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f720841a7564a5f85416ab65a54983fa155787e0 | 282 | py | Python | Seguranca/Ping/pingmultiplo.py | Luis12368/python | 23352d75ad13bcfd09ea85ab422fdc6ae1fcc5e7 | [
"MIT"
] | 1 | 2022-03-24T21:30:53.000Z | 2022-03-24T21:30:53.000Z | Seguranca-com-python/Ping/pingmultiplo.py | Luis12368/Bootcamp-Cognizant-Cloud-Data-Engineer | 789216a6fa76e4cb1336a73ed861bcf2e9d03751 | [
"MIT"
] | null | null | null | Seguranca-com-python/Ping/pingmultiplo.py | Luis12368/Bootcamp-Cognizant-Cloud-Data-Engineer | 789216a6fa76e4cb1336a73ed861bcf2e9d03751 | [
"MIT"
] | null | null | null | import os
import time
with open('hosts.txt') as file:
dump = file.read()
dump = dump.splitlines()
for ip in dump:
print("Verificando o IP", ip)
print("-" * 60)
os.system('ping -n 2 {}'.format(ip))
print("-" * 60)
time.sleep(5)
| 18.8 | 44 | 0.524823 | import os
import time
with open('hosts.txt') as file:
dump = file.read()
dump = dump.splitlines()
for ip in dump:
print("Verificando o IP", ip)
print("-" * 60)
os.system('ping -n 2 {}'.format(ip))
print("-" * 60)
time.sleep(5)
| true | true |
f72084785a53b5effc7e214a1463c10da25fda6e | 58,018 | py | Python | salt/utils/schema.py | johnskopis/salt | 86adb6b0fe40230b8be4c74229e897a7a08f81a6 | [
"Apache-2.0"
] | 2 | 2018-11-08T02:59:24.000Z | 2021-01-04T00:30:50.000Z | salt/utils/schema.py | johnskopis/salt | 86adb6b0fe40230b8be4c74229e897a7a08f81a6 | [
"Apache-2.0"
] | 4 | 2020-09-04T10:19:34.000Z | 2020-11-09T12:55:59.000Z | salt/utils/schema.py | johnskopis/salt | 86adb6b0fe40230b8be4c74229e897a7a08f81a6 | [
"Apache-2.0"
] | 5 | 2017-06-16T23:48:13.000Z | 2021-04-08T17:43:48.000Z | # -*- coding: utf-8 -*-
'''
:codeauthor: Pedro Algarvio (pedro@algarvio.me)
:codeauthor: Alexandru Bleotu (alexandru.bleotu@morganstanley.com)
salt.utils.schema
~~~~~~~~~~~~~~~~~
Object Oriented Configuration - JSON Schema compatible generator
This code was inspired by `jsl`__, "A Python DSL... | 36.466373 | 122 | 0.561688 |
from __future__ import absolute_import, print_function, unicode_literals
import sys
import inspect
import textwrap
import functools
import salt.utils.args
from salt.utils.odict import OrderedDict
from salt.ext import six
BASE_SCHEMA_URL = 'https://non-existing.saltstack.com/schemas'
RENDER_COMMENT_YAML_MAX_LINE... | true | true |
f720868bb7566cf137aaa7665b5dbd671fef24fb | 2,738 | py | Python | skfem/element/element_tet/element_tet_p2.py | carlosal1015/scikit-fem | 1e73a417e9b43fe0a36e29807792c41fa289b77d | [
"BSD-3-Clause"
] | null | null | null | skfem/element/element_tet/element_tet_p2.py | carlosal1015/scikit-fem | 1e73a417e9b43fe0a36e29807792c41fa289b77d | [
"BSD-3-Clause"
] | null | null | null | skfem/element/element_tet/element_tet_p2.py | carlosal1015/scikit-fem | 1e73a417e9b43fe0a36e29807792c41fa289b77d | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
from ..element_h1 import ElementH1
class ElementTetP2(ElementH1):
nodal_dofs = 1
edge_dofs = 1
dim = 3
maxdeg = 2
dofnames = ['u', 'u']
doflocs = np.array([[0., 0., 0.],
[1., 0., 0.],
[0., 1., 0.],
[0., ... | 27.38 | 62 | 0.233382 | import numpy as np
from ..element_h1 import ElementH1
class ElementTetP2(ElementH1):
nodal_dofs = 1
edge_dofs = 1
dim = 3
maxdeg = 2
dofnames = ['u', 'u']
doflocs = np.array([[0., 0., 0.],
[1., 0., 0.],
[0., 1., 0.],
[0., ... | true | true |
f720884f949f265d08ef7c4e59ff5312172239dc | 5,043 | py | Python | back/Hera/utils.py | pingPoltergeist/Hera | 519336cebbcf14ff3da6299e946407788121a0b7 | [
"MIT"
] | 1 | 2021-12-09T11:37:20.000Z | 2021-12-09T11:37:20.000Z | back/Hera/utils.py | pingPoltergeist/Hera | 519336cebbcf14ff3da6299e946407788121a0b7 | [
"MIT"
] | 1 | 2021-11-05T09:14:50.000Z | 2021-11-05T09:14:50.000Z | back/Hera/utils.py | pingPoltergeist/Hera | 519336cebbcf14ff3da6299e946407788121a0b7 | [
"MIT"
] | 2 | 2022-01-13T15:12:36.000Z | 2022-03-10T01:35:25.000Z | import traceback
from pathlib import Path
import hashlib
import yaml
def get_media_dirs(media_dir_stream):
result = dict()
movie_dir_map = dict()
for media_location in media_dir_stream[0].replace('\n', '').replace('\r', '').split(','):
movie_dir_map[hashlib.md5(media_location.encode('utf-8')).hexd... | 39.398438 | 112 | 0.584969 | import traceback
from pathlib import Path
import hashlib
import yaml
def get_media_dirs(media_dir_stream):
result = dict()
movie_dir_map = dict()
for media_location in media_dir_stream[0].replace('\n', '').replace('\r', '').split(','):
movie_dir_map[hashlib.md5(media_location.encode('utf-8')).hexd... | true | true |
f7208878a3eceaf4d90f7cc71177db7ce94487d3 | 6,366 | py | Python | son.py | nathanmartins/Son-Of-Anton | d45eec2b9263dbd981f468219c9d0fb049bd481d | [
"MIT"
] | null | null | null | son.py | nathanmartins/Son-Of-Anton | d45eec2b9263dbd981f468219c9d0fb049bd481d | [
"MIT"
] | null | null | null | son.py | nathanmartins/Son-Of-Anton | d45eec2b9263dbd981f468219c9d0fb049bd481d | [
"MIT"
] | null | null | null | import logging
import math
import os
import pickle
import re
import PIL.Image
import numpy as np
from mtcnn import MTCNN
from numpy import expand_dims
from sklearn import preprocessing, neighbors
from tensorflow_core.python.keras.models import load_model
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
DATASET_D... | 30.028302 | 112 | 0.600377 | import logging
import math
import os
import pickle
import re
import PIL.Image
import numpy as np
from mtcnn import MTCNN
from numpy import expand_dims
from sklearn import preprocessing, neighbors
from tensorflow_core.python.keras.models import load_model
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
DATASET_D... | true | true |
f72088a05bdf713d0b6f36ecd12b25eb950976d1 | 12,785 | py | Python | raiden/exceptions.py | luehrsFred/raiden | a1b118ebe14badb1acd0744b2d7f2b39f8ba5313 | [
"MIT"
] | null | null | null | raiden/exceptions.py | luehrsFred/raiden | a1b118ebe14badb1acd0744b2d7f2b39f8ba5313 | [
"MIT"
] | 69 | 2020-07-21T05:49:21.000Z | 2022-03-08T18:09:44.000Z | raiden/exceptions.py | luehrsFred/raiden | a1b118ebe14badb1acd0744b2d7f2b39f8ba5313 | [
"MIT"
] | null | null | null | """
What do you want from this file?
1. I need to look up when to raise what.
Then read on the docstrings.
2. I have to add a new exception.
Make sure you catch it somewhere. Sometimes you'll realize you cannot catch it.
Especially, if your new exception indicates bug in the Raiden codebase,
you are no... | 31.882793 | 97 | 0.732264 | import enum
from typing import Any, Dict, List
@enum.unique
class PFSError(enum.IntEnum):
INVALID_REQUEST = 2000
INVALID_SIGNATURE = 2001
REQUEST_OUTDATED = 2002
BAD_IOU = 2100
MISSING_IOU = 2101
WRONG_IOU_RECIPIENT = 2102
IOU_EXPIRED_TOO_EARLY = 2103
INSUFFICIENT_SER... | true | true |
f7208908dd0f530934afcd736f133ab23168b854 | 1,172 | py | Python | setup.py | njdanielsen/aws-data-wrangler | 5cdb316224370e952dfb3a701825e1b1ab331105 | [
"Apache-2.0"
] | null | null | null | setup.py | njdanielsen/aws-data-wrangler | 5cdb316224370e952dfb3a701825e1b1ab331105 | [
"Apache-2.0"
] | null | null | null | setup.py | njdanielsen/aws-data-wrangler | 5cdb316224370e952dfb3a701825e1b1ab331105 | [
"Apache-2.0"
] | null | null | null | import os
from io import open
from typing import Dict
from setuptools import find_packages, setup
here = os.path.abspath(os.path.dirname(__file__))
about: Dict[str, str] = {}
path = os.path.join(here, "awswrangler", "__metadata__.py")
with open(file=path, mode="r", encoding="utf-8") as f:
exec(f.read(), about)
w... | 31.675676 | 73 | 0.664676 | import os
from io import open
from typing import Dict
from setuptools import find_packages, setup
here = os.path.abspath(os.path.dirname(__file__))
about: Dict[str, str] = {}
path = os.path.join(here, "awswrangler", "__metadata__.py")
with open(file=path, mode="r", encoding="utf-8") as f:
exec(f.read(), about)
w... | true | true |
f72089bdffb1bfe66db8bea55840dc0bef158c5f | 18,291 | py | Python | sdk/network/azure-mgmt-network/azure/mgmt/network/v2019_12_01/operations/_web_application_firewall_policies_operations.py | iscai-msft/azure-sdk-for-python | 83715b95c41e519d5be7f1180195e2fba136fc0f | [
"MIT"
] | 1 | 2020-05-12T23:29:15.000Z | 2020-05-12T23:29:15.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2019_12_01/operations/_web_application_firewall_policies_operations.py | iscai-msft/azure-sdk-for-python | 83715b95c41e519d5be7f1180195e2fba136fc0f | [
"MIT"
] | 226 | 2019-07-24T07:57:21.000Z | 2019-10-15T01:07:24.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2019_12_01/operations/_web_application_firewall_policies_operations.py | iscai-msft/azure-sdk-for-python | 83715b95c41e519d5be7f1180195e2fba136fc0f | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 46.780051 | 199 | 0.668526 |
import uuid
from msrest.pipeline import ClientRawResponse
from msrestazure.azure_exceptions import CloudError
from msrest.polling import LROPoller, NoPolling
from msrestazure.polling.arm_polling import ARMPolling
from .. import models
class WebApplicationFirewallPoliciesOperations(object):
models = m... | true | true |
f7208a0bce6ed5a17f46fdcb513416605ec0135f | 3,249 | py | Python | cfgov/v1/models/browse_page.py | atuggle/cfgov-refresh | 5a9cfd92b460b9be7befb39f5845abf56857aeac | [
"CC0-1.0"
] | null | null | null | cfgov/v1/models/browse_page.py | atuggle/cfgov-refresh | 5a9cfd92b460b9be7befb39f5845abf56857aeac | [
"CC0-1.0"
] | 1 | 2016-09-14T21:11:19.000Z | 2016-09-14T21:11:19.000Z | cfgov/v1/models/browse_page.py | atuggle/cfgov-refresh | 5a9cfd92b460b9be7befb39f5845abf56857aeac | [
"CC0-1.0"
] | null | null | null | from django.db import models
from wagtail.wagtailadmin.edit_handlers import (
FieldPanel, ObjectList, StreamFieldPanel, TabbedInterface
)
from wagtail.wagtailcore import blocks
from wagtail.wagtailcore.fields import StreamField
from wagtail.wagtailcore.models import PageManager
from data_research.blocks import (
... | 37.77907 | 79 | 0.6996 | from django.db import models
from wagtail.wagtailadmin.edit_handlers import (
FieldPanel, ObjectList, StreamFieldPanel, TabbedInterface
)
from wagtail.wagtailcore import blocks
from wagtail.wagtailcore.fields import StreamField
from wagtail.wagtailcore.models import PageManager
from data_research.blocks import (
... | true | true |
f7208bc906110bb2c8cae40a156edcf4c7547c8c | 7,727 | py | Python | plugins/opencv/src/opencv/__init__.py | IGx89/scrypted | 577b00a090393f31aaa81de67f5fd4555995921a | [
"MIT"
] | null | null | null | plugins/opencv/src/opencv/__init__.py | IGx89/scrypted | 577b00a090393f31aaa81de67f5fd4555995921a | [
"MIT"
] | null | null | null | plugins/opencv/src/opencv/__init__.py | IGx89/scrypted | 577b00a090393f31aaa81de67f5fd4555995921a | [
"MIT"
] | null | null | null | from __future__ import annotations
from time import sleep
from detect import DetectionSession, DetectPlugin
from typing import Any, List
import numpy as np
import cv2
import imutils
from gi.repository import GLib, Gst
from scrypted_sdk.types import ObjectDetectionModel, ObjectDetectionResult, ObjectsDetected
class Ope... | 38.442786 | 184 | 0.608645 | from __future__ import annotations
from time import sleep
from detect import DetectionSession, DetectPlugin
from typing import Any, List
import numpy as np
import cv2
import imutils
from gi.repository import GLib, Gst
from scrypted_sdk.types import ObjectDetectionModel, ObjectDetectionResult, ObjectsDetected
class Ope... | true | true |
f7208be42fc87aa1346f3bb00981d1c67e5429aa | 1,457 | py | Python | manager.py | Hugh-wong/hydra | 5f2c4770e655d41d3c535f6e3c29ec4848d5d60e | [
"MIT"
] | 3 | 2017-02-03T01:44:30.000Z | 2019-02-27T12:00:00.000Z | manager.py | Hugh-wong/hydra | 5f2c4770e655d41d3c535f6e3c29ec4848d5d60e | [
"MIT"
] | null | null | null | manager.py | Hugh-wong/hydra | 5f2c4770e655d41d3c535f6e3c29ec4848d5d60e | [
"MIT"
] | 1 | 2021-07-12T07:41:07.000Z | 2021-07-12T07:41:07.000Z | # coding=utf-8
import sys
import signal
import time
from multiprocessing import Process
from allocator import Allocator, Event
class Manager(object):
"""A manager manage multi allocators, when told to stop, manager would tell the allocator to stop."""
def __init__(self, cfg_list):
self.allocator_li... | 28.019231 | 105 | 0.617021 |
import sys
import signal
import time
from multiprocessing import Process
from allocator import Allocator, Event
class Manager(object):
def __init__(self, cfg_list):
self.allocator_list = []
self.event_list = []
for cfg in cfg_list:
event = Event()
cfg.update({'p... | true | true |
f7208c7f6012bde16b47b8b7a1531f00d2196076 | 1,084 | py | Python | tests/test_creational/test_prototype.py | smartlegionlab/python-patterns | be898272e4358fa2e60ed9f61ce5ed10aa367e77 | [
"BSD-3-Clause"
] | 2 | 2021-11-17T21:35:49.000Z | 2022-02-09T16:47:20.000Z | tests/test_creational/test_prototype.py | smartlegionlab/python-patterns | be898272e4358fa2e60ed9f61ce5ed10aa367e77 | [
"BSD-3-Clause"
] | null | null | null | tests/test_creational/test_prototype.py | smartlegionlab/python-patterns | be898272e4358fa2e60ed9f61ce5ed10aa367e77 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# --------------------------------------------------------
# Licensed under the terms of the BSD 3-Clause License
# (see LICENSE for details).
# Copyright © 2018-2021, A.A Suvorov
# All rights reserved.
# --------------------------------------------------------
"""Tests prototype.py"""
from patt... | 33.875 | 58 | 0.580258 |
from patterns.creational.prototype import Bird
class TestPrototype:
def test_register(self, prototype, bird):
prototype.register('Bird', bird)
assert 'Bird' in prototype._objects
def test_unregister(self, prototype, bird):
prototype.register('Bird', bird)
prototype.unre... | true | true |
f7208ce7bbb8661f4bd13d02bdc81b7510d9775a | 195 | py | Python | Demo/log/example_log_error_file.py | quecpython/EC100Y-SDK | 712c7eb7b54a3971009d94f6d6b21a6011d56f68 | [
"MIT"
] | 4 | 2021-01-28T01:30:59.000Z | 2021-06-15T07:13:41.000Z | Demo/log/example_log_error_file.py | QuePython/EC100Y-SDK | 712c7eb7b54a3971009d94f6d6b21a6011d56f68 | [
"MIT"
] | null | null | null | Demo/log/example_log_error_file.py | QuePython/EC100Y-SDK | 712c7eb7b54a3971009d94f6d6b21a6011d56f68 | [
"MIT"
] | 3 | 2021-04-07T09:55:59.000Z | 2022-01-08T15:15:23.000Z | import log
log.basicConfig(level=log.ERROR) # 设置日志输出级别
# 获取logger对象，如果不指定name则返回root对象，多次使用相同的name调用getLogger方法返回同一个logger对象
log = log.getLogger("error")
log.error("Test error message!!")
| 21.666667 | 69 | 0.784615 | import log
log.basicConfig(level=log.ERROR)
log = log.getLogger("error")
log.error("Test error message!!")
| true | true |
f7208d45b1bd9c79cf4bba8f873334a67415881d | 2,026 | py | Python | Python3_Data_Structure/32_Python_Amortized_Analysis/00_Python_PAA.py | jmmedel/Python3-Data-Structure-References | 3a607da2b67b5b80810d7084339e0602288c4f6b | [
"MIT"
] | null | null | null | Python3_Data_Structure/32_Python_Amortized_Analysis/00_Python_PAA.py | jmmedel/Python3-Data-Structure-References | 3a607da2b67b5b80810d7084339e0602288c4f6b | [
"MIT"
] | null | null | null | Python3_Data_Structure/32_Python_Amortized_Analysis/00_Python_PAA.py | jmmedel/Python3-Data-Structure-References | 3a607da2b67b5b80810d7084339e0602288c4f6b | [
"MIT"
] | null | null | null |
"""
Python - Amortized Analysis
Amortized analysis involves estimating the run time for the sequence of operations in a program without taking into consideration the span of the data distribution in the input values. A simple example is finding a value in a sorted list is quicker than in an unsorted list. If the l... | 106.631579 | 595 | 0.80306 | true | true | |
f7208d73df1d4b1e754b10c36ce77d84bdc0b130 | 7,009 | py | Python | loadgen/generate_load.py | hythloda/ecommerce-demo | 83d23475677d546db59879452f3e388581ab88de | [
"Apache-2.0"
] | null | null | null | loadgen/generate_load.py | hythloda/ecommerce-demo | 83d23475677d546db59879452f3e388581ab88de | [
"Apache-2.0"
] | null | null | null | loadgen/generate_load.py | hythloda/ecommerce-demo | 83d23475677d546db59879452f3e388581ab88de | [
"Apache-2.0"
] | null | null | null | import barnum, random, time, json, requests, math, os
from mysql.connector import connect, Error
from kafka import KafkaProducer
# CONFIG
userSeedCount = 10000
itemSeedCount = 1000
purchaseGenCount = 500000
purchaseGenEveryMS = 100
pageviewMultiplier = 75 # Translates to 75x purchases, currently 750/... | 40.75 | 171 | 0.541304 | import barnum, random, time, json, requests, math, os
from mysql.connector import connect, Error
from kafka import KafkaProducer
userSeedCount = 10000
itemSeedCount = 1000
purchaseGenCount = 500000
purchaseGenEveryMS = 100
pageviewMultiplier = 75
itemInventoryMin = 1000
itemInventoryMax = 5000
... | true | true |
f7208e835090cc50acccc601a70a34153f65abaf | 549 | py | Python | gcn/lp.py | liqimai/GraphConvForSSL | ef94a897292275680b1058685f2de9d4a8a6449c | [
"MIT"
] | 74 | 2019-04-09T11:53:27.000Z | 2022-03-24T09:22:30.000Z | gcn/lp.py | liqimai/GraphConvForSSL | ef94a897292275680b1058685f2de9d4a8a6449c | [
"MIT"
] | 4 | 2019-07-11T08:47:29.000Z | 2020-06-15T03:19:31.000Z | gcn/lp.py | liqimai/GraphConvForSSL | ef94a897292275680b1058685f2de9d4a8a6449c | [
"MIT"
] | 16 | 2019-04-15T16:20:07.000Z | 2022-03-07T08:42:26.000Z | import numpy as np
from gcn.graphconv import ap_approximate
def Model17(adj, alpha, y_train, y_test):
k = int(np.ceil(4 * alpha))
prediction, time = ap_approximate(adj, y_train, alpha, k)
predicted_labels = np.argmax(prediction, axis=1)
prediction = np.zeros(prediction.shape)
prediction[np.arange(... | 36.6 | 84 | 0.717668 | import numpy as np
from gcn.graphconv import ap_approximate
def Model17(adj, alpha, y_train, y_test):
k = int(np.ceil(4 * alpha))
prediction, time = ap_approximate(adj, y_train, alpha, k)
predicted_labels = np.argmax(prediction, axis=1)
prediction = np.zeros(prediction.shape)
prediction[np.arange(... | true | true |
f7208e8a4a26e682a31e9e84d47b5e97601f74d8 | 173 | py | Python | learning_greek/signals.py | lucafavatella/learning-greek | b29a96668992823e2ec89547b6c82fbbbb9af9f3 | [
"MIT"
] | 10 | 2015-04-10T06:35:01.000Z | 2021-07-19T01:40:22.000Z | learning_greek/signals.py | lucafavatella/learning-greek | b29a96668992823e2ec89547b6c82fbbbb9af9f3 | [
"MIT"
] | 16 | 2015-02-08T16:39:01.000Z | 2018-06-10T16:14:44.000Z | learning_greek/signals.py | lucafavatella/learning-greek | b29a96668992823e2ec89547b6c82fbbbb9af9f3 | [
"MIT"
] | 6 | 2015-02-12T18:56:40.000Z | 2020-10-11T18:59:37.000Z | import django.dispatch
adoption_level_change = django.dispatch.Signal(providing_args=["level", "request"])
blurb_read = django.dispatch.Signal(providing_args=["request"])
| 28.833333 | 83 | 0.797688 | import django.dispatch
adoption_level_change = django.dispatch.Signal(providing_args=["level", "request"])
blurb_read = django.dispatch.Signal(providing_args=["request"])
| true | true |
f7208edc797411262aa09c8538bfe7878909fc92 | 1,273 | py | Python | test/test_sync_reports_rotate.py | Atomicology/isilon_sdk_python | 91039da803ae37ed4abf8d2a3f59c333f3ef1866 | [
"MIT"
] | null | null | null | test/test_sync_reports_rotate.py | Atomicology/isilon_sdk_python | 91039da803ae37ed4abf8d2a3f59c333f3ef1866 | [
"MIT"
] | null | null | null | test/test_sync_reports_rotate.py | Atomicology/isilon_sdk_python | 91039da803ae37ed4abf8d2a3f59c333f3ef1866 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Copyright 2016 SmartBear Software
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable l... | 25.979592 | 77 | 0.735271 |
from __future__ import absolute_import
import os
import sys
import unittest
import swagger_client
from swagger_client.rest import ApiException
from swagger_client.models.sync_reports_rotate import SyncReportsRotate
class TestSyncReportsRotate(unittest.TestCase):
def setUp(self):
pass
def tearDo... | true | true |
f7208fe4ecb7d3a8e41c130280425906b33dd803 | 47,072 | py | Python | BioSTEAM 2.x.x/biorefineries/TAL/system_TAL_glucose.py | yoelcortes/Bioindustrial-Complex | d39edfec88e443ef7a62218ca0215e3b105f4b96 | [
"MIT"
] | 2 | 2020-01-03T21:04:41.000Z | 2020-01-09T01:15:48.000Z | BioSTEAM 2.x.x/biorefineries/TAL/system_TAL_glucose.py | yoelcortes/Bioindustrial-Complex | d39edfec88e443ef7a62218ca0215e3b105f4b96 | [
"MIT"
] | 6 | 2020-01-03T21:31:27.000Z | 2020-02-28T13:53:56.000Z | BioSTEAM 2.x.x/biorefineries/TAL/system_TAL_glucose.py | yoelcortes/Bioindustrial-Complex | d39edfec88e443ef7a62218ca0215e3b105f4b96 | [
"MIT"
] | 2 | 2020-01-07T14:04:06.000Z | 2020-01-08T23:05:25.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Bioindustrial-Park: BioSTEAM's Premier Biorefinery Models and Results
# Copyright (C) 2022-2023, Sarang Bhagwat <sarangb2@illinois.edu> (this biorefinery)
#
# This module is under the UIUC open-source license. See
# github.com/BioSTEAMDevelopmentGroup/biosteam/blob/mas... | 42.560579 | 252 | 0.574312 |
# Copyright (C) 2022-2023, Sarang Bhagwat <sarangb2@illinois.edu> (this biorefinery)
#
# This module is under the UIUC open-source license. See
# github.com/BioSTEAMDevelopmentGroup/biosteam/blob/master/LICENSE.txt
# for license details.
# %% Setup
import biosteam as bst
import thermosteam as tmo
import flexso... | true | true |
f720915b2ad6e84b10d393f7c627605ab0f69c7f | 2,018 | py | Python | tools/Polygraphy/polygraphy/config.py | spradius/TensorRT | eb5de99b523c76c2f3ae997855ad86d3a1e86a31 | [
"Apache-2.0"
] | 1 | 2021-08-23T01:15:16.000Z | 2021-08-23T01:15:16.000Z | tools/Polygraphy/polygraphy/config.py | spradius/TensorRT | eb5de99b523c76c2f3ae997855ad86d3a1e86a31 | [
"Apache-2.0"
] | null | null | null | tools/Polygraphy/polygraphy/config.py | spradius/TensorRT | eb5de99b523c76c2f3ae997855ad86d3a1e86a31 | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | 43.869565 | 109 | 0.77552 |
import os
import sys
INTERNAL_CORRECTNESS_CHECKS = bool(os.environ.get("POLYGRAPHY_INTERNAL_CORRECTNESS_CHECKS", "0") != "0")
AUTOINSTALL_DEPS = bool(os.environ.get("POLYGRAPHY_AUTOINSTALL_DEPS", "0") != "0")
INSTALL_CMD = os.environ.get("POLYGRAPHY_INSTALL_CMD", "{:} -m pip install".format(sys.execut... | true | true |
f720930247112fff9273c3101072dae9279f6fa7 | 4,606 | py | Python | tasks/trace_agent.py | charyveer75/datadog-agent | fdf4d2028b0dccd485eb280f4fefda84931927bc | [
"Apache-2.0"
] | 2 | 2020-02-11T16:05:23.000Z | 2022-03-30T19:50:28.000Z | tasks/trace_agent.py | charyveer75/datadog-agent | fdf4d2028b0dccd485eb280f4fefda84931927bc | [
"Apache-2.0"
] | 2 | 2021-08-11T15:24:27.000Z | 2021-08-23T22:13:05.000Z | tasks/trace_agent.py | charyveer75/datadog-agent | fdf4d2028b0dccd485eb280f4fefda84931927bc | [
"Apache-2.0"
] | null | null | null | import os
import sys
import shutil
import invoke
from invoke import task
from .utils import bin_name, get_build_flags, get_version_numeric_only, load_release_versions
from .utils import REPO_PATH
from .build_tags import get_build_tags, get_default_build_tags, LINUX_ONLY_TAGS, REDHAT_AND_DEBIAN_ONLY_TAGS, REDHAT_AND_D... | 35.430769 | 230 | 0.650673 | import os
import sys
import shutil
import invoke
from invoke import task
from .utils import bin_name, get_build_flags, get_version_numeric_only, load_release_versions
from .utils import REPO_PATH
from .build_tags import get_build_tags, get_default_build_tags, LINUX_ONLY_TAGS, REDHAT_AND_DEBIAN_ONLY_TAGS, REDHAT_AND_D... | true | true |
f7209497e72c208305cb4e1cce93a790ea4e4114 | 328 | py | Python | emoji_chengyu/main.py | alingse/emoji-chengyu | 2d4436212c1d2899dfc12a1c965ea2ddce9a4aab | [
"MIT"
] | 3 | 2020-04-28T03:25:36.000Z | 2022-01-24T04:52:01.000Z | emoji_chengyu/main.py | alingse/emoji-chengyu | 2d4436212c1d2899dfc12a1c965ea2ddce9a4aab | [
"MIT"
] | null | null | null | emoji_chengyu/main.py | alingse/emoji-chengyu | 2d4436212c1d2899dfc12a1c965ea2ddce9a4aab | [
"MIT"
] | 1 | 2020-04-28T03:25:49.000Z | 2020-04-28T03:25:49.000Z | import itertools
from emoji_chengyu.puzzle import gen_puzzle
def emoji_chengyu():
N = 100
pg = gen_puzzle()
puzzles = list(itertools.islice(pg, N))
puzzles.sort(key=lambda p: sum(p.mask), reverse=True)
M = 20
for puzzle in puzzles[:M]:
print(''.join(puzzle.puzzle), puzzle.chengyu_ite... | 21.866667 | 63 | 0.670732 | import itertools
from emoji_chengyu.puzzle import gen_puzzle
def emoji_chengyu():
N = 100
pg = gen_puzzle()
puzzles = list(itertools.islice(pg, N))
puzzles.sort(key=lambda p: sum(p.mask), reverse=True)
M = 20
for puzzle in puzzles[:M]:
print(''.join(puzzle.puzzle), puzzle.chengyu_ite... | true | true |
f72094b30996c32bb9a24f3c3252221bebecd3fa | 2,378 | py | Python | tests/technical_ratio_test.py | bopo/mooquant | 244a87d4cd8b4d918eec4f16905e0921c3b39f50 | [
"Apache-2.0"
] | 21 | 2017-09-07T16:08:21.000Z | 2020-10-15T13:42:21.000Z | tests/technical_ratio_test.py | bopo/MooQuant | 244a87d4cd8b4d918eec4f16905e0921c3b39f50 | [
"Apache-2.0"
] | 209 | 2018-10-09T11:57:39.000Z | 2021-03-25T21:40:30.000Z | tests/technical_ratio_test.py | bopo/MooQuant | 244a87d4cd8b4d918eec4f16905e0921c3b39f50 | [
"Apache-2.0"
] | 15 | 2018-11-17T20:14:37.000Z | 2022-02-04T23:55:29.000Z | # -*- coding: utf-8 -*-
# MooQuant
#
# Copyright 2011-2015 Gabriel Martin Becedillas Ruiz
#
# 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
#
# ... | 30.883117 | 79 | 0.647603 |
from mooquant import dataseries
from mooquant.technical import ratio
from . import common
class TestCase(common.TestCase):
def __buildRatio(self, values, ratioMaxLen=None):
seqDS = dataseries.SequenceDataSeries()
ret = ratio.Ratio(seqDS, ratioMaxLen)
for value in values... | true | true |
f72094fcc0eabe24153127ed8f8cfab3259c6ceb | 1,247 | py | Python | IRIS_data_download/IRIS_download_support/obspy/io/segy/util.py | earthinversion/Fnet_IRIS_data_automated_download | 09a6e0c992662feac95744935e038d1c68539fa1 | [
"MIT"
] | 2 | 2020-03-05T01:03:01.000Z | 2020-12-17T05:04:07.000Z | IRIS_data_download/IRIS_download_support/obspy/io/segy/util.py | earthinversion/Fnet_IRIS_data_automated_download | 09a6e0c992662feac95744935e038d1c68539fa1 | [
"MIT"
] | 4 | 2021-03-31T19:25:55.000Z | 2021-12-13T20:32:46.000Z | IRIS_data_download/IRIS_download_support/obspy/io/segy/util.py | earthinversion/Fnet_IRIS_data_automated_download | 09a6e0c992662feac95744935e038d1c68539fa1 | [
"MIT"
] | 2 | 2020-09-08T19:33:40.000Z | 2021-04-05T09:47:50.000Z | # -*- coding: utf-8 -*-
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from future.builtins import * # NOQA
from struct import unpack
from obspy.core.util.libnames import _load_cdll
# Import shared libsegy
clibsegy = _load_cdll("segy")
def unpack_head... | 31.974359 | 75 | 0.652767 |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from future.builtins import *
from struct import unpack
from obspy.core.util.libnames import _load_cdll
clibsegy = _load_cdll("segy")
def unpack_header_value(endian, packed_value, length, special_forma... | true | true |
f72095d4a18d4936ed6471f607ee84100d63dad6 | 2,845 | py | Python | MMLanScan/Data/build_port_services_list.py | cyb3rc/MMLanScan | 60cf1cb9476bad8ee522780ce4df5513a139f47d | [
"MIT"
] | null | null | null | MMLanScan/Data/build_port_services_list.py | cyb3rc/MMLanScan | 60cf1cb9476bad8ee522780ce4df5513a139f47d | [
"MIT"
] | null | null | null | MMLanScan/Data/build_port_services_list.py | cyb3rc/MMLanScan | 60cf1cb9476bad8ee522780ce4df5513a139f47d | [
"MIT"
] | null | null | null | #!/usr/bin/python
import urllib2
import xml.etree.ElementTree as ElementTree
import re
def refine_table(table):
result = table
result = re.sub(r"<td.*?>", "<td>", result)
result = re.sub(r"<tr.*?>", "<tr>", result)
result = re.sub(r"<a.*?>(.*?)</a>", "\\1", result)
result = re.sub(r"<span.*?>(.*?)... | 31.611111 | 115 | 0.518102 |
import urllib2
import xml.etree.ElementTree as ElementTree
import re
def refine_table(table):
result = table
result = re.sub(r"<td.*?>", "<td>", result)
result = re.sub(r"<tr.*?>", "<tr>", result)
result = re.sub(r"<a.*?>(.*?)</a>", "\\1", result)
result = re.sub(r"<span.*?>(.*?)</span>", "\\1", ... | true | true |
f72095f560d4de6eaf24da310f2f00ce19300c51 | 4,718 | py | Python | API/content/views.py | kasimbozdag/SWE_573 | 4bce24f98fe6980b1f2c83196b8454b56118186b | [
"MIT"
] | null | null | null | API/content/views.py | kasimbozdag/SWE_573 | 4bce24f98fe6980b1f2c83196b8454b56118186b | [
"MIT"
] | 52 | 2019-02-19T10:43:11.000Z | 2022-02-10T10:36:37.000Z | API/content/views.py | kasimbozdag/SWE_573 | 4bce24f98fe6980b1f2c83196b8454b56118186b | [
"MIT"
] | null | null | null | import datetime
from django.shortcuts import render, get_object_or_404
# Create your views here.
from rest_framework.generics import ListAPIView
from rest_framework.response import Response
from rest_framework.status import HTTP_200_OK
from rest_framework.views import APIView
from content.models import Content
from ... | 35.473684 | 116 | 0.652183 | import datetime
from django.shortcuts import render, get_object_or_404
from rest_framework.generics import ListAPIView
from rest_framework.response import Response
from rest_framework.status import HTTP_200_OK
from rest_framework.views import APIView
from content.models import Content
from content.serializers impor... | true | true |
f72095f7242e0943bddfcfc8d4c0d806cf6d4b17 | 1,274 | py | Python | build/lib/elang/plot/utils/embedding.py | onlyphantom/elangdev | bdb80e10e98f98ef6510c313cda55daf9464d5c4 | [
"CC0-1.0"
] | 5 | 2020-02-26T15:05:47.000Z | 2022-01-25T01:15:27.000Z | build/lib/elang/plot/utils/embedding.py | onlyphantom/elangdev | bdb80e10e98f98ef6510c313cda55daf9464d5c4 | [
"CC0-1.0"
] | null | null | null | build/lib/elang/plot/utils/embedding.py | onlyphantom/elangdev | bdb80e10e98f98ef6510c313cda55daf9464d5c4 | [
"CC0-1.0"
] | 1 | 2020-02-13T08:14:11.000Z | 2020-02-13T08:14:11.000Z | import sys, os.path
import gensim
from gensim.models import Word2Vec
import numpy as np
import matplotlib.pyplot as plt
from sklearn.decomposition import PCA
def plot2d_demo(model, words=None):
assert (
model.vector_size >= 2
), "This function expects a model of size 2 (2-dimension word vectors) or h... | 28.311111 | 86 | 0.625589 | import sys, os.path
import gensim
from gensim.models import Word2Vec
import numpy as np
import matplotlib.pyplot as plt
from sklearn.decomposition import PCA
def plot2d_demo(model, words=None):
assert (
model.vector_size >= 2
), "This function expects a model of size 2 (2-dimension word vectors) or h... | true | true |
f720966df99b4facf9ee616398c70c34a8e38598 | 49,071 | py | Python | tensorflow/python/data/experimental/kernel_tests/snapshot_test.py | weikhor/tensorflow | ce047fc05c7b5ff54868ba53d724d9c171c4adbb | [
"Apache-2.0"
] | 10 | 2021-05-25T17:43:04.000Z | 2022-03-08T10:46:09.000Z | tensorflow/python/data/experimental/kernel_tests/snapshot_test.py | weikhor/tensorflow | ce047fc05c7b5ff54868ba53d724d9c171c4adbb | [
"Apache-2.0"
] | 1,056 | 2019-12-15T01:20:31.000Z | 2022-02-10T02:06:28.000Z | tensorflow/python/data/experimental/kernel_tests/snapshot_test.py | weikhor/tensorflow | ce047fc05c7b5ff54868ba53d724d9c171c4adbb | [
"Apache-2.0"
] | 6 | 2016-09-07T04:00:15.000Z | 2022-01-12T01:47:38.000Z | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 37.834233 | 82 | 0.708259 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import multiprocessing
import os
import shutil
import time
from absl.testing import parameterized
import numpy as np
from tensorflow.python.data.experimental.ops import snapshot
from tensorflow.... | true | true |
f720977f63fc56cdf8a97938eefdecd9ebe62107 | 651 | py | Python | src/prereq/exercise8.py | kradical/cluster-analysis-udemy | e2101bdb08ae3b9ed0ed8c4c1c488e3a75a1b7c5 | [
"MIT"
] | null | null | null | src/prereq/exercise8.py | kradical/cluster-analysis-udemy | e2101bdb08ae3b9ed0ed8c4c1c488e3a75a1b7c5 | [
"MIT"
] | null | null | null | src/prereq/exercise8.py | kradical/cluster-analysis-udemy | e2101bdb08ae3b9ed0ed8c4c1c488e3a75a1b7c5 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
# Plot a spiral dataset
def generateArm(rotation, step):
theta = np.random.rand(500) * step
r = np.exp(theta) - 1
x = r * np.cos(theta) + (np.random.rand(500) - 0.5) / 7
y = r * np.sin(theta) + (np.random.rand(500) - 0.5) / 7
x, y = x * np.cos(r... | 20.34375 | 99 | 0.563748 | import numpy as np
import matplotlib.pyplot as plt
def generateArm(rotation, step):
theta = np.random.rand(500) * step
r = np.exp(theta) - 1
x = r * np.cos(theta) + (np.random.rand(500) - 0.5) / 7
y = r * np.sin(theta) + (np.random.rand(500) - 0.5) / 7
x, y = x * np.cos(rotation) - y * np.sin(r... | true | true |
f7209acf0f181cb1058d455de2841e729f3c8cd5 | 3,798 | py | Python | mlops/parallelm/mlops/stats/health/categorical_hist_stat.py | lisapm/mlpiper | 74ad5ae343d364682cc2f8aaa007f2e8a1d84929 | [
"Apache-2.0"
] | 7 | 2019-04-08T02:31:55.000Z | 2021-11-15T14:40:49.000Z | mlops/parallelm/mlops/stats/health/categorical_hist_stat.py | lisapm/mlpiper | 74ad5ae343d364682cc2f8aaa007f2e8a1d84929 | [
"Apache-2.0"
] | 31 | 2019-02-22T22:23:26.000Z | 2021-08-02T17:17:06.000Z | mlops/parallelm/mlops/stats/health/categorical_hist_stat.py | lisapm/mlpiper | 74ad5ae343d364682cc2f8aaa007f2e8a1d84929 | [
"Apache-2.0"
] | 8 | 2019-03-15T23:46:08.000Z | 2020-02-06T09:16:02.000Z | """
The Code contains functions to calculate univariate statistics for categorical features, given a dataset.
"""
import numpy as np
from parallelm.mlops.stats.health.histogram_data_objects import CategoricalHistogramDataObject
class CategoricalHistogram(object):
"""
Class is responsible for providing fit ... | 42.2 | 145 | 0.645076 |
import numpy as np
from parallelm.mlops.stats.health.histogram_data_objects import CategoricalHistogramDataObject
class CategoricalHistogram(object):
def __init__(self):
self._prob_dist_categorical = []
self._features = []
def fit(self, training_feature_values, training_feature_n... | true | true |
f7209b17100218a42c80c8e984c08597d630b188 | 47 | py | Python | odoo-13.0/myaddons/SCM/__init__.py | VaibhavBhujade/Blockchain-ERP-interoperability | b5190a037fb6615386f7cbad024d51b0abd4ba03 | [
"MIT"
] | 181 | 2016-11-11T04:39:43.000Z | 2022-03-14T21:17:19.000Z | odoo-13.0/myaddons/SCM/__init__.py | VaibhavBhujade/Blockchain-ERP-interoperability | b5190a037fb6615386f7cbad024d51b0abd4ba03 | [
"MIT"
] | 899 | 2016-11-14T02:42:56.000Z | 2022-03-29T20:47:39.000Z | odoo-13.0/myaddons/SCM/__init__.py | VaibhavBhujade/Blockchain-ERP-interoperability | b5190a037fb6615386f7cbad024d51b0abd4ba03 | [
"MIT"
] | 227 | 2016-11-10T17:16:59.000Z | 2022-03-26T16:46:38.000Z | from . import models
from . import controllers
| 15.666667 | 25 | 0.787234 | from . import models
from . import controllers
| true | true |
f7209b3cfc5d5bd59dca31198344266661bee81a | 94 | py | Python | vaccine_card/api/apps.py | Unanimad/lais_046_2020_etapa_2 | 630efc6b25a580be44b6cd50be6744a01221a2c4 | [
"Apache-2.0"
] | null | null | null | vaccine_card/api/apps.py | Unanimad/lais_046_2020_etapa_2 | 630efc6b25a580be44b6cd50be6744a01221a2c4 | [
"Apache-2.0"
] | null | null | null | vaccine_card/api/apps.py | Unanimad/lais_046_2020_etapa_2 | 630efc6b25a580be44b6cd50be6744a01221a2c4 | [
"Apache-2.0"
] | null | null | null | from django.apps import AppConfig
class ApiConfig(AppConfig):
name = 'vaccine_card.api'
| 15.666667 | 33 | 0.755319 | from django.apps import AppConfig
class ApiConfig(AppConfig):
name = 'vaccine_card.api'
| true | true |
f7209bc8e13eb725ec7ffbe1187a20a64ae43a57 | 3,850 | py | Python | EWR/ab6_v2/Sort.py | Koopakiller/Edu | 575c43dae24a4432e8c8fb2eda96e948cc33ec32 | [
"MIT"
] | null | null | null | EWR/ab6_v2/Sort.py | Koopakiller/Edu | 575c43dae24a4432e8c8fb2eda96e948cc33ec32 | [
"MIT"
] | null | null | null | EWR/ab6_v2/Sort.py | Koopakiller/Edu | 575c43dae24a4432e8c8fb2eda96e948cc33ec32 | [
"MIT"
] | null | null | null | # coding=utf-8
# Author: Tom Lambert
# Content: Implementierung der Sort-Klasse für ab6.
class Sort(object):
"""Implementiert Sortier-Algorithmen mit der Möglichkeit einer statistischen Auswertung"""
def __init__(self):
self.counter_swap = 0 # entspricht ca 2 Elementabrufen und 2 Elementzuweisungen
... | 38.118812 | 103 | 0.562857 |
class Sort(object):
def __init__(self):
self.counter_swap = 0
self.counter_list_item_assignment = 0
self.counter_item_compare = 0
self.counter_get_item_from_list = 0
self.counter_add_item_to_result_list = 0
self.counter_recursive_call = 0
self.counter_... | true | true |
f7209bcc24d3c78f312379c3537a4b94dc7b13db | 436 | py | Python | packages/python/plotly/plotly/validators/icicle/marker/colorbar/_tickangle.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/validators/icicle/marker/colorbar/_tickangle.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/validators/icicle/marker/colorbar/_tickangle.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | import _plotly_utils.basevalidators
class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
def __init__(
self, plotly_name="tickangle", parent_name="icicle.marker.colorbar", **kwargs
):
super(TickangleValidator, self).__init__(
plotly_name=plotly_name,
p... | 31.142857 | 85 | 0.665138 | import _plotly_utils.basevalidators
class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
def __init__(
self, plotly_name="tickangle", parent_name="icicle.marker.colorbar", **kwargs
):
super(TickangleValidator, self).__init__(
plotly_name=plotly_name,
p... | true | true |
f7209c409ce293886a6af24bf96c863400e8931e | 4,791 | py | Python | luminoth/utils/bbox_transform_tf.py | jsdussanc/luminoth | 7637c52cc01d2826a231fef43746aa10951f99f0 | [
"BSD-3-Clause"
] | 2,584 | 2017-08-16T20:31:52.000Z | 2022-03-16T07:53:54.000Z | luminoth/utils/bbox_transform_tf.py | dun933/Tabulo | dc1c1203a40e1ecf2aaca9647f3008ab72b41438 | [
"BSD-3-Clause"
] | 197 | 2017-08-17T14:49:18.000Z | 2022-02-10T01:50:50.000Z | luminoth/utils/bbox_transform_tf.py | dun933/Tabulo | dc1c1203a40e1ecf2aaca9647f3008ab72b41438 | [
"BSD-3-Clause"
] | 462 | 2017-08-16T22:00:23.000Z | 2022-03-08T19:14:00.000Z | import tensorflow as tf
def get_width_upright(bboxes):
with tf.name_scope('BoundingBoxTransform/get_width_upright'):
bboxes = tf.cast(bboxes, tf.float32)
x1, y1, x2, y2 = tf.split(bboxes, 4, axis=1)
width = x2 - x1 + 1.
height = y2 - y1 + 1.
# Calculate up right point of b... | 31.313725 | 79 | 0.622626 | import tensorflow as tf
def get_width_upright(bboxes):
with tf.name_scope('BoundingBoxTransform/get_width_upright'):
bboxes = tf.cast(bboxes, tf.float32)
x1, y1, x2, y2 = tf.split(bboxes, 4, axis=1)
width = x2 - x1 + 1.
height = y2 - y1 + 1.
urx = x1 + .5 * width
... | true | true |
f7209df8e01166c38a64b49337433ccac2442afc | 2,808 | py | Python | 5-MaksimovKA/code/submit.py | remtav/SpaceNet7_Multi-Temporal_Solutions | ee535c61fc22bffa45331519239c6d1b044b1514 | [
"Apache-2.0"
] | 38 | 2021-02-18T07:04:54.000Z | 2022-03-22T15:31:06.000Z | 5-MaksimovKA/code/submit.py | remtav/SpaceNet7_Multi-Temporal_Solutions | ee535c61fc22bffa45331519239c6d1b044b1514 | [
"Apache-2.0"
] | 2 | 2021-02-22T18:53:19.000Z | 2021-06-22T20:28:06.000Z | 5-MaksimovKA/code/submit.py | remtav/SpaceNet7_Multi-Temporal_Solutions | ee535c61fc22bffa45331519239c6d1b044b1514 | [
"Apache-2.0"
] | 15 | 2021-02-25T17:25:40.000Z | 2022-01-31T16:59:32.000Z | import os
import tqdm
import glob
import fiona
import geopandas as gpd
from fire import Fire
def sn7_convert_geojsons_to_csv(json_dirs, output_csv_path, population='proposal'):
'''
Convert jsons to csv
Population is either "ground" or "proposal"
'''
first_file = True # switch that will be turned... | 35.1 | 94 | 0.551994 | import os
import tqdm
import glob
import fiona
import geopandas as gpd
from fire import Fire
def sn7_convert_geojsons_to_csv(json_dirs, output_csv_path, population='proposal'):
first_file = True
for json_dir in tqdm.tqdm(json_dirs[:]):
json_files = sorted(glob.glob(os.path.join(json_dir, '*.geojson... | true | true |
f7209e86a2976584564066d1289e7d7d2268a733 | 2,401 | py | Python | tests/commands/test_modifyoncondition.py | lpd-patrick/oaxmlapi | 1e73881c290ca3181c2d33a7b5fa74fb5f86e62c | [
"MIT"
] | 25 | 2015-05-20T01:23:39.000Z | 2021-03-01T17:13:59.000Z | tests/commands/test_modifyoncondition.py | lpd-patrick/oaxmlapi | 1e73881c290ca3181c2d33a7b5fa74fb5f86e62c | [
"MIT"
] | 16 | 2015-03-03T00:59:29.000Z | 2021-11-30T16:45:15.000Z | tests/commands/test_modifyoncondition.py | lpd-patrick/oaxmlapi | 1e73881c290ca3181c2d33a7b5fa74fb5f86e62c | [
"MIT"
] | 12 | 2016-01-04T20:06:44.000Z | 2020-09-27T20:15:27.000Z | # -*- coding: utf-8
from __future__ import absolute_import
import unittest
from oaxmlapi import commands, datatypes
try:
import xml.etree.cElementTree as ET
except ImportError:
import xml.etree.ElementTree as ET
class TestModifyOnConditionClass(unittest.TestCase):
def test_str(self):
slip = data... | 27.918605 | 79 | 0.493544 |
from __future__ import absolute_import
import unittest
from oaxmlapi import commands, datatypes
try:
import xml.etree.cElementTree as ET
except ImportError:
import xml.etree.ElementTree as ET
class TestModifyOnConditionClass(unittest.TestCase):
def test_str(self):
slip = datatypes.Datatype(
... | true | true |
f7209ed2b871197ee55089411c3d1ab6b323fbba | 3,956 | py | Python | docs/user_guides/tools/elastic_ctr/elastic_ctr/dist_train_demo.py | shiyutang/docs | b05612213a08daf9f225abce08fc42f924ef51ad | [
"Apache-2.0"
] | 104 | 2018-09-04T08:16:05.000Z | 2021-05-06T20:45:26.000Z | docs/user_guides/tools/elastic_ctr/elastic_ctr/dist_train_demo.py | shiyutang/docs | b05612213a08daf9f225abce08fc42f924ef51ad | [
"Apache-2.0"
] | 1,582 | 2018-06-25T06:14:11.000Z | 2021-05-14T16:00:43.000Z | docs/user_guides/tools/elastic_ctr/elastic_ctr/dist_train_demo.py | shiyutang/docs | b05612213a08daf9f225abce08fc42f924ef51ad | [
"Apache-2.0"
] | 387 | 2018-06-20T07:42:32.000Z | 2021-05-14T08:35:28.000Z | # Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 35.321429 | 82 | 0.65091 |
from __future__ import print_function
import paddle.fluid.core as core
import math
import os
import sys
import numpy
import paddle
import paddle.fluid as fluid
BATCH_SIZE = 64
PASS_NUM = 1
def loss_net(hidden, label):
prediction = fluid.layers.fc(input=hidden, size=10, act='softmax')
loss = ... | true | true |
f7209f8d535077c8af62477c05e769c4ef76e2d5 | 9,895 | py | Python | mazda3_joystick.py | moralrecordings/elm327_joystick | edebae95f24913f7c6caed98751fb54477743169 | [
"BSD-3-Clause"
] | 7 | 2017-12-18T13:11:18.000Z | 2022-01-08T21:13:26.000Z | mazda3_joystick.py | moralrecordings/elm327_joystick | edebae95f24913f7c6caed98751fb54477743169 | [
"BSD-3-Clause"
] | null | null | null | mazda3_joystick.py | moralrecordings/elm327_joystick | edebae95f24913f7c6caed98751fb54477743169 | [
"BSD-3-Clause"
] | 3 | 2018-10-27T21:37:01.000Z | 2022-01-08T21:13:24.000Z | #!/usr/bin/env python3
import uinput
from elm327 import ELM327, PROTOCOLS
from mrcrowbar import models as mrc
import math
import time
from optparse import OptionParser
class OptParser( OptionParser ):
def format_epilog( self, formatter ):
return '\n{}\n'.format( '\n'.join( [formatter._format_text( x ) fo... | 30.167683 | 141 | 0.597979 |
import uinput
from elm327 import ELM327, PROTOCOLS
from mrcrowbar import models as mrc
import math
import time
from optparse import OptionParser
class OptParser( OptionParser ):
def format_epilog( self, formatter ):
return '\n{}\n'.format( '\n'.join( [formatter._format_text( x ) for x in self.epilog.spl... | true | true |
f720a09f334fcd690a947282fa271733c27fe7d4 | 218 | py | Python | WriteaFunction.py | jibinmathew691993/PythonHackerrank | 14ab5b620435a006d5ccff17536bc01acd7c22dc | [
"MIT"
] | null | null | null | WriteaFunction.py | jibinmathew691993/PythonHackerrank | 14ab5b620435a006d5ccff17536bc01acd7c22dc | [
"MIT"
] | null | null | null | WriteaFunction.py | jibinmathew691993/PythonHackerrank | 14ab5b620435a006d5ccff17536bc01acd7c22dc | [
"MIT"
] | null | null | null | def is_leap(year):
leap = False
if year>=1900:
if year%4 == 0:
leap = True
if year%100 == 0 and year%400 != 0:
leap = False
return leap
year = int(input()) | 18.166667 | 47 | 0.463303 | def is_leap(year):
leap = False
if year>=1900:
if year%4 == 0:
leap = True
if year%100 == 0 and year%400 != 0:
leap = False
return leap
year = int(input()) | true | true |
f720a191c0da487593b1eee10de1b8b4af27c2df | 2,276 | py | Python | pyecharts/charts/basic_charts/scatter.py | myqf555/pyecharts | 050309ee3d2016142df3e2265a091e27aa58a027 | [
"MIT"
] | 1 | 2020-02-13T14:48:20.000Z | 2020-02-13T14:48:20.000Z | pyecharts/charts/basic_charts/scatter.py | eclipse2007/pyecharts | 651731a1a5220420a9a03808d2f5eb38ffe18e09 | [
"MIT"
] | null | null | null | pyecharts/charts/basic_charts/scatter.py | eclipse2007/pyecharts | 651731a1a5220420a9a03808d2f5eb38ffe18e09 | [
"MIT"
] | 1 | 2020-09-12T05:55:48.000Z | 2020-09-12T05:55:48.000Z | import itertools
from ... import options as opts
from ... import types
from ...charts.chart import RectChart
from ...globals import ChartType
class Scatter(RectChart):
"""
<<< Scatter >>>
The scatter diagram on the rectangular coordinate system can be used to
show the relationship betwe... | 35.5625 | 76 | 0.560193 | import itertools
from ... import options as opts
from ... import types
from ...charts.chart import RectChart
from ...globals import ChartType
class Scatter(RectChart):
def add_yaxis(
self,
series_name: str,
y_axis: types.Sequence,
*,
is_selected: bool = Tru... | true | true |
f720a2030d77959bb04a88ba16fda69fd042f960 | 8,410 | py | Python | LichessBotMain.py | nfeddersen/lichess-bot | 6457b5f66104b59b91316ba3a944b55710ca64e5 | [
"MIT"
] | null | null | null | LichessBotMain.py | nfeddersen/lichess-bot | 6457b5f66104b59b91316ba3a944b55710ca64e5 | [
"MIT"
] | null | null | null | LichessBotMain.py | nfeddersen/lichess-bot | 6457b5f66104b59b91316ba3a944b55710ca64e5 | [
"MIT"
] | 1 | 2021-07-12T14:11:04.000Z | 2021-07-12T14:11:04.000Z | import requests
import json
from stockfish import Stockfish
stockfish = Stockfish('stockfish_20090216_x64_bmi2.exe', parameters={"Threads": 8, "Minimum Thinking Time": 300})
stockfish.set_depth(15)
stockfish.set_skill_level(25)
api_key = 'REPLACE_WITH_API_KEY'
headers = {'Authorization': f'Bearer {api_key}... | 46.464088 | 114 | 0.437574 | import requests
import json
from stockfish import Stockfish
stockfish = Stockfish('stockfish_20090216_x64_bmi2.exe', parameters={"Threads": 8, "Minimum Thinking Time": 300})
stockfish.set_depth(15)
stockfish.set_skill_level(25)
api_key = 'REPLACE_WITH_API_KEY'
headers = {'Authorization': f'Bearer {api_key}... | true | true |
f720a21b297857bd9d0f8b0c056695ecb84a54fe | 1,510 | py | Python | pyArango/index.py | jarvisav/pyArango | dc054e2258c9fccbc54443afc244b74ad0abb8b0 | [
"Apache-2.0"
] | null | null | null | pyArango/index.py | jarvisav/pyArango | dc054e2258c9fccbc54443afc244b74ad0abb8b0 | [
"Apache-2.0"
] | null | null | null | pyArango/index.py | jarvisav/pyArango | dc054e2258c9fccbc54443afc244b74ad0abb8b0 | [
"Apache-2.0"
] | null | null | null | import json
from .theExceptions import (CreationError, DeletionError, UpdateError)
class Index(object) :
"""An index on a collection's fields. Indexes are meant to de created by ensureXXX functions of Collections.
Indexes have a .infos dictionary that stores all the infos about the index"""
def __init__(self... | 40.810811 | 151 | 0.625828 | import json
from .theExceptions import (CreationError, DeletionError, UpdateError)
class Index(object) :
def __init__(self, collection, infos = None, creationData = None) :
self.collection = collection
self.connection = self.collection.database.connection
self.indexesURL = "%s/index" % se... | true | true |
f720a26b353f6b3ddd1548566f5b0a972c16828a | 584 | py | Python | soleka.py | jshenaop/eko | bb8e96ee9e460ed10505c8046a444a24fdcfcd06 | [
"Apache-2.0"
] | null | null | null | soleka.py | jshenaop/eko | bb8e96ee9e460ed10505c8046a444a24fdcfcd06 | [
"Apache-2.0"
] | null | null | null | soleka.py | jshenaop/eko | bb8e96ee9e460ed10505c8046a444a24fdcfcd06 | [
"Apache-2.0"
] | null | null | null | # coding=utf8
from flask import Flask, render_template
from flask_restful.utils import cors
from flask_cors import CORS, cross_origin
import config
import models
from resources_v1.predictions import predictions_api_v1
from templates.templates import home
app = Flask(__name__)
CORS(app)
app.register_bl... | 22.461538 | 65 | 0.738014 |
from flask import Flask, render_template
from flask_restful.utils import cors
from flask_cors import CORS, cross_origin
import config
import models
from resources_v1.predictions import predictions_api_v1
from templates.templates import home
app = Flask(__name__)
CORS(app)
app.register_blueprint(predic... | true | true |
f720a3476873e92b2ed94d5e14b117589ae55b83 | 23,418 | py | Python | index.py | 201723050210/17wanxiaoCheckin-Actions | 666a2c8473f876a607011021a8be1ee876ce6c34 | [
"MIT"
] | null | null | null | index.py | 201723050210/17wanxiaoCheckin-Actions | 666a2c8473f876a607011021a8be1ee876ce6c34 | [
"MIT"
] | null | null | null | index.py | 201723050210/17wanxiaoCheckin-Actions | 666a2c8473f876a607011021a8be1ee876ce6c34 | [
"MIT"
] | null | null | null | import time
import os
import datetime
import json
import logging
import requests
from utils.server_chan import server_push
from utils.qq_email import qq_email_push
from utils.qmsg import qmsg_push
from login import CampusLogin
def initLogging():
logging.getLogger().setLevel(logging.INFO)
logging.basicConfig(... | 32.211829 | 130 | 0.530575 | import time
import os
import datetime
import json
import logging
import requests
from utils.server_chan import server_push
from utils.qq_email import qq_email_push
from utils.qmsg import qmsg_push
from login import CampusLogin
def initLogging():
logging.getLogger().setLevel(logging.INFO)
logging.basicConfig(... | true | true |
f720a3b2937b6b9bd9e76101573c229ffea21101 | 913 | py | Python | tabu/package_info.py | wbernoudy/dwave-tabu | 793e76405ba60d2da87bc15634adeda821d82564 | [
"Apache-2.0"
] | null | null | null | tabu/package_info.py | wbernoudy/dwave-tabu | 793e76405ba60d2da87bc15634adeda821d82564 | [
"Apache-2.0"
] | null | null | null | tabu/package_info.py | wbernoudy/dwave-tabu | 793e76405ba60d2da87bc15634adeda821d82564 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 D-Wave Systems Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | 38.041667 | 74 | 0.756846 |
__packagename__ = 'dwave-tabu'
__title__ = 'D-Wave Tabu'
__version__ = '0.1.3'
__author__ = 'D-Wave Systems Inc.'
__authoremail__ = 'tools@dwavesys.com'
__description__ = 'Optimized Tabu solver for QUBOs'
__url__ = 'https://github.com/dwavesystems/dwave-tabu'
__license__ = 'Apache 2.0'
__copyright__ = '20... | true | true |
f720a3be847c19fa4b9c7affc33b5d31a4209713 | 276 | py | Python | EyeTracker/display.py | PoweredByME/SSVEP_FYP | 6839be6a4aeddfa1b29c587b23d64c95a90810f8 | [
"MIT"
] | null | null | null | EyeTracker/display.py | PoweredByME/SSVEP_FYP | 6839be6a4aeddfa1b29c587b23d64c95a90810f8 | [
"MIT"
] | null | null | null | EyeTracker/display.py | PoweredByME/SSVEP_FYP | 6839be6a4aeddfa1b29c587b23d64c95a90810f8 | [
"MIT"
] | null | null | null | import cv2;
class Display(object):
def __init__(self):
pass;
def showFrame(self, frame, windowName = "frame"):
cv2.namedWindow(windowName, cv2.WINDOW_NORMAL);
cv2.imshow(windowName, frame);
def end(self):
cv2.destroyAllWindows(); | 23 | 55 | 0.637681 | import cv2;
class Display(object):
def __init__(self):
pass;
def showFrame(self, frame, windowName = "frame"):
cv2.namedWindow(windowName, cv2.WINDOW_NORMAL);
cv2.imshow(windowName, frame);
def end(self):
cv2.destroyAllWindows(); | true | true |
f720a3c8713f607158450310ae4112fcb026294a | 6,344 | py | Python | simple_history/manager.py | felixschloesser/django-simple-history | 28abacb8a776fbaffcf0a42432a6a88be3561a86 | [
"BSD-3-Clause"
] | 2 | 2021-03-26T09:20:05.000Z | 2021-05-26T13:46:48.000Z | simple_history/manager.py | felixschloesser/django-simple-history | 28abacb8a776fbaffcf0a42432a6a88be3561a86 | [
"BSD-3-Clause"
] | 42 | 2021-03-30T11:12:23.000Z | 2022-03-28T09:20:13.000Z | simple_history/manager.py | hramezani/django-simple-history | 32645206749a1cc68539d9ad6499f1a938b2c9f4 | [
"BSD-3-Clause"
] | 1 | 2021-10-05T10:25:35.000Z | 2021-10-05T10:25:35.000Z | from django.db import connection, models
from django.db.models import OuterRef, Subquery
from django.utils import timezone
from simple_history.utils import get_change_reason_from_object
class HistoryDescriptor:
def __init__(self, model):
self.model = model
def __get__(self, instance, owner):
... | 36.67052 | 87 | 0.585908 | from django.db import connection, models
from django.db.models import OuterRef, Subquery
from django.utils import timezone
from simple_history.utils import get_change_reason_from_object
class HistoryDescriptor:
def __init__(self, model):
self.model = model
def __get__(self, instance, owner):
... | true | true |
f720a3de70f0386fe46cbec6ae3539699c8d83d8 | 5,653 | py | Python | sdk/python/pulumi_azure_native/botservice/v20171201/get_bot_connection.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/botservice/v20171201/get_bot_connection.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/botservice/v20171201/get_bot_connection.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
fro... | 32.488506 | 144 | 0.618433 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
from . import outputs
__all__ = [
'GetBotConnectionResult',
'AwaitableGetBotConnectionResult',
'get_bot_connection',
]
@pulumi.output_type
class GetBotCon... | true | true |
f720a41fe1294d6a6a4f0a5fcf613dac72c9f8da | 9,425 | py | Python | pulsar-functions/instance/src/main/python/function_stats.py | bruth/pulsar | fe2c8ee4d37e2a45dfb528592915746827416e18 | [
"Apache-2.0"
] | null | null | null | pulsar-functions/instance/src/main/python/function_stats.py | bruth/pulsar | fe2c8ee4d37e2a45dfb528592915746827416e18 | [
"Apache-2.0"
] | null | null | null | pulsar-functions/instance/src/main/python/function_stats.py | bruth/pulsar | fe2c8ee4d37e2a45dfb528592915746827416e18 | [
"Apache-2.0"
] | 1 | 2019-03-15T09:34:50.000Z | 2019-03-15T09:34:50.000Z | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | 49.088542 | 158 | 0.766154 |
import traceback
import time
import util
from prometheus_client import Counter, Summary, Gauge
class Stats(object):
metrics_label_names = ['tenant', 'namespace', 'function', 'instance_id', 'cluster']
PULSAR_FUNCTION_METRICS_PREFIX = "pulsar_function_"
USER_METRIC_PREFIX = "user_metric_";
... | true | true |
f720a49b1ccb9afbd2e211fb293d03f55301e147 | 2,226 | py | Python | Numpy/code.py | JayeshSukhija/ga-learner-dsmp-repo | 4c05d980462dde423b6be41cca1218d6d98e8e48 | [
"MIT"
] | null | null | null | Numpy/code.py | JayeshSukhija/ga-learner-dsmp-repo | 4c05d980462dde423b6be41cca1218d6d98e8e48 | [
"MIT"
] | null | null | null | Numpy/code.py | JayeshSukhija/ga-learner-dsmp-repo | 4c05d980462dde423b6be41cca1218d6d98e8e48 | [
"MIT"
] | null | null | null | # --------------
# Importing header files
import numpy as np
#New record
new_record=[[50, 9, 4, 1, 0, 0, 40, 0]]
#Code starts here
#Loading data file and saving it into a new numpy array
data = np.genfromtxt(path, delimiter=",", skip_header=1)
print(data.shape)
#Concatenating the new record to ... | 20.611111 | 61 | 0.676101 |
import numpy as np
new_record=[[50, 9, 4, 1, 0, 0, 40, 0]]
data = np.genfromtxt(path, delimiter=",", skip_header=1)
print(data.shape)
census=np.concatenate((data, new_record),axis = 0)
print(census.shape)
import numpy as np
age=census[:,0]
print (age)
print ('='*50)
max_age=np... | true | true |
f720a7182cc9382555831934ef834b1a0aab840c | 473 | py | Python | enaml/qt/__init__.py | dandycheung/enaml | 1a7d9c95717a359bb2a8435c597eda36c9235fab | [
"BSD-3-Clause-Clear"
] | null | null | null | enaml/qt/__init__.py | dandycheung/enaml | 1a7d9c95717a359bb2a8435c597eda36c9235fab | [
"BSD-3-Clause-Clear"
] | null | null | null | enaml/qt/__init__.py | dandycheung/enaml | 1a7d9c95717a359bb2a8435c597eda36c9235fab | [
"BSD-3-Clause-Clear"
] | null | null | null | # ------------------------------------------------------------------------------
# Copyright (c) 2013-2022, Nucleic Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
# ----------------------------------------------... | 29.5625 | 80 | 0.46723 |
from qtpy import (
API as QT_API,
PYQT5_API,
PYSIDE2_API,
PYQT6_API,
PYSIDE6_API,
QT_VERSION,
)
| true | true |
f720a75e584185882c002770a51c3e80de659a39 | 1,945 | py | Python | src/slamcore_ros2_examples/python/slamcore_ros2_examples/xacro_file_contents.py | slamcore/slamcore-ros2-examples | f101a277d7bbf07e081b89ca8efb77110abc2110 | [
"BSD-3-Clause"
] | 1 | 2022-01-31T16:00:39.000Z | 2022-01-31T16:00:39.000Z | src/slamcore_ros2_examples/python/slamcore_ros2_examples/xacro_file_contents.py | slamcore/slamcore-ros2-examples | f101a277d7bbf07e081b89ca8efb77110abc2110 | [
"BSD-3-Clause"
] | null | null | null | src/slamcore_ros2_examples/python/slamcore_ros2_examples/xacro_file_contents.py | slamcore/slamcore-ros2-examples | f101a277d7bbf07e081b89ca8efb77110abc2110 | [
"BSD-3-Clause"
] | null | null | null | """Module for the XacroFile substitution class."""
from pathlib import Path
from typing import Text, cast
import xacro
from launch.launch_context import LaunchContext
from launch.some_substitutions_type import SomeSubstitutionsType
from launch.substitution import Substitution
from launch.substitutions import Substit... | 36.018519 | 100 | 0.69563 |
from pathlib import Path
from typing import Text, cast
import xacro
from launch.launch_context import LaunchContext
from launch.some_substitutions_type import SomeSubstitutionsType
from launch.substitution import Substitution
from launch.substitutions import SubstitutionFailure
from launch.utilities import normalize... | true | true |
f720a8cc460fe602c10d1ad4a160e2c5c625a3d0 | 9,766 | py | Python | cloud_provider/aws/aws_bid_advisor_test.py | mridhul/minion-manager | 7301ac6360a82dfdd27e682d070c34e90f080149 | [
"Apache-2.0"
] | 54 | 2018-07-06T18:06:54.000Z | 2019-06-03T15:21:01.000Z | cloud_provider/aws/aws_bid_advisor_test.py | mridhul/minion-manager | 7301ac6360a82dfdd27e682d070c34e90f080149 | [
"Apache-2.0"
] | 28 | 2018-07-05T23:32:22.000Z | 2019-07-19T17:19:26.000Z | cloud_provider/aws/aws_bid_advisor_test.py | mridhul/minion-manager | 7301ac6360a82dfdd27e682d070c34e90f080149 | [
"Apache-2.0"
] | 15 | 2018-07-28T04:51:01.000Z | 2019-07-30T14:50:25.000Z | """The file has unit tests for the AWSBidAdvisor."""
import unittest
from mock import patch, MagicMock
import datetime
from dateutil.tz import tzutc
from cloud_provider.aws.aws_bid_advisor import AWSBidAdvisor
REFRESH_INTERVAL = 10
REGION = 'us-west-2'
MOCK_SPOT_PRICE={'NextToken': '', 'SpotPriceHistory': [{'Availabi... | 57.111111 | 2,928 | 0.668646 |
import unittest
from mock import patch, MagicMock
import datetime
from dateutil.tz import tzutc
from cloud_provider.aws.aws_bid_advisor import AWSBidAdvisor
REFRESH_INTERVAL = 10
REGION = 'us-west-2'
MOCK_SPOT_PRICE={'NextToken': '', 'SpotPriceHistory': [{'AvailabilityZone': 'us-west-2b', 'InstanceType': 'm5.4xlarge'... | true | true |
f720aa2b27c1b9f527f04697350eace8a44cc17c | 214 | py | Python | diypy3/tests/arr_stk.py | anqurvanillapy/diypy | 56ced55011e95a19b7238992c2fc612b196ff17d | [
"CC0-1.0"
] | 1 | 2015-12-08T10:35:21.000Z | 2015-12-08T10:35:21.000Z | diypy3/tests/arr_stk.py | anqurvanillapy/diypy3 | 56ced55011e95a19b7238992c2fc612b196ff17d | [
"CC0-1.0"
] | null | null | null | diypy3/tests/arr_stk.py | anqurvanillapy/diypy3 | 56ced55011e95a19b7238992c2fc612b196ff17d | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""\
This script creates a stack array
"""
import diypy3
d = diypy3.Diypy3()
arr_stk = (1, 2, 3, 4, 5)
max_size = 100
inc = 10
d.array_stack(max_size, inc, arr_stk)
| 14.266667 | 37 | 0.635514 |
import diypy3
d = diypy3.Diypy3()
arr_stk = (1, 2, 3, 4, 5)
max_size = 100
inc = 10
d.array_stack(max_size, inc, arr_stk)
| true | true |
f720aae2cd32fb0ceac540aa226171b36ea197e1 | 9,383 | py | Python | yandex/cloud/mdb/mysql/v1alpha/backup_service_pb2.py | kbespalov/python-sdk | e86563ee850e46a35b4c84053ecd4affdf66a963 | [
"MIT"
] | null | null | null | yandex/cloud/mdb/mysql/v1alpha/backup_service_pb2.py | kbespalov/python-sdk | e86563ee850e46a35b4c84053ecd4affdf66a963 | [
"MIT"
] | null | null | null | yandex/cloud/mdb/mysql/v1alpha/backup_service_pb2.py | kbespalov/python-sdk | e86563ee850e46a35b4c84053ecd4affdf66a963 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: yandex/cloud/mdb/mysql/v1alpha/backup_service.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import messag... | 43.845794 | 1,281 | 0.775338 |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
_sym_db ... | true | true |
f720ac11c40ba6b8dd0d3806ca655474e9e8841f | 344 | py | Python | convert/_3D/to/_1D.py | flew-software/Dem | 20b7eb9bc7c11f1baf23acfe7bfbab359ddd97fb | [
"MIT"
] | 1 | 2021-02-17T08:30:05.000Z | 2021-02-17T08:30:05.000Z | convert/_3D/to/_1D.py | flew-software/Dem | 20b7eb9bc7c11f1baf23acfe7bfbab359ddd97fb | [
"MIT"
] | null | null | null | convert/_3D/to/_1D.py | flew-software/Dem | 20b7eb9bc7c11f1baf23acfe7bfbab359ddd97fb | [
"MIT"
] | null | null | null | def row_major(l: list) -> tuple[list, int]:
""" converts a 2d list to a 1d list using row major algorithm and returns a 1d list and row count """
out = []
i = 0
while i < len(l):
ii = 0
a = l[i]
while ii < len(a):
out.append(a[ii])
ii += 1
i += 1
... | 22.933333 | 105 | 0.479651 | def row_major(l: list) -> tuple[list, int]:
out = []
i = 0
while i < len(l):
ii = 0
a = l[i]
while ii < len(a):
out.append(a[ii])
ii += 1
i += 1
return out, len(l)
| true | true |
f720ae0b4dc5919f8c14b48866a4d15a378b186e | 2,887 | py | Python | EDSR/common.py | NateLol/BAM_A_lightweight_but_efficient_Balanced_attention_mechanism_for_super_resolution | f23c043c6cd5c064e58b6b11bd7100fc55224702 | [
"MIT"
] | 33 | 2021-04-30T02:40:05.000Z | 2022-03-09T09:35:49.000Z | EDSR/common.py | chisyliu/BAM_A_lightweight_but_efficient_Balanced_attention_mechanism_for_super_resolution | 4c977ea1586e7836248acb5cbd648e124b43aca3 | [
"MIT"
] | 6 | 2021-05-10T23:19:35.000Z | 2021-12-13T02:13:16.000Z | EDSR/common.py | chisyliu/BAM_A_lightweight_but_efficient_Balanced_attention_mechanism_for_super_resolution | 4c977ea1586e7836248acb5cbd648e124b43aca3 | [
"MIT"
] | 13 | 2021-05-18T12:21:48.000Z | 2022-01-21T07:17:19.000Z | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
def default_conv(in_channels, out_channels, kernel_size, bias=True):
return nn.Conv2d(
in_channels, out_channels, kernel_size,
padding=(kernel_size//2), bias=bias)
clas... | 33.569767 | 104 | 0.55594 | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
def default_conv(in_channels, out_channels, kernel_size, bias=True):
return nn.Conv2d(
in_channels, out_channels, kernel_size,
padding=(kernel_size//2), bias=bias)
clas... | true | true |
f720ae8b8a42176cee5c72888875e04ea9be0096 | 749 | py | Python | tests/hooks.py | j-mechacorta/atoolbox | 900ad665f463d16911982dfadab7015cb95aa5ca | [
"MIT"
] | null | null | null | tests/hooks.py | j-mechacorta/atoolbox | 900ad665f463d16911982dfadab7015cb95aa5ca | [
"MIT"
] | null | null | null | tests/hooks.py | j-mechacorta/atoolbox | 900ad665f463d16911982dfadab7015cb95aa5ca | [
"MIT"
] | null | null | null | import os
from os.path import dirname as _dir
import logging
def get_logger(name):
return logging.getLogger('conftest.%s' % name)
def pytest_sessionstart(session):
BASE_FORMAT = "[%(name)s][%(levelname)-6s] %(message)s"
FILE_FORMAT = "[%(asctime)s]" + BASE_FORMAT
root_logger = logging.getLogger('con... | 26.75 | 72 | 0.698264 | import os
from os.path import dirname as _dir
import logging
def get_logger(name):
return logging.getLogger('conftest.%s' % name)
def pytest_sessionstart(session):
BASE_FORMAT = "[%(name)s][%(levelname)-6s] %(message)s"
FILE_FORMAT = "[%(asctime)s]" + BASE_FORMAT
root_logger = logging.getLogger('con... | true | true |
f720ae996883f8afdc19851c7b8222b960cb4d67 | 389 | py | Python | python-ds-practice/10_frequency/frequency.py | MostFunGuy/SpringboardProjectsPublic | bbda3ba26ecf8a09e62df81583122cae83acc1e6 | [
"MIT"
] | null | null | null | python-ds-practice/10_frequency/frequency.py | MostFunGuy/SpringboardProjectsPublic | bbda3ba26ecf8a09e62df81583122cae83acc1e6 | [
"MIT"
] | null | null | null | python-ds-practice/10_frequency/frequency.py | MostFunGuy/SpringboardProjectsPublic | bbda3ba26ecf8a09e62df81583122cae83acc1e6 | [
"MIT"
] | null | null | null | def frequency(lst, search_term):
"""Return frequency of term in lst.
>>> frequency([1, 4, 3, 4, 4], 4)
3
>>> frequency([1, 4, 3], 7)
0
"""
return lst.count(search_term)
print(F"frequency.py: frequency([1, 4, 3, 4, 4], 4) = `3` = {frequency([1, 4, 3, 4, 4], 4)}")
print(F"freq... | 35.363636 | 93 | 0.511568 | def frequency(lst, search_term):
return lst.count(search_term)
print(F"frequency.py: frequency([1, 4, 3, 4, 4], 4) = `3` = {frequency([1, 4, 3, 4, 4], 4)}")
print(F"frequency.py: frequency([1, 4, 3], 7) = `0` = {frequency([1, 4, 3], 7)}") | true | true |
f720aeded9d52c0f3f6082dcb150a7020df5a4fb | 107 | py | Python | models/__init__.py | Abdulah-Fawaz/Benchmarking-Surface-DL | 9693379f26d57f9aabf28b973f40a9f6f627d26f | [
"MIT"
] | 2 | 2021-12-04T07:04:56.000Z | 2021-12-13T16:28:50.000Z | models/__init__.py | Abdulah-Fawaz/Benchmarking-Surface-DL | 9693379f26d57f9aabf28b973f40a9f6f627d26f | [
"MIT"
] | 1 | 2021-12-21T09:36:11.000Z | 2022-01-25T10:26:43.000Z | models/__init__.py | Abdulah-Fawaz/Benchmarking-Surface-DL | 9693379f26d57f9aabf28b973f40a9f6f627d26f | [
"MIT"
] | 1 | 2022-02-27T17:38:19.000Z | 2022-02-27T17:38:19.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Nov 29 10:29:06 2020
@author: fa19
"""
| 11.888889 | 35 | 0.588785 | true | true | |
f720af0f5626dfcd589a2242cb387ffca059e40a | 7,100 | py | Python | querybook/server/models/admin.py | czgu/querybook | fb3120245cd9693b7aa67bf0f08d427fd2dde74b | [
"Apache-2.0"
] | 1,144 | 2021-03-30T05:06:16.000Z | 2022-03-31T10:40:31.000Z | querybook/server/models/admin.py | czgu/querybook | fb3120245cd9693b7aa67bf0f08d427fd2dde74b | [
"Apache-2.0"
] | 100 | 2021-03-30T19:43:45.000Z | 2022-03-25T17:29:32.000Z | querybook/server/models/admin.py | czgu/querybook | fb3120245cd9693b7aa67bf0f08d427fd2dde74b | [
"Apache-2.0"
] | 113 | 2021-03-30T00:07:20.000Z | 2022-03-31T07:18:43.000Z | import sqlalchemy as sql
from sqlalchemy.orm import relationship, backref
from app import db
from const.admin import AdminOperation
from const.db import (
name_length,
now,
description_length,
# mediumtext_length,
# text_length
)
from lib.sqlalchemy import CRUDMixin
Base = db.Base
class Announc... | 33.809524 | 88 | 0.647183 | import sqlalchemy as sql
from sqlalchemy.orm import relationship, backref
from app import db
from const.admin import AdminOperation
from const.db import (
name_length,
now,
description_length,
)
from lib.sqlalchemy import CRUDMixin
Base = db.Base
class Announcement(CRUDMixin, Base):
__tab... | true | true |
f720af70da7be7958d444ad2af3d0b7e0b2ef072 | 601 | py | Python | basicsortings/SelectionSort.py | ankushdecoded123/basicalgorithms | f8d42a57d7619ddb29fd6eae9e5f2db27ee5712c | [
"Apache-2.0"
] | null | null | null | basicsortings/SelectionSort.py | ankushdecoded123/basicalgorithms | f8d42a57d7619ddb29fd6eae9e5f2db27ee5712c | [
"Apache-2.0"
] | null | null | null | basicsortings/SelectionSort.py | ankushdecoded123/basicalgorithms | f8d42a57d7619ddb29fd6eae9e5f2db27ee5712c | [
"Apache-2.0"
] | null | null | null | # selectionsort() method
def selectionSort(arr):
arraySize = len(arr)
for i in range(arraySize):
min = i
for j in range(i+1, arraySize):
if arr[j] < arr[min]:
min = j
#swap values
arr[i], arr[min] = arr[min], arr[i]
# method to print an array
def printList(arr):
for i in rang... | 20.033333 | 39 | 0.55574 |
def selectionSort(arr):
arraySize = len(arr)
for i in range(arraySize):
min = i
for j in range(i+1, arraySize):
if arr[j] < arr[min]:
min = j
arr[i], arr[min] = arr[min], arr[i]
def printList(arr):
for i in range(len(arr)):
print(arr[i],end=" ")
print("\n")
... | true | true |
f720b19536007d90852dfc1229d07fda01236456 | 2,189 | py | Python | functions/sample/python/main.py | aneeshmraj/agfzb-CloudAppDevelopment_Capstone | ed9b1a675a0c4325e56bf77ed4497a36d1755484 | [
"Apache-2.0"
] | null | null | null | functions/sample/python/main.py | aneeshmraj/agfzb-CloudAppDevelopment_Capstone | ed9b1a675a0c4325e56bf77ed4497a36d1755484 | [
"Apache-2.0"
] | null | null | null | functions/sample/python/main.py | aneeshmraj/agfzb-CloudAppDevelopment_Capstone | ed9b1a675a0c4325e56bf77ed4497a36d1755484 | [
"Apache-2.0"
] | null | null | null | #
#
# main() will be run when you invoke this action
#
# @param Cloud Functions actions accept a single parameter, which must be a JSON object.
#
# @return The output of this action, which must be a JSON object.
#
#
from cloudant.client import Cloudant
from cloudant.error import CloudantException
from cloudant.query im... | 31.724638 | 90 | 0.643216 |
from cloudant.client import Cloudant
from cloudant.error import CloudantException
from cloudant.query import Query
from requests import ConnectionError, ReadTimeout, RequestException
import requests
import sys
def main(dict):
print(dict)
service = Cloudant.iam(None, dict["IAM_API_KEY"], url=dict["COUC... | true | true |
f720b26349b04b5e0459f3b75168c72fe5c3ff77 | 5,299 | py | Python | src/OFS/tests/test_Uninstalled.py | rbanffy/Zope | ecf6770219052e7c7f8c9634ddf187a1e6280742 | [
"ZPL-2.1"
] | null | null | null | src/OFS/tests/test_Uninstalled.py | rbanffy/Zope | ecf6770219052e7c7f8c9634ddf187a1e6280742 | [
"ZPL-2.1"
] | 1 | 2020-11-11T07:11:31.000Z | 2020-11-11T07:11:31.000Z | src/OFS/tests/test_Uninstalled.py | rbanffy/Zope | ecf6770219052e7c7f8c9634ddf187a1e6280742 | [
"ZPL-2.1"
] | null | null | null | ##############################################################################
#
# Copyright (c) 2006 Zope Foundation and Contributors.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS I... | 35.804054 | 79 | 0.627854 | true | true | |
f720b26c972d7bdb64501599e3be9253fa24774d | 18,722 | py | Python | python/ray/ml/tests/test_preprocessors.py | siddgoel/ray | 7f3031f451de410b71a5fcb18e04452bfa7351d6 | [
"Apache-2.0"
] | 22 | 2018-05-08T05:52:34.000Z | 2020-04-01T10:09:55.000Z | python/ray/ml/tests/test_preprocessors.py | siddgoel/ray | 7f3031f451de410b71a5fcb18e04452bfa7351d6 | [
"Apache-2.0"
] | 51 | 2018-05-17T05:55:28.000Z | 2020-03-18T06:49:49.000Z | python/ray/ml/tests/test_preprocessors.py | siddgoel/ray | 7f3031f451de410b71a5fcb18e04452bfa7351d6 | [
"Apache-2.0"
] | 10 | 2018-04-27T10:50:59.000Z | 2020-02-24T02:41:43.000Z | import warnings
from unittest.mock import patch
import numpy as np
import pandas as pd
import pytest
import ray
from ray.ml.preprocessor import PreprocessorNotFittedException
from ray.ml.preprocessors import (
BatchMapper,
StandardScaler,
MinMaxScaler,
OrdinalEncoder,
OneHotEncoder,
LabelEncod... | 29.670365 | 84 | 0.626429 | import warnings
from unittest.mock import patch
import numpy as np
import pandas as pd
import pytest
import ray
from ray.ml.preprocessor import PreprocessorNotFittedException
from ray.ml.preprocessors import (
BatchMapper,
StandardScaler,
MinMaxScaler,
OrdinalEncoder,
OneHotEncoder,
LabelEncod... | true | true |
f720b26f06cbae99f40eb0f83633ea9c408ef321 | 5,737 | py | Python | astro/plugins/_core.py | Lightyagami788/Astro-UB | cb2d8c76064c474ffd507e38421509f51918520f | [
"Apache-2.0"
] | null | null | null | astro/plugins/_core.py | Lightyagami788/Astro-UB | cb2d8c76064c474ffd507e38421509f51918520f | [
"Apache-2.0"
] | null | null | null | astro/plugins/_core.py | Lightyagami788/Astro-UB | cb2d8c76064c474ffd507e38421509f51918520f | [
"Apache-2.0"
] | 1 | 2021-11-16T06:20:41.000Z | 2021-11-16T06:20:41.000Z | import asyncio
import os
from datetime import datetime
from pathlib import Path
from telethon.tl.types import InputMessagesFilterDocument
from astro.config import Config
from astro import CMD_HELP
from astro.utils import admin_cmd, load_module, remove_plugin
NAME = Config.NAME
DELETE_TIMEOUT = 5
thumb_image_path = "... | 34.981707 | 124 | 0.599791 | import asyncio
import os
from datetime import datetime
from pathlib import Path
from telethon.tl.types import InputMessagesFilterDocument
from astro.config import Config
from astro import CMD_HELP
from astro.utils import admin_cmd, load_module, remove_plugin
NAME = Config.NAME
DELETE_TIMEOUT = 5
thumb_image_path = "... | true | true |
f720b37866bd3fbd5203ac0faed5ee3a58cc01bc | 317 | py | Python | raspi/deskTimer.py | Itera/ariot2018 | e83adc8ac4e788df09fe412dd57ce3aca966b99a | [
"MIT"
] | null | null | null | raspi/deskTimer.py | Itera/ariot2018 | e83adc8ac4e788df09fe412dd57ce3aca966b99a | [
"MIT"
] | 1 | 2018-03-15T15:04:10.000Z | 2018-03-15T16:02:28.000Z | raspi/deskTimer.py | Itera/ariot2018 | e83adc8ac4e788df09fe412dd57ce3aca966b99a | [
"MIT"
] | null | null | null | from threading import Timer
class DeskTimer(object):
current_timer = None
def start(self, time, callback, *args):
self.current_timer = Timer(time, callback, args)
self.current_timer.start()
def stop(self):
if self.current_timer != None:
self.current_timer.cancel()
| 24.384615 | 56 | 0.649842 | from threading import Timer
class DeskTimer(object):
current_timer = None
def start(self, time, callback, *args):
self.current_timer = Timer(time, callback, args)
self.current_timer.start()
def stop(self):
if self.current_timer != None:
self.current_timer.cancel()
| true | true |
f720b3c07515379b83fea8c011c643547f776843 | 19,885 | py | Python | perfkitbenchmarker/providers/rackspace/rackspace_virtual_machine.py | msidana/PerfKitBenchmarker | 2784642d3e6b20b3f474c4e27edb1ef163804f66 | [
"Apache-2.0"
] | 1 | 2018-08-28T19:33:21.000Z | 2018-08-28T19:33:21.000Z | perfkitbenchmarker/providers/rackspace/rackspace_virtual_machine.py | msidana/PerfKitBenchmarker | 2784642d3e6b20b3f474c4e27edb1ef163804f66 | [
"Apache-2.0"
] | null | null | null | perfkitbenchmarker/providers/rackspace/rackspace_virtual_machine.py | msidana/PerfKitBenchmarker | 2784642d3e6b20b3f474c4e27edb1ef163804f66 | [
"Apache-2.0"
] | null | null | null | # Copyright 2015 PerfKitBenchmarker Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 37.029795 | 80 | 0.692582 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from collections import OrderedDict
import json
import logging
import re
import tempfile
from perfkitbenchmarker import errors
from perfkitbenchmarker import flags
from perfkitbenchmarker import l... | true | true |
f720b4c65b03ffc9b7a16a20c28258f9373c712e | 1,316 | py | Python | app/modules/ssh.py | danielpodwysocki/zoltan | 52536c41e95ca7b641d4e2b740f68c9e00170aee | [
"MIT"
] | null | null | null | app/modules/ssh.py | danielpodwysocki/zoltan | 52536c41e95ca7b641d4e2b740f68c9e00170aee | [
"MIT"
] | null | null | null | app/modules/ssh.py | danielpodwysocki/zoltan | 52536c41e95ca7b641d4e2b740f68c9e00170aee | [
"MIT"
] | null | null | null | import re
import paramiko
class Handler:
'''
A slash command for checking ssh connectivity and rebooting machines.
'''
id = 2
def __init__(self, regexp):
'''
Takes a regexp as an argument, the regexp will then be used to check if the format of the hostname is correct
'''
... | 32.097561 | 117 | 0.569149 | import re
import paramiko
class Handler:
id = 2
def __init__(self, regexp):
self.prog = re.compile(regexp)
def command(self, message):
response = "Something went wrong :("
if not message:
response = "Run `/ssh [machine's name]` to see if the machine is reachable"
... | true | true |
f720b5b8dd20b02542407ce32d85af6fe11ca20b | 29,285 | py | Python | pyqstrat/account.py | alexanu/pyqstrat | ec62a1a7b048df05e8d1058a37bfe2cf113d2815 | [
"BSD-3-Clause"
] | null | null | null | pyqstrat/account.py | alexanu/pyqstrat | ec62a1a7b048df05e8d1058a37bfe2cf113d2815 | [
"BSD-3-Clause"
] | null | null | null | pyqstrat/account.py | alexanu/pyqstrat | ec62a1a7b048df05e8d1058a37bfe2cf113d2815 | [
"BSD-3-Clause"
] | null | null | null | from collections import defaultdict
from sortedcontainers import SortedDict
import math
import pandas as pd
import numpy as np
from pyqstrat.pq_types import ContractGroup, Trade, Contract
from types import SimpleNamespace
from typing import Sequence, Any, Tuple, Callable, Union, MutableSet, MutableSequence, MutableMapp... | 50.753899 | 155 | 0.625337 | from collections import defaultdict
from sortedcontainers import SortedDict
import math
import pandas as pd
import numpy as np
from pyqstrat.pq_types import ContractGroup, Trade, Contract
from types import SimpleNamespace
from typing import Sequence, Any, Tuple, Callable, Union, MutableSet, MutableSequence, MutableMapp... | true | true |
f720b5f3be28e969cd5ce5fed492f2e66b5c370c | 881 | py | Python | setup.py | bayjan/openrisknet_magkoufopoulou | b1ed6dea48d67243c9ac81eec59e5d7830ca68de | [
"MIT"
] | null | null | null | setup.py | bayjan/openrisknet_magkoufopoulou | b1ed6dea48d67243c9ac81eec59e5d7830ca68de | [
"MIT"
] | null | null | null | setup.py | bayjan/openrisknet_magkoufopoulou | b1ed6dea48d67243c9ac81eec59e5d7830ca68de | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Setup file for openrisknet_magkoufopoulou.
This file was generated with PyScaffold 3.0.3.
PyScaffold helps you to put up the scaffold of your new Python project.
Learn more under: http://pyscaffold.org/
"""
import sys
from setuptools import setup
# Ad... | 26.69697 | 75 | 0.713961 |
import sys
from setuptools import setup
entry_points = """
[console_scripts]
# script_name = openrisknet_magkoufopoulou.module:function
# For example:
# fibonacci = openrisknet_magkoufopoulou.skeleton:run
"""
def setup_package():
needs_sphinx = {'build_sphinx', 'upload_docs'}.intersection(sys.argv)
sphin... | true | true |
f720b71a384cd705368c6959d78e6566a4530fc2 | 349 | py | Python | materials/sp20/hw/hw01/tests/q9.py | ds-modules/Deepnote-demo | 548c12ced6cae774ecd0036aa1e8bb833af6472c | [
"BSD-3-Clause"
] | null | null | null | materials/sp20/hw/hw01/tests/q9.py | ds-modules/Deepnote-demo | 548c12ced6cae774ecd0036aa1e8bb833af6472c | [
"BSD-3-Clause"
] | null | null | null | materials/sp20/hw/hw01/tests/q9.py | ds-modules/Deepnote-demo | 548c12ced6cae774ecd0036aa1e8bb833af6472c | [
"BSD-3-Clause"
] | null | null | null | test = {
'name': 'q9',
'points': 1,
'suites': [
{
'cases': [
{
'code': r"""
>>> survey == "2020 vision"
True
""",
'hidden': False,
'locked': False
}
],
'scored': True,
'setup': '',
'teardown': '',
'... | 15.173913 | 37 | 0.312321 | test = {
'name': 'q9',
'points': 1,
'suites': [
{
'cases': [
{
'code': r"""
>>> survey == "2020 vision"
True
""",
'hidden': False,
'locked': False
}
],
'scored': True,
'setup': '',
'teardown': '',
'... | true | true |
f720b7d1ae3ebf2758b3f637eac569a944ecce67 | 291 | py | Python | utils/test_clear_data.py | M1d0r1/py_mantis | 8d2b05601b9240e76e2e07b50770e39df5bcade9 | [
"Apache-2.0"
] | null | null | null | utils/test_clear_data.py | M1d0r1/py_mantis | 8d2b05601b9240e76e2e07b50770e39df5bcade9 | [
"Apache-2.0"
] | null | null | null | utils/test_clear_data.py | M1d0r1/py_mantis | 8d2b05601b9240e76e2e07b50770e39df5bcade9 | [
"Apache-2.0"
] | null | null | null | import random
def test_clear_projects_helper(app):
while app.project.count()>0:
app.project.navigate_to_manage_projects_page()
old_projects = app.project.get_project_list()
project = random.choice(old_projects)
app.project.delete_by_name(project.name)
| 26.454545 | 54 | 0.725086 | import random
def test_clear_projects_helper(app):
while app.project.count()>0:
app.project.navigate_to_manage_projects_page()
old_projects = app.project.get_project_list()
project = random.choice(old_projects)
app.project.delete_by_name(project.name)
| true | true |
f720b849c7ccaf49918d5f8db7e3b19f11f3203f | 5,729 | py | Python | tempest/api/compute/admin/test_servers_negative.py | rishabh20111990/tempest | df15531cd4231000b0da016f5cd8641523ce984e | [
"Apache-2.0"
] | 2 | 2015-08-13T00:07:49.000Z | 2020-08-07T06:38:44.000Z | tempest/api/compute/admin/test_servers_negative.py | rishabh20111990/tempest | df15531cd4231000b0da016f5cd8641523ce984e | [
"Apache-2.0"
] | 1 | 2019-08-08T10:36:44.000Z | 2019-08-09T05:58:23.000Z | tempest/api/compute/admin/test_servers_negative.py | rishabh20111990/tempest | df15531cd4231000b0da016f5cd8641523ce984e | [
"Apache-2.0"
] | 5 | 2016-06-24T20:03:52.000Z | 2020-02-05T10:14:54.000Z | # Copyright 2013 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 applica... | 42.437037 | 78 | 0.64479 |
import testtools
from tempest.api.compute import base
from tempest.common import tempest_fixtures as fixtures
from tempest.common import waiters
from tempest import config
from tempest.lib.common.utils import data_utils
from tempest.lib import decorators
from tempest.lib import exceptions as lib_exc
CON... | true | true |
f720b868a2e8693f457acc29e9d2ffcfcf7e2f08 | 2,174 | py | Python | debug/ssd/test_ssd300.py | jjjkkkjjj/pytorch.dl | d82aa1191c14f328c62de85e391ac6fa1b4c7ee3 | [
"MIT"
] | 2 | 2021-02-06T22:40:13.000Z | 2021-03-26T09:15:34.000Z | debug/ssd/test_ssd300.py | jjjkkkjjj/pytorch.dl | d82aa1191c14f328c62de85e391ac6fa1b4c7ee3 | [
"MIT"
] | 8 | 2020-07-11T07:10:51.000Z | 2022-03-12T00:39:03.000Z | debug/ssd/test_ssd300.py | jjjkkkjjj/pytorch.dl | d82aa1191c14f328c62de85e391ac6fa1b4c7ee3 | [
"MIT"
] | 2 | 2021-03-26T09:19:42.000Z | 2021-07-27T02:38:09.000Z | from dl.data.objdetn import datasets, utils, target_transforms
from dl.data import transforms
from dl.models.ssd.ssd300 import SSD300
from dl.data.utils.converter import toVisualizeRectLabelRGBimg
from torch.utils.data import DataLoader
import cv2
if __name__ == '__main__':
augmentation = None
transform = tr... | 43.48 | 130 | 0.677553 | from dl.data.objdetn import datasets, utils, target_transforms
from dl.data import transforms
from dl.models.ssd.ssd300 import SSD300
from dl.data.utils.converter import toVisualizeRectLabelRGBimg
from torch.utils.data import DataLoader
import cv2
if __name__ == '__main__':
augmentation = None
transform = tr... | true | true |
f720b9d8103adc5ec7d583ef9b481eed71f4b5ce | 4,118 | py | Python | cinder/api/v3/backups.py | hashsos/hashcloudos-cinder | 6d8b648399e2160b419e3f9535eb520c7de9120e | [
"Apache-2.0"
] | null | null | null | cinder/api/v3/backups.py | hashsos/hashcloudos-cinder | 6d8b648399e2160b419e3f9535eb520c7de9120e | [
"Apache-2.0"
] | null | null | null | cinder/api/v3/backups.py | hashsos/hashcloudos-cinder | 6d8b648399e2160b419e3f9535eb520c7de9120e | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2016 Intel, Inc.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required ... | 37.099099 | 78 | 0.674114 |
from oslo_log import log as logging
from webob import exc
from cinder.api.contrib import backups as backups_v2
from cinder.api import microversions as mv
from cinder.api.openstack import wsgi
from cinder.api.v3.views import backups as backup_views
from cinder import exception
from cinder.i18n import _
... | true | true |
f720ba2b3e7006741b82f2fe08ab0e27de7bf237 | 8,422 | py | Python | discordware/_vendors/hype/parser.py | znqi/discordware | e456bf7b0314ef8f29fabb9fa69f8c979f34d655 | [
"MIT"
] | 13 | 2021-07-31T12:07:06.000Z | 2022-03-24T15:00:50.000Z | discordware/_vendors/hype/parser.py | znqi/discordware | e456bf7b0314ef8f29fabb9fa69f8c979f34d655 | [
"MIT"
] | 2 | 2021-08-02T14:04:58.000Z | 2021-09-06T09:35:20.000Z | discordware/_vendors/hype/parser.py | znqi/discordware | e456bf7b0314ef8f29fabb9fa69f8c979f34d655 | [
"MIT"
] | 3 | 2021-08-07T13:23:54.000Z | 2022-01-24T13:23:08.000Z |
# Copyright (c) 2021, Serum Studio
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, mer... | 31.425373 | 92 | 0.572786 |
from typing import List
from hype.command import HypeCommand
import optparse
from optparse import HelpFormatter
import sys
import textwrap
class HypeParser(optparse.OptionParser):
_HelpCommand = HypeCommand('help', help="All details about the commands", aliases=('?'))
def __init__(
... | true | true |
f720ba72a3c86311008ec04f4371a49d7784b17c | 433 | py | Python | xlwt/__init__.py | drmelectronic/MIT | e28a82cd02dcc52ac233b89b43f29ede00993d11 | [
"MIT"
] | 292 | 2015-09-12T14:19:32.000Z | 2022-02-19T08:46:12.000Z | xlwt/__init__.py | drmelectronic/MIT | e28a82cd02dcc52ac233b89b43f29ede00993d11 | [
"MIT"
] | 4 | 2015-11-18T08:10:14.000Z | 2017-03-25T13:32:20.000Z | xlwt/__init__.py | drmelectronic/MIT | e28a82cd02dcc52ac233b89b43f29ede00993d11 | [
"MIT"
] | 131 | 2015-09-14T06:32:03.000Z | 2021-06-11T02:31:38.000Z | # -*- coding: windows-1252 -*-
__VERSION__ = '0.7.4'
import sys
if sys.version_info[:2] < (2, 3):
print >> sys.stderr, "Sorry, xlwt requires Python 2.3 or later"
sys.exit(1)
from Workbook import Workbook
from Worksheet import Worksheet
from Row import Row
from Column import Column
from Formatting import Font... | 25.470588 | 68 | 0.741339 |
__VERSION__ = '0.7.4'
import sys
if sys.version_info[:2] < (2, 3):
print >> sys.stderr, "Sorry, xlwt requires Python 2.3 or later"
sys.exit(1)
from Workbook import Workbook
from Worksheet import Worksheet
from Row import Row
from Column import Column
from Formatting import Font, Alignment, Borders, Pattern,... | true | true |
f720bb34265c748c8a67a6a2025eb32ff567dad4 | 773 | py | Python | src/tools/reshape.py | Lin-Lei/CenterNet | 0778dfcf4fb8e5b013dda7ab8c680f232ca851b1 | [
"MIT"
] | null | null | null | src/tools/reshape.py | Lin-Lei/CenterNet | 0778dfcf4fb8e5b013dda7ab8c680f232ca851b1 | [
"MIT"
] | null | null | null | src/tools/reshape.py | Lin-Lei/CenterNet | 0778dfcf4fb8e5b013dda7ab8c680f232ca851b1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 23 16:06:35 2018
@author: libo
"""
from PIL import Image
import os
def image_resize(image_path, new_path): # 统一图片尺寸
print('============>>修改图片尺寸')
for img_name in os.listdir(image_path):
img_path = image_path + "/" + img_name # 获取该图片全称
image = Im... | 30.92 | 74 | 0.635188 |
from PIL import Image
import os
def image_resize(image_path, new_path):
print('============>>修改图片尺寸')
for img_name in os.listdir(image_path):
img_path = image_path + "/" + img_name
image = Image.open(img_path)
image = image.resize((512, 512))
image.save(new_pa... | true | true |
f720bbb8b5465f2391f8ff3bd20b2b9312393ba6 | 5,112 | py | Python | BlindTest/display.py | smart-fun/Raspberry | e2ac8caff2732786bc51a7c5ab64507e7a9a8fac | [
"Apache-2.0"
] | null | null | null | BlindTest/display.py | smart-fun/Raspberry | e2ac8caff2732786bc51a7c5ab64507e7a9a8fac | [
"Apache-2.0"
] | null | null | null | BlindTest/display.py | smart-fun/Raspberry | e2ac8caff2732786bc51a7c5ab64507e7a9a8fac | [
"Apache-2.0"
] | null | null | null | import pygame as pg
import pygame_widgets as pw
from math import sin, cos
SCREEN_WIDTH = 640
SCREEN_HEIGHT = 480
WHITE = (255,255,255)
YELLOW = (220,220,0)
RED = (220,0,0)
GREY = (180,180,180)
BLACK = (0,0,0)
GREEN = (0,200,0)
BUTTON_COLOR = (0,0,220)
BUTTON_HOVER_COLOR = GREEN
BUTTON_PRESS_COLOR = (0,100,0)
def cr... | 28.719101 | 101 | 0.635759 | import pygame as pg
import pygame_widgets as pw
from math import sin, cos
SCREEN_WIDTH = 640
SCREEN_HEIGHT = 480
WHITE = (255,255,255)
YELLOW = (220,220,0)
RED = (220,0,0)
GREY = (180,180,180)
BLACK = (0,0,0)
GREEN = (0,200,0)
BUTTON_COLOR = (0,0,220)
BUTTON_HOVER_COLOR = GREEN
BUTTON_PRESS_COLOR = (0,100,0)
def cr... | true | true |
f720bbc6a4f8599443bb6753b941ccb39af1e390 | 647 | py | Python | merchant/migrations/0001_initial.py | Pesenin-Team/pesenin | 6b3dcc84e6e48768ce231ffedc43c56981fc6606 | [
"MIT"
] | 4 | 2019-10-15T12:35:15.000Z | 2019-10-16T12:38:51.000Z | merchant/migrations/0001_initial.py | Pesenin-Team/pesenin | 6b3dcc84e6e48768ce231ffedc43c56981fc6606 | [
"MIT"
] | null | null | null | merchant/migrations/0001_initial.py | Pesenin-Team/pesenin | 6b3dcc84e6e48768ce231ffedc43c56981fc6606 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.6 on 2019-10-17 10:38
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Merchant',
fields=[
('id', ... | 26.958333 | 115 | 0.55796 |
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Merchant',
fields=[
('id', models.AutoField(auto_created=True, primary_key=... | true | true |
f720bbea22a5dbf7c0ffdeeda3c286344fc9500b | 12,806 | py | Python | protonvpn-applet.py | seadanda/protonvpn-applet | f32978192f523ed8ee661d200c508b221e0ffccd | [
"MIT"
] | 15 | 2019-09-13T07:11:52.000Z | 2021-05-23T10:13:57.000Z | protonvpn-applet.py | seadanda/pvpn-applet | f32978192f523ed8ee661d200c508b221e0ffccd | [
"MIT"
] | 11 | 2019-11-26T12:08:20.000Z | 2020-10-24T13:08:24.000Z | protonvpn-applet.py | seadanda/pvpn-applet | f32978192f523ed8ee661d200c508b221e0ffccd | [
"MIT"
] | 2 | 2019-11-24T00:44:55.000Z | 2020-06-28T20:31:42.000Z | #!/usr/bin/env python3
import sys
import subprocess
import functools
from enum import Enum
import gi
gi.require_version('Notify', '0.7')
from gi.repository import Notify
from PyQt5.QtWidgets import QApplication, QMainWindow, QWidget, QSystemTrayIcon, QMenu, QAction, qApp, QMessageBox
from PyQt5.QtCore import QSize, QT... | 33.878307 | 119 | 0.679291 |
import sys
import subprocess
import functools
from enum import Enum
import gi
gi.require_version('Notify', '0.7')
from gi.repository import Notify
from PyQt5.QtWidgets import QApplication, QMainWindow, QWidget, QSystemTrayIcon, QMenu, QAction, qApp, QMessageBox
from PyQt5.QtCore import QSize, QThread, pyqtSignal
from... | true | true |
f720bbec31bcc03b0a76267cc6d1919b2116ffc8 | 3,982 | py | Python | pygraphblas/demo/dnn.py | szarnyasg/pygraphblas | 7465ef6fcc77c9901869b70ddf1d77a86570c336 | [
"Apache-2.0"
] | null | null | null | pygraphblas/demo/dnn.py | szarnyasg/pygraphblas | 7465ef6fcc77c9901869b70ddf1d77a86570c336 | [
"Apache-2.0"
] | null | null | null | pygraphblas/demo/dnn.py | szarnyasg/pygraphblas | 7465ef6fcc77c9901869b70ddf1d77a86570c336 | [
"Apache-2.0"
] | null | null | null | import os
from functools import wraps, partial
from time import time
from statistics import mean
from pathlib import Path
from pygraphblas import *
from multiprocessing.pool import ThreadPool
from multiprocessing import cpu_count
NFEATURES = 60000
BIAS = {1024: -0.3, 4096: -0.35, 16384: -0.4, 65536: -0.45}
def timing... | 30.396947 | 76 | 0.594927 | import os
from functools import wraps, partial
from time import time
from statistics import mean
from pathlib import Path
from pygraphblas import *
from multiprocessing.pool import ThreadPool
from multiprocessing import cpu_count
NFEATURES = 60000
BIAS = {1024: -0.3, 4096: -0.35, 16384: -0.4, 65536: -0.45}
def timing... | true | true |
f720bca64500834838fa25d7053779b0ff0a3d49 | 1,252 | py | Python | backend/server.py | ryzbaka/Niyuddha | ca54a5c79b8e733aca494f996f05c10ef5cf4950 | [
"MIT"
] | null | null | null | backend/server.py | ryzbaka/Niyuddha | ca54a5c79b8e733aca494f996f05c10ef5cf4950 | [
"MIT"
] | null | null | null | backend/server.py | ryzbaka/Niyuddha | ca54a5c79b8e733aca494f996f05c10ef5cf4950 | [
"MIT"
] | null | null | null | from flask import Flask,jsonify,request
import os
from subprocess import PIPE,Popen
app = Flask(__name__)
@app.route("/",methods=["GET"])
def home():
return "Working"
@app.route("/sendcode",methods=["POST"])
def sendCode():
print(request.json)
owd = os.getcwd() # chdir into this once done executing.
u... | 36.823529 | 105 | 0.682907 | from flask import Flask,jsonify,request
import os
from subprocess import PIPE,Popen
app = Flask(__name__)
@app.route("/",methods=["GET"])
def home():
return "Working"
@app.route("/sendcode",methods=["POST"])
def sendCode():
print(request.json)
owd = os.getcwd()
username = request.json['username']
... | true | true |
f720bcd371ce68d744f5e4f9a76e113f3947b3e5 | 3,220 | py | Python | pyrasterframes/src/main/python/pyrasterframes/rf_context.py | mjohns-databricks/rasterframes | 44f40726b79e4b3600d6990b73c815b6f891be07 | [
"Apache-2.0"
] | 180 | 2018-03-21T13:34:08.000Z | 2022-03-19T03:31:24.000Z | pyrasterframes/src/main/python/pyrasterframes/rf_context.py | mjohns-databricks/rasterframes | 44f40726b79e4b3600d6990b73c815b6f891be07 | [
"Apache-2.0"
] | 442 | 2018-05-02T13:14:35.000Z | 2022-03-28T21:49:58.000Z | pyrasterframes/src/main/python/pyrasterframes/rf_context.py | mjohns-databricks/rasterframes | 44f40726b79e4b3600d6990b73c815b6f891be07 | [
"Apache-2.0"
] | 45 | 2018-05-03T13:46:04.000Z | 2022-01-30T23:16:00.000Z | #
# This software is licensed under the Apache 2 license, quoted below.
#
# Copyright 2019 Astraea, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# [http://www.apache.org/licenses/LI... | 32.525253 | 117 | 0.684472 |
from pyspark import SparkContext
from pyspark.sql import SparkSession
from typing import Any, List
from py4j.java_gateway import JavaMember
from py4j.java_collections import JavaList, JavaMap
from typing import Tuple
__all__ = ['RFContext']
class RFContext(object):
def __init__(self, spark_... | true | true |
f720bd0c2b5ca565bfafb6e86a7b848c423f5997 | 686 | py | Python | tests/scrubber/test_scrubber.py | scottkleinman/lexos | d362ddd05ef23b5173ce303eb7b08ff3583ac709 | [
"MIT"
] | null | null | null | tests/scrubber/test_scrubber.py | scottkleinman/lexos | d362ddd05ef23b5173ce303eb7b08ff3583ac709 | [
"MIT"
] | null | null | null | tests/scrubber/test_scrubber.py | scottkleinman/lexos | d362ddd05ef23b5173ce303eb7b08ff3583ac709 | [
"MIT"
] | null | null | null | """test_scrubber.py."""
# Import a minimal text loader class, the functions for scrubber pipelines,
# and the scrubber function registry
from lexos.io.basic import Loader
from lexos.scrubber.pipeline import make_pipeline
from lexos.scrubber.registry import scrubber_components
from lexos.scrubber.scrubber import Scrubb... | 26.384615 | 75 | 0.781341 |
from lexos.io.basic import Loader
from lexos.scrubber.pipeline import make_pipeline
from lexos.scrubber.registry import scrubber_components
from lexos.scrubber.scrubber import Scrubber
data = "tests/test_data/Austen_Pride.txt"
loader = Loader()
loader.load(data)
text = loader.texts[0]
lower_case = scrubber_compon... | true | true |
f720be44decd15c1c50cc613e248b09f157857d5 | 335 | py | Python | resources/ai/swagger/__init__.py | GMKrieger/ai_api | 9ed661d29afb3232b7930727d056abdedfb91b43 | [
"MIT"
] | null | null | null | resources/ai/swagger/__init__.py | GMKrieger/ai_api | 9ed661d29afb3232b7930727d056abdedfb91b43 | [
"MIT"
] | 10 | 2020-01-28T22:15:24.000Z | 2021-04-30T20:36:27.000Z | resources/ai/swagger/__init__.py | GMKrieger/ai_api | 9ed661d29afb3232b7930727d056abdedfb91b43 | [
"MIT"
] | null | null | null | """
swagger module -
A package defining the swagger features. This module creates the swagger
structure and defines the data to show when the swagger is activated.
It does not contain the html and css files used to create the page,
only the underlying structure. The html and css can be found at the sta... | 41.875 | 86 | 0.746269 | true | true | |
f720bf58d889e6191c183282ec836d74afba0701 | 704 | py | Python | tools/mo/openvino/tools/mo/front/caffe/grn_ext.py | pazamelin/openvino | b7e8ef910d7ed8e52326d14dc6fd53b71d16ed48 | [
"Apache-2.0"
] | 1 | 2019-09-22T01:05:07.000Z | 2019-09-22T01:05:07.000Z | tools/mo/openvino/tools/mo/front/caffe/grn_ext.py | pazamelin/openvino | b7e8ef910d7ed8e52326d14dc6fd53b71d16ed48 | [
"Apache-2.0"
] | 58 | 2020-11-06T12:13:45.000Z | 2022-03-28T13:20:11.000Z | tools/mo/openvino/tools/mo/front/caffe/grn_ext.py | pazamelin/openvino | b7e8ef910d7ed8e52326d14dc6fd53b71d16ed48 | [
"Apache-2.0"
] | 2 | 2021-07-14T07:40:50.000Z | 2021-07-27T01:40:03.000Z | # Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
from openvino.tools.mo.ops.grn import GRNOp
from openvino.tools.mo.front.caffe.collect_attributes import merge_attrs
from openvino.tools.mo.front.extractor import FrontExtractorOp
class GRNFrontExtractor(FrontExtractorOp):
op = 'GR... | 26.074074 | 72 | 0.693182 |
from openvino.tools.mo.ops.grn import GRNOp
from openvino.tools.mo.front.caffe.collect_attributes import merge_attrs
from openvino.tools.mo.front.extractor import FrontExtractorOp
class GRNFrontExtractor(FrontExtractorOp):
op = 'GRN'
enabled = True
@classmethod
def extract(cls, node):
prot... | true | true |
f720bf66d4521a60fee34b616ef7d1b5989d5e01 | 256 | py | Python | code/learn-AI/matplotlib/graph/sigmoid_function.py | lsieun/learn-AI | 0a164bc2e6317de3aa03c747c0e6f15d93e7f49a | [
"Apache-2.0"
] | 1 | 2019-03-27T23:22:44.000Z | 2019-03-27T23:22:44.000Z | code/learn-AI/matplotlib/graph/sigmoid_function.py | lsieun/learn-AI | 0a164bc2e6317de3aa03c747c0e6f15d93e7f49a | [
"Apache-2.0"
] | null | null | null | code/learn-AI/matplotlib/graph/sigmoid_function.py | lsieun/learn-AI | 0a164bc2e6317de3aa03c747c0e6f15d93e7f49a | [
"Apache-2.0"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
def func(x):
return 1 / (1 + np.exp(-x))
# Return evenly spaced numbers over a specified interval.
xdata = np.linspace(-8, 8, 960,endpoint=True)
ydata = func(xdata)
plt.plot(xdata,ydata)
plt.show() | 19.692308 | 57 | 0.707031 | import numpy as np
import matplotlib.pyplot as plt
def func(x):
return 1 / (1 + np.exp(-x))
xdata = np.linspace(-8, 8, 960,endpoint=True)
ydata = func(xdata)
plt.plot(xdata,ydata)
plt.show() | true | true |
f720bf6a9fb2642c27030209f924c321a1edff82 | 3,343 | py | Python | DownData/Link_down.py | Max-astro/A2Project | 5d40263742133f214936b06b622d08092e694aed | [
"MIT"
] | null | null | null | DownData/Link_down.py | Max-astro/A2Project | 5d40263742133f214936b06b622d08092e694aed | [
"MIT"
] | null | null | null | DownData/Link_down.py | Max-astro/A2Project | 5d40263742133f214936b06b622d08092e694aed | [
"MIT"
] | null | null | null | import requests
import sys
import h5py
import numpy as np
import os
def get(path, params=None, savedir=None):
# make HTTP GET request to path
headers = {"api-key":"27d44ba55cd115b10f2dd9153589aff0"}
r = requests.get(path, params=params, headers=headers)
# raise exception if response code is... | 29.324561 | 180 | 0.597368 | import requests
import sys
import h5py
import numpy as np
import os
def get(path, params=None, savedir=None):
headers = {"api-key":"27d44ba55cd115b10f2dd9153589aff0"}
r = requests.get(path, params=params, headers=headers)
r.raise_for_status()
if r.headers['content-type'] == 'app... | true | true |
f720bf86d570b0fdfb0907c0f3e9814300ec73f6 | 15,954 | py | Python | aphla/gui/qrangeslider.py | NSLS-II/aphla | ceb5410dc836a8fb16321b6dc5e10d442be765c5 | [
"BSD-3-Clause"
] | null | null | null | aphla/gui/qrangeslider.py | NSLS-II/aphla | ceb5410dc836a8fb16321b6dc5e10d442be765c5 | [
"BSD-3-Clause"
] | 1 | 2020-02-17T18:56:18.000Z | 2020-02-20T17:06:20.000Z | aphla/gui/qrangeslider.py | NSLS-II/aphla | ceb5410dc836a8fb16321b6dc5e10d442be765c5 | [
"BSD-3-Clause"
] | 1 | 2021-03-08T16:07:11.000Z | 2021-03-08T16:07:11.000Z | #!/usr/bin/env python
# ------------------------------------------------------------------------------
# Copyright (c) 2011-2012, Ryan Galloway (ryan@rsgalloway.com)
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# ... | 31.529644 | 109 | 0.573587 |
__author__ = "Ryan Galloway <ryan@rsgalloway.com>"
__version__ = "0.1"
import os
import sys
from PyQt4 import QtCore
from PyQt4 import QtGui
from PyQt4 import uic
try:
_fromUtf8 = QtCore.QString.fromUtf8
except AttributeError:
_fromUtf8 = lambda s: s
__all__ = ... | true | true |
f720c25b3abb18927b7fd60019577787312ad4c2 | 3,406 | py | Python | backend/remap/predictors.py | hugocalcad/remap_rev | fa435784f897b7f4186b8ff703b3e08f48160b9f | [
"Apache-2.0"
] | 17 | 2018-08-30T22:46:47.000Z | 2021-12-23T08:19:50.000Z | backend/remap/predictors.py | red-list-ecosystem/REMAP | e1e60c56dad76dc1927af5f24a30cb28144a91c8 | [
"Apache-2.0"
] | 3 | 2019-11-01T13:58:19.000Z | 2021-03-11T10:21:51.000Z | backend/remap/predictors.py | hugocalcad/remap_rev | fa435784f897b7f4186b8ff703b3e08f48160b9f | [
"Apache-2.0"
] | 2 | 2017-11-29T02:40:03.000Z | 2017-12-20T22:00:37.000Z | predictors = [
{
"description": "todo",
"long_name": "Normalised Difference Vegetation index",
"short_name": "NDVI",
"type": "Index",
"ee_import": 'LANDSAT/LC8_SR',
"checked": True,
"vis": True,
"ramp": '000000, 00FF00'
},
{
"descriptio... | 26 | 62 | 0.491486 | predictors = [
{
"description": "todo",
"long_name": "Normalised Difference Vegetation index",
"short_name": "NDVI",
"type": "Index",
"ee_import": 'LANDSAT/LC8_SR',
"checked": True,
"vis": True,
"ramp": '000000, 00FF00'
},
{
"descriptio... | true | true |
f720c4b0ba8a3112b5e4c2e356fdfa9e370b254c | 11,793 | py | Python | test/unit/mongo_class/server_connect.py | mjpernot/mongo-lib | be8aa4f0cbf7fdf475bf67c07df813ffc560c3ef | [
"MIT"
] | null | null | null | test/unit/mongo_class/server_connect.py | mjpernot/mongo-lib | be8aa4f0cbf7fdf475bf67c07df813ffc560c3ef | [
"MIT"
] | null | null | null | test/unit/mongo_class/server_connect.py | mjpernot/mongo-lib | be8aa4f0cbf7fdf475bf67c07df813ffc560c3ef | [
"MIT"
] | null | null | null | #!/usr/bin/python
# Classification (U)
"""Program: server_connect.py
Description: Unit testing of Server.connect in mongo_class.py.
Usage:
test/unit/mongo_class/server_connect.py
Arguments:
"""
# Libraries and Global Variables
# Standard
import sys
import os
if sys.version_info < (2, 7):
... | 27.425581 | 78 | 0.620114 |
import sys
import os
if sys.version_info < (2, 7):
import unittest2 as unittest
else:
import unittest
import mock
sys.path.append(os.getcwd())
import mongo_class
import version
__version__ = version.__version__
class UnitTest(unittest.TestCase):
def setUp(self):
self.name = "Mongo... | true | true |
f720c55c567a173b520fcbc4127c246b39b6746f | 8,696 | py | Python | tests/python/contrib/test_ethosn/test_networks.py | BaldLee/tvm | b53472c7b6afa34260afeffc5f088591352c58c3 | [
"Apache-2.0"
] | 10 | 2019-03-09T07:51:56.000Z | 2021-09-14T03:06:20.000Z | tests/python/contrib/test_ethosn/test_networks.py | BaldLee/tvm | b53472c7b6afa34260afeffc5f088591352c58c3 | [
"Apache-2.0"
] | 9 | 2021-10-20T13:48:52.000Z | 2021-12-09T07:14:24.000Z | tests/python/contrib/test_ethosn/test_networks.py | BaldLee/tvm | b53472c7b6afa34260afeffc5f088591352c58c3 | [
"Apache-2.0"
] | 5 | 2020-11-13T19:26:25.000Z | 2022-01-25T07:55:16.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 39.171171 | 100 | 0.700092 |
import pytest
pytest.importorskip("tflite")
pytest.importorskip("tensorflow")
from tvm import relay
from tvm.testing import requires_ethosn
from tvm.contrib import download
from tvm.testing import requires_ethosn
import tvm.relay.testing.tf as tf_testing
import tflite.Model
from . import infrastruc... | true | true |
f720c5e752d2911c7077e24ef935f054b6818fb0 | 6,799 | py | Python | source/Mlos.Python/mlos/Optimizers/RegressionModels/SklearnRidgeRegressionModelConfig.py | kkanellis/MLOS | 791d670a4c44467b2b4c9633f8aa1bebab50771f | [
"MIT"
] | 81 | 2020-08-25T17:08:05.000Z | 2022-03-19T08:58:56.000Z | source/Mlos.Python/mlos/Optimizers/RegressionModels/SklearnRidgeRegressionModelConfig.py | grlap/MLOS | f828cf2b46ed63d7c9b3bd6cef73b2027a7ad12a | [
"MIT"
] | 173 | 2020-08-25T17:38:04.000Z | 2021-11-02T19:34:00.000Z | source/Mlos.Python/mlos/Optimizers/RegressionModels/SklearnRidgeRegressionModelConfig.py | grlap/MLOS | f828cf2b46ed63d7c9b3bd6cef73b2027a7ad12a | [
"MIT"
] | 38 | 2020-08-25T20:49:14.000Z | 2022-03-16T16:30:27.000Z | #
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
#
from enum import Enum
from mlos.Spaces import SimpleHypergrid, ContinuousDimension, DiscreteDimension, CategoricalDimension, Point
from mlos.Spaces.Configs.DefaultConfigMeta import DefaultConfigMeta
class SklearnRidgeRegressionMod... | 49.268116 | 116 | 0.631563 |
from enum import Enum
from mlos.Spaces import SimpleHypergrid, ContinuousDimension, DiscreteDimension, CategoricalDimension, Point
from mlos.Spaces.Configs.DefaultConfigMeta import DefaultConfigMeta
class SklearnRidgeRegressionModelConfig(metaclass=DefaultConfigMeta):
class Solver(Enum):
AUTO... | true | true |
f720c7aa06d180672d2e8ae9ac3670dabcc51952 | 10,404 | py | Python | tensorflow_probability/substrates/meta/rewrite.py | varomodt/probability | d68de79e67c06ab46509744574a044ccb966c4d5 | [
"Apache-2.0"
] | 1 | 2020-01-16T02:19:34.000Z | 2020-01-16T02:19:34.000Z | tensorflow_probability/substrates/meta/rewrite.py | varomodt/probability | d68de79e67c06ab46509744574a044ccb966c4d5 | [
"Apache-2.0"
] | null | null | null | tensorflow_probability/substrates/meta/rewrite.py | varomodt/probability | d68de79e67c06ab46509744574a044ccb966c4d5 | [
"Apache-2.0"
] | 1 | 2020-10-19T11:24:40.000Z | 2020-10-19T11:24:40.000Z | # Copyright 2019 The TensorFlow Probability Authors.
#
# Licensed under the Apache License, Version 2.0 (the 'License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 40.48249 | 78 | 0.663975 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
from absl import app
from absl import flags
flags.DEFINE_boolean('numpy_to_jax', False,
'Whether or not to rewrite numpy imports to jax.numpy')
flags.DE... | true | true |
f720c8e34817cce8439e26b7ffd83fa810781ad6 | 35,031 | py | Python | Pilot1/Combo/combo_dose.py | j-woz/Benchmarks | d518162fdafb7cfa26071b6a30a3b456dad024f6 | [
"MIT"
] | 2 | 2021-02-06T06:47:19.000Z | 2021-02-24T13:45:02.000Z | Pilot1/Combo/combo_dose.py | j-woz/Benchmarks | d518162fdafb7cfa26071b6a30a3b456dad024f6 | [
"MIT"
] | null | null | null | Pilot1/Combo/combo_dose.py | j-woz/Benchmarks | d518162fdafb7cfa26071b6a30a3b456dad024f6 | [
"MIT"
] | 1 | 2019-08-14T14:29:42.000Z | 2019-08-14T14:29:42.000Z | #! /usr/bin/env python
from __future__ import division, print_function
import argparse
import collections
import logging
import os
import random
import threading
import numpy as np
import pandas as pd
from itertools import cycle, islice
import keras
from keras import backend as K
from keras import optimizers
from ... | 40.876313 | 187 | 0.61163 |
from __future__ import division, print_function
import argparse
import collections
import logging
import os
import random
import threading
import numpy as np
import pandas as pd
from itertools import cycle, islice
import keras
from keras import backend as K
from keras import optimizers
from keras.models import Mo... | true | true |
f720c93c4cd30b631b5aa4846951a414fc4befea | 8,078 | py | Python | nets/mobilenet/mobilenet_v2.py | Popcorn-sugar/Deep_v2 | 23c25f74e36016658558e690890499bc7fd2aeb2 | [
"MIT"
] | null | null | null | nets/mobilenet/mobilenet_v2.py | Popcorn-sugar/Deep_v2 | 23c25f74e36016658558e690890499bc7fd2aeb2 | [
"MIT"
] | null | null | null | nets/mobilenet/mobilenet_v2.py | Popcorn-sugar/Deep_v2 | 23c25f74e36016658558e690890499bc7fd2aeb2 | [
"MIT"
] | null | null | null | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 37.225806 | 80 | 0.694974 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import copy
import functools
import tensorflow as tf
from nets.mobilenet import conv_blocks as ops
from nets.mobilenet import mobilenet as lib
import tf_slim as slim
op = lib.op
expand_input ... | true | true |
f720cb08684941936d653c433957364d390d8967 | 3,246 | py | Python | mt/preprocess/1_process_raw.py | salvacarrion/nmt-continual-learning | 302147ac9c270f3341a68a72c803c457f05ff37b | [
"MIT"
] | 1 | 2021-05-26T11:35:09.000Z | 2021-05-26T11:35:09.000Z | mt/preprocess/1_process_raw.py | salvacarrion/nmt-continual-learning | 302147ac9c270f3341a68a72c803c457f05ff37b | [
"MIT"
] | 1 | 2021-05-26T11:36:24.000Z | 2021-05-26T11:36:24.000Z | mt/preprocess/1_process_raw.py | salvacarrion/nmt-continual-learning | 302147ac9c270f3341a68a72c803c457f05ff37b | [
"MIT"
] | null | null | null | import os
import pandas as pd
from pathlib import Path
import numpy as np
from mt import RAW_PATH
from mt import utils
SUFFLE = True
CONSTRAINED = True
TR_DATA_PATH = "/home/salva/Documents/Programming/Datasets/scielo/originals/scielo-gma/scielo-gma"
TR_RAW_FILES = ["es-en-gma-biological.csv", "es-en-gma-health.csv"... | 35.282609 | 117 | 0.594886 | import os
import pandas as pd
from pathlib import Path
import numpy as np
from mt import RAW_PATH
from mt import utils
SUFFLE = True
CONSTRAINED = True
TR_DATA_PATH = "/home/salva/Documents/Programming/Datasets/scielo/originals/scielo-gma/scielo-gma"
TR_RAW_FILES = ["es-en-gma-biological.csv", "es-en-gma-health.csv"... | true | true |
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