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e348cfac18c80bd7b466cf308e654ac0c004c60b | 5,977 | py | Python | utils/parseHindi.py | anshulsamar/seq | c117cc4b30b3825b20afbdcf25d314b192951dcb | [
"Apache-2.0"
] | null | null | null | utils/parseHindi.py | anshulsamar/seq | c117cc4b30b3825b20afbdcf25d314b192951dcb | [
"Apache-2.0"
] | null | null | null | utils/parseHindi.py | anshulsamar/seq | c117cc4b30b3825b20afbdcf25d314b192951dcb | [
"Apache-2.0"
] | null | null | null | from random import shuffle
import random
import math
import string
import sys
import os
import string
import pdb
eng_punctuation = string.punctuation + '\xe2\x80\x9c' + '\xe2\x80\x9d'
hindi_punctuation = ['\xe0\xa5\xa4'] #danda
# words like don't are split into don ' t
# This version doesn't do anything about punct... | 31.962567 | 116 | 0.59913 | from random import shuffle
import random
import math
import string
import sys
import os
import string
import pdb
eng_punctuation = string.punctuation + '\xe2\x80\x9c' + '\xe2\x80\x9d'
hindi_punctuation = ['\xe0\xa5\xa4'] #danda
# words like don't are split into don ' t
def splitSentence(from_sent):
split_sent =... | 2,360 | 0 | 92 |
601f07a9d220323fc83bfb20cfcc81fe7983dd95 | 548 | py | Python | easy/283. Move Zeroes.py | junyinglucn/leetcode | 1fbd0962e4b7dc46b4ed4f0f86778cfedbda72e7 | [
"MIT"
] | null | null | null | easy/283. Move Zeroes.py | junyinglucn/leetcode | 1fbd0962e4b7dc46b4ed4f0f86778cfedbda72e7 | [
"MIT"
] | null | null | null | easy/283. Move Zeroes.py | junyinglucn/leetcode | 1fbd0962e4b7dc46b4ed4f0f86778cfedbda72e7 | [
"MIT"
] | null | null | null | # Solution A
# Solution B
| 21.92 | 51 | 0.421533 | # Solution A
class Solution:
def moveZeroes(self, nums):
if not nums:
return 0
i = 0
for j in range(len(nums)):
if nums[j]:
nums[i] = nums[j]
i += 1
for j in range(i, len(nums)):
nums[j] = 0
# Solution B
class Solu... | 436 | -12 | 96 |
f0c559f76ba2dfee10760eeb157eef237ae05544 | 2,967 | py | Python | pypeman/endpoints.py | klausfmh/pypeman | 4eabfc537fb9b995480d65f8233f767fe99efcc1 | [
"Apache-2.0"
] | 6 | 2016-04-19T15:26:11.000Z | 2021-03-16T18:06:53.000Z | pypeman/endpoints.py | mhcomm/pypeman | 6583fae28bcb47e3b8091c39a91854ae36172cbd | [
"Apache-2.0"
] | 68 | 2016-05-12T16:10:11.000Z | 2022-03-02T01:30:36.000Z | pypeman/endpoints.py | klausfmh/pypeman | 4eabfc537fb9b995480d65f8233f767fe99efcc1 | [
"Apache-2.0"
] | 9 | 2015-12-23T08:23:03.000Z | 2021-09-03T09:22:51.000Z | import asyncio
import logging
import socket
logger = logging.getLogger(__name__)
all_endpoints = []
def reset_pypeman_endpoints():
"""
clears book keeping of all endpoints
Can be useful for unit testing.
"""
all_endpoints.clear()
from pypeman.helpers import lazyload # noqa: E402
wrap = l... | 29.376238 | 99 | 0.560836 | import asyncio
import logging
import socket
logger = logging.getLogger(__name__)
all_endpoints = []
def reset_pypeman_endpoints():
"""
clears book keeping of all endpoints
Can be useful for unit testing.
"""
all_endpoints.clear()
class BaseEndpoint:
def __init__(self):
all_endpo... | 414 | 1,976 | 100 |
162b96b51249301f1c4ae7e666bd60e4bfd68af2 | 677 | py | Python | data/gen_GN.py | leo201313/pysimuComplexNetwork | 5ee6b2e61b1b6f587edb2a948cafb4fd869ad8ba | [
"MIT"
] | null | null | null | data/gen_GN.py | leo201313/pysimuComplexNetwork | 5ee6b2e61b1b6f587edb2a948cafb4fd869ad8ba | [
"MIT"
] | null | null | null | data/gen_GN.py | leo201313/pysimuComplexNetwork | 5ee6b2e61b1b6f587edb2a948cafb4fd869ad8ba | [
"MIT"
] | null | null | null | import networkx as nx
import matplotlib.pyplot as plt
G_fb = nx.read_edgelist("facebook_combined.txt", create_using = nx.Graph(), nodetype=int)
print(nx.info(G_fb))
# if need drawing
ps = nx.spring_layout(G_fb)
nx.draw(G_fb, ps, with_labels = False, node_size = 5)
plt.show()
# ps = nx.spring_layout(G_fb)
# betCent =... | 33.85 | 89 | 0.694239 | import networkx as nx
import matplotlib.pyplot as plt
G_fb = nx.read_edgelist("facebook_combined.txt", create_using = nx.Graph(), nodetype=int)
print(nx.info(G_fb))
# if need drawing
ps = nx.spring_layout(G_fb)
nx.draw(G_fb, ps, with_labels = False, node_size = 5)
plt.show()
# ps = nx.spring_layout(G_fb)
# betCent =... | 0 | 0 | 0 |
6482b7c2f93f1b8d9a3b2bfa04efecc920a5fabc | 1,200 | py | Python | path_planning/pyqtgraph_test.py | matthaeusheer/playground | 407086c8070cf71280b426db61fbe03034283760 | [
"MIT"
] | null | null | null | path_planning/pyqtgraph_test.py | matthaeusheer/playground | 407086c8070cf71280b426db61fbe03034283760 | [
"MIT"
] | 1 | 2020-11-14T09:42:28.000Z | 2020-11-14T09:42:28.000Z | path_planning/pyqtgraph_test.py | matthaeusheer/playground | 407086c8070cf71280b426db61fbe03034283760 | [
"MIT"
] | null | null | null | from pyqtgraph.Qt import QtGui, QtCore
import numpy as np
import pyqtgraph as pg
import random
# Create the main application instance
pg.setConfigOption('background', 'w')
app = pg.mkQApp()
view = pg.PlotWidget()
view.resize(800, 600)
view.setWindowTitle('Scatter plot using pyqtgraph with PyQT5')
view.setAspectLocked... | 23.529412 | 82 | 0.6875 | from pyqtgraph.Qt import QtGui, QtCore
import numpy as np
import pyqtgraph as pg
import random
# Create the main application instance
pg.setConfigOption('background', 'w')
app = pg.mkQApp()
view = pg.PlotWidget()
view.resize(800, 600)
view.setWindowTitle('Scatter plot using pyqtgraph with PyQT5')
view.setAspectLocked... | 164 | 0 | 23 |
13bf024126f34b18d324f0ca9bb1bb8e2e18d82c | 2,229 | py | Python | model/train.py | enixjm/pix2code | ad617cbca9d0c39cbecf426cc9fdc6f08059f4d8 | [
"Apache-2.0"
] | null | null | null | model/train.py | enixjm/pix2code | ad617cbca9d0c39cbecf426cc9fdc6f08059f4d8 | [
"Apache-2.0"
] | null | null | null | model/train.py | enixjm/pix2code | ad617cbca9d0c39cbecf426cc9fdc6f08059f4d8 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
__author__ = 'Tony Beltramelli - www.tonybeltramelli.com'
import tensorflow as tf
sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
import sys
from classes.dataset.Generator import *
from classes.model.pix2code import *
if __name__ == "__main__":
argv = sys.argv[1:]
... | 34.292308 | 126 | 0.720054 | #!/usr/bin/env python
__author__ = 'Tony Beltramelli - www.tonybeltramelli.com'
import tensorflow as tf
sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
import sys
from classes.dataset.Generator import *
from classes.model.pix2code import *
def run(input_path, output_path, is_memory_intensive=Fa... | 1,351 | 0 | 23 |
557b7f3c6e40e0d49df35a36e2bb1426aaf857c8 | 2,209 | py | Python | chrome/browser/ash/policy/tools/generate_device_policy_remover.py | zealoussnow/chromium | fd8a8914ca0183f0add65ae55f04e287543c7d4a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 14,668 | 2015-01-01T01:57:10.000Z | 2022-03-31T23:33:32.000Z | chrome/browser/ash/policy/tools/generate_device_policy_remover.py | zealoussnow/chromium | fd8a8914ca0183f0add65ae55f04e287543c7d4a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 86 | 2015-10-21T13:02:42.000Z | 2022-03-14T07:50:50.000Z | chrome/browser/ash/policy/tools/generate_device_policy_remover.py | zealoussnow/chromium | fd8a8914ca0183f0add65ae55f04e287543c7d4a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 5,941 | 2015-01-02T11:32:21.000Z | 2022-03-31T16:35:46.000Z | # Copyright 2017 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.
"""Create function which removes the specified device policies
from ChromeDeviceSettingsProto.
This function is primarily intended to be used
for the impleme... | 31.112676 | 79 | 0.722952 | # Copyright 2017 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.
"""Create function which removes the specified device policies
from ChromeDeviceSettingsProto.
This function is primarily intended to be used
for the impleme... | 1,203 | 0 | 23 |
70c78495a8a8355cdf25a72248ee053acbe5d09e | 4,051 | py | Python | utility_functions/checkpoint_manager.py | MSREnable/GazeCapture | 54f00ab428a7dbb51f8f0c37f22bba6b3cb54726 | [
"RSA-MD"
] | 15 | 2019-08-28T22:06:51.000Z | 2021-10-08T09:52:13.000Z | utility_functions/checkpoint_manager.py | MSREnable/GazeCapture | 54f00ab428a7dbb51f8f0c37f22bba6b3cb54726 | [
"RSA-MD"
] | null | null | null | utility_functions/checkpoint_manager.py | MSREnable/GazeCapture | 54f00ab428a7dbb51f8f0c37f22bba6b3cb54726 | [
"RSA-MD"
] | 6 | 2020-11-18T02:46:55.000Z | 2021-07-08T11:12:11.000Z | import math
import os
import shutil
import torch
from collections import OrderedDict
| 41.762887 | 124 | 0.655887 | import math
import os
import shutil
import torch
from collections import OrderedDict
def extract_checkpoint_data(args, model):
best_rms_error = math.inf
epoch = 1
val_rms_errors = []
test_rms_errors = []
train_rms_errors = []
best_rms_errors = []
learning_rates = []
if not args.rese... | 3,869 | 0 | 92 |
27a22c03eb1f5ac3a0f550ccf77ba60c76ff7601 | 1,418 | py | Python | subreddit_simulator/database.py | dimitern/SubredditSimulator | b0a43746c688507547646019717ce9e630520f90 | [
"MIT"
] | null | null | null | subreddit_simulator/database.py | dimitern/SubredditSimulator | b0a43746c688507547646019717ce9e630520f90 | [
"MIT"
] | null | null | null | subreddit_simulator/database.py | dimitern/SubredditSimulator | b0a43746c688507547646019717ce9e630520f90 | [
"MIT"
] | null | null | null | import json
from logging import getLogger
import attr
from sqlalchemy import Text, TypeDecorator, create_engine
from sqlalchemy.orm import sessionmaker
logger = getLogger(__name__)
@attr.s(auto_attribs=True)
| 24.033898 | 73 | 0.614951 | import json
from logging import getLogger
import attr
from sqlalchemy import Text, TypeDecorator, create_engine
from sqlalchemy.orm import sessionmaker
logger = getLogger(__name__)
class JSONSerialized(TypeDecorator):
impl = Text
def process_bind_param(self, value, dialect):
return json.dumps(value... | 811 | 349 | 45 |
bec5a5fbc0c17c5944c8cd04be49c871c91a55a9 | 651 | py | Python | class_setup.py | ilankham/wuss-2019-half-day-class | 7b872e5ee294e62c62a20c5cd7b4e441df63f70a | [
"MIT"
] | 2 | 2019-09-04T03:29:12.000Z | 2021-03-02T07:22:08.000Z | class_setup.py | ilankham/wuss-2019-half-day-class | 7b872e5ee294e62c62a20c5cd7b4e441df63f70a | [
"MIT"
] | null | null | null | class_setup.py | ilankham/wuss-2019-half-day-class | 7b872e5ee294e62c62a20c5cd7b4e441df63f70a | [
"MIT"
] | 3 | 2019-09-04T05:57:02.000Z | 2019-09-15T21:21:47.000Z | # This modules contains definitions used in Exercise Files
from typing import Any
def print_with_title(
output: Any,
title: str = '',
linebreaks_before: int = 2,
linebreaks_after: int = 2,
put_stars_after: bool = True,
) -> None:
"""
Print linebreak-padded output with a... | 23.25 | 76 | 0.589862 | # This modules contains definitions used in Exercise Files
from typing import Any
def print_with_title(
output: Any,
title: str = '',
linebreaks_before: int = 2,
linebreaks_after: int = 2,
put_stars_after: bool = True,
) -> None:
"""
Print linebreak-padded output with a... | 0 | 0 | 0 |
0778ebef3af258a1d259010e5612ff39de977bce | 9,513 | py | Python | vision/nn/mobilenetv3.py | wooramkang/competition___ | 5f2e409032f2eddc9d0a8237058129ca2d199b68 | [
"MIT"
] | null | null | null | vision/nn/mobilenetv3.py | wooramkang/competition___ | 5f2e409032f2eddc9d0a8237058129ca2d199b68 | [
"MIT"
] | null | null | null | vision/nn/mobilenetv3.py | wooramkang/competition___ | 5f2e409032f2eddc9d0a8237058129ca2d199b68 | [
"MIT"
] | null | null | null | '''MobileNetV3 in PyTorch.
See the paper "Inverted Residuals and Linear Bottlenecks:
Mobile Networks for Classification, Detection and Segmentation" for more details.
'''
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
import os
import sys
sys.path.append(".")
from meta_ut... | 36.588462 | 130 | 0.589089 | '''MobileNetV3 in PyTorch.
See the paper "Inverted Residuals and Linear Bottlenecks:
Mobile Networks for Classification, Detection and Segmentation" for more details.
'''
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
import os
import sys
sys.path.append(".")
from meta_ut... | 7,913 | 41 | 478 |
0ee0394192b51c955a40df3785735b6429d88380 | 5,445 | py | Python | google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_image_classification.py | ivanmkc/python-aiplatform | 151ed11f6da8e3e0bee5749d360d9a4b135ad988 | [
"Apache-2.0"
] | null | null | null | google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_image_classification.py | ivanmkc/python-aiplatform | 151ed11f6da8e3e0bee5749d360d9a4b135ad988 | [
"Apache-2.0"
] | null | null | null | google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_image_classification.py | ivanmkc/python-aiplatform | 151ed11f6da8e3e0bee5749d360d9a4b135ad988 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2020 Google 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 o... | 37.8125 | 118 | 0.673462 | # -*- coding: utf-8 -*-
# Copyright 2020 Google 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 o... | 0 | 0 | 0 |
498ed27d25aaf7bb70dce790b84d513d20aa617b | 106 | py | Python | code/fakeRPi/__init__.py | BubiDevs/MagnumPi | 820038f7997379f0190c527914adbe2e2b615bb5 | [
"MIT"
] | 2 | 2018-08-09T10:35:42.000Z | 2020-12-04T06:38:09.000Z | code/fakeRPi/__init__.py | BubiDevs/MagnumPi | 820038f7997379f0190c527914adbe2e2b615bb5 | [
"MIT"
] | 2 | 2018-08-22T08:02:16.000Z | 2019-12-05T08:23:31.000Z | code/fakeRPi/__init__.py | BubiDevs/MagnumPi | 820038f7997379f0190c527914adbe2e2b615bb5 | [
"MIT"
] | null | null | null | """
This package is used to simulate RPi.GPIO library during development or if GPIO are not available.
""" | 35.333333 | 98 | 0.764151 | """
This package is used to simulate RPi.GPIO library during development or if GPIO are not available.
""" | 0 | 0 | 0 |
3231a1157ec2cc99477ddef20110685bb4430f56 | 2,155 | py | Python | tools/python/insert_descriptions.py | dhis2/dhis2-api-specification | bdef355508ec150be4bf0b4346b8b0d6a8e665b5 | [
"BSD-3-Clause"
] | 5 | 2019-08-30T09:56:27.000Z | 2021-02-22T11:08:34.000Z | tools/python/insert_descriptions.py | dhis2/dhis2-api-specification | bdef355508ec150be4bf0b4346b8b0d6a8e665b5 | [
"BSD-3-Clause"
] | null | null | null | tools/python/insert_descriptions.py | dhis2/dhis2-api-specification | bdef355508ec150be4bf0b4346b8b0d6a8e665b5 | [
"BSD-3-Clause"
] | 6 | 2018-10-12T07:50:11.000Z | 2020-10-18T05:39:49.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 18 15:34:25 2018
@author: philld
"""
import requests
import json
import re
specfile="../../docs/spec/src/info_openapi.json"
#docsfile="../../docs/input/web_api.cm"
docsfile="/home/philld/reps/dhis2-docs/src/commonmark/en/content/developer/web-api... | 25.05814 | 121 | 0.49884 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 18 15:34:25 2018
@author: philld
"""
import requests
import json
import re
specfile="../../docs/spec/src/info_openapi.json"
#docsfile="../../docs/input/web_api.cm"
docsfile="/home/philld/reps/dhis2-docs/src/commonmark/en/content/developer/web-api... | 1,455 | 0 | 69 |
edc42480a50e42e688504cc06387909d1322efa2 | 1,471 | py | Python | src/compas_singular/rhino/geometry/curve.py | tkmmark/compas_pattern | 50528a4f9d6a253e9b7864eae482d04490761a74 | [
"MIT"
] | 6 | 2019-02-12T17:49:41.000Z | 2020-04-15T10:28:49.000Z | src/compas_singular/rhino/geometry/curve.py | tkmmark/compas_pattern | 50528a4f9d6a253e9b7864eae482d04490761a74 | [
"MIT"
] | 3 | 2020-07-01T13:45:44.000Z | 2020-10-07T14:40:52.000Z | src/compas_singular/rhino/geometry/curve.py | tkmmark/compas_pattern | 50528a4f9d6a253e9b7864eae482d04490761a74 | [
"MIT"
] | 6 | 2019-02-21T11:20:19.000Z | 2020-04-02T10:20:00.000Z | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import rhinoscriptsyntax as rs
from compas_rhino.geometry import RhinoCurve
__all__ = [
'RhinoCurve'
]
| 27.240741 | 107 | 0.601632 | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import rhinoscriptsyntax as rs
from compas_rhino.geometry import RhinoCurve
__all__ = [
'RhinoCurve'
]
class RhinoCurve(RhinoCurve):
def __init__(self):
super(RhinoCurve, self).__init__()
... | 941 | 287 | 23 |
5852391e230d4b53f1a5d88b39b5c71c7f25ba44 | 467 | py | Python | casedetails/serializers.py | LABETE/TestYourProject | 416d5e7993343e42f031e48f4d78e5332d698519 | [
"BSD-3-Clause"
] | null | null | null | casedetails/serializers.py | LABETE/TestYourProject | 416d5e7993343e42f031e48f4d78e5332d698519 | [
"BSD-3-Clause"
] | null | null | null | casedetails/serializers.py | LABETE/TestYourProject | 416d5e7993343e42f031e48f4d78e5332d698519 | [
"BSD-3-Clause"
] | null | null | null | from rest_framework import serializers
from .models import CaseDetail
class CaseDetailSerializer(serializers.ModelSerializer):
"""CaseDetailSerializer use the CaseDetail Model"""
| 29.1875 | 62 | 0.655246 | from rest_framework import serializers
from .models import CaseDetail
class CaseDetailSerializer(serializers.ModelSerializer):
"""CaseDetailSerializer use the CaseDetail Model"""
class Meta:
model = CaseDetail
# Fields displayed on the rest api for casedetails
fields = (
... | 0 | 254 | 26 |
7eaede2556eae82c47ba4345831762e978e83739 | 547 | py | Python | kloudless/auth.py | theonlybex/kloudless-python | 3e00b4659e5f790a9129e858b19d0bf283cd8e1c | [
"MIT"
] | 28 | 2015-08-25T06:13:44.000Z | 2022-02-17T03:39:18.000Z | kloudless/auth.py | theonlybex/kloudless-python | 3e00b4659e5f790a9129e858b19d0bf283cd8e1c | [
"MIT"
] | 11 | 2015-09-15T07:31:02.000Z | 2021-02-09T10:30:13.000Z | kloudless/auth.py | theonlybex/kloudless-python | 3e00b4659e5f790a9129e858b19d0bf283cd8e1c | [
"MIT"
] | 8 | 2015-02-17T23:45:06.000Z | 2021-09-05T09:51:51.000Z | from __future__ import unicode_literals
from requests import auth
| 17.09375 | 59 | 0.66362 | from __future__ import unicode_literals
from requests import auth
class BaseAuth(auth.AuthBase):
def __init__(self, key):
self.key = key
@property
def scheme(self):
raise NotImplementedError
@property
def auth_header(self):
return '{} {}'.format(self.scheme, self.key)
... | 200 | 208 | 69 |
4f209a3661740bb773beeff9691143e7078681ef | 343 | py | Python | PYROCKO/mom_to_sdr.py | alirezaniki/DPSA | 24c6bbb51e3b27721d63140fd46dadd855e0f2b8 | [
"MIT"
] | 4 | 2018-06-13T23:50:13.000Z | 2021-09-25T16:27:34.000Z | PYROCKO/mom_to_sdr.py | alirezaniki/DPSA | 24c6bbb51e3b27721d63140fd46dadd855e0f2b8 | [
"MIT"
] | null | null | null | PYROCKO/mom_to_sdr.py | alirezaniki/DPSA | 24c6bbb51e3b27721d63140fd46dadd855e0f2b8 | [
"MIT"
] | null | null | null | from pyrocko import moment_tensor as mtm
magnitude = 5.4
exp = mtm.magnitude_to_moment(magnitude) # convert the mag to moment in [Nm]
# init pyrocko moment tensor
m = mtm.MomentTensor(
mnn = 0.04*exp,
mee = 0.6*exp,
mdd = -0.63*exp,
mne = 0.04*exp,
mnd = 0.5*exp,
med = 0.21*exp)
print(m) #... | 18.052632 | 77 | 0.638484 | from pyrocko import moment_tensor as mtm
magnitude = 5.4
exp = mtm.magnitude_to_moment(magnitude) # convert the mag to moment in [Nm]
# init pyrocko moment tensor
m = mtm.MomentTensor(
mnn = 0.04*exp,
mee = 0.6*exp,
mdd = -0.63*exp,
mne = 0.04*exp,
mnd = 0.5*exp,
med = 0.21*exp)
print(m) #... | 0 | 0 | 0 |
ba371eaf23d5032469dfe1818f54ece09f6d0052 | 1,384 | py | Python | tests/Custom/app.py | bcsummers/falcon-provider-logger | c91573d6f8906c3e7e76bd00738c96f3f311d9d1 | [
"Apache-2.0"
] | 1 | 2020-08-03T18:09:46.000Z | 2020-08-03T18:09:46.000Z | tests/Custom/app.py | bcsummers/falcon-provider-logger | c91573d6f8906c3e7e76bd00738c96f3f311d9d1 | [
"Apache-2.0"
] | null | null | null | tests/Custom/app.py | bcsummers/falcon-provider-logger | c91573d6f8906c3e7e76bd00738c96f3f311d9d1 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""Falcon app used for testing."""
# standard library
import logging
from typing import Any
# third-party
import falcon
# first-party
from falcon_provider_logger.middleware import LoggerMiddleware
class LoggerCustomLoggerResource:
"""Logger middleware testing resource."""
log = None... | 31.454545 | 76 | 0.642341 | # -*- coding: utf-8 -*-
"""Falcon app used for testing."""
# standard library
import logging
from typing import Any
# third-party
import falcon
# first-party
from falcon_provider_logger.middleware import LoggerMiddleware
class LoggerCustomLoggerResource:
"""Logger middleware testing resource."""
log = None... | 0 | 0 | 0 |
2504132d12d78a2baab76691825092820fad4917 | 4,063 | py | Python | poshan_didi_bot.py | dimagi/poshan-didi-server | dde1b3008c6ba9febf781f3df702ef91ee4b25f8 | [
"BSD-3-Clause"
] | 2 | 2019-06-14T11:37:37.000Z | 2020-04-16T08:30:43.000Z | poshan_didi_bot.py | dimagi/poshan-didi-server | dde1b3008c6ba9febf781f3df702ef91ee4b25f8 | [
"BSD-3-Clause"
] | 5 | 2020-01-28T22:44:22.000Z | 2022-02-10T00:10:07.000Z | poshan_didi_bot.py | dimagi/poshan-didi-server | dde1b3008c6ba9febf781f3df702ef91ee4b25f8 | [
"BSD-3-Clause"
] | 1 | 2020-12-03T19:48:28.000Z | 2020-12-03T19:48:28.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Poshan Didi!
"""
import logging
import logging.handlers
import beneficiary_bot
import nurse_bot
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
from simple_settings import settings
from registration import registration_conversation
# Enable... | 38.695238 | 105 | 0.679793 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Poshan Didi!
"""
import logging
import logging.handlers
import beneficiary_bot
import nurse_bot
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
from simple_settings import settings
from registration import registration_conversation
# Enable... | 0 | 0 | 0 |
445b411ea6aba700be77b4ec60ac04e0382d24d7 | 94,119 | py | Python | curiosity/interaction/models.py | neuroailab/curiosity_deprecated | 65f7cde13b07cdac52eed39535a94e7544c396b8 | [
"Apache-2.0"
] | null | null | null | curiosity/interaction/models.py | neuroailab/curiosity_deprecated | 65f7cde13b07cdac52eed39535a94e7544c396b8 | [
"Apache-2.0"
] | 2 | 2017-11-18T00:53:33.000Z | 2017-11-18T00:53:40.000Z | curiosity/interaction/models.py | neuroailab/curiosity_deprecated | 65f7cde13b07cdac52eed39535a94e7544c396b8 | [
"Apache-2.0"
] | null | null | null | '''
Policy and intrinsic reward models.
'''
import numpy as np
import tensorflow as tf
from curiosity.models.model_building_blocks import ConvNetwithBypasses
from curiosity.models import explicit_future_prediction_base as fp_base
from curiosity.models import jerk_models
import distutils.version
use_tf1 = distutils.ve... | 45.446161 | 239 | 0.591772 | '''
Policy and intrinsic reward models.
'''
import numpy as np
import tensorflow as tf
from curiosity.models.model_building_blocks import ConvNetwithBypasses
from curiosity.models import explicit_future_prediction_base as fp_base
from curiosity.models import jerk_models
import distutils.version
use_tf1 = distutils.ve... | 83,499 | 127 | 1,629 |
f285b53393c80a26f933621bf1ae088ff4e1744b | 20 | py | Python | part1/__init__.py | gdhGaoFei/Python01 | a9fef5290479d575725e2ddbb83c5f2d192606c6 | [
"MIT"
] | 1 | 2019-06-22T23:27:48.000Z | 2019-06-22T23:27:48.000Z | part1/__init__.py | gdhGaoFei/Python01 | a9fef5290479d575725e2ddbb83c5f2d192606c6 | [
"MIT"
] | null | null | null | part1/__init__.py | gdhGaoFei/Python01 | a9fef5290479d575725e2ddbb83c5f2d192606c6 | [
"MIT"
] | null | null | null | print("part1包被导入了~") | 20 | 20 | 0.75 | print("part1包被导入了~") | 0 | 0 | 0 |
4c31524748798164fb9eae86397590e6f331b78e | 3,554 | py | Python | pipeline/models/User.py | FlyGoat/BangumiN | 3fbf95886b116650820f5fbf4672d771fd1e5aae | [
"MIT"
] | 56 | 2018-09-26T05:03:51.000Z | 2022-02-16T12:27:46.000Z | pipeline/models/User.py | FlyGoat/BangumiN | 3fbf95886b116650820f5fbf4672d771fd1e5aae | [
"MIT"
] | 25 | 2018-08-14T05:33:29.000Z | 2022-02-13T00:50:21.000Z | pipeline/models/User.py | FlyGoat/BangumiN | 3fbf95886b116650820f5fbf4672d771fd1e5aae | [
"MIT"
] | 5 | 2019-08-05T03:59:01.000Z | 2022-01-07T06:44:12.000Z | from dictdiffer import diff
from sqlalchemy import Column, Integer, String
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
| 33.847619 | 119 | 0.619021 | from dictdiffer import diff
from sqlalchemy import Column, Integer, String
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class User(Base):
__tablename__ = 'user'
MAX_NAME_LENGTH = 100
MAX_SIGN_LENGTH = 200
MAX_URL_L... | 195 | 3,128 | 23 |
2424f44d4a7d2f813ed93006a67acd97aaa9bb66 | 1,067 | py | Python | base64/komand_base64/actions/decode/action.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | 6 | 2020-11-10T03:07:00.000Z | 2022-02-24T18:07:57.000Z | base64/komand_base64/actions/decode/action.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | 17 | 2020-01-21T16:02:04.000Z | 2022-01-12T15:11:26.000Z | base64/komand_base64/actions/decode/action.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | 2 | 2020-12-26T11:33:23.000Z | 2021-09-30T22:22:43.000Z | import komand
from .schema import DecodeInput, DecodeOutput
import base64
| 31.382353 | 73 | 0.554827 | import komand
from .schema import DecodeInput, DecodeOutput
import base64
class Decode(komand.Action):
def __init__(self):
super(self.__class__, self).__init__(
name='decode',
description='Decode Base64 to data',
input=DecodeInput(),
output=... | 881 | 7 | 104 |
c6dcf725bd23764de094f21a2a52e9e26e955427 | 1,982 | py | Python | augmentation/postprocessor.py | abamaxa/docvision_generator | 8017f29c7d908cb80ddcd59e345a222271fa74de | [
"MIT"
] | 2 | 2020-02-06T17:30:41.000Z | 2020-08-04T10:35:46.000Z | augmentation/postprocessor.py | abamaxa/docvision_generator | 8017f29c7d908cb80ddcd59e345a222271fa74de | [
"MIT"
] | null | null | null | augmentation/postprocessor.py | abamaxa/docvision_generator | 8017f29c7d908cb80ddcd59e345a222271fa74de | [
"MIT"
] | null | null | null | import os
import shutil
import json
import time
import cv2
import numpy as np
import PIL
if __name__ == '__main__' :
erode_all(True) | 29.58209 | 88 | 0.639758 | import os
import shutil
import json
import time
import cv2
import numpy as np
import PIL
def convert_image_to_numpy(image) :
(im_width, im_height) = image.size
image_np = np.fromstring(image.tobytes(), dtype='uint8', count=-1, sep='')
array_shape = (im_height, im_width, int(image_np.shape[0] / (im_height... | 1,726 | 0 | 117 |
1f5f867f3aa5f7e0ba66ce34207df1dc5f2a5fb9 | 1,636 | py | Python | 05_boarding.py | seanbechhofer/advent_of_code_2020 | 1684b3cab4d8f1792a62a4aa5f18094d6d8b0aad | [
"CC0-1.0"
] | null | null | null | 05_boarding.py | seanbechhofer/advent_of_code_2020 | 1684b3cab4d8f1792a62a4aa5f18094d6d8b0aad | [
"CC0-1.0"
] | null | null | null | 05_boarding.py | seanbechhofer/advent_of_code_2020 | 1684b3cab4d8f1792a62a4aa5f18094d6d8b0aad | [
"CC0-1.0"
] | null | null | null | import sys
import unittest
import re
from operator import itemgetter
import argparse
import traceback
# print arg
if __name__=='__main__':
codes = []
for line in sys.stdin:
codes.append(line.strip())
print(part_one(codes))
print(part_two(codes))
| 25.968254 | 90 | 0.562958 | import sys
import unittest
import re
from operator import itemgetter
import argparse
import traceback
class TestStuff(unittest.TestCase):
def data(self):
return [("FBFBBFFRLR",44,5,357),
("BFFFBBFRRR", 70,7,567),
("FFFBBBFRRR",14,7,119),
... | 1,072 | 14 | 274 |
168126d2820d2157fdd1ef197a9231cf648a48f9 | 3,613 | py | Python | fairseq/models/pronouns.py | liufly/refreader | 25d371fc08d89174cfdac1c7e29984d8cb3beff2 | [
"BSD-3-Clause"
] | 19 | 2019-07-18T21:38:38.000Z | 2020-10-24T09:23:37.000Z | fairseq/models/pronouns.py | liufly/refreader | 25d371fc08d89174cfdac1c7e29984d8cb3beff2 | [
"BSD-3-Clause"
] | 1 | 2019-11-29T02:58:08.000Z | 2019-12-01T06:11:16.000Z | fairseq/models/pronouns.py | liufly/refreader | 25d371fc08d89174cfdac1c7e29984d8cb3beff2 | [
"BSD-3-Clause"
] | 2 | 2019-12-18T11:37:39.000Z | 2020-02-04T16:23:20.000Z | from collections import defaultdict
# name list obtained from: https://www.ssa.gov/oact/babynames/decades/century.html
# accessed on Nov 6th, 2018
if __name__ == '__main__':
lex = PronounLexicon()
all_words = lex.all_words()
in_file_path = "data/CBTest/data/cbt_train.txt"
all_lens = []
all_gaps = ... | 35.421569 | 104 | 0.549405 | from collections import defaultdict
# name list obtained from: https://www.ssa.gov/oact/babynames/decades/century.html
# accessed on Nov 6th, 2018
class PronounLexicon():
def __init__(self, lexfile='pronouns.tsv'):
self.lexicon = defaultdict(lambda : [])
with open(lexfile) as fin:
for ... | 1,928 | 409 | 50 |
9b8cd41c9a88310c1ecf7675400e3a30e40f64f5 | 547 | py | Python | EasyView/migrations/0008_viewpoint_fov.py | technoborsch/AtomREST | 7cdcb79cded8f6f7ee4c56890ab99e99bdfb7adb | [
"CC0-1.0"
] | null | null | null | EasyView/migrations/0008_viewpoint_fov.py | technoborsch/AtomREST | 7cdcb79cded8f6f7ee4c56890ab99e99bdfb7adb | [
"CC0-1.0"
] | null | null | null | EasyView/migrations/0008_viewpoint_fov.py | technoborsch/AtomREST | 7cdcb79cded8f6f7ee4c56890ab99e99bdfb7adb | [
"CC0-1.0"
] | null | null | null | # Generated by Django 3.2.2 on 2021-06-29 09:49
import django.core.validators
from django.db import migrations, models
| 27.35 | 169 | 0.669104 | # Generated by Django 3.2.2 on 2021-06-29 09:49
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('EasyView', '0007_viewpoint_clip_constants_status'),
]
operations = [
migrations.AddField(
model_na... | 0 | 403 | 23 |
d31eb94754bb97b7c63aef350da8ea3fdf10c568 | 70 | py | Python | jacdac/button/__init__.py | microsoft/jacdac-python | 712ad5559e29065f5eccb5dbfe029c039132df5a | [
"MIT"
] | 1 | 2022-02-15T21:30:36.000Z | 2022-02-15T21:30:36.000Z | jacdac/button/__init__.py | microsoft/jacdac-python | 712ad5559e29065f5eccb5dbfe029c039132df5a | [
"MIT"
] | null | null | null | jacdac/button/__init__.py | microsoft/jacdac-python | 712ad5559e29065f5eccb5dbfe029c039132df5a | [
"MIT"
] | 1 | 2022-02-08T19:32:45.000Z | 2022-02-08T19:32:45.000Z | # Autogenerated file.
from .client import ButtonClient # type: ignore
| 23.333333 | 47 | 0.785714 | # Autogenerated file.
from .client import ButtonClient # type: ignore
| 0 | 0 | 0 |
868d426e9569bb6634ef8b4f72fc5b8acd6b361f | 1,938 | py | Python | apps/findings/management/commands/import_vulnerability_templates.py | l3l3l/vulnman | f9d520dbf9f6838c459741bb1173a0382d5ecfd6 | [
"MIT"
] | null | null | null | apps/findings/management/commands/import_vulnerability_templates.py | l3l3l/vulnman | f9d520dbf9f6838c459741bb1173a0382d5ecfd6 | [
"MIT"
] | null | null | null | apps/findings/management/commands/import_vulnerability_templates.py | l3l3l/vulnman | f9d520dbf9f6838c459741bb1173a0382d5ecfd6 | [
"MIT"
] | null | null | null | import yaml
import os
from pathlib import Path
from django.conf import settings
from django.core.management.base import BaseCommand
from apps.findings import models
| 41.234043 | 184 | 0.645511 | import yaml
import os
from pathlib import Path
from django.conf import settings
from django.core.management.base import BaseCommand
from apps.findings import models
class Command(BaseCommand):
help = 'Import vulnerability templates from JSON file'
def add_arguments(self, parser):
parser.add_argument(... | 1,548 | 201 | 23 |
3971d41dd74aa8b1d61ef664ed7ac809a3618325 | 1,153 | py | Python | easymode/tests/testcases/testimportall.py | TGoldR/internationalize | 802e918b41835a7d5406f33cebaff1bdf486649b | [
"MIT"
] | null | null | null | easymode/tests/testcases/testimportall.py | TGoldR/internationalize | 802e918b41835a7d5406f33cebaff1bdf486649b | [
"MIT"
] | null | null | null | easymode/tests/testcases/testimportall.py | TGoldR/internationalize | 802e918b41835a7d5406f33cebaff1bdf486649b | [
"MIT"
] | null | null | null | import sys
from django.test import TestCase
error_while_importing = None
try:
from easymode import *
from easymode.admin import *
from easymode.admin.forms import *
from easymode.admin.models import *
from easymode.debug import *
from easymode.i18n import *
from easymode.i18n.admin import ... | 32.027778 | 83 | 0.711188 | import sys
from django.test import TestCase
error_while_importing = None
try:
from easymode import *
from easymode.admin import *
from easymode.admin.forms import *
from easymode.admin.models import *
from easymode.debug import *
from easymode.i18n import *
from easymode.i18n.admin import ... | 0 | 0 | 0 |
17f0d3a778365e7cf4affd00494092615fedf153 | 102 | py | Python | arcade/intro/d. 36. different-symbols-naive/different_symbols_naive.py | jeury301/code-fights | 379dd541aed0f3918cf1659b635ec51368b0b349 | [
"MIT"
] | null | null | null | arcade/intro/d. 36. different-symbols-naive/different_symbols_naive.py | jeury301/code-fights | 379dd541aed0f3918cf1659b635ec51368b0b349 | [
"MIT"
] | null | null | null | arcade/intro/d. 36. different-symbols-naive/different_symbols_naive.py | jeury301/code-fights | 379dd541aed0f3918cf1659b635ec51368b0b349 | [
"MIT"
] | null | null | null | from collections import Counter
| 25.5 | 39 | 0.764706 | from collections import Counter
def differentSymbolsNaive(s):
return len(dict(Counter(s)).keys())
| 48 | 0 | 22 |
1089085b26dac1cefaeed0f7ba6549de5f2202fb | 2,107 | py | Python | viewmodels/home/indexviewmodel.py | prcutler/circuitpythonshow | 9e6ecf416cd8c9fe4625fb9ebac2f5688f73ade7 | [
"MIT"
] | 3 | 2022-01-11T04:06:38.000Z | 2022-02-21T13:12:20.000Z | viewmodels/home/indexviewmodel.py | prcutler/circuitpythonshow | 9e6ecf416cd8c9fe4625fb9ebac2f5688f73ade7 | [
"MIT"
] | 8 | 2022-01-22T16:51:46.000Z | 2022-03-31T15:34:11.000Z | viewmodels/home/indexviewmodel.py | prcutler/circuitpythonshow | 9e6ecf416cd8c9fe4625fb9ebac2f5688f73ade7 | [
"MIT"
] | 1 | 2022-01-14T15:24:48.000Z | 2022-01-14T15:24:48.000Z | from starlette.requests import Request
from typing import List, Optional
from viewmodels.shared.viewmodel import ViewModelBase
from services import episode_service
from data.episode import Episode
| 33.983871 | 95 | 0.687708 | from starlette.requests import Request
from typing import List, Optional
from viewmodels.shared.viewmodel import ViewModelBase
from services import episode_service
from data.episode import Episode
class IndexViewModel(ViewModelBase):
def __init__(self, request: Request):
super().__init__(request)
... | 1,815 | 15 | 76 |
4a957084737ee6e07aec48c0b2028bfbead767f9 | 16,779 | py | Python | wal_steam.py | thereal-S/wal_steam | 0524c0fe5c392b8784d68a692153da8155bd0cd2 | [
"MIT"
] | 177 | 2017-08-18T10:22:21.000Z | 2022-03-06T23:20:12.000Z | wal_steam.py | thereal-S/wal_steam | 0524c0fe5c392b8784d68a692153da8155bd0cd2 | [
"MIT"
] | 77 | 2017-08-18T00:40:15.000Z | 2022-02-11T18:52:10.000Z | wal_steam.py | thereal-S/wal_steam | 0524c0fe5c392b8784d68a692153da8155bd0cd2 | [
"MIT"
] | 36 | 2017-08-23T02:34:14.000Z | 2022-01-03T13:12:02.000Z | #!/usr/bin/env python3
"""
Wal Steam
========================================
oooo oooo .
`888 .8P' .o8
888 d8' .ooooo. .o888oo .oooo.
88888[ d88' `88b 888 `P )88b
888`88b. 888 888 888 .oP"888
888 `88b. 888 888 888 . d8( 888
o888o o888o `Y8bod8P' ... | 33.491018 | 181 | 0.630312 | #!/usr/bin/env python3
"""
Wal Steam
========================================
oooo oooo .
`888 .8P' .o8
888 d8' .ooooo. .o888oo .oooo.
88888[ d88' `88b 888 `P )88b
888`88b. 888 888 888 .oP"888
888 `88b. 888 888 888 . d8( 888
o888o o888o `Y8bod8P' ... | 12,920 | 0 | 505 |
2ccfa7cbd536230e887665371eaf8ff4ae36b4f9 | 200 | py | Python | utils/network.py | buckyroberts/Discord-Python-Framework | 8731e9a01c2e2f83af9882838ad809696fe89e22 | [
"MIT"
] | 10 | 2021-10-04T01:21:51.000Z | 2021-11-17T09:26:17.000Z | utils/network.py | buckyroberts/Discord-Python-Framework | 8731e9a01c2e2f83af9882838ad809696fe89e22 | [
"MIT"
] | 1 | 2021-10-04T01:38:15.000Z | 2021-10-04T01:38:15.000Z | utils/network.py | buckyroberts/Discord-Python-Framework | 8731e9a01c2e2f83af9882838ad809696fe89e22 | [
"MIT"
] | 2 | 2021-11-20T14:41:56.000Z | 2022-02-09T18:49:29.000Z | import requests
def fetch(*, url, headers):
"""
Send a GET request and return response as Python object
"""
response = requests.get(url, headers=headers)
return response.json()
| 18.181818 | 59 | 0.66 | import requests
def fetch(*, url, headers):
"""
Send a GET request and return response as Python object
"""
response = requests.get(url, headers=headers)
return response.json()
| 0 | 0 | 0 |
49792b33f19afed9efddc9395343ced3da2f19b6 | 2,942 | py | Python | predict/helper.py | xjh19971/Autodetection | b88a320d23d943d391d90603ae18369d89bc8385 | [
"MIT"
] | 2 | 2020-06-04T20:41:30.000Z | 2021-07-01T21:28:06.000Z | predict/helper.py | xjh19971/Autodetection | b88a320d23d943d391d90603ae18369d89bc8385 | [
"MIT"
] | null | null | null | predict/helper.py | xjh19971/Autodetection | b88a320d23d943d391d90603ae18369d89bc8385 | [
"MIT"
] | null | null | null | import torch
from shapely.geometry import Polygon
| 33.816092 | 108 | 0.646839 | import torch
from shapely.geometry import Polygon
def convert_map_to_lane_map(ego_map, binary_lane):
mask = (ego_map[0, :, :] == ego_map[1, :, :]) * (ego_map[1, :, :] == ego_map[2, :, :]) + (
ego_map[0, :, :] == 250 / 255)
if binary_lane:
return (~ mask)
return ego_map * (~ mask.view... | 2,723 | 0 | 161 |
3da24ba73dbb35056c554b2c9b424a1f2befb527 | 1,453 | py | Python | run_scripts/gds_import.py | zhaokai-l/bag | a496368ad8fc92ff0f5bf3bfb4ebaa45c540a104 | [
"Apache-2.0",
"BSD-3-Clause"
] | 32 | 2019-05-16T19:25:00.000Z | 2021-12-07T20:12:13.000Z | run_scripts/gds_import.py | zhaokai-l/bag | a496368ad8fc92ff0f5bf3bfb4ebaa45c540a104 | [
"Apache-2.0",
"BSD-3-Clause"
] | 1 | 2021-01-07T03:08:33.000Z | 2021-01-07T03:08:33.000Z | run_scripts/gds_import.py | zhaokai-l/bag | a496368ad8fc92ff0f5bf3bfb4ebaa45c540a104 | [
"Apache-2.0",
"BSD-3-Clause"
] | 11 | 2019-07-23T17:37:48.000Z | 2021-10-19T15:24:33.000Z | # SPDX-License-Identifier: Apache-2.0
# Copyright 2019 Blue Cheetah Analog Design 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
#
# U... | 29.653061 | 81 | 0.722643 | # SPDX-License-Identifier: Apache-2.0
# Copyright 2019 Blue Cheetah Analog Design 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
#
# U... | 365 | 0 | 46 |
8f70e1a6887b98e59c86a33ce0edc6d78eddf21a | 523 | py | Python | instagram.py | abhi-s28/InstaFlask | ded93f75795d5bdcc9d9f06dac3bda094516e7cc | [
"MIT"
] | null | null | null | instagram.py | abhi-s28/InstaFlask | ded93f75795d5bdcc9d9f06dac3bda094516e7cc | [
"MIT"
] | null | null | null | instagram.py | abhi-s28/InstaFlask | ded93f75795d5bdcc9d9f06dac3bda094516e7cc | [
"MIT"
] | 1 | 2020-10-01T03:30:42.000Z | 2020-10-01T03:30:42.000Z | #!/usr/bin/env python3
import argparse
import re
import sys
import requests
| 21.791667 | 57 | 0.594646 | #!/usr/bin/env python3
import argparse
import re
import sys
import requests
def getID(username):
url = "https://www.instagram.com/{}"
r = requests.get(url.format(username))
html = r.text
if r.ok:
return re.findall('"id":"(.*?)",', html)[0]
else:
return "invalid_username"
def userDe... | 401 | 0 | 46 |
af41a834d1cccc2cce84e521eb37ee8cfb3a792d | 2,123 | py | Python | cloudformation/add_cloudflare_ips_to_sgs.py | juliecentofanti172/juliecentofanti.github.io | 446ea8522b9f4a6709124ebb6e0f675acf7fe205 | [
"CC0-1.0"
] | 134 | 2018-05-23T14:00:29.000Z | 2022-03-10T15:47:53.000Z | cloudformation/add_cloudflare_ips_to_sgs.py | ptrourke/concordia | 56ff364dbf38cb8a763df489479821fe43b76d69 | [
"CC0-1.0"
] | 1,104 | 2018-05-22T20:18:22.000Z | 2022-03-31T17:28:40.000Z | cloudformation/add_cloudflare_ips_to_sgs.py | ptrourke/concordia | 56ff364dbf38cb8a763df489479821fe43b76d69 | [
"CC0-1.0"
] | 32 | 2018-05-22T20:22:38.000Z | 2021-12-21T14:11:44.000Z | #!/usr/bin/env python3
"""
Ensure that every security group tagged with “AllowCloudFlareIngress” has
permissions for every public CloudFlare netblock
"""
import sys
import boto3
import requests
from botocore.exceptions import ClientError
EC2_CLIENT = boto3.client("ec2")
CLOUDFLARE_IPV4 = requests.get("https://www.c... | 30.328571 | 87 | 0.681583 | #!/usr/bin/env python3
"""
Ensure that every security group tagged with “AllowCloudFlareIngress” has
permissions for every public CloudFlare netblock
"""
import sys
import boto3
import requests
from botocore.exceptions import ClientError
EC2_CLIENT = boto3.client("ec2")
CLOUDFLARE_IPV4 = requests.get("https://www.c... | 1,449 | 0 | 46 |
8081ee348f5ac1ea91c76d0d12aed0bb2eb67a0b | 7,391 | py | Python | ads/piccolo_migrations/2020-10-04T21:27:16.py | sinisaos/starlette-piccolo-rental | c837756c7930e058ea341c67285d0c38f005b007 | [
"MIT"
] | 3 | 2020-10-08T09:37:03.000Z | 2022-03-29T04:05:42.000Z | ads/piccolo_migrations/2020-10-04T21:27:16.py | sinisaos/starlette-piccolo-rental | c837756c7930e058ea341c67285d0c38f005b007 | [
"MIT"
] | null | null | null | ads/piccolo_migrations/2020-10-04T21:27:16.py | sinisaos/starlette-piccolo-rental | c837756c7930e058ea341c67285d0c38f005b007 | [
"MIT"
] | null | null | null | from piccolo.apps.migrations.auto import MigrationManager
from piccolo.columns.base import OnDelete, OnUpdate
from piccolo.columns.defaults.timestamp import TimestampNow
from piccolo.table import Table
ID = "2020-10-04T21:27:16"
VERSION = "0.13.4"
| 25.139456 | 63 | 0.492085 | from piccolo.apps.migrations.auto import MigrationManager
from piccolo.columns.base import OnDelete, OnUpdate
from piccolo.columns.defaults.timestamp import TimestampNow
from piccolo.table import Table
class Ad(Table, tablename="ad"):
pass
class User(Table, tablename="piccolo_user"):
pass
ID = "2020-10-04... | 7,017 | 52 | 69 |
470d82fe0f9ff4d06e37cfd357a2fd5d5db8cc6b | 2,024 | py | Python | lunar_python/SolarSeason.py | AD189/lunar-python | 2463c7b493e67895476c11cf1a12ff146f2d54e4 | [
"MIT"
] | 2 | 2021-03-12T10:36:16.000Z | 2021-04-03T09:45:54.000Z | lunar_python/SolarSeason.py | AD189/lunar-python | 2463c7b493e67895476c11cf1a12ff146f2d54e4 | [
"MIT"
] | null | null | null | lunar_python/SolarSeason.py | AD189/lunar-python | 2463c7b493e67895476c11cf1a12ff146f2d54e4 | [
"MIT"
] | 1 | 2021-03-08T13:31:53.000Z | 2021-03-08T13:31:53.000Z | # -*- coding: utf-8 -*-
from math import ceil
from .SolarMonth import SolarMonth
class SolarSeason:
"""
阳历季度
"""
MONTH_COUNT = 3
@staticmethod
@staticmethod
def getIndex(self):
"""
获取当月是第几季度
:return: 季度序号，从1开始
"""
return int(ceil(self.__month * ... | 23.811765 | 93 | 0.51581 | # -*- coding: utf-8 -*-
from math import ceil
from .SolarMonth import SolarMonth
class SolarSeason:
"""
阳历季度
"""
MONTH_COUNT = 3
def __init__(self, year, month):
self.__year = year
self.__month = month
@staticmethod
def fromDate(date):
return SolarSeason(date.ye... | 371 | 0 | 214 |
1ef5269a29ed14f340b7b35a1d453fbf4107d653 | 418 | py | Python | dedupper/migrations/0004_auto_20181024_1902.py | anthowen/duplify | 846d01c1b21230937fdf0281b0cf8c0b08a8c24e | [
"MIT"
] | 1 | 2019-04-21T18:57:57.000Z | 2019-04-21T18:57:57.000Z | dedupper/migrations/0004_auto_20181024_1902.py | anthowen/duplify | 846d01c1b21230937fdf0281b0cf8c0b08a8c24e | [
"MIT"
] | null | null | null | dedupper/migrations/0004_auto_20181024_1902.py | anthowen/duplify | 846d01c1b21230937fdf0281b0cf8c0b08a8c24e | [
"MIT"
] | null | null | null | # Generated by Django 2.0.5 on 2018-10-24 19:02
from django.db import migrations, models
| 23.222222 | 72 | 0.617225 | # Generated by Django 2.0.5 on 2018-10-24 19:02
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('dedupper', '0003_auto_20181024_1653'),
]
operations = [
migrations.AlterField(
model_name='progress',
name='completed... | 0 | 304 | 23 |
6ba3dd8d2110f5406aabb2ce13d75dbd24ed27c4 | 943 | py | Python | server.py | quixadhal/PyConq | af81685651d66a117b3a3c2f47e90d9be6d6119c | [
"MIT"
] | 1 | 2017-04-14T11:53:47.000Z | 2017-04-14T11:53:47.000Z | server.py | quixadhal/PyConq | af81685651d66a117b3a3c2f47e90d9be6d6119c | [
"MIT"
] | null | null | null | server.py | quixadhal/PyConq | af81685651d66a117b3a3c2f47e90d9be6d6119c | [
"MIT"
] | 1 | 2019-11-06T00:15:48.000Z | 2019-11-06T00:15:48.000Z | # -*- coding: utf-8 -*- line endings: unix -*-
__author__ = 'quixadhal'
import os
import sys
import time
import sysutils
import log_system
import db_system
logger = log_system.init_logging()
sys.path.append(os.getcwd())
if __name__ == '__main__':
logger.boot('System booting.')
snapshot = sysutils.ResourceSn... | 26.194444 | 98 | 0.706257 | # -*- coding: utf-8 -*- line endings: unix -*-
__author__ = 'quixadhal'
import os
import sys
import time
import sysutils
import log_system
import db_system
logger = log_system.init_logging()
sys.path.append(os.getcwd())
if __name__ == '__main__':
logger.boot('System booting.')
snapshot = sysutils.ResourceSn... | 0 | 0 | 0 |
1594aebaf6d0841b2caf45d8aa4b867e7d74fc2d | 616 | py | Python | scripts/prediction_scripts/final_edit_django_dbs.py | amanparmar17/cultivo-1 | 06030116ba47f99fee8f413404777c9dbdb4e92a | [
"MIT"
] | null | null | null | scripts/prediction_scripts/final_edit_django_dbs.py | amanparmar17/cultivo-1 | 06030116ba47f99fee8f413404777c9dbdb4e92a | [
"MIT"
] | null | null | null | scripts/prediction_scripts/final_edit_django_dbs.py | amanparmar17/cultivo-1 | 06030116ba47f99fee8f413404777c9dbdb4e92a | [
"MIT"
] | 1 | 2018-10-08T17:08:48.000Z | 2018-10-08T17:08:48.000Z | import pandas as pa
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import Imputer,LabelEncoder,OneHotEncoder
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import cross_val_score
#%%
datset=pa.read_cs... | 29.333333 | 73 | 0.751623 | import pandas as pa
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import Imputer,LabelEncoder,OneHotEncoder
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import cross_val_score
#%%
datset=pa.read_cs... | 0 | 0 | 0 |
983f1d8504e2d7ad92153087a3f6fde57e6d1a35 | 345 | py | Python | python/load_data.py | dnbh/kpg | c9e79b8092434919e9ac90dc199f49845403c2ba | [
"MIT"
] | 69 | 2018-01-08T19:56:55.000Z | 2022-03-05T17:14:05.000Z | python/load_data.py | dnbaker/emp | c9e79b8092434919e9ac90dc199f49845403c2ba | [
"MIT"
] | 6 | 2018-04-14T21:09:51.000Z | 2021-07-17T21:08:54.000Z | python/load_data.py | dnbaker/emp | c9e79b8092434919e9ac90dc199f49845403c2ba | [
"MIT"
] | 11 | 2018-03-21T19:28:35.000Z | 2021-06-29T17:33:34.000Z | #!/usr/bin/env python
import numpy as np
if __name__ == "__main__":
import sys
data = load_data(sys.argv[1])
print("data: %s, %s" % (data, str(data.shape)))
| 23 | 59 | 0.542029 | #!/usr/bin/env python
import numpy as np
def load_data(path):
return np.array([line.strip().split('\t')[2:] for
line in open(path) if line[0] != "#"],
dtype=np.double)
if __name__ == "__main__":
import sys
data = load_data(sys.argv[1])
print("data: %s, %s" % ... | 150 | 0 | 23 |
db472a55122303d1be9380f2fcee3bbadb791f64 | 56 | py | Python | examples/_tests_scripts/_alchemy.py | rhololkeolke/catalyst-rl | ec18ff4a58b6d00652f772231db8de86debb4b3d | [
"Apache-2.0"
] | 46 | 2020-03-27T20:12:32.000Z | 2021-11-21T19:08:51.000Z | examples/_tests_scripts/_alchemy.py | rhololkeolke/catalyst-rl | ec18ff4a58b6d00652f772231db8de86debb4b3d | [
"Apache-2.0"
] | 2 | 2020-04-06T10:43:04.000Z | 2020-07-01T18:26:10.000Z | examples/_tests_scripts/_alchemy.py | rhololkeolke/catalyst-rl | ec18ff4a58b6d00652f772231db8de86debb4b3d | [
"Apache-2.0"
] | 5 | 2020-04-17T14:09:53.000Z | 2021-05-10T08:58:29.000Z | # flake8: noqa
from catalyst_rl.dl import AlchemyRunner
| 18.666667 | 40 | 0.821429 | # flake8: noqa
from catalyst_rl.dl import AlchemyRunner
| 0 | 0 | 0 |
74525a6c7c9b583ed6d5b4b3b60fdfe64f60b9f1 | 766 | py | Python | piecash/__init__.py | aslehigh/piecash | 797aca5abd08b686e5d47f077b00a095fb4804ed | [
"MIT"
] | null | null | null | piecash/__init__.py | aslehigh/piecash | 797aca5abd08b686e5d47f077b00a095fb4804ed | [
"MIT"
] | null | null | null | piecash/__init__.py | aslehigh/piecash | 797aca5abd08b686e5d47f077b00a095fb4804ed | [
"MIT"
] | 1 | 2020-01-18T15:55:04.000Z | 2020-01-18T15:55:04.000Z | # -*- coding: utf-8 -*-
"""Python interface to GnuCash documents"""
from . import metadata
__version__ = metadata.version
__author__ = metadata.authors[0]
__license__ = metadata.license
__copyright__ = metadata.copyright
from ._common import (
GncNoActiveSession,
GnucashException, GncValidationError, GncImbal... | 26.413793 | 60 | 0.761097 | # -*- coding: utf-8 -*-
"""Python interface to GnuCash documents"""
from . import metadata
__version__ = metadata.version
__author__ = metadata.authors[0]
__license__ = metadata.license
__copyright__ = metadata.copyright
from ._common import (
GncNoActiveSession,
GnucashException, GncValidationError, GncImbal... | 0 | 0 | 0 |
8d7bbc000d01c91d54319de8215580d95edad4f0 | 3,304 | py | Python | pyrealtime/record_layer.py | ewhitmire/pyrealtime | 5cfd37ff7b05cf33d2aab9b9f45188ddf7c76db4 | [
"MIT"
] | 62 | 2017-07-27T18:09:14.000Z | 2021-07-19T00:09:40.000Z | pyrealtime/record_layer.py | ewhitmire/pyrealtime | 5cfd37ff7b05cf33d2aab9b9f45188ddf7c76db4 | [
"MIT"
] | 24 | 2017-06-24T03:26:45.000Z | 2020-11-11T15:24:29.000Z | pyrealtime/record_layer.py | ewhitmire/pyrealtime | 5cfd37ff7b05cf33d2aab9b9f45188ddf7c76db4 | [
"MIT"
] | 15 | 2017-07-02T23:22:25.000Z | 2020-10-28T15:23:58.000Z | from datetime import datetime
import numpy as np
import time
from pyrealtime.layer import ThreadLayer, TransformMixin, ProducerMixin, EncoderMixin
| 32.07767 | 125 | 0.590496 | from datetime import datetime
import numpy as np
import time
from pyrealtime.layer import ThreadLayer, TransformMixin, ProducerMixin, EncoderMixin
class RecordLayer(TransformMixin, EncoderMixin, ThreadLayer):
def __init__(self, port_in, filename=None, file_prefix="recording", append_time=False, split_axis=None,... | 2,606 | 370 | 176 |
a7030cae2429a487b2f2fa49806ec37f38fc6875 | 107 | py | Python | tests/test_get_data/__init__.py | jm-rivera/pydeflate | 3e95950124de4bdcfb7fdcefdc91cbe1b2c32935 | [
"MIT"
] | null | null | null | tests/test_get_data/__init__.py | jm-rivera/pydeflate | 3e95950124de4bdcfb7fdcefdc91cbe1b2c32935 | [
"MIT"
] | null | null | null | tests/test_get_data/__init__.py | jm-rivera/pydeflate | 3e95950124de4bdcfb7fdcefdc91cbe1b2c32935 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Nov 20 12:17:30 2021
@author: jorge
"""
| 13.375 | 35 | 0.598131 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Nov 20 12:17:30 2021
@author: jorge
"""
| 0 | 0 | 0 |
07f74a95da853c13aa66d869a6ab1ec3af5c3c47 | 14,957 | py | Python | pynet/models/unet.py | Duplums/pynet | 5f91dc2e80c2eb4e44d57403dd65aa80e8a5875b | [
"CECILL-B"
] | null | null | null | pynet/models/unet.py | Duplums/pynet | 5f91dc2e80c2eb4e44d57403dd65aa80e8a5875b | [
"CECILL-B"
] | null | null | null | pynet/models/unet.py | Duplums/pynet | 5f91dc2e80c2eb4e44d57403dd65aa80e8a5875b | [
"CECILL-B"
] | null | null | null | # -*- coding: utf-8 -*-
##########################################################################
# NSAp - Copyright (C) CEA, 2019
# Distributed under the terms of the CeCILL-B license, as published by
# the CEA-CNRS-INRIA. Refer to the LICENSE file or to
# http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html
#... | 40.424324 | 119 | 0.588487 | # -*- coding: utf-8 -*-
##########################################################################
# NSAp - Copyright (C) CEA, 2019
# Distributed under the terms of the CeCILL-B license, as published by
# the CEA-CNRS-INRIA. Refer to the LICENSE file or to
# http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html
#... | 6,489 | 14 | 358 |
d7b9d85d7abdc6211c2282d0512cf4ac7d2aadf3 | 113 | py | Python | AlgoMethod/dp/simple_dp/03.py | Nishi05/Competitive-programming | e59a6755b706d9d5c1f359f4511d92c114e6a94e | [
"MIT"
] | null | null | null | AlgoMethod/dp/simple_dp/03.py | Nishi05/Competitive-programming | e59a6755b706d9d5c1f359f4511d92c114e6a94e | [
"MIT"
] | null | null | null | AlgoMethod/dp/simple_dp/03.py | Nishi05/Competitive-programming | e59a6755b706d9d5c1f359f4511d92c114e6a94e | [
"MIT"
] | null | null | null | n = int(input())
F = [0]*(n+1)
F[0], F[1] = 0, 1
for i in range(2, n+1):
F[i] = F[i-1] + F[i-2]
print(F[n])
| 14.125 | 26 | 0.424779 | n = int(input())
F = [0]*(n+1)
F[0], F[1] = 0, 1
for i in range(2, n+1):
F[i] = F[i-1] + F[i-2]
print(F[n])
| 0 | 0 | 0 |
e6d489f5056d991fbe7591b3c1f265cf7f919903 | 5,917 | py | Python | pts/model/lstnet/lstnet_estimator.py | nitinthedreamer/pytorch-ts | 7f81b2fbab2e8913792d841b0d66deb489ee6185 | [
"Apache-2.0",
"MIT"
] | 647 | 2020-03-16T16:47:50.000Z | 2022-03-31T23:29:40.000Z | pts/model/lstnet/lstnet_estimator.py | nitinthedreamer/pytorch-ts | 7f81b2fbab2e8913792d841b0d66deb489ee6185 | [
"Apache-2.0",
"MIT"
] | 71 | 2020-03-17T10:58:14.000Z | 2022-03-23T08:53:12.000Z | pts/model/lstnet/lstnet_estimator.py | nitinthedreamer/pytorch-ts | 7f81b2fbab2e8913792d841b0d66deb489ee6185 | [
"Apache-2.0",
"MIT"
] | 110 | 2020-03-16T17:39:45.000Z | 2022-03-25T22:26:39.000Z | from typing import List, Optional
import numpy as np
import torch
import torch.nn as nn
from gluonts.core.component import validated
from gluonts.dataset.field_names import FieldName
from gluonts.torch.util import copy_parameters
from gluonts.torch.model.predictor import PyTorchPredictor
from gluonts.model.predictor ... | 34.805882 | 88 | 0.653034 | from typing import List, Optional
import numpy as np
import torch
import torch.nn as nn
from gluonts.core.component import validated
from gluonts.dataset.field_names import FieldName
from gluonts.torch.util import copy_parameters
from gluonts.torch.model.predictor import PyTorchPredictor
from gluonts.model.predictor ... | 4,988 | 170 | 23 |
7a66572067f8305e5b63b5c06553c18be4e3c50c | 829 | py | Python | python/utils.py | oliche/NeuropixelsRegistration | 6dc97ea46f531f2adaf2cf2cf5277d6aaf499e88 | [
"MIT"
] | 7 | 2021-01-25T17:29:53.000Z | 2022-02-20T23:13:15.000Z | python/utils.py | oliche/NeuropixelsRegistration | 6dc97ea46f531f2adaf2cf2cf5277d6aaf499e88 | [
"MIT"
] | 1 | 2021-04-08T04:10:54.000Z | 2022-01-28T09:35:38.000Z | python/utils.py | oliche/NeuropixelsRegistration | 6dc97ea46f531f2adaf2cf2cf5277d6aaf499e88 | [
"MIT"
] | 2 | 2021-01-25T17:29:56.000Z | 2022-02-04T14:09:14.000Z | import numpy as np
from scipy.io import loadmat
import os | 31.884615 | 79 | 0.677925 | import numpy as np
from scipy.io import loadmat
import os
def mat2npy(mat_chanmap_dir):
mat_chanmap = loadmat(mat_chanmap_dir)
x = mat_chanmap['xcoords']
y = mat_chanmap['ycoords']
npy_chanmap = np.hstack([x,y])
np.save('chanmap.npy', npy_chanmap)
return npy_chanmap
def merge_filtere... | 726 | 0 | 46 |
f5f389bfc7ade10eb551a3065beaed24b6f9f866 | 2,295 | py | Python | google/ads/google_ads/v4/proto/services/income_range_view_service_pb2_grpc.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | 1 | 2021-04-09T04:28:47.000Z | 2021-04-09T04:28:47.000Z | google/ads/google_ads/v4/proto/services/income_range_view_service_pb2_grpc.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v4/proto/services/income_range_view_service_pb2_grpc.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc
from google.ads.google_ads.v4.proto.resources import income_range_view_pb2 as google_dot_ads_dot_googleads__v4_dot_proto_dot_resources_dot_income__range__view__pb2
from google.ads.google_ads.v4.proto.services import income_range_view_ser... | 44.134615 | 178 | 0.817865 | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc
from google.ads.google_ads.v4.proto.resources import income_range_view_pb2 as google_dot_ads_dot_googleads__v4_dot_proto_dot_resources_dot_income__range__view__pb2
from google.ads.google_ads.v4.proto.services import income_range_view_ser... | 701 | 0 | 23 |
d4c77b1a26c287554651e6a15191ae129fda0e2d | 528 | py | Python | images/migrations/0004_auto_20160606_1603.py | OpenCanada/website | 6334ff412addc0562ac247080194e5d182e8e924 | [
"MIT"
] | 10 | 2015-12-18T16:41:33.000Z | 2018-11-11T08:36:46.000Z | images/migrations/0004_auto_20160606_1603.py | OpenCanada/website | 6334ff412addc0562ac247080194e5d182e8e924 | [
"MIT"
] | 96 | 2015-07-14T22:45:56.000Z | 2017-07-25T19:59:48.000Z | images/migrations/0004_auto_20160606_1603.py | OpenCanada/website | 6334ff412addc0562ac247080194e5d182e8e924 | [
"MIT"
] | 9 | 2015-07-28T14:38:43.000Z | 2019-01-04T17:38:42.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import wagtail.images.models
| 25.142857 | 137 | 0.666667 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import wagtail.images.models
class Migration(migrations.Migration):
dependencies = [
('images', '0003_auto_20160405_1542'),
]
operations = [
migrations.AlterField(
model_... | 0 | 369 | 23 |
1ee85e632b42753a0f412f31534072b3a6255c3d | 1,851 | py | Python | make_phr2sg_id.py | Kyubyong/msg_reply | 046f6308785d8e65d7ae429964df40a001a9675d | [
"Apache-2.0"
] | 79 | 2019-05-21T06:41:46.000Z | 2021-08-06T13:07:38.000Z | make_phr2sg_id.py | abhijitdalavi/msg_reply | 046f6308785d8e65d7ae429964df40a001a9675d | [
"Apache-2.0"
] | 2 | 2019-05-28T19:28:24.000Z | 2020-04-07T01:17:45.000Z | make_phr2sg_id.py | abhijitdalavi/msg_reply | 046f6308785d8e65d7ae429964df40a001a9675d | [
"Apache-2.0"
] | 16 | 2019-05-27T06:10:38.000Z | 2020-10-21T06:19:21.000Z | '''
Make two dictionaries: phr2sg_id and sg_id2phr
phr2sg_id["nice work']==6152
phr2sg_id["nicely done']==6152
phr2sg_id["nice going']==6152
sg_id2phr[6152]=="Well done."
'''
import json, os
import operator
import pickle
from hparams import hp
import re
from tqdm import tqdm
if __name__ == "__main__":
print("D... | 29.380952 | 83 | 0.579687 | '''
Make two dictionaries: phr2sg_id and sg_id2phr
phr2sg_id["nice work']==6152
phr2sg_id["nicely done']==6152
phr2sg_id["nice going']==6152
sg_id2phr[6152]=="Well done."
'''
import json, os
import operator
import pickle
from hparams import hp
import re
from tqdm import tqdm
def refine(text):
text = text.lower... | 78 | 0 | 23 |
9ce2a8640535b80e39865e972b8191dfea0819ec | 3,922 | py | Python | cride/taskapp/tasks.py | jecs580/django_second_app | ef04b48342ef560eac8f58540ba684e5eb7d7926 | [
"MIT"
] | null | null | null | cride/taskapp/tasks.py | jecs580/django_second_app | ef04b48342ef560eac8f58540ba684e5eb7d7926 | [
"MIT"
] | 2 | 2019-12-24T00:03:49.000Z | 2019-12-24T00:03:50.000Z | cride/taskapp/tasks.py | jecs580/django_second_app | ef04b48342ef560eac8f58540ba684e5eb7d7926 | [
"MIT"
] | null | null | null | """Tareas de Celery."""
# Django
from django.conf import settings
from django.template.loader import render_to_string
from django.utils import timezone
from django.core.mail import EmailMultiAlternatives
# Utilities
import jwt
from datetime import timedelta
# Celery
from celery.decorators import task, periodic_task
... | 46.690476 | 114 | 0.703723 | """Tareas de Celery."""
# Django
from django.conf import settings
from django.template.loader import render_to_string
from django.utils import timezone
from django.core.mail import EmailMultiAlternatives
# Utilities
import jwt
from datetime import timedelta
# Celery
from celery.decorators import task, periodic_task
... | 0 | 0 | 0 |
0360fb911ea98bc93a9c5ce44d7d498eacc0e89d | 727 | py | Python | solutions/balanced-brackets/my_balanced_brackets.py | DuncanDHall/the-coding-interview | 701f8aacea34336e084bc978b974fb4816ffff85 | [
"MIT"
] | null | null | null | solutions/balanced-brackets/my_balanced_brackets.py | DuncanDHall/the-coding-interview | 701f8aacea34336e084bc978b974fb4816ffff85 | [
"MIT"
] | null | null | null | solutions/balanced-brackets/my_balanced_brackets.py | DuncanDHall/the-coding-interview | 701f8aacea34336e084bc978b974fb4816ffff85 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Balanced Brackets
#
# Write a function that accepts a string consisting entiring of brackets
# (`[](){}`) and returns whether it is balanced. Every "opening" bracket must
# be followed by a closing bracket of the same type. There can also be nested
# brackets, which... | 22.030303 | 78 | 0.500688 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Balanced Brackets
#
# Write a function that accepts a string consisting entiring of brackets
# (`[](){}`) and returns whether it is balanced. Every "opening" bracket must
# be followed by a closing bracket of the same type. There can also be nested
# brackets, which... | 201 | 0 | 23 |
5d186bbf0c94ad97c379b5beb8f402cd5fe1c4a8 | 9,689 | py | Python | pgcrypto/fields.py | fabiopintodacosta/django-pgcrypto | 02108795ec97f80af92ff6800a1c55eb958c3496 | [
"BSD-2-Clause"
] | null | null | null | pgcrypto/fields.py | fabiopintodacosta/django-pgcrypto | 02108795ec97f80af92ff6800a1c55eb958c3496 | [
"BSD-2-Clause"
] | null | null | null | pgcrypto/fields.py | fabiopintodacosta/django-pgcrypto | 02108795ec97f80af92ff6800a1c55eb958c3496 | [
"BSD-2-Clause"
] | null | null | null | from django import forms
from django.conf import settings
from django.core import validators
from django.db import models
from django.utils import six, timezone
from django.utils.encoding import force_text
from django.utils.translation import ugettext_lazy as _
import django
from .base import aes_pad_key, armor, dearm... | 39.386179 | 119 | 0.655898 | from django import forms
from django.conf import settings
from django.core import validators
from django.db import models
from django.utils import six, timezone
from django.utils.encoding import force_text
from django.utils.translation import ugettext_lazy as _
import django
from .base import aes_pad_key, armor, dearm... | 6,048 | 2,680 | 242 |
0164ea9a92965c440456dfd2e3e253929b4f943e | 571 | py | Python | tmuxp/cli/ls.py | otherJL0/tmuxp | 52d9c0d3c13556fd5d6ffdb3125fcf3afd0e845d | [
"MIT"
] | 1,615 | 2015-01-05T19:31:48.000Z | 2018-03-09T08:09:20.000Z | tmuxp/cli/ls.py | sthagen/tmuxp | 1c8bfaec3d4f622c4fbc717a873279046c40a664 | [
"MIT"
] | 244 | 2015-02-13T16:24:53.000Z | 2018-03-10T05:15:33.000Z | tmuxp/cli/ls.py | otherJL0/tmuxp | 52d9c0d3c13556fd5d6ffdb3125fcf3afd0e845d | [
"MIT"
] | 118 | 2015-01-16T13:47:39.000Z | 2018-02-07T21:35:31.000Z | import os
import click
from .constants import VALID_CONFIG_DIR_FILE_EXTENSIONS
from .utils import get_config_dir
@click.command(
name="ls",
short_help="List configured sessions in :meth:`tmuxp.cli.utils.get_config_dir`.",
)
| 27.190476 | 85 | 0.681261 | import os
import click
from .constants import VALID_CONFIG_DIR_FILE_EXTENSIONS
from .utils import get_config_dir
@click.command(
name="ls",
short_help="List configured sessions in :meth:`tmuxp.cli.utils.get_config_dir`.",
)
def command_ls():
tmuxp_dir = get_config_dir()
if os.path.exists(tmuxp_dir) ... | 313 | 0 | 22 |
f0c4eea2eb341f55afdd3f15c4cd9f1759fbd1e6 | 131 | py | Python | examplePlugin/urls.py | uzairAK/serverom-panel | 3dcde05ad618e6bef280db7d3180f926fe2ab1db | [
"MIT"
] | null | null | null | examplePlugin/urls.py | uzairAK/serverom-panel | 3dcde05ad618e6bef280db7d3180f926fe2ab1db | [
"MIT"
] | null | null | null | examplePlugin/urls.py | uzairAK/serverom-panel | 3dcde05ad618e6bef280db7d3180f926fe2ab1db | [
"MIT"
] | null | null | null | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.examplePlugin, name='examplePlugin'),
] | 18.714286 | 58 | 0.70229 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.examplePlugin, name='examplePlugin'),
] | 0 | 0 | 0 |
4105abcfda06aac463d907f00d48142f9f8cdc20 | 1,544 | py | Python | scripts/Halofinding/rsVshm.py | Hoseung/pyRamAn | f9386fa5a9f045f98590039988d3cd50bc488dc2 | [
"MIT"
] | 1 | 2021-11-25T16:11:56.000Z | 2021-11-25T16:11:56.000Z | scripts/Halofinding/rsVshm.py | Hoseung/pyRamAn | f9386fa5a9f045f98590039988d3cd50bc488dc2 | [
"MIT"
] | 6 | 2020-02-17T13:44:43.000Z | 2020-06-25T15:35:05.000Z | scripts/Halofinding/rsVshm.py | Hoseung/pyRamAn | f9386fa5a9f045f98590039988d3cd50bc488dc2 | [
"MIT"
] | 1 | 2021-11-25T16:11:56.000Z | 2021-11-25T16:11:56.000Z | # -*- coding: utf-8 -*-
"""
Test resemblance of HM and RS trees
Created on Sun Jun 14 00:33:52 2015
@author: hoseung
"""
# Load HM
from astropy.io import fits
from astropy.table import Table
import tree
wdir = '/home/hoseung/Work/data/AGN2/'
data = fits.getdata(wdir + "halo/TMtree.fits", 1)
hmt = Table(data)
#%%
i... | 26.169492 | 91 | 0.645078 | # -*- coding: utf-8 -*-
"""
Test resemblance of HM and RS trees
Created on Sun Jun 14 00:33:52 2015
@author: hoseung
"""
# Load HM
from astropy.io import fits
from astropy.table import Table
import tree
wdir = '/home/hoseung/Work/data/AGN2/'
data = fits.getdata(wdir + "halo/TMtree.fits", 1)
hmt = Table(data)
#%%
i... | 0 | 0 | 0 |
3b29ed288583c49b6b5414b265a987a5d61de758 | 54,054 | py | Python | src/PCE_Codes/variables/continuous.py | nasa/UQPCE | 64f2143cddf83ca2e835442db2fc9ef33c6d26be | [
"NASA-1.3"
] | 13 | 2020-11-07T22:03:35.000Z | 2022-01-12T22:08:53.000Z | src/PCE_Codes/variables/continuous.py | nasa/UQPCE | 64f2143cddf83ca2e835442db2fc9ef33c6d26be | [
"NASA-1.3"
] | null | null | null | src/PCE_Codes/variables/continuous.py | nasa/UQPCE | 64f2143cddf83ca2e835442db2fc9ef33c6d26be | [
"NASA-1.3"
] | 4 | 2020-11-23T16:24:03.000Z | 2022-03-25T01:25:21.000Z | from builtins import setattr, getattr
from fractions import Fraction
import math
from multiprocessing import Process, Manager
from warnings import warn, showwarning
try:
from sympy import *
import numpy as np
from scipy.stats import norm, beta, gamma, expon
from scipy.linalg import pascal
from scip... | 32.194163 | 116 | 0.566064 | from builtins import setattr, getattr
from fractions import Fraction
import math
from multiprocessing import Process, Manager
from warnings import warn, showwarning
try:
from sympy import *
import numpy as np
from scipy.stats import norm, beta, gamma, expon
from scipy.linalg import pascal
from scip... | 9,264 | 0 | 162 |
3b43290f57f5361d72dccd25ab08a3672574209a | 518 | py | Python | knn/test_light_cnn_in_numpy.py | Starman-SWA/Face-recognition-trolley-based-on-AX7010-FPGA-board | d518158c20da4b3f2536867cfda30848911d08c7 | [
"MIT"
] | 1 | 2021-02-05T03:17:43.000Z | 2021-02-05T03:17:43.000Z | knn/test_light_cnn_in_numpy.py | Starman-SWA/Face-recognition-trolley-based-on-AX7010-FPGA-board | d518158c20da4b3f2536867cfda30848911d08c7 | [
"MIT"
] | null | null | null | knn/test_light_cnn_in_numpy.py | Starman-SWA/Face-recognition-trolley-based-on-AX7010-FPGA-board | d518158c20da4b3f2536867cfda30848911d08c7 | [
"MIT"
] | 2 | 2020-10-20T12:36:35.000Z | 2021-02-05T03:37:30.000Z | import os
import numpy as np
import cv2
from module.lightCNN_model_in_numpy import LightCNN9_in_numpy
def get_net(path):
'''
be used to get class net
:param para:
:return:
'''
print('Loading network...')
cfg = np.load(path, allow_pickle=True)
cfg = cfg.item()
net = LightCNN9_in_num... | 20.72 | 61 | 0.65444 | import os
import numpy as np
import cv2
from module.lightCNN_model_in_numpy import LightCNN9_in_numpy
def get_net(path):
'''
be used to get class net
:param para:
:return:
'''
print('Loading network...')
cfg = np.load(path, allow_pickle=True)
cfg = cfg.item()
net = LightCNN9_in_num... | 111 | 0 | 23 |
74e42152f180c52cf37b991dd6644029a8a92167 | 414 | py | Python | humon/iterators.py | spacemeat/humon-py | f67119be656c169fda5624ef1d33d639e0e84809 | [
"MIT"
] | null | null | null | humon/iterators.py | spacemeat/humon-py | f67119be656c169fda5624ef1d33d639e0e84809 | [
"MIT"
] | null | null | null | humon/iterators.py | spacemeat/humon-py | f67119be656c169fda5624ef1d33d639e0e84809 | [
"MIT"
] | null | null | null | class ChildNodeIterator:
'''Iterates over a Humon node's children.'''
def __next__(self):
'''Iterate.'''
if self.idx < self.node.numChildren:
res = self.node.getChild(self.idx)
self.idx += 1
return res
raise StopIteration
| 21.789474 | 48 | 0.550725 | class ChildNodeIterator:
'''Iterates over a Humon node's children.'''
def __init__(self, node):
self.node = node
self.idx = 0
def __iter__(self):
return self
def __next__(self):
'''Iterate.'''
if self.idx < self.node.numChildren:
res = self.node.ge... | 68 | 0 | 53 |
f0b51b9f7d466f08118ff51d5a5c47810f375d48 | 13,354 | py | Python | M1_Retinal_Image_quality_EyePACS/test_outside.py | rmaphoh/AutoMorph | 0c82ce322c6cd8bd80f06bbd85c5c2542e534cb8 | [
"Apache-2.0"
] | 1 | 2022-01-28T00:56:23.000Z | 2022-01-28T00:56:23.000Z | M1_Retinal_Image_quality_EyePACS/test_outside.py | rmaphoh/AutoMorph | 0c82ce322c6cd8bd80f06bbd85c5c2542e534cb8 | [
"Apache-2.0"
] | null | null | null | M1_Retinal_Image_quality_EyePACS/test_outside.py | rmaphoh/AutoMorph | 0c82ce322c6cd8bd80f06bbd85c5c2542e534cb8 | [
"Apache-2.0"
] | null | null | null |
'''
Code of testing
'''
import argparse
import logging
import os
import sys
import csv
import time
import torch
import numpy as np
import pandas as pd
import torch.nn as nn
from tqdm import tqdm
from pycm import *
import matplotlib
import matplotlib.pyplot as plt
from dataset import BasicDataset_OUT
from torch.utils.d... | 43.640523 | 384 | 0.626704 |
'''
Code of testing
'''
import argparse
import logging
import os
import sys
import csv
import time
import torch
import numpy as np
import pandas as pd
import torch.nn as nn
from tqdm import tqdm
from pycm import *
import matplotlib
import matplotlib.pyplot as plt
from dataset import BasicDataset_OUT
from torch.utils.d... | 7,993 | 0 | 46 |
b90f7db21c8d8c225c6f1cad8ec1625177bb1306 | 128 | py | Python | app/googlesearch.py | logoogol/docker-blog | 57c1615b88474dd1e96fb6b4fb4311d7fd6b1e5f | [
"Unlicense"
] | null | null | null | app/googlesearch.py | logoogol/docker-blog | 57c1615b88474dd1e96fb6b4fb4311d7fd6b1e5f | [
"Unlicense"
] | null | null | null | app/googlesearch.py | logoogol/docker-blog | 57c1615b88474dd1e96fb6b4fb4311d7fd6b1e5f | [
"Unlicense"
] | null | null | null | from googlesearch import search
query = "fastapi"
for i in search(query, tld="co.in", num=10, stop=10, pause=2):
print(i) | 21.333333 | 62 | 0.679688 | from googlesearch import search
query = "fastapi"
for i in search(query, tld="co.in", num=10, stop=10, pause=2):
print(i) | 0 | 0 | 0 |
1b70ce2758a4f45779a3bc09fae2ec3f214f03e2 | 1,403 | py | Python | python/primary_implementation_case_1111.py | MichaelWehar/BooleanMatrixRectangleProblem | fb59e80d9c6b2d0d1137a9df38274648eee3c79e | [
"MIT"
] | 6 | 2020-06-17T21:56:28.000Z | 2021-12-17T18:15:51.000Z | python/primary_implementation_case_1111.py | MichaelWehar/BooleanMatrixRectangleProblem | fb59e80d9c6b2d0d1137a9df38274648eee3c79e | [
"MIT"
] | 3 | 2019-05-24T00:03:45.000Z | 2020-06-11T07:23:36.000Z | python/primary_implementation_case_1111.py | MichaelWehar/BooleanMatrixRectangleProblem | fb59e80d9c6b2d0d1137a9df38274648eee3c79e | [
"MIT"
] | 1 | 2020-06-17T21:57:57.000Z | 2020-06-17T21:57:57.000Z | # Created on 5/21/20
# Author: Ari Liloia and Michael Wehar
| 45.258065 | 95 | 0.595866 | # Created on 5/21/20
# Author: Ari Liloia and Michael Wehar
def rectExists(m, n, matrix):
# This set will store pairs of column indexes
columnPairs = set()
# Traverse through the matrix row by row
for i in range(m):
currentRow = []
# Traverse through current row's elements to find all 1... | 1,320 | 0 | 23 |
70b6edf1d7ed5c850c6fa6c6f71b89b1b6eca662 | 1,026 | py | Python | mshtensorflow/utilities.py | adhamhesham97/Deep-Learning-framework | 7904b993fd7c45f4c0b7fbe028eacd3ce2773d7f | [
"MIT"
] | null | null | null | mshtensorflow/utilities.py | adhamhesham97/Deep-Learning-framework | 7904b993fd7c45f4c0b7fbe028eacd3ce2773d7f | [
"MIT"
] | 1 | 2021-02-05T07:58:20.000Z | 2021-02-05T07:58:20.000Z | mshtensorflow/utilities.py | adhamhesham97/Deep-Learning-framework | 7904b993fd7c45f4c0b7fbe028eacd3ce2773d7f | [
"MIT"
] | 2 | 2021-01-25T14:50:14.000Z | 2021-05-24T22:07:12.000Z | # -*- coding: utf-8 -*-
"""
Created on Sun Jan 17 04:01:48 2021
@author: Adham
"""
from .Model import model
import numpy as np
import pickle | 25.65 | 54 | 0.568226 | # -*- coding: utf-8 -*-
"""
Created on Sun Jan 17 04:01:48 2021
@author: Adham
"""
from .Model import model
import numpy as np
import pickle
def hot_one(labels, num_classes):
num_of_examples = labels.shape[0]
hot_one = np.zeros((num_classes, num_of_examples))
for i in range(num_of_examples):
hot_... | 815 | 0 | 69 |
92bd0a2d6dc3498cd87834e41655cd486ff86538 | 1,334 | py | Python | src/modules/stepwise_log.py | ArturPrzybysz/ProbabilisticDeepDiffusionModels | 3056d8da25107aeeb122106e63958bb3fc62d7a4 | [
"MIT"
] | null | null | null | src/modules/stepwise_log.py | ArturPrzybysz/ProbabilisticDeepDiffusionModels | 3056d8da25107aeeb122106e63958bb3fc62d7a4 | [
"MIT"
] | null | null | null | src/modules/stepwise_log.py | ArturPrzybysz/ProbabilisticDeepDiffusionModels | 3056d8da25107aeeb122106e63958bb3fc62d7a4 | [
"MIT"
] | null | null | null | import numpy as np
| 35.105263 | 84 | 0.614693 | import numpy as np
class StepwiseLog:
def __init__(self, diffusion_steps, max_keep=None):
self.diffusion_steps = diffusion_steps
self.max_keep = max_keep
self.reset()
def reset(self):
self.metric_per_t = {t: [] for t in range(1, self.diffusion_steps + 1)}
self.avg_per_... | 1,133 | -3 | 184 |
7a1e62a32c2100b9e0e9ce8499a978935b09eb5e | 1,034 | py | Python | src/model.py | vilelabruno/MarcowitzPortfolioOPT | 54086d5004b5b05f811732efe229931f3af0a6fa | [
"MIT"
] | 2 | 2020-03-09T14:39:50.000Z | 2020-03-10T12:48:25.000Z | src/model.py | vilelabruno/MarkowitzPortfolioOPT | 54086d5004b5b05f811732efe229931f3af0a6fa | [
"MIT"
] | null | null | null | src/model.py | vilelabruno/MarkowitzPortfolioOPT | 54086d5004b5b05f811732efe229931f3af0a6fa | [
"MIT"
] | null | null | null | from pulp import *
if __name__ == "main":
main() | 34.466667 | 75 | 0.569632 | from pulp import *
def main():
x = LpVariable('x')
w_vars = []
problem = LpProblem('portfolio_theory', LpMaximize)
for i in range(v.shape[0]):
w_i = LpVariable('w_' + str(i), 0, 1)
w_vars.append(w_i)
for vector in vv_set.set:
diff_list = []
for index, _ in enumerate(... | 957 | 0 | 24 |
05914362d55bdb70b02c058cc14030c673112fc3 | 3,713 | py | Python | bento/core/tests/test_package.py | abadger/Bento | 3f1ddefd8d21decbc018d097d3ec5da4dc9364df | [
"BSD-3-Clause"
] | 1 | 2015-10-25T13:08:36.000Z | 2015-10-25T13:08:36.000Z | bento/core/tests/test_package.py | abadger/Bento | 3f1ddefd8d21decbc018d097d3ec5da4dc9364df | [
"BSD-3-Clause"
] | null | null | null | bento/core/tests/test_package.py | abadger/Bento | 3f1ddefd8d21decbc018d097d3ec5da4dc9364df | [
"BSD-3-Clause"
] | null | null | null | import unittest
import os
import tempfile
from nose.tools import \
assert_equal
from bento import PackageDescription
from bento.core.package import file_list, static_representation
from bento.core.meta import PackageMetadata
from bento.core.pkg_objects import DataFiles
from bento.core.node import Node
| 32.286957 | 88 | 0.601939 | import unittest
import os
import tempfile
from nose.tools import \
assert_equal
from bento import PackageDescription
from bento.core.package import file_list, static_representation
from bento.core.meta import PackageMetadata
from bento.core.pkg_objects import DataFiles
from bento.core.node import Node
def create... | 3,088 | 69 | 247 |
63b3b97ccf4be9b5fc60a99d9e914cc8ddfdc44a | 3,016 | py | Python | Season_Data/RandomForest.py | mattyopl/FPL_ML | c39dbd2370860f0e31ccdd8950518f7042853ba1 | [
"MIT"
] | null | null | null | Season_Data/RandomForest.py | mattyopl/FPL_ML | c39dbd2370860f0e31ccdd8950518f7042853ba1 | [
"MIT"
] | null | null | null | Season_Data/RandomForest.py | mattyopl/FPL_ML | c39dbd2370860f0e31ccdd8950518f7042853ba1 | [
"MIT"
] | null | null | null | import pandas as pd
import math
from sklearn.ensemble import RandomForestRegressor
trainInput = pd.read_excel("FPL_Season_Data_Only_Inputs_Shuffled2.xlsx")
trainInput = trainInput.drop(trainInput.columns[0], axis=1)
trainOutput = pd.read_excel("FPL_Season_Data_Only_Outputs_Shuffled2.xlsx")
trainOutput = trainOu... | 33.142857 | 124 | 0.726459 | import pandas as pd
import math
from sklearn.ensemble import RandomForestRegressor
trainInput = pd.read_excel("FPL_Season_Data_Only_Inputs_Shuffled2.xlsx")
trainInput = trainInput.drop(trainInput.columns[0], axis=1)
trainOutput = pd.read_excel("FPL_Season_Data_Only_Outputs_Shuffled2.xlsx")
trainOutput = trainOu... | 0 | 0 | 0 |
338d5c5eac8fc90fd690b66c2251645f25f8ea2a | 2,269 | py | Python | load_helper.py | Alger-Z/ContainerEscapeDetection | c42357e301dd291e0250768ac8c0922207c71a96 | [
"Apache-2.0"
] | null | null | null | load_helper.py | Alger-Z/ContainerEscapeDetection | c42357e301dd291e0250768ac8c0922207c71a96 | [
"Apache-2.0"
] | null | null | null | load_helper.py | Alger-Z/ContainerEscapeDetection | c42357e301dd291e0250768ac8c0922207c71a96 | [
"Apache-2.0"
] | null | null | null | import re
import os
from numpy.lib.function_base import insert
from utils import *
if __name__ =='__main__':
pass
#load_adfa_Attack_files("./ADFA-LD/Attack_Data_Master/")
| 25.494382 | 81 | 0.577347 | import re
import os
from numpy.lib.function_base import insert
from utils import *
def load_one_flle(filename):
x = []
with open(filename) as f:
line = f.readline()
x = line.strip('\n').split()
return x
def load_adfa_training_files(rootdir):
x = []
y = []
list = os.listdir(roo... | 1,901 | 0 | 182 |
b68228d5f4415656679f5941afc1efdf19942bde | 3,455 | py | Python | lebab.py | edasque/sublime-lebab | a2a3ac0d207650b89aa55d9500f905fc19340178 | [
"MIT"
] | 3 | 2016-07-29T02:53:26.000Z | 2017-04-24T01:17:12.000Z | lebab.py | edasque/sublime-lebab | a2a3ac0d207650b89aa55d9500f905fc19340178 | [
"MIT"
] | 2 | 2016-07-29T02:58:37.000Z | 2016-07-29T12:36:53.000Z | lebab.py | edasque/sublime-lebab | a2a3ac0d207650b89aa55d9500f905fc19340178 | [
"MIT"
] | null | null | null | import sublime, sublime_plugin
import json
import os
import platform
import subprocess
if platform.system() == 'Darwin':
os_name = 'osx'
elif platform.system() == 'Windows':
os_name = 'windows'
else:
os_name = 'linux'
# /usr/local/lib/node_modules/lebab/bin/index.js
BIN_PATH = os.path.join(
sublime.... | 31.697248 | 92 | 0.586397 | import sublime, sublime_plugin
import json
import os
import platform
import subprocess
if platform.system() == 'Darwin':
os_name = 'osx'
elif platform.system() == 'Windows':
os_name = 'windows'
else:
os_name = 'linux'
# /usr/local/lib/node_modules/lebab/bin/index.js
BIN_PATH = os.path.join(
sublime.... | 2,783 | 26 | 233 |
cbe337a29dd71a50920d6cfe3e1874dc9b6aa136 | 2,063 | py | Python | setup.py | michhar/chantilly | 6a8e4c3605a830c952d1cc8fd6405e5b4c104633 | [
"BSD-3-Clause"
] | 43 | 2019-10-03T12:30:38.000Z | 2020-11-11T10:43:51.000Z | setup.py | michhar/chantilly | 6a8e4c3605a830c952d1cc8fd6405e5b4c104633 | [
"BSD-3-Clause"
] | 16 | 2020-03-20T15:27:06.000Z | 2020-10-07T21:04:07.000Z | setup.py | michhar/chantilly | 6a8e4c3605a830c952d1cc8fd6405e5b4c104633 | [
"BSD-3-Clause"
] | 4 | 2020-04-26T00:06:39.000Z | 2020-11-11T11:44:22.000Z | import io
import os
from setuptools import find_packages, setup
here = os.path.abspath(os.path.dirname(__file__))
# Package meta-data.
NAME = 'chantilly'
DESCRIPTION = 'Deployment tool for online machine learning models'
LONG_DESCRIPTION_CONTENT_TYPE = 'text/markdown'
URL = 'https://github.com/creme-ml/chantilly'
EMA... | 29.056338 | 76 | 0.624818 | import io
import os
from setuptools import find_packages, setup
here = os.path.abspath(os.path.dirname(__file__))
# Package meta-data.
NAME = 'chantilly'
DESCRIPTION = 'Deployment tool for online machine learning models'
LONG_DESCRIPTION_CONTENT_TYPE = 'text/markdown'
URL = 'https://github.com/creme-ml/chantilly'
EMA... | 0 | 0 | 0 |
d06fd2bcde44153c0b0a860dc6c5189095e2d061 | 1,738 | py | Python | em_stitch/utils/schemas.py | AllenInstitute/em_stitch | 5b24e57b83fdda14cdd7c2bd540c517f68c0569c | [
"BSD-2-Clause"
] | 2 | 2019-04-20T00:28:47.000Z | 2020-01-31T11:12:43.000Z | em_stitch/utils/schemas.py | AllenInstitute/em_stitch | 5b24e57b83fdda14cdd7c2bd540c517f68c0569c | [
"BSD-2-Clause"
] | 14 | 2019-04-22T17:05:11.000Z | 2020-11-03T20:49:35.000Z | em_stitch/utils/schemas.py | AllenInstitute/em_stitch | 5b24e57b83fdda14cdd7c2bd540c517f68c0569c | [
"BSD-2-Clause"
] | 1 | 2020-05-12T17:34:06.000Z | 2020-05-12T17:34:06.000Z | import warnings
from marshmallow.warnings import ChangedInMarshmallow3Warning
from argschema import ArgSchema
from argschema.fields import (
InputDir, InputFile, Float,
Int, OutputFile, Str, Boolean)
warnings.simplefilter(
action='ignore',
category=ChangedInMarshmallow3Warning)
| 35.469388 | 79 | 0.643268 | import warnings
from marshmallow.warnings import ChangedInMarshmallow3Warning
from argschema import ArgSchema
from argschema.fields import (
InputDir, InputFile, Float,
Int, OutputFile, Str, Boolean)
warnings.simplefilter(
action='ignore',
category=ChangedInMarshmallow3Warning)
class G... | 0 | 1,403 | 23 |
f311ad910ad7272315fb76662295b913c6b7bbed | 435 | py | Python | config.py | zhoukaigo/Blog | ccc72d2eb1c85f68f0cdc6cb17021638dd4c59b9 | [
"MIT"
] | null | null | null | config.py | zhoukaigo/Blog | ccc72d2eb1c85f68f0cdc6cb17021638dd4c59b9 | [
"MIT"
] | null | null | null | config.py | zhoukaigo/Blog | ccc72d2eb1c85f68f0cdc6cb17021638dd4c59b9 | [
"MIT"
] | null | null | null | import os
basedir = os.path.abspath(os.path.dirname(__file__))
| 20.714286 | 82 | 0.701149 | import os
basedir = os.path.abspath(os.path.dirname(__file__))
class config:
SECRET_KEY = os.environ.get('SECRET_KEY') or 'hard to guess string'
SQLALCHEMY_DATABASE_URI = 'sqlite:///' + os.path.join(basedir, 'data-dev.sqlite')
DEBUG = True
OAUTH_CRENDENTIALS = {
'facebook':{
'id': os.environ.get('FACEBOOK_I... | 4 | 342 | 23 |
312e3692c41b0390ba6a7a1445764ad07fb9b002 | 3,923 | py | Python | dataset.py | Montherapy/Deep-reinforcement-learning-for-multi-class-imbalanced-classification | 19b9f5f758c9deaf490c942477d01e5e7c2ab94a | [
"MIT"
] | 2 | 2021-11-09T07:28:52.000Z | 2022-03-31T10:50:48.000Z | dataset.py | Montherapy/Deep-reinforcement-learning-for-multi-class-imbalanced-classification | 19b9f5f758c9deaf490c942477d01e5e7c2ab94a | [
"MIT"
] | null | null | null | dataset.py | Montherapy/Deep-reinforcement-learning-for-multi-class-imbalanced-classification | 19b9f5f758c9deaf490c942477d01e5e7c2ab94a | [
"MIT"
] | null | null | null | import tensorflow as tf
import numpy as np
| 49.0375 | 188 | 0.644405 | import tensorflow as tf
import numpy as np
class Dataset:
def __init__(self, config):
self.config = config
self.n_class = len(self.config.new_class)
self.label_connector = {}
self.get_label_changer()
self.set_data(self.config.minority_subsample_rate)
self.get_rho()
... | 3,021 | 836 | 23 |
9b18b289fbdc9eebf80838f115db5723f06bf47e | 4,914 | py | Python | hknweb/studentservices/views.py | jyxzhang/hknweb | a01ffd8587859bf63c46213be6a0c8b87164a5c2 | [
"MIT"
] | null | null | null | hknweb/studentservices/views.py | jyxzhang/hknweb | a01ffd8587859bf63c46213be6a0c8b87164a5c2 | [
"MIT"
] | null | null | null | hknweb/studentservices/views.py | jyxzhang/hknweb | a01ffd8587859bf63c46213be6a0c8b87164a5c2 | [
"MIT"
] | null | null | null | from django.shortcuts import render, redirect
from django.urls import reverse
from django.http import JsonResponse
from django.conf import settings
from django.contrib import messages
from django.core.mail import EmailMessage
from django.template.loader import render_to_string
from hknweb.events.views.aggregate_displa... | 29.781818 | 103 | 0.61396 | from django.shortcuts import render, redirect
from django.urls import reverse
from django.http import JsonResponse
from django.conf import settings
from django.contrib import messages
from django.core.mail import EmailMessage
from django.template.loader import render_to_string
from hknweb.events.views.aggregate_displa... | 3,953 | 0 | 132 |
f899e276be46e4a405d0eec3da36b75e4e966d04 | 3,695 | py | Python | test/events/unix/test_event_ping_no_response.py | jochenparm/moler | 0253d677e0ef150206758c7991197ba5687d0965 | [
"BSD-3-Clause"
] | 57 | 2018-02-20T08:16:47.000Z | 2022-03-28T10:36:57.000Z | test/events/unix/test_event_ping_no_response.py | jochenparm/moler | 0253d677e0ef150206758c7991197ba5687d0965 | [
"BSD-3-Clause"
] | 377 | 2018-07-19T11:56:27.000Z | 2021-07-09T13:08:12.000Z | test/events/unix/test_event_ping_no_response.py | jochenparm/moler | 0253d677e0ef150206758c7991197ba5687d0965 | [
"BSD-3-Clause"
] | 24 | 2018-04-14T20:49:40.000Z | 2022-03-29T10:44:26.000Z | # -*- coding: utf-8 -*-
__author__ = 'Marcin Usielski'
__copyright__ = 'Copyright (C) 2020, Nokia'
__email__ = 'marcin.usielski@nokia.com'
import time
from moler.events.unix.ping_no_response import PingNoResponse
from moler.util.moler_test import MolerTest
import datetime
| 38.489583 | 108 | 0.685792 | # -*- coding: utf-8 -*-
__author__ = 'Marcin Usielski'
__copyright__ = 'Copyright (C) 2020, Nokia'
__email__ = 'marcin.usielski@nokia.com'
import time
from moler.events.unix.ping_no_response import PingNoResponse
from moler.util.moler_test import MolerTest
import datetime
def test_event_ping_no_response(buffer_con... | 3,371 | 0 | 46 |
d3f75757c743ea36ba1c319f15db9a5bfa198f72 | 2,918 | py | Python | lldb/test/API/commands/gui/viewlarge/TestGuiViewLarge.py | acidburn0zzz/llvm-project | 7ca7a2547f00e34f5ec91be776a1d0bbca74b7a9 | [
"Apache-2.0"
] | 250 | 2019-05-07T12:56:44.000Z | 2022-03-10T15:52:06.000Z | lldb/test/API/commands/gui/viewlarge/TestGuiViewLarge.py | acidburn0zzz/llvm-project | 7ca7a2547f00e34f5ec91be776a1d0bbca74b7a9 | [
"Apache-2.0"
] | 410 | 2019-06-06T20:52:32.000Z | 2022-01-18T14:21:48.000Z | lldb/test/API/commands/gui/viewlarge/TestGuiViewLarge.py | acidburn0zzz/llvm-project | 7ca7a2547f00e34f5ec91be776a1d0bbca74b7a9 | [
"Apache-2.0"
] | 50 | 2019-05-10T21:12:24.000Z | 2022-01-21T06:39:47.000Z | """
Test that the 'gui' displays long lines/names correctly without overruns.
"""
import lldb
from lldbsuite.test.decorators import *
from lldbsuite.test.lldbtest import *
from lldbsuite.test.lldbpexpect import PExpectTest
| 41.098592 | 104 | 0.679232 | """
Test that the 'gui' displays long lines/names correctly without overruns.
"""
import lldb
from lldbsuite.test.decorators import *
from lldbsuite.test.lldbtest import *
from lldbsuite.test.lldbpexpect import PExpectTest
class GuiViewLargeCommandTest(PExpectTest):
mydir = TestBase.compute_mydir(__file__)
... | 2,321 | 350 | 23 |
f3a3e3128a63e5c3648c9b0836ff421e5f592630 | 2,021 | py | Python | src/gedml/core/samplers/m_per_class_sampler.py | wangck20/GeDML | 1f76ac2094d7b88be7fd4eb6145e5586e547b9ca | [
"MIT"
] | null | null | null | src/gedml/core/samplers/m_per_class_sampler.py | wangck20/GeDML | 1f76ac2094d7b88be7fd4eb6145e5586e547b9ca | [
"MIT"
] | null | null | null | src/gedml/core/samplers/m_per_class_sampler.py | wangck20/GeDML | 1f76ac2094d7b88be7fd4eb6145e5586e547b9ca | [
"MIT"
] | null | null | null | import torch
from torch.utils.data.sampler import Sampler
from collections import defaultdict
import numpy as np
class MPerClassSampler(Sampler):
"""
Give m samples per class.
Args:
labels (np.ndarray):
Ground truth of datasets
m (int):
M samples per class
... | 31.092308 | 84 | 0.606136 | import torch
from torch.utils.data.sampler import Sampler
from collections import defaultdict
import numpy as np
def safe_random_choice(input_list, size):
replace = len(input_list) < size
return np.random.choice(input_list, size=size, replace=replace)
class MPerClassSampler(Sampler):
"""
Give m sampl... | 1,471 | 0 | 146 |
5eb7587882143368b5cdfa592d36c79d3b11a897 | 403 | py | Python | scrapy_framework/html/request.py | savor007/scrapy_framework | 9f1266eb2d4bb7e181d1c5352b05298e77040980 | [
"MIT"
] | null | null | null | scrapy_framework/html/request.py | savor007/scrapy_framework | 9f1266eb2d4bb7e181d1c5352b05298e77040980 | [
"MIT"
] | null | null | null | scrapy_framework/html/request.py | savor007/scrapy_framework | 9f1266eb2d4bb7e181d1c5352b05298e77040980 | [
"MIT"
] | null | null | null | class Request(object):
"""
create a instance of Request
""" | 28.785714 | 110 | 0.595533 | class Request(object):
"""
create a instance of Request
"""
def __init__(self, url, method="GET", headers=None, cookies=None, data=None, callback='parse', meta=None):
self.url = url
self.method = method
self.headers = headers
self.cookies = cookies
self.data = da... | 305 | 0 | 27 |
2f0322c38d68b54d2529d694030c2dbd8557d296 | 1,476 | py | Python | astronomi/forms.py | hvarmis21/houseofapps | 185d654d4403bd6bcf6fda5e3c9f5ad6efde2976 | [
"MIT"
] | null | null | null | astronomi/forms.py | hvarmis21/houseofapps | 185d654d4403bd6bcf6fda5e3c9f5ad6efde2976 | [
"MIT"
] | 4 | 2021-03-18T23:31:45.000Z | 2021-09-22T18:32:21.000Z | astronomi/forms.py | hvarmis21/houseofapps | 185d654d4403bd6bcf6fda5e3c9f5ad6efde2976 | [
"MIT"
] | null | null | null | from django import forms
from django.contrib.auth import authenticate
from django.contrib.auth.models import User
| 39.891892 | 107 | 0.682927 | from django import forms
from django.contrib.auth import authenticate
from django.contrib.auth.models import User
class LoginForm(forms.Form):
username = forms.CharField(max_length=30, label="Kullanıcı Adı Giriniz")
password = forms.CharField(max_length=30, label="Parola Giriniz", widget=forms.PasswordInput)
... | 649 | 682 | 45 |
1e6a136f2dc13323d6a0e69530cf58722831ce88 | 5,126 | py | Python | bomeba0/utils/geometry.py | aloctavodia/bomeba0 | e212986d8ee60be1da91d63a7a889db14ec851c3 | [
"Apache-2.0"
] | null | null | null | bomeba0/utils/geometry.py | aloctavodia/bomeba0 | e212986d8ee60be1da91d63a7a889db14ec851c3 | [
"Apache-2.0"
] | 28 | 2017-06-01T15:46:33.000Z | 2021-07-01T18:28:36.000Z | bomeba0/utils/geometry.py | aloctavodia/bomeba0 | e212986d8ee60be1da91d63a7a889db14ec851c3 | [
"Apache-2.0"
] | 6 | 2017-09-30T13:26:08.000Z | 2022-02-13T10:01:18.000Z | """
A collection of common mathematical functions written for high performance with
the help of numpy and numba.
"""
import numpy as np
from math import sin as msin
from math import cos as mcos
from numba import jit
@jit
def dist(p, q):
"""
Compute distance between two 3D vectors
p: array
Cartesi... | 22.384279 | 98 | 0.555989 | """
A collection of common mathematical functions written for high performance with
the help of numpy and numba.
"""
import numpy as np
from math import sin as msin
from math import cos as mcos
from numba import jit
@jit
def dist(p, q):
"""
Compute distance between two 3D vectors
p: array
Cartesi... | 0 | 0 | 0 |
8529c865f5483ed29537d0df2a81c1f23dd2e2c2 | 2,919 | py | Python | examples/pymc/robertson_pymc.py | johnbachman/bayessb | 0c4c4d57218edea2786616077600f07ed821337e | [
"BSD-2-Clause"
] | 1 | 2015-04-02T21:04:39.000Z | 2015-04-02T21:04:39.000Z | examples/pymc/robertson_pymc.py | LoLab-VU/bayessb | 0a21da7383e78ab1d9666f4faa9a57893aa31397 | [
"BSD-2-Clause"
] | null | null | null | examples/pymc/robertson_pymc.py | LoLab-VU/bayessb | 0a21da7383e78ab1d9666f4faa9a57893aa31397 | [
"BSD-2-Clause"
] | null | null | null | from pymc import deterministic, stochastic, MvNormal, Normal, Lognormal, Uniform, \
MCMC
import pymc
import numpy as np
from pysb.examples.robertson import model
from pysb.integrate import odesolve, Solver
from matplotlib import pyplot as plt
# Generate the synthetic data
seed = 2
random = np.random.R... | 36.4875 | 83 | 0.67112 | from pymc import deterministic, stochastic, MvNormal, Normal, Lognormal, Uniform, \
MCMC
import pymc
import numpy as np
from pysb.examples.robertson import model
from pysb.integrate import odesolve, Solver
from matplotlib import pyplot as plt
# Generate the synthetic data
seed = 2
random = np.random.R... | 176 | 0 | 22 |
040444bcd04f4b65f9da89ffa08d0cc4db3aac35 | 2,818 | py | Python | xcparse/Xcode/PBX/PBXShellScriptBuildPhase.py | samdmarshall/xcparser | 4f78af149127325e60e3785b6e09d6dbfeedc799 | [
"BSD-3-Clause"
] | 59 | 2015-02-27T21:45:37.000Z | 2021-03-16T04:37:40.000Z | xcparse/Xcode/PBX/PBXShellScriptBuildPhase.py | samdmarshall/xcparser | 4f78af149127325e60e3785b6e09d6dbfeedc799 | [
"BSD-3-Clause"
] | 14 | 2015-03-02T18:53:51.000Z | 2016-07-19T23:20:23.000Z | xcparse/Xcode/PBX/PBXShellScriptBuildPhase.py | samdmarshall/xcparser | 4f78af149127325e60e3785b6e09d6dbfeedc799 | [
"BSD-3-Clause"
] | 8 | 2015-03-02T02:32:09.000Z | 2017-07-31T21:14:51.000Z | from .PBXResolver import *
from .PBX_Base_Phase import *
from .PBX_Constants import *
from ...Helpers import logging_helper
from ...Helpers import xcrun_helper
from ...Helpers import path_helper | 46.966667 | 144 | 0.66572 | from .PBXResolver import *
from .PBX_Base_Phase import *
from .PBX_Constants import *
from ...Helpers import logging_helper
from ...Helpers import xcrun_helper
from ...Helpers import path_helper
class PBXShellScriptBuildPhase(PBX_Base_Phase):
def __init__(self, lookup_func, dictionary, project, identifier):
... | 2,513 | 26 | 85 |
5a2c7ea488a79c7bc3ca61ffc7923ed29c059cad | 181 | py | Python | EstruturaSequencial/03.py | TheCarvalho/atividades-wikipython | 9163d5de40dbed0d73917f6257e64a651a77e085 | [
"Unlicense"
] | null | null | null | EstruturaSequencial/03.py | TheCarvalho/atividades-wikipython | 9163d5de40dbed0d73917f6257e64a651a77e085 | [
"Unlicense"
] | null | null | null | EstruturaSequencial/03.py | TheCarvalho/atividades-wikipython | 9163d5de40dbed0d73917f6257e64a651a77e085 | [
"Unlicense"
] | null | null | null | '''
3. Faça um Programa que peça dois números e imprima a soma.
'''
num1 = int(input('Insira o primeiro número: '))
num2 = int(input('Insira o segundo número: '))
print(num1+num2)
| 22.625 | 59 | 0.685083 | '''
3. Faça um Programa que peça dois números e imprima a soma.
'''
num1 = int(input('Insira o primeiro número: '))
num2 = int(input('Insira o segundo número: '))
print(num1+num2)
| 0 | 0 | 0 |
a287fa8fd1aa9340094407b9ff28c613564df1de | 8,205 | py | Python | utils.py | kristinakupf/revisiting-self-supervised | 1eac8a76c1b002d74b4b2983739d2e0280f5a09c | [
"Apache-2.0"
] | 360 | 2019-01-25T17:59:18.000Z | 2022-02-23T22:21:51.000Z | utils.py | kristinakupf/revisiting-self-supervised | 1eac8a76c1b002d74b4b2983739d2e0280f5a09c | [
"Apache-2.0"
] | 7 | 2019-02-05T15:09:31.000Z | 2021-11-13T21:08:08.000Z | utils.py | rickyHong/Puzzle-tensorflow-latest-repl | 86315b94bb8652eff37c5cd27459eae414d9143e | [
"Apache-2.0"
] | 44 | 2019-01-28T02:05:31.000Z | 2021-09-19T09:34:27.000Z | #!/usr/bin/python
#
# Copyright 2019 Google 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 ag... | 30.276753 | 80 | 0.686776 | #!/usr/bin/python
#
# Copyright 2019 Google 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 ag... | 350 | 0 | 48 |
ea960da13a754b1b5f178921b94293782175191a | 2,046 | py | Python | Taller_Estructuras_de _Control_Selectivas/Ejercicio_15.py | Mariajosedibo19/Talleres_de_Algoritmos | db8f1eecc345be1877d9d7a62a3fa8cf3af2df7d | [
"MIT"
] | null | null | null | Taller_Estructuras_de _Control_Selectivas/Ejercicio_15.py | Mariajosedibo19/Talleres_de_Algoritmos | db8f1eecc345be1877d9d7a62a3fa8cf3af2df7d | [
"MIT"
] | null | null | null | Taller_Estructuras_de _Control_Selectivas/Ejercicio_15.py | Mariajosedibo19/Talleres_de_Algoritmos | db8f1eecc345be1877d9d7a62a3fa8cf3af2df7d | [
"MIT"
] | null | null | null | """
Datos de entrada
edad del paciente = edad = int
sexo del paciente = sexo_paciente = int
Datos de salida
Resultado positivo o negativo acerca de si el paciente tiene anemia = resultado = str
"""
# Entradas
edad_paciente=int(input("Inserte la edad del paciente en su equivalente de años a meses "))
sexo_paciente=s... | 39.346154 | 153 | 0.747312 | """
Datos de entrada
edad del paciente = edad = int
sexo del paciente = sexo_paciente = int
Datos de salida
Resultado positivo o negativo acerca de si el paciente tiene anemia = resultado = str
"""
# Entradas
edad_paciente=int(input("Inserte la edad del paciente en su equivalente de años a meses "))
sexo_paciente=s... | 0 | 0 | 0 |
1aab9f57469dfa09590632b595dd434c94b550b5 | 4,350 | py | Python | core/controllers/image.py | zihbot/vision-line | 3718a51da7c3f5219da12a9a26cb7ebacafe9a2a | [
"MIT"
] | null | null | null | core/controllers/image.py | zihbot/vision-line | 3718a51da7c3f5219da12a9a26cb7ebacafe9a2a | [
"MIT"
] | null | null | null | core/controllers/image.py | zihbot/vision-line | 3718a51da7c3f5219da12a9a26cb7ebacafe9a2a | [
"MIT"
] | null | null | null | from collections import namedtuple
from repositories.lines import LineORM
import cv2
import logging
from function_factory import FunctionFactory
from api import models
import time
logger = logging.getLogger(__name__)
_Line=namedtuple('_Line', 'name last_change nodes')
lines: list[_Line] = [_Line(name='asd', last_chan... | 30.208333 | 81 | 0.674253 | from collections import namedtuple
from repositories.lines import LineORM
import cv2
import logging
from function_factory import FunctionFactory
from api import models
import time
logger = logging.getLogger(__name__)
_Line=namedtuple('_Line', 'name last_change nodes')
lines: list[_Line] = [_Line(name='asd', last_chan... | 3,570 | 0 | 437 |
7decaa503e64ac854bcd7f073e2475e1fe4b741a | 159 | py | Python | config/config2D/scene_config/scene_jit2D.py | Jack12xl/a-toy-fluid-engine | 45ce4007ce6e804dcfdee8da307e131c9c3e7c7d | [
"MIT"
] | 21 | 2020-09-17T10:51:55.000Z | 2022-03-15T20:27:00.000Z | config/config2D/scene_config/scene_jit2D.py | Jack12xl/a-toy-fluid-engine | 45ce4007ce6e804dcfdee8da307e131c9c3e7c7d | [
"MIT"
] | 8 | 2020-09-18T08:52:34.000Z | 2021-02-07T09:27:49.000Z | config/config2D/scene_config/scene_jit2D.py | Jack12xl/myFluid | 45ce4007ce6e804dcfdee8da307e131c9c3e7c7d | [
"MIT"
] | 1 | 2020-09-20T11:10:35.000Z | 2020-09-20T11:10:35.000Z | import taichi as ti
import numpy as np
m_fluid_color = ti.Vector(list(np.random.rand(3) * 0.7 + 0.3))
m_dye_decay = 0.99
m_f_gravity = ti.Vector([0.0, -9.8]) | 22.714286 | 62 | 0.691824 | import taichi as ti
import numpy as np
m_fluid_color = ti.Vector(list(np.random.rand(3) * 0.7 + 0.3))
m_dye_decay = 0.99
m_f_gravity = ti.Vector([0.0, -9.8]) | 0 | 0 | 0 |
ad17f082f6fc9582bc3f0e858d696cbe52aa5dc5 | 11,427 | py | Python | experiment.py | ClaartjeBarkhof/PyTorch-VAE | a1ac49015c306b1cfc0d4d797669b17044f0a1eb | [
"Apache-2.0"
] | null | null | null | experiment.py | ClaartjeBarkhof/PyTorch-VAE | a1ac49015c306b1cfc0d4d797669b17044f0a1eb | [
"Apache-2.0"
] | null | null | null | experiment.py | ClaartjeBarkhof/PyTorch-VAE | a1ac49015c306b1cfc0d4d797669b17044f0a1eb | [
"Apache-2.0"
] | null | null | null | import os
import math
import torch
from torch import optim
from models import BaseVAE
from models.types_ import *
from utils import data_loader
import pytorch_lightning as pl
from torchvision import transforms
import torchvision.utils as vutils
from torchvision.datasets import CelebA
from torch.utils.data import DataLo... | 41.857143 | 165 | 0.505032 | import os
import math
import torch
from torch import optim
from models import BaseVAE
from models.types_ import *
from utils import data_loader
import pytorch_lightning as pl
from torchvision import transforms
import torchvision.utils as vutils
from torchvision.datasets import CelebA
from torch.utils.data import DataLo... | 9,386 | 18 | 212 |
f2402356296748d055dd98cf85fde7497edb18e5 | 51,002 | py | Python | voting-simulator/district.py | S8A/voting-simulator | c39a57b096472348e7be507820d42d4970b03276 | [
"MIT"
] | null | null | null | voting-simulator/district.py | S8A/voting-simulator | c39a57b096472348e7be507820d42d4970b03276 | [
"MIT"
] | null | null | null | voting-simulator/district.py | S8A/voting-simulator | c39a57b096472348e7be507820d42d4970b03276 | [
"MIT"
] | null | null | null | # coding=utf-8
"""A district is the voter population of a constituency or geographical area."""
import itertools as itls
import math as m
import random as rd
from .utils import generate_voter_groups, sort_dict_desc, make_table
from .candidate import Candidate
from .party import Party
from .voter_group import VoterGro... | 44.85664 | 81 | 0.598977 | # coding=utf-8
"""A district is the voter population of a constituency or geographical area."""
import itertools as itls
import math as m
import random as rd
from .utils import generate_voter_groups, sort_dict_desc, make_table
from .candidate import Candidate
from .party import Party
from .voter_group import VoterGro... | 0 | 50,550 | 92 |
e5ad78c5dfb9a7cf808d457ea96e8cdd1767fd83 | 7,073 | py | Python | plugins/drupalgeddonrce2.py | fakegit/google_explorer | 0b21b57ef6fb7b9182fb13d00508164d007b2d19 | [
"MIT"
] | 155 | 2016-09-11T00:43:07.000Z | 2018-05-02T06:36:43.000Z | plugins/drupalgeddonrce2.py | fakegit/google_explorer | 0b21b57ef6fb7b9182fb13d00508164d007b2d19 | [
"MIT"
] | 19 | 2016-09-12T14:39:17.000Z | 2018-04-24T00:47:01.000Z | plugins/drupalgeddonrce2.py | fakegit/google_explorer | 0b21b57ef6fb7b9182fb13d00508164d007b2d19 | [
"MIT"
] | 85 | 2016-09-10T20:01:48.000Z | 2018-05-16T15:01:28.000Z | from queue import Queue
from urllib.parse import urlparse
from threading import Thread
import requests
import threading
import re
import os
from requests import get
from requests import post
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureReques... | 46.228758 | 139 | 0.405203 | from queue import Queue
from urllib.parse import urlparse
from threading import Thread
import requests
import threading
import re
import os
from requests import get
from requests import post
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureReques... | 7,243 | 161 | 46 |
37b0f78d2a093d2a9f348fbb7a08d7fc6097a6ad | 636 | py | Python | portfoliofinder/contributions/scheduled_contributions.py | asteffey/portfolio-finder | a0001975ce28d2b92552810f18715c1351fd1422 | [
"MIT"
] | null | null | null | portfoliofinder/contributions/scheduled_contributions.py | asteffey/portfolio-finder | a0001975ce28d2b92552810f18715c1351fd1422 | [
"MIT"
] | 9 | 2018-12-18T00:15:41.000Z | 2020-06-20T17:12:04.000Z | portfoliofinder/contributions/scheduled_contributions.py | apsteffey/portfolio-finder | fbb596a8bc908f20826d9592c94db3fc553b378b | [
"MIT"
] | 1 | 2020-10-20T08:40:57.000Z | 2020-10-20T08:40:57.000Z | from typing import Dict
from .contributions import Contributions
class ScheduledContributions(Contributions): # pylint: disable=too-few-public-methods
"""Contributions which occur at specific years in the life of the portfolio.
:param scheduled_contributions: contributions by year relative to inception of ... | 35.333333 | 92 | 0.756289 | from typing import Dict
from .contributions import Contributions
class ScheduledContributions(Contributions): # pylint: disable=too-few-public-methods
"""Contributions which occur at specific years in the life of the portfolio.
:param scheduled_contributions: contributions by year relative to inception of ... | 245 | 0 | 53 |
c11715dba5441ac66af6f1c555d1d86364de8536 | 939 | py | Python | src/sgk/celeryapp.py | mava-ar/sgk | cb8b3abf243b4614e6a45e4e2db5bb7cce94dee4 | [
"Apache-2.0"
] | null | null | null | src/sgk/celeryapp.py | mava-ar/sgk | cb8b3abf243b4614e6a45e4e2db5bb7cce94dee4 | [
"Apache-2.0"
] | 32 | 2016-05-09T19:37:08.000Z | 2022-01-13T01:00:52.000Z | src/sgk/celeryapp.py | mava-ar/sgk | cb8b3abf243b4614e6a45e4e2db5bb7cce94dee4 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
import os
from tenant_schemas_celery.app import CeleryApp
from django.conf import settings
from celery.schedules import crontab
# set the default Django settings module for the 'celery' program.
if os.path.isfile(os.path.join(os.path.abspath('.'), 'sgk', 'settings', 'local.py'))... | 32.37931 | 85 | 0.741214 | from __future__ import absolute_import
import os
from tenant_schemas_celery.app import CeleryApp
from django.conf import settings
from celery.schedules import crontab
# set the default Django settings module for the 'celery' program.
if os.path.isfile(os.path.join(os.path.abspath('.'), 'sgk', 'settings', 'local.py'))... | 0 | 0 | 0 |
f9018d542882a2b4348b7736cc1deaa344619663 | 9,971 | py | Python | hybridbackend/tensorflow/distribute/nccl.py | fuhailin/HybridBackend | 113383c5870b7180fa67c194208a27f76bdbf3f0 | [
"Apache-2.0"
] | 38 | 2021-12-01T06:54:36.000Z | 2022-03-23T11:23:21.000Z | hybridbackend/tensorflow/distribute/nccl.py | fuhailin/HybridBackend | 113383c5870b7180fa67c194208a27f76bdbf3f0 | [
"Apache-2.0"
] | 15 | 2021-12-01T09:15:26.000Z | 2022-03-28T02:49:21.000Z | hybridbackend/tensorflow/distribute/nccl.py | fuhailin/HybridBackend | 113383c5870b7180fa67c194208a27f76bdbf3f0 | [
"Apache-2.0"
] | 8 | 2021-12-02T01:16:14.000Z | 2022-01-28T04:51:16.000Z | # Copyright 2021 Alibaba Group Holding Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | 31.454259 | 79 | 0.726407 | # Copyright 2021 Alibaba Group Holding Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | 2,788 | 0 | 449 |
e109bc196fb1f2d1fb3f57f50d8c167eee60e087 | 1,334 | py | Python | cielo/models.py | CharlesTenorio/strive_api | 27650f36df56d9ea3299bafa9e077f58ce68368c | [
"MIT"
] | null | null | null | cielo/models.py | CharlesTenorio/strive_api | 27650f36df56d9ea3299bafa9e077f58ce68368c | [
"MIT"
] | 7 | 2019-08-22T23:45:07.000Z | 2021-06-09T18:17:44.000Z | cielo/models.py | CharlesTenorio/strive_api | 27650f36df56d9ea3299bafa9e077f58ce68368c | [
"MIT"
] | null | null | null | from django.db import models
BANDEIRA_CHOICES = (
('Visa', 'Visa'),
('Master', 'Master'),
('Hipercard', 'Hipercard'),
('Hiper', 'Hiper'),
('American Express', 'American Express'),
('Elo', 'Elo'),
('Diners Club', 'Diners Club'),
('American Express', 'Ameri... | 40.424242 | 89 | 0.663418 | from django.db import models
BANDEIRA_CHOICES = (
('Visa', 'Visa'),
('Master', 'Master'),
('Hipercard', 'Hipercard'),
('Hiper', 'Hiper'),
('American Express', 'American Express'),
('Elo', 'Elo'),
('Diners Club', 'Diners Club'),
('American Express', 'Ameri... | 0 | 885 | 23 |