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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
759471eca6eb7bbbb400247ad8d624471bce9b4f | 979 | py | Python | tests/packerlicious/test_post_processor_docker.py | gnewson/packerlicious | 9a5373bc3a63f949e7912dad0214340d5fddbd85 | [
"Apache-2.0"
] | 109 | 2017-07-17T03:32:09.000Z | 2022-02-27T18:24:18.000Z | tests/packerlicious/test_post_processor_docker.py | gnewson/packerlicious | 9a5373bc3a63f949e7912dad0214340d5fddbd85 | [
"Apache-2.0"
] | 175 | 2017-07-16T21:41:40.000Z | 2021-03-19T22:28:19.000Z | tests/packerlicious/test_post_processor_docker.py | gnewson/packerlicious | 9a5373bc3a63f949e7912dad0214340d5fddbd85 | [
"Apache-2.0"
] | 68 | 2017-07-16T20:52:38.000Z | 2022-01-08T18:24:17.000Z |
import packerlicious.post_processor as post_processor
| 23.309524 | 53 | 0.694586 | import pytest
import packerlicious.post_processor as post_processor
class TestDockerImportPostProcessor(object):
def test_required_fields_missing(self):
b = post_processor.DockerImport()
with pytest.raises(ValueError) as excinfo:
b.to_dict()
assert 'required' in str(excinfo.... | 0 | 0 | 0 | 814 | 0 | 0 | 0 | -8 | 114 |
c52b8d9492fbb8787f001b52ab150ed32d5cac19 | 35 | py | Python | labs/hello_world.py | MHSRoboticsCode/2015 | 410f427439d1641146329bfdd74667054a21a658 | [
"MIT"
] | null | null | null | labs/hello_world.py | MHSRoboticsCode/2015 | 410f427439d1641146329bfdd74667054a21a658 | [
"MIT"
] | null | null | null | labs/hello_world.py | MHSRoboticsCode/2015 | 410f427439d1641146329bfdd74667054a21a658 | [
"MIT"
] | null | null | null | # 2015 lab 1
print('Hello World')
| 8.75 | 20 | 0.657143 | # 2015 lab 1
print('Hello World')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4ba48eedc7d1435806e6452e35a6fdf621660ae9 | 34,930 | py | Python | contents/character/generator/CharacterOccupation.py | jakenjarvis/Lakshmi | de805f7488c1a6b3a4e0d3804be7ecd6c814b446 | [
"Apache-2.0"
] | 1 | 2020-08-24T01:31:20.000Z | 2020-08-24T01:31:20.000Z | contents/character/generator/CharacterOccupation.py | jakenjarvis/Lakshmi | de805f7488c1a6b3a4e0d3804be7ecd6c814b446 | [
"Apache-2.0"
] | null | null | null | contents/character/generator/CharacterOccupation.py | jakenjarvis/Lakshmi | de805f7488c1a6b3a4e0d3804be7ecd6c814b446 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
| 50.696662 | 191 | 0.378586 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from typing import List, Dict
import math
import random
import aiohttp
import asyncio
import discord
from discord.ext import commands, tasks
from contents.character.Investigator import Investigator
class CharacterOccupation():
def __init__(self, occupa... | 14,448 | 0 | 0 | 29,828 | 0 | 0 | 0 | 22 | 213 |
16dedf6977b981f036df8a226d0c212ce61fd47e | 4,570 | py | Python | src/passutil/pu.py | aaronstanek/password-generator | 68f6f2ea1721a2ed52333eff842580db3b0a5307 | [
"MIT"
] | 3 | 2020-08-16T22:55:38.000Z | 2022-01-24T23:31:01.000Z | src/passutil/pu.py | aaronstanek/password-generator | 68f6f2ea1721a2ed52333eff842580db3b0a5307 | [
"MIT"
] | null | null | null | src/passutil/pu.py | aaronstanek/password-generator | 68f6f2ea1721a2ed52333eff842580db3b0a5307 | [
"MIT"
] | null | null | null | # Copyright Aaron Stanek 2021
# See LICENSE for more details
import sys
if sys.version_info[0] != 3 or sys.version_info[1] < 6:
raise Exception("Python Password Utility requires Python 3.6 or later. Compatibility with any major versions after Python 3 is not guaranteed.")
import hashlib
# try to use S... | 40.803571 | 149 | 0.645733 | # Copyright Aaron Stanek 2021
# See LICENSE for more details
import sys
if sys.version_info[0] != 3 or sys.version_info[1] < 6:
raise Exception("Python Password Utility requires Python 3.6 or later. Compatibility with any major versions after Python 3 is not guaranteed.")
import hashlib
import secrets
... | 0 | 0 | 0 | 568 | 0 | 3,252 | 0 | 24 | 144 |
632ddc4d9d2feb4191d7326623588355a5544aa5 | 12,824 | py | Python | dl_multi/archive/tfrecord.py | wbrandenburger/MTPIA | 02c773ce60b7efd5b15f270f047a6da5a8f00b7e | [
"MIT"
] | 1 | 2020-04-14T10:19:37.000Z | 2020-04-14T10:19:37.000Z | dl_multi/archive/tfrecord.py | wbrandenburger/MTPIA | 02c773ce60b7efd5b15f270f047a6da5a8f00b7e | [
"MIT"
] | null | null | null | dl_multi/archive/tfrecord.py | wbrandenburger/MTPIA | 02c773ce60b7efd5b15f270f047a6da5a8f00b7e | [
"MIT"
] | null | null | null | # ===========================================================================
# tfrecords_utils.py-------------------------------------------------------
# ===========================================================================
""" The following functions can be used to convert a value to a type compatible with ... | 42.889632 | 265 | 0.523316 | # ===========================================================================
# tfrecords_utils.py-------------------------------------------------------
# ===========================================================================
""" The following functions can be used to convert a value to a type compatible with ... | 0 | 0 | 0 | 0 | 0 | 2,016 | 0 | -1 | 199 |
fe6bb1216cba74208ecaf186e28830bf6199ceab | 298 | py | Python | TAO/Firewall/EXPLOITS/ELCO/fosho/requests/packages/oreos/core.py | dendisuhubdy/grokmachine | 120a21a25c2730ed356739231ec8b99fc0575c8b | [
"BSD-3-Clause"
] | 46 | 2017-05-15T11:15:08.000Z | 2018-07-02T03:32:52.000Z | TAO/Firewall/EXPLOITS/ELCO/fosho/requests/packages/oreos/core.py | dendisuhubdy/grokmachine | 120a21a25c2730ed356739231ec8b99fc0575c8b | [
"BSD-3-Clause"
] | null | null | null | TAO/Firewall/EXPLOITS/ELCO/fosho/requests/packages/oreos/core.py | dendisuhubdy/grokmachine | 120a21a25c2730ed356739231ec8b99fc0575c8b | [
"BSD-3-Clause"
] | 24 | 2017-05-17T03:26:17.000Z | 2018-07-09T07:00:50.000Z | # -*- coding: utf-8 -*-
"""
oreos.core
~~~~~~~~~~
The creamy white center.
"""
from .monkeys import SimpleCookie
def dict_from_string(s):
''''''
cookies = dict()
c = SimpleCookie()
c.load(s)
for k,v in c.items():
cookies.update({k: v.value})
return cookies | 11.92 | 36 | 0.550336 | # -*- coding: utf-8 -*-
"""
oreos.core
~~~~~~~~~~
The creamy white center.
"""
from .monkeys import SimpleCookie
def dict_from_string(s):
''''''
cookies = dict()
c = SimpleCookie()
c.load(s)
for k,v in c.items():
cookies.update({k: v.value})
return cookies | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
73087379e75dba0f7af39e96d3b3fb511649fe52 | 1,189 | py | Python | tests/spec/Spec/get_op_for_request_test.py | terencehonles/bravado-core | 382db874b7b838dcfd169b0ce490d6a447ad6ff2 | [
"BSD-3-Clause"
] | 122 | 2015-04-22T17:31:18.000Z | 2021-11-08T10:29:57.000Z | tests/spec/Spec/get_op_for_request_test.py | terencehonles/bravado-core | 382db874b7b838dcfd169b0ce490d6a447ad6ff2 | [
"BSD-3-Clause"
] | 364 | 2015-04-10T22:19:23.000Z | 2022-02-25T08:55:10.000Z | tests/spec/Spec/get_op_for_request_test.py | terencehonles/bravado-core | 382db874b7b838dcfd169b0ce490d6a447ad6ff2 | [
"BSD-3-Clause"
] | 118 | 2015-04-20T15:11:53.000Z | 2021-12-09T10:03:34.000Z | # -*- coding: utf-8 -*-
| 34.970588 | 73 | 0.748528 | # -*- coding: utf-8 -*-
from bravado_core.spec import Spec
def test_found_with_no_basepath(petstore_dict):
del petstore_dict['basePath']
petstore_spec = Spec.from_dict(petstore_dict)
op = petstore_spec.get_op_for_request('GET', '/pet/{petId}')
assert op == petstore_spec.resources['pet'].operations['ge... | 0 | 0 | 0 | 0 | 0 | 1,010 | 0 | 13 | 137 |
c2c13dd46a699d262d613a09feddc7cbd6846840 | 26,334 | py | Python | btk20_src/lib/mkBeamforming.py | musiclvme/distant_speech_recognition | 60f867383488ac45c2fa3a5433736fdf00dd4f1d | [
"MIT"
] | 136 | 2018-12-06T06:35:44.000Z | 2022-03-27T15:07:42.000Z | btk20_src/lib/mkBeamforming.py | musiclvme/distant_speech_recognition | 60f867383488ac45c2fa3a5433736fdf00dd4f1d | [
"MIT"
] | 25 | 2018-12-03T04:33:24.000Z | 2021-07-28T22:01:37.000Z | btk20_src/lib/mkBeamforming.py | musiclvme/distant_speech_recognition | 60f867383488ac45c2fa3a5433736fdf00dd4f1d | [
"MIT"
] | 68 | 2019-01-08T06:33:30.000Z | 2021-11-17T09:33:10.000Z | import sys
#from pygsl import *
import pygsl.errors as errors
APPZERO = 1.0E-20
# @memo fun_MK() and dfun_MK() are call back functions for pygsl.
# You can easily implement a new MK beamformer by writing a new class derived from
# a class 'MKSubbandBeamformer' which have methods, normalizeWa( wa ),
# ... | 39.9 | 156 | 0.57853 | import sys
import string
import numpy
from numpy import *
import os.path
import pickle
import re
from types import FloatType
import getopt, sys
import copy
import gzip
from btk.common import *
from btk.stream import *
from btk.feature import *
from btk.matrix import *
from btk.utils import *
#from pygsl import *
from... | 0 | 0 | 0 | 21,060 | 0 | 3,322 | 0 | -11 | 599 |
729aa5c6d73fb9c3f5750c80708fb9fd5acd69bc | 312 | py | Python | esuits/answer_history/forms.py | junkhp/esuits_junki | 88293381d80184130adf5f6f96c47b9c79c294f2 | [
"MIT"
] | 2 | 2021-01-24T14:27:36.000Z | 2021-01-24T16:15:43.000Z | esuits/answer_history/forms.py | junkhp/esuits_junki | 88293381d80184130adf5f6f96c47b9c79c294f2 | [
"MIT"
] | 9 | 2021-02-01T03:20:59.000Z | 2021-03-06T08:15:04.000Z | esuits/answer_history/forms.py | junkhp/esuiets_junki | 88293381d80184130adf5f6f96c47b9c79c294f2 | [
"MIT"
] | 1 | 2021-02-07T03:41:01.000Z | 2021-02-07T03:41:01.000Z | # -*- coding: utf-8 -*-
| 22.285714 | 46 | 0.564103 | # -*- coding: utf-8 -*-
from django import forms
class AnswerHistoryCheckForm(forms.Form):
select = forms.ChoiceField(
required=True,
disabled=False,
widget=forms.RadioSelect(attrs={
'id': 'hisradio',
'class': 'ans-history-radio-input'
})
)
| 0 | 0 | 0 | 239 | 0 | 0 | 0 | 3 | 45 |
804b636892a7fa4562d5a1284dc781a81b3adfd3 | 1,433 | py | Python | splitter_bulk.py | rainyleaf/Lexical-Diversity | 8b01e9ab2661e0485e9079a7927f31701065c001 | [
"MIT"
] | null | null | null | splitter_bulk.py | rainyleaf/Lexical-Diversity | 8b01e9ab2661e0485e9079a7927f31701065c001 | [
"MIT"
] | null | null | null | splitter_bulk.py | rainyleaf/Lexical-Diversity | 8b01e9ab2661e0485e9079a7927f31701065c001 | [
"MIT"
] | null | null | null | import os
target_names = ['-to-process.txt.subbed', '_to_process.txt.subbed', '_to-process.txt.subbed', '-to_process.txt.subbed', '-tp.txt.subbed', '_tp.txt.subbed']
target = "-Processing"
for dirname, dirs, files in os.walk('.'):
if target in dirname and 'tagged' not in dirname:
for filename in f... | 49.413793 | 158 | 0.545708 | import os
target_names = ['-to-process.txt.subbed', '_to_process.txt.subbed', '_to-process.txt.subbed', '-to_process.txt.subbed', '-tp.txt.subbed', '_tp.txt.subbed']
target = "-Processing"
for dirname, dirs, files in os.walk('.'):
if target in dirname and 'tagged' not in dirname:
for filename in f... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ade430af24e23c85d8a37decc033be928a493686 | 4,600 | py | Python | src/xinput.py | ypar/treqtl | 7c8ab7310edd83bc7f7950b45d4338341da07ce2 | [
"MIT"
] | null | null | null | src/xinput.py | ypar/treqtl | 7c8ab7310edd83bc7f7950b45d4338341da07ce2 | [
"MIT"
] | null | null | null | src/xinput.py | ypar/treqtl | 7c8ab7310edd83bc7f7950b45d4338341da07ce2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
###
# YoSon
# @treqtl/xinput.py
# produce xtreqtl input files by matching rs numbers from trait and iv summary statistics
###
from sys import argv
if __name__ == '__main__':
# if main, run test with input files
ewkdir = argv[1]
efile = argv[2]
gwkdir = argv[3]
outdf = xinput(... | 50 | 356 | 0.619565 | #!/usr/bin/env python3
###
# YoSon
# @treqtl/xinput.py
# produce xtreqtl input files by matching rs numbers from trait and iv summary statistics
###
import pandas as pd
import numpy as np
import os, sys
from sys import argv
from os import walk
from treqtl_input import read_dir
def xinput(ewkdir, efile, gwkdir):
... | 0 | 0 | 0 | 0 | 0 | 4,116 | 0 | -2 | 135 |
26538207d5f5a691a112b07bba26c641ec81cf61 | 265 | py | Python | aioli_openapi/__init__.py | jimorie/aioli-openapi | 5a5ea6471d332adc8361ad39af7421e4686811fd | [
"MIT"
] | null | null | null | aioli_openapi/__init__.py | jimorie/aioli-openapi | 5a5ea6471d332adc8361ad39af7421e4686811fd | [
"MIT"
] | null | null | null | aioli_openapi/__init__.py | jimorie/aioli-openapi | 5a5ea6471d332adc8361ad39af7421e4686811fd | [
"MIT"
] | null | null | null | from aioli import Package
from .controller import HttpController
from .service import OpenApiService
from .config import ConfigSchema
export = Package(
controllers=[HttpController],
services=[OpenApiService],
config=ConfigSchema,
auto_meta=True
)
| 20.384615 | 38 | 0.777358 | from aioli import Package
from .controller import HttpController
from .service import OpenApiService
from .config import ConfigSchema
export = Package(
controllers=[HttpController],
services=[OpenApiService],
config=ConfigSchema,
auto_meta=True
)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e4919b9cf916abaae343f9577cf24c5bd7884722 | 4,629 | py | Python | nlptasks/task_classification_cnn_roc_prf.py | allenwind/tf2bert | 9820223559543529d4dcc703e2742ab8fd14d58e | [
"Apache-2.0"
] | 4 | 2021-06-16T02:26:18.000Z | 2021-09-24T11:06:51.000Z | nlptasks/task_classification_cnn_roc_prf.py | allenwind/tf2bert | 9820223559543529d4dcc703e2742ab8fd14d58e | [
"Apache-2.0"
] | null | null | null | nlptasks/task_classification_cnn_roc_prf.py | allenwind/tf2bert | 9820223559543529d4dcc703e2742ab8fd14d58e | [
"Apache-2.0"
] | null | null | null | import matplotlib.pyplot as plt
from sklearn.metrics import roc_curve, auc
import itertools
import numpy as np
import tensorflow as tf
from tensorflow.keras.preprocessing import sequence
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input
from tensorflow.keras.layers import Dense, Dropou... | 27.885542 | 110 | 0.680709 | import matplotlib.pyplot as plt
from sklearn.metrics import roc_auc_score
from sklearn.metrics import roc_curve, auc
import itertools
import numpy as np
import tensorflow as tf
from tensorflow.keras.preprocessing import sequence
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input
from te... | 165 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 66 |
5059b12edbc2fec8ad15300670e5c0628bc4149c | 534 | py | Python | botx/clients/types/options.py | ExpressApp/pybotx | 97c8b1ce5d45a05567ed01d545cb43174a2dcbb9 | [
"MIT"
] | 13 | 2021-01-21T12:43:10.000Z | 2022-03-23T11:11:59.000Z | botx/clients/types/options.py | ExpressApp/pybotx | 97c8b1ce5d45a05567ed01d545cb43174a2dcbb9 | [
"MIT"
] | 259 | 2020-02-26T08:51:03.000Z | 2022-03-23T11:08:36.000Z | botx/clients/types/options.py | ExpressApp/pybotx | 97c8b1ce5d45a05567ed01d545cb43174a2dcbb9 | [
"MIT"
] | 5 | 2019-12-02T16:19:22.000Z | 2021-11-22T20:33:34.000Z | """Special options for messages from bot."""
| 29.666667 | 84 | 0.754682 | """Special options for messages from bot."""
from pydantic import BaseModel
from botx.models.messages.sending.options import NotificationOptions
class ResultOptions(BaseModel):
"""Configuration for command result or notification that is send to BotX API."""
#: send message only when stealth mode is enabled.... | 0 | 0 | 0 | 364 | 0 | 0 | 0 | 56 | 68 |
48ece775f281cd9e1431d40945120826992d65c2 | 2,877 | py | Python | source/reports/orderReports.py | MatheusDiass/BOBs_Pizzaria_Anchieta | b52188cb6411a07b67a76b0e53f3828f9cf0012d | [
"MIT"
] | 2 | 2020-05-23T21:57:29.000Z | 2020-05-23T22:03:06.000Z | source/reports/orderReports.py | MatheusDiass/BOBs_Pizzaria_Anchieta | b52188cb6411a07b67a76b0e53f3828f9cf0012d | [
"MIT"
] | 1 | 2020-05-31T18:15:47.000Z | 2020-05-31T18:15:47.000Z | source/reports/orderReports.py | MatheusDiass/BOBs_Pizzaria_Anchieta | b52188cb6411a07b67a76b0e53f3828f9cf0012d | [
"MIT"
] | null | null | null | # Import sqlite3 para tratar os erros
# Importado para formatar a data
# Importa a funo de relatrio de pedidos
# Exibe todos os pedidos
# Exibe todos os pedidos de acordo com o periodo informado | 36.884615 | 93 | 0.572471 | # Import sqlite3 para tratar os erros
import _sqlite3
# Importado para formatar a data
from datetime import date, datetime
# Importa a função de relatório de pedidos
from source.db.tblOrder import selectAllOrderInformation, selectAllOrderBetweenDate
# Exibe todos os pedidos
def allOrderInformationReports():
try:... | 26 | 0 | 0 | 0 | 0 | 2,486 | 0 | 70 | 110 |
2c65584e8066d874578c2f9877a23e7292123209 | 1,480 | py | Python | files/029 - distinct powers.py | farukara/Project-Euler-problems | 806fdbd797edd9929728b43cc428a55df50e1c01 | [
"MIT"
] | null | null | null | files/029 - distinct powers.py | farukara/Project-Euler-problems | 806fdbd797edd9929728b43cc428a55df50e1c01 | [
"MIT"
] | null | null | null | files/029 - distinct powers.py | farukara/Project-Euler-problems | 806fdbd797edd9929728b43cc428a55df50e1c01 | [
"MIT"
] | null | null | null | #!python3
# coding: utf-8
# Consider all integer combinations of ab for 2 a 5 and 2 b 5:
#
# 22=4, 23=8, 24=16, 25=32
# 32=9, 33=27, 34=81, 35=243
# 42=16, 43=64, 44=256, 45=1024
# 52=25, 53=125, 54=625, 55=3125
# If they are then placed in numerical order, with any repeats removed, we get the following sequence o... | 24.666667 | 123 | 0.608784 | #!python3
# coding: utf-8
# Consider all integer combinations of ab for 2 ≤ a ≤ 5 and 2 ≤ b ≤ 5:
#
# 22=4, 23=8, 24=16, 25=32
# 32=9, 33=27, 34=81, 35=243
# 42=16, 43=64, 44=256, 45=1024
# 52=25, 53=125, 54=625, 55=3125
# If they are then placed in numerical order, with any repeats removed, we get the following sequen... | 24 | 0 | 0 | 0 | 0 | 295 | 0 | 0 | 46 |
d6fffbc360e40f3fa206c22120a91856dbfad8a1 | 167 | py | Python | build.py | findgriffin/quotesforclare | 5433e9b3b3a8b42133069ff91a902ff0d53cf0da | [
"MIT"
] | null | null | null | build.py | findgriffin/quotesforclare | 5433e9b3b3a8b42133069ff91a902ff0d53cf0da | [
"MIT"
] | null | null | null | build.py | findgriffin/quotesforclare | 5433e9b3b3a8b42133069ff91a902ff0d53cf0da | [
"MIT"
] | null | null | null | import markdown
with open("index.md", 'r') as md:
output = markdown.markdown(md.read())
with open("public/index.html", 'w') as out:
out.write(output)
| 23.857143 | 47 | 0.628743 | import markdown
with open("index.md", 'r') as md:
output = markdown.markdown(md.read())
with open("public/index.html", 'w') as out:
out.write(output)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b7c908fd071d0ff5c30f1ca4c527eb71f4aa62d3 | 10,342 | py | Python | MCFundamental.py | aaleti/NeighboursSimilarFitness | bf087bfb8e77c79f085388fccf8aa63088f8d610 | [
"Unlicense"
] | null | null | null | MCFundamental.py | aaleti/NeighboursSimilarFitness | bf087bfb8e77c79f085388fccf8aa63088f8d610 | [
"Unlicense"
] | null | null | null | MCFundamental.py | aaleti/NeighboursSimilarFitness | bf087bfb8e77c79f085388fccf8aa63088f8d610 | [
"Unlicense"
] | null | null | null | from numpy.linalg import inv
import numpy as np
import matplotlib.cbook as cbook
from scipy.stats import mode
import pandas as pd
files = ["3","4","5","6","7","8","9"]
Ptype=["nsf","no_nsf"]
data=[]
datafitnesses=[]
for fNumber in files:
iterations=0
if(fNumber=="9"):
iterations=100
else:
i... | 47.009091 | 127 | 0.314929 | from numpy.linalg import inv
import numpy as np
import pykov
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
from itertools import cycle
import matplotlib
from matplotlib.pyplot import *
import brewer2mpl
import seaborn as sns
from scipy.stats import ks_2samp
from scipy.stats import mode
import pandas ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 176 |
ddf6603ab028bfe68570d800eb542a92f989c9b8 | 6,947 | py | Python | goal-depth-detection-host/main.py | jonathandao0/depthai-frc | 9f1b4fc9e049f252e5f8fc53da02b9ed43d80b5a | [
"MIT"
] | 3 | 2021-11-23T17:00:55.000Z | 2022-02-17T20:23:50.000Z | goal-depth-detection-host/main.py | jonathandao0/depthai-frc | 9f1b4fc9e049f252e5f8fc53da02b9ed43d80b5a | [
"MIT"
] | null | null | null | goal-depth-detection-host/main.py | jonathandao0/depthai-frc | 9f1b4fc9e049f252e5f8fc53da02b9ed43d80b5a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import argparse
import logging
parser = argparse.ArgumentParser()
parser.add_argument('-d', dest='debug', action="store_true", default=False, help='Start in Debug Mode')
args = parser.parse_args()
log = logging.getLogger(__name__)
if __name__ == '__main__':
log.info("Starting goal-dept... | 37.349462 | 137 | 0.57622 | #!/usr/bin/env python3
import argparse
import cv2
import depthai as dai
import socket
from pipelines import goal_edge_depth_detection
import logging
from common import target_finder
from common.mjpeg_stream import MjpegStream
from networktables.util import NetworkTables
from common.utils import FPSHandler
parser = ... | 0 | 0 | 0 | 6,231 | 0 | 0 | 0 | 77 | 224 |
9a28ad71df48836ad852013ab4decef7364b3e68 | 2,513 | py | Python | ruspy/test/estimation_tests/test_estimation.py | MaxBlesch/ruspy | 5e7fb9e584c7e0d4935f4669e108bbf4e05209c6 | [
"MIT"
] | 13 | 2019-09-10T12:00:16.000Z | 2022-03-19T13:30:12.000Z | ruspy/test/estimation_tests/test_estimation.py | MaxBlesch/ruspy | 5e7fb9e584c7e0d4935f4669e108bbf4e05209c6 | [
"MIT"
] | 45 | 2019-02-17T19:39:00.000Z | 2021-08-23T17:38:40.000Z | ruspy/test/estimation_tests/test_estimation.py | MaxBlesch/ruspy | 5e7fb9e584c7e0d4935f4669e108bbf4e05209c6 | [
"MIT"
] | 9 | 2019-05-03T03:48:37.000Z | 2022-03-19T13:30:13.000Z | """
This module contains unit tests, for the most important functions of
ruspy.estimation.estimation_cost_parameters. The values to compare the results with
are saved in resources/estimation_test. The setting of the test is documented in the
inputs section in test module.
"""
| 31.024691 | 87 | 0.712296 | """
This module contains unit tests, for the most important functions of
ruspy.estimation.estimation_cost_parameters. The values to compare the results with
are saved in resources/estimation_test. The setting of the test is documented in the
inputs section in test module.
"""
import numpy as np
import pytest
from numpy... | 0 | 609 | 0 | 0 | 0 | 971 | 0 | 267 | 382 |
eb4c17d2f6bc5d50a6467e03c3892b0132914fb1 | 6,123 | py | Python | exercises/adaboost_scenario.py | dani3lwinter/IML.HUJI | 46b5e001b92d7bac3b7efa2278d0236b69159895 | [
"MIT"
] | null | null | null | exercises/adaboost_scenario.py | dani3lwinter/IML.HUJI | 46b5e001b92d7bac3b7efa2278d0236b69159895 | [
"MIT"
] | null | null | null | exercises/adaboost_scenario.py | dani3lwinter/IML.HUJI | 46b5e001b92d7bac3b7efa2278d0236b69159895 | [
"MIT"
] | null | null | null |
import numpy as np
from typing import Tuple
import plotly.graph_objects as go
pio.renderers.default = "browser"
def generate_data(n: int, noise_ratio: float) -> Tuple[np.ndarray, np.ndarray]:
"""
Generate a dataset in R^2 of specified size
Parameters
----------
n: int
Number of samples ... | 41.09396 | 117 | 0.594317 | from itertools import product
import numpy as np
from typing import Tuple
from IMLearn.learners.classifiers import DecisionStump
from IMLearn.metalearners import AdaBoost
from utils import *
import plotly.graph_objects as go
from plotly.subplots import make_subplots
pio.renderers.default = "browser"
def generate_da... | 0 | 0 | 0 | 0 | 0 | 3,329 | 0 | 79 | 133 |
47a3628be6d06fce60c6aa3b96f418edd831bdb8 | 2,375 | py | Python | test.py | yhZhai/wtalc-pytorch | e8016e7849b026132d16f64852711083d735edf2 | [
"MIT"
] | 1 | 2020-05-11T00:28:47.000Z | 2020-05-11T00:28:47.000Z | test.py | yhZhai/wtalc-pytorch | e8016e7849b026132d16f64852711083d735edf2 | [
"MIT"
] | null | null | null | test.py | yhZhai/wtalc-pytorch | e8016e7849b026132d16f64852711083d735edf2 | [
"MIT"
] | null | null | null | import torch.optim as optim
# torch.set_default_tensor_type('torch.FloatTensor')
| 38.934426 | 116 | 0.664842 | import torch
import torch.nn.functional as F
import torch.optim as optim
from model import Model
from video_dataset import Dataset
from tensorboard_logger import log_value
import utils
import numpy as np
from torch.autograd import Variable
from classificationMAP import getClassificationMAP as cmAP
from detect... | 0 | 0 | 0 | 0 | 0 | 1,909 | 0 | 101 | 278 |
7fe3b91986972c5ce11f9efef5923c262ae5e073 | 38,655 | py | Python | Steel/bolts_IC_gui.py | hotmailbox/Structural-Engineering | f34dcaec728fbb3e3a05c6f29ed5dabc621550cb | [
"BSD-3-Clause"
] | 152 | 2017-08-14T10:06:19.000Z | 2022-03-07T04:48:49.000Z | Steel/bolts_IC_gui.py | hotmailbox/Structural-Engineering | f34dcaec728fbb3e3a05c6f29ed5dabc621550cb | [
"BSD-3-Clause"
] | 15 | 2017-08-13T23:30:18.000Z | 2021-03-25T05:08:49.000Z | Steel/bolts_IC_gui.py | hotmailbox/Structural-Engineering | f34dcaec728fbb3e3a05c6f29ed5dabc621550cb | [
"BSD-3-Clause"
] | 52 | 2017-11-09T09:58:07.000Z | 2022-02-09T16:58:38.000Z | '''
BSD 3-Clause License
Copyright (c) 2019, Donald N. Bockoven III
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
l... | 45.31653 | 464 | 0.543837 | '''
BSD 3-Clause License
Copyright (c) 2019, Donald N. Bockoven III
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
l... | 0 | 0 | 0 | 36,680 | 0 | 132 | 0 | -2 | 219 |
04a9f8fe3911032dc6684bf8e345fde7a20c24c1 | 3,355 | py | Python | python/surf/devices/silabs/_Si5345Lite.py | qarlosalberto/surf | 69df91296d77efc9e812da051841545e320ebf69 | [
"BSD-3-Clause-LBNL"
] | 2 | 2021-05-13T19:56:51.000Z | 2021-05-21T13:33:02.000Z | python/surf/devices/silabs/_Si5345Lite.py | qarlosalberto/surf | 69df91296d77efc9e812da051841545e320ebf69 | [
"BSD-3-Clause-LBNL"
] | null | null | null | python/surf/devices/silabs/_Si5345Lite.py | qarlosalberto/surf | 69df91296d77efc9e812da051841545e320ebf69 | [
"BSD-3-Clause-LBNL"
] | null | null | null | #-----------------------------------------------------------------------------
# This file is part of 'SLAC Firmware Standard Library'.
# It is subject to the license terms in the LICENSE.txt file found in the
# top-level directory of this distribution and at:
# https://confluence.slac.stanford.edu/display/ppareg/LI... | 37.277778 | 96 | 0.491803 | #-----------------------------------------------------------------------------
# This file is part of 'SLAC Firmware Standard Library'.
# It is subject to the license terms in the LICENSE.txt file found in the
# top-level directory of this distribution and at:
# https://confluence.slac.stanford.edu/display/ppareg/LI... | 0 | 1,633 | 0 | 1,001 | 0 | 0 | 0 | -28 | 112 |
1453a426e851b72a4844eed7230b164334c62ea5 | 620 | py | Python | thinkpython_allen_downey/exercise_6_2.py | alirkaya/programming-textbook-solutions | 7362dce474b8a881d654f95604e09d1d0e76aec2 | [
"MIT"
] | null | null | null | thinkpython_allen_downey/exercise_6_2.py | alirkaya/programming-textbook-solutions | 7362dce474b8a881d654f95604e09d1d0e76aec2 | [
"MIT"
] | null | null | null | thinkpython_allen_downey/exercise_6_2.py | alirkaya/programming-textbook-solutions | 7362dce474b8a881d654f95604e09d1d0e76aec2 | [
"MIT"
] | null | null | null | # def hypotenuse(x, y):
# return 0.0
#
# print(hypotenuse(3, 4))
#
# def hypotenuse(x, y):
# square_x = x**2
# square_y = y**2
# print('square_x is', square_x)
# print('square_y is', square_y)
# return 0.0
#
# print(hypotenuse(3, 4))
#
# def hypotenuse(x, y):
# from math import sqrt
# sq... | 20 | 45 | 0.58871 | # def hypotenuse(x, y):
# return 0.0
#
# print(hypotenuse(3, 4))
#
# def hypotenuse(x, y):
# square_x = x**2
# square_y = y**2
# print('square_x is', square_x)
# print('square_y is', square_y)
# return 0.0
#
# print(hypotenuse(3, 4))
#
# def hypotenuse(x, y):
# from math import sqrt
# sq... | 0 | 0 | 0 | 0 | 0 | 55 | 0 | 0 | 23 |
d7e66a021ecddeb23f0dbeb0f0551cb3b5f1cf3d | 1,074 | py | Python | ecosystem/plot_stargazers.py | sealuzh/docker-ecosystem-paper | 5c8b253062796baf5d154bc6f9660a7d05d3dad5 | [
"Apache-2.0"
] | 5 | 2017-05-19T15:41:46.000Z | 2021-08-03T16:52:56.000Z | ecosystem/plot_stargazers.py | sealuzh/docker-ecosystem-paper | 5c8b253062796baf5d154bc6f9660a7d05d3dad5 | [
"Apache-2.0"
] | 1 | 2019-11-18T09:26:23.000Z | 2019-11-18T09:26:23.000Z | ecosystem/plot_stargazers.py | sealuzh/docker-ecosystem-paper | 5c8b253062796baf5d154bc6f9660a7d05d3dad5 | [
"Apache-2.0"
] | 1 | 2017-05-20T13:54:14.000Z | 2017-05-20T13:54:14.000Z | #!/usr/bin/env python
# Plots stargazers of repositories.
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from sklearn.neighbors import KernelDensity
# Based on: https://jakevdp.github.io/blog/2013/12/01/kernel-density-estimation/
def kde_sklearn(x, x_grid, bandwidth=0.2, **kwargs):
"""Kerne... | 28.263158 | 83 | 0.72905 | #!/usr/bin/env python
# Plots stargazers of repositories.
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from sklearn.neighbors import KernelDensity
# Based on: https://jakevdp.github.io/blog/2013/12/01/kernel-density-estimation/
def kde_sklearn(x, x_grid, bandwidth=0.2, **kwargs):
"""Kerne... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bcd58dc314a69f1b85201cceac9b86fb58297c42 | 21,978 | py | Python | contrail-topology/contrail_topology/controller.py | biswajit-mandal/contrail-analytics | 393157153c223925d1dabdc2e173da90ab61aa50 | [
"Apache-2.0"
] | null | null | null | contrail-topology/contrail_topology/controller.py | biswajit-mandal/contrail-analytics | 393157153c223925d1dabdc2e173da90ab61aa50 | [
"Apache-2.0"
] | null | null | null | contrail-topology/contrail_topology/controller.py | biswajit-mandal/contrail-analytics | 393157153c223925d1dabdc2e173da90ab61aa50 | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) 2015 Juniper Networks, Inc. All rights reserved.
#
| 47.16309 | 105 | 0.503231 | #
# Copyright (c) 2015 Juniper Networks, Inc. All rights reserved.
#
from analytic_client import AnalyticApiClient
import time, socket, os
from topology_uve import LinkUve
import gevent
from gevent.lock import Semaphore
from opserver.consistent_schdlr import ConsistentScheduler
from topology_config_handler import Topol... | 0 | 0 | 0 | 21,352 | 0 | 0 | 0 | 202 | 354 |
f31a318e5b8203dfd8fa0fa413989c87bccad9bd | 2,821 | py | Python | scratch.py | derekvantilborg/molml_tools | 5a5baaa21a4b3b91e59c1a350d04db3fd5102e4e | [
"MIT"
] | null | null | null | scratch.py | derekvantilborg/molml_tools | 5a5baaa21a4b3b91e59c1a350d04db3fd5102e4e | [
"MIT"
] | null | null | null | scratch.py | derekvantilborg/molml_tools | 5a5baaa21a4b3b91e59c1a350d04db3fd5102e4e | [
"MIT"
] | null | null | null | # conda install scikit-learn
# conda install -c conda-forge scikit-optimize
# conda install -c conda-forge rdkit
import pandas as pd
# from Tools.Clustering.butina import cluster_molecules
from molml.Datastructures.molecule import Dataset
from molml.Data import read_csv
from molml.Representations.descriptors import ec... | 28.785714 | 125 | 0.720312 | # conda install scikit-learn
# conda install -c conda-forge scikit-optimize
# conda install -c conda-forge rdkit
import pandas as pd
# from Tools.Clustering.butina import cluster_molecules
from molml.Datastructures.molecule import Dataset
from molml.Data import read_csv
from molml.Representations.descriptors import ec... | 0 | 0 | 0 | 0 | 0 | 17 | 0 | -3 | 45 |
8a643272ae06be634a32e0ab7072e549a34dede7 | 2,217 | py | Python | 4/vendor/gistfile1.py | JarryShaw/HelloWorld | 669984fa415e9bb65f5b7c261ec4f87ffbe56c6d | [
"Apache-2.0"
] | 1 | 2017-12-22T14:15:08.000Z | 2017-12-22T14:15:08.000Z | 4/vendor/gistfile1.py | JarryShaw/HelloWorld | 669984fa415e9bb65f5b7c261ec4f87ffbe56c6d | [
"Apache-2.0"
] | 1 | 2018-01-16T09:22:52.000Z | 2018-01-16T09:22:52.000Z | 4/vendor/gistfile1.py | JarryShaw/HelloWorld | 669984fa415e9bb65f5b7c261ec4f87ffbe56c6d | [
"Apache-2.0"
] | 1 | 2018-01-16T07:50:00.000Z | 2018-01-16T07:50:00.000Z | alphabet = "0123456789."
code = input()
grid = []
variables = []
loops = 10
for i in range(100):
grid.append(00)
while code[0] != "3" or code[1] != "." or code[-1] != "4":
code = input("Code invalid. ")
code += "000000"
i = 2
while i < len(code) - 6:
variables = []
variables.append(int(code[i+1] + ... | 28.063291 | 71 | 0.412269 | alphabet = "0123456789."
code = input()
grid = []
variables = []
loops = 10
for i in range(100):
grid.append(00)
while code[0] != "3" or code[1] != "." or code[-1] != "4":
code = input("Code invalid. ")
code += "000000"
i = 2
while i < len(code) - 6:
variables = []
variables.append(int(code[i+1] + ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
faaa8707ba2e3914afcd146434676d67944dc037 | 7,959 | py | Python | paasta_tools/paastaapi/models/marathon_autoscaling_info.py | rohangulati/paasta | 4539e39159424bfbdeddcb243ca337bcd1eb1a06 | [
"Apache-2.0"
] | null | null | null | paasta_tools/paastaapi/models/marathon_autoscaling_info.py | rohangulati/paasta | 4539e39159424bfbdeddcb243ca337bcd1eb1a06 | [
"Apache-2.0"
] | null | null | null | paasta_tools/paastaapi/models/marathon_autoscaling_info.py | rohangulati/paasta | 4539e39159424bfbdeddcb243ca337bcd1eb1a06 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Paasta API
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: 1.0.0
Generated by: https://openapi-generator.tech
"""
| 33.868085 | 181 | 0.650333 | # coding: utf-8
"""
Paasta API
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: 1.0.0
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from... | 0 | 3,780 | 0 | 3,776 | 0 | 0 | 0 | 10 | 128 |
7851d839dad479e83abf6f0e090c76610a28cb3d | 5,100 | py | Python | pymvg/test/test_first_principles.py | hop-soellingeraj/pymvg | 2b99ccb459063f34dbe801bdbbfcf1209b1fb3e5 | [
"MIT"
] | 84 | 2015-04-23T02:22:08.000Z | 2022-02-22T01:58:53.000Z | pymvg/test/test_first_principles.py | hop-soellingeraj/pymvg | 2b99ccb459063f34dbe801bdbbfcf1209b1fb3e5 | [
"MIT"
] | 8 | 2019-10-23T00:04:01.000Z | 2021-11-22T18:58:08.000Z | pymvg/test/test_first_principles.py | hop-soellingeraj/pymvg | 2b99ccb459063f34dbe801bdbbfcf1209b1fb3e5 | [
"MIT"
] | 18 | 2015-10-12T23:14:24.000Z | 2021-11-22T18:46:38.000Z | #!/usr/bin/env python
import os
DRAW=int(os.environ.get('DRAW','0'))
if DRAW:
if __name__=='__main__':
test_simple_projection()
test_lookat()
| 32.075472 | 80 | 0.604706 | #!/usr/bin/env python
import numpy as np
from pymvg.test.utils import _build_points_3d, make_M
import os
from pymvg.util import normalize
from pymvg.camera_model import CameraModel
DRAW=int(os.environ.get('DRAW','0'))
if DRAW:
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from p... | 0 | 0 | 0 | 0 | 68 | 4,512 | 0 | 108 | 260 |
a9795bb69cedbf18f80dc8b60dec3a74eb7e7217 | 23 | py | Python | colored_graph/__init__.py | SyrianSpock/colored-graph | dd182bcff8f09b7e38b73142c713abdc0e276919 | [
"MIT"
] | null | null | null | colored_graph/__init__.py | SyrianSpock/colored-graph | dd182bcff8f09b7e38b73142c713abdc0e276919 | [
"MIT"
] | null | null | null | colored_graph/__init__.py | SyrianSpock/colored-graph | dd182bcff8f09b7e38b73142c713abdc0e276919 | [
"MIT"
] | null | null | null | name = "colored_graph"
| 11.5 | 22 | 0.73913 | name = "colored_graph"
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6f94639bb7da81753f9a1947683bcad48ae1179f | 7,143 | py | Python | Connect4/bot.py | iridia-ulb/AI-book | 965c6e217a8d2371c64a7e01e7b9145302bcf40f | [
"MIT"
] | 2 | 2021-12-24T21:08:46.000Z | 2022-03-16T20:30:14.000Z | Connect4/bot.py | iridia-ulb/AI-book | 965c6e217a8d2371c64a7e01e7b9145302bcf40f | [
"MIT"
] | null | null | null | Connect4/bot.py | iridia-ulb/AI-book | 965c6e217a8d2371c64a7e01e7b9145302bcf40f | [
"MIT"
] | null | null | null |
YELLOW_PLAYER = 1
RED_PLAYER = -1
PLAYERS = {1: "Yellow", -1: "Red"}
| 32.766055 | 105 | 0.557749 | import random
import math
from common import (
ROW_COUNT,
COLUMN_COUNT,
MINIMAX,
MONTE_CARLO,
RANDOM,
RANDOM_IMPR,
Observer,
)
YELLOW_PLAYER = 1
RED_PLAYER = -1
PLAYERS = {1: "Yellow", -1: "Red"}
class Bot(Observer):
"""
This class handles the different bots that were used.
I... | 0 | 0 | 0 | 6,869 | 0 | 0 | 0 | 89 | 112 |
4db5922ca0eda76dacac4a88ee4dc802601c0259 | 1,501 | py | Python | ML Services/03.VS Code の利用/01.NativeScoreing_Linux.py | MasayukiOzawa/SQLServer-Util | 7dd1f9ab411955b85026c78e6e901ea4c57788f8 | [
"MIT"
] | 64 | 2016-06-15T07:39:40.000Z | 2022-03-22T02:19:50.000Z | ML Services/03.VS Code の利用/01.NativeScoreing_Linux.py | MasayukiOzawa/SQLServer-Util | 7dd1f9ab411955b85026c78e6e901ea4c57788f8 | [
"MIT"
] | 1 | 2016-09-24T17:41:04.000Z | 2016-11-09T01:31:17.000Z | ML Services/03.VS Code の利用/01.NativeScoreing_Linux.py | MasayukiOzawa/SQLServer-Util | 7dd1f9ab411955b85026c78e6e901ea4c57788f8 | [
"MIT"
] | 20 | 2017-03-07T19:20:00.000Z | 2022-03-22T02:34:50.000Z | from revoscalepy import rx_lin_mod, rx_serialize_model, rx_summary
import pandas as pd
import pyodbc
conn_str = 'Driver=SQL Server;Server=<Server Name>;Database=MLDB;Uid=<User Name>;Pwd=<Password>;'
cnxn = pyodbc.connect(conn_str)
cnxn.setencoding("utf-8")
inputsql = 'select "RentalCount", "Year", "Month", "Day", "Wee... | 40.567568 | 138 | 0.756163 | from revoscalepy import rx_lin_mod, rx_serialize_model, rx_summary
import pandas as pd
import pyodbc
import os
conn_str = 'Driver=SQL Server;Server=<Server Name>;Database=MLDB;Uid=<User Name>;Pwd=<Password>;'
cnxn = pyodbc.connect(conn_str)
cnxn.setencoding("utf-8")
inputsql = 'select "RentalCount", "Year", "Month", "... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -12 | 22 |
b08b481c6d54dd8f5ce2e1219e53ea74e1b33134 | 1,625 | py | Python | mushroom_rl/utils/features.py | PuzeLiu/mushroom-rl | 99942b425e66b4ddcc26009d7105dde23841e95d | [
"MIT"
] | 344 | 2020-01-10T09:45:02.000Z | 2022-03-30T09:48:28.000Z | mushroom_rl/utils/features.py | AmmarFahmy/mushroom-rl | 2625ee7f64d5613b3b9fba00f0b7a39fece88ca5 | [
"MIT"
] | 44 | 2020-01-23T03:00:56.000Z | 2022-03-25T17:14:22.000Z | mushroom_rl/utils/features.py | AmmarFahmy/mushroom-rl | 2625ee7f64d5613b3b9fba00f0b7a39fece88ca5 | [
"MIT"
] | 93 | 2020-01-10T21:17:58.000Z | 2022-03-31T17:58:52.000Z | import numpy as np
def uniform_grid(n_centers, low, high):
"""
This function is used to create the parameters of uniformly spaced radial
basis functions with 25% of overlap. It creates a uniformly spaced grid of
``n_centers[i]`` points in each ``ranges[i]``. Also returns a vector
containing the ap... | 27.083333 | 78 | 0.547077 | import numpy as np
def uniform_grid(n_centers, low, high):
"""
This function is used to create the parameters of uniformly spaced radial
basis functions with 25% of overlap. It creates a uniformly spaced grid of
``n_centers[i]`` points in each ``ranges[i]``. Also returns a vector
containing the ap... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c9d22a7bf9b5dc1a732883747a14d59630652d12 | 16,528 | py | Python | inquiry_artifacts.py | saadxan/ExchangeBuddy | 5fa8b67feb8517fcb170b5207af6dbee864921d5 | [
"MIT"
] | null | null | null | inquiry_artifacts.py | saadxan/ExchangeBuddy | 5fa8b67feb8517fcb170b5207af6dbee864921d5 | [
"MIT"
] | null | null | null | inquiry_artifacts.py | saadxan/ExchangeBuddy | 5fa8b67feb8517fcb170b5207af6dbee864921d5 | [
"MIT"
] | null | null | null | import PyQt5.QtCore as QtCore
import PyQt5.QtGui as QtGui
import PyQt5.QtWidgets as QtWidgets
| 35.391863 | 120 | 0.615138 | from PyQt5.QtChart import *
import PyQt5.QtCore as QtCore
import PyQt5.QtGui as QtGui
import PyQt5.QtWidgets as QtWidgets
import config
import nav
import yfinance as yf
class ReturnButton(QtWidgets.QPushButton):
def __init__(self):
super(ReturnButton, self).__init__("Return")
self.clicked.connec... | 0 | 0 | 0 | 15,850 | 0 | 172 | 0 | -13 | 411 |
ac895a9dfd95f6ee6833018750b52a1c10056528 | 2,206 | py | Python | tryalgo/dinic.py | xcarcelle/tryalgo | c159fbffbea0a4e8b70e8898c31c62c7e08a3865 | [
"MIT"
] | null | null | null | tryalgo/dinic.py | xcarcelle/tryalgo | c159fbffbea0a4e8b70e8898c31c62c7e08a3865 | [
"MIT"
] | null | null | null | tryalgo/dinic.py | xcarcelle/tryalgo | c159fbffbea0a4e8b70e8898c31c62c7e08a3865 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Maximum flow by Dinic
# jill-jnn vie et christoph drr - 2015-2018
from collections import deque
from sys import setrecursionlimit
from tryalgo.graph import add_reverse_arcs
setrecursionlimit(5010) # necessary for big graphs
# snip{
def dinic(graph, capacity, sourc... | 31.070423 | 76 | 0.560743 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Maximum flow by Dinic
# jill-jênn vie et christoph dürr - 2015-2018
from collections import deque
from sys import setrecursionlimit
from tryalgo.graph import add_reverse_arcs
setrecursionlimit(5010) # necessary for big graphs
# snip{
def dinic(graph, capacity, sou... | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6a518aff98243781610501ac5c19e19219a5d6bf | 17,572 | py | Python | examples/pytorch/text-classification/run_xnli.py | bugface/transformers | ba286fe7d51db12ad663effac83bed8199dd7141 | [
"Apache-2.0"
] | 5 | 2020-09-01T09:15:48.000Z | 2020-09-15T03:25:05.000Z | examples/pytorch/text-classification/run_xnli.py | bugface/transformers | ba286fe7d51db12ad663effac83bed8199dd7141 | [
"Apache-2.0"
] | 2 | 2022-03-08T04:58:59.000Z | 2022-03-19T03:45:14.000Z | examples/pytorch/text-classification/run_xnli.py | bugface/transformers | ba286fe7d51db12ad663effac83bed8199dd7141 | [
"Apache-2.0"
] | 3 | 2020-08-20T04:46:25.000Z | 2020-10-14T08:39:13.000Z | #!/usr/bin/env python
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
... | 39.665914 | 119 | 0.66936 | #!/usr/bin/env python
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
... | 0 | 4,140 | 0 | 0 | 0 | 11,527 | 0 | 275 | 313 |
0d6a499f18fa307168dbe254580e20c8d352547c | 2,243 | py | Python | spar_python/data_generation/progress_reporters.py | nathanawmk/SPARTA | 6eeb28b2dd147088b6e851876b36eeba3e700f16 | [
"BSD-2-Clause"
] | 37 | 2017-06-09T13:55:23.000Z | 2022-01-28T12:51:17.000Z | spar_python/data_generation/progress_reporters.py | nathanawmk/SPARTA | 6eeb28b2dd147088b6e851876b36eeba3e700f16 | [
"BSD-2-Clause"
] | null | null | null | spar_python/data_generation/progress_reporters.py | nathanawmk/SPARTA | 6eeb28b2dd147088b6e851876b36eeba3e700f16 | [
"BSD-2-Clause"
] | 5 | 2017-06-09T13:55:26.000Z | 2021-11-11T03:51:56.000Z | # *****************************************************************
# Copyright 2015 MIT Lincoln Laboratory
# Project: SPAR
# Authors: JCH
# Description: Various classes to inform user of progress
#
# Modifications:
# Date Name Modification
# ---- ---- ... | 32.507246 | 75 | 0.544806 | # *****************************************************************
# Copyright 2015 MIT Lincoln Laboratory
# Project: SPAR
# Authors: JCH
# Description: Various classes to inform user of progress
#
# Modifications:
# Date Name Modification
# ---- ---- ... | 0 | 0 | 0 | 1,379 | 0 | 0 | 0 | -6 | 46 |
9902f0b6820f734ff15a736daf7d31ba2b2b9405 | 10,053 | py | Python | better_storylines/src/models.py | pedersor/google-research | 6fa751dd261b3f6d918fd2cd35efef5d8bf3eea6 | [
"Apache-2.0"
] | null | null | null | better_storylines/src/models.py | pedersor/google-research | 6fa751dd261b3f6d918fd2cd35efef5d8bf3eea6 | [
"Apache-2.0"
] | null | null | null | better_storylines/src/models.py | pedersor/google-research | 6fa751dd261b3f6d918fd2cd35efef5d8bf3eea6 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 38.079545 | 79 | 0.693723 | # coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 0 | 9,184 | 0 | 0 | 0 | 0 | 0 | -8 | 137 |
a31127b72b7d21ee24259615b6d11002355968cb | 1,513 | py | Python | Structural/composite.py | TheVikingGent/DesignPatterns4Python | ace9f577d9700fe290d80822230acb8e87833bc2 | [
"MIT"
] | null | null | null | Structural/composite.py | TheVikingGent/DesignPatterns4Python | ace9f577d9700fe290d80822230acb8e87833bc2 | [
"MIT"
] | null | null | null | Structural/composite.py | TheVikingGent/DesignPatterns4Python | ace9f577d9700fe290d80822230acb8e87833bc2 | [
"MIT"
] | null | null | null | # Good old composite pattern
# This is used when we want to create a hierachy of instances that contain other instances,
# but we want to operate on all instances somewhat equally
# Here the composite instances can contain other composites or leafs
# All implement the operation method, where the composite will be sure... | 26.086207 | 91 | 0.682089 | import abc
# Good old composite pattern
# This is used when we want to create a hierachy of instances that contain other instances,
# but we want to operate on all instances somewhat equally
# Here the composite instances can contain other composites or leafs
# All implement the operation method, where the composite w... | 0 | 0 | 0 | 729 | 0 | 0 | 0 | -11 | 91 |
d6b0e492861296d87420523ace08720910f389af | 735 | py | Python | bin/change_table_engine.py | Osso/dotfiles | 26a079e140f9f9ba8117d42aa25a049807965093 | [
"MIT"
] | 3 | 2017-04-21T20:56:10.000Z | 2019-06-10T09:24:14.000Z | bin/change_table_engine.py | Osso/dotfiles | 26a079e140f9f9ba8117d42aa25a049807965093 | [
"MIT"
] | null | null | null | bin/change_table_engine.py | Osso/dotfiles | 26a079e140f9f9ba8117d42aa25a049807965093 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
engine = 'innodb'
host = 'localhost'
db_name = ''
user = ''
passwd = ''
skip_tables = ()
import MySQLdb
db = MySQLdb.connect(user=user, passwd=passwd, db=db_name, host=host)
c = db.cursor()
c.execute("show tables")
row = c.fetchone()
while row:
table = row[0]
print 'Converting Table: %... | 23.709677 | 116 | 0.623129 | #!/usr/bin/env python
engine = 'innodb'
host = 'localhost'
db_name = ''
user = ''
passwd = ''
skip_tables = ()
import MySQLdb
db = MySQLdb.connect(user=user, passwd=passwd, db=db_name, host=host)
c = db.cursor()
c.execute("show tables")
row = c.fetchone()
while row:
table = row[0]
print 'Converting Table: %... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b72d18c6f62c214e3983921081d4f4cd19c26629 | 247 | py | Python | codechef/may_long_challenge/bella-ciao.py | abhishek-parashar/Right-From-Scratch | e596344b0db95cfdeba876676885f062ef5f7c23 | [
"Apache-2.0"
] | null | null | null | codechef/may_long_challenge/bella-ciao.py | abhishek-parashar/Right-From-Scratch | e596344b0db95cfdeba876676885f062ef5f7c23 | [
"Apache-2.0"
] | null | null | null | codechef/may_long_challenge/bella-ciao.py | abhishek-parashar/Right-From-Scratch | e596344b0db95cfdeba876676885f062ef5f7c23 | [
"Apache-2.0"
] | null | null | null | t = int(input())
while(t>0):
a=list(map(int,input().split(' ')))
D=a[0]
d=a[1]
p=a[2]
q=a[3]
remainder=D%d
n=D//d
value=(n*p*d) + (d*q*(n*(n-1)//2))+(p*remainder+(remainder*q*n))
print(value,"\n")
t=t-1
| 19 | 68 | 0.453441 | t = int(input())
while(t>0):
a=list(map(int,input().split(' ')))
D=a[0]
d=a[1]
p=a[2]
q=a[3]
remainder=D%d
n=D//d
value=(n*p*d) + (d*q*(n*(n-1)//2))+(p*remainder+(remainder*q*n))
print(value,"\n")
t=t-1
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
42a0c1b65965757cd699b5f4010098cef1cf0aa6 | 1,506 | py | Python | twoject/urls.py | Daniel-Muruthi/poladapi | 6a7c6d7a78f66c3ae2a2fdf6bebfc68c009aee36 | [
"MIT"
] | null | null | null | twoject/urls.py | Daniel-Muruthi/poladapi | 6a7c6d7a78f66c3ae2a2fdf6bebfc68c009aee36 | [
"MIT"
] | null | null | null | twoject/urls.py | Daniel-Muruthi/poladapi | 6a7c6d7a78f66c3ae2a2fdf6bebfc68c009aee36 | [
"MIT"
] | null | null | null | """twoject URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based... | 41.833333 | 82 | 0.73838 | """twoject URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 87 | 66 |
4017feb743106024d7f6df30d888f397fc590313 | 1,640 | py | Python | src/stat_logger.py | Waterkin/stocknet-code | 6df878b599963e9fe31603dd55f78fd56e92f7d9 | [
"MIT"
] | null | null | null | src/stat_logger.py | Waterkin/stocknet-code | 6df878b599963e9fe31603dd55f78fd56e92f7d9 | [
"MIT"
] | null | null | null | src/stat_logger.py | Waterkin/stocknet-code | 6df878b599963e9fe31603dd55f78fd56e92f7d9 | [
"MIT"
] | null | null | null | '''
Date: 2022-01-11 16:05:39
LastEditors: Waterking
LastEditTime: 2022-01-12 18:21:49
FilePath: /stocknet-code/src/stat_logger.py
'''
#!/usr/local/bin/python
import metrics as metrics
| 38.139535 | 142 | 0.681707 | '''
Date: 2022-01-11 16:05:39
LastEditors: Waterking
LastEditTime: 2022-01-12 18:21:49
FilePath: /stocknet-code/src/stat_logger.py
'''
#!/usr/local/bin/python
import metrics as metrics
from ConfigLoader import logger
def print_batch_stat(n_iter, train_batch_loss, train_batch_n_acc, train_batch_size):
iter_str = '... | 0 | 0 | 0 | 0 | 0 | 1,351 | 0 | 10 | 91 |
6b3f6344429debb4b2157d0a395536e9054d9037 | 59,437 | py | Python | rpm_s3/vendor/createrepo/createrepo/__init__.py | stackstate-lab/rpm-s3 | 6c7929fc6034a93787ab5596876c8d00826486db | [
"BSD-2-Clause"
] | null | null | null | rpm_s3/vendor/createrepo/createrepo/__init__.py | stackstate-lab/rpm-s3 | 6c7929fc6034a93787ab5596876c8d00826486db | [
"BSD-2-Clause"
] | null | null | null | rpm_s3/vendor/createrepo/createrepo/__init__.py | stackstate-lab/rpm-s3 | 6c7929fc6034a93787ab5596876c8d00826486db | [
"BSD-2-Clause"
] | null | null | null | # This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# bu... | 41.88654 | 536 | 0.549876 | # This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# bu... | 0 | 0 | 0 | 57,618 | 0 | 0 | 0 | 198 | 707 |
0eeccddff39a938a9bf70a0b4760664618aed5eb | 11,176 | py | Python | BERT/bert_utils.py | HenryPaik1/paper_implement | fe1204209ab0830d8c58618218a8f2c0a1325721 | [
"MIT"
] | null | null | null | BERT/bert_utils.py | HenryPaik1/paper_implement | fe1204209ab0830d8c58618218a8f2c0a1325721 | [
"MIT"
] | null | null | null | BERT/bert_utils.py | HenryPaik1/paper_implement | fe1204209ab0830d8c58618218a8f2c0a1325721 | [
"MIT"
] | null | null | null | import numpy as np
import torch
import torch.nn as nn
import json
def create_pretrain_mask(tokens, mask_cnt, vocab_list):
"""
masking subwords(15% of entire subwords)
- mask_cnt: len(subwords) * 0.15
- [MASK]: 80% of masking candidate token
- original token: 10% of masking candidate token
- ano... | 38.013605 | 114 | 0.548676 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import Dataset, DataLoader
import json
def create_pretrain_mask(tokens, mask_cnt, vocab_list):
"""
masking subwords(15% of entire subwords)
- mask_cnt: len(subwords) * 0.15
- [MASK]: 80% of maski... | 96 | 0 | 0 | 1,736 | 0 | 761 | 0 | 37 | 110 |
bda34656d83aebce4f85163d20f15b0987373b21 | 735 | py | Python | covidscholar_web/scraping/journal_prediction.py | COVID-19-Text-Mining/website | d0314290d61431ddf694d64d96fb15fc872110cd | [
"MIT"
] | null | null | null | covidscholar_web/scraping/journal_prediction.py | COVID-19-Text-Mining/website | d0314290d61431ddf694d64d96fb15fc872110cd | [
"MIT"
] | null | null | null | covidscholar_web/scraping/journal_prediction.py | COVID-19-Text-Mining/website | d0314290d61431ddf694d64d96fb15fc872110cd | [
"MIT"
] | null | null | null | from matscholar import Rester
import bson
import tqdm
import os
import pymongo
client = pymongo.MongoClient('mongodb+srv://%s:%s@matstract-kve41.mongodb.net/test:27017' %
(os.getenv('ATLAS_USER_RW'), os.getenv('ATLAS_USER_PASSWORD_RW')), authSource='admin')
db = client['matstract_db']
c = ... | 26.25 | 115 | 0.647619 | from matscholar import Rester
import bson
import tqdm
import os
import pymongo
client = pymongo.MongoClient('mongodb+srv://%s:%s@matstract-kve41.mongodb.net/test:27017' %
(os.getenv('ATLAS_USER_RW'), os.getenv('ATLAS_USER_PASSWORD_RW')), authSource='admin')
db = client['matstract_db']
c = ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
637ffeeae8697f699c352d40c502c391e37f239e | 6,353 | py | Python | opensnips/old/docker-images/rasa/snips_services/rasa_snips_extensions.py | syntithenai/opensnips | dd3dc629082ab8400da6fcdbf7d4ad5baf877848 | [
"BSD-2-Clause"
] | 57 | 2017-12-28T22:50:20.000Z | 2022-01-25T16:05:36.000Z | opensnips/old/docker-images/rasa/snips_services/rasa_snips_extensions.py | syntithenai/opensnips | dd3dc629082ab8400da6fcdbf7d4ad5baf877848 | [
"BSD-2-Clause"
] | 28 | 2018-04-18T06:45:20.000Z | 2022-03-08T22:50:50.000Z | opensnips/old/docker-images/rasa/snips_services/rasa_snips_extensions.py | syntithenai/opensnips | dd3dc629082ab8400da6fcdbf7d4ad5baf877848 | [
"BSD-2-Clause"
] | 18 | 2017-12-27T01:57:14.000Z | 2021-03-02T14:13:06.000Z | #!/usr/local/bin/python
# -*-: coding utf-8 -*-
""" Snips core and nlu server. """
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
# Customised Agent class to use custom SnipsDomain and pass core server thro... | 43.217687 | 186 | 0.668031 | #!/usr/local/bin/python
# -*-: coding utf-8 -*-
""" Snips core and nlu server. """
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from rasa_core.agent import Agent
import os
import os.path
import re
from rasa_core.do... | 0 | 2,996 | 0 | 2,145 | 0 | 0 | 0 | 336 | 404 |
5d0af14cacf81bc84d5e76077f5732b56de324b1 | 4,688 | py | Python | mainBIDIRLSTM.py | SqrtPapere/SentimentAnalysis_CNN | e802780c8f7b6747832cb53b9a4391e9494c73a7 | [
"MIT"
] | 17 | 2018-02-02T14:09:23.000Z | 2020-08-06T21:02:49.000Z | mainBIDIRLSTM.py | SqrtPapere/SentimentAnalysis_CNN | e802780c8f7b6747832cb53b9a4391e9494c73a7 | [
"MIT"
] | null | null | null | mainBIDIRLSTM.py | SqrtPapere/SentimentAnalysis_CNN | e802780c8f7b6747832cb53b9a4391e9494c73a7 | [
"MIT"
] | 1 | 2018-09-10T21:33:14.000Z | 2018-09-10T21:33:14.000Z |
# https://machinelearningmastery.com/predict-sentiment-movie-reviews-using-deep-learning/
import numpy as np
from keras.preprocessing.sequence import pad_sequences
from keras.callbacks import EarlyStopping, TensorBoard, ModelCheckpoint
from keras.layers import Embedding, Dense, Input, Dropout
from keras.models import... | 32.783217 | 337 | 0.760666 |
# https://machinelearningmastery.com/predict-sentiment-movie-reviews-using-deep-learning/
import os
import numpy as np
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.utils import to_categorical
from keras.callbacks import EarlyStopping, TensorBoard, Mo... | 8 | 0 | 0 | 0 | 0 | 484 | 0 | 71 | 113 |
db1ac4b09e1eda87653b1a76cc69bb491c457300 | 602 | py | Python | atools/lib/moieties/multiple_ports/nh.py | dubosese/atools | 9d6f9e08310f3abb62aa6ec9e6003dcf9b87b513 | [
"MIT"
] | null | null | null | atools/lib/moieties/multiple_ports/nh.py | dubosese/atools | 9d6f9e08310f3abb62aa6ec9e6003dcf9b87b513 | [
"MIT"
] | null | null | null | atools/lib/moieties/multiple_ports/nh.py | dubosese/atools | 9d6f9e08310f3abb62aa6ec9e6003dcf9b87b513 | [
"MIT"
] | 3 | 2020-05-11T15:56:03.000Z | 2021-08-19T01:16:26.000Z |
if __name__ == '__main__':
nh = NH()
| 27.363636 | 76 | 0.518272 | import mbuild as mb
class NH(mb.Compound):
"""A nitrogen with a hydrogen and two open ports. """
def __init__(self):
super(NH, self).__init__()
mb.load('nh.pdb', compound=self, relative_to_module=self.__module__)
self.translate(-self[0].pos)
self.add(mb.Port(anchor=self[0],
... | 0 | 0 | 0 | 516 | 0 | 0 | 0 | -2 | 45 |
68ba827dc155847247b30954d6c05b08b801fa7d | 1,287 | py | Python | ThreeBotPackages/threebot/blog/package.py | Pishoy/jumpscaleX_threebot | 781e839857fecfa601a31d98d86d304e3a6b3b4e | [
"Apache-2.0"
] | null | null | null | ThreeBotPackages/threebot/blog/package.py | Pishoy/jumpscaleX_threebot | 781e839857fecfa601a31d98d86d304e3a6b3b4e | [
"Apache-2.0"
] | null | null | null | ThreeBotPackages/threebot/blog/package.py | Pishoy/jumpscaleX_threebot | 781e839857fecfa601a31d98d86d304e3a6b3b4e | [
"Apache-2.0"
] | null | null | null |
__version__ = "0.0.1"
| 27.382979 | 65 | 0.609169 | from Jumpscale import j
import os
__version__ = "0.0.1"
class Package(j.baseclasses.threebot_package):
def _init(self, **kwargs):
self.branch = kwargs["package"].branch or "master"
os.environ["dev"] = "0"
self.DEV = os.environ.get("dev")
def prepare(self):
j.builders.runtimes... | 0 | 0 | 0 | 1,206 | 0 | 0 | 0 | -10 | 67 |
b4bb3da2bc5ad348643bcaf9d44ca34ee09b2c5d | 15,534 | py | Python | instrosetta/interfaces/optomechanics/filter_wheel_pb2_grpc.py | jmosbacher/instrosetta-python | b323ee4d3db0b7d8e22ec731dac521c967e5323d | [
"MIT"
] | null | null | null | instrosetta/interfaces/optomechanics/filter_wheel_pb2_grpc.py | jmosbacher/instrosetta-python | b323ee4d3db0b7d8e22ec731dac521c967e5323d | [
"MIT"
] | null | null | null | instrosetta/interfaces/optomechanics/filter_wheel_pb2_grpc.py | jmosbacher/instrosetta-python | b323ee4d3db0b7d8e22ec731dac521c967e5323d | [
"MIT"
] | null | null | null | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
| 57.962687 | 143 | 0.810609 | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc
from instrosetta.interfaces.optomechanics import filter_wheel_pb2 as instrosetta_dot_interfaces_dot_optomechanics_dot_filter__wheel__pb2
class FilterWheelStub(object):
# missing associated documentation comment in .proto file
pass
... | 0 | 0 | 0 | 9,822 | 0 | 5,420 | 0 | 105 | 114 |
fa6cf6b2736d1fc6ebd9c3b07176a84c77cb8f2b | 3,274 | py | Python | Discrete_Structures/Exams/Exam_Ch_05_Sequences/Fibo_Exam.py | DoctorOac/SwosuCsPythonExamples | 07476b9b4ef9a6f8bd68921aef19e8f00183b1e7 | [
"Apache-2.0"
] | null | null | null | Discrete_Structures/Exams/Exam_Ch_05_Sequences/Fibo_Exam.py | DoctorOac/SwosuCsPythonExamples | 07476b9b4ef9a6f8bd68921aef19e8f00183b1e7 | [
"Apache-2.0"
] | null | null | null | Discrete_Structures/Exams/Exam_Ch_05_Sequences/Fibo_Exam.py | DoctorOac/SwosuCsPythonExamples | 07476b9b4ef9a6f8bd68921aef19e8f00183b1e7 | [
"Apache-2.0"
] | null | null | null | print('hello')
"""
Compare the number of operations and the time needed
to compute Fibonacci numbers recursively versus that
needed to compute them iteratively
"""
# recursive work
# Python program to display the Fibonacci sequence
import time
recursive_data = Data_tracker()
number_of_terms = 40
recursive_data.s... | 27.745763 | 87 | 0.703726 | print('hello')
"""
Compare the number of operations and the time needed
to compute Fibonacci numbers recursively versus that
needed to compute them iteratively
"""
class Data_tracker:
def __init__(self):
self.data = []
self.number_of_times_function_called = 0
self.if_count = 0
self... | 0 | 0 | 0 | 1,094 | 0 | 373 | 0 | 0 | 46 |
2bc0aff7c339f85f8d7761d9cc25bcfe9cb86616 | 23,532 | py | Python | commands/arch/network.py | naterh/openstack-guest-agents-unix | b6262b190d355f6469d95f462be0db53e3eb7ede | [
"Apache-2.0"
] | 15 | 2015-01-06T21:58:24.000Z | 2018-11-27T09:34:14.000Z | commands/arch/network.py | naterh/openstack-guest-agents-unix | b6262b190d355f6469d95f462be0db53e3eb7ede | [
"Apache-2.0"
] | 9 | 2015-03-06T02:11:29.000Z | 2021-03-13T07:13:45.000Z | commands/arch/network.py | naterh/openstack-guest-agents-unix | b6262b190d355f6469d95f462be0db53e3eb7ede | [
"Apache-2.0"
] | 18 | 2015-03-05T21:28:09.000Z | 2020-09-16T11:07:21.000Z | # vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (c) 2011 Openstack, LLC.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www... | 31.8 | 91 | 0.582738 | # vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (c) 2011 Openstack, LLC.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www... | 0 | 0 | 0 | 0 | 0 | 11,829 | 0 | 0 | 184 |
59a26a64c2087146b79e13ddeb5f087f09ca346a | 405 | py | Python | 2019/day8/day8p2.py | darkterbear/advent-of-code-2015 | 543d5a70c4b4c84081602cfa3d0ba05fe0693e54 | [
"MIT"
] | null | null | null | 2019/day8/day8p2.py | darkterbear/advent-of-code-2015 | 543d5a70c4b4c84081602cfa3d0ba05fe0693e54 | [
"MIT"
] | 2 | 2019-12-01T20:03:18.000Z | 2021-05-11T22:41:00.000Z | 2019/day8/day8p2.py | darkterbear/advent-of-code-2015 | 543d5a70c4b4c84081602cfa3d0ba05fe0693e54 | [
"MIT"
] | null | null | null | file = open('./input')
w = 25
h = 6
ppl = 25 * 6
line = file.readline()
layers = []
for start in range(0, len(line), ppl):
layer = line[start:start+ppl]
layers.append([int(pixel) for pixel in layer])
img = []
for i in range(ppl):
for layer in layers:
if layer[i] != 2:
img.append(lay... | 16.875 | 50 | 0.548148 | file = open('./input')
w = 25
h = 6
ppl = 25 * 6
line = file.readline()
layers = []
for start in range(0, len(line), ppl):
layer = line[start:start+ppl]
layers.append([int(pixel) for pixel in layer])
img = []
for i in range(ppl):
for layer in layers:
if layer[i] != 2:
img.append(lay... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1341ac4d38b8fda3bf9982fdf4b559b6ffc792e4 | 7,383 | py | Python | sdk/python/pulumi_azure_native/media/v20200201preview/media_graph.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/media/v20200201preview/media_graph.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/media/v20200201preview/media_graph.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import pulumi
from ... import _utilities, _tables
__all__ = ['MediaGraph']
| 40.565934 | 372 | 0.63592 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... | 0 | 2,438 | 0 | 4,511 | 0 | 0 | 0 | 32 | 156 |
b7f149b954644c463a51e9ebf379826302cf2926 | 3,210 | py | Python | Algo and DSA/LeetCode-Solutions-master/Python/word-ladder-ii.py | Sourav692/FAANG-Interview-Preparation | f523e5c94d582328b3edc449ea16ac6ab28cdc81 | [
"Unlicense"
] | 3,269 | 2018-10-12T01:29:40.000Z | 2022-03-31T17:58:41.000Z | Algo and DSA/LeetCode-Solutions-master/Python/word-ladder-ii.py | Sourav692/FAANG-Interview-Preparation | f523e5c94d582328b3edc449ea16ac6ab28cdc81 | [
"Unlicense"
] | 53 | 2018-12-16T22:54:20.000Z | 2022-02-25T08:31:20.000Z | Algo and DSA/LeetCode-Solutions-master/Python/word-ladder-ii.py | Sourav692/FAANG-Interview-Preparation | f523e5c94d582328b3edc449ea16ac6ab28cdc81 | [
"Unlicense"
] | 1,236 | 2018-10-12T02:51:40.000Z | 2022-03-30T13:30:37.000Z | # Time: O(b^(d/2)), b is the branch factor of bfs, d is the result depth
# Space: O(w * l), w is the number of words, l is the max length of words
# Time: O(b^d), b is the branch factor of bfs, d is the result depth
# Space: O(w * l), w is the number of words, l is the max length of words
| 36.477273 | 153 | 0.523364 | # Time: O(b^(d/2)), b is the branch factor of bfs, d is the result depth
# Space: O(w * l), w is the number of words, l is the max length of words
from collections import defaultdict
from string import ascii_lowercase
class Solution(object):
def findLadders(self, beginWord, endWord, wordList):
"""
... | 0 | 0 | 0 | 2,798 | 0 | 0 | 0 | 27 | 90 |
52fc3fbf8e15f41bb79aedf817ef0eba6c4362d9 | 551 | py | Python | app.py | patbahls/simple-slash-commands | feba84924db94d478c104108a245a4e120009a6a | [
"Apache-2.0"
] | null | null | null | app.py | patbahls/simple-slash-commands | feba84924db94d478c104108a245a4e120009a6a | [
"Apache-2.0"
] | null | null | null | app.py | patbahls/simple-slash-commands | feba84924db94d478c104108a245a4e120009a6a | [
"Apache-2.0"
] | null | null | null | from bottle import run
import os
if __name__ == '__main__':
port_config = int(os.getenv('PORT', 5000))
run(host='0.0.0.0', port=port_config)
| 26.238095 | 79 | 0.678766 | from bottle import run,post,request,response,route
import os
import urllib
@post('/test')
def simple_test():
return "Hello World!"
@route('/path',method="post")
def gen_path_3():
postdata = request.forms.get("text")
output_path = str("sndwserv:/" + urllib.quote(postdata))
package = {"response_type": "... | 0 | 312 | 0 | 0 | 0 | 0 | 0 | 20 | 68 |
99037d2d3a9ce73ad64ac10eb1f078ef701d0abc | 921 | py | Python | main.py | Fabricio872/popcorn-detector | 7ebf92a05d9761632ef63db5ebfbe61791b25e1f | [
"MIT"
] | null | null | null | main.py | Fabricio872/popcorn-detector | 7ebf92a05d9761632ef63db5ebfbe61791b25e1f | [
"MIT"
] | null | null | null | main.py | Fabricio872/popcorn-detector | 7ebf92a05d9761632ef63db5ebfbe61791b25e1f | [
"MIT"
] | null | null | null |
duration = 50 # in seconds
warmup_time = 2 # in seconds
max_pop_time = 3 # in seconds time
pop_threshold = 15 # in volume units
min_pop_time = 512 # in milliseconds
pop_times = []
if __name__ == '__main__':
main()
| 24.236842 | 88 | 0.648208 | import time as time_lib
import numpy as np
import sounddevice as sd
duration = 50 # in seconds
warmup_time = 2 # in seconds
max_pop_time = 3 # in seconds time
pop_threshold = 15 # in volume units
min_pop_time = 512 # in milliseconds
pop_times = []
def pop_time():
return time_lib.time() - pop_times[-1]
de... | 0 | 0 | 0 | 0 | 0 | 554 | 0 | 2 | 136 |
13b4db6faf2877c8928a23eab3d719532df2d032 | 2,076 | py | Python | RBM/Function.py | Shoeboxam/Neural_Network | 61da4c2e4f6603a08042612d5ff2fe334ee7b20f | [
"MIT"
] | 3 | 2017-03-11T07:21:46.000Z | 2017-09-01T20:12:06.000Z | RBM/Function.py | Shoeboxam/Neural_Network | 61da4c2e4f6603a08042612d5ff2fe334ee7b20f | [
"MIT"
] | null | null | null | RBM/Function.py | Shoeboxam/Neural_Network | 61da4c2e4f6603a08042612d5ff2fe334ee7b20f | [
"MIT"
] | null | null | null | # Functions specific to restricted boltzmann machines
# Adapted from MFP/Functions.py
import numpy as np
# BASIS FUNCTIONS: Regression
# Diagonalize first dimension of an n-dimensional array
tau = 1 # Sigmoid threshold unit
basis_logistic = Function('basis', 'logistic', # Commonly known as 'Sigmoid'
... | 31.454545 | 107 | 0.545279 | # Functions specific to restricted boltzmann machines
# Adapted from MFP/Functions.py
import numpy as np
class Function(object):
def __init__(self, usage, name, evaluators):
self.usage = usage
self.name = name
self._evaluator = evaluators
def __call__(self, *args, d=0):
# The... | 0 | 0 | 0 | 427 | 0 | 56 | 0 | 0 | 45 |
5d50bf14a02af4c7549f9d42e27dbbd297324aa3 | 367 | py | Python | manet/data/__init__.py | jonasteuwen/manet-old | fb20c98f7e5c89a5ffe89d851ee84e7b65c5e229 | [
"BSD-2-Clause"
] | 1 | 2021-02-23T04:51:19.000Z | 2021-02-23T04:51:19.000Z | manet/data/__init__.py | jonasteuwen/manet-old | fb20c98f7e5c89a5ffe89d851ee84e7b65c5e229 | [
"BSD-2-Clause"
] | null | null | null | manet/data/__init__.py | jonasteuwen/manet-old | fb20c98f7e5c89a5ffe89d851ee84e7b65c5e229 | [
"BSD-2-Clause"
] | 1 | 2021-02-23T04:51:20.000Z | 2021-02-23T04:51:20.000Z | # encoding: utf-8
| 22.9375 | 77 | 0.683924 | # encoding: utf-8
from manet.utils import read_image
import os
def curr_path(fn):
dirname = os.path.dirname(os.path.realpath(__file__))
return os.path.join(dirname, fn)
def prob_map(name='one'):
prob, metadata = read_image(curr_path('prediction_{}.nrrd'.format(name)))
prob = prob[0]
metadata['sp... | 0 | 0 | 0 | 0 | 0 | 256 | 0 | 1 | 90 |
01695a3f6dfb24dd21ee39aa1da81801ab132d5e | 621 | py | Python | src/cogs/ide/ide.py | Kraots/Jarvide | 75d8405dc836b1acf9c4b2abaf85fd769e6e424a | [
"MIT"
] | null | null | null | src/cogs/ide/ide.py | Kraots/Jarvide | 75d8405dc836b1acf9c4b2abaf85fd769e6e424a | [
"MIT"
] | null | null | null | src/cogs/ide/ide.py | Kraots/Jarvide | 75d8405dc836b1acf9c4b2abaf85fd769e6e424a | [
"MIT"
] | null | null | null | from disnake.ext import commands
def setup(bot: commands.Bot) -> None:
"""Setup Ide cog"""
bot.add_cog(Ide(bot))
| 24.84 | 80 | 0.671498 | from .dialogs import OpenView
from src.utils import EmbedFactory
from disnake.ext import commands
class Ide(commands.Cog):
"""Ide cog"""
def __init__(self, bot: commands.Bot):
self.bot = bot
@commands.command()
@commands.max_concurrency(1, commands.BucketType.channel)
async def ide(self,... | 0 | 293 | 0 | 115 | 0 | 0 | 0 | 21 | 67 |
7ed307be5ec1a721f724f1bc0d44636969fa0963 | 957 | py | Python | deps/cmark/tools/make_entities_inc.py | cboettig/hash-archive | 2f50fdc2929f60447b00561901d59c4ce83651c3 | [
"MIT"
] | 1,212 | 2015-03-26T19:08:16.000Z | 2022-01-10T08:32:45.000Z | SymbolExtractorAndRenamer/cmark/tools/make_entities_inc.py | PolideaPlayground/SiriusObfuscator | b0e590d8130e97856afe578869b83a209e2b19be | [
"Apache-2.0"
] | 114 | 2015-03-26T18:30:53.000Z | 2017-07-21T16:25:36.000Z | SymbolExtractorAndRenamer/cmark/tools/make_entities_inc.py | PolideaPlayground/SiriusObfuscator | b0e590d8130e97856afe578869b83a209e2b19be | [
"Apache-2.0"
] | 76 | 2015-07-29T14:39:04.000Z | 2021-04-12T07:31:47.000Z | # Creates C data structures for binary lookup table of entities,
# using python's html5 entity data.
# Usage: python3 tools/make_entities_inc.py > src/entities.inc
import html
entities5 = html.entities.html5
# remove keys without semicolons. For some reason the list
# has duplicates of a few things, like auml, one ... | 29 | 101 | 0.69697 | # Creates C data structures for binary lookup table of entities,
# using python's html5 entity data.
# Usage: python3 tools/make_entities_inc.py > src/entities.inc
import html
entities5 = html.entities.html5
# remove keys without semicolons. For some reason the list
# has duplicates of a few things, like auml, one ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3b0460cc9b63041c3382b63ad2dae215e4a417a0 | 1,128 | py | Python | Python/LearnPythonTheHardWay/ex31.py | bryarcole/The-Portfolio | 62c2573ce4f007dccf5be1d67daf97286d6b4a5e | [
"MIT"
] | null | null | null | Python/LearnPythonTheHardWay/ex31.py | bryarcole/The-Portfolio | 62c2573ce4f007dccf5be1d67daf97286d6b4a5e | [
"MIT"
] | null | null | null | Python/LearnPythonTheHardWay/ex31.py | bryarcole/The-Portfolio | 62c2573ce4f007dccf5be1d67daf97286d6b4a5e | [
"MIT"
] | null | null | null | print "You enter a dark room with two doors. Do you go thorugh door #1 or door # 2"
door = raw_input(">" )
if door == "1":
print "Theres a giant bear here earting a cheescake. What do you do?"
print "Option '1'. Take the cake"
print "Option '2'. Scream at the bear."
bear = raw_input("> ")
if bea... | 34.181818 | 83 | 0.636525 | print "You enter a dark room with two doors. Do you go thorugh door #1 or door # 2"
door = raw_input(">" )
if door == "1":
print "Theres a giant bear here earting a cheescake. What do you do?"
print "Option '1'. Take the cake"
print "Option '2'. Scream at the bear."
bear = raw_input("> ")
if bea... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
216c7186aa0df89e03e4f63334c276700d96765c | 2,881 | py | Python | settings/Julich_chopper_modes_settings.py | bopopescu/Lauecollect | 60ae2b05ea8596ba0decf426e37aeaca0bc8b6be | [
"MIT"
] | null | null | null | settings/Julich_chopper_modes_settings.py | bopopescu/Lauecollect | 60ae2b05ea8596ba0decf426e37aeaca0bc8b6be | [
"MIT"
] | 1 | 2019-10-22T21:28:31.000Z | 2019-10-22T21:39:12.000Z | settings/Julich_chopper_modes_settings.py | bopopescu/Lauecollect | 60ae2b05ea8596ba0decf426e37aeaca0bc8b6be | [
"MIT"
] | 2 | 2019-06-06T15:06:46.000Z | 2020-07-20T02:03:22.000Z | line0.timing_system.channels.hsc.delay = 4.97e-06
line0.Phase [s] = 5.4527e-06
line0.ChopX = 36.78
line0.ChopY = 30.11
line0.description = 'S-1t'
line0.updated = '2019-05-30 14:18:48'
line1.timing_system.channels.hsc.delay = 0.0
line1.ChopX = 36.78
line1.ChopY = 31.136
line1.description = 'S-1'
line1.updated = '2019-05... | 33.5 | 94 | 0.737244 | line0.timing_system.channels.hsc.delay = 4.97e-06
line0.Phase [s] = 5.4527e-06
line0.ChopX = 36.78
line0.ChopY = 30.11
line0.description = 'S-1t'
line0.updated = '2019-05-30 14:18:48'
line1.timing_system.channels.hsc.delay = 0.0
line1.ChopX = 36.78
line1.ChopY = 31.136
line1.description = 'S-1'
line1.updated = '2019-05... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0f65b48452a107e448f515377b6c8ebc0545e05b | 1,520 | py | Python | example/classifier_shogun.py | vishalbelsare/jubakit | f6252ba627ce4e2e42eb9aafaaf05c882bc1c678 | [
"MIT"
] | 12 | 2016-04-11T04:49:08.000Z | 2019-02-08T01:43:46.000Z | example/classifier_shogun.py | vishalbelsare/jubakit | f6252ba627ce4e2e42eb9aafaaf05c882bc1c678 | [
"MIT"
] | 138 | 2016-04-11T05:57:48.000Z | 2020-09-26T03:09:31.000Z | example/classifier_shogun.py | vishalbelsare/jubakit | f6252ba627ce4e2e42eb9aafaaf05c882bc1c678 | [
"MIT"
] | 10 | 2016-04-11T03:18:45.000Z | 2018-04-14T10:11:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
"""
Using Classifier and String Features
========================================
This is a famous `shogun` classifier example that predicts family name
of Shogun from his first name.
"""
... | 27.142857 | 110 | 0.710526 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
"""
Using Classifier and String Features
========================================
This is a famous `shogun` classifier example that predicts family name
of Shogun from his first name.
"""
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e48653b6767ad90aa0abfd6ebe35c13ae15166f0 | 1,024 | py | Python | labs/lab-10/fileScale.py | schnur/oss-repo-template | d9e3ea7cae43dd1dd1ff7acef8b1249f3a95a848 | [
"MIT"
] | null | null | null | labs/lab-10/fileScale.py | schnur/oss-repo-template | d9e3ea7cae43dd1dd1ff7acef8b1249f3a95a848 | [
"MIT"
] | null | null | null | labs/lab-10/fileScale.py | schnur/oss-repo-template | d9e3ea7cae43dd1dd1ff7acef8b1249f3a95a848 | [
"MIT"
] | null | null | null | from PIL import Image
import matplotlib.pyplot as plt
import numpy as np
from PIL import ImageOps
'''def turnWhite(imageName, newName):
img = Image.open(imageName+'.png')
img = img.convert("RGBA")
datas = img.getdata()
newData = []
for item in datas:
if item[3]!=0:
newData.appe... | 22.26087 | 66 | 0.636719 | from PIL import Image
import matplotlib.pyplot as plt
import numpy as np
from PIL import ImageOps
'''def turnWhite(imageName, newName):
img = Image.open(imageName+'.png')
img = img.convert("RGBA")
datas = img.getdata()
newData = []
for item in datas:
if item[3]!=0:
newData.appe... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a636144d3d5c2b26863dc0a67f5fc0f3e314319a | 1,813 | py | Python | hemp/web/services/nso.py | nobuhikosekiya/sbx_multi_ios | 9a8e540617d46fd98f466d89e1f9af4f8a1797aa | [
"MIT"
] | 64 | 2018-08-18T01:13:18.000Z | 2021-12-09T17:46:35.000Z | hemp/web/services/nso.py | nobuhikosekiya/sbx_multi_ios | 9a8e540617d46fd98f466d89e1f9af4f8a1797aa | [
"MIT"
] | 45 | 2018-08-16T21:26:11.000Z | 2021-12-13T19:58:20.000Z | hemp/web/services/nso.py | nobuhikosekiya/sbx_multi_ios | 9a8e540617d46fd98f466d89e1f9af4f8a1797aa | [
"MIT"
] | 37 | 2018-09-23T04:09:53.000Z | 2021-11-11T16:39:37.000Z | import os
import requests
from base64 import b64encode
BASE_URL = os.getenv("NSO_URL", "http://localhost:8080")
API_ROOT = BASE_URL + '/api/running'
NSO_USERNAME = os.getenv("NSO_USERNAME", "admin")
NSO_PASSWORD = os.getenv("NSO_PASSWORD", "admin")
HEADERS = {
'Content-Type': "application/vnd.yang.data+json",
... | 32.375 | 73 | 0.599559 | import os
import requests
from base64 import b64encode
from flask import render_template
BASE_URL = os.getenv("NSO_URL", "http://localhost:8080")
API_ROOT = BASE_URL + '/api/running'
NSO_USERNAME = os.getenv("NSO_USERNAME", "admin")
NSO_PASSWORD = os.getenv("NSO_PASSWORD", "admin")
HEADERS = {
'Content-Type': "a... | 0 | 0 | 0 | 0 | 0 | 740 | 0 | 12 | 91 |
5963efd1925be94ab61751d8d9cca058c69ecbc8 | 1,453 | py | Python | scripts/vcftools_pi_region.py | godzilla-but-nicer/INFO590-term-project | 4c8270cfb667ef38c4c4bd5bd0c010949280ce75 | [
"MIT"
] | null | null | null | scripts/vcftools_pi_region.py | godzilla-but-nicer/INFO590-term-project | 4c8270cfb667ef38c4c4bd5bd0c010949280ce75 | [
"MIT"
] | null | null | null | scripts/vcftools_pi_region.py | godzilla-but-nicer/INFO590-term-project | 4c8270cfb667ef38c4c4bd5bd0c010949280ce75 | [
"MIT"
] | 1 | 2020-11-02T00:23:08.000Z | 2020-11-02T00:23:08.000Z | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import sys
# load a datafile, handle some command line args
smoothing = int(sys.argv[2]) # window size for smoothing
data_file = sys.argv[1]
name = data_file.split('/')[-1].split('.')[0] # used in output
df = pd.read_csv(data_file, index_col=None, ... | 33.790698 | 120 | 0.734343 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import sys
# load a datafile, handle some command line args
smoothing = int(sys.argv[2]) # window size for smoothing
data_file = sys.argv[1]
name = data_file.split('/')[-1].split('.')[0] # used in output
df = pd.read_csv(data_file, index_col=None, ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
77497299eae4d24d8b5e97a524c3c366fa1194ce | 678 | py | Python | app/__init__.py | toledoneto/sistema_login | 79223decd228c18f52bf8fed2b79361455ad7fa2 | [
"MIT"
] | null | null | null | app/__init__.py | toledoneto/sistema_login | 79223decd228c18f52bf8fed2b79361455ad7fa2 | [
"MIT"
] | null | null | null | app/__init__.py | toledoneto/sistema_login | 79223decd228c18f52bf8fed2b79361455ad7fa2 | [
"MIT"
] | null | null | null | from bottle import Bottle, TEMPLATE_PATH
from bottle.ext import sqlalchemy
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
#from sqlalchemy.orm import sessionmaker
Base = declarative_base()
engine = create_engine('sqlite:///database.db', echo = True)
#create_session... | 28.25 | 61 | 0.699115 | from bottle import Bottle, TEMPLATE_PATH
from bottle.ext import sqlalchemy
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
#from sqlalchemy.orm import sessionmaker
Base = declarative_base()
engine = create_engine('sqlite:///database.db', echo = True)
#create_session... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 47 |
944b1a4eae46848bf72f467c30cdf93199d1913b | 211 | py | Python | plgx-esp/tests/test_celery/test_celery.py | eclecticiq/eiq-er-ce | ebb12d5c4e0ee144f8166576924b8ce8dc5dfc94 | [
"MIT"
] | null | null | null | plgx-esp/tests/test_celery/test_celery.py | eclecticiq/eiq-er-ce | ebb12d5c4e0ee144f8166576924b8ce8dc5dfc94 | [
"MIT"
] | null | null | null | plgx-esp/tests/test_celery/test_celery.py | eclecticiq/eiq-er-ce | ebb12d5c4e0ee144f8166576924b8ce8dc5dfc94 | [
"MIT"
] | 2 | 2021-11-12T10:25:02.000Z | 2022-03-30T06:33:52.000Z | # # -*- coding: utf-8 -*-
| 23.444444 | 47 | 0.663507 | # # -*- coding: utf-8 -*-
from polylogyx.celery.tasks import example_task
class TestCelery:
def test_celery_simple(self,celery_worker):
res = example_task.delay(1, 2)
assert res.get() == 3
| 0 | 0 | 0 | 113 | 0 | 0 | 0 | 26 | 45 |
1707c9e1271bd1f3982869b3232fb3258eeb474a | 6,242 | py | Python | methods/mahalanobis_ensemble.py | christophbrgr/ood_detection_framework | c3b7e3064ed8ee4aeb112cd2ab946ee41636f79f | [
"MIT"
] | 7 | 2021-07-26T14:28:51.000Z | 2021-11-18T13:20:00.000Z | methods/mahalanobis_ensemble.py | christophbrgr/ood_detection_framework | c3b7e3064ed8ee4aeb112cd2ab946ee41636f79f | [
"MIT"
] | null | null | null | methods/mahalanobis_ensemble.py | christophbrgr/ood_detection_framework | c3b7e3064ed8ee4aeb112cd2ab946ee41636f79f | [
"MIT"
] | null | null | null | import torch.nn as nn
| 32.175258 | 155 | 0.60141 | import torch
import torch.nn as nn
import numpy as np
from torch.autograd import Variable
import sys
from tqdm import tqdm
from util import helpers
from util.mahalanobis_lib import get_Mahalanobis_score, sample_estimator, sample_estimator_cifar10
from util.metrics import get_metrics
def eval(path_in, path_out, model... | 0 | 0 | 0 | 0 | 0 | 5,887 | 0 | 86 | 246 |
6f7644da3b3841b77e76a862a2ddd1f5d134c822 | 5,824 | py | Python | custom_components/unifiprotect/number.py | mjdyson/unifiprotect | 42846cc4e3c77dc93e7008d45919bdc0965fd336 | [
"MIT"
] | 546 | 2019-12-28T13:37:24.000Z | 2022-03-29T18:48:54.000Z | custom_components/unifiprotect/number.py | mjdyson/unifiprotect | 42846cc4e3c77dc93e7008d45919bdc0965fd336 | [
"MIT"
] | 358 | 2020-01-01T11:17:24.000Z | 2022-02-03T17:34:00.000Z | custom_components/unifiprotect/number.py | mjdyson/unifiprotect | 42846cc4e3c77dc93e7008d45919bdc0965fd336 | [
"MIT"
] | 51 | 2020-01-12T21:35:06.000Z | 2022-02-01T06:26:27.000Z | """This component provides number entities for UniFi Protect."""
from __future__ import annotations
import logging
from homeassistant.const import ENTITY_CATEGORY_CONFIG
_LOGGER = logging.getLogger(__name__)
_KEY_WDR = "wdr_value"
_KEY_MIC_LEVEL = "mic_level"
_KEY_ZOOM_POS = "zoom_position"
_KEY_SENSITIVITY = "sensit... | 30.176166 | 81 | 0.685783 | """This component provides number entities for UniFi Protect."""
from __future__ import annotations
from dataclasses import dataclass
from datetime import timedelta
import logging
from typing import Callable, Sequence
from homeassistant.components.number import NumberEntity, NumberEntityDescription
from homeassistant... | 0 | 720 | 953 | 675 | 0 | 0 | 0 | 312 | 381 |
af8460c21a11a051c1a66f7447d560926f9c0c4f | 2,929 | py | Python | Food_recognition/detection.py | KiaKafaei1/Data_Science_Portfolio | 9bfa29632d664c6bad9589106e47a455041f0d2c | [
"MIT"
] | null | null | null | Food_recognition/detection.py | KiaKafaei1/Data_Science_Portfolio | 9bfa29632d664c6bad9589106e47a455041f0d2c | [
"MIT"
] | null | null | null | Food_recognition/detection.py | KiaKafaei1/Data_Science_Portfolio | 9bfa29632d664c6bad9589106e47a455041f0d2c | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
# run GPU ....
if(torch.cuda.is_available()):
device = torch.device("cuda")
print(device, torch.cuda.get_device_name(0))
else:
device= torch.device("cpu")
print(device)
size = (7, 7)
| 35.719512 | 141 | 0.694776 | import matplotlib
import numpy as np
import pandas as pd
import torch
import torchvision
import torch.nn as nn
import torch.nn.functional as F
from torchvision import transforms
import cv2
from PIL import Image
import matplotlib.pyplot as plt
import glob
import os
from IPython.display import clear_output
from skimage.i... | 0 | 0 | 0 | 2,289 | 0 | 0 | 0 | 28 | 375 |
c31bb9d4e562c5d10b963674924d5c37a9969fc1 | 3,860 | py | Python | cctbx/examples/maximum_subgroups.py | dperl-sol/cctbx_project | b9e390221a2bc4fd00b9122e97c3b79c632c6664 | [
"BSD-3-Clause-LBNL"
] | 155 | 2016-11-23T12:52:16.000Z | 2022-03-31T15:35:44.000Z | cctbx/examples/maximum_subgroups.py | dperl-sol/cctbx_project | b9e390221a2bc4fd00b9122e97c3b79c632c6664 | [
"BSD-3-Clause-LBNL"
] | 590 | 2016-12-10T11:31:18.000Z | 2022-03-30T23:10:09.000Z | cctbx/examples/maximum_subgroups.py | dperl-sol/cctbx_project | b9e390221a2bc4fd00b9122e97c3b79c632c6664 | [
"BSD-3-Clause-LBNL"
] | 115 | 2016-11-15T08:17:28.000Z | 2022-02-09T15:30:14.000Z | """
Construct all subgroup graphs and their relations between them from a single space group.
"""
from __future__ import absolute_import, division, print_function
import sys
if __name__=="__main__":
if len(sys.argv)>1:
run_single( sys.argv[1],True,True )
else:
run_all()
| 29.022556 | 159 | 0.639119 | """
Construct all subgroup graphs and their relations between them from a single space group.
"""
from __future__ import absolute_import, division, print_function
from cctbx import sgtbx
from cctbx.sgtbx import show_cosets
from cctbx.sgtbx import pointgroup_tools
from cctbx.development import debug_utils
import sys
... | 0 | 0 | 0 | 0 | 0 | 3,307 | 0 | 55 | 204 |
9563a427a32e6e758e49cc28d99803a1391285d3 | 771 | py | Python | src/turn_definitions_into_lists.py | yizhongw/natural-instructions | f4430d16168a5aafb3d05458c2d21c0ff3da258a | [
"Apache-2.0"
] | null | null | null | src/turn_definitions_into_lists.py | yizhongw/natural-instructions | f4430d16168a5aafb3d05458c2d21c0ff3da258a | [
"Apache-2.0"
] | null | null | null | src/turn_definitions_into_lists.py | yizhongw/natural-instructions | f4430d16168a5aafb3d05458c2d21c0ff3da258a | [
"Apache-2.0"
] | null | null | null |
tasks_path = 'tasks/'
if __name__ == "__main__":
update_definitions(tasks_path)
| 30.84 | 93 | 0.57847 | import json
import os
from os import listdir, path
from os.path import isfile, join
tasks_path = 'tasks/'
def update_definitions(tasks_path):
files = [join(tasks_path, f) for f in listdir(tasks_path) if isfile(join(tasks_path, f))]
files.sort()
for file in files:
if file.endswith('.json'):
... | 0 | 0 | 0 | 0 | 0 | 579 | 0 | -4 | 110 |
2926d3868b170bf1ba0ad2e82deaf83a8c9c3225 | 281 | py | Python | sklearn_export/estimator/scaler/Scaler.py | zwelz3/sklearn-export | 6692d94f8a592e8f3c9f21d672d8aa814e4d1473 | [
"MIT"
] | 4 | 2019-03-02T14:18:36.000Z | 2021-11-09T08:10:32.000Z | sklearn_export/estimator/scaler/Scaler.py | zwelz3/sklearn-export | 6692d94f8a592e8f3c9f21d672d8aa814e4d1473 | [
"MIT"
] | 3 | 2019-05-03T03:54:36.000Z | 2022-02-14T03:57:24.000Z | sklearn_export/estimator/scaler/Scaler.py | zwelz3/sklearn-export | 6692d94f8a592e8f3c9f21d672d8aa814e4d1473 | [
"MIT"
] | 1 | 2022-02-21T00:46:29.000Z | 2022-02-21T00:46:29.000Z | # -*- coding: utf-8 -*-
| 23.416667 | 57 | 0.669039 | # -*- coding: utf-8 -*-
from sklearn_export.Template import Template
class Scaler(Template):
def __init__(self, estimator, **kwargs):
# pylint: disable=unused-argument
super(Scaler, self).__init__(estimator, **kwargs)
self.estimator_type = 'scaler'
| 0 | 0 | 0 | 187 | 0 | 0 | 0 | 23 | 46 |
c5d5dc0bb745afa2ef1f37a5aa65c490fd7217c8 | 1,825 | py | Python | taxamo/models/settlement_daily_stats_schema.py | piotrts/taxamo-python | be3b46a6ec320166999987b65384376be6f57111 | [
"Apache-2.0"
] | null | null | null | taxamo/models/settlement_daily_stats_schema.py | piotrts/taxamo-python | be3b46a6ec320166999987b65384376be6f57111 | [
"Apache-2.0"
] | null | null | null | taxamo/models/settlement_daily_stats_schema.py | piotrts/taxamo-python | be3b46a6ec320166999987b65384376be6f57111 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""
Copyright 2014-2015 Taxamo, Ltd.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by app... | 32.589286 | 80 | 0.609315 | #!/usr/bin/env python
"""
Copyright 2014-2015 Taxamo, Ltd.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by app... | 0 | 0 | 0 | 1,170 | 0 | 0 | 0 | 0 | 22 |
991fef1f4303fe203a73f3df4e34225e6fa1dab8 | 464 | py | Python | bs4/webscraping26.py | dirleif/aprendendo-scraping | 0850897c019402c897e9ec58160a13aec2e02665 | [
"MIT"
] | null | null | null | bs4/webscraping26.py | dirleif/aprendendo-scraping | 0850897c019402c897e9ec58160a13aec2e02665 | [
"MIT"
] | null | null | null | bs4/webscraping26.py | dirleif/aprendendo-scraping | 0850897c019402c897e9ec58160a13aec2e02665 | [
"MIT"
] | null | null | null | """
usando Requests
trabalhando com proxies
"""
# importando modulo Requests
import requests
# proxies free
# http://www.ultrapoxies.com/
# https://www.hide-my-ip.com/pt/proxylist.shtml
url = 'https://www.hide-my-ip.com/pt/proxylist.shtml'
#proxies = {'https':'169.57.157.148:8123'}
proxies = {'http':'183.181.164.210:... | 23.2 | 53 | 0.711207 | """
usando Requests
trabalhando com proxies
"""
# importando modulo Requests
import requests
# proxies free
# http://www.ultrapoxies.com/
# https://www.hide-my-ip.com/pt/proxylist.shtml
url = 'https://www.hide-my-ip.com/pt/proxylist.shtml'
#proxies = {'https':'169.57.157.148:8123'}
proxies = {'http':'183.181.164.210:... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9db9efe8ddc2a5122785c3852ab6fdde4c29dac3 | 2,226 | py | Python | well_plate_project/data_etl/backup_test/circle_detection_test1.py | MthBr/well-plate-light-driven-predictions | d313c5ff8f589516cb6f65f422626faed5bf6dd2 | [
"MIT"
] | null | null | null | well_plate_project/data_etl/backup_test/circle_detection_test1.py | MthBr/well-plate-light-driven-predictions | d313c5ff8f589516cb6f65f422626faed5bf6dd2 | [
"MIT"
] | null | null | null | well_plate_project/data_etl/backup_test/circle_detection_test1.py | MthBr/well-plate-light-driven-predictions | d313c5ff8f589516cb6f65f422626faed5bf6dd2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 2 12:52:01 2020
Circle Detection inspiration:
https://stackoverflow.com/questions/58109962/how-to-optimize-circle-detection-with-python-opencv
@author: modal
"""
#%% INIT
image_file_name = 'a2_a_cropped.jpg'
from well_plate_project.config import d... | 29.289474 | 96 | 0.734951 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 2 12:52:01 2020
Circle Detection inspiration:
https://stackoverflow.com/questions/58109962/how-to-optimize-circle-detection-with-python-opencv
@author: modal
"""
#%% INIT
image_file_name = 'a2_a_cropped.jpg'
from well_plate_project.config import d... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3ff82c5368207c58022b160e3ec4b8cc0c639d88 | 797 | py | Python | roomai/games/texasholdem/__init__.py | tonyxxq/RoomAI | 5f28e31e659dd7808127c3c3cc386e6892a93982 | [
"MIT"
] | 1 | 2018-11-29T01:57:18.000Z | 2018-11-29T01:57:18.000Z | roomai/games/texasholdem/__init__.py | tonyxxq/RoomAI | 5f28e31e659dd7808127c3c3cc386e6892a93982 | [
"MIT"
] | null | null | null | roomai/games/texasholdem/__init__.py | tonyxxq/RoomAI | 5f28e31e659dd7808127c3c3cc386e6892a93982 | [
"MIT"
] | null | null | null | #!/bin/python
| 66.416667 | 84 | 0.844417 | #!/bin/python
from roomai.games.texasholdem.TexasHoldemUtil import PokerCard
from roomai.games.texasholdem.TexasHoldemUtil import AllCardsPattern
from roomai.games.texasholdem.TexasHoldemUtil import AllPokerCards
from roomai.games.texasholdem.TexasHoldemUtil import Stage
from roomai.game... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 563 | 220 |
75cb2322f9d26771a35d036696a241bea5cf6af4 | 237 | py | Python | FindPrimeNumbers.py | KrishnaR7626/MiscProjects | b9ddfd515db282f8ace8663a2995b96f4462fbe1 | [
"MIT"
] | null | null | null | FindPrimeNumbers.py | KrishnaR7626/MiscProjects | b9ddfd515db282f8ace8663a2995b96f4462fbe1 | [
"MIT"
] | null | null | null | FindPrimeNumbers.py | KrishnaR7626/MiscProjects | b9ddfd515db282f8ace8663a2995b96f4462fbe1 | [
"MIT"
] | null | null | null | # An inefficient way I could think of to find prime numbers.
i = int(input("enter max "))
t=1
while t<i:
m=1
c=0
while m<i:
if t%m==0:
c+=1
m+=1
if c<=2:
print(t)
t+=1
| 16.928571 | 61 | 0.443038 | # An inefficient way I could think of to find prime numbers.
i = int(input("enter max "))
t=1
while t<i:
m=1
c=0
while m<i:
if t%m==0:
c+=1
m+=1
if c<=2:
print(t)
t+=1
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f24dc5a428b45036fe3c62ee34bb12fabbe4b11e | 9,705 | py | Python | pyzayo/cli/cli_cases.py | jeremyschulman/pyzayo | 37869daf6ef2df8e0898bae7c3ddbb0139840751 | [
"Apache-2.0"
] | 1 | 2021-06-02T10:00:35.000Z | 2021-06-02T10:00:35.000Z | pyzayo/cli/cli_cases.py | jeremyschulman/pyzayo | 37869daf6ef2df8e0898bae7c3ddbb0139840751 | [
"Apache-2.0"
] | null | null | null | pyzayo/cli/cli_cases.py | jeremyschulman/pyzayo | 37869daf6ef2df8e0898bae7c3ddbb0139840751 | [
"Apache-2.0"
] | null | null | null | """
This file contains the CLI code for the maintenance commands.
References
----------
For the Rich package, colors are defined here:
https://rich.readthedocs.io/en/latest/appendix/colors.html#appendix-colors
"""
# -----------------------------------------------------------------------------
# System Imports... | 27.808023 | 89 | 0.544771 | """
This file contains the CLI code for the maintenance commands.
References
----------
For the Rich package, colors are defined here:
https://rich.readthedocs.io/en/latest/appendix/colors.html#appendix-colors
"""
# -----------------------------------------------------------------------------
# System Imports... | 0 | 1,966 | 0 | 0 | 0 | 0 | 0 | 14 | 159 |
76e40c766cef24dd61b56fdb2bd76ef6d34d6cf3 | 9,128 | py | Python | sphinx/ext/todo.py | hnakamur/sphinx-deb | 34e8fa6013e0567f12eabfd4f71e7a82ce63394e | [
"BSD-2-Clause"
] | 1 | 2019-08-30T18:30:39.000Z | 2019-08-30T18:30:39.000Z | rst/sphinx_ext/todo.py | rblack42/GitBuilder | 1944ef2d6d3c6eaee44ffb663e6c20477046dd9c | [
"BSD-3-Clause"
] | null | null | null | rst/sphinx_ext/todo.py | rblack42/GitBuilder | 1944ef2d6d3c6eaee44ffb663e6c20477046dd9c | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
sphinx.ext.todo
~~~~~~~~~~~~~~~
Allow todos to be inserted into your documentation. Inclusion of todos can
be switched of by a configuration variable. The todolist directive collects
all todos of your project and lists them along with a backlink to the
original loc... | 34.059701 | 83 | 0.621385 | # -*- coding: utf-8 -*-
"""
sphinx.ext.todo
~~~~~~~~~~~~~~~
Allow todos to be inserted into your documentation. Inclusion of todos can
be switched of by a configuration variable. The todolist directive collects
all todos of your project and lists them along with a backlink to the
original loc... | 0 | 0 | 0 | 1,476 | 0 | 6,250 | 0 | 236 | 601 |
3de596368d337615bd299ece0e4e7af6e12d504b | 4,845 | py | Python | anvil/distro.py | timjr/Openstack-Anvil | 5a8199cfef2a7cd83d1886aaa6aa8e0b24cd589d | [
"Apache-2.0"
] | 1 | 2021-06-29T06:09:58.000Z | 2021-06-29T06:09:58.000Z | anvil/distro.py | timjr/Openstack-Anvil | 5a8199cfef2a7cd83d1886aaa6aa8e0b24cd589d | [
"Apache-2.0"
] | null | null | null | anvil/distro.py | timjr/Openstack-Anvil | 5a8199cfef2a7cd83d1886aaa6aa8e0b24cd589d | [
"Apache-2.0"
] | null | null | null | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright (C) 2012 Yahoo! Inc. All Rights Reserved.
# Copyright (C) 2012 New Dream Network, LLC (DreamHost) All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the Licens... | 34.856115 | 92 | 0.631992 | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright (C) 2012 Yahoo! Inc. All Rights Reserved.
# Copyright (C) 2012 New Dream Network, LLC (DreamHost) All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the Licens... | 0 | 160 | 0 | 2,365 | 0 | 1,224 | 0 | -23 | 292 |
6a1a8529b48ee2dd3186bee4c7ac52a024cdd64a | 1,642 | py | Python | indexd/guid/blueprint.py | rpatil524/indexd | 119ff762f8432f29e1e29f86de432927fcc15d68 | [
"Apache-2.0"
] | null | null | null | indexd/guid/blueprint.py | rpatil524/indexd | 119ff762f8432f29e1e29f86de432927fcc15d68 | [
"Apache-2.0"
] | null | null | null | indexd/guid/blueprint.py | rpatil524/indexd | 119ff762f8432f29e1e29f86de432927fcc15d68 | [
"Apache-2.0"
] | null | null | null | import flask
blueprint = flask.Blueprint("guid", __name__)
def _get_prefix():
"""
Return prefix if it's configured to be prepended to all GUIDs and NOT
set as an alias
"""
prefix = ""
if flask.current_app.config["INDEX"]["driver"].config.get(
"PREPEND_PREFIX"
) and not flask.cu... | 26.918033 | 85 | 0.643118 | import flask
import uuid
blueprint = flask.Blueprint("guid", __name__)
@blueprint.route("/guid/mint", methods=["GET"])
def mint_guid():
"""
Mint a GUID that is valid for this instance of indexd. The intention
of this endpoint is to allow generating valid GUIDs to be indexed
WITHOUT actually creating ... | 0 | 1,077 | 0 | 0 | 0 | 0 | 0 | -10 | 68 |
5d1578c6014c375d9157924675bda6431cc6dd3f | 380 | py | Python | myCalsite/myCalapp/admin.py | tanyabonilla/webproject | 8c194faf68129a090a0309e601f92f4269c870ca | [
"MIT"
] | 2 | 2019-11-04T00:01:56.000Z | 2019-11-04T00:01:58.000Z | myCalsite/myCalapp/admin.py | tanyabonilla/webproject | 8c194faf68129a090a0309e601f92f4269c870ca | [
"MIT"
] | 7 | 2020-02-12T02:44:20.000Z | 2022-02-10T08:35:10.000Z | myCalsite/myCalapp/admin.py | tanyabonilla/webproject | 8c194faf68129a090a0309e601f92f4269c870ca | [
"MIT"
] | null | null | null | from django.contrib import admin
from . import models
# Register your models here.
admin.site.register(models.Event_user)
#class EventueAdmin(admin.ModelAdmin):
# list_display = ('title', 'description', 'get_date',)
admin.site.register(models.Task_user)
admin.site.register(models.User_Profile)
admin.site.regi... | 25.333333 | 59 | 0.784211 | from django.contrib import admin
from . import models
# Register your models here.
admin.site.register(models.Event_user)
#class EventueAdmin(admin.ModelAdmin):
# list_display = ('title', 'description', 'get_date',)
admin.site.register(models.Task_user)
admin.site.register(models.User_Profile)
admin.site.regi... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ff93e5fa20d58d59950334f9e5af03021a4cde53 | 1,383 | py | Python | django-project/projects/migrations/0003_auto_20180409_0843.py | KBIAnews/projects-hub | 746decaa45099eacde5233548f8f86b9ac3f3ba5 | [
"MIT"
] | null | null | null | django-project/projects/migrations/0003_auto_20180409_0843.py | KBIAnews/projects-hub | 746decaa45099eacde5233548f8f86b9ac3f3ba5 | [
"MIT"
] | null | null | null | django-project/projects/migrations/0003_auto_20180409_0843.py | KBIAnews/projects-hub | 746decaa45099eacde5233548f8f86b9ac3f3ba5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-04-09 13:43
from __future__ import unicode_literals
| 34.575 | 143 | 0.611714 | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-04-09 13:43
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import projects.models
class Migration(migrations.Migration):
dependencies = [
('projects', '0002_auto_20180406_1501'),... | 0 | 0 | 0 | 1,150 | 0 | 0 | 0 | 31 | 90 |
490d733beb9f11ded9bc8765a6acf522dd11c131 | 6,208 | py | Python | rpcfit/gridata.py | cmla/rpcf | 27bb3745e620632ae6df485688bd502645216b8b | [
"BSD-2-Clause"
] | 4 | 2021-09-23T23:34:48.000Z | 2022-02-10T22:39:59.000Z | rpcfit/gridata.py | cmla/rpcf | 27bb3745e620632ae6df485688bd502645216b8b | [
"BSD-2-Clause"
] | 1 | 2021-02-26T00:01:29.000Z | 2021-03-01T11:36:48.000Z | rpcfit/gridata.py | cmla/rpcfit | 27bb3745e620632ae6df485688bd502645216b8b | [
"BSD-2-Clause"
] | 3 | 2021-06-08T03:11:15.000Z | 2021-11-12T18:43:55.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Oct 19 15:36:42 2020
@author: rakiki
"""
import numpy as np
import rasterio
# dataset construction
def pointCube(dim1_left, dim1_right, dim2_left, dim2_right
, alt_min, alt_max
, grid_len, num_layers):
'''
Constr... | 43.71831 | 126 | 0.598905 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Oct 19 15:36:42 2020
@author: rakiki
"""
import numpy as np
import rasterio
# dataset construction
def pointCube(dim1_left, dim1_right, dim2_left, dim2_right
, alt_min, alt_max
, grid_len, num_layers):
'''
Constr... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
83e1ebe1564956bfb99de1ae2ec19d24bbf09722 | 183 | py | Python | app/auth/__init__.py | changawa-antony/personal-blog | f3df93d6fca61d9ec5eb369d6420bf4b472aa8b3 | [
"MIT"
] | null | null | null | app/auth/__init__.py | changawa-antony/personal-blog | f3df93d6fca61d9ec5eb369d6420bf4b472aa8b3 | [
"MIT"
] | null | null | null | app/auth/__init__.py | changawa-antony/personal-blog | f3df93d6fca61d9ec5eb369d6420bf4b472aa8b3 | [
"MIT"
] | null | null | null | from flask import Blueprint
# Blueprint Configuration
auth_bp = Blueprint(
'auth_bp', __name__,
template_folder='templates',
static_folder='static'
) | 18.3 | 32 | 0.737705 | from flask import Blueprint
# Blueprint Configuration
auth_bp = Blueprint(
'auth_bp', __name__,
template_folder='templates',
static_folder='static'
)
from . import views | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 22 |
70c28e9f62ec12d576e81e52faba6eba41fa491c | 16,064 | py | Python | Loading/MonsterAi.py | crablab/cs1830_project | af0767a5860e18f5c7d58464704f186552a90ee6 | [
"MIT"
] | null | null | null | Loading/MonsterAi.py | crablab/cs1830_project | af0767a5860e18f5c7d58464704f186552a90ee6 | [
"MIT"
] | null | null | null | Loading/MonsterAi.py | crablab/cs1830_project | af0767a5860e18f5c7d58464704f186552a90ee6 | [
"MIT"
] | null | null | null | import configparser
config = configparser.ConfigParser()
config.read_file(open('Classes/config'))
MAP_WIDTH = int(config['MAP']['WIDTH'])
MAP_HEIGHT = int(config['MAP']['HEIGHT'])
| 46.562319 | 178 | 0.573083 | import time, random, configparser
from Classes.Base.Vector import Vector
from Loading.RandomGen import getRandomMagicWeapon, getRandomMagicCast, getRandomMonster
from Classes.Super.Weapon import Weapon
from Classes.Middle.Particle import Particle
from Classes.Super.Monster import Monster
from Loading.Objects import wea... | 0 | 0 | 0 | 15,348 | 0 | 0 | 0 | 335 | 199 |
43420b779a5972d5118cb2683aaedd4b5ef5c244 | 6,930 | py | Python | trac/web/href.py | exocad/exotrac | c8207efff78d4736745e975abaa359e8bb21ffdb | [
"BSD-3-Clause"
] | null | null | null | trac/web/href.py | exocad/exotrac | c8207efff78d4736745e975abaa359e8bb21ffdb | [
"BSD-3-Clause"
] | null | null | null | trac/web/href.py | exocad/exotrac | c8207efff78d4736745e975abaa359e8bb21ffdb | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2003-2009 Edgewall Software
# Copyright (C) 2003-2004 Jonas Borgstrm <jonas@edgewall.com>
# Copyright (C) 2005 Christopher Lenz <cmlenz@gmx.de>
# All rights reserved.
#
# This software is licensed as described in the file COPYING, which
# you should have received as part of thi... | 33.640777 | 79 | 0.611688 | # -*- coding: utf-8 -*-
#
# Copyright (C) 2003-2009 Edgewall Software
# Copyright (C) 2003-2004 Jonas Borgström <jonas@edgewall.com>
# Copyright (C) 2005 Christopher Lenz <cmlenz@gmx.de>
# All rights reserved.
#
# This software is licensed as described in the file COPYING, which
# you should have received as part of th... | 4 | 0 | 0 | 5,997 | 0 | 0 | 0 | 38 | 46 |
8471be6e1f242d055d1f1f40b27848b9460a6fca | 601 | py | Python | PC_Benewake_TFmini_LiDAR.py | Chastonay-GP/2020-raspberry-pi-water-level | ec89ca7c75a2cf3435267b3dede51266b0fff41d | [
"FSFAP"
] | null | null | null | PC_Benewake_TFmini_LiDAR.py | Chastonay-GP/2020-raspberry-pi-water-level | ec89ca7c75a2cf3435267b3dede51266b0fff41d | [
"FSFAP"
] | null | null | null | PC_Benewake_TFmini_LiDAR.py | Chastonay-GP/2020-raspberry-pi-water-level | ec89ca7c75a2cf3435267b3dede51266b0fff41d | [
"FSFAP"
] | null | null | null | import serial
ser = serial.Serial('/dev/ttyUSB0',115200,timeout = 1)
ser.write(0x42)
ser.write(0x57)
ser.write(0x02)
ser.write(0x00)
ser.write(0x00)
ser.write(0x00)
ser.write(0x01)
ser.write(0x06)
while(True):
while(ser.in_waiting >= 9):
#print ("a")
if(('Y' == ser.read()) and ('Y' ... | 23.115385 | 61 | 0.529118 | import serial
import time
ser = serial.Serial('/dev/ttyUSB0',115200,timeout = 1)
ser.write(0x42)
ser.write(0x57)
ser.write(0x02)
ser.write(0x00)
ser.write(0x00)
ser.write(0x00)
ser.write(0x01)
ser.write(0x06)
while(True):
while(ser.in_waiting >= 9):
#print ("a")
if(('Y' == ser.read... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -10 | 23 |
6a15aade8cc353754c14f8437cf9834a8d068d77 | 5,376 | py | Python | corehq/apps/reports/tests/test_sql_reports.py | dimagilg/commcare-hq | ea1786238eae556bb7f1cbd8d2460171af1b619c | [
"BSD-3-Clause"
] | null | null | null | corehq/apps/reports/tests/test_sql_reports.py | dimagilg/commcare-hq | ea1786238eae556bb7f1cbd8d2460171af1b619c | [
"BSD-3-Clause"
] | 94 | 2020-12-11T06:57:31.000Z | 2022-03-15T10:24:06.000Z | corehq/apps/reports/tests/test_sql_reports.py | dimagilg/commcare-hq | ea1786238eae556bb7f1cbd8d2460171af1b619c | [
"BSD-3-Clause"
] | null | null | null |
DOMAIN = "test"
| 41.038168 | 109 | 0.635231 | from datetime import datetime, time
from django import test as unittest
from django.test.client import RequestFactory
from dimagi.utils.dates import DateSpan
from corehq.apps.domain.shortcuts import create_domain
from corehq.apps.users.models import WebUser
from corehq.sql_db.connections import Session
from corehq.u... | 0 | 478 | 0 | 4,321 | 0 | 0 | 0 | 266 | 292 |
2f93144ea0e7a9ec3d12b51325d8760bd959ad44 | 6,201 | py | Python | course1/week2/quiz2/PredictingHousePrices.py | eroicaleo/MachineLearningUW | c9addb23119e2db41e2a467baafe6bd2ce2acbcb | [
"MIT"
] | null | null | null | course1/week2/quiz2/PredictingHousePrices.py | eroicaleo/MachineLearningUW | c9addb23119e2db41e2a467baafe6bd2ce2acbcb | [
"MIT"
] | null | null | null | course1/week2/quiz2/PredictingHousePrices.py | eroicaleo/MachineLearningUW | c9addb23119e2db41e2a467baafe6bd2ce2acbcb | [
"MIT"
] | null | null | null |
# coding: utf-8
# #Fire up graphlab create
# In[35]:
import graphlab
# #Load some house sales data
#
# Dataset is from house sales in King County, the region where the city of Seattle, WA is located.
# In[36]:
sales = graphlab.SFrame('home_data.gl/')
# In[37]:
sales
# #Exploring the data for housing sales... | 19.938907 | 260 | 0.680213 |
# coding: utf-8
# #Fire up graphlab create
# In[35]:
import graphlab
# #Load some house sales data
#
# Dataset is from house sales in King County, the region where the city of Seattle, WA is located.
# In[36]:
sales = graphlab.SFrame('home_data.gl/')
# In[37]:
sales
# #Exploring the data for housing sales... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1f86701824cf61a12df75ebaea242b4272d39e29 | 18,076 | py | Python | tests/wallet/test_cache_manager.py | febuiles/two1-python | 88704487dba7715f97a0980781d4c0efb2ea7fc4 | [
"BSD-2-Clause-FreeBSD"
] | 415 | 2016-06-10T00:46:55.000Z | 2021-10-16T00:56:06.000Z | tests/wallet/test_cache_manager.py | febuiles/two1-python | 88704487dba7715f97a0980781d4c0efb2ea7fc4 | [
"BSD-2-Clause-FreeBSD"
] | 25 | 2016-06-11T13:48:59.000Z | 2021-01-05T11:19:30.000Z | tests/wallet/test_cache_manager.py | febuiles/two1-python | 88704487dba7715f97a0980781d4c0efb2ea7fc4 | [
"BSD-2-Clause-FreeBSD"
] | 109 | 2016-06-11T05:17:05.000Z | 2021-12-22T11:02:22.000Z | import inspect
import os.path
from two1.blockchain.twentyone_provider import TwentyOneProvider
from two1.wallet.cache_manager import CacheManager
this_file_path = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
cm = CacheManager()
dp = TwentyOneProvider()
| 46.112245 | 796 | 0.750553 | import inspect
import os.path
import time
from two1.blockchain.twentyone_provider import TwentyOneProvider
from two1.bitcoin.hash import Hash
from two1.wallet.cache_manager import CacheManager
from two1.wallet.wallet_txn import WalletTransaction
this_file_path = os.path.dirname(os.path.abspath(inspect.getfile(inspec... | 0 | 0 | 0 | 0 | 0 | 17,618 | 0 | 34 | 135 |
b5843875e6ebc5bf39ab131cdc98ecca22a19925 | 2,696 | py | Python | gmn/src/d1_gmn/app/middleware/session_cert.py | DataONEorg/d1_python | dfab267c3adea913ab0e0073ed9dc1ee50b5b8eb | [
"Apache-2.0"
] | 15 | 2016-10-28T13:56:52.000Z | 2022-01-31T19:07:49.000Z | gmn/src/d1_gmn/app/middleware/session_cert.py | DataONEorg/d1_python | dfab267c3adea913ab0e0073ed9dc1ee50b5b8eb | [
"Apache-2.0"
] | 56 | 2017-03-16T03:52:32.000Z | 2022-03-12T01:05:28.000Z | gmn/src/d1_gmn/app/middleware/session_cert.py | DataONEorg/d1_python | dfab267c3adea913ab0e0073ed9dc1ee50b5b8eb | [
"Apache-2.0"
] | 11 | 2016-05-31T16:22:02.000Z | 2020-10-05T14:37:10.000Z | # This work was created by participants in the DataONE project, and is
# jointly copyrighted by participating institutions in DataONE. For
# more information on DataONE, see our web site at http://dataone.org.
#
# Copyright 2009-2019 DataONE
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you ma... | 37.444444 | 87 | 0.738501 | # This work was created by participants in the DataONE project, and is
# jointly copyrighted by participating institutions in DataONE. For
# more information on DataONE, see our web site at http://dataone.org.
#
# Copyright 2009-2019 DataONE
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you ma... | 0 | 0 | 0 | 0 | 0 | 104 | 0 | 0 | 23 |
85357402a8301e1bda63a84a7fda7c6d2ae1162a | 8,452 | py | Python | swagger_client/models/get_fw_systems_200_ok.py | rseichter/bootini-star | a80258f01a05e4df38748b8cb47dfadabd42c20d | [
"MIT"
] | null | null | null | swagger_client/models/get_fw_systems_200_ok.py | rseichter/bootini-star | a80258f01a05e4df38748b8cb47dfadabd42c20d | [
"MIT"
] | null | null | null | swagger_client/models/get_fw_systems_200_ok.py | rseichter/bootini-star | a80258f01a05e4df38748b8cb47dfadabd42c20d | [
"MIT"
] | null | null | null | # coding: utf-8
"""
EVE Swagger Interface
An OpenAPI for EVE Online # noqa: E501
OpenAPI spec version: 0.8.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
| 32.383142 | 176 | 0.635353 | # coding: utf-8
"""
EVE Swagger Interface
An OpenAPI for EVE Online # noqa: E501
OpenAPI spec version: 0.8.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
class GetFwSystems200Ok(object):
"""NOTE: This class is aut... | 0 | 4,692 | 0 | 3,481 | 0 | 0 | 0 | -31 | 105 |
dfea545de52865e245de45e9353a7cf90987e97d | 288 | py | Python | PF/Inicio.py | HectorR28/uip-iiiq-pc3 | 7fd3f0f8191a7442f4330ff54d72eb6e157a740e | [
"MIT"
] | null | null | null | PF/Inicio.py | HectorR28/uip-iiiq-pc3 | 7fd3f0f8191a7442f4330ff54d72eb6e157a740e | [
"MIT"
] | null | null | null | PF/Inicio.py | HectorR28/uip-iiiq-pc3 | 7fd3f0f8191a7442f4330ff54d72eb6e157a740e | [
"MIT"
] | null | null | null | import FormaPago
import MenuOpciones
if __name__ == '__main__':
FormaPago.menuPagos()
opc = input("Dijite el numero de la opcin que desea acceder: ")
if opc == "1":
MenuOpciones.OpcionCrear()
elif opc == "2":
MenuOpciones.OpcionCambiar()
| 24 | 69 | 0.618056 | import FormaPago
import MenuOpciones
if __name__ == '__main__':
FormaPago.menuPagos()
opc = input("Dijite el numero de la opción que desea acceder: ")
if opc == "1":
MenuOpciones.OpcionCrear()
elif opc == "2":
MenuOpciones.OpcionCambiar()
| 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |