Reset23/the-stack-v2-filtered-python · Datasets at Hugging Face

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/functional_tests/test_list_item_validation.py

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chicocheco/tdd_book

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from selenium.webdriver.common.keys import Keys from unittest import skip from .base import FunctionalTest class ItemValidationTest(FunctionalTest): # YAGNI, 3 strikes and refactor, not moving helper methods to base.py if not needed elsewhere def get_error_element(self): return self.browser.find_element_by_css_selector('.has-error') def test_cannot_add_empty_list_items(self): # Tania jde na domovskou stranku a omylem zkusi na seznam pridat prazdny text. self.browser.get(self.live_server_url) self.get_item_input_box().send_keys(Keys.ENTER) # every click or enter should be followed by some wait # prohlizec zastavi pozadavek protoze jsme nezadali nic do 'required' policka # (HTML5) browser adds a CSS pseudoselector ":invalid" to the id parameter of the element # and pops up "Fill out the field" alert # fallback: if the browser like Safari, does not fully implement HTML5, so the custom error message will be used self.wait_for(lambda: self.browser.find_element_by_css_selector('#id_text:invalid')) """ lambda: when you want to save a function with arguments to a variable/parameter but not executing it yet >>> myfn = lambda: addthree(2) # note addthree is not called immediately here >>> myfn <function <lambda> at 0x7f3b140339d8> >>> myfn() # execute it here 5 """ # Nyni to zkusi znovu s nejakym textem pro polozku, coz funguje, chyba zmizi # CSS pseudoselector changes from #id_text:invalid to #id_text:valid self.get_item_input_box().send_keys('Buy milk') self.wait_for(lambda: self.browser.find_element_by_css_selector('#id_text:valid')) # a muze bez problemu potvrdit predmet self.get_item_input_box().send_keys(Keys.ENTER) self.wait_for_row_in_list_table('1: Buy milk') # Skodolibe, ted zkusi znovu pridat druhou prazdnou polozku (jiz pro existujici seznam) self.get_item_input_box().send_keys(Keys.ENTER) # Dostane podobne varovani na strance listu, prohlizec nadava self.wait_for(lambda: self.browser.find_element_by_css_selector('#id_text:invalid')) # Ted to muze opravit vyplnenim pole nejakym textem self.get_item_input_box().send_keys('Make tea') self.wait_for(lambda: self.browser.find_element_by_css_selector('#id_text:valid')) self.get_item_input_box().send_keys(Keys.ENTER) self.wait_for_row_in_list_table('1: Buy milk') self.wait_for_row_in_list_table('2: Make tea') # self.fail('Finish this test!') def test_cannot_add_duplicate_items(self): # Tania jde na domovskou stranku a zacne novy list self.browser.get(self.live_server_url) self.add_list_item('Buy wellies') # omylem zkusi zadat stejnou polozku znovu (novy list jiz existuje) self.get_item_input_box().send_keys('Buy wellies') self.get_item_input_box().send_keys(Keys.ENTER) # vidi uzitecnou chybovou zpravu ze zadava duplikat self.wait_for(lambda: self.assertEqual( self.get_error_element().text, "You've already got this in your list" )) def test_error_messages_are_cleared_on_input(self): # Tania otevre novy seznam a zpusobi validaci error # this uses JavaScript and can be tested as: # python manage.py test # functional_tests.test_list_item_validation.ItemValidationTest.test_error_messages_are_cleared_on_input self.browser.get(self.live_server_url) self.add_list_item('Banter too thick') self.get_item_input_box().send_keys('Banter too thick') self.get_item_input_box().send_keys(Keys.ENTER) self.wait_for(lambda: self.assertTrue( self.get_error_element().is_displayed() )) # zacne neco psat do policka aby zmizela chybova hlaska o jiz existujici polozce self.get_item_input_box().send_keys('a') # ma radost, ze chybova hlaska zmizi self.wait_for((lambda: self.assertFalse( self.get_error_element().is_displayed() ))) def test_error_messages_are_cleared_on_focus(self): # Tania otevre novy seznam a zpusobi validaci error self.browser.get(self.live_server_url) self.add_list_item('Banter too thin') self.get_item_input_box().send_keys('Banter too thin') self.get_item_input_box().send_keys(Keys.ENTER) self.wait_for(lambda: self.assertTrue( self.get_error_element().is_displayed() )) # klikne do policka aby zmizela chybova hlaska o jiz existujici polozce self.get_item_input_box().click() # ma radost, ze chybova hlaska zmizi self.wait_for((lambda: self.assertFalse( self.get_error_element().is_displayed() )))

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from PutBucketACL import * from GetBucketLocation import * from DeleteMultipleObjects import * from GetBucketWebsite import * from DeleteBucketCORS import * from DeleteBucketTagging import * from GetObjectACL import * from ZipBucket import * from DeleteBucket import * from PutBucketWebsiteRedirectAll import * from GetBucketVersioning import * from PutBucketWebsiteRedirect import * from GetBucketList import * from PutObjectACL import * from PutBucketCORS import * from GetService import * from GetBucketCORS import * from GetBucketNotification import * from GetBase64EncodedObject import * from DeleteBucketLifecycle import * from GetBucketLifecycle import * from GetObjectTorrent import * from PutBucketNotification import * from PutBucketTagging import * from PutBucketVersioning import * from GetBucketPolicy import * from GetBucketTagging import * from GetBucketACL import * from CopyObject import * from PutBucketLifecycle import * from ZipObject import * from DeleteObject import * from PutBucket import * from PutBucketPolicy import * from GetBucketLogging import * from PutObject import * from PutBucketLogging import * from DeleteBucketPolicy import * from PutBucketRequestPayment import * from DeleteBucketWebsite import * from GetBucketRequestPayment import *

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cedric.warny@gmail.com

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hongjy127/CNN_ultrasonics

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import numpy as np import matplotlib.pyplot as plt from pyts.image import RecurrencePlot # 설정 정보 불러오기 class Configuration: def __init__(self): config = self.load() self.fname = config['FNAME'] def load(self): config = {} with open('config.ini','rt') as f: entries = f.readlines() for entry in entries: key, value = entry.split('=') config[key.strip()] = value.strip() return config def __str__(self): return f'<Configuration fname {self.fname}>' # data.csv file 불러오기 def load(fname): datas = np.loadtxt(fname, delimiter=',', dtype=np.float32) signals = datas[:, :-1] labels = datas[:, -1].astype('int') data = (signals, labels) return data # scaling def scaling(signals): signals = signals/np.max(np.abs(signals)) return signals # 이미지로 변환 (memory 문제 - 사용 X) def sig2img(signals): rp = RecurrencePlot(dimension=1, time_delay=1, threshold=None) signals.reshape(1,-1) img = rp.fit_transform(signals) return img # Cross validation def CV(signals, labels): pass if __name__ == "__main__": # config 확인 config = Configuration() fname = config.fname print(fname) # load 확인 data = load(fname) print(data[0][-1]) print(data[1][-1]) print(data[0].shape, data[1].shape) signals = data[0] plt.plot(signals[-1,:]) # scaling 확인 signals = scaling(signals) plt.plot(signals[-1,:]) plt.show() # sig2img 확인 signal = signals[0:2] img = sig2img(signal) print(img.shape) fig = plt.figure() rows = 1 cols = 2 ax1 = fig.add_subplot(rows, cols, 1) ax1.imshow(img[0]) ax2 = fig.add_subplot(rows, cols, 2) ax2.imshow(img[1]) plt.show()

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import sys sys.stdin = open('sample_input (3).txt') def is_exist_diagnal(cur_pos): for queen in queens: if abs(cur_pos[0] - queen[0]) == abs(cur_pos[1] - queen[1]): return True return False def n_queens(row): global visited, count if row == N: count += 1 else: for col in range(N): # 같은 열에 다른 퀸이 존재하는지 체크 및 대각선 체크 if not visited[col] and not is_exist_diagnal((col, row)): visited[col] = True queens.append((col, row)) n_queens(row + 1) queens.pop() visited[col] = False T = int(input()) for tc in range(1, T+1): N = int(input()) count = 0 visited = [False] * N queens = [] n_queens(0) print("#{} {}".format(tc, count))

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class Solution: """ @see https://oj.leetcode.com/problems/roman-to-integer/ """ # @return an integer def romanToInt(self, s): chart = dict(I=1, V=5, X=10, L=50, C=100, D=500, M=1000) if s == "": return 0 n = chart[s[-1]] for i in range(2, len(s)+1): if chart[s[-i]] < chart[s[-i+1]]: n -= chart[s[-i]] else: n += chart[s[-i]] return n if __name__ == "__main__": solution = Solution() print(solution.romanToInt("")) print(solution.romanToInt("VII") == 7) print(solution.romanToInt("XXXIX") == 39) print(solution.romanToInt("DCCCXC") == 890)

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'''OpenGL extension NV.shader_atomic_fp16_vector This module customises the behaviour of the OpenGL.raw.GLES2.NV.shader_atomic_fp16_vector to provide a more Python-friendly API Overview (from the spec) This extension provides GLSL built-in functions and assembly opcodes allowing shaders to perform a limited set of atomic read-modify-write operations to buffer or texture memory with 16-bit floating point vector surface formats. The official definition of this extension is available here: http://www.opengl.org/registry/specs/NV/shader_atomic_fp16_vector.txt ''' from OpenGL.raw.GLES2.NV.shader_atomic_fp16_vector import _EXTENSION_NAME def glInitShaderAtomicFp16VectorNV(): '''Return boolean indicating whether this extension is available''' from OpenGL import extensions return extensions.hasGLExtension( _EXTENSION_NAME ) ### END AUTOGENERATED SECTION

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from autonetkit.anm.network_model import NetworkModel as NetworkModel from autonetkit.anm.graph import NmGraph as NmGraph from autonetkit.anm.node import NmNode as NmNode from autonetkit.anm.edge import NmEdge as NmEdge from autonetkit.anm.interface import NmPort as NmPort

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DKU-STUDY/Algorithm

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''' https://programmers.co.kr/learn/courses/30/lessons/81303 표 편집 [풀이] 0. 연결리스트 문제 => 보통 이런문제가 나오면 클래스로 짜는 사람이 있다. 참 대단.. 1. 연결리스트를 딕셔너리로 구현한다. => i번째 노드는 원소가 2개인 list 타입의 값을 가진다. => [0] : left = i-1번째 노드 => [1] : right = i+1번째 노드 => 0번 노드와 n-1번 노드는 양쪽 끝에 None을 가지고 있다. 2. 명령어가 C, Z일때를 조건으로 하고 그 외에는 split()을 한다. 2-1. C일 경우 => rm 리스트에 삭제할 노드의 idx와 left, right를 추가한다. => rm 리스트는 추후에 명령어가 Z일 경우 필요 => 자신의 left 노드와 right 노드를 서로 이어준다 => 이 때 None일 경우의 예외처리 2.2 Z일 경우 => 삭제한 노드가 담겨있는 rm 리스트에서 pop => 되돌리려는 노드가 가장 마지막 노드일 경우와 아닌 경우를 나눈다. => 그리고 자신의 left, right 노드와 자신을 이어준다. => 자신의 left, right가 현재 삭제되있을 가능성은? => 없다. 왜냐하면 자신이 가장 최근에 삭제된 노드기 때문 => 자신의 left, right가 삭제되었다면 이미 또 다른 left, right값을 가지고 있을 것임 2.3 U, D 일 경우 => D면 idx 증가, U면 idx 감소. => 연결리스트의 장점이 드러나는 부분 => 그 외의 방법은 이동하면서 노드가 삭제되었는지 여부를 검사해야한다. => 연결리스트는 연결이 안돼있으면 이미 삭제된 것이기 때문에 검사할 필요가 없음. ''' def solution(n, k, cmd): dic = {} for i in range(0, n): dic[i] = [i-1, i+1] dic[0][0] = dic[n-1][1] = None rm = [] for c in cmd: if c == "C": rm.append([k, dic[k][0], dic[k][1]]) if dic[k][1] is None: k = dic[k][0] dic[k][1] = None else: if dic[k][0] is not None: dic[dic[k][0]][1] = dic[k][1] dic[dic[k][1]][0] = dic[k][0] k = dic[k][1] elif c == "Z": idx, left, right = rm.pop() if left is not None: dic[left][1] = idx if right is not None: dic[right][0] = idx dic[idx] = [left, right] else: move, steps = c.split() for _ in range(int(steps)): k = dic[k][int(move == "D")] answer = ["O"] * n for idx, _, _ in rm: answer[idx] = "X" return ''.join(answer) ''' 리스트로 이 문제를 구현하면 100% 시간초과 날 것을 예상했다. => 삭제 검사, 리스트 중간에 삽입 및 삭제가 일어날 것이기 떄문 그래서 각 리스트의 상태를 기억할 수 있도록 구조를 짰다. 굉장히 좋은 풀이라고 생각했는데 효율성에서 에러가 났다. (아마 실제 인턴십 코테에서도 저랬던 것 같다) 아래 코드는 리스트로 짠 코드. 4개의 테스트 케이스에서 시간초과가 나서 결국 버려야 했다 ㅠㅠ def solution(n, k, cmd): lst = ["O"] * n top = n-1 remove = [] for c in cmd: if c == "C": remove.append(k) lst[k] = "X" drt = 2 * (top != k) - 1 while lst[k+drt] == "X": k += drt k += drt while lst[top] == "X": top -= 1 elif c == "Z": idx = remove.pop() lst[idx] = "O" top = max(idx, top) else: move, steps = c.split() steps = int(steps) drt = 2 * (move == "D") - 1 while steps: k += drt steps -= lst[k] == "O" #print(c, lst, remove, top, k) return ''.join(lst) '''

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# Copyright (c) 2011-2020 Eric Froemling # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. # ----------------------------------------------------------------------------- """Settings UI related to gamepad functionality.""" from __future__ import annotations from typing import TYPE_CHECKING import _ba import ba if TYPE_CHECKING: from typing import Dict, Any def gamepad_configure_callback(event: Dict[str, Any]) -> None: """Respond to a gamepad button press during config selection.""" from ba.internal import get_remote_app_name from bastd.ui.settings import gamepad # Ignore all but button-presses. if event['type'] not in ['BUTTONDOWN', 'HATMOTION']: return _ba.release_gamepad_input() try: ba.containerwidget(edit=ba.app.main_menu_window, transition='out_left') except Exception: ba.print_exception("Error transitioning out main_menu_window.") ba.playsound(ba.getsound('activateBeep')) ba.playsound(ba.getsound('swish')) inputdevice = event['input_device'] assert isinstance(inputdevice, ba.InputDevice) if inputdevice.allows_configuring: ba.app.main_menu_window = ( gamepad.GamepadSettingsWindow(inputdevice).get_root_widget()) else: width = 700 height = 200 button_width = 100 ba.app.main_menu_window = dlg = (ba.containerwidget( scale=1.7 if ba.app.small_ui else 1.4 if ba.app.med_ui else 1.0, size=(width, height), transition='in_right')) device_name = inputdevice.name if device_name == 'iDevice': msg = ba.Lstr(resource='bsRemoteConfigureInAppText', subs=[('${REMOTE_APP_NAME}', get_remote_app_name())]) else: msg = ba.Lstr(resource='cantConfigureDeviceText', subs=[('${DEVICE}', device_name)]) ba.textwidget(parent=dlg, position=(0, height - 80), size=(width, 25), text=msg, scale=0.8, h_align="center", v_align="top") def _ok() -> None: from bastd.ui.settings import controls ba.containerwidget(edit=dlg, transition='out_right') ba.app.main_menu_window = (controls.ControlsSettingsWindow( transition='in_left').get_root_widget()) ba.buttonwidget(parent=dlg, position=((width - button_width) / 2, 20), size=(button_width, 60), label=ba.Lstr(resource='okText'), on_activate_call=_ok) class GamepadSelectWindow(ba.Window): """Window for selecting a gamepad to configure.""" def __init__(self) -> None: from typing import cast width = 480 height = 170 spacing = 40 self._r = 'configGamepadSelectWindow' super().__init__(root_widget=ba.containerwidget( scale=2.3 if ba.app.small_ui else 1.5 if ba.app.med_ui else 1.0, size=(width, height), transition='in_right')) btn = ba.buttonwidget(parent=self._root_widget, position=(20, height - 60), size=(130, 60), label=ba.Lstr(resource='backText'), button_type='back', scale=0.8, on_activate_call=self._back) # Let's not have anything selected by default; its misleading looking # for the controller getting configured. ba.containerwidget(edit=self._root_widget, cancel_button=btn, selected_child=cast(ba.Widget, 0)) ba.textwidget(parent=self._root_widget, position=(20, height - 50), size=(width, 25), text=ba.Lstr(resource=self._r + '.titleText'), maxwidth=250, color=ba.app.title_color, h_align="center", v_align="center") ba.buttonwidget(edit=btn, button_type='backSmall', size=(60, 60), label=ba.charstr(ba.SpecialChar.BACK)) v: float = height - 60 v -= spacing ba.textwidget(parent=self._root_widget, position=(15, v), size=(width - 30, 30), scale=0.8, text=ba.Lstr(resource=self._r + '.pressAnyButtonText'), maxwidth=width * 0.95, color=ba.app.infotextcolor, h_align="center", v_align="top") v -= spacing * 1.24 if ba.app.platform == 'android': ba.textwidget(parent=self._root_widget, position=(15, v), size=(width - 30, 30), scale=0.46, text=ba.Lstr(resource=self._r + '.androidNoteText'), maxwidth=width * 0.95, color=(0.7, 0.9, 0.7, 0.5), h_align="center", v_align="top") _ba.capture_gamepad_input(gamepad_configure_callback) def _back(self) -> None: from bastd.ui.settings import controls _ba.release_gamepad_input() ba.containerwidget(edit=self._root_widget, transition='out_right') ba.app.main_menu_window = (controls.ControlsSettingsWindow( transition='in_left').get_root_widget())

[ "ericfroemling@gmail.com" ]

ericfroemling@gmail.com

e2d6533a67d8bebf792f226e1e5a1c797c7a7032

39d7ab29356ea5363c783d518b3c92f52c2ef8c2

/crawler/crawlers_BACKUP/sinarollcustom.py

9c3170f6636f92bf98ab84af04baecb8a1e39df5

[]

no_license

wdcpop/Web-Crawler

7daad778bbda9e5852248971845e3b448629175e

725037d17dfd2535e213df3cb7aafda523d39c03

refs/heads/master

2018-07-31T15:12:31.605633

2018-06-02T16:03:36

121,194,531

4

1

null

UTF-8

Python

false

731

py

#!/usr/bin/env python # -*- encoding: utf-8 -*- from .abstracts.crawler_abstract import CrawlerAbstract import re from urlparse import urljoin from urlparse import urlsplit from arrow import Arrow import time class SINAROLLCUSTOM(CrawlerAbstract): title = u'新浪财经 - 滚动自选' start_urls = [ 'http://roll.news.sina.com.cn/s/channel.php?ch=01#col=96,97,98&spec=&type=&ch=01&k=&offset_page=0&offset_num=0&num=60&asc=&page=4' ] url_patterns = [ re.compile(r'(http://.*?\.sina\.com\.cn/[\w/]+?/\d{4}-\d{2}-\d{2}/doc-\w+?\.shtml)') ] content_selector = dict( title='#artibodyTitle', content='.article, #artibody', date_area='.time-source, #pub_date' )

[ "wdcpop@gmail.com" ]

wdcpop@gmail.com

2370bfe569782dc9bb6f537eb8495692b3be2571

51d5bd1f792f3a0fe1285c3ccdeefb58077890df

/anees/migrations/0027_auto_20200926_1337.py

33ea2f35e72c08589a1f98ef7070dd993ad8150f

[ "MIT" ]

permissive

ashish2020kashyap/cessini

667c2d4ab64f34121255a43c327b8110fa499d0b

9713fd76d2e31a95266ec69da2abc98424a46e52

refs/heads/master

2022-12-16T13:30:21.093504

2020-09-29T06:31:12

299,510,700

0

null

UTF-8

Python

false

1,233

py

# Generated by Django 3.1.1 on 2020-09-26 13:37 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('anees', '0026_auto_20200926_1336'), ] operations = [ migrations.AlterField( model_name='customer', name='customer_camp', field=models.ManyToManyField(blank=True, null=True, related_name='customer_camp', to='anees.Campaign'), ), migrations.AlterField( model_name='customer', name='customer_email', field=models.ManyToManyField(blank=True, null=True, related_name='customer_email', to='anees.Email'), ), migrations.AlterField( model_name='customer', name='name', field=models.CharField(blank=True, max_length=200, null=True), ), migrations.AlterField( model_name='customer', name='phone', field=models.CharField(blank=True, max_length=200, null=True), ), migrations.AlterField( model_name='email', name='camp', field=models.ManyToManyField(null=True, related_name='camp', to='anees.Campaign'), ), ]

[ "ashish160kumar@gmail.com" ]

ashish160kumar@gmail.com

0a1b40f9c2382b1f57e2db3116afbfc749929daf

1b2fc9666edbbdc65387c854831097e0be8b686c

/BOJ(Baekjoon Online Judge)/Mathematics/2004_조합 0의 개수(counting trailing zero in combination).py

cfc777b9dac881b237d3a84d4de3aec3d7992dda

[]

no_license

seongbeenkim/Algorithm-python

6593878cff8755800f3e8bcdaabdb41625324f38

24fe365a29c61c2405a06345f9105ed200a76bd5

refs/heads/master

2023-09-04T11:05:08.318769

2021-02-18T14:58:20

null

0

null

UTF-8

Python

false

515

py

#https://www.acmicpc.net/problem/2004 import sys count_two = 0 count_five = 0 n, m = list(map(int,sys.stdin.readline().split())) i = 2 while n >= i: count_two += n // i i *= 2 i = 2 while (n-m) >= i: count_two -= (n-m) // i i *= 2 i = 2 while m >= i: count_two -= m // i i *= 2 i = 5 while n >= i: count_five += n // i i *= 5 i = 5 while (n-m) >= i: count_five -= (n-m) // i i *= 5 i = 5 while m >= i: count_five -= m // i i *= 5 print(min(count_two,count_five))

[ "seongbeen93@naver.com" ]

seongbeen93@naver.com

f0078d8d238fb95be3367e8c9a6724e692d2f892

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/migrations/versions/414eda9f70d0_.py

2eb67987fdcb5ce4328978a6b6c70f45820f1622

[]

no_license

MarsStirner/sirius

5bbf2a03dafb7248db481e13aff63ff989fabbc2

8839460726cca080ca8549bacd3a498e519c8f96

refs/heads/master

2021-03-24T12:09:14.673193

2017-06-06T16:28:53

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0

null

UTF-8

Python

false

1,037

py

"""empty message Revision ID: 414eda9f70d0 Revises: f088f9315be0 Create Date: 2016-10-20 20:27:23.521000 """ # revision identifiers, used by Alembic. revision = '414eda9f70d0' down_revision = 'f088f9315be0' from alembic import op import sqlalchemy as sa from sqlalchemy.dialects import postgresql def upgrade(): ### commands auto generated by Alembic - please adjust! ### op.drop_constraint(u'_remote_entity_id_uc', 'matching_id', type_='unique') op.drop_index('ix_matching_id_remote_id', table_name='matching_id') op.drop_column(u'matching_id', 'remote_id') ### end Alembic commands ### def downgrade(): ### commands auto generated by Alembic - please adjust! ### op.add_column(u'matching_id', sa.Column('remote_id', sa.INTEGER(), autoincrement=False, nullable=False)) op.create_index('ix_matching_id_remote_id', 'matching_id', ['remote_id'], unique=False) op.create_unique_constraint(u'_remote_entity_id_uc', 'matching_id', ['remote_entity_id', 'remote_id']) ### end Alembic commands ###

[ "paschenko@bars-open.ru" ]

paschenko@bars-open.ru

c2fbf9b3a660a865fe1e20d672d48b4f0f4211bc

50084bf941b61791ac4def5b8cff950e7ddfdd15

/10 Advanced Language Techniques/Functional/04_currying.py

9bfdbe7774d011369592c47083061947c15d5c7e

[]

no_license

gjq91459/mycourse

6904ad191dc6128fb853eb8bdb1b200a46b2059f

211d7707e41f50495375b4a1dfc32b62b76b317b

refs/heads/master

2021-01-21T10:34:44.841349

2017-03-01T11:17:52

83,456,979

1

0

null

UTF-8

Python

false

595

py

# conventional function that takes 5 args def func(a, b, c, d, e): return a, b, c, d, e print func(1, 2, 3, 4, 5) # curried version that takes 1 arg def f(a): def g(b): def h(c): def i(d): def j(e): return a, b, c, d, e return j return i return h return g # f can be called in a variety of ways a = f(1) b = f(1)(2) c = f(1)(2)(3) d = f(1)(2)(3)(4) e = f(1)(2)(3)(4)(5) # missing arguments can be supplied later print a(2)(3)(4)(5) print b(3)(4)(5) print c(4)(5) print d(5) print e

[ "gjq91459@diamtr341.diamond.ac.uk" ]

gjq91459@diamtr341.diamond.ac.uk

bd036bff8f5d9e56e55bb6ba97338a10bbbf2499

de24f83a5e3768a2638ebcf13cbe717e75740168

/moodledata/vpl_data/82/usersdata/231/43199/submittedfiles/decimal2bin.py

cfc4f3a70bf6f9df805aa03d52a228511ebb8f8f

[]

no_license

rafaelperazzo/programacao-web

95643423a35c44613b0f64bed05bd34780fe2436

170dd5440afb9ee68a973f3de13a99aa4c735d79

refs/heads/master

2021-01-12T14:06:25.773146

2017-12-22T16:05:45

69,566,344

0

null

UTF-8

Python

false

151

py

# -*- coding: utf-8 -*- n=int(input('digite n: ')) soma=0 i=0 while n>0: resto =n%10 soma=soma+resto*(2**i) n=n//10 i=i+1 print(soma)

[ "rafael.mota@ufca.edu.br" ]

rafael.mota@ufca.edu.br

370b9d1e5738731995469d3572171a1eb0805860

b20cc37e0b986a0b458f7f446d5025beee01ba7a

/326-power-of-three/326-power-of-three.py

ee9a38938a90148c4442109da4f8e747ba9f4374

[]

no_license

Maruf-S/Competitve-programing

e5e405912a4c2d9a1fad35d66411964ecbc10d00

3134d9c1b7e987c6cec3c614512faab4114fe0bd

refs/heads/master

2023-02-04T08:08:43.374565

2023-02-01T17:29:55

225,399,606

0

1

null

UTF-8

Python

false

183

py

class Solution: def isPowerOfThree(self, n: int) -> bool: if n==1: return True if n<1: return False return self.isPowerOfThree(n/3)

[ "56218443+Maruf-S@users.noreply.github.com" ]

56218443+Maruf-S@users.noreply.github.com

54a9a094e0ee5716cca0e893e3b82f367b83dbe1

a0dda8be5892a390836e19bf04ea1d098e92cf58

/7章之后刷题/7章/求一元二次方程的解.py

517c5ec018ad4fd2fec5dfce6394c34f9bf20cf7

[]

no_license

wmm98/homework1

d9eb67c7491affd8c7e77458ceadaf0357ea5e6b

cd1f7f78e8dbd03ad72c7a0fdc4a8dc8404f5fe2

refs/heads/master

2020-04-14T19:22:21.733111

2019-01-08T14:09:58

164,055,018

1

0

null

UTF-8

Python

false

769

py

""" 【问题描述】一元二次方程：ax2+bx+c=0 （a ╪ 0）【输入形式】输入a、b和c的值（有理数）【输出形式】输出x的两个值，或者No（即没有有理数的解）【样例输入】1 2.5 3 【样例输出】No 【样例输入】1 -2 1 【样例输出】1.00 1.00 【样例输出说明】输出的两个解保留两位小数，大的在前 """ import math a, b, c = input().split() if a != 0: a = float(a) b = float(b) c = float(c) if b ** 2 - 4 * a * c < 0: print("No") else: i = math.sqrt(b ** 2 - 4 * a * c) x1 = (-b + i) / (2 * a) x2 = (-b - i) / (2 * a) if x1 > x2: print("%.2f %.2f" % (x1, x2)) else: print("%.2f %.2f" % (x2, x1))

[ "792545884@qq.com" ]

792545884@qq.com

69219886e2fb7b8ea37b60e28d74a109c0dd00ec

508bef828c3ce1f1c53fbe52397632ebcb392a7f

/excercise/DataOutput.py

17f26dd4e5ecf58f8a646828a506123f3f85f981

[]

no_license

wudangqibujie/excercise

bc19a7923836aae9d12e1147b1d282250c0037c6

ff3e255e809e414fd43e7cf16e03466c91b613a2

refs/heads/master

2021-05-02T12:20:09.701592

2018-02-08T09:20:04

120,738,926

0

null

UTF-8

Python

false

904

py

import codecs import json class DataOutput(object): def __init__(self): self.datas = [] def store_data(self,data): if data is None: return self.datas.append(data) def output_txt(self): print(self.datas) print(len(self.datas)) def output_html(self): fout = codecs.open("baike.html",'w',encoding="utf-8") fout.write("<html>") fout.write("<body>") fout.write("<table>") for data in self.datas: fout.write("<tr>") fout.write("<td>%s</td>"%data['url']) fout.write("<td>%s</td>"%data['title']) fout.write("<td>%s</td>"%data['summary']) fout.write("</tr>") self.datas.remove(data) fout.write("</table>") fout.write("</body>") fout.write("</html>") fout.close()

[ "noreply@github.com" ]

wudangqibujie.noreply@github.com

cb404b4d172d193fdd675a194c0f74c3dc2bcbec

7e8c799037f47345cb12a6fc7911610d7ac63640

/blog/models/kategory.py

db1f3aed151335e537ac97042a080087a708be89

[]

no_license

SonerArslan2019/Django_Blog_kilicarslan

bcfd953dfc0d530217c02ff9bf1428160a63e68e

8959708689b830c387c76414545add2474beeddd

refs/heads/master

2023-06-04T06:19:28.209246

2021-06-27T14:50:40

346,781,400

0

null

UTF-8

Python

false

403

py

from django.db import models from autoslug import AutoSlugField class KategoriModel(models.Model): isim = models.CharField(max_length=30, blank=False, null=False) slug = AutoSlugField(populate_from='isim', unique=True) class Meta: db_table = 'kategori' verbose_name_plural = 'Kategoriler' verbose_name = 'Kategori' def __str__(self): return self.isim

[ "soner@arslanyapi.com.tr" ]

soner@arslanyapi.com.tr

314cb13e39d3721bdde09602caf9430c87651252

e2baefd54ed6f44d351d867b8d8eb937424fae23

/class-10/game-of-greed/tests/version_4/test_keep_scorers.py

ad3c4e7685ac39c0a0bdef3b04d08c355b08a355

[]

no_license

codefellows/seattle-python-401n2

60cc100b5b6dc8bc3d72784a5ec8f9c2c9db1942

24148a2ee6526104566b5df64945a40222cfb3e2

refs/heads/main

2023-04-23T15:35:49.820538

2021-04-24T18:02:51

316,109,616

8

16

null

2021-03-10T05:36:09

2020-11-26T03:06:19

Jupyter Notebook

UTF-8

Python

false

460

py

import pytest from game_of_greed.game_logic import GameLogic pytestmark = [pytest.mark.version_4] @pytest.mark.parametrize( "test_input,expected", [ ((1, 1, 1, 2, 3, 4), (1, 1, 1)), ((1, 1, 5, 2, 3, 5), (1, 1, 5, 5)), ((1, 6, 5, 2, 3, 4), (1, 6, 5, 2, 3, 4)), ((1, 6, 5, 2, 3), (1, 5)), ], ) def test_get_scorers(test_input, expected): actual = GameLogic.get_scorers(test_input) assert actual == expected

[ "rogerhuba@gmail.com" ]

rogerhuba@gmail.com

270a1aae2fd8c1049b534b01bbc44c37a2580987

79e19819aec49b500825f82a7de149eb6a0ba81d

/leetcode/704.py

67ae34f57125b3c89b84138ec42378a347353c62

[]

no_license

seoyeonhwng/algorithm

635e5dc4a2e9e1c50dc0c75d9a2a334110bb8e26

90406ee75de69996e666ea505ff5d9045c2ad941

refs/heads/master

2023-05-03T16:51:48.454619

2021-05-26T00:54:40

297,548,218

0

null

UTF-8

Python

false

174

py

class Solution: def search(self, nums: List[int], target: int) -> int: try: return nums.index(target) except ValueError: return -1

[ "seoyeon@nowbusking.com" ]

seoyeon@nowbusking.com

d63a8cf77a7bbfd03771436916c9f84472b354e1

13efb3baccc678f9d57776244c7dc067e486df9e

/students/migrations/0021_auto_20160517_1221.py

e9210404690fc2e9213f7ae9d9febd5fc7d78325

[]

no_license

grydinywka/studentsdb

fd109dfe60f4ffd666c12acbe645ca14e064c29b

bc2c968538f88bd539d931a7caf1b693fbb65843

refs/heads/master

2020-05-31T00:05:22.638475

2016-08-26T17:00:43

31,331,814

0

null

UTF-8

Python

false

576

py

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations import students.models.Result_exam class Migration(migrations.Migration): dependencies = [ ('students', '0020_auto_20160421_0936'), ] operations = [ migrations.AlterField( model_name='result_exam', name='valuetion', field=models.DecimalField(verbose_name='\u041e\u0446\u0456\u043d\u043a\u0430', max_digits=2, decimal_places=0, validators=[students.models.Result_exam.validate_value]), ), ]

[ "grydinywka@gmail.com" ]

grydinywka@gmail.com

0ef2bcc9c688462fe238bb21496e160b45812ca0

3e4b8fe54f11bf36f3615c21fdc1dca0ed00fe72

/month04/spider/day01/text/02_tieba.py

63d1010207234daf73d93db6df89f20b4e00ef29

[]

no_license

leinian85/year2019

30d66b1b209915301273f3c367bea224b1f449a4

2f573fa1c410e9db692bce65d445d0543fe39503

refs/heads/master

2020-06-21T20:06:34.220046

2019-11-04T06:37:02

197,541,549

0

null

UTF-8

Python

false

1,495

py

from urllib import request from urllib import parse import random import time from fake_useragent import UserAgent import re class TiebaSpider: def __init__(self): self.url = "http://tieba.baidu.com/f?kw={}&pn={}" def set_headers(self): us = UserAgent() self.headers = {"User-Agent":us.random} # 获取响应内容 def get_page(self, url): self.set_headers() req = request.Request(url=url, headers=self.headers) res = request.urlopen(req) html = res.read().decode() return html # 解析,提取数据 def parse_page(self, name): return request.quote(name) # 保存数据 def write_page(self, filename, html): with open(filename, 'w') as f: f.write(html) def run(self, name, start, end): for page in range(start, end + 1): url = self.url.format(self.parse_page(name), (page - 1) * 50) filename = name + "_" + str(page) + ".html" html = self.get_page(url) print(url) # imgs = self.get_imgs(html) self.write_page(filename, html) print("第{}页抓取成功".format(page)) time.sleep(random.randint(1, 3)) def get_imgs(self, html): pattern = re.compile("",re.S) if __name__ == "__main__""": begin = time.time() spider = TiebaSpider() spider.run("赵丽颖", 1, 3) stop = time.time() print("执行时间%.2f" % (stop - begin))

[ "42737521@qq.com" ]

42737521@qq.com

8d1ae267007951a34533aae1e23eb15ed57cf4ee

0d5e40b598ee3ad2c0575a45857df49457a99cc7

/june/handlers/api.py

d6ab577e83fa85e62f43ad5ac12f2b2f71770f36

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permissive

mitnk/june

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ab2b8e42e9b632923187333cd91af0f683c16ba6

refs/heads/master

2021-01-18T12:01:19.949051

2012-03-27T07:10:43

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import math from tornado.options import options from june.lib.handler import BaseHandler from june.lib.decorators import require_user from june.models import Topic, Member, Reply from june.models.mixin import NotifyMixin class UpTopicHandler(BaseHandler): """Up a topic will increase impact of the topic, and increase reputation of the creator """ @require_user def post(self, id): topic = self.db.query(Topic).filter_by(id=id).first() if not topic: self.send_error(404) return user_id = self.current_user.id if topic.user_id == user_id: # you can't vote your own topic dct = {'status': 'fail', 'msg': 'cannot up vote your own topic'} self.write(dct) return if user_id in topic.down_users: # you can't up and down vote at the same time dct = {'status': 'fail', 'msg': 'cannot up vote your down topic'} self.write(dct) return creator = self.db.query(Member).filter_by(id=topic.user_id).first() up_users = list(topic.up_users) if user_id in up_users: up_users.remove(user_id) topic.ups = ','.join(str(i) for i in up_users) topic.impact -= self._calc_topic_impact() creator.reputation -= self._calc_user_impact() self.db.add(creator) self.db.add(topic) self.db.commit() dct = {'status': 'ok'} dct['data'] = {'action': 'cancel', 'count': len(up_users)} self.write(dct) self.cache.delete('topic:%s' % str(id)) return up_users.append(user_id) topic.ups = ','.join(str(i) for i in up_users) topic.impact += self._calc_topic_impact() creator.reputation += self._calc_user_impact() self.db.add(topic) self.db.add(creator) self.db.commit() dct = {'status': 'ok'} dct['data'] = {'action': 'active', 'count': len(up_users)} self.write(dct) self.cache.delete('topic:%s' % str(id)) return def _calc_topic_impact(self): if self.current_user.reputation < 2: return 0 factor = int(options.up_factor_for_topic) return factor * int(math.log(self.current_user.reputation)) def _calc_user_impact(self): if self.current_user.reputation < 2: return 0 factor = int(options.up_factor_for_user) impact = factor * int(math.log(self.current_user.reputation)) return min(impact, int(options.up_max_for_user)) class DownTopicHandler(BaseHandler): """Down a topic will reduce impact of the topic, and decrease reputation of the creator """ @require_user def post(self, id): topic = self.db.query(Topic).filter_by(id=id).first() if not topic: self.send_error(404) return user_id = self.current_user.id if topic.user_id == user_id: # you can't vote your own topic dct = {'status': 'fail', 'msg': "cannot down vote your own topic"} self.write(dct) return if user_id in topic.up_users: # you can't down and up vote at the same time dct = {'status': 'fail', 'msg': "cannot down vote your up topic"} self.write(dct) return creator = self.db.query(Member).filter_by(id=topic.user_id).first() down_users = list(topic.down_users) if user_id in down_users: #TODO: can you cancel a down vote ? down_users.remove(user_id) topic.downs = ','.join(str(i) for i in down_users) topic.impact += self._calc_topic_impact() creator.reputation += self._calc_user_impact() self.db.add(creator) self.db.add(topic) self.db.commit() dct = {'status': 'ok'} dct['data'] = {'action': 'cancel', 'count': len(down_users)} self.write(dct) self.cache.delete('topic:%s' % str(id)) return down_users.append(user_id) topic.downs = ','.join(str(i) for i in down_users) topic.impact -= self._calc_topic_impact() creator.reputation -= self._calc_user_impact() self.db.add(creator) self.db.add(topic) self.db.commit() dct = {'status': 'ok'} dct['data'] = {'action': 'active', 'count': len(down_users)} self.write(dct) self.cache.delete('topic:%s' % str(id)) return def _calc_topic_impact(self): if self.current_user.reputation < 2: return 0 factor = int(options.down_factor_for_topic) return factor * int(math.log(self.current_user.reputation)) def _calc_user_impact(self): if self.current_user.reputation < 2: return 0 factor = int(options.down_factor_for_user) impact = factor * int(math.log(self.current_user.reputation)) return min(impact, int(options.down_max_for_user)) class AcceptReplyHandler(BaseHandler, NotifyMixin): """Vote for a reply will affect the topic impact and reply user's reputation """ def _is_exist(self, topic_id, reply_id): reply = self.db.query(Reply).filter_by(id=reply_id).first() if not reply or reply.topic_id != int(topic_id): return False topic = self.db.query(Topic).filter_by(id=topic_id).first() if not topic: return False return reply, topic def _calc_user_impact(self): if self.current_user.reputation < 2: return 0 factor = int(options.accept_reply_factor_for_user) impact = factor * int(math.log(self.current_user.reputation)) return min(impact, int(options.vote_max_for_user)) def post(self, topic_id, reply_id): reply_topic = self._is_exist(topic_id, reply_id) if not reply_topic: self.send_error(404) return reply, topic = reply_topic user_id = self.current_user.id if user_id != topic.user_id: dct = {'status': 'fail', 'msg': 'you are not topic owner'} self.write(dct) return if user_id == reply.user_id: dct = {'status': 'fail', 'msg': 'cannot accept your own reply'} self.write(dct) return creator = self.db.query(Member).filter_by(id=reply.user_id).first() if reply.accepted == 'y': creator.reputation -= self._calc_user_impact() reply.accepted = 'n' self.db.add(creator) self.db.add(reply) self.db.commit() self.cache.delete('ReplyListModule:%s:1' % topic.id) dct = {'status': 'ok', 'data': 'cancel'} self.write(dct) return creator.reputation += self._calc_user_impact() reply.accepted = 'y' self.db.add(reply) self.db.add(creator) link = '/topic/%s' % topic.id self.create_notify(reply.user_id, topic.title, reply.content, link, 'accept') self.db.commit() self.cache.delete('ReplyListModule:%s:1' % topic.id) dct = {'status': 'ok', 'data': 'active'} self.write(dct) return handlers = [ ('/api/topic/(\d+)/up', UpTopicHandler), ('/api/topic/(\d+)/down', DownTopicHandler), ('/api/topic/(\d+)/(\d+)/accept', AcceptReplyHandler), ]

[ "lepture@me.com" ]

lepture@me.com

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/Project/.history/main_20211116163259.py

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[]

no_license

Bom19990111/helloword_python

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refs/heads/master

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import product as p def choose(): action = 0 while action >= 0: if action == 1: p.AddProduct() print("--------------------------------") elif action == 2: p.DeleteProduct() elif action == 3: p.UpdateProduct() elif action == 4: p.ShowAllProduct() elif action == 5: p.FindProductByName() elif action == 6: p.SortProductNameA_Z() print("Đã sắp xếp thành công! Vui lòng chọn số 4 để xem kết quả".upper()) print("********************************") elif action == 7: p.SortProductNameZ_A() print("Đã sắp xếp thành công! Vui lòng chọn số 4 để xem kết quả".upper()) print("********************************") elif action == 8: p.SortPriceAsc() print("Đã sắp xếp thành công! Vui lòng chọn số 4 để xem kết quả".upper()) print("********************************") elif action == 9: p.SortPriceDesc() print("Đã sắp xếp thành công! Vui lòng chọn số 4 để xem kết quả".upper()) print("********************************") elif action == 10: p.ImportExecel()() elif action == 11: p.ExportExecl() print("Vui lòng chọn chức năng bạn muốn: ") print("0. Thoát khỏi chương trình. ") print("1. Thêm mới sản phẩm. ") print("2. Xóa sản phẩm. ") print("3. Cập nhật thông tin sản phẩm. ") print("4. Xem danh sách tất cả sản phẩm. ") print("5. Tìm kiếm sản phẩm theo tên hoặc theo thương hiệu. ") print("6. Sắp xếp tên sản phẩm A-Z. ") print("7. Sắp xếp tên sản phẩm Z-A. ") print("8. Sắp xếp giá sản phẩm tăng dần. ") print("9. Sắp xếp tên sản phẩm giảm dần. ") print("10. Import file excel. ") print("11. Export file excel. ") try: action = int(input("Bạn chọn chức năng? ")) except ValueError: if action == 12: print("Không có chức năng bạn chọn, mời chọn lại!".upper()) else: print("Không có chức năng bạn chọn, mời chọn lại!".upper()) try: choose() except: print("Dừng chương trình!") if action == 0: print("Đã thoát chương trình") break choose()

[ "phanthituyngoc1995@gmail.com" ]

phanthituyngoc1995@gmail.com

a6793fef67f7d299ac2575aa4f3fdafd5fc99bae

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/analysis-blocks/scripts/SlowAdder.py

fd81750d4252600627d344e3bba39799ecfc459f

[]

no_license

metamorph-inc/openmeta-examples-and-templates

cffdcecf8b4fca1ea8ae4f8880a5f2720ec05f4b

4f6cc54510c742b9a3bf39338a5a01df510c1243

refs/heads/master

2023-04-10T06:25:28.691426

2020-03-12T23:20:36

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py

from __future__ import print_function from openmdao.api import IndepVarComp, Component, Problem, Group, FileRef import numpy as np import time class SlowAdder(Component): def __init__(self): super(SlowAdder, self).__init__() self.add_param("x", val=0.0) self.add_param("y", val=0.0) self.add_output("z", val=0.0) def solve_nonlinear(self, params, unknowns, resids): time.sleep(10) unknowns["z"] = params["x"] + params["y"] def main(): top = Problem() root = top.root = Group() root.add('Input', IndepVarComp([('x', 1.0), ('y', 2.0)])) root.add('p', SlowAdder()) root.connect('Input.x', 'p.x') root.connect('Input.y', 'p.y') top.setup() top.run() print('z =', root.p.unknowns['z']) if __name__ == "__main__": main()

[ "tthomas@metamorphsoftware.com" ]

tthomas@metamorphsoftware.com

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/podoc/tests/test_utils.py

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[ "BSD-3-Clause" ]

permissive

willingc/podoc

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refs/heads/master

2021-01-17T10:04:47.414887

2016-04-02T09:56:55

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2016-03-10T15:32:23

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# -*- coding: utf-8 -*- """Test utility functions.""" #------------------------------------------------------------------------------ # Imports #------------------------------------------------------------------------------ import json import logging import os.path as op from pytest import mark, raises from ..utils import (Bunch, Path, load_text, dump_text, _get_file, assert_equal, pandoc, has_pandoc, get_pandoc_formats) logger = logging.getLogger(__name__) require_pandoc = mark.skipif(not(has_pandoc()), reason='pypandoc is not available') #------------------------------------------------------------------------------ # Tests #------------------------------------------------------------------------------ def test_bunch(): obj = Bunch() obj['a'] = 1 assert obj.a == 1 obj.b = 2 assert obj['b'] == 2 assert obj.copy().a == 1 def test_path(): print(Path(__file__)) assert Path(__file__).exists() def test_assert_equal(): assert_equal([0], [0]) assert_equal({'a': 1, 'b': [2, 3], '_c': 0}, {'a': 1, 'b': [2, 3], '_c': 1}) with raises(AssertionError): assert_equal({'a': 1, 'b': [2, 3], '_c': 0}, {'a': 1, 'b': [2, 4], '_c': 0}) #------------------------------------------------------------------------------ # Test file I/O #------------------------------------------------------------------------------ def test_open_dump_text(tempdir): path = op.join(tempdir, 'test.txt') dump_text('hello *world*', path) assert load_text(path) == 'hello *world*' assert _get_file(path, 'r').read() == 'hello *world*' with open(path, 'r') as f: assert _get_file(f, 'r').read() == 'hello *world*' def test_pandoc(): out = pandoc('hello *world*', 'json', format='markdown') assert isinstance(json.loads(out), list) sl, tl = get_pandoc_formats() assert 'markdown' in sl assert 'markdown' in tl

[ "cyrille.rossant@gmail.com" ]

cyrille.rossant@gmail.com

6a6fa620c02a9969300f1da35177f8acf5abe1d9

585bc7a21664e7a371950c4811723aae92256c92

/test.py

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[]

no_license

JacquesLucke/ml_test

bfb421ba6c423bfda545dac7aeabbcc81d71abd8

3c743b0b60dcf492a64bea2ed16c7edc4e6a6809

refs/heads/master

2023-06-03T20:24:46.733564

2021-06-19T17:08:10

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py

import numpy as np weights = np.array( [ [[1, 2], [3, 4]], [[-1, -2], [-3, -4]], [[0, 3], [-1, 2]], ] ) data_in = np.array( [ [1, 2], [3, 4], ] ) print(weights.shape) print(weights) print(data_in.shape) print(data_in) print(np.tensordot(weights, data_in, 2)) expected_result = np.array( [ 1 + 4 + 9 + 16, # 30 -1 - 4 - 9 - 16, # -30 0 + 6 - 3 + 8, # 11 ] ) factor = np.array([10, 100, 1]) print(np.tensordot(factor, weights, 1)) # factor = np.broadcast_to(factor, (2, 2, 3)) # print(factor) # print(factor * weights)

[ "mail@jlucke.com" ]

mail@jlucke.com

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6466eef5477db250879a74935b3b776dc878ff3b

/ideas/views.py

e959cd77ba2866f690fca657fdcb6afc1b18108b

[]

no_license

BakdauletBolatE/django_ideas

8edb61a569f436865283e82edba3377a150665a8

ef0258f3aae0c090d38a5098d175bceaddcf67af

refs/heads/master

2023-03-12T00:02:04.969353

2021-03-02T19:41:00

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null

UTF-8

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py

from django.shortcuts import render, redirect from Content.models import Ideas,ICategory def home(request): lastideas = Ideas.objects.all()[:3] categories = ICategory.objects.all()[:4] data = { 'categories':categories, 'lastideas':lastideas } return render(request,'home/home.html',data)

[ "bakosh21345@gmail.com" ]

bakosh21345@gmail.com

824db027a189587196ece3814888aad0001898d6

d95a672d614ea547a79be582fc9e9e97a09f7d9d

/pack/ex3_18.py

2e00fe3851e1b7f4f70930d8e8514b207e749b6b

[]

no_license

vt0311/python

26992c096512df8d0304f6d8b452a663645a8b61

51fa4c240b9f69a81f68d75e3f6ffdd9dada8848

refs/heads/master

2021-09-06T12:01:40.433969

2018-02-06T09:28:32

107,950,338

0

null

UTF-8

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py

print('방법1 : import 패키지명.모듈명') import pack.mymod1 print(dir(pack.mymod1)) # mymod1에 정의된 멤버 확인 print(pack.mymod1.__file__)# 경로 명 및 파일 명 print(pack.mymod1.__name__)# 모듈 명 print('mymod1의 함수 호출') list1 = [1, 3] list2 = [1, 2] pack.mymod1.ListHap(list1, list2) print('다른 모듈의 전역 변수 : ', pack.mymod1.tot) print('방법2 : from 패키지명 import 모듈명') from pack import mymod1 mymod1.Kbs()# 모듈명.함수명으로 호출한다. print('방법3 : from 패키지명.모듈명 import 함수명') from pack.mymod1 import Mbc Mbc() # 함수명으로 호출한다. print('패키지 경로가 다른 곳에 있는 모듈 읽기') import pack_other.mymod2 print('패키지명.모듈명.함수명()으로 호출') re_hap = pack_other.mymod2.Hap(5, 3) print('합 :', re_hap) print('차 :', pack_other.mymod2.Cha(5, 3)) # PythonPath : C:\Anaconda3\Lib 폴더에 mymod3.py 파일을 미리 복사해둔다. print('PythonPath가 설정된 폴더의 모듈 읽기 실습') import mymod3 print('곱1 :', mymod3.Gop(5, 3)) from mymod3 import * print('곱2 :', Gop(10, 5)) print('\n\n전혀 연관이 없는 폴더의 모듈 읽기') print('방법1 : Pythonpath에 해당 폴더를 추가한다.') print('방법2') import sys sys.path.append(r'c:/work') # run time 시점에 'c:/work'를 읽어 들이므로 문제 없음 # 아래 빨간 줄 무시 import mymod4 print('나누기 :', mymod4.Nanugi(5, 3))

[ "hsw0311@nate.com" ]

hsw0311@nate.com

82c582ff24e69ccb0acace9ec4ffa7596294a51b

8a4c32783b2c8e13eca88d193c767bd25e63306c

/algo/gnn/gat.py

6d087b9d8c3dafdbfde8dff45067056d7cf2b909

[]

no_license

fs302/GraphWorld

6765e4ba36d3af2ed5f820e52514096b3aeb10d7

9864eaca21f41117adf758f74379efa87692f5f8

refs/heads/master

2022-07-31T17:05:32.535380

2022-07-08T08:35:15

196,156,937

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null

UTF-8

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776

py

import torch from torch.nn import Linear import torch.nn.functional as F from torch_geometric.nn import GATConv class GAT(torch.nn.Module): def __init__(self, input_channels, hidden_channels, out_channels, heads, dropout_ratio=0.): super().__init__() torch.manual_seed(1234567) self.dropout_ratio = dropout_ratio self.conv1 = GATConv(input_channels, hidden_channels, heads) self.conv2 = GATConv(hidden_channels * heads, out_channels) def forward(self, x, edge_index): x = F.dropout(x, p=self.dropout_ratio, training=self.training) x = self.conv1(x, edge_index) x = F.elu(x) x = F.dropout(x, p=self.dropout_ratio, training=self.training) x = self.conv2(x, edge_index) return x

[ "fanshen.fs@alibaba-inc.com" ]

fanshen.fs@alibaba-inc.com

417dfcc3c5f7259d1d81b83fb9ee10f6e487a810

801f367bd19b8f2ab08669fd0a85aad7ace961ac

/rl-fmri/tmp_sort_by_covariance.py

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[ "MIT" ]

permissive

Wendong-Huo/thesis-bodies

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refs/heads/main

2023-04-17T18:32:38.541537

2021-03-12T19:53:23

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2023-04-04T12:45:48

2023-04-04T12:45:47

null

UTF-8

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false

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py

import numpy as np N = 5 t_org = np.arange(N) pi = np.random.permutation(N) x_org = np.array([np.random.randn(100)*k for k in range(N)]) S_org = np.cov(x_org) print("Covariance of sorted time steps", S_org, sep="\n") t_obs = t_org[pi] x_obs = x_org[pi] S_obs = np.cov(x_obs) print("Covariance of unsorted time steps", S_obs, sep="\n") #%% Using indexing S[p][:,p] p = np.argsort(t_obs) print("Reconstruction equals original:", S_obs[p][:,p] == S_org, sep="\n") #%% Alternative using Permutation matrix P = np.eye(N)[p] print("Permutation matrix", P, sep="\n") print("Reconstruction equals original:", P@S_obs@P.T == S_org, sep="\n")

[ "sliu1@uvm.edu" ]

sliu1@uvm.edu

23ffd822cb9394060d8ed04bdd0e6a6f5ea26806

0df7f40b27cffe0b4e009041c35fc1e78e33f82d

/django_api/users/admin.py

c6a9e761a57586af5b9cd2a6a296661ba21db9e3

[ "MIT" ]

permissive

ridwanray/tay-twitter-microservices

5be11f166bd0e2dba298da1577549264315d0120

d5bdb6b6d4fd8333efbb4c79752f8c5efaccb1f0

refs/heads/master

2023-01-09T13:22:46.917407

2020-11-20T01:16:06

null

0

null

UTF-8

Python

false

352

py

"""Admin App Customization is done here""" from django.contrib import admin from .models import User from django.contrib.auth.admin import UserAdmin class CustomUserAdmin(UserAdmin): """Custom Admin Manager for Custom USer Model""" fieldsets = UserAdmin.fieldsets + ( (None, {'fields': ("follower", "following")}), ) admin.site.register(User)

[ "tay2druh@gmail.com" ]

tay2druh@gmail.com

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55647258df0565f19179ffb97ac217708d84ba4a

/social/serializers/comments.py

4ac4833bd46f2e9cefdd1058d793c2201b05038b

[]

no_license

beatonma/snommoc

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0a9d37dcad112c5dd98609c1566e74176ae3d89d

refs/heads/main

2022-03-11T07:53:33.038649

2022-03-05T17:03:56

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0

null

2022-02-18T17:54:30

2019-05-25T17:35:58

Python

UTF-8

Python

false

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import bleach from rest_framework import serializers from social.models.comments import Comment from social.models.mixins import get_target_kwargs from social.models.token import UserToken from social.views import contract class CommentSerializer(serializers.ModelSerializer): username = serializers.CharField(source="user.username") class Meta: model = Comment fields = [ contract.USER_NAME, contract.COMMENT_TEXT, "created_on", "modified_on", ] class PostCommentSerializer(serializers.ModelSerializer): def __init__(self, target, *args, **kwargs): super().__init__(*args, **kwargs) self.target = target token = serializers.CharField() def validate(self, data): original_text = data[contract.COMMENT_TEXT] stripped_text = bleach.clean( original_text, tags=[], attributes={}, styles=[], strip=True ) if original_text != stripped_text: data[contract.FLAGGED] = True data[contract.COMMENT_TEXT] = stripped_text return data class Meta: model = Comment fields = [ contract.USER_TOKEN, contract.COMMENT_TEXT, ] def update(self, instance, validated_data): pass def create(self, validated_data): comment, _ = Comment.objects.get_or_create( user=UserToken.objects.get(token=validated_data.get(contract.USER_TOKEN)), **get_target_kwargs(self.target), text=validated_data.get(contract.COMMENT_TEXT), flagged=validated_data.get(contract.FLAGGED, False), ) return comment

[ "beatonma@gmail.com" ]

beatonma@gmail.com

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refs/heads/main

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2021-04-19T14:35:18

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""" RockstarArbor io classes and member functions """ #----------------------------------------------------------------------------- # Copyright (c) ytree development team. All rights reserved. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file COPYING.txt, distributed with this software. #----------------------------------------------------------------------------- import numpy as np from ytree.data_structures.io import \ CatalogDataFile from ytree.utilities.io import \ f_text_block class RockstarDataFile(CatalogDataFile): def __init__(self, filename, arbor): self.offsets = None super(RockstarDataFile, self).__init__(filename, arbor) def open(self): self.fh = open(self.filename, "r") def _parse_header(self): self.open() f = self.fh f.seek(0, 2) self.file_size = f.tell() f.seek(0) while True: line = f.readline() if line is None: self._hoffset = f.tell() break elif not line.startswith("#"): self._hoffset = f.tell() - len(line) break elif line.startswith("#a = "): self.scale_factor = float(line.split(" = ")[1]) self.close() def _read_data_default(self, rfields, dtypes): if not rfields: return {} fi = self.arbor.field_info field_data = \ self._create_field_arrays(rfields, dtypes) offsets = [] self.open() f = self.fh f.seek(self._hoffset) file_size = self.file_size - self._hoffset for line, offset in f_text_block(f, file_size=file_size): offsets.append(offset) sline = line.split() for field in rfields: field_data[field].append(sline[fi[field]["column"]]) self.close() for field in rfields: field_data[field] = \ np.array(field_data[field], dtype=dtypes[field]) if self.offsets is None: self.offsets = np.array(offsets) return field_data def _read_data_select(self, rfields, tree_nodes, dtypes): if not rfields: return {} fi = self.arbor.field_info nt = len(tree_nodes) field_data = \ self._create_field_arrays(rfields, dtypes, size=nt) self.open() f = self.fh for i in range(nt): f.seek(self.offsets[tree_nodes[i]._fi]) line = f.readline() sline = line.split() for field in rfields: dtype = dtypes[field] field_data[field][i] = dtype(sline[fi[field]["column"]]) self.close() return field_data

[ "brittonsmith@gmail.com" ]

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# Do NOT add chrome to the list below. We shouldn't be including files # from src/chrome in src/content. include_rules = [ # The subdirectories in content/ will manually allow their own include # directories in content/ so we disallow all of them. "-content", "+content/app/resources/grit/content_resources.h", "+content/common", "+content/grit", "+content/public/common", "+content/public/test", "+content/test", "+blink/public/resources/grit", "+cc", "-cc/blink", # If you want to use any of these files, move them to src/base first. "-cc/base/scoped_ptr_algorithm.h", "-cc/base/scoped_ptr_deque.h", "-cc/base/scoped_ptr_vector.h", "-components", # Content can depend on components that are: # 1) related to the implementation of the web platform # 2) shared code between third_party/WebKit and content # It should not depend on chrome features or implementation details, i.e. the # original components/ directories which was code split out from chrome/ to be # shared with iOS. This includes, but isn't limited to, browser features such # as autofill or extensions, and chrome implementation details such as # settings, packaging details, installation or crash reporting. "+crypto", "+grit/blink_resources.h", "+grit/content_strings.h", "+dbus", "+gpu", "+media", "+mojo/common", "+mojo/edk/embedder", "+mojo/edk/js", "+mojo/edk/test", "+mojo/message_pump", "+mojo/public", "+net", "+ppapi", "+printing", "+sandbox", "+skia", # In general, content/ should not rely on google_apis, since URLs # and access tokens should usually be provided by the # embedder. # # There are a couple of specific parts of content that are excepted # from this rule, e.g. content/browser/speech/DEPS. These are cases of # implementations that are strongly tied to Google servers, i.e. we # don't expect alternate implementations to be provided by the # embedder. "-google_apis", # Don't allow inclusion of these other libs we shouldn't be calling directly. "-v8", "-tools", # Allow inclusion of third-party code: "+third_party/angle", "+third_party/boringssl/src/include", "+third_party/flac", "+third_party/libjingle", "+third_party/mozilla", "+third_party/ocmock", "+third_party/re2", "+third_party/skia", "+third_party/sqlite", "+third_party/khronos", "+third_party/webrtc", "+third_party/webrtc_overrides", "+third_party/zlib/google", "+third_party/WebKit/public", "+ui/accelerated_widget_mac", "+ui/accessibility", "+ui/android", # Aura is analogous to Win32 or a Gtk, so it is allowed. "+ui/aura", "+ui/base", "+ui/compositor", "+ui/display", "+ui/events", "+ui/gfx", "+ui/gl", "+ui/native_theme", "+ui/ozone/public", "+ui/resources/grit/ui_resources.h", "+ui/resources/grit/webui_resources.h", "+ui/resources/grit/webui_resources_map.h", "+ui/shell_dialogs", "+ui/snapshot", "+ui/strings/grit/ui_strings.h", "+ui/surface", "+ui/touch_selection", "+ui/wm", # Content knows about grd files, but the specifics of how to get a resource # given its id is left to the embedder. "-ui/base/l10n", "-ui/base/resource", # These files aren't related to grd, so they're fine. "+ui/base/l10n/l10n_util_android.h", "+ui/base/l10n/l10n_util_win.h", # Content shouldn't depend on views. While we technically don't need this # line, since the top level DEPS doesn't allow it, we add it to make this # explicit. "-ui/views", "+storage/browser", "+storage/common", # For generated JNI includes. "+jni", ] # content -> content/shell dependency is not allowed, except for browser tests. specific_include_rules = { ".*_browsertest[a-z_]*\.(cc|h)": [ "+content/shell/browser", "+content/shell/common", ], }

[ "xElvis89x@gmail.com" ]

xElvis89x@gmail.com

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2021-01-20T18:24:10.349144

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# 2016.08.04 19:50:21 Střední Evropa (letní čas) # Embedded file name: scripts/client/gui/Scaleform/daapi/view/lobby/clans/search/ClanSearchInfo.py import weakref import BigWorld from adisp import process from gui import SystemMessages from gui.clans import formatters as clans_fmts from gui.clans.clan_controller import g_clanCtrl from gui.clans.contexts import CreateApplicationCtx from gui.clans.clan_helpers import ClanListener from gui.clans.items import formatField from gui.clans.settings import CLIENT_CLAN_RESTRICTIONS, MAX_CLAN_MEMBERS_COUNT from gui.Scaleform.daapi.view.lobby.profile.ProfileUtils import HeaderItemsTypes, ProfileUtils from gui.Scaleform.daapi.view.meta.ClanSearchInfoMeta import ClanSearchInfoMeta from gui.Scaleform.locale.CLANS import CLANS from gui.shared.formatters import text_styles from gui.shared.utils.functions import makeTooltip from gui.shared.view_helpers import ClanEmblemsHelper from helpers.i18n import makeString as _ms from gui.shared import event_dispatcher as shared_events def _packItemData(text, description, tooltip, icon): return {'type': HeaderItemsTypes.COMMON, 'text': text, 'description': _ms(description), 'iconPath': ProfileUtils.getIconPath(icon), 'tooltip': tooltip, 'enabled': True} class ClanSearchInfo(ClanSearchInfoMeta, ClanListener, ClanEmblemsHelper): def __init__(self): super(ClanSearchInfo, self).__init__() self.__dataProvider = None self.__selectedClan = None return def bindDataProvider(self, dataProvider): self.__dataProvider = weakref.proxy(dataProvider) def openClanProfile(self): shared_events.showClanProfileWindow(self.__selectedClan.getClanDbID(), self.__selectedClan.getClanAbbrev()) def onAccountClanProfileChanged(self, profile): self._updateSetaledState() @process def sendRequest(self): self.as_setWaitingVisibleS(True) context = CreateApplicationCtx([self.__selectedClan.getClanDbID()]) result = yield g_clanCtrl.sendRequest(context, allowDelay=True) if result.isSuccess(): SystemMessages.pushMessage(clans_fmts.getAppSentSysMsg(self.__selectedClan.getClanName(), self.__selectedClan.getClanAbbrev())) self._updateSetaledState() self.as_setWaitingVisibleS(False) def requestData(self, clanId): self.__selectedClan = self.__dataProvider.getClanInfo(clanId) self._updateDetailedInfo() self._updateClanEmblem() self._updateSetaledState() def onClanEmblem128x128Received(self, clanDbID, emblem): if clanDbID == self.__selectedClan.getClanDbID(): self.as_setEmblemS(self.getMemoryTexturePath(emblem)) def _populate(self): super(ClanSearchInfo, self)._populate() self.__initControls() def _updateClanEmblem(self): self.requestClanEmblem128x128(self.__selectedClan.getClanDbID()) def _updateDetailedInfo(self): clanID = self.__selectedClan.getClanDbID() clanName = formatField(self.__selectedClan.getClanFullName) creationDate = formatField(getter=self.__selectedClan.getCreationDate, formatter=BigWorld.wg_getShortDateFormat) rating = formatField(getter=self.__selectedClan.getPersonalRating, formatter=BigWorld.wg_getIntegralFormat) battlesCount = formatField(getter=self.__selectedClan.getBattlesCount, formatter=BigWorld.wg_getIntegralFormat) wins = formatField(getter=self.__selectedClan.getBattleXpAvg, formatter=lambda value: BigWorld.wg_getNiceNumberFormat(value) + '%') avgExp = formatField(getter=self.__selectedClan.getBattlesPerformanceAvg, formatter=BigWorld.wg_getIntegralFormat) stats = [_packItemData(battlesCount, CLANS.SEARCH_INFO_STATS_BATTLES, CLANS.SEARCH_INFO_STATS_BATTLES_TOOLTIP, 'avgBattlesCount40x32.png'), _packItemData(wins, CLANS.SEARCH_INFO_STATS_WINS, CLANS.SEARCH_INFO_STATS_WINS_TOOLTIP, 'avgWins40x32.png'), _packItemData(avgExp, CLANS.SEARCH_INFO_STATS_AVGEXP, CLANS.SEARCH_INFO_STATS_AVGEXP_TOOLTIP, 'avgExp40x32.png')] self.as_setDataS({'clanId': clanID, 'clanName': clanName, 'creationDate': text_styles.main(_ms(CLANS.SEARCH_INFO_CREATIONDATE, date=creationDate)), 'rating': text_styles.promoTitle(rating), 'stats': stats}) def _updateSetaledState(self): requestSentVisible = False sendRequestBtnVisible = True sendRequestBtnEnabled = True sendRequestTooltip = None reason = g_clanCtrl.getLimits().canSendApplication(_ClanAdapter(self.__selectedClan)).reason if reason == CLIENT_CLAN_RESTRICTIONS.NO_RESTRICTIONS: pass elif reason == CLIENT_CLAN_RESTRICTIONS.OWN_CLAN: sendRequestBtnVisible = False elif reason == CLIENT_CLAN_RESTRICTIONS.ALREADY_IN_CLAN: sendRequestBtnVisible = False elif reason == CLIENT_CLAN_RESTRICTIONS.CLAN_IS_FULL: sendRequestBtnEnabled = False sendRequestTooltip = makeTooltip(CLANS.SEARCH_INFO_BANNED_TOOLTIP_HEADER, text_styles.error(_ms(CLANS.SEARCH_INFO_BANNED_TOOLTIP_BODY))) elif reason == CLIENT_CLAN_RESTRICTIONS.CLAN_INVITE_ALREADY_RECEIVED: sendRequestBtnEnabled = False sendRequestTooltip = CLANS.SEARCH_INFO_INVITEALREADYACHIEVED_TOOLTIP elif reason == CLIENT_CLAN_RESTRICTIONS.CLAN_APPLICATION_ALREADY_SENT: sendRequestBtnEnabled = False sendRequestTooltip = CLANS.SEARCH_INFO_REQUESTALREADYSENT_TOOLTIP elif reason == CLIENT_CLAN_RESTRICTIONS.SENT_INVITES_LIMIT_REACHED: sendRequestBtnEnabled = False sendRequestTooltip = CLANS.SEARCH_INFO_REQUESTSLIMITEXCEEDED_TOOLTIP elif reason == CLIENT_CLAN_RESTRICTIONS.CLAN_CONSCRIPTION_CLOSED: sendRequestBtnEnabled = False sendRequestTooltip = CLANS.SEARCH_INFO_REQUESTSARENOTACCEPTED_TOOLTIP elif reason == CLIENT_CLAN_RESTRICTIONS.FORBIDDEN_ACCOUNT_TYPE: sendRequestBtnEnabled = False sendRequestTooltip = makeTooltip(CLANS.SEARCH_INFO_FORBIDDENACCOUNTTYPE_TOOLTIP_HEADER, text_styles.error(_ms(CLANS.SEARCH_INFO_FORBIDDENACCOUNTTYPE_TOOLTIP_BODY))) else: sendRequestBtnVisible = False self.as_setStateDataS({'requestSentVisible': requestSentVisible, 'sendRequestBtnVisible': sendRequestBtnVisible, 'sendRequestBtnEnabled': sendRequestBtnEnabled, 'sendRequestTooltip': sendRequestTooltip, 'alertIconVisible': sendRequestBtnVisible and not sendRequestBtnEnabled}) return def __initControls(self): self.as_setInitDataS({'ratingDescription': text_styles.stats(_ms(CLANS.SEARCH_INFO_RATINGDESCRIPTION)), 'ratingTooltip': CLANS.SEARCH_INFO_RATINGDESCRIPTION_TOOLTIP, 'requestSent': text_styles.success(_ms(CLANS.SEARCH_INFO_REQUESTSENT)), 'clanProfileBtnLabel': _ms(CLANS.SEARCH_INFO_CLANPROFILEBTN), 'sendRequestBtnLabel': _ms(CLANS.SEARCH_INFO_SENDREQUESTBTN)}) self.as_setWaitingVisibleS(False) class _ClanAdapter(object): def __init__(self, clanInfo): super(_ClanAdapter, self).__init__() self.__clanInfo = clanInfo def getDbID(self): return self.__clanInfo.getClanDbID() def canAcceptsJoinRequests(self): return self.__clanInfo.canAcceptsJoinRequests() def hasFreePlaces(self): return MAX_CLAN_MEMBERS_COUNT - self.__clanInfo.getMembersCount() > 0 # okay decompyling c:\Users\PC\wotsources\files\originals\res\scripts\client\gui\scaleform\daapi\view\lobby\clans\search\clansearchinfo.pyc # decompiled 1 files: 1 okay, 0 failed, 0 verify failed # 2016.08.04 19:50:21 Střední Evropa (letní čas)

[ "info@webium.sk" ]

info@webium.sk

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2022-12-22T02:26:46.556215

2020-09-25T20:01:02

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from starlette.applications import Starlette from starlette.websockets import WebSocketDisconnect import json import logging import uvicorn logger = logging.getLogger(__name__) logger.setLevel(logging.DEBUG) app = Starlette() websockets = { 'web': {}, 'desktop': {}, } async def receive_json(websocket): message = await websocket.receive_text() return json.loads(message) @app.websocket_route('/ws') async def websocket_endpoint(websocket): await websocket.accept() # "Authentication" message message = await receive_json(websocket) client_mode = message['client_mode'] client_id = message['client_id'] websockets[client_mode][client_id] = websocket # Get mirror mode to broadcast messages to the client on the other side mirror_mode = 'web' if client_mode == 'desktop' else 'desktop' client_string = f'{client_id}[{client_mode}]' logger.info(f'Client connected: {client_string}') while (True): try: # Wait for a message from the client message = await receive_json(websocket) logger.debug(f'Message received from {client_string}: {message}') try: # Broadcast it to the mirror client await websockets[mirror_mode][client_id].send_text( json.dumps(message) ) except KeyError: logger.debug( f'Client {client_id}[{mirror_mode}] not connected' ) except WebSocketDisconnect: break del websockets[client_mode][client_id] await websocket.close() logger.info(f'Client disconnected: {client_string}') if __name__ == '__main__': uvicorn.run(app, host='0.0.0.0', port=8000)

[ "fvoron@gmail.com" ]

fvoron@gmail.com

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#!/usr/bin/env python3 # -*- coding: utf-8 -*- import os import sys import shutil import argparse import random import numpy as np import allel import zarr import numcodecs import matplotlib.pyplot as plt import seaborn as sns sns.set_style("white") sns.set_style("ticks") populations = ["CHS", "YRI"] pop_colours = {"CHS": "#FF0000", "YRI": "#008000"} sample_population = ["CHS", "YRI"] def do_pca(x, n, ncomp=10): vidx = np.random.choice(x.shape[0], n, replace=False) vidx.sort() y = x.take(vidx, axis=0) coords, model = allel.pca(y, n_components=ncomp, scaler="patterson") return coords, model # Taken from http://alimanfoo.github.io/2015/09/28/fast-pca.html def plot_pca_coords(coords, model, pc1, pc2, ax, sample_population): sns.despine(ax=ax, offset=5) x = coords[:, pc1] y = coords[:, pc2] for pop in populations: flt = sample_population == pop ax.plot( x[flt], y[flt], marker="o", linestyle=" ", color=pop_colours[pop], label=pop, markersize=6, mec="k", mew=0.5, ) ax.set_xlabel( "PC%s (%.1f%%)" % (pc1 + 1, model.explained_variance_ratio_[pc1] * 100) ) ax.set_ylabel( "PC%s (%.1f%%)" % (pc2 + 1, model.explained_variance_ratio_[pc2] * 100) ) def fig_pca(coords, model, title, sample_population): # plot coords for PCs 1 vs 2, 3 vs 4 fig = plt.figure(figsize=(10, 5)) ax = fig.add_subplot(1, 2, 1) plot_pca_coords(coords, model, 0, 1, ax, sample_population) # ax = fig.add_subplot(1, 2, 2) # plot_pca_coords(coords, model, 2, 3, ax, sample_population) ax.legend(bbox_to_anchor=(1, 1), loc="upper left") fig.suptitle(title, y=1.02) fig.tight_layout() return fig if __name__ == "__main__": if snakemake.params.options != "": options = snakemake.params.options.split(" ") sys.argv.extend(options) parser = argparse.ArgumentParser(description="manticore-plotvcf option parser") parser.add_argument( "--subsample-size", metavar="n", type=int, help="subsample size", default=10000 ) args = parser.parse_args() vcf_path = str(snakemake.input.vcf) output = snakemake.output[0] outdir = os.path.dirname(output) plottype = snakemake.wildcards.type dev = snakemake.wildcards.ext ## Convert to zarr zarr_path = os.path.join(outdir, os.path.basename(vcf_path) + ".zarr") allel.vcf_to_zarr( vcf_path, zarr_path, log=sys.stdout, fields="*", alt_number=8, compressor=numcodecs.Blosc(cname="zstd", clevel=1, shuffle=False), ) callset = zarr.open_group(zarr_path, mode="r") g = allel.GenotypeChunkedArray(callset["calldata/GT"]) n = min(len(g), args.subsample_size) gn = g.to_n_alt() coords, model = do_pca(gn, n, ncomp=2) fig = fig_pca(coords, model, "PCA of first four components", sample_population) fig.savefig(output) shutil.rmtree(zarr_path)

[ "per.unneberg@scilifelab.se" ]

per.unneberg@scilifelab.se

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[]

no_license

replicantdeca/bigapple-insys

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refs/heads/master

2020-03-27T12:57:31.894182

2019-12-01T11:25:13

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py

from plotly.basedatatypes import BaseTraceHierarchyType import copy class Stream(BaseTraceHierarchyType): # maxpoints # --------- @property def maxpoints(self): """ Sets the maximum number of points to keep on the plots from an incoming stream. If `maxpoints` is set to 50, only the newest 50 points will be displayed on the plot. The 'maxpoints' property is a number and may be specified as: - An int or float in the interval [0, 10000] Returns ------- int|float """ return self['maxpoints'] @maxpoints.setter def maxpoints(self, val): self['maxpoints'] = val # token # ----- @property def token(self): """ The stream id number links a data trace on a plot with a stream. See https://plot.ly/settings for more details. The 'token' property is a string and must be specified as: - A non-empty string Returns ------- str """ return self['token'] @token.setter def token(self, val): self['token'] = val # property parent name # -------------------- @property def _parent_path_str(self): return 'bar' # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ maxpoints Sets the maximum number of points to keep on the plots from an incoming stream. If `maxpoints` is set to 50, only the newest 50 points will be displayed on the plot. token The stream id number links a data trace on a plot with a stream. See https://plot.ly/settings for more details. """ def __init__(self, arg=None, maxpoints=None, token=None, **kwargs): """ Construct a new Stream object Parameters ---------- arg dict of properties compatible with this constructor or an instance of plotly.graph_objs.bar.Stream maxpoints Sets the maximum number of points to keep on the plots from an incoming stream. If `maxpoints` is set to 50, only the newest 50 points will be displayed on the plot. token The stream id number links a data trace on a plot with a stream. See https://plot.ly/settings for more details. Returns ------- Stream """ super(Stream, self).__init__('stream') # Validate arg # ------------ if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = copy.copy(arg) else: raise ValueError( """\ The first argument to the plotly.graph_objs.bar.Stream constructor must be a dict or an instance of plotly.graph_objs.bar.Stream""" ) # Import validators # ----------------- from plotly.validators.bar import (stream as v_stream) # Initialize validators # --------------------- self._validators['maxpoints'] = v_stream.MaxpointsValidator() self._validators['token'] = v_stream.TokenValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop('maxpoints', None) self.maxpoints = maxpoints if maxpoints is not None else _v _v = arg.pop('token', None) self.token = token if token is not None else _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs))

[ "mgfcrespo@gmail.com" ]

mgfcrespo@gmail.com

92108883e03e44c0b266ef7a49d9dea628e31e41

61b475c33745dbe11d88ea288cbdee279f89c610

/src/izi/apps/dashboard/widgets.py

8fe3723a9b44c00ad92a5dec957228dfddf69ec0

[ "BSD-3-Clause", "LicenseRef-scancode-unknown-license-reference", "BSD-2-Clause" ]

permissive

izi-ecommerce/izi-core

a092ea285d0dbd83d17427de3157a9f1e77d6c51

21176be2d41f0cf54ca954f294209c585f643dba

refs/heads/master

2020-03-30T08:37:39.045514

2018-10-08T02:58:46

151,029,291

0

null

UTF-8

Python

false

2,969

py

import copy import re from django.forms import Widget from django.urls import reverse class RelatedFieldWidgetWrapper(Widget): """ This class is a wrapper to a given widget to add the add icon for the IZI dashboard. """ template_name = 'izi/dashboard/widgets/related_widget_wrapper.html' IS_POPUP_VALUE = '1' IS_POPUP_VAR = '_popup' TO_FIELD_VAR = '_to_field' def __init__(self, widget, rel): self.needs_multipart_form = widget.needs_multipart_form self.attrs = widget.attrs self.choices = widget.choices self.widget = widget self.rel = rel def __deepcopy__(self, memo): obj = copy.copy(self) obj.widget = copy.deepcopy(self.widget, memo) obj.attrs = self.widget.attrs memo[id(self)] = obj return obj @property def is_hidden(self): return self.widget.is_hidden @property def media(self): return self.widget.media def get_related_url(self, info, action, *args): app_label = info[0] model_object_name = info[1] # Convert the model's object name into lowercase, with dashes between # the camel-cased words model_object_name = '-'.join(re.sub('([a-z])([A-Z])', r'\1 \2', model_object_name).lower().split()) # Does not specify current app return reverse("dashboard:%s-%s-%s" % (app_label, model_object_name, action), args=args) def get_context(self, name, value, attrs): rel_opts = self.rel.model._meta info = (rel_opts.app_label, rel_opts.object_name) self.widget.choices = self.choices url_params = '&'.join("%s=%s" % param for param in [ (RelatedFieldWidgetWrapper.TO_FIELD_VAR, self.rel.get_related_field().name), (RelatedFieldWidgetWrapper.IS_POPUP_VAR, RelatedFieldWidgetWrapper.IS_POPUP_VALUE), ]) context = { 'rendered_widget': self.widget.render(name, value, attrs), 'name': name, 'url_params': url_params, 'model': rel_opts.verbose_name, } change_related_template_url = self.get_related_url(info, 'update', '__fk__') context.update( change_related_template_url=change_related_template_url, ) add_related_url = self.get_related_url(info, 'create') context.update( add_related_url=add_related_url, ) delete_related_template_url = self.get_related_url(info, 'delete', '__fk__') context.update( delete_related_template_url=delete_related_template_url, ) return context def value_from_datadict(self, data, files, name): return self.widget.value_from_datadict(data, files, name) def value_omitted_from_data(self, data, files, name): return self.widget.value_omitted_from_data(data, files, name) def id_for_label(self, id_): return self.widget.id_for_label(id_)

[ "diepdt@izi.asia" ]

diepdt@izi.asia

dfb4aafe897b5263ebd18b74bb4a504d4d203e7f

5db0fab37c2b8a618d85d3b60fab9f806c416474

/src/python/pants/backend/go/util_rules/embedcfg.py

d2ed6cc938823c9793be977e5ede6db43a726bc2

[ "Apache-2.0" ]

permissive

pantsbuild/pants

4988d1ac5474ec95f94ce2218aeb759401e4b011

98cbda8545f0d58c586ed2daa76fefd729d5e0d5

refs/heads/main

2023-09-05T03:44:17.646899

2023-09-01T19:52:09

7,209,075

2,708

593

Apache-2.0

2023-09-14T19:33:33

2012-12-17T17:39:04

Python

UTF-8

Python

false

4,141

py

# Copyright 2021 Pants project contributors (see CONTRIBUTORS.md). # Licensed under the Apache License, Version 2.0 (see LICENSE). from __future__ import annotations import json from dataclasses import dataclass from typing import Any, Iterable, Mapping from pants.util.frozendict import FrozenDict from pants.util.strutil import strip_prefix @dataclass(frozen=True) class EmbedConfig: patterns: FrozenDict[str, tuple[str, ...]] files: FrozenDict[str, str] def __init__(self, patterns: Mapping[str, Iterable[str]], files: Mapping[str, str]) -> None: """Configuration passed to the Go compiler to configure file embedding. The compiler relies entirely on the caller to map embed patterns to actual filesystem paths. All embed patterns contained in the package must be mapped. Consult `FirstPartyPkgAnalysis.embed_patterns` for the embed patterns obtained from analysis. :param patterns: Maps each pattern provided via a //go:embed directive to a list of file paths relative to the package directory for files to embed for that pattern. When the embedded variable is an `embed.FS`, those relative file paths define the virtual directory hierarchy exposed by the embed.FS filesystem abstraction. The relative file paths are resolved to actual filesystem paths for their content by consulting the `files` dictionary. :param files: Maps each virtual, relative file path used as a value in the `patterns` dictionary to the actual filesystem path with that file's content. """ object.__setattr__(self, "patterns", FrozenDict({k: tuple(v) for k, v in patterns.items()})) object.__setattr__(self, "files", FrozenDict(files)) @classmethod def from_json_dict( cls, d: dict[str, Any], prefix_to_strip: str | None = None ) -> EmbedConfig | None: patterns = d.get("Patterns", {}) files = d.get("Files", {}) if prefix_to_strip: files = {key: strip_prefix(value, prefix_to_strip) for key, value in files.items()} result = cls( patterns=FrozenDict({key: tuple(value) for key, value in patterns.items()}), files=FrozenDict(files), ) return result if result else None def to_embedcfg(self) -> bytes: data = { "Patterns": dict(self.patterns), "Files": dict(self.files), } return json.dumps(data).encode("utf-8") def __bool__(self) -> bool: return bool(self.patterns) or bool(self.files) def merge(self, other: EmbedConfig) -> EmbedConfig: """Merge two EmbedConfig's into one. Overlapping keys must have the same values. """ overlapping_patterns_keys = set(self.patterns.keys()) & set(other.patterns.keys()) for key in overlapping_patterns_keys: if self.patterns[key] != other.patterns[key]: raise AssertionError( "Unable to merge conflicting golang file embed configurations. This should not have occurred. " "Please open an issue at https://github.com/pantsbuild/pants/issues/new/choose " "with the following information: " f"Patterns Key: {key}; Left: {self.patterns[key]}; Right: {other.patterns[key]} " ) overlapping_files_keys = set(self.files.keys()) & set(other.files.keys()) for key in overlapping_files_keys: if self.files[key] != other.files[key]: raise AssertionError( "Unable to merge conflicting golang file embed configurations. This should not have occurred. " "Please open an issue at https://github.com/pantsbuild/pants/issues/new/choose " "with the following information: " f"Files Key: {key}; Left: {self.patterns[key]}; Right: {other.patterns[key]} " ) return EmbedConfig( patterns={**self.patterns, **other.patterns}, files={**self.files, **other.files}, )

[ "noreply@github.com" ]

pantsbuild.noreply@github.com

411e8160fa633fee9650fda54c0078f8af778b18

62e58c051128baef9452e7e0eb0b5a83367add26

/x12/5011/404005011.py

fca6c0597cac9c112b926b948f6c0cd9e7cdd1ee

[]

no_license

dougvanhorn/bots-grammars

2eb6c0a6b5231c14a6faf194b932aa614809076c

09db18d9d9bd9d92cefbf00f1c0de1c590fe3d0d

refs/heads/master

2021-05-16T12:55:58.022904

2019-05-17T15:22:23

105,274,633

0

null

2017-09-29T13:21:21

null

UTF-8

Python

false

3,993

py

from bots.botsconfig import * from records005011 import recorddefs syntax = { 'version' : '00403', #version of ISA to send 'functionalgroup' : 'SR', } structure = [ {ID: 'ST', MIN: 1, MAX: 1, LEVEL: [ {ID: 'ZC1', MIN: 0, MAX: 1}, {ID: 'BX', MIN: 0, MAX: 1}, {ID: 'BNX', MIN: 0, MAX: 1}, {ID: 'M3', MIN: 1, MAX: 1}, {ID: 'N9', MIN: 1, MAX: 30}, {ID: 'CM', MIN: 0, MAX: 2}, {ID: 'M1', MIN: 0, MAX: 1}, {ID: 'DTM', MIN: 0, MAX: 5}, {ID: 'N7', MIN: 1, MAX: 500, LEVEL: [ {ID: 'EM', MIN: 0, MAX: 1}, {ID: 'VC', MIN: 0, MAX: 36, LEVEL: [ {ID: 'N1', MIN: 0, MAX: 2, LEVEL: [ {ID: 'N3', MIN: 0, MAX: 2}, {ID: 'N4', MIN: 0, MAX: 1}, {ID: 'H3', MIN: 0, MAX: 1}, ]}, ]}, {ID: 'M7', MIN: 0, MAX: 5}, {ID: 'N5', MIN: 0, MAX: 1}, {ID: 'IC', MIN: 0, MAX: 1}, {ID: 'IM', MIN: 0, MAX: 1}, {ID: 'M12', MIN: 0, MAX: 2}, {ID: 'E1', MIN: 0, MAX: 2, LEVEL: [ {ID: 'E4', MIN: 0, MAX: 1}, {ID: 'E5', MIN: 0, MAX: 13}, {ID: 'PI', MIN: 0, MAX: 1}, ]}, {ID: 'GA', MIN: 0, MAX: 15}, {ID: 'REF', MIN: 0, MAX: 99, LEVEL: [ {ID: 'N10', MIN: 0, MAX: 15}, {ID: 'N1', MIN: 0, MAX: 5, LEVEL: [ {ID: 'N3', MIN: 0, MAX: 1}, {ID: 'N4', MIN: 0, MAX: 1}, ]}, ]}, ]}, {ID: 'NA', MIN: 0, MAX: 10}, {ID: 'F9', MIN: 1, MAX: 1}, {ID: 'D9', MIN: 1, MAX: 1}, {ID: 'N1', MIN: 1, MAX: 15, LEVEL: [ {ID: 'N2', MIN: 0, MAX: 2}, {ID: 'N3', MIN: 0, MAX: 2}, {ID: 'N4', MIN: 0, MAX: 1}, {ID: 'REF', MIN: 0, MAX: 2}, {ID: 'PER', MIN: 0, MAX: 2}, {ID: 'BL', MIN: 0, MAX: 12}, ]}, {ID: 'S1', MIN: 0, MAX: 12, LEVEL: [ {ID: 'S2', MIN: 0, MAX: 2}, {ID: 'S9', MIN: 0, MAX: 1}, {ID: 'N1', MIN: 0, MAX: 1}, {ID: 'N2', MIN: 0, MAX: 1}, {ID: 'N3', MIN: 0, MAX: 1}, {ID: 'N4', MIN: 0, MAX: 1}, {ID: 'PER', MIN: 0, MAX: 1}, ]}, {ID: 'R2', MIN: 1, MAX: 13}, {ID: 'R9', MIN: 0, MAX: 1}, {ID: 'E1', MIN: 0, MAX: 2, LEVEL: [ {ID: 'E4', MIN: 0, MAX: 1}, {ID: 'E5', MIN: 0, MAX: 13}, {ID: 'PI', MIN: 0, MAX: 1}, ]}, {ID: 'H3', MIN: 0, MAX: 20}, {ID: 'PS', MIN: 0, MAX: 5}, {ID: 'LX', MIN: 1, MAX: 25, LEVEL: [ {ID: 'L5', MIN: 1, MAX: 15}, {ID: 'L0', MIN: 0, MAX: 25, LEVEL: [ {ID: 'MEA', MIN: 0, MAX: 3}, {ID: 'L1', MIN: 0, MAX: 10}, {ID: 'PI', MIN: 0, MAX: 30}, ]}, {ID: 'X1', MIN: 0, MAX: 6}, ]}, {ID: 'T1', MIN: 0, MAX: 64, LEVEL: [ {ID: 'T2', MIN: 0, MAX: 30}, {ID: 'T3', MIN: 0, MAX: 12}, {ID: 'T6', MIN: 0, MAX: 1}, {ID: 'T8', MIN: 0, MAX: 99}, ]}, {ID: 'L3', MIN: 0, MAX: 1}, {ID: 'LS', MIN: 0, MAX: 1, LEVEL: [ {ID: 'LH1', MIN: 1, MAX: 1000, LEVEL: [ {ID: 'LH2', MIN: 0, MAX: 4}, {ID: 'LH3', MIN: 0, MAX: 10}, {ID: 'LFH', MIN: 0, MAX: 20}, {ID: 'LEP', MIN: 0, MAX: 3}, {ID: 'LH4', MIN: 0, MAX: 4}, {ID: 'LHT', MIN: 0, MAX: 3}, {ID: 'LHR', MIN: 0, MAX: 5}, {ID: 'PER', MIN: 0, MAX: 5}, {ID: 'N1', MIN: 0, MAX: 10, LEVEL: [ {ID: 'N3', MIN: 0, MAX: 2}, {ID: 'N4', MIN: 0, MAX: 1}, {ID: 'PER', MIN: 0, MAX: 2}, ]}, ]}, {ID: 'LE', MIN: 1, MAX: 1}, ]}, {ID: 'PER', MIN: 0, MAX: 5}, {ID: 'LH2', MIN: 0, MAX: 6}, {ID: 'LHR', MIN: 0, MAX: 1}, {ID: 'LH6', MIN: 0, MAX: 5}, {ID: 'XH', MIN: 0, MAX: 1}, {ID: 'X7', MIN: 0, MAX: 10}, {ID: 'SE', MIN: 1, MAX: 1}, ]} ]

[ "jason.capriotti@gmail.com" ]

jason.capriotti@gmail.com

992ad12a575aa28017fbf8115beb2a0579bad5bb

5dd47abf7061201d9378e73e51f08fbb314ba2fd

/envdsys/envcontacts/migrations/0065_auto_20210223_0054.py

007d402317fba9799fbecce80a479a8fe0db8323

[ "Unlicense" ]

permissive

NOAA-PMEL/envDataSystem

4d264ae5209015e4faee648f37608d68a4461d0a

4db4a3569d2329658799a3eef06ce36dd5c0597d

refs/heads/master

2023-02-23T22:33:14.334737

2021-07-22T01:09:16

191,809,007

1

0

Unlicense

2023-02-08T00:45:54

2019-06-13T17:50:03

Python

UTF-8

Python

false

1,175

py

# Generated by Django 3.1.7 on 2021-02-23 00:54 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('envcontacts', '0064_auto_20210223_0034'), ] operations = [ migrations.AlterField( model_name='person', name='email1_type', field=models.CharField(choices=[('W', 'Work'), ('H', 'Home'), ('O', 'Other')], default='W', max_length=1), ), migrations.AlterField( model_name='person', name='email2_type', field=models.CharField(choices=[('W', 'Work'), ('H', 'Home'), ('O', 'Other')], default='W', max_length=1), ), migrations.AlterField( model_name='person', name='phone1_type', field=models.CharField(choices=[('O', 'Other'), ('W', 'Work'), ('M', 'Mobile'), ('H', 'Home')], default='M', max_length=1), ), migrations.AlterField( model_name='person', name='phone2_type', field=models.CharField(choices=[('O', 'Other'), ('W', 'Work'), ('M', 'Mobile'), ('H', 'Home')], default='M', max_length=1), ), ]

[ "derek.coffman@noaa.gov" ]

derek.coffman@noaa.gov

69c8613e89b0b70ecdbf7d9a9cc3558b46d87771

7f7bf9a5827d1441f18f568fc75ed5bf0159ca6c

/Декоратор/2/2функцию-декораторv41.py

f7a19566515c70ee88069f9c42bb8055b942a228

[]

no_license

KorsakovPV/yandex_contest

08bcff4eaf38d46a8348ac3abbb5f496857fe8e4

f67917ef710f5b138142b11ec4e6e4678b23e408

refs/heads/master

2023-01-06T13:04:07.955570

2020-10-24T20:22:41

290,097,693

0

null

UTF-8

Python

false

815

py

def cache3(func): cache = {'res': func(), 'counter': 0} def save_three_times(): if cache['counter'] == 3: cache['counter'] = 0 cache['res'] = func() return cache['res'] cache['counter'] += 1 return cache['res'] return save_three_times @cache3 def heavy(): print('Сложные вычисления') return 1 print(heavy()) # Сложные вычисления # 1 print(heavy()) # 1 print(heavy()) # 1 # Опять кеш устарел, надо вычислять заново print(heavy()) # Сложные вычисления print(heavy()) print(heavy()) print(heavy()) print(heavy()) print(heavy()) print(heavy()) print(heavy()) print(heavy()) print(heavy()) print(heavy()) print(heavy()) print(heavy()) print(heavy())

[ "pavelkpv@gmail.com" ]

pavelkpv@gmail.com

f5d7ee6e684505ed22b422d7ed9221e0d6c707d5

0eefc9995ce927964969cbae247e28fd98f4998e

/src/hobbits-plugins/analyzers/KaitaiStruct/ksy_py/image/psx_tim.py

12103cca74f785a478567753e17eccc22387f220

[ "MIT" ]

permissive

SamuelWAnderson45/hobbits

993bde59d2fd96b1824e4f85ba1913eba12c8f3f

412f4ca50aa6aa2d26a1d05913f21f2ab0198eba

refs/heads/master

2022-12-14T09:36:46.663303

2020-08-30T17:05:53

291,514,129

0

null

2020-08-30T17:02:44

2020-08-30T17:02:43

null

UTF-8

Python

false

3,662

py

# This is a generated file! Please edit source .ksy file and use kaitai-struct-compiler to rebuild from pkg_resources import parse_version import kaitaistruct from kaitaistruct import KaitaiStruct, KaitaiStream, BytesIO from enum import Enum import collections if parse_version(kaitaistruct.__version__) < parse_version('0.9'): raise Exception("Incompatible Kaitai Struct Python API: 0.9 or later is required, but you have %s" % (kaitaistruct.__version__)) class PsxTim(KaitaiStruct): class BppType(Enum): bpp_4 = 0 bpp_8 = 1 bpp_16 = 2 bpp_24 = 3 SEQ_FIELDS = ["magic", "flags", "clut", "img"] def __init__(self, _io, _parent=None, _root=None): self._io = _io self._parent = _parent self._root = _root if _root else self self._debug = collections.defaultdict(dict) def _read(self): self._debug['magic']['start'] = self._io.pos() self.magic = self._io.read_bytes(4) self._debug['magic']['end'] = self._io.pos() if not self.magic == b"\x10\x00\x00\x00": raise kaitaistruct.ValidationNotEqualError(b"\x10\x00\x00\x00", self.magic, self._io, u"/seq/0") self._debug['flags']['start'] = self._io.pos() self.flags = self._io.read_u4le() self._debug['flags']['end'] = self._io.pos() if self.has_clut: self._debug['clut']['start'] = self._io.pos() self.clut = self._root.Bitmap(self._io, self, self._root) self.clut._read() self._debug['clut']['end'] = self._io.pos() self._debug['img']['start'] = self._io.pos() self.img = self._root.Bitmap(self._io, self, self._root) self.img._read() self._debug['img']['end'] = self._io.pos() class Bitmap(KaitaiStruct): SEQ_FIELDS = ["len", "origin_x", "origin_y", "width", "height", "body"] def __init__(self, _io, _parent=None, _root=None): self._io = _io self._parent = _parent self._root = _root if _root else self self._debug = collections.defaultdict(dict) def _read(self): self._debug['len']['start'] = self._io.pos() self.len = self._io.read_u4le() self._debug['len']['end'] = self._io.pos() self._debug['origin_x']['start'] = self._io.pos() self.origin_x = self._io.read_u2le() self._debug['origin_x']['end'] = self._io.pos() self._debug['origin_y']['start'] = self._io.pos() self.origin_y = self._io.read_u2le() self._debug['origin_y']['end'] = self._io.pos() self._debug['width']['start'] = self._io.pos() self.width = self._io.read_u2le() self._debug['width']['end'] = self._io.pos() self._debug['height']['start'] = self._io.pos() self.height = self._io.read_u2le() self._debug['height']['end'] = self._io.pos() self._debug['body']['start'] = self._io.pos() self.body = self._io.read_bytes((self.len - 12)) self._debug['body']['end'] = self._io.pos() @property def has_clut(self): if hasattr(self, '_m_has_clut'): return self._m_has_clut if hasattr(self, '_m_has_clut') else None self._m_has_clut = (self.flags & 8) != 0 return self._m_has_clut if hasattr(self, '_m_has_clut') else None @property def bpp(self): if hasattr(self, '_m_bpp'): return self._m_bpp if hasattr(self, '_m_bpp') else None self._m_bpp = (self.flags & 3) return self._m_bpp if hasattr(self, '_m_bpp') else None

[ "adam@mahletconsulting.com" ]

adam@mahletconsulting.com

dc5f16a21eaf87f548dcafd572e064bea67e1b04

928508a85d16987a1382b7adcd7142dee7ac986f

/Practice_Python/6.String_lists.py

0d9f652a42a79e534901e740e8c4129af9c11942

[]

no_license

TheoRobin76/Data_Engineering22

ed29798d0660d6ac73985f510ef7cea942ab77ad

26299a61a8b4372d9ed2664d4ad623c9d12d23d0

refs/heads/main

2023-06-17T05:43:40.347544

2021-07-14T13:23:23

378,177,215

1

0

null

UTF-8

Python

false

220

py

word = input("Please enter a word and I will tell you if it is a palindrome: ") if word == word[::-1]: print(f"Congratulations, {word} is a palindrome") else: print(f"My Condolences, {word} is not a palindrome")

[ "you@example.com" ]

you@example.com

e516493b77004a907bb16ef524f73968b6760fc5

8cf633e92a0671c8201268620a0372f250c8aeb2

/204.计数质数.py

dc347d29caae6593e34a2ccf06dfa29044656b36

[ "Unlicense" ]

permissive

SprintGhost/LeetCode

76da5c785009d474542e5f2cdac275675b8e60b8

cdf1a86c83f2daedf674a871c4161da7e8fad17c

refs/heads/develop

2021-06-06T04:04:28.883692

2021-01-01T14:09:26

230,635,046

0

Unlicense

2020-12-11T14:55:36

2019-12-28T16:34:39

Python

UTF-8

Python

false

607

py

# # @lc app=leetcode.cn id=204 lang=python3 # # [204] 计数质数 # # Accepted # 20/20 cases passed (124 ms) # Your runtime beats 85.76 % of python3 submissions # Your memory usage beats 28.36 % of python3 submissions (36.8 MB) # @lc code=start class Solution: def countPrimes(self, n: int) -> int: if n < 2: return 0 isPrime = [1] * n isPrime[0] = isPrime[1] = 0 for i in range(2, int(n ** 0.5) + 1): if isPrime[i]: isPrime[i * i:n:i] = [0] * ((n - 1 - i * i) // i + 1) return sum(isPrime) # @lc code=end

[ "864047435@qq.com" ]

864047435@qq.com

5b3d7a86142ca1e96291cb8b7355a821f2d2b495

3e7cce8dc203bcdbd35fccfaf974a9af0613d838

/profilemaker/views.py

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no_license

MdReyajuddin/blog

146ac2b0b6967261b943535c819b403817390cd5

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refs/heads/master

2022-12-15T15:44:30.969717

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from django.shortcuts import render from .forms import Profile_Form from .models import User_Profile # Create your views here. IMAGE_FILE_TYPES = ['png', 'jpg', 'jpeg'] def create_profile(request): form = Profile_Form() if request.method == 'POST': form = Profile_Form(request.POST, request.FILES) if form.is_valid(): user_pr = form.save(commit=False) user_pr.display_picture = request.FILES['display_picture'] file_type = user_pr.display_picture.url.split('.')[-1] file_type = file_type.lower() if file_type not in IMAGE_FILE_TYPES: return render(request, 'profilemaker/error.html') user_pr.save() return render(request, 'profilemaker/details.html', {'user_pr': user_pr}) context = {"form": form,} return render(request, 'profilemaker/create.html', context)

[ "md.reyajuddin45@gmail.com" ]

md.reyajuddin45@gmail.com

5aa57daf3cc68ef88f14f8f3ba7cba5f03636d50

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/solutions_python/Problem_8/34.py

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[]

no_license

dr-dos-ok/Code_Jam_Webscraper

c06fd59870842664cd79c41eb460a09553e1c80a

26a35bf114a3aa30fc4c677ef069d95f41665cc0

refs/heads/master

2020-04-06T08:17:40.938460

2018-10-14T10:12:47

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UTF-8

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"""The grouper class has been reciped from: http://code.activestate.com/recipes/387776/ """ class Grouper(object): """This class provides a lightweight way to group arbitrary objects together into disjoint sets when a full-blown graph data structure would be overkill. Objects can be joined using .join(), tested for connectedness using .joined(), and all disjoint sets can be retreived using .get(). The objects being joined must be hashable. For example: >>> g = grouper.Grouper() >>> g.join('a', 'b') >>> g.join('b', 'c') >>> g.join('d', 'e') >>> list(g.get()) [['a', 'b', 'c'], ['d', 'e']] >>> g.joined('a', 'b') True >>> g.joined('a', 'c') True >>> g.joined('a', 'd') False""" def __init__(self, init=[]): mapping = self._mapping = {} for x in init: mapping[x] = [x] def join(self, a, *args): """Join given arguments into the same set. Accepts one or more arguments.""" mapping = self._mapping set_a = mapping.setdefault(a, [a]) for arg in args: set_b = mapping.get(arg) if set_b is None: set_a.append(arg) mapping[arg] = set_a elif set_b is not set_a: if len(set_b) > len(set_a): set_a, set_b = set_b, set_a set_a.extend(set_b) for elem in set_b: mapping[elem] = set_a def joined(self, a, b): """Returns True if a and b are members of the same set.""" mapping = self._mapping try: return mapping[a] is mapping[b] except KeyError: return False def __iter__(self): """Returns an iterator returning each of the disjoint sets as a list.""" seen = set() for elem, group in self._mapping.iteritems(): if elem not in seen: yield group seen.update(group) fin = open('B-small.in', 'r'); fout = open('B-small.out', 'w'); primes = [2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997] def common(x, y, l): for p in primes: if p >= l and x % p == 0 and y % p == 0: return True return False T = int(fin.readline()); for i in range(T): args = fin.readline().split(' ') A = int(args[0]) B = int(args[1]) P = int(args[2]) g = Grouper(range(A,B+1)) for j in range(A,B+1): for h in range(j+1, B+1): if not g.joined(j, h) and common(j, h, P): g.join(j, h) fout.write('Case #' + str(i + 1) + ': ' + str(len(list(g))) + '\n')

[ "miliar1732@gmail.com" ]

miliar1732@gmail.com

5e034aa33708e97b5aedbcbf1bba6cf51df4c4f9

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/api/admin.py

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rwheeler-7864/simplenight-api

bc35560eca1e1c25092a1bcdc4af1633367413b8

602646911a0155df5b70991d1445c10cee18cd33

refs/heads/master

2023-03-12T03:10:51.516499

2021-02-25T20:40:44

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from django import forms from django.contrib import admin from django.forms import TextInput from api.models.models import ( Booking, OrganizationFeatures, PropertyInfo, Venue, VenueMedia, VenueContact, VenueDetail, PaymentMethod, # ProductMedia, ProductHotelsMedia, ProductsNightLifeMedia, ProductGroup, ProductsNightLife, ProductHotel, ProductsHotelRoomDetails, ProductsHotelRoomPricing, ) @admin.register(Booking) class BookingAdmin(admin.ModelAdmin): list_per_page = 100 @admin.register(OrganizationFeatures) class OrganizationFeatureInline(admin.ModelAdmin): class Form(forms.ModelForm): class Meta: model = OrganizationFeatures fields = "__all__" widgets = { "value": TextInput(attrs={"size": 60}), } form = Form list_display = ("organization_name", "name", "value") list_filter = ("organization__name",) widgets = { "value": TextInput(attrs={"size": 20}), } @admin.register(PropertyInfo) class PropertyInfoAdmin(admin.ModelAdmin): list_display = ("provider", "provider_code", "type", "language_code", "description") list_filter = ("provider_code", "language_code") admin.site.register(Venue) admin.site.register(VenueMedia) admin.site.register(VenueContact) admin.site.register(VenueDetail) admin.site.register(PaymentMethod) admin.site.register(ProductHotelsMedia) admin.site.register(ProductsNightLifeMedia) admin.site.register(ProductHotel) admin.site.register(ProductGroup) admin.site.register(ProductsNightLife) admin.site.register(ProductsHotelRoomDetails) admin.site.register(ProductsHotelRoomPricing)

[ "randmwheeler@gmail.com" ]

randmwheeler@gmail.com

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/codeforces/cf251-275/cf260/a2.py

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[]

no_license

roiti46/Contest

c0c35478cd80f675965d10b1a371e44084f9b6ee

c4b850d76796c5388d2e0d2234f90dc8acfaadfa

refs/heads/master

2021-01-17T13:23:30.551754

2017-12-10T13:06:42

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# -*- coding: utf-8 -*- import sys,copy,math,heapq,itertools as it,fractions,re,bisect,collections as coll n = int(raw_input()) for loop in xrange(n): a, b = map(int, raw_input().split()) if a < b: print "Happy Alex" break else: print "Poor Alex"

[ "roiti46@gmail.com" ]

roiti46@gmail.com

b548144cbea5bfa89e439e9720a806f5b4e08fe8

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/tools/test/connectivity/acts_tests/tests/google/nr/sa5g/Sa5gSmsTest.py

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[]

no_license

ZYHGOD-1/Aosp11

0400619993b559bf4380db2da0addfa9cccd698d

78a61ca023cbf1a0cecfef8b97df2b274ac3a988

refs/heads/main

2023-04-21T20:13:54.629813

2021-05-22T05:28:21

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#!/usr/bin/env python3.4 # # Copyright 2021 - Google # # 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. """ Test Script for 5G SA SMS scenarios """ import time from acts.test_decorators import test_tracker_info from acts_contrib.test_utils.tel.TelephonyBaseTest import TelephonyBaseTest from acts_contrib.test_utils.tel.tel_test_utils import ensure_phones_idle from acts_contrib.test_utils.tel.tel_5g_test_utils import disable_apm_mode_both_devices from acts_contrib.test_utils.tel.tel_5g_test_utils import provision_device_for_5g from acts_contrib.test_utils.tel.tel_5g_test_utils import provision_both_devices_for_volte from acts_contrib.test_utils.tel.tel_5g_test_utils import verify_5g_attach_for_both_devices from acts_contrib.test_utils.tel.tel_sms_utils import _sms_test_mo from acts_contrib.test_utils.tel.tel_sms_utils import _long_sms_test_mo class Sa5gSmsTest(TelephonyBaseTest): def setup_class(self): super().setup_class() def setup_test(self): TelephonyBaseTest.setup_test(self) def teardown_test(self): ensure_phones_idle(self.log, self.android_devices) """ Tests Begin """ @test_tracker_info(uuid="8949d1c7-1719-4960-b79c-041b467fb5ef") @TelephonyBaseTest.tel_test_wrap def test_5g_sa_sms_mo_mt(self): """Test SMS between two phones in 5g SA Provision devices in 5g SA Send and Verify SMS from PhoneA to PhoneB Verify both devices are still on 5g SA Returns: True if success. False if failed. """ ads = self.android_devices if not provision_device_for_5g(self.log, ads, sa_5g=True): return False if not _sms_test_mo(self.log, ads): return False if not verify_5g_attach_for_both_devices(self.log, ads, True): return False self.log.info("PASS - SMS test over 5G SA validated") return True @test_tracker_info(uuid="5c7a717b-1f98-44b7-95e7-0e83afb82a84") @TelephonyBaseTest.tel_test_wrap def test_5g_sa_sms_long_message_mo_mt(self): """Test SMS basic function between two phone. Phones in sa 5G network. Airplane mode is off. Send SMS from PhoneA to PhoneB. Verify received message on PhoneB is correct. Returns: True if success. False if failed. """ ads = self.android_devices if not disable_apm_mode_both_devices(self.log, ads): return False if not provision_device_for_5g(self.log, ads, sa_5g=True): return False return _long_sms_test_mo(self.log, ads) """ Tests End """

[ "rick_tan@qq.com" ]

rick_tan@qq.com

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/hyperion/__init__.py

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2023-08-30T20:57:38.751726

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from __future__ import print_function, division from .version import __version__ # Set up the test function _test_runner = None def _get_test_runner(): from .testing.helper import TestRunner return TestRunner(__path__[0]) def test(package=None, test_path=None, args=None, plugins=None, verbose=False, pastebin=None, generate_reference=False, bit_level_tests=False, coverage=False): ''' Run Hyperion tests using py.test. A proper set of arguments is constructed and passed to `pytest.main`. Parameters ---------- package : str, optional The name of a specific package to test, e.g. 'model' or 'densities'. If nothing is specified all default Hyperion tests are run. test_path : str, optional Specify location to test by path. May be a single file or directory. Must be specified absolutely or relative to the calling directory. args : str, optional Additional arguments to be passed to `pytest.main` in the `args` keyword argument. plugins : list, optional Plugins to be passed to `pytest.main` in the `plugins` keyword argument. verbose : bool, optional Convenience option to turn on verbose output from py.test. Passing True is the same as specifying `-v` in `args`. pastebin : {'failed','all',None}, optional Convenience option for turning on py.test pastebin output. Set to 'failed' to upload info for failed tests, or 'all' to upload info for all tests. generate_reference : str Generate reference results for bit-level tests bit_level_tests : bool Run bit-level tests. These are time-consuming tests that check the exact validity of the output, but they are disabled by default. coverage : bool, optional Generate a test coverage report. The result will be placed in the directory htmlcov. See Also -------- pytest.main : py.test function wrapped by `run_tests`. ''' test_runner = _get_test_runner() return test_runner.run_tests( package=package, test_path=test_path, args=args, plugins=plugins, verbose=verbose, pastebin=pastebin, generate_reference=generate_reference, bit_level_tests=bit_level_tests, coverage=coverage)

[ "thomas.robitaille@gmail.com" ]

thomas.robitaille@gmail.com

ba79ccbb978bcafbf81db83fd7e2fa58372de286

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/qpwcnet/app/quantize/test_infer_tflite.py

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[]

no_license

fenguoo/qpwcnet

c3139c04787ecd8abf88d7aa7c106fd8715d92ab

3fa803d4b55d46559eb96543ce0683fa4dd4d737

refs/heads/master

2023-03-08T20:37:50.137699

2021-02-25T18:40:24

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#!/usr/bin/env python3 import tensorflow as tf import numpy as np import faulthandler import cv2 from qpwcnet.core.util import disable_gpu from qpwcnet.data.augment import image_resize, image_augment from qpwcnet.data.tfrecord import get_reader from qpwcnet.core.vis import flow_to_image from qpwcnet.vis.show import show def main(): faulthandler.enable() # NOTE(ycho): Mysteriously, tflite segfaults if `channels_first`. tf.keras.backend.set_image_data_format('channels_last') # my_devices = tf.config.experimental.list_physical_devices(device_type='CPU') # tf.config.experimental.set_visible_devices(devices= my_devices, device_type='CPU') # disable_gpu() # Load the TFLite model and allocate tensors. interpreter = tf.lite.Interpreter(model_path="/tmp/qpwcnet.tflite") interpreter.allocate_tensors() # Get input and output tensors. input_details = interpreter.get_input_details() print(input_details) output_details = interpreter.get_output_details() print(output_details) # Test the model on random input data. input_shape = input_details[0]['shape'] input_data = np.array( np.random.random_sample(input_shape), dtype=np.float32) print(input_data.shape) # 1, 6, 256, 512 print('set_tensor') interpreter.set_tensor(input_details[0]['index'], input_data) print('invoke') interpreter.invoke() print('?') # The function `get_tensor()` returns a copy of the tensor data. # Use `tensor()` in order to get a pointer to the tensor. output_data = interpreter.get_tensor(output_details[-1]['index']) print(output_data.shape) def preprocess(ims, flo): # 0-255 -> 0.0-1.0 ims = tf.cast(ims, tf.float32) * tf.constant(1.0 / 255.0, dtype=tf.float32) # resize, no augmentation. ims, flo = image_resize(ims, flo, (256, 512)) # ims, flo = image_augment(ims, flo, (256, 512)) # 0.0-1.0 -> -0.5, 0.5 ims = ims - 0.5 # Convert to correct data format data_format = tf.keras.backend.image_data_format() if data_format == 'channels_first': ims = einops.rearrange(ims, '... h w c -> ... c h w') flo = einops.rearrange(flo, '... h w c -> ... c h w') return ims, flo if True: # TODO(ycho): Cleanup dataset loading pattern for opt-flow datasets. glob_pattern = '/media/ssd/datasets/sintel-processed/shards/sintel-*.tfrecord' filenames = tf.data.Dataset.list_files(glob_pattern).shuffle(32) # dataset = get_reader(filenames).shuffle(buffer_size=1024).repeat().batch(8) # dataset = get_reader(filenames).batch(8).repeat() dataset = get_reader(filenames).shuffle( buffer_size=32).map(preprocess).batch(1) for ims, flo in dataset: interpreter.set_tensor( input_details[0]['index'], ims) # ims.numpy()? interpreter.invoke() flo_pred = output_data = interpreter.get_tensor( output_details[-1]['index']) flo_pred_rgb = flow_to_image(flo_pred) show('flo_pred_rgb', flo_pred_rgb[0], True) cv2.waitKey(0) break if __name__ == '__main__': main()

[ "jchocholate@gmail.com" ]

jchocholate@gmail.com

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/ACME/utility/isskinny.py

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[ "MIT" ]

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mauriziokovacic/ACME

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2020-05-23T23:40:06.667416

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from .row import * from .col import * from .ismatrix import * def isskinny(*tensors): """ Returns whether or not the input tensor is a skinny matrix A fat matrix is a matrix where the number of columns is smaller than the rows Parameters ---------- *tensors : Tensor a sequence of tensors Returns ------- bool True if all the tensors are skinny, False otherwise """ return all([ismatrix(t) and (row(t) > col(t)) for t in tensors])

[ "maurizio.kovacic@gmail.com" ]

maurizio.kovacic@gmail.com

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2023-08-25T04:54:29.014303

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# coding=utf-8 # Copyright 2022 RigL Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """This module has networks used in experiments. """ from typing import Optional, Tuple # Non-expensive-to-import types. import gin import tensorflow.compat.v2 as tf @gin.configurable(allowlist=['hidden_sizes', 'use_batch_norm']) def lenet5(input_shape, num_classes, activation, kernel_regularizer, use_batch_norm = False, hidden_sizes = (6, 16, 120, 84)): """Lenet5 implementation.""" network = tf.keras.Sequential() kwargs = { 'activation': activation, 'kernel_regularizer': kernel_regularizer, } def maybe_add_batchnorm(): if use_batch_norm: network.add(tf.keras.layers.BatchNormalization()) network.add(tf.keras.layers.Conv2D( hidden_sizes[0], 5, input_shape=input_shape, **kwargs)) network.add(tf.keras.layers.MaxPool2D(pool_size=(2, 2))) maybe_add_batchnorm() network.add(tf.keras.layers.Conv2D(hidden_sizes[1], 5, **kwargs)) network.add(tf.keras.layers.MaxPool2D(pool_size=(2, 2))) maybe_add_batchnorm() network.add(tf.keras.layers.Flatten()) network.add(tf.keras.layers.Dense(hidden_sizes[2], **kwargs)) maybe_add_batchnorm() network.add(tf.keras.layers.Dense(hidden_sizes[3], **kwargs)) maybe_add_batchnorm() kwargs['activation'] = None network.add(tf.keras.layers.Dense(num_classes, **kwargs)) return network @gin.configurable(allowlist=['hidden_sizes', 'use_batch_norm']) def mlp(input_shape, num_classes, activation, kernel_regularizer, use_batch_norm = False, hidden_sizes = (300, 100)): """Lenet5 implementation.""" network = tf.keras.Sequential() kwargs = { 'activation': activation, 'kernel_regularizer': kernel_regularizer } def maybe_add_batchnorm(): if use_batch_norm: network.add(tf.keras.layers.BatchNormalization()) network.add(tf.keras.layers.Flatten(input_shape=input_shape)) network.add(tf.keras.layers.Dense(hidden_sizes[0], **kwargs)) maybe_add_batchnorm() network.add(tf.keras.layers.Dense(hidden_sizes[1], **kwargs)) maybe_add_batchnorm() kwargs['activation'] = None network.add(tf.keras.layers.Dense(num_classes, **kwargs)) return network

[ "evcu@google.com" ]

evcu@google.com

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[]

no_license

Davidlazarog/Shark-Project

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2022-12-06T20:03:15.679049

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def fatality(x): if x == "Y": return True elif x == "N": return False elif x == " N": return False elif x == "N ": return False elif x == "y": return True return 'Unknown' def Type(x): if x == "Unprovoked": return 'Unprovoked' elif x == "Provoked": return 'Provoked' elif x == "Sea Disaster": return 'Unprovoked' return 'Unknown' import re arms = ["(.*)?arms(.*)?", "(.*)?hand(.*)?" ] leg = ["(.*)leg(.*)?", "(.*)?foot(.*)?" ] fatal = ["(.*)?atal(.*)?", "(.*)?ody(.*)?" ] ribs = ["(.*)?ribs(.*)?"] noinjury = ["(.*)?o injur(.*)?"] def menu (x) : Arms = "ARMS" Leg = 'LEGS' Fatal = 'FATAL' Ribs = 'RIBS' Noinjury = 'NO INJURY' x = x.lower() if type(x) != str: return 'Unknown' else: for a in arms: if re.search (a,x): x = Arms return x for l in leg: if re.search (l,x): x = Leg return x for i in fatal: if re.search (i,x): x = Fatal return x for r in ribs: if re.search (r,x): x = Ribs return x for n in noinjury: if re.search (n,x): x = Noinjury return x return 'Unknown' pizza = ["(.*)?no injury(.*)?" ] human = ["(.*)?fatal(.*)?", "(.*)?legs(.*)?", "(.*)?arms(.*)?", "(.*)?ribs(.*)?"] def pizzavshuman (x): Pizza = 'PIZZA' Human = 'HUMAN' x = x.lower() for p in pizza: if re.search (p,x): x = Pizza return x for h in human: if re.search (h,x): x = Human return x return 'UNKNOWN'

[ "david@MacBook-Air-de-David.local" ]

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def v2_runner_on_unreachable(self, result): self._preprocess_result(result) msg = 'unreachable' display_color = C.COLOR_UNREACHABLE task_result = self._process_result_output(result, msg) self._display.display((' ' + task_result), display_color, stderr=self.display_failed_stderr)

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import sys def main(): a, b = map(int, input().split()) for c in range(1, 4): if (a * b * c) % 2 == 1: print('Yes') sys.exit(0) print('No') if __name__ == "__main__": main()

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# 5653. [모의 SW 역량테스트] 줄기세포배양 for tc in range(1, 1+int(input())): N, M, K = map(int, input().split()) # 행, 열, 시간 arr = [list(map(int, input().split())) for _ in range(N)] # 좌표를 dict 에 입력 cell = {} # 살아있는 세포 deadcell = set() # 죽은세포 for i in range(N): for j in range(M): if arr[i][j]: cell.update({(i, j): [arr[i][j], -arr[i][j]]}) # 행렬값, 활성화여부 def clone(): dy = [0, 0, -1, 1] dx = [1, -1, 0, 0] keys = set(cell.keys()) for k in keys: val = cell[k] # 활성화된 것이 아니라면 if 0 > val[1]: cell.update({k: [val[0], val[1] + 1]}) # 활성화된 세포라면 elif 0 <= val[1] < val[0]: cell.update({k: [val[0], val[1] + 1]}) for i in range(4): wy, wx = dy[i] + k[0], dx[i] + k[1] # 기존에 있는 셀이 금방 복사된 것이면서 생명력이 작다면 if (wy, wx) not in keys and cell.get((wy, wx)) and cell.get((wy, wx))[0] == -cell.get((wy, wx))[1] and cell.get((wy, wx))[0] < val[0]: cell.update({(wy, wx): [val[0], -val[0]]}) # 복사하려는 자리에 cell이 없다면 elif not cell.get((wy, wx)) and (wy, wx) not in deadcell: # deadcell.get((wy, wx)) cell.update({(wy, wx): [val[0], -val[0]]}) if val[0] == val[1] +1: cell.pop(k) deadcell.add(k) for _ in range(K): clone() count = len(cell) print('#{} {}'.format(tc, count))

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# -*- coding: utf-8 -*- # @Time : 2020/1/7 0007 14:40 # @Author : 没有蜡笔的小新 # @E-mail : sqw123az@sina.com # @FileName: decorator.py # @Software: PyCharm # @Blog ：https://blog.csdn.net/Asunqingwen # @GitHub ：https://github.com/Asunqingwen # @WebSite : labixiaoxin.me import time def log_calls(func): def wrapper(*args, **kwargs): now = time.time() print( "Calling {0} with {1} and {2}".format( func.__name__, args, kwargs ) ) return_value = func(*args, **kwargs) print( "Executed {0} in {1}ms".format(func.__name__, time.time() - now) ) return return_value return wrapper @log_calls def test1(a, b, c): print("\ttest1 called") @log_calls def test2(a, b): print("\ttest2 called") @log_calls def test3(a, b): print("\ttest3 called") time.sleep(1) # test1 = log_calls(test1) # test2 = log_calls(test2) # test3 = log_calls(test3) test1(1, 2, 3) test2(4, b=5) test3(6, 7)

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import numpy as np from eqsig import multiple def test_same_start(): time = np.linspace(0, 102, 10200) acc = np.sin(time) dt = 0.01 cluster = multiple.Cluster([acc, acc + 0.3], dt=dt) cluster.same_start() diff = np.sum(cluster.values_by_index(0) - cluster.values_by_index(1)) assert diff < 1.0e-10, diff def test_time_match(): time = np.linspace(0, 102, 1020) acc = np.sin(time) dt = 0.01 cluster = multiple.Cluster([acc[:-6], acc[6:]], dt=dt) cluster.time_match(verbose=0) diff = np.sum(cluster.values_by_index(0)[6:-5] - cluster.values_by_index(1)[6:-5]) assert diff == 0.0, diff if __name__ == '__main__': test_same_start() # test_time_match()

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class MENU (): def __init__(self,titulo,opciones=[]): self.titulo = titulo self.opciones = opciones def menu(self): print(self.titulo) for opcion in self.opciones: print(opcion) opc=input("Elije opcion [1 ..... {}]:".format(len(self.opciones))) return opc opc=" " while opc!="5": menu1=MENU("Menú Principal" , ["1)Calculadora","2)Numeros","3)Listas","4)Cadenas","5)Salir"]) opc=menu1.menu() if opc=="1": opc1=" " while opc !="" menu1=MENU("Menú Calculadora",["1)Suma","2)Resta","3)Multiplicacion" , "4) División" , "5) Salir" ]) opc1=menu1.menu() if opc1 == "1" : print("Opcion Suma") n1=int(input("Ingresar n1: ")) n2=int(input("Ingresar n2: ")) suma=n1+n2 print("{} + {} = {}".format( n1 , n2 , suma )) elif opc1 == "2" : print ( "Opcion Resta" ) n1 = int ( input ( "Ingresar n1:" )) n2 = int ( input ( "Ingresar n2:" )) resta = n1 - n2 print ( "{} - {} = {}".format( n1 , n2 , resta )) elif opc1 == "3" : print ( "Opcion Multiplicacion" ) n1 = int ( input ( "Ingresar n1:" )) n2 = int ( input ( "Ingresar n2:" )) multiplicacion = n1 * n2 print ( "{} * {} = {}".format( n1 , n2 , multiplicacion )) elif opc1 == "4" : print ( "Opcion Division" ) n1 = int ( input ( "Ingresar n1:" )) n2 = int ( input ( "Ingresar n2:" )) division = n1 / n2 print ( "{} / {} = {}".format( n1 , n2 , division )) elif opc1 == "5" : print ( "Opcion Salir" ) elif opc == "2" : menu2 = MENU ( "Menú Numero" , [ "1) Perfecto" , "2) Primo" , "3) Salir" ]) opc2 = input ( "Elije opcion [1 ..... 3]:" ) elif opc == "3" : print ( "Listas de menú" ) elif opc == "4" : print ( "Menú Cadenas" ) elif opc == "5" : print ( "Menú Salir" ) else: print ( "Opcion no valida" )

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# -*- coding: utf-8 -*- from urllib import unquote from managerlib.db.db_account import account2id,insert_account,account_exists from managerlib.db.table.stobj import delete_stobj # atdelete -> db_cloudfs_account_delete # atput -> db_cloudfs_account_put # atexists -> db_cloudfs_account_exists # athead -> db_cloudfs_account_head # atmeta -> db_cloudfs_account_meta # atget -> db_cloudfs_account_get # atpost -> db_cloudfs_account_post def db_cloudfs_account_delete(newPath,conn): aid = account2id(conn,newPath) return delete_stobj(conn,aid) def db_cloudfs_account_put(newPath,conn): return insert_account(conn,newPath) def db_cloudfs_account_exists(newPath,conn): return account_exists(conn,newPath) ###################################### def db_cloudfs_account_head(path): return True,'' def db_cloudfs_account_meta(path): return True,'' def db_cloudfs_account_get(path): return True,'' def db_cloudfs_account_post(path): return True,''

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sun__shines@163.com

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# Copyright 2023 Google LLC # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # 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 argparse from datetime import datetime import logging import json import random from apache_beam import DoFn, GroupByKey, io, ParDo, Pipeline, \ PTransform, WindowInto, WithKeys, Map from apache_beam.io import fileio from apache_beam.options.pipeline_options import PipelineOptions from apache_beam.transforms.window import FixedWindows import xml.etree.ElementTree as ET class GroupMessagesByFixedWindows(PTransform): """A composite transform that groups Pub/Sub messages based on publish time and outputs a list of tuples, each containing a message and its publish time. """ def __init__(self, window_size, num_shards=5): # Set window size to 60 seconds * window_size. self.window_size = int(window_size * 60) self.num_shards = num_shards def expand(self, pcoll): return ( pcoll # Bind window info to each element using element timestamp (or \ # publish time). | "Window into fixed intervals" >> WindowInto(FixedWindows(self.window_size)) | "Add timestamp to windowed elements" >> ParDo(AddTimestamp()) # Assign a random key to each windowed element based on the \ # number of shards. | "Add key" >> WithKeys( lambda _: random.randint(0, self.num_shards - 1) ) # Group windowed elements by key. All the elements in the same \ # window must fit memory for this. If not, you need to use \ # `beam.util.BatchElements`. | "Group by key" >> GroupByKey() | "Drop shard key after grouping" >> Map(lambda element: element[1]) ) class AddTimestamp(DoFn): def process(self, element, publish_time=DoFn.TimestampParam): """Processes each parsed element by extracting the message body and its received time into a tuple. """ yield ( { "ts": datetime.utcfromtimestamp(float(publish_time)). strftime("%Y-%m-%d %H:%M:%S.%f") } | element ) class ParseXML(DoFn): def process(self, message_body): """Parse all tags and attributes from an XML and serialize them to a dict for later storage.""" try: parsedXml = ET.fromstring(message_body) allTags = [] allTagsText = [] for element in parsedXml: allTags.append(element.tag) allTagsText.append(element.text) yield {"tags": allTags, "text": allTagsText} except Exception as e: yield {"error": str(e), "raw_contents": message_body} def run(project_id, input_topic, gcs_path, window_size, num_shards, runner, region, pipeline_args=None): # Set `save_main_session` to True so DoFns can access globally imported # modules. input_topic = "projects/{0}/topics/{1}".format(project_id, input_topic) if gcs_path[-1] == "/": gcs_path = gcs_path[:-1] output_path = "{0}/output/".format(gcs_path) provided_args = { "project": project_id, "runner": runner, "region": region, "staging_location": "{0}/staging/".format(gcs_path), "temp_location": "{0}/temp/".format(gcs_path), "streaming": True, "save_main_session": True } pipeline_options = PipelineOptions( pipeline_args, **provided_args ) with Pipeline(options=pipeline_options) as pipeline: ( pipeline # Because `timestamp_attribute` is unspecified in `ReadFromPubSub`, # Beam binds the publish time returned by the Pub/Sub server for # each message to the element's timestamp parameter, accessible via # `DoFn.TimestampParam`. # https://beam.apache.org/releases/pydoc/current/apache_beam.io.gcp.pubsub.html#apache_beam.io.gcp.pubsub.ReadFromPubSub # https://cloud.google.com/pubsub/docs/stream-messages-dataflow#set_up_your_pubsub_project | "Read from Pub/Sub" >> io.ReadFromPubSub(topic=input_topic) | "Parse XML tags and attributes" >> ParDo(ParseXML()) | "Window into" >> GroupMessagesByFixedWindows(window_size, num_shards) | "Serialize" >> Map(json.dumps, indent = 2) | "Write to GCS" >> fileio.WriteToFiles(path=output_path, shards=0) ) if __name__ == "__main__": logging.getLogger().setLevel(logging.INFO) parser = argparse.ArgumentParser() parser.add_argument( "--project_id", help="The GCP project that hosts the PubSub and Dataflow.", ) parser.add_argument( "--input_topic_id", help="The Cloud Pub/Sub topic to read from.", ) parser.add_argument( "--runner", help="""The beam runner to be used. For cloud Dataflow: 'DataflowRunner'. For local debugging: 'DirectRunner'. [Defaults to: 'DataflowRunner']""", default='DataflowRunner', ) parser.add_argument( "--region", help="The GCP region for Dataflow. [Defaults to: 'us-central1']", default='us-central1', ) parser.add_argument( "--window_size", type=float, default=1.0, help="Output file's window size in minutes. [Defaults to: 1.0]", ) parser.add_argument( "--gcs_path", help="Path of the output GCS file including the prefix.", ) parser.add_argument( "--num_shards", type=int, default=5, help="""Number of shards to use when writing windowed elements to GCS. [Defaults to: 5]""", ) known_args, pipeline_args = parser.parse_known_args() run( known_args.project_id, known_args.input_topic_id, known_args.gcs_path, known_args.window_size, known_args.num_shards, known_args.runner, known_args.region, pipeline_args, )

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import sys from random import choice from Api.Songs import ApiAdapter from Chrome_Driver_Folder.driver_path import get_driver_path from Songs.last_fm_parser import FOLDER_PATH, update_songs_distribution from Tinder.tinder_Api import TinderMessageBot, TinderAdapter from Utils.decorators import log_exception from Youtube.Youtube_bot_requests import get_youtube_url from selenium import webdriver @log_exception() def main(login, password, names): update_songs_distribution() tinder_bot = TinderMessageBot() chrome_driver_path = get_driver_path() + '\\chromedriver.exe' driver = webdriver.Chrome(chrome_driver_path) with open(FOLDER_PATH, 'r') as f: songs_list = f.read() songs_list = songs_list.split("\n") song_title = choice(songs_list) adapter = TinderAdapter(tiderBot=tinder_bot, name='tomasz.dworowy', receivers=names, driver=driver) song = ApiAdapter(adapter) song.my_logging.log().info("Get random song") song.login(login, password) url = get_youtube_url(song_title.strip()) song.sent_messages([url]) if __name__ == '__main__': user = sys.argv[1] passw = sys.argv[2] + " " + sys.argv[3] nams = sys.argv[4] # namesList = ['Ilona','Carol'] names = [nams] main(user, passw, names)

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""" HyperOne HyperOne API # noqa: E501 The version of the OpenAPI document: 0.1.0 Generated by: https://openapi-generator.tech """ import re # noqa: F401 import sys # noqa: F401 from h1.model_utils import ( # noqa: F401 ApiTypeError, ModelComposed, ModelNormal, ModelSimple, cached_property, change_keys_js_to_python, convert_js_args_to_python_args, date, datetime, file_type, none_type, validate_get_composed_info, ) def lazy_import(): from h1.model.tag_array import TagArray from h1.model.website_env import WebsiteEnv globals()['TagArray'] = TagArray globals()['WebsiteEnv'] = WebsiteEnv class WebsiteProjectInstanceCreate(ModelNormal): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. Attributes: allowed_values (dict): The key is the tuple path to the attribute and the for var_name this is (var_name,). The value is a dict with a capitalized key describing the allowed value and an allowed value. These dicts store the allowed enum values. attribute_map (dict): The key is attribute name and the value is json key in definition. discriminator_value_class_map (dict): A dict to go from the discriminator variable value to the discriminator class name. validations (dict): The key is the tuple path to the attribute and the for var_name this is (var_name,). The value is a dict that stores validations for max_length, min_length, max_items, min_items, exclusive_maximum, inclusive_maximum, exclusive_minimum, inclusive_minimum, and regex. additional_properties_type (tuple): A tuple of classes accepted as additional properties values. """ allowed_values = { } validations = { } additional_properties_type = None _nullable = False @cached_property def openapi_types(): """ This must be a method because a model may have properties that are of type self, this must run after the class is loaded Returns openapi_types (dict): The key is attribute name and the value is attribute type. """ lazy_import() return { 'name': (str,), # noqa: E501 'service': (str,), # noqa: E501 'image': (str,), # noqa: E501 'source': (str,), # noqa: E501 'env': ([WebsiteEnv],), # noqa: E501 'tag': (TagArray,), # noqa: E501 } @cached_property def discriminator(): return None attribute_map = { 'name': 'name', # noqa: E501 'service': 'service', # noqa: E501 'image': 'image', # noqa: E501 'source': 'source', # noqa: E501 'env': 'env', # noqa: E501 'tag': 'tag', # noqa: E501 } _composed_schemas = {} required_properties = set([ '_data_store', '_check_type', '_spec_property_naming', '_path_to_item', '_configuration', '_visited_composed_classes', ]) @convert_js_args_to_python_args def __init__(self, name, service, image, *args, **kwargs): # noqa: E501 """WebsiteProjectInstanceCreate - a model defined in OpenAPI Args: name (str): service (str): image (str): Keyword Args: _check_type (bool): if True, values for parameters in openapi_types will be type checked and a TypeError will be raised if the wrong type is input. Defaults to True _path_to_item (tuple/list): This is a list of keys or values to drill down to the model in received_data when deserializing a response _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _configuration (Configuration): the instance to use when deserializing a file_type parameter. If passed, type conversion is attempted If omitted no type conversion is done. _visited_composed_classes (tuple): This stores a tuple of classes that we have traveled through so that if we see that class again we will not use its discriminator again. When traveling through a discriminator, the composed schema that is is traveled through is added to this set. For example if Animal has a discriminator petType and we pass in "Dog", and the class Dog allOf includes Animal, we move through Animal once using the discriminator, and pick Dog. Then in Dog, we will make an instance of the Animal class but this time we won't travel through its discriminator because we passed in _visited_composed_classes = (Animal,) source (str): [optional] # noqa: E501 env ([WebsiteEnv]): [optional] # noqa: E501 tag (TagArray): [optional] # noqa: E501 """ _check_type = kwargs.pop('_check_type', True) _spec_property_naming = kwargs.pop('_spec_property_naming', False) _path_to_item = kwargs.pop('_path_to_item', ()) _configuration = kwargs.pop('_configuration', None) _visited_composed_classes = kwargs.pop('_visited_composed_classes', ()) if args: raise ApiTypeError( "Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." % ( args, self.__class__.__name__, ), path_to_item=_path_to_item, valid_classes=(self.__class__,), ) self._data_store = {} self._check_type = _check_type self._spec_property_naming = _spec_property_naming self._path_to_item = _path_to_item self._configuration = _configuration self._visited_composed_classes = _visited_composed_classes + (self.__class__,) self.name = name self.service = service self.image = image for var_name, var_value in kwargs.items(): if var_name not in self.attribute_map and \ self._configuration is not None and \ self._configuration.discard_unknown_keys and \ self.additional_properties_type is None: # discard variable. continue setattr(self, var_name, var_value)

[ "action@github.com" ]

action@github.com

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/eval/e5/scrape_so.py

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[]

no_license

andrewhead/StackSkim

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refs/heads/master

2020-06-03T16:15:15.127268

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#! /usr/bin/env python # encoding: utf-8 from __future__ import unicode_literals import logging import subprocess import requests import json logging.basicConfig(level=logging.INFO, format="%(message)s") SCRAPE_DIR = "scrape" QUESTIONS_OUTFILE = 'questions.json' ANSWERS_OUTFILE = 'answers.json' ANSWERS = [ {'question': 3190798, 'answer': 3219849}, {'question': 14104228, 'answer': 14104369}, {'question': 364015, 'answer': 364074}, {'question': 12872387, 'answer': 12872443}, {'question': 8115087, 'answer': 8115155}, {'question': 25221352, 'answer': 25222518}, {'question': 12591832, 'answer': 12591905}, {'question': 27391812, 'answer': 27414401}, {'question': 4683639, 'answer': 4684210}, {'question': 5362732, 'answer': 5362764}, {'question': 27045539, 'answer': 27523599}, {'question': 19618268, 'answer': 19618531}, {'question': 19087332, 'answer': 19087631}, {'question': 26759118, 'answer': 26759193}, {'question': 5931223, 'answer': 5931253}, {'question': 4362491, 'answer': 4362514}, {'question': 2187821, 'answer': 2187834}, {'question': 9505971, 'answer': 9506077}, {'question': 23740288, 'answer': 23740522}, {'question': 9003288, 'answer': 9003638}, ] QUESTIONS = [ 4980414, 18851438, 22705019, 2592798, 21219150, 14917510, 2130446, 6233805, 27436551, 17828552, 3929301, 27889586, 9893851, 23877406, 1283646, 23438583, 12332532, 17383236, 25356695, 15234524, ] def fetch_questions(question_ids): question_param = ';'.join([str(q) for q in question_ids]) answer_url = 'https://api.stackexchange.com/2.2/questions/' + question_param more_questions = True page_number = 1 all_questions = {'items': []} while more_questions: questions = requests.get(answer_url, params={ 'site': 'stackoverflow', 'page': page_number, 'pagesize': '100', 'filter': '!9YdnSJ*_S', }).json() more_questions = questions['has_more'] page_number += 1 all_questions['items'].extend(questions['items']) return all_questions def fetch_answers(answer_ids): answer_param = ';'.join([str(a) for a in answer_ids]) answer_url = 'https://api.stackexchange.com/2.2/answers/' + answer_param more_answers = True page_number = 1 all_answers = {'items': []} while more_answers: answers = requests.get(answer_url, params={ 'site': 'stackoverflow', 'page': page_number, 'pagesize': '100', 'filter': '!9YdnSM68i', }).json() more_answers = answers['has_more'] page_number += 1 all_answers['items'].extend(answers['items']) return all_answers def wget_address(address): subprocess.call([ "wget", "-P", SCRAPE_DIR, # output to a scrape directory "--adjust-extension", # download HTML pages with .html extension "-nc", # don't download the same file twice "-w", "1", # wait 1s between requests "-p", "-k", # for downloading stylesheets (doesn't work?) address, ]) def main(): ''' Get ground truth answers from StackExchange API. ''' questions = fetch_questions(QUESTIONS) answers = fetch_answers([a['answer'] for a in ANSWERS]) with open(QUESTIONS_OUTFILE, 'w') as qof: json.dump(questions, qof, indent=2) with open(ANSWERS_OUTFILE, 'w') as aof: json.dump(answers, aof, indent=2) ''' StackOverflow content gets fetched to folder "stackoverflow.com" ''' for q in QUESTIONS: wget_address("http://www.stackoverflow.com/questions/%d" % q) for a in ANSWERS: wget_address("www.stackoverflow.com/a/%d/%d" % (a['question'], a['answer'])) if __name__ == '__main__': main()

[ "head.andrewm@gmail.com" ]

head.andrewm@gmail.com

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/investmtype/migrations/0002_auto_20180912_1801.py

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[]

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niravhjoshi/DjangoE2ISAapi

d90df84d1788e2f6a0335f707438afc543b02d56

ff74799bdb122dbc3067b3f131663c0d932355c4

refs/heads/master

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# -*- coding: utf-8 -*- # Generated by Django 1.11.7 on 2018-09-12 12:31 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('investmtype', '0001_initial'), ] operations = [ migrations.RenameField( model_name='investtypes', old_name='U_id', new_name='UserName', ), ]

[ "nirav.j05@gmail.com" ]

nirav.j05@gmail.com

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/sdk/cognitiveservices/azure-cognitiveservices-search-websearch/azure/cognitiveservices/search/websearch/models/ranking_ranking_group_py3.py

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permissive

montgomp/azure-sdk-for-python

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refs/heads/master

2020-12-06T11:08:01.683369

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MIT

2020-01-08T00:45:33

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# 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 RankingRankingGroup(Model): """Defines a search results group, such as mainline. All required parameters must be populated in order to send to Azure. :param items: Required. A list of search result items to display in the group. :type items: list[~azure.cognitiveservices.search.websearch.models.RankingRankingItem] """ _validation = { 'items': {'required': True}, } _attribute_map = { 'items': {'key': 'items', 'type': '[RankingRankingItem]'}, } def __init__(self, *, items, **kwargs) -> None: super(RankingRankingGroup, self).__init__(**kwargs) self.items = items

[ "noreply@github.com" ]

montgomp.noreply@github.com

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/.history/tester2_20200321213612.py

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mirfarzam/ArtificialIntelligence-HeuristicAlgorithm-TabuSearch

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90b2dca920c85cddd7c1b3335344ac7b10a9b061

refs/heads/master

2021-03-26T21:16:42.561068

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py

import os import subprocess import re from datetime import datetime import time numberOfTests = 10 tabuIteration = '5' tabuDuration = '0' numberOfCities = '10' final_solution = [] print(f"\n\nTest for Tabu Search with this config: \n\tIterations : {tabuIteration} \n\tDuration(Tabu Memory): {tabuDuration} \n\tNumber of Cities: {numberOfCities}") for i in range(0, numberOfTests): process = subprocess.Popen(['./algo_tabou.exe', tabuIteration, tabuDuration, numberOfCities, 'distances_entre_villes_{}.txt'.format(numberOfCities)],stdout=subprocess.PIPE,stderr=subprocess.PIPE) stdout, stderr = process.communicate() result = stdout result = re.sub(r'\s', ' ', str(result)) solution = (re.findall(r'([0-9]{4}) km', result))[-1] final_solution.append(int(solution)) coverage = re.findall(r'On est dans un minimum local a l\'iteration ([0-9]+) ->', result) if coverage != []: coverage = int(coverage[0])+ 1 else: coverage = 5 number_of_solution_before_coverage = coverage print('best found solution is {} and found in interation {}, number of solutions before coverage : {}'.format(solution, coverage, number_of_solution_before_coverage)) time.sleep( 1 ) print("Summery:") optimum_result = list(filter(lambda x: x == '3473', final_solution)) print(f'number of ')

[ "farzam.mirmoeini@gmail.com" ]

farzam.mirmoeini@gmail.com

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/rango/server/.history/tango_with_django/tango_with_django/settings_20210102125402.py

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[]

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deji100/Projects

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""" Django settings for tango_with_django project. Generated by 'django-admin startproject' using Django 3.1.3. For more information on this file, see https://docs.djangoproject.com/en/3.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.1/ref/settings/ """ import os from pathlib import Path # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/3.1/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = '2l8=-3%*fjd#4)kl488nssgt%zu1$#l%)q=j3*#=ztcd9)hqq#' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'tango_with_django.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'tango_with_django.wsgi.application' # Database # https://docs.djangoproject.com/en/3.1/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': BASE_DIR / 'db.sqlite3', } } AUTH_USER_MODEL = 'rango.U' # Password validation # https://docs.djangoproject.com/en/3.1/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/3.1/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/3.1/howto/static-files/ STATIC_URL = '/static/' STATICFILE_DIRS = [ os.path.join(BASE_DIR, 'rango/static') ] MEDIA_URL = '/images/' MEDIR_ROOT = os.path.join(BASE_DIR, 'rango/static/images')

[ "68882568+deji100@users.noreply.github.com" ]

68882568+deji100@users.noreply.github.com

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/userblog/apps.py

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[]

no_license

divyajonna/My_First_Task

6149d0da008e549e9f0d8ad52a90fe36e15775e3

c8c5007a2eb9112cecd5b1e6df1ea449be4c02d9

refs/heads/master

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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.apps import AppConfig class UserblogConfig(AppConfig): name = 'userblog'

[ "you@example.com" ]

you@example.com

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/lib/phonenumbers/data/region_KG.py

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no_license

JamesBrace/InfluenceUWebLaunch

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refs/heads/master

2021-09-04T04:08:47.594900

2018-01-15T16:49:29

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"""Auto-generated file, do not edit by hand. KG metadata""" from ..phonemetadata import NumberFormat, PhoneNumberDesc, PhoneMetadata PHONE_METADATA_KG = PhoneMetadata(id='KG', country_code=996, international_prefix='00', general_desc=PhoneNumberDesc(national_number_pattern='[235-8]\\d{8,9}', possible_number_pattern='\\d{5,10}', possible_length=(9, 10), possible_length_local_only=(5, 6)), fixed_line=PhoneNumberDesc(national_number_pattern='(?:3(?:1(?:[256]\\d|3[1-9]|47)|2(?:22|3[0-479]|6[0-7])|4(?:22|5[6-9]|6\\d)|5(?:22|3[4-7]|59|6\\d)|6(?:22|5[35-7]|6\\d)|7(?:22|3[468]|4[1-9]|59|[67]\\d)|9(?:22|4[1-8]|6\\d))|6(?:09|12|2[2-4])\\d)\\d{5}', example_number='312123456', possible_length=(9,), possible_length_local_only=(5, 6)), mobile=PhoneNumberDesc(national_number_pattern='(?:20[0-35]|5[124-7]\\d|7[07]\\d)\\d{6}', possible_number_pattern='\\d{9}', example_number='700123456', possible_length=(9,)), toll_free=PhoneNumberDesc(national_number_pattern='800\\d{6,7}', possible_number_pattern='\\d{9,10}', example_number='800123456', possible_length=(9, 10)), premium_rate=PhoneNumberDesc(), shared_cost=PhoneNumberDesc(), personal_number=PhoneNumberDesc(), voip=PhoneNumberDesc(), pager=PhoneNumberDesc(), uan=PhoneNumberDesc(), voicemail=PhoneNumberDesc(), no_international_dialling=PhoneNumberDesc(), national_prefix='0', national_prefix_for_parsing='0', number_format=[NumberFormat(pattern='(\\d{3})(\\d{3})(\\d{3})', format='\\1 \\2 \\3', leading_digits_pattern=['[25-7]|31[25]'], national_prefix_formatting_rule='0\\1'), NumberFormat(pattern='(\\d{4})(\\d{5})', format='\\1 \\2', leading_digits_pattern=['3(?:1[36]|[2-9])'], national_prefix_formatting_rule='0\\1'), NumberFormat(pattern='(\\d{3})(\\d{3})(\\d)(\\d{3})', format='\\1 \\2 \\3 \\4', leading_digits_pattern=['8'], national_prefix_formatting_rule='0\\1')])

[ "james.brace@mail.mcgill.ca" ]

james.brace@mail.mcgill.ca

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/instant_generator/migrations/0006_auto_20200514_1040.py

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[]

no_license

AzeezBello/toolx

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refs/heads/master

2022-03-07T10:12:32.915043

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# Generated by Django 2.2.9 on 2020-05-14 09:40 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('instant_generator', '0005_auto_20200425_0018'), ] operations = [ migrations.AlterField( model_name='instantgenerator', name='Identify_the_Problem_Your_Audience_Have', field=models.TextField(), ), ]

[ "azeez@scholarx.co" ]

azeez@scholarx.co

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/util/IpUtil.py

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[]

no_license

sunshineywz123/baymax

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refs/heads/master

2021-12-30T06:37:13.224221

2018-02-07T08:25:03

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null

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# -*- coding: utf-8 -*- __author__ = 'likangwei' import socket def get_ip_address(): return socket.gethostbyname(socket.gethostname())#得到本地ip def get_host_name(): return socket.gethostname() print get_ip_address()

[ "262708239@qq.com" ]

262708239@qq.com

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/fac/migrations/0088_folder_custom_form_data.py

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[]

no_license

alexandrenorman/mixeur

c7e25cd20b03c78b361cb40e3e359a6dc5d9b06b

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refs/heads/main

2023-03-13T23:50:11.800627

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# Generated by Django 2.2.17 on 2020-11-24 10:54 import django.contrib.postgres.fields.jsonb from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('fac', '0087_project_custom_form_data'), ] operations = [ migrations.AddField( model_name='folder', name='custom_form_data', field=django.contrib.postgres.fields.jsonb.JSONField(blank=True, null=True), ), ]

[ "norman@xael.org" ]

norman@xael.org

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/opsweb4/common/urls.py

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no_license

cucy/zrdops4

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refs/heads/master

2021-01-19T14:39:54.315360

2017-09-24T04:01:27

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from django.conf.urls import url from django.contrib import admin from django.contrib.auth.mixins import LoginRequiredMixin from django.views.generic import TemplateView from common.views import success_view, error_view, IndexView urlpatterns = [ # 通用视图 # 主页 url(r'^$', IndexView.as_view(), name='index'), url(r'^success/$', success_view, name='success'), url(r'^error/$', error_view, name='error'), ]

[ "292016176@qq.com" ]

292016176@qq.com

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/nusa/version.py

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[ "MIT" ]

permissive

OrganizationUsername/nusa

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refs/heads/master

2022-12-20T11:51:14.221422

2020-10-07T19:10:25

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""" NuSA (Numerical Structural Analysis in Python) Author: Pedro Jorge De Los Santos E-mail: delossantosmfq@gmail.com License: MIT License """ __version__ = "0.3.dev0"

[ "delossantosmfq@gmail.com" ]

delossantosmfq@gmail.com

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/sap/cli/datadefinition.py

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"""ADT proxy for Data Definition (CDS)""" import sap.adt import sap.adt.wb import sap.cli.core import sap.cli.object class CommandGroup(sap.cli.core.CommandGroup): """Adapter converting command line parameters to sap.adt.DataDefinition methods calls. """ def __init__(self): super(CommandGroup, self).__init__('ddl') @CommandGroup.argument('name') @CommandGroup.command() def read(connection, args): """Prints it out based on command line configuration. """ ddl = sap.adt.DataDefinition(connection, args.name) print(ddl.text) @CommandGroup.argument('name', nargs='+') @CommandGroup.command() def activate(connection, args): """Actives the given class. """ activator = sap.cli.wb.ObjectActivationWorker() activated_items = ((name, sap.adt.DataDefinition(connection, name)) for name in args.name) sap.cli.object.activate_object_list(activator, activated_items, count=len(args.name))

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jakub@thefilaks.net

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/model.py

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2020-08-23T04:02:27

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# -*- coding: utf-8 -*- ######################################################### # python import os import traceback import json # third-party # sjva 공용 from framework.logger import get_logger from framework import db, app, path_app_root # 패키지 from .plugin import package_name, logger db_file = os.path.join(path_app_root, 'data', 'db', '%s.db' % package_name) app.config['SQLALCHEMY_BINDS'][package_name] = 'sqlite:///%s' % (db_file) class ModelSetting(db.Model): __tablename__ = 'plugin_%s_setting' % package_name __table_args__ = {'mysql_collate': 'utf8_general_ci'} __bind_key__ = package_name id = db.Column(db.Integer, primary_key=True) key = db.Column(db.String(100), unique=True, nullable=False) value = db.Column(db.String, nullable=False) def __init__(self, key, value): self.key = key self.value = value def __repr__(self): return repr(self.as_dict()) def as_dict(self): return {x.name: getattr(self, x.name) for x in self.__table__.columns} #########################################################

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cybersol@naver.com

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/ec2-api-8.0.0/ec2api/tests/unit/test_customer_gateway.py

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# Copyright 2014 # The Cloudscaling Group, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import mock from ec2api.tests.unit import base from ec2api.tests.unit import fakes from ec2api.tests.unit import matchers from ec2api.tests.unit import tools class CustomerGatewayTestCase(base.ApiTestCase): def test_create_customer_gateway(self): self.db_api.add_item.side_effect = ( tools.get_db_api_add_item(fakes.ID_EC2_CUSTOMER_GATEWAY_2)) resp = self.execute('CreateCustomerGateway', {'IpAddress': fakes.IP_CUSTOMER_GATEWAY_ADDRESS_2, 'Type': 'ipsec.1'}) self.assertEqual({'customerGateway': fakes.EC2_CUSTOMER_GATEWAY_2}, resp) self.db_api.add_item.assert_called_once_with( mock.ANY, 'cgw', {'ip_address': fakes.IP_CUSTOMER_GATEWAY_ADDRESS_2}) resp = self.execute('CreateCustomerGateway', {'IpAddress': fakes.IP_CUSTOMER_GATEWAY_ADDRESS_2, 'Type': 'ipsec.1', 'BgpAsn': '65000'}) self.assertEqual({'customerGateway': fakes.EC2_CUSTOMER_GATEWAY_2}, resp) def test_create_customer_gateway_idempotent(self): self.set_mock_db_items(fakes.DB_CUSTOMER_GATEWAY_1) resp = self.execute('CreateCustomerGateway', {'IpAddress': fakes.IP_CUSTOMER_GATEWAY_ADDRESS_1, 'Type': 'ipsec.1'}) self.assertEqual({'customerGateway': fakes.EC2_CUSTOMER_GATEWAY_1}, resp) self.assertFalse(self.db_api.add_item.called) resp = self.execute('CreateCustomerGateway', {'IpAddress': fakes.IP_CUSTOMER_GATEWAY_ADDRESS_1, 'Type': 'ipsec.1', 'BgpAsn': '65000'}) self.assertEqual({'customerGateway': fakes.EC2_CUSTOMER_GATEWAY_1}, resp) self.assertFalse(self.db_api.add_item.called) def test_create_customer_gateway_invalid_parameters(self): self.assert_execution_error( 'Unsupported', 'CreateCustomerGateway', {'IpAddress': fakes.IP_CUSTOMER_GATEWAY_ADDRESS_1, 'Type': 'ipsec.1', 'BgpAsn': '456'}) def test_delete_customer_gateway(self): self.set_mock_db_items(fakes.DB_CUSTOMER_GATEWAY_2) resp = self.execute( 'DeleteCustomerGateway', {'CustomerGatewayId': fakes.ID_EC2_CUSTOMER_GATEWAY_2}) self.assertEqual({'return': True}, resp) self.db_api.delete_item.assert_called_once_with( mock.ANY, fakes.ID_EC2_CUSTOMER_GATEWAY_2) def test_delete_customer_gateway_invalid_parameters(self): self.set_mock_db_items() self.assert_execution_error( 'InvalidCustomerGatewayID.NotFound', 'DeleteCustomerGateway', {'CustomerGatewayId': fakes.ID_EC2_CUSTOMER_GATEWAY_2}) self.assertFalse(self.db_api.delete_item.called) self.set_mock_db_items(fakes.DB_CUSTOMER_GATEWAY_1, fakes.DB_VPN_CONNECTION_1) self.assert_execution_error( 'IncorrectState', 'DeleteCustomerGateway', {'CustomerGatewayId': fakes.ID_EC2_CUSTOMER_GATEWAY_1}) self.assertFalse(self.db_api.delete_item.called) def test_describe_customer_gateways(self): self.set_mock_db_items(fakes.DB_CUSTOMER_GATEWAY_1, fakes.DB_CUSTOMER_GATEWAY_2) resp = self.execute('DescribeCustomerGateways', {}) self.assertThat(resp['customerGatewaySet'], matchers.ListMatches([fakes.EC2_CUSTOMER_GATEWAY_1, fakes.EC2_CUSTOMER_GATEWAY_2])) resp = self.execute( 'DescribeCustomerGateways', {'CustomerGatewayId.1': fakes.ID_EC2_CUSTOMER_GATEWAY_2}) self.assertThat( resp['customerGatewaySet'], matchers.ListMatches([fakes.EC2_CUSTOMER_GATEWAY_2])) self.db_api.get_items_by_ids.assert_called_once_with( mock.ANY, set([fakes.ID_EC2_CUSTOMER_GATEWAY_2])) self.check_filtering( 'DescribeCustomerGateways', 'customerGatewaySet', [('bgp-asn', 65000), ('customer-gateway-id', fakes.ID_EC2_CUSTOMER_GATEWAY_2), ('ip-address', fakes.IP_CUSTOMER_GATEWAY_ADDRESS_2), ('state', 'available'), ('type', 'ipsec.1')]) self.check_tag_support( 'DescribeCustomerGateways', 'customerGatewaySet', fakes.ID_EC2_CUSTOMER_GATEWAY_2, 'customerGatewayId')

[ "Wayne Gong@minbgong-winvm.cisco.com" ]

Wayne Gong@minbgong-winvm.cisco.com

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/dataset/cifar_dataset.py

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[]

no_license

dannieldwt/deep_learning_algorithm

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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Jun 11 17:54:50 2019 @author: ubuntu """ import pickle import numpy as np from dataset.base_dataset import BasePytorchDataset class Cifar10Dataset(BasePytorchDataset): """原版数据集地址http://www.cs.toronto.edu/~kriz/cifar.html cifar10: 10个类别，每个类别6000张 cifar100: 100个类别，每个类别600张单张图片为RGB 32x32的小图，总计60,000张，其中50,000张训练集，10,000张测试集该数据集没有索引，所以只能一次性加载到内存输入：data_type(数据集类型)，包括train训练集和test测试集输出：n,h,w,c (bgr格式), 所有图片源数据都统一用这种格式(包括voc/coco) """ def __init__(self, root_path='/home/ubuntu/MyDatasets/cifar-10-batches-py/', data_type='train', img_transform=None, label_transform=None, bbox_transform=None, **kwargs): super().__init__() self.img_transform = img_transform self.label_transform = label_transform self.bbox_transform = bbox_transform train_path = [root_path + 'data_batch_1', root_path + 'data_batch_2', root_path + 'data_batch_3', root_path + 'data_batch_4', root_path + 'data_batch_5'] test_path = [root_path + 'test_batch'] if data_type == 'train': self.path = train_path elif data_type == 'test': self.path = test_path else: raise ValueError('wrong data type, only support train/test.') self.meta_path = root_path + 'batches.meta' dataset = self.get_dataset() self.imgs = dataset['data'] self.labels = dataset['target'] self.bboxes = dataset.get('bbox', None) self.CLASSES = dataset['target_names'] def get_dataset(self): datas = [] labels = [] # 获取标签 with open(self.meta_path, 'rb') as f: # 参考cifar源网站的python代码 dict = pickle.load(f, encoding='bytes') label_names = [label.decode('utf-8') for label in dict[b'label_names']] # decode用于去掉前缀的b # 获取数据 for path in self.path: with open(path, 'rb') as f: dict = pickle.load(f, encoding='bytes') data = dict[b'data'] # (10000, 3072) label = np.array(dict[b'labels']) # (10000,) datas.append(data) labels.append(label) cat_datas = np.concatenate(datas, axis=0) # (n, 3072)->(50000,3072) cat_labels = np.concatenate(labels) # (n,)->(50000,) # 分别提取R/G/B组成(C,H,W): 原始顺序参考官网说明 cat_datas = cat_datas.reshape(-1, 3, 32, 32).transpose(0,2,3,1)[...,[2,1,0]] # (b,c,h,w)->(b,h,w,c), rgb->bgr # 按sklearn格式返回数据 dataset = {} dataset['data'] = cat_datas dataset['target'] = cat_labels dataset['target_names'] = label_names return dataset def __getitem__(self, idx): """常规数据集传出的是多个变量，这里改为传出dict，再在定制collate中处理堆叠注意：要求传出的为OrderedDict，这样在自定义collate_fn中不会出错。 """ data_dict = {} img = self.imgs[idx] label = self.labels[idx] if self.label_transform is not None: label = self.label_transform(label) if self.img_transform is not None: img, ori_shape, scale_shape, pad_shape, scale_factor, flip = self.img_transform(img) # transform输出img(img, ori_shape, scale_factor), label img_meta = dict(ori_shape = ori_shape, scale_shape = scale_shape, pad_shape = pad_shape, scale_factor = scale_factor, flip = flip) data_dict = dict(img = img, img_meta = img_meta, gt_labels = label, stack_list = ['img']) return data_dict def __len__(self): return len(self.imgs) class Cifar100Dataset(Cifar10Dataset): """原版数据集地址http://www.cs.toronto.edu/~kriz/cifar.html cifar10: 10个类别，每个类别6000张 cifar100: 100个类别，每个类别600张单张图片为RGB 32x32的小图，总计60,000张，其中50,000张训练集，10,000张测试集 """ def __init__(self, root_path='../dataset/source/cifar100/', data_type='train', norm=None, label_transform_dict=None, one_hot=None, binary=None, shuffle=None): train_path = [root_path + 'train'] test_path = [root_path + 'test'] if data_type == 'train': self.path = train_path elif data_type == 'test': self.path = test_path else: raise ValueError('wrong data type, only support train/test.') self.meta_path = [root_path + 'meta'] dataset = self.get_dataset() self.imgs = dataset['data'] self.labels = dataset['target'] self.CLASSES = dataset['target_names']

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ximitiejiang@163.com

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/benchmark/startQiskit2433.py

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# qubit number=4 # total number=39 import cirq import qiskit from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister from qiskit import BasicAer, execute, transpile from pprint import pprint from qiskit.test.mock import FakeVigo from math import log2 import numpy as np import networkx as nx def bitwise_xor(s: str, t: str) -> str: length = len(s) res = [] for i in range(length): res.append(str(int(s[i]) ^ int(t[i]))) return ''.join(res[::-1]) def bitwise_dot(s: str, t: str) -> str: length = len(s) res = 0 for i in range(length): res += int(s[i]) * int(t[i]) return str(res % 2) def build_oracle(n: int, f) -> QuantumCircuit: # implement the oracle O_f # NOTE: use multi_control_toffoli_gate ('noancilla' mode) # https://qiskit.org/documentation/_modules/qiskit/aqua/circuits/gates/multi_control_toffoli_gate.html # https://quantumcomputing.stackexchange.com/questions/3943/how-do-you-implement-the-toffoli-gate-using-only-single-qubit-and-cnot-gates # https://quantumcomputing.stackexchange.com/questions/2177/how-can-i-implement-an-n-bit-toffoli-gate controls = QuantumRegister(n, "ofc") target = QuantumRegister(1, "oft") oracle = QuantumCircuit(controls, target, name="Of") for i in range(2 ** n): rep = np.binary_repr(i, n) if f(rep) == "1": for j in range(n): if rep[j] == "0": oracle.x(controls[j]) oracle.mct(controls, target[0], None, mode='noancilla') for j in range(n): if rep[j] == "0": oracle.x(controls[j]) # oracle.barrier() return oracle def make_circuit(n:int,f) -> QuantumCircuit: # circuit begin input_qubit = QuantumRegister(n,"qc") classical = ClassicalRegister(n, "qm") prog = QuantumCircuit(input_qubit, classical) prog.h(input_qubit[3]) # number=16 prog.cz(input_qubit[0],input_qubit[3]) # number=17 prog.rx(-0.5686282702997527,input_qubit[3]) # number=32 prog.h(input_qubit[3]) # number=18 prog.h(input_qubit[3]) # number=26 prog.cz(input_qubit[0],input_qubit[3]) # number=27 prog.h(input_qubit[3]) # number=28 prog.x(input_qubit[3]) # number=21 prog.rx(0.4241150082346221,input_qubit[2]) # number=33 prog.cx(input_qubit[0],input_qubit[3]) # number=22 prog.cx(input_qubit[0],input_qubit[3]) # number=12 prog.h(input_qubit[1]) # number=2 prog.h(input_qubit[2]) # number=3 prog.h(input_qubit[3]) # number=4 prog.h(input_qubit[0]) # number=5 oracle = build_oracle(n-1, f) prog.append(oracle.to_gate(),[input_qubit[i] for i in range(n-1)]+[input_qubit[n-1]]) prog.h(input_qubit[1]) # number=6 prog.h(input_qubit[2]) # number=23 prog.cz(input_qubit[1],input_qubit[2]) # number=24 prog.h(input_qubit[2]) # number=25 prog.h(input_qubit[2]) # number=7 prog.h(input_qubit[3]) # number=8 prog.h(input_qubit[0]) # number=34 prog.cz(input_qubit[2],input_qubit[0]) # number=35 prog.h(input_qubit[0]) # number=36 prog.z(input_qubit[2]) # number=30 prog.cx(input_qubit[2],input_qubit[0]) # number=31 prog.h(input_qubit[0]) # number=9 prog.y(input_qubit[0]) # number=14 prog.y(input_qubit[0]) # number=15 prog.swap(input_qubit[2],input_qubit[0]) # number=37 prog.swap(input_qubit[2],input_qubit[0]) # number=38 # circuit end for i in range(n): prog.measure(input_qubit[i], classical[i]) return prog if __name__ == '__main__': a = "111" b = "0" f = lambda rep: bitwise_xor(bitwise_dot(a, rep), b) prog = make_circuit(4,f) backend = BasicAer.get_backend('qasm_simulator') sample_shot =8000 info = execute(prog, backend=backend, shots=sample_shot).result().get_counts() backend = FakeVigo() circuit1 = transpile(prog,backend,optimization_level=2) writefile = open("../data/startQiskit2433.csv","w") print(info,file=writefile) print("results end", file=writefile) print(circuit1.__len__(),file=writefile) print(circuit1,file=writefile) writefile.close()

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# coding=utf-8 ''' 方案：数据库记录网址信息，本地多进程拉取, 第三课参考：https://github.com/hezhen/spider-course-4/multi-process ## Install pip install ConfigParser ~/.pyenv/versions/3.6.5/lib/python3.6$ cp configparser.py ConfigParser.py pip install mysql-connector ## Question 1. 下载过程中，发生的编码问题等 2. 遇到下载失败，该如何处理？需要重试避免信息遗漏 3. 如何试探一个网站允许的，单ip最大并发数、拉取频率；有怎样的试探策略 ''' import hashlib import os import threading from dbmanager import DBConnector from lxml import etree import time import urllib3 ''' ## 程序说明 1. 多进程多线程同时开始拉取，数据库层面自动确保了冲突解决 2. 不支持完全的断点续传如果处于downloading状态，那么重启后不会再次执行 3. 已经拉取过的网站，数据库会自动记录下来，就不需要专门的bloomfilter了 4. 程序默认启动时，清理了所有数据，需要注释后才能多进程同时使用 ## 真正逻辑（对每个线程一致） 1. 获取任务url，包括处于downlading状态、但是已经超时的；或者处于new状态的 2. 设置任务状态为downloading，并记录一个超时时间 3. 开始任务下载，并解析子网址，将子网址加入到数据库中 4. 该任务全部完成后，设置任务状态为done ''' dest_url = "http://www.mafengwo.cn" #dest_url = "http://www.sohu.com" class Crawling: request_headers = { 'host': dest_url[7:], 'connection': "keep-alive", 'cache-control': "no-cache", 'upgrade-insecure-requests': "1", 'user-agent': "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.95 Safari/537.36", 'accept': "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8", 'accept-language': "zh-CN,en-US;q=0.8,en;q=0.6" } max_level = 3 dir_name = "download" if not os.path.exists(dir_name): os.mkdir(dir_name) def file_path(url): return "{0}/{1}{2}".format(crawler.dir_name, url[7:].replace('/', '_'), "" if url.endswith(".html") else ".html") ''' 下载当前页面并解析，将获得的url放入到crawler中 ''' def get_page(url, index, depth): try: path = file_path(url) print("try to download [{0}] - {1}".format(depth, url)) http = urllib3.PoolManager() response = http.request("GET", url, headers = crawler.request_headers) page = response.data if page != b"": file = open(path, "wb+") file.write(page) file.close() else: print("-- zero length for [{}]".format(url)) return except urllib3.exceptions as err: print("download {}, urllib3 err: {}".format(url, err)) return except IOError as err: print("download {}, IOError err: {}".format(url, err)) return except Exception as err: print("download {}, excpetion err: {}".format(url, err)) return ''' 这里限制depth ''' if depth > crawler.max_level: print("url [{}], exceed depth {}".format(url, depth)) else: parse_page(url, index, depth, page) dbmanager.fininsh(index) return def parse_page(url, index, depth, page): try: ''' page 是 byte类型 ''' html = etree.HTML(page.lower().decode('utf-8')) hrefs = html.xpath(u"//a") except Exception as err: print("length: {}, parse {}, err: {}".format(len(page), url, err)) time.sleep(0.5) return for href in hrefs: try: if 'href' in href.attrib: val = href.attrib['href'] if val.find('javascript') != -1: continue if val.startswith("http://") is False: if val.startswith('/'): val = dest_url + val else: continue if val.startswith(dest_url) is False: continue if val[-1] == '/': val = val[0:-1] dbmanager.enqueue(val, depth + 1) except ValueError as err: print("parse {}, err: {}".format(url, err)) return total_thread = 3 threads = [] start_time = time.time() crawler = Crawling() dbmanager = DBConnector(total_thread) dbmanager.enqueue(dest_url, 0) task = dbmanager.dequeue() get_page(task['url'], task['index'], task['depth']) CRAWL_DELAY = 0.6 while True: task = dbmanager.dequeue() if task is None: for t in threads: t.join() break while True: for t in threads: if not t.is_alive(): threads.remove(t) if len(threads) >= total_thread: time.sleep(0.6) continue try: t = threading.Thread(target=get_page, name=None, args=(task['url'], task['index'], task['depth'])) t.setDaemon(True) t.start() threads.append(t) time.sleep(CRAWL_DELAY) break except: print("fail to start thread") exit(0)

[ "liudong@daowoo.com" ]

liudong@daowoo.com

47c7f38df6616f44f27f20887988c3be622a9975

0a21d5e72b4afbabcbf4ec0d65ea84cd8d6159c7

/Contest/weekly-contest-179/A.py

ebd41441c424c583e8fdc4369c9093db724bcbc3

[]

no_license

LuoJiaji/LeetCode-Demo

193f27ba36c93f9030435874a145c63a81d3c0f8

78e6e87c01848a1dc71b7dc0716029ece5f35863

refs/heads/master

2020-06-24T03:03:33.366537

2020-04-05T02:09:41

198,830,590

0

null

UTF-8

Python

false

308

py

class Solution(object): def generateTheString(self, n): """ :type n: int :rtype: str """ ans = '' if n % 2 == 1: ans = 'a'*n else: ans = 'a'*(n-1) + 'b' return ans res = Solution().generateTheString(4) print(res)

[ "lt920@126.com" ]

lt920@126.com

61a48c806bd338b16b2b38e7ad2975e6901b5b30

a7c0cc71e6da4615eca2c3d75117dad5b8dce8d3

/export.py

177102ba06cd51436420f1940dfd4e0c28205977

[ "Apache-2.0" ]

permissive

CTFd/CTFd

4b75207aeea3ed8d761cc6269c27a070693ab3ec

d8f0b9e602fca109cabe1895e847d39a46ce7429

refs/heads/master

2023-09-01T19:19:19.767862

2023-08-29T18:46:53

28,681,142

4,593

2,273

Apache-2.0

2023-09-13T18:24:37

2015-01-01T05:36:55

Python

UTF-8

Python

false

770

py

from CTFd import create_app from CTFd.utils import config from CTFd.utils.exports import export_ctf import datetime import sys import shutil app = create_app() with app.app_context(): print( "This file will be deleted in CTFd v4.0. Switch to using `python manage.py export_ctf`" ) backup = export_ctf() if len(sys.argv) > 1: with open(sys.argv[1], "wb") as target: shutil.copyfileobj(backup, target) else: ctf_name = config.ctf_name() day = datetime.datetime.now().strftime("%Y-%m-%d_%T") full_name = "{}.{}.zip".format(ctf_name, day) with open(full_name, "wb") as target: shutil.copyfileobj(backup, target) print("Exported {filename}".format(filename=full_name))

[ "noreply@github.com" ]

CTFd.noreply@github.com

41d081c5e295fcddccd0310aa469c46bfcbe51c5

a5a81bc468d2b9d6a87c49701441cf6dacdaf039

/tester/grabAndPlotLimits.py

61aedf06e2b49f6165e7a313ba5233e52cf45152

[]

no_license

truggles/CombineHarvester

396833e57afe2a203c9c4ee5117b87c3397eb795

8721ef6752006999c014a86bb13e81402cda0662

refs/heads/master

2020-04-05T08:19:11.877201

2016-02-01T14:39:17

50,054,454

1

null

2016-01-20T19:26:20

null

UTF-8

Python

false

3,210

py

import ROOT import array from ROOT import gPad masses1 = [80, 90, 100, 110, 120, 130, 140, 160, 180, 600, 900, 1000, 1200, 1500, 2900, 3200] ROOT.gROOT.SetBatch(True) def plotLimits( signal, channel ) : #if channel == 'em' or channel == 'tt' or channel == 'mt' : masses = masses1 masses = masses1 #limits = [[0 for x in range(5)] for x in range( len(masses) )] limits = [[0 for x in range( len(masses) )] for x in range(5)] #limits = [array.array( 'd', []) for x in range(5)] #print limits mCnt = 0 for mass in masses : if channel != 'll' : f = ROOT.TFile('%s/%s/%i/higgsCombineTest.Asymptotic.mH%i.root' % (signal, channel, mass, mass), 'r') else : f = ROOT.TFile('%s/higgsCombineLL.Asymptotic.mH%i.root' % (signal, mass), 'r') t = f.Get('limit') print "Channel: ",channel," Mass: ",mass i = 0 for row in t : if row.quantileExpected == -1 : continue #print "Sig: ",row.quantileExpected," limit: ",row.limit limits[i][mCnt] = row.limit #limits[i].append( row.limit ) i += 1 mCnt += 1 n = len(masses) neg2 = ROOT.TGraph( len(masses)) neg1 = ROOT.TGraph( len(masses)) med = ROOT.TGraph( len(masses)) pos1 = ROOT.TGraph( len(masses)) pos2 = ROOT.TGraph( len(masses)) midShade = ROOT.TGraph( len(masses)*2) outShade = ROOT.TGraph( len(masses)*2) for i in range( len(masses) ) : neg2.SetPoint( i, masses[i], limits[0][i] ) neg1.SetPoint( i, masses[i], limits[1][i] ) med.SetPoint( i, masses[i], limits[2][i] ) pos1.SetPoint( i, masses[i], limits[3][i] ) pos2.SetPoint( i, masses[i], limits[4][i] ) midShade.SetPoint( i, masses[i],limits[3][i] ) midShade.SetPoint( n+i, masses[n-i-1],limits[1][n-i-1] ) outShade.SetPoint( i, masses[i],limits[4][i] ) outShade.SetPoint( n+i, masses[n-i-1],limits[0][n-i-1] ) outShade.SetFillStyle(1001) outShade.SetFillColor(5) midShade.SetFillStyle(1001) midShade.SetFillColor(3) c2 = ROOT.TCanvas( 'c2', 'c2', 600, 600 ) p1 = ROOT.TPad( 'p1', 'p1', 0, 0, 1, 1) p1.Draw() p1.cd() med.SetLineStyle(2) outShade.GetXaxis().SetTitle('Visible Mass (GeV)') outShade.GetXaxis().SetTitleOffset( outShade.GetXaxis().GetTitleOffset() * 1.3 ) outShade.GetYaxis().SetTitle('95% CL limit on #sigma(gg#phi) x BR(#phi#rightarrow #tau#tau) [pb]') outShade.GetYaxis().SetTitleOffset( outShade.GetYaxis().GetTitleOffset() * 1.3 ) outShade.SetTitle('Expected Limits A/H #rightarrow #tau#tau: Channel %s' % channel) outShade.Draw('Af') midShade.Draw('f') med.Draw('l') p1.SetLogy() p1.SetLogx() c2.SaveAs('/afs/cern.ch/user/t/truggles/www/limits/Limits_%s_%s.png' % (signal, channel) ) print "PNG files saved here: /afs/cern.ch/user/t/truggles/www/limits/" print "They are visible online at: http://truggles.web.cern.ch/truggles/limits/" channels = ['em', 'tt', 'mt', 'll'] signals = ['ggH', 'bbH'] for signal in signals : for channel in channels : plotLimits( signal, channel )

[ "truggles@wisc.edu" ]

truggles@wisc.edu

14b7aae7767aad49409ab0944c50817bd8fbdaee

70ab3ee89cafa7f4882a6944e6ec335210875d30

/run_single_basketball_leyou.py

6ccf32d3874091547ad3bd0b9bab6d23628562ba

[]

no_license

SXL5519/caipiao1.0_1

3fa1fecd00576c36f37e6af21f0fe9b326289a6a

2db4387c5bad536cce99417041fbd34a699aa2cc

refs/heads/master

2021-10-10T07:39:45.127902

2019-01-08T09:32:47

2019-01-08T09:32:59

164,613,453

0

null

UTF-8

Python

false

806

py

import unittest,time from HTMLTestRunner_jpg import HTMLTestRunner from modle.function import send_mail,screen_shot,logfile case_dir = "./test_case/Leyou" pattern="*_single_basketball_*.py" discover = unittest.defaultTestLoader.discover(case_dir,pattern) logfile() if __name__ =='__main__': #日期格式化 times = time.strftime("%Y%m%d%H%M%S") report_file="./report/leyou/LeyouCP_single_basketball_case_"+times+".html" fp = open(report_file,"wb") runner = HTMLTestRunner(stream=fp, title="乐优竞蓝单关——自动化测试报告1", description="运行环境：win7 Chrome") try: runner.run(discover) except: print('运行列表错误') finally: fp.close() send_mail(report_file)

[ "shaoxinlin5519@163.com" ]

shaoxinlin5519@163.com

52e5f02be0348d286eaa45d1457e68ff9698b3b6

d83118503614bb83ad8edb72dda7f449a1226f8b

/src/dprj/platinumegg/app/cabaret/views/mgr/kpi/battleeventjoindaily.py

579ff996a58470e10b0a683fa40021637adbad39

[]

no_license

hitandaway100/caba

686fe4390e182e158cd9714c90024a082deb8c69

492bf477ac00c380f2b2758c86b46aa7e58bbad9

refs/heads/master

2021-08-23T05:59:28.910129

2017-12-03T19:03:15

112,512,044

0

null

UTF-8

Python

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1,692

py

# -*- coding: utf-8 -*- from platinumegg.app.cabaret.views.mgr.kpi.base import KpiHandler from platinumegg.app.cabaret.util.api import BackendApi import settings from platinumegg.app.cabaret.models.battleevent.BattleEvent import BattleEventMaster from platinumegg.app.cabaret.views.mgr.model_edit import AppModelChoiceField import os from django import forms class Handler(KpiHandler): """バトルイベント参加率. """ class Form(forms.Form): eventid = AppModelChoiceField(BattleEventMaster, required=False, label=u'イベントID') def getTitle(self): return u'バトルイベント日別参加数' def getKpiName(self): eventid = self.request.get("eventid") if not eventid or not str(eventid).isdigit(): config = BackendApi.get_current_battleeventconfig(self.getModelMgr(), using=settings.DB_READONLY) eventid = config.mid self.__eventid = eventid return 'battleeventjoindaily_%03d' % int(eventid) def getOptionalForm(self): form = Handler.Form() form.eventid = self.__eventid return form def makeFileDataTable(self, dirpath, filelist): tabledata = [] for filedata in filelist: filepath = os.path.join(dirpath, filedata['filename']) f = None data = None try: f = open(filepath) data = f.read() f.close() except: if f: f.close() raise tabledata.append(data.split(',')) return tabledata def main(request): return Handler.run(request)

[ "shangye@mail.com" ]

shangye@mail.com

7aac97bd18585740470971643e94c41583982cc6

b096dbccb31d3bd181259e930816964c71034ff4

/tests/test_base/test_signature.py

44e7721141d1ad15178fb3820f4cc6706d18aad4

[]

no_license

cosphere-org/lily

b68f95720381a69ce0caa5f47fca461b3f5242a9

f6a8281e10eedcccb86fcf3a26aaf282d91f70f4

refs/heads/master

2023-02-18T13:49:03.568989

2022-06-30T09:58:23

175,789,374

6

0

null

2023-02-15T18:49:10

2019-03-15T09:28:05

Python

UTF-8

Python

false

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py

from datetime import datetime import string from unittest.mock import call from itsdangerous import SignatureExpired, URLSafeTimedSerializer import pytest from lily.base import signature from lily.base.events import EventFactory # # sign_payload # def test_sign_payload__calls_dumps_correctly(mocker): dumps_mock = mocker.patch.object(URLSafeTimedSerializer, 'dumps') signature.sign_payload( email='test@whats.com', payload='WHATEVER', secret='personal_secret', salt='salt_me') assert dumps_mock.call_args_list == [ call(['test@whats.com', 'WHATEVER'], salt='salt_me')] def test_sign_payload__returns_correct_code(mocker): mocker.patch.object( URLSafeTimedSerializer, 'dumps').return_value = 'g67g6f7g' encoded_payload = signature.sign_payload( email='test@whats.com', payload='WAT', secret='personal_secret', salt='salt_me') assert encoded_payload == 'g67g6f7g' # # verify_payload # def test_verify_payload__make_the_right_calls(mocker): loads_mock = mocker.patch.object(URLSafeTimedSerializer, 'loads') loads_mock.return_value = ('hi@there', 'HI') payload = signature.verify_payload( encoded_payload='rubishtokenwhereareyou', secret='my_secret', salt='salt_me', signer_email='hi@there', max_age=24) assert payload == 'HI' assert loads_mock.call_count == 1 def test_verify_payload__different_secrets_for_encoding_and_decoding(): code = signature.sign_payload( 'why@gmail.com', 'NO!', 'secret123', 'salt') with pytest.raises(EventFactory.BrokenRequest) as e: assert signature.verify_payload( code, 'my_secret', 'salt', 'hi@there', 120) assert e.value.event == 'PAYLOAD_VERIFIED_AS_BROKEN' def test_verify_payload__email_mismatch(mocker): code = signature.sign_payload( 'why@gmail.com', 'NO!', 'secret123', 'salt') with pytest.raises(EventFactory.BrokenRequest) as e: signature.verify_payload( code, 'secret123', 'salt', 'hello@there', 120) assert e.value.event == 'PAYLOAD_VERIFIED_AS_BROKEN_MISMATCHING_EMAILS' def test_verify_payload__recognizes_expired_token(mocker): mocker.patch.object( URLSafeTimedSerializer, 'loads' ).side_effect = SignatureExpired( 'error occured', date_signed=datetime(2013, 1, 15, 6, 48)) with pytest.raises(EventFactory.BrokenRequest) as e: signature.verify_payload( 'what.ever', 'personal_secret', 'salt', 'test@whats.com', 24) assert e.value.event == 'PAYLOAD_VERIFIED_AS_EXPIRED' # # create_secret # def test_create_secret__creates_unique_secrets(): secrets = [signature.create_secret() for i in range(1000)] assert len(secrets) == len(set(secrets)) def test_create_secret__safe_secret(): def assert_is_secret_safe(secret): assert len(secret) == 64 assert len(set(string.ascii_uppercase) & set(secret)) > 0 assert len(set(string.ascii_lowercase) & set(secret)) > 0 assert len(set(string.digits) & set(secret)) > 0 assert len(set(string.punctuation) & set(secret)) > 0 # uniqueness of characters assert len(set(secret)) > 30 for i in range(1000): assert_is_secret_safe(signature.create_secret())

[ "maciej@cosphere.org" ]

maciej@cosphere.org

605b8ac68ca36f19a6c83959423f5e17545569cc

6d9fbe6e6a2abfd8455e92f6dba67a5f02d87f41

/lib/phonenumbers/shortdata/region_RW.py

34419d07f20772809e8c065ece534282a63aab08

[]

no_license

JamesBrace/InfluenceUWebLaunch

549d0b48ff3259b139cb891a19cb8b5382ffe2c8

332d25940e4b1b45a7a2a8200f77c8413543b199

refs/heads/master

2021-09-04T04:08:47.594900

2018-01-15T16:49:29

80,778,825

1

null

UTF-8

Python

false

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py

"""Auto-generated file, do not edit by hand. RW metadata""" from ..phonemetadata import NumberFormat, PhoneNumberDesc, PhoneMetadata PHONE_METADATA_RW = PhoneMetadata(id='RW', country_code=None, international_prefix=None, general_desc=PhoneNumberDesc(national_number_pattern='1\\d{2}', possible_number_pattern='\\d{3}', possible_length=(3,)), toll_free=PhoneNumberDesc(), premium_rate=PhoneNumberDesc(), emergency=PhoneNumberDesc(national_number_pattern='112', possible_number_pattern='\\d{3}', example_number='112', possible_length=(3,)), short_code=PhoneNumberDesc(national_number_pattern='112', possible_number_pattern='\\d{3}', example_number='112', possible_length=(3,)), standard_rate=PhoneNumberDesc(), carrier_specific=PhoneNumberDesc(), short_data=True)

[ "james.brace@mail.mcgill.ca" ]

james.brace@mail.mcgill.ca

b3293d311675fab17255febd8777666c78c11a7c

42d3e676cb9da325712dd54001a8fdda1661d1e1

/OutOfAfrica.py

8459020897373768d0f5f6ef2277657bb5c6f9b3

[]

no_license

janaobsteter/msprime

5f139f2b101e7246e53a6d0baaff1f28cf1dfa6c

e96ae69720100d544f69384d19a28fcca07a9c1d

refs/heads/master

2022-08-03T11:35:51.759317

2020-05-25T07:59:49

266,719,099

0

null

UTF-8

Python

false

2,470

py

import math import msprime # First we set out the maximum likelihood values of the various parameters # given in Table 1. N_A = 7300 N_B = 2100 N_AF = 12300 N_EU0 = 1000 N_AS0 = 510 # Times are provided in years, so we convert into generations. generation_time = 25 T_AF = 220e3 / generation_time # T_B = 140e3 / generation_time # divergence between west african and Eurasian populations T_EU_AS = 21.2e3 / generation_time # divergence time between european and east asian populations # We need to work out the starting (diploid) population sizes based on # the growth rates provided for these two populations r_EU = 0.004 r_AS = 0.0055 N_EU = N_EU0 / math.exp(-r_EU * T_EU_AS) N_AS = N_AS0 / math.exp(-r_AS * T_EU_AS) # Migration rates during the various epochs. m_AF_B = 25e-5 m_AF_EU = 3e-5 m_AF_AS = 1.9e-5 m_EU_AS = 9.6e-5 # Population IDs correspond to their indexes in the population # configuration array. Therefore, we have 0=YRI, 1=CEU and 2=CHB # initially. population_configurations = [ msprime.PopulationConfiguration( sample_size=0, initial_size=N_AF), msprime.PopulationConfiguration( sample_size=1, initial_size=N_EU, growth_rate=r_EU), msprime.PopulationConfiguration( sample_size=1, initial_size=N_AS, growth_rate=r_AS) ] migration_matrix = [ [ 0, m_AF_EU, m_AF_AS], [m_AF_EU, 0, m_EU_AS], [m_AF_AS, m_EU_AS, 0], ] demographic_events = [ # CEU and CHB merge into B with rate changes at T_EU_AS msprime.MassMigration( time=T_EU_AS, source=2, destination=1, proportion=1.0), msprime.MigrationRateChange(time=T_EU_AS, rate=0), msprime.MigrationRateChange( time=T_EU_AS, rate=m_AF_B, matrix_index=(0, 1)), msprime.MigrationRateChange( time=T_EU_AS, rate=m_AF_B, matrix_index=(1, 0)), msprime.PopulationParametersChange( time=T_EU_AS, initial_size=N_B, growth_rate=0, population_id=1), # Population B merges into YRI at T_B msprime.MassMigration( time=T_B, source=1, destination=0, proportion=1.0), # Size changes to N_A at T_AF msprime.PopulationParametersChange( time=T_AF, initial_size=N_A, population_id=0) ] # Use the demography debugger to print out the demographic history # that we have just described. dd = msprime.DemographyDebugger( population_configurations=population_configurations, migration_matrix=migration_matrix, demographic_events=demographic_events) dd.print_history()

[ "obsteter.jana@gmail.com" ]

obsteter.jana@gmail.com

0f506c20beb65be6f34ecb5fcb1bcacae5c97864

09e57dd1374713f06b70d7b37a580130d9bbab0d

/benchmark/startQiskit_Class2922.py

8052c4b482d939ce0e7613f8c75fb9223b0a120a

[ "BSD-3-Clause" ]

permissive

UCLA-SEAL/QDiff

ad53650034897abb5941e74539e3aee8edb600ab

d968cbc47fe926b7f88b4adf10490f1edd6f8819

refs/heads/main

2023-08-05T04:52:24.961998

2021-09-19T02:56:16

405,159,939

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false

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# qubit number=4 # total number=42 import cirq import qiskit from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister from qiskit import BasicAer, execute, transpile from pprint import pprint from qiskit.test.mock import FakeVigo from math import log2 import numpy as np import networkx as nx def bitwise_xor(s: str, t: str) -> str: length = len(s) res = [] for i in range(length): res.append(str(int(s[i]) ^ int(t[i]))) return ''.join(res[::-1]) def bitwise_dot(s: str, t: str) -> str: length = len(s) res = 0 for i in range(length): res += int(s[i]) * int(t[i]) return str(res % 2) def build_oracle(n: int, f) -> QuantumCircuit: # implement the oracle O_f # NOTE: use multi_control_toffoli_gate ('noancilla' mode) # https://qiskit.org/documentation/_modules/qiskit/aqua/circuits/gates/multi_control_toffoli_gate.html # https://quantumcomputing.stackexchange.com/questions/3943/how-do-you-implement-the-toffoli-gate-using-only-single-qubit-and-cnot-gates # https://quantumcomputing.stackexchange.com/questions/2177/how-can-i-implement-an-n-bit-toffoli-gate controls = QuantumRegister(n, "ofc") target = QuantumRegister(1, "oft") oracle = QuantumCircuit(controls, target, name="Of") for i in range(2 ** n): rep = np.binary_repr(i, n) if f(rep) == "1": for j in range(n): if rep[j] == "0": oracle.x(controls[j]) oracle.mct(controls, target[0], None, mode='noancilla') for j in range(n): if rep[j] == "0": oracle.x(controls[j]) # oracle.barrier() return oracle def make_circuit(n:int,f) -> QuantumCircuit: # circuit begin input_qubit = QuantumRegister(n,"qc") classical = ClassicalRegister(n, "qm") prog = QuantumCircuit(input_qubit, classical) prog.h(input_qubit[3]) # number=35 prog.cz(input_qubit[0],input_qubit[3]) # number=36 prog.h(input_qubit[3]) # number=37 prog.h(input_qubit[3]) # number=22 prog.cx(input_qubit[0],input_qubit[3]) # number=32 prog.cx(input_qubit[0],input_qubit[3]) # number=39 prog.x(input_qubit[3]) # number=40 prog.cx(input_qubit[0],input_qubit[3]) # number=41 prog.cx(input_qubit[0],input_qubit[3]) # number=34 prog.h(input_qubit[3]) # number=19 prog.cz(input_qubit[0],input_qubit[3]) # number=20 prog.h(input_qubit[3]) # number=21 prog.z(input_qubit[3]) # number=10 prog.h(input_qubit[1]) # number=2 prog.h(input_qubit[2]) # number=3 prog.h(input_qubit[3]) # number=4 prog.h(input_qubit[0]) # number=5 oracle = build_oracle(n-1, f) prog.append(oracle.to_gate(),[input_qubit[i] for i in range(n-1)]+[input_qubit[n-1]]) prog.h(input_qubit[1]) # number=6 prog.h(input_qubit[2]) # number=7 prog.h(input_qubit[3]) # number=8 prog.h(input_qubit[0]) # number=9 prog.h(input_qubit[0]) # number=26 prog.cz(input_qubit[1],input_qubit[0]) # number=27 prog.h(input_qubit[0]) # number=28 prog.z(input_qubit[1]) # number=24 prog.cx(input_qubit[3],input_qubit[2]) # number=38 prog.h(input_qubit[0]) # number=29 prog.cz(input_qubit[1],input_qubit[0]) # number=30 prog.h(input_qubit[0]) # number=31 prog.h(input_qubit[1]) # number=18 prog.rx(2.8902652413026093,input_qubit[2]) # number=13 prog.y(input_qubit[1]) # number=11 prog.y(input_qubit[1]) # number=12 # circuit end return prog if __name__ == '__main__': a = "111" b = "0" f = lambda rep: bitwise_xor(bitwise_dot(a, rep), b) prog = make_circuit(4,f) backend = BasicAer.get_backend('statevector_simulator') sample_shot =8000 info = execute(prog, backend=backend).result().get_statevector() qubits = round(log2(len(info))) info = { np.binary_repr(i, qubits): round((info[i]*(info[i].conjugate())).real,3) for i in range(2 ** qubits) } backend = FakeVigo() circuit1 = transpile(prog,backend,optimization_level=2) writefile = open("../data/startQiskit_Class2922.csv","w") print(info,file=writefile) print("results end", file=writefile) print(circuit1.__len__(),file=writefile) print(circuit1,file=writefile) writefile.close()

[ "wangjiyuan123@yeah.net" ]

wangjiyuan123@yeah.net

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davidjrichardson/uwcs-zarya

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from django.contrib import admin from django.contrib.auth import get_user_model from django.contrib.auth.admin import UserAdmin as BaseUserAdmin from accounts.models import CompsocUser, ShellAccount, DatabaseAccount, ExecPlacement, ExecPosition class CompsocUserInline(admin.StackedInline): model = CompsocUser class ShellAccountInline(admin.StackedInline): model = ShellAccount class DatabaseAccountInline(admin.StackedInline): model = DatabaseAccount class CompsocUserAdmin(BaseUserAdmin): inlines = [ CompsocUserInline, ShellAccountInline, DatabaseAccountInline ] def nickname(self, obj): return CompsocUser.objects.get(user=obj).nickname CompsocUserAdmin.list_display = ('username', 'nickname', 'email', 'first_name', 'last_name', 'is_staff') CompsocUserAdmin.search_fields = ('username', 'compsocuser__nickname', 'first_name', 'last_name', 'email') admin.site.unregister(get_user_model()) admin.site.register(get_user_model(), CompsocUserAdmin) admin.site.register(ExecPosition) admin.site.register(ExecPlacement)

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david@tankski.co.uk

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rafaelperazzo/programacao-web

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# -*- coding: utf-8 -*- a=[] m=int(input('a quantidade de listas: ')) for i in range(0,m,1): int(input('digite os elemnetos: ')) a.append(m) c=sum(a) b=len(a) print(a)

[ "rafael.mota@ufca.edu.br" ]

rafael.mota@ufca.edu.br

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[]

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Zigje9/Algorithm_study

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import sys from collections import deque N, M = map(int, sys.stdin.readline().split()) move_x = [1, 0, -1, 0] move_y = [0, -1, 0, 1] board = [] for _ in range(N): board.append(list(map(int, sys.stdin.readline().split()))) def get_start(): for i in range(N): for j in range(M): if board[i][j] == 2: return [i, j] visit = [[0]*M for _ in range(N)] start_x, start_y = get_start() def bfs(): q = deque() q.append([start_x, start_y, 0]) visit[start_x][start_y] = 2e9 while q: now_x, now_y, dist = q.popleft() for i in range(4): next_x = now_x + move_x[i] next_y = now_y + move_y[i] if 0 <= next_x < N and 0 <= next_y < M: if visit[next_x][next_y] == 0 and board[next_x][next_y] == 1: visit[next_x][next_y] = dist+1 q.append([next_x, next_y, dist+1]) bfs() for i in range(N): for j in range(M): if visit[i][j] == 0 and board[i][j] == 1: visit[i][j] = -1 visit[start_x][start_y] = 0 for line in visit: print(" ".join(map(str, line)))

[ "pjkwprn@gmail.com" ]

pjkwprn@gmail.com

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import django import threading from django.core.management.commands.runserver import Command as RunserverCommand from django.core.management import CommandError from channels import channel_backends, DEFAULT_CHANNEL_BACKEND from channels.worker import Worker from channels.adapters import UrlConsumer from channels.interfaces.wsgi import WSGIInterface class Command(RunserverCommand): def get_handler(self, *args, **options): """ Returns the default WSGI handler for the runner. """ return WSGIInterface(self.channel_backend) def run(self, *args, **options): # Run the rest return super(Command, self).run(*args, **options) def inner_run(self, *args, **options): # Check a handler is registered for http reqs self.channel_backend = channel_backends[DEFAULT_CHANNEL_BACKEND] if not self.channel_backend.registry.consumer_for_channel("http.request"): # Register the default one self.channel_backend.registry.add_consumer(UrlConsumer(), ["http.request"]) # Note that this is the right one on the console self.stdout.write("Worker thread running, channels enabled") if self.channel_backend.local_only: self.stdout.write("Local channel backend detected, no remote channels support") # Launch a worker thread worker = WorkerThread(self.channel_backend) worker.daemon = True worker.start() # Run rest of inner run super(Command, self).inner_run(*args, **options) class WorkerThread(threading.Thread): """ Class that runs a worker """ def __init__(self, channel_backend): super(WorkerThread, self).__init__() self.channel_backend = channel_backend def run(self): Worker(channel_backend=self.channel_backend).run()

[ "andrew@aeracode.org" ]

andrew@aeracode.org

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/crossmarketetf/crossmarket_redemption_HA/YW_CETFSS_SHSH_044.py

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[]

no_license

nantongzyg/xtp_test

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refs/heads/master

2022-11-30T08:57:45.345460

2020-07-30T01:43:30

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#!/usr/bin/python # -*- encoding: utf-8 -*- import sys sys.path.append("/home/yhl2/workspace/xtp_test") from crossmarketetf.cetfservice.cetf_main_service import * from crossmarketetf.cetfservice.cetf_get_components_asset import * from crossmarketetf.cetfservice.cetf_utils import * from crossmarketetf.cetfmysql.query_cetf_components_code import * from mysql.QueryOrderErrorMsg import queryOrderErrorMsg from service.mainService import * from mysql.getUpOrDownPrice import getUpPrice class YW_CETFSS_SHSH_044(xtp_test_case): def test_YW_CETFSS_SHSH_044(self): # -----------ETF赎回------------- title = '赎回真实的ETF-可赎回的证券数足量，资金足额，预估现金差额>0' # 定义当前测试用例的期待值 # 期望状态：初始、未成交、全成、废单、撤废、内部撤单 # xtp_ID和cancel_xtpID默认为0，不需要变动 case_goal = { '期望状态': '全成', 'errorID': 0, 'errorMSG': '', '是否生成报单': '是', '是否是撤废': '否', 'xtp_ID': 0, 'cancel_xtpID': 0, } logger.warning(title) unit_info = { 'ticker': '530580', # etf代码 'etf_unit': 10.0, # etf赎回单位数 'etf_unit_sell': 1.0, # etf卖出单位数 'component_unit_sell': 10.0 # 成分股卖出单位数 } # -----------查询ETF赎回前成分股持仓------------- component_stk_info = cetf_get_all_component_stk(Api,unit_info['ticker']) # 查询etf最小申赎数量 unit_number = query_creation_redem_unit(unit_info['ticker']) # etf赎回数量 quantity = int(unit_info['etf_unit'] * unit_number) # 定义委托参数信息------------------------------------------ wt_reqs = { 'business_type': Api.const.XTP_BUSINESS_TYPE['XTP_BUSINESS_TYPE_ETF'], 'order_client_id': 2, 'market': Api.const.XTP_MARKET_TYPE['XTP_MKT_SH_A'], 'ticker': unit_info['ticker'], 'side': Api.const.XTP_SIDE_TYPE['XTP_SIDE_REDEMPTION'], 'price_type': Api.const.XTP_PRICE_TYPE['XTP_PRICE_LIMIT'], 'quantity': quantity, 'position_effect': Api.const.XTP_POSITION_EFFECT_TYPE['XTP_POSITION_EFFECT_INIT'] } g_func.cetf_parm_init(case_goal['期望状态']) rs1 = cetf_service_test(Api, case_goal, wt_reqs,component_stk_info) etf_creation_log(case_goal, rs1) self.assertEqual(rs1['用例测试结果'], True) # --------二级市场，卖出etf----------- case_goal['期望状态'] = '废单' case_goal['errorID'] = 11010121 case_goal['errorMSG'] = queryOrderErrorMsg(11010121) # 二级市场卖出的etf数量 quantity = int(unit_info['etf_unit_sell'] * unit_number) quantity_list = split_etf_quantity(quantity) # 查询涨停价 limitup_px = getUpPrice(unit_info['ticker']) rs2 = {} for etf_quantity in quantity_list: wt_reqs_etf = { 'business_type': Api.const.XTP_BUSINESS_TYPE['XTP_BUSINESS_TYPE_CASH'], 'order_client_id': 2, 'market': Api.const.XTP_MARKET_TYPE['XTP_MKT_SH_A'], 'ticker': unit_info['ticker'], 'side': Api.const.XTP_SIDE_TYPE['XTP_SIDE_SELL'], 'price_type': Api.const.XTP_PRICE_TYPE['XTP_PRICE_BEST5_OR_CANCEL'], 'price': limitup_px, 'quantity': etf_quantity, 'position_effect': Api.const.XTP_POSITION_EFFECT_TYPE['XTP_POSITION_EFFECT_INIT'] } ParmIni(Api, case_goal['期望状态'], wt_reqs['price_type']) rs2 = serviceTest(Api, case_goal, wt_reqs_etf) if rs2['用例测试结果'] is False: etf_sell_log(case_goal, rs2) self.assertEqual(rs2['用例测试结果'], True) return etf_sell_log(case_goal, rs2) time.sleep(2) # ------------二级市场卖出成份股----------- case_goal['期望状态'] = '全成' case_goal['errorID'] = 0 case_goal['errorMSG'] = '' # 查询etf成分股代码、数量、现金替代标志等 etf_components = query_cetf_components_info(unit_info['ticker'],1) # 如果卖出单位大于100，表示卖出数量；小于100，表示卖出份数 rs3 = {} for component_info in etf_components: substitute_flag = component_info[1] if substitute_flag in (0,1): stk_code = component_info[0] components_share = component_info[2] quantity = (int(unit_info['component_unit_sell']) if unit_info['component_unit_sell'] >= 100 else int(components_share * unit_info['component_unit_sell'])) limitup_px = getUpPrice(stk_code) wt_reqs = { 'business_type': Api.const.XTP_BUSINESS_TYPE['XTP_BUSINESS_TYPE_CASH'], 'order_client_id': 2, 'market': Api.const.XTP_MARKET_TYPE['XTP_MKT_SH_A'], 'ticker': stk_code, 'side': Api.const.XTP_SIDE_TYPE['XTP_SIDE_SELL'], 'price_type': Api.const.XTP_PRICE_TYPE['XTP_PRICE_BEST5_OR_CANCEL'], 'price': limitup_px, 'quantity': quantity, 'position_effect': Api.const.XTP_POSITION_EFFECT_TYPE['XTP_POSITION_EFFECT_INIT'] } ParmIni(Api, case_goal['期望状态'], wt_reqs['price_type']) rs3 = serviceTest(Api, case_goal, wt_reqs) if rs3['用例测试结果'] is False: etf_components_sell_log(case_goal, rs3) self.assertEqual(rs3['用例测试结果'], True) etf_components_sell_log(case_goal, rs3) self.assertEqual(rs3['用例测试结果'], True) if __name__ == '__main__': unittest.main()

[ "418033945@qq.com" ]

418033945@qq.com