max_stars_repo_path stringlengths 4 286 | max_stars_repo_name stringlengths 5 119 | max_stars_count int64 0 191k | id stringlengths 1 7 | content stringlengths 6 1.03M | content_cleaned stringlengths 6 1.03M | language stringclasses 111
values | language_score float64 0.03 1 | comments stringlengths 0 556k | edu_score float64 0.32 5.03 | edu_int_score int64 0 5 |
|---|---|---|---|---|---|---|---|---|---|---|
misago/misago/markup/pipeline.py | vascoalramos/misago-deployment | 2 | 6625951 | from importlib import import_module
from bs4 import BeautifulSoup
from .. import hooks
from ..conf import settings
class MarkupPipeline:
"""small framework for extending parser"""
def extend_markdown(self, md):
for extension in settings.MISAGO_MARKUP_EXTENSIONS:
module = import_module(e... | from importlib import import_module
from bs4 import BeautifulSoup
from .. import hooks
from ..conf import settings
class MarkupPipeline:
"""small framework for extending parser"""
def extend_markdown(self, md):
for extension in settings.MISAGO_MARKUP_EXTENSIONS:
module = import_module(e... | en | 0.617929 | small framework for extending parser | 2.58963 | 3 |
ebnmpy/point_laplace.py | kclamar/ebnmpy | 0 | 6625952 | import numpy as np
from numpy import exp, inf, log, mean, sqrt
from scipy.stats import bernoulli
from .ashr import my_e2truncnorm, my_etruncnorm
from .output import result_in_output
from .r_utils import length, numeric, pmax, pmin, rep, stop, unlist
from .r_utils.stats import dnorm, pnorm, rtruncnorm
from .workhorse_p... | import numpy as np
from numpy import exp, inf, log, mean, sqrt
from scipy.stats import bernoulli
from .ashr import my_e2truncnorm, my_etruncnorm
from .output import result_in_output
from .r_utils import length, numeric, pmax, pmin, rep, stop, unlist
from .r_utils.stats import dnorm, pnorm, rtruncnorm
from .workhorse_p... | none | 1 | 2.16533 | 2 | |
encoder-decoder-train_1.py | kapitsa2811/uTAB | 0 | 6625953 | import numpy as np
np.random.seed(1000) # for reproducibility
from keras.models import Sequential
from keras.layers.convolutional import Convolution2D
from keras.layers import Activation
from keras.layers import MaxPooling2D,UpSampling2D
from keras.layers import Dropout,Dense,Flatten,BatchNormalization
from keras.optim... | import numpy as np
np.random.seed(1000) # for reproducibility
from keras.models import Sequential
from keras.layers.convolutional import Convolution2D
from keras.layers import Activation
from keras.layers import MaxPooling2D,UpSampling2D
from keras.layers import Dropout,Dense,Flatten,BatchNormalization
from keras.optim... | en | 0.211887 | # for reproducibility this code is modified for new segmentaion angles = range(-2,3) shifts = [[0,0],[0,1],[1,0],[1,1],[0,2],[2,0],[1,2],[2,1],[2,2], [0,-1],[-1,0],[-1,-1],[0,-2],[-2,0],[-1,-2],[-2,-1],[-2,-2], [1,-1],[1,-2],[2,-1],[2,-2], [-1,1],[-1,2],[-2,1],[-2,2]] mul... | 2.333805 | 2 |
test/mapreduce/data/stream_data.py | chuyqa/pydoop | 0 | 6625954 | # BEGIN_COPYRIGHT
#
# Copyright 2009-2018 CRS4.
#
# 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 ... | # BEGIN_COPYRIGHT
#
# Copyright 2009-2018 CRS4.
#
# 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 ... | en | 0.823592 | # BEGIN_COPYRIGHT # # Copyright 2009-2018 CRS4. # # 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 ... | 1.669763 | 2 |
src/decimal_to_octal/main.py | pranshuag9/my-hackerblocks-codes | 0 | 6625955 | '''
@author: <NAME>
@problem: https://hack.codingblocks.com/app/practice/1/217/problem
'''
def decimal_to_octal(n):
i, BASE, sum = 0, 8, 0
while n > 0:
rem = n % BASE
sum += rem * (10**i)
n = int(n / BASE)
i += 1
print(sum)
if __name__ == "__main__":
n = in... | '''
@author: <NAME>
@problem: https://hack.codingblocks.com/app/practice/1/217/problem
'''
def decimal_to_octal(n):
i, BASE, sum = 0, 8, 0
while n > 0:
rem = n % BASE
sum += rem * (10**i)
n = int(n / BASE)
i += 1
print(sum)
if __name__ == "__main__":
n = in... | en | 0.584632 | @author: <NAME>
@problem: https://hack.codingblocks.com/app/practice/1/217/problem | 3.844155 | 4 |
src/compute.client/python_client/compute_rhino3d/Curve.py | tt-acm/compute.rhino3d | 1 | 6625956 | from . import Util
def GetConicSectionType(thisCurve, multiple=False):
url = "rhino/geometry/curve/getconicsectiontype-curve"
if multiple: url += "?multiple=true"
args = [thisCurve]
if multiple: args = zip(thisCurve)
response = Util.ComputeFetch(url, args)
return response
def CreateInterpola... | from . import Util
def GetConicSectionType(thisCurve, multiple=False):
url = "rhino/geometry/curve/getconicsectiontype-curve"
if multiple: url += "?multiple=true"
args = [thisCurve]
if multiple: args = zip(thisCurve)
response = Util.ComputeFetch(url, args)
return response
def CreateInterpola... | none | 1 | 2.479616 | 2 | |
src/presets.py | slobos/datanga | 0 | 6625957 | <filename>src/presets.py<gh_stars>0
from PySide.QtCore import *
from PySide.QtWebKit import *
from PySide.QtGui import *
import os
import sys
import re
import json
from textviewer import *
from urlparse import urlparse
import requests
class PresetWindow(QDialog):
def __init__(self, parent=None):
super(Pres... | <filename>src/presets.py<gh_stars>0
from PySide.QtCore import *
from PySide.QtWebKit import *
from PySide.QtGui import *
import os
import sys
import re
import json
from textviewer import *
from urlparse import urlparse
import requests
class PresetWindow(QDialog):
def __init__(self, parent=None):
super(Pres... | en | 0.146027 | #layout #list view #detail view #self.detailView.setFrameStyle(QFrame.Box) #self.detailOptions.setStyleSheet("background: rgba(0,0,0,0);border:0px;") #self.detailColumns.setStyleSheet("background: rgba(0,0,0,0);border:0px;") #buttons #QDialogButtonBox() #buttons.addButton(self.saveButton,QDialogButtonBox.ActionRole) #b... | 2.135059 | 2 |
pytube/models.py | thedataincubator/pytube | 0 | 6625958 | <filename>pytube/models.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from os.path import normpath, isfile
from os import remove
from time import clock
try:
from urllib2 import urlopen
except ImportError:
from urllib.request import urlopen
from sys import exit
from pyt... | <filename>pytube/models.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from os.path import normpath, isfile
from os import remove
from time import clock
try:
from urllib2 import urlopen
except ImportError:
from urllib.request import urlopen
from sys import exit
from pyt... | en | 0.788088 | #!/usr/bin/env python # -*- coding: utf-8 -*- Class representation of a single instance of a YouTube video. Define the variables required to declare a new video. Keyword arguments: extention -- The file extention the video should be saved as. resolution -- The broadcasting standard of the video... | 3.09991 | 3 |
backend/app.py | IndiaCFG2/team-19 | 0 | 6625959 | from flask import Flask, jsonify, request
from flask_sqlalchemy import SQLAlchemy
from flask_marshmallow import Marshmallow
import os
app = Flask(__name__)
basedir = os.path.abspath(os.path.dirname(__file__))
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///' + os.path.join(basedir,'db.sqlite')
app.config['SQLALCHE... | from flask import Flask, jsonify, request
from flask_sqlalchemy import SQLAlchemy
from flask_marshmallow import Marshmallow
import os
app = Flask(__name__)
basedir = os.path.abspath(os.path.dirname(__file__))
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///' + os.path.join(basedir,'db.sqlite')
app.config['SQLALCHE... | none | 1 | 2.389867 | 2 | |
calvin_models/calvin_agent/utils/data_visualization.py | nikepupu/calvin | 0 | 6625960 | <gh_stars>0
import logging
import hydra
from omegaconf import DictConfig
from pytorch_lightning import seed_everything
logger = logging.getLogger(__name__)
from matplotlib.animation import ArtistAnimation
import matplotlib.pyplot as plt
import numpy as np
def visualize(data):
seq_img = data[1][0][0].numpy()
... | import logging
import hydra
from omegaconf import DictConfig
from pytorch_lightning import seed_everything
logger = logging.getLogger(__name__)
from matplotlib.animation import ArtistAnimation
import matplotlib.pyplot as plt
import numpy as np
def visualize(data):
seq_img = data[1][0][0].numpy()
title = da... | en | 0.640333 | # imgRGB = seq_img[j].astype(int) # sets seeds for numpy, torch, python.random and PYTHONHASHSEED. | 2.219921 | 2 |
skytap/models/Interface.py | mapledyne/skytap | 3 | 6625961 | <filename>skytap/models/Interface.py
"""Support for an interface resource in Skytap."""
import json
from skytap.framework.ApiClient import ApiClient # noqa
from skytap.models.PublishedServices import PublishedServices # noqa
from skytap.models.SkytapResource import SkytapResource # noqa
class Interface(SkytapReso... | <filename>skytap/models/Interface.py
"""Support for an interface resource in Skytap."""
import json
from skytap.framework.ApiClient import ApiClient # noqa
from skytap.models.PublishedServices import PublishedServices # noqa
from skytap.models.SkytapResource import SkytapResource # noqa
class Interface(SkytapReso... | en | 0.945481 | Support for an interface resource in Skytap. # noqa # noqa # noqa One Skytap (network) Interface. Get attributes. Interfaces aren't fully returned when the API call is made - Published Services aren't returned. Often this doesn't matter, so we don't automatically pull this information. However,... | 2.944456 | 3 |
egs/word_embedding/steps/tfrnnlm/rnnlm_skipgram.py | charlesliucn/LanMIT | 17 | 6625962 | # -*- coding:utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
import time
import math
import random
import reader
import inspect
import collections
import numpy as np
import tensorflow as tf
reload(sys)
sys.setdefaultencoding("... | # -*- coding:utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
import time
import math
import random
import reader
import inspect
import collections
import numpy as np
import tensorflow as tf
reload(sys)
sys.setdefaultencoding("... | en | 0.52892 | # -*- coding:utf-8 -*- Small config. The input data. The RNNLM model. # first implement the less efficient version # unpacking the input state context # self.embedding = tf.get_variable("embedding", [vocab_size, hidden_size], dtype = tf.float32) # inputs = tf.nn.embedding_lookup(self.embedding, input_.input_data) # tes... | 2.296048 | 2 |
mean_median_mode/mean_median_mode.py | arunachalamb/hackerrank | 1 | 6625963 | # Input:
# N - number of elements in list
# Input list to calculate mean, median, mode
# Output:
# Print mean, median and mode of elements in list
n = int(input())
l = [int(i) for i in input().split()]
print(sum(l)/n)
l.sort()
if n%2 == 1:
print(l[n//2])
else:
print((l[n//2-1]+l[n//2])/2)
m = [0 for i in range... | # Input:
# N - number of elements in list
# Input list to calculate mean, median, mode
# Output:
# Print mean, median and mode of elements in list
n = int(input())
l = [int(i) for i in input().split()]
print(sum(l)/n)
l.sort()
if n%2 == 1:
print(l[n//2])
else:
print((l[n//2-1]+l[n//2])/2)
m = [0 for i in range... | en | 0.766471 | # Input: # N - number of elements in list # Input list to calculate mean, median, mode # Output: # Print mean, median and mode of elements in list | 3.560808 | 4 |
tests/test_mot_metrics.py | itsraina/norfair | 0 | 6625964 | <reponame>itsraina/norfair
import os.path
import numpy as np
import pandas as pd
from norfair import Tracker, metrics
DATASET_PATH = "train"
MOTA_ERROR_THRESHOLD = 0.0
FRAME_SKIP_PERIOD = 1
DETECTION_THRESHOLD = 0.01
DISTANCE_THRESHOLD = 0.9
DIAGONAL_PROPORTION_THRESHOLD = 1 / 18
POINTWISE_HIT_COUNTER_MAX = 3
HIT_C... | import os.path
import numpy as np
import pandas as pd
from norfair import Tracker, metrics
DATASET_PATH = "train"
MOTA_ERROR_THRESHOLD = 0.0
FRAME_SKIP_PERIOD = 1
DETECTION_THRESHOLD = 0.01
DISTANCE_THRESHOLD = 0.9
DIAGONAL_PROPORTION_THRESHOLD = 1 / 18
POINTWISE_HIT_COUNTER_MAX = 3
HIT_COUNTER_MAX = 2
def keypoin... | en | 0.922253 | # Set keypoint_dist_threshold based on object size, and calculate # distance between detections and tracker estimations Tests that Norfair's MOT metrics didn't get worse Configurable so that it allows some margin on how much worse metrics could get before the test fails. Margin configured through MOTA_ERROR_... | 2.549433 | 3 |
bundle_cache/app_store/tk-flame/v1.14.4/engine.py | ColinKennedy/tk-config-default2-respawn | 4 | 6625965 | # Copyright (c) 2014 Shotgun Software Inc.
#
# CONFIDENTIAL AND PROPRIETARY
#
# This work is provided "AS IS" and subject to the Shotgun Pipeline Toolkit
# Source Code License included in this distribution package. See LICENSE.
# By accessing, using, copying or modifying this work you indicate your
# agreement to the S... | # Copyright (c) 2014 Shotgun Software Inc.
#
# CONFIDENTIAL AND PROPRIETARY
#
# This work is provided "AS IS" and subject to the Shotgun Pipeline Toolkit
# Source Code License included in this distribution package. See LICENSE.
# By accessing, using, copying or modifying this work you indicate your
# agreement to the S... | en | 0.850486 | # Copyright (c) 2014 Shotgun Software Inc. # # CONFIDENTIAL AND PROPRIETARY # # This work is provided "AS IS" and subject to the Shotgun Pipeline Toolkit # Source Code License included in this distribution package. See LICENSE. # By accessing, using, copying or modifying this work you indicate your # agreement to the S... | 1.969498 | 2 |
elastic/datadog_checks/elastic/metrics.py | keisku/integrations-core | 0 | 6625966 | <filename>elastic/datadog_checks/elastic/metrics.py
# (C) Datadog, Inc. 2018-present
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
from .utils import byte_to_mebibyte, ms_to_second
# Metrics definition format is a dictionary mapping:
# datadog_metric_name --> (datadog_metric_type, e... | <filename>elastic/datadog_checks/elastic/metrics.py
# (C) Datadog, Inc. 2018-present
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
from .utils import byte_to_mebibyte, ms_to_second
# Metrics definition format is a dictionary mapping:
# datadog_metric_name --> (datadog_metric_type, e... | en | 0.747144 | # (C) Datadog, Inc. 2018-present # All rights reserved # Licensed under a 3-clause BSD style license (see LICENSE) # Metrics definition format is a dictionary mapping: # datadog_metric_name --> (datadog_metric_type, es_metric_name, optional_conversion_func) # Clusterwise metrics, pre aggregated on ES, compatible with a... | 1.855798 | 2 |
penman/interface.py | rafaelanchieta/AMR-Aligner | 2 | 6625967 |
"""
Functions for basic reading and writing of PENMAN graphs.
"""
from typing import Union, Iterable, List
from pathlib import Path
from penman.codec import PENMANCodec
from penman.model import Model
from penman.graph import Graph
from penman.types import (Variable, file_or_filename)
def decode(s: str,
... |
"""
Functions for basic reading and writing of PENMAN graphs.
"""
from typing import Union, Iterable, List
from pathlib import Path
from penman.codec import PENMANCodec
from penman.model import Model
from penman.graph import Graph
from penman.types import (Variable, file_or_filename)
def decode(s: str,
... | en | 0.726693 | Functions for basic reading and writing of PENMAN graphs. Deserialize PENMAN-serialized *s* into its Graph object Args: s: a string containing a single PENMAN-serialized graph model: the model used for interpreting the graph Returns: the Graph object described by *s* Example: ... | 3.309209 | 3 |
tests/test_PCA.py | gdalessi/clustering | 7 | 6625968 | '''
MODULE: test_PCA.py
@Authors:
<NAME> [1,2]
[1]: Université Libre de Bruxelles, Aero-Thermo-Mechanics Laboratory, Bruxelles, Belgium
[2]: CRECK Modeling Lab, Department of Chemistry, Materials and Chemical Engineering, Politecnico di Milano
@Contacts:
<EMAIL>
@Additional notes:
This code is d... | '''
MODULE: test_PCA.py
@Authors:
<NAME> [1,2]
[1]: Université Libre de Bruxelles, Aero-Thermo-Mechanics Laboratory, Bruxelles, Belgium
[2]: CRECK Modeling Lab, Department of Chemistry, Materials and Chemical Engineering, Politecnico di Milano
@Contacts:
<EMAIL>
@Additional notes:
This code is d... | en | 0.714394 | MODULE: test_PCA.py @Authors: <NAME> [1,2] [1]: Université Libre de Bruxelles, Aero-Thermo-Mechanics Laboratory, Bruxelles, Belgium [2]: CRECK Modeling Lab, Department of Chemistry, Materials and Chemical Engineering, Politecnico di Milano @Contacts: <EMAIL> @Additional notes: This code is distr... | 2.169346 | 2 |
tests/test_web_app.py | agronholm/aiohttp | 0 | 6625969 | import asyncio
from unittest import mock
import pytest
from async_generator import async_generator, yield_
from aiohttp import log, web
from aiohttp.abc import AbstractAccessLogger, AbstractRouter
from aiohttp.helpers import DEBUG, PY_36
from aiohttp.test_utils import make_mocked_coro
async def test_app_ctor() -> N... | import asyncio
from unittest import mock
import pytest
from async_generator import async_generator, yield_
from aiohttp import log, web
from aiohttp.abc import AbstractAccessLogger, AbstractRouter
from aiohttp.helpers import DEBUG, PY_36
from aiohttp.test_utils import make_mocked_coro
async def test_app_ctor() -> N... | none | 1 | 2.125969 | 2 | |
python/Django/venv/djangoschool/school/models.py | Pitoontakoonpol/Python | 0 | 6625970 | from django.db import models
class ExamScore(models.Model):
allsubject = (('math', 'คณิตศาสตร์'),
('sci', 'วิทยาศาสตร์'),
('eng', 'ภาษาอังกฤษ'),
('art', 'ศิลป์'),
('physics', 'ฟิสิกส์'),
('bio', 'ชีววิทยา')
... | from django.db import models
class ExamScore(models.Model):
allsubject = (('math', 'คณิตศาสตร์'),
('sci', 'วิทยาศาสตร์'),
('eng', 'ภาษาอังกฤษ'),
('art', 'ศิลป์'),
('physics', 'ฟิสิกส์'),
('bio', 'ชีววิทยา')
... | none | 1 | 2.309561 | 2 | |
projeto001/qt_divisores.py | gerssivaldosantos/MeuGuru | 1 | 6625971 | def qtd_divisores(numero):
contador = 0
""" Percorrendo do 1 ao número e verificando se o resto de divisão de cada
número no intervalo é igual à zero, caso seja, adição ao contador """
for i in range(1, numero + 1):
if numero % i == 0:
print(i)
contador += 1
return co... | def qtd_divisores(numero):
contador = 0
""" Percorrendo do 1 ao número e verificando se o resto de divisão de cada
número no intervalo é igual à zero, caso seja, adição ao contador """
for i in range(1, numero + 1):
if numero % i == 0:
print(i)
contador += 1
return co... | pt | 0.945307 | Percorrendo do 1 ao número e verificando se o resto de divisão de cada número no intervalo é igual à zero, caso seja, adição ao contador | 3.780334 | 4 |
comet/train/quantize.py | kearnsw/comet-commonsense | 0 | 6625972 | import torch
from comet.interactive import functions as interactive
import comet.train.atomic_train as train
from comet.train.opt import OpenAIAdam
import comet.data.config as cfg
num_calibration_batches = 10
opt, state_dict = interactive.load_model_file("models/6.25e-05_adam_64_20500.pickle")
data_loader, text_enco... | import torch
from comet.interactive import functions as interactive
import comet.train.atomic_train as train
from comet.train.opt import OpenAIAdam
import comet.data.config as cfg
num_calibration_batches = 10
opt, state_dict = interactive.load_model_file("models/6.25e-05_adam_64_20500.pickle")
data_loader, text_enco... | en | 0.622898 | # Specify quantization configuration # Start with simple min/max range estimation and per-tensor quantization of weights # Calibrate first # Calibrate with the training set # Convert to quantized model #top1, top5 = evaluate(myModel, criterion, data_loader_test, neval_batches=num_eval_batches) #print('Evaluation accura... | 2.027939 | 2 |
src/annotateGenome/__init__.py | hui-sheen/annotateGenome | 0 | 6625973 | <filename>src/annotateGenome/__init__.py
name = "annotate_genome"
| <filename>src/annotateGenome/__init__.py
name = "annotate_genome"
| none | 1 | 1.010023 | 1 | |
examples/dbm_cifar_naive.py | enijkamp/rbm | 0 | 6625974 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Train 3072-5000-1000 Gaussian-Bernoulli-Multinomial
DBM with pre-training on "smoothed" CIFAR-10 (with 1000 least
significant singular values removed), as suggested in [1].
Per sample validation mean reconstruction error for DBM monotonically
decreases during training ... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Train 3072-5000-1000 Gaussian-Bernoulli-Multinomial
DBM with pre-training on "smoothed" CIFAR-10 (with 1000 least
significant singular values removed), as suggested in [1].
Per sample validation mean reconstruction error for DBM monotonically
decreases during training ... | en | 0.842494 | #!/usr/bin/env python # -*- coding: utf-8 -*- Train 3072-5000-1000 Gaussian-Bernoulli-Multinomial DBM with pre-training on "smoothed" CIFAR-10 (with 1000 least significant singular values removed), as suggested in [1]. Per sample validation mean reconstruction error for DBM monotonically decreases during training from... | 2.481646 | 2 |
insights/formats/_yaml.py | dehort/insights-core | 0 | 6625975 | import yaml
from insights.formats import EvaluatorFormatter
class YamlFormatter(EvaluatorFormatter):
def dump(self, data):
return yaml.dump(data)
| import yaml
from insights.formats import EvaluatorFormatter
class YamlFormatter(EvaluatorFormatter):
def dump(self, data):
return yaml.dump(data)
| none | 1 | 2.241846 | 2 | |
networkapi/plugins/Cisco/NXOS/plugin.py | vinicius-marinho/GloboNetworkAPI | 73 | 6625976 | # -*- coding: utf-8 -*-
# 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 "Lic... | # -*- coding: utf-8 -*-
# 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 "Lic... | en | 0.845558 | # -*- coding: utf-8 -*- # 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 "Lic... | 1.739264 | 2 |
scripts/create_fluseverity_figs_v5/S_seasonRR_benchmark_v5.py | eclee25/flu-SDI-exploratory-age | 3 | 6625977 | #!/usr/bin/python
##############################################
###Python template
###Author: <NAME>
###Date: 1/20/15
###Function: relative risk of adult ILI to child ILI visits for the entire season vs. CDC benchmark index, mean Thanksgiving-based early zOR metric vs. CDC benchmark index.
# 7/20/15: update beta
# 1... | #!/usr/bin/python
##############################################
###Python template
###Author: <NAME>
###Date: 1/20/15
###Function: relative risk of adult ILI to child ILI visits for the entire season vs. CDC benchmark index, mean Thanksgiving-based early zOR metric vs. CDC benchmark index.
# 7/20/15: update beta
# 1... | en | 0.590021 | #!/usr/bin/python ############################################## ###Python template ###Author: <NAME> ###Date: 1/20/15 ###Function: relative risk of adult ILI to child ILI visits for the entire season vs. CDC benchmark index, mean Thanksgiving-based early zOR metric vs. CDC benchmark index. # 7/20/15: update beta # 10/... | 1.844682 | 2 |
clickhouse_driver/settings/types.py | vsmaxim/clickhouse-driver | 17 | 6625978 | <gh_stars>10-100
from ..varint import write_varint
from ..writer import write_binary_str
class SettingType(object):
@classmethod
def write(cls, value, buf):
raise NotImplementedError
class SettingUInt64(SettingType):
@classmethod
def write(cls, value, buf):
write_varint(int(value), ... | from ..varint import write_varint
from ..writer import write_binary_str
class SettingType(object):
@classmethod
def write(cls, value, buf):
raise NotImplementedError
class SettingUInt64(SettingType):
@classmethod
def write(cls, value, buf):
write_varint(int(value), buf)
class Setti... | en | 0.950204 | Float is written in string representation. | 2.866163 | 3 |
tests/test_query.py | Mc01/graphene-pydantic | 0 | 6625979 | <filename>tests/test_query.py
import uuid
import pydantic
import graphene
from graphene_pydantic_fix import PydanticObjectType
class FooModel(pydantic.BaseModel):
id: uuid.UUID
name: str
class Foo(PydanticObjectType):
class Meta:
model = FooModel
class Query(graphene.ObjectType):
list_fo... | <filename>tests/test_query.py
import uuid
import pydantic
import graphene
from graphene_pydantic_fix import PydanticObjectType
class FooModel(pydantic.BaseModel):
id: uuid.UUID
name: str
class Foo(PydanticObjectType):
class Meta:
model = FooModel
class Query(graphene.ObjectType):
list_fo... | en | 0.618568 | Dummy resolver that creates a list of Pydantic objects query { listFoos { id name } } | 2.61833 | 3 |
warehouse/utils/webauthn.py | pradyunsg/warehouse | 1 | 6625980 | <reponame>pradyunsg/warehouse
# 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, softw... | # 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
# distributed under the Li... | en | 0.818275 | # 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 # distributed under the Li... | 2.175672 | 2 |
jsk_recognition/jsk_pcl_ros/scripts/install_trained_data.py | VT-ASIM-LAB/autoware.ai | 0 | 6625981 | <filename>jsk_recognition/jsk_pcl_ros/scripts/install_trained_data.py
#!/usr/bin/env python
import argparse
import multiprocessing
import jsk_data
def main():
parser = argparse.ArgumentParser()
parser.add_argument('-v', '--verbose', dest='quiet', action='store_false')
args = parser.parse_args()
quie... | <filename>jsk_recognition/jsk_pcl_ros/scripts/install_trained_data.py
#!/usr/bin/env python
import argparse
import multiprocessing
import jsk_data
def main():
parser = argparse.ArgumentParser()
parser.add_argument('-v', '--verbose', dest='quiet', action='store_false')
args = parser.parse_args()
quie... | ru | 0.26433 | #!/usr/bin/env python | 2.132307 | 2 |
elegy/__init__.py | srcolinas/elegy | 0 | 6625982 | <filename>elegy/__init__.py
__version__ = "0.1.3"
from . import losses, metrics, model, regularizers, callbacks
from .losses import Loss
from .metrics import Metric
from .model import Model
from .module import Module
| <filename>elegy/__init__.py
__version__ = "0.1.3"
from . import losses, metrics, model, regularizers, callbacks
from .losses import Loss
from .metrics import Metric
from .model import Model
from .module import Module
| none | 1 | 1.01748 | 1 | |
pocean/tests/dsg/test_new.py | axiom-data-science/pocean-core | 13 | 6625983 | <gh_stars>10-100
# -*- coding: utf-8 -*-
from os.path import join as jn
from os.path import dirname as dn
import pytest
from pocean.cf import CFDataset
from pocean.utils import all_subclasses
from pocean.dsg import *
import logging
from pocean import logger
logger.level = logging.INFO
logger.handlers = [logging.Stre... | # -*- coding: utf-8 -*-
from os.path import join as jn
from os.path import dirname as dn
import pytest
from pocean.cf import CFDataset
from pocean.utils import all_subclasses
from pocean.dsg import *
import logging
from pocean import logger
logger.level = logging.INFO
logger.handlers = [logging.StreamHandler()]
@p... | en | 0.239596 | # -*- coding: utf-8 -*- #(IndexedRaggedTimeseries, jn(dn(__file__), 'timeseries', 'resources', 'cr-multiple.nc')), #(ContiguousRaggedTimeseries, jn(dn(__file__), 'timeseries', 'resources', 'cr-multiple.nc')), | 1.816717 | 2 |
client/commands/v2/restart.py | pradeep90/pyre-check | 0 | 6625984 | <filename>client/commands/v2/restart.py
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from pathlib import Path
from ... import command_arguments, commands, configuration as... | <filename>client/commands/v2/restart.py
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from pathlib import Path
from ... import command_arguments, commands, configuration as... | en | 0.946521 | # Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. # This usually means there's no server running | 2.591408 | 3 |
colossalai/nn/layer/wrapper/lambda_wrapper.py | RichardoLuo/ColossalAI | 1,630 | 6625985 | <filename>colossalai/nn/layer/wrapper/lambda_wrapper.py<gh_stars>1000+
#!/usr/bin/env python
# -*- encoding: utf-8 -*-
import torch.nn as nn
from colossalai.builder import build_layer
from colossalai.registry import LAYERS
@LAYERS.register_module
class LambdaWrapper(nn.Module):
"""Wrap a function to nn.Module, ... | <filename>colossalai/nn/layer/wrapper/lambda_wrapper.py<gh_stars>1000+
#!/usr/bin/env python
# -*- encoding: utf-8 -*-
import torch.nn as nn
from colossalai.builder import build_layer
from colossalai.registry import LAYERS
@LAYERS.register_module
class LambdaWrapper(nn.Module):
"""Wrap a function to nn.Module, ... | en | 0.71427 | #!/usr/bin/env python # -*- encoding: utf-8 -*- Wrap a function to nn.Module, which takes a config of layers and can fully access them. Args: func (``Callable``): User customed function. layers_cfg (dict, optional): Config of layers, defaults to None. | 2.302575 | 2 |
ubivar/test/resources/test_event_last_id.py | oriskami/oriskami-python | 4 | 6625986 | import os
import ubivar
import warnings
from ubivar.test.helper import (UbivarTestCase)
class UbivarAPIResourcesTests(UbivarTestCase):
def test_event_last_id_list(self):
response = ubivar.EventLastId.list()
self.assertEqual(len(response.data), 1)
lastId = response.data[0]["id"]
sel... | import os
import ubivar
import warnings
from ubivar.test.helper import (UbivarTestCase)
class UbivarAPIResourcesTests(UbivarTestCase):
def test_event_last_id_list(self):
response = ubivar.EventLastId.list()
self.assertEqual(len(response.data), 1)
lastId = response.data[0]["id"]
sel... | none | 1 | 2.665706 | 3 | |
sdk/python/pulumi_aws/neptune/cluster_instance.py | johnktims/pulumi-aws | 0 | 6625987 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from .. import utilities, tables
class Cluste... | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from .. import utilities, tables
class Cluste... | en | 0.657589 | # coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** The hostname of the instance. See also `endpoint` and `port`. Specifies whether any instance modifications are applied immediately, ... | 1.815458 | 2 |
telemetry/telemetry/internal/backends/chrome/fuchsia_browser_finder.py | Martijnve23/catapult | 1,894 | 6625988 | <reponame>Martijnve23/catapult<filename>telemetry/telemetry/internal/backends/chrome/fuchsia_browser_finder.py
# Copyright 2019 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Finds Fuchsia browsers that can be started a... | # Copyright 2019 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Finds Fuchsia browsers that can be started and controlled by telemetry."""
from __future__ import absolute_import
import os
import platform
from telemetr... | en | 0.869057 | # Copyright 2019 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. Finds Fuchsia browsers that can be started and controlled by telemetry. # pylint: disable=protected-access # Like CrOS, there's no way to automatically determ... | 1.948555 | 2 |
Django/comments/models.py | xuhaer/FlaskWeb | 0 | 6625989 | <reponame>xuhaer/FlaskWeb
from django.db import models
# Create your models here.
class Comment(models.Model):
name = models.CharField(max_length=100)
email = models.EmailField(max_length=255, blank=True)
text = models.TextField()
created_at = models.DateTimeField(auto_now_add=True)
article = mod... | from django.db import models
# Create your models here.
class Comment(models.Model):
name = models.CharField(max_length=100)
email = models.EmailField(max_length=255, blank=True)
text = models.TextField()
created_at = models.DateTimeField(auto_now_add=True)
article = models.ForeignKey('blog.Artic... | en | 0.963489 | # Create your models here. | 2.403186 | 2 |
python/import/obj/district/nagreg.py | dudung/cookbook | 0 | 6625990 | <filename>python/import/obj/district/nagreg.py
level = 3
name = 'Nagreg'
capital = 'Ganjarsabar'
area = 49.3
| <filename>python/import/obj/district/nagreg.py
level = 3
name = 'Nagreg'
capital = 'Ganjarsabar'
area = 49.3
| none | 1 | 1.266746 | 1 | |
algorithms/GEM/GEM_main.py | YangLiangwei/DGFraud | 447 | 6625991 | '''
This code is due to <NAME> (@yutongD), <NAME> (@YingtongDou) and UIC BDSC Lab
DGFraud (A Deep Graph-based Toolbox for Fraud Detection)
https://github.com/safe-graph/DGFraud
'''
import tensorflow as tf
import argparse
import os
import sys
sys.path.insert(0, os.path.abspath(os.path.join(os.getcwd(), '../..')))
from a... | '''
This code is due to <NAME> (@yutongD), <NAME> (@YingtongDou) and UIC BDSC Lab
DGFraud (A Deep Graph-based Toolbox for Fraud Detection)
https://github.com/safe-graph/DGFraud
'''
import tensorflow as tf
import argparse
import os
import sys
sys.path.insert(0, os.path.abspath(os.path.join(os.getcwd(), '../..')))
from a... | en | 0.708114 | This code is due to <NAME> (@yutongD), <NAME> (@YingtongDou) and UIC BDSC Lab DGFraud (A Deep Graph-based Toolbox for Fraud Detection) https://github.com/safe-graph/DGFraud # os.environ['CUDA_VISIBLE_DEVICES'] = '0,1' # init the common args, expect the model specific args # GEM # get batch data # device num # net.load(... | 2.267005 | 2 |
dataworkspace/dataworkspace/apps/core/migrations/0008_newslettersubscription.py | uktrade/analysis-workspace | 1 | 6625992 | <filename>dataworkspace/dataworkspace/apps/core/migrations/0008_newslettersubscription.py
# Generated by Django 3.2.13 on 2022-05-26 13:39
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
mi... | <filename>dataworkspace/dataworkspace/apps/core/migrations/0008_newslettersubscription.py
# Generated by Django 3.2.13 on 2022-05-26 13:39
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
mi... | en | 0.813077 | # Generated by Django 3.2.13 on 2022-05-26 13:39 | 1.564085 | 2 |
mail/migrations/0012_auto_20210627_1049.py | prabin-acharya/mail-Gmail | 1 | 6625993 | # Generated by Django 3.2.4 on 2021-06-27 05:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mail', '0011_alter_email_subject'),
]
operations = [
migrations.AddField(
model_name='email',
name='recipients_email... | # Generated by Django 3.2.4 on 2021-06-27 05:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mail', '0011_alter_email_subject'),
]
operations = [
migrations.AddField(
model_name='email',
name='recipients_email... | en | 0.875375 | # Generated by Django 3.2.4 on 2021-06-27 05:04 | 1.568998 | 2 |
app/core/models.py | duks500/recipe-app-api | 0 | 6625994 | import uuid
import os
from django.db import models
# what we need to extand the user base model
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager, \
PermissionsMixin
from django.conf import settings
def recipe_image_file_path(instance, filename):
"""G... | import uuid
import os
from django.db import models
# what we need to extand the user base model
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager, \
PermissionsMixin
from django.conf import settings
def recipe_image_file_path(instance, filename):
"""G... | en | 0.872428 | # what we need to extand the user base model Generate file path for new recipe image # Return the extention of the file name # Create a new name using the uuid # A relable method that allowed us to join 2 strings into a vaild path # extends the BaseUserManager # Helo manage user and superuser Create and save a new user... | 2.791622 | 3 |
RecoTracker/IterativeTracking/python/PixelPairStep_cff.py | pasmuss/cmssw | 0 | 6625995 | import FWCore.ParameterSet.Config as cms
from Configuration.Eras.Modifier_tracker_apv_vfp30_2016_cff import tracker_apv_vfp30_2016 as _tracker_apv_vfp30_2016
import RecoTracker.IterativeTracking.iterativeTkConfig as _cfg
# NEW CLUSTERS (remove previously used clusters)
pixelPairStepClusters = _cfg.clusterRemoverForIte... | import FWCore.ParameterSet.Config as cms
from Configuration.Eras.Modifier_tracker_apv_vfp30_2016_cff import tracker_apv_vfp30_2016 as _tracker_apv_vfp30_2016
import RecoTracker.IterativeTracking.iterativeTkConfig as _cfg
# NEW CLUSTERS (remove previously used clusters)
pixelPairStepClusters = _cfg.clusterRemoverForIte... | en | 0.838553 | # NEW CLUSTERS (remove previously used clusters) # SEEDING LAYERS # layers covering the region not covered by quadruplets (so it is # just acting as backup of triplets) # only layers covering the region not covered by quadruplets # (so it is just acting as backup of triplets) # modifing these errors seems to make no di... | 1.372906 | 1 |
lesson_planner/migrations/0027_auto_20200816_2057.py | Hogwarts250/lesson-discussion | 0 | 6625996 | <filename>lesson_planner/migrations/0027_auto_20200816_2057.py<gh_stars>0
# Generated by Django 3.1 on 2020-08-17 03:57
from django.db import migrations
import django.utils.timezone
import model_utils.fields
class Migration(migrations.Migration):
dependencies = [
('lesson_planner', '0026_auto_20200816_1... | <filename>lesson_planner/migrations/0027_auto_20200816_2057.py<gh_stars>0
# Generated by Django 3.1 on 2020-08-17 03:57
from django.db import migrations
import django.utils.timezone
import model_utils.fields
class Migration(migrations.Migration):
dependencies = [
('lesson_planner', '0026_auto_20200816_1... | en | 0.753023 | # Generated by Django 3.1 on 2020-08-17 03:57 | 1.538326 | 2 |
teatime/plugins/eth1/network.py | dmuhs/toaster | 87 | 6625997 | <filename>teatime/plugins/eth1/network.py
"""This module contains a plugin for network-related checks."""
from teatime.plugins import Context, JSONRPCPlugin, NodeType
from teatime.reporting import Issue, Severity
class NetworkListening(JSONRPCPlugin):
"""Check whether the node is listening for peers.
Severi... | <filename>teatime/plugins/eth1/network.py
"""This module contains a plugin for network-related checks."""
from teatime.plugins import Context, JSONRPCPlugin, NodeType
from teatime.reporting import Issue, Severity
class NetworkListening(JSONRPCPlugin):
"""Check whether the node is listening for peers.
Severi... | en | 0.846335 | This module contains a plugin for network-related checks. Check whether the node is listening for peers. Severity: High This plugin will use the :code:`net_listening` method to check whether the node is listening to new peers. If that is not the case, an issue will be logged. # SCAN[HIGH]: Node not li... | 2.686689 | 3 |
ehome/libs/yuntongxun/xmltojson.py | gavinliu4011/eHome | 4 | 6625998 | <gh_stars>1-10
# -*- coding: utf-8 -*-
# python xml.etree.ElementTree
import os
import xml.etree.ElementTree as ET
from xml.dom import minidom
class xmltojson:
# global var
# show log
SHOW_LOG = True
# XML file
XML_PATH = None
a = {}
m = []
def get_root(self, path):
'''parse ... | # -*- coding: utf-8 -*-
# python xml.etree.ElementTree
import os
import xml.etree.ElementTree as ET
from xml.dom import minidom
class xmltojson:
# global var
# show log
SHOW_LOG = True
# XML file
XML_PATH = None
a = {}
m = []
def get_root(self, path):
'''parse the XML file,an... | en | 0.510416 | # -*- coding: utf-8 -*- # python xml.etree.ElementTree # global var # show log # XML file parse the XML file,and get the tree of the XML file finally,return the root element of the tree. if the XML file dose not exist,then print the information # if os.path.exists(path): # if SHOW_LOG: # print('start to... | 3.446829 | 3 |
grr/server/grr_response_server/aff4_objects/standard.py | dekoder/grr | 3 | 6625999 | #!/usr/bin/env python
"""These are standard aff4 objects."""
from __future__ import division
from __future__ import unicode_literals
import io
from builtins import range # pylint: disable=redefined-builtin
from future.utils import iteritems
from future.utils import itervalues
from grr_response_core.lib import rdfv... | #!/usr/bin/env python
"""These are standard aff4 objects."""
from __future__ import division
from __future__ import unicode_literals
import io
from builtins import range # pylint: disable=redefined-builtin
from future.utils import iteritems
from future.utils import itervalues
from grr_response_core.lib import rdfv... | en | 0.89946 | #!/usr/bin/env python These are standard aff4 objects. # pylint: disable=redefined-builtin This represents a directory from the client. # We contain other objects within the tree. Refresh an old attribute. Note that refreshing the attribute is asynchronous. It does not change anything about the current object ... | 1.915063 | 2 |
KM.py | ziranl16/UROP_KMTE | 1 | 6626000 | <reponame>ziranl16/UROP_KMTE
import json
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from lifelines import KaplanMeierFitter
YEARMIN = -50
YEARMAX = 3000
# Useful for printing plots in Jupyter
# calculate survival function for worksAt
def survival_find_0(filename):
r = "3"
triple... | import json
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from lifelines import KaplanMeierFitter
YEARMIN = -50
YEARMAX = 3000
# Useful for printing plots in Jupyter
# calculate survival function for worksAt
def survival_find_0(filename):
r = "3"
triple_time = np.array([[0, 0]])
... | en | 0.652783 | # Useful for printing plots in Jupyter # calculate survival function for worksAt ###': ###': | 3.406482 | 3 |
nest_box_helper/admin.py | natalieehaas/nestboxhelper | 0 | 6626001 | from django.contrib import admin
from nest_box_helper.models import Account, Sheet, Park, Box, Attempt, UserParks
admin.site.register(Account)
admin.site.register(Sheet)
admin.site.register(Park)
admin.site.register(Box)
admin.site.register(Attempt)
admin.site.register(UserParks)
| from django.contrib import admin
from nest_box_helper.models import Account, Sheet, Park, Box, Attempt, UserParks
admin.site.register(Account)
admin.site.register(Sheet)
admin.site.register(Park)
admin.site.register(Box)
admin.site.register(Attempt)
admin.site.register(UserParks)
| none | 1 | 1.426636 | 1 | |
archive/scripts/classify_sleep.py | marta18a/sleep_classifiers | 3 | 6626002 | import numpy as np
import warnings
import time
import matplotlib.pyplot as plt
import seaborn as sns
import matplotlib.font_manager as font_manager
import matplotlib.cbook
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.neural_network import MLPClas... | import numpy as np
import warnings
import time
import matplotlib.pyplot as plt
import seaborn as sns
import matplotlib.font_manager as font_manager
import matplotlib.cbook
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.neural_network import MLPClas... | en | 0.778967 | # Load params saved from file # Print LaTeX table for paper # REM Binary search parameters # How close we have to be to the desired goal FP before it can be added to the average # Number of times to try before quitting the binary search # How close we want NREM and REM accuracies to be # Constants for plotting and tabl... | 2.252253 | 2 |
eggshell/nc/nc_fetch.py | Zeitsperre/eggshell | 0 | 6626003 | from eggshell import utils
from eggshell import config
from datetime import datetime as dt
from datetime import timedelta
# import logging
# logger = logging.getLogger(__name__)
import logging
LOGGER = logging.getLogger("PYWPS")
_PRESSUREDATA_ = [
'NCEP_slp', 'NCEP_z1000', 'NCEP_z925', 'NCEP_z850', 'NCEP_z700', ... | from eggshell import utils
from eggshell import config
from datetime import datetime as dt
from datetime import timedelta
# import logging
# logger = logging.getLogger(__name__)
import logging
LOGGER = logging.getLogger("PYWPS")
_PRESSUREDATA_ = [
'NCEP_slp', 'NCEP_z1000', 'NCEP_z925', 'NCEP_z850', 'NCEP_z700', ... | en | 0.54999 | # import logging # logger = logging.getLogger(__name__) Fetches the reanalysis data (NCEP, 20CR or ERA_20C) to local file system :param start: int for start year to fetch source data :param end: int for end year to fetch source data (if None, current year will be the end) :param variable: variable name (de... | 2.025341 | 2 |
mutual_library/models/mutual_diary_user.py | mubuca95/mutual_diary | 0 | 6626004 | <reponame>mubuca95/mutual_diary
import mysql.connector
from mysql.connector import errorcode
from sqlalchemy.sql.schema import ForeignKey
from db import db
class mutual_diary_user(db.Model):
__tablename__ = 'mutual_diary_user'
iduser = db.Column(db.Integer, foreign_key = True)
iddiary = db.Column(d... | import mysql.connector
from mysql.connector import errorcode
from sqlalchemy.sql.schema import ForeignKey
from db import db
class mutual_diary_user(db.Model):
__tablename__ = 'mutual_diary_user'
iduser = db.Column(db.Integer, foreign_key = True)
iddiary = db.Column(db.Integer, foreign_key = True)
... | none | 1 | 2.502166 | 3 | |
lib/dataset/transforms/build.py | ankhzaya/HigherHRNet-Human-Pose-Estimation | 775 | 6626005 | # ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# Written by <NAME> (<EMAIL>)
# Modified by <NAME> (<EMAIL>)
# ------------------------------------------------------------------------------
from __future__ import absolute_impo... | # ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# Written by <NAME> (<EMAIL>)
# Modified by <NAME> (<EMAIL>)
# ------------------------------------------------------------------------------
from __future__ import absolute_impo... | en | 0.335606 | # ------------------------------------------------------------------------------ # Copyright (c) Microsoft # Licensed under the MIT License. # Written by <NAME> (<EMAIL>) # Modified by <NAME> (<EMAIL>) # ------------------------------------------------------------------------------ # coco_flip_index = [0, 2, 1, 4, 3, 6... | 2.135575 | 2 |
application/models/inventory/brand.py | mutalisk999/bibi | 1,037 | 6626006 | <filename>application/models/inventory/brand.py
# -*- coding: utf-8 -*-
from application.extensions import db
__all__ = ['Brand']
class Brand(db.Document):
meta = {
'db_alias': 'inventory_db',
'indexes': ['en']
}
en = db.StringField(required=True, unique=True)
cn = db.StringField()
... | <filename>application/models/inventory/brand.py
# -*- coding: utf-8 -*-
from application.extensions import db
__all__ = ['Brand']
class Brand(db.Document):
meta = {
'db_alias': 'inventory_db',
'indexes': ['en']
}
en = db.StringField(required=True, unique=True)
cn = db.StringField()
... | en | 0.769321 | # -*- coding: utf-8 -*- | 2.252218 | 2 |
kittycad/models/engine_metadata.py | KittyCAD/kittycad.py | 1 | 6626007 | <filename>kittycad/models/engine_metadata.py
from typing import Any, Dict, List, Type, TypeVar, Union, cast
import attr
from ..models.file_system_metadata import FileSystemMetadata
from ..models.nats_connection import NatsConnection
from ..types import UNSET, Unset
T = TypeVar("T", bound="EngineMetadata")
@attr.s(... | <filename>kittycad/models/engine_metadata.py
from typing import Any, Dict, List, Type, TypeVar, Union, cast
import attr
from ..models.file_system_metadata import FileSystemMetadata
from ..models.nats_connection import NatsConnection
from ..types import UNSET, Unset
T = TypeVar("T", bound="EngineMetadata")
@attr.s(... | none | 1 | 1.95969 | 2 | |
genmotion/render/c4d/params.py | yizhouzhao/GenMotion | 32 | 6626008 | <filename>genmotion/render/c4d/params.py
# Get skeleton information from https://meshcapade.wiki/SMPL#smpl-x
SMPL_SKELETON = {
0: 'Pelvis', 3: 'Spine1', 6: 'Spine2', 9: 'Spine3', 12: 'Neck', 15: 'Head',
1: 'L_Hip', 4: 'L_Knee', 7: 'L_Ankle', 10: 'L_Foot',
2: 'R_Hip', 5... | <filename>genmotion/render/c4d/params.py
# Get skeleton information from https://meshcapade.wiki/SMPL#smpl-x
SMPL_SKELETON = {
0: 'Pelvis', 3: 'Spine1', 6: 'Spine2', 9: 'Spine3', 12: 'Neck', 15: 'Head',
1: 'L_Hip', 4: 'L_Knee', 7: 'L_Ankle', 10: 'L_Foot',
2: 'R_Hip', 5... | en | 0.374059 | # Get skeleton information from https://meshcapade.wiki/SMPL#smpl-x | 1.829999 | 2 |
7 term/Local-Computer-Networks-System-Software/Lab 4/shared/errors/disconnected_exception.py | Vanya112/BSUIR_Labs | 24 | 6626009 | class DisconnectedException(Exception):
pass
| class DisconnectedException(Exception):
pass
| none | 1 | 0.995239 | 1 | |
rllib/examples/centralized_critic_2.py | 77loopin/ray | 21,382 | 6626010 | """An example of implementing a centralized critic with ObservationFunction.
The advantage of this approach is that it's very simple and you don't have to
change the algorithm at all -- just use callbacks and a custom model.
However, it is a bit less principled in that you have to change the agent
observation spaces t... | """An example of implementing a centralized critic with ObservationFunction.
The advantage of this approach is that it's very simple and you don't have to
change the algorithm at all -- just use callbacks and a custom model.
However, it is a bit less principled in that you have to change the agent
observation spaces t... | en | 0.94022 | An example of implementing a centralized critic with ObservationFunction. The advantage of this approach is that it's very simple and you don't have to change the algorithm at all -- just use callbacks and a custom model. However, it is a bit less principled in that you have to change the agent observation spaces to i... | 2.900671 | 3 |
Tests/test_dict.py | hackf5/ironpython3 | 0 | 6626011 | # Licensed to the .NET Foundation under one or more agreements.
# The .NET Foundation licenses this file to you under the Apache 2.0 License.
# See the LICENSE file in the project root for more information.
#Regression: CodePlex 15715
#Do not move or remove these two lines
x = dir(dict)
x = dir(dict.fromkeys)
import ... | # Licensed to the .NET Foundation under one or more agreements.
# The .NET Foundation licenses this file to you under the Apache 2.0 License.
# See the LICENSE file in the project root for more information.
#Regression: CodePlex 15715
#Do not move or remove these two lines
x = dir(dict)
x = dir(dict.fromkeys)
import ... | en | 0.724389 | # Licensed to the .NET Foundation under one or more agreements. # The .NET Foundation licenses this file to you under the Apache 2.0 License. # See the LICENSE file in the project root for more information. #Regression: CodePlex 15715 #Do not move or remove these two lines # TODO: remove assertRaises when https://githu... | 2.134592 | 2 |
hooks/tk-multi-setframerange/frame_operations_tk-rumba.py | diegogarciahuerta/tk-rumba | 0 | 6626012 | <gh_stars>0
# ----------------------------------------------------------------------------
# Copyright (c) 2021, <NAME>.
#
# Your use of this software as distributed in this GitHub repository, is
# governed by the MIT License
#
# Your use of the Shotgun Pipeline Toolkit is governed by the applicable
# license agreement... | # ----------------------------------------------------------------------------
# Copyright (c) 2021, <NAME>.
#
# Your use of this software as distributed in this GitHub repository, is
# governed by the MIT License
#
# Your use of the Shotgun Pipeline Toolkit is governed by the applicable
# license agreement between you... | en | 0.675689 | # ---------------------------------------------------------------------------- # Copyright (c) 2021, <NAME>. # # Your use of this software as distributed in this GitHub repository, is # governed by the MIT License # # Your use of the Shotgun Pipeline Toolkit is governed by the applicable # license agreement between you... | 2.327222 | 2 |
splink/default_settings.py | slobo/splink | 176 | 6626013 | import warnings
from pyspark.sql.session import SparkSession
from copy import deepcopy
from .validate import get_default_value_from_schema
from .case_statements import (
_check_jaro_registered,
sql_gen_case_smnt_strict_equality_2,
sql_gen_case_stmt_levenshtein_rel_3,
sql_gen_case_stmt_levenshtein_re... | import warnings
from pyspark.sql.session import SparkSession
from copy import deepcopy
from .validate import get_default_value_from_schema
from .case_statements import (
_check_jaro_registered,
sql_gen_case_smnt_strict_equality_2,
sql_gen_case_stmt_levenshtein_rel_3,
sql_gen_case_stmt_levenshtein_re... | en | 0.696327 | # Note all m and u probabilities are automatically normalised to sum to 1 Args: col_settings (dict): Column settings dictionary mu_probabilities (str): Either 'm_probabilities' or 'u_probabilities' Auto-populate any missing settings from the settings dictionary using the 'sensible defaults' that are... | 2.111751 | 2 |
maintenance/models/maintenance.py | prorevizor/noc | 0 | 6626014 | # ---------------------------------------------------------------------
# Maintenance
# ---------------------------------------------------------------------
# Copyright (C) 2007-2020 The NOC Project
# See LICENSE for details
# ---------------------------------------------------------------------
# Python
import datet... | # ---------------------------------------------------------------------
# Maintenance
# ---------------------------------------------------------------------
# Copyright (C) 2007-2020 The NOC Project
# See LICENSE for details
# ---------------------------------------------------------------------
# Python
import datet... | en | 0.712051 | # --------------------------------------------------------------------- # Maintenance # --------------------------------------------------------------------- # Copyright (C) 2007-2020 The NOC Project # See LICENSE for details # --------------------------------------------------------------------- # Python # Third-party... | 1.70509 | 2 |
jp.atcoder/abc114/abc114_a/8393448.py | kagemeka/atcoder-submissions | 1 | 6626015 | <gh_stars>1-10
# 2019-11-11 16:07:35(JST)
import sys
# import collections
# import math
# from string import ascii_lowercase, ascii_uppercase, digits
# from bisect import bisect_left as bi_l, bisect_right as bi_r
# import itertools
# from functools import reduce
# import operator as op
# from scipy.misc impo... | # 2019-11-11 16:07:35(JST)
import sys
# import collections
# import math
# from string import ascii_lowercase, ascii_uppercase, digits
# from bisect import bisect_left as bi_l, bisect_right as bi_r
# import itertools
# from functools import reduce
# import operator as op
# from scipy.misc import comb # float... | en | 0.626924 | # 2019-11-11 16:07:35(JST) # import collections # import math # from string import ascii_lowercase, ascii_uppercase, digits # from bisect import bisect_left as bi_l, bisect_right as bi_r # import itertools # from functools import reduce # import operator as op # from scipy.misc import comb # float # import numpy as np | 2.710578 | 3 |
Ui_QTDialogVer2.py | PRJJOHN/Automation | 0 | 6626016 | <reponame>PRJJOHN/Automation
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'd:\biologue\Automation\QTDialogVer2.ui'
#
# Created by: PyQt5 UI code generator 5.15.4
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you ... | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'd:\biologue\Automation\QTDialogVer2.ui'
#
# Created by: PyQt5 UI code generator 5.15.4
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
fr... | en | 0.840786 | # -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'd:\biologue\Automation\QTDialogVer2.ui' # # Created by: PyQt5 UI code generator 5.15.4 # # WARNING: Any manual changes made to this file will be lost when pyuic5 is # run again. Do not edit this file unless you know what you are doing. | 2.168651 | 2 |
python/ua_gec/stats.py | kaidisn/ua-gec | 0 | 6626017 | <reponame>kaidisn/ua-gec<filename>python/ua_gec/stats.py
#!/usr/bin/env python3
import spacy
class CorpusStatistics:
"""Compute corpus statistics. """
def __init__(self, corpus):
self.corpus = corpus
self.stats = {}
self.nlp = spacy.load("xx_ent_wiki_sm")
self.compute()
d... | #!/usr/bin/env python3
import spacy
class CorpusStatistics:
"""Compute corpus statistics. """
def __init__(self, corpus):
self.corpus = corpus
self.stats = {}
self.nlp = spacy.load("xx_ent_wiki_sm")
self.compute()
def compute(self):
docs = corpus.get_documents()
... | en | 0.607374 | #!/usr/bin/env python3 Compute corpus statistics. Compute statistics with breakdown by `field`. Returns: dict: field_class (str) => stats (dict[str, int]) | 2.752972 | 3 |
liteasr/nets/feed_forward.py | Nazukixv/LiteASR | 0 | 6626018 | <gh_stars>0
import torch.nn as nn
class PositionwiseFeedForward(nn.Module):
def __init__(
self,
i_dim: int,
h_units: int,
dropout_rate: float,
activation: nn.Module = nn.ReLU(),
):
super().__init__()
self.fc1 = nn.Linear(i_dim, h_units)
self.fc2... | import torch.nn as nn
class PositionwiseFeedForward(nn.Module):
def __init__(
self,
i_dim: int,
h_units: int,
dropout_rate: float,
activation: nn.Module = nn.ReLU(),
):
super().__init__()
self.fc1 = nn.Linear(i_dim, h_units)
self.fc2 = nn.Linear... | none | 1 | 2.921392 | 3 | |
man_knife_ssl_check/source/conf.py | iennae/chef-docs | 0 | 6626019 | <filename>man_knife_ssl_check/source/conf.py
# -*- coding: utf-8 -*-
#
# Chef documentation build configuration file, created by
# sphinx-quickstart on Wed Feb 22 13:50:49 2012.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; val... | <filename>man_knife_ssl_check/source/conf.py
# -*- coding: utf-8 -*-
#
# Chef documentation build configuration file, created by
# sphinx-quickstart on Wed Feb 22 13:50:49 2012.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; val... | en | 0.72064 | # -*- coding: utf-8 -*- # # Chef documentation build configuration file, created by # sphinx-quickstart on Wed Feb 22 13:50:49 2012. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show th... | 1.532711 | 2 |
dimka/core/app.py | madmis/dimka-binance | 0 | 6626020 | import argparse
import time
import logging
import os
from binance.client import Client
from dimka.core import config, models
class Application:
""" BitBot Application instance """
def __init__(self, bot_name: str):
self.bot_name = bot_name
self.__init_default_arguments()
self.config... | import argparse
import time
import logging
import os
from binance.client import Client
from dimka.core import config, models
class Application:
""" BitBot Application instance """
def __init__(self, bot_name: str):
self.bot_name = bot_name
self.__init_default_arguments()
self.config... | en | 0.416428 | BitBot Application instance Add application console argument. Can be used to add specific bot arguments. Parse application config Initialize application logger Initialize database Initialize ArgumentParser and set default arguments Exception to restart loop with bot.run | 2.265196 | 2 |
blog/forms.py | arminadm/django_projects | 0 | 6626021 | <filename>blog/forms.py
from django import forms
from blog.models import Comment
from captcha.fields import CaptchaField
class commentForm(forms.ModelForm):
captcha = CaptchaField()
class Meta:
model = Comment
fields = ['post', 'author', 'email', 'message']
| <filename>blog/forms.py
from django import forms
from blog.models import Comment
from captcha.fields import CaptchaField
class commentForm(forms.ModelForm):
captcha = CaptchaField()
class Meta:
model = Comment
fields = ['post', 'author', 'email', 'message']
| none | 1 | 2.139858 | 2 | |
tests/acquisition/covid_hosp/state_timeseries/test_network.py | chinandrew/delphi-epidata | 1 | 6626022 | """Unit tests for network.py."""
# standard library
import unittest
from unittest.mock import patch
from unittest.mock import sentinel
from delphi.epidata.acquisition.covid_hosp.state_timeseries.network import Network
# py3tester coverage target
__test_target__ = \
'delphi.epidata.acquisition.covid_hosp.state_t... | """Unit tests for network.py."""
# standard library
import unittest
from unittest.mock import patch
from unittest.mock import sentinel
from delphi.epidata.acquisition.covid_hosp.state_timeseries.network import Network
# py3tester coverage target
__test_target__ = \
'delphi.epidata.acquisition.covid_hosp.state_t... | en | 0.869806 | Unit tests for network.py. # standard library # py3tester coverage target Fetch metadata as JSON. | 2.438478 | 2 |
lncrawl/sources/wattpad.py | betabeast12/lightnovel-crawler | 1 | 6626023 | <reponame>betabeast12/lightnovel-crawler<gh_stars>1-10
# -*- coding: utf-8 -*-
from time import time
import logging
import re
from urllib.parse import urlparse
from ..utils.crawler import Crawler
logger = logging.getLogger(__name__)
chapter_info_url = 'https://www.wattpad.com/v4/parts/%s?fields=id,title,pages,text_ur... | # -*- coding: utf-8 -*-
from time import time
import logging
import re
from urllib.parse import urlparse
from ..utils.crawler import Crawler
logger = logging.getLogger(__name__)
chapter_info_url = 'https://www.wattpad.com/v4/parts/%s?fields=id,title,pages,text_url&_=%d'
class WattpadCrawler(Crawler):
base_url = ... | en | 0.374887 | # -*- coding: utf-8 -*- Get novel title, autor, cover etc #description = soup.select('h2.description')[0].get_text() # chapters.reverse() # end for # end def Download body of a single chapter and return as clean html format. # soup = self.get_soup(chapter['url']) # pages = int(re.search( # '[1-9]', re.search('("pag... | 3.053099 | 3 |
MultiPManager/__init__.py | sebastiantrianac/SoftTLON | 0 | 6626024 | # __init__.py
import sys
import stomp
import dill as pickle
import time | # __init__.py
import sys
import stomp
import dill as pickle
import time | ar | 0.447093 | # __init__.py | 1.005283 | 1 |
xlsxwriter/test/comparison/test_header_image01.py | haiyangd/XlsxWriter | 3 | 6626025 | ###############################################################################
#
# Tests for XlsxWriter.
#
# Copyright (c), 2013-2017, <NAME>, <EMAIL>
#
from ..excel_comparsion_test import ExcelComparisonTest
from ...workbook import Workbook
from ...compatibility import BytesIO
class TestCompareXLSXFiles(ExcelCompa... | ###############################################################################
#
# Tests for XlsxWriter.
#
# Copyright (c), 2013-2017, <NAME>, <EMAIL>
#
from ..excel_comparsion_test import ExcelComparisonTest
from ...workbook import Workbook
from ...compatibility import BytesIO
class TestCompareXLSXFiles(ExcelCompa... | en | 0.64347 | ############################################################################### # # Tests for XlsxWriter. # # Copyright (c), 2013-2017, <NAME>, <EMAIL> # Test file created by XlsxWriter against a file created by Excel. Test the creation of a simple XlsxWriter file with image(s). Test the creation of a simple XlsxWriter... | 2.745639 | 3 |
test_liteproto.py | lybicat/lite-protobuf | 1 | 6626026 | <gh_stars>1-10
from unittest import TestCase
from liteproto import load
from liteproto import loads
class TestLiteProto(TestCase):
def test_load_proto_file(self):
load('ut.proto', 'Pair')
def test_load_proto_string(self):
loads('''syntax = "proto2";
message Ack{
enum ConfirmationStatus{
... | from unittest import TestCase
from liteproto import load
from liteproto import loads
class TestLiteProto(TestCase):
def test_load_proto_file(self):
load('ut.proto', 'Pair')
def test_load_proto_string(self):
loads('''syntax = "proto2";
message Ack{
enum ConfirmationStatus{
ACK = 1... | en | 0.289122 | syntax = "proto2"; message Ack{ enum ConfirmationStatus{ ACK = 1; NACK = 2; } required ConfirmationStatus confirmation = 1; required uint32 transactionId = 2; optional string reason = 3; } | 2.463058 | 2 |
authentication/configuration.py | anae09/electionWebService | 0 | 6626027 | from datetime import timedelta
import os
db = os.environ["DATABASE_URL"];
class Configuration:
SQLALCHEMY_DATABASE_URI = "mysql+pymysql://root:root@{}/authentication".format(db);
JWT_SECRET_KEY = "ANA_ANA_ANA";
JWT_ACCESS_TOKEN_EXPIRES = timedelta(hours=1);
JWT_REFRESH_TOKEN_EXPIRES = timedelta(days=... | from datetime import timedelta
import os
db = os.environ["DATABASE_URL"];
class Configuration:
SQLALCHEMY_DATABASE_URI = "mysql+pymysql://root:root@{}/authentication".format(db);
JWT_SECRET_KEY = "ANA_ANA_ANA";
JWT_ACCESS_TOKEN_EXPIRES = timedelta(hours=1);
JWT_REFRESH_TOKEN_EXPIRES = timedelta(days=... | none | 1 | 2.449218 | 2 | |
Imaging/sensor.py | CHEN-yongquan/Asteroid_CPO_seeker | 2 | 6626028 | <filename>Imaging/sensor.py
import numpy as np
import attitude_utils as attu
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import env_utils as envu
class Sensor(object):
def __init__(self, seeker, max_range_intensity=0.0, attitude_parameterization=attu.Quaternion_attitude, use_range=True,
... | <filename>Imaging/sensor.py
import numpy as np
import attitude_utils as attu
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import env_utils as envu
class Sensor(object):
def __init__(self, seeker, max_range_intensity=0.0, attitude_parameterization=attu.Quaternion_attitude, use_range=True,
... | en | 0.614396 | #self.c_dvec = None #pixel_int = np.squeeze(pixel_int) #print('sensor: ', pixel_int, np.linalg.norm(agent_location)) #print('PC2: ', seeker_angles, self.last_seeker_angles) #if self.fov_violation: # print(state) # assert False #print(state) #print(state) #print(state) A fast implementation of the forward pass for... | 2.565557 | 3 |
openmdao/components/eq_constraint_comp.py | sebasgo/OpenMDAO | 0 | 6626029 | """Define the EQConstraintComp class."""
from numbers import Number
import numpy as np
from openmdao.core.explicitcomponent import ExplicitComponent
from openmdao.utils import cs_safe
class EQConstraintComp(ExplicitComponent):
"""
A component that computes the difference between two inputs to test for equa... | """Define the EQConstraintComp class."""
from numbers import Number
import numpy as np
from openmdao.core.explicitcomponent import ExplicitComponent
from openmdao.utils import cs_safe
class EQConstraintComp(ExplicitComponent):
"""
A component that computes the difference between two inputs to test for equa... | en | 0.67768 | Define the EQConstraintComp class. A component that computes the difference between two inputs to test for equality. Attributes ---------- _output_vars : dict Cache the data provided during `add_eq_output` so everything can be saved until setup is called. Initialize an EQConstraintComp, opt... | 2.970779 | 3 |
exercicios/Lista5/Q7.py | AlexandrePeBrito/CursoUdemyPython | 0 | 6626030 | <gh_stars>0
#7. Faça uma função que receba uma temperatura em graus Celsius e retorne-a convertida
#em graus Fahrenheit. A fórmula de conversão é: F = C + (9.0/5.0) + 32.0, sendo F a
#temperatura em Fahrenheit e C' a temperatura em Celsius.
def convertCF(temp):
return temp+(9/5)+32
valor=float(input("Informe a te... | #7. Faça uma função que receba uma temperatura em graus Celsius e retorne-a convertida
#em graus Fahrenheit. A fórmula de conversão é: F = C + (9.0/5.0) + 32.0, sendo F a
#temperatura em Fahrenheit e C' a temperatura em Celsius.
def convertCF(temp):
return temp+(9/5)+32
valor=float(input("Informe a temperatura em... | pt | 0.974808 | #7. Faça uma função que receba uma temperatura em graus Celsius e retorne-a convertida #em graus Fahrenheit. A fórmula de conversão é: F = C + (9.0/5.0) + 32.0, sendo F a #temperatura em Fahrenheit e C' a temperatura em Celsius. | 4.10781 | 4 |
cssTkinter/html_processor.py | rug-gui/cssTk | 4 | 6626031 | def fail():
raise RuntimeError()
def parse_html(html):
from bs4 import BeautifulSoup
b=BeautifulSoup(html, "html.parser")
if not b:
fail()
if not len(b.select("html"))==1:
fail()
return b | def fail():
raise RuntimeError()
def parse_html(html):
from bs4 import BeautifulSoup
b=BeautifulSoup(html, "html.parser")
if not b:
fail()
if not len(b.select("html"))==1:
fail()
return b | none | 1 | 3.120721 | 3 | |
tools/get_pr_ut.py | a6802739/Paddle | 2 | 6626032 | <filename>tools/get_pr_ut.py
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0... | <filename>tools/get_pr_ut.py
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0... | en | 0.714033 | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by appli... | 2.395192 | 2 |
CircuitPython_Made_Easy_On_CPX/cpx_play_file_buttons/code.py | albinger/Adafruit_Learning_System_Guides | 0 | 6626033 | # SPDX-FileCopyrightText: 2017 <NAME> for Adafruit Industries
#
# SPDX-License-Identifier: MIT
from adafruit_circuitplayground.express import cpx
while True:
if cpx.button_a:
cpx.play_file("Wild_Eep.wav")
if cpx.button_b:
cpx.play_file("Coin.wav")
| # SPDX-FileCopyrightText: 2017 <NAME> for Adafruit Industries
#
# SPDX-License-Identifier: MIT
from adafruit_circuitplayground.express import cpx
while True:
if cpx.button_a:
cpx.play_file("Wild_Eep.wav")
if cpx.button_b:
cpx.play_file("Coin.wav")
| en | 0.293691 | # SPDX-FileCopyrightText: 2017 <NAME> for Adafruit Industries # # SPDX-License-Identifier: MIT | 2.225828 | 2 |
test.py | ACkuku/mx-rcnn | 0 | 6626034 | import argparse
import ast
import pprint
import mxnet as mx
from mxnet.module import Module
import numpy as np
from tqdm import tqdm
from symdata.bbox import im_detect
from symdata.loader import TestLoader
from symnet.logger import logger
from symnet.model import load_param, check_shape
def test_net(sym, imdb, args... | import argparse
import ast
import pprint
import mxnet as mx
from mxnet.module import Module
import numpy as np
from tqdm import tqdm
from symdata.bbox import im_detect
from symdata.loader import TestLoader
from symnet.logger import logger
from symnet.model import load_param, check_shape
def test_net(sym, imdb, args... | en | 0.596236 | # print config # setup context # load testing data # load params # produce shape max possible # check shapes # create and bind module # all detections are collected into: # all_boxes[cls][image] = N x 5 array of detections in # (x1, y1, x2, y2, score) # start detection # forward # evaluate model # faster rcnn par... | 2.06621 | 2 |
SOLID LAB/02_OCP/animal.py | borko81/SU_OOP_2021 | 0 | 6626035 | <reponame>borko81/SU_OOP_2021
from abc import ABC, abstractmethod
class SomeAnimal(ABC):
@abstractmethod
def __repr__(self):
pass
class Cat(SomeAnimal):
def __repr__(self):
return "meow"
class Dog(SomeAnimal):
def __repr__(self):
return "wolf-wolf"
class Animal:
def _... | from abc import ABC, abstractmethod
class SomeAnimal(ABC):
@abstractmethod
def __repr__(self):
pass
class Cat(SomeAnimal):
def __repr__(self):
return "meow"
class Dog(SomeAnimal):
def __repr__(self):
return "wolf-wolf"
class Animal:
def __init__(self, species):
... | none | 1 | 3.918344 | 4 | |
qa/L0_lifecycle/lifecycle_test.py | kpedro88/triton-inference-server | 0 | 6626036 | <filename>qa/L0_lifecycle/lifecycle_test.py<gh_stars>0
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retai... | <filename>qa/L0_lifecycle/lifecycle_test.py<gh_stars>0
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retai... | en | 0.890584 | # Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # * Redistributions of source code must retain the above copyright # notice, this list of conditi... | 1.525813 | 2 |
rlbox/rand/sampler.py | ocraft/rl-sandbox | 2 | 6626037 | <gh_stars>1-10
import itertools
import numpy as np
SAMPLER_CACHE = 10000
def cache_gen(source):
values = source()
while True:
for value in values:
yield value
values = source()
class Sampler:
"""Provides precomputed random samples of various distribution."""
randn_gen... | import itertools
import numpy as np
SAMPLER_CACHE = 10000
def cache_gen(source):
values = source()
while True:
for value in values:
yield value
values = source()
class Sampler:
"""Provides precomputed random samples of various distribution."""
randn_gen = cache_gen(la... | en | 0.873309 | Provides precomputed random samples of various distribution. | 3.081449 | 3 |
mars/tensor/expressions/fuse/core.py | lmatz/mars | 1 | 6626038 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2018 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-... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2018 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-... | en | 0.820834 | #!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright 1999-2018 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-... | 2.08458 | 2 |
sqlite_dbint/field_formatter.py | acollu/sqlite_dbint | 0 | 6626039 | from .errors import InvalidConditionFormat, InvalidConditionSequence, InvalidLogicalOperator, InvalidComparisonMember, InvalidConditionalOperator
class FieldFormatter:
comparison_operators = ["=", "<>", ">", "<", ">=", "<="] # equal, not equal, higher, lower, higher equal, lower equal
logical_operators = ["AN... | from .errors import InvalidConditionFormat, InvalidConditionSequence, InvalidLogicalOperator, InvalidComparisonMember, InvalidConditionalOperator
class FieldFormatter:
comparison_operators = ["=", "<>", ">", "<", ">=", "<="] # equal, not equal, higher, lower, higher equal, lower equal
logical_operators = ["AN... | en | 0.757168 | # equal, not equal, higher, lower, higher equal, lower equal | 2.901255 | 3 |
bot/utils/paginator.py | fwizpy/Tortoise-BOT | 1 | 6626040 | from typing import List, Union
from asyncio import TimeoutError
from discord.abc import Messageable
from discord import ClientUser, User, Member, HTTPException
from discord.ext import commands
from bot.utils.embed_handler import info
class Paginator:
ARROW_TO_BEGINNING = "⏪"
ARROW_BACKWARD = "◀"
ARROW_F... | from typing import List, Union
from asyncio import TimeoutError
from discord.abc import Messageable
from discord import ClientUser, User, Member, HTTPException
from discord.ext import commands
from bot.utils.embed_handler import info
class Paginator:
ARROW_TO_BEGINNING = "⏪"
ARROW_BACKWARD = "◀"
ARROW_F... | en | 0.819126 | :param page_size: Maximum page string size for the page content. :param separator: Separator used to break large chunks of content to smaller ones, if needed. :param timeout: How long will the reactions be awaited for. :param prefix: Prefix for the message content. :param suffix: Suffix ... | 2.846509 | 3 |
tasks/Scrapy/scrapy_official_newspapers/spiders/mexicoDOF.py | rongfang323/policy-data-analyzer | 0 | 6626041 | <filename>tasks/Scrapy/scrapy_official_newspapers/spiders/mexicoDOF.py
from scrapy_official_newspapers.spiders import BaseSpider
from scrapy import Request
from scrapy.selector import Selector
from scrapy_official_newspapers.items import ScrapyOfficialNewspapersItem
import time
import json
import re
import datet... | <filename>tasks/Scrapy/scrapy_official_newspapers/spiders/mexicoDOF.py
from scrapy_official_newspapers.spiders import BaseSpider
from scrapy import Request
from scrapy.selector import Selector
from scrapy_official_newspapers.items import ScrapyOfficialNewspapersItem
import time
import json
import re
import datet... | none | 1 | 2.712191 | 3 | |
avwx/service/base.py | mralext20/avwx-engine | 0 | 6626042 | <gh_stars>0
"""
Service base class
"""
# pylint: disable=too-few-public-methods
# stdlib
from socket import gaierror
from typing import Any, Tuple
# library
import httpx
import httpcore
# module
from avwx.exceptions import SourceError
_VALUE_ERROR = "'{}' is not a valid report type for {}. Expected {}"
class Ser... | """
Service base class
"""
# pylint: disable=too-few-public-methods
# stdlib
from socket import gaierror
from typing import Any, Tuple
# library
import httpx
import httpcore
# module
from avwx.exceptions import SourceError
_VALUE_ERROR = "'{}' is not a valid report type for {}. Expected {}"
class Service:
""... | en | 0.748853 | Service base class # pylint: disable=too-few-public-methods # stdlib # library # module Base Service class for fetching reports Fetches a report string from the service Asynchronously fetch a report string from the service Service supporting HTTP requests | 2.620401 | 3 |
src/server/consts.py | theaellengo/stories | 1 | 6626043 | port = 5000
dbname = 'stories_data.db'
secret_key = 'q1er16sa5f7-fdfsa' | port = 5000
dbname = 'stories_data.db'
secret_key = 'q1er16sa5f7-fdfsa' | none | 1 | 0.931772 | 1 | |
setup.py | renestraub/vcu-ui | 0 | 6626044 | import setuptools
from vcuui._version import __version__ as version
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="vcu-ui",
version=version,
author="<NAME>",
author_email="<EMAIL>",
description="NG800/VCU Pro Web UI",
long_description=long_descrip... | import setuptools
from vcuui._version import __version__ as version
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="vcu-ui",
version=version,
author="<NAME>",
author_email="<EMAIL>",
description="NG800/VCU Pro Web UI",
long_description=long_descrip... | en | 0.265382 | # Use MANIFEST.in to add *.html, *.css files | 1.613443 | 2 |
xy/anneal.py | mrzl/Composition37XY | 67 | 6626045 | <filename>xy/anneal.py
import math
import random
def anneal(state, max_temp, min_temp, steps):
factor = -math.log(float(max_temp) / min_temp)
state = state.copy()
best_state = state.copy()
best_energy = state.energy()
previous_energy = best_energy
for step in xrange(steps):
temp = max_t... | <filename>xy/anneal.py
import math
import random
def anneal(state, max_temp, min_temp, steps):
factor = -math.log(float(max_temp) / min_temp)
state = state.copy()
best_state = state.copy()
best_energy = state.energy()
previous_energy = best_energy
for step in xrange(steps):
temp = max_t... | en | 0.473434 | # print step, temp, energy | 3.37938 | 3 |
04_Data Manipulation with pandas/03_Slicing and Indexing/07_Slicing time series.py | mohd-faizy/DataScience-With-Python | 5 | 6626046 | <gh_stars>1-10
'''
07 - Slicing time series:
Slicing is particularly useful for time series since it's a common thing to want to
filter for data within a date range. Add the date column to the index, then use .loc[]
to perform the subsetting. The important thing to remember is to keep your dates in
ISO 8601 format,... | '''
07 - Slicing time series:
Slicing is particularly useful for time series since it's a common thing to want to
filter for data within a date range. Add the date column to the index, then use .loc[]
to perform the subsetting. The important thing to remember is to keep your dates in
ISO 8601 format, that is, yyyy-... | en | 0.811598 | 07 - Slicing time series: Slicing is particularly useful for time series since it's a common thing to want to filter for data within a date range. Add the date column to the index, then use .loc[] to perform the subsetting. The important thing to remember is to keep your dates in ISO 8601 format, that is, yyyy-mm-d... | 4.217638 | 4 |
fast_bert/prediction.py | BobCN2017/fast-bert | 0 | 6626047 | import logging
import os
import torch
from transformers import BertTokenizer
from .data_cls import BertDataBunch
from .learner_cls import BertLearner
from .modeling import (
BertForMultiLabelSequenceClassification,
XLNetForMultiLabelSequenceClassification,
RobertaForMultiLabelSequenceClassification,
Dis... | import logging
import os
import torch
from transformers import BertTokenizer
from .data_cls import BertDataBunch
from .learner_cls import BertLearner
from .modeling import (
BertForMultiLabelSequenceClassification,
XLNetForMultiLabelSequenceClassification,
RobertaForMultiLabelSequenceClassification,
Dis... | en | 0.301297 | # instantiate the new tokeniser object using the tokeniser name | 2.169891 | 2 |
Algo and DSA/LeetCode-Solutions-master/Python/first-unique-number.py | Sourav692/FAANG-Interview-Preparation | 3,269 | 6626048 | <reponame>Sourav692/FAANG-Interview-Preparation<gh_stars>1000+
# Time: ctor: O(k)
# add: O(1)
# showFirstUnique: O(1)
# Space: O(n)
import collections
class FirstUnique(object):
def __init__(self, nums):
"""
:type nums: List[int]
"""
self.__q = collections.OrderedD... | # Time: ctor: O(k)
# add: O(1)
# showFirstUnique: O(1)
# Space: O(n)
import collections
class FirstUnique(object):
def __init__(self, nums):
"""
:type nums: List[int]
"""
self.__q = collections.OrderedDict()
self.__dup = set()
for num in nums:
... | en | 0.385294 | # Time: ctor: O(k) # add: O(1) # showFirstUnique: O(1) # Space: O(n) :type nums: List[int] :rtype: int :type value: int :rtype: None | 3.588906 | 4 |
partition_wiki.py | trneedham/Spectral-Gromov-Wasserstein | 13 | 6626049 | ## Script to run graph partitioning experiment on Wiki dataset
# Load packages
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
import matplotlib
import time
import ot
from scipy import linalg
from scipy import sparse
import gromovWassersteinAveraging as gwa
import spectralGW as sgw
from geode... | ## Script to run graph partitioning experiment on Wiki dataset
# Load packages
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
import matplotlib
import time
import ot
from scipy import linalg
from scipy import sparse
import gromovWassersteinAveraging as gwa
import spectralGW as sgw
from geode... | de | 0.379649 | ## Script to run graph partitioning experiment on Wiki dataset # Load packages # Load the S-GWL code # Load modules for network partitioning experiments # Breakpoint analysis package # import ruptures as rpt ** May 19, 2020: Gradient descent version of graph_partition Achieve a single graph partition via ... | 2.424838 | 2 |
python/tests/test_measurements.py | copark86/kontiki | 94 | 6626050 | import pytest
import numpy as np
from kontiki.measurements import StaticRsCameraMeasurement, LiftingRsCameraMeasurement, NewtonRsCameraMeasurement, \
PositionMeasurement, GyroscopeMeasurement, AccelerometerMeasurement
from kontiki.rotations import quat_to_rotation_matrix
from kontiki.sfm import Landmark, View
from... | import pytest
import numpy as np
from kontiki.measurements import StaticRsCameraMeasurement, LiftingRsCameraMeasurement, NewtonRsCameraMeasurement, \
PositionMeasurement, GyroscopeMeasurement, AccelerometerMeasurement
from kontiki.rotations import quat_to_rotation_matrix
from kontiki.sfm import Landmark, View
from... | en | 0.844585 | # NOTE: If this test fails, first try to clear the pytest cache using # python3 -m pytest --cache-clear # Take the first landmark # Make sure the measurements agree # Newton method should handle noise in the projection # Beware that this doesn't seem to catch faulty derivatives for the camera # NOTE: If this test fail... | 2.095336 | 2 |