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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
07915aac7804509d8daa27f0a06836f1ec42314d | 739 | py | Python | src/sentry/api/endpoints/project_tags.py | seukjung/sentry-custom | c5f6bb2019aef3caff7f3e2b619f7a70f2b9b963 | [
"BSD-3-Clause"
] | 1 | 2021-08-10T06:07:13.000Z | 2021-08-10T06:07:13.000Z | src/sentry/api/endpoints/project_tags.py | fotinakis/sentry | c5cfa5c5e47475bf5ef41e702548c2dfc7bb8a7c | [
"BSD-3-Clause"
] | 8 | 2019-12-28T23:49:55.000Z | 2022-03-02T04:34:18.000Z | src/sentry/api/endpoints/project_tags.py | fotinakis/sentry | c5cfa5c5e47475bf5ef41e702548c2dfc7bb8a7c | [
"BSD-3-Clause"
] | 1 | 2017-04-08T04:09:18.000Z | 2017-04-08T04:09:18.000Z | from __future__ import absolute_import
import six
from rest_framework.response import Response
from sentry.api.bases.project import ProjectEndpoint
from sentry.models import TagKey, TagKeyStatus
| 26.392857 | 64 | 0.626522 |
07919b5c6e89a71c84a3a15315c4e1b2767495ce | 871 | py | Python | examples/02 - callbacks/callbacks.py | TensorTom/async-Eel | d6484b6c5c9f89b64f5119d908fcdf29b173bd57 | [
"MIT"
] | 9 | 2019-06-17T22:11:01.000Z | 2021-08-30T17:36:13.000Z | examples/02 - callbacks/callbacks.py | TensorTom/async-Eel | d6484b6c5c9f89b64f5119d908fcdf29b173bd57 | [
"MIT"
] | 4 | 2020-08-17T18:39:21.000Z | 2021-08-29T02:54:23.000Z | examples/02 - callbacks/callbacks.py | TensorTom/async-Eel | d6484b6c5c9f89b64f5119d908fcdf29b173bd57 | [
"MIT"
] | 3 | 2020-02-27T03:40:05.000Z | 2021-03-09T11:52:32.000Z | from __future__ import print_function # For Py2/3 compatibility
import async_eel
import random
import asyncio
loop = asyncio.get_event_loop()
async def print_num(n):
"""callback of js_random"""
print('Got this from Javascript:', n)
if __name__ == '__main__':
asyncio.run_coroutine_threadsafe(main(), loop)
loop.run_forever()
| 22.921053 | 85 | 0.686567 |
079304ab36eaaab974694a2714de62dfde9010a0 | 1,578 | py | Python | datacube/index/_api.py | AMA-AC/datacube-core | 0d2fe0792cb9298cc93d1a97bbb921cfa59d6f2d | [
"Apache-2.0"
] | 2 | 2019-10-24T15:29:54.000Z | 2019-10-24T15:29:58.000Z | datacube/index/_api.py | AMA-AC/datacube-core | 0d2fe0792cb9298cc93d1a97bbb921cfa59d6f2d | [
"Apache-2.0"
] | 2 | 2021-03-26T00:37:36.000Z | 2021-03-31T20:05:01.000Z | datacube/index/_api.py | PhilipeRLeal/datacube-core | 81bed714f2e5cb30a2492f1b0cf3397b79141c3a | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
"""
Access methods for indexing datasets & products.
"""
import logging
from datacube.config import LocalConfig
from datacube.drivers import index_driver_by_name, index_drivers
from .index import Index
_LOG = logging.getLogger(__name__)
def index_connect(local_config=None, application_name=None, validate_connection=True):
# type: (LocalConfig, str, bool) -> Index
"""
Create a Data Cube Index that can connect to a PostgreSQL server
It contains all the required connection parameters, but doesn't actually
check that the server is available.
:param application_name: A short, alphanumeric name to identify this application.
:param datacube.config.LocalConfig local_config: Config object to use. (optional)
:param validate_connection: Validate database connection and schema immediately
:rtype: datacube.index.index.Index
:raises datacube.drivers.postgres._connections.IndexSetupError:
"""
if local_config is None:
local_config = LocalConfig.find()
driver_name = local_config.get('index_driver', 'default')
index_driver = index_driver_by_name(driver_name)
if not index_driver:
raise RuntimeError(
"No index driver found for %r. %s available: %s" % (
driver_name, len(index_drivers()), ', '.join(index_drivers())
)
)
return index_driver.connect_to_index(local_config,
application_name=application_name,
validate_connection=validate_connection)
| 35.863636 | 86 | 0.697085 |
079480b6c82dd74c78bc4155e46e5d2906c6b673 | 6,560 | py | Python | pgarchives/loader/load_message.py | WeilerWebServices/PostgreSQL | ae594ed077bebbad1be3c1d95c38b7c2c2683e8c | [
"PostgreSQL"
] | null | null | null | pgarchives/loader/load_message.py | WeilerWebServices/PostgreSQL | ae594ed077bebbad1be3c1d95c38b7c2c2683e8c | [
"PostgreSQL"
] | null | null | null | pgarchives/loader/load_message.py | WeilerWebServices/PostgreSQL | ae594ed077bebbad1be3c1d95c38b7c2c2683e8c | [
"PostgreSQL"
] | null | null | null | #!/usr/bin/env python3
#
# load_message.py - takes a single email or mbox formatted
# file on stdin or in a file and reads it into the database.
#
import os
import sys
from optparse import OptionParser
from configparser import ConfigParser
import psycopg2
from lib.storage import ArchivesParserStorage
from lib.mbox import MailboxBreakupParser
from lib.exception import IgnorableException
from lib.log import log, opstatus
from lib.varnish import VarnishPurger
if __name__ == "__main__":
optparser = OptionParser()
optparser.add_option('-l', '--list', dest='list', help='Name of list to load message for')
optparser.add_option('-d', '--directory', dest='directory', help='Load all messages in directory')
optparser.add_option('-m', '--mbox', dest='mbox', help='Load all messages in mbox')
optparser.add_option('-i', '--interactive', dest='interactive', action='store_true', help='Prompt after each message')
optparser.add_option('-v', '--verbose', dest='verbose', action='store_true', help='Verbose output')
optparser.add_option('--force-date', dest='force_date', help='Override date (used for dates that can\'t be parsed)')
optparser.add_option('--filter-msgid', dest='filter_msgid', help='Only process message with given msgid')
(opt, args) = optparser.parse_args()
if (len(args)):
print("No bare arguments accepted")
optparser.print_usage()
sys.exit(1)
if not opt.list:
print("List must be specified")
optparser.print_usage()
sys.exit(1)
if opt.directory and opt.mbox:
print("Can't specify both directory and mbox!")
optparser.print_usage()
sys.exit(1)
if opt.force_date and (opt.directory or opt.mbox) and not opt.filter_msgid:
print("Can't use force_date with directory or mbox - only individual messages")
optparser.print_usage()
sys.exit(1)
if opt.filter_msgid and not (opt.directory or opt.mbox):
print("filter_msgid makes no sense without directory or mbox!")
optparser.print_usage()
sys.exit(1)
log.set(opt.verbose)
cfg = ConfigParser()
cfg.read('%s/archives.ini' % os.path.realpath(os.path.dirname(sys.argv[0])))
try:
connstr = cfg.get('db', 'connstr')
except Exception:
connstr = 'need_connstr'
conn = psycopg2.connect(connstr)
curs = conn.cursor()
# Take an advisory lock to force serialization.
# We could do this "properly" by reordering operations and using ON CONFLICT,
# but concurrency is not that important and this is easier...
try:
curs.execute("SET statement_timeout='30s'")
curs.execute("SELECT pg_advisory_xact_lock(8059944559669076)")
except Exception as e:
print(("Failed to wait on advisory lock: %s" % e))
sys.exit(1)
# Get the listid we're working on
curs.execute("SELECT listid FROM lists WHERE listname=%(list)s", {
'list': opt.list
})
r = curs.fetchall()
if len(r) != 1:
log.error("List %s not found" % opt.list)
conn.close()
sys.exit(1)
listid = r[0][0]
purges = set()
if opt.directory:
# Parse all files in directory
for x in os.listdir(opt.directory):
log.status("Parsing file %s" % x)
with open(os.path.join(opt.directory, x)) as f:
ap = ArchivesParserStorage()
ap.parse(f)
if opt.filter_msgid and not ap.is_msgid(opt.filter_msgid):
continue
try:
ap.analyze(date_override=opt.force_date)
except IgnorableException as e:
log_failed_message(listid, "directory", os.path.join(opt.directory, x), ap, e)
opstatus.failed += 1
continue
ap.store(conn, listid)
purges.update(ap.purges)
if opt.interactive:
print("Interactive mode, committing transaction")
conn.commit()
print("Proceed to next message with Enter, or input a period (.) to stop processing")
x = input()
if x == '.':
print("Ok, aborting!")
break
print("---------------------------------")
elif opt.mbox:
if not os.path.isfile(opt.mbox):
print("File %s does not exist" % opt.mbox)
sys.exit(1)
mboxparser = MailboxBreakupParser(opt.mbox)
while not mboxparser.EOF:
ap = ArchivesParserStorage()
msg = next(mboxparser)
if not msg:
break
ap.parse(msg)
if opt.filter_msgid and not ap.is_msgid(opt.filter_msgid):
continue
try:
ap.analyze(date_override=opt.force_date)
except IgnorableException as e:
log_failed_message(listid, "mbox", opt.mbox, ap, e)
opstatus.failed += 1
continue
ap.store(conn, listid)
purges.update(ap.purges)
if mboxparser.returncode():
log.error("Failed to parse mbox:")
log.error(mboxparser.stderr_output())
sys.exit(1)
else:
# Parse single message on stdin
ap = ArchivesParserStorage()
ap.parse(sys.stdin.buffer)
try:
ap.analyze(date_override=opt.force_date)
except IgnorableException as e:
log_failed_message(listid, "stdin", "", ap, e)
conn.close()
sys.exit(1)
ap.store(conn, listid)
purges.update(ap.purges)
if opstatus.stored:
log.log("Stored message with message-id %s" % ap.msgid)
conn.commit()
conn.close()
opstatus.print_status()
VarnishPurger(cfg).purge(purges)
| 35.846995 | 150 | 0.594817 |
079486c9e4c55ef02a54afabc6964be8635f9540 | 860 | py | Python | shop/migrations/0009_auto_20200310_1430.py | manson800819/test | 6df7d92eababe76a54585cb8102a00a6d79ca467 | [
"MIT"
] | null | null | null | shop/migrations/0009_auto_20200310_1430.py | manson800819/test | 6df7d92eababe76a54585cb8102a00a6d79ca467 | [
"MIT"
] | null | null | null | shop/migrations/0009_auto_20200310_1430.py | manson800819/test | 6df7d92eababe76a54585cb8102a00a6d79ca467 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.29 on 2020-03-10 14:30
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
| 27.741935 | 123 | 0.612791 |
079607c3763787747e103898caecb5035367fd71 | 1,351 | py | Python | lib/dataset/iNaturalist.py | jrcai/ACE | 1e2b04d1cf4bb517f107664ac489a1a96e95a4c1 | [
"MIT"
] | 18 | 2021-08-06T01:15:32.000Z | 2022-03-14T07:09:39.000Z | lib/dataset/iNaturalist.py | jrcai/BagofTricks-LT | d75b195367e3d535d316d134ec4bbef4bb7fcbdd | [
"MIT"
] | 2 | 2021-09-24T03:29:17.000Z | 2021-11-22T19:18:58.000Z | lib/dataset/iNaturalist.py | jrcai/BagofTricks-LT | d75b195367e3d535d316d134ec4bbef4bb7fcbdd | [
"MIT"
] | 2 | 2021-10-17T18:09:20.000Z | 2021-11-08T04:19:19.000Z | from dataset.baseset import BaseSet
import random, cv2
import numpy as np
| 32.95122 | 104 | 0.623982 |
079659eddea08dcb5566544e99167b54c9eb8c33 | 27,964 | py | Python | tests/test_conferences.py | mattclark/osf.io | 7a362ceb6af3393d3d0423aafef336ee13277303 | [
"Apache-2.0"
] | null | null | null | tests/test_conferences.py | mattclark/osf.io | 7a362ceb6af3393d3d0423aafef336ee13277303 | [
"Apache-2.0"
] | 80 | 2015-02-25T15:12:15.000Z | 2015-06-11T18:44:55.000Z | tests/test_conferences.py | mattclark/osf.io | 7a362ceb6af3393d3d0423aafef336ee13277303 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import mock
from nose.tools import * # noqa (PEP8 asserts)
import hmac
import hashlib
from StringIO import StringIO
from django.core.exceptions import ValidationError
from django.db import IntegrityError
import furl
from framework.auth import get_or_create_user
from framework.auth.core import Auth
from osf.models import OSFUser, AbstractNode
from addons.wiki.models import WikiVersion
from osf.exceptions import BlacklistedEmailError
from website import settings
from website.conferences import views
from website.conferences import utils, message
from website.util import api_url_for, web_url_for
from tests.base import OsfTestCase, fake
from osf_tests.factories import ConferenceFactory, ProjectFactory, UserFactory
class TestProvisionNode(ContextTestCase):
| 36.506527 | 114 | 0.611357 |
079711a016ea4fa9510f792cc6a93c56f3a684e5 | 4,060 | py | Python | socket_tentacles/__init__.py | innovationgarage/socket-tentacles | 1cfbf7649017493fafacfcbc96cd05f3c4c5d6b6 | [
"MIT"
] | null | null | null | socket_tentacles/__init__.py | innovationgarage/socket-tentacles | 1cfbf7649017493fafacfcbc96cd05f3c4c5d6b6 | [
"MIT"
] | null | null | null | socket_tentacles/__init__.py | innovationgarage/socket-tentacles | 1cfbf7649017493fafacfcbc96cd05f3c4c5d6b6 | [
"MIT"
] | 1 | 2019-11-01T12:38:20.000Z | 2019-11-01T12:38:20.000Z | import socketserver
import socket
import sys
import threading
import json
import queue
import time
import datetime
import traceback
def run(config, handlers):
server = Server(handlers)
server.configure(config)
return server
| 31.472868 | 107 | 0.580049 |
0797199eb44c9067c6481782c2b094efbd8e10a6 | 3,917 | py | Python | G5/DerivedData/ParameterProbing/checkme.py | shooking/ZoomPedalFun | 7b9f5f4441cfe42e988e06cf6b98603c21ac2466 | [
"CC0-1.0"
] | 9 | 2021-02-15T00:05:32.000Z | 2022-01-24T14:01:46.000Z | G5/DerivedData/ParameterProbing/checkme.py | shooking/ZoomPedalFun | 7b9f5f4441cfe42e988e06cf6b98603c21ac2466 | [
"CC0-1.0"
] | 13 | 2021-08-23T02:07:26.000Z | 2022-02-16T16:55:00.000Z | G5/DerivedData/ParameterProbing/checkme.py | shooking/ZoomPedalFun | 7b9f5f4441cfe42e988e06cf6b98603c21ac2466 | [
"CC0-1.0"
] | null | null | null | # -*- coding: ascii -*-
import sys
import json
# handles a zoom firmware
if __name__ == "__main__":
if len(sys.argv) == 2:
f = open(sys.argv[1], "rb")
data = f.read()
f.close()
check(data)
| 40.381443 | 129 | 0.451876 |
0797927e3d7bde5eb907276662251361ce156da5 | 475 | py | Python | leehao/learn63.py | pilihaotian/pythonlearning | e84b7766cc9ea8131e9720fb1f06761c9581d0da | [
"Apache-2.0"
] | 1 | 2020-02-26T14:52:17.000Z | 2020-02-26T14:52:17.000Z | leehao/learn63.py | pilihaotian/pythonlearning | e84b7766cc9ea8131e9720fb1f06761c9581d0da | [
"Apache-2.0"
] | null | null | null | leehao/learn63.py | pilihaotian/pythonlearning | e84b7766cc9ea8131e9720fb1f06761c9581d0da | [
"Apache-2.0"
] | null | null | null | # 6 a-zA-Z0-9
import random
source = ''
lower_char = [chr(x) for x in range(ord('a'), ord('z') + 1)]
upper_char = [chr(x) for x in range(ord('A'), ord('Z') + 1)]
number_char = [chr(x) for x in range(ord('0'), ord('9') + 1)]
source += "".join(lower_char)
source += "".join(upper_char)
source += "".join(number_char)
source += "_"
print(source)
# 20
while True:
s = "".join(random.sample(source, 20))
if '_' in s:
print(s)
break
| 23.75 | 61 | 0.591579 |
0799d6264b46d419f66659960f9e80e3239bdd1c | 1,237 | py | Python | gbic/tests.py | fga-eps-mds/2017.2-SiGI-Op_API | 4532019c15414fd17e06bb3aa78501886e00da1d | [
"BSD-3-Clause"
] | 6 | 2017-08-24T13:18:21.000Z | 2017-10-03T18:06:13.000Z | gbic/tests.py | fga-gpp-mds/2017.2-Grupo9 | 4532019c15414fd17e06bb3aa78501886e00da1d | [
"BSD-3-Clause"
] | 173 | 2017-08-31T15:29:01.000Z | 2017-12-14T13:40:13.000Z | gbic/tests.py | fga-gpp-mds/2017.2-SiGI-Op_API | 4532019c15414fd17e06bb3aa78501886e00da1d | [
"BSD-3-Clause"
] | 2 | 2018-11-19T10:33:00.000Z | 2019-06-19T22:35:43.000Z | from django.test import TestCase
from rest_framework.test import APIRequestFactory
from .models import GBIC, GBICType
from .views import GBICListViewSet
# Create your tests here.
| 35.342857 | 74 | 0.672595 |
079a7acf6ad24d3b711dca5d0ee7ae05fdfe00c0 | 23,239 | py | Python | fruits/core/fruit.py | alienkrieg/fruits | b3b4b6afd7f97d2d4060909689f9811dc97981ed | [
"MIT"
] | 4 | 2021-10-08T11:14:54.000Z | 2021-12-30T13:56:32.000Z | fruits/core/fruit.py | alienkrieg/fruits | b3b4b6afd7f97d2d4060909689f9811dc97981ed | [
"MIT"
] | null | null | null | fruits/core/fruit.py | alienkrieg/fruits | b3b4b6afd7f97d2d4060909689f9811dc97981ed | [
"MIT"
] | null | null | null | import inspect
from typing import List, Union, Set, Any
import numpy as np
from fruits.cache import Cache, CoquantileCache
from fruits.scope import force_input_shape, FitTransform
from fruits.core.callback import AbstractCallback
from fruits.signature.iss import SignatureCalculator, CachePlan
from fruits.words.word import Word
from fruits.sieving.abstract import FeatureSieve
from fruits.preparation.abstract import DataPreparateur
def branch(self, index: int = None):
"""Returns the currently selected branch or the branch with the
given index.
:rtype: FruitBranch
"""
if index is None:
return self._branches[self._cbi]
return self._branches[index]
def branches(self) -> list:
"""Returns all branches of this Fruit object.
:rtype: list
"""
return self._branches
def switch_branch(self, index: int):
"""Switches to the branch with the given index.
:param index: Integer in ``[0, 1, ..., len(self.branches())-1]``
:type index: int
"""
if not (0 <= index < len(self._branches)):
raise IndexError("Index has to be in [0, len(self.branches()))")
self._cbi = index
def add(self, *objects: Union[FitTransform, Word, type]):
"""Adds one or multiple object(s) to the currently selected
branch.
:param objects: One or more objects of the following types:
- :class:`~fruits.preparation.abstract.DataPreparateur`
- :class:`~fruits.words.word.Word`
- :class:`~fruits.sieving.abstract.FeatureSieve`
:type objects: Union[FitTransform, Word]
"""
if len(self._branches) == 0:
self.fork()
self._branches[self._cbi].add(*objects)
self._fitted = False
def nfeatures(self) -> int:
"""Returns the total number of features of all branches
combined.
:rtype: int
"""
return sum([branch.nfeatures() for branch in self._branches])
def configure(self, **kwargs: Any):
"""Makes changes to the default configuration of a all branches
if arguments differ from ``None``.
:param kwargs: For possible options, have a look at
:meth:`fruits.core.fruit.FruitBranch.configure`.
:type kwargs: Any
"""
for branch in self._branches:
branch.configure(**kwargs)
def fit(self, X: np.ndarray):
"""Fits all branches to the given data.
:param X: (Multidimensional) time series dataset as an array
of three dimensions. Have a look at
:meth:`~fruits.scope.force_input_shape`.
:type X: np.ndarray
"""
for branch in self._branches:
branch.fit(X)
self._fitted = True
def transform(self, X: np.ndarray,
callbacks: List[AbstractCallback] = []) -> np.ndarray:
"""Returns a two dimensional array of all features from all
branches this Fruit object contains.
:param X: (Multidimensional) time series dataset as an array
of three dimensions. Have a look at
:meth:`~fruits.scope.force_input_shape`.
:type X: np.ndarray
:param callbacks: List of callbacks. To write your own callback,
override the class
:class:`~fruits.core.callback.AbstractCallback`.,
defaults to None
:type callbacks: List[AbstractCallback], optional
:rtype: np.ndarray
:raises: RuntimeError if Fruit.fit wasn't called
"""
if not self._fitted:
raise RuntimeError("Missing call of self.fit")
result = np.zeros((X.shape[0], self.nfeatures()))
index = 0
for branch in self._branches:
for callback in callbacks:
callback.on_next_branch()
k = branch.nfeatures()
result[:, index:index+k] = branch.transform(X, callbacks)
index += k
result = np.nan_to_num(result, copy=False, nan=0.0)
return result
def fit_transform(self, X: np.ndarray) -> np.ndarray:
"""Fits all branches to the given dataset and returns the
transformed results of X from all branches.
:param X: (Multidimensional) time series dataset
:type X: np.ndarray
:returns: Two dimensional feature array
:rtype: np.ndarray
"""
self.fit(X)
return self.transform(X)
def summary(self) -> str:
"""Returns a summary of this object. The summary contains a
summary for each FruitBranch in this Fruit object.
:rtype: str
"""
summary = "{:=^80}".format(f"Summary of fruits.Fruit: '{self.name}'")
summary += f"\nBranches: {len(self.branches())}"
summary += f"\nFeatures: {self.nfeatures()}"
for branch in self.branches():
summary += "\n\n" + branch.summary()
summary += "\n{:=^80}".format(f"End of Summary")
return summary
def copy(self) -> "Fruit":
"""Creates a shallow copy of this Fruit object.
This also creates shallow copies of all branches in this object.
:rtype: Fruit
"""
copy_ = Fruit(self.name+" (Copy)")
for branch in self._branches:
copy_.fork(branch.copy())
return copy_
def deepcopy(self) -> "Fruit":
"""Creates a deep copy of this Fruit object.
This also creates deep copies of all branches in this object.
:rtype: Fruit
"""
copy_ = Fruit(self.name+" (Copy)")
for branch in self._branches:
copy_.fork(branch.deepcopy())
return copy_
class FruitBranch:
"""One branch of a Fruit object.
A FruitBranch object extracts values from time series data that are
somehow representative of the input data.
The user can customize any of the following three steps.
- Preparing data:
Apply functions at the start of the extraction procedure.
There are many so called
:class:`~fruits.preparation.abstract.DataPreparateur`
objects in fruits available for preprocessing. The
preparateurs will be applied sequentially to the input data.
- Calculating Iterated Sums:
The preprocessed data is now used to calculate the iterated
sums signature for different
:class:`~fruits.words.word.Word` objects the user can
specify.
- Extracting Features:
Each :class:`~fruits.sieving.abstract.FeatureSieve` added to
the branch will be fitted on the iterated sums from the
previous step. The branch then returns an array of numbers
(the transformed results from those sieves), i.e. the
features for each time series.
"""
def configure(self,
mode: str = None,
batch_size: int = None,
fit_sample_size: Union[float, int] = None):
"""Makes changes to the default configuration of a fruit branch
if arguments differ from ``None``.
:param mode: See
:meth:`fruits.signature.iss.SignatureCalculator.transform`,
defaults to None
:type mode: str, optional
:param batch_size: See
:meth:`~ruits.signature.iss.SignatureCalculator.transform`,
defaults to None
:type batch_size: int, optional
:param fit_sample_size: Size of the random time series sample
that is used for fitting. This is represented as a float
which will be multiplied by ``X.shape[0]`` or ``1`` for one
random time series., defaults to 1
:type fit_sample_size: Union[float, int]
"""
if mode is not None:
self._calculator_options["mode"] = mode
if batch_size is not None:
self._calculator_options["batch_size"] = batch_size
if fit_sample_size is not None:
self._fit_sample_size = fit_sample_size
def add_preparateur(self, preparateur: DataPreparateur):
"""Adds a preparateur to the branch.
:type preparateur: DataPreparateur
"""
if not isinstance(preparateur, DataPreparateur):
raise TypeError
self._preparateurs.append(preparateur)
self._fitted = False
def get_preparateurs(self) -> List[DataPreparateur]:
"""Returns a list of all preparateurs added to the
branch.
:rtype: List[DataPreparateur]
"""
return self._preparateurs
def clear_preparateurs(self):
"""Removes all preparateurs that were added to this branch."""
self._preparateurs = []
self._fitted = False
def add_word(self, word: Word):
"""Adds a word to the branch.
:type word: Word
"""
if not isinstance(word, Word):
raise TypeError
self._words.append(word)
self._fitted = False
def get_words(self) -> List[Word]:
"""Returns a list of all words in the branch.
:rtype: List[Word]
"""
return self._words
def clear_words(self):
"""Removes all words that were added to this branch."""
self._words = []
self._sieves_extended = []
self._fitted = False
def add_sieve(self, sieve: FeatureSieve):
"""Appends a new feature sieve to the FruitBranch.
:type sieve: FeatureSieve
"""
if not isinstance(sieve, FeatureSieve):
raise TypeError
self._sieves.append(sieve)
self._fitted = False
def get_sieves(self) -> List[FeatureSieve]:
"""Returns a list of all feature sieves added to the branch.
:rtype: List[FeatureSieve]
"""
return self._sieves
def clear_sieves(self):
"""Removes all feature sieves that were added to this branch."""
self._sieves = []
self._sieve_prerequisites = None
self._sieves_extended = []
self._fitted = False
def add(self, *objects: Union[FitTransform, Word, type]):
"""Adds one or multiple object(s) to the branch.
:type objects: One or more objects of the following types:
- :class:`~fruits.preparation.abstract.DataPreparateur`
- :class:`~fruits.words.word.Word`
- :class:`~fruits.sieving.abstract.FeatureSieve`
"""
objects_flattened = np.array(objects, dtype=object).flatten()
for obj in objects_flattened:
if inspect.isclass(obj):
obj = obj()
if isinstance(obj, DataPreparateur):
self.add_preparateur(obj)
elif isinstance(obj, Word):
self.add_word(obj)
elif isinstance(obj, FeatureSieve):
self.add_sieve(obj)
else:
raise TypeError("Cannot add variable of type"+str(type(obj)))
def clear(self):
"""Clears all settings, configurations and calculated results
the branch has.
After the branch is cleared, it has the same settings as a newly
created FruitBranch object.
"""
self.clear_preparateurs()
self.clear_words()
self.clear_sieves()
self._calculator_options = {"batch_size": 1, "mode": "single"}
def nfeatures(self) -> int:
"""Returns the total number of features the current
configuration produces.
:rtype: int
"""
if self._calculator_options["mode"] == "extended":
return (
sum([s.nfeatures() for s in self._sieves])
* CachePlan(self._words).n_iterated_sums(
list(range(len(self._words)))
)
)
else:
return (
sum([s.nfeatures() for s in self._sieves])
* len(self._words)
)
def fit(self, X: np.ndarray):
"""Fits the branch to the given dataset. What this action
explicitly does depends on the FruitBranch configuration.
:param X: (Multidimensional) time series dataset as an array
of three dimensions. Have a look at
:meth:`~fruits.scope.force_input_shape`.
:type X: np.ndarray
"""
self._compile()
self._get_cache(X)
prepared_data = self._select_fit_sample(X)
for prep in self._preparateurs:
prep.fit(prepared_data)
prepared_data = prep.transform(prepared_data, cache=self._cache)
self._sieves_extended = []
iss_calculations = SignatureCalculator().transform(
prepared_data,
words=self._words,
**self._calculator_options
)[0]
for iterated_data in iss_calculations:
iterated_data = iterated_data.reshape(iterated_data.shape[0]
* iterated_data.shape[1],
iterated_data.shape[2])
sieves_copy = [sieve.copy() for sieve in self._sieves]
for sieve in sieves_copy:
sieve.fit(iterated_data[:, :])
self._sieves_extended.append(sieves_copy)
self._fitted = True
def transform(self, X: np.ndarray,
callbacks: List[AbstractCallback] = []) -> np.ndarray:
"""Transforms the given time series dataset. The results are
the calculated features for the different time series.
:param X: (Multidimensional) time series dataset as an array
of three dimensions. Have a look at
:meth:`~fruits.scope.force_input_shape`.
:type X: np.ndarray
:param callbacks: List of callbacks. To write your own callback,
override the class
:class:`~fruits.core.callback.AbstractCallback`.,
defaults to []
:type callbacks: List[AbstractCallback], optional
:rtype: np.ndarray
:raises: RuntimeError if ``self.fit`` wasn't called
"""
if not self._fitted:
raise RuntimeError("Missing call of self.fit")
self._get_cache(X)
prepared_data = force_input_shape(X)
for prep in self._preparateurs:
prepared_data = prep.transform(prepared_data, cache=self._cache)
for callback in callbacks:
callback.on_preparateur(prepared_data)
for callback in callbacks:
callback.on_preparation_end(prepared_data)
sieved_data = np.zeros((prepared_data.shape[0],
self.nfeatures()))
k = 0
iss_calculations = SignatureCalculator().transform(
prepared_data,
words=self._words,
**self._calculator_options
)[0]
for i, iterated_data in enumerate(iss_calculations):
for callback in callbacks:
callback.on_iterated_sum(iterated_data)
for sieve in self._sieves_extended[i]:
nf = sieve.nfeatures()
new_features = nf * iterated_data.shape[1]
for it in range(iterated_data.shape[1]):
sieved_data[:, k+it*nf:k+(it+1)*nf] = sieve.transform(
iterated_data[:, it, :],
cache=self._cache,
)
for callback in callbacks:
callback.on_sieve(sieved_data[k:k+new_features])
k += new_features
for callback in callbacks:
callback.on_sieving_end(sieved_data)
return sieved_data
def fit_transform(self, X: np.ndarray) -> np.ndarray:
"""This function does the same that calling ``self.fit(X)`` and
``self.transform(X)`` consecutively does.
:param X: (Multidimensional) time series dataset as an array
of three dimensions. Have a look at
`:meth:`~fruits.scope.force_input_shape`.
:type X: np.ndarray
:returns: Array of features.
:rtype: np.ndarray
"""
self.fit(X)
return self.transform(X)
def summary(self) -> str:
"""Returns a summary of this object. The summary contains all
added preparateurs, words and sieves.
:rtype: str
"""
summary = "{:-^80}".format("fruits.FruitBranch")
summary += f"\nNumber of features: {self.nfeatures()}"
summary += f"\n\nPreparateurs ({len(self._preparateurs)}): "
if len(self._preparateurs) == 0:
summary += "-"
else:
summary += "\n\t+ " + \
"\n\t+ ".join([str(x) for x in self._preparateurs])
summary += f"\nIterators ({len(self._words)}): "
if len(self._words) == 0:
summary += "-"
elif len(self._words) > 10:
summary += "\n\t+ " + \
"\n\t+ ".join([str(x) for x in self._words[:9]])
summary += "\n\t..."
else:
summary += "\n\t+ " + \
"\n\t+ ".join([str(x) for x in self._words])
summary += f"\nSieves ({len(self._sieves)}): "
if len(self._sieves) == 0:
summary += "-"
else:
for x in self._sieves:
lines = x.summary().split("\n")
summary += "\n\t+ " + lines[0]
summary += "\n\t "
summary += "\n\t ".join(lines[1:])
return summary
def copy(self) -> "FruitBranch":
"""Returns a shallow copy of this FruitBranch object.
:returns: Copy of the branch with same settings but all
calculations done erased.
:rtype: FruitBranch
"""
copy_ = FruitBranch()
for preparateur in self._preparateurs:
copy_.add(preparateur)
for iterator in self._words:
copy_.add(iterator)
for sieve in self._sieves:
copy_.add(sieve)
return copy_
def deepcopy(self) -> "FruitBranch":
"""Returns a deep copy of this FruitBranch object.
:returns: Deepcopy of the branch with same settings but all
calculations done erased.
:rtype: FruitBranch
"""
copy_ = FruitBranch()
for preparateur in self._preparateurs:
copy_.add(preparateur.copy())
for iterator in self._words:
copy_.add(iterator.copy())
for sieve in self._sieves:
copy_.add(sieve.copy())
copy_._calculator_options = self._calculator_options.copy()
return copy_
| 35.752308 | 77 | 0.588235 |
079c6865019ab91124c781c2644155172081ba8b | 9,863 | py | Python | workoutizer/__main__.py | pa3kDaWae/workoutizer | 15501d0060711bbd8308642bc89b45c1442d4d0f | [
"MIT"
] | null | null | null | workoutizer/__main__.py | pa3kDaWae/workoutizer | 15501d0060711bbd8308642bc89b45c1442d4d0f | [
"MIT"
] | null | null | null | workoutizer/__main__.py | pa3kDaWae/workoutizer | 15501d0060711bbd8308642bc89b45c1442d4d0f | [
"MIT"
] | null | null | null | import os
import argparse
import subprocess
import socket
import sys
import click
from django.core.management import execute_from_command_line
from workoutizer.settings import WORKOUTIZER_DIR, WORKOUTIZER_DB_PATH, TRACKS_DIR
from workoutizer import __version__
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
SETUP_DIR = os.path.join(BASE_DIR, 'setup')
os.environ["DJANGO_SETTINGS_MODULE"] = "workoutizer.settings"
example_rpi_cmd = "wkz --setup_rpi vendor_id=091e product_id=4b48"
url_help = 'specify ip address and port pair, like: address:port'
cli.add_command(upgrade)
cli.add_command(version)
cli.add_command(init)
cli.add_command(setup_rpi)
cli.add_command(run)
cli.add_command(manage)
cli.add_command(wkz_as_service)
if __name__ == '__main__':
cli()
| 38.678431 | 120 | 0.667343 |
079ca32a831e991e4272d56b55460b5a2a9b338e | 8,807 | py | Python | bcbio/bam/trim.py | matanhofree/bcbio-nextgen | e6938cedb20ff3b7632165105941d71189e46aac | [
"MIT"
] | 1 | 2015-04-08T17:43:39.000Z | 2015-04-08T17:43:39.000Z | bcbio/bam/trim.py | matanhofree/bcbio-nextgen | e6938cedb20ff3b7632165105941d71189e46aac | [
"MIT"
] | null | null | null | bcbio/bam/trim.py | matanhofree/bcbio-nextgen | e6938cedb20ff3b7632165105941d71189e46aac | [
"MIT"
] | null | null | null | """Provide trimming of input reads from Fastq or BAM files.
"""
import os
import sys
import tempfile
from bcbio.utils import (file_exists, safe_makedir,
replace_suffix, append_stem, is_pair,
replace_directory, map_wrap)
from bcbio.log import logger
from bcbio.bam import fastq
from bcbio.provenance import do
from Bio.Seq import Seq
from itertools import izip, repeat
from bcbio.distributed.transaction import file_transaction
from bcbio.pipeline import config_utils
SUPPORTED_ADAPTERS = {
"illumina": ["AACACTCTTTCCCT", "AGATCGGAAGAGCG"],
"truseq": ["AGATCGGAAGAG"],
"polya": ["AAAAAAAAAAAAA"],
"nextera": ["AATGATACGGCGA", "CAAGCAGAAGACG"]}
QUALITY_FLAGS = {5: ['"E"', '"&"'],
20: ['"T"', '"5"']}
def trim_read_through(fastq_files, dirs, lane_config):
"""
for small insert sizes, the read length can be longer than the insert
resulting in the reverse complement of the 3' adapter being sequenced.
this takes adapter sequences and trims the only the reverse complement
of the adapter
MYSEQUENCEAAAARETPADA -> MYSEQUENCEAAAA (no polyA trim)
"""
quality_format = _get_quality_format(lane_config)
to_trim = _get_sequences_to_trim(lane_config)
out_files = _get_read_through_trimmed_outfiles(fastq_files, dirs)
fixed_files = append_stem(out_files, ".fixed")
if all(map(file_exists, fixed_files)):
return fixed_files
logger.info("Trimming %s from the 3' end of reads in %s using "
"cutadapt." % (", ".join(to_trim),
", ".join(fastq_files)))
cores = lane_config["algorithm"].get("num_cores", 1)
out_files = _cutadapt_trim(fastq_files, quality_format,
to_trim, out_files, cores)
fixed_files = remove_short_reads(out_files, dirs, lane_config)
return fixed_files
def remove_short_reads(fastq_files, dirs, lane_config):
"""
remove reads from a single or pair of fastq files which fall below
a length threshold (30 bases)
"""
min_length = int(lane_config["algorithm"].get("min_read_length", 20))
supplied_quality_format = _get_quality_format(lane_config)
if supplied_quality_format == "illumina":
quality_format = "fastq-illumina"
else:
quality_format = "fastq-sanger"
if is_pair(fastq_files):
fastq1, fastq2 = fastq_files
out_files = fastq.filter_reads_by_length(fastq1, fastq2, quality_format, min_length)
else:
out_files = [fastq.filter_single_reads_by_length(fastq_files[0],
quality_format, min_length)]
map(os.remove, fastq_files)
return out_files
def _cutadapt_trim(fastq_files, quality_format, adapters, out_files, cores):
"""Trimming with cutadapt, using version installed with bcbio-nextgen.
Uses the system executable to find the version next to our Anaconda Python.
TODO: Could we use cutadapt as a library to avoid this?
"""
if quality_format == "illumina":
quality_base = "64"
else:
quality_base = "33"
# --times=2 tries twice remove adapters which will allow things like:
# realsequenceAAAAAAadapter to remove both the poly-A and the adapter
# this behavior might not be what we want; we could also do two or
# more passes of cutadapt
cutadapt = os.path.join(os.path.dirname(sys.executable), "cutadapt")
base_cmd = [cutadapt, "--times=" + "2", "--quality-base=" + quality_base,
"--quality-cutoff=5", "--format=fastq", "--minimum-length=0"]
adapter_cmd = map(lambda x: "--adapter=" + x, adapters)
base_cmd.extend(adapter_cmd)
if all(map(file_exists, out_files)):
return out_files
with file_transaction(out_files) as tmp_out_files:
if isinstance(tmp_out_files, basestring):
tmp_out_files = [tmp_out_files]
map(_run_cutadapt_on_single_file, izip(repeat(base_cmd), fastq_files,
tmp_out_files))
return out_files
| 40.962791 | 92 | 0.65641 |
079cc8e3750a72f04c77d4be145f9892cc269784 | 13,419 | py | Python | FEniCSUI/AnalysesHub/views.py | nasserarbabi/FEniCSUI-dev | f8f161e1b49932843e01301212e7d031fff4f6c8 | [
"MIT"
] | null | null | null | FEniCSUI/AnalysesHub/views.py | nasserarbabi/FEniCSUI-dev | f8f161e1b49932843e01301212e7d031fff4f6c8 | [
"MIT"
] | 8 | 2021-03-10T21:59:52.000Z | 2021-09-22T19:12:57.000Z | FEniCSUI/AnalysesHub/views.py | nasserarbabi/FEniCSUI | f8f161e1b49932843e01301212e7d031fff4f6c8 | [
"MIT"
] | null | null | null | from rest_framework.response import Response
from rest_framework.views import APIView
from django.shortcuts import get_object_or_404
from dashboard.models import projects
from .models import AnalysisConfig, SolverResults, SolverProgress, DockerLogs
from rest_framework.parsers import FormParser, JSONParser, MultiPartParser, FileUploadParser
from rest_framework import status
import docker
import os
import json
from zipfile import ZipFile
from django.http import HttpResponse
from threading import Thread
from time import sleep
from datetime import datetime
def streamDockerLog(container, project):
for line in container.logs(stream=True):
logs = get_object_or_404(DockerLogs, project=project)
now = datetime.now()
current_time = now.strftime("[%H:%M:%S]: ")
logs.log = current_time + str(line.strip(), 'utf-8') + "\n" + logs.log
logs.save()
| 42.735669 | 158 | 0.634474 |
079d837b78456fbc7dc57dde76430c107de0f8b2 | 1,627 | py | Python | fs/opener/appfs.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | fs/opener/appfs.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | fs/opener/appfs.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | # coding: utf-8
"""``AppFS`` opener definition.
"""
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
from .base import Opener
from .errors import OpenerError
from ..subfs import ClosingSubFS
from .. import appfs
| 24.283582 | 68 | 0.566687 |
079e4e7b1369d32d29e2b328e164f3c7bb362e85 | 23,180 | py | Python | scripts/modeling_toolbox/evaluation.py | cyberj0g/verification-classifier | efb19a3864e27a7f149a1c27ee8e13eaa19f96eb | [
"MIT"
] | 8 | 2019-06-06T08:16:45.000Z | 2021-06-26T11:53:48.000Z | scripts/modeling_toolbox/evaluation.py | cyberj0g/verification-classifier | efb19a3864e27a7f149a1c27ee8e13eaa19f96eb | [
"MIT"
] | 95 | 2019-03-27T08:36:01.000Z | 2022-02-10T00:15:20.000Z | scripts/modeling_toolbox/evaluation.py | cyberj0g/verification-classifier | efb19a3864e27a7f149a1c27ee8e13eaa19f96eb | [
"MIT"
] | 8 | 2019-02-28T11:21:46.000Z | 2022-03-21T07:34:20.000Z | import numpy as np
from sklearn.metrics import fbeta_score, roc_curve, auc, confusion_matrix
from sklearn.decomposition import PCA
from sklearn import random_projection
from sklearn import svm
from sklearn.ensemble import IsolationForest
import matplotlib.pyplot as plt
from keras.layers import Dense, Input, Dropout
from keras.models import Model
from keras import regularizers
from keras.models import Sequential
from keras.optimizers import Adam
from keras.regularizers import l2
from sklearn.ensemble import RandomForestClassifier
from sklearn.ensemble import AdaBoostClassifier
import xgboost as xgb
| 44.83559 | 122 | 0.519586 |
07a0528abcb6666cfcae1ee1c6cb300b86de98df | 1,896 | py | Python | tests/test_notifo_message.py | mrtazz/notifo.py | 26079db3b40c26661155af20a9f16a0eca06dbde | [
"MIT"
] | 3 | 2015-11-05T11:49:34.000Z | 2016-07-17T18:06:15.000Z | tests/test_notifo_message.py | mrtazz/notifo.py | 26079db3b40c26661155af20a9f16a0eca06dbde | [
"MIT"
] | null | null | null | tests/test_notifo_message.py | mrtazz/notifo.py | 26079db3b40c26661155af20a9f16a0eca06dbde | [
"MIT"
] | null | null | null | # encoding: utf-8
import unittest
import os
import sys
sys.path.append(os.getcwd())
from notifo import Notifo, send_message
if __name__ == '__main__':
unittest.main()
| 38.693878 | 79 | 0.655591 |
07a0beb6aad78f79be93a859fb255e52020dee2b | 1,931 | py | Python | geoist/cattools/Smoothing.py | wqqpp007/geoist | 116b674eae3da4ee706902ce7f5feae1f61f43a5 | [
"MIT"
] | 1 | 2020-06-04T01:09:24.000Z | 2020-06-04T01:09:24.000Z | geoist/cattools/Smoothing.py | wqqpp007/geoist | 116b674eae3da4ee706902ce7f5feae1f61f43a5 | [
"MIT"
] | null | null | null | geoist/cattools/Smoothing.py | wqqpp007/geoist | 116b674eae3da4ee706902ce7f5feae1f61f43a5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
import numpy as np
import .Selection as Sel
import .Exploration as Exp
import .CatUtils as CU
#-----------------------------------------------------------------------------------------
#----------------------------------------------------------------------------------------- | 23.26506 | 90 | 0.483169 |
07a14721d51acde99d2ac0e4f6c8f439015ceb27 | 2,759 | py | Python | hebsafeharbor/identifier/signals/lexicon_based_recognizer.py | dkarmon/HebSafeHarbor | fdad7481c74feb78f8c3265c327eae7712cf16ce | [
"MIT"
] | 3 | 2022-03-10T14:41:54.000Z | 2022-03-28T11:18:56.000Z | hebsafeharbor/identifier/signals/lexicon_based_recognizer.py | 8400TheHealthNetwork/HebSafeHarbor | f618ca76d995e6fb74c0cb2f01478c7efd2d8836 | [
"MIT"
] | 2 | 2022-03-06T10:39:27.000Z | 2022-03-07T12:42:13.000Z | hebsafeharbor/identifier/signals/lexicon_based_recognizer.py | dkarmon/HebSafeHarbor | fdad7481c74feb78f8c3265c327eae7712cf16ce | [
"MIT"
] | 3 | 2022-02-15T09:50:08.000Z | 2022-02-22T08:43:26.000Z | from typing import List
from presidio_analyzer import EntityRecognizer, RecognizerResult, AnalysisExplanation
from presidio_analyzer.nlp_engine import NlpArtifacts
from hebsafeharbor.common.terms_recognizer import TermsRecognizer
| 43.793651 | 117 | 0.697717 |
07a42ef8c15bd224503fc4a06fa31dab2756c605 | 35,966 | py | Python | my_plugins/YouCompleteMe/third_party/ycmd/ycmd/tests/clangd/subcommands_test.py | cyx233/vim_config | f09c9206344c17df20a05dd2c08a02f098a7e873 | [
"MIT"
] | null | null | null | my_plugins/YouCompleteMe/third_party/ycmd/ycmd/tests/clangd/subcommands_test.py | cyx233/vim_config | f09c9206344c17df20a05dd2c08a02f098a7e873 | [
"MIT"
] | null | null | null | my_plugins/YouCompleteMe/third_party/ycmd/ycmd/tests/clangd/subcommands_test.py | cyx233/vim_config | f09c9206344c17df20a05dd2c08a02f098a7e873 | [
"MIT"
] | null | null | null | # encoding: utf-8
#
# Copyright (C) 2018 ycmd contributors
#
# This file is part of ycmd.
#
# ycmd is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# ycmd is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with ycmd. If not, see <http://www.gnu.org/licenses/>.
from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
from hamcrest.core.base_matcher import BaseMatcher
from hamcrest import ( assert_that,
contains,
contains_string,
equal_to,
has_entries,
has_entry,
matches_regexp )
from pprint import pprint
import requests
import os.path
from ycmd.tests.clangd import ( IsolatedYcmd,
SharedYcmd,
PathToTestFile,
RunAfterInitialized )
from ycmd.tests.test_utils import ( BuildRequest,
ChunkMatcher,
CombineRequest,
LineColMatcher,
LocationMatcher,
ErrorMatcher,
WithRetry,
WaitUntilCompleterServerReady )
from ycmd.utils import ReadFile
# This test is isolated to trigger objcpp hooks, rather than fetching completer
# from cache.
def Subcommands_GoTo_all_test():
tests = [
# Local::x -> definition/declaration of x
{ 'req': ( 'goto.cc', 23, 21 ), 'res': ( 'goto.cc', 4, 9 ) },
# Local::in_line -> definition/declaration of Local::in_line
{ 'req': ( 'goto.cc', 24, 26 ), 'res': ( 'goto.cc', 6, 10 ) },
# Local -> definition/declaration of Local
{ 'req': ( 'goto.cc', 24, 16 ), 'res': ( 'goto.cc', 2, 11 ) },
# Local::out_of_line -> definition of Local::out_of_line
{ 'req': ( 'goto.cc', 25, 27 ), 'res': ( 'goto.cc', 14, 13 ) },
# GoToDeclaration alternates between definition and declaration
{ 'req': ( 'goto.cc', 14, 13 ), 'res': ( 'goto.cc', 11, 10 ) },
{ 'req': ( 'goto.cc', 11, 10 ), 'res': ( 'goto.cc', 14, 13 ) },
# test -> definition and declaration of test
{ 'req': ( 'goto.cc', 21, 5 ), 'res': ( 'goto.cc', 19, 5 ) },
{ 'req': ( 'goto.cc', 19, 5 ), 'res': ( 'goto.cc', 21, 5 ) },
# Unicde
{ 'req': ( 'goto.cc', 34, 9 ), 'res': ( 'goto.cc', 32, 26 ) },
# Another_Unicde
{ 'req': ( 'goto.cc', 36, 17 ), 'res': ( 'goto.cc', 32, 54 ) },
{ 'req': ( 'goto.cc', 36, 25 ), 'res': ( 'goto.cc', 32, 54 ) },
{ 'req': ( 'goto.cc', 38, 3 ), 'res': ( 'goto.cc', 36, 28 ) },
# Expected failures
{ 'req': ( 'goto.cc', 13, 1 ), 'res': 'Cannot jump to location' },
{ 'req': ( 'goto.cc', 16, 6 ), 'res': 'Cannot jump to location' },
]
for test in tests:
for cmd in [ 'GoToDefinition', 'GoTo', 'GoToImprecise' ]:
yield RunGoToTest_all, '', cmd, test
def FixIt_Check_cpp11_Ins( results ):
# First fixit
# switch(A()) { // expected-error{{explicit conversion to}}
assert_that( results, has_entries( {
'fixits': contains( has_entries( {
'chunks': contains(
has_entries( {
'replacement_text': equal_to( 'static_cast<int>(' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 16, 'column_num': 10 } ),
'end' : has_entries( { 'line_num': 16, 'column_num': 10 } ),
} ),
} ),
has_entries( {
'replacement_text': equal_to( ')' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 16, 'column_num': 13 } ),
'end' : has_entries( { 'line_num': 16, 'column_num': 13 } ),
} ),
} )
),
'location': has_entries( { 'line_num': 16, 'column_num': 0 } )
} ) )
} ) )
def FixIt_Check_cpp11_InsMultiLine( results ):
# Similar to FixIt_Check_cpp11_1 but inserts split across lines
#
assert_that( results, has_entries( {
'fixits': contains( has_entries( {
'chunks': contains(
has_entries( {
'replacement_text': equal_to( 'static_cast<int>(' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 26, 'column_num': 7 } ),
'end' : has_entries( { 'line_num': 26, 'column_num': 7 } ),
} ),
} ),
has_entries( {
'replacement_text': equal_to( ')' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 28, 'column_num': 2 } ),
'end' : has_entries( { 'line_num': 28, 'column_num': 2 } ),
} ),
} )
),
'location': has_entries( { 'line_num': 25, 'column_num': 14 } )
} ) )
} ) )
def FixIt_Check_cpp11_Del( results ):
# Removal of ::
assert_that( results, has_entries( {
'fixits': contains( has_entries( {
'chunks': contains(
has_entries( {
'replacement_text': equal_to( '' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 35, 'column_num': 7 } ),
'end' : has_entries( { 'line_num': 35, 'column_num': 9 } ),
} ),
} )
),
'location': has_entries( { 'line_num': 35, 'column_num': 7 } )
} ) )
} ) )
def FixIt_Check_cpp11_Repl( results ):
assert_that( results, has_entries( {
'fixits': contains( has_entries( {
'chunks': contains(
has_entries( {
'replacement_text': equal_to( 'foo' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 40, 'column_num': 6 } ),
'end' : has_entries( { 'line_num': 40, 'column_num': 9 } ),
} ),
} )
),
'location': has_entries( { 'line_num': 40, 'column_num': 6 } )
} ) )
} ) )
def FixIt_Check_cpp11_DelAdd( results ):
assert_that( results, has_entries( {
'fixits': contains(
has_entries( {
'chunks': contains(
has_entries( {
'replacement_text': equal_to( '' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 48, 'column_num': 3 } ),
'end' : has_entries( { 'line_num': 48, 'column_num': 4 } ),
} ),
} ),
has_entries( {
'replacement_text': equal_to( '~' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 48, 'column_num': 9 } ),
'end' : has_entries( { 'line_num': 48, 'column_num': 9 } ),
} ),
} ),
),
'location': has_entries( { 'line_num': 48, 'column_num': 3 } )
} ),
has_entries( {
'chunks': contains(
has_entries( {
'replacement_text': equal_to( '= default;' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 48, 'column_num': 15 } ),
'end' : has_entries( { 'line_num': 48, 'column_num': 17 } ),
} ),
} ),
),
'location': has_entries( { 'line_num': 48, 'column_num': 3 } )
} ),
)
} ) )
def FixIt_Check_objc( results ):
assert_that( results, has_entries( {
'fixits': contains( has_entries( {
'chunks': contains(
has_entries( {
'replacement_text': equal_to( 'id' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 5, 'column_num': 3 } ),
'end' : has_entries( { 'line_num': 5, 'column_num': 3 } ),
} ),
} )
),
'location': has_entries( { 'line_num': 5, 'column_num': 3 } )
} ) )
} ) )
def FixIt_Check_objc_NoFixIt( results ):
# and finally, a warning with no fixits
assert_that( results, equal_to( { 'fixits': [] } ) )
def FixIt_Check_cpp11_MultiFirst( results ):
assert_that( results, has_entries( {
'fixits': contains(
# first fix-it at 54,16
has_entries( {
'chunks': contains(
has_entries( {
'replacement_text': equal_to( 'foo' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 54, 'column_num': 16 } ),
'end' : has_entries( { 'line_num': 54, 'column_num': 19 } ),
} ),
} )
),
'location': has_entries( { 'line_num': 54, 'column_num': 15 } )
} ),
# second fix-it at 54,52
has_entries( {
'chunks': contains(
has_entries( {
'replacement_text': equal_to( '' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 54, 'column_num': 52 } ),
'end' : has_entries( { 'line_num': 54, 'column_num': 53 } ),
} ),
} ),
has_entries( {
'replacement_text': equal_to( '~' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 54, 'column_num': 58 } ),
'end' : has_entries( { 'line_num': 54, 'column_num': 58 } ),
} ),
} ),
),
'location': has_entries( { 'line_num': 54, 'column_num': 15 } )
} ),
has_entries( {
'chunks': contains(
has_entries( {
'replacement_text': equal_to( '= default;' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 54, 'column_num': 64 } ),
'end' : has_entries( { 'line_num': 54, 'column_num': 67 } ),
} ),
} )
),
'location': has_entries( { 'line_num': 54, 'column_num': 15 } )
} ),
)
} ) )
def FixIt_Check_cpp11_MultiSecond( results ):
assert_that( results, has_entries( {
'fixits': contains(
# first fix-it at 54,16
has_entries( {
'chunks': contains(
has_entries( {
'replacement_text': equal_to( 'foo' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 54, 'column_num': 16 } ),
'end' : has_entries( { 'line_num': 54, 'column_num': 19 } ),
} ),
} )
),
'location': has_entries( { 'line_num': 54, 'column_num': 51 } )
} ),
# second fix-it at 54,52
has_entries( {
'chunks': contains(
has_entries( {
'replacement_text': equal_to( '' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 54, 'column_num': 52 } ),
'end' : has_entries( { 'line_num': 54, 'column_num': 53 } ),
} ),
} ),
has_entries( {
'replacement_text': equal_to( '~' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 54, 'column_num': 58 } ),
'end' : has_entries( { 'line_num': 54, 'column_num': 58 } ),
} ),
} ),
),
'location': has_entries( { 'line_num': 54, 'column_num': 51 } )
} ),
has_entries( {
'chunks': contains(
has_entries( {
'replacement_text': equal_to( '= default;' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 54, 'column_num': 64 } ),
'end' : has_entries( { 'line_num': 54, 'column_num': 67 } ),
} ),
} )
),
'location': has_entries( { 'line_num': 54, 'column_num': 51 } )
} ),
)
} ) )
def FixIt_Check_unicode_Ins( results ):
assert_that( results, has_entries( {
'fixits': contains( has_entries( {
'chunks': contains(
has_entries( {
'replacement_text': equal_to( '=' ),
'range': has_entries( {
'start': has_entries( { 'line_num': 21, 'column_num': 9 } ),
'end' : has_entries( { 'line_num': 21, 'column_num': 11 } ),
} ),
} )
),
'location': has_entries( { 'line_num': 21, 'column_num': 16 } )
} ) )
} ) )
def FixIt_Check_cpp11_Note( results ):
assert_that( results, has_entries( {
'fixits': contains(
# First note: put parens around it
has_entries( {
'text': contains_string( 'parentheses around the assignment' ),
'chunks': contains(
ChunkMatcher( '(',
LineColMatcher( 59, 8 ),
LineColMatcher( 59, 8 ) ),
ChunkMatcher( ')',
LineColMatcher( 61, 12 ),
LineColMatcher( 61, 12 ) )
),
'location': LineColMatcher( 60, 1 ),
} ),
# Second note: change to ==
has_entries( {
'text': contains_string( '==' ),
'chunks': contains(
ChunkMatcher( '==',
LineColMatcher( 60, 8 ),
LineColMatcher( 60, 9 ) )
),
'location': LineColMatcher( 60, 1 ),
} ),
# Unresolved, requires /resolve_fixit request
has_entries( {
'text': 'Extract subexpression to variable',
'resolve': True,
'command': has_entries( { 'command': 'clangd.applyTweak' } )
} )
)
} ) )
def FixIt_Check_cpp11_SpellCheck( results ):
assert_that( results, has_entries( {
'fixits': contains(
# Change to SpellingIsNotMyStrongPoint
has_entries( {
'text': contains_string( "change 'SpellingIsNotMyStringPiont' to "
"'SpellingIsNotMyStrongPoint'" ),
'chunks': contains(
ChunkMatcher( 'SpellingIsNotMyStrongPoint',
LineColMatcher( 72, 9 ),
LineColMatcher( 72, 35 ) )
),
'location': LineColMatcher( 72, 9 ),
} ) )
} ) )
def FixIt_Check_cuda( results ):
assert_that( results, has_entries( {
'fixits': contains(
has_entries( {
'text': contains_string(
"change 'int' to 'void'" ),
'chunks': contains(
ChunkMatcher( 'void',
LineColMatcher( 3, 12 ),
LineColMatcher( 3, 15 ) )
),
'location': LineColMatcher( 3, 12 ),
} ) )
} ) )
def FixIt_Check_SubexprExtract_Resolved( results ):
assert_that( results, has_entries( {
'fixits': contains( has_entries( {
'text': 'Extract subexpression to variable',
'chunks': contains(
ChunkMatcher( 'auto dummy = foo(i + 3);\n ',
LineColMatcher( 84, 3 ),
LineColMatcher( 84, 3 ) ),
ChunkMatcher( 'dummy',
LineColMatcher( 84, 10 ),
LineColMatcher( 84, 22 ) ),
)
} ) )
} ) )
def FixIt_Check_RawStringReplace_Resolved( results ):
assert_that( results, has_entries( {
'fixits': contains( has_entries( {
'text': 'Convert to raw string',
'chunks': contains(
ChunkMatcher( 'R"(\\\\r\\asd\n\\v)"',
LineColMatcher( 80, 19 ),
LineColMatcher( 80, 36 ) ),
)
} ) )
} ) )
def FixIt_Check_MacroExpand_Resolved( results ):
assert_that( results, has_entries( {
'fixits': contains( has_entries( {
'text': "Expand macro 'DECLARE_INT'",
'chunks': contains(
ChunkMatcher( 'int i',
LineColMatcher( 83, 3 ),
LineColMatcher( 83, 17 ) ),
)
} ) )
} ) )
def FixIt_Check_AutoExpand_Resolved( results ):
assert_that( results, has_entries( {
'fixits': contains( has_entries( {
'text': "Expand auto type",
'chunks': contains(
ChunkMatcher( 'const char *',
LineColMatcher( 80, 1 ),
LineColMatcher( 80, 6 ) ),
)
} ) )
} ) )
| 34.783366 | 79 | 0.508564 |
07a4651e3c80a36d3030fc52e231138dba1e43c1 | 1,032 | py | Python | sentiment/config.py | TheRensselaerIDEA/covid19_tweet_ids | fee7d951b11cf2650e48668614c30672179ab3af | [
"MIT"
] | null | null | null | sentiment/config.py | TheRensselaerIDEA/covid19_tweet_ids | fee7d951b11cf2650e48668614c30672179ab3af | [
"MIT"
] | null | null | null | sentiment/config.py | TheRensselaerIDEA/covid19_tweet_ids | fee7d951b11cf2650e48668614c30672179ab3af | [
"MIT"
] | null | null | null | """
Config class containing all the settings for running sentiment scoring tool
"""
import jsonpickle | 27.157895 | 75 | 0.622093 |
07a4d5bc6f7dc36e1d1fd72f273d7cc3af846e4b | 9,184 | py | Python | tests/ut/python/dataset/test_invert.py | GuoSuiming/mindspore | 48afc4cfa53d970c0b20eedfb46e039db2a133d5 | [
"Apache-2.0"
] | 4 | 2021-01-26T09:14:01.000Z | 2021-01-26T09:17:24.000Z | tests/ut/python/dataset/test_invert.py | forwhat461/mindspore | 59a277756eb4faad9ac9afcc7fd526e8277d4994 | [
"Apache-2.0"
] | null | null | null | tests/ut/python/dataset/test_invert.py | forwhat461/mindspore | 59a277756eb4faad9ac9afcc7fd526e8277d4994 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""
Testing Invert op in DE
"""
import numpy as np
import mindspore.dataset as ds
import mindspore.dataset.transforms.py_transforms
import mindspore.dataset.vision.py_transforms as F
import mindspore.dataset.vision.c_transforms as C
from mindspore import log as logger
from util import visualize_list, save_and_check_md5, diff_mse
DATA_DIR = "../data/dataset/testImageNetData/train/"
GENERATE_GOLDEN = False
def test_invert_py(plot=False):
"""
Test Invert python op
"""
logger.info("Test Invert Python op")
# Original Images
data_set = ds.ImageFolderDataset(dataset_dir=DATA_DIR, shuffle=False)
transforms_original = mindspore.dataset.transforms.py_transforms.Compose([F.Decode(),
F.Resize((224, 224)),
F.ToTensor()])
ds_original = data_set.map(operations=transforms_original, input_columns="image")
ds_original = ds_original.batch(512)
for idx, (image, _) in enumerate(ds_original):
if idx == 0:
images_original = np.transpose(image.asnumpy(), (0, 2, 3, 1))
else:
images_original = np.append(images_original,
np.transpose(image.asnumpy(), (0, 2, 3, 1)),
axis=0)
# Color Inverted Images
data_set = ds.ImageFolderDataset(dataset_dir=DATA_DIR, shuffle=False)
transforms_invert = mindspore.dataset.transforms.py_transforms.Compose([F.Decode(),
F.Resize((224, 224)),
F.Invert(),
F.ToTensor()])
ds_invert = data_set.map(operations=transforms_invert, input_columns="image")
ds_invert = ds_invert.batch(512)
for idx, (image, _) in enumerate(ds_invert):
if idx == 0:
images_invert = np.transpose(image.asnumpy(), (0, 2, 3, 1))
else:
images_invert = np.append(images_invert,
np.transpose(image.asnumpy(), (0, 2, 3, 1)),
axis=0)
num_samples = images_original.shape[0]
mse = np.zeros(num_samples)
for i in range(num_samples):
mse[i] = np.mean((images_invert[i] - images_original[i]) ** 2)
logger.info("MSE= {}".format(str(np.mean(mse))))
if plot:
visualize_list(images_original, images_invert)
def test_invert_c(plot=False):
"""
Test Invert Cpp op
"""
logger.info("Test Invert cpp op")
# Original Images
data_set = ds.ImageFolderDataset(dataset_dir=DATA_DIR, shuffle=False)
transforms_original = [C.Decode(), C.Resize(size=[224, 224])]
ds_original = data_set.map(operations=transforms_original, input_columns="image")
ds_original = ds_original.batch(512)
for idx, (image, _) in enumerate(ds_original):
if idx == 0:
images_original = image.asnumpy()
else:
images_original = np.append(images_original,
image.asnumpy(),
axis=0)
# Invert Images
data_set = ds.ImageFolderDataset(dataset_dir=DATA_DIR, shuffle=False)
transform_invert = [C.Decode(), C.Resize(size=[224, 224]),
C.Invert()]
ds_invert = data_set.map(operations=transform_invert, input_columns="image")
ds_invert = ds_invert.batch(512)
for idx, (image, _) in enumerate(ds_invert):
if idx == 0:
images_invert = image.asnumpy()
else:
images_invert = np.append(images_invert,
image.asnumpy(),
axis=0)
if plot:
visualize_list(images_original, images_invert)
num_samples = images_original.shape[0]
mse = np.zeros(num_samples)
for i in range(num_samples):
mse[i] = diff_mse(images_invert[i], images_original[i])
logger.info("MSE= {}".format(str(np.mean(mse))))
def test_invert_py_c(plot=False):
"""
Test Invert Cpp op and python op
"""
logger.info("Test Invert cpp and python op")
# Invert Images in cpp
data_set = ds.ImageFolderDataset(dataset_dir=DATA_DIR, shuffle=False)
data_set = data_set.map(operations=[C.Decode(), C.Resize((224, 224))], input_columns=["image"])
ds_c_invert = data_set.map(operations=C.Invert(), input_columns="image")
ds_c_invert = ds_c_invert.batch(512)
for idx, (image, _) in enumerate(ds_c_invert):
if idx == 0:
images_c_invert = image.asnumpy()
else:
images_c_invert = np.append(images_c_invert,
image.asnumpy(),
axis=0)
# invert images in python
data_set = ds.ImageFolderDataset(dataset_dir=DATA_DIR, shuffle=False)
data_set = data_set.map(operations=[C.Decode(), C.Resize((224, 224))], input_columns=["image"])
transforms_p_invert = mindspore.dataset.transforms.py_transforms.Compose([lambda img: img.astype(np.uint8),
F.ToPIL(),
F.Invert(),
np.array])
ds_p_invert = data_set.map(operations=transforms_p_invert, input_columns="image")
ds_p_invert = ds_p_invert.batch(512)
for idx, (image, _) in enumerate(ds_p_invert):
if idx == 0:
images_p_invert = image.asnumpy()
else:
images_p_invert = np.append(images_p_invert,
image.asnumpy(),
axis=0)
num_samples = images_c_invert.shape[0]
mse = np.zeros(num_samples)
for i in range(num_samples):
mse[i] = diff_mse(images_p_invert[i], images_c_invert[i])
logger.info("MSE= {}".format(str(np.mean(mse))))
if plot:
visualize_list(images_c_invert, images_p_invert, visualize_mode=2)
def test_invert_one_channel():
"""
Test Invert cpp op with one channel image
"""
logger.info("Test Invert C Op With One Channel Images")
c_op = C.Invert()
try:
data_set = ds.ImageFolderDataset(dataset_dir=DATA_DIR, shuffle=False)
data_set = data_set.map(operations=[C.Decode(), C.Resize((224, 224)),
lambda img: np.array(img[:, :, 0])], input_columns=["image"])
data_set.map(operations=c_op, input_columns="image")
except RuntimeError as e:
logger.info("Got an exception in DE: {}".format(str(e)))
assert "The shape" in str(e)
def test_invert_md5_py():
"""
Test Invert python op with md5 check
"""
logger.info("Test Invert python op with md5 check")
# Generate dataset
data_set = ds.ImageFolderDataset(dataset_dir=DATA_DIR, shuffle=False)
transforms_invert = mindspore.dataset.transforms.py_transforms.Compose([F.Decode(),
F.Invert(),
F.ToTensor()])
data = data_set.map(operations=transforms_invert, input_columns="image")
# Compare with expected md5 from images
filename = "invert_01_result_py.npz"
save_and_check_md5(data, filename, generate_golden=GENERATE_GOLDEN)
def test_invert_md5_c():
"""
Test Invert cpp op with md5 check
"""
logger.info("Test Invert cpp op with md5 check")
# Generate dataset
data_set = ds.ImageFolderDataset(dataset_dir=DATA_DIR, shuffle=False)
transforms_invert = [C.Decode(),
C.Resize(size=[224, 224]),
C.Invert(),
F.ToTensor()]
data = data_set.map(operations=transforms_invert, input_columns="image")
# Compare with expected md5 from images
filename = "invert_01_result_c.npz"
save_and_check_md5(data, filename, generate_golden=GENERATE_GOLDEN)
if __name__ == "__main__":
test_invert_py(plot=False)
test_invert_c(plot=False)
test_invert_py_c(plot=False)
test_invert_one_channel()
test_invert_md5_py()
test_invert_md5_c()
| 35.875 | 111 | 0.579377 |
07a4fdcadf45ca16af301e1936af3cd96dd967fd | 748 | py | Python | puzzle/tests/test_candy.py | aliciawyy/dmining | 513f6f036f8f258281e1282fef052a74bf9cc3d3 | [
"Apache-2.0"
] | null | null | null | puzzle/tests/test_candy.py | aliciawyy/dmining | 513f6f036f8f258281e1282fef052a74bf9cc3d3 | [
"Apache-2.0"
] | 9 | 2017-10-25T10:03:36.000Z | 2018-06-12T22:49:22.000Z | puzzle/tests/test_candy.py | aliciawyy/dmining | 513f6f036f8f258281e1282fef052a74bf9cc3d3 | [
"Apache-2.0"
] | null | null | null | from parameterized import parameterized
from numpy.testing import TestCase
from .. import candy
| 35.619048 | 73 | 0.481283 |
07a6ea2e95247eb4360055919661bfab2c787424 | 442 | py | Python | audio.py | fernandoq/quiz-show | 6e130db7923d14cf1976e1c522c58f848e48f2af | [
"MIT"
] | null | null | null | audio.py | fernandoq/quiz-show | 6e130db7923d14cf1976e1c522c58f848e48f2af | [
"MIT"
] | null | null | null | audio.py | fernandoq/quiz-show | 6e130db7923d14cf1976e1c522c58f848e48f2af | [
"MIT"
] | null | null | null | import time
import subprocess
import os
print os.uname()
if not os.uname()[0].startswith("Darw"):
import pygame
pygame.mixer.init()
# Plays a song | 24.555556 | 69 | 0.708145 |
07a74f63c4315c5c81ce34abcbe9eb4483cc9b1f | 4,783 | py | Python | tests/test_dynamodbHandler.py | unfoldingWord-dev/python-aws-tools | 8e856697ab07c5c33e60cde2d82ac805dec3ddf3 | [
"MIT"
] | 1 | 2017-08-23T22:31:23.000Z | 2017-08-23T22:31:23.000Z | tests/test_dynamodbHandler.py | unfoldingWord-dev/python-aws-tools | 8e856697ab07c5c33e60cde2d82ac805dec3ddf3 | [
"MIT"
] | null | null | null | tests/test_dynamodbHandler.py | unfoldingWord-dev/python-aws-tools | 8e856697ab07c5c33e60cde2d82ac805dec3ddf3 | [
"MIT"
] | null | null | null | from __future__ import absolute_import, unicode_literals, print_function
import mock
import unittest
import d43_aws_tools as aws_tools
from boto3.dynamodb.conditions import Attr
| 40.533898 | 104 | 0.59147 |
07a75032397b40d87190a129b70b4805e05f8c42 | 799 | py | Python | app.py | sbustamante/heroku_app | 6c8ff0b570750f3fe53ec67e24b71641167d53ce | [
"MIT"
] | null | null | null | app.py | sbustamante/heroku_app | 6c8ff0b570750f3fe53ec67e24b71641167d53ce | [
"MIT"
] | null | null | null | app.py | sbustamante/heroku_app | 6c8ff0b570750f3fe53ec67e24b71641167d53ce | [
"MIT"
] | null | null | null | from dash import Dash, html, dcc
import plotly.express as px
import pandas as pd
app = Dash(__name__)
server = app.server
# assume you have a "long-form" data frame
# see https://plotly.com/python/px-arguments/ for more options
df = pd.DataFrame({
"Fruit": ["Apples", "Oranges", "Bananas", "Apples", "Oranges", "Bananas"],
"Amount": [4, 1, 2, 2, 4, 5],
"City": ["SF", "SF", "SF", "Montreal", "Montreal", "Montreal"]
})
fig = px.bar(df, x="Fruit", y="Amount", color="City", barmode="group")
app.layout = html.Div(children=[
html.H1(children='Hello Dash'),
html.Div(children='''
Dash: A web application framework for your data.
'''),
dcc.Graph(
id='example-graph',
figure=fig
)
])
if __name__ == '__main__':
app.run_server(debug=True) | 24.96875 | 78 | 0.617021 |
07a86aa8bb5513e6175425568029999ed308c9e2 | 23,759 | py | Python | peter_sslers/web/lib/form_utils.py | aptise/peter_sslers | 1dcae3fee0c1f4c67ae8a614aed7e2a3121e88b0 | [
"MIT"
] | 35 | 2016-04-21T18:55:31.000Z | 2022-03-30T08:22:43.000Z | peter_sslers/web/lib/form_utils.py | aptise/peter_sslers | 1dcae3fee0c1f4c67ae8a614aed7e2a3121e88b0 | [
"MIT"
] | 8 | 2018-05-23T13:38:49.000Z | 2021-03-19T21:05:44.000Z | peter_sslers/web/lib/form_utils.py | aptise/peter_sslers | 1dcae3fee0c1f4c67ae8a614aed7e2a3121e88b0 | [
"MIT"
] | 2 | 2016-08-18T21:07:11.000Z | 2017-01-11T09:47:40.000Z | # pypi
import six
# local
from ...lib import db as lib_db
from ...lib import utils
from ...model import objects as model_objects
from ...model import utils as model_utils
from . import formhandling
# ==============================================================================
def decode_args(getcreate_args):
"""
support for Python2/3
"""
if six.PY3:
for (k, v) in list(getcreate_args.items()):
if isinstance(v, bytes):
getcreate_args[k] = v.decode("utf8")
return getcreate_args
# standardized mapping for `model_utils.DomainsChallenged` to a formStash
DOMAINS_CHALLENGED_FIELDS = {
"http-01": "domain_names_http01",
"dns-01": "domain_names_dns01",
}
def parse_AcmeAccountSelection(
request,
formStash,
account_key_option=None,
allow_none=None,
require_contact=None,
):
"""
:param formStash: an instance of `pyramid_formencode_classic.FormStash`
:param account_key_option:
:param allow_none:
:param require_contact: ``True`` if required; ``False`` if not; ``None`` for conditional logic
"""
account_key_pem = None
account_key_pem_md5 = None
dbAcmeAccount = None
is_global_default = None
# handle the explicit-option
acmeAccountSelection = _AcmeAccountSelection()
if account_key_option == "account_key_file":
# this will handle form validation and raise errors.
parser = AcmeAccountUploadParser(formStash)
# this will have: `contact`, `private_key_cycle`, `private_key_technology`
parser.require_upload(require_contact=require_contact)
# update our object
acmeAccountSelection.selection = "upload"
acmeAccountSelection.upload_parsed = parser
return acmeAccountSelection
else:
if account_key_option == "account_key_global_default":
acmeAccountSelection.selection = "global_default"
account_key_pem_md5 = formStash.results["account_key_global_default"]
is_global_default = True
elif account_key_option == "account_key_existing":
acmeAccountSelection.selection = "existing"
account_key_pem_md5 = formStash.results["account_key_existing"]
elif account_key_option == "account_key_reuse":
acmeAccountSelection.selection = "reuse"
account_key_pem_md5 = formStash.results["account_key_reuse"]
elif account_key_option == "none":
if not allow_none:
# `formStash.fatal_form()` will raise `FormInvalid()`
formStash.fatal_form(
"This form does not support no AcmeAccount selection."
)
# note the lowercase "none"; this is an explicit "no item" selection
# only certain routes allow this
acmeAccountSelection.selection = "none"
account_key_pem_md5 = None
return acmeAccountSelection
else:
formStash.fatal_form(
message="Invalid `account_key_option`",
)
if not account_key_pem_md5:
# `formStash.fatal_field()` will raise `FormFieldInvalid(FormInvalid)`
formStash.fatal_field(
field=account_key_option, message="You did not provide a value"
)
dbAcmeAccount = lib_db.get.get__AcmeAccount__by_pemMd5(
request.api_context, account_key_pem_md5, is_active=True
)
if not dbAcmeAccount:
# `formStash.fatal_field()` will raise `FormFieldInvalid(FormInvalid)`
formStash.fatal_field(
field=account_key_option,
message="The selected AcmeAccount is not enrolled in the system.",
)
if is_global_default and not dbAcmeAccount.is_global_default:
# `formStash.fatal_field()` will raise `FormFieldInvalid(FormInvalid)`
formStash.fatal_field(
field=account_key_option,
message="The selected AcmeAccount is not the current default.",
)
acmeAccountSelection.AcmeAccount = dbAcmeAccount
return acmeAccountSelection
# `formStash.fatal_form()` will raise `FormInvalid()`
formStash.fatal_form("There was an error validating your form.")
def parse_PrivateKeySelection(request, formStash, private_key_option=None):
private_key_pem = None
private_key_pem_md5 = None
PrivateKey = None # :class:`model.objects.PrivateKey`
# handle the explicit-option
privateKeySelection = _PrivateKeySelection()
if private_key_option == "private_key_file":
# this will handle form validation and raise errors.
parser = _PrivateKeyUploadParser(formStash)
parser.require_upload()
# update our object
privateKeySelection.selection = "upload"
privateKeySelection.upload_parsed = parser
privateKeySelection.private_key_strategy__requested = (
model_utils.PrivateKeySelection_2_PrivateKeyStrategy["upload"]
)
return privateKeySelection
else:
if private_key_option == "private_key_existing":
privateKeySelection.selection = "existing"
privateKeySelection.private_key_strategy__requested = (
model_utils.PrivateKeySelection_2_PrivateKeyStrategy["existing"]
)
private_key_pem_md5 = formStash.results["private_key_existing"]
elif private_key_option == "private_key_reuse":
privateKeySelection.selection = "reuse"
privateKeySelection.private_key_strategy__requested = (
model_utils.PrivateKeySelection_2_PrivateKeyStrategy["reuse"]
)
private_key_pem_md5 = formStash.results["private_key_reuse"]
elif private_key_option in (
"private_key_generate",
"private_key_for_account_key",
):
dbPrivateKey = lib_db.get.get__PrivateKey__by_id(request.api_context, 0)
if not dbPrivateKey:
formStash.fatal_field(
field=private_key_option,
message="Could not load the placeholder PrivateKey.",
)
privateKeySelection.PrivateKey = dbPrivateKey
if private_key_option == "private_key_generate":
privateKeySelection.selection = "generate"
privateKeySelection.private_key_strategy__requested = (
model_utils.PrivateKeySelection_2_PrivateKeyStrategy["generate"]
)
elif private_key_option == "private_key_for_account_key":
privateKeySelection.selection = "private_key_for_account_key"
privateKeySelection.private_key_strategy__requested = (
model_utils.PrivateKeySelection_2_PrivateKeyStrategy[
"private_key_for_account_key"
]
)
return privateKeySelection
else:
# `formStash.fatal_form()` will raise `FormInvalid()`
formStash.fatal_form("Invalid `private_key_option`")
if not private_key_pem_md5:
# `formStash.fatal_field()` will raise `FormFieldInvalid(FormInvalid)`
formStash.fatal_field(
field=private_key_option, message="You did not provide a value"
)
dbPrivateKey = lib_db.get.get__PrivateKey__by_pemMd5(
request.api_context, private_key_pem_md5, is_active=True
)
if not dbPrivateKey:
# `formStash.fatal_field()` will raise `FormFieldInvalid(FormInvalid)`
formStash.fatal_field(
field=private_key_option,
message="The selected PrivateKey is not enrolled in the system.",
)
privateKeySelection.PrivateKey = dbPrivateKey
return privateKeySelection
# `formStash.fatal_form()` will raise `FormInvalid()`
formStash.fatal_form("There was an error validating your form.")
def form_key_selection(request, formStash, require_contact=None):
"""
:param formStash: an instance of `pyramid_formencode_classic.FormStash`
:param require_contact: ``True`` if required; ``False`` if not; ``None`` for conditional logic
"""
acmeAccountSelection = parse_AcmeAccountSelection(
request,
formStash,
account_key_option=formStash.results["account_key_option"],
require_contact=require_contact,
)
if acmeAccountSelection.selection == "upload":
key_create_args = acmeAccountSelection.upload_parsed.getcreate_args
key_create_args["event_type"] = "AcmeAccount__insert"
key_create_args[
"acme_account_key_source_id"
] = model_utils.AcmeAccountKeySource.from_string("imported")
(dbAcmeAccount, _is_created,) = lib_db.getcreate.getcreate__AcmeAccount(
request.api_context, **key_create_args
)
acmeAccountSelection.AcmeAccount = dbAcmeAccount
privateKeySelection = parse_PrivateKeySelection(
request,
formStash,
private_key_option=formStash.results["private_key_option"],
)
if privateKeySelection.selection == "upload":
key_create_args = privateKeySelection.upload_parsed.getcreate_args
key_create_args["event_type"] = "PrivateKey__insert"
key_create_args[
"private_key_source_id"
] = model_utils.PrivateKeySource.from_string("imported")
key_create_args["private_key_type_id"] = model_utils.PrivateKeyType.from_string(
"standard"
)
(
dbPrivateKey,
_is_created,
) = lib_db.getcreate.getcreate__PrivateKey__by_pem_text(
request.api_context, **key_create_args
)
privateKeySelection.PrivateKey = dbPrivateKey
elif privateKeySelection.selection == "generate":
dbPrivateKey = lib_db.get.get__PrivateKey__by_id(request.api_context, 0)
if not dbPrivateKey:
formStash.fatal_field(
field="private_key_option",
message="Could not load the placeholder PrivateKey for autogeneration.",
)
privateKeySelection.PrivateKey = dbPrivateKey
return (acmeAccountSelection, privateKeySelection)
def form_domains_challenge_typed(request, formStash, http01_only=False):
domains_challenged = model_utils.DomainsChallenged()
domain_names_all = []
try:
# 1: iterate over the submitted domains by segment
for (target_, source_) in DOMAINS_CHALLENGED_FIELDS.items():
submitted_ = formStash.results.get(source_)
if submitted_:
# this function checks the domain names match a simple regex
# it will raise a `ValueError("invalid domain")` on the first invalid domain
submitted_ = utils.domains_from_string(submitted_)
if submitted_:
domain_names_all.extend(submitted_)
domains_challenged[target_] = submitted_
# 2: ensure there are domains
if not domain_names_all:
# `formStash.fatal_field()` will raise `FormFieldInvalid(FormInvalid)`
formStash.fatal_field(
field="Error_Main",
message="no domain names submitted",
)
# 3: ensure there is no overlap
domain_names_all_set = set(domain_names_all)
if len(domain_names_all) != len(domain_names_all_set):
# `formStash.fatal_field()` will raise `FormFieldInvalid(FormInvalid)`
formStash.fatal_field(
field="Error_Main",
message="a domain name can only be associated to one challenge type",
)
# 4: maybe we only want http01 domains submitted?
if http01_only:
for (k, v) in domains_challenged.items():
if k == "http-01":
continue
if v:
# `formStash.fatal_field()` will raise `FormFieldInvalid(FormInvalid)`
formStash.fatal_field(
field="Error_Main",
message="only http-01 domains are accepted by this form",
)
except ValueError as exc:
# `formStash.fatal_field()` will raise `FormFieldInvalid(FormInvalid)`
formStash.fatal_field(
field="Error_Main", message="invalid domain names detected"
)
return domains_challenged
def form_single_domain_challenge_typed(request, formStash, challenge_type="http-01"):
domains_challenged = model_utils.DomainsChallenged()
# this function checks the domain names match a simple regex
domain_names = utils.domains_from_string(formStash.results["domain_name"])
if not domain_names:
# `formStash.fatal_field()` will raise `FormFieldInvalid(FormInvalid)`
formStash.fatal_field(field="domain_name", message="Found no domain names")
if len(domain_names) != 1:
# `formStash.fatal_field()` will raise `FormFieldInvalid(FormInvalid)`
formStash.fatal_field(
field="domain_name",
message="This endpoint currently supports only 1 domain name",
)
domains_challenged[challenge_type] = domain_names
return domains_challenged
| 39.271074 | 151 | 0.638032 |
07a919ed87f13258649cbf2c9c6e2971a4de419e | 5,568 | py | Python | AI_Engine_Development/Feature_Tutorials/07-AI-Engine-Floating-Point/Utils/GenerationLib.py | jlamperez/Vitis-Tutorials | 9a5b611caabb5656bbb2879116e032227b164bfd | [
"Apache-2.0"
] | 1 | 2022-03-09T06:15:43.000Z | 2022-03-09T06:15:43.000Z | AI_Engine_Development/Feature_Tutorials/07-AI-Engine-Floating-Point/Utils/GenerationLib.py | jlamperez/Vitis-Tutorials | 9a5b611caabb5656bbb2879116e032227b164bfd | [
"Apache-2.0"
] | null | null | null | AI_Engine_Development/Feature_Tutorials/07-AI-Engine-Floating-Point/Utils/GenerationLib.py | jlamperez/Vitis-Tutorials | 9a5b611caabb5656bbb2879116e032227b164bfd | [
"Apache-2.0"
] | null | null | null | #
# Copyright 20202021 Xilinx, 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 writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import numpy as np
from math import *
import random
| 33.341317 | 119 | 0.541667 |
07aa6fe145a48bc2b3e22c3ee731584817a386ba | 357 | py | Python | Object Oriented Programming/Lecture 01/Intro.py | ashish-ad/Python-Projects | 7f49476b6945189165d536629109030f10603556 | [
"Unlicense"
] | 1 | 2021-10-08T06:52:12.000Z | 2021-10-08T06:52:12.000Z | Object Oriented Programming/Lecture 01/Intro.py | ashish-ad/Python-Projects | 7f49476b6945189165d536629109030f10603556 | [
"Unlicense"
] | null | null | null | Object Oriented Programming/Lecture 01/Intro.py | ashish-ad/Python-Projects | 7f49476b6945189165d536629109030f10603556 | [
"Unlicense"
] | null | null | null | item1='phone'
item1_price = 100
item1_quantity = 5
item1_price_total = item1_price * item1_quantity
print(type(item1)) # str
print(type(item1_price)) # int
print(type(item1_quantity)) # int
print(type(item1_price_total)) # int
# output:
# <class 'str'>
# <class 'int'>
# <class 'int'>
# <class 'int'> | 21 | 48 | 0.59944 |
07ab77d7eb12a86186be6ca7c7efa3f2eb65e7be | 342 | py | Python | configs/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_NoiseRandom_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_ycbvPbr_SO/FlowNet512_1.5AugCosyAAEGray_NoiseRandom_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_Pbr_16_36WoodBlock.py | THU-DA-6D-Pose-Group/self6dpp | c267cfa55e440e212136a5e9940598720fa21d16 | [
"Apache-2.0"
] | 33 | 2021-12-15T07:11:47.000Z | 2022-03-29T08:58:32.000Z | configs/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_NoiseRandom_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_ycbvPbr_SO/FlowNet512_1.5AugCosyAAEGray_NoiseRandom_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_Pbr_16_36WoodBlock.py | THU-DA-6D-Pose-Group/self6dpp | c267cfa55e440e212136a5e9940598720fa21d16 | [
"Apache-2.0"
] | 3 | 2021-12-15T11:39:54.000Z | 2022-03-29T07:24:23.000Z | configs/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_NoiseRandom_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_ycbvPbr_SO/FlowNet512_1.5AugCosyAAEGray_NoiseRandom_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_Pbr_16_36WoodBlock.py | THU-DA-6D-Pose-Group/self6dpp | c267cfa55e440e212136a5e9940598720fa21d16 | [
"Apache-2.0"
] | null | null | null | _base_ = "./FlowNet512_1.5AugCosyAAEGray_NoiseRandom_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_Pbr_01_02MasterChefCan.py"
OUTPUT_DIR = "output/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_NoiseRandom_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_ycbvPbr_SO/16_36WoodBlock"
DATASETS = dict(TRAIN=("ycbv_036_wood_block_train_pbr",))
| 85.5 | 154 | 0.903509 |
07abd88c1750bfa23ce141be4914e78e9e578d95 | 316 | py | Python | sqlakeyset/__init__.py | jhihruei/sqlakeyset | 0aa0f6e041dc37bc5f918303578875ad334cad6c | [
"Unlicense"
] | null | null | null | sqlakeyset/__init__.py | jhihruei/sqlakeyset | 0aa0f6e041dc37bc5f918303578875ad334cad6c | [
"Unlicense"
] | null | null | null | sqlakeyset/__init__.py | jhihruei/sqlakeyset | 0aa0f6e041dc37bc5f918303578875ad334cad6c | [
"Unlicense"
] | null | null | null |
from .columns import OC
from .paging import get_page, select_page, process_args
from .results import serialize_bookmark, unserialize_bookmark, Page, Paging
__all__ = [
'OC',
'get_page',
'select_page',
'serialize_bookmark',
'unserialize_bookmark',
'Page',
'Paging',
'process_args'
]
| 19.75 | 75 | 0.693038 |
07abdc1f2ef1ad7ab554d9cccaa9f73782091369 | 6,609 | py | Python | low_rank_local_connectivity/models/simple_model.py | shaun95/google-research | d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5 | [
"Apache-2.0"
] | 1 | 2022-03-13T21:48:52.000Z | 2022-03-13T21:48:52.000Z | low_rank_local_connectivity/models/simple_model.py | shaun95/google-research | d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5 | [
"Apache-2.0"
] | null | null | null | low_rank_local_connectivity/models/simple_model.py | shaun95/google-research | d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5 | [
"Apache-2.0"
] | 1 | 2022-03-30T07:20:29.000Z | 2022-03-30T07:20:29.000Z | # coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Simple model for image classification.
The model is multiple
conv/locally_connected/wide_conv/low_rank_locally_connected layers followed
by a fully connected layer. Changes to the model architecture can be made by
modifying simple_model_config.py file.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import copy
import os
import tensorflow.compat.v1 as tf
from low_rank_local_connectivity import layers
from low_rank_local_connectivity import utils
MOMENTUM = 0.9
EPS = 1e-5
| 37.982759 | 80 | 0.681192 |
07ad506b318b0e47d29c2d5e943847cb809ea5ef | 721 | py | Python | adafruit_circuitpython_libs/adafruit-circuitpython-bundle-py-20210214/examples/icm20x_icm20948_gyro_data_rate_test.py | jacoblb64/pico_rgb_keypad_hid | 3251ca6a98ef86d9f98c54f639c4d61810601a0b | [
"MIT"
] | 47 | 2021-02-15T23:02:36.000Z | 2022-03-04T21:30:03.000Z | adafruit_circuitpython_libs/adafruit-circuitpython-bundle-py-20210214/examples/icm20x_icm20948_gyro_data_rate_test.py | jacoblb64/pico_rgb_keypad_hid | 3251ca6a98ef86d9f98c54f639c4d61810601a0b | [
"MIT"
] | 7 | 2021-02-19T20:00:08.000Z | 2022-01-14T10:51:12.000Z | adafruit_circuitpython_libs/adafruit-circuitpython-bundle-py-20210214/examples/icm20x_icm20948_gyro_data_rate_test.py | jacoblb64/pico_rgb_keypad_hid | 3251ca6a98ef86d9f98c54f639c4d61810601a0b | [
"MIT"
] | 14 | 2021-02-20T17:40:56.000Z | 2022-01-01T19:53:38.000Z | # SPDX-FileCopyrightText: 2021 ladyada for Adafruit Industries
# SPDX-License-Identifier: MIT
import time
import board
import busio
from adafruit_icm20x import ICM20948
cycles = 200
i2c = busio.I2C(board.SCL, board.SDA)
icm = ICM20948(i2c)
# Cycle between two data rates
# Best viewed in the Mu serial plotter where you can see how
# the data rate affects the resolution of the data
while True:
icm.gyro_data_rate_divisor = 0 # minimum
print("Data Rate:", icm.gyro_data_rate)
time.sleep(2)
for i in range(cycles):
print(icm.gyro)
icm.gyro_data_rate_divisor = 255 # maximum
print("Data Rate:", icm.gyro_data_rate)
time.sleep(2)
for i in range(cycles):
print(icm.gyro)
| 25.75 | 62 | 0.718447 |
07afa89bd7f7b951972777c2099542dd2fbf96da | 304 | py | Python | 1186.py | TheLurkingCat/TIOJ | 077e1cd22239d8f6bc1cd7561f27c68143e80263 | [
"MIT"
] | null | null | null | 1186.py | TheLurkingCat/TIOJ | 077e1cd22239d8f6bc1cd7561f27c68143e80263 | [
"MIT"
] | null | null | null | 1186.py | TheLurkingCat/TIOJ | 077e1cd22239d8f6bc1cd7561f27c68143e80263 | [
"MIT"
] | null | null | null | a = int(input())
while a:
for x in range(a-1):
out = '*' + ' ' * (a-x-2) + '*' + ' ' * (a-x-2) + '*'
print(out.center(2*a-1))
print('*' * (2 * a - 1))
for x in range(a-1):
out = '*' + ' ' * x + '*' + ' ' * x + '*'
print(out.center(2*a-1))
a = int(input())
| 27.636364 | 61 | 0.348684 |
07afdc77d12fe88ab48cead7329435544528b522 | 8,032 | py | Python | utils/common.py | initialed85/eds-cctv-system | fcdb7e7e23327bf3a901d23d506b3915833027d1 | [
"MIT"
] | null | null | null | utils/common.py | initialed85/eds-cctv-system | fcdb7e7e23327bf3a901d23d506b3915833027d1 | [
"MIT"
] | null | null | null | utils/common.py | initialed85/eds-cctv-system | fcdb7e7e23327bf3a901d23d506b3915833027d1 | [
"MIT"
] | null | null | null | import datetime
import json
import os
from pathlib import Path
from types import SimpleNamespace
from typing import List
from typing import NamedTuple, Union, Optional, Callable
from uuid import uuid3, NAMESPACE_DNS
from dateutil.parser import parse
_VIDEO_SUFFIXES = [".mkv", ".mp4"]
_IMAGE_SUFFIXES = [".jpg"]
_PERMITTED_EXTENSIONS = _VIDEO_SUFFIXES + _IMAGE_SUFFIXES
def get_sorted_paths(path: Path) -> List[Path]:
return sorted(Path(path).iterdir(), key=os.path.getmtime)
def format_timestamp_for_go(timestamp: Union[datetime.datetime, str]) -> str:
if isinstance(timestamp, str):
timestamp = parse(timestamp)
us = timestamp.strftime("%f")
tz_raw = timestamp.strftime("%z")
tz = "{}:{}".format(tz_raw[0:3], tz_raw[3:])
return timestamp.strftime(f"%Y-%m-%dT%H:%M:%S.{us}00{tz}")
def parse_paths(paths: List[Path], tzinfo: datetime.tzinfo, parse_method: Callable) -> List[PathDetails]:
return [
y
for y in [parse_method(path=x, tzinfo=tzinfo) for x in paths if x is not None]
if y is not None
]
def build_event_for_some_path_details(some_path_details: List[PathDetails], path: Path):
if len(some_path_details) != 4:
raise ValueError(
f"expected some_path_details to be 4 long (and related); instead it was {len(some_path_details)} long"
)
event_ids = list(set([x.event_id for x in some_path_details]))
if len(event_ids) != 1:
raise ValueError(
f"expected all PathDetails to have a common event_id; instead they were {event_ids}"
)
camera_ids = list(set([x.camera_id for x in some_path_details]))
if len(camera_ids) != 1:
raise ValueError(
f"expected all PathDetails to have a common camera_id; instead they were {camera_ids}"
)
camera_names = list(set([x.camera_name for x in some_path_details]))
if len(camera_names) != 1:
raise ValueError(
f"expected all PathDetails to have a common camera_name; instead they were {camera_names}"
)
high_res_image_paths = list(
set([x.path for x in some_path_details if x.is_image and not x.is_lowres])
)
if len(high_res_image_paths) != 1:
raise ValueError(
f"expected to find 1 high_res_image_path from PathDetails; instead found {high_res_image_paths}"
)
low_res_image_paths = list(
set([x.path for x in some_path_details if x.is_image and x.is_lowres])
)
if len(low_res_image_paths) != 1:
raise ValueError(
f"expected to find 1 low_res_image_path from PathDetails; instead found {low_res_image_paths}"
)
high_res_video_paths = list(
set([x.path for x in some_path_details if not x.is_image and not x.is_lowres])
)
if len(high_res_video_paths) != 1:
raise ValueError(
f"expected to find 1 high_res_video_path from PathDetails; instead found {high_res_video_paths}"
)
low_res_video_paths = list(
set([x.path for x in some_path_details if not x.is_image and x.is_lowres])
)
if len(low_res_video_paths) != 1:
raise ValueError(
f"expected to find 1 low_res_video_path from PathDetails; instead found {low_res_video_paths}"
)
timestamp = sorted([x.timestamp for x in some_path_details])[0]
high_res_image_path = high_res_image_paths[0]
low_res_image_path = low_res_image_paths[0]
high_res_video_path = high_res_video_paths[0]
low_res_video_path = low_res_video_paths[0]
# in Go:
# eventId := uuid.NewSHA1(
# uuid.NameSpaceDNS,
# []byte(fmt.Sprintf("%v, %v, %v, %v, %v", timestamp, highResImagePath, lowResImagePath, highResVideoPath, lowResVideoPath)),
# )
event_id = uuid3(
NAMESPACE_DNS,
f"{format_timestamp_for_go(timestamp)}, {high_res_image_path}, {low_res_image_path}, {high_res_video_path}, {low_res_video_path}",
)
return Event(
event_id=str(event_id),
timestamp=timestamp,
camera_name=camera_names[0],
high_res_image_path=str(path / high_res_image_path),
low_res_image_path=str(path / low_res_image_path),
high_res_video_path=str(path / high_res_video_path),
low_res_video_path=str(path / low_res_video_path),
)
def relate_path_details(
some_path_details: List[PathDetails],
get_key_methods: List[Callable]
) -> List[List[PathDetails]]:
some_path_details_by_key = {}
for path_details in some_path_details:
keys = [x(path_details) for x in get_key_methods]
for key in keys:
some_path_details_by_key.setdefault(key, [])
some_path_details_by_key[key] += [path_details]
viable_some_path_details_by_key = {
k: v for k, v in some_path_details_by_key.items() if len(v) == 4
}
deduplicated_path_details = []
for some_path_details in viable_some_path_details_by_key.values():
if some_path_details not in deduplicated_path_details:
deduplicated_path_details += [some_path_details]
return deduplicated_path_details
def build_events_for_related_path_details(
related_path_details: List[List[PathDetails]], path: Path
) -> List[Event]:
events: List[Event] = []
for some_path_details in related_path_details:
events += [
build_event_for_some_path_details(
some_path_details=some_path_details, path=path
)
]
sorted_events = sorted(events, key=lambda x: x.timestamp)
for event in sorted_events:
event.timestamp = format_timestamp_for_go(timestamp=event.timestamp)
return sorted_events
def build_json_lines_from_events(events: List[Event]) -> str:
return "\n".join(
[
json.dumps(
{
"event_id": x.event_id,
"timestamp": x.timestamp,
"camera_name": x.camera_name,
"high_res_image_path": x.high_res_image_path,
"low_res_image_path": x.low_res_image_path,
"high_res_video_path": x.high_res_video_path,
"low_res_video_path": x.low_res_video_path,
}
)
for x in events
]
)
def write_to_file(path: Path, data: str):
with open(str(path), "w") as f:
f.write(data)
def rebuild_event_store(root_path: Path, tzinfo: datetime.tzinfo, json_path: Path, parse_method: Callable, get_key_methods: List[Callable]):
print(f"getting sorted paths from {root_path}...")
sorted_paths = get_sorted_paths(path=root_path)
print(f"got {len(sorted_paths)} sorted paths")
print("parsing sorted paths...")
some_path_details = parse_paths(paths=sorted_paths, tzinfo=tzinfo, parse_method=parse_method)
print(f"got {len(some_path_details)} parsed paths")
print("relating parsed paths...")
related_path_details = relate_path_details(some_path_details=some_path_details,
get_key_methods=get_key_methods)
print(f"got {len(related_path_details)} related paths")
print("building events...")
events = build_events_for_related_path_details(
related_path_details=related_path_details, path=root_path
)
print(f"built {len(events)} events")
print("building json lines...")
json_lines = build_json_lines_from_events(events=events)
print(f"built {len(json_lines)} bytes")
print(f"writing to {json_path}")
write_to_file(path=json_path, data=json_lines)
print("done.")
| 33.606695 | 140 | 0.671564 |
07b0911062690c0f062a5b15420ab76dd3a0ddb5 | 807 | py | Python | schoolio/migrations/0005_auto_20190927_1423.py | schoolio-co/schoolio_site | a616807c504c7a7cab3b9f7c3dab42f827cb0580 | [
"MIT",
"Unlicense"
] | null | null | null | schoolio/migrations/0005_auto_20190927_1423.py | schoolio-co/schoolio_site | a616807c504c7a7cab3b9f7c3dab42f827cb0580 | [
"MIT",
"Unlicense"
] | null | null | null | schoolio/migrations/0005_auto_20190927_1423.py | schoolio-co/schoolio_site | a616807c504c7a7cab3b9f7c3dab42f827cb0580 | [
"MIT",
"Unlicense"
] | null | null | null | # Generated by Django 2.2.1 on 2019-09-27 14:23
from django.db import migrations, models
| 27.827586 | 74 | 0.607187 |
07b47bbb8eb7acb013788dd5e04ca55c384f4c1f | 7,732 | py | Python | scripts/extract_gs_citations.py | akhilpandey95/scholarlyimpact | 215ae832c90f0564fa0301e4c3f1c99525617625 | [
"MIT"
] | null | null | null | scripts/extract_gs_citations.py | akhilpandey95/scholarlyimpact | 215ae832c90f0564fa0301e4c3f1c99525617625 | [
"MIT"
] | 18 | 2020-02-20T23:40:26.000Z | 2020-10-20T04:05:43.000Z | scripts/extract_gs_citations.py | akhilpandey95/scholarlyimpact | 215ae832c90f0564fa0301e4c3f1c99525617625 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# This Source Code Form is subject to the terms of the MIT
# License. If a copy of the same was not distributed with this
# file, You can obtain one at
# https://github.com/akhilpandey95/scholarlyimpact/blob/master/LICENSE.
import os
import csv
import glob
import json
import requests
import subprocess
import numpy as np
import pandas as pd
from tqdm import tqdm
from ast import literal_eval
from fp.fp import FreeProxy
from torrequest import TorRequest
from scholarly import scholarly
from collections import Counter, OrderedDict
from operator import attrgetter
# class definition for Rate limiting
# function for obtaining the citations using the dimensions web url
def get_gs_citations_web(title):
"""
Use the google scholar web URL and requests API to obtain the citations
for a given title of a scholarly article
Parameters
----------
arg1 | title: str
The title of a scholarly article
Returns
-------
Dictionary
dict
"""
while True:
try:
# call the lumproxy object
scholarly.use_lum_proxy()
# make the query
query = scholarly.search_pubs(title)
# come out
break
except Exception as e:
# come out and try again
break
# return the response dict
return next(query)
# function for assigning new IP address
def assign_new_ip(text=False):
"""
Reset the identity using TorRequest
Parameters
----------
arg1 [OPTIONAL]| text: bool
A boolean flag to return the IP address tuple (old, morphed)
Returns
-------
boolean
True/False
"""
try:
# pass the hashed password
req = TorRequest(password='scholarly_password')
# return the ip address
normal_identity = requests.get('http://ipecho.net/plain')
# reset the identity using Tor
req.reset_identity()
# make a request now
morphed_identity = req.get('http://ipecho.net/plain')
# return the status depending on the flag
if morphed_identity != normal_identity:
if text == True:
# return the ip address pairs as a tuple
return (normal_identity.text, morphed_identity.text)
else:
return True
else:
# return just the status
return False
except:
return False
# function for assigning a new proxy
def set_new_proxy(text=True):
"""
Reset the identity using FreeProxy
Parameters
----------
arg1 [OPTIONAL]| text: bool
A boolean flag to return the IP address tuple (old, morphed)
Returns
-------
Address
fp.fp.FreeProxy
"""
while True:
# call the freeproxy object
proxy = FreeProxy(rand=True, timeout=1).get()
# allocate the proxy address to scholarly
proxy_works = scholarly.use_proxy(http=proxy, https=proxy)
# check it the ip address works
if proxy_works:
# come out
break
# print the ip address depending on the text argument
if text:
# print the working ip
print("Working proxy:", proxy)
# return the proxy details
return proxy
# function for connecting tor to scholarly
def scholarly_init_connection():
"""
Bind TorRequest to Scholarly service
Parameters
----------
No arguments
Returns
-------
Nothing
"""
while True:
# assign new tor identity
ips = assign_new_ip(text=True)
# use the tor request for scholarly
tor_req = scholarly.use_tor(tor_sock_port=9050, \
tor_control_port=9051, \
tor_pw="scholarly_password")
if tor_req:
# come out of the loop, when successful
break
# print the tor identity
print("Working Tor identity:", ips[1])
# function for restarting the system tor service
def restart_tor_system_service(text=False):
"""
Use the os module to restart the tor service
Parameters
----------
arg1 [OPTIONAL]| text: bool
A boolean flag to return the status of the command
Returns
-------
Boolean
bool
"""
# subprocess command for stopping the tor service
tor_stop = subprocess.Popen(['service', 'tor', 'stop'])
# subprocess command for restarting the tor service
tor_restart = subprocess.Popen(['service', 'tor', 'restart'])
# subprocess command for restarting the tor service
tor_status = subprocess.Popen(['service', 'tor', 'status'],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
universal_newlines=True)
# if the label is set to true then print the output
if text:
for output in tor_status.stdout.readlines():
print(output.strip())
# pipe out the stdout, stderr for the subprocess
stdout, stderr = tor_status.communicate()
if len(stderr) > 0:
# return False
return False
else:
# return true if successful
return True
def get_articleInfo(title):
"""
Use the google scholar web URL and requests API to obtain the citations
for a given title of a scholarly article
Parameters
----------
arg1 | title: str
The title of a scholarly article
Returns
-------
Dictionary
dict
"""
while True:
try:
# init the connection with scholarly and tor
scholarly_init_connection()
# search for the query
search_query = scholarly.search_pubs(title)
# print success
print("Got the results of the query")
# come out of the loop
break
except Exception as e:
# print error message
print("Attempt Failed, patching new tor identity")
# restart the system tor service
restart_tor_system_service(text=False)
# assign new connection again
scholarly_init_connection()
# obtain the bib entry of the scholarly article
pub = next(search_query)
# return the bib entry
return pub
if __name__ == '__main__':
# iterate over the length
length_of_file = len(open('paper_titles.txt').readlines())
# place the contents of the list into a file
alt_list = open('paper_titles.txt').readlines()
# iterate over the length of the file
# write the results to a file
for i in tqdm(range(length_of_file)):
alt_info = open('paper_titles.txt', 'r+')
cit_info = open('citations_gs.csv', 'a')
cit_info.write(str(alt_list[i].strip(
).split('\t')[0]) + ',' + str(get_articleInfo(alt_list[i].strip().split('\t')[1])))
cit_info.write('\n')
cit_info.close()
alt_info.seek(0)
alt_info.truncate()
alt_info.writelines(alt_list[i+1:])
alt_info.close()
| 26.847222 | 91 | 0.602431 |
07b56e4319a20d96b921852eb21d1c92a5f276de | 4,672 | py | Python | dist-packages/reportlab/pdfgen/pathobject.py | Jianwei-Wang/python2.7_lib | 911b8e81512e5ac5f13e669ab46f7693ed897378 | [
"PSF-2.0"
] | 51 | 2015-01-20T19:50:34.000Z | 2022-03-05T21:23:32.000Z | dist-packages/reportlab/pdfgen/pathobject.py | Jianwei-Wang/python2.7_lib | 911b8e81512e5ac5f13e669ab46f7693ed897378 | [
"PSF-2.0"
] | 16 | 2015-11-15T04:23:43.000Z | 2021-09-27T14:14:20.000Z | src/reportlab/pdfgen/pathobject.py | guildenstern70/pyfab | 34d786fec17192591ac3c5f73913a9b04311695a | [
"MIT"
] | 46 | 2015-03-28T10:18:14.000Z | 2021-12-16T15:57:47.000Z | #Copyright ReportLab Europe Ltd. 2000-2012
#see license.txt for license details
#history http://www.reportlab.co.uk/cgi-bin/viewcvs.cgi/public/reportlab/trunk/reportlab/pdfgen/pathobject.py
__version__=''' $Id$ '''
__doc__="""
PDFPathObject is an efficient way to draw paths on a Canvas. Do not
instantiate directly, obtain one from the Canvas instead.
Progress Reports:
8.83, 2000-01-13, gmcm: created from pdfgen.py
"""
from reportlab.pdfgen import pdfgeom
from reportlab.lib.rl_accel import fp_str
| 36.5 | 109 | 0.627354 |
07b58dc361c480dc7628924d4fba99b729151138 | 687 | py | Python | client/modules/Wikipedia.py | devagul93/Jarvis-System | 8d1865b19bb8530831c868147c3b27a1c3bad59b | [
"MIT"
] | null | null | null | client/modules/Wikipedia.py | devagul93/Jarvis-System | 8d1865b19bb8530831c868147c3b27a1c3bad59b | [
"MIT"
] | null | null | null | client/modules/Wikipedia.py | devagul93/Jarvis-System | 8d1865b19bb8530831c868147c3b27a1c3bad59b | [
"MIT"
] | null | null | null | import wikipedia
import re
import TCPclient as client
WORDS = ["WIKIPEDIA","SEARCH","INFORMATION"]
| 19.083333 | 61 | 0.679767 |
07b68a248a019f47e10cdf7898c67384df56c25f | 1,447 | py | Python | Madlibs/madlibs.py | nikhil-amin/python-mini-project | cd70a6a43408ce74cff501ce4d4658ab82260c2d | [
"MIT"
] | 2 | 2021-08-20T08:59:28.000Z | 2021-11-23T00:17:15.000Z | Madlibs/madlibs.py | nikhil-amin/python-mini-project | cd70a6a43408ce74cff501ce4d4658ab82260c2d | [
"MIT"
] | null | null | null | Madlibs/madlibs.py | nikhil-amin/python-mini-project | cd70a6a43408ce74cff501ce4d4658ab82260c2d | [
"MIT"
] | 1 | 2022-01-06T16:35:43.000Z | 2022-01-06T16:35:43.000Z | import random
print("Title : Eat, Drink, And Be Sick")
noun = []
for i in range(4):
n = input("Enter noun : ")
noun.append(n)
plural = []
for i in range(6):
pn = input("Enter plural noun : ")
plural.append(pn)
adjective = []
for i in range(2):
a = input("Enter adjective : ")
adjective.append(a)
adverb = input("Enter adverb : ")
letter = input("Enter any letter : ")
body_part = input("Enter any body part : ")
print("An inspector from the Department of Health and ", random.choice(noun) , " Services paid a surprise visit to our " , random.choice(adjective) , " school cafeteria.")
print("The lunch special, prepared by our " , random.choice(adjective) , "dietician, was spaghetti and " , random.choice(noun) , " balls with a choice of either a " , random.choice(noun) , " salad or French " , random.choice(plural) , ".")
print("The inspector found the meat-" , random.choice(plural) , " to be overcooked and discovered a live " , random.choice(noun) , " in the fries,causing him to have a " + body_part + " ache.")
print("In response, he threw up all over his " , random.choice(plural) , ".")
print("In his report, the inspector " + adverb + " recommended that the school cafeteria serve only nutritious " , random.choice(plural) , " as well as low-calorie " , random.choice(plural) , " and that all of the saturated " , random.choice(plural) , " be eliminated.")
print("He rated the cafeteria a " + letter + "-minus.")
| 60.291667 | 270 | 0.676572 |
07b69c4f080b6ae079038a0250ba13b6035a0cda | 191 | py | Python | scripts/transpose.py | saikrishnarallabandi/python_connectionist | e3f8f92c8de865190ad727951eb2b0e514248afc | [
"Apache-2.0"
] | null | null | null | scripts/transpose.py | saikrishnarallabandi/python_connectionist | e3f8f92c8de865190ad727951eb2b0e514248afc | [
"Apache-2.0"
] | null | null | null | scripts/transpose.py | saikrishnarallabandi/python_connectionist | e3f8f92c8de865190ad727951eb2b0e514248afc | [
"Apache-2.0"
] | null | null | null | import numpy
g = open('/home/srallaba/mgc/transposed/arctic_a0404.mgc','w')
x = numpy.loadtxt('/home/srallaba/mgc_spaces/arctic_a0404.mgc')
numpy.savetxt(g, numpy.transpose(x))
g.close()
| 31.833333 | 64 | 0.73822 |
07b6a4b93bbebd4e00153c0e368d7d75f4691489 | 7,337 | py | Python | tests/zone_api_test/core/zone_manager_test.py | yfaway/zone-apis | 4aa4120cb4a66812dac1d32e86e825bbafe652b8 | [
"MIT"
] | 1 | 2021-11-22T11:51:17.000Z | 2021-11-22T11:51:17.000Z | tests/zone_api_test/core/zone_manager_test.py | yfaway/zone-apis | 4aa4120cb4a66812dac1d32e86e825bbafe652b8 | [
"MIT"
] | 20 | 2021-01-31T00:20:34.000Z | 2022-01-09T18:02:31.000Z | tests/zone_api_test/core/zone_manager_test.py | yfaway/zone-apis | 4aa4120cb4a66812dac1d32e86e825bbafe652b8 | [
"MIT"
] | null | null | null | from zone_api.core.zone_manager import ZoneManager
from zone_api import platform_encapsulator as pe
from zone_api.core.zone import Zone
from zone_api.core.zone_event import ZoneEvent
from zone_api.core.devices.dimmer import Dimmer
from zone_api.core.devices.switch import Fan, Light, Switch
from zone_api.core.devices.illuminance_sensor import IlluminanceSensor
from zone_api.core.devices.motion_sensor import MotionSensor
from zone_api.core.actions.turn_on_switch import TurnOnSwitch
from zone_api_test.core.device_test import DeviceTest
ILLUMINANCE_THRESHOLD_IN_LUX = 8
INVALID_ITEM_NAME = 'invalid item name'
| 40.535912 | 118 | 0.694698 |
07b77a97c35aea2ef5b761b745880bae3410a131 | 2,796 | py | Python | meiduo_mall/meiduo_mall/apps/orders/views.py | Zasling/meiduo_mall33 | ec55597758d5052b311d65aee44533b001f6ddd8 | [
"MIT"
] | 1 | 2019-04-12T08:56:29.000Z | 2019-04-12T08:56:29.000Z | meiduo_mall/meiduo_mall/apps/orders/views.py | Zasling/meiduo_mall33 | ec55597758d5052b311d65aee44533b001f6ddd8 | [
"MIT"
] | null | null | null | meiduo_mall/meiduo_mall/apps/orders/views.py | Zasling/meiduo_mall33 | ec55597758d5052b311d65aee44533b001f6ddd8 | [
"MIT"
] | 1 | 2020-03-30T14:35:22.000Z | 2020-03-30T14:35:22.000Z | from rest_framework.response import Response
from rest_framework.views import APIView
from django_redis import get_redis_connection
from goods.models import SKU
from decimal import Decimal
from rest_framework.generics import CreateAPIView,ListAPIView
from rest_framework.mixins import ListModelMixin
from orders.serializers import OrderShowSerializer, OrderSaveSerializer, OrderListSerializer, CommentSerializers, \
CommentSaveSerializers, CommentShowSerializers
from users.models import User
from orders.models import OrderInfo,OrderGoods
from orders.utils import PageNum
from rest_framework.filters import OrderingFilter
#
#
#
# -
#
#
| 31.066667 | 115 | 0.689199 |
07b88bc36babff3a11858ef34a69a78ca7bd4caf | 37,841 | py | Python | src/streamlink_cli/main.py | melmorabity/streamlink | 24c59a23103922977991acc28741a323d8efa7a1 | [
"BSD-2-Clause"
] | null | null | null | src/streamlink_cli/main.py | melmorabity/streamlink | 24c59a23103922977991acc28741a323d8efa7a1 | [
"BSD-2-Clause"
] | null | null | null | src/streamlink_cli/main.py | melmorabity/streamlink | 24c59a23103922977991acc28741a323d8efa7a1 | [
"BSD-2-Clause"
] | null | null | null | import argparse
import errno
import logging
import os
import platform
import signal
import sys
from collections import OrderedDict
from contextlib import closing
from distutils.version import StrictVersion
from functools import partial
from gettext import gettext
from itertools import chain
from pathlib import Path
from time import sleep
from typing import List
import requests
from socks import __version__ as socks_version
from websocket import __version__ as websocket_version
import streamlink.logger as logger
from streamlink import NoPluginError, PluginError, StreamError, Streamlink, __version__ as streamlink_version
from streamlink.cache import Cache
from streamlink.exceptions import FatalPluginError
from streamlink.plugin import Plugin, PluginOptions
from streamlink.stream import StreamIO, StreamProcess
from streamlink.utils.named_pipe import NamedPipe
from streamlink_cli.argparser import build_parser
from streamlink_cli.compat import DeprecatedPath, is_win32, stdout
from streamlink_cli.console import ConsoleOutput, ConsoleUserInputRequester
from streamlink_cli.constants import CONFIG_FILES, DEFAULT_STREAM_METADATA, LOG_DIR, PLUGIN_DIRS, STREAM_SYNONYMS
from streamlink_cli.output import FileOutput, Output, PlayerOutput
from streamlink_cli.utils import Formatter, HTTPServer, datetime, ignored, progress, stream_to_url
ACCEPTABLE_ERRNO = (errno.EPIPE, errno.EINVAL, errno.ECONNRESET)
try:
ACCEPTABLE_ERRNO += (errno.WSAECONNABORTED,)
except AttributeError:
pass # Not windows
QUIET_OPTIONS = ("json", "stream_url", "subprocess_cmdline", "quiet")
args = None
console: ConsoleOutput = None
output: Output = None
plugin: Plugin = None
stream_fd: StreamIO = None
streamlink: Streamlink = None
log = logging.getLogger("streamlink.cli")
def check_file_output(filename, force):
"""Checks if file already exists and ask the user if it should
be overwritten if it does."""
log.debug("Checking file output")
if os.path.isfile(filename) and not force:
if sys.stdin.isatty():
answer = console.ask(f"File {filename} already exists! Overwrite it? [y/N] ")
if answer.lower() != "y":
sys.exit()
else:
log.error(f"File {filename} already exists, use --force to overwrite it.")
sys.exit()
return FileOutput(filename)
def create_output(formatter: Formatter):
"""Decides where to write the stream.
Depending on arguments it can be one of these:
- The stdout pipe
- A subprocess' stdin pipe
- A named pipe that the subprocess reads from
- A regular file
"""
if (args.output or args.stdout) and (args.record or args.record_and_pipe):
console.exit("Cannot use record options with other file output options.")
if args.output:
if args.output == "-":
out = FileOutput(fd=stdout)
else:
out = check_file_output(formatter.filename(args.output, args.fs_safe_rules), args.force)
elif args.stdout:
out = FileOutput(fd=stdout)
elif args.record_and_pipe:
record = check_file_output(formatter.filename(args.record_and_pipe, args.fs_safe_rules), args.force)
out = FileOutput(fd=stdout, record=record)
else:
http = namedpipe = record = None
if not args.player:
console.exit("The default player (VLC) does not seem to be "
"installed. You must specify the path to a player "
"executable with --player.")
if args.player_fifo:
try:
namedpipe = NamedPipe()
except OSError as err:
console.exit(f"Failed to create pipe: {err}")
elif args.player_http:
http = create_http_server()
if args.record:
record = check_file_output(formatter.filename(args.record, args.fs_safe_rules), args.force)
log.info(f"Starting player: {args.player}")
out = PlayerOutput(
args.player,
args=args.player_args,
quiet=not args.verbose_player,
kill=not args.player_no_close,
namedpipe=namedpipe,
http=http,
record=record,
title=formatter.title(args.title, defaults=DEFAULT_STREAM_METADATA) if args.title else args.url
)
return out
def create_http_server(*_args, **_kwargs):
"""Creates a HTTP server listening on a given host and port.
If host is empty, listen on all available interfaces, and if port is 0,
listen on a random high port.
"""
try:
http = HTTPServer()
http.bind(*_args, **_kwargs)
except OSError as err:
console.exit(f"Failed to create HTTP server: {err}")
return http
def output_stream_http(plugin, initial_streams, formatter: Formatter, external=False, port=0):
"""Continuously output the stream over HTTP."""
global output
if not external:
if not args.player:
console.exit("The default player (VLC) does not seem to be "
"installed. You must specify the path to a player "
"executable with --player.")
server = create_http_server()
player = output = PlayerOutput(
args.player,
args=args.player_args,
filename=server.url,
quiet=not args.verbose_player,
title=formatter.title(args.title, defaults=DEFAULT_STREAM_METADATA) if args.title else args.url
)
try:
log.info(f"Starting player: {args.player}")
if player:
player.open()
except OSError as err:
console.exit(f"Failed to start player: {args.player} ({err})")
else:
server = create_http_server(host=None, port=port)
player = None
log.info("Starting server, access with one of:")
for url in server.urls:
log.info(" " + url)
for req in iter_http_requests(server, player):
user_agent = req.headers.get("User-Agent") or "unknown player"
log.info(f"Got HTTP request from {user_agent}")
stream_fd = prebuffer = None
while not stream_fd and (not player or player.running):
try:
streams = initial_streams or fetch_streams(plugin)
initial_streams = None
for stream_name in (resolve_stream_name(streams, s) for s in args.stream):
if stream_name in streams:
stream = streams[stream_name]
break
else:
log.info("Stream not available, will re-fetch streams in 10 sec")
sleep(10)
continue
except PluginError as err:
log.error(f"Unable to fetch new streams: {err}")
continue
try:
log.info(f"Opening stream: {stream_name} ({type(stream).shortname()})")
stream_fd, prebuffer = open_stream(stream)
except StreamError as err:
log.error(err)
if stream_fd and prebuffer:
log.debug("Writing stream to player")
read_stream(stream_fd, server, prebuffer, formatter)
server.close(True)
player.close()
server.close()
def output_stream_passthrough(stream, formatter: Formatter):
"""Prepares a filename to be passed to the player."""
global output
filename = f'"{stream_to_url(stream)}"'
output = PlayerOutput(
args.player,
args=args.player_args,
filename=filename,
call=True,
quiet=not args.verbose_player,
title=formatter.title(args.title, defaults=DEFAULT_STREAM_METADATA) if args.title else args.url
)
try:
log.info(f"Starting player: {args.player}")
output.open()
except OSError as err:
console.exit(f"Failed to start player: {args.player} ({err})")
return False
return True
def open_stream(stream):
"""Opens a stream and reads 8192 bytes from it.
This is useful to check if a stream actually has data
before opening the output.
"""
global stream_fd
# Attempts to open the stream
try:
stream_fd = stream.open()
except StreamError as err:
raise StreamError(f"Could not open stream: {err}")
# Read 8192 bytes before proceeding to check for errors.
# This is to avoid opening the output unnecessarily.
try:
log.debug("Pre-buffering 8192 bytes")
prebuffer = stream_fd.read(8192)
except OSError as err:
stream_fd.close()
raise StreamError(f"Failed to read data from stream: {err}")
if not prebuffer:
stream_fd.close()
raise StreamError("No data returned from stream")
return stream_fd, prebuffer
def output_stream(stream, formatter: Formatter):
"""Open stream, create output and finally write the stream to output."""
global output
success_open = False
for i in range(args.retry_open):
try:
stream_fd, prebuffer = open_stream(stream)
success_open = True
break
except StreamError as err:
log.error(f"Try {i + 1}/{args.retry_open}: Could not open stream {stream} ({err})")
if not success_open:
console.exit(f"Could not open stream {stream}, tried {args.retry_open} times, exiting")
output = create_output(formatter)
try:
output.open()
except OSError as err:
if isinstance(output, PlayerOutput):
console.exit(f"Failed to start player: {args.player} ({err})")
else:
console.exit(f"Failed to open output: {output.filename} ({err})")
with closing(output):
log.debug("Writing stream to output")
read_stream(stream_fd, output, prebuffer, formatter)
return True
def read_stream(stream, output, prebuffer, formatter: Formatter, chunk_size=8192):
"""Reads data from stream and then writes it to the output."""
is_player = isinstance(output, PlayerOutput)
is_http = isinstance(output, HTTPServer)
is_fifo = is_player and output.namedpipe
show_progress = (
isinstance(output, FileOutput)
and output.fd is not stdout
and (sys.stdout.isatty() or args.force_progress)
)
show_record_progress = (
hasattr(output, "record")
and isinstance(output.record, FileOutput)
and output.record.fd is not stdout
and (sys.stdout.isatty() or args.force_progress)
)
stream_iterator = chain(
[prebuffer],
iter(partial(stream.read, chunk_size), b"")
)
if show_progress:
stream_iterator = progress(
stream_iterator,
prefix=os.path.basename(output.filename)
)
elif show_record_progress:
stream_iterator = progress(
stream_iterator,
prefix=os.path.basename(output.record.filename)
)
try:
for data in stream_iterator:
# We need to check if the player process still exists when
# using named pipes on Windows since the named pipe is not
# automatically closed by the player.
if is_win32 and is_fifo:
output.player.poll()
if output.player.returncode is not None:
log.info("Player closed")
break
try:
output.write(data)
except OSError as err:
if is_player and err.errno in ACCEPTABLE_ERRNO:
log.info("Player closed")
elif is_http and err.errno in ACCEPTABLE_ERRNO:
log.info("HTTP connection closed")
else:
console.exit(f"Error when writing to output: {err}, exiting")
break
except OSError as err:
console.exit(f"Error when reading from stream: {err}, exiting")
finally:
stream.close()
log.info("Stream ended")
def handle_stream(plugin, streams, stream_name):
"""Decides what to do with the selected stream.
Depending on arguments it can be one of these:
- Output internal command-line
- Output JSON represenation
- Continuously output the stream over HTTP
- Output stream data to selected output
"""
stream_name = resolve_stream_name(streams, stream_name)
stream = streams[stream_name]
# Print internal command-line if this stream
# uses a subprocess.
if args.subprocess_cmdline:
if isinstance(stream, StreamProcess):
try:
cmdline = stream.cmdline()
except StreamError as err:
console.exit(err)
console.msg(cmdline)
else:
console.exit("The stream specified cannot be translated to a command")
# Print JSON representation of the stream
elif args.json:
console.msg_json(
stream,
metadata=plugin.get_metadata()
)
elif args.stream_url:
try:
console.msg(stream.to_url())
except TypeError:
console.exit("The stream specified cannot be translated to a URL")
# Output the stream
else:
# Find any streams with a '_alt' suffix and attempt
# to use these in case the main stream is not usable.
alt_streams = list(filter(lambda k: stream_name + "_alt" in k,
sorted(streams.keys())))
file_output = args.output or args.stdout
formatter = get_formatter(plugin)
for stream_name in [stream_name] + alt_streams:
stream = streams[stream_name]
stream_type = type(stream).shortname()
if stream_type in args.player_passthrough and not file_output:
log.info(f"Opening stream: {stream_name} ({stream_type})")
success = output_stream_passthrough(stream, formatter)
elif args.player_external_http:
return output_stream_http(plugin, streams, formatter, external=True,
port=args.player_external_http_port)
elif args.player_continuous_http and not file_output:
return output_stream_http(plugin, streams, formatter)
else:
log.info(f"Opening stream: {stream_name} ({stream_type})")
success = output_stream(stream, formatter)
if success:
break
def fetch_streams(plugin):
"""Fetches streams using correct parameters."""
return plugin.streams(stream_types=args.stream_types,
sorting_excludes=args.stream_sorting_excludes)
def fetch_streams_with_retry(plugin, interval, count):
"""Attempts to fetch streams repeatedly
until some are returned or limit hit."""
try:
streams = fetch_streams(plugin)
except PluginError as err:
log.error(err)
streams = None
if not streams:
log.info(f"Waiting for streams, retrying every {interval} second(s)")
attempts = 0
while not streams:
sleep(interval)
try:
streams = fetch_streams(plugin)
except FatalPluginError:
raise
except PluginError as err:
log.error(err)
if count > 0:
attempts += 1
if attempts >= count:
break
return streams
def resolve_stream_name(streams, stream_name):
"""Returns the real stream name of a synonym."""
if stream_name in STREAM_SYNONYMS and stream_name in streams:
for name, stream in streams.items():
if stream is streams[stream_name] and name not in STREAM_SYNONYMS:
return name
return stream_name
def format_valid_streams(plugin, streams):
"""Formats a dict of streams.
Filters out synonyms and displays them next to
the stream they point to.
Streams are sorted according to their quality
(based on plugin.stream_weight).
"""
delimiter = ", "
validstreams = []
for name, stream in sorted(streams.items(),
key=lambda stream: plugin.stream_weight(stream[0])):
if name in STREAM_SYNONYMS:
continue
synonyms = list(filter(synonymfilter, streams.keys()))
if len(synonyms) > 0:
joined = delimiter.join(synonyms)
name = f"{name} ({joined})"
validstreams.append(name)
return delimiter.join(validstreams)
def handle_url():
"""The URL handler.
Attempts to resolve the URL to a plugin and then attempts
to fetch a list of available streams.
Proceeds to handle stream if user specified a valid one,
otherwise output list of valid streams.
"""
try:
plugin = streamlink.resolve_url(args.url)
setup_plugin_options(streamlink, plugin)
log.info(f"Found matching plugin {plugin.module} for URL {args.url}")
if args.retry_max or args.retry_streams:
retry_streams = 1
retry_max = 0
if args.retry_streams:
retry_streams = args.retry_streams
if args.retry_max:
retry_max = args.retry_max
streams = fetch_streams_with_retry(plugin, retry_streams,
retry_max)
else:
streams = fetch_streams(plugin)
except NoPluginError:
console.exit(f"No plugin can handle URL: {args.url}")
except PluginError as err:
console.exit(err)
if not streams:
console.exit(f"No playable streams found on this URL: {args.url}")
if args.default_stream and not args.stream and not args.json:
args.stream = args.default_stream
if args.stream:
validstreams = format_valid_streams(plugin, streams)
for stream_name in args.stream:
if stream_name in streams:
log.info(f"Available streams: {validstreams}")
handle_stream(plugin, streams, stream_name)
return
err = f"The specified stream(s) '{', '.join(args.stream)}' could not be found"
if args.json:
console.msg_json(
plugin=plugin.module,
metadata=plugin.get_metadata(),
streams=streams,
error=err
)
else:
console.exit(f"{err}.\n Available streams: {validstreams}")
elif args.json:
console.msg_json(
plugin=plugin.module,
metadata=plugin.get_metadata(),
streams=streams
)
elif args.stream_url:
try:
console.msg(streams[list(streams)[-1]].to_manifest_url())
except TypeError:
console.exit("The stream specified cannot be translated to a URL")
else:
validstreams = format_valid_streams(plugin, streams)
console.msg(f"Available streams: {validstreams}")
def print_plugins():
"""Outputs a list of all plugins Streamlink has loaded."""
pluginlist = list(streamlink.get_plugins().keys())
pluginlist_formatted = ", ".join(sorted(pluginlist))
if args.json:
console.msg_json(pluginlist)
else:
console.msg(f"Loaded plugins: {pluginlist_formatted}")
def load_plugins(dirs: List[Path], showwarning: bool = True):
"""Attempts to load plugins from a list of directories."""
for directory in dirs:
if directory.is_dir():
success = streamlink.load_plugins(str(directory))
if success and type(directory) is DeprecatedPath:
log.info(f"Loaded plugins from deprecated path, see CLI docs for how to migrate: {directory}")
elif showwarning:
log.warning(f"Plugin path {directory} does not exist or is not a directory!")
def setup_args(parser: argparse.ArgumentParser, config_files: List[Path] = None, ignore_unknown: bool = False):
"""Parses arguments."""
global args
arglist = sys.argv[1:]
# Load arguments from config files
configs = [f"@{config_file}" for config_file in config_files or []]
args, unknown = parser.parse_known_args(configs + arglist)
if unknown and not ignore_unknown:
msg = gettext("unrecognized arguments: %s")
parser.error(msg % " ".join(unknown))
# Force lowercase to allow case-insensitive lookup
if args.stream:
args.stream = [stream.lower() for stream in args.stream]
if not args.url and args.url_param:
args.url = args.url_param
def setup_http_session():
"""Sets the global HTTP settings, such as proxy and headers."""
if args.http_proxy:
streamlink.set_option("http-proxy", args.http_proxy)
if args.https_proxy:
streamlink.set_option("https-proxy", args.https_proxy)
if args.http_cookie:
streamlink.set_option("http-cookies", dict(args.http_cookie))
if args.http_header:
streamlink.set_option("http-headers", dict(args.http_header))
if args.http_query_param:
streamlink.set_option("http-query-params", dict(args.http_query_param))
if args.http_ignore_env:
streamlink.set_option("http-trust-env", False)
if args.http_no_ssl_verify:
streamlink.set_option("http-ssl-verify", False)
if args.http_disable_dh:
streamlink.set_option("http-disable-dh", True)
if args.http_ssl_cert:
streamlink.set_option("http-ssl-cert", args.http_ssl_cert)
if args.http_ssl_cert_crt_key:
streamlink.set_option("http-ssl-cert", tuple(args.http_ssl_cert_crt_key))
if args.http_timeout:
streamlink.set_option("http-timeout", args.http_timeout)
def setup_plugins(extra_plugin_dir=None):
"""Loads any additional plugins."""
load_plugins(PLUGIN_DIRS, showwarning=False)
if extra_plugin_dir:
load_plugins([Path(path).expanduser() for path in extra_plugin_dir])
def setup_streamlink():
"""Creates the Streamlink session."""
global streamlink
streamlink = Streamlink({"user-input-requester": ConsoleUserInputRequester(console)})
def setup_options():
"""Sets Streamlink options."""
if args.interface:
streamlink.set_option("interface", args.interface)
if args.ipv4:
streamlink.set_option("ipv4", args.ipv4)
if args.ipv6:
streamlink.set_option("ipv6", args.ipv6)
if args.ringbuffer_size:
streamlink.set_option("ringbuffer-size", args.ringbuffer_size)
if args.mux_subtitles:
streamlink.set_option("mux-subtitles", args.mux_subtitles)
if args.hds_live_edge:
streamlink.set_option("hds-live-edge", args.hds_live_edge)
if args.hls_live_edge:
streamlink.set_option("hls-live-edge", args.hls_live_edge)
if args.hls_playlist_reload_attempts:
streamlink.set_option("hls-playlist-reload-attempts", args.hls_playlist_reload_attempts)
if args.hls_playlist_reload_time:
streamlink.set_option("hls-playlist-reload-time", args.hls_playlist_reload_time)
if args.hls_segment_ignore_names:
streamlink.set_option("hls-segment-ignore-names", args.hls_segment_ignore_names)
if args.hls_segment_key_uri:
streamlink.set_option("hls-segment-key-uri", args.hls_segment_key_uri)
if args.hls_audio_select:
streamlink.set_option("hls-audio-select", args.hls_audio_select)
if args.hls_start_offset:
streamlink.set_option("hls-start-offset", args.hls_start_offset)
if args.hls_duration:
streamlink.set_option("hls-duration", args.hls_duration)
if args.hls_live_restart:
streamlink.set_option("hls-live-restart", args.hls_live_restart)
if args.rtmp_rtmpdump:
streamlink.set_option("rtmp-rtmpdump", args.rtmp_rtmpdump)
elif args.rtmpdump:
streamlink.set_option("rtmp-rtmpdump", args.rtmpdump)
if args.rtmp_proxy:
streamlink.set_option("rtmp-proxy", args.rtmp_proxy)
# deprecated
if args.hds_segment_attempts:
streamlink.set_option("hds-segment-attempts", args.hds_segment_attempts)
if args.hds_segment_threads:
streamlink.set_option("hds-segment-threads", args.hds_segment_threads)
if args.hds_segment_timeout:
streamlink.set_option("hds-segment-timeout", args.hds_segment_timeout)
if args.hds_timeout:
streamlink.set_option("hds-timeout", args.hds_timeout)
if args.hls_segment_attempts:
streamlink.set_option("hls-segment-attempts", args.hls_segment_attempts)
if args.hls_segment_threads:
streamlink.set_option("hls-segment-threads", args.hls_segment_threads)
if args.hls_segment_timeout:
streamlink.set_option("hls-segment-timeout", args.hls_segment_timeout)
if args.hls_timeout:
streamlink.set_option("hls-timeout", args.hls_timeout)
if args.http_stream_timeout:
streamlink.set_option("http-stream-timeout", args.http_stream_timeout)
if args.rtmp_timeout:
streamlink.set_option("rtmp-timeout", args.rtmp_timeout)
# generic stream- arguments take precedence over deprecated stream-type arguments
if args.stream_segment_attempts:
streamlink.set_option("stream-segment-attempts", args.stream_segment_attempts)
if args.stream_segment_threads:
streamlink.set_option("stream-segment-threads", args.stream_segment_threads)
if args.stream_segment_timeout:
streamlink.set_option("stream-segment-timeout", args.stream_segment_timeout)
if args.stream_timeout:
streamlink.set_option("stream-timeout", args.stream_timeout)
if args.ffmpeg_ffmpeg:
streamlink.set_option("ffmpeg-ffmpeg", args.ffmpeg_ffmpeg)
if args.ffmpeg_verbose:
streamlink.set_option("ffmpeg-verbose", args.ffmpeg_verbose)
if args.ffmpeg_verbose_path:
streamlink.set_option("ffmpeg-verbose-path", args.ffmpeg_verbose_path)
if args.ffmpeg_fout:
streamlink.set_option("ffmpeg-fout", args.ffmpeg_fout)
if args.ffmpeg_video_transcode:
streamlink.set_option("ffmpeg-video-transcode", args.ffmpeg_video_transcode)
if args.ffmpeg_audio_transcode:
streamlink.set_option("ffmpeg-audio-transcode", args.ffmpeg_audio_transcode)
if args.ffmpeg_copyts:
streamlink.set_option("ffmpeg-copyts", args.ffmpeg_copyts)
if args.ffmpeg_start_at_zero:
streamlink.set_option("ffmpeg-start-at-zero", args.ffmpeg_start_at_zero)
streamlink.set_option("subprocess-errorlog", args.subprocess_errorlog)
streamlink.set_option("subprocess-errorlog-path", args.subprocess_errorlog_path)
streamlink.set_option("locale", args.locale)
def setup_plugin_args(session, parser):
"""Sets Streamlink plugin options."""
plugin_args = parser.add_argument_group("Plugin options")
for pname, plugin in session.plugins.items():
defaults = {}
group = plugin_args.add_argument_group(pname.capitalize())
for parg in plugin.arguments:
if not parg.is_global:
group.add_argument(parg.argument_name(pname), **parg.options)
defaults[parg.dest] = parg.default
else:
pargdest = parg.dest
for action in parser._actions:
# find matching global argument
if pargdest != action.dest:
continue
defaults[pargdest] = action.default
# add plugin to global argument
plugins = getattr(action, "plugins", [])
plugins.append(pname)
setattr(action, "plugins", plugins)
plugin.options = PluginOptions(defaults)
def setup_plugin_options(session, plugin):
"""Sets Streamlink plugin options."""
pname = plugin.module
required = OrderedDict({})
for parg in plugin.arguments:
if parg.options.get("help") == argparse.SUPPRESS:
continue
value = getattr(args, parg.dest if parg.is_global else parg.namespace_dest(pname))
session.set_plugin_option(pname, parg.dest, value)
if not parg.is_global:
if parg.required:
required[parg.name] = parg
# if the value is set, check to see if any of the required arguments are not set
if parg.required or value:
try:
for rparg in plugin.arguments.requires(parg.name):
required[rparg.name] = rparg
except RuntimeError:
log.error(f"{pname} plugin has a configuration error and the arguments cannot be parsed")
break
if required:
for req in required.values():
if not session.get_plugin_option(pname, req.dest):
prompt = f"{req.prompt or f'Enter {pname} {req.name}'}: "
session.set_plugin_option(
pname,
req.dest,
console.askpass(prompt) if req.sensitive else console.ask(prompt)
)
def log_current_versions():
"""Show current installed versions"""
if not logger.root.isEnabledFor(logging.DEBUG):
return
# macOS
if sys.platform == "darwin":
os_version = f"macOS {platform.mac_ver()[0]}"
# Windows
elif sys.platform == "win32":
os_version = f"{platform.system()} {platform.release()}"
# Linux / other
else:
os_version = platform.platform()
log.debug(f"OS: {os_version}")
log.debug(f"Python: {platform.python_version()}")
log.debug(f"Streamlink: {streamlink_version}")
log.debug(f"Requests({requests.__version__}), "
f"Socks({socks_version}), "
f"Websocket({websocket_version})")
| 33.999102 | 122 | 0.640258 |
07b8d02790ae07e8540167a649afc0cab32e02e9 | 16,807 | py | Python | dbaccesslibUserMailInfo.py | Koushik-ks/FlaskAPP | 6f1bd98450bc8f33c3896aa7ec690c51dc414d19 | [
"MIT"
] | null | null | null | dbaccesslibUserMailInfo.py | Koushik-ks/FlaskAPP | 6f1bd98450bc8f33c3896aa7ec690c51dc414d19 | [
"MIT"
] | null | null | null | dbaccesslibUserMailInfo.py | Koushik-ks/FlaskAPP | 6f1bd98450bc8f33c3896aa7ec690c51dc414d19 | [
"MIT"
] | 1 | 2019-11-08T06:49:57.000Z | 2019-11-08T06:49:57.000Z | from io import BytesIO
from io import StringIO
import json
from bson.dbref import DBRef
import datetime
from bson import json_util
import logging
import base64
jsonCode ={
"building":{
"Essae Vaishnavi Solitaire": {
"id": "B1",
"division": {
"SS": {
"id": "D1",
"dept":{
"Semicon":{
"id":"DEP1",
"floor":{"0":"0",
"1":"1",
"2":"2",
"3":"3",
"4":"4",
"5":"5",
"6":"6"
}
},
"RND":{
"id":"DEP2",
"floor":{"0":"0",
"1":"1",
"2":"2",
"3":"3",
"4":"4",
"5":"5",
"6":"6"
}
},
"Mobile":{
"id":"DEP3",
"floor":{"0":"0",
"1":"1",
"2":"2",
"3":"3",
"4":"4",
"5":"5",
"6":"6"
}
}
}
},
"TTEC": {
"id": "D2",
"dept":{
"TTEC-AL":{
"id":"DEP1",
"floor":{"0":"0",
"1":"1",
"2":"2",
"3":"3",
"4":"4",
"5":"5",
"6":"6"
}
},
"TTEC-SL":{
"id":"DEP2",
"floor":{"0":"0",
"1":"1",
"2":"2",
"3":"3",
"4":"4",
"5":"5",
"6":"6"
}
},
"TTEC-DL":{
"id":"DEP3",
"floor":{"0":"0",
"1":"1",
"2":"2",
"3":"3",
"4":"4",
"5":"5",
"6":"6"
}
},
"TTEC-CI":{
"id":"DEP4",
"floor":{"0":"0",
"1":"1",
"2":"2",
"3":"3",
"4":"4",
"5":"5",
"6":"6"
}
}
}
}
}
},
"Fortune Summit": {
"id": "B2",
"division": {
"TMSC": {
"id": "D1",
"dept":{
"Medical":{
"id":"DEP1",
"floor":{"0":"0",
"1":"1",
"2":"2",
"3":"3",
"4":"4",
"5":"5",
"6":"6"
}
},
"RND":{
"id":"DEP2",
"floor":{"0":"0",
"1":"1",
"2":"2",
"3":"3",
"4":"4",
"5":"5",
"6":"6"
}
},
"Imaging":{
"id":"DEP3",
"floor":{"0":"0",
"1":"1",
"2":"2",
"3":"3",
"4":"4",
"5":"5",
"6":"6"
}
}
}
},
"tmc": {
"id": "D2",
"dept":{
"tmc-1":{
"id":"DEP1",
"floor":{"0":"0",
"1":"1",
"2":"2",
"3":"3",
"4":"4",
"5":"5",
"6":"6"
}
},
"tmc-2":{
"id":"DEP2",
"floor":{"0":"0",
"1":"1",
"2":"2",
"3":"3",
"4":"4",
"5":"5",
"6":"6"
}
},
"tmc-3":{
"id":"DEP3",
"floor":{"0":"0",
"1":"1",
"2":"2",
"3":"3",
"4":"4",
"5":"5",
"6":"6"
}
}
}
}
}
}
}
}
#Create and configure logger
logging.basicConfig(filename="server.log",
format='%(asctime)s %(message)s',
filemode='a')
#Creating an object
logger=logging.getLogger()
#Setting the threshold of logger to DEBUG
logger.setLevel(logging.DEBUG)
import pymongo
uri = "mongodb://218ffa09-0ee0-4-231-b9ee:zTV4cwDG0vM49J2GFsw72JzwOD79Bv3dPU8fbVLb5pbh3p0CmTBYcvhrFKTjtl1s7hgYSfRbMOrsVve6hfvhag==@218ffa09-0ee0-4-231-b9ee.documents.azure.com:10255/?ssl=true&replicaSet=globaldb"
client = pymongo.MongoClient(uri)
print("Obtained the client")
mydb = client.test
#Clear DB only for testing
| 42.335013 | 242 | 0.404712 |
07b8f248ebba127a7ba553594c485e647090e69f | 3,489 | py | Python | src/test/dags/bq_to_cm_dag_test.py | google/cc4d | 206543832368f96bac7f55c0de93c96e32127779 | [
"Apache-2.0"
] | null | null | null | src/test/dags/bq_to_cm_dag_test.py | google/cc4d | 206543832368f96bac7f55c0de93c96e32127779 | [
"Apache-2.0"
] | null | null | null | src/test/dags/bq_to_cm_dag_test.py | google/cc4d | 206543832368f96bac7f55c0de93c96e32127779 | [
"Apache-2.0"
] | null | null | null | # python3
# coding=utf-8
# Copyright 2020 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests for dags.bq_to_cm_dag."""
import unittest
from airflow.contrib.hooks import bigquery_hook
from airflow.models import baseoperator
from airflow.models import dag
from airflow.models import variable
import mock
from gps_building_blocks.cloud.utils import cloud_auth
from dags import bq_to_cm_dag
from plugins.pipeline_plugins.hooks import monitoring_hook
_DAG_NAME = bq_to_cm_dag._DAG_NAME
AIRFLOW_VARIABLES = {
'dag_name': _DAG_NAME,
f'{_DAG_NAME}_schedule': '@once',
f'{_DAG_NAME}_retries': 0,
f'{_DAG_NAME}_retry_delay': 3,
f'{_DAG_NAME}_is_retry': True,
f'{_DAG_NAME}_is_run': True,
f'{_DAG_NAME}_enable_run_report': False,
f'{_DAG_NAME}_enable_monitoring': True,
f'{_DAG_NAME}_enable_monitoring_cleanup': False,
'monitoring_data_days_to_live': 50,
'monitoring_dataset': 'test_monitoring_dataset',
'monitoring_table': 'test_monitoring_table',
'monitoring_bq_conn_id': 'test_monitoring_conn',
'bq_dataset_id': 'test_dataset',
'bq_table_id': 'test_table',
'cm_profile_id': 'cm_profile_id',
'cm_service_account': 'cm_service_account'
}
if __name__ == '__main__':
unittest.main()
| 35.602041 | 74 | 0.755804 |
07b971c0c6fde3e7ed6901642724f170bca1dffb | 10,781 | py | Python | talentmap_api/common/management/commands/load_xml.py | burgwyn/State-TalentMAP-API | 1f4f3659c5743ebfd558cd87af381f5460f284b3 | [
"CC0-1.0"
] | 5 | 2018-08-09T18:51:12.000Z | 2021-11-08T10:28:17.000Z | talentmap_api/common/management/commands/load_xml.py | burgwyn/State-TalentMAP-API | 1f4f3659c5743ebfd558cd87af381f5460f284b3 | [
"CC0-1.0"
] | 232 | 2017-06-16T02:09:54.000Z | 2018-05-10T16:15:48.000Z | talentmap_api/common/management/commands/load_xml.py | burgwyn/State-TalentMAP-API | 1f4f3659c5743ebfd558cd87af381f5460f284b3 | [
"CC0-1.0"
] | 4 | 2018-06-13T14:49:27.000Z | 2021-06-30T22:29:15.000Z | from django.core.management.base import BaseCommand
import logging
import re
from talentmap_api.common.xml_helpers import XMLloader, strip_extra_spaces, parse_boolean, parse_date, get_nested_tag
from talentmap_api.language.models import Language, Proficiency
from talentmap_api.position.models import Grade, Skill, Position, CapsuleDescription, SkillCone
from talentmap_api.organization.models import Organization, Post, TourOfDuty, Location, Country
| 36.422297 | 142 | 0.66914 |
07b9b8864e1cb2b18a6326e38faad88d4012991a | 2,581 | py | Python | gluon/tests/test_recfile.py | oscarfonts/web2py | a18e0e489fe7a770c62fca510a4299886b0a9bb7 | [
"BSD-3-Clause"
] | null | null | null | gluon/tests/test_recfile.py | oscarfonts/web2py | a18e0e489fe7a770c62fca510a4299886b0a9bb7 | [
"BSD-3-Clause"
] | null | null | null | gluon/tests/test_recfile.py | oscarfonts/web2py | a18e0e489fe7a770c62fca510a4299886b0a9bb7 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Unit tests for gluon.recfile
"""
import unittest
import os
import shutil
import uuid
from .fix_path import fix_sys_path
fix_sys_path(__file__)
from gluon import recfile
if __name__ == '__main__':
unittest.main()
| 34.413333 | 92 | 0.593181 |
07ba0eee7b3f5dcbd7cf03e65b5f80e0ede665d0 | 1,022 | py | Python | configLambdas.py | cfrome77/liquid-stats | 7a4d751dea215c94b650beb154a90abce7e1592d | [
"MIT"
] | 4 | 2020-06-21T14:43:40.000Z | 2021-12-29T17:02:18.000Z | configLambdas.py | cfrome77/liquid-stats | 7a4d751dea215c94b650beb154a90abce7e1592d | [
"MIT"
] | 21 | 2018-09-18T18:42:53.000Z | 2022-01-04T05:55:12.000Z | configLambdas.py | cfrome77/liquid-stats | 7a4d751dea215c94b650beb154a90abce7e1592d | [
"MIT"
] | null | null | null | import json
import os
import subprocess
from dotenv import load_dotenv
from subprocess import check_output, Popen, PIPE
load_dotenv()
# Accessing variables.
CLIENT_ID = os.environ.get('CLIENT_ID')
CLIENT_SECRET = os.environ.get('CLIENT_SECRET')
USERNAME = os.environ.get('USERNAME')
BUCKET_NAME = os.environ.get('BUCKET_NAME')
lambda_functions = get_lambda_functions()
for lambda_function in lambda_functions:
function_name = lambda_function['FunctionName']
subprocess.run([
"aws", "lambda", "update-function-configuration",
"--function-name", f"{function_name}", "--environment",
f"Variables={{CLIENT_ID={CLIENT_ID},CLIENT_SECRET={CLIENT_SECRET},USERNAME={USERNAME},BUCKET_NAME={BUCKET_NAME}}}"
])
| 26.894737 | 122 | 0.714286 |
07baaefdacf7ace2738a920e7e9c1d5671078a05 | 13,520 | py | Python | microbitAnim.py | SaitoYutaka/microbitAnim | 6630d5cdb3ae867d3467a035a1c14358944c0367 | [
"MIT"
] | null | null | null | microbitAnim.py | SaitoYutaka/microbitAnim | 6630d5cdb3ae867d3467a035a1c14358944c0367 | [
"MIT"
] | null | null | null | microbitAnim.py | SaitoYutaka/microbitAnim | 6630d5cdb3ae867d3467a035a1c14358944c0367 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
###########################################################################
## Python code generated with wxFormBuilder (version Aug 8 2018)
## http://www.wxformbuilder.org/
##
## PLEASE DO *NOT* EDIT THIS FILE!
###########################################################################
import wx
import wx.xrc
###########################################################################
## Class MyFrame1
###########################################################################
| 44.473684 | 181 | 0.598669 |
07babdb06c676058838f65ac7fea336d215d962b | 339 | py | Python | src/dependencies/contrib/celery.py | nicoddemus/dependencies | 74180e2c6098d8ad03bc53c5703bdf8dc61c3ed9 | [
"BSD-2-Clause"
] | null | null | null | src/dependencies/contrib/celery.py | nicoddemus/dependencies | 74180e2c6098d8ad03bc53c5703bdf8dc61c3ed9 | [
"BSD-2-Clause"
] | null | null | null | src/dependencies/contrib/celery.py | nicoddemus/dependencies | 74180e2c6098d8ad03bc53c5703bdf8dc61c3ed9 | [
"BSD-2-Clause"
] | null | null | null | """
dependencies.contrib.celery
---------------------------
This module implements injectable Celery task.
:copyright: (c) 2016-2020 by dry-python team.
:license: BSD, see LICENSE for more details.
"""
from _dependencies.contrib.celery import shared_task
from _dependencies.contrib.celery import task
__all__ = ["shared_task", "task"]
| 22.6 | 52 | 0.710914 |
07bb317b5c0941f28a4da7f31413b20f4a8bda28 | 7,838 | py | Python | yolo3/utils.py | gaxu/keras-yolo3 | 7f6be0fb9a8583401246bfe65d2df2ee40777d72 | [
"MIT"
] | null | null | null | yolo3/utils.py | gaxu/keras-yolo3 | 7f6be0fb9a8583401246bfe65d2df2ee40777d72 | [
"MIT"
] | null | null | null | yolo3/utils.py | gaxu/keras-yolo3 | 7f6be0fb9a8583401246bfe65d2df2ee40777d72 | [
"MIT"
] | 4 | 2021-02-25T08:21:15.000Z | 2021-02-25T08:56:39.000Z | """Miscellaneous utility functions."""
from functools import reduce
from PIL import Image
import numpy as np
from matplotlib.colors import rgb_to_hsv, hsv_to_rgb
def compose(*funcs):
"""Compose arbitrarily many functions, evaluated left to right.
Reference: https://mathieularose.com/function-composition-in-python/
"""
# return lambda x: reduce(lambda v, f: f(v), funcs, x)
if funcs:
return reduce(lambda f, g: lambda *a, **kw: g(f(*a, **kw)), funcs)
else:
raise ValueError('Composition of empty sequence not supported.')
def letterbox_image(image, size):
'''resize image with unchanged aspect ratio using padding'''
iw, ih = image.size
w, h = size
scale = min(w/iw, h/ih)
nw = int(iw*scale)
nh = int(ih*scale)
image = image.resize((nw,nh), Image.BICUBIC)
new_image = Image.new('RGB', size, (128,128,128))
new_image.paste(image, ((w-nw)//2, (h-nh)//2))
return new_image
def get_random_data(annotation_line, input_shape, random=True, max_boxes=20, jitter=.3, hue=.1, sat=1.5, val=1.5, proc_img=True):
'''random preprocessing for real-time data augmentation'''
line = annotation_line.split()
image = Image.open(line[0])
iw, ih = image.size
h, w = input_shape
box = np.array([np.array(list(map(int,box.split(',')))) for box in line[1:]])
if not random:
# resize image
scale = min(w/iw, h/ih)
nw = int(iw*scale)
nh = int(ih*scale)
dx = (w-nw)//2
dy = (h-nh)//2
image_data=0
if proc_img:
image = image.resize((nw,nh), Image.BICUBIC)
new_image = Image.new('RGB', (w,h), (128,128,128))
new_image.paste(image, (dx, dy))
image_data = np.array(new_image)/255.
# correct boxes
box_data = np.zeros((max_boxes,5))
if len(box)>0:
np.random.shuffle(box)
if len(box)>max_boxes: box = box[:max_boxes]
box[:, [0,2]] = box[:, [0,2]]*scale + dx
box[:, [1,3]] = box[:, [1,3]]*scale + dy
box_data[:len(box)] = box
return image_data, box_data
# resize image
new_ar = w/h * rand(1-jitter,1+jitter)/rand(1-jitter,1+jitter)
scale = rand(.25, 2)
if new_ar < 1:
nh = int(scale*h)
nw = int(nh*new_ar)
else:
nw = int(scale*w)
nh = int(nw/new_ar)
image = image.resize((nw,nh), Image.BICUBIC)
# place image
dx = int(rand(0, w-nw))
dy = int(rand(0, h-nh))
new_image = Image.new('RGB', (w,h), (128,128,128))
new_image.paste(image, (dx, dy))
image = new_image
# flip image or not
flip = rand()<.5
if flip: image = image.transpose(Image.FLIP_LEFT_RIGHT)
# distort image
hue = rand(-hue, hue)
sat = rand(1, sat) if rand()<.5 else 1/rand(1, sat)
val = rand(1, val) if rand()<.5 else 1/rand(1, val)
x = rgb_to_hsv(np.array(image)/255.)
x[..., 0] += hue
x[..., 0][x[..., 0]>1] -= 1
x[..., 0][x[..., 0]<0] += 1
x[..., 1] *= sat
x[..., 2] *= val
x[x>1] = 1
x[x<0] = 0
image_data = hsv_to_rgb(x) # numpy array, 0 to 1
# correct boxes
box_data = np.zeros((max_boxes,5))
if len(box)>0:
np.random.shuffle(box)
box[:, [0,2]] = box[:, [0,2]]*nw/iw + dx
box[:, [1,3]] = box[:, [1,3]]*nh/ih + dy
if flip: box[:, [0,2]] = w - box[:, [2,0]]
box[:, 0:2][box[:, 0:2]<0] = 0
box[:, 2][box[:, 2]>w] = w
box[:, 3][box[:, 3]>h] = h
box_w = box[:, 2] - box[:, 0]
box_h = box[:, 3] - box[:, 1]
box = box[np.logical_and(box_w>1, box_h>1)] # discard invalid box
if len(box)>max_boxes: box = box[:max_boxes]
box_data[:len(box)] = box
return image_data, box_data
def get_random_data2(annotation_line, input_shape, random=True, max_boxes=20, jitter=.3, hue=.1, sat=1.5, val=1.5, proc_img=True):
'''random preprocessing for real-time data augmentation'''
line = annotation_line.split()
image = Image.open(line[0])
w, h = image.size #13 14
dx, dy = input_shape
box = np.array([np.array(list(map(int,box.split(',')))) for box in line[1:]])
x_min = w
x_max = 0
y_min = h
y_max = 0
for bbox in box:
x_min = min(x_min, bbox[0])
y_min = min(y_min, bbox[1])
x_max = max(x_max, bbox[2])
y_max = max(y_max, bbox[3])
name = bbox[4]
#
d_to_left = x_min
d_to_right = w - x_max
d_to_top = y_min
d_to_bottom = h - y_max
#
crop_x_min = int(x_min - rand(0, d_to_left))
crop_y_min = int(y_min - rand(0, d_to_top))
crop_x_max = int(x_max + rand(0, d_to_right))
crop_y_max = int(y_max + rand(0, d_to_bottom))
#
crop_x_min = max(0, crop_x_min)
crop_y_min = max(0, crop_y_min)
crop_x_max = min(w, crop_x_max)
crop_y_max = min(h, crop_y_max)
cropped = image.crop((crop_x_min, crop_y_min, crop_x_max, crop_y_max)) # (left, upper, right, lower)
new_image = Image.new('RGB', (w,h), (128,128,128))
new_image.paste(cropped, (dx, dy))
image_data = np.array(new_image)/255.
box_data = np.zeros((max_boxes,5))
if len(box)>0:
np.random.shuffle(box)
if len(box)>max_boxes: box = box[:max_boxes]
box[:,0] = box[:,0]-crop_y_min
box[:,1] = box[:,1]-crop_y_min
box[:,2] = box[:,2]-crop_x_min
box[:,3] = box[:,3]-crop_y_min
box_data[:len(box)] = box
return image_data, box_data
| 32.522822 | 130 | 0.578719 |
07bd6b46f25dcc6cd80de3063def3b5b81539dae | 161 | py | Python | text_classification/config.py | MardanovTimur/kaggle | 62392863a07fcc5de9821c28cf9c6dbbf39ced59 | [
"MIT"
] | null | null | null | text_classification/config.py | MardanovTimur/kaggle | 62392863a07fcc5de9821c28cf9c6dbbf39ced59 | [
"MIT"
] | null | null | null | text_classification/config.py | MardanovTimur/kaggle | 62392863a07fcc5de9821c28cf9c6dbbf39ced59 | [
"MIT"
] | null | null | null | import logging
import pathlib
logging.basicConfig(level=logging.INFO)
# Dirs
ROOT_DIR = pathlib.Path(__file__).parent.absolute()
DUMP_DIR = ROOT_DIR / 'dumps'
| 17.888889 | 51 | 0.782609 |
07bd8ff47d8f5245f9a21b92c33b949fce1127a8 | 8,482 | py | Python | sportsreference/ncaaf/rankings.py | JosephDErwin/sportsreference | f026366bec91fdf4bebef48e3a4bfd7c5bfab4bd | [
"MIT"
] | null | null | null | sportsreference/ncaaf/rankings.py | JosephDErwin/sportsreference | f026366bec91fdf4bebef48e3a4bfd7c5bfab4bd | [
"MIT"
] | null | null | null | sportsreference/ncaaf/rankings.py | JosephDErwin/sportsreference | f026366bec91fdf4bebef48e3a4bfd7c5bfab4bd | [
"MIT"
] | 1 | 2020-07-08T16:05:25.000Z | 2020-07-08T16:05:25.000Z | import re
from pyquery import PyQuery as pq
from .. import utils
from .constants import RANKINGS_SCHEME, RANKINGS_URL
from six.moves.urllib.error import HTTPError
| 39.821596 | 79 | 0.549399 |
07bd958d061b56e11538171ee991b3269000d33d | 5,937 | py | Python | ding/hpc_rl/wrapper.py | davide97l/DI-engine | d48c93bcd5c07c29f2ce4ac1b7756b8bc255c423 | [
"Apache-2.0"
] | 1 | 2022-03-21T16:15:39.000Z | 2022-03-21T16:15:39.000Z | ding/hpc_rl/wrapper.py | jiaruonan/DI-engine | 268d77db3cb54401b2cfc83e2bc3ec87c31e7b83 | [
"Apache-2.0"
] | null | null | null | ding/hpc_rl/wrapper.py | jiaruonan/DI-engine | 268d77db3cb54401b2cfc83e2bc3ec87c31e7b83 | [
"Apache-2.0"
] | null | null | null | import importlib
from ditk import logging
from collections import OrderedDict
from functools import wraps
import ding
'''
Overview:
`hpc_wrapper` is the wrapper for functions which are supported by hpc. If a function is wrapped by it, we will
search for its hpc type and return the function implemented by hpc.
We will use the following code as a sample to introduce `hpc_wrapper`:
```
@hpc_wrapper(shape_fn=shape_fn_dntd, namedtuple_data=True, include_args=[0,1,2,3],
include_kwargs=['data', 'gamma', 'v_min', 'v_max'], is_cls_method=False)
def dist_nstep_td_error(
data: namedtuple,
gamma: float,
v_min: float,
v_max: float,
n_atom: int,
nstep: int = 1,
) -> torch.Tensor:
...
```
Parameters:
- shape_fn (:obj:`function`): a function which return the shape needed by hpc function. In fact, it returns
all args that the hpc function needs.
- nametuple_data (:obj:`bool`): If True, when hpc function is called, it will be called as hpc_function(*nametuple).
If False, nametuple data will remain its `nametuple` type.
- include_args (:obj:`list`): a list of index of the args need to be set in hpc function. As shown in the sample,
include_args=[0,1,2,3], which means `data`, `gamma`, `v_min` and `v_max` will be set in hpc function.
- include_kwargs (:obj:`list`): a list of key of the kwargs need to be set in hpc function. As shown in the sample,
include_kwargs=['data', 'gamma', 'v_min', 'v_max'], which means `data`, `gamma`, `v_min` and `v_max` will be
set in hpc function.
- is_cls_method (:obj:`bool`): If True, it means the function we wrap is a method of a class. `self` will be put
into args. We will get rid of `self` in args. Besides, we will use its classname as its fn_name.
If False, it means the function is a simple method.
Q&A:
- Q: Is `include_args` and `include_kwargs` need to be set at the same time?
- A: Yes. `include_args` and `include_kwargs` can deal with all type of input, such as (data, gamma, v_min=v_min,
v_max=v_max) and (data, gamma, v_min, v_max).
- Q: What is `hpc_fns`?
- A: Here we show a normal `hpc_fns`:
```
hpc_fns = {
'fn_name1': {
'runtime_name1': hpc_fn1,
'runtime_name2': hpc_fn2,
...
},
...
}
```
Besides, `per_fn_limit` means the max length of `hpc_fns[fn_name]`. When new function comes, the oldest
function will be popped from `hpc_fns[fn_name]`.
'''
hpc_fns = {}
per_fn_limit = 3
| 44.30597 | 120 | 0.578912 |
07be5334fc353ee2aa3b8e027797471255271069 | 102 | py | Python | CodeWars/2016/NumberOfOccurrences-7k.py | JLJTECH/TutorialTesting | f2dbbd49a86b3b086d0fc156ac3369fb74727f86 | [
"MIT"
] | null | null | null | CodeWars/2016/NumberOfOccurrences-7k.py | JLJTECH/TutorialTesting | f2dbbd49a86b3b086d0fc156ac3369fb74727f86 | [
"MIT"
] | null | null | null | CodeWars/2016/NumberOfOccurrences-7k.py | JLJTECH/TutorialTesting | f2dbbd49a86b3b086d0fc156ac3369fb74727f86 | [
"MIT"
] | null | null | null | #Return the count of int(s) in passed array. | 34 | 45 | 0.72549 |
07bf6145f03382a8bd2f1aee40dd398c31e7d6c2 | 10,343 | py | Python | telethon_generator/parsers/tlobject.py | islam-200555/Telethon | 85103bcf6de8024c902ede98f0b9bf0f7f47a0aa | [
"MIT"
] | 2 | 2021-01-06T12:49:49.000Z | 2021-04-23T16:32:13.000Z | telethon_generator/parsers/tlobject.py | islam-200555/Telethon | 85103bcf6de8024c902ede98f0b9bf0f7f47a0aa | [
"MIT"
] | null | null | null | telethon_generator/parsers/tlobject.py | islam-200555/Telethon | 85103bcf6de8024c902ede98f0b9bf0f7f47a0aa | [
"MIT"
] | null | null | null | import re
from zlib import crc32
from ..utils import snake_to_camel_case
CORE_TYPES = (
0xbc799737, # boolFalse#bc799737 = Bool;
0x997275b5, # boolTrue#997275b5 = Bool;
0x3fedd339, # true#3fedd339 = True;
0x1cb5c415, # vector#1cb5c415 {t:Type} # [ t ] = Vector t;
)
# https://github.com/telegramdesktop/tdesktop/blob/4bf66cb6e93f3965b40084771b595e93d0b11bcd/Telegram/SourceFiles/codegen/scheme/codegen_scheme.py#L57-L62
WHITELISTED_MISMATCHING_IDS = {
# 0 represents any layer
0: {'ipPortSecret', 'accessPointRule', 'help.configSimple'},
77: {'channel'},
78: {'channel'}
}
def _from_line(line, is_function, layer):
match = re.match(
r'^([\w.]+)' # 'name'
r'(?:#([0-9a-fA-F]+))?' # '#optionalcode'
r'(?:\s{?\w+:[\w\d<>#.?!]+}?)*' # '{args:.0?type}'
r'\s=\s' # ' = '
r'([\w\d<>#.?]+);$', # '<result.type>;'
line
)
if match is None:
# Probably "vector#1cb5c415 {t:Type} # [ t ] = Vector t;"
raise ValueError('Cannot parse TLObject {}'.format(line))
args_match = re.findall(
r'({)?'
r'(\w+)'
r':'
r'([\w\d<>#.?!]+)'
r'}?',
line
)
return TLObject(
fullname=match.group(1),
object_id=match.group(2),
result=match.group(3),
is_function=is_function,
layer=layer,
args=[TLArg(name, arg_type, brace != '')
for brace, name, arg_type in args_match]
)
def parse_tl(file_path, layer, ignore_core=False):
"""This method yields TLObjects from a given .tl file."""
with open(file_path, encoding='utf-8') as file:
is_function = False
for line in file:
comment_index = line.find('//')
if comment_index != -1:
line = line[:comment_index]
line = line.strip()
if not line:
continue
match = re.match('---(\w+)---', line)
if match:
following_types = match.group(1)
is_function = following_types == 'functions'
continue
try:
result = _from_line(line, is_function, layer=layer)
if not ignore_core or result.id not in CORE_TYPES:
yield result
except ValueError as e:
if 'vector#1cb5c415' not in str(e):
raise
def find_layer(file_path):
"""Finds the layer used on the specified scheme.tl file."""
layer_regex = re.compile(r'^//\s*LAYER\s*(\d+)$')
with open(file_path, encoding='utf-8') as file:
for line in file:
match = layer_regex.match(line)
if match:
return int(match.group(1))
| 35.788927 | 153 | 0.541332 |
07c02ac3abe7a10db3f40c2457c57bca98b41742 | 2,469 | bzl | Python | dotnet/private/actions/resx_core.bzl | purkhusid/rules_dotnet | 934e62d65ed3657be20b2ae3a63e032a2de9ff84 | [
"Apache-2.0"
] | 143 | 2016-03-15T20:37:54.000Z | 2022-02-25T12:30:08.000Z | dotnet/private/actions/resx_core.bzl | purkhusid/rules_dotnet | 934e62d65ed3657be20b2ae3a63e032a2de9ff84 | [
"Apache-2.0"
] | 176 | 2016-03-17T13:28:50.000Z | 2022-03-30T21:19:24.000Z | dotnet/private/actions/resx_core.bzl | purkhusid/rules_dotnet | 934e62d65ed3657be20b2ae3a63e032a2de9ff84 | [
"Apache-2.0"
] | 79 | 2016-03-16T11:34:56.000Z | 2022-02-04T10:54:00.000Z | "Actions for compiling resx files"
load(
"@io_bazel_rules_dotnet//dotnet/private:providers.bzl",
"DotnetResourceInfo",
)
def emit_resx_core(
dotnet,
name = "",
src = None,
identifier = None,
out = None,
customresgen = None):
"""The function adds an action that compiles a single .resx file into .resources file.
Returns [DotnetResourceInfo](api.md#dotnetresourceinfo).
Args:
dotnet: [DotnetContextInfo](api.md#dotnetcontextinfo).
name: name of the file to generate.
src: The .resx source file that is transformed into .resources file. Only `.resx` files are permitted.
identifier: The logical name for the resource; the name that is used to load the resource. The default is the basename of the file name (no subfolder).
out: An alternative name of the output file (if name should not be used).
customresgen: custom resgen program to use.
Returns:
DotnetResourceInfo: [DotnetResourceInfo](api.md#dotnetresourceinfo).
"""
if name == "" and out == None:
fail("either name or out must be set")
if not out:
result = dotnet.actions.declare_file(name + ".resources")
else:
result = dotnet.actions.declare_file(out)
args = _make_runner_arglist(dotnet, src, result, customresgen.files_to_run.executable.path)
# We use the command to extrace shell path and force runfiles creation
resolve = dotnet._ctx.resolve_tools(tools = [customresgen])
inputs = src.files.to_list() if type(src) == "Target" else [src]
dotnet.actions.run(
inputs = inputs + resolve[0].to_list(),
tools = customresgen.default_runfiles.files,
outputs = [result],
executable = customresgen.files_to_run,
arguments = [args],
env = {"RUNFILES_MANIFEST_FILE": customresgen.files_to_run.runfiles_manifest.path},
mnemonic = "CoreResxCompile",
input_manifests = resolve[1],
progress_message = (
"Compiling resoources" + dotnet.label.package + ":" + dotnet.label.name
),
)
return DotnetResourceInfo(
name = name,
result = result,
identifier = identifier,
)
| 32.92 | 159 | 0.651681 |
07c0bb5052572bdefa7514e11ef8a10e0bb0427e | 1,035 | py | Python | test/jit/test_modules.py | xiaohanhuang/pytorch | a31aea8eaa99a5ff72b5d002c206cd68d5467a5e | [
"Intel"
] | 183 | 2018-04-06T21:10:36.000Z | 2022-03-30T15:05:24.000Z | test/jit/test_modules.py | xiaohanhuang/pytorch | a31aea8eaa99a5ff72b5d002c206cd68d5467a5e | [
"Intel"
] | 818 | 2020-02-07T02:36:44.000Z | 2022-03-31T23:49:44.000Z | test/jit/test_modules.py | xiaohanhuang/pytorch | a31aea8eaa99a5ff72b5d002c206cd68d5467a5e | [
"Intel"
] | 58 | 2018-06-05T16:40:18.000Z | 2022-03-16T15:37:29.000Z | # Owner(s): ["oncall: jit"]
import torch
import os
import sys
from torch.testing._internal.jit_utils import JitTestCase
# Make the helper files in test/ importable
pytorch_test_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
sys.path.append(pytorch_test_dir)
if __name__ == '__main__':
raise RuntimeError("This test file is not meant to be run directly, use:\n\n"
"\tpython test/test_jit.py TESTNAME\n\n"
"instead.")
| 30.441176 | 81 | 0.630918 |
07c0c2bb274ab76681ad18763446d5b0c976c985 | 242 | py | Python | pixelate_task_1.py | Swayamshu/Pixelate_Sample_Arena | d8e8b4614987f9302a19ec1e20a922618e67b943 | [
"MIT"
] | null | null | null | pixelate_task_1.py | Swayamshu/Pixelate_Sample_Arena | d8e8b4614987f9302a19ec1e20a922618e67b943 | [
"MIT"
] | null | null | null | pixelate_task_1.py | Swayamshu/Pixelate_Sample_Arena | d8e8b4614987f9302a19ec1e20a922618e67b943 | [
"MIT"
] | null | null | null | import gym
import pix_sample_arena
import time
import pybullet as p
import pybullet_data
import cv2
if __name__ == "__main__":
env = gym.make("pix_sample_arena-v0")
x = 0
while True:
p.stepSimulation()
time.sleep(100) | 18.615385 | 41 | 0.702479 |
07c22498468a49059683c71a90ec92358cf9e563 | 916 | py | Python | tests/test_timeparser.py | vgoehler/python-i3-battery-block | e47ce80b315d812d731df84f2a1c8e1155b2469a | [
"BSD-2-Clause"
] | null | null | null | tests/test_timeparser.py | vgoehler/python-i3-battery-block | e47ce80b315d812d731df84f2a1c8e1155b2469a | [
"BSD-2-Clause"
] | 9 | 2020-01-24T17:15:03.000Z | 2020-06-02T14:16:40.000Z | tests/test_timeparser.py | vgoehler/python-i3-battery-block | e47ce80b315d812d731df84f2a1c8e1155b2469a | [
"BSD-2-Clause"
] | null | null | null | from datetime import time
import pytest
from i3_battery_block_vgg.timeparser import __parse_time_manually
from i3_battery_block_vgg.timeparser import parse_time
| 29.548387 | 94 | 0.677948 |
07c22c6dbb3092192d2a4fddcabee0db528c9e22 | 4,720 | py | Python | frontends/PyCDE/test/polynomial.py | fyquah/circt | cee685bf12dbf27a3f2274e08cd1af6874f70baa | [
"Apache-2.0"
] | null | null | null | frontends/PyCDE/test/polynomial.py | fyquah/circt | cee685bf12dbf27a3f2274e08cd1af6874f70baa | [
"Apache-2.0"
] | null | null | null | frontends/PyCDE/test/polynomial.py | fyquah/circt | cee685bf12dbf27a3f2274e08cd1af6874f70baa | [
"Apache-2.0"
] | null | null | null | # RUN: %PYTHON% %s 2>&1 | FileCheck %s
from __future__ import annotations
import mlir
import pycde
from pycde import (Input, Output, Parameter, module, externmodule, generator,
types, dim)
from circt.dialects import comb, hw
class Coefficients:
def __init__(self, coeff):
self.coeff = coeff
poly = Polynomial()
poly.graph()
# CHECK-LABEL: digraph "top"
# CHECK: label="top";
# CHECK: [shape=record,label="{hw.constant\ni32\n\nvalue: 23 : i32}"];
poly.print()
# CHECK-LABEL: hw.module @top() -> (%y: i32)
# CHECK: [[REG0:%.+]] = "pycde.PolynomialCompute"(%c23_i32) {instanceName = "example", opNames = ["x"], parameters = {coefficients = {coeff = [62, 42, 6]}, module_name = "PolyComputeForCoeff_62_42_6", unused_parameter = true}, resultNames = ["y"]} : (i32) -> i32
# CHECK: [[REG1:%.+]] = "pycde.PolynomialCompute"([[REG0]]) {instanceName = "example2", opNames = ["x"], parameters = {coefficients = {coeff = [62, 42, 6]}, module_name = "PolyComputeForCoeff_62_42_6", unused_parameter = true}, resultNames = ["y"]} : (i32) -> i32
# CHECK: [[REG2:%.+]] = "pycde.PolynomialCompute"([[REG0]]) {instanceName = "example2", opNames = ["x"], parameters = {coefficients = {coeff = [1, 2, 3, 4, 5]}, module_name = "PolyComputeForCoeff_1_2_3_4_5", unused_parameter = true}, resultNames = ["y"]} : (i32) -> i32
# CHECK: [[REG3:%.+]] = "pycde.CoolPolynomialCompute"(%c23_i32) {coefficients = [4, 42], opNames = ["x"], parameters = {}, resultNames = ["y"]} : (i32) -> i32
# CHECK: hw.output [[REG0]] : i32
poly.generate()
poly.print()
# CHECK-LABEL: hw.module @top
# CHECK: %example.y = hw.instance "example" @PolyComputeForCoeff_62_42_6(%c23_i32) {parameters = {}} : (i32) -> i32
# CHECK: %example2.y = hw.instance "example2" @PolyComputeForCoeff_62_42_6(%example.y) {parameters = {}} : (i32) -> i32
# CHECK: %example2.y_0 = hw.instance "example2" @PolyComputeForCoeff_1_2_3_4_5(%example.y) {parameters = {}} : (i32) -> i32
# CHECK: %pycde.CoolPolynomialCompute.y = hw.instance "pycde.CoolPolynomialCompute" @supercooldevice(%c23_i32) {coefficients = [4, 42], parameters = {}} : (i32) -> i32
# CHECK-LABEL: hw.module @PolyComputeForCoeff_62_42_6(%x: i32) -> (%y: i32)
# CHECK: hw.constant 62
# CHECK: hw.constant 42
# CHECK: hw.constant 6
# CHECK-LABEL: hw.module @PolyComputeForCoeff_1_2_3_4_5(%x: i32) -> (%y: i32)
# CHECK: hw.constant 1
# CHECK: hw.constant 2
# CHECK: hw.constant 3
# CHECK: hw.constant 4
# CHECK: hw.constant 5
# CHECK-NOT: hw.module @pycde.PolynomialCompute
print("\n\n=== Verilog ===")
# CHECK-LABEL: === Verilog ===
poly.print_verilog()
# CHECK-LABEL: module PolyComputeForCoeff_62_42_6(
# CHECK: input [31:0] x,
# CHECK: output [31:0] y);
| 35.223881 | 272 | 0.63411 |
07c24587d23b16e92b579d57a83d8cb4e84073ef | 3,430 | py | Python | python/examples/service_discovery.py | davidgcameron/arc | 9813ef5f45e5089507953239de8fa2248f5ad32c | [
"Apache-2.0"
] | null | null | null | python/examples/service_discovery.py | davidgcameron/arc | 9813ef5f45e5089507953239de8fa2248f5ad32c | [
"Apache-2.0"
] | null | null | null | python/examples/service_discovery.py | davidgcameron/arc | 9813ef5f45e5089507953239de8fa2248f5ad32c | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python
import arc
import sys
import os
# wait for all the background threads to finish before we destroy the objects they may use
import atexit
# arc.Logger.getRootLogger().addDestination(arc.LogStream(sys.stderr))
# arc.Logger.getRootLogger().setThreshold(arc.DEBUG)
# run the example
example()
| 40.352941 | 129 | 0.717201 |
07c2fc0684398b705e83193b8a4ddd1551624694 | 46,071 | py | Python | core/domain/rights_manager.py | netajik/oppia | d3780352d615db7438e010c5aa5eb60588bb7de6 | [
"Apache-2.0"
] | null | null | null | core/domain/rights_manager.py | netajik/oppia | d3780352d615db7438e010c5aa5eb60588bb7de6 | [
"Apache-2.0"
] | null | null | null | core/domain/rights_manager.py | netajik/oppia | d3780352d615db7438e010c5aa5eb60588bb7de6 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
#
# Copyright 2014 The Oppia Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS-IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Domain objects and functions that manage rights for various user actions."""
import logging
from constants import constants
from core.domain import activity_services
from core.domain import role_services
from core.domain import subscription_services
from core.domain import user_services
from core.platform import models
import feconf
import utils
current_user_services = models.Registry.import_current_user_services()
(collection_models, exp_models,) = models.Registry.import_models([
models.NAMES.collection, models.NAMES.exploration
])
# IMPORTANT: Ensure that all changes to how these cmds are interpreted preserve
# backward-compatibility with previous exploration snapshots in the datastore.
# Do not modify the definitions of CMD keys that already exist.
CMD_CREATE_NEW = 'create_new'
CMD_CHANGE_ROLE = 'change_role'
CMD_CHANGE_EXPLORATION_STATUS = 'change_exploration_status'
CMD_CHANGE_COLLECTION_STATUS = 'change_collection_status'
CMD_CHANGE_PRIVATE_VIEWABILITY = 'change_private_viewability'
CMD_RELEASE_OWNERSHIP = 'release_ownership'
CMD_UPDATE_FIRST_PUBLISHED_MSEC = 'update_first_published_msec'
ACTIVITY_STATUS_PRIVATE = constants.ACTIVITY_STATUS_PRIVATE
ACTIVITY_STATUS_PUBLIC = constants.ACTIVITY_STATUS_PUBLIC
ROLE_OWNER = 'owner'
ROLE_EDITOR = 'editor'
ROLE_TRANSLATOR = 'translator'
ROLE_VIEWER = 'viewer'
ROLE_NONE = 'none'
ROLE_ADMIN = 'admin'
ROLE_MODERATOR = 'moderator'
def get_activity_rights_from_model(activity_rights_model, activity_type):
"""Constructs an ActivityRights object from the given activity rights model.
Args:
activity_rights_model: ActivityRightsModel. Activity rights from the
datastore.
activity_type: str. The type of activity. Possible values:
constants.ACTIVITY_TYPE_EXPLORATION
constants.ACTIVITY_TYPE_COLLECTION
Returns:
ActivityRights. The rights object created from the model.
"""
return ActivityRights(
activity_rights_model.id,
activity_rights_model.owner_ids,
activity_rights_model.editor_ids,
activity_rights_model.translator_ids,
activity_rights_model.viewer_ids,
community_owned=activity_rights_model.community_owned,
cloned_from=(
activity_rights_model.cloned_from
if activity_type == constants.ACTIVITY_TYPE_EXPLORATION else None),
status=activity_rights_model.status,
viewable_if_private=activity_rights_model.viewable_if_private,
first_published_msec=activity_rights_model.first_published_msec
)
def _save_activity_rights(
committer_id, activity_rights, activity_type, commit_message,
commit_cmds):
"""Saves an ExplorationRights or CollectionRights domain object to the
datastore.
Args:
committer_id: str. ID of the committer.
activity_rights: ActivityRights. The rights object for the given
activity.
activity_type: str. The type of activity. Possible values:
constants.ACTIVITY_TYPE_EXPLORATION
constants.ACTIVITY_TYPE_COLLECTION
commit_message: str. Descriptive message for the commit.
commit_cmds: list(dict). A list of commands describing what kind of
commit was done.
"""
activity_rights.validate()
if activity_type == constants.ACTIVITY_TYPE_EXPLORATION:
model_cls = exp_models.ExplorationRightsModel
elif activity_type == constants.ACTIVITY_TYPE_COLLECTION:
model_cls = collection_models.CollectionRightsModel
model = model_cls.get(activity_rights.id, strict=False)
model.owner_ids = activity_rights.owner_ids
model.editor_ids = activity_rights.editor_ids
model.viewer_ids = activity_rights.viewer_ids
model.translator_ids = activity_rights.translator_ids
model.community_owned = activity_rights.community_owned
model.status = activity_rights.status
model.viewable_if_private = activity_rights.viewable_if_private
model.first_published_msec = activity_rights.first_published_msec
model.commit(committer_id, commit_message, commit_cmds)
def _update_exploration_summary(activity_rights):
"""Updates the exploration summary for the activity associated with the
given rights object.
The ID of rights object is the same as the ID of associated activity.
Args:
activity_rights: ActivityRights. The rights object for the given
activity.
"""
# TODO(msl): get rid of inline imports by refactoring code.
from core.domain import exp_services
exp_services.update_exploration_summary(
activity_rights.id, None)
def _update_collection_summary(activity_rights):
"""Updates the collection summary for the given activity associated with
the given rights object.
The ID of rights object is the same as the ID of associated activity.
Args:
activity_rights: ActivityRights. The rights object for the given
activity.
"""
from core.domain import collection_services
collection_services.update_collection_summary(
activity_rights.id, None)
def _update_activity_summary(activity_type, activity_rights):
"""Updates the activity summary for the given activity associated with
the given rights object.
The ID of rights object is the same as the ID of associated activity.
Args:
activity_type: str. The type of activity. Possible values:
constants.ACTIVITY_TYPE_EXPLORATION
constants.ACTIVITY_TYPE_COLLECTION
activity_rights: ActivityRights. The rights object for the given
activity.
"""
if activity_type == constants.ACTIVITY_TYPE_EXPLORATION:
_update_exploration_summary(activity_rights)
elif activity_type == constants.ACTIVITY_TYPE_COLLECTION:
_update_collection_summary(activity_rights)
def update_activity_first_published_msec(
activity_type, activity_id, first_published_msec):
"""Updates the first_published_msec field for the given activity.
The caller is responsible for ensuring that this value is not already
set before updating it.
Args:
activity_type: str. The type of activity. Possible values:
constants.ACTIVITY_TYPE_EXPLORATION
constants.ACTIVITY_TYPE_COLLECTION
activity_id: str. ID of the activity.
first_published_msec: float. First publication time in milliseconds
since the Epoch.
"""
activity_rights = _get_activity_rights(activity_type, activity_id)
commit_cmds = [{
'cmd': CMD_UPDATE_FIRST_PUBLISHED_MSEC,
'old_first_published_msec': activity_rights.first_published_msec,
'new_first_published_msec': first_published_msec
}]
activity_rights.first_published_msec = first_published_msec
_save_activity_rights(
feconf.SYSTEM_COMMITTER_ID, activity_rights, activity_type,
'set first published time in msec', commit_cmds)
def create_new_exploration_rights(exploration_id, committer_id):
"""Creates a new exploration rights object and saves it to the datastore.
Subscribes the committer to the new exploration.
Args:
exploration_id: str. ID of the exploration.
committer_id: str. ID of the committer.
"""
exploration_rights = ActivityRights(
exploration_id, [committer_id], [], [], [])
commit_cmds = [{'cmd': CMD_CREATE_NEW}]
exp_models.ExplorationRightsModel(
id=exploration_rights.id,
owner_ids=exploration_rights.owner_ids,
editor_ids=exploration_rights.editor_ids,
translator_ids=exploration_rights.translator_ids,
viewer_ids=exploration_rights.viewer_ids,
community_owned=exploration_rights.community_owned,
status=exploration_rights.status,
viewable_if_private=exploration_rights.viewable_if_private,
first_published_msec=exploration_rights.first_published_msec,
).commit(committer_id, 'Created new exploration', commit_cmds)
subscription_services.subscribe_to_exploration(
committer_id, exploration_id)
def get_exploration_rights(exploration_id, strict=True):
"""Retrieves the rights for this exploration from the datastore.
Args:
exploration_id: str. ID of the exploration.
strict: bool. Whether to raise an error if there is no exploration
matching the given ID.
Returns:
ActivityRights. The rights object for the given exploration.
Raises:
EntityNotFoundError. The exploration with ID exploration_id was not
found in the datastore.
"""
model = exp_models.ExplorationRightsModel.get(
exploration_id, strict=strict)
if model is None:
return None
return get_activity_rights_from_model(
model, constants.ACTIVITY_TYPE_EXPLORATION)
def get_multiple_exploration_rights_by_ids(exp_ids):
"""Returns a list of ActivityRights objects for given exploration ids.
Args:
exp_ids: list(str). List of exploration ids.
Returns:
list(ActivityRights or None). List of rights object containing
ActivityRights object for existing exploration or None.
"""
exp_rights_models = exp_models.ExplorationRightsModel.get_multi(
exp_ids)
exp_models_list = []
for model in exp_rights_models:
if model is None:
exp_models_list.append(None)
else:
exp_models_list.append(
get_activity_rights_from_model(
model, constants.ACTIVITY_TYPE_EXPLORATION))
return exp_models_list
def is_exploration_private(exploration_id):
"""Returns whether exploration is private.
Args:
exploration_id: str. ID of the exploration.
Returns:
bool. Whether the exploration is private or not.
"""
exploration_rights = get_exploration_rights(exploration_id)
return exploration_rights.status == ACTIVITY_STATUS_PRIVATE
def is_exploration_public(exploration_id):
"""Returns whether exploration is public.
Args:
exploration_id: str. ID of the exploration.
Returns:
bool. Whether the exploration is public.
"""
exploration_rights = get_exploration_rights(exploration_id)
return exploration_rights.status == ACTIVITY_STATUS_PUBLIC
def is_exploration_cloned(exploration_id):
"""Returns whether the exploration is a clone of another exploration.
Args:
exploration_id: str. ID of the exploration.
Returns:
bool. Whether the exploration is a clone of another exploration.
"""
exploration_rights = get_exploration_rights(exploration_id)
return bool(exploration_rights.cloned_from)
def create_new_collection_rights(collection_id, committer_id):
"""Creates a new collection rights object and saves it to the datastore.
Subscribes the committer to the new collection.
Args:
collection_id: str. ID of the collection.
committer_id: str. ID of the committer.
"""
collection_rights = ActivityRights(
collection_id, [committer_id], [], [], [])
commit_cmds = [{'cmd': CMD_CREATE_NEW}]
collection_models.CollectionRightsModel(
id=collection_rights.id,
owner_ids=collection_rights.owner_ids,
editor_ids=collection_rights.editor_ids,
translator_ids=collection_rights.translator_ids,
viewer_ids=collection_rights.viewer_ids,
community_owned=collection_rights.community_owned,
status=collection_rights.status,
viewable_if_private=collection_rights.viewable_if_private,
first_published_msec=collection_rights.first_published_msec
).commit(committer_id, 'Created new collection', commit_cmds)
subscription_services.subscribe_to_collection(committer_id, collection_id)
def get_collection_rights(collection_id, strict=True):
"""Retrieves the rights for this collection from the datastore.
Args:
collection_id: str. ID of the collection.
strict: bool. Whether to raise an error if ID is not found.
Returns:
ActivityRights. The rights object for the collection.
Raises:
EntityNotFoundError. The collection with ID collection_id is not found
in the datastore.
"""
model = collection_models.CollectionRightsModel.get(
collection_id, strict=strict)
if model is None:
return None
return get_activity_rights_from_model(
model, constants.ACTIVITY_TYPE_COLLECTION)
def get_collection_owner_names(collection_id):
"""Retrieves the owners for this collection from the datastore.
Args:
collection_id: str. ID of the collection.
Returns:
list(str). Human-readable usernames (or truncated email addresses) of
owners for this collection.
"""
collection_rights = get_collection_rights(collection_id)
return user_services.get_human_readable_user_ids(
collection_rights.owner_ids)
def is_collection_private(collection_id):
"""Returns whether the collection is private.
Args:
collection_id: str. ID of the collection.
Returns:
bool. Whether the collection is private.
"""
collection_rights = get_collection_rights(collection_id)
return collection_rights.status == ACTIVITY_STATUS_PRIVATE
def is_collection_public(collection_id):
"""Returns whether the collection is public.
Args:
collection_id: str. ID of the collection.
Returns:
bool. Whether the collection is public.
"""
collection_rights = get_collection_rights(collection_id)
return collection_rights.status == ACTIVITY_STATUS_PUBLIC
def _get_activity_rights(activity_type, activity_id):
"""Retrieves the rights object for the given activity
based on its type.
Args:
activity_type: str. The type of activity. Possible values:
constants.ACTIVITY_TYPE_EXPLORATION
constants.ACTIVITY_TYPE_COLLECTION
activity_id: str. ID of the activity.
Returns:
ActivityRights. The rights object associated with the given activity.
Raises:
Exception. activity_type provided is unknown.
"""
if activity_type == constants.ACTIVITY_TYPE_EXPLORATION:
return get_exploration_rights(activity_id, strict=False)
elif activity_type == constants.ACTIVITY_TYPE_COLLECTION:
return get_collection_rights(activity_id, strict=False)
else:
raise Exception(
'Cannot get activity rights for unknown activity type: %s' % (
activity_type))
def check_can_access_activity(user, activity_rights):
"""Checks whether the user can access given activity.
Args:
user: UserActionsInfo. Object having user_id, role and actions for
given user.
activity_rights: AcitivityRights or None. Rights object for the given
activity.
Returns:
bool. Whether the given activity can be accessed by the given user.
"""
if activity_rights is None:
return False
elif activity_rights.is_published():
return bool(
role_services.ACTION_PLAY_ANY_PUBLIC_ACTIVITY in user.actions)
elif activity_rights.is_private():
return bool(
(role_services.ACTION_PLAY_ANY_PRIVATE_ACTIVITY in user.actions) or
activity_rights.is_viewer(user.user_id) or
activity_rights.is_owner(user.user_id) or
activity_rights.is_editor(user.user_id) or
activity_rights.is_translator(user.user_id) or
activity_rights.viewable_if_private)
def check_can_edit_activity(user, activity_rights):
"""Checks whether the user can edit given activity.
Args:
user: UserActionsInfo. Object having user_id, role and actions for
given user.
activity_rights: ActivityRights or None. Rights object for the given
activity.
Returns:
bool. Whether the given user can edit this activity.
"""
if activity_rights is None:
return False
if role_services.ACTION_EDIT_OWNED_ACTIVITY not in user.actions:
return False
if (activity_rights.is_owner(user.user_id) or
activity_rights.is_editor(user.user_id)):
return True
if (activity_rights.community_owned or
(role_services.ACTION_EDIT_ANY_ACTIVITY in user.actions)):
return True
if (activity_rights.is_published() and
(role_services.ACTION_EDIT_ANY_PUBLIC_ACTIVITY in
user.actions)):
return True
return False
def check_can_translate_activity(user, activity_rights):
"""Checks whether the user can translate given activity.
Args:
user: UserActionsInfo. Object having user_id, role and actions for
given user.
activity_rights: ActivityRights or None. Rights object for the given
activity.
Returns:
bool. Whether the given user can translate this activity.
"""
if activity_rights is None:
return False
if role_services.ACTION_EDIT_OWNED_ACTIVITY not in user.actions:
return False
if (activity_rights.is_owner(user.user_id) or
activity_rights.is_editor(user.user_id) or
activity_rights.is_translator(user.user_id)):
return True
if (activity_rights.community_owned or
(role_services.ACTION_EDIT_ANY_ACTIVITY in user.actions)):
return True
if (activity_rights.is_published() and
(role_services.ACTION_EDIT_ANY_PUBLIC_ACTIVITY in
user.actions)):
return True
return False
def check_can_delete_activity(user, activity_rights):
"""Checks whether the user can delete given activity.
Args:
user: UserActionsInfo. Object having user_id, role and actions for
given user.
activity_rights: ActivityRights or None. Rights object for the given
activity.
Returns:
bool. Whether the user can delete given activity.
"""
if activity_rights is None:
return False
if role_services.ACTION_DELETE_ANY_ACTIVITY in user.actions:
return True
elif (activity_rights.is_private() and
(role_services.ACTION_DELETE_OWNED_PRIVATE_ACTIVITY in user.actions)
and activity_rights.is_owner(user.user_id)):
return True
elif (activity_rights.is_published() and
(role_services.ACTION_DELETE_ANY_PUBLIC_ACTIVITY in user.actions)):
return True
return False
def check_can_modify_activity_roles(user, activity_rights):
"""Checks whether the user can modify roles for given activity.
Args:
user: UserActionsInfo. Object having user_id, role and actions for
given user.
activity_rights: ActivityRights or None. Rights object for the given
activity.
Returns:
bool. Whether the user can modify roles for given activity.
"""
if activity_rights is None:
return False
if (activity_rights.community_owned or
activity_rights.cloned_from):
return False
if (role_services.ACTION_MODIFY_ROLES_FOR_ANY_ACTIVITY in
user.actions):
return True
if (role_services.ACTION_MODIFY_ROLES_FOR_OWNED_ACTIVITY in
user.actions):
if activity_rights.is_owner(user.user_id):
return True
return False
def check_can_release_ownership(user, activity_rights):
"""Checks whether the user can release ownership for given activity.
Args:
user: UserActionsInfo. Object having user_id, role and actions for
given user.
activity_rights: ActivityRights or None. Rights object for the given
activity.
Returns:
bool. Whether the user can release ownership for given activity.
"""
if activity_rights is None:
return False
if activity_rights.is_private():
return False
return check_can_modify_activity_roles(
user, activity_rights)
def check_can_publish_activity(user, activity_rights):
"""Checks whether the user can publish given activity.
Args:
user: UserActionsInfo. Object having user_id, role and actions for
given user.
activity_rights: ActivityRights or None. Rights object for the given
activity.
Returns:
bool. Whether the user can publish given activity.
"""
if activity_rights is None:
return False
if activity_rights.cloned_from:
return False
if activity_rights.is_published():
return False
if role_services.ACTION_PUBLISH_ANY_ACTIVITY in user.actions:
return True
if role_services.ACTION_PUBLISH_OWNED_ACTIVITY in user.actions:
if activity_rights.is_owner(user.user_id):
return True
return False
def check_can_unpublish_activity(user, activity_rights):
"""Checks whether the user can unpublish given activity.
Args:
user: UserActionsInfo. Object having user_id, role and actions for
given user.
activity_rights: ActivityRights or None. Rights object for the given
activity.
Returns:
bool. Whether the user can unpublish given activity.
"""
if activity_rights is None:
return False
if activity_rights.community_owned:
return False
if activity_rights.is_published():
if role_services.ACTION_UNPUBLISH_ANY_PUBLIC_ACTIVITY in user.actions:
return True
return False
def _assign_role(
committer, assignee_id, new_role, activity_id, activity_type):
"""Assigns a new role to the user.
Args:
committer: UserActionsInfo. UserActionInfo object for the user
who is performing the action.
assignee_id: str. ID of the user whose role is being changed.
new_role: str. The name of the new role: One of
ROLE_OWNER
ROLE_EDITOR
ROLE_TRANSLATOR
ROLE_VIEWER
activity_id: str. ID of the activity.
activity_type: str. The type of activity. Possible values:
constants.ACTIVITY_TYPE_EXPLORATION
constants.ACTIVITY_TYPE_COLLECTION
Raises:
Exception. The committer does not have rights to modify a role.
Exception. The user already owns the activity.
Exception. The user can already edit the activity.
Exception. The user can already translate the activity.
Exception. The activity is already publicly editable.
Exception. The activity is already publicly translatable.
Exception. The user can already view the activity.
Exception. The activity is already publicly viewable.
Exception. The role is invalid.
"""
committer_id = committer.user_id
activity_rights = _get_activity_rights(activity_type, activity_id)
if not check_can_modify_activity_roles(committer, activity_rights):
logging.error(
'User %s tried to allow user %s to be a(n) %s of activity %s '
'but was refused permission.' % (
committer_id, assignee_id, new_role, activity_id))
raise Exception(
'UnauthorizedUserException: Could not assign new role.')
assignee_username = user_services.get_username(assignee_id)
old_role = ROLE_NONE
if new_role == ROLE_OWNER:
if activity_rights.is_owner(assignee_id):
raise Exception('This user already owns this %s.' % activity_type)
activity_rights.owner_ids.append(assignee_id)
if assignee_id in activity_rights.viewer_ids:
activity_rights.viewer_ids.remove(assignee_id)
old_role = ROLE_VIEWER
if assignee_id in activity_rights.editor_ids:
activity_rights.editor_ids.remove(assignee_id)
old_role = ROLE_EDITOR
if assignee_id in activity_rights.translator_ids:
activity_rights.translator_ids.remove(assignee_id)
old_role = ROLE_TRANSLATOR
elif new_role == ROLE_EDITOR:
if (activity_rights.is_editor(assignee_id) or
activity_rights.is_owner(assignee_id)):
raise Exception(
'This user already can edit this %s.' % activity_type)
if activity_rights.community_owned:
raise Exception(
'Community-owned %ss can be edited by anyone.' % activity_type)
activity_rights.editor_ids.append(assignee_id)
if assignee_id in activity_rights.translator_ids:
activity_rights.translator_ids.remove(assignee_id)
old_role = ROLE_TRANSLATOR
if assignee_id in activity_rights.viewer_ids:
activity_rights.viewer_ids.remove(assignee_id)
old_role = ROLE_VIEWER
elif new_role == ROLE_TRANSLATOR:
if (activity_rights.is_editor(assignee_id) or
activity_rights.is_translator(assignee_id) or
activity_rights.is_owner(assignee_id)):
raise Exception(
'This user already can translate this %s.' % activity_type)
if activity_rights.community_owned:
raise Exception(
'Community-owned %ss can be translated by anyone.' %
activity_type)
activity_rights.translator_ids.append(assignee_id)
if assignee_id in activity_rights.viewer_ids:
activity_rights.viewer_ids.remove(assignee_id)
old_role = ROLE_VIEWER
elif new_role == ROLE_VIEWER:
if (activity_rights.is_owner(assignee_id) or
activity_rights.is_editor(assignee_id) or
activity_rights.is_viewer(assignee_id)):
raise Exception(
'This user already can view this %s.' % activity_type)
if activity_rights.status != ACTIVITY_STATUS_PRIVATE:
raise Exception(
'Public %ss can be viewed by anyone.' % activity_type)
activity_rights.viewer_ids.append(assignee_id)
else:
raise Exception('Invalid role: %s' % new_role)
commit_message = 'Changed role of %s from %s to %s' % (
assignee_username, old_role, new_role)
commit_cmds = [{
'cmd': CMD_CHANGE_ROLE,
'assignee_id': assignee_id,
'old_role': old_role,
'new_role': new_role
}]
_save_activity_rights(
committer_id, activity_rights, activity_type,
commit_message, commit_cmds)
_update_activity_summary(activity_type, activity_rights)
def _release_ownership_of_activity(committer, activity_id, activity_type):
"""Releases ownership of the given activity to the community.
Args:
committer: UserActionsInfo. UserActionsInfo object for the user who
is performing the action.
activity_id: str. ID of the activity.
activity_type: str. The type of activity. Possible values:
constants.ACTIVITY_TYPE_EXPLORATION
constants.ACTIVITY_TYPE_COLLECTION
Raise:
Exception. The committer does not have release rights.
"""
committer_id = committer.user_id
activity_rights = _get_activity_rights(activity_type, activity_id)
if not check_can_release_ownership(committer, activity_rights):
logging.error(
'User %s tried to release ownership of %s %s but was '
'refused permission.' % (committer_id, activity_type, activity_id))
raise Exception(
'The ownership of this %s cannot be released.' % activity_type)
activity_rights.community_owned = True
activity_rights.owner_ids = []
activity_rights.editor_ids = []
activity_rights.viewer_ids = []
commit_cmds = [{
'cmd': CMD_RELEASE_OWNERSHIP,
}]
_save_activity_rights(
committer_id, activity_rights, activity_type,
'%s ownership released to the community.' % activity_type, commit_cmds)
_update_activity_summary(activity_type, activity_rights)
def _change_activity_status(
committer_id, activity_id, activity_type, new_status, commit_message):
"""Changes the status of the given activity.
Args:
committer_id: str. ID of the user who is performing the update action.
activity_id: str. ID of the activity.
activity_type: str. The type of activity. Possible values:
constants.ACTIVITY_TYPE_EXPLORATION
constants.ACTIVITY_TYPE_COLLECTION
new_status: str. The new status of the activity.
commit_message: str. The human-written commit message for this change.
"""
activity_rights = _get_activity_rights(activity_type, activity_id)
old_status = activity_rights.status
activity_rights.status = new_status
if activity_type == constants.ACTIVITY_TYPE_EXPLORATION:
cmd_type = CMD_CHANGE_EXPLORATION_STATUS
elif activity_type == constants.ACTIVITY_TYPE_COLLECTION:
cmd_type = CMD_CHANGE_COLLECTION_STATUS
commit_cmds = [{
'cmd': cmd_type,
'old_status': old_status,
'new_status': new_status
}]
if new_status != ACTIVITY_STATUS_PRIVATE:
activity_rights.viewer_ids = []
if activity_rights.first_published_msec is None:
activity_rights.first_published_msec = (
utils.get_current_time_in_millisecs())
_save_activity_rights(
committer_id, activity_rights, activity_type, commit_message,
commit_cmds)
_update_activity_summary(activity_type, activity_rights)
def _publish_activity(committer, activity_id, activity_type):
"""Publishes the given activity.
Args:
committer: UserActionsInfo. UserActionsInfo object for the committer.
activity_id: str. ID of the activity.
activity_type: str. The type of activity. Possible values:
constants.ACTIVITY_TYPE_EXPLORATION
constants.ACTIVITY_TYPE_COLLECTION
Raises:
Exception. The committer does not have rights to publish the
activity.
"""
committer_id = committer.user_id
activity_rights = _get_activity_rights(activity_type, activity_id)
if not check_can_publish_activity(committer, activity_rights):
logging.error(
'User %s tried to publish %s %s but was refused '
'permission.' % (committer_id, activity_type, activity_id))
raise Exception('This %s cannot be published.' % activity_type)
_change_activity_status(
committer_id, activity_id, activity_type, ACTIVITY_STATUS_PUBLIC,
'%s published.' % activity_type)
def _unpublish_activity(committer, activity_id, activity_type):
"""Unpublishes the given activity.
Args:
committer: UserActionsInfo. UserActionsInfo object for the committer.
activity_id: str. ID of the activity.
activity_type: str. The type of activity. Possible values:
constants.ACTIVITY_TYPE_EXPLORATION
constants.ACTIVITY_TYPE_COLLECTION
Raises:
Exception. The committer does not have rights to unpublish the
activity.
"""
committer_id = committer.user_id
activity_rights = _get_activity_rights(activity_type, activity_id)
if not check_can_unpublish_activity(committer, activity_rights):
logging.error(
'User %s tried to unpublish %s %s but was refused '
'permission.' % (committer_id, activity_type, activity_id))
raise Exception('This %s cannot be unpublished.' % activity_type)
_change_activity_status(
committer_id, activity_id, activity_type, ACTIVITY_STATUS_PRIVATE,
'%s unpublished.' % activity_type)
activity_services.remove_featured_activity(activity_type, activity_id)
# Rights functions for activities.
def assign_role_for_exploration(
committer, exploration_id, assignee_id, new_role):
"""Assigns a user to the given role and subscribes the assignee to future
exploration updates.
The caller should ensure that assignee_id corresponds to a valid user in
the system.
Args:
committer: UserActionsInfo. The UserActionsInfo object for the
committer.
exploration_id: str. ID of the exploration.
assignee_id: str. ID of the user whose role is being changed.
new_role: str. The name of the new role: One of
ROLE_OWNER
ROLE_EDITOR
ROLE_TRANSLATOR
Raises:
Exception. This could potentially throw an exception from
_assign_role.
"""
_assign_role(
committer, assignee_id, new_role, exploration_id,
constants.ACTIVITY_TYPE_EXPLORATION)
if new_role in [ROLE_OWNER, ROLE_EDITOR, ROLE_TRANSLATOR]:
subscription_services.subscribe_to_exploration(
assignee_id, exploration_id)
def release_ownership_of_exploration(committer, exploration_id):
"""Releases ownership of the given exploration to the community.
Args:
committer: UserActionsInfo. UserActionsInfo object for the committer.
exploration_id: str. ID of the exploration.
Raises:
Exception. This could potentially throw an exception from
_release_ownership_of_activity.
"""
_release_ownership_of_activity(
committer, exploration_id, constants.ACTIVITY_TYPE_EXPLORATION)
def set_private_viewability_of_exploration(
committer, exploration_id, viewable_if_private):
"""Sets the viewable_if_private attribute for the given exploration's rights
object.
If viewable_if_private is True, this allows a private exploration
to be viewed by anyone with the link.
Args:
committer: UserActionsInfo. UserActionsInfo object for the committer.
exploration_id: str. ID of the exploration.
viewable_if_private: bool. Whether the exploration should be made
viewable (by anyone with the link).
Raises:
Exception. The committer does not have the permission to perform change
action.
Exception. If the viewable_if_private property is already as desired.
"""
committer_id = committer.user_id
exploration_rights = get_exploration_rights(exploration_id)
# The user who can publish activity can change its private viewability.
if not check_can_publish_activity(committer, exploration_rights):
logging.error(
'User %s tried to change private viewability of exploration %s '
'but was refused permission.' % (committer_id, exploration_id))
raise Exception(
'The viewability status of this exploration cannot be changed.')
old_viewable_if_private = exploration_rights.viewable_if_private
if old_viewable_if_private == viewable_if_private:
raise Exception(
'Trying to change viewability status of this exploration to %s, '
'but that is already the current value.' % viewable_if_private)
exploration_rights.viewable_if_private = viewable_if_private
commit_cmds = [{
'cmd': CMD_CHANGE_PRIVATE_VIEWABILITY,
'old_viewable_if_private': old_viewable_if_private,
'new_viewable_if_private': viewable_if_private,
}]
commit_message = (
'Made exploration viewable to anyone with the link.'
if viewable_if_private else
'Made exploration viewable only to invited playtesters.')
_save_activity_rights(
committer_id, exploration_rights, constants.ACTIVITY_TYPE_EXPLORATION,
commit_message, commit_cmds)
_update_exploration_summary(exploration_rights)
def publish_exploration(committer, exploration_id):
"""Publishes the given exploration.
It is the responsibility of the caller to check that the exploration is
valid prior to publication.
Args:
committer: UserActionsInfo. UserActionsInfo object for the committer.
exploration_id: str. ID of the exploration.
Raises:
Exception. This could potentially throw an exception from
_publish_activity.
"""
_publish_activity(
committer, exploration_id, constants.ACTIVITY_TYPE_EXPLORATION)
def unpublish_exploration(committer, exploration_id):
"""Unpublishes the given exploration.
Args:
committer: UserActionsInfo. UserActionsInfo object for the committer.
exploration_id: str. ID of the exploration.
Raises:
Exception. This could potentially throw an exception from
_unpublish_activity.
"""
_unpublish_activity(
committer, exploration_id, constants.ACTIVITY_TYPE_EXPLORATION)
# Rights functions for collections.
def assign_role_for_collection(
committer, collection_id, assignee_id, new_role):
"""Assign the given user to the given role and subscribes the assignee
to future collection updates.
The caller should ensure that assignee_id corresponds to a valid user in
the system.
Args:
committer: UserActionsInfo. UserActionsInfo object for the committer.
collection_id: str. ID of the collection.
assignee_id: str. ID of the user whose role is being changed.
new_role: str. The name of the new role: One of
ROLE_OWNER
ROLE_EDITOR
Raises:
Exception. This could potentially throw an exception from
_assign_role.
"""
_assign_role(
committer, assignee_id, new_role, collection_id,
constants.ACTIVITY_TYPE_COLLECTION)
if new_role in [ROLE_OWNER, ROLE_EDITOR]:
subscription_services.subscribe_to_collection(
assignee_id, collection_id)
def release_ownership_of_collection(committer, collection_id):
"""Releases ownership of the given collection to the community.
Args:
committer: UserActionsInfo. UserActionsInfo object for the committer.
collection_id: str. ID of the collection.
Raises:
Exception. This could potentially throw an exception from
_release_ownership_of_activity.
"""
_release_ownership_of_activity(
committer, collection_id, constants.ACTIVITY_TYPE_COLLECTION)
def publish_collection(committer, collection_id):
"""Publishes the given collection.
It is the responsibility of the caller to check that the collection is
valid prior to publication.
Args:
committer: UserActionsInfo. UserActionsInfo object for the committer.
collection_id: str. ID of the collection.
Raises:
Exception. This could potentially throw an exception from
_publish_activity.
"""
_publish_activity(
committer, collection_id, constants.ACTIVITY_TYPE_COLLECTION)
def unpublish_collection(committer, collection_id):
"""Unpublishes the given collection.
Args:
committer: UserActionsInfo. UserActionsInfo object for the committer.
collection_id: str. ID of the collection.
Raises:
Exception. This could potentially throw an exception from
_unpublish_activity.
"""
_unpublish_activity(
committer, collection_id, constants.ACTIVITY_TYPE_COLLECTION)
| 35.303448 | 80 | 0.692323 |
07c453afd778414ad9fee5c8bcdaf13018eeb9f5 | 1,755 | py | Python | pkg_resources/_vendor/packaging/_typing.py | GDGSNF/setuptools | 3a209029fd2217c039593cd1f6cb378a28527a59 | [
"MIT"
] | null | null | null | pkg_resources/_vendor/packaging/_typing.py | GDGSNF/setuptools | 3a209029fd2217c039593cd1f6cb378a28527a59 | [
"MIT"
] | null | null | null | pkg_resources/_vendor/packaging/_typing.py | GDGSNF/setuptools | 3a209029fd2217c039593cd1f6cb378a28527a59 | [
"MIT"
] | null | null | null | """For neatly implementing static typing in packaging.
`mypy` - the static type analysis tool we use - uses the `typing` module, which
provides core functionality fundamental to mypy's functioning.
Generally, `typing` would be imported at runtime and used in that fashion -
it acts as a no-op at runtime and does not have any run-time overhead by
design.
As it turns out, `typing` is not vendorable - it uses separate sources for
Python 2/Python 3. Thus, this codebase can not expect it to be present.
To work around this, mypy allows the typing import to be behind a False-y
optional to prevent it from running at runtime and type-comments can be used
to remove the need for the types to be accessible directly during runtime.
This module provides the False-y guard in a nicely named fashion so that a
curious maintainer can reach here to read this.
In packaging, all static-typing related imports should be guarded as follows:
from packaging._typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import ...
Ref: https://github.com/python/mypy/issues/3216
"""
__all__ = ["TYPE_CHECKING", "cast"]
# The TYPE_CHECKING constant defined by the typing module is False at runtime
# but True while type checking.
TYPE_CHECKING = False # pragma: no cover
# typing's cast syntax requires calling typing.cast at runtime, but we don't
# want to import typing at runtime. Here, we inform the type checkers that
# we're importing `typing.cast` as `cast` and re-implement typing.cast's
# runtime behavior in a block that is ignored by type checkers.
if TYPE_CHECKING: # pragma: no cover
# not executed at runtime
from typing import cast
else:
# executed at runtime
| 37.340426 | 79 | 0.756125 |
07c4707b6186eda818ca02fcf8c20fba9ffa25c7 | 7,024 | py | Python | selfdrive/car/toyota/carcontroller.py | aolin480/openpilot | 9ac00c3e5e111a05a0bb10018ccd190571dfff4d | [
"MIT"
] | 70 | 2021-06-18T13:04:10.000Z | 2022-03-31T13:58:09.000Z | selfdrive/car/toyota/carcontroller.py | aolin480/openpilot | 9ac00c3e5e111a05a0bb10018ccd190571dfff4d | [
"MIT"
] | 50 | 2021-06-16T23:52:55.000Z | 2022-03-30T14:05:33.000Z | selfdrive/car/toyota/carcontroller.py | aolin480/openpilot | 9ac00c3e5e111a05a0bb10018ccd190571dfff4d | [
"MIT"
] | 88 | 2021-06-23T21:33:19.000Z | 2022-03-31T07:27:08.000Z | from cereal import car
from common.numpy_fast import clip, interp
from selfdrive.car import apply_toyota_steer_torque_limits, create_gas_interceptor_command, make_can_msg
from selfdrive.car.toyota.toyotacan import create_steer_command, create_ui_command, \
create_accel_command, create_acc_cancel_command, \
create_fcw_command, create_lta_steer_command
from selfdrive.car.toyota.values import CAR, STATIC_DSU_MSGS, NO_STOP_TIMER_CAR, TSS2_CAR, \
MIN_ACC_SPEED, PEDAL_TRANSITION, CarControllerParams
from opendbc.can.packer import CANPacker
from common.op_params import opParams
VisualAlert = car.CarControl.HUDControl.VisualAlert
| 48.777778 | 152 | 0.716259 |
07c5ea304ad9e83dcc3f691f719157c2c8a1317f | 85 | py | Python | app/auth/__init__.py | louisenje/Pitches | 11248906ffa7d1b6ed6c47db0c5e7bd3b4768825 | [
"Unlicense"
] | null | null | null | app/auth/__init__.py | louisenje/Pitches | 11248906ffa7d1b6ed6c47db0c5e7bd3b4768825 | [
"Unlicense"
] | null | null | null | app/auth/__init__.py | louisenje/Pitches | 11248906ffa7d1b6ed6c47db0c5e7bd3b4768825 | [
"Unlicense"
] | null | null | null | from flask import Blueprint
auth=Blueprint('auth',__name__)
from .import views,forms | 21.25 | 31 | 0.811765 |
07c638a7630e99e901331aada0e29b538ff7310d | 1,482 | py | Python | forms/QRGenerator.py | Rono-Barto-Co/Project-QR | e80fc5a41f25542038c090311844912790cb1478 | [
"MIT"
] | 3 | 2019-07-04T03:27:06.000Z | 2019-09-06T08:52:35.000Z | forms/QRGenerator.py | Rono-Barto-Co/Project-QR | e80fc5a41f25542038c090311844912790cb1478 | [
"MIT"
] | null | null | null | forms/QRGenerator.py | Rono-Barto-Co/Project-QR | e80fc5a41f25542038c090311844912790cb1478 | [
"MIT"
] | null | null | null | from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField, SelectField
from wtforms.validators import DataRequired
| 54.888889 | 89 | 0.323887 |
07c6a477f6bfebee04a539e1d02b2df95226ab91 | 1,259 | py | Python | Quiz/m2_advanced_quants/l5_volatility/volatility_estimation.py | jcrangel/AI-for-Trading | c3b865e992f8eb8deda91e7641428eef1d343636 | [
"Apache-2.0"
] | null | null | null | Quiz/m2_advanced_quants/l5_volatility/volatility_estimation.py | jcrangel/AI-for-Trading | c3b865e992f8eb8deda91e7641428eef1d343636 | [
"Apache-2.0"
] | null | null | null | Quiz/m2_advanced_quants/l5_volatility/volatility_estimation.py | jcrangel/AI-for-Trading | c3b865e992f8eb8deda91e7641428eef1d343636 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
import numpy as np
def estimate_volatility(prices, l):
"""Create an exponential moving average model of the volatility of a stock
price, and return the most recent (last) volatility estimate.
Parameters
----------
prices : pandas.Series
A series of adjusted closing prices for a stock.
l : float
The 'lambda' parameter of the exponential moving average model. Making
this value smaller will cause the model to weight older terms less
relative to more recent terms.
Returns
-------
last_vol : float
The last element of your exponential moving averge volatility model series.
"""
# TODO: Implement the exponential moving average volatility model and return the last value.
return prices.ewm(alpha=(1-l)).mean()[-1]
def test_run(filename='data.csv'):
"""Test run get_most_volatile() with stock prices from a file."""
prices = pd.read_csv(filename, parse_dates=[
'date'], index_col='date', squeeze=True)
print("Most recent volatility estimate: {:.6f}".format(estimate_volatility(prices, 0.7)))
# print(estimate_volatility(prices, 0.7))
if __name__ == '__main__':
test_run()
| 31.475 | 96 | 0.659253 |
07c6e4237d951b4abd908ba105b7d327ebecef98 | 484 | py | Python | jp.atcoder/abc122/abc122_c/9516079.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | 1 | 2022-02-09T03:06:25.000Z | 2022-02-09T03:06:25.000Z | jp.atcoder/abc122/abc122_c/9516079.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | 1 | 2022-02-05T22:53:18.000Z | 2022-02-09T01:29:30.000Z | jp.atcoder/abc122/abc122_c/9516079.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | null | null | null | import sys
n, q = map(int, sys.stdin.readline().split())
s = '$' + sys.stdin.readline().rstrip()
lr = zip(*[map(int, sys.stdin.read().split())] * 2)
if __name__ == '__main__':
ans = main()
print(*ans, sep='\n')
| 23.047619 | 52 | 0.452479 |
07c71ca4f5171ffec7ba2da60f8676b83050c69c | 2,262 | py | Python | Decoder.py | gokulsg/Attention-is-all-you-need-implementation-from-scratch | f5eb591d169cbef3ef8b066d8d462fee11badc3b | [
"MIT"
] | 1 | 2022-02-19T03:51:38.000Z | 2022-02-19T03:51:38.000Z | Decoder.py | gokulsg/Attention-is-all-you-need-implementation-from-scratch | f5eb591d169cbef3ef8b066d8d462fee11badc3b | [
"MIT"
] | null | null | null | Decoder.py | gokulsg/Attention-is-all-you-need-implementation-from-scratch | f5eb591d169cbef3ef8b066d8d462fee11badc3b | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
from DecoderLayer import DecoderLayer
import math
| 42.679245 | 122 | 0.597259 |
07c821ec1109c1e7667cac57580d2ee557fe694c | 901 | py | Python | salt/grains/nxos.py | babs/salt | c536ea716d5308880b244e7980f4b659d86fc104 | [
"Apache-2.0"
] | 9,425 | 2015-01-01T05:59:24.000Z | 2022-03-31T20:44:05.000Z | salt/grains/nxos.py | babs/salt | c536ea716d5308880b244e7980f4b659d86fc104 | [
"Apache-2.0"
] | 33,507 | 2015-01-01T00:19:56.000Z | 2022-03-31T23:48:20.000Z | salt/grains/nxos.py | babs/salt | c536ea716d5308880b244e7980f4b659d86fc104 | [
"Apache-2.0"
] | 5,810 | 2015-01-01T19:11:45.000Z | 2022-03-31T02:37:20.000Z | """
Grains for Cisco NX-OS minions
.. versionadded:: 2016.11.0
For documentation on setting up the nxos proxy minion look in the documentation
for :mod:`salt.proxy.nxos<salt.proxy.nxos>`.
"""
import logging
import salt.utils.nxos
import salt.utils.platform
from salt.exceptions import NxosClientError
log = logging.getLogger(__name__)
__proxyenabled__ = ["nxos"]
__virtualname__ = "nxos"
| 21.97561 | 79 | 0.675916 |
07c8e1478041c57a7ff67d2397fd305a48517875 | 3,356 | py | Python | tmsproviderapisdk/tms_device.py | tvip/tmsproviderapisdk | f385ddb0d7e87e7a62d1caef3e2c9769e844a4a1 | [
"MIT"
] | null | null | null | tmsproviderapisdk/tms_device.py | tvip/tmsproviderapisdk | f385ddb0d7e87e7a62d1caef3e2c9769e844a4a1 | [
"MIT"
] | null | null | null | tmsproviderapisdk/tms_device.py | tvip/tmsproviderapisdk | f385ddb0d7e87e7a62d1caef3e2c9769e844a4a1 | [
"MIT"
] | null | null | null | from typing import List, Optional, Tuple
from tmsproviderapisdk.tms_extended_model import TmsExtendedModel
| 40.926829 | 120 | 0.598033 |
07ca1045f3d1ae1412959e210adfbad3cf54eff0 | 7,676 | py | Python | fealty/fields.py | eddiejessup/fealty | 03745eb98d85bc2a5d08920773ab9c4515462d30 | [
"BSD-3-Clause"
] | null | null | null | fealty/fields.py | eddiejessup/fealty | 03745eb98d85bc2a5d08920773ab9c4515462d30 | [
"BSD-3-Clause"
] | null | null | null | fealty/fields.py | eddiejessup/fealty | 03745eb98d85bc2a5d08920773ab9c4515462d30 | [
"BSD-3-Clause"
] | null | null | null | """
A class hierarchy relating to fields of all kinds.
"""
from __future__ import print_function, division
import numpy as np
from ciabatta.meta import make_repr_str
from fealty import lattice, field_numerics, walled_field_numerics
class Field(Space):
def density_field(self, r):
return density(r, self.L, self.dx)
def r_to_i(self, r):
return lattice.r_to_i(r, self.L, self.dx)
def i_to_r(self, i):
return lattice.i_to_r(i, self.L, self.dx)
def __repr__(self):
fs = [('L', self.L), ('dim', self.dim), ('dx', self.dx)]
return make_repr_str(self, fs)
class Scalar(Field):
class Diffusing(Scalar):
class WalledScalar(Scalar):
# Note, inheritance order matters to get walled grad & laplacian call
# (see diamond problem on wikipedia and how python handles it)
| 29.186312 | 74 | 0.60839 |
07cb2143ea47874c58c2e1ce2165dfb24f78e2e2 | 583 | py | Python | examples/example_django/example_django/asgi.py | cpascariello/aleph-vm | 1b4920bec211ef3bd379e9359f57f06b9308c1a1 | [
"MIT"
] | 19 | 2021-04-13T14:01:06.000Z | 2022-02-19T00:45:05.000Z | examples/example_django/example_django/asgi.py | cpascariello/aleph-vm | 1b4920bec211ef3bd379e9359f57f06b9308c1a1 | [
"MIT"
] | 65 | 2021-04-14T09:02:24.000Z | 2022-03-29T07:56:03.000Z | examples/example_django/example_django/asgi.py | cpascariello/aleph-vm | 1b4920bec211ef3bd379e9359f57f06b9308c1a1 | [
"MIT"
] | 9 | 2021-06-01T23:03:28.000Z | 2022-02-17T20:24:57.000Z | """
ASGI config for example_django project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "example_django.settings")
application = get_asgi_application()
os.system("/usr/bin/python3 /opt/code/manage.py migrate")
os.system("/usr/bin/python3 /opt/code/manage.py "
"loaddata /opt/code/blog/fixtures/default_articles.json")
| 26.5 | 78 | 0.766724 |
07cc54388c8061e52f8dc1aa33c14d904afe5143 | 3,964 | py | Python | lectures/extensions/hyperbolic_discounting/replication_code/src/analysis/get_bivariate_distr_data.py | loikein/ekw-lectures | a2f5436f10515ab26eab323fca8c37c91bdc5dcd | [
"MIT"
] | 4 | 2019-11-15T15:21:27.000Z | 2020-07-08T15:04:30.000Z | lectures/extensions/hyperbolic_discounting/replication_code/src/analysis/get_bivariate_distr_data.py | loikein/ekw-lectures | a2f5436f10515ab26eab323fca8c37c91bdc5dcd | [
"MIT"
] | 9 | 2019-11-18T15:54:36.000Z | 2020-07-14T13:56:53.000Z | lectures/extensions/hyperbolic_discounting/replication_code/src/analysis/get_bivariate_distr_data.py | loikein/ekw-lectures | a2f5436f10515ab26eab323fca8c37c91bdc5dcd | [
"MIT"
] | 3 | 2021-01-25T15:41:30.000Z | 2021-09-21T08:51:36.000Z | """Generate values of Method of Simulated Moments criterion function.
Given observed moments and weighting matrix in `OUT_ANALYSIS`, "msm_estimation",
generate values of Method of Simulated Moments criterion function for combinations
of discount factor and present bias values.
The goal is to study the bivariate distribution of the time preference parameters
around the combination of true parameter values.
"""
import itertools
import numpy as np
import pandas as pd
import respy as rp
import yaml
from bld.project_paths import project_paths_join as ppj
from src.library.compute_moments import _replace_nans
from src.library.compute_moments import calc_restricted_choice_probabilities
from src.library.compute_moments import calc_restricted_wage_distribution
from src.library.compute_moments import calc_unrestricted_choice_probabilities
from src.library.compute_moments import calc_unrestricted_wage_distribution
from src.library.compute_moments import calc_very_restricted_choice_probabilities
from src.library.compute_moments import calc_very_restricted_wage_distribution
from src.library.housekeeping import _load_pickle
from src.library.housekeeping import _temporary_working_directory
from tqdm import tqdm
def get_bivariate_distribution(params, crit_func, grid_delta, grid_beta):
"""Compute value of criterion function.
Args:
params (pd.DataFrame): DataFrame containing model parameters.
crit_func (dict): Dictionary containing model options.
grid_delta (np.array): Values of discount factor.
grid_beta (np.array): Values of present-bias parameter.
Returns:
pd.DataFrame
"""
results = []
for beta, delta in tqdm(itertools.product(grid_beta, grid_delta)):
params_ = params.copy()
params_.loc[("beta", "beta"), "value"] = beta
params_.loc[("delta", "delta"), "value"] = delta
val = crit_func(params_)
result = {"beta": beta, "delta": delta, "val": val}
results.append(result)
return pd.DataFrame.from_dict(results)
if __name__ == "__main__":
# load params
params = pd.read_csv(
ppj("IN_MODEL_SPECS", "params_hyp.csv"),
sep=";",
index_col=["category", "name"],
)
params["value"] = params["value"].astype(float)
# load options
with open(ppj("IN_MODEL_SPECS", "options_hyp.yaml")) as options:
options = yaml.safe_load(options)
# get empirical moments
empirical_moments = _load_pickle(ppj("OUT_ANALYSIS", "msm_estimation", "moments_hyp.pickle"))
# get weighting matrix
weighting_matrix = _load_pickle(
ppj("OUT_ANALYSIS", "msm_estimation", "weighting_matrix_hyp.pickle")
)
calc_moments = {
"Choice Probabilities Very Restricted": calc_very_restricted_choice_probabilities,
"Choice Probabilities Restricted": calc_restricted_choice_probabilities,
"Choice Probabilities Unrestricted": calc_unrestricted_choice_probabilities,
"Wage Distribution Very Restricted": calc_very_restricted_wage_distribution,
"Wage Distribution Restricted": calc_restricted_wage_distribution,
"Wage Distribution Unrestricted": calc_unrestricted_wage_distribution,
}
with _temporary_working_directory(snippet="heatmap"):
# get criterion function
weighted_sum_squared_errors = rp.get_moment_errors_func(
params=params,
options=options,
calc_moments=calc_moments,
replace_nans=_replace_nans,
empirical_moments=empirical_moments,
weighting_matrix=weighting_matrix,
)
# get bivariate distribution results
results = get_bivariate_distribution(
crit_func=weighted_sum_squared_errors,
params=params,
grid_delta=np.arange(0.945, 0.9625, 0.0025),
grid_beta=np.arange(0.75, 1.05, 0.01),
)
results.to_csv(ppj("OUT_ANALYSIS", "heatmap.csv"))
| 36.703704 | 97 | 0.726791 |
07cdddcbeb3cb4de7a49a05fd2f00ba890200e08 | 180 | py | Python | space_game/events/KeyPressedEvent.py | Iwomichu/probable-giggle | 2af5ed83a60d65ec9d509c217cb5fcb880d5dbcc | [
"MIT"
] | 1 | 2020-11-30T11:21:21.000Z | 2020-11-30T11:21:21.000Z | space_game/events/KeyPressedEvent.py | Iwomichu/probable-giggle | 2af5ed83a60d65ec9d509c217cb5fcb880d5dbcc | [
"MIT"
] | 5 | 2020-11-03T16:46:49.000Z | 2021-01-24T14:29:24.000Z | space_game/events/KeyPressedEvent.py | Iwomichu/probable-giggle | 2af5ed83a60d65ec9d509c217cb5fcb880d5dbcc | [
"MIT"
] | null | null | null | from dataclasses import dataclass
from space_game.domain_names import KeyId
from space_game.events.Event import Event
| 18 | 41 | 0.822222 |
07cebbfa2f7886d8fbfa5e82f77ae6da2ef52744 | 703 | py | Python | src/oncall/messengers/teams_messenger.py | navoday-91/oncall | 0a977f06bbf308978d0d2c2b46e0aca23937ca9a | [
"BSD-2-Clause"
] | 857 | 2017-05-03T00:59:10.000Z | 2022-03-29T06:45:23.000Z | src/oncall/messengers/teams_messenger.py | navoday-91/oncall | 0a977f06bbf308978d0d2c2b46e0aca23937ca9a | [
"BSD-2-Clause"
] | 142 | 2017-05-03T02:00:58.000Z | 2022-03-25T20:58:11.000Z | src/oncall/messengers/teams_messenger.py | navoday-91/oncall | 0a977f06bbf308978d0d2c2b46e0aca23937ca9a | [
"BSD-2-Clause"
] | 218 | 2017-05-03T02:04:56.000Z | 2022-03-25T18:28:04.000Z | import pymsteams
import logging
from oncall.constants import TEAMS_SUPPORT
| 30.565217 | 91 | 0.651494 |
07cf43823d8f9a2b976bcf3456b4ba03ebef67d9 | 11,632 | py | Python | python/chronos/src/bigdl/chronos/autots/model/auto_prophet.py | Laniakea94/BigDL | 4d01734086dda893a7f08ba53251dc3c5c8ecfd1 | [
"Apache-2.0"
] | 3 | 2021-07-14T01:28:47.000Z | 2022-03-02T01:16:32.000Z | python/chronos/src/bigdl/chronos/autots/model/auto_prophet.py | liangs6212/BigDL | 3c89ff7e8bbdc713110536c18099506811cd2b3a | [
"Apache-2.0"
] | null | null | null | python/chronos/src/bigdl/chronos/autots/model/auto_prophet.py | liangs6212/BigDL | 3c89ff7e8bbdc713110536c18099506811cd2b3a | [
"Apache-2.0"
] | null | null | null | # +
#
# Copyright 2016 The BigDL Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either exp'
# ress or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import pandas as pd
import warnings
from bigdl.chronos.model.prophet import ProphetBuilder, ProphetModel
from bigdl.chronos.autots.utils import recalculate_n_sampling
# -
| 48.066116 | 121 | 0.616145 |
07cfa7c073692f7ff81f78defb2e3541ec3803be | 13,313 | py | Python | nf/flows.py | arita37/normalizing-flows | c9896656bfd2007b0c17b801c0fe068560127301 | [
"MIT"
] | 1 | 2019-11-11T05:40:30.000Z | 2019-11-11T05:40:30.000Z | nf/flows.py | arita37/normalizing-flows | c9896656bfd2007b0c17b801c0fe068560127301 | [
"MIT"
] | null | null | null | nf/flows.py | arita37/normalizing-flows | c9896656bfd2007b0c17b801c0fe068560127301 | [
"MIT"
] | null | null | null | import math
import numpy as np
import scipy as sp
import scipy.linalg
import torch
import torch.nn as nn
import torch.nn.init as init
import torch.nn.functional as F
from nf.utils import unconstrained_RQS
# supported non-linearities: note that the function must be invertible
functional_derivatives = {
torch.tanh: lambda x: 1 - torch.pow(torch.tanh(x), 2),
F.leaky_relu: lambda x: (x > 0).type(torch.FloatTensor) + \
(x < 0).type(torch.FloatTensor) * -0.01,
F.elu: lambda x: (x > 0).type(torch.FloatTensor) + \
(x < 0).type(torch.FloatTensor) * torch.exp(x)
}
| 35.312997 | 80 | 0.533539 |
07d1d3b232129762c8438710d6931bc551a36122 | 5,286 | py | Python | ioos_qc/config_creator/fx_parser.py | HakaiInstitute/ioos_qc | dfb28ee404a17c8355747b792fba0471093953c4 | [
"Apache-2.0"
] | null | null | null | ioos_qc/config_creator/fx_parser.py | HakaiInstitute/ioos_qc | dfb28ee404a17c8355747b792fba0471093953c4 | [
"Apache-2.0"
] | null | null | null | ioos_qc/config_creator/fx_parser.py | HakaiInstitute/ioos_qc | dfb28ee404a17c8355747b792fba0471093953c4 | [
"Apache-2.0"
] | 1 | 2021-01-20T23:20:06.000Z | 2021-01-20T23:20:06.000Z | # module pyparsing.py
#
# Copyright (c) 2003-2019 Paul T. McGuire
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
# CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
#
from pyparsing import (
Literal,
Word,
Group,
Forward,
alphas,
alphanums,
Regex,
CaselessKeyword,
Suppress,
delimitedList,
)
import math
import operator
# map operator symbols to corresponding arithmetic operations
epsilon = 1e-12
opn = {
"+": operator.add,
"-": operator.sub,
"*": operator.mul,
"/": operator.truediv,
"^": operator.pow,
}
fn = {
"sin": math.sin,
"cos": math.cos,
"tan": math.tan,
"exp": math.exp,
"abs": abs,
"trunc": lambda a: int(a),
"round": round,
"sgn": lambda a: -1 if a < -epsilon else 1 if a > epsilon else 0,
}
exprStack = []
def BNF():
"""
expop :: '^'
multop :: '*' | '/'
addop :: '+' | '-'
integer :: ['+' | '-'] '0'..'9'+
atom :: PI | E | real | fn '(' expr ')' | '(' expr ')'
factor :: atom [ expop factor ]*
term :: factor [ multop factor ]*
expr :: term [ addop term ]*
"""
# use CaselessKeyword for e and pi, to avoid accidentally matching
# functions that start with 'e' or 'pi' (such as 'exp'); Keyword
# and CaselessKeyword only match whole words
e = CaselessKeyword("E")
pi = CaselessKeyword("PI")
# fnumber = Combine(Word("+-"+nums, nums) +
# Optional("." + Optional(Word(nums))) +
# Optional(e + Word("+-"+nums, nums)))
# or use provided pyparsing_common.number, but convert back to str:
# fnumber = ppc.number().addParseAction(lambda t: str(t[0]))
fnumber = Regex(r"[+-]?\d+(?:\.\d*)?(?:[eE][+-]?\d+)?")
ident = Word(alphas, alphanums + "_$")
plus, minus, mult, div = map(Literal, "+-*/")
lpar, rpar = map(Suppress, "()")
addop = plus | minus
multop = mult | div
expop = Literal("^")
expr = Forward()
expr_list = delimitedList(Group(expr))
# add parse action that replaces the function identifier with a (name, number of args) tuple
fn_call = (ident + lpar - Group(expr_list) + rpar).setParseAction(
lambda t: t.insert(0, (t.pop(0), len(t[0])))
)
atom = (
addop[...]
+ (
(fn_call | pi | e | fnumber | ident).setParseAction(push_first)
| Group(lpar + expr + rpar)
)
).setParseAction(push_unary_minus)
# by defining exponentiation as "atom [ ^ factor ]..." instead of "atom [ ^ atom ]...", we get right-to-left
# exponents, instead of left-to-right that is, 2^3^2 = 2^(3^2), not (2^3)^2.
factor = Forward()
factor <<= atom + (expop + factor).setParseAction(push_first)[...]
term = factor + (multop + factor).setParseAction(push_first)[...]
expr <<= term + (addop + term).setParseAction(push_first)[...]
bnf = expr
return bnf
def eval_fx(fx, stats):
"""Given fx and stats ('min', 'max', 'mean', 'std') return the result"""
_ = BNF().parseString(fx, parseAll=True)
val = evaluate_stack(exprStack[:], stats)
return val
| 31.278107 | 112 | 0.600643 |
07d274563189ebc57a38c1571e12c09ed638080d | 18,828 | py | Python | scanlogger.py | pythonhacker/pyscanlogd | 64d6ad38127243e5c422be7f899ecfa802e1ad21 | [
"BSD-3-Clause"
] | 1 | 2021-04-03T22:15:06.000Z | 2021-04-03T22:15:06.000Z | scanlogger.py | pythonhacker/pyscanlogd | 64d6ad38127243e5c422be7f899ecfa802e1ad21 | [
"BSD-3-Clause"
] | null | null | null | scanlogger.py | pythonhacker/pyscanlogd | 64d6ad38127243e5c422be7f899ecfa802e1ad21 | [
"BSD-3-Clause"
] | 2 | 2020-12-18T20:06:21.000Z | 2021-04-08T02:47:40.000Z | # -- coding: utf-8
#!/usr/bin/env python
"""
pyscanlogger: Port scan detector/logger tool, inspired
by scanlogd {http://www.openwall.com/scanlogd} but with
added ability to log slow port-scans.
Features
1. Detects all stealth (half-open) and full-connect scans.
2. Detects Idle scan and logs it correctly using correlation!
3. Detects SCTP scan.
4. Detects slow port-scans also.
Modification History
Mar 17 2010 - Cleaned up code to publish to google.
Apr 8 2010 - Better detection of TCP full-connect scan without
spurious and incorrect logging. Better logging
functions.
Licensed under GNU GPL v3.0.
"""
import sys, os
import dpkt, pcap
import struct
import socket
import time
import threading
import optparse
import entry
import timerlist
__author__ = "pythonhacker"
__maintainer__ = "pythonhacker"
__version__ = '0.5.1'
__modified__ = 'Thu Apr 8 19:21:11 IST 2010'
# UDP - in progress...
SCAN_TIMEOUT = 5
WEIGHT_THRESHOLD = 25
PIDFILE="/var/run/pyscanlogger.pid"
# TCP flag constants
TH_URG=dpkt.tcp.TH_URG
TH_ACK=dpkt.tcp.TH_ACK
TH_PSH=dpkt.tcp.TH_PUSH
TH_RST=dpkt.tcp.TH_RST
TH_SYN=dpkt.tcp.TH_SYN
TH_FIN=dpkt.tcp.TH_FIN
# Protocols
TCP=dpkt.tcp.TCP
UDP=dpkt.udp.UDP
SCTP=dpkt.sctp.SCTP
get_timestamp = lambda : time.strftime('%Y-%m-%d %H:%M:%S', time.localtime())
ip2quad = lambda x: socket.inet_ntoa(struct.pack('I', x))
scan_ip2quad = lambda scan: map(ip2quad, [scan.src, scan.dst])
if __name__ == '__main__':
main()
| 37.8833 | 132 | 0.468929 |
07d2a6693b06381833978cbf344d430f2c2b518b | 4,539 | py | Python | src/util/util.py | ashleylst/DSDmodel | 4276c832e0335539aef2ae2b33e23719957a3f08 | [
"MIT"
] | 1 | 2021-07-26T17:30:16.000Z | 2021-07-26T17:30:16.000Z | src/util/util.py | ashleylst/DSDmodel | 4276c832e0335539aef2ae2b33e23719957a3f08 | [
"MIT"
] | null | null | null | src/util/util.py | ashleylst/DSDmodel | 4276c832e0335539aef2ae2b33e23719957a3f08 | [
"MIT"
] | 2 | 2020-06-29T15:43:22.000Z | 2021-05-12T08:25:03.000Z | from itertools import combinations
import copy
def check_following_migration(edges, p=0):
"""
:param edges:
:return:
"""
e = copy.copy(edges)
visited = [False for _ in e]
miggroup = []
cnt = -1
for i in range(0, len(e)):
if visited[i]:
continue
e[i] = list(e[i])
e[i][p] = list(e[i][p])
t1 = sorted(e[i][p], key=lambda tup: tup[0])
if not visited[i]:
visited[i] = True
miggroup.append([i])
cnt += 1
for j in range(0, len(e)):
if j != i and not visited[j]:
e[j] = list(e[j])
e[j][p] = list(e[j][p])
t2 = sorted(e[j][p], key=lambda tup: tup[0])
if (t2[0][0] != t1[0][0]) or (t2[1][0] != t1[1][0]):
continue
for num in range(0, len(miggroup[cnt])):
t1 = sorted(e[miggroup[cnt][num]][p], key=lambda tup: tup[0])
if (t1[0][1] + 1 == t2[0][1] and t1[1][1] - 1 == t2[1][1]) \
or (t1[0][1] - 1 == t2[0][1] and t1[1][1] + 1 == t2[1][1]):
visited[j] = True
miggroup[cnt].append(j)
break
return miggroup
def get_absdist(domain1, domain2):
"""
:param domain1:
:param domain2:
:return:
"""
return abs(domain1[1] - domain2[1])
def get_closet_domain_to_target(target, domains):
"""
:param target:
:param domains:
:return:
"""
closet = 10000
closetd = ()
for i in domains:
dist = get_absdist(i, target)
if dist < closet:
closet = dist
closetd = i
return closetd
def get_domains_on_2sides(target1, target2, domains1, domains2):
"""
:param target1:
:param target2:
:param domains1:
:param domains2:
:return:
"""
if target1[0] == domains1[0][0]:
closetd1 = get_closet_domain_to_target(target1, domains1)
elif target2[0] == domains1[0][0]:
closetd1 = get_closet_domain_to_target(target2, domains1)
if target1[0] == domains2[0][0]:
closetd2 = get_closet_domain_to_target(target1, domains2)
elif target2[0] == domains2[0][0]:
closetd2 = get_closet_domain_to_target(target2, domains2)
return closetd1, closetd2
def get_closest_target(domains, targets):
"""
:return:
"""
domains = sorted(domains, key=lambda tup: tup[1])
mindist = 10000
mint = None
for t in targets:
dist = min(get_absdist(t, domains[0]), get_absdist(t, domains[len(domains) - 1]))
if dist < mindist:
mint = t
return mint
| 22.695 | 89 | 0.516193 |
07d5b427e69bdc09287f1c66c02797e0db0b274b | 1,218 | py | Python | examples/question_answering/qa_sparse_train.py | ebell495/nn_pruning | 41263ab898117a639f3f219c23a4cecc8bc0e3f3 | [
"Apache-2.0"
] | 250 | 2021-02-22T15:50:04.000Z | 2022-03-31T08:12:02.000Z | examples/question_answering/qa_sparse_train.py | vuiseng9/nn_pruning | 8f4a14dd63d621483cbc1bc4eb34600d66e9e71b | [
"Apache-2.0"
] | 28 | 2021-02-22T15:54:34.000Z | 2022-03-17T08:57:38.000Z | examples/question_answering/qa_sparse_train.py | vuiseng9/nn_pruning | 8f4a14dd63d621483cbc1bc4eb34600d66e9e71b | [
"Apache-2.0"
] | 31 | 2021-02-22T16:07:17.000Z | 2022-03-28T09:17:24.000Z | # coding=utf-8
# Copyright 2020 The HuggingFace Team All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Sparse Fine-tuning the library models for question answering.
"""
# You can also adapt this script on your own question answering task. Pointers for this are left as comments.
from nn_pruning.sparse_trainer import SparseTrainer
from .qa_train import QATrainer
# SparseTrainer should appear first in the base classes, as its functions must override QATrainer and its base classes (Trainer)
| 43.5 | 128 | 0.769294 |
07d6951331a7c029a2698e9098ae813a023bef49 | 10,729 | py | Python | ironic/drivers/modules/ilo/raid.py | armohamm/ironic | 21093ca886ed736a7a25bf5e71e05d41e132fd2f | [
"Apache-2.0"
] | 2 | 2019-06-17T21:37:53.000Z | 2020-07-11T03:58:39.000Z | ironic/drivers/modules/ilo/raid.py | armohamm/ironic | 21093ca886ed736a7a25bf5e71e05d41e132fd2f | [
"Apache-2.0"
] | 5 | 2019-08-14T06:46:03.000Z | 2021-12-13T20:01:25.000Z | ironic/drivers/modules/ilo/raid.py | armohamm/ironic | 21093ca886ed736a7a25bf5e71e05d41e132fd2f | [
"Apache-2.0"
] | 6 | 2019-06-13T12:49:33.000Z | 2021-04-17T16:33:19.000Z | # Copyright 2018 Hewlett Packard Enterprise Development LP
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
"""
iLO5 RAID specific methods
"""
from ironic_lib import metrics_utils
from oslo_log import log as logging
from oslo_utils import importutils
from ironic.common import exception
from ironic.common.i18n import _
from ironic.common import raid
from ironic.common import states
from ironic.conductor import utils as manager_utils
from ironic import conf
from ironic.drivers import base
from ironic.drivers.modules import deploy_utils
from ironic.drivers.modules.ilo import common as ilo_common
LOG = logging.getLogger(__name__)
CONF = conf.CONF
METRICS = metrics_utils.get_metrics_logger(__name__)
ilo_error = importutils.try_import('proliantutils.exception')
| 45.461864 | 79 | 0.609004 |
07d7992d7ae8299b452c378aa6d4664a38bab354 | 1,252 | py | Python | src/petronia/aid/bootstrap/__init__.py | groboclown/petronia | 486338023d19cee989e92f0c5692680f1a37811f | [
"MIT"
] | 19 | 2017-06-21T10:28:24.000Z | 2021-12-31T11:49:28.000Z | src/petronia/aid/bootstrap/__init__.py | groboclown/petronia | 486338023d19cee989e92f0c5692680f1a37811f | [
"MIT"
] | 10 | 2016-11-11T18:57:57.000Z | 2021-02-01T15:33:43.000Z | src/petronia/aid/bootstrap/__init__.py | groboclown/petronia | 486338023d19cee989e92f0c5692680f1a37811f | [
"MIT"
] | 3 | 2017-09-17T03:29:35.000Z | 2019-06-03T10:43:08.000Z |
"""
Common Petronia imports for bootstrap parts of an extension.
This should be imported along with the `simp` module.
"""
from ...base.bus import (
EventBus,
ListenerRegistrar,
ListenerSetup,
QueuePriority,
ExtensionMetadataStruct,
register_event,
EVENT_WILDCARD,
TARGET_WILDCARD,
QUEUE_EVENT_NORMAL,
QUEUE_EVENT_HIGH,
QUEUE_EVENT_IO,
QUEUE_EVENT_TYPES
)
from ...base.participant import (
create_singleton_identity,
NOT_PARTICIPANT,
)
from ...base.events import (
# These are generally just bootstrap events.
DisposeCompleteEvent,
as_dispose_complete_listener,
RequestDisposeEvent,
as_request_dispose_listener,
SystemStartedEvent,
as_system_started_listener,
)
from ...base.events.bus import (
EventProtectionModel,
GLOBAL_EVENT_PROTECTION,
INTERNAL_EVENT_PROTECTION,
PRODUCE_EVENT_PROTECTION,
CONSUME_EVENT_PROTECTION,
REQUEST_EVENT_PROTECTION,
RESPONSE_EVENT_PROTECTION,
)
from ...core.extensions.api import ANY_VERSION
from ...core.shutdown.api import (
SystemShutdownEvent,
as_system_shutdown_listener,
SystemShutdownFinalizeEvent,
as_system_shutdown_finalize_listener,
TARGET_ID_SYSTEM_SHUTDOWN,
)
| 19.261538 | 60 | 0.747604 |
07d9159827c315605286d46a4f7de494b7d7489e | 3,251 | py | Python | examples/dump-properties.py | zachjweiner/pyopencl | 4e2e4f3150c331680e6d9e36c59290411e4a0c40 | [
"Apache-2.0"
] | 7 | 2020-11-23T09:26:17.000Z | 2021-01-26T08:23:30.000Z | examples/dump-properties.py | zachjweiner/pyopencl | 4e2e4f3150c331680e6d9e36c59290411e4a0c40 | [
"Apache-2.0"
] | null | null | null | examples/dump-properties.py | zachjweiner/pyopencl | 4e2e4f3150c331680e6d9e36c59290411e4a0c40 | [
"Apache-2.0"
] | 1 | 2020-12-14T05:12:10.000Z | 2020-12-14T05:12:10.000Z | import pyopencl as cl
from optparse import OptionParser
parser = OptionParser()
parser.add_option("-s", "--short", action="store_true",
help="don't print all device properties")
(options, args) = parser.parse_args()
for platform in cl.get_platforms():
print(75*"=")
print(platform)
print(75*"=")
if not options.short:
print_info(platform, cl.platform_info)
for device in platform.get_devices():
if not options.short:
print(75*"-")
print(device)
if not options.short:
print(75*"-")
print_info(device, cl.device_info)
ctx = cl.Context([device])
for mf in [
cl.mem_flags.READ_ONLY,
#cl.mem_flags.READ_WRITE,
#cl.mem_flags.WRITE_ONLY
]:
for itype in [
cl.mem_object_type.IMAGE2D,
cl.mem_object_type.IMAGE3D
]:
try:
formats = cl.get_supported_image_formats(ctx, mf, itype)
except:
formats = "<error>"
else:
formats = ", ".join(
"{}-{}".format(
cl.channel_order.to_string(iform.channel_order,
"<unknown channel order 0x%x>"),
str_chd_type(iform.channel_data_type))
for iform in formats)
print("{} {} FORMATS: {}\n".format(
cl.mem_object_type.to_string(itype),
cl.mem_flags.to_string(mf),
formats))
del ctx
| 38.702381 | 83 | 0.450015 |
07da573d0a32afbfa2ea160efcad1a4e21eef4c3 | 42,106 | py | Python | interfaces/acados_template/acados_template/acados_ocp_solver.py | jgillis/acados | 3119e2dda636a8358fbd52247eb0163a167cbc97 | [
"BSD-2-Clause"
] | 1 | 2020-07-30T10:54:35.000Z | 2020-07-30T10:54:35.000Z | interfaces/acados_template/acados_template/acados_ocp_solver.py | jgillis/acados | 3119e2dda636a8358fbd52247eb0163a167cbc97 | [
"BSD-2-Clause"
] | null | null | null | interfaces/acados_template/acados_template/acados_ocp_solver.py | jgillis/acados | 3119e2dda636a8358fbd52247eb0163a167cbc97 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: future_fstrings -*-
#
# Copyright 2019 Gianluca Frison, Dimitris Kouzoupis, Robin Verschueren,
# Andrea Zanelli, Niels van Duijkeren, Jonathan Frey, Tommaso Sartor,
# Branimir Novoselnik, Rien Quirynen, Rezart Qelibari, Dang Doan,
# Jonas Koenemann, Yutao Chen, Tobias Schls, Jonas Schlagenhauf, Moritz Diehl
#
# This file is part of acados.
#
# The 2-Clause BSD License
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
#
# 2. Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.;
#
import sys, os, json
import numpy as np
from ctypes import *
from casadi import CasadiMeta, Function, SX
from copy import deepcopy
from .generate_c_code_explicit_ode import generate_c_code_explicit_ode
from .generate_c_code_implicit_ode import generate_c_code_implicit_ode
from .generate_c_code_gnsf import generate_c_code_gnsf
from .generate_c_code_constraint import generate_c_code_constraint
from .generate_c_code_nls_cost import generate_c_code_nls_cost
from .generate_c_code_external_cost import generate_c_code_external_cost
from .acados_ocp import AcadosOcp
from .acados_model import acados_model_strip_casadi_symbolics
from .utils import is_column, is_empty, casadi_length, render_template, acados_class2dict,\
format_class_dict, ocp_check_against_layout, np_array_to_list, make_model_consistent,\
set_up_imported_gnsf_model
| 40.525505 | 175 | 0.644682 |
07da9e40651ed6fdc8a2ae109d81653125f5c378 | 5,128 | py | Python | noise/estimation/PCA/analyticNoiseEstimation_PCA.py | MaikWischow/Camera-Condition-Monitoring | 910f9192d6309a6803ab76c346269fa5029c38e6 | [
"MIT"
] | 3 | 2021-12-10T14:52:23.000Z | 2022-03-22T08:48:08.000Z | noise/estimation/PCA/analyticNoiseEstimation_PCA.py | MaikWischow/Camera-Condition-Monitoring | 910f9192d6309a6803ab76c346269fa5029c38e6 | [
"MIT"
] | null | null | null | noise/estimation/PCA/analyticNoiseEstimation_PCA.py | MaikWischow/Camera-Condition-Monitoring | 910f9192d6309a6803ab76c346269fa5029c38e6 | [
"MIT"
] | 2 | 2021-12-13T08:12:52.000Z | 2022-01-17T14:00:48.000Z | import numpy as np
import cv2
import sys
import os
import glob
def im2patch(im, pch_size, stride=1):
'''
Transform image to patches.
Input:
im: 3 x H x W or 1 X H x W image, numpy format
pch_size: (int, int) tuple or integer
stride: (int, int) tuple or integer
'''
if isinstance(pch_size, tuple):
pch_H, pch_W = pch_size
elif isinstance(pch_size, int):
pch_H = pch_W = pch_size
else:
sys.exit('The input of pch_size must be a integer or a int tuple!')
if isinstance(stride, tuple):
stride_H, stride_W = stride
elif isinstance(stride, int):
stride_H = stride_W = stride
else:
sys.exit('The input of stride must be a integer or a int tuple!')
C, H, W = im.shape
num_H = len(range(0, H-pch_H+1, stride_H))
num_W = len(range(0, W-pch_W+1, stride_W))
num_pch = num_H * num_W
pch = np.zeros((C, pch_H*pch_W, num_pch), dtype=im.dtype)
kk = 0
for ii in range(pch_H):
for jj in range(pch_W):
temp = im[:, ii:H-pch_H+ii+1:stride_H, jj:W-pch_W+jj+1:stride_W]
pch[:, kk, :] = temp.reshape((C, num_pch))
kk += 1
return pch.reshape((C, pch_H, pch_W, num_pch))
def noise_estimate(im, pch_size=8):
'''
Implement of noise level estimation of the following paper:
Chen G , Zhu F , Heng P A . An Efficient Statistical Method for Image Noise Level Estimation[C]// 2015 IEEE International Conference
on Computer Vision (ICCV). IEEE Computer Society, 2015.
Input:
im: the noise image, H x W x 3 or H x W numpy tensor, range [0,1]
pch_size: patch_size
Output:
noise_level: the estimated noise level
'''
if im.ndim == 3:
im = im.transpose((2, 0, 1))
else:
im = np.expand_dims(im, axis=0)
# image to patch
pch = im2patch(im, pch_size, 3) # C x pch_size x pch_size x num_pch tensor
num_pch = pch.shape[3]
pch = pch.reshape((-1, num_pch)) # d x num_pch matrix
d = pch.shape[0]
mu = pch.mean(axis=1, keepdims=True) # d x 1
X = pch - mu
sigma_X = np.matmul(X, X.transpose()) / num_pch
sig_value, _ = np.linalg.eigh(sigma_X)
sig_value.sort()
for ii in range(-1, -d-1, -1):
tau = np.mean(sig_value[:ii])
if np.sum(sig_value[:ii]>tau) == np.sum(sig_value[:ii] < tau):
return np.sqrt(tau)
def run(imgPath, patchSize, internalNumPatches, dirOut, saveResults=True):
"""
Estimates the standard deviation of (additive white gaussian) noise of image patches.
The noise is estimated patch by patch.
Based on: "An Efficient Statistical Method for Image Noise Level Estimation" (2015)
:param imgPath: Path to the input image.
:param patchSize: Image patch size.
:param internalNumPatches: Internal number of sub-image-patches.
:param dirOut: Directory where to save the noise estimation results.
:param saveResults: Whether to save the estimation results or not.
:return: None
"""
# Load image
img = np.array(cv2.imread(imgPath))
try:
img = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
img = img / 255.0
h, w = img.shape
psize = min(min(patchSize, h), w)
psize -= psize % 2
patch_step = psize
shift_factor = 2
# Result array
estimatedNoiseMap = np.zeros([h, w], dtype=np.int8)
rangex = range(0, w, patch_step)
rangey = range(0, h, patch_step)
for start_x in rangex:
for start_y in rangey:
end_x = start_x + psize
end_y = start_y + psize
if end_x > w:
end_x = w
end_x = shift_factor * ((end_x) // shift_factor)
start_x = end_x - psize
if end_y > h:
end_y = h
end_y = shift_factor * ((end_y) // shift_factor)
start_y = end_y - psize
tileM = img[start_y:end_y, start_x:end_x]
h_, w_ = tileM.shape
sigma = noise_estimate(tileM, internalNumPatches) * 255.0
estimatedNoiseMap[start_y :start_y + h_, start_x : start_x + w_] = sigma
if saveResults:
if dirOut is not None:
imgName = imgPath.split(os.sep)[-1].split(".")[0]
dirOut = os.path.join(dirOut)
if not os.path.exists(dirOut):
os.makedirs(dirOut)
noiseMapPath = os.path.join(dirOut, imgName + ".npz")
if not os.path.exists(noiseMapPath):
np.savez_compressed(noiseMapPath, estimatedNoiseMap)
return estimatedNoiseMap
except:
return None
# Example
# if __name__ == '__main__':
# dirIn = r"../../../data/udacity/img/GT"
# dirOut = r"../../../data/udacity/labels_noise_patchwise/PCA"
# imgFileEnding = ".jpg"
# for imgPath in glob.glob(os.path.join(dirIn, "*" + imgFileEnding)):
# run(imgPath, 128, 8, dirOut) | 34.884354 | 136 | 0.576248 |
07dab8d1754575bc1f3f83e4e0cadea3c8dcd3af | 8,104 | py | Python | src/biotite/application/application.py | claudejrogers/biotite | 3635bc9071506ecb85ddd9b1dbe6a430295e060e | [
"BSD-3-Clause"
] | null | null | null | src/biotite/application/application.py | claudejrogers/biotite | 3635bc9071506ecb85ddd9b1dbe6a430295e060e | [
"BSD-3-Clause"
] | null | null | null | src/biotite/application/application.py | claudejrogers/biotite | 3635bc9071506ecb85ddd9b1dbe6a430295e060e | [
"BSD-3-Clause"
] | null | null | null | # This source code is part of the Biotite package and is distributed
# under the 3-Clause BSD License. Please see 'LICENSE.rst' for further
# information.
__name__ = "biotite.application"
__author__ = "Patrick Kunzmann"
__all__ = ["Application", "AppStateError", "TimeoutError", "VersionError",
"AppState", "requires_state"]
import abc
import time
from functools import wraps
from enum import Flag, auto
def requires_state(app_state):
"""
A decorator for methods of :class:`Application` subclasses that
raises an :class:`AppStateError` in case the method is called, when
the :class:`Application` is not in the specified :class:`AppState`
`app_state`.
Parameters
----------
app_state : AppState
The required app state.
Examples
--------
Raises :class:`AppStateError` when `function` is called,
if :class:`Application` is not in one of the specified states:
>>> @requires_state(AppState.RUNNING | AppState.FINISHED)
... def function(self):
... pass
"""
return decorator
def clean_up(self):
"""
Do clean up work after the application terminates.
PROTECTED: Optionally override when inheriting.
"""
pass
class AppStateError(Exception):
"""
Indicate that the application lifecycle was violated.
"""
pass
class TimeoutError(Exception):
"""
Indicate that the application's timeout expired.
"""
pass
class VersionError(Exception):
"""
Indicate that the application's version is invalid.
"""
pass | 31.169231 | 79 | 0.604516 |
07db7794b6d98e1a7fc4b7e5727cce2c98e1474f | 8,162 | py | Python | python/paddle/tensor/attribute.py | douch/Paddle | 81c40722869935d6e897f4b1aeb6e6f67606188a | [
"Apache-2.0"
] | 1 | 2021-12-27T02:40:41.000Z | 2021-12-27T02:40:41.000Z | python/paddle/tensor/attribute.py | LiYuRio/Paddle | dbd6e2df9d074973b7ee177e2d6b96ed2318008e | [
"Apache-2.0"
] | null | null | null | python/paddle/tensor/attribute.py | LiYuRio/Paddle | dbd6e2df9d074973b7ee177e2d6b96ed2318008e | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import print_function
from ..framework import core
from ..fluid.layer_helper import LayerHelper
from ..fluid.data_feeder import check_variable_and_dtype
# TODO: define functions to get tensor attributes
from ..fluid.layers import rank # noqa: F401
from ..fluid.layers import shape # noqa: F401
import paddle
from paddle import _C_ops
from paddle.static import Variable
from ..fluid.framework import _in_legacy_dygraph, in_dygraph_mode
__all__ = []
def is_complex(x):
"""Return whether x is a tensor of complex data type(complex64 or complex128).
Args:
x (Tensor): The input tensor.
Returns:
bool: True if the data type of the input is complex data type, otherwise false.
Examples:
.. code-block:: python
import paddle
x = paddle.to_tensor([1 + 2j, 3 + 4j])
print(paddle.is_complex(x))
# True
x = paddle.to_tensor([1.1, 1.2])
print(paddle.is_complex(x))
# False
x = paddle.to_tensor([1, 2, 3])
print(paddle.is_complex(x))
# False
"""
if not isinstance(x, (paddle.Tensor, paddle.static.Variable)):
raise TypeError("Expected Tensor, but received type of x: {}".format(
type(x)))
dtype = x.dtype
is_complex_dtype = (dtype == core.VarDesc.VarType.COMPLEX64 or
dtype == core.VarDesc.VarType.COMPLEX128)
return is_complex_dtype
def is_floating_point(x):
"""
Returns whether the dtype of `x` is one of paddle.float64, paddle.float32, paddle.float16, and paddle.bfloat16.
Args:
x (Tensor): The input tensor.
Returns:
bool: True if the dtype of `x` is floating type, otherwise false.
Examples:
.. code-block:: python
import paddle
x = paddle.arange(1., 5., dtype='float32')
y = paddle.arange(1, 5, dtype='int32')
print(paddle.is_floating_point(x))
# True
print(paddle.is_floating_point(y))
# False
"""
if not isinstance(x, (paddle.Tensor, paddle.static.Variable)):
raise TypeError("Expected Tensor, but received type of x: {}".format(
type(x)))
dtype = x.dtype
is_fp_dtype = (dtype == core.VarDesc.VarType.FP32 or
dtype == core.VarDesc.VarType.FP64 or
dtype == core.VarDesc.VarType.FP16 or
dtype == core.VarDesc.VarType.BF16)
return is_fp_dtype
def is_integer(x):
"""Return whether x is a tensor of integeral data type.
Args:
x (Tensor): The input tensor.
Returns:
bool: True if the data type of the input is integer data type, otherwise false.
Examples:
.. code-block:: python
import paddle
x = paddle.to_tensor([1 + 2j, 3 + 4j])
print(paddle.is_integer(x))
# False
x = paddle.to_tensor([1.1, 1.2])
print(paddle.is_integer(x))
# False
x = paddle.to_tensor([1, 2, 3])
print(paddle.is_integer(x))
# True
"""
if not isinstance(x, (paddle.Tensor, paddle.static.Variable)):
raise TypeError("Expected Tensor, but received type of x: {}".format(
type(x)))
dtype = x.dtype
is_int_dtype = (dtype == core.VarDesc.VarType.UINT8 or
dtype == core.VarDesc.VarType.INT8 or
dtype == core.VarDesc.VarType.INT16 or
dtype == core.VarDesc.VarType.INT32 or
dtype == core.VarDesc.VarType.INT64)
return is_int_dtype
def real(x, name=None):
"""
Returns a new tensor containing real values of the input tensor.
Args:
x (Tensor): the input tensor, its data type could be complex64 or complex128.
name (str, optional): The default value is None. Normally there is no need for
user to set this property. For more information, please refer to :ref:`api_guide_Name` .
Returns:
Tensor: a tensor containing real values of the input tensor.
Examples:
.. code-block:: python
import paddle
x = paddle.to_tensor(
[[1 + 6j, 2 + 5j, 3 + 4j], [4 + 3j, 5 + 2j, 6 + 1j]])
# Tensor(shape=[2, 3], dtype=complex64, place=CUDAPlace(0), stop_gradient=True,
# [[(1+6j), (2+5j), (3+4j)],
# [(4+3j), (5+2j), (6+1j)]])
real_res = paddle.real(x)
# Tensor(shape=[2, 3], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
# [[1., 2., 3.],
# [4., 5., 6.]])
real_t = x.real()
# Tensor(shape=[2, 3], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
# [[1., 2., 3.],
# [4., 5., 6.]])
"""
if in_dygraph_mode():
return _C_ops.final_state_real(x)
if _in_legacy_dygraph():
return _C_ops.real(x)
check_variable_and_dtype(x, 'x', ['complex64', 'complex128'], 'real')
helper = LayerHelper('real', **locals())
out = helper.create_variable_for_type_inference(
dtype=_complex_to_real_dtype(helper.input_dtype()))
helper.append_op(type='real', inputs={'X': x}, outputs={'Out': out})
return out
def imag(x, name=None):
"""
Returns a new tensor containing imaginary values of input tensor.
Args:
x (Tensor): the input tensor, its data type could be complex64 or complex128.
name (str, optional): The default value is None. Normally there is no need for
user to set this property. For more information, please refer to :ref:`api_guide_Name` .
Returns:
Tensor: a tensor containing imaginary values of the input tensor.
Examples:
.. code-block:: python
import paddle
x = paddle.to_tensor(
[[1 + 6j, 2 + 5j, 3 + 4j], [4 + 3j, 5 + 2j, 6 + 1j]])
# Tensor(shape=[2, 3], dtype=complex64, place=CUDAPlace(0), stop_gradient=True,
# [[(1+6j), (2+5j), (3+4j)],
# [(4+3j), (5+2j), (6+1j)]])
imag_res = paddle.imag(x)
# Tensor(shape=[2, 3], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
# [[6., 5., 4.],
# [3., 2., 1.]])
imag_t = x.imag()
# Tensor(shape=[2, 3], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
# [[6., 5., 4.],
# [3., 2., 1.]])
"""
if in_dygraph_mode():
return _C_ops.final_state_imag(x)
if _in_legacy_dygraph():
return _C_ops.imag(x)
check_variable_and_dtype(x, 'x', ['complex64', 'complex128'], 'imag')
helper = LayerHelper('imag', **locals())
out = helper.create_variable_for_type_inference(
dtype=_complex_to_real_dtype(helper.input_dtype()))
helper.append_op(type='imag', inputs={'X': x}, outputs={'Out': out})
return out
| 33.178862 | 115 | 0.590787 |
07dedb4b0df0aef6400f3a4ca8f79f22e2a6cabd | 2,990 | py | Python | appcodec.py | guardhunt/TelemterRC | 679f99b317ecc6cbef6e022ae861cde18594f6a0 | [
"MIT"
] | null | null | null | appcodec.py | guardhunt/TelemterRC | 679f99b317ecc6cbef6e022ae861cde18594f6a0 | [
"MIT"
] | null | null | null | appcodec.py | guardhunt/TelemterRC | 679f99b317ecc6cbef6e022ae861cde18594f6a0 | [
"MIT"
] | null | null | null | import evdev
import time
import struct
| 37.375 | 262 | 0.585619 |
07dee507ce31e115b2b94a29d53cdc5c3d4bd0df | 2,316 | py | Python | scripts/examples/OpenMV/16-Codes/find_barcodes.py | jiskra/openmv | a0f321836f77f94d8118910598dcdb79eb784d58 | [
"MIT"
] | 1,761 | 2015-07-10T23:14:17.000Z | 2022-03-30T07:49:49.000Z | scripts/examples/OpenMV/16-Codes/find_barcodes.py | jiskra/openmv | a0f321836f77f94d8118910598dcdb79eb784d58 | [
"MIT"
] | 487 | 2015-07-07T23:21:20.000Z | 2022-03-30T17:13:22.000Z | scripts/examples/OpenMV/16-Codes/find_barcodes.py | jiskra/openmv | a0f321836f77f94d8118910598dcdb79eb784d58 | [
"MIT"
] | 882 | 2015-08-01T08:34:19.000Z | 2022-03-30T07:36:23.000Z | # Barcode Example
#
# This example shows off how easy it is to detect bar codes using the
# OpenMV Cam M7. Barcode detection does not work on the M4 Camera.
import sensor, image, time, math
sensor.reset()
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.VGA) # High Res!
sensor.set_windowing((640, 80)) # V Res of 80 == less work (40 for 2X the speed).
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False) # must turn this off to prevent image washout...
sensor.set_auto_whitebal(False) # must turn this off to prevent image washout...
clock = time.clock()
# Barcode detection can run at the full 640x480 resolution of your OpenMV Cam's
# OV7725 camera module. Barcode detection will also work in RGB565 mode but at
# a lower resolution. That said, barcode detection requires a higher resolution
# to work well so it should always be run at 640x480 in grayscale...
while(True):
clock.tick()
img = sensor.snapshot()
codes = img.find_barcodes()
for code in codes:
img.draw_rectangle(code.rect())
print_args = (barcode_name(code), code.payload(), (180 * code.rotation()) / math.pi, code.quality(), clock.fps())
print("Barcode %s, Payload \"%s\", rotation %f (degrees), quality %d, FPS %f" % print_args)
if not codes:
print("FPS %f" % clock.fps())
| 35.090909 | 121 | 0.638169 |
07df8ef3eee337410a8a9059f852b86e3f074f99 | 102 | py | Python | Python/factorial.py | devaslooper/Code-Overflow | d7d55ea0f5015bccb5c4100c4240464fcda8504a | [
"MIT"
] | null | null | null | Python/factorial.py | devaslooper/Code-Overflow | d7d55ea0f5015bccb5c4100c4240464fcda8504a | [
"MIT"
] | null | null | null | Python/factorial.py | devaslooper/Code-Overflow | d7d55ea0f5015bccb5c4100c4240464fcda8504a | [
"MIT"
] | null | null | null | n=int(input("Enter number "))
fact=1
for i in range(1,n+1):
fact=fact*i
print("Factorial is ",fact)
| 17 | 29 | 0.666667 |
07e01a30113159cdf23415b99ef5107294e27bab | 606 | py | Python | mundo 3/099.py | thiagofreitascarneiro/Curso-de-Python---Curso-em-Video | 0342e482780b5a1c6f78cddd51d9bfad785c79fa | [
"MIT"
] | 1 | 2021-08-04T13:21:22.000Z | 2021-08-04T13:21:22.000Z | mundo 3/099.py | thiagofreitascarneiro/Curso-de-Python---Curso-em-Video | 0342e482780b5a1c6f78cddd51d9bfad785c79fa | [
"MIT"
] | null | null | null | mundo 3/099.py | thiagofreitascarneiro/Curso-de-Python---Curso-em-Video | 0342e482780b5a1c6f78cddd51d9bfad785c79fa | [
"MIT"
] | null | null | null | import time
# O * para desempacotar o paramtro. Permite atribuir inumeros parametros.
maior(2, 1, 7)
maior(5, 4, 7, 9, 2)
maior(1, 4, 7, 20, 2)
maior(0)
| 23.307692 | 76 | 0.544554 |
07e0af37e19269400d7c0cf5ac0dc3b1672e18e4 | 10,752 | py | Python | tests/test_packed_to_padded.py | theycallmepeter/pytorch3d_PBR | bc83c23969ff7843fc05d2da001952b368926174 | [
"BSD-3-Clause"
] | null | null | null | tests/test_packed_to_padded.py | theycallmepeter/pytorch3d_PBR | bc83c23969ff7843fc05d2da001952b368926174 | [
"BSD-3-Clause"
] | null | null | null | tests/test_packed_to_padded.py | theycallmepeter/pytorch3d_PBR | bc83c23969ff7843fc05d2da001952b368926174 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
from common_testing import TestCaseMixin, get_random_cuda_device
from pytorch3d.ops import packed_to_padded, padded_to_packed
from pytorch3d.structures.meshes import Meshes
def _test_padded_to_packed_helper(self, D, device):
"""
Check the results from packed_to_padded and PyTorch implementations
are the same.
"""
meshes = self.init_meshes(16, 100, 300, device=device)
mesh_to_faces_packed_first_idx = meshes.mesh_to_faces_packed_first_idx()
num_faces_per_mesh = meshes.num_faces_per_mesh()
max_faces = num_faces_per_mesh.max().item()
if D == 0:
values = torch.rand((len(meshes), max_faces), device=device)
else:
values = torch.rand((len(meshes), max_faces, D), device=device)
for i, num in enumerate(num_faces_per_mesh):
values[i, num:] = 0
values.requires_grad = True
values_torch = values.detach().clone()
values_torch.requires_grad = True
values_packed = padded_to_packed(
values, mesh_to_faces_packed_first_idx, num_faces_per_mesh.sum().item()
)
values_packed_torch = TestPackedToPadded.padded_to_packed_python(
values_torch,
mesh_to_faces_packed_first_idx,
num_faces_per_mesh.sum().item(),
device,
)
# check forward
self.assertClose(values_packed, values_packed_torch)
# check backward
if D == 0:
grad_inputs = torch.rand((num_faces_per_mesh.sum().item()), device=device)
else:
grad_inputs = torch.rand(
(num_faces_per_mesh.sum().item(), D), device=device
)
values_packed.backward(grad_inputs)
grad_outputs = values.grad
values_packed_torch.backward(grad_inputs)
grad_outputs_torch1 = values_torch.grad
grad_outputs_torch2 = TestPackedToPadded.packed_to_padded_python(
grad_inputs, mesh_to_faces_packed_first_idx, values.size(1), device=device
)
self.assertClose(grad_outputs, grad_outputs_torch1)
self.assertClose(grad_outputs, grad_outputs_torch2)
| 39.384615 | 89 | 0.628255 |
07e0ba1b41406f219565825c5f80d1ee0cfaded5 | 8,638 | py | Python | easyric/tests/test_io_geotiff.py | HowcanoeWang/EasyRIC | a3420bc7b1e0f1013411565cf0e66dd2d2ba5371 | [
"MIT"
] | 12 | 2021-01-25T07:11:52.000Z | 2022-02-14T11:57:03.000Z | easyric/tests/test_io_geotiff.py | HowcanoeWang/EasyRIC | a3420bc7b1e0f1013411565cf0e66dd2d2ba5371 | [
"MIT"
] | null | null | null | easyric/tests/test_io_geotiff.py | HowcanoeWang/EasyRIC | a3420bc7b1e0f1013411565cf0e66dd2d2ba5371 | [
"MIT"
] | null | null | null | import pyproj
import pytest
import numpy as np
from easyric.io import geotiff, shp
from skimage.io import imread
from skimage.color import rgb2gray
import matplotlib.pyplot as plt
| 37.232759 | 117 | 0.683376 |
07e0cae8b52445fc39f360d69691eeb8e3e8f35e | 9,833 | py | Python | src/ebay_rest/api/buy_marketplace_insights/models/item_location.py | matecsaj/ebay_rest | dd23236f39e05636eff222f99df1e3699ce47d4a | [
"MIT"
] | 3 | 2021-12-12T04:28:03.000Z | 2022-03-10T03:29:18.000Z | src/ebay_rest/api/buy_marketplace_insights/models/item_location.py | jdavv/ebay_rest | 20fc88c6aefdae9ab90f9c1330e79abddcd750cd | [
"MIT"
] | 33 | 2021-06-16T20:44:36.000Z | 2022-03-30T14:55:06.000Z | src/ebay_rest/api/buy_marketplace_insights/models/item_location.py | jdavv/ebay_rest | 20fc88c6aefdae9ab90f9c1330e79abddcd750cd | [
"MIT"
] | 7 | 2021-06-03T09:30:23.000Z | 2022-03-08T19:51:33.000Z | # coding: utf-8
"""
Marketplace Insights API
<a href=\"https://developer.ebay.com/api-docs/static/versioning.html#limited\" target=\"_blank\"> <img src=\"/cms/img/docs/partners-api.svg\" class=\"legend-icon partners-icon\" title=\"Limited Release\" alt=\"Limited Release\" />(Limited Release)</a> The Marketplace Insights API provides the ability to search for sold items on eBay by keyword, GTIN, category, and product and returns the of sales history of those items. # noqa: E501
OpenAPI spec version: v1_beta.2.2
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
def to_str(self):
"""Returns the string representation of the model"""
return pprint.pformat(self.to_dict())
def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, ItemLocation):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other
| 34.992883 | 442 | 0.616699 |
07e1c7308c17fb9509fe646f19b12d537b946ccf | 502 | py | Python | fractionalKnapsack.py | aadishgoel2013/Algos-with-Python | 19541607c8ede9a76a8cbbe047e01343080cfd5b | [
"Apache-2.0"
] | 6 | 2017-11-12T05:13:27.000Z | 2022-03-13T07:58:31.000Z | fractionalKnapsack.py | aadishgoel2013/Algos-with-Python | 19541607c8ede9a76a8cbbe047e01343080cfd5b | [
"Apache-2.0"
] | null | null | null | fractionalKnapsack.py | aadishgoel2013/Algos-with-Python | 19541607c8ede9a76a8cbbe047e01343080cfd5b | [
"Apache-2.0"
] | null | null | null | # Fractional Knapsack
wt = [40,50,30,10,10,40,30]
pro = [30,20,20,25,5,35,15]
n = len(wt)
data = [ (i,pro[i],wt[i]) for i in range(n) ]
bag = 100
data.sort(key=lambda x: x[1]/x[2], reverse=True)
profit=0
ans=[]
i=0
while i<n:
if data[i][2]<=bag:
bag-=data[i][2]
ans.append(data[i][0])
profit+=data[i][1]
i+=1
else:
break
if i<n:
ans.append(data[i][0])
profit += (bag*data[i][1])/data[i][2]
print(profit,ans)
| 17.310345 | 49 | 0.498008 |
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