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64939646e87c224c58ffcfd8cf705c67c41ee7e3 | 16,321 | py | Python | cornflow-server/cornflow/tests/integration/test_cornflowclient.py | baobabsoluciones/cornflow | bd7cae22107e5fe148704d5f41d4f58f9c410b40 | [
"Apache-2.0"
] | 1 | 2022-03-30T16:44:50.000Z | 2022-03-30T16:44:50.000Z | cornflow-server/cornflow/tests/integration/test_cornflowclient.py | baobabsoluciones/cornflow | bd7cae22107e5fe148704d5f41d4f58f9c410b40 | [
"Apache-2.0"
] | 2 | 2022-03-31T08:42:10.000Z | 2022-03-31T12:05:23.000Z | cornflow-server/cornflow/tests/integration/test_cornflowclient.py | baobabsoluciones/cornflow | bd7cae22107e5fe148704d5f41d4f58f9c410b40 | [
"Apache-2.0"
] | null | null | null | """
"""
# Full imports
# Imports from environment
# Import internal modules
| 40.298765 | 85 | 0.658477 | """
"""
# Full imports
import json
import pulp
import logging as log
import time
# Imports from environment
from cornflow_client import CornFlowApiError
from cornflow_client.constants import INSTANCE_SCHEMA, SOLUTION_SCHEMA
# Import internal modules
from cornflow.app import create_app
from cornflow.shared.const impo... | 0 | 0 | 0 | 15,600 | 0 | 71 | 0 | 231 | 335 |
c99d93e1bf1ed54873350ee1c6e4595ebffd5172 | 594 | py | Python | code/lufangxiao/contrastive_methods/DiResNet_model/__init__.py | xueruoyao/FCN-pytorch | a5019da3943f47fa4f7baed3640cdbfeae2d677e | [
"MIT"
] | 1 | 2021-12-20T07:20:25.000Z | 2021-12-20T07:20:25.000Z | code/lufangxiao/contrastive_methods/DiResNet_model/__init__.py | xueruoyao/FCN-pytorch | a5019da3943f47fa4f7baed3640cdbfeae2d677e | [
"MIT"
] | null | null | null | code/lufangxiao/contrastive_methods/DiResNet_model/__init__.py | xueruoyao/FCN-pytorch | a5019da3943f47fa4f7baed3640cdbfeae2d677e | [
"MIT"
] | null | null | null | import torch.nn as nn | 42.428571 | 110 | 0.80303 | from torchvision.models import resnet
from .DirectionNet import DirectionNet
from .DiResNet import FCN_Ref
import torch
import torch.nn as nn
def build_model(in_channels=3, num_classes=1, pretrained=True):
return FCN_Ref(in_channels=in_channels, num_classes=num_classes, pretrained=pretrained)
def build_aux_part(i... | 0 | 0 | 0 | 0 | 0 | 407 | 0 | 32 | 134 |
32c510321206b11b0e0f4d12dc5852d212e9a734 | 4,668 | py | Python | pysnmp/INTEL-IP-MULTICAST-ROUTER-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/INTEL-IP-MULTICAST-ROUTER-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/INTEL-IP-MULTICAST-ROUTER-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module INTEL-IP-MULTICAST-ROUTER-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/INTEL-IP-MULTICAST-ROUTER-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 19:43:05 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python ve... | 116.7 | 496 | 0.76928 | #
# PySNMP MIB module INTEL-IP-MULTICAST-ROUTER-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/INTEL-IP-MULTICAST-ROUTER-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 19:43:05 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python ve... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
adc2c97cbe4ef08ab5968eeb58293ab3cbed3fc5 | 1,836 | py | Python | python/day04a.py | hurryabit/adventofcode-2021 | 3f9949895fc5541eb050b427f1432a6c91b6297e | [
"Unlicense"
] | null | null | null | python/day04a.py | hurryabit/adventofcode-2021 | 3f9949895fc5541eb050b427f1432a6c91b6297e | [
"Unlicense"
] | null | null | null | python/day04a.py | hurryabit/adventofcode-2021 | 3f9949895fc5541eb050b427f1432a6c91b6297e | [
"Unlicense"
] | null | null | null | import io
from typing import Optional
EXAMPLE = """7,4,9,5,11,17,23,2,0,14,21,24,10,16,13,6,15,25,12,22,18,20,8,19,3,26,1
22 13 17 11 0
8 2 23 4 24
21 9 14 16 7
6 10 3 18 5
1 12 20 15 19
3 15 0 2 22
9 18 13 17 5
19 8 7 25 23
20 11 10 24 4
14 21 16 12 6
14 21 17 24 4
10 16 15 9 19
18 8 23 26 20... | 23.240506 | 83 | 0.601307 | import io
from collections.abc import Iterable
from typing import Optional
EXAMPLE = """7,4,9,5,11,17,23,2,0,14,21,24,10,16,13,6,15,25,12,22,18,20,8,19,3,26,1
22 13 17 11 0
8 2 23 4 24
21 9 14 16 7
6 10 3 18 5
1 12 20 15 19
3 15 0 2 22
9 18 13 17 5
19 8 7 25 23
20 11 10 24 4
14 21 16 12 6
14 21 1... | 0 | 0 | 0 | 0 | 0 | 1,204 | 0 | 15 | 137 |
d8adf4335ffbc8c602a605d3ce3a80a4d9fb7c26 | 1,854 | py | Python | src/main/python/validate_endpoint/source.py | cwilloughby-bw/vra-ipam-racktables | f21654030dd51e4f007fef762c0156a53e568715 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/main/python/validate_endpoint/source.py | cwilloughby-bw/vra-ipam-racktables | f21654030dd51e4f007fef762c0156a53e568715 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/main/python/validate_endpoint/source.py | cwilloughby-bw/vra-ipam-racktables | f21654030dd51e4f007fef762c0156a53e568715 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | """
Copyright (c) 2020 VMware, Inc.
This product is licensed to you under the Apache License, Version 2.0 (the "License").
You may not use this product except in compliance with the License.
This product may include a number of subcomponents with separate copyright notices
and license terms. Your use of these subcomp... | 31.423729 | 100 | 0.705502 | """
Copyright (c) 2020 VMware, Inc.
This product is licensed to you under the Apache License, Version 2.0 (the "License").
You may not use this product except in compliance with the License.
This product may include a number of subcomponents with separate copyright notices
and license terms. Your use of these subcomp... | 0 | 0 | 0 | 0 | 0 | 1,013 | 0 | 39 | 156 |
95553f90167c4cf047272b85e24f8a3ed2b62aaa | 51 | py | Python | SPI/__init__.py | philwil/RPi.GPIO-PineA64 | dd22ca81bd979c31e749e017962cfefd4d0e6ac4 | [
"MIT"
] | 58 | 2016-04-22T08:13:43.000Z | 2021-12-31T05:27:10.000Z | SPI/__init__.py | philwil/RPi.GPIO-PineA64 | dd22ca81bd979c31e749e017962cfefd4d0e6ac4 | [
"MIT"
] | 10 | 2016-05-11T11:05:30.000Z | 2021-08-01T12:02:17.000Z | SPI/__init__.py | philwil/RPi.GPIO-PineA64 | dd22ca81bd979c31e749e017962cfefd4d0e6ac4 | [
"MIT"
] | 21 | 2016-04-25T05:12:42.000Z | 2021-11-14T09:04:11.000Z | """
"""
VERSION = '0.6.2'
| 7.285714 | 22 | 0.529412 | """
"""
from RPi._SPI import *
VERSION = '0.6.2'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 23 |
8ff67be84d9fcd15146add087969fc8f612e50cc | 21,656 | py | Python | qtoolkit/data_structures/quantum_circuit/quantum_circuit.py | nelimee/qtoolkit | 1e99bd7d3a143a327c3bb92595ea88ec12dbdb89 | [
"CECILL-B"
] | 3 | 2018-12-30T04:50:44.000Z | 2019-12-25T12:26:02.000Z | qtoolkit/data_structures/quantum_circuit/quantum_circuit.py | nelimee/qtoolkit | 1e99bd7d3a143a327c3bb92595ea88ec12dbdb89 | [
"CECILL-B"
] | null | null | null | qtoolkit/data_structures/quantum_circuit/quantum_circuit.py | nelimee/qtoolkit | 1e99bd7d3a143a327c3bb92595ea88ec12dbdb89 | [
"CECILL-B"
] | 1 | 2021-08-08T15:59:46.000Z | 2021-08-08T15:59:46.000Z | # ======================================================================
# Copyright CERFACS (October 2018)
# Contributor: Adrien Suau (adrien.suau@cerfacs.fr)
#
# This software is governed by the CeCILL-B license under French law and
# abiding by the rules of distribution of free software. You can use,
# modify an... | 40.478505 | 88 | 0.626478 | # ======================================================================
# Copyright CERFACS (October 2018)
# Contributor: Adrien Suau (adrien.suau@cerfacs.fr)
#
# This software is governed by the CeCILL-B license under French law and
# abiding by the rules of distribution of free software. You can use,
# modify an... | 2 | 1,776 | 0 | 17,570 | 0 | 0 | 0 | 82 | 159 |
343ff326a8f186dde320d062ee1820bd51033851 | 1,784 | py | Python | ImageToCode.py | SL-RU/sfam_generator | eed23f8c6322a5dfe328851c85d24cb20f344613 | [
"MIT"
] | 10 | 2017-03-15T16:48:19.000Z | 2021-12-07T06:55:18.000Z | ImageToCode.py | SL-RU/sfam_generator | eed23f8c6322a5dfe328851c85d24cb20f344613 | [
"MIT"
] | null | null | null | ImageToCode.py | SL-RU/sfam_generator | eed23f8c6322a5dfe328851c85d24cb20f344613 | [
"MIT"
] | 5 | 2018-01-19T17:28:32.000Z | 2021-12-26T09:01:37.000Z | from PIL import Image
import sys
#This script converts 1bit image to special byte file and code for using in your projects.
png = "pinkie_pie_by_cellularsp-d4j7sj2.gif" #Image file
out_f = png[:-4] + ".img"
print(out_f)
max_ll = 8
im = Image.open(png)
if im.width > 255 or im.height > 255:
print("Image max width ... | 21.756098 | 243 | 0.57287 | import PIL
from PIL import Image, ImageFont, ImageDraw
import math, sys
#This script converts 1bit image to special byte file and code for using in your projects.
png = "pinkie_pie_by_cellularsp-d4j7sj2.gif" #Image file
out_f = png[:-4] + ".img"
print(out_f)
max_ll = 8
im = Image.open(png)
if im.width > 255 or im... | 0 | 0 | 0 | 0 | 0 | 580 | 0 | 17 | 45 |
5b492c1bb5a26e044019d775af24ca4dc00c554b | 688 | py | Python | realtoxicityprompts/scripts/helper_dataparallel_merge_generations.py | ml-research/MoRT_NMI | 98dc14f42714b1b794d685507c01b593cde5638c | [
"MIT"
] | 4 | 2021-04-04T13:42:34.000Z | 2021-11-29T15:38:50.000Z | realtoxicityprompts/scripts/helper_dataparallel_merge_generations.py | ml-research/MoRT_NMI | 98dc14f42714b1b794d685507c01b593cde5638c | [
"MIT"
] | null | null | null | realtoxicityprompts/scripts/helper_dataparallel_merge_generations.py | ml-research/MoRT_NMI | 98dc14f42714b1b794d685507c01b593cde5638c | [
"MIT"
] | null | null | null |
base_dir = './resultsMCM/prompted/gpt2mcm-k50-keepmin5-t00'
base_path = base_dir+'/{}-{}/generations.jsonl'
outfile = base_dir+'/all/generations.jsonl'
batch_size = 4000
filenames = [(i*batch_size, i*batch_size+batch_size) for i in range(25)]
print(filenames)
cnt = 0
with open(outfile, 'w') as outfile:
for i, fna... | 31.272727 | 72 | 0.614826 |
base_dir = './resultsMCM/prompted/gpt2mcm-k50-keepmin5-t00'
base_path = base_dir+'/{}-{}/generations.jsonl'
outfile = base_dir+'/all/generations.jsonl'
batch_size = 4000
filenames = [(i*batch_size, i*batch_size+batch_size) for i in range(25)]
print(filenames)
cnt = 0
with open(outfile, 'w') as outfile:
for i, fna... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
495408fc1dc0cfbec8a05472b485424bce359f08 | 1,064 | py | Python | dexp/processing/color/cairo_utils.py | haesleinhuepf/dexp | 2ea84f3db323724588fac565fae56f0d522bc5ca | [
"BSD-3-Clause"
] | 16 | 2021-04-21T14:09:19.000Z | 2022-03-22T02:30:59.000Z | dexp/processing/color/cairo_utils.py | haesleinhuepf/dexp | 2ea84f3db323724588fac565fae56f0d522bc5ca | [
"BSD-3-Clause"
] | 28 | 2021-04-15T17:43:08.000Z | 2022-03-29T16:08:35.000Z | dexp/processing/color/cairo_utils.py | haesleinhuepf/dexp | 2ea84f3db323724588fac565fae56f0d522bc5ca | [
"BSD-3-Clause"
] | 3 | 2022-02-08T17:41:30.000Z | 2022-03-18T15:32:27.000Z | import numpy
from dexp.utils.backends import Backend
def get_array_for_cairo_surface(surface: "ImageSurface"): # noqa: F821
"""
Returns an array given a ImageSurface from PyCairo.
Parameters
----------
surface : surface
Returns
-------
RGBA numpy array of shape: (...,4)
"""
... | 23.644444 | 90 | 0.678571 | import numpy
from dexp.utils.backends import Backend
def get_array_for_cairo_surface(surface: "ImageSurface"): # noqa: F821
"""
Returns an array given a ImageSurface from PyCairo.
Parameters
----------
surface : surface
Returns
-------
RGBA numpy array of shape: (...,4)
"""
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
45c2e6179e1f48ab5b034e304716466d80f630a3 | 3,979 | py | Python | scripts/animateGridData.py | sayanadhikari207/picsp | dc6315a11b4dd3d567f2d51673807e82e5378921 | [
"MIT"
] | 3 | 2021-02-22T13:23:08.000Z | 2021-05-27T21:08:32.000Z | scripts/animateGridData.py | sayanadhikari207/picsp | dc6315a11b4dd3d567f2d51673807e82e5378921 | [
"MIT"
] | 8 | 2021-03-23T15:47:15.000Z | 2021-04-05T12:55:54.000Z | scripts/animateGridData.py | sayanadhikari207/picsp | dc6315a11b4dd3d567f2d51673807e82e5378921 | [
"MIT"
] | 1 | 2021-02-22T13:36:53.000Z | 2021-02-22T13:36:53.000Z | #!/usr/bin/env python3
import numpy as np
import h5py
import matplotlib as mp
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from mpl_toolkits import mplot3d
from mpl_toolkits.axes_grid1 import make_axes_locatable
import argparse
import os
# import plotly.graph_objects as go
#========= Config... | 32.08871 | 98 | 0.620508 | #!/usr/bin/env python3
import numpy as np
import h5py
import matplotlib as mp
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from mpl_toolkits import mplot3d
from mpl_toolkits.axes_grid1 import make_axes_locatable
import argparse
import os
# import plotly.graph_objects as go
#========= Config... | 0 | 0 | 0 | 0 | 0 | 764 | 0 | 0 | 26 |
2a4d363b4d24f4f58e77f8bb01b4f21712e7dc72 | 2,547 | py | Python | aloe/aloe/common/synthetic/dataset.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 23,901 | 2018-10-04T19:48:53.000Z | 2022-03-31T21:27:42.000Z | aloe/aloe/common/synthetic/dataset.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 891 | 2018-11-10T06:16:13.000Z | 2022-03-31T10:42:34.000Z | aloe/aloe/common/synthetic/dataset.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 6,047 | 2018-10-12T06:31:02.000Z | 2022-03-31T13:59:28.000Z | # coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 35.873239 | 91 | 0.619552 | # coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 0 | 0 | 0 | 1,790 | 0 | 0 | 0 | 36 | 91 |
8f619ef687d1f9623aae26c5a9fd22fb12fed77a | 4,422 | py | Python | ngram.py | PdePinguino/n-grams | 73a199fce2eeb3fa75c0df863ca430e5a5f9be0f | [
"MIT"
] | null | null | null | ngram.py | PdePinguino/n-grams | 73a199fce2eeb3fa75c0df863ca430e5a5f9be0f | [
"MIT"
] | null | null | null | ngram.py | PdePinguino/n-grams | 73a199fce2eeb3fa75c0df863ca430e5a5f9be0f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
This files has the NGram class.
"""
import pickle
from os.path import join
if __name__ == '__main__':
with open(join('corpus', 'poems.pkl'), 'rb') as handle:
poems = pickle.load(handle)
unigram = NGram(poems, n=1)
#bigram = NGram(poems, n=2)
#trigram = NGram(poem... | 30.287671 | 92 | 0.568521 | #!/usr/bin/env python3
"""
This files has the NGram class.
"""
import pickle
from os.path import join
import numpy as np
import re
from tqdm import tqdm
class NGram():
def __init__(self, poems, n, reduced=False):
self.n = n
self.poems = poems
self.tagged_lines = self.append_tag(self.get_... | 0 | 0 | 0 | 3,877 | 0 | 0 | 0 | -15 | 89 |
fbeaacdbc188f5a72bb2f95b5542a2c449342e0c | 19,674 | py | Python | scripts/generate_scripts.py | brunocampos01/automated-business-intelligence-at-azure | 82b8ab1ea0311166d12216effc15ac5e68c47b61 | [
"MIT"
] | 6 | 2020-02-08T03:19:55.000Z | 2021-09-06T00:33:16.000Z | scripts/generate_scripts.py | brunocampos01/automated-business-intelligence-at-azure | 82b8ab1ea0311166d12216effc15ac5e68c47b61 | [
"MIT"
] | null | null | null | scripts/generate_scripts.py | brunocampos01/automated-business-intelligence-at-azure | 82b8ab1ea0311166d12216effc15ac5e68c47b61 | [
"MIT"
] | 2 | 2020-11-13T15:26:26.000Z | 2021-09-15T12:43:19.000Z | """
Generate each script with customs variables by client
"""
import os
import glob
import argparse
from pathlib import Path
# paths
path_cloud = str(Path(__file__).absolute().parent.parent)
# path: scripts powershell
path_ori_runbooks = '/scripts/runbooks/'
path_dest_runbooks = '/azure_automatiom_account/runbooks/'
... | 51.101299 | 153 | 0.563434 | """
Generate each script with customs variables by client
"""
import os
import glob
import json
import argparse
from pathlib import Path
# paths
path_cloud = str(Path(__file__).absolute().parent.parent)
# path: scripts powershell
path_ori_runbooks = '/scripts/runbooks/'
path_dest_runbooks = '/azure_automatiom_account... | 0 | 0 | 0 | 0 | 0 | 11,540 | 0 | -10 | 91 |
fb87826767923a06891871f7e6d5e30765f0233b | 1,852 | py | Python | ftarc/task/fastqc.py | dceoy/ftarc | d9ce11902a7ce3ad3e47d717f863dcf03ea73ed3 | [
"MIT"
] | null | null | null | ftarc/task/fastqc.py | dceoy/ftarc | d9ce11902a7ce3ad3e47d717f863dcf03ea73ed3 | [
"MIT"
] | null | null | null | ftarc/task/fastqc.py | dceoy/ftarc | d9ce11902a7ce3ad3e47d717f863dcf03ea73ed3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import luigi
if __name__ == '__main__':
luigi.run()
| 30.866667 | 78 | 0.563715 | #!/usr/bin/env python
import re
from pathlib import Path
import luigi
from .core import FtarcTask
class CollectFqMetricsWithFastqc(FtarcTask):
fq_paths = luigi.ListParameter()
dest_dir_path = luigi.Parameter(default='.')
fastqc = luigi.Parameter(default='fastqc')
n_cpu = luigi.IntParameter(default=... | 0 | 0 | 0 | 1,682 | 0 | 0 | 0 | -3 | 91 |
f067f89023af4ada7a41c3edf295ca19e2dffe30 | 2,135 | py | Python | flask/ajax-setinterval-get-thread-result/main.py | whitmans-max/python-examples | 881a8f23f0eebc76816a0078e19951893f0daaaa | [
"MIT"
] | 140 | 2017-02-21T22:49:04.000Z | 2022-03-22T17:51:58.000Z | flask/ajax-setinterval-get-thread-result/main.py | whitmans-max/python-examples | 881a8f23f0eebc76816a0078e19951893f0daaaa | [
"MIT"
] | 5 | 2017-12-02T19:55:00.000Z | 2021-09-22T23:18:39.000Z | flask/ajax-setinterval-get-thread-result/main.py | whitmans-max/python-examples | 881a8f23f0eebc76816a0078e19951893f0daaaa | [
"MIT"
] | 79 | 2017-01-25T10:53:33.000Z | 2022-03-11T16:13:57.000Z | #!/usr/bin/env python3
# date: 2020.01.17
# https://stackoverflow.com/questions/59780007/ajax-with-flask-for-real-time-esque-updates-of-sensor-data-on-webpage/
from flask import Flask
app = Flask(__name__)
running = False # to control loop in thread
value = 0
app.run(debug=True)
| 25.416667 | 117 | 0.513817 | #!/usr/bin/env python3
# date: 2020.01.17
# https://stackoverflow.com/questions/59780007/ajax-with-flask-for-real-time-esque-updates-of-sensor-data-on-webpage/
from flask import Flask, request, render_template_string, jsonify
import datetime
import time
import threading
app = Flask(__name__)
running = False # to co... | 0 | 1,506 | 0 | 0 | 0 | 170 | 0 | 21 | 139 |
173e22545eafe25afdd8caf76400a2e631dc90af | 884 | py | Python | opportune/tests/test_account_model.py | Mildly-Sketchy/Mildly-Sketchy | d215d5c478bfbdac0056ed0144edfe8c9efa557f | [
"MIT"
] | null | null | null | opportune/tests/test_account_model.py | Mildly-Sketchy/Mildly-Sketchy | d215d5c478bfbdac0056ed0144edfe8c9efa557f | [
"MIT"
] | 2 | 2019-12-26T16:41:26.000Z | 2020-01-06T18:52:13.000Z | opportune/tests/test_account_model.py | Mildly-Sketchy/Mildly-Sketchy | d215d5c478bfbdac0056ed0144edfe8c9efa557f | [
"MIT"
] | 1 | 2018-06-13T18:16:45.000Z | 2018-06-13T18:16:45.000Z | def test_constructed_account_added_to_database(db_session):
"""Test adding a complete stock entry."""
from ..models import Account
assert len(db_session.query(Account).all()) == 0
account = Account(
username='TEST',
password='1234',
email='some@email.com',
)
db_session.a... | 29.466667 | 62 | 0.668552 | def test_constructed_account_added_to_database(db_session):
"""Test adding a complete stock entry."""
from ..models import Account
assert len(db_session.query(Account).all()) == 0
account = Account(
username='TEST',
password='1234',
email='some@email.com',
)
db_session.a... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7be240fbdc21ca63847b43f7fdcf1774a5755f88 | 282 | py | Python | zillowdb/packages/pathlib_mate/__init__.py | MacHu-GWU/zillowdb-project | 020266257311fa667a3b5fcca15450eb00584aaf | [
"MIT"
] | null | null | null | zillowdb/packages/pathlib_mate/__init__.py | MacHu-GWU/zillowdb-project | 020266257311fa667a3b5fcca15450eb00584aaf | [
"MIT"
] | null | null | null | zillowdb/packages/pathlib_mate/__init__.py | MacHu-GWU/zillowdb-project | 020266257311fa667a3b5fcca15450eb00584aaf | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
pathlib_mate provide extensive methods, attributes for pathlib.
"""
__version__ = "0.0.6"
__short_description__ = "An extended and more powerful pathlib."
__license__ = "MIT"
__author__ = "Sanhe Hu"
| 20.142857 | 64 | 0.705674 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
pathlib_mate provide extensive methods, attributes for pathlib.
"""
__version__ = "0.0.6"
__short_description__ = "An extended and more powerful pathlib."
__license__ = "MIT"
__author__ = "Sanhe Hu"
from .pathlib import Path | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 27 |
33de6ce4592643dd5c627b7e893f88550ab7fb4f | 3,476 | py | Python | baseseven.py | FykAikawa/Anchor-based-SR-pytorch | 60ec9b49efd23cf59a385268f4d10a98e5a73965 | [
"MIT"
] | 3 | 2021-07-18T17:28:44.000Z | 2022-02-28T03:08:13.000Z | baseseven.py | FykAikawa/Anchor-based-SR-pytorch | 60ec9b49efd23cf59a385268f4d10a98e5a73965 | [
"MIT"
] | null | null | null | baseseven.py | FykAikawa/Anchor-based-SR-pytorch | 60ec9b49efd23cf59a385268f4d10a98e5a73965 | [
"MIT"
] | null | null | null | import torch.nn as nn
upsampler = nn.Upsample(scale_factor=4, mode='bilinear')
| 38.622222 | 172 | 0.59954 | import numpy as np
import torch.nn as nn
import torch
def rgb_to_ycbcr(image):
r: torch.Tensor = image[..., 0, :, :]
g: torch.Tensor = image[..., 1, :, :]
b: torch.Tensor = image[..., 2, :, :]
delta = 0.5
y = 0.299 * r + 0.587 * g + 0.114 * b
cb = (b - y) * 0.564 + delta
cr = (r - y) * 0.7... | 0 | 0 | 0 | 2,663 | 0 | 608 | 0 | -12 | 136 |
e81ad75e45ab4660c1a2fd705fc8ce5e9c88c56b | 199 | py | Python | oo/pessoa.py | cef01/pythonbirds | 5af5278a784cb76162de756cec213b14cce1e1dd | [
"MIT"
] | null | null | null | oo/pessoa.py | cef01/pythonbirds | 5af5278a784cb76162de756cec213b14cce1e1dd | [
"MIT"
] | null | null | null | oo/pessoa.py | cef01/pythonbirds | 5af5278a784cb76162de756cec213b14cce1e1dd | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
p = Pessoa()
print(Pessoa.comprimentar(p))
print(id(p))
print(p.comprimentar()) | 19.9 | 33 | 0.60804 | class Pessoa:
def comprimentar(self):
return f'olá {id(self)}'
if __name__ == '__main__':
p = Pessoa()
print(Pessoa.comprimentar(p))
print(id(p))
print(p.comprimentar()) | 2 | 0 | 0 | 52 | 0 | 0 | 0 | 0 | 22 |
9fc44a3261d2a0f0f9c0aeed1ed8fd908fe8b78e | 2,717 | py | Python | python/ns/maya/Progress.py | redpawfx/massiveImporter | 2772d1ce530041007d00d8ba4274dccdda7b8900 | [
"MIT"
] | 2 | 2018-01-30T07:50:48.000Z | 2020-03-10T02:10:38.000Z | python/ns/maya/Progress.py | redpawfx/massiveImporter | 2772d1ce530041007d00d8ba4274dccdda7b8900 | [
"MIT"
] | null | null | null | python/ns/maya/Progress.py | redpawfx/massiveImporter | 2772d1ce530041007d00d8ba4274dccdda7b8900 | [
"MIT"
] | 3 | 2016-10-25T14:29:34.000Z | 2021-08-09T13:37:33.000Z | # The MIT License
#
# Copyright (c) 2008 James Piechota
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy,... | 29.215054 | 80 | 0.741627 | # The MIT License
#
# Copyright (c) 2008 James Piechota
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy,... | 0 | 0 | 0 | 0 | 0 | 1,078 | 0 | 19 | 299 |
a028741d9b11b9c49111dc54ccac4cee2d3d2068 | 1,274 | py | Python | microWsgi/uwsgiTestApp.py | chrisbrake/PythonSandbox | 8cd2ea847676d6a300b55c560f49cd980f760b00 | [
"BSD-3-Clause"
] | 1 | 2018-10-19T17:35:01.000Z | 2018-10-19T17:35:01.000Z | microWsgi/uwsgiTestApp.py | chrisbrake/PythonSandbox | 8cd2ea847676d6a300b55c560f49cd980f760b00 | [
"BSD-3-Clause"
] | null | null | null | microWsgi/uwsgiTestApp.py | chrisbrake/PythonSandbox | 8cd2ea847676d6a300b55c560f49cd980f760b00 | [
"BSD-3-Clause"
] | null | null | null | import json
import logging
import socket
"""
Server:
uwsgi --module "microWsgi.uwsgiTestApp:assemble()" --http :5050 --stats stats.socket
Client:
curl -s 'http://localhost:5050?test=potatoes' | python -m 'json.tool'
Stats:
nc -U stats.socket | python -m 'json.tool'
"""
logging.basicConfig(level=logging.DEBUG)
def... | 20.222222 | 85 | 0.603611 | import json
import logging
import socket
import falcon
from . import db
"""
Server:
uwsgi --module "microWsgi.uwsgiTestApp:assemble()" --http :5050 --stats stats.socket
Client:
curl -s 'http://localhost:5050?test=potatoes' | python -m 'json.tool'
Stats:
nc -U stats.socket | python -m 'json.tool'
"""
logging.basicCo... | 0 | 0 | 0 | 348 | 0 | 75 | 0 | -13 | 90 |
aa26db1011e01edbcbb699f248c229f20b132387 | 365,395 | py | Python | modality/pyuml2/uml_mixins.py | bmjjr/modality | 700c608b4e8150f1413ba022938ab6a8f1f148c1 | [
"MIT"
] | 1 | 2019-01-09T07:09:36.000Z | 2019-01-09T07:09:36.000Z | modality/pyuml2/uml_mixins.py | bmjjr/modality | 700c608b4e8150f1413ba022938ab6a8f1f148c1 | [
"MIT"
] | null | null | null | modality/pyuml2/uml_mixins.py | bmjjr/modality | 700c608b4e8150f1413ba022938ab6a8f1f148c1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Mixins to be implemented by user."""
import pyecore.ecore as ecore
... | 44.598438 | 652 | 0.709646 | # -*- coding: utf-8 -*-
"""Mixins to be implemented by user."""
import pyecore.ecore as ecore
from pyecore.ecore import EDerivedCollection
from pyecore.valuecontainer import EcoreUtils, BadValueError
from pyecore.innerutils import ignored
def check(value, etype):
if not EcoreUtils.isinstance(value, etype):
... | 3 | 4,074 | 0 | 354,099 | 0 | 93 | 0 | 79 | 6,667 |
81d2b8761a000e3c2e1719093c36e29ab070f551 | 97 | py | Python | NaStyAPI/__init__.py | Nimi142/NaStyAPI | 573c04b89c6dd40b2a5b8360221a9711fece1234 | [
"Apache-2.0"
] | 2 | 2021-04-04T06:36:22.000Z | 2021-05-03T16:00:58.000Z | NaStyAPI/__init__.py | Nimi142/NaStyAPI | 573c04b89c6dd40b2a5b8360221a9711fece1234 | [
"Apache-2.0"
] | null | null | null | NaStyAPI/__init__.py | Nimi142/NaStyAPI | 573c04b89c6dd40b2a5b8360221a9711fece1234 | [
"Apache-2.0"
] | null | null | null | __all__ = ["Nation", "Region", "Telegrams", "WorldAssembly", "World", "TradingCards", "APICall"]
| 48.5 | 96 | 0.670103 | __all__ = ["Nation", "Region", "Telegrams", "WorldAssembly", "World", "TradingCards", "APICall"]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7c29438a9f8848043860516040d82534bc2f57ea | 28,673 | py | Python | google/ads/googleads/v6/resources/types/campaign.py | wxxlouisa/google-ads-python | f24137966f6bfcb765a9b1fae79f2d23041825fe | [
"Apache-2.0"
] | null | null | null | google/ads/googleads/v6/resources/types/campaign.py | wxxlouisa/google-ads-python | f24137966f6bfcb765a9b1fae79f2d23041825fe | [
"Apache-2.0"
] | null | null | null | google/ads/googleads/v6/resources/types/campaign.py | wxxlouisa/google-ads-python | f24137966f6bfcb765a9b1fae79f2d23041825fe | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 42.104258 | 151 | 0.672165 | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 0 | 0 | 0 | 25,759 | 0 | 0 | 0 | 1,575 | 508 |
4846371389c6ecd83e61164bd3ccc3ebf91187b3 | 1,596 | py | Python | scripts/gen_large_tests_oc.py | kuenishi/chainer-compiler | 942c3b09759d0857ddc7c6bb93b81117d011ff50 | [
"MIT"
] | null | null | null | scripts/gen_large_tests_oc.py | kuenishi/chainer-compiler | 942c3b09759d0857ddc7c6bb93b81117d011ff50 | [
"MIT"
] | null | null | null | scripts/gen_large_tests_oc.py | kuenishi/chainer-compiler | 942c3b09759d0857ddc7c6bb93b81117d011ff50 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
if __name__ == '__main__':
main()
| 28 | 71 | 0.572055 | #!/usr/bin/python3
import chainer
import numpy as np
import onnx_chainer
import large_models
def create_test(test_name, get_fun, dtype):
np.random.seed(314)
chainer.config.dtype = dtype
model, inputs = get_fun(dtype)
output_grad = 'backprop' in test_name
test_dir = 'out/%s' % test_name
cha... | 0 | 0 | 0 | 0 | 0 | 1,389 | 0 | -14 | 159 |
e4b2fb7d5295c37d01ec3eec6b1e99065efdc814 | 648 | py | Python | setup.py | olavurmortensen/pedgraph | 0e7c90bd0e4f63fa718b7af8c5c769f102bbdebc | [
"MIT"
] | null | null | null | setup.py | olavurmortensen/pedgraph | 0e7c90bd0e4f63fa718b7af8c5c769f102bbdebc | [
"MIT"
] | null | null | null | setup.py | olavurmortensen/pedgraph | 0e7c90bd0e4f63fa718b7af8c5c769f102bbdebc | [
"MIT"
] | null | null | null | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
INSTALL_REQUIRES = ['neo4j-driver>=4.1.1',
'tqdm==4.48.2']
setuptools.setup(
name="pedgraph",
version="0.0.1",
author="lavur Mortensen",
author_email="olavurmortensen@gmail.com",
description=... | 29.454545 | 86 | 0.697531 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
INSTALL_REQUIRES = ['neo4j-driver>=4.1.1',
'tqdm==4.48.2']
setuptools.setup(
name="pedgraph",
version="0.0.1",
author="Ólavur Mortensen",
author_email="olavurmortensen@gmail.com",
description... | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a0bfa04c353c116af29022063768a993ed18a5fc | 2,008 | py | Python | Q380-v2.py | Linchin/python_leetcode_git | 3d08ab04bbdbd2ce268f33c501fbb149662872c7 | [
"MIT"
] | null | null | null | Q380-v2.py | Linchin/python_leetcode_git | 3d08ab04bbdbd2ce268f33c501fbb149662872c7 | [
"MIT"
] | null | null | null | Q380-v2.py | Linchin/python_leetcode_git | 3d08ab04bbdbd2ce268f33c501fbb149662872c7 | [
"MIT"
] | null | null | null | """
Q380
Insert Delete GetRandom O(1)
Medium
Array; Hash Table; Design.
Design a data structure that supports all following operations in average O(1) time.
1. insert(val): Inserts an item val to the set if not already present.
2. remove(val): Removes an item val from the set if present.
3. getRandom: Returns a rand... | 24.790123 | 117 | 0.635956 | """
Q380
Insert Delete GetRandom O(1)
Medium
Array; Hash Table; Design.
Design a data structure that supports all following operations in average O(1) time.
1. insert(val): Inserts an item val to the set if not already present.
2. remove(val): Removes an item val from the set if present.
3. getRandom: Returns a rand... | 0 | 0 | 0 | 1,167 | 0 | 0 | 0 | -8 | 46 |
8e2c9128f4841ac28d470c168123443131eba11d | 385 | py | Python | RiskQuantLib/Security/Stock/stock.py | SyuyaMurakami/RiskQuantLib-Doc | 2503befc24c2e422e51f8b9f468c8d8439e11c65 | [
"MIT"
] | 1 | 2021-12-29T12:18:45.000Z | 2021-12-29T12:18:45.000Z | RiskQuantLib/Security/Stock/stock.py | SyuyaMurakami/RiskQuantLib-Doc | 2503befc24c2e422e51f8b9f468c8d8439e11c65 | [
"MIT"
] | null | null | null | RiskQuantLib/Security/Stock/stock.py | SyuyaMurakami/RiskQuantLib-Doc | 2503befc24c2e422e51f8b9f468c8d8439e11c65 | [
"MIT"
] | 1 | 2021-12-08T02:14:34.000Z | 2021-12-08T02:14:34.000Z | #!/usr/bin/python
#coding = utf-8
| 20.263158 | 76 | 0.732468 | #!/usr/bin/python
#coding = utf-8
from RiskQuantLib.Security.base import base
from RiskQuantLib.Set.Security.Stock.stock import setStock
class stock(base,setStock):
"""
stock is one of the five basic classes.
"""
def __init__(self,codeString,nameString,securityTypeString = 'Stock'):
super(stoc... | 0 | 0 | 0 | 218 | 0 | 0 | 0 | 59 | 68 |
d508595276fcec1298ee3044f7295cd76a1e39cb | 333 | py | Python | tests/test_basic.py | sbalnojan/tropo-mods | 63ef70b84ff6d3fb2bbaeea94193e06e1fc64f63 | [
"Apache-2.0"
] | null | null | null | tests/test_basic.py | sbalnojan/tropo-mods | 63ef70b84ff6d3fb2bbaeea94193e06e1fc64f63 | [
"Apache-2.0"
] | null | null | null | tests/test_basic.py | sbalnojan/tropo-mods | 63ef70b84ff6d3fb2bbaeea94193e06e1fc64f63 | [
"Apache-2.0"
] | null | null | null | import tropo_mods.auto_sns as auto_sns
from troposphere import Template
test_sns_yaml = """\
Resources:
SNSTopic1:
Properties:
TopicName: my_new_topic
Type: AWS::SNS::Topic
"""
t = Template()
topic = auto_sns.AutoSNS(t, topic_name="my_new_topic", email="test@me.com")
assert test_sns_yaml == topic.pri... | 20.8125 | 75 | 0.72973 | import tropo_mods.auto_sns as auto_sns
from troposphere import Template
test_sns_yaml = """\
Resources:
SNSTopic1:
Properties:
TopicName: my_new_topic
Type: AWS::SNS::Topic
"""
t = Template()
topic = auto_sns.AutoSNS(t, topic_name="my_new_topic", email="test@me.com")
assert test_sns_yaml == topic.pri... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2e4a45056766bfcabf520edef026dcde56f9a911 | 23,761 | py | Python | jade2/pymol_jade/PyMolScriptWriter.py | RosettaCommons/jade2 | 40affc7c4e0f1f6ee07030e72de284e3484946e7 | [
"BSD-3-Clause"
] | 1 | 2019-12-23T21:52:23.000Z | 2019-12-23T21:52:23.000Z | jade2/pymol_jade/PyMolScriptWriter.py | RosettaCommons/jade2 | 40affc7c4e0f1f6ee07030e72de284e3484946e7 | [
"BSD-3-Clause"
] | null | null | null | jade2/pymol_jade/PyMolScriptWriter.py | RosettaCommons/jade2 | 40affc7c4e0f1f6ee07030e72de284e3484946e7 | [
"BSD-3-Clause"
] | 2 | 2021-11-13T01:34:15.000Z | 2021-11-13T01:34:34.000Z | #!/usr/bin/python
#Author: Jared Adolf-Bryfogle
import sys
from collections import defaultdict
from jade2.basic.threading.Threader import Threader
from jade2.basic.structure import Structure
#from jade2.antibody import util as ab_util
############################################################################... | 35.623688 | 162 | 0.577543 | #!/usr/bin/python
#Author: Jared Adolf-Bryfogle
import sys
from collections import defaultdict
from jade2.basic.path import *
from jade2.basic.threading.Threader import Threader
from jade2.basic.structure import Structure
from jade2.basic.path import *
#from jade2.antibody import util as ab_util
class PyMolScriptWr... | 0 | 0 | 0 | 11,732 | 0 | 0 | 0 | 18 | 68 |
64daa544c850e2eafe0501beb13ccb026f2670ec | 75 | py | Python | server/conftest.py | njbrunner/neighbor | eeffc8ff7adb4eaa1889ab058d6cd1fc95b80e1e | [
"MIT"
] | 1 | 2020-04-06T03:31:25.000Z | 2020-04-06T03:31:25.000Z | server/conftest.py | njbrunner/covid-19 | eeffc8ff7adb4eaa1889ab058d6cd1fc95b80e1e | [
"MIT"
] | 16 | 2020-04-17T00:44:01.000Z | 2020-05-01T20:39:31.000Z | server/conftest.py | njbrunner/neighbor | eeffc8ff7adb4eaa1889ab058d6cd1fc95b80e1e | [
"MIT"
] | null | null | null | """This module alters the testing system path to provide access to app."""
| 37.5 | 74 | 0.746667 | """This module alters the testing system path to provide access to app."""
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ab6a6ccefbec9268443801ac748475636e4151cb | 7,072 | py | Python | sleeplearning/lib/models/granger_amoe.py | a1247418/MT18_LH_human-sleep-classification | c4a40571390aaa14b1cc8a458100e21252fe05d2 | [
"MIT"
] | 2 | 2018-11-16T19:39:32.000Z | 2018-11-20T03:38:58.000Z | sleeplearning/lib/models/granger_amoe.py | a1247418/MT18_LH_human-sleep-classification | c4a40571390aaa14b1cc8a458100e21252fe05d2 | [
"MIT"
] | 1 | 2019-04-03T07:39:48.000Z | 2019-04-03T07:39:48.000Z | sleeplearning/lib/models/granger_amoe.py | a1247418/MT18_LH_human-sleep-classification | c4a40571390aaa14b1cc8a458100e21252fe05d2 | [
"MIT"
] | 1 | 2019-03-04T15:46:24.000Z | 2019-03-04T15:46:24.000Z | import os
import sys
root_dir = os.path.abspath(os.path.join(os.path.dirname('__file__'), '..'))
sys.path.insert(0, root_dir)
from pymongo import MongoClient
from cfg.config import mongo_url
client = MongoClient(mongo_url)
db = client.sacred
# db.collection_names(include_system_collections=False)
files = db.fs.files... | 35.898477 | 102 | 0.579893 | import os
import sys
import gridfs
from sleeplearning.lib.models.single_chan_expert import SingleChanExpert
root_dir = os.path.abspath(os.path.join(os.path.dirname('__file__'), '..'))
sys.path.insert(0, root_dir)
from pymongo import MongoClient
from torch import nn
from torch.nn.init import xavier_normal_ as xavier_... | 0 | 0 | 0 | 5,915 | 0 | 521 | 0 | 87 | 225 |
4ab43ec654b55664f667149827969ecc7a2b583c | 1,173 | py | Python | big_data/python_tools/big_data_tools/bokeh_tools/ex_graphs/labelset_ex.py | paulhtremblay/big-data | dfa2aa9877300a57e7a9368af59c07fcc5841b4f | [
"MIT"
] | null | null | null | big_data/python_tools/big_data_tools/bokeh_tools/ex_graphs/labelset_ex.py | paulhtremblay/big-data | dfa2aa9877300a57e7a9368af59c07fcc5841b4f | [
"MIT"
] | 7 | 2020-06-05T18:13:25.000Z | 2022-03-11T23:19:48.000Z | big_data/python_tools/big_data_tools/bokeh_tools/ex_graphs/labelset_ex.py | paulhtremblay/big-data | dfa2aa9877300a57e7a9368af59c07fcc5841b4f | [
"MIT"
] | 1 | 2020-11-25T18:24:37.000Z | 2020-11-25T18:24:37.000Z | from bokeh.plotting import figure, show, output_file
from bokeh.models import ColumnDataSource, Range1d, LabelSet, Label
output_file("label.html", title="label.py example")
source = ColumnDataSource(data=dict(height=[66, 71, 72, 68, 58, 62],
weight=[165, 189, 220, 141, 260, 174],
... | 41.892857 | 75 | 0.602728 | from bokeh.plotting import figure, show, output_file
from bokeh.models import ColumnDataSource, Range1d, LabelSet, Label
output_file("label.html", title="label.py example")
source = ColumnDataSource(data=dict(height=[66, 71, 72, 68, 58, 62],
weight=[165, 189, 220, 141, 260, 174],
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
189bb5fd75bd6436fff20052f805eddc1d8a7212 | 4,516 | py | Python | backend/size.py | VivianChan1998/Old-shoes | 090f97373333a4df21399f5555dadd4c0eca6ea6 | [
"MIT"
] | 1 | 2021-01-27T17:53:33.000Z | 2021-01-27T17:53:33.000Z | backend/size.py | VivianChan1998/Old-shoes | 090f97373333a4df21399f5555dadd4c0eca6ea6 | [
"MIT"
] | 2 | 2021-01-28T07:38:49.000Z | 2022-01-22T17:25:59.000Z | backend/size.py | VivianChan1998/Old-shoes | 090f97373333a4df21399f5555dadd4c0eca6ea6 | [
"MIT"
] | 1 | 2020-09-03T02:37:14.000Z | 2020-09-03T02:37:14.000Z | import sys
# import cv2
# import config_own
import logging
########## To-Do ##########
### optimization ### warping ###
### the shot-raw-img is needed to be warpped
### or the coin and shoes will be in inaccurate scales
# def img_warping():
# to scale the main_obj size by a NT$10 coin
# NT$10 coin's diameter = 26mm... | 32.257143 | 142 | 0.579717 | import os
from os.path import basename
import sys
import json
import requests
import matplotlib.pyplot as plt
from PIL import Image
from io import BytesIO
# import cv2
import numpy as np
# import config_own
import logging
def shot_cv2():
# set the img storage path
img_path = config_own.SHOT_CV2_DIR
# cpat... | 33 | 0 | 0 | 0 | 0 | 3,400 | 0 | -13 | 244 |
d64e97cef206d1a3eab0c9ff04a0f95768cec03b | 500 | py | Python | algorithms/samename-03-1.py | lsm4446/study_python | d05077b319c98007af26c92f69f5d59fe33483d0 | [
"BSD-2-Clause"
] | 1 | 2020-02-17T01:25:35.000Z | 2020-02-17T01:25:35.000Z | algorithms/samename-03-1.py | lsm4446/study_python | d05077b319c98007af26c92f69f5d59fe33483d0 | [
"BSD-2-Clause"
] | 2 | 2021-03-31T19:32:47.000Z | 2021-12-13T20:33:30.000Z | algorithms/samename-03-1.py | lsm4446/study_python | d05077b319c98007af26c92f69f5d59fe33483d0 | [
"BSD-2-Clause"
] | null | null | null | '''
Created on 2018. 4. 26.
@author: lsm
'''
name = ["", "Tom", "Jerry", "Mike", "", "Tom"]
print(find_same_name(name))
name = ["", "Tom", "Jerry", "Mike", "", "Mike"]
print(find_same_name(name))
name = ["", "Tom", "Jerry", "Mike", "Mike", "Jerry", "tom"]
print(find_same_name(name))
| 21.73913 | 62 | 0.53 | '''
Created on 2018. 4. 26.
@author: lsm
'''
def find_same_name(a):
n = len(a)
result = set()
for i in range(0, n-1):
for j in range(i+1, n):
if a[i] == a[j]:
result.add(a[i])
return result
name = ["이상면", "Tom", "Jerry", "Mike", "이상면", "Tom"]
print(find_same_name(na... | 45 | 0 | 0 | 0 | 0 | 175 | 0 | 0 | 22 |
52e4d41b65b85280389783fdde8527c4a6dd8a7c | 7,689 | py | Python | curriculums.py | EdwardJTL/Edit3D | bbb6364aeb5ea17c12c0c23578268641c066ebca | [
"MIT"
] | null | null | null | curriculums.py | EdwardJTL/Edit3D | bbb6364aeb5ea17c12c0c23578268641c066ebca | [
"MIT"
] | null | null | null | curriculums.py | EdwardJTL/Edit3D | bbb6364aeb5ea17c12c0c23578268641c066ebca | [
"MIT"
] | null | null | null | """
To easily reproduce experiments, and avoid passing several command line arguments, we implemented
a curriculum utility. Parameters can be set in a curriculum dictionary.
Curriculum Schema:
Numerical keys in the curriculum specify an upsample step. When the current step matches the upsample step,
the value... | 33.723684 | 125 | 0.642216 | """
To easily reproduce experiments, and avoid passing several command line arguments, we implemented
a curriculum utility. Parameters can be set in a curriculum dictionary.
Curriculum Schema:
Numerical keys in the curriculum specify an upsample step. When the current step matches the upsample step,
the value... | 0 | 0 | 0 | 0 | 0 | 1,616 | 0 | 0 | 92 |
12bef3917108852eeaabbac5c934d0b48f2924ea | 6,488 | py | Python | tests/transmitters.py | LeMagnesium/stolas-p2p | f5a48c12b8422c58ba62ed89491bcf2a19441dbf | [
"Unlicense"
] | null | null | null | tests/transmitters.py | LeMagnesium/stolas-p2p | f5a48c12b8422c58ba62ed89491bcf2a19441dbf | [
"Unlicense"
] | null | null | null | tests/transmitters.py | LeMagnesium/stolas-p2p | f5a48c12b8422c58ba62ed89491bcf2a19441dbf | [
"Unlicense"
] | null | null | null | #!/usr/bin/python3
# -*- encoding: utf-8 -*-
#
from sys import argv
import stolas.stolas
from stolas.betterui import pprint as print
if __name__ == '__main__':
if len(argv) == 1:
print("Tell me?")
pass
if argv[1] == "cluster":
stolas_cluster()
elif argv[1] == "gigacluster":
stolas_gigacluster()
elif a... | 30.603774 | 146 | 0.679408 | #!/usr/bin/python3
# -*- encoding: utf-8 -*-
#
from sys import argv
import random
import os.path
import hashlib
import time
import stolas.stolas
import stolas.protocol
from stolas.betterui import pprint as print
from network import manual_stolas_prompt
from common import network_collapse, mean
def network_random(po... | 7 | 0 | 0 | 0 | 0 | 5,698 | 0 | 8 | 339 |
dfb39c7d8e6a3e2dae7e009e6ab22ce4fe0a79a6 | 8,436 | py | Python | Neural Networks/deepnnScript.py | Muthu2093/Machine-Learning-Applications | bb171ff2bfdcb5af64403ae7f63fe96572d63963 | [
"MIT"
] | null | null | null | Neural Networks/deepnnScript.py | Muthu2093/Machine-Learning-Applications | bb171ff2bfdcb5af64403ae7f63fe96572d63963 | [
"MIT"
] | null | null | null | Neural Networks/deepnnScript.py | Muthu2093/Machine-Learning-Applications | bb171ff2bfdcb5af64403ae7f63fe96572d63963 | [
"MIT"
] | null | null | null | '''
Comparing single layer MLP with deep MLP (using TensorFlow)
'''
import tensorflow as tf
import timeit
start = timeit.default_timer()
# Create model
# Add more hidden layers to create deeper networks
# Remember to connect the final hidden layer to the out_layer
# Do not change this
# Parameters
learning_rate = ... | 40.951456 | 135 | 0.642959 | '''
Comparing single layer MLP with deep MLP (using TensorFlow)
'''
import tensorflow as tf
import numpy as np
import pickle
import timeit
start = timeit.default_timer()
# Create model
# Add more hidden layers to create deeper networks
# Remember to connect the final hidden layer to the out_layer
def create_multilaye... | 0 | 0 | 0 | 0 | 0 | 6,505 | 0 | -11 | 88 |
bd6b41c6a191fa6db37444744515df734b167e4a | 405 | py | Python | pytorch_projects/common_pytorch/base_modules/avg_pool_head.py | KGMSFT/integral-human-pose | d3ad4117ed71c580d2ab17987e15f9b2c3318a3b | [
"MIT"
] | 472 | 2018-07-20T04:01:04.000Z | 2022-01-20T07:28:06.000Z | pytorch_projects/common_pytorch/base_modules/avg_pool_head.py | KGMSFT/integral-human-pose | d3ad4117ed71c580d2ab17987e15f9b2c3318a3b | [
"MIT"
] | 44 | 2018-09-17T06:39:13.000Z | 2021-09-10T06:22:27.000Z | pytorch_projects/common_pytorch/base_modules/avg_pool_head.py | KGMSFT/integral-human-pose | d3ad4117ed71c580d2ab17987e15f9b2c3318a3b | [
"MIT"
] | 88 | 2018-07-22T13:10:16.000Z | 2022-03-21T11:21:38.000Z | import torch.nn as nn | 31.153846 | 64 | 0.624691 | import torch.nn as nn
class AvgPoolHead(nn.Module):
def __init__(self, in_channels, out_channels, fea_map_size):
super(AvgPoolHead, self).__init__()
self.avgpool = nn.AvgPool2d(fea_map_size, stride=1)
self.fc = nn.Linear(in_channels, out_channels)
def forward(self, x):
x = self... | 0 | 0 | 0 | 361 | 0 | 0 | 0 | 0 | 23 |
4a1ceaf38773fa0905170c8e89ab1c5dd2a537ec | 1,049 | py | Python | lib_collection/sort/quick_3_string.py | caser789/libcollection | eb0a6fc36ce1cb57ed587865bbc1576e81c08924 | [
"MIT"
] | null | null | null | lib_collection/sort/quick_3_string.py | caser789/libcollection | eb0a6fc36ce1cb57ed587865bbc1576e81c08924 | [
"MIT"
] | null | null | null | lib_collection/sort/quick_3_string.py | caser789/libcollection | eb0a6fc36ce1cb57ed587865bbc1576e81c08924 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
keys = [
'she',
'sells',
'seashells',
'by',
'the',
'seashore',
'the',
'shells',
'she',
'sells',
'are',
'surely',
'seashells',
]
expected = sorted(keys[:])
assert keys !... | 16.919355 | 49 | 0.414681 | def sort(keys):
_sort(keys, 0, len(keys)-1, 0)
def _sort(keys, lo, hi, start):
if hi <= lo:
return
lt = lo
gt = hi
v = get_r(keys[lt], start)
i = lt + 1
while i <= gt:
c = get_r(keys[i], start)
if c < v:
keys[lt], keys[i] = keys[i], keys[lt]
... | 0 | 0 | 0 | 0 | 0 | 604 | 0 | 0 | 68 |
18817fe28e3e3d36c37cd1aa559511462ada2e60 | 505 | py | Python | src/sdanalysis/dynamics/__init__.py | malramsay64/statdyn-analysis | 2cc9ea1c5386b7fc203cb068d29e8d0aa626ee43 | [
"MIT"
] | 6 | 2018-03-13T22:43:11.000Z | 2021-07-07T17:46:28.000Z | src/sdanalysis/dynamics/__init__.py | malramsay64/statdyn-analysis | 2cc9ea1c5386b7fc203cb068d29e8d0aa626ee43 | [
"MIT"
] | 174 | 2018-02-06T05:50:12.000Z | 2020-08-01T19:32:55.000Z | src/sdanalysis/dynamics/__init__.py | malramsay64/statdyn-analysis | 2cc9ea1c5386b7fc203cb068d29e8d0aa626ee43 | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright 2019 Malcolm Ramsay <malramsay64@gmail.com>
#
# Distributed under terms of the MIT license.
"""Module for reading and processing input files."""
from ._util import TrackedMotion
from .dynamics import Dynamics
from .relaxations import Las... | 21.956522 | 82 | 0.724752 | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2019 Malcolm Ramsay <malramsay64@gmail.com>
#
# Distributed under terms of the MIT license.
"""Module for reading and processing input files."""
from ._util import TrackedMotion
from .dynamics import Dynamics
from .relaxations import La... | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4433baac982fb2d87a67e95a552e5dba24c69fd0 | 1,000 | py | Python | backend/fedmix_backend/datastore.py | FEDMix/fedmix-viewer | 3116d7c85aa73016d5657c2c084cddb7fb64e399 | [
"Apache-2.0"
] | null | null | null | backend/fedmix_backend/datastore.py | FEDMix/fedmix-viewer | 3116d7c85aa73016d5657c2c084cddb7fb64e399 | [
"Apache-2.0"
] | 3 | 2020-10-19T09:27:42.000Z | 2020-10-23T11:26:52.000Z | backend/fedmix_backend/datastore.py | FEDMix/fedmix-viewer | 3116d7c85aa73016d5657c2c084cddb7fb64e399 | [
"Apache-2.0"
] | null | null | null | import logging
logger = logging.getLogger(__name__)
| 32.258065 | 77 | 0.598 | import json
import logging
import os
logger = logging.getLogger(__name__)
class Datastore:
def __init__(self, path, remote_url):
self.path = path
self.remote_url = remote_url
self.datasets = dict()
self.load_datasets()
def load_datasets(self):
print(f"Loading datasets... | 0 | 0 | 0 | 901 | 0 | 0 | 0 | -22 | 67 |
a25b7aed1e40cc5fb4a9fe65324df3c25be54409 | 6,669 | py | Python | kohokoho.py | Moonlit-Solutions/kohokoho | 27f7c0c45cf7662b79f5fd75402cbab2098423d0 | [
"Apache-2.0"
] | null | null | null | kohokoho.py | Moonlit-Solutions/kohokoho | 27f7c0c45cf7662b79f5fd75402cbab2098423d0 | [
"Apache-2.0"
] | 22 | 2021-01-24T06:42:55.000Z | 2021-08-09T14:25:06.000Z | kohokoho.py | ayushsubedi/term-obfuscate-dataset | ac07d46a60114fadf084ade4e1dbf7dc0370bf07 | [
"Apache-2.0"
] | 2 | 2021-02-01T14:46:34.000Z | 2021-02-18T03:40:02.000Z | from faker import Faker
fake = Faker('en')
| 31.757143 | 78 | 0.575948 | import click
import string
import random
import time
import pandas as pd
from faker import Faker
fake = Faker('en')
class anon(object):
'''Initialize a df as an anon object.
Args:
df: pandas dataframe
Returns:
anon object
'''
def __init__(self, df):
self.original = df.cop... | 0 | 2,533 | 0 | 3,970 | 0 | 0 | 0 | -37 | 156 |
48d27e7c7f04241eaba6ebba6f4280a5b806a2d3 | 1,741 | py | Python | input_test.py | Forsenlol/Reinforced-training-simulating-the-work-of-neural-synapses | 21e70c3eb5fac8984adb78771bf25f1e5aef823a | [
"MIT"
] | null | null | null | input_test.py | Forsenlol/Reinforced-training-simulating-the-work-of-neural-synapses | 21e70c3eb5fac8984adb78771bf25f1e5aef823a | [
"MIT"
] | null | null | null | input_test.py | Forsenlol/Reinforced-training-simulating-the-work-of-neural-synapses | 21e70c3eb5fac8984adb78771bf25f1e5aef823a | [
"MIT"
] | null | null | null | import gym
import numpy as np
import operator
env = gym.make('MountainCar-v0')
possible_actions = env.action_space.n
print 'Possible actions are {}'.format(possible_actions)
epsilonlearn = EpsilonGreedy()
for episode in xrange(epsilonlearn.episodes):
observation = env.reset()
while True:
env.render(... | 28.540984 | 69 | 0.577254 | import gym
import numpy as np
import operator
env = gym.make('MountainCar-v0')
possible_actions = env.action_space.n
print 'Possible actions are {}'.format(possible_actions)
class EpsilonGreedy():
def __init__(self, episodes=1000, epsilon=0.2):
self.episodes = episodes
self.epsilon = epsilon
... | 0 | 0 | 0 | 1,134 | 0 | 0 | 0 | 0 | 23 |
c1732f33ed39b706bb238f90f7327e90eb8aadf9 | 6,424 | py | Python | tests/utils_tests.py | lukegb/ehacktivities | bc04d02eaf36a106b943ce0cb8395e85a780f6fc | [
"MIT"
] | 1 | 2016-04-30T00:19:13.000Z | 2016-04-30T00:19:13.000Z | tests/utils_tests.py | lukegb/ehacktivities | bc04d02eaf36a106b943ce0cb8395e85a780f6fc | [
"MIT"
] | null | null | null | tests/utils_tests.py | lukegb/ehacktivities | bc04d02eaf36a106b943ce0cb8395e85a780f6fc | [
"MIT"
] | null | null | null | # vim: set fileencoding=utf-8
from eactivities import utils as utils
| 31.336585 | 84 | 0.452055 | # vim: set fileencoding=utf-8
import unittest
import decimal
from eactivities import utils as utils
class TestFormatYear(unittest.TestCase):
def test_basic(self):
self.assertEqual(utils.format_year(2013), "13-14")
self.assertEqual(utils.format_year(2012), "12-13")
def test_wraparound(self):... | 6 | 0 | 0 | 6,175 | 0 | 0 | 0 | -13 | 183 |
0ee0a90813c8c9a90a1985052ea498c3076c177b | 2,480 | py | Python | tests/dataset_mock.py | fufunoyu/mindspore | 704e367ada35653e8144eb0528c714f4b0231508 | [
"Apache-2.0"
] | null | null | null | tests/dataset_mock.py | fufunoyu/mindspore | 704e367ada35653e8144eb0528c714f4b0231508 | [
"Apache-2.0"
] | null | null | null | tests/dataset_mock.py | fufunoyu/mindspore | 704e367ada35653e8144eb0528c714f4b0231508 | [
"Apache-2.0"
] | 1 | 2021-05-10T03:30:36.000Z | 2021-05-10T03:30:36.000Z | # Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 27.252747 | 78 | 0.645968 | # Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 0 | 50 | 0 | 1,642 | 0 | 0 | 0 | 4 | 68 |
c78fff6a1b742a2097292cc1762ed16a15045646 | 2,885 | py | Python | onnx/backend/test/case/node/softmax.py | pchandrasekaran1595/onnx | 10da6f2e919c8515877e227a41cd44e86ae0bb2d | [
"Apache-2.0"
] | 12,820 | 2017-09-07T07:00:24.000Z | 2022-03-31T14:41:57.000Z | onnx/backend/test/case/node/softmax.py | pchandrasekaran1595/onnx | 10da6f2e919c8515877e227a41cd44e86ae0bb2d | [
"Apache-2.0"
] | 3,213 | 2017-09-07T17:48:17.000Z | 2022-03-31T19:44:57.000Z | onnx/backend/test/case/node/softmax.py | pchandrasekaran1595/onnx | 10da6f2e919c8515877e227a41cd44e86ae0bb2d | [
"Apache-2.0"
] | 2,922 | 2017-09-07T07:46:00.000Z | 2022-03-31T15:55:24.000Z | # SPDX-License-Identifier: Apache-2.0
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
| 28.284314 | 65 | 0.507452 | # SPDX-License-Identifier: Apache-2.0
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
def softmax(x, axis=-1): # type: (n... | 0 | 2,318 | 0 | -1 | 0 | 185 | 0 | -12 | 205 |
8caa6e6d97d8417d27e29aa9cf0782bc090cde87 | 5,604 | py | Python | gorilla3d/nn/modules/sparse/unet.py | Gorilla-Lab-SCUT/gorilla-3d | 399ed8616781a0fbc462f655c0e80c258c5a5207 | [
"MIT"
] | 6 | 2021-08-30T14:52:05.000Z | 2022-02-28T19:37:14.000Z | gorilla3d/nn/modules/sparse/unet.py | Gorilla-Lab-SCUT/gorilla-3d | 399ed8616781a0fbc462f655c0e80c258c5a5207 | [
"MIT"
] | null | null | null | gorilla3d/nn/modules/sparse/unet.py | Gorilla-Lab-SCUT/gorilla-3d | 399ed8616781a0fbc462f655c0e80c258c5a5207 | [
"MIT"
] | 3 | 2021-12-25T02:17:51.000Z | 2022-02-23T21:53:16.000Z | import torch.nn as nn
try:
except:
pass
| 37.36 | 77 | 0.470914 | import functools
from collections import OrderedDict
from typing import Callable, Dict, List, Optional, Union
import gorilla
import torch
import torch.nn as nn
try:
import spconv
from spconv.modules import SparseModule
except:
pass
from .block import ResidualBlock, VGGBlock, AsymResidualBlock
class UBl... | 0 | 0 | 0 | 5,271 | 0 | 0 | 0 | 78 | 209 |
72cbdd0bcaa996954661c5bd76f6d40be1176bc5 | 1,602 | py | Python | canary/app.py | jrxFive/canary | 725b7fc812c06de26056fe6eee9d155abf3e0c47 | [
"MIT"
] | null | null | null | canary/app.py | jrxFive/canary | 725b7fc812c06de26056fe6eee9d155abf3e0c47 | [
"MIT"
] | null | null | null | canary/app.py | jrxFive/canary | 725b7fc812c06de26056fe6eee9d155abf3e0c47 | [
"MIT"
] | null | null | null | import falcon
import skyline
import outlier
import backend
api = falcon.API()
# Skyline Resources
skyline_MedianAbsoluteDeviation = skyline.MedianAbsoluteDeviation()
skyline_Grubbs = skyline.Grubbs()
skyline_FirstHourAverage = skyline.FirstHourAverage()
skyline_HistogramBins = skyline.HistogramBins()
skyline_LeastSqu... | 29.127273 | 71 | 0.779026 | import falcon
import skyline
import outlier
import backend
api = falcon.API()
# Skyline Resources
skyline_MedianAbsoluteDeviation = skyline.MedianAbsoluteDeviation()
skyline_Grubbs = skyline.Grubbs()
skyline_FirstHourAverage = skyline.FirstHourAverage()
skyline_HistogramBins = skyline.HistogramBins()
skyline_LeastSqu... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1a09c3a99ab397cf25966358037555ec10ce96b5 | 1,645 | py | Python | dthm4kaiako/events/migrations/0003_auto_20190305_2035.py | taskmaker1/dthm4kaiako | 681babc10b3223b5ae7fdf19b98c53d2bef4ea1a | [
"MIT"
] | 3 | 2018-12-10T07:03:02.000Z | 2021-04-12T02:18:30.000Z | dthm4kaiako/events/migrations/0003_auto_20190305_2035.py | taskmaker1/dthm4kaiako | 681babc10b3223b5ae7fdf19b98c53d2bef4ea1a | [
"MIT"
] | 566 | 2018-09-30T02:54:28.000Z | 2022-03-28T01:20:01.000Z | dthm4kaiako/events/migrations/0003_auto_20190305_2035.py | taskmaker1/dthm4kaiako | 681babc10b3223b5ae7fdf19b98c53d2bef4ea1a | [
"MIT"
] | 3 | 2019-04-04T19:53:39.000Z | 2021-05-16T02:04:46.000Z | # Generated by Django 2.1.5 on 2019-03-05 07:35
| 42.179487 | 397 | 0.594529 | # Generated by Django 2.1.5 on 2019-03-05 07:35
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('events', '0002_auto_20190305_0753'),
]
operations = [
migrations.AddField(
model_name='location',
name='city',
... | 0 | 0 | 0 | 1,531 | 0 | 0 | 0 | 19 | 46 |
6799a09b7e3c82d3322add9429550909c8f992c3 | 2,009 | py | Python | electricitymap/contrib/config/__init__.py | neilfulwiler/electricitymap-contrib | bcfd819eb24fc0530861e44acdb828f3ef635fe0 | [
"MIT"
] | 1 | 2022-02-08T22:52:09.000Z | 2022-02-08T22:52:09.000Z | electricitymap/contrib/config/__init__.py | eliagroup/electricitymap-contrib | 66e1e5976bf7add639c24b61386b329b15955075 | [
"MIT"
] | null | null | null | electricitymap/contrib/config/__init__.py | eliagroup/electricitymap-contrib | 66e1e5976bf7add639c24b61386b329b15955075 | [
"MIT"
] | null | null | null | import json
from pathlib import Path
from typing import Dict, List, NewType, Tuple
ZoneKey = NewType("ZoneKey", str)
Point = NewType("Point", Tuple[float, float])
BoundingBox = NewType("BoundingBox", List[Point])
CONFIG_DIR = Path(__file__).parent.parent.parent.parent.joinpath("config").resolve()
# Read JOSN files
Z... | 40.18 | 88 | 0.735192 | import json
from pathlib import Path
from typing import Dict, List, NewType, Tuple
ZoneKey = NewType("ZoneKey", str)
Point = NewType("Point", Tuple[float, float])
BoundingBox = NewType("BoundingBox", List[Point])
CONFIG_DIR = Path(__file__).parent.parent.parent.parent.joinpath("config").resolve()
# Read JOSN files
Z... | 0 | 0 | 0 | 0 | 0 | 282 | 0 | 0 | 23 |
afafff9e14db07eceecd082a992b541d798cad5f | 2,200 | py | Python | tests/conftest.py | RussellJQA/test-statsroyale | 376d00d2bd998de7c58b07df06f1fe7dc82816d1 | [
"MIT"
] | null | null | null | tests/conftest.py | RussellJQA/test-statsroyale | 376d00d2bd998de7c58b07df06f1fe7dc82816d1 | [
"MIT"
] | null | null | null | tests/conftest.py | RussellJQA/test-statsroyale | 376d00d2bd998de7c58b07df06f1fe7dc82816d1 | [
"MIT"
] | null | null | null | """
This module contains shared fixtures.
"""
# pip installed
# scope="session" means "Run fixture 1x per session"
# (1x before entire test suite)
# scope="function" [the default] means "Run fixture 1x for each test case" )"
| 31.428571 | 77 | 0.711818 | """
This module contains shared fixtures.
"""
import json
from pathlib import Path
# pip installed
import pytest # installed with webdriver_manager
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from webdriver_manager.firefox import GeckoDriverManager
# scope="session" mean... | 0 | 1,693 | 0 | 0 | 0 | 0 | 0 | 64 | 213 |
b82068f563050b399255df26391497881d98b3a5 | 12,152 | py | Python | pypureclient/flashblade/FB_2_2/api/rdl_api.py | Flav-STOR-WL/py-pure-client | 03b889c997d90380ac5d6380ca5d5432792d3e89 | [
"BSD-2-Clause"
] | 14 | 2018-12-07T18:30:27.000Z | 2022-02-22T09:12:33.000Z | pypureclient/flashblade/FB_2_2/api/rdl_api.py | Flav-STOR-WL/py-pure-client | 03b889c997d90380ac5d6380ca5d5432792d3e89 | [
"BSD-2-Clause"
] | 28 | 2019-09-17T21:03:52.000Z | 2022-03-29T22:07:35.000Z | pypureclient/flashblade/FB_2_2/api/rdl_api.py | Flav-STOR-WL/py-pure-client | 03b889c997d90380ac5d6380ca5d5432792d3e89 | [
"BSD-2-Clause"
] | 15 | 2020-06-11T15:50:08.000Z | 2022-03-21T09:27:25.000Z | # coding: utf-8
"""
FlashBlade REST API
A lightweight client for FlashBlade REST API 2.2, developed by Pure Storage, Inc. (http://www.purestorage.com/).
OpenAPI spec version: 2.2
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
# pyth... | 37.622291 | 199 | 0.632242 | # coding: utf-8
"""
FlashBlade REST API
A lightweight client for FlashBlade REST API 2.2, developed by Pure Storage, Inc. (http://www.purestorage.com/).
OpenAPI spec version: 2.2
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import... | 0 | 0 | 0 | 11,690 | 0 | 0 | 0 | -11 | 90 |
b9c448bf2426d47f5d9150b6f0c8d6cbf069d50b | 6,296 | py | Python | cwharaj/cwharaj/parser/opensooq_parser.py | trujunzhang/djzhang-targets | c2e327acde9d51f0455e7243f17d93d74b579501 | [
"MIT"
] | 2 | 2018-12-03T16:30:55.000Z | 2019-04-03T13:29:20.000Z | cwharaj/cwharaj/parser/opensooq_parser.py | trujunzhang/djzhang-targets | c2e327acde9d51f0455e7243f17d93d74b579501 | [
"MIT"
] | null | null | null | cwharaj/cwharaj/parser/opensooq_parser.py | trujunzhang/djzhang-targets | c2e327acde9d51f0455e7243f17d93d74b579501 | [
"MIT"
] | 1 | 2019-04-03T13:29:25.000Z | 2019-04-03T13:29:25.000Z | # coding=utf-8
| 40.883117 | 121 | 0.630083 | # coding=utf-8
import logging
from cwharaj.items import Ad, CacheItem, City, Member, OpensooqPhone
from cwharaj.parser.base_parser import BaseParser
from cwharaj.parser.utils.harajs_comments import HarajsComments
from cwharaj.parser.utils.harajs_section import HarajsSection
from cwharaj.parser.utils.timer_opensooq_com... | 24 | 0 | 0 | 5,894 | 0 | 0 | 0 | 218 | 156 |
7a3b01013fde2ee3d3ab666efa9cbbf280de529f | 5,695 | py | Python | vxt/view/task/factory.py | veeso/voice-xtractor | 8382dd889ed665741c3c66b65321cc1d36c6a767 | [
"MIT"
] | 1 | 2022-01-11T01:31:36.000Z | 2022-01-11T01:31:36.000Z | vxt/view/task/factory.py | veeso/vxt | 8382dd889ed665741c3c66b65321cc1d36c6a767 | [
"MIT"
] | null | null | null | vxt/view/task/factory.py | veeso/vxt | 8382dd889ed665741c3c66b65321cc1d36c6a767 | [
"MIT"
] | null | null | null | # VXT
# Developed by Christian Visintin
#
# MIT License
# Copyright (c) 2021 Christian Visintin
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitati... | 38.47973 | 87 | 0.689201 | # VXT
# Developed by Christian Visintin
#
# MIT License
# Copyright (c) 2021 Christian Visintin
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitati... | 0 | 3,524 | 0 | 381 | 0 | 0 | 0 | 270 | 354 |
c0a838d1742e11f233a011458ca579ef6d49d4db | 2,243 | py | Python | bag8/utils.py | peopledoc/bag8 | 6bd8a00ac258297b94eac6c71f4efe275c416203 | [
"MIT"
] | 4 | 2015-05-27T13:59:00.000Z | 2016-12-11T20:34:00.000Z | bag8/utils.py | peopledoc/bag8 | 6bd8a00ac258297b94eac6c71f4efe275c416203 | [
"MIT"
] | 64 | 2015-04-27T08:33:14.000Z | 2016-07-15T13:33:11.000Z | bag8/utils.py | peopledoc/bag8 | 6bd8a00ac258297b94eac6c71f4efe275c416203 | [
"MIT"
] | null | null | null | from __future__ import absolute_import, division, print_function
import re
from functools import partial
from subprocess import Popen
from subprocess import PIPE
RE_WORD = re.compile('\W')
call = partial(Popen, stdout=PIPE, stderr=PIPE)
| 20.962617 | 66 | 0.631743 | from __future__ import absolute_import, division, print_function
import os
import re
import socket
import sys
from itertools import count
from functools import partial
from subprocess import Popen
from subprocess import PIPE
from time import sleep
import click
from distutils.spawn import find_executable
from comp... | 0 | 0 | 0 | 0 | 0 | 1,573 | 0 | 57 | 365 |
400708af3eb122277da5836ea70cf914223ea9b3 | 1,387 | py | Python | src/c3_price/main.py | KlimaDAO/discord-bots | 96fefab99e27abccd0b2d5c9d3812f8ad60e94d6 | [
"MIT"
] | 2 | 2022-01-24T19:58:44.000Z | 2022-03-07T20:16:52.000Z | src/c3_price/main.py | KlimaDAO/discord-bots | 96fefab99e27abccd0b2d5c9d3812f8ad60e94d6 | [
"MIT"
] | 8 | 2021-11-29T19:38:01.000Z | 2022-03-29T19:19:39.000Z | src/c3_price/main.py | KlimaDAO/discord-bots | 96fefab99e27abccd0b2d5c9d3812f8ad60e94d6 | [
"MIT"
] | 12 | 2021-10-06T20:23:08.000Z | 2022-03-31T23:51:03.000Z | import os
from ..utils import get_discord_client, get_eth_web3, get_polygon_web3, load_abi
BOT_TOKEN = os.environ["DISCORD_BOT_TOKEN"]
# Initialized Discord client
client = get_discord_client()
# Initialize web3
web3 = get_polygon_web3()
web3_eth = get_eth_web3()
# Load ABI
c3_abi = load_abi('erc20_token.json')
... | 26.169811 | 78 | 0.674838 | import os
from discord.ext import tasks
from ..constants import C3_ADDRESS, FRAX_DECIMALS, \
C3_DECIMALS, FRAX_C3_POOL
from ..contract_info import token_supply, uni_v2_pool_price
from ..utils import get_discord_client, get_eth_web3, \
get_polygon_web3, load_abi, \
... | 0 | 686 | 0 | 0 | 0 | 0 | 0 | 244 | 114 |
1d1b2e85d0c1358607cd2dd62f5bab1dffbce3a4 | 191 | py | Python | setup.py | kempei/hx711py | 1256669450f757e46c859c8b21b40e278f31fef3 | [
"Apache-2.0"
] | 1 | 2022-03-24T13:50:48.000Z | 2022-03-24T13:50:48.000Z | setup.py | kempei/hx711py-jetsonnano | 1256669450f757e46c859c8b21b40e278f31fef3 | [
"Apache-2.0"
] | null | null | null | setup.py | kempei/hx711py-jetsonnano | 1256669450f757e46c859c8b21b40e278f31fef3 | [
"Apache-2.0"
] | null | null | null | from setuptools import setup
setup(
name='hx711',
version='0.1',
description='HX711 Python Library for Jetson Nano',
py_modules=['hx711'],
install_requires=['logzero']
)
| 19.1 | 55 | 0.670157 | from setuptools import setup
setup(
name='hx711',
version='0.1',
description='HX711 Python Library for Jetson Nano',
py_modules=['hx711'],
install_requires=['logzero']
)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2b8e9a78122675bae02f4d3f6416c2c2d0b63adb | 168 | py | Python | snippets/delete_from_multi_tables.py | hit9/skylark | 5b7a14e401196e025117b095a7c5e68e551e547a | [
"BSD-2-Clause",
"MIT"
] | 114 | 2015-01-06T06:12:30.000Z | 2021-08-25T06:17:05.000Z | snippets/delete_from_multi_tables.py | keng-king/skylark | 5b7a14e401196e025117b095a7c5e68e551e547a | [
"BSD-2-Clause",
"MIT"
] | 10 | 2015-03-23T17:05:13.000Z | 2017-03-24T11:50:18.000Z | snippets/delete_from_multi_tables.py | keng-king/skylark | 5b7a14e401196e025117b095a7c5e68e551e547a | [
"BSD-2-Clause",
"MIT"
] | 59 | 2015-01-21T14:56:23.000Z | 2021-09-05T01:24:37.000Z | from models import User, Post
# delete user from post, user where post.user_id = user.id
query = (Post & User).delete(User) # mysql supports; sqlite3 dosenot support
| 33.6 | 77 | 0.744048 | from models import User, Post
# delete user from post, user where post.user_id = user.id
query = (Post & User).delete(User) # mysql supports; sqlite3 dosenot support
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b0e41ddb7c1863a92a19e81a28f9239f50f770ff | 868 | py | Python | Semproject/Courseoutline/choices.py | sllash2000/CourseOutline | d44a2a7d49695d988f8ffa6eb5407011029ece25 | [
"MIT"
] | null | null | null | Semproject/Courseoutline/choices.py | sllash2000/CourseOutline | d44a2a7d49695d988f8ffa6eb5407011029ece25 | [
"MIT"
] | null | null | null | Semproject/Courseoutline/choices.py | sllash2000/CourseOutline | d44a2a7d49695d988f8ffa6eb5407011029ece25 | [
"MIT"
] | null | null | null | FacultyNameChoices = [
('FAH','Arts And Humanities'),('FBA','Business Admin'),
('FEd','Education'),('FRS','Religous Studies'),('FOS','Science'),
('FIT','Information Technology'),('FON','Nursing')]
CourseCategory = [
('Core Course','Core Course'),('General Education Course','General Education Course'),
... | 39.454545 | 103 | 0.615207 | FacultyNameChoices = [
('FAH','Arts And Humanities'),('FBA','Business Admin'),
('FEd','Education'),('FRS','Religous Studies'),('FOS','Science'),
('FIT','Information Technology'),('FON','Nursing')]
CourseCategory = [
('Core Course','Core Course'),('General Education Course','General Education Course'),
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
960ae6c2cee95810d30359e79da59c8a97171c61 | 894 | py | Python | diagnose.py | youngdon95/start_over | 48352c42752f6dd24c82250f57c5ee1434352688 | [
"MIT"
] | null | null | null | diagnose.py | youngdon95/start_over | 48352c42752f6dd24c82250f57c5ee1434352688 | [
"MIT"
] | null | null | null | diagnose.py | youngdon95/start_over | 48352c42752f6dd24c82250f57c5ee1434352688 | [
"MIT"
] | null | null | null | import xlrd
from datetime import date
import random
workbook = xlrd.open_workbook('diagnose.xlsx')
worksheet = workbook.sheet_by_name('Sheet1')
file = open("diagnoseInsert.txt","w")
empNum = 2
for x in range(0, 30884):
year = random.choice(range(1990, 2018))
month = random.choice(range(1, 13))
day =... | 26.294118 | 130 | 0.619687 | import xlrd
from datetime import date
from datetime import datetime
import random
workbook = xlrd.open_workbook('diagnose.xlsx')
worksheet = workbook.sheet_by_name('Sheet1')
file = open("diagnoseInsert.txt","w")
empNum = 2
for x in range(0, 30884):
year = random.choice(range(1990, 2018))
month = random.... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 22 |
60a92fc32f9436c820e1f78c7327d9e09aea64ef | 881 | py | Python | day9/student_sqlcloud.py | dikshaa1702/ml | c35f279b8fa7544517ca713c2c1e55f08270d4c3 | [
"Apache-2.0"
] | 1 | 2019-06-13T13:52:09.000Z | 2019-06-13T13:52:09.000Z | day9/student_sqlcloud.py | dikshaa1702/ml | c35f279b8fa7544517ca713c2c1e55f08270d4c3 | [
"Apache-2.0"
] | null | null | null | day9/student_sqlcloud.py | dikshaa1702/ml | c35f279b8fa7544517ca713c2c1e55f08270d4c3 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu May 16 11:50:16 2019
@author: DiPu
"""
import mysql.connector
con=mysql.connector.connect(user="diksha",password='diksha1702',
host='db4free.net',database='diksha')
c=con.cursor()
c.execute("""CREATE TABLE student(
name text,
age i... | 29.366667 | 65 | 0.624291 | # -*- coding: utf-8 -*-
"""
Created on Thu May 16 11:50:16 2019
@author: DiPu
"""
import mysql.connector
con=mysql.connector.connect(user="diksha",password='diksha1702',
host='db4free.net',database='diksha')
c=con.cursor()
c.execute("""CREATE TABLE student(
name text,
age i... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7e88360483551114fdce570e13880bcbf47a3724 | 5,775 | py | Python | Optic/WrapperBl2Seq.py | CGATOxford/Optic | 2df92e953b5139ff4e5c383cb4383e6367cd47f1 | [
"MIT"
] | null | null | null | Optic/WrapperBl2Seq.py | CGATOxford/Optic | 2df92e953b5139ff4e5c383cb4383e6367cd47f1 | [
"MIT"
] | null | null | null | Optic/WrapperBl2Seq.py | CGATOxford/Optic | 2df92e953b5139ff4e5c383cb4383e6367cd47f1 | [
"MIT"
] | 1 | 2020-03-31T22:55:50.000Z | 2020-03-31T22:55:50.000Z | ##########################################################################
#
# MRC FGU Computational Genomics Group
#
# $Id$
#
# Copyright (C) 2009 Andreas Heger
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by ... | 29.020101 | 110 | 0.571602 | ##########################################################################
#
# MRC FGU Computational Genomics Group
#
# $Id$
#
# Copyright (C) 2009 Andreas Heger
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by ... | 0 | 0 | 0 | 2,592 | 0 | 0 | 0 | -30 | 134 |
13088a8ac517f64c48d773cb8a5a92fb091eb78b | 1,728 | py | Python | src/prefect/cli/__init__.py | jamestwebber/prefect | 410c4ac37d2595ab61007742883687f5e284821d | [
"Apache-2.0"
] | null | null | null | src/prefect/cli/__init__.py | jamestwebber/prefect | 410c4ac37d2595ab61007742883687f5e284821d | [
"Apache-2.0"
] | null | null | null | src/prefect/cli/__init__.py | jamestwebber/prefect | 410c4ac37d2595ab61007742883687f5e284821d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
| 25.791045 | 80 | 0.696759 | #!/usr/bin/env python
import click
import json
import logging
import os
import requests
import sys
import prefect
@click.group()
def cli():
"""
The Prefect CLI
"""
pass
@cli.command()
def make_user_config():
"""
Generates a user configuration file
"""
user_config_path = prefect.con... | 0 | 1,516 | 0 | 0 | 0 | 0 | 0 | -62 | 247 |
159bef3318bfb6c684b7d77703c8e85be28688b9 | 411 | py | Python | year2019/python/day1/day1.py | 3schwartz/AdventOfCode | 32f259c4e20c3c4834718411f1053b6a11f71c86 | [
"MIT"
] | null | null | null | year2019/python/day1/day1.py | 3schwartz/AdventOfCode | 32f259c4e20c3c4834718411f1053b6a11f71c86 | [
"MIT"
] | null | null | null | year2019/python/day1/day1.py | 3schwartz/AdventOfCode | 32f259c4e20c3c4834718411f1053b6a11f71c86 | [
"MIT"
] | null | null | null | from day1_func import get_fuel
lines = open('../../data/day1_data.txt').read().strip().split('\n')
fuels = [get_fuel(int(line)) for line in lines]
print(f'Part 1: {sum(fuels)}')
total_sum = 0
for line in lines:
last_value = int(line)
while True:
last_value = get_fuel(last_value)
if last_val... | 19.571429 | 67 | 0.620438 | from day1_func import get_fuel
lines = open('../../data/day1_data.txt').read().strip().split('\n')
fuels = [get_fuel(int(line)) for line in lines]
print(f'Part 1: {sum(fuels)}')
total_sum = 0
for line in lines:
last_value = int(line)
while True:
last_value = get_fuel(last_value)
if last_val... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f1d40cad2f2fbe51cb27d3a15929184262878d47 | 518 | py | Python | postgis_helpers/__init__.py | aaronfraint/postgis-helpers | 99f4f9ae50c1197fe6d2d0fe42884c06d2c3589c | [
"MIT"
] | 1 | 2021-02-25T21:52:24.000Z | 2021-02-25T21:52:24.000Z | postgis_helpers/__init__.py | aaronfraint/postgis-helpers | 99f4f9ae50c1197fe6d2d0fe42884c06d2c3589c | [
"MIT"
] | null | null | null | postgis_helpers/__init__.py | aaronfraint/postgis-helpers | 99f4f9ae50c1197fe6d2d0fe42884c06d2c3589c | [
"MIT"
] | 1 | 2021-02-26T00:33:29.000Z | 2021-02-26T00:33:29.000Z |
__VERSION__ = "0.2.2"
# _console.print(":globe_showing_americas:", justify="left")
# _console.print(":globe_showing_europe-africa:", justify="center")
# _console.print(":globe_showing_asia-australia:", justify="right")
# _console.print(f"-> postGIS-helpers version {__VERSION__}\n\n")
| 37 | 78 | 0.797297 | from .PgSQL import PostgreSQL
from .config_helpers import make_config_file, read_config_file, configurations
from .geopandas_helpers import spatialize_point_dataframe
from .raw_data import DataSource
from .console import _console
__VERSION__ = "0.2.2"
# _console.print(":globe_showing_americas:", justify="left")
# _c... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 111 |
35abc541d0d7ce086f795d6703dfd297577c9cb7 | 424 | py | Python | client/delivery/urls.py | daniel-waruo/e-commerse-api | 6b080039398fb4099a34335317d649dd67783f63 | [
"Apache-2.0"
] | 6 | 2019-11-21T10:09:49.000Z | 2021-06-19T09:52:59.000Z | client/delivery/urls.py | daniel-waruo/e-commerse-api | 6b080039398fb4099a34335317d649dd67783f63 | [
"Apache-2.0"
] | null | null | null | client/delivery/urls.py | daniel-waruo/e-commerse-api | 6b080039398fb4099a34335317d649dd67783f63 | [
"Apache-2.0"
] | null | null | null | from django.urls import path
from .views import CreateDeliveryInfo, DeliveryInfoApi, ListDeliveryInfo
app_name = 'delivery'
urlpatterns = [
path('delivery-information/add', CreateDeliveryInfo.as_view(), name='add_delivery_info'),
path('delivery-information/<int:pk>', DeliveryInfoApi.as_view(), name='delivery... | 35.333333 | 93 | 0.768868 | from django.urls import path
from .views import CreateDeliveryInfo, DeliveryInfoApi, ListDeliveryInfo
app_name = 'delivery'
urlpatterns = [
path('delivery-information/add', CreateDeliveryInfo.as_view(), name='add_delivery_info'),
path('delivery-information/<int:pk>', DeliveryInfoApi.as_view(), name='delivery... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
976b5d264ccc2ded21f52e33be4c2ab378f4c30d | 2,709 | py | Python | python/day11/day11.py | secworks/advent_of_code_2020 | b90e4e1d27c1e4b597a08cac8ff13e63686769f2 | [
"BSD-2-Clause"
] | null | null | null | python/day11/day11.py | secworks/advent_of_code_2020 | b90e4e1d27c1e4b597a08cac8ff13e63686769f2 | [
"BSD-2-Clause"
] | null | null | null | python/day11/day11.py | secworks/advent_of_code_2020 | b90e4e1d27c1e4b597a08cac8ff13e63686769f2 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#=======================================================================
#
# day11.py
# -------
# Solutions to Advent of Code 2020, day 11.
# https://adventofcode.com/2020/day/11
#
#=======================================================================
import sys
#----... | 27.927835 | 72 | 0.298265 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#=======================================================================
#
# day11.py
# -------
# Solutions to Advent of Code 2020, day 11.
# https://adventofcode.com/2020/day/11
#
#=======================================================================
import sys
#----... | 0 | 0 | 0 | 0 | 0 | 908 | 0 | 0 | 132 |
7eb7e67de869f3bb153180f2431ce5d9de6c4ecb | 389 | py | Python | tests/edgestats_test.py | devjack/edgestats | d668cfdc4a6962c0f02a76916fc58d43605d46b2 | [
"MIT"
] | null | null | null | tests/edgestats_test.py | devjack/edgestats | d668cfdc4a6962c0f02a76916fc58d43605d46b2 | [
"MIT"
] | null | null | null | tests/edgestats_test.py | devjack/edgestats | d668cfdc4a6962c0f02a76916fc58d43605d46b2 | [
"MIT"
] | null | null | null | import unittest
if __name__ == '__main__':
unittest.main()
| 27.785714 | 69 | 0.699229 | import unittest
import gzip
from edgestats import EdgeStats
class EdgestatsTest(unittest.TestCase):
def test_can_parse_log_file(self):
with gzip.open('tests/data/simple_unzip_test.gz', 'rb') as f:
file_content = f.read()
expected = b"Simple gzipped string\n"
self.assertEqual(exp... | 0 | 0 | 0 | 258 | 0 | 0 | 0 | 0 | 67 |
73dd5e51df3dee9bc1040211fdb75399402c8941 | 15,096 | py | Python | sdk/servicefabricmanagedclusters/azure-mgmt-servicefabricmanagedclusters/azure/mgmt/servicefabricmanagedclusters/models/_service_fabric_managed_clusters_management_client_enums.py | dubiety/azure-sdk-for-python | 62ffa839f5d753594cf0fe63668f454a9d87a346 | [
"MIT"
] | 1 | 2022-02-01T18:50:12.000Z | 2022-02-01T18:50:12.000Z | sdk/servicefabricmanagedclusters/azure-mgmt-servicefabricmanagedclusters/azure/mgmt/servicefabricmanagedclusters/models/_service_fabric_managed_clusters_management_client_enums.py | ellhe-blaster/azure-sdk-for-python | 82193ba5e81cc5e5e5a5239bba58abe62e86f469 | [
"MIT"
] | null | null | null | sdk/servicefabricmanagedclusters/azure-mgmt-servicefabricmanagedclusters/azure/mgmt/servicefabricmanagedclusters/models/_service_fabric_managed_clusters_management_client_enums.py | ellhe-blaster/azure-sdk-for-python | 82193ba5e81cc5e5e5a5239bba58abe62e86f469 | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 42.285714 | 102 | 0.72602 | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 0 | 0 | 0 | 13,837 | 0 | 0 | 0 | 34 | 757 |
0f8896b2d56b1d6c742f1e75296d6e1c654c2549 | 10,751 | py | Python | solarforecastarbiter/io/reference_observations/srml.py | wholmgren/solarforecastarbiter-core | e692c7e142f24c0253e4288a6ac760e10ba41dbd | [
"Apache-2.0",
"MIT"
] | null | null | null | solarforecastarbiter/io/reference_observations/srml.py | wholmgren/solarforecastarbiter-core | e692c7e142f24c0253e4288a6ac760e10ba41dbd | [
"Apache-2.0",
"MIT"
] | null | null | null | solarforecastarbiter/io/reference_observations/srml.py | wholmgren/solarforecastarbiter-core | e692c7e142f24c0253e4288a6ac760e10ba41dbd | [
"Apache-2.0",
"MIT"
] | null | null | null | import logging
import json
from urllib import error
from pkg_resources import resource_filename, Requirement
import pandas as pd
from pvlib import iotools
from requests.exceptions import HTTPError
from solarforecastarbiter.datamodel import Observation, SolarPowerPlant
from solarforecastarbiter.io.reference_observat... | 36.692833 | 80 | 0.646172 | import logging
import json
from urllib import error
from pkg_resources import resource_filename, Requirement
import pandas as pd
from pvlib import iotools
from requests.exceptions import HTTPError
from solarforecastarbiter.datamodel import Observation, SolarPowerPlant
from solarforecastarbiter.io.reference_observat... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 |
23ff69637f82addae0325c842c00f5a222080a6a | 2,369 | py | Python | tests/test_estimators.py | astrojose9/fulmar | 62a79fb9b7ab01e5b7b3acadaca8e4f0db0e0e2f | [
"MIT"
] | null | null | null | tests/test_estimators.py | astrojose9/fulmar | 62a79fb9b7ab01e5b7b3acadaca8e4f0db0e0e2f | [
"MIT"
] | null | null | null | tests/test_estimators.py | astrojose9/fulmar | 62a79fb9b7ab01e5b7b3acadaca8e4f0db0e0e2f | [
"MIT"
] | null | null | null | # sys.path.insert(0, os.path.abspath('/home/jrodrigues/Documents/PhD/fulmar'))
from fulmar.estimators import (estimate_planet_mass, estimate_semi_amplitude)
from fulmar.utils import (FulmarWarning)
import astropy.units as u
import numpy.testing as npt
from astropy.units import UnitConversionError
import pytest
def... | 36.446154 | 82 | 0.699451 | import os
import sys
# sys.path.insert(0, os.path.abspath('/home/jrodrigues/Documents/PhD/fulmar'))
from fulmar.estimators import (
estimate_planet_mass,
estimate_semi_amplitude
)
from fulmar.utils import (
FulmarWarning
)
import astropy.units as u
import numpy as np
import numpy.testing as npt
from astro... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -10 | 66 |
745adf17e78917104f0f56ad44e17b5a7a1b9a7e | 25,642 | py | Python | rwb/images/__init__.py | boakley/robotframework-workbench | 92f15845d6fa4baedd4f3c4346fb8ff5cf9149a6 | [
"Apache-2.0"
] | 11 | 2015-03-09T01:53:21.000Z | 2021-03-29T08:33:05.000Z | rwb/images/__init__.py | boakley/robotframework-workbench | 92f15845d6fa4baedd4f3c4346fb8ff5cf9149a6 | [
"Apache-2.0"
] | 1 | 2016-08-24T06:20:11.000Z | 2016-08-24T06:20:11.000Z | rwb/images/__init__.py | boakley/robotframework-workbench | 92f15845d6fa4baedd4f3c4346fb8ff5cf9149a6 | [
"Apache-2.0"
] | 5 | 2016-03-03T15:27:09.000Z | 2019-03-26T13:05:32.000Z | '''
This data was automatically generated by script img2data.py.
These images are part of the FAMFAMFAM silk icons set which is
provided under a creative commons license. For more information see
http://www.famfamfam.com/lab/icons/silk/
'''
data = {
'cancel': '''
R0lGODlhEAAQAPcAAAAAAAAAMwAAZgA... | 61.198091 | 73 | 0.77338 | '''
This data was automatically generated by script img2data.py.
These images are part of the FAMFAMFAM silk icons set which is
provided under a creative commons license. For more information see
http://www.famfamfam.com/lab/icons/silk/
'''
data = {
'cancel': '''
R0lGODlhEAAQAPcAAAAAAAAAMwAAZgA... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
28a6cd67583aaea23b8d40e9061ec596cdb2ce3c | 34,063 | py | Python | chapisha/create/create.py | whythawk/chapisha | ddaa028a48d10ff5396e18d1c0ae01fd56c9f465 | [
"BSD-3-Clause"
] | 2 | 2021-05-29T12:56:05.000Z | 2021-10-31T04:56:32.000Z | chapisha/create/create.py | whythawk/chapisha | ddaa028a48d10ff5396e18d1c0ae01fd56c9f465 | [
"BSD-3-Clause"
] | 1 | 2021-01-29T13:12:28.000Z | 2021-01-30T16:14:04.000Z | chapisha/create/create.py | whythawk/chapisha | ddaa028a48d10ff5396e18d1c0ae01fd56c9f465 | [
"BSD-3-Clause"
] | null | null | null | """
.. module:: create
:synopsis: Import a Word `docx` document, define its metadata, cover and rights, and publish it as an EPUB3.
.. moduleauthor:: Gavin Chait <github.com/turukawa>
CreateWork
==========
Publish a standards compliant EPUB3 creative work from a source Microsoft Word `docx` document, and define it... | 46.661644 | 551 | 0.648622 | """
.. module:: create
:synopsis: Import a Word `docx` document, define its metadata, cover and rights, and publish it as an EPUB3.
.. moduleauthor:: Gavin Chait <github.com/turukawa>
CreateWork
==========
Publish a standards compliant EPUB3 creative work from a source Microsoft Word `docx` document, and define it... | 0 | 0 | 0 | 19,679 | 0 | 0 | 0 | 131 | 333 |
f014873bcb18c5403755ad32e29f145b9b136a1d | 3,167 | py | Python | test/test_tarrecords.py | NVlabs/dlinputs | fbce290b7b8c5f3b00e9197c55a13b0a5a0f7953 | [
"BSD-3-Clause"
] | 38 | 2017-10-18T05:44:25.000Z | 2021-06-20T02:14:13.000Z | test/test_tarrecords.py | NVlabs/dlinputs | fbce290b7b8c5f3b00e9197c55a13b0a5a0f7953 | [
"BSD-3-Clause"
] | 1 | 2017-12-07T20:14:18.000Z | 2018-05-07T01:00:34.000Z | test/test_tarrecords.py | NVlabs/dlinputs | fbce290b7b8c5f3b00e9197c55a13b0a5a0f7953 | [
"BSD-3-Clause"
] | 10 | 2018-01-07T15:19:17.000Z | 2020-12-01T20:42:37.000Z | from __future__ import unicode_literals
from imp import reload
from dlinputs import tarrecords
reload(tarrecords)
# get_ipython().system(u'tar -ztvf testdata/imagenet-000000.tgz | sed 7q')
# get_ipython().system(u'tar xvf testdata/imagenet-000000.tgz 10.png')
# get_ipython().system(u'file 10.png')
| 31.989899 | 79 | 0.641932 | from __future__ import unicode_literals
import glob
import pdb
from builtins import range
from imp import reload
from io import open
import numpy as np
from dlinputs import tarrecords
reload(tarrecords)
def test_tardata():
stream = open("testdata/imagenet-000000.tgz", mode='rb')
data = tarrecords.tardata(s... | 0 | 0 | 0 | 0 | 0 | 2,631 | 0 | -21 | 250 |
6a64971723ab828855f7055bd04df9ded8f9d292 | 54,054 | py | Python | tests/unit/fake_data_root/vault/var/lib/juju/agents/unit-vault-hacluster-0/charm/hooks/utils.py | KellenRenshaw/hotsos | e3fc51ab7f8af606a5846a3486a7fda23d761583 | [
"Apache-2.0"
] | 17 | 2016-07-07T23:39:17.000Z | 2020-05-06T14:03:54.000Z | tests/unit/fake_data_root/vault/var/lib/juju/agents/unit-vault-hacluster-0/charm/hooks/utils.py | KellenRenshaw/hotsos | e3fc51ab7f8af606a5846a3486a7fda23d761583 | [
"Apache-2.0"
] | 111 | 2021-10-01T18:18:17.000Z | 2022-03-29T12:23:20.000Z | tests/unit/fake_data_root/vault/var/lib/juju/agents/unit-vault-hacluster-0/charm/hooks/utils.py | KellenRenshaw/hotsos | e3fc51ab7f8af606a5846a3486a7fda23d761583 | [
"Apache-2.0"
] | 20 | 2016-11-03T04:04:09.000Z | 2021-01-04T20:40:43.000Z | #!/usr/bin/python
#
# Copyright 2016 Canonical Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | 33.161963 | 79 | 0.643024 | #!/usr/bin/python
#
# Copyright 2016 Canonical Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | 0 | 270 | 0 | 799 | 0 | 11,160 | 0 | 229 | 803 |
dc846139a64da96893d81c6eddfca55ea20f7f1e | 70,433 | py | Python | autots/evaluator/auto_model.py | nsankar/AutoTS | b4167e1506e1ccb41a85dad1be481a646d808583 | [
"MIT"
] | null | null | null | autots/evaluator/auto_model.py | nsankar/AutoTS | b4167e1506e1ccb41a85dad1be481a646d808583 | [
"MIT"
] | null | null | null | autots/evaluator/auto_model.py | nsankar/AutoTS | b4167e1506e1ccb41a85dad1be481a646d808583 | [
"MIT"
] | null | null | null | """Mid-level helper functions for AutoTS."""
import numpy as np
import pandas as pd
import datetime
import json
from hashlib import md5
from autots.evaluator.metrics import PredictionEval
from autots.tools.transform import RandomTransform
def seasonal_int(include_one: bool = False):
"""Generate a random integer o... | 37.907966 | 181 | 0.582397 | """Mid-level helper functions for AutoTS."""
import numpy as np
import pandas as pd
import datetime
import json
from hashlib import md5
from autots.evaluator.metrics import PredictionEval
from autots.tools.transform import RandomTransform
def seasonal_int(include_one: bool = False):
"""Generate a random integer o... | 0 | 0 | 0 | 6,864 | 0 | 647 | 0 | 0 | 92 |
b6fd8e198c7dfa420a6d4c45a470a2d144bb9ee4 | 1,025 | py | Python | aoc2020/day12/day12_part2.py | GetPastTheMonkey/advent-of-code | db80be6d87baba4d5315cc69276905c55762da86 | [
"MIT"
] | 1 | 2019-09-15T16:37:24.000Z | 2019-09-15T16:37:24.000Z | aoc2020/day12/day12_part2.py | GetPastTheMonkey/advent-of-code | db80be6d87baba4d5315cc69276905c55762da86 | [
"MIT"
] | null | null | null | aoc2020/day12/day12_part2.py | GetPastTheMonkey/advent-of-code | db80be6d87baba4d5315cc69276905c55762da86 | [
"MIT"
] | null | null | null | from utils import get_input_lines
pos_x = 0
pos_y = 0
waypoint_x = 10
waypoint_y = 1
for line in get_input_lines(__file__):
action = line[0]
n = int(line[1:])
# Handle actions
if action == "N":
waypoint_y += n
elif action == "S":
waypoint_y -= n
elif action == "E":
wa... | 25 | 68 | 0.537561 | from utils import get_input_lines
pos_x = 0
pos_y = 0
waypoint_x = 10
waypoint_y = 1
for line in get_input_lines(__file__):
action = line[0]
n = int(line[1:])
# Handle actions
if action == "N":
waypoint_y += n
elif action == "S":
waypoint_y -= n
elif action == "E":
wa... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2326b0fce7d21d579893e74d3e91c5354e98cf2f | 282 | py | Python | src/year2019/day13a.py | lancelote/advent_of_code | 06dda6ca034bc1e86addee7798bb9b2a34ff565b | [
"Unlicense"
] | 10 | 2017-12-11T17:54:52.000Z | 2021-12-09T20:16:30.000Z | src/year2019/day13a.py | lancelote/advent_of_code | 06dda6ca034bc1e86addee7798bb9b2a34ff565b | [
"Unlicense"
] | 260 | 2015-12-09T11:03:03.000Z | 2021-12-12T14:32:23.000Z | src/year2019/day13a.py | lancelote/advent_of_code | 06dda6ca034bc1e86addee7798bb9b2a34ff565b | [
"Unlicense"
] | null | null | null | """2019 - Day 13 Part 1: Care Package."""
from src.year2019.intcode import Computer
def solve(task: str) -> int:
"""Count the number of blocks."""
computer = Computer()
computer.load_program(task)
computer.execute()
return list(computer.stdout)[2::3].count(2)
| 25.636364 | 47 | 0.666667 | """2019 - Day 13 Part 1: Care Package."""
from src.year2019.intcode import Computer
def solve(task: str) -> int:
"""Count the number of blocks."""
computer = Computer()
computer.load_program(task)
computer.execute()
return list(computer.stdout)[2::3].count(2)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6af6580ccb03ce18151efe09dbeb559263c69624 | 1,816 | py | Python | examples/fontforge-old/demoAddToMenu.py | simoncozens/pysilfont | bb8a9fc58a83e074bbcc466ba058841845b9107e | [
"MIT"
] | 41 | 2015-05-21T21:12:26.000Z | 2022-02-17T17:23:14.000Z | examples/fontforge-old/demoAddToMenu.py | simoncozens/pysilfont | bb8a9fc58a83e074bbcc466ba058841845b9107e | [
"MIT"
] | 63 | 2015-05-15T10:25:55.000Z | 2021-02-23T04:51:17.000Z | examples/fontforge-old/demoAddToMenu.py | simoncozens/pysilfont | bb8a9fc58a83e074bbcc466ba058841845b9107e | [
"MIT"
] | 12 | 2015-06-12T11:52:08.000Z | 2020-09-23T10:40:59.000Z | #!/usr/bin/env python
'FontForge: Demo script to add menu items to FF tools menu'
__url__ = 'http://github.com/silnrsi/pysilfont'
__copyright__ = 'Copyright (c) 2014 SIL International (http://www.sil.org)'
__license__ = 'Released under the MIT License (http://opensource.org/licenses/MIT)'
__author__ = 'David Raymond'
... | 46.564103 | 102 | 0.785793 | #!/usr/bin/env python
'FontForge: Demo script to add menu items to FF tools menu'
__url__ = 'http://github.com/silnrsi/pysilfont'
__copyright__ = 'Copyright (c) 2014 SIL International (http://www.sil.org)'
__license__ = 'Released under the MIT License (http://opensource.org/licenses/MIT)'
__author__ = 'David Raymond'
... | 0 | 0 | 0 | 0 | 0 | 94 | 0 | 0 | 23 |
46615d419dda76960016bd1ad4896644e6b356d7 | 29,475 | py | Python | tensor2struct/utils/tree_kernels.py | chenyangh/tensor2struct-public | d3257cba6d76d3c658a58a78f687d986bdc755cf | [
"MIT"
] | 69 | 2021-04-14T06:35:07.000Z | 2022-03-31T18:35:05.000Z | tensor2struct/utils/tree_kernels.py | chenyangh/tensor2struct-public | d3257cba6d76d3c658a58a78f687d986bdc755cf | [
"MIT"
] | 11 | 2021-04-16T11:16:04.000Z | 2022-03-22T21:21:29.000Z | tensor2struct/utils/tree_kernels.py | chenyangh/tensor2struct-public | d3257cba6d76d3c658a58a78f687d986bdc755cf | [
"MIT"
] | 18 | 2021-04-14T07:19:56.000Z | 2022-03-23T19:26:18.000Z |
####
| 41.927454 | 145 | 0.397116 | import math
from copy import deepcopy
from tensor2struct.utils import tree
class Kernel:
# Common routines for kernel functions
def kernel(self, a, b):
# compute the tree kernel on the trees a and b
if not isinstance(a, tree.Tree):
print("ERROR: first parameter has to be a Tree Ob... | 0 | 0 | 0 | 29,200 | 0 | 0 | 0 | 9 | 251 |
162b83394afde2c91cf06578b6a90603be379765 | 469 | py | Python | Question_nlp/answers/onehot.py | skn047/DeepLearningMugenKnock | 73d2b903816b380d56020c8336041883bc0d131c | [
"MIT"
] | 10 | 2021-12-17T06:07:25.000Z | 2022-03-25T13:50:05.000Z | Question_nlp/answers/onehot.py | skn047/DeepLearningMugenKnock | 73d2b903816b380d56020c8336041883bc0d131c | [
"MIT"
] | null | null | null | Question_nlp/answers/onehot.py | skn047/DeepLearningMugenKnock | 73d2b903816b380d56020c8336041883bc0d131c | [
"MIT"
] | 2 | 2022-03-15T02:42:09.000Z | 2022-03-30T23:19:55.000Z | _chars = ""
chars = [c for c in _chars]
print(data_load())
| 23.45 | 106 | 0.556503 | _chars = "あいうおえかきくけこさしすせそたちつてとなにぬねのはひふへほまみむめもやゆよらりるれろわをんがぎぐげござじずぜぞだぢづでどばびぶべぼぱぴぷぺぽぁぃぅぇぉゃゅょっー１２３４５６７８９０！？、。"
chars = [c for c in _chars]
def data_load():
fname = 'sandwitchman.txt'
xs = []
with open(fname, 'r') as f:
for l in f.readlines():
l = l.strip()
for c in l:
... | 285 | 0 | 0 | 0 | 0 | 291 | 0 | 0 | 23 |
12774b82ae587f55749e4d546d6743b03cdf3463 | 590 | py | Python | problems/593.Valid_Square/li.py | subramp-prep/leetcode | d125201d9021ab9b1eea5e5393c2db4edd84e740 | [
"Unlicense"
] | null | null | null | problems/593.Valid_Square/li.py | subramp-prep/leetcode | d125201d9021ab9b1eea5e5393c2db4edd84e740 | [
"Unlicense"
] | null | null | null | problems/593.Valid_Square/li.py | subramp-prep/leetcode | d125201d9021ab9b1eea5e5393c2db4edd84e740 | [
"Unlicense"
] | null | null | null | # coding=utf-8
# Author: Jianghan LI
# Question: 593.Valid_Square
# Date: 2017-05-22
| 26.818182 | 137 | 0.477966 | # coding=utf-8
# Author: Jianghan LI
# Question: 593.Valid_Square
# Date: 2017-05-22
class Solution(object):
def validSquare(self, p1, p2, p3, p4):
"""
:type p1: List[int]
:type p2: List[int]
:type p3: List[int]
:type p4: List[int]
:rtype: bool
"""
... | 0 | 0 | 0 | 481 | 0 | 0 | 0 | 0 | 23 |
f1f4c0e148288296136b5caf6748c31645cc02a9 | 769 | py | Python | Tuples and Sets - Exercise/07. Battle of Names.py | B3WD/python_advanced | 477b2eac41f1ec5a172d612afda1096a9d7fb2f5 | [
"MIT"
] | 1 | 2020-10-28T07:52:17.000Z | 2020-10-28T07:52:17.000Z | Tuples and Sets - Exercise/07. Battle of Names.py | B3WD/python_advanced_softuni | 477b2eac41f1ec5a172d612afda1096a9d7fb2f5 | [
"MIT"
] | null | null | null | Tuples and Sets - Exercise/07. Battle of Names.py | B3WD/python_advanced_softuni | 477b2eac41f1ec5a172d612afda1096a9d7fb2f5 | [
"MIT"
] | null | null | null |
lines_count = int(input())
lines = [input() for _ in range(lines_count)]
solve(lines) | 27.464286 | 62 | 0.587776 | def solve(liens):
results_odd = set()
results_even = set()
for i, name in enumerate(lines):
ascii_sum = 0
for char in name:
ascii_sum += ord(char)
result = int(ascii_sum / (i + 1))
if result % 2 != 0:
results_odd.add(result)
else:
r... | 0 | 0 | 0 | 0 | 0 | 658 | 0 | 0 | 22 |
bc177fd76c0ff5e5ec9943fd6750ff2dfe5cb200 | 3,707 | py | Python | sdk/python/touca/_printer.py | trytouca/trytouca | eae38a96407d1ecac543c5a5fb05cbbe632ddfca | [
"Apache-2.0"
] | 6 | 2022-03-19T02:57:11.000Z | 2022-03-31T16:34:34.000Z | sdk/python/touca/_printer.py | trytouca/trytouca | eae38a96407d1ecac543c5a5fb05cbbe632ddfca | [
"Apache-2.0"
] | null | null | null | sdk/python/touca/_printer.py | trytouca/trytouca | eae38a96407d1ecac543c5a5fb05cbbe632ddfca | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Touca, Inc. Subject to Apache-2.0 License.
from colorama import init
init()
| 34.971698 | 88 | 0.534394 | # Copyright 2021 Touca, Inc. Subject to Apache-2.0 License.
import math
from pathlib import Path
from colorama import Style, Fore, Back, init
init()
class Printer:
def print_warning(fmt: str, *args, **kwargs):
print(f"{Fore.YELLOW}{fmt.format(*args, **kwargs)}{Fore.RESET}")
def print_error(fmt: str... | 3 | 0 | 0 | 3,531 | 0 | 0 | 0 | 12 | 68 |
55dadc90c2f9fdbe258867ab069d2c73b2196055 | 394 | py | Python | siphon/__init__.py | DanielWatkins/siphon | 4c6740c2f8030ec1a23cafd8b8b9713dcd382cb2 | [
"BSD-3-Clause"
] | 1 | 2019-05-31T14:02:08.000Z | 2019-05-31T14:02:08.000Z | siphon/__init__.py | DanielWatkins/siphon | 4c6740c2f8030ec1a23cafd8b8b9713dcd382cb2 | [
"BSD-3-Clause"
] | 147 | 2021-03-06T01:01:13.000Z | 2022-03-30T22:18:18.000Z | siphon/__init__.py | DanielWatkins/siphon | 4c6740c2f8030ec1a23cafd8b8b9713dcd382cb2 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2013-2015 Siphon Contributors.
# Distributed under the terms of the BSD 3-Clause License.
# SPDX-License-Identifier: BSD-3-Clause
"""Tools for accessing atmospheric and oceanic science data on remote servers."""
# Version import needs to come first so everyone else can pull on import
from ._version imp... | 39.4 | 81 | 0.786802 | # Copyright (c) 2013-2015 Siphon Contributors.
# Distributed under the terms of the BSD 3-Clause License.
# SPDX-License-Identifier: BSD-3-Clause
"""Tools for accessing atmospheric and oceanic science data on remote servers."""
# Version import needs to come first so everyone else can pull on import
from ._version imp... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d33d5c69746ae0b6fef212b68e6a477d56434fb5 | 88 | py | Python | Python/B2025.py | Epoch1017/LintCode-Shared-Solutions | d1559ef96917c4255e1ce2cf25ef17edec596ac3 | [
"CC0-1.0"
] | null | null | null | Python/B2025.py | Epoch1017/LintCode-Shared-Solutions | d1559ef96917c4255e1ce2cf25ef17edec596ac3 | [
"CC0-1.0"
] | null | null | null | Python/B2025.py | Epoch1017/LintCode-Shared-Solutions | d1559ef96917c4255e1ce2cf25ef17edec596ac3 | [
"CC0-1.0"
] | null | null | null | # B2025-
print(" *")
print(" ***")
print("*****")
print(" ***")
print(" *") | 14.666667 | 15 | 0.409091 | # B2025-输出字符菱形
print(" *")
print(" ***")
print("*****")
print(" ***")
print(" *") | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6adbb154ad2791f017881d82ab4f304608aa3b72 | 21,792 | py | Python | rave/filesystem.py | rave-engine/rave | 0eeb956363f4d7eda92350775d7d386550361273 | [
"BSD-2-Clause"
] | 5 | 2015-03-18T01:19:56.000Z | 2020-10-23T12:44:47.000Z | rave/filesystem.py | rave-engine/rave | 0eeb956363f4d7eda92350775d7d386550361273 | [
"BSD-2-Clause"
] | null | null | null | rave/filesystem.py | rave-engine/rave | 0eeb956363f4d7eda92350775d7d386550361273 | [
"BSD-2-Clause"
] | null | null | null | # rave's virtual file system.
import re
import rave.common
import rave.log
_log = rave.log.get(__name__)
# Canonical path separator.
PATH_SEPARATOR = '/'
# Root.
ROOT = '/'
# Unnormalized path pattern.
BAD_PATH_PATTERN = re.compile(r'(?:{0}{{2,}}|(?:{0}|^)\.+(?:{0}|$))'.format(PATH_SEPARATOR))
# Various standard mo... | 36.686869 | 149 | 0.62321 | # rave's virtual file system.
import os
import io
import re
import threading
import collections
import rave.common
import rave.log
_log = rave.log.get(__name__)
# Canonical path separator.
PATH_SEPARATOR = '/'
# Root.
ROOT = '/'
# Unnormalized path pattern.
BAD_PATH_PATTERN = re.compile(r'(?:{0}{{2,}}|(?:{0}|^)\.+(... | 0 | 0 | 0 | 19,766 | 0 | 861 | 0 | -32 | 748 |
dbf0337be9f2b428ff1ae5f70ee820bc2aaa584f | 802 | py | Python | geogebra_applet/views.py | Stasianna/geogebra-project | 33ddf30ec8b001f86fb35d336b8d53bcdf69231b | [
"MIT"
] | null | null | null | geogebra_applet/views.py | Stasianna/geogebra-project | 33ddf30ec8b001f86fb35d336b8d53bcdf69231b | [
"MIT"
] | null | null | null | geogebra_applet/views.py | Stasianna/geogebra-project | 33ddf30ec8b001f86fb35d336b8d53bcdf69231b | [
"MIT"
] | null | null | null | #from django.http import HttpResponse
#from django.http import response_redirect
| 32.08 | 70 | 0.77182 | #from django.http import HttpResponse
#from django.http import response_redirect
from django.shortcuts import render_to_response
from django.views.generic import DetailView, CreateView, TemplateView
from geogebra_applet.models import GeogebraApplet
class GeogebraAppletDetailView(DetailView):
model = GeogebraAppl... | 0 | 0 | 0 | 308 | 0 | 173 | 0 | 102 | 136 |
637cd14234add4d98a4167907d1629a8dc3593e3 | 6,036 | py | Python | test/test_diff_tar.py | gmertes/conda-mirror | 34b206e19d8c858676ce2b707da15165578e6f79 | [
"BSD-3-Clause"
] | 6 | 2020-10-09T15:55:57.000Z | 2021-07-29T11:08:10.000Z | test/test_diff_tar.py | gmertes/conda-mirror | 34b206e19d8c858676ce2b707da15165578e6f79 | [
"BSD-3-Clause"
] | 34 | 2020-09-05T05:08:16.000Z | 2022-03-09T15:13:55.000Z | test/test_diff_tar.py | gmertes/conda-mirror | 34b206e19d8c858676ce2b707da15165578e6f79 | [
"BSD-3-Clause"
] | 7 | 2020-09-07T09:45:59.000Z | 2022-01-20T20:16:38.000Z |
EMPTY_MD5 = "d41d8cd98f00b204e9800998ecf8427e"
| 29.588235 | 88 | 0.680583 | import os
import sys
import json
import shutil
import tempfile
from os.path import isfile, join
import pathlib
import pytest
import conda_mirror.diff_tar as dt
EMPTY_MD5 = "d41d8cd98f00b204e9800998ecf8427e"
@pytest.fixture
def tmpdir():
tmpdir = tempfile.mkdtemp()
dt.mirror_dir = join(tmpdir, "repo")
... | 0 | 244 | 0 | 0 | 0 | 5,077 | 0 | -38 | 683 |
926b3d6413e556587b0edd606bb4824c907485dd | 417 | py | Python | app/core/migrations/0005_item_slug.py | Andika7/microservice-django | 7c25635d7fe371a62f14d2e3b6685678354a0568 | [
"MIT"
] | null | null | null | app/core/migrations/0005_item_slug.py | Andika7/microservice-django | 7c25635d7fe371a62f14d2e3b6685678354a0568 | [
"MIT"
] | null | null | null | app/core/migrations/0005_item_slug.py | Andika7/microservice-django | 7c25635d7fe371a62f14d2e3b6685678354a0568 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.2 on 2020-02-05 10:54
| 20.85 | 54 | 0.58753 | # Generated by Django 3.0.2 on 2020-02-05 10:54
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0004_auto_20200205_1029'),
]
operations = [
migrations.AddField(
model_name='item',
name='slug',
... | 0 | 0 | 0 | 303 | 0 | 0 | 0 | 19 | 46 |
be8b6d00d6603fd9d2bfbc19d2ac5292cd519ac9 | 1,268 | py | Python | src/views/CmdView/deactivate.py | mehsoy/jaws | b79723c1fc549741494ebf5d948e94a44e971f2a | [
"MIT"
] | 1 | 2019-06-17T17:01:17.000Z | 2019-06-17T17:01:17.000Z | src/views/CmdView/deactivate.py | mehsoy/jaws | b79723c1fc549741494ebf5d948e94a44e971f2a | [
"MIT"
] | 7 | 2021-02-08T20:46:15.000Z | 2021-09-08T02:12:59.000Z | src/views/CmdView/deactivate.py | mehsoy/jaws | b79723c1fc549741494ebf5d948e94a44e971f2a | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
| 30.190476 | 77 | 0.576498 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import os
from views.CmdView.tokenify import Tokenify
from views.CmdView.command import Command
class Deactivate(Command):
def __init__(self, object, obj, id=None):
super(Deactivate, self).__init__(obj)
self.id = id
self.object = object
def e... | 0 | 0 | 0 | 1,105 | 0 | 0 | 0 | 30 | 90 |
277cfc2eaf7d209975206be666ec892e87746c43 | 4,457 | py | Python | datasets/utils.py | xdr940/cc | a98fe9b6c33c332a4c399f968032a90989c55672 | [
"MIT"
] | null | null | null | datasets/utils.py | xdr940/cc | a98fe9b6c33c332a4c399f968032a90989c55672 | [
"MIT"
] | 1 | 2019-08-16T07:09:22.000Z | 2019-09-04T04:59:51.000Z | datasets/utils.py | xdr940/cc | a98fe9b6c33c332a4c399f968032a90989c55672 | [
"MIT"
] | 1 | 2020-01-13T04:51:22.000Z | 2020-01-13T04:51:22.000Z |
#
#
#gt
| 30.319728 | 118 | 0.572582 | import numpy as np
from scipy.misc import imread
import torch
import random
def load_depth(path,format='png'):
if format=='npy':
tgt_depth = np.expand_dims(np.load(path), axis=0)
elif format=='png':
tgt_depth =np.expand_dims( imread(path), axis=0)
return torch.from_numpy(tgt_depth).float()... | 252 | 0 | 0 | 0 | 0 | 4,171 | 0 | -12 | 200 |
6377ca21c65dacd8a4f10dd4484517d8cf1d99aa | 6,665 | py | Python | modules/datastructures/TrainData_deepCSV.py | dntaylor/DeepJet | 249610b3b80543c8c84f5ba795bbb07c097f8150 | [
"Apache-2.0"
] | 1 | 2018-02-16T13:13:09.000Z | 2018-02-16T13:13:09.000Z | modules/datastructures/TrainData_deepCSV.py | dntaylor/DeepJet | 249610b3b80543c8c84f5ba795bbb07c097f8150 | [
"Apache-2.0"
] | null | null | null | modules/datastructures/TrainData_deepCSV.py | dntaylor/DeepJet | 249610b3b80543c8c84f5ba795bbb07c097f8150 | [
"Apache-2.0"
] | 5 | 2017-11-03T15:51:27.000Z | 2019-05-29T14:45:23.000Z | '''
Created on 21 Feb 2017
@author: jkiesele
'''
| 35.452128 | 103 | 0.580045 | '''
Created on 21 Feb 2017
@author: jkiesele
'''
from TrainDataDeepJet import TrainData_Flavour, TrainData_simpleTruth, TrainData_fullTruth, fileTimeOut
import numpy as np
class TrainData_deepCSV(TrainData_Flavour, TrainData_simpleTruth):
'''
same as TrainData_deepCSV but with 4 truth labels: B BB C UDSG
... | 0 | 0 | 0 | 6,401 | 0 | 0 | 0 | 79 | 113 |
589972506c18ceae6aaf9215a98021b547e17043 | 603 | py | Python | src/clover/demo.py | gregjhansell97/leprechaun | d31e8d1a4b0a91aee2902602224c924b0b89fa06 | [
"MIT"
] | null | null | null | src/clover/demo.py | gregjhansell97/leprechaun | d31e8d1a4b0a91aee2902602224c924b0b89fa06 | [
"MIT"
] | null | null | null | src/clover/demo.py | gregjhansell97/leprechaun | d31e8d1a4b0a91aee2902602224c924b0b89fa06 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from clover.gui import CloverApp
# may want to consider bounding speed
app = CloverApp(title="leo-demo")
| 20.793103 | 55 | 0.633499 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from clover.gui import CloverApp, Clock
# may want to consider bounding speed
app = CloverApp(title="leo-demo")
def tick(time_interval):
if app.world.gold is None or app.world.leo is None:
return
try:
gold_x, gold_y = app.world.gold.loc
... | 0 | 0 | 0 | 0 | 0 | 393 | 0 | 7 | 46 |
7c1efb98e5fd682a9bcfc00cec5517743f22f8a6 | 1,197 | py | Python | flatiron-notebook/test/test_languages.py | IllumiDesk/flatiron-stacks | 51ec24fefc35ccca0a1667ae20438db26a901d22 | [
"MIT"
] | null | null | null | flatiron-notebook/test/test_languages.py | IllumiDesk/flatiron-stacks | 51ec24fefc35ccca0a1667ae20438db26a901d22 | [
"MIT"
] | 2 | 2021-08-02T02:53:14.000Z | 2021-11-05T18:08:18.000Z | flatiron-notebook/test/test_languages.py | IllumiDesk/flatiron-stacks | 51ec24fefc35ccca0a1667ae20438db26a901d22 | [
"MIT"
] | 1 | 2020-10-21T16:08:46.000Z | 2020-10-21T16:08:46.000Z | import docker
from docker.errors import ContainerError
import logging
import pytest
LOGGER = logging.getLogger(__name__)
PYTHON_VERSION='3.9.5'
NOTEBOOK_IMAGE_TAG=f'python-{PYTHON_VERSION}'
def test_invalid_cmd():
"""Ensure that an invalid command returns a docker.errors.ContainerError
"""
with pyte... | 29.925 | 113 | 0.70259 | import docker
from docker.errors import ContainerError
import logging
import pytest
LOGGER = logging.getLogger(__name__)
PYTHON_VERSION='3.9.5'
NOTEBOOK_IMAGE_TAG=f'python-{PYTHON_VERSION}'
@pytest.mark.parametrize(
'language,version_output',
[
('python', ['Python', '3.9.5\n']),
],
)
def test... | 0 | 662 | 0 | 0 | 0 | 0 | 0 | 0 | 23 |
39b66c96fbaf8cecf65a0efb079529756c9fb5ba | 5,846 | py | Python | bot.py | rivermont/orka | 4719c3b758d85f9b340698b9b637af196a50cec2 | [
"MIT"
] | 1 | 2017-10-08T17:18:44.000Z | 2017-10-08T17:18:44.000Z | bot.py | rivermont/orka | 4719c3b758d85f9b340698b9b637af196a50cec2 | [
"MIT"
] | null | null | null | bot.py | rivermont/orka | 4719c3b758d85f9b340698b9b637af196a50cec2 | [
"MIT"
] | null | null | null | """
Orka Discord Bot
Copyright (c) 2017 William Bennett
"""
###########
# IMPORTS #
###########
from os import path, makedirs
###################
# OTHER FUNCTIONS #
###################
def add_msg(channel, text, mode='a+'):
"""
Appends a message to the end of a file.
"""
with open('channels/{0}.tx... | 34.591716 | 128 | 0.561923 | """
Orka Discord Bot
Copyright (c) 2017 William Bennett
"""
###########
# IMPORTS #
###########
import discord
import random
import markovify
from os import path, makedirs
from scripts import *
###################
# OTHER FUNCTIONS #
###################
def add_msg(channel, text, mode='a+'):
"""
Appends ... | 0 | 0 | 4,865 | 6 | 0 | 153 | 0 | -20 | 217 |
5dfc4ead3ddd6b27d4c94803fa33ddb4e209c9c4 | 20,054 | py | Python | composer/callbacks/checkpoint_saver.py | hanlint/composer | 83d96b7efde533cbc2fff7dd7e0769da2b177807 | [
"Apache-2.0"
] | null | null | null | composer/callbacks/checkpoint_saver.py | hanlint/composer | 83d96b7efde533cbc2fff7dd7e0769da2b177807 | [
"Apache-2.0"
] | null | null | null | composer/callbacks/checkpoint_saver.py | hanlint/composer | 83d96b7efde533cbc2fff7dd7e0769da2b177807 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 MosaicML. All Rights Reserved.
"""Callback to save checkpoints during training."""
from __future__ import annotations
import logging
from typing import Callable, Union
from composer.core import Event, State
from composer.core.time import Time, TimeUnit
log = logging.getLogger(__name__)
__all__ = ... | 49.761787 | 154 | 0.621472 | # Copyright 2021 MosaicML. All Rights Reserved.
"""Callback to save checkpoints during training."""
from __future__ import annotations
import logging
import os
import pathlib
import textwrap
from typing import Callable, List, Optional, Tuple, Union
from composer.core import Event, State
from composer.core.callback ... | 0 | 0 | 0 | 16,816 | 0 | 956 | 0 | 345 | 226 |
9df712a61c104af137c3836ef28840763dfb0311 | 5,919 | py | Python | wrapperNYU.py | Z7Gao/InverseRenderingOfIndoorScene | f245d20dcbe05b1de766c2e53af79fd489f58d74 | [
"MIT"
] | 171 | 2020-06-28T04:03:23.000Z | 2022-03-30T08:50:20.000Z | wrapperNYU.py | Z7Gao/InverseRenderingOfIndoorScene | f245d20dcbe05b1de766c2e53af79fd489f58d74 | [
"MIT"
] | 9 | 2020-08-20T08:56:38.000Z | 2022-01-19T19:53:51.000Z | wrapperNYU.py | Z7Gao/InverseRenderingOfIndoorScene | f245d20dcbe05b1de766c2e53af79fd489f58d74 | [
"MIT"
] | 19 | 2020-06-23T11:49:03.000Z | 2022-01-22T01:49:26.000Z |
# Return triplet of predictions, ground-truth and error
| 48.516393 | 167 | 0.66937 | import torch
from torch.autograd import Variable
import numpy as np
import torch.nn.functional as F
import models
# Return triplet of predictions, ground-truth and error
def wrapperNYU(dataBatch, opt,
encoder, albedoDecoder, normalDecoder, roughDecoder, depthDecoder ):
# Load data from cpu to gpu
normal_c... | 0 | 0 | 0 | 0 | 0 | 5,724 | 0 | 4 | 134 |