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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
791c916480d1f29765cfd016642d4bb0b4d0aa31 | 141 | py | Python | tests/regression/diabetes/ws_diabetes_GradientBoostingRegressor_oracle_code_gen.py | antoinecarme/sklearn2sql_heroku | d680db10683daa419324461eeea851dd8b103ad5 | [
"BSD-3-Clause"
] | 1 | 2019-07-09T14:45:18.000Z | 2019-07-09T14:45:18.000Z | tests/regression/diabetes/ws_diabetes_GradientBoostingRegressor_oracle_code_gen.py | antoinecarme/sklearn2sql_heroku | d680db10683daa419324461eeea851dd8b103ad5 | [
"BSD-3-Clause"
] | 5 | 2017-11-13T13:35:37.000Z | 2021-11-11T12:57:20.000Z | tests/regression/diabetes/ws_diabetes_GradientBoostingRegressor_oracle_code_gen.py | antoinecarme/sklearn2sql_heroku | d680db10683daa419324461eeea851dd8b103ad5 | [
"BSD-3-Clause"
] | 1 | 2021-09-19T15:05:33.000Z | 2021-09-19T15:05:33.000Z | from sklearn2sql_heroku.tests.regression import generic as reg_gen
reg_gen.test_model("GradientBoostingRegressor" , "diabetes" , "oracle")
| 28.2 | 71 | 0.815603 |
cba57a828491a4f7d1f33c9519906af64d07ee84 | 4,546 | py | Python | sdk/python/pulumi_kubernetes/policy/v1beta1/PodSecurityPolicy.py | vijayraavi/pulumi-kubernetes | 0a18b87fd1b4fa5778542dbb0e82a08a2e91ab88 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_kubernetes/policy/v1beta1/PodSecurityPolicy.py | vijayraavi/pulumi-kubernetes | 0a18b87fd1b4fa5778542dbb0e82a08a2e91ab88 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_kubernetes/policy/v1beta1/PodSecurityPolicy.py | vijayraavi/pulumi-kubernetes | 0a18b87fd1b4fa5778542dbb0e82a08a2e91ab88 | [
"Apache-2.0"
] | null | null | null | # *** WARNING: this file was generated by the Pulumi Kubernetes codegen tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
from typing import Optional
import pulumi
import pulumi.runtime
from pulumi import Input, ResourceOptions
from ... import tables, version
... | 41.327273 | 107 | 0.683018 |
e95a382de6039ff66f7a286f90e8b497cd63a933 | 18,288 | py | Python | examples/cifar/main.py | Lornatang/EfficientNet | 1b8718735888aa21fbef78b825af1dacd3c257a2 | [
"Apache-2.0"
] | 4 | 2020-01-12T01:02:04.000Z | 2020-04-10T00:32:05.000Z | examples/cifar/main.py | Lornatang/EfficientNet | 1b8718735888aa21fbef78b825af1dacd3c257a2 | [
"Apache-2.0"
] | null | null | null | examples/cifar/main.py | Lornatang/EfficientNet | 1b8718735888aa21fbef78b825af1dacd3c257a2 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Lorna Authors. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 38.910638 | 111 | 0.611877 |
f14cecca50c37646ab2f9ff0ec514500a8fad959 | 2,286 | py | Python | tests/specifications/post_test.py | m4rc1e/fontbakery | da4c4b69abdd41314f9bdb58d9e47722e0680816 | [
"Apache-2.0"
] | null | null | null | tests/specifications/post_test.py | m4rc1e/fontbakery | da4c4b69abdd41314f9bdb58d9e47722e0680816 | [
"Apache-2.0"
] | null | null | null | tests/specifications/post_test.py | m4rc1e/fontbakery | da4c4b69abdd41314f9bdb58d9e47722e0680816 | [
"Apache-2.0"
] | null | null | null | import pytest
from fontbakery.checkrunner import (
DEBUG
, INFO
, WARN
, ERROR
, SKIP
, PASS
, FAIL
)
check_statuses = (ERROR, FAIL, SKIP, PASS, WARN, INFO, DEBUG)
from fontTools.ttLib import TTFont
mada_fonts = [
"da... | 30.48 | 80 | 0.692476 |
b360ec5333b437a2c22eff10f181ee34e18c9c64 | 7,021 | py | Python | libs/dir_sobel_color_persp_warp_func.py | kavach-feature/Advanced_lane_finding | 12e4e330e338734fdb35655c7581b98ba1eb490b | [
"MIT"
] | null | null | null | libs/dir_sobel_color_persp_warp_func.py | kavach-feature/Advanced_lane_finding | 12e4e330e338734fdb35655c7581b98ba1eb490b | [
"MIT"
] | null | null | null | libs/dir_sobel_color_persp_warp_func.py | kavach-feature/Advanced_lane_finding | 12e4e330e338734fdb35655c7581b98ba1eb490b | [
"MIT"
] | null | null | null | import numpy as np
import cv2
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import glob
objpoints=[]
imgpoints=[]
objp=np.zeros((6*9,3), np.float32)
objp[:,:2]= np.mgrid[0:9,0:6].T.reshape(-1,2)
# Defines a function that applies Sobel x and y,
# then computes the direction of the... | 39.44382 | 100 | 0.683094 |
d7e137f11b2e3a56ffbc1e7e0a579c3543ded5a5 | 1,292 | py | Python | projetinhos/ex115/interface/__init__.py | dani-fn/Projetinhos_Python | 692ff0a7f57d8f8f2e28f7b2c38bb6401e013bdb | [
"MIT"
] | null | null | null | projetinhos/ex115/interface/__init__.py | dani-fn/Projetinhos_Python | 692ff0a7f57d8f8f2e28f7b2c38bb6401e013bdb | [
"MIT"
] | null | null | null | projetinhos/ex115/interface/__init__.py | dani-fn/Projetinhos_Python | 692ff0a7f57d8f8f2e28f7b2c38bb6401e013bdb | [
"MIT"
] | null | null | null | def linha(tam=48):
return '-' * tam
def titulo(msg):
print(linha())
print(f'{msg}'.center(48))
print(linha())
def leiaop(msg, a, b):
erro = '\033[31m ERRO! Digite uma opção válida!\033[m'
while True:
try:
v = int(input(msg))
except (TypeError, Value... | 24.846154 | 80 | 0.496904 |
5144ff2b68f65fe7bc34889af6238ac6e9095f20 | 303 | py | Python | 2019/pwn/Time/exp.py | ZJGSIS/ZJGSUCTF-Challenges | 460bfaa90f5d13a0958702fa4e479905713738bc | [
"MIT"
] | 1 | 2021-11-20T04:13:07.000Z | 2021-11-20T04:13:07.000Z | 2019/pwn/Time/exp.py | ZJGSIS/ZJGSUCTF-Challenges | 460bfaa90f5d13a0958702fa4e479905713738bc | [
"MIT"
] | null | null | null | 2019/pwn/Time/exp.py | ZJGSIS/ZJGSUCTF-Challenges | 460bfaa90f5d13a0958702fa4e479905713738bc | [
"MIT"
] | null | null | null | from pwn import *
#context.log_level='debug'
got=0x000000000601028
#p=process("./main")
p=remote("10.21.13.190",2699)
#gdb.attach(p)
payload="%{}c%8$hn".format(0x2216).ljust(0x10,'\x00')+p64(got)
payload=payload[:-5]
log.info((payload))
log.info(len(payload))
p.sendafter(".\n",payload)
p.interactive()
| 23.307692 | 62 | 0.70297 |
9f30c64d91f5b7cd62e44cf005989a70748967c6 | 57,274 | py | Python | superset/superset/utils/core.py | mvbvieira/finance_pipeline | 48b085aeafda61c82f77de4ae67ceb02ac32f683 | [
"Apache-2.0"
] | 1 | 2020-11-03T06:34:21.000Z | 2020-11-03T06:34:21.000Z | superset/superset/utils/core.py | mvbvieira/finance_pipeline | 48b085aeafda61c82f77de4ae67ceb02ac32f683 | [
"Apache-2.0"
] | 57 | 2020-04-20T17:41:41.000Z | 2022-03-16T21:38:05.000Z | superset/superset/utils/core.py | mvbvieira/finance_pipeline | 48b085aeafda61c82f77de4ae67ceb02ac32f683 | [
"Apache-2.0"
] | 2 | 2021-10-12T17:51:34.000Z | 2021-10-15T18:55:52.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 31.538546 | 88 | 0.636572 |
007a4dd7c930df4e631e6ced5310c2169b1a75f7 | 16,488 | py | Python | bann/b_test_train_prepare/pytorch/p_train/glw_pretraining.py | arturOnRails/BANN | 027af04349304941fb73c2ede502aca4b76f1ad1 | [
"MIT"
] | null | null | null | bann/b_test_train_prepare/pytorch/p_train/glw_pretraining.py | arturOnRails/BANN | 027af04349304941fb73c2ede502aca4b76f1ad1 | [
"MIT"
] | null | null | null | bann/b_test_train_prepare/pytorch/p_train/glw_pretraining.py | arturOnRails/BANN | 027af04349304941fb73c2ede502aca4b76f1ad1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
""".. moduleauthor:: Artur Lissin"""
import math
import re
from copy import deepcopy
from dataclasses import dataclass
from typing import Optional, Tuple, Iterable, Callable, Dict, List, Pattern, Union, Final, final
import torch
from torch import nn
from torch.utils.data import Dataset, DataLoa... | 44.203753 | 100 | 0.643741 |
b2ff5961db747304633158435de402e9a5df46ec | 638 | py | Python | server/src/db/database.py | Sheerabth/blob-system | 808f1591247fecace4cbd121053d79205096ced3 | [
"MIT"
] | null | null | null | server/src/db/database.py | Sheerabth/blob-system | 808f1591247fecace4cbd121053d79205096ced3 | [
"MIT"
] | null | null | null | server/src/db/database.py | Sheerabth/blob-system | 808f1591247fecace4cbd121053d79205096ced3 | [
"MIT"
] | null | null | null | from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, Session
from src.config import DATABASE_USER, DATABASE_PASSWORD, DATABASE_HOST, DATABASE_PORT, DATABASE_NAME
SQLALCHEMY_DATABASE_URL = (
f"postgresql://{DATABASE_USER}:{DATABASE_PAS... | 30.380952 | 103 | 0.775862 |
9e53f3460dfa9f06fe1c61688c39f68749388d52 | 11,126 | py | Python | code_controller.py | aerialist/on_air_sign | 022e351184c86ee24b81105439e6e43025c75f87 | [
"MIT"
] | null | null | null | code_controller.py | aerialist/on_air_sign | 022e351184c86ee24b81105439e6e43025c75f87 | [
"MIT"
] | 2 | 2021-08-10T07:39:00.000Z | 2021-08-10T13:04:02.000Z | code_controller.py | aerialist/on_air_sign | 022e351184c86ee24b81105439e6e43025c75f87 | [
"MIT"
] | null | null | null | def reference():
pass
# Raspberry Pi Pico RP2040
#dir(board)
#['__class__', 'A0', 'A1', 'A2', 'A3', 'GP0', 'GP1', 'GP10', 'GP11', 'GP12', 'GP13',
#'GP14', 'GP15', 'GP16', 'GP17', 'GP18', 'GP19', 'GP2', 'GP20', 'GP21', 'GP22', 'GP23',
#'GP24', 'GP25', 'GP26', 'GP26_A0', 'GP27', 'GP27_A1', 'GP28',... | 33.014837 | 92 | 0.665558 |
741f53c230fa684a07e78aee1d3515b89005d4e8 | 254 | py | Python | project/WeiboTest/Logger.py | zhengbomo/python_practice | 1bc5c4ff426f806639bbc01249e66747271ec398 | [
"MIT"
] | 2 | 2016-10-03T10:20:02.000Z | 2018-03-20T00:38:53.000Z | project/WeiboTest/Logger.py | zhengbomo/python_practice | 1bc5c4ff426f806639bbc01249e66747271ec398 | [
"MIT"
] | 2 | 2019-10-08T07:13:44.000Z | 2019-10-08T07:13:46.000Z | project/WeiboTest/Logger.py | zhengbomo/python_practice | 1bc5c4ff426f806639bbc01249e66747271ec398 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding:utf-8 -*-
class Logger(object):
@staticmethod
def info(type_, message):
pass
@staticmethod
def warning(type_, message):
pass
@staticmethod
def error(type_, message):
pass
| 14.941176 | 32 | 0.582677 |
a27c28a351371ddf09faf846671de43198a11bc5 | 4,428 | py | Python | 2016/11/11-python.py | allengarvin/adventofcode | 004719c1721e514e3e8de8e94c25e0f858e96838 | [
"BSD-3-Clause"
] | null | null | null | 2016/11/11-python.py | allengarvin/adventofcode | 004719c1721e514e3e8de8e94c25e0f858e96838 | [
"BSD-3-Clause"
] | null | null | null | 2016/11/11-python.py | allengarvin/adventofcode | 004719c1721e514e3e8de8e94c25e0f858e96838 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python
import sys, re, itertools
from operator import and_, or_, xor
def mysplit(s):
return re.split(", and | and |, ", s)
def main():
floors = [0,0,0,0]
things = []
for l in map(lambda x: x.strip(), open("../advent-2016/11-input.txt").readlines()):
fl, stuff = l.split(" contains "... | 29.52 | 116 | 0.448961 |
7454d59253416b1e4146fc587311759e15eaaec6 | 281 | py | Python | sentdex_data_analysis/pandas_building_dataset.py | yull1860outlook/Data-Analysis | b777d9a75eb1acc4c899946d547e5585469a83ae | [
"MIT"
] | 4,358 | 2017-12-29T17:56:07.000Z | 2022-03-30T15:14:57.000Z | sentdex_data_analysis/pandas_building_dataset.py | MarwanAmr509/Data-Analysis | 34a48f16f6be757ed3f35cb3fc458569023c9bd8 | [
"MIT"
] | 61 | 2018-01-18T17:50:46.000Z | 2022-03-09T20:16:01.000Z | sentdex_data_analysis/pandas_building_dataset.py | MarwanAmr509/Data-Analysis | 34a48f16f6be757ed3f35cb3fc458569023c9bd8 | [
"MIT"
] | 3,689 | 2017-12-29T17:57:36.000Z | 2022-03-29T12:26:03.000Z | import quandl
import pandas as pd
api_key = "rFsSehe51RLzREtYhLfo"
# df = quandl.get('FMAC/HPI_AK', authtoken = api_key)
fifty_states = pd.read_html("https://simple.wikipedia.org/wiki/List_of_U.S._states")
for abbv in fifty_states[0][0][1:]:
print("FMAC/HPI_" + str(abbv))
| 23.416667 | 84 | 0.72242 |
36d6dbb1cf9fa3df911ae1417ed5774b8b6b8c6b | 2,324 | py | Python | aws_lambda_builders/workflows/java_maven/workflow.py | eldritchideen/aws-lambda-builders | 8bd869d9c2b83f67b4f37d45883f9436e1cb1179 | [
"Apache-2.0"
] | 88 | 2020-09-03T18:51:44.000Z | 2022-03-22T23:46:14.000Z | aws_lambda_builders/workflows/java_maven/workflow.py | eldritchideen/aws-lambda-builders | 8bd869d9c2b83f67b4f37d45883f9436e1cb1179 | [
"Apache-2.0"
] | 88 | 2020-09-01T19:22:28.000Z | 2022-03-30T01:55:36.000Z | aws_lambda_builders/workflows/java_maven/workflow.py | eldritchideen/aws-lambda-builders | 8bd869d9c2b83f67b4f37d45883f9436e1cb1179 | [
"Apache-2.0"
] | 40 | 2020-09-02T17:29:39.000Z | 2022-03-31T02:36:17.000Z | """
Java Maven Workflow
"""
from aws_lambda_builders.workflow import BaseWorkflow, Capability
from aws_lambda_builders.actions import CopySourceAction, CleanUpAction
from aws_lambda_builders.workflows.java.actions import JavaCopyDependenciesAction, JavaMoveDependenciesAction
from aws_lambda_builders.workflows.java.util... | 42.254545 | 116 | 0.75 |
6bd99c6eba0ca874b896c3c335b28ec78111e901 | 172 | py | Python | v1/items/urls.py | DucPhamTV/MaiTet | 44a1465a3239808f6640592ba666d9c5449c0ef4 | [
"MIT"
] | null | null | null | v1/items/urls.py | DucPhamTV/MaiTet | 44a1465a3239808f6640592ba666d9c5449c0ef4 | [
"MIT"
] | 15 | 2021-02-20T12:03:33.000Z | 2021-07-26T10:15:03.000Z | v1/items/urls.py | DucPhamTV/MaiTet | 44a1465a3239808f6640592ba666d9c5449c0ef4 | [
"MIT"
] | null | null | null | from rest_framework.routers import SimpleRouter
from v1.items.views import ItemViewSet
router = SimpleRouter(trailing_slash=False)
router.register('items', ItemViewSet)
| 21.5 | 47 | 0.831395 |
440b188398b16e3b21a45a5676f2f967ada33693 | 6,778 | py | Python | bindings/python/ensmallen_graph/datasets/string/comamonasaquatica.py | caufieldjh/ensmallen_graph | 14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a | [
"MIT"
] | null | null | null | bindings/python/ensmallen_graph/datasets/string/comamonasaquatica.py | caufieldjh/ensmallen_graph | 14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a | [
"MIT"
] | null | null | null | bindings/python/ensmallen_graph/datasets/string/comamonasaquatica.py | caufieldjh/ensmallen_graph | 14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a | [
"MIT"
] | null | null | null | """
This file offers the methods to automatically retrieve the graph Comamonas aquatica.
The graph is automatically retrieved from the STRING repository.
Report
---------------------
At the time of rendering these methods (please see datetime below), the graph
had the following characteristics:
Datetime: 2021-02-... | 35.486911 | 223 | 0.707583 |
7656bd9c717655f42843f8e616fc8b4ef4f25325 | 8,781 | py | Python | framework/TSA/RWD.py | yenili/raven | cc5f10e387d40219213beff05a3f72e9386034d5 | [
"Apache-2.0"
] | 1 | 2021-07-12T19:41:52.000Z | 2021-07-12T19:41:52.000Z | framework/TSA/RWD.py | yenili/raven | cc5f10e387d40219213beff05a3f72e9386034d5 | [
"Apache-2.0"
] | null | null | null | framework/TSA/RWD.py | yenili/raven | cc5f10e387d40219213beff05a3f72e9386034d5 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Battelle Energy Alliance, LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | 38.178261 | 116 | 0.676916 |
ca29a6e5822ff0c2f2f52dcfb365403314caeb60 | 46 | py | Python | end2you/models/multimodal/fusion.py | mauricege/end2you | 0d0c731e210410a1a5b561a747dbea5b0b53639d | [
"BSD-3-Clause"
] | null | null | null | end2you/models/multimodal/fusion.py | mauricege/end2you | 0d0c731e210410a1a5b561a747dbea5b0b53639d | [
"BSD-3-Clause"
] | null | null | null | end2you/models/multimodal/fusion.py | mauricege/end2you | 0d0c731e210410a1a5b561a747dbea5b0b53639d | [
"BSD-3-Clause"
] | null | null | null | # Fusion methods provided to fuse modalities.
| 23 | 45 | 0.804348 |
4bd7df19d8266c5bdd9a94c1f1e6994b17d75f6d | 756 | py | Python | class3/class3_ex1.py | ande0581/pynet | c02572236383231cb5a1a7b2892ab5e7c94238c7 | [
"Apache-2.0"
] | null | null | null | class3/class3_ex1.py | ande0581/pynet | c02572236383231cb5a1a7b2892ab5e7c94238c7 | [
"Apache-2.0"
] | null | null | null | class3/class3_ex1.py | ande0581/pynet | c02572236383231cb5a1a7b2892ab5e7c94238c7 | [
"Apache-2.0"
] | null | null | null | # SNMPwalk on Windows
# SnmpWalk.exe -r:10.40.0.1 -t:10 -c:"private" -os:1.3.6.1.2.1.2.2.1 -op:1.3.6.1.2.1.2.2.1.20
import snmp_helper
ip = '10.40.0.1'
a_user = 'mysnmpuser'
auth_key = 'myauthkey'
encrypt_key = 'myencryptkey'
snmp_user = (a_user, auth_key, encrypt_key)
my_router = (ip, 161)
systemName = '1.3.6.1.2.1.... | 28 | 93 | 0.703704 |
076cdf162d8ce46f2d17a43b464cfb52165b96b8 | 3,643 | py | Python | pardet/models/par_detectors/strongbaseline.py | wduo/pardet-pytorch | 9df9124b013728d9de4d7948d1e5a6f535c9d7e7 | [
"Apache-2.0"
] | 7 | 2020-12-06T11:14:58.000Z | 2021-03-28T08:48:07.000Z | pardet/models/par_detectors/strongbaseline.py | wduo/pardet-pytorch | 9df9124b013728d9de4d7948d1e5a6f535c9d7e7 | [
"Apache-2.0"
] | null | null | null | pardet/models/par_detectors/strongbaseline.py | wduo/pardet-pytorch | 9df9124b013728d9de4d7948d1e5a6f535c9d7e7 | [
"Apache-2.0"
] | 3 | 2020-12-06T14:24:24.000Z | 2021-11-25T09:57:53.000Z | from collections import OrderedDict
import torch
import torch.nn as nn
from ..builder import CLASSIFIERS, PARNETS, build_bockbone, build_classifier, build_loss
@CLASSIFIERS.register_module()
class BaseClassifier(nn.Module):
def __init__(self, nattr):
super().__init__()
self.logits = nn.Sequentia... | 31.136752 | 88 | 0.620093 |
8dc8ff1eaefdaf985e54b1927b1af3abe23572e7 | 2,168 | py | Python | landlab/grid/tests/test_raster_grid/test_fields.py | laijingtao/landlab | 871151bff814e672b4f09f091b6347367758c764 | [
"MIT"
] | 1 | 2015-08-17T19:29:50.000Z | 2015-08-17T19:29:50.000Z | landlab/grid/tests/test_raster_grid/test_fields.py | laijingtao/landlab | 871151bff814e672b4f09f091b6347367758c764 | [
"MIT"
] | null | null | null | landlab/grid/tests/test_raster_grid/test_fields.py | laijingtao/landlab | 871151bff814e672b4f09f091b6347367758c764 | [
"MIT"
] | 2 | 2017-07-03T20:21:13.000Z | 2018-09-06T23:58:19.000Z | import numpy as np
from numpy.testing import assert_array_equal
from nose.tools import assert_raises
from landlab import RasterModelGrid
def test_add_field_at_node():
"""Add field at nodes."""
grid = RasterModelGrid((4, 5))
grid.add_field('z', np.arange(20), at='node')
assert_array_equal(grid.at_nod... | 34.967742 | 96 | 0.694649 |
f6624017b71f6f71b3d4fd4f1d2649cdd1378df3 | 1,488 | py | Python | Day 11/part1.py | MrHarcombe/advent2015 | b14b858eef369ed2df230a7c5ebc702eed7ef524 | [
"CC0-1.0"
] | null | null | null | Day 11/part1.py | MrHarcombe/advent2015 | b14b858eef369ed2df230a7c5ebc702eed7ef524 | [
"CC0-1.0"
] | null | null | null | Day 11/part1.py | MrHarcombe/advent2015 | b14b858eef369ed2df230a7c5ebc702eed7ef524 | [
"CC0-1.0"
] | null | null | null | import re
password = "abcdefgh"
password = "ghijklmn"
password = "vzbxkghb" # part 1 input
password = "vzbxxyzz" # part 2 input
#sequence = re.compile(r'(?:a(?=b)|b(?=c)|c(?=d)|d(?=e)|e(?=f)|f(?=g)|g(?=h)|h(?=i)|i(?=j)|j(?=k)|k(?=l)|l(?=m)|m(?=n)|n(?=o)|o(?=p)|p(?=q)|q(?=r)|r(?=s)|s(?=t)|t(?=u)|u(?=v)|v(?=w)|w(?=x)|x... | 27.054545 | 209 | 0.603495 |
df27071f0bf39237294199481c51c72aa646ad28 | 782 | py | Python | onfido/resources/applicants.py | daaain/onfido-python | 62675c97cf7d03de2ab3ed4b07ec0bde9e2b1a5d | [
"MIT"
] | null | null | null | onfido/resources/applicants.py | daaain/onfido-python | 62675c97cf7d03de2ab3ed4b07ec0bde9e2b1a5d | [
"MIT"
] | null | null | null | onfido/resources/applicants.py | daaain/onfido-python | 62675c97cf7d03de2ab3ed4b07ec0bde9e2b1a5d | [
"MIT"
] | null | null | null | from ..resource import Resource
class Applicants(Resource):
def create(self, request_body:dict):
return self.post("applicants/", **request_body)
def update(self, applicant_id:str, request_body:dict):
return self.put(f"applicants/{applicant_id}", request_body)
def find(self, applicant_id:... | 32.583333 | 71 | 0.682864 |
9e76fec151908142195eb38f84582544eeddb7bd | 3,806 | py | Python | test/perc.py | kariminf/MultiNetSum | b3a66d13049d4501c7e07243af45e8c56512d624 | [
"Apache-2.0"
] | 1 | 2019-02-24T22:15:44.000Z | 2019-02-24T22:15:44.000Z | test/perc.py | kariminf/MultiNetSum | b3a66d13049d4501c7e07243af45e8c56512d624 | [
"Apache-2.0"
] | 6 | 2018-07-24T13:52:45.000Z | 2019-08-23T22:10:16.000Z | test/perc.py | kariminf/MultiNetSum | b3a66d13049d4501c7e07243af45e8c56512d624 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2018 Abdelkrime Aries <kariminfo0@gmail.com>
#
# ---- AUTHORS ----
# 2018 Abdelkrime Aries <kariminfo0@gmail.com>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You ma... | 26.802817 | 97 | 0.582764 |
6f9559d27dc3428c0f2e5d230a21306727376bca | 745 | py | Python | ai_chan/util.py | kagyuu/ai-chan | 1fa5c803ca9fefb1ccf6c9195c8f8015da56bda1 | [
"MIT"
] | null | null | null | ai_chan/util.py | kagyuu/ai-chan | 1fa5c803ca9fefb1ccf6c9195c8f8015da56bda1 | [
"MIT"
] | null | null | null | ai_chan/util.py | kagyuu/ai-chan | 1fa5c803ca9fefb1ccf6c9195c8f8015da56bda1 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
def debug(msg, *args):
print(msg.format(*args))
def least_square_average(d, y):
"""
自乗誤差平均を求めます
:param d:教師データ(expected)
:param y:予想(actual)
:return: 自乗誤差平均
"""
return (np.sum(np.square(d - y)) / 2.0) / float(len(d))
def draw_hist... | 23.28125 | 68 | 0.620134 |
3f56f1de768b233583ce4c485e721211d46ae025 | 1,412 | py | Python | url_shortener/views.py | teremterem/django_url_shortener | 2da496a9e8287e6291d47227b72e92ee05d4f0b1 | [
"MIT"
] | 2 | 2020-09-01T19:05:23.000Z | 2020-09-02T13:14:32.000Z | url_shortener/views.py | teremterem/django_url_shortener | 2da496a9e8287e6291d47227b72e92ee05d4f0b1 | [
"MIT"
] | 15 | 2020-09-02T00:30:38.000Z | 2020-09-19T10:06:19.000Z | url_shortener/views.py | teremterem/django_url_shortener | 2da496a9e8287e6291d47227b72e92ee05d4f0b1 | [
"MIT"
] | null | null | null | import logging
from django.conf import settings
from django.http import HttpResponseRedirect, Http404
from django.shortcuts import render, redirect
from url_shortener.shortener import shortener_storage, shortener_utils
log = logging.getLogger(__name__)
def index(request):
last_short_url = request.session.pop('... | 32.837209 | 115 | 0.73796 |
0ab6f6687f2ca137dfb5899725d27acccb505b3e | 42,063 | py | Python | lib/matplotlib/contour.py | mattfoster/matplotlib | 0b47697b19b77226c633ec6a3d74a2199a153315 | [
"PSF-2.0",
"BSD-3-Clause"
] | 1 | 2016-05-08T18:33:12.000Z | 2016-05-08T18:33:12.000Z | lib/matplotlib/contour.py | mattfoster/matplotlib | 0b47697b19b77226c633ec6a3d74a2199a153315 | [
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null | lib/matplotlib/contour.py | mattfoster/matplotlib | 0b47697b19b77226c633ec6a3d74a2199a153315 | [
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null | """
These are classes to support contour plotting and
labelling for the axes class
"""
from __future__ import division
import warnings
import matplotlib as mpl
import numpy as np
from numpy import ma
import matplotlib._cntr as _cntr
import matplotlib.path as path
import matplotlib.ticker as ticker
import matplotlib.cm... | 38.100543 | 85 | 0.564035 |
52ac39d599cc31d8097d3e4f8962cb41a469ed80 | 11,450 | py | Python | mlflow/store/dbmodels/models.py | margaret-databricks/mlflow | 25dcf038e6a6a6c4e26ff3f55391eaedeeb25293 | [
"Apache-2.0"
] | null | null | null | mlflow/store/dbmodels/models.py | margaret-databricks/mlflow | 25dcf038e6a6a6c4e26ff3f55391eaedeeb25293 | [
"Apache-2.0"
] | null | null | null | mlflow/store/dbmodels/models.py | margaret-databricks/mlflow | 25dcf038e6a6a6c4e26ff3f55391eaedeeb25293 | [
"Apache-2.0"
] | null | null | null | import time
from sqlalchemy.orm import relationship, backref
from sqlalchemy import (
Column, String, Float, ForeignKey, Integer, CheckConstraint,
BigInteger, PrimaryKeyConstraint)
from sqlalchemy.ext.declarative import declarative_base
from mlflow.entities import (
Experiment, RunTag, Metric, Param, RunDat... | 35.122699 | 100 | 0.602795 |
e749ae0a152fbfbdd73e27d215fc707cb36fb963 | 1,366 | py | Python | ingenico/direct/sdk/domain/fixed_list_validator.py | Ingenico/direct-sdk-python2 | 1c5c08fe2281aa99bfe8e8e031071600cb3be11d | [
"Apache-2.0"
] | null | null | null | ingenico/direct/sdk/domain/fixed_list_validator.py | Ingenico/direct-sdk-python2 | 1c5c08fe2281aa99bfe8e8e031071600cb3be11d | [
"Apache-2.0"
] | null | null | null | ingenico/direct/sdk/domain/fixed_list_validator.py | Ingenico/direct-sdk-python2 | 1c5c08fe2281aa99bfe8e8e031071600cb3be11d | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# This class was auto-generated from the API references found at
# https://support.direct.ingenico.com/documentation/api/reference/
#
from ingenico.direct.sdk.data_object import DataObject
class FixedListValidator(DataObject):
__allowed_values = None
@property
def allowed_value... | 32.52381 | 97 | 0.644949 |
662f4208b526f4ac84a3e39af6d0244fbb63218b | 1,646 | py | Python | jigls/jeditor/operations/nodefactory.py | ironWolf1990/python-jils | 87390cf871329e9a47f985b4f0c9fc9506bfdb91 | [
"MIT"
] | 2 | 2021-04-08T14:57:58.000Z | 2021-07-26T00:57:49.000Z | jigls/jeditor/operations/nodefactory.py | ironWolf1990/python-jils | 87390cf871329e9a47f985b4f0c9fc9506bfdb91 | [
"MIT"
] | null | null | null | jigls/jeditor/operations/nodefactory.py | ironWolf1990/python-jils | 87390cf871329e9a47f985b4f0c9fc9506bfdb91 | [
"MIT"
] | 3 | 2021-05-19T18:48:57.000Z | 2021-07-26T00:55:23.000Z | # import logging
# from typing import Dict, Optional
# from jigls.jeditor.base.nodebase import JBaseNode
# from jigls.jeditor.constants import JCONSTANTS
# from jigls.jeditor.ui.graphicnode import JGraphicsNode
# from jigls.logger import logger
# logger = logging.getLogger(__name__)
# class JNodeFactory:
# def ... | 30.481481 | 96 | 0.597813 |
84ee68733e5167ff90d0886ff60ca505713d9771 | 480 | py | Python | recipes/tinyply/all/test_package/conanfile.py | rockandsalt/conan-center-index | d739adcec3e4dd4c250eff559ceb738e420673dd | [
"MIT"
] | 562 | 2019-09-04T12:23:43.000Z | 2022-03-29T16:41:43.000Z | recipes/tinyply/all/test_package/conanfile.py | rockandsalt/conan-center-index | d739adcec3e4dd4c250eff559ceb738e420673dd | [
"MIT"
] | 9,799 | 2019-09-04T12:02:11.000Z | 2022-03-31T23:55:45.000Z | recipes/tinyply/all/test_package/conanfile.py | rockandsalt/conan-center-index | d739adcec3e4dd4c250eff559ceb738e420673dd | [
"MIT"
] | 1,126 | 2019-09-04T11:57:46.000Z | 2022-03-31T16:43:38.000Z | import os
from conans import ConanFile, CMake, tools
class TestPackageConan(ConanFile):
settings = "os", "compiler", "build_type", "arch"
generators = "cmake", "cmake_find_package_multi"
def build(self):
cmake = CMake(self)
cmake.configure()
cmake.build()
def test(self):
... | 26.666667 | 58 | 0.641667 |
36ec3873f8a1b4a2a578b18b0fe3fb1d4e845fa6 | 7,218 | py | Python | src/olympia/versions/views.py | atiqueahmedziad/addons-server | 6e1cc00bf15d245fbcdddf618286bba943731e45 | [
"BSD-3-Clause"
] | 2 | 2019-08-18T13:00:40.000Z | 2019-11-17T02:18:04.000Z | src/olympia/versions/views.py | atiqueahmedziad/addons-server | 6e1cc00bf15d245fbcdddf618286bba943731e45 | [
"BSD-3-Clause"
] | null | null | null | src/olympia/versions/views.py | atiqueahmedziad/addons-server | 6e1cc00bf15d245fbcdddf618286bba943731e45 | [
"BSD-3-Clause"
] | null | null | null | import os
from django import http
from django.db.transaction import non_atomic_requests
from django.shortcuts import get_object_or_404, redirect
import olympia.core.logger
from olympia import amo
from olympia.access import acl
from olympia.addons.decorators import (
addon_view_factory, owner_or_unlisted_reviewer... | 37.59375 | 79 | 0.667636 |
dcf9d9bcdcf6324de552bc3b65ea9012cfa88f70 | 7,227 | py | Python | image_transfer_learning/image_processing.py | jonathan-smith-1/image_transfer_learning | 9020ecfa45e1591b9ad6ed2abe2a2e89a180edd4 | [
"MIT"
] | null | null | null | image_transfer_learning/image_processing.py | jonathan-smith-1/image_transfer_learning | 9020ecfa45e1591b9ad6ed2abe2a2e89a180edd4 | [
"MIT"
] | null | null | null | image_transfer_learning/image_processing.py | jonathan-smith-1/image_transfer_learning | 9020ecfa45e1591b9ad6ed2abe2a2e89a180edd4 | [
"MIT"
] | null | null | null | """Image processing functions."""
import os
import pickle
import numpy as np
import tensorflow as tf
import tensorflow_hub as hub
from skimage.io import imread
from skimage.transform import resize
from PIL import ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True # Needed for large images
def make_square(img):
""... | 31.697368 | 78 | 0.555556 |
29e41964c1afa023ead9ff36ae2b4a3b278c743f | 17,734 | py | Python | tccli/services/cloudhsm/cloudhsm_client.py | ws0416/tencentcloud-cli | 0a90fa77c8be1efa30b196a3eeb31b8be1f6a325 | [
"Apache-2.0"
] | null | null | null | tccli/services/cloudhsm/cloudhsm_client.py | ws0416/tencentcloud-cli | 0a90fa77c8be1efa30b196a3eeb31b8be1f6a325 | [
"Apache-2.0"
] | null | null | null | tccli/services/cloudhsm/cloudhsm_client.py | ws0416/tencentcloud-cli | 0a90fa77c8be1efa30b196a3eeb31b8be1f6a325 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import json
import tccli.options_define as OptionsDefine
import tccli.format_output as FormatOutput
from tccli import __version__
from tccli.utils import Utils
from tccli.exceptions import ConfigurationError
from tencentcloud.common import credential
from tencentcloud.common.profile.ht... | 41.629108 | 105 | 0.71924 |
497b41d573fe318423e88053194d710303174585 | 617 | py | Python | allauth/socialaccount/providers/pinterest/tests.py | joebos/django-allauth | cb624a2fe659e58ea343b9b16159427ce38aff69 | [
"MIT"
] | null | null | null | allauth/socialaccount/providers/pinterest/tests.py | joebos/django-allauth | cb624a2fe659e58ea343b9b16159427ce38aff69 | [
"MIT"
] | null | null | null | allauth/socialaccount/providers/pinterest/tests.py | joebos/django-allauth | cb624a2fe659e58ea343b9b16159427ce38aff69 | [
"MIT"
] | null | null | null | from allauth.socialaccount.tests import create_oauth2_tests
from allauth.tests import MockedResponse
from allauth.socialaccount.providers import registry
from .provider import PinterestProvider
class PinterestTests(create_oauth2_tests(
registry.by_id(PinterestProvider.id))):
def get_mocked_response(self... | 28.045455 | 64 | 0.742301 |
3ce93d16336e8e5b4da7ab0bb668030f9f2c50ae | 7,059 | py | Python | build/android/pylib/gtest/local_device_gtest_run.py | kjthegod/chromium | cf940f7f418436b77e15b1ea23e6fa100ca1c91a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 1 | 2019-11-28T10:46:52.000Z | 2019-11-28T10:46:52.000Z | build/android/pylib/gtest/local_device_gtest_run.py | kjthegod/chromium | cf940f7f418436b77e15b1ea23e6fa100ca1c91a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | build/android/pylib/gtest/local_device_gtest_run.py | kjthegod/chromium | cf940f7f418436b77e15b1ea23e6fa100ca1c91a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 2 | 2015-03-27T11:15:39.000Z | 2016-08-17T14:19:56.000Z | # Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import logging
import os
from pylib import constants
from pylib import ports
from pylib.base import test_run
from pylib.device import device_errors
from py... | 33.77512 | 79 | 0.710582 |
3d8dbc633affb92750227abbfd47d9f2008eb4ae | 1,325 | py | Python | lib/timers_test.py | jakerogerz/glazier | 10ee390e79c5fe65933a2699da851e27c03f8c60 | [
"Apache-2.0"
] | null | null | null | lib/timers_test.py | jakerogerz/glazier | 10ee390e79c5fe65933a2699da851e27c03f8c60 | [
"Apache-2.0"
] | null | null | null | lib/timers_test.py | jakerogerz/glazier | 10ee390e79c5fe65933a2699da851e27c03f8c60 | [
"Apache-2.0"
] | 1 | 2019-11-25T10:56:20.000Z | 2019-11-25T10:56:20.000Z | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 29.444444 | 74 | 0.722264 |
69ee73633de7d6ecb6e3c3d8a417e05a459ec99d | 3,516 | py | Python | src/fonduer/features/feature_libs/visual_features.py | Prabh06/fonduer | c376dfb31f0595b7fe992e9ae7eaf23397125d65 | [
"MIT"
] | null | null | null | src/fonduer/features/feature_libs/visual_features.py | Prabh06/fonduer | c376dfb31f0595b7fe992e9ae7eaf23397125d65 | [
"MIT"
] | null | null | null | src/fonduer/features/feature_libs/visual_features.py | Prabh06/fonduer | c376dfb31f0595b7fe992e9ae7eaf23397125d65 | [
"MIT"
] | null | null | null | from fonduer.candidates.models import TemporarySpan
from fonduer.utils.data_model_utils import (
get_visual_aligned_lemmas,
is_horz_aligned,
is_vert_aligned,
is_vert_aligned_center,
is_vert_aligned_left,
is_vert_aligned_right,
same_page,
)
FEAT_PRE = "VIZ_"
DEF_VALUE = 1
unary_vizlib_feats... | 34.135922 | 79 | 0.595563 |
f5a74cfcbf5a3c58f466d9bd1ca84e6a913671e9 | 600 | py | Python | tests/sanic/app.py | messa/graphql-server | f5e8302d1320b013b441844df059e90ae83d04a0 | [
"MIT"
] | null | null | null | tests/sanic/app.py | messa/graphql-server | f5e8302d1320b013b441844df059e90ae83d04a0 | [
"MIT"
] | 2 | 2019-05-15T20:33:39.000Z | 2019-05-15T22:44:22.000Z | tests/sanic/app.py | messa/graphql-server | f5e8302d1320b013b441844df059e90ae83d04a0 | [
"MIT"
] | 2 | 2019-05-15T18:58:21.000Z | 2019-06-30T09:56:11.000Z | from urllib.parse import urlencode
from sanic import Sanic
from sanic.testing import SanicTestClient
from graphql_server.sanic import GraphQLView
from .schema import Schema
def create_app(path="/graphql", **kwargs):
app = Sanic(__name__)
app.debug = True
schema = kwargs.pop("schema", None) or Schema
... | 20.689655 | 69 | 0.705 |
e422711132c3cb2156f113d5ac2ea1acdeaeb716 | 36,434 | py | Python | costmap_dataset.py | Czworldy/GP_traj | 96261f39a5a322092e3a6be98938bb4601f0f746 | [
"MIT"
] | 1 | 2021-06-08T06:09:55.000Z | 2021-06-08T06:09:55.000Z | costmap_dataset.py | Czworldy/GP_traj | 96261f39a5a322092e3a6be98938bb4601f0f746 | [
"MIT"
] | null | null | null | costmap_dataset.py | Czworldy/GP_traj | 96261f39a5a322092e3a6be98938bb4601f0f746 | [
"MIT"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import glob
import random
import numpy as np
from PIL import Image
import torch
from torch.utils.data import Dataset
import torchvision.transforms as transforms
import copy
from scipy.special import comb
np.set_printoptions(suppress=True, precision=4, linewidth=65535)
i... | 40.037363 | 187 | 0.512433 |
17cfa0bbbc59e69720514191fc68640d906b0bb1 | 821 | py | Python | {{cookiecutter.repo_name}}/{{cookiecutter.repo_name}}/settings/local.py | uhuramedia/cookiecutter-django | 8d21b960661aea42bb9e447193321b574b1a1e9f | [
"BSD-3-Clause"
] | 2 | 2015-04-17T22:00:02.000Z | 2015-08-14T03:53:33.000Z | {{cookiecutter.repo_name}}/{{cookiecutter.repo_name}}/settings/local.py | uhuramedia/cookiecutter-django | 8d21b960661aea42bb9e447193321b574b1a1e9f | [
"BSD-3-Clause"
] | 38 | 2015-01-13T13:20:49.000Z | 2017-02-08T13:04:34.000Z | {{cookiecutter.repo_name}}/{{cookiecutter.repo_name}}/settings/local.py | uhuramedia/cookiecutter-django | 8d21b960661aea42bb9e447193321b574b1a1e9f | [
"BSD-3-Clause"
] | 8 | 2015-03-31T09:32:38.000Z | 2018-06-29T02:58:53.000Z | # -*- coding: utf-8 -*-
from base import *
DEBUG = True
TEMPLATE_DEBUG = DEBUG
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.mysql',
'NAME': '{{cookiecutter.project_name}}',
'HOST': 'localhost',
'USER': 'root',
'PASSWORD': '',
'CONN_MAX_AGE': 600,
}
... | 19.547619 | 74 | 0.628502 |
6af6d8c9b85c91ea3df80d2c4cdaac9c10cfc6a4 | 5,530 | py | Python | networking_odl/ml2/port_status_update.py | gokarslan/networking-odl2 | 6a6967832b2c02dfcff6a9f0ab6e36472b849ce8 | [
"Apache-2.0"
] | null | null | null | networking_odl/ml2/port_status_update.py | gokarslan/networking-odl2 | 6a6967832b2c02dfcff6a9f0ab6e36472b849ce8 | [
"Apache-2.0"
] | null | null | null | networking_odl/ml2/port_status_update.py | gokarslan/networking-odl2 | 6a6967832b2c02dfcff6a9f0ab6e36472b849ce8 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2017 OpenStack Foundation
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | 40.661765 | 79 | 0.647197 |
77cbf83eb057b9552ea77d2175a56e8593060943 | 6,122 | py | Python | examples/inverted_pendulum/simulate.py | ashander/opty | 85f8c5d75c924d393edcbc07324088c3266bca31 | [
"BSD-2-Clause-FreeBSD"
] | 63 | 2015-03-07T19:38:10.000Z | 2022-03-31T17:17:53.000Z | examples/inverted_pendulum/simulate.py | ashander/opty | 85f8c5d75c924d393edcbc07324088c3266bca31 | [
"BSD-2-Clause-FreeBSD"
] | 52 | 2015-02-15T17:24:03.000Z | 2021-06-18T16:43:45.000Z | examples/inverted_pendulum/simulate.py | ashander/opty | 85f8c5d75c924d393edcbc07324088c3266bca31 | [
"BSD-2-Clause-FreeBSD"
] | 22 | 2015-05-25T21:28:16.000Z | 2022-03-14T03:55:57.000Z | #!/usr/bin/env/python
# standard lib
from collections import OrderedDict
# external
import numpy as np
from scipy.interpolate import interp1d
from scipy.linalg import solve_continuous_are
from pydy.codegen.ode_function_generators import generate_ode_function
from opty.utils import controllable, sum_of_sines
# local
... | 31.720207 | 80 | 0.63084 |
81636fbcec24e44944d4e59569cfa3b8194ff0f9 | 11,736 | py | Python | train_and_test.py | apardyl/ProtoPNet | b2bbd7284bfc84a37385c0e975408c68cdf64205 | [
"MIT"
] | 1 | 2021-03-20T13:57:03.000Z | 2021-03-20T13:57:03.000Z | train_and_test.py | apardyl/ProtoPNet | b2bbd7284bfc84a37385c0e975408c68cdf64205 | [
"MIT"
] | null | null | null | train_and_test.py | apardyl/ProtoPNet | b2bbd7284bfc84a37385c0e975408c68cdf64205 | [
"MIT"
] | null | null | null | from enum import Enum
import numpy as np
import torch
from matplotlib import pyplot as plt
from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay, roc_auc_score, precision_score, recall_score, \
f1_score, roc_curve
from torch.utils.tensorboard import SummaryWriter
import torch.nn.functional as func
f... | 39.250836 | 124 | 0.628323 |
e7e9e8e05037a0d368709d20745c3d3e79794f66 | 933 | py | Python | test/record/parser/test_response_whois_jprs_jp_jp_property_status_suspended.py | huyphan/pyyawhois | 77fb2f73a9c67989f1d41d98f37037406a69d136 | [
"MIT"
] | null | null | null | test/record/parser/test_response_whois_jprs_jp_jp_property_status_suspended.py | huyphan/pyyawhois | 77fb2f73a9c67989f1d41d98f37037406a69d136 | [
"MIT"
] | null | null | null | test/record/parser/test_response_whois_jprs_jp_jp_property_status_suspended.py | huyphan/pyyawhois | 77fb2f73a9c67989f1d41d98f37037406a69d136 | [
"MIT"
] | null | null | null |
# This file is autogenerated. Do not edit it manually.
# If you want change the content of this file, edit
#
# spec/fixtures/responses/whois.jprs.jp/jp/property_status_suspended
#
# and regenerate the tests with the following script
#
# $ scripts/generate_tests.py
#
from nose.tools import *
from dateutil.parser i... | 29.15625 | 95 | 0.702036 |
2c59ee67d4a8e9ae49bf7eadec2d1b1e9d1e7fce | 10,349 | py | Python | python/paddle/hapi/dynamic_flops.py | wwqgtxx/Paddle | 109ca9d250e37e723e364366e8402c307b110169 | [
"Apache-2.0"
] | 17,085 | 2016-11-18T06:40:52.000Z | 2022-03-31T22:52:32.000Z | python/paddle/hapi/dynamic_flops.py | betterpig/paddle_npu | 74ad4b6a700795d5edce8dd49d6c2df6f15e8935 | [
"Apache-2.0"
] | 29,769 | 2016-11-18T06:35:22.000Z | 2022-03-31T16:46:15.000Z | python/paddle/hapi/dynamic_flops.py | betterpig/paddle_npu | 74ad4b6a700795d5edce8dd49d6c2df6f15e8935 | [
"Apache-2.0"
] | 4,641 | 2016-11-18T07:43:33.000Z | 2022-03-31T15:15:02.000Z | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | 35.934028 | 122 | 0.555996 |
5e091d2b5ed8ce4184e6fcd07c64e73d85976f17 | 5,313 | py | Python | tests/core/test_results.py | ameliatqy/pytorch-lightning | ca18e11f6efe822098c79e7d9124b08a55bcd908 | [
"Apache-2.0"
] | null | null | null | tests/core/test_results.py | ameliatqy/pytorch-lightning | ca18e11f6efe822098c79e7d9124b08a55bcd908 | [
"Apache-2.0"
] | null | null | null | tests/core/test_results.py | ameliatqy/pytorch-lightning | ca18e11f6efe822098c79e7d9124b08a55bcd908 | [
"Apache-2.0"
] | null | null | null | import sys
from pathlib import Path
import pytest
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from pytorch_lightning import Trainer, seed_everything
from pytorch_lightning.core.step_result import Result, TrainResult, EvalResult
import tests.base.develop_utils as tutils
from tests.... | 30.016949 | 149 | 0.675325 |
919f7c3181b654b66f6876d0e9177ea641dfb488 | 3,554 | py | Python | api/stops.py | TiltShiftNL/tourbuzz-geo-api | 133cd723e1885d763247b42876b58c58735be820 | [
"MIT"
] | null | null | null | api/stops.py | TiltShiftNL/tourbuzz-geo-api | 133cd723e1885d763247b42876b58c58735be820 | [
"MIT"
] | 1 | 2020-07-28T09:14:01.000Z | 2020-07-28T10:14:55.000Z | api/stops.py | TiltShiftNL/tourbuzz-geo-api | 133cd723e1885d763247b42876b58c58735be820 | [
"MIT"
] | null | null | null | import json
from .models import DbStop
from .database import SessionLocal, engine
from .settings import settings
from geoalchemy2 import func
def get_base_query():
db = SessionLocal()
return db.query(
DbStop.id,
DbStop.source_url,
DbStop.source_name,
DbStop.source_id,
D... | 28.206349 | 88 | 0.481711 |
c14a644baea3af34d73c8492fc38398c340e8c86 | 166 | py | Python | info/urls.py | ycy-tw/python-django-stock | 263a926ae6aa8248fd4c4e8d767c5dc9d522e4c0 | [
"MIT"
] | 2 | 2021-04-25T07:01:01.000Z | 2021-05-07T10:17:26.000Z | info/urls.py | ycy-tw/python-django-stock | 263a926ae6aa8248fd4c4e8d767c5dc9d522e4c0 | [
"MIT"
] | null | null | null | info/urls.py | ycy-tw/python-django-stock | 263a926ae6aa8248fd4c4e8d767c5dc9d522e4c0 | [
"MIT"
] | null | null | null | from django.urls import path, include
from .views import (
basic_variable_view,
)
urlpatterns = [
path('<int:symbol>/', basic_variable_view, name='info'),
]
| 18.444444 | 60 | 0.698795 |
72cc7e4d231809b3f0c8ae9421cd941f2c6054d5 | 15,979 | py | Python | src/aleph/chains/common.py | aleph-im/py-aleph | a18beb8b4eba36887ca85054ed2471c3680bdfde | [
"MIT"
] | null | null | null | src/aleph/chains/common.py | aleph-im/py-aleph | a18beb8b4eba36887ca85054ed2471c3680bdfde | [
"MIT"
] | null | null | null | src/aleph/chains/common.py | aleph-im/py-aleph | a18beb8b4eba36887ca85054ed2471c3680bdfde | [
"MIT"
] | null | null | null | import asyncio
import json
import logging
from dataclasses import asdict
from enum import IntEnum
from typing import Dict, Optional, Tuple, List
from aleph_message.models import MessageType, ItemType
from bson import ObjectId
from pymongo import UpdateOne
from aleph.config import get_config
from aleph.exceptions impo... | 35.827354 | 88 | 0.610489 |
ae031947aa305d704ac5713b165fe51ba01c3a70 | 1,870 | py | Python | app/models.py | andyhoang7/flaskFBlogin | 773b85842eb0e4ab6c0671402058a3cc808b3063 | [
"MIT"
] | null | null | null | app/models.py | andyhoang7/flaskFBlogin | 773b85842eb0e4ab6c0671402058a3cc808b3063 | [
"MIT"
] | null | null | null | app/models.py | andyhoang7/flaskFBlogin | 773b85842eb0e4ab6c0671402058a3cc808b3063 | [
"MIT"
] | null | null | null | from flask_sqlalchemy import SQLAlchemy
from flask_login import LoginManager, UserMixin
from flask_dance.consumer.storage.sqla import OAuthConsumerMixin
db = SQLAlchemy()
class User(UserMixin, db.Model):
__tablename__="users"
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(256), ... | 28.333333 | 83 | 0.703743 |
920441c303dc0b3ebd8084397e67015bde2180cb | 6,286 | py | Python | kubernetes/client/models/v1beta1_role_list.py | anemerovsky-essextec/python | 6e40b9169b27c3f1f9422c0f6dd1cd9caef8d57c | [
"Apache-2.0"
] | null | null | null | kubernetes/client/models/v1beta1_role_list.py | anemerovsky-essextec/python | 6e40b9169b27c3f1f9422c0f6dd1cd9caef8d57c | [
"Apache-2.0"
] | null | null | null | kubernetes/client/models/v1beta1_role_list.py | anemerovsky-essextec/python | 6e40b9169b27c3f1f9422c0f6dd1cd9caef8d57c | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.12.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re... | 29.650943 | 281 | 0.596246 |
75b5a85adfc584b7fe8b7f8b95d1161720cefce9 | 1,047 | py | Python | Testing/urls.py | DudaEugen/JustTesting | 7b62c7f5d1d918c3fe82bf00aff4009212427a6f | [
"MIT"
] | null | null | null | Testing/urls.py | DudaEugen/JustTesting | 7b62c7f5d1d918c3fe82bf00aff4009212427a6f | [
"MIT"
] | null | null | null | Testing/urls.py | DudaEugen/JustTesting | 7b62c7f5d1d918c3fe82bf00aff4009212427a6f | [
"MIT"
] | null | null | null | from django.conf.urls import url
from .views import *
urlpatterns = [
url(r'^start(?:=(?P<test_pk>\d+))?$', TestingSessionCreateView.as_view(), name='create testing session'),
url(r'^session=(?P<pk>\d+)$', TestingView.as_view(), name='testing'),
url(r'^session=(?P<pk>\d+)/close$', CloseTestingSessionView.... | 58.166667 | 109 | 0.646609 |
ac2c781e3e7704031454966ab93612199d134b7d | 194 | py | Python | empyror/config.py | GoogleGenius/empyror | c0a2db376e1e21eaa42ffda52b38ff5308e70c59 | [
"Apache-2.0"
] | null | null | null | empyror/config.py | GoogleGenius/empyror | c0a2db376e1e21eaa42ffda52b38ff5308e70c59 | [
"Apache-2.0"
] | null | null | null | empyror/config.py | GoogleGenius/empyror | c0a2db376e1e21eaa42ffda52b38ff5308e70c59 | [
"Apache-2.0"
] | null | null | null | import os
from dotenv import load_dotenv # type: ignore
import hikari
load_dotenv()
TOKEN: str = os.environ["TOKEN"]
GUILD_ID: hikari.Snowflake = hikari.Snowflake(os.environ["GUILD_ID"])
| 14.923077 | 69 | 0.747423 |
61622c0fa73510da21a8f448d471b45a079a17b1 | 46,877 | py | Python | test_ghstack.py | pietern/ghstack | c524683caaa525a084a9f980868ce003213ed5e9 | [
"MIT"
] | 1 | 2020-06-07T02:30:21.000Z | 2020-06-07T02:30:21.000Z | test_ghstack.py | pietern/ghstack | c524683caaa525a084a9f980868ce003213ed5e9 | [
"MIT"
] | null | null | null | test_ghstack.py | pietern/ghstack | c524683caaa525a084a9f980868ce003213ed5e9 | [
"MIT"
] | null | null | null | from __future__ import print_function
import unittest
import subprocess
import os
import shutil
import tempfile
import re
import logging
import sys
import contextlib
import io
from typing import ClassVar, Dict, NewType, List, Tuple, Iterator
import ghstack.expecttest as expecttest
import ghstack.submit
import ghstac... | 27.607185 | 139 | 0.545022 |
d3a5607495bef8529749795e700e48b7bb9b6cd9 | 1,920 | py | Python | billboard/app.py | setrofim/billboard | acb7d3e0a26c1c42def85a96ec33cd895c8a7ead | [
"BSD-3-Clause"
] | 1 | 2018-08-01T13:03:22.000Z | 2018-08-01T13:03:22.000Z | billboard/app.py | setrofim/billboard | acb7d3e0a26c1c42def85a96ec33cd895c8a7ead | [
"BSD-3-Clause"
] | 2 | 2016-04-21T14:11:28.000Z | 2018-06-28T15:05:59.000Z | billboard/app.py | setrofim/billboard | acb7d3e0a26c1c42def85a96ec33cd895c8a7ead | [
"BSD-3-Clause"
] | 2 | 2017-02-26T17:30:11.000Z | 2018-06-29T15:35:14.000Z | import os
import sys
import argparse
import signal
import tempfile
import logging
from PyQt4.QtGui import QApplication
from billboard.billboard import Billboard
from billboard.display import BillboardDisplay
from billboard.server import Server
from billboard.sources.reddit import RedditSource
def parse_args():
... | 29.538462 | 96 | 0.614063 |
e45c50cb815c85c6891c49a5bb267e0b6f87628d | 352 | py | Python | configs/deeplabv3/deeplabv3_r50a-d8_512x512_20k_sn6_sar_pro.py | yoyoyoohh/spacenet6 | 57829afb6a642d96c30c42434929080b6d927fb4 | [
"Apache-2.0"
] | null | null | null | configs/deeplabv3/deeplabv3_r50a-d8_512x512_20k_sn6_sar_pro.py | yoyoyoohh/spacenet6 | 57829afb6a642d96c30c42434929080b6d927fb4 | [
"Apache-2.0"
] | null | null | null | configs/deeplabv3/deeplabv3_r50a-d8_512x512_20k_sn6_sar_pro.py | yoyoyoohh/spacenet6 | 57829afb6a642d96c30c42434929080b6d927fb4 | [
"Apache-2.0"
] | null | null | null | '''
Author: Shuailin Chen
Created Date: 2021-09-14
Last Modified: 2021-09-25
content:
'''
_base_ = [
'../_base_/models/deeplabv3_r50a-d8.py',
'../_base_/datasets/sn6_sar_pro.py', '../_base_/default_runtime.py',
'../_base_/schedules/schedule_20k.py'
]
model = dict(
decode_head=dict(num_classes=2), auxi... | 25.142857 | 72 | 0.696023 |
0e179db186b5c9e67e4de1145e642ef8f6563b9c | 8,632 | py | Python | chainer/functions/normalization/batch_renormalization.py | takeratta/chainer | 02686e98cd6dc8f20979a1f3a79130f076cbfc6c | [
"MIT"
] | 2 | 2018-02-05T07:25:48.000Z | 2018-08-28T20:29:45.000Z | chainer/functions/normalization/batch_renormalization.py | takeratta/chainer | 02686e98cd6dc8f20979a1f3a79130f076cbfc6c | [
"MIT"
] | null | null | null | chainer/functions/normalization/batch_renormalization.py | takeratta/chainer | 02686e98cd6dc8f20979a1f3a79130f076cbfc6c | [
"MIT"
] | 1 | 2018-08-23T01:34:57.000Z | 2018-08-23T01:34:57.000Z | import numpy
from chainer import configuration
from chainer import cuda
from chainer import function
from chainer.utils import type_check
def _as4darray(arr):
if arr.ndim == 0:
return arr.reshape(1, 1, 1, 1)
elif arr.ndim == 4:
return arr
else:
return arr.reshape(arr.shape[0], -1... | 38.19469 | 82 | 0.542632 |
2b18cdeebcb568cfd90558ce253bf78195162f62 | 4,450 | py | Python | branches/g3d-8.0-64ffmpeg-win/bin/ice/copyifnewer.py | brown-ccv/VRG3D | 0854348453ac150b27a8ae89024ef57360f15d45 | [
"BSD-3-Clause"
] | null | null | null | branches/g3d-8.0-64ffmpeg-win/bin/ice/copyifnewer.py | brown-ccv/VRG3D | 0854348453ac150b27a8ae89024ef57360f15d45 | [
"BSD-3-Clause"
] | null | null | null | branches/g3d-8.0-64ffmpeg-win/bin/ice/copyifnewer.py | brown-ccv/VRG3D | 0854348453ac150b27a8ae89024ef57360f15d45 | [
"BSD-3-Clause"
] | null | null | null | # copyifnewer.py
#
#
import re, string
from utils import *
_excludeDirPatterns = \
['^\.',\
'^#',\
'~$',\
'^\.svn$',\
'^\.git$',\
'^CVS$', \
'^Debug$', \
'^Release$', \
'^graveyard$', \
'^tmp$', \
'^temp$', \
'^\.icompile-temp$', \
'^\.ice-tmp$', \
... | 26.807229 | 98 | 0.577079 |
7ce9bb2076104e2c919ca2bace341dc0e69a68b0 | 1,059 | py | Python | ppci/arch/target_list.py | rakati/ppci-mirror | 8f5b0282fd1122d7c389b39c86fcf5d9352b7bb2 | [
"BSD-2-Clause"
] | null | null | null | ppci/arch/target_list.py | rakati/ppci-mirror | 8f5b0282fd1122d7c389b39c86fcf5d9352b7bb2 | [
"BSD-2-Clause"
] | null | null | null | ppci/arch/target_list.py | rakati/ppci-mirror | 8f5b0282fd1122d7c389b39c86fcf5d9352b7bb2 | [
"BSD-2-Clause"
] | 1 | 2021-11-23T14:23:04.000Z | 2021-11-23T14:23:04.000Z | """ Contains a list of instantiated targets. """
from functools import lru_cache
from .arm import ArmArch
from .avr import AvrArch
from .example import ExampleArch
from .msp430 import Msp430Arch
from .x86_64 import X86_64Arch
from .m68k import M68kArch
from .mcs6500 import Mcs6500Arch
from .mips import MipsArch
from .... | 22.0625 | 75 | 0.734655 |
b1a623842a392ffea61905da6c2dfa2e9ab44fbb | 7,439 | py | Python | leo/modes/makefile.py | ATikhonov2/leo-editor | 225aac990a9b2804aaa9dea29574d6e072e30474 | [
"MIT"
] | 1,550 | 2015-01-14T16:30:37.000Z | 2022-03-31T08:55:58.000Z | leo/modes/makefile.py | ATikhonov2/leo-editor | 225aac990a9b2804aaa9dea29574d6e072e30474 | [
"MIT"
] | 2,009 | 2015-01-13T16:28:52.000Z | 2022-03-31T18:21:48.000Z | leo/modes/makefile.py | ATikhonov2/leo-editor | 225aac990a9b2804aaa9dea29574d6e072e30474 | [
"MIT"
] | 200 | 2015-01-05T15:07:41.000Z | 2022-03-07T17:05:01.000Z | # Leo colorizer control file for makefile mode.
# This file is in the public domain.
# Properties for makefile mode.
properties = {
"lineComment": "#",
}
# Attributes dict for makefile_main ruleset.
makefile_main_attributes_dict = {
"default": "null",
"digit_re": "",
"escape": "\\",
"... | 33.062222 | 96 | 0.631671 |
3955122092b4512cdfa321095167ee5998bf67a7 | 152 | py | Python | biosiglive/__init__.py | Fiverdug/biosiglive | 72c3c2873fa483aeb4c782cfb1c7e4c339e2ee82 | [
"MIT"
] | null | null | null | biosiglive/__init__.py | Fiverdug/biosiglive | 72c3c2873fa483aeb4c782cfb1c7e4c339e2ee82 | [
"MIT"
] | null | null | null | biosiglive/__init__.py | Fiverdug/biosiglive | 72c3c2873fa483aeb4c782cfb1c7e4c339e2ee82 | [
"MIT"
] | null | null | null | from . import client
from . import data_plot
from . import data_processing
from . import live_data_pytrigno
from . import live_mvc
from . import server
| 21.714286 | 32 | 0.802632 |
4cf43c134cd4576ec677dbe72e9a1597f8853db4 | 25,049 | py | Python | ambari-server/src/test/python/stacks/2.0.6/FLUME/test_flume.py | hmcl/ambari-apache | 87423d64f54d896c62d1a9245eb03a97763e35a4 | [
"Apache-2.0"
] | 3 | 2019-06-20T11:49:36.000Z | 2020-12-11T10:44:29.000Z | ambari-server/src/test/python/stacks/2.0.6/FLUME/test_flume.py | cas-packone/ambari-chs | 68033fbd4b810b6642853f2ad9128cbbd4e0cb7b | [
"Apache-2.0"
] | null | null | null | ambari-server/src/test/python/stacks/2.0.6/FLUME/test_flume.py | cas-packone/ambari-chs | 68033fbd4b810b6642853f2ad9128cbbd4e0cb7b | [
"Apache-2.0"
] | 1 | 2019-03-20T08:36:17.000Z | 2019-03-20T08:36:17.000Z | #!/usr/bin/env python
'''
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License")... | 41.958124 | 414 | 0.590802 |
0d0908f4e9c040ec3221f0a55794e2592868cfb1 | 12,225 | py | Python | tfhub_dev/tools/validator_test.py | tsadr/hub | 5186d911de9bce0adee28993fa396e7392fb1c18 | [
"Apache-2.0"
] | null | null | null | tfhub_dev/tools/validator_test.py | tsadr/hub | 5186d911de9bce0adee28993fa396e7392fb1c18 | [
"Apache-2.0"
] | null | null | null | tfhub_dev/tools/validator_test.py | tsadr/hub | 5186d911de9bce0adee28993fa396e7392fb1c18 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 The TensorFlow Hub Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 36.933535 | 80 | 0.695051 |
1adf83d4ac3d58a455126167c9630c8a1f95e402 | 2,400 | py | Python | models/patchnce.py | bronemos/contrastive-unpaired-translation-focal | 50b9008d08a86439ede081a910d02df5da8e32df | [
"BSD-3-Clause"
] | null | null | null | models/patchnce.py | bronemos/contrastive-unpaired-translation-focal | 50b9008d08a86439ede081a910d02df5da8e32df | [
"BSD-3-Clause"
] | null | null | null | models/patchnce.py | bronemos/contrastive-unpaired-translation-focal | 50b9008d08a86439ede081a910d02df5da8e32df | [
"BSD-3-Clause"
] | null | null | null | from packaging import version
import torch
from torch import nn
from .focal_loss import FocalLoss
class PatchNCELoss(nn.Module):
def __init__(self, opt):
super().__init__()
self.opt = opt
self.cross_entropy_loss = torch.nn.CrossEntropyLoss(reduction="none")
self.focal_loss = Focal... | 36.363636 | 90 | 0.637917 |
c3d53838dee8952fb86cf031499d958cbd07cfb5 | 1,918 | py | Python | chinilla/types/peer_info.py | Chinilla/chinilla-blockchain | 59bebcf94e65b74fbb53ad4929bbd79cb28be619 | [
"Apache-2.0"
] | null | null | null | chinilla/types/peer_info.py | Chinilla/chinilla-blockchain | 59bebcf94e65b74fbb53ad4929bbd79cb28be619 | [
"Apache-2.0"
] | null | null | null | chinilla/types/peer_info.py | Chinilla/chinilla-blockchain | 59bebcf94e65b74fbb53ad4929bbd79cb28be619 | [
"Apache-2.0"
] | null | null | null | import ipaddress
from dataclasses import dataclass
from typing import Optional, Union
from chinilla.util.ints import uint16, uint64
from chinilla.util.streamable import Streamable, streamable
@streamable
@dataclass(frozen=True)
class PeerInfo(Streamable):
host: str
port: uint16
def is_valid(self, allow_... | 28.205882 | 97 | 0.601668 |
c3e005bb70b3a30b736192894faf8abfa0cc1c7f | 3,205 | py | Python | StockAnalysisSystem/interface/interface_rest.py | SleepySoft/StockAnalysisSystem | 75f95738831614f7946f85d09118e447f7ac6dc7 | [
"Apache-2.0"
] | 138 | 2018-01-03T03:32:49.000Z | 2022-03-12T02:57:46.000Z | StockAnalysisSystem/interface/interface_rest.py | SleepySoft/StockAnalysisSystem | 75f95738831614f7946f85d09118e447f7ac6dc7 | [
"Apache-2.0"
] | 9 | 2018-01-01T03:16:24.000Z | 2021-05-27T09:57:24.000Z | StockAnalysisSystem/interface/interface_rest.py | SleepySoft/StockAnalysisSystem | 75f95738831614f7946f85d09118e447f7ac6dc7 | [
"Apache-2.0"
] | 50 | 2019-08-05T01:02:30.000Z | 2022-03-07T00:52:14.000Z | import requests
import datetime
import traceback
import pandas as pd
from functools import partial
from StockAnalysisSystem.core.Utility.JsonSerializer import serialize, deserialize
import StockAnalysisSystem.core.Utility.JsonSerializerImpl
# ----------------------------------------------------------------------------... | 32.373737 | 120 | 0.541966 |
916edc55c2630f6dbc930027460c0392b3c1f30f | 2,219 | py | Python | prettyqt/custom_widgets/elidedlabel.py | phil65/PrettyQt | 26327670c46caa039c9bd15cb17a35ef5ad72e6c | [
"MIT"
] | 7 | 2019-05-01T01:34:36.000Z | 2022-03-08T02:24:14.000Z | prettyqt/custom_widgets/elidedlabel.py | phil65/PrettyQt | 26327670c46caa039c9bd15cb17a35ef5ad72e6c | [
"MIT"
] | 141 | 2019-04-16T11:22:01.000Z | 2021-04-14T15:12:36.000Z | prettyqt/custom_widgets/elidedlabel.py | phil65/PrettyQt | 26327670c46caa039c9bd15cb17a35ef5ad72e6c | [
"MIT"
] | 5 | 2019-04-17T11:48:19.000Z | 2021-11-21T10:30:19.000Z | from __future__ import annotations
from prettyqt import core, gui, widgets
from prettyqt.qt import QtWidgets
class ElidedLabel(widgets.Frame):
elision_changed = core.Signal(bool)
def __init__(
self,
text: str = "",
parent: QtWidgets.QWidget | None = None,
):
super().__ini... | 31.253521 | 87 | 0.560613 |
babef387c83b5edd6d41a2fbc4731b10d41016d5 | 333 | py | Python | src/interface_py/h2o4gpu/solvers/daal_solver/utils/helper_module.py | pnijhara/h2o4gpu | 6257112c134136471420b68241f57190a445b67d | [
"Apache-2.0"
] | 458 | 2017-09-20T08:32:10.000Z | 2022-02-28T18:40:57.000Z | src/interface_py/h2o4gpu/solvers/daal_solver/utils/helper_module.py | Jun-NIBS/h2o4gpu | 9885416deb3285f5d0f33023d6c07373ac4fc0b7 | [
"Apache-2.0"
] | 461 | 2017-09-20T11:39:04.000Z | 2021-11-21T15:51:42.000Z | src/interface_py/h2o4gpu/solvers/daal_solver/utils/helper_module.py | Jun-NIBS/h2o4gpu | 9885416deb3285f5d0f33023d6c07373ac4fc0b7 | [
"Apache-2.0"
] | 114 | 2017-09-20T12:08:07.000Z | 2021-11-29T14:15:40.000Z | # -*- encoding: utf-8 -*-
"""
:copyright: 2017-2018 H2O.ai, Inc.
:license: Apache License Version 2.0 (see LICENSE for details)
"""
from functools import wraps
def print_name(func):
@wraps(func)
def full(*args, **kwargs):
print("**-> {}".format(func.__name__))
return func(*args, **kwargs)
... | 23.785714 | 64 | 0.618619 |
24ce653bbe6a608abfa4cf571516b19725b550ec | 40,747 | py | Python | model/DFSegX11.py | Ethan-ye/Efficient-Segmentation-Networks | 27272e43126a507a6d93b21cd2372f5432f61237 | [
"MIT"
] | null | null | null | model/DFSegX11.py | Ethan-ye/Efficient-Segmentation-Networks | 27272e43126a507a6d93b21cd2372f5432f61237 | [
"MIT"
] | null | null | null | model/DFSegX11.py | Ethan-ye/Efficient-Segmentation-Networks | 27272e43126a507a6d93b21cd2372f5432f61237 | [
"MIT"
] | null | null | null | # *- coding: utf-8 -*
###########################################################################
# Partial order pruning: for best speed/accuracy trade-off in neural architecture search
# https://github.com/lixincn2015/Partial-Order-Pruning
###########################################################################
i... | 56.829847 | 319 | 0.543206 |
6fadf40ca22ddda121c1109e8ec358c31fb3506f | 18,443 | py | Python | lib/blockchain.py | quietnan/electrum-ftc | 5f72cadd777d80a7235e4860589c425287a67fe9 | [
"MIT"
] | null | null | null | lib/blockchain.py | quietnan/electrum-ftc | 5f72cadd777d80a7235e4860589c425287a67fe9 | [
"MIT"
] | null | null | null | lib/blockchain.py | quietnan/electrum-ftc | 5f72cadd777d80a7235e4860589c425287a67fe9 | [
"MIT"
] | null | null | null | # Electrum - lightweight Bitcoin client
# Copyright (C) 2012 thomasv@ecdsa.org
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation files
# (the "Software"), to deal in the Software without restriction,
# including without limitation the rights... | 40.180828 | 140 | 0.626091 |
4cf50e7ee87edb0a771dd0ba8b4947406c912d59 | 54,440 | py | Python | salvia/wallet/wallet_state_manager.py | mikando/salvia-blockchain | 02181d0b5a063374f01eea951570dbc661bddc34 | [
"Apache-2.0"
] | null | null | null | salvia/wallet/wallet_state_manager.py | mikando/salvia-blockchain | 02181d0b5a063374f01eea951570dbc661bddc34 | [
"Apache-2.0"
] | null | null | null | salvia/wallet/wallet_state_manager.py | mikando/salvia-blockchain | 02181d0b5a063374f01eea951570dbc661bddc34 | [
"Apache-2.0"
] | null | null | null | import asyncio
import base64
import json
import logging
import time
from collections import defaultdict
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Set, Tuple
import aiosqlite
from blspy import AugSchemeMPL, G1Element, PrivateKey
from chiabip158 import PyBIP158
from cryptography.fe... | 42.899921 | 119 | 0.636536 |
a493eeac430bf5d7292a96035c3bdc9679c43550 | 36,327 | py | Python | trac/wiki/tests/wikisyntax.py | clubturbo/Trac-1.4.2 | 254ce54a3c2fb86b4f31810ddeabbd4ff8b54a78 | [
"BSD-3-Clause"
] | null | null | null | trac/wiki/tests/wikisyntax.py | clubturbo/Trac-1.4.2 | 254ce54a3c2fb86b4f31810ddeabbd4ff8b54a78 | [
"BSD-3-Clause"
] | null | null | null | trac/wiki/tests/wikisyntax.py | clubturbo/Trac-1.4.2 | 254ce54a3c2fb86b4f31810ddeabbd4ff8b54a78 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2006-2020 Edgewall Software
# All rights reserved.
#
# This software is licensed as described in the file COPYING, which
# you should have received as part of this distribution. The terms
# are also available at https://trac.edgewall.org/wiki/TracLicense.
#
# This soft... | 45.35206 | 347 | 0.633936 |
734529ea0b7a3abd2db8e2192f628ba6a86ecfb1 | 6,858 | py | Python | examples/qaoa/parse_raw_sat.py | sourcery-ai-bot/professional-services | 0dd87e18560894bc68c05b580c6c9f2322eabc47 | [
"Apache-2.0"
] | null | null | null | examples/qaoa/parse_raw_sat.py | sourcery-ai-bot/professional-services | 0dd87e18560894bc68c05b580c6c9f2322eabc47 | [
"Apache-2.0"
] | null | null | null | examples/qaoa/parse_raw_sat.py | sourcery-ai-bot/professional-services | 0dd87e18560894bc68c05b580c6c9f2322eabc47 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | 31.315068 | 79 | 0.595071 |
a688898f4a43b33fd3f07cda12144b84829e451f | 23,545 | py | Python | src/finn/custom_op/fpgadataflow/__init__.py | vision-agh/finn_fork_pp_lidar | a40bd59d3f42a246b0d06329208b84bcc7be8a3e | [
"BSD-3-Clause"
] | 1 | 2021-01-29T14:39:48.000Z | 2021-01-29T14:39:48.000Z | src/finn/custom_op/fpgadataflow/__init__.py | vision-agh/finn_fork_pp_lidar | a40bd59d3f42a246b0d06329208b84bcc7be8a3e | [
"BSD-3-Clause"
] | null | null | null | src/finn/custom_op/fpgadataflow/__init__.py | vision-agh/finn_fork_pp_lidar | a40bd59d3f42a246b0d06329208b84bcc7be8a3e | [
"BSD-3-Clause"
] | 1 | 2022-03-07T02:57:55.000Z | 2022-03-07T02:57:55.000Z | # Copyright (c) 2020, Xilinx
# 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
# list of conditions and the follow... | 40.247863 | 89 | 0.640136 |
5c5cce6d9adaa4bcb55dbe5ec319111ae9b1ef18 | 2,940 | py | Python | pymanopt/tools/autodiff/_tensorflow.py | Nehoroshiy/pymanopt | e0d45b6299c9e5fee21b2780954db6045afb878b | [
"BSD-3-Clause"
] | 1 | 2021-11-08T11:30:49.000Z | 2021-11-08T11:30:49.000Z | pymanopt/tools/autodiff/_tensorflow.py | thatdeep/pymanopt | e0d45b6299c9e5fee21b2780954db6045afb878b | [
"BSD-3-Clause"
] | null | null | null | pymanopt/tools/autodiff/_tensorflow.py | thatdeep/pymanopt | e0d45b6299c9e5fee21b2780954db6045afb878b | [
"BSD-3-Clause"
] | null | null | null | """
Module containing functions to differentiate functions using tensorflow.
"""
try:
import tensorflow as tf
from tensorflow.python.ops.gradients import _hessian_vector_product
except ImportError:
tf = None
from warnings import warn
from ._backend import Backend, assert_backend_available
class Tensorfl... | 30.625 | 78 | 0.584354 |
5581cd3dd132efe9cc3a64ad838cd98d5d601143 | 461 | py | Python | data/scripts/templates/object/weapon/melee/polearm/shared_lance_lightsaber_01.py | obi-two/GameServer | 7d37024e2291a97d49522610cd8f1dbe5666afc2 | [
"MIT"
] | 20 | 2015-02-23T15:11:56.000Z | 2022-03-18T20:56:48.000Z | data/scripts/templates/object/weapon/melee/polearm/shared_lance_lightsaber_01.py | apathyboy/swganh | 665128efe9154611dec4cb5efc61d246dd095984 | [
"MIT"
] | null | null | null | data/scripts/templates/object/weapon/melee/polearm/shared_lance_lightsaber_01.py | apathyboy/swganh | 665128efe9154611dec4cb5efc61d246dd095984 | [
"MIT"
] | 20 | 2015-04-04T16:35:59.000Z | 2022-03-24T14:54:37.000Z | #### NOTICE: THIS FILE IS AUTOGENERATED
#### MODIFICATIONS MAY BE LOST IF DONE IMPROPERLY
#### PLEASE SEE THE ONLINE DOCUMENTATION FOR EXAMPLES
from swgpy.object import *
def create(kernel):
result = Weapon()
result.template = "object/weapon/melee/polearm/shared_lance_lightsaber_01.iff"
result.attribute_template... | 27.117647 | 79 | 0.735358 |
5caaa49ed3c941c1fa8c44b84c358ec2f1b92d4b | 882 | py | Python | BuildSimHubAPI/measures/__init__.py | mostaphaRoudsari/buildsimhub_python_api | 4a562a678fc2f9671f9fc62faae46b79c448a922 | [
"MIT"
] | null | null | null | BuildSimHubAPI/measures/__init__.py | mostaphaRoudsari/buildsimhub_python_api | 4a562a678fc2f9671f9fc62faae46b79c448a922 | [
"MIT"
] | null | null | null | BuildSimHubAPI/measures/__init__.py | mostaphaRoudsari/buildsimhub_python_api | 4a562a678fc2f9671f9fc62faae46b79c448a922 | [
"MIT"
] | null | null | null | # not needed to import this module - hide it from the public
# from BuildSimHubAPI.actions import ModelAction
from .window_uvalue import WindowUValue
from .window_shgc import WindowSHGC
from .window_wall_ratio import WindowWallRatio
from .wall_rvalue import WallRValue
from .roof_rvalue import RoofRValue
from .light_lp... | 42 | 60 | 0.877551 |
c6b4d06d651a50061aae3c78a2f4d1b256b0dbfc | 2,313 | py | Python | utils/data_generator.py | nodamu/Car-Ticketing-Project | a1e38d6d0c844b03b62b6ed07aabc18934cc83f5 | [
"Linux-OpenIB"
] | 29 | 2019-07-22T01:57:42.000Z | 2022-03-31T15:51:42.000Z | utils/data_generator.py | nodamu/Car-Ticketing-Project | a1e38d6d0c844b03b62b6ed07aabc18934cc83f5 | [
"Linux-OpenIB"
] | 6 | 2020-02-13T06:11:55.000Z | 2021-06-17T18:13:08.000Z | utils/data_generator.py | nodamu/Car-Ticketing-Project | a1e38d6d0c844b03b62b6ed07aabc18934cc83f5 | [
"Linux-OpenIB"
] | 17 | 2019-09-19T09:56:16.000Z | 2021-06-12T22:42:30.000Z |
import numpy as np
from threading import Semaphore, Thread
from time import sleep
from random import choice, randint
from pdb import set_trace as pause
class DataGenerator(object):
def __init__( self, data, process_data_item_func, xshape, yshape, \
data_item_selector = choice, \
nthreads = 2, \
... | 22.90099 | 75 | 0.68396 |
744823f4de74587e3be2b669095496c9f29d0169 | 315 | py | Python | tests/test_linear/test_variational_regression.py | ctgk/bayesian_playground | 70c63910472a29e15a4fb98e30a34b9ee155152e | [
"MIT"
] | 1 | 2020-10-17T19:09:32.000Z | 2020-10-17T19:09:32.000Z | tests/test_linear/test_variational_regression.py | ctgk/bayesian | 70c63910472a29e15a4fb98e30a34b9ee155152e | [
"MIT"
] | null | null | null | tests/test_linear/test_variational_regression.py | ctgk/bayesian | 70c63910472a29e15a4fb98e30a34b9ee155152e | [
"MIT"
] | null | null | null | import numpy as np
import pytest
from bayesian.linear import VariationalRegression
def test_fit():
model = VariationalRegression(1, 1, 100)
model.fit([-1, 1], [-1, 1])
assert np.allclose(model.predict([-1, 1])[0], [-1, 1], rtol=0., atol=1e-2)
if __name__ == "__main__":
pytest.main([__file__])
| 21 | 78 | 0.657143 |
5a1802a406647a3627f8e217b02765c64fb0fdd1 | 336 | py | Python | python3.7/app/main.py | brdhunga/uvicorn-gunicorn-fastapi-docker | a7ff8f5fd3e5b9a8a76ce74a7b1c03071a7dc8b1 | [
"MIT"
] | null | null | null | python3.7/app/main.py | brdhunga/uvicorn-gunicorn-fastapi-docker | a7ff8f5fd3e5b9a8a76ce74a7b1c03071a7dc8b1 | [
"MIT"
] | null | null | null | python3.7/app/main.py | brdhunga/uvicorn-gunicorn-fastapi-docker | a7ff8f5fd3e5b9a8a76ce74a7b1c03071a7dc8b1 | [
"MIT"
] | null | null | null | import sys
import asyncio
from fastapi import FastAPI
version = f"{sys.version_info.major}.{sys.version_info.minor}"
app = FastAPI()
@app.get("/")
async def read_root():
await asyncio.sleep(7)
message = f"Hello world! From FastAPI running on Uvicorn with Gunicorn. Using Python {version}"
return {"mes... | 18.666667 | 99 | 0.714286 |
86c0dd855cdc44058c3fbd7d4b0289900fa9f117 | 5,514 | py | Python | ocdskingfisher/store.py | odscjames/rhs-alpha | 3ad01aea09e4768210d16dea5afdec45adb80d89 | [
"BSD-3-Clause"
] | null | null | null | ocdskingfisher/store.py | odscjames/rhs-alpha | 3ad01aea09e4768210d16dea5afdec45adb80d89 | [
"BSD-3-Clause"
] | null | null | null | ocdskingfisher/store.py | odscjames/rhs-alpha | 3ad01aea09e4768210d16dea5afdec45adb80d89 | [
"BSD-3-Clause"
] | null | null | null | import json
from ocdskingfisher.database import DatabaseStore
class Store:
def __init__(self, config, database):
self.config = config
self.collection_id = None
self.database = database
def load_collection(self, collection_source, collection_data_version, collection_sample):
s... | 42.415385 | 133 | 0.566739 |
5c9af6a2a5eca3c4b85b521e56c4bc47addeefae | 3,703 | py | Python | {{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/handlers/auth/recovery.py | thecoderstudio/cookiecutter-pyramid-api | b3122c0d98be7179bcf726c6527096c0327d7bb7 | [
"MIT"
] | null | null | null | {{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/handlers/auth/recovery.py | thecoderstudio/cookiecutter-pyramid-api | b3122c0d98be7179bcf726c6527096c0327d7bb7 | [
"MIT"
] | 1 | 2021-12-17T15:10:21.000Z | 2021-12-17T15:10:21.000Z | {{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/handlers/auth/recovery.py | thecoderstudio/cookiecutter-pyramid-api | b3122c0d98be7179bcf726c6527096c0327d7bb7 | [
"MIT"
] | 1 | 2021-03-01T14:27:10.000Z | 2021-03-01T14:27:10.000Z | import random
import time
from secrets import token_hex
from pyramid.httpexceptions import HTTPCreated
from pyramid.view import view_defaults
from sqlalchemy.orm.exc import NoResultFound
from {{cookiecutter.project_slug}}.handlers import view_config
from {{cookiecutter.project_slug}}.handlers.auth import LoginHandler... | 35.951456 | 92 | 0.719147 |
c4f2528af9c2d70ff5fd86fa2bfab554e730e0d0 | 236 | py | Python | pysrc/__init__.py | uuosio/uuosk | 505d93ebac9e158bf96c2420a7dc7ca84c73eea4 | [
"MIT"
] | 5 | 2021-03-01T10:46:32.000Z | 2022-02-25T05:28:15.000Z | pysrc/__init__.py | uuosio/uuoskit | 505d93ebac9e158bf96c2420a7dc7ca84c73eea4 | [
"MIT"
] | 2 | 2021-06-13T18:12:52.000Z | 2022-02-26T02:59:26.000Z | pysrc/__init__.py | uuosio/uuoskit | 505d93ebac9e158bf96c2420a7dc7ca84c73eea4 | [
"MIT"
] | null | null | null | import os
import sys
from .http_client import HttpClient
from .rpc_interface import RPCInterface, WalletClient
from .chainapi_sync import ChainApi
from uuoskit import _uuoskit
__version__='1.0.4'
_uuoskit.init()
uuosapi = ChainApi()
| 18.153846 | 53 | 0.813559 |
69105b40ac3431c58d9711f315cf55dd4f4b8a35 | 29 | py | Python | moyu_engine/config/__init__.py | MoYuStudio/MoYuEngine | 7d9ab5c9cb268de0071e798a3288f0bbb651795e | [
"Apache-2.0"
] | 2 | 2022-03-22T02:32:34.000Z | 2022-03-22T02:32:43.000Z | moyu_engine/config/__init__.py | MoYuStudio/MoYuEngine | 7d9ab5c9cb268de0071e798a3288f0bbb651795e | [
"Apache-2.0"
] | null | null | null | moyu_engine/config/__init__.py | MoYuStudio/MoYuEngine | 7d9ab5c9cb268de0071e798a3288f0bbb651795e | [
"Apache-2.0"
] | null | null | null |
from .global_config import * | 14.5 | 28 | 0.793103 |
bf906b708f2a907d0ce4a0405ee3587df52b5352 | 2,431 | py | Python | runner/ws_ingest/subscribe.py | abhid/helix | 127d445a7a79ffc0c8a2a882784078bfa2b43e72 | [
"BSD-3-Clause-Clear"
] | null | null | null | runner/ws_ingest/subscribe.py | abhid/helix | 127d445a7a79ffc0c8a2a882784078bfa2b43e72 | [
"BSD-3-Clause-Clear"
] | 13 | 2020-02-29T06:07:34.000Z | 2022-02-26T20:15:48.000Z | runner/ws_ingest/subscribe.py | abhid/helix | 127d445a7a79ffc0c8a2a882784078bfa2b43e72 | [
"BSD-3-Clause-Clear"
] | null | null | null | import asyncio
from asyncio.tasks import FIRST_COMPLETED
import ssl
import json
import sys
import time
from websockets import ConnectionClosed
from ws_stomp import WebSocketStomp
import redis
import argparse
def key_enter_callback(event):
sys.stdin.readline()
event.set()
async def future_read_message(ws, futu... | 41.20339 | 224 | 0.69313 |
0f5c21d2ac525e624337db26a330bed69c73e03b | 1,279 | py | Python | makelink.py | murattatar/Steemit-Manuel-Search-Tool | 13d856fa175f4388d6a06d4666ebcb715d7745ff | [
"MIT"
] | null | null | null | makelink.py | murattatar/Steemit-Manuel-Search-Tool | 13d856fa175f4388d6a06d4666ebcb715d7745ff | [
"MIT"
] | null | null | null | makelink.py | murattatar/Steemit-Manuel-Search-Tool | 13d856fa175f4388d6a06d4666ebcb715d7745ff | [
"MIT"
] | null | null | null | ########################################
## Month names, November 2017 by Murat Tatar
## Baglanti fonksiyonu: https://forum.ubuntu-tr.net/index.php?topic=37782.msg453829#msg453829
########################################
def MakeLink(word):
list = {"ı": "i",
"I": "i",
"Ç": ... | 26.102041 | 94 | 0.436278 |
0c51dcf3fdb890eda3cc107a0acbbbc652b1ebc0 | 6,051 | py | Python | gluoncv/model_zoo/faster_rcnn/resnet50_v2a.py | leezu/gluon-cv | 03ec37c7813da1845f7f287bba0452a7b95a3fa4 | [
"Apache-2.0"
] | 1 | 2019-01-26T23:55:59.000Z | 2019-01-26T23:55:59.000Z | gluoncv/model_zoo/faster_rcnn/resnet50_v2a.py | leezu/gluon-cv | 03ec37c7813da1845f7f287bba0452a7b95a3fa4 | [
"Apache-2.0"
] | null | null | null | gluoncv/model_zoo/faster_rcnn/resnet50_v2a.py | leezu/gluon-cv | 03ec37c7813da1845f7f287bba0452a7b95a3fa4 | [
"Apache-2.0"
] | null | null | null | # pylint: disable=arguments-differ
"""Resnet50 v2a model which take original image with zero mean and uniform std."""
import mxnet as mx
from mxnet.gluon import nn, HybridBlock
__all__ = ['resnet50_v2a']
def _conv3x3(channels, stride, in_channels):
"""add conv 3x3 block."""
return nn.Conv2D(channels, kernel_s... | 42.020833 | 97 | 0.603867 |
0a58f62a5b300a4a0785b7579f3dade4c6724d5f | 14,144 | py | Python | delta_cli.py | Yashwanthdantanoor1/SER516_Project-1 | ca6213c20d5eb219b745eded4fa6e5ac54412826 | [
"MIT"
] | 1 | 2021-02-24T14:14:28.000Z | 2021-02-24T14:14:28.000Z | delta_cli.py | Yashwanthdantanoor1/SER516_Project-1 | ca6213c20d5eb219b745eded4fa6e5ac54412826 | [
"MIT"
] | 3 | 2022-02-25T05:02:59.000Z | 2022-03-06T06:02:40.000Z | delta_cli.py | Yashwanthdantanoor1/SER516_Project-1 | ca6213c20d5eb219b745eded4fa6e5ac54412826 | [
"MIT"
] | 2 | 2021-03-04T10:29:58.000Z | 2022-01-31T06:33:19.000Z | import argparse
import json
import requests
import time
from cmd import Cmd
from fastapi import status
from pathlib import Path
class MyPrompt(Cmd):
prompt = 'planning_poker> '
intro = "Welcome to a nice game of Planning Poker!\nType ? to list commands"
default_config_params = {"max_retries": 5,
... | 36.737662 | 80 | 0.548713 |
af2e9b756a7ec250aefdf90c42c7fddcfa3ad298 | 4,666 | py | Python | tests/layers/test_merge_layers.py | vishalbelsare/neupy | 684313cdaddcad326f2169384fb15ec3aa29d991 | [
"MIT"
] | null | null | null | tests/layers/test_merge_layers.py | vishalbelsare/neupy | 684313cdaddcad326f2169384fb15ec3aa29d991 | [
"MIT"
] | null | null | null | tests/layers/test_merge_layers.py | vishalbelsare/neupy | 684313cdaddcad326f2169384fb15ec3aa29d991 | [
"MIT"
] | null | null | null | import theano
import theano.tensor as T
import numpy as np
from neupy import layers, init
from neupy.utils import asfloat
from neupy.exceptions import LayerConnectionError
from base import BaseTestCase
class ElementwiseTestCase(BaseTestCase):
def test_elementwise_basic(self):
elem_layer = layers.Element... | 34.562963 | 76 | 0.644664 |
08881f915ef2d23f3256e3e3ce81006be77c4780 | 14,126 | py | Python | pandas/core/indexes/numeric.py | zeitlinv/pandas | 08d296f1278e08b407448c95086589e1d10285f9 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 2 | 2021-08-18T11:17:41.000Z | 2021-08-18T11:17:53.000Z | pandas/core/indexes/numeric.py | zeitlinv/pandas | 08d296f1278e08b407448c95086589e1d10285f9 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2021-08-30T15:10:57.000Z | 2021-08-30T15:10:57.000Z | pandas/core/indexes/numeric.py | zeitlinv/pandas | 08d296f1278e08b407448c95086589e1d10285f9 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2021-08-30T14:37:26.000Z | 2021-08-30T14:37:26.000Z | from __future__ import annotations
from typing import (
Callable,
Hashable,
)
import warnings
import numpy as np
from pandas._libs import (
index as libindex,
lib,
)
from pandas._typing import (
Dtype,
DtypeObj,
)
from pandas.util._decorators import (
cache_readonly,
doc,
)
from pand... | 32.473563 | 87 | 0.609514 |
fecb699e11482b5370595411b7fe70f921e358b4 | 339 | py | Python | packages/PIPS/validation/Terapix/alphablending.py | DVSR1966/par4all | 86b33ca9da736e832b568c5637a2381f360f1996 | [
"MIT"
] | 51 | 2015-01-31T01:51:39.000Z | 2022-02-18T02:01:50.000Z | packages/PIPS/validation/Terapix/alphablending.py | DVSR1966/par4all | 86b33ca9da736e832b568c5637a2381f360f1996 | [
"MIT"
] | 7 | 2017-05-29T09:29:00.000Z | 2019-03-11T16:01:39.000Z | packages/PIPS/validation/Terapix/alphablending.py | DVSR1966/par4all | 86b33ca9da736e832b568c5637a2381f360f1996 | [
"MIT"
] | 12 | 2015-03-26T08:05:38.000Z | 2022-02-18T02:01:51.000Z | from __future__ import with_statement # this is to work with python2.5
import terapyps
from pyps import workspace
workspace.delete("alphablending")
with terapyps.workspace("alphablending.c", name="alphablending", deleteOnClose=False) as w:
for f in w.fun:
f.terapix_code_generation(debug=True)
# w.compile... | 37.666667 | 91 | 0.766962 |
dd2cf44203c6b4a0c3d6a9e9e5ac39716d3a1aaf | 4,258 | py | Python | djstripe/management/commands/djstripe_process_events.py | omidraha/dj-stripe | 5785513e88de7e4648e52723d219ed82ce82cfe2 | [
"MIT"
] | null | null | null | djstripe/management/commands/djstripe_process_events.py | omidraha/dj-stripe | 5785513e88de7e4648e52723d219ed82ce82cfe2 | [
"MIT"
] | null | null | null | djstripe/management/commands/djstripe_process_events.py | omidraha/dj-stripe | 5785513e88de7e4648e52723d219ed82ce82cfe2 | [
"MIT"
] | null | null | null | from django.core.management.base import BaseCommand
from ... import models
from ...mixins import VerbosityAwareOutputMixin
from ...settings import djstripe_settings
class Command(VerbosityAwareOutputMixin, BaseCommand):
"""Command to process all Events.
Optional arguments are provided to limit the number of... | 36.393162 | 87 | 0.581259 |
995d2e612ca2ece917f6f767aab82e839eaf62a0 | 24,448 | py | Python | research/object_detection/protos/faster_rcnn_pb2.py | janzkyle23/models | a8ae09e23d309f8893619387a7133bcc4db3d8a9 | [
"Apache-2.0"
] | 5 | 2020-01-22T15:53:06.000Z | 2021-10-05T02:45:26.000Z | research/object_detection/protos/faster_rcnn_pb2.py | janzkyle23/models | a8ae09e23d309f8893619387a7133bcc4db3d8a9 | [
"Apache-2.0"
] | 6 | 2020-06-08T14:35:41.000Z | 2022-02-10T01:52:40.000Z | research/object_detection/protos/faster_rcnn_pb2.py | janzkyle23/models | a8ae09e23d309f8893619387a7133bcc4db3d8a9 | [
"Apache-2.0"
] | 7 | 2020-03-30T12:22:11.000Z | 2021-09-18T14:06:22.000Z | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/faster_rcnn.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf... | 60.514851 | 3,525 | 0.780023 |
ab33c48fcc05959299f6199a080330f336eb5098 | 917 | py | Python | lec5.py | A-Glavin/ia241-github | c8371d2cdcceac0fa146b798caafc4d2db9c7e74 | [
"MIT"
] | null | null | null | lec5.py | A-Glavin/ia241-github | c8371d2cdcceac0fa146b798caafc4d2db9c7e74 | [
"MIT"
] | null | null | null | lec5.py | A-Glavin/ia241-github | c8371d2cdcceac0fa146b798caafc4d2db9c7e74 | [
"MIT"
] | null | null | null | '''
lec5 if statement
'''
import this
print( 2+
1)
print([1,2,3,
4,5,6])
m = 1+\
2
print(m)
a= [1,2,3]
b= [1,2,3,]
print(id([1, 2, 3]))
print(id(a))
print(id(b))
print(a is b)
print(a==b)
x = None
print(id(x))
print(id(None))
print(x is None)
print(x == None)
y = []
pri... | 10.54023 | 28 | 0.522356 |
68946bc037eb655c8a3a25dd801402047731c7cb | 2,932 | py | Python | ivy/functional/backends/numpy/__init__.py | RitujaPawas/ivy | 595788507aca609e868cb3d17edd815463af28e4 | [
"Apache-2.0"
] | null | null | null | ivy/functional/backends/numpy/__init__.py | RitujaPawas/ivy | 595788507aca609e868cb3d17edd815463af28e4 | [
"Apache-2.0"
] | null | null | null | ivy/functional/backends/numpy/__init__.py | RitujaPawas/ivy | 595788507aca609e868cb3d17edd815463af28e4 | [
"Apache-2.0"
] | null | null | null | # global
import sys
import numpy as np
# local
import ivy
# noinspection PyUnresolvedReferences
use = ivy.backend_handler.ContextManager(sys.modules[__name__])
NativeArray = np.ndarray
NativeVariable = np.ndarray
NativeDevice = str
NativeDtype = np.dtype
# data types
int8 = ivy.IntDtype("int8")
int16 = ivy.IntDtype... | 21.718519 | 77 | 0.723738 |
d4dc12b31063b67d34473c2f2db4240f9785ddf0 | 8,198 | py | Python | QCA4020_SDK/target/sectools/qdn/sectools.py | r8d8/lastlock | 78c02e5fbb129b1bc4147bd55eec2882267d7e87 | [
"Apache-2.0"
] | null | null | null | QCA4020_SDK/target/sectools/qdn/sectools.py | r8d8/lastlock | 78c02e5fbb129b1bc4147bd55eec2882267d7e87 | [
"Apache-2.0"
] | null | null | null | QCA4020_SDK/target/sectools/qdn/sectools.py | r8d8/lastlock | 78c02e5fbb129b1bc4147bd55eec2882267d7e87 | [
"Apache-2.0"
] | null | null | null | # ===============================================================================
#
# Copyright (c) 2013-2018 Qualcomm Technologies, Inc.
# All Rights Reserved.
# Copyright (c) 2018 Qualcomm Technologies, Inc.
# All rights reserved.
# Redistribution and use in source and binary forms, with or without modification, are ... | 38.130233 | 149 | 0.664064 |
a4e74801f0e174743bf232e97dbdd268a0b10de0 | 6,422 | py | Python | spec_pythonizer/minimal_ssz.py | hwwhww/research | 4bde287aae017cd93fa936f587f21cddcc7c4129 | [
"MIT"
] | 1 | 2020-07-22T14:50:53.000Z | 2020-07-22T14:50:53.000Z | spec_pythonizer/minimal_ssz.py | hwwhww/research | 4bde287aae017cd93fa936f587f21cddcc7c4129 | [
"MIT"
] | null | null | null | spec_pythonizer/minimal_ssz.py | hwwhww/research | 4bde287aae017cd93fa936f587f21cddcc7c4129 | [
"MIT"
] | null | null | null | from hashlib import sha256
def hash(x): return sha256(x).digest()
BYTES_PER_CHUNK = 32
BYTES_PER_LENGTH_PREFIX = 4
ZERO_CHUNK = b'\x00' * BYTES_PER_CHUNK
def SSZType(fields):
class SSZObject():
def __init__(self, **kwargs):
for f in fields:
if f not in kwargs:
... | 36.908046 | 132 | 0.625195 |
53299ea2815ea7f31b7a726384972e5c0bd0017a | 1,376 | py | Python | neutron/plugins/vmware/extensions/nvp_networkgw.py | yagosys/neutron | 005fec677c3bf8b2aa0df68c4aedc2b708ec7caf | [
"Apache-2.0"
] | 1 | 2016-01-13T14:29:07.000Z | 2016-01-13T14:29:07.000Z | neutron/plugins/vmware/extensions/nvp_networkgw.py | yagosys/neutron | 005fec677c3bf8b2aa0df68c4aedc2b708ec7caf | [
"Apache-2.0"
] | null | null | null | neutron/plugins/vmware/extensions/nvp_networkgw.py | yagosys/neutron | 005fec677c3bf8b2aa0df68c4aedc2b708ec7caf | [
"Apache-2.0"
] | 3 | 2015-04-03T08:47:02.000Z | 2020-02-05T10:40:45.000Z | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2013 VMware, Inc.
# All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/lic... | 32 | 79 | 0.706395 |
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