content
stringlengths 1
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sequencelengths 1
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| ratio_char_token
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int64 1
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|---|---|---|---|
# -*- coding: utf-8 -*-
# space level: 4
"""this module is the most importing in thie app.
"""
from dserver import ServerSocket as server
from config import ConfManage as conf
if __name__ == "__main__":
# would manage conf class
hostdata = conf("./conf/base.json")
hostdata.setup_logging()
server = server()
server.standby_server()
server.accept_client()
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from . import db
# Add your own utility classes and functions here.
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'''
Search Controller Module
'''
import math
from bson.json_util import dumps
from flask import current_app
from datetime import datetime
from app.models.mongodb.posts import Posts
from app.models.mongodb.user import User
from app.models.mongodb.search_log import SearchLog
def v1_search(mongo_cur, keywords, order, user=None, rank_filter=True):
'''
Search (๊ฒ์)
Params
---------
mongo_cur > ๋ชฝ๊ณ ๋๋น ์ปค๋ฅ์
Object
keywords > ๊ฒ์ ํค์๋
skip > Document num skip
limit > Document num limit
order > sort order
Return
---------
posts > ํฌ์คํธ (list)
'''
posts_model = Posts(mongo_cur)
TK = current_app.config["TK"]
# ํ๋ณด๊ตฐ ์ ์
keyword_split = keywords.lower().strip().split()
keyword_tokens = list(set(TK.get_tk(keywords) + keyword_split))
posts = posts_model.search_posts(keywords,
keyword_tokens,
current_app.config['INDICATORS']['GET_SC_POST_NUM'])
# ๋ก๊น
์์
search_log_model = SearchLog(mongo_cur)
User_model = User(mongo_cur)
log_object = {'keyword_split': keyword_split,
'keyword_tokens': keyword_tokens,
'date': datetime.now()}
if user:
log_object['user_id'] = user['user_id']
User_model.update_list_column_push(user['user_id'], "search_list", log_object)
else:
log_object['user_id'] = "guest"
search_log_model.insert_one(log_object)
# ์ ์ฌ๋ ์ธก์
set_keyword_tokens = set(keyword_tokens)
for post in posts:
post['score'] = 0
# ๊ฐ ์์ญ๋ณ ๋งค์นญ ์ ์ฌ๋ ํ๊ฐ (ํ์ฌ t_index๊ฐ ์๋ ๊ด๊ณ๋ก title_token, token ๋๊ฐ์ ์ปฌ๋ผ์ผ๋ก ์งํํจ)
weight = {'title_token': current_app.config['INDICATORS']['TITLE_WEIGHT'],
'token': current_app.config['INDICATORS']['TOKEN_WEIGHT']}
for _type in ['title_token', 'token']:
point = weight[_type]
set_post_tokens = set(post[_type])
post['score'] += match_score(set_keyword_tokens, set_post_tokens) * point
# regex ๋งค์นญ ์ต์ข
์ ์ฌ๋ ํ๊ฐ (ํ์ฌ regex_str์ด ์๋ ๊ด๊ณ๋ก title์ ๊ธฐ์ค์ผ๋ก ํ๋จ)
point = current_app.config['INDICATORS']['REGEX_WEIGHT']
if keywords in post['title']:
post['score'] = (post['score'] * point) + 2
# ๋ฐํ ์ปฌ๋ผ ์ ๋ฆฌ
del post['token']
del post['title_token']
# ์ตํ์ ๋ญํน ์ ๊ฑฐ
posts.sort(key=lambda t:(-t['score']))
if (rank_filter is True and
len(posts) != 0 and
posts[0]['score'] != posts[-1]['score'] and
posts[-1]['score'] <= current_app.config['INDICATORS']['LOWEST_RANK']):
target = get_first_min(posts,
0,
len(posts)-1,
current_app.config['INDICATORS']['LOWEST_RANK'])
posts = posts[:target]
# ์ ๋ ฌ ์ ํ
if order == 1:
posts.sort(key=lambda x:x['date'], reverse=True)
return {'posts': dumps(posts[:current_app.config['INDICATORS']['RETURN_NUM']]),
'length': len(posts)}
def match_score(set_keyword_tokens, set_post_tokens):
'''
๊ฒ์ ์ ์ฌ๋ ํ๊ฐ ์์
Params
---------
set_keyword_tokens > ๊ฒ์ ํค์๋ ํ ํฐ
set_post_tokens > Post ํ ํฐ
Return
---------
๊ฒฐ๊ณผ ์ ์ (int)
'''
mc = len(set_keyword_tokens & set_post_tokens)
if len(set_keyword_tokens) != 0:
mr = mc / len(set_keyword_tokens)
else:
mr = mc / 1
return mc * (1 + mr + math.floor(mr))
def get_first_min(data, s, e, target):
'''
์ตํ์ ํ์ง (Binary search)
Params
---------
data > Post_list
s > post ์์ idx
e > post ๋ idx
target > ์ตํ์ ๋ญํฌ ์ ์
Return
---------
์ตํ์ ๊ฒฐ๊ณผ index (int)
'''
if s > e: return None
mid = (s + e) // 2
if mid <= 0: return None
if (data[mid-1]['score'] > target and
data[mid]['score'] <= target):
return mid
elif (data[mid-1]['score'] > target and
data[mid]['score'] > target):
return get_first_min(data, mid+1, e, target)
else:
return get_first_min(data, s, mid-1, target) | [
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] | 1.780157 | 2,288 |
# Copyright 2017 ZTE Corporation.
#
# 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 django.conf.urls import url
from mgr.samples import views
urlpatterns = [
url(r'^samples/$', views.SampleList.as_view()),
url(r'^api/vnfmgr/v1/reloadstub/(?P<fileName>[0-9a-zA-Z\-\_\.]+)$', views.reloadstub, name='reloadstub'),
url(r'^api/vnfmgr/v1/reg2msb/(?P<msName>[0-9a-zA-Z\-\_]+)$', views.reg2msb, name='reg2msb'),
url(r'^(?P<uri>[0-9a-zA-Z\-\_/]+)$', views.stub, name='stub')
]
| [
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] | 2.681081 | 370 |
# Jan28Report on General Accureacy #####################################################################################
# date = 'Jan-23-2020-22-N-noneSpark-R0-noOpt'
# notes = 'noneSpark-R0-noOpt'
# date = 'Jan-23-2020-21-N-UseSpark-R0-noOpt'
# notes = 'UseSpark-R0-noOpt'
# date = 'Jan-24-2020-2-N-UseSpark-R1-noOpt'
# notes = 'UseSpark-R1-noOpt'
# date = 'Jan-23-2020-22-N-noneSpark-R0-noOpt'
# notes = 'noneSpark-R0-noOpt'
# date = 'Jan-24-2020-3-N-UseSpark-R1-bsfKimOnly'
# notes = 'UseSpark-R1-bsfKimOnly'
# Jan31Report on TraditionalDTW+LBOpt vs. FastDTW+NoOpt#################################################################
# date = 'Jan-30-2020-12-N-UseSpark-R1-noOptFastDTW_numSample400'
# notes = 'UseSpark-R1-noOptFastDTW_numSample400'
date = 'Jan-30-2020-15-N-UseSpark-R1-LBOptNormalDTW_numSample400'
notes = 'UseSpark-R1-LBOptNormalDTW_numSample400'
# paa_data folder is /home/apocalyvec/PycharmProjects/Genex/genex/experiments/results/
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] | 2.483117 | 385 |
from typing import Tuple, Any, Union, List
import scipy.stats
from pandas import Series, DataFrame
from pandas.core.generic import NDFrame
from scipy.stats import zscore
from IMLearn.learners.regressors import PolynomialFitting
from IMLearn.utils import split_train_test
import numpy as np
import pandas as pd
import plotly.express as px
import plotly.io as pio
Q2_SCATTER_PLOT_TITLE = ("Temperature in Israel as a function of Day of "
"year, 1995-2007")
Q2_BAR_PLOT_TITLE = ("Standard Deviation of temperature in Israel for each "
"month, 1996-2007")
Q4_PRINT_FORMAT = "k={},loss={}"
Q4_BAR_PLOT_TITLE = ("Loss values as a function of the degree (1 <= k <= 10) "
"of the polynomial fit")
Q5_BAR_PLOT_TITLE = ("Loss of Polynomial fit of degree {} trained on "
"Israel as a function of all other countries")
COUNTRY_ISRAEL = "Israel"
COUNTRY_NETHERLANDS = "The Netherlands"
COUNTRY_SOUTH_AFRICA = "South Africa"
COUNTRY_JORDAN = "Jordan"
COL_STD = "std"
COL_MEAN = "mean"
COL_YEAR = "Year"
COL_TEMP = "Temp"
COL_DAY_OF_YEAR = "DayOfYear"
COL_DATE = "Date"
COL_MONTH = "Month"
COL_COUNTRY = "Country"
CITY_TEMPERATURE_CSV_PATH = "../datasets/City_Temperature.csv"
pio.templates.default = "simple_white"
def load_data(filename: str) -> pd.DataFrame:
"""
Load city daily temperature dataset and preprocess loaded_data.
Parameters
----------
filename: str
Path to house prices dataset
Returns
-------
Design matrix and response vector (Temp)
"""
loaded_data = pd.read_csv(filename, parse_dates=[COL_DATE])
loaded_data = clean_data(loaded_data)
loaded_data = process_features(loaded_data)
loaded_data = loaded_data.drop([COL_DATE], axis=1)
return loaded_data
def clean_data(X: pd.DataFrame) -> pd.DataFrame:
"""
Cleans the given data from extreme anomalies
"""
X["zscore"] = zscore(X[COL_TEMP])
X = X.drop(X[(X.zscore <= -3) | (X.zscore >= 3)].index)
X = X.drop(["zscore"], axis=1)
X = X.drop(X[X.Year <= 0].index)
X = X.drop(X[(X.Month <= 0) | (X.Month >= 13)].index)
X = X.drop(X[(X.Day <= 0) | (X.Day >= 32)].index)
return X
def process_features(X: pd.DataFrame) -> pd.DataFrame:
"""
Performs a basic processing of the given data
"""
X[COL_DAY_OF_YEAR] = X[COL_DATE].dt.dayofyear
X[COL_YEAR] = X[COL_YEAR].astype(str)
return X
def explore_data_for_specific_country(
country_name: str, full_data: DataFrame) -> None:
"""
Explores the data of a given country in the data.
"""
country_data = get_country_data(country_name, full_data)
px.scatter(country_data, x=COL_DAY_OF_YEAR, y=COL_TEMP, color=COL_YEAR,
title=Q2_SCATTER_PLOT_TITLE).show()
std_per_month = country_data.groupby(COL_MONTH).Temp.agg(np.std)
px.bar(std_per_month, title=Q2_BAR_PLOT_TITLE).show()
def get_country_data(country_name: str, full_data: pd.DataFrame) -> DataFrame:
"""
Returns a subset the given data that contains samples only from the given
country.
"""
return full_data[full_data[COL_COUNTRY] == country_name]
def explore_differences_between_countries(full_data: pd.DataFrame) -> None:
"""
Explores the differences between the countries.
"""
std_and_mean_per_country_and_month = full_data.groupby(
[COL_COUNTRY, COL_MONTH]).Temp.agg([np.mean, np.std])
px.line(std_and_mean_per_country_and_month,
x=std_and_mean_per_country_and_month.index.get_level_values(1),
y=COL_MEAN,
color=std_and_mean_per_country_and_month.index.get_level_values(0),
error_y=COL_STD).show()
def fit_model_for_different_pol_deg(
min_k: int, max_k: int, country_name: str,
full_data: DataFrame) -> None:
"""
Fits a model (Polyfit) to a given country with different polynomial
degrees.
"""
country_data = get_country_data(country_name, full_data)
train_x, train_y, test_x, test_y = split_train_test(
country_data.drop([COL_TEMP], axis=1),
country_data[COL_TEMP]
)
loss_values = list()
for k in range(min_k, max_k + 1):
polyfit = PolynomialFitting(k)
polyfit.fit(train_x[COL_DAY_OF_YEAR], np.array(train_y))
loss = polyfit.loss(test_x[COL_DAY_OF_YEAR], np.array(test_y))
rounded_loss = round(loss, 2)
print(Q4_PRINT_FORMAT.format(k, rounded_loss))
loss_values.append(rounded_loss)
px.bar(x=range(min_k, max_k + 1), y=loss_values,
title=Q4_BAR_PLOT_TITLE).show()
def evaluate_fitted_model_on_different_countries(
chosen_k: int, original_country_name: str,
full_data: DataFrame, other_countries: List) -> None:
"""
Evaluates a fitted model of the given country on the given other
countries.
"""
original_country_data = get_country_data(original_country_name, full_data)
countries_losses = list()
polyfit = PolynomialFitting(chosen_k)
polyfit.fit(original_country_data[COL_DAY_OF_YEAR],
original_country_data[COL_TEMP])
for country in other_countries:
country_data = data[data[COL_COUNTRY] == country]
country_loss = polyfit.loss(country_data[COL_DAY_OF_YEAR],
country_data[COL_TEMP])
countries_losses.append(country_loss)
px.bar(x=other_countries, y=countries_losses,
title=Q5_BAR_PLOT_TITLE.format(chosen_k)).show()
if __name__ == '__main__':
np.random.seed(0)
# Question 1 - Load and preprocessing of city temperature dataset
data = load_data(CITY_TEMPERATURE_CSV_PATH)
# Question 2 - Exploring data for specific country
explore_data_for_specific_country(COUNTRY_ISRAEL, data)
# Question 3 - Exploring differences between countries
explore_differences_between_countries(data)
# Question 4 - Fitting model for different values of `k`
fit_model_for_different_pol_deg(1, 10, COUNTRY_ISRAEL, data)
# Question 5 - Evaluating fitted model on different countries
evaluate_fitted_model_on_different_countries(
5, COUNTRY_ISRAEL, data,
[COUNTRY_JORDAN, COUNTRY_SOUTH_AFRICA, COUNTRY_NETHERLANDS]
)
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] | 2.363671 | 2,659 |
import os
from datetime import datetime
from functools import wraps
actions = dict()
@action
@action
@action
# TODO: Remove this before releasing scbt
@action
| [
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] | 3.28 | 50 |
import requests
import json
from bs4 import BeautifulSoup
import urlparse
burp0_url = "https://business.facebook.com/ufi/reaction/profile/browser/fetch/?limit=5000&total_count=5000&ft_ent_identifier=108566350975276&fb_dtsg_ag=AQxhzRLE9rpjfoRo1DHdRZ0DSQntKVunKgX-keo45t7N2Q:AQzSCWY38h7fU8ix7KUq66CzW1lEBK6d7q6b9qF1GVuNZA&__user=100005595064283&__a=1&__dyn=7AgSXghFoHG4Q9UrJDzk2mq2W8GA5FaDJ4WqK4UqwCGawIhEnUzgjGqK5-7oG5VGwJy9pUKbnyorxuF98SmquUuF3e16xqfzQdzoS6pvh4jUXVEO489EGicGdxO3i5VokKm8yElAx6u14xl0zCypHh43Hg-ezFEmUC1uCwDxe6UGq6UpxyWBGHzooAghwyzZ5CG2e4RVo8EiyXxK9z9ooK3m6ogUkBzUy4XCxS58hx2eyojz9eawzCJ1ymiQ2q6po_zoiKm2u10zUCcx22PxuE9kbzUgxCuV8y7EKUymEjyHGiawYyHDhoG26227Rh8C9xl28rgK7lAAAzE4y2O58gyUTyUbUmDwQwxG76u4UgwNx5e8xi8KUoyE-Uqze7Vojxy2q4UrxS0D8888US2m8wHy8C6EG4u11wk8Su6EaE8K&__csr=&__req=6p&__beoa=0&__pc=PHASED:media_manager_pkg&dpr=1&__ccg=GOOD&__rev=1002593526&__s=n5qgcm:rvmawv:n7hifk&__hsi=6866983610963240940-0&__comet_req=0&jazoest=27719&__jssesw=1&ft[tn]=-a"
burp0_cookies = {"datr": "ml9IXWc-hooQAZsZyGngW7lJ", "sb": "ml9IXey4Kv58ugWsRrgQRXp0", "_ga": "GA1.2.214750873.1587879017", "locale": "en_GB", "js_ver": "3892", "m_pixel_ratio": "1", "c_user": "100005595064283", "cppo": "1", "spin": "r.1002593322_b.trunk_t.1598811628_s.1_v.2_", "xs": "21%3AsAWFX-g9ae4V2A%3A2%3A1598775154%3A13272%3A4196%3A%3AAcVcdyV0_LJR0gJjSBqRwuoQhJhaDp_QlOYidiEqYKA", "fr": "1tpMIwMyIepQeqj6i.AWVuLZHlce-HqooJiS_WNa_2Daw.BdwSBm.qI.F9L.0.0.BfTGNk.AWVJSO_U", "presence": "EDvF3EtimeF1598844249EuserFA21B05595064283A2EstateFDt3F_5bDiFA2user_3a1B02305073382A2EoF1EfF1C_5dEutc3F1598844020217G598844020283CEchF_7bCC", "wd": "799x766"}
burp0_headers = {"Connection": "close", "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.83 Safari/537.36", "Viewport-Width": "799", "Content-Type": "application/x-www-form-urlencoded", "Accept": "*/*", "Origin": "https://business.facebook.com", "Sec-Fetch-Site": "same-origin", "Sec-Fetch-Mode": "cors", "Sec-Fetch-Dest": "empty", "Referer": "https://business.facebook.com/creatorstudio/?mode=facebook&content_table=ALL_POSTS&post_status=ALL&tab=content_posts&post_type=ALL&collection_id=free_form_collection", "Accept-Encoding": "gzip, deflate", "Accept-Language": "en-US,en;q=0.9,hi;q=0.8,es;q=0.7,lt;q=0.6"}
list_response = requests.get(burp0_url, headers=burp0_headers, cookies=burp0_cookies)
json_resp = json.loads(list_response.text[9:])
list_html = json_resp["domops"][0][3]["__html"]
soup = BeautifulSoup(list_html, 'html.parser')
peoples_ids_list = soup.findAll("a", {"class":"_42ft _4jy0 _4jy3 _517h _51sy"})
invite_count = len(peoples_ids_list)
print("Inviting "+str(invite_count)+" peoples")
for people_id in peoples_ids_list:
explode = urlparse.parse_qs(urlparse.urlparse(people_id["ajaxify"]).query)
invitee = explode["invitee"][0]
hash_value = explode["hash"][0]
content_id = explode["content_id"][0]
page_id = explode["page_id"][0]
ext = explode["ext"][0]
burp0_url = "https://www.facebook.com:443/pages/post_like_invite/send/"
burp0_data = {"invitee": invitee, "page_id": page_id, "ref": "pages_post_reactor_dialogue", "content_id": content_id, "ext": ext, "hash": hash_value, "__user": "100005595064283", "__a": "1", "__dyn": "7AgSXghFoHG4Q9UrJDzk2mq2W8GA5FaDJ4WqK4UqwCGawIhEnUzgjGqK5-7oG5VGwJy9pUKbnyorxuF98SmquUuF3e16xqfzQdzoS7_h4jUXVEO489EGicGdxO3i5VokKm8yEqx6u14xl0zCypHh43Hg-ezFEmUC1uCwDxe6UGq6UpxyWBGHzooAghwyzZ5CG2e4RVo8EiyXxK9z9ooK3m6ogUkBzUy4XCxS58hx2eyojz9eawzCJ1ymiQ2q6po_zoiKm2u10zUCcx22PxuE9kbzUgxCuV8y7EKUymEjyHGiawYyHDhoG26227Rh8C9xl28rgK7lAAAzE4y2O58gyUTyUbUmDwQwxG76u4UgwNx5e8xi8KUoyE-Uqze7Vojxy2q4UrxS0D8888US2m8wHxa6EG4u11wk8Su6EaE8K", "__csr": '', "__req": "4q", "__beoa": "0", "__pc": "PHASED:media_manager_pkg", "dpr": "1", "__ccg": "GOOD", "__rev": "1002593526", "__s": "2m0lki:rvmawv:n7hifk", "__hsi": "6866983610963240940-0", "__comet_req": "0", "fb_dtsg": "AQFcQOBaGXMB:AQH33OAOqtrg", "jazoest": "21987", "__jssesw": "1"}
response = requests.post(burp0_url, headers=burp0_headers, cookies=burp0_cookies, data=burp0_data)
final_Response = json.loads(response.text[9:])
if final_Response.has_key("error"):
print("Lets refresh our paramter values")
print(final_Response["errorDescription"])
break;
else:
print("Invited successfully...")
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62,
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28,
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15,
62,
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444,
11,
1366,
28,
6236,
79,
15,
62,
7890,
8,
198,
197,
20311,
62,
31077,
796,
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13,
46030,
7,
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13,
5239,
58,
24,
25,
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198,
197,
361,
2457,
62,
31077,
13,
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62,
2539,
7203,
18224,
1,
2599,
198,
197,
197,
4798,
7203,
43,
1039,
14976,
674,
5772,
353,
3815,
4943,
198,
197,
197,
4798,
7,
20311,
62,
31077,
14692,
18224,
11828,
8973,
8,
198,
197,
197,
9032,
26,
198,
197,
17772,
25,
198,
197,
197,
4798,
7203,
19904,
863,
7675,
9313,
8,
220,
220,
198
] | 1.879913 | 2,290 |
from django.db import models
# Create your models here.
| [
6738,
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14208,
13,
9945,
1330,
4981,
198,
198,
2,
13610,
534,
4981,
994,
13,
198
] | 3.5625 | 16 |
"""
*Element*
A CSS Element.
"""
from abc import ABCMeta
| [
37811,
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] | 2.615385 | 26 |
from django.db import models
from django.conf import settings
from django.contrib.auth.models import User , auth
from django.utils import timezone
# Create your models here. | [
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"""Unit tests."""
# pylint: disable=C0116,R0903,E0401,W0703,W1201,redefined-outer-name,missing-function-docstring,E0401,C0114,W0511,W1203,C0200,C0103,W1203
from main import run_main
def test_run_main(
get_args_create_section_processor,
get_args_refresh_links_processor,
get_args_refresh_puml_processor,
get_args_refresh_map_processor,
):
"""logical seq"""
run_main(get_args_create_section_processor + ["http://google.com/docs"])
run_main(get_args_create_section_processor + ["https://cloud.google.com/docs"])
run_main(
get_args_create_section_processor + ["https://cloud.google.com/docs/overview"]
)
run_main(get_args_refresh_map_processor)
run_main(get_args_refresh_links_processor)
run_main(get_args_refresh_puml_processor)
| [
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220,
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8,
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220,
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1136,
62,
22046,
62,
5420,
3447,
62,
79,
388,
75,
62,
41341,
8,
198
] | 2.418462 | 325 |
from imaginarium.storage.utils import create_database_pool
| [
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13,
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13,
26791,
1330,
2251,
62,
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198
] | 4.066667 | 15 |
from .GNNExplainer_ import GNNExplainer_
| [
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62,
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62,
198
] | 2.928571 | 14 |
import unittest
from unittest.mock import patch, MagicMock
from mypy_boto3_builder.import_helpers.internal_import_record import (
InternalImportRecord,
)
from mypy_boto3_builder.import_helpers.import_string import ImportString
| [
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] | 3.106667 | 75 |
from datetime import datetime, timedelta
import numpy
from tradingkit.pubsub.core.event import Event
from tradingkit.pubsub.core.publisher import Publisher
from tradingkit.pubsub.core.subscriber import Subscriber
from tradingkit.pubsub.event.book import Book
from tradingkit.pubsub.event.candle import Candle
from tradingkit.pubsub.event.funding import Funding
from tradingkit.pubsub.event.liquidation import Liquidation
from tradingkit.pubsub.event.open_order import OpenOrder
from tradingkit.pubsub.event.order import Order
from tradingkit.pubsub.event.plot import Plot
from tradingkit.pubsub.event.trade import Trade
| [
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15813,
13,
12984,
7266,
13,
15596,
13,
25351,
1330,
9601,
628
] | 3.664706 | 170 |
import django.db.models.deletion
from django.db import migrations, models
| [
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628
] | 3.26087 | 23 |
import unittest
from namecom import Transfer, Domain
| [
11748,
555,
715,
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198,
198,
6738,
1438,
785,
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20558,
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] | 3.857143 | 14 |
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from msrest.serialization import Model
class SslConfiguration(Model):
"""SSL configuration. If configured data-plane calls to user services will be
exposed over SSL only.
:param status: SSL status. Allowed values are Enabled and Disabled.
Possible values include: 'Enabled', 'Disabled'. Default value: "Enabled" .
:type status: str or ~azure.mgmt.machinelearningcompute.models.Status
:param cert: The SSL cert data in PEM format.
:type cert: str
:param key: The SSL key data in PEM format. This is not returned in
response of GET/PUT on the resource. To see this please call listKeys API.
:type key: str
:param cname: The CName of the certificate.
:type cname: str
"""
_attribute_map = {
'status': {'key': 'status', 'type': 'str'},
'cert': {'key': 'cert', 'type': 'str'},
'key': {'key': 'key', 'type': 'str'},
'cname': {'key': 'cname', 'type': 'str'},
}
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] | 3.331776 | 428 |
# coding=utf-8
# Copyright 2021 DeepMind Technologies Limited.
#
# 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.
"""A class that talks directly to the telnet console of the Android emulator.
NOTE: This class will be deprecated in favour of gRPC-based communication.
"""
import os
import telnetlib
import threading
import time
from typing import List, Optional
import uuid
from absl import logging
from android_env.components import errors
from android_env.proto import raw_observation_pb2
import numpy as np
class _FifoReader(threading.Thread):
"""A thread which reads from a Unix pipe.
This thread is meant to run indefinitely, consuming from `fifo` and providing
observations via `latest_observation()`.
Any exceptions that are caught in `run()` are forwarded to
`latest_exception()` and then execution is terminated.
Users of this thread may call `stop()` to set a signal on
`self._terminate_event`, which is checked periodically by this thread to end
execution, but the `f.read()` call below may get stuck indefinitely causing
this thread to block until the whole process is terminated. In this case, no
CPU will be used, but a file descriptor will be consumed (from the `open()`
call) and threading state will linger until the process dies.
This thread was designed to terminate when facing possibly recoverable errors
allowing its caller thread to time out when waiting on `data_ready()`, then
optionally spawning a new thread to continue the work.
"""
def data_ready(self) -> threading.Condition:
"""Returns a condition variable that protects shared state."""
return self._data_ready
class EmulatorConsole():
"""Handles communication with the emulator."""
def __init__(self,
console_port: int,
auth_code: str = '',
tmp_dir: str = '/tmp',
pipe_read_timeout_sec: float = 20.0):
"""Initializes this EmulatorConsole.
Args:
console_port: Integer
auth_code: String
tmp_dir: String
pipe_read_timeout_sec: Maximum amount of time in seconds to wait for
reading data from a pipe.
"""
self._console_port = console_port
self._tmp_dir = tmp_dir
self._pipe_read_timeout_sec = pipe_read_timeout_sec
self._read_thread = None
self._setup_fifo()
self._connect()
self._authenticate_to_console(auth_code)
self._read_thread = _FifoReader(fifo=self._fifo)
self._read_thread.daemon = True
self._read_thread.start()
def fetch_screenshot(self) -> Optional[List[np.ndarray]]:
"""Returns the observation via telnet through a pipe.
This makes use of a feature in the AndroidEmulator
(https://android-review.googlesource.com/c/platform/external/qemu/+/891716)
that saves screenshots as a binary protobuf instead of a compressed PNG,
greatly improving the performance and latency.
Returns: Observation
Raises:
errors.ReadObservationError: if the observation could not be read.
"""
# Ask the emulator for a screenshot.
self._connection.write(b'screenrecord screenshot %s\n' %
self._fifo.encode('utf-8'))
with self._read_thread.data_ready():
# Check for outstanding errors before waiting.
if self._read_thread.latest_exception():
raise self._read_thread.latest_exception()
if self._read_thread.data_ready().wait(
timeout=self._pipe_read_timeout_sec):
# Check for errors while reading observations.
if self._read_thread.latest_exception():
raise self._read_thread.latest_exception()
# Check if the observation was successfully read.
if self._read_thread.latest_observation():
return self._read_thread.latest_observation()
else:
raise errors.ObservationDecodingError(
'No observation from reader thread.')
else: # Timed out.
# _read_fifo is stuck, so we spawn a new thread.
self._read_thread = _FifoReader(fifo=self._fifo)
self._read_thread.daemon = True
self._read_thread.start()
raise errors.PipeTimedOutError()
def send_mouse_action(self, x: str, y: str, down: bool = True) -> None:
"""Sends mouse events via the emulator telnet console connection.
This functionality is already available in the emulator and is relatively
fast. It sends a "one-finger" touch event to the screen (i.e. it does not
support multitouch).
Args:
x: Integer The absolute value for the x-coordinate.
y: Integer The absolute value for the y-coordinate.
down: Boolean Whether the button is down.
Returns: None
"""
self._connection.write(
('event mouse %s %s 0 %s\n' %
(int(x), int(y), '1' if down else '0')).encode('utf-8'))
def _setup_fifo(self):
"""Creates a named pipe for receiving images from the console."""
self._fifo = os.path.join(self._tmp_dir,
'screenshot_pipe-%s.pb' % uuid.uuid4())
if os.path.isfile(self._fifo): # Remove it before trying to make a new one.
os.remove(self._fifo)
# The following call may raise OSError if it can't create the FIFO, but we
# do not want to catch it because it may hide other more serious errors.
# Because we're executing this at the start of the server, we prefer to fail
# fast and loud.
os.mkfifo(self._fifo)
def _connect(self):
"""Connects to the emulator console."""
logging.info('Connecting to Emulator console on port %s...',
self._console_port)
num_connection_attempts = 3
connected = False
retries = 0
while not connected:
try:
self._connection = telnetlib.Telnet('localhost', self._console_port)
connected = True
except ConnectionRefusedError:
retries += 1
if retries >= num_connection_attempts:
raise errors.ConsoleConnectionError()
logging.error('Console connection refused, retrying in 5 seconds.')
time.sleep(5)
logging.info('Done connecting to Emulator console on port %s.',
self._console_port)
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62,
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657,
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220,
220,
220,
981,
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25,
198,
220,
220,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
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25,
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220,
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220,
220,
220,
220,
220,
220,
220,
5298,
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13,
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3419,
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220,
220,
220,
220,
220,
220,
220,
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13,
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642,
4201,
2637,
8,
198,
220,
220,
220,
220,
220,
220,
220,
640,
13,
42832,
7,
20,
8,
198,
220,
220,
220,
18931,
13,
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10786,
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14320,
284,
2295,
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319,
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2637,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
41947,
62,
634,
8,
198
] | 2.901267 | 2,289 |
from django.contrib import admin
from .models import *
admin.site.register(Profession)
admin.site.register(Service, ServiceAdmin)
admin.site.register(Rating, RatingAdmin)
admin.site.register(Rent, RentAdmin)
admin.site.register(PriceList, PriceListAdmin)
admin.site.register(Order)
| [
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8,
198
] | 3.247191 | 89 |
import torch
from torch.nn import functional as F
from torchmetrics import Metric
from models.components.utils import AttentionMask
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198
] | 4.15625 | 32 |
"""Test about view"""
import pytest
@pytest.mark.django_db
def test_about(api_request):
"""Test about GET endpoint"""
response = api_request("get", "common:about")
assert response.status_code == 200
assert "product_name" in response.data
assert "version" in response.data
| [
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2882,
13,
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198
] | 3.030928 | 97 |
if __name__ == "__main__":
list1 = [1,4,2,5,6,5,3]
print('\n\n-----Stalin Sorting Algorithm-----\n')
print('unsorted list: '+str(list1))
print('sorted list: '+str(stalinSort(list1))) | [
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] | 2.080808 | 99 |
import numpy
import tflearn
import tensorflow
import json
import random
import datetime
from utils.utils import net, label, kata, data, sekantung_kata
model = tflearn.DNN(net)
model.load("model/model.tfl")
if __name__ == '__main__':
chat()
| [
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705,
834,
12417,
834,
10354,
198,
220,
220,
220,
8537,
3419,
198
] | 2.744444 | 90 |
if __name__ == '__main__':
n = 4
Solution().tower_of_hanoi(n, 'A', 'B', 'C')
| [
220,
220,
198,
361,
11593,
3672,
834,
6624,
705,
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220,
299,
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604,
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220,
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62,
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72,
7,
77,
11,
705,
32,
3256,
705,
33,
3256,
705,
34,
11537,
198
] | 2 | 42 |
from typing import List
from fastapi.encoders import jsonable_encoder
from sqlalchemy.orm import Session
from app.core.security import encrypt_secret
from app.crud.base import CRUDBase
from app.models.item import Item
from app.schemas.item import ItemCreate, ItemUpdate
import json
item = CRUDItem(Item)
| [
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540,
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33918,
628,
198,
9186,
796,
8740,
8322,
7449,
7,
7449,
8,
198
] | 3.477273 | 88 |
for i in range(0, 10):
print (i), | [
1640,
220,
1312,
287,
2837,
7,
15,
11,
838,
2599,
198,
220,
220,
220,
3601,
357,
72,
828
] | 2.111111 | 18 |
from mongoengine import *
| [
198,
6738,
285,
25162,
18392,
1330,
1635,
198
] | 3.375 | 8 |
# -*- coding: utf-8 -*-
import scrapy
from vendors.items import VendorWine
from vendors.utils import float_or_none
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
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9,
12,
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198,
6738,
17192,
13,
26791,
1330,
12178,
62,
273,
62,
23108,
628,
198
] | 2.95 | 40 |
from fisher_py.net_wrapping import NetWrapperBase
from fisher_py.data import FileHeader, FileError, SequenceInfo
from fisher_py.data.business import SampleInformation, BracketType
from typing import List
| [
6738,
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11,
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198,
6738,
19720,
1330,
7343,
628,
198
] | 3.886792 | 53 |
import contextlib
from pathlib import Path
from typing import NamedTuple
import ir_datasets
from ir_datasets.util import GzipExtract, DownloadConfig, _DownloadConfig
from ir_datasets.datasets.base import Dataset, YamlDocumentation
from ir_datasets.formats import TsvDocs, CLIRMatrixQueries, CLIRMatrixQrels
NAME = 'clirmatrix'
_logger = ir_datasets.log.easy()
QRELS_DEFS = {
6: "6",
5: "5",
4: "4",
3: "3",
2: "2",
1: "1",
0: "0",
}
collection = _init()
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198,
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628,
198,
43681,
796,
4808,
15003,
3419,
198
] | 2.399015 | 203 |
n=int(input())
m=1000000007
dp=[0]*(n+1)
dp[0]=1
for i in range(1,n+1):
for j in range(1,7):
if i-j >= 0:
dp[i]=(dp[i]+dp[i-j])%m
else:
break
print(dp[n]) | [
77,
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] | 1.534884 | 129 |
# This is a small python snippet which introduces how to create a class with a constructor,
# some functions inside the class and their usage.
# Creating an instance of object
x = Store("Security Books")
# Adding items in stock
x.add_item("Gray Hat Hacking", 34)
x.add_item("Rafay Baloch", 34.42)
# Total of stock items
print("The total of items is: ", x.stock_price())
| [
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25,
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198
] | 3.485981 | 107 |
"""
The client class has a request method that allows all sorts of generic API requests to Adobe's v1.4 REST API.
To get a comprehensive overview of available APIs and methods check out the official Adobe Analytics API Explorer:
https://marketing.adobe.com/developer/api-explorer
"""
from adobe_analytics import Client
client = Client.from_json("my_path.json")
# The request below returns a list of all evars available in all specified report suites.
result = client.request(
api="ReportSuite",
method="GetEvars",
data={
"rsid_list": [
"my_report_suite_id_1",
"my_report_suite_id_2",
"...",
"my_report_suite_id_n"
]
}
)
print(result)
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220,
220,
220,
220,
220,
366,
9313,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
1820,
62,
13116,
62,
2385,
578,
62,
312,
62,
77,
1,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
1782,
198,
8,
198,
4798,
7,
20274,
8,
198
] | 2.665428 | 269 |
import os
from io import BytesIO
from luabins import decode_luabins, encode_luabins
| [
11748,
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198,
6738,
33245,
1330,
2750,
4879,
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300,
84,
397,
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1330,
36899,
62,
2290,
397,
1040,
11,
37773,
62,
2290,
397,
1040,
628
] | 2.965517 | 29 |
from django.test import TestCase
import datetime
from django.utils import timezone
from article.models import ArticlePost
from django.contrib.auth.models import User
from time import sleep
from django.urls import reverse
| [
6738,
42625,
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42625,
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13,
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9575,
628
] | 3.844828 | 58 |
import json
import os
from mlserver import MLModel
from mlserver.types import InferenceRequest, InferenceResponse
from mlserver.utils import get_model_uri
from .serve.base import BaseModel
from .serve.constants import ENV_TEMPO_RUNTIME_OPTIONS
from .serve.loader import load
from .serve.metadata import ModelFramework, RuntimeOptions
from .serve.utils import PredictMethodAttr
| [
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2655,
303,
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1330,
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628,
198
] | 3.463636 | 110 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
import tensorflow as tf
import tensorflow.contrib.slim as slim
model_params = {
'basic': ([0, 0, 0, 0], [16, 32, 64, 128]),
'test': ([0, 1, 2, 3, 2], [64, [64,128], [128,256], [256,512], [256,512]], 3, 16),
#'test': ([0, 2, 3, 4, 3], [64, [64,128], [128,256], [256,512], [256,512]], 3, 16),
#'test': ([0, 3, 4, 6, 3], [64, [64,128], [128,256], [256,512], [256,512]], 3, 16),
#'test': ([0, 0, 0, 0, 0], [64, [64,128], [128,256], [256,512], [256,512]], 3, 16),
'50': ([0, 3, 4, 6, 3], [64, [128,256], [256,512], [512,1024], [1024, 2048]], 7, 32),
'101': ([0, 3, 4, 23, 3], [64, [128,256], [256,512], [512,1024], [1024, 2048]], 7, 32),
'152': ([0, 3, 8, 36, 3], [64, [128,256], [256,512], [512,1024], [1024, 2048]], 7, 32),
}
batch_norm_params = {
# Decay for the moving averages.
'decay': 0.995,
# epsilon to prevent 0s in variance.
'epsilon': 0.001,
# force in-place updates of mean and variance estimates
'updates_collections': None,
# Moving averages ends up in the trainable variables collection
'variables_collections': [ tf.GraphKeys.TRAINABLE_VARIABLES ],
}
batch_norm_params_last = {
# Decay for the moving averages.
'decay': 0.995,
# epsilon to prevent 0s in variance.
'epsilon': 10e-8,
# force in-place updates of mean and variance estimates
'center': False,
# not use beta
'scale': False,
# not use gamma
'updates_collections': None,
# Moving averages ends up in the trainable variables collection
'variables_collections': [ tf.GraphKeys.TRAINABLE_VARIABLES ],
}
activation = tf.nn.relu
# Convolution with special initialization
# def conv_module(net, num_res_layers, num_kernels, cardinality, stride, reuse = None, scope = None):
# with tf.variable_scope(scope, 'conv', [net], reuse=reuse):
# # Use convolution for the first shortcut
# shortcut = convolution(net, num_kernels[1], kernel_size=1, stride=stride, padding='SAME')
# for i in range(num_res_layers):
# stride = stride if i==0 else 1
# net = residual_block(net, num_kernels, cardinality, stride,
# reuse=reuse, scope='block_%d' % i)
# print('| ---- block_%d' % i)
# net = activation(net + shortcut)
# shortcut = net
# return shortcut
# def inference(images, keep_probability, phase_train=True, bottleneck_layer_size=512,
# weight_decay=1e-4, reuse=None, model_version=None):
# with slim.arg_scope([slim.conv2d, slim.separable_conv2d, slim.fully_connected],
# activation_fn=activation,
# normalizer_fn=slim.batch_norm,
# normalizer_params=batch_norm_params):
# with tf.variable_scope('ResNeXt', [images], reuse=reuse):
# with slim.arg_scope([slim.batch_norm, slim.dropout],
# is_training=phase_train):
# print('input shape:', [dim.value for dim in images.shape])
# model_version = 'test' if model_version ==None else model_version
# num_layers, num_kernels, kernel_size, cardinality = model_params[model_version]
# net = convolution(images, num_kernels[0], kernel_size=kernel_size, groups=1, stride=2, padding='SAME')
# print('module_1 shape:', [dim.value for dim in net.shape])
# net = conv_module(net, num_layers[1], num_kernels[1], cardinality, stride=1, scope='conv2')
# print('module_2 shape:', [dim.value for dim in net.shape])
# net = conv_module(net, num_layers[2], num_kernels[2], cardinality, stride=2, scope='conv3')
# print('module_3 shape:', [dim.value for dim in net.shape])
# net = conv_module(net, num_layers[3], num_kernels[3], cardinality, stride=2, scope='conv4')
# print('module_4 shape:', [dim.value for dim in net.shape])
# net = conv_module(net, num_layers[4], num_kernels[4], cardinality, stride=2, scope='conv5')
# print('module_5 shape:', [dim.value for dim in net.shape])
# net = slim.avg_pool2d(net, net.get_shape()[1:3], scope='avgpool5')
# net = slim.flatten(net)
# net = slim.fully_connected(net, 256, scope='PreBottleneck',
# # weights_initializer=tf.truncated_normal_initializer(stddev=0.1),
# # weights_initializer=tf.constant_initializer(0.),
# weights_initializer=slim.xavier_initializer())
# net = slim.fully_connected(net, 1, scope='Bottleneck',
# # weights_initializer=tf.truncated_normal_initializer(stddev=0.1),
# # weights_initializer=tf.constant_initializer(0.),
# weights_initializer=slim.xavier_initializer(),
# activation_fn=None)
# return net
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11,
35500,
4357,
685,
35500,
11,
36117,
60,
4357,
767,
11,
3933,
828,
198,
92,
198,
198,
43501,
62,
27237,
62,
37266,
796,
1391,
198,
220,
220,
220,
1303,
39087,
329,
262,
3867,
25694,
13,
198,
220,
220,
220,
705,
12501,
323,
10354,
657,
13,
33438,
11,
198,
220,
220,
220,
1303,
304,
862,
33576,
284,
2948,
657,
82,
287,
24198,
13,
198,
220,
220,
220,
705,
538,
18217,
261,
10354,
657,
13,
8298,
11,
198,
220,
220,
220,
1303,
2700,
287,
12,
5372,
5992,
286,
1612,
290,
24198,
7746,
198,
220,
220,
220,
705,
929,
19581,
62,
4033,
26448,
10354,
6045,
11,
198,
220,
220,
220,
1303,
26768,
25694,
5645,
510,
287,
262,
4512,
540,
9633,
4947,
198,
220,
220,
220,
705,
25641,
2977,
62,
4033,
26448,
10354,
685,
48700,
13,
37065,
40729,
13,
51,
3861,
1268,
17534,
62,
53,
1503,
3539,
9148,
1546,
16589,
198,
92,
220,
220,
220,
198,
198,
43501,
62,
27237,
62,
37266,
62,
12957,
796,
1391,
198,
220,
220,
220,
1303,
39087,
329,
262,
3867,
25694,
13,
198,
220,
220,
220,
705,
12501,
323,
10354,
657,
13,
33438,
11,
198,
220,
220,
220,
1303,
304,
862,
33576,
284,
2948,
657,
82,
287,
24198,
13,
198,
220,
220,
220,
705,
538,
18217,
261,
10354,
838,
68,
12,
23,
11,
198,
220,
220,
220,
1303,
2700,
287,
12,
5372,
5992,
286,
1612,
290,
24198,
7746,
198,
220,
220,
220,
705,
16159,
10354,
10352,
11,
198,
220,
220,
220,
1303,
407,
779,
12159,
198,
220,
220,
220,
705,
9888,
10354,
10352,
11,
198,
220,
220,
220,
1303,
407,
779,
34236,
198,
220,
220,
220,
705,
929,
19581,
62,
4033,
26448,
10354,
6045,
11,
198,
220,
220,
220,
1303,
26768,
25694,
5645,
510,
287,
262,
4512,
540,
9633,
4947,
198,
220,
220,
220,
705,
25641,
2977,
62,
4033,
26448,
10354,
685,
48700,
13,
37065,
40729,
13,
51,
3861,
1268,
17534,
62,
53,
1503,
3539,
9148,
1546,
16589,
198,
92,
198,
198,
48545,
796,
48700,
13,
20471,
13,
260,
2290,
198,
198,
2,
34872,
2122,
351,
2041,
37588,
198,
198,
2,
825,
3063,
62,
21412,
7,
3262,
11,
997,
62,
411,
62,
75,
6962,
11,
997,
62,
74,
44930,
11,
38691,
414,
11,
33769,
11,
32349,
796,
6045,
11,
8354,
796,
6045,
2599,
198,
2,
220,
220,
220,
220,
351,
48700,
13,
45286,
62,
29982,
7,
29982,
11,
705,
42946,
3256,
685,
3262,
4357,
32349,
28,
260,
1904,
2599,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
5765,
3063,
2122,
329,
262,
717,
29401,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
29401,
796,
3063,
2122,
7,
3262,
11,
997,
62,
74,
44930,
58,
16,
4357,
9720,
62,
7857,
28,
16,
11,
33769,
28,
2536,
485,
11,
24511,
11639,
50,
10067,
11537,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
329,
1312,
287,
2837,
7,
22510,
62,
411,
62,
75,
6962,
2599,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
33769,
796,
33769,
611,
1312,
855,
15,
2073,
352,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2010,
796,
29598,
62,
9967,
7,
3262,
11,
997,
62,
74,
44930,
11,
38691,
414,
11,
33769,
11,
220,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
32349,
28,
260,
1904,
11,
8354,
11639,
9967,
62,
4,
67,
6,
4064,
1312,
8,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3601,
10786,
91,
13498,
2512,
62,
4,
67,
6,
4064,
1312,
8,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2010,
796,
14916,
7,
3262,
1343,
29401,
8,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
29401,
796,
2010,
198,
198,
2,
220,
220,
220,
220,
1441,
29401,
198,
198,
2,
825,
32278,
7,
17566,
11,
1394,
62,
1676,
65,
1799,
11,
7108,
62,
27432,
28,
17821,
11,
49936,
62,
29289,
62,
7857,
28,
25836,
11,
220,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3463,
62,
12501,
323,
28,
16,
68,
12,
19,
11,
32349,
28,
14202,
11,
2746,
62,
9641,
28,
14202,
2599,
198,
2,
220,
220,
220,
220,
351,
18862,
13,
853,
62,
29982,
26933,
82,
2475,
13,
42946,
17,
67,
11,
18862,
13,
25512,
540,
62,
42946,
17,
67,
11,
18862,
13,
2759,
62,
15236,
4357,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
14916,
62,
22184,
28,
48545,
11,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3487,
7509,
62,
22184,
28,
82,
2475,
13,
43501,
62,
27237,
11,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3487,
7509,
62,
37266,
28,
43501,
62,
27237,
62,
37266,
2599,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
351,
48700,
13,
45286,
62,
29982,
10786,
4965,
8199,
55,
83,
3256,
685,
17566,
4357,
32349,
28,
260,
1904,
2599,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
351,
18862,
13,
853,
62,
29982,
26933,
82,
2475,
13,
43501,
62,
27237,
11,
18862,
13,
14781,
448,
4357,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
318,
62,
34409,
28,
40715,
62,
27432,
2599,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3601,
10786,
15414,
5485,
25,
3256,
685,
27740,
13,
8367,
329,
5391,
287,
4263,
13,
43358,
12962,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2746,
62,
9641,
796,
705,
9288,
6,
611,
2746,
62,
9641,
6624,
14202,
2073,
2746,
62,
9641,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
997,
62,
75,
6962,
11,
997,
62,
74,
44930,
11,
9720,
62,
7857,
11,
38691,
414,
796,
2746,
62,
37266,
58,
19849,
62,
9641,
60,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2010,
796,
3063,
2122,
7,
17566,
11,
997,
62,
74,
44930,
58,
15,
4357,
9720,
62,
7857,
28,
33885,
62,
7857,
11,
2628,
28,
16,
11,
33769,
28,
17,
11,
24511,
11639,
50,
10067,
11537,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3601,
10786,
21412,
62,
16,
5485,
25,
3256,
685,
27740,
13,
8367,
329,
5391,
287,
2010,
13,
43358,
12962,
198,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2010,
796,
3063,
62,
21412,
7,
3262,
11,
997,
62,
75,
6962,
58,
16,
4357,
997,
62,
74,
44930,
58,
16,
4357,
38691,
414,
11,
33769,
28,
16,
11,
8354,
11639,
42946,
17,
11537,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3601,
10786,
21412,
62,
17,
5485,
25,
3256,
685,
27740,
13,
8367,
329,
5391,
287,
2010,
13,
43358,
12962,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2010,
796,
3063,
62,
21412,
7,
3262,
11,
997,
62,
75,
6962,
58,
17,
4357,
997,
62,
74,
44930,
58,
17,
4357,
38691,
414,
11,
33769,
28,
17,
11,
8354,
11639,
42946,
18,
11537,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3601,
10786,
21412,
62,
18,
5485,
25,
3256,
685,
27740,
13,
8367,
329,
5391,
287,
2010,
13,
43358,
12962,
198,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2010,
796,
3063,
62,
21412,
7,
3262,
11,
997,
62,
75,
6962,
58,
18,
4357,
997,
62,
74,
44930,
58,
18,
4357,
38691,
414,
11,
33769,
28,
17,
11,
8354,
11639,
42946,
19,
11537,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3601,
10786,
21412,
62,
19,
5485,
25,
3256,
685,
27740,
13,
8367,
329,
5391,
287,
2010,
13,
43358,
12962,
198,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2010,
796,
3063,
62,
21412,
7,
3262,
11,
997,
62,
75,
6962,
58,
19,
4357,
997,
62,
74,
44930,
58,
19,
4357,
38691,
414,
11,
33769,
28,
17,
11,
8354,
11639,
42946,
20,
11537,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3601,
10786,
21412,
62,
20,
5485,
25,
3256,
685,
27740,
13,
8367,
329,
5391,
287,
2010,
13,
43358,
12962,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2010,
796,
18862,
13,
615,
70,
62,
7742,
17,
67,
7,
3262,
11,
2010,
13,
1136,
62,
43358,
3419,
58,
16,
25,
18,
4357,
8354,
11639,
615,
70,
7742,
20,
11537,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2010,
796,
18862,
13,
2704,
41769,
7,
3262,
8,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2010,
796,
18862,
13,
2759,
62,
15236,
7,
3262,
11,
17759,
11,
8354,
11639,
6719,
28653,
43163,
3256,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
19590,
62,
36733,
7509,
28,
27110,
13,
2213,
19524,
515,
62,
11265,
62,
36733,
7509,
7,
301,
1860,
1990,
28,
15,
13,
16,
828,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
19590,
62,
36733,
7509,
28,
27110,
13,
9979,
415,
62,
36733,
7509,
7,
15,
12179,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
19590,
62,
36733,
7509,
28,
82,
2475,
13,
87,
19492,
62,
36733,
7509,
28955,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2010,
796,
18862,
13,
2759,
62,
15236,
7,
3262,
11,
352,
11,
8354,
11639,
28653,
43163,
3256,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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] | 2.077891 | 2,542 |
#!/usr/bin/env python
from __future__ import print_function
import logging
import sys
import os
import yaml
import base64
import subprocess
import tempfile
logger = logging.getLogger()
def run_command(command, env=None, cwd=None, stdin=None,
get_stdout=True, get_stderr=True):
"""returns triple (returncode, stdout, stderr)
if get_stdout is False stdout tuple element will be set to None
if get_stderr is False stderr tuple element will be set to None
"""
logger.info('Run command {} in env {}, cwd {}'.format(command, env, cwd))
myenv = {}
if env is not None:
for k, v in env.items():
myenv[str(k)] = str(v)
env = myenv
with tempfile.TemporaryFile(suffix='stdout') as tmp_stdout:
with tempfile.TemporaryFile(suffix='stderr') as tmp_stderr:
if isinstance(command, list) or isinstance(command, tuple):
p = subprocess.Popen(command,
stdin=stdin,
stdout=tmp_stdout,
stderr=tmp_stderr,
env=env,
cwd=cwd,
universal_newlines=False)
else:
p = subprocess.Popen(command,
stdin=stdin,
stdout=tmp_stdout,
stderr=tmp_stderr,
env=env,
cwd=cwd,
universal_newlines=False,
shell=True)
status = p.wait()
if get_stdout:
tmp_stdout.flush()
tmp_stdout.seek(0)
out = tmp_stdout.read()
else:
out = None
if get_stderr:
tmp_stderr.flush()
tmp_stderr.seek(0)
err = tmp_stderr.read()
else:
err = None
logger.info('Command {} returned code: {}'.format(command, status))
return status, out, err
if __name__ == "__main__":
logging.basicConfig()
if len(sys.argv) <= 1:
print('Usage: {} kubeconfig-file'.format(sys.argv[0]), file=sys.stderr)
sys.exit(0)
stream = open(sys.argv[1], "r")
docs = yaml.load_all(stream)
for doc in docs:
kind = doc.get('kind')
clusters = doc.get('clusters')
for cluster in clusters:
cluster_data = cluster.get('cluster')
cluster_name = cluster.get('name')
if cluster_data:
cert = get_obj_from_dict(cluster_data,
'certificate-authority-data')
server = cluster_data.get('server')
print('Server: {}'.format(server))
print('certificate-authority-data:')
print(cert)
users = doc.get('users')
for user in users:
user_name = user.get('name')
print('User: {}'.format(user_name))
user_data = user.get('user')
if user_data:
cert = get_obj_from_dict(user_data,
'client-certificate-data')
print('client-certificate-data:')
print(cert)
cert = get_obj_from_dict(user_data,
'client-key-data')
print('client-key-data:')
print(cert)
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] | 1.742747 | 2,068 |
from flask import render_template
from app import app
@app.route('/', methods=['GET', 'POST'])
if __name__ == '__main__':
app.run(debug=True, host="0.0.0.0")
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] | 2.59375 | 64 |
# Copyright (c) ZenML GmbH 2021. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
# or implied. See the License for the specific language governing
# permissions and limitations under the License.
import os
from contextlib import ExitStack as does_not_raise
import pytest
from zenml.exceptions import (
PipelineConfigurationError,
PipelineInterfaceError,
StackValidationError,
)
from zenml.pipelines import pipeline
from zenml.repository import Repository
from zenml.steps import BaseStepConfig, step
from zenml.utils.yaml_utils import write_yaml
def create_pipeline_with_config_value(config_value: int):
"""Creates pipeline instance with a step named 'step' which has a
parameter named 'value'."""
@step
@pipeline
pipeline_instance = some_pipeline(
step_=step_with_config(config=Config(value=config_value))
)
return pipeline_instance
def test_initialize_pipeline_with_args(
unconnected_two_step_pipeline, generate_empty_steps
):
"""Test that a pipeline can be initialized with args."""
with does_not_raise():
empty_step_1, empty_step_2 = generate_empty_steps(2)
unconnected_two_step_pipeline(empty_step_1(), empty_step_2())
def test_initialize_pipeline_with_kwargs(
unconnected_two_step_pipeline, generate_empty_steps
):
"""Test that a pipeline can be initialized with kwargs."""
with does_not_raise():
empty_step_1, empty_step_2 = generate_empty_steps(2)
unconnected_two_step_pipeline(
step_1=empty_step_1(), step_2=empty_step_2()
)
def test_initialize_pipeline_with_args_and_kwargs(
unconnected_two_step_pipeline, generate_empty_steps
):
"""Test that a pipeline can be initialized with a mix of args and kwargs."""
with does_not_raise():
empty_step_1, empty_step_2 = generate_empty_steps(2)
unconnected_two_step_pipeline(empty_step_1(), step_2=empty_step_2())
def test_initialize_pipeline_with_too_many_args(
unconnected_two_step_pipeline, generate_empty_steps
):
"""Test that pipeline initialization fails when too many args
are passed."""
with pytest.raises(PipelineInterfaceError):
empty_step_1, empty_step_2, empty_step_3 = generate_empty_steps(3)
unconnected_two_step_pipeline(
empty_step_1(), empty_step_2(), empty_step_3()
)
def test_initialize_pipeline_with_too_many_args_and_kwargs(
unconnected_two_step_pipeline, generate_empty_steps
):
"""Test that pipeline initialization fails when too many args
and kwargs are passed."""
with pytest.raises(PipelineInterfaceError):
empty_step_1, empty_step_2, empty_step_3 = generate_empty_steps(3)
unconnected_two_step_pipeline(
empty_step_3(), step_1=empty_step_1(), step_2=empty_step_2()
)
def test_initialize_pipeline_with_missing_key(
unconnected_two_step_pipeline, empty_step
):
"""Test that pipeline initialization fails when an argument
is missing."""
with pytest.raises(PipelineInterfaceError):
unconnected_two_step_pipeline(step_1=empty_step())
def test_initialize_pipeline_with_unexpected_key(
unconnected_two_step_pipeline, generate_empty_steps
):
"""Test that pipeline initialization fails when an argument
has an unexpected key."""
with pytest.raises(PipelineInterfaceError):
empty_step_1, empty_step_2, empty_step_3 = generate_empty_steps(3)
unconnected_two_step_pipeline(
step_1=empty_step_1(), step_2=empty_step_2(), step_3=empty_step_3()
)
def test_initialize_pipeline_with_repeated_args(
unconnected_two_step_pipeline, empty_step
):
"""Test that pipeline initialization fails when same step
object is used"""
with pytest.raises(PipelineInterfaceError):
unconnected_two_step_pipeline(empty_step(), empty_step())
def test_initialize_pipeline_with_repeated_kwargs(
unconnected_two_step_pipeline, empty_step
):
"""Test that pipeline initialization fails when same step
object is used"""
with pytest.raises(PipelineInterfaceError):
unconnected_two_step_pipeline(step_1=empty_step(), step_2=empty_step())
def test_initialize_pipeline_with_repeated_args_and_kwargs(
unconnected_two_step_pipeline, empty_step
):
"""Test that pipeline initialization fails when same step
object is used"""
with pytest.raises(PipelineInterfaceError):
unconnected_two_step_pipeline(empty_step(), step_2=empty_step())
def test_initialize_pipeline_with_wrong_arg_type(
unconnected_two_step_pipeline, empty_step
):
"""Test that pipeline initialization fails when an arg has a wrong type."""
with pytest.raises(PipelineInterfaceError):
unconnected_two_step_pipeline(1, empty_step())
def test_initialize_pipeline_with_wrong_kwarg_type(
unconnected_two_step_pipeline, empty_step
):
"""Test that pipeline initialization fails when a kwarg has a wrong type."""
with pytest.raises(PipelineInterfaceError):
unconnected_two_step_pipeline(step_1=1, step_2=empty_step())
def test_initialize_pipeline_with_missing_arg_step_brackets(
unconnected_two_step_pipeline, generate_empty_steps
):
"""Test that pipeline initialization fails with missing arg brackets."""
with pytest.raises(PipelineInterfaceError):
empty_step_1, empty_step_2 = generate_empty_steps(2)
unconnected_two_step_pipeline(empty_step_1, empty_step_2)
def test_initialize_pipeline_with_missing_kwarg_step_brackets(
unconnected_two_step_pipeline, generate_empty_steps
):
"""Test that pipeline initialization fails with missing kwarg brackets."""
with pytest.raises(PipelineInterfaceError):
empty_step_1, empty_step_2 = generate_empty_steps(2)
unconnected_two_step_pipeline(step_1=empty_step_1, step_2=empty_step_2)
def test_setting_step_parameter_with_config_object():
"""Test whether step parameters can be set using a config object."""
config_value = 0
pipeline_instance = create_pipeline_with_config_value(config_value)
step_instance = pipeline_instance.steps["step_"]
assert step_instance.PARAM_SPEC["value"] == config_value
def test_overwrite_step_parameter_with_config_yaml(tmp_path):
"""Test whether step parameters can be overwritten using a config yaml."""
config_value = 0
pipeline_instance = create_pipeline_with_config_value(config_value)
yaml_path = os.path.join(tmp_path, "config.yaml")
yaml_config_value = 1
write_yaml(
yaml_path,
{"steps": {"step_": {"parameters": {"value": yaml_config_value}}}},
)
pipeline_instance = pipeline_instance.with_config(
yaml_path, overwrite_step_parameters=True
)
step_instance = pipeline_instance.steps["step_"]
assert step_instance.PARAM_SPEC["value"] == yaml_config_value
def test_dont_overwrite_step_parameter_with_config_yaml(tmp_path):
"""Test that step parameters don't get overwritten by yaml file
if not forced."""
config_value = 0
pipeline_instance = create_pipeline_with_config_value(config_value)
yaml_path = os.path.join(tmp_path, "config.yaml")
yaml_config_value = 1
write_yaml(
yaml_path,
{"steps": {"step_": {"parameters": {"value": yaml_config_value}}}},
)
pipeline_instance = pipeline_instance.with_config(yaml_path)
step_instance = pipeline_instance.steps["step_"]
assert step_instance.PARAM_SPEC["value"] == config_value
def test_yaml_configuration_with_invalid_step_name(tmp_path):
"""Test that a config yaml with an invalid step name raises an exception"""
pipeline_instance = create_pipeline_with_config_value(0)
yaml_path = os.path.join(tmp_path, "config.yaml")
write_yaml(
yaml_path,
{"steps": {"WRONG_STEP_NAME": {"parameters": {"value": 0}}}},
)
with pytest.raises(PipelineConfigurationError):
_ = pipeline_instance.with_config(yaml_path)
def test_yaml_configuration_with_invalid_parameter_name(tmp_path):
"""Test that a config yaml with an invalid parameter
name raises an exception"""
pipeline_instance = create_pipeline_with_config_value(0)
yaml_path = os.path.join(tmp_path, "config.yaml")
write_yaml(
yaml_path,
{"steps": {"step_": {"parameters": {"WRONG_PARAMETER_NAME": 0}}}},
)
with pytest.raises(PipelineConfigurationError):
_ = pipeline_instance.with_config(yaml_path)
def test_setting_pipeline_parameter_name_when_initializing_pipeline(
one_step_pipeline, empty_step
):
"""Tests that initializing a pipeline with a step sets the attribute
`pipeline_parameter_name` of the step."""
step_instance = empty_step()
assert step_instance.pipeline_parameter_name is None
one_step_pipeline(step_instance)
assert step_instance.pipeline_parameter_name == "step_"
def test_calling_a_pipeline_twice_raises_no_exception(
one_step_pipeline, empty_step
):
"""Tests that calling one pipeline instance twice does not raise
any exception."""
pipeline_instance = one_step_pipeline(empty_step())
with does_not_raise():
pipeline_instance.run()
pipeline_instance.run()
def test_pipeline_requirements(tmp_path):
"""Tests that the pipeline requirements are a combination of the
requirements of integrations and requirements of the specified
requirements file."""
from zenml.integrations.sklearn import SklearnIntegration
requirements = tmp_path / "requirements.txt"
requirements.write_text("any_requirement")
@pipeline(required_integrations=[SklearnIntegration.NAME])
assert my_pipeline().requirements == set(SklearnIntegration.REQUIREMENTS)
@pipeline(requirements=str(requirements))
assert my_pipeline().requirements == {"any_requirement"}
@pipeline(
required_integrations=[SklearnIntegration.NAME],
requirements=str(requirements),
)
assert my_pipeline().requirements == {
"any_requirement",
*SklearnIntegration.REQUIREMENTS,
}
def test_pipeline_requirements_takes_list(tmp_path):
"""Tests that the pipeline requirements are a combination of the
requirements of integrations and requirements of the specified
requirements file."""
from zenml.integrations.sklearn import SklearnIntegration
requirements = tmp_path / "requirements.txt"
requirements.write_text("any_requirement")
@pipeline(required_integrations=[SklearnIntegration.NAME])
assert my_pipeline().requirements == set(SklearnIntegration.REQUIREMENTS)
@pipeline(requirements=["any_requirement"])
assert my_pipeline().requirements == {"any_requirement"}
@pipeline(
required_integrations=[SklearnIntegration.NAME],
requirements=["any_requirement"],
)
assert my_pipeline().requirements == {
"any_requirement",
*SklearnIntegration.REQUIREMENTS,
}
def test_pipeline_run_fails_when_required_step_operator_is_missing(
one_step_pipeline,
):
"""Tests that running a pipeline with a step that requires a custom step
operator fails if the active stack does not contain this step operator."""
@step(custom_step_operator="azureml")
assert not Repository().active_stack.step_operator
with pytest.raises(StackValidationError):
one_step_pipeline(step_that_requires_step_operator()).run()
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62,
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611,
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8931,
857,
407,
3994,
428,
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526,
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628,
220,
220,
220,
2488,
9662,
7,
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62,
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62,
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2625,
1031,
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4943,
628,
220,
220,
220,
6818,
407,
1432,
13264,
22446,
5275,
62,
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13,
9662,
62,
46616,
198,
220,
220,
220,
351,
12972,
9288,
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530,
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62,
5562,
62,
47911,
62,
9662,
62,
46616,
3419,
737,
5143,
3419,
198
] | 2.749417 | 4,290 |
import torch
import torch.nn as nn
from mmcv.cnn import normal_init
from torch.autograd import Function
import numpy as np
from ..builder import HEADS
from ...core import top_k_accuracy
from .base import AvgConsensus, BaseHead
@HEADS.register_module() | [
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import sys
import argparse
PROG = "tree"
USAGE = "%(prog)s <Path> [options]"
DESCRIPTION = "Featureful tree utility in Python"
| [
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"""
SAX driver for the Pyexpat C module, based on xml.sax.expatdriver.
$Id: drv_pyexpat.py,v 1.6 2000/09/26 19:53:43 loewis Exp $
"""
# XXX: todo list of old drv_pyexpat.py, check whether any of these
# have been fixed.
# Todo on driver:
# - make it support external entities (wait for pyexpat.c)
# - enable configuration between reset() and feed() calls
# - support lexical events?
# - proper inputsource handling
# - properties and features
# Todo on pyexpat.c:
# - support XML_ExternalEntityParserCreate
# - exceptions in callouts from pyexpat to python code lose position info
from xml.sax.expatreader import create_parser
| [
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] | 3.067308 | 208 |
import time
import random
from pprint import pprint
global env
env= {
"BATTERY_LEVEL": 100,
"SPOT": False,
"SPOT_LOCATION": (3.0, 7.0),
"GENERAL": False,
"DUSTY_SPOT": False,
"DUSTY_SPOT_LOCATION": (0.0, -4.0),
"HOME_PATH": [],
"LOCATION": (-3.0, 5.0),
"FACING": (0, 1)
}
NODE_INITIALIZED = -1
NODE_SUCCEED = 0
NODE_RUNNING = 1
NODE_FAILED = 2
#class FailedTest(Task):
# def job(self, conditions):
# time.sleep(0)
# print("Failed")
# return False
if __name__=="__main__":
roomba=Roomba()
roomba.run(env)
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198,
220,
220,
220,
2119,
7012,
13,
5143,
7,
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8,
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] | 1.97377 | 305 |
import nox
BLACK_PATHS = ["helpers", "."]
@nox.session(python="3.8")
def blacken(session):
"""Run black.
Format code to uniform standard.
"""
session.install("black")
session.run(
"black",
*BLACK_PATHS,
)
@nox.session(python="3.8")
def unit(session):
"""Run the unit test suite."""
session.install("pytest")
session.run("pytest")
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] | 2.331325 | 166 |
"""
Provides EventEmitter class.
"""
import asyncio
from functools import partial
from typing import (
Callable,
Dict,
Type,
Union,
Coroutine,
Set,
)
from .event import BaseEvent
from .subscription import Subscription
# pylint: disable=invalid-name
EventCallbackType = Callable[[BaseEvent], Union[None, Coroutine[None, None, None]]]
class EventEmitter:
"""
ABC for a class whose instances emit events.
:ivar _event_listeners: A dictionary whose keys are subclasses of BaseEvent
and whose values are lists of event handlers. Event handlers should
be callables that accept a single argument: the event being emitted.
"""
_subscriptions: Dict[Type[BaseEvent], Set[Subscription]]
def listen(self, event_type: Type[BaseEvent], callback: EventCallbackType) -> "Subscription":
"""
Register a callback to be fired when an event is emitted.
:param event_type: The type of event (subclass of :py:class:`BaseEvent`)
to listen for.
:param callback: The callback to trigger when the event is emitted;
should accept a single parameter which is the instance of
`event_type` that was emitted.
:return:
"""
if event_type not in self._subscriptions:
self._subscriptions[event_type] = set()
subscription = Subscription(
callback,
unsubscribe=partial(self._remove_subscription, event_type),
loop=self._loop,
)
self._subscriptions[event_type].add(subscription)
return subscription
def emit(self, event: BaseEvent):
"""
Emit an event.
:param event: The event to be omitted.
:return:
"""
if not isinstance(event, BaseEvent):
raise ValueError(f"Events must be subclasses of BaseEvent (got {repr(event)}).")
if event.target is None:
event.target = self
subscriptions = self._get_subscriptions_for_event_type(type(event))
for subscription in subscriptions:
subscription.invoke(event)
def proxy(self, emitter):
"""
Proxy events from another emitter.
Useful in a grandparent-parent-child type pattern where the grandparent
cares about events emitted in the child.
:param emitter:
:return:
"""
emitter.listen(BaseEvent, self._proxy_event)
def _proxy_event(self, event):
"""
Emit an event via proxy.
:param event: The event to proxy.
:return:
"""
self.emit(event)
def _get_subscriptions_for_event_type(
self, event_type: Type,
) -> Set["Subscription"]:
"""
Get all handlers for an event type.
This method will walk up the subclass graph so that a handler
for `SomeEventType` will also handle events of type
`SubclassOfSomeEventType`.
:param event_type: The event type to find handlers for.
:return: A list of event handlers.
"""
# Note: See `test_event_multiple_inheritance.py` for a description about
# why we need to use a set here (rather than a list).
handlers = set()
if not issubclass(event_type, BaseEvent):
raise ValueError(f"Event classes must extend BaseEvent (got {repr(event_type)}).")
if event_type in self._subscriptions:
handlers.update(self._subscriptions[event_type])
for event_supertype in event_type.__bases__:
if not issubclass(event_supertype, BaseEvent):
continue
handlers.update(self._get_subscriptions_for_event_type(event_supertype))
return handlers
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] | 2.482166 | 1,514 |
#! /usr/bin/env python
'''
A script to fix CEDAR's ASCII dispersion solution output.
ABOUT:
This script can be used to modify .txt files that CEDAR produce when
dispersion solution output has been saved.
USAGE:
CEDARDispersionTXTFixer.py [-h] [-v] [-r] [-c] [-f] string [-o] srtring
where:
[-h] prints help
[-v] verbose mode on
[-r] creates an output file called dispersion.txt which is
in format that can be used as an input to update_*_disp.pro scripts.
[-c] compares results to TV06 six data found from CDBS
[-f] user defined string that is used to search text files to be processed.
User can specify wild cards e.g. "*wcal.txt".
[-o] name of the output file. This does not change the name of the output
file that optional argument -c produces.
DEPENDS:
Python 2.5 or 2.6 (not version 3.x compatible)
Pyfits
EXITSTA:
0: No errors
AUTHOR :
Sami-Matias Niemi, for STScI
HISTORY:
May 15 2009: Initial Version
@author: Sami-Matias Niemi
'''
__author__ = 'Sami-Matias Niemi'
__version__ = '0.9'
#Processes command line arguments
#Main program begins
if __name__ == '__main__':
import glob
import sys
import pyfits as PF
#command line arguments
(opts, args) = process_args()
if checkZeroArguments(opts) == False:
process_args(True)
sys.exit(-9)
#verbose
verbose = False
if opts.verbose is True: verbose = True
#CDBS TV06 files
cdbspath = '/grp/hst/cdbs/lref/'
fuvfile = 't2k1224el_disp.fits'
nuvfile = 't2917094l_disp.fits'
#search string
if opts.find is not None: search = opts.find
else: search = '*wcal.txt'
if verbose: print '\nWill use string: %s to indetify ASCII files containing dispersion solutions' % search
#finds all files containing search string
txtfiles = glob.glob(search)
#outputfile
if opts.output is not None:
out = open(opts.output, 'w')
if opts.comparison is True: outcomp = open(opts.output + '.comparison', 'w')
if opts.reference is not None: outref = open('dispersion.txt', 'w')
if verbose: print '\n Output will be written to file %s' % opts.output
outfile = opts.output
else:
outfile = 'CEDARDispersionTXTFixer.output'
out = open(outfile, 'w')
if opts.comparison is True: outcomp = open('CEDARDispersionTXTFixer.output.comparison', 'w')
if opts.reference is not None: outref = open('dispersion.txt', 'w')
if verbose: print '\n You did not specify output filename. Will use default CEDARDispersionTXTFixer.output'
#main loop
for file in txtfiles:
if verbose: print '\nTrying to open file: %s' % file
try:
fulldata = open(file, 'r').readlines()
except:
if verbose: print '\nERROR: Cannot read file %s' % file
pass
#splits the file
sdata = [line.strip().split() for line in fulldata]
filename = sdata[0][0]
#gets all coefficients
coeffs = []
RMS = ''
if verbose: print '\nSearching for coefficient values...'
for line in sdata:
try:
if line[0].startswith('C'):
if verbose: print '\nFound:', line
coeffs.append([line[2], line[4]])
if line[0].startswith('RMS'):
if verbose: print '\nRMS of fit was %s' % line[4]
RMS = line[4]
except: pass
if verbose: print '\nTrying to find equivalent (%s) FITS file for header information...' % filename
#Tries to open equivalent FITS file
try:
hdr0 = PF.open(filename)[0].header
except:
if verbose: print '\nERROR: Could not open %s. Will not get header information.' % filename
pass
#Tries to get all required header keywords
try:
cenwav = hdr0['CENWAVE']
stripe = hdr0['SEGMENT']
grating = hdr0['OPT_ELEM']
fppos = hdr0['FPPOS']
aperture = hdr0['APERTURE']
except:
if verbose: print '\nERROR: Could not read all required header keywords of %s' % filename
cenwave = 'NA'
strip = 'XNA'
grating = 'NA'
fppos = 'NA'
aperture = 'NA'
#comparison to CDBS
#should be rewritten, as it now opens the file for nothing on every round...
if opts.comparison is True:
if verbose: print '\nWill try to compare calculated results to the dispersion solution of TV06 data.'
try:
if stripe.startswith('N'):
if verbose: print 'Trying to open %s' % cdbspath + nuvfile
CDBSdata = PF.open(cdbspath + nuvfile)[1].data
CDBScoeff = [line[5] for line in CDBSdata
if line[0].strip() == stripe and
line[1].strip() == grating and
line[2].strip() == aperture and
line[3] == cenwav]
if stripe.startswith('F'):
if verbose: print 'Trying to open %s' % cdbspath + fuvfile
CDBSdata = PF.open(cdbspath + fuvfile)[1].data
CDBScoeff = [line[5] for line in CDBSdata
if line[0].strip() == stripe and
line[1].strip() == grating and
line[2].strip() == aperture and
line[3] == cenwav]
except:
if verbose: print '\nERROR: Cannot open CDBS file...'
CDBScoeff = 'NA'
#lets calculate delta
delta = []
for new, old in zip(coeffs, CDBScoeff[0]):
delta.append(float(new[0]) - old)
#some quick results to screen
if verbose: print stripe, grating, aperture, cenwav, fppos, coeffs, CDBScoeff, delta
#output
cfs = ''
CDBSfs = ''
deltas = ''
for x in coeffs:
cfs += x[0] + ' ' + x[1] + ' '
if opts.comparison is True:
for x in CDBScoeff[0]: CDBSfs += str(x) + ' '
for x in delta: deltas += str(x) + ' '
else:
CDBSfs = ' '
#normal outputs
if verbose: print '\nWill output data to %s' % outfile
out.write(stripe + ' ' + grating + ' ' + aperture + ' ' + str(cenwav) +
' ' + str(fppos) + ' ' + cfs + CDBSfs + deltas + '\n')
#output in reference file format
if opts.reference is True:
if verbose: print '\nWill output data to dispersion.txt'
outref.write(stripe + ' ' + grating + ' ' + aperture + ' ' + str(cenwav) +
' ' + str(fppos) + ' ' + coeffs[0][0] + ' ' + coeffs[1][0] + ' ' + coeffs[2][0] +
' ' + coeffs[3][0] + '\n')
#comparison output
if opts.comparison is True:
if verbose: print '\nWill output data to %s' % outfile + '.comparison'
outcomp.write(stripe + ' ' + grating + ' ' + aperture + ' ' + str(cenwav) +
' ' + str(fppos) + ' ' + deltas + '\n')
#closes open files
out.close()
if opts.comparison: outcomp.close()
if opts.reference: outref.close()
#exits
if verbose: print '\n\nScripts finished...'
sys.exit(0)
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] | 1.963568 | 3,980 |
#
# Author: Henrique Pereira Coutada Miranda
# Run a IP calculation using yambo
#
from __future__ import print_function
import sys
from yambopy import *
from qepy import *
import argparse
#parse options
parser = argparse.ArgumentParser(description='Test the yambopy script.')
parser.add_argument('-dg','--doublegrid', action="store_true", help='Use double grid')
parser.add_argument('-c', '--calc', action="store_true", help='calculate the IP absorption')
parser.add_argument('-p', '--plot', action="store_true", help='plot the results')
args = parser.parse_args()
if len(sys.argv)==1:
parser.print_help()
sys.exit(1)
yambo = "yambo"
folder = 'ip'
#check if the SAVE folder is present
if not os.path.isdir('database/SAVE'):
print('preparing yambo database')
os.system('mkdir -p database')
os.system('cd nscf/bn.save; p2y > p2y.log')
os.system('cd nscf/bn.save; yambo > yambo.log')
os.system('mv nscf/bn.save/SAVE database')
if not os.path.isdir(folder):
os.mkdir(folder)
os.system('cp -r database/SAVE %s'%folder)
#initialize the double grid
if args.doublegrid:
print("creating double grid")
f = open('%s/ypp.in'%folder,'w')
f.write("""kpts_map
%DbGd_DB1_paths
"../database_double"
%""")
f.close()
os.system('cd %s; ypp'%folder)
if args.calc:
#create the yambo input file
y = YamboIn('yambo -o g -V all',folder=folder)
y['FFTGvecs'] = [30,'Ry']
y['BndsRnXs'] = [1,30]
y['QpntsRXd'] = [[1,1],'']
y['ETStpsXd'] = 500
y.write('%s/yambo_run.in'%folder)
print('running yambo')
os.system('cd %s; %s -F yambo_run.in -J yambo'%(folder,yambo))
if args.plot:
#pack in a json file
y = YamboOut(folder)
y.pack()
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7,
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220,
220,
220,
331,
13,
8002,
3419,
198
] | 2.367989 | 731 |
# Generated by Django 3.1.12 on 2021-09-21 16:11
from django.db import migrations, models
| [
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] | 2.875 | 32 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from .sample.ddd import DddDataset
from .sample.exdet import EXDetDataset
from .sample.ctdet import CTDetDataset
from .sample.multi_pose import MultiPoseDataset
from .dataset.coco import COCO
from .dataset.pascal import PascalVOC
from .dataset.kitti import KITTI
from .dataset.coco_hp import COCOHP
from .dataset.traffic_car_kitti import KITTI as TRATTIC_CAR
from .dataset.multiview_kitti import KITTI as MULTIVIEW
dataset_factory = {
'coco': COCO,
'pascal': PascalVOC,
'kitti': KITTI,
'coco_hp': COCOHP,
'traffic_car': TRATTIC_CAR,
'multiview': MULTIVIEW
}
_sample_factory = {
'exdet': EXDetDataset,
'ctdet': CTDetDataset,
'ddd': DddDataset,
'multi_pose': MultiPoseDataset
}
| [
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] | 2.459215 | 331 |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.3 on 2016-11-24 00:55
from __future__ import unicode_literals
from django.db import migrations, models
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] | 2.736842 | 57 |
__all__ = ('MessageActivity', )
from .preinstanced import MessageActivityType
class MessageActivity:
"""
Might be sent with a ``Message``, if it has rich presence-related chat embeds.
Attributes
----------
party_id : `str`
The message application's party's id. Can be empty string.
type : ``MessageActivityType``
The message application's type.
"""
__slots__ = ('party_id', 'type',)
def __init__(self, data):
"""
Creates a new ``MessageActivity`` from message activity data included inside of a ``Message``'s data.
Parameters
----------
data : `dict` of (`str`, `Any`) items
Message activity data.
"""
self.party_id = data.get('party_id','')
self.type = MessageActivityType.get(data['type'])
def __eq__(self, other):
"""Returns whether the two message activities are equal."""
if type(self) is not type(other):
return NotImplemented
if self.type is not other.type:
return False
if self.party_id != other.party_id:
return False
return True
def __repr__(self):
"""Returns the message activity's representation."""
return f'<{self.__class__.__name__} type={self.type.name} ({self.type.value}), party_id={self.party_id!r}>'
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34758,
944,
13,
10608,
62,
312,
0,
81,
92,
29,
6,
198
] | 2.379898 | 587 |
import contextlib
import warnings
| [
11748,
4732,
8019,
198,
11748,
14601,
628
] | 5 | 7 |
VERSION = '0.2.26'
| [
43717,
796,
705,
15,
13,
17,
13,
2075,
6,
198
] | 1.9 | 10 |
from flask_wtf import FlaskForm
from wtforms import StringField,PasswordField,SubmitField,BooleanField,SubmitField,TextAreaField,RadioField
from wtforms.validators import Required,Email,EqualTo
from wtforms import ValidationError
| [
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266,
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628,
198
] | 3.640625 | 64 |
from setuptools import setup, find_packages
with open('requirements.txt') as f:
requirements = f.readlines()
setup(
name ='TChatBot',
version ='0.1.0',
author ='Deepraj Baidya',
author_email ='[email protected]',
url ='https://github.com/deepraj1729/TChatBot',
description ='A ChatBot framework to create customizable all purpose Chatbots using NLP, Tensorflow, Speech Recognition',
long_description = readme(),
long_description_content_type ="text/markdown",
license ='MIT',
packages = find_packages(),
entry_points ={
'console_scripts': [
'tchatbot = TChatBot.main:main'
]
},
classifiers =(
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
),
keywords ='A Customizable ChatBot framework with Tensorflow,NLP,Speech Recognition',
include_package_data = True,
install_requires = requirements,
zip_safe = False
)
| [
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1,
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220,
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197,
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11,
220,
198,
197,
197,
13344,
62,
21230,
796,
10352,
198,
8,
220,
198
] | 2.657534 | 365 |
# -----------------------------------------------------------------------------
# Program Name: calvo_trainer.py
# Program Description: Rodan wrapper for Fast Calvo's classifier training
# -----------------------------------------------------------------------------
# Core
import logging
import sys
# Third-party
from celery.utils.log import get_task_logger
# Project
from rodan.celery import app
from rodan.jobs.base import RodanTask
from rodan.jobs.Calvo_classifier.fast_trainer_lib import CalvoTrainer
"""Wrap Patchwise (Fast) Calvo classifier training in Rodan."""
logger = get_task_logger(__name__)
| [
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7,
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8,
628
] | 3.850932 | 161 |
from pynflate.lz77 import Lz77
| [
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2704,
378,
13,
75,
89,
3324,
1330,
406,
89,
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] | 2.285714 | 14 |
from django import forms
from .models import Inscricao, Hospedagem
| [
6738,
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764,
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276,
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368,
628,
198
] | 3.181818 | 22 |
# coding=utf-8
from flask import Response
from app import app
@app.route("/assert-xpath")
@app.route("/assert-xpath-svg")
@app.route("/assert-xpath-simple-namespaces")
@app.route("/assert-xpath-namespaces")
| [
2,
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] | 2.6875 | 80 |
# The `pyspark` shell command can be used to run an interactive shell for debugging purposes (preferably only on smaller datasets)
import sys
from pyspark import SparkContext, SparkConf
conf = SparkConf().setAppName("Ex1")
sc = SparkContext(conf=conf)
text_file = sc.textFile("hdfs://localhost:9000/input/")
output = text_file.map(foreach)
output.saveAsTextFile("hdfs://localhost:9000/output/")
sc.stop()
| [
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] | 3.170543 | 129 |
# coding: utf-8
"""
Yapily API
To access endpoints that require authentication, use your application key and secret created in the Dashboard (https://dashboard.yapily.com) # noqa: E501
OpenAPI spec version: 0.0.155
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
from yapily.models.amount import Amount # noqa: F401,E501
from yapily.models.charge_details import ChargeDetails # noqa: F401,E501
from yapily.models.frequency_response import FrequencyResponse # noqa: F401,E501
from yapily.models.payee import Payee # noqa: F401,E501
from yapily.models.payment_status_details import PaymentStatusDetails # noqa: F401,E501
class PaymentResponse(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
swagger_types = {
'id': 'str',
'payment_idempotency_id': 'str',
'institution_consent_id': 'str',
'payment_lifecycle_id': 'str',
'status': 'str',
'status_details': 'PaymentStatusDetails',
'payee_details': 'Payee',
'reference': 'str',
'amount': 'float',
'currency': 'str',
'amount_details': 'Amount',
'first_payment_amount': 'Amount',
'first_payment_date_time': 'datetime',
'next_payment_amount': 'Amount',
'next_payment_date_time': 'datetime',
'final_payment_amount': 'Amount',
'final_payment_date_time': 'datetime',
'created_at': 'datetime',
'previous_payment_amount': 'Amount',
'previous_payment_date_time': 'datetime',
'charge_details': 'list[ChargeDetails]',
'scheduled_payment_type': 'str',
'scheduled_payment_date_time': 'datetime',
'frequency': 'FrequencyResponse'
}
attribute_map = {
'id': 'id',
'payment_idempotency_id': 'paymentIdempotencyId',
'institution_consent_id': 'institutionConsentId',
'payment_lifecycle_id': 'paymentLifecycleId',
'status': 'status',
'status_details': 'statusDetails',
'payee_details': 'payeeDetails',
'reference': 'reference',
'amount': 'amount',
'currency': 'currency',
'amount_details': 'amountDetails',
'first_payment_amount': 'firstPaymentAmount',
'first_payment_date_time': 'firstPaymentDateTime',
'next_payment_amount': 'nextPaymentAmount',
'next_payment_date_time': 'nextPaymentDateTime',
'final_payment_amount': 'finalPaymentAmount',
'final_payment_date_time': 'finalPaymentDateTime',
'created_at': 'createdAt',
'previous_payment_amount': 'previousPaymentAmount',
'previous_payment_date_time': 'previousPaymentDateTime',
'charge_details': 'chargeDetails',
'scheduled_payment_type': 'scheduledPaymentType',
'scheduled_payment_date_time': 'scheduledPaymentDateTime',
'frequency': 'frequency'
}
def __init__(self, id=None, payment_idempotency_id=None, institution_consent_id=None, payment_lifecycle_id=None, status=None, status_details=None, payee_details=None, reference=None, amount=None, currency=None, amount_details=None, first_payment_amount=None, first_payment_date_time=None, next_payment_amount=None, next_payment_date_time=None, final_payment_amount=None, final_payment_date_time=None, created_at=None, previous_payment_amount=None, previous_payment_date_time=None, charge_details=None, scheduled_payment_type=None, scheduled_payment_date_time=None, frequency=None): # noqa: E501
"""PaymentResponse - a model defined in Swagger""" # noqa: E501
self._id = None
self._payment_idempotency_id = None
self._institution_consent_id = None
self._payment_lifecycle_id = None
self._status = None
self._status_details = None
self._payee_details = None
self._reference = None
self._amount = None
self._currency = None
self._amount_details = None
self._first_payment_amount = None
self._first_payment_date_time = None
self._next_payment_amount = None
self._next_payment_date_time = None
self._final_payment_amount = None
self._final_payment_date_time = None
self._created_at = None
self._previous_payment_amount = None
self._previous_payment_date_time = None
self._charge_details = None
self._scheduled_payment_type = None
self._scheduled_payment_date_time = None
self._frequency = None
self.discriminator = None
if id is not None:
self.id = id
if payment_idempotency_id is not None:
self.payment_idempotency_id = payment_idempotency_id
if institution_consent_id is not None:
self.institution_consent_id = institution_consent_id
if payment_lifecycle_id is not None:
self.payment_lifecycle_id = payment_lifecycle_id
if status is not None:
self.status = status
if status_details is not None:
self.status_details = status_details
if payee_details is not None:
self.payee_details = payee_details
if reference is not None:
self.reference = reference
if amount is not None:
self.amount = amount
if currency is not None:
self.currency = currency
if amount_details is not None:
self.amount_details = amount_details
if first_payment_amount is not None:
self.first_payment_amount = first_payment_amount
if first_payment_date_time is not None:
self.first_payment_date_time = first_payment_date_time
if next_payment_amount is not None:
self.next_payment_amount = next_payment_amount
if next_payment_date_time is not None:
self.next_payment_date_time = next_payment_date_time
if final_payment_amount is not None:
self.final_payment_amount = final_payment_amount
if final_payment_date_time is not None:
self.final_payment_date_time = final_payment_date_time
if created_at is not None:
self.created_at = created_at
if previous_payment_amount is not None:
self.previous_payment_amount = previous_payment_amount
if previous_payment_date_time is not None:
self.previous_payment_date_time = previous_payment_date_time
if charge_details is not None:
self.charge_details = charge_details
if scheduled_payment_type is not None:
self.scheduled_payment_type = scheduled_payment_type
if scheduled_payment_date_time is not None:
self.scheduled_payment_date_time = scheduled_payment_date_time
if frequency is not None:
self.frequency = frequency
@property
def id(self):
"""Gets the id of this PaymentResponse. # noqa: E501
:return: The id of this PaymentResponse. # noqa: E501
:rtype: str
"""
return self._id
@id.setter
def id(self, id):
"""Sets the id of this PaymentResponse.
:param id: The id of this PaymentResponse. # noqa: E501
:type: str
"""
self._id = id
@property
def payment_idempotency_id(self):
"""Gets the payment_idempotency_id of this PaymentResponse. # noqa: E501
:return: The payment_idempotency_id of this PaymentResponse. # noqa: E501
:rtype: str
"""
return self._payment_idempotency_id
@payment_idempotency_id.setter
def payment_idempotency_id(self, payment_idempotency_id):
"""Sets the payment_idempotency_id of this PaymentResponse.
:param payment_idempotency_id: The payment_idempotency_id of this PaymentResponse. # noqa: E501
:type: str
"""
self._payment_idempotency_id = payment_idempotency_id
@property
def institution_consent_id(self):
"""Gets the institution_consent_id of this PaymentResponse. # noqa: E501
:return: The institution_consent_id of this PaymentResponse. # noqa: E501
:rtype: str
"""
return self._institution_consent_id
@institution_consent_id.setter
def institution_consent_id(self, institution_consent_id):
"""Sets the institution_consent_id of this PaymentResponse.
:param institution_consent_id: The institution_consent_id of this PaymentResponse. # noqa: E501
:type: str
"""
self._institution_consent_id = institution_consent_id
@property
def payment_lifecycle_id(self):
"""Gets the payment_lifecycle_id of this PaymentResponse. # noqa: E501
:return: The payment_lifecycle_id of this PaymentResponse. # noqa: E501
:rtype: str
"""
return self._payment_lifecycle_id
@payment_lifecycle_id.setter
def payment_lifecycle_id(self, payment_lifecycle_id):
"""Sets the payment_lifecycle_id of this PaymentResponse.
:param payment_lifecycle_id: The payment_lifecycle_id of this PaymentResponse. # noqa: E501
:type: str
"""
self._payment_lifecycle_id = payment_lifecycle_id
@property
def status(self):
"""Gets the status of this PaymentResponse. # noqa: E501
:return: The status of this PaymentResponse. # noqa: E501
:rtype: str
"""
return self._status
@status.setter
def status(self, status):
"""Sets the status of this PaymentResponse.
:param status: The status of this PaymentResponse. # noqa: E501
:type: str
"""
allowed_values = ["PENDING", "FAILED", "DECLINED", "COMPLETED", "EXPIRED", "UNKNOWN", "ACTIVE", "INACTIVE"] # noqa: E501
if status not in allowed_values:
raise ValueError(
"Invalid value for `status` ({0}), must be one of {1}" # noqa: E501
.format(status, allowed_values)
)
self._status = status
@property
def status_details(self):
"""Gets the status_details of this PaymentResponse. # noqa: E501
:return: The status_details of this PaymentResponse. # noqa: E501
:rtype: PaymentStatusDetails
"""
return self._status_details
@status_details.setter
def status_details(self, status_details):
"""Sets the status_details of this PaymentResponse.
:param status_details: The status_details of this PaymentResponse. # noqa: E501
:type: PaymentStatusDetails
"""
self._status_details = status_details
@property
def payee_details(self):
"""Gets the payee_details of this PaymentResponse. # noqa: E501
:return: The payee_details of this PaymentResponse. # noqa: E501
:rtype: Payee
"""
return self._payee_details
@payee_details.setter
def payee_details(self, payee_details):
"""Sets the payee_details of this PaymentResponse.
:param payee_details: The payee_details of this PaymentResponse. # noqa: E501
:type: Payee
"""
self._payee_details = payee_details
@property
def reference(self):
"""Gets the reference of this PaymentResponse. # noqa: E501
:return: The reference of this PaymentResponse. # noqa: E501
:rtype: str
"""
return self._reference
@reference.setter
def reference(self, reference):
"""Sets the reference of this PaymentResponse.
:param reference: The reference of this PaymentResponse. # noqa: E501
:type: str
"""
self._reference = reference
@property
def amount(self):
"""Gets the amount of this PaymentResponse. # noqa: E501
:return: The amount of this PaymentResponse. # noqa: E501
:rtype: float
"""
return self._amount
@amount.setter
def amount(self, amount):
"""Sets the amount of this PaymentResponse.
:param amount: The amount of this PaymentResponse. # noqa: E501
:type: float
"""
self._amount = amount
@property
def currency(self):
"""Gets the currency of this PaymentResponse. # noqa: E501
:return: The currency of this PaymentResponse. # noqa: E501
:rtype: str
"""
return self._currency
@currency.setter
def currency(self, currency):
"""Sets the currency of this PaymentResponse.
:param currency: The currency of this PaymentResponse. # noqa: E501
:type: str
"""
self._currency = currency
@property
def amount_details(self):
"""Gets the amount_details of this PaymentResponse. # noqa: E501
:return: The amount_details of this PaymentResponse. # noqa: E501
:rtype: Amount
"""
return self._amount_details
@amount_details.setter
def amount_details(self, amount_details):
"""Sets the amount_details of this PaymentResponse.
:param amount_details: The amount_details of this PaymentResponse. # noqa: E501
:type: Amount
"""
self._amount_details = amount_details
@property
def first_payment_amount(self):
"""Gets the first_payment_amount of this PaymentResponse. # noqa: E501
:return: The first_payment_amount of this PaymentResponse. # noqa: E501
:rtype: Amount
"""
return self._first_payment_amount
@first_payment_amount.setter
def first_payment_amount(self, first_payment_amount):
"""Sets the first_payment_amount of this PaymentResponse.
:param first_payment_amount: The first_payment_amount of this PaymentResponse. # noqa: E501
:type: Amount
"""
self._first_payment_amount = first_payment_amount
@property
def first_payment_date_time(self):
"""Gets the first_payment_date_time of this PaymentResponse. # noqa: E501
:return: The first_payment_date_time of this PaymentResponse. # noqa: E501
:rtype: datetime
"""
return self._first_payment_date_time
@first_payment_date_time.setter
def first_payment_date_time(self, first_payment_date_time):
"""Sets the first_payment_date_time of this PaymentResponse.
:param first_payment_date_time: The first_payment_date_time of this PaymentResponse. # noqa: E501
:type: datetime
"""
self._first_payment_date_time = first_payment_date_time
@property
def next_payment_amount(self):
"""Gets the next_payment_amount of this PaymentResponse. # noqa: E501
:return: The next_payment_amount of this PaymentResponse. # noqa: E501
:rtype: Amount
"""
return self._next_payment_amount
@next_payment_amount.setter
def next_payment_amount(self, next_payment_amount):
"""Sets the next_payment_amount of this PaymentResponse.
:param next_payment_amount: The next_payment_amount of this PaymentResponse. # noqa: E501
:type: Amount
"""
self._next_payment_amount = next_payment_amount
@property
def next_payment_date_time(self):
"""Gets the next_payment_date_time of this PaymentResponse. # noqa: E501
:return: The next_payment_date_time of this PaymentResponse. # noqa: E501
:rtype: datetime
"""
return self._next_payment_date_time
@next_payment_date_time.setter
def next_payment_date_time(self, next_payment_date_time):
"""Sets the next_payment_date_time of this PaymentResponse.
:param next_payment_date_time: The next_payment_date_time of this PaymentResponse. # noqa: E501
:type: datetime
"""
self._next_payment_date_time = next_payment_date_time
@property
def final_payment_amount(self):
"""Gets the final_payment_amount of this PaymentResponse. # noqa: E501
:return: The final_payment_amount of this PaymentResponse. # noqa: E501
:rtype: Amount
"""
return self._final_payment_amount
@final_payment_amount.setter
def final_payment_amount(self, final_payment_amount):
"""Sets the final_payment_amount of this PaymentResponse.
:param final_payment_amount: The final_payment_amount of this PaymentResponse. # noqa: E501
:type: Amount
"""
self._final_payment_amount = final_payment_amount
@property
def final_payment_date_time(self):
"""Gets the final_payment_date_time of this PaymentResponse. # noqa: E501
:return: The final_payment_date_time of this PaymentResponse. # noqa: E501
:rtype: datetime
"""
return self._final_payment_date_time
@final_payment_date_time.setter
def final_payment_date_time(self, final_payment_date_time):
"""Sets the final_payment_date_time of this PaymentResponse.
:param final_payment_date_time: The final_payment_date_time of this PaymentResponse. # noqa: E501
:type: datetime
"""
self._final_payment_date_time = final_payment_date_time
@property
def created_at(self):
"""Gets the created_at of this PaymentResponse. # noqa: E501
:return: The created_at of this PaymentResponse. # noqa: E501
:rtype: datetime
"""
return self._created_at
@created_at.setter
def created_at(self, created_at):
"""Sets the created_at of this PaymentResponse.
:param created_at: The created_at of this PaymentResponse. # noqa: E501
:type: datetime
"""
self._created_at = created_at
@property
def previous_payment_amount(self):
"""Gets the previous_payment_amount of this PaymentResponse. # noqa: E501
:return: The previous_payment_amount of this PaymentResponse. # noqa: E501
:rtype: Amount
"""
return self._previous_payment_amount
@previous_payment_amount.setter
def previous_payment_amount(self, previous_payment_amount):
"""Sets the previous_payment_amount of this PaymentResponse.
:param previous_payment_amount: The previous_payment_amount of this PaymentResponse. # noqa: E501
:type: Amount
"""
self._previous_payment_amount = previous_payment_amount
@property
def previous_payment_date_time(self):
"""Gets the previous_payment_date_time of this PaymentResponse. # noqa: E501
:return: The previous_payment_date_time of this PaymentResponse. # noqa: E501
:rtype: datetime
"""
return self._previous_payment_date_time
@previous_payment_date_time.setter
def previous_payment_date_time(self, previous_payment_date_time):
"""Sets the previous_payment_date_time of this PaymentResponse.
:param previous_payment_date_time: The previous_payment_date_time of this PaymentResponse. # noqa: E501
:type: datetime
"""
self._previous_payment_date_time = previous_payment_date_time
@property
def charge_details(self):
"""Gets the charge_details of this PaymentResponse. # noqa: E501
:return: The charge_details of this PaymentResponse. # noqa: E501
:rtype: list[ChargeDetails]
"""
return self._charge_details
@charge_details.setter
def charge_details(self, charge_details):
"""Sets the charge_details of this PaymentResponse.
:param charge_details: The charge_details of this PaymentResponse. # noqa: E501
:type: list[ChargeDetails]
"""
self._charge_details = charge_details
@property
def scheduled_payment_type(self):
"""Gets the scheduled_payment_type of this PaymentResponse. # noqa: E501
:return: The scheduled_payment_type of this PaymentResponse. # noqa: E501
:rtype: str
"""
return self._scheduled_payment_type
@scheduled_payment_type.setter
def scheduled_payment_type(self, scheduled_payment_type):
"""Sets the scheduled_payment_type of this PaymentResponse.
:param scheduled_payment_type: The scheduled_payment_type of this PaymentResponse. # noqa: E501
:type: str
"""
self._scheduled_payment_type = scheduled_payment_type
@property
def scheduled_payment_date_time(self):
"""Gets the scheduled_payment_date_time of this PaymentResponse. # noqa: E501
:return: The scheduled_payment_date_time of this PaymentResponse. # noqa: E501
:rtype: datetime
"""
return self._scheduled_payment_date_time
@scheduled_payment_date_time.setter
def scheduled_payment_date_time(self, scheduled_payment_date_time):
"""Sets the scheduled_payment_date_time of this PaymentResponse.
:param scheduled_payment_date_time: The scheduled_payment_date_time of this PaymentResponse. # noqa: E501
:type: datetime
"""
self._scheduled_payment_date_time = scheduled_payment_date_time
@property
def frequency(self):
"""Gets the frequency of this PaymentResponse. # noqa: E501
:return: The frequency of this PaymentResponse. # noqa: E501
:rtype: FrequencyResponse
"""
return self._frequency
@frequency.setter
def frequency(self, frequency):
"""Sets the frequency of this PaymentResponse.
:param frequency: The frequency of this PaymentResponse. # noqa: E501
:type: FrequencyResponse
"""
self._frequency = frequency
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.swagger_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
result[attr] = value
return result
def to_str(self):
"""Returns the string representation of the model"""
return pprint.pformat(self.to_dict())
def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, PaymentResponse):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other
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"""Classes for interacting with the Twitter API."""
import datetime
import oauth2
from urllib.parse import urlencode
import json
from typing import Any
REQUEST_TOKEN_URL = "https://api.twitter.com/oauth/request_token"
AUTHORIZE_URL = "https://api.twitter.com/oauth/authorize"
ACCESS_TOKEN_URL = "https://api.twitter.com/oauth/access_token"
LIST_FRIENDS_URL = "https://api.twitter.com/1.1/friends/ids.json"
CREATE_LIST_URL = "https://api.twitter.com/1.1/lists/create.json"
LIST_RATE_LIMITS_URL = "https://api.twitter.com/1.1/application/rate_limit_status.json"
ADD_LIST_MEMBERS_URL = "https://api.twitter.com/1.1/lists/members/create_all.json"
DELETE_LIST_URL = "https://api.twitter.com/1.1/lists/destroy.json"
LOOKUP_FRIENDSHIPS_URL = "https://api.twitter.com/1.1/friendships/lookup.json"
SHOW_USER_URL = "https://api.twitter.com/1.1/users/show.json"
BASE_WEB_URL = "https://twitter.com"
INVALIDATE_TOKEN_URL = "https://api.twitter.com/1.1/oauth/invalidate_token"
class TwitterClient:
"""Class for interacting with the Twitter API on behalf of a Twitter user via OAuth."""
def __init__(self, oauth_client: Any = None, consumer_key: str = None, consumer_secret: str = None, callback_url: str = None) -> None:
"""Initialize an oauth2 client, or stash the one provided."""
self.callback_url = callback_url
if oauth_client:
self.oauth_client = oauth_client
elif (consumer_key is not None) and (consumer_secret is not None):
consumer = oauth2.Consumer(key=consumer_key, secret=consumer_secret)
self.oauth_client = oauth2.Client(consumer)
else:
raise Exception("Please supply either an oauth_client argument or a consumer_key + consumer_secret pair")
@classmethod
def from_flask_app(cls, flask_app: Any):
"""Construct a TwitterClient using config from a Flask app."""
return cls(consumer_key=flask_app.config["TWITTER_CONSUMER_KEY"],
consumer_secret=flask_app.config["TWITTER_CONSUMER_SECRET"],
callback_url=flask_app.config["TWITTER_CALLBACK_URL"])
def get_request_token(self) -> oauth2.Token:
"""Get a Twitter OAuth request token for step 1 of OAuth flow."""
client = self.oauth_client
callback_url = self.callback_url
request_body = urlencode({'oauth_callback': callback_url})
headers, body = client.request(REQUEST_TOKEN_URL, method='POST', body=request_body)
if headers.status != 200:
raise OAuthRequestError("Fetching request token failed", headers, body)
token = self.parse_oauth_response(headers, body)
if token.callback_confirmed != "true":
raise InvalidOAuthResponseError("Bad request token response - callback unconfirmed", headers, body)
return token
def parse_oauth_response(self, headers: Any, body: bytes) -> oauth2.Token:
"""Parse a Twitter OAuth request token response or an authorize token response."""
try:
token = oauth2.Token.from_string(body.decode())
except ValueError:
raise InvalidOAuthResponseError("Bad OAuth response - missing required values", headers, body)
return token
def parse_api_response(self, headers: Any, body: bytes) -> Any:
"""Parse a Twitter API response body and return it as a dict."""
body = body.decode()
try:
parsed_body = json.loads(body)
except json.JSONDecodeError as e:
raise TwitterError("Parsing API response failed: " + str(e), headers, body)
return parsed_body
def get_authorize_url_for_token(self, oauth_token: str) -> str:
"""Get a Twitter OAuth authorization URL for step 2 of OAuth."""
twitter_auth_url = AUTHORIZE_URL
if twitter_auth_url[-1] != '?':
twitter_auth_url = twitter_auth_url + '?'
return twitter_auth_url + urlencode({"oauth_token": oauth_token})
def invalidate_token(self) -> bool:
"""Invalidate the current OAuth access token."""
headers, body = self.oauth_client.request(INVALIDATE_TOKEN_URL, method="POST")
if headers.status != 200:
raise OAuthRequestError("Failed to invalidate OAuth access token", headers, body)
return True
def get_full_list_url(self, twitter_list: dict) -> str:
"""Get a full Twitter URL from a twitter list returned by the API."""
return BASE_WEB_URL + twitter_list["uri"]
def set_client_token(self, oauth_token: str, oauth_token_secret: str, verifier: Any = None) -> oauth2.Token:
"""Create an oauth2.Token and set it on our oauth_client."""
token = oauth2.Token(oauth_token, oauth_token_secret)
if verifier:
token.set_verifier(verifier)
self.oauth_client.token = token
return token
def authorize_oauth_token(self, oauth_token: str, oauth_token_secret: str, oauth_verifier: str) -> oauth2.Token:
"""Get an OAuth token from Twitter using an authorized request token - final step of three-legged OAuth."""
self.set_client_token(oauth_token, oauth_token_secret, oauth_verifier)
headers, body = self.oauth_client.request(ACCESS_TOKEN_URL, method='POST')
if headers.status != 200:
raise OAuthRequestError("Request token exchange failed", headers, body)
token = self.parse_oauth_response(headers, body)
# set authorized token on our oauth client
self.oauth_client.token = token
return token
def get_following_user_ids(self, screen_name: str, count=5000) -> dict:
"""Get the stringified IDs of the full list of users who screen_name follows."""
params = {"screen_name": screen_name, "stringify_ids": "true", "count": count}
headers, body = self.oauth_client.request(LIST_FRIENDS_URL + '?' + urlencode(params), method='GET')
if headers.status != 200:
if headers.status == RateLimitHit.status:
raise RateLimitHit("Too many requests for following users in a 15-minute period!", headers, body)
raise TwitterError("Fetch following users failed", headers, body)
return self.parse_api_response(headers, body)
def current_user_is_following_user(self, screen_name: str) -> bool:
"""Check if the current user is following screen_name."""
params = {"screen_name": screen_name}
headers, body = self.oauth_client.request(LOOKUP_FRIENDSHIPS_URL + '?' + urlencode(params))
if headers.status != 200:
if headers.status == RateLimitHit.status:
raise RateLimitHit("Too many friendships lookup requests in a 15-minute window!", headers, body)
raise TwitterError("Friendships lookup failed", headers, body)
users = self.parse_api_response(headers, body)
if len(users) != 0 and ('following' in users[0]["connections"]):
return True
return False
def get_user_profile_img_url(self, screen_name: str) -> bool:
"""Get the Twitter profile image URL for <screen_name> (original size)."""
params = {"screen_name": screen_name}
headers, body = self.oauth_client.request(SHOW_USER_URL + '?' + urlencode(params))
if headers.status != 200:
if headers.status == RateLimitHit.status:
raise RateLimitHit("Too many user info lookup requests in a 15-minute window!", headers, body)
raise TwitterError("User info lookup failed", headers, body)
user_info = self.parse_api_response(headers, body)
profile_img_url = user_info.get("profile_image_url")
if profile_img_url:
return profile_img_url.replace("_normal.", ".")
return None
def create_private_list(self, screen_name: str) -> dict:
"""Create a private, empty Twitter list named '<screen_name>'."""
list_settings = {
"mode": "private",
"name": screen_name,
"description": "Feed for {} as of {}".format(screen_name, datetime.date.today().strftime("%m/%-d/%y"))
}
headers, body = self.oauth_client.request(CREATE_LIST_URL + '?' + urlencode(list_settings), method='POST')
if headers.status != 200:
if headers.status == RateLimitHit.status:
raise RateLimitHit("Too many lists created in a 15-minute window!")
raise TwitterError("Private list creation failed", headers, body)
return self.parse_api_response(headers, body)
def delete_list(self, list_id: str) -> bool:
"""Delete a Twitter list."""
headers, body = self.oauth_client.request(DELETE_LIST_URL + '?list_id=' + str(list_id), method='POST')
if headers.status != 200:
if headers.status == RateLimitHit.status:
raise RateLimitHit("Too many delete requests within a 15-minute window!", headers, body)
raise TwitterError("List delete failed", headers, body)
return True
def get_rate_limit_status(self, resource_type: str, endpoint_uri: str) -> int:
"""Get the remaining number of allowed API requests for a Twitter resource type and one of its endpoints.
https://developer.twitter.com/en/docs/developer-utilities/rate-limit-status/api-reference/get-application-rate_limit_status
N.B. Twitter simply does not return the rate limit status for some rate-limited endpoints, like /lists/create,
so, don't rely too heavily on what this returns. Look at API response headers instead.
"""
headers, body = self.oauth_client.request(LIST_RATE_LIMITS_URL + '?resource=' + resource_type, method='GET')
if headers.status != 200:
if headers.status == RateLimitHit.status:
raise RateLimitHit("Too many requests for rate limit status in 15-minute window!", headers, body)
raise TwitterError("Failed to get rate limit status", headers, body)
status_desc_res = self.parse_api_response(headers, body)
endpoint_status_desc = status_desc_res['resources'].get(resource_type, {}).get(endpoint_uri, {})
return endpoint_status_desc['remaining']
def add_users_to_list(self, list_id: str, user_ids: list) -> dict:
"""Add a list of Twitter accounts (user_ids) to a Twitter List (list_id)."""
create_params = {
"list_id": list_id,
"user_id": ",".join(user_ids)
}
headers, body = self.oauth_client.request(ADD_LIST_MEMBERS_URL, method='POST', body=urlencode(create_params))
if headers.status != 200:
if headers.status == RateLimitHit.status:
raise RateLimitHit("Too many members added to a list within a 15-minute window!")
raise TwitterError("Failed to add users to a list", headers, body)
# check for soft rate limit hit
updated_list = self.parse_api_response(headers, body)
if int(updated_list['member_count']) == 0:
raise SoftRateLimitHit("Too many list actions performed for today!", headers, body)
return updated_list
class TwitterError(Exception):
"""Generic Twitter API response error."""
def __init__(self, message: str = None, headers: any = None, body: any = None):
"""Provide a default message and stash API response headers and body."""
if message is None:
message = str(type(self))
super().__init__(message)
self.message = message
self.headers = headers
self.body = body
def __str__(self):
"""Print details about the API response."""
full_desc = self.message
if self.headers or self.body:
full_desc = full_desc + f'. Response details (headers - body): {str(self.headers)} - {str(self.body)}'
return full_desc
class OAuthRequestError(TwitterError):
"""Generic Twitter OAuth error."""
pass
class InvalidOAuthResponseError(TwitterError):
"""Twitter either rejected our OAuth credentials, or the response was invalid."""
pass
class RateLimitHit(TwitterError):
"""Twitter rate limit exceeded response error."""
status = 429 # http status
class SoftRateLimitHit(TwitterError):
"""Twitter soft (hidden) rate limit exceeded - response is 200 but no actions were performed by Twitter.
This means that the user can't perform the action again for at least the next 24 hours.
"""
pass
class TooManyFollowing(TwitterError):
"""Twitter list would have too many members."""
pass
class ZeroFollowing(TwitterError):
"""Twitter list would have zero members."""
pass
class UserNotFollowingTarget(TwitterError):
"""Current user isn't following the target user."""
pass
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628,
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] | 2.640951 | 4,835 |
#snake_case
#camelCase
#StudlyCase
#kebab-case o slug
# Clase A
# Clase B
# Clase C
# Cliente utiliza Clase A o un contenedor con objetos tipo Clase A
# e.g. lista = [] de solo tipo Clase A
from typing import List
class Grupo:
"""docstring for Banda"""
class GrupoMusical(Grupo):
"""docstring for Banda"""
class GrupoBaile(Grupo):
"""docstring for Banda"""
integrantes = ['Ana', 'Claudia', 'Sleiman', 'Irving', 'Raul']
grupo = Grupo(nombre="Diseรฑo y Arquitectura de Software Sistemas UAdeC", integrantes=integrantes[:])
#print(grupo.agregarIntegrante('Carielo').getPropiedades())
grupoMusical = GrupoMusical(nombre="Los Misticos", integrantes=integrantes[:], genero='metal')
#print(grupoMusical.getPropiedades())
grupoBaile = GrupoBaile(nombre="Los Danzoneros", integrantes=integrantes[:], categoria='flamenco')
#print(grupoBaile.getPropiedades())
grupos = [grupo] # type: List[Grupo]
grupos.append(grupoMusical)
grupos.append(grupoBaile)
for grupo in grupos:
if type(grupo) is GrupoMusical:
print(grupo.retornaX())
else:
print(type(grupo))
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] | 2.414474 | 456 |
from gym import spaces
import numpy as np
from scipy import interpolate
import yaml
from navrep.envs.navreptrainenv import NavRepTrainEnv
from navrep.rosnav_models.utils.reward import RewardCalculator
from navrep.rosnav_models.utils.reward import RewardCalculator
class RosnavTrainEncodedEnv(NavRepTrainEnv):
""" takes a (2) action as input
outputs encoded obs (546) """
def setup_by_configuration(
self, robot_yaml_path
):
"""get the configuration from the yaml file, including robot radius, discrete action space and continuous action space.
Args: linear_range
linear_ranger): [description]
"""
with open(robot_yaml_path, "r") as fd:
robot_data = yaml.safe_load(fd)
# get robot radius
for body in robot_data["bodies"]:
if body["name"] == "base_footprint":
for footprint in body["footprints"]:
if footprint["radius"]:
self._robot_radius = footprint["radius"] * 1.05
# get laser related information
for plugin in robot_data["plugins"]:
if plugin["type"] == "Laser":
laser_angle_min = plugin["angle"]["min"]
laser_angle_max = plugin["angle"]["max"]
laser_angle_increment = plugin["angle"]["increment"]
self.laser_range = plugin["range"]
self._laser_num_beams = int(
round(
(laser_angle_max - laser_angle_min)
/ laser_angle_increment
)
+ 1
)
self._laser_max_range = plugin["range"]
self.linear_range = robot_data["robot"]["continuous_actions"]["linear_range"]
self.angular_range = robot_data["robot"]["continuous_actions"]["angular_range"]
@staticmethod | [
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] | 2.057292 | 960 |
from ehi_utils import load_json, dict2dotdict
from mygraph import Graph_Int, Graph_Str
import argparse
import copy
import pickle
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Parser feature file generator")
parser.add_argument("--json_path", type=str, required=True,help="Path to the json config file")
args = parser.parse_args()
configs = load_json(args.json_path)
main(dict2dotdict(configs)) | [
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] | 2.732558 | 172 |
'''
Demonstrates creating objects, object instancing, and object translation.
'''
from pymxs import runtime as rt # pylint: disable=import-error
INST = rt.Name("instance")
def create_borg(obj, num, spacing):
"""Create a bunch of clones of the provided object"""
for i in range(num):
for j in range(num):
for k in range(num):
if i or j or k:
point = rt.Point3(i * spacing, j * spacing, k * spacing)
rt.MaxOps.CloneNodes(obj, cloneType=INST, offset=point)
def main():
"""Create a base object and turn it into a borg, whatever that is."""
obj = rt.sphere()
obj.Radius = 2.0
create_borg(obj, 4, 5.0)
main()
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] | 2.338816 | 304 |
import willie
@willie.module.commands('sandero') | [
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] | 2.882353 | 17 |
import math
import numpy as np
import random
import timeit
from threading import Thread
import functools
dist_ar = [] # ๊ฑฐ๋ฆฌํ(global)
# limit_time = 36 # ์ ํ์๊ฐ(global)
cities_count = 0 # ๋์ ์(global)
dots_list = [] # ๋์ ๋ฆฌ์คํธ(global)
# Hyper Parameter
limits = (60) * 36 # ์ ํ์๊ฐ
MUT = 0.2 # ๋ณ์ดํ๋ฅ
SEL = 0.85 # ์ ํ์
chrCOUNT = 50 # ํด์ง๋จ ๋ด ์ผ์์ฒด ๊ฐ์
selCOUNT = 25 # selection์ ์ ํ๋๋ ์์ ์ผ์์ฒด์ ๊ฐ์
# ์๊ฐ์ ํ ๋ฐ์ฝ๋ ์ดํฐ
# ๊ฑฐ๋ฆฌํ ์ ์(param : ๋ฌธ์ ๊ฒฝ๋ก) : dist_df
# ๊ฑฐ๋ฆฌํ๋ฅผ ์ด์ฉํ ์ ํฉ๋ ๋งค์นญ ํจ์
# 2opt-algorithm
# 0 ~ ranges-1์ ๋ฒ์ ์ค ๋ ๊ฐ๋ฅผ ๋๋ค์ผ๋ก ์ํ๋งํด์ list ๋ฆฌํด
@timeout(limits)
try :
start = timeit.default_timer()
start_GA("2opt_dots/2opt_cycle100.in")
stop = timeit.default_timer()
print(stop - start)
except :
stop = timeit.default_timer()
print(stop - start)
'''
//์ง๋ฌธ
1. 36์ด๋ง์ 200,000์ธ๋๊น์ง ๊ณ์ฐํ๋๊ฑด ์ด๋ ค์ด ์ผ(*GA_2์ฐจ๋ณด๊ณ ์) ๊ฐ์๋ฐ... 36๋ถ์ด ์๋์ง...?
2. population ์ ์ฒด์ 2opt๋ฅผ ์คํํ๋ ์คํ๋ ค ์๋ ด์ ๋ชปํ๋ ๊ฒฐ๊ณผ ๋ฐ์...
ํ์ *selCount๊ฐ์ chromosome์ 2opt๋ฅผ ์ํํ๋๋ ๊ฒฐ๊ณผ๊ฐ ํจ์ฌ ์ข์์.
2opt๋ฅผ ๊ฑฐ์น๋ค๊ณ ํด์ fitness๊ฐ ๋ฌด์กฐ๊ฑด ์ข์์ง๋ ๊ฒ์ ์๋๊ฒ์ ์๊ฒ ๋๋ฐ ์ด๋ป๊ฒ ์ ์ฉํด์ผ ๊ฐ์ฅ ์ต์ ์ผ๊น???
ex) ํ์ ๋ช %๋ง ์ ์ฉ, ์ ์ฉ๊ณผ ๋ฏธ์ ์ฉ์ ๋น๊ตํด์ ์ข์ ๊ฒฝ์ฐ๋ง ๋์น
//์ด์
1. python์์ thread๋ก ํจ์๋ฅผ ์ค๊ฐ์ ์ฃฝ์ด๋๊ฒ windows์์ ์ผ๋ฐ์ ์ผ๋ก ๋ถ๊ฐ. ์ฝ์ง ๋๋ฌด ๋ง์ด ํ์...ใ
๋ฐ์ฝ๋ ์ดํฐ(?)๋ฅผ ๋ง๋ค๊ณ Thread.join (timeout) ๋ฉ์๋๋ฅผ ์ฌ์ฉ.
์ฃฝ์ด๋ ๊ฒ์ ์๋๋ผ์ ๋ฐฑ๊ทธ๋ผ์ด๋์์ ์คํ ์ ์ง.
2. ํน์ ๋ฒ์ ๋ด์ ์ค๋ณต๋์ง ์๋ ๋ ๊ฐ์ ๋๋ค์ ๊ณจ๋ผ๋ด๋ ๊ฒ์๋ ์ฝ์ง ๋ง์ดํจ.
3. ์ฝ๋๋ฅผ ์ข ์์ ํด์ ๋ชจ๋ํ๋ฅผ ์งํํ์ผ๋ ๊ต์๋์ด ์ง๋ํด์ฃผ์๊ธฐ์ ์ข์ง ๋ชปํ ๊ฒ ๊ฐ์์ ๋ค์ ํฉ์นจ...
//๋น๊ต
optGA : numpy + 2-opt GA
numGA : numpy GA
panGA : pandas GA
์๊ฐ์ ํ : 36s
ํ๊ฒ : 2opt_cycle100.in
panGA : generation / fitness
356/2272
375/2349
381/2218
348/2553
381/2467
numGA : generation / fitness
1171/1836
1159/2005
1175/1812
1174/1947
1131/1931
optGA : generation / fitness
1141/1182
1142/1136
1126/1205
1128/1214
1142/1219
'''
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] | 1.033333 | 1,650 |
#!/usr/bin/env python3
if __name__ == "__main__":
target = 999
answer = sum_divisible_upto(target, 3) + sum_divisible_upto(target, 5) - sum_divisible_upto(target, 3 * 5)
print(answer)
| [
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] | 2.373494 | 83 |
import asyncio
import json
import logging
from pathlib import Path
from crawler.queues import UniqueQueue
from crawler.scrapers import URLScraper
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s %(levelname)s: %(message)s",
datefmt="%H:%M:%S",
)
| [
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] | 2.650485 | 103 |
from pathlib import Path
from alphafold.Data.Tools import utils
from typing import Optional, Callable, Any, Mapping, Sequence | [
6738,
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] | 3.787879 | 33 |
"""Distributed simulation service.
"""
# Ensure .config is loaded - it sets up our Dask config.
from .config import Config
def create_app(**kws):
"""Create and return the simulation server Flask app.
kws is passed to the SocketIO constructor.
Also start up coroutines to periodically sync tasks and pack the ZODB
database unless socketio.async_mode is 'threading', in which case only sync
and pack once to avoid concurrency issues. async_mode can be forced by
specifying it in kws, otherwise the Sockiet.IO library auto-detects and
prefers Eventlet. We assume that greenthreads are safe against concurrency
issues, in particular the standard library has not been monkey-patched.
"""
from urllib.parse import urljoin
from flask_socketio import SocketIO
from .tasks import TaskFlask
from .auth import Auth
from . import sockio, jobs, vars
app = TaskFlask(__name__)
app.config.from_object(Config)
auth = Auth(app)
p = app.config['SIMSVC_ROOT']
socketio = sockio.bind_socketio(app, path=urljoin(p, "socket.io"), **kws)
app.register_blueprint(jobs.jobs_bp, url_prefix=urljoin(p, "jobs"))
app.register_blueprint(vars.get_vars, url_prefix=urljoin(p, "default"),
url_defaults={"vtype": "default", "job": None})
app.register_blueprint(
vars.get_vars,
url_prefix=urljoin(p, "jobs/<int:job>/<any(inputs, results):vtype>"))
app.register_blueprint(vars.set_vars, url_prefix=urljoin(p, "default"))
# As a side effect this ensures that app.db and app.client are created.
# If either one is going to fail, we want to know now.
app.logger.info("Connected to database %s", app.db.storage.getName())
cores = app.client.ncores()
app.logger.info("%d workers with %d cores",
len(cores), sum(cores.values()))
if socketio.async_mode == 'threading':
app.logger.info("Periodic sync & pack disabled; only doing once.")
app.sync_tasks()
app.db.pack(days=7)
else:
socketio.start_background_task(task_syncer)
socketio.start_background_task(zodb_packer)
return app
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] | 2.634499 | 829 |
# Source : https://leetcode.com/problems/invert-binary-tree/
# Author : penpenps
# Time : 2019-08-01
# BFS, iterative
# Time Complexity: O(n), the number of tree's nodes
# Space Complexity: O(n), the max node number by level
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
from alipay.aop.api.domain.QuestInstanceDTO import QuestInstanceDTO
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# ==============================================================================
# Copyright (c) 2018, Yamagishi Laboratory, National Institute of Informatics
# Author: Yusuke Yasuda ([email protected])
# All rights reserved.
# ==============================================================================
""" Models. """
import tensorflow as tf
from tacotron.modules import Embedding
from tacotron.tacotron_v1 import EncoderV1, DecoderV1
from tacotron.hooks import MetricsSaver, PostNetMetricsSaver
from util.audio import Audio
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# -*- coding: utf-8 -*-
from mirari.mirari.models import *
from .vars import *
########################################################################################
########################################################################################
VARS = {
'NAME':'Catรกlogo',
'PLURAL':'Catรกlogos',
'MODEL':'Catalogue',
'NEW':'NUEVO',
'NEW_GENDER': 'un nuevo',
'THIS': 'este',
'APP':APP,
'LIST': [
#{
#'field': 'code',
#'title': 'Cรณdigo',
#'width': '50',
#'url': 'property_url_update'
#},
{
'field': 'get_name_with_color',
'title': 'Nombre',
'template': '{{get_name_with_color}}',
'sortable': 'desc',
'url': 'url_update'
},
{
'field': 'description',
'title': 'Descripciรณn',
'template': '<div class="kt-regular-font-size-sm5" style="line-height:15px;">{{property_get_description}}</div>',
},
],
'SERIALIZER': ('get_description','get_name_with_color'),
'SEARCH': ['name','code'],
'SORTEABLE': ['code'],
'SUMMERNOTE': ['description'],
'EXCLUDE_FORM': ['code','is_active','active','organization'],
}
########################################################################################
########################################################################################
VARS = {
'NAME':'Equipo',
'PLURAL':'Equipos',
'MODEL':'Team',
'NEW':'NUEVO',
'NEW_GENDER': 'un nuevo',
'THIS': 'este',
'APP':APP,
'LIST': [
{
'field': 'name',
'title': 'Nombre',
'url': 'property_url_update',
'width':'200',
'sorteable': True,
'serchable': True,
},
{
'field': 'get_code',
'title': 'Cรณdigo',
'width':'200',
},
{
'field': 'get_members',
'title': 'Miebros',
'template': '<div class="kt-regular-font-size-sm5" style="line-height:15px;">{{get_members}}</div>',
},
],
'SELECTQ': {
'members': {
'plugin': 'select2',
},
},
}
########################################################################################
########################################################################################
VARS = {
'NAME':'Manual',
'PLURAL':'Manuales',
'MODEL':'Handbook',
'NEW':'NUEVO',
'NEW_GENDER': 'un nuevo',
'THIS': 'este',
'APP':APP,
'LIST': [
{
'field': 'name',
'title': 'Nombre',
'template':
"""
<a href="{{file}}" target="_blank class="a-no">
{{name}}
</a>
""",
'url': 'url_update',
'sorteable': True,
'serchable': True,
},
{
'field': 'get_notes',
'title': 'Notas',
'template':
"""
<small>
{{get_notes}}
</small>
""",
'url': 'url_update',
},
],
'HIDE_BUTTONS_UPDATE': True,
'SUMMERNOTE': ['notes'],
}
########################################################################################
########################################################################################
VARS = {
'NAME':'Canal de comunicaciรณn',
'PLURAL':'Canales de comunicaciรณn',
'MODEL':'Channel',
'NEW':'NUEVO',
'NEW_GENDER': 'un nuevo',
'THIS': 'esta',
'APP':APP,
'LIST': [
{
'field': 'name',
'title': 'Nombre',
},
{
'field': 'property_get_audience',
'title': 'Audiencia',
},
{
'field': 'property_get_list_administrators',
'title': 'Administradores',
},
],
'SEARCH': ['title'],
'SELECTQ': {
'user_admin': {
'model': ['mirari','User'],
'plugin': 'selectmultiple',
},
'team_admin': {
'model': ['INT','Team'],
'plugin': 'selectmultiple',
},
'notify_user': {
'model': ['mirari','User'],
'plugin': 'selectmultiple',
},
'notify_team': {
'model': ['INT','Team'],
'plugin': 'selectmultiple',
},
},
'SORTEABLE': ['name'],
}
#######################################################################################
#######################################################################################
VARS = {
'NAME':'Notificaciรณn',
'PLURAL':'Notificaciones',
'MODEL':'Notification',
'NEW':'NUEVA',
'NEW_GENDER': 'una nueva',
'THIS': 'esta',
'APP':APP,
'LIST': [
{
'field': 'title',
'title': 'Tรญtulo',
},
{
'field': 'get_channel',
'title': 'Canal',
},
{
'field': 'get_creation_date',
'title': 'Creado',
},
{
'field': 'get_expiration_date',
'title': 'Expira',
},
{
'field': 'get_status',
'title': 'Estatus',
},
],
'FORM': ('channel','title','message','files','status','datetime_expire','hide_content',),
'SEARCH': ['name'],
'SELECTQ': {
'channel': {
'plugin': 'select2',
},
},
'SORTEABLE': ['creation_date'],
'SUMMERNOTE': ['message'],
}
@receiver(post_save, sender=Notification)
########################################################################################
########################################################################################
VARS = {
'NAME':'Buzon Interno',
'PLURAL':'Buzones Internos',
'MODEL':'InternalMailBox',
'NEW':'NUEVO',
'NEW_GENDER': 'un nuevo',
'THIS': 'este',
'APP':APP,
'LIST': [
{
'field': 'name',
'title': 'Nombre',
},
{
'field': 'emails',
'title': 'Destino',
},
{
'field': 'description',
'title': 'Descripciรณn',
},
],
'SELECTQ': {
'availability': {
'plugin': 'selectmultiple',
},
},
}
########################################################################################
########################################################################################
VARS = {
'NAME':'Email de Buzon Interno',
'PLURAL':'Emails Buzones Internos',
'MODEL':'InternalMailBox_Mail',
'NEW':'NUEVO',
'NEW_GENDER': 'un nuevo',
'THIS': 'este',
'APP':APP,
'SUMMERNOTE': ['message'],
'FORM': [
Div(
HTML('<div class="m--margin-bottom-10"><span>El mail que envies no se almacena y nos aseguramos que solo sea leido por los destinatarios del buzรณn</span></div>'),
Div('message'),
css_class="col-md-12"
),
],
'FORM_SIZE': 'col-xl-12',
'SUBMIT_BUTTONS': "InternalMailBox_Mail__SUBMIT_BUTTONS.html",
'EXCLUDE_PERMISSIONS': ['all'],
} | [
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] | 2.066723 | 3,522 |
# coding: utf-8
import os
import itertools
import torch
from tqdm import tqdm
import numpy as np
import toolz as tz
import napari
from napari.qt import thread_worker
from skimage.exposure import rescale_intensity
from . import unet
from . import watershed as ws
u_state_fn = os.path.join(
os.path.dirname(__file__), 'data/unet-210525-zyxmc.pt'
)
u = unet.UNet(in_channels=1, out_channels=5)
IGNORE_CUDA = False
map_location = torch.device('cpu') # for loading the pre-existing unet
if torch.cuda.is_available() and not IGNORE_CUDA:
u.cuda()
map_location=None
u.load_state_dict(
torch.load(u_state_fn, map_location=map_location)
)
@tz.curry
def throttle_function(func, every_n=1000):
"""Return a copy of function that only runs every n calls.
This is useful when attaching a slow callback to a frequent event.
Parameters
----------
func : callable
The input function.
every_n : int
Number of ignored calls before letting another call through.
"""
counter = 0
return throttled
if __name__ == '__main__':
import nd2_dask as nd2
#data_fn = '/data/platelets/200519_IVMTR69_Inj4_dmso_exp3.nd2'
data_fn = os.path.expanduser(
'~/Dropbox/share-files/200519_IVMTR69_Inj4_dmso_exp3.nd2'
)
layer_list = nd2.nd2_reader.nd2_reader(data_fn)
t_idx = 114
source_vol = layer_list[2][0]
vol2predict = rescale_intensity(
np.asarray(source_vol[t_idx])
).astype(np.float32)
prediction_output = np.zeros((5,) + vol2predict.shape, dtype=np.float32)
size = (10, 256, 256)
chunk_starts, chunk_crops = make_chunks(vol2predict.shape, size, (1, 0, 0))
viewer = napari.Viewer(ndisplay=3)
l0 = viewer._add_layer_from_data(*layer_list[0])[0]
l1 = viewer._add_layer_from_data(*layer_list[1])[0]
l2 = viewer._add_layer_from_data(*layer_list[2])[0]
offsets = -0.5 * np.asarray(l0.scale)[-3:] * np.eye(5, 3)
prediction_layers = viewer.add_image(
prediction_output,
channel_axis=0,
name=['z-aff', 'y-aff', 'x-aff', 'mask', 'centroids'],
scale=l0.scale[-3:],
translate=list(np.asarray(l0.translate[-3:]) + offsets),
colormap=['bop purple', 'bop orange', 'bop orange', 'gray', 'gray'],
visible=[False, False, False, True, False],
)
viewer.dims.set_point(0, t_idx)
labels = np.pad(
np.zeros(prediction_output.shape[1:], dtype=np.uint32),
1,
mode='constant',
constant_values=0,
)
labels_layer = viewer.add_labels(
labels[1:-1, 1:-1, 1:-1],
name='watershed',
scale=prediction_layers[-1].scale,
translate=prediction_layers[-1].translate,
)
# closure to connect to threadworker signal
refresh_labels = throttle_function(labels_layer.refresh, every_n=10000)
segment_worker = thread_worker(
segment,
connect={'yielded': refresh_labels}
)
prediction_worker = thread_worker(
predict_output_chunks,
connect={
'yielded': refresh_prediction_layers,
'returned': segment_worker
},
)
prediction_worker(u, vol2predict, size, prediction_output, margin=0)
napari.run()
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14722,
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220,
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220,
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15772,
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17660,
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1267,
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1303,
16512,
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10618,
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22915,
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14125,
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220,
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220,
220,
220,
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7783,
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62,
28816,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8964,
198,
220,
220,
220,
1267,
198,
220,
220,
220,
17724,
62,
28816,
7,
84,
11,
2322,
17,
79,
17407,
11,
2546,
11,
17724,
62,
22915,
11,
10330,
28,
15,
8,
628,
220,
220,
220,
25422,
2743,
13,
5143,
3419,
198
] | 2.171392 | 1,552 |
'''
3. ๅฉ็จmap()ๅฝๆฐๅฐ็จๆท่พๅ
ฅ็ไธ่ง่็่ฑๆๅๅญ,ๅไธบ้ฆๅญๆฏๅคงๅ,ๅ
ถไปๅญ็ฌฆๅฐๅ็ๅฝขๅผ
1) ๅๅฎ็จๆท่พๅ
ฅ็ๆฏ["lambDA", โLILYโ, โaliCeโ]
'''
l=["lambDA","LILY","aliCe"]
print(list(map([i[:1].upper()+i[1:].lower()for i in l,l])))
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16,
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58,
16,
25,
4083,
21037,
3419,
1640,
1312,
287,
300,
11,
75,
60,
22305,
197,
198
] | 1.082353 | 170 |
#103
# Time: O(n)
# Space: O(n)
# Given a binary tree, return the zigzag level order traversal of
# its nodes' values. (ie, from left to right, then right to left
# for the next level and alternate between).
#
# For example:
# Given binary tree [3,9,20,null,null,15,7],
# 3
# / \
# 9 20
# / \
# 15 7
# return its zigzag level order traversal as:
# [
# [3],
# [20,9],
# [15,7]
# ]
| [
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198,
2,
220,
220,
685,
1314,
11,
22,
60,
198,
2,
2361,
628
] | 2.294444 | 180 |
from setuptools import setup
setup(
name="electrum-server-cesc",
version="1.0.20160803",
scripts=['run_electrum_server_cesc','electrum-server-cesc'],
install_requires=['plyvel','jsonrpclib', 'irc >= 11, <=14.0'],
package_dir={
'electrumservercesc':'src'
},
py_modules=[
'electrumservercesc.__init__',
'electrumservercesc.utils',
'electrumservercesc.storage',
'electrumservercesc.deserialize',
'electrumservercesc.networks',
'electrumservercesc.blockchain_processor',
'electrumservercesc.server_processor',
'electrumservercesc.processor',
'electrumservercesc.version',
'electrumservercesc.ircthread',
'electrumservercesc.stratum_tcp'
],
description="Cryptoescudo Electrum Server",
author="Marcdnd",
author_email="[email protected]",
license="MIT Licence",
url="https://github.com/Marcdnd/electrum-server-cesc/",
long_description="""Server for the Electrum Lightweight Cryptoescudo Wallet"""
)
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6551,
15126,
3028,
66,
12003,
37249,
37811,
198,
8,
198
] | 2.35426 | 446 |
from pandac.PandaModules import *
from toontown.toonbase.ToontownGlobals import *
from direct.interval.IntervalGlobal import *
from direct.fsm import ClassicFSM, State
from toontown.safezone import SafeZoneLoader
import random
from toontown.launcher import DownloadForceAcknowledge
import House
import Estate
import HouseGlobals
import random
import math
from toontown.coghq import MovingPlatform
from direct.directnotify import DirectNotifyGlobal
| [
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] | 3.584 | 125 |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import List, Optional, Union, cast
import torch
import theseus
import theseus.constants
from .lie_group import LieGroup
from .point_types import Point3
from .so3 import SO3
rand_se3 = SE3.rand
randn_se3 = SE3.randn
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2,
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] | 3.330645 | 124 |
import typing
import apache_beam as beam
| [
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"""
Tests for :mod:`greenday_core.youtube_thumbnails_cache <greenday_core.youtube_thumbnails_cache>`
"""
from greenday_core.tests.base import AppengineTestBed
from greenday_core.youtube_thumbnails_cache import YTThumbnailsCache
class YTThumbnailClientTestCase(AppengineTestBed):
"""
Tests for :class:`greenday_core.youtube_thumbnails_cache.YTThumbnailsCache <greenday_core.youtube_thumbnails_cache.YTThumbnailsCache>`
"""
def test_remove_all_cached_thumbnail_images(self):
"""
:func:`greenday_core.youtube_thumbnails_cache.YTThumbnailsCache.remove_all_cached_thumbnail_images <greenday_core.youtube_thumbnails_cache.YTThumbnailsCache.remove_all_cached_thumbnail_images>`
should remove all cached thumbnail images for a video
"""
yt_cache = YTThumbnailsCache('ytid')
keys = [yt_cache.create_key(time) for time in (42, 1024)]
for key in keys:
yt_cache.cache_thumbnail('dummy content', key)
for key in keys:
self.assertTrue(yt_cache.fetch_cached_thumbnail(key))
yt_cache.remove_all_cached_thumbnail_images()
for key in keys:
self.assertFalse(yt_cache.fetch_cached_thumbnail(key))
| [
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2116,
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62,
66,
2317,
62,
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7,
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] | 2.491903 | 494 |
import torch
# torch.autograd.set_detect_anomaly(True)
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import pdb
from skimage.metrics import structural_similarity, peak_signal_noise_ratio
from lpips import LPIPS
from hash_encoding import HashEmbedder, SHEncoder, XYZplusT_HashEmbedder
from time_encoding import XYZ_TimeOnOff_Encoding, XYZ_TimePiecewiseConstant
# Misc
img2mse = lambda x, y : torch.mean((x - y) ** 2)
img2L1 = lambda x, y : torch.mean(0.01 * (torch.sqrt(1 + ((x-y)**2).sum(dim=-1)/0.0001) - 1))
img2mse_with_uncertainty = lambda x, y, u : torch.mean(((x - y) ** 2)/(2*(u+1e-9)**2) + torch.log((u+1e-9)**2))
img2mse_perray = lambda x, y : ((x - y) ** 2).sum(dim=-1)
img2mse_with_uncertainty_perray = lambda x, y, u : ((x - y) ** 2).sum(dim=-1)/(2*(u+1e-9)**2) + 0.5*torch.log((u+1e-9)**2)
mse2psnr = lambda x : -10. * torch.log(x) / torch.log(torch.Tensor([10.]))
to8b = lambda x : (255*np.clip(x,0,1)).astype(np.uint8)
relu_act = nn.Softplus()
bce_loss = nn.BCELoss()
lpips_vgg = None
@torch.no_grad()
# Positional encoding (section 5.1)
# Small NeRF for Hash embeddings
class NeuralDiff_BGFGSeparate(nn.Module):
'''
Static Background model uses a low-frequency grid,
and Foreground model uses a high-frequency grid.
'''
class BGFG_XYZT(nn.Module):
'''
XYZT grid for foreground model
'''
class BGFG_OnOffEncoding(nn.Module):
'''
Uses OnOffEncoding for time
'''
class BGFG_PiecewiseConst(nn.Module):
'''
Uses OnOffEncoding for time
'''
class BGFG_XYZT_Bottleneck(nn.Module):
'''
XYZT grid for foreground model
Foreground model also uses some information (encoding) from the BG model, which helps in triangulation
'''
# Ray helpers
# Hierarchical sampling (section 5.2)
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2,
36496,
998,
605,
19232,
357,
5458,
642,
13,
17,
8,
198
] | 2.376963 | 764 |
import configparser
import os
from pathlib import Path
import annofabapi
from annofabcli.__main__ import main
out_dir = Path("./tests/out/instruction")
data_dir = Path("./tests/data/instruction")
# ใใญใธใงใฏใใใใใซ็งปๅใใ
os.chdir(os.path.dirname(os.path.abspath(__file__)) + "/../")
inifile = configparser.ConfigParser()
inifile.read("./pytest.ini", "UTF-8")
annofab_config = dict(inifile.items("annofab"))
project_id = annofab_config["project_id"]
service = annofabapi.build()
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] | 2.492147 | 191 |
soma = 0
count = 0
maior = 0
menor = 0
r = 'Y'
while r=='Y':
n = int(input('Digite um numero: '))
if count == 0 or n > maior:
maior = n
if count == 0 or n < menor:
menor = n
soma = soma + n
count = count + 1
r = str(input('Quer continuar? [Y/N]: ')).upper().strip()
media = soma/count
print('A media e {:.2f}'.format(media))
print('O menor numero e {} e o maior numero e {}'.format(menor,maior)) | [
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] | 2.208122 | 197 |
import unittest
import datetime
from http_clients import ByteportHttpGetClient, ByteportHttpPostClient
| [
11748,
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"""
Stack-In-A-WSGI: stackinawsgi.admin.admin.StackInAWsgiSessionManager
"""
import datetime
import json
import unittest
import ddt
from stackinabox.services.service import StackInABoxService
from stackinabox.services.hello import HelloService
from stackinawsgi.admin.admin import StackInAWsgiAdmin
from stackinawsgi.session.service import (
global_sessions,
StackInAWsgiSessionManager
)
from stackinawsgi.wsgi.request import Request
from stackinawsgi.wsgi.response import Response
from stackinawsgi.test.helpers import make_environment
@ddt.ddt
class TestSessionManager(unittest.TestCase):
"""
Test the interaction of StackInAWSGI's Session Manager
"""
def setUp(self):
"""
configure env for the test
"""
self.manager = StackInAWsgiSessionManager()
self.manager.register_service(HelloService)
self.base_uri = 'test://testing-url'
def tearDown(self):
"""
clean up after the test
"""
keys = tuple(global_sessions.keys())
for k in keys:
del global_sessions[k]
def test_construction(self):
"""
test basic construction of the admin interface
"""
admin = StackInAWsgiAdmin(self.manager, self.base_uri)
self.assertIsInstance(admin, StackInABoxService)
self.assertEqual(id(self.manager), id(admin.manager))
self.assertTrue(admin.base_uri.startswith(self.base_uri))
def test_property_base_uri_with_no_slash(self):
"""
test basic construction of the admin interface
"""
base_uri = 'hello'
admin = StackInAWsgiAdmin(self.manager, base_uri)
self.assertIsInstance(admin, StackInABoxService)
self.assertEqual(id(self.manager), id(admin.manager))
self.assertTrue(admin.base_uri.startswith(base_uri))
def test_property_base_uri_start_with_slash(self):
"""
test basic construction of the admin interface
"""
base_uri = '/hello'
admin = StackInAWsgiAdmin(self.manager, base_uri)
self.assertIsInstance(admin, StackInABoxService)
self.assertEqual(id(self.manager), id(admin.manager))
self.assertTrue(admin.base_uri.startswith(base_uri[1:]))
def test_property_base_uri_ends_with_slash(self):
"""
test the base uri property to ensure the trailing slash
is removed
"""
base_uri = 'hello/'
admin = StackInAWsgiAdmin(self.manager, base_uri)
self.assertIsInstance(admin, StackInABoxService)
self.assertEqual(id(self.manager), id(admin.manager))
self.assertTrue(admin.base_uri.startswith(base_uri[:-1]))
def test_helper_get_session_id(self):
"""
test extracting the session-id from the headers
"""
admin = StackInAWsgiAdmin(self.manager, self.base_uri)
session_id = 'some-session-id'
headers = {
'x-session-id': session_id
}
extracted_session_id = admin.helper_get_session_id(headers)
self.assertEqual(session_id, extracted_session_id)
def test_helper_get_session_id_no_session_id(self):
"""
test extracting the session-id from the headers
"""
admin = StackInAWsgiAdmin(self.manager, self.base_uri)
headers = {}
extracted_session_id = admin.helper_get_session_id(headers)
self.assertIsNone(extracted_session_id)
def test_helper_get_uri(self):
"""
test building the URI
"""
admin = StackInAWsgiAdmin(self.manager, self.base_uri)
session_id = 'some-session-id'
expected_uri = '{0}/{1}/'.format(self.base_uri, session_id)
result_uri = admin.helper_get_uri(session_id)
self.assertEqual(expected_uri, result_uri)
def test_session_creation(self):
"""
test creating a new session
"""
admin = StackInAWsgiAdmin(self.manager, self.base_uri)
uri = u'/'
environment = make_environment(
self,
method='POST',
path=uri[1:]
)
request = Request(environment)
response = Response()
result = admin.create_session(
request,
uri,
response.headers
)
response.from_stackinabox(
result[0],
result[1],
result[2]
)
# validate response
self.assertEqual(response.status, 201)
# validate header entries
self.assertIn('x-session-id', response.headers)
self.assertIn('location', response.headers)
# validate x-session-id
session_id = response.headers['x-session-id']
self.assertIn(session_id, global_sessions)
# validate location
self.assertEqual(
'{0}/{1}/'.format(self.base_uri, session_id),
response.headers['location']
)
def test_session_creation_with_session_id(self):
"""
test creating a new session with a session-id
"""
admin = StackInAWsgiAdmin(self.manager, self.base_uri)
session_id = 'my-session-id'
uri = u'/'
environment = make_environment(
self,
method='POST',
path=uri[1:],
headers={
'x-session-id': session_id
}
)
request = Request(environment)
self.assertIn('x-session-id', request.headers)
self.assertEqual(session_id, request.headers['x-session-id'])
response = Response()
result = admin.create_session(
request,
uri,
request.headers
)
response.from_stackinabox(
result[0],
result[1],
result[2]
)
# validate response
self.assertEqual(response.status, 201)
# validate header entries
self.assertIn('x-session-id', response.headers)
self.assertIn('location', response.headers)
# validate x-session-id
extracted_session_id = response.headers['x-session-id']
self.assertEqual(session_id, extracted_session_id)
self.assertIn(extracted_session_id, global_sessions)
# validate location
self.assertEqual(
'{0}/{1}/'.format(self.base_uri, extracted_session_id),
response.headers['location']
)
def test_session_remove(self):
"""
test removing a session
"""
admin = StackInAWsgiAdmin(self.manager, self.base_uri)
session_id = self.manager.create_session()
uri = u'/'
environment = make_environment(
self,
method='DELETE',
path=uri[1:],
headers={
'x-session-id': session_id
}
)
request = Request(environment)
self.assertIn('x-session-id', request.headers)
self.assertEqual(session_id, request.headers['x-session-id'])
response = Response()
result = admin.remove_session(
request,
uri,
request.headers
)
response.from_stackinabox(
result[0],
result[1],
result[2]
)
# validate response
self.assertEqual(response.status, 204)
def test_session_remove_invalid_session_id(self):
"""
test removing a session with an invalid session id
"""
admin = StackInAWsgiAdmin(self.manager, self.base_uri)
session_id = 'my-session-id'
uri = u'/'
environment = make_environment(
self,
method='DELETE',
path=uri[1:],
headers={
'x-session-id': session_id
}
)
request = Request(environment)
self.assertIn('x-session-id', request.headers)
self.assertEqual(session_id, request.headers['x-session-id'])
response = Response()
result = admin.remove_session(
request,
uri,
request.headers
)
response.from_stackinabox(
result[0],
result[1],
result[2]
)
# validate response
self.assertEqual(response.status, 404)
def test_session_reset(self):
"""
test resetting a session
"""
admin = StackInAWsgiAdmin(self.manager, self.base_uri)
session_id = self.manager.create_session()
uri = u'/'
environment = make_environment(
self,
method='PUT',
path=uri[1:],
headers={
'x-session-id': session_id
}
)
request = Request(environment)
self.assertIn('x-session-id', request.headers)
self.assertEqual(session_id, request.headers['x-session-id'])
response = Response()
result = admin.reset_session(
request,
uri,
request.headers
)
response.from_stackinabox(
result[0],
result[1],
result[2]
)
# validate response
self.assertEqual(response.status, 205)
def test_session_reset_invalid_session_id(self):
"""
test resetting a session with an invalid session id
"""
admin = StackInAWsgiAdmin(self.manager, self.base_uri)
session_id = 'my-session-id'
uri = u'/'
environment = make_environment(
self,
method='PUT',
path=uri[1:],
headers={
'x-session-id': session_id
}
)
request = Request(environment)
self.assertIn('x-session-id', request.headers)
self.assertEqual(session_id, request.headers['x-session-id'])
response = Response()
result = admin.reset_session(
request,
uri,
request.headers
)
response.from_stackinabox(
result[0],
result[1],
result[2]
)
# validate response
self.assertEqual(response.status, 404)
@ddt.data(0, 1, 2, 3, 5, 8, 13)
def test_get_sessions(self, session_count):
"""
test get sessions
"""
admin = StackInAWsgiAdmin(self.manager, self.base_uri)
uri = u'/'
environment = make_environment(
self,
method='GET',
path=uri[1:],
headers={}
)
request = Request(environment)
for _ in range(session_count):
admin.manager.create_session()
response = Response()
result = admin.get_sessions(
request,
uri,
request.headers
)
response.from_stackinabox(
result[0],
result[1],
result[2]
)
# validate response
self.assertEqual(response.status, 200)
response_body = response.body
session_data = json.loads(response_body)
self.assertIn('base_url', session_data)
self.assertEqual(session_data['base_url'], self.base_uri)
self.assertIn('services', session_data)
self.assertEqual(len(session_data['services']), 1)
self.assertIn('hello', session_data['services'])
self.assertEqual(session_data['services']['hello'], 'HelloService')
self.assertIn('sessions', session_data)
self.assertEqual(len(session_data['sessions']), session_count)
def test_get_session_info(self):
"""
test resetting a session with an invalid session id
"""
admin = StackInAWsgiAdmin(self.manager, self.base_uri)
session_id = 'my-session-id'
uri = u'/{0}'.format(session_id)
environment = make_environment(
self,
method='GET',
path=uri[1:],
headers={
'x-session-id': session_id
}
)
request = Request(environment)
self.assertIn('x-session-id', request.headers)
self.assertEqual(session_id, request.headers['x-session-id'])
response_created = Response()
result_create = admin.create_session(
request,
uri,
request.headers
)
response_created.from_stackinabox(
result_create[0],
result_create[1],
result_create[2]
)
self.assertEqual(response_created.status, 201)
response = Response()
result = admin.get_session_info(
request,
uri,
request.headers
)
response.from_stackinabox(
result[0],
result[1],
result[2]
)
# validate response
self.assertEqual(response.status, 200)
response_body = response.body
session_data = json.loads(response_body)
self.assertIn('base_url', session_data)
self.assertEqual(session_data['base_url'], self.base_uri)
self.assertIn('session_valid', session_data)
self.assertTrue(session_data['session_valid'])
self.assertIn('services', session_data)
self.assertEqual(len(session_data['services']), 1)
self.assertIn('hello', session_data['services'])
self.assertEqual(session_data['services']['hello'], 'HelloService')
self.assertIn('trackers', session_data)
self.assertEqual(len(session_data['trackers']), 3)
self.assertIn('created-time', session_data['trackers'])
self.assertIsNotNone(session_data['trackers']['created-time'])
created_time = datetime.datetime.strptime(
session_data['trackers']['created-time'],
"%Y-%m-%dT%H:%M:%S.%f"
)
self.assertIn('accessed', session_data['trackers'])
self.assertEqual(len(session_data['trackers']['accessed']), 2)
self.assertIn('time', session_data['trackers']['accessed'])
self.assertIsNotNone(session_data['trackers']['accessed']['time'])
accessed_time = datetime.datetime.strptime(
session_data['trackers']['accessed']['time'],
"%Y-%m-%dT%H:%M:%S.%f"
)
self.assertEqual(created_time, accessed_time)
self.assertIn('count', session_data['trackers']['accessed'])
self.assertIn('status', session_data['trackers'])
self.assertEqual(len(session_data['trackers']['status']), 0)
def test_get_session_info_invalid_session(self):
"""
test resetting a session with an invalid session id
"""
admin = StackInAWsgiAdmin(self.manager, self.base_uri)
session_id = 'my-session-id'
uri = u'/{0}'.format(session_id)
environment = make_environment(
self,
method='PUT',
path=uri[1:],
)
request = Request(environment)
response = Response()
result = admin.get_session_info(
request,
uri,
request.headers
)
response.from_stackinabox(
result[0],
result[1],
result[2]
)
# validate response
self.assertEqual(response.status, 200)
response_body = response.body
session_data = json.loads(response_body)
self.assertIn('base_url', session_data)
self.assertEqual(session_data['base_url'], self.base_uri)
self.assertIn('session_valid', session_data)
self.assertFalse(session_data['session_valid'])
self.assertIn('services', session_data)
self.assertEqual(len(session_data['services']), 1)
self.assertIn('hello', session_data['services'])
self.assertEqual(session_data['services']['hello'], 'HelloService')
self.assertIn('trackers', session_data)
self.assertEqual(len(session_data['trackers']), 3)
self.assertIn('created-time', session_data['trackers'])
self.assertIsNone(session_data['trackers']['created-time'])
self.assertIn('accessed', session_data['trackers'])
self.assertEqual(len(session_data['trackers']['accessed']), 2)
self.assertIn('time', session_data['trackers']['accessed'])
self.assertIsNone(session_data['trackers']['accessed']['time'])
self.assertIn('count', session_data['trackers']['accessed'])
self.assertIn('status', session_data['trackers'])
self.assertEqual(len(session_data['trackers']['status']), 0)
def test_extract_session_from_uri(self):
"""
test extracting a session from the URI - positive test
"""
admin = StackInAWsgiAdmin(self.manager, self.base_uri)
session_id = 'my-session-id'
uri = u'/{0}'.format(session_id)
extracted_session_id = admin.helper_get_session_id_from_uri(
uri
)
self.assertEqual(session_id, extracted_session_id)
def test_extract_session_from_uri_invalid(self):
"""
test extracting a session from the URI - negative test
"""
admin = StackInAWsgiAdmin(self.manager, self.base_uri)
uri = u'/'
extracted_session_id = admin.helper_get_session_id_from_uri(
uri
)
self.assertIsNone(extracted_session_id)
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7,
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62,
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62,
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] | 2.116793 | 8,194 |
"""Prepare subset regions of full NIST NA12878 reference materials for evaluation.
Allows preparation of exome or targeted reference materials from
the full NIST NA12878 genome.
Requires:
vcflib: https://github.com/ekg/vcflib
bedtools: http://bedtools.readthedocs.org/en/latest/
Usage:
prep_rm_subset.py <input_config.yaml>
"""
import os
import sys
import subprocess
import yaml
import pybedtools
if __name__ == "__main__":
main(sys.argv[1])
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#!/usr/bin/python
# -*- coding: utf8 -*-
import csv
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='This generates a t2t bible.')
parser.add_argument('-p', '--plan', help='plan to be used',
default="nouveau-testament-commente")
#parser.add_argument('-s', '--style', help='style used',
#default="default")
parser.add_argument('-v', help='show verses references', action='store_const', const=True, default=False)
parser.add_argument('-m', help='show marks only', action='store_const', const=True, default=False)
#parser.add_argument('output', help='output file')
args = parser.parse_args()
plan = args.plan
#style = args.style
#output = args.output
showVerse = args.v
showMarks = args.m
text = ""
with open('plans/' + plan + ".csv", 'rb') as csvfile:
reader = csv.reader(csvfile, delimiter=',', quotechar='"')
r = 0
struct = []
for row in reader:
if r != 0:
struct.append(row)
r += 1
for i in range(len(struct)):
row = struct[i]
nextRow = -1
text += addTitle(row)
if i != len(struct) - 1: nextRow = struct[i + 1]
if nextRow != -1 and nextRow[2] == row[2] and nextRow[3] == row[3]:
pass
else:
text += getText(row[0], row[2], row[3], row[4], row[5], row[6], showVerse, showMarks)
print text
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] | 2.15309 | 712 |
Scale.default = 'indian'
Root.default = 0
Clock.bpm = 80
print(Scale.names())
print(SynthDefs)
print(FxList)
print(PatternMethods)
print(Samples)
print(Clock.playing)
var.ch = var([0,1],[15,3])
~p1 >> play('W', amp=.5, dur=6, shape=.5, rate=.5, room=1, formant=[1,1,2])
~p2 >> play('m', amp=.8, dur=2/3, sample=[0,1,0], room=1).often('stutter', 2, dur=1.5, pan=PRand([-1,1]), rate=1.5)
~s1 >> klank(var.ch+(0,var([2,3,4],6)), amp=.5, oct=4)
~s1 >> klank(var.ch+(0,var([2,3,4],6)), amp=.3, oct=4, spin=1)
~s1 >> klank(var.ch+(0,var([2,3,4],6)), amp=.2, oct=4, spin=2)
~s1 >> klank(var.ch+(0,var([2,3,4],6)), amp=.5, oct=4, spin=4)
~s2 >> blip(var.ch, amp=PWhite(0,.6), dur=PDur(4,6)*2, oct=PRand([4,4,4,5,5,6]), lpf=800, room=1).sometimes('offadd', 4)
~s3 >> sitar(var.ch+PWalk(), dur=.25, amp=PRand([0,.8])[:36], formant=1, oct=PRand([6,7,8]), vib=12, room=1)
~s1 >> klank(var.ch+(0,var([2,3,4],6)), amp=.5, oct=4, spin=4, formant=1)
s3.every(6, 'degrade')
Clock.future(36, s3.stop)
~p3 >> play('( k[kk ] k[ kk]) |r3|', dur=1, rate=.5, amp=.5, lpf=00, formant=1)
p_all.stop()
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] | 1.867698 | 582 |
from collections import OrderedDict
import graphene
from graphene.types.generic import GenericScalar
from graphene.types.objecttype import ObjectTypeOptions
from graphene_sqlalchemy import SQLAlchemyConnectionField
from graphene_sqlalchemy.types import sort_argument_for_object_type
from graphene_sqlalchemy_auto.filter import filter_query
from graphene_sqlalchemy_auto.types import SQLAlchemyObjectTypes
from graphql_auto.filter import extend_query_filter
class CustomConnection(graphene.relay.Connection):
"""
CustomConnection
default add total count for query list
"""
total_count = graphene.Int()
@staticmethod
# first lower
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] | 3.57754 | 187 |
from classytags.arguments import Argument
from classytags.core import Tag, Options
from django import template
from cms.plugin_rendering import render_placeholder
from cms.stacks.models import Stack
register = template.Library()
register.tag(StackNode)
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] | 3.597222 | 72 |
from collections import namedtuple
import pprint
from enum import Enum
Track = namedtuple('Track', 'direction x_low x_high y_low y_high')
def make_tracks(xs, ys, points):
""" Give a list of xs columns and ys rows and points, return a list of
Track's and connections between the tracks.
An assert will fail if each point in the point list is not covered by
a column in xs or a row in ys.
Connections will be models as indicies into the track list.
Return:
[Track], [(index into track list, index into track list)]
>>> pos = [
... (0,0), (2,0),
... (0,1), (1,1), (2,1),
... (0,2), (2,2),
... (0,3), (1,3), (2,3),
... (0,4), (2,4),
... ]
>>> xs = [0, 2]
>>> ys = [1, 3]
>>> tracks, connections = make_tracks(xs, ys, pos)
>>> print_tracks(tracks)
[Track(direction='Y', x_low=0, x_high=0, y_low=0, y_high=4),
Track(direction='Y', x_low=2, x_high=2, y_low=0, y_high=4),
Track(direction='X', x_low=0, x_high=2, y_low=1, y_high=1),
Track(direction='X', x_low=0, x_high=2, y_low=3, y_high=3)]
>>> print(connections)
[(3, 0), (2, 0), (2, 1)]
>>> pos = [
... (68,48), (69,48),
... (68,49), (69,49),
... (69,50),
... (69,51),
... (69,52),
... (69,53), (70,53), (71,53), (72,53)]
>>> xs = [68, 69]
>>> ys = [53]
>>> tracks, connections = make_tracks(xs, ys, pos)
>>> print_tracks(tracks)
[Track(direction='Y', x_low=68, x_high=68, y_low=48, y_high=53),
Track(direction='Y', x_low=69, x_high=69, y_low=48, y_high=53),
Track(direction='X', x_low=68, x_high=72, y_low=53, y_high=53)]
>>> print(connections)
[(2, 0), (2, 1)]
"""
x_set = set(xs)
y_set = set(ys)
for x, y in points:
assert x in x_set or y in y_set
all_xs, all_ys = zip(*points)
x_min = min(all_xs)
x_max = max(all_xs)
y_min = min(all_ys)
y_max = max(all_ys)
tracks = []
x_tracks = []
y_tracks = []
for x in xs:
tracks.append(Track(
direction='Y',
x_low=x,
x_high=x,
y_low=y_min,
y_high=y_max,
))
y_tracks.append(len(tracks)-1)
for y in ys:
tracks.append(Track(
direction='X',
x_low=x_min,
x_high=x_max,
y_low=y,
y_high=y,
))
x_tracks.append(len(tracks)-1)
if len(tracks) == 1:
return tracks, []
# If there is more than 1 track, there must be a track in each dimension
assert len(xs) >= 1 and len(ys) >= 1
connections = set()
# Always just connect X tracks to the first Y track, and Y tracks to the
# first X tracks.
#
# To dedup connections, the x channel track will appear first in the
# connection list.
for idx, track in enumerate(tracks):
if track.direction == 'X':
connections.add((idx, y_tracks[0]))
else:
assert track.direction == 'Y'
connections.add((x_tracks[0], idx))
return tracks, list(connections)
if __name__ == "__main__":
main()
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] | 2.00806 | 1,613 |
from PyQt4 import QtGui, QtCore
from easypyqt.widget import basicwidget
class ButtonGroupWidget(basicwidget.BasicWidget):
"""
A group of widgets with horizontal or vertical layout.
EXAMPLE::
buttonList = [('test1', 'TestONE'), ('test2', 'TestTWO')]
fw = ButtonGroupWidget(button_list=buttonList, label='My Test', exclusive=True)
fw.show()
"""
FONT_GRAY = 'color: rgb(160, 160, 160)'
buttonClicked = QtCore.pyqtSignal(QtGui.QPushButton)
def __init__(self, button_list=None, label=None, vertical=False, exclusive=False, exclusive_color='#46c878'):
"""
:param button_list: *(list(tuple))* list of string tuples. [(name, label)]
:param label: *(str)* visible label or "title" for the button group
:param vertical: *(bool)* if True will lay buttons out vertically
:param exclusive: *(bool)* if True will highlight button clicked and ghost the rest. Button can be accessed
via get_exclusive_button() or get_exclusive_button_name()
:param exclusive_color *(str)* hex colour to use if exclusive option is True
"""
super(ButtonGroupWidget, self).__init__(vertical=vertical)
self.button_list = button_list or []
self.exclusive = exclusive
self.exclusive_color = exclusive_color
if label:
label = QtGui.QLabel(label)
self.basic_layout.addWidget(label)
for each in self.button_list:
button = QtGui.QPushButton(each[1])
button.setObjectName(each[0])
button.exclusive = False
button.clicked.connect(self.button_clicked)
self.basic_layout.addWidget(button)
def get_button_by_name(self, name):
"""
Returns the QPushButton that has name matching name passed
:param name:
:return:
"""
for each in self.get_all_buttons():
if each.objectName() == name:
return each
def button_clicked(self):
"""
This executes when a button is clicked.
:return:
"""
button = self.sender()
if self.exclusive:
button.setStyleSheet('background-color: {}'.format(self.exclusive_color))
button.exclusive = True
for each in [x for x in self.get_all_buttons() if x.objectName() != button.objectName()]:
each.exclusive = False
each.setStyleSheet(self.FONT_GRAY)
self.buttonClicked.emit(button)
def get_exclusive_button(self):
"""
:return: *(QtGui.QPushButton)*
"""
if not self.exclusive:
raise RuntimeError('This ButtonGroupWidget has not been instantiated with param exclusive = True')
for each in self.get_all_buttons():
if each.exclusive:
return each
def get_exclusive_button_name(self):
"""
:return: *(str)* name of the exclusive button
"""
return self.get_exclusive_button().objectName()
if __name__ == '__main__':
import sys
app = QtGui.QApplication(sys.argv)
buttonList = [('test1', 'TestONE'), ('test2', 'TestTWO')]
fw = ButtonGroupWidget(button_list=buttonList, label='My Test', exclusive=True)
fw.show()
sys.exit(app.exec_())
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198
] | 2.313525 | 1,464 |
import pytest
from docopt import docopt, DocoptExit
from we_get.core.we_get import WG
from we_get.core import we_get
@pytest.mark.parametrize(
'argv, exp_res',
[
[None, {'arguments': None, 'parguments': {}, 'we_get_run': 0}],
[['--search', 'ubuntu'], {
'arguments': {
'--config': [],
'--filter': [],
'--genre': [],
'--get-list': 0,
'--help': 0,
'--json': 0,
'--links': 0,
'--list': 0,
'--quality': [],
'--results': [],
'--search': ['ubuntu'],
'--sfw': 0,
'--sort-type': [],
'--target': ['all'],
'--version': 0
},
'parguments': {
'--search': ['ubuntu'], '--target': ['all']}, 'we_get_run': 1
}],
]
)
@pytest.mark.parametrize(
'argv, exp_res',
[
[
[],
{
'--filter': [], '--genre': [], '--get-list': 0, '--help': 0, '--json': 0,
'--links': 0, '--list': 0, '--quality': [], '--results': [], '--search': [],
'--sort-type': [], '--target': ['all'], '--version': 0, '--config': [], '--sfw': 0}
],
],
)
| [
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8,
198
] | 1.671698 | 795 |
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