hexsha stringlengths 40 40 | size int64 6 1.04M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 247 | max_stars_repo_name stringlengths 4 130 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 368k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 247 | max_issues_repo_name stringlengths 4 130 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 116k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 247 | max_forks_repo_name stringlengths 4 130 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 1 1.04M | avg_line_length float64 1.53 618k | max_line_length int64 1 1.02M | alphanum_fraction float64 0 1 | original_content stringlengths 6 1.04M | filtered:remove_non_ascii int64 0 538k | filtered:remove_decorators int64 0 917k | filtered:remove_async int64 0 722k | filtered:remove_classes int64 -45 1M | filtered:remove_generators int64 0 814k | filtered:remove_function_no_docstring int64 -102 850k | filtered:remove_class_no_docstring int64 -3 5.46k | filtered:remove_unused_imports int64 -1,350 52.4k | filtered:remove_delete_markers int64 0 59.6k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5f230d76e6828208abb98ffbb36828dc5533f469 | 1,463 | py | Python | main.py | Beatrix-droid/python_dev_jobs_web_scraper | 1f80a35e9d13a7629dbfc696b2e6afe86aa43951 | [
"MIT"
] | null | null | null | main.py | Beatrix-droid/python_dev_jobs_web_scraper | 1f80a35e9d13a7629dbfc696b2e6afe86aa43951 | [
"MIT"
] | null | null | null | main.py | Beatrix-droid/python_dev_jobs_web_scraper | 1f80a35e9d13a7629dbfc696b2e6afe86aa43951 | [
"MIT"
] | null | null | null | import time
if __name__ == "__main__":
while True:
find_jobs()
time_wait = 10
time.sleep(time_wait*60)
print(f"waiting {time_wait} minutes")
| 26.6 | 73 | 0.656186 | from bs4 import BeautifulSoup
import requests
import time
def find_jobs():
html_text = requests.get("https://www.reed.co.uk/jobs/python-jobs").text
soup = BeautifulSoup(html_text, "lxml")
jobs = soup.find_all("article", class_="job-result")
for index, job in enumerate(jobs):
with open(f"job_posts/{index}.txt"... | 0 | 0 | 0 | 0 | 0 | 1,242 | 0 | 2 | 67 |
9a938c1d687d5da888500b5d97ff161b9267ea52 | 301 | py | Python | awesome_autodl/utils/__init__.py | yashsmehta/Awesome-AutoDL | 8c6b626a81398d71bbc8b8e28e13307279b8281e | [
"MIT"
] | null | null | null | awesome_autodl/utils/__init__.py | yashsmehta/Awesome-AutoDL | 8c6b626a81398d71bbc8b8e28e13307279b8281e | [
"MIT"
] | null | null | null | awesome_autodl/utils/__init__.py | yashsmehta/Awesome-AutoDL | 8c6b626a81398d71bbc8b8e28e13307279b8281e | [
"MIT"
] | null | null | null | ##################################################
# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021 #
##################################################
| 37.625 | 50 | 0.534884 | ##################################################
# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021 #
##################################################
from .yaml import load_yaml
from .yaml import dump_yaml
from .check import check_paper_and_correct_format
from .check import check_and_sort_by_date
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 88 |
1fdf77585fd1a3f6d2f1ed1af3d89d4e505f2e73 | 112 | py | Python | archon/model/orders.py | tebzzz/archon | 5276e06ccc2e08e034473108a4dd8e36b6ba6078 | [
"MIT"
] | 78 | 2018-09-20T12:50:42.000Z | 2021-12-17T11:44:03.000Z | archon/model/orders.py | tebzzz/archon | 5276e06ccc2e08e034473108a4dd8e36b6ba6078 | [
"MIT"
] | 49 | 2018-11-18T16:58:27.000Z | 2019-09-29T18:41:51.000Z | archon/model/orders.py | tebzzz/archon | 5276e06ccc2e08e034473108a4dd8e36b6ba6078 | [
"MIT"
] | 21 | 2018-09-20T11:31:50.000Z | 2021-10-19T17:01:47.000Z |
ORDER_SIDE_BUY = "BUY"
ORDER_SIDE_SELL = "SELL"
BITMEX_ORDER_SIDE_BUY = "Buy"
BITMEX_ORDER_SIDE_SELL = "Sell" | 16 | 31 | 0.767857 |
ORDER_SIDE_BUY = "BUY"
ORDER_SIDE_SELL = "SELL"
BITMEX_ORDER_SIDE_BUY = "Buy"
BITMEX_ORDER_SIDE_SELL = "Sell" | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
64a76364d75e50bdd41656b3feafc9d81e9fc40d | 748 | py | Python | helpers/PlotSolution.py | alonw/image-classifier-102 | f7b6415a7992fdb766d45f3200e49d0e8453bff8 | [
"MIT"
] | null | null | null | helpers/PlotSolution.py | alonw/image-classifier-102 | f7b6415a7992fdb766d45f3200e49d0e8453bff8 | [
"MIT"
] | null | null | null | helpers/PlotSolution.py | alonw/image-classifier-102 | f7b6415a7992fdb766d45f3200e49d0e8453bff8 | [
"MIT"
] | null | null | null | # TODO: Display an image along with the top 5 classes | 35.619048 | 78 | 0.680481 | # TODO: Display an image along with the top 5 classes
def plot_solution(image_path, model):
# Sets up our plot
plt.figure(figsize = (6,10))
ax = plt.subplot(2,1,1)
# Set up title
flower_num = image_path.split('/')[2]
title_ = cat_to_name[flower_num] # Calls dictionary for name
# Plot flower
... | 0 | 0 | 0 | 0 | 0 | 673 | 0 | 0 | 22 |
eeb847d7dfcb9a42c65709f96bd5a4de568765ca | 260 | py | Python | backend/apps/tags/handlers.py | brainless/sanctuary | 1d157b8e9105ee426d9ef8655623a4ef17ae0a37 | [
"MIT"
] | null | null | null | backend/apps/tags/handlers.py | brainless/sanctuary | 1d157b8e9105ee426d9ef8655623a4ef17ae0a37 | [
"MIT"
] | null | null | null | backend/apps/tags/handlers.py | brainless/sanctuary | 1d157b8e9105ee426d9ef8655623a4ef17ae0a37 | [
"MIT"
] | null | null | null | from fastapi import APIRouter
tags_router = APIRouter()
| 15.294118 | 47 | 0.676923 | from typing import List
from fastapi import APIRouter
from .tags import tags
tags_router = APIRouter()
@tags_router.get("/", response_model=List[str])
async def list_tags():
"""
List of all tag slugs
:return: List[str]
"""
return tags
| 0 | 130 | 0 | 0 | 0 | 0 | 0 | 3 | 68 |
2d66141a687845a166453cab40a540edfd8e9e5c | 6,037 | py | Python | tests/parser/test_nightscout.py | simli26/tconnectsync | 1314c4e6746e5943ed9cb601200cb28ff3361f6a | [
"MIT"
] | 47 | 2021-02-06T05:52:43.000Z | 2022-03-26T17:20:53.000Z | tests/parser/test_nightscout.py | simli26/tconnectsync | 1314c4e6746e5943ed9cb601200cb28ff3361f6a | [
"MIT"
] | 33 | 2021-03-15T22:36:47.000Z | 2022-03-18T13:06:30.000Z | tests/parser/test_nightscout.py | simli26/tconnectsync | 1314c4e6746e5943ed9cb601200cb28ff3361f6a | [
"MIT"
] | 37 | 2021-03-15T03:39:03.000Z | 2022-02-26T00:39:53.000Z | #!/usr/bin/env python3
import unittest
if __name__ == '__main__':
unittest.main() | 30.80102 | 85 | 0.43134 | #!/usr/bin/env python3
import unittest
from tconnectsync.parser.nightscout import NightscoutEntry, InvalidBolusTypeException
class TestNightscoutEntry(unittest.TestCase):
def test_basal(self):
self.assertEqual(
NightscoutEntry.basal(
value=1.05,
duration_mins=30... | 0 | 0 | 0 | 5,840 | 0 | 0 | 0 | 64 | 45 |
b4921781a101064b578b45079ea65e008f3c4763 | 2,178 | py | Python | kerosene_mnist/main.py | banctilrobitaille/kerosene-mnist | 6f1f39c575e9b32df254b2ae9b1e7ff25ea99378 | [
"MIT"
] | null | null | null | kerosene_mnist/main.py | banctilrobitaille/kerosene-mnist | 6f1f39c575e9b32df254b2ae9b1e7ff25ea99378 | [
"MIT"
] | null | null | null | kerosene_mnist/main.py | banctilrobitaille/kerosene-mnist | 6f1f39c575e9b32df254b2ae9b1e7ff25ea99378 | [
"MIT"
] | null | null | null | import logging
import torchvision
from kerosene.config.parsers import YamlConfigurationParser
from kerosene.config.trainers import RunConfiguration
from kerosene.events import Event
from kerosene.events.handlers.console import PrintTrainingStatus, PrintModelTrainersStatus
from kerosene.events.handlers.visdom import Pl... | 51.857143 | 120 | 0.79798 | import logging
import torchvision
from kerosene.config.parsers import YamlConfigurationParser
from kerosene.config.trainers import RunConfiguration
from kerosene.events import Event
from kerosene.events.handlers.console import PrintTrainingStatus, PrintModelTrainersStatus
from kerosene.events.handlers.visdom import Pl... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8169cad7f51c512b76782c551c8321dea37ccacf | 12,606 | py | Python | youtube-8m-ensemble/inference-pre-ensemble.py | wangheda/youtube-8m | 07e54b387ee027cb58b0c14f5eb7c88cfa516d58 | [
"Apache-2.0"
] | 196 | 2017-06-16T12:06:56.000Z | 2022-02-18T10:50:43.000Z | youtube-8m-ensemble/inference-pre-ensemble.py | wangheda/youtube-8m | 07e54b387ee027cb58b0c14f5eb7c88cfa516d58 | [
"Apache-2.0"
] | 5 | 2017-08-04T02:37:34.000Z | 2018-10-27T18:32:38.000Z | youtube-8m-ensemble/inference-pre-ensemble.py | wangheda/youtube-8m | 07e54b387ee027cb58b0c14f5eb7c88cfa516d58 | [
"Apache-2.0"
] | 71 | 2017-06-20T15:04:13.000Z | 2021-10-06T16:43:32.000Z | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | 38.432927 | 138 | 0.682373 | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | 0 | 0 | 0 | 0 | 0 | 7,514 | 0 | -40 | 359 |
34781f9f6c68c42580f01b8e1e3ecd122d840d09 | 736 | py | Python | code-slicer/joern/projects/octopus/python/octopus-tools/octopus/shelltool/ResultProcessor.py | bstee615/ReVeal | fc22d0d54a3a23d4e0bc45a249b7eea22749685e | [
"MIT"
] | 63 | 2020-09-24T07:51:45.000Z | 2022-03-24T03:34:43.000Z | code-slicer/joern/projects/octopus/python/octopus-tools/octopus/shelltool/ResultProcessor.py | smartcontract-detect-yzu/ReVeal | ca31b783384b4cdb09b69950e48f79fa0748ef1d | [
"MIT"
] | 16 | 2020-08-04T16:26:46.000Z | 2022-03-08T03:13:33.000Z | code-slicer/joern/projects/octopus/python/octopus-tools/octopus/shelltool/ResultProcessor.py | smartcontract-detect-yzu/ReVeal | ca31b783384b4cdb09b69950e48f79fa0748ef1d | [
"MIT"
] | 29 | 2020-09-08T17:27:07.000Z | 2022-03-31T22:32:39.000Z | #!/usr/bin/env python3
| 25.37931 | 53 | 0.535326 | #!/usr/bin/env python3
class BaseResultProcessor:
def __init__(self, result):
self.result = result
@staticmethod
def value(element,key):
prop = element['properties'].get(key,[])
if len(prop) == 0:
return None
return prop[0]['value']
@staticmethod
def id(e... | 0 | 194 | 0 | 472 | 0 | 0 | 0 | 0 | 46 |
4cc95b5f1eb7d150eba879c8c9c2bf603b7f95be | 39,673 | py | Python | upvote/gae/cron/bit9_syncing.py | farmersbusinessnetwork/upvote | a59653db40fabc43807e6f82cf68161fc50a7305 | [
"Apache-2.0"
] | null | null | null | upvote/gae/cron/bit9_syncing.py | farmersbusinessnetwork/upvote | a59653db40fabc43807e6f82cf68161fc50a7305 | [
"Apache-2.0"
] | 1 | 2018-11-06T20:51:36.000Z | 2018-11-06T20:51:36.000Z | upvote/gae/cron/bit9_syncing.py | farmersbusinessnetwork/upvote | a59653db40fabc43807e6f82cf68161fc50a7305 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 36.734259 | 113 | 0.729489 | # Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 0 | 14,691 | 0 | 5,066 | 0 | 624 | 0 | 181 | 591 |
1d7c053ab9249d12fae51a17d8280053c3c25c61 | 9,594 | py | Python | docker/src/clawpack-5.3.1/pyclaw/examples/euler_gravity_3d/visitHDF5XDMF.py | ian-r-rose/visualization | ed6d9fab95eb125e7340ab3fad3ed114ed3214af | [
"CC-BY-4.0"
] | 11 | 2017-01-04T18:19:48.000Z | 2021-02-21T01:46:33.000Z | docker/src/clawpack-5.3.1/pyclaw/examples/euler_gravity_3d/visitHDF5XDMF.py | ian-r-rose/visualization | ed6d9fab95eb125e7340ab3fad3ed114ed3214af | [
"CC-BY-4.0"
] | 8 | 2016-09-22T20:49:51.000Z | 2019-09-06T23:28:13.000Z | docker/src/clawpack-5.3.1/pyclaw/examples/euler_gravity_3d/visitHDF5XDMF.py | ian-r-rose/visualization | ed6d9fab95eb125e7340ab3fad3ed114ed3214af | [
"CC-BY-4.0"
] | 13 | 2016-09-22T20:20:06.000Z | 2020-07-13T14:48:32.000Z | #!/usr/bin/env python
# encoding: utf-8
"""
!-----------------------------------------------------------------------
! HDF5 and XDMF routines for creating output files for VisIt.
!-----------------------------------------------------------------------
"""
# Write a 2D HDF5 File for Rectilinear Mesh
# Write ... | 46.8 | 149 | 0.526579 | #!/usr/bin/env python
# encoding: utf-8
"""
!-----------------------------------------------------------------------
! HDF5 and XDMF routines for creating output files for VisIt.
!-----------------------------------------------------------------------
"""
import os,sys
import h5py
from numpy import *
# Write a 2D HD... | 0 | 0 | 0 | 0 | 0 | 8,764 | 0 | -20 | 220 |
037eba463814fc7430e8893db1753ffa0b4e0111 | 3,471 | py | Python | softnms_rotate.py | ZhangGongjie/Soft-NMS-for-Rotated-Rectangles | 52f274c16e68685f894ca0c5154a046ac658e490 | [
"MIT"
] | 16 | 2019-05-09T13:51:46.000Z | 2022-03-20T15:58:28.000Z | softnms_rotate.py | DefTruth/Soft-NMS-for-Rotated-Rectangles | 52f274c16e68685f894ca0c5154a046ac658e490 | [
"MIT"
] | null | null | null | softnms_rotate.py | DefTruth/Soft-NMS-for-Rotated-Rectangles | 52f274c16e68685f894ca0c5154a046ac658e490 | [
"MIT"
] | 2 | 2019-08-05T03:03:29.000Z | 2022-03-20T15:59:08.000Z | # -*- coding: utf-8 -*-
# Soft NMS for rotated rectangle, cpu implementation.
# Author: Gongjie Zhang
# GongjieZhang@ntu.edu.sg
# or GongjieZhang007@gmail.com
import numpy as np
import cv2
def softnms_rotate_cpu(boxes, scores, iou_threshold, final_threshold=0.001):
"""
:param boxes: format [x_c, y_c, w, h, t... | 30.447368 | 158 | 0.516854 | # -*- coding: utf-8 -*-
# Soft NMS for rotated rectangle, cpu implementation.
# Author: Gongjie Zhang
# GongjieZhang@ntu.edu.sg
# or GongjieZhang007@gmail.com
import numpy as np
import cv2
def softnms_rotate_cpu(boxes, scores, iou_threshold, final_threshold=0.001):
"""
:param boxes: format [x_c, y_c, w, h, t... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
54fbc656c3c2d700d937d8f62c82c50a0001ec0c | 2,289 | py | Python | SUMMARIZING-DATA-WITH-STATISTICS_Rajan_06Apr/code.py | rajan19933/ga-learner-dsmp-repo | c0b77164236b6f3f5cecd598351e557d9ed5d5a1 | [
"MIT"
] | null | null | null | SUMMARIZING-DATA-WITH-STATISTICS_Rajan_06Apr/code.py | rajan19933/ga-learner-dsmp-repo | c0b77164236b6f3f5cecd598351e557d9ed5d5a1 | [
"MIT"
] | null | null | null | SUMMARIZING-DATA-WITH-STATISTICS_Rajan_06Apr/code.py | rajan19933/ga-learner-dsmp-repo | c0b77164236b6f3f5cecd598351e557d9ed5d5a1 | [
"MIT"
] | null | null | null | # --------------
#Header files
import pandas as pd
import matplotlib.pyplot as plt
#path of the data file- path
data = pd.read_csv(path)
#Code starts here
data['Gender'] = data['Gender'].replace('-','Agender')
#print(data['Gender'])
gender_count = data['Gender'].value_counts()
#print(gender_count)
gender... | 23.357143 | 88 | 0.691568 | # --------------
#Header files
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
#path of the data file- path
data = pd.read_csv(path)
#Code starts here
data['Gender'] = data['Gender'].replace('-','Agender')
#print(data['Gender'])
gender_count = data['Gender'].value_counts()
#print(g... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | 23 |
2fb7b7ee2bb27c9dd256235c93f0786ae6402924 | 1,570 | py | Python | setup.py | priya1puresoftware/jsons | 65092a0a99a89abb0bd1aa0e68a99e25b12d96c4 | [
"MIT"
] | null | null | null | setup.py | priya1puresoftware/jsons | 65092a0a99a89abb0bd1aa0e68a99e25b12d96c4 | [
"MIT"
] | null | null | null | setup.py | priya1puresoftware/jsons | 65092a0a99a89abb0bd1aa0e68a99e25b12d96c4 | [
"MIT"
] | null | null | null | import os
from setuptools import setup
here = os.path.abspath(os.path.dirname(__file__))
meta_info = {}
with open(os.path.join(here, 'jsons', '_package_info.py'), 'r') as f:
exec(f.read(), meta_info)
with open('README.md', 'r') as f:
long_description = f.read()
setup(
name=meta_info['__title__'],
ve... | 27.54386 | 69 | 0.589809 | import os
from setuptools import setup
here = os.path.abspath(os.path.dirname(__file__))
meta_info = {}
with open(os.path.join(here, 'jsons', '_package_info.py'), 'r') as f:
exec(f.read(), meta_info)
with open('README.md', 'r') as f:
long_description = f.read()
setup(
name=meta_info['__title__'],
ve... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
923873e2632c557346e117fac64715848e5fd1d8 | 1,442 | py | Python | Toolbox/divide_and_conquer/inversions.py | felipe1120gomez/Data_Structures_and_Algorithms | 168e56f39201cadf375476a3bec976e99a391d4a | [
"MIT"
] | null | null | null | Toolbox/divide_and_conquer/inversions.py | felipe1120gomez/Data_Structures_and_Algorithms | 168e56f39201cadf375476a3bec976e99a391d4a | [
"MIT"
] | null | null | null | Toolbox/divide_and_conquer/inversions.py | felipe1120gomez/Data_Structures_and_Algorithms | 168e56f39201cadf375476a3bec976e99a391d4a | [
"MIT"
] | null | null | null | # Uses python3
import sys
def sort_list(left, right):
'''MergeSort() returns a sorted array and the number of inversions in .'''
sort_a = list()
count = 0
while left and right:
first_l = left[0]
first_r = right[0]
if first_l <= first_r:
sort_a.append(first_l)
... | 26.703704 | 82 | 0.613731 | # Uses python3
import sys
def sort_list(left, right):
'''MergeSort(𝐴) returns a sorted array 𝐴 and the number of inversions in 𝐴.'''
sort_a = list()
count = 0
while left and right:
first_l = left[0]
first_r = right[0]
if first_l <= first_r:
sort_a.append(first_l... | 58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8b149f8492a472a2de223f896423db1f86d6ef81 | 2,080 | py | Python | fss17/project/Utils/StatsUtils/CrossVal.py | rahlk/fss17 | 49e22c4ad01ff751f24c3e5702b7fa36a3a18e96 | [
"Apache-2.0"
] | null | null | null | fss17/project/Utils/StatsUtils/CrossVal.py | rahlk/fss17 | 49e22c4ad01ff751f24c3e5702b7fa36a3a18e96 | [
"Apache-2.0"
] | null | null | null | fss17/project/Utils/StatsUtils/CrossVal.py | rahlk/fss17 | 49e22c4ad01ff751f24c3e5702b7fa36a3a18e96 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function, division
| 31.044776 | 120 | 0.561058 | from __future__ import print_function, division
from pdb import set_trace
import pandas as pd
from sklearn.model_selection import StratifiedKFold
from sklearn.model_selection import LeaveOneOut
from itertools import islice
class TrainTestValidate:
def __init__(self):
pass
@classmeth... | 0 | 1,549 | 0 | 218 | 0 | 0 | 0 | 65 | 193 |
48b735ba732200fe4cd9410a128d4d624bbf2075 | 11,496 | py | Python | src/cnn/train.py | jordiae/DeepLearning-MAI | e12b6975d8de6cbe89f812bf691a7f7e95213552 | [
"MIT"
] | 1 | 2021-02-25T04:54:01.000Z | 2021-02-25T04:54:01.000Z | src/cnn/train.py | jordiae/DeepLearning-MAI | e12b6975d8de6cbe89f812bf691a7f7e95213552 | [
"MIT"
] | 2 | 2021-04-30T21:15:57.000Z | 2021-09-08T01:58:29.000Z | src/cnn/train.py | jordiae/DeepLearning-MAI | e12b6975d8de6cbe89f812bf691a7f7e95213552 | [
"MIT"
] | null | null | null | import torch.nn as nn
import torch.optim as optim
if __name__ == '__main__':
main()
| 44.215385 | 117 | 0.592641 | import torch
import argparse
import os
import logging
import torch.nn as nn
import torch.optim as optim
import albumentations as A
from albumentations.pytorch import ToTensorV2
from cnn.evaluate import evaluate, prettify_eval
from cnn.dataset import Mit67Dataset
import json
from torch.utils.tensorboard import SummaryWr... | 0 | 0 | 0 | 0 | 0 | 10,989 | 0 | 83 | 332 |
10763705c0db7d612a40657e4801c6b4ce299bf8 | 4,238 | py | Python | thatkitebot/__main__.py | GalacticB69/thatkitebot | d07ca24d5906c504d4275e9efe1c0713510b8c44 | [
"MIT"
] | null | null | null | thatkitebot/__main__.py | GalacticB69/thatkitebot | d07ca24d5906c504d4275e9efe1c0713510b8c44 | [
"MIT"
] | null | null | null | thatkitebot/__main__.py | GalacticB69/thatkitebot | d07ca24d5906c504d4275e9efe1c0713510b8c44 | [
"MIT"
] | null | null | null | # ------------------------------------------------------------------------------
# MIT License
#
# Copyright (c) 2019-2021 ThatRedKite
#
# 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 with... | 35.024793 | 118 | 0.674611 | # ------------------------------------------------------------------------------
# MIT License
#
# Copyright (c) 2019-2021 ThatRedKite
#
# 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 with... | 0 | 0 | 64 | 1,004 | 0 | 0 | 0 | 4 | 111 |
7fa8560456f0f722c33e89eeccc198dfbfe6e7b2 | 3,910 | py | Python | Emotions/src/spark-queries.py | kksante/Earths_Emotion_Tracker | 49011d35dc875302851172b30755592c2b35ed4f | [
"Apache-2.0"
] | null | null | null | Emotions/src/spark-queries.py | kksante/Earths_Emotion_Tracker | 49011d35dc875302851172b30755592c2b35ed4f | [
"Apache-2.0"
] | null | null | null | Emotions/src/spark-queries.py | kksante/Earths_Emotion_Tracker | 49011d35dc875302851172b30755592c2b35ed4f | [
"Apache-2.0"
] | null | null | null | from pyspark import SparkContext, SparkConf
from pyspark.sql import SQLContext
from pyspark.sql.functions import udf
from pyspark.sql.functions import col
from pyspark.sql.types import StringType, DoubleType, IntegerType
from abbreviations_dict import tofullname, toevent
from operator import itemgetter
from pyspark imp... | 37.238095 | 108 | 0.592583 | from pyspark import SparkContext, SparkConf
from pyspark.sql import SQLContext
from pyspark.sql.types import *
from pyspark.sql.functions import udf
from pyspark.sql.functions import col
from pyspark.sql.types import StringType, DoubleType, IntegerType
from abbreviations_dict import tofullname, toevent
from operator im... | 0 | 0 | 0 | 0 | 0 | 196 | 0 | 10 | 91 |
9c6d398844e7f0a0aececa3d63321ff80550891b | 5,127 | py | Python | higgins/datasets/messaging_datasets.py | bfortuner/higgins | c8ab098c1496ee9b45efc3fc667d894d86031f67 | [
"MIT"
] | null | null | null | higgins/datasets/messaging_datasets.py | bfortuner/higgins | c8ab098c1496ee9b45efc3fc667d894d86031f67 | [
"MIT"
] | null | null | null | higgins/datasets/messaging_datasets.py | bfortuner/higgins | c8ab098c1496ee9b45efc3fc667d894d86031f67 | [
"MIT"
] | null | null | null | SEND_MESSAGE_DATASET_TRAIN = [
{
"query": "Text mom I love her",
"actions": [
{
"action": "SendMessage",
"params": {
"recipient": "mom",
"body": "I love her",
"application": "???"
... | 31.262195 | 152 | 0.401989 | SEND_MESSAGE_DATASET_TRAIN = [
{
"query": "Text mom I love her",
"actions": [
{
"action": "SendMessage",
"params": {
"recipient": "mom",
"body": "I love her",
"application": "???"
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
accf4f94c1bf8bd6bc70f29aaae0873dee3797a9 | 707 | py | Python | examples/geomopt/01-geomeTRIC.py | pavanell/pyscf | c0d19e499685e95dbf4c879539ad3a3ceb6934e2 | [
"Apache-2.0"
] | 2 | 2019-05-28T05:25:56.000Z | 2019-11-09T02:16:43.000Z | examples/geomopt/01-geomeTRIC.py | pavanell/pyscf | c0d19e499685e95dbf4c879539ad3a3ceb6934e2 | [
"Apache-2.0"
] | 2 | 2019-09-16T17:58:31.000Z | 2019-09-22T17:26:01.000Z | examples/geomopt/01-geomeTRIC.py | pavanell/pyscf | c0d19e499685e95dbf4c879539ad3a3ceb6934e2 | [
"Apache-2.0"
] | 1 | 2019-11-09T02:13:16.000Z | 2019-11-09T02:13:16.000Z | #!/usr/bin/env python
'''
Use geomeTRIC library to optimize the molecular geometry.
'''
from pyscf import gto, scf
from pyscf.geomopt.geometric_solver import optimize
mol = gto.M(atom='N 0 0 0; N 0 0 1.2', basis='ccpvdz')
mf = scf.RHF(mol)
#
# geometry optimization for HF
#
mol_eq = optimize(mf)
print(mol_eq.atom_c... | 20.794118 | 57 | 0.680339 | #!/usr/bin/env python
'''
Use geomeTRIC library to optimize the molecular geometry.
'''
from pyscf import gto, scf
from pyscf.geomopt.geometric_solver import optimize
mol = gto.M(atom='N 0 0 0; N 0 0 1.2', basis='ccpvdz')
mf = scf.RHF(mol)
#
# geometry optimization for HF
#
mol_eq = optimize(mf)
print(mol_eq.atom_c... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2ddc2c560b265ea8691154025e3045e9c0599aa7 | 3,110 | py | Python | ppmessage/core/utils/randomidenticon.py | gamert/ppmessage | dd4aaf29154679a093b2431d5e34af889ab16932 | [
"Apache-2.0"
] | 6 | 2017-11-03T17:31:52.000Z | 2020-06-14T09:14:36.000Z | ppmessage/core/utils/randomidenticon.py | gamert/ppmessage | dd4aaf29154679a093b2431d5e34af889ab16932 | [
"Apache-2.0"
] | 1 | 2017-02-21T01:07:22.000Z | 2017-04-07T04:48:02.000Z | ppmessage/core/utils/randomidenticon.py | gamert/ppmessage | dd4aaf29154679a093b2431d5e34af889ab16932 | [
"Apache-2.0"
] | 16 | 2017-08-08T01:25:47.000Z | 2019-09-17T16:32:06.000Z | # -*- coding: utf-8 -*-
#
# Copyright (C) 2010-2016 PPMessage.
# Guijin Ding, dingguijin@gmail.com.
# All rights reserved.
#
# core/utils/randomidenticon.py
#
IDENTICON_PPMESSAGE_STORE = True
_global_random_identicon_list = None
if __name__ == "__main__":
print(random_identicon("dingguijin@gmail.com"))
| 28.272727 | 100 | 0.70836 | # -*- coding: utf-8 -*-
#
# Copyright (C) 2010-2016 PPMessage.
# Guijin Ding, dingguijin@gmail.com.
# All rights reserved.
#
# core/utils/randomidenticon.py
#
import os
import json
import logging
IDENTICON_PPMESSAGE_STORE = True
_global_random_identicon_list = None
def _ppmessage_identicon_prefix(_string):
from... | 0 | 0 | 0 | 0 | 0 | 2,502 | 0 | -29 | 325 |
f5a013fee13c4f1ea41cca392174e431d5c5dad5 | 184 | py | Python | Functions/Global Variable/Global.py | Adi-19/Python | 734b5c4c1008233f93a18a500dd47d03583c52be | [
"MIT"
] | null | null | null | Functions/Global Variable/Global.py | Adi-19/Python | 734b5c4c1008233f93a18a500dd47d03583c52be | [
"MIT"
] | null | null | null | Functions/Global Variable/Global.py | Adi-19/Python | 734b5c4c1008233f93a18a500dd47d03583c52be | [
"MIT"
] | 1 | 2020-10-07T08:51:00.000Z | 2020-10-07T08:51:00.000Z | var = "Good"
show()
print("outside function var1 is ", var1)
print("var is ",var)
| 16.727273 | 41 | 0.570652 | var = "Good"
def show():
global var1
var1 = "morning"
print("In function var is", var)
show()
print("outside function var1 is ", var1)
print("var is ",var)
| 0 | 0 | 0 | 0 | 0 | 67 | 0 | 0 | 23 |
65eb7be400705909dd0ab0d284dc05e7d8a8441c | 8,625 | py | Python | npc_engine/server/control_service.py | npc-engine/npc-engine | 0047794e96369c23515f794a1e77009c516a382c | [
"MIT"
] | 12 | 2021-11-10T21:03:19.000Z | 2022-03-21T21:55:34.000Z | npc_engine/server/control_service.py | npc-engine/npc-engine | 0047794e96369c23515f794a1e77009c516a382c | [
"MIT"
] | 1 | 2021-12-05T14:51:44.000Z | 2021-12-05T14:51:44.000Z | npc_engine/server/control_service.py | npc-engine/npc-engine | 0047794e96369c23515f794a1e77009c516a382c | [
"MIT"
] | null | null | null | """Module that implements control service."""
import zmq
import zmq.asyncio
from npc_engine import services
from npc_engine.server.metadata_manager import MetadataManager
def set_logger(logger_):
"""Set the logger for the service."""
global logger
logger = logger_
def service_process(me... | 39.383562 | 93 | 0.606029 | """Module that implements control service."""
from multiprocessing import Process
import asyncio
import json
import zmq
import zmq.asyncio
from npc_engine import services
from npc_engine.server.metadata_manager import MetadataManager
from jsonrpc import JSONRPCResponseManager, Dispatcher
from loguru import l... | 0 | 0 | 2,316 | 5,384 | 0 | 0 | 0 | 34 | 165 |
072340015e4276671f71e15e65e1bff755ea7a74 | 4,133 | py | Python | contrib/inventory/vagrant.py | Container-Projects/ansible-provider-docs | 100b695b0b0c4d8d08af362069557ffc735d0d7e | [
"PSF-2.0",
"BSD-2-Clause",
"MIT"
] | 37 | 2017-08-15T15:02:43.000Z | 2021-07-23T03:44:31.000Z | contrib/inventory/vagrant.py | Container-Projects/ansible-provider-docs | 100b695b0b0c4d8d08af362069557ffc735d0d7e | [
"PSF-2.0",
"BSD-2-Clause",
"MIT"
] | 12 | 2018-01-10T05:25:25.000Z | 2021-11-28T06:55:48.000Z | contrib/inventory/vagrant.py | Container-Projects/ansible-provider-docs | 100b695b0b0c4d8d08af362069557ffc735d0d7e | [
"PSF-2.0",
"BSD-2-Clause",
"MIT"
] | 49 | 2017-08-15T09:52:13.000Z | 2022-03-21T17:11:54.000Z | #!/usr/bin/env python
"""
Vagrant external inventory script. Automatically finds the IP of the booted vagrant vm(s), and
returns it under the host group 'vagrant'
Example Vagrant configuration using this script:
config.vm.provision :ansible do |ansible|
ansible.playbook = "./provision/your_playbook.yml"
... | 30.614815 | 112 | 0.676264 | #!/usr/bin/env python
"""
Vagrant external inventory script. Automatically finds the IP of the booted vagrant vm(s), and
returns it under the host group 'vagrant'
Example Vagrant configuration using this script:
config.vm.provision :ansible do |ansible|
ansible.playbook = "./provision/your_playbook.yml"
... | 0 | 0 | 0 | 0 | 0 | 374 | 0 | -12 | 66 |
9c565f64c6d04ccc5d1c5457f4cf3faae6c884f1 | 2,903 | py | Python | examples/language_model/gpt/predict.py | JeremyZhao1998/PaddleNLP | 5a34684a7f0c8a186043fed386be4b62cb85fb15 | [
"Apache-2.0"
] | 7,091 | 2021-02-05T13:56:25.000Z | 2022-03-31T11:42:50.000Z | examples/language_model/gpt/predict.py | JeremyZhao1998/PaddleNLP | 5a34684a7f0c8a186043fed386be4b62cb85fb15 | [
"Apache-2.0"
] | 844 | 2021-02-10T01:09:29.000Z | 2022-03-31T12:12:58.000Z | examples/language_model/gpt/predict.py | JeremyZhao1998/PaddleNLP | 5a34684a7f0c8a186043fed386be4b62cb85fb15 | [
"Apache-2.0"
] | 1,035 | 2021-02-05T14:26:48.000Z | 2022-03-31T11:42:57.000Z | # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
# Copyright (c) 2020 TsinghuaAI 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... | 35.839506 | 94 | 0.68102 | # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
# Copyright (c) 2020 TsinghuaAI 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... | 153 | 0 | 0 | 1,354 | 0 | 0 | 0 | 10 | 112 |
919f8645cec215ba1b51f210805ac9085cc7dbd3 | 17,200 | py | Python | tools/compbio/dotknot/mwis.py | PeterKoza/Galaxy-fmfi | 2c201b7cca694905412452a707ec69b2111f72c7 | [
"CC-BY-3.0"
] | null | null | null | tools/compbio/dotknot/mwis.py | PeterKoza/Galaxy-fmfi | 2c201b7cca694905412452a707ec69b2111f72c7 | [
"CC-BY-3.0"
] | null | null | null | tools/compbio/dotknot/mwis.py | PeterKoza/Galaxy-fmfi | 2c201b7cca694905412452a707ec69b2111f72c7 | [
"CC-BY-3.0"
] | null | null | null | """
DotKnot: software for RNA pseudoknot prediction
Copyright (C) 2010-2011 Jana Sperschneider
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
the Free Software Foundation; either version 2 of the L... | 50.292398 | 184 | 0.552674 | """
DotKnot: software for RNA pseudoknot prediction
Copyright (C) 2010-2011 Jana Sperschneider
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
the Free Software Foundation; either version 2 of the L... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
08394270021b47ba07ca3670928bf58c6f8e4d7d | 5,760 | py | Python | COMET/misc_plugins/TelegramResponderPlugins/RaspberryPiPlugins.py | dallaval5u/COMET | 8c5793faafe2797dd4100507aa0fe1e71cf9f6c0 | [
"MIT"
] | null | null | null | COMET/misc_plugins/TelegramResponderPlugins/RaspberryPiPlugins.py | dallaval5u/COMET | 8c5793faafe2797dd4100507aa0fe1e71cf9f6c0 | [
"MIT"
] | null | null | null | COMET/misc_plugins/TelegramResponderPlugins/RaspberryPiPlugins.py | dallaval5u/COMET | 8c5793faafe2797dd4100507aa0fe1e71cf9f6c0 | [
"MIT"
] | null | null | null | import re, os
def do_get_light_config(value, TelegramResponder):
"""Light? - Gives you the possible light configurations"""
for val in value.values():
if val.strip() == "Light?":
if (
"433MHz_Transiever"
in TelegramResponder.main.default_values_dict["setting... | 43.308271 | 85 | 0.448785 | import re, os
def do_get_light_config(value, TelegramResponder):
"""Light? - Gives you the possible light configurations"""
for val in value.values():
if val.strip() == "Light?":
if (
"433MHz_Transiever"
in TelegramResponder.main.default_values_dict["setting... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
22604bd2360d68fb2805721ecafb4bc2248fa39e | 1,778 | py | Python | master/test_master.py | moon657/IEEE1588-PTP | 0d52eebb893d194b09842985dbbfe66740a71e0e | [
"MIT"
] | 1 | 2017-05-12T03:10:56.000Z | 2017-05-12T03:10:56.000Z | master/test_master.py | moon657/IEEE1588-PTP | 0d52eebb893d194b09842985dbbfe66740a71e0e | [
"MIT"
] | null | null | null | master/test_master.py | moon657/IEEE1588-PTP | 0d52eebb893d194b09842985dbbfe66740a71e0e | [
"MIT"
] | null | null | null | #-------------------------------------------------------------------------------
# Name: Raspberry Pi Socket Client
# Purpose:
#
# Author: Vaibhav
#
# Created: 20/08/2014
# Copyright: (c) Vaibhav 2014
# Licence: <your licence>
#-------------------------------------------------------------... | 25.4 | 81 | 0.556243 | #-------------------------------------------------------------------------------
# Name: Raspberry Pi Socket Client
# Purpose:
#
# Author: Vaibhav
#
# Created: 20/08/2014
# Copyright: (c) Vaibhav 2014
# Licence: <your licence>
#-------------------------------------------------------------... | 0 | 0 | 0 | 0 | 0 | 1,089 | 0 | -21 | 197 |
d81dc5d957479d6adb2759654e5e7c34d411e4cc | 4,780 | py | Python | FaedoGuerraBot.py | Delfad0r/faedo-guerra-bot | 9a1318d48bb7eaab63bbffa5ef68e9076146d9ad | [
"Apache-2.0"
] | 1 | 2019-05-22T12:49:06.000Z | 2019-05-22T12:49:06.000Z | FaedoGuerraBot.py | Delfad0r/faedo-guerra-bot | 9a1318d48bb7eaab63bbffa5ef68e9076146d9ad | [
"Apache-2.0"
] | null | null | null | FaedoGuerraBot.py | Delfad0r/faedo-guerra-bot | 9a1318d48bb7eaab63bbffa5ef68e9076146d9ad | [
"Apache-2.0"
] | null | null | null | import copy
import getpass
import numpy as np
import pickle
import time
import random
import game_engine
channel_name = '@FaedoGuerraBotChannel'
print('Username UZ: ', end = '')
username = input()
password = getpass.getpass()
state0 = pickle.load(open(save_file, 'rb'))
while 'random_state' not in state0:
state0... | 40.854701 | 211 | 0.669456 | import copy
import getpass
import numpy as np
import pickle
import time
import shutil
import subprocess
import os
import random
import sys
from FGBconstants import *
import game_engine, game_graphics, telegram_bot, report
channel_name = '@FaedoGuerraBotChannel'
def upload_image_ssh(src, dest):
global username, ... | 10 | 0 | 0 | 0 | 0 | 3,154 | 0 | 7 | 355 |
37ad5f842b5780cbb5a3acccbecc643655c2e5de | 47 | py | Python | __init__.py | yinziyan1206/nado_utils | ab73776945ded94d86f632750514fae448e98a60 | [
"MIT"
] | null | null | null | __init__.py | yinziyan1206/nado_utils | ab73776945ded94d86f632750514fae448e98a60 | [
"MIT"
] | null | null | null | __init__.py | yinziyan1206/nado_utils | ab73776945ded94d86f632750514fae448e98a60 | [
"MIT"
] | null | null | null | __author__ = 'ziyan.yin'
__version__ = '1.0.2'
| 15.666667 | 24 | 0.680851 | __author__ = 'ziyan.yin'
__version__ = '1.0.2'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
aef7b74fb803248391c3a1f3bd1810d91cef610d | 1,991 | py | Python | unsorted_map.py | carlb15/Python | fa58835d532126c4cfb0baf4cb8d9d8a0e2703d2 | [
"MIT"
] | 2 | 2017-05-04T05:44:24.000Z | 2019-09-29T23:32:28.000Z | unsorted_map.py | carlb15/Python | fa58835d532126c4cfb0baf4cb8d9d8a0e2703d2 | [
"MIT"
] | null | null | null | unsorted_map.py | carlb15/Python | fa58835d532126c4cfb0baf4cb8d9d8a0e2703d2 | [
"MIT"
] | null | null | null | """Unsorted Table Map Implementation."""
if __name__=="__main__":
unsortedmap = UnsortedTableMap()
unsortedmap[4] = 'hello'
unsortedmap[5] = 'world'
unsortedmap[8] = 'joe'
print(len(unsortedmap))
print(unsortedmap)
del unsortedmap[4]
it = iter(unsortedmap)
print(next(it))
print(next(it))
... | 20.739583 | 64 | 0.607233 | """Unsorted Table Map Implementation."""
from MapBase import MapBase
class UnsortedTableMap(MapBase):
"""
Class that relies on storing key-value pairs in
arbitrary order within a Python list.
"""
def __init__(self):
"""Initialize the unsorted list."""
self._table = []
def __getitem__(self, k):... | 0 | 0 | 0 | 1,618 | 0 | 0 | 0 | 6 | 45 |
67b80703825e3ad040cdcf72d8dd2707ed85b70d | 3,447 | py | Python | SVM/Kernel.py | ruiyuanlu/MachineLearningImplementation | 22f3d6869b5a1cb48dd8db4388420ad3e3ef7aa6 | [
"MIT"
] | null | null | null | SVM/Kernel.py | ruiyuanlu/MachineLearningImplementation | 22f3d6869b5a1cb48dd8db4388420ad3e3ef7aa6 | [
"MIT"
] | null | null | null | SVM/Kernel.py | ruiyuanlu/MachineLearningImplementation | 22f3d6869b5a1cb48dd8db4388420ad3e3ef7aa6 | [
"MIT"
] | null | null | null | # coding=utf8
import warnings
def kernel(kernel_name=None, **kernel_params):
'''
'''
name2kernel = {
None: LinearKernel,
'linear': LinearKernel,
'rbf': RBFKernel,
'poly': PolynomialKernal,
'sigmoid':SigmoidKernel,
}
assert kernel_... | 25.533333 | 87 | 0.504497 | # coding=utf8
import warnings
import numpy as np
class AbstractSVMKernel(object):
'''
核函数类的基类, 计算核函数与内积
'''
def __init__(self, **kernel_params):
pass
def __call__(self, xi, xj):
raise NotImplementedError('Abstract inner product not implemented.')
class LinearK... | 564 | 0 | 0 | 2,158 | 0 | 0 | 0 | -3 | 148 |
6cdfba992a8dacb54f15f2c59663fef80bde65af | 3,457 | py | Python | datasets/TwoByTwoLines.py | rist-ro/argo | a10c33346803239db8a64c104db7f22ec4e05bef | [
"MIT"
] | 4 | 2020-12-07T19:13:13.000Z | 2022-01-30T18:52:18.000Z | datasets/TwoByTwoLines.py | rist-ro/argo | a10c33346803239db8a64c104db7f22ec4e05bef | [
"MIT"
] | 12 | 2020-09-25T22:41:28.000Z | 2022-02-09T23:46:34.000Z | datasets/TwoByTwoLines.py | rist-ro/argo | a10c33346803239db8a64c104db7f22ec4e05bef | [
"MIT"
] | 2 | 2021-03-02T18:31:04.000Z | 2021-03-02T21:56:43.000Z | """
Module for managing the IRIS dataset
"""
DATASET_SIZE = 15
| 27.436508 | 93 | 0.590686 | """
Module for managing the IRIS dataset
"""
import numpy as np
from .Dataset import Dataset
DATASET_SIZE = 15
class TwoByTwoLines(Dataset):
"""
This class manage the dataset
, properties of the datasets are uniquely determined
by the params dictionary
It compares the parameters and complete t... | 0 | 1,183 | 0 | 2,136 | 0 | 0 | 0 | 4 | 69 |
485cad4ffcc5f0b345efb170b142918fceded062 | 189 | py | Python | Lesson9/programming_lang.py | shinkai-tester/python_beginner | a934328c9a50241cc3f02a423060e16aab53b425 | [
"Apache-2.0"
] | 2 | 2021-06-01T13:24:04.000Z | 2021-06-01T13:27:47.000Z | Lesson9/programming_lang.py | shinkai-tester/python_beginner | a934328c9a50241cc3f02a423060e16aab53b425 | [
"Apache-2.0"
] | null | null | null | Lesson9/programming_lang.py | shinkai-tester/python_beginner | a934328c9a50241cc3f02a423060e16aab53b425 | [
"Apache-2.0"
] | null | null | null | N = int(input())
lang = set(input().split())
one = set(lang)
alll = set(lang)
for i in range(N - 1):
lang = set(input().split())
one |= lang
alll &= lang
print(alll)
print(one) | 17.181818 | 31 | 0.57672 | N = int(input())
lang = set(input().split())
one = set(lang)
alll = set(lang)
for i in range(N - 1):
lang = set(input().split())
one |= lang
alll &= lang
print(alll)
print(one) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
dc292b2fc1a41eabb71fc274884841527fb8c7fd | 5,264 | py | Python | pkr/environment.py | splisson-altair/pkr | be2135a8eec96e8ede0d47536aaac9872cf60edd | [
"Apache-2.0"
] | null | null | null | pkr/environment.py | splisson-altair/pkr | be2135a8eec96e8ede0d47536aaac9872cf60edd | [
"Apache-2.0"
] | null | null | null | pkr/environment.py | splisson-altair/pkr | be2135a8eec96e8ede0d47536aaac9872cf60edd | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 1986-2018 Altair Engineering Inc.
"""Module with the pkr environment"""
ENV_FOLDER = 'env'
| 30.08 | 79 | 0.590995 | # -*- coding: utf-8 -*-
# Copyright© 1986-2018 Altair Engineering Inc.
"""Module with the pkr environment"""
import yaml
from builtins import object
from .utils import HashableDict, ensure_definition_matches, get_pkr_path, merge
ENV_FOLDER = 'env'
class Environment(object):
"""Class for loading and holding pk... | 2 | 344 | 0 | 4,644 | 0 | 0 | 0 | 54 | 91 |
fde68e3b33daa8bcf6c0783cf0106af348d1c158 | 743 | py | Python | tests/test_core.py | sugatoray/genespeak | c3f57ad9fbedd5845fd279adcd83826b9a32e952 | [
"MIT"
] | 5 | 2022-01-16T12:12:09.000Z | 2022-03-11T23:17:43.000Z | tests/test_core.py | sugatoray/genespeak | c3f57ad9fbedd5845fd279adcd83826b9a32e952 | [
"MIT"
] | 3 | 2022-01-21T05:00:18.000Z | 2022-01-30T10:00:30.000Z | tests/test_core.py | sugatoray/genespeak | c3f57ad9fbedd5845fd279adcd83826b9a32e952 | [
"MIT"
] | null | null | null | # TODO: write proper tests
if __name__ == "__main__":
test_reconstruction()
| 28.576923 | 164 | 0.561238 | # TODO: write proper tests
def test_reconstruction():
from genespeak import text_to_dna, dna_to_text
texts = {"ascii": "A good life", "utf-8": "A good life 👍!..."}
schemas = [
"ACGT",
"GATC",
"ATGC",
]
for schema in schemas:
for strategy, text in texts.items():
... | 4 | 0 | 0 | 0 | 0 | 637 | 0 | 0 | 22 |
7f0760d5362fd41e3874df975e4ed7df8ec29971 | 3,057 | py | Python | tuesmon_ncurses/ui/views/projects.py | tuesmoncom/tuesmon-ncurses | 21cd4c39f2eed13e7fe42cac0e70d752f76382ca | [
"Apache-2.0"
] | null | null | null | tuesmon_ncurses/ui/views/projects.py | tuesmoncom/tuesmon-ncurses | 21cd4c39f2eed13e7fe42cac0e70d752f76382ca | [
"Apache-2.0"
] | null | null | null | tuesmon_ncurses/ui/views/projects.py | tuesmoncom/tuesmon-ncurses | 21cd4c39f2eed13e7fe42cac0e70d752f76382ca | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
tuesmon_ncurses.ui.views.projects
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
"""
| 31.515464 | 86 | 0.635918 | # -*- coding: utf-8 -*-
"""
tuesmon_ncurses.ui.views.projects
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
"""
import functools
import urwid
from tuesmon_ncurses.ui.widgets import generic, projects
from . import base
from .backlog import ProjectBacklogSubView
from .milestones import ProjectMilestoneSubView
from .issues import... | 0 | 0 | 0 | 2,606 | 0 | 0 | 0 | 99 | 250 |
82ad07ac41b7eebbea882cc6f11f501fe34982a5 | 590 | py | Python | packages/mono-upnp.py | mhutch/bockbuild | 0d989e2d0259d17d41a195f8d28b3844a4652e7b | [
"MIT"
] | null | null | null | packages/mono-upnp.py | mhutch/bockbuild | 0d989e2d0259d17d41a195f8d28b3844a4652e7b | [
"MIT"
] | null | null | null | packages/mono-upnp.py | mhutch/bockbuild | 0d989e2d0259d17d41a195f8d28b3844a4652e7b | [
"MIT"
] | null | null | null |
MonoUpnpPackage ()
| 26.818182 | 59 | 0.679661 | class MonoUpnpPackage (GitHubTarballPackage):
def __init__ (self):
GitHubTarballPackage.__init__ (self, 'mono', 'mono-upnp',
'0.1.2', 'b374ed41c566bc6ad50b3513218458b711e508db',
configure = './autogen.sh --prefix="%{prefix}"')
self.configure_flags = [
'--disable-tests',
]
self.sources.extend ([
#... | 0 | 0 | 0 | 548 | 0 | 0 | 0 | 0 | 22 |
21bb640e91c6d85eefe42b8c0956dd1ef3d64645 | 10,525 | py | Python | Legify/Holes.py | vectronic/freecad-legify-macros | ff5782adcc2f1e0724432ffb58ccdea91d594add | [
"MIT"
] | 18 | 2019-01-22T10:40:26.000Z | 2022-02-27T23:42:39.000Z | Legify/Holes.py | vectronic/freecad-legify-macros | ff5782adcc2f1e0724432ffb58ccdea91d594add | [
"MIT"
] | 3 | 2018-10-16T18:15:06.000Z | 2020-03-15T16:15:52.000Z | Legify/Holes.py | vectronic/freecad-legify-macros | ff5782adcc2f1e0724432ffb58ccdea91d594add | [
"MIT"
] | 3 | 2019-09-22T18:27:19.000Z | 2021-04-14T10:47:04.000Z | # coding: UTF-8
| 49.413146 | 117 | 0.646841 | # coding: UTF-8
from FreeCAD import Console, Placement, Rotation, Vector
import Part
import Sketcher
from Legify.Common import *
class HolesRenderer:
def __init__(self):
Console.PrintMessage("HolesRenderer\n")
self.doc = None
self.brick = None
self.width = None
self.dep... | 0 | 3,771 | 0 | 6,600 | 0 | 0 | 0 | 25 | 112 |
bce66ef1d5acf2467c683fae70f1ea66f6ccd9b2 | 23,406 | py | Python | poium/wda/__init__.py | yaoJeffer/poium | 68bce81c8648c184f4349543e97630fb92c7138b | [
"Apache-2.0"
] | 174 | 2019-11-28T02:01:55.000Z | 2022-03-13T03:20:42.000Z | poium/wda/__init__.py | yaoJeffer/poium | 68bce81c8648c184f4349543e97630fb92c7138b | [
"Apache-2.0"
] | 20 | 2020-01-14T16:28:51.000Z | 2022-03-25T11:47:05.000Z | poium/wda/__init__.py | yaoJeffer/poium | 68bce81c8648c184f4349543e97630fb92c7138b | [
"Apache-2.0"
] | 82 | 2019-12-22T07:43:15.000Z | 2022-03-13T03:20:43.000Z |
LOCATOR_LIST = [
"id",
"name",
"text",
"nameContains",
"label",
"xpath",
"labelContains",
"className",
"predicate",
"classChain"
]
| 31.502019 | 105 | 0.510425 | import time
from poium.common import logging
from poium.settings import Setting
from poium.processing import processing, screenshots_name
from poium.common.assert_des import insert_assert
LOCATOR_LIST = [
"id",
"name",
"text",
"nameContains",
"label",
"xpath",
"labelContains",
"classNa... | 2,856 | 1,504 | 0 | 20,542 | 0 | 0 | 0 | 78 | 156 |
967013f1e42eb89a6abe48e06320ccc9aa157768 | 11,435 | py | Python | tf_kde/benchmark/runner.py | AstroViking/tf-kde | a13deff0384b8d91af1d71909762242ff9b3e54e | [
"WTFPL"
] | 1 | 2021-11-19T03:00:47.000Z | 2021-11-19T03:00:47.000Z | tf_kde/benchmark/runner.py | AstroViking/tf-kde | a13deff0384b8d91af1d71909762242ff9b3e54e | [
"WTFPL"
] | 2 | 2020-11-06T14:05:46.000Z | 2021-02-12T17:39:00.000Z | tf_kde/benchmark/runner.py | AstroViking/tf-kde | a13deff0384b8d91af1d71909762242ff9b3e54e | [
"WTFPL"
] | 2 | 2021-06-14T09:25:16.000Z | 2021-11-19T03:00:49.000Z | import matplotlib.pyplot as plt
import seaborn as sns
import inspect
from tf_kde.benchmark import methods as available_methods
sns.set()
sns.set_context("paper")
plt.rc('axes', titlesize=8)
plt.rc('axes', labelsize=6)
plt.rc('xtick', labelsize=6)
plt.rc('ytick', labelsize=6)
plt.rc('legend', fontsize=6)
plt.rc('figu... | 33.931751 | 211 | 0.664801 | import tensorflow as tf
import numpy as np
from zfit import ztypes
from zfit_benchmark.timer import Timer
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import inspect
from decimal import Decimal
from scipy.interpolate import UnivariateSpline
from tf_kde.benchmark import distributions as ava... | 0 | 0 | 0 | 0 | 0 | 10,117 | 0 | 95 | 499 |
c4c4d5718bf617ce233d777af7e5cf10f6aac908 | 458 | py | Python | test.py | mwhavens/chess | 1f472caea9e314b4dc1ca074d6312e094b8b9c59 | [
"MIT"
] | null | null | null | test.py | mwhavens/chess | 1f472caea9e314b4dc1ca074d6312e094b8b9c59 | [
"MIT"
] | null | null | null | test.py | mwhavens/chess | 1f472caea9e314b4dc1ca074d6312e094b8b9c59 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
print(MyClass.__dict__['var3'])
clzz = MyClass()
clzz.my_method()
| 18.32 | 36 | 0.59607 | class MyClass:
__var2 = 'var2'
var3 = 'var3'
def __init__(self):
self.__var1 = 'var1'
def normal_method(self):
print(self.__var1)
@classmethod
def class_method(cls):
print(cls.__var2)
def my_method(self):
print(self.__var1)
print(self.__var2)
... | 0 | 43 | 0 | 286 | 0 | 0 | 0 | 0 | 22 |
a1f74c658b35e8e1718e81c568876b01cb135a61 | 431 | py | Python | changes/api/node_details.py | vault-the/changes | 37e23c3141b75e4785cf398d015e3dbca41bdd56 | [
"Apache-2.0"
] | 443 | 2015-01-03T16:28:39.000Z | 2021-04-26T16:39:46.000Z | changes/api/node_details.py | vault-the/changes | 37e23c3141b75e4785cf398d015e3dbca41bdd56 | [
"Apache-2.0"
] | 12 | 2015-07-30T19:07:16.000Z | 2016-11-07T23:11:21.000Z | changes/api/node_details.py | vault-the/changes | 37e23c3141b75e4785cf398d015e3dbca41bdd56 | [
"Apache-2.0"
] | 47 | 2015-01-09T10:04:00.000Z | 2020-11-18T17:58:19.000Z | from __future__ import absolute_import
| 25.352941 | 65 | 0.682135 | from __future__ import absolute_import
from changes.api.base import APIView
from changes.models.node import Node
class NodeDetailsAPIView(APIView):
def get(self, node_id):
node = Node.query.get(node_id)
if node is None:
return '', 404
context = self.serialize(node)
co... | 0 | 0 | 0 | 293 | 0 | 0 | 0 | 30 | 68 |
a15a2c976ee18c3117b30ea41926c8f499328569 | 13,308 | py | Python | GlobalPhone/dictionaries.py | MontrealCorpusTools/MFA-reorganization-scripts | 8c7a2bdbee6b17b5d06e9d5d267386f37773a70d | [
"MIT"
] | 28 | 2018-02-27T08:36:48.000Z | 2022-03-17T15:29:34.000Z | GlobalPhone/dictionaries.py | MontrealCorpusTools/MFA-reorganization-scripts | 8c7a2bdbee6b17b5d06e9d5d267386f37773a70d | [
"MIT"
] | null | null | null | GlobalPhone/dictionaries.py | MontrealCorpusTools/MFA-reorganization-scripts | 8c7a2bdbee6b17b5d06e9d5d267386f37773a70d | [
"MIT"
] | 5 | 2017-01-06T19:39:24.000Z | 2022-01-15T08:32:52.000Z | import os
full_names = {
'AR': 'Arabic',
'BG': 'Bulgarian',
'CH': 'Mandarin',
'CH_char': 'Mandarin',
'EN': 'English',
'WU': 'Cantonese',
'CR': 'Croatian',
'CZ': 'Czech',
'FR':... | 41.981073 | 235 | 0.53404 | import os
from collections import defaultdict
full_names = {
'AR': 'Arabic',
'BG': 'Bulgarian',
'CH': 'Mandarin',
'CH_char': 'Mandarin',
'EN': 'English',
'WU': 'Cantonese',
'CR': 'Croatian',
... | 130 | 0 | 0 | 0 | 0 | 1,435 | 0 | 14 | 68 |
fef2dbdf7939029991a9ebb80a5192eda981285e | 24,234 | py | Python | docs/notebooks/05_reconstructing_the_light_curve_of_stars.py | eserie/wax-ml | 9cf92ff5c41ea681fd3eaaf4560b3380f986ee1e | [
"MIT",
"ECL-2.0",
"Apache-2.0",
"BSD-3-Clause"
] | 42 | 2021-06-14T16:27:54.000Z | 2022-03-23T09:51:42.000Z | docs/notebooks/05_reconstructing_the_light_curve_of_stars.py | eserie/wax-ml | 9cf92ff5c41ea681fd3eaaf4560b3380f986ee1e | [
"MIT",
"ECL-2.0",
"Apache-2.0",
"BSD-3-Clause"
] | 1 | 2021-10-01T12:45:29.000Z | 2021-10-03T18:06:39.000Z | docs/notebooks/05_reconstructing_the_light_curve_of_stars.py | eserie/wax-ml | 9cf92ff5c41ea681fd3eaaf4560b3380f986ee1e | [
"MIT",
"ECL-2.0",
"Apache-2.0",
"BSD-3-Clause"
] | 5 | 2021-06-11T12:32:41.000Z | 2022-02-17T16:13:15.000Z | # -*- coding: utf-8 -*-
# ---
# jupyter:
# jupytext:
# formats: ipynb,py,md
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.13.3
# kernelspec:
# display_name: Python 3 (ipykernel)
# language: python
# name: python... | 29.662179 | 268 | 0.682966 | # -*- coding: utf-8 -*-
# ---
# jupyter:
# jupytext:
# formats: ipynb,py,md
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.13.3
# kernelspec:
# display_name: Python 3 (ipykernel)
# language: python
# name: python... | 8 | 1,369 | 0 | 1,006 | 0 | 3,920 | 0 | 75 | 418 |
45b55261b26fa5ae0d0a6aa3d7d59813e6759301 | 1,345 | py | Python | data-structures/graphs.py | Flor91/Data-Structures-and-Algorithms | 0bfac03d3714417adff7545c589f48f6b91ede8b | [
"MIT"
] | 8 | 2020-05-17T16:57:35.000Z | 2022-01-27T12:27:23.000Z | data-structures/graphs.py | Flor91/Data-Structures-and-Algorithms | 0bfac03d3714417adff7545c589f48f6b91ede8b | [
"MIT"
] | null | null | null | data-structures/graphs.py | Flor91/Data-Structures-and-Algorithms | 0bfac03d3714417adff7545c589f48f6b91ede8b | [
"MIT"
] | 5 | 2020-05-17T16:56:54.000Z | 2021-11-24T16:25:11.000Z | # Generate a graph with:
# Vertices
V = {"a", "b", "c", "d", "e"}
# Edges
E = {"ab", "ac", "bd", "cd", "de"}
# Create the dictionary with graph elements
graph_elements = { "a" : ["b","c"],
"b" : ["a", "d"],
"c" : ["a", "d"],
"d" : ["e"],
"e" : ["d"]
... | 24.017857 | 62 | 0.450558 | # Generate a graph with:
# Vertices
V = {"a", "b", "c", "d", "e"}
# Edges
E = {"ab", "ac", "bd", "cd", "de"}
class graph:
def __init__(self, gdict=None):
if gdict is None:
gdict = []
self.gdict = gdict
def get_vertices(self):
"""
Print graph vertices
"""... | 0 | 0 | 0 | 762 | 0 | 0 | 0 | 0 | 23 |
578a9c6c4953951a7de387cd1fed25ac967fc995 | 5,046 | py | Python | demo.py | EdwardjkFeng/RAFT | 756902fa429283218969a8285324a7dfbe81020e | [
"BSD-3-Clause"
] | null | null | null | demo.py | EdwardjkFeng/RAFT | 756902fa429283218969a8285324a7dfbe81020e | [
"BSD-3-Clause"
] | null | null | null | demo.py | EdwardjkFeng/RAFT | 756902fa429283218969a8285324a7dfbe81020e | [
"BSD-3-Clause"
] | null | null | null | import sys
import argparse
import os
sys.path.append('core')
DEVICE = 'cuda'
def make_dir_if_not_exist(path):
""" Make a directory if the input path does not exist
Args:
path (str): path to check and eventually create
"""
if not os.path.exists(path):
os.makedirs(path)
# ToDo: f... | 35.286713 | 148 | 0.624851 | import sys
import argparse
import os
import cv2
import glob
import numpy as np
import torch
from PIL import Image
import gc
from torch.profiler import profile, record_function, ProfilerActivity
import time
sys.path.append('core')
from core.raft import RAFT
from core.utils import flow_viz
from core.utils.utils impor... | 0 | 0 | 0 | 0 | 0 | 3,593 | 0 | 27 | 335 |
e52e4119be8d73e02db8ef1c246118c123dfa913 | 2,163 | py | Python | ostester/ccodegen.py | benstreb/os-test-harness | 2ebf63b0518534ca740a41280723d9e5fd75a4b6 | [
"0BSD"
] | null | null | null | ostester/ccodegen.py | benstreb/os-test-harness | 2ebf63b0518534ca740a41280723d9e5fd75a4b6 | [
"0BSD"
] | null | null | null | ostester/ccodegen.py | benstreb/os-test-harness | 2ebf63b0518534ca740a41280723d9e5fd75a4b6 | [
"0BSD"
] | null | null | null |
from jinja2 import Environment, PackageLoader
from . import utils
env = Environment(loader=PackageLoader('ostester', 'templates'),
trim_blocks=True,
lstrip_blocks=True)
env.filters['header_to_function_name'] = utils.header_to_function_name
env.filters['function_test_case_name'] = ... | 33.276923 | 71 | 0.679149 | import logging
import shutil
import os.path
from jinja2 import Environment, PackageLoader
from . import utils
import ostester
env = Environment(loader=PackageLoader('ostester', 'templates'),
trim_blocks=True,
lstrip_blocks=True)
env.filters['header_to_function_name'] = utils.heade... | 0 | 0 | 0 | 0 | 0 | 1,061 | 0 | -28 | 134 |
cbc121b9e37f2a9a03a4309e4cd2396dfd7a42e2 | 1,173 | py | Python | tests/test_model_run.py | LucaCappelletti94/keras_metrics | 2af59d26f7134a65e8332a29a3f7ae712b928f0e | [
"MIT"
] | null | null | null | tests/test_model_run.py | LucaCappelletti94/keras_metrics | 2af59d26f7134a65e8332a29a3f7ae712b928f0e | [
"MIT"
] | null | null | null | tests/test_model_run.py | LucaCappelletti94/keras_metrics | 2af59d26f7134a65e8332a29a3f7ae712b928f0e | [
"MIT"
] | null | null | null | import numpy as np
from extra_keras_metrics import (get_complete_binary_metrics, get_minimal_multiclass_metrics)
from tensorflow.keras.layers import Dense
from tensorflow.keras.models import Sequential
def test_binary_model_run():
"""Test that all metrics actually work when used with a Keras model."""
model =... | 29.325 | 75 | 0.637681 | import numpy as np
from extra_keras_metrics import (get_complete_binary_metrics,
get_minimal_multiclass_metrics)
from tensorflow.keras.layers import Dense
from tensorflow.keras.models import Sequential
def test_binary_model_run():
"""Test that all metrics actually work when used w... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0 |
35f754bfaf6ed81e41a059a2e8875bf26e576809 | 51 | py | Python | ddu_dirty_mnist/__init__.py | BlackHC/ddu_dirty_mnist | fdd4e0a4d5496bc3e3ba80359dd7cd67f564d955 | [
"Apache-2.0"
] | 3 | 2021-06-30T13:57:59.000Z | 2021-12-05T18:55:35.000Z | ddu_dirty_mnist/__init__.py | BlackHC/ddu_dirty_mnist | fdd4e0a4d5496bc3e3ba80359dd7cd67f564d955 | [
"Apache-2.0"
] | null | null | null | ddu_dirty_mnist/__init__.py | BlackHC/ddu_dirty_mnist | fdd4e0a4d5496bc3e3ba80359dd7cd67f564d955 | [
"Apache-2.0"
] | 1 | 2021-07-09T16:36:11.000Z | 2021-07-09T16:36:11.000Z | __version__ = "1.0.1"
| 10.2 | 26 | 0.686275 | __version__ = "1.0.1"
from .dirty_mnist import *
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 23 |
5dfd46f6c293126c9b934ec77f0c1d85d804407b | 1,288 | py | Python | compute.py | mpi3d/sigfm | 5bdcf5df70616ce1e4371c67b46bb06c88dd5924 | [
"MIT"
] | 2 | 2021-10-12T17:32:24.000Z | 2021-11-19T12:09:15.000Z | compute.py | mpi3d/sigfm | 5bdcf5df70616ce1e4371c67b46bb06c88dd5924 | [
"MIT"
] | null | null | null | compute.py | mpi3d/sigfm | 5bdcf5df70616ce1e4371c67b46bb06c88dd5924 | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
compute_finger('fingerprints/finger-0', 'fingerprints/clear.png',
'fingerprints/finger-0.npz')
| 32.2 | 78 | 0.528727 | import os
import cv2 as cv
import numpy as np
def compute_finger(images_path: str, clear_path: str, save_path: str) -> None:
finger = []
sift = cv.SIFT_create()
clear: np.ndarray = cv.imread(clear_path, 0)
for root, _, files in os.walk(images_path):
for file in files:
if file.ends... | 0 | 0 | 0 | 0 | 0 | 1,070 | 0 | -20 | 90 |
13888b5d56c53c05586ca7dbbbcd8dadda43b2ba | 4,849 | py | Python | habitat_baselines/rl/models/rnn_state_encoder.py | yilundu/crl | 6adf009d30f292cdc995eb70bab500b0033c11d4 | [
"MIT"
] | 17 | 2021-05-07T20:32:45.000Z | 2021-12-09T13:31:08.000Z | habitat_baselines/rl/models/rnn_state_encoder.py | yilundu/crl | 6adf009d30f292cdc995eb70bab500b0033c11d4 | [
"MIT"
] | null | null | null | habitat_baselines/rl/models/rnn_state_encoder.py | yilundu/crl | 6adf009d30f292cdc995eb70bab500b0033c11d4 | [
"MIT"
] | 1 | 2021-09-20T08:51:37.000Z | 2021-09-20T08:51:37.000Z | import torch.nn as nn
| 32.986395 | 136 | 0.570633 | import torch
import torch.nn as nn
class RNNStateEncoder(nn.Module):
def __init__(
self,
input_size: int,
hidden_size: int,
num_layers: int = 1,
rnn_type: str = "GRU",
):
r"""An RNN for encoding the state in RL.
Supports masking the hidden state during ... | 0 | 129 | 0 | 4,661 | 0 | 0 | 0 | -9 | 45 |
ab925ae7a31f712afc2f0cd972122c4d672df630 | 1,930 | py | Python | dashboard/migrations/0053_auto_20210916_2210.py | chennisden/otis-web | 57a1de9c1c3baa2cda09d30c59462a528aa3ba00 | [
"MIT"
] | 15 | 2021-08-28T18:18:37.000Z | 2022-03-13T07:48:15.000Z | dashboard/migrations/0053_auto_20210916_2210.py | chennisden/otis-web | 57a1de9c1c3baa2cda09d30c59462a528aa3ba00 | [
"MIT"
] | 65 | 2021-08-20T02:37:27.000Z | 2022-02-07T17:19:23.000Z | dashboard/migrations/0053_auto_20210916_2210.py | chennisden/otis-web | 57a1de9c1c3baa2cda09d30c59462a528aa3ba00 | [
"MIT"
] | 31 | 2020-01-09T02:35:29.000Z | 2022-03-13T07:48:18.000Z | # Generated by Django 3.2.7 on 2021-09-17 02:10
| 41.956522 | 257 | 0.653368 | # Generated by Django 3.2.7 on 2021-09-17 02:10
import dashboard.models
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('dashboard', '0052_auto_20210916_2115'),
]
operations = [
migrations.AlterField(
... | 0 | 0 | 0 | 1,762 | 0 | 0 | 0 | 29 | 90 |
19209b415b12634958f1efb8484a45b0d4088f88 | 10 | py | Python | dataset/imageGenerateDataset.py | RickyDoge/WFGN | 88c70ad623f370fa76eb0b75a452c8f2c527ca6e | [
"MIT"
] | null | null | null | dataset/imageGenerateDataset.py | RickyDoge/WFGN | 88c70ad623f370fa76eb0b75a452c8f2c527ca6e | [
"MIT"
] | null | null | null | dataset/imageGenerateDataset.py | RickyDoge/WFGN | 88c70ad623f370fa76eb0b75a452c8f2c527ca6e | [
"MIT"
] | null | null | null | # For GAN
| 5 | 9 | 0.6 | # For GAN
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
414515dcdbf131e12ab0825125c8f7e1da0e8704 | 1,688 | py | Python | thelper/routes.py | jpsolanet/thelper | 38ee164748ef36eb300afa7960f8f8c38150a20b | [
"MIT"
] | null | null | null | thelper/routes.py | jpsolanet/thelper | 38ee164748ef36eb300afa7960f8f8c38150a20b | [
"MIT"
] | null | null | null | thelper/routes.py | jpsolanet/thelper | 38ee164748ef36eb300afa7960f8f8c38150a20b | [
"MIT"
] | null | null | null | """sqlaclhemy models for tracker and class"""
| 28.610169 | 87 | 0.668246 | """sqlaclhemy models for tracker and class"""
import random
import pandas as pd
import numpy as np
import pdfkit
from flask import url_for, make_response, render_template, request
from thelper import APP, DB, admin_views
from thelper import models
@APP.route("/")
def hello():
periods = DB.session.query(models.Per... | 0 | 1,344 | 0 | 0 | 0 | 0 | 0 | 48 | 246 |
2ac62715c1cf6ce9866d22cf897644d3db36a361 | 762 | py | Python | ircawp-learn.py | Fortyseven/ircawp2020-markov | 4ba1f84ff6813a36fade009c5152a81b4e220243 | [
"CC0-1.0"
] | null | null | null | ircawp-learn.py | Fortyseven/ircawp2020-markov | 4ba1f84ff6813a36fade009c5152a81b4e220243 | [
"CC0-1.0"
] | null | null | null | ircawp-learn.py | Fortyseven/ircawp2020-markov | 4ba1f84ff6813a36fade009c5152a81b4e220243 | [
"CC0-1.0"
] | null | null | null | #!/bin/python3
import sys
import os
import Markov
if __name__ == "__main__":
if (len(sys.argv) < 2 or len(sys.argv) > 3):
print("usage: {} sourcefile.txt [existingbrain.json]".format(
sys.argv[0]))
sys.exit(-1)
if (not os.path.exists(sys.argv[1])):
print("Can't find sourc... | 25.4 | 76 | 0.585302 | #!/bin/python3
import sys
import os
import Markov
if __name__ == "__main__":
if (len(sys.argv) < 2 or len(sys.argv) > 3):
print("usage: {} sourcefile.txt [existingbrain.json]".format(
sys.argv[0]))
sys.exit(-1)
if (not os.path.exists(sys.argv[1])):
print("Can't find sourc... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e5f104aef22df762ef1a4cce4e0ce10773df3a89 | 1,066 | py | Python | test/test_verify_model.py | Loniks/RoundRobinDNSAtackDetector | d8c9c9e953f360ff67ffe05af67943329760e20c | [
"MIT"
] | null | null | null | test/test_verify_model.py | Loniks/RoundRobinDNSAtackDetector | d8c9c9e953f360ff67ffe05af67943329760e20c | [
"MIT"
] | null | null | null | test/test_verify_model.py | Loniks/RoundRobinDNSAtackDetector | d8c9c9e953f360ff67ffe05af67943329760e20c | [
"MIT"
] | 1 | 2017-11-28T08:24:56.000Z | 2017-11-28T08:24:56.000Z |
protocol_names = [
'QUIC', 'DNS', 'ARP', 'TCP', 'UDP', 'SSDP', 'IGMPv2', 'SSL',
'TLSv1.2', 'DB-LSP-DISC', 'MDNS', 'TLSv1', 'BROWSER', 'ICMP',
'HTTP', 'HTTP/XML'
]
| 33.3125 | 79 | 0.556285 | import os
import csv
import joblib
protocol_names = [
'QUIC', 'DNS', 'ARP', 'TCP', 'UDP', 'SSDP', 'IGMPv2', 'SSL',
'TLSv1.2', 'DB-LSP-DISC', 'MDNS', 'TLSv1', 'BROWSER', 'ICMP',
'HTTP', 'HTTP/XML'
]
def test_verify_model():
# arrange test by loading model
current_path = os.path.abspath(os.path... | 0 | 0 | 0 | 0 | 0 | 827 | 0 | -31 | 89 |
a213a5d00d9d3a04c6bee6c48f3bebf7a5dbb766 | 1,028 | py | Python | {{cookiecutter.project_folder}}/code/add_this_dir_to_site-packages.py | gaulinmp/cookiecutter-research-project-template | 7d5feff90d2303d8bfd8a2916c8dac9fa1ba185c | [
"MIT"
] | null | null | null | {{cookiecutter.project_folder}}/code/add_this_dir_to_site-packages.py | gaulinmp/cookiecutter-research-project-template | 7d5feff90d2303d8bfd8a2916c8dac9fa1ba185c | [
"MIT"
] | null | null | null | {{cookiecutter.project_folder}}/code/add_this_dir_to_site-packages.py | gaulinmp/cookiecutter-research-project-template | 7d5feff90d2303d8bfd8a2916c8dac9fa1ba185c | [
"MIT"
] | 2 | 2021-07-01T14:44:06.000Z | 2022-02-05T22:57:39.000Z | #!python
import os
import sys
site_packages_folder_name = 'site-packages'
site_package_dir = [c for c in sys.path if site_packages_folder_name in c[-len(site_packages_folder_name):]]
if site_package_dir:
site_package_dir = site_package_dir[0]
{{ cookiecutter.python_libname }}_pth_file = os.path.join(si... | 42.833333 | 130 | 0.705253 | #!python
import os
import sys
site_packages_folder_name = 'site-packages'
site_package_dir = [c for c in sys.path if site_packages_folder_name in c[-len(site_packages_folder_name):]]
if site_package_dir:
site_package_dir = site_package_dir[0]
{{ cookiecutter.python_libname }}_pth_file = os.path.join(si... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8f9a2c2701c01e458cb636d205efbc6987b320ae | 11,623 | py | Python | data_processing/tournament_txt_to_csv.py | Andrew-Talley/seven-oh-two | 73a78e0f6d82bba6f80f7655afb6ed3a2c783486 | [
"MIT"
] | null | null | null | data_processing/tournament_txt_to_csv.py | Andrew-Talley/seven-oh-two | 73a78e0f6d82bba6f80f7655afb6ed3a2c783486 | [
"MIT"
] | null | null | null | data_processing/tournament_txt_to_csv.py | Andrew-Talley/seven-oh-two | 73a78e0f6d82bba6f80f7655afb6ed3a2c783486 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import os
import re
import traceback
record_reg = r'(\d{1,2}) ?- (\d{1,2}) - ?(\d{1,2})'
school_record = r'Team\sSchool\sRecord'
if __name__ == "__main__":
# tournament_text_to_results(2020, "invitationals", "crimson_classic")
names = []
for dir, subdirs, files in os.... | 36.665615 | 143 | 0.709197 | import numpy as np
import pandas as pd
import os
import re
import functools
import itertools
import json
import traceback
from collections import deque, defaultdict
from Tournament_Iterator import Tournament_Iterator
from parse_results_rows import parse_results_rows
from get_outstanding_students import get_outstanding... | 0 | 0 | 0 | 0 | 0 | 9,993 | 0 | 148 | 475 |
766d36bc9b401dcaa299cd9f9b1e2101f6b371a5 | 1,327 | py | Python | nvflare/private/fed/server/server_cmd_modules.py | drbeh/NVFlare | efea2c04e641051537604a4de2f85e570fb4f3a7 | [
"Apache-2.0"
] | null | null | null | nvflare/private/fed/server/server_cmd_modules.py | drbeh/NVFlare | efea2c04e641051537604a4de2f85e570fb4f3a7 | [
"Apache-2.0"
] | null | null | null | nvflare/private/fed/server/server_cmd_modules.py | drbeh/NVFlare | efea2c04e641051537604a4de2f85e570fb4f3a7 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021, NVIDIA CORPORATION.
#
# 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... | 39.029412 | 79 | 0.754333 | # Copyright (c) 2021, NVIDIA CORPORATION.
#
# 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 | 108 | 0 | 269 | 0 | 0 | 0 | 227 | 134 |
db145964edc404f9728296e74053393638f1cd91 | 8,122 | py | Python | DGSQP/solvers/PID.py | zhu-edward/DGSQP | b907d961f292695e4cddbc1266313e0e1030c4f0 | [
"MIT"
] | null | null | null | DGSQP/solvers/PID.py | zhu-edward/DGSQP | b907d961f292695e4cddbc1266313e0e1030c4f0 | [
"MIT"
] | null | null | null | DGSQP/solvers/PID.py | zhu-edward/DGSQP | b907d961f292695e4cddbc1266313e0e1030c4f0 | [
"MIT"
] | null | null | null | #!/usr/bin python3
from DGSQP.solvers.solver_types import PIDParams
# Test script to ensure controller object is functioning properly
if __name__ == "__main__":
params = PIDParams(dt=0.1, Kp=3.7, Ki=7, Kd=0.5)
x_ref = 5
pid = PID(params)
# pdb.set_trace()
pid.initialize(x_ref=x_ref)
# pdb.set_... | 32.230159 | 174 | 0.582615 | #!/usr/bin python3
import numpy as np
import time
from typing import Tuple
from DGSQP.types import VehicleState
from DGSQP.solvers.abstract_solver import AbstractSolver
from DGSQP.solvers.solver_types import PIDParams
class PID():
'''
Base class for PID controller
Meant to be packaged for use in actual... | 0 | 0 | 0 | 7,528 | 0 | 0 | 0 | 29 | 186 |
84a707b07afe3b537b10fca5f8c71aed1cce1db3 | 9,420 | py | Python | tests/geneartpingertest.py | Global-Biofoundries-Alliance/DNA-scanner | 8001fcf486de415ac469170fe459f8df29e86685 | [
"MIT"
] | 12 | 2019-11-08T17:23:24.000Z | 2021-12-18T02:28:31.000Z | tests/geneartpingertest.py | Zulko/DNA-scanner | 65907a0d8eaa162ca8d4fa85b3330e3fd454047d | [
"MIT"
] | 41 | 2019-10-30T08:33:05.000Z | 2022-02-26T21:01:55.000Z | tests/geneartpingertest.py | Global-Biofoundries-Alliance/DNA-scanner | 8001fcf486de415ac469170fe459f8df29e86685 | [
"MIT"
] | 5 | 2019-11-05T11:35:12.000Z | 2020-11-11T16:19:40.000Z | import unittest
import json
import yaml
from Pinger import Entities
# Test file which can be successfully valideted by the API.
with open('./examples/seqinf_geneart.json') as json_file:
data = json.load(json_file)
example_list = []
# Create a list of 'SequenceInformation' objects where each object is a sequence f... | 46.176471 | 118 | 0.666242 | import unittest
import json
import yaml
from Pinger import Pinger, Entities, GeneArt, Validator
# Test file which can be successfully valideted by the API.
with open('./examples/seqinf_geneart.json') as json_file:
data = json.load(json_file)
example_list = []
# Create a list of 'SequenceInformation' objects where... | 0 | 0 | 0 | 8,633 | 0 | 0 | 0 | 28 | 27 |
e4ddbdebb6ad60bd0ac6d32b26c0e0b8c43fedc9 | 1,036 | py | Python | actualite/models.py | Kgermando/ev-ccnsc | ad8710014ab11aec18d72cbb97462efbba28dc85 | [
"Apache-2.0"
] | null | null | null | actualite/models.py | Kgermando/ev-ccnsc | ad8710014ab11aec18d72cbb97462efbba28dc85 | [
"Apache-2.0"
] | null | null | null | actualite/models.py | Kgermando/ev-ccnsc | ad8710014ab11aec18d72cbb97462efbba28dc85 | [
"Apache-2.0"
] | null | null | null | # Create your models here.
| 41.44 | 98 | 0.750965 | from django.db import models
from ccnsc.constant import CATEGORIES, PROVINCES
# Create your models here.
class Actualite(models.Model):
actu_titre = models.CharField(max_length=300)
auteur = models.CharField(max_length=300)
actu_content = models.TextField()
actu_province = models.CharField(max_length=... | 0 | 0 | 0 | 906 | 0 | 0 | 0 | 34 | 68 |
1304534d80b2dff7e32c9acf5d7838faeb29410b | 3,700 | py | Python | voa_and_megadata.py | cdoolin/labtools | 867a2726f5a707a8f5e698bf4a6bb4de40cfbe27 | [
"MIT"
] | 1 | 2021-06-07T16:51:09.000Z | 2021-06-07T16:51:09.000Z | voa_and_megadata.py | cdoolin/labtools | 867a2726f5a707a8f5e698bf4a6bb4de40cfbe27 | [
"MIT"
] | null | null | null | voa_and_megadata.py | cdoolin/labtools | 867a2726f5a707a8f5e698bf4a6bb4de40cfbe27 | [
"MIT"
] | null | null | null |
import argparse
parser = argparse.ArgumentParser(description="control voa and take megadata")
parser.add_argument("--power", default=5, type=float, help="On voltage of VOA")
parser.add_argument("--delay", default=10, type=float, help="Delay between starting megadaq and turning on voa (in ms)")
parser.add_argument(... | 26.428571 | 170 | 0.657838 |
import argparse
parser = argparse.ArgumentParser(description="control voa and take megadata")
parser.add_argument("--power", default=5, type=float, help="On voltage of VOA")
parser.add_argument("--delay", default=10, type=float, help="Delay between starting megadaq and turning on voa (in ms)")
parser.add_argument(... | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 0 | 23 |
736bfde148e48f0e5e3ee39dde77d4591eca9d9f | 4,606 | py | Python | utils.py | garvm7/TransUNet | f330ff264680f035e84e4b3142f9188304d06c48 | [
"Apache-2.0"
] | null | null | null | utils.py | garvm7/TransUNet | f330ff264680f035e84e4b3142f9188304d06c48 | [
"Apache-2.0"
] | null | null | null | utils.py | garvm7/TransUNet | f330ff264680f035e84e4b3142f9188304d06c48 | [
"Apache-2.0"
] | null | null | null | import torch.nn as nn
| 38.705882 | 127 | 0.547112 | import numpy as np
import torch
from medpy import metric
from scipy.ndimage import zoom
import torch.nn as nn
import SimpleITK as sitk
class DiceLoss(nn.Module):
def __init__(self, n_classes):
super(DiceLoss, self).__init__()
self.n_classes = n_classes
def _one_hot_encoder(self, input_tensor)... | 0 | 0 | 0 | 1,452 | 0 | 2,947 | 0 | 3 | 179 |
ca01e2d44643a8dff671f968cb9acbc1adf392b1 | 12,700 | py | Python | examples/gb1/vae.py | ayushkarnawat/profit | f3c4d601078b52513af6832c3faf75ddafc59ac5 | [
"MIT"
] | null | null | null | examples/gb1/vae.py | ayushkarnawat/profit | f3c4d601078b52513af6832c3faf75ddafc59ac5 | [
"MIT"
] | 1 | 2021-09-15T13:13:12.000Z | 2021-09-15T13:13:12.000Z | examples/gb1/vae.py | ayushkarnawat/profit | f3c4d601078b52513af6832c3faf75ddafc59ac5 | [
"MIT"
] | null | null | null | r"""Train GB1 variational autoencoder (VAE) model.
The model encodes information about the input `x` into a latent variable
`z` (through `mu` and `logvar`) so that the decoder network can generate
the reconstructed output `x'` (such that `x \approx x'`) [1].
The latent variable `z` allows us to generate samples from ... | 46.691176 | 86 | 0.606693 | r"""Train GB1 variational autoencoder (VAE) model.
The model encodes information about the input `x` into a latent variable
`z` (through `mu` and `logvar`) so that the decoder network can generate
the reconstructed output `x'` (such that `x \approx x'`) [1].
The latent variable `z` allows us to generate samples from ... | 0 | 0 | 0 | 0 | 0 | 7,634 | 0 | 197 | 358 |
24979e4e53de2b2ce07c5e10f742ff0fa787a88c | 7,081 | py | Python | introduction/matlab_plot/python/11.grid.py | LeandroTk/intro-data-science | 36a8bf2c080a94526c2f71e5773dd451ca371d38 | [
"MIT"
] | 9 | 2019-01-01T17:44:18.000Z | 2021-02-08T06:30:03.000Z | introduction/matlab_plot/python/11.grid.py | kemojal/machine-learning-degree | b27f21854b7df9fbac3a801087c0f2c3ff0a6b63 | [
"MIT"
] | null | null | null | introduction/matlab_plot/python/11.grid.py | kemojal/machine-learning-degree | b27f21854b7df9fbac3a801087c0f2c3ff0a6b63 | [
"MIT"
] | 3 | 2019-02-23T04:22:23.000Z | 2021-02-08T06:30:04.000Z | # defining "gross_domestic_product_per_capita" and "life_expectancy" lists
gross_domestic_product_per_capita = [
974.5803384, 5937.029525999998, 6223.367465, 4797.231267, 12779.37964, 34435.367439999995, 36126.4927, 29796.04834, 1391.253792, 33692.60508, 1441.284873, 3822.137084, 7446.298803, 12569.85177, 9065.8008... | 114.209677 | 1,952 | 0.696794 | # defining "gross_domestic_product_per_capita" and "life_expectancy" lists
gross_domestic_product_per_capita = [
974.5803384, 5937.029525999998, 6223.367465, 4797.231267, 12779.37964, 34435.367439999995, 36126.4927, 29796.04834, 1391.253792, 33692.60508, 1441.284873, 3822.137084, 7446.298803, 12569.85177, 9065.8008... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
76b0b7caf13e99d3aaa206eefe95f234032dd2fc | 1,560 | py | Python | profiles_api/models.py | Aashutosh3804/profile_rest_apis | 0b54cddf996bb61acb5930b6ff4631801ce5547d | [
"MIT"
] | null | null | null | profiles_api/models.py | Aashutosh3804/profile_rest_apis | 0b54cddf996bb61acb5930b6ff4631801ce5547d | [
"MIT"
] | 3 | 2020-06-06T01:35:22.000Z | 2021-04-08T21:30:49.000Z | profiles_api/models.py | Aashutosh3804/profile_rest_apis | 0b54cddf996bb61acb5930b6ff4631801ce5547d | [
"MIT"
] | null | null | null |
# Create your models here.
| 31.836735 | 89 | 0.680128 | from django.db import models
from django.contrib.auth.models import AbstractBaseUser, PermissionsMixin,BaseUserManager
# Create your models here.
class UserProfileManager(BaseUserManager):
"""Manager For user Profiles"""
def create_user(self,email,name,password=None):
"""Create a NEw SUer Profile"""
... | 0 | 0 | 0 | 1,366 | 0 | 0 | 0 | 75 | 90 |
dce94a6ace55ef22c6e6e2de483e66b2f9f04f7f | 8,512 | py | Python | spambayes/Outlook2000/export.py | alexeip0/spambayes | 0c7d12cf4702ef82974ab16d2a36fa9ccedf185a | [
"PSF-2.0"
] | 13 | 2015-07-03T06:53:47.000Z | 2021-02-19T13:21:56.000Z | spambayes/Outlook2000/export.py | alexeip0/spambayes | 0c7d12cf4702ef82974ab16d2a36fa9ccedf185a | [
"PSF-2.0"
] | 5 | 2015-07-16T07:33:46.000Z | 2021-04-05T20:27:52.000Z | spambayes/Outlook2000/export.py | alexeip0/spambayes | 0c7d12cf4702ef82974ab16d2a36fa9ccedf185a | [
"PSF-2.0"
] | 20 | 2015-05-16T22:42:14.000Z | 2021-09-18T17:46:40.000Z | # Exports your ham and spam folders to a standard SpamBayes test directory.
NUM_BUCKETS = 10
DEFAULT_DIRECTORY = "..\\testtools\\Data"
import re
mime_header_re = re.compile(r"""
^ content- (type | transfer-encoding) : [^\n]* \n
([ \t] [^\n]* \n)* # suck up adjacent continuation lines
""", re.VERBOSE | re.MUL... | 36.376068 | 80 | 0.617011 | # Exports your ham and spam folders to a standard SpamBayes test directory.
import sys, os, shutil
from manager import GetManager
NUM_BUCKETS = 10
DEFAULT_DIRECTORY = "..\\testtools\\Data"
import re
mime_header_re = re.compile(r"""
^ content- (type | transfer-encoding) : [^\n]* \n
([ \t] [^\n]* \n)* # suck ... | 0 | 0 | 0 | 0 | 0 | 6,981 | 0 | 10 | 200 |
56eed8550ea27f693fcab9cfb8ecd4aceda49e2f | 2,392 | py | Python | Data fetching script.py | mohamedsaadmoustafa/Arabic_Dialect_Classification | a13e92ddaa8fda5afcc40d1ce97946174f9a4674 | [
"BSD-3-Clause"
] | null | null | null | Data fetching script.py | mohamedsaadmoustafa/Arabic_Dialect_Classification | a13e92ddaa8fda5afcc40d1ce97946174f9a4674 | [
"BSD-3-Clause"
] | null | null | null | Data fetching script.py | mohamedsaadmoustafa/Arabic_Dialect_Classification | a13e92ddaa8fda5afcc40d1ce97946174f9a4674 | [
"BSD-3-Clause"
] | 1 | 2022-03-14T19:41:57.000Z | 2022-03-14T19:41:57.000Z | import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
# Import dataset with text ids.
df = pd.read_csv("../input/dialect-datasetcsv/dialect_dataset.csv")
# create a new column to store feched text in
df['tweets'] = np.nan
# change 'id' column type to string.
df.id =... | 34.171429 | 85 | 0.700669 | import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import requests
import json
import os
# Import dataset with text ids.
df = pd.read_csv("../input/dialect-datasetcsv/dialect_dataset.csv")
# create a new column to store feched text in
df['tweets'] = np.nan
# chan... | 0 | 0 | 0 | 0 | 0 | 861 | 0 | -28 | 110 |
fd952ee9d4b5eb67bb14f64b38abf73e85b2e79a | 18,232 | py | Python | nlp_label_quality/nlp_label_quality/analysis/analysis_utils.py | jwiltfang/bachelor-thesis | a15bdd1a6dec527624085640436748a545cee370 | [
"MIT"
] | null | null | null | nlp_label_quality/nlp_label_quality/analysis/analysis_utils.py | jwiltfang/bachelor-thesis | a15bdd1a6dec527624085640436748a545cee370 | [
"MIT"
] | null | null | null | nlp_label_quality/nlp_label_quality/analysis/analysis_utils.py | jwiltfang/bachelor-thesis | a15bdd1a6dec527624085640436748a545cee370 | [
"MIT"
] | null | null | null | import numpy as np
import pm4py
from pm4py.objects.log.log import EventLog
from nlp_label_quality.analysis import matrix_eval
from typing import Dict, List, Tuple, Union, Any
from nlp_label_quality.analysis.attribute_value import Attribute, AttributeValue
import logging
logger = logging.getLogger(__name__)
def f... | 42.301624 | 172 | 0.599331 | from nltk.corpus import wordnet as wn
import nltk
import numpy as np
import pm4py
from pm4py.objects.log.log import EventLog
from nlp_label_quality.analysis import matrix_eval
from typing import Dict, List, Tuple, Union, Any
from nlp_label_quality.analysis.attribute_value import Attribute, AttributeValue
import tim... | 0 | 0 | 0 | 0 | 0 | 4,307 | 0 | -4 | 136 |
5b3a3b5d61e677e816fc3f066fa360eebf0bc8b9 | 3,206 | py | Python | atis_simulator.py | ashishrao7/Neuromorphic-Sampling | ab921456ebcada361c64f24cd0fd727771d1acd8 | [
"MIT"
] | null | null | null | atis_simulator.py | ashishrao7/Neuromorphic-Sampling | ab921456ebcada361c64f24cd0fd727771d1acd8 | [
"MIT"
] | null | null | null | atis_simulator.py | ashishrao7/Neuromorphic-Sampling | ab921456ebcada361c64f24cd0fd727771d1acd8 | [
"MIT"
] | null | null | null | ##############################################################################################################################
# This program simulates a DVS sensor. The input images are specified as a directory in the program
# Author: Ashish Rao M
# email: ashish.rao.m@gmail.com
######################################... | 30.826923 | 126 | 0.52932 | ##############################################################################################################################
# This program simulates a DVS sensor. The input images are specified as a directory in the program
# Author: Ashish Rao M
# email: ashish.rao.m@gmail.com
######################################... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 49 |
e3e6312937486725b68bad4e6f68a31a4c015bb9 | 850 | py | Python | app/lib/overrides/common/raw_cluster_role_bindings.py | cisco-sso/mh2-poc | a476c9e119e2e15834dc04242504049b9fc7e8e5 | [
"Apache-2.0"
] | null | null | null | app/lib/overrides/common/raw_cluster_role_bindings.py | cisco-sso/mh2-poc | a476c9e119e2e15834dc04242504049b9fc7e8e5 | [
"Apache-2.0"
] | null | null | null | app/lib/overrides/common/raw_cluster_role_bindings.py | cisco-sso/mh2-poc | a476c9e119e2e15834dc04242504049b9fc7e8e5 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
| 25.757576 | 56 | 0.434118 | #!/usr/bin/env python3
def raw_cluster_role_bindings(callback_values):
data = {
'__meta': {
'chart': 'cisco-sso/raw',
'version': '0.1.0'
},
'resources': [{
'apiVersion':
'rbac.authorization.k8s.io/v1',
'kind':
'Cluster... | 0 | 0 | 0 | 0 | 0 | 803 | 0 | 0 | 23 |
114812efcc3174485ae2199f16a9e47803cc121f | 916 | py | Python | livestyled/schemas/tests/test_ticket_integration.py | andrelopez/python-sdk | 3c83d4698ecf6b5b59003d20cb26644e0dd77f61 | [
"MIT"
] | null | null | null | livestyled/schemas/tests/test_ticket_integration.py | andrelopez/python-sdk | 3c83d4698ecf6b5b59003d20cb26644e0dd77f61 | [
"MIT"
] | 1 | 2021-07-09T10:59:21.000Z | 2021-07-09T10:59:21.000Z | livestyled/schemas/tests/test_ticket_integration.py | andrelopez/python-sdk | 3c83d4698ecf6b5b59003d20cb26644e0dd77f61 | [
"MIT"
] | 3 | 2021-02-01T10:13:36.000Z | 2022-02-11T17:47:30.000Z | import os
FIXTURES_DIR = os.path.join(os.path.dirname(__file__), 'fixtures')
TEST_API_DOMAIN = 'test.livestyled.com'
| 33.925926 | 98 | 0.636463 | import os
from livestyled.schemas.ticket_integration import TicketIntegrationSchema
FIXTURES_DIR = os.path.join(os.path.dirname(__file__), 'fixtures')
TEST_API_DOMAIN = 'test.livestyled.com'
def test_deserialize_ticket_integration():
with open(os.path.join(FIXTURES_DIR, 'example_ticket_integration.json'), 'r')... | 0 | 0 | 0 | 0 | 0 | 698 | 0 | 52 | 46 |
290ea24da1d1eae66b04c26acdf95a3b6d5bbf1e | 1,865 | py | Python | tutorial/part2/ch9_files/final_app.py | open-resources/dash_curriculum | cd9b7db3f357edeed2d027a23fceb85eabbffb7e | [
"MIT"
] | 3 | 2022-02-23T22:16:25.000Z | 2022-02-25T01:23:40.000Z | tutorial/part2/ch9_files/final_app.py | open-resources/dash_curriculum | cd9b7db3f357edeed2d027a23fceb85eabbffb7e | [
"MIT"
] | 15 | 2022-02-23T22:12:51.000Z | 2022-03-23T21:51:49.000Z | tutorial/part2/ch9_files/final_app.py | open-resources/dash_curriculum | cd9b7db3f357edeed2d027a23fceb85eabbffb7e | [
"MIT"
] | 2 | 2022-02-25T20:57:59.000Z | 2022-03-26T15:29:01.000Z | # Import libraries
from dash import Dash, dash_table, dcc
import dash_bootstrap_components as dbc
import plotly.express as px
# Import data into Pandas dataframe
df = px.data.gapminder()
# Filter data with a list of countries we're interested in exploring
country_list = ['Canada', 'Brazil', 'Norway', 'Germany']
df =... | 28.692308 | 77 | 0.674531 | # Import libraries
from dash import Dash, dash_table, dcc, Input, Output, State
import dash_bootstrap_components as dbc
import pandas as pd
import plotly.express as px
# Import data into Pandas dataframe
df = px.data.gapminder()
# Filter data with a list of countries we're interested in exploring
country_list = ['Ca... | 0 | 438 | 0 | 0 | 0 | 0 | 0 | 20 | 44 |
b56b656c50472636928bf236304449bc7270a77a | 1,217 | py | Python | ynlu/sdk/test/test_client.py | hsiaoyi0504/yoctol-nlu-py | 4cec8d52ba3dd7827bddde152c95e814e533c0f2 | [
"MIT"
] | null | null | null | ynlu/sdk/test/test_client.py | hsiaoyi0504/yoctol-nlu-py | 4cec8d52ba3dd7827bddde152c95e814e533c0f2 | [
"MIT"
] | null | null | null | ynlu/sdk/test/test_client.py | hsiaoyi0504/yoctol-nlu-py | 4cec8d52ba3dd7827bddde152c95e814e533c0f2 | [
"MIT"
] | null | null | null |
TEST_MODEL_ID = ['5566', '7788', '1024']
TEST_MODEL_NAME = ['random', 'name', 'here']
| 27.659091 | 100 | 0.683648 | from unittest import TestCase
from ..client import NLUClient
TEST_MODEL_ID = ['5566', '7788', '1024']
TEST_MODEL_NAME = ['random', 'name', 'here']
def mock_client(_, retries):
return 'Some random client'
def mock_fetch_all_available_clf_ids_and_names(_):
return TEST_MODEL_ID, TEST_MODEL_NAME
class NLUC... | 0 | 0 | 0 | 885 | 0 | 110 | 0 | 17 | 114 |
0cea6ee79a99de1a790f701a85ae58a4c6b59c7d | 6,506 | py | Python | mesh.py | zjucxh/mesh-meanshift | d21e5f49b1085f1013258a925e6245b5c68661fe | [
"MIT"
] | null | null | null | mesh.py | zjucxh/mesh-meanshift | d21e5f49b1085f1013258a925e6245b5c68661fe | [
"MIT"
] | null | null | null | mesh.py | zjucxh/mesh-meanshift | d21e5f49b1085f1013258a925e6245b5c68661fe | [
"MIT"
] | null | null | null | import numpy as np
import open3d as o3d
#o3d.geometry.TriangleMesh.compute_vertex_normals
# write mesh to obj
# normalize mesh
# visualize FPS algorithms
# farthest point sampling algorithm
# given array of vertices and adjacency matrix, return neighbouring vertices
#def vertex_neighbors(vertices, adjacent_matrix,... | 35.358696 | 110 | 0.637873 | import numpy as np
import meshio
from gdist import compute_gdist as geo_dist
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import open3d as o3d
from scipy import sparse
from scipy.stats import uniform
#o3d.geometry.TriangleMesh.compute_vertex_normals
# write mesh to obj
def write_mesh(f... | 0 | 0 | 0 | 0 | 0 | 4,882 | 0 | 60 | 288 |
563fb5ca9b675c935bfc915e5745df0f3ea2e074 | 274 | py | Python | tests/test_graph_iterator.py | Jarino/pycgp | c3281c0deff3388cb7cfd79339b84391f6499ae1 | [
"MIT"
] | 4 | 2018-02-08T17:34:58.000Z | 2021-09-20T01:37:32.000Z | tests/test_graph_iterator.py | Jarino/pycgp | c3281c0deff3388cb7cfd79339b84391f6499ae1 | [
"MIT"
] | 1 | 2018-02-09T09:59:09.000Z | 2018-02-09T10:52:26.000Z | tests/test_graph_iterator.py | Jarino/pycgp | c3281c0deff3388cb7cfd79339b84391f6499ae1 | [
"MIT"
] | 1 | 2018-12-12T03:51:33.000Z | 2018-12-12T03:51:33.000Z | """ test for individual iterators """
| 22.833333 | 54 | 0.733577 | """ test for individual iterators """
from pycgp.graph_iterator import iterate_active_nodes
def test_iterate_active_nodes(individual):
iterator = iterate_active_nodes(individual)
visited_ids = [x.id for x in iterator]
assert visited_ids == [7, 6, 3, 0, 0]
| 0 | 0 | 0 | 0 | 0 | 156 | 0 | 32 | 47 |
4069be0bb36a8f8fc11cbd2cb9b0d77f32b887bc | 1,430 | py | Python | aiopening/client/client.py | ducandu/aiopening | 214d8d6dfc928ab4f8db634018092dc43eaf0e3c | [
"MIT"
] | null | null | null | aiopening/client/client.py | ducandu/aiopening | 214d8d6dfc928ab4f8db634018092dc43eaf0e3c | [
"MIT"
] | null | null | null | aiopening/client/client.py | ducandu/aiopening | 214d8d6dfc928ab4f8db634018092dc43eaf0e3c | [
"MIT"
] | null | null | null | """
-------------------------------------------------------------------------
AIOpener -
client
command line client for aiopener-server operations
- allows login, start/list projects
- submission of games for solving
- check job status
created: 2017/06/05 in PyCharm
(c) 2017 Sven - ducandu GmbH
--------... | 30.425532 | 134 | 0.644755 | """
-------------------------------------------------------------------------
AIOpener -
client
command line client for aiopener-server operations
- allows login, start/list projects
- submission of games for solving
- check job status
created: 2017/06/05 in PyCharm
(c) 2017 Sven - ducandu GmbH
--------... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
821610d176c232df04f951041810e8721219f6a5 | 54,329 | py | Python | examples/speech_recognition/infer.py | SeunghyunSEO/seosh_fairseq | 443b2a8effb6b8fba5758989076cf992470ccb62 | [
"MIT"
] | null | null | null | examples/speech_recognition/infer.py | SeunghyunSEO/seosh_fairseq | 443b2a8effb6b8fba5758989076cf992470ccb62 | [
"MIT"
] | 2 | 2022-02-22T08:28:06.000Z | 2022-02-22T09:26:26.000Z | examples/speech_recognition/infer.py | SeunghyunSEO/seosh_fairseq | 443b2a8effb6b8fba5758989076cf992470ccb62 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Run inference for pre-processed data with a trained model.
"""
import logging
logging.basicConfig()
logging.ro... | 45.539816 | 272 | 0.532588 | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Run inference for pre-processed data with a trained model.
"""
import ast
import logging
import math
import os
... | 189 | 0 | 0 | 500 | 0 | 51,703 | 0 | 133 | 632 |
0bd93f88d9451f2a7f0864e82e017e730575b137 | 1,491 | py | Python | antiword_test.py | AmanBudhraja/Multi-Format-Text-Extraction-and-Text-to-Speech-Synthesis | c49eafaaf0be62b2183e27f499aa8cb4d4856447 | [
"MIT"
] | 1 | 2020-03-23T07:22:30.000Z | 2020-03-23T07:22:30.000Z | antiword_test.py | AmanBudhraja/M.engProject | c49eafaaf0be62b2183e27f499aa8cb4d4856447 | [
"MIT"
] | null | null | null | antiword_test.py | AmanBudhraja/M.engProject | c49eafaaf0be62b2183e27f499aa8cb4d4856447 | [
"MIT"
] | null | null | null |
filepath = "A:/ECE9013A_Fall2019.pdf"
text = get_doc_text(filepath)
print(text)
| 33.886364 | 102 | 0.565392 | import os, docx2txt, PyPDF2
def get_doc_text(filepath):
if filepath.endswith('.docx'):
text = docx2txt.process(filepath)
return text
elif filepath.endswith('.doc'):
# converting .doc to .docx
doc_file = filepath
docx_file = filepath + 'x'
if not os.path.exists(... | 0 | 0 | 0 | 0 | 0 | 1,350 | 0 | 6 | 46 |
9a10b93b1e8fde26008b598c2634361fc129b639 | 828 | py | Python | problems/test_0075_countingsort.py | chrisxue815/leetcode_python | dec3c160d411a5c19dc8e9d96e7843f0e4c36820 | [
"Unlicense"
] | 1 | 2017-06-17T23:47:17.000Z | 2017-06-17T23:47:17.000Z | problems/test_0075_countingsort.py | chrisxue815/leetcode_python | dec3c160d411a5c19dc8e9d96e7843f0e4c36820 | [
"Unlicense"
] | null | null | null | problems/test_0075_countingsort.py | chrisxue815/leetcode_python | dec3c160d411a5c19dc8e9d96e7843f0e4c36820 | [
"Unlicense"
] | null | null | null | import unittest
if __name__ == '__main__':
unittest.main()
| 23 | 74 | 0.497585 | import unittest
class Solution:
def sortColors(self, nums):
"""
:type nums: List[int]
:rtype: void Do not return anything, modify nums in-place instead.
"""
counts = [0] * 3
for num in nums:
counts[num] += 1
sum_ = 0
for i in range(3):
... | 0 | 0 | 0 | 715 | 0 | 0 | 0 | 0 | 46 |
9a0a2a0ac163d946d7fabbd3be202d2575f75952 | 5,148 | py | Python | RegressionModels/LinearRegression/HousePriceEstimation.py | mohansaimandalapu/MachineLearningProjects | 6d5e325a0b6edafd0e41e07c977090f68850f491 | [
"MIT"
] | null | null | null | RegressionModels/LinearRegression/HousePriceEstimation.py | mohansaimandalapu/MachineLearningProjects | 6d5e325a0b6edafd0e41e07c977090f68850f491 | [
"MIT"
] | 1 | 2021-05-18T06:26:33.000Z | 2021-05-18T11:02:14.000Z | RegressionModels/LinearRegression/HousePriceEstimation.py | mohansaimandalapu/MachineLearningProjects | 6d5e325a0b6edafd0e41e07c977090f68850f491 | [
"MIT"
] | 1 | 2020-10-26T13:34:01.000Z | 2020-10-26T13:34:01.000Z | import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error
from sklearn import preprocessing
import sklearn
import matplotlib.pyplot as plt
from sklearn.preprocessing import RobustScaler
import math
from sklearn.metrics import mean_absolute_error
file_path ="/... | 34.092715 | 234 | 0.736208 | import pandas as pd
from sklearn.linear_model import LinearRegression
import numpy as np
from sklearn.metrics import mean_squared_error
from sklearn import preprocessing
from sklearn.model_selection import train_test_split
import sklearn
from pathlib import Path
import matplotlib.pyplot as plt
from sklearn.preprocessin... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58 | 88 |
8533e395982bc717c66dbd4cbb9efa3d688eedc5 | 675 | py | Python | tests/factories.py | DevOpsWishlist/wishlists | 5275003e9278a012c2e2d2a8d75db41971c58220 | [
"Apache-2.0"
] | null | null | null | tests/factories.py | DevOpsWishlist/wishlists | 5275003e9278a012c2e2d2a8d75db41971c58220 | [
"Apache-2.0"
] | 57 | 2021-02-22T21:52:52.000Z | 2021-05-24T10:17:02.000Z | tests/factories.py | DevOpsWishlist/wishlists | 5275003e9278a012c2e2d2a8d75db41971c58220 | [
"Apache-2.0"
] | null | null | null | """
Test Factory to make fake objects for testing
"""
| 21.774194 | 59 | 0.671111 | """
Test Factory to make fake objects for testing
"""
import factory
from datetime import datetime
from factory.fuzzy import FuzzyChoice
from service.models import WishList, Item
class ItemFactory(factory.Factory):
""" Creates fake Addresses """
class Meta:
model = Item
id = factory.Sequence(lamb... | 0 | 0 | 0 | 448 | 0 | 0 | 0 | 37 | 134 |
bd4f73859f255272632f914e37b56bda35c7a0fb | 1,005 | py | Python | daemon/start_daemon.py | Robert-Kolmos/GitUp1 | 5a4bbbbd6f4ad82dfea7a78fb988eba25b574ee9 | [
"MIT"
] | null | null | null | daemon/start_daemon.py | Robert-Kolmos/GitUp1 | 5a4bbbbd6f4ad82dfea7a78fb988eba25b574ee9 | [
"MIT"
] | null | null | null | daemon/start_daemon.py | Robert-Kolmos/GitUp1 | 5a4bbbbd6f4ad82dfea7a78fb988eba25b574ee9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3.7
# The repository information is stored in this file.
if __name__ == "__main__":
start_daemon()
| 29.558824 | 66 | 0.595025 | #!/usr/bin/env python3.7
from daemon import GitUpDaemon
import os
# The repository information is stored in this file.
def start_daemon():
repofile = "/tmp/gitup/repositories.csv"
logs_dir = '/tmp/gitup/'
out = '/tmp/gitup/daemon.out'
err = '/tmp/gitup/daemon.err'
# make sure the directory to write... | 0 | 0 | 0 | 0 | 0 | 812 | 0 | -3 | 66 |
fc1ee74f746bc8e00e83204ee018fcd480e507fa | 1,020 | py | Python | projects/OpenNeuroSample/example.py | cocozhao321/rt-cloud | 4293f65f86730eb97c13aafdca02b710d3fe1173 | [
"Apache-2.0"
] | null | null | null | projects/OpenNeuroSample/example.py | cocozhao321/rt-cloud | 4293f65f86730eb97c13aafdca02b710d3fe1173 | [
"Apache-2.0"
] | null | null | null | projects/OpenNeuroSample/example.py | cocozhao321/rt-cloud | 4293f65f86730eb97c13aafdca02b710d3fe1173 | [
"Apache-2.0"
] | null | null | null | """
An example to download OpenNeuro dataset and stream it as BIDS-I.
This example uses OpenNeuro Dataset ds003030_sub01
"""
if __name__ == "__main__":
main() | 37.777778 | 121 | 0.762745 | """
An example to download OpenNeuro dataset and stream it as BIDS-I.
This example uses OpenNeuro Dataset ds003030_sub01
"""
from projects.OpenNeuroSample.OpenNeuroProto import OpenNeuroOverview
from projects.OpenNeuroSample.openNeuroUpdate import OutputUpdate
def main():
# checkout the dataset
overview = Op... | 0 | 0 | 0 | 0 | 0 | 697 | 0 | 92 | 68 |
b9a08f27f60b92a9f66adfdddbe2110ddc0b80da | 2,871 | py | Python | math/0x03-probability/binomial.py | sebaslherrera/holbertonschool-machine_learning | a4c09230688700aee199f4099de32261104918be | [
"MIT"
] | null | null | null | math/0x03-probability/binomial.py | sebaslherrera/holbertonschool-machine_learning | a4c09230688700aee199f4099de32261104918be | [
"MIT"
] | null | null | null | math/0x03-probability/binomial.py | sebaslherrera/holbertonschool-machine_learning | a4c09230688700aee199f4099de32261104918be | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""Project 0x03. Probability"""
| 25.184211 | 78 | 0.516545 | #!/usr/bin/env python3
"""Project 0x03. Probability"""
class Binomial:
"""Class that represents an Binomial distribution"""
e = 2.7182818285
pi = 3.1415926536
def __init__(self, data=None, n=1, p=0.5):
"""Constructor of Binomial
Parameters:
data (list): list of the data to ... | 6 | 949 | 0 | 1,840 | 0 | 0 | 0 | 0 | 23 |
2d2e2e14a7265b0780d811febdb96a16b1f5c7af | 674 | py | Python | test/basic.py | hugoprudente/pycritic | 201d9fa01ebf6a103b70738d2bd92d556d519073 | [
"MIT"
] | 9 | 2015-07-14T16:07:33.000Z | 2021-03-31T18:41:16.000Z | test/basic.py | hugoprudente/pycritic | 201d9fa01ebf6a103b70738d2bd92d556d519073 | [
"MIT"
] | null | null | null | test/basic.py | hugoprudente/pycritic | 201d9fa01ebf6a103b70738d2bd92d556d519073 | [
"MIT"
] | 5 | 2016-05-04T17:53:44.000Z | 2022-01-08T08:31:42.000Z |
if __name__ == "__main__":
main()
| 30.636364 | 80 | 0.700297 | import pycritic
def print_resource_data(resource):
print "Name: " + resource.name
print "Release date: " + resource.date
print "Metascore: " + str(resource.metascore)
print "Userscore: " + str(resource.userscore)
print "Description: " + resource.description
def main():
scraper = pycritic.Scra... | 0 | 0 | 0 | 0 | 0 | 572 | 0 | -6 | 68 |
0849699776956afc0dc990e8d7267f47912de6ac | 3,182 | py | Python | yozuch/config.py | akrylysov/yozuch | 0eb6206c8c2fff806a8901456cfc4cc338052a95 | [
"BSD-3-Clause"
] | 32 | 2015-02-01T16:35:21.000Z | 2022-03-14T00:50:32.000Z | yozuch/config.py | akrylysov/yozuch | 0eb6206c8c2fff806a8901456cfc4cc338052a95 | [
"BSD-3-Clause"
] | 6 | 2015-06-19T10:58:35.000Z | 2019-04-07T16:38:01.000Z | yozuch/config.py | akrylysov/yozuch | 0eb6206c8c2fff806a8901456cfc4cc338052a95 | [
"BSD-3-Clause"
] | 1 | 2017-01-21T18:51:11.000Z | 2017-01-21T18:51:11.000Z | """
Default configuration and configuration related helpers.
"""
import os
PACKAGE_DIR = os.path.dirname(__file__)
| 29.192661 | 107 | 0.576681 | """
Default configuration and configuration related helpers.
"""
import copy
import os
import importlib.util
from yozuch.view import view
PACKAGE_DIR = os.path.dirname(__file__)
class DefaultConfig(object):
DEBUG = False
TITLE = 'Site title'
URL = 'http://localhost:8000'
DESCRIPTION = 'Site descr... | 0 | 0 | 0 | 2,953 | 0 | 0 | 0 | -3 | 113 |
6f6ffe2cc228494bc9c5ea6d4e92b29788e1fe6d | 1,328 | py | Python | src/ci_workflow/ci_input_manifest.py | boktorbb-amzn/opensearch-build | ea5a964b2a570ac518b380ef6efd42c38ae9f911 | [
"Apache-2.0"
] | 62 | 2021-05-14T04:06:09.000Z | 2022-03-23T03:30:13.000Z | src/ci_workflow/ci_input_manifest.py | boktorbb-amzn/opensearch-build | ea5a964b2a570ac518b380ef6efd42c38ae9f911 | [
"Apache-2.0"
] | 1,590 | 2021-05-07T20:21:19.000Z | 2022-03-31T23:57:53.000Z | src/ci_workflow/ci_input_manifest.py | mch2/opensearch-build | 39464ae1ded2b628d5b6cacb22064b715906520d | [
"Apache-2.0"
] | 134 | 2021-05-07T19:27:56.000Z | 2022-03-24T23:06:17.000Z | # SPDX-License-Identifier: Apache-2.0
#
# The OpenSearch Contributors require contributions made to
# this file be licensed under the Apache-2.0 license or a
# compatible open source license.
| 36.888889 | 126 | 0.725904 | # SPDX-License-Identifier: Apache-2.0
#
# The OpenSearch Contributors require contributions made to
# this file be licensed under the Apache-2.0 license or a
# compatible open source license.
import logging
from ci_workflow.ci_check_lists import CiCheckLists
from ci_workflow.ci_manifest import CiManifest
from ci_work... | 0 | 0 | 0 | 844 | 0 | 0 | 0 | 134 | 157 |
f0fb6a2538f33841224a7ecc9b974600b1e5efc6 | 443 | py | Python | src/GUI/compile_space/line.py | gitter-badger/GeoMetrics | 8f33a7da1db88ea49f10772c4bf63b357e9f066c | [
"MIT"
] | 1 | 2018-10-19T12:35:27.000Z | 2018-10-19T12:35:27.000Z | src/GUI/compile_space/line.py | gitter-badger/GeoMetrics | 8f33a7da1db88ea49f10772c4bf63b357e9f066c | [
"MIT"
] | null | null | null | src/GUI/compile_space/line.py | gitter-badger/GeoMetrics | 8f33a7da1db88ea49f10772c4bf63b357e9f066c | [
"MIT"
] | null | null | null |
name = "Line"
| 17.038462 | 69 | 0.659142 | import matplotlib.pyplot as plt
from matplotlib import *
from numpy import *
from matplotlib.animation import *
name = "Line"
def shape(fig, slope, a, b):
def x_(y):
x = 2*y
return x
y = linspace(a, b, 100)
#y = meshgrid(y)
x = x_(y)
plt.axis(grid)
plt.axis('equal')
line = plt.plot(x,y)
#... | 0 | 0 | 0 | 0 | 0 | 292 | 0 | 24 | 111 |
073be6d009b44ee5ab834a0e374db634c56b9903 | 36,392 | py | Python | odoo/base-addons/survey/models/survey_survey.py | LucasBorges-Santos/docker-odoo | 53987bbd61f6119669b5f801ee2ad54695084a21 | [
"MIT"
] | null | null | null | odoo/base-addons/survey/models/survey_survey.py | LucasBorges-Santos/docker-odoo | 53987bbd61f6119669b5f801ee2ad54695084a21 | [
"MIT"
] | null | null | null | odoo/base-addons/survey/models/survey_survey.py | LucasBorges-Santos/docker-odoo | 53987bbd61f6119669b5f801ee2ad54695084a21 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
| 49.178378 | 196 | 0.619724 | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
import uuid
from collections import Counter, OrderedDict
from itertools import product
from werkzeug import urls
import random
from odoo import api, fields, models, _
from odoo.exceptions import UserError
from odoo.osv... | 0 | 10,489 | 0 | 25,540 | 0 | 0 | 0 | 61 | 202 |
5c6f0052b67e99312353d8f258a9203e7198bf74 | 3,539 | py | Python | camping_server2/database/review_table.py | solyourock/crawling_project | 068525f299eb180d46f1537ee2a02648bbec61ec | [
"MIT"
] | null | null | null | camping_server2/database/review_table.py | solyourock/crawling_project | 068525f299eb180d46f1537ee2a02648bbec61ec | [
"MIT"
] | null | null | null | camping_server2/database/review_table.py | solyourock/crawling_project | 068525f299eb180d46f1537ee2a02648bbec61ec | [
"MIT"
] | null | null | null | import config as config
| 46.565789 | 144 | 0.556937 | import pandas as pd
import re
import config as config
class ReviewInsert:
def __init__(self):
self.naver = config.Config.NAVER
self.kakao = config.Config.KAKAO
self.camp=config.Config.CAMP
# 네이버 리뷰 전처리
def naver_review(self):
naver = self.naver
naver['user_info'] =... | 129 | 0 | 0 | 3,403 | 0 | 0 | 0 | -14 | 67 |
c5ecbb8f4093c9d1b57a4f9aefd519132d4e198c | 505 | py | Python | gitconfig_parser/metadata.py | seanfisk/gitconfig-parser | f747a4263bdd7fc4ffd6b6a0fe34ef7cf7e935a8 | [
"MIT"
] | null | null | null | gitconfig_parser/metadata.py | seanfisk/gitconfig-parser | f747a4263bdd7fc4ffd6b6a0fe34ef7cf7e935a8 | [
"MIT"
] | null | null | null | gitconfig_parser/metadata.py | seanfisk/gitconfig-parser | f747a4263bdd7fc4ffd6b6a0fe34ef7cf7e935a8 | [
"MIT"
] | 2 | 2019-03-07T04:55:29.000Z | 2019-03-28T00:59:55.000Z | """:mod:`gitconfig_parser.metadata` --- Project metadata
Information describing the project.
"""
# The package name, which is also the "UNIX name" for the project.
package = 'gitconfig_parser'
project = "gitconfig parser"
project_no_spaces = project.replace(' ', '')
version = '0.1'
description = 'Parse a .gitconfig f... | 28.055556 | 66 | 0.710891 | """:mod:`gitconfig_parser.metadata` --- Project metadata
Information describing the project.
"""
# The package name, which is also the "UNIX name" for the project.
package = 'gitconfig_parser'
project = "gitconfig parser"
project_no_spaces = project.replace(' ', '')
version = '0.1'
description = 'Parse a .gitconfig f... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7f811144d31029ae77dbeca057082d4bb9bfc049 | 5,819 | py | Python | bilana/files/pofn.py | azadeha83/BilayAna | 1150a148da2864b88eff2bfb8204a5f51ace0b9a | [
"MIT"
] | null | null | null | bilana/files/pofn.py | azadeha83/BilayAna | 1150a148da2864b88eff2bfb8204a5f51ace0b9a | [
"MIT"
] | null | null | null | bilana/files/pofn.py | azadeha83/BilayAna | 1150a148da2864b88eff2bfb8204a5f51ace0b9a | [
"MIT"
] | null | null | null |
def pofn(systeminfo, neiblist, fname="neighbortype_distribution.dat"):
'''
Creates datafile < fname > with columns:
< time > < residue > < resname > < N comp 1 > < N comp 2 > ... < N comp i >
'''
components = systeminfo.molecules
with open(fname, "w") as outf:
print("{: <12}{:... | 44.761538 | 115 | 0.488744 | import numpy as np
import bisect
from ..common import exec_gromacs
def write_pofn_file(outfilename, pofn, typeset, averageing='off', count_type='Ntot'):
with open(outfilename, "w") as outf:
print("{: <10}{: <5}{: <20}".format('Scd', count_type, ' '.join(sorted(typeset))), file=outf)
for scdval in s... | 0 | 0 | 0 | 0 | 0 | 1,064 | 0 | 1 | 89 |
dcd4cad40b670e6ad008de32199693584c038c27 | 16,037 | py | Python | src/triage/cli.py | DataFactorTOP/triage | f8d16c745fcb81740cb402671117d647e497c5a7 | [
"MIT"
] | null | null | null | src/triage/cli.py | DataFactorTOP/triage | f8d16c745fcb81740cb402671117d647e497c5a7 | [
"MIT"
] | null | null | null | src/triage/cli.py | DataFactorTOP/triage | f8d16c745fcb81740cb402671117d647e497c5a7 | [
"MIT"
] | null | null | null |
import verboselogs
logger = verboselogs.VerboseLogger(__name__)
| 36.365079 | 218 | 0.616761 | import argparse
import importlib.util
import os
import yaml
from datetime import datetime
from descriptors import cachedproperty
from argcmdr import RootCommand, Command, main, cmdmethod
from sqlalchemy.engine.url import URL
from triage.component.architect.feature_generators import FeatureGenerator
from triage.compo... | 0 | 13,333 | 0 | 1,126 | 0 | 362 | 0 | 558 | 583 |
aab24a27b3201d7176b6d735e9eeae34b34971d2 | 15,903 | py | Python | gpt/gpt_util.py | etherlabsio/hinton | eedd99f6a5fbbc38283bbf945dff4f4006a3d1f5 | [
"MIT"
] | null | null | null | gpt/gpt_util.py | etherlabsio/hinton | eedd99f6a5fbbc38283bbf945dff4f4006a3d1f5 | [
"MIT"
] | null | null | null | gpt/gpt_util.py | etherlabsio/hinton | eedd99f6a5fbbc38283bbf945dff4f4006a3d1f5 | [
"MIT"
] | 1 | 2020-04-19T11:08:02.000Z | 2020-04-19T11:08:02.000Z | import csv
from tqdm import tqdm
import numpy as np
import torch
import torch.nn as nn
from pytorch_pretrained_bert import (OpenAIGPTDoubleHeadsModel)
##############################################################################
# Defining constants over here
seed = 42
model_name = 'openai-gpt'
#train_dataset = '/... | 50.485714 | 239 | 0.749481 | import argparse
import os
import csv
import random
import logging
from tqdm import tqdm, trange
import numpy as np
import torch
import torch.nn as nn
from torch.utils.data import (DataLoader, RandomSampler, SequentialSampler,
TensorDataset)
from pytorch_pretrained_bert import (OpenAIGPTDoubleHeadsModel, OpenA... | 0 | 0 | 0 | 8,554 | 0 | 1,784 | 0 | 283 | 270 |
5b21054650292a232b0a2123e23f4300d1188808 | 11,421 | py | Python | data_processing/filter_aichallenge2018_only_single_person.py | tucan9389/mobile-pose-estimation-for-TF2 | 82a01359820c1797505a13bc663df49b717cc696 | [
"Apache-2.0"
] | 122 | 2019-04-08T04:20:26.000Z | 2021-03-22T05:32:29.000Z | data_processing/filter_aichallenge2018_only_single_person.py | tucan9389/mobile-pose-estimation-for-TF2 | 82a01359820c1797505a13bc663df49b717cc696 | [
"Apache-2.0"
] | 45 | 2019-03-31T22:29:31.000Z | 2021-03-21T07:00:08.000Z | data_processing/filter_aichallenge2018_only_single_person.py | tucan9389/mobile-pose-estimation-for-TF2 | 82a01359820c1797505a13bc663df49b717cc696 | [
"Apache-2.0"
] | 35 | 2019-05-24T03:43:11.000Z | 2021-03-09T08:22:22.000Z | import os, json, shutil
# coco_annotation_json_path = "/home/centos/datasets/ai_challenger_2018/ai_challenger_keypoint_train_20170909/keypoint_train_annotations_20170909.json"
# image_source_dir_path = "/home/centos/datasets/ai_challenger_2018/ai_challenger_keypoint_train_20170909/keypoint_train_images_201... | 47.987395 | 875 | 0.687068 | import os, json, shutil
# coco_annotation_json_path = "/home/centos/datasets/ai_challenger_2018/ai_challenger_keypoint_train_20170909/keypoint_train_annotations_20170909.json"
# image_source_dir_path = "/home/centos/datasets/ai_challenger_2018/ai_challenger_keypoint_train_20170909/keypoint_train_images_201... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ad6fccd97c42913f9a12c342b71ce5c7c1616c3d | 8,231 | py | Python | mGui/events.py | theodox/mGui | d2cd8c48ae1d51c9587b0aaab5b1d296a0561625 | [
"MIT"
] | 105 | 2015-01-13T10:52:55.000Z | 2022-03-23T12:49:01.000Z | mGui/events.py | techartorg/mGui | d2cd8c48ae1d51c9587b0aaab5b1d296a0561625 | [
"MIT"
] | 84 | 2015-01-15T14:56:08.000Z | 2019-04-15T17:03:51.000Z | mGui/events.py | techartorg/mGui | d2cd8c48ae1d51c9587b0aaab5b1d296a0561625 | [
"MIT"
] | 22 | 2015-01-11T11:25:37.000Z | 2021-12-24T06:34:46.000Z | """
events.py
Defines a simple event handler system similar to that used in C#. Events allow
multicast delegates and arbitrary message passing. They use weak references so
they don't keep their handlers alive if they are otherwise out of scope.
"""
import inspect
# # create weak references to both bound and unb... | 28.679443 | 113 | 0.604422 | """
events.py
Defines a simple event handler system similar to that used in C#. Events allow
multicast delegates and arbitrary message passing. They use weak references so
they don't keep their handlers alive if they are otherwise out of scope.
"""
import weakref
import maya.utils
from functools import partial, wrap... | 0 | 36 | 0 | 7,111 | 0 | 0 | 0 | 4 | 208 |