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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
348ae8500ee7375f75094f116b858b02b074ef02 | 1,767 | py | Python | examples/cluster_demo.py | RussellM2020/maml_gps | 631560dfd4e23dc2da9bfbbd2e3c5252aa9775c5 | [
"MIT"
] | null | null | null | examples/cluster_demo.py | RussellM2020/maml_gps | 631560dfd4e23dc2da9bfbbd2e3c5252aa9775c5 | [
"MIT"
] | null | null | null | examples/cluster_demo.py | RussellM2020/maml_gps | 631560dfd4e23dc2da9bfbbd2e3c5252aa9775c5 | [
"MIT"
] | null | null | null | from rllab.algos.trpo import TRPO
from rllab.baselines.linear_feature_baseline import LinearFeatureBaseline
from rllab.envs.box2d.cartpole_env import CartpoleEnv
from rllab.envs.normalized_env import normalize
from rllab.misc.instrument import stub, run_experiment_lite
from rllab.policies.gaussian_mlp_policy import Gau... | 26.772727 | 93 | 0.65365 |
c421f0d3364a51ad0f1f0372e00a255a31987691 | 5,239 | py | Python | nighres/registration/generate_coordinate_mapping.py | marcobarilari/nighres | e503bb96a6a73f73020c5d9d7b540bc5f17699a8 | [
"Apache-2.0"
] | 41 | 2017-08-15T12:23:31.000Z | 2022-02-28T15:12:22.000Z | nighres/registration/generate_coordinate_mapping.py | marcobarilari/nighres | e503bb96a6a73f73020c5d9d7b540bc5f17699a8 | [
"Apache-2.0"
] | 130 | 2017-07-27T11:09:09.000Z | 2022-03-31T10:05:07.000Z | nighres/registration/generate_coordinate_mapping.py | marcobarilari/nighres | e503bb96a6a73f73020c5d9d7b540bc5f17699a8 | [
"Apache-2.0"
] | 35 | 2017-08-17T17:05:41.000Z | 2022-03-28T12:22:14.000Z | # basic dependencies
import os
import sys
# main dependencies: numpy, nibabel
import numpy
import nibabel
# nighresjava and nighres functions
import nighresjava
from ..io import load_volume, save_volume
from ..utils import _output_dir_4saving, _fname_4saving, \
_check_topology_lut_dir
# convenien... | 35.161074 | 96 | 0.595533 |
57ddcdf1e2a07777e702ea00936d878df9e3d9c1 | 1,892 | py | Python | Flinders/score_independently.py | johned0/EdwardsLab | ae0d8b51a579cd009b414d11224b4110ba13af66 | [
"MIT"
] | 30 | 2015-01-25T16:22:51.000Z | 2022-01-20T15:56:47.000Z | Flinders/score_independently.py | johned0/EdwardsLab | ae0d8b51a579cd009b414d11224b4110ba13af66 | [
"MIT"
] | 2 | 2020-04-13T15:00:37.000Z | 2020-09-23T12:35:59.000Z | Flinders/score_independently.py | johned0/EdwardsLab | ae0d8b51a579cd009b414d11224b4110ba13af66 | [
"MIT"
] | 24 | 2015-04-17T00:52:05.000Z | 2021-11-26T17:50:01.000Z | """
We're scoring the alignments by looking at one change, pairs of changes, triples of changes, etc.
"""
import os
import sys
import argparse
from roblib import read_fasta
__author__ = 'Rob Edwards'
if __name__ == "__main__":
parser = argparse.ArgumentParser(description=' ')
parser.add_argument('-f', help... | 32.62069 | 108 | 0.513214 |
7a0d1d8e5843e12369353b767b37a28c185e4ee8 | 78 | py | Python | yikit/feature_selection/__init__.py | yu9824/yikit | d2a0732f543e70b8be985b22847504a06c9837fc | [
"Apache-2.0"
] | null | null | null | yikit/feature_selection/__init__.py | yu9824/yikit | d2a0732f543e70b8be985b22847504a06c9837fc | [
"Apache-2.0"
] | null | null | null | yikit/feature_selection/__init__.py | yu9824/yikit | d2a0732f543e70b8be985b22847504a06c9837fc | [
"Apache-2.0"
] | null | null | null | from .filter_method import FilterSelector
from .wrapper_method import BorutaPy | 39 | 41 | 0.884615 |
1d823f4f8c5a6939effe925ec0371f54ec7ab57a | 9,872 | py | Python | IPC/Servers/Sync/app.py | Seniatical/IPC | 145461a932974cb1e2125a134bcda0d12a54dae3 | [
"MIT"
] | null | null | null | IPC/Servers/Sync/app.py | Seniatical/IPC | 145461a932974cb1e2125a134bcda0d12a54dae3 | [
"MIT"
] | null | null | null | IPC/Servers/Sync/app.py | Seniatical/IPC | 145461a932974cb1e2125a134bcda0d12a54dae3 | [
"MIT"
] | null | null | null | """
MIT License
Copyright (c) 2021 Seniatical
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, pub... | 39.019763 | 120 | 0.570097 |
eadda5ba06a79f061bcf87f9b0bf2c0770c763f5 | 5,516 | py | Python | python/paddle/fluid/tests/unittests/ir/inference/test_seqconv_eltadd_relu_fuse_pass.py | 2742195759/Paddle | ce034db1834af85539b22ab68492df9972ff3e69 | [
"Apache-2.0"
] | 17,085 | 2016-11-18T06:40:52.000Z | 2022-03-31T22:52:32.000Z | python/paddle/fluid/tests/unittests/ir/inference/test_seqconv_eltadd_relu_fuse_pass.py | AFLee/Paddle | 311b3b44fc7d51d4d66d90ab8a3fc0d42231afda | [
"Apache-2.0"
] | 29,769 | 2016-11-18T06:35:22.000Z | 2022-03-31T16:46:15.000Z | python/paddle/fluid/tests/unittests/ir/inference/test_seqconv_eltadd_relu_fuse_pass.py | AFLee/Paddle | 311b3b44fc7d51d4d66d90ab8a3fc0d42231afda | [
"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 appli... | 39.120567 | 77 | 0.605149 |
1a1c8d420f95a922bf429e81fe6f77163f719a45 | 6,045 | py | Python | google/ads/googleads/v8/googleads-py/google/ads/googleads/v8/services/types/keyword_plan_ad_group_keyword_service.py | googleapis/googleapis-gen | d84824c78563d59b0e58d5664bfaa430e9ad7e7a | [
"Apache-2.0"
] | 7 | 2021-02-21T10:39:41.000Z | 2021-12-07T07:31:28.000Z | google/ads/googleads/v8/googleads-py/google/ads/googleads/v8/services/types/keyword_plan_ad_group_keyword_service.py | googleapis/googleapis-gen | d84824c78563d59b0e58d5664bfaa430e9ad7e7a | [
"Apache-2.0"
] | 6 | 2021-02-02T23:46:11.000Z | 2021-11-15T01:46:02.000Z | google/ads/googleads/v8/googleads-py/google/ads/googleads/v8/services/types/keyword_plan_ad_group_keyword_service.py | googleapis/googleapis-gen | d84824c78563d59b0e58d5664bfaa430e9ad7e7a | [
"Apache-2.0"
] | 4 | 2021-01-28T23:25:45.000Z | 2021-08-30T01:55:16.000Z | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 33.214286 | 172 | 0.678743 |
9382b2642336af153934b7dc8ed04664bf7587ba | 8,481 | py | Python | dev/midi.1.py | mdoege/MIDI | 90499c0739177bf23efa8eb88deff88e492bd518 | [
"AAL"
] | 1 | 2020-06-19T18:24:05.000Z | 2020-06-19T18:24:05.000Z | dev/midi.1.py | mdoege/MIDI | 90499c0739177bf23efa8eb88deff88e492bd518 | [
"AAL"
] | null | null | null | dev/midi.1.py | mdoege/MIDI | 90499c0739177bf23efa8eb88deff88e492bd518 | [
"AAL"
] | null | null | null | #!/usr/bin/env python
# Read MIDI file track and synthesize with PySynth A
# Usage:
# python readmidi.py file.mid [tracknum] [file.wav] [--syn_b/--syn_c/--syn_d/--syn_e/--syn_p/--syn_s/--syn_samp]
# Based on code from https://github.com/osakared/midifile.py
# which appears to be based on
# https://github.com/gasma... | 37.197368 | 113 | 0.510081 |
cc90a92dfd235de8bcc9b64387cff579edd174a7 | 12,918 | py | Python | contrib/linearize/linearize-data.py | wizadr/ocvcoin | 449d29249a7469c523ce620d67f880d31a4d4486 | [
"MIT"
] | 2 | 2021-10-30T04:29:45.000Z | 2021-12-11T16:49:57.000Z | contrib/linearize/linearize-data.py | wizadr/ocvcoin | 449d29249a7469c523ce620d67f880d31a4d4486 | [
"MIT"
] | 2 | 2021-09-13T22:46:42.000Z | 2021-09-14T08:47:00.000Z | contrib/linearize/linearize-data.py | wizadr/ocvcoin | 449d29249a7469c523ce620d67f880d31a4d4486 | [
"MIT"
] | 2 | 2021-11-18T09:48:59.000Z | 2021-12-23T04:33:02.000Z | #!/usr/bin/env python3
#
# linearize-data.py: Construct a linear, no-fork version of the chain.
#
# Copyright (c) 2013-2020 The Ocvcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
#
import struct
import re
impo... | 36.803419 | 123 | 0.599706 |
028ebc5eb3d202fa6cbee2c6d499d9b756c91c3b | 4,245 | py | Python | accounts/models.py | thiagoferreiraw/GetTogether | 0cfa2bcf0915dd03ed5e5b9fab641b058eee1ca3 | [
"BSD-2-Clause"
] | 13 | 2017-12-26T17:05:06.000Z | 2018-01-02T15:09:31.000Z | accounts/models.py | thiagoferreiraw/GetTogether | 0cfa2bcf0915dd03ed5e5b9fab641b058eee1ca3 | [
"BSD-2-Clause"
] | 9 | 2017-12-27T15:51:37.000Z | 2018-01-02T14:49:32.000Z | accounts/models.py | thiagoferreiraw/GetTogether | 0cfa2bcf0915dd03ed5e5b9fab641b058eee1ca3 | [
"BSD-2-Clause"
] | 3 | 2017-12-26T21:27:38.000Z | 2018-01-03T15:01:49.000Z | from django.db import models
from django.contrib.sites.models import Site
from django.contrib.auth.models import User, Group, AnonymousUser
from django.utils.translation import ugettext_lazy as _
from django.utils.crypto import get_random_string
from django.conf import settings
import pytz
import datetime
import hashl... | 32.40458 | 162 | 0.678445 |
5b79e2490dcc53565c26404385c6ff1759a883d1 | 9,750 | py | Python | Scripts/GeMS_SetSymbols_Arc10.py | mahunterUSGS/GeMS_Tools | c8cd2d5f1767f5a275487fb81f6f2529d1fa58f4 | [
"CC0-1.0"
] | null | null | null | Scripts/GeMS_SetSymbols_Arc10.py | mahunterUSGS/GeMS_Tools | c8cd2d5f1767f5a275487fb81f6f2529d1fa58f4 | [
"CC0-1.0"
] | null | null | null | Scripts/GeMS_SetSymbols_Arc10.py | mahunterUSGS/GeMS_Tools | c8cd2d5f1767f5a275487fb81f6f2529d1fa58f4 | [
"CC0-1.0"
] | null | null | null | import arcpy, os.path, sys, math, shutil
from GeMS_utilityFunctions import *
# September 2017: now invokes arcpy.da.Editor in line 183
# 5 October 2017: fixed crash when symbolizing CMU feature dataset
versionString = 'GeMS_SetSymbols_Arc10.py, version of 5 October 2017'
EightfoldLineDict = {}
TwofoldOrientPointDic... | 36.654135 | 121 | 0.564 |
73cf25b40f8cbe762d5a1e639b2f3df67a95a1a4 | 1,107 | py | Python | test.py | IT-Step-Team/IEP | d5cbbb58aef6788b4476c647704689dc48af5208 | [
"MIT"
] | 1 | 2021-05-06T19:51:02.000Z | 2021-05-06T19:51:02.000Z | test.py | Maksim15103/IEP | 64fe5a7df48e21cb2fcb852c20a1c01ff9b01212 | [
"MIT"
] | 1 | 2021-03-16T16:13:12.000Z | 2021-03-16T18:59:26.000Z | test.py | Maksim15103/IEP | 64fe5a7df48e21cb2fcb852c20a1c01ff9b01212 | [
"MIT"
] | 1 | 2021-04-17T07:50:20.000Z | 2021-04-17T07:50:20.000Z | from Crypto.PublicKey import RSA
from Crypto.Cipher import PKCS1_OAEP, AES
from base64 import b64encode, b64decode
key = RSA.generate(2048)
print(b64encode(key.export_key('DER')).decode('utf-8'))
print()
print(b64encode(key.publickey().export_key('DER')).decode('utf-8'))
cipher = PKCS1_OAEP.new(key)
print()
data ... | 20.5 | 83 | 0.71364 |
52239a2f326ae324ad8c011f69b498b8194b5506 | 487 | py | Python | Letter_Grade_Of_Any_Subject.py | Taizul1579/Pythonbasic | a197e1d8fa7f74bc9bff5ae2d5cf6bf7010e884c | [
"Apache-2.0"
] | null | null | null | Letter_Grade_Of_Any_Subject.py | Taizul1579/Pythonbasic | a197e1d8fa7f74bc9bff5ae2d5cf6bf7010e884c | [
"Apache-2.0"
] | null | null | null | Letter_Grade_Of_Any_Subject.py | Taizul1579/Pythonbasic | a197e1d8fa7f74bc9bff5ae2d5cf6bf7010e884c | [
"Apache-2.0"
] | null | null | null | mark = int(input("Enter Your Mark : "))
if mark >= 80:
print("Congratulation!! Your Result Is :A+")
elif mark >= 70:
print("Congratulation!! Your Result Is :A")
elif mark >= 60:
print("Congratulation!! Your Result Is :A-")
elif mark >= 50:
print("Congratulation!! Your Result Is :B")
elif mark >... | 30.4375 | 49 | 0.616016 |
8fec1c7399b53198f9de68b4120e7b27ccc59e6a | 976 | py | Python | hashtable/separate_chaining.py | CheezItMan/hash-table-exercise | 57e376e54eb33ce1e921145a28efc93dd44f52eb | [
"Unlicense"
] | null | null | null | hashtable/separate_chaining.py | CheezItMan/hash-table-exercise | 57e376e54eb33ce1e921145a28efc93dd44f52eb | [
"Unlicense"
] | null | null | null | hashtable/separate_chaining.py | CheezItMan/hash-table-exercise | 57e376e54eb33ce1e921145a28efc93dd44f52eb | [
"Unlicense"
] | null | null | null | class SeparateChainingTable:
def __init__(self, table_size=4):
self.size = 0
self.table = []
for i in range(table_size):
self.table.append([])
def insert(self, key, value):
"""
Insert `(key, value)` based on the hashed value of `key`.
"""
ind... | 27.885714 | 75 | 0.530738 |
ea2d613e6228e8f0bbbea8b141b47ae5280fee14 | 98 | py | Python | src/libi_sharing/apps.py | Angelhack-LIBI/team-libi-backend | fd00c4f2880f00819174e0ca10c0161e4e697379 | [
"MIT"
] | 11 | 2020-07-21T05:53:16.000Z | 2020-08-18T06:15:31.000Z | src/libi_sharing/apps.py | Angelhack-LIBI/team-libi-backend | fd00c4f2880f00819174e0ca10c0161e4e697379 | [
"MIT"
] | 3 | 2020-07-17T21:34:25.000Z | 2020-07-19T04:10:58.000Z | src/libi_sharing/apps.py | Angelhack-LIBI/team-libi-backend | fd00c4f2880f00819174e0ca10c0161e4e697379 | [
"MIT"
] | 2 | 2020-07-23T10:52:48.000Z | 2021-08-30T08:11:50.000Z | from django.apps import AppConfig
class LibiSharingConfig(AppConfig):
name = 'libi_sharing'
| 16.333333 | 35 | 0.77551 |
f66d5661bef7ee446c2a34565db776084df8ada4 | 1,709 | py | Python | openstack/metric/v1/resource.py | teresa-ho/stx-openstacksdk | 7d723da3ffe9861e6e9abcaeadc1991689f782c5 | [
"Apache-2.0"
] | null | null | null | openstack/metric/v1/resource.py | teresa-ho/stx-openstacksdk | 7d723da3ffe9861e6e9abcaeadc1991689f782c5 | [
"Apache-2.0"
] | null | null | null | openstack/metric/v1/resource.py | teresa-ho/stx-openstacksdk | 7d723da3ffe9861e6e9abcaeadc1991689f782c5 | [
"Apache-2.0"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | 36.361702 | 75 | 0.724985 |
cde69bfe542443645ff3788113daf4b7b6254e01 | 5,062 | py | Python | lib/sampler.py | skratchdot/media-tools | bca0c683fb637aeefda1c49454a118f809047d97 | [
"MIT"
] | 13 | 2019-12-09T07:56:13.000Z | 2021-08-03T01:45:53.000Z | lib/sampler.py | skratchdot/media-tools | bca0c683fb637aeefda1c49454a118f809047d97 | [
"MIT"
] | 1 | 2020-04-29T00:00:14.000Z | 2021-07-09T14:24:19.000Z | lib/sampler.py | skratchdot/media-tools | bca0c683fb637aeefda1c49454a118f809047d97 | [
"MIT"
] | 3 | 2020-04-27T15:36:36.000Z | 2021-03-29T17:52:35.000Z | from lib.clip import *
from lib.collection_utils import *
from lib.math_utils import *
from lib.io_utils import *
class Sampler:
availableSamples = [
# hip hop kick
{"name": "kick", "style": "hiphop1", "files": ["jay_z_all_i_need_kick_01.wav", "jay_z_all_i_need_kick_02.wav"]},
{"name": "ki... | 44.79646 | 198 | 0.586527 |
c64af18b376cb921949dc59dc977b83500772050 | 796 | py | Python | setup.py | hpema/crypto | 32e309d17ab72ac52a7c057e6280ea21e9864c2c | [
"MIT"
] | null | null | null | setup.py | hpema/crypto | 32e309d17ab72ac52a7c057e6280ea21e9864c2c | [
"MIT"
] | null | null | null | setup.py | hpema/crypto | 32e309d17ab72ac52a7c057e6280ea21e9864c2c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from setuptools import setup, find_packages
from pip.req import parse_requirements
import re, ast
# get version from __version__ variable in crypto/__init__.py
_version_re = re.compile(r'__version__\s+=\s+(.*)')
with open('crypto/__init__.py', 'rb') as f:
version = str(ast.literal_eval(_ve... | 29.481481 | 68 | 0.736181 |
a062bf9c2baf2c9badb7545e84412ac13ec8c0e5 | 12,807 | py | Python | modules/util.py | Visorask/qbit_manage | 19c4e62bedb2d581d57be040c07196e888b9ac4b | [
"MIT"
] | 4 | 2021-02-24T17:31:55.000Z | 2021-02-26T03:39:19.000Z | modules/util.py | Visorask/qbit_manage | 19c4e62bedb2d581d57be040c07196e888b9ac4b | [
"MIT"
] | null | null | null | modules/util.py | Visorask/qbit_manage | 19c4e62bedb2d581d57be040c07196e888b9ac4b | [
"MIT"
] | 1 | 2021-02-27T00:38:25.000Z | 2021-02-27T00:38:25.000Z | import logging, os, shutil, traceback, time, signal
from logging.handlers import RotatingFileHandler
from ruamel import yaml
from pathlib import Path
logger = logging.getLogger('qBit Manage')
def get_list(data, lower=False, split=True, int_list=False):
if data is None: return None
elif isinsta... | 36.696275 | 125 | 0.565004 |
7edb18ef128cc781bb888b363ef7e679426240b4 | 4,241 | py | Python | edx_rest_framework_extensions/paginators.py | openedx/edx-drf-extensions | f923f48da8a639f8037d917264057e456785a0e7 | [
"Apache-2.0"
] | null | null | null | edx_rest_framework_extensions/paginators.py | openedx/edx-drf-extensions | f923f48da8a639f8037d917264057e456785a0e7 | [
"Apache-2.0"
] | 1 | 2022-02-11T14:47:15.000Z | 2022-02-11T14:47:15.000Z | edx_rest_framework_extensions/paginators.py | openedx/edx-drf-extensions | f923f48da8a639f8037d917264057e456785a0e7 | [
"Apache-2.0"
] | null | null | null | """ Paginatator methods for edX API implementations."""
from django.core.paginator import InvalidPage, Paginator
from django.http import Http404
from rest_framework import pagination
from rest_framework.response import Response
class DefaultPagination(pagination.PageNumberPagination):
"""
Default paginator f... | 33.393701 | 99 | 0.645367 |
2956d34f36de3975cd2027484809ea81cdbdd625 | 7,886 | py | Python | nova/tests/unit/virt/ironic/test_client_wrapper.py | ebalduf/nova-backports | 6bf97ec73467de522d34ab7a17ca0e0874baa7f9 | [
"Apache-2.0"
] | null | null | null | nova/tests/unit/virt/ironic/test_client_wrapper.py | ebalduf/nova-backports | 6bf97ec73467de522d34ab7a17ca0e0874baa7f9 | [
"Apache-2.0"
] | null | null | null | nova/tests/unit/virt/ironic/test_client_wrapper.py | ebalduf/nova-backports | 6bf97ec73467de522d34ab7a17ca0e0874baa7f9 | [
"Apache-2.0"
] | 1 | 2020-07-24T01:18:44.000Z | 2020-07-24T01:18:44.000Z | # Copyright 2014 Red Hat, 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... | 47.506024 | 78 | 0.692873 |
00e4c20e9907597dac8a175c50a0db0e7b13778d | 127 | py | Python | tests/mytest.py | abelit/abelit-DBReport | 4077cfb5164d19a3eb9570c48fff48600075f931 | [
"Apache-2.0"
] | null | null | null | tests/mytest.py | abelit/abelit-DBReport | 4077cfb5164d19a3eb9570c48fff48600075f931 | [
"Apache-2.0"
] | 4 | 2021-03-19T09:17:13.000Z | 2022-01-13T01:57:34.000Z | tests/mytest.py | abelit/abelit-DBReport | 4077cfb5164d19a3eb9570c48fff48600075f931 | [
"Apache-2.0"
] | null | null | null | '''
Created on Mar 7, 2018
@author: abelit
'''
import json
f = open("test.json", encoding='utf-8')
setting = json.load(f)
| 9.769231 | 39 | 0.629921 |
a6890c4b43095a39777d38f46767103d8ac287ef | 902 | py | Python | rllib/agents/ppo/utils.py | vermashresth/ray | 9aaaa508cacb90a5be714478970b2191aaa43170 | [
"Apache-2.0"
] | 78 | 2022-02-02T00:23:02.000Z | 2022-03-15T11:44:02.000Z | rllib/agents/ppo/utils.py | vermashresth/ray | 9aaaa508cacb90a5be714478970b2191aaa43170 | [
"Apache-2.0"
] | 3 | 2021-06-08T21:46:35.000Z | 2022-03-12T00:35:21.000Z | rllib/agents/ppo/utils.py | vermashresth/ray | 9aaaa508cacb90a5be714478970b2191aaa43170 | [
"Apache-2.0"
] | 3 | 2022-01-30T05:10:14.000Z | 2022-03-04T21:18:44.000Z | import numpy as np
def flatten(weights, start=0, stop=2):
"""This methods reshapes all values in a dictionary.
The indices from start to stop will be flattened into a single index.
Args:
weights: A dictionary mapping keys to numpy arrays.
start: The starting index.
stop: The endi... | 27.333333 | 73 | 0.652993 |
3a3ca0d38bbea8a00c48559c6943c92ff3cc8613 | 11,833 | py | Python | eval_rep.py | winycg/HSAKD | 74e464d630bafab20048327137fce09184c0ffa2 | [
"Apache-2.0"
] | 36 | 2021-05-03T10:48:37.000Z | 2022-03-27T02:05:00.000Z | eval_rep.py | LingFengGold/HSAKD | 74e464d630bafab20048327137fce09184c0ffa2 | [
"Apache-2.0"
] | 7 | 2021-05-11T01:22:09.000Z | 2022-03-30T15:40:09.000Z | eval_rep.py | LingFengGold/HSAKD | 74e464d630bafab20048327137fce09184c0ffa2 | [
"Apache-2.0"
] | 4 | 2021-05-11T01:22:20.000Z | 2021-12-04T08:20:47.000Z | import torch
import torch.nn as nn
import torch.optim as optim
import torch.backends.cudnn as cudnn
import torch.nn.functional as F
import os
import shutil
import argparse
import numpy as np
import models
import torchvision
import torchvision.transforms as transforms
from utils import cal_param_size, cal_multi_adds
... | 36.978125 | 147 | 0.607454 |
e598115e3195c29c207369bd7a36be4c235fbe8a | 20,212 | py | Python | samples/client/petstore/python/swagger_client/api_client.py | gabrielar/swagger-codegen | d84f848831b66e5941ac26ba0269432959f7ebd4 | [
"Apache-2.0"
] | 55 | 2019-05-09T06:43:05.000Z | 2021-12-08T05:56:43.000Z | samples/client/petstore/python/swagger_client/api_client.py | gabrielar/swagger-codegen | d84f848831b66e5941ac26ba0269432959f7ebd4 | [
"Apache-2.0"
] | 5 | 2020-06-06T00:40:42.000Z | 2021-06-10T22:36:12.000Z | samples/client/petstore/python/swagger_client/api_client.py | gabrielar/swagger-codegen | d84f848831b66e5941ac26ba0269432959f7ebd4 | [
"Apache-2.0"
] | 16 | 2019-08-08T07:15:35.000Z | 2021-12-07T15:34:41.000Z | # coding: utf-8
"""
Copyright 2016 SmartBear Software
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... | 34.908463 | 88 | 0.554126 |
a4b4a732f192724cee8dad3b9c44095a5048b642 | 1,384 | py | Python | time_and_test_error.py | goodfeli/momentum | e597edecd75401fc9db4358718b43d6aece87c4e | [
"BSD-3-Clause"
] | 4 | 2017-11-03T03:35:56.000Z | 2021-12-15T01:38:10.000Z | time_and_test_error.py | goodfeli/momentum | e597edecd75401fc9db4358718b43d6aece87c4e | [
"BSD-3-Clause"
] | null | null | null | time_and_test_error.py | goodfeli/momentum | e597edecd75401fc9db4358718b43d6aece87c4e | [
"BSD-3-Clause"
] | 5 | 2015-04-04T14:33:25.000Z | 2021-05-07T09:20:09.000Z | __author__ = "Ian Goodfellow"
import gc
from matplotlib import pyplot
import numpy as np
import os
import sys
from pylearn2.utils import serial
_, d1, d2 = sys.argv
pyplot.hold(True)
for i, d in enumerate([d1, d2]):
fs = os.listdir(d)
best = np.inf
x = []
y = []
assert len(fs) > 0
for f... | 23.457627 | 80 | 0.574422 |
4132959be50c8f9dc85450fcb4772cd6aa533d6b | 2,887 | py | Python | panda/examples/query_fw_versions.py | shoes22/openpilot | a965de3c96a53b67d106cfa775e3407db82dd0e1 | [
"MIT"
] | 1,279 | 2017-04-07T02:11:39.000Z | 2022-03-28T05:01:30.000Z | panda/examples/query_fw_versions.py | shoes22/openpilot | a965de3c96a53b67d106cfa775e3407db82dd0e1 | [
"MIT"
] | 473 | 2017-05-03T06:54:54.000Z | 2022-03-31T07:09:12.000Z | panda/examples/query_fw_versions.py | shoes22/openpilot | a965de3c96a53b67d106cfa775e3407db82dd0e1 | [
"MIT"
] | 610 | 2017-04-07T05:17:33.000Z | 2022-03-26T14:58:32.000Z | #!/usr/bin/env python3
import argparse
from tqdm import tqdm
from panda import Panda
from panda.python.uds import UdsClient, MessageTimeoutError, NegativeResponseError, SESSION_TYPE, DATA_IDENTIFIER_TYPE
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('--rxoffset', default="")
p... | 36.544304 | 118 | 0.686872 |
dc1354d9f36c1b736fb50b8cede6ee0a49464471 | 8,493 | py | Python | desktop/core/ext-py/lxml-3.3.6/src/lxml/sax.py | kokosing/hue | 2307f5379a35aae9be871e836432e6f45138b3d9 | [
"Apache-2.0"
] | 5,079 | 2015-01-01T03:39:46.000Z | 2022-03-31T07:38:22.000Z | desktop/core/ext-py/lxml-3.3.6/src/lxml/sax.py | zks888/hue | 93a8c370713e70b216c428caa2f75185ef809deb | [
"Apache-2.0"
] | 1,623 | 2015-01-01T08:06:24.000Z | 2022-03-30T19:48:52.000Z | desktop/core/ext-py/lxml-3.3.6/src/lxml/sax.py | zks888/hue | 93a8c370713e70b216c428caa2f75185ef809deb | [
"Apache-2.0"
] | 2,033 | 2015-01-04T07:18:02.000Z | 2022-03-28T19:55:47.000Z | """
SAX-based adapter to copy trees from/to the Python standard library.
Use the `ElementTreeContentHandler` class to build an ElementTree from
SAX events.
Use the `ElementTreeProducer` class or the `saxify()` function to fire
the SAX events of an ElementTree against a SAX ContentHandler.
See http://codespeak.net/lx... | 34.245968 | 79 | 0.608854 |
593ce73fd55ccc38b533887c8c9f350ccf94cf41 | 4,979 | py | Python | oasislmf/cli/test.py | augustoproiete-forks/OasisLMF--OasisLMF | 560749e9dd7d8bd84307cd2767517b3e1d3a1c01 | [
"BSD-3-Clause"
] | null | null | null | oasislmf/cli/test.py | augustoproiete-forks/OasisLMF--OasisLMF | 560749e9dd7d8bd84307cd2767517b3e1d3a1c01 | [
"BSD-3-Clause"
] | null | null | null | oasislmf/cli/test.py | augustoproiete-forks/OasisLMF--OasisLMF | 560749e9dd7d8bd84307cd2767517b3e1d3a1c01 | [
"BSD-3-Clause"
] | null | null | null | import oasislmf.cli.base
import tempfile
import os
from argparsetree import BaseCommand
from ..model_testing.validation import csv_validity_test
from ..utils.path import as_path
from ..utils.exceptions import OasisException
from .base import OasisBaseCommand
from .inputs import InputValues
from ..manager import Oa... | 28.947674 | 113 | 0.596505 |
65dd2ceac931427d68d9f5dca501e66cf2147a91 | 671 | py | Python | ProjectEulerPython/problems/problem_024.py | geo-desic/project-euler | 8065ee082a6948447ef961c9aa960c90a815a3ab | [
"MIT"
] | null | null | null | ProjectEulerPython/problems/problem_024.py | geo-desic/project-euler | 8065ee082a6948447ef961c9aa960c90a815a3ab | [
"MIT"
] | null | null | null | ProjectEulerPython/problems/problem_024.py | geo-desic/project-euler | 8065ee082a6948447ef961c9aa960c90a815a3ab | [
"MIT"
] | null | null | null | import math_helpers
from problems.problem import Problem
class Problem024(Problem):
def calculate_answer(self) -> int:
elements = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
n = 1000000
batch = n // 20
index = 1
returned_first_permutation = False
while True:
if index % batch == 0:
self.pri... | 25.807692 | 60 | 0.621461 |
fb0474b6971b6e3d7d3925a7b1d92bb0fcb96fb3 | 1,026 | py | Python | statistics/meters.py | ecs-vlc/opponency | f2eae25818be6c9c6e6541802b04b6c5e56112a2 | [
"MIT"
] | 12 | 2019-10-11T12:32:13.000Z | 2021-09-05T06:26:43.000Z | statistics/meters.py | ecs-vlc/opponency | f2eae25818be6c9c6e6541802b04b6c5e56112a2 | [
"MIT"
] | null | null | null | statistics/meters.py | ecs-vlc/opponency | f2eae25818be6c9c6e6541802b04b6c5e56112a2 | [
"MIT"
] | 1 | 2021-11-05T01:36:19.000Z | 2021-11-05T01:36:19.000Z | import collections
from pandas import DataFrame
class Meter:
def __init__(self, key_spec):
self.key_spec = key_spec
def compute(self, model, metadata, device):
raise NotImplementedError
def __add__(self, other):
return ConcatMeter(self, other)
def __call__(self, model, metad... | 30.176471 | 84 | 0.647173 |
9e9505364573a1f51a8fb38467054ad591ee5bb1 | 2,693 | py | Python | polygonscan/enums/actions_enum.py | sdadia/polygonscan-python | 6ef00e5e47d3a37203af3f05d7e344fb30e83409 | [
"MIT"
] | null | null | null | polygonscan/enums/actions_enum.py | sdadia/polygonscan-python | 6ef00e5e47d3a37203af3f05d7e344fb30e83409 | [
"MIT"
] | null | null | null | polygonscan/enums/actions_enum.py | sdadia/polygonscan-python | 6ef00e5e47d3a37203af3f05d7e344fb30e83409 | [
"MIT"
] | null | null | null | from dataclasses import dataclass
@dataclass(frozen=True)
class ActionsEnum:
BALANCE_HISTORY: str = "balancehistory"
BALANCE_MULTI: str = "balancemulti"
BALANCE: str = "balance"
CHAIN_SIZE: str = "chainsize"
DAILY_AVG_BLOCK_SIZE: str = "dailyavgblocksize"
DAILY_AVG_BLOCK_TIME: str = "dailyavgb... | 41.430769 | 86 | 0.737839 |
4bab4534fe5356ac7ebd1d65999fcf5764b4df45 | 3,722 | py | Python | relancer-exp/original_notebooks/nsrose7224_crowdedness-at-the-campus-gym/forecasting-with-facebook-prophet.py | Chenguang-Zhu/relancer | bf1a175b77b7da4cff12fbc5de17dd55246d264d | [
"Apache-2.0"
] | 1 | 2022-03-05T22:27:49.000Z | 2022-03-05T22:27:49.000Z | relancer-exp/original_notebooks/nsrose7224_crowdedness-at-the-campus-gym/forecasting-with-facebook-prophet.py | Chenguang-Zhu/relancer | bf1a175b77b7da4cff12fbc5de17dd55246d264d | [
"Apache-2.0"
] | null | null | null | relancer-exp/original_notebooks/nsrose7224_crowdedness-at-the-campus-gym/forecasting-with-facebook-prophet.py | Chenguang-Zhu/relancer | bf1a175b77b7da4cff12fbc5de17dd55246d264d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# # I have decided to interpretate the results using Facebook recently realeased Prophet, for TimeSeries forecast
# In[ ]:
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import matplotlib.pyplot as plt
import seaborn a... | 13.245552 | 154 | 0.648307 |
fdcfd44a5d1d05592bb3bc4b1223a03953537f94 | 4,447 | py | Python | huaweicloud-sdk-sms/huaweicloudsdksms/v3/model/command_body.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 64 | 2020-06-12T07:05:07.000Z | 2022-03-30T03:32:50.000Z | huaweicloud-sdk-sms/huaweicloudsdksms/v3/model/command_body.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 11 | 2020-07-06T07:56:54.000Z | 2022-01-11T11:14:40.000Z | huaweicloud-sdk-sms/huaweicloudsdksms/v3/model/command_body.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 24 | 2020-06-08T11:42:13.000Z | 2022-03-04T06:44:08.000Z | # coding: utf-8
import re
import six
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class CommandBody:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is att... | 26.789157 | 79 | 0.57387 |
5a061890cc8ae88cfaff4e31d51f433a9ffd92b6 | 4,948 | py | Python | eval.py | ericharley/dnn-binary-code-similarity | 8552d5b7a35095d901e6e3b3aec62bdc3a1d884e | [
"BSD-3-Clause"
] | 98 | 2018-08-31T01:59:51.000Z | 2022-03-31T09:41:19.000Z | eval.py | ericharley/dnn-binary-code-similarity | 8552d5b7a35095d901e6e3b3aec62bdc3a1d884e | [
"BSD-3-Clause"
] | 8 | 2019-04-15T10:32:46.000Z | 2021-12-23T12:07:24.000Z | eval.py | ericharley/dnn-binary-code-similarity | 8552d5b7a35095d901e6e3b3aec62bdc3a1d884e | [
"BSD-3-Clause"
] | 49 | 2018-11-16T14:54:25.000Z | 2022-03-09T17:51:48.000Z | import tensorflow as tf
print tf.__version__
#import matplotlib.pyplot as plt
import numpy as np
from datetime import datetime
from graphnnSiamese import graphnn
from utils import *
import os
import argparse
import json
parser = argparse.ArgumentParser()
parser.add_argument('--device', type=str, default='0',
h... | 34.84507 | 76 | 0.63561 |
64571c6b4f4744786da40a998113be2e760b42a3 | 1,375 | py | Python | configs/_base_/models/ocrnet_r50-d32.py | openseg-group/mmsegmentation | 23939f09d2b0bd30fc26eb7f8af974f1f5441210 | [
"Apache-2.0"
] | 2 | 2020-07-10T12:13:56.000Z | 2020-11-09T07:09:29.000Z | configs/_base_/models/ocrnet_r50-d32.py | openseg-group/mmsegmentation | 23939f09d2b0bd30fc26eb7f8af974f1f5441210 | [
"Apache-2.0"
] | null | null | null | configs/_base_/models/ocrnet_r50-d32.py | openseg-group/mmsegmentation | 23939f09d2b0bd30fc26eb7f8af974f1f5441210 | [
"Apache-2.0"
] | 2 | 2020-07-28T09:12:55.000Z | 2021-01-04T07:49:59.000Z | # model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
type='CascadeEncoderDecoder',
num_stages=2,
pretrained='open-mmlab://resnet50_v1c',
backbone=dict(
type='ResNetV1c',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
dilations=(1, 1... | 28.645833 | 78 | 0.540364 |
206127732675e5b4ef638067932c00334ae06384 | 4,153 | py | Python | tests/models/conftest.py | joshualyguessennd/ocean.py | 23274698df4aae078d53b12d768c721af16f6e80 | [
"Apache-2.0"
] | null | null | null | tests/models/conftest.py | joshualyguessennd/ocean.py | 23274698df4aae078d53b12d768c721af16f6e80 | [
"Apache-2.0"
] | 1 | 2021-02-16T18:31:53.000Z | 2021-02-16T18:31:53.000Z | tests/models/conftest.py | joshualyguessennd/ocean.py | 23274698df4aae078d53b12d768c721af16f6e80 | [
"Apache-2.0"
] | null | null | null | import os
import pytest
from ocean_lib.config_provider import ConfigProvider
from ocean_lib.models import btoken
from ocean_lib.models.bfactory import BFactory
from ocean_lib.models.data_token import DataToken
from ocean_lib.models.dtfactory import DTFactory
from ocean_lib.ocean.util import get_ocean_token_address, to... | 22.448649 | 84 | 0.722369 |
d0bc6c364682e6db1987033f0efebd4e11b11314 | 979 | py | Python | telegram2/views.py | juanbelieni/django-lp | 5e86d0f6f34bf6512ff5b7d6a4df88bfb89926cd | [
"MIT"
] | null | null | null | telegram2/views.py | juanbelieni/django-lp | 5e86d0f6f34bf6512ff5b7d6a4df88bfb89926cd | [
"MIT"
] | null | null | null | telegram2/views.py | juanbelieni/django-lp | 5e86d0f6f34bf6512ff5b7d6a4df88bfb89926cd | [
"MIT"
] | null | null | null | from django.shortcuts import render, reverse
from django.http import HttpResponse, HttpResponseRedirect, Http404
# Create your views here.
def index(request):
return HttpResponse("<h1>TELEGRAM2.apk baixar</h1>")
def introducao(request):
return render(request, 'telegram2/introducao.html')
def post(request,... | 26.459459 | 67 | 0.645557 |
676050eb290a481794f5e4a8dc1a30c9a59c5321 | 2,720 | py | Python | sdks/python/apache_beam/examples/cookbook/multiple_output_pardo_test.py | eyal0/beam | 9c6922976cc2a5c6a2ef836c1986ff769cda99a5 | [
"Apache-2.0"
] | 35 | 2016-09-22T22:53:14.000Z | 2020-02-13T15:12:21.000Z | sdks/python/apache_beam/examples/cookbook/multiple_output_pardo_test.py | eyal0/beam | 9c6922976cc2a5c6a2ef836c1986ff769cda99a5 | [
"Apache-2.0"
] | 80 | 2020-01-16T09:55:09.000Z | 2020-10-03T13:43:07.000Z | sdks/python/apache_beam/examples/cookbook/multiple_output_pardo_test.py | eyal0/beam | 9c6922976cc2a5c6a2ef836c1986ff769cda99a5 | [
"Apache-2.0"
] | 88 | 2016-11-27T02:16:11.000Z | 2020-02-28T05:10:26.000Z | #
# 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 us... | 34.871795 | 79 | 0.710662 |
a7f572323e090589656c721a3491a27eb3177384 | 11,551 | py | Python | exporter/opentelemetry-exporter-otlp/tests/test_otlp_trace_exporter.py | dengliming/opentelemetry-python | 65ddc2db20885ad8928c167c835dc8b54e4a491c | [
"Apache-2.0"
] | null | null | null | exporter/opentelemetry-exporter-otlp/tests/test_otlp_trace_exporter.py | dengliming/opentelemetry-python | 65ddc2db20885ad8928c167c835dc8b54e4a491c | [
"Apache-2.0"
] | null | null | null | exporter/opentelemetry-exporter-otlp/tests/test_otlp_trace_exporter.py | dengliming/opentelemetry-python | 65ddc2db20885ad8928c167c835dc8b54e4a491c | [
"Apache-2.0"
] | null | null | null | # Copyright The OpenTelemetry 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 applicable law or agreed to in ... | 39.289116 | 79 | 0.464722 |
9aacf305e38a0cf773a8f42112af24c74f5af062 | 1,093 | py | Python | microsoft/gestures/protocol/gestures_protocol.py | dany74q/python-microsoft-project-prague-sdk | abfea98d75e16c2d8862973e61970d99122f9cec | [
"MIT"
] | 1 | 2017-07-30T10:17:38.000Z | 2017-07-30T10:17:38.000Z | microsoft/gestures/protocol/gestures_protocol.py | dany74q/python-microsoft-project-prague-sdk | abfea98d75e16c2d8862973e61970d99122f9cec | [
"MIT"
] | null | null | null | microsoft/gestures/protocol/gestures_protocol.py | dany74q/python-microsoft-project-prague-sdk | abfea98d75e16c2d8862973e61970d99122f9cec | [
"MIT"
] | null | null | null | from microsoft.gestures.protocol.serialization_utils import dict_to_string
from microsoft.gestures.protocol.gestures_request import GesturesRequest
from microsoft.gestures.protocol.client_command import ClientCommand
from collections import OrderedDict
class GesturesProtocol(object):
def __init__(self, port):
self... | 37.689655 | 132 | 0.817932 |
651a05285c5f8c6429afe09f6eacf0612d11ee3e | 83 | py | Python | auctions/auctions/infrastructure/adapters/__init__.py | Enforcer/clean-architecture-example-1 | a51a2a2a4b8cc38f08305a919b0fa59264a91b20 | [
"MIT"
] | 34 | 2018-02-02T21:42:09.000Z | 2022-01-22T20:19:01.000Z | auctions/auctions/infrastructure/adapters/__init__.py | Enforcer/clean-architecture-example-1 | a51a2a2a4b8cc38f08305a919b0fa59264a91b20 | [
"MIT"
] | null | null | null | auctions/auctions/infrastructure/adapters/__init__.py | Enforcer/clean-architecture-example-1 | a51a2a2a4b8cc38f08305a919b0fa59264a91b20 | [
"MIT"
] | 10 | 2018-09-18T23:56:59.000Z | 2020-10-15T15:32:02.000Z | from auctions.infrastructure.adapters.dummy_email_gateway import DummyEmailGateway
| 41.5 | 82 | 0.915663 |
0a5bdeecaaabeb153f0ceb538afa732ea0aed4cd | 9,484 | py | Python | openpype/hosts/blender/plugins/load/load_layout_json.py | jojoba106/OpenPype | c49f7e474a05ca597c2f673e5c9f68ecfb788a31 | [
"MIT"
] | null | null | null | openpype/hosts/blender/plugins/load/load_layout_json.py | jojoba106/OpenPype | c49f7e474a05ca597c2f673e5c9f68ecfb788a31 | [
"MIT"
] | null | null | null | openpype/hosts/blender/plugins/load/load_layout_json.py | jojoba106/OpenPype | c49f7e474a05ca597c2f673e5c9f68ecfb788a31 | [
"MIT"
] | null | null | null | """Load a layout in Blender."""
import json
from pathlib import Path
from pprint import pformat
from typing import Dict, Optional
import bpy
from avalon import api
from openpype import lib
from openpype.hosts.blender.api.pipeline import (
AVALON_INSTANCES,
AVALON_CONTAINERS,
AVALON_PROPERTY,
AVALON_C... | 33.394366 | 79 | 0.583509 |
c8412fbb57ede3ddc3c36677acbd8755f99d5083 | 3,104 | py | Python | tests/configurations_test.py | d61h6k4/brep2graph | f6ac7b58bd36fbaf98a56aed3224496285b29167 | [
"Apache-2.0"
] | null | null | null | tests/configurations_test.py | d61h6k4/brep2graph | f6ac7b58bd36fbaf98a56aed3224496285b29167 | [
"Apache-2.0"
] | null | null | null | tests/configurations_test.py | d61h6k4/brep2graph | f6ac7b58bd36fbaf98a56aed3224496285b29167 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Petrov, Danil <ddbihbka@gmail.com>. All Rights Reserved.
# Author: Petrov, Danil <ddbihbka@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 may obtain a copy of the License at
#
# http://www.apache.... | 32 | 80 | 0.572809 |
f81963ff2de69c4bb6d9be36e78e7eb621367f92 | 1,577 | py | Python | other_models/lwf/toybox.py | kreimanlab/AugMem | cb0e8d39eb0c469da46c7c550c19229927a2bec5 | [
"MIT"
] | 6 | 2021-04-07T15:17:24.000Z | 2021-07-07T04:37:29.000Z | other_models/lwf/toybox.py | kreimanlab/AugMem | cb0e8d39eb0c469da46c7c550c19229927a2bec5 | [
"MIT"
] | null | null | null | other_models/lwf/toybox.py | kreimanlab/AugMem | cb0e8d39eb0c469da46c7c550c19229927a2bec5 | [
"MIT"
] | null | null | null | class toybox():
def __init__(self, paradigm, run):
self.batch_num = 6
self.rootdir = '/home/rushikesh/P1_Oct/toybox_task_filelists/'
self.train_data = []
self.train_labels = []
self.train_groups = [[],[],[],[],[],[]]
for b in range(self.batch_num):
with open( self.rootdir + paradigm + '/run' + str(ru... | 35.044444 | 128 | 0.60558 |
fd0eb87daf9a12b0dafce3d2e1d657a41adf978f | 421 | py | Python | src/pretalx/submission/migrations/0044_submission_editedvideo.py | leibert/pretalx | 4f9a5f3df680dcfe05312366ce4e68cf9b8dc34d | [
"Apache-2.0"
] | null | null | null | src/pretalx/submission/migrations/0044_submission_editedvideo.py | leibert/pretalx | 4f9a5f3df680dcfe05312366ce4e68cf9b8dc34d | [
"Apache-2.0"
] | null | null | null | src/pretalx/submission/migrations/0044_submission_editedvideo.py | leibert/pretalx | 4f9a5f3df680dcfe05312366ce4e68cf9b8dc34d | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.0.5 on 2020-06-07 17:05
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('submission', '0043_auto_20200607_1654'),
]
operations = [
migrations.AddField(
model_name='submission',
name='edited... | 22.157895 | 75 | 0.617577 |
02f375c7e064186d19b4361d678532557e672a7f | 4,429 | py | Python | lib/python2.7/site-packages/tensorflow/contrib/boosted_trees/python/ops/gen_ensemble_optimizer_ops.py | wangyum/anaconda | 6e5a0dbead3327661d73a61e85414cf92aa52be6 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | lib/python2.7/site-packages/tensorflow/contrib/boosted_trees/python/ops/gen_ensemble_optimizer_ops.py | wangyum/anaconda | 6e5a0dbead3327661d73a61e85414cf92aa52be6 | [
"Apache-2.0",
"BSD-3-Clause"
] | 10 | 2020-01-28T22:23:57.000Z | 2022-02-09T23:39:43.000Z | udacity-car/lib/python2.7/site-packages/tensorflow/contrib/boosted_trees/python/ops/gen_ensemble_optimizer_ops.py | 808brick/CarND-Capstone | f9e536b4a9d96322d7e971073602c8969dbd9369 | [
"MIT"
] | 1 | 2020-06-18T15:56:53.000Z | 2020-06-18T15:56:53.000Z | """Python wrappers around TensorFlow ops.
This file is MACHINE GENERATED! Do not edit.
"""
import collections as _collections
from tensorflow.core.framework import op_def_pb2 as _op_def_pb2
# Needed to trigger the call to _set_call_cpp_shape_fn.
from tensorflow.python.framework import common_shapes as _common_shape... | 40.263636 | 460 | 0.703093 |
4f605704746f1668545fbdd511aeb4928f5bd059 | 2,770 | py | Python | model.py | Ellavn/oaps | d5e565b3e6e09c3f2ee605c405d803529657d1bd | [
"MIT"
] | null | null | null | model.py | Ellavn/oaps | d5e565b3e6e09c3f2ee605c405d803529657d1bd | [
"MIT"
] | null | null | null | model.py | Ellavn/oaps | d5e565b3e6e09c3f2ee605c405d803529657d1bd | [
"MIT"
] | null | null | null | from app import db
class Article(db.Model):
__tablename__ = 'article'
id = db.Column(db.Integer,primary_key=True)
title = db.Column(db.Text)
user_id = db.Column(db.Text,db.ForeignKey('user.id'))
subject_id = db.Column(db.Integer,db.ForeignKey('subject.id'))
abstract = db.Column(db.Text)
hi... | 30.777778 | 83 | 0.684838 |
6df67895e75e940d873548750a5a3944d9e2b2d0 | 2,814 | py | Python | sealrtc/ancillary/calibrate_scc.py | aditya-sengupta/sealrtc | cadc01d63bd07590b30decbe5fb57c79b3e68503 | [
"CC0-1.0"
] | null | null | null | sealrtc/ancillary/calibrate_scc.py | aditya-sengupta/sealrtc | cadc01d63bd07590b30decbe5fb57c79b3e68503 | [
"CC0-1.0"
] | null | null | null | sealrtc/ancillary/calibrate_scc.py | aditya-sengupta/sealrtc | cadc01d63bd07590b30decbe5fb57c79b3e68503 | [
"CC0-1.0"
] | null | null | null | '''
generate the high order SCC IM
'''
import os
from os import path
import sys
import itertools
import numpy as np
from scipy.ndimage.interpolation import rotate
from scipy.signal import welch
import matplotlib.pyplot as plt
import matplotlib as mpl
import multiprocessing as mp
from tqdm.contrib.concurrent import pro... | 29.3125 | 187 | 0.734186 |
b9559f503b64fe28027a5fc0385c1f4ad25992f5 | 3,208 | py | Python | convertpdf/settings.py | smoreilly/scanyourpdf | dd8e3d12f989d00c28b6af32c3fa8d31af5fdcb1 | [
"MIT"
] | 1 | 2021-06-16T10:53:18.000Z | 2021-06-16T10:53:18.000Z | convertpdf/settings.py | smoreilly/scanyourpdf | dd8e3d12f989d00c28b6af32c3fa8d31af5fdcb1 | [
"MIT"
] | null | null | null | convertpdf/settings.py | smoreilly/scanyourpdf | dd8e3d12f989d00c28b6af32c3fa8d31af5fdcb1 | [
"MIT"
] | null | null | null | """
Django settings for convertpdf project.
Generated by 'django-admin startproject' using Django 3.0.5.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.0/ref/settings/
"""
import os... | 25.664 | 91 | 0.695761 |
616d8cb67faf5a65a627cdb13dab4602fb728588 | 11,284 | py | Python | textacy/resources/depeche_mood.py | tbsexton/textacy | 964614213c7261f91f09c106334269388d45f790 | [
"Apache-2.0"
] | null | null | null | textacy/resources/depeche_mood.py | tbsexton/textacy | 964614213c7261f91f09c106334269388d45f790 | [
"Apache-2.0"
] | null | null | null | textacy/resources/depeche_mood.py | tbsexton/textacy | 964614213c7261f91f09c106334269388d45f790 | [
"Apache-2.0"
] | null | null | null | """
DepecheMood
-----------
DepecheMood is a high-quality and high-coverage emotion lexicon for English and Italian
text, mapping individual terms to their emotional valences. These word-emotion weights
are inferred from crowd-sourced datasets of emotionally tagged news articles
(rappler.com for English, corriere.it f... | 37.240924 | 104 | 0.58871 |
78b1c181fed0889f3297e7f0eabe412398b6ea81 | 14,330 | py | Python | qiskit/aqua/operators/matrix_operator.py | desireevl/qiskit-aqua | 84c067f3170187be05f40ae5368d439c109fd895 | [
"Apache-2.0"
] | null | null | null | qiskit/aqua/operators/matrix_operator.py | desireevl/qiskit-aqua | 84c067f3170187be05f40ae5368d439c109fd895 | [
"Apache-2.0"
] | null | null | null | qiskit/aqua/operators/matrix_operator.py | desireevl/qiskit-aqua | 84c067f3170187be05f40ae5368d439c109fd895 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2018, 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any... | 36.649616 | 100 | 0.573482 |
cef96fd5e3c084399f8c6b0debe037e8345c2a15 | 3,531 | py | Python | netbox/wireless/urls.py | cybarox/netbox | ea197eff5f4fe925bb354d1375912decd81752bd | [
"Apache-2.0"
] | null | null | null | netbox/wireless/urls.py | cybarox/netbox | ea197eff5f4fe925bb354d1375912decd81752bd | [
"Apache-2.0"
] | null | null | null | netbox/wireless/urls.py | cybarox/netbox | ea197eff5f4fe925bb354d1375912decd81752bd | [
"Apache-2.0"
] | null | null | null | from django.urls import path
from netbox.views.generic import ObjectChangeLogView, ObjectJournalView
from . import views
from .models import *
app_name = 'wireless'
urlpatterns = (
# Wireless LAN groups
path('wireless-lan-groups/', views.WirelessLANGroupListView.as_view(), name='wirelesslangroup_list'),
... | 76.76087 | 154 | 0.755593 |
968a4fae2bef5c2e7a37c24c53218b99d3270db9 | 3,995 | py | Python | tests/test_util_merge.py | kviktor/dpath-python | 071d7b4fc0b036bea6b11cafc79a8612df990aa4 | [
"MIT"
] | 393 | 2015-01-05T15:29:39.000Z | 2021-04-11T13:09:55.000Z | tests/test_util_merge.py | kviktor/dpath-python | 071d7b4fc0b036bea6b11cafc79a8612df990aa4 | [
"MIT"
] | 90 | 2015-01-01T18:01:01.000Z | 2021-05-08T17:31:35.000Z | tests/test_util_merge.py | kviktor/dpath-python | 071d7b4fc0b036bea6b11cafc79a8612df990aa4 | [
"MIT"
] | 87 | 2015-01-05T19:38:56.000Z | 2021-04-25T09:04:15.000Z | import nose
import copy
from nose.tools import raises
import dpath.util
def test_merge_typesafe_and_separator():
src = {
"dict": {
"integer": 0,
},
}
dst = {
"dict": {
"integer": "3",
},
}
try:
dpath.util.merge(dst, src, flags=(dpa... | 20.075377 | 112 | 0.491865 |
94cc8ecf594c6a4bf71da22f7e18b7c18e376d90 | 9,762 | py | Python | logdevice/ops/ldops/types/maintenance_view.py | YangKian/LogDevice | e5c2168c11e9de867a1bcf519f95016e1c879b5c | [
"BSD-3-Clause"
] | 1,831 | 2018-09-12T15:41:52.000Z | 2022-01-05T02:38:03.000Z | logdevice/ops/ldops/types/maintenance_view.py | YangKian/LogDevice | e5c2168c11e9de867a1bcf519f95016e1c879b5c | [
"BSD-3-Clause"
] | 183 | 2018-09-12T16:14:59.000Z | 2021-12-07T15:49:43.000Z | logdevice/ops/ldops/types/maintenance_view.py | YangKian/LogDevice | e5c2168c11e9de867a1bcf519f95016e1c879b5c | [
"BSD-3-Clause"
] | 228 | 2018-09-12T15:41:51.000Z | 2022-01-05T08:12:09.000Z | #!/usr/bin/env python3
# pyre-strict
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import operator
from datetime import datetime, timedelta
from typing impor... | 34.013937 | 88 | 0.65714 |
2807978e4ddbdd15dc441507ce0ebbeb5351770b | 3,562 | py | Python | das_framework/dfxml/python/deidentify_xml.py | thinkmoore/das | d9faabf3de987b890a5079b914f5aba597215b14 | [
"CC0-1.0"
] | 35 | 2019-04-16T19:37:01.000Z | 2022-02-14T20:33:41.000Z | das_framework/dfxml/python/deidentify_xml.py | thinkmoore/das | d9faabf3de987b890a5079b914f5aba597215b14 | [
"CC0-1.0"
] | 6 | 2019-06-05T19:41:15.000Z | 2020-08-19T19:04:59.000Z | das_framework/dfxml/python/deidentify_xml.py | thinkmoore/das | d9faabf3de987b890a5079b914f5aba597215b14 | [
"CC0-1.0"
] | 12 | 2019-05-02T19:38:06.000Z | 2021-09-11T22:02:03.000Z | #!/usr/bin/python
#
# deidentify_xml.py:
# Given XML for a disk, remove information that might be personally identifying from filenames.
# remember the mapping so that directory names don't get changed.
#
# 2012-10-27 slg - updated to Python3
private_dirs = ["home/","usr/home","Users"]
ok_top_paths_win = ["program fil... | 33.603774 | 101 | 0.576923 |
19040765b0192a3b0bf56d4f02dd050cb66a09cc | 30,318 | py | Python | kiwi/wallet/cc_wallet/cc_wallet.py | KiwiNetworkOrg/chia-blockchain | 90ec3a0fd7b50f5b98b5b0478e28ebbe6f8e8a71 | [
"Apache-2.0"
] | 8 | 2021-08-21T03:10:13.000Z | 2022-02-09T04:30:05.000Z | kiwi/wallet/cc_wallet/cc_wallet.py | KiwiNetworkOrg/chia-blockchain | 90ec3a0fd7b50f5b98b5b0478e28ebbe6f8e8a71 | [
"Apache-2.0"
] | null | null | null | kiwi/wallet/cc_wallet/cc_wallet.py | KiwiNetworkOrg/chia-blockchain | 90ec3a0fd7b50f5b98b5b0478e28ebbe6f8e8a71 | [
"Apache-2.0"
] | 1 | 2021-09-03T02:30:26.000Z | 2021-09-03T02:30:26.000Z | from __future__ import annotations
import logging
import time
from dataclasses import replace
from secrets import token_bytes
from typing import Any, Dict, List, Optional, Set
from blspy import AugSchemeMPL, G2Element
from kiwi.consensus.cost_calculator import calculate_cost_of_program, NPCResult
from kiwi.full_node... | 40.532086 | 118 | 0.647536 |
d6c0ba1873f94f35697c3c67267ffa1d7a11c882 | 2,392 | py | Python | tests/functional/tests/engine/test_large_io.py | hammerg/ocf | adfa76a21af3d1fac5ca024257c6a7480e730821 | [
"BSD-3-Clause"
] | null | null | null | tests/functional/tests/engine/test_large_io.py | hammerg/ocf | adfa76a21af3d1fac5ca024257c6a7480e730821 | [
"BSD-3-Clause"
] | null | null | null | tests/functional/tests/engine/test_large_io.py | hammerg/ocf | adfa76a21af3d1fac5ca024257c6a7480e730821 | [
"BSD-3-Clause"
] | null | null | null | #
# Copyright(c) 2022 Intel Corporation
# SPDX-License-Identifier: BSD-3-Clause
#
from ctypes import c_int
from pyocf.types.cache import Cache
from pyocf.types.data import Data
from pyocf.types.core import Core
from pyocf.types.io import IoDir
from pyocf.types.volume import RamVolume, IoFlags
from pyocf.types.volume_... | 27.181818 | 84 | 0.709448 |
f060b36466055cfe2a49790923fdb80c728dcb51 | 7,558 | py | Python | LegoLib/legoMotor.py | rphuang/IotDevicesPy | 44b6e12338ce3c6a292b8ef9b3fa05c5d56b244b | [
"MIT"
] | null | null | null | LegoLib/legoMotor.py | rphuang/IotDevicesPy | 44b6e12338ce3c6a292b8ef9b3fa05c5d56b244b | [
"MIT"
] | null | null | null | LegoLib/legoMotor.py | rphuang/IotDevicesPy | 44b6e12338ce3c6a292b8ef9b3fa05c5d56b244b | [
"MIT"
] | null | null | null | from threading import RLock
from pylgbst.peripherals import EncodedMotor
from IotLib.pyUtils import startThread
from IotLib.log import Log
from IotLib.iotMotor import IotMotor
from IotLib.iotEncodedMotor import IotEncodedMotor
from .legoNode import SendCommand
# todo: LegoMotor inherits both IotMotor and IotSteering.
... | 43.94186 | 151 | 0.649775 |
bc3337348e0483d4278ce1a4574e748fd61007c1 | 37,783 | py | Python | src/sentry/south_migrations/0107_expand_user.py | AlexWayfer/sentry | ef935cda2b2e960bd602fda590540882d1b0712d | [
"BSD-3-Clause"
] | 2 | 2019-03-04T12:45:54.000Z | 2019-03-04T12:45:55.000Z | src/sentry/south_migrations/0107_expand_user.py | AlexWayfer/sentry | ef935cda2b2e960bd602fda590540882d1b0712d | [
"BSD-3-Clause"
] | 196 | 2019-06-10T08:34:10.000Z | 2022-02-22T01:26:13.000Z | src/sentry/south_migrations/0107_expand_user.py | AlexWayfer/sentry | ef935cda2b2e960bd602fda590540882d1b0712d | [
"BSD-3-Clause"
] | 2 | 2021-01-26T09:53:39.000Z | 2022-03-22T09:01:47.000Z | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
db.alter_column(
'auth_user', 'username',
self.gf('django.db.models.fields.CharField')(max_le... | 35.677998 | 96 | 0.386867 |
e62c349dc7a6d7639cf582c4704bb33885ccd9fb | 26,136 | py | Python | train_classification.py | krishanr/geo-deep-learning | 990ca1799dfeef317fe7438ec2f3eba9dfad70d5 | [
"MIT"
] | null | null | null | train_classification.py | krishanr/geo-deep-learning | 990ca1799dfeef317fe7438ec2f3eba9dfad70d5 | [
"MIT"
] | null | null | null | train_classification.py | krishanr/geo-deep-learning | 990ca1799dfeef317fe7438ec2f3eba9dfad70d5 | [
"MIT"
] | null | null | null | import torch
# import torch should be first. Unclear issue, mentioned here: https://github.com/pytorch/pytorch/issues/2083
import os
import argparse
from pathlib import Path
import csv
import time
import h5py
import datetime
import warnings
import functools
from tqdm import tqdm
from collections import OrderedDict
imp... | 48.4 | 176 | 0.630012 |
8c5ae42f5e69ba221a33c484766d25a39958f772 | 7,570 | py | Python | beautifly/main.py | kolomatskiy/beautifly | a92d4c9aba04bdcc8a31c7dc9e3927c91580f979 | [
"MIT"
] | null | null | null | beautifly/main.py | kolomatskiy/beautifly | a92d4c9aba04bdcc8a31c7dc9e3927c91580f979 | [
"MIT"
] | null | null | null | beautifly/main.py | kolomatskiy/beautifly | a92d4c9aba04bdcc8a31c7dc9e3927c91580f979 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 28 19:54:43 2021
@author: kolomatskiy
"""
import os
import requests
import cv2
import logging
from telegram import ReplyKeyboardMarkup, KeyboardButton
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
import filters
from dotenv import load_dotenv
... | 37.29064 | 186 | 0.657596 |
5e9246c73903cb4b08480304b3994685569c59ca | 10,808 | py | Python | code/ARAX/ARAXQuery/Expand/expand_utilities.py | RichardBruskiewich/RTX | ce126fdc5df6b5b13cc3ac2857ffee23954a0a7f | [
"MIT"
] | null | null | null | code/ARAX/ARAXQuery/Expand/expand_utilities.py | RichardBruskiewich/RTX | ce126fdc5df6b5b13cc3ac2857ffee23954a0a7f | [
"MIT"
] | null | null | null | code/ARAX/ARAXQuery/Expand/expand_utilities.py | RichardBruskiewich/RTX | ce126fdc5df6b5b13cc3ac2857ffee23954a0a7f | [
"MIT"
] | null | null | null | #!/bin/env python3
# This file contains utilities/helper functions for general use within the Expand module
import sys
import os
import time
import traceback
from typing import List, Dict, Union, Tuple
from response import Response
sys.path.append(os.path.dirname(os.path.abspath(__file__))+"/../../../UI/OpenAPI/pytho... | 41.569231 | 134 | 0.688749 |
cae800a63c7368bb8fafe729aff21d125caf6036 | 5,281 | py | Python | src/deeprace/models/tf_details/utils/logs/benchmark_uploader.py | psteinb/deeprace | a3e6cbc83e466f86a76d91c2077349e4d69495c2 | [
"BSD-3-Clause"
] | 11 | 2018-03-02T15:21:26.000Z | 2020-02-13T20:38:15.000Z | src/deeprace/models/tf_details/utils/logs/benchmark_uploader.py | psteinb/deeprace | a3e6cbc83e466f86a76d91c2077349e4d69495c2 | [
"BSD-3-Clause"
] | 13 | 2018-03-23T16:45:27.000Z | 2019-10-11T12:54:29.000Z | src/deeprace/models/tf_details/utils/logs/benchmark_uploader.py | psteinb/deeprace | a3e6cbc83e466f86a76d91c2077349e4d69495c2 | [
"BSD-3-Clause"
] | 1 | 2018-11-26T23:20:10.000Z | 2018-11-26T23:20:10.000Z | # Copyright 2018 The TensorFlow 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 applica... | 40.623077 | 85 | 0.66957 |
76e4e5d6006c7fc4c4f514d42d11bb04ef49e959 | 977 | py | Python | tex/figures/src/ch7_figures.py | albahnsen/phd-thesis | 8aedb00cba939b6f8a2f891f453a37206db1f635 | [
"BSD-3-Clause"
] | 9 | 2015-10-07T13:31:49.000Z | 2019-08-09T12:02:27.000Z | tex/figures/src/ch7_figures.py | albahnsen/phd-thesis | 8aedb00cba939b6f8a2f891f453a37206db1f635 | [
"BSD-3-Clause"
] | null | null | null | tex/figures/src/ch7_figures.py | albahnsen/phd-thesis | 8aedb00cba939b6f8a2f891f453a37206db1f635 | [
"BSD-3-Clause"
] | 6 | 2017-01-25T17:16:32.000Z | 2020-02-11T13:47:21.000Z | __author__ = 'al'
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn import linear_model
path = "/home/al/DriveAl/Publications/2015/phd-thesis/tex/figures/"
col_pal = sns.color_palette()
################################################... | 29.606061 | 93 | 0.605937 |
dfbc5e019a10dc5c439c5f4b6fd960f0986d3331 | 1,972 | py | Python | taro/dto.py | taro-suite/taro | baa76e75706bc824a799928d9b7548431b898338 | [
"MIT"
] | null | null | null | taro/dto.py | taro-suite/taro | baa76e75706bc824a799928d9b7548431b898338 | [
"MIT"
] | 26 | 2021-04-05T12:32:21.000Z | 2022-03-22T12:53:44.000Z | taro/dto.py | taro-suite/taro | baa76e75706bc824a799928d9b7548431b898338 | [
"MIT"
] | 1 | 2021-04-16T21:04:53.000Z | 2021-04-16T21:04:53.000Z | from typing import Dict, Any
from taro import util
from taro.jobs.execution import ExecutionError, ExecutionState, ExecutionLifecycle
from taro.jobs.job import JobInfo
def _format_td(td):
if td is None:
return None
return td.isoformat()
def to_info_dto(info) -> Dict[str, Any]:
lc = info.lifecyc... | 35.214286 | 117 | 0.65568 |
05967d8349d07c9f98a080f672c391729c315592 | 1,863 | py | Python | FilamentCalculator.py | vlmarch/rhino-tools | 491a17859f33613192e7a1d175ad7cee80521cba | [
"MIT"
] | null | null | null | FilamentCalculator.py | vlmarch/rhino-tools | 491a17859f33613192e7a1d175ad7cee80521cba | [
"MIT"
] | null | null | null | FilamentCalculator.py | vlmarch/rhino-tools | 491a17859f33613192e7a1d175ad7cee80521cba | [
"MIT"
] | null | null | null | import rhinoscriptsyntax as rs
import math
def FilamentCalculator():
"""3D Printing filament length, weight, volume calculator."""
input_obj = rs.SelectedObjects()
if not input_obj:
input_obj = rs.GetObjects("Select objects")
if not input_obj:return
volume = 0.0
for o in input_obj:
... | 27.80597 | 92 | 0.534622 |
4d6dfbb37fe08b44d20380237ee2c26d69705965 | 1,964 | py | Python | operations/operations/migrations/0005_auto_20180111_1226.py | kaizer88/emps | 2669b32c46befcf1a19390fb25013817e6b00980 | [
"MIT"
] | null | null | null | operations/operations/migrations/0005_auto_20180111_1226.py | kaizer88/emps | 2669b32c46befcf1a19390fb25013817e6b00980 | [
"MIT"
] | null | null | null | operations/operations/migrations/0005_auto_20180111_1226.py | kaizer88/emps | 2669b32c46befcf1a19390fb25013817e6b00980 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2018-01-11 10:26
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('operations', '0004_document_created_by'),
]
operations = [
migrations.Alter... | 35.071429 | 118 | 0.601324 |
bd0a618373393a0cab45ebb2cb0d878ae7d25a89 | 1,556 | py | Python | day_03/main.py | orfeasa/advent-of-code-2021 | f8a5e542e2d9a6364bb48c90b2148dc4a33608b4 | [
"MIT"
] | 29 | 2021-11-18T20:49:49.000Z | 2022-03-24T02:17:41.000Z | day_03/main.py | orfeasa/advent-of-code-2021 | f8a5e542e2d9a6364bb48c90b2148dc4a33608b4 | [
"MIT"
] | null | null | null | day_03/main.py | orfeasa/advent-of-code-2021 | f8a5e542e2d9a6364bb48c90b2148dc4a33608b4 | [
"MIT"
] | 4 | 2021-11-30T20:57:11.000Z | 2021-12-02T16:05:51.000Z | def part_one(filename: str) -> int:
with open(filename) as f:
nums = list(map(lambda line: [int(i) for i in line.strip()], f.readlines()))
counters = [sum(col) for col in zip(*nums)]
gamma = int("".join([str(int(c > len(nums) / 2)) for c in counters]), 2)
epsilon = int("".join([str(int(c < len(... | 29.923077 | 84 | 0.546915 |
f40caa5a35788cb725c0cd98f280e07abcace149 | 690 | py | Python | scripts/start_alsa.py | granolamatt/SoundProcessor | 6c903a20b2da268e054d5e9189d746e36ac38ce1 | [
"MIT"
] | null | null | null | scripts/start_alsa.py | granolamatt/SoundProcessor | 6c903a20b2da268e054d5e9189d746e36ac38ce1 | [
"MIT"
] | null | null | null | scripts/start_alsa.py | granolamatt/SoundProcessor | 6c903a20b2da268e054d5e9189d746e36ac38ce1 | [
"MIT"
] | null | null | null | import sys
sys.path.append('/home/matt/workarea/SoundProcessor/build')
import time
import dsp_example
#import ctypes
#libc = ctypes.CDLL(None)
alsa_capture = dsp_example.AlsaCapture()
alsa_capture.start()
time.sleep(2)
#log_proc = dsp_example.LogProcessor()
#log_proc.start()
print "hello"
ai = dsp_example.AlsaInterf... | 21.5625 | 73 | 0.695652 |
61b9acfa15b2bb1c182514fbe516cbc214dbe13c | 184 | py | Python | company/pagination.py | uktrade/directory-api | 45a9024a7ecc2842895201cbb51420ba9e57a168 | [
"MIT"
] | 2 | 2017-06-02T09:09:08.000Z | 2021-01-18T10:26:53.000Z | company/pagination.py | konradko/directory-api | e9cd05b1deaf575e94352c46ddbd1857d8119fda | [
"MIT"
] | 629 | 2016-10-10T09:35:52.000Z | 2022-03-25T15:04:04.000Z | company/pagination.py | konradko/directory-api | e9cd05b1deaf575e94352c46ddbd1857d8119fda | [
"MIT"
] | 5 | 2017-06-22T10:02:22.000Z | 2022-03-14T17:55:21.000Z | from rest_framework import pagination
class CompanyPublicProfile(pagination.PageNumberPagination):
page_size = 10
page_size_query_param = 'page_size'
max_page_size = 100
| 23 | 60 | 0.793478 |
2317e32031ba0efe2e3c210044419cbfd29490cf | 1,839 | py | Python | models.py | hogansung/udacity-computer-vision-nanodegree-program-project-1 | bc1bcc70f04e0df5635c181e7640975a05fd3412 | [
"MIT"
] | null | null | null | models.py | hogansung/udacity-computer-vision-nanodegree-program-project-1 | bc1bcc70f04e0df5635c181e7640975a05fd3412 | [
"MIT"
] | null | null | null | models.py | hogansung/udacity-computer-vision-nanodegree-program-project-1 | bc1bcc70f04e0df5635c181e7640975a05fd3412 | [
"MIT"
] | null | null | null | ## TODO: define the convolutional neural network architecture
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
# can use the below import should you choose to initialize the weights of your Net
import torch.nn.init as I
class Net(nn.Module):
def __init__(sel... | 36.78 | 113 | 0.60087 |
dd8656418139c274e58ad52f8e43e96030a06d51 | 1,225 | py | Python | django/conf/locale/lv/formats.py | egenerat/gae-django | f12379483cf3917ed3cb46ca5ff0b94daf89fc50 | [
"MIT"
] | 3 | 2016-07-08T23:49:32.000Z | 2018-04-15T22:55:01.000Z | django/conf/locale/lv/formats.py | egenerat/gae-django | f12379483cf3917ed3cb46ca5ff0b94daf89fc50 | [
"MIT"
] | 27 | 2017-02-05T15:57:04.000Z | 2018-04-15T22:57:26.000Z | django/conf/locale/lv/formats.py | egenerat/gae-django | f12379483cf3917ed3cb46ca5ff0b94daf89fc50 | [
"MIT"
] | null | null | null | # -*- encoding: utf-8 -*-
# This file is distributed under the same license as the Django package.
#
DATE_FORMAT = r'Y. \g\a\d\a j. F'
TIME_FORMAT = 'H:i:s'
DATETIME_FORMAT = r'Y. \g\a\d\a j. F, H:i:s'
YEAR_MONTH_FORMAT = r'Y. \g. F'
MONTH_DAY_FORMAT = 'j. F'
SHORT_DATE_FORMAT = r'j.m.Y'
SHORT_DATETIME_FORMA... | 33.108108 | 81 | 0.465306 |
26763026ed0dfd83d8ed650b187731828c678021 | 19,342 | py | Python | cinder/tests/unit/volume/drivers/netapp/dataontap/client/test_client_base.py | rackerlabs/cinder | 4295ff0a64f781c3546f6c6e0816dbb8100133cb | [
"Apache-2.0"
] | null | null | null | cinder/tests/unit/volume/drivers/netapp/dataontap/client/test_client_base.py | rackerlabs/cinder | 4295ff0a64f781c3546f6c6e0816dbb8100133cb | [
"Apache-2.0"
] | 1 | 2021-03-21T11:38:29.000Z | 2021-03-21T11:38:29.000Z | cinder/tests/unit/volume/drivers/netapp/dataontap/client/test_client_base.py | rackerlabs/cinder | 4295ff0a64f781c3546f6c6e0816dbb8100133cb | [
"Apache-2.0"
] | 15 | 2017-01-12T10:35:10.000Z | 2019-04-19T08:22:10.000Z | # Copyright (c) 2014 Alex Meade. All rights reserved.
# Copyright (c) 2015 Tom Barron. 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.a... | 40.805907 | 79 | 0.604901 |
cc994fb8df7640696b2bbd0e29d9ab1c732499f5 | 1,235 | py | Python | matlab/dates_and_time.py | MuadDev/PythonNuggets | 95d0cd6204e2e7f464ea21e75815b2dc9453a86f | [
"MIT"
] | null | null | null | matlab/dates_and_time.py | MuadDev/PythonNuggets | 95d0cd6204e2e7f464ea21e75815b2dc9453a86f | [
"MIT"
] | null | null | null | matlab/dates_and_time.py | MuadDev/PythonNuggets | 95d0cd6204e2e7f464ea21e75815b2dc9453a86f | [
"MIT"
] | null | null | null | # %%
# How to convert a Matlab datenum to a Python datetime?
from datetime import datetime, timedelta
def datenum_to_datetime(dn: float) -> datetime:
"""Converts a Matlab datenum to a Python datetime
From: https://stackoverflow.com/a/13965852/8488985
Example:
>>> dn = 731965.04835648148
... | 31.666667 | 101 | 0.65587 |
fd457f8dbbeb10ea10b222be46afdf6c41bcdf00 | 30,107 | py | Python | lib/ledsettings.py | theblackhat17/Piano-LED-Visualizer | 4c9ba4bbfe3754cb764e47a8753852adfa26d5a7 | [
"MIT"
] | null | null | null | lib/ledsettings.py | theblackhat17/Piano-LED-Visualizer | 4c9ba4bbfe3754cb764e47a8753852adfa26d5a7 | [
"MIT"
] | null | null | null | lib/ledsettings.py | theblackhat17/Piano-LED-Visualizer | 4c9ba4bbfe3754cb764e47a8753852adfa26d5a7 | [
"MIT"
] | null | null | null | import ast
import random
import time
from xml.dom import minidom
from lib.functions import fastColorWipe, find_between, clamp
from neopixel import Color
class LedSettings:
def __init__(self, usersettings):
self.usersettings = usersettings
self.red = int(usersettings.get_setting_value("red"))
... | 53.476021 | 121 | 0.601388 |
b28a8690e53d5b5418398966be9acdce973db45c | 17,089 | py | Python | electrum_dsv/tests/test_wallet.py | mboyd1/electrum-dsv | 1f8e26e6f6a50827fd83dfe018c5916fadde10c1 | [
"MIT"
] | null | null | null | electrum_dsv/tests/test_wallet.py | mboyd1/electrum-dsv | 1f8e26e6f6a50827fd83dfe018c5916fadde10c1 | [
"MIT"
] | null | null | null | electrum_dsv/tests/test_wallet.py | mboyd1/electrum-dsv | 1f8e26e6f6a50827fd83dfe018c5916fadde10c1 | [
"MIT"
] | null | null | null | import shutil
import tempfile
import sys
import os
import json
from decimal import Decimal
import time
from io import StringIO
from electrum_dsv.storage import WalletStorage
from electrum_dsv.wallet_db import FINAL_SEED_VERSION
from electrum_dsv.wallet import (Abstract_Wallet, Standard_Wallet, create_new_wallet,
... | 58.523973 | 2,651 | 0.734508 |
da8e8ad41d21b9cd65b24070dc1a60e949691c15 | 3,707 | py | Python | server/src/main_script.py | jnicolla/cost-coach | a62e38691f6ac29d23848dc4feaa848536e7bbcd | [
"MIT"
] | null | null | null | server/src/main_script.py | jnicolla/cost-coach | a62e38691f6ac29d23848dc4feaa848536e7bbcd | [
"MIT"
] | null | null | null | server/src/main_script.py | jnicolla/cost-coach | a62e38691f6ac29d23848dc4feaa848536e7bbcd | [
"MIT"
] | null | null | null | import os
import csv
from Plinko_Model import insuranceFunc
# If you wan to change the input files to obtain different output files, run the main_script.py
# Make sure you change the file name (pathname) in the process_data to the one you want to be runing
def getPath(rel_path):
script_path = os.path.abspath(__fil... | 37.826531 | 163 | 0.637712 |
99e6499a928d18698979352665d8fda37e55d56a | 725 | py | Python | tests/func/slack/TestSlackFixtures.py | StrandHQ/strand-slack | 44d63df66c7f26b516b1e823dbba6bd6afa49fee | [
"MIT"
] | null | null | null | tests/func/slack/TestSlackFixtures.py | StrandHQ/strand-slack | 44d63df66c7f26b516b1e823dbba6bd6afa49fee | [
"MIT"
] | null | null | null | tests/func/slack/TestSlackFixtures.py | StrandHQ/strand-slack | 44d63df66c7f26b516b1e823dbba6bd6afa49fee | [
"MIT"
] | null | null | null | import pytest
from src.models.domain.Agent import Agent
from src.models.domain.User import User
from tests.utils.create_in_db import insert_agent_user_installation
class TestSlackFixtures:
@pytest.fixture(scope='function')
def installed_user(self, db_session) -> User:
"""Inserts Agent, User, and Inst... | 36.25 | 81 | 0.74069 |
ecc4078b31833e2c53ad59ca9eb0368cb510b500 | 17,339 | py | Python | mne/transforms.py | Anevar/mne-python | 15b19ed6b9364ae4787f0df2fd7e689b3c0a30bb | [
"BSD-3-Clause"
] | 2 | 2015-09-27T20:33:49.000Z | 2020-04-22T19:10:56.000Z | mne/transforms.py | Anevar/mne-python | 15b19ed6b9364ae4787f0df2fd7e689b3c0a30bb | [
"BSD-3-Clause"
] | null | null | null | mne/transforms.py | Anevar/mne-python | 15b19ed6b9364ae4787f0df2fd7e689b3c0a30bb | [
"BSD-3-Clause"
] | 1 | 2018-09-15T09:45:38.000Z | 2018-09-15T09:45:38.000Z | # Authors: Alexandre Gramfort <gramfort@nmr.mgh.harvard.edu>
# Christian Brodbeck <christianbrodbeck@nyu.edu>
#
# License: BSD (3-clause)
import numpy as np
from numpy import sin, cos
from scipy import linalg
from copy import deepcopy
from .fiff import FIFF
from .fiff.open import fiff_open
from .fiff.tag imp... | 31.582878 | 80 | 0.541092 |
c41111d4291ede1534e1fadc2c1dea6e10527417 | 24,722 | py | Python | run_fashion_dnn_experiment.py | jramapuram/LifelongVAE | 91a1d61826637ed5d173679af25faca997532ee4 | [
"MIT"
] | 17 | 2017-06-03T23:00:17.000Z | 2020-11-29T03:04:38.000Z | run_fashion_dnn_experiment.py | jramapuram/LifelongVAE | 91a1d61826637ed5d173679af25faca997532ee4 | [
"MIT"
] | 1 | 2019-12-04T10:59:09.000Z | 2019-12-11T06:23:11.000Z | run_fashion_dnn_experiment.py | jramapuram/LifelongVAE | 91a1d61826637ed5d173679af25faca997532ee4 | [
"MIT"
] | 6 | 2017-05-30T09:28:53.000Z | 2018-08-02T09:57:11.000Z | import os
import sys
sys.setrecursionlimit(200)
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import tensorflow as tf
import numpy as np
import tensorflow.contrib.distributions as distributions
from fashion_number import Fashion_Class, Fashion, fashion
from lifelong... | 41.619529 | 131 | 0.572688 |
afd71571f7ae1d32ea037b6697c13621af22c796 | 19,087 | py | Python | bot.py | DeafeN22/bot | 40e98dac2c2023018bc2f87a010e063249ef5e45 | [
"MIT"
] | 1 | 2019-05-04T16:43:40.000Z | 2019-05-04T16:43:40.000Z | bot.py | DeafeN22/bot2 | 40e98dac2c2023018bc2f87a010e063249ef5e45 | [
"MIT"
] | null | null | null | bot.py | DeafeN22/bot2 | 40e98dac2c2023018bc2f87a010e063249ef5e45 | [
"MIT"
] | null | null | null | '''
MIT License
Copyright (c) 2019 TNkP#6750
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, dis... | 37.279297 | 134 | 0.575942 |
b606711d431033c6500df5cfa75dbbe7db36eba2 | 18 | py | Python | coverage-3.7.1/tests/modules/pkg2/p2a.py | I-Valchev/UrPas | 7babb5208fab6975891fba440e633cc9ad6e8718 | [
"Apache-2.0"
] | 1 | 2015-03-04T09:00:44.000Z | 2015-03-04T09:00:44.000Z | coverage-3.7.1/tests/modules/pkg2/p2a.py | I-Valchev/UrPas | 7babb5208fab6975891fba440e633cc9ad6e8718 | [
"Apache-2.0"
] | null | null | null | coverage-3.7.1/tests/modules/pkg2/p2a.py | I-Valchev/UrPas | 7babb5208fab6975891fba440e633cc9ad6e8718 | [
"Apache-2.0"
] | null | null | null | q = 1
r = 1
s = 1
| 4.5 | 5 | 0.333333 |
dd3ab37432c9823449c03ccea910402657e595d9 | 1,882 | py | Python | ooobuild/dyn/mozilla/menu_single_change.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/dyn/mozilla/menu_single_change.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/dyn/mozilla/menu_single_change.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
#
# Copyright 2022 :Barry-Thomas-Paul: Moss
#
# 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... | 34.851852 | 109 | 0.680659 |
a94f5a57c4c4165393c48605d6d814783982508b | 1,290 | py | Python | api/barriers/migrations/0104_auto_20210415_0836.py | uktrade/market-access-api | 850a59880f8f62263784bcd9c6b3362e447dbc7a | [
"MIT"
] | null | null | null | api/barriers/migrations/0104_auto_20210415_0836.py | uktrade/market-access-api | 850a59880f8f62263784bcd9c6b3362e447dbc7a | [
"MIT"
] | 51 | 2018-05-31T12:16:31.000Z | 2022-03-08T09:36:48.000Z | api/barriers/migrations/0104_auto_20210415_0836.py | uktrade/market-access-api | 850a59880f8f62263784bcd9c6b3362e447dbc7a | [
"MIT"
] | 2 | 2019-12-24T09:47:42.000Z | 2021-02-09T09:36:51.000Z | # Generated by Django 3.1.8 on 2021-04-15 08:36
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("barriers", "0103_auto_20210407_1012"),
]
operations = [
migrations.AlterField(
model_name="barrier",
name="trading_b... | 30.714286 | 69 | 0.469767 |
e4d15d1c3b79691d9f116cad9a8a09d3169dde23 | 3,481 | py | Python | k-NN-MNIST/k-nn.py | cc-shen/machine-learning | 447862f020ec0a384d9cb3ec0f6e15a6bb17504f | [
"MIT"
] | null | null | null | k-NN-MNIST/k-nn.py | cc-shen/machine-learning | 447862f020ec0a384d9cb3ec0f6e15a6bb17504f | [
"MIT"
] | null | null | null | k-NN-MNIST/k-nn.py | cc-shen/machine-learning | 447862f020ec0a384d9cb3ec0f6e15a6bb17504f | [
"MIT"
] | null | null | null | """
Charles Shen
October 11, 2017
"""
# Lin. alg. calculations
import numpy
# Distance calcuations
import scipy.spatial
# MNIST data set
import keras
from keras.datasets import mnist
# || x - y ||_{2}
def euclidean_distance(x, y):
return scipy.spatial.distance.euclidean(x, y)
# || x - y ||_{1}
def manh... | 32.53271 | 110 | 0.649526 |
d81f051f9dbcc7381f2877f7423759bed385e0da | 677 | py | Python | blog/auth.py | gabrielsroka/okta-flask-blog | 77389ca23fe01757a0535449471d2d6b559356b1 | [
"Unlicense"
] | null | null | null | blog/auth.py | gabrielsroka/okta-flask-blog | 77389ca23fe01757a0535449471d2d6b559356b1 | [
"Unlicense"
] | null | null | null | blog/auth.py | gabrielsroka/okta-flask-blog | 77389ca23fe01757a0535449471d2d6b559356b1 | [
"Unlicense"
] | null | null | null | """Authentication views and helpers."""
from os import environ
from flask import Blueprint, redirect, url_for
from flask_oidc import OpenIDConnect
from okta import UsersClient
bp = Blueprint("auth", __name__, url_prefix="/")
oidc = OpenIDConnect()
okta_client = UsersClient(environ.get("OKTA_ORG_URL"), environ.get(... | 21.15625 | 86 | 0.698671 |
b973f9e8b0a2acb5f79142d1588fba1681a1844b | 3,113 | py | Python | mmdet/models/necks/icarafe_3_sa_se_3_norm.py | zhaoyang97/mmdetection | 93ce0e7b735ad1ed2e7d856ef80e3aa598cb47e5 | [
"Apache-2.0"
] | null | null | null | mmdet/models/necks/icarafe_3_sa_se_3_norm.py | zhaoyang97/mmdetection | 93ce0e7b735ad1ed2e7d856ef80e3aa598cb47e5 | [
"Apache-2.0"
] | null | null | null | mmdet/models/necks/icarafe_3_sa_se_3_norm.py | zhaoyang97/mmdetection | 93ce0e7b735ad1ed2e7d856ef80e3aa598cb47e5 | [
"Apache-2.0"
] | null | null | null | import torch
from torch import nn
from torch.nn import functional as F
from .i_attention_layer import SqueezeExcitation_c64
from .i_attention_layer import SqueezeExcitation_c100
from .i_attention_layer import SpatialAttention
from .i_attention_layer import ConvBNReLU
from .i_attention_layer import SE
from .i_attention... | 38.432099 | 124 | 0.590748 |
ae26e4a20878ce28aff635b47db6d0aa8e46b6a4 | 4,691 | py | Python | GUImain.py | faizzahmed/ticker | 6eab0c9e3a595026b1ec9a65859659c74fefeb30 | [
"MIT"
] | null | null | null | GUImain.py | faizzahmed/ticker | 6eab0c9e3a595026b1ec9a65859659c74fefeb30 | [
"MIT"
] | null | null | null | GUImain.py | faizzahmed/ticker | 6eab0c9e3a595026b1ec9a65859659c74fefeb30 | [
"MIT"
] | null | null | null | # ______________________________________________________________________________________________________
# Stock Ticker Tkinter GUI
# WIP - use ticker script to expose same data via tkinter GUI
# ____________________________________________________________________________________________... | 32.576389 | 162 | 0.602857 |
fbd274d3663861c060b999c714ebf9e91ccf3c53 | 700 | py | Python | ExerciciosPython/ex026.py | MecaFlavio/Exercicios-Python-3-Curso-em-Video | b93272c15b19b04deff73f1b0a684a0b49313edf | [
"MIT"
] | null | null | null | ExerciciosPython/ex026.py | MecaFlavio/Exercicios-Python-3-Curso-em-Video | b93272c15b19b04deff73f1b0a684a0b49313edf | [
"MIT"
] | null | null | null | ExerciciosPython/ex026.py | MecaFlavio/Exercicios-Python-3-Curso-em-Video | b93272c15b19b04deff73f1b0a684a0b49313edf | [
"MIT"
] | null | null | null | # Exercício Python 26: Faça um programa que leia uma frase pelo teclado e mostre quantas vezes aparece a letra “A”,
# em que posição ela aparece a primeira vez e em que posição ela aparece a última vez.
frase = str(input('Escreva uma frase: ')).strip().lower()
a = frase.count('a')
b = frase.find('a')
c = frase.rfind('... | 41.176471 | 115 | 0.691429 |
0871b2f4a8d0a94982cc8d6c984ddcfe9d18290a | 73 | py | Python | tests/app/controller/__init__.py | angeleneleow/rocket2 | 649f49a94d123e78bfd014189e8fede31fa007f6 | [
"MIT"
] | null | null | null | tests/app/controller/__init__.py | angeleneleow/rocket2 | 649f49a94d123e78bfd014189e8fede31fa007f6 | [
"MIT"
] | null | null | null | tests/app/controller/__init__.py | angeleneleow/rocket2 | 649f49a94d123e78bfd014189e8fede31fa007f6 | [
"MIT"
] | null | null | null | """Pack the modules contained in the tests/app/controller directory."""
| 36.5 | 72 | 0.753425 |
4ca5d96fdca2a17c52e06814949d13651bfa6a55 | 3,977 | py | Python | data/complex/PCAD_main.py | markus-antero/Stock | 492e9b26c376d5e5f779e3b5cc2e51c7f92c7feb | [
"Apache-2.0"
] | null | null | null | data/complex/PCAD_main.py | markus-antero/Stock | 492e9b26c376d5e5f779e3b5cc2e51c7f92c7feb | [
"Apache-2.0"
] | null | null | null | data/complex/PCAD_main.py | markus-antero/Stock | 492e9b26c376d5e5f779e3b5cc2e51c7f92c7feb | [
"Apache-2.0"
] | null | null | null | '''
Created on 19.4.2017
@author: Markus.Walden
'''
from __future__ import print_function, division
import numpy as np
import matplotlib.pyplot as plt
from scipy import stats
# use seaborn plotting style defaults
import seaborn as sns; sns.set()
# premade pca SKLEARN
from sklearn.decomposition import... | 30.829457 | 91 | 0.567513 |
21f907cd6e953b2c3540e47b81bee6df2a00753c | 1,011 | py | Python | prompt_toolkit_dev/layout/mouse_handlers.py | tcrensink/python-prompt-toolkit | bc200c4a58d2a3059f8a4606e95ecdd731f4e1cd | [
"BSD-3-Clause"
] | null | null | null | prompt_toolkit_dev/layout/mouse_handlers.py | tcrensink/python-prompt-toolkit | bc200c4a58d2a3059f8a4606e95ecdd731f4e1cd | [
"BSD-3-Clause"
] | null | null | null | prompt_toolkit_dev/layout/mouse_handlers.py | tcrensink/python-prompt-toolkit | bc200c4a58d2a3059f8a4606e95ecdd731f4e1cd | [
"BSD-3-Clause"
] | null | null | null | from collections import defaultdict
from itertools import product
from typing import Callable, DefaultDict, Tuple
from prompt_toolkit_dev.mouse_events import MouseEvent
__all__ = [
'MouseHandlers',
]
class MouseHandlers:
"""
Two dimensional raster of callbacks for mouse events.
"""
def __init__(... | 29.735294 | 91 | 0.628091 |
fffcabd34df7ba1f64347d948b4b80811723afa8 | 482 | py | Python | python/cross-stack-resources/raw-strings/raw_strings/application_stack.py | marclyo/aws-cdk-examples | f041f07ebd4c94897e16d37ff813a38eb32645a1 | [
"Apache-2.0"
] | 2,941 | 2019-02-08T15:29:36.000Z | 2022-03-31T23:57:42.000Z | python/cross-stack-resources/raw-strings/raw_strings/application_stack.py | marclyo/aws-cdk-examples | f041f07ebd4c94897e16d37ff813a38eb32645a1 | [
"Apache-2.0"
] | 558 | 2019-02-14T23:32:02.000Z | 2022-03-30T00:35:11.000Z | python/cross-stack-resources/raw-strings/raw_strings/application_stack.py | marclyo/aws-cdk-examples | f041f07ebd4c94897e16d37ff813a38eb32645a1 | [
"Apache-2.0"
] | 1,409 | 2019-02-12T19:13:04.000Z | 2022-03-31T18:46:21.000Z | from aws_cdk import (
aws_lambda as lambda_,
aws_apigateway as apigw,
core
)
class ApplicationStack(core.Stack):
def __init__(self, scope: core.Construct, id: str, lambda_arn: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
referenced_function = lambda_.Function.... | 32.133333 | 122 | 0.705394 |
b5591c3bc975d3e8341ca7686acf63de9e492958 | 3,859 | py | Python | ais/plugins/task_mon/task_mon.py | rbogle/autoimgsys | 55808d0ddefb949a278bc9790c014f3b4fcf6fdb | [
"Unlicense"
] | 4 | 2017-04-10T02:50:05.000Z | 2018-10-31T12:07:55.000Z | ais/plugins/task_mon/task_mon.py | rbogle/autoimgsys | 55808d0ddefb949a278bc9790c014f3b4fcf6fdb | [
"Unlicense"
] | 1 | 2017-03-22T20:46:39.000Z | 2017-03-22T20:47:23.000Z | ais/plugins/task_mon/task_mon.py | rbogle/autoimgsys | 55808d0ddefb949a278bc9790c014f3b4fcf6fdb | [
"Unlicense"
] | 1 | 2018-09-12T19:31:16.000Z | 2018-09-12T19:31:16.000Z | # -*- coding: utf-8 -*-
from flask.ext.admin import expose
from flask import Markup
from apscheduler.events import *
from ais.lib.listener import Listener
from ais.ui.models import Event,Job,Plugin
from ais.ui import db
class Task_Monitor(Listener):
def __init__(self, **kwargs):
super(Task_Mo... | 37.466019 | 104 | 0.569059 |
e284f72a71e054e537a4c508d12bb067a9297ae2 | 1,880 | py | Python | cor.py | wellingtonfs/fsek-pessoal | c4e63eb36050614cab18f2ccc6eb5c62cd8b867d | [
"MIT"
] | null | null | null | cor.py | wellingtonfs/fsek-pessoal | c4e63eb36050614cab18f2ccc6eb5c62cd8b867d | [
"MIT"
] | null | null | null | cor.py | wellingtonfs/fsek-pessoal | c4e63eb36050614cab18f2ccc6eb5c62cd8b867d | [
"MIT"
] | 4 | 2019-08-20T15:07:01.000Z | 2020-03-10T13:53:18.000Z | #!/usr/bin/env python3
# so that script can be run from Brickman
import termios, tty, sys, time
from ev3dev.ev3 import *
from threading import *
# attach large motors to ports B and C, medium motor to port A
motor_left = LargeMotor('outC')
motor_right = LargeMotor('outD')
us = UltrasonicSensor('in3')
us2 = UltrasonicS... | 22.650602 | 81 | 0.54734 |
568b607412752d28aa132c4f73b55b536c0c2d9f | 838 | py | Python | h/migrations/versions/296573bb30b3_add_feature_featurecohort_association_table.py | pombredanne/h | 9c4c2dc0d53ed5bed5183936c24b4c27b23070b4 | [
"BSD-2-Clause"
] | 2,103 | 2015-01-07T12:47:49.000Z | 2022-03-29T02:38:25.000Z | h/migrations/versions/296573bb30b3_add_feature_featurecohort_association_table.py | pombredanne/h | 9c4c2dc0d53ed5bed5183936c24b4c27b23070b4 | [
"BSD-2-Clause"
] | 4,322 | 2015-01-04T17:18:01.000Z | 2022-03-31T17:06:02.000Z | h/migrations/versions/296573bb30b3_add_feature_featurecohort_association_table.py | admariner/h | 25ef1b8d94889df86ace5a084f1aa0effd9f4e25 | [
"BSD-2-Clause"
] | 389 | 2015-01-24T04:10:02.000Z | 2022-03-28T08:00:16.000Z | """
Add feature_featurecohort association table.
Revision ID: 296573bb30b3
Revises: f6ffcfc50583
Create Date: 2016-06-09 16:35:09.065224
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "296573bb30b3"
down_revision = "f6ffcfc50583"
def upgrade():
op.create_... | 26.1875 | 69 | 0.687351 |
cd724902edab598e8619902c82f58618729b3873 | 13,905 | py | Python | statestream/backends/backend_theano.py | boschresearch/statestream | 3ea93b2e0434cfaf5d546f37b2068dc0a0b8c281 | [
"Apache-2.0",
"MIT"
] | 9 | 2019-02-21T14:25:26.000Z | 2021-07-21T08:14:32.000Z | statestream/backends/backend_theano.py | VolkerFischer/statestream | 3ea93b2e0434cfaf5d546f37b2068dc0a0b8c281 | [
"Apache-2.0",
"MIT"
] | null | null | null | statestream/backends/backend_theano.py | VolkerFischer/statestream | 3ea93b2e0434cfaf5d546f37b2068dc0a0b8c281 | [
"Apache-2.0",
"MIT"
] | 1 | 2019-03-04T03:17:00.000Z | 2019-03-04T03:17:00.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2017 - for information on the respective copyright owner
# see the NOTICE file and/or the repository https://github.com/boschresearch/statestream
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.... | 24.964093 | 103 | 0.596404 |
f995525f5eb7edbd430ca0b2f7293c7cdecf83cd | 5,730 | py | Python | softlearning/samplers/simple_sampler.py | jschweiz/semester-project | c64d4335622e33c8effcf472e3709568195c51d1 | [
"MIT"
] | null | null | null | softlearning/samplers/simple_sampler.py | jschweiz/semester-project | c64d4335622e33c8effcf472e3709568195c51d1 | [
"MIT"
] | null | null | null | softlearning/samplers/simple_sampler.py | jschweiz/semester-project | c64d4335622e33c8effcf472e3709568195c51d1 | [
"MIT"
] | null | null | null | from collections import defaultdict
import tensorflow as tf
import numpy as np
from flatten_dict import flatten, unflatten
from softlearning.models.utils import flatten_input_structure
from .base_sampler import BaseSampler
class SimpleSampler(BaseSampler):
def __init__(self, latent_dim=0, session=None, **kwargs... | 34.727273 | 131 | 0.590401 |
a5a316d19d5bad5413f60942002c3eaed1cb591d | 14,987 | py | Python | sdcclient/secure/_policy_events_old.py | dark-vex/sysdig-sdk-python | 52962a0c283ca12b93a743ae8c5d1639a12b0998 | [
"MIT"
] | 45 | 2016-04-11T16:50:15.000Z | 2020-07-11T23:37:51.000Z | sdcclient/secure/_policy_events_old.py | dark-vex/sysdig-sdk-python | 52962a0c283ca12b93a743ae8c5d1639a12b0998 | [
"MIT"
] | 74 | 2016-08-09T17:10:55.000Z | 2020-07-09T08:36:16.000Z | sdcclient/secure/_policy_events_old.py | dark-vex/sysdig-sdk-python | 52962a0c283ca12b93a743ae8c5d1639a12b0998 | [
"MIT"
] | 39 | 2016-04-20T17:22:23.000Z | 2020-07-08T17:25:52.000Z | import datetime
import json
from warnings import warn
from sdcclient._common import _SdcCommon
class PolicyEventsClientOld(_SdcCommon):
def __init__(self, token="", sdc_url='https://secure.sysdig.com', ssl_verify=True, custom_headers=None):
super(PolicyEventsClientOld, self).__init__(token, sdc_url, ssl_... | 70.361502 | 432 | 0.66531 |
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