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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
36b5baa6bcd6f0e6d530726507232ed96303b6b6 | 2,424 | py | Python | Examples/2017 code/GetDatasetfromFiles.py | VickyBize/predicting-depression-with-nn | 7261033e8e89944292082d7788b1b05929edfe28 | [
"MIT"
] | null | null | null | Examples/2017 code/GetDatasetfromFiles.py | VickyBize/predicting-depression-with-nn | 7261033e8e89944292082d7788b1b05929edfe28 | [
"MIT"
] | null | null | null | Examples/2017 code/GetDatasetfromFiles.py | VickyBize/predicting-depression-with-nn | 7261033e8e89944292082d7788b1b05929edfe28 | [
"MIT"
] | null | null | null | import os
import re
import sys
import numpy as np
from collections import Counter
import collections
import h5py
import pandas as pd
pathname = os.path.abspath('C:\\Users\\Vicky\\Desktop\\Courses\\Avi\\erisk collections_2017_2018\\erisk collections\\2017\\2test')
os.chdir(pathname)
#############Read Outpu... | 31.894737 | 131 | 0.492574 | import os
import re
import sys
import numpy as np
from collections import Counter
import collections
import h5py
import pandas as pd
pathname = os.path.abspath('C:\\Users\\Vicky\\Desktop\\Courses\\Avi\\erisk collections_2017_2018\\erisk collections\\2017\\2test')
os.chdir(pathname)
#############Read Outpu... | 0 | 0 | 0 |
e431ba97f53ff9a52b67b4a4e5466ab127b70b94 | 619 | py | Python | two_b.py | pkpatricia/python34 | 5ee4f864444b8835f8ee6cf416bc9fd1d969595b | [
"bzip2-1.0.6"
] | null | null | null | two_b.py | pkpatricia/python34 | 5ee4f864444b8835f8ee6cf416bc9fd1d969595b | [
"bzip2-1.0.6"
] | null | null | null | two_b.py | pkpatricia/python34 | 5ee4f864444b8835f8ee6cf416bc9fd1d969595b | [
"bzip2-1.0.6"
] | null | null | null | color =["red", "green", "purple", "orange", "blue", "yellow"]
pick = input("What is your favorite color ? ")
if pick in color:
# Storing the rank of the color picked
rank = color.index(pick) + 1
# Check if the color is in your list
if rank == 1:
print("That is my favorite color.")... | 22.107143 | 61 | 0.560582 | color =["red", "green", "purple", "orange", "blue", "yellow"]
pick = input("What is your favorite color ? ")
if pick in color:
# Storing the rank of the color picked
rank = color.index(pick) + 1
# Check if the color is in your list
if rank == 1:
print("That is my favorite color.")... | 0 | 0 | 0 |
138129d74b8b0f40430669bc72780639a642852c | 913 | py | Python | crds/tests/profile_pickling.py | nden/crds | b72f14cf07531ca70b61daa6b58e762e5899afa4 | [
"BSD-3-Clause"
] | null | null | null | crds/tests/profile_pickling.py | nden/crds | b72f14cf07531ca70b61daa6b58e762e5899afa4 | [
"BSD-3-Clause"
] | null | null | null | crds/tests/profile_pickling.py | nden/crds | b72f14cf07531ca70b61daa6b58e762e5899afa4 | [
"BSD-3-Clause"
] | null | null | null | """This module is used to profile getrecommendations() and bestreds.BestrefsScript()."""
from crds.python23 import pickle
import crds
from crds.tests.test_config import run_and_profile
from crds import data_file
if __name__ == "__main__":
run_and_profile("HST pickle/unpickle", "pickle_unpickle('hst.pmap', 'dat... | 30.433333 | 112 | 0.674699 | """This module is used to profile getrecommendations() and bestreds.BestrefsScript()."""
from crds.python23 import pickle
import crds
from crds.tests.test_config import run_and_profile
from crds import data_file
def pickle_unpickle(context, data):
p = crds.get_cached_mapping(context)
p.get_required_parkeys(... | 534 | 0 | 23 |
3dc7b538e16ff53c625f59a59f95f1ba42f7458d | 8,507 | py | Python | main.py | cypri99/Off-White-AccGen | e9956265f71ed43b7d14799296143402afd97107 | [
"MIT"
] | 2 | 2020-02-15T02:27:05.000Z | 2020-04-19T01:15:37.000Z | main.py | cypri99/Off-White-AccGen | e9956265f71ed43b7d14799296143402afd97107 | [
"MIT"
] | 1 | 2020-02-15T04:43:05.000Z | 2020-02-15T05:16:03.000Z | main.py | cypri99/Off-White-AccGen | e9956265f71ed43b7d14799296143402afd97107 | [
"MIT"
] | 2 | 2020-02-15T03:50:37.000Z | 2020-05-17T22:00:54.000Z | import requests
from colorama import Fore, init
from threading import Thread
import random, time, names, string, json, os
from threading import Lock
from random import choice
s_print_lock = Lock()
def s_print(*a, **b):
"""Thread safe print function"""
with s_print_lock:
print(*a, **b)
def get_prox... | 37.311404 | 255 | 0.543787 | import requests
from colorama import Fore, init
from threading import Thread
import random, time, names, string, json, os
from threading import Lock
from random import choice
s_print_lock = Lock()
def s_print(*a, **b):
"""Thread safe print function"""
with s_print_lock:
print(*a, **b)
def log(tag,... | 5,348 | 0 | 92 |
09c29307b8a660f980d0a78500b3685e3278ae6c | 1,333 | py | Python | coding_interviews/leetcode/easy/count_students/count_students.py | LeandroTk/Algorithms | 569ed68eba3eeff902f8078992099c28ce4d7cd6 | [
"MIT"
] | 205 | 2018-12-01T17:49:49.000Z | 2021-12-22T07:02:27.000Z | coding_interviews/leetcode/easy/count_students/count_students.py | LeandroTk/Algorithms | 569ed68eba3eeff902f8078992099c28ce4d7cd6 | [
"MIT"
] | 2 | 2020-01-01T16:34:29.000Z | 2020-04-26T19:11:13.000Z | coding_interviews/leetcode/easy/count_students/count_students.py | LeandroTk/Algorithms | 569ed68eba3eeff902f8078992099c28ce4d7cd6 | [
"MIT"
] | 50 | 2018-11-28T20:51:36.000Z | 2021-11-29T04:08:25.000Z | # https://leetcode.com/problems/number-of-students-unable-to-eat-lunch
| 25.634615 | 132 | 0.548387 | # https://leetcode.com/problems/number-of-students-unable-to-eat-lunch
def is_empty(arr):
return len(arr) == 0
def count_students(students, sandwiches):
preferred_circles = 0
preferred_squares = 0
for student in students:
if student:
preferred_squares += 1
else:
... | 1,188 | 0 | 73 |
44c2bc408c2a5287fbf1d032d22a1fdf9c32764f | 3,477 | py | Python | tests/layer_tests/tensorflow_tests/test_tf_ScatterND.py | pfinashx/openvino | 1d417e888b508415510fb0a92e4a9264cf8bdef7 | [
"Apache-2.0"
] | 1 | 2022-02-26T17:33:44.000Z | 2022-02-26T17:33:44.000Z | tests/layer_tests/tensorflow_tests/test_tf_ScatterND.py | pfinashx/openvino | 1d417e888b508415510fb0a92e4a9264cf8bdef7 | [
"Apache-2.0"
] | 18 | 2022-01-21T08:42:58.000Z | 2022-03-28T13:21:31.000Z | tests/layer_tests/tensorflow_tests/test_tf_ScatterND.py | pfinashx/openvino | 1d417e888b508415510fb0a92e4a9264cf8bdef7 | [
"Apache-2.0"
] | null | null | null | # Copyright (C) 2018-2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
import pytest
from openvino.tools.mo.front.common.partial_infer.utils import int64_array, float32_array
from unit_tests.utils.graph import build_graph, regular_op_with_shaped_data, connect, \
shaped_data, connect_f... | 47.630137 | 113 | 0.572332 | # Copyright (C) 2018-2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
import pytest
from openvino.tools.mo.front.common.partial_infer.utils import int64_array, float32_array
from unit_tests.utils.graph import build_graph, regular_op_with_shaped_data, connect, \
shaped_data, connect_f... | 1,300 | 1,662 | 23 |
91e21c4e14706dc08066abf07ddc50830bdd919e | 342 | py | Python | python/pygecko/fake/__init__.py | MomsFriendlyRobotCompany/gecko | f340381113bdb423a39d47aaee61e013bb9e002a | [
"MIT"
] | 3 | 2019-06-13T07:52:12.000Z | 2020-07-05T13:28:43.000Z | python/pygecko/fake/__init__.py | MomsFriendlyRobotCompany/gecko | f340381113bdb423a39d47aaee61e013bb9e002a | [
"MIT"
] | 23 | 2017-07-07T01:29:33.000Z | 2018-11-23T18:41:08.000Z | python/pygecko/fake/__init__.py | MomsFriendlyRobotCompany/gecko | f340381113bdb423a39d47aaee61e013bb9e002a | [
"MIT"
] | null | null | null | ##############################################
# The MIT License (MIT)
# Copyright (c) 2014 Kevin Walchko
# see LICENSE for full details
##############################################
# this directory contains things for testing and fake sources
# import pygecko.test.fake_camera as cv2
# from pygecko.test.process impo... | 34.2 | 61 | 0.573099 | ##############################################
# The MIT License (MIT)
# Copyright (c) 2014 Kevin Walchko
# see LICENSE for full details
##############################################
# this directory contains things for testing and fake sources
# import pygecko.test.fake_camera as cv2
# from pygecko.test.process impo... | 0 | 0 | 0 |
f49add4aa7228f69d7edee216cdb417c7cecb848 | 6,473 | py | Python | AtomPos/find_peaks.py | rhambach/TEMimage | 436c9d8912db481185d09d9d70c4827c87cbd8a5 | [
"BSD-3-Clause"
] | 2 | 2020-10-05T06:12:43.000Z | 2022-03-15T04:15:16.000Z | AtomPos/find_peaks.py | rhambach/TEMimage | 436c9d8912db481185d09d9d70c4827c87cbd8a5 | [
"BSD-3-Clause"
] | null | null | null | AtomPos/find_peaks.py | rhambach/TEMimage | 436c9d8912db481185d09d9d70c4827c87cbd8a5 | [
"BSD-3-Clause"
] | null | null | null | """
Interactive fitting of peaks in noisy 2D images.
Copyright (c) 2013, rhambach.
This file is part of the TEMimage package and released
under the MIT-Licence. See LICENCE file for details.
"""
import numpy as np
import scipy.ndimage as ndimage
import scipy.ndimage.filters as filters
import matplotlib.py... | 36.570621 | 94 | 0.630002 | """
Interactive fitting of peaks in noisy 2D images.
Copyright (c) 2013, rhambach.
This file is part of the TEMimage package and released
under the MIT-Licence. See LICENCE file for details.
"""
import numpy as np
import scipy.ndimage as ndimage
import scipy.ndimage.filters as filters
import matplotlib.py... | 1,907 | 0 | 102 |
67db5d120956c48d3d49e18bebfa1d66093df016 | 2,802 | gyp | Python | CSipSimple/jni/webrtc/sources/common_video/common_video.gyp | dmfr/CSipSimple-mirror | f2f2b8efcb739090a45b205690a0fb5b74bce343 | [
"OpenSSL",
"Unlicense"
] | 4 | 2016-09-29T00:04:31.000Z | 2021-12-02T08:39:51.000Z | CSipSimple/jni/webrtc/sources/common_video/common_video.gyp | dmfr/CSipSimple-mirror | f2f2b8efcb739090a45b205690a0fb5b74bce343 | [
"OpenSSL",
"Unlicense"
] | null | null | null | CSipSimple/jni/webrtc/sources/common_video/common_video.gyp | dmfr/CSipSimple-mirror | f2f2b8efcb739090a45b205690a0fb5b74bce343 | [
"OpenSSL",
"Unlicense"
] | 1 | 2015-01-20T01:38:20.000Z | 2015-01-20T01:38:20.000Z | # Copyright (c) 2012 The WebRTC project authors. All Rights Reserved.
#
# Use of this source code is governed by a BSD-style license
# that can be found in the LICENSE file in the root of the source
# tree. An additional intellectual property rights grant can be found
# in the file PATENTS. All contributing project au... | 30.791209 | 89 | 0.546395 | # Copyright (c) 2012 The WebRTC project authors. All Rights Reserved.
#
# Use of this source code is governed by a BSD-style license
# that can be found in the LICENSE file in the root of the source
# tree. An additional intellectual property rights grant can be found
# in the file PATENTS. All contributing project au... | 0 | 0 | 0 |
32f476e0d42b0dd90a1a723fb29cc27b1262e1fb | 12,361 | py | Python | src/ontology/imports/langual_subsets/adjust_siren.py | OnToologyUser/foodon | 5213dd66c30b62c3bc3538bc3d21db5fba8998c7 | [
"CC-BY-4.0"
] | 121 | 2016-05-31T22:15:02.000Z | 2022-03-30T09:20:51.000Z | src/ontology/imports/langual_subsets/adjust_siren.py | OnToologyUser/foodon | 5213dd66c30b62c3bc3538bc3d21db5fba8998c7 | [
"CC-BY-4.0"
] | 172 | 2016-01-25T09:00:20.000Z | 2022-03-31T13:22:36.000Z | src/ontology/imports/langual_subsets/adjust_siren.py | OnToologyUser/foodon | 5213dd66c30b62c3bc3538bc3d21db5fba8998c7 | [
"CC-BY-4.0"
] | 31 | 2016-03-17T09:58:02.000Z | 2022-02-25T15:07:31.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
import re
foodon_lookup = {}
siren_lookup = {}
nameless = '03301032 03301034 03301067 03301068 03301076 03301078 03301107 03301131 03301149 03301152 03301160 03301163 03301168 03301173 03301183 03301192 03301199 03301206 03301212 03301213 03301221 03301229 03301253 03301287 0... | 209.508475 | 10,445 | 0.845805 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import re
foodon_lookup = {}
siren_lookup = {}
nameless = '03301032 03301034 03301067 03301068 03301076 03301078 03301107 03301131 03301149 03301152 03301160 03301163 03301168 03301173 03301183 03301192 03301199 03301206 03301212 03301213 03301221 03301229 03301253 03301287 0... | 0 | 0 | 0 |
5676dd80957d6e933463fa91265afbf0f6f96e70 | 1,277 | py | Python | problems/047.py | 6112/project-euler | b7478d14aa6defe347ab12178c7ffe90efdcb867 | [
"MIT"
] | null | null | null | problems/047.py | 6112/project-euler | b7478d14aa6defe347ab12178c7ffe90efdcb867 | [
"MIT"
] | null | null | null | problems/047.py | 6112/project-euler | b7478d14aa6defe347ab12178c7ffe90efdcb867 | [
"MIT"
] | null | null | null | #encoding=utf-8
## SOLVED 2014/04/10
## 134043
# The first two consecutive numbers to have two distinct prime factors are:
# 14 = 2 × 7
# 15 = 3 × 5
# The first three consecutive numbers to have three distinct prime factors are:
# 644 = 2² × 7 × 23
# 645 = 3 × 5 × 43
# 646 = 2 × 17 × 19.
# Find the first four cons... | 27.170213 | 79 | 0.622553 | #encoding=utf-8
## SOLVED 2014/04/10
## 134043
# The first two consecutive numbers to have two distinct prime factors are:
# 14 = 2 × 7
# 15 = 3 × 5
# The first three consecutive numbers to have three distinct prime factors are:
# 644 = 2² × 7 × 23
# 645 = 3 × 5 × 43
# 646 = 2 × 17 × 19.
# Find the first four cons... | 649 | 0 | 23 |
40e2e30c984b7232475acc2d1822a04974af9399 | 1,150 | py | Python | 010_cons.py | Ananyapam7/Rosalind | 3117a4a73989fd9c9faf011b345d5805c9dee0bf | [
"MIT"
] | 1 | 2020-07-28T16:53:32.000Z | 2020-07-28T16:53:32.000Z | 010_cons.py | Ananyapam7/Rosalind | 3117a4a73989fd9c9faf011b345d5805c9dee0bf | [
"MIT"
] | null | null | null | 010_cons.py | Ananyapam7/Rosalind | 3117a4a73989fd9c9faf011b345d5805c9dee0bf | [
"MIT"
] | null | null | null | #!/usr/bin/env python
'''
A solution to a ROSALIND bioinformatics problem.
Problem Title: Consensus and Profile
Rosalind ID: SUBS
Rosalind #: 009
URL: http://rosalind.info/problems/subs/
'''
from numpy import zeros
from scripts import ReadFASTA
# Data is in FASTA form
dna_list = ReadFASTA('data/rosalind_cons.txt')
... | 26.136364 | 54 | 0.633043 | #!/usr/bin/env python
'''
A solution to a ROSALIND bioinformatics problem.
Problem Title: Consensus and Profile
Rosalind ID: SUBS
Rosalind #: 009
URL: http://rosalind.info/problems/subs/
'''
from numpy import zeros
from scripts import ReadFASTA
# Data is in FASTA form
dna_list = ReadFASTA('data/rosalind_cons.txt')
... | 0 | 0 | 0 |
663701b8a32d5455ba2e307ffd2012741310465a | 18,886 | py | Python | make_CF_RAPID_output.py | CI-WATER/erfp_data_process_ubuntu_aws | 73ebef7d983900214890ba9f973f5e61cf386cf9 | [
"MIT"
] | 1 | 2015-09-06T01:58:45.000Z | 2015-09-06T01:58:45.000Z | make_CF_RAPID_output.py | CI-WATER/erfp_data_process_ubuntu_aws | 73ebef7d983900214890ba9f973f5e61cf386cf9 | [
"MIT"
] | null | null | null | make_CF_RAPID_output.py | CI-WATER/erfp_data_process_ubuntu_aws | 73ebef7d983900214890ba9f973f5e61cf386cf9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Copies data from RAPID netCDF output to a CF-compliant netCDF file.
Remarks:
A new netCDF file is created with data from RAPID [1] simulation model
output. The result follows CF conventions [2] with additional metadata
prescribed by the NODC timeSeries Orthogonal template [3]... | 38.860082 | 145 | 0.592873 | #!/usr/bin/env python
"""Copies data from RAPID netCDF output to a CF-compliant netCDF file.
Remarks:
A new netCDF file is created with data from RAPID [1] simulation model
output. The result follows CF conventions [2] with additional metadata
prescribed by the NODC timeSeries Orthogonal template [3]... | 138 | 0 | 25 |
bfbadd3fb009fb3bf924dadff61855cd24d40f97 | 2,330 | py | Python | beep/tests/test_splice.py | JosephMontoya-TRI/BEEP | a0b880997403c8ef528a4986654bab5f8197b842 | [
"Apache-2.0"
] | null | null | null | beep/tests/test_splice.py | JosephMontoya-TRI/BEEP | a0b880997403c8ef528a4986654bab5f8197b842 | [
"Apache-2.0"
] | 123 | 2021-03-22T07:31:09.000Z | 2022-03-28T23:06:32.000Z | beep/tests/test_splice.py | JosephMontoya-TRI/BEEP | a0b880997403c8ef528a4986654bab5f8197b842 | [
"Apache-2.0"
] | null | null | null | # Copyright [2020] [Toyota Research Institute]
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 43.148148 | 87 | 0.722747 | # Copyright [2020] [Toyota Research Institute]
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 1,402 | 15 | 103 |
f07d00c018134ce7b4554425cc07a4a6ea40c85c | 505 | py | Python | oo/pessoa.py | valmeida90/pythonbirds | 305c1efbf3a9988c3ab552ad721923a48fc4944a | [
"MIT"
] | null | null | null | oo/pessoa.py | valmeida90/pythonbirds | 305c1efbf3a9988c3ab552ad721923a48fc4944a | [
"MIT"
] | null | null | null | oo/pessoa.py | valmeida90/pythonbirds | 305c1efbf3a9988c3ab552ad721923a48fc4944a | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
victor = Pessoa(nome='Victor')
vinicius = Pessoa(victor,nome='Vinicius')
print(Pessoa.cumprimentar(vinicius))
print(id(vinicius))
print(vinicius.nome)
print(vinicius.idade)
for filho in vinicius.filhos:
print(filho.nome)
| 22.954545 | 53 | 0.631683 | class Pessoa:
def __init__(self, *filhos, nome=None, idade=35):
self.idade = idade
self.nome = nome
self.filhos = list(filhos)
def cumprimentar(self):
return f'Olá {id(self)}'
if __name__ == '__main__':
victor = Pessoa(nome='Victor')
vinicius = Pessoa(victor,nome='Vin... | 151 | -8 | 75 |
ecf8a9906dc459b62251a9a6b8d74ada32bd7948 | 857 | py | Python | examples/panel.py | ronpandolfi/typhos | 2a92d895438d3b0fc41ad51dd5b7f783ca306cf1 | [
"BSD-3-Clause-LBNL"
] | null | null | null | examples/panel.py | ronpandolfi/typhos | 2a92d895438d3b0fc41ad51dd5b7f783ca306cf1 | [
"BSD-3-Clause-LBNL"
] | null | null | null | examples/panel.py | ronpandolfi/typhos | 2a92d895438d3b0fc41ad51dd5b7f783ca306cf1 | [
"BSD-3-Clause-LBNL"
] | null | null | null | """Example to create a Panel of Ophyd Signals from an object"""
import sys
import numpy as np
from qtpy.QtWidgets import QApplication
import typhos
from ophyd import Component as Cpt
from ophyd import Device, Signal
from typhos.utils import SignalRO
class Sample(Device):
"""Simulated Device"""
readback = Cp... | 25.205882 | 72 | 0.704784 | """Example to create a Panel of Ophyd Signals from an object"""
import sys
import numpy as np
from qtpy.QtWidgets import QApplication
import typhos
from ophyd import Component as Cpt
from ophyd import Device, Signal
from typhos.utils import SignalRO
class Sample(Device):
"""Simulated Device"""
readback = Cp... | 0 | 0 | 0 |
092091befa54823369ea669470b3ce9ea5f67f85 | 6,009 | py | Python | src/decomposition.py | jjonhwa/Optuna_and_Knowledge-Distllation | 166641fcdffc5b1f6e017ef917a3b0ff5ff516d6 | [
"MIT"
] | null | null | null | src/decomposition.py | jjonhwa/Optuna_and_Knowledge-Distllation | 166641fcdffc5b1f6e017ef917a3b0ff5ff516d6 | [
"MIT"
] | null | null | null | src/decomposition.py | jjonhwa/Optuna_and_Knowledge-Distllation | 166641fcdffc5b1f6e017ef917a3b0ff5ff516d6 | [
"MIT"
] | 1 | 2021-12-22T06:38:34.000Z | 2021-12-22T06:38:34.000Z | import tensorly as tl
from tensorly.decomposition import parafac, partial_tucker
import numpy as np
import torch
import torch.nn as nn
from typing import *
def cp_decomposition_conv_layer(layer, rank):
# rank = max(layer.weight.data.numpy().shape) // 3
"""Gets a conv layer and a target rank,
returns a nn.... | 31.793651 | 100 | 0.633217 | import tensorly as tl
from tensorly.decomposition import parafac, partial_tucker
import numpy as np
import torch
import torch.nn as nn
from typing import *
def cp_decomposition_conv_layer(layer, rank):
# rank = max(layer.weight.data.numpy().shape) // 3
"""Gets a conv layer and a target rank,
returns a nn.... | 1,552 | 0 | 46 |
81d193fa7ba1fae44c78fce0674e30d3a87651ff | 4,103 | py | Python | voice_rec/speech2text.py | binghaohuang1/object-detective-visual-tracking | e61680a771dc13a006113d96965e59ff1bc3ce6d | [
"MIT"
] | null | null | null | voice_rec/speech2text.py | binghaohuang1/object-detective-visual-tracking | e61680a771dc13a006113d96965e59ff1bc3ce6d | [
"MIT"
] | null | null | null | voice_rec/speech2text.py | binghaohuang1/object-detective-visual-tracking | e61680a771dc13a006113d96965e59ff1bc3ce6d | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
import wave
import requests
import time
import base64
import numpy as np
from pyaudio import PyAudio, paInt16
import time
from playsound import playsound
import os
import sys
framerate = 16000 #
num_samples = 2000
channels = 1
sampwidth = 2 #
FILEPATH = 'speech.wav'
base_url = "https://opena... | 26.642857 | 114 | 0.558616 | # -*- coding:utf-8 -*-
import wave
import requests
import time
import base64
import numpy as np
from pyaudio import PyAudio, paInt16
import time
from playsound import playsound
import os
import sys
framerate = 16000 #
num_samples = 2000
channels = 1
sampwidth = 2 #
FILEPATH = 'speech.wav'
base_url = "https://opena... | 3,221 | 0 | 138 |
b7eda93534e3e34ab718a9b46fc7957b48d53805 | 1,613 | py | Python | setup.py | heitorbaldo/pypdc | 442fb5ddf7c4dde05413803233812dd54d8d5a11 | [
"MIT"
] | 1 | 2021-11-28T02:44:55.000Z | 2021-11-28T02:44:55.000Z | setup.py | heitorbaldo/pypdc | 442fb5ddf7c4dde05413803233812dd54d8d5a11 | [
"MIT"
] | null | null | null | setup.py | heitorbaldo/pypdc | 442fb5ddf7c4dde05413803233812dd54d8d5a11 | [
"MIT"
] | null | null | null | from glob import glob
import os
import sys
from setuptools import setup
name = "pypdc"
version="0.0.8"
description = "Python asymptotic Partial Directed Coherence and Directed Coherence estimation package for brain connectivity analysis."
authors = {
"Sameshima": ("Koichi Sameshima", "ksameshi@usp.br"),
"Brit... | 28.298246 | 135 | 0.637322 | from glob import glob
import os
import sys
from setuptools import setup
name = "pypdc"
version="0.0.8"
description = "Python asymptotic Partial Directed Coherence and Directed Coherence estimation package for brain connectivity analysis."
authors = {
"Sameshima": ("Koichi Sameshima", "ksameshi@usp.br"),
"Brit... | 0 | 0 | 0 |
2a697c10547ee998915d7b5fd9f3cad563a31878 | 2,326 | py | Python | build_tools/benchmarks/common/android_device_utils.py | tjzhou23/iree | 63fd39fa023d0c1e5fb828a96ba927249252ec52 | [
"Apache-2.0"
] | null | null | null | build_tools/benchmarks/common/android_device_utils.py | tjzhou23/iree | 63fd39fa023d0c1e5fb828a96ba927249252ec52 | [
"Apache-2.0"
] | 1 | 2022-01-27T18:10:51.000Z | 2022-01-27T18:10:51.000Z | build_tools/benchmarks/common/android_device_utils.py | tjzhou23/iree | 63fd39fa023d0c1e5fb828a96ba927249252ec52 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Copyright 2021 The IREE Authors
#
# Licensed under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
"""Utils for accessing Android devices."""
import json
import re
from typing i... | 34.716418 | 80 | 0.662941 | #!/usr/bin/env python3
# Copyright 2021 The IREE Authors
#
# Licensed under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
"""Utils for accessing Android devices."""
import json
import re
from typing i... | 0 | 0 | 0 |
20086c74a46b05a7e048f8ea5df75ef9f99dc41f | 6,284 | py | Python | bin/ambient/profile_from_ctd.py | ChrisBarker-NOAA/tamoc | c797cbb6fee28d788b76d21cc5b0cc0df5444ba8 | [
"MIT"
] | 18 | 2016-02-24T01:48:41.000Z | 2021-11-05T03:18:24.000Z | bin/ambient/profile_from_ctd.py | ChrisBarker-NOAA/tamoc | c797cbb6fee28d788b76d21cc5b0cc0df5444ba8 | [
"MIT"
] | 16 | 2016-08-09T07:06:35.000Z | 2021-12-23T19:38:37.000Z | bin/ambient/profile_from_ctd.py | ChrisBarker-NOAA/tamoc | c797cbb6fee28d788b76d21cc5b0cc0df5444ba8 | [
"MIT"
] | 9 | 2017-03-01T01:22:27.000Z | 2021-09-17T12:13:40.000Z | """
Create a profile from an ASCII CTD datafile
===========================================
Use the TAMOC ambient module to create profiles in netCDF format for use by
TAMOC from data in text files downloaded from a CTD. This file demonstrates
working with the data from the R/V Brooks McCall at Station BM 54 on May ... | 34.152174 | 78 | 0.612826 | """
Create a profile from an ASCII CTD datafile
===========================================
Use the TAMOC ambient module to create profiles in netCDF format for use by
TAMOC from data in text files downloaded from a CTD. This file demonstrates
working with the data from the R/V Brooks McCall at Station BM 54 on May ... | 0 | 0 | 0 |
1d81c7428faa5970b0358ffe50aea071a55592d0 | 14,542 | py | Python | tests/test_entrypoint.py | Python-Tools/schema_entry | 5884843607a44cc6de5943e2be04c1a5c48f1886 | [
"MIT"
] | null | null | null | tests/test_entrypoint.py | Python-Tools/schema_entry | 5884843607a44cc6de5943e2be04c1a5c48f1886 | [
"MIT"
] | null | null | null | tests/test_entrypoint.py | Python-Tools/schema_entry | 5884843607a44cc6de5943e2be04c1a5c48f1886 | [
"MIT"
] | null | null | null | import os
import json
import unittest
from pathlib import Path
from typing import Dict, Any
import jsonschema.exceptions
from schema_entry.entrypoint import EntryPoint
| 27.437736 | 71 | 0.421675 | import os
import json
import unittest
from pathlib import Path
from typing import Dict, Any
import jsonschema.exceptions
from schema_entry.entrypoint import EntryPoint
def setUpModule() -> None:
print("[SetUp Submodule schema_entry.entrypoint test]")
def tearDownModule() -> None:
print("[TearDown Submodule... | 13,451 | 826 | 92 |
6f588d8ab562cb24f33c4c2987df22264aede027 | 2,094 | py | Python | tensorflow/compiler/tests/nullary_ops_test.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 522 | 2016-06-08T02:15:50.000Z | 2022-03-02T05:30:36.000Z | tensorflow/compiler/tests/nullary_ops_test.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 133 | 2017-04-26T16:49:49.000Z | 2019-10-15T11:39:26.000Z | tensorflow/compiler/tests/nullary_ops_test.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 108 | 2016-06-16T15:34:05.000Z | 2022-03-12T13:23:11.000Z | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 33.774194 | 80 | 0.657116 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 851 | 13 | 98 |
812da7a9821d8cafd6fff8c1031df30589c192b0 | 272 | py | Python | 03 - Forms and User Input/blog/config.py | alok-sriv/Flask-Blog | 27ac2c63a289ef448ffa9a2321b3c51a3d8c7c64 | [
"MIT"
] | null | null | null | 03 - Forms and User Input/blog/config.py | alok-sriv/Flask-Blog | 27ac2c63a289ef448ffa9a2321b3c51a3d8c7c64 | [
"MIT"
] | null | null | null | 03 - Forms and User Input/blog/config.py | alok-sriv/Flask-Blog | 27ac2c63a289ef448ffa9a2321b3c51a3d8c7c64 | [
"MIT"
] | null | null | null | # FileName: Flask-Blog > blog > config.py
import os, secrets
| 34 | 107 | 0.705882 | # FileName: Flask-Blog > blog > config.py
import os, secrets
class Config(object):
SECRET_KEY = os.environ.get('SECRET_KEY') or secrets.token_urlsafe()
# I prefer the "or" method, as that also works if the environment variable is set to an empty string.
| 0 | 183 | 24 |
53a049eb1d8ddcb78573a7aaa15e0dc599c34ba0 | 1,912 | py | Python | jike/qr_code.py | waysup/Jike-Metro | b8ead80dddd5d695784c5587edfd8df87c55a4e6 | [
"MIT"
] | 193 | 2018-04-04T02:27:51.000Z | 2022-03-14T03:26:44.000Z | jike/qr_code.py | waysup/Jike-Metro | b8ead80dddd5d695784c5587edfd8df87c55a4e6 | [
"MIT"
] | 16 | 2018-04-04T05:58:15.000Z | 2021-01-08T02:56:57.000Z | jike/qr_code.py | waysup/Jike-Metro | b8ead80dddd5d695784c5587edfd8df87c55a4e6 | [
"MIT"
] | 24 | 2018-04-06T09:34:58.000Z | 2021-03-02T02:10:07.000Z | # -*- coding: utf-8 -*-
"""
QR code that be scanned to allow login
"""
import qrcode
import tempfile
import webbrowser
from decimal import Decimal
from qrcode.image.svg import SvgImage
from .constants import JIKE_URI_SCHEME_FMT, RENDER2BROWSER_HTML_TEMPLATE
| 26.555556 | 118 | 0.651674 | # -*- coding: utf-8 -*-
"""
QR code that be scanned to allow login
"""
import qrcode
import tempfile
import webbrowser
from decimal import Decimal
from qrcode.image.svg import SvgImage
from .constants import JIKE_URI_SCHEME_FMT, RENDER2BROWSER_HTML_TEMPLATE
def make_qrcode(uuid, render_choice='browser'):
qr = q... | 1,285 | 247 | 115 |
f9734951c87899d8c4336cf213bf5f3befa02662 | 142 | py | Python | decorators_nesting/nesting.py | shaunryan/python-decorators | 04f36b25f6e616b01a566b3c4ff42a4b43650e97 | [
"MIT"
] | null | null | null | decorators_nesting/nesting.py | shaunryan/python-decorators | 04f36b25f6e616b01a566b3c4ff42a4b43650e97 | [
"MIT"
] | null | null | null | decorators_nesting/nesting.py | shaunryan/python-decorators | 04f36b25f6e616b01a566b3c4ff42a4b43650e97 | [
"MIT"
] | null | null | null | from decorators import debug, do_twice
# debug(do_twice(greet()))
@debug
@do_twice
greet("Eva") | 14.2 | 38 | 0.697183 | from decorators import debug, do_twice
# debug(do_twice(greet()))
@debug
@do_twice
def greet(name):
print(f"Hello {name}")
greet("Eva") | 22 | 0 | 22 |
7d38a049431e1714e2f405a24a19e3ada149bc62 | 14,810 | py | Python | dataset_dstc_clean_asr.py | kolk/MODELING-ASR-AMBIGUITY-FOR-NEURAL-DIALOGUE-STATE-TRACKING-USING-WORD-CONFUSION-NETWORKS | 4b70d90683f5489f903e296c3be493294e446cf3 | [
"BSD-3-Clause"
] | 3 | 2020-07-01T08:34:57.000Z | 2021-12-04T04:22:13.000Z | dataset_dstc_clean_asr.py | kolk/MODELING-ASR-AMBIGUITY-FOR-NEURAL-DIALOGUE-STATE-TRACKING-USING-WORD-CONFUSION-NETWORKS | 4b70d90683f5489f903e296c3be493294e446cf3 | [
"BSD-3-Clause"
] | 2 | 2019-11-23T20:56:00.000Z | 2020-05-03T23:13:41.000Z | dataset_dstc_clean_asr.py | kolk/MODELING-ASR-AMBIGUITY-FOR-NEURAL-DIALOGUE-STATE-TRACKING-USING-WORD-CONFUSION-NETWORKS | 4b70d90683f5489f903e296c3be493294e446cf3 | [
"BSD-3-Clause"
] | null | null | null | import json
from collections import defaultdict
import numpy as np
from tqdm import tqdm
from stanza.nlp.corenlp import CoreNLPClient
import itertools
from jiwer import wer
from utils import get_cnet_best_pass
import csv
from math import exp
from functools import reduce
import time
client = None
def cnet_best_n_paths(... | 55.676692 | 2,270 | 0.605469 | import json
from collections import defaultdict
import numpy as np
from tqdm import tqdm
from stanza.nlp.corenlp import CoreNLPClient
import itertools
from jiwer import wer
from utils import get_cnet_best_pass
import csv
from math import exp
from functools import reduce
import time
client = None
def cnet_best_n_paths(... | 12,523 | 846 | 115 |
573d5849a3c8ba9bc16374ca194418c4c903bd84 | 19,822 | py | Python | Code/binarytree.py | HexSeal/CS-1.3-Core-Data-Structures | 1b6da3afe89cf68c1ad120617b8e1e80652694b9 | [
"MIT"
] | null | null | null | Code/binarytree.py | HexSeal/CS-1.3-Core-Data-Structures | 1b6da3afe89cf68c1ad120617b8e1e80652694b9 | [
"MIT"
] | 7 | 2020-02-14T18:14:10.000Z | 2020-03-09T23:39:10.000Z | Code/binarytree.py | HexSeal/CS-1.3-Core-Data-Structures | 1b6da3afe89cf68c1ad120617b8e1e80652694b9 | [
"MIT"
] | null | null | null | #!python
from queue import LinkedQueue
if __name__ == '__main__':
test_binary_search_tree()
| 44.245536 | 141 | 0.619463 | #!python
from queue import LinkedQueue
class BinaryTreeNode(object):
def __init__(self, data):
"""Initialize this binary tree node with the given data."""
self.data = data
self.left = None
self.right = None
def __repr__(self):
"""Return a string representation of this ... | 1,262 | 18,392 | 69 |
82d6b534d9dc99146c402b66f279b179d1cab4ac | 1,972 | py | Python | lib/schema.py | chris48s/json-schema-viewer | 01c75e779d8c6661947a0bd2c755e8fecc063b71 | [
"MIT"
] | null | null | null | lib/schema.py | chris48s/json-schema-viewer | 01c75e779d8c6661947a0bd2c755e8fecc063b71 | [
"MIT"
] | 18 | 2022-01-03T20:31:15.000Z | 2022-03-28T20:35:34.000Z | lib/schema.py | chris48s/json-schema-viewer | 01c75e779d8c6661947a0bd2c755e8fecc063b71 | [
"MIT"
] | null | null | null | import asyncio
import urllib.parse
from dataclasses import dataclass
import httpx
@dataclass(eq=False)
| 25.282051 | 85 | 0.627789 | import asyncio
import urllib.parse
from dataclasses import dataclass
import httpx
@dataclass(eq=False)
class RemoteSchema:
url: str
schema: bytes = None
@property
def fetched(self):
return bool(self.schema)
def __eq__(self, other):
return self.url == other.url
@property
... | 1,555 | 145 | 160 |
0aa3d50febd9aa8cd29d83f827149973ff83da6e | 349 | py | Python | finished/python_principles/01_capital_indexes.py | UltiRequiem/daily-python-practice | 31f72c45378be90b8fcadd30d7042819ee551a17 | [
"MIT"
] | 8 | 2021-05-29T23:30:12.000Z | 2021-09-24T03:25:44.000Z | finished/python_principles/01_capital_indexes.py | UltiRequiem/daily-python-practice | 31f72c45378be90b8fcadd30d7042819ee551a17 | [
"MIT"
] | null | null | null | finished/python_principles/01_capital_indexes.py | UltiRequiem/daily-python-practice | 31f72c45378be90b8fcadd30d7042819ee551a17 | [
"MIT"
] | 6 | 2021-06-02T14:20:24.000Z | 2021-08-19T00:49:26.000Z |
if __name__ == "__main__":
tests()
| 26.846154 | 84 | 0.661891 | def capital_indexes(string: str) -> list:
return [index for index, char in enumerate(string) if char.isupper()]
# return [letter for letter in range(len(indexes)) if indexes[letter].isupper()]
def tests() -> None:
print(capital_indexes("mYtESt")) # [1, 3, 4]
print(capital_indexes("owO"))
if __name_... | 262 | 0 | 45 |
0f0307d4db988396f9cfea11798ce2ce8f64aeba | 2,813 | py | Python | neurokit2/signal/signal_period.py | vansjyo/NeuroKit | 238cd3d89467f7922c68a3a4c1f44806a8466922 | [
"MIT"
] | null | null | null | neurokit2/signal/signal_period.py | vansjyo/NeuroKit | 238cd3d89467f7922c68a3a4c1f44806a8466922 | [
"MIT"
] | null | null | null | neurokit2/signal/signal_period.py | vansjyo/NeuroKit | 238cd3d89467f7922c68a3a4c1f44806a8466922 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
from .signal_interpolate import signal_interpolate
from .signal_formatpeaks import _signal_formatpeaks_sanitize
def signal_period(peaks, sampling_rate=1000, desired_length=None,
interpolation_order="cubic"):
"""Calculate signal period from a series of ... | 37.506667 | 79 | 0.651262 | # -*- coding: utf-8 -*-
import numpy as np
from .signal_interpolate import signal_interpolate
from .signal_formatpeaks import _signal_formatpeaks_sanitize
def signal_period(peaks, sampling_rate=1000, desired_length=None,
interpolation_order="cubic"):
"""Calculate signal period from a series of ... | 0 | 0 | 0 |
ac01da5aed1a388f449625d499fb1102f61b10d4 | 6,431 | py | Python | morgan/settings/base.py | morgan-county/site | 86c0cc9d85fecd62e1d20bd3e841d19165ed3956 | [
"MIT"
] | null | null | null | morgan/settings/base.py | morgan-county/site | 86c0cc9d85fecd62e1d20bd3e841d19165ed3956 | [
"MIT"
] | null | null | null | morgan/settings/base.py | morgan-county/site | 86c0cc9d85fecd62e1d20bd3e841d19165ed3956 | [
"MIT"
] | null | null | null | # Import global settings to make it easier to extend settings.
from django.conf.global_settings import * # pylint: disable=W0614,W0401
#============================================================================
# Generic Django project settings
#=====================================================================... | 31.52451 | 78 | 0.573472 | # Import global settings to make it easier to extend settings.
from django.conf.global_settings import * # pylint: disable=W0614,W0401
#============================================================================
# Generic Django project settings
#=====================================================================... | 0 | 0 | 0 |
90be26666e54941741fa17431ea12c308a281654 | 176 | py | Python | students/K33401/Nikitin_Michail/lab2/django_project_nikitin/project_first_app/admin.py | mexannik1998/ITMO_ICT_WebDevelopment_2020-2021 | b35f80e8439784e1ab24fbe7db82f30864ba9b69 | [
"MIT"
] | null | null | null | students/K33401/Nikitin_Michail/lab2/django_project_nikitin/project_first_app/admin.py | mexannik1998/ITMO_ICT_WebDevelopment_2020-2021 | b35f80e8439784e1ab24fbe7db82f30864ba9b69 | [
"MIT"
] | null | null | null | students/K33401/Nikitin_Michail/lab2/django_project_nikitin/project_first_app/admin.py | mexannik1998/ITMO_ICT_WebDevelopment_2020-2021 | b35f80e8439784e1ab24fbe7db82f30864ba9b69 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import *
admin.site.register(Car)
admin.site.register(DriverLicense)
admin.site.register(Driver)
admin.site.register(Ownership)
| 19.555556 | 34 | 0.8125 | from django.contrib import admin
from .models import *
admin.site.register(Car)
admin.site.register(DriverLicense)
admin.site.register(Driver)
admin.site.register(Ownership)
| 0 | 0 | 0 |
4914b3ff58f712aa219e34237813c84706a51f0f | 324 | py | Python | _themes/conan/__init__.py | MarcoKoch/conan-docs | 72b1fcbee094a33299567b11c0424874e5905aea | [
"MIT"
] | null | null | null | _themes/conan/__init__.py | MarcoKoch/conan-docs | 72b1fcbee094a33299567b11c0424874e5905aea | [
"MIT"
] | null | null | null | _themes/conan/__init__.py | MarcoKoch/conan-docs | 72b1fcbee094a33299567b11c0424874e5905aea | [
"MIT"
] | null | null | null | """Sphinx ReadTheDocs theme.
From https://github.com/ryan-roemer/sphinx-bootstrap-theme.
"""
import os
__version__ = '0.2.0'
__version_full__ = __version__
def get_html_theme_path():
"""Return list of HTML theme paths."""
cur_dir = os.path.abspath(os.path.dirname(os.path.dirname(__file__)))
return cur_... | 20.25 | 73 | 0.722222 | """Sphinx ReadTheDocs theme.
From https://github.com/ryan-roemer/sphinx-bootstrap-theme.
"""
import os
__version__ = '0.2.0'
__version_full__ = __version__
def get_html_theme_path():
"""Return list of HTML theme paths."""
cur_dir = os.path.abspath(os.path.dirname(os.path.dirname(__file__)))
return cur_... | 0 | 0 | 0 |
483523b71a14c73ab3b6ee24a729378037e02225 | 6,289 | py | Python | models/official/detection/modeling/segmentation_model.py | GerinTang/tpu | d6ca25c49b5f7e88fdf7d2623cf6fd8349ddfc3f | [
"Apache-2.0"
] | 5,098 | 2018-02-09T16:56:49.000Z | 2022-03-31T13:50:40.000Z | models/official/detection/modeling/segmentation_model.py | GerinTang/tpu | d6ca25c49b5f7e88fdf7d2623cf6fd8349ddfc3f | [
"Apache-2.0"
] | 550 | 2018-02-07T05:30:06.000Z | 2022-03-13T22:00:09.000Z | models/official/detection/modeling/segmentation_model.py | GerinTang/tpu | d6ca25c49b5f7e88fdf7d2623cf6fd8349ddfc3f | [
"Apache-2.0"
] | 1,920 | 2018-02-07T23:44:49.000Z | 2022-03-29T03:11:08.000Z | # Lint as: python2, python3
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 36.563953 | 80 | 0.705677 | # Lint as: python2, python3
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 2,485 | 0 | 125 |
3de6097ae14b4d5331accdf470c72be7e4577169 | 26,868 | py | Python | mf/mf_gp_bandit.py | rajatsen91/MFTreeSearchCV | cf5ef5f537267c1c2c34a4f40042a051aad434f9 | [
"MIT"
] | 8 | 2019-10-24T22:27:10.000Z | 2021-10-07T00:19:52.000Z | mf/mf_gp_bandit.py | rajatsen91/MFTreeSearchCV | cf5ef5f537267c1c2c34a4f40042a051aad434f9 | [
"MIT"
] | 1 | 2021-03-16T23:20:54.000Z | 2021-05-25T20:43:27.000Z | mf/mf_gp_bandit.py | rajatsen91/MFTreeSearchCV | cf5ef5f537267c1c2c34a4f40042a051aad434f9 | [
"MIT"
] | 1 | 2020-07-21T21:18:58.000Z | 2020-07-21T21:18:58.000Z | """
Implements Multi-fidelity GP Bandit Optimisaiton.
-- kandasamy@cs.cmu.edu
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=super-on-old-class
from argparse import Namespace
from copy import deepcopy
import time
imp... | 47.893048 | 90 | 0.679582 | """
Implements Multi-fidelity GP Bandit Optimisaiton.
-- kandasamy@cs.cmu.edu
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=super-on-old-class
from argparse import Namespace
from copy import deepcopy
import time
imp... | 0 | 0 | 0 |
fa2d11736a48234a5b517a6bde2626fadc7b00b3 | 615 | py | Python | tests/db.py | ralphqq/testing-async-db | de02ed891a638f839f063e7401839ee551955d4c | [
"MIT"
] | null | null | null | tests/db.py | ralphqq/testing-async-db | de02ed891a638f839f063e7401839ee551955d4c | [
"MIT"
] | null | null | null | tests/db.py | ralphqq/testing-async-db | de02ed891a638f839f063e7401839ee551955d4c | [
"MIT"
] | null | null | null | from sqlalchemy import create_engine
from sqlalchemy.engine.url import URL
from sqlalchemy.orm import scoped_session, sessionmaker
from settings import DATABASE
TEST_DB = dict(DATABASE)
engine = create_engine(URL(**TEST_DB))
Session = scoped_session(sessionmaker(bind=engine))
def delete_rows(db_engine, base_obj):... | 27.954545 | 63 | 0.744715 | from sqlalchemy import create_engine
from sqlalchemy.engine.url import URL
from sqlalchemy.orm import scoped_session, sessionmaker
from settings import DATABASE
TEST_DB = dict(DATABASE)
engine = create_engine(URL(**TEST_DB))
Session = scoped_session(sessionmaker(bind=engine))
def delete_rows(db_engine, base_obj):... | 0 | 0 | 0 |
7292e3a62c53434a27486c5dfb526a299fb18720 | 1,979 | py | Python | readalongs/g2p/make_dict.py | finguist/ReadAlong-Studio | fb2ad609eec175ff18cf9a53df05d8dad739898a | [
"MIT"
] | 1 | 2021-10-02T09:38:49.000Z | 2021-10-02T09:38:49.000Z | readalongs/g2p/make_dict.py | finguist/ReadAlong-Studio | fb2ad609eec175ff18cf9a53df05d8dad739898a | [
"MIT"
] | null | null | null | readalongs/g2p/make_dict.py | finguist/ReadAlong-Studio | fb2ad609eec175ff18cf9a53df05d8dad739898a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
##################################################
#
# make_dict.py
#
# This module takes a text file, marked up with
# units (e.g. w for word, m for morpheme) and ids
# and converted to IPA, and produces a
# .dict file for processing by PocketSphinx.
#
##################... | 27.873239 | 76 | 0.590197 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
##################################################
#
# make_dict.py
#
# This module takes a text file, marked up with
# units (e.g. w for word, m for morpheme) and ids
# and converted to IPA, and produces a
# .dict file for processing by PocketSphinx.
#
##################... | 719 | 0 | 46 |
bde58d6a194b02eb7680e0fa09837b37da9569a8 | 1,604 | py | Python | computeChebyshevDerivativeMatrix.py | jeguerra/nonlinearMtnWavesSolver | e2fe83d1f7c3c57cbe9ba0299a1b9179cf4b5869 | [
"MIT"
] | null | null | null | computeChebyshevDerivativeMatrix.py | jeguerra/nonlinearMtnWavesSolver | e2fe83d1f7c3c57cbe9ba0299a1b9179cf4b5869 | [
"MIT"
] | null | null | null | computeChebyshevDerivativeMatrix.py | jeguerra/nonlinearMtnWavesSolver | e2fe83d1f7c3c57cbe9ba0299a1b9179cf4b5869 | [
"MIT"
] | 1 | 2019-09-30T05:04:44.000Z | 2019-09-30T05:04:44.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 19 13:05:23 2019
@author: TempestGuerra
"""
import numpy as np
import math as mt
from HerfunChebNodesWeights import chebpolym, cheblb | 26.295082 | 71 | 0.502494 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 19 13:05:23 2019
@author: TempestGuerra
"""
import numpy as np
import math as mt
from HerfunChebNodesWeights import chebpolym, cheblb
def computeChebyshevDerivativeMatrix(DIMS):
# Get data from DIMS
ZH = DIMS[2]
NZ = D... | 1,376 | 0 | 23 |
6d3f596b5983291fc4388b685d44ef14cf7f4bbe | 42 | py | Python | back/bookclub/db/__init__.py | wonesy/bookclub | 0b0368974ca5c9f25666efd556e5b514db44180f | [
"MIT"
] | null | null | null | back/bookclub/db/__init__.py | wonesy/bookclub | 0b0368974ca5c9f25666efd556e5b514db44180f | [
"MIT"
] | null | null | null | back/bookclub/db/__init__.py | wonesy/bookclub | 0b0368974ca5c9f25666efd556e5b514db44180f | [
"MIT"
] | null | null | null | from .connection import database, init_db
| 21 | 41 | 0.833333 | from .connection import database, init_db
| 0 | 0 | 0 |
ad8ebe3758f338692569062dba22fc8064048c61 | 6,519 | py | Python | opensubtitles/create_data_test.py | azizullah2017/conversational-datasets | 932050fbfa0f650c43a3a4df78238e0fcf848f3f | [
"Apache-2.0"
] | 1,017 | 2019-04-16T01:01:07.000Z | 2022-03-29T23:22:19.000Z | opensubtitles/create_data_test.py | azizullah2017/conversational-datasets | 932050fbfa0f650c43a3a4df78238e0fcf848f3f | [
"Apache-2.0"
] | 27 | 2019-04-21T20:01:10.000Z | 2022-03-09T12:11:10.000Z | opensubtitles/create_data_test.py | azizullah2017/conversational-datasets | 932050fbfa0f650c43a3a4df78238e0fcf848f3f | [
"Apache-2.0"
] | 153 | 2019-04-16T10:09:36.000Z | 2022-02-24T13:17:41.000Z | """Tests for create_data.py."""
import json
import shutil
import tempfile
import unittest
from glob import glob
from os import path
import tensorflow as tf
from opensubtitles import create_data
_TRAIN_FILE = "\n".join([
"matt: AAAA", # words followed by colons are stripped.
"[skip]", # text in brackets is... | 33.430769 | 76 | 0.564044 | """Tests for create_data.py."""
import json
import shutil
import tempfile
import unittest
from glob import glob
from os import path
import tensorflow as tf
from opensubtitles import create_data
_TRAIN_FILE = "\n".join([
"matt: AAAA", # words followed by colons are stripped.
"[skip]", # text in brackets is... | 5,603 | 27 | 212 |
266bd8a833d8c6d705d9bcc39dcd50ada0c20234 | 3,851 | py | Python | metriql2metabase/metabase.py | metriql/metriql-metabase | 64915705864e9214acbbdf9ef5cfc6289fb829ca | [
"MIT"
] | null | null | null | metriql2metabase/metabase.py | metriql/metriql-metabase | 64915705864e9214acbbdf9ef5cfc6289fb829ca | [
"MIT"
] | null | null | null | metriql2metabase/metabase.py | metriql/metriql-metabase | 64915705864e9214acbbdf9ef5cfc6289fb829ca | [
"MIT"
] | null | null | null | import logging
import sys
from metriql2metabase.dbt_metabase import MetabaseClient
from metriql2metabase.models.metabase import MetabaseModel, MetabaseColumn, MetabaseMetric
| 44.77907 | 106 | 0.576474 | import logging
import sys
from metriql2metabase.dbt_metabase import MetabaseClient
from metriql2metabase.models.metabase import MetabaseModel, MetabaseColumn, MetabaseMetric
class DatabaseOperation:
client: MetabaseClient
def __init__(self, metabase_url, username, password, verbose):
self.client = M... | 3,406 | 246 | 23 |
8a0bc7147cd3b6c1ede46c69b65f77f506ff6f17 | 7,335 | py | Python | clover/core/variable.py | 52clover/clover | 9c8b763a54059f396c5338856b9402dc7159512e | [
"Apache-2.0"
] | 5 | 2020-05-26T15:19:38.000Z | 2021-11-13T15:00:22.000Z | clover/core/variable.py | 52clover/clover | 9c8b763a54059f396c5338856b9402dc7159512e | [
"Apache-2.0"
] | 4 | 2020-07-26T10:55:39.000Z | 2021-09-07T04:17:21.000Z | clover/core/variable.py | 52clover/clover | 9c8b763a54059f396c5338856b9402dc7159512e | [
"Apache-2.0"
] | 3 | 2020-06-09T01:57:09.000Z | 2020-09-03T11:13:25.000Z | """
# Clover平台变量机制实现。
# author : taoyanli0808
# date : 2020-05-27
# version: 1.2
# -------------------- Clover平台变量机制 --------------------
# clover平台变量分为4种类型，平台内置变量、自定义变量、触发变量与运行时变量
# 1、平台内置变量
# clover平台内置变量目前有response、request、keyword、variable、exception、
# validator、extractor共7个，详见各模块说明文档。
# 2、自定义变量
# 自定义变量（default）通过... | 34.43662 | 88 | 0.543422 | """
# Clover平台变量机制实现。
# author : taoyanli0808
# date : 2020-05-27
# version: 1.2
# -------------------- Clover平台变量机制 --------------------
# clover平台变量分为4种类型，平台内置变量、自定义变量、触发变量与运行时变量
# 1、平台内置变量
# clover平台内置变量目前有response、request、keyword、variable、exception、
# validator、extractor共7个，详见各模块说明文档。
# 2、自定义变量
# 自定义变量（default）通过... | 1,830 | 5,203 | 23 |
05da3974fb6e3504f505cbb3d1649d9973b0a8b9 | 1,657 | py | Python | 59/59.py | bobismijnnaam/bobe-euler | 111abdf37256d19c4a8c4e1a071db52929acf9d9 | [
"MIT"
] | null | null | null | 59/59.py | bobismijnnaam/bobe-euler | 111abdf37256d19c4a8c4e1a071db52929acf9d9 | [
"MIT"
] | null | null | null | 59/59.py | bobismijnnaam/bobe-euler | 111abdf37256d19c4a8c4e1a071db52929acf9d9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from Utils import *
if __name__ == "__main__":
with open("./p059_cipher.txt", "r") as f:
contents = f.read()
contents = contents[:-1].split(",")
contents = [int(x) for x in contents]
print(contents)
testContents = contents[:120]
candidates = []
# Your code... | 31.865385 | 90 | 0.490646 | #!/usr/bin/env python3
from Utils import *
def isNormalCharacter(c):
if c == ' ':
return True
if ord(c) >= ord('a') and ord(c) <= ord('z'):
return True
if ord(c) >= ord('A') and ord(c) <= ord('Z'):
return True
return False
if __name__ == "__main__":
with open("./p059_ciphe... | 198 | 0 | 23 |
2003f2d4e31957f7e197dbfb5909a968f0b07601 | 3,902 | py | Python | services/controller/src/plz/controller/volumes.py | prodo-ai/plz | 46d179fca5730b7ed2f236d53d78c42358aed72b | [
"MIT"
] | 29 | 2018-04-14T20:05:41.000Z | 2019-04-15T09:02:40.000Z | services/controller/src/plz/controller/volumes.py | neomatrix369/plz | 12f05a8d071e9c1976c444d34161530ffa73eeae | [
"MIT"
] | 23 | 2018-04-14T23:32:32.000Z | 2019-06-07T21:38:58.000Z | services/controller/src/plz/controller/volumes.py | neomatrix369/plz | 12f05a8d071e9c1976c444d34161530ffa73eeae | [
"MIT"
] | 3 | 2018-09-19T15:08:21.000Z | 2019-03-22T12:21:07.000Z | import io
import os.path
import tarfile
import tempfile
from abc import ABC, abstractmethod
from typing import List
import docker
import docker.errors
from docker.models.containers import Container
from docker.models.volumes import Volume
from docker.types import Mount
| 32.789916 | 76 | 0.650692 | import io
import os.path
import tarfile
import tempfile
from abc import ABC, abstractmethod
from typing import List
import docker
import docker.errors
from docker.models.containers import Container
from docker.models.volumes import Volume
from docker.types import Mount
class VolumeObject(ABC):
@abstractmethod
... | 2,595 | 733 | 297 |
ef0af89c33c3e540c333c2c2fba1b76a30120509 | 1,361 | py | Python | examples/undocumented/python_modular/classifier_multiclasslogisticregression_modular.py | srgnuclear/shogun | 33c04f77a642416376521b0cd1eed29b3256ac13 | [
"Ruby",
"MIT"
] | 1 | 2015-11-05T18:31:14.000Z | 2015-11-05T18:31:14.000Z | examples/undocumented/python_modular/classifier_multiclasslogisticregression_modular.py | waderly/shogun | 9288b6fa38e001d63c32188f7f847dadea66e2ae | [
"Ruby",
"MIT"
] | null | null | null | examples/undocumented/python_modular/classifier_multiclasslogisticregression_modular.py | waderly/shogun | 9288b6fa38e001d63c32188f7f847dadea66e2ae | [
"Ruby",
"MIT"
] | null | null | null | #!/usr/bin/env python
from tools.multiclass_shared import prepare_data
[traindat, label_traindat, testdat, label_testdat] = prepare_data(False)
parameter_list = [[traindat,testdat,label_traindat,label_testdat,2.1,1e-5],[traindat,testdat,label_traindat,label_testdat,2.2,1e-5]]
if __name__=='__main__':
print('Multi... | 33.195122 | 189 | 0.825129 | #!/usr/bin/env python
from tools.multiclass_shared import prepare_data
[traindat, label_traindat, testdat, label_testdat] = prepare_data(False)
parameter_list = [[traindat,testdat,label_traindat,label_testdat,2.1,1e-5],[traindat,testdat,label_traindat,label_testdat,2.2,1e-5]]
def classifier_multiclasslogisticregre... | 923 | 0 | 23 |
8936f81e124bfacbe4b930301caafb02ebc69faa | 18,361 | py | Python | pycket/option_helper.py | pmatos/pycket | 6a04b064981f99538df5c3170a2f947e841e79de | [
"MIT"
] | null | null | null | pycket/option_helper.py | pmatos/pycket | 6a04b064981f99538df5c3170a2f947e841e79de | [
"MIT"
] | null | null | null | pycket/option_helper.py | pmatos/pycket | 6a04b064981f99538df5c3170a2f947e841e79de | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
#
from rpython.rlib import jit
file_expr_opts = ["-e", "--eval",
"-f", "--load",
"-t", "--require",
"-l", "--lib",
"-p",
"-r", "--script",
"-u", "--require-script",... | 35.652427 | 120 | 0.456457 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
#
from rpython.rlib import jit
def print_help(argv):
print """Welcome to Pycket.
%s [<option> ...] <argument> ...
File and expression options:
-e <exprs>, --eval <exprs> : Evaluate <exprs>, prints results
-f <file>, --load <file> : Like -e '(loa... | 16,310 | 0 | 92 |
1b799fbbf83ad1972c0cba7b83433448593b70f8 | 2,969 | py | Python | src/states/oklahoma/main.py | mail-my-ballot/elections-officials | f52862b62121a6e30f8f1c865bfe62705d3a0748 | [
"Apache-2.0"
] | 3 | 2020-04-26T02:05:33.000Z | 2020-07-06T22:11:04.000Z | src/states/oklahoma/main.py | mail-my-ballot/elections-officials | f52862b62121a6e30f8f1c865bfe62705d3a0748 | [
"Apache-2.0"
] | 25 | 2020-05-22T18:51:01.000Z | 2020-06-28T00:47:19.000Z | src/states/oklahoma/main.py | vote-by-mail/elections-officials | ac3cfb896db11f553f9c22ea2303fa54e6bb1a39 | [
"Apache-2.0"
] | 5 | 2020-05-21T01:28:57.000Z | 2020-07-01T23:02:31.000Z | from io import BytesIO
from io import StringIO
import re
from urllib.parse import urljoin
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
from pdfminer.pdfpage import PDFPage
from bs4 import BeautifulSoup
from common... | 34.523256 | 119 | 0.712698 | from io import BytesIO
from io import StringIO
import re
from urllib.parse import urljoin
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
from pdfminer.pdfpage import PDFPage
from bs4 import BeautifulSoup
from common... | 1,948 | 0 | 91 |
374c68d8637ec6856bc86d4706d8076c322277a6 | 2,877 | py | Python | everyday_wechat/control/horoscope/T2345_horescope.py | filon7/EverydayWechat | cf4f509eb570de312995ce5c3b517f369753a1e9 | [
"MIT"
] | null | null | null | everyday_wechat/control/horoscope/T2345_horescope.py | filon7/EverydayWechat | cf4f509eb570de312995ce5c3b517f369753a1e9 | [
"MIT"
] | null | null | null | everyday_wechat/control/horoscope/T2345_horescope.py | filon7/EverydayWechat | cf4f509eb570de312995ce5c3b517f369753a1e9 | [
"MIT"
] | null | null | null | #! usr/bin/env python
# -*- coding: utf-8 -*-
"""
爬取 星座屋 星座运势
http://tools.2345.com/naonao/
"""
import re
from functools import reduce
import requests
from bs4 import BeautifulSoup
from everyday_wechat.utils.common import SPIDER_HEADERS
__all__ = ['get_2345_horoscope', 'get_today_horoscope']
XZW_BASE_URL_TOD... | 31.271739 | 133 | 0.577338 | #! usr/bin/env python
# -*- coding: utf-8 -*-
"""
爬取 星座屋 星座运势
http://tools.2345.com/naonao/
"""
import re
from functools import reduce
import requests
from bs4 import BeautifulSoup
from everyday_wechat.utils.common import SPIDER_HEADERS
__all__ = ['get_2345_horoscope', 'get_today_horoscope']
XZW_BASE_URL_TOD... | 0 | 0 | 0 |
b67b7ebbe3349b2c4b392f6b74613696ad15fa6c | 5,529 | py | Python | tigerpath/models.py | richardhuangz/tigerpath | 6f57dc3dffbc773dba7d27cf5fe89b1c92d1b214 | [
"MIT"
] | 10 | 2020-07-23T15:41:17.000Z | 2021-11-29T02:25:54.000Z | tigerpath/models.py | richardhuangz/tigerpath | 6f57dc3dffbc773dba7d27cf5fe89b1c92d1b214 | [
"MIT"
] | 133 | 2018-07-13T05:05:10.000Z | 2022-03-08T22:05:59.000Z | tigerpath/models.py | churichard/tigerpath | 9eda53e171cbd4c97ae2178da2a9b4ca433a91d8 | [
"MIT"
] | 12 | 2018-08-19T07:02:34.000Z | 2021-12-23T02:14:41.000Z | from django.db import models
from django.db.models.signals import post_save
from django.dispatch import receiver
from django.conf import settings
from django.contrib.auth.models import User
from django.contrib.postgres.fields import JSONField, ArrayField
import uuid
@receiver(post_save, sender=User)
| 32.333333 | 121 | 0.666486 | from django.db import models
from django.db.models.signals import post_save
from django.dispatch import receiver
from django.conf import settings
from django.contrib.auth.models import User
from django.contrib.postgres.fields import JSONField, ArrayField
import uuid
class Semester(models.Model):
# fields
sta... | 931 | 4,080 | 206 |
10e9231683df2d9465801c1fb234717d37c518ec | 1,725 | py | Python | src/gateways/sqlite3_db.py | SaltyCatFish/rlt-yify-tools | 758bfbde5535d80a2f70c6b5a2f913a3da321a6a | [
"MIT"
] | null | null | null | src/gateways/sqlite3_db.py | SaltyCatFish/rlt-yify-tools | 758bfbde5535d80a2f70c6b5a2f913a3da321a6a | [
"MIT"
] | null | null | null | src/gateways/sqlite3_db.py | SaltyCatFish/rlt-yify-tools | 758bfbde5535d80a2f70c6b5a2f913a3da321a6a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
.. module:: sqlite3_db
:platform: Unix
:synopsis: I/O for sqlite3 database
.. moduleauthor:: Ryan Long <ryanlong1004@gmail.com>
"""
import os
import sqlite3
class Sqlite3:
"""Gateway for I/O to sqlite 3 database
..todo:: Add context manager so we can close the db
"""
... | 25.746269 | 81 | 0.512464 | # -*- coding: utf-8 -*-
"""
.. module:: sqlite3_db
:platform: Unix
:synopsis: I/O for sqlite3 database
.. moduleauthor:: Ryan Long <ryanlong1004@gmail.com>
"""
import os
import sqlite3
class Sqlite3:
"""Gateway for I/O to sqlite 3 database
..todo:: Add context manager so we can close the db
"""
... | 0 | 0 | 0 |
bd56e3e31719abc221db19edbbfd957b9554281f | 916 | py | Python | snakemake_workflow_template/release_modules/apis/identifiers_api/build/lib/identifiers_api/models/identifier.py | regulondbunam/RegulonDB-MCO-Felipe | 6e5546907399d5712a8e69f2f8320af8d30b9d7b | [
"MIT"
] | null | null | null | snakemake_workflow_template/release_modules/apis/identifiers_api/build/lib/identifiers_api/models/identifier.py | regulondbunam/RegulonDB-MCO-Felipe | 6e5546907399d5712a8e69f2f8320af8d30b9d7b | [
"MIT"
] | null | null | null | snakemake_workflow_template/release_modules/apis/identifiers_api/build/lib/identifiers_api/models/identifier.py | regulondbunam/RegulonDB-MCO-Felipe | 6e5546907399d5712a8e69f2f8320af8d30b9d7b | [
"MIT"
] | null | null | null | from mongoengine import fields
from mongoengine import DynamicDocument
from .sequence import Sequence
| 45.8 | 77 | 0.791485 | from mongoengine import fields
from mongoengine import DynamicDocument
from .sequence import Sequence
class Identifier(DynamicDocument):
id = fields.StringField(required=False, db_field="_id", primary_key=True)
creationDate = fields.StringField(required=True)
createdOnRegulonDBRelease = fields.StringField... | 0 | 790 | 23 |
14b57ea50cfb35e04530851c3a3f920798b3208a | 53 | py | Python | Functions advanced - Lab/Aboslute values.py | DiyanKalaydzhiev23/Advanced---Python | ed2c60bb887c49e5a87624719633e2b8432f6f6b | [
"MIT"
] | null | null | null | Functions advanced - Lab/Aboslute values.py | DiyanKalaydzhiev23/Advanced---Python | ed2c60bb887c49e5a87624719633e2b8432f6f6b | [
"MIT"
] | null | null | null | Functions advanced - Lab/Aboslute values.py | DiyanKalaydzhiev23/Advanced---Python | ed2c60bb887c49e5a87624719633e2b8432f6f6b | [
"MIT"
] | null | null | null | print([abs(float(num)) for num in input().split()])
| 26.5 | 52 | 0.641509 | print([abs(float(num)) for num in input().split()])
| 0 | 0 | 0 |
caa9425bc492cf957a5a47a05e9d006e452b6677 | 994 | py | Python | hardhat/recipes/ippcompress.py | stangelandcl/hardhat | 1ad0c5dec16728c0243023acb9594f435ef18f9c | [
"MIT"
] | null | null | null | hardhat/recipes/ippcompress.py | stangelandcl/hardhat | 1ad0c5dec16728c0243023acb9594f435ef18f9c | [
"MIT"
] | null | null | null | hardhat/recipes/ippcompress.py | stangelandcl/hardhat | 1ad0c5dec16728c0243023acb9594f435ef18f9c | [
"MIT"
] | null | null | null | from .base import GnuRecipe
| 32.064516 | 75 | 0.583501 | from .base import GnuRecipe
class IppCompressRecipe(GnuRecipe):
def __init__(self, *args, **kwargs):
super(IppCompressRecipe, self).__init__(*args, **kwargs)
self.sha256 = '3d0d4da69e65c46fc97c3713aa4f56ca' \
'b23f3edca76bded26e4db857dc9efd1f'
self.depends = ['unzip'... | 821 | 14 | 130 |
5ec984d8dc0e97318302b3f803e506a717a9d987 | 9,090 | py | Python | modules/misc.py | kraileth/miniraven | 00e703482240b7db96749ed4631c8d34e6cc7d2a | [
"BSD-2-Clause"
] | 1 | 2021-08-21T04:54:39.000Z | 2021-08-21T04:54:39.000Z | modules/misc.py | kraileth/miniraven | 00e703482240b7db96749ed4631c8d34e6cc7d2a | [
"BSD-2-Clause"
] | 3 | 2021-08-21T08:17:50.000Z | 2021-11-24T09:09:49.000Z | modules/misc.py | kraileth/miniraven | 00e703482240b7db96749ed4631c8d34e6cc7d2a | [
"BSD-2-Clause"
] | 1 | 2021-08-29T06:08:30.000Z | 2021-08-29T06:08:30.000Z | #############
# Imports #
#############
import globalvars
import modules.conf as conf
import hashlib
import os
import shutil
import subprocess
from urllib.request import urlretrieve
###############
# Functions #
###############
##########
# Main #
##########
if __name__ == "__main__":
main()
| 38.846154 | 150 | 0.612651 | #############
# Imports #
#############
import globalvars
import modules.conf as conf
import hashlib
import os
import shutil
import subprocess
from urllib.request import urlretrieve
###############
# Functions #
###############
def die(msg):
print(msg)
exit(1)
def verbose_output(string):
if globalvars... | 8,257 | 0 | 529 |
181c0f79602e5dd8070844bb93a31038cafbc56c | 477 | py | Python | accounts/views.py | lukeaparker/makewiki_v2 | 67e4789c5f7fffdeb8f0fbf6b1a2366e32633204 | [
"MIT"
] | null | null | null | accounts/views.py | lukeaparker/makewiki_v2 | 67e4789c5f7fffdeb8f0fbf6b1a2366e32633204 | [
"MIT"
] | 5 | 2020-06-06T00:38:29.000Z | 2022-02-10T10:30:47.000Z | accounts/views.py | lukeaparker/makewiki_v2 | 67e4789c5f7fffdeb8f0fbf6b1a2366e32633204 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render
from django.contrib.auth.forms import UserCreationForm
from django.urls import reverse_lazy
from django.views.generic import CreateView
| 26.5 | 54 | 0.75891 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render
from django.contrib.auth.forms import UserCreationForm
from django.urls import reverse_lazy
from django.views.generic import CreateView
class SignUpView(CreateView):
form_class = UserCreationForm
success_url = ... | 53 | 156 | 23 |
fb571d701e291f44430c57f077fe6e3bcb593f7a | 824 | py | Python | openFood/foodData/models.py | caro-marks/open-Food | 6d8817f307e8e50651b54f422a43b6e2a5c9eddf | [
"Unlicense"
] | null | null | null | openFood/foodData/models.py | caro-marks/open-Food | 6d8817f307e8e50651b54f422a43b6e2a5c9eddf | [
"Unlicense"
] | null | null | null | openFood/foodData/models.py | caro-marks/open-Food | 6d8817f307e8e50651b54f422a43b6e2a5c9eddf | [
"Unlicense"
] | null | null | null | from django.db import models
from django.utils.translation import gettext_lazy as _
| 37.454545 | 67 | 0.701456 | from django.db import models
from django.utils.translation import gettext_lazy as _
class Product(models.Model):
STATUS = (
("DR", _("draft")),
("TR", _("trash")),
("PB", _("published"))
)
status = models.CharField(max_length=2, choices=STATUS)
imported_t = models.DateTimeFiel... | 0 | 716 | 23 |
a9c7bc91fa36f637b09e12bc7ea9ab66acbc19d2 | 2,079 | py | Python | pagework/backlogin/views.py | Grizzy-bear/Virtual-experiment-WEB | 9fc1fdfc1bb369addfc52e39f713200a3724c8e8 | [
"MIT"
] | null | null | null | pagework/backlogin/views.py | Grizzy-bear/Virtual-experiment-WEB | 9fc1fdfc1bb369addfc52e39f713200a3724c8e8 | [
"MIT"
] | null | null | null | pagework/backlogin/views.py | Grizzy-bear/Virtual-experiment-WEB | 9fc1fdfc1bb369addfc52e39f713200a3724c8e8 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import redirect, reverse
from django import forms
from django.views.decorators.csrf import csrf_exempt
from django.contrib.auth.decorators import login_required
# Create your views here.
# @login_requ... | 31.984615 | 66 | 0.622415 | from django.shortcuts import render
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import redirect, reverse
from django import forms
from django.views.decorators.csrf import csrf_exempt
from django.contrib.auth.decorators import login_required
# Create your views here.
def index(req... | 1,491 | 63 | 91 |
769548074a798e406f0b6353447326aef507674c | 201 | py | Python | tests/records/models.py | chan-dra/django-rest-framework-oauth | b85afd29e4bbc85697edabab9644edc5b4fe60de | [
"MIT"
] | 87 | 2016-01-24T16:41:02.000Z | 2021-12-20T21:13:24.000Z | tests/records/models.py | chan-dra/django-rest-framework-oauth | b85afd29e4bbc85697edabab9644edc5b4fe60de | [
"MIT"
] | 16 | 2020-02-11T23:19:19.000Z | 2022-03-11T23:33:40.000Z | tests/records/models.py | chan-dra/django-rest-framework-oauth | b85afd29e4bbc85697edabab9644edc5b4fe60de | [
"MIT"
] | 57 | 2016-02-02T05:46:14.000Z | 2021-03-21T15:46:06.000Z | from django.db import models
| 28.714286 | 74 | 0.736318 | from django.db import models
class Record(models.Model):
account = models.ForeignKey('accounts.Account', blank=True, null=True)
owner = models.ForeignKey('users.User', blank=True, null=True)
| 0 | 148 | 23 |
f568858393088566079b0a9338f9153052633141 | 2,215 | py | Python | getHrs.py | anthonytoribio/MLBHomeRuns | 99405585f63c300acf765af6889f65346aecb1ae | [
"MIT"
] | null | null | null | getHrs.py | anthonytoribio/MLBHomeRuns | 99405585f63c300acf765af6889f65346aecb1ae | [
"MIT"
] | null | null | null | getHrs.py | anthonytoribio/MLBHomeRuns | 99405585f63c300acf765af6889f65346aecb1ae | [
"MIT"
] | null | null | null | # getHrs.py
# Creator: Robert Toribio
# Date: 10/28/2021
import statsapi
from datetime import date
import re
if __name__ == "__main__":
main()
| 26.369048 | 85 | 0.582844 | # getHrs.py
# Creator: Robert Toribio
# Date: 10/28/2021
import statsapi
from datetime import date
import re
def totalhrsToday(all_hrs):
total_hrs = 0
for element in all_hrs:
total_hrs += int(element[1])
return total_hrs
def getGames(date):
game_ids = []
gamesToday = statsapi.schedule(d... | 1,907 | 0 | 127 |
9fb4ba1dc50eab2b20907ba4b668bcad8e0c63de | 409 | py | Python | mundo02/exe061.py | victor-nog/python3-exercicios | 3996a41ee6cb8125573bf6f8997a69c9764fabae | [
"MIT"
] | null | null | null | mundo02/exe061.py | victor-nog/python3-exercicios | 3996a41ee6cb8125573bf6f8997a69c9764fabae | [
"MIT"
] | null | null | null | mundo02/exe061.py | victor-nog/python3-exercicios | 3996a41ee6cb8125573bf6f8997a69c9764fabae | [
"MIT"
] | null | null | null | #061: Refaça o DESAFIO 51, lendo o primeiro termo e a razão de uma PA, mostrando os 10 primeiros termos da progressão usando a estrutura while.
print('=-=' * 15)
print(f'{"PROGRESSÃO ARITMÉTICA":^40}')
print('=-=' * 15)
n = int(input('Digite o 1º termo da PA: '))
r = int(input('Digite a razão: '))
c = n
z = 0
while... | 25.5625 | 143 | 0.603912 | #061: Refaça o DESAFIO 51, lendo o primeiro termo e a razão de uma PA, mostrando os 10 primeiros termos da progressão usando a estrutura while.
print('=-=' * 15)
print(f'{"PROGRESSÃO ARITMÉTICA":^40}')
print('=-=' * 15)
n = int(input('Digite o 1º termo da PA: '))
r = int(input('Digite a razão: '))
c = n
z = 0
while... | 0 | 0 | 0 |
703fb42904ffbaf021f55f86833b77627d7e77b8 | 434 | py | Python | steelconnection/__version__.py | gwenblum/SteelConnection | 1ee809a72696eb3c888b422d382dacfd016e2484 | [
"MIT"
] | null | null | null | steelconnection/__version__.py | gwenblum/SteelConnection | 1ee809a72696eb3c888b422d382dacfd016e2484 | [
"MIT"
] | null | null | null | steelconnection/__version__.py | gwenblum/SteelConnection | 1ee809a72696eb3c888b422d382dacfd016e2484 | [
"MIT"
] | null | null | null | """Provide version and author details."""
__title__ = "steelconnection"
__description__ = "Simplify access to the Riverbed SteelConnect REST API."
__version__ = "0.95.0"
__author__ = "Greg Mueller"
__author_email__ = "steelconnection@grelleum.com"
__copyright__ = "Copyright 2018 Greg Mueller"
__license__ = "MIT"
__ur... | 33.384615 | 74 | 0.778802 | """Provide version and author details."""
__title__ = "steelconnection"
__description__ = "Simplify access to the Riverbed SteelConnect REST API."
__version__ = "0.95.0"
__author__ = "Greg Mueller"
__author_email__ = "steelconnection@grelleum.com"
__copyright__ = "Copyright 2018 Greg Mueller"
__license__ = "MIT"
__ur... | 0 | 0 | 0 |
cc2c055b3d482041b571ee0b15f4759db9a25404 | 11,747 | py | Python | test_la.py | olgarogova86/loganalyzer | 19bba7c7dac1b5f6b73d8dce32d99406bfbaa85d | [
"MIT"
] | null | null | null | test_la.py | olgarogova86/loganalyzer | 19bba7c7dac1b5f6b73d8dce32d99406bfbaa85d | [
"MIT"
] | null | null | null | test_la.py | olgarogova86/loganalyzer | 19bba7c7dac1b5f6b73d8dce32d99406bfbaa85d | [
"MIT"
] | null | null | null | import unittest
import logging
from log_analyzer import *
import os
import imp
if __name__ == "__main__":
unittest.main() | 42.407942 | 274 | 0.49519 | import unittest
import logging
from log_analyzer import *
import os
import imp
class LogAnalyzerTest(unittest.TestCase):
@staticmethod
def create_files_for_test():
with open(
"test_config_ok.txt",
mode='w+',
encoding="utf-8") as test_file:
... | 2,230 | 9,355 | 25 |
cd43b342d0b091404a211c04b0d5a837c2d32045 | 2,773 | py | Python | Calibaration.py | wq13552463699/3D_Printed_2_Fingers_Gripper | 4b0aab18bac54e6862bc38e6ac7a0b5229ffe01d | [
"MIT"
] | 3 | 2021-11-02T10:48:52.000Z | 2021-11-25T02:14:44.000Z | Calibaration.py | wq13552463699/3D_Printed_2_Fingers_Gripper | 4b0aab18bac54e6862bc38e6ac7a0b5229ffe01d | [
"MIT"
] | null | null | null | Calibaration.py | wq13552463699/3D_Printed_2_Fingers_Gripper | 4b0aab18bac54e6862bc38e6ac7a0b5229ffe01d | [
"MIT"
] | null | null | null | from Robotic_Servos import *
import time
import sys
import pandas as pd
print("--------------------------------------------------------------------")
print("README")
print("The is the calibration function, help you to calibarate the gripper")
print("for different device. Stongly reconmmend you calibarate the g... | 36.486842 | 116 | 0.638298 | from Robotic_Servos import *
import time
import sys
import pandas as pd
print("--------------------------------------------------------------------")
print("README")
print("The is the calibration function, help you to calibarate the gripper")
print("for different device. Stongly reconmmend you calibarate the g... | 0 | 0 | 0 |
b8271594117334721ebed7650607ebd2032029b2 | 22,068 | py | Python | src/apiflask/scaffold.py | Farmer-chong/apiflask | a2bc208770a703bdf6ecabe2bb0ddbfce3015aab | [
"MIT"
] | null | null | null | src/apiflask/scaffold.py | Farmer-chong/apiflask | a2bc208770a703bdf6ecabe2bb0ddbfce3015aab | [
"MIT"
] | null | null | null | src/apiflask/scaffold.py | Farmer-chong/apiflask | a2bc208770a703bdf6ecabe2bb0ddbfce3015aab | [
"MIT"
] | null | null | null | import typing as t
import warnings
from collections.abc import Mapping as ABCMapping
from functools import wraps
from flask import current_app
from flask import jsonify
from flask import Response
from flask.views import MethodViewType
from marshmallow import ValidationError as MarshmallowValidationError
from webargs.f... | 37.214165 | 100 | 0.55909 | import typing as t
import warnings
from collections.abc import Mapping as ABCMapping
from functools import wraps
from flask import current_app
from flask import jsonify
from flask import Response
from flask.views import MethodViewType
from marshmallow import ValidationError as MarshmallowValidationError
from webargs.f... | 6,313 | 0 | 290 |
d7025517b649a6f69189b2de7d3a565d13475133 | 2,852 | py | Python | test/test_evaluation.py | Yifei-Liu/knee | 7c2c7092a2c2dc4c4dac5ebc3b623c5725e0339b | [
"MIT"
] | null | null | null | test/test_evaluation.py | Yifei-Liu/knee | 7c2c7092a2c2dc4c4dac5ebc3b623c5725e0339b | [
"MIT"
] | null | null | null | test/test_evaluation.py | Yifei-Liu/knee | 7c2c7092a2c2dc4c4dac5ebc3b623c5725e0339b | [
"MIT"
] | null | null | null | import math
import unittest
import numpy as np
import knee.evaluation as evaluation
if __name__ == '__main__':
unittest.main() | 35.209877 | 84 | 0.556101 | import math
import unittest
import numpy as np
import knee.evaluation as evaluation
class TestEvaluation(unittest.TestCase):
def test_mae_0(self):
points = np.array([[0,0], [1,1], [2,2]])
knees = np.array([0,1,2])
expected = np.array([[0,0], [1,1], [2,2]])
result = evaluation.mae(p... | 2,404 | 19 | 297 |
f4157fbbe6301964ab0dc2a49ae803eee6dc1a70 | 1,507 | py | Python | compoelem/detect/openpose_wrapper.py | tilman/compositional_elements | 45271196ed01d0515357c7abdf35d6b87f2036d5 | [
"MIT"
] | 2 | 2021-06-13T16:21:52.000Z | 2021-06-13T16:21:53.000Z | compoelem/detect/openpose_wrapper.py | tilman/compositional_elements | 45271196ed01d0515357c7abdf35d6b87f2036d5 | [
"MIT"
] | null | null | null | compoelem/detect/openpose_wrapper.py | tilman/compositional_elements | 45271196ed01d0515357c7abdf35d6b87f2036d5 | [
"MIT"
] | null | null | null | import argparse
from .openpose.lib.utils.common import Human
from typing import Sequence
import torch
import torch.nn as nn
from . import converter
from .openpose.lib.network.rtpose_vgg import get_model
from .openpose.evaluate.coco_eval import get_outputs
from .openpose.lib.utils.paf_to_pose import paf_to_pose_cpp
fro... | 33.488889 | 103 | 0.704711 | import argparse
from .openpose.lib.utils.common import Human
from typing import Sequence
import torch
import torch.nn as nn
from . import converter
from .openpose.lib.network.rtpose_vgg import get_model
from .openpose.evaluate.coco_eval import get_outputs
from .openpose.lib.utils.paf_to_pose import paf_to_pose_cpp
fro... | 226 | 0 | 23 |
b7f3cad9283f59f7ed3be01005cd36d5edaac206 | 20,097 | py | Python | Tensorflow/Inception/Trainer.py | BreastCancerAI/IDC-Classifier | cf75d97fd17e58ca8f47004928933f2972254a42 | [
"MIT"
] | 15 | 2018-08-09T03:40:58.000Z | 2019-07-08T08:47:44.000Z | Tensorflow/Inception/Trainer.py | AdamMiltonBarker/IDC-Classifier | a354effdf65e6461baf083eeb9737d51fc5e7cbd | [
"MIT"
] | null | null | null | Tensorflow/Inception/Trainer.py | AdamMiltonBarker/IDC-Classifier | a354effdf65e6461baf083eeb9737d51fc5e7cbd | [
"MIT"
] | 6 | 2018-08-09T03:41:17.000Z | 2019-03-17T16:49:34.000Z | from __future__ import print_function
############################################################################################
#
# The MIT License (MIT)
#
# Intel AI DevJam IDC Demo Classification Server
# Copyright (C) 2018 Adam Milton-Barker (AdamMiltonBarker.com)
#
# Permission is hereby granted, free of charg... | 43.5 | 218 | 0.665771 | from __future__ import print_function
############################################################################################
#
# The MIT License (MIT)
#
# Intel AI DevJam IDC Demo Classification Server
# Copyright (C) 2018 Adam Milton-Barker (AdamMiltonBarker.com)
#
# Permission is hereby granted, free of charg... | 11,112 | 5,623 | 69 |
1f2c40556d9a2e5c386f7f78d56c1324b2a9ed22 | 588 | py | Python | stapy/sta/entities/observation.py | zMoooooritz/STApy | 022183e0a35ba0d73b97986a695b2a1e6bd0c77c | [
"MIT"
] | 8 | 2021-09-02T18:53:19.000Z | 2022-03-10T13:40:57.000Z | stapy/sta/entities/observation.py | zMoooooritz/stapy | 022183e0a35ba0d73b97986a695b2a1e6bd0c77c | [
"MIT"
] | 20 | 2021-08-30T19:06:30.000Z | 2022-03-15T21:16:53.000Z | stapy/sta/entities/observation.py | zMoooooritz/stapy | 022183e0a35ba0d73b97986a695b2a1e6bd0c77c | [
"MIT"
] | null | null | null | from stapy.sta.time import Time
from stapy.sta.abstract_entity import AbstractEntity
# TODO resultQuality DQ_Element
| 30.947368 | 52 | 0.62415 | from stapy.sta.time import Time
from stapy.sta.abstract_entity import AbstractEntity
# TODO resultQuality DQ_Element
class Observation(AbstractEntity):
entry_map = {
"phenomenonTime": (True, True, Time),
"result": (True, True, object),
"resultTime": (False, True, Time),
"resultQuali... | 33 | 415 | 22 |
310857b0018e081679937b133dc6372333ac7766 | 9,280 | py | Python | d2bot/test/Non-RL.py | lenLRX/Dota2BotStepByStep | 3b6bebeb194bc9d4657947afa0776944dea24b84 | [
"MIT"
] | 11 | 2018-06-24T12:45:58.000Z | 2021-10-14T02:16:12.000Z | d2bot/test/Non-RL.py | lenLRX/Dota2BotStepByStep | 3b6bebeb194bc9d4657947afa0776944dea24b84 | [
"MIT"
] | null | null | null | d2bot/test/Non-RL.py | lenLRX/Dota2BotStepByStep | 3b6bebeb194bc9d4657947afa0776944dea24b84 | [
"MIT"
] | 3 | 2019-03-02T07:40:43.000Z | 2021-06-05T02:09:16.000Z | import d2bot.visualizer as visualizer
import d2bot.core.game_env as game_env
import d2bot.simulator as simulator
from d2bot.torch.a3c.ActorCritic import ActorCritic
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.autograd import Variable
import random
import ... | 27.867868 | 93 | 0.577047 | import d2bot.visualizer as visualizer
import d2bot.core.game_env as game_env
import d2bot.simulator as simulator
from d2bot.torch.a3c.ActorCritic import ActorCritic
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.autograd import Variable
import random
import ... | 8,072 | 30 | 562 |
f2f87fcca3b8d55be7da08d089431edd1729a2a7 | 1,654 | py | Python | dependency_tree.py | oriolmirosa/dash-recipes | c01372292d60c3fd8c1f3a47bca6330c2b268ba4 | [
"MIT"
] | 932 | 2017-07-08T06:37:23.000Z | 2022-03-31T11:10:07.000Z | dependency_tree.py | oriolmirosa/dash-recipes | c01372292d60c3fd8c1f3a47bca6330c2b268ba4 | [
"MIT"
] | 29 | 2018-02-06T20:09:58.000Z | 2021-08-24T06:01:11.000Z | dependency_tree.py | oriolmirosa/dash-recipes | c01372292d60c3fd8c1f3a47bca6330c2b268ba4 | [
"MIT"
] | 301 | 2017-09-25T16:16:41.000Z | 2022-03-24T23:48:59.000Z | import numpy as np
import dash
from dash.dependencies import Input, Output
from plotly.graph_objs import *
import dash_core_components as dcc
import dash_html_components as html
app = dash.Dash()
# function to plot
# default ranges for x0 & x1
xranges = [[0,1], [-np.pi, np.pi]]
# dropdown to pick which x to plot again... | 35.191489 | 90 | 0.646312 | import numpy as np
import dash
from dash.dependencies import Input, Output
from plotly.graph_objs import *
import dash_core_components as dcc
import dash_html_components as html
app = dash.Dash()
# function to plot
def func(x):
return x[:,0]**2 + np.sin(x[:,1])
# default ranges for x0 & x1
xranges = [[0,1], [-np.p... | 352 | 0 | 88 |
c7a9abf5053cd3d1b3e6bced909732c831680d81 | 5,522 | py | Python | datasets_process/get_counter_per_class.py | mumu0419/Python-data_analysis | f81d5d439801dc3668e6a6fc925a73b0aa8750ff | [
"MIT"
] | 1 | 2020-12-01T09:06:35.000Z | 2020-12-01T09:06:35.000Z | datasets_process/get_counter_per_class.py | mumu0419/Python-data_analysis | f81d5d439801dc3668e6a6fc925a73b0aa8750ff | [
"MIT"
] | null | null | null | datasets_process/get_counter_per_class.py | mumu0419/Python-data_analysis | f81d5d439801dc3668e6a6fc925a73b0aa8750ff | [
"MIT"
] | null | null | null | '''
统计标注类别和各类别数量
2020.4.21
'''
import operator
import sys
import argparse
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签
path = 'D:\wsm\pycharm_pjs\data-analysis\scripts\\traffic_anno.txt' #标注txt文件路径
results_files_path = 'D:\wsm\pycharm_pjs\data-analysis\scripts\... | 33.26506 | 124 | 0.659906 | '''
统计标注类别和各类别数量
2020.4.21
'''
import operator
import sys
import argparse
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签
path = 'D:\wsm\pycharm_pjs\data-analysis\scripts\\traffic_anno.txt' #标注txt文件路径
results_files_path = 'D:\wsm\pycharm_pjs\data-analysis\scripts\... | 3,781 | 0 | 46 |
9be070e9c3789d14b959cd841911b74851dac19f | 302 | py | Python | summation_of_primes/python/summation_of_primes.py | ncovercash/sample_projects | 7cfd77e8f20fa1a67b0ed7957f9b2b49cb5f5dac | [
"MIT"
] | 1 | 2017-03-31T14:42:36.000Z | 2017-03-31T14:42:36.000Z | summation_of_primes/python/summation_of_primes.py | smileytechguy/sample_projects | 7cfd77e8f20fa1a67b0ed7957f9b2b49cb5f5dac | [
"MIT"
] | 1 | 2020-03-21T05:51:19.000Z | 2020-03-21T05:51:19.000Z | summation_of_primes/python/summation_of_primes.py | ncovercash/sample_projects | 7cfd77e8f20fa1a67b0ed7957f9b2b49cb5f5dac | [
"MIT"
] | 1 | 2018-10-23T10:57:08.000Z | 2018-10-23T10:57:08.000Z | import math
max = 2000000
primes = [2]
for i in xrange(3,max,2):
prime = True
limit = math.ceil(math.sqrt(i)) # tip from SO
for j in xrange(3, int(limit)+1, 2):
if prime:
if i % j == 0:
prime = False
if prime:
primes.append(i)
sum = 0
for prime in primes:
sum += prime;
print sum;
| 13.727273 | 46 | 0.612583 | import math
max = 2000000
primes = [2]
for i in xrange(3,max,2):
prime = True
limit = math.ceil(math.sqrt(i)) # tip from SO
for j in xrange(3, int(limit)+1, 2):
if prime:
if i % j == 0:
prime = False
if prime:
primes.append(i)
sum = 0
for prime in primes:
sum += prime;
print sum;
| 0 | 0 | 0 |
d9365d7de5ef088acc5c1dbada1888d46dd9b611 | 914 | py | Python | my_study/sys_study/oneos.py | zhangyage/Python-oldboy | a95c1b465929e2be641e425fcb5e15b366800831 | [
"Apache-2.0"
] | 1 | 2020-06-04T08:44:09.000Z | 2020-06-04T08:44:09.000Z | my_study/sys_study/oneos.py | zhangyage/Python-oldboy | a95c1b465929e2be641e425fcb5e15b366800831 | [
"Apache-2.0"
] | null | null | null | my_study/sys_study/oneos.py | zhangyage/Python-oldboy | a95c1b465929e2be641e425fcb5e15b366800831 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import os
#查看操作系统
print os.name
#获取工作目录
print os.getcwd()
#获取某个目录下的所有文件名
print os.listdir('E:\workspace\Python-oldboy')
#运行一个shell命令 调用计算器
# os.system("calc")
#删除某个文件
#os.remove("E:\workspace\Python-oldboy\my_study\sys_study")
#判断是文件还是文件夹
print ... | 26.882353 | 79 | 0.714442 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import os
#查看操作系统
print os.name
#获取工作目录
print os.getcwd()
#获取某个目录下的所有文件名
print os.listdir('E:\workspace\Python-oldboy')
#运行一个shell命令 调用计算器
# os.system("calc")
#删除某个文件
#os.remove("E:\workspace\Python-oldboy\my_study\sys_study")
#判断是文件还是文件夹
print ... | 0 | 0 | 0 |
a0a8a1163d4425922eb4c83ff3a2dd05050764f8 | 9,470 | py | Python | tests/helpers/test_cmd.py | lucasvieirasilva/aws-codeartifact-poetry | ad224f8e403373bc6336d362ce11ba84c2bad616 | [
"MIT"
] | null | null | null | tests/helpers/test_cmd.py | lucasvieirasilva/aws-codeartifact-poetry | ad224f8e403373bc6336d362ce11ba84c2bad616 | [
"MIT"
] | null | null | null | tests/helpers/test_cmd.py | lucasvieirasilva/aws-codeartifact-poetry | ad224f8e403373bc6336d362ce11ba84c2bad616 | [
"MIT"
] | null | null | null | """aws_codeartifact_poetry.helpers.cmd unit tests."""
import os
import subprocess
import sys
from unittest.mock import MagicMock, patch
import pytest
from _pytest.logging import LogCaptureFixture
from aws_codeartifact_poetry.helpers.catch_exceptions import CLIError
from aws_codeartifact_poetry.helpers.cmd import exe... | 36.992188 | 107 | 0.564942 | """aws_codeartifact_poetry.helpers.cmd unit tests."""
import os
import subprocess
import sys
from unittest.mock import MagicMock, patch
import pytest
from _pytest.logging import LogCaptureFixture
from aws_codeartifact_poetry.helpers.catch_exceptions import CLIError
from aws_codeartifact_poetry.helpers.cmd import exe... | 0 | 0 | 0 |
2c47de5b76b6c54b316d8474d4ada4ab32ab4b83 | 7,171 | py | Python | servers/genesis/builder.py | peterhajas/Genesis | 2f1a03c38934b892ee6bb04e07e867bf463b7ae5 | [
"0BSD"
] | 7 | 2015-07-06T02:36:54.000Z | 2017-08-10T14:28:01.000Z | servers/genesis/builder.py | peterhajas/Genesis | 2f1a03c38934b892ee6bb04e07e867bf463b7ae5 | [
"0BSD"
] | 1 | 2021-03-25T22:30:40.000Z | 2021-03-25T22:30:40.000Z | servers/genesis/builder.py | peterhajas/Genesis | 2f1a03c38934b892ee6bb04e07e867bf463b7ae5 | [
"0BSD"
] | 2 | 2015-03-23T22:45:46.000Z | 2015-12-22T11:30:02.000Z | import os
import mimetypes
import fnmatch
import yaml
from genesis.shell import ShellProxy, ProcessQuery
from genesis.utils import expand, is_windows
from genesis.config import load_yaml
from genesis.scm import get_scm
# TODO: simplify here
| 30.130252 | 117 | 0.619858 | import os
import mimetypes
import fnmatch
import yaml
from genesis.shell import ShellProxy, ProcessQuery
from genesis.utils import expand, is_windows
from genesis.config import load_yaml
from genesis.scm import get_scm
# TODO: simplify here
class IgnoreList(object):
def __init__(self, ignored):
self.ig... | 4,859 | 1,891 | 172 |
be736746afe8eca23cd41c79204de3296f3b8f02 | 1,171 | py | Python | alipay/aop/api/response/AlipaySecurityRiskHufuAuthQueryResponse.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/response/AlipaySecurityRiskHufuAuthQueryResponse.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/response/AlipaySecurityRiskHufuAuthQueryResponse.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import simplejson as json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
| 25.456522 | 112 | 0.641332 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import simplejson as json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class AlipaySecurityRiskHufuAuthQueryResponse(AlipayResponse):
def __init__(self):
super(AlipaySecurityRiskHufuAuthQueryResponse, self).__init__()
self._seria... | 659 | 349 | 23 |
10948e902dc363f8c5e4c3ca350f3b8613e4a2d6 | 790 | py | Python | Challenge1/main.py | Gerifield/websocket-smuggle | 3541c358c431aad5f26452538a561b79ff682750 | [
"MIT"
] | 284 | 2019-11-02T16:47:48.000Z | 2022-03-29T10:06:39.000Z | Challenge1/main.py | Gerifield/websocket-smuggle | 3541c358c431aad5f26452538a561b79ff682750 | [
"MIT"
] | 2 | 2019-12-04T08:58:34.000Z | 2020-08-06T01:48:21.000Z | Challenge1/main.py | Gerifield/websocket-smuggle | 3541c358c431aad5f26452538a561b79ff682750 | [
"MIT"
] | 38 | 2019-11-02T16:50:21.000Z | 2022-02-25T02:26:02.000Z | #!/usr/bin/python
from flask import Flask, render_template
from flask_socketio import SocketIO
from flask_restful import Resource, Api
app = Flask(__name__)
api = Api(app)
socketio = SocketIO(app, cors_allowed_origins="*")
@app.route('/')
api.add_resource(Flag, '/flag')
api.add_resource(InternalAPI, '/api/inte... | 19.268293 | 63 | 0.689873 | #!/usr/bin/python
from flask import Flask, render_template
from flask_socketio import SocketIO
from flask_restful import Resource, Api
app = Flask(__name__)
api = Api(app)
socketio = SocketIO(app, cors_allowed_origins="*")
@app.route('/')
def index():
return render_template('index.html')
class InternalAPI(Re... | 206 | 7 | 142 |
7bf9552b9207305bce3606b8880dc37e9726ca8f | 457 | py | Python | rtsdrl/mathcore.py | AI-Guru/RTSDRL | b229f8d7b6ebcee36fd55e2a69fc988b37a20254 | [
"BSD-3-Clause"
] | null | null | null | rtsdrl/mathcore.py | AI-Guru/RTSDRL | b229f8d7b6ebcee36fd55e2a69fc988b37a20254 | [
"BSD-3-Clause"
] | null | null | null | rtsdrl/mathcore.py | AI-Guru/RTSDRL | b229f8d7b6ebcee36fd55e2a69fc988b37a20254 | [
"BSD-3-Clause"
] | null | null | null | import math
import numpy as np
| 22.85 | 65 | 0.617068 | import math
import numpy as np
def vector_from_angle_and_length(angle, length):
vector = (length * math.sin(angle), length * math.cos(angle))
vector = np.array(vector)
return vector
def polar_coordinates(x, y):
angle = math.atan2(x, y)
if angle < 0.0:
angle += 2.0 * math.pi
length = m... | 355 | 0 | 69 |
807a5780507112b5e159e40fc891bd6dd97e9017 | 138 | py | Python | examples/docs_snippets/docs_snippets_tests/concepts_tests/io_management_tests/test_load_from_config.py | rpatil524/dagster | 6f918d94cbd543ab752ab484a65e3a40fd441716 | [
"Apache-2.0"
] | 1 | 2021-01-31T19:16:29.000Z | 2021-01-31T19:16:29.000Z | examples/docs_snippets/docs_snippets_tests/concepts_tests/io_management_tests/test_load_from_config.py | rpatil524/dagster | 6f918d94cbd543ab752ab484a65e3a40fd441716 | [
"Apache-2.0"
] | null | null | null | examples/docs_snippets/docs_snippets_tests/concepts_tests/io_management_tests/test_load_from_config.py | rpatil524/dagster | 6f918d94cbd543ab752ab484a65e3a40fd441716 | [
"Apache-2.0"
] | 1 | 2019-09-11T03:02:27.000Z | 2019-09-11T03:02:27.000Z | from docs_snippets.concepts.io_management.load_from_config import execute_with_config
| 23 | 85 | 0.847826 | from docs_snippets.concepts.io_management.load_from_config import execute_with_config
def test_execute_job():
execute_with_config()
| 28 | 0 | 23 |
d9cf514f3a64cd53c79d6e2b597170f2805f5843 | 941 | py | Python | backend/app/app/api/api_v1/endpoints/utils.py | Pinafore/Karl-flashcards-web-app | 2f4d9925c545f83eb3289dfef85d9b0bf9bfeb8c | [
"Apache-2.0"
] | 7 | 2020-09-13T06:06:32.000Z | 2021-11-15T11:37:16.000Z | backend/app/app/api/api_v1/endpoints/utils.py | Pinafore/Karl-flashcards-web-app | 2f4d9925c545f83eb3289dfef85d9b0bf9bfeb8c | [
"Apache-2.0"
] | 16 | 2020-08-28T20:38:27.000Z | 2021-03-18T04:03:00.000Z | backend/app/app/api/api_v1/endpoints/utils.py | Pinafore/Karl-flashcards-web-app | 2f4d9925c545f83eb3289dfef85d9b0bf9bfeb8c | [
"Apache-2.0"
] | null | null | null | from typing import Any
from app import models, schemas
from app.api import deps
from app.core.celery_app import celery_app
from app.utils.utils import send_test_email
from fastapi import APIRouter, Depends
from pydantic.networks import EmailStr
router = APIRouter()
@router.post("/test-celery/", response_model=schem... | 26.885714 | 79 | 0.712009 | from typing import Any
from app import models, schemas
from app.api import deps
from app.core.celery_app import celery_app
from app.utils.utils import send_test_email
from fastapi import APIRouter, Depends
from pydantic.networks import EmailStr
router = APIRouter()
@router.post("/test-celery/", response_model=schem... | 0 | 0 | 0 |
01ad6f5244ddd28d391f605c62bcb75f67862871 | 1,246 | py | Python | aceclient/clientcounter.py | sergelevin/aceproxy | bdd9283426ebb4431c48ede3f43a2245f2644ff1 | [
"MIT"
] | 182 | 2015-01-25T09:43:55.000Z | 2021-10-20T02:47:45.000Z | aceclient/clientcounter.py | sergelevin/aceproxy | bdd9283426ebb4431c48ede3f43a2245f2644ff1 | [
"MIT"
] | 39 | 2015-01-02T18:25:47.000Z | 2018-05-20T15:01:03.000Z | aceclient/clientcounter.py | sergelevin/aceproxy | bdd9283426ebb4431c48ede3f43a2245f2644ff1 | [
"MIT"
] | 120 | 2015-01-07T00:59:21.000Z | 2022-03-17T10:37:42.000Z | '''
Simple Client Counter for VLC VLM
'''
| 22.25 | 48 | 0.500803 | '''
Simple Client Counter for VLC VLM
'''
class ClientCounter(object):
def __init__(self):
self.clients = dict()
self.aces = dict()
self.total = 0
def get(self, id):
return self.clients.get(id, (False,))[0]
def add(self, id, ip):
if self.clients.has_key(id):
... | 984 | 7 | 212 |
793a5efcd180daeef2d43cb9b39b2ee7f68c98ad | 1,379 | py | Python | setup.py | swoopyy/dask-pipes | 2a4be29e428b330623a7cfd1f9245e17b0a51fda | [
"MIT"
] | 1 | 2019-12-12T18:23:25.000Z | 2019-12-12T18:23:25.000Z | setup.py | swoopyy/dask-pipes | 2a4be29e428b330623a7cfd1f9245e17b0a51fda | [
"MIT"
] | null | null | null | setup.py | swoopyy/dask-pipes | 2a4be29e428b330623a7cfd1f9245e17b0a51fda | [
"MIT"
] | null | null | null | import importlib
import os
import io
import logging
from setuptools import setup, find_packages
from typing import List
import pathlib
PARENT = pathlib.Path(__file__).parent
logger = logging.getLogger(__name__)
# Kept manually in sync with dask_pipes.__version__
# noinspection PyUnresolvedReferences
spec = importlib... | 27.039216 | 95 | 0.68963 | import importlib
import os
import io
import logging
from setuptools import setup, find_packages
from typing import List
import pathlib
PARENT = pathlib.Path(__file__).parent
logger = logging.getLogger(__name__)
# Kept manually in sync with dask_pipes.__version__
# noinspection PyUnresolvedReferences
spec = importlib... | 546 | 0 | 46 |
c2e1150cf4ae0e085212327cc80e2ce40f2d8ab0 | 5,297 | py | Python | tests/conftest.py | nismod/energy_demand | 247fcea074a846026710ed9b039b22f8b9835643 | [
"MIT"
] | 14 | 2018-02-23T10:03:45.000Z | 2022-03-03T13:59:30.000Z | tests/conftest.py | nismod/energy_demand | 247fcea074a846026710ed9b039b22f8b9835643 | [
"MIT"
] | 59 | 2017-02-22T15:03:30.000Z | 2020-12-16T12:26:17.000Z | tests/conftest.py | nismod/energy_demand | 247fcea074a846026710ed9b039b22f8b9835643 | [
"MIT"
] | 5 | 2017-08-22T11:31:42.000Z | 2020-06-24T18:30:12.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Dummy conftest.py for energy_demand.
If you don't know what this is for, just leave it empty.
Read more about conftest.py under:
https://pytest.org/latest/plugins.html
"""
from __future__ import absolute_import, division, print_function
from pytest imp... | 50.447619 | 147 | 0.871814 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Dummy conftest.py for energy_demand.
If you don't know what this is for, just leave it empty.
Read more about conftest.py under:
https://pytest.org/latest/plugins.html
"""
from __future__ import absolute_import, division, print_function
from pytest imp... | 4,914 | 0 | 22 |
5701e722487411fa3e060fad1f184a3bcbc85256 | 1,630 | py | Python | Bootstrapping.py | marcovaas/uclametrics | be321933bcc6416424512e94aae3a4a780813b4d | [
"MIT"
] | null | null | null | Bootstrapping.py | marcovaas/uclametrics | be321933bcc6416424512e94aae3a4a780813b4d | [
"MIT"
] | null | null | null | Bootstrapping.py | marcovaas/uclametrics | be321933bcc6416424512e94aae3a4a780813b4d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 26 18:33:09 2022
@author: marco
"""
import pandas as pd
import numpy as np
import random
import math
import os
from scipy.linalg import pinv as inv
from sklearn.linear_model import Lasso
from sklearn.linear_model import LassoCV
import matplotlib.pyplot as ... | 28.103448 | 102 | 0.596319 | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 26 18:33:09 2022
@author: marco
"""
import pandas as pd
import numpy as np
import random
import math
import os
from scipy.linalg import pinv as inv
from sklearn.linear_model import Lasso
from sklearn.linear_model import LassoCV
import matplotlib.pyplot as ... | 827 | 0 | 48 |
ed12d0cbb78972864309087cd934535298b1aaae | 228 | py | Python | bmsSenderDummyData.py | clean-code-craft-tcq-1/stream-bms-data-karippalrohith | 7581a4a84e85ec22864e7a181f74b4baee6ae5bb | [
"MIT"
] | null | null | null | bmsSenderDummyData.py | clean-code-craft-tcq-1/stream-bms-data-karippalrohith | 7581a4a84e85ec22864e7a181f74b4baee6ae5bb | [
"MIT"
] | null | null | null | bmsSenderDummyData.py | clean-code-craft-tcq-1/stream-bms-data-karippalrohith | 7581a4a84e85ec22864e7a181f74b4baee6ae5bb | [
"MIT"
] | 1 | 2021-06-15T12:52:34.000Z | 2021-06-15T12:52:34.000Z | import random
import json
for i in range(10):
# print("\n{\"Temperature\":{},\"SOC\":{}}\n".format(48.00, 58.00));
print(json.dumps({'Temperature':random.randint(10,100), 'SOC':random.randint(10,100)}))
| 28.5 | 92 | 0.587719 | import random
import json
for i in range(10):
# print("\n{\"Temperature\":{},\"SOC\":{}}\n".format(48.00, 58.00));
print(json.dumps({'Temperature':random.randint(10,100), 'SOC':random.randint(10,100)}))
| 0 | 0 | 0 |
9cea8902face673bf6b7c9672cec7ec939ed9a53 | 787 | py | Python | src/data/575.py | NULLCT/LOMC | 79a16474a8f21310e0fb47e536d527dd5dc6d655 | [
"MIT"
] | null | null | null | src/data/575.py | NULLCT/LOMC | 79a16474a8f21310e0fb47e536d527dd5dc6d655 | [
"MIT"
] | null | null | null | src/data/575.py | NULLCT/LOMC | 79a16474a8f21310e0fb47e536d527dd5dc6d655 | [
"MIT"
] | null | null | null | import sys
sys.setrecursionlimit(10**6)
N, Q = map(int, input().split())
ab = [[int(i) for i in input().split()] for _ in range(N - 1)]
cd = [[int(i) for i in input().split()] for _ in range(Q)]
G = [[] for _ in range(N)]
for a, b in ab:
G[a - 1].append(b - 1)
G[b - 1].append(a - 1)
#Euler tour
vs = [-1] * (... | 21.27027 | 74 | 0.462516 | import sys
sys.setrecursionlimit(10**6)
N, Q = map(int, input().split())
ab = [[int(i) for i in input().split()] for _ in range(N - 1)]
cd = [[int(i) for i in input().split()] for _ in range(Q)]
G = [[] for _ in range(N)]
for a, b in ab:
G[a - 1].append(b - 1)
G[b - 1].append(a - 1)
#Euler tour
vs = [-1] * (... | 222 | 0 | 23 |
f208e3c47cc674a3755c6e7f5151dfbf26d6144d | 8,328 | py | Python | src/amuse/test/suite/core_tests/test_pickle.py | UniExeterRSE/amuse | b81504ffa12fced1b94e0014df8610a1d363c10f | [
"Apache-2.0"
] | null | null | null | src/amuse/test/suite/core_tests/test_pickle.py | UniExeterRSE/amuse | b81504ffa12fced1b94e0014df8610a1d363c10f | [
"Apache-2.0"
] | 12 | 2021-11-15T09:13:03.000Z | 2022-02-02T14:53:04.000Z | src/amuse/test/suite/core_tests/test_pickle.py | UniExeterRSE/amuse | b81504ffa12fced1b94e0014df8610a1d363c10f | [
"Apache-2.0"
] | null | null | null | from amuse.test import amusetest
import pickle
from amuse.support.exceptions import AmuseException
from amuse.units import core
from amuse.units import si
from amuse.units import nbody_system
from amuse.units import generic_unit_system
from amuse.units.quantities import zero
from amuse.units.units import *
from amus... | 34.991597 | 118 | 0.62488 | from amuse.test import amusetest
import pickle
from amuse.support.exceptions import AmuseException
from amuse.units import core
from amuse.units import si
from amuse.units import nbody_system
from amuse.units import generic_unit_system
from amuse.units.quantities import zero
from amuse.units.units import *
from amus... | 7,047 | 108 | 625 |
bb58999e39b1a02a306c7d509378e3240c9bd06d | 6,219 | py | Python | east/layers/models.py | embracesource-cv-com/keras-east | 0733a9a99c4446a30c8b8e1d62e102391f7a854a | [
"Apache-2.0"
] | 12 | 2019-04-01T01:58:13.000Z | 2019-12-10T02:54:18.000Z | east/layers/models.py | embracesource-cv-com/keras-east | 0733a9a99c4446a30c8b8e1d62e102391f7a854a | [
"Apache-2.0"
] | 5 | 2019-04-22T16:00:02.000Z | 2020-08-12T07:03:05.000Z | east/layers/models.py | embracesource-cv-com/keras-east | 0733a9a99c4446a30c8b8e1d62e102391f7a854a | [
"Apache-2.0"
] | 1 | 2019-05-24T11:34:44.000Z | 2019-05-24T11:34:44.000Z | # -*- coding: utf-8 -*-
"""
File Name： model
Description : 模型层
Author : mick.yi
date： 2019/4/1
"""
import keras
from keras import layers, Input, Model
import tensorflow as tf
from east.layers.base_net import resnet50
from east.layers.losses import balanced_cross_entropy, iou_lo... | 37.920732 | 117 | 0.64512 | # -*- coding: utf-8 -*-
"""
File Name： model
Description : 模型层
Author : mick.yi
date： 2019/4/1
"""
import keras
from keras import layers, Input, Model
import tensorflow as tf
from east.layers.base_net import resnet50
from east.layers.losses import balanced_cross_entropy, iou_lo... | 1,884 | 0 | 25 |
100f447f26906933640b8f3527dd2ac4cc199741 | 436 | py | Python | bihgpy/betabinomial.py | pedroramaciotti/BIHGPy | 6b5be54deb89cdbffa4e2bddf5f7c4553742ffa2 | [
"MIT"
] | null | null | null | bihgpy/betabinomial.py | pedroramaciotti/BIHGPy | 6b5be54deb89cdbffa4e2bddf5f7c4553742ffa2 | [
"MIT"
] | null | null | null | bihgpy/betabinomial.py | pedroramaciotti/BIHGPy | 6b5be54deb89cdbffa4e2bddf5f7c4553742ffa2 | [
"MIT"
] | null | null | null | from scipy.special import comb
from scipy.special import beta as betafunc
import numpy as np
| 21.8 | 85 | 0.688073 | from scipy.special import comb
from scipy.special import beta as betafunc
import numpy as np
def alpha(mean,var):
return mean*mean*((1-mean)/var-1/mean);
def beta(mean,var):
return alpha(mean,var)*(1/mean-1);
def beta_binomial(N,a,b):
K_dom = np.arange(0,N+1)
K_img = np.zeros(K_dom.size)
for i,K in enumerate(... | 274 | 0 | 69 |
1e3a112d31066b788dc27d12fd5c5022d08451b2 | 4,018 | py | Python | oocran/django/oocran/settings.py | howls90/oocran | 9951f3ff752f9f6517a4d016476c1d1e2bb44a4d | [
"Apache-2.0",
"BSD-3-Clause"
] | 3 | 2018-12-12T10:32:16.000Z | 2022-02-07T19:46:10.000Z | oocran/django/oocran/settings.py | howls90/oocran | 9951f3ff752f9f6517a4d016476c1d1e2bb44a4d | [
"Apache-2.0",
"BSD-3-Clause"
] | 1 | 2017-06-16T08:16:57.000Z | 2017-06-16T09:45:28.000Z | oocran/django/oocran/settings.py | howls90/OOCRAN | 9951f3ff752f9f6517a4d016476c1d1e2bb44a4d | [
"Apache-2.0",
"BSD-3-Clause"
] | 6 | 2017-05-29T03:34:23.000Z | 2022-02-07T19:46:11.000Z | import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
PROJECT_ROOT = os.path.dirname(os.path.abspath(__file__))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.9/... | 25.43038 | 91 | 0.669985 | import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
PROJECT_ROOT = os.path.dirname(os.path.abspath(__file__))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.9/... | 0 | 0 | 0 |
d47e94bf1a45227e99e512e32b5070c0ff25a395 | 9,944 | py | Python | orangehackathon/widgets/lineplot.py | e-mental-health/orange-hackathon | ff4ece2495fb47599e61e634f94b55c4f5692b0f | [
"Apache-2.0"
] | 1 | 2022-01-06T16:48:07.000Z | 2022-01-06T16:48:07.000Z | orangehackathon/widgets/lineplot.py | e-mental-health/orange-hackathon | ff4ece2495fb47599e61e634f94b55c4f5692b0f | [
"Apache-2.0"
] | 4 | 2019-08-30T17:28:11.000Z | 2022-02-01T08:06:08.000Z | orangehackathon/widgets/lineplot.py | e-mental-health/orange-hackathon | ff4ece2495fb47599e61e634f94b55c4f5692b0f | [
"Apache-2.0"
] | 1 | 2019-08-30T11:06:20.000Z | 2019-08-30T11:06:20.000Z | import re
import sys
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
# alternatives: seaborn, plotnine,
from PyQt5.QtCore import Qt,pyqtSignal
from PyQt5.QtWidgets import QFormLayout
from Orange.widgets.widget import OWWidget, Input
from Orange.widg... | 44.591928 | 147 | 0.621078 | import re
import sys
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
# alternatives: seaborn, plotnine,
from PyQt5.QtCore import Qt,pyqtSignal
from PyQt5.QtWidgets import QFormLayout
from Orange.widgets.widget import OWWidget, Input
from Orange.widg... | 8,492 | 999 | 23 |
89b007824d01089c838fcd8c26342e4c5c8867cf | 49,367 | py | Python | src/interface/Python/paramonte/vis/LineScatterPlot.py | shahmoradi/paramonte-1 | 77c81c14e475bfacb19fa6de1f41629380e453d3 | [
"MIT"
] | null | null | null | src/interface/Python/paramonte/vis/LineScatterPlot.py | shahmoradi/paramonte-1 | 77c81c14e475bfacb19fa6de1f41629380e453d3 | [
"MIT"
] | null | null | null | src/interface/Python/paramonte/vis/LineScatterPlot.py | shahmoradi/paramonte-1 | 77c81c14e475bfacb19fa6de1f41629380e453d3 | [
"MIT"
] | 1 | 2020-09-19T03:45:07.000Z | 2020-09-19T03:45:07.000Z | ####################################################################################################################################
####################################################################################################################################
####
#### MIT License
####
#### ParaMonte: plain p... | 45.166514 | 166 | 0.430814 | ####################################################################################################################################
####################################################################################################################################
####
#### MIT License
####
#### ParaMonte: plain p... | 2,503 | 0 | 81 |
067504a01da9ec318e0dbd9bd3df5b19eaa8c016 | 6,351 | py | Python | roles/custom_module/library/ibm_ss_cluster.py | dheren-git/ibm-spectrum-scale-install-infra | 21f86774a09d9c36fba1ca75e489c9d4b99768d3 | [
"Apache-2.0"
] | null | null | null | roles/custom_module/library/ibm_ss_cluster.py | dheren-git/ibm-spectrum-scale-install-infra | 21f86774a09d9c36fba1ca75e489c9d4b99768d3 | [
"Apache-2.0"
] | null | null | null | roles/custom_module/library/ibm_ss_cluster.py | dheren-git/ibm-spectrum-scale-install-infra | 21f86774a09d9c36fba1ca75e489c9d4b99768d3 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# author: IBM Corporation
# description: Highly-customizable Ansible module
# for installing and configuring IBM Spectrum Scale (GPFS)
# company: IBM
# license: Apache-2.0
ANSIBLE_METADATA = {
'status': ['preview'],
'supported_by... | 30.38756 | 93 | 0.534876 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# author: IBM Corporation
# description: Highly-customizable Ansible module
# for installing and configuring IBM Spectrum Scale (GPFS)
# company: IBM
# license: Apache-2.0
ANSIBLE_METADATA = {
'status': ['preview'],
'supported_by... | 3,395 | 0 | 92 |
140f592268d8d602432a1c2e2ee6848f46a1e781 | 4,131 | py | Python | bbKnapsack.py | LangchunSi/0-1-Knapsack-problem | 48cf5c65fe6139c585bc31fe16a245eec592e805 | [
"Unlicense"
] | null | null | null | bbKnapsack.py | LangchunSi/0-1-Knapsack-problem | 48cf5c65fe6139c585bc31fe16a245eec592e805 | [
"Unlicense"
] | null | null | null | bbKnapsack.py | LangchunSi/0-1-Knapsack-problem | 48cf5c65fe6139c585bc31fe16a245eec592e805 | [
"Unlicense"
] | null | null | null | # Branch and bound method
import queue
class Node:
'''
upbound: upbound value of node
value: value of current node
weight: weight of current node
level: level number of the current node on the subset tree
'''
upbound = 0
value = 0
weight = 0
level = 0
class ... | 30.828358 | 103 | 0.506657 | # Branch and bound method
import queue
class Node:
'''
upbound: upbound value of node
value: value of current node
weight: weight of current node
level: level number of the current node on the subset tree
'''
upbound = 0
value = 0
weight = 0
level = 0
def ... | 2,949 | 0 | 172 |
c27adb36ef98cd03b956b8db80176e513a8fb706 | 464 | py | Python | demos/scope_vrml_test.py | isuthermography/spatialnde | 983de2e68139c33ab5eb8df59ac0aaa84bad096a | [
"Apache-2.0"
] | null | null | null | demos/scope_vrml_test.py | isuthermography/spatialnde | 983de2e68139c33ab5eb8df59ac0aaa84bad096a | [
"Apache-2.0"
] | null | null | null | demos/scope_vrml_test.py | isuthermography/spatialnde | 983de2e68139c33ab5eb8df59ac0aaa84bad096a | [
"Apache-2.0"
] | null | null | null | import numpy as np
import dataguzzler as dg
import dg_metadata as dgm
import dg_file as dgf
fin = "/home/linuxadm/usr_local/src/freecad-git032314/build/data/Mod/Robot/Lib/Kuka/kr125_3.wrl"
fout = "/tmp/robot.dgs"
wfmdict={}
fh=open(fin,"r");
wfmdict["robot"]=dg.wfminfo()
wfmdict["robot"].Name="robot"
wfmdict["rob... | 21.090909 | 96 | 0.737069 | import numpy as np
import dataguzzler as dg
import dg_metadata as dgm
import dg_file as dgf
fin = "/home/linuxadm/usr_local/src/freecad-git032314/build/data/Mod/Robot/Lib/Kuka/kr125_3.wrl"
fout = "/tmp/robot.dgs"
wfmdict={}
fh=open(fin,"r");
wfmdict["robot"]=dg.wfminfo()
wfmdict["robot"].Name="robot"
wfmdict["rob... | 0 | 0 | 0 |
c67cb4a02a3fac12aac6f7b9bd93974e4fcc1b34 | 243 | py | Python | setup.py | manics/napari-omero | e1964cb4e44dfd84f7cc43f37c0c795f98339c2a | [
"BSD-3-Clause"
] | 23 | 2020-06-23T01:28:33.000Z | 2022-01-22T13:36:21.000Z | setup.py | manics/napari-omero | e1964cb4e44dfd84f7cc43f37c0c795f98339c2a | [
"BSD-3-Clause"
] | 29 | 2020-06-24T00:58:50.000Z | 2022-02-02T12:46:55.000Z | setup.py | manics/napari-omero | e1964cb4e44dfd84f7cc43f37c0c795f98339c2a | [
"BSD-3-Clause"
] | 7 | 2020-06-23T11:28:39.000Z | 2022-02-03T06:51:38.000Z | from setuptools import setup, find_packages
setup(
package_dir={"": "src"},
packages=find_packages("src") + ['omero.plugins'],
use_scm_version={"write_to": "src/napari_omero/_version.py"},
setup_requires=["setuptools_scm"],
)
| 27 | 65 | 0.695473 | from setuptools import setup, find_packages
setup(
package_dir={"": "src"},
packages=find_packages("src") + ['omero.plugins'],
use_scm_version={"write_to": "src/napari_omero/_version.py"},
setup_requires=["setuptools_scm"],
)
| 0 | 0 | 0 |
c350ddd466fedbe443d442a3d40d88864309e621 | 1,076 | py | Python | 2020/Python/day09/part2.py | tymscar/Advent-Of-Code | cd7b96b0253191e236bd704b0d8b5540fb3e8ef6 | [
"MIT"
] | 4 | 2019-12-08T08:20:53.000Z | 2021-12-17T12:04:11.000Z | 2020/Python/day09/part2.py | tymscar/AdventOfCode2018 | 9742ddb6bbbc917062baad87d6b6de75375f1ae8 | [
"MIT"
] | null | null | null | 2020/Python/day09/part2.py | tymscar/AdventOfCode2018 | 9742ddb6bbbc917062baad87d6b6de75375f1ae8 | [
"MIT"
] | 4 | 2020-12-11T22:10:24.000Z | 2021-12-25T22:39:05.000Z |
print(part_2())
| 25.023256 | 85 | 0.597584 | def two_num_sum(arr, start, end, find):
for i in range(start, end + 1):
complement = find - arr[i]
if complement != arr[i] and complement in arr[start:end + 1]:
return True
return False
def find_bad_num_index(arr):
file = open('input.txt', 'r')
for line in file:
li... | 964 | 0 | 91 |
2795b922566833e3fee13765e73b9b758e105780 | 3,176 | py | Python | main.py | Philipnah/Corona-Discord-Bot | 12b3b267c627ffbcb06f859b6370c0ebdef32a88 | [
"Apache-2.0"
] | null | null | null | main.py | Philipnah/Corona-Discord-Bot | 12b3b267c627ffbcb06f859b6370c0ebdef32a88 | [
"Apache-2.0"
] | null | null | null | main.py | Philipnah/Corona-Discord-Bot | 12b3b267c627ffbcb06f859b6370c0ebdef32a88 | [
"Apache-2.0"
] | 2 | 2020-04-01T11:10:05.000Z | 2020-04-21T08:29:13.000Z | import requests
import lxml
from bs4 import BeautifulSoup
import discord
import os
token = os.environ.get("S3_KEY")
webpage = "https://www.worldometers.info/coronavirus/"
# ------------- start data gathering ---------------------- #
# ------------- end data gathering ---------------------- #
client = discord.... | 32.742268 | 119 | 0.598866 | import requests
import lxml
from bs4 import BeautifulSoup
import discord
import os
token = os.environ.get("S3_KEY")
webpage = "https://www.worldometers.info/coronavirus/"
# ------------- start data gathering ---------------------- #
class dataGather:
def __init__(self):
print("dataGather has been instanc... | 2,659 | -4 | 133 |
8a16fcb02288043fd068a6a1acdbef11a03a4613 | 25,254 | py | Python | tests/test_integration_test_of_client.py | ndexbio/nice-cx-python | f8cf207e439b3afcf77c45ea80792968a2258bfb | [
"BSD-3-Clause"
] | 5 | 2017-12-01T20:19:46.000Z | 2022-03-06T19:22:36.000Z | tests/test_integration_test_of_client.py | ndexbio/nice-cx-python | f8cf207e439b3afcf77c45ea80792968a2258bfb | [
"BSD-3-Clause"
] | 77 | 2017-11-20T17:53:38.000Z | 2022-01-26T23:43:34.000Z | tests/test_integration_test_of_client.py | ndexbio/nice-cx-python | f8cf207e439b3afcf77c45ea80792968a2258bfb | [
"BSD-3-Clause"
] | 5 | 2017-11-20T17:03:34.000Z | 2021-04-26T20:40:20.000Z | # -*- coding: utf-8 -*-
"""Integration/acceptance tests for `ndex2.client` package."""
import os
import re
import sys
import io
import time
import unittest
import json
import uuid
from datetime import datetime
import requests
from requests.exceptions import HTTPError
import ndex2
from ndex2.nice_cx_network import Ni... | 43.692042 | 91 | 0.570484 | # -*- coding: utf-8 -*-
"""Integration/acceptance tests for `ndex2.client` package."""
import os
import re
import sys
import io
import time
import unittest
import json
import uuid
from datetime import datetime
import requests
from requests.exceptions import HTTPError
import ndex2
from ndex2.nice_cx_network import Ni... | 23,365 | 1,067 | 22 |