DEFAULT_TIMEOUT = 5.0
def __init__(self, logger):
self._logger = logger
self._agent = UserAgent()
self._headers = {
'dnt': '1',
'user-agent': self._agent.random,
... | true | true |
f754bcef95d4fba64b94f121fca4c88a644789fd | 314 | py | Python | week_2/45_lesson.py | SekachVitaliy/Python | 4d199a571cfedca51ec6e724e4d8c98e086e984d | [
"Unlicense"
] | null | null | null | week_2/45_lesson.py | SekachVitaliy/Python | 4d199a571cfedca51ec6e724e4d8c98e086e984d | [
"Unlicense"
] | null | null | null | week_2/45_lesson.py | SekachVitaliy/Python | 4d199a571cfedca51ec6e724e4d8c98e086e984d | [
"Unlicense"
] | null | null | null | """
Последовательность Фибоначчи определяется так:
F[0] = 0, F[1] = 1, ..., F[n] = F[n-1] + F[n-2].
По данному числу n определите n-е число Фибоначчи F[n].
Формат ввода
Вводится натуральное число n.
"""
num1 = num2 = 1
n = int(input()) - 2
while n > 0:
num1, num2 = num2, num1 + num2
n -= 1
print(num2)
| 18.470588 | 55 | 0.611465 | num1 = num2 = 1
n = int(input()) - 2
while n > 0:
num1, num2 = num2, num1 + num2
n -= 1
print(num2)
| true | true |
f754be069aec428e18a86b8a6f964ad90aceb614 | 6,256 | py | Python | p_q_search.py | ehgh/product-rationalization | 42aaa8167f2981a9e2d9790ff2743310acdc3f81 | [
"MIT"
] | null | null | null | p_q_search.py | ehgh/product-rationalization | 42aaa8167f2981a9e2d9790ff2743310acdc3f81 | [
"MIT"
] | null | null | null | p_q_search.py | ehgh/product-rationalization | 42aaa8167f2981a9e2d9790ff2743310acdc3f81 | [
"MIT"
] | null | null | null | import basket_completion as bc
import basket_generation as bg
import sys
import itertools
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import os
import pandas
import warnings
import pickle
warnings.simplefilter(action='ignore', category=FutureWarning)
sys.path.insert(0, "../node2vec_embedding... | 34.373626 | 103 | 0.485614 | import basket_completion as bc
import basket_generation as bg
import sys
import itertools
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import os
import pandas
import warnings
import pickle
warnings.simplefilter(action='ignore', category=FutureWarning)
sys.path.insert(0, "../node2vec_embedding... | true | true |
f754bf7e7001122d7ad5e6ea0b87f9562ef23f18 | 5,278 | py | Python | src/common/graph.py | Matej-Chmel/KVContest-data-test-suite | ff6db5a16b6653a9bb85876a88451dd8b9cc8bad | [
"CC0-1.0"
] | null | null | null | src/common/graph.py | Matej-Chmel/KVContest-data-test-suite | ff6db5a16b6653a9bb85876a88451dd8b9cc8bad | [
"CC0-1.0"
] | null | null | null | src/common/graph.py | Matej-Chmel/KVContest-data-test-suite | ff6db5a16b6653a9bb85876a88451dd8b9cc8bad | [
"CC0-1.0"
] | null | null | null | from itertools import zip_longest
import matplotlib.pyplot as plt
import numpy as np
def extract_sublist(source, idx, default=0):
"""Return list from elements at idx for each sublist in source
or default if such element is empty string.
Args:
source (list): List of sublists.
idx (int): Elem... | 29.819209 | 97 | 0.496969 | from itertools import zip_longest
import matplotlib.pyplot as plt
import numpy as np
def extract_sublist(source, idx, default=0):
return [sublist[idx] if sublist[idx] != '' else default for sublist in source]
class Bar:
def __init__(
self, upper=None, upper_label='', bottom=None, bottom_label='', ... | true | true |
f754c01f8a1dd92ed7494be24f047c0a1fef002a | 994 | py | Python | src/263-UglyNumber.py | Jiezhi/myleetcode | b346e94c46da2a3033ebc8ff50e621aa179c4f62 | [
"MIT"
] | 1 | 2022-03-03T15:11:48.000Z | 2022-03-03T15:11:48.000Z | src/263-UglyNumber.py | Jiezhi/myleetcode | b346e94c46da2a3033ebc8ff50e621aa179c4f62 | [
"MIT"
] | null | null | null | src/263-UglyNumber.py | Jiezhi/myleetcode | b346e94c46da2a3033ebc8ff50e621aa179c4f62 | [
"MIT"
] | 2 | 2022-01-20T22:49:58.000Z | 2022-01-20T22:53:13.000Z | #!/usr/bin/env python
"""
CREATED AT: 2021/10/7
Des:
https://leetcode.com/problems/ugly-number/
GITHUB: https://github.com/Jiezhi/myleetcode
Difficulty: Easy
"""
class Solution:
def isUgly(self, n: int) -> bool:
"""
1013 / 1013 test cases passed.
Status: Accepted
Runtime: 32 ms
... | 20.708333 | 44 | 0.480885 |
class Solution:
def isUgly(self, n: int) -> bool:
while True:
if n == 1:
return True
if n == 0:
return False
elif n % 2 == 0:
n = n / 2
elif n % 3 == 0:
n = n / 3
elif n % 5 == 0:
... | true | true |
f754c256f2eeb01ea536b3b835e6f91d1503cc3f | 703 | py | Python | pyxform/__init__.py | gushil/pyxform | d2463fcda5ca9d430c7cdfdb63461f54025fae11 | [
"BSD-2-Clause"
] | null | null | null | pyxform/__init__.py | gushil/pyxform | d2463fcda5ca9d430c7cdfdb63461f54025fae11 | [
"BSD-2-Clause"
] | null | null | null | pyxform/__init__.py | gushil/pyxform | d2463fcda5ca9d430c7cdfdb63461f54025fae11 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
pyxform is a Python library designed to make authoring XForms for ODK
Collect easy.
"""
__version__ = "1.5.0"
from pyxform.builder import (
SurveyElementBuilder,
create_survey,
create_survey_element_from_dict,
create_survey_from_path,
create_survey_from_xls,
)
from pyxf... | 28.12 | 76 | 0.803698 |
__version__ = "1.5.0"
from pyxform.builder import (
SurveyElementBuilder,
create_survey,
create_survey_element_from_dict,
create_survey_from_path,
create_survey_from_xls,
)
from pyxform.instance import SurveyInstance
from pyxform.question import InputQuestion, MultipleChoiceQuestion, Question
fro... | true | true |
f754c2b1577335b0e6908a04053663b6396e76ef | 16,517 | py | Python | wge/miniwob/state.py | stanfordnlp/wge | 710c6f37434c7aaad72460ee0f8df248c1c21053 | [
"Apache-2.0"
] | 81 | 2018-02-21T15:53:38.000Z | 2022-03-20T21:25:49.000Z | wge/miniwob/state.py | StephennFernandes/wge | 710c6f37434c7aaad72460ee0f8df248c1c21053 | [
"Apache-2.0"
] | 14 | 2018-03-09T19:04:43.000Z | 2020-12-06T13:54:40.000Z | wge/miniwob/state.py | StephennFernandes/wge | 710c6f37434c7aaad72460ee0f8df248c1c21053 | [
"Apache-2.0"
] | 38 | 2018-03-09T19:42:32.000Z | 2022-03-15T15:39:51.000Z | import re
import numpy as np
from collections import namedtuple
from cStringIO import StringIO
from PIL import Image
from selenium.webdriver.remote.webelement import WebElement
from wge.rl import State
from wge.utils import Phrase
class MiniWoBState(State):
"""MiniWoB state.
Warning: The return types might... | 31.824663 | 105 | 0.555488 | import re
import numpy as np
from collections import namedtuple
from cStringIO import StringIO
from PIL import Image
from selenium.webdriver.remote.webelement import WebElement
from wge.rl import State
from wge.utils import Phrase
class MiniWoBState(State):
HEIGHT = ROWS = 210
WIDTH = COLS = 160
P... | true | true |
f754c2dbb54840d7e98c6fc8bfc5d69b96651023 | 4,291 | py | Python | src/assignment_multiArmedBandit/epsilon_greedy_agent_bandit_mingap.py | RunzeXU/dissecting-reinforcement-learning | 36b418481aed016901c2da5132d44b05074929e9 | [
"MIT"
] | 7 | 2019-07-25T08:47:51.000Z | 2021-02-12T04:00:36.000Z | src/assignment_multiArmedBandit/epsilon_greedy_agent_bandit_mingap.py | RunzeXU/dissecting-reinforcement-learning | 36b418481aed016901c2da5132d44b05074929e9 | [
"MIT"
] | null | null | null | src/assignment_multiArmedBandit/epsilon_greedy_agent_bandit_mingap.py | RunzeXU/dissecting-reinforcement-learning | 36b418481aed016901c2da5132d44b05074929e9 | [
"MIT"
] | 6 | 2019-09-23T11:16:23.000Z | 2021-02-12T04:00:39.000Z | #!/usr/bin/env python
# MIT License
# Copyright (c) 2017 Massimiliano Patacchiola
# https://mpatacchiola.github.io/blog/
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction... | 43.785714 | 118 | 0.718947 |
from multi_armed_bandit import MultiArmedBandit
import numpy as np
import random
def return_rmse(predictions, targets):
return np.sqrt(((predictions - targets)**2).mean())
def return_epsilon_greedy_action(epsilon, reward_counter_array):
tot_actions = reward_counter_array.shape[0]
... | true | true |
f754c3e80be29451e984df5769c77a4cf4a65fe1 | 2,088 | py | Python | python/hsml/tensorflow/model.py | ravjot28/machine-learning-api | ba11c625b4890a56c34ebf68b45fedcc467ea840 | [
"Apache-2.0"
] | null | null | null | python/hsml/tensorflow/model.py | ravjot28/machine-learning-api | ba11c625b4890a56c34ebf68b45fedcc467ea840 | [
"Apache-2.0"
] | null | null | null | python/hsml/tensorflow/model.py | ravjot28/machine-learning-api | ba11c625b4890a56c34ebf68b45fedcc467ea840 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2021 Logical Clocks AB
#
# 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 ag... | 30.26087 | 80 | 0.639368 |
from hsml.model import Model
import humps
class Model(Model):
def __init__(
self,
id,
name,
version=None,
created=None,
environment=None,
description=None,
experiment_id=None,
project_name=None,
experiment_project_nam... | true | true |
f754c6d95ad8e212dc5e1b5e12906b6137a4bc9d | 2,973 | py | Python | appimagebuilder/recipe/reader.py | mssalvatore/appimage-builder | 2ecb7973cedfff9d03a21258419e515c48cafe84 | [
"MIT"
] | null | null | null | appimagebuilder/recipe/reader.py | mssalvatore/appimage-builder | 2ecb7973cedfff9d03a21258419e515c48cafe84 | [
"MIT"
] | null | null | null | appimagebuilder/recipe/reader.py | mssalvatore/appimage-builder | 2ecb7973cedfff9d03a21258419e515c48cafe84 | [
"MIT"
] | null | null | null | # Copyright 2020 Alexis Lopez Zubieta
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, publi... | 38.115385 | 112 | 0.669358 |
import os
import re
import yaml
from appimagebuilder.recipe.errors import RecipeError
def read_recipe(path=None, data=None, tag="!ENV"):
pattern = re.compile(".*?\${(\w+)}.*?")
loader = yaml.SafeLoader
loader.add_implicit_resolver(tag, pattern, None)
def constructor_env_v... | true | true |
f754c72ffb9265cfed27b504d38730f5d180db82 | 1,743 | py | Python | util.py | eth-sri/transformation-smoothing | 12a653e881a6d61c5c63a3e16d58292435486cbd | [
"Apache-2.0"
] | 3 | 2020-11-07T18:12:50.000Z | 2021-06-11T22:56:09.000Z | util.py | eth-sri/transformation-smoothing | 12a653e881a6d61c5c63a3e16d58292435486cbd | [
"Apache-2.0"
] | null | null | null | util.py | eth-sri/transformation-smoothing | 12a653e881a6d61c5c63a3e16d58292435486cbd | [
"Apache-2.0"
] | null | null | null | import PIL
import PIL.Image
from functional import compose
import numpy as np
import argparse
lmap = compose(list, map)
def str2bool(v):
if v.lower() in ('yes', 'true', 't', 'y', '1'):
return True
elif v.lower() in ('no', 'false', 'f', 'n', '0'):
return False
else:
raise argparse... | 24.208333 | 112 | 0.588067 | import PIL
import PIL.Image
from functional import compose
import numpy as np
import argparse
lmap = compose(list, map)
def str2bool(v):
if v.lower() in ('yes', 'true', 't', 'y', '1'):
return True
elif v.lower() in ('no', 'false', 'f', 'n', '0'):
return False
else:
raise argparse... | true | true |
f754c76341fe505c8769c8811be5a42ebbab7d04 | 212 | py | Python | healthcare/healthcare/doctype/clinical_procedure_template/test_clinical_procedure_template.py | ChillarAnand/healthcare | 59a79ed2e6f7175bbdb72a2592661c3a106f4108 | [
"MIT"
] | null | null | null | healthcare/healthcare/doctype/clinical_procedure_template/test_clinical_procedure_template.py | ChillarAnand/healthcare | 59a79ed2e6f7175bbdb72a2592661c3a106f4108 | [
"MIT"
] | null | null | null | healthcare/healthcare/doctype/clinical_procedure_template/test_clinical_procedure_template.py | ChillarAnand/healthcare | 59a79ed2e6f7175bbdb72a2592661c3a106f4108 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2017, earthians and Contributors
# See license.txt
from __future__ import unicode_literals
import unittest
class TestClinicalProcedureTemplate(unittest.TestCase):
pass
| 19.272727 | 55 | 0.778302 |
from __future__ import unicode_literals
import unittest
class TestClinicalProcedureTemplate(unittest.TestCase):
pass
| true | true |
f754c8ab10e02105708201ce30a23a87a9507f11 | 517 | py | Python | api/farm_health/farm_health/barns/migrations/0005_sensordatapoint_barn.py | mabjardeleza/precision-farming-ph | 4a3b3c52fa540630b0496895fe97e1dce8f5b823 | [
"MIT"
] | null | null | null | api/farm_health/farm_health/barns/migrations/0005_sensordatapoint_barn.py | mabjardeleza/precision-farming-ph | 4a3b3c52fa540630b0496895fe97e1dce8f5b823 | [
"MIT"
] | 17 | 2020-02-11T23:49:53.000Z | 2022-03-08T22:39:07.000Z | api/farm_health/farm_health/barns/migrations/0005_sensordatapoint_barn.py | mabjardeleza/precision-farming-ph | 4a3b3c52fa540630b0496895fe97e1dce8f5b823 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.2 on 2018-11-10 16:31
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('barns', '0004_auto_20181111_0014'),
]
operations = [
migrations.AddField(
model_name='sensordat... | 24.619048 | 109 | 0.636364 |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('barns', '0004_auto_20181111_0014'),
]
operations = [
migrations.AddField(
model_name='sensordatapoint',
name='barn',
f... | true | true |
f754c8aeda9e15004b1912fb1e614ba7da81aa5d | 23,804 | py | Python | hddcoin/full_node/mempool_manager.py | zcomputerwiz/hddcoin-light-wallet | cf059817fff9753ce4b499edefc4deb39703248c | [
"Apache-2.0"
] | null | null | null | hddcoin/full_node/mempool_manager.py | zcomputerwiz/hddcoin-light-wallet | cf059817fff9753ce4b499edefc4deb39703248c | [
"Apache-2.0"
] | null | null | null | hddcoin/full_node/mempool_manager.py | zcomputerwiz/hddcoin-light-wallet | cf059817fff9753ce4b499edefc4deb39703248c | [
"Apache-2.0"
] | null | null | null | import asyncio
import collections
import dataclasses
import logging
import time
from concurrent.futures.process import ProcessPoolExecutor
from typing import Dict, List, Optional, Set, Tuple
from blspy import G1Element
from chiabip158 import PyBIP158
from hddcoin.util import cached_bls
from hddcoin.consensus.block_rec... | 44.410448 | 118 | 0.639934 | import asyncio
import collections
import dataclasses
import logging
import time
from concurrent.futures.process import ProcessPoolExecutor
from typing import Dict, List, Optional, Set, Tuple
from blspy import G1Element
from chiabip158 import PyBIP158
from hddcoin.util import cached_bls
from hddcoin.consensus.block_rec... | true | true |
f754c928c20faa0ede7f85c08ea1af323ac47a44 | 7,707 | py | Python | losses.py | atlan-antillia/keras-efficientdet | 8dd3eccd5812063927dd32ff00a6e4164904ca76 | [
"Apache-2.0"
] | null | null | null | losses.py | atlan-antillia/keras-efficientdet | 8dd3eccd5812063927dd32ff00a6e4164904ca76 | [
"Apache-2.0"
] | null | null | null | losses.py | atlan-antillia/keras-efficientdet | 8dd3eccd5812063927dd32ff00a6e4164904ca76 | [
"Apache-2.0"
] | 1 | 2021-09-23T09:24:23.000Z | 2021-09-23T09:24:23.000Z | """
Copyright 2017-2018 Fizyr (https://fizyr.com)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agree... | 40.994681 | 151 | 0.626573 |
from tensorflow import keras
import tensorflow as tf
def focal(alpha=0.25, gamma=1.5):
def _focal(y_true, y_pred):
labels = y_true[:, :, :-1]
anchor_state = y_true[:, :, -1]
classification = y_pred
indices = tf.where(keras.backend.not_equal(anchor_... | true | true |
f754ca1bb79708a282fa2d0d3b546ce5964bd61d | 102 | py | Python | pythonteste/desafio07.py | dangiotto/Python | 29a9d18d7595a5c21e65dafc39f7fd4c55d8971c | [
"MIT"
] | 1 | 2020-10-17T03:23:59.000Z | 2020-10-17T03:23:59.000Z | pythonteste/desafio07.py | dangiotto/Python | 29a9d18d7595a5c21e65dafc39f7fd4c55d8971c | [
"MIT"
] | null | null | null | pythonteste/desafio07.py | dangiotto/Python | 29a9d18d7595a5c21e65dafc39f7fd4c55d8971c | [
"MIT"
] | null | null | null | n1 = float(input('Nota 1: '))
n2 = float(input('Nota 2 :'))
print ('Média : {:.2f}'.format((n1+n2)/2)) | 34 | 42 | 0.558824 | n1 = float(input('Nota 1: '))
n2 = float(input('Nota 2 :'))
print ('Média : {:.2f}'.format((n1+n2)/2)) | true | true |
f754caeb7fc5ab1b724347365836db82ce124e62 | 3,861 | py | Python | ibis/backends/base/file/__init__.py | harsharaj96/ibis | ab3de68eb6596eca5cc7cba8c3fdb583f6143a4e | [
"Apache-2.0"
] | null | null | null | ibis/backends/base/file/__init__.py | harsharaj96/ibis | ab3de68eb6596eca5cc7cba8c3fdb583f6143a4e | [
"Apache-2.0"
] | 1 | 2021-03-25T14:07:29.000Z | 2021-03-25T14:07:29.000Z | ibis/backends/base/file/__init__.py | harsharaj96/ibis | ab3de68eb6596eca5cc7cba8c3fdb583f6143a4e | [
"Apache-2.0"
] | 1 | 2017-11-30T13:32:23.000Z | 2017-11-30T13:32:23.000Z | from pathlib import Path
import ibis
import ibis.expr.types as ir
from ibis.backends.pandas.core import execute_and_reset
class FileClient(ibis.client.Client):
def __init__(self, backend, root):
self.dialect = backend.dialect
self.extension = backend.extension
self.table_class = backend.t... | 29.473282 | 64 | 0.578607 | from pathlib import Path
import ibis
import ibis.expr.types as ir
from ibis.backends.pandas.core import execute_and_reset
class FileClient(ibis.client.Client):
def __init__(self, backend, root):
self.dialect = backend.dialect
self.extension = backend.extension
self.table_class = backend.t... | true | true |
f754cbc6fd9a1c90799c8f1645e373f095719140 | 4,709 | py | Python | WeeklyProblems/week2(LnkedLsts)/week2.py | chandyego84/Summer22Prep | a2258939fff3762e7fbf8950e403fb54a14efb6c | [
"MIT"
] | null | null | null | WeeklyProblems/week2(LnkedLsts)/week2.py | chandyego84/Summer22Prep | a2258939fff3762e7fbf8950e403fb54a14efb6c | [
"MIT"
] | null | null | null | WeeklyProblems/week2(LnkedLsts)/week2.py | chandyego84/Summer22Prep | a2258939fff3762e7fbf8950e403fb54a14efb6c | [
"MIT"
] | null | null | null | '''
Week 2 Coding Question (Isaac Chepkwony):
Reversing a sublist: Given the head of a linked list and two positions 'p' and 'q',
reverse the linked list from position 'p' to 'q'.
Ex.:
Original List 1-> 2-> 3-> 4-> 5-> null if p=2 and q=4
Resulting List 1-> 4-> 3-> 2-> 5-> null
----------------------------------------... | 33.635714 | 104 | 0.53196 |
class node:
def __init__(self, data=None):
self.data = data
self.next = None
class linked_list:
def __init__(self):
self.head = node()
def append(self, data):
new_node = node(data)
curr = self.head
if (new_node != None):
if (... | true | true |
f754cc008a3a30ae4637e75fdbd56776b26b148b | 2,972 | py | Python | docs/conf.py | bgmnbear/tornado-zh | 14f4412a802fbf116bac7b046739c6541623e9ba | [
"MIT"
] | 184 | 2015-11-18T16:11:18.000Z | 2021-12-27T06:22:23.000Z | docs/conf.py | buptxtc/tornado-zh | e9e8519beb147d9e1290f6a4fa7d61123d1ecb1c | [
"MIT"
] | 17 | 2015-11-30T15:18:37.000Z | 2022-02-11T03:37:50.000Z | docs/conf.py | buptxtc/tornado-zh | e9e8519beb147d9e1290f6a4fa7d61123d1ecb1c | [
"MIT"
] | 84 | 2015-12-16T01:19:50.000Z | 2022-03-10T05:52:06.000Z | # Ensure we get the local copy of tornado instead of what's on the standard path
import os
import sys
import time
sys.path.insert(0, os.path.abspath(".."))
import tornado
master_doc = "index"
project = "Tornado"
copyright = "2009-%s, The Tornado Authors" % time.strftime("%Y")
version = release = tornado.version
lan... | 27.018182 | 95 | 0.707268 |
import os
import sys
import time
sys.path.insert(0, os.path.abspath(".."))
import tornado
master_doc = "index"
project = "Tornado"
copyright = "2009-%s, The Tornado Authors" % time.strftime("%Y")
version = release = tornado.version
language = 'zh_CN'
extensions = [
"sphinx.ext.autodoc",
"sphinx.ext.covera... | true | true |
f754cd9759ed43af23db7049de22326aa8b15d09 | 570 | py | Python | BeagleBone/Black/seqLEDs.py | beagleboard/VSX-examples | 85471ca029b647eb309790c3898ea79af0348f28 | [
"MIT"
] | 1 | 2021-12-14T18:15:10.000Z | 2021-12-14T18:15:10.000Z | BeagleBone/Black/seqLEDs.py | silver2row/vsx-examples | 3109078d473c32703a37435cee61fad14d5735fe | [
"MIT"
] | 1 | 2021-12-14T18:11:53.000Z | 2021-12-14T18:11:53.000Z | BeagleBone/Black/seqLEDs.py | silver2row/vsx-examples | 3109078d473c32703a37435cee61fad14d5735fe | [
"MIT"
] | 2 | 2021-12-17T19:05:53.000Z | 2021-12-29T08:31:30.000Z | #!/usr/bin/env python3
# ////////////////////////////////////////
# // seqLED.py
# // Blinks the USR LEDs in sequence.
# // Wiring:
# // Setup:
# // See:
# ////////////////////////////////////////
# // Tested: rcn-ee: 2021.12.15 - BBGG - 5.15.6-bone14
import Adafruit_BBIO.GPIO as GPIO
import time
LEDs=4
for i in ran... | 21.923077 | 54 | 0.5 |
import Adafruit_BBIO.GPIO as GPIO
import time
LEDs=4
for i in range(LEDs):
GPIO.setup("USR%d" % i, GPIO.OUT)
while True:
for i in range(LEDs):
GPIO.output("USR%d" % i, GPIO.HIGH)
time.sleep(0.25)
for i in range(LEDs):
GPIO.output("USR%d" % i, GPIO.LOW)
time.sleep... | true | true |
f754ce2576c007d709c30d201270cfaf6c99c22a | 2,457 | py | Python | userbot/modules/randompp.py | raisnug980/King-Userbot | 9df9dced64e548f7b52f60862c89a8e2b66e731f | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 1 | 2022-02-17T05:47:13.000Z | 2022-02-17T05:47:13.000Z | userbot/modules/randompp.py | raisnug980/King-Userbot | 9df9dced64e548f7b52f60862c89a8e2b66e731f | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | userbot/modules/randompp.py | raisnug980/King-Userbot | 9df9dced64e548f7b52f60862c89a8e2b66e731f | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | # credits to the respective owner xD
# imported by @heyworld
import requests
import re
import random
import urllib
import os
from telethon.tl import functions
import asyncio
from userbot import CMD_HELP
from userbot.events import register
COLLECTION_STRING = [
"epic-fantasy-wallpaper",
"castle-in-the-sky-... | 22.962617 | 82 | 0.655678 |
import requests
import re
import random
import urllib
import os
from telethon.tl import functions
import asyncio
from userbot import CMD_HELP
from userbot.events import register
COLLECTION_STRING = [
"epic-fantasy-wallpaper",
"castle-in-the-sky-wallpaper",
"fantasy-forest-wallpaper",
"fantasy-wa... | true | true |
f754ce40c03b3e8cd600d566035ff43346f2f9d1 | 5,316 | py | Python | tests/test_link.py | kaitumisuuringute-keskus/quantipy3 | 4066f22d1bda38a7082fb055d8a35bef8a7cd786 | [
"MIT"
] | null | null | null | tests/test_link.py | kaitumisuuringute-keskus/quantipy3 | 4066f22d1bda38a7082fb055d8a35bef8a7cd786 | [
"MIT"
] | null | null | null | tests/test_link.py | kaitumisuuringute-keskus/quantipy3 | 4066f22d1bda38a7082fb055d8a35bef8a7cd786 | [
"MIT"
] | null | null | null | import unittest
import os.path
import pandas as pd
# import numpy as np
from quantipy import dataframe_fix_string_types
from quantipy.core.link import Link
from quantipy.core.stack import Stack
from quantipy.core.helpers.functions import load_json
from quantipy.core.view_generators.view_maps import QuantipyViews
class... | 32.414634 | 109 | 0.544771 | import unittest
import os.path
import pandas as pd
from quantipy import dataframe_fix_string_types
from quantipy.core.link import Link
from quantipy.core.stack import Stack
from quantipy.core.helpers.functions import load_json
from quantipy.core.view_generators.view_maps import QuantipyViews
class TestLinkObject(unit... | true | true |
f754ced3330fa55280376fc644baf0f503ce8914 | 10,741 | py | Python | superset/views/database/mixins.py | dorayx/incubator-superset | 8ec61d013a8078c974c8c6b268224e4af079c48b | [
"Apache-2.0"
] | null | null | null | superset/views/database/mixins.py | dorayx/incubator-superset | 8ec61d013a8078c974c8c6b268224e4af079c48b | [
"Apache-2.0"
] | 21 | 2020-04-14T21:40:35.000Z | 2021-04-16T17:04:00.000Z | superset/views/database/mixins.py | dorayx/x-superset | 8ec61d013a8078c974c8c6b268224e4af079c48b | [
"Apache-2.0"
] | 3 | 2021-05-31T16:53:52.000Z | 2022-02-22T06:01:11.000Z | # 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... | 40.228464 | 88 | 0.604879 |
import inspect
from flask import Markup
from flask_babel import lazy_gettext as _
from sqlalchemy import MetaData
from superset import app, security_manager
from superset.exceptions import CertificateException, SupersetException
from superset.security.analytics_db_safety import check_sqlalchemy_uri
fr... | true | true |
f754cf3af6471cd137d35244c5be540222eba764 | 459 | py | Python | webapp/apps/taxbrain/migrations/0011_taxsaveinputs_job_ids.py | OpenSourcePolicyCenter/PolicyBrain | 5edffcd5cf8bb6544afc1ed982636abe66e246e1 | [
"MIT"
] | 13 | 2017-11-07T15:54:42.000Z | 2018-09-27T20:56:28.000Z | webapp/apps/taxbrain/migrations/0011_taxsaveinputs_job_ids.py | OpenSourcePolicyCenter/webapp-public | 5edffcd5cf8bb6544afc1ed982636abe66e246e1 | [
"MIT"
] | 547 | 2015-08-07T21:32:51.000Z | 2017-09-14T21:25:43.000Z | webapp/apps/taxbrain/migrations/0011_taxsaveinputs_job_ids.py | OpenSourcePolicyCenter/webapp-public | 5edffcd5cf8bb6544afc1ed982636abe66e246e1 | [
"MIT"
] | 23 | 2015-08-07T20:55:39.000Z | 2017-08-25T19:20:20.000Z | # -*- coding: utf-8 -*-
from django.db import models, migrations
import webapp.apps.taxbrain.models
class Migration(migrations.Migration):
dependencies = [
('taxbrain', '0010_auto_20151016_0302'),
]
operations = [
migrations.AddField(
model_name='taxsaveinputs',
... | 21.857143 | 104 | 0.62963 |
from django.db import models, migrations
import webapp.apps.taxbrain.models
class Migration(migrations.Migration):
dependencies = [
('taxbrain', '0010_auto_20151016_0302'),
]
operations = [
migrations.AddField(
model_name='taxsaveinputs',
name='job_ids',
... | true | true |
f754cfaef3b936365ae5b637807b312ff4b626dd | 13,688 | py | Python | tb_rest_client/api/api_pe/custom_translation_controller_api.py | samson0v/python_tb_rest_client | 08ff7898740f7cec2170e85d5c3c89e222e967f7 | [
"Apache-2.0"
] | 30 | 2020-06-19T06:42:50.000Z | 2021-08-23T21:16:36.000Z | tb_rest_client/api/api_pe/custom_translation_controller_api.py | samson0v/python_tb_rest_client | 08ff7898740f7cec2170e85d5c3c89e222e967f7 | [
"Apache-2.0"
] | 25 | 2021-08-30T01:17:27.000Z | 2022-03-16T14:10:14.000Z | tb_rest_client/api/api_pe/custom_translation_controller_api.py | samson0v/python_tb_rest_client | 08ff7898740f7cec2170e85d5c3c89e222e967f7 | [
"Apache-2.0"
] | 23 | 2020-07-06T13:41:54.000Z | 2021-08-23T21:04:50.000Z | # coding: utf-8
"""
ThingsBoard REST API
ThingsBoard Professional Edition IoT platform REST API documentation. # noqa: E501
OpenAPI spec version: 3.3.3PAAS-RC1
Contact: info@thingsboard.io
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_impo... | 45.174917 | 680 | 0.651227 |
from __future__ import absolute_import
import re
import six
from tb_rest_client.api_client import ApiClient
class CustomTranslationControllerApi(object):
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def... | true | true |
f754d1013780addb3d960c65d61ece49c61616f1 | 198,675 | py | Python | test/test_jit_cuda_fuser.py | xuhancn/pytorch | 5c7d916c3d287f6c86f4d59ca1e2b8cc4cd9cd3e | [
"Intel"
] | null | null | null | test/test_jit_cuda_fuser.py | xuhancn/pytorch | 5c7d916c3d287f6c86f4d59ca1e2b8cc4cd9cd3e | [
"Intel"
] | null | null | null | test/test_jit_cuda_fuser.py | xuhancn/pytorch | 5c7d916c3d287f6c86f4d59ca1e2b8cc4cd9cd3e | [
"Intel"
] | null | null | null | # Owner(s): ["oncall: jit"]
import unittest
import os
import random
import enum
import copy
from functools import reduce
import operator
import warnings
import torch
from torch.nn import functional
from torch.profiler import profile, ProfilerActivity
from torch.testing._internal.codegen.random_topo_test import runDe... | 41.459725 | 124 | 0.589656 |
import unittest
import os
import random
import enum
import copy
from functools import reduce
import operator
import warnings
import torch
from torch.nn import functional
from torch.profiler import profile, ProfilerActivity
from torch.testing._internal.codegen.random_topo_test import runDefaultTestWithSeed
from torc... | true | true |
f754d10faf045725d30069a95284aa1fabb422dd | 2,822 | py | Python | ArucoTrackerRS.py | vincent841/cameracalib | 94356af0bc14c61551710acbc287fba010b87e76 | [
"MIT"
] | 3 | 2020-11-08T18:13:02.000Z | 2021-01-28T14:45:09.000Z | ArucoTrackerRS.py | vincent841/cameracalib | 94356af0bc14c61551710acbc287fba010b87e76 | [
"MIT"
] | null | null | null | ArucoTrackerRS.py | vincent841/cameracalib | 94356af0bc14c61551710acbc287fba010b87e76 | [
"MIT"
] | null | null | null | import pyrealsense2 as rs
import numpy as np
import cv2
import cv2.aruco as aruco
import glob
calibFile = cv2.FileStorage("calibData.xml", cv2.FILE_STORAGE_READ)
cmnode = calibFile.getNode("cameraMatrix")
mtx = cmnode.mat()
dcnode = calibFile.getNode("distCoeff")
dist = dcnode.mat()
criteria = (cv2.TERM_CRITERIA_EPS ... | 31.707865 | 98 | 0.684975 | import pyrealsense2 as rs
import numpy as np
import cv2
import cv2.aruco as aruco
import glob
calibFile = cv2.FileStorage("calibData.xml", cv2.FILE_STORAGE_READ)
cmnode = calibFile.getNode("cameraMatrix")
mtx = cmnode.mat()
dcnode = calibFile.getNode("distCoeff")
dist = dcnode.mat()
criteria = (cv2.TERM_CRITERIA_EPS ... | true | true |
f754d196a373178371dc45ac03881fe6c062ace0 | 256 | py | Python | votainteligente_theme_red_ciudadana/urls.py | D3AH/VotaithemeGuate | f053b59414bfd4c93e0f67d22ae1ca4184949552 | [
"MIT"
] | null | null | null | votainteligente_theme_red_ciudadana/urls.py | D3AH/VotaithemeGuate | f053b59414bfd4c93e0f67d22ae1ca4184949552 | [
"MIT"
] | 1 | 2021-11-15T17:48:16.000Z | 2021-11-15T17:48:16.000Z | votainteligente_theme_red_ciudadana/urls.py | D3AH/VotaithemeGuate | f053b59414bfd4c93e0f67d22ae1ca4184949552 | [
"MIT"
] | 2 | 2019-02-04T20:53:46.000Z | 2019-02-16T13:47:54.000Z | from django.conf.urls import include, url
from django.views.generic import TemplateView
urlpatterns = [
url(r'^interes_candidato/$',
TemplateView.as_view(template_name='registro_interes_candidato.html'),
name='interes_candidato'),
]
| 25.6 | 78 | 0.738281 | from django.conf.urls import include, url
from django.views.generic import TemplateView
urlpatterns = [
url(r'^interes_candidato/$',
TemplateView.as_view(template_name='registro_interes_candidato.html'),
name='interes_candidato'),
]
| true | true |
f754d1f45eb67995ae5a4128b353b026280b3ee7 | 13,214 | py | Python | dynatrace/configuration_v1/notifications.py | radu-stefan-dt/api-client-python | 6c70301289b0a2642f0b1ad5093c1fcdd101fe57 | [
"Apache-2.0"
] | 23 | 2021-05-19T08:01:46.000Z | 2022-03-31T06:33:39.000Z | dynatrace/configuration_v1/notifications.py | radu-stefan-dt/api-client-python | 6c70301289b0a2642f0b1ad5093c1fcdd101fe57 | [
"Apache-2.0"
] | 19 | 2021-05-19T20:15:47.000Z | 2022-03-25T20:09:13.000Z | dynatrace/configuration_v1/notifications.py | radu-stefan-dt/api-client-python | 6c70301289b0a2642f0b1ad5093c1fcdd101fe57 | [
"Apache-2.0"
] | 10 | 2021-05-24T18:35:31.000Z | 2022-03-13T12:47:50.000Z | """
Copyright 2021 Dynatrace LLC
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
... | 47.024911 | 125 | 0.695399 |
from typing import List
from enum import Enum
from requests import Response
from dynatrace.pagination import PaginatedList
from dynatrace.dynatrace_object import DynatraceObject
from dynatrace.http_client import HttpClient
class NotificationType(Enum):
EMAIL = "EMAIL"
PAGER_DUTY = "PAGER_DUTY"
WEBHOOK =... | true | true |
f754d2af2ee3502e4bae0cd841619524c4d4793f | 77 | py | Python | rest_scaffold/__init__.py | gregschmit/django-rest-scaffold | f40e986359c3a43846b0e72d603a9e1c855f5597 | [
"MIT"
] | 2 | 2019-09-27T00:08:30.000Z | 2020-01-11T02:07:46.000Z | rest_scaffold/__init__.py | gregschmit/django-rest-scaffold | f40e986359c3a43846b0e72d603a9e1c855f5597 | [
"MIT"
] | null | null | null | rest_scaffold/__init__.py | gregschmit/django-rest-scaffold | f40e986359c3a43846b0e72d603a9e1c855f5597 | [
"MIT"
] | null | null | null | __version__ = "0.1.0"
default_app_config = "rest_scaffold.apps.CustomConfig"
| 25.666667 | 54 | 0.792208 | __version__ = "0.1.0"
default_app_config = "rest_scaffold.apps.CustomConfig"
| true | true |
f754d2b46b236a0d5442244ce0951444c9567acc | 104,304 | py | Python | mne/source_estimate.py | DraganaMana/mne-python | 83d48ec9e93bc176ae7fb8d000521ba3bd6b4c3c | [
"BSD-3-Clause"
] | null | null | null | mne/source_estimate.py | DraganaMana/mne-python | 83d48ec9e93bc176ae7fb8d000521ba3bd6b4c3c | [
"BSD-3-Clause"
] | 1 | 2020-04-24T15:35:41.000Z | 2020-04-24T15:35:41.000Z | mne/source_estimate.py | DraganaMana/mne-python | 83d48ec9e93bc176ae7fb8d000521ba3bd6b4c3c | [
"BSD-3-Clause"
] | null | null | null | # Authors: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Matti Hamalainen <msh@nmr.mgh.harvard.edu>
# Martin Luessi <mluessi@nmr.mgh.harvard.edu>
# Mads Jensen <mje.mads@gmail.com>
#
# License: BSD (3-clause)
import copy
import os.path as op
import numpy as np
from scipy imp... | 38.3894 | 89 | 0.588769 |
import copy
import os.path as op
import numpy as np
from scipy import linalg, sparse
from scipy.sparse import coo_matrix, block_diag as sparse_block_diag
from .filter import resample
from .fixes import einsum
from .evoked import _get_peak
from .surface import read_surface, _get_ico_surface, mesh_edges
from .sou... | true | true |
f754d4aa60d85fc6608d6da4001358335607960e | 2,579 | py | Python | tests/python/test_ena_api.py | mr-c/CWL-assembly | 4f98aa0ff6fd9a6c0712e35869c8a36f8bb22e52 | [
"Apache-2.0"
] | null | null | null | tests/python/test_ena_api.py | mr-c/CWL-assembly | 4f98aa0ff6fd9a6c0712e35869c8a36f8bb22e52 | [
"Apache-2.0"
] | null | null | null | tests/python/test_ena_api.py | mr-c/CWL-assembly | 4f98aa0ff6fd9a6c0712e35869c8a36f8bb22e52 | [
"Apache-2.0"
] | 1 | 2021-02-22T14:59:08.000Z | 2021-02-22T14:59:08.000Z | import pytest
from mock import patch
from src import ena_api
def get_acc(l):
return [r['run_accession'] for r in l]
def mocked_requests_post(*args, **kwargs):
class MockResponse:
def __init__(self, json_data, status_code):
self.json_data = json_data
self.status_code = status_... | 39.676923 | 116 | 0.680884 | import pytest
from mock import patch
from src import ena_api
def get_acc(l):
return [r['run_accession'] for r in l]
def mocked_requests_post(*args, **kwargs):
class MockResponse:
def __init__(self, json_data, status_code):
self.json_data = json_data
self.status_code = status_... | true | true |
f754d4b112ff8cef000d8352ed5a88648cdbe9fe | 1,073 | py | Python | scripts/simutils/extract_serial_restart_configs.py | acumb/LatticeDNAOrigami | 0f2522286adc9815865d4abfc55f546da40e606b | [
"MIT"
] | 5 | 2016-04-10T21:21:52.000Z | 2018-07-21T15:33:07.000Z | scripts/simutils/extract_serial_restart_configs.py | cumberworth/LatticeDNAOrigami | 71570107890e5de602cee2aacf7db9aea2907892 | [
"MIT"
] | 2 | 2020-09-16T13:07:13.000Z | 2020-09-16T13:08:02.000Z | scripts/simutils/extract_serial_restart_configs.py | cumberworth/LatticeDNAOrigami | 71570107890e5de602cee2aacf7db9aea2907892 | [
"MIT"
] | 2 | 2020-08-19T09:49:21.000Z | 2020-08-19T10:10:06.000Z | #!/usr/bin/env python
"""Extract final configurations for restarting serial runs."""
import argparse
import pdb
import sys
from origamipy import files
def main():
args = parse_args()
for temp in args.temps:
traj_inp_filename = '{}-{}.trj'.format(args.inp_filebase, temp)
traj_file = files.Un... | 23.844444 | 79 | 0.643989 |
import argparse
import pdb
import sys
from origamipy import files
def main():
args = parse_args()
for temp in args.temps:
traj_inp_filename = '{}-{}.trj'.format(args.inp_filebase, temp)
traj_file = files.UnparsedMultiLineStepInpFile(traj_inp_filename)
traj_out_filename = '{}-{}.trj... | true | true |
f754d5055edb52041f63f3896e3277d1071abfb8 | 348 | py | Python | python/filters.py | jpk2f2/CMP_SC_4650_3 | 2b1a84557ac280c70d7e19e4fdc6677ce10745dc | [
"MIT"
] | null | null | null | python/filters.py | jpk2f2/CMP_SC_4650_3 | 2b1a84557ac280c70d7e19e4fdc6677ce10745dc | [
"MIT"
] | null | null | null | python/filters.py | jpk2f2/CMP_SC_4650_3 | 2b1a84557ac280c70d7e19e4fdc6677ce10745dc | [
"MIT"
] | 1 | 2019-12-17T00:36:29.000Z | 2019-12-17T00:36:29.000Z | import numpy as np
# prewitt x and y filters
PREWITTX = np.array([[-1, 0, 1], [-1, 0, 1], [-1, 0, 1]], np.float32)
PREWITTY = np.array([[-1, -1, -1], [0, 0, 0], [1, 1, 1]], np.float32)
# Sobel x and y filters
SOBELX = np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]], np.float32)
SOBELY = np.array([[-1, -2, -1], [0, 0, 0... | 31.636364 | 69 | 0.514368 | import numpy as np
PREWITTX = np.array([[-1, 0, 1], [-1, 0, 1], [-1, 0, 1]], np.float32)
PREWITTY = np.array([[-1, -1, -1], [0, 0, 0], [1, 1, 1]], np.float32)
SOBELX = np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]], np.float32)
SOBELY = np.array([[-1, -2, -1], [0, 0, 0], [1, 2, 1]], np.float32)
| true | true |
f754d55ff2b664acf18674f9f89557b909f8fb07 | 2,077 | py | Python | research/cv/Pix2Pix/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 1 | 2021-07-03T06:52:20.000Z | 2021-07-03T06:52:20.000Z | research/cv/Pix2Pix/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | null | null | null | research/cv/Pix2Pix/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 2 | 2019-09-01T06:17:04.000Z | 2019-10-04T08:39:45.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 34.04918 | 110 | 0.646124 |
import os
import numpy as np
from PIL import Image
from src.utils.config import get_args
from mindspore import Tensor
def save_image(img, img_path):
if isinstance(img, Tensor):
img = img.asnumpy()
elif not isinstance(img, np.ndarray):
raise ValueError("img should be Tensor or nump... | true | true |
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