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

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/Python_codes/p02618/s417415114.py

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Aasthaengg/IBMdataset

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2021-05-13T17:27:22

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from sys import exit import copy #import numpy as np #from collections import deque d, = map(int, input().split()) c= list(map(int, input().split())) s=[list(map(int, input().split())) for _ in range(d)] # t=[int(input()) for _ in range(d)] sche=[0 for _ in range(d)] s_tmp=float("inf")*(-1) for off in range(0,13): last=[0 for _ in range(26)] sche=[0 for _ in range(d)] for day in range(1,d+1): idx=day-1 d_tmp=float("inf")*(-1) i_tmp=0 for t in range(26): delta=0 l_tmp=copy.copy(last) delta+=s[idx][t] l_tmp[t]=day for l in range(26): delta-=0.5*(off+1)*c[l]*((day-l_tmp[l])+(day+off-l_tmp[l])) if delta>=d_tmp: d_tmp=delta i_tmp=t sche[idx]=i_tmp+1 # score+=d_tmp last[i_tmp]=day # print(score) # print(i_tmp+1) score=0 last=[0 for _ in range(26)] for i in range(1,d+1): idx=i-1 score+=s[idx][sche[idx]-1] for l in range(26): score-=c[l]*(i-last[l]) last[sche[idx]-1]=i # print(score) if score>=s_tmp: s_tmp=score sche_tmp=copy.copy(sche) for i in sche_tmp: print(i) # print(s_tmp)

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66529651+Aastha2104@users.noreply.github.com

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/practice/design_pattern/03_abstract_factory/abstract_factory.py

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mida-hub/hobby

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refs/heads/master

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# Abstract Factory # abstract_factory.py from abc import ABC, abstractmethod class AbcItem(ABC): def __init__(self, caption): self.caption = caption @abstractmethod def make_html(self): pass class PageItem(AbcItem): def __init__(self, title, author): self.title = title self.author = author self.content = [] def add(self, item): self.content.append(item) def write_html(self, file_name): with open(file_name, 'w', encoding='utf-8') as fh: fh.write(self.make_html()) class LinkItem(AbcItem): def __init__(self, caption, url): super().__init__(caption) self.url = url class ListItem(AbcItem): def __init__(self, caption): super().__init__(caption) self.items = [] def add(self, item): self.items.append(item) class Factory(ABC): @abstractmethod def create_page_item(self, title, author): pass @abstractmethod def create_link_item(self, caption ,url): pass @abstractmethod def create_list_item(self, caption): pass

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rusuden0106@gmail.com

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/appstore/regulate_underscores.py

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ohannes/pythonScripts

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refs/heads/master

2020-04-06T04:20:29.565042

2015-07-19T17:40:39

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import sys sys.path.append(os.environ["ohannes"]) from ohannes import * input_file = getStrArg(1, 1) output_file = input_file + ".regulated" lines = getFileLines(input_file) ftw = open(output_file, write_mode) for line in lines: sharp_found = False equal_found = False line_regulated = False if not "=>" in line or not "#" in line or not "_" in line: ftw.write(line) continue index = 0 while True: if index == len(line) - 1: ftw.write(line[index]) break if line[index] == "#": sharp_found = True if line[index] == "=" and line[index+1] == ">": equal_found = True if line[index] == "_" and (not sharp_found) and equal_found and (not line_regulated): ftw.write(line[index+1].upper()) index += 1 line_regulated = True else: ftw.write(line[index]) index += 1 ftw.close()

[ "yasinyildiza@gmail.com" ]

yasinyildiza@gmail.com

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/Python_codes/p03347/s144374882.py

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Aasthaengg/IBMdataset

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2021-05-13T17:27:22

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import sys,queue,math,copy,itertools,bisect,collections,heapq def main(): sys.setrecursionlimit(10**7) INF = 10**18 MOD = 10**9 + 7 LI = lambda : [int(x) for x in sys.stdin.readline().split()] NI = lambda : int(sys.stdin.readline()) SI = lambda : sys.stdin.readline().rstrip() N = NI() A = [NI() for _ in range(N)] ans = 0 cnt = 0 for i in range(N-1,-1,-1): if cnt == 0: ans += A[i] cnt = A[i] elif A[i] < cnt -1: print(-1) return elif A[i] >= cnt: ans += A[i] cnt = A[i] else: cnt -= 1 if cnt > 0: print(-1) else: print(ans) if __name__ == '__main__': main()

[ "66529651+Aastha2104@users.noreply.github.com" ]

66529651+Aastha2104@users.noreply.github.com

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/packages/hyperk/wcsim_dev.py

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pgjones/nusoft

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#!/usr/bin/env python # # WCSimDev # # The HyperK WCSim development version # # Author P G Jones - 2014-06-20 <p.g.jones@qmul.ac.uk> : New file. #################################################################################################### import nusoft.package.local as local_package import os import nusoft.envfile class WCSimDev(local_package.LocalPackage): """ The WCSimDev installation package. :param _root: version of ROOT this is dependent on :param _geant4: version of Geant4 this is dependent on """ def __init__(self, system, repository): """ Initialise this wcsim installation package. :param system: class that manages system commands :type system: :class:`nusoft.system.System` instance :param repository: local name of the repository the package is from """ super(WCSimDev, self).__init__("wcsim-dev", system, repository) self._root = "root_v5.34.10" self._geant4 = "geant4.9.4.p04" self._clhep = "clhep-2.1.0.1" def get_dependencies(self): """ Return a list of dependency names :returns: list of dependency package names :rtype: list """ return ["make", "g++", "gcc", "ld", "python", "python-dev", self._root, self._geant4, self._clhep] def _download(self): """ Git clone the wcsim repository file.""" self._system.git_clone("ssh://git@poset.ph.qmul.ac.uk/hk-WCSim", self.get_install_path()) def _install(self): """ Write an environment file and install wcsim.""" # Now write the environment file self.write_env_file() commands = ["source " + os.path.join(self._system.get_install_path(), "env_wcsim-dev.sh"), "cd " + self.get_install_path(), "make rootcint", "make "] self._system.execute_commands(commands) def write_env_file(self): """ Write an environment file for this package.""" env_file = nusoft.envfile.EnvFile("#wcsim environment\n") env_file.add_source(os.path.join(self._dependencies[self._root].get_install_path(), "bin"), "thisroot") env_file.add_source(os.path.join(self._dependencies[self._geant4].get_install_path(), "share/geant4-9.4.4/config"), "geant4-9.4.4") env_file.add_environment("CLHEP_BASE_DIR", self._dependencies[self._clhep].get_install_path()) env_file.add_environment("G4WORKDIR", os.path.join(self.get_install_path(), "exe")) env_file.write(self._system.get_install_path(), "env_wcsim-dev") def _update(self): """ Update the git repository.""" if not self._system.git_update(self.get_install_path()): raise Exception("Cannot update, repository has changes") self._install() # Now reinstall (compile) def _remove(self): """ Remove the install directory.""" self._system.remove(self.get_install_path()) def _is_installed(self): """ Check if root is installed by looking for the root executable in the bin directory. :return: True if installed """ sys = os.uname()[0] return False # The versions of WCSimDev that can be installed (only one, WCSimDev) # [Although potentially more if the user wants]. versions = [WCSimDev]

[ "p.g.jones@qmul.ac.uk" ]

p.g.jones@qmul.ac.uk

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/recolo/tests/test_coordinate_solver.py

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PolymerGuy/recolo

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from unittest import TestCase from recolo.artificial_grid_deformation import find_coords_in_undef_conf, interpolated_disp_field import numpy as np def rms_diff(array1, array2): return np.sqrt(np.nanmean((array1 - array2) ** 2.)) def biharmonic_disp_field(x, y, amp_scale=0.5): return (amp_scale * 0.4 * np.cos(np.pi * x / 30) + amp_scale * 0.5 * np.sin(np.pi * y / 40)), ( amp_scale * 0.6 * np.cos(np.pi * x / 50) + amp_scale * 0.7 * np.sin(np.pi * y / 60)) class TestFindCoordinatesInUndefConf(TestCase): # As X is needed for other calculations, check that we can determine X from x = X + u(X) def test_analytical_disp_field(self): tol = 1e-5 dx = 3.5 dy = 2.7 xs, ys = np.meshgrid(np.arange(0, 80, dx), np.arange(0, 100, dy)) Xs, Ys = find_coords_in_undef_conf(xs, ys, biharmonic_disp_field, tol=1e-9) u_X, u_Y = biharmonic_disp_field(Xs, Ys) errors_x = xs - Xs - u_X errors_y = ys - Ys - u_Y peak_error_x = np.max(np.abs(errors_x)) peak_error_y = np.max(np.abs(errors_y)) if peak_error_x > tol or peak_error_y > tol: self.fail("Maximum error is %f and %f" % (peak_error_x, peak_error_y)) def test_interpolated_disp_field(self): tol = 1e-5 dx = 3.5 dy = 2.7 xs, ys = np.meshgrid(np.arange(0, 80, dx), np.arange(0, 100, dy)) # Make an approximated displacement field u_x, u_y = biharmonic_disp_field(xs, ys) disp_func_interp = interpolated_disp_field(u_x, u_y, dx=2, dy=4, order=3) X, Y = find_coords_in_undef_conf(xs, ys, disp_func_interp, tol=1e-9) u_X, u_Y = disp_func_interp(X, Y) errors_x = xs - X - u_X errors_y = ys - Y - u_Y peak_error_x = np.max(np.abs(errors_x)) peak_error_y = np.max(np.abs(errors_y)) if peak_error_x > tol or peak_error_y > tol: self.fail("Maximum error is %f and %f" % (peak_error_x, peak_error_y)) def test_compare_interpolated_and_analytical(self): # As there will always be minor error at the edges, we look at the mean error for the whole field tol = 1.e-3 dx = 3.5 dy = 2.7 xs, ys = np.meshgrid(np.arange(0, 80, dx), np.arange(0, 100, dy)) # Make an approximated displacement field0 u_x, u_y = biharmonic_disp_field(xs, ys) disp_func_interp = interpolated_disp_field(u_x, u_y, dx=dx, dy=dy, order=3, mode="nearest") X_interp, Y_interp = find_coords_in_undef_conf(xs, ys, disp_func_interp, tol=1e-9) X, Y = find_coords_in_undef_conf(xs, ys, biharmonic_disp_field, tol=1e-9) rms_diff_X = rms_diff(X_interp, X) rms_diff_Y = rms_diff(Y_interp, Y) if rms_diff_X > tol or rms_diff_Y > tol: self.fail("RMS error is %f and %f" % (rms_diff_X, rms_diff_Y)) def test_check_grid_sampling_independency(self): # Ensure that the sampling of u_x and u_y does not have a large impact on the final results tol = 1.e-3 dxs = [0.1,0.5,1.0,3.2] for i,dx in enumerate(dxs): dy = dx + 0.12 xs, ys = np.meshgrid(np.arange(0, 80, dx), np.arange(0, 100, dy)) # Make an approximated displacement field0 u_x, u_y = biharmonic_disp_field(xs, ys) disp_func_interp = interpolated_disp_field(u_x, u_y, dx=dx, dy=dy, order=3, mode="nearest") X_interp, Y_interp = find_coords_in_undef_conf(xs, ys, disp_func_interp, tol=1e-9) X, Y = find_coords_in_undef_conf(xs, ys, biharmonic_disp_field, tol=1e-9) rms_diff_X = rms_diff(X_interp, X) rms_diff_Y = rms_diff(Y_interp, Y) if rms_diff_X > tol or rms_diff_Y > tol: self.fail("RMS error is %f and %f for dx=%f and dy=%f" % (rms_diff_X, rms_diff_Y,dx,dy))

[ "sindre.n.olufsen@ntnu.no" ]

sindre.n.olufsen@ntnu.no

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/page/__init__.py

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[]

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bian-py/app_kefu_code

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refs/heads/master

2023-01-28T11:17:40.984458

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from selenium.webdriver.common.by import By # 以下是服务器页面配置信息 fwq_new = By.XPATH, '//*[contains(@content-desc,"添加新的服务器")]' fwq_hand_input = By.XPATH, '//*[contains(@content-desc,"手工输入")]' fwq_scan_code = By.XPATH, '//*[contains(@content-desc,"扫码二维码")]' fwq_input_name = By.XPATH, """//android.view.View[@content-desc="{{ 'server.name' | trans }}"]/../../android.widget.EditText""" fwq_input_URL = By.XPATH, """//android.view.View[@content-desc="{{ 'm.api.url' | trans }}"]/../../android.widget.EditText""" fwq_save_btn = By.XPATH, '//*[contains(@content-desc,"保存")]' fwq_confirm = By.XPATH, '//*[contains(@content-desc,"{}")]' fwq_url_error = By.XPATH, "//*[@content-desc = '无法连接到API']" fwq_swipe_area = By.XPATH, "//android.view.View[@scrollable = 'true']" fwq_back_btn = By.XPATH, "//*[@content-desc = '编辑服务器']/../android.widget.Button" fwq_modify_btn = By.XPATH, '//*[contains(@content-desc,"我的服务器 http://192.168.1.10/kefu/php/app.php?mobile-api")]' \ '/../android.view.View[2]/android.view.View[1]/android.widget.Button' fwq_delete_btn = By.XPATH, '//*[contains(@content-desc,"我的服务器 http://192.168.1.10/kefu/php/app.php?mobile-api")]' \ '/../android.view.View[2]/android.view.View[2]/android.widget.Button' fwq_delete_confirm_btn = By.XPATH, '//*[@content-desc="删除 "]' # 以下是登录页面配置信息 login_username = By.XPATH, '//android.view.View[@content-desc="登陆"]/../../android.widget.EditText' login_password = By.XPATH, '//android.view.View[@content-desc="密码"]/../../android.widget.EditText' login_confirm_btn = By.XPATH, '//android.widget.Button[@content-desc="登陆 "]' login_cancel_btn = By.XPATH, '//android.widget.Button[@content-desc="取消 "]' login_if_success = By.XPATH, '//android.view.View[@content-desc="我的服务器"]/../android.widget.Button' login_logout = By.XPATH, '//android.view.View[contains(@content-desc,"退出")]' login_error_confirm = By.XPATH, '//android.widget.Button[@content-desc="OK "]' login_error_info = By.XPATH, '//android.widget.Button[@content-desc="OK "]/../android.view.View[2]' # 以下是用户列表页面配置信息 def get_user_self_element(username): loc = By.XPATH, '//android.view.View[@content-desc="{}"]'.format(username) return loc user_details_page = By.XPATH, '//android.view.View[@content-desc="用户详细信息"]' user_details_page_back_btn = By.XPATH, '//android.view.View[@content-desc="用户详细信息"]/../android.widget.Button' user_details_send_btn = By.XPATH, '//android.widget.Button[contains(@content-desc,"发送消息 ")]' user_conversation_page = By.XPATH, '//android.view.View[@content-desc="会话"]' user_conversation_page_back_btn = By.XPATH, '//android.view.View[@content-desc="会话"]/../android.widget.Button' user_bottom_btn_talk_list = By.XPATH, '//android.view.View[contains(@content-desc,"会话会话")]/android.view.View/android.view.View' user_bottom_btn_user_list = By.XPATH, '//android.view.View[contains(@content-desc,"在线用户在线用户")]/android.view.View/android.view.View' user_talk_input = By.CLASS_NAME, 'android.widget.EditText' user_talk_input_btn = By.XPATH, '//android.widget.EditText/../../android.widget.Button[3]' # 以下是导航栏配置信息 dhl_menu = By.XPATH, '//android.view.View[@content-desc="我的服务器"]/../android.widget.Button' dhl_logout = By.XPATH, '//android.view.View[contains(@content-desc,"退出")]' dhl_user = By.XPATH, '//android.view.View[contains(@content-desc,"退出")]/../android.view.View[1]' dhl_talk = By.XPATH, '//android.view.View[contains(@content-desc,"退出")]/../android.view.View[2]' dhl_history = By.XPATH, '//android.view.View[contains(@content-desc,"退出")]/../android.view.View[3]' dhl_view = By.XPATH, '//android.view.View[contains(@content-desc,"退出")]/../android.view.View[4]' dhl_if_user = By.XPATH, '//android.view.View[@content-desc=" 匿名用户"]' dhl_if_history = By.XPATH, '//android.widget.Button[contains(@content-desc,"搜索 ")]' dhl_if_view = 'org.chromium.webview_shell' dhl_if_view_for_android_6 = 'com.android.browser' dhl_if_logout = By.XPATH, '//*[contains(@content-desc,"添加新的服务器")]' dhl_back_from_talk = By.XPATH, '//android.view.View[contains(@content-desc,"在线用户在线用户")]/android.view.View/android.view.View' # 以下是会话页面配置信息 def get_talk_list_element(username): loc = By.XPATH, '//android.view.View[@content-desc="{}"]'.format(username) return loc def search_history_msg(msg): loc = By.XPATH, '//android.view.View[@content-desc="{}"]'.format(msg) return loc talk_bottom_btn = By.XPATH, '//android.view.View[contains(@content-desc,"会话会话")]/android.view.View/android.view.View' talk_back_to_list = By.XPATH, '//android.view.View[@content-desc="会话"]/../android.widget.Button' talk_input = By.CLASS_NAME, 'android.widget.EditText' talk_input_btn = By.XPATH, '//android.widget.EditText/../../android.widget.Button[3]' talk_emoji_btn = By.XPATH, '//android.widget.EditText/../../android.widget.Button[2]' talk_menu_btn = By.XPATH, '//android.widget.EditText/../../android.widget.Button[1]' talk_attachment_btn = By.XPATH, '//android.widget.EditText/../../android.view.View[2]/android.view.View[1]' talk_attachment_for_6_arth = By.ID,'com.android.packageinstaller:id/permission_allow_button' talk_attachment_enter = By.XPATH, '//android.widget.TextView[contains(@text,"文")]' talk_attachment_file_menu = By.XPATH, '//android.widget.ImageButton[@content-desc="显示根目录"]' talk_attachment_download = By.XPATH, "//android.widget.TextView[@text = '下载']" talk_attachment = By.XPATH, "//android.widget.TextView[@text = 'timg.png']" talk_attachment_if = By.XPATH, '//android.view.View[@content-desc="timg.png"]' talk_emoji_select = By.XPATH, '//android.view.View[@content-desc="emot-3"]' talk_emoji_if = By.XPATH, '//android.widget.Image[@content-desc="emot-3"]' talk_menu_invite_user = By.XPATH, '//android.view.View[contains(@content-desc,"邀请会话")]' talk_invite_user = By.XPATH, '//android.view.View[@content-desc="test05"]' talk_invite_user2 = By.XPATH, '//android.view.View[@content-desc="test04"]' talk_invite_if = By.XPATH, '//android.view.View[@content-desc=") 已被邀请参加会谈"]' talk_menu_exit = By.XPATH, '//android.view.View[contains(@content-desc,"离开会话")]' talk_menu_cancel = By.XPATH, '//android.widget.Button[@content-desc="取消 "]' # 以下是历史记录页面配置信息 history_enter = By.XPATH, '//android.view.View[contains(@content-desc,"退出")]/../android.view.View[3]' history_username_input = By.XPATH, '''//android.view.View[@content-desc="{{ 'user.name' | trans }}"]/../../android.widget.EditText''' history_email_input = By.XPATH, '''//android.view.View[@content-desc="{{ 'user.email' | trans }}"]/../../android.widget.EditText''' history_search_btn = By.XPATH, '//android.widget.Button[contains(@content-desc,"搜索 ")]' history_username_if_success = By.XPATH, '//android.view.View[@content-desc="test04, test05"]' history_email_if_success = By.XPATH, '//android.view.View[@content-desc="test04, test03"]' history_date_start_btn = By.XPATH, '''//android.widget.Spinner[@content-desc="{{ 'from.date' | trans }} "]''' history_date_end_btn = By.XPATH, '''//android.widget.Spinner[@content-desc="{{ 'to.date' | trans }} "]''' history_data_start = By.XPATH, '//android.view.View[@content-desc="06 十二月 2020"]' history_data_end = By.XPATH, '//android.view.View[@content-desc="07 十二月 2020"]' history_date_set_btn = By.ID, 'android:id/button1' history_check_if1 = By.XPATH, '//android.view.View[@content-desc="历史会话"]' history_check_if2 = By.XPATH, '//android.view.View[@content-desc="这是test03发给test04的历史信息"]'

[ "334783747@qq.com" ]

334783747@qq.com

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s=int(input()) print(s//3600,s//60%60,s%60,sep=':') """ S=int(input()) m,s=divmod(S,60) h,m=divmod(m,60) print(h,m,s,sep=":") """

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#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. from abc import ABC, abstractmethod from typing import Any, Dict from classy_vision import tasks class ClassyHookState: """Class to store state within instances of ClassyHook. Any serializable data can be stored in the instance's attributes. """ def get_classy_state(self) -> Dict[str, Any]: return self.__dict__ def set_classy_state(self, state_dict: Dict[str, Any]): self.__dict__ = state_dict class ClassyHook(ABC): """Base class for hooks. Hooks allow to inject behavior at different places of the training loop, which are listed below in the chronological order. on_start -> on_phase_start -> on_step -> on_phase_end -> on_end Deriving classes should call ``super().__init__()`` and store any state in ``self.state``. Any state added to this property should be serializable. E.g. - .. code-block:: python class MyHook(ClassyHook): def __init__(self, a, b): super().__init__() self.state.a = [1,2,3] self.state.b = "my_hook" # the following line is not allowed # self.state.my_lambda = lambda x: x^2 """ def __init__(self): self.state = ClassyHookState() def _noop(self, *args, **kwargs) -> None: """Derived classes can set their hook functions to this. This is useful if they want those hook functions to not do anything. """ pass @classmethod def name(cls) -> str: """Returns the name of the class.""" return cls.__name__ @abstractmethod def on_start(self, task: "tasks.ClassyTask") -> None: """Called at the start of training.""" pass @abstractmethod def on_phase_start( self, task: "tasks.ClassyTask", local_variables: Dict[str, Any] ) -> None: """Called at the start of each phase.""" pass @abstractmethod def on_step(self, task: "tasks.ClassyTask") -> None: """Called each time after parameters have been updated by the optimizer.""" pass @abstractmethod def on_phase_end( self, task: "tasks.ClassyTask", local_variables: Dict[str, Any] ) -> None: """Called at the end of each phase (epoch).""" pass @abstractmethod def on_end(self, task: "tasks.ClassyTask") -> None: """Called at the end of training.""" pass def get_classy_state(self) -> Dict[str, Any]: """Get the state of the ClassyHook. The returned state is used for checkpointing. Returns: A state dictionary containing the state of the hook.\ """ return self.state.get_classy_state() def set_classy_state(self, state_dict: Dict[str, Any]) -> None: """Set the state of the ClassyHook. Args: state_dict: The state dictionary. Must be the output of a call to :func:`get_classy_state`. This is used to load the state of the hook from a checkpoint. """ self.state.set_classy_state(state_dict)

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from .chars_added import chars_added from .feature import Feature from .symbolic_chars_added import symbolic_chars_added def process(chars_added, symbolic_chars_added): return symbolic_chars_added/(chars_added or 1) proportion_of_symbolic_added = Feature("proportion_of_symbolic_added", process, returns=float, depends_on=[chars_added, symbolic_chars_added])

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sbowman-mitre/parallel_python_course

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# import version for use by setup.py from ._version import version_info, __version__ # noqa: F401 imported but unused from pathlib import Path import pdb import os import pdb def get_paths(*args, **kwargs): binpath=Path(os.environ['CONDA_PREFIX']) <<<<<<< HEAD libfile= binpath / Path('lib/libcffi_funs.so') libdir= binpath / Path('lib') pdb.set_trace() # # find either libcffi_funs.so or libcffi_funs.dll # library=list(libdir.glob('libcffi_funs.*')) if len(library) > 1: raise ImportError('found more than one libcffi_funs library') try: libfile=library[0] except IndexError: libfile=Path('libcffi_funs') includedir=Path.joinpath(binpath.parent,Path('include')) for the_path in [libfile, libdir, includedir]: if not the_path.exists(): print(f"couldn't find {str(the_path)}. Did you install cffi_funs?") out_dict=None break else: out_dict=dict(libfile=str(libfile),libdir=str(libdir),includedir=str(includedir)) ======= libfile= binpath/ Path('lib/libcffi_funs.so') libdir= binpath / Path('lib') includedir = binpath / Path('include') out_dict=dict(libfile=str(libfile),libdir=str(libdir),includedir=str(includedir)) >>>>>>> checkpoint return out_dict

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sm = float('inf') bi = - float('inf') for _ in range(5): v = int(input()) if v < sm: sm = v if v > bi: bi = v if bi - sm > int(input()): print(':(') else: print('Yay!')

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Mr-Phoebe/ACM-ICPC

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# -*- coding: utf-8 -*- # @Author: HaonanWu # @Date: 2017-03-03 10:57:26 # @Last Modified by: HaonanWu # @Last Modified time: 2017-03-03 11:01:34 class Solution(object): def spiralOrder(self, matrix): """ :type matrix: List[List[int]] :rtype: List[int] """ ret = [] while matrix: ret += matrix.pop(0) if matrix and matrix[0]: for row in matrix: ret.append(row.pop()) if matrix: ret += matrix.pop()[::-1] if matrix and matrix[0]: for row in matrix[::-1]: ret.append(row.pop(0)) return ret

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/mcod/resources/documents.py

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olekstomek/mcod-backend-dane.gov.pl

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from django.apps import apps from django_elasticsearch_dsl import DocType, Index, fields from mcod import settings from mcod.lib.search.fields import TranslatedTextField Resource = apps.get_model('resources', 'Resource') Dataset = apps.get_model('datasets', 'Dataset') TaskResult = apps.get_model('django_celery_results', "TaskResult") INDEX = Index(settings.ELASTICSEARCH_INDEX_NAMES['resources']) INDEX.settings(**settings.ELASTICSEARCH_DSL_INDEX_SETTINGS) data_schema = fields.NestedField(attr='schema', properties={ 'fields': fields.NestedField(properties={ 'name': fields.KeywordField(attr='name'), 'type': fields.KeywordField(attr='type'), 'format': fields.KeywordField(attr='format') }), 'missingValue': fields.KeywordField(attr='missingValue') }) @INDEX.doc_type class ResourceDoc(DocType): id = fields.IntegerField() slug = fields.TextField() uuid = fields.TextField() title = TranslatedTextField('title', common_params={'suggest': fields.CompletionField()}) description = TranslatedTextField('description') file_url = fields.TextField( attr='file_url' ) download_url = fields.TextField( attr='download_url' ) link = fields.TextField() format = fields.KeywordField() file_size = fields.LongField() type = fields.KeywordField() openness_score = fields.IntegerField() dataset = fields.NestedField(properties={ 'id': fields.IntegerField(), 'title': TranslatedTextField('title'), 'slug': TranslatedTextField('slug') }) views_count = fields.IntegerField() downloads_count = fields.IntegerField() status = fields.TextField() modified = fields.DateField() created = fields.DateField() verified = fields.DateField() data_date = fields.DateField() class Meta: doc_type = 'resource' model = Resource related_models = [Dataset, ] def get_instances_from_related(self, related_instance): if isinstance(related_instance, Dataset): return related_instance.resources.all() def get_queryset(self): return self._doc_type.model.objects.filter(status='published')

[ "piotr.zientarski@britenet.com.pl" ]

piotr.zientarski@britenet.com.pl

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/mounth001/day21/exercise03.py

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[]

no_license

Molly-l/66

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2020-09-28T12:50:18.590794

2019-11-27T04:42:28

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""" lstack.py 栈的链式结构重点代码思路: 1. 源于节点存储数据,建立节点关联 2. 封装方法入栈出栈栈空栈顶元素 3. 链表的开头作为栈顶(不需要每次遍历) """ # 自定义异常 class StackError(Exception): pass # 创建节点类 class Node: def __init__(self,val,next=None): self.val = val # 有用数据 self.next = next # 节点关系 # 链式栈 class LStack: def __init__(self): # 标记顶位置 self._top = None def is_empty(self): return self._top is None def push(self,val): node=Node(val) node.next=self._top self._top=node def pop(self): temp=self._top.val self.top=self.top.next return temp

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769358744@qq.com

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/tutorial/snippets/permissions.py

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antoniocarlosortiz/django-rest-framework-sample

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2021-01-01T05:18:51.457373

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from rest_framework import permissions class IsOwnerOrReadOnly(permissions.BasePermission): """ Custom permission to only allow owners of an object to edit it. """ def has_object_permission(self, request, view, obj): # Read permissions are allowed to any request. # so we'll always allow GET, HEAD or OPTIONS requests. if request.method in permissions.SAFE_METHODS: return True return obj.owner == request.user

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2023-04-10T05:21:24.086980

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# -*- coding: utf-8 -*- from py_gql._string_utils import dedent from py_gql.lang import parse from py_gql.validation import validate_ast from py_gql.validation.validate import SPECIFIED_RULES, default_validator def _ensure_list(value): if isinstance(value, list): return value else: return [value] def assert_validation_result( schema, source, expected_msgs=None, expected_locs=None, checkers=None ): # Prints are here so we can more easily debug when running pytest with -v expected_msgs = expected_msgs or [] expected_locs = expected_locs or [] print(source) result = validate_ast( schema, parse(dedent(source), allow_type_system=True), validators=[ lambda s, d, v: default_validator( s, d, v, validators=(checkers or SPECIFIED_RULES) ) ], ) errors = result.errors msgs = [str(err) for err in errors] locs = [[node.loc for node in err.nodes] for err in errors] print(" [msgs] ", msgs) print(" [locs] ", locs) assert msgs == expected_msgs if expected_locs: assert locs == [_ensure_list(l) for l in expected_locs] def assert_checker_validation_result( checker, schema, source, expected_msgs=None, expected_locs=None ): assert_validation_result( schema, source, expected_msgs=expected_msgs, expected_locs=expected_locs, checkers=[checker], )

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/google/ads/googleads/v9/enums/types/feed_item_quality_approval_status.py

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2022-07-06T19:05:50.932553

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# -*- coding: utf-8 -*- # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import proto # type: ignore __protobuf__ = proto.module( package="google.ads.googleads.v9.enums", marshal="google.ads.googleads.v9", manifest={"FeedItemQualityApprovalStatusEnum",}, ) class FeedItemQualityApprovalStatusEnum(proto.Message): r"""Container for enum describing possible quality evaluation approval statuses of a feed item. """ class FeedItemQualityApprovalStatus(proto.Enum): r"""The possible quality evaluation approval statuses of a feed item. """ UNSPECIFIED = 0 UNKNOWN = 1 APPROVED = 2 DISAPPROVED = 3 __all__ = tuple(sorted(__protobuf__.manifest))

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skyride/evestats

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from sde.models import Type def generate_breadcrumb_trail(marketgroup): def recurse(node): """Return an list containing the path to this trail""" if isinstance(node, dict): return [] elif isinstance(node, Type): return [*recurse(node.market_group), node] elif node.parent is None: return [node] else: return [*recurse(node.parent), node] return [ { "name": "Market", "root": True }, *recurse(marketgroup) ]

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[]

no_license

MohammedAlewi/competitive-programming

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def edit_str(s1,s2,n,m): if n<0 or m<0: return max(m,n)+1 elif s1[n]==s2[m]: return edit_str(s1,s2,n-1,m-1) else: return min(edit_str(s1,s2,n-1,m-1),edit_str(s1,s2,n,m-1),edit_str(s1,s2,n-1,m)) +1 print(edit_str("kitten","sitting",5,6))

[ "rofyalewi@gmail.com" ]

rofyalewi@gmail.com

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NOASSERTION

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UTF-8

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519

py

from django.conf import settings from django.conf.urls import url, include from django.conf.urls.static import static from django.contrib import admin urlpatterns = [ url(r'^admin/', admin.site.urls), url(r'^', include('numbas_lti.urls')), ]+ static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT) if settings.DEBUG: try: import debug_toolbar urlpatterns = [ url(r'^__debug__/', include(debug_toolbar.urls)), ] + urlpatterns except ImportError: pass

[ "christianperfect@gmail.com" ]

christianperfect@gmail.com

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cb4cfcece4bc14f591b038adbc7fadccaf447a1d

/ELEVSTRS.py

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[]

no_license

psycho-pomp/CodeChef

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881edddded0bc8820d22f42b94b9959fd6912c88

refs/heads/master

2023-03-21T06:46:14.455055

2021-03-11T12:07:48

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# cook your dish here from math import sqrt t=int(input()) for _ in range(t): n,v1,v2=map(int,input().split()) t1=n/v1 t2=(sqrt(2)*n)/v2 if t2>=t1: print("Stairs") else: print("Elevator")

[ "noreply@github.com" ]

psycho-pomp.noreply@github.com

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/apps/cloud_api_generator/generatedServer/tasklets/rack/create/rack_create.py

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[]

no_license

racktivity/ext-pylabs-core

04d96b80ac1942754257d59e91460c3a141f0a32

53d349fa6bee0ccead29afd6676979b44c109a61

refs/heads/master

2021-01-22T10:33:18.523799

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null

2017-06-08T09:09:29

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__author__ = 'aserver' __tags__ = 'rack', 'create' __priority__= 3 def main(q, i, params, tags): params['result'] = '' def match(q, i, params, tags): return True

[ "devnull@localhost" ]

devnull@localhost

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/2017-feb/1.python/5.data-frames.py

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[]

no_license

rajesh2win/datascience

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refs/heads/master

2021-01-20T21:06:12.488996

2017-08-01T04:39:07

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2017-08-29T09:53:49

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import pandas as pd col1 = [10,20,30,40] col2 = ['abc','def','xyz','pqr'] col3 = [0,0,0,0] #creating data frame df1 = pd.DataFrame({'pid':col1, 'pname':col2,'survived':col3}) df1.shape df1.info() df1.describe() df1.head(2) df1.tail() df1['col4'] = 0 #access frame content by column/columns df1.pid df1['pid'] df1[['pid','pname']] df1[[0,1]] #dropping a column df2 = df1.drop('survived',1) #slicing rows of frame df1[0:2] df1[0:4] df1[0:] df1[:2] df1[-2:] #filtering rows of dataframe by condition type(df1.pid > 20) df1[df1.pid>20] #selecting subsets of rows and columns df1.iloc[0:2,] df1.iloc[[0,2],] df1.iloc[0:2,0] df1.iloc[0:2,[0,2]] df1.loc[0:2,['pname']] #grouping data in data frames df1.groupby('id').size()

[ "info@algorithmica.co.in" ]

info@algorithmica.co.in

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/DJANGO/companytodo/reports/migrations/0006_auto_20191209_0121.py

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[]

no_license

mebaysan/LearningKitforBeginners-Python

f7c6668a9978b52cad6cc2b969990d7bbfedc376

9e1a47fb14b3d81c5b009b74432902090e213085

refs/heads/master

2022-12-21T03:12:19.892857

2021-06-22T11:58:27

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null

2022-12-10T03:00:22

2019-03-04T23:56:27

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py

# Generated by Django 2.2.7 on 2019-12-08 22:21 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('reports', '0005_auto_20191209_0120'), ] operations = [ migrations.AlterModelOptions( name='report', options={'ordering': ('-created',)}, ), ]

[ "menesbaysan@gmail.com" ]

menesbaysan@gmail.com

a81f1658dd871e8e403dcf6b4e512ae458767a2f

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/HBKAGJZ62JkCTgYX3_15.py

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[]

no_license

daniel-reich/ubiquitous-fiesta

26e80f0082f8589e51d359ce7953117a3da7d38c

9af2700dbe59284f5697e612491499841a6c126f

refs/heads/master

2023-04-05T06:40:37.328213

2021-04-06T20:17:44

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def last(l,n): if n>len(l): return 'invalid' elif n==0: return [] else: return l[len(l)-n:]

[ "daniel.reich@danielreichs-MacBook-Pro.local" ]

daniel.reich@danielreichs-MacBook-Pro.local

c0300915f88b4cbb234193be8a08ceb789f7fd55

c24b28c0dc4ad8f83845f4c61882f1e04d49b5cd

/Plotly_Graphs/Plotly_Introduction/plotly_charts.py

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[]

no_license

Coding-with-Adam/Dash-by-Plotly

759e927759513d96060a770b1e0b0a66db13f54f

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refs/heads/master

2023-08-31T17:23:02.029281

2023-08-08T05:12:50

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2023-07-31T15:47:07

2020-01-18T05:36:28

Jupyter Notebook

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py

import pandas as pd import plotly.express as px dfb = pd.read_csv("bird-window-collision-death.csv") df = px.data.tips() fig = px.pie(dfb, values='Deaths', names='Bldg #', color="Side", hole=0.3) fig.update_traces(textinfo="label+percent", insidetextfont=dict(color="white")) fig.update_layout(legend={"itemclick":False}) fig.show() fig.write_image("images/fig1.png")

[ "noreply@github.com" ]

Coding-with-Adam.noreply@github.com

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ae613a880eecf783ba23e7ca871f9e165ec2ce6e

/calculate_root.py

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permissive

h-mayorquin/capacity_code

52d7e81026cd804677d5a5a6312b434bdff6ed32

f885f0e409d3f9c54b8e20c902f7ef28584ca8a2

refs/heads/master

2020-08-28T00:30:14.760936

2020-01-31T17:26:29

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py

import warnings import pickle import pandas as pd import numpy as np import random from math import ceil, floor from copy import deepcopy from functions import * warnings.filterwarnings('ignore') minicolumns = 10 hypercolumns = 5 sequence_length = 2 number_of_sequences = 20 pattern_seed = np.random.randint(0, 20) desired_root = 0.9 verbose = True n_patterns = 100 pairs = produce_pairs_with_constant_number_of_patterns(n_patterns)[3:-3] # Format is hypercolumns, minicolumns, extra pairs = [(3, 66, 0)] # Do the calculations for pair in pairs: hypercolumns, minicolumns, extra = pair print('hypercolumns', hypercolumns) print('minicolumns', minicolumns) print('extra', extra) pattern_seed = np.random.randint(0, 20) aux = find_root_empirical(desired_root, hypercolumns, minicolumns, sequence_length, pattern_seed, tolerance=0.01, verbose=verbose) capacity, p_root, trials = aux # Read data_frame = pd.read_csv('../storage_capacity_data.csv', index_col=0) # Write data_frame = data_frame.append({'hypercolumns':hypercolumns, 'minicolumns':minicolumns, 'sequence_length':sequence_length, 'capacity':capacity, 'p_critical':p_root, 'trials':trials }, ignore_index=True) # Store the data base data_frame.to_csv('../storage_capacity_data.csv') print('Stored') print('================')

[ "h.mayorquin@gmail.com" ]

h.mayorquin@gmail.com

c1337933143e4be73f495569475dbf98d651bfac

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/Payload_Type/Apollo/mythic/agent_functions/net_localgroup_member.py

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[ "BSD-3-Clause", "MIT" ]

permissive

bopin2020/Apollo

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refs/heads/master

2023-01-12T23:50:01.266984

2020-11-12T07:03:13

null

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from CommandBase import * import json class NetLocalgroupMemberArguments(TaskArguments): def __init__(self, command_line): super().__init__(command_line) self.args = { "computer": CommandParameter(name="computer", required=False, type=ParameterType.String, description="Computer to enumerate."), "group": CommandParameter(name="group", type=ParameterType.String, description="Group to enumerate.") } def split_commandline(self): if self.command_line[0] == "{": raise Exception("split_commandline expected string, but got JSON object: " + self.command_line) inQuotes = False curCommand = "" cmds = [] for x in range(len(self.command_line)): c = self.command_line[x] if c == '"' or c == "'": inQuotes = not inQuotes if (not inQuotes and c == ' '): cmds.append(curCommand) curCommand = "" else: curCommand += c if curCommand != "": cmds.append(curCommand) for x in range(len(cmds)): if cmds[x][0] == '"' and cmds[x][-1] == '"': cmds[x] = cmds[x][1:-1] elif cmds[x][0] == "'" and cmds[x][-1] == "'": cmds[x] = cmds[x][1:-1] return cmds async def parse_arguments(self): if self.command_line[0] == "{": self.load_args_from_json_string(self.command_line) else: cmds = self.split_commandline() if len(cmds) == 1: self.add_arg("group", cmds[0]) elif len(cmds) == 2: self.add_arg("computer", cmds[0]) self.add_arg("group", cmds[1]) else: raise Exception("Expected one or two arguments, but got: {}".format(cmds)) class NetLocalgroupMemberCommand(CommandBase): cmd = "net_localgroup_member" needs_admin = False help_cmd = "net_localgroup_member [computer] [group]" description = "Retrieve local group membership of the group specified by [group]. If [computer] is omitted, defaults to localhost." version = 1 is_exit = False is_file_browse = False is_process_list = False is_download_file = False is_upload_file = False is_remove_file = False author = "@djhohnstein" argument_class = NetLocalgroupMemberArguments attackmapping = [] browser_script = BrowserScript(script_name="net_localgroup_member", author="@djhohnstein") async def create_tasking(self, task: MythicTask) -> MythicTask: return task async def process_response(self, response: AgentResponse): pass

[ "djhohnstein@gmail.com" ]

djhohnstein@gmail.com

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3d9825900eb1546de8ad5d13cae893eb0d6a9b14

/AutoWorkup/SEMTools/setup.py

94c4428d8e6622b3e676c76f782d87775210107d

[ "LicenseRef-scancode-warranty-disclaimer" ]

no_license

rtkarcher/BRAINSTools

20d69f96e6d5ca92adaeb06aa4fe6556b5e7b268

961135366450400409cece431423ed480855d34c

refs/heads/master

2021-01-15T08:53:48.961607

2013-06-26T19:09:34

null

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null

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# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*- # vi: set ft=python sts=4 ts=4 sw=4 et: def configuration(parent_package='', top_path=None): from numpy.distutils.misc_util import Configuration config = Configuration('SEMTools', parent_package, top_path) config.add_data_dir('diffusion') config.add_data_dir('segmentation') config.add_data_dir('filtering') config.add_data_dir('brains') config.add_data_dir('utilities') config.add_data_dir('registration') config.add_data_dir('utility') return config if __name__ == '__main__': from numpy.distutils.core import setup setup(**configuration(top_path='').todict())

[ "hans-johnson@uiowa.edu" ]

hans-johnson@uiowa.edu

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7aebfaec6957ad67523f1d8851856af88fb997a6

/catkin_ws/build/robotiq/robotiq_3f_gripper_control/catkin_generated/pkg.develspace.context.pc.py

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[]

no_license

k-makihara/ROS

918e79e521999085ab628b6bf27ec28a51a8ab87

45b60e0488a5ff1e3d8f1ca09bfd191dbf8c0508

refs/heads/master

2023-01-28T06:00:55.943392

2020-11-26T05:27:16

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py

# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/mslab/catkin_ws/devel/include".split(';') if "/home/mslab/catkin_ws/devel/include" != "" else [] PROJECT_CATKIN_DEPENDS = "controller_manager;diagnostic_updater;dynamic_reconfigure;hardware_interface;robotiq_ethercat;roscpp;rospy;socketcan_interface;std_srvs;robotiq_3f_gripper_articulated_msgs".replace(';', ' ') PKG_CONFIG_LIBRARIES_WITH_PREFIX = "-lrobotiq_3f_gripper_control".split(';') if "-lrobotiq_3f_gripper_control" != "" else [] PROJECT_NAME = "robotiq_3f_gripper_control" PROJECT_SPACE_DIR = "/home/mslab/catkin_ws/devel" PROJECT_VERSION = "1.0.0"

[ "makihara@ms.esys.tsukuba.ac.jp" ]

makihara@ms.esys.tsukuba.ac.jp

b836ab3184c86a5580190a268a1f5b5241677048

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/robo4.2/fusion/tests/wpst_crm/feature_tests/TBIRD/F110_Port_Monitoring/port_monitor_support_module.py

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[]

no_license

richa92/Jenkin_Regression_Testing

d18badfcf16bda682dfe7bcbbd66f54a9a27a58d

24a74926170cbdfafa47e972644e2fe5b627d8ff

refs/heads/master

2020-07-12T10:01:59.099137

2019-08-27T12:14:53

null

0

null

UTF-8

Python

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py

''' This module is used to include some helper function for Port Monitoring ''' def set_networkuri_lig(data_variable, get_output): ''' Build the network URI's from the network Name and form the LIG body ''' temp = data_variable for i in range(len(temp['uplinkSets'])): for j in range(len(temp['uplinkSets'][i]['networkUris'])): for x in get_output['members']: if temp['uplinkSets'][i]['networkUris'][j] == x['name']: temp['uplinkSets'][i]['networkUris'][j] = x['uri'] return temp

[ "akul@SAC0MKUVCQ.asiapacific.hpqcorp.net" ]

akul@SAC0MKUVCQ.asiapacific.hpqcorp.net

ebe07b6c084e6824573cbad59b09aeeccd77287e

ca7aa979e7059467e158830b76673f5b77a0f5a3

/Python_codes/p03130/s063741533.py

8e8ac571e89e7cbb1f076333c2fcb83f461a3bff

[]

no_license

Aasthaengg/IBMdataset

7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901

f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8

refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

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UTF-8

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py

def examA(): N, K = LI() if (N+1)//2>=K: print("YES") else: print("NO") return def examB(): d = [0]*4 for _ in range(3): a, b = LI() a -=1; b -=1 d[a] +=1 d[b] +=1 for i in d: if i>=3 or i==0: print("NO") return print("YES") return def examC(): ans = 0 print(ans) return def examD(): ans = 0 print(ans) return def examE(): ans = 0 print(ans) return def examF(): ans = 0 print(ans) return import sys,copy,bisect,itertools,heapq,math from heapq import heappop,heappush,heapify from collections import Counter,defaultdict,deque def I(): return int(sys.stdin.readline()) def LI(): return list(map(int,sys.stdin.readline().split())) def LFI(): return list(map(float,sys.stdin.readline().split())) def LSI(): return list(map(str,sys.stdin.readline().split())) def LS(): return sys.stdin.readline().split() def SI(): return sys.stdin.readline().strip() global mod,mod2,inf,alphabet mod = 10**9 + 7 mod2 = 998244353 inf = 10**18 alphabet = [chr(ord('a') + i) for i in range(26)] if __name__ == '__main__': examB() """ """

[ "66529651+Aastha2104@users.noreply.github.com" ]

66529651+Aastha2104@users.noreply.github.com

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/Problem62-3.py

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[]

no_license

Nan-Do/eulerproject

1f63b23a4d4e344c8525238b2333920e733b03c9

d33033d6af10d1aca8f7db9bcf187ef8f6005040

refs/heads/master

2021-01-10T15:51:39.594159

2016-04-14T05:41:16

48,170,330

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null

UTF-8

Python

false

619

py

from itertools import count, permutations from math import ceil def gen_cubes(): for n in count(start=1): yield n ** 3 def is_cube(n): v = ceil(pow(n, (1/3.))) return (v ** 3) == n def check_cube(number, limit): n_str = str(number) count = 0 repeated = set() for n in set(permutations(n_str)): if n[0] = '0' or n in repeated: continue repeated.add(n) if is_cube(int(p_str)): count += 1 if count == limit: return True return False for n in gen_cubes(): if check_cube(n, 4): print n break

[ "icemanf@gmail.com" ]

icemanf@gmail.com

175cd537ba734aea16b54646d227d7f043eae53f

3027a838581e2b0778bd6ae40f9a6c72017b3b0d

/loss.py

84c014beac4352f30db99c0f34f0a9b4f0f3262b

[]

no_license

arthur-qiu/robust

2617adf3be8ea24592990e66b35123d02b0db045

3f40b45a740a1d3f2ba81a18e2cb510fe613d616

refs/heads/master

2020-12-04T12:08:52.665675

2020-02-26T10:37:34

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import numpy as np import torch import torch.nn as nn import math import torch.nn.functional as F def Entropy(input_): bs = input_.size(0) epsilon = 1e-5 entropy = -input_ * torch.log(input_ + epsilon) entropy = torch.sum(entropy, dim=1) return entropy def grl_hook(coeff): def fun1(grad): return -coeff*grad.clone() return fun1 def CDAN(input_list, ad_net, entropy=None, coeff=None, random_layer=None): softmax_output = input_list[1].detach() feature = input_list[0] if random_layer is None: op_out = torch.bmm(softmax_output.unsqueeze(2), feature.unsqueeze(1)) ad_out = ad_net(op_out.view(-1, softmax_output.size(1) * feature.size(1))) else: random_out = random_layer.forward([feature, softmax_output]) ad_out = ad_net(random_out.view(-1, random_out.size(1))) batch_size = softmax_output.size(0) // 2 dc_target = torch.from_numpy(np.array([[1]] * batch_size + [[0]] * batch_size)).float().cuda() # if ad_out.shape[0] != 128 or dc_target.shape[0] != 128: # print(ad_out.shape) # print(dc_target.shape) # print(softmax_output.shape) # print(feature.shape) if entropy is not None: entropy.register_hook(grl_hook(coeff)) entropy = 1.0+torch.exp(-entropy) source_mask = torch.ones_like(entropy) source_mask[feature.size(0)//2:] = 0 source_weight = entropy*source_mask target_mask = torch.ones_like(entropy) target_mask[0:feature.size(0)//2] = 0 target_weight = entropy*target_mask weight = source_weight / torch.sum(source_weight).detach().item() + \ target_weight / torch.sum(target_weight).detach().item() return torch.sum(weight.view(-1, 1) * nn.BCELoss(reduction='none')(ad_out, dc_target)) / torch.sum(weight).detach().item() else: return nn.BCELoss()(ad_out, dc_target) def DANN(features, ad_net): ad_out = ad_net(features) batch_size = ad_out.size(0) // 2 dc_target = torch.from_numpy(np.array([[1]] * batch_size + [[0]] * batch_size)).float().cuda() return nn.BCELoss()(ad_out, dc_target)

[ "Arthur" ]

Arthur

d7feedf3e0f9eec8c5f371d5bd23732533460493

5babecf71b6b3c3295219b59bd96e348e1cfaf80

/singleylinkedlist.py

c5bb94f61e1e34fc34faa6ab4bc6d013e5858183

[]

no_license

jefinagilbert/dataStructures

46697a8c1ec5cdb943a1e95e887f6343a85f648b

04773fc0dff7d18078f3960b0993ce8ab7918a19

refs/heads/main

2023-06-12T02:06:24.345124

2021-07-10T18:05:44

384,760,735

0

null

UTF-8

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py

class node: def __init__(self,data): self.data = data self.next = None class linkedlist: def __init__(self): self.head = None def printlinkedlist(self): temp = self.head print (temp) while (temp): print (temp.data,end=" -> ") temp = temp.next def append(self, new_data): new_node = node(new_data) if self.head is None: self.head = new_node return last = self.head while (last.next): last = last.next last.next = new_node def push(self, new_data): new_node = node(new_data) new_node.next = self.head self.head = new_node def insertAfter(self, prev_node, new_data): if prev_node is None: print("The given previous node not inLinkedList.") return new_node = node(new_data) new_node.next = prev_node.next prev_node.next = new_node def deletenode(self,key): temp = self.head if (temp is not None): if key == temp.data: self.head = temp.next temp = None while (temp is not None): if temp.data == key: break prev = temp temp = temp.next if (temp is None): return prev.next = temp.next temp = None def deletelist(self): temp = self.head # we can also use Only self.head = None while (temp): next = temp.next del temp.data temp = next self.head = None def deletenodeposition(self,position): temp = self.head if (self.head is None): return if position == 0: self.head = temp.next temp = None return for i in range(position - 1): temp = temp.next if (temp is None): break if (temp is None): return if (temp.next is None): return next = temp.next.next temp.next = None temp.next = next if __name__ == "__main__": llist = linkedlist() while True: print() print("------ NOTES ------") print() print("1. Append Value") print() print("2. Push Value") print() print("3. Insert After") print() print("4. Display Node") print() print("5. Delete Node by data") print() print("6. Delete Node by Position") print() print("7. Delete Linked list") print() print("8. Exit") i = int(input("Enter the Number: ")) if i == 1: k = int(input("enter value to append : ")) llist.append(k) print() print(k," Appended Successfully") elif i == 2: k = int(input("enter value to push : ")) llist.push(k) elif i == 3: k = int(input("enter value to add after : ")) llist.insertAfter(llist.head.next,k) elif i == 4: llist.printlinkedlist() elif i == 5: k = int(input("enter value to deletenode : ")) llist.deletenode(k) elif i == 6: k = int(input("enter position to Delete : ")) llist.deletenodeposition(k) elif i == 7: llist.deletelist() elif i == 8: break else: print("Enter Valid Number")

[ "noreply@github.com" ]

jefinagilbert.noreply@github.com

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/src/analyze.py

e18911d2f1160107000f7ce93c5532bf18c7c900

[ "MIT" ]

permissive

SteemData/classify.steemdata.com

8b34d7ae9e666b9dfe9930c82dc347650356fb94

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refs/heads/master

2021-03-19T05:57:34.360839

2017-11-09T22:30:59

null

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null

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py

import boto3 from easydict import EasyDict as ed config = ed( region_name = 'us-west-2', s3_bucket_name = 'steem-hackaton-input' ) rkg = boto3.client('rekognition', region_name=config.region_name) def nsfw(img: bytes): response = rkg.detect_moderation_labels( Image={'Bytes': img}, ) return response['ModerationLabels'] def labels(img: bytes): response = rkg.detect_labels( Image={'Bytes': img}, MaxLabels=100, MinConfidence=80, ) return response['Labels']

[ "_@furion.me" ]

_@furion.me

bfa64414e10648e405e89258f858138cfe2bcc91

f4e21b9a042577400689e83a7ae11c0eee13cecf

/gneiss/regression/tests/test_transformer.py

3f7aa1cd6eebc62d528cecdf3407afee1faff1f6

[]

no_license

ebolyen/gneiss

8facaaffe9904c8641f418fdd1461c1ae447e593

bb47be8805bf887afcc40b72365b062aa74ff823

refs/heads/master

2022-12-21T21:08:09.162341

2017-04-21T01:30:10

88,930,099

0

null

2017-04-21T02:20:16

null

UTF-8

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py

# ---------------------------------------------------------------------------- # Copyright (c) 2016--, gneiss development team. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file COPYING.txt, distributed with this software. # ---------------------------------------------------------------------------- import unittest from gneiss.regression._format import (LinearRegressionFormat_g, LinearMixedEffectsFormat_g) from qiime2.plugin.testing import TestPluginBase from gneiss.regression._ols import OLSModel from gneiss.regression._mixedlm import LMEModel import pandas.util.testing as pdt class TestLinearRegressionTransformers(TestPluginBase): package = "gneiss.regression.tests" def test_ols_model_to_regression_format(self): filepath = self.get_data_path('ols.pickle') transformer = self.get_transformer(OLSModel, LinearRegressionFormat_g) input = OLSModel.read_pickle(filepath) obs = transformer(input) obs = OLSModel.read_pickle(str(obs)) pdt.assert_frame_equal(input.pvalues, obs.pvalues) def test_regression_format_to_ols_model(self): filename = 'ols.pickle' input, obs = self.transform_format(LinearRegressionFormat_g, OLSModel, filename) exp = OLSModel.read_pickle(str(input)) pdt.assert_frame_equal(exp.pvalues, obs.pvalues) class TestLinearMixedEffectsTransformers(TestPluginBase): package = "gneiss.regression.tests" def test_lme_model_to_regression_format(self): filepath = self.get_data_path('lme.pickle') transformer = self.get_transformer(LMEModel, LinearMixedEffectsFormat_g) input = LMEModel.read_pickle(filepath) obs = transformer(input) obs = LMEModel.read_pickle(str(obs)) pdt.assert_frame_equal(input.pvalues, obs.pvalues) def test_regression_format_to_lme_model(self): filename = 'lme.pickle' input, obs = self.transform_format(LinearMixedEffectsFormat_g, LMEModel, filename) exp = LMEModel.read_pickle(str(input)) pdt.assert_frame_equal(exp.pvalues, obs.pvalues) if __name__ == '__main__': unittest.main()

[ "jamietmorton@gmail.com" ]

jamietmorton@gmail.com

0d37df26911f7aa45fd992907792f711b760b1d3

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/PyTorch/built-in/cv/classification/Gluon_ResNet50_v1d_for_PyTorch/timm/models/layers/involution.py

97e83500b1f997b67fbd369776d069d277ac3bdb

[ "Apache-2.0", "MIT", "CC-BY-NC-4.0", "GPL-1.0-or-later", "LicenseRef-scancode-proprietary-license", "LGPL-2.0-or-later", "BSD-3-Clause", "BSD-2-Clause", "LicenseRef-scancode-generic-cla", "LicenseRef-scancode-unknown-license-reference" ]

permissive

Ascend/ModelZoo-PyTorch

4c89414b9e2582cef9926d4670108a090c839d2d

92acc188d3a0f634de58463b6676e70df83ef808

refs/heads/master

2023-07-19T12:40:00.512853

2023-07-17T02:48:18

483,502,469

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6

Apache-2.0

2022-10-15T09:29:12

2022-04-20T04:11:18

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# Copyright [yyyy] [name of copyright owner] # Copyright 2021 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # """ PyTorch Involution Layer Official impl: https://github.com/d-li14/involution/blob/main/cls/mmcls/models/utils/involution_naive.py Paper: `Involution: Inverting the Inherence of Convolution for Visual Recognition` - https://arxiv.org/abs/2103.06255 """ import torch.nn as nn from .conv_bn_act import ConvBnAct from .create_conv2d import create_conv2d class Involution(nn.Module): def __init__( self, channels, kernel_size=3, stride=1, group_size=16, rd_ratio=4, norm_layer=nn.BatchNorm2d, act_layer=nn.ReLU, ): super(Involution, self).__init__() self.kernel_size = kernel_size self.stride = stride self.channels = channels self.group_size = group_size self.groups = self.channels // self.group_size self.conv1 = ConvBnAct( in_channels=channels, out_channels=channels // rd_ratio, kernel_size=1, norm_layer=norm_layer, act_layer=act_layer) self.conv2 = self.conv = create_conv2d( in_channels=channels // rd_ratio, out_channels=kernel_size**2 * self.groups, kernel_size=1, stride=1) self.avgpool = nn.AvgPool2d(stride, stride) if stride == 2 else nn.Identity() self.unfold = nn.Unfold(kernel_size, 1, (kernel_size-1)//2, stride) def forward(self, x): weight = self.conv2(self.conv1(self.avgpool(x))) B, C, H, W = weight.shape KK = int(self.kernel_size ** 2) weight = weight.view(B, self.groups, KK, H, W).unsqueeze(2) out = self.unfold(x).view(B, self.groups, self.group_size, KK, H, W) out = (weight * out).sum(dim=3).view(B, self.channels, H, W) return out

[ "wangjiangben@huawei.com" ]

wangjiangben@huawei.com

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/Python_codes/p03148/s977826358.py

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[]

no_license

Aasthaengg/IBMdataset

7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901

f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8

refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

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import sys readline = sys.stdin.readline MOD = 10 ** 9 + 7 INF = float('INF') sys.setrecursionlimit(10 ** 5) import heapq class PriorityQueue: class Reverse: def __init__(self, val): self.val = val def __lt__(self, other): return self.val > other.val def __repr__(self): return repr(self.val) def __init__(self, x=None, desc=False): if not x: x = [] if desc: for i in range(len(x)): x[i] = self.Reverse(x[i]) self._desc = desc self._container = x heapq.heapify(self._container) @property def is_empty(self): return not self._container def pop(self): if self._desc: return heapq.heappop(self._container).val else: return heapq.heappop(self._container) def push(self, item): if self._desc: heapq.heappush(self._container, self.Reverse(item)) else: heapq.heappush(self._container, item) def top(self): if self._desc: return self._container[0].val else: return self._container[0] def sum(self): return sum(self._container) def __len__(self): return len(self._container) def main(): from operator import itemgetter n, k = list(map(int, readline().split())) sushis_original = [list(map(int, readline().split())) for _ in range(n)] sushis_original.sort(key=itemgetter(1)) sushis_original.sort(key=itemgetter(0)) new_type = 0 prev = -1 for i in range(n): cur = sushis_original[i][0] if prev != cur: new_type += 1 if cur > new_type: sushis_original[i][0] = new_type prev = cur type_num = sushis_original[-1][0] sushis = {i: [] for i in range(1, type_num + 1)} for sushi_type, val in sushis_original: sushis[sushi_type].append(val) eat_sushis = PriorityQueue() rem_sushis = PriorityQueue(desc=True) rem = k if rem >= type_num: for i in range(1, type_num + 1): eat_sushis.push(sushis[i].pop()) rem -= type_num for vals in sushis.values(): for val in vals: rem_sushis.push(val) for _ in range(rem): eat_sushis.push(rem_sushis.pop()) else: for i in range(1, type_num + 1): eat_sushis.push(sushis[i].pop()) discard_num = type_num - k for _ in range(discard_num): eat_sushis.pop() for vals in sushis.values(): for val in vals: rem_sushis.push(val) cur_type = min(k, type_num) sub_next = 2 * cur_type - 1 while rem_sushis: cur_val = eat_sushis.top() new_val = rem_sushis.top() diff = new_val - cur_val if diff >= sub_next: eat_sushis.pop() eat_sushis.push(rem_sushis.pop()) cur_type -= 1 sub_next = 2 * cur_type - 1 else: break ans = cur_type ** 2 + eat_sushis.sum() print(ans) if __name__ == '__main__': main()

[ "66529651+Aastha2104@users.noreply.github.com" ]

66529651+Aastha2104@users.noreply.github.com

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/corpus/exceptions.py

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permissive

looselycoupled/partisan-discourse

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8579924094c92e25e21ce59a26232269cf6b34bc

refs/heads/master

2020-03-27T06:35:49.627350

2018-08-25T18:05:44

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Apache-2.0

2018-08-25T18:02:38

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# corpus.exceptions # Custom exceptions for corpus handling. # # Author: Benjamin Bengfort <bbengfort@districtdatalabs.com> # Created: Mon Jul 18 09:57:26 2016 -0400 # # Copyright (C) 2016 District Data Labs # For license information, see LICENSE.txt # # ID: exceptions.py [63935bc] benjamin@bengfort.com $ """ Custom exceptions for corpus handling. """ ########################################################################## ## Corpus Exceptions ########################################################################## class CorpusException(Exception): """ Something went wrong in the corpus app. """ pass class BitlyAPIError(CorpusException): """ Something went wrong trying to shorten a url. """ pass class FetchError(CorpusException): """ Something went wrong trying to fetch a url using requests. """ pass class NLTKError(CorpusException): """ Something went wrong when using NLTK. """ pass

[ "benjamin@bengfort.com" ]

benjamin@bengfort.com

e6abd68ee8891fd33558e2c79ba7b61eeb2bd4b5

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/djangoProject/services/migrations/0004_alter_sub_head.py

142021ffe6400739d7b16a3cef8ad1787f49ebfd

[]

no_license

ashkanusefi/rondshow

1079b81704fff55a1d54fa8dee2712ab61e92f4a

7e5a80fcc6e326b8b1737a54fb53becc4195e475

refs/heads/master

2023-09-01T18:45:33.170465

2021-09-18T11:24:52

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# Generated by Django 3.2.5 on 2021-07-13 10:40 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('services', '0003_alter_sub_head'), ] operations = [ migrations.AlterField( model_name='sub', name='head', field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='services.service', verbose_name='نام سردسته'), ), ]

[ "yousefi.ashkan96@gmail.com" ]

yousefi.ashkan96@gmail.com

ad2cf41e2835382146d98e659562119b73b04000

10425fd2f058afb9dd823929314bfede0a4eb513

/flaskaiohttp_websocket/app.py

67a5c4b45adbbf95106696a4225673ec018d7153

[]

no_license

gaozhidf/flask_websocket

60883571a469a7c283e3da9a8fbf81d752f82f71

41653f71b7fd6d07d3592a22a11f29e795ba45d8

refs/heads/master

2022-11-29T04:31:08.953294

2017-08-12T08:53:24

49,828,952

0

2

null

UTF-8

Python

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2,060

py

import json import asyncio import aiohttp from flask import Flask, current_app from flask_aiohttp import AioHTTP from flask_aiohttp.helper import async, websocket app = Flask(__name__) aio = AioHTTP(app) @app.route('/echo') @websocket def echo(): while True: msg = yield from aio.ws.receive_msg() if msg.tp == aiohttp.MsgType.text: aio.ws.send_str(msg.data) elif msg.tp == aiohttp.MsgType.close: print('websocket connection closed') break elif msg.tp == aiohttp.MsgType.error: print('ws connection closed with exception %s', aio.ws.exception()) break @app.route('/api') @async def api(): response = yield from aiohttp.request( 'GET', 'https://graph.facebook.com/zuck') data = yield from response.read() return data @app.route('/param/<arg>') @websocket def param(arg): while True: msg = yield from aio.ws.receive_msg() if msg.tp == aiohttp.MsgType.text: aio.ws.send_str(arg) elif msg.tp == aiohttp.MsgType.close: print('websocket connection closed') break elif msg.tp == aiohttp.MsgType.error: print('ws connection closed with exception %s', aio.ws.exception()) break @app.route('/late') @async def late(): yield from asyncio.sleep(3) data = { 'data': 'done' } data = json.dumps(data) current_app.response_class(data, headers={ 'Content-Type': 'application/json', }, status=201) return 'done' @app.route('/plain') def plain(): return 'Hello, World!' @app.route('/stream') def stream(): def f(): yield 'Hello, ' yield 'World!' return app.response_class(f()) @app.route('/async-stream') @async def async_stream(): def f(): yield 'I\'m ' yield 'sorry!' yield from asyncio.sleep(1) return app.response_class(f()) def main(): aio.run(app, debug=True) if __name__ == '__main__': main()

[ "gaozhidf@gmail.com" ]

gaozhidf@gmail.com

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2b54b1fb1540ab73d6c83cae3acd5fdd58bdead5

/Platinum_clusters_Project/final_images/Pt13_O2_DFTsorted/Pt7_3O2_TiO2_101surface_zorderimageplotbasedondepth1.py

4f1b59995eb2ca8b9bc48aa8fecadced15bc2251

[]

no_license

sivachiriki/GOFEE_Pt_V_supported

5787d44294262870075f35f2d31c096021b7ce20

6bd700dac1f3e7c58394b758d75246ac6e07eade

refs/heads/master

2022-04-08T11:38:13.038455

2020-03-09T10:48:31

226,359,812

0

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UTF-8

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py

from __future__ import division import matplotlib #matplotlib.use('Agg') # Can also use 'tkagg' or 'webagg' #from plot_neb_tio2 import * from matplotlib.offsetbox import TextArea, VPacker, AnnotationBbox import matplotlib.patches as patches import matplotlib.pyplot as plt from ase.io import read, write from ase.visualize import view import matplotlib.patches as mpatches from ase.data.colors import jmol_colors from pylab import * from ase.data import covalent_radii as aradii from matplotlib.patches import Circle from math import atan2,pi import matplotlib.gridspec as gridspec matplotlib.rcParams['xtick.direction'] = 'out' matplotlib.rcParams['ytick.direction'] = 'out' matplotlib.rc('font',**{'family':'sans-serif', 'sans-serif':['Helvetica'], 'size':14}) matplotlib.rc('text',usetex=True) matplotlib.rcParams['text.latex.unicode']=True #matplotlib.rcParams['text.latex.preamble']=['\usepackage{bm}'] #matplotlib.rcParams['text.latex.preamble']=['\usepackage{xfrac}'] matplotlib.rcParams['mathtext.default'] = 'regular' matplotlib.rcParams['ps.usedistiller'] = 'xpdf' matplotlib.rc('xtick', labelsize=14) matplotlib.rc('ytick', labelsize=14) def plot_atoms(ax, atoms, xyz, acols, alp, z): ecols = [[0, 0, 0] for col in atoms] indices = range(len(atoms)) for ia in indices: acol = acols[ia] ecol = ecols[ia] # if atoms[ia].symbol == 'Ti': # arad = aradii[atoms[ia].number] #* 0.9 * 0.5 # else: arad = aradii[atoms[ia].number] #* 0.9 apos = atoms[ia].position eps = arad circ = Circle([apos[xyz[0]], apos[xyz[1]]], fc = acol, ec = ecol, radius = arad, lw = 0.5, alpha = alp[ia], zorder = 1 - apos[1]/1000 ) ax.add_patch(circ) def plot_conf(ax, atoms, rot=False): colors = np.array([jmol_colors[atom.number] for atom in atoms]) for i, atom in enumerate(atoms): if (atom.number ==78): colors[i] =[0.1, 0.6, 0.6] if (atom.number ==8 and i >= 135 and i <=149 ): colors[i] =[0.1, 0.2, 0.5] alp = [None] * colors.shape[0] for i,a in enumerate(atoms): if a.symbol == 'Al' or a.symbol == 'O': if a.position[2] < 9.7: alp[i] = 0.3 if rot: atoms.rotate('x',pi/2) plot_atoms(ax, atoms, [0,2,1], colors, alp, z=-1) data=read('Pt13_O2_Al2O3_KRRfund9l_DFTrelaxedsorted.traj@:') #for j in range(len(data)): image = data[8] #* (2,2,1) for i,a in enumerate(image): # if a.position[1] >11.100: # image.positions[i,1] =0.000 if i ==48 or i==3 : image.positions[i,1] =image.positions[i,1]-12.429 image.positions[i,0] =image.positions[i,0]+7.176 # if i==148: # image.positions[i,0] =image.positions[i,0]-14.352 #write('newimage.traj',image) plt.figure(figsize=(6.0,7.0)) gs = gridspec.GridSpec(2, 1, height_ratios=[7.77,9.090]) cell = image.get_cell() # 0 0 ax = plt.subplot(gs[0, 0]) img = image.copy() plot_conf(ax, img) ax.set_xlim([-2.8, 11.85]) ax.set_ylim([10.0, 20.0]) ax.set_yticks([]) ax.set_xticks([]) ax.set(aspect=1) # 0 1 ax = plt.subplot(gs[1, 0]) image = image * (2,2,1) write('newimage.traj',image) cell = image.get_cell() img = image.copy() plot_conf(ax, img, rot=True) ax.set_xlim([-2.8, 11.85]) ax.set_ylim([0.80, 12.50]) ax.set_yticks([]) ax.set_xticks([]) ax.set(aspect=1) gs.update(wspace=0.00,hspace=0.00) plt.tight_layout() name ='Pt13_O2_Al2O3_0001_DFTopt_g{}'.format(8) savefig(name,bbox_inches='tight') show()

[ "sivachiriki@phys.au.dk" ]

sivachiriki@phys.au.dk

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/Robot Operating System (ROS)/ROS/Starter Code and Resources/ROS_Minimal_Projects/rospy_minimal_packages/modular_pub_sub/setup.py

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[ "BSD-2-Clause" ]

permissive

OpenSUTD/coding-notes

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refs/heads/master

2022-07-16T22:17:21.930385

2019-07-03T10:11:30

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BSD-2-Clause

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py

#!/usr/bin/env python from distutils.core import setup from catkin_pkg.python_setup import generate_distutils_setup setup_args = generate_distutils_setup( packages = ['modular_pub_sub'], package_dir = {'': 'src'}, install_requires = [''] ) setup(**setup_args)

[ "methylDragon@gmail.com" ]

methylDragon@gmail.com

4f86503e9967ceaa9cb417c55dc2f4ceb6706b4e

a8595670862f9475050abf73399afe34faaa083b

/wb_api/urls.py

f2d8bb64d1f13e51f8b884542b8f6d173580934d

[]

no_license

skiboorg/wb_api

14392df2da8569212c0ba05e527b46fcd9c30338

c45d8c340a45958bc6d380c2a431d13d0f1ebf37

refs/heads/master

2022-12-06T03:52:58.621255

2020-08-26T19:25:24

null

0

null

UTF-8

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py

from django.contrib import admin from django.urls import path,include from django.conf import settings from django.conf.urls.static import static urlpatterns = [ path('admin/', admin.site.urls), path('api-auth/', include('rest_framework.urls')), path('api/v1/', include('api.urls')), path('ckeditor/', include('ckeditor_uploader.urls')), ] + static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)

[ "11@11.11" ]

11@11.11

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/apps/support/templatetags/forum.py

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[ "MIT" ]

permissive

fengjinqi/website

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340eecec49ce0d66cd6a491d0ae9ad23ec9f841b

refs/heads/master

2023-02-18T10:12:52.158471

2023-02-16T08:40:13

160,755,540

367

114

MIT

2022-12-08T01:42:40

2018-12-07T01:44:34

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UTF-8

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false

1,226

py

from datetime import datetime from django.contrib.sessions.models import Session from django.core.cache import cache #from apps.forum.views import get_online_count from apps.support.models import QQ from apps.forum.models import Forum from django import template from django.utils.timezone import now, timedelta from apps.user.models import User register = template.Library() @register.inclusion_tag('pc/aside/forum_side.html') def get_fourm(): qq = QQ.objects.all() fourm = Forum.objects.filter(hidden=False,category__name='求职招聘')[:10] sessions = Session.objects.filter(expire_date__gte=datetime.now()).count() #print(get_online_count()) user = User.objects.count() cur_date = now().date() + timedelta(days=0) days = Forum.objects.filter(hidden=False,add_time__gte=cur_date).count() count = Forum.objects.filter(hidden=False).count() Hottest = Forum.objects.filter(hidden=False).order_by('-click_nums')[:10] return {'fourm':fourm,'qq':qq,'user':user,'sessions':sessions,'days':days,'count':count,'Hottest':Hottest} @register.filter def get_count(x): return x.filter(hidden=False).count() @register.filter def get_counts(x): return x.filter(is_show=True).count()

[ "tarena_feng@126.com" ]

tarena_feng@126.com

4a98ed5c35bc602fa3cf5522d5f85ab078bbcb92

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/examples/intro/8/example.py

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[ "MIT" ]

permissive

crasiak/ginkgo

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refs/heads/master

2021-01-16T20:07:45.269511

2012-04-06T07:26:46

null

0

null

UTF-8

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false

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import gevent from gevent.pywsgi import WSGIServer from gevent.server import StreamServer from gevent.socket import create_connection from ginkgo.core import Service class TcpClient(Service): def __init__(self, address, handler): self.address = address self.handler = handler def do_start(self): self.spawn(self.handler, self.address) class MyApplication(Service): def __init__(self, config): self.add_service(WSGIServer(('127.0.0.1', config['http_port']), self.handle_http)) self.add_service(StreamServer(('127.0.0.1', config['tcp_port']), self.handle_tcp)) self.add_service(TcpClient(config['connect_address'], self.client_connect)) def client_connect(self, address): sockfile = create_connection(address).makefile() while True: line = sockfile.readline() # returns None on EOF if line is not None: print "<<<", line, else: break def handle_tcp(self, socket, address): print 'new tcp connection!' while True: socket.send('hello\n') gevent.sleep(1) def handle_http(self, env, start_response): start_response('200 OK', [('Content-Type', 'text/html')]) print 'new http request!' return ["hello world"]

[ "progrium@gmail.com" ]

progrium@gmail.com

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/XOR.py

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[]

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Prakashchater/Leetcode-array-easy-questions

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xor = 0 out = [] arr = [10,11,1,2,3] n = arr[len(arr)-1] for i in range(len(arr)-1): out.append(arr[i]^arr[i+1]) out.append(arr[len(arr)-1]) print(out)

[ "prakashchater@gmail.com" ]

prakashchater@gmail.com

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/src/server_code/game_logic.py

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[]

no_license

Tyorat/TicTacToe

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refs/heads/main

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import secrets WIN_COMBO = ((1, 2, 3), (4, 5, 6), (7, 8, 9), (1, 4, 7), (2, 5, 8), (3, 6, 9), (1, 5, 9), (7, 5, 3) ) SWITCH_TURN = {"x": "o", "o": "x"} class WrongMove(Exception): pass class Game: def __init__(self, player_one, player_two): self.__field = list(range(1, 10)) self.switch_turn = {player_one: player_two, player_two: player_one} self.__turn = None self.choose_random_player() turn = property() @turn.getter def turn(self): return self.__turn def check_end_game(self): self.show_field() for combo in WIN_COMBO: if self.__field[combo[0] - 1] == self.__field[combo[1] - 1] == self.__field[combo[2] - 1]: return{"endgame": True, "message": f"win {self.__field[combo[0] - 1]}"} if not any(list(map(lambda x: str(x).isdigit(), self.__field))): return {"endgame": True, "message": "draw"} else: return {"endgame": False, "message": "wait for opponent"} def check_turn(self, index, who): if self.__field[index - 1] != index: raise WrongMove("The cell is already occupied") elif who not in self.switch_turn.keys(): raise WrongMove("Wrong player") elif who != self.__turn: raise WrongMove("Not your turn") self.__field[index - 1] = who res = self.check_end_game() self.__turn = self.switch_turn[self.__turn] return res def choose_random_player(self): print(self.switch_turn.keys()) self.__turn = secrets.choice(list(self.switch_turn.keys())) def show_field(self): print("************") print("|" + "|".join(map(str, self.__field[:3])) + "|") print("|" + "|".join(map(str, self.__field[3:6])) + "|") print("|" + "|".join(map(str, self.__field[6:])) + "|") print("************")

[ "you@example.com" ]

you@example.com

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/target/migrations/0011_auto_20201101_1147.py

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permissive

groundupnews/gu

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refs/heads/master

2023-08-31T13:13:47.178119

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py

# Generated by Django 3.0.10 on 2020-11-01 09:47 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('target', '0010_auto_20201101_1127'), ] operations = [ migrations.AddField( model_name='target', name='tweet_notified_published', field=models.BooleanField(default=False, editable=False), ), migrations.AddField( model_name='target', name='tweet_notified_solution', field=models.BooleanField(default=False, editable=False), ), migrations.AlterField( model_name='target', name='publish_solution_after', field=models.SmallIntegerField(default=24, help_text='Make solution available after this many hours', null=True, verbose_name='solution time'), ), ]

[ "nathangeffen@gmail.com" ]

nathangeffen@gmail.com

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/igmspec/scripts/plot_igmspec.py

c3e68e4c64d8f0b820e6ba8daf9c1882d20f2c30

[]

no_license

Waelthus/igmspec

c81f31360e9528bd150a991ad96b8b4ca94962d0

8fdbb622360ca5263711f75d0f7571ed955f6e28

refs/heads/master

2020-12-25T21:55:50.001007

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#!/usr/bin/env python """ Loads and plots a requested spectrum """ import pdb def parser(options=None): import argparse parser = argparse.ArgumentParser(description='plot_igmspec script v0.2') parser.add_argument("coord", type=str, help="Coordinates, e.g. J081240+320808") parser.add_argument("--tol", default=5., type=float, help="Maximum offset in arcsec [default=5.]") parser.add_argument("--meta", default=True, help="Show meta data? [default: True]", action="store_true") parser.add_argument("-s", "--survey", help="Name of Survey to use") parser.add_argument("--select", default=0, type=int, help="Index of spectrum to plot (when multiple exist)") parser.add_argument("--mplot", default=False, help="Use simple matplotlib plot [default: False]") if options is None: args = parser.parse_args() else: args = parser.parse_args(options) return args def main(args, unit_test=False, **kwargs): """ Run """ from astropy import units as u from igmspec.igmspec import IgmSpec from igmspec import cat_utils as icu # init igmsp = IgmSpec(**kwargs) # Grab all_spec, all_meta = igmsp.spec_from_coord(args.coord, tol=args.tol*u.arcsec, isurvey=args.survey) # Outcome if len(all_meta) == 0: print("No source found, try another location or a larger tolerance.") return elif len(all_meta) == 1: # One survey hit spec = all_spec[0] meta = all_spec[0] else: # More than 1 survey idx = 0 spec = all_spec[idx] meta = all_meta[idx] surveys = [meta.meta['survey'] for meta in all_meta] print("Source located in more than one survey") print("Using survey {:s}. You can choose from this list {}".format(surveys[idx], surveys)) #print("Choose another survey from this list (as you wish): {}".format(surveys)) if args.meta: igmsp.idb.show_meta() # Load spectra spec.select = args.select if unit_test: return # Show [may transition to xspec] if args.mplot: spec.plot() else: spec.plot(xspec=True)

[ "xavier@ucolick.org" ]

xavier@ucolick.org

c37ee59446bb0ce436a571312628fce8121b88a8

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/fuzzinator/tracker/base.py

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[ "BSD-3-Clause" ]

permissive

darrynza/fuzzinator

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refs/heads/master

2020-04-29T04:39:36.453300

2018-12-06T17:15:35

2019-01-08T23:36:20

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# Copyright (c) 2016-2018 Renata Hodovan, Akos Kiss. # # Licensed under the BSD 3-Clause License # <LICENSE.rst or https://opensource.org/licenses/BSD-3-Clause>. # This file may not be copied, modified, or distributed except # according to those terms. class BaseTracker(object): @property def logged_in(self): return True def find_issue(self, issue): pass def report_issue(self, **kwargs): pass def issue_url(self, issue): return ''

[ "reni@inf.u-szeged.hu" ]

reni@inf.u-szeged.hu

007ee5b8228f8de322122564f9f44722684aa6cf

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/Django/django_celery_test/django_celery_test/celeryconfig.py

cda60c880a754a04fa66f089f2be5f3d6b7e1eed

[]

no_license

zxbzxb180/python_work

ba21ab74f842e0d560a8bb192bb8a874d356b9e1

6406024e011aa06d1bda78d97cfecc47f7f2058c

refs/heads/master

2022-12-12T23:53:36.887963

2020-03-04T07:20:29

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null

2022-11-22T03:54:47

2019-06-30T08:48:44

Python

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854

py

import djcelery djcelery.setup_loader() BROKER_BACKEND = 'redis' BROKER_URL = 'redis://:6222580@localhost:6379/1' CELERY_RESULT_BACKEND = 'redis://:6222580@localhost:6379/2' CELERY_QUEUES = { 'beat_tasks': { 'exchange': 'beat_tasks', 'exchange_type': 'direct', 'binding_key': 'beat_tasks' }, 'work_queue': { 'exchange': 'work_queue', 'exchange_type': 'direct', 'binding_key': 'work_queue' } } CELERY_DEFAULT_QUEUE = 'work_queue' CELERY_IMPORTS = ( 'course.tasks', ) #有些情况防止死锁 CELERYD_FORCE_EXECV = True #设置并发的worker数量 CELERYD_CONCURRENCY = 4 #允许重试 CELERY_ACKS_LATE = True #每个worker最多执行100个任务，可以防止内存泄漏 CELERYD_MAX_TASKS_PER_CHILD = 100 #单个任务最大执行时间 CELERYD_TASK_TIME_LIMIT = 12 * 30

[ "616529325@qq.com" ]

616529325@qq.com

f5baeac0738dfa8508464ce5bcfa5f41ca97435b

4d343b7e92a44b8c8eb3e3afeeeb0e1a7a699869

/ch4-practice/books/models.py

feed0423f49f8baba32c13a55d88e9fa25a7ef57

[]

no_license

dev-iwin/book4-Django-redbook

dfca5395ae68df7536a9e7b64b73b582608b6eaa

64e0b260b50bae8bd35b918eb341725c3c3373b4

refs/heads/master

2023-03-07T05:12:26.990807

2021-02-20T21:15:12

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null

UTF-8

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360

py

from django.db import models # 예제 4-26을 위한 모델 (혼자 만들어 봄) ========================== class Book(models.Model): book_name = models.CharField(max_length=300) pub_date = models.DateTimeField('publication_date') def __str__(self): return self.book_name # =============================================================

[ "iwinoriwin@gmail.com" ]

iwinoriwin@gmail.com

be1ff21d8d3789702fd02aa6333e49ef6cfe5047

cddfa750235344aa5e04244ce5c36871d3c6465b

/mayan/apps/document_states/links.py

f2d41f7e5898b86968e418d4195fb20c1560a36b

[ "Apache-2.0" ]

permissive

Lomascolo/mayan-edms

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f7f0d27a059b1e010b9bbcdf371b9867f6fcfa45

refs/heads/master

2021-01-24T08:30:07.480929

2017-05-30T06:01:31

2017-05-30T06:02:07

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py

from __future__ import unicode_literals from django.utils.translation import ugettext_lazy as _ from navigation import Link from .permissions import ( permission_workflow_create, permission_workflow_delete, permission_workflow_edit, permission_workflow_tools, permission_workflow_view, ) link_document_workflow_instance_list = Link( icon='fa fa-sitemap', permissions=(permission_workflow_view,), text=_('Workflows'), view='document_states:document_workflow_instance_list', args='resolved_object.pk' ) link_setup_workflow_create = Link( permissions=(permission_workflow_create,), text=_('Create workflow'), view='document_states:setup_workflow_create' ) link_setup_workflow_delete = Link( permissions=(permission_workflow_delete,), tags='dangerous', text=_('Delete'), view='document_states:setup_workflow_delete', args='object.pk' ) link_setup_workflow_document_types = Link( permissions=(permission_workflow_edit,), text=_('Document types'), view='document_states:setup_workflow_document_types', args='object.pk' ) link_setup_workflow_edit = Link( permissions=(permission_workflow_edit,), text=_('Edit'), view='document_states:setup_workflow_edit', args='object.pk' ) link_setup_workflow_list = Link( permissions=(permission_workflow_view,), icon='fa fa-sitemap', text=_('Workflows'), view='document_states:setup_workflow_list' ) link_setup_workflow_state_create = Link( permissions=(permission_workflow_edit,), text=_('Create state'), view='document_states:setup_workflow_state_create', args='object.pk' ) link_setup_workflow_state_delete = Link( permissions=(permission_workflow_edit,), tags='dangerous', text=_('Delete'), view='document_states:setup_workflow_state_delete', args='object.pk' ) link_setup_workflow_state_edit = Link( permissions=(permission_workflow_edit,), text=_('Edit'), view='document_states:setup_workflow_state_edit', args='object.pk' ) link_setup_workflow_states = Link( permissions=(permission_workflow_view,), text=_('States'), view='document_states:setup_workflow_states', args='object.pk' ) link_setup_workflow_transition_create = Link( permissions=(permission_workflow_edit,), text=_('Create transition'), view='document_states:setup_workflow_transition_create', args='object.pk' ) link_setup_workflow_transition_delete = Link( permissions=(permission_workflow_edit,), tags='dangerous', text=_('Delete'), view='document_states:setup_workflow_transition_delete', args='object.pk' ) link_setup_workflow_transition_edit = Link( permissions=(permission_workflow_edit,), text=_('Edit'), view='document_states:setup_workflow_transition_edit', args='object.pk' ) link_setup_workflow_transitions = Link( permissions=(permission_workflow_view,), text=_('Transitions'), view='document_states:setup_workflow_transitions', args='object.pk' ) link_tool_launch_all_workflows = Link( icon='fa fa-sitemap', permissions=(permission_workflow_tools,), text=_('Launch all workflows'), view='document_states:tool_launch_all_workflows' ) link_workflow_instance_detail = Link( permissions=(permission_workflow_view,), text=_('Detail'), view='document_states:workflow_instance_detail', args='resolved_object.pk' ) link_workflow_instance_transition = Link( text=_('Transition'), view='document_states:workflow_instance_transition', args='resolved_object.pk' ) link_workflow_document_list = Link( permissions=(permission_workflow_view,), text=_('Workflow documents'), view='document_states:workflow_document_list', args='resolved_object.pk' ) link_workflow_list = Link( permissions=(permission_workflow_view,), icon='fa fa-sitemap', text=_('Workflows'), view='document_states:workflow_list' ) link_workflow_state_document_list = Link( permissions=(permission_workflow_view,), text=_('State documents'), view='document_states:workflow_state_document_list', args='resolved_object.pk' ) link_workflow_state_list = Link( permissions=(permission_workflow_view,), text=_('States'), view='document_states:workflow_state_list', args='resolved_object.pk' )

[ "roberto.rosario.gonzalez@gmail.com" ]

roberto.rosario.gonzalez@gmail.com

a6066f6913650d57e3ddb4301debeef629944d3d

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/22. Database/2. Parameterized/24. RetrieveMultipleRowWhereClauseUserInputDict.py

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[]

no_license

satyambhatt5/Advance_Python_code

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refs/heads/master

2023-05-22T20:10:54.271672

2021-06-16T08:55:16

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# Retrieve Multiple Rows WHERE clause - User Input - Dict import mysql.connector try: conn= mysql.connector.connect( user='root', password='geek', host='localhost', database='pdb', port=3306 ) if (conn.is_connected()): print('Connected') except: print('Unable to Connect') sql = 'SELECT * FROM student WHERE roll=%(roll)s' myc = conn.cursor() n = int(input('Enter Roll to Display: ')) disp_value = {'roll':n} try: myc.execute(sql, disp_value) row = myc.fetchone() while row is not None: print(row) row = myc.fetchone() print('Total Rows:',myc.rowcount) except: print('Unable to Retrieve Data') myc.close() # Close Cursor conn.close() # Close Connection

[ "bhattsatyam793@gmail.com" ]

bhattsatyam793@gmail.com

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/generated_tempdir_2019_09_15_163300/generated_part002645.py

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[]

no_license

Upabjojr/rubi_generated

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cd35e9e51722b04fb159ada3d5811d62a423e429

refs/heads/master

2020-07-25T17:26:19.227918

2019-09-15T15:41:48

208,357,412

4

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UTF-8

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from sympy.abc import * from matchpy.matching.many_to_one import CommutativeMatcher from matchpy import * from matchpy.utils import VariableWithCount from collections import deque from multiset import Multiset from sympy.integrals.rubi.constraints import * from sympy.integrals.rubi.utility_function import * from sympy.integrals.rubi.rules.miscellaneous_integration import * from sympy import * class CommutativeMatcher122210(CommutativeMatcher): _instance = None patterns = { 0: (0, Multiset({}), [ (VariableWithCount('i2.2.1.2.1.0', 1, 1, None), Mul), (VariableWithCount('i2.2.1.2.1.0_1', 1, 1, S(1)), Mul) ]), 1: (1, Multiset({0: 1}), [ (VariableWithCount('i2.2.1.2.1.0', 1, 1, S(1)), Mul) ]) } subjects = {} subjects_by_id = {} bipartite = BipartiteGraph() associative = Mul max_optional_count = 1 anonymous_patterns = set() def __init__(self): self.add_subject(None) @staticmethod def get(): if CommutativeMatcher122210._instance is None: CommutativeMatcher122210._instance = CommutativeMatcher122210() return CommutativeMatcher122210._instance @staticmethod def get_match_iter(subject): subjects = deque([subject]) if subject is not None else deque() subst0 = Substitution() # State 122209 if len(subjects) >= 1 and isinstance(subjects[0], Pow): tmp1 = subjects.popleft() subjects2 = deque(tmp1._args) # State 123779 if len(subjects2) >= 1: tmp3 = subjects2.popleft() subst1 = Substitution(subst0) try: subst1.try_add_variable('i2.2.1.2.1.1', tmp3) except ValueError: pass else: pass # State 123780 if len(subjects2) >= 1: tmp5 = subjects2.popleft() subst2 = Substitution(subst1) try: subst2.try_add_variable('i2.2.1.2.1.2', tmp5) except ValueError: pass else: pass # State 123781 if len(subjects2) == 0: pass # State 123782 if len(subjects) == 0: pass # 0: x**n yield 0, subst2 subjects2.appendleft(tmp5) subjects2.appendleft(tmp3) subjects.appendleft(tmp1) return yield from collections import deque

[ "franz.bonazzi@gmail.com" ]

franz.bonazzi@gmail.com

4db5502b3cb8b1723df8a7ac89467e02e213fda7

d83f50302702d6bf46c266b8117514c6d2e5d863

/counting-bits.py

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[]

no_license

sfdye/leetcode

19764a6bdb82de114a2c82986864b1b2210c6d90

afc686acdda4168f4384e13fb730e17f4bdcd553

refs/heads/master

2020-03-20T07:58:52.128062

2019-05-05T08:10:41

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3

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class Solution: def countBits(self, num): """ :type num: int :rtype: List[int] """ ones = [0] * (num + 1) for i in range(1, num + 1): ones[i] = ones[i & (i - 1)] + 1 return ones

[ "tsfdye@gmail.com" ]

tsfdye@gmail.com

4f0d5c22413bdaacf869bf9cbd12d47bcc73f375

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/college/college/doctype/student_achievements/student_achievements.py

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[ "MIT" ]

permissive

harshith187/college

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refs/heads/master

2020-07-20T12:36:27.601134

2020-05-25T13:53:57

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4

NOASSERTION

2020-05-25T15:05:16

2019-09-05T19:27:37

Python

UTF-8

Python

false

266

py

# -*- coding: utf-8 -*- # Copyright (c) 2019, mvit ise and contributors # For license information, please see license.txt from __future__ import unicode_literals # import frappe from frappe.model.document import Document class StudentAchievements(Document): pass

[ "frappe@ubuntu.vm" ]

frappe@ubuntu.vm

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163bbb4e0920dedd5941e3edfb2d8706ba75627d

/Code/CodeRecords/2408/60670/279400.py

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[]

no_license

AdamZhouSE/pythonHomework

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refs/heads/master

2022-11-24T08:05:22.122011

2020-07-28T16:21:24

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py

def isPrime(x): for i in range(2,int(x**0.5)+1): if x%i!=0: return False return True def factorial(n): t=1 for i in range(1,n): t*=i return t%1000000007 n=int(input()) numOfPrime=0 for i in range(1,n+1): if isPrime(i): numOfPrime+=1 print((factorial(numOfPrime)*factorial(n-numOfPrime))%1000000007)

[ "1069583789@qq.com" ]

1069583789@qq.com

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/trydjango1-11/src/restaurants/migrations/0003_auto_20170926_1624.py

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[]

no_license

ervinpepic/Django-11-Restaurant-app

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a6bd976130c70621e6149ee64c61e1cdcec2acba

refs/heads/master

2022-10-18T08:34:11.496044

2017-11-25T19:57:36

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2022-10-10T08:12:45

2017-11-20T11:13:00

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# -*- coding: utf-8 -*- # Generated by Django 1.11.2 on 2017-09-26 16:24 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('restaurants', '0002_restaurant_location'), ] operations = [ migrations.RenameModel( old_name='Restaurant', new_name='RestaurantLocation', ), ]

[ "ervin.hack@gmail.com" ]

ervin.hack@gmail.com

85dedc26a7d0b18671e3606cefba8011ec6f33a6

15f321878face2af9317363c5f6de1e5ddd9b749

/solutions_python/Problem_156/521.py

ca8aafaec283d6e9fa857be6020a6168166a825e

[]

no_license

dr-dos-ok/Code_Jam_Webscraper

c06fd59870842664cd79c41eb460a09553e1c80a

26a35bf114a3aa30fc4c677ef069d95f41665cc0

refs/heads/master

2020-04-06T08:17:40.938460

2018-10-14T10:12:47

null

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UTF-8

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py

#!/usr/bin/python3 import sys import math ncases = int(sys.stdin.readline().strip()) for t in range(1, ncases+1): d = int(sys.stdin.readline().strip()) values = sys.stdin.readline().strip().split() pancakes = [int(x) for x in values] pancakes.sort(reverse=True) best = pancakes[0] # Node format: List of diners with pancakes, number of special minutes initial_node = [pancakes, 0] queue = [initial_node] while queue: node = queue.pop(0) diners = node[0] special = node[1] top = diners[0] #if (top + special) >= best: # continue if (top + special) < best: best = top + special if top < 4: continue # Let's introduce new special minutes. Note _all_ diners with # the max number of pancakes should be split (adding more special # minuts), as splitting just one of them is stupid for n in [2, 3, 4]: splits = [] remainder = top for i in range(0, n): split = math.floor(remainder/(n-i)) remainder -= split splits.append(split) diners_after_special = list(diners) new_special = special while diners_after_special[0] == top: diners_after_special.pop(0) diners_after_special += splits new_special += (n-1) diners_after_special.sort(reverse=True) new_node = [diners_after_special, new_special] queue.append(new_node) print("Case #{0}: {1}".format(t, best))

[ "miliar1732@gmail.com" ]

miliar1732@gmail.com

36815ed5dbc21619f0e347fd9614d4889ea71b0d

bfb882c400956861fccd40bf1fb53cd6ddcba41e

/hagelslag/processing/__init__.py

947f56449e95c6deffd11da0f81a50f94c71a716

[ "MIT" ]

permissive

stsaten6/hagelslag

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6b7d0779a0b0ac4bd26fbe4931b406fad1ef9f9e

refs/heads/master

2020-03-10T17:38:44.528943

2018-04-12T20:50:38

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MIT

2018-04-14T09:58:37

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from .EnhancedWatershedSegmenter import EnhancedWatershed from .EnsembleProducts import MachineLearningEnsembleProducts, EnsembleProducts, EnsembleConsensus from .Hysteresis import Hysteresis from .ObjectMatcher import ObjectMatcher, TrackMatcher from .ObjectMatcher import mean_minimum_centroid_distance, centroid_distance, shifted_centroid_distance, nonoverlap, \ mean_min_time_distance, start_centroid_distance, start_time_distance, closest_distance from .STObject import STObject, read_geojson from .tracker import *

[ "djgagne@ou.edu" ]

djgagne@ou.edu

feb3861b0c0a06a508fdf4a0748c05fe0b8f72be

0f00c8a02e8dc1d8136b2afc92338108f92cc6ae

/recipes/mrbayes/run_test.py

40033ea2ed9721ad50dfc69b067eccb43cef93ff

[]

no_license

faircloth-lab/conda-recipes

3714f5be83753261bf3abc70454bdf6b7028c8d6

75a520a75a357ea47ee80262f3c3a6dfe1b0715f

refs/heads/master

2021-01-20T07:07:05.705307

2015-06-16T13:50:18

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#!/usr/bin/env python # -*- coding: utf-8 -*- """ (c) 2013 Brant Faircloth || http://faircloth-lab.org/ All rights reserved. This code is distributed under a 3-clause BSD license. Please see LICENSE.txt for more information. Created on 30 December 2013 16:33 PST (-0800) """ import unittest import subprocess class TestMb(unittest.TestCase): def test_mb(self): cmd = ["mb", "-h"] proc = subprocess.Popen( cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE ) self.stdout, self.stderr = proc.communicate() text = [v.strip() for k, v in enumerate(self.stdout.split("\n")) if k in range(0, 6, 2)] assert text == [ '', 'MrBayes v3.2.2 x64', '(Bayesian Analysis of Phylogeny)' ] class TestMbMpi(unittest.TestCase): def test_mb(self): cmd = ["mb-mpi", "-h"] proc = subprocess.Popen( cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE ) self.stdout, self.stderr = proc.communicate() text = [v.strip() for k, v in enumerate(self.stdout.split("\n")) if k in range(0, 6, 2)] assert text == [ 'MrBayes v3.2.2 x64', '(Bayesian Analysis of Phylogeny)', '(Parallel version)' ] if __name__ == '__main__': unittest.main()

[ "brant@faircloth-lab.org" ]

brant@faircloth-lab.org

8c49afcd2557458371bc37031be00356b871799d

092e00ae8389811929a381637b73dcb2303fefeb

/blog/domain/user.py

338592ec2da4b0e0020f532f84602d13ba2ace07

[]

no_license

uiandwe/rest_framework_ex

33cfb73e386785009b1d012a3dfa6909bdc74ab3

8130bcf9a6ffd67b91906c85d66ed9d8d453bab8

refs/heads/master

2022-11-27T20:56:26.911462

2021-10-12T07:46:17

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0

null

2022-11-22T05:17:55

2020-01-15T14:12:34

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UTF-8

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false

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py

# -*- coding: utf-8 -*- class User: def __init__(self, email, username): self.email = email self.username = username def __repr__(self): return "{}, {}".format(self.email, self.username)

[ "uiandwe@gmail.com" ]

uiandwe@gmail.com

291145b4c5ed899fc48d811be2dd62caa2b32b4a

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/x12/4010/819004010.py

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[]

no_license

dougvanhorn/bots-grammars

2eb6c0a6b5231c14a6faf194b932aa614809076c

09db18d9d9bd9d92cefbf00f1c0de1c590fe3d0d

refs/heads/master

2021-05-16T12:55:58.022904

2019-05-17T15:22:23

105,274,633

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null

2017-09-29T13:21:21

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UTF-8

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py

from bots.botsconfig import * from records004010 import recorddefs syntax = { 'version' : '00403', #version of ISA to send 'functionalgroup' : 'JB', } structure = [ {ID: 'ST', MIN: 1, MAX: 1, LEVEL: [ {ID: 'BOS', MIN: 1, MAX: 1}, {ID: 'CUR', MIN: 0, MAX: 1}, {ID: 'ITD', MIN: 0, MAX: 5}, {ID: 'N1', MIN: 0, MAX: 10, LEVEL: [ {ID: 'N2', MIN: 0, MAX: 2}, {ID: 'N3', MIN: 0, MAX: 2}, {ID: 'N4', MIN: 0, MAX: 1}, {ID: 'REF', MIN: 0, MAX: 12}, {ID: 'MSG', MIN: 0, MAX: 12}, {ID: 'PER', MIN: 0, MAX: 3}, ]}, {ID: 'JIL', MIN: 1, MAX: 10000, LEVEL: [ {ID: 'PID', MIN: 0, MAX: 99999}, {ID: 'REF', MIN: 0, MAX: 12}, {ID: 'MSG', MIN: 0, MAX: 12}, {ID: 'MEA', MIN: 0, MAX: 10}, {ID: 'ITA', MIN: 0, MAX: 10}, {ID: 'PSA', MIN: 0, MAX: 1}, {ID: 'DTM', MIN: 0, MAX: 1}, {ID: 'JID', MIN: 0, MAX: 1000, LEVEL: [ {ID: 'PID', MIN: 0, MAX: 99999}, {ID: 'DTM', MIN: 0, MAX: 10}, {ID: 'REF', MIN: 0, MAX: 12}, {ID: 'MSG', MIN: 0, MAX: 12}, {ID: 'MEA', MIN: 0, MAX: 5}, ]}, ]}, {ID: 'AMT', MIN: 1, MAX: 1}, {ID: 'QTY', MIN: 0, MAX: 5}, {ID: 'TDS', MIN: 0, MAX: 1}, {ID: 'PSA', MIN: 0, MAX: 1000, LEVEL: [ {ID: 'N1', MIN: 0, MAX: 1}, {ID: 'N2', MIN: 0, MAX: 2}, {ID: 'N3', MIN: 0, MAX: 2}, {ID: 'N4', MIN: 0, MAX: 1}, {ID: 'DTM', MIN: 0, MAX: 1}, {ID: 'REF', MIN: 0, MAX: 12}, {ID: 'PER', MIN: 0, MAX: 3}, ]}, {ID: 'CTT', MIN: 1, MAX: 1}, {ID: 'SE', MIN: 1, MAX: 1}, ]} ]

[ "jason.capriotti@gmail.com" ]

jason.capriotti@gmail.com

51086a37acacb82ec4da2e56fe316b05793a58d1

2335e7d1c10d800abb10b4432465f29a4456548d

/setup.py

721f1b8d75682c30d9183bd741ff5d826e50db7d

[ "LicenseRef-scancode-warranty-disclaimer", "EFL-2.0" ]

permissive

deathbybandaid/Sopel-StartupMonologue

48a7e85ca117c630cf8039af76a0bbaea91ff5a1

f495344cee379e66ec5022e1e7edf15f075c758c

refs/heads/master

2020-05-09T11:18:01.564022

2019-04-27T14:12:38

181,074,314

0

null

UTF-8

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false

1,434

py

# -*- coding: utf-8 -*- from __future__ import print_function import os import sys from setuptools import setup, find_packages if __name__ == '__main__': print('Sopel does not correctly load modules installed with setup.py ' 'directly. Please use "pip install .", or add {}/sopel_modules to ' 'core.extra in your config.'.format( os.path.dirname(os.path.abspath(__file__))), file=sys.stderr) with open('README.md') as readme_file: readme = readme_file.read() with open('NEWS') as history_file: history = history_file.read() with open('requirements.txt') as requirements_file: requirements = [req for req in requirements_file.readlines()] with open('dev-requirements.txt') as dev_requirements_file: dev_requirements = [req for req in dev_requirements_file.readlines()] setup( name='sopel_modules.startupmonologue', version='0.1.0', description='Sopel Startup Monologue displays to all channels that the bot is online', long_description=readme + '\n\n' + history, author='Sam Zick', author_email='sam@deathbybandaid.net', url='https://github.com/deathbybandaid/Sopel-StartupMonologue', packages=find_packages('.'), namespace_packages=['sopel_modules'], include_package_data=True, install_requires=requirements, tests_require=dev_requirements, test_suite='tests', license='Eiffel Forum License, version 2', )

[ "sam@deathbybandaid.net" ]

sam@deathbybandaid.net

55c13d8cf177119f3b0b4ac0b18bc121cc4f8d62

f64e31cb76909a6f7fb592ad623e0a94deec25ae

/tests/test_p1494_parallel_courses_ii.py

dbf8cbae087e98cebaed176c651d916aaa595833

[]

no_license

weak-head/leetcode

365d635cb985e1d154985188f6728c18cab1f877

9a20e1835652f5e6c33ef5c238f622e81f84ca26

refs/heads/main

2023-05-11T14:19:58.205709

2023-05-05T20:57:13

172,853,059

0

1

null

2022-12-09T05:22:32

2019-02-27T05:58:54

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UTF-8

Python

false

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py

# flake8: noqa: F403, F405 import pytest from leetcode.p1494_parallel_courses_ii import * solutions = [ minNumberOfSemesters, ] test_cases = [ ( [ 13, [ [12, 8], [2, 4], [3, 7], [6, 8], [11, 8], [9, 4], [9, 7], [12, 4], [11, 4], [6, 4], [1, 4], [10, 7], [10, 4], [1, 7], [1, 8], [2, 7], [8, 4], [10, 8], [12, 7], [5, 4], [3, 4], [11, 7], [7, 4], [13, 4], [9, 8], [13, 8], ], 9, ], 3, ), ([4, [[2, 1], [3, 1], [1, 4]], 2], 3), ([5, [[2, 1], [3, 1], [4, 1], [1, 5]], 2], 4), ([11, [], 2], 6), ([11, [], 1], 11), ([11, [], 3], 4), ([11, [], 6], 2), ([11, [], 8], 2), ([11, [], 10], 2), ([11, [], 11], 1), ([11, [], 12], 1), ] @pytest.mark.timeout(2) @pytest.mark.parametrize(("args", "expectation"), test_cases) @pytest.mark.parametrize("solution", solutions) def test_solution(args, expectation, solution): assert solution(*args) == expectation

[ "zinchenko@live.com" ]

zinchenko@live.com

78e368fb716111fadb4e8ba88e1ddd8e34f363a5

98b0d740346ad9aecd228b9a8ebb8e818908ce03

/hr-1.py

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[]

no_license

alexisbellido/python-examples

8c63156a2800a584a8aff0909325e38acbe49163

e6a4f61d9cd18588987430007e28ef036971764b

refs/heads/master

2022-10-16T08:28:15.312916

2022-09-30T15:55:31

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null

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def hi(name): return f'Hi, {name}' if __name__ == '__main__': # people = [input().split() for i in range(int(input()))] # print(*name_format(people), sep='\n') #################### people = [ 'John', 'Mike', ] # print(hi(people[0])) # print(hi(people[1])) # print(*hi(people), sep='\n')

[ "alexis@ventanazul.com" ]

alexis@ventanazul.com

9e783b4e701f26b5c214da0138af22e4c3c66562

f2ac9260dfa7483cd54a30700bb952e10acbc1bb

/fit_lr.py

27c2ea1089ad19bf4212c6e4d9de0bab81cb012f

[]

no_license

kudkudak/compound-activity-prediction

94dd9efd2ff7ba5c95ebb71ce1766eb6b8882aac

d55e6ecb4e3de74d40b1a37950449f60df1a2ca4

refs/heads/master

2016-09-15T21:35:54.930142

2015-01-14T13:09:19

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from misc.utils import * from misc.experiment_utils import get_exp_options, print_exp_header, \ save_exp, get_exp_logger, generate_configs, print_exp_name from data_api import prepare_experiment_data, prepare_experiment_data_embedded, get_raw_training_data from sklearn.metrics import matthews_corrcoef, accuracy_score, confusion_matrix from sklearn.neighbors import KNeighborsClassifier from sklearn.preprocessing import MinMaxScaler import sklearn.linear_model def fit_lrs(config_in = None): #### Load config and data #### config = {"protein":0, "fingerprint":4,"n_folds":10, "use_embedding": 1, "K":20, "max_hashes":1000, "seed":0, "C_min":-3, "C_max":7} if config_in is None: config.update(get_exp_options(config)) else: config.update(config_in) D, config_from_data = prepare_experiment_data_embedded(n_folds=10, seed=config["seed"], K=config["K"], \ max_hashes=config["max_hashes"], protein=config["protein"], fingerprint=config["fingerprint"]) config.update(config_from_data) config["C"] = [10.0**(i/float(2)) for i in range(2*config["C_min"],2*(1+config["C_max"]))] print config["C"] logger = get_exp_logger(config) ### Prepare experiment ### E = {"config": config, "experiments":[]} def fit_lr(config): ### Prepare result holders ###b values = {} results = {} monitors = {} E = {"config": config, "results": results, "monitors":monitors, "values":values} ### Print experiment header ### print_exp_name(config) ### Train ### monitors["acc_fold"] = [] monitors["mcc_fold"] = [] monitors["wac_fold"] = [] monitors["cm"] = [] # confusion matrix monitors["clf"] = [] monitors["train_time"] = [] monitors["test_time"] = [] results["mean_acc"] = 0 results["mean_mcc"] = 0 values["transformers"] = [] for fold in D["folds"]: X_train, Y_train, X_test, Y_test = fold["X_train"], fold["Y_train"], fold["X_test"], fold["Y_test"] min_max_scaler = MinMaxScaler() X_train = min_max_scaler.fit_transform(X_train) X_test = min_max_scaler.transform(X_test) clf =sklearn.linear_model.LogisticRegression (C=config["C"], class_weight="auto") tstart = time.time() monitors["train_time"].append(time.time() - tstart) clf.fit(X_train.astype(float), Y_train.astype(float).reshape(-1)) tstart = time.time() Y_pred = clf.predict(X_test.astype(float)) monitors["test_time"].append(time.time() - tstart) acc_fold, mcc_fold = accuracy_score(Y_test, Y_pred), matthews_corrcoef(Y_test, Y_pred) cm = confusion_matrix(Y_test, Y_pred) tp, fn, fp, tn = cm[1,1], cm[1,0], cm[0,1], cm[0,0] monitors["clf"].append(clf) monitors["cm"].append(cm) monitors["wac_fold"].append(0.5*tp/float(tp+fn) + 0.5*tn/float(tn+fp)) monitors["acc_fold"].append(acc_fold) monitors["mcc_fold"].append(mcc_fold) monitors["acc_fold"] = np.array(monitors["acc_fold"]) monitors["mcc_fold"] = np.array(monitors["mcc_fold"]) monitors["wac_fold"] = np.array(monitors["wac_fold"]) results["mean_acc"] = monitors["acc_fold"].mean() results["mean_mcc"] = monitors["mcc_fold"].mean() results["mean_wac"] = monitors["wac_fold"].mean() logger.info(results) return E cv_configs = generate_configs(config, ["C"]) for c in cv_configs: print c E["experiments"].append(fit_lr(c)) save_exp(E) best_e = E["experiments"][0] for e in E["experiments"]: if e["results"]["mean_wac"] > best_e["results"]["mean_wac"]: best_e = e logger.info(best_e) logger.info("Done") if __name__ == "__main__": fit_lrs()

[ "staszek.jastrzebski@gmail.com" ]

staszek.jastrzebski@gmail.com

4fafdb60d2714fc699c55d2ce9bc473bfcffb686

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/Scripts/simulation/situations/complex/university_mixer_situation.py

bdd94a7c82a8c319385d8ae99bf8517a96e6a57b

[ "Apache-2.0" ]

permissive

velocist/TS4CheatsInfo

62195f3333076c148b2a59f926c9fb5202f1c6fb

b59ea7e5f4bd01d3b3bd7603843d525a9c179867

refs/heads/main

2023-03-08T01:57:39.879485

2021-02-13T21:27:38

337,543,310

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null

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py

# uncompyle6 version 3.7.4 # Python bytecode 3.7 (3394) # Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)] # Embedded file name: T:\InGame\Gameplay\Scripts\Server\situations\complex\university_mixer_situation.py # Compiled at: 2019-10-19 01:32:53 # Size of source mod 2**32: 5699 bytes from situations.situation_complex import SituationComplex, CommonInteractionCompletedSituationState, CommonSituationState, SituationComplexCommon, TunableSituationJobAndRoleState, SituationStateData from sims4.tuning.tunable import TunableReference, TunableEnumWithFilter from tag import Tag import services from objects.object_manager import ObjectManager from sims4.tuning.instances import lock_instance_tunables from situations.bouncer.bouncer_request import exclusivity_compare from situations.bouncer.bouncer_types import BouncerExclusivityCategory from situations.situation_types import SituationCreationUIOption from situations.situation import Situation class _MixerParty(CommonSituationState): def timer_expired(self): self._change_state(self.owner.cleanup_party_state()) def on_activate(self, reader=None): super().on_activate(reader) if self.owner.juice_keg is not None: self.owner._claim_object(self.owner.juice_keg.id) class _CleanupJuiceKeg(CommonInteractionCompletedSituationState): def on_activate(self, reader=None): super().on_activate(reader) if self.owner.juice_keg is None: self.owner._self_destruct() def _on_interaction_of_interest_complete(self, **kwargs): self.owner._self_destruct() class _SetupJuiceKeg(CommonInteractionCompletedSituationState): def _on_interaction_of_interest_complete(self, **kwargs): self._change_state(self.owner.mixer_party_state()) class UniversityMixerPartySituation(SituationComplexCommon): INSTANCE_TUNABLES = {'juice_keg_bearer_job_and_role':TunableSituationJobAndRoleState(description='\n The job and role state for the bearer of the juice keg.\n '), 'setup_juice_keg_state':_SetupJuiceKeg.TunableFactory(description='\n The state to bring in the keg bearer and have the juice keg set up on the lot.\n ', display_name='1. Setup Juice Keg State', tuning_group=SituationComplexCommon.SITUATION_STATE_GROUP), 'mixer_party_state':_MixerParty.TunableFactory(description='\n The state to represent the party itself.\n ', display_name='2. Mixer Party State', tuning_group=SituationComplexCommon.SITUATION_STATE_GROUP), 'cleanup_party_state':_CleanupJuiceKeg.TunableFactory(description='\n The state to cleanup the juice keg and end the party\n ', display_name='3. Party Cleanup State', tuning_group=SituationComplexCommon.SITUATION_STATE_GROUP), 'juice_keg_tag':TunableEnumWithFilter(description='\n Tag used to find the juice keg supplied by the situation.\n ', tunable_type=Tag, default=Tag.INVALID, invalid_enums=Tag.INVALID, filter_prefixes=('func', ))} REMOVE_INSTANCE_TUNABLES = Situation.NON_USER_FACING_REMOVE_INSTANCE_TUNABLES def __init__(self, *args, **kwargs): (super().__init__)(*args, **kwargs) self._juice_keg_object_id = None def start_situation(self): super().start_situation() if self.juice_keg is not None: self._claim_object(self.juice_keg.id) self._change_state(self.setup_juice_keg_state()) @classmethod def _states(cls): return (SituationStateData(1, _SetupJuiceKeg, factory=(cls.setup_juice_keg_state)), SituationStateData(2, _MixerParty, factory=(cls.mixer_party_state)), SituationStateData(3, _CleanupJuiceKeg, factory=(cls.cleanup_party_state))) @classmethod def _get_tuned_job_and_default_role_state_tuples(cls): return [(cls.juice_keg_bearer_job_and_role.job, cls.juice_keg_bearer_job_and_role.role_state)] @classmethod def default_job(cls): pass @property def juice_keg(self): object_manager = services.object_manager() juice_keg = None if self._juice_keg_object_id is not None: juice_keg = object_manager.get(self._juice_keg_object_id) if juice_keg is None: if self.juice_keg_bearer is not None: for obj in object_manager.get_objects_with_tag_gen(self.juice_keg_tag): if obj.get_sim_owner_id() is self.juice_keg_bearer.id: juice_keg = obj self._juice_keg_object_id = juice_keg.id break return juice_keg @property def juice_keg_bearer(self): sim = next(self.all_sims_in_job_gen(self.juice_keg_bearer_job_and_role.job), None) return sim lock_instance_tunables(UniversityMixerPartySituation, exclusivity=(BouncerExclusivityCategory.NORMAL), creation_ui_option=(SituationCreationUIOption.NOT_AVAILABLE))

[ "cristina.caballero2406@gmail.com" ]

cristina.caballero2406@gmail.com

2a6ed3ab36186dc4b2907c6eccfff147841622dd

bc28f8fe941caf281261afa1641868e743ecb5ab

/Google_APAC_Round_E/Beautiful_Numbers/Beautiful_Numbers.py

07ce6d570af05b0e1e80e6cd90d4524fcd142a89

[]

no_license

anubhavshrimal/CompetitiveProgrammingInPython

9fc6949fb3cd715cfa8544c17a63ffbe52677b37

2692c446d49ec62d4967ed78a7973400db7ce981

refs/heads/master

2021-07-05T08:17:15.182154

2018-05-29T02:26:25

60,554,340

7

6

null

2021-05-24T17:46:16

2016-06-06T19:18:27

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Python

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465

py

import numpy as np test = int(input()) for t in range(1, test+1): num = int(input()) n1, n2 = abs(np.roots([1, 1, -(num-1)])) if int(n1) != n1 or int(n2)!= n2: ans = num-1 else: if n1 == 1 or n1 == -1: ans = n2 elif n2 == 1 or n2 == -1: ans = n1 else: if n2 > n1: ans = n1 else: ans = n2 print('Case #'+str(t)+':',str(int(ans)))

[ "anubhavshrimal@gmail.com" ]

anubhavshrimal@gmail.com

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/(0, '')/py/fc_session.py

751c6d3892c8e00fd0baf22a85673c65224e1427

[]

no_license

Dyutee/test

345adcd1769cba0f468090bcc311f4d379ea5f1e

b8b3718922bafbac1bad3802f6c885d777e1bb08

refs/heads/master

2021-01-12T04:19:45.511927

2016-12-29T07:25:29

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0

null

UTF-8

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false

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py

#!/usr/bin/python import cgitb, sys, header, common_methods cgitb.enable() sys.path.append('/var/nasexe/storage') import storage_op import sys,os from lvm_infos import * from functions import * import san_disk_funs check_fc = san_disk_funs.fc_target_status(); fc_target=san_disk_funs.fc_list_targets() fc_ip = '' ses = '' ########### FC Session ########################## for session_tar in fc_target: #print 'Session Target:'+str(session_tar) #print '<br/>' #print 'Sess Tar:'+str(session_tar) #print '<br/>' ses=san_disk_funs.fc_session(session_tar) #print 'FC SESSION Info:'+str(sess) import left_nav #if (str(check_fc).find("'1'") > 0): if (check_fc !=[]): print print """  <div class="rightsidecontainer"> <div class="insidepage-heading">Fc >> <span class="content">Fc Session Information</span></div>  <div class="searchresult-container"> <div class="infoheader"> <div id="tabs"> <ul> <li><a href="#tabs-1">Fc Session</a></li> </ul> <div id="tabs-1">  <div class="form-container"> <div class="topinputwrap-heading">Fc Session Information </div> <div class="inputwrap"> <div class="formrightside-content"> <form name = 'add_info' method = 'POST'> <table width = "680" border = "1" cellspacing = "0" cellpadding = "0" name = 'disp_tables' id = 'id_target_info' style ="border-style:ridge;">""" print"""<tr style = 'background-color:#999999; font-weight: bold;'> <td height = "35px" valign = "middle" style = 'color: #FFF;'>Fc Target</td> <td height = "35px" valign = "middle" style = 'color: #FFF;'>Connected Client</td> </tr>""" #print fc_target if(ses !=''): for tar_info in fc_target: print"""<tr>  <td class = "table_content" height = "35px" valign = "middle">""" print""" <font color ="darkred"><b>"""+tar_info+"""</b></font>""" print """</td>""" print"""<td class = "table_content" height = "35px" valign = "middle" style="font-family: Tahoma;text-decoration:blink;">""" sesion_tar =sess=san_disk_funs.fc_session(tar_info) replace_sess_nm = str(sesion_tar).replace('[]', '') replace_sess_nm1 = str(replace_sess_nm).replace('[', '') replace_sess_nm2 = str(replace_sess_nm1).replace(']', '') replace_session_name = str(replace_sess_nm2).replace("'", '') #print replace_session_name if(replace_session_name!=''): print"""<font color = 'darkgreen'><b>"""+replace_session_name+"""</b></font></td>""" else: print """ <marquee behavior="alternate" direction ="right"><b><font size="3">There is no Session for this client</font></b></marquee> </td> """ else: print"""<tr> <td colspan = '3' align = 'center' height="50px;"> <marquee behavior="alternate" direction= "right"><b><font size="5">No Information is available</font></b></marquee> </td> </tr>""" print""" </table> </form> </div>""" print""" </div> </div>  </div> </div> </div> </div>    </div>  </div>  <div class="insidefooter footer_content">© 2013 Opslag FS2</div>  </div>  </div>""" else: print "<div style = 'margin-left: auto; margin-right: auto; text-align: center; vertical-align: center; color: darkred; width: 65%; font: 16px Arial;'><br/><br/><br/><b>Check the 'Enable/Disable FC' option in Maintenance -></b><a href= 'main.py?page=sr'><span style='text-decoration:underline;'>Services</span></a>.</div>" print"""  </body> </html> """

[ "dyuteemoy46@gmail.com" ]

dyuteemoy46@gmail.com

d3c0c2a4b226f7e7de023845098715c9f079029c

6484cdf98189f5f5736950c81a9d8d30e0f0c0db

/notifications/serializers.py

488db18520ad943f4fc0b50ec121588e37fe25bd

[]

no_license

AlexFrundin/great_app_example

e0e9c91f06bfba76058f3af5b113a9399945bf6c

23225e7e88f2ee51359d23cac2200b32b8bd6e20

refs/heads/main

2023-05-30T15:02:22.035811

2021-06-17T06:40:06

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from rest_framework import serializers from .models import Notification # This class is use for serialize the data of user profile details class NoitifcationListSerializer(serializers.ModelSerializer): created_on = serializers.DateTimeField(format="%d %b %Y") class Meta: model = Notification fields = ( 'id', 'refrence_id', 'event_id', 'title', 'message', 'is_read', 'is_deleted', 'created_on')

[ "aleksey.frundin@gmail.com" ]

aleksey.frundin@gmail.com

0a6a1c337560a7be7affe868a65af85fb574f072

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/LeetCode_30days_challenge/2021/February/Peeking Iterator.py

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[]

no_license

MarianDanaila/Competitive-Programming

dd61298cc02ca3556ebc3394e8d635b57f58b4d2

3c5a662e931a5aa1934fba74b249bce65a5d75e2

refs/heads/master

2023-05-25T20:03:18.468713

2023-05-16T21:45:08

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# Below is the interface for Iterator, which is already defined for you. # # class Iterator: # def __init__(self, nums): # """ # Initializes an iterator object to the beginning of a list. # :type nums: List[int] # """ # # def hasNext(self): # """ # Returns true if the iteration has more elements. # :rtype: bool # """ # # def next(self): # """ # Returns the next element in the iteration. # :rtype: int # """ class PeekingIterator: def __init__(self, iterator): """ Initialize your data structure here. :type iterator: Iterator """ self.iterator = iterator if self.iterator.hasNext(): self.buffer = self.iterator.next() else: self.buffer = None def peek(self): """ Returns the next element in the iteration without advancing the iterator. :rtype: int """ return self.buffer def next(self): """ :rtype: int """ tmp = self.buffer if self.iterator.hasNext(): self.buffer = self.iterator.next() else: self.buffer = None return tmp def hasNext(self): """ :rtype: bool """ return self.buffer is not None # Your PeekingIterator object will be instantiated and called as such: # iter = PeekingIterator(Iterator(nums)) # while iter.hasNext(): # val = iter.peek() # Get the next element but not advance the iterator. # iter.next() # Should return the same value as [val].

[ "mariandanaila01@gmail.com" ]

mariandanaila01@gmail.com

050fbf37649611034d2d17fa1d8f6eaaec527045

99b784550a6d306147c022c8d829800b0fbb8c68

/Part_1_Basics/Chapter_9_Classes/number_served.py

c4bf3cff3db3a73bcf0555f68427754403f58a40

[]

no_license

apuya/python_crash_course

116d6598f656d8fed0b4184edbce8e996cd0f564

0b2e8a6e9849a198cfb251706500a919d6f51fe7

refs/heads/main

2023-06-03T22:41:03.203889

2021-06-16T04:07:28

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0

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UTF-8

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# Python Crash Course: A Hands-On, Project-Based Introduction To Programming # # Name: Mark Lester Apuya # Date: 06/12/2021 # # Chapter 9: Classes # # Exercise 9.4 Number Served: # Start with your program from Exercise 9-1 (page 162). Add an attribute # called number_served with a default value of 0. Create an instance called # restaurant from this class. Print the number of customers the restaurant has # served, and then change this value and print it again. # Add a method called set_number_served() that lets you set the number of # customers that have been served. Call this method with a new number and print # the value again. # Add a method called increment_number_served() that lets you increment the # number of customers who’ve been served. Call this method with any number you # like that could represent how many customers were served in, say, a day of # business. class Restaurant: """ Restaurant information. """ def __init__(self, restaurant_name, cuisine_type): """ Initialize restuarant name and cuisine type """ self.restaurant_name = restaurant_name self.cuisine_type = cuisine_type self.number_served = 0 def discribe_restaurant(self): """ Prints restaurant information. """ print(f"\n{self.restaurant_name} serves {self.cuisine_type}") def open_restaurant(self): """ Prints that the restaurant is open. """ print(f"\n{self.restaurant_name} is open.") def set_number_served(self, number_served): """ Set the number of customers served. """ self.number_served = number_served def increment_number_served(self, number_served): """ Increment the number of customers who have been served. """ self.number_served += number_served restaurant = Restaurant('Olive Garden', 'Italian') restaurant.discribe_restaurant() print(f"\nNumber served: {restaurant.number_served}") restaurant.number_served = 22 print(f"\nNumber served: {restaurant.number_served}") restaurant.set_number_served(20) print(f"\nNumber served: {restaurant.number_served}") restaurant.increment_number_served(2) print(f"\nNumber served: {restaurant.number_served}")

[ "contact@mapuya.com" ]

contact@mapuya.com

b91cb3c12a2949a4360518e9abecbc11298c03dd

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/third_party/blink/web_tests/external/wpt/tools/wptrunner/wptrunner/environment.py

2493f1fa4407a39aad3ac3c2a724322b75b0944a

[ "BSD-3-Clause", "LGPL-2.0-or-later", "GPL-1.0-or-later", "MIT", "Apache-2.0", "LicenseRef-scancode-warranty-disclaimer", "LGPL-2.1-only", "GPL-2.0-only", "LGPL-2.0-only", "BSD-2-Clause", "LicenseRef-scancode-other-copyleft", "LicenseRef-scancode-w3c-03-bsd-license" ]

permissive

byte4byte/cloudretro

efe4f8275f267e553ba82068c91ed801d02637a7

4d6e047d4726c1d3d1d119dfb55c8b0f29f6b39a

refs/heads/master

2023-02-22T02:59:29.357795

2021-01-25T02:32:24

197,294,750

1

2

BSD-3-Clause

2019-09-11T19:35:45

2019-07-17T01:48:48

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py

import json import os import multiprocessing import signal import socket import sys import time from mozlog import get_default_logger, handlers, proxy from .wptlogging import LogLevelRewriter here = os.path.split(__file__)[0] repo_root = os.path.abspath(os.path.join(here, os.pardir, os.pardir, os.pardir)) sys.path.insert(0, repo_root) from tools import localpaths # noqa: flake8 from wptserve.handlers import StringHandler serve = None def do_delayed_imports(logger, test_paths): global serve serve_root = serve_path(test_paths) sys.path.insert(0, serve_root) failed = [] try: from tools.serve import serve except ImportError: failed.append("serve") if failed: logger.critical( "Failed to import %s. Ensure that tests path %s contains web-platform-tests" % (", ".join(failed), serve_root)) sys.exit(1) def serve_path(test_paths): return test_paths["/"]["tests_path"] class TestEnvironmentError(Exception): pass class TestEnvironment(object): def __init__(self, test_paths, testharness_timeout_multipler, pause_after_test, debug_info, options, ssl_config, env_extras): """Context manager that owns the test environment i.e. the http and websockets servers""" self.test_paths = test_paths self.server = None self.config_ctx = None self.config = None self.testharness_timeout_multipler = testharness_timeout_multipler self.pause_after_test = pause_after_test self.test_server_port = options.pop("test_server_port", True) self.debug_info = debug_info self.options = options if options is not None else {} self.cache_manager = multiprocessing.Manager() self.stash = serve.stash.StashServer() self.env_extras = env_extras self.env_extras_cms = None self.ssl_config = ssl_config def __enter__(self): self.config_ctx = self.build_config() self.config = self.config_ctx.__enter__() self.stash.__enter__() self.cache_manager.__enter__() self.setup_server_logging() assert self.env_extras_cms is None, ( "A TestEnvironment object cannot be nested") self.env_extras_cms = [] for env in self.env_extras: cm = env(self.options, self.config) cm.__enter__() self.env_extras_cms.append(cm) self.servers = serve.start(self.config, self.get_routes()) if self.options.get("supports_debugger") and self.debug_info and self.debug_info.interactive: self.ignore_interrupts() return self def __exit__(self, exc_type, exc_val, exc_tb): self.process_interrupts() for scheme, servers in self.servers.iteritems(): for port, server in servers: server.kill() for cm in self.env_extras_cms: cm.__exit__(exc_type, exc_val, exc_tb) self.env_extras_cms = None self.cache_manager.__exit__(exc_type, exc_val, exc_tb) self.stash.__exit__() self.config_ctx.__exit__(exc_type, exc_val, exc_tb) def ignore_interrupts(self): signal.signal(signal.SIGINT, signal.SIG_IGN) def process_interrupts(self): signal.signal(signal.SIGINT, signal.SIG_DFL) def build_config(self): override_path = os.path.join(serve_path(self.test_paths), "config.json") config = serve.ConfigBuilder() config.ports = { "http": [8000, 8001], "https": [8443], "ws": [8888], "wss": [8889], } if os.path.exists(override_path): with open(override_path) as f: override_obj = json.load(f) config.update(override_obj) config.check_subdomains = False ssl_config = self.ssl_config.copy() ssl_config["encrypt_after_connect"] = self.options.get("encrypt_after_connect", False) config.ssl = ssl_config if "browser_host" in self.options: config.browser_host = self.options["browser_host"] if "bind_address" in self.options: config.bind_address = self.options["bind_address"] config.server_host = self.options.get("server_host", None) config.doc_root = serve_path(self.test_paths) return config def setup_server_logging(self): server_logger = get_default_logger(component="wptserve") assert server_logger is not None log_filter = handlers.LogLevelFilter(lambda x:x, "info") # Downgrade errors to warnings for the server log_filter = LogLevelRewriter(log_filter, ["error"], "warning") server_logger.component_filter = log_filter server_logger = proxy.QueuedProxyLogger(server_logger) try: #Set as the default logger for wptserve serve.set_logger(server_logger) serve.logger = server_logger except Exception: # This happens if logging has already been set up for wptserve pass def get_routes(self): route_builder = serve.RoutesBuilder() for path, format_args, content_type, route in [ ("testharness_runner.html", {}, "text/html", "/testharness_runner.html"), (self.options.get("testharnessreport", "testharnessreport.js"), {"output": self.pause_after_test, "timeout_multiplier": self.testharness_timeout_multipler, "explicit_timeout": "true" if self.debug_info is not None else "false"}, "text/javascript;charset=utf8", "/resources/testharnessreport.js")]: path = os.path.normpath(os.path.join(here, path)) # Note that .headers. files don't apply to static routes, so we need to # readd any static headers here. headers = {"Cache-Control": "max-age=3600"} route_builder.add_static(path, format_args, content_type, route, headers=headers) data = b"" with open(os.path.join(repo_root, "resources", "testdriver.js"), "rb") as fp: data += fp.read() with open(os.path.join(here, "testdriver-extra.js"), "rb") as fp: data += fp.read() route_builder.add_handler(b"GET", b"/resources/testdriver.js", StringHandler(data, "text/javascript")) for url_base, paths in self.test_paths.iteritems(): if url_base == "/": continue route_builder.add_mount_point(url_base, paths["tests_path"]) if "/" not in self.test_paths: del route_builder.mountpoint_routes["/"] return route_builder.get_routes() def ensure_started(self): # Pause for a while to ensure that the server has a chance to start total_sleep_secs = 30 each_sleep_secs = 0.5 end_time = time.time() + total_sleep_secs while time.time() < end_time: failed = self.test_servers() if not failed: return time.sleep(each_sleep_secs) raise EnvironmentError("Servers failed to start: %s" % ", ".join("%s:%s" % item for item in failed)) def test_servers(self): failed = [] host = self.config["server_host"] for scheme, servers in self.servers.iteritems(): for port, server in servers: if self.test_server_port: s = socket.socket() s.settimeout(0.1) try: s.connect((host, port)) except socket.error: failed.append((host, port)) finally: s.close() if not server.is_alive(): failed.append((scheme, port)) return failed

[ "commit-bot@chromium.org" ]

commit-bot@chromium.org

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/Bit++.py

b021896ca96ab26196e29a12c95ef313ebda47fc

[]

no_license

joydas65/Codeforces-Problems

8870cbbf1db9fa12b961cee7aaef60960af714ae

eb0f5877d0fede95af18694278029add7385973d

refs/heads/master

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2023-06-17T07:28:24

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ans = 0 for _ in range(int(input())): s = input() if s[0] == '+' or '+' in s: ans += 1 elif s[0] == '-' or '-' in s: ans -= 1 print(ans)

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joydas65.noreply@github.com

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/jitai/events/EventTemplate.py

e85c491ebb1b21082dabbe5b4fef53d7216dc3b1

[]

no_license

koike-ya/research

3cae0be17a8871d5782842510676c05a75627c49

3ff99c56c8e5d6c57ee65f1bca2431f3dc6f6593

refs/heads/master

2021-10-12T03:13:20.645738

2019-01-26T07:12:58

null

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null

UTF-8

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from abc import ABC from datetime import datetime, timedelta import pandas as pd from jitai.src.utils import set_hour_minute class EventTemplate(ABC): def __init__(self, param, user_info, ema, logger): self.param = param self.ema = ema self.name = param["condition_name"] self.ema_content = param["ema_content"] self.user_info = user_info self.logger = logger self.exists = param["exists"] self.ema_time = self.param["ema_time"] # param["ema_time]"の値はdict def _init_ema_content(self): if not self.ema_content == "none": self.threshold = self.param["threshold"] self.more_or_less = self.param["more_or_less"] def _init_ema_time(self): # 時間に関する設定 if list(self.ema_time.keys())[0] == "set_time": from_ = datetime.strptime(self.ema_time["set_time"]["from"], "%H:%M") self.ema_from_ = set_hour_minute(datetime.today(), from_) to = datetime.strptime(self.ema_time["set_time"]["to"], "%H:%M") self.ema_to = set_hour_minute(datetime.today(), to) if list(self.ema_time.keys())[0] == "interval": t = datetime.strptime(self.ema_time["interval"]["value"], "%H:%M") self.ema_from_ = datetime.today() - timedelta(hours=t.hour, minutes=t.minute) self.ema_to = datetime.today() def _validate_params(self): # TODO 与えられたパラメータが適切でないときにエラーを返す # 例えば、こちらが想定するquestionの中に、self.ema_contentで指定された要素がない場合とか pass def _extract_about_time(self): self.ema = self.ema[(self.ema["end"] >= self.ema_from_) & (self.ema["end"] <= self.ema_to)] def _ema_content_not_none(self): # このメソッドはDAMSの項目のみ有効, それ以外の場合はoverrideすること content_df = self.ema[self.ema["question"] == self.ema_content] content_df = content_df.astype({"answer": int}) if not content_df.empty: if self.more_or_less == "more": self.ema = content_df[content_df["answer"] >= self.threshold] elif self.more_or_less == "less": self.ema = content_df[content_df["answer"] < self.threshold] else: self.ema = pd.DataFrame(columns=self.ema) def get_depend_class_last_ema_time(self): # TODO 要テスト. use=Falseに対して、これで本当にロジックが通るのか. if hasattr(self.depend_class, "use"): res = self.depend_class.ema.run() depend_ema = self.depend_class.ema if depend_ema.empty: self.ema = pd.DataFrame() return 0 depend_ema.reset_index(drop=True, inplace=True) return depend_ema.loc[depend_ema.shape[0] - 1, "end"] def _depend_condition(self): # 従属関係の条件はここに記述する. self.ema_from_ = self.get_depend_class_last_ema_time() t = datetime.strptime(self.param["ema_time"]["interval"]["value"], "%H:%M") if self.ema_from_ != 0 and datetime.today() >= self.ema_from_ + timedelta(hours=t.hour, minutes=t.minute): return True else: return False def _run(self): if not self.ema.empty: self._extract_about_time() if not self.ema.empty and not self.ema_content == "none": self._ema_content_not_none() def run(self): if hasattr(self, "depend_class"): fill_cond_flag = self._depend_condition() # 〇〇時間経っていない場合にFalseが返る if not fill_cond_flag: return False self._run() if self.exists: return True if not self.ema.empty else False else: return True if self.ema.empty else False def add_depend_class(self, depend_class): self.depend_class = depend_class def copy(self): return EventTemplate(self.param, self.user_info, self.ema, self.logger)

[ "makeffort134@gmail.com" ]

makeffort134@gmail.com

2527f4d9fd54b3e27de63af10a0a6823676bffc5

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/tests/unit/util/iterables.py

454eaf3914e1ade640b62d055b97606ada1ab216

[ "MIT" ]

permissive

ethanjli/phylline

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refs/heads/master

2021-01-01T23:56:41.018911

2020-02-25T05:07:34

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"""Test the util.iterables module.""" # Builtins # Packages from phylline.util.iterables import make_collection, remove_none def test_make_collection_singleton(): """Test whether the make_collection function makes collections from singletons.""" assert make_collection(42) != 42 assert make_collection(42) == [42] assert make_collection(42) != (42,) assert make_collection(42, type=tuple) != 42 assert make_collection(42, type=tuple) != [42] assert make_collection(42, type=tuple) == (42,) def test_make_collection_iterable(): """Test whether the make_collection function makes collections from iterables.""" assert make_collection(range(5)) != range(5) assert make_collection(range(5)) == list(range(5)) assert make_collection(range(5)) != tuple(range(5)) assert make_collection(range(5), type=tuple) != range(5) assert make_collection(range(5), type=tuple) != list(range(5)) assert make_collection(range(5), type=tuple) == tuple(range(5)) def test_remove_none(): """Test whether remove_none removes Nones correctly.""" assert len(tuple(range(5))) == len(tuple(remove_none(range(5)))) for (initial, filtered) in zip(range(5), remove_none(range(5))): assert initial == filtered assert len(tuple(remove_none([1, 2, None, 3]))) == 3 assert tuple(remove_none([1, 2, None, 3])) == (1, 2, 3)

[ "lietk12@gmail.com" ]

lietk12@gmail.com

b86f37f64be3a4a6a783e0cc8de77ab087a399bf

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/project-addons/mail_ph/models/__init__.py

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Comunitea/CMNT_010_15_PHA

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# -*- coding: utf-8 -*- # © 2020 Pharmadus I.T. # License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl). from . import res_partner, sale_order, purchase_order, hr_holidays, \ account_invoice, res_company, stock, mail_compose_message, mail_mail

[ "oscar.salvador@pharmadus.com" ]

oscar.salvador@pharmadus.com

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/mymusic/migrations/0005_album_image_url.py

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[]

no_license

momentum-morehouse/django-music-bettinacjohnson

ec3311b41df1c3c09a3993fb476c06d715a87405

c52f24d2f9faec73b0cad4139ebfe002bd819766

refs/heads/master

2022-11-27T02:04:49.847168

2020-07-16T23:46:13

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# Generated by Django 3.0.8 on 2020-07-15 20:21 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('mymusic', '0004_auto_20200714_1510'), ] operations = [ migrations.AddField( model_name='album', name='image_url', field=models.TextField(blank=True, null=True), ), ]

[ "replituser@example.com" ]

replituser@example.com

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/cython_sample/setup.py

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[]

no_license

miyamotok0105/python_sample

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refs/heads/master

2022-12-19T22:53:44.949782

2020-05-05T05:09:22

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2022-11-22T02:22:55

2017-02-12T11:15:08

Jupyter Notebook

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#! -*- coding: utf-8 -*- #python setup.py build_ext --inplace from Cython.Build import cythonize from distutils.core import setup from distutils.extension import Extension from Cython.Distutils import build_ext import numpy as np try: numpy_include = np.get_include() except AttributeError: numpy_include = np.get_numpy_include() ext_modules = [ Extension( "sample1", ["sample1.pyx"], include_dirs=[numpy_include] ) ] setup( name='sample1', ext_modules=cythonize(ext_modules), ) # ext_modules = [ # Extension( "sample1", ["sample1.pyx"] ), # ] # setup( # name = "Sample sample1 app", # cmdclass = { "build_ext" : build_ext }, # ext_modules = ext_modules, # )

[ "miyamotok0105@gmail.com" ]

miyamotok0105@gmail.com

60d34638bc1a71aec3b30bdb71943672f3a6594b

88ed6ed99589f7fb8e49aeb6c15bf0d51fe14a01

/026_removeDuplicates.py

5e8dbfc5edb96029cb37d413ce206813159f712a

[]

no_license

ryeLearnMore/LeetCode

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04ec1eb720474a87a2995938743f05e7ad5e66e3

refs/heads/master

2020-04-07T19:02:43.171691

2019-06-23T15:09:19

158,634,176

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py

#!/usr/bin/env python #coding:utf-8 #@author: rye #@time: 2019/2/18 17:15 ''' 很快就写完了。。。算是最近写题最快的一个 ''' class Solution: def removeDuplicates(self, nums): """ :type nums: List[int] :rtype: int """ i = 0 j = 0 while j < len(nums): if nums[j] == nums[i]: j += 1 else: nums[i + 1] = nums[j] i += 1 j += 1 return len(nums[:i + 1]) if __name__ == '__main__': nums1 = [0,0,0,1,1,1,2,2,3,3,4] print(Solution().removeDuplicates(nums1))

[ "noreply@github.com" ]

ryeLearnMore.noreply@github.com

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/venv/Lib/site-packages/pandas/tests/series/test_duplicates.py

6577b3e54b7b981a4d18a17b1a5eb28849a224fe

[]

no_license

msainTesting/TwitterAnalysis

5e1646dbf40badf887a86e125ef30a9edaa622a4

b1204346508ba3e3922a52380ead5a8f7079726b

refs/heads/main

2023-08-28T08:29:28.924620

2021-11-04T12:36:30

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import numpy as np import pytest from pandas import Categorical, Series import pandas.util.testing as tm def test_value_counts_nunique(): # basics.rst doc example series = Series(np.random.randn(500)) series[20:500] = np.nan series[10:20] = 5000 result = series.nunique() assert result == 11 # GH 18051 s = Series(Categorical([])) assert s.nunique() == 0 s = Series(Categorical([np.nan])) assert s.nunique() == 0 def test_unique(): # GH714 also, dtype=float s = Series([1.2345] * 100) s[::2] = np.nan result = s.unique() assert len(result) == 2 s = Series([1.2345] * 100, dtype="f4") s[::2] = np.nan result = s.unique() assert len(result) == 2 # NAs in object arrays #714 s = Series(["foo"] * 100, dtype="O") s[::2] = np.nan result = s.unique() assert len(result) == 2 # decision about None s = Series([1, 2, 3, None, None, None], dtype=object) result = s.unique() expected = np.array([1, 2, 3, None], dtype=object) tm.assert_numpy_array_equal(result, expected) # GH 18051 s = Series(Categorical([])) tm.assert_categorical_equal(s.unique(), Categorical([]), check_dtype=False) s = Series(Categorical([np.nan])) tm.assert_categorical_equal(s.unique(), Categorical([np.nan]), check_dtype=False) def test_unique_data_ownership(): # it works! #1807 Series(Series(["a", "c", "b"]).unique()).sort_values() @pytest.mark.parametrize( "data, expected", [ (np.random.randint(0, 10, size=1000), False), (np.arange(1000), True), ([], True), ([np.nan], True), (["foo", "bar", np.nan], True), (["foo", "foo", np.nan], False), (["foo", "bar", np.nan, np.nan], False), ], ) def test_is_unique(data, expected): # GH11946 / GH25180 s = Series(data) assert s.is_unique is expected def test_is_unique_class_ne(capsys): # GH 20661 class Foo: def __init__(self, val): self._value = val def __ne__(self, other): raise Exception("NEQ not supported") with capsys.disabled(): li = [Foo(i) for i in range(5)] s = Series(li, index=[i for i in range(5)]) s.is_unique captured = capsys.readouterr() assert len(captured.err) == 0 @pytest.mark.parametrize( "keep, expected", [ ("first", Series([False, False, False, False, True, True, False])), ("last", Series([False, True, True, False, False, False, False])), (False, Series([False, True, True, False, True, True, False])), ], ) def test_drop_duplicates(any_numpy_dtype, keep, expected): tc = Series([1, 0, 3, 5, 3, 0, 4], dtype=np.dtype(any_numpy_dtype)) if tc.dtype == "bool": pytest.skip("tested separately in test_drop_duplicates_bool") tm.assert_series_equal(tc.duplicated(keep=keep), expected) tm.assert_series_equal(tc.drop_duplicates(keep=keep), tc[~expected]) sc = tc.copy() sc.drop_duplicates(keep=keep, inplace=True) tm.assert_series_equal(sc, tc[~expected]) @pytest.mark.parametrize( "keep, expected", [ ("first", Series([False, False, True, True])), ("last", Series([True, True, False, False])), (False, Series([True, True, True, True])), ], ) def test_drop_duplicates_bool(keep, expected): tc = Series([True, False, True, False]) tm.assert_series_equal(tc.duplicated(keep=keep), expected) tm.assert_series_equal(tc.drop_duplicates(keep=keep), tc[~expected]) sc = tc.copy() sc.drop_duplicates(keep=keep, inplace=True) tm.assert_series_equal(sc, tc[~expected]) @pytest.mark.parametrize( "keep, expected", [ ("first", Series([False, False, True, False, True], name="name")), ("last", Series([True, True, False, False, False], name="name")), (False, Series([True, True, True, False, True], name="name")), ], ) def test_duplicated_keep(keep, expected): s = Series(["a", "b", "b", "c", "a"], name="name") result = s.duplicated(keep=keep) tm.assert_series_equal(result, expected) @pytest.mark.parametrize( "keep, expected", [ ("first", Series([False, False, True, False, True])), ("last", Series([True, True, False, False, False])), (False, Series([True, True, True, False, True])), ], ) def test_duplicated_nan_none(keep, expected): s = Series([np.nan, 3, 3, None, np.nan], dtype=object) result = s.duplicated(keep=keep) tm.assert_series_equal(result, expected)

[ "msaineti@icloud.com" ]

msaineti@icloud.com

c019e47f0ff83cf6dcdb0d544128652acf3ae52c

0cf6728548830b42c60e37ea1c38b54d0e019ddd

/Learning_MachineLearning/DeepLearningWithPython/5.3.py

0f1e218f44d0b1287be5fb399e830a0c97bf75a1

[]

no_license

MuSaCN/PythonLearning

8efe166f66f2bd020d00b479421878d91f580298

507f1d82a9228d0209c416626566cf390e1cf758

refs/heads/master

2022-11-11T09:13:08.863712

2022-11-08T04:20:09

299,617,217

2

null

UTF-8

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5,734

py

# Author:Zhang Yuan from MyPackage import * import numpy as np import pandas as pd import matplotlib.pyplot as plt import matplotlib.patches as patches import seaborn as sns import statsmodels.api as sm from scipy import stats #------------------------------------------------------------ __mypath__ = MyPath.MyClass_Path("\\DeepLearningWithPython") # 路径类 myfile = MyFile.MyClass_File() # 文件操作类 myword = MyFile.MyClass_Word() # word生成类 myexcel = MyFile.MyClass_Excel() # excel生成类 mytime = MyTime.MyClass_Time() # 时间类 myplt = MyPlot.MyClass_Plot() # 直接绘图类(单个图窗) mypltpro = MyPlot.MyClass_PlotPro() # Plot高级图系列 myfig = MyPlot.MyClass_Figure(AddFigure=False) # 对象式绘图类(可多个图窗) myfigpro = MyPlot.MyClass_FigurePro(AddFigure=False) # Figure高级图系列 mynp = MyArray.MyClass_NumPy() # 多维数组类(整合Numpy) mypd = MyArray.MyClass_Pandas() # 矩阵数组类(整合Pandas) mypdpro = MyArray.MyClass_PandasPro() # 高级矩阵数组类 myDA = MyDataAnalysis.MyClass_DataAnalysis() # 数据分析类 # myMql = MyMql.MyClass_MqlBackups() # Mql备份类 # myMT5 = MyMql.MyClass_ConnectMT5(connect=False) # Python链接MetaTrader5客户端类 # myDefault = MyDefault.MyClass_Default_Matplotlib() # matplotlib默认设置 # myBaidu = MyWebCrawler.MyClass_BaiduPan() # Baidu网盘交互类 # myImage = MyImage.MyClass_ImageProcess() # 图片处理类 myBT = MyBackTest.MyClass_BackTestEvent() # 事件驱动型回测类 myBTV = MyBackTest.MyClass_BackTestVector() # 向量型回测类 myML = MyMachineLearning.MyClass_MachineLearning() # 机器学习综合类 mySQL = MyDataBase.MyClass_MySQL(connect=False) # MySQL类 mySQLAPP = MyDataBase.MyClass_SQL_APPIntegration() # 数据库应用整合 myWebQD = MyWebCrawler.MyClass_QuotesDownload(tushare=False) # 金融行情下载类 myWebR = MyWebCrawler.MyClass_Requests() # Requests爬虫类 myWebS = MyWebCrawler.MyClass_Selenium(openChrome=False) # Selenium模拟浏览器类 myWebAPP = MyWebCrawler.MyClass_Web_APPIntegration() # 爬虫整合应用类 myEmail = MyWebCrawler.MyClass_Email() # 邮箱交互类 myReportA = MyQuant.MyClass_ReportAnalysis() # 研报分析类 myFactorD = MyQuant.MyClass_Factor_Detection() # 因子检测类 myKeras = MyDeepLearning.MyClass_Keras() # Keras综合类 #------------------------------------------------------------ #%% from tensorflow.keras.applications import VGG16 conv_base = VGG16(weights='imagenet', include_top=False, input_shape=(150, 150, 3)) #%% conv_base.summary() #%% import os import numpy as np original_dataset_dir = os.path.expandvars('%USERPROFILE%')+'\\.kaggle\\dogs-vs-cats' base_dir = original_dataset_dir+'\\cats_and_dogs_small' train_dir = os.path.join(base_dir, 'train') validation_dir = os.path.join(base_dir, 'validation') test_dir = os.path.join(base_dir, 'test') # 使用已知模型快速特征提取 train_features, train_labels = myKeras.extract_features_from_directory(conv_base,train_dir,2000,batch_size=20) validation_features, validation_labels = myKeras.extract_features_from_directory(conv_base,validation_dir,1000,batch_size=20) test_features, test_labels = myKeras.extract_features_from_directory(conv_base,test_dir,1000,batch_size=20) #%% reshapecount = np.array(train_features.shape[1:]).cumprod()[-1] train_features = np.reshape(train_features, (2000, reshapecount)) validation_features = np.reshape(validation_features, (1000, reshapecount)) test_features = np.reshape(test_features, (1000, reshapecount)) #%% from tensorflow.keras import models from tensorflow.keras import layers from tensorflow.keras import optimizers model = models.Sequential() model.add(layers.Dense(256, activation='relu', input_dim=4 * 4 * 512)) model.add(layers.Dropout(0.5)) #（注意要使用 dropout 正则化） model.add(layers.Dense(1, activation='sigmoid')) model.compile(optimizer=optimizers.RMSprop(lr=2e-5), loss='binary_crossentropy', metrics=['acc']) history = model.fit(train_features, train_labels, epochs=30, batch_size=20, validation_data=(validation_features, validation_labels)) myKeras.plot_acc_loss(history) #%% myKeras.clear_session() from tensorflow.keras import models from tensorflow.keras import layers model = models.Sequential() model.add(conv_base) model.add(layers.Flatten()) model.add(layers.Dense(256, activation='relu')) model.add(layers.Dense(1, activation='sigmoid')) #%% model.summary() #%% # 冻结conv_base网络 print('This is the number of trainable weights ' 'before freezing the conv base:', len(model.trainable_weights)) conv_base.trainable = False print('总共有 4 个权重张量，每层2个（主权重矩阵和偏置向量）。', len(model.trainable_weights)) #%% model.compile(loss='binary_crossentropy', optimizer=optimizers.RMSprop(lr=2e-5), metrics=['acc']) model,history = myKeras.cnn2D_fit_from_directory(model,train_dir,validation_dir,augmentation=True,flow_batch_size=20,epochs=30,plot=True) #%% myKeras.plot_acc_loss(history) model.save(base_dir+'\\cats_and_dogs_small_3.h5') #%% conv_base.summary() #%% conv_base = myKeras.fine_tune_model(conv_base,'block5_conv1') #%% model.compile(loss='binary_crossentropy', optimizer=optimizers.RMSprop(lr=1e-5), metrics=['acc']) model,history = myKeras.cnn2D_fit_from_directory(model,train_dir,validation_dir,augmentation=True,flow_batch_size=20,epochs=30,plot=True) #%% model.save(base_dir+'\\cats_and_dogs_small_4.h5') #%% myKeras.cnn2D_evaluate_from_directory(model,test_dir,flow_batch_size=20,steps=50)

[ "39754824+MuSaCN@users.noreply.github.com" ]

39754824+MuSaCN@users.noreply.github.com

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/HakerRank/data_structures/trees/tree_top_view.py

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[]

no_license

lozdan/oj

c6366f450bb6fed5afbaa5573c7091adffb4fa4f

79007879c5a3976da1e4713947312508adef2e89

refs/heads/master

2018-09-24T01:29:49.447076

2018-06-19T14:33:37

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# author: Daniel Lozano # source: HackerRank ( https://www.hackerrank.com ) # problem name: Data Structures: Trees: Top View # problem url: https://www.hackerrank.com/challenges/tree-top-view/problem def topView(root): instance = root if not root: return answer = [instance.data] while instance.left: answer.append(instance.left.data) instance = instance.left answer.reverse() while root.right: answer.append(root.right.data) root = root.right print " ".join(map(str, answer))

[ "lozanodaniel02@gmail.com" ]

lozanodaniel02@gmail.com

314ea5491f976610601bc93def87970f19fa13e6

33e006f5ae711d44d796a0e3ca384caefe1ec299

/Wprowadzenie do algorytmow - ksiazka/rozdzial 2/2.1-2.py

1919575e88d14a8d51ece544f7292e484a60b267

[]

no_license

Cozoob/Algorithms_and_data_structures

959b188f8cef3e6b7b1fd2a6c45a5e169d8f41fe

f786a397964f71e2938d9fd6268d3428e3ed7992

refs/heads/main

2023-08-05T02:23:43.565651

2021-09-17T10:52:14

407,532,105

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null

UTF-8

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py

# Zmodyfikuj INSERTION_SORT tak zeby sortowala w porzadku nierosnacym def insertion_sort(A): for j in range(1, len(A)): key = A[j] # Wstaw A[j] w posortowany ciąg A[1,...,j-1] i = j - 1 while i >= 0 and A[i] < key: A[i + 1] = A[i] i -= 1 A[i + 1] = key return A if __name__ == '__main__': A = [5,2,4,6,1,3] B = [31,41,59,26,41,58] print(A) insertion_sort(A) insertion_sort(B) print(A) print(B)

[ "kozubmarcin10@gmail.com" ]

kozubmarcin10@gmail.com

c62c4a9af1d76050479aa8b61113b12aa938d298

9187131d6a06e4a2cd56a0eb6d20604b38ea2359

/apitest/tp/mail/test_case/page_object/mail_page.py

fd5073f7bbd54dfe0c0487251a04d2b334badf62

[]

no_license

hikaruwin/hikaru

0dc75843047c01023327854798fbf4999e710f57

1675192d4584609bb1f678c2e5a82c06915ab25e

refs/heads/master

2020-03-27T23:33:14.958007

2018-09-04T10:29:40

147,327,361

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UTF-8

Python

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py

# coding: utf-8 from selenium.webdriver.common.action_chains import ActionChains from selenium.webdriver.common.by import By from time import sleep from .base import Base class MailPage(Base): url = '/' login_success_user_loc = (By.ID, 'spnUid') def login_success_user(self): return self.find_element(*self.login_success_user_loc).text

[ "your email" ]

your email

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b61b0a5333814779669320532233ee75327f039f

/xls_proc.py

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[]

no_license

marine0131/attendance_calc

75f6d387e336dfd7ff22fcde5bcb13c96a87c810

e991f30ba7ff88474b2135315b12f360d52ee726

refs/heads/master

2020-03-26T07:52:31.226713

2018-08-14T08:37:25

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UTF-8

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6,994

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#! /usr/bin/env python import xlrd import xlwt import re import datetime import json with open("config.txt", 'r') as f: params = json.load(f) FILE = params["FILE"] MONTH = params['MONTH'] ON_WORK_TIME = params['ON_WORK_TIME'] LUNCH_TIME = params['LUNCH_TIME'] REST_TIME = params['REST_TIME'] AFTERNOON_WORK_TIME = params['AFTERNOON_WORK_TIME'] OFF_WORK_TIME = params['OFF_WORK_TIME'] OVER_WORK_TIME = params['OVER_WORK_TIME'] OVER_TIME = params['OVER_TIME'] def str_to_absmin(t_str): a = list(map(int, t_str.split(':'))) # list() for python3 compatible return a[0]*60 + a[1] def duration(start, end): return str_to_absmin(end) - str_to_absmin(start) def proc_time(time_list, is_weekend=False): if len(time_list) == 0: return "", "~", 0, 0 if len(time_list) == 1: return "", time_list[0]+"~", 0, 0 start = time_list[0] end = time_list[-1] start_min = str_to_absmin(start) end_min = str_to_absmin(end) tag = "" start_end = start + "~" + end work_duration = 0 over_duration = 0 if is_weekend: over_duration = duration(start, end) over_duration = round(over_duration/60.0, 1) # * 2)/2.0 return tag, start_end, work_duration, over_duration else: morning_work_min = duration(ON_WORK_TIME, LUNCH_TIME) afternoon_work_min = duration(AFTERNOON_WORK_TIME, OFF_WORK_TIME) regular_work_min = morning_work_min + afternoon_work_min if start_min <= str_to_absmin(ON_WORK_TIME): # check in regular if end_min > str_to_absmin(OVER_TIME): # work over time work_duration = regular_work_min over_duration = duration(OVER_WORK_TIME, end) elif end_min >= str_to_absmin(OFF_WORK_TIME): # regular work work_duration = regular_work_min elif end_min >= str_to_absmin(AFTERNOON_WORK_TIME): # work over lunch work_duration = morning_work_min + duration(AFTERNOON_WORK_TIME, end) elif end_min >= str_to_absmin(LUNCH_TIME): # work whole morning work_duration = morning_work_min else: # work only morning work_duration = duration(ON_WORK_TIME, end) elif start_min > str_to_absmin(ON_WORK_TIME) and start_min <= str_to_absmin(LUNCH_TIME): # late check in morning late = start_min - str_to_absmin(ON_WORK_TIME) tag = "late: " + str(late) + "min" if late < 30: # late but worktime is full late = 0 start = ON_WORK_TIME if late > 60: tag = "absence: " + str(late) + "min" if end_min > str_to_absmin(OVER_TIME): # work over time work_duration = regular_work_min - late over_duration = duration(OVER_WORK_TIME, end) elif end_min > str_to_absmin(OFF_WORK_TIME): # regular work work_duration = regular_work_min - late elif end_min > str_to_absmin(AFTERNOON_WORK_TIME): # work over lunch work_duration = duration(start, LUNCH_TIME) + duration(AFTERNOON_WORK_TIME, end) elif end_min >= str_to_absmin(LUNCH_TIME): # work whole morning work_duration = duration(start, LUNCH_TIME) else: # work only morning work_duration = duration(start, end) # check in lunchtime elif start_min > str_to_absmin(LUNCH_TIME) and start_min < str_to_absmin(AFTERNOON_WORK_TIME): tag = "absence: " + str(morning_work_min) + "min" if end_min > str_to_absmin(OVER_TIME): # work over time work_duration = afternoon_work_min over_duration = duration(OVER_WORK_TIME, end) elif end_min > str_to_absmin(OFF_WORK_TIME): # regular work work_duration = afternoon_work_min elif end_min > str_to_absmin(AFTERNOON_WORK_TIME): # work over lunch work_duration = duration(start, end) else: pass # check in afternoon elif start_min > str_to_absmin(AFTERNOON_WORK_TIME) and start_min <= str_to_absmin(OFF_WORK_TIME): # check in afternoon tag = "absence: morning" if end_min > str_to_absmin(OVER_TIME): # work over time work_duration = duration(start, OFF_WORK_TIME) over_duration = duration(OVER_WORK_TIME, end) elif end_min > str_to_absmin(OFF_WORK_TIME): # regular work work_duration = duration(start, OFF_WORK_TIME) else: work_duration = duration(start, end) else: # check in evening if end_min > str_to_absmin(OVER_TIME): # work over time over_duration = duration(OVER_WORK_TIME, end) else: pass work_duration = round(work_duration/60.0, 1) # * 2)/2.0 over_duration = round(over_duration/60.0, 1) # * 2)/2.0 return tag, start_end, work_duration, over_duration def check_weekend(day): weekenum = ["Mon", "Tus", "Wed", "Thu", "Fri", "Sat", "Sun"] year_month = MONTH.split('/') d = datetime.date(int(year_month[0]), int(year_month[1]), int(day)) if d.weekday() == 5 or d.weekday() == 6: return True, weekenum[d.weekday()] else: return False, weekenum[d.weekday()] if __name__ == "__main__": src_book = xlrd.open_workbook(FILE) src_sheet = src_book.sheets()[2] n_rows = src_sheet.nrows print("sheet rows:{}".format(n_rows)) dst_book = xlwt.Workbook() dst_sheet = dst_book.add_sheet('Sheet1') # copy the head row = src_sheet.row_values(2) dst_sheet.write(0, 0, row[0]) dst_sheet.write(0, 1, row[2]) dst_sheet.write(0, 20, "generate by whj") row = src_sheet.row_values(3) for i, r in enumerate(row): dst_sheet.write(1, i+1, r) # copy and calc work time ind = 2 for i in range(4, n_rows): row = src_sheet.row_values(i) if i%2 == 0: dst_sheet.write(ind, 0, row[2] + ":".encode('utf-8') + row[10]) ind += 1 else: # write title dst_sheet.write(ind, 0, "start~end") dst_sheet.write(ind+1, 0, "worktime") dst_sheet.write(ind+2, 0, "overtime") dst_sheet.write(ind+3, 0, "comment") for j, r in enumerate(row): time_list = re.findall(r'.{5}', r) is_weekend, day_tag = check_weekend(src_sheet.cell_value(3, j)) tag, start_end, work_duration, over_duration = proc_time(time_list, is_weekend) dst_sheet.write(ind, j+1, start_end) dst_sheet.write(ind+1, j+1, work_duration) dst_sheet.write(ind+2, j+1, over_duration) dst_sheet.write(ind+3, j+1, tag) if is_weekend: dst_sheet.write(ind-1, j+1, day_tag) ind += 4 dst_book.save("new.xls")

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#! python import os import re from distutils.dir_util import mkpath def all_subroutines(interface_in): # remove comments comment_block_exp = re.compile(r'/\*(?:\s|.)*?\*/') subroutine_exp = re.compile(r'subroutine (?:\s|.)*?end subroutine.*') function_exp = re.compile(r'function (?:\s|.)*?end function.*') interface = comment_block_exp.sub('',interface_in) subroutine_list = subroutine_exp.findall(interface) function_list = function_exp.findall(interface) subroutine_list = subroutine_list + function_list subroutine_list = map(lambda x: x.strip(),subroutine_list) return subroutine_list def real_convert(val_string): return val_string def complex_convert(val_string): return '(' + val_string + ',0.)' def convert_types(interface_in,converter): regexp = re.compile(r'<type_convert=(.*?)>') interface = interface_in[:] while 1: sub = regexp.search(interface) if sub is None: break converted = converter(sub.group(1)) interface = interface.replace(sub.group(),converted) return interface def generic_expand(generic_interface,skip_names=[]): generic_types ={'s' :('real', 'real', real_convert, 'real'), 'd' :('double precision','double precision',real_convert, 'double precision'), 'c' :('complex', 'complex',complex_convert, 'real'), 'z' :('double complex', 'double complex',complex_convert, 'double precision'), 'cs':('complex', 'real',complex_convert, 'real'), 'zd':('double complex', 'double precision',complex_convert, 'double precision'), 'sc':('real', 'complex',real_convert, 'real'), 'dz':('double precision','double complex', real_convert, 'double precision')} generic_c_types = {'real':'float', 'double precision':'double', 'complex':'complex_float', 'double complex':'complex_double'} # cc_types is specific in ATLAS C BLAS, in particular, for complex arguments generic_cc_types = {'real':'float', 'double precision':'double', 'complex':'void', 'double complex':'void'} #2. get all subroutines subs = all_subroutines(generic_interface) print len(subs) #loop through the subs type_exp = re.compile(r'<tchar=(.*?)>') TYPE_EXP = re.compile(r'<TCHAR=(.*?)>') routine_name = re.compile(r'(subroutine|function)\s*(?P<name>\w+)\s*\(') interface = '' for sub in subs: #3. Find the typecodes to use: m = type_exp.search(sub) if m is None: interface = interface + '\n\n' + sub continue type_chars = m.group(1) # get rid of spaces type_chars = type_chars.replace(' ','') # get a list of the characters (or character pairs) type_chars = type_chars.split(',') # Now get rid of the special tag that contained the types sub = re.sub(type_exp,'<tchar>',sub) m = TYPE_EXP.search(sub) if m is not None: sub = re.sub(TYPE_EXP,'<TCHAR>',sub) sub_generic = sub.strip() for char in type_chars: type_in,type_out,converter, rtype_in = generic_types[char] sub = convert_types(sub_generic,converter) function_def = sub.replace('<tchar>',char) function_def = function_def.replace('<TCHAR>',char.upper()) function_def = function_def.replace('<type_in>',type_in) function_def = function_def.replace('<type_in_c>', generic_c_types[type_in]) function_def = function_def.replace('<type_in_cc>', generic_cc_types[type_in]) function_def = function_def.replace('<rtype_in>',rtype_in) function_def = function_def.replace('<rtype_in_c>', generic_c_types[rtype_in]) function_def = function_def.replace('<type_out>',type_out) function_def = function_def.replace('<type_out_c>', generic_c_types[type_out]) m = routine_name.match(function_def) if m: if m.group('name') in skip_names: print 'Skipping',m.group('name') continue else: print 'Possible bug: Failed to determine routines name' interface = interface + '\n\n' + function_def return interface #def interface_to_module(interface_in,module_name,include_list,sdir='.'): def interface_to_module(interface_in,module_name): pre_prefix = "!%f90 -*- f90 -*-\n" # heading and tail of the module definition. file_prefix = "\npython module " + module_name +" ! in\n" \ "!usercode '''#include \"cblas.h\"\n"\ "!'''\n"\ " interface \n" file_suffix = "\n end interface\n" \ "end module %s" % module_name return pre_prefix + file_prefix + interface_in + file_suffix def process_includes(interface_in,sdir='.'): include_exp = re.compile(r'\n\s*[^!]\s*<include_file=(.*?)>') include_files = include_exp.findall(interface_in) for filename in include_files: f = open(os.path.join(sdir,filename)) interface_in = interface_in.replace('<include_file=%s>'%filename, f.read()) f.close() return interface_in def generate_interface(module_name,src_file,target_file,skip_names=[]): print "generating",module_name,"interface" f = open(src_file) generic_interface = f.read() f.close() sdir = os.path.dirname(src_file) generic_interface = process_includes(generic_interface,sdir) generic_interface = generic_expand(generic_interface,skip_names) module_def = interface_to_module(generic_interface,module_name) mkpath(os.path.dirname(target_file)) f = open(target_file,'w') user_routines = os.path.join(sdir,module_name+"_user_routines.pyf") if os.path.exists(user_routines): f2 = open(user_routines) f.write(f2.read()) f2.close() f.write(module_def) f.close() def process_all(): # process the standard files. for name in ['fblas','cblas','clapack','flapack']: generate_interface(name,'generic_%s.pyf'%(name),name+'.pyf') if __name__ == "__main__": process_all()

[ "409511038@qq.com" ]

409511038@qq.com

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/kubernetes/test/test_settings_api.py

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2021-01-13T06:05:51.564765

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# coding: utf-8 """ Kubernetes No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: v1.6.5 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import os import sys import unittest import kubernetes.client from kubernetes.client.rest import ApiException from kubernetes.client.apis.settings_api import SettingsApi class TestSettingsApi(unittest.TestCase): """ SettingsApi unit test stubs """ def setUp(self): self.api = kubernetes.client.apis.settings_api.SettingsApi() def tearDown(self): pass def test_get_api_group(self): """ Test case for get_api_group """ pass if __name__ == '__main__': unittest.main()

[ "mehdy@google.com" ]

mehdy@google.com

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WangDongDong1234/python_code

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2020-04-15T12:35:03.427589

2019-09-16T15:38:25

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#list记录以i为分段点的最长增长子序列的个数 #返回最大分段点的坐标 def Max(list,n): max=0 index=0; for i in range(0,n): if list[i]>max: max=list[i] index=i return index; def LIS(array,len,list,list_increase): # list记录以i为分段点的最长增长子序列的个数 for i in range(0,len): list.append(1) list_increase[i].append(array[i]) for j in range(0,i): if (array[i]>array[j])and(list[j]+1>list[i]): list[i]=list[j]+1 for item in list_increase[j]: if item not in list_increase[i]: list_increase[i].append(item) location=Max(list,len) return location arr=input() arr_tmp=arr.strip(" ").split(" ") #起初输入的数组 array_0=[] array=[] for item in arr_tmp: array.append(int(item)) array_0.append(int(item)) list1=[] list_increase=[] for i in range(0,len(array_0)): tmp_list=[] list_increase.append(tmp_list) index=LIS(array,len(array),list1,list_increase) #print(list1) #print(list_increase) array.reverse() list_reduce=[] list2=[] for i in range(0,len(array_0)): tmp_list = [] list_reduce.append(tmp_list) index2=LIS(array,len(array),list2,list_reduce) list2.reverse() list_reduce.reverse() #print(list2) #print(list_reduce) sum=0 index=0 for i in range(0, len(list1)): if sum<(list1[i]+list2[i]): sum=list1[i]+list2[i] index=i list_increase[index].sort() list_reduce[index].sort(reverse=True) #print(list_increase[index]) #print(list_reduce[index]) print_list=[] for item in list_increase[index]: print_list.append(item) for i in range(1,len(list_reduce[index])): print_list.append(list_reduce[index][i]) for item in print_list: print(item,end=" ")

[ "827495316@qq.com" ]

827495316@qq.com

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/sdk/test/test_frequency_response.py

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bs-yapily/yapily-sdk-python

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refs/heads/master

2020-08-26T17:18:53.156429

2019-10-22T11:01:16

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# coding: utf-8 """ Yapily API To access endpoints that require authentication, use your application key and secret created in the Dashboard (https://dashboard.yapily.com) # noqa: E501 OpenAPI spec version: 0.0.155 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import unittest import yapily from yapily.models.frequency_response import FrequencyResponse # noqa: E501 from yapily.rest import ApiException class TestFrequencyResponse(unittest.TestCase): """FrequencyResponse unit test stubs""" def setUp(self): pass def tearDown(self): pass def testFrequencyResponse(self): """Test FrequencyResponse""" # FIXME: construct object with mandatory attributes with example values # model = yapily.models.frequency_response.FrequencyResponse() # noqa: E501 pass if __name__ == '__main__': unittest.main()

[ "systems@yapily.com" ]

systems@yapily.com

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/examples/linear_model/plot_logistic_l1_l2_sparsity.py

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[]

no_license

testsleeekGithub/trex

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9d27a9b44d814ede3996a37365d63814214260ae

refs/heads/master

2020-08-01T11:47:43.926750

2019-11-06T06:47:19

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""" ============================================== L1 Penalty and Sparsity in Logistic Regression ============================================== Comparison of the sparsity (percentage of zero coefficients) of solutions when L1, L2 and Elastic-Net penalty are used for different values of C. We can see that large values of C give more freedom to the model. Conversely, smaller values of C constrain the model more. In the L1 penalty case, this leads to sparser solutions. As expected, the Elastic-Net penalty sparsity is between that of L1 and L2. We classify 8x8 images of digits into two classes: 0-4 against 5-9. The visualization shows coefficients of the models for varying C. """ print(__doc__) # Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr> # Mathieu Blondel <mathieu@mblondel.org> # Andreas Mueller <amueller@ais.uni-bonn.de> # License: BSD 3 clause import numpy as np import matplotlib.pyplot as plt from mrex.linear_model import LogisticRegression from mrex import datasets from mrex.preprocessing import StandardScaler X, y = datasets.load_digits(return_X_y=True) X = StandardScaler().fit_transform(X) # classify small against large digits y = (y > 4).astype(np.int) l1_ratio = 0.5 # L1 weight in the Elastic-Net regularization fig, axes = plt.subplots(3, 3) # Set regularization parameter for i, (C, axes_row) in enumerate(zip((1, 0.1, 0.01), axes)): # turn down tolerance for short training time clf_l1_LR = LogisticRegression(C=C, penalty='l1', tol=0.01, solver='saga') clf_l2_LR = LogisticRegression(C=C, penalty='l2', tol=0.01, solver='saga') clf_en_LR = LogisticRegression(C=C, penalty='elasticnet', solver='saga', l1_ratio=l1_ratio, tol=0.01) clf_l1_LR.fit(X, y) clf_l2_LR.fit(X, y) clf_en_LR.fit(X, y) coef_l1_LR = clf_l1_LR.coef_.ravel() coef_l2_LR = clf_l2_LR.coef_.ravel() coef_en_LR = clf_en_LR.coef_.ravel() # coef_l1_LR contains zeros due to the # L1 sparsity inducing norm sparsity_l1_LR = np.mean(coef_l1_LR == 0) * 100 sparsity_l2_LR = np.mean(coef_l2_LR == 0) * 100 sparsity_en_LR = np.mean(coef_en_LR == 0) * 100 print("C=%.2f" % C) print("{:<40} {:.2f}%".format("Sparsity with L1 penalty:", sparsity_l1_LR)) print("{:<40} {:.2f}%".format("Sparsity with Elastic-Net penalty:", sparsity_en_LR)) print("{:<40} {:.2f}%".format("Sparsity with L2 penalty:", sparsity_l2_LR)) print("{:<40} {:.2f}".format("Score with L1 penalty:", clf_l1_LR.score(X, y))) print("{:<40} {:.2f}".format("Score with Elastic-Net penalty:", clf_en_LR.score(X, y))) print("{:<40} {:.2f}".format("Score with L2 penalty:", clf_l2_LR.score(X, y))) if i == 0: axes_row[0].set_title("L1 penalty") axes_row[1].set_title("Elastic-Net\nl1_ratio = %s" % l1_ratio) axes_row[2].set_title("L2 penalty") for ax, coefs in zip(axes_row, [coef_l1_LR, coef_en_LR, coef_l2_LR]): ax.imshow(np.abs(coefs.reshape(8, 8)), interpolation='nearest', cmap='binary', vmax=1, vmin=0) ax.set_xticks(()) ax.set_yticks(()) axes_row[0].set_ylabel('C = %s' % C) plt.show()

[ "shkolanovaya@gmail.com" ]

shkolanovaya@gmail.com

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/malaya/emotion.py

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[ "MIT" ]

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AsyrafAzlan/Malaya

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2021-05-21T22:47:41.863857

2020-04-03T15:00:21

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2020-04-03T21:04:44

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from malaya.supervised import softmax from malaya.path import PATH_EMOTION, S3_PATH_EMOTION from herpetologist import check_type _emotion_label = ['anger', 'fear', 'joy', 'love', 'sadness', 'surprise'] _availability = [ 'bert', 'tiny-bert', 'albert', 'tiny-albert', 'xlnet', 'alxlnet', ] def available_transformer_model(): """ List available transformer emotion analysis models. """ return _availability def multinomial(**kwargs): """ Load multinomial emotion model. Returns ------- BAYES : malaya._models._sklearn_model.BAYES class """ return softmax.multinomial( PATH_EMOTION, S3_PATH_EMOTION, 'emotion', _emotion_label, **kwargs ) @check_type def transformer(model: str = 'xlnet', **kwargs): """ Load Transformer emotion model. Parameters ---------- model : str, optional (default='bert') Model architecture supported. Allowed values: * ``'bert'`` - BERT architecture from google. * ``'tiny-bert'`` - BERT architecture from google with smaller parameters. * ``'albert'`` - ALBERT architecture from google. * ``'tiny-albert'`` - ALBERT architecture from google with smaller parameters. * ``'xlnet'`` - XLNET architecture from google. * ``'alxlnet'`` - XLNET architecture from google + Malaya. Returns ------- MODEL : Transformer class """ model = model.lower() size = size.lower() if model not in _availability: raise Exception( 'model not supported, please check supported models from malaya.emotion.available_transformer_model()' ) return softmax.transformer( PATH_EMOTION, S3_PATH_EMOTION, 'emotion', _emotion_label, model = model, size = size, validate = validate, )

[ "husein.zol05@gmail.com" ]

husein.zol05@gmail.com

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/xai/brain/wordbase/nouns/_filthiness.py

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[ "MIT" ]

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refs/heads/master

2021-01-19T12:33:54.964379

2017-01-28T02:00:50

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#calss header class _FILTHINESS(): def __init__(self,): self.name = "FILTHINESS" self.definitions = [u'the quality of being very dirty'] self.parents = [] self.childen = [] self.properties = [] self.jsondata = {} self.specie = 'nouns' def run(self, obj1 = [], obj2 = []): return self.jsondata

[ "xingwang1991@gmail.com" ]

xingwang1991@gmail.com

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/PythonWeb/Ajax/1809/Day02/1808/AjaxDemo02/run01.py

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demo112/1809

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refs/heads/master

2020-04-09T07:10:49.906231

2019-02-27T13:08:45

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from flask import Flask, render_template, request from flask_sqlalchemy import SQLAlchemy import json import pymysql pymysql.install_as_MySQLdb() app = Flask(__name__) app.config['SQLALCHEMY_DATABASE_URI']="mysql://root:123456@localhost:3306/flask" db = SQLAlchemy(app) class Login(db.Model): __tablename__ = "login" id = db.Column(db.Integer,primary_key=True) lname = db.Column(db.String(30)) lpwd = db.Column(db.String(30)) uname = db.Column(db.String(30)) def to_dict(self): dic = { 'id':self.id, 'lname' : self.lname, 'lpwd' : self.lpwd, 'uname' : self.uname, } return dic @app.route('/00-homework') def homework(): return render_template('00-homework.html') @app.route('/00-server') def server00(): lname = request.args.get('lname') login=Login.query.filter_by(lname=lname).first() if login: return "用户名称已经存在" else: return "通过" @app.route('/01-post') def post(): return render_template("01-post.html") @app.route('/01-server',methods=['POST']) def server01(): uname = request.form['uname'] uage = request.form['uage'] return "传递过来的uname的值为:%s,传递过来的uage的值为:%s" % (uname,uage) @app.route('/02-form',methods=['GET','POST']) def form(): if request.method == 'GET': return render_template('02-form.html') else: uname = request.form['uname'] uage = request.form['uage'] return "传递过来的uname的值为:%s,传递过来的uage的值为:%s" % (uname,uage) @app.route('/03-getlogin') def getlogin(): return render_template('03-getlogin.html') @app.route('/03-server') def server03(): logins = Login.query.all() str1 = "" for login in logins: str1 += str(login.id) str1 += login.lname str1 += login.lpwd str1 += login.uname return str1 @app.route('/04-json') def json_views(): return render_template("04-json.html") @app.route('/04-server') def server04(): # list = ["王老六","RapWang","隔壁老顽固"] # dic = { # 'name':'TeacherWang', # 'age' : 35, # 'gender' : 'Male', # } # jsonStr=json.dumps(dic) list = [ { "name":"wangwc", "age":35, "gender":"Male", }, { 'name':'RapWang', 'age':40, 'gender':'Female', } ] jsonStr=json.dumps(list) return jsonStr @app.route('/05-json-login') def json_login(): return render_template('05-json-login.html') @app.route('/05-server') def server05(): #得到id为一的Login的信息 login=Login.query.filter_by(id=1).first() jsonStr=json.dumps(login.to_dict()) return jsonStr if __name__ == "__main__": app.run(debug=True)

[ "huafengdongji@hotmail.com" ]

huafengdongji@hotmail.com

35e5326d1aad1c103b3e76b9efefdd92864a2926

45edff14271724c5bf27e62e96eeb635840eae22

/ML/ensemble_learning/util.py

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[]

no_license

DaiJitao/machine_learning

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refs/heads/master

2021-06-25T23:52:06.066315

2021-02-07T16:17:50

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""" 决策树常用的工具类：指标的计算、数据的加载 """ import numpy as np def load_data(): ''' 根据《统计学习方法》第八章8.1.3产生数据. :return: ''' dataset_label = np.array([[0, 1], [1, 1], [2, 1], [3, -1], [4, -1], [5, -1], [6, 1], [7, 1], [8, 1], [9, -1]]) return dataset_label

[ "hejinrong@news.cn" ]

hejinrong@news.cn