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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b93aaaa098f5b0f5469045e2b958a621296c7782 | 5,253 | py | Python | train_textcnn_keras.py | BobooFu/Intelligent_sentence | bd3a028128826a8d1dffdd2040445cc396d383e8 | [
"MIT"
] | 1 | 2021-06-04T10:56:57.000Z | 2021-06-04T10:56:57.000Z | train_textcnn_keras.py | BobooFu/Intelligent_sentence | bd3a028128826a8d1dffdd2040445cc396d383e8 | [
"MIT"
] | null | null | null | train_textcnn_keras.py | BobooFu/Intelligent_sentence | bd3a028128826a8d1dffdd2040445cc396d383e8 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
from keras.models import Model
from keras.layers import Dense, Embedding, Input, Dropout
from keras.layers.merge import concatenate
from keras.layers import Conv1D, BatchNormalization, Activation, GlobalMaxPooling1D
#from keras.utils import multi_gpu_model
from sklearn.metrics imp... | 39.496241 | 105 | 0.678279 | import numpy as np
import pandas as pd
from keras.models import Model
from keras.layers import Dense, Embedding, Input, Dropout
from keras.layers.merge import concatenate
from keras.layers import Conv1D, BatchNormalization, Activation, GlobalMaxPooling1D
#from keras.utils import multi_gpu_model
from data_utils.evaluati... | 450 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 22 |
d42be723efccbe75a36d209fc5c95e66663865f1 | 646 | py | Python | Lib/Scripts/glyphs/anchors/center.py | gferreira/hTools2 | a75a671b81a0f4ce5c82b2ad3e2f971ca3e3d98c | [
"BSD-3-Clause"
] | 11 | 2015-01-06T15:43:56.000Z | 2019-07-27T00:35:20.000Z | Lib/Scripts/glyphs/anchors/center.py | gferreira/hTools2 | a75a671b81a0f4ce5c82b2ad3e2f971ca3e3d98c | [
"BSD-3-Clause"
] | 2 | 2017-05-17T10:11:46.000Z | 2018-11-21T21:43:43.000Z | Lib/Scripts/glyphs/anchors/center.py | gferreira/hTools2 | a75a671b81a0f4ce5c82b2ad3e2f971ca3e3d98c | [
"BSD-3-Clause"
] | 4 | 2015-01-10T13:58:50.000Z | 2019-12-18T15:40:14.000Z | # [h] center anchors
from hTools2.modules.fontutils import get_glyphs
from hTools2.modules.messages import no_font_open, no_glyph_selected
anchor_names = ['top', 'bottom']
f = CurrentFont()
if f is not None:
glyph_names = get_glyphs(f)
for glyph_name in glyph_names:
glyph = f[glyph_name]
a... | 23.925926 | 68 | 0.622291 | # [h] center anchors
from hTools2.modules.fontutils import get_glyphs
from hTools2.modules.messages import no_font_open, no_glyph_selected
anchor_names = ['top', 'bottom']
f = CurrentFont()
if f is not None:
glyph_names = get_glyphs(f)
for glyph_name in glyph_names:
glyph = f[glyph_name]
a... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4bf0d2cc2591bd38c36fab5a980f0b903b9a4811 | 361 | py | Python | tests/conftest.py | arceo-labs/python-webdrivers | 74905dac5e32f067321c946b1419c066bfbe1f2f | [
"MIT"
] | null | null | null | tests/conftest.py | arceo-labs/python-webdrivers | 74905dac5e32f067321c946b1419c066bfbe1f2f | [
"MIT"
] | 1 | 2021-03-31T19:13:28.000Z | 2021-03-31T19:13:28.000Z | tests/conftest.py | arceo-labs/python-webdrivers | 74905dac5e32f067321c946b1419c066bfbe1f2f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import platform
PLATFORM = platform.system().lower()
| 21.235294 | 61 | 0.753463 | # -*- coding: utf-8 -*-
import platform
import shutil
import tempfile
import pytest
PLATFORM = platform.system().lower()
@pytest.fixture(scope="function", autouse=True)
def local_install_dir(monkeypatch):
install_dir = tempfile.mkdtemp()
monkeypatch.setenv("WEBDRIVERS_INSTALL_DIR", install_dir)
yield in... | 0 | 214 | 0 | 0 | 0 | 0 | 0 | -22 | 90 |
d255e565f981f12f80d5462ccba90000f2a3979d | 4,841 | py | Python | Model/EfficientConvLSTMUnit.py | DawoodChanti/Deep-Learning-for-Spatio-Temporal-Modeling-of-Dynamic-Spontaneous-Emotions | d9f6cd491a960111fc030018a8dd7c2e0cb92c25 | [
"MIT"
] | 1 | 2021-07-01T09:52:22.000Z | 2021-07-01T09:52:22.000Z | Model/EfficientConvLSTMUnit.py | DawoodChanti/Deep-Learning-for-Spatio-Temporal-Modeling-of-Dynamic-Spontaneous-Emotions | d9f6cd491a960111fc030018a8dd7c2e0cb92c25 | [
"MIT"
] | null | null | null | Model/EfficientConvLSTMUnit.py | DawoodChanti/Deep-Learning-for-Spatio-Temporal-Modeling-of-Dynamic-Spontaneous-Emotions | d9f6cd491a960111fc030018a8dd7c2e0cb92c25 | [
"MIT"
] | null | null | null |
# coding: utf-8
# ### Convolutional LSTM implementation with peephole connections
__author__='Dawood Al Chanti'
# In[1]:
import tensorflow as tf
# In[ ]:
#tf.zeros_initializer: initilize with normal distribution instead of zero states
def init_state(inputs,
state_shape,
state_initial... | 36.126866 | 127 | 0.536253 |
# coding: utf-8
# ### Convolutional LSTM implementation with peephole connections
__author__='Dawood Al Chanti'
# In[1]:
import tensorflow as tf
from tensorflow.contrib.slim import add_arg_scope
from tensorflow.contrib.slim import layers
from tensorflow.contrib.layers.python.layers import initializers
# In[ ]:
#t... | 0 | 3,289 | 0 | 0 | 0 | 96 | 0 | 92 | 112 |
ecae68eb35268e828b0d08620dd784f5b9ebd8df | 668 | py | Python | SCIPP_CSV_Parse.py | QuinnPaddock/SCIPP-Code | faa897e55b4edd676aff1103636071766f0b1140 | [
"MIT"
] | null | null | null | SCIPP_CSV_Parse.py | QuinnPaddock/SCIPP-Code | faa897e55b4edd676aff1103636071766f0b1140 | [
"MIT"
] | null | null | null | SCIPP_CSV_Parse.py | QuinnPaddock/SCIPP-Code | faa897e55b4edd676aff1103636071766f0b1140 | [
"MIT"
] | null | null | null | import csv
#need to extract the fields "EPC" and "Local Name" from the csv file "module frames 23june2021.csv"
filename = 'module frames 23june2021.csv' #this will need to be changed based on what the file is called on whatever computer
with open(filename, 'r', newline='') as csv_file:
reader =... | 23.034483 | 126 | 0.652695 | import csv
#need to extract the fields "EPC" and "Local Name" from the csv file "module frames 23june2021.csv"
filename = 'module frames 23june2021.csv' #this will need to be changed based on what the file is called on whatever computer
with open(filename, 'r', newline='') as csv_file:
reader =... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3f08d4276e526b1e7213056a78a393f79d3c0643 | 7,280 | py | Python | bock/search.py | afreeorange/bock | 492a6fdd289831a4035c5245c89d91bbca3b4b90 | [
"RSA-MD"
] | 14 | 2017-02-20T18:57:09.000Z | 2022-01-23T00:39:19.000Z | bock/search.py | afreeorange/bock | 492a6fdd289831a4035c5245c89d91bbca3b4b90 | [
"RSA-MD"
] | 15 | 2016-12-19T18:29:01.000Z | 2022-02-26T02:50:33.000Z | bock/search.py | afreeorange/bock | 492a6fdd289831a4035c5245c89d91bbca3b4b90 | [
"RSA-MD"
] | 2 | 2016-08-18T03:49:16.000Z | 2018-01-12T06:28:55.000Z | """
Set up a simple Whoosh index and provide a few simple methods to update and
search it. To try at a REPL or from another module.
Here's some copypasta for, say, an iPython session:
article_root = "/Users/nikhilanand/Dropbox/wiki.nikhil.io.articles"
search_index = create_search_index(article_root)
updat... | 29.003984 | 83 | 0.633104 | """
Set up a simple Whoosh index and provide a few simple methods to update and
search it. To try at a REPL or from another module.
Here's some copypasta for, say, an iPython session:
article_root = "/Users/nikhilanand/Dropbox/wiki.nikhil.io.articles"
search_index = create_search_index(article_root)
updat... | 0 | 0 | 0 | 0 | 0 | 5,288 | 0 | 179 | 273 |
2a1134999ab69ba158e413ca15ef36f4938aeca2 | 5,848 | py | Python | create_db.py | aernesto/Data_IO_Clicks_Project | 2683d11cfa96793d036aa5c1597fb1e0d7b60506 | [
"MIT"
] | null | null | null | create_db.py | aernesto/Data_IO_Clicks_Project | 2683d11cfa96793d036aa5c1597fb1e0d7b60506 | [
"MIT"
] | null | null | null | create_db.py | aernesto/Data_IO_Clicks_Project | 2683d11cfa96793d036aa5c1597fb1e0d7b60506 | [
"MIT"
] | null | null | null | """
The aim of this script is to create a database in hdf5 format
"""
# import copy
import time
import sys
def create_hfd5_data_structure(hdf5file, groupname, num_trials, num_samples, max_trials=1000000):
"""
:param hdf5file: h5py.File
:param groupname:
:param num_trials: nb of trials
:param max_... | 34.60355 | 118 | 0.623119 | """
The aim of this script is to create a database in hdf5 format
"""
# import copy
import time
import sys
from official_fcns import *
def create_hfd5_data_structure(hdf5file, groupname, num_trials, num_samples, max_trials=1000000):
"""
:param hdf5file: h5py.File
:param groupname:
:param num_trials: ... | 0 | 0 | 0 | 0 | 0 | 395 | 0 | 6 | 45 |
782a22871f07cde995cf1bc2f68b2f643fa1d217 | 1,735 | py | Python | tbx/services/migrations/0015_auto_20190207_1625.py | arush15june/wagtail-torchbox | c4d06e096c72bd8007975dc016133024f9d27fab | [
"MIT"
] | null | null | null | tbx/services/migrations/0015_auto_20190207_1625.py | arush15june/wagtail-torchbox | c4d06e096c72bd8007975dc016133024f9d27fab | [
"MIT"
] | null | null | null | tbx/services/migrations/0015_auto_20190207_1625.py | arush15june/wagtail-torchbox | c4d06e096c72bd8007975dc016133024f9d27fab | [
"MIT"
] | null | null | null | # Generated by Django 2.1.5 on 2019-02-07 16:25
| 36.914894 | 156 | 0.599424 | # Generated by Django 2.1.5 on 2019-02-07 16:25
from django.db import migrations, models
import django.db.models.deletion
import modelcluster.fields
class Migration(migrations.Migration):
dependencies = [
('wagtailcore', '0041_group_collection_permissions_verbose_name_plural'),
('services', '001... | 0 | 0 | 0 | 1,561 | 0 | 0 | 0 | 35 | 90 |
e450b33ce98ad68f6800130c1efa749017e347ac | 92 | py | Python | example/test/T6_zuoye.py | Michael8968/skulpt | 15956a60398fac92ee1dab25bf661ffc003b2eaf | [
"MIT"
] | 2 | 2021-12-18T06:34:26.000Z | 2022-01-05T05:08:47.000Z | example/test/T6_zuoye.py | Michael8968/skulpt | 15956a60398fac92ee1dab25bf661ffc003b2eaf | [
"MIT"
] | null | null | null | example/test/T6_zuoye.py | Michael8968/skulpt | 15956a60398fac92ee1dab25bf661ffc003b2eaf | [
"MIT"
] | null | null | null | import turtle
for i in range(6):
turtle.forward(100)
turtle.right(60)
turtle.done()
| 15.333333 | 23 | 0.684783 | import turtle
for i in range(6):
turtle.forward(100)
turtle.right(60)
turtle.done()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0e1ec541ba1d0357739228f125a3dd064f30947a | 1,585 | py | Python | epitope_count_comparison.py | pdxgx/neoepiscope-paper | 8e5187abe7764fdd3f94086d72e13082c4f0818f | [
"MIT"
] | 1 | 2020-03-16T01:29:46.000Z | 2020-03-16T01:29:46.000Z | epitope_count_comparison.py | pdxgx/neoepiscope-paper | 8e5187abe7764fdd3f94086d72e13082c4f0818f | [
"MIT"
] | null | null | null | epitope_count_comparison.py | pdxgx/neoepiscope-paper | 8e5187abe7764fdd3f94086d72e13082c4f0818f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import glob
import argparse
# Set up command line arguments
parser = argparse.ArgumentParser()
parser.add_argument('-e', '--epitope_dir', type=str, required=True,
help='path to directory containing neoepiscope results'
)
parser.add_argument('-o', '--output_dir', type=str, req... | 33.723404 | 145 | 0.691483 | #!/usr/bin/env python
import os
import glob
import argparse
# Set up command line arguments
parser = argparse.ArgumentParser()
parser.add_argument('-e', '--epitope_dir', type=str, required=True,
help='path to directory containing neoepiscope results'
)
parser.add_argument('-o', '--output_dir', type=str, req... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
890d178c676ecd50a60d734f255ddca0ec47c78f | 3,285 | py | Python | Bite_30/directors.py | alehpineda/bitesofpy | bfd319a606cd0b7b9bfb85a3e8942872a2d43c48 | [
"MIT"
] | null | null | null | Bite_30/directors.py | alehpineda/bitesofpy | bfd319a606cd0b7b9bfb85a3e8942872a2d43c48 | [
"MIT"
] | 2 | 2020-09-24T11:25:29.000Z | 2021-06-25T15:43:35.000Z | Bite_30/directors.py | alehpineda/bitesofpy | bfd319a606cd0b7b9bfb85a3e8942872a2d43c48 | [
"MIT"
] | null | null | null | """
In this Bite we are going to parse a csv movie dataset to identify the
directors with the highest rated movies.
Write get_movies_by_director: use csv.DictReader to convert
movie_metadata.csv into a (default)dict of lists of Movie namedtuples.
Convert/filter the data:
Only extract director_name, movie_title, ... | 32.205882 | 79 | 0.698326 | """
In this Bite we are going to parse a csv movie dataset to identify the
directors with the highest rated movies.
Write get_movies_by_director: use csv.DictReader to convert
movie_metadata.csv into a (default)dict of lists of Movie namedtuples.
Convert/filter the data:
Only extract director_name, movie_title, ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cf7f6a09c0194541dc06ad7936613b05006e7476 | 576 | py | Python | python-service/main.py | spinscale/spring-boot-reactive-observability-demo | 3bf604d56b1dab7fc1004d0449394f03fbefe36e | [
"Apache-2.0"
] | 1 | 2021-11-09T10:59:48.000Z | 2021-11-09T10:59:48.000Z | python-service/main.py | spinscale/spring-boot-reactive-observability-demo | 3bf604d56b1dab7fc1004d0449394f03fbefe36e | [
"Apache-2.0"
] | 1 | 2021-10-14T03:26:25.000Z | 2021-10-14T03:26:25.000Z | python-service/main.py | spinscale/spring-boot-reactive-observability-demo | 3bf604d56b1dab7fc1004d0449394f03fbefe36e | [
"Apache-2.0"
] | 2 | 2021-10-21T09:35:32.000Z | 2021-11-04T04:44:26.000Z | from flask import Flask
import logging
from elasticapm.contrib.flask import ElasticAPM
app = Flask(__name__)
apm = ElasticAPM(app, logging=logging.INFO,
server_url="",
service_name="",
secret_token="",
use_elastic_traceparent_header=True)
if __name_... | 26.181818 | 69 | 0.652778 | from flask import Flask, render_template
import requests
import logging
from elasticapm.contrib.flask import ElasticAPM
app = Flask(__name__)
apm = ElasticAPM(app, logging=logging.INFO,
server_url="",
service_name="",
secret_token="",
use_elastic_tra... | 0 | 158 | 0 | 0 | 0 | 0 | 0 | 11 | 45 |
36157007102c366e9396f698edabc672ce401d96 | 21,519 | py | Python | 3rdparty/pytorch/aten/src/ATen/gen.py | WoodoLee/TorchCraft | 999f68aab9e7d50ed3ae138297226dc95fefc458 | [
"MIT"
] | null | null | null | 3rdparty/pytorch/aten/src/ATen/gen.py | WoodoLee/TorchCraft | 999f68aab9e7d50ed3ae138297226dc95fefc458 | [
"MIT"
] | null | null | null | 3rdparty/pytorch/aten/src/ATen/gen.py | WoodoLee/TorchCraft | 999f68aab9e7d50ed3ae138297226dc95fefc458 | [
"MIT"
] | null | null | null | import argparse
import os
import sys
from os import path
sys.path.append(path.dirname(path.abspath(__file__)))
from code_template import CodeTemplate
# This file is the top-level entry point for code generation in ATen.
# It takes an arbitrary number of arguments specifying metadata files to
# process (.cwrap, .yam... | 40.297753 | 116 | 0.654677 | import argparse
import os
import yaml
from collections import OrderedDict
import sys
from os import path
sys.path.append(path.dirname(path.abspath(__file__)))
import cwrap_parser
import nn_parse
import native_parse
import preprocess_declarations
import function_wrapper
from code_template import CodeTemplate
# Thi... | 0 | 0 | 0 | 2,239 | 312 | 12,767 | 0 | 5 | 407 |
4d1d1716e02005f61fb72dbfc3c3b208cea80e95 | 928 | py | Python | batch_apps/maintenance.py | azam-a/batcher | 3e22f017b23bc22d0bec6eced4c94ee56e3b36f9 | [
"MIT"
] | null | null | null | batch_apps/maintenance.py | azam-a/batcher | 3e22f017b23bc22d0bec6eced4c94ee56e3b36f9 | [
"MIT"
] | null | null | null | batch_apps/maintenance.py | azam-a/batcher | 3e22f017b23bc22d0bec6eced4c94ee56e3b36f9 | [
"MIT"
] | null | null | null |
def sizeof_formatter(num, suffix='B'):
'''
http://stackoverflow.com/a/1094933/3480790
'''
for unit in ['', 'Ki', 'Mi', 'Gi', 'Ti', 'Pi', 'Ei', 'Zi']:
if abs(num) < 1024.0:
return "%3.1f %s%s" % (num, unit, suffix)
num /= 1024.0
| 23.2 | 67 | 0.633621 | from django.db import connection
from django_mailbox.models import Message
import os
import sqlite3
def get_sqlite_filesize(path='db.sqlite3'):
try:
filesize_unformatted = os.path.getsize(path)
filesize_humanised = sizeof_formatter(filesize_unformatted)
return filesize_humanised
excep... | 0 | 0 | 0 | 0 | 0 | 481 | 0 | 12 | 158 |
92968d1ca9e4c2efba5ab077c714407fe89064eb | 1,558 | py | Python | kisensum/openadr/openadr/vtn/migrations/0024_auto_20171114_1830.py | ChargePoint/volttron-applications | 8d99c01a93f7c1ea98d4e4b0cfcefe85fe26320b | [
"BSD-3-Clause"
] | null | null | null | kisensum/openadr/openadr/vtn/migrations/0024_auto_20171114_1830.py | ChargePoint/volttron-applications | 8d99c01a93f7c1ea98d4e4b0cfcefe85fe26320b | [
"BSD-3-Clause"
] | 4 | 2021-03-19T23:36:34.000Z | 2021-12-13T19:45:54.000Z | kisensum/openadr/openadr/vtn/migrations/0024_auto_20171114_1830.py | ChargePoint/volttron-applications | 8d99c01a93f7c1ea98d4e4b0cfcefe85fe26320b | [
"BSD-3-Clause"
] | 1 | 2020-05-25T05:03:55.000Z | 2020-05-25T05:03:55.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-11-14 18:30
from __future__ import unicode_literals
| 38 | 156 | 0.622593 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-11-14 18:30
from __future__ import unicode_literals
import datetime
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('vtn', '0023_auto_20171114_1801'),
]
... | 0 | 0 | 0 | 1,330 | 0 | 0 | 0 | 24 | 90 |
3e201980c04abca62021dc11be5a9a0c88a5ec60 | 1,454 | py | Python | yo/db/watch_table.py | dpays/dsocial-notifications | 32b1cdcd58d622407fd50206053c5b9735a56ba9 | [
"MIT"
] | 10 | 2017-10-22T20:07:40.000Z | 2018-08-01T21:48:49.000Z | yo/db/watch_table.py | dpays/dsocial-notifications | 32b1cdcd58d622407fd50206053c5b9735a56ba9 | [
"MIT"
] | 81 | 2017-08-19T15:38:32.000Z | 2020-05-12T09:56:14.000Z | yo/db/watch_table.py | dpays/dsocial-notifications | 32b1cdcd58d622407fd50206053c5b9735a56ba9 | [
"MIT"
] | 9 | 2017-09-19T07:12:20.000Z | 2021-05-25T17:09:27.000Z | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import structlog
logger = structlog.get_logger()
if __name__ == "__main__":
watch()
| 33.045455 | 115 | 0.746905 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import asyncio
import click
import yo.yolog
import json
import structlog
logger = structlog.get_logger()
def channel_callback(conn,pid,channel,payload):
logger.info('NOTIFY',conn=conn,pid=pid, channel=channel, payload_type=type(payload), payload=payload)
async def ... | 0 | 409 | 648 | 0 | 0 | 132 | 0 | -32 | 158 |
86b98754a623648df26ed3db8f65e6340af8979b | 804 | py | Python | numpy_test/numpy_k.py | linyang23/AI-Python-Code-Implementations-with-Notes | af729c652a301b199d568d5989adc5ed6413dcf9 | [
"MIT"
] | null | null | null | numpy_test/numpy_k.py | linyang23/AI-Python-Code-Implementations-with-Notes | af729c652a301b199d568d5989adc5ed6413dcf9 | [
"MIT"
] | null | null | null | numpy_test/numpy_k.py | linyang23/AI-Python-Code-Implementations-with-Notes | af729c652a301b199d568d5989adc5ed6413dcf9 | [
"MIT"
] | null | null | null | # coding=utf-8
#
#
import numpy as np
a = np.array([1, 2, 3])
b = np.array([4, 5, 6])
c = np.append(a, b)
print(c)
#appendconcatenate
d = np.concatenate([a, b])
print(d)
#
import numpy as np
a = np.arange(4).reshape(2, 2)
b = np.arange(4).reshape(2, 2)
#
c = np.append(a, b, axis = 0)
print(c)
print("", c.shape)
#
d =... | 13.862069 | 34 | 0.597015 | # coding=utf-8
#数据合并与展平
#合并一维数组
import numpy as np
a = np.array([1, 2, 3])
b = np.array([4, 5, 6])
c = np.append(a, b)
print(c)
#上面使用append，下面使用concatenate
d = np.concatenate([a, b])
print(d)
#多维数组的合并
import numpy as np
a = np.arange(4).reshape(2, 2)
b = np.arange(4).reshape(2, 2)
#按行合并
c = np.append(a, b, axis = 0)
... | 384 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bde8ec6ac413ae679322ae5061e85f54b3da49a7 | 10,630 | py | Python | esperclient/api/group_commands_api.py | pallavigopi/esper-client-py | f7e71d3f25a5d91f35628b414e8abe9e6849d316 | [
"Apache-2.0"
] | null | null | null | esperclient/api/group_commands_api.py | pallavigopi/esper-client-py | f7e71d3f25a5d91f35628b414e8abe9e6849d316 | [
"Apache-2.0"
] | null | null | null | esperclient/api/group_commands_api.py | pallavigopi/esper-client-py | f7e71d3f25a5d91f35628b414e8abe9e6849d316 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
ESPER API REFERENCE
OpenAPI spec version: 1.0.0
Contact: developer@esper.io
---------------------------------------------------------
Copyright 2019 Shoonya Enterprises Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the Li... | 39.516729 | 111 | 0.637159 | # coding: utf-8
"""
ESPER API REFERENCE
OpenAPI spec version: 1.0.0
Contact: developer@esper.io
---------------------------------------------------------
Copyright 2019 Shoonya Enterprises Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the Li... | 0 | 0 | 0 | 9,723 | 0 | 0 | 0 | 0 | 91 |
0998038f175ff046091b18ec0c1927a4b3ab1967 | 1,746 | py | Python | Tree_Two_Sum_BST.py | tw7613781/leetcode | 954a7288c21f315e664927b707b800d4d1d2bd6f | [
"Apache-2.0"
] | null | null | null | Tree_Two_Sum_BST.py | tw7613781/leetcode | 954a7288c21f315e664927b707b800d4d1d2bd6f | [
"Apache-2.0"
] | 1 | 2021-05-11T19:27:47.000Z | 2021-05-11T19:27:47.000Z | Tree_Two_Sum_BST.py | tw7613781/leetcode | 954a7288c21f315e664927b707b800d4d1d2bd6f | [
"Apache-2.0"
] | null | null | null | # https://leetcode.com/problems/two-sum-iv-input-is-a-bst/description/
# brute-force algorithm, but in BST, finding a element is O(log(n)),that is the advantage
head = treeNode(2)
head.left = treeNode(1)
head.right = treeNode(3)
solution = Solution()
print(solution.findTarget(head,4)) | 30.103448 | 110 | 0.56071 | # https://leetcode.com/problems/two-sum-iv-input-is-a-bst/description/
# brute-force algorithm, but in BST, finding a element is O(log(n)),that is the advantage
class treeNode:
def __init__(self,val):
self.val = val
self.left = None
self.right = None
class Solution:
def findTarget(sel... | 0 | 0 | 0 | 1,414 | 0 | 0 | 0 | 0 | 46 |
6a65f81117dc66041c5767160ce1307755c65e4f | 2,214 | py | Python | azure-servicefabric/azure/servicefabric/models/upgrade_orchestration_service_state_summary.py | Christina-Kang/azure-sdk-for-python | bbf982eb06aab04b8151f69f1d230b7f5fb96ebf | [
"MIT"
] | 1 | 2022-03-30T22:39:15.000Z | 2022-03-30T22:39:15.000Z | azure-servicefabric/azure/servicefabric/models/upgrade_orchestration_service_state_summary.py | Christina-Kang/azure-sdk-for-python | bbf982eb06aab04b8151f69f1d230b7f5fb96ebf | [
"MIT"
] | 54 | 2016-03-25T17:25:01.000Z | 2018-10-22T17:27:54.000Z | azure-servicefabric/azure/servicefabric/models/upgrade_orchestration_service_state_summary.py | Christina-Kang/azure-sdk-for-python | bbf982eb06aab04b8151f69f1d230b7f5fb96ebf | [
"MIT"
] | 2 | 2017-01-20T18:25:46.000Z | 2017-05-12T21:31:47.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 46.125 | 164 | 0.692412 | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 0 | 0 | 0 | 1,677 | 0 | 0 | 0 | 17 | 46 |
07c01c7556206faa6b28364e85a706cca1888fd2 | 3,843 | py | Python | lambda/py/lambda_function.py | iJos/alexa-skill-boilerplate | 28f0de0b9e1142f02dc18ce816eb188ca6449425 | [
"MIT"
] | 7 | 2018-12-01T17:46:45.000Z | 2019-01-11T13:22:40.000Z | lambda/py/lambda_function.py | iJos/alexa-skill-boilerplate | 28f0de0b9e1142f02dc18ce816eb188ca6449425 | [
"MIT"
] | null | null | null | lambda/py/lambda_function.py | iJos/alexa-skill-boilerplate | 28f0de0b9e1142f02dc18ce816eb188ca6449425 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# From: https://github.com/alexa/skill-sample-python-helloworld-classes/blob/master/lambda/py/hello_world.py
import logging
from ask_sdk_core.skill_builder import SkillBuilder
sb = SkillBuilder()
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
sb.add_request_handle... | 32.567797 | 108 | 0.745251 | # -*- coding: utf-8 -*-
# From: https://github.com/alexa/skill-sample-python-helloworld-classes/blob/master/lambda/py/hello_world.py
import logging
from ask_sdk_core.skill_builder import SkillBuilder
from ask_sdk_core.dispatch_components import (
AbstractRequestHandler, AbstractExceptionHandler,
AbstractRequ... | 0 | 0 | 0 | 2,718 | 0 | 0 | 0 | 242 | 249 |
2d9288e53c6d647ef90c501dd7fe42a5de23c7f5 | 444 | py | Python | setup.py | streamDream/mysql-stream | 1786594441290f30e0e1b07c6ffcec3ab9f7c192 | [
"MIT"
] | 2 | 2020-09-23T09:20:00.000Z | 2020-09-23T09:25:18.000Z | setup.py | streamDream/mysql-stream | 1786594441290f30e0e1b07c6ffcec3ab9f7c192 | [
"MIT"
] | null | null | null | setup.py | streamDream/mysql-stream | 1786594441290f30e0e1b07c6ffcec3ab9f7c192 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
setup(
name="mysql-stream",
packages=find_packages(),
version='0.0.4',
description="simple and easy to use MySQL client and ORM library",
author="chenchong",
author_email='boy3565@163.com',
url="https://github.com/streamDream/mysql-stream",
ke... | 24.666667 | 70 | 0.63964 | from setuptools import setup, find_packages
setup(
name="mysql-stream",
packages=find_packages(),
version='0.0.4',
description="simple and easy to use MySQL client and ORM library",
author="chenchong",
author_email='boy3565@163.com',
url="https://github.com/streamDream/mysql-stream",
ke... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7fda18638567fbeb4196dc0d0863b73577956494 | 113 | py | Python | oauth2_provider/__init__.py | sfx/django-oauth-toolkit | 08ce1d63bfad16905a7d9f758591c0e8c65706ec | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | oauth2_provider/__init__.py | sfx/django-oauth-toolkit | 08ce1d63bfad16905a7d9f758591c0e8c65706ec | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | oauth2_provider/__init__.py | sfx/django-oauth-toolkit | 08ce1d63bfad16905a7d9f758591c0e8c65706ec | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | __version__ = '0.7.4'
__author__ = "Massimiliano Pippi & Federico Frenguelli"
VERSION = __version__ # synonym
| 18.833333 | 55 | 0.743363 | __version__ = '0.7.4'
__author__ = "Massimiliano Pippi & Federico Frenguelli"
VERSION = __version__ # synonym
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5daa5d7e7193050a2cca8aeffc7d030e15070f52 | 2,935 | py | Python | Model/snf.py | Jivi2478/SNF | 0911979f53570febfd96482692225ebda474764f | [
"Apache-2.0"
] | null | null | null | Model/snf.py | Jivi2478/SNF | 0911979f53570febfd96482692225ebda474764f | [
"Apache-2.0"
] | null | null | null | Model/snf.py | Jivi2478/SNF | 0911979f53570febfd96482692225ebda474764f | [
"Apache-2.0"
] | 1 | 2022-01-23T13:06:45.000Z | 2022-01-23T13:06:45.000Z | # -*- coding: utf-8 -*-
"""SNF.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/15jbQLqhfFg0702_O2gy-0oXndCGRACOP
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import pickle
#importing dataset
d... | 22.929688 | 86 | 0.763203 | # -*- coding: utf-8 -*-
"""SNF.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/15jbQLqhfFg0702_O2gy-0oXndCGRACOP
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import pickle
#importing dataset
d... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 23 |
e69ec9e916937952bc8e27a9428f3637564da38b | 1,653 | py | Python | ffcv/transforms/replace_label.py | neuroailab/ffcv | 43d249762d32ce873678a9b8d7983ae653ad6f84 | [
"Apache-2.0"
] | 1 | 2022-01-25T05:04:34.000Z | 2022-01-25T05:04:34.000Z | ffcv/transforms/replace_label.py | neuroailab/ffcv | 43d249762d32ce873678a9b8d7983ae653ad6f84 | [
"Apache-2.0"
] | null | null | null | ffcv/transforms/replace_label.py | neuroailab/ffcv | 43d249762d32ce873678a9b8d7983ae653ad6f84 | [
"Apache-2.0"
] | 1 | 2022-02-25T15:58:42.000Z | 2022-02-25T15:58:42.000Z | """
Replace label
"""
from typing import Tuple
| 29.517857 | 105 | 0.669691 | """
Replace label
"""
from collections.abc import Sequence
from typing import Tuple
import numpy as np
from numpy import dtype
from numpy.core.numeric import indices
from numpy.random import rand
from typing import Callable, Optional, Tuple
from ..pipeline.allocation_query import AllocationQuery
from ..pipeline.operat... | 0 | 0 | 0 | 1,213 | 0 | 0 | 0 | 149 | 244 |
f7babefdbf6786ea78ab2c0d5e4907b75650c13d | 517 | py | Python | Jetbrain/blog/migrations/0002_auto_20190907_1933.py | uyo-obong/jetbrain_django | 63f267efadb148f1c5afcce3801b3ff173a1dabf | [
"MIT"
] | null | null | null | Jetbrain/blog/migrations/0002_auto_20190907_1933.py | uyo-obong/jetbrain_django | 63f267efadb148f1c5afcce3801b3ff173a1dabf | [
"MIT"
] | null | null | null | Jetbrain/blog/migrations/0002_auto_20190907_1933.py | uyo-obong/jetbrain_django | 63f267efadb148f1c5afcce3801b3ff173a1dabf | [
"MIT"
] | null | null | null | # Generated by Django 2.2.4 on 2019-09-07 19:33
| 21.541667 | 51 | 0.555126 | # Generated by Django 2.2.4 on 2019-09-07 19:33
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='post',
name='slug',
field=mo... | 0 | 0 | 0 | 403 | 0 | 0 | 0 | 19 | 46 |
594c8f61dd838b1903f8555cde3efc98090cb213 | 977 | py | Python | sliding_rate_limiter/backends/base.py | kalibrr/sliding_rate_limiter | d5a553401d15192cc68c1ad7f7c6218786cc3c34 | [
"Apache-2.0"
] | null | null | null | sliding_rate_limiter/backends/base.py | kalibrr/sliding_rate_limiter | d5a553401d15192cc68c1ad7f7c6218786cc3c34 | [
"Apache-2.0"
] | 317 | 2018-07-05T06:34:09.000Z | 2022-03-28T00:57:19.000Z | sliding_rate_limiter/backends/base.py | kalibrr/sliding_rate_limiter | d5a553401d15192cc68c1ad7f7c6218786cc3c34 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
| 31.516129 | 101 | 0.688843 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import abc
import six
class RateLimiterBackend(six.with_metaclass(abc.ABCMeta, object)):
"""
A backend that implements an atomic ``lea... | 0 | 0 | 0 | 755 | 0 | 0 | 0 | -22 | 69 |
8ffc1b65bd14843d7a23021140990238d192b5be | 2,502 | py | Python | app/spider/cdut.py | anlance/cdut2016 | 4f96b92d83a4bfc051b7b04ebdd5740aaed623a1 | [
"MIT"
] | null | null | null | app/spider/cdut.py | anlance/cdut2016 | 4f96b92d83a4bfc051b7b04ebdd5740aaed623a1 | [
"MIT"
] | 1 | 2020-04-17T09:55:38.000Z | 2020-04-17T09:55:38.000Z | app/spider/cdut.py | anlance/cdut2016 | 4f96b92d83a4bfc051b7b04ebdd5740aaed623a1 | [
"MIT"
] | null | null | null |
ua = 'User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.99 Safari/537.36'
headers = {
'User-Agent': ua
}
# news
# news
init_news()
| 30.512195 | 133 | 0.627098 | from datetime import datetime
import re
import requests
from app.spider.spider_utils import get_int_from_str
ua = 'User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.99 Safari/537.36'
headers = {
'User-Agent': ua
}
# 得到目前已有的所有news
def init_news():
ur... | 138 | 0 | 0 | 0 | 0 | 2,101 | 0 | 21 | 132 |
78f47c7c24aba4eb22d39b4084710f27377eea6c | 344 | py | Python | components/commons/navbar.py | nikitosboroda/theme | f2e1bd8a4662f7d82ad22f9b03bea740518c1771 | [
"Apache-2.0"
] | null | null | null | components/commons/navbar.py | nikitosboroda/theme | f2e1bd8a4662f7d82ad22f9b03bea740518c1771 | [
"Apache-2.0"
] | null | null | null | components/commons/navbar.py | nikitosboroda/theme | f2e1bd8a4662f7d82ad22f9b03bea740518c1771 | [
"Apache-2.0"
] | null | null | null | from flask import request, render_template
def render_navbar(context, slot, payload): # pylint: disable=R0201,W0613
""" Base template slot """
chapter = request.args.get('chapter', '')
module = request.args.get('module', '')
return render_template("common/navbar.html", active_chapter=chapter, module=... | 38.222222 | 103 | 0.718023 | from flask import request, render_template
def render_navbar(context, slot, payload): # pylint: disable=R0201,W0613
""" Base template slot """
chapter = request.args.get('chapter', '')
module = request.args.get('module', '')
return render_template("common/navbar.html", active_chapter=chapter, module=... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f6ebdc0659711e065f90ca39ee32771805fc71d8 | 1,672 | py | Python | cauldron/test/runner/test_reload_libraries.py | JohnnyPeng18/cauldron | 09120c2a4cef65df46f8c0c94f5d79395b3298cd | [
"MIT"
] | 90 | 2016-09-02T15:11:10.000Z | 2022-01-02T11:37:57.000Z | cauldron/test/runner/test_reload_libraries.py | JohnnyPeng18/cauldron | 09120c2a4cef65df46f8c0c94f5d79395b3298cd | [
"MIT"
] | 86 | 2016-09-23T16:52:22.000Z | 2022-03-31T21:39:56.000Z | cauldron/test/runner/test_reload_libraries.py | JohnnyPeng18/cauldron | 09120c2a4cef65df46f8c0c94f5d79395b3298cd | [
"MIT"
] | 261 | 2016-12-22T05:36:48.000Z | 2021-11-26T12:40:42.000Z | import random
def _mock_reload_module(history: dict, path: str, library_directory: str):
"""Mocked version of the runner.__init__._reload_module function."""
output = {"path": path, "library_directory": library_directory}
if path not in history and random.random() > 0.5:
history[path] = output
... | 33.44 | 80 | 0.729067 | import functools
import pathlib
import random
from unittest.mock import MagicMock
from unittest.mock import patch
import pytest
import cauldron
from cauldron import runner
def _mock_reload_module(history: dict, path: str, library_directory: str):
"""Mocked version of the runner.__init__._reload_module function.... | 0 | 1,020 | 0 | 0 | 0 | 0 | 0 | 4 | 202 |
c542c60f451e1ce5545123d8c302fc2bf0cc5908 | 4,069 | py | Python | DRMM/utils.py | RandolphVI/Deep-Relevance-Ranking | 7282113a9f5c1e5082fe360323a6930830a70f17 | [
"Apache-2.0"
] | 9 | 2019-02-28T08:59:03.000Z | 2021-02-26T15:56:36.000Z | DRMM/utils.py | RandolphVI/Deep-Relevance-Ranking | 7282113a9f5c1e5082fe360323a6930830a70f17 | [
"Apache-2.0"
] | null | null | null | DRMM/utils.py | RandolphVI/Deep-Relevance-Ranking | 7282113a9f5c1e5082fe360323a6930830a70f17 | [
"Apache-2.0"
] | 1 | 2019-12-18T14:43:08.000Z | 2019-12-18T14:43:08.000Z | import re
# For BioASQ only when using years 1-4 as training and 5 as dev/test.
# Get rid of 2017/2018 plus 2016 in training.
# For competition, training get rid of 2017/2018 and test 2018.
bioclean = lambda t: re.sub('[.,?;*!%^&_+():-\[\]{}]', '', t.replace('"', '').replace('/', '').replace('\\', '').replace("'", ''... | 31.789063 | 154 | 0.565987 | import json
import re
import numpy
import dynet as dy
import random
def leaky_relu(x):
return dy.bmax(.1*x, x)
def uwords(words):
uw = {}
for w in words:
uw[w] = 1
return [w for w in uw]
def ubigrams(words):
uw = {}
prevw = "<pw>"
for w in words:
uw[prevw + '_' + w] = 1
prevw = w
return [... | 0 | 0 | 0 | 0 | 0 | 3,435 | 0 | -30 | 317 |
cf56e12ac894a39bfd605348f20d63a062df3202 | 10,541 | py | Python | test/Tools/test_reduction.py | AntoineSIMTEK/NuMPI | 1723ec17696d413867f4fcfc7ad6079adbef4e2b | [
"MIT"
] | null | null | null | test/Tools/test_reduction.py | AntoineSIMTEK/NuMPI | 1723ec17696d413867f4fcfc7ad6079adbef4e2b | [
"MIT"
] | null | null | null | test/Tools/test_reduction.py | AntoineSIMTEK/NuMPI | 1723ec17696d413867f4fcfc7ad6079adbef4e2b | [
"MIT"
] | null | null | null | #
# Copyright 2018, 2020 Antoine Sanner
# 2019 Lars Pastewka
#
# ### MIT license
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation ... | 28.336022 | 79 | 0.553268 | #
# Copyright 2018, 2020 Antoine Sanner
# 2019 Lars Pastewka
#
# ### MIT license
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation ... | 0 | 4,539 | 0 | 0 | 0 | 3,480 | 0 | 4 | 414 |
48f7a086f0c3b2f028cc0ccf03b72df80002e0c4 | 40,385 | py | Python | deepobs/analyzer/analyze_utils.py | pnorridge/DeepOBS | 33c2fcd88b76041e8f6dd50f4bf380a914c8fa4f | [
"MIT"
] | 91 | 2019-03-20T03:36:04.000Z | 2022-03-14T16:03:50.000Z | deepobs/analyzer/analyze_utils.py | pnorridge/DeepOBS | 33c2fcd88b76041e8f6dd50f4bf380a914c8fa4f | [
"MIT"
] | 27 | 2019-08-30T07:36:56.000Z | 2022-02-09T23:57:37.000Z | deepobs/analyzer/analyze_utils.py | pnorridge/DeepOBS | 33c2fcd88b76041e8f6dd50f4bf380a914c8fa4f | [
"MIT"
] | 32 | 2019-03-13T12:05:22.000Z | 2022-01-26T17:57:21.000Z | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib2tikz import get_tikz_code
from .. import tensorflow
def beautify_lr_sensitivity(fig, ax):
"""Beautify a learning rate sensitivity plot.
This function adds axis labels and removes spines to create a nicer learning
... | 40.385 | 170 | 0.597152 | import os
import json
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib2tikz import save as tikz_save
from matplotlib2tikz import get_tikz_code
from .. import tensorflow
class Analyzer:
"""DeepOBS analyzer class to generate result plots or get other summaries.
Args:
... | 0 | 0 | 0 | 24,254 | 0 | 0 | 0 | 2 | 181 |
3f0aa16a265dd67a1a8dd8836907b1f91b7baab9 | 407 | py | Python | tests/test_isrctn.py | almeidaah/collectors | f03096855b8d702969d22af0b20a4d6a0d820bd0 | [
"MIT"
] | 17 | 2016-06-28T21:20:21.000Z | 2022-03-02T16:31:25.000Z | tests/test_isrctn.py | almeidaah/collectors | f03096855b8d702969d22af0b20a4d6a0d820bd0 | [
"MIT"
] | 41 | 2016-04-04T10:36:45.000Z | 2017-04-24T10:04:57.000Z | tests/test_isrctn.py | kenferrara/collectors | e6c1f45df3a1ffd5d60dada1816484812eb51417 | [
"MIT"
] | 25 | 2016-05-18T09:27:42.000Z | 2021-03-21T14:44:31.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
# Tests
| 23.941176 | 67 | 0.781327 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from importlib import import_module
from collectors.isrctn.spider import _make_start_urls
# Tests
def test_make_start_urls():
result = _mak... | 0 | 0 | 0 | 0 | 0 | 110 | 0 | 46 | 68 |
638a6363ec2227e6b5a31883a275d16159669e8d | 951 | py | Python | setup.py | sinyawskiy/django-tagging | da00169d1e9be6b960842111ea0db2dced47cc3f | [
"BSD-3-Clause"
] | null | null | null | setup.py | sinyawskiy/django-tagging | da00169d1e9be6b960842111ea0db2dced47cc3f | [
"BSD-3-Clause"
] | null | null | null | setup.py | sinyawskiy/django-tagging | da00169d1e9be6b960842111ea0db2dced47cc3f | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
"""
Based entirely on Django's own ``setup.py``.
"""
from setuptools import setup, find_packages
from tagging.version import __version__
setup(
name = 'django-tagging',
version = __version__,
description = 'Generic tagging application for Django',
author = 'Jonathan Buchanan',
... | 30.677419 | 60 | 0.580442 | #!/usr/bin/env python
"""
Based entirely on Django's own ``setup.py``.
"""
from setuptools import setup, find_packages
from tagging.version import __version__
setup(
name = 'django-tagging',
version = __version__,
description = 'Generic tagging application for Django',
author = 'Jonathan Buchanan',
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8ba198301cb60d307f46580423106734163cecdc | 1,032 | py | Python | setup.py | sudharshanakshay/CovidStatusIndia | 86e7a85c445caa00937e9f923b48d07d3c8cf529 | [
"MIT"
] | null | null | null | setup.py | sudharshanakshay/CovidStatusIndia | 86e7a85c445caa00937e9f923b48d07d3c8cf529 | [
"MIT"
] | null | null | null | setup.py | sudharshanakshay/CovidStatusIndia | 86e7a85c445caa00937e9f923b48d07d3c8cf529 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
from pip._internal.req import parse_requirements
install_requirements = parse_requirements('requirements.txt', session=False)
reqs = [str(ir.req) for ir in install_requirements]
VERSION = '0.0.1'
DESCRIPTION = 'Covid-19 Data Extractor - India'
LONG_DESCRIPTION = 'Extracts ... | 34.4 | 116 | 0.70155 | from setuptools import setup, find_packages
from pip._internal.req import parse_requirements
install_requirements = parse_requirements('requirements.txt', session=False)
reqs = [str(ir.req) for ir in install_requirements]
VERSION = '0.0.1'
DESCRIPTION = 'Covid-19 Data Extractor - India'
LONG_DESCRIPTION = 'Extracts ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b32610b31117f02fefdde2db9faea2f82488aed4 | 11,100 | py | Python | MetaScreener/external_sw/mgltools/MGLToolsPckgs/CADD/Raccoon2/gui/SlidingRange.py | bio-hpc/metascreener | 6900497629f601c4b6c0c37da26de58ffa221988 | [
"Apache-2.0"
] | 8 | 2021-12-14T21:30:01.000Z | 2022-02-14T11:30:03.000Z | MetaScreener/external_sw/mgltools/MGLToolsPckgs/CADD/Raccoon2/gui/SlidingRange.py | bio-hpc/metascreener | 6900497629f601c4b6c0c37da26de58ffa221988 | [
"Apache-2.0"
] | null | null | null | MetaScreener/external_sw/mgltools/MGLToolsPckgs/CADD/Raccoon2/gui/SlidingRange.py | bio-hpc/metascreener | 6900497629f601c4b6c0c37da26de58ffa221988 | [
"Apache-2.0"
] | null | null | null | #
# AutoDock | Raccoon2
#
# Copyright 2013, Stefano Forli, Michel Sanner
# Molecular Graphics Lab
#
# The Scripps Research Institute
# _
# (,) T h e
# _/
# (.) S c r i p p s
# \_
# (,) R e s e a r c h
# ./
# ... | 37.627119 | 122 | 0.544144 | #
# AutoDock | Raccoon2
#
# Copyright 2013, Stefano Forli, Michel Sanner
# Molecular Graphics Lab
#
# The Scripps Research Institute
# _
# (,) T h e
# _/
# (.) S c r i p p s
# \_
# (,) R e s e a r c h
# ./
# ... | 0 | 0 | 0 | 9,666 | 0 | 0 | 0 | 0 | 23 |
ddeededc8acd213299cc8370e864e567dfcd3e43 | 32,394 | py | Python | extracts/extract_pipeline.py | AnuragSinghChaudhary/demo | 4425b7ae6f48a2ff92892bf36f54c51a4b8f8423 | [
"MIT"
] | 12 | 2018-05-17T08:34:38.000Z | 2022-01-12T16:56:43.000Z | extracts/extract_pipeline.py | AnuragSinghChaudhary/demo | 4425b7ae6f48a2ff92892bf36f54c51a4b8f8423 | [
"MIT"
] | null | null | null | extracts/extract_pipeline.py | AnuragSinghChaudhary/demo | 4425b7ae6f48a2ff92892bf36f54c51a4b8f8423 | [
"MIT"
] | 7 | 2018-03-22T16:00:53.000Z | 2021-12-15T06:58:49.000Z |
"""
This script finds, imports, filters and validates one or several raw gtfs files.
Preparations:
- Identify needed rawfolders from to_publish.csv ->
browse trough all; create list of all feeds: city, feed, date1, date2, date3...
- Check that all subfeeds are available for the wanted extract period (download date)... | 46.409742 | 207 | 0.616534 | import datetime
import os
import subprocess
import sys
from os import listdir
from zipfile import ZipFile
import zipfile
import pandas
import yaml
from feed_manager import FeedManager
from gtfspy import exports, filter, import_validator, timetable_validator, util
from gtfspy.gtfs import GTFS
from gtfspy.aggregate_sto... | 0 | 19,515 | 0 | 7,461 | 0 | 3,484 | 0 | 323 | 467 |
2de768d459127a3e996d3f085f76c0c0de097923 | 9,244 | py | Python | src/ggpzero/util/symmetry.py | ggplib/ggplearn | 52164bcd6f43d648736e1ae9e556a7f6412339d1 | [
"MIT"
] | 61 | 2019-01-25T11:08:36.000Z | 2022-03-04T12:50:57.000Z | src/ggpzero/util/symmetry.py | ggplib/ggplearn | 52164bcd6f43d648736e1ae9e556a7f6412339d1 | [
"MIT"
] | 12 | 2019-01-17T10:34:16.000Z | 2021-08-25T14:40:44.000Z | src/ggpzero/util/symmetry.py | ggplib/ggplearn | 52164bcd6f43d648736e1ae9e556a7f6412339d1 | [
"MIT"
] | 11 | 2019-01-07T04:16:12.000Z | 2021-10-19T15:01:41.000Z |
def rotate_90(x, y, x_cords, y_cords):
' anti-clockwise '
assert len(x_cords) == len(y_cords)
x_idx = x_cords.index(x)
y_idx = y_cords.index(y)
return x_cords[y_idx], y_cords[len(x_cords) - x_idx - 1]
symbol_factory = None
| 33.860806 | 104 | 0.651017 | from ggplib.util.symbols import SymbolFactory, ListTerm, Term
def reflect_vertical(x, y, x_cords, y_cords):
x_idx = x_cords.index(x)
return x_cords[len(x_cords) - x_idx - 1], y
def reflect_horizontal(x, y, x_cords, y_cords):
y_idx = y_cords.index(y)
return x, y_cords[len(y_cords) - y_idx - 1]
def ... | 0 | 0 | 0 | 7,682 | 0 | 1,108 | 0 | 40 | 160 |
cffcdbc6641e90c7707a595bcd474589600f58dc | 10,413 | py | Python | AlarmClock/AppliedComputingFinal.py | jacobsiepker/CollegeProjects | d0f2f3935007bccebb604540967210994c847c64 | [
"CC0-1.0"
] | null | null | null | AlarmClock/AppliedComputingFinal.py | jacobsiepker/CollegeProjects | d0f2f3935007bccebb604540967210994c847c64 | [
"CC0-1.0"
] | null | null | null | AlarmClock/AppliedComputingFinal.py | jacobsiepker/CollegeProjects | d0f2f3935007bccebb604540967210994c847c64 | [
"CC0-1.0"
] | null | null | null | import time
from gpiozero import Button
import os
import pygame
import pyowm
### Switch, Pick, Update Functions
### Helpers for routine functions
###############
#picks a background color, each call shifts hue by one degree
#Call in while loop for gradual color change
### For User Output, convert time format
... | 25.397561 | 183 | 0.622203 | from datetime import datetime
import time
from gpiozero import Button
import os
import pygame
from tinytag import TinyTag
from random import *
from guizero import *
from colorsys import hsv_to_rgb
import pyowm
### Switch, Pick, Update Functions
### Helpers for routine functions
###############
def switchOff():
g... | 0 | 0 | 0 | 0 | 0 | 5,912 | 0 | 23 | 538 |
371c9981cee8065d9a3187ee6801eb777e23438d | 14,122 | py | Python | mysql-utilities-1.6.0/mysql/utilities/common/binary_log_file.py | bopopescu/mysql-dbcompare | 1e912fd87282be3b3bed48487e6beb0ecb1de339 | [
"Apache-2.0"
] | 2 | 2018-03-20T07:42:58.000Z | 2018-03-20T07:43:49.000Z | mysql-utilities-1.6.0/mysql/utilities/common/binary_log_file.py | bopopescu/mysql-dbcompare | 1e912fd87282be3b3bed48487e6beb0ecb1de339 | [
"Apache-2.0"
] | null | null | null | mysql-utilities-1.6.0/mysql/utilities/common/binary_log_file.py | bopopescu/mysql-dbcompare | 1e912fd87282be3b3bed48487e6beb0ecb1de339 | [
"Apache-2.0"
] | 1 | 2020-07-23T23:07:08.000Z | 2020-07-23T23:07:08.000Z | #
# Copyright (c) 2014, Oracle and/or its affiliates. All rights reserved.
#
# 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; version 2 of the License.
#
# This program is distributed in the hope... | 42.155224 | 79 | 0.622362 | #
# Copyright (c) 2014, Oracle and/or its affiliates. All rights reserved.
#
# 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; version 2 of the License.
#
# This program is distributed in the hope... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
842d3bdeadae512a252ade0258af90d708c395d0 | 3,620 | py | Python | src/models/DGV7/model_v7.py | ChihabEddine98/DeepGo | d072841e387b1fc8c5244ce4f4f547f81da4b46a | [
"MIT"
] | 8 | 2022-02-02T10:04:16.000Z | 2022-03-17T10:41:14.000Z | src/models/DGV7/model_v7.py | ChihabEddine98/DeepGo | d072841e387b1fc8c5244ce4f4f547f81da4b46a | [
"MIT"
] | null | null | null | src/models/DGV7/model_v7.py | ChihabEddine98/DeepGo | d072841e387b1fc8c5244ce4f4f547f81da4b46a | [
"MIT"
] | null | null | null | # imports
import tensorflow.nn as nn
from utils import DotDict
# end imports
# continue from 450 epochs to 2500
# Train : python train.py -gpu 2 -s 1 -e 1200 -b 1024
config = DotDict({ 'n_filters' : 192,
'kernel' : 5,
'n_res_blocks' : 8,
'l2_reg'... | 40.222222 | 116 | 0.602486 | # imports
import os
import collections
import tensorflow.nn as nn
from tensorflow.keras import Input,Model
from tensorflow.keras.utils import plot_model
from tensorflow.keras import layers, regularizers,activations
from utils import DotDict,configs
from models.DGV0.model_v0 import DGM
# end imports
# continue from 450... | 0 | 0 | 0 | 2,602 | 0 | 0 | 0 | 91 | 154 |
15477092edcefdc0543295a2deeb280d142ac9ad | 29 | py | Python | simple_api/adapters/graphql/constants.py | karlosss/simple_api | 03f87035c648f161d5e7a59b24f4e04bd34399f1 | [
"MIT"
] | 2 | 2020-11-13T14:00:06.000Z | 2020-12-19T11:50:22.000Z | simple_api/adapters/graphql/constants.py | ladal1/simple_api | 1b5d560476bccad9f68a7331d092dbdb68c48bf7 | [
"MIT"
] | 5 | 2021-02-04T14:27:43.000Z | 2021-06-04T23:22:24.000Z | simple_api/adapters/graphql/constants.py | ladal1/simple_api | 1b5d560476bccad9f68a7331d092dbdb68c48bf7 | [
"MIT"
] | 1 | 2021-01-06T13:54:38.000Z | 2021-01-06T13:54:38.000Z | INPUT_CLASS_SUFFIX = "Input"
| 14.5 | 28 | 0.793103 | INPUT_CLASS_SUFFIX = "Input"
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ad8aafe0dbc6114276eec4b5d348966d83fb6f64 | 58,401 | py | Python | code/code_for_PDBbind2013.py | LiuXiangMath/Hypergraph-based-Persistent-Cohomology | 560a3b8deef08215982cbb16ad12f16a5e1f02a5 | [
"Apache-2.0"
] | 3 | 2020-12-17T13:41:02.000Z | 2020-12-17T15:04:44.000Z | code/code_for_PDBbind2013.py | LiuXiangMath/Hypergraph-based-Persistent-Cohomology | 560a3b8deef08215982cbb16ad12f16a5e1f02a5 | [
"Apache-2.0"
] | null | null | null | code/code_for_PDBbind2013.py | LiuXiangMath/Hypergraph-based-Persistent-Cohomology | 560a3b8deef08215982cbb16ad12f16a5e1f02a5 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
import math
Protein_Atom = ['C','N','O','S']
Ligand_Atom = ['C','N','O','S','P','F','Cl','Br','I']
aa_list = ['ALA','ARG','ASN','ASP','CYS','GLU','GLN','GLY','HIS','HSE','HSD','SEC',
'ILE','LEU','LYS','MET','PHE','PRO','SER','THR','TRP','TYR','VAL','PYL']
pre = ... | 43.582836 | 240 | 0.494358 | # -*- coding: utf-8 -*-
import numpy as np
import math
from sklearn.ensemble import GradientBoostingRegressor
from sklearn.metrics import mean_squared_error
import scipy as sp
Protein_Atom = ['C','N','O','S']
Ligand_Atom = ['C','N','O','S','P','F','Cl','Br','I']
aa_list = ['ALA','ARG','ASN','ASP','CYS','GLU','GLN','... | 0 | 0 | 0 | 0 | 0 | 4,084 | 0 | 55 | 310 |
93fc1dd768f522c9754a5a586362b138f63bb493 | 159 | py | Python | tm/__init__.py | ibejohn818/tm | 6582fd68d30317737fbd1936057224a2288bc929 | [
"MIT"
] | null | null | null | tm/__init__.py | ibejohn818/tm | 6582fd68d30317737fbd1936057224a2288bc929 | [
"MIT"
] | 1 | 2021-03-25T21:45:10.000Z | 2021-03-25T21:45:10.000Z | tm/__init__.py | ibejohn818/tm | 6582fd68d30317737fbd1936057224a2288bc929 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Top-level package for Tmux Session Helper."""
__author__ = """John Hardy"""
__email__ = 'john.hardy@me.com'
__version__ = '0.1.0'
| 19.875 | 48 | 0.63522 | # -*- coding: utf-8 -*-
"""Top-level package for Tmux Session Helper."""
__author__ = """John Hardy"""
__email__ = 'john.hardy@me.com'
__version__ = '0.1.0'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4c2f7f010bb36a1b149b6ed4a2993bec6ebd5275 | 454 | py | Python | traffic/urls.py | zyayoung/lab-item-tracking | 6d0ee000114300d6693ec078f974b9a6ef4dfe40 | [
"MIT"
] | 4 | 2019-01-14T15:44:22.000Z | 2019-01-16T16:07:19.000Z | traffic/urls.py | zyayoung/lab-item-tracking | 6d0ee000114300d6693ec078f974b9a6ef4dfe40 | [
"MIT"
] | 2 | 2019-02-01T00:50:20.000Z | 2019-02-22T15:15:54.000Z | traffic/urls.py | zyayoung/lab-item-tracking | 6d0ee000114300d6693ec078f974b9a6ef4dfe40 | [
"MIT"
] | null | null | null | from django.conf.urls import url
from traffic import views
app_name = 'traffic'
urlpatterns = [
# url(r'^$', views.index),
# url(r'^index/', views.index),
url(r'^traffic/pages/$', views.page_view, name='performance'),
url(r'^traffic/calender/$', views.calender_view, name='calender'),
url(r'^traff... | 30.266667 | 79 | 0.674009 | from django.conf.urls import url
from traffic import views
app_name = 'traffic'
urlpatterns = [
# url(r'^$', views.index),
# url(r'^index/', views.index),
url(r'^traffic/pages/$', views.page_view, name='performance'),
url(r'^traffic/calender/$', views.calender_view, name='calender'),
url(r'^traff... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
505aa41c67cd2ed4b63a6e36f75de2f82d28a41f | 1,337 | py | Python | accounts/urls.py | Alwin1847207/Hackathon | 473adea12822cbe2be9a7525ac29391659f0ab6b | [
"bzip2-1.0.6"
] | null | null | null | accounts/urls.py | Alwin1847207/Hackathon | 473adea12822cbe2be9a7525ac29391659f0ab6b | [
"bzip2-1.0.6"
] | null | null | null | accounts/urls.py | Alwin1847207/Hackathon | 473adea12822cbe2be9a7525ac29391659f0ab6b | [
"bzip2-1.0.6"
] | null | null | null | from django.urls import path, include
from accounts import views
urlpatterns = [
path('', views.indx, name='accounts'),
<<<<<<< HEAD
path('/signup', views.signup, name='signup'),
path('logout', views.logout, name='logout'),
path('/login', views.loginn, name='login'),
path('/usertpe/<int:pk>/', vie... | 46.103448 | 80 | 0.670157 | from django.urls import path, include
from accounts import views
urlpatterns = [
path('', views.indx, name='accounts'),
<<<<<<< HEAD
path('/signup', views.signup, name='signup'),
path('logout', views.logout, name='logout'),
path('/login', views.loginn, name='login'),
path('/usertpe/<int:pk>/', vie... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3ab8da9645179c73a62da6edd4b18e895e3c8ecc | 61 | py | Python | applications/silverlance/__init__.py | triflesoft/django-application-silverlance | 5bfa0d1d5dfb29eb784e43f36797ed8063d9e125 | [
"BSD-3-Clause"
] | null | null | null | applications/silverlance/__init__.py | triflesoft/django-application-silverlance | 5bfa0d1d5dfb29eb784e43f36797ed8063d9e125 | [
"BSD-3-Clause"
] | null | null | null | applications/silverlance/__init__.py | triflesoft/django-application-silverlance | 5bfa0d1d5dfb29eb784e43f36797ed8063d9e125 | [
"BSD-3-Clause"
] | null | null | null | default_app_config = 'silverlance.apps.SilverlanceAppConfig'
| 30.5 | 60 | 0.868852 | default_app_config = 'silverlance.apps.SilverlanceAppConfig'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b704428032a68287a446ffa22b449eed0c4d3477 | 7,778 | py | Python | scratch_wiki.py | tjvr/scratch-wiki-client | 04d935781ea2961470b37029b8c4d5e20158954e | [
"MIT"
] | 1 | 2016-03-17T18:25:26.000Z | 2016-03-17T18:25:26.000Z | scratch_wiki.py | tjvr/scratch-wiki-client | 04d935781ea2961470b37029b8c4d5e20158954e | [
"MIT"
] | 1 | 2018-07-14T18:52:29.000Z | 2018-07-14T18:52:29.000Z | scratch_wiki.py | tjvr/scratch-wiki-client | 04d935781ea2961470b37029b8c4d5e20158954e | [
"MIT"
] | null | null | null | """
A really simple MediaWiki API client for the Scratch Wiki.
Can:
* read pages
* edit pages
* list pages in category
* list page backlinks ("what links here")
* list page transclusions
Requires the `requests` library.
http://wiki.scratch.mit.edu/
Example Usage
=============
Get a page::
wiki = S... | 25.669967 | 92 | 0.525714 | """
A really simple MediaWiki API client for the Scratch Wiki.
Can:
* read pages
* edit pages
* list pages in category
* list page backlinks ("what links here")
* list page transclusions
Requires the `requests` library.
http://wiki.scratch.mit.edu/
Example Usage
=============
Get a page::
wiki = S... | 0 | 96 | 0 | 6,330 | 0 | 0 | 0 | -9 | 160 |
5e74d36026bb02646328df8a81b51f1a25db5f72 | 6,955 | py | Python | plugins/modules/panos_commit_panorama.py | Nothing4You/pan-os-ansible | 50078a71eef0c5e9a4263020135df6a0e05961bf | [
"Apache-2.0"
] | null | null | null | plugins/modules/panos_commit_panorama.py | Nothing4You/pan-os-ansible | 50078a71eef0c5e9a4263020135df6a0e05961bf | [
"Apache-2.0"
] | null | null | null | plugins/modules/panos_commit_panorama.py | Nothing4You/pan-os-ansible | 50078a71eef0c5e9a4263020135df6a0e05961bf | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright 2020 Palo Alto Networks, Inc
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | 31.613636 | 96 | 0.661251 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright 2020 Palo Alto Networks, Inc
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | 0 | 0 | 0 | 0 | 0 | 2,683 | 0 | 126 | 94 |
a860cef0e934467f7c1597b0b8fe5e6449065aef | 3,682 | py | Python | algorithm/kmax.py | wangyongjie-ntu/GUM | 09691059d3f0bbe9788ed08aa1fe68c88966a968 | [
"MIT"
] | null | null | null | algorithm/kmax.py | wangyongjie-ntu/GUM | 09691059d3f0bbe9788ed08aa1fe68c88966a968 | [
"MIT"
] | null | null | null | algorithm/kmax.py | wangyongjie-ntu/GUM | 09691059d3f0bbe9788ed08aa1fe68c88966a968 | [
"MIT"
] | 1 | 2021-09-06T06:18:02.000Z | 2021-09-06T06:18:02.000Z | import numpy as np
import random
import time
import copy
def kmax(data, init_centriod, L = 2, K = 3, max_iterations = 50):
'''
data: a collection of records
init_centriod: the inital centriod
L: top K attributes
K: cluster numbers
max_iterations: the max iteration before stop
'''
star... | 34.411215 | 111 | 0.599131 | import numpy as np
import random
import time
import copy
def kmax(data, init_centriod, L = 2, K = 3, max_iterations = 50):
'''
data: a collection of records
init_centriod: the inital centriod
L: top K attributes
K: cluster numbers
max_iterations: the max iteration before stop
'''
star... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e025f5a766dade21ee38467fd1d7c3fb826fc616 | 16,581 | py | Python | RQ1_RQ2/Vehicle_case_study/Pymoo_GA/road_gen.py | dgumenyuk/Environment_generation | 092fbecdc208f84aa58f2ccd3522262984e79cda | [
"MIT"
] | null | null | null | RQ1_RQ2/Vehicle_case_study/Pymoo_GA/road_gen.py | dgumenyuk/Environment_generation | 092fbecdc208f84aa58f2ccd3522262984e79cda | [
"MIT"
] | null | null | null | RQ1_RQ2/Vehicle_case_study/Pymoo_GA/road_gen.py | dgumenyuk/Environment_generation | 092fbecdc208f84aa58f2ccd3522262984e79cda | [
"MIT"
] | null | null | null | '''
Module to generate the TC with the given probability to "go straight", "turn left" or "turn right"
'''
if __name__ == "__main__":
# steps = [5, 6, 7]
i = 0
road = RoadGen(250, 5, 50, 10, 70)
while i < 100: # generate N number of schedules
print("generating test case" + str(i))
... | 38.470998 | 98 | 0.37742 | '''
Module to generate the TC with the given probability to "go straight", "turn left" or "turn right"
'''
import numpy as np
from car_road import Map
import os
import config as cf
import json
class RoadGen:
"""Class for generating roads"""
def __init__(
self,
map_size,
min_len, #... | 0 | 0 | 0 | 16,072 | 0 | 0 | 0 | -24 | 136 |
4b32f82ea884446c3a0243b93ffc476b9356d61c | 3,175 | py | Python | barry/datasets/dummy.py | AaronGlanville/Barry | f181448b2ed10a8c08195e7e34819ceb8abfe532 | [
"MIT"
] | null | null | null | barry/datasets/dummy.py | AaronGlanville/Barry | f181448b2ed10a8c08195e7e34819ceb8abfe532 | [
"MIT"
] | null | null | null | barry/datasets/dummy.py | AaronGlanville/Barry | f181448b2ed10a8c08195e7e34819ceb8abfe532 | [
"MIT"
] | null | null | null | import logging
import numpy as np
if __name__ == "__main__":
logging.basicConfig(level=logging.DEBUG, format="[%(levelname)7s |%(funcName)18s] %(message)s")
dataset = DummyPowerSpectrum_SDSS_DR12_Z061_NGC()
data = dataset.get_data()
import matplotlib.pyplot as plt
import seaborn as sb
im... | 36.918605 | 125 | 0.668031 | import logging
from scipy.interpolate import splev, splrep
import numpy as np
from barry.cosmology import pk2xi
from barry.cosmology.camb_generator import getCambGenerator
from barry.datasets import PowerSpectrum_SDSS_DR12_Z061_NGC, CorrelationFunction_SDSS_DR12_Z061_NGC
class DummyPowerSpectrum_SDSS_DR12_Z061_NGC(P... | 0 | 0 | 0 | 2,374 | 0 | 0 | 0 | 150 | 135 |
f847e50b19a49843e449cfa5833f7f5953c0356a | 1,529 | py | Python | website_monitor/utils/scheduler.py | KappaLambda/website-monitor | 2823e36d8089723fb3cca4ba9284f4754dd3d2cf | [
"MIT"
] | null | null | null | website_monitor/utils/scheduler.py | KappaLambda/website-monitor | 2823e36d8089723fb3cca4ba9284f4754dd3d2cf | [
"MIT"
] | null | null | null | website_monitor/utils/scheduler.py | KappaLambda/website-monitor | 2823e36d8089723fb3cca4ba9284f4754dd3d2cf | [
"MIT"
] | null | null | null | import logging
logger = logging.getLogger(__name__)
| 31.854167 | 77 | 0.679529 | import logging
from datetime import datetime
import django_rq
from api.models import CheckTaskJob
from utils.check_url import check_url
logger = logging.getLogger(__name__)
def schedule(check_task):
scheduler = django_rq.get_scheduler('default', interval=10)
try:
job = scheduler.schedule(
... | 0 | 0 | 0 | 0 | 0 | 1,305 | 0 | 33 | 136 |
6a5979e35ae35b16b232f164213c0ce01d7bdc57 | 1,727 | py | Python | MuonGun/resources/scripts/fitting/fit_rdist.py | hschwane/offline_production | e14a6493782f613b8bbe64217559765d5213dc1e | [
"MIT"
] | 1 | 2020-12-24T22:00:01.000Z | 2020-12-24T22:00:01.000Z | MuonGun/resources/scripts/fitting/fit_rdist.py | hschwane/offline_production | e14a6493782f613b8bbe64217559765d5213dc1e | [
"MIT"
] | null | null | null | MuonGun/resources/scripts/fitting/fit_rdist.py | hschwane/offline_production | e14a6493782f613b8bbe64217559765d5213dc1e | [
"MIT"
] | 3 | 2020-07-17T09:20:29.000Z | 2021-03-30T16:44:18.000Z | #!/usr/bin/env python
from optparse import OptionParser
parser = OptionParser(usage="%prog infile outfile")
opts, args = parser.parse_args()
try:
infile, outfile = args
except ValueError:
infile = "/data/uwa/jvansanten/projects/2012/muongun/corsika/SIBYLL/Hoerandel5/atmod_12.hdf5"
outfile = "Hoerandel5_atmod12_SIB... | 37.543478 | 133 | 0.738854 | #!/usr/bin/env python
from optparse import OptionParser
parser = OptionParser(usage="%prog infile outfile")
opts, args = parser.parse_args()
try:
infile, outfile = args
except ValueError:
infile = "/data/uwa/jvansanten/projects/2012/muongun/corsika/SIBYLL/Hoerandel5/atmod_12.hdf5"
outfile = "Hoerandel5_atmod12_SIB... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 |
282ba9d7a05ae894ba9605dbaa2a601f0198fc9b | 3,431 | py | Python | executiveorder/processors/wikisource.py | chrisengelsma/executive_orders | 5f0c7102b9abce3d44b54e5dd4c57bd0bb404037 | [
"MIT"
] | 2 | 2017-03-23T02:26:05.000Z | 2017-08-24T02:07:17.000Z | executiveorder/processors/wikisource.py | chrisengelsma/executive_orders | 5f0c7102b9abce3d44b54e5dd4c57bd0bb404037 | [
"MIT"
] | null | null | null | executiveorder/processors/wikisource.py | chrisengelsma/executive_orders | 5f0c7102b9abce3d44b54e5dd4c57bd0bb404037 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from executiveorder.executiveorder import ExecutiveOrder
base_url = "https://en.wikisource.org"
url = "/wiki/Category:United_States_executive_orders"
eos = []
def get_all_pages(url):
'''
Gets all the pages in the base site.
'''
soup = get_soup(base_url+url)
l... | 23.340136 | 75 | 0.645001 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from executiveorder.util import *
from executiveorder.executiveorder import ExecutiveOrder
base_url = "https://en.wikisource.org"
url = "/wiki/Category:United_States_executive_orders"
eos = []
def run():
pages = get_all_pages(url)
for page in pages:
print page,'..... | 0 | 0 | 0 | 0 | 0 | 130 | 0 | 12 | 45 |
d7133c4a92f3ff0cce7398bb4696d9c8aa2a540b | 815 | py | Python | tests/issues/test_issue_459.py | XiangyiZhao/heterocl | fe69d532e7f64ee8b76419f4ff05b0cc27c77e8a | [
"Apache-2.0"
] | null | null | null | tests/issues/test_issue_459.py | XiangyiZhao/heterocl | fe69d532e7f64ee8b76419f4ff05b0cc27c77e8a | [
"Apache-2.0"
] | 1 | 2020-06-01T01:41:29.000Z | 2020-06-01T01:41:29.000Z | tests/issues/test_issue_459.py | XiangyiZhao/heterocl | fe69d532e7f64ee8b76419f4ff05b0cc27c77e8a | [
"Apache-2.0"
] | null | null | null |
if __name__ == "__main__":
test() | 23.285714 | 54 | 0.509202 | import heterocl as hcl
def reduce(b, w, q):
bw = hcl.get_bitwidth(q.dtype)
bwh = bw // 2
mask = (1 << bwh) - 1
b = hcl.scalar(b, "b", dtype=hcl.UInt(bw))
w = hcl.scalar(w, "w", dtype=hcl.UInt(bw))
q = hcl.scalar(q, "q", dtype=hcl.UInt(bw))
a = w * b
for i in range(2):
t = (-a... | 0 | 0 | 0 | 0 | 0 | 707 | 0 | 1 | 68 |
b56dae7549336a201f155c6bf722542d1df8bb93 | 1,383 | py | Python | Python/Problem#7.py | Wolfy7/DailyCodingProblem | dcca0da51bf42413c2eeff122dbb653e73ab5d83 | [
"MIT"
] | null | null | null | Python/Problem#7.py | Wolfy7/DailyCodingProblem | dcca0da51bf42413c2eeff122dbb653e73ab5d83 | [
"MIT"
] | null | null | null | Python/Problem#7.py | Wolfy7/DailyCodingProblem | dcca0da51bf42413c2eeff122dbb653e73ab5d83 | [
"MIT"
] | null | null | null | """
Given the mapping a = 1, b = 2, ... z = 26, and an encoded message, count the number of ways it can be decoded.
For example, the message '111' would give 3, since it could be decoded as 'aaa', 'ka', and 'ak'.
You can assume that the messages are decodable. For example, '001' is not allowed.
"""
import ti... | 22.672131 | 112 | 0.616775 | """
Given the mapping a = 1, b = 2, ... z = 26, and an encoded message, count the number of ways it can be decoded.
For example, the message '111' would give 3, since it could be decoded as 'aaa', 'ka', and 'ak'.
You can assume that the messages are decodable. For example, '001' is not allowed.
"""
import ti... | 0 | 0 | 0 | 0 | 0 | 664 | 0 | 0 | 100 |
4584fc5ed9194906f974bdb397f201c7c7eb28f6 | 433 | py | Python | hanchi/sandbox2.py | simazhi/ideophones | c986ee60bb1d61b27cbda8a9054a40d77ee50c41 | [
"MIT"
] | 1 | 2018-04-10T06:55:38.000Z | 2018-04-10T06:55:38.000Z | hanchi/sandbox2.py | simazhi/ideophones | c986ee60bb1d61b27cbda8a9054a40d77ee50c41 | [
"MIT"
] | null | null | null | hanchi/sandbox2.py | simazhi/ideophones | c986ee60bb1d61b27cbda8a9054a40d77ee50c41 | [
"MIT"
] | null | null | null | from selenium import webdriver
import os
import time
#"./chromedriver"
PROJECT_ROOT = os.path.abspath(os.path.dirname(__file__))
DRIVER_BIN = os.path.join(PROJECT_ROOT, "chromedriver.exe")
browser = webdriver.Chrome(executable_path = DRIVER_BIN)
browser.get("https://en.wiktionary.org/wiki/Wiktionary:Main_Page")
ti... | 22.789474 | 66 | 0.787529 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import os
import time
#"./chromedriver"
PROJECT_ROOT = os.path.abspath(os.path.dirname(__file__))
DRIVER_BIN = os.path.join(PROJECT_ROOT, "chromedriver.exe")
browser = webdriver.Chrome(executable_path = DRIVER_BIN)
browser.get("https://... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 22 |
cae2f694a8963adda63826c93c9f8f02e7f333ab | 15,040 | py | Python | koku/koku/configurator.py | Vasyka/koku | b5aa9ec41c3b0821e74afe9ff3a5ffaedb910614 | [
"Apache-2.0"
] | 2 | 2022-01-12T03:42:39.000Z | 2022-01-12T03:42:40.000Z | koku/koku/configurator.py | Vasyka/koku | b5aa9ec41c3b0821e74afe9ff3a5ffaedb910614 | [
"Apache-2.0"
] | null | null | null | koku/koku/configurator.py | Vasyka/koku | b5aa9ec41c3b0821e74afe9ff3a5ffaedb910614 | [
"Apache-2.0"
] | 1 | 2021-07-21T09:33:59.000Z | 2021-07-21T09:33:59.000Z | #
# Copyright 2021 Red Hat Inc.
# SPDX-License-Identifier: Apache-2.0
#
"""
Handler module for gathering configuration data.
"""
from .env import ENVIRONMENT
CLOWDER_ENABLED = ENVIRONMENT.bool("CLOWDER_ENABLED", default=False)
if CLOWDER_ENABLED:
CONFIGURATOR = ConfigFactory.get_configurator()
| 30.08 | 107 | 0.646277 | #
# Copyright 2021 Red Hat Inc.
# SPDX-License-Identifier: Apache-2.0
#
"""
Handler module for gathering configuration data.
"""
from .env import ENVIRONMENT
CLOWDER_ENABLED = ENVIRONMENT.bool("CLOWDER_ENABLED", default=False)
if CLOWDER_ENABLED:
from app_common_python import ObjectBuckets, LoadedConfig, KafkaTop... | 0 | 12,055 | 0 | 2,494 | 0 | 0 | 0 | 70 | 118 |
42a221214e1330a592de45c4a1a76295348a08fe | 737 | py | Python | py2/Problem067.py | DanielGarrett/ProjectEuler | ca23f4dbfb2a47ea663fb0858630d3e2fb3b9764 | [
"MIT"
] | null | null | null | py2/Problem067.py | DanielGarrett/ProjectEuler | ca23f4dbfb2a47ea663fb0858630d3e2fb3b9764 | [
"MIT"
] | null | null | null | py2/Problem067.py | DanielGarrett/ProjectEuler | ca23f4dbfb2a47ea663fb0858630d3e2fb3b9764 | [
"MIT"
] | null | null | null | import EulerRunner
numFile = open('../data/Problem067_numbers.txt', 'r')
nums = [[int(num) for num in line.split(' ')] for line in numFile.readlines()]
print len(nums)
print len(nums[-1])
EulerRunner.solve_problem(problem67_dp)
| 26.321429 | 78 | 0.572592 | import EulerRunner
numFile = open('../data/Problem067_numbers.txt', 'r')
nums = [[int(num) for num in line.split(' ')] for line in numFile.readlines()]
print len(nums)
print len(nums[-1])
def problem67_dp():
totals = []
for x in range(len(nums)):
totals.append([])
for y in range(len(nums[x])):... | 0 | 0 | 0 | 0 | 0 | 484 | 0 | 0 | 23 |
698146b46b7075c1458a16bc4122497ee5798c02 | 8,352 | py | Python | tfsnippet/scaffold/model.py | haowen-xu/tfsnippet-pre-alpha | 31eb2cf692ac25b95cc815aaca53754d6db42d9f | [
"MIT"
] | null | null | null | tfsnippet/scaffold/model.py | haowen-xu/tfsnippet-pre-alpha | 31eb2cf692ac25b95cc815aaca53754d6db42d9f | [
"MIT"
] | null | null | null | tfsnippet/scaffold/model.py | haowen-xu/tfsnippet-pre-alpha | 31eb2cf692ac25b95cc815aaca53754d6db42d9f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
__all__ = ['Model']
| 34.945607 | 80 | 0.59818 | # -*- coding: utf-8 -*-
import os
import shutil
import numpy as np
import six
import tensorflow as tf
from tfsnippet.utils import (ensure_variables_initialized,
VarScopeObject,
get_variables_as_dict,
reopen_variable_scope,
... | 0 | 426 | 0 | 7,471 | 0 | 0 | 0 | 252 | 157 |
9078e5c3f0833a45386708e9e11f8a773ced1cbe | 620 | py | Python | src/make_data_set/src/test.py | diddytpq/Predict-Tennisball-LandingPoint | 0ae4a9ff45fd4dd82b4b4e3cc2533e7fd5d1506a | [
"MIT"
] | null | null | null | src/make_data_set/src/test.py | diddytpq/Predict-Tennisball-LandingPoint | 0ae4a9ff45fd4dd82b4b4e3cc2533e7fd5d1506a | [
"MIT"
] | null | null | null | src/make_data_set/src/test.py | diddytpq/Predict-Tennisball-LandingPoint | 0ae4a9ff45fd4dd82b4b4e3cc2533e7fd5d1506a | [
"MIT"
] | null | null | null | import rospy
import roslib
import time
roslib.load_manifest('mecanum_robot_gazebo')
if __name__ == '__main__' :
rospy.init_node('pingpong')
mecanum_0 = Make_mecanum_left('mecanum_0')
#mecanum_0.torque = [0, -2000000, 0]
#mecanum_0.torque = [0, 0, 2000000]
#mecanum_0.torque = [0, 0, 0]
... | 16.756757 | 46 | 0.645161 | import rospy
import sys, select, os
import roslib
import time
from tool.test_utils import *
roslib.load_manifest('mecanum_robot_gazebo')
if __name__ == '__main__' :
rospy.init_node('pingpong')
mecanum_0 = Make_mecanum_left('mecanum_0')
#mecanum_0.torque = [0, -2000000, 0]
#mecanum_0.torque = ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 45 |
5863984ebe31a84c0b664f96e59e0fcfea843fa5 | 1,323 | py | Python | get_lyrics.py | ShaylanDias/MusicalMessage | 16d3b7bdde4fdfe19e82d21f3aa63a7c2ae4a9a5 | [
"MIT"
] | null | null | null | get_lyrics.py | ShaylanDias/MusicalMessage | 16d3b7bdde4fdfe19e82d21f3aa63a7c2ae4a9a5 | [
"MIT"
] | null | null | null | get_lyrics.py | ShaylanDias/MusicalMessage | 16d3b7bdde4fdfe19e82d21f3aa63a7c2ae4a9a5 | [
"MIT"
] | null | null | null | import azapi
api = azapi.AZlyrics()
def get_lyrics(artist, title, dir='./', save=False):
"""artist=name of artist, title=name of song, dir=directory to save (if saving), save=save the lyrics in a text file (boolean input)"""
attempts = 0
val = None
title_lower = title.lower()
if ' feat' in title_l... | 41.34375 | 139 | 0.598639 | import azapi
api = azapi.AZlyrics()
def get_lyrics(artist, title, dir='./', save=False):
"""artist=name of artist, title=name of song, dir=directory to save (if saving), save=save the lyrics in a text file (boolean input)"""
attempts = 0
val = None
title_lower = title.lower()
if ' feat' in title_l... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7b894340af50b8faa94449a69811b8e548990c61 | 225 | py | Python | Twper/__init__.py | fergusch/Twper | 01a536453a2b38400e1006063e3bd65b7c224f4a | [
"MIT"
] | 8 | 2018-12-17T20:12:53.000Z | 2022-01-06T19:52:59.000Z | Twper/__init__.py | fergusch/Twper | 01a536453a2b38400e1006063e3bd65b7c224f4a | [
"MIT"
] | 3 | 2019-12-04T04:14:16.000Z | 2021-05-05T10:43:00.000Z | Twper/__init__.py | fergusch/Twper | 01a536453a2b38400e1006063e3bd65b7c224f4a | [
"MIT"
] | 3 | 2019-01-15T15:34:27.000Z | 2020-02-29T18:23:21.000Z | # Twper - Async Twitter Scraper
# Copyright Sacha Jungerman
# See LICENSE for details.
__version__ = '0.1.1'
__author__ = 'Sacha Jungerman'
__license__ = 'MIT'
| 20.454545 | 61 | 0.755556 | # Twper - Async Twitter Scraper
# Copyright Sacha Jungerman
# See LICENSE for details.
__version__ = '0.1.1'
__author__ = 'Sacha Jungerman'
__license__ = 'MIT'
from Twper.Twper import Tweet, TwitterAccount, Query, Queries
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 23 |
a8f19d9c8f7c0b2ba72c4f98f2d753de57803390 | 771 | py | Python | fcm.py | stevexiaofei/Worm_seg_net | 99114bb3f221baa4df4c93d6e282ae288aa63cfc | [
"MIT"
] | null | null | null | fcm.py | stevexiaofei/Worm_seg_net | 99114bb3f221baa4df4c93d6e282ae288aa63cfc | [
"MIT"
] | null | null | null | fcm.py | stevexiaofei/Worm_seg_net | 99114bb3f221baa4df4c93d6e282ae288aa63cfc | [
"MIT"
] | null | null | null | import numpy as np
import PIL.Image as image
from skfuzzy.cluster import cmeans
imgData,row,col = loadData('11.jpg')
imgData = imgData.T
center, u, u0, d, jm, p, fpc = cmeans(imgData, m=2, c=2, error=0.0001, maxiter=1000)
for i in u:
label = np.argmax(u, axis=0)
label = label.reshape([row,col])
pic_new = image.new("L... | 29.653846 | 84 | 0.645914 | import numpy as np
import PIL.Image as image
from sklearn.cluster import KMeans
from skfuzzy.cluster import cmeans
def loadData(filePath):
f = open(filePath,'rb')
data = []
img = image.open(f)
m,n = img.size
for i in range(m):
for j in range(n):
x,y,z = img.getpixel((i,j))
data.append([x/256.0,... | 0 | 0 | 0 | 0 | 0 | 241 | 0 | 13 | 44 |
04b2959d17659eb1b0417a4fd0929232a6e8350a | 3,042 | py | Python | conary/build/buildinfo.py | sassoftware/conary | d418968acd5e11ee17ed6d91ca395ea10a040222 | [
"Apache-2.0"
] | 43 | 2015-03-31T01:37:10.000Z | 2021-11-14T16:26:48.000Z | conary/build/buildinfo.py | sassoftware/conary | d418968acd5e11ee17ed6d91ca395ea10a040222 | [
"Apache-2.0"
] | 9 | 2015-06-10T16:39:41.000Z | 2020-01-27T16:35:01.000Z | conary/build/buildinfo.py | sassoftware/conary | d418968acd5e11ee17ed6d91ca395ea10a040222 | [
"Apache-2.0"
] | 9 | 2015-04-07T08:12:37.000Z | 2020-01-26T09:54:18.000Z | #
# Copyright (c) SAS Institute Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | 31.360825 | 76 | 0.530901 | #
# Copyright (c) SAS Institute Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | 0 | 0 | 0 | 2,286 | 0 | 0 | 0 | -10 | 46 |
c4ce33a8f78d5a5a31f73757124a1f2cb356730e | 505 | py | Python | 一、工程基础/软件工程/算法与数据结构/力扣题目/leetcode_027.py | ethan-sui/AI-algorithm-engineer-knowledge | 24795b23a4cbeb6e6839e0cae65f7745be666da6 | [
"Apache-2.0"
] | 209 | 2020-10-06T08:34:45.000Z | 2022-03-08T08:35:15.000Z | 一、工程基础/软件工程/算法与数据结构/力扣题目/leetcode_027.py | ethan-sui/AI-algorithm-engineer-knowledge | 24795b23a4cbeb6e6839e0cae65f7745be666da6 | [
"Apache-2.0"
] | null | null | null | 一、工程基础/软件工程/算法与数据结构/力扣题目/leetcode_027.py | ethan-sui/AI-algorithm-engineer-knowledge | 24795b23a4cbeb6e6839e0cae65f7745be666da6 | [
"Apache-2.0"
] | 8 | 2020-10-09T09:07:18.000Z | 2021-05-18T10:30:46.000Z | # 27
#
#
# O(n)O(1)
nums = [0, 1, 2, 2, 3, 0, 4, 2]
val = 2
print(removeElement0(nums, val)) | 24.047619 | 45 | 0.550495 | # 27、移除元素
# 一、双指针法，设置快慢指针，当快指针指向元素等于删除元素时，快指针快走一步，
# 慢指针不走；否则，快慢指针同时走一步，并把快指针的元素值赋给慢指针，这样
# 慢指针走过的元素就是删除掉指定元素的数组，时间复杂度O(n)，空间复杂度O(1)
def removeElement0(nums, val):
if len(nums) == 0:
return 0
left = 0
right = 0
while right < len(nums):
if nums[right] != val:
nums[left] ... | 333 | 0 | 0 | 0 | 0 | 271 | 0 | 0 | 22 |
b72c1e7ed93592b637ce1f8cbcd881bc56c9db22 | 2,772 | py | Python | migration/src/plots/plots/eta_tau_sfh.py | rcooke-ast/VICE | 762911eb4192c7206ce2ae36b645d120ed889cb7 | [
"MIT"
] | 22 | 2018-09-26T21:02:51.000Z | 2022-03-24T18:07:03.000Z | migration/src/plots/plots/eta_tau_sfh.py | rcooke-ast/VICE | 762911eb4192c7206ce2ae36b645d120ed889cb7 | [
"MIT"
] | 2 | 2019-05-03T13:08:27.000Z | 2021-02-17T20:11:37.000Z | migration/src/plots/plots/eta_tau_sfh.py | rcooke-ast/VICE | 762911eb4192c7206ce2ae36b645d120ed889cb7 | [
"MIT"
] | 3 | 2019-05-10T19:26:31.000Z | 2021-11-10T08:13:42.000Z | r"""
This script creates a plot of the mass-loading factor eta and the star
formation e-folding timescale as functions of Galactocentric radius in the
forms adopted by Johnson et al. (2021).
"""
from .. import env
from ...simulations.models.insideout import insideout
from .utils import named_colors
import matplotlib.p... | 29.489362 | 77 | 0.672439 | r"""
This script creates a plot of the mass-loading factor eta and the star
formation e-folding timescale as functions of Galactocentric radius in the
forms adopted by Johnson et al. (2021).
"""
from .. import env
from ...simulations.models.insideout import insideout
from .utils import named_colors
import matplotlib.p... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -5 | 22 |
e00f288d0375b73a08aef40a686f363fd5cc8285 | 3,757 | py | Python | grodddroid/BranchExplorer/branchexp/grodd_cmd.py | demirdagemir/thesis | 4a48bddf815c91729e27484548bb7bbf7ddeda64 | [
"MIT"
] | null | null | null | grodddroid/BranchExplorer/branchexp/grodd_cmd.py | demirdagemir/thesis | 4a48bddf815c91729e27484548bb7bbf7ddeda64 | [
"MIT"
] | null | null | null | grodddroid/BranchExplorer/branchexp/grodd_cmd.py | demirdagemir/thesis | 4a48bddf815c91729e27484548bb7bbf7ddeda64 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
""" BranchExplorer is the high-level tool that tries to explore specific parts
of code rather than maximizing coverage like regular automatic testing. """
import logging
import branchexp.imports
log = logging.getLogger("branchexp")
try:
import coloredlogs
coloredlogs.install(
sh... | 33.247788 | 80 | 0.640405 | #!/usr/bin/env python3
""" BranchExplorer is the high-level tool that tries to explore specific parts
of code rather than maximizing coverage like regular automatic testing. """
import argparse
import logging
import os
import sys
import time
import datetime
import branchexp.imports
import branchexp.config
from branch... | 0 | 0 | 0 | 0 | 0 | 2,884 | 0 | 18 | 246 |
8601e4823b3e141dfce88dfecc7ba7a12da3b018 | 252 | py | Python | frekenbok/settings/test_sqlite.py | frekenbok/frekenbok | 296e6cffba5a58c1c8d61ff6eb4d0aed3f3b4247 | [
"MIT"
] | null | null | null | frekenbok/settings/test_sqlite.py | frekenbok/frekenbok | 296e6cffba5a58c1c8d61ff6eb4d0aed3f3b4247 | [
"MIT"
] | null | null | null | frekenbok/settings/test_sqlite.py | frekenbok/frekenbok | 296e6cffba5a58c1c8d61ff6eb4d0aed3f3b4247 | [
"MIT"
] | null | null | null | import tempfile
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': tempfile.mkstemp(suffix='.sqlite3', prefix='frekenbok_')[1],
}
}
| 21 | 76 | 0.654762 | import tempfile
from frekenbok.settings import *
from frekenbok.settings.dev import *
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': tempfile.mkstemp(suffix='.sqlite3', prefix='frekenbok_')[1],
}
}
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 45 |
e0c70e3b3415e57515bd901ff801d9bbb258a66c | 10,506 | py | Python | pl_bolts/models/autoencoders/components.py | btwardow/pytorch-lightning-bolts | 4a7b6ffe0fcbeee37f8bac6af1e926469b2052bf | [
"Apache-2.0"
] | 1 | 2021-06-28T03:24:11.000Z | 2021-06-28T03:24:11.000Z | pl_bolts/models/autoencoders/components.py | btwardow/pytorch-lightning-bolts | 4a7b6ffe0fcbeee37f8bac6af1e926469b2052bf | [
"Apache-2.0"
] | null | null | null | pl_bolts/models/autoencoders/components.py | btwardow/pytorch-lightning-bolts | 4a7b6ffe0fcbeee37f8bac6af1e926469b2052bf | [
"Apache-2.0"
] | null | null | null | from torch import nn
def conv3x3(in_planes, out_planes, stride=1):
"""3x3 convolution with padding"""
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride, padding=1, bias=False)
def conv1x1(in_planes, out_planes, stride=1):
"""1x1 convolution"""
return nn.Conv2d(in_planes, out_plan... | 30.189655 | 105 | 0.616314 | import torch
import torch.nn.functional as F
from torch import nn
class Interpolate(nn.Module):
"""nn.Module wrapper for F.interpolate"""
def __init__(self, size=None, scale_factor=None):
super().__init__()
self.size, self.scale_factor = size, scale_factor
def forward(self, x):
r... | 0 | 0 | 0 | 8,722 | 0 | 502 | 0 | 1 | 297 |
ea67ca0d9bc4bc63a271bc2aef8c4f13fd22a99c | 3,694 | py | Python | lib/utils.py | Chaffelson/cml_curvefitting | 6173021fd60a02b0a3a31b4c969ae58fb5adaa06 | [
"MIT"
] | 2 | 2021-01-31T05:57:40.000Z | 2021-02-02T17:37:05.000Z | lib/utils.py | Chaffelson/cml_curvefitting | 6173021fd60a02b0a3a31b4c969ae58fb5adaa06 | [
"MIT"
] | null | null | null | lib/utils.py | Chaffelson/cml_curvefitting | 6173021fd60a02b0a3a31b4c969ae58fb5adaa06 | [
"MIT"
] | 1 | 2021-04-29T10:20:55.000Z | 2021-04-29T10:20:55.000Z | # ###########################################################################
#
# CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP)
# (C) Cloudera, Inc. 2020
# All rights reserved.
#
# Applicable Open Source License: Apache 2.0
#
# NOTE: Cloudera open source products are modular software products
# made up of hun... | 33.581818 | 77 | 0.690309 | # ###########################################################################
#
# CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP)
# (C) Cloudera, Inc. 2020
# All rights reserved.
#
# Applicable Open Source License: Apache 2.0
#
# NOTE: Cloudera open source products are modular software products
# made up of hun... | 6 | 0 | 0 | 0 | 0 | 785 | 0 | 11 | 317 |
7ca28bd7ed1737db978d8839238913c0212c4ba4 | 2,340 | py | Python | databuilder/extractor/db_api_extractor.py | sauravsrijan/amundsendatabuilder | 3e78a5dff61b8e214157b5fc4f78cb397e4845b3 | [
"Apache-2.0"
] | null | null | null | databuilder/extractor/db_api_extractor.py | sauravsrijan/amundsendatabuilder | 3e78a5dff61b8e214157b5fc4f78cb397e4845b3 | [
"Apache-2.0"
] | null | null | null | databuilder/extractor/db_api_extractor.py | sauravsrijan/amundsendatabuilder | 3e78a5dff61b8e214157b5fc4f78cb397e4845b3 | [
"Apache-2.0"
] | null | null | null | import logging
LOGGER = logging.getLogger(__name__)
| 27.209302 | 90 | 0.585043 | import importlib
import logging
from typing import Iterable, Any # noqa: F401
from pyhocon import ConfigTree # noqa: F401
from databuilder.extractor.base_extractor import Extractor
LOGGER = logging.getLogger(__name__)
class DBAPIExtractor(Extractor):
"""
Generic DB API extractor.
"""
CONNECTION_... | 0 | 0 | 0 | 2,092 | 0 | 0 | 0 | 52 | 141 |
40b08a1e29765b08e0bd1beaf989e491652080d9 | 5,959 | py | Python | pmap/small_ising_scoring.py | vicariousinc/perturb_and_max_product | 5d781e5ab33ceda621d1f014fdfe8d50e68016c1 | [
"MIT"
] | 3 | 2021-11-09T06:54:01.000Z | 2022-03-14T13:06:32.000Z | pmap/small_ising_scoring.py | vicariousinc/perturb_and_max_product | 5d781e5ab33ceda621d1f014fdfe8d50e68016c1 | [
"MIT"
] | null | null | null | pmap/small_ising_scoring.py | vicariousinc/perturb_and_max_product | 5d781e5ab33ceda621d1f014fdfe8d50e68016c1 | [
"MIT"
] | 2 | 2022-03-12T11:35:10.000Z | 2022-03-19T10:43:22.000Z | # Utils for small Ising models
from jax.config import config
config.update("jax_disable_jit", False)
"""
Note: in our experiments we consider two classes of Ising models:
- models with observations in {0, 1} and energy E1(x) = -0.5 * x.T * W * x - x.T * b,
as this is traditionally the case
- models with observatio... | 32.922652 | 104 | 0.603793 | # Utils for small Ising models
from itertools import product
import numpy as np
from jax import jit
from jax import random
from jax.config import config
from jax.scipy.special import logsumexp
from tqdm import tqdm
config.update("jax_disable_jit", False)
"""
Note: in our experiments we consider two classes of Ising ... | 0 | 395 | 0 | 0 | 0 | 4,431 | 0 | 22 | 317 |
8f557c9c6d3dfd66d747b2dc5dfac26c83084f0a | 693 | py | Python | remcall/schema/base.py | luphord/remcall | 31419ff0f5c21ea2d90f9cabdaec85b6eebcaa12 | [
"MIT"
] | null | null | null | remcall/schema/base.py | luphord/remcall | 31419ff0f5c21ea2d90f9cabdaec85b6eebcaa12 | [
"MIT"
] | null | null | null | remcall/schema/base.py | luphord/remcall | 31419ff0f5c21ea2d90f9cabdaec85b6eebcaa12 | [
"MIT"
] | null | null | null | NAME_CHARS = set('ABCDEFGHIJKLMNOPQRSTUVWXYZ' +
'abcdefghijklmnopqrstuvwxyz0123456789')
NAME_FIRST_CHARS = set('ABCDEFGHIJKLMNOPQRSTUVWXYZ' +
'abcdefghijklmnopqrstuvwxyz')
| 43.3125 | 77 | 0.621934 | NAME_CHARS = set('ABCDEFGHIJKLMNOPQRSTUVWXYZ' +
'abcdefghijklmnopqrstuvwxyz0123456789')
NAME_FIRST_CHARS = set('ABCDEFGHIJKLMNOPQRSTUVWXYZ' +
'abcdefghijklmnopqrstuvwxyz')
def assert_name(name: str):
assert len(name) > 0, ('A name has to contain at least one character, ' +
... | 0 | 0 | 0 | 0 | 0 | 457 | 0 | 0 | 23 |
a8a5bca9249bed381200aa37264b3bcd0d65434a | 1,677 | py | Python | src/setup.py | antonsmislevics/safe-env | 8727bda0b3a0010f0653dbfe824910ac69e27007 | [
"MIT"
] | null | null | null | src/setup.py | antonsmislevics/safe-env | 8727bda0b3a0010f0653dbfe824910ac69e27007 | [
"MIT"
] | null | null | null | src/setup.py | antonsmislevics/safe-env | 8727bda0b3a0010f0653dbfe824910ac69e27007 | [
"MIT"
] | null | null | null | import setuptools
import re
long_description = ""
# with open("README.md", "r") as fh:
# long_description = fh.read()
version = re.search(
r"^__version__\s*?=\s*?'(.*)'",
open('safe_env/version.py').read(),
re.M
).group(1)
requires_base = load_requirements_from_file("requirements-base.txt")
requi... | 30.490909 | 79 | 0.645796 | import setuptools
import re
def load_requirements_from_file(file_name):
# get the dependencies and installs
requires = []
with open(file_name, "r", encoding="utf-8") as f:
# Make sure we strip all comments and options (e.g "--extra-index-url")
for line in f:
req = line.split("#"... | 0 | 0 | 0 | 0 | 0 | 391 | 0 | 0 | 23 |
265de00e591a9bd468fdb61184d5fc5df5b88691 | 4,049 | py | Python | tests/unit_tests/test_responsebot.py | openjusticebaltimore/ResponseBot | e224fe5251190f2f4a8901afbd622c411601e86e | [
"Apache-2.0"
] | 16 | 2016-05-11T00:04:18.000Z | 2020-07-21T20:32:11.000Z | tests/unit_tests/test_responsebot.py | openjusticebaltimore/ResponseBot | e224fe5251190f2f4a8901afbd622c411601e86e | [
"Apache-2.0"
] | 6 | 2016-05-10T03:34:17.000Z | 2016-06-14T02:42:45.000Z | tests/unit_tests/test_responsebot.py | openjusticebaltimore/ResponseBot | e224fe5251190f2f4a8901afbd622c411601e86e | [
"Apache-2.0"
] | 6 | 2016-05-09T20:17:43.000Z | 2020-08-15T04:43:45.000Z |
try:
from mock import patch, MagicMock
except ImportError:
| 49.987654 | 113 | 0.674241 | from unittest.case import TestCase
from tweepy.error import TweepError
from responsebot.common.exceptions import MissingConfigError, APIQuotaError, AuthenticationError
try:
from mock import patch, MagicMock
except ImportError:
from unittest.mock import patch, MagicMock
from responsebot.responsebot import Re... | 0 | 2,516 | 0 | 1,179 | 0 | 0 | 0 | 149 | 140 |
289059a368c618c03bdc37e2a9f2a8891b92b9d9 | 19,901 | py | Python | packages/w3af/w3af/core/ui/gui/profiles.py | ZooAtmosphereGroup/HelloPackages | 0ccffd33bf927b13d28c8f715ed35004c33465d9 | [
"Apache-2.0"
] | 3 | 2019-04-09T22:59:33.000Z | 2019-06-14T09:23:24.000Z | tools/w3af/w3af/core/ui/gui/profiles.py | sravani-m/Web-Application-Security-Framework | d9f71538f5cba6fe1d8eabcb26c557565472f6a6 | [
"MIT"
] | null | null | null | tools/w3af/w3af/core/ui/gui/profiles.py | sravani-m/Web-Application-Security-Framework | d9f71538f5cba6fe1d8eabcb26c557565472f6a6 | [
"MIT"
] | null | null | null | """
profiles.py
Copyright 2007 Andres Riancho
This file is part of w3af, http://w3af.org/ .
w3af 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 version 2 of the License.
w3af is distributed in the hope that it... | 36.785582 | 94 | 0.581076 | """
profiles.py
Copyright 2007 Andres Riancho
This file is part of w3af, http://w3af.org/ .
w3af 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 version 2 of the License.
w3af is distributed in the hope that it... | 0 | 0 | 0 | 18,973 | 0 | 0 | 0 | 48 | 112 |
b21b40eeb46b85198637ae6c755f4556a994813a | 1,586 | py | Python | src/app/models.py | aminul91/linktutor_restapi | 2077119f9771b31e2aa49f914ebd76451fe3b53c | [
"MIT"
] | null | null | null | src/app/models.py | aminul91/linktutor_restapi | 2077119f9771b31e2aa49f914ebd76451fe3b53c | [
"MIT"
] | null | null | null | src/app/models.py | aminul91/linktutor_restapi | 2077119f9771b31e2aa49f914ebd76451fe3b53c | [
"MIT"
] | null | null | null |
# Create your models here.
| 38.682927 | 80 | 0.747793 | from django.db import models
# Create your models here.
class user_infos(models.Model):
user_name = models.CharField(max_length=50,default="")
pass_user = models.CharField(max_length=50,default="")
user_email = models.EmailField()
def __str__(self):
return self.user_name
class tutorial_types(m... | 0 | 0 | 0 | 1,411 | 0 | 0 | 0 | 7 | 139 |
d08715c0ef4c3ec409e4da9558407c2e6e2f25ee | 503 | py | Python | EasyGit/controllers/navigation.py | andreyragimov/EasyGit | 96d92eeeffab21222887846c77e78eb804223e5d | [
"MIT"
] | null | null | null | EasyGit/controllers/navigation.py | andreyragimov/EasyGit | 96d92eeeffab21222887846c77e78eb804223e5d | [
"MIT"
] | null | null | null | EasyGit/controllers/navigation.py | andreyragimov/EasyGit | 96d92eeeffab21222887846c77e78eb804223e5d | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
from PyQt5.QtWebKitWidgets import QWebView
view = QWebView()
frame = view.page().mainFrame() # todo check is it changing
| 20.958333 | 60 | 0.630219 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
from PyQt5.QtCore import QObject, pyqtSlot, QUrl
from PyQt5.QtWebKitWidgets import QWebView
view = QWebView()
frame = view.page().mainFrame() # todo check is it changing
class Loader(QObject):
def __init__(self):
QObject.__init__(self)
@pyqtSlot(str)
... | 0 | 152 | 0 | 110 | 0 | 0 | 0 | 27 | 46 |
c108fd3d6022fdbe9c9fd301bea4c7bc30dc146e | 619 | py | Python | csv/jython/read/csv_read.py | ekzemplaro/data_base_language | e77030367ffc595f1fac8583f03f9a3ce5eb1611 | [
"MIT",
"Unlicense"
] | 3 | 2015-05-12T16:44:27.000Z | 2021-02-09T00:39:24.000Z | csv/jython/read/csv_read.py | ekzemplaro/data_base_language | e77030367ffc595f1fac8583f03f9a3ce5eb1611 | [
"MIT",
"Unlicense"
] | null | null | null | csv/jython/read/csv_read.py | ekzemplaro/data_base_language | e77030367ffc595f1fac8583f03f9a3ce5eb1611 | [
"MIT",
"Unlicense"
] | null | null | null | #! /usr/bin/jython
# -*- coding: utf-8 -*-
#
# csv_read.py
#
# Jul/20/2015
#
import sys
import string
#
sys.path.append ('/var/www/data_base/common/python_common')
sys.path.append ('/var/www/data_base/common/jython_common')
from jython_text_manipulate import csv_read_proc
from text_manipulate import dict_display_p... | 23.807692 | 70 | 0.547658 | #! /usr/bin/jython
# -*- coding: utf-8 -*-
#
# csv_read.py
#
# Jul/20/2015
#
import sys
import string
#
sys.path.append ('/var/www/data_base/common/python_common')
sys.path.append ('/var/www/data_base/common/jython_common')
from jython_text_manipulate import csv_read_proc
from text_manipulate import dict_display_p... | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5107d647882f810d0bdeb3763081762daca8e9bb | 541 | py | Python | setup.py | serranoycandela/huiini_client | 1c5f828634dabc9a951d542b0b4f328566fabf30 | [
"MIT"
] | null | null | null | setup.py | serranoycandela/huiini_client | 1c5f828634dabc9a951d542b0b4f328566fabf30 | [
"MIT"
] | 21 | 2018-11-19T23:08:29.000Z | 2018-11-22T16:07:01.000Z | setup.py | serranoycandela/huiini_client | 1c5f828634dabc9a951d542b0b4f328566fabf30 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from distutils.core import setup
import sys
sys.argv.append('py2exe')
#C:\Python34\python.exe setup.py
setup(
windows=[
{
"script": "huiini.py",
"icon_resources": [(1, "myicon.ico")]
}
],
options={
"py2exe"... | 21.64 | 98 | 0.432532 | # -*- coding: utf-8 -*-
from distutils.core import setup
import py2exe, sys
sys.argv.append('py2exe')
#C:\Python34\python.exe setup.py
setup(
windows=[
{
"script": "huiini.py",
"icon_resources": [(1, "myicon.ico")]
}
],
options={
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 |
01bbb52d526d294f328f4ebe24d0eb6d13b4a9ac | 8,595 | py | Python | src/covid_scrape.py | wcbeard/covid_models | 16c732273f715045aea150f94717229e54bf5b50 | [
"MIT"
] | null | null | null | src/covid_scrape.py | wcbeard/covid_models | 16c732273f715045aea150f94717229e54bf5b50 | [
"MIT"
] | null | null | null | src/covid_scrape.py | wcbeard/covid_models | 16c732273f715045aea150f94717229e54bf5b50 | [
"MIT"
] | null | null | null | import itertools as it
from pathlib import Path
import simplejson
import altair.vegalite.v3 as A
import requests
import pandas as pd
import numpy as np
pth = Path("~/repos/covid/data").expanduser()
url_ga_county = url_ga = "https://dph.georgia.gov/covid-19-daily-status-report"
# Utils
def nonull_tdd(s):
"""
... | 23.612637 | 79 | 0.575334 | import datetime as dt
import itertools as it
from pathlib import Path
import re
import simplejson
import altair.vegalite.v3 as A
from bs4 import BeautifulSoup
import requests
import pandas as pd
import numpy as np
pth = Path("~/repos/covid/data").expanduser()
url_ga_county = url_ga = "https://dph.georgia.gov/covid-19... | 0 | 0 | 0 | 0 | 0 | 4,281 | 0 | -4 | 545 |
398552cdef48af00a29f3aaad7dc0559249ffd7f | 27,158 | py | Python | npl/likelihood_functions.py | laravomfell/tvd_loss | b30a925f95985a03ff70bfa40a6ec3662432779d | [
"MIT"
] | 1 | 2021-07-21T14:56:59.000Z | 2021-07-21T14:56:59.000Z | npl/likelihood_functions.py | laravomfell/tvd_loss | b30a925f95985a03ff70bfa40a6ec3662432779d | [
"MIT"
] | null | null | null | npl/likelihood_functions.py | laravomfell/tvd_loss | b30a925f95985a03ff70bfa40a6ec3662432779d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 14 09:35:37 2020
@author: Jeremias Knoblauch and Lara Vomfell
Description: Likelihood function wrappers for use within NPL class
"""
import torch
# set the seeds and make sure computations are reproducible
torch.manual_seed(0)
... | 37.771905 | 108 | 0.559062 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 14 09:35:37 2020
@author: Jeremias Knoblauch and Lara Vomfell
Description: Likelihood function wrappers for use within NPL class
"""
import numpy as np
import pdb
from scipy.stats import poisson, norm, binom
from scipy.optimize import minimize
im... | 2 | 0 | 0 | 26,333 | 0 | 0 | 0 | 70 | 413 |
57629d8608d7585637c3a45074580991baa03cb1 | 1,105 | py | Python | networking/main.py | fred5229/IOT | 9fa6d5346476b35baf09337ffa04b2b1fb03f69c | [
"MIT"
] | null | null | null | networking/main.py | fred5229/IOT | 9fa6d5346476b35baf09337ffa04b2b1fb03f69c | [
"MIT"
] | null | null | null | networking/main.py | fred5229/IOT | 9fa6d5346476b35baf09337ffa04b2b1fb03f69c | [
"MIT"
] | null | null | null | import machine
from network import WLAN
from mqtt import MQTTClient # Grapped from https://github.com/pycom/pycom-libraries/blob/master/examples/mqtt/mqtt.py
# Add to your /lib folder and upload
import pycom
pycom.heartbeat(False) # disable the heartbeat LED
# Configuration variables
WIFI... | 32.5 | 117 | 0.739367 | import time
import machine
from network import WLAN
from mqtt import MQTTClient # Grapped from https://github.com/pycom/pycom-libraries/blob/master/examples/mqtt/mqtt.py
# Add to your /lib folder and upload
import pycom
pycom.heartbeat(False) # disable the heartbeat LED
# Configuration va... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -10 | 22 |
6d2835fc66c2e0355f29b5dfc5de50d338ce23d4 | 763 | py | Python | class3/exercises/exercise2/exercise2.py | EndlessDynamics/Fork_nornir_course | 04bf7e3819659f481a4e04059152877b795177b2 | [
"Apache-2.0"
] | 60 | 2019-05-11T05:23:10.000Z | 2022-03-30T08:03:43.000Z | class3/exercises/exercise2/exercise2.py | EndlessDynamics/Fork_nornir_course | 04bf7e3819659f481a4e04059152877b795177b2 | [
"Apache-2.0"
] | 14 | 2021-03-31T19:08:08.000Z | 2021-09-15T17:29:40.000Z | class3/exercises/exercise2/exercise2.py | EndlessDynamics/Fork_nornir_course | 04bf7e3819659f481a4e04059152877b795177b2 | [
"Apache-2.0"
] | 21 | 2019-08-08T21:30:46.000Z | 2022-03-28T06:22:25.000Z |
if __name__ == "__main__":
main()
| 21.8 | 54 | 0.614679 | from nornir import InitNornir
from nornir.core.filter import F
def main():
nr = InitNornir()
# Exercise 2a
print("\nExercise 2a")
print("-" * 20)
arista1 = nr.filter(name="arista1")
print(arista1.inventory.hosts)
print("-" * 20)
print("\nExercise 2b")
print("-" * 20)
wan_devs... | 0 | 0 | 0 | 0 | 0 | 636 | 0 | 19 | 67 |
50927bf55bb6ed949cd938f236ba1859e3cc4a4a | 926 | py | Python | gui/migrations/0003_auto_20210927_1857.py | blakejakopovic/lndg | 45506b55ed6c2f554ef3c13a6863e75ebb292f07 | [
"MIT"
] | 56 | 2021-09-11T14:56:33.000Z | 2022-03-31T04:52:18.000Z | gui/migrations/0003_auto_20210927_1857.py | SatoshiNakamotoBitcoin/lndg | 41d3acb8e87c6f58420cc4fbef114bb802a7ad85 | [
"MIT"
] | 37 | 2021-09-23T18:28:36.000Z | 2022-03-30T00:35:45.000Z | gui/migrations/0003_auto_20210927_1857.py | SatoshiNakamotoBitcoin/lndg | 41d3acb8e87c6f58420cc4fbef114bb802a7ad85 | [
"MIT"
] | 15 | 2021-09-30T23:48:03.000Z | 2022-03-28T21:21:50.000Z | # Generated by Django 3.2.7 on 2021-09-27 18:57
| 25.722222 | 52 | 0.561555 | # Generated by Django 3.2.7 on 2021-09-27 18:57
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('gui', '0002_auto_20210923_1538'),
]
operations = [
migrations.RenameField(
model_name='channels',
old_name='base_fee... | 0 | 0 | 0 | 812 | 0 | 0 | 0 | 19 | 46 |
916d5b41a3fe1c8012d32880f1a79aa5e89ea8b1 | 13,011 | py | Python | foundation_tenant/tests/test_models_to_string.py | smegurus/smegurus-django | 053973b5ff0b997c52bfaca8daf8e07db64a877c | [
"BSD-4-Clause"
] | 1 | 2020-07-16T10:58:23.000Z | 2020-07-16T10:58:23.000Z | foundation_tenant/tests/test_models_to_string.py | smegurus/smegurus-django | 053973b5ff0b997c52bfaca8daf8e07db64a877c | [
"BSD-4-Clause"
] | 13 | 2018-11-30T02:29:39.000Z | 2022-03-11T23:35:49.000Z | foundation_tenant/tests/test_models_to_string.py | smegurus/smegurus-django | 053973b5ff0b997c52bfaca8daf8e07db64a877c | [
"BSD-4-Clause"
] | null | null | null |
TEST_USER_EMAIL = "ledo@gah.com"
TEST_USER_USERNAME = "Ledo"
TEST_USER_PASSWORD = "GalacticAllianceOfHumankind"
TEST_USER_FIRST_NAME = "Ledo"
TEST_USER_LAST_NAME = ""
| 33.882813 | 93 | 0.644455 | from django.core import mail
from django.core.signing import Signer
from django.db import transaction
from django.contrib.auth.models import User, Group
from django.utils import translation
from django.core.urlresolvers import resolve, reverse
from rest_framework.test import APITestCase
from django_tenants.test.cases i... | 0 | 8,757 | 0 | 1,174 | 0 | 0 | 0 | 1,853 | 1,057 |
62d7920dc05a18824a8af528e230f5a46ec28702 | 2,439 | py | Python | sensor_stick/scripts/segmentation.py | DrPanigrahi/RoboND-Perception-Project | 5d755c4a82ef4f7e4bc99c836ae5e03dbda03dcd | [
"MIT"
] | null | null | null | sensor_stick/scripts/segmentation.py | DrPanigrahi/RoboND-Perception-Project | 5d755c4a82ef4f7e4bc99c836ae5e03dbda03dcd | [
"MIT"
] | null | null | null | sensor_stick/scripts/segmentation.py | DrPanigrahi/RoboND-Perception-Project | 5d755c4a82ef4f7e4bc99c836ae5e03dbda03dcd | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Author(s): Smruti Panigrahi
# Import modules
import rospy
import sensor_msgs.point_cloud2 as pc2
from sensor_msgs.msg import PointCloud2
#from pcl_helper import *
import pcl_helper as pclh
# TODO: Define functions as required
# Callback function for your Point Cloud Subscriber
if __name_... | 31.675325 | 106 | 0.755228 | #!/usr/bin/env python
# Author(s): Smruti Panigrahi
# Import modules
import rospy
import pcl
import numpy as np
import ctypes
import struct
import sensor_msgs.point_cloud2 as pc2
from sensor_msgs.msg import PointCloud2, PointField
from std_msgs.msg import Header
from random import randint
#from pcl_helper import *
i... | 0 | 0 | 0 | 0 | 0 | 1,202 | 0 | -1 | 176 |
ada378632a2467ac04bdf3b6c2d9fe593fcbd1d1 | 2,202 | py | Python | pysoa/common/transport/http2_gateway/client.py | zetahernandez/pysoa | 006e55ba877196a42c64f2ff453583d366082d55 | [
"Apache-2.0"
] | null | null | null | pysoa/common/transport/http2_gateway/client.py | zetahernandez/pysoa | 006e55ba877196a42c64f2ff453583d366082d55 | [
"Apache-2.0"
] | null | null | null | pysoa/common/transport/http2_gateway/client.py | zetahernandez/pysoa | 006e55ba877196a42c64f2ff453583d366082d55 | [
"Apache-2.0"
] | null | null | null | from __future__ import (
absolute_import,
unicode_literals,
)
| 37.965517 | 119 | 0.698456 | from __future__ import (
absolute_import,
unicode_literals,
)
import uuid
from pysoa.common.metrics import TimerResolution
from pysoa.common.transport.base import (
ClientTransport,
)
from pysoa.common.transport.exceptions import MessageReceiveTimeout
from pysoa.common.transport.http2_gateway.settings imp... | 0 | 1,723 | 0 | 0 | 0 | 0 | 0 | 228 | 180 |
3eeb13b272956f7df0575c68e031eb841be38c5a | 5,558 | py | Python | code/plot_WTmap_ntwrkX.py | ParhamP/Global-Trade-Network | 106d3e55fba04e72feda2844d092745ce170e55d | [
"BSD-3-Clause"
] | 2 | 2021-08-22T10:02:08.000Z | 2021-11-09T11:30:31.000Z | code/plot_WTmap_ntwrkX.py | ParhamP/Global-Trade-Network | 106d3e55fba04e72feda2844d092745ce170e55d | [
"BSD-3-Clause"
] | null | null | null | code/plot_WTmap_ntwrkX.py | ParhamP/Global-Trade-Network | 106d3e55fba04e72feda2844d092745ce170e55d | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
import utils.plot_functions as pf
import utils.data_manipulation as dm
from ast import literal_eval # to evaluate what is in a string literally.
flg_plot_graph_on_map = True
flg_imshow_adjacency = True
#LOOK UP: from VS260C Rowland Taylor L... | 38.068493 | 143 | 0.677762 | import pickle
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
import utils.plot_functions as pf
import utils.data_manipulation as dm
import utils.network_manipulation as nm
from ast import literal_eval # to evaluate what is in a string literally.
flg_plot_graph_on_map = True
flg_imshow_adja... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 44 |
4aba22e8b14fd539db32357e1c82e363f67f6c20 | 10,499 | py | Python | mtp_2D_7l/randomsurface/randomSurface.py | chinchay/graphene-oxide | 6da0cc8eb951415e71e8c169f868ee9141186c2e | [
"MIT"
] | null | null | null | mtp_2D_7l/randomsurface/randomSurface.py | chinchay/graphene-oxide | 6da0cc8eb951415e71e8c169f868ee9141186c2e | [
"MIT"
] | null | null | null | mtp_2D_7l/randomsurface/randomSurface.py | chinchay/graphene-oxide | 6da0cc8eb951415e71e8c169f868ee9141186c2e | [
"MIT"
] | null | null | null | #%%
import importlib
import aseAtoms2cfg
import myread
importlib.reload(aseAtoms2cfg)
importlib.reload(myread)
from random import random
# seed random number generator
# atoms = getMirrorChain(deg, cc_dist)
#
# # atoms = mirrorChain(ixshift, deg, shift, cc_dist)
# def mirrorChain(deg, shift, cc_dist):
# # atoms... | 30.431884 | 154 | 0.549481 | #%%
import importlib
from numpy.core.fromnumeric import transpose
import aseAtoms2cfg
import myread
importlib.reload(aseAtoms2cfg)
importlib.reload(myread)
import copy
from random import random
import numpy as np
# seed random number generator
from aseAtoms2cfg import atoms2cfg
from ase.build import graphene_nanoribb... | 0 | 0 | 0 | 0 | 0 | 8,348 | 0 | 55 | 357 |
8623085c6c201a6aef5194e8d05dbb61a551f5e4 | 875 | py | Python | waybar-watson.py | joshmuente/waybar-watson | ede88e1c710b0b90b41789e04232beca84d54869 | [
"MIT"
] | null | null | null | waybar-watson.py | joshmuente/waybar-watson | ede88e1c710b0b90b41789e04232beca84d54869 | [
"MIT"
] | null | null | null | waybar-watson.py | joshmuente/waybar-watson | ede88e1c710b0b90b41789e04232beca84d54869 | [
"MIT"
] | 1 | 2022-01-13T15:51:05.000Z | 2022-01-13T15:51:05.000Z | #!/usr/bin/env python3
if __name__ == "__main__":
main()
| 32.407407 | 96 | 0.558857 | #!/usr/bin/env python3
import watson
import time
import json
import arrow
import datetime
def main():
while True:
wat = watson.Watson()
if wat.is_started:
project = wat.current.get('project')
tags = wat.current.get('tags')
started = arrow.now() - wat.current.get(... | 0 | 0 | 0 | 0 | 0 | 723 | 0 | -43 | 133 |
8a1fcff5a1562e98511787ec3b0bda6b27b718a0 | 12,093 | py | Python | verejne/api_GetInfos.py | mirecmrozek/verejne.digital | 8aed7311d75b6d15c8c4b5bbbf0d15ade3ce031a | [
"Apache-2.0"
] | null | null | null | verejne/api_GetInfos.py | mirecmrozek/verejne.digital | 8aed7311d75b6d15c8c4b5bbbf0d15ade3ce031a | [
"Apache-2.0"
] | null | null | null | verejne/api_GetInfos.py | mirecmrozek/verejne.digital | 8aed7311d75b6d15c8c4b5bbbf0d15ade3ce031a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import datetime
# --- UTILITY METHODS ---
def _convert_dates_to_strings(row):
""" Given a database row returned by psycopg2,
convert all dates to strings (usually used
to ensure JSON serialisability). """
for key in row:
if type(row[key]) =... | 31.329016 | 125 | 0.566691 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import datetime
# --- UTILITY METHODS ---
def _convert_dates_to_strings(row):
""" Given a database row returned by psycopg2,
convert all dates to strings (usually used
to ensure JSON serialisability). """
for key in row:
if type(row[key]) =... | 0 | 0 | 0 | 0 | 0 | 10,473 | 0 | 0 | 320 |
f35e086725dbbf1b045cca1de6228fbbc4d21154 | 97 | py | Python | sygicmaps/__init__.py | Sygic/sygic-maps-services-python | 3a2971dbfe0f68d6d2908478247d92367f4f531d | [
"MIT"
] | 2 | 2017-10-23T08:08:26.000Z | 2018-02-07T12:29:30.000Z | sygicmaps/__init__.py | Sygic/sygic-maps-services-python | 3a2971dbfe0f68d6d2908478247d92367f4f531d | [
"MIT"
] | 1 | 2018-03-16T14:23:11.000Z | 2018-03-21T13:09:46.000Z | sygicmaps/__init__.py | Sygic/sygic-maps-services-python | 3a2971dbfe0f68d6d2908478247d92367f4f531d | [
"MIT"
] | 1 | 2019-06-13T08:20:30.000Z | 2019-06-13T08:20:30.000Z |
__version__ = "0.2.7-dev"
| 19.4 | 35 | 0.793814 | from sygicmaps.client import Client
from sygicmaps.input import Input
__version__ = "0.2.7-dev"
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 44 |
2e04004221b85f008ff5c2de8f52ace3e881949d | 679 | py | Python | examples/eval_model.py | markr-fu-berlin/ParlAI | 23f014c38ee502091fdd8623f5c8a6f2c3216e92 | [
"BSD-3-Clause"
] | 2 | 2020-03-22T10:18:09.000Z | 2020-05-06T21:48:47.000Z | examples/eval_model.py | urvishdesai/dialogue-encoding-tasks-parlai | 29743cc7b47c413c2181f68c0b7ef40a6f06a40f | [
"BSD-3-Clause"
] | null | null | null | examples/eval_model.py | urvishdesai/dialogue-encoding-tasks-parlai | 29743cc7b47c413c2181f68c0b7ef40a6f06a40f | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""... | 33.95 | 77 | 0.765832 | #!/usr/bin/env python3
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6b0ac29059d70fa19dac6fa7c35e8c5c0152e982 | 52,238 | py | Python | utils/BaiduTextApi/config/config.py | haodaohong/zimt8 | 41c1a8493775002b8a29075125b362991035cfe8 | [
"Apache-2.0"
] | 1 | 2021-09-30T05:46:44.000Z | 2021-09-30T05:46:44.000Z | utils/BaiduTextApi/config/config.py | haodaohong/zimt8 | 41c1a8493775002b8a29075125b362991035cfe8 | [
"Apache-2.0"
] | null | null | null | utils/BaiduTextApi/config/config.py | haodaohong/zimt8 | 41c1a8493775002b8a29075125b362991035cfe8 | [
"Apache-2.0"
] | 1 | 2021-09-24T15:46:39.000Z | 2021-09-24T15:46:39.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Time : 2019/2/13 08:58
# @User : zhunishengrikuaile
# @File : config.py
# @Email : binary@shujian.org
# @MyBlog : WWW.SHUJIAN.ORG
# @NetName :
# @Software: Api
#
'''
ID: 14348843
API_KEY: wc68dHtiY9mwuD7980EXr1I2
SECRET_KEY: dCaMG095LvB9pdtRqbn5eWP4RFSLnj7... | 62.410992 | 279 | 0.539933 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Time : 2019/2/13 08:58
# @User : zhunishengrikuaile
# @File : config.py
# @Email : binary@shujian.org
# @MyBlog : WWW.SHUJIAN.ORG
# @NetName : 書劍
# @Software: 百度识图Api封装
# 配置文件
'''
应用ID: 14348843
应用API_KEY: wc68dHtiY9mwuD7980EXr1I2
应用SECRET_KEY: dCaMG095LvB9p... | 41,193 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
de6c10906f31d374b65912f5233777fb3ecfd68c | 1,468 | py | Python | rivers2stratigraphy/geom.py | amoodie/rivers2stratigraphy | 3978f0ea4bd087332ee0215f5a003d7f63152598 | [
"MIT"
] | 3 | 2018-04-13T19:17:14.000Z | 2018-04-26T04:36:54.000Z | rivers2stratigraphy/geom.py | amoodie/rivers2stratigraphy | 3978f0ea4bd087332ee0215f5a003d7f63152598 | [
"MIT"
] | 13 | 2018-03-01T03:56:41.000Z | 2018-09-24T16:27:53.000Z | rivers2stratigraphy/geom.py | amoodie/rivers2stratigraphy | 3978f0ea4bd087332ee0215f5a003d7f63152598 | [
"MIT"
] | null | null | null | # geometry calculations
# TODO:
# - swap to x^(0.5) instead of sqrt for speed?
# from scipy.spatial import distance
| 26.690909 | 65 | 0.596049 | # geometry calculations
# TODO:
# - swap to x^(0.5) instead of sqrt for speed?
import numpy as np
# from scipy.spatial import distance
def Qhatfun(Qwf, D50, g):
# dimensionless Qw, Wilkerson and Parker, 2011
return Qwf / (np.sqrt(g * D50) * D50**2)
def Repfun(D50, R, g, nu):
# particle Reynolds num, W... | 0 | 0 | 0 | 0 | 0 | 1,113 | 0 | -3 | 233 |
fbc6f2fca03cbeec5ed0a2f86a463517745cc994 | 841 | py | Python | Machine learning/sentdex course/Machine learning/Classification/SVM.py | ahmedosaka/HACKER_RANK | f594fa8e1eeed0598f7151556a1068865cf9be91 | [
"MIT"
] | null | null | null | Machine learning/sentdex course/Machine learning/Classification/SVM.py | ahmedosaka/HACKER_RANK | f594fa8e1eeed0598f7151556a1068865cf9be91 | [
"MIT"
] | null | null | null | Machine learning/sentdex course/Machine learning/Classification/SVM.py | ahmedosaka/HACKER_RANK | f594fa8e1eeed0598f7151556a1068865cf9be91 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 28 20:46:54 2021
@author: ahmed
"""
import numpy as np
from sklearn import svm
from sklearn.model_selection import train_test_split
import pandas as pd
df = pd.read_csv('breast-cancer-wisconsin.txt')
df.replace('?',-99999, inplace=True)
df.drop(['id'], 1, inplace=True)
... | 25.484848 | 72 | 0.707491 | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 28 20:46:54 2021
@author: ahmed
"""
import numpy as np
from sklearn import preprocessing, neighbors, svm
from sklearn.model_selection import train_test_split
import pandas as pd
df = pd.read_csv('breast-cancer-wisconsin.txt')
df.replace('?',-99999, inplace=True)
df.drop... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0 |