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5ccb6a24d0e76921694aa036b37017f07029dff1 | 7,057 | py | Python | linlearn/estimator/tmean.py | LinLearn/linlearn | de5752d47bbe8e2fb62d41b0dcf2526f87545e1c | [
"BSD-3-Clause"
] | null | null | null | linlearn/estimator/tmean.py | LinLearn/linlearn | de5752d47bbe8e2fb62d41b0dcf2526f87545e1c | [
"BSD-3-Clause"
] | null | null | null | linlearn/estimator/tmean.py | LinLearn/linlearn | de5752d47bbe8e2fb62d41b0dcf2526f87545e1c | [
"BSD-3-Clause"
] | null | null | null | # Authors: Stephane Gaiffas <stephane.gaiffas@gmail.com>
# Ibrahim Merad <imerad7@gmail.com>
# License: BSD 3 clause
"""
This module implement the ``TMean`` class for the trimmed-means robust estimator.
`StateTMean` is a place-holder for the TMean estimator containing:
"""
from collections import namedtupl... | 37.94086 | 128 | 0.54655 | # Authors: Stephane Gaiffas <stephane.gaiffas@gmail.com>
# Ibrahim Merad <imerad7@gmail.com>
# License: BSD 3 clause
"""
This module implement the ``TMean`` class for the trimmed-means robust estimator.
`StateTMean` is a place-holder for the TMean estimator containing:
"""
from collections import namedtupl... | 0 | 4,210 | 0 | 2,158 | 0 | 0 | 0 | 57 | 111 |
76070ea40a45d68adecb44f6e49e28cbf613905d | 610 | py | Python | LeetCode_589.py | xulu199705/LeetCode | 9a654a10117a93f9ad9728d6b86eb3713185545e | [
"MIT"
] | null | null | null | LeetCode_589.py | xulu199705/LeetCode | 9a654a10117a93f9ad9728d6b86eb3713185545e | [
"MIT"
] | null | null | null | LeetCode_589.py | xulu199705/LeetCode | 9a654a10117a93f9ad9728d6b86eb3713185545e | [
"MIT"
] | null | null | null |
#
| 22.592593 | 58 | 0.503279 | from typing import List
class Node:
def __init__(self, val=None, children=None):
self.val = val
self.children = children
# 迭代先序遍历
class Solution:
def preorder(self, root: 'Node') -> List[int]:
if root == None:
return []
ans = []
stack = []
stack.app... | 18 | 0 | 0 | 531 | 0 | 0 | 0 | 2 | 67 |
81c9590de251767964ac11b32b67667e2d773702 | 448 | py | Python | Examples/Session09/yield_example.py | Sharmila8/intropython2016 | a69aa6f6d0cd28c6a29d0b8adb9ef1ff9e2e8479 | [
"Unlicense"
] | null | null | null | Examples/Session09/yield_example.py | Sharmila8/intropython2016 | a69aa6f6d0cd28c6a29d0b8adb9ef1ff9e2e8479 | [
"Unlicense"
] | null | null | null | Examples/Session09/yield_example.py | Sharmila8/intropython2016 | a69aa6f6d0cd28c6a29d0b8adb9ef1ff9e2e8479 | [
"Unlicense"
] | null | null | null |
# if __name__ == '__main__':
# print "the generator function:"
# print repr(counter)
# print "call generator function"
# c = counter()
# print "the generator:"
# print repr(c)
# print 'iterate'
# for item in c:
# print 'received:', item
| 19.478261 | 38 | 0.540179 | def counter():
print('counter: starting counter')
i = -3
while i < 3:
i = i + 1
print('counter: yield', i)
yield i
return None
# if __name__ == '__main__':
# print "the generator function:"
# print repr(counter)
# print "call generator function"
# c = counter()... | 0 | 0 | 0 | 0 | 145 | 0 | 0 | 0 | 22 |
ea7cde7eec2b5e8c99aacc733efb17738221bb81 | 4,318 | py | Python | startrek-py/startrek/net/hub.py | moky/wormhole | bbfcfce13eb0ee86f8bb006deb7a3881173352c2 | [
"MIT"
] | 5 | 2020-05-24T03:35:00.000Z | 2021-06-05T00:27:54.000Z | startrek-py/startrek/net/hub.py | moky/wormhole | bbfcfce13eb0ee86f8bb006deb7a3881173352c2 | [
"MIT"
] | null | null | null | startrek-py/startrek/net/hub.py | moky/wormhole | bbfcfce13eb0ee86f8bb006deb7a3881173352c2 | [
"MIT"
] | 2 | 2020-09-11T05:29:11.000Z | 2022-03-13T15:45:22.000Z | # -*- coding: utf-8 -*-
#
# Star Trek: Interstellar Transport
#
# Written in 2021 by Moky <albert.moky@gmail.com>
#
# ==============================================================================
# MIT License
#
# Copyright (c) 2021 Albert Moky
#
# Permission is hereby granted, free of... | 32.223881 | 119 | 0.603057 | # -*- coding: utf-8 -*-
#
# Star Trek: Interstellar Transport
#
# Written in 2021 by Moky <albert.moky@gmail.com>
#
# ==============================================================================
# MIT License
#
# Copyright (c) 2021 Albert Moky
#
# Permission is hereby granted, free of... | 0 | 2,398 | 0 | 301 | 0 | 0 | 0 | 43 | 158 |
2b3dc140b83bd17428d4540aee0588d643a72af6 | 2,405 | py | Python | Python_Misc/TMWP_OO_CustDataStructures.py | TheMitchWorksPro/DataTech_Playground | d62266d21762315f431fb4f707940095901b85e6 | [
"MIT"
] | null | null | null | Python_Misc/TMWP_OO_CustDataStructures.py | TheMitchWorksPro/DataTech_Playground | d62266d21762315f431fb4f707940095901b85e6 | [
"MIT"
] | null | null | null | Python_Misc/TMWP_OO_CustDataStructures.py | TheMitchWorksPro/DataTech_Playground | d62266d21762315f431fb4f707940095901b85e6 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# Filename: TMWP_OO_CustDataStructures.py
# TMWP = TheMitchWorksPro
# Functions and/or Objects for smarter handling of common data structures
# required imports are noted in the code where used/required
# from ... import ...
version = '0.1'
python_version_support = 'code shoud be compatibi... | 30.833333 | 92 | 0.575468 | #!/usr/bin/python
# Filename: TMWP_OO_CustDataStructures.py
# TMWP = TheMitchWorksPro
# Functions and/or Objects for smarter handling of common data structures
# required imports are noted in the code where used/required
# from ... import ...
version = '0.1'
python_version_support = 'code shoud be compatibi... | 0 | 0 | 0 | 2,009 | 0 | 0 | 0 | -3 | 46 |
afc7055446a0082505c7e85721cf070a71325344 | 30,535 | py | Python | py/instalog/plugins/buffer_file_common.py | arccode/factory | a1b0fccd68987d8cd9c89710adc3c04b868347ec | [
"BSD-3-Clause"
] | 3 | 2022-01-06T16:52:52.000Z | 2022-03-07T11:30:47.000Z | py/instalog/plugins/buffer_file_common.py | arccode/factory | a1b0fccd68987d8cd9c89710adc3c04b868347ec | [
"BSD-3-Clause"
] | null | null | null | py/instalog/plugins/buffer_file_common.py | arccode/factory | a1b0fccd68987d8cd9c89710adc3c04b868347ec | [
"BSD-3-Clause"
] | 1 | 2021-10-24T01:47:22.000Z | 2021-10-24T01:47:22.000Z | # Copyright 2017 The Chromium OS Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""File-based buffer common.
A file-based buffer which writes its events to a single file on disk, and
separately maintains metadata.
There are three fi... | 38.360553 | 80 | 0.684166 | # Copyright 2017 The Chromium OS Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""File-based buffer common.
A file-based buffer which writes its events to a single file on disk, and
separately maintains metadata.
There are three fi... | 0 | 350 | 0 | 14,886 | 0 | 0 | 0 | 91 | 158 |
b4d3fe982d7be10dd3d9466b7731e2b90baea895 | 17,861 | py | Python | model/utils.py | Open-Debin/aCASTLE | 4c539c53ad35bae4592165ca45488d0de90cbc29 | [
"MIT"
] | 1 | 2021-04-19T12:59:54.000Z | 2021-04-19T12:59:54.000Z | model/utils.py | Open-Debin/aCASTLE | 4c539c53ad35bae4592165ca45488d0de90cbc29 | [
"MIT"
] | null | null | null | model/utils.py | Open-Debin/aCASTLE | 4c539c53ad35bae4592165ca45488d0de90cbc29 | [
"MIT"
] | null | null | null | import pprint
import torch
import numpy as np
## ------------------------ Basic Functions ------------------------
def one_hot(indices, depth):
"""
Returns a one-hot tensor.
This is a PyTorch equivalent of Tensorflow's tf.one_hot.
Parameters:
indices: a (n_batch, m) Tensor or (m) Tensor.
... | 43.038554 | 167 | 0.641621 | import os
import shutil
import time
import pprint
import torch
import argparse
import numpy as np
## ------------------------ Basic Functions ------------------------
def one_hot(indices, depth):
"""
Returns a one-hot tensor.
This is a PyTorch equivalent of Tensorflow's tf.one_hot.
Parameters:
... | 0 | 0 | 0 | 499 | 0 | 14,998 | 0 | -6 | 655 |
1ac556c1e79ea42c23fedfe570a7165833c427cc | 1,569 | py | Python | openhab_creator/output/items/__init__.py | DerOetzi/openhab_creator | 197876df5aae84192c34418f6b9a7cfcee23b195 | [
"MIT"
] | 1 | 2021-11-16T22:48:26.000Z | 2021-11-16T22:48:26.000Z | openhab_creator/output/items/__init__.py | DerOetzi/openhab_creator | 197876df5aae84192c34418f6b9a7cfcee23b195 | [
"MIT"
] | null | null | null | openhab_creator/output/items/__init__.py | DerOetzi/openhab_creator | 197876df5aae84192c34418f6b9a7cfcee23b195 | [
"MIT"
] | null | null | null | from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
| 30.173077 | 82 | 0.67304 | from __future__ import annotations
import os
from importlib import import_module
from typing import TYPE_CHECKING, List, Type, Dict, Union
from openhab_creator import logger
if TYPE_CHECKING:
from openhab_creator.models.configuration import Configuration
from openhab_creator.output.items.baseitemscreator imp... | 0 | 507 | 0 | 673 | 0 | 0 | 0 | 134 | 166 |
283f91dc3ccaf741fa166962553da42322f2d25f | 1,736 | py | Python | clean.py | SatvikVejendla/Titanic-Survival-AI | bff812d1753de361a60202e9e729b3780b8a50ac | [
"MIT"
] | null | null | null | clean.py | SatvikVejendla/Titanic-Survival-AI | bff812d1753de361a60202e9e729b3780b8a50ac | [
"MIT"
] | null | null | null | clean.py | SatvikVejendla/Titanic-Survival-AI | bff812d1753de361a60202e9e729b3780b8a50ac | [
"MIT"
] | null | null | null | import pandas as pd
from imblearn.over_sampling import RandomOverSampler
import math
#Training Data
re = RandomOverSampler()
df = pd.read_csv("data/raw/train.csv")
y = df["Survived"]
x = df.drop(["Survived", "Cabin", "Name", "PassengerId", "Ticket"], axis=1)
embark = ["C", "Q", "S"]
genders = ["male", "female"]
... | 22.842105 | 75 | 0.619816 | import pandas as pd
from imblearn.over_sampling import RandomOverSampler
import math
#Training Data
re = RandomOverSampler()
df = pd.read_csv("data/raw/train.csv")
y = df["Survived"]
x = df.drop(["Survived", "Cabin", "Name", "PassengerId", "Ticket"], axis=1)
embark = ["C", "Q", "S"]
genders = ["male", "female"]
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
641b121922a6092e913d2f84335b0aad5dc05398 | 2,145 | py | Python | src/harness/testcases/cu_pass/dpa_calculator/features/steps/dpa_neighborhood/environment/contexts/context_docker.py | NSF-Swift/Spectrum-Access-System | 02cf3490c9fd0cec38074d3bdb3bca63bb7d03bf | [
"Apache-2.0"
] | null | null | null | src/harness/testcases/cu_pass/dpa_calculator/features/steps/dpa_neighborhood/environment/contexts/context_docker.py | NSF-Swift/Spectrum-Access-System | 02cf3490c9fd0cec38074d3bdb3bca63bb7d03bf | [
"Apache-2.0"
] | null | null | null | src/harness/testcases/cu_pass/dpa_calculator/features/steps/dpa_neighborhood/environment/contexts/context_docker.py | NSF-Swift/Spectrum-Access-System | 02cf3490c9fd0cec38074d3bdb3bca63bb7d03bf | [
"Apache-2.0"
] | null | null | null | from cu_pass.dpa_calculator.dpa.builder import RadioAstronomyFacilityNames
ARBITRARY_BUCKET_NAME = 'arbitrary_bucket_name'
ARBITRARY_DPA_NAME = RadioAstronomyFacilityNames.HatCreek.value
ARBITRARY_NUMBER_OF_ITERATIONS = 1
ARBITRARY_RADIUS_IN_KILOMETERS = 2
ARBITRARY_OUTPUT_DIRECTORY = 'arbitrary_output_directory'
| 44.6875 | 131 | 0.844289 | from typing import List
from cu_pass.dpa_calculator.aggregate_interference_calculator.configuration.support.eirps import \
EIRP_DISTRIBUTION_MAP_TYPE
from cu_pass.dpa_calculator.cbsd.cbsd import CbsdCategories
from cu_pass.dpa_calculator.dpa.builder import RadioAstronomyFacilityNames
from cu_pass.dpa_calculator.dp... | 0 | 0 | 0 | 369 | 0 | 622 | 0 | 613 | 223 |
bf6189581c930d132f1857c28d3c0be6972362de | 6,966 | py | Python | tftpy/context/client.py | jcarswell/tftpy | 9c171c7e969b80f2c00728df21d5534b3191620a | [
"MIT"
] | null | null | null | tftpy/context/client.py | jcarswell/tftpy | 9c171c7e969b80f2c00728df21d5534b3191620a | [
"MIT"
] | null | null | null | tftpy/context/client.py | jcarswell/tftpy | 9c171c7e969b80f2c00728df21d5534b3191620a | [
"MIT"
] | null | null | null | import logging
logger = logging.getLogger('tftpy.context.client')
| 36.663158 | 113 | 0.548665 | import logging
import os
import sys
import time
from typing import Union
from io import IOBase
from .base import Client
from tftpy.shared import TIMEOUT_RETRIES
from tftpy.packet import types
from tftpy.exceptions import TftpException,TftpTimeout,TftpFileNotFoundError
from tftpy.states import SentReadRQ,S... | 0 | 0 | 0 | 6,522 | 0 | 0 | 0 | 82 | 283 |
b479d83b071cc8495e2321dfdca00c29ab7b085e | 1,778 | py | Python | lola/tests/test_coin_game.py | jleni/lola | 9b9a2122aefc97d9ed1529b875912816f1acb5d6 | [
"MIT"
] | 125 | 2018-07-08T18:50:08.000Z | 2022-03-07T09:31:12.000Z | lola/tests/test_coin_game.py | jleni/lola | 9b9a2122aefc97d9ed1529b875912816f1acb5d6 | [
"MIT"
] | 11 | 2018-07-09T17:55:56.000Z | 2021-04-13T23:49:40.000Z | lola/tests/test_coin_game.py | jleni/lola | 9b9a2122aefc97d9ed1529b875912816f1acb5d6 | [
"MIT"
] | 36 | 2018-07-09T08:05:14.000Z | 2022-03-12T19:52:49.000Z | import importlib
max_steps = 1000
terminate_prob = 0.998
batch_size = 5
gameEnv = importlib.import_module('coin_game_v')
env = gameEnv.gameEnv(terminate_prob=terminate_prob, max_steps=max_steps, batch_size=batch_size)
print('state_space', env.state_space)
print('red_pos', env.red_pos)
print('blue_pos', env.blue_pos)
... | 31.192982 | 96 | 0.697975 | import importlib
max_steps = 1000
terminate_prob = 0.998
batch_size = 5
gameEnv = importlib.import_module('coin_game_v')
env = gameEnv.gameEnv(terminate_prob=terminate_prob, max_steps=max_steps, batch_size=batch_size)
print('state_space', env.state_space)
print('red_pos', env.red_pos)
print('blue_pos', env.blue_pos)
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1b639764948babc8a713fc8d7eae08b3a9be84bf | 1,780 | py | Python | src/sprites/Upgrade.py | NEKERAFA/Soul-Tower | d37c0bf6bcbf253ec5b2c41f802adeeca31fb384 | [
"MIT"
] | null | null | null | src/sprites/Upgrade.py | NEKERAFA/Soul-Tower | d37c0bf6bcbf253ec5b2c41f802adeeca31fb384 | [
"MIT"
] | null | null | null | src/sprites/Upgrade.py | NEKERAFA/Soul-Tower | d37c0bf6bcbf253ec5b2c41f802adeeca31fb384 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
SPRITE_FILES = os.path.join("sprites", "interactives")
| 40.454545 | 108 | 0.629775 | # -*- coding: utf-8 -*-
import pygame, os
from src.sprites.MyStaticSprite import *
from src.sprites.Interactive import *
from src.ResourceManager import *
from src.scenes.stage.OnDialogueState import *
SPRITE_FILES = os.path.join("sprites", "interactives")
class Upgrade(MyStaticSprite, Interactive):
def __init__... | 2 | 0 | 0 | 1,497 | 0 | 0 | 0 | 80 | 111 |
e911a7d22b3f23667f14d95f7d6333c90dc8d5e9 | 1,034 | py | Python | ml_ops/visualization_blog/lambdas/createdataset/dataset.py | sriharshams/amazon-forecast-samples | d33392329311f52e86fb414ffd9a1e944d36e881 | [
"MIT-0"
] | 405 | 2018-12-02T21:36:15.000Z | 2022-03-29T12:52:40.000Z | ml_ops/visualization_blog/lambdas/createdataset/dataset.py | sriharshams/amazon-forecast-samples | d33392329311f52e86fb414ffd9a1e944d36e881 | [
"MIT-0"
] | 78 | 2018-12-20T21:33:02.000Z | 2022-02-02T12:43:27.000Z | ml_ops/visualization_blog/lambdas/createdataset/dataset.py | sriharshams/amazon-forecast-samples | d33392329311f52e86fb414ffd9a1e944d36e881 | [
"MIT-0"
] | 344 | 2018-12-11T15:58:25.000Z | 2022-03-31T11:09:41.000Z | from boto3 import client
from loader import Loader
ACCOUNTID = client('sts').get_caller_identity()['Account']
ARN = 'arn:aws:forecast:{region}:{account}:dataset/{name}'
LOADER = Loader()
| 30.411765 | 79 | 0.673114 | from os import environ
from boto3 import client
import actions
from loader import Loader
ACCOUNTID = client('sts').get_caller_identity()['Account']
ARN = 'arn:aws:forecast:{region}:{account}:dataset/{name}'
LOADER = Loader()
def lambda_handler(event, context):
datasets = event['params']['Datasets']
status = ... | 0 | 0 | 0 | 0 | 0 | 784 | 0 | -6 | 67 |
3a807d7d060e94e9383acbae2b77682c4bf36733 | 2,834 | py | Python | examples/id_based_encryption.py | elliptic-shiho/ecpy | ccdb872124ca2c218b8a7261a2956efd5ec83705 | [
"MIT"
] | 48 | 2016-03-30T07:20:49.000Z | 2022-01-27T10:48:43.000Z | examples/id_based_encryption.py | elliptic-shiho/ecpy | ccdb872124ca2c218b8a7261a2956efd5ec83705 | [
"MIT"
] | 11 | 2017-03-26T11:03:20.000Z | 2021-06-01T15:54:03.000Z | examples/id_based_encryption.py | elliptic-shiho/ecpy | ccdb872124ca2c218b8a7261a2956efd5ec83705 | [
"MIT"
] | 12 | 2016-06-05T19:09:26.000Z | 2021-04-18T04:23:20.000Z | from ecpy import EllipticCurve, ExtendedFiniteField
# PKI secret
secret = 0xdeadbeef
p = int("501794446334189957604282155189438160845433783392772743395579628617109"
"929160215221425142482928909270259580854362463493326988807453595748573"
"76419559953437557")
l = (p + 1) / 6
F = ExtendedFiniteField(p,... | 29.520833 | 79 | 0.613973 | from ecpy import EllipticCurve, ExtendedFiniteField, symmetric_tate_pairing
import hashlib
import random
import cPickle
# PKI secret
secret = 0xdeadbeef
p = int("501794446334189957604282155189438160845433783392772743395579628617109"
"929160215221425142482928909270259580854362463493326988807453595748573"
... | 0 | 0 | 0 | 0 | 0 | 1,621 | 0 | 2 | 204 |
db6094ae5dcf25106c386a249c62bbdac1127a6e | 4,784 | py | Python | src/byro/plugins/sepa/migrations/0001_initial.py | dnet/byro | 26dac998dfc2408224ebddc008f3df85f88f4a1a | [
"Apache-2.0"
] | 114 | 2017-08-12T16:47:49.000Z | 2022-03-17T12:22:59.000Z | src/byro/plugins/sepa/migrations/0001_initial.py | dnet/byro | 26dac998dfc2408224ebddc008f3df85f88f4a1a | [
"Apache-2.0"
] | 191 | 2017-08-13T09:12:37.000Z | 2022-03-30T19:57:18.000Z | src/byro/plugins/sepa/migrations/0001_initial.py | dnet/byro | 26dac998dfc2408224ebddc008f3df85f88f4a1a | [
"Apache-2.0"
] | 45 | 2017-08-13T09:32:19.000Z | 2022-03-11T21:36:29.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2017-10-12 20:32
from __future__ import unicode_literals
| 33.690141 | 139 | 0.354724 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2017-10-12 20:32
from __future__ import unicode_literals
import annoying.fields
import byro.common.models.auditable
from django.db import migrations, models
import django.db.models.deletion
import localflavor.generic.models
class Migration(migrations.Migration)... | 0 | 0 | 0 | 4,479 | 0 | 0 | 0 | 57 | 134 |
1d56bd0859c31a8e9b68e858edb002f8e9a04340 | 5,438 | py | Python | src/api/bkuser_core/categories/plugins/ldap/adaptor.py | shabbywu/bk-user | 8ea590958a5c6dd3c71d0b72e1d4866ce327efda | [
"MIT"
] | null | null | null | src/api/bkuser_core/categories/plugins/ldap/adaptor.py | shabbywu/bk-user | 8ea590958a5c6dd3c71d0b72e1d4866ce327efda | [
"MIT"
] | null | null | null | src/api/bkuser_core/categories/plugins/ldap/adaptor.py | shabbywu/bk-user | 8ea590958a5c6dd3c71d0b72e1d4866ce327efda | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from typing import List
from ldap3.utils import dn as dn_utils
def parse_dn_tree(dn: str, restrict_types: List[str] = None) -> List[RDN]:
"""A DN is a sequence of relative distinguished names (RDN) connected by commas, For examples:
we have a dn = "CN=Jeff Smith,OU=Sales,DC=Fabrik... | 38.295775 | 115 | 0.668444 | # -*- coding: utf-8 -*-
from dataclasses import dataclass
from typing import Any, Dict, List, NamedTuple, Optional
from bkuser_core.categories.plugins.ldap.models import DepartmentProfile, UserProfile
from bkuser_core.user_settings.loader import ConfigProvider
from django.utils.encoding import force_str
from ldap3.uti... | 417 | 1,091 | 0 | 86 | 0 | 1,473 | 0 | 169 | 181 |
f1ebbe6c83b7976dc88a8d4893dacd7fb0cdb353 | 1,540 | py | Python | Day04.py | lsiepman/AdventOfCode2017 | 3ec620bef0971ceeadee28605ec8defba33b4bc5 | [
"MIT"
] | null | null | null | Day04.py | lsiepman/AdventOfCode2017 | 3ec620bef0971ceeadee28605ec8defba33b4bc5 | [
"MIT"
] | null | null | null | Day04.py | lsiepman/AdventOfCode2017 | 3ec620bef0971ceeadee28605ec8defba33b4bc5 | [
"MIT"
] | null | null | null | # IMPORTS
# DATA
data = []
with open("Data - Day04.txt") as file:
for line in file:
data.append(line.strip().split(" "))
# GOAL 1
"""
A new system policy has been put in place that requires all accounts to use a passphrase
instead of simply a password.
A passphrase consists of a series of words (lowerca... | 25.666667 | 105 | 0.698701 | # IMPORTS
# DATA
data = []
with open("Data - Day04.txt") as file:
for line in file:
data.append(line.strip().split(" "))
# GOAL 1
"""
A new system policy has been put in place that requires all accounts to use a passphrase
instead of simply a password.
A passphrase consists of a series of words (lowerca... | 0 | 0 | 0 | 0 | 0 | 156 | 0 | 0 | 23 |
f3a48cb7c9060bd4d80fd365373cb167e56aa4aa | 710 | py | Python | src/azure-cli-core/azure/cli/core/auth/tests/test_adal_authentication.py | YuanyuanNi/azure-cli | 63844964374858bfacd209bfe1b69eb456bd64ca | [
"MIT"
] | 3,287 | 2016-07-26T17:34:33.000Z | 2022-03-31T09:52:13.000Z | src/azure-cli-core/azure/cli/core/auth/tests/test_adal_authentication.py | YuanyuanNi/azure-cli | 63844964374858bfacd209bfe1b69eb456bd64ca | [
"MIT"
] | 19,206 | 2016-07-26T07:04:42.000Z | 2022-03-31T23:57:09.000Z | src/azure-cli-core/azure/cli/core/auth/tests/test_adal_authentication.py | YuanyuanNi/azure-cli | 63844964374858bfacd209bfe1b69eb456bd64ca | [
"MIT"
] | 2,575 | 2016-07-26T06:44:40.000Z | 2022-03-31T22:56:06.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 37.368421 | 94 | 0.557746 | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 0 | 0 | 0 | 200 | 0 | 0 | 0 | 52 | 46 |
cc8b768dfe5908a23f0c137ef0e57006b53db5c0 | 5,861 | py | Python | loggers_control/scripts/solo_escape_vpg_train.py | IRASatUC/two_loggers | c5c99868a9c896aa2fdb940f2f7b7173abed9e00 | [
"MIT"
] | null | null | null | loggers_control/scripts/solo_escape_vpg_train.py | IRASatUC/two_loggers | c5c99868a9c896aa2fdb940f2f7b7173abed9e00 | [
"MIT"
] | null | null | null | loggers_control/scripts/solo_escape_vpg_train.py | IRASatUC/two_loggers | c5c99868a9c896aa2fdb940f2f7b7173abed9e00 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
"""
An implementation of Vanilla Policy Gradient (VPG) for solo_escape_task
VPG is a model free, on policy, reinforcement learning algorithm (https://papers.nips.cc/paper/1713-policy-gradient-methods-for-reinforcement-learning-with-function-approximation.pdf)
Author: LinZHanK (linzhank@gmail.com)... | 40.42069 | 183 | 0.627026 | #! /usr/bin/env python
"""
An implementation of Vanilla Policy Gradient (VPG) for solo_escape_task
VPG is a model free, on policy, reinforcement learning algorithm (https://papers.nips.cc/paper/1713-policy-gradient-methods-for-reinforcement-learning-with-function-approximation.pdf)
Author: LinZHanK (linzhank@gmail.com)... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 22 |
e45667b241db8c1639b0fc558affff0913b99a11 | 855 | py | Python | buycoins/auth.py | iyanuashiri/buycoin-python-sdk | c791ad48dc2ca518c5e05c09fbcaf8e05f8a22b9 | [
"MIT"
] | 1 | 2021-05-12T11:24:11.000Z | 2021-05-12T11:24:11.000Z | buycoins/auth.py | iyanuashiri/buycoin-python-sdk | c791ad48dc2ca518c5e05c09fbcaf8e05f8a22b9 | [
"MIT"
] | null | null | null | buycoins/auth.py | iyanuashiri/buycoin-python-sdk | c791ad48dc2ca518c5e05c09fbcaf8e05f8a22b9 | [
"MIT"
] | null | null | null | # Buycoin Python SDK
# Copyright 2021 Iyanuoluwa Ajao
# See LICENCE for details.
"""
Authentication is handled by the :any:`Airtable` class.
>>> airtable = Airtable(base_key, table_name, api_key)
Note:
You can also use this class to handle authentication for you if you
are making your own wrapper:
>>> aut... | 25.147059 | 96 | 0.65731 | # Buycoin Python SDK
# Copyright 2021 Iyanuoluwa Ajao
# See LICENCE for details.
"""
Authentication is handled by the :any:`Airtable` class.
>>> airtable = Airtable(base_key, table_name, api_key)
Note:
You can also use this class to handle authentication for you if you
are making your own wrapper:
>>> aut... | 0 | 0 | 0 | 339 | 0 | 0 | 0 | 13 | 46 |
3fbb3343817355008ebb4eef4a88009376424e09 | 5,360 | py | Python | Utilities/ReleaseScripts/scripts/ws_sso_content_reader.py | Purva-Chaudhari/cmssw | 32e5cbfe54c4d809d60022586cf200b7c3020bcf | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | Utilities/ReleaseScripts/scripts/ws_sso_content_reader.py | Purva-Chaudhari/cmssw | 32e5cbfe54c4d809d60022586cf200b7c3020bcf | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | Utilities/ReleaseScripts/scripts/ws_sso_content_reader.py | Purva-Chaudhari/cmssw | 32e5cbfe54c4d809d60022586cf200b7c3020bcf | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | #!/usr/bin/env python3
###Description: The tool reads cern web services behind SSO using user certificates
from __future__ import print_function
from optparse import OptionParser
if __name__ == "__main__":
parser = OptionParser(usage="%prog [-d(ebug)] -o(ut) COOKIE_FILENAME -c(cert) CERN-PEM -k(ey) CERT-KEY -u(rl) U... | 44.666667 | 157 | 0.705037 | #!/usr/bin/env python3
###Description: The tool reads cern web services behind SSO using user certificates
from __future__ import print_function
import os, urllib, urllib2, httplib, cookielib, sys, HTMLParser, re
from optparse import OptionParser
def getFile(path):
npath = os.path.expanduser(path)
while os.path.is... | 0 | 0 | 0 | 383 | 0 | 3,558 | 0 | 46 | 233 |
dfa763b060a7dac72bb41d68286cd5c008f99b9d | 5,437 | py | Python | client/verta/tests/custom_modules/test_custom_modules.py | mitdbg/modeldb | 1d42591ea7ce2a1f7211e40dc46a79e53fa290f0 | [
"MIT"
] | 835 | 2017-02-08T20:14:24.000Z | 2020-03-12T17:37:49.000Z | client/verta/tests/custom_modules/test_custom_modules.py | mitdbg/modeldb | 1d42591ea7ce2a1f7211e40dc46a79e53fa290f0 | [
"MIT"
] | 113 | 2017-02-12T02:04:37.000Z | 2019-12-05T09:33:12.000Z | client/verta/tests/custom_modules/test_custom_modules.py | mitdbg/modeldb | 1d42591ea7ce2a1f7211e40dc46a79e53fa290f0 | [
"MIT"
] | 170 | 2017-02-13T14:49:22.000Z | 2020-02-19T17:59:12.000Z | # -*- coding: utf-8 -*-
from .. import utils
| 39.398551 | 97 | 0.622034 | # -*- coding: utf-8 -*-
import filecmp
import json
import os
import pkgutil
import zipfile
import hypothesis
import pytest
import six
from verta.tracking.entities._deployable_entity import _DeployableEntity
from verta._internal_utils.custom_modules import CustomModules
from .. import utils
from . import contexts
... | 0 | 2,461 | 0 | 2,634 | 0 | 0 | 0 | 27 | 268 |
9f0907cd2068ea5228993bfd0610324a10152909 | 135 | py | Python | src/privatemedia/fileutils.py | Talengi/phase | 60ff6f37778971ae356c5b2b20e0d174a8288bfe | [
"MIT"
] | 8 | 2016-01-29T11:53:40.000Z | 2020-03-02T22:42:02.000Z | src/privatemedia/fileutils.py | PhaseDMS/phase | 4f776d0b1b5e7916a3e26aee890b3c2b9454ef0e | [
"MIT"
] | 289 | 2015-03-23T07:42:52.000Z | 2022-03-11T23:26:10.000Z | src/privatemedia/fileutils.py | Talengi/phase | 60ff6f37778971ae356c5b2b20e0d174a8288bfe | [
"MIT"
] | 7 | 2015-12-08T09:03:20.000Z | 2020-05-11T15:36:51.000Z | # We need those imports for migrations compatibility purpose
| 45 | 73 | 0.844444 | # We need those imports for migrations compatibility purpose
from privatemedia.storage import ProtectedStorage, PrivateStorage # noqa
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 30 |
2d7635ac6f4ed320e89fc80aef9f0d67f08346b4 | 1,786 | py | Python | remote/vagrant_api.py | devaos/sublime-remote | d0dd57f464d599f0277b76bc19a4ba8c940f081d | [
"MIT"
] | 2 | 2016-12-30T12:43:54.000Z | 2018-06-23T20:08:24.000Z | remote/vagrant_api.py | devaos/sublime-remote | d0dd57f464d599f0277b76bc19a4ba8c940f081d | [
"MIT"
] | null | null | null | remote/vagrant_api.py | devaos/sublime-remote | d0dd57f464d599f0277b76bc19a4ba8c940f081d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (c) 2014 Ari Aosved
# http://github.com/devaos/sublime-remote/blob/master/LICENSE
"""This module implements an API layer for Vagrant related functionality."""
import re
import subprocess
# =============================================================================
def parse_... | 27.476923 | 79 | 0.56383 | # -*- coding: utf-8 -*-
#
# Copyright (c) 2014 Ari Aosved
# http://github.com/devaos/sublime-remote/blob/master/LICENSE
"""This module implements an API layer for Vagrant related functionality."""
import re
import subprocess
# =============================================================================
def parse_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
041bab6ee68b38136895b05d676af598dec6d4bb | 10,708 | py | Python | main.py | Aus-miner/Miner-Model | f7abc9f74cec00f82a2df6e359363670a64ad72f | [
"MIT"
] | 18 | 2021-04-18T03:51:22.000Z | 2022-03-16T13:14:36.000Z | main.py | Aus-miner/Miner-Model | f7abc9f74cec00f82a2df6e359363670a64ad72f | [
"MIT"
] | 1 | 2021-05-04T14:27:02.000Z | 2021-05-04T14:27:02.000Z | main.py | Aus-miner/Miner-Model | f7abc9f74cec00f82a2df6e359363670a64ad72f | [
"MIT"
] | 8 | 2021-05-03T19:24:19.000Z | 2022-02-20T22:20:18.000Z | import numpy as np
from CMDataLoader import CMDataLoader
import config
import constants
import random
# my_palette = ["#264653","#9D1DC8","#287271", "#645DAC","#636EFA", "#ECA400","#FE484E","#8484E8", "#03b800" ,"#9251e1","#F4A261"]
# my_palette = ["#54478c","#9D1DC8","#2c699a","#048ba8","#0db39e","#16db93","#83e377",... | 67.345912 | 201 | 0.653063 | import plotly.express as px
import plotly.io as pio
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import pandas as pd
import numpy as np
from agents import *
from generators import *
from CMDataLoader import CMDataLoader
from Simulator import Simulator
from plotutils import update_layout... | 0 | 0 | 0 | 0 | 0 | 8,331 | 0 | 72 | 338 |
2bd8edda0f4c727b34799dc6c9399a18d23a45a7 | 903 | py | Python | src/testplates/impl/base/any_type.py | kprzybyla/testplates | 156a373d9a0818c6074ec8d622d6ef1f867eafd3 | [
"MIT"
] | null | null | null | src/testplates/impl/base/any_type.py | kprzybyla/testplates | 156a373d9a0818c6074ec8d622d6ef1f867eafd3 | [
"MIT"
] | null | null | null | src/testplates/impl/base/any_type.py | kprzybyla/testplates | 156a373d9a0818c6074ec8d622d6ef1f867eafd3 | [
"MIT"
] | null | null | null | __all__ = (
"extract_value",
"extract_errors",
)
from typing import (cast, Any, Type, Union, List)
from testplates.impl.value import (MISSING)
from testplates.impl.exceptions import (TestplatesError)
from .attrs import (TESTPLATES_ERRORS_ATTR, TESTPLATES_VALUE_ATTR)
def extract_value(
instance: Any,
)... | 15.842105 | 74 | 0.657807 | __all__ = (
"extract_value",
"extract_errors",
)
from typing import (
cast,
Any,
Type,
Union,
List,
)
from testplates.impl.value import (
MISSING,
)
from testplates.impl.exceptions import (
TestplatesError,
)
from .attrs import (
TESTPLATES_ERRORS_ATTR,
TESTPLATES_VALUE_A... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0 |
2d31ec77e7510699d2cc7549a1833146864202d2 | 7,699 | py | Python | savu/plugins/alignment/projection_shift.py | elainehoml/Savu | e4772704606f71d6803d832084e10faa585e7358 | [
"Apache-2.0"
] | 39 | 2015-03-30T14:03:42.000Z | 2022-03-16T16:50:33.000Z | savu/plugins/alignment/projection_shift.py | elainehoml/Savu | e4772704606f71d6803d832084e10faa585e7358 | [
"Apache-2.0"
] | 670 | 2015-02-11T11:08:09.000Z | 2022-03-21T09:27:57.000Z | savu/plugins/alignment/projection_shift.py | elainehoml/Savu | e4772704606f71d6803d832084e10faa585e7358 | [
"Apache-2.0"
] | 54 | 2015-02-13T14:09:52.000Z | 2022-01-24T13:57:09.000Z | # Copyright 2014 Diamond Light Source Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | 38.113861 | 81 | 0.630471 | # Copyright 2014 Diamond Light Source Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | 0 | 6,464 | 0 | 0 | 0 | 0 | 0 | 171 | 223 |
6599a738ef385fda4ba36a0d5ccca971daa06188 | 458 | py | Python | python_torch_test/test_index.py | wenhaopeter/read_pytorch_code | 491f989cd918cf08874dd4f671fb7f0142a0bc4f | [
"Intel",
"X11"
] | null | null | null | python_torch_test/test_index.py | wenhaopeter/read_pytorch_code | 491f989cd918cf08874dd4f671fb7f0142a0bc4f | [
"Intel",
"X11"
] | null | null | null | python_torch_test/test_index.py | wenhaopeter/read_pytorch_code | 491f989cd918cf08874dd4f671fb7f0142a0bc4f | [
"Intel",
"X11"
] | null | null | null | import torch
# cand_ids = torch.randint(0,10000,(10,))
# print(cand_ids.dtype)
# print(cand_ids.shape)
scores = torch.Tensor([[ 0, 1, 2],[ 3, 4, 5],[ 6, 7, 8],[ 9, 10, 11]])
a=scores[0:2]
# print(a)
# print(scores.dtype)
# print(scores.shape)
# scores[[1,2,3]]
# with torch.autograd.profiler.profile(record_shap... | 26.941176 | 90 | 0.672489 | import torch
# cand_ids = torch.randint(0,10000,(10,))
# print(cand_ids.dtype)
# print(cand_ids.shape)
scores = torch.Tensor([[ 0, 1, 2],[ 3, 4, 5],[ 6, 7, 8],[ 9, 10, 11]])
a=scores[0:2]
# print(a)
# print(scores.dtype)
# print(scores.shape)
# scores[[1,2,3]]
# with torch.autograd.profiler.profile(record_shap... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ff0aa4a18334faa1025b3b565c1234e541538556 | 4,378 | py | Python | tests/test_workstation.py | soundstripe/jamberry | e5f7400ca274ceb357ef7098a32068f1b21db324 | [
"MIT"
] | null | null | null | tests/test_workstation.py | soundstripe/jamberry | e5f7400ca274ceb357ef7098a32068f1b21db324 | [
"MIT"
] | null | null | null | tests/test_workstation.py | soundstripe/jamberry | e5f7400ca274ceb357ef7098a32068f1b21db324 | [
"MIT"
] | null | null | null |
# uncomment these lines to see requests
# import logging
# logging.basicConfig(level=logging.DEBUG)
| 29.38255 | 106 | 0.731841 | import csv
from decimal import Decimal
from itertools import islice
from datetime import datetime, timedelta
import pytest
from bs4 import BeautifulSoup
from src.jamberry.workstation import extract_shipping_address, extract_line_items, parse_order_row_soup, \
JamberryWorkstation
# uncomment these lines to see ... | 0 | 3,601 | 0 | 0 | 0 | 76 | 0 | 130 | 456 |
425fb837364f81528c19644a726599516ada187d | 336 | py | Python | address/migrations/0004_merge_20200328_0849.py | pedrovgp/cpm-django-address | f7c780aadb9a51df14677bd4681da073b68358cb | [
"BSD-3-Clause"
] | null | null | null | address/migrations/0004_merge_20200328_0849.py | pedrovgp/cpm-django-address | f7c780aadb9a51df14677bd4681da073b68358cb | [
"BSD-3-Clause"
] | null | null | null | address/migrations/0004_merge_20200328_0849.py | pedrovgp/cpm-django-address | f7c780aadb9a51df14677bd4681da073b68358cb | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2020-03-28 11:49
from __future__ import unicode_literals
| 19.764706 | 47 | 0.66369 | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2020-03-28 11:49
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('address', '0003_auto_20170718_1615'),
('address', '0002_auto_20160213_1726'),
]
opera... | 0 | 0 | 0 | 167 | 0 | 0 | 0 | 11 | 46 |
1577d38738d1df21a60bdf096aa6ca9a02c9b4ef | 2,391 | py | Python | coref/clustering_utils.py | AndreFCruz/coref-web-platform | 845fd5461aad19a0f221077dbfbfd1d01766f0d6 | [
"MIT"
] | 9 | 2018-09-18T14:34:57.000Z | 2022-01-28T12:34:50.000Z | coref/clustering_utils.py | AndreFCruz/coref-web-platform | 845fd5461aad19a0f221077dbfbfd1d01766f0d6 | [
"MIT"
] | null | null | null | coref/clustering_utils.py | AndreFCruz/coref-web-platform | 845fd5461aad19a0f221077dbfbfd1d01766f0d6 | [
"MIT"
] | null | null | null | """
clustering_utils.py: utilitary functions for the clustering.py module.
"""
import numpy as np
from .utils import find_in_sequence
def cluster_labels_to_entity_clusters(cluster_labels):
"""
@cluster_labels is the second return from the affinity_matrix computation,
and cluster_labels[mention_idx] = m... | 30.653846 | 94 | 0.662066 | """
clustering_utils.py: utilitary functions for the clustering.py module.
"""
import numpy as np
from enum import IntEnum
from .utils import find_in_sequence
class Link(IntEnum):
"""
Represents state of coreferring links.
Must be negative integers to not interfere with the clustering process.
"""
... | 0 | 0 | 0 | 184 | 0 | 0 | 0 | 3 | 45 |
09f68ac9516db807bd112b0783e36067ee23def6 | 373 | py | Python | Algorithms/Root Algorithms/hash.py | Ahmad-Fahad/Python | 5a5f8f3395f7085947430b8309f6af70b2e25a77 | [
"Apache-2.0"
] | null | null | null | Algorithms/Root Algorithms/hash.py | Ahmad-Fahad/Python | 5a5f8f3395f7085947430b8309f6af70b2e25a77 | [
"Apache-2.0"
] | null | null | null | Algorithms/Root Algorithms/hash.py | Ahmad-Fahad/Python | 5a5f8f3395f7085947430b8309f6af70b2e25a77 | [
"Apache-2.0"
] | null | null | null | intgr = 11
flt = 11.11
stng = "Eleven"
tple = (1,2)
lst = [1,2,3,4,5]
h_i = hash(intgr)
h_f = hash(flt)
h_s = hash(stng)
h_t = hash(tple)
#h_l = hash(lst)
print("hash of {} is {} ".format(intgr,h_i))
print("hash of {} is {} ".format(flt,h_f))
print("hash of {} is {} ".format(stng,h_s))
print("hash of {} is ... | 21.941176 | 44 | 0.581769 | intgr = 11
flt = 11.11
stng = "Eleven"
tple = (1,2)
lst = [1,2,3,4,5]
h_i = hash(intgr)
h_f = hash(flt)
h_s = hash(stng)
h_t = hash(tple)
#h_l = hash(lst)
print("hash of {} is {} ".format(intgr,h_i))
print("hash of {} is {} ".format(flt,h_f))
print("hash of {} is {} ".format(stng,h_s))
print("hash of {} is ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
43491ee16935885c90b9bd5ca040626a1f97ff54 | 876 | py | Python | examples/line_performance.py | brisvag/pygfx | 02e1f5ff92f50899ca990b712016e10d2914fcaf | [
"BSD-2-Clause"
] | 60 | 2020-06-20T09:25:37.000Z | 2022-03-31T23:06:30.000Z | examples/line_performance.py | brisvag/pygfx | 02e1f5ff92f50899ca990b712016e10d2914fcaf | [
"BSD-2-Clause"
] | 190 | 2020-06-17T09:11:43.000Z | 2022-03-31T17:42:19.000Z | examples/line_performance.py | brisvag/pygfx | 02e1f5ff92f50899ca990b712016e10d2914fcaf | [
"BSD-2-Clause"
] | 2 | 2021-03-04T08:19:14.000Z | 2022-01-02T16:31:15.000Z | """
Display a line depicting a noisy signal consisting of a lot of points.
"""
import numpy as np
import pygfx as gfx
from PySide6 import QtWidgets
from wgpu.gui.qt import WgpuCanvas
app = QtWidgets.QApplication([])
canvas = WgpuCanvas()
renderer = gfx.WgpuRenderer(canvas)
scene = gfx.Scene()
# todo: crank this ... | 23.052632 | 70 | 0.715753 | """
Display a line depicting a noisy signal consisting of a lot of points.
"""
import numpy as np
import pygfx as gfx
from PySide6 import QtWidgets
from wgpu.gui.qt import WgpuCanvas
app = QtWidgets.QApplication([])
canvas = WgpuCanvas()
renderer = gfx.WgpuRenderer(canvas)
scene = gfx.Scene()
# todo: crank this ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4c6963d54922e9ad237b55a1a506357629e1b468 | 5,866 | py | Python | tests/fit_param.py | harmslab/likelihood | 3b6864631548c6fe989d3729fc150c76eac8928e | [
"MIT"
] | 3 | 2020-04-30T21:55:49.000Z | 2020-04-30T22:14:42.000Z | tests/fit_param.py | harmslab/likelihood | 3b6864631548c6fe989d3729fc150c76eac8928e | [
"MIT"
] | null | null | null | tests/fit_param.py | harmslab/likelihood | 3b6864631548c6fe989d3729fc150c76eac8928e | [
"MIT"
] | 1 | 2020-04-30T21:55:08.000Z | 2020-04-30T21:55:08.000Z | __description__ = \
"""
Main class for holding fit parameters, including guesses, values, ranges, etc.
"""
__date__ = "2016-09-02"
__author__ = "Michael J. Harms"
| 24.647059 | 105 | 0.468121 | __description__ = \
"""
Main class for holding fit parameters, including guesses, values, ranges, etc.
"""
__date__ = "2016-09-02"
__author__ = "Michael J. Harms"
import copy
import numpy as np
class FitParameter:
"""
Class for storing and manipulating generic fit parameters.
"""
def __init__(self,na... | 0 | 3,360 | 0 | 2,288 | 0 | 0 | 0 | -13 | 68 |
bde9bf927b8b96816899007c7fd3f79cd619b67c | 12,907 | py | Python | gridworld/agents/buildings/five_zone_rom_env.py | NREL/PowerGridworld | 2f72ac5bb663092ca806c6fff9c7cf70f94fd775 | [
"BSD-3-Clause"
] | 24 | 2021-11-12T03:42:38.000Z | 2022-02-27T17:22:30.000Z | gridworld/agents/buildings/five_zone_rom_env.py | NREL/PowerGridworld | 2f72ac5bb663092ca806c6fff9c7cf70f94fd775 | [
"BSD-3-Clause"
] | 4 | 2021-11-11T03:27:58.000Z | 2021-11-15T23:12:05.000Z | gridworld/agents/buildings/five_zone_rom_env.py | NREL/PowerGridworld | 2f72ac5bb663092ca806c6fff9c7cf70f94fd775 | [
"BSD-3-Clause"
] | 2 | 2022-02-09T09:15:41.000Z | 2022-02-24T14:56:40.000Z | import os
import pickle
import re
from typing import Tuple
import pandas as pd
# Below are control variables' boundary.
MAX_FLOW_RATE = [2.2, 2.2, 2.2, 2.2, 3.2] # Max flow rate for each individual zone
MIN_FLOW_RATE = [.22, .22, .22, .22, .32] # Max flow rate for each individual zone
MAX_TOTAL_FLOW_RATE = 10.0 #... | 37.520349 | 108 | 0.643837 | from abc import abstractmethod
from collections import OrderedDict
import os
import pickle
import re
from typing import Tuple, Union
import pandas as pd
import numpy as np
import gym
from gridworld.log import logger
from gridworld import ComponentEnv
from gridworld.utils import to_scaled, to_raw, maybe_rescale_box_s... | 0 | 134 | 0 | 10,444 | 0 | 0 | 0 | 204 | 268 |
eb7c87060f871a6453a9831294ee566533778c5a | 1,512 | py | Python | external_apps/timezones/tests.py | davemerwin/blue-channel | 67a1a7fcc512574e6522aa57633f9d69c25c8906 | [
"BSD-3-Clause"
] | 4 | 2016-05-08T06:07:50.000Z | 2021-11-21T19:41:40.000Z | apps/external_apps/timezones/tests.py | indro/t2c | 56482ad4aed150f29353e054db2c97b567243bf8 | [
"MIT"
] | null | null | null | apps/external_apps/timezones/tests.py | indro/t2c | 56482ad4aed150f29353e054db2c97b567243bf8 | [
"MIT"
] | 3 | 2017-07-09T02:14:54.000Z | 2021-07-13T19:16:59.000Z |
__test__ = {"API_TESTS": r"""
>>> from django.conf import settings
>>> ORIGINAL_TIME_ZONE = settings.TIME_ZONE
>>> settings.TIME_ZONE = "UTC"
>>> from timezones import forms
# the default case where no timezone is given explicitly.
# uses settings.TIME_ZONE.
>>> f = forms.LocalizedDateTimeField()
>>> f.clean("2008-0... | 32.869565 | 99 | 0.681217 |
__test__ = {"API_TESTS": r"""
>>> from django.conf import settings
>>> ORIGINAL_TIME_ZONE = settings.TIME_ZONE
>>> settings.TIME_ZONE = "UTC"
>>> from timezones import forms
# the default case where no timezone is given explicitly.
# uses settings.TIME_ZONE.
>>> f = forms.LocalizedDateTimeField()
>>> f.clean("2008-0... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7daec3f052dbf49bcff51f38ad65316565f865b2 | 2,773 | py | Python | app.py | ghanmi-hamza/Crunshbase_Scraper | 6255693690d33d7dabce3695affa8ff4668eeef2 | [
"Apache-2.0"
] | null | null | null | app.py | ghanmi-hamza/Crunshbase_Scraper | 6255693690d33d7dabce3695affa8ff4668eeef2 | [
"Apache-2.0"
] | null | null | null | app.py | ghanmi-hamza/Crunshbase_Scraper | 6255693690d33d7dabce3695affa8ff4668eeef2 | [
"Apache-2.0"
] | null | null | null | from flask import Flask
app= Flask(__name__)
if __name__=='__main__':
app.run(debug=True) | 31.511364 | 91 | 0.569419 | from functions import Profile
from mongodb import MongoDb
from flask import Flask, render_template, request, redirect
app= Flask(__name__)
@app.route('/')
def start():
return(render_template('view.html'))
@app.route('/',methods=['POST'])
def index():
if request.method == 'POST':
startup_list = r... | 0 | 2,534 | 0 | 0 | 0 | 0 | 0 | 50 | 90 |
b5f856a2986cde9d382ce5d575f5d958c091b8ab | 948 | py | Python | src/gui/main_app.py | AndruePeters/fire_stream | 8e1a89d4fe02500fbe202d6a0212ac7eaab32e00 | [
"Apache-2.0"
] | null | null | null | src/gui/main_app.py | AndruePeters/fire_stream | 8e1a89d4fe02500fbe202d6a0212ac7eaab32e00 | [
"Apache-2.0"
] | null | null | null | src/gui/main_app.py | AndruePeters/fire_stream | 8e1a89d4fe02500fbe202d6a0212ac7eaab32e00 | [
"Apache-2.0"
] | null | null | null |
### Represents the main application, which is the combination of multiple frames | 39.5 | 99 | 0.732068 | from tkinter import ttk
import tkinter as tk
import tkinter.messagebox
from gui.menu_bar import MenuBar
from gui.stream_frame import StreamFrame
from config_file.fire_stream import ConfigFile
### Represents the main application, which is the combination of multiple frames
class MainApplication(ttk.Frame):
def __... | 0 | 0 | 0 | 651 | 0 | 0 | 0 | 60 | 156 |
e5257525dd50663af6d42d8fcc65da7cae7adc9b | 9,064 | py | Python | clu/compilation/compiledb.py | fish2000/CLU | 80bc2df5f001b5639d79ba979e19ec77a9931425 | [
"BSD-3-Clause"
] | 1 | 2019-07-02T08:17:59.000Z | 2019-07-02T08:17:59.000Z | clu/compilation/compiledb.py | fish2000/CLU | 80bc2df5f001b5639d79ba979e19ec77a9931425 | [
"BSD-3-Clause"
] | 13 | 2019-12-17T02:28:30.000Z | 2021-11-17T03:46:10.000Z | clu/compilation/compiledb.py | fish2000/CLU | 80bc2df5f001b5639d79ba979e19ec77a9931425 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import print_function
import abc
# import clu.abstract
import sys
abstract = abc.abstractmethod
from clu.constants.exceptions import CDBError
# from clu.predicates import tuplize
from clu.exporting import Exporter
exporter = Exporter(path=__file__)
export = exporter.decorator(... | 29.718033 | 83 | 0.553288 | # -*- coding: utf-8 -*-
from __future__ import print_function
import abc
# import clu.abstract
import collections.abc
import contextlib
import json
import sys, os
abstract = abc.abstractmethod
from clu.constants import consts
from clu.constants.exceptions import CDBError
from clu.fs.abc import BaseFSName
from clu.fs... | 78 | 7,881 | 0 | 0 | 0 | 321 | 0 | 71 | 269 |
a32c7f51dddaf8600bf3abf4629e346738287384 | 5,067 | py | Python | c-kernel/test/test_cleaners.py | Song655/arlo | cee1613d4a2b2e1263da9d5b4b9930eef569509c | [
"Apache-2.0"
] | 1 | 2019-10-18T13:11:01.000Z | 2019-10-18T13:11:01.000Z | c-kernel/test/test_cleaners.py | Song655/arlo | cee1613d4a2b2e1263da9d5b4b9930eef569509c | [
"Apache-2.0"
] | 1 | 2019-01-28T23:07:32.000Z | 2019-01-28T23:07:32.000Z | c-kernel/test/test_cleaners.py | Song655/arlo | cee1613d4a2b2e1263da9d5b4b9930eef569509c | [
"Apache-2.0"
] | 5 | 2018-03-27T03:30:34.000Z | 2019-10-18T13:05:37.000Z | import sys
sys.path.append('../../arl-python')
import numpy as np
import argparse
if __name__ == '__main__':
np.random.seed(0)
parser = argparse.ArgumentParser()
parser.add_argument('--data_dir', type=str, default='./data')
parser.add_argument('--niter', type=int, default=0)
parser.add_argume... | 36.453237 | 110 | 0.678705 | import os
import sys
sys.path.append('../../arl-python')
import numpy as np
import time
import argparse
from arl.image.cleaners import *
from utils import *
def msmfsclean_simplify(dirty, psf, window, gain, thresh, niter, scales, fracthresh, findpeak='CASA'):
assert 0.0 < gain < 2.0
assert niter > 0
as... | 0 | 0 | 0 | 0 | 0 | 4,053 | 0 | -13 | 135 |
cd3da064f9bd501772402261c8f184e8c014f863 | 143 | py | Python | 02_sequences/0206_augmented_assignment/020601_list/__main__.py | forseti/py-workout-01 | 9ebb36748ec7d4751b2c81086134df320c0f58ed | [
"Apache-2.0"
] | null | null | null | 02_sequences/0206_augmented_assignment/020601_list/__main__.py | forseti/py-workout-01 | 9ebb36748ec7d4751b2c81086134df320c0f58ed | [
"Apache-2.0"
] | null | null | null | 02_sequences/0206_augmented_assignment/020601_list/__main__.py | forseti/py-workout-01 | 9ebb36748ec7d4751b2c81086134df320c0f58ed | [
"Apache-2.0"
] | null | null | null | l = [1, 2, 3]
id1 = id(l)
print(f"id1: {id1}")
l *= 2
id2 = id(l)
print(f"id2: {id2}")
assert id1 == id2
print(f"id1 == id2: {id1 == id2}")
| 11.916667 | 34 | 0.503497 | l = [1, 2, 3]
id1 = id(l)
print(f"id1: {id1}")
l *= 2
id2 = id(l)
print(f"id2: {id2}")
assert id1 == id2
print(f"id1 == id2: {id1 == id2}")
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
81ab10c9e68eaa61ece5a776c79bd7fc8186ea7b | 4,691 | py | Python | tests/word_distance.py | nv-d/open-tamil | 0fcb1cece5ffd6263210db987bede09566353e80 | [
"MIT"
] | 2 | 2021-07-17T02:52:38.000Z | 2021-07-17T02:52:52.000Z | tests/word_distance.py | nv-d/open-tamil | 0fcb1cece5ffd6263210db987bede09566353e80 | [
"MIT"
] | null | null | null | tests/word_distance.py | nv-d/open-tamil | 0fcb1cece5ffd6263210db987bede09566353e80 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# (C) 2015 Muthiah Annamalai
#
# This file is part of 'open-tamil' package tests
#
# setup the paths
from __future__ import print_function
if __name__ == "__main__":
unittest.main()
| 30.070513 | 88 | 0.484971 | # -*- coding: utf-8 -*-
# (C) 2015 Muthiah Annamalai
#
# This file is part of 'open-tamil' package tests
#
# setup the paths
from __future__ import print_function
from opentamiltests import *
class WordsSimilarityLevenshtein(unittest.TestCase):
def test_Levenshtein_distance(self):
values = [
... | 906 | 0 | 0 | 4,051 | 0 | 0 | 0 | 7 | 114 |
4e012ce81d73ddb0a61c59fd864ed7590f969a8d | 99 | py | Python | blog/publications/admin.py | Thierryvil/blog-rest-django3 | 1c7a224d531cea86812142d4d488d99431aa05e9 | [
"MIT"
] | null | null | null | blog/publications/admin.py | Thierryvil/blog-rest-django3 | 1c7a224d531cea86812142d4d488d99431aa05e9 | [
"MIT"
] | null | null | null | blog/publications/admin.py | Thierryvil/blog-rest-django3 | 1c7a224d531cea86812142d4d488d99431aa05e9 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Publication
admin.site.register(Publication)
| 19.8 | 32 | 0.838384 | from django.contrib import admin
from .models import Publication
admin.site.register(Publication)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9647183d77c8685b21250b167a7a0bb8f6a2de37 | 265 | py | Python | mopidy_async_client/__init__.py | SvineruS/mopidy-json-client | b1fe6eea02f9dbf9fe0c9d1d087421184fd2e0c9 | [
"Apache-2.0"
] | null | null | null | mopidy_async_client/__init__.py | SvineruS/mopidy-json-client | b1fe6eea02f9dbf9fe0c9d1d087421184fd2e0c9 | [
"Apache-2.0"
] | null | null | null | mopidy_async_client/__init__.py | SvineruS/mopidy-json-client | b1fe6eea02f9dbf9fe0c9d1d087421184fd2e0c9 | [
"Apache-2.0"
] | null | null | null | """Async Mopidy Client via JSON/RPC Websocket interface"""
# Fork of https://github.com/ismailof/mopidy-json-client by ismailof
__author__ = 'svinerus (svinerus@gmail.com)'
__version__ = '0.6.4'
from .client import MopidyClient
__all__ = [
'MopidyClient',
]
| 22.083333 | 68 | 0.732075 | """Async Mopidy Client via JSON/RPC Websocket interface"""
# Fork of https://github.com/ismailof/mopidy-json-client by ismailof
__author__ = 'svinerus (svinerus@gmail.com)'
__version__ = '0.6.4'
from .client import MopidyClient
__all__ = [
'MopidyClient',
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4fa0c6f8f2e70c57688b182c75fe8f7d7e0e1e4e | 149 | py | Python | dhost/dapps/utils.py | dhost-project/dhost | ca6a4a76a737174b24165e20edeb1d1019a9424b | [
"MIT"
] | null | null | null | dhost/dapps/utils.py | dhost-project/dhost | ca6a4a76a737174b24165e20edeb1d1019a9424b | [
"MIT"
] | 67 | 2021-07-06T11:50:25.000Z | 2021-10-14T13:45:51.000Z | dhost/dapps/utils.py | dhost-project/dhost | ca6a4a76a737174b24165e20edeb1d1019a9424b | [
"MIT"
] | null | null | null | def get_dapp_type(dapp):
"""Return the available dapp implementation."""
if hasattr(dapp, "ipfsdapp"):
return "ipfs"
return None
| 24.833333 | 51 | 0.651007 | def get_dapp_type(dapp):
"""Return the available dapp implementation."""
if hasattr(dapp, "ipfsdapp"):
return "ipfs"
return None
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7074a2be32b9d2c703f8ca0dfd6cef5ce9b6dabc | 15,067 | py | Python | kraken_report.py | mpieva/nuclear_sediment_pipeline | 3570ad8c217d8f54f8b1c888d1f4ce5d29388742 | [
"MIT"
] | 1 | 2021-04-16T17:18:14.000Z | 2021-04-16T17:18:14.000Z | kraken_report.py | mpieva/nuclear_sediment_pipeline | 3570ad8c217d8f54f8b1c888d1f4ce5d29388742 | [
"MIT"
] | null | null | null | kraken_report.py | mpieva/nuclear_sediment_pipeline | 3570ad8c217d8f54f8b1c888d1f4ce5d29388742 | [
"MIT"
] | null | null | null | """Parse a kraken output file and generate a report and possibly extract reads for selected clades. (Adapted from original kraken-report.pl)
"""
import sys
import gzip
from Bio import SeqIO
from collections import defaultdict
import os
import json
#grep 'scientific name' names.dmp |cut -d'|' -f 1,2 |gzip -c >names_tri... | 44.842262 | 172 | 0.629521 | """Parse a kraken output file and generate a report and possibly extract reads for selected clades. (Adapted from original kraken-report.pl)
"""
import sys
import gzip
from csv import reader
from Bio import SeqIO
from pysam import AlignmentFile
from collections import defaultdict
import argparse
from pathlib import Pa... | 0 | 35 | 0 | 0 | 0 | 9,420 | 0 | 4 | 274 |
337618b4d7d2e40d90ad9aa116afb1da1ebe6553 | 1,808 | py | Python | pythonforandroid/recipes/lxml/__init__.py | gruns/python-for-android | 1bee8a821d57c39492cf633112673bf6ce0be8db | [
"MIT"
] | 1 | 2022-01-26T18:42:36.000Z | 2022-01-26T18:42:36.000Z | pythonforandroid/recipes/lxml/__init__.py | gruns/python-for-android | 1bee8a821d57c39492cf633112673bf6ce0be8db | [
"MIT"
] | null | null | null | pythonforandroid/recipes/lxml/__init__.py | gruns/python-for-android | 1bee8a821d57c39492cf633112673bf6ce0be8db | [
"MIT"
] | 1 | 2020-05-24T16:28:13.000Z | 2020-05-24T16:28:13.000Z | from pythonforandroid.toolchain import shprint, current_directory
recipe = LXMLRecipe()
| 48.864865 | 162 | 0.714049 | from pythonforandroid.toolchain import Recipe, shprint, shutil, current_directory
from pythonforandroid.toolchain import CompiledComponentsPythonRecipe
from pythonforandroid.util import current_directory, ensure_dir
from pythonforandroid.logger import debug, shprint, info
from os.path import exists, join, dirname
impor... | 0 | 0 | 0 | 1,425 | 0 | 0 | 0 | 139 | 155 |
6718bf877b76b460a1a15a78d00cdea02e635882 | 12,871 | py | Python | gerrit-report2.py | rfrandse/test | e2e5cb46fecff1be16b3089dd22a8cb6e99f3ac9 | [
"Unlicense"
] | null | null | null | gerrit-report2.py | rfrandse/test | e2e5cb46fecff1be16b3089dd22a8cb6e99f3ac9 | [
"Unlicense"
] | null | null | null | gerrit-report2.py | rfrandse/test | e2e5cb46fecff1be16b3089dd22a8cb6e99f3ac9 | [
"Unlicense"
] | null | null | null | #!/usr/bin/python
import argparse
import config
from slacker import Slacker
slack = Slacker(config.token)
option_age = ""
option_owner = None
option_protocol = 'slack'
option_ssm = None
option_stat = None
query_cache = {}
HOST="openbmc.gerrit"
username_map = {
'irc': {
'jenkins-openbmc': "Jenkins... | 31.316302 | 99 | 0.569963 | #!/usr/bin/python
import argparse
import subprocess
import json
import re
import config
import collections
from datetime import datetime, timedelta
import time
from pprint import pprint
from slacker import Slacker
slack = Slacker(config.token)
option_age = ""
option_owner = None
option_protocol = 'slack'
option_ss... | 0 | 0 | 0 | 0 | 0 | 8,870 | 0 | -16 | 361 |
c1a33fc9fe9a26dbd52187a7e35bad49770d75e5 | 9,457 | py | Python | pycat/base/event/window_event_manager.py | cmorace/pycat | 7abc53f90a03b4961c10003eaca2c01efec9e4d2 | [
"MIT"
] | null | null | null | pycat/base/event/window_event_manager.py | cmorace/pycat | 7abc53f90a03b4961c10003eaca2c01efec9e4d2 | [
"MIT"
] | null | null | null | pycat/base/event/window_event_manager.py | cmorace/pycat | 7abc53f90a03b4961c10003eaca2c01efec9e4d2 | [
"MIT"
] | null | null | null | """The window_event_manager module implements the WindowEventManager class."""
| 40.072034 | 78 | 0.639103 | """The window_event_manager module implements the WindowEventManager class."""
from typing import Callable, Dict, List, Set, Union
from pyglet.window import Window as PygletWindow
from pycat.base.event.key_event import KeyEvent
from pycat.base.event.mouse_event import MouseEvent
from pycat.geometry.point import Poin... | 0 | 921 | 0 | 8,010 | 0 | 0 | 0 | 244 | 202 |
40bf95dfded92821b08f049465563ccb6b9628be | 949 | py | Python | itrack/urls.py | AmlHanfy/iTrack-Project | 6afe64ff3bd78c6c9dc93d68c0ed52708a8dcb1a | [
"Apache-2.0"
] | null | null | null | itrack/urls.py | AmlHanfy/iTrack-Project | 6afe64ff3bd78c6c9dc93d68c0ed52708a8dcb1a | [
"Apache-2.0"
] | null | null | null | itrack/urls.py | AmlHanfy/iTrack-Project | 6afe64ff3bd78c6c9dc93d68c0ed52708a8dcb1a | [
"Apache-2.0"
] | 3 | 2018-01-23T19:08:22.000Z | 2018-09-25T06:47:24.000Z | '''
this module contains all the urls for the whole project
'''
from django.contrib import admin
from django.urls import path, include
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from django.conf import settings
from django.conf.urls.static import static
# from django.views.generic imp... | 36.5 | 77 | 0.72392 | '''
this module contains all the urls for the whole project
'''
from django.contrib import admin
from django.urls import path,include
from article import views as articleViews
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from django.conf import settings
from django.conf.urls.static impo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 23 |
962ccfa4e838d3a0b196a2a719fdce3234b0b6c1 | 764 | py | Python | stringsetup.py | TeamDragons/Dragons-Userbot | e40584f4dc898b785523adea4519ffb412dc92c4 | [
"MIT"
] | 3 | 2021-08-11T08:33:39.000Z | 2022-01-17T00:09:11.000Z | stringsetup.py | sophiashirashaki/Dragons-Userbot | 2255c18428e488a267eaec1ec8c081fabcde167a | [
"MIT"
] | null | null | null | stringsetup.py | sophiashirashaki/Dragons-Userbot | 2255c18428e488a267eaec1ec8c081fabcde167a | [
"MIT"
] | 6 | 2021-08-14T08:20:41.000Z | 2022-03-20T02:31:45.000Z | #!/usr/bin/env python3
# (c) https://t.me/TelethonChat/37677
# This Source Code Form is subject to the terms of the GNU
# MIT TeamDragons If a copy of the developer was not distributed with this
# file, You can obtain one at https://www.gnu.org/licenses/MIT/TeamDragons
from telethon.sessions import StringSession
from ... | 34.727273 | 74 | 0.755236 | #!/usr/bin/env python3
# (c) https://t.me/TelethonChat/37677
# This Source Code Form is subject to the terms of the GNU
# MIT TeamDragons If a copy of the developer was not distributed with this
# file, You can obtain one at https://www.gnu.org/licenses/MIT/TeamDragons
from telethon.sessions import StringSession
from ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8c0aba7c3f75f22e54bc31dcc941aa754266bf3a | 1,650 | py | Python | permutation.py | pranaylobo/Team-Kalm-CP | daa967d84ccd162efc0b7f19448daa01f745e7e2 | [
"Apache-2.0"
] | null | null | null | permutation.py | pranaylobo/Team-Kalm-CP | daa967d84ccd162efc0b7f19448daa01f745e7e2 | [
"Apache-2.0"
] | 1 | 2021-02-15T16:02:47.000Z | 2021-02-15T16:02:47.000Z | permutation.py | pranaylobo/Team-Kalm-CP | daa967d84ccd162efc0b7f19448daa01f745e7e2 | [
"Apache-2.0"
] | 1 | 2021-02-16T04:53:47.000Z | 2021-02-16T04:53:47.000Z |
node=[1,2,3]
key=0
current_level={}
node_store=[]
main(node,key,current_level,node_store)
| 21.710526 | 118 | 0.565455 |
def branches(node,current_level,key,node_store):
temp_current_level = current_level.copy()
# print(node_store)
for index,num in enumerate(node):
current_root = temp_current_level[num].copy()
current_leafnode = current_root[0].get(num).copy()
# print(current_leaf... | 0 | 0 | 0 | 0 | 0 | 1,501 | 0 | 0 | 46 |
943f941b685bb98bbee64264564ff9847ddca2c1 | 8,005 | py | Python | scripts/alvar_marker_to_baxter_picking_pose.py | birlrobotics/birl_kitting_experiment | 75cf42b6fd187b12e99b0e916c73058f429a556c | [
"BSD-3-Clause"
] | 2 | 2019-06-03T03:33:50.000Z | 2019-12-30T05:43:34.000Z | scripts/alvar_marker_to_baxter_picking_pose.py | birlrobotics/birl_kitting_experiment | 75cf42b6fd187b12e99b0e916c73058f429a556c | [
"BSD-3-Clause"
] | null | null | null | scripts/alvar_marker_to_baxter_picking_pose.py | birlrobotics/birl_kitting_experiment | 75cf42b6fd187b12e99b0e916c73058f429a556c | [
"BSD-3-Clause"
] | 1 | 2019-12-30T05:43:35.000Z | 2019-12-30T05:43:35.000Z | #!/usr/bin/env python
import rospy
from ar_track_alvar_msgs.msg import AlvarMarkers
import tf
from tf.transformations import (translation_matrix, quaternion_matrix, translation_from_matrix, quaternion_from_matrix)
import threading
import copy
import numpy
comfortable_pick_frame = numpy.matrix([[0.9270661704094123, 0.3... | 35.577778 | 283 | 0.566396 | #!/usr/bin/env python
import rospy
from ar_track_alvar_msgs.msg import AlvarMarkers
import tf
from tf.transformations import (
translation_matrix,
quaternion_matrix,
translation_from_matrix,
quaternion_from_matrix,
)
import threading
import copy
import numpy
import ipdb
comfortable_pick_frame = numpy.m... | 0 | 0 | 0 | 0 | 0 | 967 | 0 | 9 | 91 |
38f856dac8ab642dc811a76eee8077f057643a7b | 1,600 | py | Python | nova/api/openstack/compute/schemas/hypervisors.py | teresa-ho/stx-nova | 1f82323439da2449edbbaed2fe1c8414a550c86f | [
"Apache-2.0"
] | null | null | null | nova/api/openstack/compute/schemas/hypervisors.py | teresa-ho/stx-nova | 1f82323439da2449edbbaed2fe1c8414a550c86f | [
"Apache-2.0"
] | 2 | 2015-02-03T06:25:24.000Z | 2015-02-04T10:10:36.000Z | nova/api/openstack/compute/schemas/hypervisors.py | teresa-ho/stx-nova | 1f82323439da2449edbbaed2fe1c8414a550c86f | [
"Apache-2.0"
] | 7 | 2015-01-20T10:30:08.000Z | 2020-02-05T10:29:05.000Z | # Copyright 2017 Huawei Technologies Co.,LTD.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 36.363636 | 78 | 0.70625 | # Copyright 2017 Huawei Technologies Co.,LTD.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2501f6a15fea174f7089a921e75d9e41e9a71af7 | 6,098 | py | Python | tests/graphs/synthetic/scenarios.py | pedrofreitascampospro/locintel | eb9c56cdc308660c31d90abe9fe62bd3634ba273 | [
"MIT"
] | null | null | null | tests/graphs/synthetic/scenarios.py | pedrofreitascampospro/locintel | eb9c56cdc308660c31d90abe9fe62bd3634ba273 | [
"MIT"
] | null | null | null | tests/graphs/synthetic/scenarios.py | pedrofreitascampospro/locintel | eb9c56cdc308660c31d90abe9fe62bd3634ba273 | [
"MIT"
] | null | null | null | """
Scenarios for ODD generation/restriction of a base graph.
Steps to create scenarios:
1. Define your reference graph:
Add/choose graph fixture
-> This is your base/reference graph, analogous to our OSM base map
2. Define your final odd graph (expected output)
Restrict base graph using/adding `restricti... | 34.258427 | 117 | 0.63529 | """
Scenarios for ODD generation/restriction of a base graph.
Steps to create scenarios:
1. Define your reference graph:
Add/choose graph fixture
-> This is your base/reference graph, analogous to our OSM base map
2. Define your final odd graph (expected output)
Restrict base graph using/adding `restricti... | 0 | 1,069 | 0 | 612 | 931 | 1,070 | 0 | 150 | 319 |
121b3fe06c1efda9c51df286b247a6fc0e9256d0 | 2,632 | py | Python | sprd/vowifi/tmtc_ut/sdkut.py | deevarvar/myLab | 7a5019f5f7fc11e173d350e6e2a7d2c80504782d | [
"MIT"
] | null | null | null | sprd/vowifi/tmtc_ut/sdkut.py | deevarvar/myLab | 7a5019f5f7fc11e173d350e6e2a7d2c80504782d | [
"MIT"
] | null | null | null | sprd/vowifi/tmtc_ut/sdkut.py | deevarvar/myLab | 7a5019f5f7fc11e173d350e6e2a7d2c80504782d | [
"MIT"
] | 3 | 2016-10-08T15:01:49.000Z | 2018-05-24T03:14:24.000Z | #-*- coding=utf-8 -*-
#author: zhihua.ye@spreadtrum.com
if __name__ == '__main__':
sdk = Sdkut(casedir="./cases", bindir='./bin')
sdk.run()
sdk.dumpreport() | 37.6 | 124 | 0.545593 | #-*- coding=utf-8 -*-
#author: zhihua.ye@spreadtrum.com
import os
from tmtc_ut import *
from time import gmtime, strftime
from lib.report import *
from lib.htmlgenerator import *
from lib.jinjagenerator import *
class Sdkut(object):
def __init__(self, casedir='', bindir=''):
self.casedir = case... | 0 | 0 | 0 | 2,270 | 0 | 0 | 0 | 24 | 163 |
e6f542beb92d58a239b6422082d785c7575ae86a | 1,136 | py | Python | TrEEProfiler/rrg.py | maxdy/BioTools | 0240ed203ef64e2cfd637a0fd508096151df7482 | [
"MIT"
] | null | null | null | TrEEProfiler/rrg.py | maxdy/BioTools | 0240ed203ef64e2cfd637a0fd508096151df7482 | [
"MIT"
] | null | null | null | TrEEProfiler/rrg.py | maxdy/BioTools | 0240ed203ef64e2cfd637a0fd508096151df7482 | [
"MIT"
] | null | null | null | import csv
import os
lnr_genomes_aa = [] # aa = assembly_accession
with open("bacteria_as_comref_genomes_wo_ecoli",'r') as f:
next(f) # skip headings
reader=csv.reader(f,delimiter='\t')
tmp_size = None
tmp_aa = None
tmp_s_id = None
for line in reader:
filepath = line[20].replace("/cygdrive/h/","H:/")
print... | 25.818182 | 59 | 0.698063 | import csv
import os
lnr_genomes_aa = [] # aa = assembly_accession
with open("bacteria_as_comref_genomes_wo_ecoli",'r') as f:
next(f) # skip headings
reader=csv.reader(f,delimiter='\t')
tmp_size = None
tmp_aa = None
tmp_s_id = None
for line in reader:
filepath = line[20].replace("/cygdrive/h/","H:/")
print... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2857cbb68ef20cf62c1c0b75128c6e3e01a4ca7b | 286 | py | Python | Python/decorators/cache.py | Suraj-Rajesh/code | 3d554c4d1d5cf4bd9d084b8034641c1f6c2a47c9 | [
"MIT"
] | null | null | null | Python/decorators/cache.py | Suraj-Rajesh/code | 3d554c4d1d5cf4bd9d084b8034641c1f6c2a47c9 | [
"MIT"
] | null | null | null | Python/decorators/cache.py | Suraj-Rajesh/code | 3d554c4d1d5cf4bd9d084b8034641c1f6c2a47c9 | [
"MIT"
] | null | null | null |
fn(1)
fn(1)
fn(3)
| 13.619048 | 34 | 0.524476 | from functools import wraps
def cache(func):
memo = {}
@wraps(func)
def wrapper(x):
print 'memo: ' + str(memo)
if x not in memo:
memo[x] = func(x)
return memo[x]
return wrapper
@cache
def fn(x):
return x + 1
fn(1)
fn(1)
fn(3)
| 0 | 138 | 0 | 0 | 0 | 54 | 0 | 6 | 68 |
839058cc75182dfc3372449c4c1ed12c0cb41c43 | 2,805 | py | Python | crazyflie-lib-python/sys_test/swarm_test_rig/test_logging.py | manikamakam/swarm | 3d3f4692f1969e0973fa8929660a8d0da53cafa7 | [
"MIT"
] | null | null | null | crazyflie-lib-python/sys_test/swarm_test_rig/test_logging.py | manikamakam/swarm | 3d3f4692f1969e0973fa8929660a8d0da53cafa7 | [
"MIT"
] | null | null | null | crazyflie-lib-python/sys_test/swarm_test_rig/test_logging.py | manikamakam/swarm | 3d3f4692f1969e0973fa8929660a8d0da53cafa7 | [
"MIT"
] | 1 | 2019-12-02T01:00:18.000Z | 2019-12-02T01:00:18.000Z | # -*- coding: utf-8 -*-
#
# || ____ _ __
# +------+ / __ )(_) /_______________ _____ ___
# | 0xBC | / __ / / __/ ___/ ___/ __ `/_ / / _ \
# +------+ / /_/ / / /_/ /__/ / / /_/ / / /_/ __/
# || || /_____/_/\__/\___/_/ \__,_/ /___/\___/
#
# Copyright (C) 2019 Bitcraze AB
#
# Th... | 37.905405 | 79 | 0.688057 | # -*- coding: utf-8 -*-
#
# || ____ _ __
# +------+ / __ )(_) /_______________ _____ ___
# | 0xBC | / __ / / __/ ___/ ___/ __ `/_ / / _ \
# +------+ / /_/ / / /_/ /__/ / / /_/ / / /_/ __/
# || || /_____/_/\__/\___/_/ \__,_/ /___/\___/
#
# Copyright (C) 2019 Bitcraze AB
#
# Th... | 0 | 0 | 0 | 1,378 | 0 | 0 | 0 | 171 | 222 |
3b39c3840d44cbefc3a21780e9618b88653a856d | 458 | py | Python | frontend_progress_bar/new_uploads/upload.py | simonfong6/micro-projects | 5be195ea72ce117df6da041446f11c18e102b5df | [
"MIT"
] | null | null | null | frontend_progress_bar/new_uploads/upload.py | simonfong6/micro-projects | 5be195ea72ce117df6da041446f11c18e102b5df | [
"MIT"
] | null | null | null | frontend_progress_bar/new_uploads/upload.py | simonfong6/micro-projects | 5be195ea72ce117df6da041446f11c18e102b5df | [
"MIT"
] | null | null | null | from flask import Flask
app = Flask(__name__)
if __name__ == '__main__':
app.run(debug=True)
| 20.818182 | 62 | 0.639738 | from flask import Flask, render_template, request
app = Flask(__name__)
@app.route('/upload', methods=['GET', 'POST'])
def upload():
if request.method == 'POST' and 'media' in request.files:
return 100
return render_template('upload.html')
@app.route('/upload/progress')
def progress():
... | 0 | 251 | 0 | 0 | 0 | 0 | 0 | 26 | 79 |
fe9e6db54705ed4e0c750286b5324cb8fe1fc623 | 4,167 | py | Python | GMOS_visualization.py | abostroem/gemini_pipeline | 8ac0c6359f643b9dbc18dcbba34ba73d1750434f | [
"BSD-3-Clause"
] | null | null | null | GMOS_visualization.py | abostroem/gemini_pipeline | 8ac0c6359f643b9dbc18dcbba34ba73d1750434f | [
"BSD-3-Clause"
] | null | null | null | GMOS_visualization.py | abostroem/gemini_pipeline | 8ac0c6359f643b9dbc18dcbba34ba73d1750434f | [
"BSD-3-Clause"
] | null | null | null | '''
Visualize steps of the calibration process to ensure everything went according to plan
'''
overscan_size = 32 #pixels
unusable_bottom = 48//2 #pixels
| 32.811024 | 90 | 0.596592 | '''
Visualize steps of the calibration process to ensure everything went according to plan
'''
from matplotlib import pyplot as plt
from astropy.io import fits
from visualization import zscale #https://github.com/abostroem/utilities
overscan_size = 32 #pixels
unusable_bottom = 48//2 #pixels
def visualize_bias(biasfi... | 0 | 0 | 0 | 0 | 0 | 3,764 | 0 | 32 | 199 |
3edf5e6a9773f933621f46766289036db8eba0ff | 246 | gyp | Python | binding.gyp | SSTIA/fun-judge | 010a5413642e1f28cf31ae35f2a605c0a836e859 | [
"MIT"
] | null | null | null | binding.gyp | SSTIA/fun-judge | 010a5413642e1f28cf31ae35f2a605c0a836e859 | [
"MIT"
] | null | null | null | binding.gyp | SSTIA/fun-judge | 010a5413642e1f28cf31ae35f2a605c0a836e859 | [
"MIT"
] | 1 | 2018-12-06T06:59:56.000Z | 2018-12-06T06:59:56.000Z | {
"targets": [
{
"target_name": "forbidden-point-finder",
"sources": [
"src/binding/finder.cpp",
"forbidden-point-finder/ForbiddenPointFinder.cpp"
]
}
]
} | 22.363636 | 65 | 0.434959 | {
"targets": [
{
"target_name": "forbidden-point-finder",
"sources": [
"src/binding/finder.cpp",
"forbidden-point-finder/ForbiddenPointFinder.cpp"
]
}
]
} | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
32726b1cb6b6247e15672ca2217538000b322b57 | 8,117 | py | Python | model/sda.py | urielcaire/mult | 45c0cba69153442be2cee6309d46d55086445e5c | [
"Apache-2.0"
] | 12 | 2020-10-13T01:27:35.000Z | 2021-11-22T13:42:26.000Z | model/sda.py | urielcaire/mult | 45c0cba69153442be2cee6309d46d55086445e5c | [
"Apache-2.0"
] | null | null | null | model/sda.py | urielcaire/mult | 45c0cba69153442be2cee6309d46d55086445e5c | [
"Apache-2.0"
] | 2 | 2020-10-12T13:40:41.000Z | 2022-03-29T05:28:59.000Z | # Copyright 2020 The MuLT 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 la... | 35.757709 | 117 | 0.541456 | # Copyright 2020 The MuLT 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 la... | 0 | 0 | 0 | 7,361 | 0 | 0 | 0 | 4 | 68 |
1a1c18495688a5d56eefb780a5845b6038590c52 | 1,757 | py | Python | maps/maps-csv.py | vanthaiunghoa/ourBlock | c106ddc030707c91af1e4ceff6b3a6086f727d8d | [
"MIT"
] | null | null | null | maps/maps-csv.py | vanthaiunghoa/ourBlock | c106ddc030707c91af1e4ceff6b3a6086f727d8d | [
"MIT"
] | null | null | null | maps/maps-csv.py | vanthaiunghoa/ourBlock | c106ddc030707c91af1e4ceff6b3a6086f727d8d | [
"MIT"
] | 1 | 2019-12-26T18:05:37.000Z | 2019-12-26T18:05:37.000Z | from datetime import datetime
import json
from collections import OrderedDict
import os.path
from sklearn.preprocessing import MinMaxScaler
import numpy as np
from math import sqrt
import pandas as pd
data = OrderedDict()
weights = []
lat = []
long = []
num_points = 500
if os.path.isfile('maps.json') :
with open... | 20.916667 | 70 | 0.648264 | from datetime import datetime
import json
from collections import OrderedDict
import os.path
from math import log
from math import e
from sklearn.preprocessing import minmax_scale
from sklearn.preprocessing import MinMaxScaler
import numpy as np
from math import sqrt
import pandas as pd
data = OrderedDict()
weights = ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 66 |
06dcb38567cb606e5cd8337189d802aa2e73c189 | 21,003 | py | Python | interpreter/code/byterun/pyvm2.py | yunkai123/my-500lines-notes | 60fd3b18919b5bcb90ddece9e088c1c152438972 | [
"MIT"
] | null | null | null | interpreter/code/byterun/pyvm2.py | yunkai123/my-500lines-notes | 60fd3b18919b5bcb90ddece9e088c1c152438972 | [
"MIT"
] | null | null | null | interpreter/code/byterun/pyvm2.py | yunkai123/my-500lines-notes | 60fd3b18919b5bcb90ddece9e088c1c152438972 | [
"MIT"
] | null | null | null | """ Python Python """
#
# 1. pyvm2 Paul Swartz http://www.twistedmatrix.com/users/z3p/
# 2. byterun Ned Batcheldergithub.com/nedbat/byterun
import collections
Block = collections.namedtuple("Block", "type, handler, stack_height")
| 29.918803 | 117 | 0.565491 | """一个纯 Python 实现的 Python 字节码解释器"""
# 改编自
# 1. pyvm2 作者：Paul Swartz，来自 http://www.twistedmatrix.com/users/z3p/
# 2. byterun 作者：Ned Batchelder，github.com/nedbat/byterun
import dis, operator, sys, collections, inspect, types
class Frame(object):
def __init__(self, code_obj, global_names, local_names, prev_frame):
... | 1,983 | 0 | 0 | 19,837 | 0 | 80 | 0 | 36 | 115 |
a825d0701ed6a068133819b7f8a0e257d16df555 | 31,029 | py | Python | src/spdc_inv/utils/utils.py | EyalRozenberg1/SPDCinv | 036910a94d850ade312d593b1c18c3896093b049 | [
"Apache-2.0"
] | 4 | 2021-12-11T21:05:35.000Z | 2022-01-05T02:52:15.000Z | src/spdc_inv/utils/utils.py | EyalRozenberg1/SPDCinv | 036910a94d850ade312d593b1c18c3896093b049 | [
"Apache-2.0"
] | null | null | null | src/spdc_inv/utils/utils.py | EyalRozenberg1/SPDCinv | 036910a94d850ade312d593b1c18c3896093b049 | [
"Apache-2.0"
] | 1 | 2022-01-10T17:09:53.000Z | 2022-01-10T17:09:53.000Z | from typing import List, Union, Any
from spdc_inv.utils.defaults import QUBIT
import jax.numpy as np
import math
# Constants:
pi = np.pi
c = 2.99792458e8 # speed of light [meter/sec]
eps0 = 8.854187817e-12 # vacuum permittivity [Farad/meter]
h_bar = 1.054571800e-34 # [m^2 kg / s], taken from http:/... | 34.476667 | 118 | 0.530053 | from abc import ABC
from jax.ops import index_update, index_add, index
from typing import List, Union, Any
from spdc_inv.utils.defaults import QUBIT
import scipy.special as sp
import jax.numpy as np
import math
# Constants:
pi = np.pi
c = 2.99792458e8 # speed of light [meter/sec]
eps0 = 8.854187817e-1... | 4 | 0 | 0 | 19,229 | 0 | 0 | 0 | 32 | 159 |
bd07df6570fc0aa352615daf76a0ee8b62298953 | 1,484 | py | Python | test_scripts/test_LSST_sim.py | jakevdp/spheredb | e5e5ff8b8902459b3f38a1a413a712ac1695accc | [
"BSD-3-Clause"
] | 1 | 2021-08-29T06:01:28.000Z | 2021-08-29T06:01:28.000Z | test_scripts/test_LSST_sim.py | jakevdp/spheredb | e5e5ff8b8902459b3f38a1a413a712ac1695accc | [
"BSD-3-Clause"
] | null | null | null | test_scripts/test_LSST_sim.py | jakevdp/spheredb | e5e5ff8b8902459b3f38a1a413a712ac1695accc | [
"BSD-3-Clause"
] | 2 | 2018-08-03T20:27:35.000Z | 2021-08-29T06:01:30.000Z | """
Testing WCS projections on LSST simulation files
"""
import os, sys
sys.path.append(os.path.abspath('..'))
import numpy as np
import matplotlib.pyplot as plt
from spheredb.get_data import get_stripe82_file, all_lsst_exposures, get_LSST_file
from spheredb.conversions import FITS_to_HPX, HPX_grid_step
from sphered... | 24.733333 | 76 | 0.657682 | """
Testing WCS projections on LSST simulation files
"""
import os, sys
sys.path.append(os.path.abspath('..'))
import numpy as np
import matplotlib.pyplot as plt
from spheredb.get_data import\
get_stripe82_file, all_lsst_exposures, get_LSST_file
from spheredb.conversions import FITS_to_HPX, HPX_grid_step
from sp... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 |
dc6f460bce02b737f3c3be063882b7ec784ca799 | 2,982 | py | Python | tests/pytests/functional/conftest.py | GLaN1K/salt | ec1a907465c2d6dff126b747a52035e19b9a105b | [
"Apache-2.0"
] | null | null | null | tests/pytests/functional/conftest.py | GLaN1K/salt | ec1a907465c2d6dff126b747a52035e19b9a105b | [
"Apache-2.0"
] | 4 | 2021-02-06T14:30:48.000Z | 2021-12-13T20:50:10.000Z | tests/pytests/functional/conftest.py | GLaN1K/salt | ec1a907465c2d6dff126b747a52035e19b9a105b | [
"Apache-2.0"
] | 1 | 2021-05-10T13:59:33.000Z | 2021-05-10T13:59:33.000Z | import logging
import salt.features
import salt.loader
log = logging.getLogger(__name__)
| 26.157895 | 84 | 0.639504 | import logging
import shutil
import pytest
import salt.features
import salt.loader
import salt.pillar
log = logging.getLogger(__name__)
class Loaders:
def __init__(self, opts):
self.opts = opts
self.context = {}
self._reset_state_funcs = [self.context.clear]
self._grains = self._... | 0 | 2,053 | 0 | 623 | 0 | 0 | 0 | -19 | 228 |
2a064a6e84bc4fb785bd64064f8eb65382a5cafd | 2,931 | py | Python | using_sklearn.py | mzmmoazam/Titanic-Dataset | 58704877afc3c23b88b29a575c04af09afc94af2 | [
"MIT"
] | null | null | null | using_sklearn.py | mzmmoazam/Titanic-Dataset | 58704877afc3c23b88b29a575c04af09afc94af2 | [
"MIT"
] | null | null | null | using_sklearn.py | mzmmoazam/Titanic-Dataset | 58704877afc3c23b88b29a575c04af09afc94af2 | [
"MIT"
] | null | null | null | import csv
import numpy as np
### I had only used numpy , as this is when I had just dived in
### this universe
### So , for beginners go search for pandas you will reduce the lines of code and it
### is awesome !!
### read data
with open('../Data/train.csv') as f:
reader = csv.reader(f, delimiter=',')
data... | 27.914286 | 85 | 0.657455 | import csv
import numpy as np
### I had only used numpy , as this is when I had just dived in
### this universe
### So , for beginners go search for pandas you will reduce the lines of code and it
### is awesome !!
### read data
with open('../Data/train.csv') as f:
reader = csv.reader(f, delimiter=',')
data... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 |
8453c193927c760ea206d0589cb5c1335098bc78 | 244 | py | Python | ltime/util.py | fanjindong/ltime | c17025ceb4ed0e423162e3c302fc777fcdada7df | [
"MIT"
] | null | null | null | ltime/util.py | fanjindong/ltime | c17025ceb4ed0e423162e3c302fc777fcdada7df | [
"MIT"
] | null | null | null | ltime/util.py | fanjindong/ltime | c17025ceb4ed0e423162e3c302fc777fcdada7df | [
"MIT"
] | null | null | null | from __future__ import absolute_import
| 15.25 | 38 | 0.614754 | from __future__ import absolute_import
def is_timestamp(value):
if type(value) == bool:
return False
try:
float(value)
return True
except:
return False
def isstr(s):
return isinstance(s, str)
| 0 | 0 | 0 | 0 | 0 | 157 | 0 | 0 | 46 |
b127bdb8be952e1a6b5245cf98323de492eec89b | 1,653 | py | Python | nanotune/model/node.py | jenshnielsen/nanotune | 0f2a252d1986f9a5ff155fad626658f85aec3f3e | [
"MIT"
] | 5 | 2021-02-24T14:32:37.000Z | 2022-01-05T16:37:26.000Z | nanotune/model/node.py | jenshnielsen/nanotune | 0f2a252d1986f9a5ff155fad626658f85aec3f3e | [
"MIT"
] | 149 | 2021-03-23T14:44:39.000Z | 2022-03-31T06:09:07.000Z | nanotune/model/node.py | jenshnielsen/nanotune | 0f2a252d1986f9a5ff155fad626658f85aec3f3e | [
"MIT"
] | 10 | 2021-03-29T13:36:38.000Z | 2022-02-16T23:06:35.000Z | import logging
logger = logging.getLogger(__name__)
| 23.956522 | 59 | 0.553539 | import logging
from typing import Optional
import qcodes as qc
from qcodes import Instrument, InstrumentChannel, Parameter
from qcodes import validators as vals
from qcodes.instrument.base import InstrumentBase
from qcodes.utils.validators import Validator
import nanotune as nt
logger = logging.getLogger(__name__)
... | 0 | 0 | 0 | 1,310 | 0 | 0 | 0 | 110 | 179 |
fc6aba255f9187115a00a25541285fac525573c7 | 8,015 | py | Python | notebooks/md/data/md_equil/6KZD/md_equil.py | openkinome/study-ntrk-resistance | 3c4ba64538ec55c774d34c9d7cd0a5e4665dc9d5 | [
"MIT"
] | null | null | null | notebooks/md/data/md_equil/6KZD/md_equil.py | openkinome/study-ntrk-resistance | 3c4ba64538ec55c774d34c9d7cd0a5e4665dc9d5 | [
"MIT"
] | 1 | 2021-07-30T15:01:53.000Z | 2021-08-02T09:48:08.000Z | notebooks/md/data/md_equil/6KZD/md_equil.py | openkinome/study-ntrk-resistance | 3c4ba64538ec55c774d34c9d7cd0a5e4665dc9d5 | [
"MIT"
] | null | null | null | import argparse
import os
from sys import stdout
import mdtraj as md
import numpy as np
import simtk.openmm as mm
import simtk.openmm.app as app
import simtk.unit as unit
from openforcefield.topology import Molecule, Topology
from openmmforcefields.generators import SystemGenerator
from simtk.openmm.app import Checkpo... | 33.676471 | 92 | 0.76282 | import argparse
import os
import sys
from sys import stdout
import mdtraj as md
import numpy as np
import parmed
import simtk.openmm as mm
import simtk.openmm.app as app
import simtk.unit as unit
from openforcefield.topology import Molecule, Topology
from openmmforcefields.generators import SystemGenerator
from perses... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 96 | 110 |
e215f99357e8f5180f8fadd116c52486463e20bc | 910 | py | Python | app/models/answerselect.py | garybake/quizmaster | f5f03b9a70823cbcd0299fc1e21f52347292d136 | [
"MIT"
] | null | null | null | app/models/answerselect.py | garybake/quizmaster | f5f03b9a70823cbcd0299fc1e21f52347292d136 | [
"MIT"
] | 1 | 2021-03-23T19:18:36.000Z | 2021-03-23T19:18:36.000Z | app/models/answerselect.py | garybake/quizmaster | f5f03b9a70823cbcd0299fc1e21f52347292d136 | [
"MIT"
] | null | null | null | """Holds AnswerSelect model."""
from .. import db
| 32.5 | 75 | 0.672527 | """Holds AnswerSelect model."""
import datetime
from .. import db
class AnswerSelect(db.Model):
"""Model to hold a users selected answers."""
__tablename__ = "answerselects"
id = db.Column(db.Integer, primary_key=True)
user_id = db.Column(db.Integer, db.ForeignKey("users.id"))
quiz_id = db.Col... | 0 | 0 | 0 | 818 | 0 | 0 | 0 | -6 | 46 |
556f8642ca306c2f5a199d9fbb2db0764833a1bb | 490 | py | Python | src/osparc_function_services/cli.py | pcrespov/osparc-function-services | 68be5bf2cad181f703488c2f358efa668f3ac3c5 | [
"MIT"
] | null | null | null | src/osparc_function_services/cli.py | pcrespov/osparc-function-services | 68be5bf2cad181f703488c2f358efa668f3ac3c5 | [
"MIT"
] | null | null | null | src/osparc_function_services/cli.py | pcrespov/osparc-function-services | 68be5bf2cad181f703488c2f358efa668f3ac3c5 | [
"MIT"
] | null | null | null | import typer
main = typer.Typer()
if __name__ == "__main__":
main()
| 16.333333 | 52 | 0.763265 | import typer
from .app import run_as_service
from .sensitivity_ua_services import (
sensitivity_ua_linear_regression,
sensitivity_ua_test_func,
)
from .demo_services import demo_func
main = typer.Typer()
@main.command()
def test_func():
run_as_service(sensitivity_ua_test_func)
@main.command()
def line... | 0 | 164 | 0 | 0 | 0 | 0 | 0 | 112 | 136 |
a02a7d46d66be767da8b325d1fb24538b4225035 | 631 | py | Python | engine/__init__.py | ZenithClown/DQNProjects | 3a9f022166022509fce0f4306ed5612854d5539f | [
"Apache-2.0"
] | null | null | null | engine/__init__.py | ZenithClown/DQNProjects | 3a9f022166022509fce0f4306ed5612854d5539f | [
"Apache-2.0"
] | null | null | null | engine/__init__.py | ZenithClown/DQNProjects | 3a9f022166022509fce0f4306ed5612854d5539f | [
"Apache-2.0"
] | null | null | null | # -*- encoding: utf-8 -*-
"""
DeepQ Learning is a Reinforcement Learning Platform where AI Learns to Play Games
In this project, I'm trying to develop some 'Q-Learning Algorithms' where the
neural network will learn to play various games. The `engine` is specifically
designed to build games that can be used to train ... | 31.55 | 81 | 0.759113 | # -*- encoding: utf-8 -*-
"""
DeepQ Learning is a Reinforcement Learning Platform where AI Learns to Play Games
In this project, I'm trying to develop some 'Q-Learning Algorithms' where the
neural network will learn to play various games. The `engine` is specifically
designed to build games that can be used to train ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 35 |
ef1655c61f13f3ef2c6142375d3cac6ee69db26b | 623 | py | Python | ocrd_utils/ocrd_utils/constants.py | wrznr/pyocrd | 25c4dd8c60285b7877803e2b627d72c8c0a4ab1e | [
"Apache-2.0"
] | null | null | null | ocrd_utils/ocrd_utils/constants.py | wrznr/pyocrd | 25c4dd8c60285b7877803e2b627d72c8c0a4ab1e | [
"Apache-2.0"
] | null | null | null | ocrd_utils/ocrd_utils/constants.py | wrznr/pyocrd | 25c4dd8c60285b7877803e2b627d72c8c0a4ab1e | [
"Apache-2.0"
] | null | null | null | """
Constants for ocrd_utils.
"""
from pkg_resources import get_distribution
__all__ = [
'VERSION',
'MIMETYPE_PAGE',
'EXT_TO_MIME',
'MIME_TO_EXT'
]
VERSION = get_distribution('ocrd_utils').version
MIMETYPE_PAGE = 'application/vnd.prima.page+xml'
EXT_TO_MIME = {
'.tif': 'image/tiff',
'.tiff':... | 18.323529 | 48 | 0.592295 | """
Constants for ocrd_utils.
"""
from pkg_resources import get_distribution
__all__ = [
'VERSION',
'MIMETYPE_PAGE',
'EXT_TO_MIME',
'MIME_TO_EXT'
]
VERSION = get_distribution('ocrd_utils').version
MIMETYPE_PAGE = 'application/vnd.prima.page+xml'
EXT_TO_MIME = {
'.tif': 'image/tiff',
'.tiff':... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5ec13ba80a976c7b8c28df2901d282722275851c | 3,661 | py | Python | zygrader/ui/templates.py | natecraddock/zygrader | 3a1d5c1dbe76c8f76c2a99f271a26b2ec873006a | [
"MIT"
] | 5 | 2019-11-15T17:42:42.000Z | 2021-04-20T19:35:25.000Z | zygrader/ui/templates.py | natecraddock/zygrader | 3a1d5c1dbe76c8f76c2a99f271a26b2ec873006a | [
"MIT"
] | 76 | 2020-02-22T01:42:16.000Z | 2021-04-28T18:47:20.000Z | zygrader/ui/templates.py | cs142ta/zygrader | 8ae500ced4cb6f9bcc8a2fd637d8f8dc7a8a9607 | [
"MIT"
] | 2 | 2020-02-21T04:39:38.000Z | 2021-04-20T19:35:20.000Z | """UI Templates: For reusable ui pieces built from components."""
from zygrader import ui
def filename_input(purpose, text=""):
"""Get a valid filename from the user"""
window = ui.get_window()
path_input = ui.layers.PathInputLayer("Filepath Entry")
path_input.set_prompt(
[f"Enter the path ... | 38.135417 | 85 | 0.565966 | """UI Templates: For reusable ui pieces built from components."""
from zygrader import ui
from zygrader.zybooks import Zybooks
class ZybookSectionSelector:
def __init__(self, allow_optional_and_hidden=False):
self.window = ui.get_window()
self.zy_api = Zybooks()
self.allow_optional_and_hi... | 0 | 0 | 0 | 3,089 | 0 | 0 | 0 | 15 | 45 |
f21eccfc340c873b740e8a9c2712d3502fd1e059 | 926 | py | Python | algorithms/sorting/selection_sort.py | EthanVieira/CLRS-solutions | c20bb7e4b9f26eef62bbd32caae27637e94a4a19 | [
"MIT"
] | null | null | null | algorithms/sorting/selection_sort.py | EthanVieira/CLRS-solutions | c20bb7e4b9f26eef62bbd32caae27637e94a4a19 | [
"MIT"
] | null | null | null | algorithms/sorting/selection_sort.py | EthanVieira/CLRS-solutions | c20bb7e4b9f26eef62bbd32caae27637e94a4a19 | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
print(selection_sort([]))
print(selection_sort([1]))
print(selection_sort([0, 100000000, 20000]))
print(selection_sort([1, 0]))
print(selection_sort([1.5, -2.6, 2, 1.1]))
print(selection_sort([3, 6, 8, 1, 2, 5, 3, 9, 3, 5, 9, 2]))
print(selection_sort([3, 6, -45,... | 37.04 | 73 | 0.536717 | def selection_sort(items: list, comparison=lambda a, b: a < b):
for i in range(len(items[:-1])):
index = i
candidate = items[i]
for j, item2 in enumerate(items[i:]):
if comparison(item2, candidate):
candidate = item2
index = j + i
items[i]... | 0 | 0 | 0 | 0 | 0 | 355 | 0 | 0 | 22 |
f3f7bd514a45063730bb6565c9ca529d17a83da6 | 1,261 | py | Python | src/uvm/dap/uvm_dap.py | rodrigomelo9/uvm-python | e3127eba2cc1519a61dc6f736d862a8dcd6fce20 | [
"Apache-2.0"
] | 140 | 2020-01-18T00:14:17.000Z | 2022-03-29T10:57:24.000Z | src/uvm/dap/uvm_dap.py | Mohsannaeem/uvm-python | 1b8768a1358d133465ede9cadddae651664b1d53 | [
"Apache-2.0"
] | 24 | 2020-01-18T18:40:58.000Z | 2021-03-25T17:39:07.000Z | src/uvm/dap/uvm_dap.py | Mohsannaeem/uvm-python | 1b8768a1358d133465ede9cadddae651664b1d53 | [
"Apache-2.0"
] | 34 | 2020-01-18T12:22:59.000Z | 2022-02-11T07:03:11.000Z | #//
#//------------------------------------------------------------------------------
#// Copyright 2007-2011 Mentor Graphics Corporation
#// Copyright 2007-2011 Cadence Design Systems, Inc.
#// Copyright 2010-2011 Synopsys, Inc.
#// Copyright 2013 NVIDIA Corporation
#// All Rights Reserved Worldwide
#/... | 36.028571 | 81 | 0.613799 | #//
#//------------------------------------------------------------------------------
#// Copyright 2007-2011 Mentor Graphics Corporation
#// Copyright 2007-2011 Cadence Design Systems, Inc.
#// Copyright 2010-2011 Synopsys, Inc.
#// Copyright 2013 NVIDIA Corporation
#// All Rights Reserved Worldwide
#/... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4f960221db6ab2cc64d1f2d013d6065459c08ab2 | 2,845 | py | Python | service/houston.py | sola1993/inmoov | 34e7bb6e214bd9bf3eee808c19f0ab09ec79345f | [
"Apache-2.0"
] | 1 | 2021-02-24T17:05:52.000Z | 2021-02-24T17:05:52.000Z | src/resource/Python/examples/houston.py | DarkRebel/myrobotlab | b8cf60776bdb4aef2d7dd763dfcdcf8ef99bc955 | [
"Apache-2.0"
] | null | null | null | src/resource/Python/examples/houston.py | DarkRebel/myrobotlab | b8cf60776bdb4aef2d7dd763dfcdcf8ef99bc955 | [
"Apache-2.0"
] | 1 | 2020-06-03T20:48:47.000Z | 2020-06-03T20:48:47.000Z | # Houston
# Connects a serial device on Windows this would COMx
# Sets the board type
# Then starts polling analog pin 17 which is Analog pin 3
# You will need MRLComm.ino loaded on the Arduino
# If all goes well - you should have 2 traces running
# in the arduino->oscope tab - you can at this point connect
# input - ... | 33.081395 | 89 | 0.777153 | # Houston
# Connects a serial device on Windows this would COMx
# Sets the board type
# Then starts polling analog pin 17 which is Analog pin 3
# You will need MRLComm.ino loaded on the Arduino
# If all goes well - you should have 2 traces running
# in the arduino->oscope tab - you can at this point connect
# input - ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 44 |
b56f79e1e64d0c4ea986e14f2491e8152330eff1 | 4,797 | py | Python | server/run.py | S-Kantor/CS446 | 7453f0be2c0380a0af0d429d66690d06b659000e | [
"Apache-2.0"
] | 2 | 2019-06-19T17:24:51.000Z | 2020-01-28T02:38:06.000Z | server/run.py | S-Kantor/CS446 | 7453f0be2c0380a0af0d429d66690d06b659000e | [
"Apache-2.0"
] | 4 | 2019-06-19T12:41:30.000Z | 2019-07-13T03:19:56.000Z | server/run.py | S-Kantor/CS446 | 7453f0be2c0380a0af0d429d66690d06b659000e | [
"Apache-2.0"
] | 1 | 2019-07-28T07:01:11.000Z | 2019-07-28T07:01:11.000Z | from typing import Dict
from flask import Flask
from room import Room
app = Flask(__name__)
rooms: Dict[str, Room] = {}
# Accepts datetime in milliseconds and converts to microseconds
# --------------------------------------------------------
# Rooms
# --------------------------------------------------------
#... | 33.78169 | 94 | 0.633729 | from datetime import datetime
from typing import Dict
from flask import Flask, request, send_file
from music import BeatTimestamp, FileOffsetRecording
from room import Room
app = Flask(__name__)
rooms: Dict[str, Room] = {}
# Accepts datetime in milliseconds and converts to microseconds
def parse_time(time_as_stri... | 0 | 2,251 | 0 | 0 | 0 | 81 | 0 | 59 | 288 |
d343e0f5bb0c664e34d052bfc81a5955774763f5 | 295 | py | Python | src/scs_dfe/interface/__init__.py | south-coast-science/scs_dfe_eng | 05708b27ba65438d11fad0d947bcff3df37dc87d | [
"MIT"
] | null | null | null | src/scs_dfe/interface/__init__.py | south-coast-science/scs_dfe_eng | 05708b27ba65438d11fad0d947bcff3df37dc87d | [
"MIT"
] | null | null | null | src/scs_dfe/interface/__init__.py | south-coast-science/scs_dfe_eng | 05708b27ba65438d11fad0d947bcff3df37dc87d | [
"MIT"
] | 2 | 2017-12-05T12:41:48.000Z | 2019-09-29T14:41:30.000Z | """
Created on 16 Apr 2017
@author: Bruno Beloff (bruno.beloff@southcoastscience.com)
"""
from scs_dfe.interface.component.pca8574 import PCA8574State
# --------------------------------------------------------------------------------------------------------------------
PCA8574State.init()
| 22.692308 | 118 | 0.461017 | """
Created on 16 Apr 2017
@author: Bruno Beloff (bruno.beloff@southcoastscience.com)
"""
from scs_dfe.interface.component.pca8574 import PCA8574State
# --------------------------------------------------------------------------------------------------------------------
PCA8574State.init()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
750985c33cdae87f7c5dfdfc9bedf623dce189ed | 28,548 | py | Python | basin_setup/delineate.py | USDA-ARS-NWRC/basin_setup | 8a9f661ab7897d63dda6c470cfd24f498e6e6183 | [
"CC0-1.0"
] | 1 | 2020-10-15T00:53:46.000Z | 2020-10-15T00:53:46.000Z | basin_setup/delineate.py | USDA-ARS-NWRC/basin_setup | 8a9f661ab7897d63dda6c470cfd24f498e6e6183 | [
"CC0-1.0"
] | 58 | 2017-12-13T23:37:12.000Z | 2021-07-26T19:58:05.000Z | basin_setup/delineate.py | USDA-ARS-NWRC/basin_setup | 8a9f661ab7897d63dda6c470cfd24f498e6e6183 | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python3
import datetime
import os
import shutil
import sys
from subprocess import check_output
import geopandas as gpd
import numpy as np
from colorama import init
from basin_setup import __version__
# Initialize colors
init()
DEBUG = False
out = Messages()
def check_path(filename, outfile=False... | 34.271309 | 88 | 0.585855 | #!/usr/bin/env python3
import argparse
import datetime
import os
import shutil
import sys
import time
from subprocess import check_output
import geopandas as gpd
import numpy as np
from colorama import Fore, Style, init
from basin_setup import __version__
# Initialize colors
init()
DEBUG = False
class Messages()... | 0 | 0 | 0 | 2,407 | 0 | 2,804 | 0 | -3 | 91 |
8907c9f34efb220b34e310d040d510f1d54753e0 | 1,565 | py | Python | mlxtk/tools/entropy.py | f-koehler/mlxtk | 373aed06ab23ab9b70cd99e160228c50b87e939a | [
"MIT"
] | 2 | 2018-12-21T19:41:10.000Z | 2019-11-25T15:26:27.000Z | mlxtk/tools/entropy.py | f-koehler/mlxtk | 373aed06ab23ab9b70cd99e160228c50b87e939a | [
"MIT"
] | 73 | 2017-12-22T13:30:16.000Z | 2022-02-22T04:21:14.000Z | mlxtk/tools/entropy.py | f-koehler/mlxtk | 373aed06ab23ab9b70cd99e160228c50b87e939a | [
"MIT"
] | null | null | null | """Compute entropy
"""
from typing import Union
import numpy
def compute_entropy(
natpop: numpy.ndarray, normalize: bool = False
) -> Union[numpy.ndarray, numpy.float64]:
"""Compute the Boltzmann entropy from natural populations.
The entropy is computed using the formula
:math:`S_\\mathrm{B}=-\\sum\... | 26.525424 | 75 | 0.547604 | """Compute entropy
"""
from typing import Union
import numpy
from mlxtk.log import get_logger
def compute_entropy(
natpop: numpy.ndarray, normalize: bool = False
) -> Union[numpy.ndarray, numpy.float64]:
"""Compute the Boltzmann entropy from natural populations.
The entropy is computed using the formul... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 23 |
96be032b76e4f0245c5919da7cc7fc9aa378da31 | 2,678 | py | Python | lsassy/impacketfile.py | pretech86/lsassy | 8935fb6f0829055820e1c3d79016f522d04e3b6e | [
"MIT"
] | null | null | null | lsassy/impacketfile.py | pretech86/lsassy | 8935fb6f0829055820e1c3d79016f522d04e3b6e | [
"MIT"
] | null | null | null | lsassy/impacketfile.py | pretech86/lsassy | 8935fb6f0829055820e1c3d79016f522d04e3b6e | [
"MIT"
] | 1 | 2020-05-14T23:20:30.000Z | 2020-05-14T23:20:30.000Z | # Author:
# Romain Bentz (pixis - @hackanddo)
# Website:
# https://beta.hackndo.com
| 34.333333 | 155 | 0.584765 | # Author:
# Romain Bentz (pixis - @hackanddo)
# Website:
# https://beta.hackndo.com
class ImpacketFile:
def __init__(self):
self._conn = None
self._fpath = None
self._currentOffset = 0
self._total_read = 0
self._tid = None
self._fid = None
self._b... | 0 | 0 | 0 | 2,569 | 0 | 0 | 0 | 0 | 23 |
0587740f1953f3e18ed695131ebf5a181e2171cc | 3,684 | py | Python | validation_tests/reports/validations_produce_results.py | samcom12/anuga_core | f4378114dbf02d666fe6423de45798add5c42806 | [
"Python-2.0",
"OLDAP-2.7"
] | 136 | 2015-05-07T05:47:43.000Z | 2022-02-16T03:07:40.000Z | validation_tests/reports/validations_produce_results.py | samcom12/anuga_core | f4378114dbf02d666fe6423de45798add5c42806 | [
"Python-2.0",
"OLDAP-2.7"
] | 184 | 2015-05-03T09:27:54.000Z | 2021-12-20T04:22:48.000Z | validation_tests/reports/validations_produce_results.py | samcom12/anuga_core | f4378114dbf02d666fe6423de45798add5c42806 | [
"Python-2.0",
"OLDAP-2.7"
] | 70 | 2015-03-18T07:35:22.000Z | 2021-11-01T07:07:29.000Z | """
Script to run all the produce_results scripts in the
validation_tests/xxx/xxx/ directories
"""
import os
import time
import anuga
from anuga import indent
#from anuga.validation_utilities.parameters import alg
#from anuga.validation_utilities.parameters import cfl
args = anuga.get_args()
alg = args.alg
np = arg... | 23.316456 | 94 | 0.58089 | """
Script to run all the produce_results scripts in the
validation_tests/xxx/xxx/ directories
"""
import os
import time
import anuga
from anuga import indent
#from anuga.validation_utilities.parameters import alg
#from anuga.validation_utilities.parameters import cfl
args = anuga.get_args()
alg = args.alg
np = arg... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
aee842451f6eade6db5c2978ec2bdca97f54e1b7 | 341 | py | Python | Courses/Codeval/Easy/Python/48-MultiplyList.py | leparrav/Playground | dcb90a2dd2bc1867511cfe621eb21248a60e357f | [
"Unlicense"
] | 1 | 2019-02-13T12:02:26.000Z | 2019-02-13T12:02:26.000Z | Courses/Codeval/Easy/Python/48-MultiplyList.py | leparrav/Playground | dcb90a2dd2bc1867511cfe621eb21248a60e357f | [
"Unlicense"
] | 1 | 2018-08-13T15:58:33.000Z | 2018-08-13T15:58:33.000Z | Courses/Codeval/Easy/Python/48-MultiplyList.py | leparrav/Playground | dcb90a2dd2bc1867511cfe621eb21248a60e357f | [
"Unlicense"
] | 2 | 2017-08-10T20:01:29.000Z | 2021-07-01T08:39:13.000Z | '''
https://www.codeeval.com/open_challenges/113/
'''
if __name__ == '__main__':
main() | 20.058824 | 61 | 0.604106 | '''
https://www.codeeval.com/open_challenges/113/
'''
import sys
def main():
with open(sys.argv[1],'r') as word_file:
for line in word_file.readlines():
line = line.strip().split("|")
v1 = line[0].split()
v2 = line[1].split()
print " ".join([str(int(a)*int(b)) for a,b in zip(v1,v2)])
if __name__ == '... | 0 | 0 | 0 | 0 | 0 | 213 | 0 | -11 | 45 |
2dcd7277bafb8be6b517570230e90076a4f3dbdc | 3,014 | py | Python | src/vm.py | obs145628/py-calculatrice | d833307b79c01b046e82204f65334be28b1af2a0 | [
"MIT"
] | null | null | null | src/vm.py | obs145628/py-calculatrice | d833307b79c01b046e82204f65334be28b1af2a0 | [
"MIT"
] | null | null | null | src/vm.py | obs145628/py-calculatrice | d833307b79c01b046e82204f65334be28b1af2a0 | [
"MIT"
] | null | null | null |
_ntypes = 0
TYPE_VOID = add_type()
TYPE_INT = add_type()
TYPE_FLOAT = add_type()
TYPE_STRING = add_type()
TYPE_LVALUE = add_type()
TYPE_FUNCTION = add_type()
_funs = dict()
| 21.683453 | 85 | 0.618447 |
_ntypes = 0
def add_type():
global _ntypes
res = _ntypes
_ntypes += 1
return res
TYPE_VOID = add_type()
TYPE_INT = add_type()
TYPE_FLOAT = add_type()
TYPE_STRING = add_type()
TYPE_LVALUE = add_type()
TYPE_FUNCTION = add_type()
class Value:
def __init__(self, type):
self.type = type
cla... | 0 | 0 | 0 | 1,712 | 0 | 839 | 0 | 0 | 275 |
14df3965a52ef794a701a973e8584d6f6bac4cc0 | 2,774 | py | Python | Examples/ExampleScripts/PrevNextGlyph.py | andyclymer/ControlBoard | e9b56341c38b982fe22db4e40a86c6b219c85d7e | [
"MIT"
] | 21 | 2015-03-06T12:02:18.000Z | 2021-03-28T16:44:11.000Z | Examples/ExampleScripts/PrevNextGlyph.py | andyclymer/ControlBoard | e9b56341c38b982fe22db4e40a86c6b219c85d7e | [
"MIT"
] | 1 | 2015-03-07T00:14:24.000Z | 2015-03-07T00:14:24.000Z | Examples/ExampleScripts/PrevNextGlyph.py | andyclymer/ControlBoard | e9b56341c38b982fe22db4e40a86c6b219c85d7e | [
"MIT"
] | 3 | 2015-03-06T11:36:09.000Z | 2015-06-30T04:46:41.000Z |
PrevNextGlyph()
| 40.202899 | 117 | 0.570656 | from mojo.UI import CurrentGlyphWindow
from mojo.events import addObserver, removeObserver
import vanilla
class PrevNextGlyph:
"""
ControlBoard
"PrevNextGlyph" demo
Use a Rotary Encoder component to swtich the Current Glyph Window to the previous or next glyphs.
After rem... | 0 | 0 | 0 | 2,566 | 0 | 0 | 0 | 40 | 89 |
2e4f43eef799a5742b5c04f6a152c2bae78060a5 | 1,871 | py | Python | tests/test_simsrv.py | erikvanmulligen/etransafe-use-scenarios | 6ec26120315abd66efdbfee6f5acba71e698a2b4 | [
"MIT"
] | null | null | null | tests/test_simsrv.py | erikvanmulligen/etransafe-use-scenarios | 6ec26120315abd66efdbfee6f5acba71e698a2b4 | [
"MIT"
] | 1 | 2021-02-11T14:59:37.000Z | 2021-02-11T14:59:37.000Z | tests/test_simsrv.py | erikvanmulligen/etransafe-use-scenarios | 6ec26120315abd66efdbfee6f5acba71e698a2b4 | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
main()
| 41.577778 | 103 | 0.603421 | import pprint
import argparse
from src.knowledgehub.api import KnowledgeHubAPI
def main():
#api = KnowledgeHubAPI(server='TEST', client_secret='39c644b3-1f23-4d94-a71f-e0fb43ebd760')
api = KnowledgeHubAPI(server='DEV', client_secret='3db5a6d7-4694-48a4-8a2e-e9c30d78f9ab')
#api.set_service('DEV')
prin... | 0 | 0 | 0 | 0 | 0 | 1,727 | 0 | 13 | 90 |
c62df33d10fca822c2f9f72c3c0f16c300609e0c | 107 | py | Python | day2/day2-05 lab1-1 multiple if.py | hajin-kim/2020-HighSchool-Python-Tutoring | 352025a954bff37d21cc3d59e7d5e0f0269a1f17 | [
"MIT"
] | null | null | null | day2/day2-05 lab1-1 multiple if.py | hajin-kim/2020-HighSchool-Python-Tutoring | 352025a954bff37d21cc3d59e7d5e0f0269a1f17 | [
"MIT"
] | null | null | null | day2/day2-05 lab1-1 multiple if.py | hajin-kim/2020-HighSchool-Python-Tutoring | 352025a954bff37d21cc3d59e7d5e0f0269a1f17 | [
"MIT"
] | null | null | null | num1 = int( input() )
num2 = int( input() )
if num1 > 0:
if num2 > 0:
print(num1, num2)
| 15.285714 | 26 | 0.476636 | num1 = int( input() )
num2 = int( input() )
if num1 > 0:
if num2 > 0:
print(num1, num2)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f30af8b892bb64dbc6995802842d8a62372c28be | 227 | py | Python | PyQt5/DateTime/xmas.py | zhaokai0402/PyQt5-Study | e6280fdc615e47c947c0902836350db49441e6de | [
"MIT"
] | null | null | null | PyQt5/DateTime/xmas.py | zhaokai0402/PyQt5-Study | e6280fdc615e47c947c0902836350db49441e6de | [
"MIT"
] | null | null | null | PyQt5/DateTime/xmas.py | zhaokai0402/PyQt5-Study | e6280fdc615e47c947c0902836350db49441e6de | [
"MIT"
] | null | null | null | from PyQt5.QtCore import QDate, Qt
p1 = QDate(1996, 4, 2)
p2 = QDate(1994, 6, 13)
dayspassed = p1.daysTo(p2)
print("{0} days have passed since {1} to {2}".format(dayspassed, p1.toString(Qt.ISODate), p2.toString(Qt.ISODate))) | 28.375 | 115 | 0.696035 | from PyQt5.QtCore import QDate, Qt
p1 = QDate(1996, 4, 2)
p2 = QDate(1994, 6, 13)
dayspassed = p1.daysTo(p2)
print("{0} days have passed since {1} to {2}".format(dayspassed, p1.toString(Qt.ISODate), p2.toString(Qt.ISODate))) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8a6c28798ac5f2eea948fe552d7ed58ea3366867 | 12,696 | py | Python | qtorch/quant/quant_function.py | drcut/QPyTorch | 63c293178e8ce9e6e5b218dee96536e9c4ad1e5c | [
"MIT"
] | null | null | null | qtorch/quant/quant_function.py | drcut/QPyTorch | 63c293178e8ce9e6e5b218dee96536e9c4ad1e5c | [
"MIT"
] | null | null | null | qtorch/quant/quant_function.py | drcut/QPyTorch | 63c293178e8ce9e6e5b218dee96536e9c4ad1e5c | [
"MIT"
] | null | null | null | import torch
from qtorch import Number, FixedPoint, BlockFloatingPoint, FloatingPoint
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from torch.utils.cpp_extension import load
import os
current_path = os.path.dirname(os.path.realpath(__file__))
quant_cpu = load(
name='quant_cpu',
... | 52.032787 | 172 | 0.632246 | import torch
from qtorch import Number, FixedPoint, BlockFloatingPoint, FloatingPoint
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from torch.utils.cpp_extension import load
import os
current_path = os.path.dirname(os.path.realpath(__file__))
quant_cpu = load(
name='quant_cpu',
... | 0 | 1,717 | 0 | 38 | 0 | 238 | 0 | 0 | 244 |
37098085de756a93d7f4495599b694d1f17420e3 | 797 | py | Python | pylmod/tests/common.py | mitodl/PyLmod | c028ceca631c5e1032b23a4d1a8cde17450df252 | [
"BSD-2-Clause"
] | 4 | 2015-09-08T18:58:10.000Z | 2018-03-06T01:14:46.000Z | pylmod/tests/common.py | mitodl/PyLmod | c028ceca631c5e1032b23a4d1a8cde17450df252 | [
"BSD-2-Clause"
] | 73 | 2015-02-12T14:44:50.000Z | 2022-01-19T00:05:44.000Z | pylmod/tests/common.py | mitodl/PyLmod | c028ceca631c5e1032b23a4d1a8cde17450df252 | [
"BSD-2-Clause"
] | 2 | 2015-04-30T01:19:23.000Z | 2015-08-07T07:30:08.000Z | """
Base class and common constants needed for pylmod tests
"""
| 28.464286 | 78 | 0.690088 | """
Base class and common constants needed for pylmod tests
"""
import os
from unittest import TestCase
class BaseTest(TestCase):
"""
Base class with convenient constants and URL endpoints for pylmod testing.
"""
# This should be removed if we end up with common methods, but for
# now they are jus... | 0 | 0 | 0 | 669 | 0 | 0 | 0 | -4 | 67 |
f3d331fbd5da98d5b101c7b988080ae9e54c7c8e | 464 | py | Python | tests/proc_006.py | meisterluk/taptaptap3 | 6a377ae3f6ffd92a983a7f809132c9de20ed0d76 | [
"BSD-3-Clause"
] | null | null | null | tests/proc_006.py | meisterluk/taptaptap3 | 6a377ae3f6ffd92a983a7f809132c9de20ed0d76 | [
"BSD-3-Clause"
] | 2 | 2019-09-26T13:48:11.000Z | 2019-09-30T21:30:12.000Z | tests/proc_006.py | meisterluk/taptaptap3 | 6a377ae3f6ffd92a983a7f809132c9de20ed0d76 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
from taptaptap3.proc import plan, ok, out
plan(tests=10)
ok("Starting the program")
ok("Starting the engine")
ok("Find the object")
ok("Transport object to target")
ok("Check for existing fire")
ok("Place it beneath the desk")
ok("Search for fire extinguisher")
ok("Extinguish fire")
ok("Put fir... | 19.333333 | 41 | 0.685345 | #!/usr/bin/env python3
from taptaptap3.proc import plan, ok, out
plan(tests=10)
ok("Starting the program")
ok("Starting the engine")
ok("Find the object")
ok("Transport object to target")
ok("Check for existing fire")
ok("Place it beneath the desk")
ok("Search for fire extinguisher")
ok("Extinguish fire")
ok("Put fir... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8dad65aff74ff1e8d6b5e537733be0341ed93db9 | 784 | py | Python | tests/test_nag_max_min.py | daviddoret/pyxag | 6884c7e100d28c3ce6273248caa40eaeab920bc5 | [
"MIT"
] | 1 | 2019-10-27T15:56:27.000Z | 2019-10-27T15:56:27.000Z | tests/test_nag_max_min.py | daviddoret/pynag | 6884c7e100d28c3ce6273248caa40eaeab920bc5 | [
"MIT"
] | 11 | 2019-11-04T18:21:16.000Z | 2019-11-07T03:22:41.000Z | tests/test_nag_max_min.py | daviddoret/pynag | 6884c7e100d28c3ce6273248caa40eaeab920bc5 | [
"MIT"
] | null | null | null | import unittest
if __name__ == '__main__':
unittest.main() | 35.636364 | 73 | 0.628827 | import unittest
from classes.nag import Nag
class TestNagMaxMin(unittest.TestCase):
def test_more_complex_1(self):
nag = Nag('Test')
nag.set_nand('i1', 'i1', 'n1')
nag.set_nand('i1', 'i1', 'n2')
nag.set_nand('n1', 'n2', 'n3')
nag.set_nand('i1', 'n3', 'n4')
nag.set_n... | 0 | 0 | 0 | 670 | 0 | 0 | 0 | 6 | 45 |
e06289fab530f54b3cac133e2744cd2572babf70 | 6,475 | py | Python | tests/test_extract_features.py | stjordanis/vissl | 8800989f9bf073693b777c14ea01b585d4b306d6 | [
"MIT"
] | 1 | 2021-05-03T18:52:32.000Z | 2021-05-03T18:52:32.000Z | tests/test_extract_features.py | pzharrington/vissl | b647c256447af7ea66655811849be1f642377db8 | [
"MIT"
] | null | null | null | tests/test_extract_features.py | pzharrington/vissl | b647c256447af7ea66655811849be1f642377db8 | [
"MIT"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
| 49.05303 | 88 | 0.592432 | # Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import unittest
import torch
from hydra.experimental import compose, initialize_config_module
from vissl.utils.hydra_config import ... | 0 | 5,849 | 0 | 31 | 0 | 0 | 0 | 158 | 259 |
1789f865fff7494de4353119c0d168a977ab7de7 | 2,178 | py | Python | lab4/src/lab4_main.py | DemerzelSun12/HIT-2020-Fall-Machine-Learning-Labs | 294331af274e30caab7e8c5b8f910a1654b0f54f | [
"MIT"
] | null | null | null | lab4/src/lab4_main.py | DemerzelSun12/HIT-2020-Fall-Machine-Learning-Labs | 294331af274e30caab7e8c5b8f910a1654b0f54f | [
"MIT"
] | null | null | null | lab4/src/lab4_main.py | DemerzelSun12/HIT-2020-Fall-Machine-Learning-Labs | 294331af274e30caab7e8c5b8f910a1654b0f54f | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
main()
| 29.432432 | 80 | 0.667126 | from src.PCA import *
from src.generate_data import *
from src.generate_picture import *
from src.dimensionality_reduction_image import *
def test_pca(data):
generate_3_dimension_picture(data)
central_data, eig_vector, data_mean = PCA(data, 2).pca()
pca_data = np.dot(central_data, eig_vector)
generate... | 0 | 0 | 0 | 0 | 0 | 1,904 | 0 | 50 | 180 |
9eeabc98a8cf3c977f1c9739fce826a98ead06a5 | 10,652 | py | Python | src/scripts/collect_pose_data_pene_no_wall_big.py | yifan-you-37/omnihang | c80b699b2cf2cf3422201cc8c3fa572d0e01d5a2 | [
"MIT"
] | 1 | 2022-01-16T20:24:09.000Z | 2022-01-16T20:24:09.000Z | src/scripts/collect_pose_data_pene_no_wall_big.py | yifan-you-37/omnihang | c80b699b2cf2cf3422201cc8c3fa572d0e01d5a2 | [
"MIT"
] | null | null | null | src/scripts/collect_pose_data_pene_no_wall_big.py | yifan-you-37/omnihang | c80b699b2cf2cf3422201cc8c3fa572d0e01d5a2 | [
"MIT"
] | 1 | 2022-03-16T03:14:37.000Z | 2022-03-16T03:14:37.000Z | import pybullet
import numpy as np
# np.random.seed(5)
# random.seed(5)
import sys
import os
import argparse
sys.path.insert(1, '../utils/')
import bullet_client as bc
sys.path.insert(1, '../lin_my/')
from classifier_dataset_torch import ClassifierDataset
from scipy.spatial import KDTree
if __name__ == '__main__':
... | 39.306273 | 187 | 0.747747 | import pybullet
import time
import numpy as np
import random
# np.random.seed(5)
# random.seed(5)
import sys
import os
import argparse
import csv
from scipy.spatial.transform import Rotation
from collect_pose_data import PoseDataCollector
sys.path.insert(1, '../utils/')
from coord_helper import *
from data_helper im... | 0 | 0 | 0 | 2,752 | 0 | 1,647 | 0 | 38 | 271 |